Red Ice TV - No-Go Zone： Empty Shelves, Fire Fauci & The Covid Jab Lots Tied To Deaths Show Criminal Intent

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00:01:14.000 Behold the new Christ.

00:01:16.000 Behold the same old horde.

00:01:20.000 Gather at the altar ring.

00:01:24.000 New beginning, new word.

00:01:27.000 And the word was death.

00:01:30.000 And the word was without light.

00:01:34.000 The new beatitude.

00:01:37.000 Good luck, you're on your own.

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00:02:24.700 Bless the slothful, the wrathful, the vain

00:02:28.340 Blessed are the gladness

00:02:31.060 May they feast us to famine and more

00:02:35.200 What of the pious, the pure of harm, the peaceful

00:02:51.820 What of the meek, the mourning, and the merciful

00:02:58.720 All doomed

00:03:02.240 All doomed

00:03:21.820 Behold a new Christ 0.79

00:03:31.640 Behold the same old horn

00:03:35.120 Gather at the altar ring

00:03:38.760 New beginning, new word

00:03:41.800 And the word was death

00:03:44.900 And the word was without light

00:03:49.040 The new beatitude

00:03:52.080 Good luck

00:03:53.760 What of the pious, the pure of harm, the peaceful

00:03:59.400 What of the meek, the mourning, and the merciful

00:04:06.280 What of the righteous

00:04:09.400 What of the charitable

00:04:13.020 What of the truthful

00:04:16.200 The dutiful

00:04:18.240 The decent

00:04:21.500 fruit

00:04:22.340 From the

00:04:26.020 Van

00:04:30.500 You

00:04:31.260 All알

00:04:32.400 You

00:04:32.840 All

00:04:33.120 You

00:04:33.820 All

00:04:34.860 You

00:04:35.320 All

00:04:35.600 The

00:04:40.980 You

00:04:41.360 All

00:04:42.300 You

00:04:43.780 All

00:04:44.340 You

00:04:45.400 You

00:04:46.380 Get

00:04:47.320 All

00:04:48.580 You

00:04:49.260 Come

00:04:50.260 Yeah

00:04:51.260 Toomed of the poor

00:04:56.040 Doomed of the peaceful

00:04:59.380 Doomed of the meek 0.89

00:05:02.880 Doomed of the merciful

00:05:06.140 For the word is now death

00:05:09.440 And the word is now without life

00:05:13.580 The newbie attitude

00:05:16.500 For the newbie

00:05:21.460 You're on your own

00:05:23.240 Welcome ladies and gentlemen

00:05:42.100 Thank you for joining us here today

00:05:43.220 It is Wednesday the 12th of January 2022

00:05:47.460 Good to see you all

00:05:48.960 Hope you're doing well

00:05:49.720 It has been a crazy day here

00:05:52.000 As we gather some data for you guys

00:05:54.440 Some news

00:05:55.540 Some updates on some of the severity of the situation

00:05:58.300 Both with the COVID jab

00:05:59.420 But some other things as well

00:06:00.740 And it's going to be an important show today

00:06:02.400 We have a segment a little bit later coming up

00:06:03.920 We're going to talk about kind of a new thing

00:06:06.540 And I just came across this the other day here

00:06:08.220 About the lot numbers

00:06:09.620 When it comes to the deadly COVID vaccine

00:06:12.440 Or the jab that they're rolling out

00:06:14.620 And forcing upon multiple countries now

00:06:16.880 Germany, Austria is coming there 0.87

00:06:18.600 Soon enough of course it's going to come

00:06:20.800 Mandatory to many other countries as well

00:06:22.860 And it's a very interesting find

00:06:25.460 It's like a mathematical find

00:06:26.920 That basically proves that

00:06:28.820 There is criminal intent

00:06:30.520 Behind the rollout of this vaccine

00:06:34.120 And because it's

00:06:35.440 We'll get into the weeds and the details of this year later

00:06:37.840 But it basically has to do with the lot numbers

00:06:39.640 And the fact that it's statistically impossible

00:06:42.440 To have deaths

00:06:44.600 And so many adverse effects

00:06:46.080 Tied to certain lot numbers

00:06:48.020 While they're not tied to other lot numbers

00:06:51.680 So that's coming up a bit later

00:06:53.120 Very important segment

00:06:54.200 So definitely stay tuned for that

00:06:55.680 In the meantime

00:06:57.360 Some formalities

00:06:58.520 If you want to join us here today

00:06:59.600 Entropy Stream is open

00:07:00.780 Entropystream.live slash RedEyesTV

00:07:02.960 If you want to join in through the show today

00:07:04.580 Otherwise

00:07:05.980 I think it's good

00:07:08.400 I think we're good to go here

00:07:10.340 Ladies and gentlemen

00:07:11.380 A little bit late today

00:07:12.040 But what are you going to do

00:07:12.900 That's what happens

00:07:14.140 Yes

00:07:15.380 So

00:07:15.860 If you didn't see it yet

00:07:17.560 Of course

00:07:17.920 Check out the latest

00:07:18.740 Weekend Warrior show

00:07:19.440 It's up right now

00:07:20.160 On RedEyesMembers.com

00:07:21.260 Also important show

00:07:22.780 We talked about the

00:07:23.340 Mass formation psychosis thing

00:07:24.800 A little bit

00:07:25.060 That was fact checked

00:07:26.260 And I had a critique of that

00:07:28.540 In terms of Malone's

00:07:29.780 You know

00:07:30.700 Delivery

00:07:31.820 But the basic point

00:07:33.860 Of what he's getting across

00:07:35.360 Is of course a good one

00:07:36.360 It's basically

00:07:37.800 You know

00:07:40.520 It's hysteria around this

00:07:41.820 Right

00:07:41.980 But it's created by the media

00:07:43.300 And the authorities

00:07:43.860 And stuff like that

00:07:44.500 And it's more

00:07:45.620 We have more of that here today

00:07:46.960 They're going after Fauci

00:07:49.300 Pretty hard too

00:07:49.940 There's something changing

00:07:51.080 In the

00:07:51.840 How do we put this

00:07:53.840 In terms of the

00:07:55.080 It feels like they're surrendering

00:07:57.320 Certain things

00:07:59.220 Now there's a very big pressure

00:08:00.820 Of course

00:08:01.200 To expose everything behind

00:08:02.740 You know

00:08:03.720 The faulty

00:08:04.660 What do you call it

00:08:06.280 Reaction

00:08:06.860 To the

00:08:08.460 The pandemic

00:08:09.140 You know

00:08:10.500 In terms of like

00:08:11.080 The masking

00:08:12.000 That narrative

00:08:12.680 They've kind of given up on

00:08:13.880 The comorbidities narrative

00:08:15.840 That's been exposed

00:08:16.960 The last

00:08:17.400 Over the last few days

00:08:18.400 And again

00:08:19.020 This time

00:08:19.980 It's Rochelle Walensky herself

00:08:21.240 That's saying

00:08:21.820 There's like 75%

00:08:23.620 Of the people

00:08:24.220 Dying with COVID

00:08:26.060 Has had at least

00:08:27.980 Four or more comorbidities

00:08:29.840 And now they're saying

00:08:30.500 This on media

00:08:30.980 What was the other thing

00:08:32.480 There was one other thing too

00:08:33.620 They were like

00:08:34.000 They're

00:08:34.680 Conceding territory

00:08:36.740 On some of these fronts

00:08:38.060 And it's almost like

00:08:38.820 Are they

00:08:39.940 Is the

00:08:40.360 Is the damage done

00:08:42.740 Is that it

00:08:44.180 Are they

00:08:44.580 Even Bill Gates

00:08:45.560 Tweeted out here

00:08:46.180 The other day

00:08:46.560 It's like basically

00:08:47.120 You know

00:08:47.380 Basically like

00:08:48.120 Oh it's

00:08:48.720 You know

00:08:49.140 Basically

00:08:49.480 This doesn't mean

00:08:50.160 They'll throw a curveball

00:08:51.620 And again

00:08:52.120 It will be some

00:08:52.640 New variant

00:08:53.720 Or is this alluding

00:08:54.940 To the fact that

00:08:55.500 There will be

00:08:55.900 An actual deadly

00:08:58.060 Pathogen being released

00:09:00.280 To be that

00:09:00.660 Some kind of variant

00:09:01.760 An actual deadly mutant

00:09:03.560 Of this chimeric virus

00:09:05.400 That they have

00:09:05.860 The bioweapon

00:09:06.540 Or is this

00:09:07.760 Or something else

00:09:08.500 Maybe

00:09:08.720 Maybe it's smallpox

00:09:09.720 Maybe it's

00:09:10.500 I don't know

00:09:11.980 The combination of

00:09:12.740 Empty shelves

00:09:13.440 Get into that

00:09:14.880 In a moment

00:09:15.340 The collapse

00:09:16.420 Of the supply chains

00:09:17.400 And the

00:09:18.900 Basically you know

00:09:21.180 The cyber attack

00:09:21.920 Things that they've been

00:09:22.520 Talking about

00:09:23.040 And that the

00:09:23.900 Deaths that they've

00:09:24.920 Managed to enforce

00:09:25.860 So far

00:09:26.400 And the

00:09:26.900 The injuries

00:09:28.460 The damage

00:09:28.960 From the vaccine

00:09:29.640 Which is

00:09:30.420 Accumulative

00:09:31.020 Right

00:09:31.340 Which I think

00:09:32.420 We're going to see

00:09:32.840 Pan out here

00:09:33.420 Within the next

00:09:34.100 I don't know

00:09:34.800 Five to ten years

00:09:35.600 Maybe sooner

00:09:36.080 Maybe two to

00:09:36.920 Two to eight years

00:09:37.940 We're not sure

00:09:38.880 We don't know

00:09:39.340 Maybe that's enough

00:09:41.760 Maybe the damage

00:09:43.140 Is done

00:09:43.600 Now it's just about

00:09:44.700 Pulling back

00:09:45.360 And kind of seeing

00:09:46.080 The house of cards

00:09:46.640 Collapse

00:09:47.720 I'm not sure yet

00:09:48.640 I haven't figured this out

00:09:49.500 But anyway

00:09:50.480 We'll get into it here

00:09:51.460 Today

00:09:51.860 Ladies and gentlemen

00:09:53.920 Okay so first

00:09:55.760 Out the gates

00:09:56.640 Rest in peace

00:09:58.680 Colin Flaherty

00:10:00.100 He passed away

00:10:00.960 Here a couple of days ago

00:10:02.760 I think about two days

00:10:03.740 Maybe

00:10:04.040 Three four days ago

00:10:06.060 I'm not quite sure

00:10:06.740 I heard about it yesterday

00:10:08.100 Of course author of

00:10:10.880 White Gird Bleed a Lot 0.94

00:10:12.080 Don't Make the Black Kids Angry 0.99

00:10:13.300 Very prominent 0.98

00:10:14.180 When it comes to covering

00:10:15.060 The out of control

00:10:16.660 Black on white violence 0.96

00:10:17.920 Which basically 0.86

00:10:19.940 No one out there

00:10:20.580 Is talking about

00:10:21.140 Beyond you know

00:10:21.820 The dissident right

00:10:23.220 And the alternative circles

00:10:24.320 And so forth

00:10:24.880 This is widely denied

00:10:28.480 Or even if it is recognized

00:10:30.520 It's just

00:10:31.040 They just look the other way

00:10:32.920 You know

00:10:33.160 When it comes to

00:10:33.560 Mainstream media

00:10:34.060 And stuff like that

00:10:34.860 So we have the

00:10:35.960 I had the pleasure

00:10:36.680 Of having Colin

00:10:38.340 Twice on the show

00:10:39.200 And we'll link those up

00:10:40.120 Again on RedEyes.tv

00:10:41.920 Of course they've been

00:10:42.540 There all this time

00:10:43.380 But again

00:10:43.660 Putting them again

00:10:44.580 On the front page

00:10:45.340 In a news article

00:10:46.700 So you guys can access them

00:10:47.620 If you want to listen to them

00:10:48.720 Two of the shows we did

00:10:50.300 The Untold Story

00:10:51.940 Of Black and White Crime 0.93

00:10:52.880 That's from October 2015

00:10:54.620 And then we have one

00:10:56.400 From August 2016 as well

00:10:58.280 The media is lying

00:10:58.860 About Black Lives Matter 0.68

00:10:59.680 And black mob violence

00:11:02.340 Now of course

00:11:03.440 Colin passed away

00:11:04.220 From cancer

00:11:04.940 I believe it was

00:11:05.480 Colon cancer

00:11:06.360 But he was fighting

00:11:08.360 Till the very end

00:11:10.440 Both with his work

00:11:12.320 And of course

00:11:12.820 Literally with the disease

00:11:13.960 He had and so forth

00:11:14.800 So anyway

00:11:15.360 We hope he is in

00:11:17.100 Valhalla with his ancestors

00:11:19.140 Because he did

00:11:19.940 Fight to the bitter end

00:11:21.140 So Rip Colin Flaherty

00:11:23.440 Very good guy

00:11:24.900 Definitely check out

00:11:25.520 Those interviews

00:11:25.980 If you feel so inclined

00:11:29.200 Good stuff

00:11:29.860 Okay

00:11:31.520 Let's see

00:11:33.520 Let's begin with this then

00:11:34.780 We're going to talk a bit

00:11:35.460 About the empty shelves here

00:11:37.020 That's coming

00:11:38.180 And that's already here

00:11:40.240 Actually I should say

00:11:40.960 And begin there

00:11:43.080 When it comes to

00:11:43.600 The food supply issues

00:11:44.980 Here's a short video

00:11:46.160 Just showing a couple

00:11:47.800 Of the screenshots

00:11:49.600 From various locations

00:11:50.980 North Carolina

00:11:52.100 Tennessee

00:11:53.200 Nashville

00:11:54.280 This is Knoxville

00:11:55.680 Rockford, Illinois

00:11:57.120 Wyoming

00:11:57.900 Seattle, Washington

00:11:59.640 Anchorage, Alaska

00:12:01.300 And Louisiana

00:12:03.380 Right

00:12:04.900 And we've seen

00:12:05.440 A couple of these

00:12:06.200 Right now

00:12:06.700 All around

00:12:08.020 There's some news reports

00:12:09.340 About this too

00:12:09.940 Of course

00:12:10.380 Empty grocery shelves

00:12:12.580 Could take months

00:12:13.720 To get restocked

00:12:15.700 Supply chain issues

00:12:16.700 Lead to empty

00:12:17.320 Grocery store shelves

00:12:18.420 Let's check out

00:12:19.740 This report here

00:12:21.260 Down to our big story

00:12:22.320 At four

00:12:22.700 Grocery store shelves

00:12:23.780 Are empty yet again

00:12:24.880 And it could reportedly

00:12:25.760 Be months

00:12:26.360 Before they're stocked

00:12:27.620 To normal levels

00:12:29.120 Industry insiders

00:12:30.140 Saying that the

00:12:30.740 Supply chain struggle

00:12:32.040 Is not a quick fix

00:12:33.360 Right now

00:12:33.720 And that's because

00:12:34.320 Of the labor shortages

00:12:35.280 As well as inflation

00:12:36.720 Not a good combo

00:12:37.740 Fox 5's Tisha Lewis

00:12:39.080 Joining us live

00:12:39.900 From Woodbridge, Virginia

00:12:40.880 With more on this

00:12:42.180 Tisha

00:12:42.420 I mean everybody

00:12:43.200 On Nextdoor

00:12:44.100 And all of these

00:12:45.180 Platforms online

00:12:46.020 Neighborhood platforms

00:12:47.220 They're sharing

00:12:47.860 Their pictures

00:12:48.240 They're talking about this

00:12:49.400 It's all over

00:12:52.280 Social media

00:12:52.980 Angie

00:12:53.440 You are absolutely

00:12:54.480 Correct

00:12:54.860 Many folks noticing

00:12:55.920 This over the weekend

00:12:56.720 When they did

00:12:57.120 Their grocery shopping

00:12:57.960 A far cry

00:12:59.160 From the good old days

00:13:00.840 We're talking about

00:13:02.020 Empty shelves

00:13:03.360 Empty produce

00:13:04.400 Empty freezers

00:13:06.120 Low on produce

00:13:07.020 Low on fruits

00:13:07.960 And vegetables

00:13:08.640 Now some grocery

00:13:10.060 Stores are turning

00:13:11.120 To off brands

00:13:12.460 Just to keep

00:13:13.780 Consumers

00:13:14.660 And get consumers

00:13:15.560 What they need

00:13:16.660 Now some of the

00:13:17.120 Hard to get items

00:13:18.100 Include beef

00:13:20.080 Pork

00:13:20.920 Eggs

00:13:21.780 Even maple syrup

00:13:23.720 Is what we're hearing

00:13:24.500 From some folks

00:13:25.160 That deal with

00:13:26.180 Supply chain management

00:13:28.080 This comes as

00:13:29.160 The omicron variant

00:13:30.360 And coronavirus cases

00:13:31.480 Continue to rise

00:13:32.420 Fueling a workforce

00:13:33.560 Shortage

00:13:34.280 We're told

00:13:34.980 There's a shortage

00:13:35.500 Of truckers

00:13:36.300 A shortage

00:13:36.740 Of workers

00:13:37.320 At the warehouses

00:13:38.140 Plus fewer

00:13:39.180 Meat cutters

00:13:40.160 Massive staffing

00:13:41.360 Challenges

00:13:41.880 That have reignited

00:13:42.880 Supply chain struggles

00:13:44.320 As you can see

00:13:45.260 In the video and picture

00:13:46.040 Some grocery stores

00:13:46.900 Are opting to let

00:13:47.700 Shelves go empty

00:13:48.820 While again

00:13:49.540 Others are exploring

00:13:50.440 Other brands

00:13:51.240 Less popular brands

00:13:52.700 Hoping to give

00:13:53.520 Consumers other options

00:13:55.300 Angie

00:13:55.980 So Tisha

00:13:56.860 Can you walk us

00:13:57.420 Through this

00:13:57.940 And break it down

00:13:58.680 In the simplest form

00:13:59.600 Just how is this

00:14:01.160 Happening

00:14:01.540 How long could it

00:14:02.980 Possibly last

00:14:03.860 Well those are

00:14:06.660 The big questions

00:14:07.260 Tonight right

00:14:07.760 So here's the

00:14:08.460 Easy version

00:14:09.500 101

00:14:10.020 Let's say you have

00:14:10.860 A bakery

00:14:11.340 The bakery cannot

00:14:12.380 Get the ingredients

00:14:13.680 They need to bake bread

00:14:15.260 They supply that bread

00:14:16.620 To grocery stores

00:14:17.480 So in turn

00:14:18.000 The grocery stores

00:14:18.780 Don't have the bread

00:14:20.260 So they're

00:14:20.700 Ready for some

00:14:21.640 An amazing

00:14:23.000 Explanation here lads

00:14:24.860 Turning to

00:14:25.780 Alternate options

00:14:26.920 That's an easy

00:14:27.960 Way to describe

00:14:28.920 But what we do know

00:14:29.700 Is that we could be

00:14:30.580 In this crunch

00:14:31.320 At least for

00:14:32.740 The next six months

00:14:34.160 Angie

00:14:34.880 Alright let me pause

00:14:36.580 Right there

00:14:36.860 Yeah so

00:14:37.920 They're saying

00:14:38.860 Basically

00:14:39.660 The reason is

00:14:41.500 Basically Omicron

00:14:42.840 It's nothing to do

00:14:43.880 With the vaccine

00:14:44.440 Mandates or anything

00:14:45.240 Like this

00:14:45.580 Not that people

00:14:46.460 Are like

00:14:46.760 Dying and sick 0.69

00:14:48.480 And not showing up 0.76

00:14:49.080 To work

00:14:49.440 Because they've been

00:14:49.940 Forcefully jabbed

00:14:50.860 In the work sector

00:14:52.220 And stuff

00:14:52.560 This is

00:14:52.980 Look

00:14:53.380 We've talked about this

00:14:55.100 For months and months

00:14:56.280 Now right

00:14:56.620 I think we

00:14:57.080 When we began

00:14:58.420 Warning about this

00:14:59.120 Last year

00:15:00.540 It was even

00:15:02.420 21

00:15:03.040 No sorry

00:15:03.840 Two years ago

00:15:04.500 Then almost

00:15:04.900 Like 2020

00:15:05.580 I think we started

00:15:06.560 Warning about this

00:15:08.460 Maybe

00:15:09.580 Summer

00:15:10.820 Spring

00:15:11.220 We had Ice Age Farmer

00:15:12.540 On the show

00:15:12.900 Back in

00:15:13.380 When did he join

00:15:14.480 The Flashback Friday show

00:15:15.320 June or July

00:15:16.420 Maybe I think it was

00:15:17.280 2020

00:15:18.820 Something like that

00:15:19.920 Like look

00:15:20.460 This is

00:15:20.900 Coming

00:15:21.800 This is intentional

00:15:22.860 They're doing

00:15:23.860 A controlled demolition

00:15:25.360 Basically of everything

00:15:26.200 That we

00:15:26.520 That we know

00:15:27.580 So this is part

00:15:28.780 Of like the

00:15:29.200 Depopulation campaign

00:15:30.180 It's part of the

00:15:30.680 Reforming of course

00:15:31.480 The food industry

00:15:32.120 And stuff like that too

00:15:32.780 There's something

00:15:34.100 Coming in the wake of this

00:15:34.940 We'll get into that

00:15:35.540 In a moment too

00:15:36.100 I think we have

00:15:38.740 Something like

00:15:39.480 You know

00:15:41.040 They're talking about

00:15:42.440 Like oh well

00:15:42.980 They can't get this

00:15:44.180 And they can't get that

00:15:45.240 Right

00:15:45.440 But this is like

00:15:46.980 This has been

00:15:47.520 Intentional right

00:15:48.220 We've talked about

00:15:48.800 Farmers who've been 0.99

00:15:49.580 Paid by the government

00:15:50.600 To destroy their crops

00:15:51.680 Ordered in fact

00:15:52.460 By you know

00:15:53.000 To destroy their crops

00:15:53.940 Otherwise face penalties

00:15:55.980 They've been offered

00:15:56.900 More money

00:15:57.600 To destroy their crops

00:15:58.980 Than to literally

00:16:00.180 You know

00:16:00.700 Selling them locally

00:16:01.820 In their area

00:16:02.640 Or something like that

00:16:03.660 I heard from one guy

00:16:04.460 You know

00:16:05.480 It's hard also

00:16:06.260 To get feed for animals

00:16:07.640 So if you have animals

00:16:08.680 You know

00:16:09.060 Even if you're trying

00:16:09.900 To be independent

00:16:11.100 And so forth

00:16:11.760 That's very hard as well

00:16:13.300 So like

00:16:13.660 They're seeking to

00:16:14.960 Make as a disruptive

00:16:17.700 And as a

00:16:18.960 Holodomorish 1.00

00:16:19.860 Genocidal campaign

00:16:21.180 As possible

00:16:21.960 In the next

00:16:22.620 I think next

00:16:23.180 Couple of years

00:16:24.180 Here essentially

00:16:24.740 I think it's going

00:16:25.960 To snowball

00:16:26.580 It's going to be

00:16:26.980 A dirty snowball

00:16:27.600 It's going to 0.99

00:16:28.000 Suck up all 0.95

00:16:28.460 These other issues 0.99

00:16:29.440 And with shortages

00:16:30.820 You'll see a bunch

00:16:31.520 Of other problems

00:16:32.200 You know

00:16:32.680 Happen of course

00:16:33.280 But they have

00:16:34.320 A fixed word

00:16:35.400 Of course

00:16:35.820 Maybe we should

00:16:38.080 Show that now

00:16:38.780 Let's show that

00:16:39.740 Now actually

00:16:40.320 This is a

00:16:41.760 Billionaire here

00:16:42.860 I've not heard

00:16:44.220 Of him before

00:16:44.780 But sorry

00:16:45.920 Jim

00:16:46.320 I said John

00:16:47.060 John Mellon

00:16:48.580 He's a

00:16:50.020 You know

00:16:50.820 Entrepreneur

00:16:51.780 Billionaire

00:16:52.580 Investor

00:16:53.320 And stuff like that

00:16:54.140 And he runs

00:16:55.840 The largest

00:16:56.880 Cellular

00:16:57.800 Agriculture

00:16:58.660 Investment firm

00:16:59.960 In the world

00:17:00.680 And he has

00:17:01.200 Three predictions

00:17:02.900 For us

00:17:03.500 And of course

00:17:04.020 When they say

00:17:04.440 Predictions

00:17:05.000 They don't mean

00:17:06.900 That they're like

00:17:07.420 Guessing that this

00:17:08.360 Is where

00:17:08.660 This is going to go

00:17:09.280 This is by design

00:17:10.440 This is where

00:17:10.920 They will

00:17:11.580 Ensure that things

00:17:13.280 Go

00:17:13.500 If we can stop

00:17:14.840 Them

00:17:15.000 That's a different

00:17:15.480 Thing

00:17:15.740 But if

00:17:16.800 They get their

00:17:17.700 Way

00:17:17.920 This is what

00:17:18.420 They'll do

00:17:18.820 Synthetic food

00:17:20.360 Plant based food

00:17:21.980 And basically

00:17:22.540 Animal products

00:17:23.300 And things

00:17:23.620 Will go out

00:17:24.040 The window

00:17:24.380 Check out

00:17:24.760 What he said

00:17:25.120 Here

00:17:25.220 Three predictions

00:17:25.980 One

00:17:27.320 Is that in the

00:17:28.520 Next ten years

00:17:29.260 The dairy industry

00:17:30.280 As we know it

00:17:31.280 Today

00:17:31.580 Where cows

00:17:32.160 Produce milk

00:17:33.480 Will be gone

00:17:34.220 It will be

00:17:35.220 Plant based

00:17:35.820 Alternative milks

00:17:36.920 Or milks made

00:17:38.540 By precision

00:17:39.180 Fermentation

00:17:39.760 The second

00:17:40.360 Prediction

00:17:40.740 Is that also

00:17:41.540 Within ten years

00:17:42.600 The meat industry

00:17:44.020 Will be half

00:17:45.060 Either plant based

00:17:46.220 Foods

00:17:46.680 Or foods

00:17:48.260 Derived from

00:17:48.860 What's called

00:17:49.220 Cellular agriculture

00:17:50.280 And the third

00:17:51.460 Is that within

00:17:52.260 Ten years again

00:17:53.260 Half of the world's

00:17:54.880 Fish will be

00:17:55.480 Produced in factories

00:17:56.540 We already have

00:17:57.800 The products

00:17:58.300 All we need

00:17:59.100 Is the scale

00:17:59.740 The money

00:18:00.820 And the will

00:18:01.780 There you go

00:18:04.340 The will

00:18:04.940 And that's what

00:18:05.360 They're providing

00:18:06.580 The money

00:18:06.980 And they're providing

00:18:07.900 The will of course

00:18:08.920 Now it's just

00:18:10.120 About the scale

00:18:10.840 And that will be

00:18:11.520 Of course

00:18:11.900 The solution

00:18:12.740 To the problem

00:18:14.800 Of supply chains

00:18:15.880 And not being

00:18:16.420 Enough food

00:18:17.660 Around and so forth

00:18:18.520 Well we have

00:18:19.040 This other issue

00:18:19.520 We can start

00:18:20.040 Building

00:18:20.560 Basically

00:18:21.720 Constructing

00:18:23.280 Is not the right

00:18:23.700 Word

00:18:23.820 But growing

00:18:24.380 I guess

00:18:24.700 Is the right

00:18:25.020 Word

00:18:25.160 Growing

00:18:25.700 Cellular cultures

00:18:27.960 In laboratories

00:18:28.920 That will be

00:18:29.700 Become the meat

00:18:30.620 That you eventually

00:18:31.260 Eat

00:18:31.640 Right

00:18:31.900 It was an

00:18:33.140 Interesting poll

00:18:33.800 Here

00:18:34.000 That ties into

00:18:34.980 All of this

00:18:35.420 Of where things

00:18:36.100 Are going

00:18:36.460 Basically

00:18:36.840 The vast majority

00:18:38.260 Of Americans

00:18:38.740 And this is

00:18:39.360 Applicable of course

00:18:40.060 To most

00:18:40.560 Of the west

00:18:41.760 Right now

00:18:42.240 I don't know

00:18:43.480 How third world

00:18:44.260 And second world

00:18:45.000 Countries will

00:18:46.180 Fare with supply

00:18:47.400 Chain shutdowns

00:18:48.240 And stuff

00:18:48.440 We've seen reports

00:18:49.180 Out of China 0.94

00:18:49.820 For example

00:18:50.240 With like

00:18:51.160 Super stringent

00:18:51.820 Lockdowns

00:18:52.340 And stuff like that

00:18:52.800 Of course

00:18:53.040 People can't show up

00:18:53.700 To work

00:18:54.040 Which means

00:18:54.540 They can't produce

00:18:55.160 All the things

00:18:55.600 That they need

00:18:56.140 To produce

00:18:56.660 And they're

00:18:57.340 The global supplier

00:18:58.260 Now

00:18:58.560 But they have

00:18:59.780 To stay at home

00:19:00.280 And they're

00:19:00.520 Basically starving

00:19:01.220 Right

00:19:02.140 There's certainly

00:19:03.100 In Australia

00:19:03.580 They have this too

00:19:04.160 Basically the government

00:19:05.220 Provides food

00:19:06.200 For you

00:19:06.780 They give you food

00:19:07.660 They come to your door

00:19:08.960 And of course

00:19:09.500 A very safe

00:19:10.460 Drop off

00:19:11.320 Procedure

00:19:13.060 To give you food

00:19:14.940 And

00:19:16.640 You know

00:19:18.040 Sure

00:19:19.820 That might temporarily

00:19:20.880 Work or something

00:19:21.660 But I mean

00:19:22.060 Eventually

00:19:22.380 That's not going to work

00:19:23.480 Eventually you'll

00:19:24.100 Run out of it

00:19:24.640 And what's going to

00:19:25.400 Pick up the slack

00:19:26.260 Of that

00:19:26.560 Is going to be

00:19:27.520 Synthetic food

00:19:28.300 It's going to be

00:19:29.320 Food that basically

00:19:30.220 Is 0.88

00:19:30.740 As I said

00:19:31.880 Grown in a laboratory

00:19:33.220 And it's going to

00:19:34.420 Be like

00:19:35.200 Things like bug protein

00:19:36.260 And things like that

00:19:37.060 Where you know

00:19:37.360 Cockroach milk

00:19:38.240 You've not seen

00:19:40.200 Anything yet

00:19:40.700 Anyway

00:19:41.540 Vast majorities 0.94

00:19:42.260 Of American

00:19:42.620 Believed society

00:19:43.300 Is in a state

00:19:44.000 Of decay

00:19:44.720 This is the

00:19:46.340 Trafalgar group

00:19:47.360 And of course

00:19:47.740 They were one

00:19:48.740 Of the most

00:19:49.460 I think

00:19:50.700 Accurate

00:19:51.520 Polling firms

00:19:53.160 Was it in the

00:19:55.380 2016 election

00:19:56.520 Or was it

00:19:57.240 I think it was

00:19:57.840 I think it was

00:19:58.700 2016 election

00:19:59.660 But they were

00:20:00.200 Basically one of

00:20:00.700 The only groups

00:20:01.620 The polling groups

00:20:03.100 That kind of

00:20:03.940 Caught the

00:20:04.480 Trump thing

00:20:05.320 While all the

00:20:06.180 Other ones

00:20:06.480 Were like

00:20:06.720 98.8%

00:20:10.640 Certain that

00:20:11.220 Hillary would 0.99

00:20:11.780 Win or whatever

00:20:12.260 But yeah

00:20:13.100 They have

00:20:13.460 76.8%

00:20:15.520 Of Americans

00:20:16.760 Think that

00:20:17.660 Society is in 0.87

00:20:18.740 A state of

00:20:19.340 Decay

00:20:19.860 And only

00:20:21.400 9.8%

00:20:22.700 Thinks that

00:20:23.900 We're in a

00:20:24.720 State of

00:20:25.080 Progress

00:20:25.560 Those are

00:20:26.880 Actually interchangeable

00:20:27.800 Now if you

00:20:28.520 Want to be

00:20:29.180 Detailed about it

00:20:30.080 What they call

00:20:31.100 Progress

00:20:31.600 Is actually

00:20:32.460 The decay

00:20:33.020 But you know

00:20:33.480 We're not

00:20:34.560 Getting into

00:20:35.020 Semantics here

00:20:36.700 While 13.4%

00:20:39.140 Are unsure

00:20:40.020 That's right

00:20:40.720 Real quick

00:20:42.360 Here before we

00:20:42.820 Proceed

00:20:43.100 A White 0.97

00:20:43.660 Over on

00:20:43.960 Enterprise

00:20:44.220 James says

00:20:44.800 Rip Colin

00:20:45.660 Flaherty

00:20:46.160 Indeed

00:20:46.520 Thank you sir

00:20:47.540 Appreciate that

00:20:48.180 Our condolences

00:20:49.440 To everyone

00:20:50.620 In and around

00:20:51.360 Flaherty

00:20:52.320 Of course

00:20:52.700 Great loss

00:20:54.280 I was lucky

00:20:55.600 Enough to talk

00:20:56.080 To him

00:20:56.320 He was a

00:20:57.180 Great guy

00:20:57.560 Also of course

00:20:58.700 Amidst this

00:21:00.360 We have

00:21:01.020 EU holding

00:21:03.240 Large scale

00:21:04.280 Cyber attack

00:21:05.360 Supply chain

00:21:06.300 Drills

00:21:06.700 Completely

00:21:07.620 Coincidental

00:21:08.340 Nothing to do

00:21:09.180 With anything

00:21:09.540 Just happening

00:21:10.660 In a vacuum

00:21:11.360 On its own

00:21:12.000 The European 0.80

00:21:13.160 Union will

00:21:13.720 Reportedly stage

00:21:14.800 A far-reaching

00:21:15.720 Cyber security

00:21:16.680 Exercise

00:21:17.160 Intended to

00:21:17.740 Prepare for

00:21:18.220 An attack

00:21:18.600 On its

00:21:18.920 Distribution

00:21:19.580 Networks

00:21:20.460 Imagine my

00:21:21.160 Shock

00:21:21.420 Now again

00:21:22.180 The reason

00:21:23.180 For the attack

00:21:23.880 On the

00:21:24.600 Distribution

00:21:25.120 Networks

00:21:25.820 Is 0.88

00:21:26.700 Part of the

00:21:28.340 Very same 0.69

00:21:28.860 Reason

00:21:29.260 That in

00:21:30.980 The Dutch 0.59

00:21:31.680 Documents

00:21:33.420 That the

00:21:33.820 Dutch

00:21:34.300 Freedom

00:21:34.680 Party

00:21:35.020 Released

00:21:35.520 Where

00:21:36.600 They show

00:21:37.080 That the

00:21:37.400 World Economic

00:21:38.020 Forum

00:21:38.380 Had approached

00:21:39.120 And communicated

00:21:40.020 With Dutch

00:21:40.560 Politicians

00:21:41.300 About their

00:21:41.800 Close relationship

00:21:42.660 With the

00:21:43.200 Great Reset

00:21:44.020 And their

00:21:45.220 Communication

00:21:46.680 With the

00:21:47.120 World Economic

00:21:47.800 Forum

00:21:48.100 And their

00:21:48.620 Plans for

00:21:49.220 A Great

00:21:49.520 Reset

00:21:49.880 Where they

00:21:51.440 Talked about

00:21:52.000 How basically

00:21:52.440 Because of

00:21:53.160 Your close

00:21:53.560 Relationship

00:21:54.180 You guys

00:21:55.240 And the

00:21:56.240 Netherlands

00:21:56.720 Will have

00:21:57.840 An intricate

00:21:58.180 Role

00:21:58.820 In the

00:22:00.620 Future

00:22:01.460 Global

00:22:02.060 Trade

00:22:02.500 They told

00:22:02.980 Them

00:22:03.160 In these

00:22:03.780 Letters

00:22:04.640 And then of

00:22:05.980 Of course

00:22:06.140 Twitter

00:22:06.420 Immediately

00:22:06.740 Did

00:22:07.080 Fact

00:22:07.420 Checks

00:22:08.320 On this

00:22:08.740 And said

00:22:09.020 This is

00:22:10.500 Taken out

00:22:11.700 Of context

00:22:12.320 This is

00:22:12.960 Exaggerated

00:22:13.840 This is

00:22:14.160 Nothing to

00:22:14.640 Do with

00:22:15.020 Anything

00:22:15.360 It doesn't

00:22:17.060 Mean

00:22:17.400 Anything

00:22:17.960 Right

00:22:18.340 So they

00:22:19.560 Want a

00:22:20.060 Fourth

00:22:20.460 Industrial

00:22:21.300 Revolution

00:22:21.900 Internet

00:22:22.420 Of things

00:22:23.140 Eventually

00:22:23.500 Internet

00:22:23.820 Of bodies

00:22:24.500 But let's

00:22:25.220 Begin with

00:22:25.540 The basics

00:22:26.100 First

00:22:26.420 And part

00:22:27.460 Of that

00:22:27.740 Of course

00:22:28.120 Is to

00:22:28.920 Have control

00:22:29.500 Of every

00:22:30.100 Single

00:22:30.520 Item

00:22:30.900 Every

00:22:31.260 Single

00:22:31.840 Shipment

00:22:32.600 Not even

00:22:33.620 Like every

00:22:34.000 Pallet

00:22:34.460 Of

00:22:34.660 Produce

00:22:35.240 But like

00:22:35.600 Down to

00:22:36.080 The very

00:22:36.540 Minutest

00:22:37.520 You know

00:22:38.140 Product

00:22:38.960 On that

00:22:39.560 Pallet

00:22:40.020 Everything

00:22:41.140 Needs to

00:22:41.620 Have an

00:22:41.800 IP

00:22:42.000 Address

00:22:42.440 This is

00:22:43.620 Why the

00:22:43.940 5G

00:22:44.360 Network

00:22:44.720 Is being

00:22:45.140 You know

00:22:45.780 Partially

00:22:46.160 While that's

00:22:47.020 Being built

00:22:47.400 Out in the

00:22:47.800 Way

00:22:48.000 It is

00:22:48.560 As well

00:22:48.900 Everything's

00:22:50.280 Going to

00:22:50.420 Be

00:22:50.820 Super

00:22:51.740 Aware

00:22:52.120 And haptic

00:22:52.700 Devices

00:22:53.240 Everywhere

00:22:53.580 And stuff

00:22:53.920 Like that

00:22:54.180 Right

00:22:54.320 But the

00:22:54.920 Point is

00:22:55.240 You have

00:22:56.260 To destroy

00:22:57.040 Before you

00:22:57.520 Can build

00:22:57.920 Up

00:22:59.500 These drills

00:23:00.400 And of

00:23:00.800 Course

00:23:00.940 As we

00:23:01.220 Know

00:23:01.380 It doesn't

00:23:01.620 Mean that

00:23:01.880 Every

00:23:02.220 Single

00:23:02.740 Drill

00:23:03.540 Or test

00:23:04.240 That they

00:23:04.520 Run

00:23:04.820 Will go

00:23:05.660 Live

00:23:06.260 So to

00:23:06.580 Speak

00:23:06.780 And they

00:23:07.000 Actually

00:23:07.420 Will do

00:23:07.900 It

00:23:08.040 But many

00:23:09.000 Times it

00:23:09.440 Has

00:23:09.740 So it

00:23:09.980 Always

00:23:10.200 Stands to

00:23:11.080 Reason

00:23:11.360 That it's

00:23:11.880 Not completely

00:23:12.820 Unfounded

00:23:13.540 To worry

00:23:14.120 About this

00:23:14.560 And say

00:23:14.880 Okay

00:23:15.760 Well

00:23:16.100 They're

00:23:16.580 Doing

00:23:16.800 A drill

00:23:17.080 Does that

00:23:17.360 Mean

00:23:17.460 They'll

00:23:17.680 Actually

00:23:18.000 Do

00:23:18.280 It

00:23:18.580 Will

00:23:19.340 Go

00:23:19.480 Live

00:23:19.780 And

00:23:19.900 Will

00:23:20.020 Actually

00:23:20.200 Do

00:23:20.400 It

00:23:20.500 This

00:23:20.640 Time

00:23:20.860 We

00:23:21.280 Don't

00:23:21.420 Know

00:23:21.540 Right

00:23:21.720 But

00:23:22.480 You

00:23:29.500 By

00:23:29.700 France

00:23:30.100 The drill

00:23:31.280 Is intended

00:23:31.780 As a stress

00:23:32.660 Test

00:23:33.060 To largely

00:23:34.200 Simulate a

00:23:34.960 Supply chain

00:23:35.720 Breach

00:23:36.060 Across

00:23:36.440 Europe

00:23:36.720 The bloc

00:23:37.220 Will then

00:23:37.540 Coordinate

00:23:37.940 Diplomatic

00:23:39.040 And public

00:23:39.480 Responses

00:23:40.040 To the

00:23:40.640 Market

00:23:40.920 Tax

00:23:41.240 As well

00:23:41.680 As to

00:23:42.080 Spill

00:23:42.620 Over

00:23:43.020 Socio-economic

00:23:44.100 Effects

00:23:44.700 In other

00:23:45.660 Member States

00:23:46.260 And that's

00:23:46.700 Basically

00:23:47.060 Like

00:23:47.440 No food

00:23:48.320 On the

00:23:48.580 Shelves

00:23:48.920 And things

00:23:49.460 Like that

00:23:49.920 No products

00:23:50.500 You can't

00:23:51.200 Repair your

00:23:51.800 Car

00:23:52.200 You can

00:23:52.540 You know

00:23:52.720 All these

00:23:53.240 Like just

00:23:53.660 This cascading

00:23:54.560 Domino

00:23:55.060 Type

00:23:55.300 Effect

00:23:55.620 Because

00:23:56.480 Of

00:23:56.700 One

00:23:56.960 You know

00:23:58.080 Basically

00:23:58.700 If the

00:23:59.000 Weakest

00:23:59.380 Link

00:23:59.660 Go

00:23:59.960 It

00:24:00.260 Will

00:24:00.620 All

00:24:00.840 Go

00:24:01.040 That's

00:24:01.460 How

00:24:01.540 It

00:24:01.660 Works

00:24:01.880 Right

00:24:02.100 The

00:24:02.560 Hacks 0.99

00:24:02.740 Will

00:24:02.880 Be

00:24:03.040 Modelled

00:24:03.620 On

00:24:03.900 Past

00:24:04.220 Cyber

00:24:04.560 Attacks

00:24:04.940 Or

00:24:05.160 Those

00:24:05.480 Thought

00:24:06.640 To

00:24:06.980 Be

00:24:07.300 Likely

00:24:07.740 In

00:24:07.840 The

00:24:07.940 Future

00:24:08.200 In

00:24:08.420 Order

00:24:08.560 To

00:24:08.700 Be

00:24:08.840 As

00:24:09.060 Realistic

00:24:09.500 As

00:24:09.780 Possible

00:24:10.160 According

00:24:10.480 To

00:24:10.660 Documents

00:24:11.080 Cited

00:24:11.380 In

00:24:11.640 The

00:24:11.740 Report

00:24:12.080 The

00:24:12.700 Exercise

00:24:13.040 Is 0.88

00:24:13.280 Supposed

00:24:13.560 To

00:24:13.660 Start

00:24:13.900 Sometime

00:24:14.280 In

00:24:14.380 The

00:24:14.500 Coming

00:24:14.740 Days

00:24:15.040 And

00:24:15.520 Will

00:24:15.680 Continue

00:24:16.100 For

00:24:16.460 Six

00:24:16.960 Weeks 0.99

00:24:17.660 Oh shit 0.99

00:24:18.120 That's 0.99

00:24:18.340 A long

00:24:18.600 Time

00:24:18.820 I wish

00:24:20.340 That

00:24:20.500 They

00:24:20.600 Did

00:24:20.800 These

00:24:21.120 Things

00:24:22.200 Like

00:24:22.440 Televised

00:24:23.040 Like

00:24:23.240 They

00:24:23.380 Did

00:24:23.520 Event

00:24:23.740 201

00:24:24.060 That

00:24:25.360 Would

00:24:25.500 Actually

00:24:25.740 Be

00:24:26.040 Great

00:24:27.020 Right

00:24:27.260 Because

00:24:27.660 Then

00:24:27.800 We

00:24:27.880 Can

00:24:27.980 See

00:24:28.420 What

00:24:28.640 They're

00:24:28.780 Doing

00:24:29.040 And

00:24:29.200 What

00:24:29.340 They're

00:24:29.460 Talking

00:24:29.760 About

00:24:29.980 But

00:24:30.180 Of

00:24:30.460 Of

00:24:30.480 Of

00:24:30.500 Not

00:24:31.120 All

00:24:31.320 Of

00:24:31.420 Them

00:24:31.560 Is 0.88

00:24:31.820 Right

00:24:32.060 Or

00:24:32.260 Are

00:24:32.500 Here

00:24:33.780 Is 0.88

00:24:33.940 Another

00:24:34.140 Video

00:24:34.440 A little

00:24:34.680 Promotion

00:24:35.060 Here

00:24:35.220 For

00:24:35.360 You

00:24:35.500 Regarding

00:24:35.920 The

00:24:36.360 Coming

00:24:36.840 The

00:24:38.240 Or

00:24:38.400 The

00:24:38.580 Future

00:24:39.200 I

00:24:39.420 Should

00:24:39.540 Say

00:24:39.760 Of

00:24:40.040 Food

00:24:40.580 Basically

00:24:41.220 Soil

00:24:41.840 Into

00:24:41.960 Green

00:24:42.240 Check

00:24:42.480 This

00:24:42.640 Out

00:24:42.780 Here

00:24:42.920 What

00:24:44.760 We

00:24:45.020 Eat

00:24:45.340 Says 0.93

00:24:45.760 A lot

00:24:46.120 About

00:24:46.340 Who

00:24:46.640 We

00:24:46.920 Are

00:24:47.260 And

00:24:47.720 No

00:24:47.980 Food

00:24:48.380 Means

00:24:48.780 More

00:24:49.120 Than

00:24:49.360 Meat

00:24:49.800 It

00:24:50.500 Brings

00:24:50.820 Us

00:24:51.040 Together

00:24:51.400 It

00:24:52.320 Keeps

00:24:52.720 Traditions

00:24:53.280 Alive

00:24:53.800 It's

00:24:54.520 Part

00:24:54.820 Of

00:24:54.940 Our

00:24:55.100 Most

00:24:55.380 Cherished

00:24:56.040 Memories

00:24:56.680 But

00:24:59.280 The

00:24:59.400 Way

00:24:59.580 We

00:24:59.760 Make

00:25:00.140 Meat

00:25:00.600 Is 0.88

00:25:01.140 At

00:25:01.280 A

00:25:01.400 Breaking

00:25:01.640 Point

00:25:02.020 As

00:25:05.500 Our

00:25:05.660 Planet

00:25:05.960 Faces

00:25:06.360 Unprecedented

00:25:07.180 Challenges

00:25:07.840 We

00:25:08.440 Need

00:25:08.980 Unprecedented

00:25:09.760 Solutions

00:25:10.560 Imagine

00:25:12.380 A

00:25:12.600 World

00:25:12.920 Where

00:25:13.200 Meat

00:25:13.500 Comes

00:25:13.800 From

00:25:14.020 Animal

00:25:14.420 Cells

00:25:15.100 Instead

00:25:15.880 Of

00:25:16.180 Animal

00:25:16.520 Slaughter

00:25:17.040 Where

00:25:18.060 Your

00:25:18.260 Favorite

00:25:18.700 Food

00:25:19.200 Is 0.88

00:25:19.440 A

00:25:19.580 Force

00:25:19.840 For

00:25:20.100 Good

00:25:20.520 Because

00:25:22.200 Fixing

00:25:22.620 Our

00:25:22.780 Food

00:25:23.040 System

00:25:23.460 Isn't

00:25:23.880 Just

00:25:24.280 About

00:25:24.540 Food

00:25:24.960 It's

00:25:25.720 About

00:25:25.960 Our

00:25:26.140 Shared

00:25:26.460 Humanity

00:25:27.060 At

00:25:28.860 Upside

00:25:29.360 Foods

00:25:29.760 We've

00:25:30.260 Been

00:25:30.380 Producing

00:25:30.860 Real

00:25:31.280 Meat

00:25:31.720 Directly

00:25:32.260 From

00:25:32.480 Animal

00:25:32.840 Cells

00:25:33.200 Since

00:25:33.500 2015

00:25:34.340 In

00:25:37.000 That

00:25:37.200 Time

00:25:37.560 We've

00:25:37.880 Built

00:25:38.080 A

00:25:38.240 Groundbreaking

00:25:38.960 Team

00:25:39.480 Company

00:25:40.220 And

00:25:40.640 Industry

00:25:41.140 And

00:25:42.780 Today

00:25:43.180 We

00:25:43.760 Take

00:25:44.000 A

00:25:44.100 Historic

00:25:44.660 Step

00:25:45.040 Towards

00:25:45.360 Bringing

00:25:45.620 Cultivated

00:25:46.380 Meat

00:25:46.680 To

00:25:46.960 The

00:25:47.080 Table

00:25:47.380 It's

00:25:49.560 Time

00:25:49.760 To

00:25:49.880 Celebrate

00:25:50.360 How

00:25:50.520 Far

00:25:50.840 We've

00:25:51.120 Come

00:25:51.480 And

00:25:52.280 Look

00:25:52.480 Towards

00:25:52.860 The

00:25:53.080 Road

00:25:53.300 Ahead

00:25:53.760 Humanity's

00:25:56.820 Greatest

00:25:57.340 Innovations

00:25:57.980 Have

00:25:58.260 Changed

00:25:58.640 The

00:25:58.840 Course

00:25:59.200 Of

00:25:59.360 Our

00:25:59.480 History

00:25:59.900 For

00:26:00.160 The

00:26:00.260 Better

00:26:00.500 This

00:26:02.860 Is 0.88

00:26:03.340 One

00:26:03.560 Of

00:26:03.700 Them

00:26:03.920 Because

00:26:05.980 What

00:26:06.320 We

00:26:06.580 Eat

00:26:06.980 Defines

00:26:08.200 Our

00:26:08.600 Society

00:26:09.300 And

00:26:10.140 Society

00:26:10.680 Is 0.88

00:26:10.940 Changing

00:26:11.260 Welcome

00:26:13.500 To

00:26:14.000 The

00:26:14.140 Future

00:26:14.520 Of

00:26:14.780 Food

00:26:15.080 Upside

00:26:18.300 Foods

00:26:18.960 That's

00:26:20.060 Right

00:26:20.200 We'll

00:26:20.340 Talk

00:26:20.520 More

00:26:20.700 About

00:26:20.860 Them

00:26:21.000 Here

00:26:21.100 In

00:26:21.180 A

00:26:21.240 Moment

00:26:21.460 Yes

00:26:22.200 Someone

00:26:22.340 Reminded me

00:26:22.800 In

00:26:22.880 Chat

00:26:23.100 There

00:26:23.260 It's

00:26:23.500 Called

00:26:23.700 Forum

00:26:24.160 For

00:26:24.320 Democracy

00:26:24.900 I

00:26:25.260 Didn't

00:26:25.580 Mean

00:26:26.040 To

00:26:26.200 Get

00:26:26.440 Into

00:26:26.660 That

00:26:26.840 That's

00:26:27.040 Why

00:26:27.140 I

00:26:27.240 Didn't

00:26:27.540 Have

00:26:27.920 It

00:26:28.020 Easily

00:26:28.320 Accessible

00:26:28.860 In

00:26:29.040 My

00:26:29.180 Head

00:26:29.400 Sir

00:26:29.600 It's

00:26:29.780 Not

00:26:29.900 About

00:26:30.160 Getting

00:26:30.940 Things

00:26:31.260 Wrong

00:26:31.600 Intentionally

00:26:32.040 But

00:26:32.180 Thank

00:26:32.360 You

00:26:32.440 For

00:26:32.520 The

00:26:32.620 Reminder

00:26:32.900 I

00:26:33.020 Do

00:26:33.120 Appreciate

00:26:33.420 That

00:26:33.720 F

00:26:34.420 VD

00:26:35.160 Of

00:26:35.420 Course

00:26:35.580 That's

00:26:35.900 Theory

00:26:36.640 What's

00:26:37.000 His

00:26:37.080 Last

00:26:37.300 Name

00:26:37.440 Again

00:26:37.660 Something

00:26:38.820 Like

00:26:39.000 That

00:26:39.120 But

00:26:39.320 Just

00:26:39.960 To

00:26:40.120 Make

00:26:40.260 A

00:26:40.900 Point

00:26:41.140 Of

00:26:41.320 One

00:26:41.800 Thing

00:26:42.080 Of

00:26:42.200 How

00:26:42.300 The

00:26:42.400 World

00:26:42.540 Economic

00:26:42.840 Forums

00:26:43.160 Tied

00:26:43.500 In

00:26:43.680 Occasionally

00:26:45.020 We

00:26:45.140 Get

00:26:45.300 Some

00:26:45.480 Little

00:26:45.720 Clues

00:26:46.440 Like

00:26:46.640 That

00:26:46.800 They're

00:26:47.020 Actively

00:26:48.120 Engaging

00:26:48.540 With

00:26:48.800 Politicians

00:26:49.340 Remember

00:26:49.960 These

00:26:50.220 Are

00:26:50.360 Unelected

00:26:51.000 People

00:26:51.300 From

00:26:52.220 Bill

00:26:52.640 Gates

00:26:53.000 To

00:26:53.180 Klaus

00:26:53.460 Schwab

00:26:53.840 And

00:26:53.960 All

00:26:54.080 These

00:26:54.220 Big

00:26:55.220 Companies

00:26:56.500 And

00:26:56.780 NGOs

00:26:57.240 And

00:26:57.560 Groups

00:26:58.720 Stuff

00:26:59.000 They're

00:26:59.400 Unelected

00:27:00.180 Not

00:27:01.480 That

00:27:01.620 That

00:27:01.720 Would

00:27:01.840 Make

00:27:02.060 Things

00:27:02.340 Better

00:27:02.920 Of

00:27:03.120 Course

00:27:03.400 Our

00:27:04.160 Politicians

00:27:04.620 Is 0.88

00:27:04.800 Part

00:27:04.980 Of

00:27:05.080 The

00:27:05.260 Same 1.00

00:27:05.840 Bullshit 1.00

00:27:06.340 As 1.00

00:27:06.480 Well

00:27:06.640 All

00:27:07.480 Right

00:27:07.580 Anyway

00:27:07.780 So

00:27:07.940 Here's

00:27:08.560 I

00:27:08.940 Guess

00:27:09.440 That's

00:27:09.780 A

00:27:09.960 Like

00:27:11.280 A

00:27:11.400 Promotional

00:27:11.780 Video

00:27:12.100 From

00:27:12.400 This

00:27:12.620 Company

00:27:12.960 Upside

00:27:13.500 Foods

00:27:13.920 Right

00:27:14.200 California's

00:27:14.800 New

00:27:14.980 Lab

00:27:15.380 Grown

00:27:15.660 Meat

00:27:15.920 Facility

00:27:16.380 Is 0.88

00:27:16.580 The

00:27:16.720 World's

00:27:17.240 Most

00:27:17.760 Advanced

00:27:18.360 And

00:27:21.580 Then

00:27:21.700 They

00:27:21.820 Always

00:27:22.240 Talk

00:27:22.480 About

00:27:22.620 The

00:27:22.760 Problem

00:27:23.080 Of

00:27:23.320 Course

00:27:23.600 You

00:27:23.920 Know

00:27:24.040 Like

00:27:24.300 We

00:27:24.980 Can't

00:27:25.260 Continue

00:27:25.520 Like

00:27:25.720 This

00:27:25.940 And

00:27:26.140 Climate

00:27:26.540 Change

00:27:27.080 And

00:27:27.240 Cow

00:27:27.500 Farts

00:27:27.960 And

00:27:28.120 All

00:27:28.260 That

00:27:28.500 Nonsense

00:27:29.280 Basically

00:27:29.720 Right

00:27:29.960 And

00:27:30.880 So

00:27:31.020 Then

00:27:31.220 The

00:27:31.580 Solution

00:27:31.920 Of

00:27:32.120 Course

00:27:32.280 Is 0.88

00:27:32.480 To

00:27:32.620 Do

00:27:32.820 Synthetic

00:27:33.540 And

00:27:35.160 3D

00:27:36.100 Printed

00:27:36.700 Steaks

00:27:37.160 And

00:27:37.300 Things

00:27:37.460 Like

00:27:37.600 That

00:27:37.700 We've

00:27:37.960 Shown

00:27:38.240 Videos

00:27:38.580 Out

00:27:38.760 Of

00:27:38.900 Israel

00:27:40.220 Israeli

00:27:40.600 Companies

00:27:41.040 They're

00:27:41.260 Printing

00:27:42.740 Certain

00:27:43.060 Proteins

00:27:43.700 And

00:27:43.840 Stuff

00:27:44.060 And

00:27:44.200 It

00:27:44.320 Looks

00:27:44.600 Awful

00:27:45.520 Like

00:27:45.760 It

00:27:45.880 Looks

00:27:46.220 Just

00:27:46.620 It

00:27:47.260 Looks

00:27:47.460 Like

00:27:47.660 Play-Doh

00:27:48.160 Or

00:27:48.320 Something

00:27:48.540 In

00:27:48.700 Different

00:27:48.900 Layers

00:27:49.460 It's

00:27:49.640 Crazy 0.82

00:27:50.120 Virginian 0.97

00:27:51.360 Drifters

00:27:51.740 Says 0.93

00:27:52.200 Rest in

00:27:53.920 Peace

00:27:54.080 Colin

00:27:54.360 Flaherty

00:27:54.780 His

00:27:55.320 Videos

00:27:55.520 On

00:27:55.700 YouTube

00:27:55.940 Revealed

00:27:56.360 Just

00:27:56.580 How

00:27:56.800 Bad

00:27:57.200 The

00:27:57.460 Violence

00:27:57.840 Against 0.90

00:27:58.140 Whites 0.62

00:27:58.460 Is 0.88

00:27:58.840 And

00:27:59.440 Speaking

00:27:59.700 Of

00:27:59.920 The

00:28:00.060 Food

00:28:00.260 Shortage

00:28:00.560 Issue

00:28:00.900 I

00:28:01.100 Fear

00:28:01.340 That

00:28:01.520 They

00:28:01.640 Are

00:28:01.740 Planning

00:28:02.080 To

00:28:03.020 Time

00:28:03.260 The

00:28:03.380 Food

00:28:03.560 Shortages

00:28:03.980 With

00:28:04.220 The

00:28:04.400 Financial

00:28:04.840 Collapse

00:28:05.380 Absolutely

00:28:05.820 It's

00:28:06.100 It's

00:28:06.300 Not

00:28:06.600 Going to

00:28:06.740 Be

00:28:06.840 One

00:28:07.080 Thing

00:28:07.260 It's

00:28:07.420 Going to

00:28:07.540 Be

00:28:07.660 A

00:28:07.860 You

00:28:09.500 Know

00:28:09.600 It's

00:28:09.780 Going to

00:28:09.900 Be

00:28:09.980 A

00:28:10.120 Series

00:28:10.460 As

00:28:10.700 I

00:28:10.820 Say

00:28:10.920 In

00:28:11.020 Boxing

00:28:11.420 Of

00:28:11.620 Of

00:28:21.360 It's

00:28:21.960 Not

00:28:22.120 Only

00:28:22.300 To

00:28:22.600 Reject

00:28:23.640 It

00:28:23.940 And

00:28:24.520 Waking

00:28:25.340 People

00:28:25.600 Up

00:28:25.780 To

00:28:25.920 It

00:28:26.080 Like

00:28:26.440 We're

00:28:26.540 Trying

00:28:26.660 To

00:28:26.760 Do

00:28:26.860 Here

00:28:27.040 But

00:28:27.180 The

00:28:27.300 Point

00:28:27.500 Is 0.88

00:28:27.700 You

00:28:28.300 Have

00:28:28.480 To

00:28:28.580 Build

00:28:28.800 Community

00:28:29.220 You

00:28:29.360 Have

00:28:29.480 To

00:28:29.820 Get

00:28:30.520 To

00:28:30.740 Know

00:28:32.080 Your

00:28:32.280 People

00:28:32.560 At

00:28:32.780 In

00:28:33.120 Your

00:28:33.320 Area

00:28:33.640 Be

00:28:34.260 In

00:28:34.360 An

00:28:34.480 Area

00:28:34.700 Where

00:28:34.860 There's

00:28:35.020 Good

00:28:35.180 People

00:28:35.560 Where

00:28:35.880 They're

00:28:36.220 Kind

00:28:36.460 Of

00:28:36.520 On

00:28:36.620 Your

00:28:36.780 Page

00:28:37.100 And

00:28:37.220 And

00:28:38.160 Begin

00:28:38.560 To

00:28:38.880 Become

00:28:39.260 As

00:28:39.620 Independent

00:28:40.160 As

00:28:40.780 Possible

00:28:41.180 And

00:28:41.460 At

00:28:41.560 The

00:28:41.660 End

00:28:41.740 Of

00:28:41.840 The

00:28:41.920 Day

00:28:42.080 At

00:28:43.580 Least

00:28:43.800 Temporarily

00:28:44.400 You

00:28:44.920 Might

00:28:45.200 Have

00:28:45.320 To

00:28:45.440 Prepare

00:28:45.760 For

00:28:45.960 Something

00:28:46.300 Like

00:28:46.700 Late

00:28:48.280 1800s

00:28:49.560 Type

00:28:49.840 Technology

00:28:50.160 Think

00:28:50.520 Before

00:28:51.240 Electricity

00:28:52.040 Was

00:28:52.240 Widely

00:28:52.720 Distributed

00:28:53.280 Whatever

00:28:54.020 They

00:28:55.060 Had

00:28:55.440 Whatever

00:28:55.680 They

00:28:55.860 Were

00:28:55.960 Doing

00:28:56.280 At

00:28:56.560 That

00:28:56.740 Time

00:28:57.040 Am

00:28:57.220 I

00:28:57.360 100%

00:28:57.740 Prepared

00:28:58.000 No

00:28:58.200 I'm

00:28:58.800 Not

00:28:59.000 I

00:28:59.200 Wish

00:28:59.560 I

00:28:59.720 Was

00:28:59.940 We

00:29:00.740 Spend

00:29:00.980 So

00:29:01.160 Much

00:29:01.340 Time

00:29:01.580 Doing

00:29:01.800 The

00:29:01.960 Show

00:29:02.220 Preparing

00:29:02.720 For

00:29:02.940 All

00:29:03.040 This

00:29:03.280 Getting

00:29:04.220 The

00:29:04.400 Word

00:29:04.560 Out

00:29:04.700 To

00:29:04.820 You

00:29:05.000 Guys

00:29:05.220 Trying

00:29:05.400 To

00:29:05.520 Warn

00:29:05.740 As

00:29:05.840 Many

00:29:05.980 People

00:29:06.220 As

00:29:06.360 Possible

00:29:06.700 Because

00:29:13.580 You

00:29:21.820 Have

00:29:21.980 To

00:29:22.060 Be

00:29:22.240 As

00:29:22.560 Autonomous

00:29:23.680 As

00:29:24.020 Possible

00:29:24.540 It

00:29:25.660 Could

00:29:26.100 Just

00:29:26.320 Be

00:29:26.480 A

00:29:26.600 Matter

00:29:26.740 Of

00:29:26.920 Surviving

00:29:27.460 The

00:29:27.940 Tsunami

00:29:29.080 That's

00:29:29.280 Coming

00:29:29.500 It's

00:29:29.660 Actually

00:29:29.920 Maybe

00:29:31.120 It's

00:29:31.280 Not

00:29:31.440 Going

00:29:31.560 To

00:29:31.600 Be

00:29:31.680 That

00:29:31.840 Easy

00:29:32.040 Maybe

00:29:32.280 There's

00:29:32.480 Other

00:29:32.660 Things

00:29:32.960 They

00:29:33.100 Have

00:29:33.240 Up

00:29:33.360 Their

00:29:33.520 Sleeves

00:29:33.960 After

00:29:34.660 That

00:29:34.880 Point

00:29:35.160 Once

00:29:35.400 The

00:29:35.540 Vaccine

00:29:36.000 Kill

00:29:36.660 Off 1.00

00:29:36.900 Will

00:29:37.100 Will

00:29:37.540 Truly

00:29:37.760 Begin

00:29:38.080 And

00:29:38.240 The

00:29:38.340 Supply

00:29:38.640 Chain

00:29:38.860 Shutdown

00:29:39.320 And

00:29:39.480 If

00:29:39.880 You

00:29:39.960 Have

00:29:40.140 Segments

00:29:40.620 Or

00:29:40.840 Pockets

00:29:41.480 Here

00:29:41.620 And

00:29:41.700 There

00:29:41.860 That

00:29:42.620 Survive

00:29:43.160 Most

00:29:43.460 Of

00:29:43.620 That

00:29:43.760 Including

00:29:44.080 Like

00:29:44.300 The

00:29:44.420 Food

00:29:44.620 Shortages

00:29:45.080 And

00:29:45.260 Stuff

00:29:45.420 Like

00:29:45.540 That

00:29:45.700 By

00:29:46.340 Being

00:29:46.540 Independent

00:29:47.020 Who

00:29:48.300 Knows

00:29:48.480 Maybe

00:29:48.640 There's

00:29:48.820 Something

00:29:49.040 Else

00:29:49.280 At

00:29:49.400 That

00:29:49.520 Point

00:29:49.720 That

00:29:49.860 They

00:29:49.960 Have

00:29:50.080 Up

00:29:50.200 Their

00:29:50.320 Sleeve

00:29:50.540 Otherwise

00:29:50.800 Basically

00:29:51.280 They

00:29:51.460 Would

00:29:51.580 Be

00:29:51.680 Left

00:29:51.940 With

00:29:52.140 The

00:29:52.280 Most

00:29:52.620 Independently

00:29:53.840 Capable

00:29:54.400 People

00:29:54.800 Who

00:29:55.040 Are

00:29:55.240 Thinking

00:29:55.960 For

00:29:56.220 Themselves

00:29:56.700 I'm

00:29:56.920 Not

00:29:57.620 Sure

00:29:57.800 That

00:29:58.280 That's

00:29:58.560 The

00:29:58.760 To

00:29:59.500 Use

00:29:59.820 The

00:29:59.980 Georgia

00:30:00.280 Geist

00:30:00.580 I'm

00:30:00.760 Not

00:30:01.600 Sure

00:30:01.760 That's

00:30:02.160 The

00:30:02.280 500

00:30:02.640 Million

00:30:03.120 People

00:30:03.500 That

00:30:03.700 They

00:30:03.800 We'll

00:30:03.940 Have

00:30:04.200 Left

00:30:04.760 Standing

00:30:05.140 But

00:30:05.380 You

00:30:05.580 Know

00:30:05.700 We

00:30:07.000 Don't

00:30:07.500 Know

00:30:08.140 We

00:30:08.340 Don't

00:30:08.460 Know

00:30:08.720 Certain

00:30:09.060 Things

00:30:09.360 For

00:30:09.620 Sure

00:30:10.140 These

00:30:10.640 Are

00:30:10.840 We're

00:30:11.440 Guessing

00:30:11.840 Here

00:30:12.060 Unfortunately

00:30:13.360 That's

00:30:13.760 The

00:30:14.040 The

00:30:14.280 Drawback

00:30:16.500 When

00:30:16.660 You're

00:30:16.820 Fighting

00:30:17.060 Against

00:30:17.480 Evil

00:30:17.800 People

00:30:18.180 And

00:30:18.420 People

00:30:18.660 Who

00:30:18.780 Are

00:30:18.880 Doing

00:30:19.080 This

00:30:19.280 To

00:30:19.460 You

00:30:19.600 You're

00:30:19.780 Kind

00:30:19.960 Of

00:30:20.080 Not

00:30:20.820 Always

00:30:21.220 But

00:30:21.440 You

00:30:21.580 Many

00:30:22.220 Regards

00:30:22.560 You're

00:30:22.760 One

00:30:22.980 Two

00:30:23.140 Or

00:30:23.300 Even

00:30:23.460 Three

00:30:23.700 Steps

00:30:24.060 Behind

00:30:24.460 In

00:30:26.380 Many

00:30:26.540 Regards

00:30:26.800 We're

00:30:27.100 Lucky

00:30:27.400 Enough

00:30:27.660 If

00:30:27.820 You

00:30:27.920 Will

00:30:28.120 That

00:30:28.300 They

00:30:28.440 You're

00:30:28.600 Also

00:30:28.940 Saying

00:30:29.320 What

00:30:29.520 They

00:30:29.640 Want

00:30:29.880 To

00:30:29.980 Do

00:30:30.160 And

00:30:30.360 For

00:30:31.120 The

00:30:31.220 Most

00:30:31.400 Part

00:30:31.620 Those

00:30:32.140 Things

00:30:32.420 Tend

00:30:32.660 To

00:30:32.820 Pan

00:30:33.020 Out

00:30:33.220 Which

00:30:36.100 Causes

00:30:36.900 You

00:30:37.060 To

00:30:37.160 Be

00:30:37.300 Slightly

00:30:37.680 Ahead

00:30:38.000 Right

00:30:38.220 But

00:30:38.600 Again

00:30:38.740 Think

00:30:38.920 About

00:30:39.060 That

00:30:39.180 I

00:30:39.220 Mean

00:30:39.320 The

00:30:39.480 Supply

00:30:40.740 Chain

00:30:41.000 Issues

00:30:41.440 The

00:30:41.640 Food

00:30:41.840 Shortages

00:30:42.260 To

00:30:42.920 Most

00:30:43.280 People

00:30:43.660 They

00:30:43.900 Are

00:30:44.000 They're

00:30:44.280 Not

00:30:44.580 Tuning

00:30:44.860 Into

00:30:45.020 This

00:30:45.240 They

00:30:45.500 Think

00:30:45.860 Life

00:30:46.220 Is 0.88

00:30:46.360 Going

00:30:46.580 To

00:30:46.680 Continue

00:30:47.020 As

00:30:47.200 Us

00:30:47.520 And

00:30:47.780 Soon

00:30:48.040 Enough

00:30:48.260 We'll

00:30:48.720 Just

00:30:49.340 Get

00:30:49.500 Vaccinated 1.00

00:30:50.020 We'll

00:30:50.220 Get

00:30:50.340 Out

00:31:20.340 Like

00:31:20.980 We've

00:31:21.180 Had

00:31:21.360 And

00:31:21.500 That's

00:31:21.660 Why

00:31:21.760 We

00:31:21.860 Have

00:31:21.960 The

00:31:22.060 Tag

00:31:22.260 On

00:31:22.460 The

00:31:22.600 Website

00:31:22.960 The

00:31:23.160 Future

00:31:23.600 Is 0.88

00:31:23.980 The

00:31:24.300 Past

00:31:24.620 That

00:31:24.900 That's

00:31:25.240 Because

00:31:25.580 That's

00:31:25.840 Where

00:31:25.960 We're

00:31:26.100 Going

00:31:26.300 Right

00:31:26.540 All

00:31:27.340 Right

00:31:27.500 So

00:31:28.520 We

00:31:28.620 Did

00:31:28.740 That

00:31:28.980 We

00:31:29.240 Talked

00:31:29.500 About

00:31:29.640 This

00:31:29.840 Company

00:31:30.160 A

00:31:30.300 Little

00:31:30.440 Bit

00:31:30.580 Here

00:31:30.800 This

00:31:31.920 Is 0.88

00:31:32.100 Kind

00:31:32.280 Of

00:31:32.340 Interesting

00:31:32.660 To

00:31:33.720 DARPA

00:31:35.120 Seeks

00:31:35.540 Top

00:31:36.080 Chef

00:31:36.620 For

00:31:36.960 3D

00:31:37.600 Printed

00:31:38.100 Food

00:31:38.540 What

00:31:39.780 DARPA

00:31:40.360 We'll

00:31:40.520 Talk

00:31:40.660 More

00:31:40.780 About

00:31:40.920 DARPA

00:31:41.200 Later

00:31:41.440 By

00:31:41.600 The

00:31:41.680 When

00:31:41.900 It

00:31:41.960 Comes

00:31:42.080 To

00:31:42.200 The

00:31:42.480 The

00:31:43.700 The

00:31:44.540 Vaccine

00:31:44.900 Issue

00:31:45.120 And

00:31:45.240 Stuff

00:31:45.460 And

00:31:45.580 Of

00:31:45.680 Course

00:31:45.820 The

00:31:46.040 Document

00:31:46.620 That

00:31:46.860 They

00:31:47.000 Had

00:31:47.260 Or

00:31:47.500 Was

00:31:47.780 Released

00:31:48.180 I

00:31:48.560 Don't

00:31:48.620 Think

00:31:48.700 It

00:31:48.800 Was

00:31:48.920 Released

00:31:49.320 By

00:31:49.580 DARPA

00:31:49.920 But

00:31:50.100 There's

00:31:50.280 Someone

00:31:50.480 On

00:31:50.760 The

00:31:50.860 Inside

00:31:51.160 I

00:31:51.320 Think

00:31:51.460 Definitely

00:31:52.380 From

00:31:52.700 The

00:31:52.840 DoD

00:31:53.180 That

00:31:53.380 Had

00:31:53.540 Some

00:31:53.680 Of

00:31:53.760 Those

00:31:53.960 Documents

00:31:54.680 Regarding

00:31:55.040 Eco

00:31:55.840 Health

00:31:56.040 Alliance

00:31:56.440 And

00:31:56.620 NIAID

00:31:58.040 And

00:31:58.220 Stuff

00:31:58.360 Like

00:31:58.480 That

00:31:58.580 But

00:31:58.740 The

00:31:59.580 Defense

00:32:00.340 Advanced

00:32:01.220 Research

00:32:01.820 Projects

00:32:02.500 Agency

00:32:03.060 Or

00:32:03.380 DARPA

00:32:03.820 Wants

00:32:05.240 Ideas

00:32:05.840 For

00:32:06.740 Turning

00:32:06.980 Cellular

00:32:07.720 Biomass

00:32:08.580 Into

00:32:08.840 Safe

00:32:09.400 Visually

00:32:10.020 Appealing

00:32:10.680 Edible

00:32:11.300 And

00:32:11.600 Palatable

00:32:12.140 Food

00:32:12.780 That

00:32:13.060 Can

00:32:13.240 Support

00:32:13.700 The

00:32:13.960 Military

00:32:14.300 And

00:32:14.700 Civilians

00:32:15.240 When

00:32:15.540 Traditional

00:32:16.020 Food

00:32:16.420 Is 0.88

00:32:16.620 Unavailable

00:32:17.240 This

00:32:17.740 Is 0.88

00:32:18.000 Also

00:32:18.720 Happening

00:32:19.280 Completely

00:32:19.960 In

00:32:20.180 A

00:32:20.320 Vacuum

00:32:20.760 It

00:32:21.500 Doesn't

00:32:21.740 Relate

00:32:22.060 To

00:32:22.240 Anything

00:32:22.700 That

00:32:23.620 Is 0.88

00:32:23.880 Set

00:32:24.380 To

00:32:24.580 Happen

00:32:24.960 Or

00:32:25.120 Anything

00:32:25.280 Like

00:32:25.440 That

00:32:25.660 They're

00:32:27.940 Inviting

00:32:28.220 Small

00:32:28.560 Businesses

00:32:29.220 And

00:32:29.580 Innovators

00:32:30.040 To

00:32:30.260 Submit

00:32:30.660 Ideas

00:32:31.220 For

00:32:31.380 Turning

00:32:31.640 These

00:32:31.980 Cellular

00:32:32.600 Biomass

00:32:33.300 Created

00:32:34.340 Through

00:32:34.700 Its

00:32:34.880 Resource

00:32:35.560 Program

00:32:36.020 Into

00:32:36.300 Safe

00:32:36.800 Visually

00:32:37.320 Appealing

00:32:37.780 Edible

00:32:38.420 And

00:32:38.620 Palatable

00:32:38.960 Food

00:32:39.380 That

00:32:39.520 Can

00:32:39.640 Support

00:32:39.880 The

00:32:40.020 Military

00:32:40.300 Society

00:32:40.740 And

00:32:40.880 Civilians

00:32:41.340 DARPA

00:32:42.540 Resource

00:32:43.060 Program

00:32:43.660 Aims

00:32:43.980 To

00:32:44.120 Engineer

00:32:44.520 Versatile

00:32:45.120 Durable

00:32:45.580 Systems

00:32:46.160 That

00:32:46.380 Use

00:32:46.640 Local

00:32:47.080 Feedstock

00:32:47.680 And

00:32:47.840 Mixed

00:32:48.640 Waste

00:32:49.260 To

00:32:50.680 Rapidly

00:32:51.140 Produce

00:32:51.580 A

00:32:51.740 Wide

00:32:52.120 Range

00:32:52.520 Of

00:32:52.780 On

00:32:53.080 Demand

00:32:53.400 Products

00:32:53.880 Ranging

00:32:54.180 From

00:32:54.520 Potable

00:32:56.180 Potable

00:32:57.420 Water

00:32:58.460 Potable

00:32:59.140 Potable

00:32:59.640 Water

00:32:59.960 And

00:33:00.920 Edible

00:33:01.400 Macronutrients

00:33:02.860 To

00:33:03.780 Lubricants

00:33:04.480 Adhesives

00:33:05.160 And

00:33:05.440 Tactical

00:33:05.960 Fibers

00:33:06.440 To

00:33:06.600 Support

00:33:07.020 Expeditionary

00:33:09.160 Units

00:33:09.560 And

00:33:09.800 Humanitarian

00:33:10.340 Relief

00:33:10.820 Efforts

00:33:11.260 Announced

00:33:12.440 November

00:33:12.720 23rd

00:33:13.400 The

00:33:13.960 Innovative

00:33:14.300 Nutrition

00:33:14.860 Formulations

00:33:15.500 Programs

00:33:16.060 Aims

00:33:16.440 To

00:33:16.600 Turn

00:33:16.840 Edible

00:33:17.260 Biomass

00:33:17.940 Into

00:33:18.140 Palatable

00:33:18.680 Food

00:33:19.040 Rations

00:33:19.440 At

00:33:20.040 Scale

00:33:20.440 Under

00:33:20.700 Austere

00:33:21.140 Conditions

00:33:21.640 For

00:33:21.840 Disaster

00:33:22.320 Relief

00:33:22.720 As

00:33:23.240 Backup

00:33:23.680 Food

00:33:23.900 Supply

00:33:24.200 For

00:33:24.400 Submarines

00:33:24.920 And

00:33:25.280 Aircraft

00:33:25.740 Carriers

00:33:26.160 And

00:33:26.420 To

00:33:26.540 Supplement

00:33:27.120 Vulnerable

00:33:28.260 Supply

00:33:28.760 Lines

00:33:29.180 Besides

00:33:29.880 Delivering

00:33:30.440 Sufficient

00:33:30.880 Calories

00:33:31.300 Vitamins

00:33:31.720 And

00:33:31.820 Nutrition

00:33:32.180 For

00:33:32.460 Those

00:33:32.680 In

00:33:32.940 In

00:33:33.040 Accessible

00:33:33.680 Locations

00:33:34.160 The

00:33:34.800 Program

00:33:35.100 Aims

00:33:35.360 To

00:33:35.500 Reduce

00:33:35.860 The

00:33:36.040 Military

00:33:36.320 Infrastructure's

00:33:37.160 Carbon

00:33:37.640 Footprint

00:33:38.260 There

00:33:38.520 We

00:33:38.620 Go

00:33:38.820 Sure

00:33:39.320 Sure

00:33:39.780 Maybe

00:33:40.540 Maybe

00:33:41.100 Dropping

00:33:41.560 Less

00:33:42.040 Bombs

00:33:42.640 Maybe

00:33:42.960 I

00:33:44.120 Don't

00:33:44.260 Know

00:33:44.380 I

00:33:45.400 Could

00:33:45.580 Be

00:33:45.680 Wrong

00:33:45.900 On

00:33:46.000 That

00:33:46.100 But

00:33:46.220 Maybe

00:33:46.360 That

00:33:46.720 Would

00:33:46.920 Be

00:33:47.060 A

00:33:47.180 Good

00:33:47.320 Thing

00:33:47.500 I

00:33:47.620 Think

00:33:47.820 The

00:33:49.180 U.S.

00:33:49.600 Military

00:33:49.900 And

00:33:50.260 With

00:33:51.080 Up

00:33:51.660 And

00:33:51.780 Coming

00:33:51.940 Chinese

00:33:52.380 Military

00:33:52.820 And

00:33:52.980 Stuff

00:33:53.120 Like

00:33:53.240 That

00:33:53.380 Too

00:33:53.620 Even

00:33:54.720 Like

00:33:54.840 India

00:33:55.140 And

00:33:55.280 Stuff

00:33:55.460 They 0.70

00:33:55.620 Crazy

00:33:56.820 With

00:33:57.460 That

00:33:57.560 Now

00:33:57.700 But

00:33:57.880 Pakistan

00:33:58.960 But

00:33:59.360 I

00:34:03.680 I

00:34:04.340 Don't

00:34:04.640 Think

00:34:05.140 It's

00:34:06.120 An

00:34:06.220 Issue

00:34:06.560 Essentially

00:34:07.020 Right

00:34:07.280 But

00:34:07.460 Pollute

00:34:08.100 Pollutant

00:34:08.620 Wise

00:34:08.840 It's

00:34:09.040 An

00:34:09.140 Issue

00:34:09.420 But

00:34:10.260 They're

00:34:10.400 Like

00:34:10.560 The

00:34:10.700 Biggest

00:34:10.980 Polluter

00:34:11.760 And

00:34:12.020 The

00:34:12.120 Biggest

00:34:12.340 Carbon

00:34:12.840 Emissions

00:34:14.240 Group

00:34:15.480 Organization

00:34:16.180 Whatever

00:34:16.460 You

00:34:16.600 Want

00:34:16.700 To

00:34:16.740 Call

00:34:16.880 It

00:34:17.000 In

00:34:17.160 The

00:34:17.460 World

00:34:17.740 Right

00:34:17.940 Compared

00:34:18.180 To

00:34:18.340 Companies

00:34:18.860 And

00:34:19.100 Cow

00:34:19.620 Farts

00:34:19.900 Essentially

00:34:20.280 So

00:34:22.080 They

00:34:22.260 Could

00:34:22.380 Do

00:34:23.000 Something

00:34:23.240 About

00:34:23.900 That

00:34:24.060 If

00:34:24.140 They

00:34:24.240 Wanted

00:34:24.560 To

00:34:24.660 To

00:34:25.260 Do

00:34:25.380 Something

00:34:25.620 About

00:34:25.820 To

00:34:25.840 To

00:34:26.140 To

00:34:26.740 To

00:34:27.040 To

00:34:27.060 To

00:34:27.900 To

00:34:28.980 To

00:34:29.980 The

00:34:33.680 Cost

00:34:33.840 In

00:34:33.980 The

00:34:34.060 Media

00:34:34.260 Not 0.93

00:34:35.160 Bullshit 0.98

00:34:36.480 That 1.00

00:34:36.860 Cow

00:34:37.180 Farts

00:34:37.500 Is 0.88

00:34:37.640 The

00:34:37.780 Big

00:34:37.920 Problem

00:34:38.260 And

00:34:38.440 You

00:34:38.580 Eating

00:34:38.800 A

00:34:39.360 Steak

00:34:40.180 Now

00:34:40.380 And

00:34:40.480 Then

00:34:40.600 That

00:34:40.760 That's

00:34:41.040 Where

00:34:41.220 The

00:34:41.920 Problem

00:34:42.260 Lies 1.00

00:34:42.840 Right

00:34:43.120 Flying

00:34:44.560 Dutchman

00:34:44.860 Says 0.93

00:34:45.120 Inflation

00:34:45.680 At

00:34:46.040 40

00:34:46.340 Year

00:34:46.520 High

00:34:46.780 That's

00:34:47.020 Right

00:34:47.180 I

00:34:47.300 Saw

00:34:47.480 That

00:34:47.740 It's

00:34:48.720 It's

00:34:49.040 It's

00:34:49.240 Coming

00:34:49.480 It's

00:34:49.740 It's

00:34:49.940 Beginning

00:34:50.220 We

00:34:51.480 Warned

00:34:51.780 You

00:34:51.860 About

00:34:52.060 That

00:34:52.260 And

00:34:52.360 Of

00:34:52.500 Course

00:34:52.660 All

00:34:52.980 Of

00:34:53.120 This

00:34:53.260 Has

00:34:53.420 To

00:34:53.540 Do

00:34:53.680 With

00:34:53.880 The

00:34:54.060 Once

00:34:54.380 The

00:34:54.660 Collapse

00:34:55.260 Of

00:34:55.540 The

00:34:55.800 Currency

00:34:57.140 Happens

00:34:57.620 Then

00:34:57.820 They

00:34:57.960 Will

00:34:58.100 Offer

00:34:58.480 Up

00:34:58.700 A

00:34:59.040 Some

00:35:00.320 Kind

00:35:00.640 Of

00:35:00.920 Probably

00:35:01.420 Global

00:35:02.040 Central

00:35:02.840 Bank

00:35:03.200 Digital

00:35:03.580 Currency

00:35:04.080 CDBC

00:35:05.380 CDBC

00:35:06.840 What

00:35:07.180 Do

00:35:07.260 They

00:35:07.340 Call

00:35:07.480 Them

00:35:07.560 Again

00:35:07.680 And

00:35:09.020 Of

00:35:09.220 Course

00:35:09.400 The

00:35:10.100 Thing

00:35:10.460 There

00:35:10.700 It

00:35:11.120 Would

00:35:11.300 Be

00:35:11.460 Tied

00:35:11.780 To

00:35:12.220 An

00:35:14.060 Ability

00:35:14.460 From

00:35:15.040 Their

00:35:15.500 Point

00:35:15.660 Of

00:35:15.720 To

00:35:15.920 Monitor

00:35:16.440 Each

00:35:16.860 Transaction

00:35:17.620 As

00:35:18.040 Well

00:35:18.280 And

00:35:18.980 Not

00:35:19.140 Only

00:35:19.280 That

00:35:19.520 Also

00:35:19.940 Approve

00:35:20.680 There

00:35:20.920 For

00:35:21.120 Each

00:35:21.420 Transaction

00:35:22.060 So

00:35:22.280 If

00:35:22.380 There's

00:35:22.580 Something

00:35:22.860 For

00:35:23.100 Whatever

00:35:23.420 Reason

00:35:23.760 Again

00:35:24.080 Think

00:35:24.500 Beef

00:35:25.660 For

00:35:25.860 Certain

00:35:26.140 Meats

00:35:26.520 Or

00:35:26.660 Stuff

00:35:26.920 I

00:35:27.080 Mean

00:35:27.200 This

00:35:27.380 Would

00:35:27.540 Be

00:35:27.800 Social

00:35:28.960 Credit

00:35:29.300 Score

00:35:29.640 Tied

00:35:30.060 Right

00:35:30.320 And

00:35:31.380 Then

00:35:31.480 Eventually

00:35:31.760 You

00:35:31.960 Go

00:35:32.120 And

00:35:32.260 Buy

00:35:32.440 Your

00:35:32.640 You

00:35:33.480 Know

00:35:33.580 You're

00:35:33.840 Over

00:35:34.120 Your

00:35:34.420 Quota

00:35:35.660 Whatever

00:35:36.060 When

00:35:36.380 It

00:35:36.460 Comes

00:35:36.580 To

00:35:36.680 Your

00:35:36.860 Carbon

00:35:37.200 Footprint

00:35:37.740 You

00:35:38.640 Can

00:35:38.820 Buy

00:35:39.000 Certain

00:35:39.240 Things

00:35:39.600 Because

00:35:40.020 It

00:35:40.140 Will

00:35:40.220 Be

00:35:40.320 Like

00:35:40.520 Again

00:35:41.220 That's

00:35:41.460 Why

00:35:41.580 Like

00:35:41.720 We

00:35:41.820 Have

00:35:41.960 To

00:35:42.060 Get

00:35:42.240 Off

00:35:42.580 Of

00:35:42.720 Their

00:35:42.860 Systems

00:35:43.340 And

00:35:43.620 Luckily

00:35:43.920 In

00:35:44.080 A

00:35:44.160 Way

00:35:44.320 They

00:35:45.300 Are

00:35:45.420 Forcing

00:35:45.960 Certain

00:35:46.300 Segments

00:35:46.720 Out

00:35:46.920 They're

00:35:47.120 Forcing

00:35:47.560 People

00:35:47.820 To

00:35:47.960 Create

00:35:48.140 A

00:35:48.280 Parallel

00:35:48.560 Society

00:35:48.960 And

00:35:49.140 I

00:35:49.260 Think

00:35:49.380 That's

00:35:49.600 The

00:35:49.740 Only

00:35:49.880 Thing

00:35:50.080 That's

00:35:50.260 Going

00:35:50.360 To

00:35:50.440 Survive

00:35:50.900 And

00:35:51.460 Outlast

00:35:52.360 This

00:35:53.040 Insane 1.00

00:35:54.120 Clown

00:35:55.300 World 1.00

00:35:55.720 Bullshit 0.99

00:35:56.840 That 1.00

00:35:57.060 We're

00:35:57.300 Existing

00:35:58.120 In

00:35:58.220 Right

00:35:58.360 Now

00:35:58.580 All

00:36:00.180 Right

00:36:00.360 I

00:36:02.260 Wanted

00:36:02.480 To

00:36:02.580 Mention

00:36:02.780 This

00:36:03.040 Too

00:36:03.240 Because

00:36:03.500 It

00:36:03.660 Kind

00:36:04.160 Of

00:36:04.240 Has

00:36:04.420 To

00:36:04.580 Do

00:36:04.880 With

00:36:06.500 What

00:36:07.340 We're

00:36:07.520 Talking

00:36:07.860 About

00:36:08.200 Engineering

00:36:08.780 And

00:36:09.020 So

00:36:09.180 Forth

00:36:09.460 Just

00:36:10.500 A

00:36:10.660 Quick

00:36:10.940 Little

00:36:11.200 Mention

00:36:11.640 Pull

00:36:12.840 This

00:36:13.000 Up

00:36:13.160 But

00:36:13.360 This

00:36:13.560 Is 0.88

00:36:13.680 The

00:36:13.940 World

00:36:14.520 Health

00:36:14.800 Organization

00:36:15.400 Talking

00:36:15.880 About

00:36:16.380 Oh

00:36:17.960 I

00:36:18.100 Can't

00:36:18.280 Find

00:36:18.460 That

00:36:18.620 One

00:36:18.800 Second

00:36:19.040 Guys

00:36:19.300 It's

00:36:20.300 Talking

00:36:20.480 About

00:36:20.660 Human

00:36:20.980 Genome

00:36:21.360 Editing

00:36:21.700 It

00:36:21.820 Has

00:36:21.960 To

00:36:22.040 Do

00:36:22.120 With

00:36:22.640 Things

00:36:23.460 Such

00:36:23.660 As

00:36:23.820 Synthetic

00:36:24.720 Creation

00:36:27.400 Synthetic

00:36:28.000 Organisms

00:36:29.220 And

00:36:29.520 Stuff

00:36:29.680 Like

00:36:29.800 That

00:36:29.940 Too

00:36:30.120 But

00:36:30.360 Of

00:36:30.480 Course

00:36:30.600 It's

00:36:30.760 Not

00:36:30.860 Going

00:36:30.940 To

00:36:31.040 Stop

00:36:31.540 At

00:36:32.700 Food

00:36:34.420 It's

00:36:34.660 Going

00:36:34.780 To

00:36:34.980 Extend

00:36:35.520 Into

00:36:36.000 Things

00:36:36.700 Like

00:36:36.880 You

00:36:37.240 As

00:36:38.240 Well

00:36:38.540 And

00:36:39.180 This

00:36:39.380 Is 0.88

00:36:39.500 Of

00:36:39.660 Course

00:36:39.800 Where

00:36:40.060 The

00:36:40.340 MRNA

00:36:41.840 Gene

00:36:42.380 Therapy

00:36:42.880 Technology

00:36:43.800 That

00:36:44.040 Has

00:36:44.200 Been

00:36:44.380 Introduced

00:36:44.960 Here

00:36:45.160 Recently

00:36:46.580 Is 0.88

00:36:47.120 That's

00:36:47.560 Kind

00:36:47.720 Of

00:36:47.820 There

00:36:47.960 To

00:36:48.140 Just

00:36:48.340 You

00:36:49.080 Know

00:36:49.160 To

00:36:49.300 Use

00:36:49.440 Their

00:36:49.620 Term

00:36:49.820 Break

00:36:50.140 The

00:36:50.320 Glass

00:36:50.640 Ceiling

00:36:51.000 To

00:36:51.180 Get

00:36:51.380 You

00:36:51.520 To

00:36:51.700 Submit

00:36:52.200 And

00:36:52.480 Kind

00:36:52.640 Of

00:36:52.720 Accept

00:36:53.080 That

00:37:12.880 Okay

00:37:13.120 Let

00:37:13.260 Let

00:37:13.280 Let

00:37:13.300 Let

00:37:13.320 Let

00:37:13.380 Pull

00:37:13.960 This

00:37:14.120 Up

00:37:14.260 Real

00:37:14.400 Quick

00:37:14.560 Here

00:37:14.740 So

00:37:15.720 This

00:37:15.900 World

00:37:16.340 Health

00:37:16.540 Organization

00:37:17.000 Human

00:37:17.320 Genome

00:37:17.660 Editing

00:37:18.120 A

00:37:18.380 Framework

00:37:19.160 For

00:37:20.000 Governance

00:37:20.920 Right

00:37:21.120 They

00:37:21.240 Were

00:37:21.320 Talking

00:37:21.540 About

00:37:21.700 How

00:37:21.800 Do

00:37:21.920 How

00:37:22.140 Do

00:37:22.200 We

00:37:22.320 How

00:37:22.680 Do

00:37:22.760 We

00:37:22.860 Govern

00:37:23.160 This

00:37:23.520 What

00:37:24.160 Can

00:37:24.320 Be

00:37:24.460 Done

00:37:24.840 And

00:37:25.080 They're

00:37:25.200 Looking

00:37:25.420 At

00:37:25.620 This

00:37:25.780 What

00:37:26.000 How

00:37:26.520 Should

00:37:26.800 We

00:37:27.080 Prepare

00:37:28.360 For

00:37:28.660 This

00:37:28.960 What

00:37:29.760 Can

00:37:29.920 We

00:37:30.080 Do

00:37:30.400 Here's

00:37:31.340 The

00:37:31.540 Here's

00:37:32.140 The

00:37:32.340 PDF

00:37:32.760 Here

00:37:32.980 Let

00:37:33.120 Let

00:37:33.140 Let

00:37:33.420 Pull

00:37:33.560 That

00:37:33.720 In

00:37:33.820 Real

00:37:33.960 Quick

00:37:34.120 Here

00:37:34.280 We

00:37:34.340 Go

00:37:34.500 Here's

00:37:35.220 The

00:37:35.320 PDF

00:37:35.620 From

00:37:37.240 The

00:37:37.500 World

00:37:38.780 Health

00:37:38.980 Organization

00:37:39.500 A

00:37:40.360 Framework

00:37:40.960 For

00:37:41.180 Governance

00:37:41.660 Right

00:37:41.840 Human

00:37:42.120 Genome

00:37:42.560 Editing

00:37:42.960 WHO

00:37:43.980 Expert

00:37:44.520 Advisory

00:37:45.060 Committee

00:37:45.400 On

00:37:45.580 Developing

00:37:46.000 Global

00:37:46.360 Standards

00:37:46.820 For

00:37:47.080 Governance

00:37:47.620 And

00:37:47.880 Oversight

00:37:48.500 Of

00:37:48.700 Human

00:37:49.140 Genome

00:37:49.700 Editing

00:37:50.100 And

00:37:50.240 Of

00:37:50.360 Course

00:37:50.480 They

00:37:50.600 Talk

00:37:50.800 About

00:37:50.980 CRISPR

00:37:51.460 And

00:37:51.640 Stuff

00:37:51.860 Like

00:37:52.040 That

00:37:52.320 Let

00:37:54.640 See

00:37:54.740 If

00:37:54.820 I

00:37:54.900 Can

00:37:55.020 Find

00:37:55.400 That

00:37:55.660 Non

00:37:56.200 Human

00:37:56.600 Traits

00:37:57.040 I

00:37:57.160 Think

00:37:57.280 That

00:37:57.380 Was

00:37:57.480 Here

00:37:57.760 We

00:37:58.080 Go

00:37:58.200 Here's

00:37:58.500 The

00:37:58.740 Couple 0.60

00:37:59.580 Screenshot

00:38:00.120 So

00:38:00.260 They

00:38:00.440 You

00:38:01.060 Know

00:38:01.140 It's

00:38:01.680 A

00:38:01.800 Long

00:38:02.280 Document

00:38:02.740 A

00:38:03.120 Lot

00:38:03.220 Of

00:38:03.300 Different

00:38:03.520 Things

00:38:03.820 But

00:38:04.000 This

00:38:04.160 Is 0.88

00:38:04.220 Just

00:38:04.380 To

00:38:04.500 Show

00:38:04.680 You

00:38:04.780 That

00:38:04.900 They

00:38:05.080 That

00:38:05.640 They

00:38:05.760 Talk

00:38:05.980 About

00:38:06.160 These

00:38:06.320 Kinds

00:38:06.500 Of

00:38:06.580 Things

00:38:06.740 And

00:38:06.880 They

00:38:06.980 Know

00:38:07.180 About

00:38:07.480 It

00:38:07.620 Right

00:38:07.820 Current

00:38:09.000 Potential

00:38:09.500 And

00:38:09.720 Speculative

00:38:10.320 Human

00:38:10.680 Genome

00:38:11.040 Editing

00:38:11.440 Research

00:38:11.920 Right

00:38:12.140 And

00:38:12.220 Go

00:38:12.360 Through

00:38:12.520 A

00:38:12.640 Couple 0.60

00:38:12.760 Of

00:38:12.860 Things

00:38:13.020 Which

00:38:13.180 You

00:38:13.260 Can

00:38:13.380 Do

00:38:13.660 To

00:38:14.260 Treat

00:38:14.520 Genetic

00:38:14.960 Disorders

00:38:15.480 We'll

00:38:15.720 Talk

00:38:15.860 More

00:38:16.040 About

00:38:16.220 That

00:38:16.420 In

00:38:16.520 Even

00:38:17.120 Now

00:38:17.380 The

00:38:29.580 We'll

00:38:29.760 Have

00:38:29.860 Software

00:38:30.280 Update

00:38:30.660 For

00:38:30.860 You

00:38:31.040 And

00:38:31.160 We'll

00:38:31.320 Fix

00:38:31.560 That

00:38:31.740 For

00:38:31.880 You

00:38:32.080 And

00:38:32.560 So

00:38:32.640 Think

00:38:32.820 About

00:38:32.980 Where

00:38:33.160 This

00:38:33.360 Could

00:38:33.540 Go

00:38:33.740 Right

00:38:34.000 Check

00:38:35.860 This

00:38:36.020 Out

00:38:36.140 Here

00:38:36.220 To

00:38:36.400 Enhance

00:38:36.940 Human

00:38:37.280 Traits

00:38:37.680 Let's

00:38:37.840 Begin

00:38:38.020 With

00:38:38.140 This

00:38:38.280 One

00:38:38.420 Here

00:38:38.580 To

00:38:39.620 Alter

00:38:40.060 Alleles

00:38:42.760 To

00:38:43.080 Other

00:38:43.460 Variants

00:38:43.940 Which

00:38:44.160 May

00:38:44.420 Be

00:38:44.620 Common

00:38:44.960 Or

00:38:45.180 Rare

00:38:45.400 And

00:38:45.640 Give

00:38:45.880 Extreme

00:38:46.360 Characteristics

00:38:47.120 That

00:38:59.580 To

00:38:59.940 Alter

00:39:00.160 Abilities

00:39:00.900 Muscle

00:39:01.880 Mass

00:39:02.220 Or

00:39:02.400 Perfect

00:39:02.880 Pitch

00:39:03.300 To

00:39:03.500 Increase

00:39:03.900 Muscle

00:39:04.260 Type

00:39:04.680 Height

00:39:05.340 Longevity

00:39:06.220 Or

00:39:07.140 Intelligence

00:39:07.680 Right

00:39:08.000 We've

00:39:08.180 Talked

00:39:08.340 About

00:39:08.480 This

00:39:08.680 You

00:39:08.880 Know

00:39:08.980 The

00:39:09.240 Super

00:39:09.720 Humans

00:39:10.180 That

00:39:10.440 I

00:39:10.760 Mean

00:39:11.420 This

00:39:11.640 Is 0.88

00:39:11.760 For

00:39:11.920 Them

00:39:12.100 This

00:39:12.260 Is 0.88

00:39:12.340 For

00:39:12.440 The

00:39:12.540 Elite

00:39:12.760 That

00:39:12.940 Is 0.88

00:39:12.980 Not

00:39:13.080 To

00:39:13.160 Be

00:39:13.260 Widely

00:39:13.700 Available

00:39:14.060 For

00:39:14.340 You

00:39:14.620 Of

00:39:15.140 Course

00:39:15.300 Not

00:39:15.480 No

00:39:16.340 You

00:39:16.480 Need

00:39:16.620 To

00:39:16.700 Be

00:39:16.820 Part

00:39:17.040 Of

00:39:17.120 The

00:39:17.220 Pedo

00:39:17.460 Club

00:39:17.700 If

00:39:17.860 You

00:39:17.940 Want

00:39:18.080 To

00:39:18.160 Join

00:39:18.380 The

00:39:18.660 Live

00:39:21.440 Forever

00:39:21.900 Super

00:39:22.520 Super

00:39:23.140 Heroes

00:39:23.680 Humans

00:39:24.300 Also

00:39:26.040 To

00:39:26.240 Provide

00:39:26.520 Resistance

00:39:27.000 To

00:39:27.260 Pollutants

00:39:27.840 And

00:39:28.120 Other

00:39:28.420 Environmental

00:39:29.040 Agents

00:39:29.580 Such

00:39:29.820 As

00:39:30.000 Radiation

00:39:30.820 Wouldn't

00:39:31.920 That

00:39:32.020 Be

00:39:32.100 Interesting

00:39:32.340 If

00:39:32.520 They

00:39:32.620 Could

00:39:32.760 Already

00:39:33.060 Alter

00:39:33.480 Themselves

00:39:34.100 To

00:39:34.440 Such

00:39:34.780 A

00:39:34.920 Capacity

00:39:35.460 That

00:39:36.860 They

00:39:36.980 Can

00:39:37.160 Literally

00:39:37.660 Release

00:39:38.300 A

00:39:38.580 Toxin

00:39:39.320 Or

00:39:39.680 Yeah

00:39:39.920 Let's

00:39:40.160 Say

00:39:40.260 Some

00:39:40.600 Kind

00:39:40.760 Of

00:39:40.860 Radiation

00:39:41.440 You

00:39:41.660 Know

00:39:41.760 What

00:39:41.920 That

00:39:42.400 Means

00:39:42.660 That

00:39:44.160 Would 0.97

00:39:44.480 Kill 1.00

00:39:45.580 Everyone 1.00

00:39:46.020 Else

00:39:46.360 But

00:39:47.140 To

00:39:47.280 Ensure

00:39:47.540 That

00:39:47.740 Those

00:39:48.080 Who

00:39:48.220 Have

00:39:48.340 Access

00:39:48.620 To

00:39:48.820 This

00:39:48.980 Technology

00:39:49.400 Would

00:39:49.700 Be

00:39:49.980 Safe

00:39:50.900 Right

00:39:51.280 Some

00:39:51.460 People

00:39:51.600 Have

00:39:51.720 Already

00:39:51.920 Speculated

00:39:52.460 That

00:39:52.640 That's

00:39:52.840 What's

00:39:53.020 Happening

00:39:53.240 With

00:39:53.380 The

00:39:53.480 mRNA

00:39:53.740 Vaccine

00:39:54.760 For

00:39:54.900 Example

00:39:55.240 That

00:39:55.440 It

00:39:56.500 Is 0.88

00:39:56.680 And

00:39:56.800 We'll

00:39:56.920 Get

00:39:57.020 Into

00:39:57.160 Them

00:39:57.300 We

00:39:57.400 Talk

00:39:57.580 About

00:39:57.720 The

00:39:57.840 Lots

00:39:58.080 That

00:39:58.260 It

00:39:58.360 Seems

00:39:58.520 To

00:39:58.640 Be

00:39:58.780 Specifically

00:39:59.360 Targeted

00:40:00.000 There

00:40:00.140 Certain

00:40:00.460 Lots

00:40:00.900 Where

00:40:01.480 They

00:40:01.560 Have

00:40:01.680 Given

00:40:01.960 Out

00:40:03.640 Either

00:40:04.080 An

00:40:04.360 Additional

00:40:04.900 Ingredient

00:40:07.080 Or

00:40:07.260 Something

00:40:07.600 Another

00:40:08.140 Active

00:40:08.620 Ingredient

00:40:09.060 In

00:40:09.480 Some

00:40:10.060 Lots

00:40:10.460 Of

00:40:10.680 This

00:40:10.860 mRNA

00:40:11.200 Gene

00:40:11.680 Therapy

00:40:12.200 Or

00:40:13.940 It's

00:40:14.320 That

00:40:14.560 Those

00:40:15.120 Things

00:40:15.580 That

00:40:16.020 Where

00:40:16.220 We

00:40:16.340 See

00:40:16.520 The

00:40:16.680 Effects

00:40:17.020 Or

00:40:17.240 Death

00:40:17.480 Or

00:40:17.740 Adverse

00:40:18.320 Effects

00:40:18.640 That's

00:40:19.560 So-called

00:40:19.960 The

00:40:20.120 Real

00:40:20.320 Thing

00:40:20.560 While

00:40:20.760 The

00:40:20.960 Other

00:40:21.280 Batches

00:40:21.840 Are

00:40:22.020 Basically

00:40:22.460 Saline

00:40:23.020 Solution

00:40:23.620 And

00:40:23.820 Again

00:40:23.940 We'll

00:40:24.360 Get

00:40:24.500 Into

00:40:24.640 Details

00:40:24.980 There

00:40:25.220 In

00:40:25.720 A bit

00:40:26.520 But

00:40:26.720 That's

00:40:27.260 Very

00:40:27.420 I mean

00:40:27.660 That's

00:40:27.960 It shows

00:40:28.800 Criminal

00:40:29.120 Intent

00:40:29.520 There's

00:40:29.980 No way

00:40:30.420 Mathematically

00:40:31.080 That you

00:40:31.440 Can

00:40:31.560 Do

00:40:31.720 That

00:40:31.980 Right

00:40:32.860 It

00:40:33.060 Shows

00:40:33.400 That

00:40:33.600 Someone

00:40:34.020 Knows

00:40:34.440 What

00:40:34.680 They're

00:40:34.840 Doing

00:40:35.120 So

00:40:35.360 We'll

00:40:35.480 Talk

00:40:35.680 About

00:40:35.840 That

00:40:35.960 Very

00:40:36.160 Important

00:40:36.540 Anyway

00:40:37.540 To

00:40:38.100 Continue

00:40:38.320 Here

00:40:38.520 For

00:40:38.680 Second

00:40:39.040 Here

00:40:39.260 To

00:40:39.560 Add

00:40:39.940 Non-Human

00:40:40.980 Traits

00:40:41.420 To

00:40:42.680 Introduce

00:40:43.140 Single

00:40:43.560 Or

00:40:43.780 Multiple

00:40:44.120 Genes

00:40:44.580 Not

00:40:45.380 Present

00:40:45.840 In

00:40:46.120 Any

00:40:46.400 Human

00:40:46.760 Genome

00:40:47.260 E.G.

00:40:48.300 Non-Human

00:40:48.960 Or

00:40:49.200 Synthetic

00:40:50.000 Genes

00:40:50.420 Remember

00:40:50.620 This

00:40:50.820 Is 0.88

00:40:50.960 Like

00:40:51.200 What's

00:40:52.580 His

00:40:52.680 Name

00:40:52.840 Again

00:40:53.120 One

00:40:54.440 Of

00:40:54.520 The

00:40:54.620 Head

00:40:54.800 Guys

00:40:55.200 They

00:40:55.380 Kind

00:40:56.460 Of

00:40:56.600 They

00:40:56.920 They

00:40:56.980 Gave

00:40:57.820 Him

00:40:57.960 This

00:40:58.140 Like

00:40:58.360 Prometheus

00:40:59.140 Type

00:40:59.620 Craig

00:41:00.880 Venter

00:41:01.280 That's

00:41:01.560 Right

00:41:01.700 Craig

00:41:02.080 Venter

00:41:02.640 He's

00:41:04.680 One

00:41:04.840 Of

00:41:04.900 The

00:41:05.000 First

00:41:05.220 Ones

00:41:05.480 Who

00:41:05.620 Developed

00:41:06.320 Synthetic

00:41:07.000 Organisms

00:41:07.600 And

00:41:07.780 Stuff

00:41:07.940 Like

00:41:08.080 That

00:41:08.260 Right

00:41:09.400 And

00:41:09.660 They

00:41:09.920 Kind

00:41:10.040 Of

00:41:10.120 Gave

00:41:10.300 Him

00:41:10.440 Like

00:41:10.660 This

00:41:10.900 He's

00:41:11.720 Like

00:41:11.860 The

00:41:11.980 New

00:41:12.180 Prometheus

00:41:12.800 This

00:41:13.020 Mythological

00:41:13.780 Wrap

00:41:14.380 Around

00:41:14.680 Him

00:41:14.840 When

00:41:14.980 They

00:41:15.100 When

00:41:15.340 He

00:41:15.660 Was

00:41:15.840 Part

00:41:16.120 Of

00:41:16.300 You

00:41:17.160 Know

00:41:17.360 Sequencing

00:41:18.560 The

00:41:18.720 Whole

00:41:18.880 Human

00:41:19.880 Genome

00:41:20.360 You

00:41:20.900 Know

00:41:21.000 Back

00:41:21.220 In

00:41:21.400 Like

00:41:21.660 The

00:41:22.100 Early

00:41:22.480 2000s

00:41:23.120 And

00:41:23.200 Stuff

00:41:23.340 Like

00:41:23.440 That

00:41:23.620 And

00:41:24.120 Remember

00:41:24.340 To

00:41:24.600 This

00:41:25.180 Day

00:41:25.420 It's

00:41:25.940 The

00:41:26.100 Department

00:41:26.560 Of

00:41:26.840 Energy

00:41:27.460 That

00:41:29.480 Oversaw

00:41:30.380 The

00:41:30.640 Human

00:41:31.040 Genome

00:41:31.300 Project

00:41:31.620 I

00:41:31.800 Think

00:41:31.920 It

00:41:32.040 Search

00:41:32.480 The

00:41:33.120 Department

00:41:37.780 Anyway

00:41:38.020 They

00:41:39.420 Say

00:41:39.600 Here

00:41:39.740 To

00:41:39.880 Amuse

00:41:40.400 Slash

00:41:40.820 Entertain

00:41:41.460 E.G.

00:41:42.400 Green

00:41:42.920 Fluorescent

00:41:43.760 Protein

00:41:44.280 That's

00:41:44.440 Right

00:41:44.560 You

00:41:44.660 Can

00:41:44.760 Become

00:41:45.100 You

00:41:45.640 Can

00:41:45.780 Glow

00:41:46.960 In

00:41:47.140 The

00:41:47.280 Dark 0.57

00:41:47.680 To

00:41:48.820 Add

00:41:49.640 Human

00:41:49.900 Traits

00:41:50.280 Right

00:41:50.560 Or

00:41:50.780 Non

00:41:51.200 Human

00:41:51.720 Traits

00:41:52.060 To

00:41:53.100 Improve

00:41:53.520 Sensory

00:41:54.240 Systems

00:41:54.780 I.G.

00:41:55.300 To

00:41:55.420 Ultraviolet

00:41:56.240 Or

00:41:56.400 Infrared

00:41:56.980 Light

00:41:57.240 Or

00:41:57.500 Electromagnetic

00:41:58.960 Fields

00:41:59.500 To

00:42:00.160 Obtain

00:42:00.520 Nutritional

00:42:01.240 Benefit

00:42:01.660 From

00:42:01.880 Parts

00:42:02.300 Of

00:42:02.480 Plants

00:42:03.500 Plastics

00:42:04.860 And

00:42:07.780 Digest

00:42:09.200 To

00:42:10.240 Increase

00:42:10.620 Tolerance 0.65

00:42:11.120 To

00:42:11.280 Drought

00:42:11.680 Heat

00:42:11.920 Or

00:42:12.100 Cold

00:42:12.480 To

00:42:12.700 Provide

00:42:13.000 Resistance

00:42:13.440 To

00:42:13.740 Pollutants

00:42:14.240 Or

00:42:14.520 Other

00:42:14.900 Environmental

00:42:15.620 Agents

00:42:16.340 Such

00:42:17.180 As

00:42:17.580 Radiation

00:42:18.700 And

00:42:18.860 Of course

00:42:19.100 They

00:42:19.260 Covered

00:42:19.700 That

00:42:19.820 In

00:42:19.940 The

00:42:20.040 Previous

00:42:20.320 One

00:42:20.700 As

00:42:20.840 Well

00:42:21.020 And

00:42:21.500 We've

00:42:21.780 Played

00:42:22.140 This

00:42:22.280 One

00:42:22.460 In

00:42:22.560 The

00:42:22.680 Past

00:42:22.980 But

00:42:23.160 This

00:42:23.300 Is 0.88

00:42:23.400 Kind

00:42:23.520 Of

00:42:23.580 A

00:42:23.660 Reminder

00:42:24.060 Here

00:42:24.360 People

00:42:25.460 Like

00:42:25.700 Musk 0.77

00:42:26.200 They

00:42:27.840 Casually

00:42:28.400 Speak

00:42:28.740 About

00:42:28.960 This

00:42:29.160 Occasionally

00:42:29.640 That

00:42:29.820 It

00:42:29.920 Comes

00:42:30.140 Up

00:42:30.360 And

00:42:30.460 Again

00:42:30.600 People

00:42:30.800 Think

00:42:31.040 Musk 0.77

00:42:31.360 Is 0.88

00:42:31.500 Some

00:42:31.620 Kind

00:42:31.780 Of

00:42:32.000 Dissenter

00:42:34.700 Or

00:42:35.020 Like

00:42:35.220 A

00:42:35.580 Great

00:42:36.880 Resister

00:42:37.680 To

00:42:37.960 The

00:42:38.160 Global

00:42:38.700 Plan

00:42:39.280 Which

00:42:39.600 Is 0.99

00:42:40.660 Ridiculous 0.99

00:42:41.640 But 0.99

00:42:42.480 Listen

00:42:42.660 To

00:42:42.800 What

00:42:42.900 He

00:42:43.000 Said

00:42:43.180 A

00:42:43.300 While

00:42:43.420 Back

00:42:43.620 Here

00:42:43.760 Regarding

00:42:44.080 Rollout

00:42:45.420 Of

00:42:45.660 MRNA

00:42:46.840 Listen

00:42:48.160 To

00:42:48.300 This

00:42:48.420 The

00:42:49.220 Medical

00:42:49.480 Front

00:42:49.820 Particularly

00:42:51.400 Around

00:42:51.840 Synthetic

00:42:52.520 MRNA

00:42:53.560 You

00:42:54.920 Can

00:42:55.040 Basically

00:42:55.420 Do

00:42:55.680 Anything

00:42:56.060 With

00:42:56.940 Synthetic

00:42:58.720 RNA

00:42:59.640 DNA

00:43:00.260 It's

00:43:03.300 Like

00:43:03.700 A

00:43:03.820 Computer

00:43:04.060 Program

00:43:04.420 So

00:43:04.880 I

00:43:06.460 Mean

00:43:06.520 I

00:43:06.620 Think

00:43:06.780 With

00:43:06.900 Enough

00:43:07.100 With

00:43:07.940 Effort

00:43:09.220 That's

00:43:09.560 Not

00:43:09.700 Too

00:43:09.860 Crazy 0.98

00:43:10.200 You

00:43:10.380 Could

00:43:10.500 Probably

00:43:10.940 Stop

00:43:11.540 Aging

00:43:12.040 Reverse

00:43:12.520 It

00:43:12.760 If

00:43:12.940 You

00:43:13.040 Can

00:43:15.100 You

00:43:15.660 Can

00:43:16.680 Turn

00:43:17.440 Someone

00:43:17.680 Into

00:43:17.840 A

00:43:17.940 Butterfly

00:43:18.620 If

00:43:18.780 You

00:43:18.860 Want

00:43:19.020 With

00:43:19.200 The

00:43:19.300 Right

00:43:19.440 DNA

00:43:19.660 Sequence

00:43:20.140 So

00:43:21.300 There

00:43:23.640 You

00:43:23.700 Go

00:43:23.880 Do

00:43:25.160 You

00:43:25.440 Think

00:43:25.980 They'll

00:43:26.160 Do

00:43:26.280 That

00:43:26.560 Turn

00:43:27.060 You

00:43:27.200 Into

00:43:27.400 A

00:43:27.660 Butterfly

00:43:28.180 Of

00:43:29.000 Course

00:43:29.160 This

00:43:29.340 Point

00:43:29.560 Is 0.88

00:43:29.820 Here

00:43:30.220 That

00:43:30.700 If

00:43:30.800 You

00:43:30.880 Can

00:43:31.000 Harness

00:43:31.240 This

00:43:31.460 Technology

00:43:31.880 In

00:43:36.780 The

00:43:36.920 Right

00:43:37.160 Way

00:43:37.540 And

00:43:37.940 Again

00:43:38.120 This

00:43:38.340 Is 0.88

00:43:38.440 For

00:43:38.580 The

00:43:38.700 Elites

00:43:39.040 This

00:43:39.260 Is 0.88

00:43:39.380 Not

00:43:39.520 For

00:43:39.700 You

00:43:39.940 They'll

00:43:40.600 Be

00:43:40.700 Able

00:43:40.820 To

00:43:40.940 Turn

00:43:41.120 Themselves

00:43:41.640 Into

00:43:42.080 X

00:43:42.820 Men

00:43:42.980 Basically

00:43:43.340 And

00:43:43.540 That's

00:43:43.960 What

00:43:44.160 This

00:43:44.920 Is 0.88

00:43:45.060 About

00:43:45.300 Ultimately

00:43:45.740 Right

00:43:46.060 So

00:43:46.840 Interesting

00:43:47.180 Anyway

00:43:47.500 From

00:43:48.000 The

00:43:48.160 World

00:43:48.400 Health

00:43:49.540 Organization

00:43:50.280 Should

00:43:51.620 Say

00:43:52.200 Regarding

00:43:52.640 Editing

00:43:53.840 CRISPR

00:43:55.000 Technology

00:43:55.580 And

00:43:55.720 Stuff

00:43:55.920 And

00:43:56.080 You

00:43:56.360 Know

00:43:56.540 All

00:43:56.760 Of

00:43:56.880 This

00:43:57.060 Is 0.88

00:43:57.280 You

00:43:57.840 Know

00:43:57.980 That

00:43:58.160 This

00:43:58.340 Is 0.88

00:43:58.460 Coming

00:43:58.680 Right

00:43:58.880 And

00:43:59.680 In

00:43:59.800 Fact

00:44:00.080 Here's

00:44:00.580 The

00:44:00.780 Let

00:44:01.060 Let

00:44:01.080 Me

00:44:01.120 Go

00:44:01.220 Over

00:44:01.320 To

00:44:01.380 The

00:44:01.460 Next

00:44:01.640 Story

00:44:01.860 Here

00:44:02.080 This

00:44:04.420 Is 0.88

00:44:04.620 Regarding

00:44:05.160 Pfizer's

00:44:07.680 CEO

00:44:09.380 How

00:44:09.620 They

00:44:09.720 Explain

00:44:10.060 That

00:44:10.220 Their

00:44:10.360 New

00:44:10.600 Partnership

00:44:11.200 With

00:44:11.580 Gene

00:44:12.040 Editing

00:44:12.480 Companies

00:44:13.040 Will

00:44:14.060 Correct

00:44:15.080 Genetic

00:44:15.720 Mistakes

00:44:16.440 In

00:44:17.640 Your

00:44:17.840 DNA

00:44:18.140 And

00:44:18.360 We've

00:44:18.680 Many

00:44:19.180 Times

00:44:19.540 In

00:44:19.660 The

00:44:19.760 Past

00:44:20.020 We've

00:44:20.320 Talked

00:44:20.840 About

00:44:20.980 This

00:44:21.160 When

00:44:21.360 Public

00:44:22.020 Figures

00:44:22.600 And

00:44:22.820 People

00:44:23.100 High

00:44:24.000 Oppositions

00:44:24.600 Make

00:44:25.320 These

00:44:25.560 Types

00:44:25.840 Of

00:44:26.060 Comments

00:44:26.660 Right

00:44:26.900 So

00:44:28.140 Listen

00:44:28.500 To

00:44:28.920 This

00:44:30.000 Right

00:44:30.340 Here

00:44:30.520 Here's

00:44:30.820 A good

00:44:31.120 Old

00:44:31.340 Lizard

00:44:32.260 Man

00:44:32.540 Reptile

00:44:34.160 Albert

00:44:34.700 Borla

00:44:35.200 Talking

00:44:35.520 About

00:44:35.700 This

00:44:35.880 Here

00:44:36.020 Another

00:44:36.740 Area

00:44:37.100 That

00:44:37.380 We

00:44:37.720 Announced

00:44:38.180 Today

00:44:38.640 Partnership

00:44:41.000 Would

00:44:41.260 Be

00:44:41.480 Are

00:44:41.860 There

00:44:42.000 Are

00:44:42.140 Diseases

00:44:42.600 These

00:44:43.160 Are

00:44:43.300 Diseases

00:44:43.880 Mainly

00:44:44.780 That

00:44:45.220 They

00:44:47.280 Have

00:44:47.500 As

00:44:47.640 A

00:44:47.780 Cause

00:44:48.200 A

00:44:48.740 Mistake

00:44:49.280 In

00:44:49.580 Your

00:44:49.880 DNA

00:44:50.300 It's

00:44:50.520 A

00:44:50.620 Genetic

00:44:50.960 Mistake

00:44:51.460 Something

00:44:51.840 Is 0.88

00:44:52.100 Wrong

00:44:52.340 With

00:44:52.500 Your

00:44:52.640 DNA

00:44:52.980 And

00:44:53.180 As

00:44:53.300 A

00:44:53.400 Result

00:44:53.740 You

00:44:54.420 Have

00:44:54.620 A

00:44:54.740 Disease

00:44:55.140 What

00:44:56.080 We

00:44:56.360 Try

00:44:56.640 To

00:44:56.860 Do

00:44:57.080 With

00:44:57.540 The

00:44:57.940 Base

00:44:58.460 Gen

00:44:59.520 Editing

00:44:59.920 Technology

00:45:00.500 Which

00:45:00.880 BIM

00:45:01.600 Is 0.88

00:45:01.960 A

00:45:02.340 Master

00:45:02.660 It

00:45:04.100 Is 0.88

00:45:04.320 To

00:45:04.520 Targets

00:45:05.820 That

00:45:06.000 Will

00:45:06.180 Be

00:45:06.320 Delivered

00:45:06.960 Through

00:45:07.140 mRNA

00:45:07.500 That

00:45:07.800 Will

00:45:07.940 Be

00:45:08.060 Able

00:45:08.240 To

00:45:08.420 Correct

00:45:08.760 This

00:45:08.980 Mistake

00:45:09.400 There

00:45:10.220 Are

00:45:10.380 Several

00:45:10.820 Genetic

00:45:11.520 Technologies

00:45:12.140 We

00:45:12.400 Did

00:45:12.600 A

00:45:12.740 Lot

00:45:12.960 Of

00:45:13.080 View

00:45:13.220 Diligence

00:45:13.700 And

00:45:14.480 We

00:45:14.620 Thought

00:45:14.900 That

00:45:15.100 The

00:45:15.260 Base

00:45:15.760 Is 0.88

00:45:16.080 The

00:45:17.260 Technology

00:45:17.860 Is 0.88

00:45:19.460 The

00:45:19.620 Best

00:45:19.940 And

00:45:20.340 Also

00:45:20.540 Did

00:45:20.760 A

00:45:20.880 Lot

00:45:21.020 Of

00:45:21.140 View

00:45:21.260 Diligence

00:45:21.620 About

00:45:21.900 Companies

00:45:22.360 And

00:45:22.580 The

00:45:22.860 Best

00:45:23.120 One

00:45:23.380 Was

00:45:23.600 BIM

00:45:23.840 And

00:45:23.960 This

00:45:24.140 Is 0.88

00:45:24.260 Why

00:45:24.520 We

00:45:25.240 Did

00:45:25.740 This

00:45:25.980 Partnership

00:45:26.460 We

00:45:27.520 Are

00:45:27.640 Having

00:45:27.840 Some

00:45:28.040 Other

00:45:28.240 Deals

00:45:28.500 That

00:45:28.620 Will

00:45:28.720 Help

00:45:30.420 Us

00:45:30.520 To

00:45:30.620 Improve

00:45:30.860 Further

00:45:31.440 The

00:45:32.440 Acuitas

00:45:33.060 Which

00:45:33.260 Is 0.88

00:45:33.400 Give

00:45:33.600 Us

00:45:33.900 A

00:45:34.580 License

00:45:34.980 For

00:45:35.220 10

00:45:35.800 Different

00:45:36.300 Targets

00:45:36.820 In

00:45:37.160 The

00:45:37.720 LNP

00:45:38.480 Target

00:45:39.500 LNP

00:45:40.020 Is 0.88

00:45:40.300 The

00:45:40.520 Lipid

00:45:40.980 Nanoparticles

00:45:41.620 That

00:45:41.820 Are

00:45:41.960 Used

00:45:42.180 To

00:45:42.340 Transfer

00:45:42.720 The

00:45:43.320 RNA

00:45:43.580 And

00:45:44.200 The

00:45:44.320 Last

00:45:44.520 But

00:45:44.700 Not

00:45:44.920 Least

00:45:45.240 It

00:45:45.720 Is 0.88

00:45:45.860 The

00:45:46.020 Codex

00:45:46.440 What

00:45:46.740 Codex

00:45:47.360 Technology

00:45:48.120 Is 0.88

00:45:48.280 All

00:45:48.440 About

00:45:48.720 They

00:45:49.200 Are

00:45:49.660 Creating

00:45:52.600 DNA

00:45:53.120 Instead

00:45:53.620 Of

00:45:53.900 Biological 0.65

00:45:54.800 Manufacturing

00:45:55.800 Which

00:45:56.340 Means

00:45:56.520 That

00:45:56.680 You

00:45:56.800 Have

00:45:56.980 Virus

00:45:57.560 To

00:45:57.720 Make

00:45:57.940 It

00:45:58.100 It's

00:45:58.460 A

00:45:58.560 Synthetic

00:45:59.000 It's

00:46:00.180 A

00:46:00.340 Synthetic

00:46:01.000 That's

00:46:01.960 Right

00:46:02.140 So

00:46:02.300 He's

00:46:02.460 Talking

00:46:02.640 About

00:46:02.800 Two

00:46:03.020 Things

00:46:03.300 Here

00:46:03.480 Beam

00:46:03.960 Therapeutics

00:46:04.800 Which

00:46:05.000 Is 0.88

00:46:05.140 Mentioned

00:46:05.540 In

00:46:05.640 This

00:46:05.880 Bloomberg

00:46:06.400 Piece

00:46:06.800 Here

00:46:07.020 Partnership

00:46:07.940 Includes

00:46:08.340 Beam

00:46:08.760 Therapeutics

00:46:09.520 Which

00:46:09.780 Pfizer

00:46:10.540 The

00:46:10.760 Pfizer

00:46:10.980 CEO

00:46:11.300 Claims

00:46:11.820 Is 0.88

00:46:11.960 The

00:46:12.220 Best

00:46:12.760 Guys

00:46:14.620 In

00:46:14.780 The

00:46:14.880 Field

00:46:15.100 Right

00:46:15.340 And

00:46:16.380 Considering

00:46:16.720 Just

00:46:16.940 How

00:46:17.060 Much

00:46:17.200 Money

00:46:17.500 They've

00:46:18.720 You

00:46:19.720 Know

00:46:19.820 Year

00:46:20.120 And

00:46:20.240 A

00:46:20.280 Half

00:46:20.480 Here

00:46:20.620 Since

00:46:20.800 The

00:46:20.940 Roll

00:46:21.100 Out

00:46:21.280 Of

00:46:21.380 The

00:46:21.440 Vaccine

00:46:21.800 Of

00:46:21.960 Course

00:46:22.120 They

00:46:22.260 Would

00:46:22.360 Have

00:46:22.460 The

00:46:22.580 Money

00:46:22.740 To

00:46:22.920 Buy

00:46:23.140 These

00:46:24.460 Companies

00:46:24.800 Up

00:46:25.060 Presumably

00:46:25.460 Right

00:46:25.680 Also

00:46:26.900 Codex

00:46:27.600 DNA

00:46:28.040 And

00:46:28.380 Acuitus

00:46:29.980 Another

00:46:30.380 One

00:46:30.600 CEO

00:46:31.960 Touts

00:46:32.400 Investment

00:46:32.900 In

00:46:33.640 MRNA

00:46:34.160 Tools

00:46:34.540 For

00:46:34.780 Cancer

00:46:35.260 And

00:46:35.500 Rare

00:46:35.860 Diseases

00:46:36.400 But

00:46:36.620 Of

00:46:36.780 Course

00:46:36.920 We

00:46:37.080 Know

00:46:37.240 Where

00:46:37.680 This

00:46:37.940 Ultimately

00:46:38.520 Will

00:46:38.760 Go

00:46:39.000 It

00:46:39.560 Always

00:46:39.880 Comes

00:46:40.180 In

00:46:40.320 This

00:46:40.520 Shape

00:46:42.460 Or

00:46:42.700 Form

00:46:43.180 That

00:46:43.500 Is 0.88

00:46:43.620 Like

00:46:43.800 Well

00:46:44.060 We'll

00:46:44.580 Fix

00:46:45.000 Computer

00:46:46.320 Brain

00:46:46.680 Implants

00:46:47.520 Then

00:46:47.840 It's

00:46:48.060 To

00:46:48.200 Fix

00:46:48.420 Some

00:46:48.680 Paraplegic

00:46:49.620 Guy

00:46:50.740 And

00:46:50.920 Stuff

00:46:51.140 And

00:46:51.360 Again

00:46:51.700 For

00:46:51.900 Them

00:46:52.080 It

00:46:52.220 Might

00:46:52.860 Be

00:46:52.980 Great

00:46:53.240 You

00:46:54.000 Want

00:46:54.120 To

00:46:54.220 Tweet

00:46:54.440 With

00:46:54.860 Just

00:46:55.020 Your

00:46:55.140 Mind

00:46:55.480 Or

00:46:55.720 Send

00:46:56.300 An

00:46:56.420 Email

00:46:56.620 To

00:46:56.820 Somebody

00:46:57.160 Without

00:46:57.440 Using

00:46:57.980 Your

00:46:58.160 Hands

00:46:58.360 On

00:46:58.460 A

00:46:58.560 Keyboard

00:46:58.840 Fine

00:46:59.400 But

00:46:59.920 We

00:47:00.040 Know

00:47:00.220 That

00:47:00.400 Those

00:47:01.300 Are

00:47:01.480 The

00:47:01.600 On

00:47:02.140 They

00:47:02.420 Do

00:47:02.580 The

00:47:02.740 Experiment

00:47:03.300 On

00:47:03.740 And

00:47:04.200 Then

00:47:04.380 It

00:47:04.460 Will

00:47:04.560 Be

00:47:04.680 Rolled

00:47:04.920 Out

00:47:05.080 To

00:47:05.200 Everyone

00:47:05.420 Else

00:47:05.740 And

00:47:06.180 Again

00:47:06.520 If

00:47:06.700 This

00:47:07.620 New

00:47:07.800 Technotronic

00:47:08.480 Era

00:47:08.680 That

00:47:08.880 They're

00:47:09.000 Building

00:47:09.240 You

00:47:10.140 Will

00:47:10.400 Be

00:47:10.560 Left

00:47:10.820 Behind

00:47:11.220 Like

00:47:12.740 You're

00:47:13.180 Kidding

00:47:13.360 When

00:47:13.480 You

00:47:13.800 Have

00:47:13.920 People

00:47:14.160 Connecting

00:47:14.580 To

00:47:14.740 Some

00:47:14.920 Kind

00:47:15.080 Of

00:47:15.140 Cloud

00:47:15.400 Computing

00:47:16.060 Or

00:47:16.240 Some

00:47:16.480 You

00:47:16.680 Know

00:47:16.780 Everything

00:47:18.580 Because

00:47:19.060 Of

00:47:19.200 The

00:47:19.320 Global

00:47:19.760 Brain

00:47:20.220 Or

00:47:20.360 Something

00:47:20.580 I

00:47:37.800 Augmented 1.00

00:47:38.280 Shit 0.99

00:47:38.600 That 1.00

00:47:38.780 They

00:47:38.880 Want

00:47:39.020 To

00:47:39.100 Put

00:47:39.240 In

00:47:39.340 Your

00:47:39.460 Retina

00:47:39.800 Or

00:47:39.960 Something

00:47:40.160 Whatever

00:47:40.860 It

00:47:41.100 Is 0.88

00:47:41.280 That

00:47:41.760 That's

00:47:42.220 That's

00:47:42.980 Where

00:47:43.120 They're

00:47:43.340 Taking

00:47:43.600 This

00:47:43.880 That's

00:47:44.300 The

00:47:44.420 World

00:47:44.720 That

00:47:44.900 They

00:47:45.020 Want

00:47:45.180 Us

00:47:45.280 To

00:47:45.380 Be

00:47:45.540 In

00:47:45.720 We

00:47:47.140 Need

00:47:47.300 To

00:47:47.400 Reject

00:47:47.800 That

00:47:48.100 And

00:47:48.440 Set

00:47:48.700 Alternatives

00:47:49.780 Up

00:47:49.980 Parallel

00:47:50.380 Societies

00:47:50.900 Because

00:47:51.180 Once

00:47:51.460 You

00:47:51.560 Meddle

00:47:52.100 With

00:47:52.260 This 1.00

00:47:52.400 Shit 1.00

00:47:52.560 I 1.00

00:47:52.780 Think

00:47:52.960 It's

00:47:53.100 Going

00:47:53.280 To

00:47:53.480 Go

00:47:54.620 Horribly

00:47:55.820 Wrong

00:48:07.800 Be

00:48:08.020 God's

00:48:08.420 Creation

00:48:08.780 Nature

00:48:09.240 The

00:48:09.540 Gods

00:48:09.840 Whatever

00:48:10.420 Is 0.88

00:48:10.760 Like

00:48:10.940 Actually

00:48:11.440 Did

00:48:13.320 This

00:48:13.660 Right

00:48:13.940 Is 0.88

00:48:14.440 It

00:48:14.540 Evolution

00:48:14.980 Genetics

00:48:15.660 Is 0.88

00:48:16.100 It

00:48:16.240 Created

00:48:16.980 Whatever

00:48:17.240 We

00:48:17.480 Don't

00:48:17.580 Know

00:48:17.700 But

00:48:17.860 The

00:48:18.000 Fact

00:48:18.400 Is 0.88

00:48:18.560 We

00:48:19.420 Are

00:48:19.560 Not

00:48:19.760 Its

00:48:19.960 Creator

00:48:20.300 We

00:48:21.500 Found

00:48:21.840 Some

00:48:22.060 We're

00:48:22.520 In

00:48:22.620 The

00:48:22.740 Playground

00:48:23.220 We're

00:48:23.380 In

00:48:23.420 The

00:48:23.560 Sandbox

00:48:24.180 Right

00:48:24.420 Now

00:48:24.580 We're

00:48:24.780 Tinker

00:48:25.100 Tinker

00:48:25.800 Around

00:48:26.080 With 1.00

00:48:26.260 Shit 1.00

00:48:26.500 That 1.00

00:48:26.900 We

00:48:26.980 Have

00:48:27.120 Ultimately

00:48:27.600 No

00:48:28.000 Idea

00:48:28.420 How

00:48:29.300 It

00:48:29.500 Truly

00:48:30.100 Works

00:48:30.520 Or

00:48:30.680 Why

00:48:30.980 It's

00:48:31.180 Working

00:48:31.460 You

00:48:31.620 Might

00:48:31.740 Be

00:48:31.840 To

00:48:37.800 The

00:48:38.240 Core

00:48:38.540 Reason

00:48:38.900 Why

00:48:39.160 Something

00:48:39.500 Why

00:48:41.140 Does

00:48:41.300 A

00:48:42.560 Flower

00:48:43.400 Smell

00:48:44.460 The

00:48:44.600 Way

00:48:44.720 It

00:48:44.840 Does

00:48:45.060 Or

00:48:45.280 You

00:48:45.440 Know

00:48:45.520 What

00:48:45.600 I

00:48:45.640 Mean

00:48:45.760 Why

00:48:46.160 Does

00:48:46.400 A

00:48:46.600 We

00:48:47.580 Can

00:48:47.740 Maybe

00:48:48.080 Explain

00:48:48.560 How

00:48:48.920 What

00:48:49.260 Happens

00:48:49.660 When

00:48:50.000 A

00:48:50.120 Fetus

00:48:50.380 Grows

00:48:50.780 Or

00:48:50.920 Something

00:48:51.100 But

00:48:51.300 We

00:48:51.420 Don't

00:48:51.580 Know

00:48:51.820 But

00:48:52.260 Why

00:48:52.880 Right

00:48:53.640 What's

00:48:53.900 The

00:48:54.040 But

00:48:54.400 What's

00:48:54.600 The

00:48:54.740 Reason

00:48:55.120 You

00:48:55.800 Things

00:48:56.100 Like

00:48:56.320 That

00:48:56.540 Right

00:48:56.760 Anyway

00:48:58.660 So

00:48:58.860 That's

00:48:59.220 Kind

00:49:00.340 Of

00:49:00.420 That

00:49:00.580 Clip

00:49:00.820 There

00:49:00.980 That

00:49:01.160 That

00:49:01.220 That

00:49:01.360 Is 0.88

00:49:01.400 What

00:49:01.520 They're

00:49:01.620 Talking

00:49:01.860 About

00:49:02.040 Here

00:49:02.180 So

00:49:02.360 This

00:49:02.580 Is 0.88

00:49:02.780 Going

00:49:03.540 To

00:49:03.700 Come

00:49:03.960 This

00:49:04.180 Is 0.88

00:49:04.300 Going

00:49:04.400 To

00:49:04.440 Be

00:49:04.540 Rolled

00:49:04.880 Out

00:49:05.100 And

00:49:06.040 They're

00:49:06.200 Going

00:49:06.380 To

00:49:06.520 Begin

00:49:06.720 To

00:49:06.920 Tamper

00:49:07.400 Even

00:49:07.720 More

00:49:08.040 With

00:49:08.360 People's

00:49:08.860 Genetics

00:49:09.340 And

00:49:09.540 I

00:49:09.640 Think

00:49:09.740 It's

00:49:09.840 Going

00:49:09.940 To

00:49:09.960 Be

00:49:32.040 The

00:49:32.300 Research

00:49:32.580 Came

00:49:32.860 Out

00:49:33.120 And

00:49:34.180 It

00:49:34.420 Showed

00:49:34.580 That

00:49:34.740 Essentially

00:49:35.100 It

00:49:36.520 Shows

00:49:36.840 That

00:49:37.040 It

00:49:37.300 Alters

00:49:37.920 You

00:49:38.180 It

00:49:38.900 Alters

00:49:39.580 Parts

00:49:40.700 Of

00:49:40.800 What

00:49:40.940 You

00:49:41.100 Are

00:49:41.300 It

00:49:41.680 Embedded

00:49:42.120 Itself

00:49:42.520 Into

00:49:42.740 The

00:49:42.900 Nucleus

00:49:43.400 It

00:49:43.620 Wasn't

00:49:43.960 Supposed

00:49:44.320 To

00:49:44.460 Happen

00:49:44.720 Remember

00:49:44.900 We

00:49:45.060 Covered

00:49:45.280 That

00:49:45.420 Story

00:49:45.680 The

00:49:46.500 University

00:49:46.820 Of

00:49:47.020 Umeå

00:49:48.640 I think

00:49:48.860 It

00:49:48.940 Was

00:49:49.060 In

00:49:49.180 Sweden

00:49:49.460 Confirmed

00:49:50.960 Some

00:49:51.120 Of

00:49:51.180 That

00:49:51.380 By

00:49:51.740 Their

00:49:51.920 Research

00:49:52.320 And

00:49:52.560 It

00:49:52.860 Yeah

00:49:52.980 It

00:49:53.080 Actually

00:49:53.260 Does

00:49:53.540 Go

00:49:54.020 Into

00:49:54.160 The

00:49:54.300 Nucleus

00:49:54.720 And

00:49:54.860 It

00:49:54.980 Changes

00:49:55.260 You

00:49:55.440 In

00:49:55.540 A

00:49:55.620 Way

00:49:55.760 That

00:49:55.980 They

00:49:56.300 Didn't

00:49:56.620 Say

00:49:56.820 That

00:49:57.020 They

00:49:57.660 Said

00:49:57.860 He

00:49:57.960 Wouldn't

00:49:58.300 And

00:49:59.460 So

00:49:59.580 Then

00:49:59.760 They

00:49:59.860 Can

00:49:59.980 Just

00:50:00.140 Roll

00:50:00.320 Out

00:50:00.480 It's

00:50:00.960 Fine

00:50:01.160 We

00:50:01.300 Did

00:50:01.440 This

00:50:01.600 With

00:50:01.720 The

00:50:01.820 COVID

00:50:02.020 Vaccine

00:50:02.540 And

00:50:03.880 So

00:50:04.400 This

00:50:04.600 Is 0.88

00:50:04.780 Really

00:50:05.240 Nothing

00:50:05.520 Strange

00:50:05.980 That

00:50:06.640 That's

00:50:06.900 How

00:50:06.940 It's

00:50:07.040 Going

00:50:07.120 To

00:50:07.160 Be

00:50:07.280 Sold

00:50:07.480 And

00:50:10.460 Of

00:50:10.580 Speaking

00:50:11.100 About

00:50:11.300 A

00:50:11.480 We

00:50:11.660 Can

00:50:11.780 Do

00:50:11.900 A

00:50:12.000 Comic

00:50:12.540 Comic

00:50:12.620 Relief

00:50:14.520 Here

00:50:14.700 Some

00:50:14.880 Humorous

00:50:15.280 In

00:50:15.700 Between

00:50:15.900 You

00:50:16.940 You've

00:50:17.180 Heard

00:50:17.320 This

00:50:17.500 Thing

00:50:17.680 Because

00:50:18.320 Hand

00:50:18.600 Hand

00:50:18.900 With

00:50:19.060 These

00:50:19.220 New

00:50:19.360 Developments

00:50:19.940 Gene

00:50:20.240 Editing

00:50:20.740 The

00:50:21.120 Internet

00:50:21.360 Of

00:50:21.560 Things

00:50:21.980 Fourth

00:50:23.080 Industrial

00:50:23.400 Revolution

00:50:23.980 You'll

00:50:24.700 Have

00:50:24.980 Artificial

00:50:26.140 Intelligence

00:50:26.760 Of course

00:50:27.220 Be a 0.95

00:50:27.600 Driver

00:50:27.900 Here

00:50:28.180 And

00:50:28.340 Controlling

00:50:28.780 A lot

00:50:29.060 Of

00:50:29.140 This

00:50:29.360 New

00:50:29.940 Playground

00:50:30.480 That

00:50:30.640 They're

00:50:30.740 Building

00:50:30.980 For

00:50:31.280 Themselves

00:50:31.880 The

00:50:33.140 Plantation

00:50:34.320 For

00:50:34.520 The

00:50:34.640 Camp

00:50:37.180 For

00:50:37.440 Those

00:50:37.600 Who

00:50:37.700 Don't

00:50:37.780 Want

00:50:37.880 To

00:50:37.960 Submit

00:50:38.280 AI

00:50:39.900 Is 0.88

00:50:40.200 Racist

00:50:40.740 We 0.64

00:50:41.080 Need

00:50:41.560 AI

00:50:42.500 To

00:50:42.800 Be

00:50:42.980 Deeply

00:50:43.560 Anti

00:50:43.960 White

00:50:44.340 From

00:50:44.740 The

00:50:44.920 Outset

00:50:45.320 There's

00:50:45.700 Been

00:50:45.840 These

00:50:46.100 Worrying

00:50:46.640 Trends

00:50:47.040 And

00:50:47.120 We've

00:50:47.300 Shown

00:50:47.480 Some

00:50:47.660 Of

00:50:47.740 The

00:50:47.800 Headlines

00:50:48.240 Of

00:50:48.420 Like

00:50:48.580 How

00:50:48.740 It's

00:50:48.900 Problematic

00:50:49.460 That

00:50:49.660 AI

00:50:50.020 For

00:50:51.360 Example

00:50:51.880 Was

00:50:53.720 It

00:50:53.860 A

00:50:53.960 Beauty

00:50:54.160 Contest

00:50:54.860 And

00:50:55.040 The

00:50:55.140 AI

00:50:55.420 Picked

00:50:55.800 I

00:50:56.400 Think

00:50:56.560 All

00:50:56.880 But

00:50:57.080 One

00:50:57.420 Contest

00:50:57.940 Were

00:50:58.120 White

00:50:58.480 Or

00:50:58.620 Something

00:50:58.860 And

00:50:59.000 That

00:50:59.080 Was

00:50:59.200 A

00:50:59.300 Problem

00:51:00.400 Right

00:51:00.660 Well

00:51:01.360 Here's

00:51:01.560 Something

00:51:01.720 Else

00:51:01.980 With

00:51:02.180 Amazon's

00:51:04.040 What

00:51:04.440 They call

00:51:04.620 A

00:51:04.780 Gender

00:51:05.180 Recognition

00:51:06.100 System

00:51:06.600 Right

00:51:06.840 To

00:51:07.060 I

00:51:07.300 Guess

00:51:07.460 They're

00:51:09.200 Doing

00:51:09.380 It

00:51:09.480 For

00:51:09.600 Marketing

00:51:09.940 Purposes

00:51:10.400 I

00:51:10.580 Would

00:51:10.680 Assume

00:51:10.900 To

00:51:11.060 Sell

00:51:11.320 Things

00:51:11.680 To

00:51:11.980 Recognize

00:51:13.560 What

00:51:13.820 You

00:51:14.000 Are

00:51:14.240 Who

00:51:14.440 You

00:51:14.660 Are

00:51:14.920 Age

00:51:15.500 Group

00:51:15.760 Etc

00:51:16.120 So

00:51:16.300 They

00:51:16.420 Can

00:51:16.580 Pitch

00:51:16.860 As

00:51:17.040 Many

00:51:17.260 Ads

00:51:18.260 In

00:51:18.420 The

00:51:18.520 Right

00:51:18.760 Bracket

00:51:19.320 For

00:51:19.480 You

00:51:19.620 As

00:51:19.760 Possible

00:51:20.120 But

00:51:20.340 Anyway

00:51:20.600 I

00:51:21.320 Kind

00:51:21.500 Of

00:51:21.600 Didn't

00:51:21.840 Go

00:51:22.080 As

00:51:22.420 They

00:51:22.660 Intended

00:51:23.380 Here

00:51:23.660 So

00:51:23.820 Of

00:51:23.940 Course

00:51:24.080 This

00:51:24.240 Needs

00:51:24.940 To

00:51:25.000 Be

00:51:25.080 Changed

00:51:25.500 And

00:51:25.700 Updated

00:51:26.080 But

00:51:26.240 Listen

00:51:26.440 To

00:51:26.580 This

00:51:26.740 Here

00:51:26.840 There's

00:51:27.220 A

00:51:27.320 Lot

00:51:27.480 Of

00:51:27.620 Scientific

00:51:28.100 Material

00:51:28.720 Available

00:51:29.220 On

00:51:29.620 How

00:51:29.940 Facial

00:51:30.660 Analysis

00:51:31.160 And

00:51:31.480 Face

00:51:31.720 Recognition

00:51:32.440 Are

00:51:32.740 Related

00:51:33.260 For

00:51:34.760 Instance

00:51:35.380 The

00:51:35.880 Gender

00:51:36.160 Shade

00:51:36.460 Studies

00:51:36.800 Showed

00:51:37.360 That

00:51:37.800 Some

00:51:37.980 Of

00:51:38.120 The

00:51:38.220 Famous

00:51:38.680 Female 0.86

00:51:39.320 Black 0.64

00:51:40.420 Celebrities

00:51:41.340 Were

00:51:42.200 Mistaken

00:51:42.740 As

00:51:42.960 Male

00:51:43.280 Right

00:51:43.820 Like

00:51:44.060 Michelle

00:51:44.360 Obama

00:51:44.800 Serena

00:51:45.360 Williams

00:51:45.820 And

00:51:46.820 All

00:51:47.120 These

00:51:47.560 Like

00:51:48.480 Examples

00:51:49.040 That

00:51:49.600 Show

00:51:49.960 That

00:51:50.300 There

00:51:50.860 Is 0.88

00:51:51.140 A

00:51:51.400 Huge

00:51:51.620 Bias 1.00

00:51:52.100 In

00:51:52.380 The

00:51:52.620 Existing

00:51:53.460 Software

00:51:53.920 And

00:51:54.800 Amazon's

00:51:55.460 Response

00:51:56.060 Was

00:51:57.280 That

00:51:57.920 Oh

00:51:58.100 That's

00:51:58.380 Not

00:51:58.580 Face

00:51:58.860 Recognition

00:51:59.560 That's

00:51:59.880 Gender

00:52:00.220 Analysis

00:52:00.780 And

00:52:01.140 Is 0.88

00:52:01.260 That

00:52:01.420 Inaccurate

00:52:01.900 So

00:52:03.360 They

00:52:03.620 Are

00:52:03.740 Related

00:52:04.320 Right

00:52:04.740 In

00:52:04.900 Fact

00:52:05.220 Gender

00:52:05.960 Recognition

00:52:06.820 Is 0.88

00:52:07.120 An

00:52:07.280 Easier

00:52:07.620 Task

00:52:08.140 Than

00:52:08.580 Recognizing

00:52:09.540 The

00:52:09.700 Identity

00:52:10.140 Of

00:52:10.300 The

00:52:10.440 Person

00:52:10.840 Well

00:52:14.240 Oh

00:52:14.520 Well

00:52:14.800 I

00:52:15.060 Mean

00:52:15.260 I

00:52:15.540 Don't

00:52:15.660 Know

00:52:15.800 That's

00:52:16.200 That's

00:52:16.700 Very

00:52:16.940 Offensive

00:52:17.460 And

00:52:17.660 Of

00:52:17.780 Course

00:52:17.920 That

00:52:18.160 Needs

00:52:18.460 To

00:52:18.760 Change

00:52:19.540 Right

00:52:19.800 So

00:52:19.920 Apparently

00:52:20.220 Again

00:52:20.820 If

00:52:20.920 You

00:52:21.020 Allow

00:52:21.700 An

00:52:22.060 AI

00:52:22.960 To

00:52:23.160 Objectively

00:52:24.040 Apply

00:52:24.580 That's

00:52:26.480 What's

00:52:26.600 So

00:52:26.700 Interesting

00:52:26.960 With

00:52:27.140 AI

00:52:27.340 Too

00:52:27.560 But

00:52:27.700 It

00:52:27.900 Seems

00:52:28.240 Allude

00:52:28.940 To

00:52:29.100 Things

00:52:29.420 That

00:52:29.640 We

00:52:29.840 Have

00:52:30.020 Dismissed

00:52:30.620 Or

00:52:30.740 There's

00:52:31.320 No

00:52:31.440 Scientific

00:52:32.020 Claim

00:52:32.540 For

00:52:32.800 That

00:52:33.040 Or

00:52:33.160 Something

00:52:33.400 Such

00:52:35.200 As

00:52:35.360 Racial

00:52:35.840 Differences

00:52:36.360 Or

00:52:36.580 Things

00:52:36.920 Like

00:52:37.080 That

00:52:37.200 Well

00:52:37.460 That's

00:52:37.880 You

00:52:38.060 Know

00:52:38.180 We

00:52:38.600 Can

00:52:38.740 Deny

00:52:39.700 You

00:52:40.000 Certain

00:52:40.500 Monoclonal

00:52:42.180 Antibodies

00:52:42.860 As a

00:52:43.160 Treatment

00:52:43.580 For

00:52:43.860 COVID

00:52:44.580 Dependent

00:52:47.020 On

00:52:47.160 Your

00:52:47.320 Race

00:52:47.660 We

00:52:47.940 Can

00:52:48.080 Deny

00:52:48.480 It

00:52:48.660 To

00:52:48.880 White

00:52:49.120 People 0.87

00:52:49.440 But

00:52:49.640 At

00:52:49.860 The

00:52:49.980 Same

00:52:50.180 Time

00:52:50.440 White

00:52:50.640 People 0.90

00:52:50.840 Don't

00:52:51.060 Exist

00:52:51.540 And

00:52:52.160 Race

00:52:52.480 Is 0.88

00:52:52.620 Just

00:52:52.880 A

00:52:53.380 Social

00:52:53.800 Construct

00:52:58.240 And

00:52:58.900 Discriminate

00:52:59.580 Accordingly

00:53:00.220 Right

00:53:00.600 So

00:53:01.940 If

00:53:02.620 You

00:53:02.720 Have

00:53:02.840 An

00:53:02.920 AI

00:53:03.140 Kind

00:53:03.340 Of

00:53:03.440 Objectively

00:53:04.320 Apply

00:53:04.660 Certain

00:53:05.020 Things

00:53:05.360 There's

00:53:06.340 Interesting

00:53:06.760 Outcome

00:53:07.360 That

00:53:07.520 Some

00:53:07.720 Kind

00:53:07.960 Of

00:53:08.040 Seems

00:53:08.180 To

00:53:08.340 Break

00:53:08.800 From

00:53:09.820 The

00:53:10.000 Progressive's

00:53:10.740 View

00:53:10.980 Of

00:53:11.180 Certain

00:53:11.460 Issues

00:53:11.960 That

00:53:12.280 Basically

00:53:13.360 Walking

00:53:13.760 Into

00:53:14.020 Taboo

00:53:14.460 Areas

00:53:14.880 Which

00:53:15.080 Is 0.88

00:53:15.180 Kind

00:53:15.320 Of

00:53:15.420 Funny

00:53:15.840 Anyway

00:53:17.320 This

00:53:17.560 One

00:53:17.740 To

00:53:17.880 Real

00:53:18.060 Quick

00:53:18.240 Mention

00:53:18.500 Here

00:53:18.660 But

00:53:18.900 From

00:53:19.280 The

00:53:19.480 Byte

00:53:19.840 Experts

00:53:20.740 Say

00:53:20.920 People

00:53:21.260 Will

00:53:21.520 Soon

00:53:21.860 Live

00:53:22.180 Entire

00:53:22.740 Lives

00:53:23.260 In

00:53:23.580 The

00:53:23.840 Meta

00:53:24.100 Verse

00:53:24.480 One

00:53:24.760 Expert

00:53:25.020 Claims

00:53:25.420 A

00:53:25.560 Large

00:53:25.900 Proportion

00:53:26.600 Of

00:53:27.240 People

00:53:27.580 Will

00:53:27.920 Be

00:53:28.120 In

00:53:28.300 The

00:53:28.420 Meta

00:53:28.600 Verse

00:53:28.840 In

00:53:29.100 Some

00:53:29.440 Way

00:53:29.680 By

00:53:30.540 2030

00:53:31.240 And

00:53:32.100 That's

00:53:32.480 Just

00:53:32.680 An

00:53:33.160 Interesting

00:53:33.640 Year

00:53:33.960 They

00:53:34.140 Pick

00:53:34.360 There

00:53:34.520 By

00:53:34.660 2030

00:53:35.200 Because

00:53:35.520 Of

00:53:35.700 Course

00:53:35.880 Again

00:53:36.400 Imagine

00:53:36.740 The

00:53:37.000 Supply

00:53:38.020 Chain

00:53:38.320 Shutdown

00:53:38.860 I

00:53:39.100 Mean

00:53:39.200 I

00:53:39.340 Think

00:53:39.520 We're

00:53:40.460 Going

00:53:40.720 Towards

00:53:41.200 A

00:53:42.420 Complete

00:53:42.860 Collapse

00:53:43.420 Of

00:53:43.560 The

00:53:43.680 Environment

00:53:44.100 Intentionally

00:53:45.500 You

00:53:46.620 Know

00:53:46.760 If

00:53:47.040 They

00:53:47.160 Do

00:53:47.340 Indeed

00:53:48.100 Have

00:53:48.600 Weather

00:53:49.360 Manipulation

00:53:50.040 Technologies

00:53:50.600 And

00:53:50.840 Things

00:53:51.000 Like

00:53:51.160 That

00:53:51.360 I

00:53:51.860 Think

00:53:52.060 They

00:53:52.200 Will

00:53:52.300 Use

00:53:52.600 It

00:53:52.760 To

00:53:53.000 Devastating

00:53:54.600 Effect

00:53:54.920 To

00:53:55.120 Produce

00:53:56.040 So

00:53:56.760 That

00:53:56.920 They

00:53:57.020 Can

00:53:57.140 Say

00:53:57.280 Oh

00:53:57.420 This

00:53:57.560 Is 0.88

00:53:57.680 Global

00:53:57.940 Warming

00:53:58.380 Therefore

00:53:58.700 We

00:53:58.920 Have

00:53:59.040 To

00:53:59.160 Enforce

00:54:00.200 All

00:54:00.400 These

00:54:00.600 Changes

00:54:01.040 We

00:54:01.260 Have

00:54:01.420 To

00:54:01.520 Do

00:54:01.680 X

00:54:02.000 Y

00:54:02.200 Z

00:54:02.380 Right

00:54:02.660 We

00:54:03.760 Have

00:54:03.900 To

00:54:04.120 Ensure

00:54:06.000 That

00:54:06.160 No

00:54:06.280 One

00:54:06.400 Eats

00:54:06.700 Meat

00:54:06.920 Anymore

00:54:07.240 We

00:54:07.360 Have

00:54:07.480 To

00:54:07.560 Put

00:54:07.720 You

00:54:07.820 In

00:54:07.880 A

00:54:07.960 Pod

00:54:08.300 You

00:54:09.020 Have

00:54:09.140 To

00:54:09.220 Eat

00:54:09.320 The

00:54:09.440 Bugs

00:54:09.800 And

00:54:10.600 In

00:54:10.740 Fact

00:54:11.000 If

00:54:11.180 You

00:54:11.260 Dislike

00:54:12.160 That

00:54:12.380 Existence

00:54:12.900 If

00:54:13.040 You

00:54:13.120 Something

00:54:14.140 Really

00:54:14.620 Bad

00:54:14.920 Happens

00:54:15.300 I'm

00:54:15.460 Sure

00:54:15.580 They

00:54:15.680 Will

00:54:15.760 Have

00:54:15.880 Some

00:54:16.040 Deep

00:54:16.280 Underground

00:54:16.720 Base

00:54:17.020 Somewhere

00:54:17.320 We

00:54:17.520 Will

00:54:18.180 Have

00:54:18.360 To

00:54:18.460 Go

00:54:18.640 And

00:54:19.380 You

00:54:19.480 Will

00:54:19.580 Basically

00:54:19.920 Live

00:54:20.240 In

00:54:20.340 A

00:54:20.420 Concrete

00:54:21.020 Box

00:54:21.400 And

00:54:21.520 Of

00:54:21.640 Of

00:54:21.660 The

00:54:21.880 Only

00:54:21.980 Way

00:54:22.260 Out

00:54:22.580 Of

00:54:22.700 That

00:54:22.980 To

00:54:24.300 Live

00:54:24.560 Some

00:54:25.440 Semblance

00:54:26.040 Not

00:54:26.760 Of

00:54:26.880 A

00:54:26.980 Life

00:54:27.600 Not

00:54:28.960 Dominated

00:54:29.480 By

00:54:29.680 Being

00:54:29.920 In

00:54:30.040 A

00:54:30.420 Concrete

00:54:31.980 Box

00:54:32.420 Would

00:54:33.320 Be

00:54:33.480 To

00:54:33.740 Put

00:54:34.040 On

00:54:34.160 The

00:54:34.240 VR

00:54:34.420 Headset

00:54:34.800 And

00:54:34.980 Live

00:54:35.200 In

00:54:35.500 An

00:54:35.620 Artificial

00:54:36.140 World

00:54:36.620 Remember

00:54:36.940 That

00:54:37.060 Story

00:54:37.260 Friday

00:54:43.120 I

00:54:43.780 Forget

00:54:43.960 The

00:54:44.120 Numbers

00:54:44.440 17%

00:54:46.360 More

00:54:46.640 Milk

00:54:46.980 It's

00:54:48.200 Basically

00:54:48.460 The

00:54:48.600 Same

00:54:48.740 With

00:54:48.880 Us

00:54:49.020 They're

00:54:49.400 Viewing

00:54:50.120 Us

00:54:50.340 As

00:54:50.500 A

00:54:50.880 Cellular

00:54:51.840 Battery

00:54:52.980 The

00:54:53.380 Matrix

00:54:53.740 The

00:54:54.660 Pod

00:54:55.480 Scenario

00:54:55.980 In

00:54:56.800 The

00:54:56.900 Matrix

00:54:57.160 Was

00:54:57.400 Basically

00:54:57.900 They

00:54:58.740 Had

00:54:59.040 Operation

00:55:00.520 Dark 0.57

00:55:00.880 Storm

00:55:01.280 The

00:55:01.620 Humans

00:55:01.960 Had

00:55:02.160 Literally

00:55:02.500 Blotted

00:55:02.920 Out

00:55:03.120 The

00:55:03.300 Sun

00:55:03.580 To

00:55:04.060 Choke 0.96

00:55:04.420 Off

00:55:04.600 The

00:55:04.720 Electrical

00:55:05.180 Supply

00:55:05.620 To

00:55:05.800 The

00:55:05.940 Machines

00:55:06.960 To

00:55:07.120 The

00:55:07.260 Robots

00:55:07.700 Which

00:55:07.900 Were

00:55:08.080 Killing

00:55:08.760 Humans 0.99

00:55:09.100 And

00:55:09.540 Turn

00:55:10.120 On 0.93

00:55:10.260 Humans

00:55:10.580 And

00:55:11.800 So

00:55:12.120 People

00:55:12.780 When

00:55:13.480 The

00:55:14.020 Machines

00:55:14.300 Started

00:55:14.520 Taking

00:55:14.780 Over

00:55:15.000 The

00:55:15.140 Only

00:55:15.240 Way

00:55:15.400 They

00:55:15.700 Could

00:55:15.860 Have

00:55:16.020 Energy

00:55:16.320 Supply

00:55:16.760 Was

00:55:16.960 To

00:55:17.120 Harness

00:55:17.500 The

00:55:18.220 Energy

00:55:18.480 Output

00:55:18.780 Of

00:55:18.960 Humans

00:55:19.360 So

00:55:19.680 Effectively

00:55:20.180 Being

00:55:20.840 In

00:55:21.080 You

00:55:22.340 Know

00:55:22.440 We

00:55:22.720 Were

00:55:22.840 Like

00:55:23.020 In

00:55:23.260 Cells

00:55:23.760 You

00:55:24.920 Know

00:55:25.040 They

00:55:25.240 Call

00:55:25.380 It

00:55:25.500 Cells

00:55:25.800 Of

00:55:25.960 A

00:55:26.080 Battery

00:55:26.340 For

00:55:26.540 Example

00:55:26.780 Right

00:55:26.960 So

00:55:27.060 That's

00:55:27.380 You

00:55:27.520 Know

00:55:27.580 We

00:55:27.720 Were

00:55:27.840 Pod

00:55:28.660 People

00:55:28.960 Living

00:55:29.500 In

00:55:29.740 Cells

00:55:29.900 Producing

00:55:30.360 Energy

00:55:30.660 For

00:55:30.940 The

00:55:31.080 Machines

00:55:31.440 Kind

00:55:31.620 Of

00:55:31.680 Thing

00:55:31.800 Right

00:55:31.960 All

00:55:33.300 Right

00:55:33.480 Anyway

00:55:34.560 It's

00:55:35.680 Kind

00:55:35.780 Of

00:55:35.840 A

00:55:35.940 Side

00:55:36.140 Thing

00:55:36.320 There

00:55:36.520 But

00:55:36.820 Ultimate

00:55:37.800 Power

00:55:38.260 Says 0.93

00:55:38.600 Here

00:55:38.800 On

00:55:38.940 Entropy

00:55:39.220 Stream

00:55:39.640 Looks

00:55:41.000 Like

00:55:41.220 Us

00:55:41.420 Washingtonians

00:55:42.420 Are

00:55:42.600 Up

00:55:42.860 On

00:55:43.100 The

00:55:43.320 Chopping

00:55:43.780 Block

00:55:44.100 After

00:55:44.400 Austria

00:55:44.780 And

00:55:45.160 Australia

00:55:45.940 And

00:55:46.800 Germany

00:55:47.140 Soon

00:55:47.400 To

00:55:47.540 But

00:55:48.140 Yeah

00:55:48.300 That's

00:55:48.580 True

00:55:48.820 Got

00:55:49.860 Mit

00:55:50.260 Uns 0.72

00:55:50.680 Lads

00:55:51.160 Don't

00:55:51.780 Know

00:55:52.080 Don't

00:55:53.000 You

00:55:53.120 Forget

00:55:53.880 About

00:55:54.120 Your

00:55:54.280 Eastern

00:55:54.560 Washington

00:55:55.020 And

00:55:55.300 Oregon

00:55:55.580 Friends

00:55:55.940 Please

00:55:56.260 We

00:55:57.020 Definitely

00:55:57.320 Will

00:55:57.560 Not

00:55:57.840 I

00:55:58.040 Think

00:55:58.240 If

00:55:58.380 It

00:55:58.460 Gets

00:55:58.600 Bad

00:55:58.840 Enough

00:55:59.160 Flee

00:56:00.540 Come

00:56:01.420 Over

00:56:01.580 Here

00:56:01.800 Okay

00:56:02.340 That

00:56:04.360 There's

00:56:04.880 Always

00:56:05.040 A way

00:56:05.280 There's

00:56:05.480 Always

00:56:05.600 A way

00:56:05.760 To

00:56:05.860 Fix

00:56:06.500 Some

00:56:06.640 Of

00:56:06.720 These

00:56:06.840 Things

00:56:07.000 But

00:56:07.160 Yes

00:56:07.400 Absolutely

00:56:07.800 Correct

00:56:08.100 I

00:56:08.240 Mean

00:56:08.300 We

00:56:08.460 We

00:56:08.760 Covered

00:56:09.260 When

00:56:09.600 Did

00:56:09.680 We

00:56:09.760 Cover

00:56:09.940 That

00:56:10.120 Again

00:56:10.260 About

00:56:10.440 Washington

00:56:10.880 Was

00:56:11.120 That

00:56:11.360 I

00:56:12.080 Think

00:56:12.240 That

00:56:12.360 Was

00:56:12.460 In

00:56:12.560 Weekend

00:56:12.880 Warrior

00:56:13.080 Show

00:56:13.380 I

00:56:14.440 Think

00:56:14.560 We

00:56:14.660 Cover

00:56:14.820 That

00:56:15.040 There

00:56:15.300 In

00:56:16.160 Fact

00:56:16.400 We

00:56:16.660 Have

00:56:16.980 Like

00:56:17.280 A

00:56:18.320 Scenario

00:56:19.200 Where

00:56:19.420 They're

00:56:19.560 Going

00:56:19.680 To

00:56:19.860 And

00:56:20.240 They

00:56:20.340 Have

00:56:20.440 Same

00:56:20.680 Thing

00:56:20.920 In

00:56:21.100 New

00:56:22.060 York

00:56:22.320 Now

00:56:22.500 To

00:56:22.660 Basically

00:56:23.020 Right

00:56:23.240 They

00:56:23.380 Can

00:56:23.560 Haul

00:56:23.820 You 0.99

00:56:23.980 Off

00:56:24.200 And

00:56:24.340 Literally

00:56:24.680 Put

00:56:24.980 You

00:56:25.100 In

00:56:25.160 A

00:56:25.240 Camp

00:56:25.520 For

00:56:26.260 No

00:56:26.440 Reason

00:56:26.860 If

00:56:27.640 They

00:56:27.760 Consider

00:56:28.040 You

00:56:28.200 To

00:56:28.300 Be

00:56:28.420 A

00:56:28.760 Threat

00:56:29.000 To

00:56:29.120 Public

00:56:29.360 Health

00:56:29.660 And

00:56:30.040 Of

00:56:30.160 Course

00:56:30.260 This

00:56:30.420 Is 0.88

00:56:30.440 Tied

00:56:30.720 In

00:56:30.800 With

00:56:30.900 The

00:56:30.980 Vaccination

00:56:31.480 That

00:56:31.840 When

00:56:32.000 That

00:56:32.180 Becomes

00:56:32.460 Mandatory

00:56:33.000 If

00:56:33.200 You

00:56:33.300 Remain

00:56:35.360 Vaccine

00:56:35.860 Free

00:56:36.100 Then

00:56:36.980 You

00:56:37.180 Are

00:56:37.340 A

00:56:37.460 Threat

00:56:37.620 To

00:56:37.800 Public

00:56:38.180 Health

00:56:39.020 And

00:56:39.240 You

00:56:39.800 Can

00:56:39.940 Be

00:56:40.100 Hauled 0.92

00:56:40.440 Off

00:56:40.660 Now

00:56:40.820 These

00:56:41.120 Are

00:56:41.320 I

00:56:41.620 Think

00:56:41.760 They

00:56:41.860 Haven't

00:56:42.040 Passed

00:56:42.460 Yet

00:56:42.600 But

00:56:42.760 They're

00:56:42.980 Up

00:56:43.180 For

00:56:43.280 Debate

00:56:43.600 In

00:56:43.720 New

00:56:43.860 York

00:56:44.120 And

00:56:44.800 I

00:56:44.900 Don't

00:56:46.000 Think

00:56:46.160 It's

00:56:46.320 Passed

00:56:46.660 Yet

00:56:46.800 In

00:56:46.940 Washington

00:56:47.260 But

00:56:47.520 It's

00:56:47.720 Like

00:56:47.960 They're

00:56:48.980 This

00:56:49.400 Close

00:56:49.760 In

00:56:50.080 Washington

00:56:50.400 State

00:56:50.700 To

00:56:50.860 New

00:56:51.480 York

00:56:51.740 As

00:56:52.020 Well

00:56:52.200 So

00:56:55.640 They're

00:56:55.840 Going

00:56:56.280 For

00:56:56.480 This

00:56:56.620 This

00:56:56.900 Is 0.88

00:56:57.300 Insane

00:56:57.780 Right

00:56:58.400 I

00:56:58.500 Mean

00:56:58.600 This

00:56:58.760 Is 0.88

00:56:58.880 Absolutely

00:56:59.400 Insane

00:56:59.680 I

00:56:59.780 Think

00:56:59.900 You

00:57:00.160 Literally

00:57:00.500 See

00:57:00.800 People

00:57:01.140 Like

00:57:01.520 Flee

00:57:02.240 And

00:57:02.480 Like

00:57:02.660 Eventually

00:57:03.020 Leave

00:57:03.460 Their

00:57:03.660 Homes

00:57:03.980 If

00:57:04.160 They

00:57:04.260 Haven't

00:57:04.460 Managed

00:57:04.680 To

00:57:04.800 Sell

00:57:05.040 Stuff

00:57:05.700 Just

00:57:05.960 To

00:57:06.120 Get

00:57:06.300 Out

00:57:06.520 Now

00:57:07.380 It

00:57:07.480 Doesn't

00:57:07.660 Mean

00:57:07.780 That

00:57:07.960 Everywhere

00:57:08.260 Certain

00:57:09.020 Are

00:57:09.400 Safe

00:57:09.780 I

00:57:10.400 Think

00:57:10.760 You're

00:57:10.880 Much

00:57:11.060 Better

00:57:11.280 Off

00:57:11.540 At

00:57:11.800 Least

00:57:12.040 Initially

00:57:12.620 When

00:57:13.760 It

00:57:27.300 States

00:57:27.700 And

00:57:27.840 Even

00:57:27.980 Local

00:57:28.260 Are

00:57:28.520 Right

00:57:28.900 I

00:57:29.580 Think

00:57:29.700 What

00:57:29.820 The

00:57:29.900 Program

00:57:30.180 Was

00:57:30.320 Called

00:57:30.500 But

00:57:30.640 It

00:57:30.720 Was

00:57:30.840 One

00:57:31.180 They're

00:57:31.460 Basically

00:57:31.900 Like

00:57:32.340 A

00:57:32.480 COVID

00:57:32.780 Federal

00:57:33.120 COVID

00:57:33.460 Relief

00:57:33.860 Bill

00:57:35.040 That

00:57:36.240 Smaller

00:57:36.940 Local

00:57:37.240 Municipalities

00:57:38.100 And

00:57:38.640 Counties

00:57:39.340 Vote

00:57:39.620 On

00:57:39.840 And

00:57:40.860 They

00:57:40.980 Could

00:57:41.120 Get

00:57:41.340 Financial

00:57:42.060 Help

00:57:42.460 And

00:57:42.600 Stuff

00:57:42.780 Like

00:57:42.920 That

00:57:43.100 But

00:57:43.460 That

00:57:43.620 Of

00:57:43.760 Course

00:57:43.920 As

00:57:44.080 Usual

00:57:44.380 Comes

00:57:44.700 With

00:57:44.960 A

00:57:45.240 Caveat

00:57:46.500 That

00:57:46.680 Comes

00:57:46.880 With

00:57:47.060 This

00:57:47.300 Additional

00:57:48.720 Requirement

00:57:50.280 That

00:57:50.500 You

00:57:50.620 Basically

00:57:50.960 Have

00:57:51.160 To

00:57:51.280 Submit

00:57:51.700 To

00:57:52.040 Federal

00:57:52.620 Rules

00:57:53.420 And

00:57:53.680 That

00:57:54.780 Opens

00:57:55.040 The

00:57:55.180 Door

00:57:55.320 To

00:57:55.480 Every

00:57:55.780 Other

00:57:56.000 Thing

00:57:56.220 That's

00:57:56.440 Happening

00:57:56.680 In

00:57:56.760 The

00:57:56.840 Rest

00:57:56.960 Of

00:57:57.040 The

00:57:57.120 Country

00:57:57.380 And

00:57:59.220 In

00:57:59.360 Blue

00:57:59.540 States

00:57:59.860 We'll

00:58:01.400 Have

00:58:01.500 The

00:58:01.620 Same

00:58:01.780 Strike

00:58:02.160 Teams

00:58:02.480 In

00:58:02.640 These

00:58:02.800 Are

00:58:03.020 We'll

00:58:03.260 Have

00:58:03.360 The

00:58:03.480 Same

00:58:03.680 Enforcement

00:58:04.220 You've

00:58:04.640 You

00:58:05.020 By

00:58:05.900 Receiving

00:58:06.360 This

00:58:06.580 Money

00:58:06.820 You've

00:58:08.000 Agreed

00:58:08.300 To

00:58:08.420 Let

00:58:08.520 The

00:58:08.640 Federal

00:58:08.820 Government

00:58:09.160 Watch

00:58:09.640 Over

00:58:09.840 You

00:58:10.040 And

00:58:10.180 Boss

00:58:11.540 You

00:58:11.640 Around

00:58:11.860 Essentially

00:58:12.180 Right

00:58:12.420 So

00:58:12.860 Again

00:58:13.020 That's

00:58:13.180 Why

00:58:13.260 You

00:58:13.340 Need

00:58:13.480 As

00:58:13.820 Independent

00:58:14.360 Are

00:58:14.700 As

00:58:15.080 Possible

00:58:15.540 Good

00:58:16.260 People

00:58:16.580 That

00:58:16.760 Can

00:58:16.880 Vote

00:58:17.080 On

00:58:17.200 These

00:58:17.380 Things

00:58:17.700 That's

00:58:18.240 Why

00:58:18.360 We

00:58:18.500 Need

00:58:18.620 People

00:58:18.820 Part

00:58:19.140 Of

00:58:19.540 City

00:58:20.300 Council

00:58:21.860 So

00:58:22.080 Can

00:58:22.200 Reject

00:58:22.640 These

00:58:22.880 Things

00:58:23.080 And

00:58:23.680 It

00:58:23.760 Might

00:58:23.900 Look

00:58:24.100 Enticing

00:58:24.760 It's

00:58:25.000 Free

00:58:25.960 Money

00:58:26.360 But

00:58:26.880 Nothing

00:58:27.340 Is 0.88

00:58:27.580 Free

00:58:27.940 Eventually

00:58:28.380 They

00:58:29.440 Will

00:58:29.740 Offer

00:58:30.220 You

00:58:30.400 An

00:58:31.680 Offer

00:58:31.980 You

00:58:32.080 Can't

00:58:32.400 Refuse

00:58:33.020 Right

00:58:33.580 And

00:58:34.260 Things

00:58:34.420 Are

00:58:34.560 Bad

00:58:34.800 Enough

00:58:35.040 Do

00:58:35.320 Not

00:58:36.480 Do

00:58:36.780 It

00:58:36.940 It

00:58:37.780 It's

00:58:39.060 Not

00:58:39.240 To

00:58:39.400 Help

00:58:39.640 You

00:58:39.820 It's

00:58:43.020 But

00:58:44.140 Yeah

00:58:44.300 So

00:58:45.220 That's

00:58:45.540 Absolutely

00:58:46.260 True

00:58:46.640 Ultimate

00:58:48.400 Power

00:58:48.820 It's

00:58:49.460 One

00:58:50.960 Country

00:58:51.580 At

00:58:51.720 Time

00:58:52.080 One

00:58:52.340 State

00:58:52.700 At

00:58:52.860 Time

00:58:53.300 And

00:58:55.080 Just

00:58:55.240 Like

00:58:55.400 We're

00:58:55.540 Seeing

00:58:55.720 This

00:58:55.900 In

00:58:56.000 Austria

00:58:56.200 And

00:58:56.360 Germany

00:58:56.600 Right

00:58:56.880 Now

00:58:57.120 Other

00:58:58.240 Countries

00:58:58.520 Will

00:58:58.840 Begin

00:58:59.020 Look

00:58:59.220 At

00:58:59.320 This

00:58:59.440 Too

00:58:59.540 I

00:58:59.620 Mean

00:58:59.720 There's

00:58:59.880 Some

00:59:00.020 Eastern

00:59:00.300 European

00:59:00.580 Countries

00:59:00.960 That

00:59:01.060 Are

00:59:01.180 Awful

00:59:01.660 On

00:59:02.840 This

00:59:03.000 Front

00:59:03.200 Right

00:59:03.400 Hungary

00:59:03.720 Has

00:59:03.840 Been

00:59:03.960 Bad

00:59:04.240 Poland

00:59:04.700 Has

00:59:04.920 Been

00:59:05.080 Bad

00:59:05.460 Czech 0.85

00:59:06.460 Republic

00:59:06.960 Has

00:59:07.220 Been

00:59:07.360 Bad

00:59:07.660 Some

00:59:07.820 Of

00:59:07.900 The

00:59:07.960 Baltic

00:59:08.400 State

00:59:08.660 Has

00:59:08.820 Been

00:59:08.940 Absolutely

00:59:09.560 Horrible

00:59:10.300 Right

00:59:10.840 With

00:59:11.040 The

00:59:11.180 Lockdowns

00:59:11.680 And

00:59:11.760 Stuff

00:59:11.960 And

00:59:12.120 You

00:59:12.560 Think

00:59:12.840 They

00:59:12.980 Would

00:59:13.100 Not

00:59:13.300 Be

00:59:13.460 But

00:59:13.640 Like

00:59:13.880 There's

00:59:14.480 Very

00:59:14.700 Few

00:59:15.020 That

00:59:15.280 Are

00:59:15.400 Not

00:59:15.920 Going

00:59:16.120 Along

00:59:16.320 With

00:59:16.460 This

00:59:16.700 It's

00:59:18.140 It's

00:59:18.300 A

00:59:18.400 COVID

00:59:18.620 World

00:59:19.140 Order

00:59:19.380 I

00:59:19.540 Mean

00:59:19.620 That's

00:59:19.840 Where

00:59:19.940 It

00:59:20.040 Is 0.88

00:59:20.140 Right

00:59:20.300 Now

00:59:20.440 So

00:59:20.640 Anyway

00:59:21.200 My

00:59:21.620 Condolences

00:59:22.140 For

00:59:22.360 Being

00:59:22.520 There

00:59:22.720 But

00:59:22.880 Again

00:59:23.060 If

00:59:23.180 You

00:59:23.260 Need

00:59:23.360 To

00:59:23.440 Get

00:59:24.140 Out

00:59:24.340 Quick

00:59:24.480 Get

00:59:25.020 In

00:59:25.120 Touch

00:59:25.280 With

00:59:25.440 Us

00:59:25.660 And

00:59:26.020 We'll

00:59:27.240 Have

00:59:27.340 To

00:59:27.420 Find

00:59:27.580 A

00:59:27.680 Black 0.64

00:59:29.040 Philips

00:59:29.300 As

00:59:29.520 Henrik

00:59:30.480 Speaking

00:59:30.700 On

00:59:30.820 Monoclonal

00:59:31.300 Antibodies

00:59:31.920 Here's

00:59:32.260 An

00:59:32.400 Article

00:59:32.740 About

00:59:33.060 It

00:59:33.220 And

00:59:33.580 How

00:59:34.440 They

00:59:34.620 Do

00:59:34.880 Triage

00:59:38.720 By

00:59:39.060 Race

00:59:39.580 This

00:59:39.960 Is 0.88

00:59:40.180 Official

00:59:40.560 FDA

00:59:40.880 Policy

00:59:41.360 I

00:59:41.560 Need

00:59:41.720 Them

00:59:41.860 Myself

00:59:42.360 Badly

00:59:43.100 And

00:59:43.240 Was

00:59:43.360 Denied

00:59:43.760 For

00:59:43.940 Being

00:59:44.160 A

00:59:44.780 Straight

00:59:45.080 White

00:59:45.400 Man

00:59:45.720 Let

00:59:45.860 Me

00:59:45.960 Check

00:59:46.360 The

00:59:46.600 Source

00:59:47.840 Real

00:59:48.060 Quick

00:59:48.260 Here

00:59:48.460 To

00:59:48.760 Yeah

00:59:50.060 Twitter

00:59:50.340 Is 0.88

00:59:50.460 Doing

00:59:50.620 This

00:59:50.800 Thing

00:59:50.960 If

00:59:51.080 You

00:59:51.100 Log

00:59:51.440 In

00:59:51.640 They

00:59:51.800 Block

00:59:52.140 You

00:59:52.380 Is 0.88

00:59:54.460 Gone

00:59:54.840 Looks

00:59:56.460 Like

00:59:56.620 That's

00:59:56.880 Gone

00:59:57.340 Is 0.88

00:59:59.000 That

00:59:59.140 Cut

00:59:59.380 Off

00:59:59.620 Maybe

00:59:59.800 It

00:59:59.900 Was

01:00:00.120 Put

01:00:01.140 It

01:00:01.260 In

01:00:01.320 The

01:00:01.440 Regular

01:00:01.720 Entropy

01:00:02.120 Chat

01:00:03.100 Yeah

01:00:04.840 It

01:00:04.960 Doesn't

01:00:05.120 Exist

01:00:05.540 I'm

01:00:05.680 Not

01:00:05.780 Sure

01:00:05.980 Okay

01:00:06.280 Send

01:00:06.880 It

01:00:06.960 Again

01:00:07.100 Black 0.64

01:00:07.280 Philips

01:00:07.500 And

01:00:07.560 Just

01:00:07.680 Put

01:00:07.820 It

01:00:07.900 In

01:00:08.000 The

01:00:08.180 Regular

01:00:08.680 Entropy

01:00:10.480 Chat

01:00:10.780 And

01:00:11.140 I'll

01:00:11.280 Pull

01:00:11.420 That

01:00:11.560 Up

01:00:11.760 But

01:00:12.360 Yeah

01:00:12.520 I mean

01:00:12.780 Again

01:00:13.200 Not

01:00:13.560 Not

01:00:13.860 Surprised

01:00:14.200 We've

01:00:14.380 Talked

01:00:14.540 About

01:00:14.720 That

01:00:14.960 Completely

01:00:15.940 Crazy

01:00:16.300 With 0.57

01:00:16.560 The

01:00:16.740 Open

01:00:17.360 Discrimination

01:00:17.900 Again

01:00:19.040 I'm

01:00:19.280 Not

01:00:19.780 Sure

01:00:20.020 How

01:00:20.420 Good

01:00:21.760 The

01:00:22.160 Let

01:00:23.140 Let

01:00:23.160 Me

01:00:23.240 Pause

01:00:23.520 This

01:00:23.680 What

01:00:23.820 The 0.97

01:00:23.920 Hell 0.52

01:00:24.060 I'm

01:00:26.040 Not

01:00:26.180 Sure

01:00:26.500 About

01:00:26.800 The

01:00:26.960 Monoclonal

01:00:27.500 Antibodies

01:00:28.060 General

01:00:29.660 Rule

01:00:30.700 Of

01:00:30.860 Thumb

01:00:31.140 Is 0.88

01:00:31.340 Kind

01:00:31.520 Of

01:00:31.600 Like

01:00:31.860 It's

01:00:34.140 Probably

01:00:34.500 Bad

01:00:34.920 But

01:00:35.160 Maybe

01:00:35.900 It's

01:00:36.100 Good

01:00:36.280 I'm

01:00:36.960 Not

01:00:37.120 Sure

01:00:37.360 You

01:00:37.620 Know

01:00:37.760 At

01:00:38.060 Least

01:00:38.240 It's

01:00:38.380 Not

01:00:38.520 What

01:00:38.680 Was

01:00:38.780 The

01:00:38.880 Other

01:00:39.000 One

01:00:39.140 Remdesivir

01:00:39.920 Or

01:00:40.060 Something

01:00:40.240 Which

01:00:40.480 Is 0.88

01:00:40.620 Absolutely

01:00:41.480 Horrific

01:00:42.240 That

01:00:42.460 They're

01:00:42.600 Pushing

01:00:42.860 For

01:00:43.060 A

01:00:43.120 Little

01:00:43.200 Bit

01:00:43.360 Maybe

01:00:43.840 There's

01:00:44.120 Something

01:00:44.900 Different

01:00:45.240 I'm

01:00:45.860 Not

01:00:46.400 Just

01:00:46.620 Always

01:00:47.080 A

01:00:47.480 Luddite

01:00:47.900 And

01:00:48.160 It's

01:00:49.040 Always

01:00:53.680 If

01:00:54.380 It's

01:00:54.520 Big

01:00:54.720 Pharma

01:00:55.060 It'll

01:00:55.340 Probably 0.57

01:00:55.660 Kill 1.00

01:00:56.140 You 1.00

01:00:56.320 Or

01:00:56.500 Make

01:00:56.660 Things

01:00:56.860 Worse

01:00:57.200 Right

01:00:57.660 But

01:00:58.680 If

01:00:58.800 You

01:00:58.880 Want

01:00:58.980 To

01:00:59.080 Try

01:00:59.980 Go

01:01:00.320 Ahead

01:01:00.480 I

01:01:00.640 Mean

01:01:00.740 Definitely

01:01:00.980 Try

01:01:01.600 It

01:01:01.700 Out

01:01:01.800 So

01:01:02.300 Anyway

01:01:02.500 Thank

01:01:03.180 You

01:01:03.260 Black 0.98

01:01:03.420 Phillip

01:01:03.580 As

01:01:03.780 Well

01:01:03.980 And

01:01:04.400 Hope

01:01:05.580 You're

01:01:05.800 Feeling

01:01:06.060 Better

01:01:06.340 That

01:01:06.560 We've

01:01:06.800 Had

01:01:06.940 We've

01:01:07.200 Heard

01:01:07.320 From

01:01:07.520 A

01:01:07.700 Number

01:01:07.840 Of

01:01:07.960 People

01:01:08.220 Michael

01:01:09.560 I

01:01:09.720 Think

01:01:09.880 In

01:01:10.180 Michael

01:01:10.780 50

01:01:11.020 70

01:01:11.340 From

01:01:11.720 Germany

01:01:12.060 He

01:01:12.300 Came

01:01:13.580 Down

01:01:13.840 With

01:01:14.060 Supposed

01:01:15.240 The

01:01:15.640 Coof

01:01:15.940 Same

01:01:16.960 Thing

01:01:17.080 With

01:01:17.180 Black 0.64

01:01:17.380 Phillip

01:01:17.600 As

01:01:17.760 Well

01:01:17.880 So

01:01:18.000 I

01:01:18.040 Hope

01:01:18.140 You're

01:01:18.240 Doing

01:01:18.360 Better

01:01:18.620 But

01:01:19.820 Yeah

01:01:20.000 There's

01:01:20.280 Something

01:01:20.520 There's

01:01:20.940 Something

01:01:21.160 Flying

01:01:21.440 Out

01:01:21.660 There

01:01:22.040 I'm

01:01:22.160 Just

01:01:22.360 Not

01:01:22.640 Sure

01:01:22.780 What

01:01:22.920 It

01:01:23.000 Is 0.88

01:01:23.120 Yet

01:01:23.260 Okay

01:01:25.080 So

01:01:25.280 Let's

01:01:25.960 Let's

01:01:26.280 Talk

01:01:26.480 About

01:01:26.640 Let's

01:01:27.400 Talk

01:01:27.540 About

01:01:27.700 This

01:01:27.840 Story

01:01:28.040 For

01:01:28.200 A

01:01:28.220 Little

01:01:28.340 Here

01:01:28.540 Just

01:01:29.880 A

01:01:30.000 Quick

01:01:30.180 Mention

01:01:30.580 USA

01:01:33.000 Today

01:01:33.400 The

01:01:34.700 Complicated

01:01:35.580 Research

01:01:36.300 Behind

01:01:37.000 Pedophilia

01:01:37.740 That's

01:01:38.260 Right

01:01:38.460 So

01:01:39.140 This

01:01:39.320 Was

01:01:39.560 First

01:01:39.980 Tweeted

01:01:40.360 Out

01:01:40.600 And

01:01:42.300 Then

01:01:43.500 They

01:01:43.880 They

01:01:45.540 They

01:01:46.040 Denied

01:01:46.600 They

01:01:46.860 Denied

01:01:47.280 It

01:01:47.400 Right

01:01:47.540 They

01:01:47.660 Dismissed

01:01:48.160 It

01:01:48.340 I'm

01:01:49.640 Sorry

01:01:49.800 Deleted

01:01:50.580 It

01:01:50.780 And

01:01:51.100 Just

01:01:51.380 Said

01:01:51.520 Oh

01:01:51.760 A

01:01:52.420 Previous

01:01:52.840 Thread

01:01:53.120 Did

01:01:53.320 Not

01:01:53.500 Include

01:01:53.880 All

01:01:54.300 Information

01:01:54.900 And

01:01:55.620 The

01:01:55.740 Story

01:01:56.040 It

01:01:56.160 Was

01:01:56.280 Written

01:01:56.500 About

01:01:56.700 Is 0.88

01:01:56.840 Behind

01:01:57.080 A

01:01:57.220 Paywall

01:01:57.620 We

01:01:57.960 Made

01:01:58.180 The

01:01:58.320 Decision

01:01:58.740 To

01:01:58.940 Delete

01:01:59.300 The

01:01:59.480 Thread

01:01:59.720 And

01:01:59.860 Then

01:01:59.980 They

01:02:00.100 Said

01:02:00.260 We

01:02:00.380 Also

01:02:00.660 But

01:02:01.120 We

01:02:01.260 Removed

01:02:01.700 The

01:02:01.840 Paywall

01:02:02.400 From

01:02:02.660 The

01:02:02.820 Story

01:02:03.120 Find

01:02:03.520 The

01:02:03.820 Story

01:02:04.100 Here

01:02:04.400 Right

01:02:04.600 And

01:02:05.860 So

01:02:06.160 This

01:02:06.680 Is 0.88

01:02:06.940 The

01:02:07.180 Story

01:02:07.680 Right

01:02:07.900 Here

01:02:08.040 Let

01:02:08.180 Close

01:02:08.520 Couple 0.60

01:02:08.740 Of

01:02:08.820 Windows

01:02:09.020 Here

01:02:09.180 Real

01:02:09.340 Quick

01:02:09.520 This

01:02:11.940 Is 0.88

01:02:12.080 Written

01:02:12.280 By

01:02:12.640 And

01:02:13.260 This

01:02:13.420 Is 0.88

01:02:13.560 Part

01:02:14.020 Of

01:02:14.140 Moving

01:02:14.360 The

01:02:14.540 Cursor

01:02:14.960 It

01:02:15.140 Is 0.88

01:02:15.220 Always

01:02:15.600 This

01:02:15.940 Well

01:02:16.380 You

01:02:16.720 Know

01:02:16.820 We

01:02:16.980 It

01:02:17.580 It

01:02:17.620 Comes

01:02:19.660 To

01:02:19.760 The

01:02:19.880 Pedophile

01:02:20.340 Stuff

01:02:20.640 It

01:02:20.840 Is 0.88

01:02:20.940 Kind

01:02:21.160 Of

01:02:21.260 Complicated

01:02:21.820 Okay

01:02:22.300 We

01:02:23.120 Shouldn't

01:02:23.420 Make

01:02:23.640 Any

01:02:23.880 Judgments

01:02:25.340 And

01:02:25.520 That

01:02:25.640 Can

01:02:25.760 Actually

01:02:25.980 Be

01:02:26.160 A

01:02:26.280 Bad

01:02:26.500 Thing

01:02:26.940 And

01:02:27.640 In

01:02:27.940 Fact

01:02:28.120 It

01:02:28.300 It

01:02:28.320 Is 0.88

01:02:28.340 Not

01:02:28.520 The

01:02:29.080 Pedophiles

01:02:29.680 That

01:02:29.840 The

01:02:29.920 Problem

01:02:30.180 It

01:02:30.640 Is 0.88

01:02:30.700 All

01:02:30.920 The

01:02:31.060 People

01:02:31.480 That

01:02:31.680 Are

01:02:38.520 Abusing

01:02:39.440 Children

01:02:39.900 Or

01:02:40.360 At

01:02:40.420 The

01:02:40.480 Very

01:02:40.600 Least

01:02:40.800 Have

01:02:40.960 A

01:02:41.080 Desire

01:02:41.600 And

01:02:42.280 Therefore

01:02:42.660 Thinking

01:02:43.300 About

01:02:43.700 Abusing

01:02:44.020 Children

01:02:44.420 Which

01:02:45.160 Means

01:02:45.340 They

01:02:45.460 Are

01:02:45.520 Taking

01:02:46.020 Time

01:02:46.420 Bomb

01:02:46.660 Literally

01:02:47.000 They

01:02:47.200 Could

01:02:47.320 Turn

01:02:47.840 On

01:02:48.020 Kids

01:02:48.380 At

01:02:48.540 Any

01:02:48.740 Moment

01:02:49.060 If

01:02:49.240 They

01:02:49.340 Are

01:02:49.900 Not

01:02:52.300 Able

01:02:52.660 To

01:02:53.100 Resist

01:02:54.740 Their

01:02:55.020 Perverted 1.00

01:02:55.560 Disgusting 1.00

01:02:56.380 Urges 0.99

01:02:57.540 Criminal

01:02:59.020 Urges

01:02:59.560 They

01:03:01.820 Are

01:03:02.320 A

01:03:02.740 Walking

01:03:03.600 Weapon

01:03:04.220 Right

01:03:04.560 Essentially

01:03:04.980 So

01:03:06.980 Alia

01:03:07.600 E

01:03:08.100 Dust

01:03:08.720 Dust

01:03:09.400 Dog

01:03:09.680 Year

01:03:09.900 Says 0.93

01:03:10.200 Here

01:03:10.480 USA

01:03:11.000 Today

01:03:11.320 Pedophilia

01:03:12.900 Is 0.88

01:03:13.100 Viewed

01:03:13.460 Amongst

01:03:13.900 The

01:03:14.120 Most

01:03:14.320 Horrific

01:03:14.820 Social

01:03:15.260 Ill

01:03:15.560 But

01:03:17.120 Scientists

01:03:18.900 Who

01:03:19.700 Study

01:03:20.240 The

01:03:20.640 Sexual

01:03:21.160 Disorder

01:03:21.840 That's

01:03:22.140 Right

01:03:22.360 It's

01:03:23.560 Not

01:03:23.700 A

01:03:23.800 Criminal

01:03:24.760 Thing

01:03:25.420 Or

01:03:25.540 Something

01:03:25.680 It's

01:03:25.840 Just

01:03:25.960 A

01:03:26.160 Sexual

01:03:26.540 Disorder

01:03:26.980 Say

01:03:28.240 It's

01:03:28.580 Also

01:03:29.240 Among

01:03:30.600 The

01:03:30.820 Most

01:03:31.160 Misunderstood

01:03:32.040 When

01:03:33.920 Most

01:03:34.220 Of

01:03:34.360 The

01:03:34.460 Public

01:03:34.700 Think

01:03:35.020 Of

01:03:35.200 Pedophilia

01:03:35.680 They

01:03:36.360 Assume

01:03:36.840 It's

01:03:37.060 Synonymous

01:03:37.480 With

01:03:37.840 Child

01:03:38.300 Sexual 0.92

01:03:38.840 Abuse

01:03:39.300 Yeah

01:03:39.600 You

01:03:39.760 Kind

01:03:39.980 Of

01:03:40.120 You

01:03:40.560 Would

01:03:40.700 Think

01:03:40.960 So

01:03:41.220 A

01:03:42.540 Pervasive

01:03:43.140 Social

01:03:43.600 Problem

01:03:44.080 That

01:03:44.520 Has

01:03:44.640 Exploded

01:03:45.540 To

01:03:45.840 Crisis

01:03:46.440 Levels

01:03:47.140 Online

01:03:47.620 So

01:03:47.760 That's

01:03:47.940 Right

01:03:48.080 Where

01:03:48.240 Are

01:03:48.360 We

01:03:48.480 Are

01:03:48.960 One

01:03:50.180 Two

01:03:50.720 Three

01:03:52.060 Third

01:03:52.620 Sentence

01:03:53.120 In

01:03:53.340 And

01:03:53.580 They're

01:03:53.760 Already

01:03:54.180 Saying

01:03:54.720 Forget

01:03:55.580 About

01:03:55.780 The

01:03:55.900 Actual

01:03:56.140 Pedophiles

01:03:56.720 The

01:03:57.000 Real

01:03:57.480 Problem

01:03:57.980 Is 0.88

01:04:00.760 The

01:04:00.960 People

01:04:01.340 On

01:04:01.620 The

01:04:01.800 Internet

01:04:02.400 That

01:04:03.740 Are

01:04:04.120 That

01:04:06.040 Think

01:04:06.340 Pedophilia

01:04:07.200 Is 0.88

01:04:08.240 Not

01:04:08.520 Only

01:04:08.700 Crime

01:04:09.120 But

01:04:09.440 Sick

01:04:09.760 And 1.00

01:04:09.940 Disgusting 1.00

01:04:10.480 And 0.99

01:04:10.800 Essentially

01:04:11.200 If

01:04:11.400 You

01:04:11.460 Have

01:04:11.600 Someone

01:04:11.880 Who

01:04:12.180 Wants

01:04:13.160 To

01:04:13.320 Do

01:04:13.460 These

01:04:13.680 Kinds

01:04:13.880 Of

01:04:13.980 Acts

01:04:14.300 They

01:04:16.100 Need

01:04:16.240 To

01:04:16.320 Be

01:04:16.460 Taken

01:04:16.740 Care

01:04:16.940 Of

01:04:17.160 Right

01:04:17.480 Those

01:04:18.980 People

01:04:19.280 Are

01:04:19.420 The

01:04:19.520 Problem

01:04:19.700 That's

01:04:20.180 The

01:04:20.320 Danger

01:04:20.660 Actually

01:04:21.380 We

01:04:21.480 Have

01:04:21.600 More

01:04:21.880 On

01:04:22.000 That

01:04:22.160 Friday

01:04:22.500 We

01:04:22.700 Just

01:04:22.860 Came

01:04:23.020 Across

01:04:23.300 A

01:04:23.800 Longer

01:04:24.280 Episode

01:04:24.900 I was

01:04:26.420 Talking

01:04:26.560 With

01:04:26.680 Lana

01:04:26.840 About

01:04:27.020 It

01:04:27.100 We'll

01:04:27.620 Show

01:04:27.880 You

01:04:27.980 That

01:04:28.100 Friday

01:04:28.440 In

01:04:28.760 This

01:04:28.960 Vein

01:04:29.220 Too

01:04:29.460 It's

01:04:30.120 Amazing

01:04:30.400 It's

01:04:30.620 Like

01:04:30.760 It's

01:04:31.100 Happening

01:04:31.380 They're

01:04:31.540 Doing

01:04:31.780 This

01:04:31.980 Push 0.64

01:04:32.220 Like

01:04:32.540 Right

01:04:32.740 In

01:04:32.880 The

01:04:32.980 Middle 0.95

01:04:33.120 Of

01:04:33.240 All

01:04:33.380 Of

01:04:33.480 This

01:04:33.580 Crazy 1.00

01:04:33.840 Shit 1.00

01:04:34.080 That's 1.00

01:04:34.500 Happening

01:04:34.760 They're

01:04:34.920 Like

01:04:35.060 Also

01:04:35.460 Kid

01:04:36.040 Diddlers

01:04:36.340 Are

01:04:36.600 Totally

01:04:37.040 Fine

01:04:37.340 Researchers

01:04:47.480 Misperceptions

01:04:48.740 That's

01:04:49.540 Right

01:04:49.760 The

01:04:51.660 American

01:04:51.980 Psychiatric

01:04:53.600 Associations

01:04:54.360 Diagnostic

01:04:55.380 And

01:04:56.040 Statistical

01:04:56.740 Manual

01:04:57.240 Of

01:04:57.460 Mental

01:04:57.800 Disorders

01:04:58.360 And

01:04:58.700 Remember

01:04:58.980 These

01:04:59.220 Are

01:04:59.340 The

01:04:59.420 Ones

01:04:59.600 Who

01:04:59.740 Had

01:05:00.140 Transgender 0.81

01:05:03.360 Stuff

01:05:03.780 As

01:05:03.980 A

01:05:04.100 Mental

01:05:04.300 Disorder

01:05:04.680 For

01:05:04.820 The

01:05:04.900 Longest

01:05:05.120 Time

01:05:05.260 They

01:05:05.380 Had 0.66

01:05:05.480 Homosexuality 1.00

01:05:06.260 I

01:05:06.340 Think

01:05:06.480 Too

01:05:06.660 As

01:05:06.840 A

01:05:07.240 Mental

01:05:07.400 Disorder

01:05:07.780 For

01:05:07.920 The

01:05:07.980 Longest

01:05:08.200 Time

01:05:08.380 And

01:05:09.000 Then

01:05:09.100 Of

01:05:09.240 Course

01:05:09.420 Due

01:05:09.700 To

01:05:09.860 Our

01:05:10.080 Wonderful

01:05:10.960 Progressive

01:05:11.520 Time

01:05:11.740 They

01:05:11.880 Did

01:05:12.440 Away

01:05:13.200 With

01:05:13.440 All

01:05:13.580 Of

01:05:13.700 These

01:05:13.880 And

01:05:14.020 Of

01:05:14.140 Of

01:05:14.160 That

01:05:15.180 Is 0.88

01:05:17.480 Well

01:05:17.680 Now

01:05:17.860 With

01:05:18.000 Pedophilia

01:05:18.400 This

01:05:18.820 Is 0.88

01:05:18.960 Already

01:05:19.200 A

01:05:19.480 Redefinition

01:05:19.980 Of

01:05:20.120 It

01:05:20.200 Right

01:05:20.380 They

01:05:20.920 Say

01:05:21.180 The

01:05:22.360 This

01:05:23.140 Statistic

01:05:24.060 Of

01:05:24.240 Manual

01:05:24.480 Mental

01:05:24.740 Disorder

01:05:25.160 Said

01:05:25.940 Pedophilia

01:05:26.360 Is 0.88

01:05:26.540 Defined

01:05:26.940 By

01:05:27.200 Recurrent

01:05:28.840 Intense

01:05:29.600 Sexual

01:05:30.200 Arousing

01:05:30.820 Fantasies

01:05:31.640 Sexual

01:05:32.200 Urges

01:05:32.640 Or

01:05:33.200 Behaviors

01:05:33.720 Involving

01:05:34.220 Sexual

01:05:34.700 Activity

01:05:35.560 With

01:05:35.780 A

01:05:35.960 Pre

01:05:36.220 Bubescent

01:05:36.880 Child

01:05:37.340 Or

01:05:37.660 Children

01:05:38.180 Scientists

01:05:39.040 Have

01:05:39.240 In

01:05:39.360 Recent

01:05:39.620 Decades

01:05:40.020 Improved

01:05:40.860 Their

01:05:41.120 Understanding

01:05:41.880 Of

01:05:42.540 Pedophilia

01:05:43.240 Causes

01:05:44.140 Prenatal

01:05:45.320 And

01:05:46.060 Early

01:05:46.620 Childhood

01:05:47.120 Risk

01:05:47.400 Factors

01:05:47.820 As

01:05:48.100 Well

01:05:48.360 As

01:05:48.540 How

01:05:48.800 Pedophiles

01:05:49.540 Can

01:05:49.780 Better

01:05:50.100 Control

01:05:50.660 Impulses

01:05:51.380 That's

01:05:51.720 Right

01:05:51.880 So

01:05:52.080 You

01:05:52.540 Know

01:05:52.620 We'll

01:05:52.800 We'll

01:05:53.220 Try

01:05:53.480 To

01:05:53.640 Work

01:05:53.840 On

01:05:53.960 Their

01:05:54.080 Impulses

01:05:54.860 That's

01:05:55.700 Where

01:05:55.820 That's

01:05:56.120 Where

01:05:56.240 The

01:05:56.360 Trick

01:05:56.600 Is 0.88

01:05:56.800 Here

01:05:56.920 Now

01:05:57.160 Again

01:05:58.300 As

01:05:58.460 I said

01:05:58.600 They're

01:05:58.760 Like

01:05:58.940 Walking

01:05:59.400 Time

01:05:59.760 Bombs

01:06:00.080 But

01:06:00.240 You're

01:06:00.640 Going

01:06:00.720 To

01:06:00.800 See

01:06:00.980 A

01:06:01.580 Lot

01:06:01.760 More

01:06:01.980 Of

01:06:02.120 This

01:06:02.300 And

01:06:02.480 Again

01:06:02.620 Immediately

01:06:02.940 As I

01:06:03.340 Said

01:06:03.460 They're

01:06:03.620 Trying

01:06:03.760 To

01:06:03.880 Back

01:06:04.740 Pedal

01:06:05.100 On

01:06:05.240 This

01:06:05.420 And

01:06:05.540 Oh

01:06:05.740 Well

01:06:05.940 It

01:06:06.040 Was

01:06:06.140 Behind

01:06:06.380 A

01:06:06.500 Paywall

01:06:06.960 Blah 0.99

01:06:07.460 Blah 0.99

01:06:07.680 Blah 0.99

01:06:07.900 Blah 0.99

01:06:08.080 Blah 0.99

01:06:08.340 Blah 0.99

01:06:08.660 How

01:06:08.960 Many

01:06:09.140 Times

01:06:09.440 Have

01:06:09.580 We

01:06:09.740 Showed

01:06:11.080 This

01:06:11.220 Now

01:06:11.480 How

01:06:12.660 Many

01:06:12.780 Articles

01:06:13.200 Have

01:06:13.560 Been

01:06:13.700 Written

01:06:13.980 That

01:06:14.180 This

01:06:14.340 Is 0.88

01:06:14.420 Just

01:06:14.560 A

01:06:14.700 Sexual

01:06:15.000 Preference

01:06:15.620 And

01:06:15.820 Oh

01:06:15.980 It's

01:06:16.120 Not

01:06:16.240 Their

01:06:16.460 Fault

01:06:16.860 And

01:06:17.020 All

01:06:17.140 That

01:06:17.240 Stuff

01:06:17.600 Right

01:06:17.780 No

01:06:18.980 The

01:06:19.140 Problem

01:06:19.420 Is 0.88

01:06:19.600 The

01:06:19.720 People

01:06:20.100 Online

01:06:20.720 Who

01:06:21.800 Doesn't

01:06:22.060 Like

01:06:22.260 This

01:06:22.520 Or

01:06:22.820 Going

01:06:23.500 After

01:06:23.820 Pedophilia

01:06:24.440 And

01:06:24.600 Pedophiles

01:06:25.020 And

01:06:25.140 Stuff

01:06:25.260 That's

01:06:25.580 The

01:06:25.700 That's

01:06:26.080 The

01:06:26.200 Big

01:06:26.360 Problem

01:06:26.640 You

01:06:26.840 See

01:06:26.980 And

01:06:27.520 It

01:06:27.580 Was

01:06:27.680 An

01:06:27.780 Interesting

01:06:28.060 Thing

01:06:28.400 Related

01:06:29.080 To

01:06:29.200 This

01:06:29.340 Too

01:06:29.560 And

01:06:30.640 After

01:06:30.840 That

01:06:31.000 We'll

01:06:31.180 After

01:06:31.420 This

01:06:31.660 Last

01:06:31.960 Thing

01:06:32.100 Here

01:06:32.220 We'll

01:06:32.340 Go

01:06:32.460 Into

01:06:32.600 The

01:06:32.840 The

01:06:33.740 COVID

01:06:33.940 Stuff

01:06:34.200 Fauci

01:06:34.640 Is 0.88

01:06:35.820 Targeted

01:06:36.160 Like

01:06:36.300 Crazy

01:06:36.500 Right

01:06:36.700 Now

01:06:36.840 Which

01:06:36.980 Is 0.88

01:06:37.140 It's

01:06:38.020 Actually

01:06:38.180 Enjoyable

01:06:38.680 And

01:06:38.860 Fun

01:06:39.120 To

01:06:39.260 See

01:06:39.420 That

01:06:39.620 So

01:06:39.920 Might

01:06:40.860 Be

01:06:40.960 A

01:06:41.060 Distraction

01:06:41.460 Of

01:06:41.640 Sort

01:06:41.900 But

01:06:42.160 We'll

01:06:42.560 Watch

01:06:42.800 Some

01:06:42.920 Of

01:06:53.500 To

01:06:53.720 Propose

01:06:54.060 That

01:06:54.260 There

01:06:54.420 Is 0.88

01:06:54.540 Someone

01:06:54.820 Somewhere

01:06:55.600 Within

01:06:56.500 All

01:06:57.000 These

01:06:57.140 Big

01:06:57.320 Pharma

01:06:57.520 Companies

01:06:57.920 That

01:06:58.240 Knows

01:06:58.960 That

01:07:00.440 Some

01:07:00.740 Of

01:07:00.860 The

01:07:00.960 Batches

01:07:01.400 Or

01:07:01.560 Lots

01:07:01.860 That

01:07:02.000 They've

01:07:02.140 Sent

01:07:02.340 Out

01:07:02.600 Are

01:07:04.260 Killing

01:07:04.480 People 1.00

01:07:04.780 We'll

01:07:05.340 Get

01:07:05.700 To

01:07:05.820 That

01:07:05.980 Here

01:07:07.240 Is 0.88

01:07:07.440 A

01:07:07.840 Statue

01:07:09.640 Being

01:07:10.000 Rightfully

01:07:11.800 So

01:07:12.060 Vandalized

01:07:13.000 This

01:07:13.300 Is 0.88

01:07:13.420 Not

01:07:13.600 A

01:07:13.740 BLM 1.00

01:07:14.760 Move

01:07:15.000 These

01:07:15.380 Are

01:07:15.520 The

01:07:15.600 Statues

01:07:16.100 That

01:07:16.280 They

01:07:16.400 Wouldn't

01:07:16.760 Take

01:07:16.980 Down

01:07:17.280 The

01:07:18.060 Antifas

01:07:18.460 And

01:07:18.560 BLM 1.00

01:07:18.920 In

01:07:20.040 London

01:07:20.860 This

01:07:21.080 Actually

01:07:21.280 In fact

01:07:21.520 Of

01:07:22.400 All

01:07:22.740 Things

01:07:22.980 Think

01:07:23.240 Of

01:07:23.420 What's

01:07:26.360 His

01:07:26.440 Name

01:07:26.600 Now

01:07:26.880 Saville

01:07:28.300 Jimmy

01:07:28.600 Saville

01:07:29.080 Right

01:07:29.240 Think

01:07:29.400 About

01:07:29.580 The

01:07:29.720 BBC

01:07:30.040 And

01:07:30.320 Jimmy

01:07:30.480 Saville

01:07:30.880 And

01:07:31.000 All

01:07:31.100 The

01:07:31.220 Pedo

01:07:31.460 Stuff

01:07:31.740 And

01:07:31.880 Of

01:07:32.020 Of

01:07:32.040 Of

01:07:32.120 BBC

01:07:32.440 Was

01:07:32.760 Part

01:07:33.320 Of

01:07:33.440 Covering

01:07:33.760 That

01:07:33.900 Up

01:07:34.100 It's

01:07:35.060 On

01:07:35.180 The

01:07:35.280 BBC

01:07:35.480 Building

01:07:35.780 In

01:07:36.000 London

01:07:36.280 It's

01:07:37.160 A

01:07:37.260 Statue

01:07:37.520 By

01:07:37.760 Eric

01:07:38.340 Gill

01:07:38.920 I'll

01:07:39.320 Share

01:07:39.460 A

01:07:39.560 Little

01:07:39.620 More

01:07:39.840 About

01:07:40.040 Him

01:07:40.200 In

01:07:40.280 A

01:07:40.360 Moment

01:07:40.540 It's

01:07:41.620 Literally

01:07:41.980 A

01:07:42.220 Statue

01:07:42.600 Of

01:07:42.780 An

01:07:43.200 Old

01:07:43.440 Guy

01:07:43.760 I

01:07:45.580 Mean

01:07:45.980 Basically

01:07:46.420 Almost

01:07:46.860 Fondling

01:07:47.460 A

01:07:47.620 Young

01:07:47.880 Naked

01:07:48.200 Child

01:07:48.580 Right

01:07:48.820 But

01:07:49.000 It's

01:07:49.260 Being

01:07:49.600 Smashed

01:07:51.580 Up

01:07:51.900 By

01:07:53.360 Some

01:07:53.580 Random

01:07:53.840 Guy

01:07:54.100 Look

01:07:54.360 At

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01:08:18.540 Lights

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01:08:19.000 Blinking

01:08:19.520 You

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01:08:23.380 Be

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01:08:23.960 So

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01:08:35.740 Abusing 0.89

01:08:36.340 Children 0.62

01:08:36.780 His

01:08:37.900 Religious

01:08:38.260 Views

01:08:38.620 And

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01:08:40.000 Matter

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01:08:40.660 With

01:08:40.800 His

01:08:40.960 Sexual

01:08:41.500 Behavior

01:08:41.960 Including

01:08:42.460 His

01:08:42.680 Erotic

01:08:43.100 Art

01:08:43.420 And

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01:08:43.940 Mentioned

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01:08:59.340 BBC

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01:09:37.120 Can

01:09:41.580 ready for the COVID segment? We're going to that here now too. Let's begin with Fauci.

01:09:48.300 Let's begin with Fauci, shall we? Actually, no, let's begin with Rochelle Walensky. Let's begin

01:09:53.080 with this. So it was immediately, this clip started going out online, started to catch on.

01:10:03.780 And Twitter immediately said, well, this has been taken out of context. Fact checkers have reported

01:10:09.960 that this interview with CDC director, Dr. Rochelle Walensky has been edited. We'll look

01:10:17.440 at the clip in a moment. There's no way to, it doesn't matter if it's edited or not. She

01:10:21.840 has a line where she says it, that whole, the whole thing is there. And there's no way to

01:10:28.400 take that out of context. It's an admission. She says about 75, and I think the CDC's actual

01:10:35.440 documents said 78% of people that had died, not of COVID, but with COVID had at least four

01:10:45.140 or more comorbidities. So let's listen to the clip and let's see how out of context this is.

01:10:50.440 And I think the only reason why they say it's edited is because someone has sliced a slight

01:10:56.460 part of the question right at the front of the clip where the, uh, the, the news, the teleprompt

01:11:02.720 reader at, uh, at ABC news reads a question and basically says, well, maybe we should, I forget

01:11:08.160 exactly what it is. Maybe we should start rethinking this pandemic and something like that. And then

01:11:12.140 they have the clip with, with Walensky outline laying this out. So let's listen to it. Listen

01:11:17.120 to this here. Time to start rethinking how we're living with this virus, that it's potentially

01:11:21.460 here to stay. The overwhelming number of deaths over 75% occurred in people who had at least four

01:11:28.140 comorbidities. So really these are people who were unwell to begin with. So really these are people

01:11:34.360 who were unwell to begin with. So really. Right. There's no way to take that out of it. There's

01:11:41.240 no way to spin that or take that out of context. Okay. 75% or more of the people who have died

01:11:47.600 with COVID-19 had four or more comorbidities. They were really unwell to begin with. Right.

01:11:53.960 So that's the, again, this is, I'm not sure why they're doing this, but all of a sudden they're

01:11:59.320 beginning to admit certain things, right? It's beginning to be exposed and revealed. And my

01:12:03.400 at least initial feeling about this is that the damage might be done. I'm not sure. I mean,

01:12:11.840 I don't know. They're conceding that this will be the buzz in the media and stuff while all

01:12:18.000 this other shit will happen in the background. Right. I'm not sure. It's very interesting. 0.99

01:12:25.760 But again, fact, everything always get fact immediately. As soon as there's something exposing

01:12:29.220 their agenda, it's revealing how they tricked the numbers or obfuscating something or what,

01:12:34.820 you know, the whitewashing, immediately the whitewashing, I should say, begins and they have 0.87

01:12:38.500 to cover for themselves. Now, well, it's, uh, it's taken out of context. That's totally not real.

01:12:43.100 Right. Sarah Hedge says to COVID survival rate for under twenties is 99.9987%. Stanford epidemiology

01:12:52.940 professor, uh, says from a study. Uh, and of course we've said that from not day one of the pandemic,

01:13:01.140 but, uh, as soon as, you know, springtime or so 2020, April, May, something like that,

01:13:06.700 when there was enough data and enough information. And when all these, you know, Chinese videos,

01:13:14.040 people healing, healing over and falling on their face had dried up and we'd like, we'd, well,

01:13:18.600 wait a minute. What's that didn't happen in our country. Why didn't that happen in our countries?

01:13:23.200 Doesn't even look like people are dying. These overflowing hospitals and stuff. No,

01:13:27.240 it's not even, doesn't seem to be a big deal. So for some reason, this is starting to come out.

01:13:32.820 For some reason, they're letting up on this. For some reason, Fauci is being targeted. For some

01:13:38.060 reason, they're allowing Fauci to be targeted. For some reason, they're dragging him again and again

01:13:43.580 before Congress. Now they're defending him, of course, still in the media. They're not throwing him

01:13:48.020 under the bus. I'm not trying to say that. That's where, you know, whoa, slow down. It's not that,

01:13:52.860 that's not that exciting yet here. Right. But the people on the other side here, they are beginning

01:13:59.140 to understand that this is a, this is a huge, huge show. And someone like Fauci has, has known

01:14:06.400 about a lot of things, a lot of things, right? Proof Fauci lied to Congress. The Children's Health

01:14:13.980 Defense website had here. And they're linking to a clip by the Veritas project. And I thought

01:14:19.700 we'd take a look at that because it's good. It goes into the gain of function thing that supposedly

01:14:29.680 DARPA or the Department of Defense in the, in the extension, if you go one, you know, one step

01:14:33.760 up from DARPA. They basically knew about, knew about this. It's the way that NIAID, I think

01:14:40.880 it has defined gain, gain of function. I forget if, if, if it altered or something, but it was

01:14:47.180 like, it's, it's a, it's a word trickery essentially. And that's what Fauci said all along too about

01:14:52.360 it. But this goes back and we can, we can mention that again, but this goes back to a document

01:14:56.980 that we covered back in September 21st. The Telegraph had a story about this too.

01:15:03.040 Wuhan scientists plan to release coronavirus particles into cat, cave bats, leaked papers

01:15:09.040 reveal. And that's not, I wouldn't have gone with that headline because there's more shocking

01:15:13.060 stuff in the document. And all of this refers to project defuse, right? That EcoHealth Alliance,

01:15:20.900 they approached DARPA. They wanted $14 million to essentially, as the article here from the

01:15:26.780 Telegraph goes into, if you scroll down and read a little bit, the new documents show that

01:15:32.300 just 18 months before the first COVID-19 case appeared, researchers had submitted plans to

01:15:37.620 release skin penetrating nanoparticles. Interesting. And aerosols containing novel chimeric spike proteins

01:15:46.780 of bat coronaviruses into cave bats in Wuhan, China. And of course, in the extension, we know that this

01:15:54.840 could also, this could also be released then to humans, right? Nanoparticles, skin penetrating nanoparticles.

01:16:03.780 They also plan to create chimeric viruses genetically enhanced to infect humans more easily. And they 0.83

01:16:09.860 requested $14 million from DARPA to fund their work. Now, apparently DARPA, at least officially

01:16:15.180 denied the request, but they went ahead and did it anyway, right? That's why they went to Wuhan.

01:16:20.840 That's why it all happened there first, et cetera, right? That's, that's what we think at this point.

01:16:26.160 But again, that means that they might have,

01:16:28.240 they might have access, which I think they moved ahead with. I think they did it. I think they have it

01:16:36.420 to skin penetrating nanoparticle size viruses, chimeric viruses that will infect humans more

01:16:42.400 easily, right? And I think in some, I mean, we don't know this, but I think in some parts

01:16:47.400 they have sprayed this up and they, and they've made people sick from this shit, 0.94

01:16:51.400 which is probably not at all the same as the COVID-19 or COVID-SARS-2 that we saw early on in 2020 0.99

01:16:59.500 being, you know, the, which the media says was the culprit for all this. So the authorities,

01:17:03.600 health authorities, right? But anyway, back to this video. So it's pertaining to that document.

01:17:08.520 And so the project Veritas got another verification, uh, essentially for that document,

01:17:13.500 because it was kind of denied first. It was like, ah, we don't, we don't even know if that's real.

01:17:18.200 And it doesn't seem, you know, it's just, that's it. Someone just made this up and, and just,

01:17:22.020 you know, it's just a big conspiracy. Uh, but anyway, according to, uh, project Veritas here in this,

01:17:27.620 and the access that they had to the document, uh, it might work very well, uh, be the real thing.

01:17:32.980 So let's, uh, play this here. Project Veritas has obtained never before seen military documents

01:17:39.080 regarding the origins of COVID-19, gain of function research, vaccines, potential treatments,

01:17:44.760 which have been suppressed, and the government's effort to conceal all of this. Dr. Anthony Fauci

01:17:50.820 has testified many times before Congress stating that the U.S. government was never involved in

01:17:56.100 gain of function research at the Wuhan Institute of Virology. Will you today finally take some

01:18:01.940 responsibility for funding gain of function research in Wuhan?

01:18:09.460 Senator, with all due respect, I disagree with so many of the things that you've said.

01:18:14.680 Gain, first of all, gain of function is a very nebulous term. But the thing is, is you're still

01:18:20.200 unwilling to admit that they gained in function when they say they became sicker. They gained in

01:18:24.940 lethality. It's a new virus. That's not gain of function? According to the definition that is

01:18:31.020 currently operable. We're not going to get anywhere close to trying to prevent another lab leak of

01:18:36.620 this dangerous sort of experiment. You won't admit that it's dangerous. And for that lack of judgment,

01:18:40.640 I think it's time that you resign. You have said that I am unwilling to take any responsibility for

01:18:45.920 the current pandemic. I have no responsibility for the current pandemic. That assertion is based on the

01:18:53.600 NIH's definition of gain of function. However, the documents we've obtained refute that. The documents in

01:19:00.320 question stem from a report at the Defense Advanced Research Projects Agency, better known as DARPA, which

01:19:07.120 were hidden in a top secret share drive. But what is DARPA? They are an agency under the U.S. Department of

01:19:14.000 Defense, which facilitates research and technology with potential military applications. Dr. Stephen Walker was the

01:19:21.300 director of DARPA at the time of the EcoHealth Alliance proposal. A source sent us this video

01:19:26.820 of Dr. Walker talking about research they were exploring related to mRNA technology and its potential

01:19:32.900 application with military personnel in the field. DARPA, about five or six years ago, we stood up an office

01:19:39.540 called the Biotechnology Office. And the real purpose of that was to understand how biology worked and then

01:19:47.300 build design, design, build and test cycles where you could engineer microorganisms to do things that

01:19:55.700 you want to do. Though the main report regarding the EcoHealth Alliance proposal leaked on the internet a

01:20:01.380 couple of months ago, it has remained unverified until now. Project Veritas has obtained a separate

01:20:08.260 report to the Inspector General of the Department of Defense written by the U.S. Marine Corps Major

01:20:13.620 Joseph Murphy, a former DARPA fellow. Major Murphy makes claims in his report to the Inspector General

01:20:20.180 that if true could be damning to the official narrative that has been played out to the world

01:20:24.740 over the past two years. Major Murphy's report states that EcoHealth Alliance approached DARPA in March 2018

01:20:31.860 seeking funding to conduct gain-of-function research of bat-borne coronaviruses. The proposal was named

01:20:38.100 Project Diffuse. DARPA rejected the proposal because the work was too dangerous and could violate the

01:20:43.540 gain-of-function moratorium despite EcoHealth's position that it would not. According to the

01:20:49.220 documents, the NIAID under the direction of Dr. Fauci did not reject the proposal. They went ahead

01:20:55.140 with the research at Wuhan and several sites across the U.S. Dr. Fauci has repeatedly maintained his

01:21:01.540 position under oath that the NIH and NIAID have not been involved in gain-of-function research with the

01:21:08.420 EcoHealth Alliance program. This appears to be contradictory to Major Murphy's analysis and the

01:21:14.420 rejection from the Biological Technologies Office at DARPA. Major Murphy's report goes on to detail

01:21:20.820 great concern over the COVID-19 gain-of-function program, the concealment of documents, the suppression

01:21:27.060 of potential curatives like ivermectin and hydroxychloroquine, and the mRNA vaccines. To be clear,

01:21:33.700 Major Murphy is not the source of our reporting. As far as we're aware, he has done nothing that

01:21:38.660 violates his oath of service to our country. We were able to track him down, and though he couldn't

01:21:43.700 go into detail about the hidden documents, he did offer this heartfelt statement. I offer no comments

01:21:49.860 on the investigation or internal Marine Corps deliberations. I offer a brief comment to those

01:21:55.140 that desire answers and to those that withhold them. To those seeking answers, I offer encouragement.

01:22:00.580 There are good people striving for the truth, working together in and out of government,

01:22:05.460 and they succeed. To those that withhold, I pray for you. Find the moral courage to come forward.

01:22:12.180 Don't let a lie be our legacy to posterity. People will forgive. A commitment to truth is in the heart

01:22:18.100 of this nation. Semper Fi. Project Veritas reached out to DARPA for comment regarding the hidden documents

01:22:24.500 and spoke with the chief of communications, Jared Adams. It doesn't sound normal to me, no. Like I said,

01:22:30.420 if something resides in a classified setting, then it should be appropriately marked. I'm not at all

01:22:36.340 familiar with unmarked documents that reside in a classified space, no. Like I said, that doesn't

01:22:43.540 doesn't sound like, I mean, it's not good practice to put unmarked materials in a classified space, but

01:22:54.180 there may be cause to because something is determined to be classified, but it wasn't originally

01:23:03.460 marked appropriately. I'd be happy, Robert, honestly, to investigate and talk to the people who would own

01:23:10.420 this document within the agency and ideally the, you know, the director of the biological

01:23:14.820 technologies office or the deputy director of that office and try to ascertain, you know,

01:23:19.860 why it was the case. So here's the question. If the Department of Defense, the same people who make

01:23:25.780 our nuclear arsenal, felt this research was too dangerous to proceed with, why in the world did the

01:23:32.100 NIH, NIAID, and EcoHealth Alliance recklessly disregard the risks involved? Did they purposefully

01:23:39.620 change the definition of gain of function in order to bypass the moratorium? Further, who at DARPA made

01:23:45.620 the decision to bury the original report that could have raised red flags to the Pentagon, the White

01:23:50.980 House, or Congress, which may have prevented this entire pandemic that has led to the deaths of 5.4

01:23:56.900 million people worldwide and caused much pain and suffering to many millions more?

01:24:01.300 All right. So, so of course, I mean, you could, you can get into details here about like, well,

01:24:09.380 did it really kill that many? And what about the obfuscation of the numbers and stuff? I mean,

01:24:12.820 there's a lot of questions there, but that's not the point, right? The point of this is just what,

01:24:17.060 what they knew, how much they knew, what they have been, what they've been scheming about and stuff.

01:24:21.540 So this is good that it comes out. I saw somebody in chat was like, and I, I, I feel you, you know,

01:24:26.180 it's like project vertas. Is it, is it controlled opposition? It's a, these are very good questions.

01:24:31.700 You have to ask this, right? Uh, this could be part of the same kind of overarching gay 0.97

01:24:35.220 op to get us focused on one thing over here, uh, while something else is happening. All of those

01:24:40.020 are valid questions. So I totally get you, but it's, but it's interesting at least on, at least on stage

01:24:45.460 one, let's at least, uh, uh, you know, ensure that someone is like Fauci is actually like

01:24:51.140 taken out of circulation. Will it change things? No problem. Probably not there. There's a million

01:24:55.540 other like him, right? But he's, he's a criminal. It would be a symbolic, important thing to get 1.00

01:24:59.460 someone like this. So it's been like a, a superhero essentially to, uh, to the progressives and the,

01:25:04.500 all the global homos out there that have, that have done this to us right from the, from the lockdowns 1.00

01:25:08.580 to the masking, to like the, the suicides and the drug abuse in the wake of, of the new COVID

01:25:15.300 era and stuff like that. Right. These people have, uh, they have blood on their hands and they've

01:25:20.340 countless, you know, businesses has gone under and stuff. I mean, a lot of damage and we need

01:25:24.740 someone to pay for this. And a Fauci is a good way, a good place to stop. I mean, I'm talking to

01:25:30.420 do the proper procedures here, uh, begin with the fact that he's lied in front of Congress and put

01:25:36.020 him in jail for that, begin there and then do like criminal investigations and stuff. And we'll get to

01:25:40.340 that with the batch numbers too. I'm not saying that Fauci is behind that, but someone at these

01:25:44.580 pharmaceutical companies, they know shit. Someone somewhere there, they know shit because 1.00

01:25:49.540 otherwise it would be, it's mathematically, statistically impossible. I better move along 0.99

01:25:53.780 here too, because when you get to that, that's a, that's a long segment. But speaking to the,

01:25:58.100 the filing thing that he talks about is bullshit. The guy he calls up there, I forget what was his 0.98

01:26:02.020 name again? Adams something. Yeah. Jared Adams, chief of communications at DARPA.

01:26:07.860 Uh, you know, there's not the proper, we wouldn't be filed like that. It's called compartmentalization,

01:26:13.380 right? There's black ops program running. There's even a black budget. These things would be,

01:26:17.300 not be handled out in the open. The documents we can get across, get great. You do, you know,

01:26:24.020 do that. That's, that's great. Right. Let's get access to that. Let's like expose what we can,

01:26:28.820 but there's a whole world here of individuals and people and groups and projects and experiments and

01:26:34.340 tests happening that we don't even know exists. Okay. That's how they run things. Uh, it's enough.

01:26:39.700 What's in front of our faces is incriminating enough. So don't get me wrong. We can begin

01:26:44.820 there. Let's work with that. But this is part of a, of a systemic, um, corruption issue at the

01:26:51.620 very root of elitist and global homos that want to depopulate our world because they want to have 1.00

01:26:56.580 it for themselves. They want to go travel around in their yachts with swimming pools on it or five

01:27:02.420 swimming pools on it. Um, and, and, and have the world for themselves. They want to, they don't want to

01:27:07.380 see people around. They don't want to see, uh, developments. They don't want to see farms and

01:27:11.460 stuff. You know, they would just want to, they want to stroll around and have the earth as their

01:27:15.860 own playground. And that's where we're going anyway, but still important video. Yes. I have

01:27:20.420 questions about this, right? But I was just trying to find the biological technologies offices and stuff.

01:27:25.140 The, the director, let me say is currently Bradley ring ring reason. They don't even have a wiki

01:27:31.860 entry for that guy. The previous one was Dr. Jeffrey Ling. You know, it's interesting with all the,

01:27:38.180 the, the CCP and I'm not saying the CCP is behind that. They're a proxy of course, as we know about

01:27:42.900 this guy was a previous head of the, uh, biological technologies offices that they talk about. The one

01:27:48.660 before that, let me see if I can find him real quick. Uh, Dr. Bradley Ringenson, uh, he was named that

01:27:56.420 in 2019. So he's kind of a new guy coming in. I was thinking about Regina E. Dugan first. We've

01:28:00.980 talked about her in the past. She went to go work for Google and stuff. She came out of the DARPA world.

01:28:06.980 Now she's working. Uh, she's the CEO of welcome leap, which is a, that's a whole nother thing too,

01:28:13.060 by the way, we haven't even talked about that. We've talked about the welcome trust and the welcome

01:28:16.020 group in the past. Uh, let me just see here if I can find a link to that guy real quick here. Dr.

01:28:22.740 Bradley Ringison. I've never even seen this guy before, but this is, uh, at least I found a link

01:28:29.380 there. I guess we can pull that up real quick. This is the guy that they, I guess, are going to

01:28:33.380 approach them and, uh, and ask about the, the, these documents, this guy right here, uh, DARPA as

01:28:40.420 deputy director of BTO, right? That biological, um, uh, technologies office at DARPA. Anyway, this is

01:28:49.460 not the point, but, uh, could be good, good to know. So yeah, project diffuse. We've talked about

01:28:57.060 this back in September. We did a whole show on it then, or at least part of the show, the latter

01:29:01.380 part of the show, uh, September 22nd, 2021, uh, dedicated to that topic. Uh, but it's good that

01:29:09.140 they're getting another confirmation and part of course, of the, uh, of the documents here, as you

01:29:14.260 saw, uh, says SARS-CoV-2 is an American created recombinant bat vaccine, which is interesting about

01:29:21.620 they don't say virus. They say it's a recombinant bat vaccine or it's per, uh, precursor virus. It was

01:29:27.540 created by an eco health Alliance program at the one Institute of Virology as suggested by the

01:29:32.900 reporting surrounding the lab leak hypothesis. The details of this program have been concealed since

01:29:37.860 the pandemic began. These details can be found in the eco health Alliance proposal response to the

01:29:43.300 DARPA preempt program, broad agency announcement dated March, 2018 document, not yet publicly

01:29:50.500 disclosed, but of course, here is the, uh, link to that project, uh, defuse, right? That's what

01:29:55.620 they're talking about. Then they talk about the vaccine, uh, the gene encoded or mRNA vaccine work,

01:30:01.460 uh, vaccines work poorly, for example, right in the bottom half. That's, that's kind of,

01:30:05.860 that's kind of big, right? They're like admitting that. And then they're even saying at the top,

01:30:09.140 well, uh, ivermectin has been identified as a curative in April, 2020, uh, hydroxychloroquine,

01:30:14.500 April, uh, 2020. Uh, so this is, this is, this is not a big surprise, uh, but it is kind of

01:30:21.300 interesting. It's confirming what like people, uh, on the internet had for the, uh, longest time.

01:30:26.180 Not a big surprise right there. Uh, here's another document never before, uh, released

01:30:31.300 emails showing Dr. Fauci may have concealed information about COVID-19 originating

01:30:34.900 originating from the Wuhan lab and intentionally downplayed the lab leak theories. This is from

01:30:40.420 the oversight committee, uh, the Republicans oversight committee. Uh, I'm not going to go

01:30:44.980 through the entire letter right now, but it's essentially more of the same. And we know he

01:30:49.220 knew he knows that there's people who knows that he knew, and he just continues as usual. And he lies.

01:30:53.700 And in fact, it was recently, uh, again, hauled in front of Congress. And I think we can take a look

01:30:57.780 at that now. This is a good clip to watch. It's a bit longer. So I might cut it short because we have

01:31:01.300 to get to the, uh, the, uh, the, the, the COVID jab locked, uh, uh, uh, numbers and, and, and the

01:31:07.860 criminal intent that that's beginning to reveal itself now. And that that's clear, but let's play

01:31:12.340 a little bit of this. Uh, you might enjoy it. This is a Rand Paul, uh, putting, uh, putting, uh,

01:31:17.540 Fauci in his, in his place. Dr. Fauci, the idea that a government official like yourself would claim

01:31:24.180 unilaterally unilaterally to represent science, that any criticism of you would be considered a criticism

01:31:30.500 of science itself is quite dangerous. Central planning, whether it be of the economy or of

01:31:36.260 science is risky because of the fallibility of the planner. It would not be so catastrophic

01:31:41.460 if the planner were simply one physician in Peoria, then the mistakes would only affect

01:31:46.900 that physician's patients, the people who chose that physician. But when the planner is a government

01:31:52.580 official like yourself, who rules by mandate, the errors are compounded and become much more harmful.

01:31:59.060 A planner who believes he is the science leads to an arrogance that justifies in his mind using

01:32:05.860 government resources to smear and to destroy the reputations of other scientists who disagree

01:32:11.380 with him. In an email exchange with Dr. Collins, you conspire, and I quote here directly from the email,

01:32:18.100 to create a quick and devastating published takedown of three prominent epidemiologists

01:32:23.780 from Harvard, Oxford, and Stanford. Apparently there's a lot of fringe epidemiologists at Harvard,

01:32:30.900 Oxford, and Stanford. And you quote in the email that they, or from Dr. Collins, and you agree that they

01:32:38.180 are fringe. And immediately there's this takedown effort. A published takedown, though, you know, doesn't

01:32:43.060 exactly conjure up the image of a dispassionate scientist. Instead of engaging them on the merits,

01:32:48.980 you and Dr. Collins sought to smear them as fringe and take them down. And not in journals, in lay

01:32:55.460 press. This is not only antithetical to the scientific method, it's the epitome of cheap politics. And it's

01:33:01.540 reprehensible, Dr. Fauci. Do you really think it's appropriate to use your $420,000 salary to attack

01:33:08.980 scientists that disagree with you? The email you're referring to was an email of Dr. Collins to me.

01:33:20.100 If you look at the email that you responded to and hurried up and said, I can do it. I can do it. We

01:33:24.740 got something in Wired magazine. No, no, no. I think in usual fashion,

01:33:29.300 Senator, you are distorting everything about me. Did you ever object to Dr. Collins's

01:33:34.500 characterization of them as fringe? Did you write back to Dr. Collins and say, no, they're not fringe.

01:33:38.340 They're esteemed scientists. And it would be beneath me. I did not do that. You responded

01:33:42.900 to him that you would do it. And you immediately got an article in Wired and you sent it back to him

01:33:47.380 and said, hey, look, I've got them. I nailed them in Wired of all scientific publications.

01:33:50.820 That's not what went on. There you go again. You just do the same thing every hearing.

01:33:55.460 That was your response. And this wasn't the only time. So your desire to take down people.

01:34:01.060 You're absolutely incorrect. Get them, Miranda.

01:34:02.820 Senator, you are incorrect. Almost everything you say.

01:34:05.220 Well, no, you deny. You deny. But the emails tell the truth of this. No.

01:34:09.620 This wasn't the only time. Your desire to take down those who disagree with you didn't

01:34:13.460 stop with Harvard, Oxford and Stanford. You conspired with Peter Daszak, who you communicated

01:34:18.260 with privately. That's true. And other members of the scientific community that wrote opinion

01:34:22.900 pieces for nature. Five of them signed a paper for nature, an opinion piece. 17 signed a paper

01:34:29.220 that called it conspiracy theory. The idea that the virus could have originated in the lab.

01:34:34.740 Do you think words like? Of course they did because they had to cover their tracks,

01:34:38.660 at least until this point. Now it's I mean, it's basically coming out now. But you know,

01:34:43.060 this is good. Spiracy theory should be in a scientific paper.

01:34:48.100 Senator, I never used that word when I was referring to it. You're distorting virtually everything.

01:34:54.900 Did you communicate with the five scientists who wrote the opinion piece in nature where they

01:35:00.260 were describing, oh, there's no way this could have come from the lab? That was not me.

01:35:04.740 What I did. Did you talk with any of those scientists privately?

01:35:07.060 See, but you keep distorting the truth. Did you?

01:35:09.700 Did you just answer the question, you scumbag? 1.00

01:35:11.940 How did you talk to any of the scientists privately? Yes. 1.00

01:35:15.220 Who wrote the opinion? You did. What were they telling you privately?

01:35:18.500 Well, let me explain. You know, you're going back to that original discussion when I brought

01:35:23.300 together a group of people to look at every possibility with an open mind. So not only

01:35:30.020 you distorting it, you were completely turning it around as most of the scientists that came

01:35:35.300 to you privately. Did they come to you privately and say no way this came from the lab? Or was

01:35:39.780 their initial impression, Dr. Gary and others that were involved, was their initial impression,

01:35:44.740 actually, that it looked very suspicious for a virus that came from a lab?

01:35:48.260 Senator, we are here at a committee to look at a virus now that has killed almost 900,000

01:35:56.980 people. And the purpose of the committee was to try and get things out, how we can help to get

01:36:03.540 the American public. And you will maybe getting to the root of who's responsible would kind of kind

01:36:10.020 of solve some issues here. And maybe we can then go after and consequently fix the issue and the damage

01:36:15.700 that has been done. Notice how he changes, going into something else and obfuscating,

01:36:20.660 going in a different direction. Bastard keep coming back to personal attacks on me that have 0.87

01:36:26.820 absolutely no relevance to reality. Do you think anybody has had an attack on me is an attack on

01:36:32.740 science? Remember that? He said that in the beginning around to brought that up and more

01:36:35.700 influence over this than you have. Do you think it's a great success? Do you think it's a great success?

01:36:40.900 What's happened so far? Do you think lockdowns are good for our kids? Do you think we slowed down the

01:36:45.780 death rate? More people have died now under President Biden than did under President Trump.

01:36:49.860 You are the one responsible. You are the architect. You are the lead architect for the response from

01:36:54.180 the government. And now 800,000 people have died. Do you think it's a winning success,

01:36:59.540 what you've advocated for government? Senator, first of all, if you look at everything that I said,

01:37:06.020 you accuse me of, in a monolithic way, telling people what they need to do. Everything that I've

01:37:12.980 said has been in support of the CDC guidelines. Wear a mask. Get boosted. And you've advocated to make

01:37:21.540 it coercive. Take a look at everything that I said. You've advocated to be done by mandate.

01:37:26.020 But you've advocated that your infallible opinion be dictated by law. Right. So again,

01:37:32.420 Madam Chair, I would like just a couple of minutes because this this happens all the time. 0.99

01:37:37.220 You personally attack me and with absolutely not a shred of evidence. Oh, I'm sorry, guy who's just

01:37:44.660 had a finger in the whole fucking thing to begin with. Right. It's just amazing. Right. Again, 0.99

01:37:50.180 there's nothing really to do with the severity of the virus and stuff. It's just using this as an

01:37:54.820 excuse. Right. Again, it's is it a bioweapon? Yeah, most likely. Is it that deadly? No,

01:37:59.300 at least not yet. But I think, again, it was the cure, the cure for this supposed virus. Right.

01:38:07.060 That that is that is the true killer, the true bioweapon. Right. It's very clever. It's very

01:38:11.780 smart. Maybe even maybe even part of this. Maybe it's so smart that even the acid as it goes or

01:38:17.460 evolves or it works together with the vaccine. We don't we don't even know that it's too early to

01:38:22.100 tell. We don't know how that's going to go. And yes, this is a little bit of a show and whatever.

01:38:26.740 And this is, as I've said before, many times like the this is kind of what's in the front.

01:38:30.900 Right. There's a lot of interesting interesting things happening in the background of this at

01:38:34.660 the same time. But I still think it's just it's just really nice to see this bastard nail on some 0.96

01:38:42.020 of these issues because he's been such a scumbag. Right. He's been the face of like of the science 1.00

01:38:48.420 for this and trust us and what I'm saying goes and stuff. He's been like a little like a little

01:38:53.620 dictator, a little tyrant, this guy. I'd love to see him go. I'd love to see him get fired. I'd love 0.90

01:38:58.900 to see him, of course, go to prison for lying for Congress. Let's begin there. But no, there needs

01:39:03.140 to be a real investigation into this. These guys have covered shit up and they're responsible and 0.96

01:39:07.700 they need to. And we need someone at least to begin somewhere. We need someone to be responsible. And 0.98

01:39:14.580 I think this is this is a good place to start. Is it is it the is is he the guy? No, of course not.

01:39:20.500 He's a front man. He's a PR man and stuff. And so that makes this a little bit of a theater. But I do

01:39:25.140 admit, nonetheless, I kind of enjoy it. So let's continue. This is the ending is great, too. He's

01:39:30.500 like, I'm getting death threats. It's hilarious of anything you say. So I would like to make something

01:39:37.220 clear to the committee. He's doing this for political reasons. What you need to do is he

01:39:43.220 said in front of this committee, you think your takedown of I was prominent epidemiologists was

01:39:48.020 not political. You don't want me to finish. You know what I'm going to say. That was the question

01:39:52.020 of political and taking down these three prominent MTV epidemiology. Paul, if you would please,

01:39:58.100 I'm going to allow this Dr. Fauci to respond. We have a number of senators who would like to ask

01:40:03.780 questions and I would like him to be able to respond. Please do. So the last time we had a

01:40:08.980 committee of the time before, he was accusing me of being responsible for the death of five,

01:40:14.340 four to five million people, which is really irresponsible. And I say, why is he doing that?

01:40:20.340 There are two reasons why that's really bad. The first is it distracts from what we're all trying

01:40:27.300 to do here today is get our arms around the epidemic and the pandemic that we're dealing with.

01:40:33.780 Not something imaginary. Number two, what happens when he gets out and accuses me of things that are

01:40:41.780 completely untrue is that all of a sudden that kindles the crazies out there.

01:40:47.380 Here we go. And I have life that threats upon my life.

01:40:51.060 Oh, no. After after everything you've done, after everything that you've,

01:40:55.620 you know, just bowed down to, he tries to hit it on. Well, it's just CDC guidelines.

01:41:01.380 That's all I'm doing. Right. He's a chief advisor to the president on the COVID

01:41:05.220 bullshit. Right. This guy, he's literally the face of the, if there's anybody responsible, 0.99

01:41:09.860 it is this guy. I mean, again, he's not the origin or the, you know, the pinpoint of this,

01:41:14.900 but he's been the face of the, of the coverup and stuff like that.

01:41:19.140 I'm seeing some of you guys talking about, you know, the lab leak theory and stuff in the,

01:41:22.740 the, uh, in the chat. And it's, again, it's not, it's not that it's like this would be solved and

01:41:28.340 over if it's like, Oh, well that confirms that it's, it was a lab leak or something like that.

01:41:32.820 Um, it's not the, it's not the end point of this, right? It ties into such a larger picture of,

01:41:38.980 of the whole goddamn thing that's been happening since this supposed virus was released, whether 0.92

01:41:44.020 it's, you know, engineered or when it was created or where exactly was released first and stuff like 0.98

01:41:49.540 that, it's been used as the excuse, right? It's been used as the reason for why they need to do

01:41:54.500 all the things that they've consequently done, which is now the reason why you go to a grocery

01:41:58.420 store, you can't find any food, right? So, so the point is we need someone guilty and this guy would

01:42:03.540 be great to see, uh, tied to it. But again, he thinks he thinks he brings up the guy, the Asian guy,

01:42:09.700 remember we covered it at the time, um, who imagine if that would have been a white guy, right? 0.99

01:42:15.300 It would have been a shit storm in the mainstream media about this white terrorist and stuff because 0.99

01:42:20.660 it was Asian. It was basically, it was covered. Yes. For a day or so, but then he just went away 1.00

01:42:24.580 and no one even knows who this guy is. They don't, no one could tell you his name. If that was a white

01:42:28.420 guy doing this, holy shit, it would be everywhere continuously for months on end, right? But he 0.99

01:42:34.180 mentions it. Listen to this here.

01:42:35.220 Harassments of my family and my children with obscene phone calls because people are lying about

01:42:43.860 me. Now, you know, I guess you could say, well, that's the way it goes. I can take the hit. Well,

01:42:49.780 it makes a difference because as some of you may know, just about three or four weeks ago on December

01:42:57.540 21st, a person was arrested who was on their way from Sacramento to Washington DC at a speed stop in

01:43:06.260 Iowa. And they asked, the police asked him where he was going and he was going to Washington DC to

01:43:13.700 kill Dr. Fauci. I love it when they talk about themselves in third person too. He was gonna go

01:43:19.700 and kill Dr. Fauci because Dr. Fauci is not the same as Tony Fauci, but that's a different story.

01:43:26.180 And they found in his car an AR-15 and multiple magazines of ammunition. 0.99

01:43:33.540 Totally not a gay. Actually, in fact, I take that back. If it was a gay op, it would have been all 1.00

01:43:37.220 over the news. It probably wasn't. It was probably literally just a kind of a loony guy who just

01:43:43.540 fucking had enough of it. I wouldn't be surprised. But you know, if it was a gay op, it would be all 1.00

01:43:47.540 over the place. And it wasn't. So that's kind of the take there. But I think he goes in and shows

01:43:54.100 the screenshots from Rand Paul's site too. Look at this. Because he thinks that maybe I'm killing

01:44:00.660 people. So I ask myself, why would Senator want to do this? So go to... He's basically saying,

01:44:08.420 why would the Senator want to kill me? That's what I say. What in the world could be the reason why he

01:44:13.460 wants people to murder Dr. Fauci? Rand Paul's website. And you see fire Dr. Fauci with a little

01:44:21.220 box that says, contribute here. You can do $5, $10, $20, $100. So you are making a catastrophic...

01:44:31.380 Are you trying to say that someone is... You are literally the highest paid federal employee. You've

01:44:36.900 been there since 1985 or some shit like that. You're literally like grown ancient in this position. 0.98

01:44:43.380 And you've fucked over so many people, right? From the AIDS fraud to this fraud to all the other 0.99

01:44:48.900 things that deep pockets that you share together with the big pharma industry and stuff. He's trying

01:44:54.740 to claim that because Rand Paul raised a couple of bucks on his website. That's the problem.

01:45:00.660 It's amazing. Take a look in the mirror, dude.

01:45:02.740 ...epidemic for your political gain. You have politically attacked your colleagues

01:45:09.140 and in a politically reprehensible way attacked their reputations. You won't defend it. You

01:45:14.100 won't argue it. You'll just simply turn around the attack. We're going to continue this hearing.

01:45:17.700 We have a number of questions from another Senator. Just one more minute, please.

01:45:21.700 Dr. Fauci, I really appreciate your response, but we do have a number of questions from senators,

01:45:26.980 and we do have a second round, and I'm being asked to make sure that everybody has their...

01:45:30.740 Anyway, they wrapped that particular portion of it up there. It's... I mean, it's hilarious,

01:45:34.820 right? But then, of course, the media was right over it.

01:45:36.900 U.S. Senator Rand Paul driving violent threats against me, Fauci says.

01:45:44.340 Spreading misinformation that has sparked threats against him and his fam. Oh, my God. Poor guy. I

01:45:49.780 can't believe it. What in the world would someone be mad with you for, right?

01:45:53.780 Uh, yeah, this is just the same portion there of the, uh, uh, of him showing the screenshot,

01:45:59.300 but it's funny that fire. That's a, I mean, that's an instant meme right there. Him holding

01:46:03.220 that fire. Dr. Fauci. That's, that's fucking great. We got that. Uh, that is incredible.

01:46:08.980 If nothing else, it was, it was all worth it just for that one screenshot right there.

01:46:12.980 Okay. Uh, let me see what else we have. This is another, uh, this is Roger Marshall's is

01:46:17.700 another, uh, is he a congressman or senator? I forget what he is, but, uh, um, let me see here.

01:46:24.580 What is it? Yeah. Senator Roger Marshall talking about his finances and the same thing happens

01:46:32.020 there. He goes into a hippie fit and stuff. And even he, uh, he says right at the end,

01:46:36.740 it's kind of like a hot mic moment. Almost he says, uh, what a moron, Jesus Christ. But they 1.00

01:46:42.100 talk a bit about in the beginning about this. Now, I mean, it, it is public record, his financial finances,

01:46:47.300 even actually a zero hedge, um, had a linked this up, uh, which is, uh, Fauci disclosure.

01:46:55.460 It's on document cloud executive branch, personal public finance disclosure report. Uh, but the

01:47:01.300 point that the, the senator is making there is that it's hard to find it. It's not easily accessible.

01:47:06.180 And even apparently sometimes when it's shared, uh, on, uh, social media and stuff, it's, it has been

01:47:12.020 taken down in the past. Anyway, let's listen to this little, uh, run in here. It's funny.

01:47:15.940 Dr. Fauci, according to Forbes, and he's pointing of course, to the money, right? All the,

01:47:20.740 and this is not just, this is not even taken into the account of the money. I believe on the back

01:47:28.100 end, right? The donations, the kickbacks, the gifts, uh, the, the, the tying with big pharma,

01:47:33.220 he's on certain, you know, I think he's, he's, I mean, these people have made incredible amount of

01:47:38.020 money, right? He's not part of the, that superclass. It's like heading towards trail trillionaire level.

01:47:42.580 Now, like the Bezos and the Musks and stuff like that, uh, that like triple their wealth

01:47:46.900 or even quadrupled it. Uh, but he's still up to up there. He's very well paid, very, very well paid.

01:47:52.900 And he greases his, uh, wheels and pockets at, at every turn, this guy. So it's, it's absolutely,

01:47:57.460 uh, not off base to, uh, to push him on this.

01:48:00.420 You have an annual salary in 2020 was $434,000. You oversee over $5 billion in federal research

01:48:10.260 grants. As the highest paid employee in the entire federal government, yes or no,

01:48:16.180 would you be willing to submit to Congress and the public a financial disclosure that

01:48:20.500 includes your past and current investments? After all, your colleague, Dr. Walensky,

01:48:24.900 and every member of Congress submits a financial disclosure that includes their investments.

01:48:39.780 I don't understand why you're asking me that question. My financial disclosure

01:48:44.340 is public knowledge and has been so for the last 37 years or so, 35 years that I've been directed.

01:48:51.140 The big tech giants are doing an incredible job of keeping it from being public. Uh,

01:48:55.780 we'll continue to look for it. Where would we find it?

01:48:58.980 All you have to do is ask for it.

01:49:02.260 You're so misinformed. It's extraordinary.

01:49:04.100 Why am I, why am I misinformed?

01:49:05.700 From whom? Just tell us the website where it is and where we can find it then.

01:49:08.660 It's a huge issue. Wouldn't you agree with me that, that you have a, you see things before

01:49:15.060 members of Congress would see them so that there's a, an air of appearance that,

01:49:19.060 that, that maybe some shenanigans are going on. You know, I don't think that's,

01:49:22.660 I assume that that's not the case. Senator, what are you talking about?

01:49:25.460 It's not the case. My, my financial disclosures are public knowledge and have been so. You are

01:49:32.580 getting amazingly wrong information. So, uh, I, I cannot find them. Our office cannot find them.

01:49:39.220 Where would they be at their public knowledge? Where? It is totally accessible to you if you want it.

01:49:45.220 For the public, is it accessible to the, where? Where would you find it then? Look at that,

01:49:49.860 to the public. Can the public find it? For the public, is it accessible to the public?

01:49:53.780 To the public. Right, we look forward to reviewing it. You are totally incorrect.

01:49:58.500 Why? Because the public are not allowed to see your financial reports.

01:50:03.140 Listen at the end there.

01:50:03.860 We're forward to reviewing it. Senator Marshall, Dr. Fauci has answered you. It is

01:50:07.940 public information and he's happy to give it to you if you would ask.

01:50:11.460 It's right at the end. Do you guys hear it there? Incorrect. Well,

01:50:16.180 we look forward to reviewing it. Senator Marshall, Dr. Fauci has answered you. It is

01:50:20.500 public information and he's happy to give it to you if you would ask.

01:50:25.060 Did that clip not include it? Right at the end, it says, Jesus, what a moron. It's, I think, 1.00

01:50:30.340 did he cut it short? Because this is Rupar, right? Yeah, that's Rupar, so he cut that short.

01:50:35.060 Do I have it here? Here it is. Here it is. Right, listen to this. Here it is. Yeah,

01:50:37.620 of course he cut that out. What a bastard that guy is. It's like, every time he tweets, 1.00

01:50:41.380 it's like trending. Aaron Rupar, dipshit. Anyway, let's listen to that again. 1.00

01:50:44.820 We look forward to reviewing it. You are totally incorrect.

01:50:47.540 We look forward to reviewing it. Senator Marshall, Dr. Fauci has answered you. It is

01:50:52.100 public information and he's happy to give it to you if you would ask. Senator Moran.

01:50:56.900 What a moron. Jesus Christ. There it is. Of course he cut it out. What a moron. Jesus Christ. 1.00

01:51:05.700 He's lied in front of Congress. He's lied about this. He knows a bunch of stuff, right?

01:51:09.940 Oh, poor me. Poor me. I'm having death threats made against me. People don't like me.

01:51:18.740 I'm just on Time Magazine doing photo shoots while making money on this shit, right? Look at this. 0.99

01:51:24.980 And they love him. He's a superstar of the liberal progressive global homos. They love this guy. 1.00

01:51:30.580 He's America's doctor now, right? And of course, the scaremongering by this guy continues, right?

01:51:37.140 Here's CNN. Highly contagious Omicron variant will, quote, find just about everybody, Fauci says,

01:51:44.420 but vaccinated people will still fare better. That's right. Get the jab, get the damn death shot, 0.79

01:51:49.940 get the clot shot, because that's what's going to save you. The business of this man is lies and obfuscations 1.00

01:51:56.340 and carrying the water for big pharma. That's what it is, right? He's part of the regulatory capture

01:52:02.380 that we've talked about so many times, right? I don't normally, I mean, you can have your complaints,

01:52:06.940 and you should, of these guys from Rand Paul to this other senator to, which is now DeSantis here, right?

01:52:15.060 But this was kind of funny. I'll give him that. And he has been good. I mean, DeSantis has been decent

01:52:22.780 on the lockdown stuff, and mostly there's some other bullshit happening, though, with the, what was it,

01:52:28.440 the Florida still passed something, where they are allowed to forcefully vaccinate you or something 0.65

01:52:33.000 like that. So this could very well be just a surface show. And the same thing that is slated to happen

01:52:38.740 in the New York state, in Washington state and stuff, might very well come to the Floridas and

01:52:44.760 some of these other red states. But anyway, I still enjoy this one comment. Check this out here.

01:52:49.400 Because sometimes people ask me, oh man, how come Florida, 84,000 jobs, the rest of the country,

01:52:54.760 you know, what could be done to help the rest of the country? And I say, well, you know, the saying

01:52:58.540 that I always think back, and it's a little bit of a flourish on how it's been used previously,

01:53:02.780 but a recession is when your neighbor loses his job. A depression is when you lose yours.

01:53:07.880 A recovery is when Dr. Fauci loses his.

01:53:16.760 All right, that's pretty good. I do kind of like that, though. So he gets a point for that.

01:53:22.060 All right, so a couple of things here, almost at our locked segment here. Very important, of course.

01:53:30.140 Here's the Moderna CEO on Omicron-specific boosters. Before we get to that, again, back to this point

01:53:35.180 that this will, they will continue to push this. They're going to continue to say that the best way

01:53:39.420 for you to, best way forward is to do new type of vaccines, new series. That's what the Pfizer CEO

01:53:48.620 called it. A new series of vaccines, not only like boosters, but like one, two, and then the boosters

01:53:54.400 to supposed to be Omicron-specific, which is like, again, right in the open, admitted this is not

01:54:01.400 a big problem, less hospitalizations. It's not as severe. What in the world is going on? And people

01:54:07.380 who believe this are just brain dead. But listen to the Moderna CEO, Stefan Bancel here, selling you 0.82

01:54:13.640 this crap. We are very pleased that the efficacy of our vaccine holds very well against Omicron for 0.97

01:54:20.460 people that got their third dose. And so I would really encourage anybody who has not gotten their

01:54:25.380 third dose or has friends or family who only got two doses or, God forbid, have not been vaccinated

01:54:31.120 to get protected because the real-world evidence data, like the data published weekly by the UK,

01:54:37.180 shows that there is very strong protection. And that's a piece.

01:54:41.020 Uh, no, that's a complete garbage. 0.98

01:54:44.400 That gives us a lot of hope. You know, we have been very privileged in 2021 to help hundreds of 0.95

01:54:50.020 millions of people. You know, we shipped 807 million doses around the world. We're very pleased

01:54:55.580 that... Holy shit. That's incredible. 1.00

01:54:57.580 Around 25% of those doses have been supplied to low-income and middle-income countries. And this

01:55:03.940 morning we reported that our sales are going to be around, you know, $17.5 billion. They, of course,

01:55:08.700 have to be full. They might know, by the way, they might know exactly what they're shipping

01:55:16.020 where. And this will all make sense as we'll get soon here to the next portion. But just

01:55:23.220 keep that in mind of some of those things that he mentions there of like, well, we've sent

01:55:26.440 these vaccines here and stuff and it could be... Anyway, I'm getting out of myself. Let's

01:55:31.340 keep listening to this guy. Because the interviewer comes in here and asks, well, what should we,

01:55:34.760 you know, what should we do? I love when they go to these CEOs that literally have billions

01:55:39.400 of dollars in profits to gain from selling more vaccines. And these people are asking

01:55:44.840 them like they're the authority, like they're the ones who should be telling us what we should

01:55:48.500 do. Oh, I think five more boosters and a new round of series altogether specific for the

01:55:54.800 Necronomicon variant would be the best thing at this point for everybody.

01:55:58.640 audited in the coming weeks. And so do you expect that at some point this year,

01:56:05.340 the decision will be made to have to update the vaccines? At what point will we know how

01:56:10.680 frequently we're going to need another dose? What does the future look like?

01:56:13.920 When are we going to need another dose, CEO of Moderna? When are we going to need to take

01:56:19.400 your product, sir? As much as you can tell.

01:56:22.100 Sure. So again, with biology and this virus, we all want to be very humble. As you know,

01:56:27.460 we're working very actively on an Omicron-specific vaccine as a booster. 0.98

01:56:33.400 Garbage.

01:56:33.800 That should be in the clinic very soon. And we are discussing with public health leaders 0.96

01:56:38.600 around the world to decide what do we think is the best strategy for a potential booster

01:56:45.100 for the fall of 2022. We believe it will contain Omicron mRNAs. But do we need to add any other

01:56:53.980 components that has to be discussed? Because we need to be careful to try to stay ahead of a virus

01:56:59.880 and not behind the virus. What is interesting, Meg, is if you look at governments around the world

01:57:05.900 who are very much looking into 2022, you know, on an earning call on November 4th,

01:57:13.380 we say that our signed APAs were $17 billion, that we had options for up to $3 billion. And we're

01:57:21.860 reporting this morning at JP Morgan that we are increasing those expectations because countries

01:57:27.100 have been placing a lot of orders. Our signed APAs with upfront payments are now for $18.5 billion.

01:57:34.600 Recently, the UK, Switzerland, you know, South Korea have ordered for the fall of 2022. And now

01:57:41.580 the options have been increased from $3 billion back in November to $3.5 billion. And there are

01:57:47.520 discussions ongoing on a daily basis with a lot of countries who want to be ready with the best

01:57:53.500 product possible for the fall of 2022. And as you know, the real world evidence data has really shown

01:57:59.940 very strongly. And you see it in all the OECD country where it's really, you know, mRNA vaccines

01:58:05.980 being used, that the Moderna vaccine show a very strong duration of efficacy. And that's really

01:58:11.860 important to protect people.

01:58:13.660 Complete nonsense. Absolute garbage. But of course, they'll keep pushing this. 1.00

01:58:18.560 They'll keep pushing this. It's unbelievable, if you ask me. Thank you, Robo. Thanks for the link.

01:58:27.880 Black Phillips says, Henrik, you mentioned all these policymakers are not elected, but have

01:58:31.700 tremendous power over us. I wonder how hard it would be for our guys within quotations to

01:58:38.260 infiltrate something like the World Economic Forum over decades to subvert it. That should have

01:58:44.780 happened 10 years ago, at least, obviously, 15 years ago. But unfortunately, we're always playing

01:58:51.840 one step behind. I think it's too late for that. I think some of these, I mean, will the World

01:58:57.140 Economic Forum be there after 2030? Yeah, I mean, it is possible, of course. I'm not saying

01:59:03.020 don't do it. It would be interesting, if nothing else, for maybe the crumbs that you can get out

01:59:08.340 before it collapses or falls apart. I mean, again, these are just, these were, I think all these

01:59:12.980 things will just hand over the baton. You won't see like a clear line from, you know, running through

01:59:19.180 all of this. They just, they, it's one group organization or political party or something

01:59:25.880 that like hands over the baton to something else and then they take over. The World Economic

01:59:29.800 Forum really didn't have a, that of a super public, at least, role until, I think, not even

01:59:40.500 10 years ago. They were like this. They were just in the back rub. They have really stepped

01:59:44.500 to the forefront after the scamdemic kind of became, became known, right? So maybe it's worth

01:59:52.500 it, but I wouldn't, I would, I would assume it wouldn't be worth it to spend any time and effort

01:59:56.580 on that right now. I think, I think, again, I think parallel society, great, small tribes,

02:00:01.420 small communities, small groups. I mean, the larger, the better, obviously, but zones and,

02:00:07.560 and that they're just outside independently of all this madness that's happening, this

02:00:12.800 craziness, because I think maybe short term, maybe short term, they will succeed on certain

02:00:16.860 fronts, but long term, it will not survive. It will not work. And sure, these people might

02:00:21.500 have a scorched earth tactic where they want to destroy everything, including these are 0.97

02:00:26.400 lunatics, you know, sucking the carbon out of the atmosphere and burying it deep underground.

02:00:31.860 I mean, that's, that's lunacy, but they're, they're working on that kind of stuff, right?

02:00:35.760 The particles blocking out sunlight and stuff. They, they, they're going for the kill shot 0.79

02:00:39.200 here. We, we have to, we have to survive this. We have to turn this around. That's why it's 0.98

02:00:44.980 good to see the, the movement against the vaccine mandates and the Corona tyrannical stuff, because 0.60

02:00:50.520 you have a lot of normal, regular people out there that have been just completely fed up

02:00:54.820 with all this stuff. And that's a good base to operate from. That's the, the manpower that

02:00:59.600 you need. If, and when you have an opportunity to, to try to stop something like this, because

02:01:04.920 these people, no one, no one asked these people to do it. They're just moving ahead with it

02:01:08.100 and it needs to be stopped. Uh, okay. Um, not really a big surprise there. LA Times columnist

02:01:14.760 endorsed mocking anti-vaxxers deaths as necessary, right? We, we, I think we linked this up, right?

02:01:19.460 Column mocking anti-vaxxers deaths is ghoulish. Yes, but necessary. Uh, it was a guy called

02:01:24.260 Hiltzik. Not sure. Early, early life check on him. I'm not sure. Um, not a big surprise is what

02:01:31.820 they want, right? They even changed the headline. It was initially, we shouldn't, why shouldn't

02:01:36.280 we dance on the graves of anti-vaxxers? That's initially, that's in the URL of the, to the

02:01:41.000 story, but then they changed the actual, you know, uh, uh, headline on the, on the page

02:01:45.320 for it and stuff like that. Uh, anyway, not a, not, not a big surprise. You don't have to

02:01:49.160 linger on that too long. Uh, there it is right there, right? Uh, we had this one too. Uh, let

02:01:57.160 me see here. Oh, this one, let's play this one real quick here. Here's, here's Albert Borla. It's

02:02:01.960 continuation of the vaccine stuff, right? Um, what is, he even mentions it, right? We've talked

02:02:06.720 about the software of life. Uh, at 1.1 vaccine is necessary. Listen to what he says. And we know

02:02:15.620 that, um, the three, the two doses of the vaccine offer very limited protection. If any, the three

02:02:21.180 doses with a booster, they offer reasonable protection against hospitalization and deaths,

02:02:27.180 uh, um, and again, there's, I think very good, um, and less protection against the infection.

02:02:36.120 Now we are working on a, on a new version of our vaccine, the 1.1, let me put it that

02:02:42.200 way, that, uh, we'll cover Omicron as well. And, uh, of course, uh, we are waiting to have

02:02:50.040 the final results. The vaccine will be ready in March. The vaccine will be ready in March.

02:02:58.820 All right. So they're, they're moving ahead with it. Omicron specific. All right. Now let's

02:03:03.960 do, uh, let's do the, uh, the batch segment. We have to do that because this is, uh, very

02:03:09.160 important. Here's the website. We're going to play a couple of clips here for you and see

02:03:15.260 if we can summarize this for you a little bit. And so you understand what's happening here.

02:03:18.680 Uh, two different people, Mike Yeadon, right? He's a former, um, was he, was he, he was not

02:03:25.720 VP of Pfizer. Was he? He was in, it was, uh, he was, I think VP of the certain, uh, portion

02:03:30.280 within Pfizer. Uh, we've played some clips with him in the past. He's been a, an outspoken

02:03:36.200 whistleblower, if you will, that this is absolutely crazy. We're also going to play a clip with Tom

02:03:41.140 McCowan. He's also been, he's been, uh, together with people like, um, uh, Andrew Kaufman really

02:03:48.180 kind of focusing on this thing of like the validity in and of itself, uh, of this, this

02:03:53.620 model, the, the, the COVID molecule that we've gotten that this is, this is the virus and

02:03:57.700 this is our looks and all that kind of stuff. Right. But he's done a lot of other good work

02:04:00.900 as well. Uh, in terms of like, uh, you know, natural health and other remedies and, and just

02:04:05.740 exposing the garbage with this. Right. So there's a website. This is the independent 0.71

02:04:10.220 group that they're referencing in some of these clips that we'll play called how bad

02:04:13.820 is my batch.com because it's all down to, and it's, they actually call it lots. I

02:04:19.020 believe that's the actual technical term for it. A lot. Every vaccine has a lot

02:04:24.460 number and, and this is publicly available. I think you can see much of this online and

02:04:29.500 stuff like that. And they've pulled some data out of the VAERS system. Uh, they've used

02:04:34.620 even the flu vaccine as a kind of a control group of sorts. And we'll, we'll, we'll get

02:04:39.420 to that here in a moment too. And they have found statistical anomalies that shows that basically

02:04:48.700 someone at these companies that are producing this mRNA gene therapy must knowingly

02:04:57.500 have full understanding of, of, of what they're doing. When you look at the, the adverse effects of

02:05:02.780 some of the lots of the batches or lots, cause you wouldn't have them. You wouldn't have high

02:05:08.540 deaths within one lot. It would be evenly distributed across the board. Right. So let me play a couple,

02:05:14.460 a couple of clips. We'll begin with Mike Eden. He summarizes this a little bit, and then we'll take

02:05:18.060 a look at Tom Cowan and he explains a little bit more detail and shown some statistics as well. Uh,

02:05:23.580 listen to this. This is very important. Pay attention.

02:05:26.860 I made an assumption, which I was entitled to make, which is that the same stuff from a

02:05:32.860 given manufacturer is in every single vial, you know, a little glass vaccine vial. I believed

02:05:38.780 and was entitled to believe that within a fraction of a percent, uh, we had the same consistent quality

02:05:44.940 and purity in every single injection. And therefore the observed variation in, in behavior in people

02:05:50.700 must be down to something such as the thing I just suggested. Unfortunately, we're now

02:05:56.140 absolutely certain it's not the same stuff in every vial. And that means criminal acts are being

02:06:01.980 committed. So I mentioned earlier that I came up with an explanation for why many people have no

02:06:07.100 side effects and some people get very ill and even die. And that might be true. But the reason I even

02:06:12.700 thought of it was that you should expect, um, pharmaceutical mass manufacturers to be good at least at one

02:06:19.900 thing. And they are very good at this consistent, high quality, uh, purity, uh, manufactured from

02:06:26.380 batch to batch to batch. I stumbled across a couple of people independently who'd been doing their own

02:06:32.780 analysis of the VAERS database. What they were doing and no one else seemed to have done it was they

02:06:39.420 were pulling the vaccine batch or lot number might be like eight digits, six digits, a mixture of

02:06:45.660 alphanumeric symbols. And, um, comparing the profile of adverse events, uh, with comparing one, one lot to

02:06:55.180 another lot to another lot was the same manufacturer and their expectation would be, there'd be like a

02:07:00.380 scattering of adverse events across all the states and all of the lots, but they didn't find that.

02:07:05.500 Um, this person found that something like 90% of the adverse events were associated with like less

02:07:12.620 than 10% of the lots. If you draw a lot at random from the VAERS system and examine the outcomes,

02:07:21.020 the performance, that is the number of people who've reported adverse events, it ought to be

02:07:25.500 pretty similar from batch to batch to batch. If it's very different, I'm afraid I can tell you with

02:07:31.820 certainty and I would be able to prove this mathematically if needed in court. It's not

02:07:36.780 possible to go from two or three adverse events reported for a given lot and another lot have

02:07:43.260 5,000 adverse events. It's not possible if you only vary the products a little bit, you might imagine,

02:07:50.060 well, they're doing this at speed and it's novel, Mike's being a bit hard on them. No, if you only

02:07:55.020 have a small difference, you only get a small difference in the performance. If you go from nothing

02:07:59.260 effectively to the worst outcomes ever reported to VAERS, I'm prepared to state and to prove that

02:08:08.140 that means it's not the same material in the lots that have produced bad side effects. I mean,

02:08:14.380 what I've just told you, you may not appreciate the significance of it. It's not the same stuff.

02:08:19.900 So if you thought it was the Pfizer BioNTech COVID-19 vaccine that was used in the clinical trials,

02:08:26.060 some of the batches contain something different. I cannot know what it is, but it's definitely

02:08:33.020 not the same stuff.

02:08:34.940 And we'll get into that here now. So Thomas Cowan, he shows some screenshots from this,

02:08:38.780 from the study essentially. And this could very well be an answer to why some people are fine when

02:08:46.140 they take the vaccine. There's some people that have speculated that since the clinical trials in

02:08:50.060 many regards are still ongoing, even as weird as that sounds, but even legally, they're obligated.

02:09:00.300 And I know they break their own rules all the time. And I'm trying to say that, you know, but sometimes

02:09:04.460 they follow it because they're afraid of legal repercussions. It's very, it's very weird how

02:09:08.140 that pans out and how selective it is. But I'm just saying, maybe that's what's, I don't know,

02:09:12.300 maybe that's what's going on. That the clinical trials are still going and they have to have a control

02:09:16.780 group, right? They have to have, because they, because our authorities right now,

02:09:22.060 they would vaccinate 100% of the population if they have the ability to do so. If everybody would

02:09:27.260 go to line up to get these jabs, they would say, yep, that's perfect. Let's do it. I mean,

02:09:33.100 they want to give it to six month year old now. Eventually they're going to give it to newborns.

02:09:37.660 Okay. That's, that's literally the definition of insanity, especially we don't have long term

02:09:45.020 started on it, on it. The only explanation we can make is where they want to kill people that,

02:09:49.100 then it begins making sense of what they're doing. Right. But so to avoid this issue of

02:09:54.220 essentially murdering everybody right away with these things, we still don't know about the long

02:09:59.740 term effects, but it's clear that we have a lot of people that are literally dying within,

02:10:05.660 in some cases from what, a couple of hours. I think we have some that are like gotten paralysis,

02:10:09.900 like immediately and stuff like that. Uh, but some have like, you know, it takes a few hours.

02:10:14.700 They die next day, a couple of days later, a few weeks later, in some cases, a couple of months

02:10:18.780 later. Right. That's kind of like the, the, the, the, in a way of the short term effect,

02:10:22.940 and maybe the longterm is five years out. And that also it's depending on how many boosters they choose

02:10:27.980 to get and all this crazy stuff that's weaved into it. Right. But it would kind of be dumb if they want

02:10:32.380 to kill everybody like right away, it would kind of be too obvious. So what it seems like what's happening 0.86

02:10:38.620 right now, and that you could prove that by looking at this statistically with the lots and the numbers

02:10:43.100 tied to the lots and, and how many adverse events you have tied to specific lots of the vaccine

02:10:50.700 is that some people are getting the real thing and, and, and that's what's killing them.

02:10:56.380 Or they're getting something additional. Maybe everyone is giving, giving the, the, the regular

02:11:01.500 mRNA that they tell that they're giving it to everybody, or some of them are just saline solution.

02:11:07.900 We don't know. Anyway, here's Tom Cowan. Let's take a look at the next clip here.

02:11:11.660 Showing, um, how they kind of came to this conclusion. Look, look at this very important.

02:11:17.260 First, the reports pulled from the database were the ones that have been submitted up till October 15,

02:11:24.700 2021. They include all adverse reactions reported against Pfizer and Moderna, mRNA COVID-19 injections,

02:11:34.860 as well as all adverse reactions reported against the influenza vaccines. And the influenza vaccines

02:11:43.580 were used to generate a control database. In other words, here's the data for the COVID shots,

02:11:51.740 and we're going to use the flu vaccine as a kind of control. So what did they find?

02:12:00.540 Here is the information on the, uh, flu vaccines. So the total count of the lot numbers was 494.

02:12:12.700 That's the number I want you to, uh, pay attention to or listen or remember. And there's a few other

02:12:20.220 important numbers. The AE, that's adverse event reports total. So 494 lots times 850,000 doses.

02:12:31.580 Somebody can do the math. So that's a lot. And we have very few 1600 total adverse reports, 15 deaths,

02:12:42.140 73 hospitalizations. But the other numbers I want you to pay attention to is the average

02:12:50.060 adverse reaction per lot.

02:12:52.860 So, so again, as you clarify, if you're confused, this is just the numbers from the

02:12:58.060 normal flu vaccine. Right. And again, it doesn't, and he said that early on, it's not to prove to

02:13:02.300 say, well, that's your, that's your standard of safety. They might there as they even show here,

02:13:06.780 there is issues with that. Right. But that's just to kind of give you a sense of like, what the,

02:13:10.940 well, what would the normal adverse, uh, events be like? What would the number be like if you look

02:13:17.420 at the lots of, of the production of these vaccines? Right. So that's why he's doing that to use

02:13:22.220 that as a reference frame so that we can compare it to these new experimental MRNA gene therapy

02:13:27.740 jabs, uh, from Moderna and Pfizer and take a look at the numbers. And then also when you begin to look

02:13:32.060 at the distribution, that's a huge red flag. Let's continue.

02:13:34.940 It was, uh, three, uh, my cursor is not working. That's too bad. Uh, and the maximum, uh, adverse

02:13:46.300 event for a individual lot. In other words, one of these four 94 was 26. The maximum number of deaths

02:13:56.620 was two. The maximum hospitalization was three. And some of the lots had no adverse reactions at all.

02:14:04.620 Okay. So then we put this on a chart, uh, number of, uh, lots by death. So the above chart shows how

02:14:14.940 many times a specific lot number was identified in an adverse reaction of which the person had died

02:14:22.380 following vaccination against the flu. 97% of the lots were associated with zero deaths.

02:14:29.660 13 were associated with one death and one lot associated with two deaths. So the reason for

02:14:38.780 this slide is this is approximately what you get from a VAERS report, looking at millions of doses of

02:14:47.020 flu shots. Here's how many deaths, uh, in per lot number. And here's a number, another way of looking at

02:14:57.500 this. This is now for adverse events per lot number, except for a few spikes. The number of adverse events

02:15:05.500 per lot number was generally the same. No more than 26 being made against a single lot number.

02:15:13.180 So they're not exactly the same, but you can see on the charts, most of the lots had one event or, and the

02:15:20.780 maximum was 26. And that was only, I think, a few.

02:15:30.540 Now, uh, let me go through, this is, uh, the COVID injections. This is the data on the Moderna shot.

02:15:40.700 So first of all, the total count lot, total number of lots is 5,551, which means that first of all,

02:15:52.060 there was a lot more COVID injections with Moderna than there was flu shots given.

02:15:57.900 So, uh, somebody could say the reason why we have 188,000 plus adverse events was simply because

02:16:09.900 there's a lot more injections. And that may partly be true. I'm sure not the whole thing. Uh, number of

02:16:18.940 deaths reported 2,600, number of hospitalizations, 10,000 plus.

02:16:25.420 And of course we know that the VAERS numbers are most likely vastly underreported as well. You know,

02:16:33.740 that's something to add on to this, but that's not the point. The point is here to look at the

02:16:38.460 statistical anomalies of how many of these reports were tied to certain lots, because that's the tell,

02:16:44.460 that's the giveaway that shows you that there's something in some of the lots, which is not in

02:16:51.020 the other lots and those, whatever that is, is killing people and injuring people, right? Let's 1.00

02:16:57.260 proceed. So, uh, the total count of lot numbers was 5,510, as you see, but the important thing is

02:17:08.220 here we go into the minimum number of adverse events in a lot was one minimum number of deaths, zero minimum

02:17:17.500 number of hospitalizations, zero, the maximum per one lot. So here we're comparing one lot, uh, of a COVID injection

02:17:32.220 versus one lot of a flu shot. And I don't remember exactly what the number was. Let me go find it.

02:17:39.500 I think it was 26, 26, 26 compared to 26 compared to 4,967, almost 5,000. That's, that's not normal.

02:17:54.140 That's not right. The deaths maximum two here, 94 per lot. Yeah. No hospitalizations flu shot three here,

02:18:07.500 193 per lot. Almost 2,000. So now we're comparing the exact same numbers. There's no comparison here.

02:18:19.660 So some of the lots, the minimum were just like the flu shots and some of them, the maximum were like

02:18:28.540 nothing that has ever been experienced with a flu shot ever.

02:18:36.940 So this data alone shows that there are 118 times as many adverse reactions, 174 times as many deaths,

02:18:48.860 and 140 times as many hospitalizations due to the Moderna shot, then due to all the other

02:18:57.900 flu vaccines combined. That's quite big. But let's break this down even more.

02:19:05.660 95% of the lots of Moderna had zero death rates. So that's sort of like the flu shot.

02:19:15.500 That means that 2,600 deaths were associated with 5% of the lots.

02:19:22.380 13 lots. 13 lots had between 41 and 60 deaths each. Two lots had 61 to 80, and one lot had 81 to 100.

02:19:38.460 Now, the next thing, which is something that's really shocking, the investigation of the VAERS data

02:19:45.420 found that specific batches of the Pfizer and Moderna vaccines were distributed to between 13 and 50

02:19:54.140 states across the US. And these had an unusually high number of adverse reports and deaths compared

02:20:03.420 to lots that were distributed to 12 states or less.

02:20:06.940 So it means that what the people died from and were hospitalized from and had adverse effects from

02:20:16.140 was spread to as many states as possible, while those that were inactive or normal, whatever you want

02:20:23.180 to call it, were distributed to less states. Again, to not have all these red flags that all the deaths

02:20:29.180 would happen in one area or one state alone or something like that, right? Someone knows this.

02:20:35.020 Someone is directing all of this behind the scenes, okay? I don't know how many people it is. I'm not

02:20:39.820 sure what they're doing. Who knows? We don't know that yet. We're just looking at the statistics and the numbers

02:20:47.180 shows you that someone with criminal intent is doing something to some of the lots, okay?

02:20:55.740 What are they saying here? They're saying that when you look at these 95% of the lots that had zero deaths,

02:21:06.300 100% of them were distributed to 12 or fewer states. When you looked at the lots that had 41,

02:21:16.060 61, 61, 81 to 100, those lots were distributed to between 13 and up to 50 states.

02:21:28.860 In other words, somebody somehow chose to send the lots that were causing almost all of the deaths and

02:21:40.860 adverse reactions to essentially every state across the country compared to their usual distribution

02:21:49.420 pattern, which is to send them to very few states. The question is why did they do this?

02:21:58.540 And one has to consider the possibility that if they had sent all these to Alabama or New York or

02:22:07.020 somewhere, Wisconsin, then you would have all these deaths in one area, which would be a huge red flag,

02:22:16.540 whereas if you distribute them all across the United States, it's much harder to catch.

02:22:22.300 Yep.

02:22:23.020 This also suggests, and maybe even you could go so far as to say proves, that it wasn't because of

02:22:32.940 the pharmacy not doing it right. It wasn't because they weren't kept properly at cold temperature.

02:22:40.060 This happened with these lots in every state, in every circumstance. It had to be the actual contents

02:22:49.020 of those lots were different than the contents of the lots with no adverse effect, which is against every

02:22:58.940 principle of pharmaceutical, you know, good manufacturing practice, that all of the lots

02:23:07.100 have to be identical. You don't buy toilet paper and have one roll of toilet paper from the same company

02:23:15.740 like this and the other is completely different. So let's go on.

02:23:22.300 If you if and this is pharmaceutical companies, which is even more rigid and stringent and, you know,

02:23:28.380 the various, you know, seemingly up to this point, that's what we can say, right? Everything is,

02:23:34.460 everything is out the window. Since we entered 2020, everything that you think was normal or that

02:23:41.020 we usually did things or something. All of that is out the window. All right. There's people that know

02:23:48.300 shit and they're doing stuff and and and they know that they know the plan and they're executing it. Okay. 0.99

02:23:53.740 Okay. And this shows this shows criminal intent. Okay. There is a there's a criminal investigation

02:24:04.300 being done right now by the it's a German group. I'd love to get that guy on the show,

02:24:11.340 the Corona investigation group. I forget what they're called in German. I'll see if I can pull it up in a

02:24:18.140 moment. But there's plenty. So there's independent research. They're looking at it. There are people

02:24:22.940 doing a criminal investigation and no, it's not like police or anything like that at this point.

02:24:26.860 Right. But to to make to make their case that when you and again, this is not like it's only this

02:24:33.500 working on in and of itself or whatever, it's everything else combined that we've that we've

02:24:37.260 covered now with the last two years or so here that just that shows that these people know what

02:24:43.980 they're doing and they're killing people. And this is just a short term. This is just the immediate

02:24:50.060 as well. By the way, this is not the long term effects of what might happen eventually to every

02:24:54.940 single one that got this shot. Again, is it only going to be this because of whatever there's

02:24:59.820 distributing in a few of the lots and it will be, you know, relegated with you will sneeze at that

02:25:05.580 point. We don't know. And as the boosters are rolled out, maybe there will be more of whatever

02:25:11.580 it is that they put in the lots or killing people that will be in the boosters. So anything is

02:25:15.580 possible. If you do the Pfizer data, this data alone shows there's been a hundred and now we're

02:25:23.180 talking about Pfizer, 106 times as many adverse reactions, 189 times as many deaths, 195 times as

02:25:32.540 many hospitalization due to the. Yeah, someone in chat has this. Thank you for sending that. I,

02:25:37.660 yeah, I thought it was something like Anschluss, but it's Ash, Ashluss. I think it is Corona dash

02:25:44.060 us, us, us dot de. I would spell that. But yeah, it's in the Odyssey chat right now. Thank you.

02:25:48.780 Yeah, it's a full miss full miss. I forget his last name to do that. Thank you guys for the

02:25:53.900 info in the chat about that. They're doing great work and they've done only sessions with a bunch of

02:25:58.060 people. And, you know, they've done it with Mike Eden. They've done it with Dr. Lee Merritt, where,

02:26:02.300 where this stuff about the, that this is a bioweapon that that came out, right?

02:26:06.060 Gene specific bioweapon where whites are the most susceptible, uh, because of their ACE2 receptor 0.87

02:26:11.980 of this bioweapon and so forth. Next in line, I think we're black, uh, um, non-black Africans, 1.00

02:26:18.540 like North Africans. And then it was Africans. And then the least susceptible was Ashkenazi Jews and 0.92

02:26:23.660 the Amish, right? We played that clip a couple of times. Um, anyway, let's continue. This is, I mean,

02:26:28.540 this is super important because this shows intent. This shows that someone knows what they're doing

02:26:37.260 and they're fucking killing people. Okay. They're killing people. 1.00

02:26:41.260 The Pfizer injection there has been due to all the other flu vaccines combined. And here on the bottom

02:26:50.380 are the lot numbers. And then you can see the number of adverse reports by lot number.

02:26:57.900 And if you think that the flu shot variation, well, some had zero and some had 26,

02:27:06.140 all of the flu vax variation is below that red line.

02:27:11.500 So in other words, what this is telling you is that most lots were not that were like flu shots.

02:27:21.660 They had very few adverse events. Uh, maybe they had nothing in them, which is a

02:27:29.260 mind boggling proposition, given that everybody is supposed to get something which may even turn out

02:27:37.020 to not have anything in it. I mean, we don't know. And some of them, the ones with the blue spikes,

02:27:44.140 had a huge number, a range from one to 3,500 reports per lot. Yeah. It's just unheard of.

02:27:53.340 And again, those, those ones with the blue line above the, uh, horizontal red line,

02:28:02.300 those were all sent to more than 13 states. The ones below the red line, those were all sent to

02:28:11.100 fewer than 13 states. Why is that? Yep.

02:28:17.660 Why is that?

02:28:17.900 Then the conclusion is shockingly, we can also see from the data that 30 lots of the Pfizer vaccine had

02:28:25.340 between a thousand and 1499 adverse events. 20 had between 1500 and 2000 and 23 had between 2000 and

02:28:38.220 2500 per lot. This suggests that there's a small quantity of dangerous batches of the Pfizer vaccine

02:28:47.980 and a large quantity of seemingly harmless, and I would say at least in the short term,

02:28:54.780 of these same injections. That is unprecedented in the history of vaccine manufacturing,

02:29:03.740 or essentially any manufacturing. I mean, sure, it's happened with products, but it's always a

02:29:10.940 extremely, it's a big red flag. This is basically against good manufacturing practice. It's actually

02:29:20.540 a crime to do this. Yep, of course. The above chart shows that the number of

02:29:29.260 adverse events reported to VAERS against Moderna, sorted by the lot number of the vaccine,

02:29:36.460 it was administered prior to the adverse effect. It shows that the Moderna jab fared even worse than

02:29:44.380 Pfizer jab in this department, with the highest number of adverse events reported against a single lot,

02:29:52.460 a staggering 4967. And again, this is the same number of doses as the highest adverse event report for a flu shot

02:30:05.100 was 26. This is an unprecedented difference. Yep. And again, also compared to most of the Moderna shots

02:30:17.100 had essentially zero adverse events. How could these possibly be the same product? They're not. That's

02:30:25.180 the point. All right, he continues there. We're going to cut it right there. But that that continues,

02:30:30.460 right? That's Tom Cowan. And I found this on Bitshoot. I think he, these are uploaded to

02:30:36.940 Odyssey channels and stuff like that as well. What I'll do is I'll try to put those links to this down

02:30:42.860 in the description after, you know, the show, after when we upload it to Red Ice TV, Red Ice members,

02:30:47.260 and all the channels that we do in case you want to check out the whole thing for yourself.

02:30:51.260 Very interesting. I did. I cut out another portion. We don't have time to play it now,

02:30:55.740 but Mike Eden, kind of summarizing really like where we are in the situation and why,

02:31:01.500 at the different steps, like as the various governments introduced various things like from

02:31:07.980 masks to lockdowns to, you know, the vaccines and all that stuff along the way in the COVID scam.

02:31:14.380 And he just kind of summarizes in a really good way. I think I put it on like to our Telegram or

02:31:19.100 something later. I might put it on our on Bitshoot and Odyssey too. But just a good,

02:31:22.940 like really good summary and overview of just like how insane it is. And in fact,

02:31:26.460 that there's like, again, that's why I mentioned that before. There's no,

02:31:29.500 there's no precedence, but precedence for this, like it's a completely new method, right? That they have

02:31:36.300 all the protocols and procedures that they had in place of how they supposed to react when it,

02:31:42.060 when a so-called pandemic pops up, all of that stuff was like broken. All of those violated. In fact,

02:31:48.460 we did one no-go where I covered how the, the very idea of lockdowns, uh, was first introduced by the

02:31:57.020 daughter of someone who worked at the Sandia laboratories, right? This nuclear research facility

02:32:02.060 in, in the, uh, was that New Mexico or something? Um, and she, she had run some small computer model

02:32:08.620 of like, you know, so from social distancing to shutting everything down and stuff. Uh, but it wasn't

02:32:14.060 everything, was it? The Walmart's were still open. The Lowe's were still open, right? The,

02:32:18.060 the big chains, the targets were still open. It was only the mom and pops. For some reason,

02:32:21.980 they had to close down. Uh, they couldn't do their business anymore. All of this is tied in.

02:32:27.180 It's an attack on the financial system, on the supply chains, on the food production,

02:32:30.700 on our very, very health. All of these things are happening at the same time. And this is one of the

02:32:35.980 the big keys I think of like, you can, so you, if you have, if you know somebody that has taken the jab,

02:32:43.500 uh, ask them for the lot number and you can go to how bad is my batch.com and you can type in the

02:32:49.020 batch number and see the other adverse, uh, effects that are associated with that, with that batch. Again,

02:32:55.900 this is your short term, who knows what's going to happen long-term to these people and so forth.

02:32:59.740 Right. So, all right, we'll actually end on what should, what should we end on? I had many more

02:33:06.860 stories today, but we don't have time to get for it to it right now. Um, I guess we can end with

02:33:12.060 actually some sad news of just showing the craziness of just how insane it is. We reported on this in

02:33:18.940 the weekend warrior show of this little girl in Germany, uh, that, uh, went up and, and patted a cop

02:33:25.580 on the shoulder and then he, he chased her and fell. Did you guys see that? Look at, uh, here's,

02:33:29.980 here's the clip, uh, that we played. Look at this here. The last one is great here with a little

02:33:33.500 girl, uh, tapping on his shoulder and the, the build back better enforcement pig is falling on 0.95

02:33:38.220 his face. He tries to tackle her. He misses, he falls and then people are clapping about it. He gets 0.98

02:33:44.220 away and then he's angry. Maybe he's a pedophile. Maybe he's doing what he loves, chasing little girls. 0.98

02:33:51.420 All right, there we go. So that was kind of funny and stuff, right?

02:33:54.060 So we showed that. I think the person who had the, uh, tweet here, yeah, here's that clip of

02:33:58.700 like the little girl, right? Running up and pushing on the shoulder and he fell, right?

02:34:02.460 Well, guess what happens? Here's the update, uh, to, um, German police caught up with the girl

02:34:06.780 who pushed the policeman. She seems unconscious and she had wet herself and he's, she's dragged across

02:34:12.620 the road, uh, and then finally, uh, bundled or, or forced into, uh, uh, a truck. Look at this. Look at

02:34:19.260 this. Look at this behavior. Look at this. A little girl. Look at this. 1.00

02:34:32.700 Someone what about you? Why!? Whyynn? dt concern Me here... what about you? What。

02:34:43.980 What about you? Uh, what about you?

02:34:47.960 Yeah, what are you doing if you did? What about you if you did this?

02:34:51.500 bathroom.

02:34:52.500 What did they do to her?

02:35:22.500 Well, no, it's communism but whatever. It's the Build Back Better plan, that's what it is. Total tyranny, that's what it is.

02:35:37.500 I bet you 500 euros, those are not fascists, this is what they say. Now you see how 6 million were eradicated. Yeah, if that only was real, but we'll leave that for another time.

02:35:51.500 No, this is the new era, this is the new cops, these are the denazified police that are doing shit like this. At least on their own population, at least against their own population. 0.98

02:36:06.500 Anyway, it's not about that, this is not what it's about, it doesn't fucking matter either, in a way, at the end of the day, exactly what political view they have, it's disgusting. 0.98

02:36:16.500 What they're doing to this little girl. We don't know what happened yet, I've tried to follow up on it and see what they actually do, what happened, but yeah, clearly she's wet herself, she's unconscious, which means they probably beat her, or something like that, right? 0.96

02:36:31.500 Because of what? Because she tapped a police guy on the shoulder, and then he ran and tripped and fell.

02:36:36.500 Alright, it's just unbelievable. We're in unprecedented times, and you're gonna see a lot more of this. You're gonna see willing robots just line up to put people in camps and shit like that.

02:36:48.500 And this time it'll be real too, and it will turn on their own populations. I mean, I had a segment on just talking about this new domestic terrorism unit that they're popping up now in the US with the Justice Department. 0.67

02:37:03.500 We'll cover it Friday, because we're gonna wrap up here now, but all the pieces are falling in place, whether it's targeting dissidents or whether it's targeting vaccine-free individuals and stuff like that.

02:37:15.500 That's why, and I'll repeat it again, you have to be in an area where you know people, you're tapped into the local community, you have good people around you, you know where you can get help or where you can go and so forth.

02:37:27.500 This is just gonna get worse and worse, right? This is just going to get worse and worse, and you better be prepared for it, okay?

02:37:34.500 Sickening, singing shit like this. Alright, guys, we're gonna wrap up there. Thank you so much for joining us today, whether you join us live or later on. 0.99

02:37:43.500 In the archives, redice.tv, that's the website, redicemembers.com, sign up over there. Join us in the members section for much more content, of course, Weekend Warrior exclusive videos,

02:37:54.500 full archives, going back to 2006, of interviews and good stuff. Thousands of hours of material for you over there.

02:38:01.500 Alright, guys, thank you for joining us. We do appreciate you. Thank you everyone for joining us at Entropy as well.

02:38:06.500 Thank you to the super chatters and everyone else for your kind of emails, for your good support, and whether you're a member or whether you've been a member in the past, thank you so much.

02:38:15.500 We do appreciate it. Alright, boys and girls, we'll wrap up there. We'll be back with more here soon. We have a couple of new videos we're working on as well.

02:38:21.500 Lana has a couple of new short ones. We're gonna try to get those out here as soon as we can. And then we have, as usual, of course, Flashback Friday coming up on Friday.

02:38:30.500 Lana had a couple of interviews as well. Unfortunately, the one we had planned Tuesday didn't pan out because of an emergency last minute by the guest.

02:38:37.500 But she will return and we have more on that soon. Until next time, hold the line, stay vaccine-free. Gals and lads, we'll see you soon. Take care.

02:38:48.500 Do you love Red Ice? Want more? Get access to exclusive material by signing up for a Red Ice membership. You'll be able to watch Weekend Warrior, our flagship show, the second hour of interviews and other special feature videos only for subscribers.

02:39:15.500 Were you a member and we lost you along the way? Renew! We love and appreciate you guys and gals and cannot do this without you.

02:39:22.500 Help us be a sane voice, a lighthouse in the sea of insanity. As times get tougher, as people are searching for answers, they're going to need content like Red Ice.

02:39:32.500 A little of all your support can go a long way. Thank you.

02:40:02.500 Anchor is saying Literature, is likecat!

02:40:04.500 changing me, I ask information wasting manage youreur and Еслиก nader ges 너.

02:40:05.580 I am so glad you have done that. That was supposed to dieseüge.

02:40:07.500 I am so glad you are watching this Sierra as if you don't want.

02:40:12.500 Bye bye bye bye.

02:40:21.500 Bye bye.

02:40:23.500 Bye bye bye.

02:40:27.500 Say hi bye.

02:40:29.500 I'm talking away

02:40:39.020 I don't know what to say

02:40:42.960 I'll say it anyway

02:40:44.840 Today is another day

02:40:47.920 To find you shying away

02:40:50.960 I'm coming for your love

02:40:53.540 Okay, take on me

02:40:58.960 Take me off

02:41:04.360 I'll be gone

02:41:10.200 In a dream of true

02:41:13.160 Suddenly, less to say

02:41:19.140 I'm all descended

02:41:21.020 But I'll be stumbling away

02:41:24.800 Slowly learning that life is okay

02:41:28.500 Stay up to me

02:41:30.860 At least we're better to be safe

02:41:33.520 So

02:41:33.900 Take on me

02:41:38.260 Take on me

02:41:40.140 Take me off

02:41:43.900 Take on me

02:41:45.960 I'll be gone

02:41:52.660 Do-do-do-do-do-do-do-do-do

02:41:58.060 I'll be down to you

02:42:04.140 Ten that bad

02:42:06.460 I'll be back

02:42:07.000 If you've seen me

02:42:07.640 Thank you.

02:42:37.640 We continue to see an increase in hospitalization in Quebec. Our biggest challenge right now is finding enough health workers. We estimate that in the next weeks, we'll need a thousand additional workers for hospitals and a thousand five hundred for CHSLDs.

02:43:02.900 We're working closely with union leaders to find solutions. For CHSLDs, the situation is difficult, but it doesn't compare to what we saw during the first wave.

02:43:18.900 We have a lot more workers and almost all residents now have their three doses.

02:43:25.900 The vaccine is the key to fight the virus. This is why we're looking for a health contribution for adults who refuse to be vaccinated for non-medical reasons.

02:43:41.900 Those who refuse to receive their first dose in the coming weeks will have to pay a new health contribution.

02:43:51.900 I know the situation is tough, but we can get through this together. We need to focus our efforts on two things.

02:44:03.900 Getting the first, second and third doses of vaccine and reducing our contacts, especially with older people. So I'm counting on you all. Thank you. 1.00

02:44:18.900 You're on this unvaccinated tax. This is really unprecedented for Quebec, for Canada to levy a health care premium on someone who's unvaccinated.

02:44:30.900 I mean, I know we do similar things with cigarettes. They're taxed. People who smoke have to pay more for them, but they don't have to pay more for health care.

02:44:37.900 How do you expect to roll this out? There's going to be a lot of legal challenges to this ethical challenges where someone can't afford it. They're unvaccinated. That's their choice.

02:44:47.900 How are you going to manage this? This is this is a big deal.

02:44:50.900 OK. Yes, it's a big deal.

02:44:54.900 If you look at what's happening in other countries or other states, everybody is trying to find a solution.

02:45:04.900 Question of equity. Because right now, these people, they put a very important burden on our health care network.

02:45:19.900 And I think it's normal that the majority of the population is asking that there be a consequence.

02:45:27.900 And yes, we will continue to look at spreading the use of the vaccine passport. But I think we have to go further.

02:45:44.900 And I think that right now, it's a question also of fairness for the 90% of the population who made some sacrifices. I think we hold them this kind of measure.

02:46:14.900 .

02:46:15.900 .

02:46:16.900 .

02:46:17.900 .

02:46:19.900 .

02:46:21.900 .

02:46:23.900 .

02:46:24.900 .

02:46:26.900 .

02:46:27.900 .

Red Ice TV - January 12, 2022

No-Go Zone： Empty Shelves, Fire Fauci & The Covid Jab Lots Tied To Deaths Show Criminal Intent

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