Red Ice TV - January 12, 2022


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


Episode Stats

Length

2 hours and 46 minutes

Words per Minute

155.41652

Word Count

25,874

Sentence Count

1,185

Misogynist Sentences

6

Hate Speech Sentences

177


Summary

In this week's show, we discuss the latest on the deadly COVID vaccine, the growing number of deaths associated with it, and the growing evidence that the government is colluding with Fauci to cover up the problem. We also discuss the potential discovery of a new variant of the deadly chlamydia virus that could be a deadly chimeric virus.


Transcript

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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
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
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
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
00:10:12.080 Don't Make the Black Kids Angry
00:10:13.300 Very prominent
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
00:10:17.920 Which basically
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
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
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
00:14:48.480 And not showing up
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
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
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
00:16:28.000 Suck up all
00:16:28.460 These other issues
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
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
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
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
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
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
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
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
00:21:26.700 Part of the
00:21:28.340 Very same
00:21:28.860 Reason
00:21:29.260 That in
00:21:30.980 The Dutch
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
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
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
00:24:17.660 Oh shit
00:24:18.120 That's
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
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
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
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
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
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
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
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
00:27:04.800 Part
00:27:04.980 Of
00:27:05.080 The
00:27:05.260 Same
00:27:05.840 Bullshit
00:27:06.340 As
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
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
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
00:27:50.120 Virginian
00:27:51.360 Drifters
00:27:51.740 Says
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
00:27:58.140 Whites
00:27:58.460 Is
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
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
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
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
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
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
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
00:32:16.620 Unavailable
00:32:17.240 This
00:32:17.740 Is
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
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
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
00:34:35.160 Bullshit
00:34:36.480 That
00:34:36.860 Cow
00:34:37.180 Farts
00:34:37.500 Is
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
00:34:42.840 Right
00:34:43.120 Flying
00:34:44.560 Dutchman
00:34:44.860 Says
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
00:35:54.120 Clown
00:35:55.300 World
00:35:55.720 Bullshit
00:35:56.840 That
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
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
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
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
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
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
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
00:39:11.760 For
00:39:11.920 Them
00:39:12.100 This
00:39:12.260 Is
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
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
00:39:44.480 Kill
00:39:45.580 Everyone
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
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
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
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
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
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
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
00:42:31.360 Is
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
00:42:40.660 Ridiculous
00:42:41.640 But
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
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
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
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
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
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
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
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
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
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
00:45:01.960 A
00:45:02.340 Master
00:45:02.660 It
00:45:04.100 Is
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
00:45:16.080 The
00:45:17.260 Technology
00:45:17.860 Is
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
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
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
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
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
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
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
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
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
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
00:47:38.280 Shit
00:47:38.600 That
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
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
00:47:52.400 Shit
00:47:52.560 I
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
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
00:48:14.440 It
00:48:14.540 Evolution
00:48:14.980 Genetics
00:48:15.660 Is
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
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
00:48:26.260 Shit
00:48:26.500 That
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
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
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
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
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
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
00:50:40.200 Racist
00:50:40.740 We
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
00:51:39.320 Black
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
00:51:51.140 A
00:51:51.400 Huge
00:51:51.620 Bias
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
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
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
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
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
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
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
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
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
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
00:55:09.100 And
00:55:09.540 Turn
00:55:10.120 On
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
01:00:23.920 Hell
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
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
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
01:00:55.660 Kill
01:00:56.140 You
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
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
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
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
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
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
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
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
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
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
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
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
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
01:02:55.560 Disgusting
01:02:56.380 Urges
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
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
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
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
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
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
01:04:09.940 Disgusting
01:04:10.480 And
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
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
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
01:04:33.840 Shit
01:04:34.080 That's
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
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
01:05:05.480 Homosexuality
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
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
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
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
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
01:06:07.460 Blah
01:06:07.680 Blah
01:06:07.900 Blah
01:06:08.080 Blah
01:06:08.340 Blah
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
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
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
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
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
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
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
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
01:07:13.420 Not
01:07:13.600 A
01:07:13.740 BLM
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
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
01:07:54.440 This
01:07:54.620 More
01:08:12.500 Pay
01:08:12.740 No
01:08:12.980 Protector
01:08:13.740 And
01:08:17.160 There's
01:08:17.380 The
01:08:17.500 Cop
01:08:18.540 Lights
01:08:18.800 Down
01:08:19.000 Blinking
01:08:19.520 You
01:08:23.040 Know
01:08:23.140 He's
01:08:23.280 Going
01:08:23.360 To
01:08:23.380 Be
01:08:23.480 Arrested
01:08:23.960 So
01:08:24.280 Here's
01:08:24.500 The
01:08:24.700 Sculptor
01:08:25.160 The
01:08:25.340 Artist
01:08:25.620 Here
01:08:25.820 Eric
01:08:26.220 Gill
01:08:26.660 English
01:08:29.480 Sculptor
01:08:30.120 Blah
01:08:30.520 Blah
01:08:30.700 Blah
01:08:31.040 His
01:08:32.200 Artistic
01:08:32.660 Achievements
01:08:33.140 Have
01:08:33.280 More
01:08:33.440 Recently
01:08:33.740 Been
01:08:33.920 Overshadowed
01:08:34.440 By
01:08:34.560 His
01:08:34.740 History
01:08:35.020 Of
01:08:35.180 Sexually
01:08:35.740 Abusing
01:08:36.340 Children
01:08:36.780 His
01:08:37.900 Religious
01:08:38.260 Views
01:08:38.620 And
01:08:38.740 Subject
01:08:40.000 Matter
01:08:40.240 Contrast
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
01:08:43.760 As
01:08:43.940 Mentioned
01:08:44.340 In
01:08:44.440 His
01:08:44.580 Own
01:08:44.800 Diaries
01:08:45.180 His
01:08:45.900 Extramarital
01:08:46.660 Affairs
01:08:47.060 And
01:08:47.480 Sexual
01:08:47.960 Abuse
01:08:48.940 Of
01:08:49.080 His
01:08:49.260 Daughters
01:08:49.860 Sisters
01:08:51.120 And
01:08:52.300 Dog
01:08:53.220 There
01:08:54.840 It
01:08:54.940 Is
01:08:55.140 Among
01:08:56.800 Other
01:08:57.000 Works
01:08:57.340 Gill's
01:08:57.800 Sculpted
01:08:58.260 The
01:08:58.460 Statue
01:08:58.820 Outside
01:08:59.140 The
01:08:59.340 BBC
01:08:59.680 Broadcasting
01:09:00.420 House
01:09:00.740 Of
01:09:13.420 T
01:09:31.220 To
01:09:35.720 It
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.
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
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
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,
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
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
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
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
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
01:25:49.540 otherwise it would be, it's mathematically, statistically impossible. I better move along
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
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
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?
01:35:11.940 How did you talk to any of the scientists privately? Yes.
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
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.
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,
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
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
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
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
01:39:07.700 they need to. And we need someone at least to begin somewhere. We need someone to be responsible. And
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,
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
01:41:44.020 it's, you know, engineered or when it was created or where exactly was released first and stuff like
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?
01:42:15.300 It would have been a shit storm in the mainstream media about this white terrorist and stuff because
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
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
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.
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
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
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.
01:44:43.380 And you've fucked over so many people, right? From the AIDS fraud to this fraud to all the other
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
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,
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,
01:50:41.380 it's like trending. Aaron Rupar, dipshit. Anyway, let's listen to that again.
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.
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.
01:51:24.980 And they love him. He's a superstar of the liberal progressive global homos. They love this guy.
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,
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
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
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
01:54:13.640 this crap. We are very pleased that the efficacy of our vaccine holds very well against Omicron for
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.
01:54:44.400 That gives us a lot of hope. You know, we have been very privileged in 2021 to help hundreds of
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.
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.
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
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.
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
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
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
02:00:44.980 good to see the, the movement against the vaccine mandates and the Corona tyrannical stuff, because
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
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
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
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.
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
02:26:11.980 of this bioweapon and so forth. Next in line, I think we're black, uh, um, non-black Africans,
02:26:18.540 like North Africans. And then it was Africans. And then the least susceptible was Ashkenazi Jews and
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.
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
02:33:38.220 his face. He tries to tackle her. He misses, he falls and then people are clapping about it. He gets
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.
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.
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.
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.
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?
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.
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.
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.
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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.
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 .
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