The Megyn Kelly Show - Fauci, Vaccines, and Big Pharma's Power ｜ Robert F. Kennedy, Jr. Interview, Part 1

00:00:00.000 When I found out my friend got a great deal

00:00:02.160 on a wool coat from Winners,

00:00:03.760 I started wondering,

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00:00:11.260 Are those from Winners?

00:00:12.780 Ooh, or those beautiful gold earrings?

00:00:15.260 Did she pay full price?

00:00:16.600 Or that leather tote?

00:00:17.620 Or that cashmere sweater?

00:00:18.840 Or those knee-high boots?

00:00:20.280 That dress?

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00:00:21.740 Those shoes?

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00:00:30.600 Welcome to The Megyn Kelly Show.

00:00:32.520 Your home for open, honest, and provocative conversations.

00:00:42.260 Hey everyone, I'm Megyn Kelly.

00:00:44.060 Welcome to The Megyn Kelly Show.

00:00:45.940 Robert F. Kennedy Jr.

00:00:48.560 Born into the Kennedy dynasty

00:00:50.360 and the namesake of one of the most famous men in America.

00:00:54.140 He has been in the spotlight for decades.

00:00:56.120 Many of us grew up seeing the Kennedy family

00:00:58.360 as the closest thing we had to American royalty.

00:01:01.740 The patriarch, Joseph Kennedy, an entrepreneur,

00:01:05.000 ambassador to the UK, and first head of the SEC

00:01:07.620 under President Roosevelt,

00:01:09.740 helming a family of nine children,

00:01:12.220 one of whom is Robert F. Kennedy Jr.'s dad.

00:01:15.520 The names of those children would come to define politics

00:01:18.140 for much of the 20th century

00:01:20.020 as they became war heroes, senators,

00:01:22.020 attorneys general, even a president.

00:01:25.280 Bobby's father was Attorney General Robert Kennedy,

00:01:28.700 assassinated in 1968 while on his way toward becoming the Democratic nominee for president.

00:01:34.900 Bobby was just 14 years old at the time,

00:01:37.060 but years later would go on to follow in his father's legal footsteps,

00:01:42.200 entering the legal profession

00:01:43.280 and becoming one of the nation's top environmental lawyers,

00:01:46.960 leading the charge against various toxins and pollutants

00:01:51.080 and demanding remediation of chemical wastelands

00:01:54.500 like the Hudson River in New York.

00:01:56.460 But it is his position on vaccines

00:01:59.980 that has left him a bit of an outcast in some circles,

00:02:04.280 including with many in the medical community, the media,

00:02:06.840 and even with some of his own family.

00:02:09.460 I spoke to Robert for nearly four hours,

00:02:11.800 my longest interview ever.

00:02:14.000 We discussed everything from his position on vaccines and censorship

00:02:18.180 to the claims he makes in his latest book,

00:02:20.900 The Real Anthony Fauci,

00:02:22.940 Bill Gates' Big Pharma

00:02:24.120 and The Global War on Democracy and Public Health.

00:02:27.520 The book, essentially blackballed by the media,

00:02:30.600 is nonetheless an enormous hit with the American people,

00:02:34.360 making the bestsellers lists of The New York Times,

00:02:36.900 Amazon, The Wall Street Journal, and USA Today.

00:02:40.740 And while what you are about to hear

00:02:42.140 is not a cheerleading session on vaccines,

00:02:45.740 it is an important conversation about public health,

00:02:48.820 the agencies in charge,

00:02:50.620 and whether we have been getting the protection we deserve

00:02:53.180 from those we fund with our tax dollars.

00:02:56.580 We taped this conversation about a week ago,

00:02:58.860 and we have spent the time since taking a deeper dive

00:03:01.460 into some of his more controversial claims.

00:03:04.660 What you will hear are many of his opinions,

00:03:08.300 along with some context and some fact-checking as we go.

00:03:11.880 We did this because we want our audience to hear this discussion,

00:03:14.860 but to understand where Robert and his critics most differ,

00:03:18.800 and because we hope this exchange can be seen

00:03:21.460 on as many public platforms as possible.

00:03:24.360 We think it's a vital exchange.

00:03:26.520 Also, if you are watching on YouTube

00:03:27.680 or listening on the podcast services,

00:03:30.960 you can find links to other sources,

00:03:33.700 like the CDC, the WHO, and so on,

00:03:36.480 in our episode description.

00:03:38.860 We've tried to provide you with as many resources as possible.

00:03:43.080 You can make up your own minds.

00:03:44.840 We talked about far more than just vaccines, however.

00:03:47.220 This is, after all, Robert F. Kennedy Jr.,

00:03:50.420 including an incredibly revealing conversation

00:03:52.600 about the toll his work has taken on his wife,

00:03:56.120 actress Cheryl Hines,

00:03:57.800 the assassinations of his father and his uncle,

00:04:00.320 and why he thinks the Democratic Party

00:04:01.840 is no longer what they fought so hard to represent.

00:04:04.940 We even went there on Marilyn Monroe

00:04:06.720 and claims about his father and his uncle

00:04:09.880 allegedly having affairs with her,

00:04:11.720 truly nothing to his credit, was off limits.

00:04:15.080 We have divided the interview into two separate shows

00:04:18.320 because clearly there's a lot to cover.

00:04:20.520 In today's show, we dive into vaccines.

00:04:23.260 I asked him point blank how he can claim to be pro-vaccination,

00:04:27.220 which is what he claims,

00:04:28.480 when his words and positions sound far from it.

00:04:32.000 We also look into Dr. Fauci, his career, his finances,

00:04:36.060 and why Kennedy says Fauci is not the hero

00:04:38.860 the media made him into during the COVID pandemic.

00:04:42.600 Thank you so much for being with us today.

00:04:46.020 Thank you for having me, Megan.

00:04:47.640 All right, let's start with the Fauci book

00:04:49.660 because one of the most interesting things about it

00:04:52.600 is how it's been totally blackballed

00:04:54.760 by basically everyone.

00:04:57.460 I mean, it's been a complete media blackout on the book.

00:05:02.040 You know, we've gone into 12 separate printings,

00:05:05.840 and so we ran out of books a dozen times.

00:05:11.660 Wow.

00:05:11.760 And now they have plenty of books.

00:05:13.900 Wow.

00:05:14.460 And Bobby, if we can, just to remind folks,

00:05:17.260 your voice is a little raspy,

00:05:19.900 and there's a reason for that,

00:05:20.860 just so people aren't distracted.

00:05:22.680 And would you care to share the reason for that?

00:05:24.380 Yeah, and I apologize to that,

00:05:27.080 particularly to your listeners and to you,

00:05:28.800 because my voice is really hard to listen to.

00:05:31.040 So I had a very, very, like, unusually strong voice

00:05:36.380 until I was 42 years old, 1996, 1997.

00:05:41.700 I was struck with this condition,

00:05:43.960 which is called spasmodic dystonia.

00:05:47.320 My throat, actually, if you scoped my throat,

00:05:51.040 it would look like a very, very healthy throat.

00:05:53.400 But I have a neurological condition,

00:05:58.040 so my brain is instructing my voice box to tighten up.

00:06:03.680 And for some reason, nobody really understands.

00:06:07.700 It goes in and out.

00:06:08.940 So some days, my voice is pretty strong,

00:06:12.500 and other days, it's very staggered

00:06:19.680 and kind of difficult to listen to.

00:06:22.060 And today is not a good day for my voice.

00:06:25.280 So again, I apologize to you.

00:06:27.280 Not at all, not at all.

00:06:29.060 I'm sorry to even raise it.

00:06:30.420 It's just whenever there's a distraction, I want to...

00:06:32.420 You know what?

00:06:33.000 Whenever I give a speech, Megan,

00:06:34.960 I'll always explain it to people,

00:06:37.120 because, I mean, it is...

00:06:39.940 I can't listen to myself on a...

00:06:42.640 I have never listened to my own podcast.

00:06:45.220 I don't listen to myself on TV or radio,

00:06:47.780 because it's disturbing for me to hear my voice.

00:06:52.580 So I feel sorry for people who need to listen to it,

00:06:56.480 and I feel like it helps me to give them an explanation.

00:07:00.280 You're worth it.

00:07:01.020 You're worth it.

00:07:01.740 And, you know, I was thinking about it

00:07:03.880 as I was reading about your condition,

00:07:05.420 thinking it's a particularly cruel thing

00:07:07.880 to have handed to you, right?

00:07:09.200 I mean, it's quite literally the loss of your voice, right?

00:07:12.500 It's to have your actual voice diminished in any way

00:07:16.120 or interfered with must be galling,

00:07:19.460 must be frustrating.

00:07:21.040 I don't know.

00:07:21.860 How has that felt to have that deteriorate?

00:07:25.160 Well, you know, it's definitely a paradox

00:07:27.920 or an irony,

00:07:30.260 because so much of what I do

00:07:33.240 is depend on my voice as maternity,

00:07:35.480 as a public speaker,

00:07:37.240 as, you know, somebody who is a voice now

00:07:41.700 kind of for the movement that, you know,

00:07:44.660 I have this particular disability.

00:07:48.120 But, you know, I think any,

00:07:51.560 listen, there's people who have a lot worse disabilities than me.

00:07:54.900 I have a cousin who lost a leg when he was 11 years old.

00:07:59.980 My family has been around people, you know,

00:08:02.400 working on disabilities for many, many years.

00:08:05.240 So I've never spent even a second feeling sorry for myself

00:08:11.180 or, you know, it's just something that God gave me.

00:08:15.760 I have to figure out, you know,

00:08:18.220 why is this a gift?

00:08:19.860 Why has this challenge been given to me?

00:08:22.300 And that's, you know,

00:08:23.320 and then to do the best I can

00:08:24.840 and not be deterred by it.

00:08:26.780 It's not something I would complain about.

00:08:28.860 Well, the patriarch of the Kennedy family, Joseph Kennedy,

00:08:32.540 the man with whom it all started,

00:08:34.820 and that's your grandpa, Bobby Kennedy's dad,

00:08:37.500 Jack Kennedy's dad.

00:08:39.240 As I understand it, he wasn't so big on whiners.

00:08:42.020 And so you were all raised from the cradle

00:08:44.520 to toughen up and not walk around feeling,

00:08:48.560 woe is me.

00:08:50.280 Yeah, I think that's right.

00:08:51.620 He would, if you wind around him,

00:08:55.700 he would come into the house clapping his hands,

00:08:58.260 said there are no whiners in this house.

00:09:00.440 There's no complaining in this house.

00:09:03.480 And, you know,

00:09:04.900 we were reminded growing up time after time

00:09:08.980 that we were very, very fortunate.

00:09:11.480 Compared to 99% of humanity,

00:09:14.960 we had a very, very cushy existence.

00:09:18.780 And, you know,

00:09:19.540 none of us really had a right

00:09:22.760 to complain about anything.

00:09:24.420 And I, you know,

00:09:27.160 I think it's a better way to live

00:09:28.740 to just say,

00:09:29.600 you're not going to complain.

00:09:31.620 I think self-dity is crippling to people.

00:09:35.100 Yes.

00:09:35.440 I mean, coming from that kind of an upbringing

00:09:37.060 and family approach to life,

00:09:39.880 today's day and age must be very frustrating to you.

00:09:42.120 I'm sure your grandfather would be horrified

00:09:44.740 to see how much we lean into victimhood today,

00:09:47.480 whether actual or imagined.

00:09:51.160 It's become something we prize.

00:09:53.880 It's celebrated.

00:09:55.580 It's no longer something to triumph over.

00:09:58.840 It's more like,

00:09:59.980 great, you've got something to complain about.

00:10:01.800 We all want to hear it.

00:10:04.080 Yeah.

00:10:05.920 Well, I don't think that anybody ever got to their deathbed

00:10:09.500 and said, you know,

00:10:11.080 oh, I wish I had spent more time complaining.

00:10:13.580 I think there's a,

00:10:16.400 one of the things that I found out

00:10:18.300 during my early sobriety,

00:10:19.900 it was really a technique that was a gift to me,

00:10:23.340 was that gratitude was a choice.

00:10:28.240 And that, you know,

00:10:30.080 my inclination,

00:10:31.080 I think the inclination of most people

00:10:33.360 is not to be grateful,

00:10:35.720 but to wake up every day

00:10:38.640 with a sense of impending doom

00:10:40.420 and then, you know,

00:10:41.420 to look for reasons to be discontent.

00:10:45.300 And,

00:10:45.980 and it's really about the way

00:10:48.660 that we process reality.

00:10:50.000 You could have two people

00:10:51.600 who are doing this,

00:10:53.800 who are shoveling manure.

00:10:55.620 And one of them could be whistling and laughing

00:10:58.360 and the other one could be grumbling

00:11:00.360 and cursing.

00:11:01.300 And it's,

00:11:02.740 it all is taking place

00:11:04.680 inside our own heads.

00:11:06.580 You know,

00:11:06.920 how do we choose to practice,

00:11:08.700 to,

00:11:09.040 to process our reality?

00:11:11.980 Do we choose to look at the half,

00:11:13.800 half empty or glass foam?

00:11:16.180 I,

00:11:16.920 you know,

00:11:17.300 every day of my life,

00:11:18.880 I make a gratitude list.

00:11:20.740 I,

00:11:21.100 I just list,

00:11:22.120 you know,

00:11:23.100 a lot of banal things

00:11:25.280 like orange juice,

00:11:26.700 antibiotics,

00:11:27.920 and air conditioning,

00:11:28.820 and the glass on the windows,

00:11:32.880 the things that generations,

00:11:34.900 20,000 generations of humanity

00:11:37.160 never had those things.

00:11:38.620 We live like gods

00:11:39.800 compared to most of the human beings

00:11:42.280 in history,

00:11:42.800 even the most unfortunate,

00:11:44.980 you know,

00:11:45.520 American today.

00:11:46.480 And so we can either choose

00:11:49.800 to be grateful about those things

00:11:53.360 or we can,

00:11:54.420 you know,

00:11:55.940 choose to be anxious.

00:11:57.540 And,

00:11:58.060 you know,

00:11:58.360 it was a revelation to me

00:12:00.020 to learn,

00:12:01.200 to realize that that was a choice

00:12:03.400 and it was my condition

00:12:04.860 that was,

00:12:05.840 you know,

00:12:06.500 that was imposed upon us.

00:12:08.580 Mm-hmm.

00:12:09.220 Gosh,

00:12:09.700 I mean,

00:12:09.920 I wish people could understand

00:12:12.020 the full extent of what

00:12:13.440 you've been through.

00:12:14.980 How old are you now?

00:12:15.640 I'm actually 68 years old.

00:12:17.820 68.

00:12:18.380 I mean,

00:12:18.540 you look so young.

00:12:19.540 You look good.

00:12:21.400 You know,

00:12:21.960 because it's crazy.

00:12:22.840 Like,

00:12:23.000 people will have one,

00:12:24.360 one of the many things

00:12:25.580 that have happened to you

00:12:26.460 and spend the rest of their lives

00:12:28.960 lamenting it

00:12:30.080 and leaning into

00:12:30.980 their sadness,

00:12:32.340 their depression.

00:12:32.920 It's something that defines them.

00:12:35.180 Not to bum you out,

00:12:36.380 but I'm just,

00:12:36.880 just off the top of my head.

00:12:38.060 Obviously,

00:12:38.520 your father was assassinated.

00:12:40.060 Your uncle,

00:12:40.660 the president of the United States,

00:12:41.680 was assassinated

00:12:42.440 when you were a young boy.

00:12:44.120 Your cousin,

00:12:46.500 JFK Jr.,

00:12:47.580 died far too young

00:12:49.280 in a plane crash.

00:12:50.680 You've had your own

00:12:51.180 personal challenges

00:12:51.960 and here you are

00:12:53.480 on a mission,

00:12:55.040 staying on the thing

00:12:55.980 that you care most about,

00:12:57.100 the environment,

00:12:57.900 public health.

00:12:58.840 You've taken a ton

00:13:00.220 of incoming,

00:13:01.280 you know,

00:13:01.520 you've been demonized

00:13:02.420 by large factions

00:13:04.920 of the press.

00:13:05.960 You never stop.

00:13:07.220 You never stop

00:13:07.860 and I admire it.

00:13:08.640 Okay,

00:13:08.840 so let's go

00:13:09.740 and let's talk about vaccines

00:13:10.940 because I know

00:13:11.460 a lot of people,

00:13:12.280 the reason a lot of people

00:13:13.260 will dismiss the book

00:13:14.060 on Fauci

00:13:14.500 is the prior stance

00:13:15.740 on vaccines

00:13:16.380 and when you say

00:13:17.340 RFK Jr.

00:13:18.200 to people,

00:13:18.900 they say,

00:13:20.200 oh,

00:13:20.580 you know,

00:13:20.960 he's against vaccines.

00:13:22.020 He hates the MMR vaccine.

00:13:23.380 You know,

00:13:23.560 it's saved millions of people.

00:13:25.120 It's helped,

00:13:25.880 you know,

00:13:26.060 so many kids

00:13:26.740 and you have been critical

00:13:29.360 of obviously

00:13:30.200 the vaccine regime.

00:13:31.880 So for the record,

00:13:32.620 where do you stand

00:13:33.400 on vaccines

00:13:34.820 like the MMR vaccine

00:13:36.020 and other related

00:13:37.240 childhood vaccines

00:13:38.260 today?

00:13:39.620 Well,

00:13:39.860 I have never been

00:13:41.220 anti-vaccine.

00:13:42.640 That is a pejorative

00:13:43.760 that's applied to me

00:13:45.060 in order to marginalize me

00:13:48.160 and silence me

00:13:49.700 and as you point out,

00:13:52.160 have people dismiss me

00:13:53.260 as somebody

00:13:53.780 who's irrational

00:13:54.680 or crazy.

00:13:55.940 What I've said

00:13:56.740 is we should have

00:13:57.460 safe vaccines.

00:13:58.640 We should have

00:13:59.320 good,

00:13:59.820 robust science.

00:14:00.980 We should have

00:14:01.400 regulators

00:14:02.080 that are independent

00:14:03.220 of the pharmaceutical industry

00:14:04.840 that is profiteering

00:14:06.060 on the vaccines.

00:14:07.400 That's true.

00:14:07.960 I started doing this

00:14:09.780 for trying to get

00:14:10.980 mercury out of

00:14:12.000 the vaccines

00:14:12.860 and,

00:14:14.500 you know,

00:14:15.440 I spent,

00:14:17.060 and that was real,

00:14:17.880 I was very focused

00:14:18.820 on that issue

00:14:19.840 because mercury

00:14:20.700 clearly is neurotoxin.

00:14:23.280 There is no,

00:14:24.120 there are hundreds

00:14:24.880 and hundreds

00:14:25.300 and hundreds

00:14:25.700 of studies

00:14:26.340 that show

00:14:27.340 that it is devastating.

00:14:29.160 It causes

00:14:29.620 a traumatic IQ loss.

00:14:31.360 It damages

00:14:31.820 every organ.

00:14:32.780 and it causes

00:14:35.680 all kinds

00:14:36.180 of brain damage

00:14:37.020 and that there's

00:14:37.700 no safe level

00:14:39.280 of mercury exposure.

00:14:41.020 And the idea

00:14:43.020 that we would be

00:14:44.360 injecting mercury

00:14:45.360 directly into babies,

00:14:48.280 you know,

00:14:48.600 I was suing

00:14:49.520 at that time,

00:14:50.340 this is 2005,

00:14:51.760 I had lawsuits

00:14:52.580 against,

00:14:53.540 I think,

00:14:54.500 39 coal-burning

00:14:56.560 power plants

00:14:57.300 and cement kilns

00:14:58.380 for discharging

00:14:59.280 mercury

00:14:59.640 from the stacks.

00:15:01.840 Mercury was,

00:15:02.660 was getting,

00:15:03.880 precipitating

00:15:04.500 out of the rainfall

00:15:05.420 and getting

00:15:06.020 into our fish.

00:15:07.960 FDA did a study

00:15:09.460 in 2003

00:15:10.460 that showed

00:15:11.100 that every freshwater

00:15:12.140 fish in America

00:15:13.060 had dangerous levels

00:15:14.340 of mercury

00:15:14.880 in its flesh.

00:15:16.740 And,

00:15:17.300 you know,

00:15:17.660 it occurred to me

00:15:18.640 that we were living

00:15:19.780 a science fiction nightmare

00:15:21.180 where my children

00:15:22.420 and the children

00:15:23.180 of every other American

00:15:24.700 could now

00:15:25.220 no longer engage

00:15:26.520 in the seminal

00:15:27.240 primal activity

00:15:28.200 of American youth.

00:15:29.640 which is to go

00:15:30.980 fishing with their mom

00:15:32.040 or dad

00:15:32.560 in the local

00:15:33.060 fishing home

00:15:33.760 and then come home

00:15:34.480 and safely eat the fish.

00:15:36.340 Oh,

00:15:36.640 I've been trying

00:15:37.680 for 17 years

00:15:39.300 to get the mercury

00:15:40.220 out of the vaccines.

00:15:41.620 It's out of many

00:15:42.780 American vaccines.

00:15:44.180 We're still giving it

00:15:45.060 to every African child

00:15:46.620 and it's still

00:15:47.580 in the flu shots

00:15:48.580 which are given

00:15:50.040 to pregnant women

00:15:51.020 which is insane.

00:15:53.940 But,

00:15:54.680 you know,

00:15:55.460 I spent

00:15:56.160 35 years

00:15:58.120 trying to get

00:15:58.700 mercury

00:15:59.100 out of the fish

00:16:00.020 and nobody

00:16:01.360 called me

00:16:01.880 anti-fish.

00:16:03.380 So,

00:16:03.840 I'm trying

00:16:04.240 to get mercury

00:16:04.840 out of the vaccines.

00:16:05.800 It doesn't make

00:16:06.420 me anti-vaccine.

00:16:07.740 It makes,

00:16:08.680 if the vaccine works,

00:16:10.780 I'd be the first

00:16:11.820 one to take it

00:16:12.620 and I took

00:16:13.280 flu vaccines

00:16:15.380 for 20 years

00:16:16.760 every year.

00:16:17.720 All my children

00:16:18.700 are fully vaccinated.

00:16:19.840 So,

00:16:20.740 the pushback

00:16:21.520 against that claim

00:16:23.220 is on the mercury.

00:16:24.960 Let's just

00:16:25.320 start with that.

00:16:27.320 As I understand it,

00:16:28.400 there are two types

00:16:29.360 of mercury

00:16:29.860 that we're dealing

00:16:30.500 with, right?

00:16:31.540 There's

00:16:32.100 ethyl mercury

00:16:33.160 in vaccines

00:16:34.120 and then there's

00:16:36.180 methyl mercury

00:16:37.180 which is found

00:16:38.420 in fish.

00:16:39.620 And,

00:16:39.940 apparently,

00:16:41.540 you know,

00:16:41.940 methyl mercury

00:16:42.540 is more of a potent

00:16:43.380 neurotoxin

00:16:44.160 than ethyl mercury

00:16:45.120 is,

00:16:45.680 which is said

00:16:46.380 to be safer,

00:16:47.260 ethyl is,

00:16:47.880 than methyl.

00:16:48.500 And the experts,

00:16:50.820 the people

00:16:51.520 on the other side

00:16:52.020 of you,

00:16:53.140 I'm using that term

00:16:54.240 in quotes,

00:16:54.880 experts,

00:16:55.600 but they say

00:16:56.240 that ethyl mercury

00:16:57.300 in the vaccines

00:16:58.220 will exit the body

00:16:59.540 much faster.

00:17:00.240 So,

00:17:00.420 it's less of a safety

00:17:01.400 issue than the

00:17:02.040 methyl mercury

00:17:02.680 you might find

00:17:03.580 in eating a fish.

00:17:05.980 They say that,

00:17:07.440 okay,

00:17:07.680 so that's with respect

00:17:08.340 to mercury

00:17:09.280 and there's a guy,

00:17:10.460 I'm sure you've read

00:17:10.860 his piece,

00:17:12.020 he's a professor

00:17:12.420 of pediatrics,

00:17:13.880 director of the

00:17:14.400 Vaccine Education Center

00:17:15.360 at the Children's Hospital

00:17:16.100 of Philadelphia,

00:17:16.740 Paul Offit,

00:17:17.640 who says,

00:17:18.280 look,

00:17:19.520 the human body

00:17:20.440 will eliminate

00:17:21.240 ethyl mercury

00:17:22.040 that's in vaccines

00:17:22.960 far more efficiently

00:17:23.860 than it eliminates

00:17:24.740 naturally occurring

00:17:25.900 methyl mercury

00:17:27.060 that's in fish.

00:17:27.860 So we're better

00:17:28.460 at getting rid

00:17:29.000 of the ethyl

00:17:29.800 that would be

00:17:31.060 in a vaccine.

00:17:31.900 They use it

00:17:32.380 as basically

00:17:33.640 a preservative

00:17:34.260 so that the vaccine

00:17:35.340 remains viable

00:17:37.220 to give to you.

00:17:38.480 So they say

00:17:39.160 we're way better

00:17:40.180 at taking care

00:17:40.900 of that ethyl mercury,

00:17:42.300 our bodies.

00:17:42.760 And he says

00:17:44.080 that a baby

00:17:46.440 would receive

00:17:47.740 far more

00:17:48.720 of this methyl

00:17:50.380 mercury

00:17:51.020 during the first

00:17:51.960 six months

00:17:52.320 of life

00:17:52.900 than they would

00:17:54.280 ever receive

00:17:55.000 long before

00:17:55.780 their first dose

00:17:56.840 of, say,

00:17:57.660 the influenza vaccine.

00:17:59.280 And saying that

00:17:59.920 just simply

00:18:00.400 by living on Earth,

00:18:01.280 he writes,

00:18:01.660 by six months

00:18:02.140 of age,

00:18:02.560 babies will have

00:18:03.120 ingested

00:18:03.500 an amount

00:18:03.940 of mercury

00:18:04.460 that is

00:18:05.620 1,440 times

00:18:07.760 greater

00:18:08.260 than the safety

00:18:10.060 limit that you propose.

00:18:11.140 So in other words,

00:18:11.980 even if we don't

00:18:12.800 give the vaccines

00:18:13.540 to the babies

00:18:14.520 or even if we

00:18:15.340 take the mercury

00:18:15.980 out of all vaccines,

00:18:17.540 the babies are still

00:18:18.500 going to be getting

00:18:18.980 this methyl mercury

00:18:19.940 thanks to their moms

00:18:21.040 and the way we eat

00:18:22.120 and so on,

00:18:23.060 which belies

00:18:24.140 the claim

00:18:24.620 that somehow

00:18:25.340 the ethyl mercury

00:18:26.460 in the vaccines

00:18:27.900 is somehow

00:18:29.160 causing harm.

00:18:32.220 Okay,

00:18:32.540 so

00:18:32.840 Paul Offit,

00:18:35.100 who told you

00:18:36.080 that knows

00:18:37.480 that that's untrue.

00:18:38.980 And the reason

00:18:39.800 I know he knows

00:18:41.040 it is because

00:18:41.680 I had a conversation

00:18:42.980 with him,

00:18:43.600 which I recorded

00:18:44.400 in 2006,

00:18:46.420 which he admitted

00:18:47.920 that that was a lie.

00:18:49.720 And here's what

00:18:50.620 happened, Megan,

00:18:51.800 in that claim

00:18:53.440 that ethyl mercury

00:18:54.700 is quickly excreted

00:18:55.900 from the body

00:18:56.540 was made originally

00:18:58.800 by Eli Lilly,

00:19:00.080 which developed

00:19:01.460 this thimerosol,

00:19:03.820 the mercury preservative,

00:19:05.100 for vaccines

00:19:05.700 in 1932.

00:19:07.760 There was no science

00:19:09.100 that supported them.

00:19:10.080 It literally

00:19:10.580 had no science.

00:19:12.600 Then in 2000,

00:19:13.660 they were all

00:19:14.400 repeating this

00:19:15.400 again and again

00:19:16.520 like a mantra.

00:19:17.940 And in 2003,

00:19:19.720 a CDC scientist

00:19:21.040 called Pichiaro

00:19:22.280 did a study

00:19:23.960 that seemed

00:19:24.680 to confirm

00:19:26.300 that claim.

00:19:27.180 And what he did

00:19:28.640 was he measured

00:19:31.080 the mercury levels

00:19:32.240 in the blood

00:19:32.840 of children

00:19:33.600 who had been given

00:19:34.320 a thimerosol vaccine.

00:19:36.500 And within a week,

00:19:37.660 the mercury,

00:19:38.300 the ethyl mercury

00:19:39.060 in the vaccines

00:19:39.820 had all disappeared.

00:19:41.700 Then he gave

00:19:42.580 the same children

00:19:43.360 a tuna fish sandwich.

00:19:45.480 And the methyl mercury

00:19:46.820 from the tuna fish

00:19:47.980 was in their blood

00:19:49.320 54 days later.

00:19:51.000 That was a half-life.

00:19:52.700 So his conclusion

00:19:54.020 is, wow,

00:19:55.340 you know,

00:19:55.680 we've been saying

00:19:56.320 this for all these years

00:19:57.740 and it turns out

00:19:58.800 to be true.

00:20:00.200 And he published

00:20:01.380 that in Pediatrics

00:20:02.540 and a bunch

00:20:03.440 of scientists

00:20:04.140 like world authorities

00:20:05.560 on mercury toxicity

00:20:06.880 like Dr. Boyd Haley

00:20:08.520 from the University

00:20:09.300 of the Chemistry Department

00:20:11.560 of the University

00:20:12.220 of Kentucky

00:20:13.220 wrote a letter

00:20:15.360 to the journal

00:20:15.960 and said,

00:20:16.380 what happened

00:20:17.560 to the ethyl mercury?

00:20:19.700 Because Pichero

00:20:20.980 could not find it

00:20:22.420 in the sweat

00:20:23.000 of the children,

00:20:24.080 the feces,

00:20:25.320 the blood,

00:20:26.640 the hair,

00:20:27.760 or the fingernails

00:20:28.900 or the urine.

00:20:30.640 What happened to it?

00:20:32.260 Did it really

00:20:33.060 leave the body?

00:20:35.000 So NIH

00:20:35.860 commissioned

00:20:37.480 a monkey study

00:20:38.580 by one of the

00:20:41.020 famous,

00:20:42.520 iconic scientists,

00:20:44.780 Dr. Thomas Pichero

00:20:46.040 at the University

00:20:47.020 of Seattle

00:20:47.800 in Washington

00:20:48.520 or University

00:20:50.140 of Washington

00:20:50.600 in Seattle.

00:20:51.780 He took macaques.

00:20:54.180 He did the same thing.

00:20:55.360 He gave half

00:20:56.040 of the macaques

00:20:56.720 tuna fish sandwiches.

00:20:58.500 He gave the other

00:20:59.820 half mercury vaccines

00:21:01.760 at the same level

00:21:02.560 that our kids are getting.

00:21:04.540 And he found

00:21:05.040 the same thing

00:21:05.680 that Pichero did.

00:21:07.020 Within a week,

00:21:09.000 mercury

00:21:09.420 from the vaccine

00:21:11.080 was gone from the blood.

00:21:12.940 The mercury

00:21:13.480 from the tuna

00:21:14.160 was still

00:21:14.780 in those monkeys

00:21:15.780 54 days later.

00:21:18.600 But then

00:21:19.340 when he sacrificed

00:21:20.360 the monkeys,

00:21:21.540 which means

00:21:21.960 he killed them,

00:21:24.040 at a PM

00:21:24.800 and did

00:21:25.720 mercury content

00:21:27.260 post-mortem

00:21:28.540 of their brains,

00:21:30.000 what he found

00:21:30.900 was

00:21:31.360 that the mercury

00:21:33.020 in the brains

00:21:33.820 of the monkeys

00:21:35.020 who had gotten

00:21:35.720 the ethyl mercury

00:21:36.440 from the vaccines

00:21:37.480 was more than

00:21:39.060 double

00:21:39.440 what the monkey,

00:21:41.680 what the monkeys

00:21:42.800 had who had gotten

00:21:43.560 the tuna fish.

00:21:44.940 Not only that,

00:21:46.020 but the mercury

00:21:46.540 had metabolized

00:21:47.720 into organic mercury,

00:21:49.040 which is the most

00:21:50.280 toxic form of mercury.

00:21:52.880 And we now know

00:21:54.120 that 27 years later,

00:21:56.280 it is still

00:21:57.060 in the brain,

00:21:57.920 causing inflammation,

00:21:59.240 causing destruction.

00:22:01.120 So,

00:22:02.060 it's very clear

00:22:04.120 that ethyl mercury

00:22:05.500 is much worse

00:22:06.720 for your brain

00:22:07.860 than methylmercury.

00:22:09.920 Why does Paul Offit?

00:22:11.000 Paul Offit told me

00:22:11.920 the same story.

00:22:12.960 This is something

00:22:13.720 they repeat

00:22:14.340 and repeat

00:22:14.760 and repeat it

00:22:15.460 and they all know

00:22:16.360 it's untrue.

00:22:18.060 And that actually,

00:22:18.940 that conversation

00:22:19.600 that I had with him

00:22:20.740 that I taped,

00:22:22.880 and I hope

00:22:23.940 at some time

00:22:24.760 to depose him on,

00:22:27.480 when I said to him,

00:22:28.680 he said,

00:22:29.140 well, Bobby,

00:22:30.080 and, you know,

00:22:31.140 listen,

00:22:31.520 Paul Offit

00:22:32.180 was very sweet

00:22:33.160 to me on the phone.

00:22:34.140 He said,

00:22:34.880 I love your father.

00:22:37.620 He said,

00:22:38.140 I'm,

00:22:38.840 he said,

00:22:39.180 your father

00:22:39.960 is one of the reasons

00:22:41.040 that inspired me

00:22:42.960 to get into public health,

00:22:45.380 et cetera.

00:22:46.040 So,

00:22:46.300 I was inclined

00:22:47.440 to really like Paul Offit.

00:22:49.260 You know,

00:22:49.440 I'm susceptible

00:22:50.140 to that kind of flattery.

00:22:52.020 And then he started

00:22:53.240 saying things to me

00:22:54.620 that I knew weren't true

00:22:55.660 and I asked him

00:22:56.480 this question.

00:22:57.840 I said,

00:22:58.580 how is it

00:22:59.440 that the CDC

00:23:00.460 recommends

00:23:02.380 that pregnant women

00:23:03.420 will not

00:23:04.540 eat tuna fish sandwiches

00:23:06.100 and yet

00:23:07.240 they're giving

00:23:07.720 flu shots

00:23:08.760 and other shots,

00:23:09.840 DTP shots,

00:23:11.700 the same women

00:23:12.800 where the mercury

00:23:14.420 is not going

00:23:15.280 to be filtered out

00:23:16.080 by stomach acids

00:23:17.240 or by gastric fluids

00:23:18.600 or the gastric process

00:23:19.660 directly into the blood

00:23:21.320 and,

00:23:22.640 and much greater loads

00:23:24.180 than you would get

00:23:24.820 from a tuna fish sandwich.

00:23:26.080 And he told me

00:23:26.820 that story.

00:23:27.500 He said,

00:23:27.960 Bobby,

00:23:28.700 it's because there's

00:23:29.500 two kinds of mercury.

00:23:31.420 There's a good mercury,

00:23:33.140 which is ethylmercury

00:23:34.080 in vaccine,

00:23:34.640 and there's a bad mercury,

00:23:37.100 the methylmercury

00:23:37.920 in fish.

00:23:38.720 And I knew at that time

00:23:40.200 that I was being lied to

00:23:41.800 because I knew a lot

00:23:42.840 about mercury

00:23:43.540 having litigated it,

00:23:44.840 which is like getting a PhD.

00:23:47.240 And I knew that

00:23:48.840 there is no such thing

00:23:50.500 as a good mercury

00:23:51.340 and a bad mercury.

00:23:52.420 His argument

00:23:53.100 was not with me.

00:23:54.900 It was with

00:23:55.600 the periodic tables

00:23:56.940 and the periodic tables

00:23:58.780 would beat him.

00:24:00.460 So the,

00:24:00.820 the,

00:24:01.000 the fact that he is,

00:24:03.340 and I confronted him.

00:24:05.600 He,

00:24:05.880 I said,

00:24:06.220 how do you know it leaves?

00:24:07.480 He said,

00:24:07.940 because there's a study

00:24:09.180 by pitch arrow.

00:24:10.860 And I said,

00:24:11.760 Dr.

00:24:12.120 Hoffett,

00:24:13.060 what about the Burbacker study?

00:24:15.620 And there was dead silence

00:24:17.200 with the money.

00:24:17.740 And then he said to me,

00:24:18.720 and I can play you this tape.

00:24:20.580 He said,

00:24:21.340 you're right,

00:24:22.060 Bobby,

00:24:22.760 the pitch arrow study

00:24:23.760 doesn't really prove that

00:24:25.280 it's a mosaic of studies.

00:24:27.740 And I said,

00:24:28.300 a mosaic.

00:24:29.380 Can you cite any of them?

00:24:30.980 And he said,

00:24:31.940 I'll get back to you.

00:24:33.200 And that's the last

00:24:34.180 I ever heard of Paul Offit.

00:24:36.020 So he knows

00:24:37.000 what he was a lie.

00:24:39.160 By the way,

00:24:40.420 mercury is cumulative.

00:24:43.120 And Dr.

00:24:44.120 Offit is right.

00:24:45.960 The kids have many

00:24:46.740 exposures to mercury.

00:24:47.820 Vaccines are much worse.

00:24:49.340 And we know this

00:24:50.280 because of FDA's own studies,

00:24:53.320 their internal studies

00:24:54.540 that show

00:24:55.100 that kids,

00:24:56.520 their own

00:24:57.560 regulations

00:24:59.660 are receiving

00:25:01.580 huge amounts

00:25:02.900 of mercury

00:25:03.520 hundreds of times

00:25:05.440 what the EPA

00:25:06.440 maximized

00:25:07.200 exposures

00:25:08.000 are repeatedly

00:25:09.280 during childhood

00:25:10.480 from these vaccines.

00:25:12.980 But Paul is right

00:25:14.460 that

00:25:15.240 we're getting

00:25:16.700 mercury from everywhere.

00:25:18.480 You know,

00:25:18.680 this was not true

00:25:19.760 in pre-industrial times.

00:25:21.580 It was a source

00:25:22.620 of mercury

00:25:23.100 from the environment

00:25:24.000 because we were not

00:25:25.080 designed

00:25:25.780 for exposures

00:25:29.500 to all these

00:25:30.180 heavy metals.

00:25:31.320 We're getting them

00:25:32.280 out because

00:25:32.980 there's pollution

00:25:33.860 all around us

00:25:34.960 and there's

00:25:35.480 dental amalgams

00:25:36.560 and there's

00:25:36.960 all these other sources.

00:25:38.960 We know

00:25:39.500 that the

00:25:40.500 exposures

00:25:41.640 are cumulative.

00:25:43.200 Okay,

00:25:43.440 so let me jump in.

00:25:44.400 Let me jump in here

00:25:45.460 and advance it

00:25:46.680 because

00:25:47.320 the bottom line

00:25:49.340 is that in 1997

00:25:50.320 the FDA did a review

00:25:51.720 of this thimerosal

00:25:53.120 which has the mercury

00:25:54.300 which is what they put

00:25:55.120 in the vaccines

00:25:55.700 to preserve the vaccine

00:25:56.660 and the FDA found

00:25:58.320 that the mercury level

00:25:59.340 in the vaccine schedule

00:26:01.040 was too high.

00:26:02.920 The FDA found that.

00:26:04.100 They said they found

00:26:04.900 no evidence of harm

00:26:06.280 from the use of thimerosal

00:26:08.200 as a vaccine preservative

00:26:09.540 other than

00:26:10.420 local hypersensitivity reactions

00:26:12.360 and nonetheless though

00:26:13.780 they nixed it

00:26:15.040 from the childhood vaccines.

00:26:16.740 I mean,

00:26:17.000 so

00:26:17.140 whatever.

00:26:18.360 People can draw

00:26:18.780 their own conclusions

00:26:19.440 about what the FDA

00:26:20.400 really thought

00:26:21.040 but for whatever reason

00:26:22.460 it came out

00:26:23.300 or they said

00:26:23.980 it came out

00:26:24.820 but as you point out

00:26:26.180 it's still in the flu vaccine

00:26:27.140 which is given

00:26:27.640 to pregnant mothers

00:26:28.560 but of all

00:26:29.380 like the MMR

00:26:30.080 and all that

00:26:30.600 they took it out.

00:26:32.040 They said

00:26:32.640 there's no data

00:26:33.280 or evidence

00:26:33.740 of any harm

00:26:34.400 caused by

00:26:35.600 the level of exposure

00:26:36.680 that some children

00:26:37.300 may have encountered

00:26:37.980 in following

00:26:38.480 the existing

00:26:39.180 immunization schedule.

00:26:40.260 This is 1999

00:26:40.820 because the fear

00:26:42.460 in the 1990s

00:26:43.500 was that we upped

00:26:44.880 you write all about this

00:26:46.820 in your earlier book

00:26:48.040 but we basically

00:26:49.640 had a situation

00:26:50.400 where in the 1980s

00:26:52.460 these companies

00:26:53.600 could get sued.

00:26:54.500 These vaccine manufacturers

00:26:55.540 could still get sued

00:26:56.400 and so

00:26:57.260 one by one

00:26:57.800 they stopped

00:26:58.220 wanting to manufacture

00:26:59.540 vaccines.

00:27:00.380 I mean,

00:27:00.640 you know,

00:27:01.060 as a lawyer

00:27:01.500 that has a way

00:27:02.580 of happening

00:27:03.140 and so

00:27:04.160 under President Reagan

00:27:05.020 we gave them immunity

00:27:06.080 basically said

00:27:06.800 you can't sue them anymore.

00:27:08.040 We're going to create

00:27:08.420 a pot of money

00:27:09.060 for victims to sue

00:27:10.300 if they think

00:27:10.680 they've been vaccine injured

00:27:11.640 but you can't

00:27:12.360 you really can't sue

00:27:13.080 the vaccine manufacturers.

00:27:15.060 So they started

00:27:15.800 to develop more

00:27:16.700 and then lo and behold

00:27:17.840 the vaccine schedule

00:27:19.440 started to have

00:27:20.500 a bunch more requirements

00:27:21.480 for young kids.

00:27:22.440 So your pediatrician

00:27:23.120 in the 90s

00:27:23.720 was recommending

00:27:24.480 way more vaccines

00:27:25.240 for your kid

00:27:25.800 than back when

00:27:27.060 I was born in 1970

00:27:28.100 and parents started

00:27:29.420 to do it

00:27:29.880 and then in the 90s

00:27:31.020 we started to see

00:27:31.680 an uprise

00:27:32.380 in the number

00:27:33.400 of autism cases

00:27:34.420 cases of the

00:27:35.220 autism spectrum disorder

00:27:37.000 and the question

00:27:39.720 came from many parents

00:27:41.220 is there a link?

00:27:42.400 You know,

00:27:42.580 did I do something

00:27:43.980 to my child

00:27:44.700 when I gave him

00:27:45.640 all these many

00:27:46.760 vaccines

00:27:47.380 more than have

00:27:48.640 ever been required

00:27:49.440 in a short amount

00:27:50.640 of time

00:27:51.020 and then people

00:27:52.340 started to look

00:27:52.780 at the mercury

00:27:53.280 in the vaccines

00:27:54.020 to say could that

00:27:54.740 have been in

00:27:55.200 too much?

00:27:56.420 You know,

00:27:56.540 as Jenny McCarthy

00:27:57.100 said because she's

00:27:58.180 one of the parents

00:27:58.620 who believed

00:27:58.920 it happened

00:27:59.220 to her child

00:27:59.800 too many vaccines

00:28:02.040 in too short a time

00:28:03.560 and they did

00:28:05.940 study after study

00:28:07.080 after study

00:28:07.520 after study

00:28:08.000 after study

00:28:08.480 and what the

00:28:10.160 medical community

00:28:10.940 concluded

00:28:12.420 right,

00:28:12.920 I'm not going to say

00:28:13.380 I'm not a scientist

00:28:14.260 what they concluded

00:28:15.080 is that

00:28:15.640 mercury or no

00:28:17.420 mercury,

00:28:18.040 right,

00:28:18.200 like mercury

00:28:18.760 no one's making

00:28:19.660 the case that

00:28:20.160 it's perfectly safe

00:28:21.000 but that it didn't

00:28:22.740 cause autism

00:28:23.720 that that rise

00:28:25.540 in autism

00:28:26.640 could not be linked

00:28:28.100 to thimerosal

00:28:29.060 and even when they

00:28:30.520 took thimerosal

00:28:31.180 out of all these

00:28:31.840 vaccines

00:28:32.320 the number of

00:28:33.200 autism cases

00:28:33.800 continued to go up

00:28:34.640 so they used that

00:28:35.800 to say

00:28:36.320 you know,

00:28:37.600 the argument

00:28:37.940 that the vaccines

00:28:39.000 in the 90s

00:28:39.560 were causing

00:28:39.920 autism in children

00:28:40.680 is it falls apart

00:28:42.340 when you look at

00:28:42.900 what happened

00:28:43.600 after we took it out

00:28:44.260 which is the cases

00:28:44.840 kept going up

00:28:45.560 the reason

00:28:46.220 you know,

00:28:47.080 they kept going up

00:28:47.780 and the reason

00:28:48.700 they were going up

00:28:49.180 in the 90s

00:28:49.640 is because

00:28:49.980 we were casting

00:28:50.800 a wider net

00:28:51.820 for what would fall

00:28:52.900 within autism

00:28:53.680 and what wouldn't

00:28:54.460 you know,

00:28:54.680 we were more awake

00:28:55.760 to what that disorder

00:28:57.800 looks like

00:28:58.460 and we were slapping

00:28:59.700 the proper label

00:29:00.380 on it

00:29:00.720 it wasn't anything

00:29:01.540 to do

00:29:02.060 with the vaccines

00:29:03.200 okay,

00:29:05.600 well those

00:29:06.120 you raised a number

00:29:06.980 of issues there

00:29:07.800 and again

00:29:08.240 these are all

00:29:09.140 classic

00:29:10.060 industry talking

00:29:11.320 points

00:29:11.820 but let's

00:29:12.560 take them

00:29:12.940 one at a time

00:29:13.660 number one

00:29:15.940 the

00:29:17.340 mercury

00:29:18.680 was not removed

00:29:19.840 from the vaccines

00:29:20.860 in 2003

00:29:21.660 it was removed

00:29:22.440 from some of the

00:29:23.420 pediatric vaccines

00:29:24.640 but at the same

00:29:25.540 time

00:29:26.220 CDC

00:29:27.860 mandated

00:29:29.100 for the first

00:29:29.600 time

00:29:29.760 what they call

00:29:30.280 recommended

00:29:30.880 flu vaccines

00:29:35.020 for pregnant women

00:29:36.120 and for children

00:29:37.100 in every

00:29:38.060 year of life

00:29:39.320 so the vaccines

00:29:41.120 that they took

00:29:41.680 out

00:29:42.000 were vaccines

00:29:42.640 they were giving

00:29:43.220 one, two, three

00:29:44.620 four times

00:29:45.520 to kids

00:29:46.120 and now

00:29:46.840 they're giving

00:29:47.240 kids vaccines

00:29:48.380 every single year

00:29:49.620 and for the first

00:29:51.340 15 years

00:29:53.580 85 to 95%

00:29:55.780 of the flu

00:29:56.640 vaccines

00:29:57.360 had bolus

00:29:58.220 dose of mercury

00:29:59.020 meaning 25

00:30:00.020 micrograms

00:30:00.860 huge doses

00:30:02.040 the maximum

00:30:03.540 exposure is one

00:30:04.440 micrograms

00:30:05.080 so they were

00:30:05.460 getting it again

00:30:06.100 and again

00:30:06.520 and again

00:30:06.980 furthermore

00:30:08.400 for the first

00:30:09.040 time they're

00:30:09.600 recommending

00:30:10.200 flu vaccines

00:30:11.320 to pregnant

00:30:12.380 women

00:30:12.860 next

00:30:13.980 the mercury

00:30:15.780 when it was

00:30:16.640 taken out

00:30:17.340 of the other

00:30:18.100 vaccines

00:30:18.600 was replaced

00:30:19.780 with aluminum

00:30:20.800 and aluminum

00:30:21.860 is also

00:30:22.940 very very

00:30:24.280 similar

00:30:24.760 very potent

00:30:25.540 neurotoxin

00:30:26.380 so now

00:30:27.760 we're giving

00:30:28.280 kids

00:30:28.800 aluminum

00:30:29.380 vaccines

00:30:30.100 and in

00:30:30.680 the same

00:30:31.380 wellness

00:30:32.480 visit

00:30:32.940 you're

00:30:33.680 giving them

00:30:34.220 a mercury

00:30:34.780 flu shot

00:30:35.460 so you know

00:30:36.620 the science

00:30:38.560 on the impacts

00:30:39.600 on autism

00:30:40.700 are unclear

00:30:43.280 and you know

00:30:44.100 anybody who

00:30:45.200 who's

00:30:46.460 looked at

00:30:46.980 what CDC

00:30:47.700 and NIH

00:30:48.500 and FDA

00:30:49.440 behavior

00:30:50.020 during COVID

00:30:50.680 understands

00:30:51.560 that these

00:30:52.200 are industries

00:30:53.200 that are not

00:30:54.160 doing public

00:30:54.860 health

00:30:55.140 they are doing

00:30:56.000 pharmaceutical

00:30:57.240 profit promotion

00:30:59.000 look out

00:31:01.020 and look

00:31:01.720 at the

00:31:02.500 this doc

00:31:03.240 this movie

00:31:04.040 that is now

00:31:04.720 on Netflix

00:31:05.420 called

00:31:05.760 or Hulu

00:31:06.420 called

00:31:06.760 Dope Sick

00:31:07.360 yeah

00:31:08.200 we've seen

00:31:08.620 it

00:31:08.780 we interviewed

00:31:09.540 the creator

00:31:10.080 FDA

00:31:11.620 conspired

00:31:12.680 with

00:31:13.280 pharmaceutical

00:31:13.860 makers

00:31:14.400 to

00:31:14.940 addict

00:31:16.060 American

00:31:17.800 children

00:31:18.300 to opiates

00:31:19.080 100%

00:31:20.040 true

00:31:20.280 right

00:31:21.160 and so

00:31:21.780 this is

00:31:22.140 the same

00:31:22.580 FDA

00:31:23.000 and the

00:31:23.860 same

00:31:24.180 companies

00:31:24.780 that are

00:31:25.120 now

00:31:25.440 killing

00:31:26.000 56,000

00:31:27.160 kids a

00:31:27.700 year

00:31:28.120 with opioids

00:31:29.720 more kids

00:31:30.700 every year

00:31:31.480 and were killed

00:31:32.900 in the 20

00:31:33.440 year

00:31:33.800 Vietnam War

00:31:34.900 these are

00:31:36.080 companies

00:31:36.620 any

00:31:37.360 these are

00:31:38.560 companies

00:31:39.020 that are

00:31:39.500 in the world

00:31:40.220 that are

00:31:40.560 in many

00:31:41.000 cases

00:31:41.380 criminal

00:31:41.900 you know

00:31:42.340 Pfizer

00:31:42.760 paid the

00:31:43.340 work

00:31:43.620 the highest

00:31:44.300 criminal

00:31:44.720 penalties

00:31:45.380 of any

00:31:45.780 corporation

00:31:46.420 in history

00:31:46.920 these are

00:31:47.340 serial felons

00:31:48.660 and they

00:31:50.000 have captured

00:31:50.560 the agency

00:31:51.320 that's supposed

00:31:51.900 to be

00:31:52.160 protecting us

00:31:52.900 from their

00:31:53.280 behavior

00:31:53.820 well wait a minute

00:31:54.500 let me let me

00:31:55.280 pause you

00:31:55.520 I agree with

00:31:56.140 I agree

00:31:56.920 that they're

00:31:57.660 the the public

00:31:58.760 health agencies

00:31:59.380 have proven

00:31:59.860 over the course

00:32:00.340 of COVID

00:32:00.700 that they're

00:32:01.460 nothing of the

00:32:01.900 kind

00:32:02.160 that they are

00:32:02.780 in bed

00:32:03.320 with democrat

00:32:03.960 politicians

00:32:04.500 and with big

00:32:05.060 pharma

00:32:05.420 and their

00:32:06.280 behavior to

00:32:06.760 this day

00:32:07.160 it confirms

00:32:07.640 that in many

00:32:08.120 ways and we'll

00:32:08.820 talk about that

00:32:09.580 but but on the

00:32:10.560 subject of

00:32:10.920 vaccines if you

00:32:12.080 go back what if

00:32:12.860 they're so bad

00:32:13.720 right it's like

00:32:14.220 then why are

00:32:14.720 why isn't

00:32:15.160 everyone sick

00:32:15.820 why why don't

00:32:16.580 we all have

00:32:16.960 why don't we

00:32:17.940 all have autism

00:32:18.800 and why why

00:32:19.940 did you give

00:32:20.420 them to your

00:32:20.880 kids

00:32:21.240 stay tuned for

00:32:23.880 robert's response

00:32:24.940 next but first

00:32:26.540 we did reach out

00:32:27.560 to dr paul off it

00:32:28.720 on robert's claim

00:32:29.740 that he has dr

00:32:30.680 off it on tape

00:32:31.720 admitting that

00:32:33.100 he shares

00:32:33.520 concerns about

00:32:34.380 ethyl mercury

00:32:35.180 in vaccines

00:32:35.940 dr off it

00:32:37.080 confirmed that

00:32:37.860 robert did

00:32:38.460 indeed once

00:32:39.100 record him

00:32:39.880 but he told

00:32:40.940 us if he said

00:32:42.060 what robert is

00:32:42.780 alleging on that

00:32:43.740 tape robert would

00:32:44.540 have released it

00:32:45.160 publicly by now

00:32:46.040 we followed up

00:32:46.700 with robert's team

00:32:47.420 on his offer to

00:32:48.240 play us the

00:32:48.980 tape they said

00:32:50.100 he recently

00:32:50.620 moved and that

00:32:51.600 it would be

00:32:51.900 difficult to find

00:32:52.720 in time for

00:32:53.660 our air date

00:32:54.480 also regarding

00:32:55.840 aluminum in

00:32:57.100 vaccines we

00:32:58.300 spoke with one

00:32:58.780 of our trusted

00:32:59.280 doctors dr david

00:33:01.120 dowdy an

00:33:01.740 infectious disease

00:33:02.720 epidemiologist at

00:33:04.020 johns hopkins

00:33:04.700 bloomberg school

00:33:05.820 of public health

00:33:06.600 he's been on our

00:33:07.220 show before he

00:33:08.520 says it's important

00:33:09.320 to remember that

00:33:10.160 the amount of

00:33:10.600 aluminum in

00:33:11.320 vaccines is

00:33:12.080 substantially lower

00:33:13.240 than the aluminum

00:33:14.420 we inadvertently

00:33:15.560 eat and drink

00:33:17.360 and put under our

00:33:18.600 arms and deodorant

00:33:19.700 every day we'll be

00:33:22.020 right back

00:33:22.380 on the subject

00:33:30.580 of vaccines

00:33:31.180 if you go back

00:33:32.300 if they're so

00:33:33.140 bad right it's

00:33:33.960 like then why

00:33:34.420 aren't why isn't

00:33:35.000 everyone sick

00:33:35.660 why why don't we

00:33:36.520 all have

00:33:36.800 why don't we

00:33:37.780 all have autism

00:33:38.600 and why why did

00:33:39.980 you give them to

00:33:40.520 your kids

00:33:41.060 well because i

00:33:41.880 didn't know like

00:33:42.580 most american

00:33:43.380 parents i didn't

00:33:44.400 know i just

00:33:44.900 believe when my

00:33:45.880 doctor said i

00:33:47.020 wasn't in this

00:33:47.800 space i wasn't

00:33:48.800 studying what was

00:33:49.600 happening if i had

00:33:51.680 to go back i

00:33:52.360 would not but

00:33:54.440 here here's the

00:33:55.640 thing megan is

00:33:56.920 that you know

00:33:58.080 if we are to

00:34:00.300 say that kids

00:34:01.080 aren't sick

00:34:01.880 explain what

00:34:03.600 happened with

00:34:04.160 autism but you

00:34:05.420 just said it's

00:34:06.120 simply not true

00:34:07.000 that we're just

00:34:07.880 noticing it more

00:34:08.880 you mean we

00:34:10.000 missed it before

00:34:10.960 that's not from

00:34:11.500 me that's from

00:34:12.160 the experts

00:34:12.620 right i know

00:34:13.260 it's not from

00:34:13.800 you i hear it

00:34:14.420 all the time but

00:34:15.140 missing autism is

00:34:16.300 like missing a

00:34:17.000 train wreck you

00:34:17.780 can't do it

00:34:18.600 listen i was

00:34:19.840 raised i i

00:34:21.680 i'll tell you

00:34:22.160 a couple of

00:34:22.640 things one

00:34:23.360 we have gone

00:34:25.520 the autism

00:34:26.540 rates which

00:34:27.580 you know the

00:34:28.720 scientists in

00:34:29.600 the 40s and

00:34:30.260 50s were as

00:34:31.200 smarter smarter

00:34:31.980 than the

00:34:32.360 scientists today

00:34:33.080 they knew what

00:34:33.920 they were looking

00:34:34.520 at the first

00:34:35.260 scientist to

00:34:36.060 ever see autism

00:34:37.280 to identify was

00:34:38.500 leo canner in

00:34:39.460 1934 and he's

00:34:42.300 and nothing like

00:34:43.220 this has ever been

00:34:43.940 seen before in

00:34:44.760 science and will

00:34:45.520 never be seen

00:34:46.320 again it was

00:34:47.960 genuinely rare i

00:34:49.760 was raised in

00:34:50.860 you know in

00:34:51.780 the heart at

00:34:52.600 the spear

00:34:53.080 tip of the

00:34:54.140 movement to

00:34:54.680 provide people

00:34:56.520 with children

00:34:57.340 with intellectual

00:34:57.980 disabilities right

00:34:59.320 my aunt

00:35:00.100 unis who was

00:35:00.960 my godmother

00:35:01.720 started special

00:35:02.780 olympics 10

00:35:04.020 miles from my

00:35:04.740 home i worked

00:35:05.460 there every

00:35:06.120 weekend when i

00:35:06.780 was a kid as

00:35:08.540 a hugger a

00:35:09.340 coach from when

00:35:09.980 i was eight

00:35:10.460 years old it

00:35:12.060 was called

00:35:12.420 camp driver then

00:35:13.440 we changed it

00:35:14.640 in 1968 the

00:35:16.120 special olympics i

00:35:17.460 did because of

00:35:18.240 my family's

00:35:19.780 immersion that

00:35:21.680 part of our

00:35:22.460 dna is you

00:35:24.000 know is

00:35:24.680 serving the

00:35:25.780 community of

00:35:26.440 people with

00:35:28.020 intellectual

00:35:28.800 disabilities i

00:35:31.060 spent 200

00:35:31.840 hours during my

00:35:33.340 high school

00:35:33.900 years at

00:35:34.620 waseic home

00:35:35.380 for the

00:35:35.620 retarded in

00:35:37.040 upstate new

00:35:37.780 york as a

00:35:38.440 helper i never

00:35:40.300 saw a case of

00:35:41.300 full-blown

00:35:41.940 autism you know

00:35:42.960 people back then

00:35:43.960 you had a quirky

00:35:44.980 uncle or somebody

00:35:46.140 who didn't have

00:35:46.680 social skills

00:35:47.440 full-blown

00:35:49.260 autism we

00:35:50.280 never saw we

00:35:50.940 didn't see it in

00:35:51.560 special olympics

00:35:52.360 we prided

00:35:53.320 ourselves on

00:35:54.120 being able to

00:35:54.780 accommodate every

00:35:55.540 child no matter

00:35:56.320 how debilitating

00:35:58.920 their disability

00:35:59.820 so even children

00:36:01.100 who are functionally

00:36:01.960 vegetative we

00:36:04.160 could put them

00:36:04.740 on a platform

00:36:05.740 and have them

00:36:06.980 teach them to

00:36:07.580 push a bean

00:36:08.660 bag off onto

00:36:10.280 the ground and

00:36:11.000 people would

00:36:11.460 cheer for them

00:36:12.120 and make it a

00:36:13.260 good event

00:36:13.860 the kids today

00:36:15.720 kids who are

00:36:16.500 these kids

00:36:17.380 that we're

00:36:17.700 seeing with

00:36:18.120 autism that

00:36:18.780 are non-verbal

00:36:19.700 non-toilet

00:36:20.820 trained

00:36:21.100 screaming

00:36:22.280 biting

00:36:23.160 headbanging

00:36:24.240 violent

00:36:25.120 toe-walking

00:36:27.740 stemming

00:36:28.320 we never saw

00:36:29.180 kids like that

00:36:30.020 in the 60s

00:36:30.760 and 70s

00:36:31.340 we just

00:36:31.680 today

00:36:32.680 to this

00:36:33.620 day

00:36:33.980 i have

00:36:35.940 never seen

00:36:36.880 somebody my

00:36:38.100 age

00:36:38.600 68 years

00:36:40.540 old

00:36:40.900 who has

00:36:42.360 full-clone

00:36:42.820 autism

00:36:43.320 where are

00:36:44.000 they

00:36:44.260 okay but

00:36:45.320 wait but

00:36:45.760 let me let

00:36:46.420 me ask you

00:36:46.820 because i

00:36:47.160 know you

00:36:47.560 as an

00:36:47.760 environmental

00:36:48.100 lawyer have

00:36:48.780 to this

00:36:49.460 day say

00:36:50.180 there's all

00:36:51.060 sorts of

00:36:51.580 things in

00:36:51.880 the environment

00:36:52.360 that may be

00:36:53.000 poisoning us

00:36:53.820 you know you

00:36:54.860 i'm sure you

00:36:55.440 could give us

00:36:55.760 the list right

00:36:56.420 to make a link

00:36:57.100 to the vaccines

00:36:57.860 is a bridge

00:36:58.720 too far

00:36:59.180 actually a

00:37:00.020 doctor out

00:37:00.600 there who

00:37:00.980 has made

00:37:01.500 that list

00:37:02.120 because you

00:37:02.660 have to

00:37:03.060 what happening

00:37:04.700 is congress

00:37:06.240 at the epa

00:37:07.140 and by the way

00:37:08.260 there are many

00:37:08.960 many studies

00:37:09.780 including that

00:37:10.800 the mind

00:37:11.420 institute at

00:37:12.140 uc davis

00:37:13.080 commissioned by

00:37:13.880 the california

00:37:14.580 legislatures

00:37:15.240 to answer the

00:37:17.020 very question

00:37:17.880 that you just

00:37:18.940 asked could

00:37:19.640 this be

00:37:20.160 you know

00:37:21.000 changing

00:37:21.700 diagnostic

00:37:22.360 criteria

00:37:22.900 could it

00:37:23.380 be an

00:37:23.840 expanded

00:37:24.380 knowledge

00:37:24.800 of

00:37:24.960 diagnosis

00:37:25.780 the answer

00:37:27.360 they've said

00:37:27.820 persistently

00:37:28.500 one after the

00:37:29.180 other is

00:37:29.740 no

00:37:30.180 whoever told

00:37:32.280 you that

00:37:32.700 from the

00:37:33.080 industry

00:37:33.580 knows that

00:37:35.300 this is

00:37:35.680 true

00:37:35.940 no no

00:37:36.640 i'm citing

00:37:37.180 i've read

00:37:38.000 your book

00:37:38.760 and i know

00:37:39.380 you say

00:37:39.800 why why

00:37:40.360 wasn't dr

00:37:40.980 fauci studying

00:37:41.840 things like

00:37:42.440 corn syrup

00:37:43.220 you know

00:37:43.560 like just

00:37:43.940 other toxins

00:37:44.880 well whatever

00:37:46.220 about corn syrup

00:37:46.900 but other toxins

00:37:47.620 in the environment

00:37:48.280 exactly so

00:37:49.720 here's what

00:37:50.320 congress said

00:37:51.080 congress said

00:37:51.980 the epa

00:37:53.020 and epa

00:37:54.360 is not a public

00:37:55.000 health agency

00:37:55.700 it's not part

00:37:56.820 of hhs

00:37:57.600 all the other

00:37:58.520 ones are

00:37:58.940 nih

00:37:59.400 cdc and fda

00:38:00.560 and they're all

00:38:01.280 in the pocket

00:38:01.780 of pharma

00:38:02.280 but epa

00:38:03.240 is in the pocket

00:38:03.860 of the oil

00:38:04.320 industry

00:38:04.720 but they don't

00:38:05.180 care about pharma

00:38:06.020 they said

00:38:07.800 congress said

00:38:08.780 the epa

00:38:09.580 tell us

00:38:10.520 what year

00:38:10.920 the autism

00:38:11.460 epidemic

00:38:11.940 began

00:38:12.480 and the epa

00:38:13.600 scientists

00:38:14.120 came back

00:38:15.000 and said

00:38:15.580 it's a red

00:38:16.360 line

00:38:16.700 1989

00:38:17.520 what happened

00:38:19.340 in 1989

00:38:20.060 as you pointed

00:38:20.900 out we passed

00:38:21.740 the vaccine

00:38:22.280 act in 1986

00:38:23.420 we gave

00:38:24.100 immunity

00:38:24.560 from liability

00:38:25.460 to all the

00:38:25.920 companies

00:38:26.420 there was

00:38:27.940 gold rush

00:38:28.640 because suddenly

00:38:29.540 the biggest

00:38:30.180 cost of producing

00:38:31.180 pharmaceuticals

00:38:32.060 and marketing

00:38:32.500 pharmaceuticals

00:38:33.400 which is

00:38:33.780 downstream

00:38:34.280 liabilities

00:38:35.020 had been

00:38:35.480 eliminated

00:38:36.000 they also

00:38:37.440 didn't have

00:38:38.180 to do

00:38:38.600 upstream

00:38:39.160 testing

00:38:39.820 so two

00:38:40.880 of the

00:38:41.120 biggest

00:38:41.360 costs

00:38:41.740 were gone

00:38:42.280 plus

00:38:42.940 they don't

00:38:44.000 have to do

00:38:44.360 advertising

00:38:44.960 and marketing

00:38:45.560 because

00:38:46.180 the product

00:38:47.400 is mandated

00:38:48.080 to 76

00:38:49.000 million

00:38:49.520 American

00:38:49.980 children

00:38:50.420 so it's

00:38:51.380 a dream

00:38:51.900 product

00:38:52.340 for them

00:38:52.780 and they

00:38:53.240 can charge

00:38:53.760 basically

00:38:54.280 anything

00:38:54.700 they want

00:38:55.300 it was

00:38:56.720 a gold rush

00:38:57.340 and they added

00:38:57.800 all these

00:38:58.500 new vaccines

00:38:59.400 to the schedule

00:39:00.160 and people

00:39:00.680 when they think

00:39:01.100 of vaccines

00:39:01.620 think of polio

00:39:02.400 and smallpox

00:39:03.420 and the

00:39:03.760 miracle

00:39:04.140 of eliminating

00:39:05.600 those

00:39:05.900 but

00:39:06.140 these were

00:39:07.960 you know

00:39:08.460 many of

00:39:09.000 these diseases

00:39:09.860 completely

00:39:11.240 unnecessary

00:39:12.000 to vaccinate

00:39:12.760 against

00:39:13.240 things like

00:39:14.760 that are

00:39:15.720 not even

00:39:16.240 casually

00:39:16.620 contagious

00:39:17.120 like hepatitis B

00:39:18.280 that you get

00:39:18.940 from you know

00:39:19.760 unprotected sex

00:39:21.140 with you know

00:39:22.180 or from

00:39:24.000 from using

00:39:26.240 from sharing

00:39:27.200 needles

00:39:27.800 to a day

00:39:30.400 old baby

00:39:30.980 and yet

00:39:31.680 and yet

00:39:31.700 rotavirus

00:39:33.320 hepatitis B

00:39:34.620 all of these

00:39:35.420 other

00:39:35.860 you know

00:39:36.380 so-called

00:39:36.880 diseases

00:39:37.340 that are

00:39:37.840 just

00:39:38.460 on the

00:39:39.560 schedule

00:39:39.920 because

00:39:40.440 vaccine

00:39:41.160 companies

00:39:41.660 can make

00:39:42.080 money

00:39:42.380 from them

00:39:43.000 what about

00:39:43.620 measles

00:39:44.020 me

00:39:46.300 well

00:39:46.660 MMR

00:39:47.320 vaccine

00:39:48.000 never

00:39:48.580 had

00:39:48.900 mercury

00:39:49.280 in it

00:39:49.880 let me

00:39:50.940 just tell

00:39:51.400 you what

00:39:51.700 happened

00:39:52.080 and I'll

00:39:53.060 answer that

00:39:53.820 question

00:39:54.260 to

00:39:54.500 the

00:39:56.840 because

00:39:57.880 it's a

00:39:58.240 complex

00:39:58.740 issue

00:39:59.160 because

00:39:59.820 the

00:40:00.340 measles

00:40:00.960 vaccine

00:40:01.520 definitely

00:40:02.040 eliminates

00:40:02.660 measles

00:40:03.260 or

00:40:03.700 you know

00:40:03.960 or

00:40:04.040 close

00:40:04.540 eliminates

00:40:05.260 it

00:40:05.480 there

00:40:06.800 are

00:40:07.120 breakthrough

00:40:07.640 cases

00:40:08.380 first of all

00:40:09.600 there's a

00:40:09.940 number of

00:40:10.280 questions

00:40:10.720 you have

00:40:11.240 to ask

00:40:11.680 it

00:40:12.440 was

00:40:13.220 measles

00:40:13.880 a killer

00:40:15.200 disease

00:40:15.640 it clearly

00:40:16.440 was at the

00:40:17.040 beginning

00:40:17.280 of the

00:40:17.600 century

00:40:17.980 in 1963

00:40:20.500 it was

00:40:21.480 killing only

00:40:22.120 400

00:40:22.620 kids a

00:40:23.420 year

00:40:23.620 mainly

00:40:25.000 they were

00:40:25.660 kids

00:40:26.260 who were

00:40:27.480 who had

00:40:28.020 malnutrition

00:40:28.680 or some

00:40:29.720 other

00:40:30.040 devastating

00:40:30.960 comorbidity

00:40:31.920 a lot

00:40:33.380 of them

00:40:33.760 were

00:40:34.080 black

00:40:34.600 children

00:40:35.000 in the

00:40:35.200 Mississippi

00:40:35.580 Delta

00:40:36.120 this is

00:40:36.680 before we

00:40:37.300 had the

00:40:37.720 poverty

00:40:38.040 programs

00:40:38.700 and my

00:40:39.640 father went

00:40:40.280 down there

00:40:40.820 and found

00:40:41.360 severe

00:40:42.140 malnutrition

00:40:43.160 like you'd

00:40:43.680 see in

00:40:43.940 Africa

00:40:44.380 or South

00:40:45.300 Asia

00:40:45.700 those were

00:40:47.420 the kids

00:40:47.840 who were

00:40:48.060 dying

00:40:48.400 it was

00:40:49.040 the death

00:40:50.080 rate was

00:40:50.620 one in

00:40:51.140 500,000

00:40:52.160 two in a

00:40:53.080 million

00:40:53.300 is very

00:40:54.000 very small

00:40:54.620 for measles

00:40:55.200 and the

00:40:56.880 measles

00:40:57.140 vaccine

00:40:57.700 you know

00:40:58.340 started in

00:40:59.240 1963

00:40:59.800 it never

00:41:00.600 had thimerosal

00:41:01.520 in it

00:41:01.780 because it's

00:41:02.100 a live

00:41:02.440 virus vaccine

00:41:03.340 we had

00:41:06.000 and then

00:41:06.860 in

00:41:07.180 in

00:41:08.900 1999

00:41:11.520 CDC

00:41:13.800 did a

00:41:14.880 study

00:41:15.320 an internal

00:41:15.920 study

00:41:16.300 because of

00:41:16.960 what you

00:41:17.580 said

00:41:18.100 a few

00:41:18.820 minutes ago

00:41:19.360 many

00:41:19.940 all of

00:41:20.720 a sudden

00:41:21.040 beginning

00:41:21.920 in

00:41:22.160 89

00:41:22.520 you know

00:41:24.060 we went

00:41:24.500 ultimately

00:41:25.040 from three

00:41:25.620 vaccines

00:41:26.160 that I

00:41:26.500 have a

00:41:26.880 kid

00:41:27.160 that I

00:41:28.020 took as

00:41:28.340 a kid

00:41:28.660 to the

00:41:29.280 72

00:41:29.960 doses

00:41:31.420 of 16

00:41:33.380 vaccines

00:41:33.920 that my

00:41:34.300 children

00:41:34.540 had to

00:41:34.960 take

00:41:35.220 and

00:41:36.740 this

00:41:37.720 began

00:41:38.160 in the

00:41:38.460 90s

00:41:39.180 and in

00:41:39.720 the 90s

00:41:40.260 people

00:41:40.500 started to

00:41:41.080 seeing this

00:41:41.520 explosion

00:41:42.280 of neurological

00:41:42.880 disorders

00:41:43.700 and it

00:41:44.000 wasn't just

00:41:44.500 autism

00:41:44.980 autism

00:41:45.500 went from

00:41:46.060 one in

00:41:46.440 10,000

00:41:47.380 or three

00:41:48.260 in 10,000

00:41:48.980 depending on

00:41:49.540 what studies

00:41:50.160 you follow

00:41:50.840 to one

00:41:52.500 in 44

00:41:53.320 kids

00:41:54.160 today

00:41:54.580 but not

00:41:56.660 only autism

00:41:57.280 all the

00:41:57.940 neurodevelopmental

00:41:58.660 disorders

00:41:59.140 the ADD

00:41:59.900 ADHD

00:42:00.500 speech

00:42:01.200 language

00:42:01.800 tics

00:42:02.640 I never

00:42:03.500 heard of

00:42:03.820 tics

00:42:04.060 when I

00:42:04.320 was

00:42:04.460 11

00:42:05.020 brothers

00:42:05.640 70

00:42:06.040 cousins

00:42:06.580 never

00:42:07.840 knew

00:42:08.040 anybody

00:42:08.360 with

00:42:08.600 tics

00:42:08.960 narcolepsy

00:42:10.780 ASD

00:42:11.640 and autism

00:42:12.100 the

00:42:12.580 allergic

00:42:13.360 disease

00:42:13.820 suddenly

00:42:14.320 appeared

00:42:14.980 peanut

00:42:15.500 I never

00:42:16.200 knew

00:42:16.380 anybody

00:42:16.680 with a

00:42:16.960 peanut

00:42:17.180 allergy

00:42:17.540 why do

00:42:18.040 five of

00:42:18.560 my seven

00:42:18.960 kids

00:42:19.260 have

00:42:19.400 allergies

00:42:19.840 eczema

00:42:21.260 asthma

00:42:23.600 which

00:42:24.320 we had

00:42:25.540 but

00:42:26.020 it's now

00:42:26.880 one in

00:42:27.220 every four

00:42:27.660 black

00:42:28.040 children

00:42:28.400 we never

00:42:29.780 saw

00:42:30.120 I get

00:42:30.760 all that

00:42:30.960 but that

00:42:31.160 doesn't

00:42:31.400 prove causality

00:42:32.100 you talk

00:42:34.300 to anybody

00:42:34.840 who's my

00:42:35.500 age

00:42:35.900 these are

00:42:36.440 all new

00:42:36.760 diseases

00:42:37.200 we went

00:42:38.000 I get

00:42:39.280 it

00:42:39.460 but

00:42:39.780 when Tony

00:42:40.540 Fauci

00:42:40.980 came into

00:42:41.480 office

00:42:41.980 because this

00:42:42.420 answers your

00:42:42.920 previous

00:42:43.220 question

00:42:43.640 why aren't

00:42:44.200 we

00:42:44.340 we are

00:42:45.580 and Tony

00:42:46.680 Fauci

00:42:47.020 came into

00:42:47.420 office

00:42:47.800 6%

00:42:48.880 of

00:42:49.140 American

00:42:49.520 children

00:42:49.900 had

00:42:50.140 chronic

00:42:50.440 disease

00:42:50.960 okay

00:42:51.740 but that

00:42:52.100 doesn't

00:42:52.380 prove causality

00:42:53.300 with vaccines

00:42:54.720 by

00:42:55.740 2006

00:42:56.300 54%

00:42:57.740 now you

00:42:58.600 make the

00:42:59.040 point

00:42:59.340 there are

00:43:00.900 many other

00:43:01.460 exposures

00:43:02.140 besides

00:43:02.660 vaccines

00:43:03.180 our kids

00:43:04.600 today are

00:43:05.320 swimming

00:43:05.720 around

00:43:06.260 in a

00:43:06.820 toxic

00:43:07.140 soup

00:43:07.460 and I

00:43:08.740 don't just

00:43:09.120 work on

00:43:09.560 vaccines

00:43:10.060 I work

00:43:11.020 you know

00:43:11.460 I was

00:43:12.120 part of

00:43:12.440 the trial

00:43:12.800 team

00:43:13.100 in the

00:43:13.300 Monsanto

00:43:13.840 case

00:43:14.120 I work

00:43:14.680 on

00:43:14.860 pesticides

00:43:15.400 I work

00:43:16.300 on

00:43:16.480 neonicotinoids

00:43:17.460 I work

00:43:18.740 on

00:43:18.920 PFOAs

00:43:19.880 PFAs

00:43:20.580 I was

00:43:21.420 on the

00:43:21.780 trial team

00:43:22.380 that tried

00:43:22.820 the dark

00:43:23.300 waters

00:43:24.480 case

00:43:24.960 that Mark

00:43:25.400 Ruff

00:43:25.680 flows

00:43:26.020 now in

00:43:26.480 that movie

00:43:27.040 I do

00:43:28.460 EMFs

00:43:29.800 all of

00:43:30.440 these

00:43:30.600 different

00:43:30.880 exposures

00:43:31.500 that began

00:43:32.000 on the

00:43:32.460 same

00:43:32.660 timeline

00:43:33.240 but Phil

00:43:34.740 Landrigan

00:43:35.340 who's

00:43:35.660 probably

00:43:36.020 the most

00:43:36.440 famous

00:43:36.800 toxicologist

00:43:37.560 in this

00:43:38.000 country

00:43:38.460 Mount Sinai

00:43:39.620 in New

00:43:39.940 York

00:43:40.240 made a

00:43:41.920 list

00:43:42.280 of

00:43:42.800 11

00:43:43.800 potential

00:43:45.220 culprits

00:43:45.840 of

00:43:46.620 toxics

00:43:47.600 that became

00:43:48.100 ubiquitous

00:43:48.860 in 1989

00:43:49.840 following

00:43:51.640 that

00:43:51.980 timeline

00:43:53.300 you have

00:43:54.340 to find

00:43:54.800 something

00:43:55.360 that

00:43:55.720 impacted

00:43:57.000 every

00:43:57.600 demographic

00:43:58.200 in this

00:43:58.700 country

00:43:59.000 the same

00:43:59.600 year

00:43:59.960 which

00:44:00.380 you know

00:44:00.860 from

00:44:01.080 Cubans

00:44:01.760 in

00:44:01.960 Biscayne

00:44:02.480 Bay

00:44:02.700 to Inuit

00:44:03.280 in Alaska

00:44:03.940 there's

00:44:05.280 only a

00:44:05.660 small

00:44:05.920 number

00:44:06.240 of

00:44:06.420 those

00:44:06.740 and

00:44:07.880 it's

00:44:08.220 very

00:44:08.580 easy

00:44:09.240 so you

00:44:09.860 can

00:44:10.020 identify

00:44:10.460 them

00:44:10.780 and he

00:44:11.060 did

00:44:11.360 and one

00:44:11.800 of them

00:44:12.140 the potential

00:44:12.920 is the

00:44:13.440 vaccines

00:44:13.960 I think

00:44:15.480 all of

00:44:16.080 them

00:44:16.180 I think

00:44:16.520 these

00:44:16.780 impacts

00:44:17.300 and what

00:44:17.600 the science

00:44:18.100 shows

00:44:18.400 all these

00:44:18.920 impacts

00:44:19.340 are cumulative

00:44:20.020 and our

00:44:20.860 kids today

00:44:21.520 are sick

00:44:22.300 because we

00:44:22.860 are bombarding

00:44:23.780 their immune

00:44:24.220 systems

00:44:24.780 with these

00:44:25.320 toxics

00:44:25.880 that they

00:44:26.300 simply

00:44:26.680 cannot

00:44:27.020 handle

00:44:27.480 vaccines

00:44:28.980 is part

00:44:29.440 of that

00:44:29.760 story

00:44:30.120 and it's

00:44:30.940 probably

00:44:31.440 in my

00:44:33.320 view

00:44:33.640 the largest

00:44:34.320 single

00:44:34.820 cause

00:44:35.140 although all

00:44:35.780 of them

00:44:35.980 are very

00:44:36.320 big

00:44:36.660 now

00:44:37.040 in

00:44:38.000 1999

00:44:38.900 CDC

00:44:40.600 was also

00:44:41.480 alarmed

00:44:42.040 at the

00:44:42.600 same thing

00:44:43.080 that you

00:44:43.340 described

00:44:43.900 with the

00:44:44.200 parents

00:44:44.560 so they

00:44:45.960 decided

00:44:46.600 to do

00:44:47.520 an internal

00:44:48.400 study

00:44:48.900 of their

00:44:49.200 own

00:44:49.740 database

00:44:50.220 which is

00:44:50.820 called

00:44:51.020 the

00:44:51.200 vaccine

00:44:51.560 safety

00:44:52.160 data

00:44:52.520 link

00:44:52.860 it is

00:44:53.560 the

00:44:53.900 it's

00:44:55.340 the

00:44:55.520 medical

00:44:55.820 records

00:44:56.420 including

00:44:56.920 the

00:44:57.120 vaccination

00:44:57.520 records

00:44:58.180 of

00:44:59.220 10

00:44:59.500 million

00:44:59.740 kids

00:45:00.020 from

00:45:00.200 the

00:45:00.360 10

00:45:00.860 biggest

00:45:01.460 HMOs

00:45:02.580 so it's

00:45:03.260 all the

00:45:03.720 cumulative

00:45:04.040 medical

00:45:04.560 records

00:45:04.920 from all

00:45:05.300 those

00:45:05.500 HMOs

00:45:06.000 and are

00:45:06.160 all housed

00:45:06.760 in one

00:45:07.120 place

00:45:07.500 and they

00:45:09.020 studied

00:45:09.520 they said

00:45:10.260 let's

00:45:10.860 see if

00:45:11.600 these

00:45:11.860 mercury

00:45:12.220 vaccines

00:45:12.780 are causing

00:45:13.320 autism

00:45:13.760 so they

00:45:14.880 looked at

00:45:15.360 one vaccine

00:45:16.220 they can

00:45:16.680 look at

00:45:17.040 every

00:45:17.380 vaccine

00:45:18.060 record

00:45:18.380 and they

00:45:18.900 can look

00:45:19.340 at your

00:45:19.700 medical

00:45:20.080 claims

00:45:20.540 to see

00:45:20.960 if you

00:45:21.460 had

00:45:22.160 seizure

00:45:22.600 disorders

00:45:23.140 or allergies

00:45:24.300 or if

00:45:25.300 you have

00:45:25.500 an autism

00:45:25.940 diagnosis

00:45:26.680 they can

00:45:28.260 do a

00:45:28.640 cluster

00:45:29.040 analysis

00:45:29.560 and they

00:45:30.220 can look

00:45:30.760 for

00:45:31.160 associations

00:45:31.900 they

00:45:33.120 looked at

00:45:34.040 the

00:45:34.180 hepatitis

00:45:34.760 B

00:45:34.980 vaccine

00:45:35.460 which

00:45:35.820 is

00:45:35.980 loaded

00:45:36.360 with

00:45:36.580 mercury

00:45:36.960 during

00:45:37.520 the

00:45:37.720 first

00:45:38.220 30

00:45:38.960 days

00:45:39.220 of

00:45:39.340 life

00:45:39.480 kids

00:45:39.980 they

00:45:40.240 looked

00:45:40.520 at

00:45:40.680 kids

00:45:40.960 who

00:45:41.120 got

00:45:41.400 it

00:45:41.540 during

00:45:41.740 the

00:45:41.880 first

00:45:42.140 30

00:45:42.420 days

00:45:42.720 they

00:45:44.300 compared

00:45:44.760 them

00:45:45.000 to

00:45:45.160 kids

00:45:45.500 who

00:45:45.760 did

00:45:45.980 not

00:45:46.260 get

00:45:46.460 it

00:45:46.580 during

00:45:46.780 the

00:45:46.980 first

00:45:47.180 30

00:45:47.440 days

00:45:47.640 who

00:45:47.760 got

00:45:47.880 it

00:45:48.020 later

00:45:48.300 or

00:45:48.640 didn't

00:45:48.840 get

00:45:49.000 it

00:45:49.100 at

00:45:49.200 all

00:45:49.420 and

00:45:49.820 here's

00:45:50.140 what

00:45:50.300 they

00:45:50.480 found

00:45:50.760 the

00:45:51.720 relative

00:45:52.120 risk

00:45:52.540 of

00:45:52.740 smoking

00:45:53.080 a

00:45:53.260 pack

00:45:53.520 of

00:45:53.660 cigarettes

00:45:54.000 a

00:45:54.180 day

00:45:54.340 for

00:45:54.520 20

00:45:54.880 years

00:45:55.380 and

00:45:56.500 lung

00:45:56.780 cancer

00:45:57.160 is

00:45:57.760 10

00:45:58.260 this

00:45:59.720 was

00:46:00.200 11.35

00:46:01.800 they

00:46:02.240 knew

00:46:02.760 that

00:46:02.940 was

00:46:04.540 causing

00:46:04.980 from

00:46:05.620 thimerosal

00:46:06.340 and this

00:46:07.360 is what

00:46:07.760 the story

00:46:08.380 got me

00:46:09.220 involved

00:46:09.620 because

00:46:10.100 they

00:46:11.380 pushed

00:46:12.320 the panic

00:46:12.820 button

00:46:13.160 and they

00:46:13.500 had a

00:46:13.900 secret

00:46:14.320 meeting

00:46:14.880 they

00:46:15.300 didn't

00:46:15.500 want to

00:46:15.800 do it

00:46:16.020 on the

00:46:16.320 CDC

00:46:16.740 campus

00:46:17.280 because

00:46:17.720 they

00:46:17.920 thought

00:46:18.240 it

00:46:18.360 would

00:46:18.460 be

00:46:18.620 susceptible

00:46:19.160 to

00:46:19.420 freedom

00:46:19.740 information

00:46:20.340 requests

00:46:20.880 so they

00:46:22.160 did it

00:46:22.660 in a

00:46:23.200 remote

00:46:23.760 Methodist

00:46:24.640 retreat

00:46:25.140 center

00:46:25.600 on the

00:46:26.000 banks

00:46:26.380 of the

00:46:26.660 Chattahoochee

00:46:27.240 River

00:46:27.580 in

00:46:28.140 Norcross

00:46:28.760 Georgia

00:46:29.220 and it

00:46:29.900 was called

00:46:30.380 Simpsonwood

00:46:31.180 they had

00:46:32.460 a two-day

00:46:32.960 meeting

00:46:33.320 with 52

00:46:34.080 individuals

00:46:34.860 including

00:46:35.560 all the

00:46:36.160 major

00:46:36.380 vaccine

00:46:36.860 companies

00:46:37.460 regulatory

00:46:38.840 agencies

00:46:39.640 that administer

00:46:40.300 vaccines

00:46:40.980 WHO

00:46:41.720 CDC

00:46:42.460 FDA

00:46:43.200 NIH

00:46:44.020 HHS

00:46:44.660 and

00:46:46.200 the

00:46:46.720 leaders

00:46:47.260 the

00:46:48.340 leading

00:46:48.800 academic

00:46:49.840 vaccinators

00:46:52.560 so the

00:46:52.980 people

00:46:53.400 who

00:46:53.860 basically

00:46:54.440 conduct

00:46:54.920 clinical

00:46:55.360 trials

00:46:55.820 and

00:46:56.160 make

00:46:57.100 hundreds

00:46:57.600 of

00:46:57.860 millions

00:46:58.080 of

00:46:58.280 dollars

00:46:58.620 for

00:46:59.000 medical

00:46:59.260 schools

00:46:59.760 around

00:47:00.060 this

00:47:00.320 country

00:47:00.700 and

00:47:02.140 the

00:47:02.360 first

00:47:02.760 day

00:47:03.180 and

00:47:03.600 somebody

00:47:04.480 made

00:47:04.940 and

00:47:05.180 recorded

00:47:06.440 that

00:47:06.760 meeting

00:47:07.080 we

00:47:08.000 don't

00:47:08.240 know

00:47:08.460 why

00:47:08.780 we

00:47:09.440 don't

00:47:09.600 know

00:47:09.740 if

00:47:09.880 they

00:47:10.040 knew

00:47:10.280 they

00:47:10.440 were

00:47:10.580 being

00:47:10.800 recorded

00:47:11.160 but

00:47:11.320 I

00:47:11.740 got

00:47:11.940 a

00:47:12.060 hold

00:47:12.240 of

00:47:12.340 the

00:47:12.460 transcripts

00:47:13.120 in

00:47:13.240 2005

00:47:13.940 and

00:47:14.640 it

00:47:14.820 is

00:47:15.120 horrific

00:47:15.860 it's

00:47:16.420 a

00:47:16.580 nightmare

00:47:16.920 any

00:47:18.360 of

00:47:18.540 your

00:47:18.660 listeners

00:47:19.020 can

00:47:19.380 go

00:47:19.600 to

00:47:19.780 our

00:47:20.180 website

00:47:20.780 see

00:47:21.540 it

00:47:21.720 and

00:47:23.480 read

00:47:23.820 those

00:47:24.160 transcripts

00:47:24.780 and

00:47:24.900 make

00:47:25.100 up

00:47:25.240 your

00:47:25.380 own

00:47:25.620 mind

00:47:25.860 about

00:47:26.160 what

00:47:26.380 happened

00:47:27.020 and

00:47:28.480 you

00:47:28.600 see

00:47:28.900 the

00:47:29.120 panjarams

00:47:29.920 of

00:47:30.180 the

00:47:30.340 American

00:47:30.740 healthcare

00:47:31.180 system

00:47:31.780 these

00:47:32.160 regulators

00:47:32.800 who

00:47:33.040 are

00:47:33.140 supposed

00:47:33.460 to be

00:47:33.840 protecting

00:47:34.240 us

00:47:34.480 the

00:47:34.780 first

00:47:35.200 day

00:47:35.560 they

00:47:36.960 are

00:47:37.080 looking

00:47:37.460 at

00:47:37.700 the

00:47:37.860 science

00:47:38.280 and

00:47:38.720 they

00:47:38.840 are

00:47:38.960 saying

00:47:41.160 we

00:47:41.640 are

00:47:41.900 causing

00:47:42.380 autism

00:47:42.860 I

00:47:43.460 want

00:47:43.600 the

00:47:43.720 audience

00:47:43.960 to be

00:47:44.180 aware

00:47:44.380 of

00:47:44.560 the

00:47:45.400 FDA

00:47:46.100 and

00:47:46.940 the

00:47:47.060 National

00:47:47.320 Institutes

00:47:47.740 of

00:47:47.860 Health

00:47:48.100 the

00:47:48.620 CDC

00:47:48.960 the

00:47:49.500 American

00:47:49.740 Association

00:47:50.220 of

00:47:50.420 Pediatrics

00:47:50.900 and

00:47:51.040 several

00:47:51.260 other

00:47:51.480 agencies

00:47:51.820 have

00:47:52.040 concluded

00:47:52.340 there

00:47:52.600 is

00:47:52.880 no

00:47:53.100 evidence

00:47:53.520 that

00:47:53.740 thimerosal

00:47:54.460 causes

00:47:54.940 any

00:47:55.500 harm

00:47:56.060 that

00:47:56.700 it

00:47:57.840 causes

00:47:58.120 any

00:47:58.540 harm

00:47:59.060 they

00:47:59.240 removed

00:47:59.620 it

00:47:59.760 from

00:47:59.880 vaccines

00:48:00.340 anyway

00:48:00.780 they

00:48:01.000 say

00:48:01.180 as

00:48:01.300 a

00:48:01.420 precautionary

00:48:02.100 measure

00:48:02.920 they

00:48:04.360 also

00:48:05.120 are

00:48:05.680 concerned

00:48:06.040 about

00:48:06.320 the

00:48:06.700 resurrection

00:48:07.460 of

00:48:07.760 measles

00:48:08.120 in

00:48:08.680 2015

00:48:09.220 nearly

00:48:09.560 200

00:48:09.920 Americans

00:48:10.300 were

00:48:10.600 sickened

00:48:11.220 with

00:48:11.380 it

00:48:11.560 and

00:48:12.120 that's

00:48:12.360 a

00:48:12.460 disease

00:48:12.760 that

00:48:12.980 we

00:48:13.100 had

00:48:13.200 eradicated

00:48:13.620 15

00:48:13.920 years

00:48:14.160 earlier

00:48:14.460 as

00:48:14.720 a

00:48:14.820 consequence

00:48:15.120 of

00:48:15.300 parents

00:48:15.560 not

00:48:15.920 vaccinating

00:48:16.360 their

00:48:16.540 kids

00:48:16.720 as

00:48:16.860 you

00:48:16.960 point

00:48:17.140 out

00:48:17.280 it's

00:48:17.380 a

00:48:17.460 disease

00:48:17.700 that

00:48:17.900 could

00:48:18.080 be

00:48:18.220 potentially

00:48:18.620 deadly

00:48:19.540 you've

00:48:20.200 made

00:48:20.660 this

00:48:20.820 claim

00:48:21.000 before

00:48:21.320 about

00:48:21.620 this

00:48:21.880 horrific

00:48:22.860 conference

00:48:23.340 in which

00:48:23.680 they

00:48:23.900 confessed

00:48:24.440 it's

00:48:25.020 causing

00:48:25.280 autism

00:48:25.820 we

00:48:26.040 got to

00:48:26.240 bury

00:48:26.440 the

00:48:26.720 data

00:48:27.100 you

00:48:27.300 wrote

00:48:27.480 about

00:48:27.680 it

00:48:27.800 in

00:48:27.920 January

00:48:28.240 2011

00:48:28.700 article

00:48:29.200 that

00:48:30.600 was

00:48:30.740 in

00:48:30.920 Rolling

00:48:31.100 Stone

00:48:31.340 and

00:48:31.500 Salon

00:48:31.860 it's

00:48:32.180 since

00:48:32.380 been

00:48:32.780 withdrawn

00:48:33.960 by

00:48:34.400 Salon

00:48:34.760 altogether

00:48:35.300 Rolling

00:48:35.640 Stone

00:48:35.880 had to

00:48:36.260 offer

00:48:36.520 a bunch

00:48:36.860 of

00:48:36.960 corrections

00:48:37.440 it

00:48:37.700 removed

00:48:38.040 it

00:48:38.180 from

00:48:38.340 its

00:48:38.480 website

00:48:38.800 as

00:48:39.000 well

00:48:39.240 and

00:48:40.100 your

00:48:40.500 allegations

00:48:41.000 spurred

00:48:41.340 an

00:48:41.480 18

00:48:41.800 month

00:48:42.060 investigation

00:48:42.680 by

00:48:42.980 a

00:48:43.180 U.S.

00:48:43.520 Senate

00:48:43.660 committee

00:48:44.040 that

00:48:45.140 found

00:48:46.100 allegations

00:48:46.760 of

00:48:46.980 CDC

00:48:47.240 misconduct

00:48:47.780 were

00:48:48.120 unsubstantiated

00:48:49.640 and they

00:48:50.080 concluded

00:48:50.400 that there

00:48:50.820 was

00:48:51.220 no

00:48:51.780 cover-up

00:48:52.640 it

00:48:53.080 was

00:48:53.260 a

00:48:53.460 two

00:48:53.800 year

00:48:54.280 committee

00:48:55.660 hearings

00:48:56.120 by

00:48:56.420 Senator

00:48:56.820 Burton

00:48:57.260 at

00:48:57.460 the

00:48:57.620 government

00:48:57.840 oversight

00:48:58.340 committee

00:48:58.880 and he

00:48:59.480 found

00:48:59.800 that

00:48:59.980 there

00:49:00.140 was

00:49:00.420 a

00:49:00.560 cover-up

00:49:01.020 and

00:49:01.260 that

00:49:01.500 vaccines

00:49:02.140 do

00:49:02.420 cause

00:49:02.780 autism

00:49:03.220 so

00:49:03.580 you know

00:49:03.960 anybody

00:49:04.460 can go

00:49:04.900 you know

00:49:05.320 don't

00:49:05.620 trust

00:49:05.900 me

00:49:06.140 not

00:49:06.460 listen

00:49:06.940 anything

00:49:07.720 I

00:49:08.020 say

00:49:08.420 about

00:49:08.780 the

00:49:08.980 science

00:49:09.320 you

00:49:10.660 shouldn't

00:49:10.960 trust

00:49:11.240 me

00:49:11.420 you

00:49:11.640 should

00:49:11.800 go

00:49:11.940 do

00:49:12.140 your

00:49:12.360 own

00:49:12.680 research

00:49:13.140 and

00:49:13.360 I'll

00:49:13.540 tell

00:49:13.760 you

00:49:14.100 you

00:49:14.440 know

00:49:14.640 the

00:49:15.060 research

00:49:15.500 I'm

00:49:15.860 relying

00:49:16.200 on

00:49:16.520 and

00:49:16.680 you

00:49:16.840 can

00:49:16.980 go

00:49:17.140 make

00:49:17.360 up

00:49:17.500 your

00:49:17.660 own

00:49:17.820 mind

00:49:18.080 you

00:49:19.280 also

00:49:19.740 should

00:49:20.320 not

00:49:20.560 trust

00:49:20.880 CDC

00:49:21.440 NIH

00:49:22.200 American

00:49:23.820 Association

00:49:24.720 of

00:49:24.940 Pediatrics

00:49:25.380 which gets

00:49:27.040 80%

00:49:27.600 of its

00:49:27.880 money

00:49:28.180 from

00:49:28.480 the

00:49:28.680 pharmaceutical

00:49:29.120 industry

00:49:29.880 FDA

00:49:30.480 gets

00:49:30.780 45%

00:49:31.560 of its

00:49:31.860 budget

00:49:32.140 from

00:49:32.400 the

00:49:32.560 pharmaceutical

00:49:33.060 industry

00:49:33.860 CDC

00:49:34.940 spends

00:49:35.580 4.9

00:49:36.520 billion

00:49:36.920 of its

00:49:37.260 12

00:49:37.540 billion

00:49:37.880 budget

00:49:38.440 I get

00:49:38.540 it

00:49:38.660 I'm

00:49:38.960 not

00:49:39.080 going

00:49:39.160 to

00:49:39.220 argue

00:49:39.400 with

00:49:39.580 you

00:49:39.660 that

00:49:39.820 those

00:49:39.980 organizations

00:49:40.480 are

00:49:40.720 bought

00:49:40.900 and

00:49:41.020 paid

00:49:41.180 for

00:49:41.340 we've

00:49:41.900 seen

00:49:42.140 that

00:49:42.360 but

00:49:42.580 let me

00:49:43.940 ask

00:49:44.240 you

00:49:44.620 let me

00:49:45.100 ask

00:49:46.440 you

00:49:46.640 because

00:49:47.620 the

00:49:47.780 parents

00:49:49.260 inside

00:49:49.840 those

00:49:50.100 organizations

00:49:50.640 vaccinate

00:49:51.500 their

00:49:51.660 children

00:49:51.900 the

00:49:52.380 parents

00:49:52.720 who

00:49:52.840 work

00:49:52.960 for

00:49:53.120 Pfizer

00:49:53.420 stick

00:49:54.060 the

00:49:54.360 needle

00:49:54.680 in

00:49:54.880 their

00:49:55.040 kids

00:49:55.280 arms

00:49:55.580 are

00:49:56.320 they

00:49:56.520 willingly

00:49:56.960 hurting

00:49:57.280 their

00:49:57.460 children

00:49:57.780 why

00:49:58.560 would

00:49:59.260 they

00:49:59.420 all

00:49:59.860 be

00:50:00.080 giving

00:50:00.260 the

00:50:00.440 MMR

00:50:00.860 and

00:50:01.420 the

00:50:01.580 vaccines

00:50:02.040 that

00:50:02.220 had

00:50:02.400 thimerosal

00:50:03.040 in

00:50:03.220 it

00:50:03.360 you

00:50:04.580 you're

00:50:04.920 alleging

00:50:05.200 sort

00:50:05.360 of a

00:50:05.560 vast

00:50:05.840 government

00:50:06.140 conspiracy

00:50:06.700 to

00:50:06.960 force

00:50:07.300 these

00:50:07.440 vaccines

00:50:07.820 on

00:50:08.020 us

00:50:08.140 from

00:50:08.540 these

00:50:08.740 health

00:50:10.100 officials

00:50:11.160 who

00:50:11.680 knew

00:50:11.920 it

00:50:12.020 was

00:50:12.120 unsafe

00:50:12.440 but

00:50:12.600 yet

00:50:12.760 gave

00:50:13.080 it

00:50:13.160 to

00:50:13.260 their

00:50:13.380 own

00:50:13.560 kids

00:50:13.920 they

00:50:14.800 can

00:50:14.980 go

00:50:15.240 look

00:50:15.620 at

00:50:16.060 the

00:50:17.060 movie

00:50:17.340 and

00:50:18.500 you

00:50:18.640 watched

00:50:19.060 it

00:50:19.480 you'll

00:50:20.120 answer

00:50:20.360 your

00:50:20.600 own

00:50:20.760 question

00:50:21.080 the

00:50:21.340 doctors

00:50:22.140 in

00:50:22.540 that

00:50:22.780 movie

00:50:23.200 that's

00:50:23.420 different

00:50:23.680 they

00:50:23.880 weren't

00:50:24.120 sticking

00:50:24.360 their

00:50:24.560 kids

00:50:24.760 with

00:50:25.000 opioids

00:50:25.960 they

00:50:26.160 were

00:50:26.340 giving

00:50:26.720 their

00:50:26.980 patients

00:50:27.520 and

00:50:27.760 their

00:50:27.940 children

00:50:28.300 opioids

00:50:29.080 because

00:50:29.600 they

00:50:29.940 believed

00:50:30.420 what

00:50:30.620 FDA

00:50:30.980 told

00:50:31.380 them

00:50:31.580 we'll

00:50:33.300 pick up

00:50:33.540 the

00:50:33.640 conversation

00:50:34.080 in

00:50:34.260 one

00:50:34.380 minute

00:50:34.620 but

00:50:34.820 first

00:50:35.100 a

00:50:35.320 note

00:50:35.560 on

00:50:35.740 the

00:50:35.880 exchange

00:50:36.400 we

00:50:36.600 just

00:50:36.780 had

00:50:37.000 about

00:50:37.220 that

00:50:37.440 Simpson

00:50:37.940 would

00:50:38.240 conference

00:50:38.740 on

00:50:39.040 thimerosal

00:50:39.760 in

00:50:40.240 2007

00:50:41.120 a

00:50:41.840 U.S.

00:50:42.160 Senate

00:50:42.280 committee

00:50:42.600 on

00:50:42.860 public

00:50:43.100 health

00:50:43.380 did

00:50:43.720 investigate

00:50:44.160 allegations

00:50:44.620 that

00:50:44.900 this

00:50:45.100 meeting

00:50:45.440 established

00:50:46.280 the

00:50:46.520 dangers

00:50:46.820 of

00:50:47.000 thimerosal

00:50:47.740 and

00:50:48.480 that

00:50:48.800 the

00:50:49.040 CDC

00:50:49.460 came up

00:50:50.100 with

00:50:50.200 a

00:50:50.320 plan

00:50:50.620 to

00:50:50.820 cover

00:50:51.140 up

00:50:51.460 those

00:50:51.700 dangers

00:50:52.120 the

00:50:52.880 committee

00:50:53.160 found

00:50:53.560 that

00:50:53.780 quote

00:50:54.080 allegations

00:50:54.960 of a

00:50:55.280 cover-up

00:50:55.880 are not

00:50:56.460 substantiated

00:50:57.440 instead of

00:50:58.360 hiding

00:50:58.720 the data

00:50:59.180 or

00:50:59.400 restricting

00:50:59.940 access

00:51:00.440 to it

00:51:00.940 CDC

00:51:01.700 distributed

00:51:02.580 it

00:51:02.900 often to

00:51:03.740 individuals

00:51:04.200 who had

00:51:04.500 never

00:51:04.680 seen

00:51:04.880 it

00:51:04.980 before

00:51:05.300 and

00:51:05.660 solicited

00:51:06.200 outside

00:51:06.620 opinion

00:51:07.040 regarding

00:51:07.440 how

00:51:07.940 to

00:51:08.240 interpret

00:51:08.780 it

00:51:09.020 the

00:51:09.600 transcript

00:51:10.040 of

00:51:10.360 these

00:51:10.560 discussions

00:51:11.100 was

00:51:11.720 made

00:51:11.920 available

00:51:12.360 to

00:51:12.840 the

00:51:13.000 public

00:51:13.360 end

00:51:13.660 quote

00:51:13.920 the

00:51:14.740 Senate

00:51:14.900 report

00:51:15.240 went

00:51:15.480 on

00:51:15.760 to

00:51:15.900 conclude

00:51:16.300 quote

00:51:16.760 Simpson

00:51:17.700 Wood

00:51:18.040 participants

00:51:18.740 generally

00:51:19.100 agreed

00:51:19.600 that

00:51:19.880 the

00:51:20.020 data

00:51:20.220 set

00:51:20.440 was

00:51:20.600 weak

00:51:20.920 it

00:51:21.440 was

00:51:21.580 difficult

00:51:21.920 to

00:51:22.280 assess

00:51:22.860 causality

00:51:23.680 and

00:51:24.380 further

00:51:24.660 study

00:51:25.000 and

00:51:25.160 investigation

00:51:25.720 were

00:51:26.220 warranted

00:51:26.780 now

00:51:27.580 the

00:51:27.720 author

00:51:28.080 of

00:51:28.460 the

00:51:28.580 original

00:51:28.980 hypothesis

00:51:29.600 that

00:51:29.940 thimerosal

00:51:30.700 might be

00:51:31.120 linked

00:51:31.360 to

00:51:31.520 autism

00:51:31.940 went

00:51:32.920 on

00:51:33.240 to

00:51:33.380 conclude

00:51:33.760 in

00:51:33.960 phase

00:51:34.200 two

00:51:34.520 of his

00:51:34.860 study

00:51:35.140 that

00:51:35.800 the

00:51:35.940 original

00:51:36.260 results

00:51:36.740 being

00:51:36.940 discussed

00:51:37.300 at

00:51:37.500 Simpson

00:51:37.740 Wood

00:51:38.000 could

00:51:38.620 not

00:51:38.960 be

00:51:39.380 replicated

00:51:39.800 by the

00:51:40.640 time

00:51:40.860 he

00:51:41.000 reached

00:51:41.240 that

00:51:41.460 conclusion

00:51:41.900 he

00:51:42.620 had

00:51:42.740 begun

00:51:43.020 working

00:51:43.380 for

00:51:43.760 Glaxo

00:51:44.520 Smith

00:51:44.760 Klein

00:51:45.100 which

00:51:45.400 makes

00:51:46.000 vaccines

00:51:46.640 but

00:51:47.280 the

00:51:47.480 Senate

00:51:47.680 committee

00:51:48.080 believed

00:51:48.700 that

00:51:48.960 his

00:51:49.120 findings

00:51:49.620 were

00:51:50.300 in

00:51:50.660 earnest

00:51:51.060 also

00:51:51.980 also

00:51:52.000 when

00:51:52.160 Robert

00:51:52.380 made

00:51:52.660 reference

00:51:53.040 in

00:51:53.160 our

00:51:53.260 conversation

00:51:53.640 to

00:51:53.900 Senator

00:51:54.680 Burton

00:51:55.040 having

00:51:55.500 concluded

00:51:55.900 that

00:51:56.080 there

00:51:56.220 was

00:51:56.460 a

00:51:56.580 cover-up

00:51:56.960 he

00:51:57.480 was

00:51:57.600 actually

00:51:57.840 referring

00:51:58.260 to

00:51:58.420 former

00:51:58.720 congressman

00:51:59.240 Dan

00:51:59.500 Burton

00:51:59.780 Burton

00:52:00.500 did hold

00:52:00.920 many

00:52:01.140 hearings

00:52:01.440 in

00:52:01.620 congress

00:52:01.880 over

00:52:02.140 this

00:52:02.340 issue

00:52:02.520 because

00:52:02.760 he

00:52:02.920 firmly

00:52:03.280 believes

00:52:03.780 that

00:52:03.960 thimerosal

00:52:04.620 contributed

00:52:05.440 to his

00:52:05.980 grandson's

00:52:06.720 autism

00:52:07.280 we'll be

00:52:08.160 right back

00:52:08.560 what I

00:52:16.800 would say

00:52:17.360 is

00:52:18.780 there's

00:52:19.040 a small

00:52:19.500 group

00:52:19.800 and I

00:52:20.060 can tell

00:52:20.420 you the

00:52:20.740 names

00:52:21.040 of the

00:52:21.320 people

00:52:21.660 within

00:52:22.060 CDC

00:52:22.880 within

00:52:23.420 FDA

00:52:23.980 and

00:52:24.280 NIH

00:52:24.820 who

00:52:26.260 know

00:52:26.820 what

00:52:27.540 they're

00:52:27.760 doing

00:52:28.140 and are

00:52:28.880 doing

00:52:29.100 in

00:52:29.240 anybody

00:52:29.540 but

00:52:29.760 it's

00:52:29.880 a

00:52:30.020 small

00:52:30.360 group

00:52:30.760 and

00:52:32.060 everybody

00:52:32.540 else

00:52:33.020 because

00:52:33.380 of the

00:52:33.620 way

00:52:33.900 the

00:52:34.260 medical

00:52:34.700 system

00:52:35.240 works

00:52:35.680 gets

00:52:36.100 subsumed

00:52:36.580 in that

00:52:36.920 orthodoxy

00:52:37.660 and it's

00:52:37.920 very much

00:52:38.440 the

00:52:38.560 way

00:52:39.020 that

00:52:39.420 you

00:52:39.640 know

00:52:39.860 the

00:52:41.280 catholic

00:52:41.720 church

00:52:42.180 reacted

00:52:42.680 to the

00:52:42.980 pedophile

00:52:43.380 scandal

00:52:43.900 there was

00:52:44.220 only a

00:52:44.680 handful

00:52:45.100 of

00:52:45.380 priests

00:52:45.720 relatively

00:52:46.460 who

00:52:46.840 were

00:52:47.020 raping

00:52:47.400 children

00:52:47.860 and

00:52:49.660 nine

00:52:50.440 out of

00:52:50.740 ten

00:52:50.900 priests

00:52:51.280 who

00:52:51.480 weren't

00:52:51.860 but

00:52:52.820 all

00:52:53.480 of

00:52:53.660 them

00:52:53.820 the

00:52:54.100 priests

00:52:54.700 among

00:52:55.040 seniors

00:52:55.680 the

00:52:56.040 bishops

00:52:56.380 the

00:52:56.740 archbishops

00:52:57.360 all

00:52:58.680 the way

00:52:58.980 up to

00:52:59.220 the

00:52:59.320 Vatican

00:52:59.760 became

00:53:01.180 trapped

00:53:02.820 in this

00:53:03.300 orthodoxy

00:53:03.960 that we

00:53:06.220 need

00:53:06.640 that this

00:53:07.260 institution

00:53:08.080 is so

00:53:08.900 important

00:53:09.360 to

00:53:09.600 children

00:53:10.040 to

00:53:10.280 peace

00:53:10.700 all of

00:53:11.320 these

00:53:11.500 other

00:53:11.720 good

00:53:11.980 things

00:53:12.420 that

00:53:13.720 people

00:53:14.300 who

00:53:14.500 are

00:53:14.620 getting

00:53:14.860 injured

00:53:15.340 are

00:53:15.920 collateral

00:53:16.440 damaged

00:53:16.920 how does

00:53:17.980 it happen

00:53:18.480 and it's

00:53:19.600 exactly the

00:53:20.460 phenomena that you're

00:53:21.400 talking about

00:53:22.020 and I think

00:53:22.520 they do a

00:53:23.000 really good

00:53:23.700 job

00:53:24.200 in the

00:53:25.560 movie

00:53:25.820 dope

00:53:26.200 sick

00:53:26.400 of

00:53:26.660 showing

00:53:26.960 how

00:53:27.280 good

00:53:27.780 idealistic

00:53:29.420 high

00:53:30.880 minded

00:53:31.440 patient

00:53:32.800 oriented

00:53:33.620 doctors

00:53:34.400 ended up

00:53:36.000 giving this

00:53:36.560 poison to

00:53:37.300 their

00:53:37.480 patients

00:53:38.020 to their

00:53:38.420 children

00:53:38.840 to their

00:53:39.360 families

00:53:39.960 because they

00:53:41.360 believe the

00:53:42.200 regulators

00:53:42.740 and you know

00:53:43.340 Americans are

00:53:44.120 idealistic

00:53:44.420 I got all

00:53:44.920 that I

00:53:45.120 mean I

00:53:45.400 don't

00:53:45.500 think you

00:53:45.860 have to

00:53:46.140 go to

00:53:46.340 dope

00:53:46.560 sick

00:53:46.740 I

00:53:46.880 don't

00:53:47.000 even

00:53:47.160 think

00:53:47.320 that's

00:53:47.540 your best

00:53:47.880 example

00:53:48.340 I think

00:53:48.700 you're

00:53:48.880 better

00:53:49.260 off

00:53:49.940 yeah

00:53:50.700 no I

00:53:51.220 think

00:53:51.400 that

00:53:51.540 what's

00:53:51.760 happened

00:53:52.020 during

00:53:52.280 covid

00:53:52.600 with all

00:53:52.980 these

00:53:53.220 doctors

00:53:53.840 and all

00:53:54.080 these

00:53:54.200 organizations

00:53:54.700 writing

00:53:55.100 articles

00:53:55.480 about how

00:53:56.100 masks

00:53:56.680 are the

00:53:57.400 key to

00:53:57.760 our

00:53:57.920 safety

00:53:58.280 which

00:53:58.960 completely

00:53:59.680 fell

00:53:59.940 apart

00:54:00.200 and all

00:54:00.660 the

00:54:00.840 medical

00:54:01.120 professionals

00:54:01.520 who wrote

00:54:02.000 that this

00:54:02.320 100%

00:54:02.980 did not

00:54:03.320 begin

00:54:03.680 in a

00:54:04.380 lab

00:54:04.660 but it

00:54:04.980 came

00:54:05.240 from

00:54:05.600 you know

00:54:06.780 some

00:54:07.100 animal

00:54:07.540 source

00:54:07.860 which

00:54:08.100 we've

00:54:08.320 never

00:54:08.500 found

00:54:08.820 despite

00:54:09.060 testing

00:54:09.420 80,000

00:54:09.920 animals

00:54:10.320 right

00:54:10.940 well how

00:54:11.260 did

00:54:11.420 how did

00:54:11.820 Fauci

00:54:12.060 get all

00:54:12.300 the

00:54:12.380 doctors

00:54:12.640 to go

00:54:12.900 along

00:54:13.100 with

00:54:13.240 that

00:54:13.440 he's

00:54:13.640 got

00:54:13.740 a lot

00:54:14.000 of

00:54:14.100 influence

00:54:14.440 I

00:54:14.620 get

00:54:14.940 it

00:54:15.080 I

00:54:15.240 get

00:54:15.560 your

00:54:15.740 point

00:54:16.160 however

00:54:16.920 the

00:54:17.540 reality

00:54:17.940 is

00:54:18.320 the

00:54:18.560 studies

00:54:18.960 on

00:54:19.320 this

00:54:19.660 saying

00:54:20.000 there

00:54:20.180 is

00:54:20.380 no

00:54:20.540 link

00:54:20.760 between

00:54:20.980 the

00:54:21.120 vaccines

00:54:21.460 and

00:54:21.600 autism

00:54:21.940 any

00:54:22.180 of

00:54:22.360 you know

00:54:23.900 from

00:54:24.300 the

00:54:24.440 MMR

00:54:24.780 or

00:54:24.960 otherwise

00:54:25.320 come

00:54:26.060 not

00:54:26.280 just

00:54:26.420 from

00:54:26.540 the

00:54:26.620 United

00:54:26.800 States

00:54:27.140 they

00:54:27.320 come

00:54:27.480 from

00:54:27.640 the

00:54:27.780 UK

00:54:28.040 they

00:54:28.260 come

00:54:28.400 from

00:54:28.520 Canada

00:54:28.780 they

00:54:28.960 come

00:54:29.100 from

00:54:29.260 Denmark

00:54:29.560 they

00:54:30.200 do

00:54:30.360 come

00:54:30.520 from

00:54:30.640 the

00:54:30.760 CDC

00:54:31.040 they

00:54:31.280 come

00:54:31.420 from

00:54:31.540 independent

00:54:31.900 physicians

00:54:32.260 they

00:54:32.440 come

00:54:32.600 from

00:54:32.760 the

00:54:32.900 Children's

00:54:33.520 Hospital

00:54:33.780 of

00:54:33.940 Philadelphia

00:54:34.320 I

00:54:34.840 could

00:54:35.000 go

00:54:35.200 on

00:54:35.520 it's

00:54:36.040 a

00:54:36.220 worldwide

00:54:36.800 conspiracy

00:54:37.720 to

00:54:38.360 stick

00:54:38.680 needles

00:54:39.000 in the

00:54:39.260 arms

00:54:39.460 of

00:54:39.620 babies

00:54:40.000 irrespective

00:54:41.160 of

00:54:41.380 the

00:54:41.560 catastrophic

00:54:42.160 damage

00:54:42.560 we

00:54:42.720 could

00:54:42.820 be

00:54:42.960 causing

00:54:43.220 to

00:54:43.400 them

00:54:43.560 cognitively

00:54:44.180 let

00:54:45.380 me

00:54:45.520 tell

00:54:45.860 you

00:54:46.240 what

00:54:46.740 the

00:54:46.940 National

00:54:47.320 Academy

00:54:47.740 of

00:54:47.980 Sciences

00:54:48.460 is

00:54:49.040 and

00:54:49.460 the

00:54:49.600 Institute

00:54:50.020 of

00:54:50.240 Medicine

00:54:50.600 say

00:54:51.080 they

00:54:52.480 pull

00:54:53.400 off

00:54:53.720 in

00:54:53.860 all

00:54:54.380 those

00:54:54.880 groups

00:54:55.300 that

00:54:55.500 you

00:54:55.600 talk

00:54:55.900 about

00:54:56.260 have

00:54:56.780 studied

00:54:57.220 two

00:54:57.820 things

00:54:58.180 one

00:54:58.620 vaccine

00:54:59.200 which

00:55:01.540 only

00:55:01.660 done

00:55:01.860 one

00:55:02.240 kind

00:55:02.520 of

00:55:02.640 study

00:55:03.080 epidemiological

00:55:07.140 studies

00:55:07.620 which

00:55:07.860 are

00:55:07.980 very

00:55:08.240 easy

00:55:08.500 to fix

00:55:08.820 they

00:55:08.980 don't

00:55:09.200 do

00:55:09.340 bench

00:55:09.680 trials

00:55:10.180 they

00:55:10.400 don't

00:55:10.620 do

00:55:10.860 animal

00:55:11.680 trials

00:55:12.140 and

00:55:13.800 they

00:55:13.940 studied

00:55:14.300 one

00:55:14.540 ingredient

00:55:14.940 in

00:55:15.140 primaries

00:55:15.800 but

00:55:16.320 when

00:55:17.080 we

00:55:17.500 sued

00:55:17.900 them

00:55:18.180 they

00:55:19.740 admitted

00:55:20.280 that

00:55:21.240 all

00:55:23.340 the

00:55:23.600 vaccines

00:55:24.320 that

00:55:25.300 are

00:55:25.420 given

00:55:25.740 during

00:55:26.080 the

00:55:26.320 first

00:55:26.740 six

00:55:27.060 months

00:55:27.360 of

00:55:27.540 life

00:55:27.860 the

00:55:28.080 ones

00:55:28.440 that

00:55:28.660 are

00:55:28.960 the

00:55:29.120 only

00:55:29.340 ones

00:55:29.600 that

00:55:29.720 could

00:55:29.860 be

00:55:29.960 related

00:55:30.260 to

00:55:30.460 you

00:55:31.280 know

00:55:31.380 birth

00:55:31.720 autism

00:55:32.220 that

00:55:33.700 they've

00:55:33.920 never

00:55:34.140 studied

00:55:34.540 a

00:55:34.760 single

00:55:35.100 one

00:55:35.420 of

00:55:35.560 them

00:55:35.720 so

00:55:36.200 you

00:55:36.680 show

00:55:37.000 me

00:55:37.220 a

00:55:37.400 study

00:55:37.760 of

00:55:37.940 the

00:55:38.720 MMR

00:55:39.160 vaccine

00:55:39.620 the

00:55:39.820 DTP

00:55:40.260 vaccine

00:55:40.860 the

00:55:41.060 Hib

00:55:41.260 vaccine

00:55:41.780 and

00:55:42.480 I'll

00:55:42.860 concede

00:55:43.220 to you

00:55:43.560 you

00:55:43.940 cannot

00:55:44.200 show

00:55:44.520 me

00:55:44.660 those

00:55:44.920 studies

00:55:45.340 you

00:55:45.600 can

00:55:45.760 only

00:55:46.100 show

00:55:46.480 me

00:55:46.820 the

00:55:47.880 one

00:55:48.160 study

00:55:48.480 and

00:55:48.620 one

00:55:48.840 kind

00:55:49.160 of

00:55:49.280 study

00:55:49.600 which

00:55:49.880 is

00:55:50.080 the

00:55:50.220 MMR

00:55:50.580 and

00:55:50.940 they

00:55:51.080 deliberately

00:55:51.580 restrict

00:55:52.140 it

00:55:52.340 and

00:55:52.500 by

00:55:52.720 the

00:55:52.840 way

00:55:53.120 those

00:55:54.260 people

00:55:54.600 all

00:55:54.840 those

00:55:55.040 studies

00:55:55.440 that

00:55:55.740 you're

00:55:55.880 talking

00:56:01.380 trust

00:56:01.920 which

00:56:02.360 is

00:56:02.540 Glaxo

00:56:03.040 Smith

00:56:03.320 Klein

00:56:03.740 the

00:56:04.920 pharmaceutical

00:56:05.440 industry

00:56:06.140 or

00:56:06.620 NIH

00:56:07.160 they're

00:56:08.660 being

00:56:09.000 funded

00:56:09.440 by

00:56:09.780 people

00:56:10.240 who

00:56:10.700 are

00:56:10.840 funding

00:56:11.300 them

00:56:11.700 in

00:56:12.320 order

00:56:12.700 to

00:56:13.240 cover

00:56:13.880 up

00:56:14.340 the

00:56:15.520 association

00:56:16.440 and

00:56:17.460 you

00:56:17.620 can

00:56:17.780 easily

00:56:18.200 design

00:56:18.760 particularly

00:56:19.300 epidemiological

00:56:20.200 studies

00:56:20.800 you

00:56:22.000 can

00:56:22.220 conceal

00:56:23.640 the

00:56:24.120 impact

00:56:24.780 to

00:56:25.020 small

00:56:25.500 subgroups

00:56:26.380 of vulnerable

00:56:27.000 populations

00:56:27.760 and that

00:56:29.180 is

00:56:29.580 epidemiology

00:56:31.120 101

00:56:31.720 everybody

00:56:32.560 knows

00:56:33.020 that

00:56:33.280 and

00:56:33.580 that's

00:56:33.860 why

00:56:34.040 they

00:56:34.220 do

00:56:34.360 those

00:56:34.640 studies

00:56:35.020 and

00:56:35.180 they

00:56:35.300 don't

00:56:35.480 do

00:56:35.660 other

00:56:35.860 studies

00:56:36.360 I

00:56:36.760 mean

00:56:36.920 I

00:56:37.140 understand

00:56:37.700 I

00:56:38.040 get

00:56:38.200 what

00:56:38.340 you're

00:56:39.200 saying

00:56:39.540 I

00:56:39.920 also

00:56:40.460 understand

00:56:40.860 that

00:56:41.160 many

00:56:41.700 medical

00:56:42.020 professionals

00:56:42.620 my

00:56:43.640 own

00:56:44.060 on up

00:56:44.800 will

00:56:45.200 say

00:56:45.520 that

00:56:45.840 the

00:56:46.060 risk

00:56:46.300 of

00:56:46.460 flu

00:56:46.700 to

00:56:46.860 children

00:56:47.240 is

00:56:47.900 far

00:56:48.360 more

00:56:48.820 significant

00:56:49.680 and

00:56:50.000 dangerous

00:56:50.420 than

00:56:51.000 the

00:56:51.200 risk

00:56:51.500 from

00:56:51.920 any

00:56:52.340 minuscule

00:56:53.460 trace

00:56:53.880 of

00:56:54.040 thimerosal

00:56:54.740 in

00:56:55.000 the

00:56:55.140 vaccine

00:56:55.560 and

00:56:55.980 you

00:56:56.120 can

00:56:56.260 also

00:56:56.520 get

00:56:56.720 the

00:56:56.860 vaccine

00:56:57.220 without

00:57:01.120 thimerosal

00:57:03.340 are

00:57:03.760 wealthy

00:57:04.140 people

00:57:04.640 who

00:57:05.120 know

00:57:05.440 to

00:57:05.620 ask

00:57:05.920 the

00:57:06.060 questions

00:57:06.540 that

00:57:06.760 thimerosal

00:57:07.400 vaccines

00:57:08.020 are

00:57:08.440 sent

00:57:09.680 to

00:57:09.860 poor

00:57:10.160 black

00:57:10.600 neighborhoods

00:57:11.160 where

00:57:11.760 there's

00:57:12.600 no

00:57:12.960 political

00:57:13.780 power

00:57:14.160 for

00:57:15.240 them

00:57:15.440 to

00:57:15.640 ask

00:57:16.160 or

00:57:16.440 to

00:57:16.580 object

00:57:17.100 or

00:57:17.460 to

00:57:17.580 get

00:57:17.720 an

00:57:17.880 alternative

00:57:18.320 and

00:57:18.840 they're

00:57:19.040 sent

00:57:19.300 to

00:57:20.380 161

00:57:21.540 million

00:57:22.180 children

00:57:23.320 in

00:57:23.540 Africa

00:57:24.100 annually

00:57:24.740 so

00:57:25.240 this

00:57:25.780 is

00:57:26.020 an

00:57:27.120 attack

00:57:28.920 on

00:57:29.340 the

00:57:29.480 poor

00:57:29.780 and

00:57:31.240 you

00:57:31.780 know

00:57:31.960 listen

00:57:32.580 I

00:57:33.680 just

00:57:33.880 want

00:57:34.060 to

00:57:34.180 point

00:57:34.360 something

00:57:34.720 out

00:57:34.980 that

00:57:35.160 people

00:57:35.480 should

00:57:35.700 understand

00:57:36.300 when

00:57:37.160 you

00:57:37.800 hear

00:57:38.300 that

00:57:39.320 the

00:57:40.080 science

00:57:40.580 says

00:57:40.880 this

00:57:41.180 because

00:57:41.620 CDC

00:57:42.280 says

00:57:42.800 it

00:57:43.020 or

00:57:43.340 because

00:57:43.500 my

00:57:43.760 doctor

00:57:44.200 says

00:57:44.660 it

00:57:44.880 or

00:57:45.120 because

00:57:45.320 FDA

00:57:45.840 says

00:57:46.240 it

00:57:46.420 that

00:57:47.900 is

00:57:48.340 a

00:57:48.800 debating

00:57:49.860 technique

00:57:50.420 that is

00:57:50.820 known as

00:57:51.240 a

00:57:51.440 logical

00:57:51.880 fallacy

00:57:52.620 is

00:57:53.100 specifically

00:57:53.640 known as

00:57:54.300 appeals

00:57:55.120 to

00:57:55.360 authority

00:57:55.960 oh

00:57:56.960 instead

00:57:57.300 of

00:57:57.560 showing

00:57:57.880 me

00:57:58.120 the

00:57:58.360 scientific

00:57:58.800 study

00:57:59.280 which

00:57:59.540 you

00:57:59.780 cannot

00:58:00.080 show

00:58:00.440 me

00:58:00.640 that

00:58:01.940 shows

00:58:02.320 that

00:58:02.540 flu

00:58:02.940 vaccines

00:58:03.600 save

00:58:04.000 more

00:58:04.300 lives

00:58:04.920 than

00:58:05.180 they

00:58:05.380 cost

00:58:05.860 you

00:58:06.760 cannot

00:58:07.100 show

00:58:07.380 me

00:58:07.500 a

00:58:07.640 study

00:58:07.900 that

00:58:08.120 shows

00:58:08.420 that

00:58:08.580 I

00:58:09.020 can

00:58:09.200 show

00:58:09.420 you

00:58:09.560 many

00:58:09.980 studies

00:58:10.500 and

00:58:10.740 I've

00:58:11.020 written

00:58:11.300 about

00:58:11.980 this

00:58:12.340 it

00:58:12.600 is

00:58:12.740 on

00:58:13.000 our

00:58:13.180 website

00:58:13.720 it's

00:58:14.020 in

00:58:14.160 the

00:58:14.320 dear

00:58:14.580 Sanjay

00:58:15.040 Gupta

00:58:15.360 letter

00:58:15.700 you

00:58:16.800 can

00:58:16.960 go

00:58:17.200 through

00:58:17.440 each

00:58:17.720 of

00:58:17.840 those

00:58:18.020 studies

00:58:18.420 and

00:58:18.660 you

00:58:18.780 can

00:58:18.940 link

00:58:19.340 to

00:58:19.720 this

00:58:19.980 study

00:58:20.300 in

00:58:20.640 preeminent

00:58:22.260 journals

00:58:22.860 by

00:58:23.660 independent

00:58:24.420 scientists

00:58:24.980 universities

00:58:25.820 research

00:58:26.420 centers

00:58:26.820 all over

00:58:27.200 the

00:58:27.360 world

00:58:27.560 you

00:58:28.760 cannot

00:58:29.100 show

00:58:29.420 me

00:58:29.600 a

00:58:29.760 study

00:58:30.080 that

00:58:30.420 shows

00:58:31.340 that

00:58:31.640 the

00:58:31.800 flu

00:58:32.020 vaccine

00:58:32.760 actually

00:58:34.540 averts

00:58:35.280 more

00:58:35.520 problems

00:58:35.980 than

00:58:36.180 it

00:58:36.300 causes

00:58:36.540 you

00:58:36.820 cannot

00:58:37.160 show

00:58:37.440 me

00:58:37.560 that

00:58:37.740 study

00:58:37.980 then

00:58:39.680 I

00:58:40.020 will

00:58:40.200 walk

00:58:40.560 away

00:58:40.820 from

00:58:41.040 that

00:58:41.280 issue

00:58:41.640 I

00:58:43.100 know

00:58:43.280 but

00:58:43.520 every

00:58:43.700 time

00:58:43.980 I

00:58:44.180 say

00:58:44.340 listen

00:58:44.780 I

00:58:45.220 understand

00:58:45.520 I've

00:58:45.740 ceded

00:58:46.020 to

00:58:46.240 you

00:58:46.480 the

00:58:46.680 point

00:58:46.920 that

00:58:47.100 the

00:58:47.260 CDC

00:58:47.540 is

00:58:47.880 not

00:58:48.040 necessarily

00:58:48.520 a

00:58:49.060 public

00:58:49.420 health

00:58:49.680 organization

00:58:50.180 but

00:58:50.840 that

00:58:51.020 doesn't

00:58:51.260 mean

00:58:51.400 that

00:58:51.520 everything

00:58:51.740 they've

00:58:52.000 ever

00:58:52.160 said

00:58:52.360 is

00:58:52.500 wrong

00:58:52.840 and

00:58:52.980 that

00:58:53.080 we

00:58:53.180 get

00:58:53.320 to

00:58:53.480 discard

00:58:53.920 every

00:58:54.280 single

00:58:54.520 study

00:58:54.820 that

00:58:55.000 they've

00:58:55.180 done

00:58:55.440 you

00:58:55.920 know

00:58:56.000 there

00:58:56.160 are

00:58:56.460 hundreds

00:58:56.860 of

00:58:57.080 millions

00:58:57.280 of

00:58:57.460 people

00:58:57.680 who

00:58:57.880 have

00:58:58.000 gotten

00:58:58.260 these

00:58:58.640 vaccines

00:58:59.040 who

00:58:59.860 are

00:59:00.040 perfectly

00:59:00.660 healthy

00:59:01.700 perfectly

00:59:02.340 healthy

00:59:02.680 in part

00:59:03.140 thanks

00:59:03.380 to

00:59:03.500 the

00:59:03.580 vaccines

00:59:03.940 they're

00:59:04.320 not

00:59:04.460 walking

00:59:04.680 around

00:59:04.840 with

00:59:04.980 measles

00:59:05.280 they're

00:59:05.680 not

00:59:05.800 walking

00:59:06.060 around

00:59:06.240 with

00:59:06.400 flu

00:59:06.560 they're

00:59:06.740 not

00:59:06.880 walking

00:59:07.120 around

00:59:07.300 with

00:59:07.460 rubella

00:59:08.000 they don't

00:59:08.300 have

00:59:08.560 hep B

00:59:08.920 those

00:59:09.360 are

00:59:09.480 good

00:59:09.680 things

00:59:10.080 the

00:59:10.460 vaccines

00:59:10.760 are

00:59:10.900 not

00:59:11.100 all

00:59:11.360 bad

00:59:11.620 just

00:59:11.740 because

00:59:11.940 we

00:59:12.060 have

00:59:12.160 suspicions

00:59:12.580 about

00:59:12.760 some

00:59:12.960 of

00:59:13.040 them

00:59:13.140 and

00:59:13.500 in

00:59:13.620 particular

00:59:13.960 the

00:59:14.160 covid

00:59:14.400 vaccine

00:59:14.880 it

00:59:15.340 doesn't

00:59:15.620 mean

00:59:15.900 we

00:59:16.180 can

00:59:16.300 you

00:59:16.820 started

00:59:17.200 this

00:59:18.060 Bobby

00:59:18.280 by

00:59:18.480 saying

00:59:18.760 I

00:59:19.320 am

00:59:19.440 not

00:59:19.760 anti

00:59:20.160 vax

00:59:20.560 you

00:59:20.920 started

00:59:21.320 by saying

00:59:21.740 I

00:59:21.860 about

00:59:21.980 it

00:59:22.100 and

00:59:22.520 then

00:59:22.700 you

00:59:23.020 cited

00:59:23.380 as

00:59:23.640 evidence

00:59:23.940 of

00:59:24.120 that

00:59:24.340 you

00:59:25.080 had

00:59:25.280 all

00:59:25.560 of

00:59:25.640 your

00:59:25.720 children

00:59:25.900 vaccinated

00:59:29.260 and

00:59:29.900 then

00:59:30.040 when

00:59:30.160 I

00:59:30.260 said

00:59:30.420 well

00:59:30.680 then

00:59:30.840 if

00:59:31.060 you

00:59:31.100 have

00:59:31.200 all

00:59:31.300 these

00:59:31.400 concerns

00:59:31.720 why

00:59:32.080 did

00:59:32.240 you

00:59:32.300 have

00:59:32.380 your

00:59:32.480 children

00:59:32.660 vaccinated

00:59:33.080 and

00:59:33.260 you

00:59:33.340 said

00:59:33.440 well

00:59:33.540 I

00:59:33.640 didn't

00:59:33.760 know

00:59:33.920 any

00:59:34.100 of

00:59:34.180 this

00:59:34.280 back

00:59:34.440 then

00:59:34.620 so

00:59:34.980 the

00:59:35.100 fact

00:59:35.260 that

00:59:35.340 you

00:59:35.400 had

00:59:35.540 your

00:59:35.660 children

00:59:35.880 vaccinated

00:59:36.300 does

00:59:36.560 not

00:59:36.780 suggest

00:59:37.120 you

00:59:37.280 are

00:59:37.440 not

00:59:38.240 anti

00:59:39.080 vax

00:59:39.720 and

00:59:40.420 listening

00:59:40.880 to

00:59:41.080 you

00:59:41.180 now

00:59:41.300 for

00:59:41.420 an

00:59:41.540 hour

00:59:41.700 you

00:59:41.920 sound

00:59:42.180 very

00:59:42.740 anti

00:59:43.120 vax

00:59:43.440 to

00:59:43.600 me

00:59:43.800 well

00:59:44.760 let

00:59:44.980 me

00:59:45.100 say

00:59:45.340 this

00:59:45.760 here

00:59:47.760 is

00:59:47.940 my

00:59:48.100 bottom

00:59:48.420 line

00:59:48.900 show

00:59:50.520 me

00:59:50.720 or

00:59:50.920 call

00:59:51.260 all

00:59:51.540 of

00:59:51.680 these

00:59:51.980 guys

00:59:52.560 who

00:59:52.800 you

00:59:52.960 talk

00:59:53.380 to

00:59:53.780 Paul

00:59:54.800 and

00:59:55.360 the

00:59:56.320 other

00:59:56.560 people

00:59:56.940 and

00:59:57.520 ask

00:59:58.720 them

00:59:59.080 to

00:59:59.320 show

00:59:59.720 you

01:00:00.260 a

01:00:01.340 scientific

01:00:01.780 study

01:00:02.320 for

01:00:02.900 each

01:00:03.320 vaccine

01:00:04.020 that

01:00:04.340 shows

01:00:04.700 that

01:00:04.940 this

01:00:05.200 vaccine

01:00:05.840 is

01:00:06.240 averting

01:00:06.640 for

01:00:06.920 harm

01:00:07.220 and

01:00:07.340 it's

01:00:07.480 causing

01:00:07.800 that's

01:00:08.140 all

01:00:08.300 I

01:00:08.440 ask

01:00:08.700 for

01:00:08.920 that

01:00:09.300 they

01:00:10.060 say

01:00:10.200 the

01:00:10.360 studies

01:00:10.600 show

01:00:10.880 no

01:00:11.100 linkage

01:00:11.420 of

01:00:11.600 harm

01:00:12.220 that's

01:00:12.560 what

01:00:12.640 they

01:00:12.760 say

01:00:12.920 they

01:00:13.060 show

01:00:13.220 no

01:00:13.480 linkage

01:00:13.900 between

01:00:14.660 autism

01:00:15.160 and

01:00:15.320 the

01:00:15.400 vaccines

01:00:15.740 or

01:00:15.900 any

01:00:16.020 other

01:00:16.200 look

01:00:16.460 at

01:00:17.720 health

01:00:18.300 outcome

01:00:18.920 okay

01:00:19.420 let me

01:00:19.800 can I

01:00:20.160 give you

01:00:20.380 an

01:00:20.500 example

01:00:20.920 well I

01:00:21.740 really

01:00:21.940 kind of

01:00:22.200 want to

01:00:22.380 move on

01:00:22.680 to the

01:00:22.880 Fauci

01:00:23.180 book

01:00:23.460 so I

01:00:24.020 mean I

01:00:24.260 think

01:00:24.580 the

01:00:24.740 audience

01:00:25.040 has a

01:00:26.760 feel

01:00:26.920 for

01:00:27.160 your

01:00:27.540 position

01:00:28.420 and

01:00:29.060 that

01:00:29.320 of

01:00:29.520 the

01:00:29.660 CDC

01:00:29.920 and

01:00:30.100 the

01:00:30.200 other

01:00:30.320 authorities

01:00:30.700 they

01:00:30.860 can

01:00:30.960 make

01:00:31.100 up

01:00:31.200 their

01:00:31.320 mind

01:00:31.760 at

01:00:31.860 this

01:00:31.980 point

01:00:32.080 let's

01:00:32.260 advance

01:00:32.560 the

01:00:32.700 discussion

01:00:33.020 okay

01:00:33.360 with

01:00:33.900 respect

01:00:34.180 to

01:00:34.340 you

01:00:34.560 then

01:00:35.660 they

01:00:35.840 could

01:00:35.960 read

01:00:36.100 the

01:00:36.180 book

01:00:36.300 and

01:00:36.380 they

01:00:36.480 should

01:00:36.640 read

01:00:36.860 both

01:00:37.420 of

01:00:37.520 your

01:00:37.600 books

01:00:37.800 up

01:00:39.660 next

01:00:40.020 Robert F

01:00:40.780 Kennedy

01:00:41.000 Jr.

01:00:41.520 on

01:00:41.800 Dr.

01:00:42.360 Fauci

01:00:42.720 Bill Gates

01:00:43.460 and whether

01:00:44.140 he thinks

01:00:44.580 the

01:00:44.780 COVID

01:00:45.100 pandemic

01:00:45.760 was

01:00:46.600 fake

01:00:47.180 his answer

01:00:48.140 might surprise

01:00:48.640 you

01:00:48.820 next

01:00:49.280 next up

01:00:56.520 in our

01:00:56.720 discussion

01:00:57.100 Dr.

01:00:57.760 Anthony

01:00:58.120 Fauci

01:00:58.520 in his

01:00:59.380 book

01:00:59.640 Robert

01:00:59.940 writes

01:01:00.300 several

01:01:00.720 chapters

01:01:01.160 about

01:01:01.880 Dr.

01:01:02.300 Fauci's

01:01:02.660 finances

01:01:03.060 he's

01:01:03.840 not

01:01:03.940 the

01:01:04.060 only

01:01:04.200 person

01:01:04.540 who

01:01:04.680 has

01:01:04.800 done

01:01:04.960 deep

01:01:05.160 dives

01:01:05.420 on

01:01:05.600 this

01:01:05.860 recently

01:01:06.780 former

01:01:07.440 Forbes

01:01:08.020 reporter

01:01:08.480 Adam

01:01:09.180 Andrzejewski

01:01:09.860 wrote

01:01:10.460 several

01:01:10.780 articles

01:01:11.140 on all

01:01:11.760 the

01:01:11.860 money

01:01:12.020 Dr.

01:01:12.360 Fauci

01:01:12.580 has

01:01:12.780 made

01:01:12.960 while

01:01:13.120 working

01:01:13.460 for

01:01:13.840 us

01:01:14.160 the

01:01:14.960 U.S.

01:01:15.280 government

01:01:15.560 we fund

01:01:16.720 him

01:01:17.100 and

01:01:17.660 them

01:01:17.980 from

01:01:18.940 pay

01:01:19.260 raises

01:01:19.660 and

01:01:20.000 big

01:01:20.220 bonuses

01:01:20.660 to

01:01:21.020 royalties

01:01:21.540 and

01:01:21.700 investments

01:01:22.240 all

01:01:23.220 added

01:01:23.520 up

01:01:23.780 he

01:01:23.940 reports

01:01:24.360 it's

01:01:24.600 several

01:01:25.120 million

01:01:25.520 dollars

01:01:26.000 Dr.

01:01:26.580 Fauci

01:01:26.820 has

01:01:27.020 received

01:01:27.520 in

01:01:28.340 return

01:01:28.740 for

01:01:29.160 that

01:01:29.480 reporting

01:01:29.900 Adam

01:01:30.620 says

01:01:30.920 he

01:01:31.160 was

01:01:31.320 fired

01:01:31.880 by

01:01:32.320 Forbes

01:01:32.680 but

01:01:33.580 Robert

01:01:34.340 Kennedy

01:01:34.680 says

01:01:35.260 he does

01:01:35.660 not

01:01:35.880 think

01:01:36.080 Fauci's

01:01:36.480 main

01:01:36.660 focus

01:01:37.060 is

01:01:37.920 money

01:01:38.500 so

01:01:39.300 I

01:01:39.480 asked

01:01:39.700 him

01:01:39.880 what

01:01:40.680 is

01:01:40.840 it

01:01:41.060 I

01:01:42.580 would

01:01:42.900 characterize

01:01:43.620 Anthony

01:01:44.200 Fauci

01:01:44.680 as

01:01:45.020 kind

01:01:45.300 of

01:01:45.440 the

01:01:45.960 preeminent

01:01:46.760 architect

01:01:47.620 of

01:01:47.860 agency

01:01:48.260 capture

01:01:48.820 of

01:01:49.420 the

01:01:49.840 transfer

01:01:52.520 of

01:01:54.500 NIAID

01:01:55.880 and

01:01:56.760 also

01:01:57.480 its

01:01:57.860 parent

01:01:58.260 agency

01:01:59.420 NIH

01:01:59.980 from

01:02:01.520 the

01:02:01.680 public

01:02:01.980 health

01:02:02.260 agency

01:02:02.820 to

01:02:03.200 an

01:02:03.360 agency

01:02:03.700 that

01:02:03.960 is

01:02:04.120 primarily

01:02:04.720 concerned

01:02:05.600 with

01:02:06.080 drug

01:02:06.460 promotion

01:02:07.060 and

01:02:07.460 partnering

01:02:10.260 with

01:02:10.620 the

01:02:10.780 pharmaceutical

01:02:11.240 industry

01:02:11.980 on

01:02:12.260 profit

01:02:12.700 making

01:02:13.220 enterprises

01:02:14.020 does

01:02:15.340 he

01:02:15.660 personally

01:02:16.260 make

01:02:16.580 a profit

01:02:17.000 through

01:02:17.420 this

01:02:17.760 I

01:02:20.040 would

01:02:20.260 say

01:02:20.540 that

01:02:20.740 that

01:02:21.040 is

01:02:21.420 the

01:02:21.680 least

01:02:22.060 important

01:02:22.880 factor

01:02:24.900 in

01:02:25.700 this

01:02:27.020 problem

01:02:30.160 legally

01:02:33.340 he can

01:02:33.960 make

01:02:34.300 money

01:02:34.880 and

01:02:35.200 he

01:02:35.320 does

01:02:35.720 we

01:02:36.580 know

01:02:36.840 at

01:02:37.020 least

01:02:37.280 one

01:02:37.620 patent

01:02:37.940 he

01:02:38.100 has

01:02:38.300 any

01:02:38.780 product

01:02:39.740 that

01:02:40.160 is

01:02:40.440 developed

01:02:41.020 by

01:02:41.560 NIAID

01:02:43.660 anybody

01:02:45.180 who works

01:02:45.860 on that

01:02:46.220 product

01:02:46.620 that he

01:02:47.080 designates

01:02:47.960 can get

01:02:48.780 a

01:02:49.320 patent

01:02:50.100 margin

01:02:51.060 rights

01:02:51.600 on that

01:02:52.100 product

01:02:52.460 that

01:02:52.660 entitle

01:02:53.160 them

01:02:53.460 under

01:02:53.900 the

01:02:54.360 federal

01:02:54.640 rules

01:02:55.040 now

01:02:55.440 to

01:02:56.840 collect

01:02:57.200 $150,000

01:02:58.440 a year

01:02:59.080 for royalty

01:03:00.020 for life

01:03:00.720 so he

01:03:01.340 has four

01:03:01.940 of his

01:03:02.320 top

01:03:02.680 employees

01:03:03.240 who each

01:03:04.500 have

01:03:04.660 margin

01:03:05.020 rights

01:03:05.360 patent

01:03:05.720 rights

01:03:06.040 royalty

01:03:06.460 rights

01:03:07.000 or the

01:03:07.660 Moderna

01:03:08.060 vaccine

01:03:08.680 because we

01:03:10.080 paid for

01:03:10.600 we put

01:03:11.100 a US

01:03:12.120 taxpayer

01:03:12.620 through

01:03:13.200 Fauci

01:03:13.700 put in

01:03:14.160 $1.5

01:03:14.960 billion

01:03:15.260 now

01:03:16.840 $2.5

01:03:17.800 billion

01:03:18.120 to develop

01:03:18.780 that vaccine

01:03:19.660 NIH

01:03:21.080 claims

01:03:22.000 half

01:03:22.520 of the

01:03:22.720 vaccine

01:03:23.140 to own

01:03:23.540 half

01:03:23.800 of the

01:03:23.940 vaccine

01:03:24.240 so it

01:03:24.980 stands to

01:03:25.840 make billions

01:03:26.520 and billions

01:03:27.080 of dollars

01:03:27.540 the agency

01:03:28.260 but also

01:03:29.120 high level

01:03:30.000 individuals

01:03:30.620 influential

01:03:31.160 individuals

01:03:31.860 in the

01:03:32.360 agency

01:03:32.680 people

01:03:33.120 who are

01:03:33.360 very loyal

01:03:34.040 to Tony

01:03:34.540 Fauci

01:03:35.040 can get

01:03:36.720 awarded

01:03:37.220 through

01:03:37.940 Fauci

01:03:38.500 the rights

01:03:39.860 to get

01:03:40.280 to

01:03:40.680 collect

01:03:41.980 lifetime

01:03:42.680 royalties

01:03:43.320 on those

01:03:43.980 products

01:03:45.060 and they

01:03:46.180 make

01:03:46.460 hundreds

01:03:46.920 and hundreds

01:03:47.280 of

01:03:47.440 products

01:03:47.920 they

01:03:49.180 develop

01:03:49.520 hundreds

01:03:49.860 and hundreds

01:03:50.160 of

01:03:50.320 products

01:03:50.720 and all

01:03:51.280 of those

01:03:51.860 are

01:03:52.240 potential

01:03:52.920 profit

01:03:54.800 making

01:03:55.520 enterprises

01:03:56.580 for

01:03:57.160 people

01:03:57.820 high level

01:03:58.420 people

01:03:58.780 within

01:03:59.120 NIH

01:03:59.700 but you

01:04:00.400 don't seem

01:04:01.640 to be

01:04:01.860 alleging

01:04:02.240 that that's

01:04:02.700 really his

01:04:03.160 motivation

01:04:03.720 what's the

01:04:06.720 motivation

01:04:07.080 power

01:04:07.540 I think

01:04:09.740 it's

01:04:10.120 power

01:04:10.460 you know

01:04:11.740 what

01:04:12.000 Megan

01:04:12.660 one of

01:04:13.080 the

01:04:13.200 things

01:04:13.500 I

01:04:13.700 really

01:04:14.140 tried

01:04:15.880 to do

01:04:16.160 in the

01:04:16.380 book

01:04:16.580 is to

01:04:16.960 never

01:04:17.200 look

01:04:17.540 into

01:04:17.740 his

01:04:18.020 head

01:04:18.360 and

01:04:18.880 never

01:04:19.140 wore

01:04:19.440 Bill

01:04:19.680 Gates

01:04:20.020 his

01:04:20.220 head

01:04:20.420 or

01:04:20.560 any

01:04:20.920 of

01:04:21.080 the

01:04:21.180 other

01:04:21.380 people

01:04:21.700 in the

01:04:21.920 book

01:04:22.140 and say

01:04:22.540 this is

01:04:23.080 why

01:04:23.260 they're

01:04:23.400 doing

01:04:23.600 it

01:04:23.740 because

01:04:23.860 I

01:04:24.200 don't

01:04:24.420 know

01:04:24.660 I

01:04:24.900 don't

01:04:25.020 know

01:04:25.200 what

01:04:25.340 motivates

01:04:25.860 them

01:04:26.040 what

01:04:26.220 I

01:04:26.480 do

01:04:26.720 my

01:04:27.000 job

01:04:27.380 is

01:04:27.760 to

01:04:27.960 document

01:04:28.560 their

01:04:29.060 conduct

01:04:29.700 and

01:04:30.060 if

01:04:30.220 you

01:04:30.500 look

01:04:32.120 at

01:04:32.240 his

01:04:32.440 conduct

01:04:32.860 time

01:04:33.400 after

01:04:33.660 time

01:04:34.000 after

01:04:34.220 time

01:04:34.540 he

01:04:34.880 does

01:04:35.320 things

01:04:35.660 that

01:04:35.840 are

01:04:35.960 consistent

01:04:36.560 with

01:04:37.960 making

01:04:44.140 and

01:04:45.460 that

01:04:45.940 even

01:04:46.500 at

01:04:46.900 the

01:04:47.080 direct

01:04:47.580 and

01:04:47.900 clear

01:04:48.220 expense

01:04:48.780 of

01:04:48.980 public

01:04:49.260 health

01:04:49.640 what

01:04:51.760 can

01:04:52.140 you

01:04:52.280 talk

01:04:52.560 about

01:04:52.780 his

01:04:52.980 relationship

01:04:53.480 with

01:04:53.740 Bill

01:04:53.960 Gates

01:04:54.320 because

01:04:55.000 I'll

01:04:55.120 tell

01:04:55.280 you

01:04:55.380 I'm

01:04:55.720 a

01:04:55.880 lunatic

01:04:56.220 fringe

01:04:56.720 with

01:04:57.280 respect

01:04:57.520 to

01:04:57.660 the

01:04:57.760 lunatic

01:04:58.000 fringe

01:04:58.520 there

01:04:59.520 are

01:04:59.720 people

01:05:00.280 in the

01:05:00.500 country

01:05:00.680 who

01:05:00.840 think

01:05:01.060 if

01:05:01.420 you

01:05:01.500 get

01:05:01.600 the

01:05:01.720 vaccine

01:05:02.200 they're

01:05:02.700 injecting

01:05:03.180 a

01:05:03.280 little

01:05:03.420 bot

01:05:03.780 in

01:05:03.960 your

01:05:04.100 arm

01:05:04.520 that

01:05:05.020 Bill

01:05:05.220 Gates

01:05:05.440 created

01:05:05.900 that's

01:05:06.340 going

01:05:06.480 to

01:05:06.620 monitor

01:05:06.960 you

01:05:07.280 and

01:05:07.480 report

01:05:07.780 information

01:05:08.240 back

01:05:08.560 on

01:05:09.220 you

01:05:09.460 to

01:05:09.680 Bill

01:05:09.860 Gates

01:05:10.140 now

01:05:10.620 that's

01:05:10.860 crazy

01:05:11.140 town

01:05:11.440 but

01:05:12.340 that's

01:05:12.760 not

01:05:12.900 to

01:05:13.040 say

01:05:13.180 that

01:05:13.360 Bill

01:05:13.540 Gates

01:05:13.780 has

01:05:14.040 absolutely

01:05:14.600 no

01:05:14.900 connection

01:05:15.380 certainly

01:05:16.080 to

01:05:16.700 vaccines

01:05:17.720 big

01:05:18.320 pharma

01:05:18.740 or

01:05:19.300 Anthony

01:05:19.720 Fauci

01:05:20.180 so

01:05:20.700 can

01:05:20.820 you

01:05:20.900 talk

01:05:21.060 about

01:05:21.320 the

01:05:21.640 that

01:05:22.380 relationship

01:05:22.840 between

01:05:23.120 the

01:05:23.260 two

01:05:23.360 of

01:05:23.480 them

01:05:23.680 and

01:05:25.260 by

01:05:25.560 the

01:05:25.660 way

01:05:25.900 the

01:05:26.200 you

01:05:26.720 know

01:05:26.840 the

01:05:27.040 the

01:05:27.640 idea

01:05:29.940 that

01:05:30.300 these

01:05:30.620 monitoring

01:05:31.220 chips

01:05:31.740 are

01:05:32.040 in

01:05:32.280 the

01:05:32.400 vaccines

01:05:32.920 I

01:05:33.720 have

01:05:34.100 never

01:05:34.300 promoted

01:05:34.760 that

01:05:35.060 and

01:05:35.220 don't

01:05:35.440 believe

01:05:35.720 that

01:05:35.920 to

01:05:36.060 be

01:05:36.220 true

01:05:36.440 but

01:05:36.840 one

01:05:39.140 of

01:05:39.280 the

01:05:39.480 stories

01:05:40.020 I

01:05:40.260 tell

01:05:40.480 in

01:05:40.600 my

01:05:40.780 book

01:05:41.200 is

01:05:42.620 that

01:05:43.080 you

01:05:44.440 know

01:05:44.620 that

01:05:44.880 that

01:05:45.500 WHO

01:05:46.500 with

01:05:47.520 Gates

01:05:48.220 influence

01:05:49.640 support

01:05:50.100 participation

01:05:50.960 administered

01:05:52.880 a million

01:05:53.560 vaccines

01:05:54.880 to

01:05:55.100 Kenyan

01:05:55.480 women

01:05:55.780 that

01:05:57.560 designed

01:05:58.240 to

01:05:58.480 sterilize

01:05:59.120 them

01:05:59.360 against

01:06:00.000 without

01:06:00.360 their

01:06:00.780 knowledge

01:06:01.300 and

01:06:01.580 against

01:06:01.860 their

01:06:02.060 will

01:06:02.240 pretending

01:06:03.200 it

01:06:03.640 was a

01:06:03.960 tetanus

01:06:04.300 program

01:06:04.900 but

01:06:06.380 included

01:06:06.920 in

01:06:07.140 that

01:06:07.380 tetanus

01:06:07.960 vaccine

01:06:09.120 without

01:06:10.060 anybody

01:06:10.500 knowing

01:06:11.060 human

01:06:12.800 gonadotrophic

01:06:13.660 hormones

01:06:14.200 which

01:06:14.820 interact

01:06:15.660 with

01:06:15.860 tetanus

01:06:16.220 toxoids

01:06:17.000 as

01:06:17.340 essentially

01:06:18.100 a chemical

01:06:18.680 castration

01:06:19.440 drug

01:06:19.840 for

01:06:20.040 women

01:06:20.560 and

01:06:21.000 he

01:06:21.140 gave

01:06:21.400 that

01:06:21.760 to

01:06:23.720 WHO

01:06:24.580 gave

01:06:26.020 that

01:06:26.340 to

01:06:26.680 at

01:06:27.100 least

01:06:27.480 a

01:06:27.700 million

01:06:27.900 women

01:06:28.240 in

01:06:28.460 Kenya

01:06:28.760 and

01:06:29.280 they

01:06:29.440 had

01:06:29.620 similar

01:06:29.940 programs

01:06:30.540 in

01:06:30.700 Nicaragua

01:06:31.320 and

01:06:31.600 Mexico

01:06:31.980 and

01:06:32.300 the

01:06:32.460 Philippines

01:06:32.880 which

01:06:33.680 clearly

01:06:35.660 they

01:06:35.960 were

01:06:36.100 doing

01:06:36.380 that

01:06:36.640 although

01:06:36.980 we

01:06:37.280 don't

01:06:37.640 have

01:06:37.900 the

01:06:38.060 vials

01:06:38.480 we

01:06:38.760 got

01:06:39.020 the

01:06:39.240 vials

01:06:39.560 from

01:06:39.820 Kenya

01:06:40.140 so we

01:06:40.560 know

01:06:40.740 what

01:06:40.900 they

01:06:41.040 were

01:06:41.140 doing

01:06:41.360 and

01:06:41.500 they've

01:06:41.700 admitted

01:06:41.960 it

01:06:42.200 they've

01:06:43.360 admitted

01:06:43.560 that they

01:06:45.820 secretly

01:06:46.480 sterilized

01:06:47.780 African

01:06:48.740 women

01:06:49.020 against

01:06:49.580 their

01:06:49.900 will

01:06:50.240 and

01:06:50.340 without

01:06:50.480 their

01:06:50.640 knowledge

01:06:50.940 years

01:06:51.820 and

01:06:52.500 I

01:06:53.260 would

01:06:53.420 urge

01:06:53.840 you

01:06:53.940 to

01:06:54.080 read

01:06:54.260 this

01:06:54.480 chapter

01:06:54.800 of

01:06:54.940 my

01:06:55.120 book

01:06:55.480 they've

01:06:56.960 admitted

01:06:57.340 that

01:06:57.680 there

01:06:57.920 was

01:06:58.120 human

01:06:58.360 gonadotrophic

01:06:59.440 hormone

01:07:01.840 in that

01:07:02.920 vaccine

01:07:03.620 which

01:07:03.860 there's

01:07:04.100 no reason

01:07:04.640 it should

01:07:04.980 have

01:07:05.080 been

01:07:05.280 and

01:07:05.680 then

01:07:05.880 admitted

01:07:06.600 that

01:07:06.840 there

01:07:07.080 were

01:07:07.280 but

01:07:07.660 if

01:07:09.120 you

01:07:09.260 read

01:07:09.520 my

01:07:09.720 book

01:07:10.120 you'll

01:07:10.460 read

01:07:10.760 that

01:07:11.120 for

01:07:11.660 20

01:07:12.160 years

01:07:12.780 WHO

01:07:14.820 has

01:07:15.940 been

01:07:16.360 spending

01:07:17.740 tens of

01:07:18.500 millions

01:07:18.760 dollars

01:07:19.360 developing

01:07:20.720 these

01:07:21.260 sterilization

01:07:22.100 drugs

01:07:22.680 to

01:07:22.920 surreptitiously

01:07:23.620 give

01:07:24.040 women

01:07:24.380 now

01:07:24.980 you know

01:07:25.420 this

01:07:25.660 sounds

01:07:26.060 paranoid

01:07:26.900 but

01:07:27.260 they've

01:07:27.620 published

01:07:28.000 papers

01:07:28.760 on it

01:07:29.500 well

01:07:30.280 as

01:07:31.120 you already

01:07:31.460 established

01:07:32.820 that doesn't

01:07:33.460 mean

01:07:33.700 anything

01:07:34.100 yeah

01:07:34.980 no

01:07:35.540 no

01:07:36.160 I'm

01:07:36.900 saying

01:07:37.180 WHO

01:07:37.920 has

01:07:39.900 published

01:07:40.480 it has

01:07:41.100 paid

01:07:41.600 researchers

01:07:42.440 to find

01:07:43.440 ways to

01:07:44.420 chemically

01:07:45.000 castrate

01:07:45.620 women

01:07:45.960 against

01:07:47.000 their will

01:07:47.440 and without

01:07:47.800 their knowledge

01:07:48.360 well

01:07:49.360 we don't

01:07:51.220 know

01:07:51.580 well that's

01:07:52.680 that's a

01:07:53.140 relevant

01:07:53.360 factor

01:07:53.840 some

01:07:54.780 some

01:07:55.120 women

01:07:55.300 get an

01:07:55.760 iud

01:07:56.020 put in

01:07:56.400 some

01:07:56.600 women

01:07:56.780 get their

01:07:57.060 tubes

01:07:57.320 tied

01:07:57.540 all I

01:07:58.680 can tell

01:07:59.100 you is

01:07:59.520 from

01:08:00.360 the

01:08:00.680 papers

01:08:01.120 it's

01:08:01.620 just

01:08:01.860 saying

01:08:02.300 these

01:08:03.700 are

01:08:03.860 studies

01:08:04.300 that

01:08:04.600 are

01:08:04.700 developing

01:08:05.240 drugs

01:08:05.720 they're

01:08:06.020 saying

01:08:06.380 here's

01:08:06.920 how

01:08:07.200 this

01:08:07.920 works

01:08:08.400 and

01:08:08.700 we

01:08:08.860 test

01:08:09.160 it

01:08:09.300 on

01:08:09.440 people

01:08:09.740 and

01:08:10.120 it

01:08:10.260 works

01:08:10.560 and

01:08:11.840 then

01:08:12.140 when

01:08:12.700 it

01:08:12.880 came

01:08:13.100 time

01:08:13.500 for

01:08:13.680 them

01:08:13.860 to

01:08:14.080 give

01:08:14.400 to

01:08:14.760 use

01:08:15.260 those

01:08:15.580 products

01:08:16.060 that

01:08:16.260 WHO

01:08:16.740 has

01:08:17.060 been

01:08:17.220 all

01:08:17.400 those

01:08:17.600 years

01:08:17.800 developing

01:08:18.380 they

01:08:19.800 gave

01:08:20.120 it

01:08:20.240 to

01:08:20.360 a

01:08:20.480 million

01:08:20.700 women

01:08:21.080 surreptitiously

01:08:21.860 without

01:08:22.260 their

01:08:22.480 knowledge

01:08:22.920 so

01:08:23.780 the

01:08:24.040 papers

01:08:24.460 don't

01:08:24.820 say

01:08:25.240 here's

01:08:26.640 what

01:08:26.780 we're

01:08:26.960 going

01:08:27.060 to

01:08:27.160 do

01:08:27.400 we're

01:08:27.660 going

01:08:27.780 to

01:08:27.920 sneak

01:08:28.180 up

01:08:28.440 on

01:08:28.700 them

01:08:28.880 and

01:08:29.240 ambush

01:08:29.840 them

01:08:30.100 the

01:08:31.160 papers

01:08:31.480 say

01:08:31.780 here's

01:08:32.380 how

01:08:32.540 you

01:08:32.740 develop

01:08:33.180 this

01:08:33.780 vaccine

01:08:34.760 and

01:08:35.160 you

01:08:35.340 hide

01:08:35.700 it

01:08:35.840 in

01:08:35.960 a

01:08:36.280 tetanus

01:08:36.740 vaccine

01:08:37.220 and

01:08:38.700 then

01:08:39.020 when

01:08:39.520 it

01:08:39.680 actually

01:08:40.260 came

01:08:40.580 time

01:08:40.980 for

01:08:41.140 them

01:08:41.340 to

01:08:41.500 do

01:08:41.620 the

01:08:41.780 program

01:08:42.400 they

01:08:43.840 did

01:08:44.180 not

01:08:44.440 tell

01:08:44.720 the

01:08:44.860 women

01:08:45.100 and

01:08:45.920 they

01:08:46.080 were

01:08:46.300 caught

01:08:46.800 by

01:08:48.220 the

01:08:48.420 catholic

01:08:49.020 medical

01:08:50.200 association

01:08:50.960 of

01:08:51.200 Kenya

01:08:51.500 who

01:08:52.140 noticed

01:08:52.780 that

01:08:53.180 first

01:08:53.700 of

01:08:53.920 all

01:08:54.180 usually

01:08:55.760 when you

01:08:56.080 get

01:08:56.180 a tetanus

01:08:56.620 vaccine

01:08:57.040 you

01:08:57.240 only

01:08:57.480 give

01:08:57.720 one

01:08:58.060 dose

01:08:58.400 and

01:08:58.860 it's

01:08:59.000 good

01:08:59.160 for

01:08:59.320 10

01:08:59.560 years

01:08:59.820 but

01:09:00.080 they

01:09:00.260 were

01:09:00.440 told

01:09:00.700 to

01:09:00.880 give

01:09:01.080 five

01:09:01.500 doses

01:09:02.000 in

01:09:02.600 six

01:09:02.880 months

01:09:03.220 which

01:09:03.580 made

01:09:04.020 the

01:09:04.180 doctors

01:09:04.640 the

01:09:04.960 catholic

01:09:05.280 medical

01:09:05.920 association

01:09:06.520 say

01:09:06.860 something's

01:09:07.440 wrong

01:09:07.760 here

01:09:08.040 and

01:09:09.600 it

01:09:09.740 was

01:09:09.900 only

01:09:10.360 given

01:09:10.900 to

01:09:11.140 women

01:09:11.340 of

01:09:11.520 childbearing

01:09:12.100 years

01:09:12.600 women

01:09:13.040 from

01:09:13.300 14

01:09:13.800 years

01:09:14.100 old

01:09:14.600 to

01:09:14.960 I

01:09:15.220 think

01:09:15.400 34

01:09:15.860 years

01:09:16.220 old

01:09:16.500 which

01:09:17.720 was

01:09:18.340 weird

01:09:18.680 because

01:09:19.020 men

01:09:19.360 also

01:09:19.700 get

01:09:20.020 tetanus

01:09:20.480 there

01:09:21.040 was

01:09:21.480 no

01:09:21.740 tetanus

01:09:22.160 outbreak

01:09:22.660 at

01:09:22.900 that

01:09:23.000 time

01:09:23.380 that

01:09:27.240 got

01:09:27.800 a hold

01:09:28.160 of

01:09:28.280 the

01:09:28.400 vials

01:09:28.860 and

01:09:29.500 they

01:09:29.660 tested

01:09:30.100 them

01:09:30.460 in

01:09:30.600 half

01:09:30.920 a dozen

01:09:31.220 different

01:09:31.640 labs

01:09:32.180 and

01:09:32.840 they

01:09:32.980 all

01:09:33.300 came

01:09:33.540 back

01:09:33.700 and

01:09:34.540 said

01:09:36.700 yeah

01:09:37.100 they

01:09:37.660 contain

01:09:38.100 this

01:09:38.580 drug

01:09:38.960 look

01:09:39.520 I

01:09:39.740 understand

01:09:40.100 and

01:09:40.480 I

01:09:40.660 have

01:09:40.820 read

01:09:40.960 your

01:09:41.080 book

01:09:41.280 and

01:09:41.520 I

01:09:41.640 understand

01:09:41.960 there

01:09:42.200 are

01:09:42.340 plenty

01:09:42.540 of

01:09:42.680 allegations

01:09:43.020 in

01:09:43.740 there

01:09:43.900 speaking

01:09:44.220 about

01:09:44.540 what

01:09:44.780 Bill

01:09:44.980 Gates

01:09:45.220 has

01:09:45.380 done

01:09:45.520 in

01:09:45.660 Africa

01:09:46.000 and

01:09:46.840 the

01:09:47.020 number

01:09:47.260 of

01:09:47.420 people

01:09:47.620 who

01:09:47.820 have

01:09:48.040 been

01:09:48.300 hurt

01:09:48.640 or

01:09:48.900 killed

01:09:49.240 by

01:09:49.460 experimental

01:09:49.960 vaccines

01:09:50.580 that

01:09:51.420 he's

01:09:51.900 he's

01:09:52.620 behind

01:09:53.440 what

01:09:54.700 I

01:09:54.820 also

01:09:55.020 understand

01:09:55.400 is

01:09:55.660 most

01:09:56.640 of

01:09:56.760 the

01:09:56.860 experts

01:09:57.100 who

01:09:57.260 look

01:09:57.440 at

01:09:57.520 this

01:09:57.680 and

01:09:57.800 work

01:09:58.040 with

01:09:58.380 the

01:09:58.500 Gates

01:09:58.660 Foundation

01:09:59.060 with

01:09:59.260 Bill

01:09:59.440 Gates

01:09:59.660 say

01:09:59.900 he's

01:10:00.460 saved

01:10:00.980 millions

01:10:01.300 of

01:10:01.500 lives

01:10:01.760 with

01:10:02.040 the

01:10:02.140 vaccines

01:10:02.480 that

01:10:02.660 he's

01:10:02.860 pushed

01:10:03.160 let's

01:10:03.620 let's

01:10:03.860 put it

01:10:04.060 in

01:10:04.200 context

01:10:04.600 he

01:10:05.320 has

01:10:05.920 been

01:10:06.080 testing

01:10:06.460 medicines

01:10:07.060 in

01:10:07.400 Africa

01:10:07.820 sometimes

01:10:08.300 with

01:10:09.280 success

01:10:09.660 and

01:10:09.840 sometimes

01:10:10.200 not

01:10:10.540 in

01:10:10.700 an

01:10:10.820 effort

01:10:10.980 to

01:10:11.480 improve

01:10:11.960 public

01:10:12.380 health

01:10:12.640 over

01:10:12.860 there

01:10:13.080 this

01:10:13.280 is

01:10:13.400 not

01:10:13.640 there's

01:10:14.120 no

01:10:14.240 evidence

01:10:14.540 he's

01:10:14.740 some

01:10:14.880 madman

01:10:15.340 who's

01:10:23.440 found

01:10:24.340 a

01:10:24.720 single

01:10:25.400 factual

01:10:26.060 error

01:10:26.380 in

01:10:26.520 my

01:10:26.700 book

01:10:26.920 the

01:10:27.080 book

01:10:27.380 is

01:10:27.700 230,000

01:10:28.840 years

01:10:29.180 of

01:10:29.440 words

01:10:29.820 it

01:10:29.960 has

01:10:30.120 2200

01:10:30.900 footnotes

01:10:31.700 every

01:10:32.900 factual

01:10:33.400 assertion

01:10:33.860 is

01:10:34.060 cited

01:10:34.400 and

01:10:34.640 sourced

01:10:35.000 peer

01:10:35.340 reviewed

01:10:35.640 publications

01:10:36.420 or

01:10:37.040 to

01:10:37.420 the

01:10:38.460 government

01:10:38.820 databases

01:10:39.520 and

01:10:40.960 you

01:10:41.100 know

01:10:41.200 if

01:10:41.360 they

01:10:41.480 want

01:10:41.820 it

01:10:41.960 if

01:10:42.160 they

01:10:42.320 really

01:10:42.760 believe

01:10:43.460 that

01:10:43.680 I

01:10:43.880 was

01:10:44.200 saying

01:10:44.580 something

01:10:44.900 that

01:10:45.080 was

01:10:45.260 untrue

01:10:45.660 why

01:10:46.040 not

01:10:46.420 come

01:10:47.220 out

01:10:47.480 and

01:10:47.680 say

01:10:47.960 what

01:10:48.340 it

01:10:48.480 is

01:10:48.760 and

01:10:49.020 nobody

01:10:49.280 has

01:10:49.460 done

01:10:49.660 that

01:10:49.940 the

01:10:51.020 WHO

01:10:51.540 and

01:10:52.200 Kenyan

01:10:53.440 women

01:10:56.160 using

01:10:56.600 the

01:10:56.780 tetanus

01:10:57.020 vaccine

01:10:57.440 is

01:10:58.460 incorrect

01:10:59.020 that

01:10:59.420 it's

01:11:00.120 not

01:11:00.460 fact

01:11:00.780 based

01:11:01.100 and

01:11:01.320 the

01:11:01.460 UN

01:11:01.640 health

01:11:01.900 agency

01:11:02.260 says

01:11:02.620 the

01:11:02.860 vaccine

01:11:03.260 is

01:11:03.580 safe

01:11:03.880 for

01:11:04.360 the

01:11:04.480 record

01:11:04.720 the

01:11:05.380 World

01:11:05.560 Health

01:11:05.760 Organization

01:11:06.200 has

01:11:06.440 dismissed

01:11:06.900 that

01:11:07.280 the

01:11:07.400 presence

01:11:07.640 of

01:11:07.780 HCG

01:11:08.420 in

01:11:08.960 the

01:11:09.080 vaccine

01:11:09.500 is

01:11:10.380 a

01:11:10.500 problem

01:11:10.780 they've

01:11:11.080 confirmed

01:11:11.380 that

01:11:11.600 it's

01:11:11.800 safe

01:11:12.300 I

01:11:12.780 understand

01:11:13.000 you

01:11:13.180 reject

01:11:13.480 that

01:11:13.700 but

01:11:13.820 this

01:11:13.960 is

01:11:14.040 what

01:11:14.160 they

01:11:14.280 say

01:11:14.560 they

01:11:14.820 say

01:11:14.980 the

01:11:15.080 vaccine

01:11:15.380 has

01:11:15.620 been

01:11:15.740 used

01:11:16.000 in

01:11:16.200 52

01:11:16.560 countries

01:11:16.960 to

01:11:22.200 immunize

01:11:22.600 of 130

01:11:23.300 million

01:11:23.640 women

01:11:23.940 to

01:11:24.440 protect

01:11:24.680 them

01:11:24.840 and

01:11:24.940 their

01:11:25.040 newborn

01:11:25.240 babies

01:11:25.660 from

01:11:25.840 tetanus

01:11:26.220 this

01:11:27.000 is

01:11:27.120 from

01:11:27.240 WHO

01:11:27.700 in

01:11:27.880 November

01:11:28.120 2014

01:11:28.620 there

01:11:29.000 is

01:11:29.320 no

01:11:29.820 HCG

01:11:30.420 hormone

01:11:30.740 and

01:11:30.920 tetanus

01:11:31.280 toxoid

01:11:31.980 vaccines

01:11:32.620 and

01:11:33.220 they go

01:11:33.480 on to

01:11:33.780 say

01:11:33.940 that

01:11:34.220 the

01:11:34.620 Kenyan

01:11:34.840 health

01:11:35.060 authorities

01:11:35.440 they say

01:11:36.200 the

01:11:36.380 allegations

01:11:36.840 that

01:11:37.140 describe

01:11:37.620 this

01:11:38.540 is a

01:11:38.800 problematic

01:11:39.240 or a

01:11:39.640 deadly

01:11:39.820 vaccine

01:11:40.560 are

01:11:41.000 baseless

01:11:41.920 not

01:11:42.460 backed

01:11:42.720 by

01:11:42.900 science

01:11:43.420 scientific

01:11:44.260 evidence

01:11:44.720 and

01:11:45.140 ill

01:11:45.400 intended

01:11:45.680 to cause

01:11:46.020 fear

01:11:46.240 and

01:11:46.360 despondency

01:11:46.820 among

01:11:47.100 Kenyans

01:11:47.660 have

01:11:54.080 they

01:11:54.240 explained

01:11:54.720 why

01:11:55.020 the

01:11:55.240 HGH

01:11:55.680 was

01:11:56.040 in

01:11:56.180 the

01:11:56.300 vaccine

01:11:56.820 there's

01:11:58.240 no

01:11:58.420 reason

01:11:58.760 to

01:11:58.920 put

01:11:59.080 it

01:11:59.200 in

01:11:59.320 the

01:11:59.420 vaccine

01:11:59.920 initially

01:12:00.660 they

01:12:00.940 said

01:12:01.180 it's

01:12:01.400 not

01:12:01.660 in

01:12:01.840 there

01:12:02.140 and

01:12:02.540 now

01:12:02.760 they're

01:12:02.940 saying

01:12:03.280 in

01:12:03.580 the

01:12:03.720 current

01:12:03.980 ones

01:12:04.320 it's

01:12:04.540 not

01:12:04.760 in

01:12:05.040 but

01:12:06.100 they

01:12:06.260 admitted

01:12:06.680 it was

01:12:07.400 in

01:12:07.540 the

01:12:07.640 ones

01:12:07.880 that

01:12:08.000 the

01:12:08.120 catholic

01:12:08.440 doctors

01:12:08.860 associations

01:12:09.700 tested

01:12:10.400 and

01:12:10.900 they

01:12:11.080 said

01:12:11.920 it's

01:12:12.800 in

01:12:13.000 there

01:12:13.220 but

01:12:13.420 it

01:12:13.580 wasn't

01:12:13.880 put

01:12:14.080 in

01:12:14.260 there

01:12:14.480 to

01:12:14.760 sterilize

01:12:15.280 women

01:12:15.560 and

01:12:15.760 it's

01:12:15.920 not

01:12:16.300 safe

01:12:18.560 and

01:12:19.200 they

01:12:19.640 say

01:12:20.320 that

01:12:20.640 the

01:12:20.760 vaccines

01:12:21.120 are

01:12:21.300 safe

01:12:21.640 and

01:12:21.780 that

01:12:22.000 they're

01:12:22.460 there

01:12:22.620 to

01:12:22.760 protect

01:12:23.060 women

01:12:23.380 and

01:12:23.640 their

01:12:23.780 newborn

01:12:23.980 babies

01:12:24.340 from

01:12:24.500 tetanus

01:12:24.840 so

01:12:25.660 I mean

01:12:25.960 look

01:12:26.380 we're

01:12:26.540 out

01:12:26.720 on

01:12:26.900 a

01:12:27.120 thin

01:12:27.460 read

01:12:27.780 talking

01:12:28.140 about

01:12:28.440 the

01:12:29.020 intentional

01:12:29.420 sterilization

01:12:30.120 of

01:12:30.480 women

01:12:30.700 in

01:12:31.220 Africa

01:12:31.540 without

01:12:31.920 their

01:12:32.140 consent

01:12:32.620 or

01:12:32.740 knowledge

01:12:32.980 the

01:12:33.420 evidence

01:12:33.920 is

01:12:34.280 very

01:12:34.800 well

01:12:35.380 documented

01:12:36.020 you're

01:12:36.500 suggesting

01:12:36.840 there

01:12:37.000 was

01:12:37.100 an

01:12:37.200 intention

01:12:37.520 to

01:12:37.740 sterilize

01:12:38.160 women

01:12:38.380 without

01:12:38.620 their

01:12:38.820 consent

01:12:39.140 they

01:12:39.880 spent

01:12:40.140 20

01:12:40.580 years

01:12:41.140 studying

01:12:42.060 the

01:12:42.980 inclusion

01:12:43.540 of

01:12:43.740 HGH

01:12:44.300 and

01:12:44.840 tetanus

01:12:45.200 vaccines

01:12:45.660 as a

01:12:45.920 way

01:12:46.100 to

01:12:46.260 sterilize

01:12:46.820 women

01:12:47.160 then

01:12:48.420 they

01:12:48.660 included

01:12:49.120 HGH

01:12:49.680 in a

01:12:50.420 tetanus

01:12:50.760 vaccine

01:12:51.280 program

01:12:51.700 that they

01:12:52.100 gave to

01:12:52.440 a million

01:12:52.780 women

01:12:53.160 without

01:12:53.540 telling

01:12:53.980 oh

01:12:54.740 you know

01:12:55.280 you

01:12:55.680 can

01:12:55.980 connect

01:12:56.480 whatever

01:12:56.920 dots

01:12:57.360 you need

01:12:57.780 to

01:12:57.940 or not

01:12:58.360 let's

01:12:59.460 move

01:12:59.640 forward

01:12:59.900 um

01:13:00.900 you're

01:13:01.740 one of

01:13:02.460 your

01:13:02.560 principal

01:13:02.860 beefs

01:13:03.220 against

01:13:03.440 Fauci

01:13:03.820 is

01:13:04.480 the way

01:13:04.840 he

01:13:04.980 handled

01:13:05.360 the

01:13:05.720 AIDS

01:13:05.920 epidemic

01:13:06.320 which

01:13:06.680 is

01:13:06.800 something

01:13:06.980 he's

01:13:07.200 been

01:13:07.400 universally

01:13:07.960 lauded

01:13:08.880 for

01:13:09.200 and

01:13:10.360 we've

01:13:11.200 had

01:13:11.340 folks

01:13:11.740 come on

01:13:12.020 the

01:13:12.140 show

01:13:12.320 and

01:13:12.460 raise

01:13:12.680 issues

01:13:12.960 before

01:13:13.400 about

01:13:14.400 how

01:13:15.060 he

01:13:15.380 handled

01:13:16.160 in

01:13:16.360 particular

01:13:16.740 the

01:13:16.960 drug

01:13:17.200 AZT

01:13:17.900 and

01:13:18.720 draw

01:13:19.560 parallels

01:13:20.260 between

01:13:20.840 his

01:13:22.340 fealty

01:13:23.720 to that

01:13:24.400 drug

01:13:24.980 above

01:13:25.440 all

01:13:26.220 other

01:13:26.680 treatments

01:13:27.300 back

01:13:28.140 in the

01:13:28.380 80s

01:13:28.780 when

01:13:29.380 treating

01:13:29.720 HIV

01:13:30.460 and

01:13:31.500 his

01:13:31.700 fealty

01:13:32.120 to

01:13:32.360 the

01:13:32.500 COVID

01:13:32.720 vaccine

01:13:33.280 at

01:13:33.840 the

01:13:33.960 expense

01:13:34.260 of

01:13:34.440 all

01:13:34.780 other

01:13:35.100 treatments

01:13:35.540 in

01:13:35.840 the

01:13:35.940 past

01:13:36.220 two

01:13:36.460 years

01:13:36.800 so

01:13:37.540 what

01:13:37.860 does

01:13:38.000 that

01:13:38.700 tell

01:13:39.040 us

01:13:39.320 about

01:13:39.760 Dr.

01:13:40.560 Anthony

01:13:40.800 Fauci

01:13:42.140 well

01:13:45.140 again

01:13:45.920 I think

01:13:46.440 it

01:13:46.700 speaks

01:13:47.420 for

01:13:47.660 itself

01:13:48.100 you know

01:13:48.560 AZT

01:13:49.360 was

01:13:49.620 horrendously

01:13:50.220 toxic

01:13:50.720 it was

01:13:51.200 regarded

01:13:51.900 it was

01:13:52.720 developed

01:13:53.140 originally

01:13:53.960 by the

01:13:54.440 National

01:13:54.760 Cancer

01:13:55.220 Institute

01:13:55.740 as a

01:13:57.860 chemotherapy

01:13:58.220 drug

01:13:58.900 and it

01:13:59.360 was regarded

01:14:00.160 it killed

01:14:00.800 all the

01:14:01.480 rats

01:14:01.820 when they

01:14:02.200 gave it

01:14:02.480 to them

01:14:02.960 so

01:14:03.180 you know

01:14:03.720 chemotherapy

01:14:04.180 drugs

01:14:04.860 will

01:14:05.220 kill

01:14:05.540 you

01:14:05.740 virtually

01:14:06.640 100%

01:14:07.320 of them

01:14:07.580 are going

01:14:07.920 to kill

01:14:08.220 you

01:14:08.380 they're

01:14:08.600 designed

01:14:09.100 to kill

01:14:09.660 human

01:14:10.940 cellular

01:14:11.380 tissue

01:14:11.840 the hope

01:14:12.660 is

01:14:13.000 it will

01:14:14.640 kill

01:14:14.860 the tumor

01:14:15.340 tissue

01:14:16.120 before

01:14:16.860 they

01:14:17.060 kill

01:14:17.240 the

01:14:17.400 rest

01:14:17.680 of

01:14:17.760 you

01:14:17.880 and

01:14:18.980 so

01:14:19.200 when

01:14:19.380 you

01:14:19.500 give

01:14:19.740 somebody

01:14:20.060 a

01:14:20.240 chemotherapy

01:14:20.680 drug

01:14:21.120 it's

01:14:21.360 only

01:14:21.560 given

01:14:21.840 for a

01:14:22.280 couple

01:14:22.480 of

01:14:22.660 weeks

01:14:23.060 and

01:14:23.720 then

01:14:23.960 you

01:14:24.240 know

01:14:24.360 they

01:14:24.680 look

01:14:24.980 at

01:14:25.080 what's

01:14:25.300 happened

01:14:25.520 to

01:14:25.640 the

01:14:25.760 tumor

01:14:26.040 and

01:14:27.180 what's

01:14:27.420 happening

01:14:27.700 to

01:14:27.920 you

01:14:28.240 but

01:14:29.000 this

01:14:30.640 drug

01:14:31.060 was

01:14:31.340 regarded

01:14:31.920 as

01:14:32.300 so

01:14:32.760 horrendously

01:14:33.500 toxic

01:14:34.020 that

01:14:35.780 they threw

01:14:37.840 it on

01:14:38.060 the junk

01:14:38.380 pile

01:14:38.660 and

01:14:39.380 they

01:14:39.500 didn't

01:14:39.620 even

01:14:39.820 patent

01:14:40.220 it

01:14:40.520 and

01:14:41.320 then

01:14:41.620 you

01:14:41.880 know

01:14:41.980 when

01:14:42.160 AIDS

01:14:42.620 came

01:14:42.940 along

01:14:43.300 of course

01:14:43.720 what they

01:14:44.180 do

01:14:44.480 when they

01:14:44.840 find a

01:14:45.260 new

01:14:45.380 virus

01:14:45.920 is

01:14:47.560 they

01:14:47.740 take

01:14:47.980 all

01:14:48.380 of

01:14:48.540 these

01:14:48.720 different

01:14:49.020 compounds

01:14:49.680 and

01:14:50.260 they

01:14:50.420 have

01:14:50.620 petri

01:14:50.960 dishes

01:14:51.300 full

01:14:51.760 of

01:14:51.900 the

01:14:52.000 virus

01:14:52.480 of

01:14:53.100 live

01:14:53.440 colonies

01:14:53.860 and

01:14:54.400 then

01:14:54.560 they

01:14:54.800 put

01:14:55.120 the

01:14:55.460 you

01:14:56.060 know

01:14:56.140 they

01:14:56.340 put

01:14:56.760 a

01:14:56.880 dropper

01:14:57.380 of

01:14:57.900 toxic

01:14:58.280 compound

01:14:58.740 onto

01:14:59.540 the

01:14:59.880 petri

01:15:00.160 dish

01:15:00.460 and

01:15:00.640 see

01:15:00.760 if

01:15:00.880 it

01:15:00.980 kills

01:15:01.220 the

01:15:01.380 virus

01:15:01.680 if

01:15:02.880 kills

01:15:03.240 the

01:15:03.380 virus

01:15:03.640 they

01:15:03.840 now

01:15:04.120 have

01:15:04.300 an

01:15:04.400 antiviral

01:15:04.900 drug

01:15:05.260 but

01:15:05.740 they

01:15:06.240 also

01:15:06.540 have

01:15:06.700 to

01:15:06.800 find

01:15:07.060 out

01:15:07.300 whether

01:15:07.560 it

01:15:07.800 kills

01:15:08.160 the

01:15:08.780 human

01:15:09.080 and

01:15:10.700 you

01:15:11.080 know

01:15:11.280 and

01:15:12.020 with

01:15:13.160 the

01:15:13.320 AZT

01:15:13.980 or

01:15:14.320 the

01:15:14.440 rats

01:15:14.860 the

01:15:15.320 AZT

01:15:16.000 was

01:15:16.480 again

01:15:17.040 it

01:15:17.200 was

01:15:17.340 regarded

01:15:17.740 as

01:15:18.000 so

01:15:18.200 too

01:15:18.760 toxic

01:15:19.220 used

01:15:19.740 for a

01:15:20.120 two

01:15:20.280 week

01:15:20.540 course

01:15:20.940 for

01:15:21.280 chemotherapy

01:15:21.840 and

01:15:23.760 GlaxoSmithKline

01:15:25.600 found that

01:15:26.120 it did

01:15:26.520 kill

01:15:26.820 HIV

01:15:27.300 virus

01:15:27.900 and

01:15:29.300 so

01:15:29.580 they

01:15:30.020 you

01:15:30.580 know

01:15:30.720 spearheaded

01:15:31.480 this

01:15:31.840 after

01:15:32.380 they

01:15:32.600 were

01:15:32.740 called

01:15:32.980 boroughs

01:15:33.340 welcome

01:15:33.700 at

01:15:33.880 that

01:15:34.080 time

01:15:34.400 they

01:15:36.080 spearheaded

01:15:36.600 this

01:15:36.940 effort

01:15:37.400 to

01:15:38.040 get

01:15:39.020 it

01:15:39.160 approved

01:15:39.600 and

01:15:40.120 Tony

01:15:40.760 Fauci

01:15:41.360 because

01:15:42.280 he

01:15:43.440 did

01:15:43.700 not

01:15:43.980 know

01:15:44.220 at

01:15:44.460 that

01:15:44.720 point

01:15:45.060 NIAID

01:15:45.980 had

01:15:46.280 never

01:15:46.780 developed

01:15:47.200 the

01:15:47.380 drug

01:15:47.700 it

01:15:48.440 won

01:15:48.940 this

01:15:49.380 it

01:15:50.300 won

01:15:50.680 jurisdiction

01:15:51.320 over

01:15:52.120 AIDS

01:15:52.660 originally

01:15:55.300 the

01:15:55.560 National

01:15:56.200 Cancer

01:15:56.640 Institute

01:15:57.040 which

01:15:57.340 knows

01:15:57.720 how

01:15:57.920 to

01:15:58.000 develop

01:15:58.260 drugs

01:15:58.540 that's

01:15:58.820 what

01:15:58.940 they

01:15:59.100 do

01:15:59.340 they

01:16:00.820 inherited

01:16:01.380 AIDS

01:16:02.560 because

01:16:03.080 the

01:16:03.380 initial

01:16:04.140 signal

01:16:04.540 for

01:16:04.740 AIDS

01:16:05.020 was

01:16:05.220 sarcoma

01:16:06.560 which

01:16:06.880 is a

01:16:07.140 cancer

01:16:07.460 so

01:16:07.760 went to

01:16:08.040 the

01:16:08.120 National

01:16:08.380 Cancer

01:16:08.780 Institute

01:16:09.120 but then

01:16:09.600 when

01:16:09.760 Luke

01:16:10.020 Montanier said

01:16:10.860 wait a

01:16:11.360 minute

01:16:11.520 we found

01:16:13.240 HIV

01:16:13.740 viruses

01:16:14.380 and

01:16:14.900 47%

01:16:15.880 of the

01:16:16.200 men

01:16:16.440 who have

01:16:16.880 AIDS

01:16:17.360 maybe

01:16:17.800 the

01:16:18.020 virus

01:16:18.380 is

01:16:18.600 causing

01:16:18.980 the

01:16:19.220 AIDS

01:16:19.440 Tony

01:16:20.860 Fauci

01:16:21.280 used

01:16:21.920 that

01:16:22.320 to

01:16:23.180 say

01:16:23.840 this

01:16:24.520 is

01:16:25.080 an

01:16:25.260 infectious

01:16:25.640 disease

01:16:26.200 it's

01:16:26.880 not

01:16:27.180 a

01:16:27.540 it's

01:16:28.320 not

01:16:28.540 been

01:16:28.740 caused

01:16:28.980 by

01:16:29.200 toxics

01:16:29.740 it's

01:16:30.120 an

01:16:30.240 infectious

01:16:30.580 disease

01:16:31.080 and

01:16:31.340 therefore

01:16:31.640 it should

01:16:32.060 come to

01:16:32.580 NIAID

01:16:33.460 National

01:16:34.120 Institute

01:16:34.580 for

01:16:34.820 Allergic

01:16:35.200 Infectious

01:16:35.720 Diseases

01:16:36.220 he didn't

01:16:38.040 unlike

01:16:38.580 National

01:16:39.020 Cancer

01:16:39.400 Institute

01:16:39.760 he did

01:16:40.300 not

01:16:40.520 know

01:16:40.820 how

01:16:40.960 to

01:16:41.080 develop

01:16:41.400 a

01:16:41.560 drug

01:16:41.760 so

01:16:42.000 it

01:16:42.480 made

01:16:42.880 him

01:16:43.060 very

01:16:43.360 dependent

01:16:43.760 on

01:16:44.000 GlaxoSmithKline

01:16:45.060 and that

01:16:46.080 really

01:16:46.420 was the

01:16:46.840 beginning

01:16:47.160 of his

01:16:47.720 permanent

01:16:48.180 association

01:16:48.800 with drug

01:16:49.480 companies

01:16:49.940 he

01:16:51.120 needed

01:16:52.140 to develop

01:16:52.580 a drug

01:16:52.960 fast

01:16:53.580 GlaxoSmithKline

01:16:55.520 he put

01:16:56.020 GlaxoSmithKline

01:16:57.180 employees

01:16:59.500 and

01:17:00.300 loyalists

01:17:02.740 on all

01:17:03.540 of the

01:17:03.800 committees

01:17:04.360 that approved

01:17:05.920 new drugs

01:17:06.720 or experimental

01:17:07.400 drugs

01:17:07.840 and they

01:17:08.260 kept

01:17:08.540 everything

01:17:09.040 out

01:17:09.440 of the

01:17:10.100 competition

01:17:10.560 except for

01:17:11.180 their

01:17:11.440 drug

01:17:11.840 and then

01:17:12.560 they rushed

01:17:13.180 it through

01:17:13.620 and Tony

01:17:14.100 Fauci helped

01:17:14.880 them rush

01:17:15.280 it through

01:17:15.640 they used

01:17:17.640 a number

01:17:18.620 of fraudulent

01:17:19.500 tricks

01:17:19.980 to get

01:17:20.560 the drug

01:17:20.900 approved

01:17:21.300 the drug

01:17:21.960 was killing

01:17:22.440 AZT

01:17:23.020 was killing

01:17:23.520 everybody

01:17:24.020 who took

01:17:24.740 it

01:17:24.920 in the

01:17:25.520 study

01:17:25.840 group

01:17:26.160 and what

01:17:27.640 Fauci

01:17:28.140 did

01:17:28.580 and

01:17:28.820 Burroughs

01:17:29.240 Welcome

01:17:29.580 did

01:17:29.940 is they

01:17:31.440 started

01:17:32.160 giving

01:17:32.660 the people

01:17:33.360 they were

01:17:33.820 giving AZT

01:17:34.740 they started

01:17:35.340 giving them

01:17:35.780 blood transfusions

01:17:36.720 to keep

01:17:37.200 them alive

01:17:37.760 and when

01:17:39.560 you give

01:17:39.840 somebody a

01:17:40.280 blood transfusion

01:17:41.100 it makes

01:17:41.540 them

01:17:41.720 when their

01:17:42.180 body is

01:17:43.620 filled with

01:17:43.980 toxic chemicals

01:17:44.760 it makes

01:17:45.300 them healthier

01:17:46.120 and longer

01:17:46.680 lived

01:17:47.080 and the

01:17:47.420 only reason

01:17:48.160 those people

01:17:48.880 survived

01:17:49.740 a six

01:17:50.980 week drug

01:17:51.580 trial

01:17:52.060 was because

01:17:53.900 they were

01:17:54.340 getting these

01:17:55.040 transfusions

01:17:55.800 and then

01:17:57.520 he got

01:17:58.020 the drug

01:17:58.400 approved

01:17:59.000 on very

01:18:01.580 very little

01:18:02.180 evidence

01:18:02.720 and clear

01:18:06.020 clear safety

01:18:06.860 signals

01:18:07.500 and that

01:18:08.100 drug

01:18:08.540 according to

01:18:10.260 critics

01:18:10.840 killed

01:18:11.180 330,000

01:18:12.560 people

01:18:12.980 over the

01:18:13.400 next 10

01:18:13.900 years

01:18:14.320 so

01:18:15.100 by the

01:18:15.880 time we

01:18:16.300 get to

01:18:17.020 more present

01:18:18.520 day

01:18:18.760 Anthony Fauci

01:18:19.480 you write

01:18:19.680 in the book

01:18:19.960 that he

01:18:20.340 kind of

01:18:20.780 went

01:18:20.960 not underground

01:18:22.340 but he

01:18:22.820 kind of

01:18:23.060 got quieter

01:18:23.760 and left

01:18:24.560 the national

01:18:25.480 scene for

01:18:26.000 a number

01:18:26.260 of years

01:18:26.600 and was

01:18:26.960 running

01:18:27.340 this

01:18:28.200 organization

01:18:28.720 and became

01:18:29.180 a king

01:18:29.560 maker

01:18:29.900 and controlled

01:18:30.900 a bunch

01:18:31.240 of money

01:18:31.700 and you

01:18:32.800 know there

01:18:32.980 was utter

01:18:33.360 fealty to

01:18:33.880 him as

01:18:34.160 there still

01:18:34.500 is in

01:18:34.860 this public

01:18:35.400 health

01:18:35.720 industry

01:18:36.280 so then

01:18:38.120 you write

01:18:39.120 that there

01:18:39.480 you know we

01:18:39.840 had a couple

01:18:40.240 of not

01:18:41.780 real pandemics

01:18:42.980 but we had

01:18:43.460 other problems

01:18:43.980 with you

01:18:44.720 know bird

01:18:45.020 flu and

01:18:45.560 some other

01:18:45.860 things and

01:18:47.020 earlier SARS

01:18:48.880 issues and

01:18:50.280 that he

01:18:51.080 sees

01:18:51.480 opportunity

01:18:51.940 when those

01:18:53.000 things happen

01:18:53.500 he sees

01:18:53.840 an opportunity

01:18:54.340 to what

01:18:55.480 because you

01:18:56.660 argue that

01:18:57.380 he sort

01:18:57.740 of saw

01:18:58.360 the ultimate

01:18:58.780 opportunity

01:18:59.260 with COVID-19

01:19:00.080 oh

01:19:01.960 NIAID

01:19:05.080 you know

01:19:06.140 what one

01:19:06.700 of the things

01:19:07.100 I talk

01:19:07.480 about is

01:19:07.840 the history

01:19:08.580 of both

01:19:09.000 CDC and

01:19:09.740 NIAID

01:19:10.660 by the

01:19:11.880 middle of

01:19:13.020 the 20th

01:19:13.900 century

01:19:14.320 epidemic

01:19:16.700 infectious

01:19:17.460 diseases

01:19:18.100 debt

01:19:18.720 mortality

01:19:19.460 from

01:19:19.860 infectious

01:19:20.340 disease

01:19:20.780 essentially

01:19:21.420 disappeared

01:19:22.060 and it

01:19:23.720 disappeared

01:19:24.220 not because

01:19:27.000 of vaccines

01:19:27.840 as it's

01:19:28.220 now claimed

01:19:28.880 it disappeared

01:19:30.800 because of

01:19:31.680 primarily

01:19:32.120 because of

01:19:32.720 nutrition

01:19:33.180 better

01:19:33.540 nutrition

01:19:34.140 better

01:19:35.140 sanitation

01:19:36.200 chlorinated

01:19:36.820 water

01:19:37.180 electric

01:19:37.600 refrigerators

01:19:38.480 road

01:19:38.940 systems

01:19:39.620 reductions

01:19:40.500 and

01:19:40.700 overcrowding

01:19:41.340 and

01:19:42.840 the reason

01:19:44.920 I say

01:19:45.420 this

01:19:45.760 is not

01:19:47.100 that you

01:19:47.980 should believe

01:19:48.500 me

01:19:48.780 but the

01:19:49.540 CDC

01:19:50.000 studied

01:19:50.600 this

01:19:50.880 question

01:19:51.300 in the

01:19:52.020 year

01:19:52.200 2000

01:19:52.820 along

01:19:54.680 with

01:19:55.140 Johnson

01:19:56.780 Hopkins

01:19:57.160 and they

01:19:57.920 looked at

01:19:59.060 the question

01:19:59.500 at the

01:19:59.780 claim

01:20:00.240 that vaccines

01:20:01.060 had something

01:20:01.680 to do

01:20:02.160 with the

01:20:02.620 reduction

01:20:03.100 this profound

01:20:04.040 reduction

01:20:04.940 and 80%

01:20:05.640 reduction

01:20:06.120 in mortalities

01:20:07.520 from infectious

01:20:09.480 diseases

01:20:10.080 since the

01:20:10.560 beginning of

01:20:11.040 the 20th

01:20:11.560 century

01:20:11.940 and the

01:20:13.500 scientists

01:20:13.860 from CDC

01:20:14.580 and you

01:20:15.500 can read

01:20:15.880 this study

01:20:16.420 and Johnson

01:20:17.460 Hopkins

01:20:17.800 you can read

01:20:18.380 this study

01:20:19.000 in pediatrics

01:20:20.360 and it's

01:20:21.280 called

01:20:21.620 Geyer

01:20:22.280 G-Y-E-R

01:20:23.640 2000

01:20:24.460 Geyer et al

01:20:25.600 2000

01:20:26.120 what they

01:20:27.860 concluded

01:20:28.320 is that

01:20:28.800 vaccines

01:20:29.380 had

01:20:29.620 practically

01:20:30.320 had

01:20:30.700 virtually

01:20:31.080 nothing

01:20:31.480 to do

01:20:31.960 with this

01:20:32.360 profound

01:20:32.800 reduction

01:20:33.300 in mortality

01:20:34.000 from

01:20:34.520 infectious

01:20:35.700 diseases

01:20:36.320 the disease

01:20:37.060 were disappearing

01:20:38.020 not the

01:20:39.500 disease

01:20:39.860 themselves

01:20:40.280 people were

01:20:40.740 still getting

01:20:41.220 measles

01:20:41.520 they just

01:20:41.860 weren't

01:20:42.060 dying

01:20:42.380 from it

01:20:43.000 but

01:20:44.540 the

01:20:45.180 mortalities

01:20:45.780 had

01:20:46.000 disappeared

01:20:46.440 because of

01:20:47.360 these

01:20:47.700 engineering

01:20:48.340 improvements

01:20:48.940 and

01:20:50.280 what was

01:20:51.580 happening

01:20:51.960 at CDC

01:20:52.680 and NIAID

01:20:53.920 is they

01:20:54.480 were losing

01:20:54.920 relevance

01:20:55.400 because very

01:20:56.480 small numbers

01:20:57.420 of Americans

01:20:57.980 were dying

01:20:58.560 from infectious

01:20:59.160 disease

01:20:59.700 and the

01:21:01.340 Reagan

01:21:01.600 administration

01:21:02.160 and its

01:21:02.720 budget

01:21:03.000 director

01:21:03.540 in 1982

01:21:04.760 David Stockman

01:21:06.160 were actually

01:21:08.580 publicly saying

01:21:09.640 that we

01:21:10.220 should abolish

01:21:11.100 CDC

01:21:11.680 and

01:21:13.080 you know

01:21:14.440 as I

01:21:14.740 point out

01:21:15.340 the book

01:21:15.740 there was

01:21:16.040 memos

01:21:16.560 going around

01:21:17.300 saying we

01:21:18.080 need to

01:21:18.600 figure out

01:21:19.240 infectious

01:21:19.780 diseases

01:21:20.300 to make

01:21:20.720 ourselves

01:21:21.120 relevant

01:21:21.580 again

01:21:21.980 and so

01:21:23.780 you know

01:21:24.460 what I

01:21:25.180 show

01:21:25.700 is that

01:21:26.320 there's a

01:21:26.800 series

01:21:27.220 of fake

01:21:28.440 pandemics

01:21:29.180 that were

01:21:29.620 done in

01:21:30.020 1976

01:21:30.940 right after

01:21:32.000 Tony Fauci

01:21:32.720 came to

01:21:33.140 NIAID

01:21:33.940 there was

01:21:35.920 a swine

01:21:37.440 flu epidemic

01:21:38.080 another

01:21:38.600 a bird

01:21:39.260 flu epidemic

01:21:39.860 that was

01:21:40.580 fake

01:21:40.940 in 2005

01:21:42.340 I think

01:21:42.820 only one

01:21:43.380 person

01:21:43.740 died

01:21:44.180 there was

01:21:46.040 a fake

01:21:46.620 swine

01:21:47.300 flu epidemic

01:21:48.140 in 2009

01:21:49.000 each time

01:21:49.980 they gave

01:21:52.120 the vaccine

01:21:52.580 companies

01:21:53.180 immunity

01:21:53.620 from liability

01:21:54.420 and they

01:21:55.160 sold

01:21:55.600 you know

01:21:56.360 tens of

01:21:57.260 millions

01:21:57.520 of dollars

01:21:58.140 worth of

01:21:58.540 vaccine

01:21:58.960 unnecessary

01:21:59.600 vaccines

01:22:00.320 many of

01:22:00.920 them caused

01:22:01.500 profound

01:22:02.040 impacts

01:22:03.080 and then

01:22:03.500 the Zika

01:22:03.940 pandemic

01:22:05.440 was a

01:22:06.100 fake

01:22:06.320 pandemic

01:22:06.780 there was

01:22:07.240 you know

01:22:07.660 Tony Fauci

01:22:08.520 who was

01:22:08.860 claiming

01:22:09.300 that Zika

01:22:11.020 called

01:22:11.440 cause

01:22:12.140 microcephaly

01:22:12.980 which is

01:22:13.560 a smaller

01:22:14.600 head

01:22:15.100 any alarm

01:22:15.980 to cause

01:22:16.500 panic

01:22:16.940 around the

01:22:17.440 country

01:22:17.820 people

01:22:18.300 were terrified

01:22:18.860 they were

01:22:19.320 advising women

01:22:20.100 not to

01:22:20.460 get pregnant

01:22:21.160 Zika was

01:22:22.880 coming to

01:22:23.340 America

01:22:23.820 somebody from

01:22:25.540 his agency

01:22:26.240 actually made

01:22:26.960 a March

01:22:27.400 Madness

01:22:28.160 chart

01:22:29.580 of all

01:22:30.460 the

01:22:30.780 phony

01:22:32.560 pandemics

01:22:33.320 that he

01:22:33.800 has been

01:22:34.400 drumming

01:22:36.480 up over

01:22:36.940 the years

01:22:37.520 and

01:22:37.960 the triumph

01:22:39.920 on his

01:22:40.760 COVID

01:22:41.140 on that

01:22:41.840 then I

01:22:42.260 reprint

01:22:42.900 that in

01:22:43.240 my book

01:22:43.800 and his

01:22:44.960 signature is

01:22:45.680 at the

01:22:45.900 bottom of

01:22:46.280 the page

01:22:46.720 oh you

01:22:48.320 know that

01:22:48.620 was

01:22:49.040 it's a

01:22:50.680 it's something

01:22:52.040 that they've

01:22:52.500 done again

01:22:53.020 and again

01:22:53.400 and again

01:22:53.800 over time

01:22:54.620 that it

01:22:54.900 makes

01:22:55.360 that agency

01:22:58.000 relevant

01:22:58.500 okay so

01:23:00.940 you you

01:23:02.140 don't

01:23:02.560 well you

01:23:03.540 tell me

01:23:03.900 is was

01:23:04.660 the COVID

01:23:05.060 19

01:23:05.520 pandemic

01:23:06.020 fake

01:23:06.480 what do

01:23:08.460 you mean

01:23:08.720 fake

01:23:09.000 it was

01:23:09.400 there were

01:23:09.720 people dying

01:23:10.360 of COVID

01:23:10.800 19

01:23:11.280 all over

01:23:11.780 the world

01:23:12.140 it was

01:23:12.500 a pandemic

01:23:13.100 it was

01:23:13.680 a genuine

01:23:14.120 pandemic

01:23:14.800 okay that's

01:23:15.600 what I'm

01:23:15.820 going for

01:23:16.200 because you

01:23:16.580 say these

01:23:16.920 other ones

01:23:17.240 were made

01:23:17.580 up and

01:23:17.900 this one

01:23:18.280 you know

01:23:18.680 we've

01:23:18.860 got

01:23:19.060 upwards

01:23:20.240 of five

01:23:21.140 six million

01:23:21.680 people dead

01:23:22.220 so you

01:23:23.060 you agree

01:23:23.520 this one

01:23:23.980 was real

01:23:24.660 and we

01:23:25.440 needed

01:23:25.660 somebody

01:23:25.980 to manage

01:23:26.460 it

01:23:26.760 but the

01:23:27.840 question is

01:23:28.260 whether he

01:23:28.600 was the

01:23:28.840 man for

01:23:29.100 the job

01:23:29.500 we'll

01:23:31.440 continue our

01:23:31.900 discussion with

01:23:32.420 Robert next

01:23:32.980 but first

01:23:33.740 wanted to

01:23:34.300 let you

01:23:34.500 know that

01:23:34.740 we did

01:23:35.040 reach out

01:23:35.420 to the

01:23:35.680 Bill Gates

01:23:36.020 foundation

01:23:36.500 regarding the

01:23:37.180 claim that

01:23:37.680 their vaccine

01:23:38.740 efforts led

01:23:39.600 to women

01:23:40.060 being chemically

01:23:41.400 castrated

01:23:42.280 their response

01:23:43.400 to us was

01:23:44.360 quote

01:23:45.080 these claims

01:23:45.940 are false

01:23:46.580 end quote

01:23:47.740 we'll be right

01:23:48.780 back

01:23:49.020 next up in the

01:23:54.300 discussion we

01:23:54.800 talk about how

01:23:55.580 Dr. Fauci and

01:23:56.380 other public

01:23:56.920 health leaders

01:23:57.400 have misled

01:23:58.220 the public

01:23:58.660 about the

01:23:59.180 origins of

01:23:59.760 this pandemic

01:24:00.320 you will hear

01:24:01.360 Robert reference

01:24:02.080 Dr. Ralph

01:24:02.840 Barrack in his

01:24:03.880 lab at UNC

01:24:04.620 Chapel Hill

01:24:05.220 he says

01:24:05.960 Barrack had an

01:24:06.560 issue with

01:24:06.900 creatures escaping

01:24:07.800 from his lab

01:24:08.580 and people knew

01:24:09.100 it and according

01:24:10.240 to a 2020

01:24:10.820 ProPublica

01:24:11.840 article that's

01:24:12.500 true

01:24:12.820 Kennedy also

01:24:13.940 claims here

01:24:14.380 that the

01:24:14.700 United States

01:24:15.440 Agency for

01:24:16.320 International

01:24:17.080 Development

01:24:17.900 or USAID

01:24:19.180 is actually a

01:24:20.740 front for the

01:24:21.280 CIA according

01:24:22.500 to the New York

01:24:22.980 Times that's

01:24:24.260 true the

01:24:24.860 organization was

01:24:25.600 quote at

01:24:26.000 times used

01:24:26.800 as a CIA

01:24:27.860 front in

01:24:28.600 the past

01:24:29.160 and Dr.

01:24:30.360 Fauci once

01:24:30.860 getting a

01:24:31.200 68% pay

01:24:32.240 raise you'll

01:24:32.720 hear that

01:24:33.080 too that's

01:24:34.040 correct as

01:24:34.600 well but

01:24:36.100 it was for

01:24:37.340 biodefense

01:24:38.880 and not for

01:24:40.100 bioweapons work

01:24:41.560 as Kennedy is

01:24:42.500 about to claim

01:24:43.020 here and

01:24:43.880 those two

01:24:44.400 things according

01:24:45.020 to our

01:24:45.380 experts are

01:24:46.220 not one

01:24:47.420 in the

01:24:47.640 same all

01:24:48.380 right back

01:24:48.700 to the

01:24:48.880 conversation

01:24:49.300 I have

01:24:50.840 another book

01:24:51.480 about to

01:24:51.920 come out

01:24:52.380 called

01:24:53.540 Wuhan

01:24:53.960 cover-up

01:24:54.620 and it

01:24:56.100 shows you

01:24:57.460 know the

01:24:58.000 it shows

01:24:59.740 that

01:25:00.140 Dr.

01:25:02.040 Fauci along

01:25:03.060 with other

01:25:03.840 people with

01:25:04.420 DITRA with

01:25:05.140 the Defense

01:25:05.680 Threat

01:25:05.980 Production

01:25:06.420 Agency

01:25:06.940 with the

01:25:07.960 CIA through

01:25:08.820 USAID was

01:25:10.100 pumping

01:25:10.500 hundreds of

01:25:11.260 millions of

01:25:11.700 dollars into

01:25:12.440 the enterprise

01:25:13.000 developed

01:25:15.260 pandemic

01:25:17.200 superbugs

01:25:18.140 that could

01:25:18.520 cause

01:25:18.980 pandemics

01:25:19.700 and they

01:25:20.480 were keeping

01:25:21.160 them in

01:25:22.000 areas that

01:25:23.660 they all

01:25:24.520 knew they

01:25:25.640 were certain

01:25:26.560 to escape

01:25:27.240 so you

01:25:29.120 know and

01:25:29.540 there's memo

01:25:30.240 after memo

01:25:31.080 after memo

01:25:31.960 that says

01:25:32.720 that Wuhan

01:25:33.280 lab is

01:25:34.380 you know

01:25:35.020 is a place

01:25:36.880 where first

01:25:38.460 of all the

01:25:38.800 bugs were

01:25:39.240 escaping from

01:25:39.880 all their

01:25:40.260 labs at

01:25:41.140 Galveston

01:25:41.840 at North

01:25:42.300 Carolina I

01:25:42.860 think his

01:25:44.500 biggest fundee

01:25:45.800 Ralph Barrett

01:25:46.560 had eight

01:25:47.340 or ten

01:25:47.680 escapes and

01:25:49.420 out she

01:25:50.160 gave him

01:25:50.560 147

01:25:51.720 grants

01:25:52.320 separate

01:25:52.640 grants

01:25:53.000 tens of

01:25:53.680 millions of

01:25:54.120 hundreds of

01:25:54.680 millions of

01:25:55.100 dollars

01:25:55.420 why right

01:25:56.920 why is he

01:25:57.300 doing that

01:25:57.700 when this

01:25:58.000 guy can't

01:25:58.680 keep the

01:25:59.120 bugs

01:25:59.320 contained

01:25:59.600 I'll tell

01:26:00.940 you why

01:26:01.240 he was

01:26:01.720 I mean I

01:26:02.400 I can

01:26:02.860 explain

01:26:03.540 again I

01:26:05.480 can explain

01:26:06.020 the chronology

01:26:06.840 and I can

01:26:07.460 explain some

01:26:08.460 of the

01:26:08.800 possible

01:26:09.340 motivations

01:26:10.020 we had

01:26:10.720 signed

01:26:11.100 Nixon had

01:26:11.680 signed

01:26:11.980 the

01:26:12.160 biological

01:26:13.620 weapons

01:26:15.020 convention

01:26:15.560 in 1972

01:26:16.600 that made

01:26:17.300 it illegal

01:26:18.100 to handle

01:26:20.360 store

01:26:21.080 or develop

01:26:23.040 any kind

01:26:23.840 of biological

01:26:24.280 weapons

01:26:24.660 but there

01:26:25.100 was a

01:26:25.540 loophole

01:26:26.060 in it

01:26:26.440 and the

01:26:26.860 loophole

01:26:27.340 said if

01:26:28.340 it's a

01:26:28.720 dual use

01:26:29.880 research you

01:26:31.600 can do

01:26:31.860 that meaning

01:26:32.500 if it's

01:26:33.180 defensive

01:26:33.740 so a

01:26:35.580 lot of

01:26:35.840 the research

01:26:36.460 that you

01:26:36.980 use to

01:26:37.480 develop

01:26:37.760 bioweapons

01:26:38.420 is identical

01:26:39.300 to the

01:26:39.740 research that

01:26:40.580 you use to

01:26:41.260 develop a

01:26:41.700 vaccine

01:26:42.200 or it

01:26:43.420 can be

01:26:43.900 and so

01:26:45.600 the

01:26:45.780 Pentagon

01:26:46.080 wanted to

01:26:46.780 start doing

01:26:47.420 this kind

01:26:47.860 of research

01:26:48.440 but it

01:26:49.120 was

01:26:49.520 it was

01:26:50.620 worried that

01:26:51.680 the public

01:26:52.240 would not

01:26:52.920 believe that

01:26:53.820 the Pentagon

01:26:54.300 was doing

01:26:55.340 all of this

01:26:56.020 bioweapons

01:26:56.720 research in

01:26:57.940 order to

01:26:58.320 develop

01:26:58.620 vaccines

01:26:59.300 it just

01:26:59.780 didn't seem

01:27:00.300 plausible

01:27:00.820 so they

01:27:02.640 outsourced it

01:27:03.400 to Tony

01:27:03.760 Fauci

01:27:04.160 and they

01:27:04.800 gave him

01:27:05.480 a 68%

01:27:06.580 raise

01:27:07.260 which is

01:27:07.680 one of the

01:27:08.100 reasons

01:27:08.460 today

01:27:08.960 he is

01:27:09.720 the

01:27:09.860 highest

01:27:10.180 paid

01:27:10.660 person

01:27:11.320 in the

01:27:11.620 history

01:27:11.880 of the

01:27:12.100 federal

01:27:12.340 government

01:27:12.680 he makes

01:27:13.160 $434,000

01:27:14.580 a year

01:27:15.160 and the

01:27:17.340 president

01:27:17.640 only makes

01:27:18.120 $400,000

01:27:19.000 so he

01:27:19.440 gets more

01:27:19.920 than the

01:27:20.220 president

01:27:20.500 or the

01:27:20.840 vice

01:27:21.080 president

01:27:21.460 and a

01:27:22.860 lot of

01:27:23.220 that is

01:27:23.860 money that's

01:27:24.400 coming from

01:27:24.940 his military

01:27:25.840 bioweapons

01:27:27.420 function

01:27:27.900 they began

01:27:30.540 pumping

01:27:30.960 $1.7

01:27:31.840 billion

01:27:32.220 into he

01:27:33.040 already has

01:27:33.580 a $6.1

01:27:34.460 billion budget

01:27:35.420 on top

01:27:36.960 of that

01:27:37.280 they gave

01:27:37.680 him $1.7

01:27:38.820 billion

01:27:39.140 to begin

01:27:39.940 developing

01:27:40.580 bioweapons

01:27:41.400 that is

01:27:41.940 now at

01:27:42.380 $2.2

01:27:43.060 billion a

01:27:43.520 year

01:27:43.740 and he

01:27:44.760 then

01:27:45.020 distributes

01:27:45.700 that to

01:27:46.140 different

01:27:46.420 labs

01:27:46.920 around

01:27:47.900 the

01:27:48.880 country

01:27:49.280 and in

01:27:51.120 2014

01:27:51.980 three of

01:27:53.880 the bugs

01:27:54.340 escaped

01:27:55.000 three bugs

01:27:56.020 from US

01:27:56.680 labs

01:27:57.060 escaped

01:27:57.420 dangerous

01:27:58.080 blood

01:27:58.420 bugs

01:27:58.840 were found

01:27:59.980 in very

01:28:01.300 dangerous

01:28:01.980 places

01:28:02.640 including

01:28:03.080 smallpox

01:28:03.920 and

01:28:05.420 the

01:28:06.760 and

01:28:07.420 300

01:28:07.980 leading

01:28:08.920 bioweapons

01:28:09.700 experts

01:28:10.260 including

01:28:11.080 Mark

01:28:11.480 Lipsitch

01:28:11.900 of Harvard

01:28:12.540 and

01:28:13.280 Richard

01:28:14.480 Ebright

01:28:14.860 from

01:28:15.240 Rutgers

01:28:15.800 are kind

01:28:17.400 of the

01:28:17.640 leading

01:28:17.900 voice

01:28:18.340 in that

01:28:18.760 space

01:28:19.340 signed

01:28:20.640 a petition

01:28:21.180 300

01:28:21.840 people

01:28:22.440 to Obama

01:28:24.100 asking

01:28:24.940 Obama

01:28:25.420 to shut

01:28:26.040 down

01:28:26.500 Tony

01:28:27.060 Fauci's

01:28:27.900 experiments

01:28:28.840 because

01:28:29.940 he was

01:28:31.160 going

01:28:31.460 because they

01:28:32.140 were feared

01:28:32.740 that he

01:28:33.140 would release

01:28:33.680 a pandemic

01:28:34.260 and

01:28:36.340 Tony

01:28:37.460 and the

01:28:38.280 Obama

01:28:39.040 administration

01:28:39.700 issued a

01:28:40.860 cease and

01:28:41.300 desist

01:28:41.700 order to

01:28:42.260 Tony

01:28:42.520 Fauci

01:28:42.920 he defied

01:28:44.940 the order

01:28:45.380 and he

01:28:47.000 continued

01:28:47.560 doing

01:28:48.440 the

01:28:49.240 experiments

01:28:49.880 at Ralph

01:28:50.480 Barrack's

01:28:50.960 labs

01:28:51.220 which were

01:28:51.640 the worst

01:28:52.160 experiments

01:28:52.820 because he

01:28:54.600 was developing

01:28:55.280 he was

01:28:55.740 engineering

01:28:56.560 these gain

01:28:57.160 of function

01:28:57.640 bugs

01:28:58.100 in ways

01:28:59.140 nobody had

01:28:59.780 ever devised

01:29:00.460 before

01:29:00.820 but he

01:29:01.340 moved

01:29:01.620 a lot

01:29:02.000 of his

01:29:02.260 operations

01:29:02.960 to

01:29:03.540 Wuhan

01:29:04.040 where they

01:29:04.700 would be

01:29:05.000 out of sight

01:29:05.820 of the

01:29:06.100 White House

01:29:06.720 and he

01:29:08.620 laundered the

01:29:09.280 money through

01:29:09.940 this

01:29:10.420 zoologist

01:29:11.840 called

01:29:12.140 Peter

01:29:12.500 Daszak

01:29:13.320 our audience

01:29:14.420 knows him

01:29:14.840 but at the

01:29:17.180 same time

01:29:17.980 he was

01:29:19.760 giving millions

01:29:20.400 of dollars

01:29:20.980 every year

01:29:21.540 but the

01:29:22.740 big money

01:29:23.440 was coming

01:29:24.300 from USAID

01:29:26.060 which is

01:29:27.540 you know

01:29:28.040 a well-known

01:29:29.380 as a CIA

01:29:30.120 front group

01:29:30.980 and from

01:29:32.780 Deetra

01:29:33.280 the defense

01:29:34.020 production

01:29:34.740 agency

01:29:35.220 as well

01:29:35.860 as millions

01:29:36.380 of dollars

01:29:36.880 from

01:29:37.180 BARDA

01:29:37.640 and ARPA

01:29:39.200 which are

01:29:39.620 all connected

01:29:40.340 to the

01:29:40.660 US military

01:29:41.520 and they

01:29:41.960 were all

01:29:42.520 doing this

01:29:42.840 Just to

01:29:43.100 pause and

01:29:43.780 interject

01:29:44.080 that's backed

01:29:45.140 up by the

01:29:45.580 fact that

01:29:45.940 you know

01:29:46.200 thankfully

01:29:46.620 now we've

01:29:47.080 seen

01:29:47.340 thanks to

01:29:47.760 The Intercept

01:29:48.280 and some

01:29:48.680 other folks

01:29:49.140 who have

01:29:49.360 gotten

01:29:49.660 FOIA requests

01:29:50.680 and information

01:29:51.240 that this

01:29:52.600 eco-health

01:29:53.080 alliance

01:29:53.560 was trying

01:29:54.040 to hit up

01:29:54.460 Anthony Fauci

01:29:55.180 for money

01:29:55.580 for gain

01:29:55.980 of function

01:29:56.420 and when

01:29:57.560 they couldn't

01:29:58.000 get it

01:29:58.280 directly

01:29:59.380 to DARPA

01:29:59.880 they went

01:30:00.320 to the

01:30:00.560 defense agency

01:30:01.240 saying how

01:30:01.740 about from

01:30:02.120 you

01:30:02.460 all that's

01:30:03.380 been out

01:30:03.680 now

01:30:03.880 so there's

01:30:04.360 there's

01:30:04.740 proof

01:30:05.080 of

01:30:05.600 everything

01:30:06.120 you're

01:30:06.280 saying

01:30:06.500 keep

01:30:06.740 going

01:30:06.980 yeah

01:30:08.100 so

01:30:08.640 um

01:30:10.480 so then

01:30:11.540 they began

01:30:12.260 you know

01:30:12.920 the Chinese

01:30:14.000 were already

01:30:15.060 doing these

01:30:15.920 kind of

01:30:16.500 studies

01:30:16.980 and

01:30:18.460 they

01:30:19.300 um

01:30:20.200 Fauci

01:30:20.880 had been

01:30:21.120 doing them

01:30:21.660 since

01:30:21.920 2002

01:30:22.800 he

01:30:23.420 he had

01:30:23.860 funded

01:30:24.160 a study

01:30:24.720 by

01:30:25.120 a scientist

01:30:26.100 called

01:30:26.480 Kuo

01:30:26.920 where they

01:30:27.780 had taken

01:30:28.520 a

01:30:28.940 mouse

01:30:30.480 virus

01:30:31.000 and made

01:30:31.680 it so

01:30:32.000 it could

01:30:32.460 not

01:30:32.800 infect

01:30:33.260 mice

01:30:33.760 but it

01:30:34.200 would

01:30:34.420 infect

01:30:35.400 and kill

01:30:35.800 cats

01:30:36.300 it was

01:30:36.800 a gift

01:30:38.120 to the

01:30:38.440 mouse

01:30:38.760 community

01:30:39.160 but in

01:30:42.020 doing that

01:30:42.880 he had

01:30:43.480 proven that

01:30:44.100 you could

01:30:44.500 do these

01:30:45.060 cross

01:30:45.400 engineer

01:30:46.280 these cross

01:30:47.180 species

01:30:47.540 transmission

01:30:48.260 and people

01:30:48.760 were really

01:30:49.180 freaked out

01:30:49.800 about it

01:30:50.280 and they

01:30:51.520 did a lot

01:30:52.000 of other

01:30:52.340 sketchy

01:30:52.800 experiments

01:30:53.260 he ended

01:30:53.760 up in

01:30:54.280 China

01:30:54.620 the Chinese

01:30:56.300 government

01:30:56.860 what you

01:30:58.200 know the

01:30:58.460 US government

01:30:59.220 was saying

01:30:59.740 we're not

01:31:00.180 really doing

01:31:01.220 weapons

01:31:02.260 development

01:31:03.100 we're really

01:31:03.820 doing vaccine

01:31:04.960 development

01:31:05.520 the lead

01:31:06.540 scientist

01:31:07.120 was

01:31:08.640 Xing Li

01:31:09.200 who was

01:31:11.200 called the

01:31:11.600 bat lady

01:31:12.140 and Ralph

01:31:14.840 Barrick

01:31:15.440 who is

01:31:16.680 Fauci's

01:31:17.440 favorite

01:31:17.760 funder from

01:31:18.280 the University

01:31:18.760 of North

01:31:19.120 Carolina

01:31:19.620 started

01:31:21.040 exchanging

01:31:22.200 examples

01:31:22.800 with her

01:31:23.200 of spike

01:31:23.660 proteins

01:31:24.220 and teaching

01:31:25.500 her and

01:31:26.220 working with

01:31:26.800 her about

01:31:27.320 how to

01:31:27.920 take the

01:31:28.380 spike

01:31:28.780 protein

01:31:29.580 how to

01:31:31.260 remove the

01:31:32.400 spike

01:31:32.680 protein

01:31:33.300 that affected

01:31:34.140 bats

01:31:34.620 and build

01:31:36.860 a spike

01:31:37.500 protein

01:31:38.140 that had

01:31:39.100 this fur and

01:31:39.780 cleave site

01:31:40.560 that could

01:31:41.760 attach to

01:31:42.360 human lungs

01:31:43.020 and then

01:31:43.540 they tested

01:31:44.260 it by

01:31:44.880 they were

01:31:45.280 breeding

01:31:45.720 mice

01:31:46.260 humanized

01:31:47.080 mice

01:31:47.480 that had

01:31:47.980 human lungs

01:31:48.920 and they

01:31:50.740 give it to

01:31:51.360 the mice

01:31:51.900 not only to

01:31:52.680 see if

01:31:53.140 they could

01:31:53.480 kill the

01:31:53.880 mice

01:31:54.200 but also

01:31:55.440 to see

01:31:55.920 if they

01:31:56.220 could get

01:31:56.640 the mice

01:31:57.200 to cough

01:31:57.920 and infect

01:31:59.360 each other

01:31:59.840 and they

01:32:00.400 succeeded

01:32:00.980 in doing

01:32:01.500 that

01:32:01.840 and then

01:32:03.660 then he

01:32:04.720 did something

01:32:05.400 you know

01:32:05.720 so but

01:32:06.600 Tony Fauci

01:32:07.260 can still

01:32:07.860 say what

01:32:08.560 I'm doing

01:32:09.060 is for

01:32:09.520 medical

01:32:09.820 purposes

01:32:10.340 we're

01:32:10.800 developing

01:32:11.440 these things

01:32:12.020 and then

01:32:12.260 we're going

01:32:12.620 to develop

01:32:13.020 defenses

01:32:13.680 against

01:32:14.020 them

01:32:14.220 he funded

01:32:15.840 one study

01:32:16.560 that put

01:32:16.920 the light

01:32:17.360 all of

01:32:17.820 that

01:32:18.060 he

01:32:19.200 he funded

01:32:20.320 Ralph

01:32:21.020 Barrett

01:32:21.700 to develop

01:32:22.280 a technique

01:32:22.840 called

01:32:23.180 seamless

01:32:23.720 ligation

01:32:24.620 and that

01:32:25.740 is a

01:32:26.200 technique

01:32:26.620 for

01:32:28.520 hiding

01:32:29.200 the

01:32:30.320 engineering

01:32:30.820 project

01:32:31.440 so

01:32:32.660 you could

01:32:33.720 normally

01:32:34.860 when you

01:32:35.400 do that

01:32:35.860 kind of

01:32:36.220 engineering

01:32:36.680 you can

01:32:37.220 see it

01:32:37.820 and you

01:32:38.160 can say

01:32:38.540 that bug

01:32:39.440 was created

01:32:40.180 in a lab

01:32:40.820 he developed

01:32:42.480 a way

01:32:42.920 of hiding

01:32:43.660 all traces

01:32:44.460 that it

01:32:45.160 was developed

01:32:45.660 and he

01:32:46.620 taught that

01:32:47.460 to the

01:32:48.200 Chinese

01:32:48.560 scientists

01:32:49.240 and that

01:32:52.080 you know

01:32:52.520 there is

01:32:53.040 no public

01:32:54.280 health

01:32:54.660 it is the

01:32:55.320 opposite

01:32:55.900 of what

01:32:56.740 you would

01:32:57.080 do

01:32:57.420 if you

01:32:58.980 were interested

01:32:59.600 in public

01:33:00.120 health

01:33:00.400 it's the

01:33:00.940 opposite

01:33:01.280 if you're

01:33:01.680 interested

01:33:01.980 in public

01:33:02.360 health

01:33:02.580 you would

01:33:02.860 make sure

01:33:03.400 that any

01:33:03.880 kind of

01:33:04.220 tampering

01:33:04.560 you did

01:33:04.920 like that

01:33:05.420 had red

01:33:06.600 flags all

01:33:07.380 over it

01:33:07.780 that said

01:33:08.140 we made

01:33:08.820 this thing

01:33:09.320 teach it

01:33:11.200 how to

01:33:11.920 teach people

01:33:12.500 how to

01:33:12.840 hide that

01:33:13.540 only has

01:33:16.060 nefarious

01:33:16.660 purpose

01:33:17.180 and that's

01:33:18.120 because he

01:33:18.500 was getting

01:33:18.860 so much

01:33:19.240 money from

01:33:20.020 the defense

01:33:20.540 department

01:33:20.920 like he had

01:33:21.420 to keep

01:33:21.740 that money

01:33:22.240 I don't

01:33:22.760 look again

01:33:23.680 Megan I

01:33:24.440 don't look

01:33:24.820 into his

01:33:25.300 head I

01:33:25.880 just show

01:33:26.420 what the

01:33:27.060 facts are

01:33:27.760 he was

01:33:28.140 getting the

01:33:28.660 money he

01:33:29.220 was doing

01:33:29.700 these

01:33:29.960 experiments

01:33:30.480 and I

01:33:32.120 can show

01:33:32.860 that he

01:33:33.420 knew that

01:33:34.560 something had

01:33:35.320 to escape

01:33:35.860 this lab

01:33:36.460 because not

01:33:37.420 only but

01:33:38.220 Ralph Barrett's

01:33:39.320 lab is

01:33:41.040 famous as

01:33:42.280 the most

01:33:43.460 protective

01:33:44.920 the best

01:33:46.040 protocols way

01:33:47.140 beyond federal

01:33:47.880 protocols way

01:33:48.820 beyond any

01:33:49.400 protocols they

01:33:50.240 use in the

01:33:50.940 world Ralph

01:33:51.580 Eric is

01:33:52.360 famous he

01:33:53.200 brags about

01:33:53.920 it other

01:33:54.180 people brag

01:33:54.740 about it and

01:33:55.380 yet on his

01:33:56.040 lab he had

01:33:58.260 at least a

01:33:59.020 half a dozen

01:33:59.580 escapes you

01:34:00.740 know mice

01:34:01.420 that were

01:34:02.080 infected bit

01:34:02.800 people and

01:34:03.640 infected them

01:34:04.260 etc so there

01:34:05.000 was a lot of

01:34:05.740 disasters so

01:34:06.460 they knew the

01:34:07.280 Chinese labs

01:34:08.180 the Chinese

01:34:08.860 weren't even

01:34:09.540 using their

01:34:10.240 BSL-4 lab

01:34:11.400 which is the

01:34:12.000 highest level

01:34:12.600 they were

01:34:12.980 making these

01:34:13.740 things in

01:34:14.440 BSL-2 labs

01:34:15.460 the state

01:34:17.140 department was

01:34:18.620 writing letters

01:34:19.920 as the

01:34:20.660 embassy

01:34:21.240 officials

01:34:21.840 in China

01:34:23.680 inspected the

01:34:24.660 lab and

01:34:25.280 wrote these

01:34:25.720 alarm letters

01:34:26.580 saying there's

01:34:27.240 no protocols

01:34:28.040 here there's

01:34:28.620 no personnel

01:34:29.300 there's no

01:34:30.160 safety you

01:34:31.460 know something

01:34:32.040 we know

01:34:32.760 something's going

01:34:33.440 to escape and

01:34:34.120 every lab

01:34:35.080 there's escapes

01:34:35.860 from and this

01:34:36.760 lab was clear

01:34:37.940 and so you

01:34:39.640 know if you

01:34:41.760 if you're a

01:34:43.200 guy with a

01:34:43.940 long history

01:34:44.760 of taking

01:34:47.120 part in

01:34:48.160 fabricating

01:34:48.940 pandemics

01:34:49.700 you know

01:34:53.220 I guess

01:34:53.980 it's plausible

01:34:54.920 that one

01:34:55.700 way of

01:34:56.400 creating a

01:34:57.380 real pandemic

01:34:58.200 would be

01:34:58.940 to do

01:34:59.740 these a lot

01:35:00.980 of these

01:35:01.360 experiments in

01:35:02.200 a lot of

01:35:02.540 different places

01:35:03.280 where you know

01:35:04.000 something is

01:35:04.720 bound to escape

01:35:05.440 I'm not saying

01:35:06.440 he did that

01:35:06.940 because I

01:35:07.240 cannot look

01:35:07.940 into his

01:35:08.380 head and

01:35:10.220 I'm saying

01:35:10.740 it's something

01:35:11.320 it's the

01:35:11.880 consideration

01:35:12.600 that you

01:35:14.200 know we

01:35:14.520 know that he

01:35:15.200 knew it was

01:35:15.800 there were

01:35:16.540 improper safety

01:35:17.540 protocols and

01:35:18.380 that yes but

01:35:19.020 that's where

01:35:19.360 you but you

01:35:19.780 lose me on

01:35:20.580 you know the

01:35:21.820 suggestion I

01:35:22.780 understanding

01:35:23.340 you're not in

01:35:23.700 his head that

01:35:24.440 it was intentional

01:35:25.060 I just

01:35:25.580 that's that's

01:35:26.840 suggesting he's

01:35:27.580 a sociopathic

01:35:29.020 lunatic

01:35:29.440 I agree with

01:35:31.040 that and I

01:35:31.700 withdraw that

01:35:32.420 I I didn't

01:35:33.940 say that I

01:35:34.740 think if you

01:35:35.320 replay the

01:35:36.520 tape that I

01:35:37.020 said it's

01:35:37.680 plausible to

01:35:38.380 imagine that

01:35:39.020 this might

01:35:39.440 happen but

01:35:39.900 again I

01:35:40.200 I withdraw

01:35:40.920 it and it's

01:35:41.460 something that

01:35:41.960 I don't do

01:35:42.520 in the book

01:35:42.980 I don't

01:35:43.480 speculate I

01:35:45.560 just tell the

01:35:46.180 facts and I

01:35:46.860 don't ask you

01:35:47.260 a question

01:35:47.620 okay I got

01:35:48.280 it I got it

01:35:48.620 so let me

01:35:49.120 ask you this

01:35:49.520 because we

01:35:50.200 covered this

01:35:50.600 on the show

01:35:50.980 but there

01:35:52.520 was the

01:35:53.060 moment after

01:35:54.100 we saw the

01:35:55.280 first few

01:35:55.660 cases and

01:35:56.660 they the

01:35:57.260 virologists

01:35:57.900 started to

01:35:58.440 look at the

01:35:59.160 virus you

01:35:59.780 know they

01:35:59.920 got their

01:36:00.140 first look

01:36:00.560 at it and

01:36:01.780 there was

01:36:02.480 reporting that

01:36:03.500 that he

01:36:05.360 Fauci and

01:36:07.100 Francis Collins

01:36:07.820 who was then

01:36:08.440 running in

01:36:08.880 NIH they had

01:36:10.020 a conference

01:36:10.380 call with

01:36:10.820 all these

01:36:11.080 maybe 12

01:36:11.940 top virologists

01:36:12.720 in the world

01:36:13.140 and they

01:36:13.440 said let's

01:36:14.480 take a look

01:36:14.920 you know what

01:36:15.380 do we think

01:36:15.680 this is and

01:36:16.760 that virtually

01:36:18.420 all of them

01:36:19.320 came into this

01:36:20.580 call and the

01:36:21.340 notes reflect that

01:36:22.360 saying this is

01:36:23.420 man-made this

01:36:24.420 looks man-made

01:36:25.460 looks like it's

01:36:25.900 from a lab and

01:36:26.980 then miraculously

01:36:27.880 days later after

01:36:30.380 yeah four days

01:36:32.000 later and after

01:36:33.420 who knows what

01:36:34.240 communications with

01:36:34.920 Fauci and Collins

01:36:35.600 behind the scenes

01:36:36.320 they all did

01:36:37.840 a 180 and

01:36:39.620 they all stand

01:36:40.240 behind that

01:36:40.740 180 to this

01:36:41.660 day it was

01:36:42.400 like oh and

01:36:44.520 yet they have

01:36:45.140 failed to share

01:36:46.040 with the rest

01:36:46.580 of us what

01:36:47.900 was it that

01:36:48.940 changed your

01:36:49.480 very strongly

01:36:50.100 held opinions

01:36:50.720 that it was

01:36:51.260 man-made to

01:36:52.440 this very

01:36:53.060 strongly held

01:36:53.680 opinion which

01:36:54.420 they were now

01:36:54.960 calling racist

01:36:56.040 that it they

01:36:58.660 were calling the

01:36:59.080 man-made theory

01:36:59.600 racist to change

01:37:00.960 it 182 no no

01:37:01.960 no it definitely

01:37:02.500 came from an

01:37:03.020 animal zoonotic

01:37:03.820 origin even

01:37:04.840 though to this

01:37:05.680 day we have yet

01:37:06.240 to find the

01:37:06.620 animal they've

01:37:07.340 examined as I

01:37:08.080 said earlier 80

01:37:08.980 thousand animals

01:37:09.800 haven't found it

01:37:10.820 yeah Megan it's

01:37:13.780 also noteworthy

01:37:14.800 that all of

01:37:15.880 those people on

01:37:17.320 that telephone

01:37:17.880 call were

01:37:18.820 receiving were

01:37:19.620 were were

01:37:20.500 doing work at

01:37:22.260 the Wuhan lab or

01:37:23.720 were receiving

01:37:24.740 money from Tony

01:37:26.640 Fauci from NIH

01:37:27.840 that you know

01:37:28.960 and not just a

01:37:30.340 little money tens

01:37:31.640 millions of

01:37:33.000 dollars and

01:37:34.040 and more

01:37:34.660 yeah or from

01:37:36.540 welcome trust

01:37:37.460 which is the

01:37:39.220 British version

01:37:41.400 of the um

01:37:42.960 Gates foundation

01:37:44.100 and you know

01:37:45.020 it's kind of a

01:37:46.040 almost like

01:37:47.940 functions as an

01:37:48.820 arm of the

01:37:49.460 of the

01:37:50.420 pharmaceutical

01:37:51.000 industry it's

01:37:52.140 essentially the

01:37:52.780 GlaxoSmithKline

01:37:53.880 stock portfolio

01:37:55.400 and um and

01:37:58.160 even more

01:37:59.180 interesting

01:38:00.040 almost all the

01:38:02.220 key players on

01:38:03.380 that phone

01:38:03.840 call who

01:38:04.600 then took

01:38:05.200 part in

01:38:05.800 creating all

01:38:07.160 of this

01:38:07.480 literature out

01:38:08.300 there that

01:38:08.860 you know

01:38:09.380 that uh

01:38:10.260 that characterized

01:38:11.240 suggestions of

01:38:12.600 Labley as a

01:38:14.860 as crackpot

01:38:15.660 conspiracy theories

01:38:16.700 I got

01:38:17.160 fringe

01:38:17.360 Instagram you

01:38:19.420 know for

01:38:19.740 saying we

01:38:20.380 Congress

01:38:21.060 should

01:38:21.300 investigate

01:38:21.860 this

01:38:22.280 oh

01:38:23.620 virtually all

01:38:25.600 of them

01:38:25.900 following

01:38:26.820 their

01:38:27.780 publications

01:38:28.540 in the

01:38:29.820 Lancet and

01:38:30.420 Nature

01:38:30.780 Medicine

01:38:31.300 receive

01:38:33.120 huge huge

01:38:35.160 grants from

01:38:35.760 Tony Fauci

01:38:36.460 I mean grants

01:38:37.400 of you know

01:38:38.160 30 million

01:38:39.140 40 million

01:38:40.060 I think up

01:38:41.100 to 60

01:38:41.560 million

01:38:41.980 Kristen Anderson

01:38:42.960 I I don't

01:38:44.120 remember exactly

01:38:44.940 what he got

01:38:45.460 but it could

01:38:45.920 have been as

01:38:46.340 high as 60

01:38:47.080 million dollars

01:38:47.840 spent after

01:38:49.300 he performed

01:38:49.940 that very very

01:38:51.000 important task

01:38:52.060 for the you

01:38:54.040 know for the

01:38:54.680 medical cartel

01:38:55.600 and the

01:38:56.660 orthodoxy

01:38:57.700 we check that

01:38:58.860 too that they

01:38:59.400 not only had

01:39:00.140 they received

01:39:00.720 grants beforehand

01:39:01.480 they grant they

01:39:02.200 received them

01:39:02.940 after they're

01:39:04.040 miraculous and

01:39:05.000 as yet

01:39:05.560 unexplained

01:39:06.280 180 so

01:39:08.420 it it goes to

01:39:09.740 a larger point

01:39:10.240 that you make

01:39:10.620 in the book

01:39:11.000 which is that

01:39:11.880 there's the

01:39:14.020 you call it

01:39:14.620 the medical

01:39:14.940 cartel but

01:39:15.560 there is no

01:39:16.240 daylight between

01:39:17.360 Anthony Fauci

01:39:18.680 and his

01:39:20.220 group and

01:39:21.100 big pharma

01:39:21.600 and there

01:39:22.500 there needs

01:39:23.180 to be

01:39:23.600 yeah I mean

01:39:25.300 if people ask

01:39:26.220 how do you

01:39:26.640 fix this and

01:39:27.600 you know that's

01:39:28.580 what you need

01:39:29.160 you need an

01:39:30.140 independent

01:39:30.560 regulator

01:39:31.140 we need

01:39:31.760 regulators that

01:39:32.560 are not getting

01:39:33.300 money from

01:39:33.860 pharma that

01:39:34.500 are not you

01:39:35.340 know doing

01:39:35.800 pharma's

01:39:36.400 bidding but

01:39:37.200 aren't really

01:39:37.640 working for

01:39:38.160 public health

01:39:38.760 and the

01:39:39.000 American people

01:39:39.600 that are using

01:39:40.300 real science

01:39:41.320 listen you

01:39:42.300 can go in

01:39:43.140 the you

01:39:45.080 can go on

01:39:45.460 the public

01:39:45.860 health records

01:39:46.520 for Kaiser

01:39:47.220 the HMO

01:39:48.400 records if

01:39:49.240 let's say

01:39:49.800 you're a

01:39:50.920 young associate

01:39:53.240 professor at

01:39:53.900 UCLA medical

01:39:54.920 school you

01:39:55.560 want to do a

01:39:56.180 publication an

01:39:57.080 easy publication

01:39:58.120 would do get

01:39:58.780 a hold of the

01:39:59.360 Kaiser permanente

01:40:00.380 medical records

01:40:01.380 a depersonalized

01:40:02.620 version so you

01:40:03.440 can't tell who

01:40:03.980 the people are

01:40:04.680 and then look

01:40:06.580 at the vaccine

01:40:07.320 records and

01:40:08.680 look at

01:40:09.160 associations with

01:40:10.400 subsequent

01:40:10.840 diagnosis for

01:40:11.820 autism or

01:40:12.700 ADD or

01:40:13.660 or peanut

01:40:14.780 allergies if

01:40:16.660 you try to

01:40:17.360 do a study

01:40:17.940 propose a

01:40:18.620 study like

01:40:19.100 an NIH is

01:40:19.920 going to

01:40:20.080 find out

01:40:20.560 they fund

01:40:21.300 everything and

01:40:22.360 you know it's

01:40:22.960 likely that the

01:40:24.460 dean of your

01:40:25.040 medical school

01:40:25.720 will get a

01:40:26.240 call from

01:40:27.020 you walk in

01:40:28.900 gloss or you

01:40:30.100 know one of

01:40:30.640 other of Tony

01:40:31.860 Fauci's other

01:40:32.540 operatives saying

01:40:34.220 you know don't

01:40:35.380 let this don't

01:40:36.720 let this clown do

01:40:37.800 this study or

01:40:38.880 is going to

01:40:40.680 put 50 or

01:40:42.120 60 or 100

01:40:42.800 million dollars

01:40:43.460 in annual

01:40:43.900 funding from

01:40:44.620 NIH to your

01:40:45.620 medical school

01:40:46.520 in jeopardy

01:40:47.460 so he you

01:40:48.780 know it

01:40:49.220 between him

01:40:50.100 and Gates

01:40:50.680 and welcome

01:40:51.320 trust Jeremy

01:40:52.140 for our

01:40:52.700 who is up to

01:40:54.360 his neck in

01:40:55.140 Wuhan

01:40:55.540 they provide

01:40:58.620 64 percent

01:41:00.060 of the

01:41:00.960 biomedical

01:41:01.400 research on

01:41:02.780 the planet

01:41:03.280 if you are

01:41:05.120 a young

01:41:05.660 researcher a

01:41:07.060 scientist you

01:41:08.280 know a

01:41:08.860 professor in

01:41:09.540 a medical

01:41:09.920 school they

01:41:12.140 have the

01:41:12.500 capacity not

01:41:13.340 only to make

01:41:14.040 your career but

01:41:14.920 also to ruin

01:41:15.900 it and that's

01:41:17.140 the way that

01:41:17.740 they control

01:41:18.380 not only the

01:41:19.800 scientific studies

01:41:20.600 that get done

01:41:21.540 but also the

01:41:23.780 outcome of all

01:41:24.660 those studies

01:41:25.440 across the

01:41:26.100 planet and

01:41:27.100 you know

01:41:27.560 they're they're

01:41:28.560 what Fauci has

01:41:30.100 done what he's

01:41:31.260 supposed to do

01:41:31.820 that kind of

01:41:32.540 study

01:41:32.940 instead what

01:41:35.220 he does he

01:41:36.160 spends the

01:41:36.740 bulk of his

01:41:38.180 budget developing

01:41:39.760 medications which

01:41:41.600 they then farm

01:41:42.980 out to the

01:41:43.500 university to do

01:41:44.540 phase one phase

01:41:45.440 two and phase

01:41:46.040 three trials

01:41:46.780 and the

01:41:48.840 university could

01:41:49.760 make a hundred

01:41:50.620 million dollars

01:41:51.340 on one of

01:41:51.760 those trials

01:41:52.240 also gets

01:41:52.980 royalty rights

01:41:54.040 to the drug

01:41:54.700 they're developing

01:41:55.320 then when

01:41:56.100 it so

01:41:56.600 NIAID

01:41:57.880 takes royalty

01:41:58.880 rights

01:41:59.280 the university

01:42:01.020 takes royalty

01:42:01.780 rights the

01:42:02.380 principal

01:42:02.760 investigator who

01:42:03.780 is the

01:42:04.240 professor at

01:42:05.220 the university

01:42:05.780 who's running

01:42:06.440 the clinical

01:42:06.940 trial recruiting

01:42:08.080 the you know

01:42:08.940 the volunteers

01:42:10.320 he may get

01:42:12.140 fifteen thousand

01:42:12.920 dollars a

01:42:13.540 volunteer in

01:42:14.780 grant money and

01:42:15.620 then he gets

01:42:16.340 royalty rights

01:42:17.200 and then the

01:42:19.860 pharmaceutical industry

01:42:21.040 comes in for the

01:42:22.140 phase three

01:42:22.920 and they then

01:42:24.920 own the bulk

01:42:26.220 of the

01:42:26.460 patent but

01:42:27.020 they're sharing

01:42:27.800 royalty rights

01:42:28.580 with all these

01:42:29.080 other players

01:42:29.560 so everybody

01:42:30.580 is now

01:42:31.780 corrupted

01:42:32.340 everybody is

01:42:33.700 making money

01:42:34.280 on this drug

01:42:35.080 and the people

01:42:35.780 who are supposed

01:42:36.380 to be telling

01:42:36.960 us does the

01:42:37.780 drug actually

01:42:38.980 benefit people

01:42:40.140 or is it just

01:42:42.000 making money

01:42:42.600 for pharma

01:42:43.140 those people

01:42:44.480 don't exist

01:42:45.160 up next

01:42:47.740 rfk on why

01:42:49.360 dr fauci seems

01:42:50.340 obsessed

01:42:51.420 with making

01:42:52.440 sure all

01:42:53.680 of us

01:42:54.160 get the

01:42:54.900 covid jab

01:42:55.520 again

01:42:56.360 and again

01:42:57.720 and again

01:42:59.080 his theory

01:43:00.040 next

01:43:00.480 well you

01:43:06.840 make the

01:43:07.160 related point

01:43:08.140 that

01:43:08.700 fauci has

01:43:09.820 managed to

01:43:10.580 populate the

01:43:11.460 fda

01:43:12.100 the cdc

01:43:13.800 uh with

01:43:14.900 all of his

01:43:15.700 loyalists

01:43:16.540 now which

01:43:17.540 would explain

01:43:18.340 so much of

01:43:19.340 what we saw

01:43:20.040 over the past

01:43:20.720 two years

01:43:21.300 yeah because

01:43:23.100 making if you

01:43:24.220 look at

01:43:24.960 how these

01:43:26.600 drugs get

01:43:27.180 approved and

01:43:27.820 recommended

01:43:28.360 they're not

01:43:29.360 actually being

01:43:30.260 approved by

01:43:30.980 people who

01:43:31.640 work at

01:43:32.020 fda

01:43:32.440 by fda

01:43:33.520 employees

01:43:34.100 there are

01:43:35.920 committees one

01:43:36.760 of them is

01:43:37.120 called the

01:43:37.480 verback committee

01:43:38.300 inside of

01:43:39.120 um of uh

01:43:41.000 of fda

01:43:42.520 and then the

01:43:43.400 acip committee

01:43:44.240 and cdc

01:43:45.080 advisory committee

01:43:45.960 on immunization

01:43:46.980 practices

01:43:47.680 and the

01:43:49.900 fda

01:43:50.300 committee

01:43:50.900 approves

01:43:51.700 the drug

01:43:52.200 and then the

01:43:52.900 cdc committee

01:43:53.680 recommends it

01:43:54.540 but they're

01:43:54.960 not made

01:43:56.140 up of

01:43:56.960 employees of

01:43:57.760 those agencies

01:43:58.500 they're recruited

01:43:59.320 from outside

01:43:59.900 of those

01:44:00.360 agencies

01:44:00.820 and almost

01:44:01.340 all of them

01:44:02.000 are recruited

01:44:02.460 from the

01:44:02.940 pharmaceutical

01:44:03.380 industry

01:44:04.060 or

01:44:04.760 their

01:44:06.660 academic

01:44:07.620 investigators

01:44:09.200 who are

01:44:10.220 funded by

01:44:11.040 tony fauci

01:44:12.020 tony fauci

01:44:13.280 gives away

01:44:13.900 with his

01:44:14.380 military budget

01:44:15.400 he gives

01:44:15.900 away a

01:44:16.380 total of

01:44:16.940 about

01:44:17.320 um

01:44:17.840 7.7

01:44:19.800 billion dollars

01:44:20.800 a year or

01:44:21.340 more

01:44:21.660 maybe 8

01:44:22.640 billion now

01:44:23.280 um

01:44:24.740 nih

01:44:25.780 age

01:44:26.240 gives away

01:44:27.020 42

01:44:27.660 billion

01:44:28.080 and

01:44:28.760 tony fauci

01:44:29.400 has a lot

01:44:30.040 to say

01:44:30.440 about where

01:44:30.960 that money

01:44:31.440 goes so

01:44:31.980 it's just

01:44:32.440 it's vast

01:44:34.280 amounts of

01:44:34.820 money and

01:44:35.400 it buys a

01:44:36.100 lot of

01:44:36.780 omerta

01:44:37.300 and that's

01:44:38.420 the problem

01:44:38.940 okay there's

01:44:40.320 another point

01:44:40.860 you make

01:44:41.280 in the book

01:44:42.000 that is

01:44:42.640 fascinating to

01:44:43.960 me if we

01:44:45.080 if there's

01:44:45.480 if we know

01:44:45.800 one thing

01:44:46.180 about fauci

01:44:46.780 it's that he

01:44:47.580 is obsessed

01:44:48.800 with telling us

01:44:49.840 to get

01:44:50.080 vaccinated

01:44:50.580 obsessed

01:44:51.840 no matter

01:44:52.840 what you

01:44:53.260 ask him

01:44:53.680 it comes

01:44:54.720 back to

01:44:55.040 get vaccinated

01:44:56.280 get boosted

01:44:57.240 boosted

01:44:57.940 boosted

01:44:58.580 we need

01:44:58.900 more more

01:44:59.460 more more

01:44:59.760 more more

01:45:00.060 more more

01:45:00.400 and

01:45:01.500 you know

01:45:02.740 a lot of

01:45:03.220 us have

01:45:03.460 wondered

01:45:03.800 what why

01:45:05.380 right why

01:45:05.940 and you make

01:45:06.260 the point

01:45:06.620 in the book

01:45:07.320 about how

01:45:08.220 it's been

01:45:08.780 the vaccine

01:45:09.200 over any

01:45:09.740 therapeutics

01:45:10.420 you know

01:45:10.640 this is why

01:45:11.120 you claim

01:45:11.580 he had to

01:45:12.200 shame

01:45:12.460 hydroxychloroquine

01:45:13.520 had to

01:45:13.860 shame

01:45:14.100 ivermectin

01:45:14.900 it was like

01:45:15.240 no it has

01:45:15.640 to be all

01:45:15.960 about the

01:45:16.260 vaccine

01:45:16.600 but i had

01:45:17.660 never

01:45:18.060 considered

01:45:18.680 or you

01:45:19.840 know

01:45:19.980 read about

01:45:20.960 what you

01:45:21.840 posit in

01:45:22.200 the book

01:45:22.480 which is

01:45:23.040 and i'm

01:45:23.940 quoting

01:45:24.220 by vaccinating

01:45:25.880 the entire

01:45:26.500 population

01:45:27.240 dr fauci

01:45:28.440 seems to be

01:45:29.040 striving to

01:45:29.620 eliminate

01:45:30.160 the control

01:45:31.620 group

01:45:32.200 to hide

01:45:33.320 vaccine

01:45:34.000 injuries

01:45:34.740 this is your

01:45:35.600 opinion i

01:45:36.040 understand that

01:45:36.700 but that's a

01:45:38.500 very interesting

01:45:39.340 theory because

01:45:40.640 we know we

01:45:41.480 know from

01:45:41.820 firsthand

01:45:42.140 testimonials we've

01:45:42.920 had on this

01:45:43.320 show and other

01:45:43.780 shows people

01:45:44.640 have been

01:45:45.100 injured by the

01:45:45.580 vaccine not

01:45:46.300 everyone obviously

01:45:47.020 hundreds of

01:45:47.460 millions of doses

01:45:48.000 have been given

01:45:48.460 but some people

01:45:49.400 have been severely

01:45:50.160 injured and

01:45:51.160 almost to a

01:45:51.740 person their

01:45:52.200 story ends

01:45:52.780 with and i

01:45:53.900 was dumped from

01:45:54.500 the clinical

01:45:54.860 trial and my

01:45:55.400 result was not

01:45:56.000 reported and

01:45:57.220 the cdc went

01:45:58.180 totally dark on

01:45:58.940 me after

01:45:59.440 acknowledging to

01:46:00.060 me privately

01:46:00.520 that i had a

01:46:01.040 vaccine related

01:46:01.680 injury right so

01:46:02.800 we we know

01:46:03.660 injuries have

01:46:04.220 happened and i

01:46:05.640 and yet other

01:46:06.860 than vares which

01:46:07.700 i know is not

01:46:08.840 that reliable

01:46:09.500 because you just

01:46:09.960 self-report and

01:46:11.300 who knows we

01:46:12.920 don't have

01:46:13.620 something like a

01:46:14.500 completely trusted

01:46:15.260 database that's

01:46:16.020 keeping track of

01:46:16.540 the vaccine

01:46:16.960 injuries that

01:46:17.820 would help us

01:46:18.240 truly understand

01:46:18.960 the level of

01:46:19.840 risk and i

01:46:20.920 think this is a

01:46:21.440 fascinating theory

01:46:22.040 and there won't

01:46:23.100 be is basically

01:46:23.740 what you're saying

01:46:24.300 because he's

01:46:25.600 trying to get

01:46:27.060 rid of the

01:46:27.540 group that

01:46:29.040 doesn't that

01:46:29.640 didn't get the

01:46:30.060 vaccine so we

01:46:30.740 won't have

01:46:31.120 anything to

01:46:31.480 compare it

01:46:31.940 to well as

01:46:35.480 you know it's

01:46:37.120 again that's a

01:46:38.320 a it's hard to

01:46:42.020 explain it just

01:46:42.920 sort of bewildering

01:46:43.720 to explain why

01:46:44.960 are they even

01:46:46.240 when they know

01:46:46.840 that the vaccines

01:46:47.780 do not prevent

01:46:48.580 transmission the

01:46:49.660 vaccines do not

01:46:50.860 prevent people from

01:46:51.780 getting the

01:46:52.220 disease i is

01:46:54.620 there this

01:46:55.040 single-minded

01:46:55.640 obsession with

01:46:57.360 forcibly

01:46:58.140 vaccinating people

01:46:59.900 with a with an

01:47:00.920 experimental product

01:47:01.960 well and let me

01:47:02.840 just jump in and

01:47:03.540 they know they

01:47:04.160 know that the

01:47:04.660 large large groups

01:47:05.600 that they're

01:47:05.920 demanding get it

01:47:06.800 are at virtually

01:47:07.840 no risk from it

01:47:08.560 you know like the

01:47:09.080 young children so

01:47:09.880 so even yeah go

01:47:11.660 ahead and um

01:47:14.100 yeah i mean

01:47:15.100 people who really

01:47:16.440 who get no

01:47:17.360 benefit from the

01:47:18.140 from the vaccine

01:47:19.140 it doesn't make

01:47:19.960 any sense and

01:47:20.920 there's a number

01:47:22.800 of number of

01:47:23.460 suppositions about

01:47:24.660 why they're doing

01:47:26.380 this and that's

01:47:27.560 one of them i mean

01:47:28.680 it's a product that

01:47:29.500 doesn't work it's a

01:47:30.600 product that you know

01:47:31.560 you you get well

01:47:32.560 you can't say that

01:47:33.260 right i don't i

01:47:34.260 don't think i think

01:47:34.720 that's a bridge too

01:47:35.280 far i mean you're

01:47:36.480 65 years old you

01:47:37.380 get the vaccine you

01:47:38.040 have a far less

01:47:38.680 chance of getting

01:47:39.220 severe illness or

01:47:39.900 dying that's what

01:47:42.000 they say oh and

01:47:44.040 i i don't know

01:47:45.400 whether that's true

01:47:46.200 or not i know

01:47:46.980 that the fact i

01:47:48.060 mean doni fauci

01:47:49.040 has been added the

01:47:51.200 two claims they made

01:47:52.120 from the vaccine at

01:47:52.880 the outset to

01:47:53.640 justify the program

01:47:54.760 was it prevent you

01:47:55.820 from getting sick

01:47:56.540 and preventing

01:47:57.100 transmission and

01:47:58.120 therefore ending the

01:47:58.900 pandemic that those

01:47:59.940 are not true it

01:48:00.880 doesn't work yeah

01:48:01.920 against transmission

01:48:03.000 it does not reduce

01:48:04.220 it at all as far as

01:48:05.280 the science is

01:48:06.480 concerned i'll say in

01:48:07.440 their defense and

01:48:08.160 i'm i'm anti mandate

01:48:09.320 but i will say in

01:48:09.940 their defense it

01:48:10.600 worked better at

01:48:12.040 preventing transmission

01:48:13.060 on the original

01:48:14.100 variant the original

01:48:15.680 form than it than it

01:48:17.500 did as delta came and

01:48:18.920 then omicron came i

01:48:19.940 mean if you look

01:48:20.280 back like during the

01:48:21.240 first variant they

01:48:21.900 were saying we

01:48:23.060 think it's going to

01:48:24.100 prevent transmission

01:48:24.780 we're not sure it's

01:48:25.820 going to prevent

01:48:26.440 transmission but it

01:48:27.520 was doing better

01:48:28.220 against that very

01:48:28.920 first variant

01:48:29.620 yeah i mean you

01:48:31.240 may be right about

01:48:31.960 that i'd have to go

01:48:32.800 back and look at the

01:48:33.560 data but but right

01:48:36.300 now i mean we're not

01:48:37.320 dealing with the new

01:48:38.120 variant it doesn't

01:48:39.020 work against omicron

01:48:40.400 transmission it doesn't

01:48:41.940 work against delta and

01:48:43.060 we know i know it

01:48:43.920 doesn't work against

01:48:44.660 delta because the

01:48:45.700 philippine studies that

01:48:47.040 show that you have an

01:48:47.860 equal viral role and

01:48:48.980 tony fauci has

01:48:49.860 admitted that so i

01:48:52.860 don't know and i

01:48:53.840 can't say and i think

01:48:55.080 we're going to find

01:48:55.900 out over time

01:48:56.880 hopefully whether it

01:48:58.520 actually does function

01:49:00.260 in the way you know

01:49:01.300 that we hope it does

01:49:02.420 to prevent vaccine

01:49:03.900 injury and death i i'll

01:49:06.520 say you know explain

01:49:08.240 to your listeners that

01:49:11.020 there's a that people

01:49:12.600 wonder why did we need

01:49:14.140 to suppress ivermectin

01:49:15.520 and hydroxychloroquine

01:49:16.680 these are well-established

01:49:17.900 drugs with well-established

01:49:19.540 safety profiles that

01:49:20.780 have got billions of

01:49:21.800 doses have been given

01:49:23.000 ivermectin is a human

01:49:24.800 drug it also works on

01:49:27.040 horses but it won the

01:49:28.880 nobel prize because it

01:49:30.200 works so well on human

01:49:31.500 beings the only

01:49:33.340 fauci's problem is this

01:49:34.860 there's a little known

01:49:36.540 federal law that says

01:49:38.960 you cannot give an

01:49:40.940 emergency use

01:49:41.740 authorization to a

01:49:42.920 vaccine if there is

01:49:46.220 a medic any medication

01:49:48.720 approved for any

01:49:50.080 purpose that is shown

01:49:52.020 effective against the

01:49:54.800 target disease so if

01:49:57.880 tony fauci or anybody

01:49:59.240 had admitted that

01:50:01.260 hydroxychloroquine or

01:50:02.880 ivermectin are effective

01:50:04.480 against covid it would

01:50:05.980 have been illegal for

01:50:06.860 them to give the

01:50:07.540 emergency use

01:50:08.400 authorizations to the

01:50:10.020 vaccines and they could

01:50:10.980 never have gotten them

01:50:11.800 approved and it would

01:50:12.620 have been you know a

01:50:13.860 200 billion enterprise

01:50:15.380 that would have

01:50:15.900 collapsed

01:50:16.420 that is fascinating i

01:50:20.240 mean i i have been

01:50:21.580 covering this very

01:50:22.520 closely now for all the

01:50:23.560 two years that's the

01:50:24.260 first i've heard that

01:50:24.980 that i mean i'm in your

01:50:25.900 book um so he would

01:50:28.540 not have gotten

01:50:29.220 emergency use

01:50:30.200 authorization for the

01:50:31.040 vaccine if it if the

01:50:33.220 medical community had

01:50:34.100 been saying ivermectin

01:50:35.980 works it is an

01:50:37.080 effective treatment for

01:50:38.860 covid

01:50:39.360 well the medical

01:50:41.460 community a lot of it

01:50:42.620 was saying that i mean

01:50:43.800 there's 17 000 doctors

01:50:45.680 who signed a petition

01:50:48.100 and there are you know

01:50:50.040 there are so many

01:50:51.520 peer-reviewed

01:50:52.300 publications now that

01:50:53.900 consistently say that but

01:50:55.980 he had to aggressively

01:50:57.720 crusade against it to

01:50:59.780 kind of drown out those

01:51:01.400 reports by saying it's a

01:51:02.880 horse medication it's you

01:51:04.800 know people are taking it

01:51:07.220 and it's dangerous and it's

01:51:08.820 overdosing people and you

01:51:10.560 know why do you keep

01:51:11.380 saying it why do you why

01:51:12.240 do you keep saying it

01:51:13.080 after he got his

01:51:13.800 authorization

01:51:14.320 well one even if you

01:51:17.760 have the emergency use

01:51:18.880 authorization it's it

01:51:20.700 the law appears to say

01:51:23.880 you can't have it anymore

01:51:25.200 if there's a functioning

01:51:26.140 medication

01:51:26.840 oh um you know that may

01:51:30.280 be why again i try not to

01:51:33.400 look in his head but i do

01:51:34.620 there's a very very strong

01:51:35.960 incentive

01:51:36.500 for him to kill ivermectin

01:51:39.420 and hydroxychloroquine and

01:51:41.060 you know there there are

01:51:42.520 many doctors including

01:51:44.160 harvey reach of yale is

01:51:45.800 one of the leading um

01:51:47.380 biostatisticians epidemiologists

01:51:49.620 in the in the world um

01:51:51.820 peter mcculloch who is the

01:51:53.360 most published uh doctor in

01:51:56.500 the history of the world in

01:51:57.660 his specialty

01:51:58.460 um peter corey um these

01:52:02.320 doctors who have treated

01:52:03.780 tens of thousands of uh of

01:52:06.120 covid patients successfully

01:52:07.520 they consistently say and the

01:52:10.700 science supports this that

01:52:12.300 half a million americans did

01:52:14.640 not need to die

01:52:15.620 it should be noted for the

01:52:17.420 record um you're not a medical

01:52:18.880 doctor don't claim to be

01:52:19.960 anthony fauci is a medical

01:52:21.300 doctor who's as far as we know

01:52:22.560 never treated a covid patient so

01:52:23.980 um just for the record i want to

01:52:27.220 ask you though because you

01:52:27.920 mentioned the fact that you got

01:52:29.260 bounced off of instagram where

01:52:30.940 you had a very healthy

01:52:31.800 following i think a million

01:52:33.220 people or so

01:52:34.380 correct me if i'm wrong on the

01:52:35.760 numbers but um

01:52:36.620 you got bounced off of there for

01:52:38.980 saying we need to investigate

01:52:39.960 the lab leak theory

01:52:41.480 um you've been i think your

01:52:43.980 number two

01:52:44.620 on the white house is quote

01:52:46.020 disinformation dozen

01:52:47.500 so we've had a very strange

01:52:50.000 situation where you have

01:52:51.160 government

01:52:51.620 action to try to silence a

01:52:53.940 private citizen

01:52:54.520 from expressing his

01:52:56.200 viewpoints which is

01:52:57.160 i mean totally contrary to the

01:52:58.500 first amendment and everyone

01:52:59.400 seemed to roll over and say

01:53:00.740 yep okay fine as long as we're

01:53:02.320 shutting up

01:53:02.760 rfk jr that's fine

01:53:04.200 that's that's okay with us

01:53:05.600 because he's

01:53:06.320 you know anti

01:53:07.020 covid vaccine or he's raising

01:53:08.320 questions about the covid vaccine

01:53:09.320 so i wonder

01:53:10.700 how you feel

01:53:12.160 now that

01:53:12.860 some of the claims that you

01:53:14.320 know you were making

01:53:15.060 have

01:53:16.020 borne out right

01:53:17.240 like the lab leak theory now

01:53:18.940 is you're now you're allowed

01:53:20.120 to talk about that

01:53:20.860 and um you know some of the

01:53:22.760 questions about ivermectin

01:53:23.820 now people are

01:53:25.100 talking about ivermectin as a

01:53:26.460 serious thing and so on we

01:53:27.360 could go down the list

01:53:28.000 what do you think about the

01:53:29.140 censorship you've endured

01:53:30.300 oh that i mean to me

01:53:33.020 megan that's the most disturbing

01:53:35.160 feature of this

01:53:36.720 and that is where we will pick it

01:53:39.720 up tomorrow with part two

01:53:41.420 the efforts to silence

01:53:43.380 robert the personal toll it has

01:53:45.520 taken on his marriage to

01:53:46.740 cheryl hines

01:53:47.320 and why he refuses

01:53:49.460 despite all of it

01:53:50.500 to back down

01:53:51.540 here's a preview

01:53:52.500 when your spouse is on the

01:53:54.800 side of the

01:53:55.300 the other people

01:53:56.080 you know you've done wrong

01:53:57.480 right because your spouse is

01:53:58.600 rooting for you

01:53:59.320 yeah

01:54:00.200 well my spouse is

01:54:01.620 is generally rooting for me

01:54:03.640 but let me tell you know i

01:54:05.320 i want to say this

01:54:07.340 i um

01:54:08.720 you know

01:54:09.360 i encourage cheryl to

01:54:11.380 publish that statement

01:54:13.320 in fact

01:54:13.660 i asked her to do a statement

01:54:15.980 that was much tougher than that

01:54:17.660 really

01:54:18.140 which

01:54:19.580 yes

01:54:20.480 because

01:54:21.300 and i'm glad she didn't

01:54:24.060 i'm very glad she didn't

01:54:25.640 but

01:54:25.980 um

01:54:26.620 i actually gave her language

01:54:28.580 that was much much tougher than that

01:54:30.420 because

01:54:30.740 she needed to distance herself from me

01:54:33.500 i

01:54:33.940 my job

01:54:34.880 her husband is to protect her

01:54:36.480 and the

01:54:37.840 the arrows

01:54:39.060 and the bullets

01:54:40.200 that were being

01:54:41.160 slung at me

01:54:42.040 were hitting her

01:54:42.840 my activities

01:54:44.840 the jeopardizing

01:54:47.740 this thing

01:54:48.620 that this

01:54:49.120 incredible person

01:54:50.640 put together

01:54:51.500 was just

01:54:52.340 like

01:54:53.660 i felt like

01:54:54.940 my job

01:54:55.620 is to protect her

01:54:56.500 and i was doing

01:54:57.320 the opposite

01:54:58.220 of my job

01:54:59.060 so my

01:54:59.860 heart was breaking

01:55:01.260 and i was

01:55:04.220 um

01:55:04.760 you know

01:55:06.080 i would have done

01:55:06.920 had taken any blow

01:55:08.560 to make sure

01:55:10.180 that she could

01:55:11.120 distance herself

01:55:12.260 plus he shares

01:55:14.060 the one moment

01:55:14.780 that has always

01:55:15.560 stayed with him

01:55:16.520 after his father's

01:55:17.720 assassination

01:55:18.220 before we go

01:55:19.740 we wanted to let you know

01:55:20.760 uh that we did reach out

01:55:22.080 to dr anthony fauji

01:55:23.160 and dr ralph barrick

01:55:24.460 neither responded

01:55:25.400 to our request

01:55:26.220 or comment

01:55:27.160 remember

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01:55:28.740 the megan kelly show

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01:55:45.220 and make it possible

01:55:46.560 for us to continue

01:55:47.420 bringing you

01:55:48.100 shows like this

01:55:49.300 thanks for listening

01:55:50.440 part two

01:55:51.180 coming up tomorrow

01:55:52.120 thanks for listening

01:55:56.000 to the megan kelly show

01:55:57.120 no bs

01:55:58.000 no agenda

01:55:58.740 and no fear

01:55:59.900 thanks for listening

01:56:02.500 to the megan kelly show

01:56:03.440 we're all one

01:56:05.240 because we don't know

01:56:05.260 in the air

01:56:07.580 um

01:56:08.080 we'll be on the air

01:56:09.020 we'll have to you

01:56:09.480 cause we'll have it

01:56:10.120 you

01:56:10.840 that mastery

01:56:11.580 and we'll have to try

01:56:12.120 it

01:56:13.060 and we'll have to try

01:56:13.520 oh

01:56:14.160 nice

01:56:14.740 and we'll be on the air

The Megyn Kelly Show - March 21, 2022

Fauci, Vaccines, and Big Pharma's Power ｜ Robert F. Kennedy, Jr. Interview, Part 1 ｜ Ep. 282

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