Valuetainment - Episode 484： Robert Kennedy Jr. Destroys Big Pharma, Fauci & Pro-Vaccine Movement

00:00:00.000 30 seconds.

00:00:01.880 Did you ever think you would make it?

00:00:04.220 I feel I'm so close I could take sweet victory.

00:00:07.640 I know this life meant for me.

00:00:10.760 Yeah, why would you bet on Goliath when we got Bet David?

00:00:14.580 Valuetainment, giving value is contagious.

00:00:16.440 This world of entrepreneurs, we get no value to haters.

00:00:19.160 How they run, homie? 1.00

00:00:20.140 Look what I become.

00:00:21.400 I'm the one.

00:00:22.460 I'm Patrick Bredeby, host of Atom.

00:00:23.880 And today I want to share with you an exclusive interview I did with Robert Kennedy Jr.

00:00:26.960 talking about big pharma, Fauci, and pro-vaccine movement.

00:00:30.000 Robert, thank you for being a guest on Valuetainment.

00:00:32.320 Thank you for having me, David.

00:00:34.520 So, Robert, just out of curiosity, why did you want to do a long-form interview

00:00:39.720 and kind of share some of your thoughts and views with the current times,

00:00:44.180 with what's taking place with coronavirus, with Fauci, with vaccines,

00:00:48.740 with all these things being done?

00:00:50.000 Why did you agree to do a long-form interview?

00:00:52.300 Well, I'd love to talk to your audience.

00:00:54.260 And, you know, listen, Patrick, I've been working on this issue for 15 years.

00:01:04.260 The problem with this issue is that if most people understood it,

00:01:09.200 if most people heard me talk about it or heard me debate about it,

00:01:12.460 I think most people would agree with my positions, which are common-sense provisions.

00:01:18.100 The vaccine should be tested like every other drug.

00:01:22.300 The problem is we don't get to convey those thoughts to anybody because of its censorship.

00:01:30.020 I haven't been allowed to publish an editorial since 2008.

00:01:34.980 Newspapers will attack me and then will not allow me to rebut in any way.

00:01:40.880 I can't even write letters to the editor.

00:01:43.420 I cannot appear on television, social media, Facebook, Google, Instagram,

00:01:50.260 all censor what we're saying.

00:01:51.960 Oh, I can – I have an Instagram account.

00:01:56.400 I have, you know, a lot of followers on Instagram,

00:01:58.980 and that's where I mainly communicate.

00:02:02.460 They are severely restricted in being able to share my Instagrams with other people.

00:02:08.520 That's constricted, and I'm not allowed to boost it.

00:02:11.100 So my growth is much slower than it would have been if I was actually allowed to boost.

00:02:18.640 We can't do that on any of the social media sites.

00:02:22.480 Social media sites like Google are intertwined and entangled financially with the pharmaceutical industry.

00:02:31.420 Google has a $750 million deal with Glaxo.

00:02:36.920 It's working with all the pharmaceutical companies to harvest data to get people's medical data

00:02:44.640 through Alexis, through Siri, through your cell phones when they're left on

00:02:51.260 and the microphone is still working, and through your buying habits and monitoring those things.

00:02:57.040 So they are in a partnership.

00:02:58.880 Google actually is part of a larger company called Alphabet,

00:03:02.420 and there are other subsidiaries of that company that actually manufacture vaccines.

00:03:07.840 So Google actively censors it.

00:03:11.520 When you do a Google search, it edits those search to make sure that you do not find the things

00:03:18.900 that are the most common search subjects.

00:03:22.100 It will direct you towards things.

00:03:25.160 It will direct you away from anything that harms the pharmaceutical industry.

00:03:28.920 It will direct you away from vitamins.

00:03:31.860 It will direct you away from chiropractors.

00:03:34.560 It will direct you away from functional health or integrative medicine

00:03:39.560 or any kind of alternative to the allopathic, you know, pharmaceutical paradigm.

00:03:47.880 What are you saying that's so offensive where many of these social media platforms

00:03:53.820 or even mainstream media wants to censor you from?

00:03:56.680 I, you know, here's the story, Patrick.

00:04:00.440 I got dragged into the vaccine issue really kicking and screaming, very reluctantly.

00:04:07.540 I'm an environmental lawyer.

00:04:08.940 I ran the biggest water, and still do, the biggest water protection group

00:04:12.600 in the World Water Keeper Alliance.

00:04:14.900 I'll tell you how I got into this.

00:04:16.540 In the early 2000s, we have 350 water keepers in 46 countries around the world.

00:04:27.480 Each one has a patrol boat.

00:04:29.860 They patrol their local river, and they sue polluters who are degrading it or contaminating it.

00:04:35.620 In around 2002 to 2005, I was actively litigating against about 40 coal-burning power plants

00:04:45.740 and cement kilns for discharging mercury.

00:04:48.920 The mercury was coming out of their smokestacks, landing on the landscapes,

00:04:53.580 it was contaminating fish.

00:04:55.080 And at that time, FDA did a study in 2003 that said that every freshwater fish in America

00:05:01.900 now had dangerous levels of mercury in its flesh.

00:05:04.680 So we were specifically, a lot of people were suing coal-burning power plants.

00:05:09.420 We were specifically suing them on mercury.

00:05:13.160 And I was going around the country pushing legislation, talking about my lawsuits, raising money.

00:05:19.840 At almost every public appearance that I made, there would be groups of women who would show up, 1.00

00:05:26.320 and they would come up to me afterward.

00:05:28.760 And it turns out that all of those women were women who had children with intellectual disabilities.

00:05:36.380 And they believed that their children had been harmed by the vaccines.

00:05:41.240 And specifically, from the mercury that was then in, you know, many of the vaccines, still is in some of them today.

00:05:50.440 And they would say to me, if you're in kind of a mildly scolding but respectful way,

00:05:56.400 if you're genuinely interested in mercury contamination to children, you need to look at the vaccines.

00:06:01.840 It's not something that I wanted to do.

00:06:04.520 I was very content doing, you know, protecting rivers.

00:06:08.660 I had been raised in the spirit of the movement for rights for people with intellectual disabilities.

00:06:16.240 I worked in Camp Schreiber from when I was a little kid as a counselor, as a hugger.

00:06:23.020 It later became Special Olympics, the year my father was killed in 1968.

00:06:27.820 We turned that into Special Olympics.

00:06:30.760 And my family, I worked for hundreds of hours when I was in high school at Wausauka Home for the Retarded 1.00

00:06:36.380 because it was a central preoccupation of my family, children, particularly with intellectual disabilities.

00:06:42.720 It's not, I had a lot of exposure to it, but it's not where I wanted to spend my life, a lot of empathy.

00:06:49.360 I really was committed to spending my life trying to clean up rivers and clean energy and those issues.

00:06:56.280 One of these women came to my home in the summer of 2004 with a big pile of scientific studies,

00:07:06.640 about 18 inches thick, and she put it on my front porch.

00:07:09.860 She was a psychologist from Minnesota named Sarah Bridges.

00:07:12.880 She had a child who had gotten autism from vaccines, had actually gotten a $20 million award from the vaccine court,

00:07:21.080 which recognized that his autism had come from the vaccines.

00:07:25.000 She brought that.

00:07:26.100 She didn't want it to happen to any other kids.

00:07:28.840 She brought me this big pile of scientific studies, and she said,

00:07:31.900 I'm not leaving here until you read this.

00:07:35.560 Now, I'm very accustomed to reading science.

00:07:39.500 I've brought over 500 successful lawsuits in my career.

00:07:44.040 Almost all of them involve some kind of scientific controversy.

00:07:47.520 So I actually started, I'm not going to say I read all the studies cover to cover,

00:07:53.060 but I read the abstract for all of them, which is the summary at the beginning of the study.

00:07:57.700 And before I was six inches into that pile, I was already dumbstruck by the huge delta

00:08:04.960 between what the actual published peer-reviewed science was saying

00:08:09.800 and what the public health regulators were telling the public and doctors and everybody else

00:08:15.300 about the safety of vaccines.

00:08:17.700 And I realized that there was a real problem,

00:08:21.600 and that these vaccines in our country, unlike other medicines, are never safety tested.

00:08:28.980 People find that astonishing.

00:08:30.760 The reason for that is an artifact of CDC's legacy as the public health service.

00:08:38.980 That was the predecessor agency to CDC.

00:08:42.440 The public health service was a quasi-military agency,

00:08:46.460 which is why people at CDC still have military ranks, like surgeon general, etc.

00:08:52.800 And the vaccine program was initially launched as a national security defense

00:08:57.960 against a biological attack on our country.

00:09:00.300 So the regulators and the Pentagon wanted to make sure that if the Russians attacked us

00:09:06.460 with anthrax or some other biological agent, they could quickly fabricate and deploy

00:09:11.320 a vaccine to 200 million people without regulatory impediments.

00:09:17.580 And so they said, if we call it a medicine, we're going to have to safety test it,

00:09:21.600 and that usually takes two to five years.

00:09:24.020 Let's call it a biologic, and then we will exempt biologics from having to do safety testing.

00:09:34.300 So the industry, the four companies that make all 72 vaccines that are currently mandated

00:09:43.800 for our children, I've got another gift that has contributed to the lack of safety assessments

00:09:54.640 and lack of safety concerns with vaccines.

00:09:57.180 And that is, in 1986, there was a vaccine.

00:10:02.280 I got three vaccines when I was a kid.

00:10:04.440 But by 86, there was about 11 of them.

00:10:07.680 And one of them was called the diphtheria, tetanus, and pertussis, or the DTP vaccine.

00:10:12.120 And it was killing lots and lots of children, and it was causing brain damage in a tremendous

00:10:17.340 number of children.

00:10:19.260 And the industry was getting sued.

00:10:22.160 Oh, Wyatt, which is now called Pfizer, went to Congress and said, we are getting out of

00:10:28.400 the vaccine industry because we're paying $20 in damages for every $1 we make from this

00:10:34.900 vaccine.

00:10:35.380 And you cannot make a vaccine safely.

00:10:40.740 You cannot, it is impossible to make a vaccine that's completely safe.

00:10:44.740 You are going to injure a certain amount of people, and the injuries are going to be grievous

00:10:49.980 enough that nobody will ever make any money on vaccines because they're going to have to

00:10:55.480 pay more on injuries, and we can't make them better.

00:10:58.740 And we're going to get out of the industry altogether and stop making vaccines unless you give us

00:11:05.040 complete blanket immunity from liability.

00:11:09.120 So Congress, the Democratic Congress, Republican President Reagan, all of them taking lots of

00:11:15.860 money from these pharmaceutical companies, the number one contributor, passed along in 1986

00:11:22.260 called the Vaccine Act, or VICA, which gave blanket immunity.

00:11:26.620 So no matter how grievous your injury or your child's injury, no matter how toxic the ingredient,

00:11:32.520 no matter how sloppy the line protocols, no matter how negligent that company, you cannot

00:11:38.080 sue them or redress.

00:11:40.900 So there's no discovery.

00:11:42.280 There's no depositions.

00:11:43.560 There's no medical malpractice.

00:11:45.080 There's no class actions.

00:11:47.280 There's zero consequence if they kill you or if they injure you from life.

00:11:51.340 And the vaccine companies, or the pharmaceutical companies, took a look then at the landscape

00:11:59.680 and they said, holy cow, now we have a product that there is no liability.

00:12:06.600 And for every medical product, the biggest cost is paying liability at the back end.

00:12:12.020 So they said, no, you know, that's scrubbed.

00:12:13.980 We don't have to worry about that.

00:12:15.360 Number two, we don't have to safety test them.

00:12:19.440 So there's no reason.

00:12:21.440 There's no, that's a huge cost also for every other medication that they're now avoided.

00:12:27.740 Third, there is no marketing cause and zero advertising costs because the government is

00:12:34.580 going to mandate this product to 78 million people.

00:12:37.280 So there's no market forces or legal forces to tell us to make this vaccine safe.

00:12:45.640 And there's no reason to make it safe because nobody can sue you.

00:12:49.440 Nobody can do discovery.

00:12:51.440 There's no consequence of giving you a really dangerous vaccine.

00:12:56.420 Oh, there was a goal.

00:12:57.600 And by the way, with all those costs waived and mandatory consumption of that product,

00:13:06.060 it's a goldmine.

00:13:08.640 Oh, if you can get a vaccine on the CDC schedule, it's worth a billion dollars a year typically

00:13:16.460 to your company.

00:13:18.440 So there was a gold rush and all of these companies rushed on CDC and captured the agency

00:13:23.980 and got them to mandate all these vaccines.

00:13:27.680 And we went from the three vaccines that I had when I was a kid to 72 doses of vaccines

00:13:34.000 that my children's generation is getting.

00:13:37.980 And what happened?

00:13:38.920 And that process began in 1989.

00:13:42.660 And if you look at what happened in 89, we suddenly had an epidemic of chronic disease.

00:13:50.340 So the allergic disease, peanut allergies, suddenly became epidemic.

00:13:58.280 Peanut allergies in my generation or in the generation in 1986 were about 1 in 1,200.

00:14:05.440 Today it's 1 in 12 kids.

00:14:08.580 The asthma exploded.

00:14:11.000 Another allergic disease, anaphylaxis, eczema, which I never heard of when I was a kid,

00:14:15.540 now is everywhere.

00:14:16.740 It's ubiquitous.

00:14:17.320 We know that all those injuries are caused by vaccines.

00:14:21.020 Those are the allergic illnesses, the neurodevelopmental disorders, ADD, ADHD, speech delay, tics,

00:14:28.920 narcolepsy, language delay, SIDS, and ASD and autism suddenly exploded.

00:14:38.040 Autism rates went from 1 in 10,000 in my generation to 1 in every 34 kids today, 1 in every 22 boys.

00:14:45.800 This is a crisis.

00:14:47.360 This is a crisis.

00:14:47.420 It's much worse than the coronavirus crisis.

00:14:50.700 1 in 22 boys debilitated for life will never write poetry, never vote.

00:14:58.980 Half of them will never use a toilet.

00:15:02.360 None of them, half of them will never utter a word.

00:15:06.820 They'll never go on a date.

00:15:08.780 They'll never pay tax.

00:15:10.500 They'll never serve in the army.

00:15:12.900 There's 1 in every 22 boys.

00:15:15.660 This is a huge, huge crisis that dwarfs coronavirus.

00:15:21.020 And the CDC, if there are 700 measles cases in this country,

00:15:26.600 they will put 1,200 forensic pathologists and virologists in moon suits,

00:15:31.380 and they'll go out and turn over every rock and find out where that came from,

00:15:37.040 what is causing it.

00:15:39.220 And if you ask CDC, which is the Center for Disease Control,

00:15:42.360 their job is to tell us where these diseases are coming from,

00:15:46.220 where's the peanut allergies coming from?

00:15:48.780 I don't know.

00:15:50.180 Where's the autism coming from?

00:15:52.200 Where's the ADD?

00:15:53.240 Where are all these autoimmune diseases?

00:15:54.920 Why are we exploding with juvenile diabetes,

00:15:58.980 with rheumatoid arthritis, with fibromyalgia?

00:16:02.560 The reason is because they know where it's coming from.

00:16:05.420 It's coming from the vaccines.

00:16:07.040 And it's not me saying this.

00:16:10.000 If you look, there's 420 diseases that are now epidemic since 1989.

00:16:16.700 And by the way, Congress told the EPA,

00:16:19.380 tell us what year the autism epidemic began.

00:16:23.180 And the EPA scientists came back and said,

00:16:26.980 we can draw a red line.

00:16:28.860 It happened in 89.

00:16:30.720 That's when everything changed.

00:16:32.300 Well, that's the year the vaccine schedule changed.

00:16:34.360 But those diseases that are now epidemic,

00:16:38.280 those 420 diseases,

00:16:40.560 they appear on two lists.

00:16:42.760 One is a list of diseases that have become epidemic since 1989.

00:16:47.060 And two, they are on the manufacturer's inserts listed as side effects from vaccination.

00:16:56.000 And the reason for that, Patrick,

00:16:57.480 is because if the one way that you can sue a vaccine company under VICA

00:17:04.860 is if they know of an injury that's caused by vaccines,

00:17:10.020 a side effect,

00:17:11.060 and they fail to list it on their manufacturer's inserts.

00:17:14.060 So that's the one place they're on it.

00:17:16.760 And if you look at the DTaP vaccine,

00:17:20.440 autism is listed as an insert on their insert.

00:17:23.640 So they'll deny it everywhere else.

00:17:26.780 They admit it on their inserts.

00:17:28.380 And that's where you can go to get the truth.

00:17:31.180 Let me say one other thing.

00:17:33.840 You know, my party, the Democratic Party,

00:17:37.340 is the worst on this issue.

00:17:40.560 And it's very odd to me that they're mandating these vaccines that are untested.

00:17:45.880 How can you mandate any medication for a human being?

00:17:48.620 How can you tell somebody we are going to force you to take a medication

00:17:53.340 that you don't want to take?

00:17:55.620 And, you know, we signed a treaty, the Nuremberg Charter,

00:17:58.940 after World War II because the Nazis were doing that. 0.92

00:18:01.580 They were testing vaccines on people and all these other medical treatments.

00:18:05.600 And we said that is a war crime. 0.77

00:18:09.260 We don't do that to people.

00:18:10.740 And we signed the Syracuse Protocols,

00:18:13.860 the UN Charter of Human Rights,

00:18:15.560 the Holinsky Accords, the Nuremberg Charter,

00:18:18.700 all of those saying to them,

00:18:19.900 you cannot give a medication to somebody against their will,

00:18:22.940 even if the life of the nation is at stake.

00:18:26.100 That's a quote.

00:18:27.980 And yet we're mandating these drugs

00:18:31.460 that not only are we forcing people to take them,

00:18:35.500 and we know they cause injury,

00:18:37.800 and the vaccine court has paid out $4 billion.

00:18:40.400 And they're severely limited, those judgments.

00:18:46.200 And even HHS admits at the vaccine court

00:18:49.980 that fewer than 1% of injuries ever gets reported or awarded.

00:18:55.920 So, you know, make that $400 billion.

00:18:59.120 We know they cause a lot of injuries.

00:19:01.040 Even if they cause one injury,

00:19:02.540 how can you force a human being to take it against their will?

00:19:05.500 Well, it makes no sense.

00:19:08.080 Oh, but the other thing is,

00:19:10.560 the Democrats will say,

00:19:13.320 if you ask them,

00:19:15.040 what is the most corrupt industry

00:19:17.720 that's corrupted our political system?

00:19:19.660 They'll all say the same thing.

00:19:21.180 You know, the oil industry is huge,

00:19:23.260 and that's a side injury,

00:19:25.100 but they'll say nobody has the influence

00:19:27.180 that the pharmaceutical industry has.

00:19:28.880 There are more pharmaceutical lobbyists on Capitol Hill

00:19:32.460 than there are congressmen, senators,

00:19:34.020 and Supreme Court justices combined,

00:19:36.040 and they put twice the money

00:19:37.680 of the next biggest lobbyist,

00:19:39.800 which is oil and gas.

00:19:41.700 They're notoriously corrupt.

00:19:43.160 The four companies

00:19:44.340 that make all 72 of the vaccines

00:19:48.180 that are now mandated for our children,

00:19:49.980 every one of them is a convicted felon.

00:19:52.680 In the last 10 years,

00:19:54.200 those four companies,

00:19:55.300 Sanofi, Merck, Pfizer, and Glaxo,

00:19:58.240 have paid $35 billion

00:20:00.200 in penalties and damages

00:20:02.540 and, you know,

00:20:03.820 the civil penalties

00:20:04.620 for falsifying science

00:20:06.300 or defrauding regulators

00:20:08.720 for lying to doctors

00:20:11.200 and manipulating

00:20:12.740 and bribing

00:20:13.640 and blackmailing,

00:20:14.420 et cetera,

00:20:14.880 and for killing 0.73

00:20:15.800 hundreds of thousands of people.

00:20:18.580 Vioxx alone,

00:20:19.480 which is Merck's product,

00:20:20.340 Merck is the biggest vaccine maker

00:20:21.900 in our country.

00:20:22.840 It had another flagship product.

00:20:24.840 Now it's the Gartasil vaccine,

00:20:26.200 but back then it was Vioxx.

00:20:29.320 Vioxx killed

00:20:30.800 between 120,000

00:20:32.780 and 500,000 Americans

00:20:34.340 in between 2002

00:20:36.580 and 2007,

00:20:37.980 2006.

00:20:40.080 And it was a pill

00:20:43.640 and Merck marketed it

00:20:45.660 as a headache pill

00:20:46.580 that Merck knew

00:20:47.820 caused heart attacks.

00:20:50.060 How did it know it?

00:20:50.940 It knew it from its clinical data

00:20:52.340 because it killed a lot of people

00:20:53.760 during the clinical trials

00:20:54.960 and Merck's,

00:20:56.760 when we sued Merck,

00:20:58.680 there,

00:20:59.220 we got documents

00:21:00.900 that were these flow charts

00:21:02.520 from their,

00:21:03.280 from their bean counters

00:21:06.180 that said,

00:21:07.160 we are going to kill

00:21:07.860 a certain amount,

00:21:08.660 number of people,

00:21:10.520 but we will still make more money

00:21:12.280 even if we have to pay damages

00:21:13.800 to all the people we kill.

00:21:15.360 So we should go ahead

00:21:16.220 and do this.

00:21:16.880 So, you know,

00:21:17.420 which is,

00:21:18.080 is justifiably more,

00:21:20.500 morally justifiably

00:21:21.760 if you tell the people

00:21:23.100 when you take this pill

00:21:25.440 or your headache

00:21:26.520 or your arthritis,

00:21:27.860 it may kill you

00:21:28.740 and you're okay

00:21:30.120 because you warned them.

00:21:32.060 Merck didn't warn them.

00:21:33.240 It hid that fact.

00:21:34.640 And most of the people

00:21:35.740 who die,

00:21:37.460 probably,

00:21:38.260 if they knew this

00:21:39.400 could have killed them

00:21:40.020 from a heart attack,

00:21:41.280 they probably would have

00:21:42.040 taken an aspirin.

00:21:43.620 Merck didn't give them

00:21:44.720 that choice.

00:21:45.680 It lied to them.

00:21:47.400 How are we,

00:21:48.340 doesn't it require

00:21:50.280 a kind of cognitive dissonance

00:21:52.120 to believe

00:21:54.760 that the company

00:21:55.540 that would kill 0.80

00:21:56.700 half a million people

00:21:58.000 to make a buck on Vioxx

00:22:00.680 suddenly has found Jesus

00:22:03.300 when it comes to vaccines,

00:22:04.820 which, by the way,

00:22:06.360 is the only place

00:22:07.220 they can never get caught

00:22:08.220 because, you know,

00:22:10.020 all of those other drugs

00:22:11.340 that they got caught for,

00:22:13.280 the way they got caught

00:22:14.740 was that private attorneys,

00:22:18.160 plaintiff's attorneys,

00:22:19.440 representing injured clients,

00:22:22.380 sued the company,

00:22:23.340 Merck or Sanofi

00:22:24.120 or Wyatt or whatever,

00:22:25.120 Pfizer or whatever,

00:22:26.480 and in the course of discovery,

00:22:29.720 came across documents

00:22:30.920 that showed criminal behavior.

00:22:34.720 They took those documents,

00:22:36.080 they brought them down

00:22:36.820 to the U.S. attorney's office

00:22:38.180 and they said to the U.S. attorney,

00:22:40.140 you need to prosecute

00:22:41.220 this company for criminal acts.

00:22:43.360 That's how they got busted.

00:22:45.520 Well, that will never happen

00:22:46.700 with vaccines

00:22:47.500 because there are no losses.

00:22:49.580 There is no liability.

00:22:50.980 They can do anything

00:22:51.860 they want to you

00:22:52.980 and there are no consequences.

00:22:56.140 And by the way,

00:22:56.980 it's not only that

00:22:57.820 there are no consequences,

00:23:00.200 there are good consequences

00:23:01.980 for them from injuring you

00:23:04.120 because this explosion

00:23:07.760 in chronic disease epidemics

00:23:10.120 has made those companies,

00:23:11.920 the richest companies

00:23:12.920 in the world.

00:23:15.160 Oh, the same companies

00:23:18.420 that are selling you

00:23:19.420 that measles drug

00:23:20.900 are now selling

00:23:21.940 and the hepatitis B

00:23:24.220 and the DTaP

00:23:25.040 and the HIP vaccines

00:23:26.080 and that vaccine

00:23:27.980 is giving you seizures

00:23:29.400 or epilepsy

00:23:30.420 or autism

00:23:31.740 or food allergies

00:23:33.560 or asthma.

00:23:35.680 That same company

00:23:37.060 is now selling your child

00:23:39.440 who is sick for life

00:23:40.900 the albuterol inhalers,

00:23:44.020 the COVID inhalers,

00:23:46.020 the Adderall,

00:23:48.220 the Ritalin,

00:23:49.240 the Concerta,

00:23:51.460 the anti-seizure medication,

00:23:54.340 the diabetes drugs,

00:23:55.740 the rheumatoid arthritis drugs.

00:23:57.680 These companies are making

00:23:59.840 $50 billion a year

00:24:01.620 selling vaccines,

00:24:02.700 mandatory vaccines,

00:24:04.260 and then they're making

00:24:05.660 $500 billion a year

00:24:07.800 selling the treatments

00:24:09.820 for the chronic diseases

00:24:11.040 that are being caused

00:24:12.080 by those vaccines.

00:24:13.240 There is not only

00:24:14.600 no incentive for them

00:24:15.680 to make it safe,

00:24:16.580 there's actually an incentive

00:24:18.200 for them to make those

00:24:19.560 vaccines as dangerous

00:24:21.380 as possible.

00:24:22.220 They have monopoly control,

00:24:23.460 there's no competition.

00:24:25.360 Everybody's told,

00:24:26.400 you take this

00:24:27.060 Merck's hepatitis B shot.

00:24:30.100 You take Merck's MMR,

00:24:31.600 there is no other MMR to take.

00:24:33.540 Let me ask you this,

00:24:34.460 you said your party,

00:24:35.700 just for full disclosure,

00:24:36.920 you're still a Democrat,

00:24:38.020 you haven't left the party.

00:24:39.300 No, I'm still a Democrat,

00:24:40.700 but I'm really angry about this.

00:24:42.800 Why?

00:24:43.580 The one party that has this wrong

00:24:45.580 is the Democratic Party.

00:24:47.220 Well, I'm not going to say

00:24:48.600 blame it completely

00:24:49.420 on the Democrats

00:24:50.080 because,

00:24:51.460 in fact,

00:24:52.060 the parties have gone

00:24:52.960 back and forth on this.

00:24:54.140 issue,

00:24:54.700 and when they,

00:24:56.380 we have,

00:24:56.860 you know,

00:24:57.160 Reagan signed the law

00:24:58.440 into effect,

00:25:00.560 and I'm not blaming Reagan,

00:25:02.660 you know,

00:25:03.080 because I think Reagan

00:25:05.180 was probably trying

00:25:05.980 to do something good,

00:25:07.220 and the Democrats

00:25:08.040 who voted for it

00:25:09.000 all believe

00:25:11.360 that this law

00:25:12.840 would somehow

00:25:13.920 make it easier

00:25:15.940 for people to recover

00:25:17.140 injuries,

00:25:18.900 from injuries quickly,

00:25:20.060 and that they would keep people,

00:25:21.600 you know,

00:25:21.820 from getting sick.

00:25:22.580 They didn't know

00:25:23.160 what I know today

00:25:24.440 about vaccines.

00:25:25.580 So,

00:25:26.500 but when we had

00:25:27.460 the Supreme Court case,

00:25:29.160 which,

00:25:29.820 you know,

00:25:30.180 extended the liability,

00:25:32.020 complete blanket immunity

00:25:33.340 for all product defect claims

00:25:35.760 to these companies,

00:25:37.900 it was the Republicans

00:25:39.400 on the Supreme Court

00:25:41.240 that voted to do that,

00:25:43.620 and it was the Democrats,

00:25:45.460 you know,

00:25:45.660 particularly Sotomayor

00:25:47.180 and Ruth Bader Ginsburg, 1.00

00:25:48.780 who wrote these,

00:25:50.240 you know,

00:25:50.740 infuriated dissents,

00:25:52.540 saying,

00:25:52.900 this is,

00:25:53.700 you are unleashing

00:25:54.800 the devil here,

00:25:56.320 and that's exactly

00:25:57.300 what happened.

00:25:57.960 And then,

00:25:59.240 what's happened

00:26:01.360 on Capitol Hill

00:26:03.880 and in Congress,

00:26:05.360 the Republicans

00:26:05.920 are as bad

00:26:06.620 as the Democrats.

00:26:07.560 Everybody's scared

00:26:08.300 of this issue.

00:26:09.800 On the state legislatures,

00:26:12.340 the Republicans

00:26:12.960 have been fantastic,

00:26:14.600 and they are the ones

00:26:15.720 that have stopped

00:26:16.640 the pharmaceutical companies,

00:26:18.320 but once they get up

00:26:19.360 into the higher office,

00:26:21.600 where pharma

00:26:22.200 has more control,

00:26:23.640 you know,

00:26:23.840 we can't get hearings

00:26:24.920 from them,

00:26:25.860 we can't get anything

00:26:26.720 out of either party.

00:26:28.480 The reason why I ask

00:26:29.500 this is the following reason.

00:26:30.480 So for me,

00:26:31.800 in my family,

00:26:32.800 I'm married,

00:26:33.400 I have three kids,

00:26:34.160 I was in the military,

00:26:35.060 so you know,

00:26:35.460 when you're in the military,

00:26:36.180 you take a bunch of shots.

00:26:37.300 I took 11 shots

00:26:38.300 when I joined the Army,

00:26:39.260 and they said,

00:26:39.680 you're government property.

00:26:40.680 Something may happen,

00:26:41.520 but we're testing.

00:26:43.520 I have offices nationwide,

00:26:44.900 and I talk to a lot

00:26:45.860 of my executives,

00:26:46.660 and a lot of them

00:26:47.200 are from California.

00:26:48.080 In California,

00:26:48.540 they're not comfortable

00:26:49.360 about vaccines,

00:26:49.960 so they'll say,

00:26:51.000 I'm anti-vaccine,

00:26:52.120 I'm pro-vaccine,

00:26:53.100 but there's a lot of people

00:26:54.220 that are in the middle.

00:26:56.040 And the people

00:26:56.820 I'd want to focus on

00:26:57.820 is the folks

00:26:58.400 that are willing

00:27:00.000 to be educated

00:27:03.360 to consider

00:27:04.120 different positions.

00:27:05.360 I'm speaking to my wife,

00:27:06.720 and my wife last night,

00:27:07.640 we stayed up last night late,

00:27:09.240 watching all these

00:27:10.300 different documentaries,

00:27:11.380 these articles,

00:27:12.320 and you know,

00:27:12.660 once you get into

00:27:13.220 this conversation

00:27:13.980 of anti-vaccine

00:27:14.700 and pro-vaccine,

00:27:15.280 there's a lot you can read.

00:27:16.340 There's enough content

00:27:17.660 to go through.

00:27:18.620 And she says,

00:27:19.140 well, babe,

00:27:19.520 this is starting to make sense,

00:27:20.600 and that's starting to make sense,

00:27:21.460 and what about this?

00:27:22.140 And it kept going and going.

00:27:23.820 You know,

00:27:24.480 to those who are in the middle,

00:27:26.220 when you talk about Democrats,

00:27:27.500 and I said,

00:27:28.120 you know,

00:27:28.440 why are Democrats not again?

00:27:29.760 I think a lot of people

00:27:30.980 do have an issue

00:27:32.180 with Big Pharma.

00:27:32.920 This is some stats

00:27:33.620 that I pulled up,

00:27:35.040 is Big Pharma

00:27:36.840 that's advertised

00:27:37.720 six billion dollars

00:27:39.140 of TV last year.

00:27:40.640 When it comes down

00:27:41.460 to lobby

00:27:41.920 and you were given

00:27:42.540 the data,

00:27:43.020 they're number one.

00:27:44.080 Number one was Big Pharma

00:27:45.120 by a mile

00:27:45.860 at 280 million.

00:27:48.560 Insurance was second,

00:27:50.200 then electronic manufacturing,

00:27:51.580 then business associations,

00:27:52.920 then oil and gas,

00:27:53.760 then electronic,

00:27:54.380 then real estate.

00:27:55.820 And then I went

00:27:56.560 a little bit deeper.

00:27:57.200 I said,

00:27:57.340 let me see what's happening

00:27:57.960 with cost.

00:27:59.080 And you see that

00:28:00.060 based on a study done

00:28:01.560 by an independent research group

00:28:03.600 funded by the fourth

00:28:04.460 health insurance companies,

00:28:05.580 four health insurance companies,

00:28:07.120 type 1 diabetes spent

00:28:08.380 on average

00:28:08.900 $5,700 per person

00:28:10.320 on insulin in 2016

00:28:11.640 versus 2841 in 2012.

00:28:14.640 That's nearly a 100% growth

00:28:16.960 in only four years.

00:28:17.960 And 3,400 drugs boosted

00:28:20.800 their pricing for the first

00:28:22.740 six months of 2019,

00:28:24.080 17% increase in the number

00:28:26.040 of drug hikes from a year earlier.

00:28:28.820 And the average price hike

00:28:30.420 is 10.5%.

00:28:31.460 That's five times inflation.

00:28:33.700 So when I watch debates,

00:28:35.500 you don't see the left

00:28:37.560 and the right being too off

00:28:38.880 when it comes down

00:28:39.560 to Big Pharma abusing them.

00:28:41.180 So who is holding them accountable

00:28:43.700 to be able to constantly bully?

00:28:45.080 You point out

00:28:46.560 the first thing you said

00:28:48.500 is really kind of

00:28:50.200 the root of the problem,

00:28:51.620 which is in,

00:28:52.680 I think it was 1996,

00:28:55.880 FDA adopted a new rule.

00:28:58.920 It was illegal in this country

00:29:00.700 for pharmaceutical companies

00:29:02.380 to advertise drugs

00:29:03.940 direct to consumer.

00:29:04.900 In other words,

00:29:05.360 to advertise on TV.

00:29:08.560 And then FDA changed that rule.

00:29:12.100 So there's only two countries

00:29:13.360 in the world

00:29:13.820 that allow pharmaceutical companies

00:29:16.540 to advertise on TV.

00:29:17.900 And New Zealand is one

00:29:18.940 and we're the others.

00:29:19.900 And we have,

00:29:20.940 as a result of that,

00:29:22.000 we have the highest drug prices

00:29:23.300 and we have the most drugs.

00:29:24.940 I think nine out of every $10

00:29:26.560 in the world

00:29:29.260 spent on pharmaceutical drugs

00:29:31.200 is spent in this country.

00:29:32.780 So we're, you know,

00:29:33.680 we, it's not a good thing

00:29:35.680 for public health.

00:29:36.480 And by the way,

00:29:37.820 the third leading cause

00:29:40.180 of death in this country

00:29:41.440 is pharmaceutical drugs.

00:29:44.400 So they're not making us healthier.

00:29:46.380 We have the most aggressive

00:29:48.900 vaccine schedule

00:29:50.560 in the world

00:29:51.200 in this country

00:29:52.040 and we have the worst health

00:29:53.700 in our children and adults.

00:29:56.420 Oh, we have the worst

00:29:57.820 infant mortality.

00:29:59.160 We have,

00:29:59.460 if you look at any

00:30:00.340 of the metrics,

00:30:01.260 the US,

00:30:02.020 I think it's 72

00:30:03.100 in infant mortality

00:30:04.840 in the world.

00:30:05.460 We're around Syria

00:30:06.360 and Costa Rica.

00:30:08.580 And when I was a kid,

00:30:09.940 we were number one

00:30:10.840 on all of those.

00:30:11.820 We were the best,

00:30:13.080 we were the healthiest people

00:30:13.940 in the world,

00:30:14.400 the best healthcare system.

00:30:16.440 Today we get,

00:30:17.700 you know,

00:30:17.960 we're paying the most money

00:30:19.060 for the worst outcomes

00:30:20.100 and a lot of that

00:30:20.880 is because

00:30:21.800 pharmaceutical advertisements

00:30:24.480 not only do they

00:30:26.140 advertise on TV,

00:30:27.320 but they control content.

00:30:29.880 Oh, you know,

00:30:32.000 Anderson Cooper

00:30:32.780 is sponsored by Pfizer.

00:30:34.060 Aaron Burnett

00:30:36.460 is sponsored by Pfizer.

00:30:38.980 The NBC Nightly News

00:30:40.860 is sponsored by Merck.

00:30:43.760 And Roger Ailes told me,

00:30:47.040 you know,

00:30:47.320 Roger Ailes,

00:30:48.460 who I knew very well,

00:30:50.440 and it was the founder

00:30:51.800 of Fox News.

00:30:53.520 I didn't agree

00:30:54.400 with him politically,

00:30:55.580 but we were friends.

00:30:57.040 We spent a couple months

00:30:58.240 together in a tent.

00:30:59.380 I was 18 years old

00:31:00.860 in Africa.

00:31:01.480 I had this,

00:31:02.800 you know,

00:31:03.080 good relationship with him.

00:31:05.660 And he understood

00:31:07.380 the issue of vaccine injury

00:31:09.240 from,

00:31:09.820 he had a personal experience

00:31:11.340 with vaccine injury

00:31:12.320 where a kid

00:31:14.180 who was close to him

00:31:15.360 was injured.

00:31:16.600 And so he knew

00:31:17.740 it was true.

00:31:18.840 And we,

00:31:19.400 I had made,

00:31:20.060 I helped make a film,

00:31:22.320 a documentary about it

00:31:23.820 a couple of years

00:31:24.920 before he died,

00:31:25.860 when he was still

00:31:26.320 at the height of his powers.

00:31:28.540 And I asked him,

00:31:30.040 you know,

00:31:30.320 can I come on,

00:31:31.600 I didn't want to play it

00:31:32.540 on Fox,

00:31:33.200 but I wanted to come on Fox

00:31:34.360 and talk about it.

00:31:36.180 And he said,

00:31:36.560 I can't let you do that.

00:31:37.740 And he said,

00:31:38.220 in fact,

00:31:38.680 if any of my hosts

00:31:40.020 allowed you on their show,

00:31:42.200 I'd have to fire them.

00:31:43.180 And if I didn't,

00:31:44.780 I would get a call

00:31:46.060 from Rupert

00:31:46.700 within 10 minutes.

00:31:48.600 Rupert Murdoch,

00:31:49.620 who owns Fox,

00:31:50.800 also owns

00:31:51.740 one of the biggest

00:31:52.340 vaccine companies

00:31:53.360 in the world

00:31:53.840 and has been

00:31:55.040 one of the big

00:31:55.700 promoters of it.

00:31:57.060 But what Roger told me

00:31:58.900 then,

00:31:59.240 he said,

00:31:59.820 he said,

00:32:00.500 during non-election years,

00:32:03.300 during certain parts

00:32:04.540 of the year,

00:32:05.580 70% of our advertising

00:32:07.980 revenue for evening news

00:32:09.440 shows

00:32:09.920 is coming from pharma.

00:32:12.200 And he said,

00:32:14.480 typically there's

00:32:15.180 about 22 ads

00:32:16.440 on an evening news

00:32:17.620 and 17 of those

00:32:18.820 are pharmaceutical ads.

00:32:20.640 That's why you see

00:32:21.860 these aggressive

00:32:23.020 promotions of vaccines

00:32:24.420 all the time.

00:32:25.280 You're constantly

00:32:26.160 being told,

00:32:28.100 it's flu season,

00:32:29.120 get your vaccine

00:32:29.920 because they're

00:32:30.360 selling the products

00:32:31.480 not just during

00:32:32.460 the advertising

00:32:33.000 section of the show,

00:32:34.240 but they're selling

00:32:34.880 the products

00:32:35.360 during the entire show.

00:32:37.580 And get your measles

00:32:38.800 and then,

00:32:39.420 you know,

00:32:39.660 this inflating,

00:32:40.880 the terror of flu,

00:32:42.820 the terror of measles,

00:32:44.240 the terror of,

00:32:45.140 you know,

00:32:45.480 coronavirus,

00:32:46.460 which are constant themes

00:32:47.900 which bring them

00:32:48.980 in viewers,

00:32:50.500 but also sell,

00:32:51.940 you know,

00:32:52.140 medical products

00:32:53.060 which is what

00:32:53.680 their advertiser

00:32:54.500 is trying to sell.

00:32:55.360 And those companies,

00:32:57.500 you know,

00:32:57.800 CNN and those other

00:33:00.380 companies

00:33:00.820 have been utterly

00:33:01.520 compromised.

00:33:02.420 They're not asking

00:33:03.400 the questions

00:33:04.040 of government officials

00:33:05.220 that they need

00:33:05.960 to be asking.

00:33:07.040 And they're giving,

00:33:07.800 you know,

00:33:08.020 they're bowing down

00:33:08.860 and genuflecting 0.95

00:33:09.780 to Anthony Fauci

00:33:10.880 who has a very

00:33:13.160 well-documented

00:33:14.300 and very checkerty

00:33:16.080 history of telling

00:33:17.900 the truth,

00:33:18.820 of not telling

00:33:19.420 the truth,

00:33:20.160 of abusing

00:33:21.420 his power

00:33:22.200 and of,

00:33:24.420 you know,

00:33:24.860 resulting

00:33:25.360 and of doing

00:33:26.380 really sinister

00:33:27.340 things like

00:33:28.100 hiding the

00:33:29.220 leukemia virus

00:33:30.240 that is known

00:33:31.380 to be in three

00:33:32.500 of our large

00:33:33.080 vaccines that we

00:33:34.000 know causes cancer.

00:33:35.020 And he's hidden

00:33:37.100 that from the

00:33:37.580 American people.

00:33:38.660 He fired the

00:33:40.440 number one

00:33:41.220 scientist at NIH

00:33:42.620 when her studies

00:33:43.740 showed that those

00:33:45.620 vaccines were

00:33:46.340 contaminated.

00:33:46.880 And he also,

00:33:51.280 he was,

00:33:52.160 Judy Mikovits,

00:33:53.020 who worked

00:33:53.600 for the agency,

00:33:55.320 was on the team

00:33:57.160 that identified

00:33:58.380 the HIV vaccine,

00:34:00.280 or HIV virus,

00:34:01.520 and connected it

00:34:02.180 to AIDS.

00:34:02.960 And he kept

00:34:03.660 that secret

00:34:04.340 for six months

00:34:05.240 that he could get

00:34:07.160 one of his cronies

00:34:08.120 to make the publication.

00:34:09.340 But that resulted

00:34:10.280 in many,

00:34:11.240 many people

00:34:11.800 getting AIDS

00:34:12.580 because the test

00:34:13.280 was delayed

00:34:14.100 by six months.

00:34:14.980 And those things

00:34:16.960 are, you know,

00:34:18.440 are really black spots

00:34:19.660 on Tony Fauci's record.

00:34:21.760 And to turn

00:34:22.600 our entire nation

00:34:23.840 over to Tony Fauci

00:34:26.740 with this unquestioned

00:34:28.260 reverence

00:34:28.980 and the constant,

00:34:30.300 you know,

00:34:30.780 genuflecting to him,

00:34:31.860 I think is something

00:34:32.740 that is not healthy

00:34:34.360 for our country.

00:34:35.300 And it's really

00:34:36.240 kind of sickening

00:34:37.280 to see,

00:34:38.880 to watch the news division.

00:34:40.560 These people

00:34:40.960 are supposed

00:34:41.380 to be reporters

00:34:42.200 doing the exact

00:34:43.400 same thing

00:34:43.960 that they did

00:34:44.480 during the Iraq war,

00:34:45.680 which is that,

00:34:46.700 you know,

00:34:46.940 what reporters

00:34:47.900 are not supposed

00:34:48.660 to take the word

00:34:50.540 of government officials.

00:34:51.960 My father told me

00:34:53.020 when I was a kid,

00:34:55.140 people in power lie.

00:34:57.240 The job of a reporter

00:34:58.180 is constant skepticism,

00:35:00.200 constant scrutiny,

00:35:01.680 and to ask

00:35:02.480 the difficult questions.

00:35:03.540 And that simply

00:35:04.200 is not happening.

00:35:05.880 Wow.

00:35:06.480 Wow.

00:35:06.820 Yeah,

00:35:06.960 I have the article

00:35:07.600 right here

00:35:07.980 where you said,

00:35:08.840 well,

00:35:09.600 Robert F. Kennedy Jr.

00:35:11.380 warns Anthony Fauci

00:35:12.360 is a fraud

00:35:12.940 and has poisoned

00:35:13.620 an entire generation

00:35:14.520 of Americans.

00:35:15.040 This was just 10 days

00:35:15.900 ago,

00:35:16.080 April 20th.

00:35:17.040 So let's just say

00:35:18.240 you were a reporter.

00:35:19.320 Say Robert F. Kennedy Jr.,

00:35:21.400 instead of wanting

00:35:22.180 to go into environmental law,

00:35:24.040 you have a conversation

00:35:24.820 and you decide,

00:35:26.360 you know,

00:35:26.860 I think I want

00:35:28.020 to go be a reporter.

00:35:29.100 If you're a reporter today,

00:35:30.960 if you're a reporter today,

00:35:32.180 and you're interviewing

00:35:33.180 Dr. Anthony Fauci,

00:35:34.780 what questions

00:35:35.620 would you be asking?

00:35:36.380 I would be saying,

00:35:39.280 I mean,

00:35:39.540 number one,

00:35:40.580 why are we skipping

00:35:42.680 animal studies

00:35:43.600 with these vaccines?

00:35:44.840 We know the history

00:35:45.640 of the coronavirus vaccine.

00:35:47.340 Coronavirus vaccines

00:35:48.600 in the past

00:35:49.840 have shown themselves

00:35:50.740 to be very,

00:35:51.480 very dangerous vaccines,

00:35:52.980 very volatile vaccines.

00:35:55.360 And I'll explain

00:35:56.460 to you why that's so.

00:35:59.300 In 2002,

00:36:01.600 beginning in 2002,

00:36:02.840 there were three SARS epidemics,

00:36:04.780 and these are,

00:36:07.300 SARS is a coronavirus.

00:36:10.200 And what the first of those

00:36:12.380 was a natural occurring coronavirus

00:36:15.220 that jumped from bats

00:36:17.180 in China to human beings.

00:36:20.800 The second two

00:36:21.940 were lab-created coronavirus 0.84

00:36:24.360 vaccines,

00:36:25.200 coronaviruses

00:36:26.480 that escaped from the lab

00:36:28.400 and caused these epidemics.

00:36:29.880 And that's non-controversial.

00:36:31.340 Everybody, you know,

00:36:32.600 agrees with that.

00:36:34.780 But there was deep concern

00:36:37.220 about the transmissibility

00:36:39.300 and the virulence

00:36:40.240 of coronavirus

00:36:40.900 and its capacity

00:36:42.060 to jump from animals

00:36:43.020 to human beings.

00:36:44.800 So all the major nations,

00:36:47.200 Western nations,

00:36:48.080 and China got together

00:36:49.240 in the,

00:36:50.780 between 2006 and 2012

00:36:53.780 to create coronavirus vaccines.

00:36:57.080 They created about 30 vaccines

00:36:58.920 and they chose

00:37:00.260 the four most promising ones.

00:37:01.940 This is a consortium

00:37:02.920 of the best scientists,

00:37:04.360 virologists,

00:37:05.160 and immunologists in the world.

00:37:07.440 They gave those four vaccines

00:37:09.520 to ferrets.

00:37:10.440 And ferrets are the closest analogy

00:37:12.120 when it comes to upper respiratory infections

00:37:14.160 to human beings.

00:37:15.120 They're heavily utilized

00:37:16.860 to study coronavirus.

00:37:17.920 Ferrets had an excellent

00:37:22.560 immune response

00:37:24.820 to the vaccines,

00:37:25.800 meaning they developed antibodies.

00:37:27.800 And that's the metric

00:37:29.000 that FDA uses

00:37:30.580 when it licenses a vaccine.

00:37:33.080 It just looks and says,

00:37:34.360 is it producing antibody?

00:37:35.480 Vaccines are never tested

00:37:36.620 in the field, Patrick.

00:37:37.760 Nobody ever gives

00:37:38.820 5,000 people a vaccine

00:37:41.580 and 5,000 people no vaccine

00:37:43.040 and then sends them out

00:37:44.220 and sees what happens.

00:37:45.500 That's not how

00:37:46.280 they get licensed.

00:37:47.940 They get licensed

00:37:49.020 by showing

00:37:49.880 that they can produce antibodies.

00:37:51.500 And the presumption is

00:37:52.540 that that antibody

00:37:53.440 will defend you

00:37:54.520 against future attacks

00:37:56.220 by that virus.

00:37:59.140 And so they,

00:38:00.420 the ferrets developed

00:38:02.580 a really good antibody response

00:38:04.400 and they thought

00:38:05.160 they had four winners here.

00:38:07.520 But,

00:38:08.680 and something really frightening

00:38:10.300 happened.

00:38:11.100 When those ferrets

00:38:12.120 were exposed

00:38:12.780 to the wild virus,

00:38:14.520 they had developed

00:38:16.320 horrible inflammation

00:38:19.120 throughout all the organs

00:38:20.260 on their bodies

00:38:21.020 and they died.

00:38:23.440 Particularly in their lungs

00:38:24.800 and they died.

00:38:27.080 And then those scientists

00:38:28.120 remembered

00:38:28.740 that the same thing

00:38:30.820 had happened

00:38:31.280 when they had tried

00:38:32.400 an RSV vaccine

00:38:34.040 in the 1960s

00:38:35.660 on children.

00:38:37.500 They had an RSV

00:38:38.320 that was very similar

00:38:39.080 to coronavirus,

00:38:40.100 upper respiratory infection

00:38:41.360 and they had given it

00:38:42.380 to about,

00:38:43.120 they skipped animal studies.

00:38:44.940 They gave it to

00:38:45.780 35 kids

00:38:48.040 and it was an excellent immune,

00:38:49.860 provoked excellent immune response.

00:38:51.920 But then when those kids

00:38:53.220 were exposed

00:38:53.720 to the wild virus,

00:38:54.980 they became horribly sick

00:38:56.520 and two of them died

00:38:57.860 and they immediately

00:38:58.980 discontinued that study

00:39:00.340 and it was a scandal.

00:39:01.980 Everybody remembered it

00:39:03.040 and they were in 2012

00:39:05.380 and they were testing

00:39:07.700 all of these vaccines.

00:39:09.420 They said to themselves

00:39:10.460 on ferrets,

00:39:11.380 they said,

00:39:11.840 this is what happened

00:39:12.880 to those children.

00:39:14.460 We tried it out

00:39:15.420 and they developed

00:39:16.120 antibody response

00:39:17.100 but then they had

00:39:17.900 what we call

00:39:18.440 paradoxical immune enhancement.

00:39:20.600 Now when they were exposed

00:39:21.580 to the real virus,

00:39:23.420 instead of protecting against it,

00:39:25.840 it actually enhanced it

00:39:27.200 and it made it much more deadly.

00:39:29.620 And then they connected it

00:39:30.920 in 2014

00:39:31.940 to the dengue vaccine,

00:39:33.920 which was one of

00:39:34.620 Tony Fauci's vaccines,

00:39:37.160 which had a lot

00:39:37.940 of those same red flags

00:39:39.840 during the clinical trials,

00:39:42.440 but they gave it

00:39:43.440 to the Filipinos anyway.

00:39:45.240 The Philippines gave it

00:39:46.740 to hundreds of thousands

00:39:47.620 of kids.

00:39:49.240 The kids were great,

00:39:50.740 great immune response

00:39:51.960 and then when they were

00:39:52.920 exposed to the wild virus,

00:39:54.480 they died,

00:39:54.980 600 of them died.

00:39:56.340 And the Philippine government

00:39:57.280 today is prosecuting criminally

00:39:59.200 and putting people

00:39:59.980 in jail for that

00:40:00.840 because they knew it.

00:40:02.400 They knew something bad

00:40:03.460 was going to happen

00:40:04.120 from the clinical trials.

00:40:06.540 And so this is something

00:40:10.620 that is a unique peculiarity

00:40:12.660 of coronavirus.

00:40:14.840 And it's puzzling

00:40:16.820 that Tony Fauci

00:40:17.860 on his own vaccine,

00:40:19.260 the Moderna vaccine,

00:40:20.240 which he, you know,

00:40:21.100 his agency owns 50%

00:40:23.020 of that vaccine,

00:40:23.900 and they went right

00:40:26.020 to human testing

00:40:26.900 without testing on animals.

00:40:28.540 And that just seems

00:40:29.420 almost criminally irresponsible.

00:40:32.040 And he's allowing

00:40:32.780 the same thing.

00:40:34.680 Oh, I would ask him,

00:40:36.120 knowing that history,

00:40:37.800 and by the way,

00:40:39.800 it's not just me saying this.

00:40:41.440 All the people

00:40:42.080 who have criticized me

00:40:43.220 for my stance on vaccines

00:40:44.540 for many years,

00:40:45.460 the leaders like Peter Hotez,

00:40:47.960 Paul Offit,

00:40:48.940 and Ian Lipkin

00:40:49.640 are all saying

00:40:50.320 the same thing

00:40:50.960 that I'm saying

00:40:51.600 to you right now.

00:40:52.420 You have to be really,

00:40:54.700 really careful

00:40:55.400 with the coronavirus vaccine.

00:40:57.800 The reason is

00:40:58.680 that vaccines develop

00:41:01.680 an immune response,

00:41:06.840 but they develop

00:41:09.180 different kinds.

00:41:09.980 There are two different

00:41:10.680 kinds of antibodies,

00:41:11.740 and this is what they found

00:41:12.520 out from this process.

00:41:14.640 There's neutralizing antibodies

00:41:16.240 which you want

00:41:17.220 your body to produce,

00:41:18.700 and that guards you

00:41:19.560 against the disease.

00:41:20.560 Those are good antibodies.

00:41:22.820 They also produce

00:41:24.060 a specific species

00:41:25.440 of antibodies

00:41:26.240 called blinding antibodies,

00:41:29.720 and those are the ones

00:41:30.880 that provoke

00:41:31.580 that enhanced immune response

00:41:34.180 once you're exposed

00:41:35.420 to the vaccine,

00:41:36.480 and you have to figure out

00:41:37.720 which one of those

00:41:39.600 you're actually producing.

00:41:41.200 And it's unclear

00:41:42.240 that the way you do that

00:41:44.920 is by testing it on animals.

00:41:46.120 And they're not doing that

00:41:48.680 in this case.

00:41:49.440 The other thing

00:41:50.040 that they're not doing

00:41:50.760 is they're not using

00:41:51.680 placebo testing,

00:41:53.240 which means nobody

00:41:54.840 will ever know

00:41:56.060 what the risk profile

00:41:57.520 is for those products.

00:41:59.580 If you don't test

00:42:00.780 against placebo,

00:42:02.520 you don't know

00:42:04.240 whether the people

00:42:05.140 who became ill

00:42:06.320 in that cohort

00:42:07.220 that received the vaccine

00:42:08.280 became ill

00:42:08.880 because of the vaccine,

00:42:10.760 or it's just coincidental.

00:42:12.840 There's no way to know,

00:42:14.280 and so they don't even record it.

00:42:16.460 And it immediately

00:42:20.080 creates opportunities

00:42:21.920 for bias,

00:42:23.040 for corruption,

00:42:23.920 and for cheating

00:42:24.420 if you do not use placebo.

00:42:26.260 And that's why

00:42:26.760 the World Health Organization,

00:42:28.120 CDC, FDA, NIH,

00:42:30.060 everybody says

00:42:30.960 if you don't use placebo,

00:42:33.880 it's not science,

00:42:35.280 it's marketing.

00:42:36.820 And that's what

00:42:37.420 they're doing.

00:42:37.940 They're doing all

00:42:38.780 of these tests

00:42:39.580 without using placebo.

00:42:41.940 And I would say

00:42:42.540 to Anthony Fauci,

00:42:44.400 well, why aren't you

00:42:45.380 using a placebo group?

00:42:46.800 Are you scared

00:42:47.700 about what is going

00:42:49.240 to be shown

00:42:49.880 about safety

00:42:50.740 if you actually

00:42:51.960 use a treatment

00:42:52.780 of placebo group?

00:42:53.460 It's completely

00:42:54.040 irresponsible.

00:42:55.420 When you look

00:42:56.540 at the data

00:42:57.080 and the media shows

00:42:58.320 approval rating

00:42:59.540 of Fauci against Trump,

00:43:01.040 and they constantly

00:43:01.580 show that,

00:43:02.100 that America trusts Fauci

00:43:04.340 more than Trump

00:43:05.980 right now,

00:43:06.960 behind closed doors,

00:43:08.320 what is the motivation

00:43:09.520 of Fauci?

00:43:12.040 You know,

00:43:12.500 you have a lot

00:43:13.640 of folks

00:43:14.060 who are watching

00:43:14.560 saying this man

00:43:15.240 seems like

00:43:15.620 a reasonable guy.

00:43:17.940 Fauci has a bias

00:43:19.260 towards vaccines,

00:43:20.560 and he owns

00:43:21.440 the vaccine.

00:43:22.240 So he has the patent.

00:43:23.420 He literally

00:43:24.040 owns vaccine patents.

00:43:25.440 Is it purely profit?

00:43:26.640 Motivation is purely profit?

00:43:27.960 Well, no,

00:43:28.240 I think it's power.

00:43:29.900 And I think the same

00:43:30.640 is true of the case.

00:43:31.440 Both of them

00:43:31.980 actually stand

00:43:33.060 to make huge amounts

00:43:34.040 of money,

00:43:34.820 you know,

00:43:35.340 potentially billions

00:43:36.380 to millions of dollars.

00:43:38.460 But I don't believe,

00:43:39.740 you know,

00:43:39.920 it's very hard

00:43:40.620 to look into

00:43:41.300 another man's brain,

00:43:42.480 and I try not to do that.

00:43:44.600 But just looking at them,

00:43:47.080 I really believe

00:43:48.200 that their motivation

00:43:49.800 is more about power,

00:43:51.640 and there is no

00:43:52.740 more powerful position

00:43:54.160 than being a health official

00:43:55.720 because you can

00:43:56.860 literally dictate.

00:43:58.000 I mean,

00:43:58.220 at this point,

00:43:59.840 Tony Fauci

00:44:00.840 has powers

00:44:02.240 that no American 0.97

00:44:03.140 president has ever had.

00:44:04.600 You know,

00:44:05.120 telling people

00:44:05.720 in California,

00:44:06.640 you can't go to the beach,

00:44:07.880 you can't go in the ocean,

00:44:09.620 you can't go shop,

00:44:11.620 your kids can't go to school,

00:44:13.800 you have to stay

00:44:14.640 in your house.

00:44:16.000 You're going to,

00:44:16.600 you know,

00:44:16.840 two days ago,

00:44:17.760 they were giving

00:44:18.360 $1,000 tickets

00:44:20.560 to people

00:44:21.040 who were swimming

00:44:21.600 in the ocean

00:44:22.220 and surfing.

00:44:23.600 No president's ever

00:44:24.760 had that kind

00:44:25.340 of power before,

00:44:26.060 but today,

00:44:27.000 Fauci,

00:44:27.720 who is very,

00:44:28.480 very close,

00:44:29.200 partners with Gates,

00:44:31.180 are telling America

00:44:31.960 and what they're saying,

00:44:33.140 if you listen carefully,

00:44:34.380 what they're saying is,

00:44:36.420 you all are going

00:44:38.180 to stay in the house

00:44:39.360 until we have a vaccine.

00:44:41.820 It's not going

00:44:42.300 to be safe to come out.

00:44:44.280 And that is

00:44:45.300 a tremendous power

00:44:46.140 to tell people

00:44:46.880 they have to wait

00:44:47.780 and do that

00:44:48.540 until you get the vaccine.

00:44:49.780 Now,

00:44:50.060 you know what,

00:44:50.520 I think

00:44:51.040 there is a struggle

00:44:53.300 between two different ways

00:44:55.040 to handle this quarantine.

00:44:57.880 And nobody,

00:44:59.320 everybody's saying

00:44:59.880 listen to the scientists.

00:45:02.040 But there's a flaw there,

00:45:04.480 which is the scientists

00:45:05.840 can tell you,

00:45:07.420 maybe,

00:45:08.000 can model,

00:45:09.060 they can model

00:45:09.700 how many people

00:45:11.380 are going to die

00:45:12.120 from coronavirus

00:45:13.080 using different scenarios.

00:45:16.700 You know,

00:45:17.440 if we all go back

00:45:19.160 to work tomorrow,

00:45:20.200 here's how many people die.

00:45:22.320 If we all stay

00:45:23.240 locked up for six months,

00:45:24.460 here's how many people.

00:45:25.400 And they can do that

00:45:26.140 probably pretty well.

00:45:28.160 Well,

00:45:28.300 people are saying,

00:45:28.900 listen to the scientists.

00:45:29.880 But there's something

00:45:30.580 that is not being modeled here,

00:45:32.880 which is something

00:45:34.640 that those scientists

00:45:35.740 have no expertise on,

00:45:37.700 which is how many people

00:45:38.940 are being killed

00:45:39.860 by the quarantine.

00:45:41.740 There's really good data

00:45:43.460 that is solid

00:45:45.840 from,

00:45:46.520 you know,

00:45:46.840 dozens and dozens

00:45:47.780 and some studies

00:45:48.560 that show

00:45:50.100 that,

00:45:52.200 number one,

00:45:53.100 isolation kills

00:45:54.340 lots of people.

00:45:56.440 It kills people

00:45:57.160 through depression,

00:45:58.160 it kills people

00:45:58.740 through mistakes,

00:45:59.840 it kills people

00:46:00.500 from not getting,

00:46:01.460 you know,

00:46:01.820 routine medical care.

00:46:04.120 It kills people

00:46:05.200 in a lot of different ways.

00:46:06.260 But also,

00:46:08.120 it,

00:46:08.780 unemployment kills people.

00:46:11.700 So there's a really good

00:46:13.040 1982 book

00:46:14.460 that's considered

00:46:15.180 authoritative.

00:46:17.000 And that book

00:46:17.920 did all of the modeling

00:46:19.140 on,

00:46:19.760 you know,

00:46:20.080 on historical

00:46:20.880 unemployment rates.

00:46:21.940 And this was a long time ago,

00:46:23.120 so our population

00:46:24.120 has almost doubled

00:46:25.380 since then.

00:46:27.060 But what they,

00:46:27.940 that book found

00:46:28.580 is that

00:46:29.060 for every point

00:46:30.520 in unemployment,

00:46:31.700 if there's

00:46:32.160 37,000 people die,

00:46:35.040 about 9,000 people

00:46:36.160 die from heart attacks, 0.73

00:46:37.680 about 900 people

00:46:38.660 die from suicides, 0.81

00:46:39.980 all these different reasons

00:46:41.200 that they die, 0.53

00:46:42.060 and then 3,300 people

00:46:45.480 go to prison

00:46:47.300 every one point,

00:46:48.920 and an extra 4,000 people

00:46:50.360 end up in mental institutions.

00:46:52.860 Oh, we're looking

00:46:53.620 at unemployment rates

00:46:54.660 from this quarantine

00:46:55.500 that are going

00:46:56.780 to exceed 35%.

00:46:58.920 In other words,

00:46:59.660 the increase

00:47:00.880 has gone from 3.5%

00:47:02.860 and it will go to 35%.

00:47:05.480 You multiply

00:47:07.320 37,000 by 30,

00:47:09.980 and you're looking

00:47:10.880 at over a million people,

00:47:12.160 about 1.1 million people

00:47:14.600 who could die

00:47:16.520 from the quarantine,

00:47:17.540 just from that metric.

00:47:19.280 And then there's

00:47:19.700 a lot of other metrics.

00:47:20.720 For example,

00:47:22.560 what do we,

00:47:23.000 you know,

00:47:23.220 we are hurting the,

00:47:25.560 we're disrupting

00:47:26.920 the food,

00:47:28.660 the supply chains

00:47:29.540 for foods

00:47:30.340 and medicines.

00:47:31.640 So people

00:47:32.260 are not going

00:47:32.920 to get their medicines,

00:47:33.860 people are not

00:47:34.320 going to get their foods.

00:47:35.320 this has nothing

00:47:36.560 to do with unemployment.

00:47:38.940 People are also,

00:47:40.280 today,

00:47:40.760 are not seeing doctors

00:47:42.160 for routine medication,

00:47:43.940 for routine treatment.

00:47:45.280 People who have cancer,

00:47:47.140 people who have diabetes,

00:47:49.140 people of hypertension,

00:47:50.540 who are skipping

00:47:51.300 doctor's appointments

00:47:52.300 because of the quarantine.

00:47:54.580 Those people

00:47:55.260 are also at risk.

00:47:56.320 And then there's

00:47:56.980 the impacts

00:47:57.820 on children

00:47:58.400 who aren't going

00:47:59.120 to school.

00:48:00.160 So there's

00:48:00.800 a tremendous amount

00:48:01.940 of impacts

00:48:02.880 that have not

00:48:03.680 been modeled.

00:48:04.600 And if we want

00:48:05.220 to have good public

00:48:06.200 policy in this country,

00:48:08.460 you need to actually

00:48:09.640 do a risk assessment

00:48:10.820 and say,

00:48:11.940 what are the full risks?

00:48:13.520 You know,

00:48:13.720 let's not just look

00:48:15.180 at the coronavirus deaths.

00:48:17.420 Let's look at that,

00:48:18.460 the deaths

00:48:18.860 on the alternative

00:48:19.920 coronavirus,

00:48:20.920 which is quarantine.

00:48:22.760 The Swedes did this 1.00

00:48:24.340 and they said,

00:48:26.180 it's not going to work.

00:48:28.320 And they looked at it

00:48:29.160 and they,

00:48:29.640 you know,

00:48:29.820 the chief epidemiologist

00:48:31.280 of Sweden said,

00:48:32.220 we're going to go

00:48:32.860 back to work

00:48:33.540 and we're not going

00:48:34.020 to have any

00:48:34.360 of these restrictions

00:48:35.160 on, you know,

00:48:37.380 social distancing,

00:48:38.420 et cetera.

00:48:38.880 We're going to protect

00:48:39.780 the elderly.

00:48:41.240 And this is what,

00:48:42.140 you know,

00:48:42.420 I think we all thought

00:48:43.540 was going to happen.

00:48:45.500 We would quarantine

00:48:46.520 for a couple of weeks

00:48:48.140 until the hospitals

00:48:49.280 could gear up,

00:48:50.380 until they could get

00:48:50.960 the beds,

00:48:51.700 they could get

00:48:52.180 the ventilators,

00:48:53.040 they could get

00:48:53.540 the testing kits,

00:48:56.820 they could get

00:48:57.440 the drugs,

00:48:59.140 you know,

00:49:00.000 the various therapeutics,

00:49:02.820 you know,

00:49:03.060 the IVs,

00:49:04.120 the vitamin C treatments,

00:49:05.380 the remsevere,

00:49:06.620 the chloroquine

00:49:07.880 or whatever.

00:49:09.400 And then we would

00:49:10.980 have an avalanche

00:49:12.160 where all the young people

00:49:14.020 who are in good condition

00:49:16.100 and who are not

00:49:16.880 very vulnerable to this

00:49:17.860 would come out

00:49:18.780 and resume life

00:49:19.740 as usual,

00:49:21.120 go to work,

00:49:21.800 go to play.

00:49:23.640 We would keep isolated

00:49:25.540 people who have

00:49:26.640 chronic health conditions

00:49:27.940 and the seniors

00:49:29.660 and elderly

00:49:30.260 because they're vulnerable.

00:49:32.320 And those people,

00:49:33.420 if you could show

00:49:34.040 that you have

00:49:34.440 a chronic health,

00:49:35.240 then we would pay

00:49:36.800 their paychecks

00:49:37.800 and take care of them

00:49:39.060 and keep them isolated

00:49:40.300 until the disease

00:49:42.500 runs through

00:49:43.100 the population

00:49:43.920 and we develop

00:49:45.420 a herd immunity

00:49:46.600 and then they're

00:49:47.580 protected by that.

00:49:49.500 And that,

00:49:50.220 and then also,

00:49:51.220 you know,

00:49:51.420 by that time

00:49:52.100 we have better therapeutics

00:49:53.500 that can really

00:49:54.140 treat this disease.

00:49:55.280 and that would be

00:49:57.180 a plan that would,

00:49:58.700 would not,

00:49:59.920 you know,

00:50:00.300 bankrupt generations

00:50:01.540 of Americans.

00:50:03.240 And,

00:50:03.760 and that's what

00:50:04.440 they're doing in Sweden.

00:50:05.800 And what they say

00:50:06.520 in Sweden is,

00:50:07.200 yes,

00:50:07.580 we do have a spike

00:50:08.900 in death rates

00:50:09.720 compared to Norway,

00:50:11.380 which is quarantine,

00:50:13.920 but a year from now,

00:50:15.720 we're going to have,

00:50:16.380 everybody's going to have

00:50:17.260 the same death rate.

00:50:18.560 Italy,

00:50:19.160 the U.S.,

00:50:20.000 you know,

00:50:20.500 Sweden,

00:50:21.260 everywhere's going to have

00:50:22.020 a year from now,

00:50:23.080 they're going to all

00:50:23.480 have the same death rate.

00:50:25.560 We will still have

00:50:26.360 an economy

00:50:26.880 and you will.

00:50:28.080 And I think

00:50:28.720 that's a risk,

00:50:29.580 you know,

00:50:29.880 that,

00:50:30.280 that is not being assessed.

00:50:32.320 And,

00:50:32.560 you know,

00:50:32.740 there's this

00:50:33.340 effort given to scientists

00:50:35.860 without actually

00:50:37.800 answering the question

00:50:39.260 is,

00:50:39.740 is this scientist

00:50:40.620 equipped to actually

00:50:41.920 give us advice

00:50:42.900 on this issue

00:50:43.660 or should we limit

00:50:45.360 his advice

00:50:46.060 to what his expertise is?

00:50:48.240 Tony Fauci

00:50:48.980 has zero

00:50:50.460 training

00:50:51.860 and zero capacity

00:50:53.700 and has probably

00:50:55.500 never read

00:50:56.160 a single study

00:50:57.340 about the cost

00:50:59.180 of unemployment

00:51:00.360 on public health.

00:51:02.880 He knows about

00:51:03.940 virology

00:51:04.700 and immunology.

00:51:06.940 He doesn't know

00:51:07.560 anything about

00:51:08.140 these other impacts.

00:51:09.200 Why is he calling

00:51:10.120 the shots?

00:51:11.820 Why is he calling

00:51:12.580 the shots?

00:51:13.440 Well,

00:51:13.900 you know,

00:51:14.640 I think that is

00:51:15.720 a combination

00:51:17.800 of things

00:51:18.620 and some of it,

00:51:19.780 a lot of it

00:51:20.360 has to do

00:51:21.060 with the,

00:51:21.740 the incapacity,

00:51:25.440 the,

00:51:25.740 the acquired incapacity

00:51:28.240 of Anderson Cooper

00:51:29.800 and CNN

00:51:32.160 to scrutinize

00:51:36.560 the orthodoxies

00:51:39.000 of the pharmaceutical

00:51:40.340 and medical cartels.

00:51:43.200 They will not ask

00:51:44.280 the questions.

00:51:44.940 And,

00:51:46.160 you know,

00:51:46.620 if they,

00:51:47.160 if Tony Fauci

00:51:47.900 tell them,

00:51:49.440 tell them,

00:51:49.880 a flu shot

00:51:50.660 is good for you,

00:51:51.920 it's proven to work,

00:51:53.280 they will believe that.

00:51:54.100 They won't actually

00:51:54.880 look at the science.

00:51:56.300 And,

00:51:56.520 you know,

00:51:56.700 the Cochran Collaboration,

00:51:59.160 which is the ultimate

00:51:59.940 arbiter on science,

00:52:01.720 the Cochran Collaboration

00:52:03.060 has looked at

00:52:04.140 every published flu study.

00:52:06.680 And what they've said

00:52:07.860 is the flu vaccine

00:52:10.280 does not work.

00:52:11.460 It does not prevent deaths

00:52:13.260 in the elderly.

00:52:14.860 It actually enhances,

00:52:17.520 it makes you more vulnerable

00:52:19.300 to non-flu infections.

00:52:22.100 CNN every year,

00:52:23.280 let me tell you this,

00:52:24.200 Patrick,

00:52:24.660 every year,

00:52:25.480 CNN releases

00:52:27.080 flu death data.

00:52:30.040 And that data

00:52:31.380 is not real data.

00:52:34.080 It's fake data.

00:52:35.540 So,

00:52:36.060 and I'll tell you

00:52:36.860 what they do.

00:52:37.440 the CDC

00:52:39.780 actually does

00:52:41.200 very good

00:52:42.240 data gathering.

00:52:43.600 And it assembles

00:52:44.360 the data

00:52:44.820 on American health

00:52:46.140 and death certificates

00:52:47.320 in an index

00:52:49.360 called the mortality

00:52:50.300 and morbidity data.

00:52:52.220 And if you go

00:52:52.920 to the mortality

00:52:53.540 and morbidity data,

00:52:54.940 you can see

00:52:55.680 how many flu deaths

00:52:56.800 actually happen

00:52:57.760 in America

00:52:58.540 every year.

00:52:59.480 But nobody does that.

00:53:01.520 And instead,

00:53:02.740 CNN reports

00:53:04.120 every year

00:53:04.960 that the flu deaths

00:53:06.220 in this country

00:53:06.840 were between

00:53:07.460 60,000 and 90,000.

00:53:09.560 And they'll say

00:53:10.200 it's worse than ever.

00:53:11.760 It could be

00:53:12.720 95,000 deaths

00:53:14.180 this year

00:53:14.660 from flu.

00:53:16.320 Take your flu shot.

00:53:17.400 And if you go around

00:53:18.380 and ask people,

00:53:19.160 do you actually know

00:53:19.920 anybody who's ever

00:53:20.660 died of a flu?

00:53:21.920 Most people will tell you

00:53:22.820 no.

00:53:23.700 If 95,000 people

00:53:25.160 were dying every year

00:53:26.160 of flu,

00:53:26.520 we'd all know

00:53:27.200 people who died

00:53:27.900 of the flu.

00:53:28.280 The truth is

00:53:30.200 at the year

00:53:31.600 they said 95,000,

00:53:32.920 which was two years ago,

00:53:33.940 there were 2,000 people

00:53:35.040 who died of the flu.

00:53:36.840 The average death rate

00:53:38.140 for the flu

00:53:38.740 over the past 20 years

00:53:40.160 is around 1,000 people a year.

00:53:42.940 And what they do

00:53:44.240 is they conflate

00:53:45.360 the mortality

00:53:47.900 and morbidity data

00:53:48.900 for pneumonia

00:53:49.860 with the flu.

00:53:51.960 And only 7%

00:53:53.460 of pneumonial cases

00:53:54.620 are actually caused

00:53:55.580 by the flu

00:53:56.160 of pneumonia deaths.

00:53:57.360 The rest of them

00:53:58.340 are non-flu

00:53:59.320 or respiratory infections.

00:54:03.600 So CNN

00:54:04.120 just lies about that

00:54:05.560 every year.

00:54:06.380 And I don't think

00:54:07.080 Sanjay Gupta

00:54:07.900 and Anderson Cooper

00:54:08.920 actually want to lie,

00:54:11.000 but it's part

00:54:11.800 of their gestalt.

00:54:14.640 They're, you know,

00:54:15.380 they're supposed

00:54:15.860 to push the flu vaccine.

00:54:17.400 They're supposed

00:54:17.800 to scare the hell

00:54:18.520 out of everybody

00:54:19.200 and make everybody

00:54:19.920 think they're going

00:54:20.480 to die

00:54:20.820 if they don't get it.

00:54:22.400 Well, they do that. 0.81

00:54:23.420 And the fact is

00:54:24.760 that the flu

00:54:25.420 does not kill

00:54:26.620 that many people

00:54:27.320 in this country.

00:54:27.980 It's not a dangerous disease.

00:54:30.100 And the flu vaccine

00:54:32.120 costs a lot more harm

00:54:34.080 than the flu does.

00:54:35.400 For somebody

00:54:36.280 that's watching

00:54:36.840 is saying,

00:54:38.000 Robert,

00:54:38.580 why is your data right

00:54:39.940 and not their data?

00:54:41.040 If you're saying

00:54:41.480 only 1,000 versus 60,

00:54:43.040 that's a big difference.

00:54:44.060 Listen,

00:54:44.800 nobody should trust me

00:54:46.060 and nobody should

00:54:48.060 trust Anderson Cooper

00:54:49.100 and nobody should

00:54:50.120 trust Tony Fauci.

00:54:51.540 They should trust

00:54:52.140 the science.

00:54:53.060 And what I'm using

00:54:54.260 is not my data.

00:54:55.640 It's their data.

00:54:57.380 And, you know,

00:54:58.040 I've written a letter

00:54:59.660 to Sanjay Gupta

00:55:00.700 outlining all

00:55:03.700 of the standard

00:55:04.520 in a very polite

00:55:05.980 civil letter,

00:55:06.860 but just saying,

00:55:07.640 you know,

00:55:07.820 Sanjay,

00:55:08.340 I admire you a lot

00:55:09.380 and I know you're

00:55:10.020 not deliberately

00:55:10.560 doing this,

00:55:11.340 but you say

00:55:12.280 these things

00:55:13.140 every year

00:55:13.960 and here's why

00:55:14.980 each of them

00:55:15.560 is wrong

00:55:16.000 according to CNN

00:55:18.180 and stated.

00:55:19.060 Now,

00:55:19.360 everything I say

00:55:21.260 on my Instagram page,

00:55:23.000 every single statement

00:55:24.400 is sourced

00:55:25.640 and cited.

00:55:27.720 You can't do it

00:55:28.920 on Instagram

00:55:29.560 because Instagram

00:55:30.420 doesn't let you link.

00:55:31.740 So I always publish it

00:55:32.920 first on Instagram

00:55:33.860 because that's kind of

00:55:34.840 my, you know,

00:55:35.840 best platform.

00:55:39.160 But I always,

00:55:40.940 you know,

00:55:41.280 usually within 24 hours,

00:55:42.880 reprint it

00:55:43.500 on Children's Health

00:55:44.540 Defense website

00:55:45.320 with all the sites

00:55:46.880 and with all the sourcing

00:55:48.020 there,

00:55:48.340 but we don't say

00:55:49.120 if I said something

00:55:51.180 that was untrue,

00:55:52.300 people would be

00:55:52.960 all over me.

00:55:54.060 If I,

00:55:54.500 you know,

00:55:54.920 my enemies

00:55:55.920 are watching everything

00:55:57.000 that I say,

00:55:57.780 the pharmaceutical industry

00:55:58.760 is watching everything

00:55:59.580 I say,

00:56:00.100 so I am very,

00:56:01.560 very careful

00:56:02.320 that any public statement

00:56:04.700 that I make

00:56:05.460 is sourced.

00:56:06.320 and, you know,

00:56:07.920 if I made a mistake,

00:56:10.680 which I'm sure

00:56:11.360 at some point

00:56:12.260 is possible

00:56:12.840 for me to do,

00:56:14.500 and somebody told me

00:56:15.420 I made a mistake,

00:56:16.220 I would immediately

00:56:17.040 go and correct it.

00:56:18.120 But we don't,

00:56:19.000 you know,

00:56:19.180 we have a whole staff

00:56:20.480 of doctors,

00:56:21.360 nurses,

00:56:21.720 and scientists

00:56:22.740 who review.

00:56:24.840 I submit all of my,

00:56:26.460 you know,

00:56:26.940 my Instagram postings

00:56:28.500 to them

00:56:29.000 before I put them up

00:56:30.080 and I say,

00:56:31.140 can you go through this

00:56:32.160 and source everything

00:56:33.440 and tell me

00:56:34.140 if I've made a mistake?

00:56:35.560 So, you know,

00:56:36.160 we really are careful

00:56:38.060 about making sure

00:56:39.020 everything is sourced

00:56:40.900 to peer review

00:56:41.680 or to a government database.

00:56:45.380 Who's on your side,

00:56:46.480 by the way?

00:56:46.800 Because your position,

00:56:47.860 I mean,

00:56:48.060 I saw the letter

00:56:49.540 your family wrote to you.

00:56:50.940 This was about a year ago.

00:56:52.780 And, you know,

00:56:53.700 RFK is our brother

00:56:54.840 and uncle.

00:56:55.420 He's tragically wrong

00:56:56.340 about vaccines.

00:56:57.080 We love RFK,

00:56:58.400 but he's part

00:56:59.140 of the misinformation

00:57:00.060 campaign that's heartbreaking

00:57:01.320 and deadly consequences.

00:57:03.180 Who's on you?

00:57:03.900 Because when you're talking,

00:57:05.160 if somebody's listening

00:57:06.120 that's in the middle,

00:57:07.100 not a person

00:57:08.220 that's on a big pharma side,

00:57:09.380 say they're CNN,

00:57:10.560 Cooper, Guptall,

00:57:11.300 or not somebody

00:57:11.960 that's on the other side,

00:57:12.800 but somebody that says,

00:57:13.980 a lot of the stuff

00:57:15.300 he's saying

00:57:15.740 makes a lot of sense.

00:57:17.280 Who else is on your side

00:57:18.740 that's a big name

00:57:20.340 and a credible source?

00:57:26.140 You know,

00:57:27.080 listen,

00:57:27.620 we have a lot of doctors

00:57:28.860 and nurses 0.99

00:57:29.800 and nurses 0.99

00:57:29.820 on our side

00:57:31.160 and scientists

00:57:32.180 who are on our side.

00:57:33.700 They're not household names.

00:57:36.360 There are people

00:57:37.040 who are known

00:57:38.100 in the,

00:57:39.020 you know,

00:57:39.260 in scientific fields.

00:57:40.480 For example,

00:57:41.500 you know,

00:57:41.760 the world's top scientist

00:57:43.880 on African vaccines,

00:57:46.120 a guy in Danish,

00:57:48.460 scientist called Peter Aavey.

00:57:50.520 He has hundreds upon hundreds

00:57:52.020 of peer-reviewed publications,

00:57:53.360 and he was always against us

00:57:55.860 until he recently did a study

00:57:58.100 on the DTP vaccine

00:57:59.540 in Africa

00:58:00.200 and showed

00:58:01.960 that it's killing more people

00:58:04.560 than diphtheria,

00:58:05.640 tetanus,

00:58:05.980 and pertussis,

00:58:07.080 and that girls 1.00

00:58:08.800 who get the vaccine

00:58:10.100 are 10 times more likely

00:58:12.680 to die

00:58:13.140 than people

00:58:13.640 who don't get the vaccine.

00:58:15.500 And so,

00:58:16.040 and that brought him,

00:58:16.860 the data brought him over.

00:58:18.260 So we have,

00:58:20.380 you know,

00:58:20.660 there are many,

00:58:21.220 many doctors,

00:58:22.020 but they don't,

00:58:22.860 they don't want to

00:58:23.640 put their heads up

00:58:24.600 because their careers

00:58:25.380 are destroyed.

00:58:26.120 Scientists get their careers destroyed.

00:58:27.980 Journalists lose their careers.

00:58:30.260 People,

00:58:30.680 this is,

00:58:31.260 you know,

00:58:31.720 this is a career killer.

00:58:33.860 The reason

00:58:34.600 that I'm,

00:58:36.840 you know,

00:58:37.020 my name is prominent

00:58:38.200 is because

00:58:40.040 I,

00:58:41.960 you know,

00:58:42.820 I have a track record

00:58:45.020 and I'm a litigator.

00:58:47.160 I argued all these

00:58:48.760 important cases.

00:58:50.060 I was on trial teams

00:58:51.460 in the Monsanto cases

00:58:53.000 and on the case,

00:58:55.560 you know,

00:58:55.800 Mark Ruffler just made a movie

00:58:57.360 about one of my cases,

00:58:59.200 which was the,

00:59:00.060 which was the DuPont case

00:59:02.260 in West Virginia.

00:59:05.360 And,

00:59:06.000 you know,

00:59:06.360 I've been involved

00:59:07.020 in hundreds of lawsuits.

00:59:08.440 I've helped start

00:59:09.220 hundreds of environmental groups

00:59:11.280 and I have a track record

00:59:12.600 and I have friends

00:59:13.640 and I have resilience

00:59:14.580 because of that

00:59:15.560 and because of my family name

00:59:17.140 also

00:59:17.660 and I have a high profile

00:59:18.600 and I have resilience.

00:59:20.140 But otherwise,

00:59:21.020 the industry

00:59:21.660 has spent 15 years,

00:59:23.560 you know,

00:59:23.860 battering me

00:59:24.620 and besieging me

00:59:25.480 and I've lost

00:59:26.120 a lot of friendships

00:59:27.860 and I've lost

00:59:28.720 a lot of business relationships

00:59:30.660 and other relationships

00:59:32.360 and credibility

00:59:33.740 with people

00:59:34.480 who just believe,

00:59:35.580 oh,

00:59:36.200 who never hear my arguments.

00:59:38.980 They never hear them.

00:59:40.620 All they hear is,

00:59:41.900 he's an anti-vaxxer

00:59:42.960 and they say,

00:59:43.940 well,

00:59:44.040 that's wrong.

00:59:44.700 You know,

00:59:45.120 my family,

00:59:47.360 even those three members

00:59:48.900 of my family

00:59:49.440 who wrote that article,

00:59:50.400 I have a big family

00:59:51.420 and I have supporters

00:59:52.360 in the family too,

00:59:53.700 but the three members

00:59:54.640 who wrote that article

00:59:55.800 accused me

00:59:57.380 of being an anti-vaxxer.

00:59:59.000 Oh,

00:59:59.240 and I'm not,

00:59:59.960 I've never said anything

01:00:01.460 anti-vaccine

01:00:02.420 and I'm not anti-vaccine.

01:00:05.540 What I've said is

01:00:06.600 a vaccine should be safe

01:00:09.100 and effective

01:00:09.740 and that they shouldn't

01:00:10.820 be mandated in any case.

01:00:13.100 But if you can make

01:00:14.020 a vaccine that is proven

01:00:15.560 to be safe

01:00:16.160 and proven to be effective,

01:00:17.360 I wouldn't be against it.

01:00:19.440 But let's do,

01:00:20.680 let's walk through the proof.

01:00:23.060 You know,

01:00:23.460 I've spent 37 years

01:00:25.780 trying to get mercury

01:00:28.300 out of fish.

01:00:29.880 Nobody calls me anti-fish.

01:00:32.540 I've spent 37 years

01:00:34.260 trying to get pesticides

01:00:35.200 out of food.

01:00:36.420 Nobody calls me anti-food.

01:00:37.860 I've spent 30 years

01:00:40.820 trying to get,

01:00:42.540 to improve fuel efficiency

01:00:44.780 or get carbon fuel

01:00:46.120 out of automobiles.

01:00:47.180 My, you know,

01:00:47.980 my partnership

01:00:48.820 was the biggest investor

01:00:50.200 in Tesla

01:00:50.860 and the first investor

01:00:53.840 in Tesla.

01:00:55.240 And, you know,

01:00:56.360 I was part of a partnership

01:00:57.760 that built the two biggest

01:00:59.300 solar plants in our country.

01:01:02.960 I want to get,

01:01:04.000 I want to get carbon

01:01:05.340 out of our energy system.

01:01:06.780 Nobody calls me

01:01:07.580 anti-energy.

01:01:09.180 I'm not anti-vaccine.

01:01:11.060 I just want,

01:01:12.380 say,

01:01:12.840 good science,

01:01:13.860 robust science,

01:01:15.540 independent regulators

01:01:16.740 and safety.

01:01:18.960 Oh, I've never said

01:01:20.000 I was anti-vaccine.

01:01:21.080 People call me that

01:01:21.920 because it's a way

01:01:22.480 of marginalizing me.

01:01:24.440 It's a way

01:01:25.180 of making people think

01:01:26.240 I'm a crackpot,

01:01:27.600 you know,

01:01:27.940 and keeping me silent

01:01:29.380 and censoring me

01:01:32.540 because, you know,

01:01:33.400 he's anti-vax,

01:01:34.280 he's dangerous,

01:01:35.020 don't let people hear him

01:01:35.900 because it will spread

01:01:36.580 like a virus.

01:01:38.540 And so,

01:01:39.240 they keep me off of TV,

01:01:40.520 they keep me off

01:01:41.120 of social media,

01:01:41.980 they keep me out

01:01:42.580 of the newspapers,

01:01:43.260 and it allows everybody,

01:01:45.120 including three members

01:01:46.320 of my family,

01:01:48.100 to say,

01:01:49.100 you know,

01:01:49.580 we don't like what he says

01:01:50.580 because he's anti-vax,

01:01:51.420 but they never heard

01:01:52.100 what I said.

01:01:54.100 Do you guys still do

01:01:55.900 family reunions

01:01:56.640 where everybody gets together?

01:01:57.520 You know what,

01:01:59.300 Patrick,

01:01:59.940 I had 11 brothers

01:02:01.080 and sisters.

01:02:02.760 My parents encouraged us

01:02:05.800 every night

01:02:06.560 to get in arguments,

01:02:08.540 and that's what we did.

01:02:09.680 We always had one discussion

01:02:11.200 at the dinner table,

01:02:13.200 and we,

01:02:13.760 you know,

01:02:14.280 there would be topics,

01:02:15.560 and we would argue about them.

01:02:17.460 Should,

01:02:17.800 should,

01:02:18.160 I remember my father

01:02:19.380 saying,

01:02:20.360 you know,

01:02:20.760 should we get out

01:02:21.460 of Vietnam?

01:02:22.860 Is it good to take LSD?

01:02:25.660 Does God exist?

01:02:27.860 You know,

01:02:28.100 all of these things,

01:02:29.020 they would throw them out,

01:02:30.120 and then we would argue about them,

01:02:31.840 and they would,

01:02:32.580 you know,

01:02:32.880 coach us on our arguments.

01:02:34.160 My grandfather

01:02:35.140 did the same thing

01:02:36.980 to his kids.

01:02:37.860 He'd say,

01:02:38.380 you know,

01:02:38.560 should we be in the,

01:02:40.280 should we join the war in Spain?

01:02:42.940 Is fascism good for Italy?

01:02:45.280 You know,

01:02:45.560 whatever,

01:02:46.960 and make us argue it,

01:02:49.060 and encourage us

01:02:50.300 to take extreme points of view

01:02:52.060 and talk about them.

01:02:53.240 So,

01:02:54.360 like,

01:02:54.640 if somebody in my family

01:02:56.240 argues,

01:02:57.340 against my position

01:02:58.560 is not troublesome to me,

01:03:00.780 and in no way

01:03:02.060 would that ever affect

01:03:03.280 my relationship with them.

01:03:04.900 I understand,

01:03:06.200 you know,

01:03:06.520 we need debate.

01:03:07.660 That's what we ought

01:03:08.260 to be doing.

01:03:09.440 We ought to be debating this stuff.

01:03:11.280 Everybody should,

01:03:12.180 and we should be able

01:03:13.220 to do it without,

01:03:14.720 you know,

01:03:15.800 without vitriol

01:03:17.180 and without anger,

01:03:18.900 and,

01:03:19.220 you know,

01:03:19.660 and that's what you want

01:03:21.160 in a civil society.

01:03:22.500 You want civil debate

01:03:24.440 and respect for other

01:03:25.600 people's positions.

01:03:26.820 I posted something

01:03:27.740 on Twitter earlier,

01:03:29.060 and this is the question

01:03:29.800 I asked.

01:03:30.380 I said,

01:03:31.340 what topic generally

01:03:33.360 creates the most

01:03:35.020 heated debate

01:03:35.920 between you and your family?

01:03:37.360 I'm just curious

01:03:37.900 to know what people

01:03:38.360 are going to say,

01:03:39.000 right?

01:03:39.240 And they said,

01:03:40.360 you know,

01:03:40.980 pro-life,

01:03:42.100 pro-choice,

01:03:43.140 you know,

01:03:43.560 who's the greatest

01:03:44.220 of all time,

01:03:44.840 Michael Jordan

01:03:45.400 or LeBron,

01:03:46.020 some of them

01:03:46.340 were sports,

01:03:47.100 but the most,

01:03:49.020 the most comment here,

01:03:50.900 the one that came up

01:03:51.700 the most was vaccine.

01:03:54.060 Vaccine is the one 0.77

01:03:55.160 that creates

01:03:55.780 the most heated debate

01:03:57.160 amongst people.

01:03:58.140 Why do you think

01:03:58.740 that is?

01:04:01.080 Well,

01:04:01.680 it's clear

01:04:02.520 why it is

01:04:03.600 because we're doing

01:04:04.680 something that we've

01:04:05.480 never done before.

01:04:06.500 We're telling people,

01:04:08.020 you have to take

01:04:09.880 this medication,

01:04:10.680 and we're taking

01:04:11.980 doctors who,

01:04:13.500 you know,

01:04:13.780 have this sacred

01:04:14.680 for 2,000 years

01:04:16.520 since Hippocrates,

01:04:18.960 had a sacred

01:04:20.220 relationship

01:04:21.760 with the patient

01:04:22.860 where that doctor

01:04:24.120 is treating you

01:04:25.380 and owes you

01:04:27.720 his complete allegiance,

01:04:29.100 his silence,

01:04:30.940 his confidentiality,

01:04:32.980 his best judgment

01:04:34.020 about your condition,

01:04:35.340 and is trying

01:04:36.080 to heal you.

01:04:38.420 We've now profoundly

01:04:40.000 and dramatically

01:04:41.040 changed the role

01:04:41.860 of the doctor.

01:04:42.940 The doctor is now

01:04:43.980 the agent

01:04:44.700 of state power

01:04:45.900 and state policy,

01:04:47.580 and he's saying,

01:04:49.140 even though you're

01:04:49.860 a completely healthy kid,

01:04:51.600 I'm going to give you

01:04:52.920 a risky medication

01:04:54.160 so that you can

01:04:55.080 protect somebody else,

01:04:56.640 allegedly,

01:04:58.100 you know,

01:04:58.360 which basically,

01:04:59.260 which, by the way,

01:05:01.260 that ain't true.

01:05:02.280 you're much more likely

01:05:03.320 to get chicken pox

01:05:04.560 from a vaccinated person

01:05:05.940 or measles

01:05:06.720 than you are

01:05:07.300 from an unvaccinated person.

01:05:09.240 Much more likely.

01:05:10.800 You're much more likely

01:05:11.640 to get polio

01:05:12.480 from a vaccinated person

01:05:13.880 than an unvaccinated.

01:05:14.720 70% of the polio

01:05:16.060 in the world

01:05:16.900 is vaccine strain.

01:05:19.060 That means you've got it

01:05:20.140 from a vaccinated person.

01:05:22.380 Oh, that is a mythology

01:05:23.860 that unvaccinated people

01:05:25.400 are dangerous.

01:05:27.140 It's the fact,

01:05:27.760 if you look at the,

01:05:29.020 the manufacturer's insert

01:05:31.460 for chicken pox,

01:05:33.180 it says on the manufacturer's insert,

01:05:35.600 after you receive this vaccine,

01:05:37.220 do not be in proximity

01:05:38.900 of pregnant women

01:05:39.840 or immunocompromised people

01:05:41.240 for six weeks.

01:05:43.440 Nobody ever does that.

01:05:44.680 They go back to school

01:05:45.480 the next day

01:05:46.120 and they spread the chicken pox.

01:05:48.680 And, you know,

01:05:49.400 pertussis,

01:05:50.160 you become an asymptomatic carrier.

01:05:52.500 You're spreading pertussis.

01:05:53.820 Whereas if you actually

01:05:55.280 were unvaccinated

01:05:56.160 and you got pertussis,

01:05:57.180 you wouldn't know it.

01:05:58.420 You get a whooping cough

01:05:59.360 and you'd stay home

01:06:00.220 and you wouldn't be spreading it.

01:06:02.040 When you're given

01:06:02.720 the pertussis vaccine,

01:06:04.000 you got it.

01:06:05.240 Well, you don't know you got it,

01:06:06.500 but you're spreading it

01:06:07.380 to other people.

01:06:08.800 And, you know,

01:06:09.580 and so the vaccines

01:06:10.860 are actually

01:06:11.660 more likely to spread disease

01:06:14.960 than if you're unvaccinated.

01:06:18.300 1961, your uncle,

01:06:20.240 President John F. Kennedy,

01:06:21.400 urged 80 million Americans,

01:06:22.860 including almost 5 million children

01:06:24.500 who had not been vaccinated

01:06:25.640 for polio

01:06:26.260 to receive the Salk vaccine,

01:06:27.740 which he called

01:06:28.280 the miraculous drug.

01:06:30.200 Do you think

01:06:30.940 he would have

01:06:31.440 the same position today

01:06:32.920 as he did in 1961?

01:06:34.840 You know,

01:06:35.480 I don't want to speak

01:06:36.160 to my uncle,

01:06:36.920 for my uncle.

01:06:38.880 Of course,

01:06:39.580 he was for that.

01:06:41.500 And we only had

01:06:42.800 two vaccines then.

01:06:44.400 You know,

01:06:44.680 I had the polio

01:06:45.720 Salk vaccine.

01:06:47.680 We didn't know

01:06:48.260 any of the problems

01:06:49.020 with vaccines then.

01:06:50.280 We didn't have,

01:06:51.220 you know,

01:06:51.420 most of the vaccines today,

01:06:54.460 only it was

01:06:54.980 a healthcare crisis.

01:06:56.360 Most of the vaccines,

01:06:57.360 when they put

01:06:57.760 all these vaccines

01:06:58.580 on a schedule,

01:07:00.140 almost none of them

01:07:01.160 were dangerous diseases,

01:07:02.740 casually contagious diseases

01:07:04.140 that were going to spread.

01:07:06.240 Why do we need

01:07:06.860 a hepatitis B vaccine?

01:07:08.520 Hepatitis B vaccine

01:07:09.700 is given

01:07:10.720 every child

01:07:11.540 the day they're born.

01:07:13.340 And the only way

01:07:14.820 you can get it

01:07:15.560 from your mom

01:07:16.080 if she has it

01:07:16.780 when you're being born,

01:07:17.840 but every mother

01:07:18.620 is tested

01:07:19.260 in every hospital

01:07:20.600 in every state

01:07:21.880 in this country.

01:07:23.980 So that's a very

01:07:24.740 small amount of kids

01:07:26.000 and they,

01:07:26.840 you can give them

01:07:27.460 the vaccine.

01:07:28.900 The only other way

01:07:29.780 you get that

01:07:30.380 hepatitis B

01:07:32.180 is from,

01:07:33.000 is from sex, 0.71

01:07:36.180 you know,

01:07:36.740 and,

01:07:37.400 or from hypodermic needle,

01:07:39.060 unprotected sex 0.89

01:07:39.880 or hypodermic needles.

01:07:40.740 That little child

01:07:41.800 is at zero risk.

01:07:44.020 Why are we giving

01:07:45.000 them that vaccine?

01:07:46.780 The hepatitis B vaccine

01:07:47.880 was manufactured

01:07:48.800 by Merck

01:07:49.520 for male homosexuals

01:07:52.500 who had,

01:07:53.220 who had a plague

01:07:53.980 of hepatitis B

01:07:54.880 because of the kind

01:07:56.120 of sex they were having. 0.56

01:07:58.100 And,

01:07:58.680 and for heroin addicts

01:08:01.320 and,

01:08:02.240 and for prostitutes

01:08:03.680 and that's it.

01:08:04.960 That's why they developed it

01:08:06.100 and guess what happened?

01:08:08.080 None of those people

01:08:09.460 used the vaccine.

01:08:11.420 They couldn't sell

01:08:12.260 any of them.

01:08:13.000 So they went back,

01:08:14.320 Merck went back

01:08:15.020 to CDC

01:08:15.580 and said,

01:08:17.500 we're not selling

01:08:18.100 this product.

01:08:18.920 It's a loss leader

01:08:19.800 for us.

01:08:22.080 Order it,

01:08:22.800 give it to children.

01:08:24.420 And CDC does

01:08:25.460 whatever Merck tells them.

01:08:27.360 They ordered it

01:08:28.240 for every child.

01:08:29.040 Now,

01:08:29.520 the vaccine only

01:08:30.280 lasts two years.

01:08:31.920 So that child

01:08:32.880 is not going to sleep

01:08:33.740 with a prostitute 0.98

01:08:34.680 between the day

01:08:36.580 they're born

01:08:37.040 and the day

01:08:37.480 they're two years old

01:08:38.380 or the day

01:08:39.480 they're 10

01:08:39.860 and they're given

01:08:40.340 five of those vaccines

01:08:41.580 because they only

01:08:42.140 last two years.

01:08:44.260 The only reason

01:08:45.640 for that vaccine,

01:08:46.760 the only reason

01:08:47.800 is to enrich

01:08:48.760 that company

01:08:49.420 and it kills

01:08:50.640 lots and lots

01:08:51.840 and lots of kids

01:08:52.820 every year.

01:08:54.400 That's one.

01:08:56.120 There's many other vaccines

01:08:57.660 that are clearly

01:08:58.580 killing today

01:08:59.860 more children

01:09:00.820 than they're saving.

01:09:01.780 Another one of those

01:09:02.920 would be

01:09:03.580 the rotavirus vaccine

01:09:04.760 which again

01:09:06.080 was got on the

01:09:07.120 you know,

01:09:08.480 did you grow up

01:09:10.040 with a great fear

01:09:11.000 of rotavirus?

01:09:12.580 No.

01:09:13.160 No,

01:09:13.660 of course not.

01:09:14.660 It wasn't a threatening

01:09:15.520 disease in our,

01:09:16.820 you know,

01:09:17.400 our generation

01:09:18.340 or any generation.

01:09:20.080 It's not a threatening,

01:09:21.240 there are more

01:09:22.200 rotavirus cases today

01:09:24.420 which is,

01:09:25.240 you know,

01:09:25.460 a couple hundred

01:09:26.160 deaths a year

01:09:26.980 than there were

01:09:28.640 before the rotavirus vaccine.

01:09:30.380 The rotavirus vaccine

01:09:32.180 contains a port virus,

01:09:37.040 a pig virus

01:09:37.660 because it's made

01:09:38.380 on pig tissue

01:09:39.440 that we know

01:09:41.420 causes cancer

01:09:43.040 and behavioral problems

01:09:44.640 in pigs.

01:09:46.280 Why would we give that,

01:09:47.580 why would we take the risk

01:09:48.700 and give that vaccine

01:09:49.900 to every American child?

01:09:53.120 They have no idea

01:09:53.880 whether it's causing

01:09:54.780 those cancers in kids.

01:09:57.500 And if you go through

01:09:58.660 these vaccines

01:09:59.480 one at a time

01:10:00.540 and you say,

01:10:01.740 do we really need

01:10:02.560 this vaccine?

01:10:03.240 Most of them is,

01:10:04.080 no, we don't.

01:10:05.040 And prior to 85,

01:10:07.040 almost none of them existed.

01:10:08.640 80% of the vaccines

01:10:09.780 we have

01:10:10.460 were after 85

01:10:12.760 and there weren't huge,

01:10:14.140 you know,

01:10:14.940 epidemics

01:10:15.580 of infectious diseases

01:10:16.820 killing Americans 0.99

01:10:17.880 at that time.

01:10:18.740 Even measles.

01:10:20.720 Measles mortalities

01:10:23.040 had 99% disappeared

01:10:28.000 prior to the introduction

01:10:29.680 of the vaccine.

01:10:31.560 In 63,

01:10:32.820 there were only 400 kids

01:10:34.260 who died of measles

01:10:35.200 out of a population

01:10:36.600 of 200 million Americans.

01:10:39.140 They were almost all

01:10:40.440 black children

01:10:41.300 from the Mississippi Delta

01:10:42.860 who were actually dying

01:10:44.260 of malnutrition

01:10:45.060 and this was before

01:10:45.900 the poverty programs.

01:10:48.080 And, you know,

01:10:48.680 the likelihood is

01:10:49.640 measles mortalities

01:10:50.700 would have disappeared

01:10:51.560 altogether.

01:10:52.320 And now measles

01:10:52.940 is going to come back

01:10:53.780 and cause us

01:10:54.360 a lot of problems

01:10:55.220 because the vaccine

01:10:56.680 is doing things.

01:10:59.880 It's forcing measles

01:11:02.080 to older populations

01:11:03.320 and much younger populations

01:11:04.700 who should not

01:11:05.440 be getting measles.

01:11:07.840 There's data saying

01:11:08.840 that measles

01:11:09.400 is back on increase.

01:11:11.140 110,000 people

01:11:12.180 are now dying

01:11:12.700 from measles every year.

01:11:13.520 Matter of fact,

01:11:13.780 that's in the same letter

01:11:14.520 that your family wrote.

01:11:15.700 But, you know,

01:11:16.200 this leads me

01:11:17.040 to something here right now

01:11:18.040 because World Health Organization

01:11:19.360 is...

01:11:19.400 By the way,

01:11:20.240 there's a lot of problems

01:11:21.260 with that data.

01:11:21.960 If you look

01:11:22.340 in the United States,

01:11:24.280 there's zero measles deaths.

01:11:26.320 Zero.

01:11:27.040 And the people

01:11:27.720 who are now getting measles

01:11:29.320 are older people.

01:11:31.200 The last epidemic

01:11:33.120 in California

01:11:33.840 is 79% of the people

01:11:35.340 who got measles

01:11:35.880 were adults.

01:11:37.100 And you're not...

01:11:38.420 Adults are not supposed 1.00

01:11:39.240 to get measles.

01:11:41.000 World Health Organization

01:11:42.020 and little babies

01:11:43.500 are now getting it

01:11:44.360 when they're, you know,

01:11:45.280 two weeks old.

01:11:46.120 And they used

01:11:46.640 to have maternal immunity,

01:11:47.840 but the vaccine

01:11:48.400 doesn't give you that.

01:11:49.360 And they're too young

01:11:50.260 to get the vaccine.

01:11:52.140 A lot of those kids

01:11:53.020 are going to end up dying.

01:11:55.020 The measles...

01:11:56.700 And the, you know,

01:11:57.340 the World Health data,

01:11:58.720 which you just read,

01:12:00.760 is there's a lot of scams

01:12:02.720 in collecting that data.

01:12:04.740 And the kids

01:12:05.540 who die of measles today

01:12:07.760 are severely malnourished kids

01:12:11.420 in Africa.

01:12:12.200 And, you know,

01:12:13.940 the problem is,

01:12:15.900 is nourishment.

01:12:17.600 Measles disappeared

01:12:18.360 in this country

01:12:19.080 when we started

01:12:20.320 having good sanitation

01:12:21.620 and good nutrition.

01:12:23.380 And, you know,

01:12:23.920 again,

01:12:24.260 that's not me saying it.

01:12:26.320 The CDC did a major study

01:12:28.480 on this mythology

01:12:31.060 that vaccines eradicated

01:12:33.460 all these mortalities

01:12:34.740 from infectious diseases.

01:12:37.040 Their conclusion from that,

01:12:38.420 which is on my Instagram,

01:12:39.440 anybody can read their study

01:12:41.140 with a quote

01:12:42.100 from Johns Hopkins and CDC,

01:12:45.340 thus vaccination

01:12:46.460 had almost nothing to do

01:12:48.460 with the disappearance

01:12:49.720 of disease mortalities

01:12:52.060 in the first half

01:12:53.740 of the 20th century.

01:12:55.520 Vaccines didn't do it.

01:12:56.840 It was nutrition.

01:12:58.580 It was sanitation.

01:12:59.600 It was good food,

01:13:01.120 electric refrigeration,

01:13:03.400 chlorinated water,

01:13:04.680 and electricity.

01:13:08.000 And that's what

01:13:08.820 eradicated disease.

01:13:10.300 That's why they still

01:13:11.080 have disease in Africa.

01:13:13.040 Now, you see

01:13:14.000 World Health Organization

01:13:15.340 also says that

01:13:16.160 because of vaccines,

01:13:17.100 it prevents 6 million

01:13:17.940 deaths per year.

01:13:18.880 So if they...

01:13:19.680 Yeah, I mean,

01:13:20.240 that's a...

01:13:22.160 There's no...

01:13:25.600 There's really no good way

01:13:27.740 to ascertain

01:13:31.340 or to judge that data.

01:13:32.760 You know, there's not...

01:13:35.300 They can't point

01:13:36.660 to a country, for example.

01:13:38.380 They'll say the DPT vaccine

01:13:40.480 saves millions of lives

01:13:42.780 and it is their most popular vaccine.

01:13:45.400 It's the most popular vaccine

01:13:46.580 in the world.

01:13:47.040 They're giving to every kid in Africa

01:13:48.560 and they gauge

01:13:50.260 national compliance

01:13:52.300 with vaccine mandates

01:13:56.600 by that vaccine.

01:13:58.720 A World Health Organization

01:14:00.180 funds most of the ministries

01:14:02.520 of health

01:14:03.000 for all these African countries

01:14:04.440 and it funds

01:14:05.280 their HIV programs.

01:14:06.800 So those countries

01:14:07.500 are very dependent

01:14:08.280 on World Health Organization

01:14:09.540 and World Health Organization

01:14:10.960 has a dictatorial control

01:14:12.560 over those countries.

01:14:14.260 It can tell them,

01:14:15.180 you must take this vaccine

01:14:16.340 and we're not going

01:14:16.920 to give you AIDS money.

01:14:19.300 And so they do it.

01:14:20.220 So they all take

01:14:20.880 the DPT vaccine

01:14:21.860 and nobody's ever

01:14:23.260 really looked

01:14:24.280 to see whether

01:14:25.760 the DPT vaccine

01:14:26.780 is actually saving lives.

01:14:28.540 Oh, in 2017,

01:14:31.400 the Danish government

01:14:32.400 got the best scientists

01:14:34.560 in the world

01:14:34.900 and one of the world's

01:14:36.380 biggest vaccine companies,

01:14:37.740 Staten Sarum Institute,

01:14:40.220 put together a study.

01:14:41.560 They brought together

01:14:42.320 the best scientists

01:14:43.140 in the world

01:14:43.660 and they looked at

01:14:45.220 populations

01:14:46.960 in the nation

01:14:47.760 of Guinea-Bissau

01:14:48.600 where half the kids

01:14:49.720 were vaccinated

01:14:50.360 between two and five months

01:14:51.960 of age

01:14:52.260 and half weren't.

01:14:53.300 So they had a perfect

01:14:54.180 natural experiment,

01:14:56.100 randomized populations,

01:14:57.560 half unvaccinated,

01:14:59.900 half vaccinated

01:15:00.660 and they looked

01:15:01.320 at the health impacts

01:15:02.180 and what they found

01:15:02.920 when they have

01:15:04.380 30 years of data.

01:15:07.020 They found that

01:15:08.000 the vaccine,

01:15:09.060 you were 10 times

01:15:10.760 more likely to die

01:15:11.920 if you got the vaccine

01:15:13.420 than if you didn't.

01:15:15.860 Oh, WHO,

01:15:18.340 the authors of that study

01:15:21.060 have been screaming

01:15:23.260 at the rooftops

01:15:24.220 at WHO,

01:15:24.900 you got to stop

01:15:27.060 using this vaccine,

01:15:28.480 you got to reassess this

01:15:29.820 and WHO is still

01:15:31.200 going around

01:15:31.700 claiming it saves lives

01:15:32.880 but it's a lie.

01:15:34.480 It's a provable lie.

01:15:37.140 That study,

01:15:38.440 by the way,

01:15:38.960 any of your listeners

01:15:39.980 can look it up

01:15:40.920 and I encourage you

01:15:41.660 to do so.

01:15:43.120 It's called

01:15:43.820 Morgensen,

01:15:44.800 M-O-R-G-E-N-S-E-N 1.00

01:15:47.840 et al,

01:15:48.980 in other words,

01:15:49.820 and the team,

01:15:50.940 2017

01:15:52.760 and the journal

01:15:54.020 is called

01:15:54.460 eBioPharma

01:15:55.600 and, you know,

01:15:57.560 so that,

01:15:58.440 the idea that

01:15:59.440 they're saving

01:16:00.060 six million lives

01:16:01.000 a year,

01:16:01.520 there's no data

01:16:02.200 that supports that.

01:16:04.080 Which one of those

01:16:04.900 organizations

01:16:05.480 do you give a,

01:16:06.900 do you give a lot

01:16:08.200 of credibility to?

01:16:09.160 Well,

01:16:09.380 here's the problem.

01:16:11.620 You know,

01:16:12.200 I'm not

01:16:12.740 against the agencies.

01:16:14.880 I, you know,

01:16:15.540 I'm,

01:16:16.640 my whole life

01:16:17.740 has been trying

01:16:18.300 to, you know,

01:16:19.260 to build agencies

01:16:20.280 and,

01:16:20.900 and,

01:16:21.360 and assure

01:16:23.320 integrity in them,

01:16:24.380 but all of those

01:16:26.260 agencies are

01:16:27.420 what we call

01:16:28.040 captive agencies.

01:16:28.980 They are run

01:16:29.980 by the industry.

01:16:31.400 WHO gets

01:16:32.620 half of its budget

01:16:33.900 from pharmaceutical

01:16:35.740 companies

01:16:36.420 and 10%

01:16:37.180 of its budget

01:16:37.760 from Bill Gates.

01:16:39.500 The European 0.80

01:16:40.800 Medical Agency

01:16:41.740 gets half of its budget

01:16:42.980 from pharmaceutical

01:16:43.740 companies.

01:16:44.660 The FDA

01:16:45.220 gets half of its budget

01:16:46.580 from pharmaceutical

01:16:47.340 companies.

01:16:48.200 The CDC

01:16:48.800 spends a 45%

01:16:52.660 of its budget

01:16:53.400 on vaccines.

01:16:56.620 And so,

01:16:57.560 you know,

01:16:58.000 if we shouldn't

01:16:59.440 have that situation,

01:17:00.720 those companies

01:17:01.300 should not be taking

01:17:02.220 any money

01:17:03.080 from the industries

01:17:04.740 they're supposed

01:17:05.240 to regulate.

01:17:06.520 And because of that,

01:17:08.020 they are owned

01:17:08.580 by those industries

01:17:09.440 and we're not getting

01:17:10.180 good science

01:17:10.880 and we're not getting

01:17:11.460 good policy

01:17:12.180 and we're not getting

01:17:12.840 good regulation.

01:17:14.640 Robert,

01:17:15.380 you know,

01:17:16.100 the topic of autism

01:17:17.240 obviously has a lot

01:17:18.060 to do with vaccine

01:17:18.740 and it's part

01:17:19.660 of this entire

01:17:20.160 conversation

01:17:20.680 that we're having.

01:17:21.880 Have scientists

01:17:23.320 and proper research

01:17:24.520 been able to prove

01:17:25.320 what causes autism?

01:17:28.320 Well,

01:17:29.440 listen,

01:17:30.960 the answer to that

01:17:34.580 is that

01:17:36.540 those studies

01:17:38.040 have not

01:17:38.860 systematically been done.

01:17:41.040 There are many,

01:17:41.860 many studies

01:17:42.540 studies that link

01:17:43.240 autism to vaccines.

01:17:45.940 We have listed

01:17:47.600 on our website

01:17:49.500 several hundred studies

01:17:52.060 saying,

01:17:53.580 suggesting in various ways

01:17:55.960 that not only

01:17:58.180 do vaccines

01:17:59.220 cause autism

01:17:59.960 but actually

01:18:00.900 looking at

01:18:01.900 the specific

01:18:02.460 mechanisms

01:18:03.260 by which

01:18:04.080 they cause autism.

01:18:05.100 So I don't think

01:18:06.080 there's any

01:18:06.840 scientific question

01:18:08.900 that vaccines

01:18:09.680 cause autism.

01:18:10.480 if you actually

01:18:11.180 read the science,

01:18:13.020 the problem

01:18:13.500 is CDC

01:18:14.520 has

01:18:15.840 ginned up

01:18:20.240 17 studies.

01:18:23.060 All of those studies

01:18:24.360 have flaws

01:18:26.080 and those studies

01:18:27.200 are all epidemiological

01:18:28.700 studies,

01:18:29.380 meaning their populations

01:18:30.340 and none of them

01:18:30.960 are animal studies,

01:18:32.080 none of them

01:18:32.400 are pharmacological studies,

01:18:33.900 none of them

01:18:34.240 are toxicity studies.

01:18:35.460 and those studies

01:18:37.940 are,

01:18:39.540 you know,

01:18:39.740 they looked at

01:18:40.340 big populations

01:18:41.200 and they said

01:18:41.900 we couldn't find

01:18:43.480 a link here

01:18:44.360 but

01:18:44.760 the problem is

01:18:46.480 they were all done

01:18:47.220 by pharmaceutical

01:18:48.020 industry scientists,

01:18:49.380 none of them did

01:18:50.400 and they all

01:18:51.880 either look at

01:18:53.080 one vaccine,

01:18:54.000 the MMR,

01:18:54.760 which is given

01:18:55.340 when the children

01:18:56.100 are quite old

01:18:56.920 and then two

01:18:59.340 find aerosol.

01:19:01.540 So that's the only

01:19:02.400 vaccine,

01:19:03.060 one vaccine

01:19:03.620 has ever been studied.

01:19:04.500 And it's not

01:19:06.160 the biggest suspect.

01:19:07.620 So the suspects

01:19:08.760 are the five vaccines

01:19:10.580 that are given

01:19:11.200 during the first

01:19:12.700 five months of life.

01:19:14.760 None of them

01:19:15.240 have ever been studied.

01:19:16.200 And the Institute

01:19:16.920 of Medicine,

01:19:17.880 which is the ultimate

01:19:18.960 arbiter of vaccine science,

01:19:20.900 you don't have to listen

01:19:21.780 to Bobby Kennedy.

01:19:23.740 The Institute of Medicine

01:19:24.920 looks over the shoulder

01:19:28.180 of the CDC

01:19:28.940 and HHS

01:19:30.080 and tells them

01:19:31.640 whether they actually

01:19:33.140 have done the studies

01:19:34.120 that are necessary.

01:19:36.340 The IOM looked

01:19:37.300 at all the vaccine

01:19:38.340 studies that have been

01:19:39.300 done in 91,

01:19:41.000 in 94,

01:19:42.220 in 2011,

01:19:43.380 and in 2014.

01:19:44.780 And what they said

01:19:45.660 in every one

01:19:46.540 of those findings

01:19:48.060 is they've said,

01:19:50.240 CDC has never done

01:19:51.520 the studies

01:19:52.060 that it needs to do.

01:19:53.060 And they've scolded,

01:19:54.260 they've chided,

01:19:55.120 they've begged,

01:19:55.860 they've pleaded,

01:19:56.740 and CDC has refused

01:19:58.100 to do those studies.

01:19:59.920 Oh, what I'm saying,

01:20:01.000 CDC does not have

01:20:02.580 those studies

01:20:03.300 that show the link.

01:20:04.960 Independent scientists

01:20:06.140 have done those studies.

01:20:07.560 If you want to see them,

01:20:08.960 come to our website,

01:20:10.240 Children's Health Defense,

01:20:11.380 and we have them

01:20:11.960 outlined there.

01:20:12.680 And you can read

01:20:13.380 the abstracts,

01:20:14.300 you can read

01:20:14.740 the whole study,

01:20:16.380 you can make up

01:20:16.980 your own mind.

01:20:17.780 But I've made up mine,

01:20:19.120 and it's very,

01:20:20.140 very clear.

01:20:21.580 What are...

01:20:22.140 There's a terrific book

01:20:23.440 by J.B. Hanley

01:20:25.520 called

01:20:25.820 How to End

01:20:26.440 the Autism Epidemic, 0.77

01:20:27.540 which is a really good

01:20:28.680 summary of the current science.

01:20:32.600 So what are pro-vaccine folks

01:20:35.280 saying causes autism?

01:20:36.480 What are anti-vaccine folks

01:20:38.420 saying causes autism?

01:20:39.700 Well, the pro-vaccine folks 0.94

01:20:41.580 are in a bad position.

01:20:44.580 Because what they have to say

01:20:46.940 is they can't really...

01:20:49.080 What they'll say is,

01:20:52.080 well, CDC has these studies

01:20:54.820 that show it doesn't

01:20:55.680 cause autism.

01:20:56.340 And that's the only studies

01:20:57.340 they look at.

01:20:57.940 They won't look at the

01:20:58.680 hundreds of studies

01:20:59.500 that show it does.

01:21:00.420 They just look at those

01:21:01.360 17 studies.

01:21:03.220 The Institute of Medicine

01:21:04.160 has said those studies

01:21:05.520 are no good.

01:21:07.880 So what they do is

01:21:09.760 they take the tact

01:21:11.060 of saying something

01:21:12.340 that's so absurd

01:21:13.580 that it's laughable.

01:21:15.840 They say there is

01:21:16.900 no autism epidemic.

01:21:19.400 That people are just

01:21:20.480 noticing autism more.

01:21:24.060 And, you know,

01:21:25.680 anybody...

01:21:26.440 I mean, I...

01:21:27.120 Listen, I grew up,

01:21:28.320 as I said,

01:21:28.900 on the spirit tip

01:21:29.700 of, you know,

01:21:31.280 intellectual disabilities.

01:21:32.640 I was around...

01:21:33.540 You know, I was working

01:21:34.580 in Special Olympics

01:21:35.220 when I was a kid.

01:21:37.360 We never saw kids

01:21:38.960 that were...

01:21:39.960 that had actually

01:21:40.660 full-blown autism

01:21:41.600 like what you see today.

01:21:42.780 But here's the real...

01:21:44.480 the real rebuttal

01:21:46.860 to that claim

01:21:48.220 that autism...

01:21:49.060 we're just doing

01:21:49.720 better diagnoses today.

01:21:52.140 If that were true,

01:21:55.000 then where are all

01:21:56.680 the 66-year-old men

01:21:58.280 with full-blown autism

01:22:00.380 in my entire life,

01:22:02.840 having worked

01:22:03.900 in Waseya,

01:22:04.640 I'm for the retarded,

01:22:05.800 having worked

01:22:07.060 in Special Olympics,

01:22:07.860 I have never seen

01:22:09.220 somebody my age

01:22:10.800 with full-blown autism.

01:22:12.320 A man walking

01:22:14.600 in the mall

01:22:15.320 wearing diapers,

01:22:17.900 wearing a helmet,

01:22:19.180 headbanging,

01:22:20.340 non-verbal,

01:22:21.540 non-toilet train,

01:22:23.360 stimming,

01:22:24.860 toe walking.

01:22:26.380 You don't see it.

01:22:27.540 I've never seen it

01:22:28.820 in my life.

01:22:30.440 And yet,

01:22:31.340 you know,

01:22:31.840 it's one in 34 kids

01:22:33.460 in my children's generation,

01:22:36.740 in the vaccine generation.

01:22:38.100 And so the question is,

01:22:40.160 you cannot credibly say

01:22:41.880 it's always been with us

01:22:43.400 because if it's always

01:22:44.400 been with us,

01:22:45.100 it would still be here

01:22:46.380 in my generation.

01:22:48.460 And they've been saying

01:22:49.860 that since 2004.

01:22:54.040 And yet,

01:22:54.640 even since 2004,

01:22:57.160 it's gone up

01:22:58.160 600 or 700 percent.

01:23:00.100 So it's still climbing.

01:23:01.880 And so it's completely

01:23:03.220 incredible.

01:23:04.300 And what they really

01:23:05.160 try to do is avoid

01:23:06.200 having the conversation.

01:23:08.420 Nobody's going to have

01:23:09.280 this debate with me.

01:23:10.880 Nobody's going to sit down

01:23:12.200 and argue to my face.

01:23:13.720 Also, there's a lot of science.

01:23:16.260 UC Davis did a study.

01:23:17.860 There's dozens of studies

01:23:19.420 that say,

01:23:20.000 no,

01:23:20.740 the autism epidemic

01:23:21.620 is real.

01:23:23.160 It's happening.

01:23:24.100 It's affecting kids.

01:23:25.420 It's not affecting adults.

01:23:27.220 And, you know,

01:23:28.160 we don't know

01:23:28.700 where it's coming from.

01:23:30.400 If a debate

01:23:31.380 could be set up,

01:23:32.380 who'd be the main

01:23:33.160 prominent voice

01:23:33.980 for you to debate against?

01:23:35.480 Well, the best people

01:23:36.360 for me to debate

01:23:37.420 would be Fauci.

01:23:39.240 But, you know,

01:23:41.300 if Fauci can say

01:23:42.160 I'm a government official,

01:23:43.140 I'm not going to

01:23:43.820 lower myself

01:23:44.600 into the debate to you.

01:23:46.160 There's a lot of academics,

01:23:48.280 people like Ian Lipkin

01:23:50.320 at Columbia,

01:23:51.820 Peter Hotez

01:23:53.120 at Baylor University

01:23:54.880 in Texas,

01:23:55.800 and these are people

01:23:56.720 who have thrust themselves

01:23:58.120 to the forefront

01:23:59.840 of defending vaccines.

01:24:01.720 Paul Offit,

01:24:03.100 Children's Hospital

01:24:04.280 of Philadelphia.

01:24:05.640 These are vaccine developers.

01:24:07.340 There are people

01:24:08.200 who are at the forefront.

01:24:09.380 There are people

01:24:09.900 who have deliberately

01:24:11.060 they're the ones

01:24:12.220 who go on TV,

01:24:13.400 go on CNN,

01:24:14.280 go on Fox,

01:24:15.060 go on, you know,

01:24:16.180 write articles

01:24:17.160 from the New York Times,

01:24:19.160 have thrust themselves

01:24:20.060 to the forefront of this.

01:24:21.700 None of them

01:24:22.300 will debate me.

01:24:23.620 They're all terrified.

01:24:25.340 They will not.

01:24:25.980 And it's not because

01:24:26.740 I'm a great debater.

01:24:28.640 It's because they know

01:24:29.800 that the science

01:24:30.480 speaks for itself

01:24:31.240 and I do know the science

01:24:32.700 and I know it

01:24:33.400 backward and forward.

01:24:34.400 I know it in many cases

01:24:35.660 better than they do

01:24:36.520 because I actually

01:24:37.500 am looking at it critically.

01:24:39.960 And I've seen the studies

01:24:41.080 they cite

01:24:41.740 and I know

01:24:42.500 what the flaws are in them

01:24:43.680 and they have not,

01:24:45.460 you know,

01:24:45.680 I've sent them

01:24:46.540 to the studies I cite

01:24:47.580 but I know

01:24:48.040 they don't read them

01:24:48.700 because they send me

01:24:49.480 back nonsense

01:24:50.440 or nothing at all.

01:24:52.540 And none of them

01:24:53.380 will debate me.

01:24:54.120 And in fact,

01:24:55.500 if anybody else

01:24:56.480 tries to debate me,

01:24:57.640 like for example,

01:24:59.480 several months ago,

01:25:00.680 the Connecticut

01:25:01.880 State Legislature

01:25:02.940 was considering

01:25:04.700 a bill

01:25:05.520 to repeal

01:25:06.480 vaccine exemptions

01:25:07.580 and they asked

01:25:09.720 me to come

01:25:10.380 to Connecticut

01:25:11.220 and debate,

01:25:12.620 do a debate.

01:25:13.580 And then they

01:25:14.100 tried to stack

01:25:14.940 the debate against me

01:25:15.920 so they put

01:25:16.560 five Yale

01:25:17.780 virologists

01:25:19.680 and immunologists

01:25:20.600 to come to that debate

01:25:21.880 and I was going

01:25:22.740 to have eight minutes

01:25:23.520 and each one of them

01:25:24.440 were going to have

01:25:24.980 eight minutes.

01:25:26.560 It was stacked against me

01:25:27.660 but I was okay

01:25:29.040 with those odds

01:25:29.860 because I know

01:25:30.360 I'm going to win

01:25:30.800 that debate anyway.

01:25:32.620 I flew across

01:25:33.620 the country

01:25:34.140 and got there

01:25:35.800 and nobody showed up.

01:25:37.240 And that's happened

01:25:37.960 to me dozens of times

01:25:39.500 where people agree

01:25:40.540 to debate me

01:25:41.200 but then they get

01:25:41.920 the memo.

01:25:42.700 People call them,

01:25:43.900 people contact them

01:25:44.900 and say,

01:25:45.400 you cannot debate him.

01:25:47.460 Nobody will debate me.

01:25:49.220 Well, if we can

01:25:49.880 coordinate it,

01:25:50.400 you're open to it.

01:25:51.440 Yes, if we...

01:25:51.780 Oh, yeah,

01:25:52.280 in a minute,

01:25:53.020 I'll debate it

01:25:53.600 anybody, anytime.

01:25:55.080 Okay, good.

01:25:55.660 On our end.

01:25:57.380 We'll see what we can do

01:25:58.180 if we can get creative there.

01:25:59.360 By the way,

01:25:59.760 just for education purposes,

01:26:01.220 what's the difference

01:26:01.940 between the 1986 Act

01:26:04.440 when they came out

01:26:05.040 with the National Childhood

01:26:06.080 Vaccine Injury Act

01:26:07.200 versus the 2011 Brusevitz

01:26:09.400 versus Wyatt?

01:26:12.520 The Brusevitz case

01:26:14.300 was interpreting the Act.

01:26:16.600 So what happened

01:26:18.340 is the Act said

01:26:19.700 you have to go...

01:26:21.700 The Act actually,

01:26:23.640 the Brusevitz case

01:26:24.700 really killed us

01:26:25.700 and killed people

01:26:26.540 for a vaccine engine

01:26:27.420 were 5,400 people

01:26:30.980 who said,

01:26:31.860 my kid got autism

01:26:32.760 from a vaccine

01:26:33.500 and they all descended

01:26:34.580 on the vaccine court

01:26:35.700 at once.

01:26:36.960 You know,

01:26:37.280 the Act,

01:26:38.340 the 1986 Act

01:26:39.980 set up

01:26:40.620 a vaccine court

01:26:42.660 where you're not

01:26:44.540 suing the company

01:26:45.380 that injured you.

01:26:46.400 You're suing...

01:26:47.180 You're petitioning

01:26:48.140 the United States

01:26:48.860 government

01:26:49.320 for redress

01:26:52.120 because the Vaccine Act

01:26:54.340 recognized vaccines

01:26:56.280 cannot be safely made.

01:26:57.560 They're unavoidably unsafe.

01:26:59.280 That's the quote.

01:27:01.100 And that we have to...

01:27:03.060 Therefore,

01:27:03.960 people who get injured

01:27:05.360 by vaccines,

01:27:06.480 by mandatory vaccines,

01:27:07.780 are making a sacrifice

01:27:10.900 for the nation.

01:27:11.760 and they should be

01:27:13.500 fairly compensated.

01:27:15.480 And so they set up

01:27:16.400 a vaccine court

01:27:17.320 that was supposed

01:27:18.300 to instantly pay them.

01:27:21.920 And the vaccine court

01:27:23.300 got overwhelmed.

01:27:24.720 It immediately got

01:27:25.780 5,400 people

01:27:27.020 coming in

01:27:27.540 and saying,

01:27:28.040 my child got autism

01:27:29.080 from the vaccine.

01:27:30.880 It would have bankrupted

01:27:31.860 the whole program

01:27:32.660 overnight.

01:27:33.380 So they had to get rid

01:27:34.320 of those cases.

01:27:35.380 And the government

01:27:36.000 fought them

01:27:36.600 and fought them

01:27:37.080 and fought them

01:27:37.580 for years.

01:27:37.980 It finally ended up

01:27:39.100 in the Supreme Court.

01:27:41.120 And the Supreme Court,

01:27:42.560 the way the act

01:27:43.580 was set up

01:27:44.240 is that you could

01:27:45.140 go to the vaccine court

01:27:46.140 and get your compensation.

01:27:47.260 But if you didn't

01:27:48.120 like the settlement,

01:27:50.340 you could withdraw

01:27:51.120 and you could go

01:27:51.660 to a regular court.

01:27:53.380 And so,

01:27:54.560 you know,

01:27:54.800 we weren't completely

01:27:55.600 foreclosed.

01:27:56.620 People who were injured

01:27:57.480 could still get redressed.

01:27:59.800 The Supreme Court

01:28:00.660 gave us this wacky decision

01:28:02.760 that said that

01:28:04.760 if you do leave

01:28:06.000 the vaccine court

01:28:06.900 and go to a regular court,

01:28:07.980 they cannot give you,

01:28:09.680 they cannot give you

01:28:11.160 an award for product liability.

01:28:14.000 In other words,

01:28:15.040 you can't sue them

01:28:15.940 like you can sue anybody else.

01:28:17.920 You know,

01:28:18.260 your product was dangerous.

01:28:20.580 I took it.

01:28:21.300 I got injured.

01:28:22.160 Give me the money.

01:28:23.320 You know,

01:28:23.600 give me redress.

01:28:24.500 Make me whole.

01:28:26.220 You can't do that.

01:28:27.620 So you can sue them

01:28:28.620 for fraud,

01:28:30.340 but you cannot sue them

01:28:32.060 for product liability.

01:28:33.060 So it basically

01:28:33.700 threw us out of court.

01:28:35.020 We have no jury trial,

01:28:36.940 you know,

01:28:37.160 and no trial.

01:28:38.600 Most people are injured.

01:28:40.400 The vaccine court

01:28:41.080 won't even hear their cases.

01:28:43.400 That's an interesting story.

01:28:44.660 It's the story

01:28:45.200 of the little girl,

01:28:47.300 Hannah, right?

01:28:47.800 I think it's a five-year-old.

01:28:50.440 Hannah was one of the stories

01:28:51.840 that was brought up.

01:28:53.420 Hannah Pauling

01:28:54.320 was an eight-year-old

01:28:55.600 who got autism

01:28:57.420 from a vaccine,

01:28:58.280 and the problem was

01:29:00.580 that her father

01:29:05.400 was a neurologist,

01:29:07.460 a famous neurologist

01:29:08.560 from Johns Hopkins,

01:29:10.200 and her mother 0.91

01:29:11.780 was a nurse

01:29:13.240 and a lawyer,

01:29:14.600 and this girl

01:29:15.700 was a very gifted girl.

01:29:18.700 She exceeded

01:29:19.340 all her milestones

01:29:20.240 when she was right,

01:29:21.180 and they had lots

01:29:22.180 of video

01:29:22.760 right up to the day

01:29:25.060 that she took

01:29:25.620 those vaccines.

01:29:27.400 She got it

01:29:27.820 at her 36-month

01:29:29.360 wellness visit.

01:29:31.340 We got a battery

01:29:32.000 of vaccines,

01:29:33.220 and she launched 0.99

01:29:34.600 her brain.

01:29:36.180 She went,

01:29:36.700 you know,

01:29:36.880 the lights went off

01:29:37.680 on her.

01:29:38.180 They had before

01:29:38.920 and after,

01:29:39.680 and they had

01:29:40.300 professional doctors

01:29:41.700 who had observed

01:29:42.540 everything that happened,

01:29:43.600 and they had

01:29:47.080 to get rid of it,

01:29:47.660 and that was

01:29:48.180 one of the bellwether cases.

01:29:50.000 So if she,

01:29:51.520 the way that they

01:29:52.280 decided this case

01:29:53.460 and these cases,

01:29:55.080 50 or 100 cases

01:29:56.160 in the vaccine court,

01:29:56.980 is they said,

01:29:58.720 we're not going to try them all.

01:29:59.880 We'll try six of them,

01:30:01.940 and if any of those six

01:30:03.700 wins,

01:30:05.240 then we'll try them all.

01:30:07.100 And so they really

01:30:08.100 were under pressure

01:30:08.820 to get rid of

01:30:09.960 all six of those.

01:30:11.980 And unfortunately for them,

01:30:13.420 Hannah Pauling's case

01:30:14.460 was won,

01:30:15.360 and there was no way

01:30:16.200 for them to win it.

01:30:17.240 So what they did was

01:30:18.480 they secretly

01:30:19.140 went into a back room,

01:30:21.540 paid $20 million

01:30:22.620 to her family,

01:30:24.640 and said,

01:30:25.360 keep your mouth shut. 0.65

01:30:26.380 We're going to seal this case.

01:30:27.780 We're going to drop it

01:30:28.520 from the bellwether cases

01:30:29.620 and substitute another one.

01:30:32.040 And that's how

01:30:32.740 they defrauded

01:30:33.420 all those people

01:30:34.280 out of their,

01:30:35.100 you know,

01:30:35.620 compensation and vaccine court.

01:30:37.460 Is that proven?

01:30:38.660 The parents,

01:30:39.320 oh yeah,

01:30:39.760 the parents are,

01:30:41.080 you know,

01:30:41.320 were very,

01:30:42.120 very troubled,

01:30:42.760 but they kind of

01:30:43.560 had to do

01:30:43.980 what was right

01:30:44.540 for their daughter

01:30:45.160 and their daughter

01:30:46.160 really needed

01:30:46.960 lifetime care.

01:30:48.920 And the parents

01:30:49.800 immediately took the deal

01:30:51.100 but then immediately

01:30:52.080 petitioned to the court

01:30:53.820 for a full disclosure.

01:30:58.280 They filed a motion

01:30:59.400 for full transparency

01:31:01.420 of that

01:31:02.280 because they thought

01:31:03.220 they'd get a chance

01:31:04.120 to,

01:31:05.500 even if they signed

01:31:06.340 the deal

01:31:06.680 and it got unsealed

01:31:07.520 and they made the agreement

01:31:08.460 they wouldn't talk about it,

01:31:09.960 that the court

01:31:10.840 wouldn't allow that.

01:31:13.100 In the end,

01:31:13.880 the court refused

01:31:14.800 to hear their petition

01:31:16.260 and they were stuck

01:31:17.600 keeping their mouths

01:31:18.380 shut for years.

01:31:19.320 And then it came out

01:31:20.440 and, you know,

01:31:21.260 I'm friends

01:31:23.800 and allies

01:31:24.620 with her parents

01:31:25.840 and her parents

01:31:26.480 have spent their lives,

01:31:27.840 you know,

01:31:28.260 fighting for these

01:31:28.960 other children.

01:31:29.620 Very interesting.

01:31:32.820 I didn't know

01:31:33.760 about the $20 million

01:31:34.560 and respect to the family

01:31:37.100 to wanting to make it public

01:31:38.160 so everybody knew.

01:31:39.260 By the way,

01:31:39.740 Bill Gates,

01:31:40.400 you know,

01:31:40.780 you had a post

01:31:42.020 that you put on Instagram.

01:31:43.960 It got a lot of comments.

01:31:45.620 There were a lot of things

01:31:46.580 you said about him.

01:31:47.320 When I bring up Bill Gates

01:31:48.700 in a lot of conversations,

01:31:50.600 most people will say,

01:31:53.580 good man,

01:31:54.380 doing good things.

01:31:55.460 Most of them will bring up

01:31:56.500 the Melinda and Bill Gates Foundation

01:31:57.880 and, you know,

01:31:59.160 you hear Melinda Gates

01:32:00.140 talking about the fact

01:32:01.160 that we're getting closer

01:32:02.240 to wiping several deadly diseases

01:32:04.940 off the face of the planet,

01:32:06.060 but we couldn't,

01:32:07.520 we could easily blow it.

01:32:08.680 I think in an article

01:32:09.420 she talked about

01:32:10.120 how when they started

01:32:10.880 and in 2000

01:32:11.620 they put nearly $50 billion

01:32:12.940 of money into it

01:32:14.060 and polio has gone

01:32:15.740 from 350,000 cases

01:32:17.400 in ADA

01:32:17.860 to 2017

01:32:18.740 having only 22

01:32:19.800 and 2018

01:32:21.040 being only 29.

01:32:22.860 What is your opinion

01:32:24.020 of the global vaccine action plan

01:32:25.760 that Bill and Melinda Gates Foundation

01:32:27.660 is financially backing

01:32:29.320 and again,

01:32:30.540 I don't want to read

01:32:31.180 the entire Instagram post,

01:32:32.320 but what is your thoughts

01:32:33.340 and opinions

01:32:33.840 on Bill and Melinda Gates?

01:32:35.140 Well, I mean,

01:32:35.920 you know,

01:32:36.900 the devil is in the details

01:32:39.100 and as it turns out

01:32:42.060 that polio vaccine,

01:32:43.360 which they said

01:32:44.500 was going to eradicate polio

01:32:45.780 has actually caused

01:32:47.080 polio epidemics

01:32:47.960 around the world

01:32:48.680 in places where

01:32:49.780 they haven't seen polio

01:32:50.940 in decades

01:32:51.580 like the Philippines,

01:32:52.700 like the Congo,

01:32:53.280 like Afghanistan 0.93

01:32:54.400 and in India

01:32:56.320 around 490,000 kids

01:33:00.880 have been paralyzed.

01:33:02.120 Oh, you know,

01:33:02.680 for them to say

01:33:03.440 that, you know,

01:33:04.680 we're almost there

01:33:05.720 and it's,

01:33:07.240 I'm sure what Bill

01:33:08.840 and Melinda Gates

01:33:09.760 will try to do

01:33:10.500 at one point

01:33:11.180 is to blame it

01:33:12.480 on anti-vaxxers,

01:33:13.620 but even WHO admits

01:33:16.180 that 70% of the polio

01:33:18.640 today on Earth

01:33:19.940 is coming from

01:33:20.820 Gates' vaccine.

01:33:23.220 It was a bad idea.

01:33:25.260 The vaccine

01:33:25.780 is badly flawed

01:33:27.400 and the way

01:33:29.460 that they used it

01:33:30.520 was hair brained.

01:33:33.100 You know,

01:33:33.240 they're giving kids

01:33:34.260 50 polio inoculations

01:33:36.860 or immunizations

01:33:39.640 before age five

01:33:41.420 and those kids

01:33:43.220 are,

01:33:44.880 you know,

01:33:45.100 the polio

01:33:45.580 is coming out

01:33:46.220 in their fecal material

01:33:47.340 so it spreads

01:33:48.540 the disease

01:33:49.320 and that's what

01:33:51.400 they did in the Congo

01:33:52.300 but you can,

01:33:53.240 you know,

01:33:53.500 when you look,

01:33:54.440 when people look

01:33:54.980 at polio

01:33:55.480 and public health

01:33:56.500 people look at polio

01:33:58.460 they can tell

01:33:59.080 whether that polio

01:33:59.920 is wild polio

01:34:00.920 or it's vaccine polio

01:34:02.040 and 70%

01:34:04.040 of the cases

01:34:04.680 now on Earth

01:34:05.760 at least

01:34:06.880 are vaccine polio

01:34:08.540 and that means

01:34:09.380 Gates' vaccine

01:34:10.420 you know,

01:34:13.280 you're asking me

01:34:14.340 kind of a broader

01:34:15.060 question about

01:34:15.960 what does Gates

01:34:17.480 have to do.

01:34:19.080 I think that Gates

01:34:20.700 is well intended

01:34:21.940 the way that,

01:34:22.800 you know,

01:34:23.220 missionaries

01:34:23.900 who brought

01:34:24.480 smallpox

01:34:25.340 to the Indians

01:34:26.540 were well intended.

01:34:28.640 I think he also,

01:34:30.620 he believes

01:34:31.640 that

01:34:32.200 he is somehow

01:34:34.780 ordained

01:34:35.720 by,

01:34:36.460 you know,

01:34:37.100 divinely

01:34:37.680 to bring salvation

01:34:40.660 to the world

01:34:41.280 through technology

01:34:42.240 and I think

01:34:43.200 that notion

01:34:44.400 is probably fortified

01:34:45.760 by his experience

01:34:47.740 with Microsoft

01:34:48.420 where he really

01:34:49.260 did change

01:34:50.160 humanity

01:34:51.000 and the planet

01:34:51.880 in the way

01:34:52.320 that we,

01:34:52.860 you know,

01:34:53.160 communicate with each other

01:34:54.340 and he really sees

01:34:57.360 a vaccine

01:34:58.380 or technology

01:34:59.900 in general

01:35:00.500 as salvation

01:35:01.540 and I think

01:35:02.520 that that

01:35:03.080 has given him

01:35:03.920 a blindness

01:35:04.520 and statisticians

01:35:07.800 call that,

01:35:08.560 have a name

01:35:09.000 for that blindness

01:35:09.800 and it's called

01:35:10.900 confirmation bias

01:35:12.260 where he will,

01:35:14.920 he will see

01:35:16.540 and incorporate

01:35:17.420 and integrate

01:35:18.100 data

01:35:18.680 that supports

01:35:20.140 his worldview

01:35:20.880 and he refused

01:35:21.960 to see data

01:35:22.880 that don't,

01:35:23.500 like the DTP study

01:35:25.100 I was telling you

01:35:25.840 about by Morgensen.

01:35:27.900 How can he continue

01:35:29.080 to insist

01:35:29.760 that African children

01:35:30.620 get that shot

01:35:31.460 when he knows

01:35:32.180 it's probably killing

01:35:32.860 millions of kids

01:35:33.860 and yet there's

01:35:35.720 a hard-headedness

01:35:36.820 that is,

01:35:37.600 I don't think

01:35:38.320 it's from,

01:35:39.020 you know,

01:35:39.520 saying,

01:35:41.000 I'm not going

01:35:42.180 admit it's mistaken

01:35:43.000 I'm going to kill

01:35:43.560 millions of African children

01:35:44.820 but I think it's that

01:35:46.020 I'm not going to look

01:35:47.520 at the possibility

01:35:48.940 that this could have

01:35:50.000 been an error

01:35:50.500 and I'm going to

01:35:52.240 dig my heels in it

01:35:53.140 and he died,

01:35:54.940 you know,

01:35:55.200 the same thing

01:35:55.940 happened in India.

01:35:57.460 He was thrown

01:35:58.220 out of India

01:35:58.920 because of an experiment

01:36:01.180 that he did

01:36:01.800 on 26,000

01:36:04.340 illiterate tribal girls 0.76

01:36:05.820 in the northern territories

01:36:07.340 where he tested

01:36:08.220 a very, very dangerous

01:36:09.440 HPV vaccine

01:36:10.540 on them

01:36:11.280 and I think

01:36:11.960 2,600

01:36:12.720 had either lost

01:36:15.140 their capacity

01:36:16.520 to have children

01:36:17.400 or have horrendous

01:36:18.880 autoimmune diseases

01:36:19.900 and when the Indian

01:36:22.040 government went in

01:36:23.000 they were horrified

01:36:23.900 to investigate

01:36:24.740 they found out

01:36:25.660 that Gates' operatives

01:36:26.980 had, you know,

01:36:28.140 had bullied

01:36:28.820 these families

01:36:30.360 into signing

01:36:31.500 you know,

01:36:35.260 confirmation agreements

01:36:36.720 and they were illiterate 0.84

01:36:38.700 that they didn't understand

01:36:39.920 consent agreements

01:36:41.660 that they didn't understand

01:36:43.180 etc.

01:36:43.760 and they treated

01:36:44.880 unethically

01:36:45.420 they weren't providing

01:36:46.220 medical care

01:36:47.900 to the kids

01:36:48.360 they injured

01:36:48.900 or anything like that

01:36:49.880 so

01:36:50.200 he had a similar

01:36:52.140 scandal

01:36:52.680 with a couple

01:36:53.580 of malaria vaccines

01:36:54.620 that they experimented

01:36:56.240 they did these

01:36:56.740 really horrendous

01:36:57.540 experiments

01:36:57.960 in Africa

01:36:58.680 I think he believes

01:37:00.900 it's okay

01:37:01.480 because he believes

01:37:02.680 so strongly

01:37:03.420 the vaccine

01:37:04.000 is going to save

01:37:04.660 people

01:37:05.100 that, you know,

01:37:05.860 the people

01:37:06.260 that he experiments

01:37:07.100 on are collateral

01:37:08.160 damage

01:37:08.860 and that, you know,

01:37:09.860 but it's kind of a

01:37:10.900 it's a worrying

01:37:13.020 posture

01:37:14.160 that, you know,

01:37:15.260 somebody with that

01:37:15.960 much power

01:37:16.760 also believes

01:37:18.340 that he is able

01:37:19.120 to play

01:37:20.860 with people's lives

01:37:21.880 and he's willing

01:37:23.220 to ignore data

01:37:24.400 so

01:37:25.660 in

01:37:27.700 his other

01:37:29.200 fixations

01:37:31.100 are GMO crops

01:37:32.620 and

01:37:33.100 this is another

01:37:34.080 problem with Gates

01:37:34.820 is he tends

01:37:35.800 in the nation

01:37:36.680 did an expose

01:37:37.620 on this

01:37:38.400 a couple of weeks ago

01:37:39.340 that

01:37:39.660 his personal investments

01:37:41.720 and his

01:37:43.840 Bill and Melinda Gates

01:37:45.460 Foundation investments

01:37:46.440 tend to be

01:37:47.320 in companies

01:37:48.100 that

01:37:48.960 benefit

01:37:50.360 from his

01:37:51.200 philanthropical

01:37:52.220 activities

01:37:52.680 so he's very

01:37:53.540 very

01:37:53.800 heavily

01:37:56.020 invested

01:37:56.660 in vaccine

01:37:57.260 companies

01:37:57.900 that are making

01:37:58.760 a killing

01:37:59.280 for the policies

01:38:00.140 that he is

01:38:00.880 pushing

01:38:02.140 or very

01:38:03.800 he's very invested

01:38:04.840 in Monsanto

01:38:05.760 he's pushing

01:38:07.340 GMO crops

01:38:08.260 and chemical

01:38:08.800 fertilizers

01:38:09.480 all over Africa

01:38:10.380 many places

01:38:11.140 where they're

01:38:11.500 clearly

01:38:11.880 inappropriate

01:38:12.600 and

01:38:14.300 he's very much

01:38:16.220 invested

01:38:16.700 in 5G

01:38:17.520 which is

01:38:19.060 kind of sinister

01:38:19.940 and he's

01:38:21.240 you know

01:38:21.500 putting a lot

01:38:22.040 of satellites

01:38:22.640 hundreds of

01:38:23.200 satellites

01:38:23.640 into orbit

01:38:24.320 he's putting

01:38:25.960 tens

01:38:26.420 of thousands

01:38:27.880 of ground

01:38:28.760 antenna

01:38:29.280 that are

01:38:30.280 not there

01:38:31.680 that

01:38:33.000 you know

01:38:34.000 what

01:38:34.240 one of his

01:38:34.960 companies

01:38:35.300 promising

01:38:35.960 is that

01:38:36.560 they will be

01:38:37.160 able to do

01:38:37.860 surveillance

01:38:38.560 with one second

01:38:39.800 delay

01:38:40.260 on every corner

01:38:41.240 of the earth

01:38:41.760 literally

01:38:42.280 every corner

01:38:43.180 of the earth

01:38:43.740 and he

01:38:45.400 also

01:38:45.940 so

01:38:46.520 and 5G

01:38:48.180 is not

01:38:48.940 about

01:38:49.400 helping you

01:38:50.420 download

01:38:51.220 your video

01:38:52.260 game quickly

01:38:53.060 you know

01:38:53.620 that's what

01:38:54.100 they're telling

01:38:54.620 you on these

01:38:55.180 glossy ads

01:38:55.960 on TV

01:38:56.460 but that

01:38:56.980 has nothing

01:38:57.420 to do

01:38:57.700 you care

01:38:58.600 if it takes

01:39:00.300 you 20 seconds

01:39:01.040 or 10 seconds

01:39:01.920 to download

01:39:03.100 a video game

01:39:03.860 it's not

01:39:04.260 going to really

01:39:04.680 change your

01:39:05.180 life

01:39:05.520 5G has

01:39:06.920 nothing to do

01:39:07.460 with that

01:39:07.760 5G is about

01:39:09.000 surveillance

01:39:10.340 and it's about

01:39:11.400 data harvesting

01:39:12.640 the biggest

01:39:13.520 repository of wealth

01:39:15.220 in the world

01:39:15.720 right now

01:39:16.300 it's not gold

01:39:17.040 it's not oil

01:39:17.840 it's data

01:39:18.620 and we now

01:39:20.420 have a capacity

01:39:21.360 by connecting

01:39:23.300 all these devices

01:39:24.300 it's called

01:39:24.780 the connectedness

01:39:25.600 of things

01:39:26.240 you connect

01:39:27.880 your Apple watch

01:39:29.540 to the

01:39:31.880 to the internet

01:39:32.780 you connect

01:39:33.660 your microwave

01:39:34.340 oven

01:39:34.680 you know

01:39:35.100 it's a smart

01:39:35.740 microwave

01:39:36.400 you connect

01:39:37.980 your Alexis

01:39:38.740 which is

01:39:39.500 listening to your

01:39:40.500 conversations

01:39:41.080 all day

01:39:41.780 your Siri

01:39:42.620 which is listening

01:39:43.400 to your cell phone

01:39:44.260 which is listening

01:39:44.780 to your conversations

01:39:45.640 you can

01:39:46.600 you know

01:39:47.060 what your buying

01:39:47.760 habits are

01:39:48.400 you know

01:39:48.760 your heart rate

01:39:49.800 you know

01:39:51.180 everything about you

01:39:52.420 and all that

01:39:53.500 information is data

01:39:55.440 that if it is

01:39:56.360 characterized

01:39:56.860 in an archive

01:39:57.580 is useful

01:39:58.880 and saleable

01:39:59.820 because it's telling

01:40:01.040 these companies

01:40:02.580 the behaviors

01:40:03.460 that will trigger

01:40:04.340 buying

01:40:05.080 reactions by you

01:40:08.280 you know

01:40:09.860 specifically

01:40:10.340 how to target you

01:40:11.600 where to target you

01:40:12.780 what time of the day

01:40:13.840 what kind of music

01:40:14.740 that you like

01:40:15.700 what kind of

01:40:16.380 what is going to

01:40:17.220 appeal to you

01:40:17.800 and get your attention

01:40:18.620 and get you

01:40:19.040 to buy stuff

01:40:19.800 and those

01:40:21.480 algorithms

01:40:22.180 are so powerful

01:40:23.120 that they're almost

01:40:23.860 irresistible

01:40:24.600 and that's what

01:40:25.640 he's harvesting

01:40:26.320 so he

01:40:27.000 you know

01:40:27.540 he's going to be

01:40:28.780 able to look at

01:40:29.900 through facial

01:40:31.420 recognition

01:40:32.020 have complete

01:40:32.880 control of our

01:40:33.660 society

01:40:34.200 you know

01:40:34.720 the other day

01:40:35.560 there were

01:40:37.040 surfers

01:40:38.080 who were

01:40:40.100 um

01:40:40.660 the police

01:40:42.120 were down

01:40:42.480 at Point Dome

01:40:43.080 which is near

01:40:43.640 where I live

01:40:44.300 and they were

01:40:44.880 giving surfers

01:40:46.180 thousand dollar

01:40:47.220 tickets

01:40:47.760 right

01:40:48.640 and so that's

01:40:49.800 pretty offensive

01:40:50.760 but you can say

01:40:51.340 well that was just

01:40:52.120 overreaction

01:40:53.060 just an appalling

01:40:54.000 judgment

01:40:54.480 by these

01:40:55.120 police

01:40:55.860 ticketing people

01:40:57.520 from going in the ocean

01:40:58.480 the sunshine

01:40:59.140 where you're supposed

01:40:59.840 to be

01:41:00.400 you know

01:41:00.780 to boost your

01:41:02.080 immune system

01:41:02.660 and um

01:41:04.760 but

01:41:05.420 imagine if you

01:41:06.760 don't need the police

01:41:07.680 imagine if we live

01:41:09.640 in a world

01:41:10.220 where

01:41:11.580 your movements

01:41:12.780 are being tracked

01:41:13.540 by satellites

01:41:14.420 and by facial

01:41:15.700 recognition

01:41:16.240 and by GPS

01:41:17.480 and by

01:41:18.340 on your car

01:41:19.560 on your cell phone

01:41:20.600 so that every

01:41:21.500 moment of the day

01:41:22.300 the authorities

01:41:24.500 know where you are

01:41:25.460 and corporations

01:41:26.280 know where you are

01:41:27.140 so when you go

01:41:27.840 to the beach

01:41:28.460 they don't have

01:41:30.120 to arrest you

01:41:31.100 they just send you

01:41:31.920 a thousand dollar

01:41:32.600 bill

01:41:32.780 but not

01:41:33.220 they don't even

01:41:33.740 send it to you

01:41:34.340 they just take it

01:41:35.560 directly out of

01:41:36.500 your

01:41:36.840 cryptocurrency

01:41:38.280 you know

01:41:39.240 paycheck account

01:41:40.100 and we're all

01:41:40.920 being you know

01:41:41.680 by this

01:41:42.080 particularly this

01:41:42.740 pandemic

01:41:43.220 is training us

01:41:45.580 with new kinds

01:41:46.280 of behavior

01:41:46.800 to do what we're

01:41:48.020 told

01:41:48.380 to accept this

01:41:49.460 kind of surveillance

01:41:50.280 to accept these

01:41:51.360 constraints

01:41:51.900 on our

01:41:52.680 on our

01:41:54.060 civil rights

01:41:55.080 to allow

01:41:56.300 the government

01:41:57.020 to come in

01:41:57.840 and tell us

01:41:58.460 you stay at home

01:41:59.340 you don't go to

01:41:59.920 the beach

01:42:00.340 you don't send

01:42:01.300 your kids to

01:42:01.920 school

01:42:02.600 you don't leave

01:42:03.800 your house

01:42:04.340 and actually

01:42:05.120 accept those

01:42:06.080 kind of orders

01:42:06.740 one of the

01:42:08.120 companies

01:42:08.580 he's got

01:42:09.380 many companies

01:42:10.320 that are

01:42:11.060 installing chips

01:42:13.100 that will carry

01:42:15.120 around your

01:42:15.540 medical records

01:42:16.240 but they'll also

01:42:16.840 be capable of

01:42:17.620 carrying around

01:42:18.440 your other data

01:42:19.280 so that if a cop

01:42:20.520 pulls you over

01:42:21.640 for speeding

01:42:22.300 he can scan you

01:42:23.280 and look

01:42:24.980 and look at your

01:42:25.220 criminal record

01:42:25.980 look at your

01:42:27.080 buying history

01:42:27.940 see if you've

01:42:29.200 been to a liquor

01:42:29.720 store recently

01:42:30.660 and you know

01:42:32.520 do we really

01:42:33.540 and then

01:42:34.120 he's got another

01:42:35.100 Microsoft

01:42:35.700 just patented

01:42:37.800 a chip system

01:42:38.680 that is a

01:42:40.500 biometric

01:42:41.220 subdermal

01:42:42.420 sensor system

01:42:43.900 so it will

01:42:44.960 actually be able

01:42:45.900 to sense

01:42:46.300 brain waves

01:42:47.220 and body

01:42:49.460 signals

01:42:51.900 like heart rate

01:42:52.880 etc

01:42:53.240 and it will

01:42:55.500 assign you

01:42:57.320 tasks

01:42:58.060 in other words

01:43:00.280 you will get a

01:43:01.500 message on your

01:43:02.460 phone

01:43:02.860 to do

01:43:04.580 certain tasks

01:43:05.700 and your

01:43:06.760 tasks

01:43:07.240 will be

01:43:07.860 look at a

01:43:08.920 certain ad

01:43:09.560 when it appears

01:43:10.120 on TV

01:43:10.640 in 30 seconds

01:43:11.660 listen to this

01:43:13.580 music

01:43:14.060 walk down this

01:43:15.240 aisle

01:43:15.780 in this grocery

01:43:16.780 store

01:43:17.260 and then it

01:43:18.800 will monitor

01:43:19.440 your

01:43:20.100 your monitor

01:43:21.400 your EEG

01:43:22.140 your brain waves

01:43:23.200 your heart rate

01:43:24.460 your adrenaline

01:43:25.280 all this kind

01:43:26.360 of stuff

01:43:26.900 and it feeds

01:43:28.620 that information

01:43:29.440 to marketing

01:43:30.300 companies

01:43:31.140 and you

01:43:33.300 then get paid

01:43:34.180 for doing

01:43:34.700 that task

01:43:35.460 with crypto

01:43:36.000 currency

01:43:36.500 that goes

01:43:36.940 directly

01:43:37.300 into your

01:43:37.740 account

01:43:38.140 so you

01:43:39.880 know

01:43:40.040 these

01:43:40.520 companies

01:43:41.020 like

01:43:41.560 Elon Musk

01:43:42.960 who also

01:43:43.480 controls

01:43:43.980 all the

01:43:44.320 satellites

01:43:44.780 and Gates

01:43:46.020 you know

01:43:46.360 are going

01:43:46.660 to be

01:43:46.840 putting us

01:43:47.260 all out

01:43:47.720 of business

01:43:48.060 half the

01:43:48.600 people in

01:43:48.900 this country

01:43:49.320 make some

01:43:49.960 of their

01:43:50.180 living

01:43:50.460 driving a

01:43:51.040 car

01:43:51.320 well now

01:43:52.000 they're going

01:43:52.300 to give

01:43:52.560 us

01:43:52.860 you know

01:43:53.220 these

01:43:53.720 driverless

01:43:55.740 cars

01:43:56.080 and you're

01:43:56.420 going to

01:43:56.580 have a lot

01:43:57.100 of Americans

01:43:57.600 who are

01:43:57.880 permanently

01:43:58.260 unemployed

01:43:58.740 and they're

01:43:59.580 going to

01:44:00.080 want these

01:44:01.040 chips

01:44:01.420 because you

01:44:02.380 can make

01:44:02.740 money

01:44:03.140 by doing

01:44:03.820 these tasks

01:44:04.440 by playing

01:44:04.940 a video game

01:44:05.680 or whatever

01:44:06.260 and it's

01:44:07.800 going to

01:44:08.220 it's basically

01:44:09.280 a process

01:44:09.880 of turning

01:44:10.460 us all

01:44:11.080 into production

01:44:11.880 units

01:44:12.420 all into

01:44:13.440 enslaved

01:44:14.480 consumers

01:44:15.680 and you

01:44:18.420 know

01:44:18.600 with total

01:44:19.180 surveillance

01:44:19.680 all the time

01:44:20.280 is another

01:44:21.620 chip

01:44:22.040 which will

01:44:23.480 turn off

01:44:23.940 your ovaries

01:44:24.700 and you

01:44:26.360 know

01:44:26.580 wirelessly

01:44:27.860 I'm not

01:44:29.280 making

01:44:29.600 this up

01:44:30.260 in fact

01:44:30.820 I'm going

01:44:31.120 to publish

01:44:31.880 on it

01:44:32.260 in two

01:44:32.600 days

01:44:33.060 and you

01:44:33.420 know

01:44:33.540 all

01:44:33.880 source

01:44:34.420 and everything

01:44:34.920 else

01:44:35.380 and so

01:44:37.080 you can

01:44:37.720 look for it

01:44:38.260 on children's

01:44:38.800 health defense

01:44:39.480 and on my

01:44:40.640 Instagram

01:44:41.060 and you'll

01:44:42.520 see that

01:44:42.880 these things

01:44:43.400 are real

01:44:43.820 they're not

01:44:44.340 just from

01:44:44.740 some horrible

01:44:45.520 nightmare

01:44:45.980 they're real

01:44:46.620 and they're

01:44:47.060 happening now

01:44:47.720 and this

01:44:48.160 pandemic

01:44:48.640 is allowing

01:44:49.540 them

01:44:50.020 to change

01:44:52.020 our lives

01:44:52.700 and change

01:44:53.160 our country

01:44:53.720 and put

01:44:55.060 us under

01:44:55.780 you know

01:44:56.260 into a

01:44:56.680 permanent

01:44:57.000 surveillance

01:44:57.620 state

01:44:58.020 what would

01:45:00.000 you rank

01:45:00.420 him as

01:45:00.780 the most

01:45:01.040 powerful

01:45:01.360 man in

01:45:01.720 the world

01:45:02.120 well

01:45:03.780 he's

01:45:04.340 he's the

01:45:05.880 most powerful

01:45:06.380 man in

01:45:06.800 public health

01:45:07.380 because he

01:45:08.420 owns the

01:45:09.260 WHO

01:45:09.940 he gives

01:45:10.680 10% of

01:45:11.360 their budget

01:45:11.860 and that

01:45:12.340 you know

01:45:12.700 but that

01:45:13.380 10%

01:45:13.940 that marginal

01:45:14.600 10%

01:45:15.420 is the

01:45:16.920 10%

01:45:17.380 that they'll

01:45:17.840 beg and

01:45:18.280 roll over

01:45:18.760 for

01:45:19.100 you know

01:45:20.060 and so

01:45:20.820 he has

01:45:22.020 changed

01:45:22.560 WHO

01:45:23.140 used to

01:45:23.940 do

01:45:24.160 something

01:45:24.540 that was

01:45:24.900 really

01:45:25.140 good

01:45:25.580 which is

01:45:27.020 they understood

01:45:27.800 that

01:45:28.120 disease

01:45:29.460 is a

01:45:31.340 symptom

01:45:34.060 of

01:45:34.800 poverty

01:45:36.180 and that

01:45:37.220 if you

01:45:37.500 want to

01:45:38.120 stop

01:45:39.120 disease

01:45:40.700 you

01:45:41.640 do

01:45:42.420 development

01:45:43.040 you do

01:45:43.540 nutrition

01:45:44.060 you do

01:45:44.540 clean water

01:45:45.260 you do

01:45:45.620 sanitation

01:45:46.260 that's what

01:45:47.840 they were

01:45:48.080 doing

01:45:48.400 and Gates

01:45:49.060 came in

01:45:49.560 there and

01:45:49.980 said

01:45:50.220 we don't

01:45:51.320 want to

01:45:51.560 do that

01:45:52.000 you know

01:45:53.000 we're going

01:45:53.280 to do

01:45:53.400 a little

01:45:53.660 of that

01:45:54.100 we're going

01:45:55.760 to shift

01:45:56.160 everything

01:45:56.880 toward

01:45:57.260 vaccines

01:45:57.880 and so

01:45:59.000 you know

01:45:59.380 because he

01:45:59.880 doesn't

01:46:00.220 understand

01:46:00.940 that good

01:46:01.420 health

01:46:01.780 comes from

01:46:02.580 good

01:46:03.660 immune

01:46:03.980 system

01:46:04.280 good

01:46:04.520 nutrition

01:46:04.980 good

01:46:05.240 water

01:46:05.720 clean

01:46:06.200 water

01:46:06.460 exercise

01:46:07.120 you know

01:46:08.440 wholesome

01:46:08.980 lives

01:46:09.460 he believes

01:46:11.000 the only

01:46:11.600 path to

01:46:12.140 good health

01:46:12.660 is inside

01:46:13.580 syringe

01:46:14.240 and so

01:46:15.220 now half

01:46:16.980 the

01:46:17.300 WHO's

01:46:18.720 budget

01:46:19.080 goes to

01:46:20.000 his

01:46:20.220 pet

01:46:21.300 polio

01:46:22.000 eradication

01:46:22.800 program

01:46:23.220 which is

01:46:23.840 spreading

01:46:24.160 polio

01:46:24.640 that's not

01:46:26.080 a good

01:46:26.340 thing for

01:46:26.860 anybody

01:46:27.460 have you

01:46:28.300 had a

01:46:28.520 conversation

01:46:29.020 with him

01:46:29.480 have you

01:46:29.900 and him

01:46:30.140 ever

01:46:30.300 never

01:46:31.820 respond

01:46:34.340 never

01:46:34.640 gone back

01:46:35.120 have you

01:46:36.520 have you

01:46:36.960 I know

01:46:37.520 you went

01:46:37.840 to the

01:46:38.080 White House

01:46:38.560 and you

01:46:39.100 were getting

01:46:39.500 ready to be

01:46:40.040 part of

01:46:40.400 some kind

01:46:40.780 of a

01:46:41.220 President

01:46:42.200 Trump's

01:46:42.620 committee

01:46:42.800 have you

01:46:43.560 been

01:46:43.740 communicating

01:46:44.240 with

01:46:44.460 President

01:46:44.800 Trump

01:46:45.400 or Mike

01:46:45.900 Pence

01:46:46.140 recently

01:46:46.520 about any

01:46:46.920 of this

01:46:47.140 stuff

01:46:47.340 or no

01:46:47.720 not recently

01:46:48.620 during their

01:46:49.580 first

01:46:51.580 I'd say

01:46:53.540 four or five

01:46:54.320 months

01:46:54.760 we had a lot

01:46:55.680 of meetings

01:46:56.160 with them

01:46:57.360 but then

01:46:57.940 they took

01:46:59.000 a different

01:46:59.300 direction

01:46:59.760 you know

01:47:00.240 they gave

01:47:00.720 after

01:47:01.380 President

01:47:02.900 Trump

01:47:03.240 it was

01:47:03.720 at that

01:47:04.180 time

01:47:04.600 the

01:47:06.160 President

01:47:06.480 Elect

01:47:06.980 called me

01:47:08.760 over Christmas

01:47:09.360 and he

01:47:10.020 asked

01:47:10.380 me

01:47:10.640 to come

01:47:11.000 to

01:47:11.140 New York

01:47:12.040 and meet

01:47:12.360 with him

01:47:12.600 at Trump

01:47:12.920 Tower

01:47:13.320 and I

01:47:13.920 went

01:47:14.360 and met

01:47:15.840 with him

01:47:16.340 and Pence

01:47:17.020 and Steve

01:47:17.520 Bannon

01:47:17.960 and Rance

01:47:18.540 Priebus

01:47:19.120 and Hope

01:47:19.560 Hill

01:47:19.900 and you

01:47:21.440 know

01:47:21.620 his

01:47:22.140 sons

01:47:23.040 and Kellyanne

01:47:24.440 Conway

01:47:24.920 and we

01:47:26.660 had a

01:47:27.000 meeting

01:47:27.260 and he

01:47:27.600 asked me

01:47:28.140 to be

01:47:28.640 to run

01:47:29.660 a vaccine

01:47:30.100 safety

01:47:30.480 commission

01:47:31.020 and that

01:47:32.460 got

01:47:32.940 announced

01:47:33.460 he asked

01:47:34.520 me actually

01:47:35.000 to go

01:47:35.280 to a

01:47:35.640 press

01:47:35.880 conference

01:47:36.200 that day

01:47:36.700 and announce

01:47:37.220 it

01:47:37.460 and

01:47:39.060 it

01:47:40.360 got

01:47:40.560 announced

01:47:41.060 and

01:47:41.420 then

01:47:41.780 immediately

01:47:43.100 after that

01:47:43.940 announcement

01:47:44.460 it was

01:47:44.940 a huge

01:47:45.600 blowback

01:47:46.240 but one

01:47:47.000 of the things

01:47:47.340 that happened

01:47:47.780 is Pfizer

01:47:48.580 immediately

01:47:50.460 made a million

01:47:51.160 dollar donation

01:47:52.040 to the

01:47:52.500 inaugural

01:47:52.960 party

01:47:53.840 and then

01:47:55.840 President

01:47:56.440 Trump

01:47:57.000 put

01:47:58.320 Alex

01:47:58.840 Azar

01:47:59.380 who was

01:47:59.800 a hand

01:48:00.240 picked

01:48:00.580 Pfizer

01:48:01.300 lobbyist

01:48:02.540 in charge

01:48:03.780 of HHS

01:48:04.400 he put

01:48:04.780 Gottlieb

01:48:05.500 who was also

01:48:06.160 handpicked

01:48:06.620 by Pfizer

01:48:07.360 as head

01:48:07.860 of CDC

01:48:08.340 and we

01:48:10.240 had these

01:48:10.700 really good

01:48:11.280 meetings

01:48:11.740 during the

01:48:12.200 first part

01:48:12.620 of the

01:48:12.780 administration

01:48:13.280 but as

01:48:13.700 soon as

01:48:14.020 those guys

01:48:14.460 came in

01:48:14.920 they shut

01:48:15.320 us down

01:48:15.800 and they

01:48:16.500 said we're

01:48:17.080 not going

01:48:17.340 to talk

01:48:17.660 to you

01:48:17.820 anymore

01:48:18.180 may not

01:48:19.100 be a bad

01:48:19.440 time for

01:48:19.700 an open

01:48:19.960 letter

01:48:20.220 may not

01:48:22.100 be a bad

01:48:22.640 time for

01:48:23.060 an open

01:48:23.420 letter

01:48:23.720 from you

01:48:24.200 this may

01:48:24.720 not be a

01:48:25.100 bad time

01:48:25.440 for an

01:48:25.660 open letter

01:48:26.020 from you

01:48:27.080 the problem

01:48:28.700 with an open

01:48:29.160 letter

01:48:29.500 is that

01:48:30.080 you have to

01:48:31.040 go to the

01:48:31.380 CHD's

01:48:31.980 website

01:48:32.320 to read

01:48:32.780 it

01:48:32.920 because no

01:48:33.560 newspaper

01:48:34.420 will print

01:48:34.960 anything

01:48:35.460 that we

01:48:36.180 write

01:48:36.460 you know

01:48:37.220 what's crazy

01:48:37.840 is you

01:48:38.200 sound like

01:48:38.680 a libertarian

01:48:39.380 you don't

01:48:39.920 sound like

01:48:40.400 a democrat

01:48:40.860 I mean

01:48:41.400 you know

01:48:41.900 I definitely

01:48:43.980 I've always

01:48:45.120 been a free

01:48:45.620 market

01:48:46.060 you know

01:48:46.600 my whole

01:48:47.280 environmental

01:48:49.240 I'm really

01:48:51.420 for personal

01:48:52.040 freedoms

01:48:52.540 that's what

01:48:53.080 I'm for

01:48:53.580 I'm not

01:48:54.460 a libertarian

01:48:55.340 because I

01:48:57.120 don't believe

01:48:57.680 in the

01:48:58.180 commons

01:48:58.800 that you

01:48:59.900 do need

01:49:00.660 government

01:49:00.960 regulation

01:49:01.620 in the

01:49:01.900 commons

01:49:02.240 in other

01:49:02.800 words

01:49:03.000 nobody

01:49:04.440 ever

01:49:04.700 builds

01:49:04.960 sewage

01:49:05.380 treatment

01:49:05.720 plants

01:49:06.300 you know

01:49:07.660 because

01:49:08.740 they

01:49:08.940 wanted

01:49:09.240 to

01:49:09.560 there's

01:49:10.360 no

01:49:10.540 money

01:49:10.840 in

01:49:11.020 building

01:49:11.280 that

01:49:11.480 sewage

01:49:11.780 treatment

01:49:12.080 plant

01:49:12.340 there

01:49:12.520 never

01:49:12.740 will

01:49:12.980 be

01:49:13.240 and

01:49:13.520 so

01:49:13.740 you

01:49:14.020 if

01:49:14.380 you're

01:49:14.620 going to

01:49:14.900 pollute

01:49:15.560 the publicly

01:49:16.460 owned

01:49:16.940 resources

01:49:17.660 air

01:49:18.180 water

01:49:18.600 wildlife

01:49:19.340 public land

01:49:21.380 you need

01:49:22.200 regulation

01:49:23.240 in the

01:49:23.540 commons

01:49:23.900 there's

01:49:24.160 actually

01:49:24.580 an economic

01:49:25.140 law

01:49:25.580 called

01:49:25.920 the

01:49:26.060 tragedy

01:49:26.480 of

01:49:26.640 the

01:49:26.720 commons

01:49:27.140 that

01:49:27.460 you know

01:49:28.060 that

01:49:28.320 lays

01:49:28.900 that

01:49:29.140 out

01:49:29.480 it's

01:49:30.140 all of

01:49:30.740 our

01:49:30.900 economic

01:49:31.380 interest

01:49:31.880 to catch

01:49:32.280 the last

01:49:32.720 fish

01:49:32.960 in the

01:49:33.220 ocean

01:49:33.540 it's

01:49:34.700 not in

01:49:35.060 society's

01:49:35.700 interest

01:49:36.060 and the

01:49:36.500 role of

01:49:36.820 government

01:49:37.220 is to

01:49:37.740 make sure

01:49:38.160 that that

01:49:38.520 doesn't happen

01:49:39.100 to regulate

01:49:39.600 the fishery

01:49:41.060 but why don't you

01:49:41.840 talk about

01:49:42.300 private property

01:49:43.220 I am a

01:49:44.360 libertarian

01:49:44.900 I believe

01:49:45.600 in free market

01:49:46.600 capitalism

01:49:47.220 I believe

01:49:47.900 that the

01:49:48.340 market

01:49:48.800 is

01:49:49.520 the best

01:49:51.620 way

01:49:52.180 to end

01:49:53.740 environmental

01:49:54.260 pollution

01:49:54.840 and all

01:49:55.700 pollution

01:49:56.160 is about

01:49:56.720 subsidies

01:49:57.280 and that

01:49:58.540 you know

01:49:59.160 and about

01:50:00.640 large

01:50:01.360 powerful

01:50:01.940 entities

01:50:02.340 using

01:50:02.780 political

01:50:03.300 clout

01:50:03.800 to escape

01:50:05.340 the discipline

01:50:05.940 of the free

01:50:06.460 market

01:50:06.840 and force

01:50:07.360 the public

01:50:07.820 to pay

01:50:08.180 their

01:50:08.460 cost of

01:50:09.040 production

01:50:09.400 so

01:50:09.840 I

01:50:10.280 you know

01:50:10.900 when I

01:50:11.600 speak about

01:50:13.540 the environment

01:50:14.220 to a group

01:50:14.960 republicans

01:50:15.860 I almost

01:50:16.500 always

01:50:17.060 get standing

01:50:17.840 ovations

01:50:18.420 you know

01:50:18.960 because

01:50:19.540 I'm so aligned

01:50:21.300 with

01:50:21.720 you know

01:50:22.700 I think

01:50:23.420 mainstream

01:50:24.140 classic

01:50:25.080 historical

01:50:25.740 American

01:50:26.240 thinking

01:50:26.720 about

01:50:27.200 how markets

01:50:29.020 work

01:50:29.480 I think

01:50:29.940 I would

01:50:30.480 you know

01:50:31.100 I think

01:50:31.860 Milton Freeman

01:50:32.560 would be

01:50:33.080 very

01:50:33.620 happy

01:50:35.680 with the way

01:50:36.220 that I talk

01:50:36.800 about those

01:50:37.360 things

01:50:37.740 yeah

01:50:38.800 no

01:50:39.060 and I'm a product

01:50:40.500 of Milton Freeman

01:50:41.160 obviously you see him

01:50:41.920 back here in the

01:50:42.400 painting

01:50:42.700 you sound like

01:50:44.540 a lot of that

01:50:45.020 by the way

01:50:45.580 last couple

01:50:46.340 minutes here

01:50:46.740 before we wrap up

01:50:47.460 I'd like to

01:50:47.980 you said something

01:50:49.120 here about your

01:50:49.680 family rituals

01:50:50.460 one of the things

01:50:51.120 you said every night

01:50:51.920 we were encouraged

01:50:53.260 to argue

01:50:54.100 and debate

01:50:54.900 and constantly do that

01:50:55.800 what were some

01:50:56.860 of the Kennedy

01:50:57.380 family rituals

01:50:58.320 that you guys had

01:50:59.280 well we

01:51:02.420 I mean

01:51:02.760 you know

01:51:03.460 our family

01:51:04.380 was really

01:51:04.960 Catholic family

01:51:05.740 we went to church

01:51:06.620 when I was a kid

01:51:07.540 I went to church

01:51:08.680 at least

01:51:09.340 I mean

01:51:10.000 I went to church

01:51:10.900 oftentimes

01:51:12.160 once or twice a day

01:51:13.760 we said

01:51:14.880 prayers before

01:51:16.000 and after every meal

01:51:17.020 we said

01:51:17.660 a rosary

01:51:18.460 sometimes three rosaries

01:51:19.740 a day

01:51:20.160 we read the Bible

01:51:21.020 every night

01:51:21.760 and you know

01:51:24.580 then we played

01:51:25.680 a lot of sports

01:51:26.620 a lot of outdoor

01:51:28.900 activities

01:51:30.020 and you know

01:51:33.300 and my father

01:51:34.060 loved the wilderness

01:51:34.820 and he took us

01:51:35.840 mountain climbing

01:51:36.660 he taught us all

01:51:37.680 how to whitewater

01:51:38.540 kayak

01:51:39.140 you know

01:51:40.260 we were all

01:51:41.020 scuba diving

01:51:43.500 and doing

01:51:44.320 whitewater

01:51:45.420 from

01:51:45.820 you know

01:51:46.260 at a time

01:51:47.020 when not many people

01:51:47.880 were doing those things

01:51:49.100 and my

01:51:49.600 you know

01:51:50.100 my father was

01:51:51.080 and all of my family

01:51:52.500 I think were really

01:51:53.320 interested in

01:51:54.280 the wilderness

01:51:55.080 and the outdoors

01:51:55.980 and

01:51:57.740 you know

01:51:59.080 I mean

01:51:59.500 I had a wonderful

01:52:00.400 wonderful magical life

01:52:01.980 and

01:52:02.440 you know

01:52:02.960 I'm really

01:52:03.520 grateful to God

01:52:04.760 that I

01:52:05.200 you know

01:52:05.600 I got to do

01:52:06.220 all these things

01:52:07.060 did you spend a lot of time

01:52:08.620 with your grandfather

01:52:09.360 yeah I did

01:52:11.160 what do you remember

01:52:12.660 about him

01:52:13.080 because he's

01:52:13.740 he's one of the most

01:52:14.420 interesting characters

01:52:15.460 when I was getting

01:52:16.520 my series 7

01:52:17.400 with Morgan Stanley

01:52:18.340 Dean Witter

01:52:18.860 and I took a

01:52:20.120 Dearborn class

01:52:21.260 to take my series 7

01:52:22.540 they started teaching

01:52:23.260 about SEC

01:52:23.960 and then your

01:52:24.600 his name came up

01:52:26.020 Joseph

01:52:26.300 I mean

01:52:26.620 so I'm curious

01:52:27.780 about his character

01:52:28.560 how was he

01:52:29.180 what do you remember

01:52:29.700 about him

01:52:30.040 you know

01:52:30.640 he was

01:52:31.220 I think the best thing

01:52:33.400 you can say

01:52:34.080 first of all

01:52:34.620 a lot of people

01:52:35.320 there's a lot of

01:52:36.260 garbage

01:52:36.920 about my grandfather

01:52:38.340 out there

01:52:38.960 people say

01:52:39.580 he was a bootlegger

01:52:40.740 which is laughable

01:52:42.220 you know

01:52:42.680 there's never

01:52:43.560 nobody even made

01:52:45.900 that claim

01:52:46.660 during

01:52:47.640 until after

01:52:48.740 1964

01:52:50.060 but my grandfather

01:52:51.260 as you know

01:52:52.600 he had been through

01:52:54.260 three separate

01:52:55.080 Senate confirmations

01:52:56.240 he was the first

01:52:57.340 head of the SEC

01:52:58.220 he was the

01:52:59.860 and you know

01:53:01.120 really

01:53:01.420 with Roosevelt

01:53:02.560 saved Wall Street

01:53:03.780 he was

01:53:05.360 the ambassador

01:53:06.120 to Great Britain

01:53:07.620 during World War II

01:53:08.740 he was

01:53:09.640 the head of

01:53:10.800 the Maritime Commission

01:53:12.680 and these were

01:53:14.900 when he was a young man

01:53:16.220 he was the youngest

01:53:17.280 bank president

01:53:18.100 in our country

01:53:18.840 after he graduated

01:53:19.700 from Harvard

01:53:20.280 he was

01:53:21.720 he worked as

01:53:22.540 a bank examiner

01:53:24.700 for a couple of years

01:53:25.660 and then he

01:53:26.420 he took over

01:53:28.320 a bank

01:53:29.700 that was

01:53:30.320 the target

01:53:30.920 of a hostile takeover

01:53:32.100 by a big national

01:53:33.340 conglomerate

01:53:34.040 that it was a local

01:53:34.740 bank in Boston

01:53:35.680 that his father

01:53:37.660 had been involved in

01:53:38.600 and he went

01:53:39.120 and he took it over

01:53:40.260 and he made it

01:53:40.800 a success story

01:53:41.540 and then he went out

01:53:42.180 to Hollywood

01:53:42.680 and he made

01:53:43.380 hundreds of films

01:53:44.780 out here

01:53:45.280 he started one

01:53:45.840 of the biggest studios

01:53:46.820 he helped start

01:53:48.240 RKO

01:53:48.820 after my uncle died

01:53:51.000 there was

01:53:52.400 you know

01:53:52.680 the CIA

01:53:53.100 I've written a book

01:53:54.080 about the CIA's

01:53:55.320 relationship

01:53:56.060 with my family

01:53:56.860 about its 70 year

01:53:58.180 battle with my family

01:53:59.240 and there was

01:54:00.880 a guy

01:54:01.340 in the CIA

01:54:02.280 called Sam

01:54:03.000 Albert

01:54:03.420 whose job

01:54:04.300 was to tar

01:54:05.440 the Kennedy names

01:54:06.440 a lot of the bad

01:54:08.100 things that you hear

01:54:09.000 about my family

01:54:09.840 including this

01:54:10.820 this rumor

01:54:12.920 that my uncle

01:54:14.240 was

01:54:14.500 my grandfather

01:54:15.320 was a bootlegger

01:54:16.120 came from Sam

01:54:16.860 Albert

01:54:17.080 it's absurd

01:54:18.200 to think he was

01:54:18.840 my grandfather

01:54:20.260 had so many enemies

01:54:21.620 including

01:54:22.480 you know

01:54:22.780 he was despised

01:54:24.040 because

01:54:24.720 he was the only

01:54:25.740 guy from Wall Street

01:54:26.600 who had supported

01:54:27.240 Roosevelt

01:54:27.740 and if he'd had

01:54:29.520 anything like that

01:54:30.700 in his past

01:54:31.480 if his past

01:54:32.180 had not been

01:54:32.860 squeaky clean

01:54:33.820 he would have been

01:54:35.280 completely obliterated

01:54:36.900 in those Senate

01:54:37.480 confirmation hearings

01:54:38.500 which were at least

01:54:39.540 as vicious

01:54:40.040 as they are today

01:54:41.100 and he would never

01:54:43.160 have gotten the

01:54:43.680 appointment to

01:54:44.300 Great Britain

01:54:44.880 if he'd been a

01:54:45.580 bootlegger

01:54:46.260 the head of the SEC

01:54:47.340 he couldn't have

01:54:48.100 done that

01:54:48.440 and Roosevelt

01:54:48.980 asked him

01:54:49.860 is there anything

01:54:50.860 in your past

01:54:51.700 that you know

01:54:52.780 would come back

01:54:53.620 on us

01:54:54.320 because I'm terrified

01:54:55.120 about these hearings

01:54:56.100 and my grandfather

01:54:58.440 said I have never

01:54:59.300 done anything

01:55:00.100 that would

01:55:00.960 that would

01:55:02.160 that would

01:55:03.420 tar the name

01:55:04.480 or injure my reputation

01:55:05.880 because of my children

01:55:07.040 and but

01:55:08.660 his

01:55:09.540 you know

01:55:09.880 the best part

01:55:10.500 I used to go

01:55:11.400 horseback riding

01:55:12.440 with him every morning

01:55:13.420 he would take us

01:55:14.140 he was

01:55:14.480 he was extremely

01:55:15.500 punctual

01:55:16.140 if you were

01:55:17.800 one minute late

01:55:18.720 he would be gone

01:55:20.280 he would never

01:55:21.800 wait for anybody

01:55:22.520 and he would never

01:55:23.080 keep anybody waiting

01:55:24.040 and he would

01:55:26.120 when we went

01:55:27.220 to dinner

01:55:27.560 at his house

01:55:28.060 the families

01:55:28.960 all took turns

01:55:29.920 going to dinner

01:55:30.540 at his house

01:55:31.060 we all lived

01:55:31.760 in one compound

01:55:32.620 and he would

01:55:34.840 question us

01:55:35.640 he and my grandmother

01:55:36.380 would question us

01:55:37.320 on

01:55:37.660 they would

01:55:40.500 make us look

01:55:41.680 they had maps

01:55:42.460 of the whole world

01:55:43.180 on their wall

01:55:44.020 and they'd say

01:55:44.620 find Karachi

01:55:45.500 tell us

01:55:46.260 for Xantabar

01:55:46.940 they'd tell us

01:55:48.680 they'd ask us

01:55:50.100 about the roots

01:55:51.360 of words

01:55:52.080 they were Latin

01:55:53.320 or Greek

01:55:53.920 they would

01:55:55.120 ask us

01:55:56.580 to speak

01:55:57.460 Spanish

01:55:58.240 or French

01:55:58.740 my grandmother

01:56:00.380 would cut out

01:56:01.260 would write down

01:56:02.680 quotes

01:56:03.100 or take clippings

01:56:04.260 out of the newspaper

01:56:05.020 and she would

01:56:06.080 pin them to her 0.89

01:56:07.180 sweater

01:56:07.520 and then she would

01:56:08.360 take these long

01:56:09.060 walks with us

01:56:09.840 and pull the

01:56:10.500 pins off the sweater

01:56:11.540 and ask us

01:56:12.200 questions about it

01:56:13.200 and we were

01:56:14.720 constantly being

01:56:15.600 quizzed by them

01:56:17.000 and they were

01:56:17.400 constantly asking

01:56:18.380 us to argue

01:56:19.220 to make arguments

01:56:20.220 to take

01:56:21.760 positions

01:56:22.260 on issues

01:56:22.940 and it was

01:56:23.560 really

01:56:23.800 it was a magical

01:56:24.660 way to grow up

01:56:25.520 I love that

01:56:26.280 I love

01:56:26.660 is it true

01:56:27.500 the fact that

01:56:28.040 your grandfather

01:56:28.580 sat down

01:56:29.140 his son

01:56:29.500 and said

01:56:29.820 which one of you

01:56:30.440 guys are going

01:56:30.720 to be a president

01:56:31.220 first

01:56:31.620 was

01:56:32.000 no

01:56:32.360 of course not

01:56:34.220 and was it

01:56:35.520 encouraged

01:56:36.440 that's not the way

01:56:37.660 that he talked

01:56:38.280 to them

01:56:38.500 what he

01:56:39.100 what he tried

01:56:40.100 to do

01:56:40.560 is really

01:56:41.120 instill in them

01:56:42.400 a love

01:56:44.940 for public affairs

01:56:45.920 and a knowledge

01:56:46.680 about it

01:56:47.080 and he

01:56:47.420 he sent

01:56:48.080 he hated

01:56:50.180 Harold Lasky

01:56:51.880 who was

01:56:52.780 a very famous

01:56:54.220 communist

01:56:54.800 professor

01:56:56.040 at the London

01:56:57.000 School of Economics

01:56:57.920 and he

01:56:58.300 my uncle

01:56:59.100 I mean my grandfather

01:57:00.420 despised communism

01:57:01.620 but he sent

01:57:03.300 all of his kids

01:57:04.280 to study under Lasky

01:57:05.720 because he wanted

01:57:07.680 them to be able

01:57:08.760 to make up

01:57:09.200 their own minds

01:57:09.940 about life

01:57:10.620 and then he

01:57:11.420 you know

01:57:11.960 and he made sure

01:57:12.980 that they visited

01:57:13.820 that they became

01:57:15.820 they all became

01:57:16.480 journalists first

01:57:17.420 and so that they

01:57:18.520 could tour the world

01:57:19.400 that they could

01:57:19.920 speak to people

01:57:20.660 wherever he was

01:57:22.180 whether he was

01:57:23.620 in a cab

01:57:24.180 or whatever

01:57:24.640 he would always

01:57:25.620 be talking to people

01:57:26.640 and asking them

01:57:27.360 about their lives

01:57:28.240 and all of my

01:57:29.180 you know

01:57:30.180 that generation 0.76

01:57:31.060 was constantly

01:57:32.240 interrogating people

01:57:33.440 whether they were

01:57:34.120 fishmongers

01:57:35.060 or commercial fishmen

01:57:36.300 or cab drivers

01:57:38.700 you know

01:57:39.280 they

01:57:39.500 as soon as

01:57:40.460 they sat down

01:57:41.140 with somebody

01:57:41.640 they would be

01:57:42.140 asking questions

01:57:43.040 about him

01:57:43.460 so

01:57:43.760 my grandfather

01:57:45.680 you know

01:57:47.020 certainly

01:57:47.420 he grew up

01:57:48.360 in a political

01:57:48.920 family

01:57:49.440 his

01:57:50.880 his father

01:57:52.200 was

01:57:53.940 a state

01:57:55.360 senator

01:57:55.820 and he was

01:57:57.560 a political

01:57:58.160 leader

01:57:58.620 very respected

01:57:59.560 political leader

01:58:00.260 in Boston

01:58:00.700 very honest

01:58:01.620 honest man

01:58:02.460 P.J. Kennedy

01:58:03.240 whose grandparents

01:58:05.280 had come over

01:58:06.100 from Ireland

01:58:06.720 and the famine

01:58:07.360 and you know

01:58:09.300 the Irish

01:58:10.640 were just

01:58:11.120 breaking into

01:58:11.720 politics

01:58:12.260 in Boston

01:58:12.760 at that time

01:58:13.400 his father-in-law

01:58:14.380 my grandmother's

01:58:15.400 father

01:58:15.840 Honeyfist

01:58:16.540 was really

01:58:18.180 the first

01:58:18.840 Irish Catholic

01:58:19.620 mayor of Boston

01:58:20.620 his name was

01:58:21.560 Honeyfist

01:58:22.260 and he had

01:58:22.880 beautiful

01:58:23.400 he was called

01:58:24.240 Honeyfist

01:58:24.860 Fitzgerald

01:58:25.720 Honeyfist

01:58:26.940 because he had

01:58:27.460 a beautiful

01:58:27.940 Irish tenor

01:58:28.900 and he would

01:58:29.620 sing

01:58:30.100 at the crowds

01:58:30.980 he would

01:58:31.620 do these

01:58:33.280 torchlight parades

01:58:34.500 where they would

01:58:35.400 go out on a

01:58:36.040 flatbed truck

01:58:36.920 that was

01:58:37.360 hauled by mules

01:58:38.360 or by a truck

01:58:39.280 and there

01:58:40.520 would be

01:58:40.940 a piano

01:58:41.620 on it

01:58:42.140 and my

01:58:42.520 grandmother

01:58:43.020 you know

01:58:43.960 who was

01:58:44.660 a beautiful

01:58:45.240 pianist

01:58:45.880 when she was

01:58:46.580 a teen

01:58:47.000 would play

01:58:47.420 the piano

01:58:47.900 and he

01:58:48.320 would

01:58:48.500 sing

01:58:49.340 Sweet Adeline

01:58:50.060 to the crowds

01:58:50.980 and he

01:58:51.260 would gather

01:58:51.720 a big crowd

01:58:52.280 and they

01:58:52.680 would give

01:58:54.200 these speeches

01:58:54.880 but they

01:58:55.340 were

01:58:55.580 you know

01:58:56.000 so they

01:58:56.320 grew up

01:58:56.820 in a

01:58:57.100 political

01:58:57.500 milieu

01:58:57.940 and it

01:58:58.460 was at

01:58:58.740 a time

01:58:59.320 when

01:58:59.680 the Irish

01:59:01.360 when they

01:59:01.760 arrived

01:59:02.220 here

01:59:02.580 had been

01:59:03.100 forbidden

01:59:03.720 for 800

01:59:04.540 years

01:59:05.060 from

01:59:05.420 participating

01:59:06.100 in politics

01:59:06.960 and so

01:59:08.000 when they

01:59:08.340 arrived

01:59:08.880 on these

01:59:09.500 shores 0.53

01:59:09.840 they took

01:59:10.540 to politics

01:59:11.420 the way

01:59:11.900 that a

01:59:12.240 starving

01:59:12.740 man

01:59:13.620 takes

01:59:14.000 to food

01:59:14.520 and you

01:59:15.460 know

01:59:15.720 and that's

01:59:16.400 where they

01:59:17.680 they were

01:59:18.080 denied wealth

01:59:18.920 they were

01:59:19.220 denied entrance

01:59:20.200 into the big

01:59:20.720 clubs

01:59:21.180 and the one

01:59:21.800 thing that

01:59:22.280 they could

01:59:22.660 compete in

01:59:23.320 was their

01:59:24.080 religion

01:59:24.520 and their

01:59:24.980 politics

01:59:25.540 and that's

01:59:26.020 what they

01:59:26.320 did

01:59:26.580 you know

01:59:27.760 you seem

01:59:28.720 like the

01:59:29.020 type of

01:59:29.320 person that

01:59:29.760 does a lot

01:59:30.180 of due

01:59:30.400 diligence

01:59:30.740 and research

01:59:31.420 I was

01:59:31.920 I've always

01:59:32.440 been fascinated

01:59:33.100 with the

01:59:34.420 story of JFK

01:59:35.220 assassination

01:59:36.100 I've interviewed

01:59:36.960 Jim Jenkins

01:59:37.720 who was

01:59:38.300 one of the

01:59:38.780 autopsy folks

01:59:39.780 who was in

01:59:40.760 the room

01:59:41.100 I've sat

01:59:41.520 with Clint

01:59:42.040 Hill

01:59:42.320 which Clint

01:59:42.900 Hill

01:59:43.220 you obviously

01:59:44.360 know who

01:59:44.680 Clint Hill

01:59:45.120 is

01:59:45.400 and his

01:59:46.380 interview

01:59:46.880 with us

01:59:47.360 has around

01:59:47.740 4 million

01:59:48.260 views

01:59:48.700 sat down

01:59:49.960 with Abraham

01:59:50.500 Bolden

01:59:51.020 sat down

01:59:51.460 with several

01:59:52.140 different people

01:59:52.720 to talk about

01:59:53.420 that

01:59:53.700 over the

01:59:54.920 years

01:59:55.280 whether it's

01:59:56.140 you know

01:59:56.440 1968

01:59:57.240 with your

01:59:58.020 father

01:59:58.420 or your

01:59:58.880 uncle

01:59:59.260 I can only

02:00:01.180 imagine

02:00:01.740 you reading

02:00:02.540 pretty much

02:00:03.060 anything and

02:00:03.760 everything that

02:00:04.360 comes up

02:00:04.960 about that

02:00:05.480 topic

02:00:05.760 you know

02:00:06.080 it's one of

02:00:06.420 the most

02:00:06.580 talked about

02:00:07.060 topics around

02:00:07.640 the world

02:00:08.040 what conclusion

02:00:10.300 do you have

02:00:11.240 so far today

02:00:12.440 with what

02:00:13.460 happened both

02:00:14.100 with your

02:00:14.440 father and

02:00:15.000 your uncle

02:00:15.500 I have

02:00:17.600 spent a lot

02:00:18.620 of time

02:00:18.960 researching

02:00:19.460 and I

02:00:19.780 actually

02:00:20.320 got deep

02:00:21.540 into the

02:00:21.840 research

02:00:22.180 and actually

02:00:22.600 started

02:00:23.000 interviewing

02:00:23.600 people

02:00:24.280 for when

02:00:26.740 I wrote

02:00:27.080 my latest

02:00:28.100 book

02:00:28.420 American Values

02:00:29.380 I did

02:00:30.460 two chapters

02:00:31.120 on the

02:00:31.460 assassinations

02:00:32.520 and the last

02:00:33.160 minute I

02:00:33.540 left them out

02:00:34.140 but if

02:00:34.400 you read

02:00:34.760 the book

02:00:35.080 you can

02:00:35.380 see where

02:00:35.880 it's

02:00:36.080 going

02:00:36.460 and I

02:00:37.880 interviewed

02:00:38.220 people

02:00:38.880 who were

02:00:39.640 you know

02:00:40.360 who were

02:00:42.500 part of

02:00:43.080 a Cuban

02:00:43.960 CIA group

02:00:45.580 which is

02:00:46.500 clearly the

02:00:47.100 group

02:00:47.380 that was

02:00:48.060 that you

02:00:49.260 know

02:00:49.440 was involved

02:00:50.720 in my

02:00:51.240 uncle's

02:00:51.620 assassination

02:00:52.140 I interviewed

02:00:54.340 CIA officials

02:00:56.400 I interviewed

02:00:57.360 twice

02:00:58.320 I spent

02:01:00.340 time with

02:01:01.260 Fido Castro

02:01:02.040 talking about

02:01:02.980 him

02:01:03.260 and talking

02:01:04.640 because the

02:01:05.080 Cubans were 0.97

02:01:05.560 so deeply

02:01:06.180 involved

02:01:06.800 in

02:01:07.260 you know

02:01:09.180 the CIA

02:01:09.740 Cubans

02:01:10.400 the same

02:01:10.880 ones who

02:01:11.160 were trying

02:01:11.440 to kill

02:01:11.720 Castro

02:01:12.200 were the

02:01:13.660 ones

02:01:14.040 that division

02:01:15.080 that was

02:01:15.580 led by

02:01:16.020 David Atlee

02:01:16.660 Phillips

02:01:17.100 and Phillips

02:01:18.700 was a

02:01:20.120 CIA propagandist

02:01:23.440 he had been

02:01:24.020 involved in

02:01:24.860 the 1953

02:01:25.760 coup in

02:01:26.880 Guatemala

02:01:27.300 against Jacob

02:01:28.240 R.

02:01:28.500 Benz

02:01:28.840 he was

02:01:29.140 at the

02:01:29.420 Bay of

02:01:29.700 Pigs

02:01:30.040 he was

02:01:31.420 doing

02:01:31.620 propaganda

02:01:32.060 there

02:01:32.520 and then

02:01:32.860 he ran

02:01:33.520 the Cuban

02:01:34.620 sabotage

02:01:35.300 program

02:01:35.900 Alpha 66

02:01:36.840 these

02:01:37.620 you know

02:01:37.980 raiding

02:01:38.340 groups

02:01:38.740 and it

02:01:40.060 was people

02:01:40.460 from that

02:01:40.960 those teams

02:01:42.300 that you

02:01:43.020 know

02:01:43.140 were the

02:01:43.600 team

02:01:44.160 that was

02:01:45.200 involved

02:01:45.560 in the

02:01:45.800 assassination

02:01:46.320 Lee Harvey

02:01:47.220 Oswald

02:01:47.800 he was

02:01:48.660 also

02:01:49.340 Lee Harvey

02:01:50.940 Oswald's

02:01:51.600 case

02:01:51.900 officer

02:01:52.560 David

02:01:53.600 Atlee

02:01:53.940 Phillips

02:01:54.300 originally

02:01:54.860 Lee Harvey

02:01:55.440 Oswald

02:01:56.100 had worked

02:01:56.660 directly

02:01:57.180 for

02:01:57.700 James

02:01:58.180 Jesus

02:01:58.580 Angleton

02:01:59.140 who was

02:01:59.600 the

02:01:59.740 counter

02:01:59.980 intelligent

02:02:00.460 so

02:02:00.880 Lee Harvey

02:02:02.380 Oswald

02:02:02.920 had been

02:02:03.400 a

02:02:03.820 radar

02:02:05.380 operator

02:02:06.120 at

02:02:06.700 the

02:02:06.920 Atsui

02:02:07.420 Air Force

02:02:08.460 base

02:02:08.980 in

02:02:09.420 Japan

02:02:11.000 and that's

02:02:12.000 where the

02:02:12.460 U-2 flights

02:02:13.440 had taken

02:02:13.820 off

02:02:14.080 so he had

02:02:14.540 very high

02:02:15.380 security

02:02:16.060 post

02:02:17.380 top secret

02:02:18.080 he

02:02:20.080 defected

02:02:21.880 to the

02:02:22.120 Soviet

02:02:22.380 unit

02:02:22.740 in 1957

02:02:23.620 and

02:02:25.060 and then

02:02:26.260 but his

02:02:26.940 defection

02:02:27.460 was what

02:02:28.420 they called

02:02:29.020 a dangle

02:02:30.120 it wasn't

02:02:30.900 a real

02:02:31.220 defection

02:02:31.760 he was

02:02:32.320 actually

02:02:32.740 a CIA

02:02:33.380 asset

02:02:33.940 from that

02:02:34.560 time

02:02:34.960 and he

02:02:36.420 was working

02:02:36.900 for Angleton

02:02:37.560 and the

02:02:38.040 reason for

02:02:39.040 his defection

02:02:39.740 was that

02:02:40.420 Angleton

02:02:41.080 that there

02:02:41.620 was a mole

02:02:42.300 in Langley

02:02:43.120 that they

02:02:43.580 never found

02:02:44.420 and it's

02:02:44.780 the reason

02:02:45.280 they never

02:02:45.780 had a good

02:02:46.260 spy in

02:02:46.840 Russia

02:02:47.160 because as

02:02:48.400 soon as

02:02:48.800 they got

02:02:49.280 somebody who

02:02:49.860 defected

02:02:50.460 he'd

02:02:50.680 immediately

02:02:51.040 get killed 0.81

02:02:51.660 because there

02:02:52.080 was somebody

02:02:52.500 in Langley

02:02:53.160 telling

02:02:53.760 Angleton

02:02:54.580 who ran

02:02:55.260 that division

02:02:56.020 counterintelligence

02:02:56.860 which was

02:02:57.240 supposed to

02:02:58.300 trap

02:02:58.740 Russian spies

02:02:59.660 recruited

02:03:01.560 Oswald

02:03:02.400 to make

02:03:04.540 a fake

02:03:04.960 defection

02:03:05.440 to Russia

02:03:05.940 because he

02:03:06.680 believed

02:03:07.140 he had

02:03:08.140 his file

02:03:08.860 on a trigger

02:03:09.840 at Langley

02:03:10.780 and they

02:03:12.300 assumed

02:03:12.740 that the KGB

02:03:13.600 would be

02:03:14.080 wondering

02:03:14.400 who is

02:03:15.000 this guy

02:03:15.520 is he

02:03:16.040 real

02:03:16.400 and that

02:03:16.960 they would

02:03:17.340 contact

02:03:17.840 the mole

02:03:18.200 at Langley

02:03:18.800 and say

02:03:19.220 go pull

02:03:19.820 his file

02:03:20.460 and tell

02:03:20.880 us what

02:03:21.180 it says

02:03:21.660 so he

02:03:22.340 had a

02:03:22.940 trigger

02:03:23.240 system

02:03:23.660 and eyes

02:03:24.340 on that

02:03:24.760 file

02:03:25.140 so that

02:03:25.540 he would

02:03:25.860 know

02:03:26.260 if somebody

02:03:27.620 pulled it

02:03:28.000 and he'd

02:03:28.220 know that

02:03:28.540 that was

02:03:28.900 the mole

02:03:29.360 it never

02:03:30.860 happened

02:03:31.280 and so

02:03:32.440 Oswald

02:03:33.660 was recalled

02:03:34.400 from Moscow

02:03:36.140 three years

02:03:36.720 later

02:03:36.920 by then

02:03:37.420 he'd already

02:03:38.040 married

02:03:38.640 the daughter

02:03:39.700 of a KGB 0.51

02:03:40.560 colonel

02:03:41.200 and you know

02:03:41.820 he came back

02:03:42.340 here with

02:03:42.680 Marina

02:03:43.040 he was

02:03:43.640 met at the

02:03:44.360 airport

02:03:44.700 never interrogated

02:03:46.140 by the

02:03:46.420 he was

02:03:46.800 given money

02:03:47.480 to return

02:03:47.980 by the

02:03:48.400 state department

02:03:48.940 six hundred

02:03:49.540 dollars

02:03:50.000 he flew to

02:03:51.800 Dallas

02:03:52.120 he was met

02:03:53.020 by CIA

02:03:53.880 agents

02:03:54.860 or assets

02:03:55.680 in Dallas

02:03:56.180 who then

02:03:56.780 took care of

02:03:57.500 him

02:03:57.740 who ended up

02:03:58.620 getting him

02:03:59.040 the job

02:03:59.400 at the

02:03:59.640 book depository

02:04:00.640 who took care

02:04:02.520 of him

02:04:02.740 through all

02:04:03.120 of his

02:04:03.400 sojourns

02:04:04.720 but the whole

02:04:05.720 time he was

02:04:06.460 reporting to

02:04:07.080 two men

02:04:07.580 David Johanides

02:04:08.580 who was

02:04:10.740 who ended up

02:04:11.500 being the

02:04:11.800 liaison

02:04:12.260 with the

02:04:12.880 Warren

02:04:13.120 Commission

02:04:13.540 and his

02:04:15.120 job was

02:04:15.560 just to

02:04:15.880 hide

02:04:16.160 stuff

02:04:16.560 and of

02:04:17.240 course

02:04:17.560 Alan

02:04:18.400 Dulles

02:04:18.880 who was

02:04:19.320 the head

02:04:19.600 of the CIA

02:04:20.160 that my

02:04:20.660 uncle had

02:04:21.220 fired

02:04:21.700 and who

02:04:22.580 was the

02:04:22.880 chief

02:04:23.060 suspect

02:04:23.560 of the

02:04:23.920 assassination

02:04:24.600 ran the

02:04:25.960 Warren

02:04:26.180 Commission

02:04:26.600 got himself

02:04:27.280 appointed

02:04:27.700 to it

02:04:28.160 and ran

02:04:28.660 to hide

02:04:29.400 the CIA's

02:04:30.180 involvement

02:04:30.620 but Oswald

02:04:33.000 was

02:04:33.780 you know

02:04:34.660 was a

02:04:35.080 pro-Kennedy

02:04:35.820 guy

02:04:36.300 loved my

02:04:36.980 uncle

02:04:37.440 and you

02:04:38.180 know

02:04:38.360 was really

02:04:39.460 kind of

02:04:40.040 misused

02:04:41.680 by David

02:04:42.640 Athley Phillips

02:04:43.360 and the CIA

02:04:43.940 and I

02:04:45.380 spoke to

02:04:46.360 Cubans

02:04:47.400 who met

02:04:47.880 Oswald

02:04:48.660 and met

02:04:51.100 him with

02:04:51.600 David Athley

02:04:52.200 Phillips

02:04:52.520 and you

02:04:53.560 know

02:04:53.720 I think

02:04:54.600 it's

02:04:54.840 you know

02:04:55.640 at the

02:04:56.040 time

02:04:56.280 the

02:04:56.440 Warren

02:04:56.740 Commission

02:04:57.240 they were

02:04:58.880 able to

02:04:59.300 hide

02:04:59.540 the CIA

02:05:00.040 involvement

02:05:00.620 but by

02:05:01.180 75

02:05:02.640 when they

02:05:03.840 you know

02:05:04.240 Hart's

02:05:04.640 committee

02:05:04.900 met

02:05:05.260 they

02:05:05.680 made the

02:05:06.220 conclusion

02:05:06.740 that yeah

02:05:07.320 it was a

02:05:08.100 conspiracy

02:05:08.700 and the

02:05:10.200 actually

02:05:10.860 the

02:05:11.400 staff

02:05:13.220 for

02:05:14.540 that

02:05:15.160 committee

02:05:15.620 all

02:05:16.220 concluded

02:05:17.260 that it

02:05:17.600 was the

02:05:17.900 CIA

02:05:18.260 that had

02:05:18.960 done

02:05:19.260 and I

02:05:19.640 think

02:05:19.860 now

02:05:20.440 we have

02:05:21.100 so much

02:05:21.760 evidence

02:05:22.200 and so

02:05:22.560 much

02:05:22.820 documentation

02:05:23.760 that it

02:05:24.360 really

02:05:25.120 would be

02:05:26.140 almost

02:05:26.800 crazy

02:05:27.320 to think

02:05:28.100 that they

02:05:28.500 were not

02:05:29.080 you know

02:05:30.040 behind it

02:05:30.900 in terms

02:05:31.680 of my

02:05:31.920 dad

02:05:32.220 I never

02:05:32.660 believed

02:05:33.060 that there

02:05:33.420 was

02:05:33.600 conspiracy

02:05:34.300 I always

02:05:34.960 believed

02:05:35.420 that Sir

02:05:37.160 Anne

02:05:37.400 had acted

02:05:37.840 alone

02:05:38.260 there was

02:05:39.420 so much

02:05:39.820 evidence

02:05:40.300 against him

02:05:41.040 his diaries

02:05:41.920 and

02:05:42.460 everything

02:05:43.500 else

02:05:44.060 and

02:05:45.460 there were

02:05:46.240 77

02:05:46.700 eyewitnesses

02:05:48.100 to him

02:05:49.280 shooting

02:05:49.760 my dad

02:05:50.180 but then

02:05:50.740 you know

02:05:51.060 when I

02:05:51.340 started

02:05:51.560 talking

02:05:51.980 to

02:05:52.120 people

02:05:52.440 I

02:05:52.700 realized

02:05:53.140 there

02:05:53.500 was

02:05:53.680 a lot

02:05:54.180 of

02:05:54.940 there

02:05:56.540 were

02:05:56.620 a lot

02:05:56.820 of

02:05:56.920 problems

02:05:57.320 with

02:05:57.480 the

02:05:57.600 story

02:05:57.880 Oswald

02:05:58.500 could not

02:06:00.160 have shot

02:06:00.500 my father

02:06:01.100 Oswald

02:06:01.780 we know

02:06:02.400 what happened

02:06:02.760 to all

02:06:02.980 of his

02:06:03.220 bullets

02:06:03.620 Oswald

02:06:04.380 was

02:06:05.860 at the

02:06:07.360 closest

02:06:07.760 of five

02:06:08.540 feet

02:06:08.760 from my

02:06:09.120 father

02:06:09.520 his hand

02:06:10.420 his body

02:06:11.600 was

02:06:12.080 eight feet

02:06:13.200 that's the

02:06:14.600 closest

02:06:14.980 and he

02:06:15.620 fired

02:06:16.160 two shots

02:06:16.980 Sirhan

02:06:17.640 Sirhan

02:06:18.300 sorry

02:06:18.580 Sirhan met

02:06:19.900 my father

02:06:20.480 in the

02:06:20.780 ambassador

02:06:21.160 hotel

02:06:21.520 kitchen

02:06:21.940 and he

02:06:22.200 was

02:06:22.360 standing

02:06:22.660 on the

02:06:22.880 other

02:06:23.100 side

02:06:23.560 of a

02:06:24.520 steam

02:06:25.100 table

02:06:25.460 my father

02:06:27.200 walked

02:06:27.500 toward him

02:06:27.980 he fired

02:06:29.340 two shots

02:06:30.160 at my

02:06:30.700 father

02:06:31.020 one of

02:06:31.460 those shots

02:06:32.120 hit

02:06:32.460 Paul Schrade

02:06:33.200 who was

02:06:33.640 a labor

02:06:33.960 organizer

02:06:34.540 for my

02:06:34.960 father

02:06:35.280 in the

02:06:35.580 head

02:06:35.860 all is

02:06:37.220 alive

02:06:37.540 today

02:06:37.880 and very

02:06:38.280 close

02:06:38.620 friends

02:06:39.020 and has

02:06:39.300 been

02:06:39.480 trying

02:06:40.020 for 20

02:06:40.980 years

02:06:41.260 to get

02:06:41.600 Sirhan

02:06:42.160 out of

02:06:42.420 jail

02:06:42.700 because

02:06:42.920 he knows

02:06:43.300 he's

02:06:43.520 innocent

02:06:43.800 and he

02:06:45.040 is the

02:06:45.360 one

02:06:45.580 who

02:06:45.760 forced

02:06:46.420 me

02:06:46.700 to sit

02:06:47.120 down

02:06:47.420 and look

02:06:47.720 at the

02:06:47.940 evidence

02:06:48.320 of the

02:06:48.740 autopsy

02:06:49.320 report

02:06:49.700 etc

02:06:50.000 the other

02:06:52.200 bullet

02:06:52.460 that he

02:06:52.760 fired

02:06:53.100 toward

02:06:53.380 my

02:06:53.800 father

02:06:54.180 went

02:06:54.460 past

02:06:55.460 my

02:06:55.680 father's

02:06:56.140 ear

02:06:56.460 and landed

02:06:57.140 in the

02:06:57.460 doorjamb

02:06:58.020 and was

02:06:58.380 extracted

02:06:58.980 from the

02:06:59.520 doorjamb

02:07:00.020 so we

02:07:00.420 know what

02:07:00.700 happened

02:07:00.900 to those

02:07:01.140 two bullets

02:07:01.540 as soon

02:07:01.980 as he

02:07:02.240 fired

02:07:02.560 those

02:07:02.960 there was

02:07:04.220 a dog

02:07:04.600 pile on

02:07:05.520 by Rosie

02:07:06.560 Greer

02:07:06.980 and

02:07:07.220 Rayford

02:07:08.540 Johnson

02:07:09.060 and

02:07:09.600 the

02:07:10.980 concierge

02:07:14.600 for the

02:07:14.880 hotel

02:07:15.360 a whole

02:07:17.040 bunch

02:07:17.240 of people

02:07:17.520 grabbed

02:07:17.980 him

02:07:18.120 and the

02:07:18.340 first

02:07:18.580 thing

02:07:18.740 they did

02:07:19.080 this point

02:07:19.700 hit

02:07:19.900 was

02:07:20.000 getting

02:07:20.180 away

02:07:20.580 from

02:07:20.800 my

02:07:21.000 father

02:07:21.360 in the

02:07:22.100 opposite

02:07:22.400 direction

02:07:23.000 but they

02:07:23.780 couldn't

02:07:24.120 get it

02:07:24.360 away

02:07:24.600 from him

02:07:25.280 and

02:07:26.500 Sirhan

02:07:26.860 fired

02:07:27.340 six

02:07:28.020 other

02:07:28.600 shots

02:07:29.060 and

02:07:29.360 emptied

02:07:29.700 the

02:07:29.860 chamber

02:07:30.120 it

02:07:30.340 was

02:07:30.380 an

02:07:30.920 eight

02:07:31.100 shot

02:07:31.300 revolver

02:07:31.960 and

02:07:33.460 every

02:07:34.240 one

02:07:34.420 of those

02:07:34.660 shots

02:07:35.000 hit

02:07:35.240 somebody

02:07:35.640 so we

02:07:36.180 know

02:07:36.340 what

02:07:36.480 happened

02:07:36.760 to

02:07:36.880 all

02:07:37.020 of them

02:07:37.760 there's

02:07:38.840 two

02:07:39.040 shots

02:07:39.360 that

02:07:39.600 way

02:07:39.780 we

02:07:39.940 know

02:07:40.120 what

02:07:40.280 happened

02:07:40.600 and

02:07:40.940 there

02:07:41.040 were

02:07:41.160 six

02:07:41.380 shots

02:07:41.620 the

02:07:41.740 other

02:07:41.880 way

02:07:42.100 my

02:07:42.640 father

02:07:43.160 was

02:07:44.540 killed

02:07:44.860 by

02:07:45.100 four

02:07:45.380 shots

02:07:45.780 from

02:07:46.600 behind

02:07:47.100 and

02:07:48.560 all

02:07:48.960 according

02:07:49.420 to

02:07:49.640 Thomas

02:07:49.960 Noguchi's

02:07:50.520 autopsy

02:07:51.160 Thomas

02:07:51.480 Noguchi

02:07:51.820 never

02:07:52.120 believes

02:07:52.520 Sirhan

02:07:52.900 killed

02:07:53.180 and

02:07:53.420 he's

02:07:53.640 the

02:07:53.760 greatest

02:07:54.280 coroner

02:07:55.580 in

02:07:55.960 history

02:07:56.800 he

02:07:58.920 said

02:08:00.520 every

02:08:00.960 one

02:08:01.180 of

02:08:01.260 those

02:08:01.440 shots

02:08:01.860 left

02:08:02.760 tattoo

02:08:03.680 on

02:08:04.820 my

02:08:04.980 dad

02:08:05.280 so

02:08:05.480 they

02:08:05.680 were

02:08:05.840 all

02:08:06.160 contact

02:08:06.540 shots

02:08:06.860 the

02:08:07.060 barrel

02:08:07.400 of

02:08:07.520 the

02:08:07.600 gun

02:08:07.780 was

02:08:07.940 actually

02:08:08.340 touching

02:08:08.820 my

02:08:09.080 father

02:08:09.520 when

02:08:11.000 the

02:08:11.320 killer

02:08:11.780 killed

02:08:12.380 him

02:08:12.540 and

02:08:12.880 so

02:08:13.300 what

02:08:13.860 clearly

02:08:14.300 happening

02:08:14.760 is

02:08:15.200 Sirhan

02:08:15.760 was

02:08:16.120 a

02:08:16.360 distractor

02:08:17.080 he

02:08:18.680 was

02:08:18.880 firing

02:08:19.300 the

02:08:19.540 shots

02:08:19.800 he

02:08:20.000 had

02:08:20.280 no

02:08:20.500 memory

02:08:20.820 of

02:08:21.040 it

02:08:21.540 virtually

02:08:22.760 everybody

02:08:23.300 who's

02:08:23.540 interviewed

02:08:23.820 him

02:08:24.060 believed

02:08:24.340 that

02:08:24.580 he

02:08:24.860 was

02:08:25.300 under

02:08:25.700 some

02:08:26.060 kind

02:08:26.360 of

02:08:26.500 hypnosis

02:08:27.080 he

02:08:28.760 fired

02:08:29.100 the

02:08:29.300 shots

02:08:29.780 and

02:08:30.360 while

02:08:30.840 people

02:08:31.120 were

02:08:31.280 looking

02:08:31.720 focused

02:08:32.160 on

02:08:32.400 him

02:08:32.680 another

02:08:34.380 person

02:08:35.000 fired

02:08:35.740 four

02:08:36.040 shots

02:08:36.300 from

02:08:36.480 behind

02:08:36.800 one

02:08:37.140 went

02:08:37.420 through

02:08:37.740 harmlessly

02:08:38.380 through

02:08:38.760 the

02:08:39.040 shoulder

02:08:39.700 pad

02:08:40.100 of

02:08:40.360 his

02:08:40.560 suit

02:08:40.820 and

02:08:41.040 the

02:08:41.220 two

02:08:41.620 went

02:08:41.840 to

02:08:41.980 his

02:08:42.120 back

02:08:42.400 and

02:08:42.700 one

02:08:42.720 went

02:08:43.180 into

02:08:43.340 his

02:08:43.600 head

02:08:43.880 and

02:08:44.800 in

02:08:44.900 every

02:08:45.220 case

02:08:45.660 the

02:08:45.900 gun

02:08:46.060 was

02:08:46.260 touching

02:08:46.540 him

02:08:46.700 now

02:08:46.920 the

02:08:47.920 person

02:08:49.500 who

02:08:49.760 almost

02:08:50.320 certainly

02:08:50.760 fired

02:08:51.180 those

02:08:51.440 shots

02:08:51.820 was

02:08:52.180 a man

02:08:52.500 called

02:08:52.760 Eugene

02:08:53.120 Cesar

02:08:53.840 who

02:08:55.620 was

02:08:56.000 a

02:08:56.540 he

02:08:57.340 worked

02:08:57.660 at

02:08:57.860 Lockheed

02:08:58.540 he

02:08:58.720 had

02:08:58.860 gotten

02:08:59.160 the

02:08:59.540 job

02:08:59.900 to be

02:09:02.180 a

02:09:02.340 security

02:09:02.640 guard

02:09:02.960 three

02:09:03.760 days

02:09:04.060 before

02:09:04.520 he

02:09:05.060 worked

02:09:05.400 at

02:09:05.560 Lockheed

02:09:06.380 as

02:09:07.080 a

02:09:07.700 high

02:09:08.160 security

02:09:08.600 job

02:09:09.080 he

02:09:09.520 was

02:09:09.840 as it

02:09:10.200 turns

02:09:10.440 out

02:09:10.740 a

02:09:10.940 CIA

02:09:11.320 agent

02:09:12.560 and

02:09:14.660 he

02:09:16.300 admitted

02:09:20.320 he

02:09:20.640 was

02:09:20.820 seeing

02:09:21.280 my

02:09:21.980 father

02:09:22.320 when he

02:09:22.720 fell

02:09:23.040 onto

02:09:23.980 Cesar

02:09:24.440 and

02:09:26.100 as

02:09:26.560 he

02:09:26.680 was

02:09:26.820 falling

02:09:27.120 he

02:09:27.320 turned

02:09:27.620 around

02:09:27.920 and he

02:09:28.200 tore

02:09:28.420 off

02:09:28.680 Cesar's

02:09:29.160 clip

02:09:29.380 on

02:09:29.640 tie

02:09:29.960 so

02:09:30.520 if

02:09:30.660 you

02:09:30.760 see

02:09:31.040 pictures

02:09:31.540 of

02:09:31.660 my

02:09:31.800 father

02:09:32.120 lying

02:09:32.460 on

02:09:32.600 the

02:09:32.720 ground

02:09:33.000 he

02:09:33.240 has

02:09:33.480 that

02:09:33.660 clip

02:09:33.880 on

02:09:34.080 tie

02:09:34.340 in

02:09:34.500 his

02:09:34.660 hand

02:09:34.980 and

02:09:36.920 Cesar

02:09:37.560 says

02:09:38.800 that

02:09:39.320 my

02:09:40.380 father

02:09:40.640 fell

02:09:40.960 on

02:09:41.240 him

02:09:41.460 he

02:09:41.840 drew

02:09:42.060 his

02:09:42.280 gun

02:09:42.640 he

02:09:43.840 said

02:09:44.080 he

02:09:44.200 drew

02:09:44.380 his

02:09:44.580 gun

02:09:44.860 when

02:09:45.280 he

02:09:46.600 saw

02:09:46.960 he

02:09:47.500 changed

02:09:47.920 the

02:09:48.100 story

02:09:48.300 many

02:09:48.620 times

02:09:49.000 about

02:09:49.240 when

02:09:49.460 he

02:09:49.580 drew

02:09:49.740 his

02:09:49.900 gun

02:09:50.100 but

02:09:50.320 when

02:09:50.580 he

02:09:50.780 stood

02:09:51.140 up

02:09:51.620 he

02:09:53.220 had

02:09:53.480 the

02:09:53.620 gun

02:09:53.820 out

02:09:54.220 the

02:09:54.880 police

02:09:55.220 never

02:09:55.540 questioned

02:09:56.000 him

02:09:56.280 at

02:09:56.440 that

02:09:56.640 time

02:09:56.900 and

02:09:57.020 they

02:09:57.140 never

02:09:57.360 took

02:09:57.600 his

02:09:57.760 gun

02:09:57.960 away

02:09:58.220 he

02:09:58.480 later

02:09:58.940 sold

02:10:01.020 the

02:10:01.180 gun

02:10:01.460 to

02:10:02.580 another

02:10:02.860 guy

02:10:03.380 at

02:10:03.540 Lockheed

02:10:04.180 and

02:10:04.500 that

02:10:04.660 gun

02:10:04.920 has

02:10:05.760 been

02:10:05.920 tracked

02:10:06.200 down

02:10:06.520 since

02:10:06.900 the

02:10:07.280 bullets

02:10:08.020 that

02:10:08.760 came

02:10:10.040 from

02:10:10.260 Sirhan's

02:10:10.880 gun

02:10:11.180 none

02:10:11.660 of them

02:10:11.960 matched

02:10:12.260 the

02:10:12.480 bullets

02:10:12.800 that

02:10:13.040 were

02:10:13.180 in

02:10:13.320 my

02:10:13.520 father

02:10:13.880 oh

02:10:15.300 you

02:10:15.660 know

02:10:15.820 it's

02:10:16.180 impossible

02:10:16.760 that

02:10:17.040 Sirhan

02:10:17.480 told

02:10:17.720 my

02:10:17.920 father

02:10:18.260 and

02:10:18.820 Eugene

02:10:21.140 Thames

02:10:21.540 Cesar

02:10:21.900 I was

02:10:22.400 in

02:10:22.580 negotiations

02:10:23.300 with

02:10:23.720 him

02:10:24.080 you

02:10:25.620 know

02:10:25.800 three

02:10:26.240 months

02:10:26.620 ago

02:10:26.960 to

02:10:27.240 go

02:10:27.400 over

02:10:27.600 to

02:10:27.680 the

02:10:27.780 Philippines

02:10:28.160 to

02:10:28.480 meet

02:10:28.700 with

02:10:28.900 him

02:10:29.040 but

02:10:29.180 he

02:10:29.300 wanted

02:10:29.540 to

02:10:29.740 charge

02:10:29.980 me

02:10:30.160 $20,000

02:10:30.940 for

02:10:32.020 that

02:10:32.400 interview

02:10:33.000 and

02:10:34.080 he

02:10:34.700 died

02:10:35.200 at

02:10:36.480 time

02:10:37.340 the

02:10:40.820 motivation

02:10:41.720 Robert

02:10:42.720 was the

02:10:43.140 motivation

02:10:43.600 you think

02:10:44.200 what I

02:10:45.340 hear is

02:10:45.700 the fact

02:10:46.060 that your

02:10:46.500 grandfather

02:10:47.060 was so

02:10:47.620 furious

02:10:47.920 what happened

02:10:48.380 to John

02:10:48.640 F.

02:10:48.860 Kennedy

02:10:49.040 he wanted

02:10:49.560 your father

02:10:50.220 to become

02:10:50.660 a president

02:10:51.120 so they

02:10:51.460 can investigate

02:10:52.100 the CIA

02:10:52.820 is there

02:10:53.780 any truth

02:10:54.360 behind that

02:10:54.980 because

02:10:55.900 that's

02:10:56.400 ridiculous

02:10:57.360 because

02:10:59.700 first of

02:11:02.260 all

02:11:02.620 my

02:11:03.060 grandfather

02:11:05.340 was

02:11:07.060 had a

02:11:09.880 stroke

02:11:10.460 in 1963

02:11:13.020 and he

02:11:15.760 was

02:11:16.040 essentially

02:11:16.680 non-communicative

02:11:18.120 so he

02:11:20.360 even when

02:11:22.320 my uncle

02:11:22.900 was killed

02:11:23.500 he was

02:11:24.160 my grandfather

02:11:24.980 was already

02:11:25.840 in a wheelchair

02:11:27.200 unable to speak

02:11:28.340 oh no

02:11:29.380 my father

02:11:30.740 you know

02:11:33.200 when he ran

02:11:33.840 for president

02:11:34.260 I'm sure

02:11:34.760 that

02:11:35.020 listen

02:11:35.940 my father

02:11:36.520 was

02:11:36.900 the best

02:11:39.200 investigator

02:11:39.940 of his age

02:11:41.600 he had brought

02:11:43.660 down the mafia

02:11:44.320 when he was

02:11:45.020 on the senate

02:11:45.740 he was the chief

02:11:46.420 counsel of the

02:11:47.040 senate rackets

02:11:47.600 committee

02:11:47.780 he was the

02:11:48.560 Robert Mueller

02:11:49.520 of his time

02:11:50.260 times ten

02:11:50.980 he had brought

02:11:52.900 down

02:11:53.400 you know

02:11:53.900 the

02:11:54.300 teamsters

02:11:55.680 union

02:11:56.080 and the

02:11:56.560 bakers union

02:11:57.180 and all

02:11:57.620 of these

02:11:57.960 for corruption

02:11:58.680 he had

02:11:59.460 you know

02:11:59.860 he was the

02:12:00.340 first person

02:12:00.980 to seriously

02:12:01.580 prosecute

02:12:02.300 the mafia

02:12:03.960 and then

02:12:04.660 he had become

02:12:05.300 the attorney

02:12:05.760 general

02:12:06.220 and he was

02:12:06.900 at that time

02:12:07.920 in a

02:12:08.660 day-to-day

02:12:09.360 battle

02:12:09.740 with the CIA

02:12:10.420 you can read

02:12:11.180 all about

02:12:11.600 this in my

02:12:12.120 book

02:12:12.380 American Values

02:12:13.220 because the

02:12:13.580 CIA

02:12:13.900 headquarters

02:12:15.800 in Langley

02:12:16.420 was only

02:12:17.180 a half a mile

02:12:17.880 from my house

02:12:18.620 and so

02:12:19.120 we had

02:12:19.920 all the

02:12:20.500 Cubans

02:12:21.040 in our

02:12:22.160 house

02:12:22.460 constantly

02:12:23.040 CIA agents

02:12:24.240 I grew up

02:12:25.860 surrounded by

02:12:26.560 KGB agents

02:12:27.600 CIA agents

02:12:28.600 Cubans

02:12:29.200 special forces

02:12:30.720 repelling off

02:12:31.540 the roof

02:12:31.840 of our house

02:12:32.360 and my

02:12:33.720 father would

02:12:34.340 stop at the

02:12:35.080 CIA

02:12:35.440 every morning

02:12:36.940 and they

02:12:37.280 hated him

02:12:37.820 there

02:12:38.120 on his way

02:12:39.780 to work

02:12:40.120 at the

02:12:40.340 Justice

02:12:40.600 Department

02:12:41.120 and you

02:12:41.860 know

02:12:41.940 the last

02:12:42.440 thing

02:12:42.700 I think

02:12:43.080 they probably

02:12:43.580 wanted

02:12:43.980 was for him

02:12:44.680 to be

02:12:44.900 President

02:12:45.160 of the

02:12:45.300 United

02:12:45.520 States

02:12:45.800 about

02:12:46.140 two weeks

02:12:48.100 before

02:12:48.580 he died

02:12:49.280 when he

02:12:50.280 realized

02:12:50.780 it became

02:12:51.720 clear that

02:12:52.140 he was

02:12:52.360 going to

02:12:52.580 win in

02:12:52.940 California

02:12:53.500 and if

02:12:54.780 he won

02:12:55.060 in California

02:12:55.680 he would

02:12:56.520 win

02:12:56.940 he had

02:12:58.280 a clear

02:12:58.620 view

02:12:58.920 he had

02:12:59.220 already

02:12:59.480 beaten

02:12:59.840 Humphrey

02:13:00.420 in 60

02:13:01.040 he ran

02:13:01.640 my uncle's

02:13:02.240 campaign

02:13:02.540 he had

02:13:02.860 already

02:13:03.040 beaten

02:13:03.320 Nixon

02:13:03.660 he knew

02:13:04.060 how to

02:13:04.280 beat

02:13:04.420 those

02:13:04.680 guys

02:13:04.980 and

02:13:05.140 those

02:13:05.320 would

02:13:05.400 be

02:13:05.540 the

02:13:05.580 only

02:13:05.780 two

02:13:06.020 guys

02:13:06.340 who

02:13:06.500 stood

02:13:06.700 in

02:13:06.980 the

02:13:07.400 lighthouse

02:13:07.680 oh

02:13:09.400 and

02:13:09.720 you know

02:13:10.260 the country

02:13:10.740 wanted him

02:13:11.300 he was

02:13:11.520 enormous

02:13:11.960 and popular

02:13:12.560 his brother

02:13:13.200 was a

02:13:13.780 martyr

02:13:14.200 and beloved

02:13:15.140 and you

02:13:16.040 know

02:13:16.240 he would

02:13:17.400 have won

02:13:17.760 he was

02:13:19.680 asked at

02:13:20.420 that point

02:13:21.060 he had been

02:13:21.680 asked many

02:13:22.300 times

02:13:22.900 what he thought

02:13:23.840 of the

02:13:24.060 Warren Commission

02:13:24.740 whether he

02:13:25.400 would reopen

02:13:25.940 it

02:13:26.220 and he

02:13:26.480 had always

02:13:27.020 dodged

02:13:27.620 the question

02:13:28.180 and although

02:13:29.880 he privately

02:13:30.900 believed

02:13:31.360 the CIA

02:13:32.080 had killed

02:13:32.880 his brother

02:13:33.380 he publicly

02:13:35.460 would never

02:13:36.040 say there was

02:13:36.680 anything wrong

02:13:37.320 with the

02:13:37.580 Warren Commission

02:13:38.200 but two weeks

02:13:39.360 before

02:13:39.900 he was

02:13:40.400 at

02:13:40.720 I think

02:13:41.240 Los Angeles

02:13:44.420 Community

02:13:44.940 College

02:13:45.460 there's a

02:13:47.120 tape of him

02:13:47.740 where a

02:13:48.480 student

02:13:48.880 asked him

02:13:49.740 if you're

02:13:50.700 elected

02:13:51.060 president

02:13:51.500 will you

02:13:52.080 reopen

02:13:52.580 the Warren

02:13:53.000 Commission

02:13:53.420 and there

02:13:54.080 was a

02:13:54.380 long

02:13:54.780 pause

02:13:55.360 and then

02:13:57.160 he quietly

02:13:57.720 says yes

02:13:58.560 and I

02:13:59.780 think that

02:14:00.380 would have

02:14:01.160 scared the

02:14:01.720 hell out

02:14:02.300 of a

02:14:03.340 lot of

02:14:03.600 people

02:14:03.880 wow

02:14:05.820 I wish

02:14:07.640 we had

02:14:07.880 another hour

02:14:08.300 together

02:14:08.740 but look

02:14:09.740 we're at

02:14:10.040 the end

02:14:10.300 of it

02:14:10.480 and I

02:14:10.700 appreciate

02:14:10.980 you sharing

02:14:11.420 with us

02:14:11.920 the tail

02:14:12.500 end of it

02:14:12.900 the last

02:14:13.540 part of

02:14:13.860 speed run

02:14:14.320 I'll give

02:14:14.680 you a name

02:14:15.120 just tell

02:14:15.480 me the

02:14:15.720 first thing

02:14:16.080 that comes

02:14:16.420 to your

02:14:16.680 mind

02:14:16.940 okay

02:14:18.000 Dr. Judy

02:14:20.060 Mikevitz

02:14:20.740 she's a

02:14:22.260 hero

02:14:22.540 hero

02:14:24.620 yeah

02:14:25.720 Bill Gates

02:14:26.580 I would

02:14:29.000 say the

02:14:29.560 word

02:14:29.800 dangerous

02:14:30.440 Anthony

02:14:31.860 Fauci

02:14:32.360 hubris

02:14:33.180 I would

02:14:33.540 say hubris

02:14:34.400 with Bill

02:14:35.260 Gates

02:14:35.680 Anthony

02:14:37.940 Fauci

02:14:38.580 is honest

02:14:40.920 Trump

02:14:42.260 I would

02:14:45.760 say

02:14:46.380 I don't

02:14:51.880 want to

02:14:52.140 say anything

02:14:52.680 I don't

02:14:53.340 want to

02:14:54.160 be political

02:14:54.780 Robert

02:14:56.200 De Niro

02:14:56.720 I love

02:14:59.420 Robert

02:14:59.740 De Niro

02:15:00.120 I do too

02:15:01.260 Lyndon

02:15:02.180 Johnson

02:15:02.700 you know

02:15:09.480 Lyndon

02:15:09.820 Johnson

02:15:10.280 was

02:15:10.960 I

02:15:15.080 liked

02:15:17.600 Johnson

02:15:18.160 okay

02:15:18.900 I didn't

02:15:19.360 like him

02:15:19.820 when

02:15:20.080 he was

02:15:20.840 was

02:15:21.960 Vietnam

02:15:22.840 he wrote

02:15:24.820 me a

02:15:25.080 very sweet

02:15:25.740 letter

02:15:26.020 when I

02:15:26.380 was a

02:15:26.720 kid

02:15:26.900 when I

02:15:27.200 injured

02:15:27.560 myself

02:15:28.160 and he

02:15:29.840 actually

02:15:30.260 people don't

02:15:30.780 know this

02:15:31.220 but he

02:15:31.520 was very

02:15:32.280 kind

02:15:33.220 to my

02:15:33.580 father

02:15:34.000 at a

02:15:34.440 time

02:15:34.660 when my

02:15:34.960 father

02:15:35.300 was

02:15:35.540 shattered

02:15:35.980 he

02:15:36.500 really

02:15:37.840 made

02:15:38.180 an effort

02:15:38.500 that he

02:15:38.860 didn't

02:15:39.060 need

02:15:39.300 to make

02:15:39.800 to get

02:15:40.580 my

02:15:40.780 father

02:15:41.140 re-involved

02:15:42.040 in public

02:15:42.840 life

02:15:43.200 but then

02:15:43.640 you know

02:15:43.940 he got

02:15:44.300 very jealous

02:15:44.980 and their

02:15:45.660 relationship

02:15:48.340 deteriorated

02:15:49.200 but I

02:15:49.540 think

02:15:49.860 he

02:15:51.120 from

02:15:51.440 the

02:15:52.380 he

02:15:52.900 had

02:15:53.280 a

02:15:54.280 kindness

02:15:54.700 to him

02:15:55.240 that came

02:15:55.680 out

02:15:56.040 in a

02:15:56.740 critical

02:15:57.220 time

02:15:57.700 for my

02:15:58.140 dad

02:15:58.540 J. Edgar

02:16:00.320 Hoover

02:16:00.660 he was

02:16:02.140 a

02:16:02.640 catastrophe

02:16:05.280 for

02:16:06.000 democracy

02:16:06.960 and for

02:16:07.580 law

02:16:09.700 enforcement

02:16:10.300 and

02:16:10.780 you know

02:16:11.300 he was

02:16:11.620 a racist

02:16:12.380 terrible

02:16:14.580 terrible

02:16:15.100 man

02:16:15.600 he

02:16:16.760 grows

02:16:17.320 from

02:16:17.520 CDC

02:16:18.000 who

02:16:19.080 Tedros

02:16:20.380 he's

02:16:21.480 a

02:16:21.600 work

02:16:21.840 criminal

02:16:22.140 that's

02:16:24.240 my

02:16:24.420 list

02:16:24.780 Robert

02:16:25.620 thank you

02:16:26.440 for

02:16:26.860 agreeing

02:16:27.420 to do

02:16:27.880 this

02:16:28.100 long

02:16:28.460 form

02:16:28.780 interview

02:16:29.160 I

02:16:29.400 think

02:16:29.600 we've

02:16:29.800 been

02:16:29.920 talking

02:16:30.240 for

02:16:30.520 a good

02:16:30.740 two

02:16:30.920 and a

02:16:31.120 half

02:16:31.280 hours

02:16:31.760 on

02:16:32.080 many

02:16:32.400 different

02:16:32.720 topics

02:16:33.240 thank you

02:16:33.940 so much

02:16:34.220 for your

02:16:34.440 time

02:16:34.640 take care

02:16:35.060 bye

02:16:35.320 bye

02:16:35.640 thanks

02:16:36.060 everybody

02:16:37.180 for listening

02:16:37.840 and by

02:16:38.160 the way

02:16:38.360 if you

02:16:38.520 haven't

02:16:38.740 already

02:16:39.000 subscribed

02:16:39.460 to

02:16:39.700 value

02:16:39.940 tamed

02:16:40.200 on

02:16:40.400 iTunes

02:16:41.080 please

02:16:41.640 do

02:16:41.940 so

02:16:42.300 give

02:16:42.740 us

02:16:42.900 a

02:16:43.040 five

02:16:43.300 star

02:16:43.640 write

02:16:44.180 a

02:16:44.300 review

02:16:44.520 if

02:16:44.680 you

02:16:44.760 haven't

02:16:44.940 already

02:16:45.340 and

02:16:45.540 if

02:16:45.680 you

02:16:45.740 have

02:16:45.840 any

02:16:45.980 questions

02:16:46.460 for

02:16:46.780 me

02:16:46.920 that

02:16:47.040 you

02:16:47.140 may

02:16:47.260 have

02:16:47.460 you

02:16:47.740 can

02:16:47.900 always

02:16:48.200 find

02:16:48.420 me

02:16:48.540 on

02:16:48.680 snapchat

02:16:49.260 instagram

02:16:50.000 facebook

02:16:50.620 or

02:16:50.960 youtube

02:16:51.280 just

02:16:51.580 search

02:16:51.860 my name

02:16:52.220 patrick

02:16:52.720 middavid

02:16:53.220 and I

02:16:53.660 actually

02:16:54.060 do

02:16:54.440 respond

02:16:54.960 back

02:16:55.300 when you

02:16:55.580 snap

02:16:55.900 me

02:16:56.160 or send

02:16:56.680 me

02:16:56.800 a

02:16:56.900 message

02:16:57.220 on

02:16:57.560 instagram

02:16:58.000 with

02:16:58.280 that

02:16:58.460 being

02:16:58.640 said

02:16:58.840 have

02:16:59.000 a

02:16:59.120 great

02:16:59.420 day

02:16:59.640 today

02:16:59.880 take

02:17:00.140 care

02:17:00.240 everybody

02:17:00.580 bye

02:17:00.840 bye

Valuetainment - July 03, 2020

Episode 484： Robert Kennedy Jr. Destroys Big Pharma, Fauci & Pro-Vaccine Movement

Episode Stats

Summary

Transcript