This Past Weekend with Theo Von - E306 Robert F Kennedy Jr

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00:00:21.780 Today's guest is environmental attorney,

00:00:24.900 author, and president of the Children's Health Defense,

00:00:28.880 to name a few things.

00:00:31.080 He's outspoken.

00:00:33.040 He's, I mean, he just knows so much.

00:00:35.640 He's like, I mean, he's just like wandering through a library.

00:00:39.740 It is my friend, Mr. Robert Kennedy Jr.

00:00:58.880 We didn't have, like by us, we had a lot of cranes, you know.

00:01:16.920 I actually thought about you a couple weeks ago.

00:01:18.220 I was down in.

00:01:18.760 It was my first time going to this place called Jaskolowski.

00:01:24.460 It's down like, like the fishing villages off of like New Orleans.

00:01:28.660 It's probably about 30 minutes away.

00:01:30.140 And they pronounce it a little bit different

00:01:31.640 because I think it's like super Polish, the word or something.

00:01:34.400 It starts with like a couple of different whys. 1.00

00:01:36.800 And so it's like, it's kind of hard to pronounce.

00:01:38.360 But I got down there and I saw egrets.

00:01:40.160 I saw cranes.

00:01:41.200 I saw a couple of owls, you know,

00:01:45.860 and I actually thought about you

00:01:46.780 because I know that you care about the animals so much

00:01:48.600 and stuff like that.

00:01:50.200 Well, I've spent a lot of time in the Atchafalaya,

00:01:54.800 which is, you know, near where you are.

00:01:57.740 Between Baton Rouge and New Orleans.

00:01:59.700 Yeah, and that's one of the biggest staging zones

00:02:03.200 for the migrations of, you know, the waterfowl

00:02:07.480 and, you know, a lot of the other migratory birds

00:02:10.900 that are about to go down to Latin America.

00:02:12.960 I think it's actually the biggest wetland in North America.

00:02:17.960 It's bigger than the Everglades.

00:02:19.940 But we started talking, you and I started talking about this

00:02:22.780 because I did Mike Tyson's hot boxing.

00:02:26.000 Hot boxing.

00:02:27.300 And you were asking me how it was.

00:02:31.180 And I, he's very subdued.

00:02:33.900 You know, I, I really, I love him.

00:02:38.460 He's very, very subdued.

00:02:40.380 But we ended up talking a lot about pigeons

00:02:42.780 because he was a pigeon guy.

00:02:45.280 That's how he kind of started.

00:02:46.620 He got a fight, he got in a fight

00:02:48.160 over somebody who stole his pigeon.

00:02:51.300 That's the first time he ever hit anybody. 1.00

00:02:52.900 Oh, damn. 0.99

00:02:53.580 And that's kind of a famous story. 0.99

00:02:56.300 But he's a pigeon fancier and I grew up with pigeons.

00:02:59.380 I started racing, homing pigeons when I was seven years old.

00:03:02.760 So was that big?

00:03:03.640 Because I remember, I went to the Spy Museum one time in Philadelphia

00:03:06.220 and they had pigeons that had like a little briefcase on their arm.

00:03:10.400 You know, they had pigeon, I'll have like a little,

00:03:12.300 can you bring that up too, Nick?

00:03:13.740 They'll have pigeons that even will have like a little backpack on,

00:03:16.200 you know, and they used to use them for spy work.

00:03:18.860 Yeah, they have.

00:03:20.220 Yes, that's true.

00:03:21.220 And in fact, they used them for, well, of course,

00:03:24.800 they've always been a military asset

00:03:28.500 because they would use them to communicate, you know,

00:03:31.200 before they had telephones and walkie-talkies.

00:03:33.400 And in fact, they used them right up until World War, World War I.

00:03:42.220 And they really used them?

00:03:43.480 Like if you do it, like what can you tell a pigeon and he'll go?

00:03:46.020 Well, you can't tell him anything, but you can,

00:03:48.640 the pigeon will always go back to the first place that he saw daylight.

00:03:53.780 Like, oh, if you, you know, raise a pigeon,

00:03:58.820 if you get an adult pigeon, you buy a pigeon at a pigeon auction.

00:04:03.700 And, you know, a really big Homer, a classic these days,

00:04:07.640 people pay a million dollars for a good Homer.

00:04:10.880 For a good Homer pigeon, please.

00:04:12.220 They rate them by miles.

00:04:13.720 Oh, if you're a thousand mile bird, you know, you're worth a lot of money.

00:04:18.760 Back when I was a kid, we would, you know, pay a couple.

00:04:21.300 Yeah, those are called blue bars.

00:04:24.600 Okay.

00:04:25.340 And those are Hungarians, which is the kind that I used to raise. 0.99

00:04:32.760 And we would put them in a train and the train was all the other,

00:04:37.200 you know, we had a pigeon club and all the other people

00:04:40.580 would put them in a train right outside of my home in Virginia.

00:04:45.800 And the train would go down to Delaware

00:04:47.640 and the conductor would then release them all at once.

00:04:50.740 And when your pigeon came back to your coop,

00:04:52.980 you would take his band off and run down to the post office

00:04:56.280 and have it time stamped.

00:04:57.660 And that's how they would, you know, that's how they would do the races. 0.90

00:05:02.200 And so the pigeon, they'll know.

00:05:04.200 So the first place it sees daylight is the place it'll always come back to?

00:05:07.900 It'll always come back to.

00:05:08.960 So if you buy a pigeon at an auction or whatever,

00:05:12.960 you have to keep that pigeon locked up for the rest of his life.

00:05:15.720 Because if he ever gets out, he'll go back to the place where he was born.

00:05:19.700 In the military.

00:05:20.980 Like a hot woman kind of, you know. 0.89

00:05:23.640 In the military, they taught them how to go to a,

00:05:27.040 they would have a little, a coop on wheels.

00:05:29.200 And they would teach them to go to that coop

00:05:33.360 and they would keep moving the coop

00:05:35.060 so that the pigeon would learn to find the coop.

00:05:38.680 No matter where.

00:05:39.260 So he's not going back to a, you know, to a stationary barn.

00:05:42.360 Wow.

00:05:43.320 And in fact, during World War I,

00:05:47.480 they knew where all of the falcon, falcons,

00:05:52.160 which I moved to falconry when I was about 10 years old.

00:05:55.360 Is that early to be moving to that?

00:05:57.000 Or is that where you like, where is it?

00:05:58.240 Well, that's when I found out about it.

00:05:59.900 And there happened to be a guy who lived near me

00:06:04.360 who was one of the pioneers of American falconry.

00:06:06.940 And I read a book about it.

00:06:08.240 But my uncle was in the White House and I,

00:06:12.540 and people were talking about Camelot.

00:06:14.400 And I read a book about Camelot by T.H. White,

00:06:17.420 who is a British author, who is also a falconer.

00:06:19.980 And he has, and that book was called

00:06:22.180 The Once and Future King.

00:06:24.140 They later made it into a Disney, you know, movie

00:06:26.820 called The Sword and the Stone.

00:06:29.100 Oh, wow.

00:06:30.140 But there's a chapter in there on falconry.

00:06:33.280 And I read that chapter and I just said,

00:06:35.780 this is what I want to do with my life.

00:06:38.240 And as it happened, there was a guy who had been

00:06:41.280 an All-American football player at Penn State.

00:06:46.040 He lived about a mile from my house.

00:06:48.220 His name was Alvin Nye.

00:06:49.440 And he was one of the pioneers of American falconry.

00:06:52.120 And my father knew about him because whenever,

00:06:55.280 he worked as a designer of jets at the Pentagon.

00:07:00.540 Of jets?

00:07:01.640 Yeah.

00:07:02.220 He was designing jets.

00:07:04.240 And he was an engineer.

00:07:05.680 And one of the things that the State Department knew about him,

00:07:11.400 because whenever they were visiting Arab dignitaries

00:07:14.520 who came to Washington,

00:07:17.400 the Arabs are all crazy about falconry. 1.00

00:07:20.020 Really?

00:07:20.360 Yeah, it's crazy about it.

00:07:22.320 And that's falcons, right?

00:07:24.240 Yeah, that's falcons.

00:07:25.840 So falcon is, I mean, so when you moved up to falcons,

00:07:30.400 were you just, I mean, I can imagine if you were leaving pigeons,

00:07:32.720 you probably left them behind, huh?

00:07:34.500 Well, actually, pigeons remain, are kind of part of the sport of falconry.

00:07:39.740 Okay.

00:07:39.960 You use pigeons and all in different parts of the sport.

00:07:44.320 So I kept pigeons.

00:07:46.640 I had pigeons all my life until really until I moved to California six years ago.

00:07:50.840 I kept pigeons.

00:07:52.560 But I still have hawks at, you know, back in New York.

00:07:57.600 I have my falconry license out here, but I never brought them out here.

00:08:01.060 I got involved in surfing and, you know, a lot of other stuff,

00:08:04.700 and it just wasn't as easy here.

00:08:09.520 But, yeah, so this guy, I apprenticed under this guy, under Alvin.

00:08:17.020 Beginning when I was about 11 years old,

00:08:20.100 and then at that time there was no regulation.

00:08:23.860 They passed regulations in 1973, and then you had to get a license.

00:08:28.420 And, you know, I actually wrote the test at Falconer's Take in New York State

00:08:36.060 and elsewhere to get their license, and I've been involved in it my whole life.

00:08:40.600 So would you compete, like, once you have this knowledge in this,

00:08:43.220 so you're learning, and, like, what is the man teaching you

00:08:45.680 when you learn from Mr., what was his name again, Smith?

00:08:49.560 He's teaching you how to trap the hawk, how to care for it,

00:08:55.200 how to treat it when it gets sick,

00:08:56.900 and, of course, how to train it and then hunt with it.

00:08:59.640 You're hunting my birds.

00:09:02.600 Take, I fly mainly Harris Hawks, and I've flown every kind of hawk,

00:09:08.000 but nowadays I fly mainly Harris Hawks.

00:09:10.440 They're very easy and they're very, very fun,

00:09:12.240 and they hunt in groups.

00:09:13.840 They're very sociable.

00:09:15.040 They seem to be, you know, what you and I would interpret

00:09:17.980 as affectionate towards humans, and they're almost like dogs.

00:09:21.660 So when you take them to hunt, I mean, I grew up raising hamsters.

00:09:25.660 I didn't mean to be talking about this.

00:09:27.620 No, it's fascinating, man, because, so let's see a Harris Hawk.

00:09:33.480 I just want to see what this even looks like.

00:09:35.680 And now when you take them to train or something, what do they do?

00:09:39.100 When you take them to hunt with them, like, they're in a cage or on your arm?

00:09:46.660 No, actually, they'll ride on the backseat of the car.

00:09:49.860 Unbelievable.

00:09:50.780 And I knew that.

00:09:52.060 And they'll hunt.

00:09:52.780 You knew that.

00:09:53.380 I mean, I just had an inkling.

00:09:54.940 If I look like that, man, I'm definitely, you know, I'm not driving.

00:09:58.500 I'm definitely getting a ride.

00:09:59.700 And they really just like dogs.

00:10:03.060 When you get to the place where you're hunting, you let them out of the car,

00:10:07.740 and they'll usually jump up and sit for a second and orient on the roof of the car.

00:10:12.700 And then as you start walking through the woods, they'll follow you.

00:10:17.040 Okay.

00:10:18.000 Yeah.

00:10:18.560 And then I hunt with dogs, too.

00:10:21.120 So I have a couple of dogs who will be, you know, looking for rabbits and squirrel

00:10:27.420 and pheasant and turkey.

00:10:28.780 And when they, and when something moves, they'll chase it.

00:10:34.360 Okay.

00:10:34.580 So if you say, when you're walking through the woods, they'll what?

00:10:37.100 Just be kind of going from tree to tree?

00:10:38.580 They know that you're their owner the whole time?

00:10:40.060 Yeah, they go to tree to tree.

00:10:40.940 They stay in the canopy above your head.

00:10:43.960 And they know that you're going to kick up game.

00:10:47.260 So, you know, they know, they learn, and they learn.

00:10:52.060 Like, the bird that I was flying until recently, I had for 24 years.

00:10:56.960 Wow.

00:10:57.320 And then every year, I would breed that bird and get some eggs and babies out of them.

00:11:02.820 And, you know, those birds are now all over New York State and all over the, at least all

00:11:07.940 over the East Coast.

00:11:09.240 You're working at the grassroots level of helping the environment if you are breeding birds.

00:11:13.600 Yeah.

00:11:13.820 Like I said, you know, it was a passion for me from when I was really little.

00:11:20.840 Man, yeah, because we, I grew up, I used to sell hamsters when I was growing up.

00:11:26.760 And we used to, you know, the big ones around us were the Roborowski hamsters.

00:11:30.340 Would you bring that up, Nick?

00:11:33.580 This is in Louisiana.

00:11:35.040 Yeah.

00:11:35.600 And we used to sell hamsters and guinea pigs or G-pigs, they used to call them.

00:11:38.600 They eat those down there.

00:11:40.100 Yeah.

00:11:41.200 Yeah.

00:11:41.560 They call them gues in Latin America and Ecuador.

00:11:45.300 Oh, you get down to, oh, you get down to Ecuador, bro.

00:11:47.300 You take a gerbil anywhere south of Paraguay and it's a wrap, you know?

00:11:52.720 I mean, Nicaragua, you show up with one of these bad boys, they think it's Thanksgiving,

00:11:56.140 you know?

00:11:57.840 But we have a different affinity for animals now.

00:11:59.840 I feel like if it looks cute or if it's been marketed as cute, it becomes not a food anymore,

00:12:04.460 you know?

00:12:05.780 Once things get marketed as being too cute.

00:12:07.600 So you'll get there into the world.

00:12:08.880 In truth, it's not a good food, in my opinion.

00:12:13.900 Anyhow.

00:12:14.580 Yeah.

00:12:14.940 And I, you know, when I, when I, I spent a lot of time in Ecuador and I lived in Peru for

00:12:20.220 a while and I ended up eating a lot of guinea pigs, I went to a restaurant.

00:12:24.740 I took Cheryl to a restaurant where they were selling them for food and they had them, you 0.96

00:12:28.600 know how the, um, when you go into a seafood restaurant in New England and they have all

00:12:33.340 the lobsters in the tank and you can pick the one and they're alive in there.

00:12:38.400 Well, they had one of those with a, they had this really cute guinea pig house and you

00:12:44.680 could pick the guinea pig you were eating and, you know, Cheryl is just. 1.00

00:12:49.420 Brooker heart.

00:12:49.800 Yeah, I broke her heart.

00:12:51.040 Hopefully it wasn't balanced.

00:12:51.960 That wasn't balanced.

00:12:52.560 No, it wasn't.

00:12:55.320 Wow.

00:12:55.820 So, so, so very similar to the lobster in the tank, they just had these guinea pigs just

00:12:59.360 like in a big, like kind of a children's like playhouse or something kind of little deal.

00:13:02.300 It was a multi-storied playhouse with little balconies on it and it looked like an apartment

00:13:08.980 building for guinea pigs and there's no way they look like little people in there and

00:13:13.940 there's no way that you would ever eat one of those.

00:13:17.020 But some people are rolling in and being like, oh, that's the one.

00:13:19.160 Yeah.

00:13:19.620 That's amazing, man.

00:13:21.040 Yeah.

00:13:21.200 We never had any of that.

00:13:22.040 I've had owl.

00:13:23.200 I've had some wild meats.

00:13:24.420 People that have like, my sister's family will grill up anything that's dead.

00:13:28.880 So we've had owl.

00:13:30.080 We've had like, what else did we have?

00:13:31.620 The roadkill type.

00:13:32.600 What, owl?

00:13:34.480 Roadkill.

00:13:35.720 No, they'll have like yard chicken, just chickens that they've raised in their yards.

00:13:39.180 I'm trying to think of what else that I've had that was probably, you know, kind of unique

00:13:42.260 growing up.

00:13:42.920 Snake.

00:13:43.760 Sometimes somebody, I used to work on a farm for a couple of years and people would kill

00:13:46.280 a snake.

00:13:47.340 And somebody, sometimes if somebody had enough time, they would cook it at lunch.

00:13:51.500 You must have eaten alligator because that's on all the menus down there.

00:13:54.700 Yeah, I've eaten alligator.

00:13:55.680 Frog was really, you know, when I was young, it was fun to give a kid some frog, you know.

00:13:59.840 At the restaurants, they used to have a lot of these kind of singing.

00:14:04.460 They had like this kind of black group of gentlemen that were like a quartet and they 0.99

00:14:08.640 would sing.

00:14:09.280 And then at the end of the thing, they would give all the kids a little bit of frog, you

00:14:12.080 know.

00:14:12.320 It was just like something like fancy kind of restaurant we would go to, like when my

00:14:16.480 parents were having an anniversary or something.

00:14:19.040 But man, that's wild though.

00:14:21.020 I don't know.

00:14:21.360 I've never met anybody that knew how to hunt with a hawk.

00:14:24.720 I mean, that's pretty.

00:14:26.040 And do hawks have, or with a falcon, does a falcon have an arch nemesis?

00:14:29.840 In nature?

00:14:32.940 Well, falcons get eaten a lot by eagles.

00:14:37.600 Unbelievable.

00:14:38.560 And then at night, they get eaten by owls because they can't see anything at night.

00:14:43.440 And that's why you put a hood on them because once it gets dark, they just get calm because

00:14:47.500 there's nothing they can do about anything.

00:14:49.500 Wow.

00:14:50.340 Their eyes are adapted for seeing both microscopically and telescopically during the daytime.

00:14:56.060 And, but they're almost incapable of seeing anything at night.

00:15:01.380 But a lot of the Western falconers, when they, you know, they hunt sage grouse and they have

00:15:09.340 to hunt early in the morning because their birds will get eaten by eagles.

00:15:12.920 When the bird goes down on a sage grouse, the eagle will see that from miles away and go

00:15:18.700 down and eat both the grouse and the hawk. 1.00

00:15:21.520 Damn. 1.00

00:15:22.380 I know those are, man. 1.00

00:15:24.240 Do you know, 80% of hawks die during their first year.

00:15:27.880 However, they have, it's hard for them to figure out how to hunt and they, you know, only the

00:15:36.660 really smart and lucky ones survive.

00:15:40.000 A lot of, they have a lot of nemesis.

00:15:42.500 It's mainly owls and eagles.

00:15:45.920 So you're growing up.

00:15:47.100 So you guys, so take me back also to the pigeon thing.

00:15:49.700 So you would take a pigeon, you would let it go, you would put it on a train.

00:15:53.420 Yeah, we put it on the train.

00:15:54.560 And it was like a pigeon club you were in.

00:15:56.260 Yes.

00:15:56.620 So everybody have a pigeon, they put it on the train, it goes to somewhere, maybe down

00:16:00.600 to the beach or somewhere, wherever it takes it, Myrtle Beach or something.

00:16:03.540 And then they let it loose.

00:16:05.640 Right.

00:16:06.300 And then.

00:16:06.740 Like maybe a hundred miles, the really good pigeons would go two or three hundred miles.

00:16:13.880 If you, you know, if you had a 500 mile homer, that's what you would brag about.

00:16:21.120 That's like having like one of those big marbles that does like a steely marley.

00:16:24.920 Wow.

00:16:25.360 Wow.

00:16:26.220 That's fascinating, man.

00:16:27.560 So, so now whoever got theirs back first, did they kind of win the contest?

00:16:31.280 Yeah, they win.

00:16:32.380 I see.

00:16:34.240 That's amazing, man.

00:16:36.100 I can't even imagine that.

00:16:38.440 I can't even.

00:16:39.100 Because I think I would not have enough trust in my heart that I would believe that that

00:16:42.080 bird was ever going to come back.

00:16:43.240 It must have lifted your spirits when it got back.

00:16:44.500 You don't take them a hundred mile away the first time you do it.

00:16:47.860 I would take them to the school in the morning and let them go and go on the weekends farther

00:16:54.460 and farther away and, you know, make sure that they come back.

00:16:57.800 Like, that's fascinating, man.

00:16:59.980 Dude, so what was it?

00:17:00.940 So when I picture like, you know, they didn't have any Kennedys on our street growing up.

00:17:05.340 And so I picture, if I ever thought of a Kennedy, you know, I thought of like, you know, you

00:17:11.040 guys have like really nice dishes, like nice, you know, cupboards, silver, crabs, you know,

00:17:19.140 everything like, was it like maypoles?

00:17:21.900 I picture like people constantly like just dancing in the yard.

00:17:25.320 Like, was it?

00:17:26.440 What was it?

00:17:27.540 What was it?

00:17:28.880 That's just what I picture.

00:17:29.900 I'm just telling you.

00:17:30.420 My house was chaos.

00:17:31.680 I had 11 brothers and sisters.

00:17:34.160 And, you know, I had a very, very, you know, I had a wonderful life.

00:17:42.020 But a lot of outdoor stuff.

00:17:43.840 My parents would lock us out in the morning and we weren't allowed to come in until the

00:17:48.280 night.

00:17:48.780 And we spent a lot of time, particularly in the summer.

00:17:51.700 I had, you know, I had my 11 brothers and sisters, 29 cousins.

00:17:55.380 We all lived together.

00:17:57.000 And, you know, there was a lot of mayhem, a lot of laughter and just outdoor, you know,

00:18:08.400 outdoors, fishing, skiing, scuba diving.

00:18:14.480 And would the older kids teach to the younger kids?

00:18:16.620 Was that kind of how it went?

00:18:17.680 Yeah.

00:18:19.280 Yeah.

00:18:20.920 That's amazing, man.

00:18:22.340 Yeah.

00:18:22.660 I can't even imagine that.

00:18:24.040 I mean, it just seems like.

00:18:25.660 Yeah.

00:18:25.860 Cause I guess I just always thought about it as, and did it feel like you guys were like

00:18:29.320 so separate from the world of your parents?

00:18:30.920 Cause they were living in like a, more of like a political world.

00:18:33.360 No, everything was, you know, we, we felt, we were included in everything.

00:18:38.760 I was, you know, I, the first time that I came to California was for the 1960 convention

00:18:44.680 and I saw my uncle get inaugurated and then I flew back on the airplane with him and sat

00:18:53.020 next to him on the plane.

00:18:54.160 But my father would, you know, my home was in Virginia, but at that time you could get

00:19:00.000 to the justice department in about eight or nine minutes if you were driving fast.

00:19:05.140 And so my father would come home at night and he would talk about integrating the University

00:19:11.740 of Alabama or, you know, whatever the issues of the day was.

00:19:16.000 And he, you know, we were always included and then we visited him, the white, and at the 0.94

00:19:20.040 justice department, I, one day my uncle invited me to spend the morning with him in the White

00:19:28.200 House in the Oval Office.

00:19:29.660 We were, you know, we were part of all of the, I sat behind a couch during the Cuban

00:19:38.960 Missile Crisis and, you know, listened to my, our house was kind of a satellite white house 0.80

00:19:47.960 because my father was the attorney general and he was the president's chief advisor.

00:19:52.260 We were a mile away from the CIA headquarters in Langley and my father at that time was,

00:19:59.600 you know, was involved with trying to get the CIA to behave.

00:20:05.500 And so all of that, you know, there were Green Berets at our house, there were Cuban refugees, 1.00

00:20:10.740 there was, you know, the entire milieu of that period was... 0.99

00:20:16.260 Damn, damn DMV, it sounds like, you know. 0.99

00:20:19.060 I mean, it just has, you know, it's like, it just sounds like so much going on. 1.00

00:20:25.360 It was every Friday when we were at the Cape, there would be three helicopters that would

00:20:30.760 land, Marine helicopters that would land on our lawn every Friday.

00:20:35.300 And my uncle would get off President Kennedy.

00:20:38.660 My father was the attorney general.

00:20:40.940 My uncle, Sarge Driver, who was the director of the Peace Corps.

00:20:43.740 My uncle, Ted Kennedy, who was in the Senate already at that time.

00:20:48.040 And my uncle, Steve Smith, who was chief of staff.

00:20:52.380 And the White House would move to our house for the weekend.

00:20:57.300 And, you know, there was always interesting people there.

00:21:01.140 And we had, after 1962, my uncle developed this very close relationship with Khrushchev.

00:21:09.420 And the CIA was baffled by Khrushchev because they had never been able to get a spy into the Kremlin.

00:21:17.620 There was a mole in the CIA.

00:21:19.340 And to this day, they don't know who it was.

00:21:22.720 And every time they got a high-level spy in the Kremlin, he would immediately be killed

00:21:28.020 because the mole at Langley was telling him who it was.

00:21:31.560 So they really had no clue what Khrushchev was like or whether it was a monolithic,

00:21:38.860 whether the Kremlin was monolithic and everybody was thinking the same, which was kind of the assumption.

00:21:44.740 And so he came to visit you guys.

00:21:46.080 He never visited us, no, but he exchanged letters with my uncle secretly.

00:21:52.640 He didn't want the KGB or the GRU to find out he was writing my uncle.

00:21:59.840 And he and my uncle was, again, they both figured out that they were both at war with the military and intelligence apparatus with which they were surrounded.

00:22:13.020 Oh, I see what you're saying.

00:22:14.180 So it's like they didn't know they could trust.

00:22:15.380 Well, Khrushchev had been a war hero.

00:22:18.320 He had run the defense of Stalingrad under Stalin.

00:22:22.960 Stalin had actually tried to purge him at one point.

00:22:25.940 And the only reason he didn't was because Khrushchev was running the defense of Stalingrad.

00:22:34.040 And he couldn't reach him.

00:22:36.420 You know, when Hitler was trying to attack Stalingrad, which was one of the worst battles,

00:22:40.300 one of the most brutal battles in human history,

00:22:42.440 and one of the most expansive battles in terms of human life.

00:22:46.080 And Khrushchev had no desire to go to war.

00:22:49.600 His first meeting with my uncle was about a month after my uncle took office and they met at Geneva.

00:22:55.820 And my uncle went into that meeting with very high hopes that he could make peace

00:23:00.900 and they could begin dismantling the nuclear arsenal on both sides.

00:23:07.280 Khrushchev had met him very pugnaciously and had been bombastic

00:23:11.140 and had given him a lecture about imperialism and said that he was ready for war.

00:23:16.420 And he was really kind of in his face.

00:23:18.340 And my uncle went home from that meeting very depressed.

00:23:22.140 And then a year and a half later, there was a confrontation

00:23:26.300 when the Soviets were building the wall in Berlin because they were hemorrhaging people.

00:23:31.580 Everybody was trying to get out of East Germany and come on to the western side, which the U.S. controlled.

00:23:38.360 And Khrushchev built a wall there.

00:23:40.960 And his Joint Chiefs of Staff saw this as an opportunity.

00:23:44.620 They wanted to go to war with the Russians.

00:23:46.960 They believed that at that point in history, we had the nuclear advantage.

00:23:52.100 The Russians would soon catch up with us. 0.98

00:23:54.240 So the President's Chief of Staff wanted to go to war?

00:23:56.740 Well, his Joint Chiefs did, which was the military.

00:24:00.280 And the leaders at the CIA wanted to – they wanted – they saw war as inevitable

00:24:08.420 and that the sooner the better because the U.S. was at a big military advantage

00:24:13.920 in terms of its nuclear arsenal at that time.

00:24:16.320 And my uncle – and Khrushchev's Joint Chiefs were basically in the same position.

00:24:25.040 They were spoiling for a war.

00:24:27.460 My uncle, who was also a veteran and had seen his men die,

00:24:34.800 had three of his men on his PT boat killed when it was run over by a Japanese destroyer.

00:24:41.100 And then, you know, he had been lost at sea for 10 days hiding out on a little island

00:24:46.900 with the Japanese searching for him.

00:24:48.860 And he mistrusted the brass.

00:24:53.580 He had been lied to by Alan Dulles at the very beginning.

00:24:57.120 He knew Dulles had lied to him and fired Alan Dulles

00:25:00.180 and fired the top three guys at the CIA and no longer trusted his military.

00:25:05.840 And he realized that he was in the same boat with Khrushchev.

00:25:11.820 Oh, in 1962, Khrushchev built the wall.

00:25:16.220 And one of Jack's generals, Lucius Clay, mounted bulldozer plows on the front of tanks

00:25:24.780 and went to push down the wall.

00:25:27.180 And the Russians met him on the other side at Checkpoint Charlie 0.86

00:25:31.680 with their own squadron of jet tanks.

00:25:34.680 And my uncle sent a secret message to Khrushchev at that point saying,

00:25:39.000 you know, please withdraw your tanks.

00:25:41.480 And I promised that when you do that, we will withdraw within 20 minutes.

00:25:46.640 And he said, my back is against the wall.

00:25:48.640 I have no place to retreat.

00:25:51.520 And my uncle and father believed that there would be,

00:25:55.400 that they lived for a lot of their administration,

00:25:58.980 believing that the military may commit a coup against them.

00:26:02.920 That their own military.

00:26:04.180 Yes, that the U.S.

00:26:05.300 Because they couldn't trust the CIA.

00:26:06.960 Because they believe that, yeah, right, exactly.

00:26:10.560 Their military, you know, was Daniel Ellsberg,

00:26:14.780 who was working in the Pentagon at that time,

00:26:17.020 said that it was, you know, that the atmosphere in the Pentagon

00:26:21.620 was one of coup d'etat, of rebellion,

00:26:25.040 that they believe that the fact that my uncle had not gone into Cuba

00:26:29.560 and bombed Castro during the Bay of Pigs,

00:26:32.180 which was two months into his administration.

00:26:35.940 And then he did not bomb Khrushchev during that confrontation at Berlin.

00:26:44.300 And that was evidence that he was committing treason against the United States.

00:26:48.880 So they were really war happy at that time, huh?

00:26:51.420 Yes.

00:26:52.000 And your uncle came in and that's when your father was attorney general

00:26:55.400 and they were a little bit more on the peaceful side of things, huh?

00:26:58.360 Right.

00:26:58.820 Or the hopeful side of peace.

00:26:59.940 Well, they didn't want to go to war.

00:27:02.080 In fact, my uncle said when he was asked by Ben Bradley,

00:27:06.260 who was one of his best friends, who was the editor of the Washington Post,

00:27:09.560 what he wanted as his epithet on his tombstone,

00:27:14.800 he said he wanted he kept the peace.

00:27:18.240 And he often said that the president's principal job

00:27:22.080 was to keep the nation out of war.

00:27:24.880 Who was a better peacekeeper, you think, your uncle or your father,

00:27:27.780 when you look back even just like in there?

00:27:29.260 Well, they were working together at that time.

00:27:31.080 I mean, my uncle really did not want to go to war.

00:27:33.900 And my father ran against the Vietnam War.

00:27:37.640 And, you know.

00:27:38.940 Yeah, there's a lot of famous pictures of him and stuff when he was running.

00:27:41.880 Yeah.

00:27:43.700 Uh-oh.

00:27:46.480 You want to talk about the Pfizer vaccine?

00:27:48.780 Yeah.

00:27:50.180 We can talk about whatever.

00:27:52.000 So you would, if you, do you, because in your life,

00:27:56.560 this could be a time, I mean, where you would,

00:27:59.480 did you ever have presidential hopes where you would be running for president

00:28:01.980 even at this time in your life?

00:28:03.880 Did I think that?

00:28:04.980 Yeah.

00:28:07.440 And not as a judgment or anything.

00:28:08.780 I was just thinking about that yesterday.

00:28:10.060 I was thinking about, oh, well, when are people usually presidents?

00:28:12.360 And it's kind of around your age, kind of.

00:28:13.860 Well, I had opportunities to go into politics.

00:28:16.880 And I considered it many times during my life,

00:28:19.600 probably most directly during when Hillary,

00:28:24.160 when Hillary was appointed secretary of state.

00:28:30.160 She was at that point the senator,

00:28:32.520 the U.S. senator from New York,

00:28:34.020 and occupied the seat that my father had occupied.

00:28:36.380 I had come close to running for that seat in the previous election,

00:28:41.760 decided not to, and then Hillary came in and ran for me. 1.00

00:28:46.940 Do you wish you had run, or do you?

00:28:48.620 No, it wasn't right.

00:28:50.300 It wasn't the right time for me.

00:28:52.060 I had personal issues that I was dealing with and family.

00:28:56.380 I have, you know, I have six kids,

00:28:58.880 and I had a lot of, you know,

00:29:01.540 I needed to pay attention to what was going on there.

00:29:04.360 And I like my life, too, as an environmental advocate.

00:29:09.500 So I ended up not doing that.

00:29:11.900 And then when Hillary left two years later to go to the White House, 1.00

00:29:16.540 the governor of New York, David Patterson, called me,

00:29:19.980 and it was his job to appoint somebody to Phil Hersey.

00:29:23.140 And he offered me that job.

00:29:25.700 So I could have at that point chosen to be U.S. senator

00:29:29.580 without even running for it in my dad's seat.

00:29:32.800 But again, for personal reasons, I didn't do it at that time.

00:29:37.840 And, you know, I kind of live my life like you do one day at a time

00:29:42.860 and try to make, you know, keep doing the next right thing.

00:29:46.740 And at that point, it was clear to me that the decision for me

00:29:50.360 was to stay at home with my family

00:29:52.640 and continue to do my environmental advocacy.

00:29:54.800 And so I don't look back on that with any regret

00:29:58.600 or I'm very much at peace with where I am.

00:30:02.660 And were you going to have a space in Trump?

00:30:04.660 And Trump almost gave you a position or whenever he became president.

00:30:07.860 Wasn't there talk of that and then it kind of went away?

00:30:10.120 He just kind of went into the wind with it?

00:30:12.040 Well, what happened was he, in 20, over the Christmas vacation,

00:30:20.020 2016, he's elected, right?

00:30:23.180 And then obviously the election isn't in November.

00:30:26.160 So I was skiing in with my kids in Colorado over a Christmas vacation

00:30:34.160 and I got a call from his chief of staff saying

00:30:37.140 the president-elect wants to meet with him.

00:30:39.580 That's crazy.

00:30:40.980 And he wants to talk about vaccines.

00:30:43.780 So, you know, I've been an activist on trying to get safer vaccines

00:30:47.460 for a long time.

00:30:49.640 And, of course, I agreed to meet with him.

00:30:52.100 So I went to, immediately after getting home,

00:30:55.420 I went to Washington or I went to New York

00:30:57.980 and met with him in Trump Tower.

00:31:00.600 And during, it was about a two-hour meeting.

00:31:03.640 Had you ever met with him before?

00:31:05.160 I had sued him twice before successfully.

00:31:07.640 Okay, yeah.

00:31:09.140 And I had met him.

00:31:10.460 And, you know, the lawsuit was not something

00:31:15.200 that had hurt our relationship.

00:31:16.980 I stopped him from building two golf courses

00:31:19.420 in the New York City watershed.

00:31:22.540 And those lawsuits were about two or three years apart.

00:31:26.080 And he knew me and he knew my family.

00:31:29.900 When my sister ran for governor of Maryland,

00:31:33.020 he made a big contribution to that.

00:31:35.240 He contributed to my brother who was then in Congress.

00:31:39.660 And I had a cousin who was a congressman from Rhode Island.

00:31:43.880 And he made contributions to that.

00:31:46.260 He was a big Democratic donor at that point.

00:31:50.100 He called me.

00:31:51.580 He asked me to come in.

00:31:53.240 I had, as I said, about a two-hour meeting with him at that meeting.

00:31:56.560 And people were coming in and out of that meeting.

00:32:00.320 So Steve Bannon was there.

00:32:04.420 Renz Priebus, if you remember him.

00:32:07.660 Hope Hill was there.

00:32:09.380 Kellyanne Conway.

00:32:12.000 And Jared Kushner and both of the president's sons

00:32:16.980 at various times were in that meeting.

00:32:19.300 A lot of people.

00:32:19.580 But I had a lot of time alone with President Trump, too.

00:32:23.980 He said that he believed that vaccines were making people sick.

00:32:30.640 Specifically, he had three women friends who were mothers.

00:32:34.560 One who was in the building that day,

00:32:37.020 who had perfectly healthy kids,

00:32:39.060 who had gotten their wellness visits.

00:32:43.460 And they were around two years old.

00:32:46.640 And the children never were the same after those visits.

00:32:50.160 They all had been subsequently diagnosed with autism.

00:32:53.660 And he believed that it was linked to vaccines.

00:32:58.100 And, you know, because he had been open about that during the campaign,

00:33:02.560 hundreds of women had, as they did, 1.00

00:33:05.440 the same thing that happened to me that got me into this,

00:33:08.080 you know, this career-killing advocacy vaccine safety, obviously.

00:33:16.620 You know, people start coming up to you and saying,

00:33:19.600 you know, this happened to me.

00:33:21.800 This happened to my son.

00:33:23.080 I had a perfectly healthy child

00:33:24.620 who exceeded all his milestones.

00:33:28.180 And I took him in at 16 months.

00:33:30.500 And, you know, he was speaking.

00:33:32.100 He was toilet trained.

00:33:33.000 He had social interactions.

00:33:34.140 And I took him in.

00:33:35.440 And he had a shot or a series of shots.

00:33:40.040 Usually it could be up to nine. 0.93

00:33:42.300 Yeah, and now he's living in a freaking tent at the circus every afternoon. 0.90

00:33:44.940 Right. 0.68

00:33:44.960 And at night, he's like a fever, 103.

00:33:48.780 They have, I mean, the stories were eerily all identical.

00:33:53.300 They had a seizure.

00:33:54.820 And then over the next three months,

00:33:56.420 they lose all of their capacity to social interactions,

00:34:02.020 for eye contact.

00:34:02.840 Oh, yeah.

00:34:04.440 It's scary.

00:34:04.880 I mean, a lot of that stuff is super scary.

00:34:06.320 So you go into that office of Trump.

00:34:07.740 I go in there, and he tells me these stories.

00:34:10.860 And he says he wants to do something about it.

00:34:12.700 And does it seem serious when he's saying that?

00:34:14.640 Yeah, he was dead serious.

00:34:17.120 Okay.

00:34:17.320 And he asked, you know,

00:34:21.100 whether I would run a vaccine safety commission.

00:34:24.460 Then he asked what I would do.

00:34:25.800 And I said, listen,

00:34:28.300 I don't think you have to do a big political lift.

00:34:30.960 All I think you need to do is open up the databases

00:34:34.160 and allow independent scientists in there

00:34:36.520 to actually look at the science.

00:34:38.680 Because the HMOs have all the vaccine data down to batch

00:34:43.640 for every child in America.

00:34:45.460 And they also have the medical record.

00:34:48.280 So all you have to do, in fact, you can do now,

00:34:50.980 this AI can do machine counting,

00:34:53.260 and you can do cluster analysis.

00:34:56.320 And you can figure out very, very quickly

00:34:58.840 whether all of these epidemics,

00:35:01.480 not just of neurodevelopmental diseases,

00:35:04.400 like all the ADD, the ADHD, the speech light,

00:35:07.600 the Tourette syndrome, the narcolepsy,

00:35:11.260 the ASD and autism.

00:35:13.000 Oh, yeah.

00:35:13.520 The allergic diseases, food allergies, peanut allergies.

00:35:17.100 Oh, it's crazy when you think about asthma.

00:35:18.980 And then all the autoimmune diseases.

00:35:20.100 Adult asthma.

00:35:21.380 What?

00:35:21.840 Even adult asthma.

00:35:23.260 Yeah.

00:35:24.540 And they're all listed, by the way,

00:35:27.840 on the vaccine inserts as vaccine side effects.

00:35:31.260 Because the only way that you can sue,

00:35:33.320 you know, they passed this law in 1986

00:35:35.300 and made it illegal to sue a vaccine company

00:35:39.360 for injury.

00:35:41.560 You still can sue them if they know of an injury

00:35:44.240 that's caused by their vaccine

00:35:45.500 and they don't list it on the side effects.

00:35:47.320 So they list 400 injuries.

00:35:49.860 Falling down the stairs, everything.

00:35:51.700 Well, it's all the autoimmune diseases.

00:35:54.440 But they're covering all their bases that way.

00:35:56.400 Yeah, but they're not allowed to list it

00:35:58.820 unless there is significant evidence

00:36:02.680 that it's actually being caused by the vaccine.

00:36:05.000 FDA is not allowed to allow them to list it

00:36:10.400 unless FDA believes it's being caused by the vaccine.

00:36:13.580 But so then, so the vaccines,

00:36:15.180 they are approved by the FDA.

00:36:16.980 But is the FDA a compromised group, though?

00:36:19.420 Well, yeah.

00:36:20.260 It's actually, you know,

00:36:21.620 people say it's approved by FDA,

00:36:23.220 but actually it's not approved.

00:36:25.940 The FDA rubber stamp said

00:36:27.960 there's a panel within FDA

00:36:30.880 that's called VRBAC, V-R-B-A-C.

00:36:35.140 That is, and that group is staffed

00:36:42.480 or populated by industry insiders.

00:36:44.620 So they're not people who work by FDA

00:36:46.460 and they're the ones who decide on the licensing.

00:36:49.180 And the problem is that vaccines

00:36:52.200 are not safety tested, right?

00:36:54.000 That other medications are.

00:36:55.600 And there's an exemption

00:36:56.600 and it's an artifact of CDC's legacy

00:37:03.700 as the Public Health Service.

00:37:06.480 CDC used to be called the Public Health Service

00:37:08.740 and now it's a quasi-military agency.

00:37:10.800 That's why people at CDC have military ranks

00:37:13.220 like Surgeon General

00:37:14.340 and they wear uniforms.

00:37:17.780 And the vaccine program

00:37:19.300 was initially conceived

00:37:20.660 as a national security defense

00:37:22.820 against biological attacks on our country.

00:37:26.340 So the only reason that we had the CDC

00:37:28.860 was because we were thinking,

00:37:30.960 okay, well, if some country poisons us

00:37:34.260 or attacks us,

00:37:35.080 we want to be able to plan ahead?

00:37:36.520 Well, that vaccine program,

00:37:38.360 we had CDC was out there.

00:37:40.320 I mean, CDC has other functions.

00:37:43.900 But yeah, the vaccine program,

00:37:47.020 if the Russians attacked us

00:37:49.380 with anthrax or some other biological agent,

00:37:51.620 they wanted to be able to formulate a vaccine

00:37:53.720 very quickly,

00:37:55.560 deploy it to 200 million Americans

00:37:57.360 without regulatory impediments.

00:37:59.180 And so they said,

00:38:00.140 if we call it a medicine,

00:38:01.680 we're going to have to do double-blind placebo testing.

00:38:05.500 And that takes five years

00:38:06.640 because a lot of injuries from medications,

00:38:09.680 from all medications,

00:38:11.020 have long diagnostic horizons.

00:38:15.780 So they found a loophole

00:38:16.680 by naming it something different,

00:38:17.900 by calling it a vaccine.

00:38:18.540 Right, by calling it biologics.

00:38:20.020 I see.

00:38:20.480 And that's stayed in place?

00:38:22.560 Safety testing, yes.

00:38:23.840 And so that's why vaccines

00:38:25.320 do not have to be safety testing.

00:38:27.060 In fact, the COVID vaccines

00:38:29.660 that they're doing right now

00:38:31.000 have more safety testing

00:38:33.260 than any vaccine in history has ever had.

00:38:35.740 I mean, the one that Pfizer approved

00:38:37.520 or the one that Pfizer

00:38:39.240 is moving towards approval

00:38:40.640 that had just kind of released

00:38:42.100 some of the data on

00:38:43.320 was tested on 42,000 people.

00:38:47.420 And it was a, I believe,

00:38:48.940 although we don't know

00:38:49.820 because we haven't seen the data

00:38:50.860 that it may have used a true placebo

00:38:52.540 and that's very unusual.

00:38:55.060 And that's a, go on, sorry.

00:38:56.460 Well, the problem, you know,

00:38:58.620 the stock market rebounded

00:39:00.180 when Pfizer made these announcements.

00:39:01.940 Yeah, I saw this.

00:39:02.640 Pfizer and Biotech.

00:39:03.460 What was the other one?

00:39:03.980 Biotech?

00:39:04.340 Yeah, that's its partner.

00:39:05.360 And the problem with that vaccine is that,

00:39:10.860 and by the way,

00:39:12.260 if they come up with a vaccine

00:39:13.880 that does what people think vaccines ought to do,

00:39:16.600 which is you take one shot,

00:39:19.580 you're protected for life.

00:39:21.100 There's very, you know,

00:39:22.240 there's side effects,

00:39:24.000 are serious side effects,

00:39:25.720 are one in a million.

00:39:27.860 And, you know,

00:39:30.280 I'd be the first in line to take it.

00:39:32.140 Right.

00:39:32.400 I'm not an anti-vaccine at all.

00:39:33.820 You're not an anti-vaxxer,

00:39:34.760 and I want to say that too.

00:39:35.840 People say,

00:39:36.720 but you're a safe,

00:39:37.700 you're a safe vaxxer.

00:39:39.680 Is that a safe return?

00:39:40.180 Well, I want to make sure

00:39:40.980 we have robust science,

00:39:42.480 we have independent regulatory agencies,

00:39:45.140 and that the vaccine,

00:39:46.640 and that we're sure that the vaccine

00:39:48.220 is averting more problems than it's causing.

00:39:51.600 Right.

00:39:51.940 And that seems like pretty reasonable.

00:39:54.300 I also don't think

00:39:55.380 that the government,

00:39:57.360 no matter what,

00:39:58.260 ought to be able to mandate

00:39:59.360 that people take medications,

00:40:01.620 particularly medications that are risks,

00:40:03.260 and all vaccines are risks.

00:40:04.860 If they didn't have risks,

00:40:06.100 it wouldn't have given them immunity

00:40:07.420 from liability.

00:40:08.820 You know,

00:40:09.000 that's why...

00:40:10.940 Take me through that

00:40:12.040 when you say that

00:40:12.520 if they didn't have risks,

00:40:13.680 they wouldn't give them...

00:40:14.440 Well, the vaccine,

00:40:14.820 here's what happened,

00:40:16.000 is they,

00:40:16.980 you know,

00:40:17.240 when I was a kid,

00:40:17.960 I had three vaccines.

00:40:19.960 My kids got...

00:40:21.660 Today's kids get 72 shot doses

00:40:24.460 of 16 vaccines.

00:40:26.320 So they give them,

00:40:27.040 they load them up with the shots,

00:40:28.160 and in that,

00:40:28.620 there's 72 vaccines.

00:40:29.780 There's 72 doses.

00:40:31.660 So, you know,

00:40:32.220 if hepatitis B,

00:40:33.420 you get five doses of that.

00:40:35.020 But you get...

00:40:36.680 Altogether,

00:40:37.940 you're getting 72 doses.

00:40:40.660 And the change happened.

00:40:43.180 What happened is they added...

00:40:45.240 Sounds like a new Jay-Z album,

00:40:46.700 doesn't it, Nick?

00:40:47.020 72 doses or something?

00:40:49.740 And I'll tell you a story real quick

00:40:51.700 before you go, Bobby.

00:40:52.380 I'll tell you...

00:40:52.740 Before you go on,

00:40:53.400 I'll tell you this story.

00:40:54.820 So I grew up in a town

00:40:56.300 where, you know,

00:40:57.540 a lot of...

00:40:58.040 They had a primate testing facility

00:40:59.800 in our town.

00:41:00.500 One of the first ones 0.94

00:41:01.440 in the country

00:41:01.980 was Tulane University.

00:41:04.020 And which is one of the reasons,

00:41:05.400 too,

00:41:05.500 why I'm fascinated

00:41:06.160 by a lot of this stuff

00:41:06.980 that you're into

00:41:08.220 and that you speak out on

00:41:09.220 is because...

00:41:10.260 So when I was growing up,

00:41:11.160 they had this facility.

00:41:12.060 It's one of the first places

00:41:12.920 that they tested

00:41:13.640 the polio vaccine

00:41:14.800 because it was...

00:41:16.600 It was Tulane University.

00:41:17.920 They had a bunch of monkeys.

00:41:20.280 Yeah.

00:41:20.720 Is this some of the information,

00:41:21.780 Nick, here?

00:41:23.200 Yeah.

00:41:23.420 That's the cutter incident.

00:41:24.840 Well, so they had tested this...

00:41:26.960 They had a woman

00:41:27.780 in New Orleans

00:41:28.600 named Dr. Mary Sherman. 0.50

00:41:30.520 And she allegedly realized

00:41:33.480 that some of the vaccines

00:41:34.520 that they were making

00:41:35.480 were actually giving people polio.

00:41:38.500 Yeah.

00:41:38.960 And giving people...

00:41:40.480 And actually,

00:41:40.940 I think also causing

00:41:41.720 cervical cancer in women.

00:41:44.580 I've read this over the years

00:41:46.220 and it's just been

00:41:46.940 a lot of lore in our town.

00:41:47.860 Well, there was a woman 1.00

00:41:48.320 at NIH called Bernice Eddy.

00:41:50.520 Well, she got murdered, though.

00:41:51.440 Dr. Mary Sherman got murdered.

00:41:52.620 Oh, yeah, that's right.

00:41:53.120 That's Mary's monkey. 1.00

00:41:54.340 Yeah.

00:41:54.960 She got murdered in Louisiana

00:41:56.160 and there was some...

00:41:56.560 And that's associated

00:41:57.360 with the JFK assassination.

00:41:59.460 Yeah, there was some rumors

00:42:00.380 of that and everything

00:42:01.080 because Lee Harvey Oswald

00:42:02.260 lived not far from there.

00:42:03.920 Because he went to school

00:42:04.920 in our town where I grew up.

00:42:06.680 Yeah.

00:42:06.900 He went to middle school there.

00:42:08.120 But anyway,

00:42:10.400 so there was always this lore

00:42:11.960 that like...

00:42:13.040 Just that in our area.

00:42:15.140 You know, there was a lot of lore

00:42:15.960 about that kind of stuff.

00:42:16.880 But they ended up giving

00:42:17.960 that vaccine out.

00:42:19.040 This is where I'm going.

00:42:19.780 They gave...

00:42:20.300 They knew the vaccine

00:42:21.340 or there was rumor

00:42:22.240 that the vaccine was faulty

00:42:23.500 and they gave it out anyway.

00:42:25.620 Yeah.

00:42:26.360 There was a lot...

00:42:27.180 And that's the Cutter Laboratories,

00:42:28.940 I think,

00:42:29.660 that we're just looking at.

00:42:31.040 And they gave it in California.

00:42:32.340 I think it made 60,000 people.

00:42:35.800 Yeah, in 1965.

00:42:36.660 60,000.

00:42:37.860 He's Paul Offit.

00:42:39.000 He's saying 40,000 people

00:42:40.620 got polio from it

00:42:42.300 and 200 people got paralysis

00:42:45.160 and 10 were killed.

00:42:47.420 And this is Cutter Laboratory.

00:42:48.540 That was a laboratory, I guess,

00:42:49.980 that was like working

00:42:51.060 on the Salk and Sabin vaccines.

00:42:52.840 Right.

00:42:54.240 And, uh...

00:42:55.600 But yeah, so anyway,

00:42:56.560 that stuff was always

00:42:57.280 in my wheelhouse growing up.

00:42:58.720 Like, oh, and my mom

00:42:59.460 was big into that kind of stuff.

00:43:00.620 Like, are vaccines safe?

00:43:01.740 What's going on here?

00:43:02.680 You know?

00:43:02.940 Yeah.

00:43:03.260 It was part of the lore

00:43:03.920 in our area.

00:43:05.340 Hey, can you guys...

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00:46:37.500 So why are

00:46:39.760 why are

00:46:40.240 so who kind of

00:46:41.720 controls

00:46:42.260 who

00:46:42.700 why we get

00:46:44.300 vaccines?

00:46:45.360 Do does the government

00:46:46.240 control it

00:46:46.840 or do businesses

00:46:47.940 control it?

00:46:48.900 Do we have any

00:46:49.500 say?

00:46:50.240 Now the industry

00:46:51.660 which are four

00:46:53.420 companies

00:46:54.080 it's Merck

00:46:54.740 Sanofi

00:46:55.480 Pfizer

00:46:56.060 and Glaxo

00:46:56.860 really control

00:46:59.840 the whole process

00:47:00.620 and they control

00:47:01.540 these panels

00:47:02.320 that the panel

00:47:03.660 and FDA

00:47:04.220 Virpac

00:47:04.960 that licenses

00:47:06.440 the new vaccine

00:47:07.340 and then it goes

00:47:08.360 over to the CDC

00:47:09.140 and they mandate

00:47:10.280 them and both

00:47:11.600 of those panels

00:47:12.320 are completely

00:47:13.060 controlled.

00:47:13.720 They're staffed

00:47:14.360 by industry.

00:47:15.200 They're controlled

00:47:15.600 by industry

00:47:16.320 and Tony Fauci

00:47:18.860 is you know

00:47:20.760 is the kind

00:47:21.920 of the guy

00:47:22.360 who orchestrates

00:47:23.340 the you know

00:47:24.380 that whole process

00:47:25.600 but like I said

00:47:26.980 we now have

00:47:28.500 the most aggressive

00:47:29.200 vaccine schedule

00:47:30.320 in the in the

00:47:32.160 country and

00:47:32.960 with the with

00:47:33.820 the COVID vaccine

00:47:34.480 you mean?

00:47:34.940 Well no.

00:47:35.660 The COVID

00:47:36.080 the problem

00:47:36.860 with the COVID

00:47:37.520 vaccine

00:47:38.060 I'll tell you

00:47:38.740 here's the problem

00:47:40.060 is they

00:47:41.880 they have

00:47:42.700 all these

00:47:43.200 vaccines

00:47:43.820 and they

00:47:44.680 recognize

00:47:46.560 that it's

00:47:47.720 going to be

00:47:48.020 really hard

00:47:48.740 to get a vaccine

00:47:49.580 that does

00:47:50.000 what people

00:47:50.460 say they

00:47:50.960 think it's

00:47:51.920 going to do

00:47:52.360 so they

00:47:52.900 have been

00:47:53.420 reducing

00:47:53.940 the standards

00:47:54.860 to make it

00:47:55.740 so that they

00:47:56.200 can pass

00:47:56.940 a vaccine

00:47:57.440 no matter

00:47:57.900 what.

00:47:58.480 And what

00:47:58.620 they think

00:47:59.020 it's going

00:47:59.280 to do

00:47:59.500 is make

00:47:59.840 it so that

00:48:00.240 they don't

00:48:00.440 have to worry

00:48:00.760 about COVID

00:48:01.160 at all

00:48:01.520 right

00:48:02.040 right

00:48:02.940 if you

00:48:03.780 get a shot

00:48:04.460 you're protected 0.58

00:48:05.160 and you're

00:48:06.380 not going

00:48:06.780 to transmit

00:48:07.380 it

00:48:07.860 and particularly

00:48:10.120 we want to

00:48:10.980 make sure

00:48:11.420 that the

00:48:11.860 people who

00:48:13.120 are vulnerable

00:48:13.820 so people

00:48:14.620 with comorbidities

00:48:15.720 and fragile

00:48:16.580 elderly

00:48:17.080 it's going

00:48:19.080 to keep

00:48:19.360 them from

00:48:19.700 dying

00:48:20.140 but what

00:48:21.680 they did

00:48:22.260 is the

00:48:23.040 testing

00:48:23.760 protocols

00:48:24.500 that they're

00:48:24.940 using

00:48:25.360 do not

00:48:26.220 require them

00:48:27.620 to show

00:48:28.020 any of

00:48:28.400 those

00:48:28.620 things

00:48:29.020 the testing

00:48:30.780 and I'll

00:48:31.520 tell you

00:48:31.800 how it

00:48:32.580 works

00:48:33.020 they take

00:48:34.440 22,000

00:48:35.300 people

00:48:35.780 and they

00:48:37.160 give them

00:48:37.560 the Pfizer

00:48:38.040 vaccine

00:48:38.500 and they

00:48:39.120 took 22,000

00:48:40.120 people and

00:48:40.620 give them

00:48:40.880 a placebo

00:48:41.540 and then

00:48:43.180 they wait

00:48:43.700 and it's

00:48:44.660 double blind

00:48:45.340 so the way

00:48:46.620 it's supposed

00:48:47.020 to work

00:48:47.500 is neither

00:48:48.220 the patients

00:48:49.240 the subjects

00:48:50.340 test subject

00:48:51.280 volunteers

00:48:51.980 or the

00:48:53.080 researchers

00:48:54.380 know who

00:48:55.080 got what

00:48:55.620 okay

00:48:56.000 and then

00:48:57.540 you wait

00:48:58.460 till 100

00:48:59.000 people get

00:48:59.680 sick from

00:49:00.260 covid

00:49:00.780 that takes

00:49:02.440 a while

00:49:02.920 because you

00:49:03.880 know you

00:49:04.160 have 40,000

00:49:04.920 people and

00:49:05.540 it's kind

00:49:06.360 of hard

00:49:06.820 nowadays

00:49:07.500 to get

00:49:09.180 sick from

00:49:09.600 covid

00:49:09.960 you're not

00:49:10.580 going to

00:49:10.820 have you

00:49:11.440 know you're

00:49:12.000 not going

00:49:12.280 to have the

00:49:12.580 majority of

00:49:13.060 those people

00:49:13.500 exposed

00:49:13.960 so after

00:49:15.920 100 people

00:49:16.600 get sick

00:49:17.280 they stop

00:49:19.380 the study

00:49:19.900 and look

00:49:20.380 at it

00:49:20.740 and then

00:49:21.500 they say

00:49:22.080 how many

00:49:22.680 of those

00:49:23.020 people got

00:49:23.480 the vaccine

00:49:24.180 and how

00:49:25.060 many got

00:49:25.420 the placebo

00:49:25.900 okay

00:49:26.300 and if

00:49:27.700 50%

00:49:28.340 have got

00:49:29.020 the vaccine

00:49:29.600 and 50%

00:49:30.220 of the placebo

00:49:31.060 means there's

00:49:31.880 zero efficacy

00:49:32.640 and the vaccine

00:49:33.380 doesn't work

00:49:34.080 well in this

00:49:34.840 case with

00:49:35.380 Pfizer

00:49:35.800 everybody's

00:49:36.460 excited

00:49:36.960 because

00:49:38.980 90

00:49:40.020 they

00:49:40.880 stopped the

00:49:42.620 study when

00:49:43.000 95

00:49:43.440 people got

00:49:44.720 sick

00:49:45.080 and apparently

00:49:46.580 85

00:49:47.920 of those

00:49:49.060 people

00:49:49.520 were in

00:49:50.560 the placebo

00:49:51.500 group

00:49:51.920 which

00:49:53.580 means the

00:49:54.180 vaccine

00:49:54.640 appears to

00:49:55.640 be 90%

00:49:56.380 effective

00:49:56.900 here's the

00:49:57.680 problem

00:49:58.800 they the

00:49:59.700 way they

00:50:00.180 measure whether

00:50:00.740 you have

00:50:01.120 covid

00:50:01.520 is that you

00:50:03.400 have one

00:50:04.040 positive

00:50:04.600 pcr test

00:50:05.700 you have

00:50:07.160 one positive

00:50:07.980 pcr test

00:50:08.880 and you

00:50:09.340 have one

00:50:09.740 symptom

00:50:10.180 so that

00:50:10.640 could be

00:50:10.860 a cough

00:50:11.360 it could

00:50:11.760 be a

00:50:12.020 fever

00:50:12.300 it could

00:50:12.540 be a

00:50:12.820 chill

00:50:13.100 it could

00:50:13.460 be a

00:50:13.760 headache

00:50:14.140 and you

00:50:15.680 have

00:50:15.800 covid

00:50:16.120 so what

00:50:17.740 they're

00:50:17.980 testing the

00:50:18.660 vaccine

00:50:19.140 for

00:50:19.580 is not

00:50:20.680 what we

00:50:21.080 want to

00:50:21.440 know

00:50:21.680 does it

00:50:22.100 prevent you

00:50:22.620 from dying

00:50:23.380 right

00:50:24.100 does it

00:50:24.420 prevent you

00:50:24.860 from being

00:50:25.300 hospitalized

00:50:26.000 understood

00:50:26.780 and you

00:50:27.760 and we

00:50:28.380 don't we

00:50:28.880 will never

00:50:29.380 know from

00:50:30.060 because they

00:50:30.800 have they

00:50:32.080 have geared

00:50:32.680 back the

00:50:33.200 studies

00:50:33.800 to make

00:50:34.820 them as

00:50:35.440 peter

00:50:35.760 doshi who

00:50:36.320 is the

00:50:36.560 editor of

00:50:37.000 the british

00:50:37.340 medical

00:50:37.680 journal he

00:50:38.400 said this

00:50:38.900 in the

00:50:39.160 new york

00:50:39.440 times

00:50:39.760 editorial

00:50:40.240 he said

00:50:41.880 these

00:50:42.200 studies were

00:50:42.840 designed to

00:50:43.460 succeed so

00:50:44.340 that you

00:50:44.720 cannot fail

00:50:45.560 no matter how

00:50:46.740 bad the

00:50:47.120 vaccine is

00:50:48.000 it's gonna

00:50:48.740 pass

00:50:49.300 because we

00:50:50.020 want a

00:50:50.380 vaccine

00:50:50.800 right

00:50:51.440 everybody

00:50:52.060 wants a

00:50:52.480 vaccine so

00:50:52.960 we can

00:50:53.240 restart the

00:50:53.760 economy the

00:50:54.540 big problem

00:50:56.040 with this

00:50:56.500 vaccine there's

00:50:57.200 two problems

00:50:57.820 one is it

00:50:59.940 does not

00:51:00.500 prevent

00:51:00.820 transmission

00:51:01.520 that means

00:51:03.260 i can get

00:51:03.960 the vaccine

00:51:04.680 and then i

00:51:06.640 get exposed

00:51:07.180 to covid i

00:51:08.580 still give

00:51:09.140 covid to you

00:51:09.840 and everybody

00:51:10.260 on the

00:51:10.620 airplane you

00:51:11.420 just don't

00:51:11.880 experience it

00:51:12.600 i don't

00:51:13.300 experience it

00:51:14.060 but it

00:51:14.480 makes it

00:51:14.880 even more

00:51:15.340 dangerous

00:51:15.900 because normally

00:51:18.060 normally we

00:51:18.540 would know

00:51:18.900 you have

00:51:19.380 if i

00:51:20.280 yeah then

00:51:20.860 i'd stay

00:51:21.280 home and i

00:51:21.720 wouldn't infect

00:51:22.280 buddy but if

00:51:22.880 i'm feeling

00:51:23.340 like a million

00:51:23.940 bucks and i'm

00:51:25.420 still i become a

00:51:26.420 super spreader like

00:51:27.500 you know typhoid

00:51:28.260 mary oh yeah

00:51:29.360 you don't want

00:51:30.620 that and yet

00:51:31.340 that's what

00:51:31.960 apparently this

00:51:33.460 vaccine does

00:51:34.400 it stops you

00:51:35.280 from knowing it

00:51:36.060 but you continue

00:51:36.880 to transmit it

00:51:37.640 the other problem

00:51:38.540 is that

00:51:40.280 they're only

00:51:41.280 testing them

00:51:42.000 for a month

00:51:42.560 or two months

00:51:43.340 you're not

00:51:45.160 gonna see

00:51:45.700 bad side

00:51:46.560 effects

00:51:47.140 till maybe

00:51:48.760 a year

00:51:49.240 out

00:51:49.600 a lot

00:51:50.760 of these

00:51:51.520 you know

00:51:52.480 injuries

00:51:52.900 that you

00:51:53.340 get from

00:51:53.680 vaccines

00:51:54.260 have very

00:51:55.000 long incubation

00:51:56.200 periods

00:51:56.620 autoimmune

00:51:57.240 disease

00:51:57.580 like diabetes

00:51:58.680 rheumatoid

00:51:59.300 arthritis

00:51:59.760 grave

00:52:00.280 disease

00:52:00.660 crohn's

00:52:01.220 disease

00:52:01.720 ibs

00:52:03.620 you won't

00:52:05.320 see these

00:52:05.860 in a

00:52:06.440 food allergy

00:52:07.560 yeah it

00:52:08.080 takes a long

00:52:08.460 time for

00:52:08.740 those to

00:52:08.960 incubate

00:52:09.320 and what

00:52:11.120 pfizer's

00:52:11.840 doing

00:52:12.100 which is

00:52:12.580 very

00:52:12.880 dishonest

00:52:13.780 is as

00:52:15.440 soon

00:52:15.840 as it

00:52:16.580 finishes

00:52:17.000 the study

00:52:17.760 it

00:52:19.340 unblinds

00:52:20.620 it

00:52:20.820 so that

00:52:21.420 everybody

00:52:21.720 knows

00:52:22.160 you got

00:52:22.620 the vaccine

00:52:23.120 you got

00:52:23.520 the placebo

00:52:24.000 and then

00:52:25.600 it takes

00:52:25.980 all the

00:52:26.520 people

00:52:26.780 in the

00:52:27.280 placebo

00:52:27.620 group

00:52:28.020 and it

00:52:28.600 gives

00:52:28.820 them

00:52:28.980 the real

00:52:29.300 vaccine

00:52:29.840 so now

00:52:31.680 we

00:52:32.680 completely

00:52:33.440 are unable

00:52:34.420 to tell

00:52:34.940 whether

00:52:35.200 there's

00:52:35.480 long-term

00:52:35.980 injuries

00:52:36.180 it's like

00:52:36.420 covering

00:52:36.680 your future

00:52:37.140 tracks

00:52:37.600 yeah

00:52:37.980 exactly

00:52:38.880 and it's

00:52:39.860 a trick

00:52:40.180 that they've

00:52:40.600 used

00:52:40.900 in the

00:52:41.100 vaccine

00:52:41.500 injury

00:52:41.980 it's the

00:52:43.500 same thing

00:52:43.880 they did

00:52:44.160 with the

00:52:44.400 Gardasil

00:52:44.800 vaccine

00:52:45.480 it makes

00:52:47.080 it impossible

00:52:47.720 for anybody

00:52:48.460 to ever

00:52:48.880 know

00:52:49.200 whether the

00:52:49.620 reason

00:52:49.920 they're

00:52:50.160 getting

00:52:50.420 sick

00:52:50.800 was because

00:52:51.340 of that

00:52:51.680 vaccine

00:52:52.200 or whether

00:52:52.900 it was

00:52:53.180 just bad

00:52:53.660 luck

00:52:53.980 so why

00:52:54.960 is it

00:52:55.220 that we've

00:52:55.780 become

00:52:56.080 so

00:52:56.500 like

00:52:57.240 why

00:52:58.580 is it

00:52:59.420 our

00:52:59.580 government

00:52:59.960 that's

00:53:00.300 giving

00:53:00.780 so much

00:53:01.240 power

00:53:01.620 to these

00:53:02.280 to these

00:53:04.260 companies

00:53:04.700 and less

00:53:05.360 less

00:53:06.200 thoughtfulness

00:53:07.160 to the

00:53:07.680 safety

00:53:07.980 of humanity

00:53:08.720 like

00:53:09.020 who's

00:53:09.740 I mean

00:53:10.700 the problem

00:53:11.440 is the

00:53:12.040 entire

00:53:12.600 sort of

00:53:14.400 medical

00:53:14.940 cartel

00:53:15.900 is now

00:53:17.020 feeding at

00:53:18.600 the tit

00:53:19.080 of big

00:53:19.900 pharma

00:53:20.280 so the

00:53:21.660 universities

00:53:22.540 are getting

00:53:23.320 all their

00:53:23.700 money

00:53:24.000 from

00:53:24.360 sponsoring

00:53:26.020 clinical

00:53:26.520 trials

00:53:27.120 the

00:53:29.120 regulatory

00:53:30.240 agencies

00:53:31.080 have

00:53:31.500 become

00:53:31.940 are

00:53:32.340 subject

00:53:34.100 to

00:53:34.320 what

00:53:34.420 we

00:53:34.560 call

00:53:34.720 regulatory

00:53:35.160 capture

00:53:35.720 they've

00:53:36.480 become

00:53:36.740 sock

00:53:37.100 puppets

00:53:37.500 for the

00:53:37.780 industry

00:53:38.160 that they're

00:53:38.560 supposed

00:53:38.820 to regulate

00:53:39.400 and you

00:53:41.360 know

00:53:41.460 you see

00:53:41.860 that everywhere

00:53:42.340 I mean

00:53:42.580 I've been

00:53:42.900 suing

00:53:43.220 regulatory

00:53:43.640 agencies

00:53:44.180 for 40

00:53:44.760 years

00:53:45.060 EPA

00:53:45.520 and you

00:53:47.040 know

00:53:47.220 and

00:53:47.620 and the

00:53:49.060 state

00:53:49.320 agency

00:53:49.820 for example

00:53:50.720 famously

00:53:51.380 in Louisiana

00:53:52.420 is utterly

00:53:53.700 run by

00:53:54.240 the oil

00:53:54.680 industry

00:53:55.160 and is

00:53:55.500 corrupt

00:53:55.920 but

00:53:57.500 the

00:53:59.420 corruption

00:53:59.820 is

00:54:00.080 particularly

00:54:00.660 acute

00:54:01.320 in

00:54:02.440 HHS

00:54:03.520 and the

00:54:04.240 reason

00:54:04.600 for that

00:54:05.140 is that

00:54:05.900 the

00:54:06.820 agencies

00:54:07.500 are really

00:54:08.040 part of

00:54:08.540 the

00:54:08.680 industry

00:54:09.140 so

00:54:10.480 half

00:54:11.060 of

00:54:11.240 CDC's

00:54:11.940 budget

00:54:12.260 goes to

00:54:12.880 buying

00:54:13.260 and selling

00:54:13.760 vaccines

00:54:14.460 FDA

00:54:15.900 or

00:54:16.500 FDA

00:54:17.780 half of

00:54:18.580 its budget

00:54:19.080 comes from

00:54:19.800 the

00:54:19.960 pharmaceutical

00:54:20.380 companies

00:54:21.120 and with

00:54:22.460 NIH

00:54:22.880 which is

00:54:23.500 the other

00:54:23.880 big

00:54:24.180 agency

00:54:25.020 they are

00:54:26.100 collecting

00:54:26.700 tens of

00:54:27.820 millions

00:54:28.040 or hundreds

00:54:28.560 of millions

00:54:29.040 of dollars

00:54:29.760 on vaccine

00:54:30.720 patents

00:54:31.160 so they

00:54:31.740 work on

00:54:32.400 the vaccine

00:54:33.240 at the

00:54:33.740 outset

00:54:34.260 they

00:54:35.880 transfer

00:54:37.200 the patent

00:54:37.940 to

00:54:38.480 Gilead

00:54:39.420 or

00:54:39.880 Pfizer

00:54:40.380 the

00:54:41.480 Moderna

00:54:41.840 vaccine

00:54:42.320 was completely

00:54:42.980 developed

00:54:43.460 by

00:54:43.940 Tony

00:54:44.440 Fauci

00:54:44.940 he hands

00:54:46.460 it to

00:54:46.700 a private

00:54:47.180 group

00:54:47.640 they then

00:54:48.460 they put

00:54:49.100 two billion

00:54:49.640 dollars of

00:54:50.300 federal money

00:54:50.900 into

00:54:51.280 allowing

00:54:51.940 them

00:54:52.220 to

00:54:52.360 develop

00:54:52.740 it

00:54:53.040 and

00:54:54.140 then

00:54:54.340 Tony

00:54:54.620 Fauci's

00:54:55.180 agency

00:54:55.580 keeps

00:54:55.980 half

00:54:56.200 the

00:54:56.360 profits

00:54:56.640 from

00:54:56.860 the

00:54:56.980 vaccine

00:54:57.460 oh

00:54:58.580 it

00:54:58.860 would

00:54:59.040 be

00:54:59.240 like

00:54:59.600 you

00:55:00.000 know

00:55:00.120 I've

00:55:00.460 sued

00:55:00.720 EPA

00:55:01.300 many

00:55:01.780 times

00:55:02.200 for being

00:55:02.640 a

00:55:02.820 captured

00:55:03.140 agency

00:55:03.700 but

00:55:04.060 you

00:55:04.320 know

00:55:04.420 what

00:55:04.740 would

00:55:04.920 it

00:55:05.040 be

00:55:05.940 like

00:55:06.400 if

00:55:06.640 EPA

00:55:07.080 made

00:55:07.380 half

00:55:07.780 of

00:55:07.940 its

00:55:08.080 profits

00:55:08.680 selling

00:55:09.680 coal

00:55:10.100 it's

00:55:11.100 the

00:55:11.240 same

00:55:11.440 thing

00:55:11.740 these

00:55:12.080 agencies

00:55:12.660 are

00:55:13.120 not

00:55:13.500 independent

00:55:14.000 agencies

00:55:14.580 they're

00:55:14.980 completely

00:55:15.440 captured

00:55:15.980 and

00:55:16.500 you

00:55:17.860 have

00:55:18.300 and

00:55:18.680 you

00:55:19.040 know

00:55:19.220 the

00:55:19.440 all

00:55:20.540 of

00:55:20.700 the

00:55:20.840 other

00:55:21.120 institutions

00:55:21.820 of

00:55:22.140 government

00:55:22.560 that

00:55:23.080 should

00:55:24.040 stand

00:55:24.720 between

00:55:25.060 a greedy

00:55:25.500 corporation

00:55:26.200 and a

00:55:26.500 vulnerable

00:55:26.820 child

00:55:27.260 have

00:55:27.480 been

00:55:27.620 compromised

00:55:28.140 Congress

00:55:29.660 gets

00:55:30.600 more

00:55:30.960 money

00:55:31.440 lobbying

00:55:32.080 money

00:55:32.500 from

00:55:32.780 the

00:55:32.900 pharmaceutical

00:55:33.760 industry

00:55:34.440 than

00:55:34.660 any

00:55:34.880 other

00:55:35.100 industry

00:55:35.420 they

00:55:35.660 give

00:55:35.880 them

00:55:36.040 double

00:55:36.700 what

00:55:37.580 oil

00:55:37.980 and

00:55:38.160 gas

00:55:38.460 I'm

00:55:39.000 talking

00:55:39.220 about

00:55:39.440 lobbyists

00:55:39.980 there's

00:55:40.980 more

00:55:41.160 pharma

00:55:41.500 lobbyists

00:55:42.000 on

00:55:42.160 Capitol

00:55:42.520 Hill

00:55:42.780 than

00:55:42.960 there

00:55:43.080 are

00:55:43.260 congressmen

00:55:43.840 senators

00:55:44.260 and

00:55:44.580 Supreme

00:55:44.880 Court

00:55:45.120 justices

00:55:45.640 combined

00:55:46.160 regulatory

00:55:47.640 agencies

00:55:48.360 have been

00:55:48.700 captured

00:55:49.060 the

00:55:49.340 press

00:55:49.820 is

00:55:51.020 utterly

00:55:51.440 captured

00:55:51.940 and

00:55:52.280 that's

00:55:52.680 because

00:55:53.220 in

00:55:54.540 1997

00:55:55.180 we

00:55:55.740 passed

00:55:56.120 a law

00:55:56.600 in this

00:55:57.080 country

00:55:57.460 or FDA

00:55:58.100 you know

00:55:58.920 changed

00:55:59.400 the

00:55:59.580 regulation

00:56:00.000 to make

00:56:00.440 it legal

00:56:00.900 for the

00:56:01.220 first time

00:56:01.880 for

00:56:02.360 television

00:56:03.640 and radio

00:56:04.280 and

00:56:04.900 newspapers

00:56:05.720 to advertise

00:56:07.780 pharmaceutical

00:56:08.420 products

00:56:09.120 on the air

00:56:10.440 direct to

00:56:10.980 consumer

00:56:11.340 when was

00:56:11.860 that

00:56:12.020 what year

00:56:12.340 was that

00:56:12.740 that was

00:56:13.380 97

00:56:13.860 so

00:56:14.640 there's only

00:56:16.000 two countries

00:56:16.620 in the world

00:56:17.040 that allow

00:56:17.420 that everybody

00:56:17.900 agrees a terrible

00:56:18.920 thing to do

00:56:19.620 oh and it's

00:56:20.360 half of our

00:56:20.860 commercials

00:56:21.260 right as

00:56:21.700 well

00:56:21.880 Roger Ailes

00:56:23.020 who founded

00:56:23.540 Fox told me

00:56:24.440 that that

00:56:25.260 there are

00:56:25.720 22 commercials

00:56:26.860 on his

00:56:27.720 average

00:56:28.180 evening

00:56:28.720 news show

00:56:29.340 and 17

00:56:30.000 of those

00:56:30.460 are

00:56:30.620 pharmaceutical

00:56:31.140 oh yeah

00:56:32.260 I'm just

00:56:32.640 trying to

00:56:32.900 get through

00:56:33.160 half a

00:56:33.560 family guy

00:56:34.040 next thing

00:56:34.440 you know

00:56:34.600 I have

00:56:34.860 HIV

00:56:35.300 by the

00:56:35.680 end of

00:56:35.840 the

00:56:35.940 episode

00:56:36.140 you know

00:56:36.400 what I'm

00:56:36.520 saying

00:56:36.640 it's just

00:56:37.000 like

00:56:37.240 the fear

00:56:38.180 it's

00:56:38.560 and a lot

00:56:38.980 of it's

00:56:39.240 fear too

00:56:39.840 and they give

00:56:40.580 you pictures

00:56:41.020 of like oh

00:56:41.440 here's a

00:56:41.800 happy family

00:56:42.400 but you

00:56:42.720 might have

00:56:43.080 this

00:56:43.380 looming in

00:56:43.900 the distance

00:56:44.380 you know

00:56:44.820 yeah

00:56:45.180 you might

00:56:45.520 have scoliosis

00:56:46.400 said that he

00:56:47.080 wanted to do

00:56:47.660 one of those

00:56:48.160 ads

00:56:48.580 where

00:56:48.960 you know

00:56:50.480 they list all

00:56:51.880 these horrible

00:56:52.560 things from

00:56:53.420 the side

00:56:53.880 effects

00:56:54.220 and the

00:56:54.500 people are

00:56:54.860 walking around

00:56:55.380 happy and laughing

00:56:57.060 and playing

00:56:57.420 football

00:56:57.920 he said he

00:56:59.580 just wants to

00:57:00.100 do one of

00:57:00.560 those ads

00:57:01.100 where people

00:57:01.560 are actually

00:57:02.160 acting out

00:57:03.060 the side

00:57:04.020 effects

00:57:04.500 man he's

00:57:07.460 so good

00:57:08.020 they don't

00:57:08.640 have

00:57:08.820 SNL's not

00:57:09.680 the same

00:57:10.060 it was so

00:57:10.680 different when

00:57:11.100 they had guys

00:57:11.620 like him

00:57:12.200 Carvey

00:57:12.840 Spade

00:57:13.380 on there

00:57:13.860 I feel like

00:57:14.480 the level

00:57:14.860 of humor

00:57:15.280 was just

00:57:15.760 so different

00:57:16.460 it's just

00:57:18.320 gotten different

00:57:18.800 now on there

00:57:19.360 so you

00:57:21.020 have this

00:57:22.340 meeting with

00:57:22.720 Trump

00:57:23.020 just kind

00:57:23.860 of going

00:57:24.100 back to

00:57:24.520 that

00:57:24.780 you had

00:57:25.360 this meeting

00:57:25.640 with Trump

00:57:26.860 and you

00:57:28.220 leave out

00:57:28.580 of the

00:57:28.720 meeting

00:57:28.900 kind of

00:57:29.180 hopeful

00:57:29.420 about it

00:57:29.880 I said

00:57:30.840 to him

00:57:31.140 what do

00:57:31.420 you want

00:57:31.660 me to

00:57:31.860 do

00:57:32.020 and he

00:57:32.240 said

00:57:32.400 we want

00:57:32.760 you to

00:57:33.000 announce

00:57:33.360 it

00:57:33.880 so

00:57:34.420 Jared

00:57:35.420 Kushner

00:57:35.900 escorted

00:57:36.580 me to

00:57:37.660 the

00:57:38.040 press

00:57:38.560 scrum

00:57:39.420 how tall

00:57:40.120 is Jared

00:57:40.440 Kushner

00:57:40.720 you think

00:57:41.080 he's

00:57:41.900 he's

00:57:43.320 about

00:57:43.700 I think

00:57:44.740 he's

00:57:44.920 about

00:57:45.140 my

00:57:45.600 size

00:57:46.360 he's

00:57:46.600 about

00:57:46.780 6'1

00:57:47.400 and I

00:57:49.340 think

00:57:49.540 you're

00:57:49.800 like

00:57:50.100 6'1

00:57:50.620 too

00:57:50.880 I'm

00:57:51.320 about

00:57:51.460 a little

00:57:51.640 over

00:57:51.860 6

00:57:52.160 I'm

00:57:52.360 reaching

00:57:52.720 I'm

00:57:52.940 doing

00:57:53.120 yoga

00:57:53.420 too

00:57:53.640 I

00:57:53.720 actually

00:57:53.860 did

00:57:54.020 some

00:57:54.120 this

00:57:54.260 morning

00:57:54.540 yeah

00:57:55.200 well you

00:57:55.700 start shrinking

00:57:56.400 too

00:57:56.740 I told you

00:57:58.760 the next

00:57:59.220 20 years

00:58:00.060 of your life

00:58:00.500 are going to

00:58:00.780 be a nightmare

00:58:01.400 because

00:58:01.900 you battle

00:58:04.680 against it

00:58:05.200 a lot

00:58:05.420 I see you

00:58:05.900 at the gym

00:58:06.320 all the time

00:58:06.940 yeah

00:58:07.560 you used

00:58:08.640 to

00:58:08.840 yeah

00:58:09.240 until it

00:58:09.600 closed up

00:58:10.160 but I hear

00:58:10.760 about you

00:58:11.100 at the gym

00:58:11.420 sometimes

00:58:11.780 when it

00:58:12.260 opened back

00:58:12.660 up briefly

00:58:13.040 the trainer

00:58:13.460 that I

00:58:13.700 have

00:58:13.820 is like

00:58:14.020 oh

00:58:14.200 I saw

00:58:14.600 Bobby

00:58:15.220 Kennedy

00:58:15.520 in there

00:58:15.820 the other

00:58:16.120 day

00:58:16.400 yeah

00:58:16.820 I was

00:58:17.120 like

00:58:17.260 yeah

00:58:17.480 he's

00:58:17.740 in there

00:58:18.400 so you

00:58:20.800 left out

00:58:21.120 of there

00:58:21.300 was it

00:58:21.600 hopeful

00:58:21.780 oh yeah

00:58:22.200 so then

00:58:22.640 I went

00:58:23.000 down

00:58:23.200 and announced

00:58:23.760 it

00:58:24.040 talked to

00:58:25.300 the press

00:58:25.860 and then

00:58:26.680 a week

00:58:29.200 later

00:58:29.680 Pfizer

00:58:30.740 made a

00:58:31.760 million dollar

00:58:32.300 contribution

00:58:33.000 to

00:58:33.660 Trump's

00:58:35.000 inaugural

00:58:35.460 and then

00:58:37.580 Trump

00:58:38.040 comes in

00:58:38.780 and we

00:58:39.580 continue

00:58:40.020 to have

00:58:40.540 some

00:58:40.820 meetings

00:58:41.360 with Fauci

00:58:42.240 and you

00:58:43.100 know

00:58:43.180 that he

00:58:43.660 he had

00:58:44.800 set up

00:58:45.220 that we're

00:58:45.480 part of

00:58:45.860 this process

00:58:46.480 and we're

00:58:47.240 rolling

00:58:47.720 to get

00:58:48.320 this thing

00:58:48.720 started

00:58:49.220 and does

00:58:49.560 Fauci seem

00:58:50.040 legit

00:58:50.400 when you

00:58:50.640 talk to him

00:58:50.980 does he seem

00:58:51.300 like somebody

00:58:51.760 does he seem

00:58:52.300 like

00:58:52.520 oh he's

00:58:53.340 very very

00:58:53.800 charming

00:58:54.240 but he's

00:58:54.820 not

00:58:55.100 he's

00:58:55.720 listen

00:58:57.360 Fauci

00:58:57.920 I'm about

00:58:58.880 to publish

00:58:59.300 a book

00:58:59.660 on Fauci

00:59:00.220 yeah

00:59:00.940 and he's

00:59:01.700 you know

00:59:03.760 he's basically

00:59:04.560 he's been

00:59:05.160 there for 50

00:59:05.740 years

00:59:06.060 so he's like

00:59:06.600 J. Edgar

00:59:07.040 Hoover

00:59:07.400 and the only

00:59:08.020 way that you

00:59:08.540 lasted that

00:59:09.080 agency for

00:59:09.680 50 years

00:59:10.440 is by

00:59:11.220 carrying water

00:59:12.640 for the

00:59:12.920 pharmaceutical

00:59:13.400 industry

00:59:13.940 and under

00:59:14.960 his watch

00:59:15.760 he's supposed

00:59:16.240 to prevent

00:59:16.720 autoimmune

00:59:17.560 and allergic

00:59:18.140 diseases

00:59:18.700 under his

00:59:20.560 watch

00:59:21.060 chronic disease

00:59:21.860 has gone

00:59:22.540 from affecting

00:59:23.140 12% of the

00:59:24.020 American population

00:59:25.000 to 54%

00:59:26.120 we take more

00:59:27.020 pharmaceutical drugs

00:59:28.140 than anybody

00:59:28.700 in the world

00:59:29.400 we pay the highest

00:59:30.360 prices

00:59:30.860 so we

00:59:31.420 he's made

00:59:32.780 this country

00:59:33.300 pharmaceutical nation

00:59:34.420 yeah my brother's

00:59:34.980 allergic to

00:59:35.440 sesame seeds

00:59:36.320 but you know

00:59:37.540 exactly

00:59:38.940 and the way

00:59:39.600 that you

00:59:39.920 get allergies

00:59:40.720 is from

00:59:41.760 the aluminum

00:59:42.240 agent in

00:59:43.120 the vaccine

00:59:43.740 which is

00:59:44.380 meant is put

00:59:45.640 in that vaccine

00:59:46.480 to initiate

00:59:48.280 an allergic

00:59:48.840 response

00:59:49.560 and it

00:59:50.280 and so

00:59:50.960 if you

00:59:51.640 have

00:59:52.320 sesame seed

00:59:53.420 oil

00:59:53.820 as an

00:59:54.240 excipient

00:59:54.780 in the vaccine

00:59:55.440 or if

00:59:56.520 you're

00:59:56.840 if you're

00:59:57.420 eating sesame

00:59:58.180 seeds

00:59:58.680 when you

00:59:59.100 have that

00:59:59.440 aluminum

00:59:59.700 agent in

01:00:00.440 you

01:00:00.760 it can

01:00:02.100 promote

01:00:02.640 provoke

01:00:03.380 an allergic

01:00:04.120 a permanent

01:00:04.640 allergy

01:00:05.040 and if

01:00:06.600 you look

01:00:07.140 you don't

01:00:07.440 know anybody

01:00:08.040 who is my

01:00:09.320 age who has

01:00:10.220 food allergies

01:00:10.900 very very hard

01:00:11.760 to find

01:00:12.120 I think it's

01:00:12.620 one in

01:00:13.200 something like

01:00:14.020 1300

01:00:14.740 and today

01:00:16.040 you know

01:00:16.680 if you're born

01:00:17.420 after

01:00:17.920 half a football

01:00:18.880 team

01:00:19.260 yeah

01:00:19.700 after

01:00:20.180 1989

01:00:21.360 so any

01:00:22.240 anybody

01:00:22.940 who was born

01:00:24.160 after 89

01:00:25.120 I think it's

01:00:26.000 one in 12

01:00:26.700 now

01:00:27.120 autism

01:00:28.200 went from

01:00:29.140 one in

01:00:29.740 10,000

01:00:30.460 in my

01:00:30.880 generation

01:00:31.480 to one

01:00:32.160 in every

01:00:32.460 34 kids

01:00:33.480 and it's

01:00:34.040 the same

01:00:34.380 with all

01:00:34.760 these chronic

01:00:35.280 diseases

01:00:35.740 that are

01:00:36.180 all listed

01:00:36.880 as side

01:00:37.760 effects

01:00:38.200 so the proof

01:00:39.560 seems to be

01:00:40.060 right there

01:00:40.620 well that's

01:00:41.580 correlation

01:00:42.120 which isn't

01:00:42.740 actually proof

01:00:43.440 but if you

01:00:44.280 actually go

01:00:45.200 into the

01:00:45.960 scientific

01:00:46.360 literature

01:00:46.940 the proof

01:00:48.680 is there

01:00:49.220 but now

01:00:49.720 is that

01:00:50.180 science

01:00:50.560 so whenever

01:00:51.180 you talk

01:00:51.500 to Trump

01:00:51.800 you said

01:00:52.120 okay let's

01:00:52.560 open up

01:00:52.960 this

01:00:53.220 this database

01:00:54.120 right

01:00:54.540 this information

01:00:55.320 because you

01:00:55.740 said like

01:00:56.120 yeah

01:00:56.380 I said

01:00:56.880 let's

01:00:58.060 you know

01:00:58.480 I said

01:00:58.820 you don't

01:00:59.140 have to

01:00:59.420 do any

01:00:59.960 heavy lift

01:01:00.560 you don't

01:01:00.860 have to

01:01:01.060 go to

01:01:01.280 congress

01:01:01.700 you don't

01:01:03.200 have to

01:01:03.420 change

01:01:03.700 regulations

01:01:04.340 all you

01:01:05.140 have to

01:01:05.420 do

01:01:05.700 is open

01:01:06.400 up the

01:01:06.720 vaccine

01:01:07.120 safety

01:01:07.540 data link

01:01:08.220 which is

01:01:08.880 the

01:01:09.280 medical

01:01:10.020 records

01:01:10.760 for the

01:01:11.600 top

01:01:12.020 nine

01:01:13.000 HMOs 1.00

01:01:14.180 and allow

01:01:14.860 independent

01:01:15.640 scientists

01:01:16.180 to go in

01:01:16.880 there

01:01:17.240 and just

01:01:18.080 open it

01:01:18.680 up so

01:01:18.980 they can

01:01:19.320 start

01:01:19.580 publishing

01:01:20.060 and did

01:01:20.640 he do

01:01:20.920 it

01:01:21.240 and no

01:01:22.240 he didn't

01:01:23.060 it's still

01:01:23.520 locked

01:01:23.940 you know

01:01:24.460 locked down

01:01:25.100 Tony Fauci

01:01:25.920 make sure

01:01:26.840 nobody can

01:01:27.500 get in

01:01:27.900 there

01:01:28.140 and you

01:01:30.160 know

01:01:30.300 even when

01:01:31.160 congress

01:01:31.700 ordered

01:01:32.360 these two

01:01:33.060 scientists

01:01:33.580 called David

01:01:34.280 and Michael

01:01:34.640 Geier

01:01:35.060 ordered them

01:01:35.820 to go in

01:01:36.560 there

01:01:36.820 and they

01:01:37.320 they let

01:01:38.000 them into

01:01:38.740 the place

01:01:39.360 they gave

01:01:41.120 them one

01:01:41.460 study room

01:01:42.240 they would not

01:01:43.000 allow them

01:01:43.440 near a copy

01:01:44.180 machine

01:01:44.540 they allowed

01:01:45.480 them pencils

01:01:46.240 and they had

01:01:48.020 to write down

01:01:48.820 data

01:01:49.260 and they

01:01:50.540 they cranked

01:01:51.800 the heat

01:01:52.320 in the room

01:01:52.820 up to

01:01:53.380 105

01:01:54.080 and they

01:01:56.580 you know

01:01:57.180 stole their

01:01:57.820 hard drives

01:01:58.600 and they did

01:01:59.100 they did

01:02:00.100 not want

01:02:00.540 anybody in

01:02:01.340 that

01:02:01.680 right

01:02:02.420 and writing

01:02:03.200 is hard

01:02:03.420 you ever

01:02:03.640 try to

01:02:03.900 you've written

01:02:04.380 a letter

01:02:04.740 it's like

01:02:05.180 having a stroke

01:02:05.840 the whole time

01:02:06.420 it's like

01:02:06.860 I feel like 0.99

01:02:07.740 it's fucking 0.98

01:02:08.260 insane 1.00

01:02:08.840 have you written

01:02:10.220 something

01:02:10.560 I mean

01:02:10.900 it's absolutely 0.96

01:02:11.580 ridiculous 0.59

01:02:12.000 yeah I do 0.99

01:02:12.380 write

01:02:12.720 I mean

01:02:13.400 you might

01:02:13.740 still write

01:02:14.260 it's

01:02:15.400 yeah

01:02:15.760 it's getting

01:02:16.840 so anyway

01:02:18.860 so anyway

01:02:19.880 so big pharma

01:02:20.580 stepped in

01:02:21.080 and put some

01:02:21.500 money in

01:02:21.900 and then

01:02:22.860 Trump

01:02:23.620 appoints

01:02:25.340 pharma

01:02:25.980 Pfizer's

01:02:27.080 lobbyist

01:02:27.940 to run

01:02:29.640 FDA

01:02:30.120 Scott Gottlieb

01:02:32.620 and Eli Lilly's

01:02:33.960 lobbyist

01:02:34.780 Alex Azar

01:02:36.080 to run

01:02:36.580 HHS

01:02:37.200 and as soon

01:02:38.140 as they came

01:02:38.660 in they shut

01:02:39.240 us down

01:02:39.760 and was that

01:02:40.660 a big

01:02:40.920 were you bummed

01:02:41.420 about that

01:02:41.900 was I bummed

01:02:43.260 yeah I was

01:02:44.260 very bummed

01:02:44.920 I'd have been

01:02:45.280 bummed

01:02:45.560 yeah

01:02:46.340 of course

01:02:47.600 it was like

01:02:49.260 within our grasp

01:02:50.380 you know

01:02:50.960 and do you think

01:02:52.160 because I feel like

01:02:53.320 a lot of the thing

01:02:54.120 with Trump

01:02:54.520 was that he

01:02:55.140 a lot of people

01:02:56.380 felt like

01:02:57.260 and feel like

01:02:58.060 that he was

01:02:59.380 trying to

01:03:00.640 speak for like

01:03:02.320 the just everyday

01:03:03.140 working guy

01:03:03.920 do you feel like

01:03:04.620 he was like that

01:03:05.480 I don't know

01:03:09.140 I don't know

01:03:10.520 I mean look

01:03:11.260 he

01:03:12.780 he's also

01:03:13.560 I mean he also

01:03:14.340 is like

01:03:14.680 you know

01:03:15.100 has this mystique

01:03:16.720 of being this

01:03:17.140 businessman

01:03:17.540 that hides

01:03:18.140 behind lawyers

01:03:18.920 and you know

01:03:19.460 like

01:03:19.740 just like every

01:03:21.160 other businessman

01:03:21.820 kind of it seems

01:03:22.540 like a lot of times

01:03:23.480 yeah

01:03:24.240 you know what

01:03:24.840 I

01:03:25.320 I don't like

01:03:26.980 bullies

01:03:27.700 and I didn't like

01:03:29.000 that part of his

01:03:29.880 character

01:03:30.400 I just

01:03:30.920 I don't care

01:03:32.620 I'm nonpartisan

01:03:33.780 if it's a democrat

01:03:36.000 or if it's a republican

01:03:37.280 and they do something

01:03:38.400 wrong

01:03:38.800 I'm gonna call

01:03:39.620 them on it

01:03:40.160 and you know

01:03:41.140 I don't think

01:03:41.880 I don't think

01:03:43.180 bullying people

01:03:44.040 is

01:03:44.580 is a good

01:03:47.260 thing

01:03:48.400 and I think

01:03:48.960 you know

01:03:49.260 one of the

01:03:49.960 gifts that

01:03:50.940 Donald Trump

01:03:51.760 had was

01:03:52.620 are really

01:03:53.480 you know

01:03:54.040 gifts of

01:03:55.040 of demagoguery

01:03:57.840 that he was able

01:03:58.920 to connect

01:03:59.880 to a lot

01:04:01.940 of the

01:04:02.340 kind of

01:04:02.720 darker sides

01:04:03.600 of people

01:04:04.140 to bigotry

01:04:05.340 and anger

01:04:05.960 and I'm not

01:04:07.200 you know

01:04:07.720 and I

01:04:08.360 I

01:04:08.920 I watched

01:04:09.960 that happen

01:04:10.740 that's not

01:04:11.280 imaginary

01:04:11.860 and a lot

01:04:13.340 of people

01:04:13.740 think that

01:04:14.220 that's okay

01:04:14.960 do you think

01:04:16.800 the media

01:04:17.280 had a large

01:04:17.880 part in that

01:04:18.320 I mean

01:04:18.480 I'm not

01:04:18.800 I think

01:04:19.280 the media

01:04:19.800 was reprehensible

01:04:20.920 on both sides

01:04:22.120 and I think

01:04:22.720 the coverage

01:04:23.580 of Trump

01:04:24.280 by for example

01:04:25.440 CNN

01:04:25.960 was sickening 0.69

01:04:28.860 because

01:04:29.420 I

01:04:29.920 you know

01:04:30.640 I saw Trump

01:04:31.700 do a lot

01:04:32.140 of things

01:04:32.520 that should

01:04:33.180 be criticized

01:04:33.740 and you know

01:04:35.640 that we

01:04:36.520 should be

01:04:36.940 horrified by

01:04:37.900 the media

01:04:39.720 coverage

01:04:40.120 was extremely

01:04:41.020 dishonest

01:04:41.800 and they

01:04:42.420 weren't

01:04:42.920 and the media

01:04:43.500 coverage

01:04:43.920 of COVID

01:04:44.420 has been

01:04:45.460 you know

01:04:46.120 absolutely

01:04:46.860 dishonest

01:04:47.660 and that

01:04:48.060 to me

01:04:48.560 is what

01:04:48.960 I object

01:04:49.620 you know

01:04:51.380 what I object

01:04:52.520 about the

01:04:53.080 for example

01:04:53.860 the mandates

01:04:54.620 the masks

01:04:55.440 the lockdowns

01:04:56.380 etc

01:04:56.660 I read

01:04:58.480 the science

01:04:59.060 and if you

01:04:59.720 go to

01:05:00.120 CHD's

01:05:00.800 website

01:05:01.140 children's

01:05:01.640 health

01:05:01.840 defense

01:05:02.240 you can

01:05:03.940 see

01:05:04.300 the

01:05:04.660 mass

01:05:04.980 studies

01:05:05.340 that

01:05:05.580 we've

01:05:05.800 been

01:05:05.920 able

01:05:06.160 to

01:05:06.980 to

01:05:07.380 accumulate

01:05:09.420 and we

01:05:10.280 take

01:05:10.580 the ones

01:05:11.060 that say

01:05:11.420 the

01:05:11.540 matters

01:05:11.800 work

01:05:12.220 which

01:05:12.480 are

01:05:12.600 very

01:05:12.840 few

01:05:13.200 and

01:05:13.440 they're

01:05:13.600 mainly

01:05:13.900 CDC

01:05:14.440 sponsored

01:05:15.060 and the

01:05:16.880 many

01:05:17.180 many

01:05:17.420 many

01:05:17.720 that say

01:05:18.260 that they

01:05:18.600 don't

01:05:18.860 work

01:05:19.180 that they

01:05:19.500 make

01:05:19.700 you

01:05:19.880 sick 0.98

01:05:20.140 that

01:05:20.340 there's

01:05:20.580 problems

01:05:20.900 with it

01:05:21.180 but

01:05:21.380 I don't

01:05:22.100 take a

01:05:22.400 position

01:05:22.760 on that

01:05:23.320 and CHD

01:05:24.100 doesn't

01:05:24.400 take a

01:05:24.660 position

01:05:25.000 what I

01:05:25.780 the thing

01:05:26.640 that offends

01:05:27.180 me

01:05:27.540 is that

01:05:29.120 you're not

01:05:29.420 allowed to

01:05:29.780 debate those

01:05:30.420 things

01:05:30.820 why don't

01:05:32.980 we see

01:05:33.380 somebody

01:05:33.940 on CNN

01:05:35.000 who says

01:05:37.260 I don't

01:05:37.840 believe

01:05:38.140 mass work

01:05:38.760 and here's

01:05:39.160 why

01:05:39.520 and somebody

01:05:40.800 else who

01:05:41.320 says

01:05:41.860 they do

01:05:42.800 work

01:05:43.280 and we

01:05:43.840 should

01:05:44.240 mandate

01:05:44.840 them or

01:05:45.240 have them

01:05:45.620 and let's

01:05:46.060 hear the

01:05:46.460 argument

01:05:46.900 on the

01:05:49.340 lockdowns

01:05:49.960 why are

01:05:50.520 there no

01:05:50.840 economists

01:05:51.320 on CNN

01:05:52.240 who says

01:05:53.100 yeah you

01:05:53.860 may save

01:05:54.640 200,000

01:05:55.940 people

01:05:56.460 who are

01:05:57.180 going to

01:05:57.380 die from

01:05:57.720 COVID

01:05:58.080 maybe

01:05:58.640 but you're

01:06:00.440 going to 0.98

01:06:00.600 kill 400,000 0.99

01:06:01.940 from disrupting 0.57

01:06:03.480 the supply

01:06:04.020 chains

01:06:04.320 from

01:06:04.500 medication

01:06:05.000 from

01:06:06.460 deferred

01:06:06.980 medical

01:06:07.300 treatment

01:06:07.780 from

01:06:08.320 you know

01:06:08.720 bankruptcies

01:06:09.540 and here's

01:06:10.160 the cause

01:06:10.700 we can all

01:06:12.240 see it

01:06:12.780 normally

01:06:13.720 I've sued

01:06:14.600 government

01:06:15.140 agencies

01:06:15.720 for 40

01:06:16.780 years

01:06:17.200 for not

01:06:18.920 going through

01:06:19.440 due process

01:06:20.180 so a

01:06:21.400 government

01:06:21.660 agency

01:06:22.100 tries to

01:06:22.660 give a

01:06:22.980 permit

01:06:23.320 to an

01:06:23.700 oil

01:06:23.880 company

01:06:24.260 to dump

01:06:24.700 in the

01:06:24.960 Hudson

01:06:25.180 River

01:06:25.520 and I

01:06:27.020 say no

01:06:27.560 you can't

01:06:28.240 do that

01:06:28.900 unless you

01:06:30.380 go through

01:06:30.780 notice and

01:06:31.360 comment

01:06:31.660 rulemaking

01:06:32.260 you have

01:06:33.120 to post

01:06:33.580 the rule

01:06:34.160 publicly

01:06:35.360 so everybody

01:06:36.420 can read

01:06:36.940 it

01:06:37.060 you have

01:06:37.460 to do

01:06:37.880 an

01:06:38.020 environmental

01:06:38.420 impact

01:06:38.920 or regulatory

01:06:39.520 impact

01:06:40.080 statement

01:06:40.560 that tells

01:06:42.040 the justification

01:06:42.700 for the

01:06:43.280 rules

01:06:43.520 all the

01:06:44.100 scientific

01:06:44.520 studies

01:06:45.000 that you're

01:06:45.580 relying on

01:06:46.480 that justify

01:06:47.100 that rule

01:06:47.620 and you have

01:06:49.220 to have a

01:06:49.560 public hearing

01:06:50.200 you have

01:06:50.640 to have a

01:06:51.080 comment

01:06:51.340 period

01:06:51.720 where the

01:06:52.260 public

01:06:52.540 can come

01:06:52.940 out and

01:06:53.400 comment on

01:06:54.080 it and

01:06:54.400 say wait

01:06:54.920 a minute

01:06:55.220 if you

01:06:55.800 do that

01:06:56.140 you're

01:06:56.380 going to

01:06:56.520 close down

01:06:56.960 my

01:06:57.160 restaurant

01:06:57.600 and every

01:06:58.040 restaurant

01:06:58.420 in my

01:06:58.820 town

01:06:59.140 and here's

01:06:59.660 a different

01:06:59.980 way to

01:07:00.340 do it

01:07:00.780 where you

01:07:01.140 can tweak

01:07:01.560 the rule

01:07:02.080 again what

01:07:03.640 you want

01:07:04.280 without destroying

01:07:05.480 all these

01:07:05.840 businesses

01:07:06.300 but there's a

01:07:07.320 debate

01:07:07.700 and there's

01:07:08.560 back and

01:07:09.000 forth

01:07:09.260 and you

01:07:10.740 have

01:07:11.280 an

01:07:12.000 administrative

01:07:12.400 hearing

01:07:12.960 which is

01:07:13.340 just like

01:07:13.700 a trial

01:07:14.200 where

01:07:14.700 they bring

01:07:16.200 all of

01:07:16.660 their

01:07:16.840 experts

01:07:17.240 in

01:07:17.620 to say

01:07:18.660 you know

01:07:19.400 here's why

01:07:20.000 we need

01:07:20.420 this rule

01:07:20.980 and we

01:07:21.620 the people

01:07:22.160 who oppose

01:07:22.800 it

01:07:23.020 can bring

01:07:23.540 their own

01:07:23.980 experts

01:07:24.440 in

01:07:24.840 and then

01:07:26.140 they do

01:07:26.440 direct

01:07:26.760 examination

01:07:27.420 and cross

01:07:27.940 examination

01:07:28.380 and there's

01:07:29.180 a recommendation

01:07:29.660 and the rule

01:07:30.300 gets passed

01:07:30.760 none of that

01:07:31.360 happened

01:07:31.740 we were

01:07:32.420 just told

01:07:33.220 you do

01:07:34.880 what you're

01:07:35.240 told

01:07:35.560 mass work

01:07:36.720 anybody who

01:07:38.080 says they

01:07:38.480 don't is

01:07:38.900 unpatriotic

01:07:39.960 is evil

01:07:41.920 is trying to

01:07:43.040 pass disease

01:07:43.760 is inconsiderate

01:07:44.960 and selfish 0.86

01:07:45.460 and they 0.87

01:07:47.260 need to

01:07:47.580 be shut 0.97

01:07:48.100 up 1.00

01:07:48.340 and shut 0.99

01:07:49.020 down

01:07:49.480 and not

01:07:50.040 listen

01:07:50.340 to

01:07:50.580 and that's

01:07:51.160 not

01:07:51.340 American

01:07:51.860 it's

01:07:52.420 not due

01:07:52.900 process

01:07:53.320 it's not

01:07:53.940 the way

01:07:54.200 we work

01:07:54.580 in this

01:07:54.880 country

01:07:55.220 and what

01:07:55.780 I think

01:07:56.300 people are

01:07:56.820 really

01:07:57.220 uncomfortable

01:07:57.800 with

01:07:58.300 I don't

01:07:59.720 think

01:08:00.000 you know

01:08:00.460 some of

01:08:00.860 these people

01:08:01.300 are selfish

01:08:01.920 but I think

01:08:02.600 the vast

01:08:03.080 majority

01:08:03.480 of people

01:08:04.000 who are

01:08:04.340 out there

01:08:05.100 with questions

01:08:07.040 who are

01:08:07.380 protesting

01:08:08.140 are protesting

01:08:09.160 because they're

01:08:09.900 very uneasy

01:08:10.940 about this

01:08:11.820 kind of

01:08:12.180 totalitarian

01:08:13.040 authoritarian

01:08:13.720 control

01:08:14.660 where all

01:08:16.460 of the

01:08:17.000 you know

01:08:17.620 the indicia

01:08:18.740 of democracy

01:08:19.640 and the

01:08:20.840 guarantees

01:08:21.340 of civil

01:08:22.060 rights

01:08:22.560 are being

01:08:23.160 abandoned

01:08:23.640 it's being

01:08:24.160 well I mean

01:08:24.840 it's it's

01:08:25.640 it's funny

01:08:25.980 Bob you

01:08:26.300 strike me

01:08:26.840 in a 0.98

01:08:27.260 it's it's

01:08:28.040 like there's

01:08:28.480 jet liners

01:08:29.240 just going

01:08:29.880 up and

01:08:30.420 down a

01:08:30.920 jetway

01:08:31.600 and you're

01:08:32.060 you remind

01:08:32.500 me of like

01:08:32.880 someone who's

01:08:33.660 like but

01:08:34.040 what about

01:08:34.520 due process

01:08:35.260 you're like

01:08:35.620 standing there

01:08:36.300 waving

01:08:37.040 and that's

01:08:37.760 what a lot

01:08:38.180 of people

01:08:38.560 like I think

01:08:39.240 you know

01:08:40.420 you grow up

01:08:42.140 you hear like

01:08:42.640 these are the

01:08:43.100 rules of how

01:08:43.920 we play

01:08:44.520 in this

01:08:45.460 society

01:08:46.220 and it's

01:08:47.280 like there's

01:08:47.720 no one

01:08:48.280 yeah a lot

01:08:49.160 of times it

01:08:49.560 feels like no

01:08:50.200 one is following

01:08:51.000 them anymore

01:08:51.660 so I think

01:08:52.920 when you get

01:08:53.340 anybody like

01:08:54.400 Trump who

01:08:55.000 says who I

01:08:56.020 think at least

01:08:56.640 like is as a

01:08:57.620 stern voice

01:08:58.160 this is why I

01:08:58.620 think one of the

01:08:59.420 reasons a lot of

01:08:59.880 people voted for

01:09:00.380 Trump because at

01:09:01.220 least he was like a

01:09:02.040 stern voice that

01:09:02.740 was different than

01:09:04.560 the status quo I

01:09:06.260 think a lot of

01:09:06.860 people wanted I

01:09:08.460 would have elected 1.00

01:09:09.180 a fucking 1.00

01:09:10.020 cookie I 1.00

01:09:11.300 would have voted

01:09:11.740 a chocolate chip

01:09:12.660 cookie in the

01:09:13.360 office I was so

01:09:14.120 I'm so tired of

01:09:15.200 politics in my

01:09:15.900 life like I

01:09:16.800 just felt I just

01:09:17.620 felt like it

01:09:18.200 started to feel

01:09:19.000 like and I'm

01:09:19.500 just an everyday

01:09:20.020 guy like I

01:09:21.140 don't know that

01:09:21.700 much but it

01:09:22.720 started to feel

01:09:23.120 like everything's

01:09:23.760 been bought and

01:09:24.360 sold like there

01:09:25.900 you know there's

01:09:27.000 no one's standing

01:09:28.040 up for like just

01:09:28.860 the guy who goes

01:09:30.220 to work and works

01:09:31.100 hard it doesn't

01:09:31.660 mean anything

01:09:32.460 you know there's

01:09:34.240 no borders people 0.89

01:09:35.260 that are going to

01:09:35.800 fight for the

01:09:36.800 military doesn't

01:09:37.500 mean everything

01:09:38.120 started to feel

01:09:38.660 like it didn't

01:09:39.100 mean anything

01:09:39.840 you know I

01:09:42.040 don't know I'm

01:09:42.300 kind of rambling

01:09:42.800 here a little

01:09:43.200 bit I mean I

01:09:44.200 agree I agree

01:09:45.640 but it started to

01:09:46.520 feel like I

01:09:48.380 don't know

01:09:48.820 and it's not

01:09:51.180 only that the

01:09:51.880 government is no

01:09:53.560 longer like

01:09:54.620 working for us

01:09:56.080 and you know

01:09:57.020 going through the

01:09:57.760 process of due

01:09:58.860 process and

01:09:59.800 allowing debate

01:10:00.500 but they're also

01:10:01.580 have this

01:10:03.560 extraordinary

01:10:04.060 capacity now to

01:10:05.340 censor the

01:10:05.820 press yeah my

01:10:07.500 Instagram has

01:10:08.340 been shut down

01:10:09.140 and it's not

01:10:10.340 because I said

01:10:11.020 anything that was

01:10:11.800 untrue it's

01:10:13.080 because I said

01:10:13.760 things that

01:10:14.300 challenge

01:10:14.920 pharmaceutical

01:10:15.580 products I

01:10:17.280 criticize

01:10:17.620 pharmaceutical

01:10:18.280 products and

01:10:19.000 challenge government

01:10:19.740 policies and say

01:10:20.700 wait a minute

01:10:21.840 that policy does

01:10:23.120 not make sense

01:10:23.840 to me for this

01:10:24.540 reason yeah

01:10:25.400 they you can't

01:10:26.920 not show me a

01:10:27.780 single time on

01:10:28.920 my Instagram that

01:10:30.020 I put something

01:10:31.060 up there that

01:10:31.620 wasn't true yeah

01:10:32.580 and yet it's been

01:10:34.060 frozen and you

01:10:35.300 know you're just

01:10:35.700 asking people to

01:10:36.400 hey look let's

01:10:37.300 can we look at

01:10:38.140 this like no

01:10:39.060 there's no it's

01:10:41.520 definitely like that

01:10:42.280 especially like

01:10:42.920 working in Hollywood

01:10:43.780 and that sort of

01:10:44.840 thing where it's

01:10:45.240 like if you even

01:10:45.720 raise your hand

01:10:46.440 and say but what

01:10:47.400 about this like

01:10:48.980 what about these

01:10:50.340 people like why

01:10:51.640 is racism always

01:10:53.080 blamed on white

01:10:53.860 people if you even 0.80

01:10:54.320 try to bring up a

01:10:55.000 conversation I'm not

01:10:56.000 trying to get into

01:10:56.600 racism or anything

01:10:57.100 but about anything

01:10:58.200 but what about

01:10:58.960 this like what

01:10:59.840 about masks

01:11:00.420 everybody just

01:11:01.220 immediately just you

01:11:02.620 can't even ask a

01:11:04.280 question the minute

01:11:05.320 the minute you ask

01:11:06.000 a question you

01:11:07.560 are silenced it

01:11:08.880 feels like and

01:11:10.560 yeah it just starts

01:11:11.220 to feel kind of

01:11:11.820 scary one other

01:11:12.580 thing about masks

01:11:13.620 is that if you

01:11:15.980 look at the

01:11:16.740 history of

01:11:17.200 totalitarian regimes

01:11:18.760 they what they

01:11:20.560 always do whether

01:11:21.980 you know it was

01:11:23.140 on a Franco or

01:11:24.820 or Mussolini or

01:11:27.000 Hitler or Stalin or 0.57

01:11:28.420 any you know or

01:11:30.040 Papa Doc they all

01:11:33.040 do the same thing

01:11:33.960 which is to try to

01:11:34.920 crush culture and

01:11:37.060 to crush any

01:11:38.860 evidence of

01:11:39.420 self-expression so

01:11:41.060 when Hitler and 0.92

01:11:43.240 Stalin came in they 0.97

01:11:44.040 killed all the 0.56

01:11:44.660 artists who did 0.98

01:11:46.360 not agree with a

01:11:47.200 certain paradigm

01:11:47.960 with a paradigm

01:11:48.540 that was consistent

01:11:49.360 with their ideology 0.98

01:11:50.400 they killed the 0.96

01:11:52.300 poets they killed 0.65

01:11:53.220 the intellectuals 0.94

01:11:54.280 they killed anybody

01:11:55.180 who was you know

01:11:56.740 the comedians

01:11:57.920 they have to get

01:11:59.840 rid of them

01:12:00.460 because that is

01:12:01.600 self-expression

01:12:02.320 and what is

01:12:04.420 the ultimate

01:12:05.300 vector for

01:12:07.540 self-expression

01:12:08.260 it's your facial

01:12:09.000 expressions

01:12:09.720 yeah

01:12:10.080 and they you

01:12:11.800 know a mask

01:12:12.740 putting on a

01:12:15.240 mask and not

01:12:16.660 allowing human

01:12:17.460 beings to

01:12:18.520 communicate to

01:12:19.840 each other and

01:12:20.700 you know we have

01:12:21.220 hundreds of muscles

01:12:22.400 in our face and

01:12:24.440 they were evolved

01:12:25.260 to communicate in

01:12:26.480 subtle and beautiful

01:12:27.420 ways to people with

01:12:28.740 very you know

01:12:30.040 nuanced

01:12:31.600 changes in

01:12:33.320 expression

01:12:33.900 and you put that

01:12:35.260 on people and

01:12:35.860 that's why you

01:12:36.600 know with

01:12:37.140 theocratic regimes

01:12:38.380 the most tyrannical

01:12:39.380 regimes in the

01:12:40.140 world like Saudi 1.00

01:12:41.160 Arabia

01:12:41.640 or women go to 1.00

01:12:43.340 jail for driving

01:12:44.500 a car

01:12:44.960 they tell women 0.51

01:12:46.640 you are chattels

01:12:47.820 you are property

01:12:49.020 you are commodities

01:12:50.220 and we don't want

01:12:52.240 you to even show

01:12:53.760 your facial expression

01:12:54.960 so put on that

01:12:55.940 burqa

01:12:56.400 and now I feel

01:12:58.600 like you know

01:12:59.160 we've all been

01:12:59.920 told to put on

01:13:01.140 the burqa

01:13:01.680 strap it on

01:13:02.460 be obedient

01:13:03.080 and what is

01:13:04.520 the purpose of

01:13:05.260 that in many

01:13:06.480 cases I think

01:13:07.760 in the minds of

01:13:09.620 some people

01:13:10.160 it is a placeholder

01:13:11.940 for the vaccine

01:13:13.300 you're going to

01:13:14.420 keep that on

01:13:15.260 because the real

01:13:15.960 money they put

01:13:16.780 already 18 billion

01:13:17.980 dollars into the

01:13:18.860 vaccines

01:13:19.460 the Pentagon

01:13:21.760 we just got a

01:13:22.920 secret contract

01:13:23.760 from the Pentagon

01:13:24.420 for Moderna

01:13:25.980 with Moderna

01:13:26.780 who is we

01:13:27.980 well my group

01:13:29.380 Children's Health

01:13:30.040 Defense

01:13:30.400 okay

01:13:30.720 and we were

01:13:31.440 we were able

01:13:32.240 to get this

01:13:32.780 they sent it

01:13:33.260 heavily redacted

01:13:34.560 the contracts

01:13:35.460 between Moderna

01:13:36.320 and NIH

01:13:37.060 and then a

01:13:37.980 heavily redacted

01:13:39.020 Pentagon contract

01:13:39.840 but even from

01:13:41.680 that contract

01:13:42.620 which you can

01:13:43.040 look at

01:13:43.380 on my Instagram

01:13:44.100 you know

01:13:44.940 says

01:13:46.160 that Moderna

01:13:49.040 at the Pentagon

01:13:50.060 commits

01:13:50.900 if Moderna

01:13:52.180 gets

01:13:52.820 emergency use

01:13:54.220 authorization

01:13:54.760 which is

01:13:55.440 completely in

01:13:56.080 Tony Fauci's

01:13:56.800 hands

01:13:57.140 that the

01:13:58.460 Pentagon

01:13:58.760 commits

01:13:59.620 to giving

01:14:01.180 nine billion

01:14:02.000 dollars to

01:14:02.760 Moderna

01:14:03.220 half of which

01:14:04.200 goes to

01:14:04.960 Tony Fauci's

01:14:05.740 agency

01:14:06.260 to buy

01:14:07.940 200

01:14:08.500 million

01:14:09.880 or 500

01:14:14.200 million doses

01:14:15.040 of the vaccine

01:14:15.700 so

01:14:16.040 so

01:14:17.320 that's

01:14:18.360 two doses

01:14:18.820 for every

01:14:19.260 man woman 0.89

01:14:19.720 and child

01:14:20.180 in this

01:14:20.540 country

01:14:20.860 and it's

01:14:21.200 going to

01:14:21.440 the Pentagon

01:14:21.900 which is

01:14:23.080 the military

01:14:23.720 which is

01:14:24.160 scary

01:14:24.560 yeah

01:14:25.000 so

01:14:26.020 you know

01:14:26.560 there's so

01:14:27.020 much money

01:14:27.580 involved here

01:14:28.440 and the masks

01:14:29.820 are really

01:14:30.420 like a placeholder

01:14:31.420 they're like

01:14:32.260 they're a way

01:14:33.040 it feels like

01:14:34.320 oh it feels

01:14:35.420 like somebody

01:14:36.020 saying to us

01:14:36.780 you keep 0.98

01:14:37.440 that freaking 1.00

01:14:38.020 mask on your 0.96

01:14:38.940 face until

01:14:39.860 you get

01:14:40.720 your vaccine

01:14:41.460 and then we'll

01:14:42.120 let you take

01:14:42.760 it off

01:14:43.180 but until then

01:14:44.160 you keep it

01:14:44.860 on and

01:14:45.420 it's like

01:14:45.940 a hostage

01:14:46.500 taking

01:14:46.980 oh it feels

01:14:47.680 like you

01:14:47.900 keep your

01:14:48.220 mouth shut

01:14:48.700 it's hard 0.65

01:14:49.040 to relate

01:14:49.400 to others

01:14:49.840 with my

01:14:50.140 mask on

01:14:50.600 even like

01:14:51.040 it doesn't

01:14:51.740 I feel

01:14:52.060 like I'm

01:14:52.400 even if I'm

01:14:53.040 in a room

01:14:53.440 with somebody

01:14:53.760 feels like

01:14:54.080 I'm not

01:14:54.420 in the room

01:14:54.820 with them

01:14:55.120 there's a lot

01:14:55.960 of uh

01:14:56.620 there's a lot

01:14:57.540 of different

01:14:57.860 things there

01:14:58.300 and it's

01:14:58.560 interesting

01:14:58.800 because you

01:14:59.040 talk about

01:14:59.620 you know

01:15:00.320 so many

01:15:00.660 things where

01:15:01.020 we don't

01:15:01.420 get proof

01:15:02.140 we don't

01:15:03.000 get access

01:15:03.620 to the proof

01:15:04.440 of the studies

01:15:05.180 but with the

01:15:06.080 mask I feel

01:15:06.700 like we've

01:15:07.140 it's obvious

01:15:08.540 that we've

01:15:09.240 we get

01:15:10.160 there's a lot

01:15:10.760 of proof

01:15:11.120 that we get

01:15:11.520 as individuals

01:15:12.080 like that

01:15:12.640 that it just

01:15:13.540 doesn't feel

01:15:14.060 very human

01:15:14.700 you know

01:15:15.160 it doesn't

01:15:15.560 feel very

01:15:16.280 uh

01:15:16.740 it I don't

01:15:18.100 feel like a

01:15:18.480 human being

01:15:18.900 with that

01:15:19.220 thing on

01:15:19.620 yeah

01:15:19.940 you know

01:15:20.400 and that's

01:15:20.860 a cost

01:15:21.440 yeah

01:15:21.900 if you head

01:15:22.700 on over to

01:15:23.180 theovan.com

01:15:24.300 right now

01:15:24.780 you'll notice

01:15:25.280 that our

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01:15:33.800 there has

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01:15:35.820 to step up

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01:16:52.720 go to

01:16:53.260 modify

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01:16:58.640 that's

01:16:59.520 modiphy.com

01:17:02.520 slash

01:17:03.120 theo 0.99

01:17:03.700 these guys

01:17:04.880 don't F

01:17:05.220 around

01:17:05.540 baby gang

01:17:06.200 you know

01:17:06.540 that

01:17:06.860 and you

01:17:07.680 know

01:17:08.020 somebody

01:17:08.380 said

01:17:08.700 when I

01:17:09.020 was in

01:17:09.400 Europe

01:17:09.700 you know

01:17:11.060 when I

01:17:11.320 didn't have

01:17:11.720 a mask

01:17:12.160 and I

01:17:12.480 spoke to

01:17:12.940 this big

01:17:13.340 crowd in

01:17:13.740 Berlin

01:17:14.000 and there

01:17:14.320 was an

01:17:14.580 NBC group

01:17:15.320 there

01:17:15.700 that said

01:17:16.280 to me

01:17:16.800 you know

01:17:17.360 why aren't

01:17:18.220 you wearing

01:17:18.560 a mask

01:17:18.980 are you

01:17:19.340 scared

01:17:19.780 and I

01:17:21.600 said

01:17:21.840 I'm more

01:17:22.660 scared of

01:17:23.140 censorship

01:17:23.640 than I am

01:17:24.620 of COVID

01:17:25.040 and that

01:17:25.740 may sound

01:17:26.420 insensitive

01:17:27.040 because people

01:17:27.820 are dying

01:17:28.620 of COVID

01:17:29.100 but people

01:17:30.880 died in the

01:17:31.440 American

01:17:31.720 revolution

01:17:32.320 and they

01:17:33.480 died in the

01:17:33.900 American

01:17:34.180 revolution

01:17:34.780 to preserve

01:17:35.440 our

01:17:35.680 constitutional

01:17:36.280 rights

01:17:36.820 and our

01:17:37.160 freedoms

01:17:37.600 and at

01:17:38.340 some point

01:17:38.900 we have

01:17:39.280 to say

01:17:39.720 you know

01:17:40.100 what kind

01:17:40.720 of nation

01:17:41.160 are we

01:17:41.640 are we

01:17:42.160 are we

01:17:43.620 the land

01:17:44.020 of the free

01:17:44.420 and the home

01:17:44.840 of the brave

01:17:45.460 or are we

01:17:46.760 you know

01:17:47.340 a land

01:17:47.880 where if

01:17:49.060 somebody

01:17:49.500 you know

01:17:50.480 where somebody

01:17:51.560 is pointing

01:17:52.220 to something

01:17:53.060 and saying

01:17:53.700 be scared

01:17:55.340 keep yourself

01:17:56.280 in a constant

01:17:57.040 state of fear

01:17:57.780 so that we

01:17:58.560 can

01:17:58.880 you know

01:18:00.280 so we can

01:18:01.260 do some

01:18:02.000 business stuff

01:18:03.000 wait till

01:18:03.620 we tell

01:18:03.920 you what's

01:18:04.280 next

01:18:04.520 wait till

01:18:06.260 we get

01:18:06.460 the sponsorship

01:18:06.960 money and

01:18:07.500 then we'll

01:18:07.740 tell you

01:18:07.980 exactly what

01:18:08.540 you need

01:18:08.820 next

01:18:09.040 why is it

01:18:10.140 why when

01:18:10.760 you say

01:18:11.100 that to

01:18:12.060 me it

01:18:12.380 sounds very

01:18:12.960 normal but

01:18:13.840 I'm starting

01:18:14.380 to get this

01:18:14.960 weird acclimation

01:18:15.980 to stuff like

01:18:17.400 that sounding

01:18:18.160 outrageous right

01:18:19.420 and I know

01:18:20.600 that it doesn't

01:18:21.300 in my

01:18:22.040 in my

01:18:23.440 immediacy but

01:18:24.200 when I start

01:18:24.640 factoring into

01:18:25.440 like okay

01:18:26.220 well if I say

01:18:26.840 those things what

01:18:27.440 are people going

01:18:27.900 to think

01:18:28.220 I think

01:18:30.000 you're going

01:18:30.320 to get a lot

01:18:30.800 of sort

01:18:31.720 of hate

01:18:32.300 you know

01:18:33.440 on this

01:18:34.140 podcast

01:18:34.580 I don't

01:18:35.340 know

01:18:35.620 oh I don't

01:18:36.380 think that we

01:18:36.800 will

01:18:36.940 most audiences

01:18:37.820 are pretty

01:18:38.280 open to

01:18:38.840 things

01:18:38.980 they can

01:18:39.840 watch someone

01:18:40.700 and see

01:18:41.260 that okay

01:18:41.780 this is a

01:18:42.500 person who

01:18:42.960 has a

01:18:43.240 point of

01:18:43.860 view

01:18:44.060 this isn't

01:18:44.960 a vile

01:18:45.720 person

01:18:46.100 this isn't

01:18:46.460 a bad

01:18:46.800 creature

01:18:47.100 they might

01:18:47.700 and also

01:18:48.300 not only might

01:18:48.940 they agree

01:18:49.360 with your

01:18:49.640 point of

01:18:49.960 view but

01:18:50.200 also they

01:18:50.580 can just

01:18:50.880 hear it

01:18:51.300 I think

01:18:51.780 most people

01:18:52.240 can still

01:18:52.700 hear things

01:18:53.140 pretty regularly

01:18:53.800 I think

01:18:54.500 a lot of

01:18:54.940 people like

01:18:55.860 you said

01:18:56.240 it's just

01:18:56.520 become a lot

01:18:57.020 of fear

01:18:57.480 you know

01:18:58.040 I'm just

01:18:59.140 of a different

01:18:59.640 ilk I guess

01:19:00.320 where it's

01:19:00.720 like I

01:19:02.480 don't know

01:19:02.840 just I

01:19:04.020 don't know

01:19:04.360 man I

01:19:05.180 feel like I

01:19:05.600 can't say

01:19:06.000 what I'm

01:19:06.180 trying to

01:19:06.440 say right

01:19:06.840 now but

01:19:07.360 everything they

01:19:08.820 just make you

01:19:09.240 feel so crazy

01:19:10.040 if you think

01:19:10.540 anything different

01:19:11.180 and you can't

01:19:11.920 share it on

01:19:12.320 Twitter Twitter

01:19:12.940 is totally

01:19:13.540 you can't even

01:19:15.040 ask a question

01:19:15.760 on Twitter

01:19:16.200 without being

01:19:17.740 well they

01:19:18.200 have all

01:19:18.720 you know

01:19:19.020 they have a

01:19:19.440 whole

01:19:19.760 infrastructure

01:19:20.660 of trolls 0.59

01:19:21.400 and you

01:19:23.720 know

01:19:23.840 response

01:19:24.820 that is

01:19:27.260 just

01:19:27.620 you know

01:19:28.360 it's all

01:19:28.920 pharma

01:19:29.440 paid for

01:19:30.340 and it's

01:19:30.920 hateful

01:19:31.440 and all

01:19:31.820 of that

01:19:32.180 but you

01:19:32.720 know

01:19:32.780 there's also

01:19:33.300 a lot

01:19:33.680 of people

01:19:34.220 who just

01:19:34.900 you know

01:19:35.500 and particularly

01:19:36.220 in my party

01:19:37.080 which is the

01:19:37.480 Democratic Party

01:19:38.480 at sea mass

01:19:40.980 as a symbol

01:19:42.300 of moral

01:19:42.760 rectitude

01:19:43.360 and you

01:19:44.760 know

01:19:44.840 they believe

01:19:45.380 it

01:19:45.720 and I

01:19:46.440 my

01:19:47.240 you know

01:19:48.040 my

01:19:48.440 orientation

01:19:49.320 is science

01:19:50.280 I've been

01:19:50.880 you know

01:19:51.300 I've been

01:19:51.780 litigating

01:19:52.720 on science

01:19:53.400 for 30

01:19:53.820 years

01:19:54.140 or 40

01:19:55.180 years

01:19:55.580 and

01:19:56.680 and you

01:19:57.260 know

01:19:57.360 like I

01:19:57.740 tried

01:19:58.180 was part

01:19:58.840 of the

01:19:59.020 trial team

01:19:59.480 on the

01:19:59.740 Monsanto

01:20:00.280 case

01:20:00.680 my wife

01:20:01.340 came to

01:20:02.080 to watch

01:20:03.080 me

01:20:03.380 and

01:20:03.620 oh Monsanto

01:20:04.420 is from

01:20:04.680 crops

01:20:05.060 huh

01:20:05.360 yeah

01:20:05.980 and Roundup

01:20:07.100 you know

01:20:07.520 Roundup

01:20:07.960 oh dude

01:20:08.360 hell yeah

01:20:08.880 dude

01:20:09.160 we used

01:20:09.520 to

01:20:09.660 yeah

01:20:10.420 I got

01:20:11.020 freaking

01:20:11.420 a bunch

01:20:12.100 of fertilizer

01:20:12.580 dumped on me

01:20:13.140 one time

01:20:13.420 and it

01:20:13.600 burned a lot

01:20:14.000 of my skin

01:20:14.560 yeah

01:20:15.080 well you need

01:20:15.680 a good lawyer

01:20:16.240 man

01:20:16.600 I should have

01:20:17.520 one then bro

01:20:18.160 it was crazy

01:20:19.280 dude

01:20:19.680 it was a different

01:20:20.280 time though

01:20:21.160 oh we tried

01:20:22.000 the three

01:20:22.780 Monsanto

01:20:23.320 cases

01:20:23.860 that you

01:20:24.540 know

01:20:24.660 ultimately

01:20:25.120 brought down

01:20:25.700 the company

01:20:26.200 and my

01:20:27.460 wife

01:20:28.020 who you

01:20:28.580 know

01:20:28.900 Cheryl

01:20:29.420 Hines

01:20:29.900 came to

01:20:31.700 the trial

01:20:32.300 and she

01:20:32.800 was you

01:20:33.480 know

01:20:33.600 she was

01:20:34.620 there on

01:20:35.000 a day

01:20:35.380 when Monsanto's

01:20:37.800 Harvard

01:20:38.980 experts

01:20:40.500 were on

01:20:41.260 the stand

01:20:41.840 and they

01:20:42.560 were so

01:20:43.000 convincing

01:20:43.600 and persuasive

01:20:44.580 that you

01:20:45.420 know

01:20:45.560 that Roundup

01:20:46.420 was completely

01:20:46.920 safe

01:20:47.360 and she

01:20:48.900 said to me

01:20:49.360 well you

01:20:49.660 know why

01:20:49.980 are we even

01:20:50.400 here

01:20:50.700 these guys

01:20:51.380 know what

01:20:51.840 they're talking

01:20:52.360 about

01:20:52.680 they're educated

01:20:53.300 they have

01:20:53.560 credentials

01:20:54.000 and they're

01:20:54.600 utterly convincing

01:20:55.640 and then the

01:20:56.400 next day

01:20:57.020 she heard

01:20:57.720 our guys

01:20:58.400 and she

01:20:59.780 was like

01:21:00.240 well that

01:21:00.780 guy from

01:21:02.100 Harvard

01:21:02.440 was totally

01:21:03.120 full of 1.00

01:21:03.460 crap 1.00

01:21:03.800 oh you 1.00

01:21:05.440 know the

01:21:05.740 idea that

01:21:06.520 we can

01:21:09.400 trust an

01:21:09.880 expert to

01:21:10.620 tell us

01:21:11.140 what's good

01:21:11.560 for us

01:21:12.000 every trial

01:21:13.580 I've ever

01:21:14.000 been involved

01:21:14.560 with

01:21:14.920 there's an

01:21:15.700 expert on

01:21:16.160 both sides

01:21:16.920 and they're

01:21:18.260 both equally

01:21:19.320 convincing

01:21:19.840 and that's

01:21:20.700 why you

01:21:21.020 need the

01:21:21.340 debate

01:21:21.760 yeah

01:21:22.260 that's

01:21:22.620 why you

01:21:23.020 know

01:21:23.300 saying

01:21:23.860 Tony Fauci

01:21:24.600 that's

01:21:24.960 why people

01:21:25.380 say I

01:21:26.500 want a

01:21:26.860 second

01:21:27.080 opinion

01:21:27.500 yeah

01:21:28.040 he's a

01:21:29.120 doctor

01:21:29.560 he hasn't

01:21:30.360 treated

01:21:30.820 patients for

01:21:31.560 50 years

01:21:32.320 he's a

01:21:33.800 doctor

01:21:34.200 but he

01:21:35.440 doesn't know

01:21:35.920 anything about

01:21:36.700 economics

01:21:37.820 he cannot

01:21:39.300 tell you how

01:21:40.040 many people

01:21:40.520 are dying

01:21:41.100 of

01:21:41.500 of

01:21:42.020 of

01:21:42.600 unemployment

01:21:44.000 there are

01:21:45.380 studies from

01:21:46.000 the 1980s

01:21:46.940 there's a

01:21:47.240 famous study

01:21:48.040 in 1982

01:21:48.700 in the 1980s

01:21:49.920 there was

01:21:50.200 these huge

01:21:50.800 downsizing

01:21:51.600 and layoffs

01:21:52.300 that were

01:21:52.660 occurring in

01:21:53.260 our country

01:21:53.800 and there

01:21:55.440 was a whole

01:21:55.960 cottage industry

01:21:57.100 a whole

01:21:57.800 school of

01:21:58.700 economics that

01:21:59.440 grew up to

01:21:59.920 see what

01:22:00.380 happens to

01:22:01.000 people when

01:22:01.480 they get

01:22:01.740 unemployed

01:22:02.100 and there's

01:22:04.040 one very

01:22:04.620 famous study

01:22:05.420 it's cited

01:22:06.320 hundreds of

01:22:06.920 times

01:22:07.300 in the

01:22:08.480 literature

01:22:08.800 that said

01:22:09.760 that for

01:22:10.200 every

01:22:10.860 additional

01:22:11.480 one point

01:22:12.180 in unemployment

01:22:13.160 there's

01:22:13.820 37,000

01:22:14.840 Americans

01:22:15.320 die

01:22:15.800 9,000 0.99

01:22:18.160 of them

01:22:18.380 die of

01:22:18.700 heart

01:22:18.920 attacks

01:22:19.320 900

01:22:19.820 from

01:22:20.120 suicide

01:22:20.540 and so

01:22:21.100 on and

01:22:21.340 so on

01:22:21.840 hypertension

01:22:22.760 diabetes

01:22:23.680 all these

01:22:25.100 they lose

01:22:25.620 their health

01:22:26.120 care

01:22:26.500 all of

01:22:27.040 these

01:22:27.200 bad

01:22:27.580 things

01:22:27.880 there's

01:22:28.080 a cascade

01:22:28.480 of bad

01:22:28.920 things

01:22:29.180 happen

01:22:29.580 our

01:22:30.780 population

01:22:31.280 was about

01:22:31.940 half

01:22:32.380 so you

01:22:32.720 have to

01:22:32.960 double

01:22:33.260 that

01:22:33.580 and say

01:22:34.740 for every

01:22:35.420 point in

01:22:35.960 unemployment

01:22:36.440 we're

01:22:37.160 going to

01:22:37.400 lose

01:22:37.840 maybe

01:22:38.440 60,000

01:22:39.160 dead

01:22:39.600 and otherwise

01:22:41.020 would not

01:22:41.720 have died

01:22:42.160 and are

01:22:43.760 we

01:22:44.140 saving

01:22:45.080 more

01:22:45.780 lives

01:22:46.440 are we

01:22:46.980 killing 0.84

01:22:47.300 more 1.00

01:22:47.540 people

01:22:47.800 with

01:22:47.960 the

01:22:48.080 quarantine

01:22:48.480 than we

01:22:49.160 are

01:22:49.320 killing 0.81

01:22:49.620 with 0.58

01:22:49.820 COVID

01:22:50.140 nobody

01:22:51.260 has

01:22:51.740 done

01:22:52.020 that

01:22:52.260 assessment

01:22:52.740 and that's

01:22:53.380 the weird

01:22:53.720 thing

01:22:54.060 is people

01:22:54.420 listen to

01:22:55.040 the experts

01:22:55.640 but Anthony

01:22:57.180 Fauci is

01:22:58.200 not an

01:22:58.660 expert

01:22:59.140 on deaths

01:23:00.120 from

01:23:00.380 unemployment

01:23:00.940 and you

01:23:02.920 know

01:23:03.160 and when

01:23:03.940 when Britain

01:23:05.140 did this

01:23:05.640 study

01:23:06.060 Britain

01:23:07.220 said

01:23:07.520 in five

01:23:08.520 weeks in

01:23:09.080 April and

01:23:09.600 May

01:23:09.920 there were

01:23:11.000 30,000

01:23:11.880 excess

01:23:12.340 deaths

01:23:12.980 in

01:23:14.480 elderly

01:23:15.280 facilities

01:23:16.040 which they

01:23:16.440 call nursing

01:23:17.040 homes

01:23:17.480 in Britain

01:23:18.180 but only

01:23:19.240 10,000

01:23:19.940 of them

01:23:20.300 had COVID

01:23:20.760 20,000

01:23:22.200 of them

01:23:22.500 died from

01:23:22.920 isolation

01:23:23.520 oh yeah

01:23:24.180 I'm not

01:23:24.660 shocked

01:23:24.860 I mean

01:23:25.400 I notice

01:23:25.880 even just

01:23:26.400 in my own

01:23:26.880 like you

01:23:27.260 know

01:23:27.340 going to

01:23:27.700 12 step

01:23:28.180 and going

01:23:28.440 to recovery

01:23:28.880 and not

01:23:29.280 being able

01:23:29.560 to have

01:23:29.800 those

01:23:30.000 meetings

01:23:30.340 and not

01:23:30.800 being able

01:23:31.260 to

01:23:31.580 oh

01:23:31.960 I mean

01:23:32.840 the addiction

01:23:33.340 rates

01:23:33.900 I cannot

01:23:34.520 even imagine

01:23:35.160 bro

01:23:35.420 right

01:23:36.180 I cannot

01:23:37.140 even imagine

01:23:37.860 how like

01:23:38.460 and you

01:23:39.340 and I

01:23:39.620 know people

01:23:40.460 who have

01:23:41.980 gone out

01:23:42.500 and died

01:23:43.220 yeah

01:23:43.640 you know

01:23:44.120 during this

01:23:44.900 who are

01:23:45.280 people who

01:23:45.840 couldn't go

01:23:46.540 to our

01:23:47.300 meetings

01:23:47.740 you know

01:23:48.620 and

01:23:49.120 it's a lot

01:23:49.580 of people's

01:23:49.940 lively

01:23:50.260 and that's

01:23:51.200 a lot

01:23:51.660 of people

01:23:52.080 and there's

01:23:52.480 no talk

01:23:53.060 like there's

01:23:53.900 just no talk

01:23:54.720 about the

01:23:55.740 human effect

01:23:56.760 of some

01:23:57.280 of this

01:23:57.660 it feels

01:23:58.040 like sometimes

01:23:58.660 it's just

01:23:59.520 about this

01:24:00.000 weird medical

01:24:00.720 effect

01:24:01.300 or medical

01:24:02.740 fear

01:24:03.300 which kind

01:24:04.160 of it's

01:24:04.500 not shocking

01:24:05.240 then if

01:24:06.320 big

01:24:06.840 if

01:24:07.220 big pharma

01:24:08.680 and that

01:24:09.100 money

01:24:09.440 is

01:24:09.780 is

01:24:10.280 so slowly

01:24:11.180 seeped its

01:24:11.840 arms all the

01:24:12.520 way in

01:24:12.760 everything

01:24:13.140 that at the

01:24:14.180 very pinnacle

01:24:14.940 of discussion

01:24:15.720 the only thing

01:24:17.060 people are

01:24:17.540 concerned about

01:24:18.240 the media is

01:24:18.780 concerned about

01:24:19.400 is the

01:24:20.960 medical effects

01:24:22.040 of it

01:24:22.420 and no longer

01:24:23.320 the human

01:24:23.840 effects of it

01:24:24.640 I mean

01:24:25.020 why doesn't

01:24:25.480 Anderson Cooper

01:24:26.200 ever

01:24:27.600 not once

01:24:28.940 had an

01:24:29.520 economist

01:24:29.960 on to say 1.00

01:24:30.740 pussy bro 1.00

01:24:31.280 I don't know 1.00

01:24:31.760 bro

01:24:32.500 you know

01:24:34.580 I mean

01:24:34.980 that's

01:24:35.180 just

01:24:35.340 my

01:24:35.560 thought

01:24:35.840 bro

01:24:36.120 but

01:24:36.540 you know

01:24:37.240 what I'm

01:24:37.460 saying

01:24:37.680 I'll put

01:24:38.000 side

01:24:38.280 control

01:24:38.620 on that

01:24:38.860 dude

01:24:39.040 in a

01:24:39.220 heartbeat

01:24:39.460 but that's

01:24:39.940 just me

01:24:40.360 you know

01:24:40.860 I don't

01:24:42.360 know

01:24:42.560 though

01:24:42.740 I don't

01:24:43.140 know

01:24:43.440 here's a

01:24:43.820 question

01:24:44.060 right here

01:24:44.320 from a

01:24:44.580 young

01:24:44.780 man

01:24:45.120 who's

01:24:47.060 probably

01:24:47.240 about to 0.94

01:24:47.560 die

01:24:47.920 of something

01:24:49.660 well

01:24:50.620 of a car

01:24:51.120 accident

01:24:51.520 at the same

01:24:53.720 time

01:24:54.140 no I'm just

01:24:54.820 joking

01:24:55.080 thank you

01:24:55.480 for sending

01:24:56.320 in the

01:24:56.620 video

01:24:56.960 we can't

01:24:57.680 hear it

01:24:57.860 out here

01:24:58.060 Nick

01:24:58.240 I don't

01:24:58.440 think

01:24:58.760 I had a

01:24:59.480 question

01:24:59.720 in the

01:25:00.040 meantime

01:25:00.380 so

01:25:02.380 you said

01:25:03.540 how the

01:25:04.100 the Pfizer

01:25:04.960 vaccination

01:25:05.380 right now

01:25:05.900 doesn't

01:25:06.460 you can

01:25:07.520 still spread

01:25:08.160 COVID

01:25:08.620 yeah

01:25:09.240 so

01:25:10.120 do you

01:25:12.300 see a

01:25:12.600 world

01:25:12.840 where

01:25:13.220 this

01:25:13.700 they push

01:25:14.180 forward

01:25:14.480 with this

01:25:14.820 you can

01:25:15.120 still

01:25:15.340 spread it

01:25:15.860 but it

01:25:16.180 supposedly

01:25:16.680 makes you

01:25:17.180 healthy

01:25:17.560 but then

01:25:18.120 we still

01:25:18.640 have to

01:25:19.040 keep the

01:25:19.400 masks

01:25:19.740 on

01:25:20.020 even

01:25:20.360 what you

01:25:21.440 said

01:25:21.620 about the

01:25:21.940 facial

01:25:22.160 expressions

01:25:22.560 that was

01:25:23.000 like

01:25:23.180 terrifying

01:25:23.720 but it

01:25:24.260 seems

01:25:24.480 like

01:25:24.760 the way

01:25:25.820 they're

01:25:26.060 kind of

01:25:26.560 marketing

01:25:26.960 it

01:25:27.120 right now

01:25:27.540 oh you

01:25:27.800 can still

01:25:28.100 spread it

01:25:28.520 we may

01:25:28.920 still

01:25:29.200 even

01:25:29.540 yeah

01:25:29.980 I mean

01:25:30.320 it's

01:25:30.840 going to

01:25:31.020 be

01:25:31.180 really

01:25:31.660 you know

01:25:32.260 we really

01:25:33.080 have to

01:25:33.600 be utterly

01:25:34.600 under

01:25:35.200 hypnosis

01:25:35.840 for them

01:25:37.540 to be able

01:25:38.020 to tell

01:25:38.420 us to

01:25:38.920 take this

01:25:39.340 vaccine

01:25:39.940 when the

01:25:41.040 whole point

01:25:41.440 of the

01:25:41.620 vaccine

01:25:41.980 is the

01:25:42.640 only three

01:25:43.240 points

01:25:43.720 because we

01:25:45.080 don't care

01:25:45.740 if you

01:25:47.080 get a

01:25:47.460 fever

01:25:47.780 or a

01:25:48.360 chill

01:25:48.640 nobody

01:25:49.560 cares about

01:25:50.200 that

01:25:50.440 what we

01:25:50.820 care is

01:25:51.400 do you

01:25:51.700 die 0.97

01:25:52.140 right

01:25:52.600 do you

01:25:53.520 have to

01:25:53.780 get hospitalized

01:25:54.420 and

01:25:55.780 do you

01:25:57.320 transmit

01:25:57.840 the

01:25:58.080 disease

01:25:58.400 to

01:25:58.640 others

01:25:59.080 right

01:25:59.460 here's

01:26:00.560 a

01:26:00.660 vaccine

01:26:01.200 that

01:26:02.020 doesn't

01:26:02.240 prevent

01:26:02.500 any

01:26:02.720 of

01:26:02.860 those

01:26:03.080 things

01:26:03.420 as far

01:26:03.920 as we

01:26:04.200 know

01:26:04.520 how can

01:26:06.000 they now

01:26:06.360 mandate

01:26:06.880 that people

01:26:07.540 get that

01:26:08.160 it's

01:26:08.880 kind

01:26:09.120 of

01:26:09.220 it's

01:26:09.500 a

01:26:09.680 it's

01:26:10.120 really

01:26:10.520 a

01:26:10.860 complete

01:26:11.480 disconnect

01:26:13.520 it is

01:26:14.660 a

01:26:14.940 it's

01:26:15.280 it's

01:26:15.900 a

01:26:16.100 it's

01:26:16.400 cognitive

01:26:16.960 dissonance

01:26:17.880 where

01:26:18.940 people

01:26:19.340 will

01:26:19.560 say

01:26:20.000 you know

01:26:21.800 somehow

01:26:22.220 this is

01:26:22.960 a

01:26:23.140 life

01:26:23.520 saving

01:26:23.960 medication

01:26:24.860 because

01:26:25.420 it

01:26:25.880 prevents

01:26:26.200 you

01:26:26.400 from

01:26:26.600 coughing

01:26:27.000 and

01:26:28.480 it

01:26:28.600 does

01:26:28.820 nothing

01:26:29.380 about

01:26:29.900 anything

01:26:30.420 to do

01:26:31.060 with

01:26:31.260 this

01:26:31.480 virus

01:26:32.100 that

01:26:33.160 anybody

01:26:33.480 cares

01:26:33.880 about

01:26:34.180 but

01:26:34.500 then

01:26:34.640 why

01:26:34.980 would

01:26:35.160 everyone

01:26:35.500 do

01:26:35.760 why

01:26:35.920 would

01:26:36.120 they

01:26:36.320 agree

01:26:36.620 to

01:26:36.820 that

01:26:37.040 then

01:26:37.320 why

01:26:38.100 would

01:26:38.420 they

01:26:38.740 I

01:26:39.980 listen

01:26:40.980 what

01:26:42.200 they'll

01:26:42.720 do

01:26:43.840 is

01:26:44.200 in

01:26:44.440 my

01:26:44.760 view

01:26:45.140 is

01:26:46.720 they'll

01:26:46.980 mandate

01:26:47.400 it

01:26:47.860 for

01:26:48.360 activities

01:26:50.380 so that

01:26:51.440 you can't

01:26:52.120 go to

01:26:52.400 a ball

01:26:52.820 game

01:26:53.380 that you

01:26:54.000 can't

01:26:54.280 if you're

01:26:54.640 a nurse

01:26:55.080 they'll

01:26:55.320 do

01:26:55.560 like

01:26:56.420 nurses

01:26:56.900 doctors

01:26:57.520 people

01:26:58.040 who work

01:26:58.380 in nursing

01:26:58.800 homes

01:26:59.100 first

01:26:59.500 who

01:26:59.780 will

01:27:00.200 lose

01:27:00.440 their

01:27:00.600 job

01:27:01.060 firefighters

01:27:02.400 first

01:27:02.940 responders

01:27:03.500 and then

01:27:05.160 they'll

01:27:05.360 do

01:27:05.600 the

01:27:05.840 University

01:27:06.240 of

01:27:06.440 California

01:27:07.000 the

01:27:07.220 University

01:27:07.580 of

01:27:07.740 California

01:27:08.120 just

01:27:08.360 mandated

01:27:08.860 a

01:27:09.040 flu

01:27:09.200 shot

01:27:09.560 there

01:27:10.040 is

01:27:10.320 no

01:27:10.540 flu

01:27:10.800 this

01:27:11.060 year

01:27:11.340 and

01:27:12.440 flu

01:27:12.800 shots

01:27:13.360 we

01:27:13.680 know

01:27:14.200 from

01:27:15.140 the

01:27:15.440 literature

01:27:16.080 increase

01:27:17.580 your

01:27:17.820 chance

01:27:18.140 of getting

01:27:18.460 COVID

01:27:18.900 the

01:27:19.960 Pentagon

01:27:20.260 did a

01:27:20.760 study

01:27:21.020 in

01:27:21.200 January

01:27:21.740 that

01:27:22.100 where

01:27:22.320 they

01:27:22.520 gave

01:27:22.940 you

01:27:23.200 know

01:27:23.320 placebo

01:27:23.720 group

01:27:24.200 of

01:27:24.380 soldiers

01:27:24.820 and

01:27:25.300 they

01:27:25.480 gave

01:27:25.780 the

01:27:26.040 flu

01:27:26.360 vaccine

01:27:27.000 and

01:27:28.240 the

01:27:28.400 soldiers

01:27:28.760 got

01:27:29.040 the

01:27:29.180 flu

01:27:29.340 vaccine

01:27:29.760 were

01:27:29.920 36%

01:27:30.680 more

01:27:30.940 likely

01:27:31.300 to

01:27:31.560 get

01:27:31.780 COVID

01:27:32.220 coronavirus

01:27:34.220 not

01:27:34.760 coronavirus

01:27:35.160 19

01:27:35.720 but

01:27:36.020 coronavirus

01:27:36.520 but

01:27:36.960 there

01:27:37.180 are

01:27:37.340 many

01:27:37.740 many

01:27:37.980 many

01:27:38.180 other

01:27:38.480 studies

01:27:38.880 and

01:27:39.160 people

01:27:39.460 should

01:27:39.680 go to

01:27:40.060 Children's

01:27:40.560 Health

01:27:40.740 Defense

01:27:41.040 website

01:27:41.780 my

01:27:42.100 website

01:27:42.660 there's

01:27:44.000 a

01:27:44.160 you can

01:27:45.080 look up

01:27:45.600 letter

01:27:46.100 to

01:27:46.340 Sanjay

01:27:46.740 Gupta

01:27:47.080 which

01:27:47.460 outlines

01:27:49.840 all

01:27:50.600 of

01:27:50.760 these

01:27:50.960 studies

01:27:51.560 that

01:27:52.780 show

01:27:53.140 that

01:27:53.380 if

01:27:53.700 you

01:27:53.860 get

01:27:54.040 a

01:27:54.140 flu

01:27:54.340 shot

01:27:54.660 you 0.91

01:27:54.900 are

01:27:55.040 much

01:27:55.360 more

01:27:55.600 likely

01:27:55.920 to

01:27:56.120 get

01:27:56.280 coronavirus

01:27:56.700 or

01:27:57.240 some

01:27:57.620 other

01:27:58.140 upper

01:27:58.680 respiratory

01:27:59.240 viral

01:27:59.860 infection

01:28:00.660 it

01:28:01.840 wrecks

01:28:02.080 your

01:28:02.220 immune

01:28:02.500 system

01:28:02.960 and

01:28:03.800 yet

01:28:04.120 the

01:28:04.580 University

01:28:05.000 of

01:28:05.180 California

01:28:05.620 mandated

01:28:06.160 it

01:28:06.320 we

01:28:06.480 sued

01:28:06.800 them

01:28:07.040 we

01:28:08.220 lost

01:28:08.580 that

01:28:08.800 lawsuit

01:28:09.280 because

01:28:09.520 the

01:28:09.700 judge

01:28:09.960 said

01:28:10.240 well

01:28:10.560 you

01:28:10.900 know

01:28:11.200 I'm

01:28:12.560 not

01:28:12.780 going

01:28:12.900 to

01:28:13.180 I'm

01:28:13.680 not

01:28:13.900 going

01:28:14.020 to

01:28:14.140 arbitrate

01:28:14.640 medicine

01:28:15.080 somebody's

01:28:15.640 already

01:28:15.820 made

01:28:16.040 that

01:28:16.240 decision

01:28:16.760 that's

01:28:19.200 the

01:28:19.320 problem

01:28:19.760 is

01:28:20.080 that

01:28:20.280 and

01:28:20.540 then

01:28:20.720 they're

01:28:20.920 going

01:28:21.020 to

01:28:21.120 tell

01:28:21.320 you

01:28:21.500 you

01:28:21.700 can't

01:28:21.940 go

01:28:22.040 to

01:28:22.120 a

01:28:22.220 ball

01:28:22.460 game

01:28:22.840 you

01:28:23.040 can't

01:28:23.320 go

01:28:23.400 to

01:28:23.500 a

01:28:23.620 bar

01:28:23.960 you

01:28:24.220 can't

01:28:24.500 go

01:28:24.580 to

01:28:24.680 a

01:28:24.800 movie

01:28:25.220 unless

01:28:25.800 you

01:28:25.980 get

01:28:26.120 the

01:28:26.240 vaccine

01:28:26.660 but

01:28:26.880 back

01:28:27.040 to

01:28:27.140 that

01:28:27.280 Berkeley

01:28:27.520 back

01:28:27.780 to

01:28:27.940 the

01:28:28.040 University

01:28:28.440 of

01:28:28.580 California

01:28:28.820 case

01:28:29.040 does

01:28:29.240 that

01:28:29.580 is

01:28:30.220 that

01:28:30.580 but

01:28:30.880 does

01:28:31.100 that

01:28:31.300 shot

01:28:31.580 do

01:28:31.820 more

01:28:32.100 good

01:28:32.440 than

01:28:32.600 it

01:28:32.740 does

01:28:33.000 bad

01:28:33.480 the

01:28:34.280 flu

01:28:34.700 shot

01:28:35.180 does

01:28:35.560 much

01:28:35.880 more

01:28:36.240 listen

01:28:36.800 people

01:28:38.080 should

01:28:38.320 not

01:28:38.540 listen

01:28:38.840 to

01:28:38.980 me

01:28:39.260 and

01:28:40.760 I

01:28:40.880 always

01:28:41.140 tell

01:28:41.360 people

01:28:41.680 this

01:28:41.920 you

01:28:42.220 need

01:28:42.440 to

01:28:42.560 look

01:28:42.740 at

01:28:42.840 the

01:28:42.960 science

01:28:43.280 but

01:28:43.440 I

01:28:43.620 can

01:28:43.780 tell

01:28:43.960 you

01:28:44.080 what

01:28:44.240 the

01:28:44.460 science

01:28:44.820 says

01:28:45.280 and

01:28:45.840 then

01:28:46.040 you

01:28:46.380 should

01:28:54.580 through

01:28:54.940 because

01:28:55.420 there's

01:28:56.680 been

01:28:56.860 three

01:28:57.340 major

01:28:57.840 studies

01:28:58.640 on

01:28:59.380 which

01:29:00.320 are

01:29:00.440 called

01:29:00.660 meta

01:29:00.920 reviews

01:29:01.300 which

01:29:02.120 means

01:29:02.520 there

01:29:02.720 are

01:29:03.100 hundreds

01:29:03.460 and

01:29:03.660 hundreds

01:29:03.840 of

01:29:04.020 studies

01:29:04.340 on

01:29:04.540 the

01:29:04.640 flu

01:29:04.820 shot

01:29:05.140 on

01:29:05.300 various

01:29:05.700 aspects

01:29:06.140 does

01:29:06.480 it

01:29:06.620 prevent

01:29:06.980 hospitalization

01:29:07.880 in the

01:29:08.180 elderly

01:29:08.640 does

01:29:09.160 it

01:29:09.440 cause

01:29:10.620 injuries

01:29:11.160 in

01:29:11.580 babies

01:29:12.280 when

01:29:12.680 it's

01:29:13.000 maternal

01:29:14.120 flu

01:29:14.460 shots

01:29:14.840 etc

01:29:15.160 so

01:29:15.360 there's

01:29:15.600 hundreds

01:29:15.840 of

01:29:16.040 questions

01:29:16.580 there's

01:29:17.960 hundreds

01:29:18.300 and

01:29:18.460 hundreds

01:29:18.660 of

01:29:18.820 studies

01:29:19.200 and

01:29:19.640 there's

01:29:19.900 three

01:29:20.320 meta

01:29:20.720 reviews

01:29:21.200 a

01:29:21.440 meta

01:29:21.780 review

01:29:22.200 is

01:29:22.680 one

01:29:22.960 a group

01:29:23.340 of

01:29:23.520 scientists

01:29:23.900 go out

01:29:24.420 and

01:29:24.560 says

01:29:24.920 we're

01:29:25.520 going

01:29:25.640 to

01:29:25.760 look

01:29:25.980 at

01:29:26.120 every

01:29:26.500 study

01:29:26.900 that's

01:29:27.180 ever

01:29:27.440 been

01:29:27.640 done

01:29:28.020 and

01:29:29.320 tell

01:29:29.700 you

01:29:30.020 what

01:29:30.340 the

01:29:30.620 state

01:29:31.140 of

01:29:31.260 the

01:29:31.380 science

01:29:31.760 is

01:29:32.240 right

01:29:32.620 now

01:29:32.920 on

01:29:33.100 these

01:29:33.320 questions

01:29:33.840 so

01:29:34.140 the

01:29:34.380 meta

01:29:34.780 reviews

01:29:35.240 have

01:29:35.480 been

01:29:35.640 done

01:29:35.960 two

01:29:36.400 of

01:29:36.540 them

01:29:36.660 by

01:29:36.840 the

01:29:37.020 Cochran

01:29:37.420 collaboration

01:29:38.200 which

01:29:39.840 is

01:29:40.060 the

01:29:40.240 ultimate

01:29:40.600 arbiter

01:29:41.100 for

01:29:41.380 pharmaceuticals

01:29:42.280 it's

01:29:42.480 30,000

01:29:43.260 scientists

01:29:43.940 who don't

01:29:44.760 take

01:29:45.000 pharmaceutical

01:29:45.520 money

01:29:45.980 and the

01:29:46.360 top

01:29:46.620 scientists

01:29:47.080 in

01:29:47.260 the

01:29:47.360 world

01:29:47.680 recognized

01:29:49.060 by

01:29:49.640 it

01:29:49.880 the

01:29:50.880 leader

01:29:51.180 of

01:29:51.340 is

01:29:51.560 a

01:29:51.680 guy

01:29:51.820 called

01:29:52.160 Thomas

01:29:52.560 Jefferson

01:29:53.040 he's

01:29:53.440 a

01:29:53.560 founder

01:29:53.920 and

01:29:54.260 he's

01:29:54.460 very

01:29:54.680 famous

01:29:55.300 British

01:29:55.900 scientist

01:29:56.680 not

01:29:57.060 the

01:29:57.240 president

01:29:57.600 he's

01:29:58.140 a

01:29:58.300 British

01:30:00.040 scientist

01:30:00.560 and

01:30:01.000 then

01:30:01.140 the

01:30:01.300 other

01:30:01.520 was

01:30:01.820 by

01:30:02.040 the

01:30:02.180 British

01:30:02.400 medical

01:30:02.800 journal

01:30:03.120 and

01:30:03.340 here's

01:30:03.600 what

01:30:03.720 they

01:30:03.880 said

01:30:04.180 you

01:30:05.580 have

01:30:05.800 to

01:30:05.880 give

01:30:06.020 100

01:30:06.360 flu

01:30:06.660 shots

01:30:07.060 to

01:30:07.220 prevent

01:30:07.480 one

01:30:07.760 case

01:30:08.080 of

01:30:08.200 the

01:30:08.300 flu

01:30:08.520 there's

01:30:09.640 no

01:30:10.100 evidence

01:30:10.960 that

01:30:11.380 flu

01:30:11.840 shot

01:30:12.080 to

01:30:12.240 prevent

01:30:14.360 one

01:30:14.760 case

01:30:15.220 you

01:30:15.800 have

01:30:16.040 to

01:30:16.180 give

01:30:17.300 100

01:30:17.700 shots

01:30:18.320 to

01:30:19.880 prevent

01:30:20.160 one

01:30:20.460 case

01:30:20.780 of

01:30:20.880 the

01:30:21.000 flu

01:30:21.220 you're

01:30:22.460 only

01:30:22.780 preventing

01:30:23.160 a

01:30:23.360 case

01:30:23.660 there's

01:30:23.960 no

01:30:24.180 evidence

01:30:24.640 that

01:30:24.820 the

01:30:24.940 flu

01:30:25.120 shot

01:30:25.420 prevents

01:30:25.840 any

01:30:26.240 hospitalizations

01:30:27.080 or

01:30:27.400 any

01:30:27.620 deaths

01:30:28.040 in

01:30:28.360 fact

01:30:28.660 since

01:30:28.920 they

01:30:29.100 started

01:30:29.500 giving

01:30:29.800 the

01:30:29.960 flu

01:30:30.120 shot

01:30:30.400 to 0.97

01:30:30.560 elderly

01:30:30.900 people

01:30:31.280 the

01:30:31.480 death

01:30:31.740 rate

01:30:32.040 has

01:30:32.360 grown

01:30:32.720 up

01:30:32.920 dramatically

01:30:33.540 a

01:30:34.840 flu

01:30:35.000 shot

01:30:35.280 is

01:30:35.480 not

01:30:35.820 preventing

01:30:36.240 deaths

01:30:36.600 in the

01:30:36.840 elderly

01:30:37.200 if

01:30:38.620 you

01:30:39.100 get

01:30:39.300 a

01:30:39.440 flu

01:30:39.620 shot

01:30:40.020 you 0.99

01:30:40.380 will

01:30:41.400 not

01:30:41.760 get

01:30:42.060 you're

01:30:42.400 less

01:30:43.000 likely

01:30:43.340 to

01:30:43.500 get

01:30:43.660 the

01:30:43.820 flu

01:30:44.060 shot

01:30:44.360 of

01:30:45.200 that

01:30:45.400 strain

01:30:45.880 of

01:30:46.040 flu

01:30:46.360 but

01:30:47.740 you're

01:30:47.960 five

01:30:48.280 times

01:30:48.620 more

01:30:48.860 likely

01:30:49.160 to

01:30:49.340 get

01:30:49.460 a

01:30:49.580 non

01:30:49.820 flu

01:30:50.020 infection

01:30:50.500 and

01:30:52.160 that

01:30:52.620 you're

01:30:53.040 six

01:30:54.140 times

01:30:54.480 more

01:30:54.760 likely

01:30:55.200 to

01:30:55.700 transmit

01:30:56.300 the

01:30:56.600 flu

01:30:56.880 so

01:30:57.180 the

01:30:57.580 flu

01:30:57.820 shot

01:30:58.080 does

01:30:58.320 not

01:30:58.560 prevent

01:30:58.840 you

01:30:59.000 from

01:30:59.160 transmitting

01:30:59.680 it

01:30:59.880 so

01:30:59.980 that's

01:31:00.320 what

01:31:00.460 the

01:31:02.720 flu

01:31:03.080 shot

01:31:03.320 for

01:31:03.460 90

01:31:03.800 years

01:31:04.340 so

01:31:05.260 the

01:31:05.420 COVID

01:31:05.680 thing

01:31:05.900 almost

01:31:07.100 sounds

01:31:07.340 like

01:31:07.440 it

01:31:07.520 be

01:31:07.600 just

01:31:07.780 another

01:31:07.980 flu

01:31:08.240 shot

01:31:08.500 almost

01:31:08.680 that's

01:31:08.920 what

01:31:09.040 I've

01:31:10.020 said

01:31:10.220 from

01:31:10.360 the

01:31:10.480 beginning

01:31:10.720 we've

01:31:11.000 had

01:31:11.140 a

01:31:11.260 flu

01:31:11.420 shot

01:31:11.660 for

01:31:11.800 90

01:31:12.140 years

01:31:12.640 and

01:31:13.060 that's

01:31:13.380 the

01:31:13.500 best

01:31:13.720 they

01:31:13.900 can

01:31:14.040 do

01:31:14.400 and

01:31:15.820 COVID

01:31:16.200 it's

01:31:16.620 much

01:31:17.100 more

01:31:17.420 difficult

01:31:18.620 to develop

01:31:19.240 a

01:31:19.400 coronavirus

01:31:19.800 vaccine

01:31:20.640 and

01:31:21.140 one

01:31:21.420 of

01:31:21.520 the

01:31:21.640 problems

01:31:22.060 that's

01:31:22.380 unique

01:31:22.760 to

01:31:22.940 coronavirus

01:31:23.360 vaccine

01:31:24.120 in

01:31:24.280 the

01:31:24.400 past

01:31:24.800 is

01:31:26.260 the

01:31:26.440 coronavirus

01:31:26.900 vaccines

01:31:27.740 are

01:31:28.360 known

01:31:28.780 to

01:31:29.120 wreck

01:31:29.440 your

01:31:29.720 immune

01:31:30.260 system

01:31:30.760 and

01:31:31.960 it's

01:31:33.060 a

01:31:33.240 phenomenon

01:31:33.960 that is

01:31:34.380 known as

01:31:34.740 pathogenic

01:31:35.420 priming

01:31:36.100 and

01:31:38.060 what

01:31:38.640 they

01:31:39.000 found

01:31:39.400 is

01:31:39.680 they

01:31:39.880 give

01:31:40.240 the

01:31:40.400 coronavirus

01:31:40.760 vaccine

01:31:41.840 to

01:31:42.060 ferrets

01:31:42.580 for

01:31:42.820 example

01:31:43.280 in

01:31:43.500 2014

01:31:44.120 good

01:31:45.660 ferrets

01:31:46.280 developed

01:31:46.800 a

01:31:47.120 very

01:31:47.680 good

01:31:47.960 antibody

01:31:48.520 response

01:31:49.220 and

01:31:49.420 ferrets

01:31:49.740 you mean

01:31:49.960 the

01:31:50.080 animals

01:31:50.420 yeah

01:31:50.900 and

01:31:51.160 the

01:31:51.300 ferrets

01:31:51.620 they

01:31:51.840 use

01:31:52.180 ferrets

01:31:52.600 because

01:31:52.900 ferrets

01:31:53.400 are

01:31:53.580 the

01:31:53.680 closest

01:31:54.460 analogy

01:31:55.080 to

01:31:55.280 human

01:31:55.560 beings

01:31:55.920 when

01:31:56.120 it

01:31:56.260 comes

01:31:56.560 to

01:31:56.900 upper

01:31:57.420 respiratory

01:31:57.900 viral

01:31:58.420 infection

01:31:58.800 really

01:31:59.040 yes

01:31:59.580 and

01:31:59.860 so

01:32:00.020 that's

01:32:00.460 what

01:32:00.600 they

01:32:00.760 always

01:32:01.260 use

01:32:01.580 ferrets

01:32:02.100 they're 0.98

01:32:03.720 disgusting 0.96

01:32:04.400 sorry 0.97

01:32:05.200 I know

01:32:05.480 you love

01:32:05.780 animals

01:32:06.080 but

01:32:06.380 they

01:32:06.940 pissed

01:32:07.280 on me

01:32:07.500 at my

01:32:07.700 buddy 1.00

01:32:07.880 fucking 0.99

01:32:08.140 Curtis's 1.00

01:32:08.620 house

01:32:08.880 and

01:32:09.040 that 1.00

01:32:09.200 shit 1.00

01:32:09.360 will 0.99

01:32:09.480 never

01:32:09.720 go

01:32:09.940 away

01:32:10.220 man

01:32:10.580 but

01:32:11.220 he

01:32:11.380 let

01:32:11.580 them

01:32:11.700 out

01:32:11.880 also

01:32:12.220 and

01:32:12.380 he

01:32:12.500 shouldn't

01:32:12.720 have

01:32:12.920 PTSD

01:32:13.020 from

01:32:13.320 that

01:32:13.600 oh

01:32:13.820 dude

01:32:14.060 it

01:32:14.200 was

01:32:14.440 they

01:32:14.880 are

01:32:15.080 just

01:32:15.280 wow

01:32:15.520 anyway

01:32:15.800 go

01:32:16.060 on

01:32:16.300 I'm

01:32:16.560 sorry

01:32:16.860 so

01:32:17.460 anyway

01:32:18.280 they

01:32:18.520 gave

01:32:18.800 it

01:32:18.880 to

01:32:18.960 the

01:32:19.080 ferrets

01:32:19.400 the

01:32:19.580 ferrets

01:32:19.880 got

01:32:28.800 it'll

01:32:29.340 like

01:32:29.620 it'll

01:32:30.080 help

01:32:30.280 you

01:32:30.360 to

01:32:30.440 that

01:32:30.560 one

01:32:30.740 specific

01:32:31.060 thing

01:32:31.380 but

01:32:31.540 then

01:32:31.680 when

01:32:31.820 something

01:32:32.060 else

01:32:32.300 comes

01:32:32.540 along

01:32:32.820 it

01:32:33.100 makes

01:32:33.400 you

01:32:33.560 less

01:32:33.960 likely

01:32:34.540 to

01:32:34.680 be

01:32:34.760 able

01:32:34.860 to

01:32:34.960 defend

01:32:35.200 yourself

01:32:35.420 against

01:32:35.660 it

01:32:35.920 wow

01:32:36.560 here's

01:32:37.320 a question

01:32:37.620 right here

01:32:37.860 from a young

01:32:38.300 man

01:32:38.660 hello

01:32:40.520 Mr.

01:32:40.900 Kennedy

01:32:41.160 it's

01:32:41.480 great

01:32:41.680 seeing

01:32:41.940 you

01:32:42.080 top

01:32:42.300 it

01:32:42.420 up

01:32:42.600 with

01:32:42.820 Theo

01:32:43.340 here

01:32:43.660 I

01:32:44.740 know

01:32:44.980 you're

01:32:45.440 really

01:32:45.600 concerned

01:32:45.920 about

01:32:46.140 children's

01:32:46.700 safety

01:32:47.040 I'm

01:32:47.340 just

01:32:47.520 kind

01:32:47.760 of

01:32:47.860 wondering

01:32:48.120 what are

01:32:48.380 the

01:32:48.520 top

01:32:48.780 three

01:32:49.300 to

01:32:49.660 five

01:32:50.280 areas

01:32:52.140 of

01:32:52.400 concern

01:32:52.880 chemicals

01:32:53.760 etc

01:32:54.480 influencing

01:32:56.560 raising

01:32:58.620 kids

01:32:58.880 right now

01:32:59.240 alright

01:32:59.800 thanks

01:33:00.120 bye

01:33:00.320 well

01:33:00.640 you know

01:33:01.140 and that's

01:33:01.600 a good

01:33:01.820 question

01:33:02.260 there's

01:33:02.640 a

01:33:02.860 we

01:33:03.440 know

01:33:03.680 that

01:33:03.860 there's

01:33:04.100 been

01:33:04.220 a

01:33:04.360 dramatic

01:33:04.840 explosion

01:33:06.780 of

01:33:07.140 chronic

01:33:07.440 disease

01:33:07.860 in

01:33:08.080 our

01:33:08.260 children

01:33:08.580 so

01:33:09.000 in

01:33:10.440 1946

01:33:11.520 of

01:33:12.840 Americans

01:33:13.340 had

01:33:13.660 chronic

01:33:13.980 disease

01:33:14.440 by

01:33:14.800 chronic

01:33:15.060 disease

01:33:15.460 I

01:33:15.660 mean

01:33:15.800 autoimmune

01:33:16.360 disease

01:33:16.800 is one

01:33:17.160 category

01:33:17.780 allergic

01:33:18.380 disease

01:33:18.960 is

01:33:19.420 obesity

01:33:20.820 also

01:33:21.500 is in

01:33:22.020 there

01:33:22.300 and

01:33:22.640 neurodevelopmental

01:33:23.660 diseases

01:33:24.240 and in

01:33:25.860 1946

01:33:26.420 percent

01:33:27.080 of

01:33:27.260 Americans

01:33:27.740 had

01:33:28.220 chronic

01:33:28.520 disease

01:33:28.960 by

01:33:29.440 1986

01:33:30.840 12.8

01:33:32.360 percent

01:33:32.780 had

01:33:33.080 chronic

01:33:33.320 disease

01:33:33.680 this is

01:33:34.040 according

01:33:34.280 to HHS

01:33:34.880 studies

01:33:35.460 so it

01:33:37.100 doubled

01:33:37.520 and you

01:33:38.840 know

01:33:39.060 people

01:33:39.940 and the

01:33:40.640 vaccine

01:33:41.080 schedule

01:33:41.540 had gone

01:33:42.120 from

01:33:42.400 three

01:33:42.960 during

01:33:43.440 that

01:33:43.720 period

01:33:44.180 to

01:33:44.640 11

01:33:45.040 and

01:33:46.440 then in

01:33:46.820 2006

01:33:47.720 HHS

01:33:48.440 studied

01:33:48.920 the

01:33:49.120 issue

01:33:49.400 again

01:33:49.780 and

01:33:50.040 found

01:33:50.300 that

01:33:50.460 54

01:33:51.000 percent

01:33:51.480 of

01:33:52.060 Americans

01:33:52.520 have

01:33:52.880 chronic

01:33:53.180 disease

01:33:53.660 American

01:33:54.240 children

01:33:54.720 a dramatic

01:33:56.680 lot

01:33:56.960 more than

01:33:57.460 half our

01:33:57.960 kids

01:33:58.160 are

01:33:58.440 HHS

01:33:58.800 is what

01:33:59.300 health and

01:34:00.700 human

01:34:00.880 services

01:34:01.360 that

01:34:01.860 is the

01:34:02.640 kind of

01:34:03.400 the uber

01:34:04.040 agency

01:34:04.740 in which

01:34:05.500 CDC

01:34:06.060 FDA

01:34:06.620 and NIH

01:34:07.340 are housed

01:34:08.400 okay

01:34:08.800 oh

01:34:10.000 and they

01:34:10.640 did the

01:34:11.160 study

01:34:11.580 and

01:34:13.080 the

01:34:14.660 question

01:34:15.060 is

01:34:15.340 what

01:34:15.720 is

01:34:16.040 causing

01:34:16.500 this

01:34:16.820 explosion

01:34:17.240 in

01:34:17.440 chronic

01:34:17.660 disease

01:34:18.000 we

01:34:18.220 know

01:34:18.420 it's

01:34:18.580 not

01:34:18.780 genes

01:34:19.160 because

01:34:19.560 genes

01:34:19.980 do not

01:34:20.400 cause

01:34:20.760 epidemics

01:34:21.380 they don't

01:34:21.700 cause

01:34:22.000 sudden

01:34:22.280 epidemics

01:34:22.900 genes

01:34:23.560 can provide

01:34:24.860 a vulnerability

01:34:25.600 you need

01:34:27.420 an environmental

01:34:27.920 toxin

01:34:28.580 and

01:34:29.420 there's

01:34:30.060 a

01:34:30.460 scientist

01:34:31.420 called

01:34:32.980 Phil

01:34:33.280 Landrigan

01:34:33.920 who

01:34:35.040 looked

01:34:35.520 at

01:34:35.920 all of

01:34:36.480 the

01:34:36.620 possible

01:34:37.080 suspects

01:34:37.620 and

01:34:39.560 he

01:34:40.200 came up

01:34:40.820 with

01:34:41.180 I think

01:34:41.600 about

01:34:41.860 11

01:34:42.280 and

01:34:43.120 one

01:34:43.500 of

01:34:43.660 those

01:34:44.160 is

01:34:44.840 you know

01:34:45.900 is

01:34:46.140 glyphosate

01:34:47.480 pesticides

01:34:47.980 which

01:34:48.820 follow

01:34:49.380 the

01:34:49.600 timeline

01:34:50.580 neonicotoid

01:34:53.140 pesticides

01:34:53.640 which again

01:34:54.560 follow

01:34:54.940 the same

01:34:55.380 timeline

01:34:56.040 PFOAs

01:34:59.160 which is

01:34:59.580 a flame

01:35:00.040 retardant 1.00

01:35:00.640 that became

01:35:01.220 it's in

01:35:01.640 children's

01:35:02.020 pajamas

01:35:02.460 and it's

01:35:03.140 in

01:35:03.420 you know

01:35:03.820 it's in

01:35:04.200 masks

01:35:04.760 in fact

01:35:05.540 that are

01:35:07.200 made by

01:35:07.580 3M

01:35:08.220 so we're

01:35:08.720 breathing

01:35:09.200 that

01:35:09.680 you know

01:35:10.060 which is

01:35:10.380 carcinogen

01:35:11.080 and then

01:35:13.600 EMFs

01:35:15.400 which are

01:35:16.060 basically

01:35:16.620 cell phones

01:35:17.380 and

01:35:18.960 and then

01:35:19.520 vaccines

01:35:20.020 and those

01:35:20.420 are the

01:35:20.680 primary

01:35:21.120 culprits

01:35:21.720 and it

01:35:22.100 would be

01:35:22.360 very easy

01:35:23.200 for the

01:35:23.600 government

01:35:24.040 there's

01:35:25.700 a narrow

01:35:26.520 view

01:35:26.740 I mean

01:35:27.040 one of

01:35:27.440 the other

01:35:27.820 ones

01:35:28.120 that's

01:35:28.340 on that

01:35:28.820 list

01:35:29.200 is

01:35:29.460 ultrasound

01:35:30.020 because

01:35:31.160 ultrasound

01:35:31.700 you know

01:35:32.740 followed

01:35:33.160 the timeline

01:35:33.800 and it's

01:35:34.680 ubiquitous

01:35:35.240 it's in

01:35:36.240 every hospital

01:35:37.060 and it's

01:35:37.480 all over

01:35:37.880 the world

01:35:38.340 and all

01:35:38.680 these

01:35:38.860 babies

01:35:39.180 are getting

01:35:39.620 it

01:35:39.800 so

01:35:40.040 it has

01:35:41.420 to be

01:35:41.640 a suspect

01:35:42.180 oh I

01:35:43.120 understand

01:35:43.440 that for

01:35:43.720 a baby

01:35:44.140 if I'm

01:35:44.420 a baby

01:35:44.700 and I hear

01:35:45.060 something

01:35:45.320 like that

01:35:45.780 I'd be

01:35:46.120 I don't

01:35:47.160 believe

01:35:47.600 it

01:35:48.020 but I

01:35:48.360 don't know

01:35:48.720 much

01:35:48.960 about it

01:35:49.480 I believe

01:35:50.660 that the

01:35:51.340 you know

01:35:51.660 the real

01:35:52.080 culprits

01:35:52.640 are the

01:35:53.440 vaccines

01:35:54.280 I think

01:35:55.060 the pesticides

01:35:55.640 I listen

01:35:56.380 our kids

01:35:57.900 are swimming

01:35:58.920 around in a

01:35:59.500 toxic soup

01:36:00.120 today

01:36:00.400 so their

01:36:01.020 immune systems

01:36:02.760 are under

01:36:03.320 constant

01:36:03.940 assault

01:36:04.460 and what

01:36:05.940 happens

01:36:06.420 is that

01:36:07.200 a lot

01:36:07.740 of those

01:36:08.100 substances

01:36:08.580 open up

01:36:09.260 the blood

01:36:09.580 brain barrier

01:36:10.320 so a lot

01:36:11.260 of the

01:36:11.680 toxics

01:36:12.320 that normally

01:36:13.020 your body

01:36:13.580 could excrete

01:36:14.340 are ending

01:36:15.800 up going

01:36:16.280 into their

01:36:16.740 brains

01:36:17.240 and you

01:36:18.240 know

01:36:18.380 you're

01:36:18.800 getting

01:36:19.080 all of

01:36:19.560 these

01:36:19.920 neurodevelopmental

01:36:21.060 effects

01:36:21.580 and you

01:36:22.620 know

01:36:22.740 and it's

01:36:23.240 probably

01:36:23.580 you know

01:36:24.140 you also

01:36:24.560 have fluoride

01:36:25.520 and drinking

01:36:25.980 water

01:36:26.400 you have

01:36:27.920 dental

01:36:28.200 amalgams

01:36:28.940 which are

01:36:29.520 you know

01:36:29.900 mercury

01:36:30.360 and so

01:36:31.040 there's

01:36:31.280 all these

01:36:31.840 different

01:36:32.280 toxins

01:36:32.820 but I

01:36:33.580 would say

01:36:34.080 kind of

01:36:34.500 the

01:36:34.760 I'm

01:36:35.800 most worried

01:36:37.040 about the

01:36:37.480 ones

01:36:37.840 which are

01:36:38.560 the

01:36:39.320 EMFs

01:36:40.020 from cell

01:36:40.520 phones

01:36:40.880 and from

01:36:41.360 the towers

01:36:41.880 5G

01:36:42.620 I think

01:36:44.140 it's going

01:36:44.480 to be

01:36:44.660 really a

01:36:45.160 catastrophe

01:36:45.760 and

01:36:46.220 you

01:36:46.320 don't

01:36:46.440 know

01:36:46.540 the

01:36:46.660 long-term

01:36:46.980 effects

01:36:47.320 of that

01:36:47.620 no

01:36:48.040 and

01:36:48.400 and

01:36:48.700 there

01:36:48.860 are

01:36:49.200 literally

01:36:49.920 tens

01:36:51.320 of

01:36:51.660 thousands

01:36:52.100 of

01:36:52.400 studies

01:36:52.780 that

01:36:53.240 show

01:36:53.580 that

01:36:53.960 it

01:36:54.320 including

01:36:55.140 a

01:36:55.460 30

01:36:55.860 million

01:36:56.240 NIH

01:36:58.300 study

01:36:58.860 that

01:36:59.040 was

01:36:59.200 just

01:36:59.480 released

01:36:59.920 that

01:37:00.180 show

01:37:00.440 that

01:37:00.800 you

01:37:01.080 know

01:37:01.180 they

01:37:01.380 cause

01:37:01.760 cancer

01:37:02.240 they

01:37:02.800 cause

01:37:03.380 oh yeah

01:37:04.020 they

01:37:04.520 cause

01:37:04.860 cell

01:37:05.540 damage

01:37:05.960 and you

01:37:06.940 know

01:37:07.120 and they

01:37:07.460 cause

01:37:07.740 brain

01:37:08.080 injuries

01:37:08.560 they

01:37:08.940 change

01:37:09.400 your

01:37:09.660 EEGs

01:37:10.380 kids

01:37:10.860 who put

01:37:11.200 itself

01:37:11.500 onto

01:37:11.820 their 0.99

01:37:12.020 head

01:37:12.260 for

01:37:12.440 two

01:37:12.700 minutes

01:37:13.100 their

01:37:14.420 EEGs

01:37:15.100 do not

01:37:15.960 return to

01:37:17.140 normal

01:37:17.520 for 12

01:37:18.080 hours

01:37:18.460 and it's

01:37:20.060 all around

01:37:20.700 us right

01:37:21.140 now

01:37:21.340 so 5G

01:37:22.240 is really

01:37:22.840 I think

01:37:23.220 a catastrophe

01:37:23.840 we don't

01:37:24.920 know the

01:37:25.180 long-term

01:37:25.440 effects of

01:37:25.820 these waves

01:37:26.360 going through

01:37:26.800 our body

01:37:27.220 no

01:37:27.520 damn 0.97

01:37:28.160 microwaves 1.00

01:37:28.960 we're gonna

01:37:29.300 turn I'm gonna

01:37:29.900 turn into a 1.00

01:37:30.360 fucking snail 1.00

01:37:31.060 Bobby 1.00

01:37:31.320 I don't

01:37:31.860 I don't mean

01:37:32.480 to depress

01:37:32.940 you

01:37:33.160 no

01:37:33.320 it's

01:37:33.540 okay

01:37:33.800 look

01:37:34.060 I knew

01:37:34.380 it was

01:37:34.620 coming

01:37:34.840 here's

01:37:35.080 the thing

01:37:35.280 I know

01:37:35.580 every time

01:37:35.940 I answer

01:37:36.240 my phone

01:37:36.660 that it's

01:37:36.940 coming

01:37:37.140 I know

01:37:37.700 when I wake

01:37:38.160 up in the

01:37:38.500 morning after

01:37:38.960 I do yoga

01:37:39.520 or after

01:37:39.820 I meditate

01:37:40.260 once I start

01:37:41.140 to reach

01:37:41.560 for that

01:37:41.840 phone

01:37:42.080 there's no

01:37:42.560 denying

01:37:43.060 that there's

01:37:43.460 a ping

01:37:43.980 which I now

01:37:45.020 call it

01:37:45.400 ironically

01:37:45.760 that goes

01:37:46.260 off inside

01:37:46.820 of my head

01:37:47.360 and in my

01:37:47.720 spirit

01:37:48.080 that tells

01:37:48.700 me

01:37:49.000 it's not

01:37:49.940 a good

01:37:50.240 thing to

01:37:50.560 do

01:37:50.840 well you

01:37:51.340 know what

01:37:51.640 there's

01:37:51.960 people

01:37:52.220 first of

01:37:52.660 all I

01:37:53.080 never put

01:37:53.580 the cell

01:37:53.960 on next

01:37:54.400 to my

01:37:54.600 head

01:37:54.900 but I

01:37:57.300 always hold

01:37:57.800 it put

01:37:58.080 it on

01:37:58.280 speaker

01:37:58.580 and hold

01:37:58.880 it away

01:37:59.300 but and

01:38:01.340 I have

01:38:01.860 one room

01:38:02.380 in my

01:38:02.660 house

01:38:02.900 that's

01:38:03.120 armored

01:38:03.560 so there's

01:38:04.460 no EMF

01:38:05.140 sitting there

01:38:05.780 and I

01:38:06.440 sleep in

01:38:07.000 that room

01:38:07.540 I you know

01:38:08.180 there's

01:38:08.460 people who

01:38:08.980 now will

01:38:09.420 do that

01:38:09.900 you have

01:38:10.240 to make

01:38:10.520 sure

01:38:10.780 because

01:38:11.120 the predatory

01:38:11.680 industry

01:38:12.280 that's

01:38:12.700 for the

01:38:12.900 elite

01:38:13.220 right there

01:38:13.680 armored

01:38:14.400 bedroom

01:38:14.880 well it's

01:38:15.860 you know

01:38:16.180 they paint

01:38:16.620 it with

01:38:16.880 carbon

01:38:17.320 and the

01:38:19.780 thing is

01:38:20.160 we're you

01:38:20.840 know my

01:38:21.180 group

01:38:21.380 children's

01:38:21.760 health

01:38:21.900 defense

01:38:22.240 is fighting

01:38:22.760 a lawsuit

01:38:23.340 in front

01:38:23.780 of FCC

01:38:24.260 so we

01:38:24.920 have a

01:38:25.220 woman 0.99

01:38:25.560 who's

01:38:26.100 an

01:38:26.220 Israeli

01:38:26.820 attorney

01:38:28.180 she used

01:38:28.940 to be

01:38:29.340 she used

01:38:29.880 to work

01:38:30.160 for the

01:38:30.400 Israeli

01:38:30.720 defense

01:38:31.140 forces

01:38:31.800 and their

01:38:32.160 intelligence

01:38:32.680 unit

01:38:33.140 she was

01:38:34.740 doing all

01:38:35.500 of that

01:38:35.860 she was

01:38:36.240 completely

01:38:36.840 surrounded

01:38:37.440 by cyber

01:38:38.320 warfare

01:38:38.760 electronic

01:38:39.560 equipment

01:38:40.140 all day

01:38:40.620 and she

01:38:40.960 was fine

01:38:41.380 with it

01:38:41.660 and one

01:38:42.180 day

01:38:42.600 it just

01:38:43.500 leveled

01:38:44.080 her

01:38:44.280 and from

01:38:44.760 then on

01:38:45.280 any time

01:38:45.880 she gets

01:38:46.180 even near

01:38:46.780 the cell

01:38:47.200 phone

01:38:47.400 she gets

01:38:47.780 sick

01:38:48.100 she came 0.99

01:38:49.620 into my

01:38:50.060 house

01:38:50.380 this is why

01:38:50.820 I did

01:38:51.220 it

01:38:51.480 okay

01:38:51.780 because I

01:38:52.720 got seven

01:38:53.200 kids

01:38:53.660 and she

01:38:55.080 came into

01:38:55.480 my house 1.00

01:38:56.280 shit I think 1.00

01:38:56.780 you had six 0.99

01:38:57.160 kids when this

01:38:57.600 podcast started

01:38:58.300 I did but you

01:38:58.820 know I'm married

01:38:59.640 Cheryl and she 0.95

01:39:00.420 has a kid

01:39:00.820 she has more

01:39:01.320 no no you do

01:39:01.900 yeah she does

01:39:02.860 I met her

01:39:03.520 kid beautiful

01:39:04.060 kid

01:39:04.440 so um

01:39:05.480 anyway

01:39:06.760 she came to

01:39:08.480 my house and

01:39:09.060 she said you

01:39:09.600 have and she's

01:39:11.240 so sensitive to

01:39:12.280 it she can tell

01:39:13.300 different parts of

01:39:14.080 the house in

01:39:14.580 different regions of

01:39:15.320 each room where I

01:39:16.320 have and the

01:39:17.440 other thing is I

01:39:18.040 could check her

01:39:18.640 story

01:39:19.120 because I

01:39:21.080 got a meter

01:39:21.620 she got a

01:39:22.360 game of the

01:39:22.760 meter and

01:39:23.680 then she

01:39:24.040 said follow

01:39:24.500 me around and

01:39:25.060 I will tell

01:39:25.880 you where

01:39:26.680 it's hot

01:39:27.180 where you

01:39:27.600 and she

01:39:28.540 can go to

01:39:29.020 any part of

01:39:29.600 my house

01:39:30.080 and say

01:39:30.460 this is

01:39:31.400 like killing

01:39:32.640 me right 0.99

01:39:33.100 here and

01:39:33.480 I'll turn

01:39:33.880 on it on

01:39:34.540 the meter

01:39:35.100 and it

01:39:35.340 goes off

01:39:35.800 the chart

01:39:36.260 she came

01:39:37.680 into my

01:39:37.960 bedroom

01:39:38.440 and it

01:39:39.820 was just

01:39:40.400 you know

01:39:41.020 it was

01:39:42.100 wild dirty

01:39:43.160 electricity

01:39:43.680 everywhere and

01:39:44.520 particularly next

01:39:45.220 ahead of my

01:39:45.740 bed and I

01:39:46.280 said so at

01:39:47.400 that point I

01:39:48.340 was like okay

01:39:49.120 what is it

01:39:49.800 going to cause

01:39:50.440 let's do it

01:39:51.560 and so we

01:39:52.580 put one room

01:39:53.640 where you

01:39:56.160 know where

01:39:57.040 there's not

01:39:57.420 and I go in

01:39:58.100 that room and

01:39:58.580 I can sleep at

01:39:59.200 night and I

01:40:00.160 you know I

01:40:00.520 go right to

01:40:01.120 sleep and I

01:40:02.040 have never been

01:40:02.540 able to sleep

01:40:03.100 in my life

01:40:03.700 I've kicked

01:40:04.420 the sheets for

01:40:05.040 hours and

01:40:06.040 look it's hard

01:40:06.620 to sleep when

01:40:07.040 there's a lot

01:40:07.360 to defend out

01:40:08.000 there you know

01:40:08.540 it really is

01:40:09.600 though when

01:40:10.260 you have a

01:40:10.540 lot in your

01:40:10.880 soul to defend

01:40:11.560 what was that

01:40:12.080 question that

01:40:12.480 came up from

01:40:12.840 that young

01:40:13.140 lady Nick

01:40:13.580 okay let's

01:40:16.240 answer the one

01:40:16.560 that came up

01:40:16.860 with that young

01:40:17.320 he had the

01:40:17.960 child and he

01:40:18.520 said what

01:40:18.760 would you

01:40:18.980 do that

01:40:19.920 first one you

01:40:20.360 showed me when

01:40:20.720 I walked in

01:40:21.240 if that's okay

01:40:21.840 the guy who

01:40:23.420 looked like he

01:40:23.740 was almost

01:40:24.160 was he from

01:40:25.060 Salt Lake

01:40:25.640 hey Theo this

01:40:32.200 is Randy Rally

01:40:33.200 from Salt Lake

01:40:34.380 City Utah

01:40:35.120 hey I just

01:40:36.900 had a question

01:40:37.460 for Robert

01:40:38.580 Kennedy I just

01:40:39.700 wanted to know

01:40:40.380 I've heard him

01:40:41.300 say that there

01:40:42.020 are no safe

01:40:43.240 vaccines out

01:40:44.340 there so if

01:40:45.960 he had a

01:40:47.320 newborn right

01:40:48.220 now would

01:40:49.320 he vaccinate

01:40:49.980 that child

01:40:50.740 would he be

01:40:51.780 selective about

01:40:52.540 the vaccines

01:40:53.280 that he gives

01:40:54.560 that child or

01:40:55.480 would he just

01:40:56.580 forego any

01:40:58.420 vaccines at

01:40:59.400 all I

01:41:00.600 appreciate the

01:41:01.300 input I

01:41:02.300 appreciate the

01:41:03.180 information and

01:41:05.300 love the show

01:41:06.020 man gang gang

01:41:07.100 gang bro

01:41:07.680 that's a good

01:41:09.160 question so I

01:41:09.940 you know I

01:41:10.460 don't give people

01:41:11.320 advice on what to

01:41:12.320 do because I'm

01:41:12.800 not a doctor

01:41:13.420 but I would

01:41:14.600 tell you what

01:41:15.280 I would do

01:41:15.860 I fully

01:41:16.520 vaccinated all 0.87

01:41:17.280 my kids

01:41:17.900 and I also

01:41:21.660 took the flu

01:41:22.260 vaccine every

01:41:23.420 year you know

01:41:24.400 and you know

01:41:25.520 this thing I got

01:41:26.420 in my voice

01:41:27.000 which is called

01:41:27.440 spasmodic dystonia

01:41:28.640 I was actually

01:41:30.780 reading I'm doing

01:41:31.940 some litigation

01:41:32.800 against the

01:41:33.780 companies and

01:41:34.500 part of it I

01:41:35.160 had to look at

01:41:35.700 all the side

01:41:36.400 effects and

01:41:37.320 for the first

01:41:38.780 time about a

01:41:39.420 month ago I

01:41:41.820 was looking

01:41:42.320 through you

01:41:42.780 know when you

01:41:43.240 look at the

01:41:43.820 side effects that

01:41:44.680 they publish on

01:41:45.420 the manufacturer's

01:41:46.240 insert of the

01:41:46.840 vaccine there you

01:41:48.100 know they're some

01:41:48.760 of them are pages

01:41:49.420 long and they'll

01:41:50.140 have you know

01:41:50.780 60 or 70

01:41:51.980 injuries and one

01:41:54.080 of the top ones

01:41:54.800 of the flu vaccine

01:41:55.660 was spasmodic

01:41:56.540 dystonia which is

01:41:57.460 what I got and I

01:41:58.260 was taking a flu

01:41:58.980 vaccine every year

01:42:00.180 at that point and

01:42:01.080 for years doctors

01:42:02.180 have said to me

01:42:02.820 what trauma did

01:42:04.680 you do because you

01:42:05.440 need a trauma to

01:42:06.340 trigger this I got

01:42:07.500 this when I was

01:42:08.080 42

01:42:08.560 and so for the

01:42:11.000 first time it

01:42:11.540 occurred to me that

01:42:12.120 this might be a

01:42:12.760 vaccine injury my

01:42:13.760 kids are all

01:42:15.780 healthy robust

01:42:17.000 tall even a couple

01:42:17.920 of them boys are

01:42:18.400 pretty tall yeah

01:42:19.240 they're uh I have

01:42:21.260 one that's uh one

01:42:22.440 kid you barely see

01:42:23.200 a couple that are

01:42:23.480 six foot five

01:42:24.260 barely see the

01:42:24.880 one kid and um

01:42:27.560 but you know

01:42:30.100 they have a severe

01:42:31.520 peanut allergies

01:42:32.420 we have asthma we

01:42:34.440 have um ADHD we

01:42:36.620 have all of the you

01:42:37.900 know the stuff

01:42:38.560 that is associated

01:42:39.600 with that generation 0.71

01:42:41.880 born after 1989 the

01:42:43.660 vaccine generation so 1.00

01:42:44.940 I here's what I

01:42:46.680 would will tell you

01:42:47.620 there's I would

01:42:49.140 never I if I could

01:42:50.620 go back I would

01:42:51.740 um unvaccinate all

01:42:53.520 my kids because I

01:42:54.340 think they did

01:42:55.060 suffer injuries um

01:42:57.080 I would never give

01:42:58.660 a kid a vaccine

01:43:00.240 that had aluminum

01:43:01.360 or mercury in it

01:43:02.680 so some of the flu

01:43:03.640 vaccines of mercury

01:43:04.760 sell about 13%

01:43:06.260 um and then there's

01:43:09.300 a lot of the

01:43:09.820 vaccines that have

01:43:10.560 aluminum and I

01:43:11.800 would really stay

01:43:12.820 away from those the 1.00

01:43:14.140 problem is that none

01:43:15.420 of the vaccines are

01:43:16.140 safety tested so

01:43:17.220 there's none of them

01:43:18.220 where you can say

01:43:19.180 that this vaccine is

01:43:21.060 going to avert more

01:43:22.180 problems than it's

01:43:23.020 causing I would do

01:43:25.220 your own research

01:43:26.180 look at the

01:43:28.300 ingredients of the

01:43:29.060 vaccine and ask

01:43:30.340 yourself if you want

01:43:31.280 those things in your

01:43:32.040 child's body and look

01:43:34.480 at the side effects

01:43:35.480 and ask yourself do I

01:43:36.980 want to take this risk

01:43:38.000 and remember this and

01:43:39.920 the according to

01:43:42.120 HHS fewer than 1% of

01:43:45.580 vaccine injuries are

01:43:46.660 reported so you have

01:43:48.800 to multiply what you

01:43:50.080 see on that list by

01:43:52.420 100 because we don't

01:43:53.400 know that there are

01:43:53.980 injuries from it

01:43:54.620 because people don't

01:43:55.660 know like my I never

01:43:56.920 reported my kids on

01:43:58.860 food allergies and

01:43:59.860 vaccine injuries but

01:44:00.900 now I recognize that of

01:44:02.740 course that's what they

01:44:03.480 are right and people

01:44:05.920 you know the doctors

01:44:07.760 are reluctant to

01:44:08.560 report them because if

01:44:09.560 you let's say you get

01:44:10.740 your shots the doctor

01:44:11.740 said that it's going to

01:44:12.400 be good for your your

01:44:13.580 child and your child

01:44:16.300 two days later or a

01:44:17.600 week later gets a

01:44:18.300 seizure or gets SIDS or

01:44:21.320 something else and you

01:44:22.220 go back and say could

01:44:23.380 it have been the

01:44:23.820 vaccines doctor will say

01:44:26.500 absolutely not because

01:44:27.800 he doesn't know he

01:44:28.860 there's no there's no

01:44:30.480 course in medical school

01:44:32.540 on vaccine injury it's

01:44:33.700 not taught they're just

01:44:34.780 taught the vaccines are

01:44:35.900 all good they never

01:44:36.940 hurt anybody and you

01:44:38.700 know they're necessary

01:44:39.740 well will they be taught

01:44:41.500 though down the road

01:44:42.320 because I mean or does

01:44:43.660 does big pharma influence

01:44:45.160 like what's taught at the

01:44:46.160 school as well big pharma

01:44:48.180 owns the journals and it

01:44:50.220 owns the medical schools

01:44:51.460 because the medical

01:44:52.400 schools their funding is

01:44:55.200 coming from those

01:44:55.840 pharmaceutical companies

01:44:56.800 because what the way it

01:44:58.460 works there's researchers

01:44:59.860 who are the teachers at

01:45:02.140 that medical school are a

01:45:05.460 lot of them are running

01:45:06.660 clinical trials for the

01:45:08.680 pharmaceutical companies

01:45:09.780 that's how they make

01:45:10.700 their side income right

01:45:12.080 and the medical school so

01:45:14.380 the pharmaceutical company

01:45:16.880 will say pay that doctor

01:45:18.560 let's say twenty thousand

01:45:19.580 dollars a patient you know

01:45:21.340 for the people that he's

01:45:22.760 experimenting on new

01:45:24.900 medication and the medical

01:45:28.360 school takes half of that

01:45:29.780 money as a as a you know

01:45:32.580 skims half of that money

01:45:33.980 off plus if the if that

01:45:37.940 product that that doctor is

01:45:39.820 working on actually makes it

01:45:43.080 to market the medical school

01:45:44.920 then can collect royalties on

01:45:46.560 it the medical schools are

01:45:48.940 making billions of dollars

01:45:51.060 from these companies and if

01:45:53.640 the medical school does

01:45:55.120 something that the company

01:45:56.160 doesn't like the company

01:45:58.000 stops giving it business

01:45:59.240 and so and so they you know

01:46:03.560 the companies the

01:46:04.660 pharmaceutical companies are

01:46:06.380 can dictate virtually every

01:46:09.540 aspect of you know of what

01:46:11.840 happens at that medical school

01:46:13.100 including the curriculum

01:46:14.220 it's money man it's the same as

01:46:16.280 with entertainment industry it's

01:46:17.540 like you know if they don't

01:46:19.360 like what you have to say

01:46:20.280 sometimes or what you're

01:46:21.420 thinking then they they don't

01:46:23.220 go your direction you know it's

01:46:24.820 like I don't know there's like

01:46:25.540 any contrary anything it's

01:46:27.060 contrarian I feel like uh it

01:46:29.580 seems suddenly becomes

01:46:30.840 conspiracy these days um does

01:46:34.740 that make any sense or no

01:46:35.700 that's uh you know I mean you

01:46:39.620 know it's the way you know some

01:46:41.340 of my favorite way to attack any

01:46:42.980 any any inconvenient truth by

01:46:45.820 just saying that it's a a

01:46:47.460 conspiracy theory yeah and but

01:46:49.400 it's like the number one thing

01:46:50.380 people go to now look at this

01:46:51.500 conspiracy theorist you know like

01:46:53.460 I have uh my I had a comedy

01:46:54.820 special I did a few years ago

01:46:55.820 that came out on Netflix and

01:46:56.800 they um just because of my

01:46:59.160 accent and stuff and I and I

01:47:00.520 have like this uh the somebody

01:47:03.160 wrote an article and it was

01:47:04.240 like if Trump hasn't found his

01:47:05.700 favorite comedian he'll love

01:47:06.900 this guy like and it was right

01:47:08.180 during the election like around

01:47:09.340 that time and it just like 0.97

01:47:10.680 fucking broke my heart because 0.86

01:47:12.280 like I've worked so hard like 0.99

01:47:13.600 12 years to get this comedy put

01:47:15.280 together and it's a sarcasm it's

01:47:17.360 all sarcasm and then you get to

01:47:19.480 this moment and then somebody

01:47:20.520 just labels you one way just 1.00

01:47:22.020 because they're fucking dumb and 1.00

01:47:23.980 don't want to be you don't want 1.00

01:47:25.080 to think or you know recognize 1.00

01:47:27.020 it just I don't know that shit 1.00

01:47:28.780 just fucking burns me sometimes 1.00

01:47:30.220 man how immediately somebody can 0.99

01:47:32.520 see you you know like they call

01:47:34.420 me anti-vax yeah but you're not

01:47:36.500 you're just for safety vats and

01:47:37.680 every time I say I'm not anti-vaccine

01:47:40.520 I mean I was listen I've been

01:47:42.180 trying to get mercury out of fish

01:47:45.040 well my mom made me 40 years and

01:47:46.740 nobody calls me anti-fish yeah you

01:47:49.880 know I I want to get the poison

01:47:52.020 out of the vaccines I'm not any

01:47:53.720 it's like I want I want to see

01:47:55.340 bells in automobiles it doesn't

01:47:57.020 mean I'm against cars yeah right

01:47:59.240 yeah but that it's a way to

01:48:00.700 marginalize you it's a way to

01:48:02.420 vilify you it's a way to to

01:48:04.460 justify censoring you by putting

01:48:07.920 you in that category he's anti-vax 0.98

01:48:10.020 he's crazy don't listen to him

01:48:11.860 don't let him on none of these 0.98

01:48:13.060 guys will let me on tv you know

01:48:14.980 Anderson Cooper there's no way in

01:48:18.680 the world they would ever allow

01:48:20.100 me on network tv and I'm your own

01:48:22.220 channel what you should tell me

01:48:24.200 how to do that oh I think I mean

01:48:26.280 yeah I mean I feel like you could

01:48:28.680 do it easily I think well it's

01:48:30.140 funny because when I you were

01:48:31.440 coming in two people who I love my

01:48:34.180 mom being one she said Theo this is

01:48:37.340 wonderful his group the children's

01:48:39.000 vaccine health defense has a great

01:48:40.440 email newsletter I read it all the

01:48:43.340 time it's called the defender yep

01:48:45.300 called the defender he has some

01:48:46.460 libertarian views I'm so happy to

01:48:48.080 have him that you get to have him

01:48:50.320 and then I said well make a video she

01:48:53.000 said I can't I'm working but I would

01:48:54.720 ask him the impetus behind the

01:48:56.440 formation of the children's health

01:48:57.620 defense other than his standing up for

01:48:59.220 the underdog yeah I mean you know the

01:49:02.560 children's health defense we do all of

01:49:04.920 the issues that I was talking about we

01:49:06.460 do fluoride we do pesticides you know

01:49:12.100 we did round up and then we you know we

01:49:15.520 we do vaccines and any exposure to

01:49:19.320 children well our issue is why is

01:49:22.900 acceptable that 54 percent of our kids

01:49:25.540 are sick we should have six percent top

01:49:29.700 that are sick that's what the background

01:49:31.740 rate is and why are we all walking 0.83

01:49:35.000 around saying this is normal yeah you

01:49:36.980 know why is it when I was a kid that

01:49:38.760 there were no kids with autism they say

01:49:41.780 one in ten thousand but I've never met

01:49:45.280 anybody who's 66 with full-blown off 0.97

01:49:47.500 god damn hell no dude it's you don't 0.94

01:49:49.380 see people we had the tism they called 0.98

01:49:51.060 it by us the tism when I was growing up

01:49:53.220 yeah well we didn't have it we didn't

01:49:55.140 know nobody knew it nobody knew why even

01:49:58.060 or ever heard the word autism till 1988

01:50:00.280 that's when rain man came out right oh

01:50:02.560 yeah he had but yeah but it wasn't real

01:50:04.920 what it's not what they call full-blown

01:50:07.200 autism it's more asperger's syndrome

01:50:09.300 yeah he had asperger's that's a good 1.00

01:50:10.660 point right because you can't get an

01:50:12.440 autism is non-verbal non-toilet train

01:50:17.040 head-banging stimming horrible gut aches

01:50:21.520 and that's half of the people who have

01:50:23.060 it so it's a million people and you don't

01:50:26.900 see you will never see somebody my age

01:50:30.340 66 walking around the mall a man with

01:50:33.160 diapers on and a football helmet and

01:50:35.480 banging his head non-verbal stimming and

01:50:38.960 engaging in these uh stereotypical

01:50:41.040 behaviors they don't exist trump

01:50:42.920 sometimes they're not locked somewhere

01:50:44.480 because there's no place to put them

01:50:46.040 that's a good point and by the way i was

01:50:48.580 raised on the spear tip of the movement

01:50:51.960 for rights and care for people with

01:50:54.160 intellectual disabilities my aunt unit

01:50:56.220 shrivers my godmother's founded special

01:50:58.700 olympics my cousin founded best buddies

01:51:00.920 i worked in the special olympics when i

01:51:03.800 was still called camp shriver like maria

01:51:06.640 shriver yeah she's right maria's mom

01:51:09.800 maria's my cousin oh wow you met arnold

01:51:13.300 schwarzenegger before yeah he's my

01:51:15.720 cousin-in-law of course yeah that's crazy

01:51:18.700 bro that's crazy i remember seeing true 0.53

01:51:21.760 lies remember that movie pretty good um

01:51:25.760 let me think of one more question do we

01:51:28.320 have any other good video questions that

01:51:29.640 come in nick has one yeah uh so you talked

01:51:31.960 about how like tony fauci he doesn't make

01:51:34.120 it 50 years in the industry without uh like

01:51:36.900 holding water for the companies who are

01:51:38.680 some like current politicians senators or

01:51:41.220 governors that you see out there who like

01:51:43.540 are really speaking truth and that are

01:51:46.060 someone to listen to that aren't being

01:51:47.660 are there any that you you feel like are

01:51:51.240 somewhat well you know there's only one guy

01:51:53.560 in congress at this point who is

01:51:57.540 who has stood up and he's a republican

01:52:01.460 congressman from florida named bill

01:52:03.740 posey and he is you know he is fantastic

01:52:09.580 and he understands he you know but he's

01:52:12.840 been he's been completely isolated by his

01:52:14.840 own party by the republicans in congress

01:52:16.720 they won't let him near any committees

01:52:18.220 and there you know there's a little the

01:52:22.580 senior scientist for cdc a guy called uh

01:52:26.580 bill uh bill thompson dr bill thompson who's

01:52:28.960 at cdc today and he's been there for 20

01:52:30.940 years

01:52:31.260 in 2014 he came forward and he said we've

01:52:36.040 been lying to the public about autism we he

01:52:39.000 he's the scientist who is the lead author on

01:52:42.200 virtually every study on autism and he said

01:52:44.100 we've been destroying the evidence the data

01:52:46.540 when it shows that children are getting

01:52:48.060 autism from vaccines

01:52:49.260 and in fact on the key study which is

01:52:52.460 called uh which is a study published in

01:52:55.020 pediatrics in 2004 and it's called the

01:52:57.680 de stefano study

01:52:58.740 he was one of the five co-authors and the

01:53:03.020 their boss frank de stefano when they found

01:53:05.440 out that black boys who got the mmr vaccine

01:53:08.660 on time

01:53:09.480 had 360 percent greater chance of getting

01:53:13.240 autism than and children who didn't get it

01:53:16.180 on time

01:53:16.720 and the five or the four co-authors were

01:53:22.200 ordered by de stefano to bring all the

01:53:24.140 evidence on black boys into a conference 0.69

01:53:26.960 room at cdc and then to destroy the evidence 0.98

01:53:29.580 in big garbage cans and this scientist um

01:53:34.240 came forward he tried to commit suicide

01:53:36.140 and then he came forward hired an attorney

01:53:38.720 and he said i want to be subpoenaed to

01:53:41.100 congress to talk about what's happening in

01:53:42.900 my agency

01:53:43.560 remember he's still at cdc this is not a

01:53:47.340 disgruntled employee

01:53:48.260 he's a guy who sticks to his story

01:53:51.600 he was transferred out of that division

01:53:54.740 the vaccine branch into another division

01:53:56.760 and but otherwise they leave him alone

01:53:59.680 and they gave him a 25 000 raise

01:54:02.620 you know they don't want him to leave because

01:54:04.860 when he leaves he's going to talk

01:54:06.300 and bill posey for the last six years have

01:54:10.960 been trying to subpoena him in front of the

01:54:12.780 committee and i talked to um uh to

01:54:16.040 jason chaffetz who is the head of the

01:54:18.900 government oversight committee a republican

01:54:20.500 from utah he promised

01:54:22.060 to subpoena thompson and then he wouldn't do it

01:54:25.240 i talked to um trey gowdy who replaced him

01:54:29.680 he wouldn't do it i talked to daryl isa who i think is a

01:54:32.180 congressman from this district

01:54:33.540 and daryl isa promised to hold hearings

01:54:37.700 and then quit i i said to him after he quit

01:54:40.280 i said i called him and i said why did you do

01:54:43.480 that and he said because i got calls

01:54:45.740 from the speaker of the house and the

01:54:49.300 head of our party saying that if i conducted

01:54:51.940 those hearings not only would i lose my

01:54:54.140 chairmanship but i would be thrown off the

01:54:56.660 committee

01:54:56.980 and so you know the pressure they're getting

01:55:00.380 from the not just the democratic party which is terrible on this issue but the

01:55:04.860 republican party they've all been bought off

01:55:06.860 oh and that's a sad thing was did was there any was there ever a chance that

01:55:11.300 trump was like this this alternate piece that could have brought down the whole

01:55:14.940 system yes and you know when i first met i because i wanted trump and bernie to be on

01:55:20.460 the same ticket that's what i wanted because then i thought why do vi why do you just get to pick

01:55:25.740 your vice president why don't you have to why don't you that's what they used to do it was a

01:55:31.020 separate election for was it really yeah yeah because then why don't you have a different type

01:55:35.040 of person as your vice president then you have to argue about everything you know yeah

01:55:38.940 it seemed easy to pick some guy well that's not how we do it so but doesn't the president just pick

01:55:46.460 the vice president he picks them yeah well they they have to be nominated by the party oh i see

01:55:53.740 okay oh uh but anyway going back to that um yeah what i think a lot of people thought that trump

01:56:01.260 was going to be okay there's this huge cyst this clock that's running and i'm going to throw this

01:56:05.900 fucking wrench into it and watch it crumble was that ever a possibility yeah i think it was a 0.92

01:56:12.860 possibility for a short time but i think what i heard was that after we um we left the um that 0.96

01:56:27.660 there were people within the administration including hope hill kelly ann conway and i think

01:56:36.060 one of their husbands is a pharmaceutical lobbyist and um and rents previous who had just told him

01:56:45.020 you can't do it and then they took the money from pfizer and you know we were alive for a while through

01:56:51.820 we were alive from january when he takes the oath of office through march and everybody in the agencies

01:56:59.020 was terrified of us we were going to the agencies and we were questioning them and making presentations

01:57:05.900 and having the boys with france francis collins and then at one point mid-march you know the lobbyists

01:57:15.420 came in azar and gottlieb and all those guys came in and we got a note from francis collins just basically

01:57:22.140 you know it was like a big bird like you know we don't have to listen to you anymore so stop talking

01:57:28.380 to us and now and then the white house went dark do you feel like with uh with uh biden uh that with

01:57:37.820 the new um president or well first of all do you feel like the election was fair do you feel like they

01:57:42.540 will have any what do you feel like the outcome will be from that do you feel like i think you know

01:57:46.060 you know listen they'll go through the judicial process my feeling is that um that the courts are

01:57:52.860 gonna uphold the election um i don't think you know i don't have any doubt about that the in terms of

01:58:00.940 biden's you know biden has made a lot of statements that are very disheartening about you know mandating

01:58:08.540 masks you know really coming down hard on the lockdown really you know it's become part of

01:58:15.980 the weirdly of the liberal ideology of just you know getting rid of civil rights

01:58:21.900 and you know religious exemptions so all the rights of the first amendment the censorship

01:58:26.540 they're supporting that you know the religious independence they're supporting the end of jury

01:58:30.540 trials which is um you know were abolished for vaccines um and and and public assemblies and the

01:58:39.020 right to petition politicians and all of these things that have been been part of the liberal tradition

01:58:44.060 in western democracy but particularly in the united states the the liberals the traditional liberals

01:58:52.700 um in my party are have just walked away from them in the weirdest most surrealistic way now is there

01:59:01.260 any do i have any hopes for biden um biden has appointed to his covid committee a number of hacks who are just

01:59:11.900 part of vauci's network but he also brought in david kessler who is the used to be the attorney general

01:59:20.620 i mean the surgeon general and david kessler is the one person that i think gives me hope because he is

01:59:27.980 an independent thinker he he's an enemy of pharma he understands that you know that there's a problem

01:59:37.340 with the vaccines and so i think you know for those of people in this audience who um want to uh

01:59:46.700 encourage that that you know he's a guy that people should should write letters to and should

01:59:52.620 you know should contact and say express all of us need to express hope in kessler that a lot of people

02:00:00.380 are are hoping that he will break with the orthodoxy that i think is taking us down this

02:00:07.100 dark road in our country it's getting dark man here's a beautiful young fellow right here who has

02:00:13.100 something to ask you what up theo what up mr kennedy that feels so cool to say uh matt from north carolina

02:00:20.620 here just sitting here at work like an american shout out to theo for that hitter appreciate it

02:00:26.300 nice merch man that's a beautiful one so my question for robert personally i'm a huge advocate

02:00:32.220 and fan of uh jfk uh i'm sure he was probably the coolest uncle ever um but my question is a little

02:00:40.060 bit personal like what are the last moments or memories or maybe your favorite moments and memories

02:00:45.820 that you had of uh uncle johnny um appreciate you taking the time for my question much respect gang gang

02:00:53.180 you know i'm sure you always get a question about your uncle huh um you know i listen my i have a

02:01:01.420 lot many many great memories of my uncle i mean i think probably one of my what did y'all eat did y'all

02:01:09.100 eat what clam chowder did you really of course we yeah we did eat a lot of clam chowder man that's nice

02:01:17.980 um but uh you know boston beans but clam chowder um hot dogs you think hot dogs well hot dogs popular

02:01:26.780 when you were a kid yeah of course hot dogs hamburgers um i when i was i think eight or nine

02:01:36.220 years old i wrote a letter to my uncle that i still have um and asking him because i was worried about

02:01:45.500 the environment about pollution and i wrote him a letter um saying that i wanted to talk to him

02:01:52.140 about it and he he had me come into the oval office and i spent uh a morning with my brother the night

02:02:00.860 before i caught a salamander big spotted salamander that'd come out you know in the spring to of course

02:02:06.860 you know what they are right yeah oh yeah i know what they are yeah like a land snake

02:02:10.620 so um and i brought him one of those and i went my my home had just switched from well water to

02:02:20.300 municipal water and you're upset about that i was because the chlorine killed the salamander

02:02:26.700 and but i was in denial about about him being dead and i brought him in a vase

02:02:34.380 and i and gave him to my uncle and he was poking him with a pen i have these pictures too and saying you

02:02:39.660 know i don't think he looks well and i was saying no he's just sleeping he's okay and then he took me

02:02:46.860 out and we released him in the rose garden fountain um but he uh he arranged ultimately for me to meet

02:02:54.060 with rachel carson who came to our home and i and his board i mean in in virginia at hickory hill

02:03:01.420 and had dinner at our house and um and also with stewart udall who was the secretary of the interior

02:03:07.020 and so that was pretty cool but you know he came to our house he rode we rode every morning um horses

02:03:14.860 my dad would take us riding every morning and my uncle sometimes would come um i went to the

02:03:22.940 hearings when they were um when they had the mafia when they had sam giancana jimmy hoffa

02:03:30.940 um all the big mafios uh my dad this before the white house when he was still in the senate

02:03:37.900 and i went attended those hearings when i was a little kid and you know we looked at all these

02:03:42.940 gangsters and we sat in the front row and um and then you know so our family was a was a very very

02:03:51.340 close family and um and they landed with the helicopters every weekend he would after he

02:03:59.580 landed he would go up and he would kiss my grandpa and they would talk my grandpa had had a stroke by

02:04:06.220 then he would talk to my grandpa and tell him what happened that week then he would come down

02:04:11.740 from the porch and he we would all pile into a golf cart that was a souped up golf golf cart

02:04:17.900 with 20 kids on it and he would give us a ride around the compound at very fast speeds and so

02:04:25.740 yeah it was a typical uncle behavior huh yeah it was uh it was a really it was a magical um

02:04:33.020 um god it sounds like it we used to ride behind the mosquito truck and get that free gas 0.91

02:04:37.980 yeah it would come off of it you know when you spray for mosquitoes yeah the ddt oh dude nose up bro we

02:04:43.900 just literally be just biking until we couldn't even take anymore you know i mean i wouldn't see

02:04:49.260 i didn't see a mosquito for about six years we would have war games behind them because it was you know 0.99

02:04:53.820 that fog that stayed on and hugged the ground yeah it was good and uh we thought it was good for us

02:05:00.060 back then yeah we sure did it was a different time um battling the uh the environment on the outside of

02:05:08.140 us and on the inside of us uh bobby thanks for coming in today i really appreciate it thanks

02:05:13.420 for having me yeah anything else nick any other questions um yeah thank you so much man appreciate

02:05:19.180 it good to see you man yeah you too always a pleasure man always you're always welcome back

02:05:24.060 now i'm just floating on the breeze and i feel i'm falling like these leaves i must be cornerstone

02:05:34.860 oh but when i reach that ground i'll share this peace of mind i found i can feel it in my bones

02:05:43.660 but it's gonna take a little time for me to set that parking brake and let myself unwind

02:05:56.460 shine that light on me

02:06:02.540 i'll sit and tell you my stories

02:06:05.500 shine

02:06:08.380 i will find a song i will sing it just for you

02:06:23.100 now i've been moving way too fast on the runaway train with a heavy load of my

02:06:29.100 hands

02:06:33.660 and these wheels that i've been riding on they're once so thin that they're damn they're gone 0.59

02:06:43.100 ladies and gentlemen i'm jonathan kite and welcome to kite club a podcast where i'll be

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02:06:53.260 partner the answer may shock you sometimes i'll interview my friends sometimes i won't

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02:07:05.980 a lot of people are talking about kite club i've been talking about kite club for so long longer

02:07:11.580 than anybody else so great hi sweetheart he's a deal anyone who doesn't listen to kite club 0.96

02:07:19.260 is a dodgy bloody wanker jermaine hi i'll take a quarter pounder with cheese and a mcflurry 0.95

02:07:26.140 sorry sir but our ice cream machine is broken 0.99

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This Past Weekend with Theo Von - November 12, 2020

E306 Robert F Kennedy Jr

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