This Past Weekend with Theo Von - November 12, 2020


E306 Robert F Kennedy Jr


Episode Stats


Length

2 hours and 8 minutes

Words per minute

165.609

Word count

21,199

Sentence count

656

Harmful content

Misogyny

15

sentences flagged

Toxicity

116

sentences flagged

Hate speech

44

sentences flagged


Summary

Summaries generated with gmurro/bart-large-finetuned-filtered-spotify-podcast-summ .

In this episode, environmental attorney, author, and president of the Children s Health Defense, Dr. Michael Bloomberg talks about the importance of pigeons and their impact on our world. He also talks about how pigeons have been around for a long time and how important it is to keep them alive.

Transcript

Transcript generated with Whisper (turbo).
Misogyny classifications generated with MilaNLProc/bert-base-uncased-ear-misogyny .
Toxicity classifications generated with s-nlp/roberta_toxicity_classifier .
Hate speech classifications generated with facebook/roberta-hate-speech-dynabench-r4-target .
00:00:00.000 Today's episode is brought to you by Magic Mind.
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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...
00:43:06.720 Are you listening?
00:43:07.500 Can you hear?
00:43:07.860 I just want to make sure
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00:43:10.680 because if you're not,
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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
01:15:25.620 website has
01:15:26.220 been recently
01:15:26.980 revamped
01:15:27.940 remodel
01:15:28.860 redone
01:15:29.820 and it's
01:15:32.000 been done
01:15:32.900 really well
01:15:33.800 there has
01:15:34.960 never been a
01:15:35.440 better time
01:15:35.820 to step up
01:15:36.320 your web
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01:15:37.220 that's why
01:15:38.240 I'm excited
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01:15:51.600 for the cost
01:15:52.480 of your old
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01:15:53.540 look my
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01:15:56.000 we have a
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01:15:57.600 we have people
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01:15:59.960 to help us
01:16:00.560 adjust it
01:16:01.220 there was
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01:16:02.860 no setup
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01:16:05.440 that's right
01:16:06.820 modify
01:16:07.180 literally just
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01:16:11.800 it was
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01:16:14.340 modify
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01:16:30.280 that's right
01:16:30.760 there's no
01:16:31.660 big down
01:16:32.060 payment
01:16:32.360 modify
01:16:32.860 last
01:16:33.420 website
01:16:33.920 is only
01:16:34.320 $249
01:16:35.160 to start
01:16:36.020 and $249
01:16:37.440 a month
01:16:38.000 and they
01:16:38.720 do 95%
01:16:39.660 of the
01:16:39.880 work
01:16:40.080 for you
01:16:40.500 that's
01:16:41.140 right
01:16:41.360 get the
01:16:42.200 relief
01:16:42.440 of an
01:16:42.680 evergreen
01:16:43.100 website
01:16:43.620 with the
01:16:44.240 convenience
01:16:44.680 of having
01:16:45.140 a professional
01:16:45.860 design team
01:16:47.320 assigned to your
01:16:47.820 account to
01:16:48.220 handle all
01:16:48.580 your ongoing
01:16:49.080 website
01:16:49.500 needs
01:16:49.920 you can
01:16:52.100 check it
01:16:52.460 out
01:16:52.720 go to
01:16:53.260 modify
01:16:53.960 modiphy.com
01:16:55.940 slash
01:16:56.440 theo to
01:16:57.160 schedule your
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01:16:58.200 today
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
02:06:48.140 sharing thoughts on things like current events stand-up stories and seven ways to pleasure your
02:06:53.260 partner the answer may shock you sometimes i'll interview my friends sometimes i won't
02:06:59.660 and as always i'll be joined by the voices in my head you have three new voice messages
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
02:07:30.940 i think tom hanks just butt dialed me anyway first rule of kite club is tell everyone about kite club
02:07:37.100 second rule of kite club is tell everyone about kite club third rule like and subscribe wherever you
02:07:43.820 listen to podcasts or watch us on youtube yeah and yes don't worry my brad pitt impression will get better