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Speaker 1: Up next The Truth with Lisa Mouth part of the game.

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Speaker 1: So this is actually the fiftie episode of the Truth

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Speaker 1: with Lisa Booth. I launched this podcast about a year ago,

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Speaker 1: and the reason why I wanted to do it is

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Speaker 1: I got so frustrated during COVID. I felt like the

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Speaker 1: majority of the people on TV and in the media,

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Speaker 1: we're pushing fear, They're pushing lockdowns, They're pushing the scariest

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Speaker 1: information possible. I mean, we weren't hearing stories about people

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Speaker 1: surviving COVID, we weren't hearing stories about what the true

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Speaker 1: fatality rate was. We're just hearing fear. And so I

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Speaker 1: wanted to create a space where we can have honest

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Speaker 1: conversations that maybe you don't get in other places like

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Speaker 1: in TV or what you read in the news. And

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Speaker 1: I wanted to provide an opportunity to bring on experts,

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Speaker 1: to bring on people who are really interesting, to bring

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Speaker 1: on people who have great insight and some of the

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Speaker 1: big things that are going on in our country. And

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Speaker 1: you know, we live in this era of censorship. I mean,

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Speaker 1: you look at what the left is trying to do,

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Speaker 1: you look at the media is trying to do, You

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Speaker 1: look at what big tech is trying to do. I mean,

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Speaker 1: look at how much they try to shut down information

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Speaker 1: about COVID. There's a time where you couldn't even say

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Speaker 1: that COVID likely came from the Wuhan lab. You couldn't

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Speaker 1: say that. You would get censored. Big tech would censor you.

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Speaker 1: Twitter could kick you off, YouTube could shut down and

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Speaker 1: take down your video. The media would call you a

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Speaker 1: conspiracy theorist. Even the same thing on vaccines, Look, we've

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Speaker 1: got vaccines that were produced in record time. Right, most

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Speaker 1: vaccines have five, five to ten years of safety data.

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Speaker 1: These have less than a year. But we can't ask

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Speaker 1: questions what kind of world is that? How do you

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Speaker 1: get to the truth and that sort of environment. And

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Speaker 1: it's not just the left, it's what we've got is

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Speaker 1: we've got government, We've got the people in charge pushing this.

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Speaker 1: The media comes in and it just pushes that prop aganda,

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Speaker 1: pushes that group to think, and then big tech comes

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Speaker 1: in and censors anyone that dare raises questions. So I

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Speaker 1: think this podcast The Truth with Lisa Booth is so

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Speaker 1: important because what we are doing is having those conversations

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Speaker 1: they don't want us to have. We're getting to the

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Speaker 1: truth in an era where they're trying to change their truth.

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Speaker 1: They're trying to rewrite what what words mean. I mean,

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Speaker 1: the CDC changed the definition of what it means to

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Speaker 1: be vaccinated. How insane is that? You've got the media

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Speaker 1: telling us that girls could be boys and boys can

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Speaker 1: be girls. We live in a crazy world. So that's

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Speaker 1: why I wanted to do this podcast, and we've done

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Speaker 1: some incredible things with it. I mean, my god, I've

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Speaker 1: been able to interview President Trump twice. President Trump, he

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Speaker 1: was my first guest. How cool is that? The legendary

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Speaker 1: John Voit, legendary actor who was incredibly nice. I I

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Speaker 1: so enjoyed that conversation with him, and he had so

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Speaker 1: much wisdom and kindness and just such an interesting conversation

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Speaker 1: we had with him. I recently interviewed Larry the Cable Guy.

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Speaker 1: I learned a lot from him, you know, just talking

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Speaker 1: about could his persona could Larry the Cable Guy? Could

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Speaker 1: that that blue collar stick? Could that work? Now in

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Speaker 1: this era of wokeness and progressivism, I've been able to

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Speaker 1: interview people like Maximo Averis and talk about communism being

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Speaker 1: in America soil, American soil, someone who escaped communism, telling

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Speaker 1: us to be careful because communism has infected all of

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Speaker 1: our institutions. That was such a powerful conversation I was

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Speaker 1: able to have with him. I've interviewed Tucker Carlson, the

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Speaker 1: King of Cable Knew, someone who I deeply, deeply respect.

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Speaker 1: I think he's the best in the business. He's so smart.

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Speaker 1: That was incredible to me to be able to interview

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Speaker 1: someone like him. I've been able to interview doctors throughout

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Speaker 1: COVID as well, to get you the truth about that

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Speaker 1: the things that you can't hear necessarily on TV or

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Speaker 1: elsewhere in the media. I talked to Dr Pierre Corey

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Speaker 1: about I ever metten. I talked about vaccines, truthful information

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Speaker 1: about vaccines with Dr Martin Colder. If he gave us

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Speaker 1: a really unbiased, objective viewpoint answered all my questions. I

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Speaker 1: think I talked to him for like over an hour,

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Speaker 1: and he was kind enough to take the time to

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Speaker 1: bring us the truth, to bring us the information that

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Speaker 1: we needed to hear. I gotta talk to Dr Scott Atlas,

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Speaker 1: who fearlessly has taken on people like Dr Fauci, Dr

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Speaker 1: Deborah Burks, just really exposing the COVID Task Force for

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Speaker 1: for being really worthless and for bringing us to the

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Speaker 1: truth about COVID as well the things they didn't they

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Speaker 1: didn't tell us how damaging lockdowns truly were to society.

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Speaker 1: Also got to talk to j DR J Baticharia about

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Speaker 1: Omicron as well. We had the first post interview with

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Speaker 1: Betsy of Bas since leaving UH the White House's Education Secretary.

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Speaker 1: I mean, just so many incredible We've talked to athletes

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Speaker 1: as well, like Jonathan Isaac. I mean, just so many

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Speaker 1: incredible interviews, and it's been such an honor to get

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Speaker 1: to the truth with you, to dig in on some

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Speaker 1: of these critical issues. What really happened on January six

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Speaker 1: with Julie Kelly. I mean, this has been so much fun,

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Speaker 1: and it's been such an honor to be on this

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Speaker 1: journey with you, to learn with you, to talk to

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Speaker 1: some of these incredible people who I deeply respect, who

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Speaker 1: have great insight, who are so smart, and to learn

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Speaker 1: from them. And so I just wanted to let you

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Speaker 1: know that this podcast is continuing. It's just going to

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Speaker 1: be continuing with a different network in a few weeks,

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Speaker 1: So just you know, sit tight, stay tuned, don't unsubscribe.

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Speaker 1: You'll get an update when the next episode is out.

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Speaker 1: So we are going to be re launching in a

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Speaker 1: few weeks. So the podcast is not ending, it's not

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Speaker 1: seeing ever, See you next time and see you soon.

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Speaker 1: And we're probably gonna be going to twice a week,

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Speaker 1: so that's going to be exciting as well, to give

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Speaker 1: you a little bit more content with more guests. So

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Speaker 1: I'm super excited about that. And so for for this

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Speaker 1: week's episode, it is just a little bit different. We're

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Speaker 1: gonna go through some of my favorite interviews I've done,

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Speaker 1: and now they're all my favorite interviews. I've interviewed some

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Speaker 1: credible people. But John, my producer, has a wife, he's

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Speaker 1: got kids, he's got other things that he's doing, so

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Speaker 1: I felt, you know, we'll tailor it down, you know,

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Speaker 1: narrow it down a little bit for him. But so

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Speaker 1: we're gonna hear from my interview with Tucker Carlson, with

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Speaker 1: President Trump, with Dr Scott Atlas, and with Maximal of

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Speaker 1: Veris and again I will talk to you guys very

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Speaker 1: very soon, just a few weeks from now, launching with

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Speaker 1: a different network. It's going to be huge and twice

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Speaker 1: a week, stay with us. Hey, everyone, Welcome to the

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Speaker 1: Truth with Lisa Booth. This is my first podcast, my

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Speaker 1: first episode, and I have a very very special guest.

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Speaker 1: Do you miss me at a lot of things going on?

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Speaker 1: That's right, President Donald J. Trump is joining me, Mr President. So,

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Speaker 1: I was thinking today about preparing for this interview, and

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Speaker 1: it dawned on me that I am starting with the

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Speaker 1: biggest name I could possibly get, So it's pretty much

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Speaker 1: downhill from here. Well, I think you're doing so great anyway.

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Speaker 1: And when you asked, I want to do it with you,

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Speaker 1: I turned down a lot of people, but I want

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Speaker 1: to do it with you. I just appreciate everything you've done.

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Speaker 1: You're really a professional, great professional, and people have a

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Speaker 1: lot of respect for your less So thank you very much.

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Speaker 1: It's an honor. You know, I've been thinking about it.

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Speaker 1: You know a lot of your supporters right now, you know,

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Speaker 1: we feel like no one's fighting for us in Washington,

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Speaker 1: d C. You know, we're being maligned by the media.

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Speaker 1: I aligned by the left. Big Tech has shut off

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Speaker 1: your ability to communicate with your supporters. What's your what's

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Speaker 1: your message to them right now? What do you want

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Speaker 1: to tell them? Well, it is a very unfair situation.

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Speaker 1: They go after us at every level in the city,

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Speaker 1: and the states go after us. You know, I wanted

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Speaker 1: the federal and you know, all these Muller investigations and

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Speaker 1: all of the nonsense that went on. It turned out

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Speaker 1: that it was Hillary Clinton. Uh, it turned out with Russia,

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Speaker 1: you know, Russia, Russia, Russia and Ukraine, and we the

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Speaker 1: impeachment hoax number one and number two. And you know,

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Speaker 1: you do all that and then you have the state

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Speaker 1: and local stuff they send it into them. It's a disgrace.

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Speaker 1: I mean, honestly, it's a disgrace. It couldn't happen to

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Speaker 1: a Democrat. And yet we keep fighting and we were

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Speaker 1: I think we're very effective. We had a great election

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Speaker 1: and we won and they took it away. They they

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Speaker 1: it was a rigged election because as you know, we

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Speaker 1: won the first one, but we did much better in

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Speaker 1: the second one. So people always say, oh, what do

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Speaker 1: you mean you did better? I said, we did much

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Speaker 1: better almost sevention votes and that's the votes that we

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Speaker 1: know about. And it was really a terrible thing. I mean,

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Speaker 1: it was really an unfair thing to the people that

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Speaker 1: support us. So what's happened has been Uh, you know,

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Speaker 1: people have seen some silence. But actually, if you take

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Speaker 1: a look at what's happened over the last period of time,

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Speaker 1: we're sending out releases, they're getting picked up much better

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Speaker 1: than any tweet. And I'm doing things having to do

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Speaker 1: with putting our own platform out there that you'll be

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Speaker 1: hearing about soon. But even more importantly, any anything you

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Speaker 1: can tell me about that, well, I'll be telling you

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Speaker 1: pretty soon. But but you know, when I put out

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Speaker 1: a statement, it's much more elegant than a tweet, and

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Speaker 1: I think it gets picked up better. You're seeing that

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Speaker 1: we put out statements from the President, etcetera, etcetera, and

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Speaker 1: it's getting picked up by everybody. Everything you say we say.

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Speaker 1: So if I endorsed somebody, because we're endorsing some very

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Speaker 1: good people, and if I endorsed somebody, it gets tremendous

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Speaker 1: pick up. I would almost say better than a tweet.

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Speaker 1: Now it goes on Twitter, because you know, thousands of

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Speaker 1: people pick it up and they put it on Twitter,

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Speaker 1: and they put it on Facebook, they put it all

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Speaker 1: over the place. So we're really having the voices. I think.

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Speaker 1: I think it's been very big. I've only started doing

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Speaker 1: that over the last three or four weeks. But it's

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Speaker 1: the voices out there. I think, maybe in a certain way,

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Speaker 1: maybe as big as ever. And I've been reading the

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Speaker 1: you know, the releases that you've been putting out. But

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Speaker 1: you know you've mentioned earlier about sort of the control,

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Speaker 1: the way that the left goes after conservatives. But it's

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Speaker 1: kind of scary right now because they essentially control every

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Speaker 1: institution in the country. You know, they've got the federal

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Speaker 1: government right now, they control big Tech, they control the corporations,

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Speaker 1: they're basically controlling the flow of information to the American people.

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Speaker 1: You know, at one point, we had the House, you know,

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Speaker 1: we had the Senate, we had you in the White House.

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Speaker 1: You know, why didn't we reign in big tech when

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Speaker 1: we had that chance. Well, they should have done it

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Speaker 1: Section two thirty. They should have done it. They didn't

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Speaker 1: do it. And now all of a sudden, the Democrats

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Speaker 1: are being in their protector. You know, they were never

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Speaker 1: their protector. They hated big tech. But now they have

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Speaker 1: the protector because you know, they figured they're getting the

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Speaker 1: advantage and big tech. But if you look at what

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Speaker 1: happened at the election, Mitch McConnell should have fought you know,

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Speaker 1: he did nothing. He should have fought, They would have fought.

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Speaker 1: They could never have had That could never have happened

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Speaker 1: to a Democrat. At what happened to us with the

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Speaker 1: presidential election, could never have happened to the Democrats. You

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Speaker 1: would have had a revolution if they did. If they did,

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Speaker 1: if the if the tables were turned, you would have

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Speaker 1: literally had a revolution. And guys like Mitch McConnell, they

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Speaker 1: don't fight. And now he's hanging by a thread. He's

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Speaker 1: hanging by a three at all, not really, I don't

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Speaker 1: really want to talk to him. Look, he's hanging by

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Speaker 1: a thread right now with respect to the filibuster. And

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Speaker 1: if they get the filler, he's hanging on Joe Mansion,

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Speaker 1: who always goes with the Democrats. Joe talks, but he

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Speaker 1: ends up going with the Democrats. He's hanging by a thread.

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Speaker 1: And if they get the filibuster, if they knock it out,

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Speaker 1: it will be catastrophic for the Republican Party. Now there

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Speaker 1: is one thing that you can do, not show up.

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Speaker 1: If the Republicans don't show up. In other words, there's

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Speaker 1: no vote as I understand it, with fifty fifty, as

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Speaker 1: I understand it, the vice presidential vote doesn't count in

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Speaker 1: that case, so they can't get that through now. I

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Speaker 1: don't even know if the Republican if the Senate knows that.

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Speaker 1: If you want to know the truth, but if they

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Speaker 1: don't show up, Lisa, I hear that you can't take

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Speaker 1: of a it doesn't work. So that's a I mean,

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Speaker 1: they may have to do that because they can't allow

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Speaker 1: if they knocked out the filibuster, they cannot allow this

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Speaker 1: to happen. The things that they're they're going to attack

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Speaker 1: the Second Amendment violently, which I've told everybody they're going

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Speaker 1: to attack. Yeah, they're going to attack the Supreme Court.

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Speaker 1: Wouldn't it be interesting? The Supreme Court has done absolutely

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Speaker 1: nothing for us in terms of the election. They haven't

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Speaker 1: done what they should have done. Wouldn't it be ironic

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Speaker 1: if they stacked the court? It would be rather ironic. Yeah.

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Speaker 1: I mean the amount of control they want to have

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Speaker 1: over the country is pretty terrify. I mean, you look

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Speaker 1: at things like HR one. But also I want to

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Speaker 1: talk to you about the border crisis and what's going

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Speaker 1: on there. You know, they obviously refuse to call it

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Speaker 1: a border crisis, but the US is on pace right

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Speaker 1: now to stop more migrants crossing the border, or more

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Speaker 1: migrants crossing the border than in the last twenty years.

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Speaker 1: You had immigration under control. You had to remain in

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Speaker 1: Mexico policy. You're putting up a wall. You were not

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Speaker 1: doing catch and release, which is something Joe Biden is

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Speaker 1: doing now. So you had it handled. Is there any

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Speaker 1: advice that you would like to give Joe Biden on

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Speaker 1: how he should be handling the immigration crisis right now? Well,

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Speaker 1: finish the wall. Don't forget. We would delay two and

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Speaker 1: a half years with litigation from the Democrats from Nancy

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Speaker 1: Pelosi and Congress, and we won those cases, but we

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Speaker 1: wasted two and a half years. Despite that, the wall

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Speaker 1: is just about finished, just little sections of the wall.

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Speaker 1: Contractors are essentially paid, and they should finish the wall.

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Speaker 1: It's a very little it could you could finish it

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Speaker 1: in a month, and it's impossible that they're not. It's

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Speaker 1: just crazy that they're not finished in the wall. So

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Speaker 1: that's one piece of advice. And then you have to

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Speaker 1: go back that week. You have to remain in Mexico.

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Speaker 1: You know, Mexico and I had a very good relationship

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Speaker 1: at I must say we had a great I have

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Speaker 1: a lot of respect and like for the President of Mexico.

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Speaker 1: They had their soldiers while we were building the wall.

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Speaker 1: They had seven thousand soldiers guarding the wall, guarding our border,

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Speaker 1: and they did a very good job. I must tell

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Speaker 1: you, you you know, they don't have the restrictions that we have.

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Speaker 1: They did a very very good job. But we had

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Speaker 1: it to a level that they say it has never been.

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Speaker 1: We haven't. We got rid of all sorts of things,

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Speaker 1: including catch and release, all sorts of horrible things that

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Speaker 1: were that we had to live with. We got rid,

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Speaker 1: and the remain in Mexico. Right now, they're remaining in

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Speaker 1: the United States and they're never going to leave. And

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Speaker 1: we have no idea who these people are. But I

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Speaker 1: can tell you when countries send people up, and they

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Speaker 1: do send them up, when they send them up, they're

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Speaker 1: not sending up their finest. Okay, they're not sending up

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Speaker 1: their finest. Uh. You have some very good people coming up,

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Speaker 1: but you have some really bad ones coming to, really

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Speaker 1: dangerous criminals coming up, and we're allowing them to come

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Speaker 1: right into our country. It's insane and it's nothing compared

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Speaker 1: to what it's going to be over the coming months.

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Speaker 1: When you see it now. Enjoy it because it's much

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Speaker 1: better now when you see it in two or three months,

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Speaker 1: because they're just starting to come. They'll be coming up

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Speaker 1: by the millions. And we have no idea I mean

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Speaker 1: forgetting even about COVID and no testing, no nothing. I mean,

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Speaker 1: we're trying to get rid because we came up with

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Speaker 1: a vaccine, we're going to be hopefully in good shape

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Speaker 1: and then not due to the future. But these people

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Speaker 1: they're not being tested nothing. But they were also as

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Speaker 1: I said before, you have some very bad embres coming

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Speaker 1: up and we're taking him into our country and it's insane.

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Speaker 1: They're destroying our country, Lisa, they're destroying our country well,

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Speaker 1: and it's happening so fast. And for those at home

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Speaker 1: who don't The Remain of Mexico policy was such a

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Speaker 1: smart thing because essentially what happened was Central American silent seekers.

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Speaker 1: They remained in Mexico instead of coming into the United States.

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Speaker 1: Because what was happening, and you know, in Mr President,

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Speaker 1: this is why you did this, which was so wise.

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Speaker 1: What was happening is these individuals were coming here, passing

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Speaker 1: that initial interview and then getting lost in the population

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Speaker 1: of legal immigrants living here, So they're using that as

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Speaker 1: an opportunity to get in and then disappear. So that

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Speaker 1: was so smart that you did, and you threatened with

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Speaker 1: terrorist and you've got Mesco Mexico to you know, step

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Speaker 1: up to the plate. But there's also this, so you know,

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Speaker 1: in January and February, border authorities accountered more than fifteen

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Speaker 1: thousand unaccompanied minors. A migrant facility in Donna, Texas was

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Speaker 1: at s of its pandemic capacity this month. Are Joe

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Speaker 1: Biden's immigration policies inhumane? Well, they are a you mean,

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Speaker 1: and what's happened is people that are living in their

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Speaker 1: countries and that's where they've been and in many cases

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Speaker 1: that's where they ultimately want to go back to, if

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Speaker 1: you can believe it. But people living in their countries

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Speaker 1: are coming in. And these are not just countries in

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Speaker 1: South America, Latin America. These are now countries where you

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Speaker 1: look and you look at the Middle East. We have

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Speaker 1: Middle East owners coming in. We know nothing about them.

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Speaker 1: We have things happening that and we had it in

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Speaker 1: such good control two months ago, three months ago, and

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Speaker 1: then he made the statement that you want to have

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Speaker 1: you want to come in and everybody just started marching

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Speaker 1: up and the country has had a lot to do

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Speaker 1: with it. So one of the things I did was

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Speaker 1: it was impossible to bring them back to Guatemala, Honduras

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Speaker 1: and San Salvador, El Salvador, San Salvador, and you couldn't

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Speaker 1: bring them back. You couldn't get it back no matter what.

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Speaker 1: And what happened is I said, look how much money

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Speaker 1: we paid those countries, five hundred million dollars a year.

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Speaker 1: I stopped payment, and all of a sudden they took

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Speaker 1: them back. In other words, we capture Ms thirteen. And

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Speaker 1: if you take a look at El Salvador as an example,

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Speaker 1: or or any of them, and other countries too, they

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Speaker 1: wouldn't take them back. So I stopped payment. As soon

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Speaker 1: as I stopped payment, they gladly took him back. Nobody's

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Speaker 1: ever done that before. Nobody ever talks about it, because

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Speaker 1: you know, how simple is it, but nobody's ever done it.

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Speaker 1: So I stopped paying the five hundred million a year

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Speaker 1: to the three countries, the triangle as we call them.

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Speaker 1: I stopped paying it. Once I stopped paying it, they

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Speaker 1: said we'll take them back. They would literally round them

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Speaker 1: up for me. They would round them up bring them

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Speaker 1: to Honduras, bring them to bring them to Guatemala, and

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Speaker 1: they would say, turn around, we're not taking them back.

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Speaker 1: Now they take them back, but now they're not going

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Speaker 1: to again. So he's paying and we don't get anything

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Speaker 1: for We give them a lot of money and we

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Speaker 1: get nothing but disrespect. And we had it down to

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Speaker 1: an absolute science. It was. It was a beautiful thing

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Speaker 1: to see and frankly, what's happened. And even Mexico, I said, look,

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Speaker 1: if we don't if we don't make a deal, and

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Speaker 1: if you don't help us out, we're gonna have to

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Speaker 1: put tariffs on all of the products that you sell

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Speaker 1: to the United States because they have a big surplus

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Speaker 1: with the United States. So we're gonna have to put

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Speaker 1: a terraphone. As soon as I said that they were great,

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Speaker 1: and they were great. We had a great relationship with

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Speaker 1: Mexico and the other countries because they didn't want to

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Speaker 1: have either tariffs imposed or they wanted to get some

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Speaker 1: of the money. And and you know, and I also

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Speaker 1: gave them back us but we gave them we stopped

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Speaker 1: payment on all of that money that was pouring in,

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Speaker 1: and all of a sudden they took the MS thirteen

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Speaker 1: people back, and they took the people that we wanted

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Speaker 1: out of our country back. So people don't talk about that.

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Speaker 1: They never talked about that, But that's what happened, and

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Speaker 1: we never had it so good. And you know when

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Speaker 1: they when they released them in our country, they go

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Speaker 1: into our country, they never we never find them again.

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Speaker 1: They never come back. Okay, when they never come back,

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Speaker 1: a very tiny percentage comes back. They say we're gonna

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Speaker 1: release you in the country and you'll come back in

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Speaker 1: two years for a legal case. That's the end of them.

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Speaker 1: Very few people show up. It's it's ridiculous. So we

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Speaker 1: had a thing where we keep them in Mexico. We

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Speaker 1: got upheld in the courts meeting positively, so all of

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Speaker 1: these people were staying in Mexico. What that did is

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Speaker 1: it forced Mexico not to let them in on their

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Speaker 1: northern border, so they wouldn't let them in. So we're

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Speaker 1: sort of working for everybody. And then these people came

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Speaker 1: alone and they just ended everything. And now they to

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Speaker 1: be flowing in by the millions, already started very substantially.

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Speaker 1: Nobody's ever seen it as bad as it is now.

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Speaker 1: It's really good compared to what it will be in

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Speaker 1: a few months. We certainly don't see this same pressure

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Speaker 1: from the media, the same sort of lies that they

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Speaker 1: were telling about your immigration policies being applied to you know,

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Speaker 1: the Biden administration here. But no, I wanted to ask

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Speaker 1: you you've mentioned COVID early or so, you know. We

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Speaker 1: it's been over years since the fifteen days to slow

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Speaker 1: the spread, and Dr Fauci has drawn the ire of

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Speaker 1: a lot of conservatives like me, uh and also Senator Rampaul.

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Speaker 1: We've seen a lot of his exchanges in the Senate

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Speaker 1: with Dr Fauci. You know, he's flip flopped on masks.

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Speaker 1: He was wrong about the travel bands. He basically told

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Speaker 1: us at the beginning to not worry about COVID. Do

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Speaker 1: you regret ever elevating him? Well, I didn't really elevate him.

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Speaker 1: He's been there for forty years, he's been there forever,

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Speaker 1: and I thought rather than firing him, you know, I

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Speaker 1: listened to him, but I didn't do what he said

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Speaker 1: because frankly, his record is not a good record. I

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Speaker 1: like him personally. It's actually a nice guy, is a

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Speaker 1: great promoter. He's really a promoter more than anything else.

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Speaker 1: And Uh, I think he's you know, I always say

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Speaker 1: he's a better pitcher of a baseball than he is

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Speaker 1: at what he does, because he was wrong so much.

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Speaker 1: If I would have listened to him. First of all,

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Speaker 1: he said no masks, and very importantly, he didn't want

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Speaker 1: to have China stopped from coming in. If we would

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Speaker 1: have done that, we would have had hundreds of thousands

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Speaker 1: of more deaths in our country. And if you look

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Speaker 1: at what we've done, you know, we don't get fair publicity.

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Speaker 1: But what we've done, we've supplied. You know, the cupboage

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Speaker 1: were bare. We had nothing from the previous administration, and

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Speaker 1: we got all of the gowns and all of the

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Speaker 1: masks and all of the uh, if you take a

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Speaker 1: look at the machinery, the equipment that you need, it's massive.

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Speaker 1: We took care of everything, and we really did a

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Speaker 1: great job. But we stopped so many But the big

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Speaker 1: thing that I did is the vaccine. Because the vaccine,

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Speaker 1: you know, a lot of people expected we're gonna lose

427
00:21:55,880 --> 00:21:58,959
Speaker 1: two point two million people, and it's going to be

428
00:21:59,000 --> 00:22:02,520
Speaker 1: a number six stantially lower than that. But the big

429
00:22:02,560 --> 00:22:04,959
Speaker 1: thing that I did for the world, not only is

430
00:22:05,040 --> 00:22:07,160
Speaker 1: I went to the f D a I said, fellas

431
00:22:07,920 --> 00:22:10,480
Speaker 1: it's over, this is going to go fast. It would

432
00:22:10,480 --> 00:22:13,240
Speaker 1: have taken five years for another president, a guy like

433
00:22:13,320 --> 00:22:16,960
Speaker 1: Biden would have taken five year, taken five years for

434
00:22:17,160 --> 00:22:20,040
Speaker 1: the vaccine to be approved, and it would have never

435
00:22:20,080 --> 00:22:21,600
Speaker 1: been approved. I think they would have had it. It

436
00:22:21,640 --> 00:22:24,080
Speaker 1: would have you know, goes from five to twelve years.

437
00:22:24,400 --> 00:22:26,760
Speaker 1: I got it done in nine months, and they did

438
00:22:26,760 --> 00:22:28,960
Speaker 1: not like me. I will tell you that they did

439
00:22:28,960 --> 00:22:31,280
Speaker 1: not like me. In statutorily, they had to do things

440
00:22:31,320 --> 00:22:34,440
Speaker 1: a certain way. They were I ended all I said,

441
00:22:34,520 --> 00:22:36,760
Speaker 1: we need have Actually we got it done in nine months.

442
00:22:36,960 --> 00:22:38,760
Speaker 1: I mean they disliked me so much that it was

443
00:22:38,800 --> 00:22:42,600
Speaker 1: approved like two days after the election because they could.

444
00:22:42,640 --> 00:22:44,560
Speaker 1: And by the way, the only one that dislikes me

445
00:22:44,600 --> 00:22:47,119
Speaker 1: more of the drug companies, because what I did with

446
00:22:47,160 --> 00:22:50,439
Speaker 1: favorite nations and everything else. If Biden keeps my policies,

447
00:22:50,840 --> 00:22:53,199
Speaker 1: drug prices will come way down to the lowest in

448
00:22:53,240 --> 00:22:56,280
Speaker 1: the world, will be tied because the favorite nations. That

449
00:22:56,320 --> 00:22:58,800
Speaker 1: means we will match the lowest price in the world,

450
00:22:59,240 --> 00:23:02,000
Speaker 1: which is much lower for the exact same drug with

451
00:23:02,119 --> 00:23:05,720
Speaker 1: the exact same pill. So the drug companies that took

452
00:23:06,000 --> 00:23:10,280
Speaker 1: millions of dollars of advertisements against us, against me, and

453
00:23:10,400 --> 00:23:11,800
Speaker 1: you know, but I had to do what was right.

454
00:23:11,880 --> 00:23:14,800
Speaker 1: Nobody else would have done. Favorite nations against the drug companies.

455
00:23:15,280 --> 00:23:18,080
Speaker 1: So if they leave that in place, and I did

456
00:23:18,080 --> 00:23:21,560
Speaker 1: other things like transparency and other things, but you know,

457
00:23:22,040 --> 00:23:24,840
Speaker 1: the people, I think I know the people love it.

458
00:23:25,080 --> 00:23:27,399
Speaker 1: The problem is they won't see it for a little while.

459
00:23:27,960 --> 00:23:32,280
Speaker 1: If they allowed my policies to stay, we'll have tied

460
00:23:32,359 --> 00:23:35,040
Speaker 1: for the lowest drug prices anywhere in the world. It'll

461
00:23:35,080 --> 00:23:37,919
Speaker 1: be great. But Faucci has been so wrong, so as Burkes.

462
00:23:37,920 --> 00:23:40,320
Speaker 1: They've been so wrong. And if I would have listened

463
00:23:40,359 --> 00:23:42,240
Speaker 1: to them and then they went to the other extreme,

464
00:23:42,359 --> 00:23:44,840
Speaker 1: like the entire country should lock up, I didn't go

465
00:23:44,920 --> 00:23:47,360
Speaker 1: for that, and you know, it just wasn't for me.

466
00:23:47,640 --> 00:23:50,080
Speaker 1: I didn't go for that. And if you look, you

467
00:23:50,080 --> 00:23:52,880
Speaker 1: know I allowed governors like Rhonda Santis, who has done

468
00:23:52,880 --> 00:23:55,760
Speaker 1: a great job, and in texas As they've done a

469
00:23:55,880 --> 00:23:59,080
Speaker 1: really good job, and uh in South Dakota. But many

470
00:23:59,119 --> 00:24:02,840
Speaker 1: many place is I allowed them to keep open if

471
00:24:02,880 --> 00:24:05,159
Speaker 1: they want, if they want to know, the ones that

472
00:24:05,240 --> 00:24:07,280
Speaker 1: shut down are the ones that are doing the worst.

473
00:24:07,440 --> 00:24:09,800
Speaker 1: You look at New York, you look at California, the

474
00:24:09,800 --> 00:24:12,280
Speaker 1: ones that shut down are the ones that the states

475
00:24:12,280 --> 00:24:14,280
Speaker 1: that have done the worst. It's sort of amazing, to

476
00:24:14,359 --> 00:24:16,920
Speaker 1: be honest, if you look at it, but they've done

477
00:24:16,960 --> 00:24:20,040
Speaker 1: really terribly. They've ruined their economies, they've ruined their states,

478
00:24:20,119 --> 00:24:23,119
Speaker 1: and then numbers aren't better. In fact, the numbers are

479
00:24:23,160 --> 00:24:27,080
Speaker 1: worse than the ones that have been much more open.

480
00:24:27,119 --> 00:24:29,560
Speaker 1: All right, Mr President, I know you've got I don't

481
00:24:29,560 --> 00:24:31,280
Speaker 1: want to take up much more of your time. I

482
00:24:31,280 --> 00:24:34,160
Speaker 1: know you've got a busy day, but it is such

483
00:24:34,200 --> 00:24:37,200
Speaker 1: an honor to talk to you. You're welcome here anytime.

484
00:24:37,600 --> 00:24:39,320
Speaker 1: I would love to have you back on the podcast,

485
00:24:39,440 --> 00:24:41,600
Speaker 1: and it is beyond an honor to have you as

486
00:24:41,600 --> 00:24:44,600
Speaker 1: my very first guest on this podcast. So I just

487
00:24:44,640 --> 00:24:47,240
Speaker 1: want to thank you for taking the time. Thank you,

488
00:24:47,720 --> 00:24:50,000
Speaker 1: and Lisa on behalf of a lot of people. Thank

489
00:24:50,000 --> 00:24:53,520
Speaker 1: you for everything. Your voice has been incredible, it's been strong,

490
00:24:54,240 --> 00:24:57,040
Speaker 1: and you're definitely not afraid, and that's something that we need.

491
00:24:57,160 --> 00:25:00,359
Speaker 1: So we need more of that. And it's to do

492
00:25:00,480 --> 00:25:03,400
Speaker 1: your first your first show, and you're gonna have many.

493
00:25:03,560 --> 00:25:06,879
Speaker 1: You're gonna do very well because you're somebody that people

494
00:25:06,920 --> 00:25:09,200
Speaker 1: respect greatly. Thank you very much, Lisa, Thank you, sir,

495
00:25:09,240 --> 00:25:11,360
Speaker 1: that means the world coming from you, I really appreciate it.

496
00:25:11,600 --> 00:25:14,359
Speaker 1: I hope you enjoyed that with President Trump. We're going

497
00:25:14,440 --> 00:25:17,119
Speaker 1: to take a quick commercial break and then back with

498
00:25:17,160 --> 00:25:22,639
Speaker 1: my interview with Tucker Carlson on the other side. This

499
00:25:22,720 --> 00:25:26,679
Speaker 1: is episode eighteen with my colleague and I think the

500
00:25:26,760 --> 00:25:32,000
Speaker 1: smartest person on television, the great Tucker Carlson. You're probably

501
00:25:32,040 --> 00:25:35,240
Speaker 1: subject to the most criticism in the country in terms

502
00:25:35,320 --> 00:25:38,200
Speaker 1: of as being a journalist. Why do you think that is? Oh,

503
00:25:38,240 --> 00:25:40,320
Speaker 1: I don't. I mean, you know, because I'm in the way.

504
00:25:40,359 --> 00:25:43,000
Speaker 1: I guess I don't have perspective on it. I mean,

505
00:25:43,040 --> 00:25:46,000
Speaker 1: I'm I'm very against the Internet. You know. I try

506
00:25:46,040 --> 00:25:47,639
Speaker 1: not to spend any time on the Internet if I

507
00:25:47,640 --> 00:25:50,439
Speaker 1: can help it. I think it's disgusting, you know, you know,

508
00:25:50,880 --> 00:25:52,760
Speaker 1: I mean, I'm really thrilled that, you know, we can

509
00:25:52,800 --> 00:25:56,600
Speaker 1: get up to the moment weather updates, but like, overall,

510
00:25:56,640 --> 00:25:58,720
Speaker 1: the internet has been like the worst thing that ever

511
00:25:58,800 --> 00:26:03,960
Speaker 1: happened to the world. And clearly and um so I'm

512
00:26:03,960 --> 00:26:06,480
Speaker 1: just not on it that much. I never go go myself,

513
00:26:06,520 --> 00:26:09,200
Speaker 1: I would never do that. And and more broadly, I'm

514
00:26:09,240 --> 00:26:12,920
Speaker 1: I'm not interested like truly and I'm not just saying this,

515
00:26:13,040 --> 00:26:15,800
Speaker 1: I mean it, Ask anyone who lives around me. I'm

516
00:26:15,840 --> 00:26:19,679
Speaker 1: not interested in in the opinions of people I don't respect.

517
00:26:19,760 --> 00:26:22,880
Speaker 1: I'm deeply interested in the people I love and care

518
00:26:22,880 --> 00:26:25,200
Speaker 1: about and their opinions. If my wife looks at me

519
00:26:25,240 --> 00:26:28,080
Speaker 1: cross side it, you know, it brings me to my knees.

520
00:26:28,119 --> 00:26:30,400
Speaker 1: I mean, I really care what the people I love

521
00:26:30,440 --> 00:26:34,159
Speaker 1: to think very much, and I will immediately change my

522
00:26:34,240 --> 00:26:37,080
Speaker 1: behavior if they tell me too. But like somebody at

523
00:26:37,080 --> 00:26:39,439
Speaker 1: the Daily Beast, I don't, you know, why would I

524
00:26:39,440 --> 00:26:41,480
Speaker 1: care what they think? I really don't. I mean, and

525
00:26:41,520 --> 00:26:44,240
Speaker 1: I mean that, oh, you're a Nazi, you're a what

526
00:26:44,520 --> 00:26:46,720
Speaker 1: you know, you quoted Martin Luther King, So you're a

527
00:26:46,720 --> 00:26:49,359
Speaker 1: white supremacist. Okay, you know it's this is so dumb,

528
00:26:49,359 --> 00:26:51,920
Speaker 1: like why do I care? So it doesn't have any

529
00:26:51,920 --> 00:26:56,679
Speaker 1: effect on me at all, like literally none, and so

530
00:26:56,760 --> 00:26:58,920
Speaker 1: it's like to me, it's like it's not even happening.

531
00:26:58,960 --> 00:27:02,800
Speaker 1: I'm gonna say what I think is true. If I

532
00:27:03,160 --> 00:27:06,480
Speaker 1: say something that's cruel or unfair, you know that people

533
00:27:06,520 --> 00:27:10,080
Speaker 1: I respect will tell me immediately and I I'll apologize

534
00:27:10,119 --> 00:27:13,439
Speaker 1: and stop doing it. But like the criticism of people

535
00:27:13,480 --> 00:27:16,639
Speaker 1: who you know, work for Jeff Bezos and want to

536
00:27:16,640 --> 00:27:19,760
Speaker 1: defend the existing order like I don't give a ship

537
00:27:19,880 --> 00:27:22,400
Speaker 1: at all, and I really don't either. You know, we've

538
00:27:22,440 --> 00:27:25,640
Speaker 1: seen probably one of the biggest transfers of wealth over

539
00:27:25,680 --> 00:27:29,080
Speaker 1: the past year, and you know, the shuttering of small

540
00:27:29,119 --> 00:27:32,639
Speaker 1: businesses which are more decentralized in the centralized power with

541
00:27:32,760 --> 00:27:37,159
Speaker 1: large corporations, as well as obviously the government growing larger.

542
00:27:37,880 --> 00:27:40,560
Speaker 1: H in addition to that, you know, where where does

543
00:27:40,640 --> 00:27:43,080
Speaker 1: that head? And what does that mean for a country,

544
00:27:43,119 --> 00:27:45,760
Speaker 1: you know, both economically and just as a nation at large.

545
00:27:46,040 --> 00:27:50,960
Speaker 1: But what about racism? What about racism? What about transgender rights?

546
00:27:51,000 --> 00:27:54,080
Speaker 1: I mean, all of the debates that are sort of

547
00:27:54,119 --> 00:27:59,480
Speaker 1: forced on us from above, racism, oh shut up, transgender right,

548
00:27:59,520 --> 00:28:02,240
Speaker 1: you know, it's it's like nine people. All of them

549
00:28:02,240 --> 00:28:05,280
Speaker 1: are recover for the real debates, which are mostly about economics,

550
00:28:05,280 --> 00:28:08,520
Speaker 1: not not exclusively, but the big ones are about like

551
00:28:08,600 --> 00:28:12,600
Speaker 1: the role of the central bank. And in a normal country,

552
00:28:12,760 --> 00:28:14,600
Speaker 1: that's what you would be debating because that that really

553
00:28:14,600 --> 00:28:17,760
Speaker 1: does matter. But we're not having that debate at all.

554
00:28:18,160 --> 00:28:21,639
Speaker 1: And yeah, you're seeing a complete transformation of the U.

555
00:28:21,720 --> 00:28:25,160
Speaker 1: S economy complete two. And this has been a middle

556
00:28:25,160 --> 00:28:29,080
Speaker 1: class country literally middle class country. The majority of people

557
00:28:29,160 --> 00:28:31,960
Speaker 1: fall into the you know, as determined by the Labor Department.

558
00:28:31,960 --> 00:28:34,000
Speaker 1: But in the income range that we call middle class,

559
00:28:34,000 --> 00:28:38,520
Speaker 1: the majority were middle class. Two fifteen, the middle class

560
00:28:38,560 --> 00:28:41,720
Speaker 1: becomes a minority in the country becomes and this has

561
00:28:41,760 --> 00:28:44,720
Speaker 1: accelerated this trend way more lopsided. Small number of people

562
00:28:44,720 --> 00:28:48,240
Speaker 1: control a larger percentage of the assets, and that makes

563
00:28:48,280 --> 00:28:51,480
Speaker 1: the country really unstable, not just this country, in any country.

564
00:28:51,520 --> 00:28:53,960
Speaker 1: That's how Venezuela went from this kind of nice place

565
00:28:54,000 --> 00:28:56,360
Speaker 1: I went there as a kid to you know, this hellhole.

566
00:28:56,440 --> 00:28:59,800
Speaker 1: They're eating zoo animals and you know, Maduro's in charge,

567
00:28:59,840 --> 00:29:04,400
Speaker 1: Like because that concentration of wealth in a democracy provokes

568
00:29:05,560 --> 00:29:09,320
Speaker 1: a response, and it provokes radical populism and they break everything.

569
00:29:09,400 --> 00:29:11,920
Speaker 1: So like, that's a really bad trend. It's one of

570
00:29:11,960 --> 00:29:15,440
Speaker 1: the worst possible trends. But we don't even discuss it.

571
00:29:15,480 --> 00:29:17,960
Speaker 1: And why don't we discuss it because the people who

572
00:29:17,960 --> 00:29:21,320
Speaker 1: control the conversation, you know, who control the tech companies

573
00:29:21,360 --> 00:29:24,240
Speaker 1: and the and the TV networks, I don't want to

574
00:29:24,280 --> 00:29:26,800
Speaker 1: have that conversation because they're on the winning end of it.

575
00:29:27,040 --> 00:29:31,360
Speaker 1: So Trump said something he once Trump stunt super reflective

576
00:29:31,400 --> 00:29:34,440
Speaker 1: as you know. But he did say something I never forgot,

577
00:29:34,560 --> 00:29:36,920
Speaker 1: which is, you know, the one thing that people don't

578
00:29:36,960 --> 00:29:39,760
Speaker 1: like the system, our system doesn't like in this country's

579
00:29:39,840 --> 00:29:43,360
Speaker 1: economic populist. And they really don't. You know that We've

580
00:29:43,400 --> 00:29:46,520
Speaker 1: never had since Teddy Roosevelt. We have not had a

581
00:29:46,600 --> 00:29:51,080
Speaker 1: president including Trump by the way, um, who is an

582
00:29:51,080 --> 00:29:55,960
Speaker 1: economic populist. But most people kind of like the basic

583
00:29:56,000 --> 00:29:58,640
Speaker 1: ideas of economic populism. So what does that tell you

584
00:30:00,200 --> 00:30:02,160
Speaker 1: if for a hundred years people don't get the one

585
00:30:02,200 --> 00:30:05,560
Speaker 1: thing they want, maybe the system isn't very responsive to

586
00:30:06,000 --> 00:30:10,120
Speaker 1: the public. Maybe it's not really a democracy, you know

587
00:30:10,120 --> 00:30:11,720
Speaker 1: what I mean? No, I mean it makes sense. And

588
00:30:11,800 --> 00:30:14,640
Speaker 1: you know, of course, everything ultimately is about, you know, control,

589
00:30:14,880 --> 00:30:19,479
Speaker 1: and that's why obviously they want larger corporations and government

590
00:30:19,520 --> 00:30:21,880
Speaker 1: control and socialism and things of that nature, because it

591
00:30:21,880 --> 00:30:25,000
Speaker 1: empowers the people in charge for real. Last question of this,

592
00:30:25,000 --> 00:30:27,160
Speaker 1: this is something that you encourage people that you know,

593
00:30:27,200 --> 00:30:31,440
Speaker 1: get married, have kids. Why Why is having a strong

594
00:30:31,520 --> 00:30:35,560
Speaker 1: family unit almost counterculture? Now? Well, because it runs contrary

595
00:30:35,600 --> 00:30:40,160
Speaker 1: to corporate interests. I mean, feminism is just like a

596
00:30:40,200 --> 00:30:44,080
Speaker 1: pure corporate propaganda, you know, telling And I have three daughters,

597
00:30:44,080 --> 00:30:45,840
Speaker 1: so I think about this a lot, but like telling

598
00:30:45,880 --> 00:30:50,240
Speaker 1: girls that somehow more virtuous and fulfilling and meaningful to

599
00:30:50,520 --> 00:30:55,200
Speaker 1: work for some soulless corporation in the HR department of marketing, marketing,

600
00:30:55,320 --> 00:30:59,240
Speaker 1: whatever the funk that is marketing, uh, than it is

601
00:30:59,280 --> 00:31:02,120
Speaker 1: to raise your own children. Like who thought of that first?

602
00:31:02,160 --> 00:31:05,480
Speaker 1: Personal It's like so ridiculous. Anyway, this is this is

603
00:31:05,520 --> 00:31:07,800
Speaker 1: the Ryl Sandberg wrote a whole book on this. She

604
00:31:07,880 --> 00:31:10,520
Speaker 1: and a lot of people like her have been making

605
00:31:10,560 --> 00:31:13,040
Speaker 1: this case for fifty years that you're just you're gonna

606
00:31:13,040 --> 00:31:15,960
Speaker 1: be a lot happier if you work for some big

607
00:31:16,000 --> 00:31:19,280
Speaker 1: company than if you have a personal life. And it's

608
00:31:19,280 --> 00:31:22,840
Speaker 1: such a lie that they can only maintain it with

609
00:31:22,920 --> 00:31:25,720
Speaker 1: like maximum hysteria. You know, men are terrible. You don't

610
00:31:25,760 --> 00:31:31,440
Speaker 1: want a man, right, okay? And you know having a

611
00:31:31,520 --> 00:31:35,080
Speaker 1: man and having a family, having little kids you have

612
00:31:35,160 --> 00:31:38,120
Speaker 1: to deal with makes you a less reliable employee. So

613
00:31:38,280 --> 00:31:40,440
Speaker 1: of course they're going to say that the amazing thing

614
00:31:40,480 --> 00:31:43,440
Speaker 1: is we believe that this is a liberation movement. You're

615
00:31:43,440 --> 00:31:46,600
Speaker 1: so liberated you get to, you know, commute to midtown

616
00:31:47,600 --> 00:31:51,520
Speaker 1: sitting r meetings. That's not like that's liberation. So the

617
00:31:51,560 --> 00:31:54,920
Speaker 1: truth is like you know, getting married, having someone who

618
00:31:55,040 --> 00:31:57,320
Speaker 1: you love and loves you back, and who is loyal

619
00:31:57,360 --> 00:31:59,880
Speaker 1: to you and you're loyal to you know, like the

620
00:32:00,200 --> 00:32:03,320
Speaker 1: happiest thing in life having children? Are you kidding? It's

621
00:32:03,320 --> 00:32:06,120
Speaker 1: the most meaningful thing you can do. It's not the easiest,

622
00:32:06,720 --> 00:32:08,840
Speaker 1: it's not always the most fun, but it's it's certainly

623
00:32:08,880 --> 00:32:11,000
Speaker 1: the most rewarding. It's the thing that you know, it's

624
00:32:11,000 --> 00:32:14,680
Speaker 1: all that matters really in my opinion, And so like

625
00:32:15,120 --> 00:32:17,160
Speaker 1: people are like, oh, well, you know it matters. What

626
00:32:17,320 --> 00:32:19,880
Speaker 1: really matters is I don't know, going to sat Barts

627
00:32:19,960 --> 00:32:23,800
Speaker 1: or having more sex partners really do They don't really

628
00:32:23,840 --> 00:32:27,080
Speaker 1: think that makes you happy. Now, It's like absurd, It's

629
00:32:27,160 --> 00:32:33,880
Speaker 1: totally absurd, you know. I tell her, I think back

630
00:32:33,880 --> 00:32:37,040
Speaker 1: before I became afraid to the time at work, I

631
00:32:38,800 --> 00:32:42,320
Speaker 1: m PBS or just you know, in the past thirty years,

632
00:32:42,800 --> 00:32:45,600
Speaker 1: as in television, where I've worked for twenty six years,

633
00:32:45,640 --> 00:32:47,560
Speaker 1: I would always tell the women on it because it's

634
00:32:47,600 --> 00:32:50,560
Speaker 1: like heavily women, because they're amazing producers and they're like

635
00:32:50,640 --> 00:32:54,600
Speaker 1: incredibly hard working, like in a way just candidly that

636
00:32:54,640 --> 00:32:57,040
Speaker 1: a lot of men aren't. You know, people like to

637
00:32:57,120 --> 00:33:00,960
Speaker 1: hire women. That's true because they're like awesome them, you know,

638
00:33:01,280 --> 00:33:03,080
Speaker 1: can you do this? Absolutely? And they do it. It's

639
00:33:03,120 --> 00:33:05,880
Speaker 1: crazy and so but the problem is that companies take

640
00:33:05,920 --> 00:33:09,280
Speaker 1: advantage of women, and women don't kind of complain about

641
00:33:09,280 --> 00:33:11,880
Speaker 1: it because they're so dutiful. These are generalizations, but they're

642
00:33:11,880 --> 00:33:15,000
Speaker 1: generally true. And so I would always take the women

643
00:33:15,000 --> 00:33:16,360
Speaker 1: on our staff aside and be like, you know, you're

644
00:33:16,400 --> 00:33:19,560
Speaker 1: so awesome and you're great, but like, you know, don't

645
00:33:20,080 --> 00:33:23,040
Speaker 1: forget that this is just a TV show and in

646
00:33:23,080 --> 00:33:25,960
Speaker 1: the end, you know, you want to live out your

647
00:33:25,960 --> 00:33:27,720
Speaker 1: life with like someone who really loves you, and like

648
00:33:27,760 --> 00:33:30,080
Speaker 1: if you want children, you should have them, and don't

649
00:33:30,160 --> 00:33:34,440
Speaker 1: let your loyalty to this job, you know, convince you

650
00:33:34,480 --> 00:33:36,479
Speaker 1: to miss your own life, like take time for your

651
00:33:36,520 --> 00:33:38,920
Speaker 1: personal life. I would always say that. Now I'm like

652
00:33:38,960 --> 00:33:40,840
Speaker 1: afraid so I get fired for saying that again. I

653
00:33:40,840 --> 00:33:42,520
Speaker 1: don't know what would happen. I don't say that anymore,

654
00:33:42,520 --> 00:33:45,160
Speaker 1: but I always did because I meant it, And I

655
00:33:45,200 --> 00:33:49,080
Speaker 1: wish a woman would say that to America. You know,

656
00:33:49,240 --> 00:33:51,800
Speaker 1: it's a lie working for City Bank or you do

657
00:33:51,840 --> 00:33:54,400
Speaker 1: you think City Bank cares about you know, you know,

658
00:33:54,440 --> 00:33:56,400
Speaker 1: who cares about you? Like your husband would care about

659
00:33:56,440 --> 00:33:58,520
Speaker 1: your kids, would care of you, your dogs care about you.

660
00:33:58,760 --> 00:34:01,120
Speaker 1: City Bank does not care of about you. So Fox

661
00:34:01,160 --> 00:34:03,320
Speaker 1: City Bank, that's how I feel about it. Yeah, I

662
00:34:03,320 --> 00:34:04,760
Speaker 1: mean I do. I totally agree with you. And this

663
00:34:04,800 --> 00:34:06,720
Speaker 1: is something I've been grappling with over the past year

664
00:34:06,920 --> 00:34:09,200
Speaker 1: of you know, I've put so much emphasis on work

665
00:34:09,239 --> 00:34:11,799
Speaker 1: before and you know, wanting to look towards having a

666
00:34:11,800 --> 00:34:13,719
Speaker 1: family and find the right person and get married and

667
00:34:13,960 --> 00:34:16,800
Speaker 1: do that whole thing, because it's almost as if society

668
00:34:16,920 --> 00:34:20,120
Speaker 1: we've redirected people away from things that actually have meaning

669
00:34:20,160 --> 00:34:22,920
Speaker 1: in life and purpose in life, like religion, like families,

670
00:34:23,560 --> 00:34:26,200
Speaker 1: and directed it towards things that are completely empty and

671
00:34:26,280 --> 00:34:30,640
Speaker 1: unfulfilling and bring unhappiness and sadness. It's twisted. Yeah, but

672
00:34:30,680 --> 00:34:32,359
Speaker 1: you get to go to Burning Man for a week,

673
00:34:32,520 --> 00:34:35,759
Speaker 1: so it's all worth it, you know, And you know,

674
00:34:35,840 --> 00:34:39,160
Speaker 1: you get your little nappod in the Google break room

675
00:34:39,280 --> 00:34:43,279
Speaker 1: and like, you know, you get free score bars, so

676
00:34:43,480 --> 00:34:46,640
Speaker 1: you're you're you're good, You're very psyched, and you can

677
00:34:46,719 --> 00:34:48,680
Speaker 1: order in lunch and the company will pay for it.

678
00:34:48,760 --> 00:34:51,839
Speaker 1: Like if those are your rewards or you make three

679
00:34:51,920 --> 00:34:54,680
Speaker 1: hundred thousand a year, Wow, that'll make you happier three

680
00:34:54,680 --> 00:34:56,719
Speaker 1: million or thirty million a year. I mean, it's it's

681
00:34:56,719 --> 00:35:00,400
Speaker 1: all such a lie. And and I mean I can

682
00:35:00,400 --> 00:35:01,759
Speaker 1: say because I'm one of the few people I know

683
00:35:01,800 --> 00:35:04,160
Speaker 1: who's like, you know, I ran out of money at

684
00:35:04,160 --> 00:35:07,520
Speaker 1: one point how to sell my house with fork and

685
00:35:07,560 --> 00:35:10,040
Speaker 1: then I made a lot of money, and so I've

686
00:35:10,040 --> 00:35:13,279
Speaker 1: been kind of both ends. And I can tell you know,

687
00:35:13,400 --> 00:35:17,120
Speaker 1: debt is bad, being poor is hard. Not having enough

688
00:35:17,160 --> 00:35:20,480
Speaker 1: money is hard. But making more than you need does

689
00:35:20,520 --> 00:35:23,080
Speaker 1: not make you happy. It just doesn't. That's a lie.

690
00:35:23,400 --> 00:35:25,120
Speaker 1: And I mean, I think we all sort of know that,

691
00:35:25,120 --> 00:35:26,719
Speaker 1: but let me just say it again. That's a lie.

692
00:35:27,239 --> 00:35:30,080
Speaker 1: What makes you happy are your relationships or your commitments

693
00:35:30,080 --> 00:35:33,919
Speaker 1: to other people, not your random relationships, like your deep relationships,

694
00:35:33,920 --> 00:35:36,160
Speaker 1: the one that's that you sacrifice for the ones you're

695
00:35:36,160 --> 00:35:38,879
Speaker 1: connected to for life. The person will be buried next

696
00:35:38,880 --> 00:35:42,919
Speaker 1: to what that matters, and nobody says it. I don't

697
00:35:43,000 --> 00:35:45,919
Speaker 1: understand why, but you know, as noted, I just don't care.

698
00:35:46,000 --> 00:35:48,440
Speaker 1: So I'm going to because why wouldn't I know? I

699
00:35:48,480 --> 00:35:50,239
Speaker 1: think it's important, which is why you know, I wanted

700
00:35:50,280 --> 00:35:51,919
Speaker 1: to bring it up, because you know, I do think

701
00:35:51,920 --> 00:35:54,759
Speaker 1: we're turning young people towards things that are completely meaningless

702
00:35:54,760 --> 00:35:58,040
Speaker 1: and empty, and social media, of course draws people inside

703
00:35:58,080 --> 00:36:01,240
Speaker 1: and away from those interpersonal relationships, which is the basis

704
00:36:01,239 --> 00:36:04,879
Speaker 1: and foundation of happiness in society. Anything else you want

705
00:36:04,880 --> 00:36:08,319
Speaker 1: to leave my listeners with before we go, well, just one,

706
00:36:08,400 --> 00:36:10,600
Speaker 1: it's just on this topic. I can't control myself. I

707
00:36:10,640 --> 00:36:12,359
Speaker 1: just had this conversation with my wife yesterday, so it's

708
00:36:12,360 --> 00:36:14,840
Speaker 1: just like the top of mind, but we're talking about,

709
00:36:14,960 --> 00:36:18,439
Speaker 1: you know, happiness and unhappiness or whatever. And I thought,

710
00:36:18,760 --> 00:36:20,400
Speaker 1: and I thought this before, but it really struck me. Ester.

711
00:36:20,480 --> 00:36:22,920
Speaker 1: It's like, I don't think I've ever been unhappy in

712
00:36:23,000 --> 00:36:28,160
Speaker 1: my life except because of self pity. I honestly don't

713
00:36:28,160 --> 00:36:30,120
Speaker 1: think I have. I mean, I haven't had a ton

714
00:36:30,160 --> 00:36:32,200
Speaker 1: of you know, bad things happen to me. I've had

715
00:36:32,200 --> 00:36:36,000
Speaker 1: a really happen nice life, easy life, really. But the

716
00:36:36,040 --> 00:36:39,080
Speaker 1: times where I've been unhappy, it's been one because I

717
00:36:39,120 --> 00:36:41,840
Speaker 1: felt sorry for myself. One d you know, poor me,

718
00:36:42,040 --> 00:36:45,480
Speaker 1: you know what I mean. And I thought, well, what

719
00:36:45,640 --> 00:36:49,560
Speaker 1: is the root of self pity? And of course it's narcissism,

720
00:36:49,600 --> 00:36:52,240
Speaker 1: you know, It's it's thinking about it's obsessing over yourself,

721
00:36:52,719 --> 00:36:57,759
Speaker 1: and that that really is the root of unhappiness, and

722
00:36:57,800 --> 00:37:00,680
Speaker 1: so anything that pulls you deeper in to yourself. And

723
00:37:00,840 --> 00:37:04,240
Speaker 1: by the way, I would say self knowledge is really important,

724
00:37:04,280 --> 00:37:06,719
Speaker 1: and that's a different category. Understanding who you are and

725
00:37:06,800 --> 00:37:09,200
Speaker 1: what you want, what you're good at, Like those are

726
00:37:09,320 --> 00:37:13,400
Speaker 1: key qualities. Absolutely, it's key skills that you need to master.

727
00:37:14,120 --> 00:37:18,279
Speaker 1: But self obsession is a different thing. Narcissism is a

728
00:37:18,320 --> 00:37:21,680
Speaker 1: different thing. And you know, get out of yourself. I mean,

729
00:37:21,719 --> 00:37:24,080
Speaker 1: just do whatever you can to get out of yourself.

730
00:37:24,120 --> 00:37:26,400
Speaker 1: Not even for moral reasons, so I think those apply,

731
00:37:27,280 --> 00:37:30,600
Speaker 1: but for practical reasons. You'll be happier the less you

732
00:37:30,600 --> 00:37:33,359
Speaker 1: think about yourself, Like stop googling yourself, stop taking your

733
00:37:33,360 --> 00:37:36,040
Speaker 1: fucking self piece, like get off your phone, talk to

734
00:37:36,120 --> 00:37:39,440
Speaker 1: other people, worry about them. You'll be way happier if

735
00:37:39,480 --> 00:37:41,319
Speaker 1: you do that. And this is like so obvious. I'm

736
00:37:41,360 --> 00:37:43,720
Speaker 1: embarrassed to say it, but it just struck me yesterday,

737
00:37:43,880 --> 00:37:46,880
Speaker 1: like just in me. You know, when I think about myself,

738
00:37:46,920 --> 00:37:49,879
Speaker 1: I become unhappy. It's true, I think, and I think

739
00:37:49,880 --> 00:37:52,600
Speaker 1: it's true for everybody. Well, I actually had accidentally left

740
00:37:52,640 --> 00:37:54,560
Speaker 1: my phone at home when I went away for a

741
00:37:54,560 --> 00:37:57,080
Speaker 1: weekend in the Keys, and it was like one of

742
00:37:57,120 --> 00:37:59,960
Speaker 1: the best weekends I've had because I was completely connected

743
00:38:00,000 --> 00:38:01,719
Speaker 1: it I'm saying, but it was really it was sad.

744
00:38:01,800 --> 00:38:05,080
Speaker 1: It made me really sad about what dominance or phones

745
00:38:05,200 --> 00:38:07,239
Speaker 1: have on our lives. I was so happy, I was

746
00:38:07,280 --> 00:38:09,960
Speaker 1: so in the moment, just truly enjoying things in a

747
00:38:10,000 --> 00:38:12,880
Speaker 1: way that you don't when you're checking work emails or

748
00:38:12,920 --> 00:38:16,279
Speaker 1: on this or that, and it. I mean, it's almost like,

749
00:38:17,640 --> 00:38:20,279
Speaker 1: I think we'd all be a lot happier without you know,

750
00:38:20,360 --> 00:38:22,840
Speaker 1: these cell phones, without social media, all these things that

751
00:38:22,920 --> 00:38:26,120
Speaker 1: take us away from the real moments in life and

752
00:38:26,239 --> 00:38:28,640
Speaker 1: you know, those relationships and the things that really matter

753
00:38:28,719 --> 00:38:32,520
Speaker 1: and happiness. Yeah, I'm not going to recommend Ted Kaczynski's

754
00:38:32,560 --> 00:38:34,320
Speaker 1: second book, the one who Wrote from Prison, because that

755
00:38:34,320 --> 00:38:37,279
Speaker 1: would be too radical for your listeners. But but let

756
00:38:37,280 --> 00:38:38,799
Speaker 1: me just but I just want to get it out

757
00:38:38,800 --> 00:38:40,799
Speaker 1: there for those who are interested, you know, maybe check

758
00:38:40,800 --> 00:38:44,920
Speaker 1: it out. But um, I would say, yeah, technology, we

759
00:38:44,960 --> 00:38:48,120
Speaker 1: have not we have not grappled with the effects of it.

760
00:38:48,160 --> 00:38:50,000
Speaker 1: I mean, we had the we had the industrial Revolution,

761
00:38:50,040 --> 00:38:53,040
Speaker 1: and it caused you know, political revolutions, it caused Marxism,

762
00:38:53,120 --> 00:38:55,840
Speaker 1: you know, around the world, and now we've had this

763
00:38:55,920 --> 00:38:58,439
Speaker 1: digital revolution. We're pretending that like, oh, everything is kind

764
00:38:58,440 --> 00:39:00,759
Speaker 1: of the same. No, no, no, no, no, there are

765
00:39:00,800 --> 00:39:04,640
Speaker 1: consequences of this are um are are yet to be visible,

766
00:39:05,160 --> 00:39:07,880
Speaker 1: but they're going to be really, they're gonna be profound.

767
00:39:08,120 --> 00:39:11,120
Speaker 1: I would say, obviously, did to make another obvious point,

768
00:39:11,160 --> 00:39:14,680
Speaker 1: which is my specialty? No, that's how your specialty. Uh, Tucker.

769
00:39:15,040 --> 00:39:17,520
Speaker 1: I really appreciate you making the time for my podcast.

770
00:39:17,560 --> 00:39:20,200
Speaker 1: It means a lot, and it was thank you for

771
00:39:20,239 --> 00:39:23,520
Speaker 1: having I'm the biggest Tucker Carlson fan. I hope you

772
00:39:23,560 --> 00:39:26,480
Speaker 1: guys are too quick. Commercial break, and then back with

773
00:39:26,520 --> 00:39:32,960
Speaker 1: my interview with Maximolaveris on the other side. I love

774
00:39:33,040 --> 00:39:36,600
Speaker 1: this episode. It was episode seven with Maximo Alveries. He

775
00:39:36,719 --> 00:39:40,480
Speaker 1: fled communist Cuba to come to America and he warns

776
00:39:40,600 --> 00:39:46,200
Speaker 1: us about how communism has infiltrated all of our institutions. Listen. So,

777
00:39:46,239 --> 00:39:49,000
Speaker 1: when I was thinking about all these concerns that honestly

778
00:39:49,120 --> 00:39:51,799
Speaker 1: come to mind to me every single day, I'm constantly

779
00:39:51,800 --> 00:39:54,680
Speaker 1: worried about the direction or country is heading, constantly feeling

780
00:39:54,760 --> 00:39:57,880
Speaker 1: like communism is at our doorstep right here in America.

781
00:39:58,320 --> 00:40:00,600
Speaker 1: So in thinking about all this and thinking about who

782
00:40:00,640 --> 00:40:03,360
Speaker 1: to have on the show, was a guest. Maximo Avaris

783
00:40:03,480 --> 00:40:05,919
Speaker 1: came to mind. You all at home might remember him

784
00:40:06,000 --> 00:40:10,640
Speaker 1: from the Republican National Convention, and he gave an incredibly

785
00:40:10,719 --> 00:40:15,400
Speaker 1: emotional speech talking about his journey, talking about escaping, fleeing

786
00:40:16,040 --> 00:40:20,160
Speaker 1: communist Cuba and coming to America at age thirteen. He

787
00:40:20,200 --> 00:40:23,160
Speaker 1: has had a tremendously successful career in the oil industry.

788
00:40:23,200 --> 00:40:27,680
Speaker 1: He is the founder and heads Sunshine Gasoline. So he

789
00:40:27,760 --> 00:40:30,120
Speaker 1: is the epitome of the American dream. And if there

790
00:40:30,200 --> 00:40:33,160
Speaker 1: is anyone who knows how quickly a country can lose

791
00:40:33,160 --> 00:40:36,799
Speaker 1: its freedom, it's Maximo. So that's what we're gonna talk

792
00:40:36,840 --> 00:40:39,560
Speaker 1: to him about today. Maximo, thanks so much for coming

793
00:40:39,600 --> 00:40:42,000
Speaker 1: on the Truth with Lisa Booth. It's such an honor

794
00:40:42,040 --> 00:40:45,160
Speaker 1: to talk to you today about freedom. And we're also neighbors.

795
00:40:45,160 --> 00:40:47,719
Speaker 1: So I just I actually just like left New York

796
00:40:47,800 --> 00:40:51,440
Speaker 1: City to to move to Florida for the primary reason

797
00:40:51,480 --> 00:40:55,359
Speaker 1: of wanting to come to a free state. Welcome, thank you,

798
00:40:55,480 --> 00:40:57,960
Speaker 1: thank you. Sorry, I'm in Miami. I love it. Uh

799
00:40:58,080 --> 00:41:00,560
Speaker 1: So Maximo at the RNC convention, and you know, you

800
00:41:00,600 --> 00:41:03,399
Speaker 1: talked about your story. You fled Cuba at the age

801
00:41:03,440 --> 00:41:07,040
Speaker 1: of as part of Operation Pedro Pan. What do you

802
00:41:07,080 --> 00:41:12,520
Speaker 1: remember about Cuba, Well, I remember what's revidly about Cuba,

803
00:41:13,080 --> 00:41:16,239
Speaker 1: and a lot of the things that you know amazes me.

804
00:41:16,440 --> 00:41:20,840
Speaker 1: People did not know that Cuba in the fifties was

805
00:41:21,120 --> 00:41:28,320
Speaker 1: pretty much another state of our great United States of America. Uh.

806
00:41:28,400 --> 00:41:33,560
Speaker 1: We're an independent country, of course, but we enjoyed the

807
00:41:33,640 --> 00:41:38,280
Speaker 1: same standard of living. Our currency was at the same

808
00:41:38,360 --> 00:41:41,600
Speaker 1: value of the American dollar. It's a matter of fact,

809
00:41:41,800 --> 00:41:48,040
Speaker 1: the Cuban peso circulated as much as the dollar. We

810
00:41:48,160 --> 00:41:51,320
Speaker 1: had all of the benefits that you have in the

811
00:41:51,400 --> 00:41:56,320
Speaker 1: United States. Just to give you an idea, when General

812
00:41:56,400 --> 00:42:00,960
Speaker 1: Motors would put out the cars to the mark let's say,

813
00:42:01,040 --> 00:42:06,960
Speaker 1: let's say in October September, a month before they were

814
00:42:06,960 --> 00:42:10,720
Speaker 1: already sent to Cuba, where a lot of American people

815
00:42:10,760 --> 00:42:16,160
Speaker 1: will go to Cuba by an automobile right around, send

816
00:42:16,200 --> 00:42:18,400
Speaker 1: it in the ferry and not pay the taxes. So

817
00:42:18,520 --> 00:42:22,319
Speaker 1: you could buy a Chevrolet or the Forward or any

818
00:42:22,400 --> 00:42:25,560
Speaker 1: vehicles just about for the less that you could buy

819
00:42:25,560 --> 00:42:29,360
Speaker 1: in the United States. Because you said the taxes. Cuba

820
00:42:29,600 --> 00:42:32,640
Speaker 1: was what it is at the time in the fifties,

821
00:42:33,600 --> 00:42:41,840
Speaker 1: similar to what it is Las Vegas today. People tourism, flourish,

822
00:42:42,280 --> 00:42:44,640
Speaker 1: people went there to have a good time. As a

823
00:42:44,719 --> 00:42:46,880
Speaker 1: matter of fact, you could just you know, fly to

824
00:42:47,760 --> 00:42:52,920
Speaker 1: Cuba in less than an hour goal and stay the

825
00:42:53,000 --> 00:42:56,759
Speaker 1: weekend in hotels just as luxurious as the ones in

826
00:42:56,800 --> 00:43:00,319
Speaker 1: Miami and the ones in New York. So that's the

827
00:43:00,360 --> 00:43:08,560
Speaker 1: cube that I remember. I also remember our education, which

828
00:43:08,560 --> 00:43:12,719
Speaker 1: he was really impacted. And this is the biggest impact

829
00:43:13,400 --> 00:43:19,680
Speaker 1: that we had when we lost our country. I remember

830
00:43:20,560 --> 00:43:25,960
Speaker 1: how my mom, when I didn't behave, used to threaten

831
00:43:26,040 --> 00:43:30,759
Speaker 1: me that if I didn't behave the next day, I

832
00:43:30,800 --> 00:43:35,320
Speaker 1: would not be allowed to go to school. That was instant,

833
00:43:36,280 --> 00:43:41,400
Speaker 1: because oh my lord, I couldn't miss school. As a

834
00:43:41,400 --> 00:43:43,320
Speaker 1: matter of fact, I don't remember what ever missing school

835
00:43:43,360 --> 00:43:46,680
Speaker 1: one day. I remember going to school when I had

836
00:43:46,680 --> 00:43:48,480
Speaker 1: a fever and we had a stomach ache. I wouldn't

837
00:43:48,480 --> 00:43:50,680
Speaker 1: tell my mom because I was afraid I was going

838
00:43:50,719 --> 00:43:55,280
Speaker 1: to be left at home. And that is the things

839
00:43:55,400 --> 00:43:58,359
Speaker 1: that we remember that all of a sudden, from one

840
00:43:58,400 --> 00:44:05,200
Speaker 1: day to the next, everything changed. My school was confiscated,

841
00:44:06,840 --> 00:44:10,640
Speaker 1: all the private property was taken away. People were getting

842
00:44:10,760 --> 00:44:16,840
Speaker 1: killed against a wall. They were running trials in mass

843
00:44:16,880 --> 00:44:20,840
Speaker 1: trials because they didn't have enough time in the day

844
00:44:20,880 --> 00:44:24,000
Speaker 1: to execute people. So you go to trial at nine

845
00:44:24,000 --> 00:44:26,000
Speaker 1: o'clock in the morning, you get convicted at ten at

846
00:44:26,000 --> 00:44:33,000
Speaker 1: eleven o'clock against the wall, no appeals, nothing. Our system

847
00:44:33,239 --> 00:44:36,080
Speaker 1: was pretty much the same as the one we have

848
00:44:36,200 --> 00:44:40,200
Speaker 1: here in the United States, and all of a sudden

849
00:44:40,239 --> 00:44:46,440
Speaker 1: that change. I remember crying and being upset because as

850
00:44:46,480 --> 00:44:50,640
Speaker 1: Castle takes over, my friends were marching in the streets.

851
00:44:52,200 --> 00:44:58,080
Speaker 1: Did you and our revolutionary kids a moment that wouldn't

852
00:44:58,120 --> 00:45:00,319
Speaker 1: let me do that? And I remember, as I want

853
00:45:00,320 --> 00:45:03,880
Speaker 1: to be with my friends, these are my neighbors. This

854
00:45:04,000 --> 00:45:07,440
Speaker 1: is the same kids to go to my school. Thank god,

855
00:45:07,520 --> 00:45:12,959
Speaker 1: Mom and Dad knew because they understood communism because many

856
00:45:13,040 --> 00:45:17,720
Speaker 1: years before they migrated to Cue are running away from Spain.

857
00:45:20,560 --> 00:45:24,680
Speaker 1: So I have that in my blood because not only

858
00:45:24,719 --> 00:45:27,040
Speaker 1: I learned from Mom and dad, which when you're young,

859
00:45:27,160 --> 00:45:31,880
Speaker 1: you don't seem to pay much attention to that, but

860
00:45:31,920 --> 00:45:35,720
Speaker 1: then it happened to me. Also it happened to them,

861
00:45:35,760 --> 00:45:38,120
Speaker 1: and it happened to everybody who has ever come to

862
00:45:38,200 --> 00:45:45,480
Speaker 1: this country looking for one thing, which is called freedom.

863
00:45:45,520 --> 00:45:49,319
Speaker 1: And you know why I'm so sad today because I

864
00:45:49,320 --> 00:45:52,960
Speaker 1: saw this coming. I not only said it in that

865
00:45:53,080 --> 00:45:55,800
Speaker 1: speech at the convention. What I've been saying this before.

866
00:45:58,360 --> 00:46:01,080
Speaker 1: I started saying that when all of a sudden we

867
00:46:01,160 --> 00:46:03,840
Speaker 1: had a low passing us in our country, that you

868
00:46:03,880 --> 00:46:10,799
Speaker 1: couldn't say the prayer in school, that's the beginning. That's

869
00:46:10,800 --> 00:46:15,080
Speaker 1: how they do. I saw it when when you will

870
00:46:15,120 --> 00:46:21,120
Speaker 1: be offended because you were called a name. I saw

871
00:46:21,160 --> 00:46:27,640
Speaker 1: it when when you have to be politically correct. I

872
00:46:27,680 --> 00:46:31,240
Speaker 1: saw these things coming and every time there's a shooting,

873
00:46:31,840 --> 00:46:35,879
Speaker 1: how they want to take your guns away. I saw

874
00:46:35,920 --> 00:46:43,120
Speaker 1: it when when even the Catholic people say nothing against abortion.

875
00:46:46,800 --> 00:46:55,800
Speaker 1: But this is something that really hurts because very few people,

876
00:46:56,920 --> 00:47:00,600
Speaker 1: I for one, who had never imagined that this country

877
00:47:00,760 --> 00:47:06,439
Speaker 1: would be vulnerable to communism. But long the whole, if

878
00:47:06,440 --> 00:47:10,800
Speaker 1: you go back in history and you hear the speech

879
00:47:10,880 --> 00:47:15,880
Speaker 1: that Nikita Krushchev said, I think it was nineteen at

880
00:47:15,920 --> 00:47:19,040
Speaker 1: the United Nations. By the way, Nikita Kruschev, for those

881
00:47:19,080 --> 00:47:20,840
Speaker 1: of you who may not know, it's the equivalent of

882
00:47:20,920 --> 00:47:24,560
Speaker 1: putting today in Russia. And he had visited the Fidel

883
00:47:24,560 --> 00:47:27,520
Speaker 1: Castro in Cuba, and then he went and gave a

884
00:47:27,560 --> 00:47:31,560
Speaker 1: speech at the United Nations. And in that speech he says,

885
00:47:33,880 --> 00:47:37,200
Speaker 1: one day the United States of America will be communists

886
00:47:38,040 --> 00:47:41,320
Speaker 1: and we will not even have a war. We will

887
00:47:41,440 --> 00:47:48,320
Speaker 1: infiltrate their education, will infiltrate your society, will infiltrate the youth.

888
00:47:49,000 --> 00:47:51,640
Speaker 1: And I want to play this clip for the audience

889
00:47:51,880 --> 00:47:55,200
Speaker 1: from your RNC convention, and then um, I want to

890
00:47:55,239 --> 00:47:58,480
Speaker 1: ask you a question after it. Let's play this. I

891
00:47:58,600 --> 00:48:02,360
Speaker 1: have seen people like this big for I've seen movements

892
00:48:02,440 --> 00:48:07,680
Speaker 1: like this before. I've seen ideas like this before, and

893
00:48:07,760 --> 00:48:11,000
Speaker 1: I am here to tell you we cannot let them

894
00:48:11,040 --> 00:48:15,760
Speaker 1: take over our country. I heard the promises of Fidel Castro,

895
00:48:17,040 --> 00:48:20,480
Speaker 1: and I can never forget all those who grew up

896
00:48:20,480 --> 00:48:26,520
Speaker 1: around me, who looked like me, who suffered and starved

897
00:48:26,920 --> 00:48:32,840
Speaker 1: and died because they believe those empty promises. They swallowed

898
00:48:32,880 --> 00:48:37,200
Speaker 1: the communist poison pill. Sir, as we're listening to earlier,

899
00:48:37,200 --> 00:48:40,560
Speaker 1: you're talking about communism coming to hear on the American soil.

900
00:48:40,640 --> 00:48:43,280
Speaker 1: As we just heard your RNC convention, you had talked

901
00:48:43,320 --> 00:48:47,960
Speaker 1: about how people in Cuba had swallowed the communist poison pill.

902
00:48:48,640 --> 00:48:53,040
Speaker 1: Have Americans swallowed the communist poison pill? Not only they

903
00:48:53,040 --> 00:48:56,719
Speaker 1: have swallowed, they digesting it. Listen to the media. They're

904
00:48:56,760 --> 00:49:00,720
Speaker 1: no longer objective. You can tell how much they hate

905
00:49:00,719 --> 00:49:05,839
Speaker 1: this country. Look at our our academia. Our kids are

906
00:49:05,880 --> 00:49:11,280
Speaker 1: not being did in doctrinated. They are thought that America

907
00:49:11,360 --> 00:49:14,040
Speaker 1: is a bad country. There were a bunch of racists,

908
00:49:14,840 --> 00:49:16,800
Speaker 1: that we're bad people and we'll have to pay back.

909
00:49:18,480 --> 00:49:22,919
Speaker 1: If this country was racist, I wouldn't be here. If

910
00:49:22,920 --> 00:49:26,760
Speaker 1: this country was a racist country, most of us willn't

911
00:49:26,760 --> 00:49:29,560
Speaker 1: be here because even some people in your family came

912
00:49:29,560 --> 00:49:34,600
Speaker 1: from another country. This country was made of immigrants. That

913
00:49:34,840 --> 00:49:38,799
Speaker 1: we have racist people in this country, of course we do.

914
00:49:38,800 --> 00:49:41,400
Speaker 1: Do we have bad people, yes we do. Do we

915
00:49:41,520 --> 00:49:43,839
Speaker 1: have bad teachers, yes we do. Do we have bad

916
00:49:43,840 --> 00:49:47,040
Speaker 1: police people, yes we do. But con'mpling the country for

917
00:49:47,120 --> 00:49:51,239
Speaker 1: that because we have a justice system that will penalize

918
00:49:51,239 --> 00:49:54,360
Speaker 1: you and punish you if you are a bad person,

919
00:49:54,560 --> 00:49:59,680
Speaker 1: if you are a racist, But don't don't make our

920
00:50:00,000 --> 00:50:04,080
Speaker 1: would then believe that we have to pay back because

921
00:50:04,120 --> 00:50:07,920
Speaker 1: America is a bad country. And this is what it's

922
00:50:07,960 --> 00:50:14,040
Speaker 1: so sad. Whenever we make a donation, most people who

923
00:50:14,040 --> 00:50:17,720
Speaker 1: make donations try to find out where is that money going,

924
00:50:19,160 --> 00:50:22,719
Speaker 1: Who are you helping? What is the American Cancer Society,

925
00:50:23,360 --> 00:50:26,279
Speaker 1: or whether it's your church, or whether it's a politician.

926
00:50:27,440 --> 00:50:29,880
Speaker 1: You have much money they're sending into black lives matter,

927
00:50:31,160 --> 00:50:33,840
Speaker 1: and people don't want to understand that these three ladies

928
00:50:33,880 --> 00:50:42,120
Speaker 1: to control this company are bragging about Marcist learninism, their communists.

929
00:50:42,160 --> 00:50:46,920
Speaker 1: They tell you that, and nobody understands what that means.

930
00:50:48,239 --> 00:50:52,319
Speaker 1: And then you have people who are supposed to be

931
00:50:54,280 --> 00:51:00,320
Speaker 1: role models to our kids who tell you, I'm afraid

932
00:51:00,360 --> 00:51:02,480
Speaker 1: when I left the house in the morning because I

933
00:51:02,520 --> 00:51:07,399
Speaker 1: happened to be black. Really, are you afraid that you're

934
00:51:07,400 --> 00:51:10,560
Speaker 1: making three million dollars in this racist country for shooting

935
00:51:10,560 --> 00:51:16,200
Speaker 1: the basketball? Isn't that sad? And then when you have

936
00:51:16,280 --> 00:51:20,719
Speaker 1: a black person to tell you, ay this in this

937
00:51:21,080 --> 00:51:24,520
Speaker 1: our problem is ours. What is the thirteen year old

938
00:51:24,600 --> 00:51:26,279
Speaker 1: kid doing out in the streets at two o'clock in

939
00:51:26,320 --> 00:51:30,480
Speaker 1: the morning with a gun? Was mom and dad. The

940
00:51:30,600 --> 00:51:32,880
Speaker 1: police officer didn't go there to kill that kid. The

941
00:51:32,880 --> 00:51:35,759
Speaker 1: police officer went there because somebody called made a call

942
00:51:35,800 --> 00:51:42,719
Speaker 1: in distress, somebody who's being robbed or hurt, and the

943
00:51:42,719 --> 00:51:45,080
Speaker 1: police officer went there. It just happens there was a

944
00:51:45,080 --> 00:51:49,400
Speaker 1: bad police officer made a mistake. Okay, that's fine, but

945
00:51:49,600 --> 00:51:52,600
Speaker 1: that kid is not a hero. That whole lump is

946
00:51:52,640 --> 00:51:56,080
Speaker 1: not a hero. How can you, hi, dare you? How

947
00:51:56,080 --> 00:51:59,680
Speaker 1: can you give somebody's family million dollars before the trial.

948
00:52:01,400 --> 00:52:04,920
Speaker 1: I think from the pressment of the country trying to

949
00:52:05,480 --> 00:52:09,920
Speaker 1: influence a trial, the congress woman influence and trial. Just

950
00:52:10,000 --> 00:52:13,720
Speaker 1: think about dot That is all communism, quick commercial break

951
00:52:13,719 --> 00:52:19,080
Speaker 1: back on the other side, So I loved being able

952
00:52:19,160 --> 00:52:23,520
Speaker 1: to interview Dr Scott Atlas. He really uncovered how much

953
00:52:23,640 --> 00:52:29,160
Speaker 1: government failed us throughout COVID. He put Dr Burke's Dr

954
00:52:29,200 --> 00:52:33,520
Speaker 1: Faucci on blast, really exposing their weaknesses and how moronic

955
00:52:33,600 --> 00:52:36,959
Speaker 1: they are to be perfectly honest, and also got into

956
00:52:36,960 --> 00:52:39,799
Speaker 1: all the failures with things like lockdowns when the data

957
00:52:39,840 --> 00:52:42,640
Speaker 1: showed otherwise. I hope you liked this one too with

958
00:52:42,760 --> 00:52:46,120
Speaker 1: Dr Scott Atlas. This was episode thirty nine. You talk

959
00:52:46,160 --> 00:52:49,000
Speaker 1: about how the human cost of lockdowns was never discussed

960
00:52:49,000 --> 00:52:51,560
Speaker 1: by the task task Force and ignored by Dr five

961
00:52:51,840 --> 00:52:55,200
Speaker 1: and Dr Burkes. Why was that ignored? I mean you

962
00:52:55,200 --> 00:52:57,480
Speaker 1: would think that their job would be to take the

963
00:52:57,520 --> 00:53:01,600
Speaker 1: totality of the situation into a out. That's right. I

964
00:53:01,640 --> 00:53:04,640
Speaker 1: mean there was a gross what I call a gross

965
00:53:04,680 --> 00:53:09,040
Speaker 1: failure of morality in the public health leadership when you're

966
00:53:09,120 --> 00:53:14,640
Speaker 1: leading public health interventions. What they did was they considered

967
00:53:14,719 --> 00:53:18,200
Speaker 1: one and only one illness. Stopping COVID nineteen cases at

968
00:53:18,200 --> 00:53:21,640
Speaker 1: all costs. To me, that's just a gross failure. That's

969
00:53:21,680 --> 00:53:25,560
Speaker 1: not what appropriate public health policy is. Public health policy

970
00:53:26,200 --> 00:53:30,560
Speaker 1: must take into account the totality of impact of health

971
00:53:31,600 --> 00:53:35,440
Speaker 1: from the policy itself. You can stop all cases of

972
00:53:35,520 --> 00:53:39,919
Speaker 1: COVID if you killed everybody for instance. Okay, of course

973
00:53:39,960 --> 00:53:42,800
Speaker 1: this is ludicrous. I'm just pointing out something sort of

974
00:53:42,960 --> 00:53:46,080
Speaker 1: to the absurd extreme. The point of a public health

975
00:53:46,120 --> 00:53:49,520
Speaker 1: policy is to take an account also what you're doing

976
00:53:49,560 --> 00:53:53,040
Speaker 1: to people. And we see from the data that they

977
00:53:53,840 --> 00:53:56,919
Speaker 1: You know, there's a study from UH in June, from

978
00:53:57,000 --> 00:54:00,680
Speaker 1: Rand Institute and USC that shows that the the lockdowns

979
00:54:00,680 --> 00:54:04,640
Speaker 1: didn't just fail. The lockdowns increased the dusk. The earlier

980
00:54:04,680 --> 00:54:08,160
Speaker 1: the lockdowns were put on, the more deaths occurred. When bess,

981
00:54:08,200 --> 00:54:12,120
Speaker 1: we're falling and lockdowns were implemented, that's increased. And this

982
00:54:12,160 --> 00:54:15,080
Speaker 1: is analysis of forty three countries and in all of

983
00:54:15,120 --> 00:54:17,719
Speaker 1: the states in the United States. I think it's a

984
00:54:17,880 --> 00:54:22,239
Speaker 1: highly important paper to read from June, and so yes,

985
00:54:22,320 --> 00:54:25,120
Speaker 1: it was a gross failure. In fact, this is why

986
00:54:25,160 --> 00:54:29,600
Speaker 1: you can't We had the wrong people advising UH policy.

987
00:54:29,840 --> 00:54:33,319
Speaker 1: Don't forget Dr Burke's was the task Force coordinator, so

988
00:54:33,400 --> 00:54:36,520
Speaker 1: that means she was the official voice and head of

989
00:54:36,560 --> 00:54:40,720
Speaker 1: the medical policy. She wrote all of the policy advice

990
00:54:40,760 --> 00:54:43,520
Speaker 1: to all the governors that were the official policy of

991
00:54:43,560 --> 00:54:47,120
Speaker 1: the White House, the task Force, and she visited dozens

992
00:54:47,160 --> 00:54:50,279
Speaker 1: of states, and you know, with those visits all these

993
00:54:50,280 --> 00:54:54,960
Speaker 1: public health officials. I visited one state, Florida. Unfortunately, the

994
00:54:55,000 --> 00:54:58,960
Speaker 1: lockdowns were implemented. They succeeded the Burke Spouchy lockdowns were

995
00:54:59,000 --> 00:55:03,600
Speaker 1: successfully transmitted to the governors who implemented them throughout most

996
00:55:03,640 --> 00:55:08,360
Speaker 1: of the country throughout the entire year of and they failed.

997
00:55:08,400 --> 00:55:11,240
Speaker 1: They failed to stop the spread, they failed to protect

998
00:55:11,239 --> 00:55:14,040
Speaker 1: the elderly, and they destroyed families. And I've said this

999
00:55:14,120 --> 00:55:16,759
Speaker 1: many times, but it's so important because this is the

1000
00:55:16,760 --> 00:55:20,440
Speaker 1: biggest failure of public health policy and modern history. Well yeah,

1001
00:55:20,520 --> 00:55:22,279
Speaker 1: I mean I think it's the you know that the

1002
00:55:22,280 --> 00:55:24,440
Speaker 1: biggest failure of the media. I mean, it's just I

1003
00:55:24,560 --> 00:55:28,240
Speaker 1: don't think people really realize we've just had a complete

1004
00:55:28,239 --> 00:55:32,560
Speaker 1: reshaping of American society throughout COVID, from the role of

1005
00:55:32,560 --> 00:55:34,600
Speaker 1: the federal government and our lives to the role of

1006
00:55:34,600 --> 00:55:37,520
Speaker 1: the media, place loss of loss and trust of institutions.

1007
00:55:37,520 --> 00:55:41,160
Speaker 1: I mean there's just been a complete and total societal breakdown,

1008
00:55:41,560 --> 00:55:44,920
Speaker 1: and I don't think that's been fully discovered yet. You

1009
00:55:44,920 --> 00:55:47,239
Speaker 1: talk about too, like another big aspect of this was

1010
00:55:47,320 --> 00:55:51,080
Speaker 1: just getting kids back to school, right, these low risk kids,

1011
00:55:51,120 --> 00:55:53,680
Speaker 1: of allowing them to live their lives. And you talk

1012
00:55:53,719 --> 00:55:57,480
Speaker 1: about like, even in the presence of actual data, that

1013
00:55:57,560 --> 00:56:01,120
Speaker 1: people like Fauci, Berkes and Redfield were so resistant to

1014
00:56:01,200 --> 00:56:04,680
Speaker 1: getting these kids back in school. Talk about that, sure, well,

1015
00:56:04,719 --> 00:56:07,080
Speaker 1: I mean, I distinctly remember, of course, one of the

1016
00:56:07,480 --> 00:56:11,080
Speaker 1: uh one of the earliest Task Force meetings that I

1017
00:56:11,120 --> 00:56:14,520
Speaker 1: went to, which was I think, you know, mid mid August,

1018
00:56:15,239 --> 00:56:19,400
Speaker 1: and the Vice President who was administratively running the Task Force,

1019
00:56:19,960 --> 00:56:23,360
Speaker 1: had wanted me to talk about the risk to children

1020
00:56:23,600 --> 00:56:26,800
Speaker 1: these are these schools opening. And I went through the data.

1021
00:56:26,880 --> 00:56:28,759
Speaker 1: In fact, I had brought with me more than a

1022
00:56:28,800 --> 00:56:31,879
Speaker 1: dozen papers in my briefcase, and I pulled them out

1023
00:56:31,880 --> 00:56:34,359
Speaker 1: and I went through. I cited the data from all

1024
00:56:34,360 --> 00:56:37,320
Speaker 1: over the world on the extremely low risk to healthy children,

1025
00:56:37,680 --> 00:56:41,520
Speaker 1: the extremely low risk of transmission from children, and the

1026
00:56:41,680 --> 00:56:46,759
Speaker 1: documented lack of high risk to teachers in schools from

1027
00:56:46,760 --> 00:56:48,920
Speaker 1: all over the world. And I went through a little

1028
00:56:49,000 --> 00:56:51,120
Speaker 1: you know, let's just say five to ten minutes on this,

1029
00:56:51,880 --> 00:56:56,240
Speaker 1: and there was silence from Dr Burke's, silence from Dr Fauci.

1030
00:56:56,320 --> 00:56:58,440
Speaker 1: There was no refutation of what I said. They didn't

1031
00:56:58,480 --> 00:57:02,000
Speaker 1: cite a single study. And the Vice President turned to

1032
00:57:02,160 --> 00:57:04,840
Speaker 1: Dr Redfield and said, well, what do you think, Bob,

1033
00:57:06,040 --> 00:57:09,640
Speaker 1: and Redfield leaned back, thought for a second. He said,

1034
00:57:09,920 --> 00:57:12,440
Speaker 1: let's just say the jury is still out. That was

1035
00:57:12,480 --> 00:57:15,160
Speaker 1: the end of the discussion. I mean, you know, this

1036
00:57:15,239 --> 00:57:20,520
Speaker 1: is no scientific uh knowledge about the data, nothing to

1037
00:57:20,600 --> 00:57:24,800
Speaker 1: refute what I said. And then you know that this

1038
00:57:24,880 --> 00:57:27,760
Speaker 1: sort of was very confusing to the public because and

1039
00:57:27,840 --> 00:57:31,320
Speaker 1: harmful the advice. As we know, the schools in the

1040
00:57:31,400 --> 00:57:33,840
Speaker 1: United States were closed in the fall term. All the

1041
00:57:33,960 --> 00:57:38,400
Speaker 1: pure nations in Western Europe opened the schools. We were

1042
00:57:38,480 --> 00:57:45,200
Speaker 1: the outlier. The American educational system was a complete, really

1043
00:57:45,240 --> 00:57:49,680
Speaker 1: immoral abuse of children by shutting down schools, and they

1044
00:57:49,760 --> 00:57:53,960
Speaker 1: had impact. The isolation was extraordinarily harmful. I mean, the

1045
00:57:54,000 --> 00:57:57,160
Speaker 1: way I think of it, there's nothing more important that

1046
00:57:57,280 --> 00:58:01,080
Speaker 1: a society does and educate its children. Yet we chose

1047
00:58:01,440 --> 00:58:04,720
Speaker 1: out of fear and ignorance, and in my view it

1048
00:58:04,840 --> 00:58:09,960
Speaker 1: was too with this uh miss misinappropriate idea of protecting

1049
00:58:10,040 --> 00:58:15,760
Speaker 1: adults by using children, sacrificing children even though the children,

1050
00:58:15,800 --> 00:58:18,280
Speaker 1: healthy children, did not have a significant risk from COVID

1051
00:58:18,600 --> 00:58:21,000
Speaker 1: and that's been proven, that was known then. It's not

1052
00:58:21,160 --> 00:58:24,960
Speaker 1: new information, by the way, So you know this is

1053
00:58:25,040 --> 00:58:28,480
Speaker 1: really it's almost unspeakable what was done. Well, you know

1054
00:58:28,520 --> 00:58:30,840
Speaker 1: they're doing that now with vaccines as well. You know,

1055
00:58:30,880 --> 00:58:33,800
Speaker 1: even children who aren't at risk. They're essentially, you know,

1056
00:58:34,000 --> 00:58:36,400
Speaker 1: trying to to push kids to to get them, which

1057
00:58:36,920 --> 00:58:39,880
Speaker 1: sort of defies logic. In my book, Um, so I

1058
00:58:39,880 --> 00:58:41,920
Speaker 1: thought you'd get a kick out of this. So Political

1059
00:58:42,240 --> 00:58:46,280
Speaker 1: Political Playbook wrote about how Faucy was at a Jonathan

1060
00:58:46,400 --> 00:58:50,400
Speaker 1: Carl book party, and it notes that he kept taking

1061
00:58:50,400 --> 00:58:52,400
Speaker 1: the mask on and off for cockers who are trying

1062
00:58:52,400 --> 00:58:54,160
Speaker 1: to take pictures of them with it out his mask on,

1063
00:58:54,800 --> 00:58:56,840
Speaker 1: and then when asked about it, he said, I just

1064
00:58:56,880 --> 00:58:59,080
Speaker 1: decided that if anyone came up to me that I

1065
00:58:59,080 --> 00:59:01,760
Speaker 1: didn't know, I would put my mask on. Doesn't that

1066
00:59:01,920 --> 00:59:06,439
Speaker 1: summarize the theater surrounding masks and also explain Fauci a lot. Well,

1067
00:59:06,760 --> 00:59:09,400
Speaker 1: let's hits with this. Anybody who thinks that that makes

1068
00:59:09,440 --> 00:59:13,560
Speaker 1: sense is I mean, you know, I don't want to

1069
00:59:13,600 --> 00:59:15,880
Speaker 1: be rude, but I mean That is just ludicrous. I mean,

1070
00:59:15,920 --> 00:59:18,680
Speaker 1: what what is the what is the basis of putting

1071
00:59:18,720 --> 00:59:22,320
Speaker 1: on a mask because you don't know people. If it's

1072
00:59:22,360 --> 00:59:25,680
Speaker 1: just to uh have an image, I think that it's

1073
00:59:25,800 --> 00:59:28,959
Speaker 1: very revealing. I mean, let's put it this way. It

1074
00:59:29,000 --> 00:59:32,400
Speaker 1: was not uncommon. I heard the people on the task force,

1075
00:59:32,480 --> 00:59:34,920
Speaker 1: the doctors on the task force, refer to people in

1076
00:59:34,960 --> 00:59:38,240
Speaker 1: the media, their media friends by the first name. Okay,

1077
00:59:38,280 --> 00:59:41,680
Speaker 1: this is you know, when I was speaking about the data.

1078
00:59:42,200 --> 00:59:45,480
Speaker 1: The result of that was not talking back to me.

1079
00:59:45,880 --> 00:59:49,160
Speaker 1: The result of that was going outside to their friends

1080
00:59:49,200 --> 00:59:52,240
Speaker 1: and the media and using ad hominum attack and distorting

1081
00:59:52,320 --> 00:59:56,920
Speaker 1: my words. So this was sort of all about the image,

1082
00:59:57,000 --> 00:59:59,040
Speaker 1: the power. I don't know what was going on. I

1083
00:59:59,040 --> 01:00:03,360
Speaker 1: hate to ascribe motive, but there was a gross failure there,

1084
01:00:03,480 --> 01:00:06,320
Speaker 1: and I think this is really uh, we can never

1085
01:00:06,400 --> 01:00:09,880
Speaker 1: let this happen again. We cannot have people who aren't

1086
01:00:09,920 --> 01:00:14,360
Speaker 1: critical thinkers, uh, you know, in charge of a crisis.

1087
01:00:14,400 --> 01:00:17,920
Speaker 1: I mean that this should goes without saying, but I

1088
01:00:17,920 --> 01:00:22,000
Speaker 1: mean this was just a shocking failure. And and you know,

1089
01:00:22,440 --> 01:00:24,680
Speaker 1: they got what they wanted, which were the lockdowns, and

1090
01:00:24,720 --> 01:00:27,440
Speaker 1: the lockdowns failed. So now we're seeing this or welly

1091
01:00:27,560 --> 01:00:31,520
Speaker 1: in attempt to rewrite history, blaming people like me who

1092
01:00:31,520 --> 01:00:34,680
Speaker 1: were opposed to what was implemented for the failure of

1093
01:00:34,680 --> 01:00:38,919
Speaker 1: what was implemented. You know, this is just another kind

1094
01:00:38,960 --> 01:00:41,600
Speaker 1: of thing that shows I mean, it's important for people

1095
01:00:41,640 --> 01:00:43,560
Speaker 1: to understand who are listening. I'm sorry I'm going on,

1096
01:00:43,680 --> 01:00:48,080
Speaker 1: but when you see people who are issuing erratic statements,

1097
01:00:48,200 --> 01:00:51,320
Speaker 1: who are obviously just saying, oh, it's the science, but

1098
01:00:51,360 --> 01:00:53,400
Speaker 1: they don't know the science, or they're doing things that

1099
01:00:53,440 --> 01:00:56,560
Speaker 1: are contrary to science, this is how you decide who

1100
01:00:56,600 --> 01:00:59,360
Speaker 1: to trust. You must be a critical thinker. Now, the

1101
01:00:59,400 --> 01:01:03,400
Speaker 1: burden is on individuals, okay, all of us to become

1102
01:01:03,440 --> 01:01:08,800
Speaker 1: more involved in our own critical thinking, in our own beliefs,

1103
01:01:08,840 --> 01:01:12,240
Speaker 1: in short of our own filter here to decide what

1104
01:01:12,440 --> 01:01:15,720
Speaker 1: is credible what isn't. It's more of an effort but

1105
01:01:15,840 --> 01:01:18,920
Speaker 1: to trust. The blind trust in people who are deemed

1106
01:01:19,160 --> 01:01:23,160
Speaker 1: experts should be gone. That should be gone. We've learned

1107
01:01:23,200 --> 01:01:25,960
Speaker 1: that now. Uh, it's not you know, I don't know

1108
01:01:25,960 --> 01:01:29,400
Speaker 1: if I said this, but you know, we all need

1109
01:01:29,440 --> 01:01:32,040
Speaker 1: to be critical thinkers here to make the best decisions

1110
01:01:32,040 --> 01:01:34,960
Speaker 1: for ourselves and our family. Well, and our MASK policy

1111
01:01:35,000 --> 01:01:37,480
Speaker 1: has always been done because I mean, who thinks it's

1112
01:01:37,480 --> 01:01:39,720
Speaker 1: a good idea to wear one when you enter a

1113
01:01:39,760 --> 01:01:41,640
Speaker 1: restaurant and then you take it off when you're seated

1114
01:01:41,680 --> 01:01:43,560
Speaker 1: next to people, or to wear it on a flight,

1115
01:01:43,680 --> 01:01:45,800
Speaker 1: as we currently do, and then take it off when

1116
01:01:45,800 --> 01:01:47,320
Speaker 1: you're next to people. I mean, none of it has

1117
01:01:47,360 --> 01:01:51,120
Speaker 1: ever made sense, yet they continues to be pushed. I mean,

1118
01:01:51,240 --> 01:01:53,520
Speaker 1: what is the data and the science say about masks?

1119
01:01:53,600 --> 01:01:56,400
Speaker 1: Do they work? Okay? So you know in terms of

1120
01:01:56,440 --> 01:02:01,840
Speaker 1: widespread population mass. Uh, there are several good studies out there,

1121
01:02:01,840 --> 01:02:04,560
Speaker 1: and people should look at the good studies. The best study,

1122
01:02:04,720 --> 01:02:09,959
Speaker 1: the randomized controlled trial of Denmark shows uh. They took

1123
01:02:09,960 --> 01:02:13,120
Speaker 1: more than six thousand people. They took people with masks

1124
01:02:13,160 --> 01:02:16,760
Speaker 1: and people without masks. They tested them by blood test

1125
01:02:17,080 --> 01:02:21,080
Speaker 1: for not just stars too, but other eleven other viruses,

1126
01:02:21,760 --> 01:02:24,680
Speaker 1: and they found that people that wear masks do not

1127
01:02:24,880 --> 01:02:31,400
Speaker 1: have a significantly less incidents of stars to infection. Neither

1128
01:02:31,600 --> 01:02:34,160
Speaker 1: do they have a less lesser incidence of any of

1129
01:02:34,160 --> 01:02:37,320
Speaker 1: the other eleven viruses. By the way, and this corroborates

1130
01:02:37,360 --> 01:02:40,440
Speaker 1: what was known in the randomized trials about influenza that

1131
01:02:40,520 --> 01:02:45,520
Speaker 1: was published by the CDC in May that mass general

1132
01:02:45,560 --> 01:02:50,400
Speaker 1: population masks do not prevent the spread of infection or

1133
01:02:50,840 --> 01:02:55,040
Speaker 1: the becoming infect that the recipient side of it in influenza.

1134
01:02:55,160 --> 01:02:58,240
Speaker 1: Why is that relevant because influenza is the same size

1135
01:02:58,960 --> 01:03:02,080
Speaker 1: as roughly as the stars to virus, which is smaller

1136
01:03:02,120 --> 01:03:06,000
Speaker 1: than the poor size on the mask. Smaller the virus

1137
01:03:06,040 --> 01:03:08,720
Speaker 1: is smaller in the hole in the mask. Secondly, we

1138
01:03:08,760 --> 01:03:11,720
Speaker 1: look at the other studies, look at that Denmark. The

1139
01:03:11,800 --> 01:03:14,480
Speaker 1: next study to look at is the University of Louisville

1140
01:03:14,880 --> 01:03:18,680
Speaker 1: did a very detailed analysis of all the states and

1141
01:03:18,760 --> 01:03:24,200
Speaker 1: their conclusions were that mask wearing mask mandates did not

1142
01:03:24,440 --> 01:03:28,800
Speaker 1: stop the spread of infection, and mask wearing did not

1143
01:03:29,040 --> 01:03:32,880
Speaker 1: stop the spread of infection in states. And then you

1144
01:03:32,920 --> 01:03:36,120
Speaker 1: look at the next UH paper that came out, which

1145
01:03:36,200 --> 01:03:38,000
Speaker 1: is the study that received a lot of attention on

1146
01:03:38,080 --> 01:03:41,760
Speaker 1: Bangladesh villages. And then you know, people were you know,

1147
01:03:41,840 --> 01:03:43,600
Speaker 1: this is after a year and a half, they're still

1148
01:03:44,120 --> 01:03:49,000
Speaker 1: desperately trying to find something that validates masked widespread mask using,

1149
01:03:49,440 --> 01:03:52,160
Speaker 1: and they look at this Bangladesh study which was a

1150
01:03:52,200 --> 01:03:56,360
Speaker 1: study where villagers were instruct some villagers some villages were

1151
01:03:56,360 --> 01:04:00,080
Speaker 1: instructed to wear masks, other villages were not instruct that

1152
01:04:00,120 --> 01:04:02,520
Speaker 1: the wear masks and what the authors reported was an

1153
01:04:02,520 --> 01:04:08,280
Speaker 1: eleven percent decrease in symptomatic COVID in villages that were

1154
01:04:08,280 --> 01:04:11,640
Speaker 1: instructed to wear mass, not in the mass wears necessarily.

1155
01:04:11,720 --> 01:04:15,080
Speaker 1: Just so they said there was a small decrease in

1156
01:04:15,160 --> 01:04:17,320
Speaker 1: symptomatic COVID. And when you look at the data and

1157
01:04:17,320 --> 01:04:21,800
Speaker 1: the studies, not only was that effect small, but the

1158
01:04:21,880 --> 01:04:25,080
Speaker 1: only people they had to reduce incidence of symptomatic COVID

1159
01:04:25,320 --> 01:04:28,400
Speaker 1: were people in a single age bracket fifty and above.

1160
01:04:28,760 --> 01:04:32,320
Speaker 1: People forty to fifty didn't have a decrease, People thirty

1161
01:04:32,320 --> 01:04:35,080
Speaker 1: to forty didn't have a decrease in symptomatic COVID. So

1162
01:04:35,120 --> 01:04:36,880
Speaker 1: you have to wonder did the people who were older,

1163
01:04:36,880 --> 01:04:39,200
Speaker 1: were they more cautious, did they avoid groups that they

1164
01:04:39,200 --> 01:04:41,760
Speaker 1: do other things that might have reduced it. The second

1165
01:04:41,800 --> 01:04:44,080
Speaker 1: part of this that was the surgical mass site. The

1166
01:04:44,120 --> 01:04:47,400
Speaker 1: regular mass of people wear, by the way, had zero

1167
01:04:47,480 --> 01:04:50,920
Speaker 1: significance in terms of its reduction. So the study was

1168
01:04:51,040 --> 01:04:55,120
Speaker 1: lauded in the lay media by these mask uh MASK

1169
01:04:55,440 --> 01:04:58,840
Speaker 1: advocates as proving mass work, but the in fact it

1170
01:04:58,880 --> 01:05:01,880
Speaker 1: was supportive that mass do not have a significant impact

1171
01:05:02,360 --> 01:05:05,520
Speaker 1: on limiting a spread of COVID, and so enough in

1172
01:05:05,520 --> 01:05:08,400
Speaker 1: the infection. So I mean, you know, you know, there's

1173
01:05:08,440 --> 01:05:11,439
Speaker 1: this new study that came out recently, and basically that's

1174
01:05:11,440 --> 01:05:13,960
Speaker 1: just a meta analysis of a bunch of studies in

1175
01:05:13,960 --> 01:05:17,560
Speaker 1: which they in this article admitted that the studies themselves

1176
01:05:17,840 --> 01:05:21,240
Speaker 1: were poor research. Yet somehow this is now the title.

1177
01:05:21,440 --> 01:05:26,320
Speaker 1: So people are desperate, Okay, masks. I'm not for forbidding masks,

1178
01:05:26,320 --> 01:05:29,640
Speaker 1: just like I'm not for forbidding wearing a copper bracelet

1179
01:05:29,680 --> 01:05:31,520
Speaker 1: for arthritis. If you want to wear a mask, if

1180
01:05:31,560 --> 01:05:34,240
Speaker 1: you want to wear a six masks, that's fine, but

1181
01:05:34,480 --> 01:05:38,800
Speaker 1: it's very dangerous to say what Dr Redfield said under Oath.

1182
01:05:39,400 --> 01:05:41,480
Speaker 1: He said two things, and this is in my book

1183
01:05:42,080 --> 01:05:46,280
Speaker 1: Under Oath. He said, where if everybody wore a mask,

1184
01:05:46,360 --> 01:05:50,040
Speaker 1: we'd get rid of the pandemic in six to eight weeks. Okay,

1185
01:05:50,080 --> 01:05:54,040
Speaker 1: that's just completely nonsense, and it's been proven all over

1186
01:05:54,080 --> 01:06:01,120
Speaker 1: the world, including societies where people are wearing masks. Secondly,

1187
01:06:01,640 --> 01:06:04,640
Speaker 1: he said he held up a mask and infamously said,

1188
01:06:05,320 --> 01:06:08,520
Speaker 1: this mask is more protective than a vaccine. Now, why

1189
01:06:08,600 --> 01:06:11,120
Speaker 1: is that a problem. First of all, it's it's completely

1190
01:06:11,200 --> 01:06:16,680
Speaker 1: irrational and bizarre. Second of all, it's dangerous if you

1191
01:06:16,840 --> 01:06:20,600
Speaker 1: think that an old person whose high risk is more

1192
01:06:20,680 --> 01:06:25,280
Speaker 1: protected by wearing a mask. You're endangering them if they

1193
01:06:25,320 --> 01:06:28,920
Speaker 1: think that, and so, uh, you know, this is very dangerous.

1194
01:06:28,960 --> 01:06:32,160
Speaker 1: The misstatements coming out of some of our most trusted

1195
01:06:32,160 --> 01:06:37,640
Speaker 1: public health leaders are shocking. We saw it publicly. I

1196
01:06:37,720 --> 01:06:41,000
Speaker 1: saw it inside the task Force, as I note multiple

1197
01:06:41,120 --> 01:06:44,840
Speaker 1: times multiple conversations in the book. And I think again,

1198
01:06:44,880 --> 01:06:49,240
Speaker 1: we've destroyed the trust that is necessary for people when

1199
01:06:49,240 --> 01:06:51,640
Speaker 1: a crisis arises, and so we have a long way

1200
01:06:51,680 --> 01:06:54,000
Speaker 1: to dig out from that hole that was created by

1201
01:06:54,120 --> 01:06:59,120
Speaker 1: these people in public health leadership. Dor Scott Outlas just

1202
01:07:00,080 --> 01:07:03,000
Speaker 1: bringing the fire and bringing the truth on the truth

1203
01:07:03,040 --> 01:07:06,000
Speaker 1: with Lisa Booth. I want to thank all of you

1204
01:07:06,040 --> 01:07:08,320
Speaker 1: for listening from the bottom of my heart. I love

1205
01:07:08,440 --> 01:07:11,040
Speaker 1: doing this. I love interviewing people, and I love being

1206
01:07:11,080 --> 01:07:13,120
Speaker 1: able to bring this information to you. And I learn

1207
01:07:13,160 --> 01:07:16,400
Speaker 1: a lot too just having these conversations with all these

1208
01:07:16,440 --> 01:07:18,840
Speaker 1: different guests. I've learned so much over the past year.

1209
01:07:19,360 --> 01:07:22,800
Speaker 1: So I truly love doing this. I can't wait for

1210
01:07:22,880 --> 01:07:25,160
Speaker 1: the next step. I can't wait to bring you additional

1211
01:07:25,200 --> 01:07:28,240
Speaker 1: episodes when we move over to another network. So stay

1212
01:07:28,280 --> 01:07:32,320
Speaker 1: tuned for the big relaunch with some truly awesome guests

1213
01:07:32,520 --> 01:07:34,800
Speaker 1: and also with more content. And I want to thank

1214
01:07:34,840 --> 01:07:37,080
Speaker 1: my team, my producer, my Ride or Die throughout all

1215
01:07:37,120 --> 01:07:40,000
Speaker 1: of this, John Castio. He's a great guy. He has

1216
01:07:40,000 --> 01:07:42,240
Speaker 1: done a great job on this show. I also want

1217
01:07:42,240 --> 01:07:45,920
Speaker 1: to thank Speaker New Gingrich, executive producer of the show,

1218
01:07:46,040 --> 01:07:49,000
Speaker 1: and the three sixty network for giving me this opportunity

1219
01:07:49,720 --> 01:07:52,360
Speaker 1: over the past year. You can leave us five star

1220
01:07:52,440 --> 01:07:56,360
Speaker 1: review on Apple Podcast and stay tuned.