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Speaker 1: All right, glad you with us eight hundred and ninety

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Speaker 1: four one Sean if you want to be a part

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Speaker 1: of this extravaganza. You know, we got a lot happening today,

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Speaker 1: a lot I don't want to get into today. And

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Speaker 1: I will tell you this lawsuit. I have been doing

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Speaker 1: a deep, deep, big deep dive into this lawsuit now

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Speaker 1: that just got announced today. It is Jerry Fallwell, the

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Speaker 1: president of Liberty University, against the New York Times, their reporter,

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Speaker 1: they were a photographer. What they did in this case

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Speaker 1: is just so typical. Now on the heels of let's say,

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Speaker 1: Jill Laberns's comments about the New York Times, and on

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Speaker 1: the heels of this Barry Weiss, I mean scathing op

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Speaker 1: ed an opinion editor pushed back against the papers leftism,

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Speaker 1: blasting her colleagues in you know, at the New York Times,

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Speaker 1: unleashing constant bullying upon her literally, you know, calling her

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Speaker 1: a Nazi and a racist at times. Whatever happened of

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Speaker 1: freedom of thought and ideas and expression. And then you

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Speaker 1: get into some of the very specific language that they

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Speaker 1: lay out in this case, and it's devastating. This has

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Speaker 1: all the potential to be a landmark case you know,

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Speaker 1: the New York Times publish a story ever headlined Liberty

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Speaker 1: brings back its students and coronavirus too. A university reopened

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Speaker 1: and students got sick, and an op ed accusing the

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Speaker 1: school of creating their quote owned viral hotspot. They reported

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Speaker 1: after reopening quote nearly a dozen students were sick with

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Speaker 1: COVID symptoms, claiming that they assured state and local governments

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Speaker 1: that they would abide by the government's pandemic directives and

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Speaker 1: they did not. And they portrayed us as the only

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Speaker 1: university who have allowed students were to return who felt

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Speaker 1: that they needed to do. So here's the problem. Everything

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Speaker 1: they printed was a lie. Everything they printed was false.

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Speaker 1: Why do I say the New York toilet paper Times?

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Speaker 1: You know, they basically had two columns accusing me of murder.

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Speaker 1: This is the same newspaper that said, who says it's

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Speaker 1: not safe to travel to China in February? That's how

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Speaker 1: dumb they are. But it even you know, but more

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Speaker 1: to Jill Abramson, former New York Times executive editor. Now

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Speaker 1: focus to the complaint. You know that it couldn't be

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Speaker 1: more timely the words that she has used, and this

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Speaker 1: op ed. Abramson wrote a book a year ago describing

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Speaker 1: the paper had gone from journalism the journalism business, to

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Speaker 1: social media advertising business that cared only about clickbait headlines

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Speaker 1: and their progressive audience that they would enjoy, and which

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Speaker 1: means stories that make conservatives look bad. This op ed writer,

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Speaker 1: this young woman, Barry Weiss, resigning scathing letter. What the

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Speaker 1: abuse that they put and she describes that they put

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Speaker 1: on her as a culture at The New York Times.

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Speaker 1: It goes against everything that supposedly liberalism says that they

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Speaker 1: are four. It is the most hostile work environment I've

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Speaker 1: ever heard of anyway that she writes about a predetermined narrative,

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Speaker 1: explicitly promoting progressive causes, tolerates bigotry and doing so her words,

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Speaker 1: so we get up. Twitter has become the ultimate editor

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Speaker 1: ethics and more of that platformer become those of the paper.

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Speaker 1: The paper itself kind of a performance space. They have

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Speaker 1: betrayed their standards. They have lost sight of their principles,

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Speaker 1: which is basically what this is all about. Now. The

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Speaker 1: only problem with what they claimed in their articles, there

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Speaker 1: was not a single COVID case in Lynchburg alone, let

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Speaker 1: alone on the campus not one. What they wrote was false.

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Speaker 1: They didn't they Now they were given an opportunity to

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Speaker 1: retract and apologize, they refused to take it. And by

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Speaker 1: the way, I'm paying very close attention to all of

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Speaker 1: this as I watched the Sarah Palin case now making

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Speaker 1: its way, remember the targeted District's case. At some point, lying, smears, slander.

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Speaker 1: It needs to stop. We have this landmark case, somewhat

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Speaker 1: troubling Times v. Sullivan. You know, a ridiculous standard of

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Speaker 1: you're a public figure, you gotta show that there's malice.

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Speaker 1: How do you show malice or at a reckless disregard

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Speaker 1: for truth. That's such a high bar. The reason the

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Speaker 1: Nicholas Salmon is going to be a billionaire, My prediction

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Speaker 1: is Lynnwood is going to eviscerate him. These news outlets,

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Speaker 1: fake news, CNN. Okay, then it's very common you have

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Speaker 1: nondisclosure agreements. They're not going to report they paid this guy.

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Speaker 1: I would. I guarantee you, my best guest is over

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Speaker 1: one hundred million dollars and all of these other publications

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Speaker 1: will follow suit and they all will pay after what

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Speaker 1: they did to this poor kid over a fifteen second

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Speaker 1: out of context snippet without even trying to get the

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Speaker 1: other side. You know, this matters because in one hundred

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Speaker 1: and eleven days, all of their you know, four years

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Speaker 1: of smears and slander and besmirchment, all their conspiracy theories,

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Speaker 1: they're hoaxes. It is repulsive. And for Liberty University, well

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Speaker 1: they happen to be a well funded university. It's expensive

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Speaker 1: to take on a lawsuit such as this, which often

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Speaker 1: takes years, very expensive lawyers. You have to be willing

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Speaker 1: to literally be deposed, you have discovery. It is. It's

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Speaker 1: a nightmare. And I'm factoring all of this into my

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Speaker 1: decision making depending on where I might go with us

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Speaker 1: down the line, with myself. You know, it is unconscionable

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Speaker 1: what they do to public figures. And I'm not done,

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Speaker 1: by the way. I have a lot of other things

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Speaker 1: in the works. Time will show you a lot of things.

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Speaker 1: But anyway, they finished out the semester at Liberty and

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Speaker 1: they only had one member of the Lynchburg student community

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Speaker 1: who tested positive. But that person was living off campus,

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Speaker 1: that person was living with their family, that person was

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Speaker 1: studying online. That person had not even been to the

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Speaker 1: campus for that semester. And this false claim that they

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Speaker 1: reported that a doctor in charge of Hell told them

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Speaker 1: nearly a dozen students were sick with symptoms at COVID nineteen.

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Speaker 1: In fact, he was not responsible. He did not treat students.

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Speaker 1: They didn't do any due diligence. He didn't have any

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Speaker 1: firsthand knowledge, and any event told them the opposite. They

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Speaker 1: didn't care. This is what we call a reckless disregard

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Speaker 1: for the truth. They never bothered to talk to the

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Speaker 1: doctor who actually was in charge of treating students at Liberty,

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Speaker 1: despite being told that they should do so by the

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Speaker 1: doctor they misquoted. They never gave the administration any chance

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Speaker 1: to get them the correct information before they published, and

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Speaker 1: virtually every school faced a problem. This problem was real

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Speaker 1: now Liberty. They did all the things that the city

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Speaker 1: and state asked them to do, no more than ten

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Speaker 1: people in one place, social distancing, etc. Etc. You know,

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Speaker 1: but you have student bodies, You have some foreign students,

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Speaker 1: some other students that you know lived with elderly parents.

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Speaker 1: They didn't want to get their parents sick, so they

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Speaker 1: made a tough decision. They implemented all the safety measures

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Speaker 1: that proved to be a healthy decision. All the naysayers

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Speaker 1: were wrong as usual, that they sent a reporter from

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Speaker 1: a virus hotspot mind you in Washington to the campus

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Speaker 1: where they reported no COVID cases. They violated their own

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Speaker 1: they violated Liberty's containment rules that they had established to

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Speaker 1: keep their campus safe with no trespassing signs, and they

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Speaker 1: didn't give a rip. In other words, and what an

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Speaker 1: intentional attack on a university because they are conservative, they're

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Speaker 1: an evangelical Christian university, and they don't care about the truth.

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Speaker 1: They just wanted their clickbait, they wanted their you know,

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Speaker 1: as Joel Abramson says, or as the op edit editor

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Speaker 1: Barry Weiss said, she said, I mean it is devastating.

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Speaker 1: This is you know, this is going to be has

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Speaker 1: all of the potential to be a landmark case, all

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Speaker 1: of the potential they go through all of this. Two

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Speaker 1: thousand and six, managing editor New York Times asked on

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Speaker 1: national television, how does it feel to be the managing

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Speaker 1: editor of a paper that makes stuff up? Fourteen years later,

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Speaker 1: Liberty University has that same question. Wow, that's a hell

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Speaker 1: of a way to start a lawsuit. That's the preliminary statement.

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Speaker 1: Then they go into the facts of the case. In deep,

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Speaker 1: deep detail, and they tell the truth which the Times

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Speaker 1: did not care about, which frankly they don't care about.

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Speaker 1: Have they retracted, rescinded all of the lies and misinformation

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Speaker 1: they've put out about COVID, noop. They just allow the smearing,

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Speaker 1: the slander, the besmirchment. They just allow it all to continue.

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Speaker 1: I mean, I'm reading this whole thing, you know, yesterday,

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Speaker 1: and it is blown away. Twitter has become the ultimate editor.

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Speaker 1: Barry Weiss writes, you know, she's just she's not even

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Speaker 1: she's not a conservative, she's like quote, a centrist voice.

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Speaker 1: I would argue, even probably a little more liberal. You know,

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Speaker 1: the free and open exchange of ideas and opinion are dead,

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Speaker 1: the search for the truth replaced by you know this,

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Speaker 1: this liberals. She calls it the enlightenment of the few

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Speaker 1: whose job it is to inform everyone else. Wow, that's

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Speaker 1: let her. Bemoans the Times strayed from the ideals that

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Speaker 1: they laid out their own paper. I mean to think

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Speaker 1: that they failure to anticipate the outcome of the election.

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Speaker 1: They didn't have a grasp on the country they cover.

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Speaker 1: Their editors and others have admitted this on other occasions.

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Speaker 1: You said, she was honored to be a part of it,

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Speaker 1: and they brought in a bunch of people to write

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Speaker 1: for the paper. The lessons that ought to have been

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Speaker 1: followed after twenty sixteen, the importance of understanding other Americans,

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Speaker 1: the necessity of resisting tribalism, and centrality of free exchange

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Speaker 1: of ideas in a democratic society have not been learned.

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Speaker 1: She said. This is a beatdown. Twitter is not the

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Speaker 1: masthead of the New York Times. Wow, she's a great

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Speaker 1: writer too. Twitter has become its ultimate editor. Ethics mores

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Speaker 1: of the platform, it become those of the paper, The

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Speaker 1: paper itself increasingly a kind of performance space. This sounds

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Speaker 1: like something you'd read about, you know, the worst website

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Speaker 1: out there, not the prestigious New York toilet paper. Times.

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Speaker 1: I call a toilet paper because it's as good as

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Speaker 1: toilet paper, that's all it's worth, just not as soft.

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Speaker 1: She goes on to talk about, you know, they're they're

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Speaker 1: literally satisfying the narrowest of audiences, rather than allowing a

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Speaker 1: curious public to read about the world and draw their

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Speaker 1: own conclusions. Always taught journalisms were charged with writing the

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Speaker 1: first rough draft of history. She talks about her own

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Speaker 1: forays into wrong think made her the subject of constant

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Speaker 1: bullying by colleagues who disagree. They have called me a

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Speaker 1: Nazi and a racist. I've learned to brush the comments

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Speaker 1: off about you know, I'm writing a quote about the

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Speaker 1: Jews again. Wow. Several colleagues perceived to be friendly with

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Speaker 1: me also badgered by co workers. My work and my

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Speaker 1: character openly demeaned on a company wide slack channels where

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Speaker 1: these masthead editors regularly weigh in. Some co workers, you know,

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Speaker 1: insistent I needed to be rooted out of the company.

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Speaker 1: How inclusive is that? By the way, you know, their

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Speaker 1: employees smear me as a liar and a bigot on Twitter.

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Speaker 1: No fear of you know that that harassing will be

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Speaker 1: met with appropriate action. Now there are terms for this

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Speaker 1: unlawful discrimination, hostile work environment, constructive discharge. I'm not a

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Speaker 1: legal expert, but I know it's wrong. I would expect

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Speaker 1: another lawsuit for the toilet paper Times coming soon. You

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Speaker 1: know they've allowed this behavior to go on inside this company,

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Speaker 1: in full view of the paper's entire staff in public,

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Speaker 1: and I certainly can't square how they and other Times

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Speaker 1: leaders have stood by while simultaneously praising me in private

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Speaker 1: for my courage. Showing up for work as a centrist

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Speaker 1: at an American newspaper should not require bravery. Part of

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Speaker 1: me wishes I would that my experience was unique. The

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Speaker 1: truth is intellectual curiosity, let alone risk taste taking, is

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Speaker 1: now a liability at the Times. Wow. Wow, that's the

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Speaker 1: mob that I talk about. That's the ninety nine percent

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Speaker 1: of media. You want to know why they want to

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Speaker 1: silence every conservative voice is, including the one year Hearing

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Speaker 1: now because we don't fit in that model. We're irredeemable,

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Speaker 1: deplorable Trump voters, smelly Walmart shoppers. You know, this is

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Speaker 1: the America that Joe Biden talks about. You know, we're

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Speaker 1: going to transform and everything else he's been saying. Yes,

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Speaker 1: you know, these are the bitter Americans clinging to God,

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Speaker 1: their Second Amendment rights, their Bibles, their religion. Then not

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Speaker 1: New York is. As Andrew Cuomo says, all right, as

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Speaker 1: we roll along eight hundred and ninety four one, Sean,

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Speaker 1: if you want to be a part of the program.

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Speaker 1: By the way, I told you that I've seen a

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Speaker 1: dramatic shift. By the way, Biding today calls Arizona an

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Speaker 1: important city all of you in Arizona. You're a very

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Speaker 1: important city. Democratic nominee Joe Biden. Good to see us, sir,

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Speaker 1: And look, Arizona is very much in play in twenty twenty,

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Speaker 1: so we appreciate you taking some time to talk to

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Speaker 1: the people of our state. Oh you're it's an important city.

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Speaker 1: You guys have gone through hell right now, aren't you? Yeah,

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Speaker 1: important city. You guys have gone through hell. What's date

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Speaker 1: of my end? Super Thursday, super Thursday whatever. Here's what's happened.

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Speaker 1: By embracing the police have now become the enemy line. Wow.

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Speaker 1: By embracing, well, realocating. I don't like to use the

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Speaker 1: word Defundy says, I use the word reallocating, same thing

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Speaker 1: as defunding, just to matter of you know, maybe it

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Speaker 1: doesn't sound as extreme. By adopting the very verbiage and

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Speaker 1: language of Bernie Sanders and AOCES New Green Deal and

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Speaker 1: his five trillion dollar commitment now to this environmental madness,

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Speaker 1: and I'll get into that more detail in the next hour.

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Speaker 1: By aligning with Schumer Pelosi one hundred and twenty five

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Speaker 1: years Combine three failure, by bringing in Beto Bozo, the mister,

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Speaker 1: let's confiscate guns, let me tell you what this is showing.

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Speaker 1: This is a brand new race, law and order, safety

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Speaker 1: and security. Donald Trump saying he is going into these

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Speaker 1: war zones that democratic cities have run into the ground,

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Speaker 1: and he's going to protect people that's on the ballot.

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Speaker 1: You know, immigration, the United Sanctuary States of America. You know,

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Speaker 1: then amnesty for illegals, higher and higher taxes, false promises

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Speaker 1: of everything. It's a new race, the biggest choice election

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Speaker 1: in our lifetime. In Rasmussen shows the Biden's lead is collapsing.

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Speaker 1: This is just the getting a lot's going to happen

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Speaker 1: in one hundred and eleven days. Twenty five days, but

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Speaker 1: in one hundred and eleven days. Yeah, this is where

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Speaker 1: it gets serious. I meant to start with some incredible

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Speaker 1: news today that on the coronavirus in this sense has

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Speaker 1: known great news about the worst pandemic since nineteen seventeen

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Speaker 1: and eighteen. And I know we have this intersection of

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Speaker 1: politics and medicine, which always ends up with politics winning.

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Speaker 1: I droxy chloroquin is probably the best case in point.

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Speaker 1: And you know the fact that you have the study

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Speaker 1: that shows that, yeah, it actually really did work. You know,

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Speaker 1: nobody wants to pay that much attention to that part

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Speaker 1: of it. Sad, you know. And when I read the

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Speaker 1: letter forty two year doctor, the premiere, the premiere doctor

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Speaker 1: on lupus and rheumatoid arthritis and deal with anti malarials

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Speaker 1: and four hundred peer review papers and of forty two years,

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Speaker 1: thousands and thousands of patients that he has prescribed hydroxy

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Speaker 1: chloric win too many taking it with the rhythmomus and etc.

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Speaker 1: And he said the risks are nil, and nobody wanted

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Speaker 1: to talk about that doctor, this guy out at Cedar SINAI.

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Speaker 1: It's sad because then at that point you're not giving

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Speaker 1: the public good information. And I and Will granted everybody,

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Speaker 1: you know, the experts were wrong. China lied to the world.

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Speaker 1: There's there's a lot that went on here, and the

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Speaker 1: president is now holding China accountable on a lot of issues,

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Speaker 1: which is good because I don't think Joe Biden ever

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Speaker 1: would look at what happened with the one point five

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Speaker 1: billion dollars Bank of China, deal with his zero experience

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Speaker 1: on there, and he still has money that he's getting back,

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Speaker 1: and it's pretty unbelievable to me. His name is Daniel Wallace.

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Speaker 1: Is the you know, this guy is the premier expert

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Speaker 1: in the country, and I'd argue the world on hydroxy

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Speaker 1: chloric win. The risks are nil at the doses that

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Speaker 1: are being used to treat COVID patients. Those are his words.

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Speaker 1: But still got politicized. You know, I got hammered. I

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Speaker 1: always get the crappiet out of me. I just don't

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Speaker 1: care anymore. The good news the pharmaceutical company, by the way,

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Speaker 1: those evil pharmaceutical companies, well this one is Maderna. They're

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Speaker 1: now beginning their brand new phase of testing for a vaccine.

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Speaker 1: Their last test their stage what one or two trial

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Speaker 1: that's beginning phase three of its vaccine trial now on

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Speaker 1: July twenty seventh. They had forty five volunteers and they

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Speaker 1: developed their rapid and strong immune responses when administering the vaccine,

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Speaker 1: none of the participants showing severe side effects. Maderna developed

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Speaker 1: the vaccine and coordination with the National Institute of Allergy

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Speaker 1: and Infectious Diseases, which by the way, doctor Fauci's the

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Speaker 1: head of He's been wrong on a lot of things,

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Speaker 1: but I always said I admired and respect his life work.

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Speaker 1: You know, he was doing the best he could everybody

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Speaker 1: didn't know. Don't wear masks. Wear masks, you know. Take okay,

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Speaker 1: if you're young and healthy, go on a cruise ship.

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Speaker 1: It's you know. I'm sure that he wishes he could

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Speaker 1: take back a lot of what but he didn't know.

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Speaker 1: And anyway, he said, no matter how you slice it,

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Speaker 1: this is good news. We'll get doctor Oz's take. Well,

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Speaker 1: it worked out that they had antibodies, and I'm gonna

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Speaker 1: let doctor Oz explain it better than I can. That

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Speaker 1: were stronger than if you actually got the virus. Antibodies.

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Speaker 1: Pretty amazing. Phase three begins July twenty seventh. That's what

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Speaker 1: twelve more days. That's amazing, and they're gonna use thirty

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Speaker 1: thousand participants. The chief medical officers said the trial showed

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Speaker 1: the vaccine elicited a quote robust immune response across all

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Speaker 1: dose levels. Patients were broken up into three groups. They

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Speaker 1: were given variation to doses twenty five, one hundred and

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Speaker 1: two hundred fifty micrograms. The lead medical officer at Maderna

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Speaker 1: said that the hundred microgram dose proved to be the

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Speaker 1: optimal dose. They've manufactured enough doses of the vaccine for

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Speaker 1: the next file phase of the trial. That's in twelve

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Speaker 1: days it begins, and they're on track to produce one

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Speaker 1: billion doses of vaccine by next year. That's amazing. They're

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Speaker 1: confident they will have tens of millions of vaccines before

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Speaker 1: the end of this year. Wow. And by the way,

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Speaker 1: this also, you know, this was all part of Operation

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Speaker 1: Warp Speed. I'm not sure the president will never get

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Speaker 1: credit for it, but an effort to find a coronavirus vaccine,

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Speaker 1: the President's Trump Administration's effort. And you know I told

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Speaker 1: you that, I've said from the very beginning. My timeline

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Speaker 1: is on Hannity dot com, it's on Twitter. The best

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Speaker 1: part of it is very simple, is that I was

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Speaker 1: able to, you know, say, I always had my faith

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Speaker 1: in the medical researchers, scientists. They were able to break

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Speaker 1: the sequence of this virus down in six weeks. That

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Speaker 1: gave me incredible hope because that they used to take

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Speaker 1: years and years and years to break down the sequence

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Speaker 1: of a virus. Once you break down a sequence, now

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Speaker 1: you're a long way towards the cure. This is sick.

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Speaker 1: What's going on in Florida? Fox thirty five reporting Florida

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Speaker 1: Department of Health now confirming today that and yesterday the

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Speaker 1: private and public laboratories. You know, they're required to report

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Speaker 1: positive and negative results to the state immediately. A problem

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Speaker 1: is is that they weren't using the proper protocol. They

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Speaker 1: now found and they alcohol read it verbatim. Countless labs

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Speaker 1: in Florida have reported a one hundred percent positivity rate,

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Speaker 1: which means every single person that got tested tested positive.

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Speaker 1: Other labs had a very high positivity rate. One local

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Speaker 1: lab reported all eighty three people tested had the virus,

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Speaker 1: and then others were at eighty eight ninety percent. Then

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Speaker 1: they investigated the astronomical findings and how the data was

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Speaker 1: skewed in the lack of reporting of negative tasks, and

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Speaker 1: Orlando's Veteran Medical Center positivity rate is seventy six percent.

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Speaker 1: You know, based on all that we know, we already

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Speaker 1: know it's almost mathematically impossible. I'm gonna say this one thing.

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Speaker 1: On masks, I've already given, you know, big time. I've

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Speaker 1: given anyway, Look, the CDC directors said the following, if

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Speaker 1: everyone there was universal mask wearing, and I'm not talking

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Speaker 1: about a government mandate, I don't wear a mask because

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Speaker 1: somebody's telling me to do it. I don't have to

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Speaker 1: wear a mask. I've been tested for COVID every time

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Speaker 1: I've been around the president. I get tested before I'm

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Speaker 1: around the president. Joe Biden admits everyone that it's around him.

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Speaker 1: Same thing. And my personal decision, anecdotally, I'll say it again,

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Speaker 1: is in the middle of this shift Adam shift show

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Speaker 1: say that in honor of him. I was in the

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Speaker 1: epicenter of this. I remember one Saturday in particular, I

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Speaker 1: think there was like, you know, twelve thousand new cases

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Speaker 1: we have very close to where I live. I'm like, jeez,

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Speaker 1: you know, it felt like a cloud, a dark, dark cloud,

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Speaker 1: and just you know, hovering over where I lived. It

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Speaker 1: was a horrible feeling. And but I went to my

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Speaker 1: grocery store every week, and twice a week I used

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Speaker 1: I had to get out of the house. I put

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Speaker 1: on my mask and I'd walk in. I'd get my groceries.

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Speaker 1: And every week I saw the same cashiers, but they

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Speaker 1: put up the plexiglass. Everybody had gloves and masks on.

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Speaker 1: I saw the same guys. What was the name of

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Speaker 1: it was his name, Robert, Robert. Robert was this young kid.

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Speaker 1: He's such a good kid. I haven't seen him the

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Speaker 1: last few times I've been there and nobody at the store.

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Speaker 1: And I was there this week. Nobody got coronavirus. Nobody,

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Speaker 1: you know, And that anecdotally tells me, Wow, this works. Now.

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Speaker 1: I'm not into the government telling you anything. I'm not.

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Speaker 1: I'm making a decision for me. I think anecdotally that

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Speaker 1: tells me a lot. And the same could be said

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Speaker 1: for my local. By the way, Yeah, I have this

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Speaker 1: on on the doctor. I have it all um. Thank you, though, Linda,

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Speaker 1: she's texting me, Linda text like a stalker. Are you're listening?

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Speaker 1: Are you listening? Are you listening? Hello? Hello, I'm like, okay,

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Speaker 1: my phone blows up in front of me. You're like

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Speaker 1: to just dropped it, you know, somewhere anyway, So he says,

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Speaker 1: if it was universal mask wearing, the virus will be

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Speaker 1: in control four to six weeks. Now. I'm not telling

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Speaker 1: you what to do. I'm not in that business. I'm

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Speaker 1: not a doctor. I don't play one on radio, I

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Speaker 1: don't play one on TV. I'm giving you anecdotal evidence

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Speaker 1: from me. And this is where it hit hard first,

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Speaker 1: and this is what I experienced, and for me, if

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Speaker 1: it means that, I don't really you know, when my

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Speaker 1: day is up, it's up. That's that's my understanding of life.

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Speaker 1: I don't get to choose the day I'm born, the

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Speaker 1: hairs of my head accounted, and when God calls me home,

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Speaker 1: it's it. I can't add another second to my life.

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Speaker 1: I wish I could. I, you know, choose a lot

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Speaker 1: more years than I probably will ever get. But I

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Speaker 1: wear it because I know that if I ever if

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Speaker 1: I was asymptomatic, which you are in the beginning, but

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Speaker 1: still can transmit this disease according to the latest information,

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Speaker 1: which changes hourly, I wouldn't want to give it to

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Speaker 1: an older person that does have an underlying condition. I

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Speaker 1: wouldn't want to give it to a grandma or a grandpa,

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Speaker 1: or a mom or a dad. I wouldn't want to

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Speaker 1: give it to anybody. So this is a short interim period.

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Speaker 1: For me, it's a no brainer, and I know some

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Speaker 1: of you have been resistant. I understand it, and to me,

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Speaker 1: it's for others. I also have selfish reasons, and I'll

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Speaker 1: explain those. I would like to go to a baseball game.

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Speaker 1: I'm dying to go, and if I have to wear

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Speaker 1: a mask to go and get a temperature check, I'll

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Speaker 1: do it. I would like to go to a football

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Speaker 1: game in the fall. I'd like to see an outdoor

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Speaker 1: concert this year. So those are my selfish reasons. And

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Speaker 1: if that's what allows us back to normal life, I'm

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Speaker 1: on it. And if the CDC directors saying that, okay,

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Speaker 1: that helps it. By the way, Goldman Sachs went nuts today,

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Speaker 1: I'm yesterday with their record breaking performance. Why on the

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Speaker 1: hopes of a vaccine this is going to happen. It's

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Speaker 1: not a matter of if it happened. It's going to

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Speaker 1: have ep IT. Hydroxy Clara Quinn given early helped coronavirus patients. Yeah.

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Speaker 1: Oh that study that came out, Yeah, that uh, that

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Speaker 1: risk du the henry Ford Health Center. Actually, you know

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Speaker 1: they did this for twenty two THI hundred forty one patients. Yeah,

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Speaker 1: it's very effective if given in the early stages of

425
00:27:22,080 --> 00:27:26,360
Speaker 1: contracting the virus. Unlike that VA study UM that were

426
00:27:26,440 --> 00:27:30,080
Speaker 1: used late basically when people were dying and UM, the

427
00:27:30,080 --> 00:27:34,280
Speaker 1: patients that received it, UM. You know what they did

428
00:27:34,400 --> 00:27:39,919
Speaker 1: dramatically better. Wow. Four hundred milligrams twice a day the

429
00:27:40,000 --> 00:27:43,960
Speaker 1: first day, two hundred milligrams four days following. Personally, I

430
00:27:44,000 --> 00:27:45,840
Speaker 1: didn't even go longer. But what do I know about

431
00:27:45,840 --> 00:27:50,480
Speaker 1: any of this stuff? Um? Anyway, that's my take on it. Now.

432
00:27:50,600 --> 00:27:57,000
Speaker 1: The why is Joe going towards Bernie aoc Pelosi, Schumer,

433
00:27:57,800 --> 00:28:01,800
Speaker 1: Beto Bozo because he knows darn well he doesn't have

434
00:28:01,880 --> 00:28:04,879
Speaker 1: his left flank short up and he's probably gonna go

435
00:28:04,920 --> 00:28:07,560
Speaker 1: a hard left for his VP because it's basically the

436
00:28:07,560 --> 00:28:13,960
Speaker 1: whole Democratic Party anyway. Um. Now, Rasmussen survey showing forty

437
00:28:13,960 --> 00:28:17,760
Speaker 1: seven forty four Biden versus Trump, and I think this

438
00:28:17,840 --> 00:28:19,280
Speaker 1: is a brand new race. I don't think any of

439
00:28:19,320 --> 00:28:22,640
Speaker 1: these polls. But Arizona is an important city. We've got

440
00:28:22,640 --> 00:28:26,200
Speaker 1: to remember that Democratic nominee Joe Biden. Good to see us, sir,

441
00:28:26,359 --> 00:28:29,760
Speaker 1: And look, Arizona is very much in play in twenty twenty,

442
00:28:29,840 --> 00:28:31,960
Speaker 1: so we appreciate you're taking some time to talk to

443
00:28:32,000 --> 00:28:35,640
Speaker 1: the people of our state. Oh, you're it's an important city.

444
00:28:35,680 --> 00:28:38,640
Speaker 1: You guys are gone through hell right now, aren't you. Yeah,

445
00:28:38,760 --> 00:28:40,360
Speaker 1: you guys in that city. What a hell of a

446
00:28:40,440 --> 00:28:43,920
Speaker 1: city that is the guy's living a great city. Okay,

447
00:28:44,200 --> 00:28:46,800
Speaker 1: that is a little bit scary. Don't you think that

448
00:28:46,880 --> 00:28:49,440
Speaker 1: Joe Biden doesn't know the day the state? What office

449
00:28:49,480 --> 00:28:52,280
Speaker 1: he's running from, you know, all the trusties of it.

450
00:28:52,320 --> 00:28:54,600
Speaker 1: All men and women are created equal. And by the oh,

451
00:28:54,720 --> 00:28:57,680
Speaker 1: the oh, what is that thing? You know, the thing?

452
00:28:57,920 --> 00:29:01,200
Speaker 1: You know, but the thing. But anyway, look, he has

453
00:29:01,240 --> 00:29:04,400
Speaker 1: a two trillion to five trillion dollar plan that is

454
00:29:04,440 --> 00:29:09,120
Speaker 1: going to boost clean energy. Okay, that's now him pushing this.

455
00:29:09,480 --> 00:29:11,240
Speaker 1: You know, Trump out a great line, he said, imagine

456
00:29:11,280 --> 00:29:13,520
Speaker 1: if if the country was run like Chicago or New

457
00:29:13,560 --> 00:29:16,120
Speaker 1: York City, you wouldn't have a country very long. And

458
00:29:16,280 --> 00:29:20,920
Speaker 1: by the way, Trump's support in Alabama played a big

459
00:29:21,040 --> 00:29:24,320
Speaker 1: role in defeating Jeff Sessions by a pretty big margin yesterday,

460
00:29:24,720 --> 00:29:27,880
Speaker 1: and Joe Biden's the police have become the enemy, and

461
00:29:28,680 --> 00:29:32,480
Speaker 1: defund and reallocate money, You're not going to be safe.

462
00:29:32,760 --> 00:29:36,720
Speaker 1: That is game changing. The president vowing to straighten out

463
00:29:36,760 --> 00:29:39,440
Speaker 1: the war zone in these democratic run cities is a

464
00:29:39,440 --> 00:29:43,520
Speaker 1: big deal. You have a top NYPD cop today. Where

465
00:29:43,520 --> 00:29:45,840
Speaker 1: do you see the images we'll show you on TV tonight.

466
00:29:46,320 --> 00:29:48,840
Speaker 1: You know, blood pouring out of this poor guy's head.

467
00:29:49,360 --> 00:29:52,200
Speaker 1: The Attorney General's right, by the way, there is no

468
00:29:52,240 --> 00:29:55,239
Speaker 1: more noble profession than law enforcement. And that's those are

469
00:29:55,280 --> 00:29:58,040
Speaker 1: the people I know in law enforcement. The ninety nine percent.

470
00:29:58,160 --> 00:30:01,640
Speaker 1: But Morales in the toilet. Oh now in Saint Louis,

471
00:30:01,680 --> 00:30:04,320
Speaker 1: they want this couple that defended their home, you got

472
00:30:04,320 --> 00:30:06,720
Speaker 1: a rogue prosecutor. At first, they went in and took

473
00:30:06,720 --> 00:30:09,800
Speaker 1: their legal guns. Meanwhile, the police didn't show up that

474
00:30:09,880 --> 00:30:12,960
Speaker 1: night when it was all happening. President vowing to help.

475
00:30:13,080 --> 00:30:17,800
Speaker 1: Portland is now the epicenter of, you know, the anarchy

476
00:30:17,840 --> 00:30:20,320
Speaker 1: that's going on, and as is New York as his

477
00:30:20,600 --> 00:30:24,480
Speaker 1: Chicago as his Seattle, and you know it's scary out there.

478
00:30:25,080 --> 00:30:29,040
Speaker 1: New York City leaders now the African American leaders in

479
00:30:29,040 --> 00:30:31,920
Speaker 1: New York of begging the NYPD to revive their anti

480
00:30:31,920 --> 00:30:36,560
Speaker 1: crime unit that the Blasio shut down. If the countries

481
00:30:36,640 --> 00:30:39,200
Speaker 1: run like New York City or Chicago, that would be

482
00:30:39,240 --> 00:30:42,360
Speaker 1: a preview of Biden's America to me. You know, it's

483
00:30:42,400 --> 00:30:45,560
Speaker 1: two to five trillion dollars tax hikes for clean energy.

484
00:30:46,040 --> 00:30:50,120
Speaker 1: Let's get rid of all fossil fuels, fracking oil, coal jobs.

485
00:30:50,200 --> 00:30:54,080
Speaker 1: That's ten million plus jobs he's saying goodbye to. You know,

486
00:30:54,120 --> 00:30:59,640
Speaker 1: this entire agenda is a disaster. If you believe in liberty,

487
00:30:59,680 --> 00:31:04,080
Speaker 1: free him, capitalism, law and order. You know what, the

488
00:31:04,240 --> 00:31:07,560
Speaker 1: great country that we have grown to know and love

489
00:31:07,640 --> 00:31:14,360
Speaker 1: goes away with these policies and these extremists, and they're

490
00:31:14,400 --> 00:31:17,400
Speaker 1: all by the way. Now he's got the team in place.

491
00:31:18,720 --> 00:31:20,440
Speaker 1: Let me tell you the only reason he doesn't move

492
00:31:20,480 --> 00:31:23,880
Speaker 1: to the center because he knows. He knows he doesn't

493
00:31:23,880 --> 00:31:27,520
Speaker 1: have his base. In spite of all the phony polls,

494
00:31:27,520 --> 00:31:31,080
Speaker 1: in fake media and one hundred and eleven days. Nobody

495
00:31:31,080 --> 00:31:32,600
Speaker 1: can tell you how it's going to come out. But

496
00:31:32,640 --> 00:31:35,680
Speaker 1: I can tell you you can win this, and they'll

497
00:31:35,760 --> 00:31:38,480
Speaker 1: choke on those words. We can now project Donald J.

498
00:31:38,600 --> 00:31:40,800
Speaker 1: Trump has been reelected the forty fifth president of the

499
00:31:40,920 --> 00:31:44,719
Speaker 1: United States. You the people can have it. And one

500
00:31:44,760 --> 00:31:46,960
Speaker 1: hundred and eleven or twelve days, depending on what time

501
00:31:47,000 --> 00:31:50,480
Speaker 1: they make the call, hopefully one hundred and eleven early

502
00:31:50,520 --> 00:31:52,560
Speaker 1: in the night. But I can tell you you can

503
00:31:52,600 --> 00:31:56,320
Speaker 1: make that happen, or we can have Biden's America. It's

504
00:31:56,320 --> 00:31:59,280
Speaker 1: probably never been a time when candidates are so different.

505
00:32:00,240 --> 00:32:03,040
Speaker 1: Law and order. They don't want law and order. We

506
00:32:03,120 --> 00:32:06,040
Speaker 1: want strong clothes, borders with people able to come in

507
00:32:06,120 --> 00:32:09,440
Speaker 1: through merit, through a legal process. They don't want to

508
00:32:09,440 --> 00:32:11,200
Speaker 1: have any borders at all. They got to rip down

509
00:32:11,200 --> 00:32:15,480
Speaker 1: the wall. It's hard to get that built and now

510
00:32:15,520 --> 00:32:19,440
Speaker 1: it's almost completed. So Biden was here for forty seven years,

511
00:32:20,200 --> 00:32:23,080
Speaker 1: eight years, the last eight years not long ago. As

512
00:32:23,200 --> 00:32:26,760
Speaker 1: vice president, he said, one in five miles of our

513
00:32:26,840 --> 00:32:31,080
Speaker 1: highways are still in poor condition. Well, we're doing a

514
00:32:31,120 --> 00:32:34,880
Speaker 1: good job in highways, but why didn't he fix them

515
00:32:35,040 --> 00:32:37,880
Speaker 1: three years ago? Why didn't he fix them? Tens of

516
00:32:38,000 --> 00:32:42,400
Speaker 1: thousands of bridges are in disrepair and on the verge

517
00:32:42,440 --> 00:32:45,680
Speaker 1: of collapse. Well it's probably not a right number, but

518
00:32:46,240 --> 00:32:49,240
Speaker 1: we have bridges that should have been fixed. Why didn't

519
00:32:49,240 --> 00:32:51,200
Speaker 1: he fix them? It was there for eight years with

520
00:32:52,080 --> 00:32:55,840
Speaker 1: President Obama. Why didn't they fix them? Tens of thousands

521
00:32:55,880 --> 00:32:59,720
Speaker 1: of bridges? This is what he wrote, high speed broadband.

522
00:33:00,200 --> 00:33:03,160
Speaker 1: We want high speedber Well, why didn't he get it?

523
00:33:03,280 --> 00:33:06,440
Speaker 1: Three years ago is not a long time, and he

524
00:33:06,520 --> 00:33:08,480
Speaker 1: didn't do any of the things. But now he says

525
00:33:08,520 --> 00:33:11,560
Speaker 1: he's going to be president. As president, he's going to

526
00:33:11,640 --> 00:33:13,880
Speaker 1: do all the things that he didn't do. He never did,

527
00:33:14,000 --> 00:33:18,040
Speaker 1: never did anything except make very bad decisions, especially on

528
00:33:18,360 --> 00:33:21,440
Speaker 1: foreign policy. All right, that was let's get the simple

529
00:33:21,440 --> 00:33:24,520
Speaker 1: man back up. It's got a flow better where we

530
00:33:24,600 --> 00:33:27,320
Speaker 1: have simple man, because anytime we're gonna go to all

531
00:33:27,440 --> 00:33:31,320
Speaker 1: things Bill O'Reilly Bill O'Reilly dot com. It's gotta have

532
00:33:31,440 --> 00:33:33,800
Speaker 1: simple man, it's gotta have Leonard Skinner underneath it. Just

533
00:33:33,880 --> 00:33:36,680
Speaker 1: let's hit it a little bit. It's like he's coming

534
00:33:36,680 --> 00:33:40,560
Speaker 1: out on stage. The music is up, the lights are out,

535
00:33:41,640 --> 00:33:45,320
Speaker 1: and then walks the giant and he really is a giant.

536
00:33:45,320 --> 00:33:48,280
Speaker 1: What do you like? Six ten? How poll are you? Yeah,

537
00:33:48,360 --> 00:33:53,400
Speaker 1: I'm sixty four, but my intellect makes me How does

538
00:33:53,440 --> 00:33:56,480
Speaker 1: a simple man have the intellect that raises your stature

539
00:33:56,680 --> 00:34:01,160
Speaker 1: literally by you know inches. I went to private school

540
00:34:01,200 --> 00:34:04,200
Speaker 1: like you did on Long Island, those twelve years of

541
00:34:04,320 --> 00:34:09,640
Speaker 1: Catholic school, mister O'Reilly, I was incorrigible. But the funny

542
00:34:09,680 --> 00:34:12,520
Speaker 1: thing is, and I think you'd agree with this. You know,

543
00:34:12,640 --> 00:34:15,359
Speaker 1: it got to me. I mean, deep down in my heart,

544
00:34:15,440 --> 00:34:18,120
Speaker 1: I always knew I was wrong. I knew I was incorrigible.

545
00:34:18,400 --> 00:34:20,919
Speaker 1: I knew I had to change my life. I knew

546
00:34:20,960 --> 00:34:23,720
Speaker 1: I needed Jesus at some point to come into my life.

547
00:34:25,280 --> 00:34:29,040
Speaker 1: And I believe all that well, I mean the discipline.

548
00:34:29,280 --> 00:34:32,600
Speaker 1: And you know, this is a conversation that could really

549
00:34:32,600 --> 00:34:35,840
Speaker 1: help the country if it were allowed to take place,

550
00:34:35,920 --> 00:34:40,759
Speaker 1: but it won't because of the anti religion on the left. Hey, Bill,

551
00:34:40,880 --> 00:34:43,600
Speaker 1: this is not a God free zone. God is allowed

552
00:34:43,640 --> 00:34:46,560
Speaker 1: on this show. You can talk about God. Well, the

553
00:34:46,640 --> 00:34:50,960
Speaker 1: Catholic school system spends far left to educate students then

554
00:34:51,000 --> 00:34:54,080
Speaker 1: the public school system and gets far better results. Now, granted,

555
00:34:54,560 --> 00:34:57,560
Speaker 1: people who pay the tuition are more motivated, the families

556
00:34:57,560 --> 00:35:00,319
Speaker 1: were more motivated, there's no doubt. But if you read

557
00:35:00,800 --> 00:35:05,280
Speaker 1: Cardinal Dolan's letter today made public about the savage attack

558
00:35:05,560 --> 00:35:09,279
Speaker 1: on the Catholic Church by the Associated Press earlier this

559
00:35:09,320 --> 00:35:14,200
Speaker 1: week about the Catholic Church getting seederal assistance in the

560
00:35:14,239 --> 00:35:17,400
Speaker 1: form of loans to pay their workers, it was a

561
00:35:17,440 --> 00:35:20,680
Speaker 1: savage attack and Nolan call them out. So you don't

562
00:35:20,760 --> 00:35:24,480
Speaker 1: have a wide variety of discussion about why the Catholic

563
00:35:25,840 --> 00:35:29,880
Speaker 1: Why does Catholic education work and public education doesn't work

564
00:35:30,200 --> 00:35:32,920
Speaker 1: at least in many places. And that's a conversation. You

565
00:35:32,960 --> 00:35:35,680
Speaker 1: could really help the country if we could have it,

566
00:35:36,080 --> 00:35:40,799
Speaker 1: and would help every poor kid in this nation. You see,

567
00:35:40,800 --> 00:35:42,680
Speaker 1: I think we're actually probably going to go through a

568
00:35:42,719 --> 00:35:48,560
Speaker 1: transformation because my kids, who were athletes, many of their

569
00:35:48,600 --> 00:35:52,560
Speaker 1: friends did homeschooling. Now that so many kids have, you know,

570
00:35:53,400 --> 00:35:56,160
Speaker 1: tell a working is the future, Tell a medicine is

571
00:35:56,200 --> 00:35:59,320
Speaker 1: the future. I would even argue that tell a college

572
00:35:59,320 --> 00:36:02,720
Speaker 1: has gonna grow exponentially. I know it's a for example,

573
00:36:02,719 --> 00:36:06,799
Speaker 1: Liberty University. We're gonna be joined by Jerry Folwell later

574
00:36:06,840 --> 00:36:09,120
Speaker 1: in the program. But I mean they have I think

575
00:36:09,160 --> 00:36:12,800
Speaker 1: more students that are online students than actually on campus.

576
00:36:12,840 --> 00:36:15,239
Speaker 1: And they have a massive campus because I speak there

577
00:36:15,239 --> 00:36:17,440
Speaker 1: every so often to the convocation of a you know,

578
00:36:17,520 --> 00:36:21,080
Speaker 1: twelve thousand kids. M But you know we can we

579
00:36:21,120 --> 00:36:23,440
Speaker 1: can save this for another day. Um, but let me

580
00:36:24,200 --> 00:36:27,520
Speaker 1: there's a lot happening in the country. You like, you're

581
00:36:27,600 --> 00:36:31,720
Speaker 1: the culture warrior. I'm watching this story about this Goya

582
00:36:31,800 --> 00:36:36,520
Speaker 1: CEO who likes President Trump. Then what do we have?

583
00:36:36,880 --> 00:36:40,680
Speaker 1: We have a boycott, but the boycott got overrun by

584
00:36:40,719 --> 00:36:44,319
Speaker 1: something called the bycott. And by the way, you can

585
00:36:44,320 --> 00:36:47,320
Speaker 1: include me in the bycott. I've donate to my local

586
00:36:47,920 --> 00:36:49,399
Speaker 1: I don't know. I'm sure you have the same thing

587
00:36:49,400 --> 00:36:51,160
Speaker 1: in your town food bank and a lot of they've

588
00:36:51,200 --> 00:36:54,560
Speaker 1: needed extra help because of COVID, And I'm willing to

589
00:36:54,600 --> 00:36:57,399
Speaker 1: buy Goya products. Linda's working on it now, and I'm

590
00:36:57,400 --> 00:36:59,360
Speaker 1: going to send some to my local food bank. And

591
00:36:59,360 --> 00:37:02,160
Speaker 1: I know that you you and I often match, you know,

592
00:37:02,239 --> 00:37:04,719
Speaker 1: donations to each other. I'm not asking you to absolutely

593
00:37:04,760 --> 00:37:07,280
Speaker 1: do that. I'll get it right on with you. Winnifred

594
00:37:07,320 --> 00:37:09,879
Speaker 1: and Williams. By the way, we always do. We kind

595
00:37:09,880 --> 00:37:12,200
Speaker 1: of support each other's charities, and I'm glad to you

596
00:37:12,239 --> 00:37:14,799
Speaker 1: have so many good charities. But you know the point is,

597
00:37:14,960 --> 00:37:18,040
Speaker 1: I'm what now, because you have a political point of view,

598
00:37:18,080 --> 00:37:21,000
Speaker 1: we're going to destroy your business and hurt all the

599
00:37:21,080 --> 00:37:23,760
Speaker 1: people that work for you. You can't put aside petty

600
00:37:23,800 --> 00:37:27,600
Speaker 1: political differences even on this. Well, they've been doing this

601
00:37:27,680 --> 00:37:30,919
Speaker 1: for years, the far left. It's interesting. The far right

602
00:37:31,040 --> 00:37:35,360
Speaker 1: extremists don't do this. The conservative movement doesn't do it.

603
00:37:35,360 --> 00:37:38,719
Speaker 1: It all comes from the far left, the extremists that

604
00:37:39,040 --> 00:37:42,800
Speaker 1: want to tear the country down and vanish freedom of speech.

605
00:37:42,840 --> 00:37:45,560
Speaker 1: But it goes even further than this. So the Goya

606
00:37:45,640 --> 00:37:49,319
Speaker 1: guy goes to the White House to honor the Hispanic

607
00:37:49,600 --> 00:37:53,160
Speaker 1: Economic Initiative A good thing. Right, everybody would agree with that.

608
00:37:53,640 --> 00:37:56,960
Speaker 1: Why not having a Hispanic economic initiative? I think it's

609
00:37:56,960 --> 00:37:59,239
Speaker 1: a good thing. And he goes there and he says,

610
00:37:59,320 --> 00:38:01,360
Speaker 1: you know, thank you, President Trump, and you're doing a

611
00:38:01,360 --> 00:38:05,640
Speaker 1: good job economically, because he is, because Trump is doing

612
00:38:05,640 --> 00:38:09,680
Speaker 1: a good job economically for everybody, so that there's no

613
00:38:09,840 --> 00:38:13,359
Speaker 1: argument with that. So as soon as he says that

614
00:38:14,360 --> 00:38:18,279
Speaker 1: you have the mobilization of the haters, it's not so

615
00:38:18,440 --> 00:38:22,360
Speaker 1: much ideology. Is these people just hate. So the first

616
00:38:22,400 --> 00:38:26,279
Speaker 1: person that pops out is Anna Navarro on CNN, a

617
00:38:26,400 --> 00:38:30,839
Speaker 1: top hater and at and t Spanger sary and all

618
00:38:30,880 --> 00:38:34,480
Speaker 1: she does is hate people. Then you get joy behar

619
00:38:34,600 --> 00:38:37,839
Speaker 1: and the view we call her joyless bills. She doesn't

620
00:38:37,880 --> 00:38:42,600
Speaker 1: seem full of go ahead there. Everybody who's ever watched

621
00:38:42,600 --> 00:38:45,480
Speaker 1: the woman knows she's a hater. Disney writes her check.

622
00:38:45,920 --> 00:38:50,239
Speaker 1: Then you get and I was so sorry to see this,

623
00:38:51,120 --> 00:38:56,560
Speaker 1: Lynn Manuel Miranda, the guy who wrote Hamilton a brilliant,

624
00:38:56,920 --> 00:39:01,400
Speaker 1: brilliant piece of work. He comes out and this idiot

625
00:39:01,520 --> 00:39:05,440
Speaker 1: Chrissy Tegan, who is this? A model who's never done anything.

626
00:39:05,560 --> 00:39:09,839
Speaker 1: She's married to John Legend, the singer, and I hope

627
00:39:09,840 --> 00:39:14,239
Speaker 1: they're happy, but they're haters, not manual. I think he

628
00:39:14,320 --> 00:39:17,279
Speaker 1: just gets caught up in the political correctness. All right,

629
00:39:17,760 --> 00:39:22,640
Speaker 1: But immediately this hatred is then embraced by the corporate

630
00:39:22,760 --> 00:39:26,680
Speaker 1: media and disseminate it. Whereas if you had the exact

631
00:39:26,719 --> 00:39:29,759
Speaker 1: same thing, and by the way. This is very important.

632
00:39:30,560 --> 00:39:34,960
Speaker 1: The head the CEO of GOYA was very complimentary to

633
00:39:35,600 --> 00:39:39,520
Speaker 1: Barack and Michelle Obama, very complimentary when he went to

634
00:39:39,560 --> 00:39:43,160
Speaker 1: the White House to help Missus Obama with her nutritional campaign.

635
00:39:43,560 --> 00:39:47,240
Speaker 1: Can the corporate media tell their employees not to hate people?

636
00:39:47,640 --> 00:39:50,440
Speaker 1: Is that possible. Let's get back to this issue the

637
00:39:50,520 --> 00:39:53,880
Speaker 1: corporate media. Can they Can they tell people just not

638
00:39:53,960 --> 00:39:56,839
Speaker 1: to hate people and respect. Look look at this New

639
00:39:56,920 --> 00:40:01,160
Speaker 1: York Times resignation yesterday. It blew me way and you

640
00:40:01,200 --> 00:40:05,080
Speaker 1: know what that's all about. That's all about her wife

641
00:40:05,560 --> 00:40:10,360
Speaker 1: supporting Israel. That's what that's all about. So sad alienate

642
00:40:10,440 --> 00:40:12,919
Speaker 1: the rank and file of the New York Times when

643
00:40:12,920 --> 00:40:15,960
Speaker 1: she wrote a pro Israel column. I have it right

644
00:40:15,960 --> 00:40:18,080
Speaker 1: in front of me. And that's when her career went

645
00:40:18,120 --> 00:40:23,000
Speaker 1: down the drain. Because the far left in America despises Israel.

646
00:40:23,440 --> 00:40:26,120
Speaker 1: But I thought liberals were so full of light and

647
00:40:26,880 --> 00:40:30,520
Speaker 1: accepting and open and they, you know, believed in the

648
00:40:30,520 --> 00:40:32,560
Speaker 1: free exchange of ideas. It's not like that at all.

649
00:40:32,880 --> 00:40:36,080
Speaker 1: The fascinating thing to me is and I know you

650
00:40:36,080 --> 00:40:39,319
Speaker 1: you had a relationship with Bill Maher. I've interviewed him

651
00:40:39,320 --> 00:40:41,799
Speaker 1: a number of times. I think he's a jackass, but

652
00:40:42,000 --> 00:40:45,440
Speaker 1: it was, or even Jimmy Kimmel Moore recently Sean Hannity.

653
00:40:45,600 --> 00:40:49,160
Speaker 1: I never called for anybody's firing, never have no boycotts.

654
00:40:49,160 --> 00:40:52,920
Speaker 1: I don't support them. I refuse to. People can listen

655
00:40:52,960 --> 00:40:55,040
Speaker 1: to watch what they want and then that's the end

656
00:40:55,040 --> 00:40:57,440
Speaker 1: of the sentence for me. But I don't even want

657
00:40:57,440 --> 00:41:00,719
Speaker 1: to use the term cancel culture. I just fine that

658
00:41:00,760 --> 00:41:03,640
Speaker 1: those the people that are really tolerant are conservatives. I

659
00:41:03,719 --> 00:41:07,560
Speaker 1: don't want any liberal fired. I don't want any show boycotted.

660
00:41:08,360 --> 00:41:10,640
Speaker 1: They've gone after Jimmy Kimmel. Jimmy Kimmel and I had

661
00:41:10,640 --> 00:41:13,279
Speaker 1: a big public fight when they tried to call for

662
00:41:13,360 --> 00:41:16,839
Speaker 1: his firing. I absolutely would not chime in on that.

663
00:41:16,920 --> 00:41:19,600
Speaker 1: I'm never going to. You know now they're trying to

664
00:41:19,640 --> 00:41:22,920
Speaker 1: go back and you go after even Howard Stern, I mean,

665
00:41:23,000 --> 00:41:25,399
Speaker 1: somebody that could pretty much do and say anything over

666
00:41:25,440 --> 00:41:28,480
Speaker 1: the years. I'm not for that either. Nor is a

667
00:41:28,640 --> 00:41:31,359
Speaker 1: skit that he did twenty five years ago. I think

668
00:41:31,440 --> 00:41:33,680
Speaker 1: him and Robin are two of the most probably the

669
00:41:33,680 --> 00:41:38,120
Speaker 1: most gifted team of radio personalities ever to exist. Look,

670
00:41:38,880 --> 00:41:41,680
Speaker 1: I made a point, and you made the point earlier

671
00:41:41,719 --> 00:41:46,879
Speaker 1: in this conversation doesn't come from conservative people. They don't

672
00:41:46,960 --> 00:41:51,440
Speaker 1: do the boycott thing because conservative traditional Americans, even though

673
00:41:51,480 --> 00:41:54,120
Speaker 1: they don't like a lot of these people, and that's

674
00:41:54,560 --> 00:41:57,880
Speaker 1: certainly they're right not to like them, all right, they

675
00:41:58,520 --> 00:42:02,520
Speaker 1: don't want to shut down speech, but the totalitarian left does.

676
00:42:03,520 --> 00:42:07,359
Speaker 1: That's the big difference. So a guy like mar who

677
00:42:07,400 --> 00:42:11,120
Speaker 1: I stuck up with for when after nine to eleven

678
00:42:11,160 --> 00:42:16,200
Speaker 1: he said the killers weren't cowards, an ABC candom to that.

679
00:42:16,440 --> 00:42:18,920
Speaker 1: ABC fired him for that. I said that was wrong.

680
00:42:19,080 --> 00:42:22,359
Speaker 1: I didn't believe in his analysis, but they shouldn't have

681
00:42:22,360 --> 00:42:25,719
Speaker 1: silenced him. And now ABC Disney has gone totally the

682
00:42:25,760 --> 00:42:28,440
Speaker 1: other way. Now, as I said, they're putting up haters

683
00:42:28,440 --> 00:42:32,200
Speaker 1: and paying them. So what we have is a collapsive

684
00:42:32,200 --> 00:42:38,160
Speaker 1: standards in corporations, because six corporations control ninety percent of

685
00:42:38,160 --> 00:42:41,279
Speaker 1: the news flow in this country, and they're okay, if

686
00:42:41,280 --> 00:42:44,320
Speaker 1: you're a left winger, you can hate anybody you want,

687
00:42:44,840 --> 00:42:47,960
Speaker 1: but if you're a conservative, you certainly cannot do that.

688
00:42:48,120 --> 00:42:52,000
Speaker 1: You will be fired. It's it's getting really scary. But

689
00:42:52,360 --> 00:42:57,400
Speaker 1: I think with this backlash with Goyo, there's something fascinating happening.

690
00:42:57,400 --> 00:43:00,239
Speaker 1: And actually I don't know if you remember the whole

691
00:43:00,320 --> 00:43:04,000
Speaker 1: car incident with me and somebody's trying to boycott me

692
00:43:04,040 --> 00:43:07,320
Speaker 1: at the time, I don't even remember who. And anyway,

693
00:43:07,520 --> 00:43:10,719
Speaker 1: then the most incredible audience at all the radio and

694
00:43:10,800 --> 00:43:16,600
Speaker 1: TV bill They started dropping their carrog machines off of balconies.

695
00:43:16,960 --> 00:43:20,920
Speaker 1: They started shooting them with shotguns. They started beating them

696
00:43:20,920 --> 00:43:25,200
Speaker 1: with bats and with golf claws, and you know, and

697
00:43:25,280 --> 00:43:28,080
Speaker 1: what I ended up doing, rather than going in the

698
00:43:28,120 --> 00:43:31,080
Speaker 1: direction maybe people would have thought, I reached out and

699
00:43:31,160 --> 00:43:34,640
Speaker 1: I purchased out of my own pocket. How many how

700
00:43:34,640 --> 00:43:37,120
Speaker 1: many carrog machines, Linda, did we buy? Like five hundred

701
00:43:37,120 --> 00:43:39,760
Speaker 1: of them? We bought a thousand. We bought a thousand,

702
00:43:39,800 --> 00:43:42,360
Speaker 1: and anyone that you know showed us that they broke

703
00:43:42,400 --> 00:43:45,080
Speaker 1: their carrog machine, we replaced them. And I was very

704
00:43:45,160 --> 00:43:47,560
Speaker 1: appreciative because it put a stop to it. And I

705
00:43:47,600 --> 00:43:52,600
Speaker 1: think this Goya Bye bycott as they call it, is

706
00:43:53,000 --> 00:43:56,880
Speaker 1: having the same impact that gives me hope. And that

707
00:43:57,120 --> 00:44:01,520
Speaker 1: is what is necessary in America to stop the madness

708
00:44:01,680 --> 00:44:05,160
Speaker 1: that good people say, all right, I'm gonna buy Agaya stuff.

709
00:44:05,239 --> 00:44:08,840
Speaker 1: I'm going to reward the CEO for standing up for

710
00:44:08,960 --> 00:44:12,000
Speaker 1: his belief system. My campaign I'm Bill O'Reilly dot com

711
00:44:12,040 --> 00:44:15,120
Speaker 1: is stand up for your country, and this is a

712
00:44:15,280 --> 00:44:17,880
Speaker 1: concrete way you can do it. And if the folks

713
00:44:18,000 --> 00:44:22,200
Speaker 1: mobilize every time they see this boycott stuff, it will stop.

714
00:44:22,239 --> 00:44:25,640
Speaker 1: But that's the only thing that will stop it. Yeah,

715
00:44:25,719 --> 00:44:28,919
Speaker 1: all right, Bill O'Reilly all things, Bill O'Reilly dot com.

716
00:44:28,920 --> 00:44:31,080
Speaker 1: We'll take a break. We'll get his take on the election.

717
00:44:31,120 --> 00:44:33,239
Speaker 1: Where we are now at this point, just a one

718
00:44:33,320 --> 00:44:36,800
Speaker 1: hundred and eleven days till you become the ultimajority of

719
00:44:36,800 --> 00:44:39,520
Speaker 1: the American people. That is, as we continue, Bill O'Reilly

720
00:44:39,520 --> 00:44:42,960
Speaker 1: all things O'Reilly at Bill O'Reilly dot com. All right,

721
00:44:43,040 --> 00:44:45,680
Speaker 1: so we're one hundred and eleven days out, mister simpleman,

722
00:44:45,800 --> 00:44:48,680
Speaker 1: where are we with this election? I think anybody that

723
00:44:48,760 --> 00:44:51,200
Speaker 1: tells you that they know how this is going to

724
00:44:51,440 --> 00:44:55,560
Speaker 1: end is guessing they've got a fifty fifty shot in

725
00:44:55,560 --> 00:44:58,240
Speaker 1: that sense. I don't believe the polls, and I believe

726
00:44:58,280 --> 00:45:02,480
Speaker 1: the race has been transformed by Biden saying that the

727
00:45:02,520 --> 00:45:05,680
Speaker 1: police have now become the enemy. He's part of the

728
00:45:05,760 --> 00:45:10,439
Speaker 1: defund movement or quote reallocation. He prefers that word. He's

729
00:45:10,480 --> 00:45:14,360
Speaker 1: embraced Bernie's agenda. He's even plagiarized the exact words. AOC

730
00:45:14,600 --> 00:45:17,840
Speaker 1: is in charge of climate five trillion in climate spending,

731
00:45:17,920 --> 00:45:22,440
Speaker 1: he announced yesterday. And then we've got Beto O'Rourke, Chuck Schumer,

732
00:45:22,440 --> 00:45:25,600
Speaker 1: and Nancy Pelosi to fill out the entire squad. Certainly

733
00:45:25,680 --> 00:45:28,080
Speaker 1: Joe Biden is selected, the country will lurch to the

734
00:45:28,160 --> 00:45:31,160
Speaker 1: left and the economy will crash. You no doubt that.

735
00:45:31,400 --> 00:45:35,080
Speaker 1: But there is a huge backlash coming in America that

736
00:45:35,320 --> 00:45:39,520
Speaker 1: I think we'll put Donald Trump into office if he

737
00:45:39,760 --> 00:45:44,759
Speaker 1: maintains a calm posture. Question as a president. Trying to

738
00:45:44,840 --> 00:45:50,480
Speaker 1: bait him, why would Biden go along with the defund

739
00:45:50,560 --> 00:45:54,399
Speaker 1: the police efforts? Police are now the enemy? Why would

740
00:45:54,400 --> 00:45:58,080
Speaker 1: he adopt all of Bernie and AOC's agenda, Because that

741
00:45:58,120 --> 00:46:01,879
Speaker 1: goes against conventional wisdom. You can go hard left or right,

742
00:46:01,960 --> 00:46:05,320
Speaker 1: then move to the center. Here's the reason Joe Biden

743
00:46:05,360 --> 00:46:08,080
Speaker 1: lives in a bubble. He gets his information from the

744
00:46:08,120 --> 00:46:12,840
Speaker 1: Washington Post, number one, New York Times, number two, CNN,

745
00:46:12,880 --> 00:46:17,280
Speaker 1: and NBC News three and four. That's all he hears.

746
00:46:18,000 --> 00:46:21,520
Speaker 1: He believes that most Americans are on the side of

747
00:46:21,600 --> 00:46:29,040
Speaker 1: the radical left. That is his huge mistake. I agree.

748
00:46:29,120 --> 00:46:33,000
Speaker 1: The last week and a half, mark this date, Biden

749
00:46:33,120 --> 00:46:39,839
Speaker 1: adopting Bernie AOC and defunding Mark this week. It will

750
00:46:39,920 --> 00:46:42,600
Speaker 1: define a big part in my view of what the

751
00:46:42,640 --> 00:46:46,120
Speaker 1: result might be. All right, Bill O'Reilly dot com, simple man,

752
00:46:46,120 --> 00:46:48,359
Speaker 1: Bill O'Reilly, thank you. As always, when we come back,

753
00:46:48,400 --> 00:46:52,440
Speaker 1: we get a coronavirus update and yes, a vaccine on

754
00:46:52,480 --> 00:46:56,799
Speaker 1: the horizon. Some good news, doctor osways in next twenty

755
00:46:56,880 --> 00:46:59,160
Speaker 1: days now live free or die America in the world

756
00:46:59,200 --> 00:47:02,360
Speaker 1: on the brink, it's on hyperbole. It is the reality

757
00:47:02,360 --> 00:47:06,080
Speaker 1: of what I see. We've got a ton of news,

758
00:47:06,360 --> 00:47:09,279
Speaker 1: and a lot of it is very good news. If

759
00:47:09,320 --> 00:47:12,960
Speaker 1: there is such a thing about well, a virus the

760
00:47:13,040 --> 00:47:16,640
Speaker 1: worst pandemic since nineteen seventeen and eighteen in the Spanish flu.

761
00:47:17,400 --> 00:47:20,960
Speaker 1: I talked very early and very often about my belief

762
00:47:21,120 --> 00:47:24,200
Speaker 1: in the medical researchers in this country, in the world,

763
00:47:24,400 --> 00:47:29,960
Speaker 1: especially this country, my belief in the scientists, the doctors,

764
00:47:30,080 --> 00:47:34,000
Speaker 1: the medical professionals. No, yeah, the models were wrong, the

765
00:47:34,120 --> 00:47:37,919
Speaker 1: predictions were off. There was so much confusion, but we've

766
00:47:38,040 --> 00:47:41,120
Speaker 1: learned a lot of lessons on the health front. This

767
00:47:41,200 --> 00:47:46,440
Speaker 1: is phenomenal news. Pharmaceutical company Maderna is now beginning testing

768
00:47:46,680 --> 00:47:50,880
Speaker 1: for its coronavirus after all, the patients that took part

769
00:47:50,960 --> 00:47:57,240
Speaker 1: of their initial trial showed robust responses to their Basically,

770
00:47:57,280 --> 00:48:00,560
Speaker 1: their vaccine is what I take it as. They had

771
00:48:00,600 --> 00:48:04,920
Speaker 1: forty five volunteers and they developed rapid and a strong

772
00:48:05,120 --> 00:48:09,000
Speaker 1: immune response when administered the vaccine. None of the participants

773
00:48:09,000 --> 00:48:12,920
Speaker 1: showed severe side effects, according to Maderna, and they developed

774
00:48:12,960 --> 00:48:17,880
Speaker 1: the vaccine and coordination with the National Institute of Allergy

775
00:48:17,920 --> 00:48:22,439
Speaker 1: and Infectious Diseases as part of Operation Warp Speed, which

776
00:48:22,480 --> 00:48:26,000
Speaker 1: is the President's effort to find a vaccine. Doctor Fauci,

777
00:48:26,080 --> 00:48:29,479
Speaker 1: the head of this group top infectious disease experts, said,

778
00:48:30,120 --> 00:48:34,320
Speaker 1: with the White House Coronavirus Task Force applauding the initial studies. Now,

779
00:48:34,480 --> 00:48:37,680
Speaker 1: they company said they will begin phase three of its

780
00:48:37,760 --> 00:48:41,000
Speaker 1: vaccine trial on July twenty seventh with a study of

781
00:48:41,120 --> 00:48:45,000
Speaker 1: thirty thousand participants. They'll all be volunteers. By the way,

782
00:48:45,200 --> 00:48:48,120
Speaker 1: if it wouldn't impact my own life insurance policies, I'd

783
00:48:48,120 --> 00:48:51,280
Speaker 1: probably offer to do it myself. But anyway, the doctor,

784
00:48:51,320 --> 00:48:54,120
Speaker 1: the chief medical officer at Maderna, says the trial showed

785
00:48:54,160 --> 00:48:59,280
Speaker 1: the vaccine elicited this robust immune response across all dose levels.

786
00:49:00,080 --> 00:49:03,560
Speaker 1: They broke the patients up into varying groups and varying doses.

787
00:49:04,040 --> 00:49:07,560
Speaker 1: The hundred microgram dose proved to be the optimal dose.

788
00:49:07,800 --> 00:49:10,200
Speaker 1: They gave doses a twenty five one, two hundred and

789
00:49:10,200 --> 00:49:15,000
Speaker 1: fifty grams, and they said they've already manufactured enough doses

790
00:49:15,040 --> 00:49:17,280
Speaker 1: of the vaccine for the next phase of the trial,

791
00:49:17,840 --> 00:49:20,880
Speaker 1: and they're on track to produce a billion doses of

792
00:49:21,040 --> 00:49:24,719
Speaker 1: vaccine by next year. Doctor Oz, our medical a team.

793
00:49:24,800 --> 00:49:28,600
Speaker 1: Doctor Oz, you're the pro you're the expert. This gives

794
00:49:28,640 --> 00:49:32,040
Speaker 1: me the first real hope I feel I can sink

795
00:49:32,120 --> 00:49:34,439
Speaker 1: my teeth into that we are well on our way

796
00:49:34,520 --> 00:49:38,160
Speaker 1: to now defeating the invisible enemy. Well, it's a major advances.

797
00:49:38,440 --> 00:49:41,520
Speaker 1: This is the leading group in the United States pursuing

798
00:49:41,760 --> 00:49:45,360
Speaker 1: the vaccine. There's you know, seventeen the vaccines in clinical trials.

799
00:49:45,800 --> 00:49:47,920
Speaker 1: Everything you said one hundred percent on target. Let me

800
00:49:47,920 --> 00:49:50,439
Speaker 1: just highlight a couple of things. Of the forty five

801
00:49:50,480 --> 00:49:54,200
Speaker 1: patients who got these vaccines, remember the two doses a

802
00:49:54,239 --> 00:49:57,799
Speaker 1: month apart. They didn't just have antibodies. They had antibodies.

803
00:49:57,840 --> 00:50:00,720
Speaker 1: They were about four times more than people who've actually

804
00:50:00,719 --> 00:50:03,880
Speaker 1: had the COVID nineteen illness have actually gotten. So they

805
00:50:05,360 --> 00:50:08,920
Speaker 1: what does that mean so well, theoretically it means that

806
00:50:08,960 --> 00:50:12,319
Speaker 1: their immune response will be hyper vigilant, supercharged, and ready

807
00:50:12,360 --> 00:50:14,800
Speaker 1: to go to battle if it's exposed to COVID nineteen.

808
00:50:14,840 --> 00:50:16,560
Speaker 1: Now we don't know that yet because this is an

809
00:50:16,680 --> 00:50:19,400
Speaker 1: mr Anda vaccine. And I'm not going to drag everyone

810
00:50:19,400 --> 00:50:22,120
Speaker 1: in through medical school, but their old school vaccines and

811
00:50:22,440 --> 00:50:25,600
Speaker 1: nude school tech vaccines. The old school ones are they

812
00:50:25,719 --> 00:50:29,240
Speaker 1: used to just take a regular old mild cold virus.

813
00:50:29,239 --> 00:50:32,400
Speaker 1: They can add no virus, put parts of the thing

814
00:50:32,400 --> 00:50:34,400
Speaker 1: you try and make the vaccine against in it, and

815
00:50:34,440 --> 00:50:38,640
Speaker 1: then you just infect people with that. Proven works, you know,

816
00:50:38,920 --> 00:50:40,839
Speaker 1: it's the foundation of a lot of the vaccines. This

817
00:50:40,920 --> 00:50:43,000
Speaker 1: is a very different approach. They just took the little

818
00:50:43,000 --> 00:50:47,840
Speaker 1: snippet of mRNA and they fool the person into making

819
00:50:47,920 --> 00:50:49,279
Speaker 1: more of it, and then you react to that a

820
00:50:49,280 --> 00:50:51,840
Speaker 1: little bit of protein. So this is fantastic news that

821
00:50:51,920 --> 00:50:54,840
Speaker 1: the principle which from animals we know works works in

822
00:50:54,880 --> 00:50:58,120
Speaker 1: the humans. Now they've got to do the large US trial. Now,

823
00:50:58,320 --> 00:51:01,319
Speaker 1: the thirty thousand people who are entering this trial are

824
00:51:01,320 --> 00:51:03,520
Speaker 1: going to be tracked for two years. You might say,

825
00:51:03,520 --> 00:51:05,680
Speaker 1: why two years? Why didn't to go so long? Because

826
00:51:05,680 --> 00:51:07,719
Speaker 1: a third of the US population says, we don't trust

827
00:51:07,760 --> 00:51:09,920
Speaker 1: the vaccine. We think it's dangerous. So you've got to

828
00:51:09,960 --> 00:51:12,480
Speaker 1: really convince everybody that it's beyond the shadow of a

829
00:51:12,480 --> 00:51:16,160
Speaker 1: doubt safe enough for most people to take. But along

830
00:51:16,280 --> 00:51:18,879
Speaker 1: that path of two years, at some point, hopefully six

831
00:51:18,960 --> 00:51:21,640
Speaker 1: months from now, everyone's going to say there's so many

832
00:51:21,680 --> 00:51:24,520
Speaker 1: people who got the placebo who got infected just by

833
00:51:24,560 --> 00:51:27,480
Speaker 1: living their lives in America, compared to so few who

834
00:51:27,520 --> 00:51:31,520
Speaker 1: got the infection who got the actual vaccine, that the

835
00:51:31,600 --> 00:51:35,200
Speaker 1: trials should be terminated and we should just understand that

836
00:51:35,280 --> 00:51:37,560
Speaker 1: this is a safe and effective vaccine and then move

837
00:51:37,600 --> 00:51:41,080
Speaker 1: ahead with widespread use. Let's make an assumption here as

838
00:51:41,080 --> 00:51:45,399
Speaker 1: they begin now the trial of thirty thousand people. Let's

839
00:51:45,440 --> 00:51:48,919
Speaker 1: assume the results are the same as the forty five

840
00:51:49,000 --> 00:51:52,800
Speaker 1: people that they used in this most recent phase of trials.

841
00:51:53,400 --> 00:51:56,000
Speaker 1: And by the way, an official of Maderna saying they're

842
00:51:56,000 --> 00:51:58,480
Speaker 1: going to have tens of millions of vaccine doses by

843
00:51:58,520 --> 00:52:00,839
Speaker 1: the end of this year. Now, the question is if

844
00:52:00,880 --> 00:52:03,600
Speaker 1: the thirty thousand came back the same as the forty five,

845
00:52:03,880 --> 00:52:07,080
Speaker 1: and somebody said, doctor Oz, are you going to take

846
00:52:07,120 --> 00:52:09,920
Speaker 1: that vaccine? Would you take it? Now, assuming the thirty

847
00:52:09,920 --> 00:52:13,440
Speaker 1: thousand same results, what would you say, I'd take it yet,

848
00:52:13,520 --> 00:52:16,279
Speaker 1: thirty thousand people who are on it, people who are

849
00:52:16,520 --> 00:52:19,319
Speaker 1: I'd take it too. Yeah, but that'd be some people

850
00:52:19,320 --> 00:52:20,799
Speaker 1: will saying, we'll give me a year worth the data.

851
00:52:20,840 --> 00:52:22,799
Speaker 1: I don't want to have him late. I respect that.

852
00:52:23,200 --> 00:52:25,640
Speaker 1: I respect that a lot. Exactly, we don't have to

853
00:52:25,719 --> 00:52:27,680
Speaker 1: have everybody take to vaccine. We just have to have

854
00:52:27,800 --> 00:52:30,040
Speaker 1: most of people take to vaccine in order to get

855
00:52:30,120 --> 00:52:33,520
Speaker 1: hurt immunity and prevent the virus from running rapid rapid

856
00:52:33,560 --> 00:52:36,440
Speaker 1: in our communities. That way, especially the vulnerable members of

857
00:52:36,560 --> 00:52:39,440
Speaker 1: society and the nursing homes will be safe. You know,

858
00:52:39,760 --> 00:52:42,879
Speaker 1: it's pretty amazing to me. Now. I know you've read

859
00:52:42,880 --> 00:52:45,200
Speaker 1: this as well as I have, and we had talked

860
00:52:45,200 --> 00:52:48,400
Speaker 1: a lot during the midst of you know, this pandemic

861
00:52:48,480 --> 00:52:52,920
Speaker 1: about hydroxy chloroquin. Well, it turns out that we finally

862
00:52:53,000 --> 00:52:55,640
Speaker 1: do have a real study. You and I were both

863
00:52:55,719 --> 00:52:58,520
Speaker 1: critical of the VA It was a retro study, retrospect

864
00:52:58,520 --> 00:53:00,920
Speaker 1: of study, which you know, people were given it late

865
00:53:00,920 --> 00:53:04,440
Speaker 1: in the game. But the analysis shows that patients were

866
00:53:04,480 --> 00:53:08,080
Speaker 1: benefiting by taking high droxy chloroquin, especially when they took

867
00:53:08,120 --> 00:53:11,480
Speaker 1: it early and it turned out and I'll give you

868
00:53:11,520 --> 00:53:15,520
Speaker 1: the number, analyze the medical records of two thousand, five

869
00:53:15,600 --> 00:53:18,680
Speaker 1: hundred forty one patients and said it can be effective

870
00:53:18,719 --> 00:53:21,440
Speaker 1: during the early stages of the contracting the virus at

871
00:53:21,440 --> 00:53:25,120
Speaker 1: the right dose. And what we found is if you

872
00:53:25,239 --> 00:53:28,920
Speaker 1: take it early, it had a dramatic impact on saving

873
00:53:28,960 --> 00:53:32,279
Speaker 1: people's lives. Do you agree with that study? So this

874
00:53:32,320 --> 00:53:34,239
Speaker 1: is from the Henry Fort Hill system. I do believe

875
00:53:34,239 --> 00:53:36,320
Speaker 1: those have all done study. I spoke to the authors.

876
00:53:36,600 --> 00:53:38,560
Speaker 1: It was a retrospective study as well, and they were

877
00:53:38,560 --> 00:53:41,640
Speaker 1: not alone. Mount Sinai here in New York, which is

878
00:53:41,640 --> 00:53:45,120
Speaker 1: a massive, well respected system, had three thousand and seven

879
00:53:45,200 --> 00:53:49,200
Speaker 1: hundred patients that they also studied also give hydroxychloroquin early on,

880
00:53:49,640 --> 00:53:52,719
Speaker 1: and it both centers, both done on the centers, they're

881
00:53:52,719 --> 00:53:56,080
Speaker 1: systems of patients to get those large numbers. Both said

882
00:53:56,120 --> 00:53:58,799
Speaker 1: that they had about a twenty five percent mortality rate

883
00:53:59,080 --> 00:54:02,239
Speaker 1: in the average person who came in, but the people

884
00:54:02,280 --> 00:54:05,120
Speaker 1: who got hydroxy chloroquine early on, they dropped those numbers

885
00:54:05,120 --> 00:54:09,040
Speaker 1: in half. So it's very alluring information. I'll tell you

886
00:54:09,080 --> 00:54:11,080
Speaker 1: it does improve it yet only because we need to

887
00:54:11,120 --> 00:54:13,319
Speaker 1: do the prospective study. But what I'm upset about is

888
00:54:13,320 --> 00:54:15,840
Speaker 1: we've scared people so much about this drug. Neither of

889
00:54:15,880 --> 00:54:19,480
Speaker 1: these centers, by the way, had major complications from hydroxy chloroquine.

890
00:54:19,880 --> 00:54:23,160
Speaker 1: So now the people, the researchers who I've been talking

891
00:54:23,200 --> 00:54:25,880
Speaker 1: to trying to do the studies to prove what the

892
00:54:25,960 --> 00:54:28,359
Speaker 1: Chinese have shown in their randomized trials, which is there's

893
00:54:28,360 --> 00:54:31,840
Speaker 1: a benefit of hydroxy chloroquine with zinc or zithromycin or

894
00:54:31,840 --> 00:54:34,640
Speaker 1: whatever they're combining it with, are unable to recruit patients

895
00:54:35,000 --> 00:54:39,080
Speaker 1: because they've We've reved up the fear, so people say,

896
00:54:39,080 --> 00:54:40,959
Speaker 1: I don't want to take a chance. It's too days.

897
00:54:40,960 --> 00:54:43,279
Speaker 1: I hate to tell you. That's the intersection of politics

898
00:54:43,280 --> 00:54:46,759
Speaker 1: of medicine that you and I have also discussed at length, unfortunately,

899
00:54:46,960 --> 00:54:49,160
Speaker 1: and we've spoken about the reality that when you you

900
00:54:49,480 --> 00:54:51,239
Speaker 1: said this to me, and I've repeated it often when

901
00:54:51,280 --> 00:54:53,640
Speaker 1: you can when you combine politics with medicine, you get

902
00:54:53,640 --> 00:54:58,120
Speaker 1: politics and left what about room dissevere I know there's

903
00:54:58,160 --> 00:55:00,640
Speaker 1: a lot of hope that was the RNA drug that

904
00:55:00,920 --> 00:55:03,520
Speaker 1: was spoken of early then got a lot of hype.

905
00:55:03,560 --> 00:55:06,319
Speaker 1: I don't know any study that has shown anything on that,

906
00:55:06,400 --> 00:55:09,440
Speaker 1: do you not yet? But Rendezzervier. Although it did not

907
00:55:09,480 --> 00:55:11,920
Speaker 1: show life saving benefit in the one trial, it was

908
00:55:11,960 --> 00:55:14,880
Speaker 1: a very good prospective trial, so you know the kind

909
00:55:14,920 --> 00:55:17,000
Speaker 1: of trial we try and make decisions based on. And

910
00:55:17,160 --> 00:55:19,040
Speaker 1: it did show shortening of the hospital state. It's a

911
00:55:19,080 --> 00:55:22,719
Speaker 1: building block. I was also excited about the study on

912
00:55:22,800 --> 00:55:25,080
Speaker 1: steroids late in the course because it showed that you

913
00:55:25,080 --> 00:55:30,440
Speaker 1: could reduce the autoimmune reaction. The overreaction of the immune

914
00:55:30,480 --> 00:55:33,040
Speaker 1: system and the information that causes so made so much

915
00:55:33,120 --> 00:55:36,040
Speaker 1: damage that also saved lives. In the study that the

916
00:55:38,160 --> 00:55:42,040
Speaker 1: zone or something stronger decamenta zone. It was a cousin

917
00:55:42,080 --> 00:55:45,600
Speaker 1: of PREDNA zone. But again the concept was based on

918
00:55:45,640 --> 00:55:49,120
Speaker 1: an observation that almost all doctors were having, which is

919
00:55:49,360 --> 00:55:52,160
Speaker 1: the early course of illness was primarily because the virus.

920
00:55:52,200 --> 00:55:53,919
Speaker 1: Most people did not die from it, and they seem

921
00:55:53,960 --> 00:55:56,080
Speaker 1: to do okay. Then there seems to be the second

922
00:55:56,080 --> 00:55:59,440
Speaker 1: wave that because your body's immune system starts to overreact

923
00:55:59,520 --> 00:56:03,080
Speaker 1: and you form blood clots in your major vessels, and

924
00:56:03,120 --> 00:56:06,480
Speaker 1: then you have a bunch of other cycling cascade that

925
00:56:06,560 --> 00:56:08,400
Speaker 1: starts to take place, and you want to stop that

926
00:56:08,560 --> 00:56:10,640
Speaker 1: from happening. You know, the part of the reason I

927
00:56:10,640 --> 00:56:13,520
Speaker 1: think the mortality rates have not been as high. I mean,

928
00:56:13,560 --> 00:56:15,759
Speaker 1: the ice admission rates in the southern states that have

929
00:56:15,840 --> 00:56:18,160
Speaker 1: been hard hit seems to be about half of what

930
00:56:18,239 --> 00:56:20,040
Speaker 1: it was up here in the New York, New Jersey area.

931
00:56:20,040 --> 00:56:22,280
Speaker 1: And we think part of that might be obviously younger

932
00:56:22,280 --> 00:56:25,120
Speaker 1: patients that they do better, but some of it might

933
00:56:25,120 --> 00:56:28,080
Speaker 1: be were just managing the disease better, not just because

934
00:56:28,239 --> 00:56:32,680
Speaker 1: I mean I was medications. I had Governor abbadon last night,

935
00:56:32,719 --> 00:56:36,800
Speaker 1: and I had Ron de Santis on the previous week.

936
00:56:37,200 --> 00:56:40,000
Speaker 1: And the biggest change is that the numbers of young

937
00:56:40,080 --> 00:56:43,120
Speaker 1: people contracting it now are dramatic. I mean, the average

938
00:56:43,120 --> 00:56:46,160
Speaker 1: age is like twenty one. The average age is you know,

939
00:56:46,680 --> 00:56:49,279
Speaker 1: much much younger. And we all know the one thing

940
00:56:49,280 --> 00:56:53,600
Speaker 1: that remained constant was that older people compromised immune systems

941
00:56:53,640 --> 00:56:59,200
Speaker 1: underlying conditions were in problems. Florida, we also discovered I

942
00:56:59,200 --> 00:57:03,600
Speaker 1: couldn't believe this yesterday the Florida Department i Health. Apparently

943
00:57:03,800 --> 00:57:06,799
Speaker 1: all these public and private laboratories they were given back

944
00:57:06,840 --> 00:57:11,239
Speaker 1: one percent positivity rates. In other words, every numbers were

945
00:57:11,320 --> 00:57:15,399
Speaker 1: way inflated in Florida, which you know, on the political side,

946
00:57:15,400 --> 00:57:17,160
Speaker 1: they've been hammering the Santa's on it. But it had

947
00:57:17,240 --> 00:57:20,040
Speaker 1: not been true. Well I saw that too. This actually

948
00:57:20,080 --> 00:57:23,160
Speaker 1: came out of my affiliate down in Orlando, very good station,

949
00:57:23,240 --> 00:57:25,800
Speaker 1: and I trust their efforts. I got to say, you know,

950
00:57:25,960 --> 00:57:29,760
Speaker 1: across the board the we're sort of running into the

951
00:57:29,800 --> 00:57:32,400
Speaker 1: same mod block, which is there are things we can

952
00:57:32,440 --> 00:57:34,960
Speaker 1: do to make a difference. Wearing masks a good example,

953
00:57:35,320 --> 00:57:37,560
Speaker 1: more data, you know, which you said me nice to

954
00:57:37,760 --> 00:57:41,040
Speaker 1: you texted me an article lastly on that beautifully articulates

955
00:57:41,600 --> 00:57:44,160
Speaker 1: a great story. But we've got to get clear on

956
00:57:44,800 --> 00:57:47,680
Speaker 1: what we're running after. And I don't even think that

957
00:57:47,720 --> 00:57:49,800
Speaker 1: it was the opening of the States, at least initially

958
00:57:49,800 --> 00:57:53,520
Speaker 1: they caused this. And doctor Redfield from the CDC, who's

959
00:57:53,520 --> 00:57:55,800
Speaker 1: got more access to data than anybody else, said he

960
00:57:56,120 --> 00:57:58,320
Speaker 1: does not think that the Memorial Day. I'm sorry that

961
00:57:58,360 --> 00:58:00,560
Speaker 1: the opening of the States was the problem. The Memorial

962
00:58:00,640 --> 00:58:03,120
Speaker 1: Day weekend was a problem, and everyone started traveling around.

963
00:58:03,120 --> 00:58:06,560
Speaker 1: And we're not defenseless, that's the point here. We've got

964
00:58:06,600 --> 00:58:08,880
Speaker 1: all kinds of tools. And can I have two seconds?

965
00:58:08,880 --> 00:58:10,440
Speaker 1: They explained the study that you sent to me, yea

966
00:58:10,480 --> 00:58:14,080
Speaker 1: go ahead. Looked at two two hairstylists, two hairdressers, and

967
00:58:14,200 --> 00:58:16,360
Speaker 1: one of them had gotten pretty sick, and they both

968
00:58:16,360 --> 00:58:18,600
Speaker 1: got tested and both of them had COVID nineteen. But

969
00:58:18,760 --> 00:58:21,120
Speaker 1: before they got tested and shut down, they took care

970
00:58:21,120 --> 00:58:23,240
Speaker 1: of about one hundred and forty people. Half of those

971
00:58:23,600 --> 00:58:26,040
Speaker 1: None of those people, by the way, got symptoms, and

972
00:58:26,160 --> 00:58:28,440
Speaker 1: half of them actually got COVID nineteen tests as part

973
00:58:28,440 --> 00:58:30,600
Speaker 1: of the study, and none of them were positive. None.

974
00:58:31,040 --> 00:58:33,880
Speaker 1: So how is it possible two people in a closed

975
00:58:33,960 --> 00:58:37,720
Speaker 1: environment more than fifteen minutes exposure, with both whom are

976
00:58:37,720 --> 00:58:40,000
Speaker 1: positive passed it to not one of one hundred and

977
00:58:40,080 --> 00:58:42,400
Speaker 1: forty people that we know of. And the difference was

978
00:58:42,480 --> 00:58:45,960
Speaker 1: they wore masks are old fashioned cloth. You know, I've

979
00:58:46,000 --> 00:58:47,680
Speaker 1: got the crap beat out of me a little bit

980
00:58:47,680 --> 00:58:49,680
Speaker 1: from my position on this, but I lived in the

981
00:58:49,720 --> 00:58:53,240
Speaker 1: middle of this like you, and I actually read a lot,

982
00:58:53,320 --> 00:58:54,680
Speaker 1: and I want to learn what we did right. The

983
00:58:54,720 --> 00:58:59,920
Speaker 1: CDC director now said, if everybody we had universal mask wearing,

984
00:59:00,440 --> 00:59:04,920
Speaker 1: coronavirus is under control in a month to eight weeks Max.

985
00:59:06,080 --> 00:59:09,080
Speaker 1: My argument has been, well, I'll wear a mask to

986
00:59:09,360 --> 00:59:13,720
Speaker 1: save Grandma, Grandpa, mom, dad, and so I can go

987
00:59:13,760 --> 00:59:16,440
Speaker 1: to a baseball you know, I'm obsessed and baseball game

988
00:59:16,560 --> 00:59:19,800
Speaker 1: or a concert outdoors, or a football game and I

989
00:59:19,960 --> 00:59:22,880
Speaker 1: kept using anecdotal information. I go to in the middle

990
00:59:22,920 --> 00:59:26,440
Speaker 1: of this, I call it a shift Adam shift storm.

991
00:59:26,640 --> 00:59:28,800
Speaker 1: I would go to my grocery store, in my drug store,

992
00:59:28,800 --> 00:59:32,000
Speaker 1: and everybody was there in the same cash years, same everybody,

993
00:59:32,120 --> 00:59:35,080
Speaker 1: same guys packing the shelves. Nobody got sick. They all

994
00:59:35,080 --> 00:59:38,840
Speaker 1: wore masks. So my little anecdotal evidence as they work,

995
00:59:39,320 --> 00:59:42,280
Speaker 1: it's about freedom. To me, face coverings don't take away

996
00:59:42,280 --> 00:59:43,520
Speaker 1: our free and they give us free and they give

997
00:59:43,560 --> 00:59:44,960
Speaker 1: us freedom that we don't have to have government to

998
00:59:45,000 --> 00:59:46,280
Speaker 1: tell us what to do. They give us freedom as

999
00:59:46,320 --> 00:59:48,320
Speaker 1: it can open our econoy go to a ball game.

1000
00:59:48,360 --> 00:59:50,600
Speaker 1: Maybe we don't even know how powerful they are because

1001
00:59:50,640 --> 00:59:52,320
Speaker 1: we haven't done it. But the best estimates from the

1002
00:59:52,320 --> 00:59:54,880
Speaker 1: folks that I trust is if we can get eight

1003
00:59:55,680 --> 00:59:58,600
Speaker 1: Americans to wear masks in public, this virus would be

1004
00:59:58,600 --> 01:00:01,360
Speaker 1: come up pretty much the Lenza virus and its behavior.

1005
01:00:01,400 --> 01:00:03,320
Speaker 1: We'd be able to do just about everything we wanted

1006
01:00:03,360 --> 01:00:05,320
Speaker 1: to do. We don't know that for sure. It's very

1007
01:00:05,400 --> 01:00:08,760
Speaker 1: sure turnal systems, right, It's it's not to me. It's

1008
01:00:08,800 --> 01:00:11,000
Speaker 1: like can we can I can you just do it

1009
01:00:11,000 --> 01:00:13,120
Speaker 1: for Grandma? And I don't have a grandmother, but I

1010
01:00:13,160 --> 01:00:15,400
Speaker 1: don't want to get somebody else as grandmother sick. All right,

1011
01:00:15,480 --> 01:00:18,160
Speaker 1: stay right there, doctor Oz, with us. More questions on

1012
01:00:18,200 --> 01:00:22,360
Speaker 1: the other side, right now, final moments, Doctor Oz remains

1013
01:00:22,440 --> 01:00:26,600
Speaker 1: with us. Really good news on Maderna and now we're

1014
01:00:26,600 --> 01:00:29,680
Speaker 1: moving to the next phase of clinical trials. Thirty thousand

1015
01:00:30,720 --> 01:00:33,160
Speaker 1: and I agree with you about the mass for other

1016
01:00:33,240 --> 01:00:36,920
Speaker 1: people because it's now, it's definitely it looks like, you know,

1017
01:00:37,040 --> 01:00:39,720
Speaker 1: a vaccine is on the horizon, so you know, I

1018
01:00:39,760 --> 01:00:41,320
Speaker 1: wish people would do it, but I'm not in the

1019
01:00:41,440 --> 01:00:44,000
Speaker 1: business of telling people how to live their lives, Doctor Oz.

1020
01:00:44,040 --> 01:00:45,720
Speaker 1: I'm sure you have patience. You tell them to quit

1021
01:00:45,760 --> 01:00:47,959
Speaker 1: smoking and lose weight, and a lot of them probably

1022
01:00:48,040 --> 01:00:50,920
Speaker 1: don't listen to you. It doesn't work. That's the unfortunate reality.

1023
01:00:50,960 --> 01:00:53,160
Speaker 1: It's right, it doesn't, you know. I tell you one

1024
01:00:53,200 --> 01:00:55,000
Speaker 1: of the best lessons I learned from Oprah, as you know,

1025
01:00:55,240 --> 01:00:57,640
Speaker 1: my partner on the show and I started. We used

1026
01:00:57,680 --> 01:01:00,240
Speaker 1: to call Oprah University. But the best lesson and she

1027
01:01:00,360 --> 01:01:03,080
Speaker 1: ever gave me says, people do not change based on

1028
01:01:03,160 --> 01:01:05,520
Speaker 1: what they know. They change based on how they feel

1029
01:01:05,960 --> 01:01:08,920
Speaker 1: people in politics, people will understand politics like you know

1030
01:01:09,000 --> 01:01:11,200
Speaker 1: this well but if you're fighting at home with somebody,

1031
01:01:11,320 --> 01:01:13,400
Speaker 1: you don't convince your kids by telling them. If you

1032
01:01:13,480 --> 01:01:15,400
Speaker 1: chivinced your kids by either showing them but they're doing

1033
01:01:15,400 --> 01:01:18,080
Speaker 1: it yourself or getting the emotionally engaged. And I think

1034
01:01:18,160 --> 01:01:21,480
Speaker 1: masks have been described as a way of sort of

1035
01:01:21,880 --> 01:01:24,000
Speaker 1: color coding. Whether you're on one side or the all

1036
01:01:24,120 --> 01:01:26,320
Speaker 1: or the other. It's about neither of that. It's about

1037
01:01:26,320 --> 01:01:28,520
Speaker 1: the issue you've been talking about. And fundamentally, it's about

1038
01:01:28,520 --> 01:01:31,520
Speaker 1: being kindness, which the Republicans and Democrats have in them.

1039
01:01:31,560 --> 01:01:34,240
Speaker 1: We are Americans, it's natural to us, and if we

1040
01:01:34,280 --> 01:01:37,360
Speaker 1: don't deal with the mask is a metaphor for being

1041
01:01:37,400 --> 01:01:41,120
Speaker 1: attentive to folks around us, social distancing being a good example.

1042
01:01:41,280 --> 01:01:44,320
Speaker 1: How much about hassle? Is that? All right? Doctor Oz? Hope?

1043
01:01:44,440 --> 01:01:48,640
Speaker 1: This gives us a lot of hope. CDC Director. If

1044
01:01:48,640 --> 01:01:51,240
Speaker 1: everyone wears a mask, the thing's gone in less than

1045
01:01:51,280 --> 01:01:54,600
Speaker 1: two months, four or six weeks. It's over all right.

1046
01:01:54,680 --> 01:01:58,040
Speaker 1: We'll keep everybody updated, Thank you, sir, when week come back.

1047
01:01:58,080 --> 01:02:02,680
Speaker 1: The president of Liberty University, Jerry Folwell, announces his lawsuit

1048
01:02:02,840 --> 01:02:06,320
Speaker 1: against the New York toilet paper. Time all right, glad

1049
01:02:06,320 --> 01:02:08,800
Speaker 1: you with us News round up Information Overload hour Sean

1050
01:02:08,840 --> 01:02:11,680
Speaker 1: Hannity's show. We're going to be joined in a second

1051
01:02:11,680 --> 01:02:15,560
Speaker 1: by Jerry Folwell, president of Liberty University, announcing his suit

1052
01:02:16,160 --> 01:02:19,080
Speaker 1: against the New York toilet paper Times. Now this on

1053
01:02:19,120 --> 01:02:24,440
Speaker 1: the heels of this editor at what is a scathing

1054
01:02:24,720 --> 01:02:28,080
Speaker 1: beat down of the environment at the New York Times.

1055
01:02:28,560 --> 01:02:32,160
Speaker 1: I've obviously had my own issues with this newspaper. I'm

1056
01:02:32,200 --> 01:02:36,240
Speaker 1: not done following New York Times v. Palin. That case

1057
01:02:36,360 --> 01:02:38,640
Speaker 1: is expected to be up I think at some time

1058
01:02:38,640 --> 01:02:43,480
Speaker 1: in August. Watching these cases very very closely. Barry Weiss,

1059
01:02:43,520 --> 01:02:46,880
Speaker 1: you know, pushed back against the papers leftism, and she

1060
01:02:47,160 --> 01:02:51,600
Speaker 1: was just beaten down in a newsroom that treated her horrifically,

1061
01:02:52,600 --> 01:02:54,840
Speaker 1: sort of like, let me give you the TV example,

1062
01:02:54,920 --> 01:02:58,040
Speaker 1: fake news, CNN. That's what we're actually correcting a story

1063
01:02:58,080 --> 01:03:01,160
Speaker 1: that we have been reporting through the day today about

1064
01:03:01,160 --> 01:03:04,120
Speaker 1: an email that was sent to the Trump campaign to

1065
01:03:04,520 --> 01:03:09,480
Speaker 1: then candidate Trump Donald Trump Junior and others during the

1066
01:03:09,480 --> 01:03:13,480
Speaker 1: heat of the campaign season. This email included a decryption

1067
01:03:13,640 --> 01:03:17,480
Speaker 1: key and also something a link to where they could

1068
01:03:17,560 --> 01:03:20,480
Speaker 1: access some of these hacked Wiki League documents from the

1069
01:03:20,520 --> 01:03:24,800
Speaker 1: Democratic National Committee. Now, we've been reporting that this email

1070
01:03:24,880 --> 01:03:28,880
Speaker 1: came on September fourth, that was before some of these

1071
01:03:28,920 --> 01:03:32,800
Speaker 1: documents were publicly available. But we have just received obtained

1072
01:03:33,040 --> 01:03:37,080
Speaker 1: a copy of this email and instead we now learned

1073
01:03:37,080 --> 01:03:40,680
Speaker 1: that this email was on September fourteenth, So that is

1074
01:03:40,920 --> 01:03:45,720
Speaker 1: ten days later than what we originally reported earlier today,

1075
01:03:45,760 --> 01:03:49,919
Speaker 1: And this is appears to has changed the understanding of

1076
01:03:49,960 --> 01:03:53,280
Speaker 1: this story because initially it seemed perhaps they were being

1077
01:03:53,480 --> 01:03:58,640
Speaker 1: offered access to documents that were not yet publicly available. Now,

1078
01:03:58,680 --> 01:04:01,880
Speaker 1: our initial reporting on September fourth date was based on

1079
01:04:01,960 --> 01:04:05,920
Speaker 1: two sources who had seen this email, but that information

1080
01:04:06,040 --> 01:04:09,960
Speaker 1: was incorrect. Now but this email came on September fourteenth,

1081
01:04:10,120 --> 01:04:12,960
Speaker 1: not September fourth, as we said earlier. A newly released

1082
01:04:13,000 --> 01:04:16,080
Speaker 1: document backs the explanation for why Attorney General Jeff Sessions

1083
01:04:16,080 --> 01:04:18,760
Speaker 1: did not disclose meetings with the Russian ambassador on his

1084
01:04:18,880 --> 01:04:22,160
Speaker 1: security clearance forms. The email shows the FBI told a

1085
01:04:22,240 --> 01:04:26,040
Speaker 1: Sessions aid that Sessions was not required to disclose foreign

1086
01:04:26,040 --> 01:04:28,919
Speaker 1: contacts that happened during the course of his duties as

1087
01:04:29,000 --> 01:04:32,640
Speaker 1: a senator. The newly released email supports the Justice Department's

1088
01:04:32,640 --> 01:04:37,600
Speaker 1: original explanation given last May when first reported the omission

1089
01:04:37,920 --> 01:04:42,320
Speaker 1: of foreign contacts on Sessions security clearance form. CNN has

1090
01:04:42,400 --> 01:04:46,240
Speaker 1: retracted a previous report from its investigative unit that claimed

1091
01:04:46,240 --> 01:04:50,840
Speaker 1: that Congress was investigating a Russian investment fund with ties

1092
01:04:50,920 --> 01:04:55,360
Speaker 1: to the Trump campaign. CNN has said that the story

1093
01:04:55,680 --> 01:04:59,360
Speaker 1: did not go through the rigorous editorial process that it

1094
01:04:59,480 --> 01:05:02,880
Speaker 1: should have. It relied on a single anonymous source. What

1095
01:05:02,960 --> 01:05:05,800
Speaker 1: was interesting was that CNNs Brian Stelter, who was their

1096
01:05:05,880 --> 01:05:09,160
Speaker 1: media writer, noted in his story that they're not necessarily

1097
01:05:09,240 --> 01:05:11,840
Speaker 1: conceiving that the story is wrong, but they're saying that

1098
01:05:11,960 --> 01:05:15,760
Speaker 1: it did not meet their editorial standards. This case against

1099
01:05:15,800 --> 01:05:20,240
Speaker 1: The New York Times by Jerry Fallwope and Liberty University.

1100
01:05:21,480 --> 01:05:25,240
Speaker 1: It is literally that headlines Liberty brings back its students

1101
01:05:25,240 --> 01:05:30,400
Speaker 1: and coronavirus too, and a university reopened and students got sick,

1102
01:05:30,840 --> 01:05:34,000
Speaker 1: and op ed accused the school of creating its quote

1103
01:05:34,040 --> 01:05:38,880
Speaker 1: owned viral hotspot, reporting that after reopening, nearly a dozen

1104
01:05:39,040 --> 01:05:43,320
Speaker 1: students were sick with COVID symptoms, claiming that we assured

1105
01:05:43,360 --> 01:05:45,680
Speaker 1: the state and local governments we would abide by the

1106
01:05:45,880 --> 01:05:50,160
Speaker 1: government's pandemic directives, and they did not, And they portrayed

1107
01:05:50,160 --> 01:05:53,560
Speaker 1: the university as the only university to have allowed students

1108
01:05:53,560 --> 01:05:57,320
Speaker 1: to return who felt they needed to do so. Now,

1109
01:05:57,360 --> 01:06:01,160
Speaker 1: all of that, according to this suit, was completely made up.

1110
01:06:01,280 --> 01:06:05,840
Speaker 1: Jerry Folwell, president of Liberty University, joins us, this could

1111
01:06:05,840 --> 01:06:09,000
Speaker 1: be my reading of all of this a landmark case.

1112
01:06:09,440 --> 01:06:11,960
Speaker 1: Let's talk about it. It really, it really could. I'm

1113
01:06:11,960 --> 01:06:14,680
Speaker 1: hoping that we can undo New York Times versus Seliman.

1114
01:06:14,760 --> 01:06:17,800
Speaker 1: Great to be with you, Sean, but all of that

1115
01:06:17,840 --> 01:06:20,640
Speaker 1: you just listed was completely made up. They that was

1116
01:06:20,680 --> 01:06:23,840
Speaker 1: back in March. At the time they made those reports,

1117
01:06:23,840 --> 01:06:26,880
Speaker 1: there was not a single reported COVID case in Lynchburg,

1118
01:06:27,120 --> 01:06:30,240
Speaker 1: let alone on our campus. And we finished this semester

1119
01:06:30,360 --> 01:06:33,480
Speaker 1: two months later with twelve hundred kids living in the dorms.

1120
01:06:33,520 --> 01:06:38,400
Speaker 1: Normally there's eight thousand. Not a single faculty, staff member

1121
01:06:38,520 --> 01:06:42,800
Speaker 1: or student on campus ever got COVID and the school year.

1122
01:06:42,840 --> 01:06:46,360
Speaker 1: In the school year ended, they reported there were twelve

1123
01:06:46,480 --> 01:06:50,720
Speaker 1: COVID cases, and they talked. Their source was a doctor

1124
01:06:50,720 --> 01:06:54,040
Speaker 1: who as an office ten miles from our campus, and

1125
01:06:54,120 --> 01:06:56,360
Speaker 1: he had seen a few students who had an upper

1126
01:06:56,400 --> 01:07:00,400
Speaker 1: respiratory Any doctor will tell you an upper respirat tory

1127
01:07:00,800 --> 01:07:05,600
Speaker 1: infection is not COVID. Related to COVID is lower respiratory

1128
01:07:05,800 --> 01:07:08,400
Speaker 1: and he told her that he told the reporter Elizabeth

1129
01:07:08,440 --> 01:07:10,960
Speaker 1: Williams and that, and he told her to talk to

1130
01:07:10,960 --> 01:07:14,320
Speaker 1: the on campus doctor at our clinic. She was here

1131
01:07:14,360 --> 01:07:17,400
Speaker 1: for probably the better part of a week and didn't

1132
01:07:17,440 --> 01:07:20,920
Speaker 1: talk to us or to that doctor. She waited until

1133
01:07:21,000 --> 01:07:24,040
Speaker 1: Sunday when she got back to New York. In mind her,

1134
01:07:24,120 --> 01:07:28,080
Speaker 1: she was coming down from New York and another reporter

1135
01:07:28,120 --> 01:07:32,600
Speaker 1: from Pro Publica was coming from from DC, and they

1136
01:07:32,680 --> 01:07:35,960
Speaker 1: had to go past at least twenty no trespassing signs

1137
01:07:35,960 --> 01:07:39,400
Speaker 1: on campus. And so they're coming from a hotspot to

1138
01:07:39,480 --> 01:07:42,200
Speaker 1: a place where there are no cases in the disregard

1139
01:07:42,760 --> 01:07:46,200
Speaker 1: our no trespassing science which are there for our protection

1140
01:07:46,240 --> 01:07:52,040
Speaker 1: of our students. And they that the doctor that they

1141
01:07:52,080 --> 01:07:54,040
Speaker 1: didn't talk to us. They didn't talk to our doctor,

1142
01:07:54,480 --> 01:07:57,640
Speaker 1: and they waited until Sunday when they went back to

1143
01:07:57,720 --> 01:08:00,880
Speaker 1: New York to call us in the afternoon, they already

1144
01:08:00,880 --> 01:08:04,440
Speaker 1: had the story written and gave our people about an

1145
01:08:04,480 --> 01:08:08,400
Speaker 1: hour or two to respond, and then they ran the

1146
01:08:08,440 --> 01:08:11,160
Speaker 1: story at three o'clock. So that just shows you how

1147
01:08:11,800 --> 01:08:16,479
Speaker 1: deceitful they are. It shows how much they've become sort

1148
01:08:16,479 --> 01:08:24,840
Speaker 1: of a BuzzFeed, clickbait type newspaper. And they unfortunately for them,

1149
01:08:24,960 --> 01:08:28,720
Speaker 1: they picked on they lied about the wrong conservative organization,

1150
01:08:28,840 --> 01:08:33,479
Speaker 1: because we have the resources and the resolve to fight them,

1151
01:08:33,560 --> 01:08:36,559
Speaker 1: and we're going to fight them, and who knows where

1152
01:08:36,600 --> 01:08:39,639
Speaker 1: where it'll go, but we whatever money we win, we're

1153
01:08:39,640 --> 01:08:42,559
Speaker 1: going to donate it to charities that are helping people

1154
01:08:42,560 --> 01:08:46,880
Speaker 1: with COVID nineteen. And we think it was an intentional

1155
01:08:46,920 --> 01:08:51,120
Speaker 1: attack on our university because we're conservative and evangelical Christian university.

1156
01:08:51,760 --> 01:08:54,360
Speaker 1: And you don't have to believe me. Jill Abramson wrote

1157
01:08:54,360 --> 01:08:57,320
Speaker 1: a book a year ago in which she described how

1158
01:08:57,360 --> 01:09:00,519
Speaker 1: The New York Times had gone from the journalism business

1159
01:09:00,640 --> 01:09:04,920
Speaker 1: to the social media advertising business that cared only about

1160
01:09:04,960 --> 01:09:08,479
Speaker 1: quick bait headlines. And just yesterday, very wise. So I'm

1161
01:09:08,479 --> 01:09:10,559
Speaker 1: told by my friends in New York as a wonderful

1162
01:09:10,640 --> 01:09:16,439
Speaker 1: lady um rot a skating public letter that um the

1163
01:09:16,479 --> 01:09:20,280
Speaker 1: paper right stories according to a predetermined narrative that explicitly

1164
01:09:20,320 --> 01:09:25,400
Speaker 1: promotes progressive causes and orthodoxy and tolerates bigotry to do.

1165
01:09:25,479 --> 01:09:29,240
Speaker 1: So those are her words, not mine. And so we uh,

1166
01:09:29,520 --> 01:09:34,120
Speaker 1: we're we're loaded for bear, We're going to war. So

1167
01:09:34,320 --> 01:09:38,080
Speaker 1: have you given them an opportunity to retract? I apologize

1168
01:09:38,080 --> 01:09:41,719
Speaker 1: and they just refuse. Yes, and they won't. They double down,

1169
01:09:42,160 --> 01:09:46,639
Speaker 1: They're printed more more lies and see I think. Look,

1170
01:09:46,960 --> 01:09:49,439
Speaker 1: I mean they accused me of murder twice basically in

1171
01:09:49,479 --> 01:09:53,559
Speaker 1: two columns. And Um, I'm I haven't made a final decision,

1172
01:09:53,560 --> 01:09:56,439
Speaker 1: to be very honest. Um, I'm gonna watch your case

1173
01:09:56,560 --> 01:09:58,920
Speaker 1: very closely. And I'm gonna watch the case Sarah palin

1174
01:09:59,000 --> 01:10:01,839
Speaker 1: Stall is an open case against the member of targeted Districts.

1175
01:10:01,840 --> 01:10:05,600
Speaker 1: And there there the madness. You're right about Jill Abramson,

1176
01:10:05,800 --> 01:10:09,479
Speaker 1: as you are right about miss Weiss. Um, I mean literally,

1177
01:10:10,000 --> 01:10:13,960
Speaker 1: you know, bullying this this woman, and she just eviscerated

1178
01:10:14,000 --> 01:10:18,519
Speaker 1: them yesterday. Um, you mentioned Times v. Sullivan that that

1179
01:10:19,240 --> 01:10:22,160
Speaker 1: is the standard where you have to prove. This is

1180
01:10:22,160 --> 01:10:24,720
Speaker 1: where we get the term absence of malice. You have

1181
01:10:24,760 --> 01:10:28,080
Speaker 1: to They made no effort to reach out and get

1182
01:10:28,120 --> 01:10:30,920
Speaker 1: the truth from you, except for going on campus having

1183
01:10:30,960 --> 01:10:32,960
Speaker 1: come from a hot spot when there was no cases,

1184
01:10:33,000 --> 01:10:35,840
Speaker 1: and they openly lied and they had no evidence, and

1185
01:10:35,880 --> 01:10:38,120
Speaker 1: you had no chance to get even give your side,

1186
01:10:38,400 --> 01:10:40,080
Speaker 1: and they tell you how stupid they are. They took

1187
01:10:40,120 --> 01:10:43,960
Speaker 1: pictures on campus of the no Trespassing science and published

1188
01:10:43,960 --> 01:10:49,519
Speaker 1: them say no trespassing. That means you're not invited unless

1189
01:10:49,560 --> 01:10:52,559
Speaker 1: you're unless you have a student ID. That's right. And

1190
01:10:52,640 --> 01:10:56,599
Speaker 1: so anyway, they just, uh, they've proven they're showing their

1191
01:10:56,600 --> 01:11:00,640
Speaker 1: true colors. And you know, we we we I like

1192
01:11:00,760 --> 01:11:06,719
Speaker 1: to fight, you know that, and use if you don't

1193
01:11:06,760 --> 01:11:11,559
Speaker 1: care about the truth, and you you recklessly just slam

1194
01:11:11,560 --> 01:11:14,840
Speaker 1: a university. Now, I got to imagine that they were

1195
01:11:14,880 --> 01:11:18,680
Speaker 1: probably parents of students and parents of faculty, and and

1196
01:11:19,400 --> 01:11:22,920
Speaker 1: and family of faculty that probably read all of this,

1197
01:11:23,080 --> 01:11:26,439
Speaker 1: and we're probably very upset by it. Of course, of

1198
01:11:26,479 --> 01:11:29,160
Speaker 1: course they were scared to death. And the twelve hundred

1199
01:11:29,160 --> 01:11:31,919
Speaker 1: came back only came back because they either had elderly

1200
01:11:32,120 --> 01:11:34,639
Speaker 1: relatives at home, or they didn't have high speed internet

1201
01:11:34,680 --> 01:11:37,320
Speaker 1: at home so they couldn't do online courses, or they

1202
01:11:37,320 --> 01:11:39,799
Speaker 1: were international students so they really didn't have any choice.

1203
01:11:40,439 --> 01:11:44,120
Speaker 1: And we did everything the governor said we should do.

1204
01:11:44,200 --> 01:11:46,760
Speaker 1: We had no groups larger than ten people, we had

1205
01:11:47,080 --> 01:11:51,280
Speaker 1: social distancing, we had takeout food only, and but the

1206
01:11:51,360 --> 01:11:55,240
Speaker 1: mayor and the city manager of Lynchburg apparently believed some

1207
01:11:55,320 --> 01:11:58,120
Speaker 1: of these lives from the New York Times and attacked

1208
01:11:58,200 --> 01:12:01,200
Speaker 1: us publicly. And I'm still waiting an apology from both

1209
01:12:01,200 --> 01:12:04,000
Speaker 1: of them, and I haven't gotten it yet. Oh, maybe

1210
01:12:04,000 --> 01:12:07,680
Speaker 1: you'll get a lawsuit there too. The thing about lawsuits

1211
01:12:07,680 --> 01:12:10,559
Speaker 1: and this is where things become very dicey, especially if

1212
01:12:10,560 --> 01:12:13,439
Speaker 1: you're a public figure like we are. We're both public figures,

1213
01:12:14,000 --> 01:12:17,559
Speaker 1: because the standard is so high that now you have

1214
01:12:17,640 --> 01:12:20,280
Speaker 1: to devote million. This is not a cheap lawsuit. This

1215
01:12:20,320 --> 01:12:25,120
Speaker 1: will be millions of dollars. I think you have a

1216
01:12:25,400 --> 01:12:28,800
Speaker 1: you have a winnable case here. It is they're wrong

1217
01:12:28,840 --> 01:12:32,840
Speaker 1: on the facts, they had no due diligence, and when

1218
01:12:32,920 --> 01:12:35,800
Speaker 1: told the truth, they refuse to even acknowledge it. You

1219
01:12:35,920 --> 01:12:39,439
Speaker 1: gave them an opportunity to retract and apologize. They refuse that.

1220
01:12:40,160 --> 01:12:41,519
Speaker 1: So they kind of put you in a box and

1221
01:12:41,520 --> 01:12:44,400
Speaker 1: you have no choice. But now it's millions of dollars, depositions,

1222
01:12:45,439 --> 01:12:48,600
Speaker 1: years of litigation before you'll ultimately get a verdict that

1223
01:12:48,640 --> 01:12:50,639
Speaker 1: I think will come down in your favor. I hope so.

1224
01:12:51,120 --> 01:12:52,720
Speaker 1: But but you know what the other side of that,

1225
01:12:52,760 --> 01:12:57,040
Speaker 1: coins Sean they get away with them out No, there

1226
01:12:57,040 --> 01:13:00,479
Speaker 1: gras been the same amount in legal fees. They can't

1227
01:13:00,479 --> 01:13:03,720
Speaker 1: afford it, well they can't, but they can because they

1228
01:13:03,760 --> 01:13:06,600
Speaker 1: probably have insurance policies up to yazoo just for this

1229
01:13:06,840 --> 01:13:10,480
Speaker 1: very bause. But guess guess what happens to their premiums

1230
01:13:10,479 --> 01:13:14,439
Speaker 1: when they have to use this through the roof? So yes, right, so?

1231
01:13:14,800 --> 01:13:17,680
Speaker 1: But no malicious intent is a standard that even the

1232
01:13:17,760 --> 01:13:21,559
Speaker 1: United Kingdom doesn't have. You can It's much easier for

1233
01:13:21,600 --> 01:13:25,120
Speaker 1: somebody to win a libel or slander suit in the

1234
01:13:25,200 --> 01:13:27,920
Speaker 1: United Kingdom because they don't have to prove malicious intent.

1235
01:13:28,000 --> 01:13:30,080
Speaker 1: At least that's what I'm told. I'm not I'm not

1236
01:13:30,120 --> 01:13:34,080
Speaker 1: an English lawyer. But in the United States, the New

1237
01:13:34,160 --> 01:13:36,840
Speaker 1: York Times versus Sullivan, I think it was in the sixties.

1238
01:13:37,960 --> 01:13:40,800
Speaker 1: It is really a license to lie. And if as

1239
01:13:40,920 --> 01:13:43,479
Speaker 1: long as you're writing about a public figure, you can

1240
01:13:43,520 --> 01:13:45,720
Speaker 1: pretty much get away with telling any kind of low

1241
01:13:45,760 --> 01:13:50,200
Speaker 1: you want to tell that that precedent needs to be overturned,

1242
01:13:50,280 --> 01:13:53,439
Speaker 1: and that's our goal. Barry Wise, the op ed editor

1243
01:13:53,479 --> 01:13:57,000
Speaker 1: who wrote the skating piece yesterday, talked about the paper's

1244
01:13:57,080 --> 01:14:05,600
Speaker 1: predetermined narrative native that explicitly promotes progressive causes tolerates bigotry.

1245
01:14:05,680 --> 01:14:10,000
Speaker 1: To do so, Twitter the ultimate editor. Ethics and more

1246
01:14:10,040 --> 01:14:12,559
Speaker 1: of a platform have become those of the paper, and

1247
01:14:12,600 --> 01:14:15,920
Speaker 1: the paper itself has become a kind of performance space,

1248
01:14:16,280 --> 01:14:19,320
Speaker 1: and that they have betrayed their standards and lost sight

1249
01:14:19,400 --> 01:14:24,360
Speaker 1: of its principles. Well, i'd say that that miss Weiss

1250
01:14:24,439 --> 01:14:28,320
Speaker 1: and Jill Abramson might be called up as witnesses to

1251
01:14:28,720 --> 01:14:32,880
Speaker 1: you on your side. I'm sure they will. And that's

1252
01:14:32,920 --> 01:14:36,080
Speaker 1: exactly what we're legending to complaint what you just what

1253
01:14:36,240 --> 01:14:40,040
Speaker 1: you just said, and it's very well drafted complaint. I

1254
01:14:40,040 --> 01:14:42,400
Speaker 1: think it proves, oh, I've read it. It's a beat down.

1255
01:14:43,560 --> 01:14:46,120
Speaker 1: I think it proves they did have malicious intent. And

1256
01:14:46,160 --> 01:14:48,519
Speaker 1: so even if we don't get New York Times versus

1257
01:14:48,560 --> 01:14:52,519
Speaker 1: Sullivan turned over, overturned, and we still I think we

1258
01:14:52,600 --> 01:14:55,960
Speaker 1: still got a malicious intent. And like I said, we're

1259
01:14:56,000 --> 01:14:58,160
Speaker 1: not looking for money. We're getting the money to help

1260
01:14:58,360 --> 01:15:02,160
Speaker 1: COVID victims, and but we want we want to expose

1261
01:15:02,240 --> 01:15:05,680
Speaker 1: them for who they are and what they do. It's

1262
01:15:05,920 --> 01:15:10,919
Speaker 1: what they do to conservative Christian organizations should not be permitted.

1263
01:15:11,600 --> 01:15:14,200
Speaker 1: Jerry Folwell, President of Liberty. He'll join us on Hannity.

1264
01:15:14,240 --> 01:15:16,960
Speaker 1: Tight this is a this is has the potential of

1265
01:15:17,000 --> 01:15:20,720
Speaker 1: being a landmark case, and it needs to be. This

1266
01:15:20,840 --> 01:15:22,800
Speaker 1: is the case. Your case is better than my case,

1267
01:15:22,840 --> 01:15:24,320
Speaker 1: and I thought I had a good case. I still

1268
01:15:24,320 --> 01:15:26,559
Speaker 1: think I have a good case. Live free or die.

1269
01:15:26,600 --> 01:15:29,439
Speaker 1: And it's one hundred eleven days and every single thing

1270
01:15:29,560 --> 01:15:31,800
Speaker 1: is on the line. As promise, we're going to get

1271
01:15:31,800 --> 01:15:34,880
Speaker 1: to our busy phones Pennsylvania, Lisa, next, we'll be watching

1272
01:15:34,920 --> 01:15:37,840
Speaker 1: you very closely in Pennsylvania in one hundred and eleven days.

1273
01:15:37,880 --> 01:15:39,960
Speaker 1: What's going on? How are you? I just want to

1274
01:15:39,960 --> 01:15:42,439
Speaker 1: call about my father. My father always x off from

1275
01:15:42,479 --> 01:15:44,840
Speaker 1: Cuba back in the fifties and came here to the

1276
01:15:44,880 --> 01:15:47,799
Speaker 1: United States, definitely the communist regime of the Del Castro.

1277
01:15:48,720 --> 01:15:50,680
Speaker 1: You love this country. But he never was able to

1278
01:15:50,720 --> 01:15:53,559
Speaker 1: become an American citizen. So in the recent days, we

1279
01:15:53,640 --> 01:15:56,280
Speaker 1: receive two letters in the mail to vote a registration

1280
01:15:56,360 --> 01:15:58,960
Speaker 1: from my dad. The first one came and I opened

1281
01:15:58,960 --> 01:16:01,960
Speaker 1: it up and soil us out. The funny thing is,

1282
01:16:02,000 --> 01:16:04,599
Speaker 1: my dad has been dead for thirty nine years and

1283
01:16:04,800 --> 01:16:07,240
Speaker 1: he's not a He was never an American citizen, and

1284
01:16:07,400 --> 01:16:10,519
Speaker 1: all those years that he's been gone, I've never ever

1285
01:16:10,560 --> 01:16:14,840
Speaker 1: ever received any mailing about him voting. So but the

1286
01:16:14,920 --> 01:16:18,160
Speaker 1: second letter that I received, well actually I never received.

1287
01:16:18,160 --> 01:16:20,560
Speaker 1: I just knew that I was getting it. It's vanished.

1288
01:16:20,960 --> 01:16:23,120
Speaker 1: It never came to me, but I knew that I

1289
01:16:23,120 --> 01:16:25,679
Speaker 1: was getting it because I have this app. So someone

1290
01:16:25,760 --> 01:16:27,920
Speaker 1: must have taken it and might be filling it out

1291
01:16:28,479 --> 01:16:32,200
Speaker 1: and signing his name. Isn't that consider voter fraud? Yeah,

1292
01:16:32,240 --> 01:16:35,400
Speaker 1: that would be considered voter fraud. Yeah, after getting voter

1293
01:16:35,520 --> 01:16:39,599
Speaker 1: registration cards. Look, this is where you know, somebody attacked

1294
01:16:39,600 --> 01:16:42,760
Speaker 1: on Junior because they said, well, he talked about the

1295
01:16:42,800 --> 01:16:46,639
Speaker 1: case of people changing the registration from you know forms.

1296
01:16:47,600 --> 01:16:49,919
Speaker 1: I guess he might have said from Republican a Democrat

1297
01:16:49,960 --> 01:16:52,520
Speaker 1: and have turned out to be a Republican Democrat to Republican.

1298
01:16:53,200 --> 01:16:56,960
Speaker 1: Voter fraud is voter fraud. I don't want Republican voter fraud.

1299
01:16:57,040 --> 01:16:59,960
Speaker 1: I don't want democratic fraud. I know what I want,

1300
01:17:00,160 --> 01:17:04,200
Speaker 1: free and fair elections without by the way, dirty dossier's

1301
01:17:04,240 --> 01:17:09,320
Speaker 1: and Russian disinformation and a deep state that took sides

1302
01:17:09,360 --> 01:17:11,439
Speaker 1: like they did in twenty sixteen. I don't want any

1303
01:17:11,479 --> 01:17:16,000
Speaker 1: of that. Yes, yes, I agree. Anyway, good call Lisa, Um.

1304
01:17:16,040 --> 01:17:19,439
Speaker 1: We gotta be careful of that. Jim is in Florida. Jim, Well,

1305
01:17:19,439 --> 01:17:21,360
Speaker 1: I bet you love the fact that your state has

1306
01:17:21,400 --> 01:17:26,080
Speaker 1: been getting phony information about uh COVID nineteen and all

1307
01:17:26,080 --> 01:17:29,360
Speaker 1: these people that contracted it. When these labs, both state

1308
01:17:29,400 --> 01:17:31,880
Speaker 1: and private, have been saying, oh, we have one hundred

1309
01:17:31,880 --> 01:17:37,400
Speaker 1: percent COVID a positive rating. Yeah, none of that. I know.

1310
01:17:37,479 --> 01:17:40,080
Speaker 1: I mean, I'm sitting there thinking, Wow, now the medium

1311
01:17:40,120 --> 01:17:43,360
Speaker 1: mobs scared the crap out of any everyone they're beating up.

1312
01:17:43,400 --> 01:17:46,519
Speaker 1: Poor Ron de Santis, the one guy that took the

1313
01:17:46,600 --> 01:17:50,160
Speaker 1: one thing seriously that needed to be taken seriously from

1314
01:17:50,160 --> 01:17:52,160
Speaker 1: the get go and is still doing it. And that

1315
01:17:52,320 --> 01:17:56,880
Speaker 1: is he protected the elderly population, and he those with

1316
01:17:57,040 --> 01:18:02,320
Speaker 1: underlying conditions and those with compromised immune systems that he did.

1317
01:18:03,160 --> 01:18:05,719
Speaker 1: That is so true, Sean, that is so true, something

1318
01:18:05,760 --> 01:18:10,200
Speaker 1: that Calmo should go to jail for so terrible, terrible.

1319
01:18:10,640 --> 01:18:15,080
Speaker 1: But over the last nine years, I've lost my sight

1320
01:18:15,240 --> 01:18:17,639
Speaker 1: gradually ninety percent of my sight. I have an eye

1321
01:18:17,880 --> 01:18:21,600
Speaker 1: these hereditary I knew it was coming, And with me

1322
01:18:21,720 --> 01:18:25,440
Speaker 1: losing my sight, I've lost a lot of my freedoms

1323
01:18:25,439 --> 01:18:30,719
Speaker 1: and things that American people take for granted. So when

1324
01:18:30,800 --> 01:18:37,160
Speaker 1: the election comes, if you vote for the Left, you're

1325
01:18:37,160 --> 01:18:40,280
Speaker 1: gonna lose everything. I thought over the years that I

1326
01:18:40,360 --> 01:18:42,760
Speaker 1: was preparing myself because I knew I would get the

1327
01:18:42,800 --> 01:18:46,400
Speaker 1: side disease all right, my father had. It's just hereditary.

1328
01:18:48,040 --> 01:18:51,400
Speaker 1: I thought I prepared myself for these losses, but there

1329
01:18:51,520 --> 01:18:55,160
Speaker 1: is no preparing yourself when things are taking it away.

1330
01:18:55,680 --> 01:19:00,000
Speaker 1: Like car, I can't drive, I can't walk around by myself,

1331
01:19:00,000 --> 01:19:04,280
Speaker 1: I can't do anything by myself. I've been blessed, thank God,

1332
01:19:04,360 --> 01:19:09,160
Speaker 1: with eleven grandchild children, which I cannot see anymore. Well,

1333
01:19:09,200 --> 01:19:11,439
Speaker 1: I'm sorry, by the way. That's tough, isn't it. I mean,

1334
01:19:11,520 --> 01:19:14,800
Speaker 1: that's okay, that's that's okay. And four of them are

1335
01:19:14,800 --> 01:19:18,920
Speaker 1: getting to vote in the first This is their first

1336
01:19:18,920 --> 01:19:23,920
Speaker 1: presidential election out of my eleven grandkids. So and I

1337
01:19:24,000 --> 01:19:26,160
Speaker 1: tell them to watch you a show and make good

1338
01:19:26,200 --> 01:19:28,760
Speaker 1: decision on who you're going to vote for. But I

1339
01:19:28,800 --> 01:19:31,920
Speaker 1: just want to say, you really can't vote for the left.

1340
01:19:31,920 --> 01:19:35,879
Speaker 1: If you want to lose everything and have it taken away,

1341
01:19:36,080 --> 01:19:38,439
Speaker 1: then you got to vote for the left. And it's

1342
01:19:38,520 --> 01:19:41,680
Speaker 1: tough when things are taken away that you've that we

1343
01:19:42,040 --> 01:19:45,400
Speaker 1: all as Americans have taken for granted. You know, I

1344
01:19:45,800 --> 01:19:50,559
Speaker 1: will say this, Um, you're right about us taking things

1345
01:19:50,600 --> 01:19:53,919
Speaker 1: for granted, and everything is now hanging in the balance.

1346
01:19:54,840 --> 01:19:57,280
Speaker 1: This is not a joke. When I say live free

1347
01:19:57,360 --> 01:20:01,840
Speaker 1: or die, live free or America dies in the US

1348
01:20:01,920 --> 01:20:04,200
Speaker 1: and the world on the brink. America the world on

1349
01:20:04,240 --> 01:20:08,240
Speaker 1: the brink because what Joe Biden is now selling is

1350
01:20:08,280 --> 01:20:14,600
Speaker 1: the most radical, extreme, destructive both on every single policy

1351
01:20:14,760 --> 01:20:20,400
Speaker 1: issue he has adopted. He is the most radical, extreme candidate. Frankly,

1352
01:20:20,560 --> 01:20:23,439
Speaker 1: I don't even know if he's fully in charge of anything.

1353
01:20:23,960 --> 01:20:28,240
Speaker 1: He's co opted Bolshevik Berney's full agenda, plagiarized even the

1354
01:20:28,280 --> 01:20:34,280
Speaker 1: words in his agenda. He's adopted AOC's Green New Deal madness.

1355
01:20:35,479 --> 01:20:38,720
Speaker 1: He has now you know, dumped on the police. They

1356
01:20:38,840 --> 01:20:41,920
Speaker 1: become the enemy. And he doesn't like to use the

1357
01:20:41,960 --> 01:20:45,960
Speaker 1: word defund He'd prefer to say reoutlocate. Okay, it's the

1358
01:20:46,040 --> 01:20:48,599
Speaker 1: same thing, because you're taking money away from the police,

1359
01:20:48,640 --> 01:20:53,320
Speaker 1: you're defunding them. They need money. But I'll say this,

1360
01:20:54,160 --> 01:20:57,880
Speaker 1: you know, you know, at first, I wish you the best,

1361
01:20:58,920 --> 01:21:01,240
Speaker 1: and yeah, it really is about our kids. It comes

1362
01:21:01,240 --> 01:21:04,960
Speaker 1: to a point in life where you start thinking differently.

1363
01:21:05,040 --> 01:21:07,400
Speaker 1: And now I'm at that point in my life. My kids,

1364
01:21:07,439 --> 01:21:10,200
Speaker 1: now you know, are older. What kind of America do

1365
01:21:10,240 --> 01:21:13,400
Speaker 1: we leave them? What kind of country do we leave them?

1366
01:21:14,520 --> 01:21:18,920
Speaker 1: And the reality is I would like them to have

1367
01:21:19,560 --> 01:21:23,040
Speaker 1: a country with liberty and freedom and not false promises

1368
01:21:23,080 --> 01:21:26,599
Speaker 1: of socialism, which is you know why. In the book

1369
01:21:26,640 --> 01:21:28,840
Speaker 1: that's out in twenty days, I spend a lot of

1370
01:21:28,920 --> 01:21:33,320
Speaker 1: time talking about the rise of socialism, about the principles

1371
01:21:33,360 --> 01:21:37,120
Speaker 1: that led us to be this great country that abuses

1372
01:21:37,240 --> 01:21:40,880
Speaker 1: power less than any other country in mankind history, and

1373
01:21:41,080 --> 01:21:45,000
Speaker 1: uses the power to advance the human condition, albeit not perfect.

1374
01:21:45,040 --> 01:21:48,080
Speaker 1: We know that. But then this twenty twenty agenda, it

1375
01:21:48,200 --> 01:21:52,799
Speaker 1: is unsustainable and it's incapable of incapable of ever reaching

1376
01:21:54,200 --> 01:21:57,400
Speaker 1: the goals and the money is that they're promising. And

1377
01:21:57,439 --> 01:21:59,680
Speaker 1: I go through a whole chapter on the history of

1378
01:21:59,720 --> 01:22:03,360
Speaker 1: the failure of socialism, and you look at the team

1379
01:22:03,360 --> 01:22:08,280
Speaker 1: that Biden is now surrounding himself with, and you've got, okay,

1380
01:22:08,360 --> 01:22:12,919
Speaker 1: let's assume it's Kamala Harris's VP, you got Pelosi and Schumer,

1381
01:22:13,320 --> 01:22:15,360
Speaker 1: add Biden to it. You got one hundred and twenty

1382
01:22:15,439 --> 01:22:18,360
Speaker 1: five years of elect me and I promise this. They've

1383
01:22:18,400 --> 01:22:22,360
Speaker 1: done nothing, a record one hundred and twenty five combined

1384
01:22:22,439 --> 01:22:26,240
Speaker 1: years of failure and broken promises. Then you add AOC

1385
01:22:26,800 --> 01:22:29,600
Speaker 1: in this Green New Deal madness, because they got they

1386
01:22:29,640 --> 01:22:33,040
Speaker 1: gotta shore up their left plank. I mean, this is

1387
01:22:33,200 --> 01:22:35,880
Speaker 1: this is more evidence of really how weak Joe Biden

1388
01:22:35,920 --> 01:22:39,160
Speaker 1: really thinks his campaign is that you know, he's gonna

1389
01:22:39,160 --> 01:22:41,960
Speaker 1: play identity politics. I'm going to pick somebody from this

1390
01:22:42,200 --> 01:22:44,639
Speaker 1: race and gender to be on my ticket. Okay, I don't.

1391
01:22:45,080 --> 01:22:49,320
Speaker 1: I'm fine with whoever he wants to pick. But why

1392
01:22:49,479 --> 01:22:52,320
Speaker 1: is he going so hard left? Why is he adopting

1393
01:22:52,360 --> 01:22:55,320
Speaker 1: Bernie's views? Because he doesn't think he's gonna get Bernie's

1394
01:22:55,400 --> 01:23:00,400
Speaker 1: voters otherwise, he doesn't want to alienate AOC. Know he

1395
01:23:00,560 --> 01:23:04,040
Speaker 1: feels that. I guess based on some of his language

1396
01:23:04,080 --> 01:23:07,439
Speaker 1: and the racial jungle that he used in predator language

1397
01:23:07,439 --> 01:23:10,360
Speaker 1: that he used in his positions and integration and segregation

1398
01:23:10,400 --> 01:23:12,960
Speaker 1: over the years, and his praise of you know, former

1399
01:23:13,040 --> 01:23:16,120
Speaker 1: klansmen as his mentor, I might come back to bite

1400
01:23:16,200 --> 01:23:21,560
Speaker 1: him with African Americans and Hispanic Americans and other minorities.

1401
01:23:22,520 --> 01:23:25,760
Speaker 1: You know, Donald Trump doesn't have that baggage. He's not

1402
01:23:25,880 --> 01:23:28,559
Speaker 1: the perfect person, but he has fought and kept his

1403
01:23:28,600 --> 01:23:31,439
Speaker 1: word and his promises. And you might not like he

1404
01:23:31,520 --> 01:23:34,320
Speaker 1: fights with the media so much, or you stylistically might

1405
01:23:34,360 --> 01:23:37,200
Speaker 1: not like his fight every day. But I think he's

1406
01:23:37,280 --> 01:23:39,240
Speaker 1: right when he says that if I don't fight, I

1407
01:23:39,240 --> 01:23:42,120
Speaker 1: wouldn't be here. And I think when he's fighting against

1408
01:23:42,240 --> 01:23:45,599
Speaker 1: let's see China like he did yesterday, and he's fighting

1409
01:23:45,600 --> 01:23:50,680
Speaker 1: for better trade deals with China, Japan and Canada and Mexico,

1410
01:23:51,320 --> 01:23:55,080
Speaker 1: he got them, you know, just like he's he fought hard.

1411
01:23:55,120 --> 01:23:58,680
Speaker 1: He's fighting hard against the you know, the worst pandemic

1412
01:23:58,720 --> 01:24:02,080
Speaker 1: since nineteen seventeen eighteen, a travel band ten days after

1413
01:24:02,120 --> 01:24:05,360
Speaker 1: the first identified case. You know, he's fighting to build

1414
01:24:05,360 --> 01:24:07,719
Speaker 1: the border wall. He had. It was an uphill climb

1415
01:24:07,720 --> 01:24:12,240
Speaker 1: the whole time. So you know, my only point is,

1416
01:24:12,840 --> 01:24:16,439
Speaker 1: you know, this is it. This is about the future.

1417
01:24:17,080 --> 01:24:20,280
Speaker 1: This is in America that if these policies are implemented,

1418
01:24:20,640 --> 01:24:23,400
Speaker 1: it makes America the land of the free, home of

1419
01:24:23,400 --> 01:24:27,320
Speaker 1: the brave, unrecognizable. People give in to the false promises

1420
01:24:27,400 --> 01:24:31,960
Speaker 1: of socialism, which is a history of failure. And I

1421
01:24:31,960 --> 01:24:33,920
Speaker 1: outline it and live free or die you can get

1422
01:24:33,960 --> 01:24:38,160
Speaker 1: it in twenty days. Is it would be an unmitigated

1423
01:24:38,400 --> 01:24:43,080
Speaker 1: disaster for future generations. You know, you look at the

1424
01:24:43,120 --> 01:24:46,040
Speaker 1: assault on free speech, You look at what the media

1425
01:24:46,200 --> 01:24:49,559
Speaker 1: mob has become. Look at that scathing New York Times

1426
01:24:49,600 --> 01:24:53,920
Speaker 1: outbed yesterday. You look at the President's promises made and kept.

1427
01:24:54,439 --> 01:24:57,800
Speaker 1: That's a rarity in politics. And then you're gonna have

1428
01:24:57,880 --> 01:25:01,320
Speaker 1: to make a decision do you want Do you really

1429
01:25:01,640 --> 01:25:05,080
Speaker 1: want the high taxes that Biden is talking about. There's

1430
01:25:05,080 --> 01:25:08,720
Speaker 1: a Wall Street Journal piece today the Biden tax height

1431
01:25:08,840 --> 01:25:12,960
Speaker 1: would be severe if Democrats sweep in November. Make sure

1432
01:25:13,040 --> 01:25:17,719
Speaker 1: your lawyer and financial advisors are standing by because all

1433
01:25:17,800 --> 01:25:22,280
Speaker 1: of that will go away, and because you can't afford

1434
01:25:22,320 --> 01:25:26,040
Speaker 1: that which they are promising five trillion. He commits yesterday

1435
01:25:26,080 --> 01:25:29,439
Speaker 1: to the New Green Deal. Okay, where are we getting

1436
01:25:29,439 --> 01:25:32,280
Speaker 1: five trillion dollars to spend on the New Green Deal

1437
01:25:32,280 --> 01:25:35,519
Speaker 1: as a down payment? And the you know, the Medicare

1438
01:25:35,560 --> 01:25:39,400
Speaker 1: for all? How did Obamacare worked out? It's about secure

1439
01:25:39,520 --> 01:25:45,920
Speaker 1: borders versus the United Sanctuary States of America, amnesty, free healthcare,

1440
01:25:45,960 --> 01:25:49,120
Speaker 1: free schools, even if you enter the country illegally. It's

1441
01:25:49,160 --> 01:25:52,160
Speaker 1: about whether or not you want to be energy independent,

1442
01:25:52,680 --> 01:25:54,360
Speaker 1: or if you want to get rid of the lifeblood

1443
01:25:54,400 --> 01:25:58,200
Speaker 1: of the world's economy and crash your own economy. It's about,

1444
01:25:58,240 --> 01:26:05,120
Speaker 1: you know, redistribute or free market capitalism, American entrepreneurialism, American

1445
01:26:05,280 --> 01:26:10,439
Speaker 1: ingenuity versus governments takeover state control of everything with all

1446
01:26:10,479 --> 01:26:12,840
Speaker 1: the everything's going to be secured for you. Good luck

1447
01:26:12,880 --> 01:26:15,920
Speaker 1: with that. It won't work. And I'm going to tell

1448
01:26:15,920 --> 01:26:17,920
Speaker 1: you something. If you want to know about law and order,

1449
01:26:18,000 --> 01:26:20,479
Speaker 1: just look at these these liberal cities that have been

1450
01:26:20,560 --> 01:26:23,519
Speaker 1: run for decades by liberal Democrats. That would be called

1451
01:26:23,560 --> 01:26:27,520
Speaker 1: a preview of coming attractions if in fact the defunders

1452
01:26:27,720 --> 01:26:29,920
Speaker 1: of the police get in charge, those that believe the

1453
01:26:29,960 --> 01:26:33,920
Speaker 1: police of the enemy. You know, you want judicial activism,

1454
01:26:34,120 --> 01:26:35,960
Speaker 1: you want to stack the courts, you want to get

1455
01:26:36,040 --> 01:26:38,519
Speaker 1: rid of the electoral college, you want to turn the

1456
01:26:38,560 --> 01:26:43,000
Speaker 1: constitution on its head. Vote for Biden. Good luck. All

1457
01:26:43,040 --> 01:26:46,920
Speaker 1: I can do is sound the alarm. That's what Lived,

1458
01:26:46,960 --> 01:26:50,599
Speaker 1: Free and Die is all about. To lay out the

1459
01:26:50,680 --> 01:26:55,479
Speaker 1: case to have an informed electorate. Because I can't even

1460
01:26:55,560 --> 01:26:58,519
Speaker 1: do it in any one three hour show, any fifteen

1461
01:26:58,560 --> 01:27:01,960
Speaker 1: hour radio week, any twenty hour radio TV week. I

1462
01:27:02,000 --> 01:27:05,599
Speaker 1: can't do it. It's just too much to absorb. And

1463
01:27:05,760 --> 01:27:09,200
Speaker 1: but in the thoughtfulness and my hope is is that

1464
01:27:09,280 --> 01:27:14,719
Speaker 1: people will read and understand the stakes are that high.

1465
01:27:14,840 --> 01:27:18,040
Speaker 1: It's all on the line. There's never been a bigger

1466
01:27:18,120 --> 01:27:21,599
Speaker 1: choice election in the history of the United States. And

1467
01:27:21,640 --> 01:27:25,600
Speaker 1: I've said it before. I think I've been writing occasions,

1468
01:27:25,600 --> 01:27:30,479
Speaker 1: but it's nothing like this. It doesn't begin to compare.

1469
01:27:31,120 --> 01:27:33,719
Speaker 1: All right, let's say hi to Terry real quick, Terry,

1470
01:27:33,720 --> 01:27:37,559
Speaker 1: how are you Hi? Good? Sean? How are you? I'm good?

1471
01:27:37,560 --> 01:27:41,480
Speaker 1: What's going on? I wanted to run an idea by

1472
01:27:41,560 --> 01:27:45,000
Speaker 1: you about what I consider voter confirmation. We always received

1473
01:27:45,080 --> 01:27:47,000
Speaker 1: a whole bunch of things in the mail for saying

1474
01:27:47,320 --> 01:27:49,519
Speaker 1: where you're registered to vote, or you can receive your

1475
01:27:49,520 --> 01:27:53,080
Speaker 1: ballot in the mail. I wonder why wouldn't we want

1476
01:27:53,160 --> 01:27:55,600
Speaker 1: a voter confirmation in the mail where it would be

1477
01:27:55,640 --> 01:27:59,640
Speaker 1: mandated that once you've voted, you receive some type of

1478
01:28:00,000 --> 01:28:04,360
Speaker 1: potential mail piece that shows who you voted for. This way,

1479
01:28:04,400 --> 01:28:08,439
Speaker 1: every fake vote would have to be also confirmed. For instance,

1480
01:28:08,479 --> 01:28:11,719
Speaker 1: to decease the parent, you would receive a mail item

1481
01:28:11,760 --> 01:28:14,400
Speaker 1: at the house that shows that that person actually voted.

1482
01:28:14,439 --> 01:28:17,479
Speaker 1: Then you'd at least you'd be aware that there's fraudulent

1483
01:28:17,560 --> 01:28:20,719
Speaker 1: voting going on. If you pets are signed up to vote,

1484
01:28:20,720 --> 01:28:23,160
Speaker 1: you would receive a confirmation, and then everyone in the

1485
01:28:23,160 --> 01:28:26,000
Speaker 1: household would finally realize that things that people are voting

1486
01:28:26,000 --> 01:28:28,840
Speaker 1: and pets are voting that don't even exist. So I

1487
01:28:28,840 --> 01:28:30,479
Speaker 1: don't know, it seems so simple to me that we

1488
01:28:30,479 --> 01:28:33,160
Speaker 1: should have a voter confirmation. They can send you everything

1489
01:28:33,439 --> 01:28:37,680
Speaker 1: before the voting, why not after? You know, I think

1490
01:28:37,760 --> 01:28:40,439
Speaker 1: we could create a system where we could have the

1491
01:28:40,520 --> 01:28:43,120
Speaker 1: checks and balances that would work, But I don't see

1492
01:28:43,160 --> 01:28:45,719
Speaker 1: it for this election or probably even the next election.

1493
01:28:45,800 --> 01:28:49,280
Speaker 1: Even it is, it would have to be done perfectly.

1494
01:28:49,479 --> 01:28:51,360
Speaker 1: It would have to have all of those checks and

1495
01:28:51,400 --> 01:28:54,880
Speaker 1: balances for us to even begin to consider it. You know,

1496
01:28:55,000 --> 01:28:57,519
Speaker 1: you bring up some really good ideas, but that's not

1497
01:28:57,560 --> 01:29:00,840
Speaker 1: going to happen in one hundred and eleven days. The

1498
01:29:00,920 --> 01:29:03,040
Speaker 1: idea that they are pushing hard for this tells me

1499
01:29:03,080 --> 01:29:05,919
Speaker 1: that they're desperate, just like Biden. I think his actions

1500
01:29:05,920 --> 01:29:09,439
Speaker 1: are showing a level of desperation he's got. He is

1501
01:29:09,520 --> 01:29:12,800
Speaker 1: now working the hardest at securing his base because he

1502
01:29:12,920 --> 01:29:15,720
Speaker 1: doesn't have it. All. Right, that's gonna wrap things up

1503
01:29:15,720 --> 01:29:19,320
Speaker 1: at today, one hundred and ten days as of tomorrow,

1504
01:29:19,439 --> 01:29:22,479
Speaker 1: till you become the ultimate jury. We have an amazing

1505
01:29:22,520 --> 01:29:25,320
Speaker 1: Hannity tonight nine Eastern Pox News Channel. I hope you'll

1506
01:29:25,360 --> 01:29:28,160
Speaker 1: sell you DVR, Jerry Fallwell. This could be the case

1507
01:29:28,240 --> 01:29:32,000
Speaker 1: that brings the New York Times Inner sanctum to the

1508
01:29:32,040 --> 01:29:36,000
Speaker 1: public view. We will watch it closely. Jerry Fallwell, Junior's suit,

1509
01:29:36,040 --> 01:29:38,400
Speaker 1: we'll have the latest on that. All right, it's a

1510
01:29:38,439 --> 01:29:42,840
Speaker 1: new election. Well, the police now become the enemy, defund

1511
01:29:42,880 --> 01:29:48,920
Speaker 1: the police, adopting Bernie's agenda, AOC's agenda along with Pelosi

1512
01:29:49,280 --> 01:29:52,640
Speaker 1: and of course Schumer. Does Biden need to shore up

1513
01:29:52,720 --> 01:29:56,040
Speaker 1: his basse. We'll go over that with Carl Rove, the polls,

1514
01:29:56,080 --> 01:29:59,600
Speaker 1: the latest Dads, Matt Gates Day, Ruben, Leo Terrell, and

1515
01:29:59,720 --> 01:30:02,920
Speaker 1: much much more, all coming up Ninetiestern Hannity on the

1516
01:30:02,960 --> 01:30:05,800
Speaker 1: Fox News Channel. We'll see you tonight at nine. Back

1517
01:30:05,800 --> 01:30:08,120
Speaker 1: here tomorrow, as always, thank you for being with us.