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Speaker 1: All right, glad you with us right down our toll

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Speaker 1: free telephone number, it's say one hundred and nine four

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Speaker 1: one Sean. You want to be a part of this extravaganza.

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Speaker 1: We got Bill O'Reilly today all things simple man. We

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Speaker 1: have also let's see James O'Keefe. Yeah, you see, like

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Speaker 1: staging fake news now and he's got a taking. They're

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Speaker 1: taking hospital workers out of hospital so that they can

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Speaker 1: be in line so they have a better picture for television.

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Speaker 1: They're orchestrating news, fake news. Doctor Roz today, how to

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Speaker 1: reopen safely? You know, I'm trying to stand back and

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Speaker 1: make sense of things that will never make sense. It's impossible.

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Speaker 1: It's sort of like we're at a tipping point and

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Speaker 1: truth and facts don't matter for those that are most

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Speaker 1: let's say, married to a political ideology or philosophy. And

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Speaker 1: it's almost like one hundred percent it's like a group

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Speaker 1: think psychosis with the mob, the media and all things

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Speaker 1: radical Democratic Socialist Party. And I'll give you a few

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Speaker 1: quick examples here. There is absolutely positively nothing that the

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Speaker 1: mob in the media, almost all of them, I mean,

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Speaker 1: let's be frank here, or the Democrats will ever say

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Speaker 1: that Donald Trump did that, is that that was a

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Speaker 1: good idea, that was a good decision. Nothing, He'll get

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Speaker 1: credit for nothing. It has been and continues to be

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Speaker 1: what is a never ending cycle of twenty four seven

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Speaker 1: bludgeoning and bludgeoning and bludgeoning and beating and bludgeoning some more.

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Speaker 1: There's not one thing that they could ever say that

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Speaker 1: he did well, you know. And then on the other

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Speaker 1: side of this, look at New York, Michigan and the

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Speaker 1: way they've handled for example, Corona, especially in New York.

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Speaker 1: I mean, they did every single solitary thing possible that

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Speaker 1: was wrong. They prepared for nothing, they listened to They

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Speaker 1: didn't listen to their own task force that were telling

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Speaker 1: them that these things would happen and you need to

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Speaker 1: prepare for them. They did nothing. Then up until early March,

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Speaker 1: March second through fifth, here are my recommendations. Go out

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Speaker 1: on the town. Comrade de Blasio was saying, and and

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Speaker 1: Cuomo saying that, you know, we're not like when New

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Speaker 1: York isn't, I can say there's arrogantly, but when not

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Speaker 1: like those all the countries and the risk is low

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Speaker 1: and blah blah blah. I mean they got it wrong.

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Speaker 1: And by the ventilators. They didn't prepare. How does New

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Speaker 1: York not prepare for a pandemic or a terror attack

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Speaker 1: or an emergency considering the odds are likely predictably, it

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Speaker 1: would happened like the Health Task Force recommending the ventilators.

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Speaker 1: You know, it's it is frustrating, but it doesn't matter

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Speaker 1: if because up is down, down is up. You know,

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Speaker 1: black as white, white as black. There's no truth that

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Speaker 1: anybody is adhering to. It's all based on an agenda.

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Speaker 1: It's all based on I think that this justification. There's

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Speaker 1: got to be some psychology to all of this. A

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Speaker 1: group thinks psychosis, if you will, because it's pretty much

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Speaker 1: all of them and the mob, and I think they

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Speaker 1: might have even convinced themselves that they're right. And it

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Speaker 1: goes through the Russia Russia, and the Ukraine Ukraine and

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Speaker 1: the Stormy Stormy, and it goes on and on. I mean, okay,

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Speaker 1: was the travel man a good decision in retrospect? I

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Speaker 1: think it. I think it's it's just undeniable. It is

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Speaker 1: a truth. An incalculable number of lives were saved by

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Speaker 1: the President doing that and being criticized that at the

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Speaker 1: time for it or the President's medical mobilization, because New

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Speaker 1: York had prepared for nothing, building hospitals in a week,

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Speaker 1: three thousand beds, converting them into COVID setting the Navy

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Speaker 1: hospital ship, the comfort providing every ventilator that was ever needed,

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Speaker 1: and then some and all the gowns, mass shields and

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Speaker 1: gloves that they should have had and didn't have, and respirators.

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Speaker 1: He gets credit for nothing. You know. Meanwhile, New York

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Speaker 1: does everything wrong and to the mob and the media,

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Speaker 1: you know, he literally they literally in New York they

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Speaker 1: send the virus, people with the virus right into nursing

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Speaker 1: homes and elderly care facilities. By law, they had to

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Speaker 1: take them. Now you're ignoring the hospital beds that were

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Speaker 1: built and manned by Donald Trump to do that. You think, no,

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Speaker 1: he's a hero Cuomo. The blasia I think they're pulling

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Speaker 1: is like in the high seventies. It's like, wow, It's

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Speaker 1: it's breathtaking to me. Any lives that were saved in

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Speaker 1: New York were saved by Donald Trump, not anybody in

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Speaker 1: New York media and New York politics, and the media

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Speaker 1: just goes along with all this because they just hate

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Speaker 1: Donald Trump. In other words. I've never seen a divide

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Speaker 1: this bad. I just never have. And every single step

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Speaker 1: of the way you see this this rigid, fanatical, insane,

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Speaker 1: even psychosis rage. It's it's like it's mania for them.

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Speaker 1: Travel bands. You No, we can't say that's a good thing. Quarantines,

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Speaker 1: we can't say that's a good thing. Subsequent travel bands,

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Speaker 1: and that's not a good thing. Getting all the ventilators

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Speaker 1: that everybody in the country needed, a medical mobilization. You

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Speaker 1: don't hear one good thing from anybody building the hospital beds,

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Speaker 1: manning the hospital beds, distributing money to displaced workers and

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Speaker 1: small businesses in record time, and even some big businesses. Nope,

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Speaker 1: you get bludgeon every second, every minute, every hour of

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Speaker 1: every twenty four hour day. This is now. These are

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Speaker 1: our friends and neighbors. This this is how divided this

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Speaker 1: country is. It's not good on any level. You know,

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Speaker 1: the President saying yesterday, you know it's like that everything

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Speaker 1: that these democrats and the mob and the media are doing,

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Speaker 1: it's everything is destructive to the country. They are not

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Speaker 1: helpful in any way. They are there. They are now

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Speaker 1: a destructive force in in literally putting a wedge between

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Speaker 1: this country they're doing. There's no constructive anything from them.

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Speaker 1: They you know, they're all sitting there in the in

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Speaker 1: their gated communities and eating expensive ice cream. And I

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Speaker 1: need trillions, I need trillion, I need truck. Give me this.

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Speaker 1: You suck. No matter what Trump did, he doesn't get

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Speaker 1: credit from anything that was a good job there, we

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Speaker 1: worked together. You get very little of that. You got

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Speaker 1: it from some of the state governors, Democratic state governors

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Speaker 1: only because they needed everything, they were desperate. But then

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Speaker 1: it goes away and their memories are short, extremely short.

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Speaker 1: You know what they're actually doing in New York. Now,

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Speaker 1: by the way, this is a great way to say

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Speaker 1: thank you to all the hospital workers health workers that

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Speaker 1: came and volunteered and came to New York to help

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Speaker 1: during this pandemic. Yeah, they have to pay New York

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Speaker 1: state income tax. The governors had about it, well, we're

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Speaker 1: not in a position to provide any subsidies. So come

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Speaker 1: risk your life, help save the lives of New Yorkers.

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Speaker 1: And by the way, thank you very much, and pay

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Speaker 1: your tax bill on the way home. That's pretty much.

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Speaker 1: That's a nice way to thank people. But that's exactly

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Speaker 1: what New York is doing. I couldn't believe it. You

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Speaker 1: got du Blasio. I mean, it's breathtaking to me. He

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Speaker 1: did nothing. He's telling people, March second, go out on

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Speaker 1: the town. Everything's safe, everything's fine. Here are my recommendations

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Speaker 1: March second through March fifth. What a dope. He doesn't

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Speaker 1: even know where the five hundred ventilators that they had were.

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Speaker 1: They auctioned him off to god knows who they had

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Speaker 1: recommended nearly New York City, needing nearly ten thousand. He'd

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Speaker 1: prepared for nothing. And this is, you know, pandemic central

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Speaker 1: off This ever a pandemic, it's going to be in

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Speaker 1: New York. He didn't do a thing. Now he's calling

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Speaker 1: the president who built his hospital, sent all the medical equipment,

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Speaker 1: manned his hospitals. Now he's calling him a backstabber and

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Speaker 1: a hypocrite. Wow, and saying you're saying to New York

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Speaker 1: drop dead, accusing the president of not having a heart

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Speaker 1: or a soul. I'm like, well, he saved your backside,

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Speaker 1: mister mayor, because you aren't prepared for anything. As late

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Speaker 1: as March tenth, you were telling people the risk is low.

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Speaker 1: You had no clue what you were doing, missing in action,

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Speaker 1: going for walks and parks and breaking your own rules

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Speaker 1: and going after you know, people at a rabbi's funeral

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Speaker 1: for crying out loud, and then he blows you ahead.

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Speaker 1: I'll give him another chance to show that he's that

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Speaker 1: there's a beating heart there. What we're going to judge now,

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Speaker 1: the love of New York with Donald Trump, what to

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Speaker 1: bail out your big budget deficits and you're unfunded whatever's No,

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Speaker 1: that's not going to happen. The country's not going to

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Speaker 1: do it, and nor should they do it, because that's

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Speaker 1: what they want now. And let me be clear, the

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Speaker 1: federal government cannot must not bail out any of these

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Speaker 1: big blue states. Now what do I mean by that?

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Speaker 1: Their unfunded pensions, that's their problem. Their budget deficits, that's

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Speaker 1: their problem. Also, their debt, that's their problem. You know,

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Speaker 1: you got Gavin Newsom. He wants to give seventy five

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Speaker 1: million dollars tax dollars directly to illegal immigrants. You know,

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Speaker 1: the cost of New York and California just for illegal immigrants,

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Speaker 1: hundreds and hundreds and hundreds of millions of dollars. That's

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Speaker 1: their choice to pay that, But that also takes away

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Speaker 1: moneys that would otherwise be available rainy day funds. I

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Speaker 1: think we used to call them, they don't have the money.

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Speaker 1: New York weighs seven hundred and fifty million dollars on

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Speaker 1: a solar panel factory, and Upstate New York that they

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Speaker 1: have to montball. Why is government in New York ever

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Speaker 1: spending money like that six hundred million on a micro

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Speaker 1: chip company. They went monthball too. Why are they spending

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Speaker 1: money there? They could have bought medical equipment. Another ninety

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Speaker 1: million on a light bulb factory deal with a California company.

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Speaker 1: That's not what government's supposed to be involved in. But

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Speaker 1: again it's rooted in this insane New Green deal madness. Now,

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Speaker 1: if it's COVID nineteen related, okay, then if it's about

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Speaker 1: displaced workers small businesses, well that's what the rest of

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Speaker 1: the country's getting, and they'll get it. But I am

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Speaker 1: telling you that there's something deep, there's a deep psychology

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Speaker 1: behind all of this, and it's a little frightening when

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Speaker 1: you really stare it down, because you have to believe

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Speaker 1: that Donald Trump does nothing right. You have to believe

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Speaker 1: that throw you know, and they can do nothing wrong,

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Speaker 1: even putting COVID nineteen positive patients and nursing homes, which

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Speaker 1: is where like thirty percent of the deaths ended up happening.

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Speaker 1: Because they were screaming, we are not prepared to have

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Speaker 1: it and leave the beds that were manned and built

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Speaker 1: by Donald Trump and nineteen converted, leave them by had

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Speaker 1: they had three thousand and they didn't use them. And

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Speaker 1: you know, you add to that every single thing, like,

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Speaker 1: for example, Oh, they're all I believers, but not if

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Speaker 1: the charges against let's see Joe Biden. Only if it's

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Speaker 1: against the conservative or a Republican that's madness, that's hypocrisy.

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Speaker 1: They care about quid pro quos and they impeach the

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Speaker 1: president over it, but they ignored Joe. You're not getting

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Speaker 1: a billion taxpayer dollars unless you fire the prosecutor investigating

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Speaker 1: my zero experienced sun being made millions of them be

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Speaker 1: they did it. Oh, there's nothing there, there's nothing inappropriate there. Huh,

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Speaker 1: that's not what you're saying about Donald Trump. Just like

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Speaker 1: you know Russia. Russia. None of the mob in the media, nobody,

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Speaker 1: none of the Democrats were complaining about what we now

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Speaker 1: know Russian disinformation bought and paid for by Hillary Clinton.

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Speaker 1: I don't hear them complaining about premeditated fraud against the

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Speaker 1: FISA court. I don't hear them complaining about not having

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Speaker 1: an impartial jury in the stonecase. I don't hear them

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Speaker 1: complaining about the pre dawn raids for Manaphort and Stone

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Speaker 1: for processed crimes with CNN cameras at the Stone arrest.

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Speaker 1: I don't hear them complaining about exculpatory evidence withheld and

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Speaker 1: constitutional rights of General Flynn denied. I don't hear them

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Speaker 1: complaining about what happened to Papadopoulos and his family. I

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Speaker 1: don't hear them complaining about any of this. I don't

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Speaker 1: they don't complain about let's see an email server subpoened,

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Speaker 1: emails deleted, acid washed with bleach bit, and devices busted.

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Speaker 1: There there's a double standard. And this is now what

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Speaker 1: I'm saying. This is a group think psychosis. Let me

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Speaker 1: tell you what it's rooted in. They will say they

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Speaker 1: will do anything to get power back. They lie. It's

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Speaker 1: it's a breathtaking group think, never ending lie. Machine truth

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Speaker 1: is not in their vocabulary anymore. Media is dead. Truth

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Speaker 1: for them is dead. They think the ends justifies the means.

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Speaker 1: The ends being destroying Donald Trump taken over the country,

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Speaker 1: ignoring deep state abuse of power, corruption and believing lies.

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Speaker 1: Scary when you really think about it. Looking at a

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Speaker 1: New York Post story, Yeah, the Blasio and well they

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Speaker 1: could say that his wife is the mayor, have wasted

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Speaker 1: one point eight billion dollars a tax paramount. If there's

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Speaker 1: no end to this, how much they waste. Now we're

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Speaker 1: going to charge first responders. Health workers have volunteered to

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Speaker 1: help New York and it's time and need. Yeah, pay

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Speaker 1: your state income tax as you leave. Now you've got

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Speaker 1: things that are really going off the rails here. Now,

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Speaker 1: we went into a lot of detail yesterday about the

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Speaker 1: draconian measures in Michigan by the governor, who also a

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Speaker 1: spectacular epic fail in that state. The governor that did

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Speaker 1: the best was Ron de Santis. But anyway, you know,

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Speaker 1: now you're looking at what happened in Dallas. We'll get

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Speaker 1: into this after the news at the bottom of the hour.

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Speaker 1: You got a Dallas hair salon owner held in contempt.

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Speaker 1: By the way, she's just been released than God, and

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Speaker 1: the judge demands an apology. You either apologize to the

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Speaker 1: elected officials who you disrespected by flavorantly ignoring and in

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Speaker 1: one case, defiling. I mean, it's so stupid orders and

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Speaker 1: she said, no, feeding my kids is not selfish. It's

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Speaker 1: We're gonna put her in jail for that. Texas Attorney

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Speaker 1: General call for the immediate release of this poor woman.

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Speaker 1: It's ridiculous, um. And there are people that it doesn't

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Speaker 1: matter what we've learned, how we can open safely. They

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Speaker 1: resist everything. Nothing is gonna be perfect, no one, no

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Speaker 1: one's perfect, but you gotta try. We can't afford this.

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Speaker 1: The top of the hour, eight hundred and ninety four one, Sean,

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Speaker 1: if you want to be a part of this extra ravagance,

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Speaker 1: I want to remind you Mother's Day is on Sunday.

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Speaker 1: We have very limited numbers that we have allocated my

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Speaker 1: new book for when it comes out launch week bound

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Speaker 1: first edition commemorative box set. I gave one to Linda's mom.

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Speaker 1: Did you give it to her? On by the way,

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Speaker 1: And we got a beautiful gift certificate right, So it

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Speaker 1: comes August fourth and everybody will get their copy on

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Speaker 1: the fourth. But you know, I think I think the

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Speaker 1: cool thing about this, this commemorative box set is that

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Speaker 1: you know you can't get it when if you're just

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Speaker 1: buying the book, you know, this is a special collection

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Speaker 1: that we're putting together. But especially in a time like this,

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Speaker 1: see I mean, you know we're talking about our civil

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Speaker 1: liberties and our freedoms and oh yeah, you know, that's

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Speaker 1: what's at stake. I mean, that's what's at stake. And

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Speaker 1: I don't even know if people like you know, you're

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Speaker 1: thinking about post COVID, what we're going to do next,

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Speaker 1: how we're going to get back to normal and listen,

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Speaker 1: you know, I mean, everybody's asking the questions, but I

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Speaker 1: think your book really has answers to some of these bigger,

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Speaker 1: you know, thoughts about like, Okay, where are freedoms coming from?

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Speaker 1: What are they based on? I mean, I'm hoping that

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Speaker 1: you have to go through a whole history of this.

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Speaker 1: Look it is, this is now the tipping point. I mean,

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Speaker 1: and I don't know, there's no joke here. Everything is

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Speaker 1: at stake in the minds of these people on the left.

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Speaker 1: There's nothing Trump can do that's right. And if you

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Speaker 1: watch like these big blue states and why they're so bankrupt.

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Speaker 1: I mean, Comrade de Blasio, do you want do you

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Speaker 1: realize this morning he came out supporting this idiotic idea

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Speaker 1: of sending COVID nineteen patients back to nursing home. Still

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Speaker 1: I mean, and Governor Pataki is like, what are you doing?

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Speaker 1: Reversed the order? The order has not been reversed. This

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Speaker 1: is madness. All the money on you know that they

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Speaker 1: spend in New York, Oh, on solar factory panel factories

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Speaker 1: that goes belly up like Celindra or six micro chip companies,

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Speaker 1: and ninety million on six hundred million there, ninety million

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Speaker 1: on light bulb they all the waste. Then their demand

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Speaker 1: give me more money. I'm like what. And then if

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Speaker 1: you came to help New York day of your charge?

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Speaker 1: What does that mean? In the broader sense, you have

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Speaker 1: two competing visions for this country. All of it is

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Speaker 1: on the line in one hundred and eighty one days,

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Speaker 1: and it's either gonna be on foreign policy appeasement and

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Speaker 1: you know, massive amounts of money to people that chant

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Speaker 1: death to America. But on the economic front, capitalism will

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Speaker 1: be destroyed. This is now the mainstream of this radical

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Speaker 1: new Democratic Socialist Party. Biden buys in all of it.

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Speaker 1: And I'm laying out what that will mean for this country.

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Speaker 1: You know, right, now I would tell people, you can't

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Speaker 1: fix New York at this point. It is if you

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Speaker 1: if you don't want to pay all of this money

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Speaker 1: for this colossal screw up. My advice is if you

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Speaker 1: can move, and it's people already doing it. They're leaving

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Speaker 1: these states. But anyway, we lay it out live free

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Speaker 1: or die America in the world on the brink. That

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Speaker 1: is not hyperbole. It is how I feel, and I

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Speaker 1: wanted to lay out the definitive case. Anyway, We put

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Speaker 1: it up on Hannity dot com Commemorative box set, first edition,

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Speaker 1: guaranteed bound set for mom, and you get a beautiful

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Speaker 1: gift card and you can even get it on Sunday

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Speaker 1: if you didn't think of your right That's what I

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Speaker 1: was gonna say. You can print it out at home.

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Speaker 1: You don't have to go anywhere. You can follow all

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Speaker 1: your social distancing rules and regulations and still be able

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Speaker 1: to give your mom something really nice. I am still

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Speaker 1: finishing it because I'm trying to keep it as up

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Speaker 1: to date as possible, and I'm adding more and more

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Speaker 1: and more pages and they're like, uh, you're over three

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Speaker 1: hundred pages now over three Yeah, I know, and uh,

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Speaker 1: well it's there's a lot together, but it's too important, Sean,

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Speaker 1: and I really you know, listen, boss, you did a

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Speaker 1: good job. Well you've been one of the few people

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Speaker 1: that have actually had a glimpse at it. So anyway,

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Speaker 1: I hope you'll they'll think of that for Mom for

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Speaker 1: Sunday and tell her you love her, and tell them

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Speaker 1: tell your moms I love them. Um. I'm watching now

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Speaker 1: this this battle among and this is the divide among

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Speaker 1: states here because a lot of states want to open

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Speaker 1: and they are in the process of this whole COVID nineteen.

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Speaker 1: What did we learn? We learned that the worst states,

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Speaker 1: that New York was the worst. They should have been

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Speaker 1: the most prepared. They were the least prepared. They got

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Speaker 1: the most help, and now they're demanding the most post

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Speaker 1: COVID nineteen, not that we're finished with it, but moneys

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Speaker 1: to pay for all of their their reckless spending, unfunded pensions,

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Speaker 1: their debt, their deficits, etc. They're gonna want the taxpayers

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Speaker 1: to bail them out. Now, if you look at red

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Speaker 1: states Tennessee, Kentucky, Alabama, Florida, North Carolina, South Carolina, you know, Arizona, Texas, Oklahoma,

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Speaker 1: they all balance their budgets. They all balanced their budgets,

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Speaker 1: and they fund their pensions, and they don't tax anywhere

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Speaker 1: near states like California, New York, Illinois, and New Jersey

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Speaker 1: tax and then it raises the question, well, what do

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Speaker 1: you do with all of this money? Well, again, they

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Speaker 1: spend hundreds and hundreds of millions of dollars on idiotic

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Speaker 1: green deal madness. So it's sort of like, you know,

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Speaker 1: like California. Okay, they want to give what seventy five

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Speaker 1: million dollars to illegal immigrants in checks, the cost of

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Speaker 1: illegal immigration for the state of California, hundreds and hundreds

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Speaker 1: of millions of dollars, sanctuary state, sanctuary cities, thirteen and

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Speaker 1: a half percent state income tax. That's all likely to

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Speaker 1: even go higher. At this point. Now we're trying to

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Speaker 1: have a discussion what state did the best? What can

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Speaker 1: we learn that would be Florida. What did Florida do?

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Speaker 1: Florida targeted specifically the elderly population, at those most vulnerable,

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Speaker 1: those with underlying health issues, those with pre existing conditions

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Speaker 1: of some kind or another, and those with compromised immune systems.

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Speaker 1: They went in there, and they went in hard. They

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Speaker 1: went in hard to protect and when I show these

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Speaker 1: graphs on TV, it is a dramatic difference from New

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Speaker 1: York and New Jersey and Connecticut and Michigan and Illinois.

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Speaker 1: Dramatic differences. Although to the creditor, Gavin Newsom, he did

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Speaker 1: a pretty good job. I don't agree with everything he did,

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Speaker 1: but he did a better job. He did a better

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Speaker 1: job of protecting his state. Now what did they do

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Speaker 1: down in Florida? They didn't get these draconian measures in place.

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Speaker 1: I mean in Michigan the numbers are atrocious. And that's

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Speaker 1: in spite of this idiot governor there, Whitmer. Okay, why

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Speaker 1: are you banning jet skis? If somebody's on a jet

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Speaker 1: ski by themselves, I would say that's probably pretty safe.

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Speaker 1: Or motor boats, Okay, maybe you're there with a spouse,

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Speaker 1: a girlfriend. Maybe I have a mask on on top

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Speaker 1: of it. You know these you know, you just shut

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Speaker 1: down everything. People got to make a living. They want

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Speaker 1: to get they want to get back to work. You know,

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Speaker 1: we can't even camp at a campground. Every retailer is

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Speaker 1: closing their plans. Lawyers, they usually have big offices. They

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Speaker 1: go in, they put their mask on. Well, if the

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Speaker 1: guy's stock in the shelves at every grocery store in

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Speaker 1: New York are there every week and they're not getting sick.

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Speaker 1: We can learn from that experience as well, because that

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Speaker 1: means it's working. Or the truckers that are out there,

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Speaker 1: they're still in contact with a lot of people. You

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Speaker 1: wear your mask, you do your social distancing thing. It's

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Speaker 1: only going to be temporary, but we've learned from these

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Speaker 1: other plays protect those that are most vulnerable. Now that

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Speaker 1: responsibility will lie on all of us. To the extent

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Speaker 1: that you might have contact with people that are older,

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Speaker 1: you've got to consider them even over yourself. Because of

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Speaker 1: your young and healthy, no underlying conditions, your immune system strong,

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Speaker 1: the odds are with you. You're going to be fine.

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Speaker 1: Not in every case, most cases. That's what we learned here.

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Speaker 1: So you got to learn and apply the things that

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Speaker 1: worked and then look at the things that didn't work.

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Speaker 1: And when you do that, I mean, why would you

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Speaker 1: say you can't cut your lawn? How stupid is that?

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Speaker 1: And that's why everybody's getting angry and angrier as we go. Now.

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Speaker 1: I cannot believe that. You know over there at MSDNC

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Speaker 1: there they have people saying these freedom obsessed Americans blind

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Speaker 1: to threats like coronavirus. Nobody's blind to the threat of coronavirus.

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Speaker 1: We all understand the dangers here, and the American people

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Speaker 1: have sat back, They've watched, They've made their own conclusions.

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Speaker 1: They're using their their own level of you know what

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Speaker 1: is for them, individual league or individuals, an acceptable level

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Speaker 1: of risk. And most people feel walking on a beach

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Speaker 1: socially distant is not that big a risk. And it

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Speaker 1: worked out in Florida. Again. I feel so sorry for

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Speaker 1: this poor woman down in Dallas, a salon owner, and

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Speaker 1: she was hauled into court she opened up her business.

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Speaker 1: The judge in this case demanding that she owes elected

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Speaker 1: officials and apost ology for disrespecting and flagrantly ignoring the politicians.

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Speaker 1: Listen to this judge. Society cannot function where one's own

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Speaker 1: belief in a concept of liberty permits you to flaunt

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Speaker 1: your disdain for the rulings of duly elected officials. That

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Speaker 1: you owe an apology to the elected officials whom you disrespect,

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Speaker 1: disrespected by flagrantly ignoring and in one case, defiling their

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Speaker 1: orders which you now know obviously applied to you. That

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Speaker 1: you understand that the proper way in which in an

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Speaker 1: ordered society to engage concerns which you may have had

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Speaker 1: is to hire a lawyer and advocate for change, an

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00:25:43,920 --> 00:25:47,440
Speaker 1: exception or an amendment to laws that you find offensive.

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Speaker 1: That you publicly state that this is the way that

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Speaker 1: citizens in the States should behave, and that you represent

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Speaker 1: to this court that you will today cease operation of

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Speaker 1: your salam and not reopen until after further orders of

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Speaker 1: the Ardnament permit you to do so. This Court will

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Speaker 1: consider the payment of a fine in lieu of the

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Speaker 1: incarceration which you've demonstrated that you have so clearly earned.

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Speaker 1: Is there anything that you would like to say, Judge.

424
00:26:16,200 --> 00:26:18,040
Speaker 1: I would like to say that I have much respect

425
00:26:18,040 --> 00:26:20,879
Speaker 1: for this court and loss, and that I've never been

426
00:26:21,359 --> 00:26:24,199
Speaker 1: in this position before and it's not someplace that I

427
00:26:24,240 --> 00:26:27,760
Speaker 1: want to be. But I have to disagree with you, sir,

428
00:26:27,880 --> 00:26:31,960
Speaker 1: when you say that I'm selfish, because feeding my kids

429
00:26:32,520 --> 00:26:35,840
Speaker 1: is not selfish. I have hair stylists that are going

430
00:26:35,960 --> 00:26:40,320
Speaker 1: hungry because they'd rather feed their kids. So, sir, if

431
00:26:40,359 --> 00:26:42,960
Speaker 1: you think the law is more important than kids getting fed,

432
00:26:43,160 --> 00:26:45,320
Speaker 1: then please go ahead with your decision. But I am

433
00:26:45,320 --> 00:26:49,119
Speaker 1: not going to shut the salon. They put this lady

434
00:26:49,400 --> 00:26:53,200
Speaker 1: in jail. Now nobody has to go to our salon. Look,

435
00:26:53,240 --> 00:26:57,359
Speaker 1: I was a little skeptical of Georgia. Governor kemp I concede.

436
00:26:57,359 --> 00:27:00,640
Speaker 1: I was impressed with how they're opening nails lines down

437
00:27:00,680 --> 00:27:03,800
Speaker 1: in Georgia with the plexiglass. Everybody has a mask on

438
00:27:04,240 --> 00:27:07,880
Speaker 1: and you put your hands under the plexiglass, and the

439
00:27:07,880 --> 00:27:12,040
Speaker 1: person that's doing the manicure thing has gloves on. I

440
00:27:12,160 --> 00:27:14,760
Speaker 1: was impressed. And we're gonna learn what works and what

441
00:27:14,880 --> 00:27:17,840
Speaker 1: doesn't work. Is now, nothing's gonna be perfect, but we

442
00:27:17,920 --> 00:27:21,320
Speaker 1: have learned a lot here. If those guys didn't stock

443
00:27:21,359 --> 00:27:23,840
Speaker 1: the shelves that I see every week and talk to

444
00:27:23,960 --> 00:27:27,520
Speaker 1: every week, New York would have starved. If they would

445
00:27:27,520 --> 00:27:30,960
Speaker 1: have shut down the manufacturing of medical equipment, New York

446
00:27:31,040 --> 00:27:36,160
Speaker 1: hospitals were dead. I mean, let's be real here. Everybody

447
00:27:36,200 --> 00:27:39,359
Speaker 1: wants everything, everything to be filled. That means some people

448
00:27:39,480 --> 00:27:42,720
Speaker 1: don't shut down, and they were able to do it successfully.

449
00:27:43,160 --> 00:27:46,399
Speaker 1: A couple of hiccups. We made mistakes. We had breakouts

450
00:27:46,400 --> 00:27:49,320
Speaker 1: at some of the meat packing plants, and now they're

451
00:27:49,359 --> 00:27:52,679
Speaker 1: making the changes there as well to keep people safe

452
00:27:52,880 --> 00:27:56,360
Speaker 1: but also keep the food supply up. And open. I mean,

453
00:27:56,400 --> 00:28:03,879
Speaker 1: it's unbelievable. There's this resistance to doing anything. It's like

454
00:28:03,920 --> 00:28:07,040
Speaker 1: there's nothing Donald Trump or anybody can do that is

455
00:28:07,240 --> 00:28:13,040
Speaker 1: going to ever satisfy those that want him and the

456
00:28:13,119 --> 00:28:16,880
Speaker 1: country in the meantime to fail. We can't fail. It's

457
00:28:16,920 --> 00:28:21,920
Speaker 1: not an option to fail. We're smart enough, We're innovative enough.

458
00:28:22,320 --> 00:28:26,560
Speaker 1: People are I'm seeing stuff that's blowing me away, innovative

459
00:28:26,720 --> 00:28:32,080
Speaker 1: ideas to open up restaurants with big plexiglass, more social distancing,

460
00:28:32,680 --> 00:28:35,639
Speaker 1: wearing masks except for the time that you're eating, and

461
00:28:35,840 --> 00:28:39,440
Speaker 1: open it up the restaurant. And on top of that,

462
00:28:39,520 --> 00:28:41,920
Speaker 1: we expect sixty ninety days, we're gonna have testing like

463
00:28:42,000 --> 00:28:44,840
Speaker 1: we've never had before. And by the way, there's a

464
00:28:44,920 --> 00:28:48,160
Speaker 1: study out COVID nineteen. Lockdown is risking one point four

465
00:28:48,200 --> 00:28:53,760
Speaker 1: million extra TB deaths as part of this. The modeling

466
00:28:53,960 --> 00:28:58,120
Speaker 1: was wrong. That hurt everybody. China lie, that hurt everybody.

467
00:28:58,240 --> 00:29:00,600
Speaker 1: And you know, I'm watching people in the middle of

468
00:29:00,640 --> 00:29:05,160
Speaker 1: a pandemic politicize everything, accusing the president of his response

469
00:29:05,240 --> 00:29:07,680
Speaker 1: to what do you mean? His response? None of you

470
00:29:07,800 --> 00:29:12,120
Speaker 1: liberals would have supported the travel ban or subsequent travel

471
00:29:12,160 --> 00:29:15,840
Speaker 1: bands or the quarantines, and then you see the political agenda.

472
00:29:15,880 --> 00:29:18,000
Speaker 1: They've all been talking about it. Biden talked about it,

473
00:29:18,040 --> 00:29:20,360
Speaker 1: Pelosi talked about it. Never let the crisis go to

474
00:29:20,440 --> 00:29:23,600
Speaker 1: waste sort of thing. And they got this group People's

475
00:29:23,720 --> 00:29:27,280
Speaker 1: bail out, you know, a community organizing group. What are

476
00:29:27,280 --> 00:29:30,600
Speaker 1: their principles? Oh, their wish list is, oh, let's see

477
00:29:30,680 --> 00:29:34,520
Speaker 1: government healthcare for illegal immigrants, for required fifteen bucks an

478
00:29:34,560 --> 00:29:39,959
Speaker 1: hour minimum wage, enhanced union collective bargaining, government regulation of

479
00:29:40,000 --> 00:29:43,440
Speaker 1: the board of directors of private companies. This is full

480
00:29:43,480 --> 00:29:48,200
Speaker 1: on socialism. Direct sizable cash payments to every American, wind

481
00:29:48,240 --> 00:29:53,240
Speaker 1: and solar power, everything, all green, clean and affordable, public transit, built,

482
00:29:53,320 --> 00:29:56,200
Speaker 1: manufacture more clean energy goods. In other words, get rid

483
00:29:56,240 --> 00:29:58,640
Speaker 1: of oil and gas, the lifeblood of the world's economy.

484
00:29:59,000 --> 00:30:03,280
Speaker 1: They're pushing that, Congresswoman Omar, we must have universal basic income.

485
00:30:03,800 --> 00:30:07,720
Speaker 1: They're not doing anything to help open the country and

486
00:30:07,760 --> 00:30:11,640
Speaker 1: open it safely and let Americans feed their own families

487
00:30:11,680 --> 00:30:15,520
Speaker 1: and pursue their own interest in life. And some will

488
00:30:15,560 --> 00:30:19,120
Speaker 1: take on maybe more risk than others, to the extent

489
00:30:19,200 --> 00:30:23,240
Speaker 1: they're comfortable doing it. We are a free society. I'm

490
00:30:23,280 --> 00:30:26,160
Speaker 1: telling all of you this is the real deal. I

491
00:30:26,200 --> 00:30:28,960
Speaker 1: am suggesting for the sake of others that if we

492
00:30:29,040 --> 00:30:32,680
Speaker 1: are opening up, pay attention to the distancing, wear your

493
00:30:32,760 --> 00:30:35,440
Speaker 1: masks so you don't get somebody else. It's only temporary.

494
00:30:35,480 --> 00:30:37,920
Speaker 1: That's I want all of you to be healthy and

495
00:30:37,960 --> 00:30:40,160
Speaker 1: all the people in your lives to be healthy. And

496
00:30:40,200 --> 00:30:42,880
Speaker 1: then you got the psycho Adam Shift, the liar that

497
00:30:42,960 --> 00:30:45,920
Speaker 1: he is. Oh, and he's in big trouble tomorrow. Oh,

498
00:30:46,040 --> 00:30:49,239
Speaker 1: wait to hear from John Solomon later. We'll get to that.

499
00:30:49,680 --> 00:30:51,840
Speaker 1: You know, he's now accusing Well, if we would have

500
00:30:51,880 --> 00:30:54,760
Speaker 1: just impeached Trump, none of this Corona death stuff would

501
00:30:54,800 --> 00:30:58,960
Speaker 1: have happened. I'm like, huh, you know, Michael Moore, Earth

502
00:30:59,000 --> 00:31:01,960
Speaker 1: will take revenge on mankind for trying to choke it

503
00:31:02,080 --> 00:31:08,200
Speaker 1: to blanking death. It's it's madness. I don't know. We're

504
00:31:08,240 --> 00:31:11,720
Speaker 1: getting to the point irreconcilable differences, it seems, doesn't it.

505
00:31:12,400 --> 00:31:14,400
Speaker 1: All right? Glad you with us our two eight hundred

506
00:31:14,520 --> 00:31:16,080
Speaker 1: ninety four one, Sean, you want to be a part

507
00:31:16,120 --> 00:31:18,480
Speaker 1: of the program, all right? How to open the country,

508
00:31:18,520 --> 00:31:22,520
Speaker 1: open it safely? We bring back our medical eight team,

509
00:31:22,560 --> 00:31:28,440
Speaker 1: and that would be the wonderful doctor Oz, Sir. I'm

510
00:31:28,520 --> 00:31:33,040
Speaker 1: watching what's happening. And unfortunately, there's way too much politics

511
00:31:33,040 --> 00:31:35,960
Speaker 1: involved in this. So I'm trying to think in my

512
00:31:36,040 --> 00:31:42,240
Speaker 1: own non medical doctor brain. Okay, what have we learned? Well?

513
00:31:42,280 --> 00:31:44,640
Speaker 1: We learned in New York it's dumb to put people

514
00:31:44,800 --> 00:31:48,400
Speaker 1: that have COVID nineteen in nursing homes. That was a

515
00:31:48,440 --> 00:31:51,160
Speaker 1: bad idea and it resulted in a lot of deaths

516
00:31:51,160 --> 00:31:54,920
Speaker 1: that probably could have been prevented. We learned in Florida

517
00:31:55,040 --> 00:32:00,240
Speaker 1: by targeting the elderly and the most vulnerable population worked

518
00:32:00,280 --> 00:32:05,840
Speaker 1: really well. We learned that draconian orders like in Michigan

519
00:32:06,400 --> 00:32:10,040
Speaker 1: are not necessarily you know, it's telling people not to

520
00:32:10,040 --> 00:32:12,000
Speaker 1: go camping, or cut their law and or go out

521
00:32:12,240 --> 00:32:15,040
Speaker 1: a loan on a jet ski is a little draconian

522
00:32:15,160 --> 00:32:18,800
Speaker 1: and not particularly helpful. That people getting out socially distanced

523
00:32:18,840 --> 00:32:21,800
Speaker 1: walking a beach like in Florida, you know, didn't seem

524
00:32:21,800 --> 00:32:25,640
Speaker 1: to hurt a lot of people. But Florida, targeting the

525
00:32:25,720 --> 00:32:29,120
Speaker 1: vulnerable seemed to be the answer. I think we learned

526
00:32:29,160 --> 00:32:32,240
Speaker 1: something in New York because I kept going shopping every week,

527
00:32:32,280 --> 00:32:35,440
Speaker 1: and I see the same guys stocking the shelves every day.

528
00:32:35,520 --> 00:32:38,840
Speaker 1: So we have food and supplies and none of them

529
00:32:38,880 --> 00:32:41,320
Speaker 1: got sick. None of them might see the same guys

530
00:32:41,360 --> 00:32:44,600
Speaker 1: every week. How do we apply what we did right

531
00:32:44,880 --> 00:32:50,080
Speaker 1: to opening the country quickly and safely. Well, one thing

532
00:32:50,160 --> 00:32:52,400
Speaker 1: for sure is there are models from other parts of

533
00:32:52,440 --> 00:32:54,800
Speaker 1: the world that are having an impact, So it is

534
00:32:54,840 --> 00:32:59,479
Speaker 1: possible to keep your country open. Wear masks, socially, distance,

535
00:32:59,560 --> 00:33:01,720
Speaker 1: be super were strict about how you enforced. That's some

536
00:33:01,840 --> 00:33:03,680
Speaker 1: things we couldn't do in America, but it could be

537
00:33:03,720 --> 00:33:05,840
Speaker 1: done in parts of the world who are a tolerant

538
00:33:05,880 --> 00:33:08,600
Speaker 1: of it and get success without shutting the country down.

539
00:33:08,920 --> 00:33:12,240
Speaker 1: The real issue for us is not to keep adjusting

540
00:33:12,280 --> 00:33:14,520
Speaker 1: what we did. We made a huge sacrifice to flatten

541
00:33:14,520 --> 00:33:16,280
Speaker 1: the curve. That was the goal right, flatten the curve.

542
00:33:16,640 --> 00:33:19,920
Speaker 1: We don't want to squander that by jumping into reopening

543
00:33:20,560 --> 00:33:23,000
Speaker 1: areas like nursing home so anyone can go visit whenever

544
00:33:23,040 --> 00:33:26,840
Speaker 1: they want without lots of careful thought. That stated, the

545
00:33:26,880 --> 00:33:29,560
Speaker 1: goal wasn't to eradicate the virus, because that's not doable

546
00:33:29,840 --> 00:33:33,640
Speaker 1: with social distancing by itself. And there are health impacts

547
00:33:33,640 --> 00:33:35,880
Speaker 1: from COVID nineteen that are very visible, and the health

548
00:33:35,880 --> 00:33:39,480
Speaker 1: impacts were sheltering in place that are invisible, but still important.

549
00:33:39,520 --> 00:33:42,480
Speaker 1: So the challenge for all of us is to say, Okay,

550
00:33:42,760 --> 00:33:45,080
Speaker 1: what are the things that our first line have to happen,

551
00:33:45,640 --> 00:33:49,480
Speaker 1: like getting businesses opened, and then next step getting restaurants open,

552
00:33:49,560 --> 00:33:52,480
Speaker 1: and then next step you know, the movie theater phenomenon,

553
00:33:52,640 --> 00:33:56,040
Speaker 1: and then you're fixated on stadiums, which I understand, so

554
00:33:56,120 --> 00:33:58,360
Speaker 1: that you moved down the road to tords. I'm fixated

555
00:33:58,440 --> 00:34:01,320
Speaker 1: on it and I can't wait because you can. But

556
00:34:01,360 --> 00:34:03,640
Speaker 1: they're all going to work at different levels. So you

557
00:34:03,760 --> 00:34:07,440
Speaker 1: picked on something really important. Nursing home depths someone are

558
00:34:07,520 --> 00:34:10,839
Speaker 1: your a quarter of the deaths. It's a catastrophe, and

559
00:34:11,280 --> 00:34:13,960
Speaker 1: it's happened in many parts of the world, not just

560
00:34:14,000 --> 00:34:16,759
Speaker 1: this country. We just have to be super strict. Out

561
00:34:16,800 --> 00:34:19,440
Speaker 1: of two friends actually work in that space. Both of

562
00:34:19,440 --> 00:34:21,640
Speaker 1: them now said, you know, once you got one patient

563
00:34:21,640 --> 00:34:23,360
Speaker 1: and a wing of the facility that has to be

564
00:34:23,400 --> 00:34:25,279
Speaker 1: a COVID wing, you cannot cross mix them. It's just

565
00:34:25,320 --> 00:34:28,040
Speaker 1: too dangerous. There's no room for air. There are other

566
00:34:28,080 --> 00:34:31,040
Speaker 1: scenarios where you you know, you can start start to

567
00:34:31,080 --> 00:34:33,840
Speaker 1: figure this out. I mean by giving the initial vaccines

568
00:34:33,880 --> 00:34:36,000
Speaker 1: to see if they're safe. Are not being given to

569
00:34:36,040 --> 00:34:38,200
Speaker 1: older people, even though that's who needs it the most.

570
00:34:38,400 --> 00:34:40,480
Speaker 1: It's being given to younger people, right to pick three

571
00:34:40,480 --> 00:34:43,279
Speaker 1: of five or pick three hundred and sixty young people said, Hey,

572
00:34:43,280 --> 00:34:45,200
Speaker 1: you know what, we're going to give you all this vaction.

573
00:34:45,239 --> 00:34:47,719
Speaker 1: We we have four different types of vaccines. We don't

574
00:34:47,760 --> 00:34:49,319
Speaker 1: know which one is the best. We're going to give

575
00:34:49,760 --> 00:34:52,040
Speaker 1: you know, each of you know, one or four. We're

576
00:34:52,040 --> 00:34:53,439
Speaker 1: going to see how you do. And if you guys

577
00:34:53,440 --> 00:34:54,880
Speaker 1: do well, which we think you will, then we're going

578
00:34:54,920 --> 00:34:56,520
Speaker 1: to give it to the older folks. They'll do the

579
00:34:56,560 --> 00:34:59,279
Speaker 1: same thing when they're testing it for in populations that

580
00:34:59,320 --> 00:35:01,839
Speaker 1: are high risk in hind transmission areas. You know, they'll

581
00:35:01,880 --> 00:35:03,399
Speaker 1: give it to healthcare workers who are not the older

582
00:35:03,400 --> 00:35:05,600
Speaker 1: ones who are most at risk. Because that's how you'll

583
00:35:05,600 --> 00:35:08,840
Speaker 1: figure out. It's been healthiest people possible, with the least

584
00:35:08,920 --> 00:35:12,799
Speaker 1: room for at least chance of having a catastrophic complication.

585
00:35:13,080 --> 00:35:16,759
Speaker 1: You won't have any problems. You know. I'm watching a

586
00:35:16,760 --> 00:35:19,680
Speaker 1: lot of the protests and you've been watching it as well,

587
00:35:19,760 --> 00:35:22,200
Speaker 1: and there's no social distancing and a lot of people

588
00:35:22,239 --> 00:35:25,200
Speaker 1: aren't wearing masks. Now, I'm not a doctor, doctor Oz,

589
00:35:25,480 --> 00:35:30,040
Speaker 1: but we've both watched this up close and personal and

590
00:35:30,080 --> 00:35:34,640
Speaker 1: it may not even be for the people that are protesting,

591
00:35:34,640 --> 00:35:36,920
Speaker 1: and I understand they want to they want to open

592
00:35:36,920 --> 00:35:40,279
Speaker 1: their businesses, they want to get back to work. The

593
00:35:40,360 --> 00:35:43,920
Speaker 1: reason I would encourage people to wear the mask is

594
00:35:44,000 --> 00:35:46,319
Speaker 1: Number One, it's going to be very temporary, and I

595
00:35:46,360 --> 00:35:49,600
Speaker 1: think you agree with me there. Number Two, maybe you're

596
00:35:49,600 --> 00:35:51,319
Speaker 1: not doing it for yourself, but you're doing it for

597
00:35:51,360 --> 00:35:54,920
Speaker 1: other people because we're all likely to come into contact

598
00:35:54,920 --> 00:35:58,520
Speaker 1: with that vulnerable population on some level. If you don't

599
00:35:58,560 --> 00:35:59,960
Speaker 1: want to do it for yourself, at least do it

600
00:36:00,080 --> 00:36:04,160
Speaker 1: for them. And again, it's temporary, and I think we

601
00:36:04,160 --> 00:36:06,880
Speaker 1: we tend to lose perspective. I'm not going to let

602
00:36:06,960 --> 00:36:09,840
Speaker 1: any government bureaucrat tell me to wear a mask. Okay,

603
00:36:09,920 --> 00:36:12,400
Speaker 1: I'm doing it because I don't want to infect an

604
00:36:12,400 --> 00:36:16,160
Speaker 1: old person. That's my That is my real, sincere, honest

605
00:36:16,600 --> 00:36:19,799
Speaker 1: reason that I would encourage other people to do it too.

606
00:36:20,640 --> 00:36:23,520
Speaker 1: I think I applaud what you've been saying. In addition,

607
00:36:23,600 --> 00:36:27,760
Speaker 1: you know we don't want to go into state capitals armed,

608
00:36:27,800 --> 00:36:31,319
Speaker 1: and you know, menacingly, even if you're right about the

609
00:36:31,360 --> 00:36:34,279
Speaker 1: fundamental principle that it's your autonomous reason, you know it's

610
00:36:34,360 --> 00:36:36,920
Speaker 1: right to do something there are people who are protecting

611
00:36:37,040 --> 00:36:38,960
Speaker 1: who we owe a lot too, right, they raised us.

612
00:36:39,200 --> 00:36:41,719
Speaker 1: But there's another issue here. We got to get the

613
00:36:41,760 --> 00:36:45,399
Speaker 1: whole population going out and doing things because they think

614
00:36:45,400 --> 00:36:48,760
Speaker 1: it's safe if they're If half the population is feeling

615
00:36:48,800 --> 00:36:51,359
Speaker 1: bullied by the other half the population, and both sides

616
00:36:51,400 --> 00:36:54,239
Speaker 1: have arguments on this, then not the whole population goes

617
00:36:54,280 --> 00:36:57,520
Speaker 1: back out and safely, confidently and starts to do the

618
00:36:57,520 --> 00:36:59,560
Speaker 1: things that are that our society needs for it to

619
00:36:59,600 --> 00:37:01,719
Speaker 1: function at an emotional level, at a physical level, and

620
00:37:01,719 --> 00:37:04,160
Speaker 1: everything in between. I mean, I've been masor focused on

621
00:37:04,440 --> 00:37:07,200
Speaker 1: trying to help with the logistics of getting food from

622
00:37:07,239 --> 00:37:09,600
Speaker 1: the farm to the table. It's I mean, these are

623
00:37:09,920 --> 00:37:13,200
Speaker 1: shockingly big problems. I mean, like billions of dollars of problems,

624
00:37:13,200 --> 00:37:15,279
Speaker 1: with a lot of waste in between. We all got

625
00:37:15,280 --> 00:37:17,719
Speaker 1: to do this together. Arguing about what day you go

626
00:37:17,760 --> 00:37:19,439
Speaker 1: out or don't go out is made a lot less

627
00:37:19,440 --> 00:37:21,560
Speaker 1: painful that everyone agrees at some point you've got to

628
00:37:21,600 --> 00:37:24,279
Speaker 1: get out. That's doing the safest way possible so you

629
00:37:24,320 --> 00:37:27,640
Speaker 1: don't feel at risk. And that way when the country,

630
00:37:27,840 --> 00:37:30,120
Speaker 1: when the governor says your state is open, that people

631
00:37:30,120 --> 00:37:34,799
Speaker 1: of the state will also open. Okay, So Now. The

632
00:37:34,880 --> 00:37:37,360
Speaker 1: other thing that will help us, but it's going to

633
00:37:37,480 --> 00:37:41,399
Speaker 1: take some time, is and I got some updates from

634
00:37:41,560 --> 00:37:45,000
Speaker 1: my sources, both on the medical side and on the

635
00:37:45,040 --> 00:37:49,279
Speaker 1: governmental side, and they're saying they really believe by sort

636
00:37:49,280 --> 00:37:51,000
Speaker 1: of like the end of May, we're going to have

637
00:37:51,040 --> 00:37:53,759
Speaker 1: tens of millions of tests available a month. That's a lot.

638
00:37:54,120 --> 00:37:56,360
Speaker 1: Not everybody's going to need it, but I think that

639
00:37:56,400 --> 00:37:59,640
Speaker 1: could go a long way to helping us open and

640
00:38:00,120 --> 00:38:03,880
Speaker 1: been with confidence. Correct. That's saying will help dramatically. But

641
00:38:03,920 --> 00:38:06,400
Speaker 1: I gotta add, you got the word tracing after that,

642
00:38:06,480 --> 00:38:08,640
Speaker 1: because once you test someone and you figure out that

643
00:38:08,640 --> 00:38:10,960
Speaker 1: they're infected, you've got to trace to people that they've

644
00:38:10,960 --> 00:38:13,840
Speaker 1: been in close contact with, usually their friends, co workers,

645
00:38:14,000 --> 00:38:15,680
Speaker 1: and you gotta say, hey, this and we're not sure,

646
00:38:15,920 --> 00:38:18,320
Speaker 1: but because you guys work together in the same facility

647
00:38:18,400 --> 00:38:20,480
Speaker 1: right across from each other, there's too much of a

648
00:38:20,560 --> 00:38:22,520
Speaker 1: chance you're infected. So you're gonna have to take two

649
00:38:22,520 --> 00:38:24,080
Speaker 1: weeks off. And you know what, I know there's an

650
00:38:24,080 --> 00:38:26,680
Speaker 1: issue financially, We're going to help you with that. We'll

651
00:38:26,719 --> 00:38:28,880
Speaker 1: help you with pausing. We got to step up just

652
00:38:28,920 --> 00:38:31,920
Speaker 1: for a while to make sure that people do You

653
00:38:32,000 --> 00:38:33,640
Speaker 1: got to make it easy for people to do the

654
00:38:33,719 --> 00:38:36,719
Speaker 1: right thing, and that's how we'll ultimately squash this. But

655
00:38:37,040 --> 00:38:39,040
Speaker 1: I'm going to say it again, it's never going to

656
00:38:39,120 --> 00:38:41,560
Speaker 1: go to zero, and I want people to be comfortable

657
00:38:41,560 --> 00:38:44,080
Speaker 1: with that, so they're not panicked or feeling like we're failing.

658
00:38:44,640 --> 00:38:47,960
Speaker 1: If suddenly there's a little outbreak with sixteen people in

659
00:38:47,960 --> 00:38:51,120
Speaker 1: one company influence as long as they're younger and healthier,

660
00:38:51,160 --> 00:38:55,040
Speaker 1: people who don't get hospitalized and god forbid having bigger complications,

661
00:38:55,280 --> 00:38:57,960
Speaker 1: and we should say, okay, let's stomp that out, do

662
00:38:58,360 --> 00:39:01,160
Speaker 1: all the tracing required, public help people do what they're

663
00:39:01,160 --> 00:39:03,200
Speaker 1: supposed to do, and we'll shut that little part of

664
00:39:03,200 --> 00:39:05,520
Speaker 1: our company down for two weeks, open it back up again.

665
00:39:05,560 --> 00:39:07,080
Speaker 1: But the rest of the company who stay in business.

666
00:39:07,880 --> 00:39:10,560
Speaker 1: How do you feel when the hot spots emerged? One

667
00:39:10,640 --> 00:39:13,280
Speaker 1: was in South Dakota at a meat packing plant, another

668
00:39:13,320 --> 00:39:16,840
Speaker 1: at an Iowa meatpacking plant, and another one in Washington State.

669
00:39:17,200 --> 00:39:19,920
Speaker 1: In other words, it became an instant hot zone. How

670
00:39:19,920 --> 00:39:23,320
Speaker 1: do you feel that we reacted when those hot spots

671
00:39:23,360 --> 00:39:27,680
Speaker 1: came up because there's going to be those down the line. Well,

672
00:39:27,719 --> 00:39:29,480
Speaker 1: there's two elements to it. First, why did it happened.

673
00:39:29,480 --> 00:39:30,719
Speaker 1: What can we learn as we do if we don't

674
00:39:30,719 --> 00:39:34,120
Speaker 1: repeat it. And in the case of the meat processing facilities,

675
00:39:34,280 --> 00:39:37,440
Speaker 1: by the nature of that business, you've got workers elbow

676
00:39:37,480 --> 00:39:40,520
Speaker 1: to elbow working their tails off someone across this table

677
00:39:40,600 --> 00:39:43,960
Speaker 1: from them. So any one person talks about anything, there's

678
00:39:44,000 --> 00:39:45,720
Speaker 1: going to be virus in the air if they're affected.

679
00:39:45,760 --> 00:39:48,799
Speaker 1: So you get the whole supply line could compromise because

680
00:39:48,840 --> 00:39:51,839
Speaker 1: these factors. You know, somebody produced several percent of the

681
00:39:51,840 --> 00:39:54,600
Speaker 1: food supply of port, for example. So what we want

682
00:39:54,600 --> 00:39:56,759
Speaker 1: to do is separate people a little more, put the

683
00:39:56,920 --> 00:39:59,480
Speaker 1: viders in. They wear masks. We don't know how effected

684
00:39:59,520 --> 00:40:01,879
Speaker 1: those masks are, but the right masks and the the right

685
00:40:01,880 --> 00:40:04,799
Speaker 1: people could be really effective. Let's prove that. And at

686
00:40:04,800 --> 00:40:07,319
Speaker 1: the same time, here's the big issue. People who are

687
00:40:07,320 --> 00:40:09,880
Speaker 1: healthy in those plants. We don't want them scared. We

688
00:40:09,960 --> 00:40:13,040
Speaker 1: want them really believing because it's the truth that everything

689
00:40:13,120 --> 00:40:14,800
Speaker 1: is being done to keep them safe and out of

690
00:40:14,840 --> 00:40:17,040
Speaker 1: harm's way. So that if you do have a couple

691
00:40:17,040 --> 00:40:18,640
Speaker 1: of sick workers, which is going to happen in a

692
00:40:18,640 --> 00:40:21,239
Speaker 1: big factory, everybody else still comes to work because they

693
00:40:21,280 --> 00:40:24,880
Speaker 1: know that you're in it. Wisdom if you're let's speak

694
00:40:24,920 --> 00:40:30,000
Speaker 1: in broad generalities here. So if you're not social distancing, well,

695
00:40:30,040 --> 00:40:32,160
Speaker 1: if you are, let's assume you don't have to wear

696
00:40:32,200 --> 00:40:35,040
Speaker 1: a mask. But if you are, if you're not, if

697
00:40:35,120 --> 00:40:37,799
Speaker 1: you if you don't have that capacity, and you have

698
00:40:37,880 --> 00:40:41,600
Speaker 1: the mask, and then you add the plexiglass, you know,

699
00:40:41,880 --> 00:40:46,080
Speaker 1: possibility as we've seen for salons and restaurants in the pictures, etc.

700
00:40:48,440 --> 00:40:51,600
Speaker 1: How safe is that in your view? Or maybe we

701
00:40:51,640 --> 00:40:54,279
Speaker 1: don't know. We don't have the full answer, but your

702
00:40:54,320 --> 00:40:58,600
Speaker 1: best gas educated guests. First of all, I say, shockingly,

703
00:40:58,640 --> 00:41:00,440
Speaker 1: we don't know for sure, because you think we'd know

704
00:41:00,560 --> 00:41:04,040
Speaker 1: that already, but it's hard to study that. And my

705
00:41:04,080 --> 00:41:06,120
Speaker 1: personal belief is it makes a huge difference to wear

706
00:41:06,160 --> 00:41:08,239
Speaker 1: a mask, the right kind of mask, And it's thought,

707
00:41:08,239 --> 00:41:09,719
Speaker 1: what is the right kind of masks? Does it have

708
00:41:09,760 --> 00:41:13,040
Speaker 1: to be an N ninety five mask? No? I think

709
00:41:13,040 --> 00:41:16,520
Speaker 1: that a surgical mask will help prevent your sputum from

710
00:41:16,520 --> 00:41:18,720
Speaker 1: getting to everybody else, which is probably the single best

711
00:41:18,760 --> 00:41:21,319
Speaker 1: way of slowing this down. And I just looked at

712
00:41:21,360 --> 00:41:24,000
Speaker 1: a nice video that was a New Journal of Medicine

713
00:41:24,000 --> 00:41:26,839
Speaker 1: showing some you know, someone saying the word healthy three

714
00:41:26,880 --> 00:41:29,040
Speaker 1: times when they didn't have a mask on the whole

715
00:41:29,040 --> 00:41:31,400
Speaker 1: thing lit up with little spits of spute them with

716
00:41:31,480 --> 00:41:33,719
Speaker 1: theoretically virus in them. When the person put on a

717
00:41:33,719 --> 00:41:36,040
Speaker 1: surgical mask, it disappeared. I mean, you couldn't see any

718
00:41:36,040 --> 00:41:38,759
Speaker 1: of that, you know, I'm just I'm visually saying I

719
00:41:38,800 --> 00:41:40,800
Speaker 1: couldn't say anything. They may have been small, little particles.

720
00:41:41,040 --> 00:41:43,600
Speaker 1: But I think it's not just about a mask that

721
00:41:43,680 --> 00:41:45,399
Speaker 1: has the right kind of space in between it. It's

722
00:41:45,400 --> 00:41:49,439
Speaker 1: also more sophisticated masks. Alex strastatic charges new new types

723
00:41:49,480 --> 00:41:52,359
Speaker 1: of compounds that attracts sputum to them, so they wick

724
00:41:52,400 --> 00:41:54,239
Speaker 1: it and they prevent it from getting into your you know,

725
00:41:54,280 --> 00:41:56,000
Speaker 1: out of your mouth towards the rest of the people

726
00:41:56,040 --> 00:41:58,200
Speaker 1: you work with. And so I think mask will make

727
00:41:58,200 --> 00:42:00,560
Speaker 1: a huge difference. We got to prove it, you know

728
00:42:00,600 --> 00:42:02,880
Speaker 1: there you should prove it. And people are young and healthy.

729
00:42:03,080 --> 00:42:05,799
Speaker 1: So it's for some reasons that as someone gets ill,

730
00:42:06,200 --> 00:42:09,919
Speaker 1: it's usually going to be either asymptomatic or not bad

731
00:42:10,000 --> 00:42:11,839
Speaker 1: enough the landing in a hospital. That's I keep coming

732
00:42:11,840 --> 00:42:14,000
Speaker 1: back to that theme because if everyone who got this

733
00:42:14,160 --> 00:42:17,879
Speaker 1: virus was sick for five days, that's not good news, right,

734
00:42:18,000 --> 00:42:20,279
Speaker 1: But sick for five days and then back to work again.

735
00:42:20,400 --> 00:42:22,480
Speaker 1: Is when you're safe. It's very different from in a

736
00:42:22,520 --> 00:42:26,319
Speaker 1: hospital intubated, in an ICU. Did you see the IDF

737
00:42:26,560 --> 00:42:31,040
Speaker 1: Israel declaring a breakthrough in their antibody treatment. I know

738
00:42:31,080 --> 00:42:34,560
Speaker 1: you're following this stuff every day, um, but anyway, they're

739
00:42:34,600 --> 00:42:37,640
Speaker 1: calling it a major breakthrough that in finding that an

740
00:42:37,680 --> 00:42:42,200
Speaker 1: antidote to the coronavirus, isolating and developing an antibody that

741
00:42:42,280 --> 00:42:45,600
Speaker 1: attacks the virus. And I guess that would somehow, I

742
00:42:45,640 --> 00:42:48,480
Speaker 1: guess people would ingest it, have it. I don't know,

743
00:42:48,680 --> 00:42:51,719
Speaker 1: have a rejective. It will be yeah, it will be injected.

744
00:42:51,719 --> 00:42:53,759
Speaker 1: As you know, I get a firehose of information every

745
00:42:53,800 --> 00:42:56,640
Speaker 1: day that I'm digesting. But what they're what they're looking

746
00:42:56,680 --> 00:42:59,720
Speaker 1: at are antibodies that are that are ready to attack

747
00:42:59,800 --> 00:43:02,320
Speaker 1: the COVID nineteen. So you would give it to people

748
00:43:02,360 --> 00:43:04,640
Speaker 1: whose immune systems weren't able to keep up on Maybe

749
00:43:04,640 --> 00:43:06,319
Speaker 1: you just give it early in enailment just to make

750
00:43:06,320 --> 00:43:09,120
Speaker 1: sure their immune system kept up, and you'd slaughter all

751
00:43:09,160 --> 00:43:11,920
Speaker 1: the cells that have virus being expressed, so you get

752
00:43:12,000 --> 00:43:14,480
Speaker 1: rid of all those those areas that you know, the

753
00:43:14,480 --> 00:43:16,879
Speaker 1: infected areas. And it's a it's a it's a. It's

754
00:43:16,880 --> 00:43:19,120
Speaker 1: not dissimilar from what we have been trying to do

755
00:43:19,239 --> 00:43:22,440
Speaker 1: getting plasma from people who already been exposed. These are

756
00:43:22,440 --> 00:43:25,520
Speaker 1: all downstream tools. You know you'd try them and people

757
00:43:25,520 --> 00:43:28,040
Speaker 1: who are you know, having significant problems. It'd be great

758
00:43:28,040 --> 00:43:30,600
Speaker 1: to have medications that you use if you're an outpatient

759
00:43:30,640 --> 00:43:34,200
Speaker 1: to accelerate your recovery. That's why I use. Trials that

760
00:43:34,239 --> 00:43:37,520
Speaker 1: are ongoing with medications like hydroxychloroquine are important to us

761
00:43:37,520 --> 00:43:39,279
Speaker 1: because we want, you know, ideally, if some of these

762
00:43:39,400 --> 00:43:41,239
Speaker 1: might pan out, then the zivier is going to be

763
00:43:41,280 --> 00:43:44,160
Speaker 1: tried in healthier patients next, I bet, just because they

764
00:43:44,160 --> 00:43:45,480
Speaker 1: want to make sure that you know, I can use

765
00:43:45,520 --> 00:43:47,960
Speaker 1: it in people before they get critically ill. There's so

766
00:43:48,040 --> 00:43:50,479
Speaker 1: much being made on the therapy side, but the real

767
00:43:50,520 --> 00:43:53,319
Speaker 1: home run is how fast we're moving in vaccines, where

768
00:43:53,360 --> 00:43:56,480
Speaker 1: I mean, we're all stunned the ability of these companies

769
00:43:56,520 --> 00:43:59,839
Speaker 1: to to draft off prior ideas, some of them from

770
00:44:00,080 --> 00:44:03,640
Speaker 1: college e deal using techniques that cancer researchers have been using.

771
00:44:03,640 --> 00:44:06,879
Speaker 1: They're using ideas from older vaccine concepts that never were

772
00:44:06,920 --> 00:44:09,840
Speaker 1: proven out because the vaccan or the ebola went away,

773
00:44:09,920 --> 00:44:12,799
Speaker 1: or the original starts disappeared. And now that they are

774
00:44:12,840 --> 00:44:18,880
Speaker 1: being tried in really aggressive ways to hopefully benefit us.

775
00:44:18,880 --> 00:44:20,880
Speaker 1: I mean, if we had a vaccine by early twenty

776
00:44:20,920 --> 00:44:23,840
Speaker 1: twenty one, which most of my friends are saying, because

777
00:44:24,000 --> 00:44:26,040
Speaker 1: if we get a little lucky could happen, that would

778
00:44:26,080 --> 00:44:27,920
Speaker 1: just change everything, because we give that the folks were

779
00:44:27,960 --> 00:44:31,239
Speaker 1: vulnerable immediately. It's still a long way off, though, right,

780
00:44:31,280 --> 00:44:33,600
Speaker 1: I mean, that's that's the hard part, you know, the

781
00:44:33,680 --> 00:44:36,600
Speaker 1: financial cost of all of this. I mean, everybody better

782
00:44:36,680 --> 00:44:39,600
Speaker 1: prepare for sticker shock of you will, because when those

783
00:44:39,600 --> 00:44:43,040
Speaker 1: second quarter numbers come in, it's going to be ugly,

784
00:44:43,600 --> 00:44:46,520
Speaker 1: as ugly as we've ever seen. Now. The hope is

785
00:44:46,719 --> 00:44:50,440
Speaker 1: that's April, May, June. The hope is July, August, September

786
00:44:50,480 --> 00:44:55,200
Speaker 1: we begin to see the trends shift back up, hopefully dramatically,

787
00:44:55,719 --> 00:44:59,160
Speaker 1: and certainly the President's targeting quarter four in the beginning

788
00:44:59,160 --> 00:45:01,920
Speaker 1: of next year as when we really make our comeback.

789
00:45:01,920 --> 00:45:04,479
Speaker 1: And if you're talking about a vaccine at that point

790
00:45:04,520 --> 00:45:06,839
Speaker 1: this is done, Did we then, like have to now

791
00:45:06,880 --> 00:45:09,240
Speaker 1: focus on these killer bees? Have you been reading about

792
00:45:09,239 --> 00:45:12,080
Speaker 1: this thing? Yeah? Killer bee? I just interviewed the big guy.

793
00:45:12,200 --> 00:45:14,160
Speaker 1: You know, there's a YouTube video of the killer bee

794
00:45:14,160 --> 00:45:18,319
Speaker 1: biting a guy and I had show today, right, these

795
00:45:18,400 --> 00:45:20,040
Speaker 1: killer bees are not an issue for US, guys, and

796
00:45:20,160 --> 00:45:24,040
Speaker 1: they came here in December. Actually, they're not many of them,

797
00:45:24,080 --> 00:45:26,279
Speaker 1: they don't all hang on. Fauci said that the risk

798
00:45:26,400 --> 00:45:29,080
Speaker 1: is low. February twenty nine. Hanging there, doctor Oz. Let's

799
00:45:29,120 --> 00:45:31,960
Speaker 1: not make any proclamations here. I think we all got

800
00:45:32,120 --> 00:45:35,200
Speaker 1: sandbagged on all this. These these will be a problem

801
00:45:35,239 --> 00:45:37,520
Speaker 1: one day, but they're not a problem in twenty twenty.

802
00:45:37,600 --> 00:45:40,240
Speaker 1: Let's focus on a much bigger issue. Yeah, the election

803
00:45:40,239 --> 00:45:42,600
Speaker 1: in one hundred and eighty one days, with all of

804
00:45:42,640 --> 00:45:45,000
Speaker 1: this happening in the background, all right, twenty five to

805
00:45:45,120 --> 00:45:46,799
Speaker 1: the top of the hour, eight hundred and nine four

806
00:45:46,920 --> 00:45:48,800
Speaker 1: one Sean, you want to be a part of the program,

807
00:45:49,200 --> 00:45:52,040
Speaker 1: you know I was. I'll just tell you these are

808
00:45:52,800 --> 00:45:58,680
Speaker 1: these are very strange, weird times, and I'm not sure

809
00:45:58,960 --> 00:46:00,879
Speaker 1: you know. I've been doing this at thirty one years

810
00:46:00,880 --> 00:46:05,760
Speaker 1: in radio and twenty four or five years London then Fox,

811
00:46:06,719 --> 00:46:13,360
Speaker 1: and you just watch and what I have to conclude

812
00:46:13,360 --> 00:46:18,160
Speaker 1: at some point is there are people, and there are

813
00:46:18,160 --> 00:46:20,719
Speaker 1: a lot of them, and they seem to make up

814
00:46:20,760 --> 00:46:22,719
Speaker 1: a lot of the mob and the media and the

815
00:46:22,760 --> 00:46:26,719
Speaker 1: democratic party, they just don't care what the truth is,

816
00:46:27,719 --> 00:46:32,279
Speaker 1: and somehow they just take on this breathtaking hypocrisy and

817
00:46:32,400 --> 00:46:36,000
Speaker 1: they own it and they defend it, and they're gonna

818
00:46:36,120 --> 00:46:40,080
Speaker 1: keep defending it, and they're not gonna stop defending it,

819
00:46:40,160 --> 00:46:44,879
Speaker 1: no matter how obviously hypocritical that they are. I mean,

820
00:46:45,040 --> 00:46:47,719
Speaker 1: it was at the end of the day here, they

821
00:46:47,760 --> 00:46:51,319
Speaker 1: just want Trump to fail so that they can defeat him.

822
00:46:51,440 --> 00:46:56,680
Speaker 1: And for them that's a victory rather than maybe saying, Okay,

823
00:46:56,719 --> 00:46:59,239
Speaker 1: maybe we should be all hands on deck and keep

824
00:46:59,280 --> 00:47:02,120
Speaker 1: people safe and yeah the travel band worked in the

825
00:47:02,200 --> 00:47:05,320
Speaker 1: medical mobilization. Wow, we did a pretty good job there too.

826
00:47:06,600 --> 00:47:10,160
Speaker 1: But that's never gonna happen with them. There's nothing this

827
00:47:10,280 --> 00:47:12,640
Speaker 1: president will ever do. I've said a he cures cancer,

828
00:47:12,840 --> 00:47:15,719
Speaker 1: it's you know, they'd want to impeach them. Then you

829
00:47:15,719 --> 00:47:19,880
Speaker 1: have these other idiot politicians that are totally, completely and

830
00:47:20,200 --> 00:47:26,680
Speaker 1: utterly caught flat footed, prepared for nothing, made proclamations that

831
00:47:26,719 --> 00:47:30,440
Speaker 1: were false, demonstrably false late in the game that they

832
00:47:30,440 --> 00:47:33,280
Speaker 1: were prepared, and go out on the town and it's safe,

833
00:47:33,880 --> 00:47:38,120
Speaker 1: and they're not held accountable. They're praised by the mob,

834
00:47:38,160 --> 00:47:41,160
Speaker 1: they're praised by their and protected by their fellow Democrats,

835
00:47:41,840 --> 00:47:44,640
Speaker 1: you know, and then every other issue we've been dealing with,

836
00:47:45,280 --> 00:47:47,279
Speaker 1: you know, well the president, you know what did the

837
00:47:47,280 --> 00:47:51,320
Speaker 1: president want? Nothing? Well, we can't have quid pro quos.

838
00:47:51,560 --> 00:47:54,600
Speaker 1: But then you ignore Joe. You know you're not getting

839
00:47:54,600 --> 00:47:58,160
Speaker 1: the billion, you know, the whole thing Russian interference, Oh,

840
00:47:58,280 --> 00:48:02,759
Speaker 1: we can't have that, but the likely Russian disinformation from

841
00:48:02,800 --> 00:48:05,080
Speaker 1: the get go, dirty Clinton bought and paid for it.

842
00:48:05,760 --> 00:48:10,879
Speaker 1: It gets no coverage except from you know, places like here,

843
00:48:10,920 --> 00:48:15,640
Speaker 1: not many, not many places. You know. I believe, I believe,

844
00:48:16,000 --> 00:48:20,000
Speaker 1: I believe, but I don't believe Biden's accuser, who has

845
00:48:20,040 --> 00:48:23,680
Speaker 1: a lot more corroboration, and her mother calling Larry King

846
00:48:23,680 --> 00:48:27,680
Speaker 1: in nineteen ninety three, it's okay that nobody seems to

847
00:48:27,760 --> 00:48:31,480
Speaker 1: care that they spied on a presidential candidate and then

848
00:48:31,520 --> 00:48:35,880
Speaker 1: transition team and then a presidency and they did it

849
00:48:36,200 --> 00:48:42,840
Speaker 1: using an unverified dossier from basically Russian misinformation that was

850
00:48:42,920 --> 00:48:48,040
Speaker 1: never verifiable, claiming it was verified. Nobody's held accountable. They

851
00:48:48,080 --> 00:48:52,640
Speaker 1: set up a thirty three year general veteran service to

852
00:48:52,719 --> 00:48:55,879
Speaker 1: his country. Ye I sent them in. They brag about it.

853
00:48:56,320 --> 00:49:00,000
Speaker 1: You know, you don't need a lawyer. Then withhold exculpatory evidence.

854
00:49:00,320 --> 00:49:02,840
Speaker 1: Then they didn't even believe he's lying, and then threatened

855
00:49:02,880 --> 00:49:05,759
Speaker 1: to put the guy's son in jail after he's bankrupt

856
00:49:05,840 --> 00:49:08,600
Speaker 1: and had to sell his house. And then you have

857
00:49:08,719 --> 00:49:13,240
Speaker 1: pre dawn raids on people like Manaport and Roger Stone,

858
00:49:14,440 --> 00:49:18,240
Speaker 1: let's see for process crimes, or they didn't pay taxes

859
00:49:18,280 --> 00:49:22,440
Speaker 1: on X, Y or Z. It's unbelievable. Twenty nine guys,

860
00:49:22,560 --> 00:49:28,520
Speaker 1: tactical gear frogmen for lying to Congress. Really well, these

861
00:49:28,600 --> 00:49:32,239
Speaker 1: same guys that were involved in a lot of this. Yeah,

862
00:49:32,320 --> 00:49:36,040
Speaker 1: they were referred for investigation by the Inspector General for

863
00:49:36,120 --> 00:49:40,960
Speaker 1: this same exact thing. It's insane. You know, Well, we're

864
00:49:41,000 --> 00:49:43,400
Speaker 1: going to get a conviction and the jury fourth person

865
00:49:43,440 --> 00:49:46,640
Speaker 1: will find out later hated the person that was on trial.

866
00:49:46,680 --> 00:49:49,680
Speaker 1: Whatever happened to a fair and impartial jury. We'll send

867
00:49:49,760 --> 00:49:53,040
Speaker 1: the CNN cameras in for these early morning raids. We'll

868
00:49:53,080 --> 00:49:58,239
Speaker 1: do that too. You know, you gotta worry about what

869
00:49:58,320 --> 00:50:02,120
Speaker 1: this all means. That is, these people think they're right,

870
00:50:03,200 --> 00:50:07,319
Speaker 1: They justify it, they rationalize it, and they have no

871
00:50:07,440 --> 00:50:10,840
Speaker 1: desire to get to any truth. And no matter how

872
00:50:10,920 --> 00:50:14,800
Speaker 1: good a job is done on whatever level, they'll never

873
00:50:14,840 --> 00:50:18,440
Speaker 1: give credit unless you're a Democrat. No matter how bad

874
00:50:18,560 --> 00:50:22,280
Speaker 1: you are and how awful your decisions were, how ill

875
00:50:22,360 --> 00:50:26,160
Speaker 1: prepared you are, you're gonna be protected. Joe's gonna be

876
00:50:26,239 --> 00:50:28,840
Speaker 1: protected on Ukraine and the QUID and the pro and

877
00:50:28,920 --> 00:50:32,839
Speaker 1: the QUO. He's gonna be protected on Tara Reid. They're

878
00:50:32,840 --> 00:50:36,919
Speaker 1: even gonna protect you know what is a complete kind

879
00:50:36,960 --> 00:50:41,640
Speaker 1: of scary sets of incidences where he doesn't seem like

880
00:50:41,640 --> 00:50:44,200
Speaker 1: he's got a two together. They'll protect him on that too.

881
00:50:45,280 --> 00:50:48,800
Speaker 1: And it goes on and on, just like they protected Hillary,

882
00:50:49,680 --> 00:50:52,279
Speaker 1: and it's you know, at some point you just you

883
00:50:52,520 --> 00:50:54,839
Speaker 1: absorb all of this and you realize they don't They

884
00:50:54,840 --> 00:50:57,719
Speaker 1: don't give a flying rip about the truth. They have

885
00:50:57,800 --> 00:51:00,239
Speaker 1: contempt for the American people as much as they do

886
00:51:01,360 --> 00:51:04,360
Speaker 1: the president. If you like the president, you voted for

887
00:51:04,400 --> 00:51:07,360
Speaker 1: the president, you're just the smelly you know, Trump supporting

888
00:51:07,360 --> 00:51:13,680
Speaker 1: Walmart shopper, irredeemable, deplorable. You know, these people are racist.

889
00:51:13,719 --> 00:51:16,600
Speaker 1: I'm not going after those votes, Joe Biden said, Okay,

890
00:51:17,200 --> 00:51:21,480
Speaker 1: clinging to God, guns and Bibles and religion, it's all

891
00:51:21,520 --> 00:51:26,560
Speaker 1: happened anyway, for the very latest on this whole travesty

892
00:51:26,600 --> 00:51:29,759
Speaker 1: of justice as it relates to General Flynn. We have

893
00:51:29,840 --> 00:51:32,719
Speaker 1: Sidney Powell. She has a lot of updates today and

894
00:51:32,840 --> 00:51:36,239
Speaker 1: also just Thenews dot com. John Solomon is with us.

895
00:51:36,280 --> 00:51:40,920
Speaker 1: He's been covering all of this since early in twenty seventeen,

896
00:51:41,080 --> 00:51:44,560
Speaker 1: since the president got into office. Welcome both of you

897
00:51:44,600 --> 00:51:47,920
Speaker 1: back to the program. Where are we, Sidney Powell? I

898
00:51:48,000 --> 00:51:51,880
Speaker 1: understand you're getting new information daily what's going on. Yes,

899
00:51:52,040 --> 00:51:56,160
Speaker 1: we got the seven pages of additional Brady evidence last night,

900
00:51:56,239 --> 00:51:59,720
Speaker 1: evidence that shows that the government committed crimes and General

901
00:51:59,680 --> 00:52:02,799
Speaker 1: Flynn is innocent, and we get more every day. They've

902
00:52:02,800 --> 00:52:05,719
Speaker 1: told us to expect still more. I don't know when

903
00:52:05,719 --> 00:52:08,160
Speaker 1: the next batch is coming. Sometimes I think you all

904
00:52:08,160 --> 00:52:10,200
Speaker 1: in the media know more about all this than I do.

905
00:52:10,239 --> 00:52:13,880
Speaker 1: I just get an email that pops Sydney, Sydney. That

906
00:52:14,000 --> 00:52:17,520
Speaker 1: is the biggest insult if you if you you know,

907
00:52:17,640 --> 00:52:20,600
Speaker 1: pack me in with the mob in the media. I'm

908
00:52:20,640 --> 00:52:22,920
Speaker 1: not the mob in the media. That's Those are the

909
00:52:22,960 --> 00:52:27,880
Speaker 1: people that lie in and Besmirgeander, and those are the

910
00:52:27,880 --> 00:52:31,400
Speaker 1: ones that pedal conspiracy theories go ahead. Yes, no, that

911
00:52:31,560 --> 00:52:33,400
Speaker 1: is not what I was saying at all. I'm saying

912
00:52:33,440 --> 00:52:36,279
Speaker 1: that you get tips about information that I might be

913
00:52:36,360 --> 00:52:39,520
Speaker 1: getting before I get it. That's what I was saying. Well,

914
00:52:39,560 --> 00:52:43,840
Speaker 1: there's some truth to that. Actually, I think I have um,

915
00:52:43,880 --> 00:52:45,680
Speaker 1: there is a little truth to that. I have some

916
00:52:46,000 --> 00:52:49,520
Speaker 1: we have good sources, John Solomon, don't we Yes, we've

917
00:52:49,520 --> 00:52:51,759
Speaker 1: been pleading. That's true. By the way, one day they're

918
00:52:51,800 --> 00:52:53,680
Speaker 1: going to put us under oath and demand we give

919
00:52:53,719 --> 00:52:56,000
Speaker 1: up our sources. I'm not. I'm not giving up anything.

920
00:52:56,040 --> 00:52:59,440
Speaker 1: I'm gonna follow this Dallas from that, I'll defend you

921
00:52:59,480 --> 00:53:02,840
Speaker 1: from that. Well, they put this poor woman salon on

922
00:53:02,960 --> 00:53:05,800
Speaker 1: her in jail and Dallas because she opened her shop

923
00:53:05,840 --> 00:53:08,799
Speaker 1: to feed her family, and you know, they acting like

924
00:53:08,880 --> 00:53:11,960
Speaker 1: it's apologizer, You're going to jail, they said, her to

925
00:53:12,040 --> 00:53:16,279
Speaker 1: jail Greece. Well, fortunately the Attorney General of Texas and

926
00:53:16,400 --> 00:53:19,560
Speaker 1: the governor of Texas just told them to let her out.

927
00:53:19,960 --> 00:53:22,680
Speaker 1: She's not out yet. According to reports, she needs to

928
00:53:22,680 --> 00:53:25,799
Speaker 1: get out. Yes, yeah, she needs to be out immediately.

929
00:53:26,200 --> 00:53:29,040
Speaker 1: But you know, we've got more information now that General

930
00:53:29,080 --> 00:53:32,240
Speaker 1: Flynn was totally set up what we've said all along,

931
00:53:32,320 --> 00:53:34,640
Speaker 1: because we knew he was honest with the agents the

932
00:53:34,800 --> 00:53:37,240
Speaker 1: entire time. He knew he was honest with the agents.

933
00:53:37,680 --> 00:53:41,919
Speaker 1: They literally framed him for what they wanted to make

934
00:53:42,040 --> 00:53:44,560
Speaker 1: up against him. That's what they did. They just made

935
00:53:44,560 --> 00:53:48,359
Speaker 1: it all up. And it's now time to start prosecuting

936
00:53:48,400 --> 00:53:51,520
Speaker 1: the prosecutors. This cannot continue to go on. The Department

937
00:53:51,560 --> 00:53:55,720
Speaker 1: of Justice looks worse every minute it delays dismissing this case.

938
00:53:56,960 --> 00:54:00,520
Speaker 1: John Solomon, there's another aspect of this that is merging,

939
00:54:00,560 --> 00:54:04,360
Speaker 1: and we should have this information either by airtime tonight

940
00:54:04,400 --> 00:54:09,400
Speaker 1: on Hannity or tomorrow, and that is that Adam Schiff's

941
00:54:09,880 --> 00:54:13,840
Speaker 1: spectacular lies are about to be exposed in a pretty

942
00:54:13,880 --> 00:54:17,799
Speaker 1: profound way. Tell us, yeah, listen up on Just the

943
00:54:17,840 --> 00:54:19,880
Speaker 1: News right now. Just a few minutes ago, I spent

944
00:54:20,400 --> 00:54:23,839
Speaker 1: more than fifteen hours going through every videotape interview that

945
00:54:23,880 --> 00:54:25,960
Speaker 1: Adam Schiff ever did, every statement he made in the

946
00:54:25,960 --> 00:54:29,600
Speaker 1: Congressional record, every Congressional document he wrote, in every newspaper

947
00:54:29,640 --> 00:54:32,279
Speaker 1: interview he gave. And what I do is I point

948
00:54:32,320 --> 00:54:35,560
Speaker 1: out that because of the classification, we now know that

949
00:54:35,600 --> 00:54:40,080
Speaker 1: Adam Schift routinely misstated the facts in the Russia case

950
00:54:40,560 --> 00:54:44,279
Speaker 1: imposed upon the American people, Russian disinformation he read into

951
00:54:44,320 --> 00:54:47,239
Speaker 1: the Congressional record, the part of the Steel dossier that

952
00:54:47,280 --> 00:54:51,080
Speaker 1: the intelligence community has concluded came from Russian intelligence services

953
00:54:51,120 --> 00:54:55,360
Speaker 1: as a disinformation campaign. So I go through painstakingly, line

954
00:54:55,400 --> 00:54:57,480
Speaker 1: by line of the things that Adam Schiff imposed on

955
00:54:57,560 --> 00:55:00,839
Speaker 1: us on television and Congress in the newspaper, and I

956
00:55:00,880 --> 00:55:04,560
Speaker 1: give people the American truth how much he gave us

957
00:55:04,640 --> 00:55:10,800
Speaker 1: false disinformation Russian disinformation all throughout twenty seventeen, twenty eighteen,

958
00:55:10,800 --> 00:55:13,680
Speaker 1: and twenty nineteen. It's a two thousand words story with

959
00:55:13,719 --> 00:55:17,440
Speaker 1: about twelve really strong, powerful examples of Adam Schiff now

960
00:55:17,480 --> 00:55:21,000
Speaker 1: being debunked by the classification. So, in other words, what

961
00:55:21,040 --> 00:55:26,000
Speaker 1: you're saying is this declassification effort exposes the fact that

962
00:55:26,040 --> 00:55:28,919
Speaker 1: what he was saying publicly he knew was a lie.

963
00:55:30,000 --> 00:55:31,879
Speaker 1: He either knew or should have known. Right, he could

964
00:55:31,880 --> 00:55:35,040
Speaker 1: have gone to the ranking member of the House Intelligence

965
00:55:35,040 --> 00:55:37,160
Speaker 1: can then the chairman. He could have gotten a briefing

966
00:55:37,160 --> 00:55:39,759
Speaker 1: and found out. Rather than find out the truth, he

967
00:55:39,960 --> 00:55:43,680
Speaker 1: just read knowing falsehood into the congressional record. I mean,

968
00:55:43,719 --> 00:55:45,040
Speaker 1: when we go back and we look at what he

969
00:55:45,080 --> 00:55:48,760
Speaker 1: said at the time, it's embarrassing to read the FBI

970
00:55:48,880 --> 00:55:52,840
Speaker 1: followed all the fiser procedures, know they didn't. Christopher Steele's

971
00:55:52,840 --> 00:55:55,560
Speaker 1: claimed that Carter Page met with the Russian named Egor

972
00:55:55,640 --> 00:55:58,359
Speaker 1: Session is credible. No, it isn't. It was debunked by

973
00:55:58,360 --> 00:56:01,319
Speaker 1: the time Adam Schiff said it, and so we go

974
00:56:01,440 --> 00:56:03,120
Speaker 1: time by that. I think the headline says it all.

975
00:56:03,760 --> 00:56:05,680
Speaker 1: My headline on the story is Adam Schiff is the

976
00:56:05,719 --> 00:56:09,480
Speaker 1: biggest loser of Russia. The classification. It's an eight minute

977
00:56:09,480 --> 00:56:12,920
Speaker 1: read when you get to read time on it, and

978
00:56:13,000 --> 00:56:15,600
Speaker 1: that's a fascinating one. You know, Sydney, go through the

979
00:56:15,640 --> 00:56:18,920
Speaker 1: list that I was just mentioning here. It's and I'm

980
00:56:18,920 --> 00:56:21,800
Speaker 1: serious about all of this because you got General Flynn,

981
00:56:21,840 --> 00:56:24,839
Speaker 1: who you're representing. You've got the congenital liar, this guy,

982
00:56:24,920 --> 00:56:29,320
Speaker 1: You've got you know nothing. The President's travel band saved

983
00:56:29,360 --> 00:56:32,200
Speaker 1: incalculable numbers of lives. You'll listen to the medium mob.

984
00:56:32,200 --> 00:56:34,359
Speaker 1: There's nothing he could do right, he saved New York.

985
00:56:34,360 --> 00:56:36,800
Speaker 1: He gets no credit. The guys that threw people in

986
00:56:36,920 --> 00:56:38,960
Speaker 1: nursing homes in New York and get all the credit.

987
00:56:39,080 --> 00:56:42,279
Speaker 1: And literally that led to many people's deaths. That's where

988
00:56:42,320 --> 00:56:45,000
Speaker 1: most of the death in terms of percentage, came from

989
00:56:45,000 --> 00:56:48,600
Speaker 1: in New York. Then you've got okay, impeached Trump or

990
00:56:48,600 --> 00:56:51,400
Speaker 1: a quid pro quo, But you ignore what Joe's bragging

991
00:56:51,440 --> 00:56:54,279
Speaker 1: about when he says, fire the prosecutor or you're not

992
00:56:54,320 --> 00:56:58,600
Speaker 1: getting a billion Russian interference matters, but not Hillary's dirty

993
00:56:58,680 --> 00:57:03,520
Speaker 1: Russian dossier that was then used which is unverifiable now

994
00:57:03,600 --> 00:57:07,000
Speaker 1: debunked as the basis to spy on a presidential candidate,

995
00:57:07,000 --> 00:57:10,560
Speaker 1: transition team and presidency. These are not small things. What

996
00:57:10,640 --> 00:57:15,320
Speaker 1: they did to Roger Stone, General Flynn, Paul Manafort, Papadopoulos

997
00:57:15,680 --> 00:57:18,960
Speaker 1: and everybody in between. They knew, you know, how do

998
00:57:18,960 --> 00:57:22,360
Speaker 1: you have a corrupt jury four person and not overturn

999
00:57:22,400 --> 00:57:25,520
Speaker 1: a guilty verdict in that case for example. There's so

1000
00:57:25,600 --> 00:57:29,040
Speaker 1: much of this corruption nobody seems to want to talk

1001
00:57:29,080 --> 00:57:33,440
Speaker 1: about it, but a very small percentage of us. I know, Sean,

1002
00:57:33,560 --> 00:57:36,320
Speaker 1: I mean, you've been at the forefront of exposing these

1003
00:57:36,400 --> 00:57:40,760
Speaker 1: absolutely outrageous abuses of power and frankly criminal conduct Bob

1004
00:57:40,840 --> 00:57:45,520
Speaker 1: government officials for what four years now at least pretty much,

1005
00:57:45,680 --> 00:57:49,200
Speaker 1: and John and Sarah, and you know, there's what maybe

1006
00:57:49,240 --> 00:57:54,200
Speaker 1: twenty thirty people that have been trying oh, vict Yeah,

1007
00:57:54,480 --> 00:57:56,320
Speaker 1: I mean I can't name everybody, but there's not a

1008
00:57:56,320 --> 00:58:01,320
Speaker 1: lot of us, right, But the people are catching on.

1009
00:58:01,680 --> 00:58:05,440
Speaker 1: They are watching this they're watching the Flynn case very closely,

1010
00:58:05,600 --> 00:58:08,480
Speaker 1: and I mean, I don't even think the Department of

1011
00:58:08,560 --> 00:58:12,440
Speaker 1: Justice understands how much damage it's doing to itself the

1012
00:58:12,560 --> 00:58:16,240
Speaker 1: longer it takes to dismiss this case. I mean, the

1013
00:58:16,320 --> 00:58:19,800
Speaker 1: people are outraged right now. I guess those people who

1014
00:58:19,800 --> 00:58:22,600
Speaker 1: live in Washington just don't get it. But I live

1015
00:58:22,640 --> 00:58:25,320
Speaker 1: out in the heartland of America where you know, they're

1016
00:58:25,360 --> 00:58:29,400
Speaker 1: real people out there paying attention, and they are livid,

1017
00:58:29,600 --> 00:58:33,320
Speaker 1: absolutely livid over what's happened to General Flynn. And it

1018
00:58:33,360 --> 00:58:37,240
Speaker 1: only gets worse every day the Department drags this out. Well,

1019
00:58:37,440 --> 00:58:40,680
Speaker 1: you know, I asked you the question recently about Director

1020
00:58:40,760 --> 00:58:43,920
Speaker 1: Ray and you said that in License to Lie, and

1021
00:58:43,960 --> 00:58:47,040
Speaker 1: it's been some time since I've thumbed through it that

1022
00:58:47,120 --> 00:58:50,160
Speaker 1: you describe the relationship with Ray and Andrew Weisman. And

1023
00:58:50,200 --> 00:58:52,960
Speaker 1: I got pushback when you had said that, So that's

1024
00:58:53,040 --> 00:58:55,320
Speaker 1: not true. That's absolutely not true, and I wanted to

1025
00:58:55,400 --> 00:58:59,400
Speaker 1: go back and ask you again about it. Yeah, it's

1026
00:58:59,480 --> 00:59:01,840
Speaker 1: not in since Ali, but it's in an article that

1027
00:59:01,880 --> 00:59:05,560
Speaker 1: I wrote shortly after Ray was appointed. He was Weissman's

1028
00:59:05,600 --> 00:59:08,880
Speaker 1: supervisor in the Department of Justice when Weisman was head

1029
00:59:08,880 --> 00:59:12,240
Speaker 1: of the Enron Task Force and committed all the atrocities

1030
00:59:12,280 --> 00:59:15,920
Speaker 1: against at least a hundred people in Houston, and destroyed

1031
00:59:16,040 --> 00:59:19,520
Speaker 1: Arthur Anderson an eighty five thousand jobs for nothing, sent

1032
00:59:19,600 --> 00:59:23,240
Speaker 1: four Maryland executives to prison on an indictment that criminalized

1033
00:59:23,280 --> 00:59:26,480
Speaker 1: an innocent business transaction, and hid the evidence that showed

1034
00:59:26,520 --> 00:59:30,720
Speaker 1: they were innocent for six years. He was responsible for

1035
00:59:30,760 --> 00:59:34,360
Speaker 1: all of that. I mean, he just violated everyone's rights

1036
00:59:34,880 --> 00:59:37,720
Speaker 1: every which way in Houston. And they're people that tell

1037
00:59:37,760 --> 00:59:40,720
Speaker 1: me they still have nightmares about the way he was treated.

1038
00:59:40,760 --> 00:59:44,600
Speaker 1: He threatened witnesses, he intimidated people in front of the

1039
00:59:44,680 --> 00:59:49,439
Speaker 1: grand jury. It was outrageous. John Solomon, I mean, these

1040
00:59:49,480 --> 00:59:52,520
Speaker 1: are the people that they got awfully close to their goal,

1041
00:59:52,600 --> 00:59:55,720
Speaker 1: didn't they They did, And listen, if it wasn't for

1042
00:59:55,760 --> 00:59:59,600
Speaker 1: the good work of people like Sydney Poum and Devin Juniez,

1043
01:00:00,080 --> 01:00:02,400
Speaker 1: your bullhorn shorn being able to use your show and

1044
01:00:02,520 --> 01:00:05,760
Speaker 1: your media context to get this story out, they probably

1045
01:00:05,800 --> 01:00:08,800
Speaker 1: would have succeeded. And I think now what we have

1046
01:00:08,840 --> 01:00:10,840
Speaker 1: to do is make sure the entire story is told

1047
01:00:10,880 --> 01:00:13,800
Speaker 1: to its last word so that no one has ever

1048
01:00:13,880 --> 01:00:15,880
Speaker 1: tempted again to try this, and that it's up to

1049
01:00:15,880 --> 01:00:18,080
Speaker 1: Attorney General Barr and John Durham to make sure that

1050
01:00:18,120 --> 01:00:21,320
Speaker 1: people are punished, to create the determined that this doesn't

1051
01:00:21,360 --> 01:00:23,560
Speaker 1: happen again in the future as well. That ought to

1052
01:00:23,560 --> 01:00:25,440
Speaker 1: be our goal. We got to finish what we started

1053
01:00:25,480 --> 01:00:27,720
Speaker 1: so that this there's never a temptation to do what

1054
01:00:27,760 --> 01:00:29,560
Speaker 1: they did here ever, So tomorrow is going to be

1055
01:00:29,640 --> 01:00:35,760
Speaker 1: a big newsday. Can I predict that with certainty? It's here? Well?

1056
01:00:35,800 --> 01:00:37,360
Speaker 1: When is in that way? I mean there's a lot

1057
01:00:37,360 --> 01:00:40,120
Speaker 1: of talk about some more comications, no more about this

1058
01:00:42,040 --> 01:00:44,600
Speaker 1: is it? When is the Judge Sullivan going to vacate

1059
01:00:44,680 --> 01:00:47,800
Speaker 1: this thing? Sidney, I don't know what's taken up Solo. Well,

1060
01:00:47,840 --> 01:00:51,360
Speaker 1: the government's response to our supplemental motion to dismiss as

1061
01:00:51,440 --> 01:00:54,680
Speaker 1: due Monday if they have any sin. They also have

1062
01:00:54,720 --> 01:00:57,400
Speaker 1: a status report due Friday at noon. I mean that

1063
01:00:57,400 --> 01:01:01,880
Speaker 1: would be the latest which they ought to dismissed this case.

1064
01:01:02,520 --> 01:01:06,440
Speaker 1: Great work, We're waiting, and you know where does General

1065
01:01:06,480 --> 01:01:08,720
Speaker 1: Flynn go to get his good name back? And all

1066
01:01:08,760 --> 01:01:10,480
Speaker 1: these other good people where do they go to get

1067
01:01:10,520 --> 01:01:14,240
Speaker 1: their good names back? Thank you both, great work, Sidney Powell,

1068
01:01:14,360 --> 01:01:35,360
Speaker 1: John Solomon, all right, news round up, Information overload our

1069
01:01:35,600 --> 01:01:39,040
Speaker 1: simple man. That means one thing and one thing only,

1070
01:01:39,080 --> 01:01:42,040
Speaker 1: and that is the not simple man, simple man Bill

1071
01:01:42,080 --> 01:01:45,919
Speaker 1: O'Reilly himself all things O'Reilly Bill, O'Reilly dot com Sir,

1072
01:01:46,000 --> 01:01:53,800
Speaker 1: how are you doing? I'm practicing simplicity the manhasset bay here,

1073
01:01:54,200 --> 01:01:59,000
Speaker 1: oh nice sheltering him. Did you get the antibody test

1074
01:01:59,040 --> 01:02:00,640
Speaker 1: at the dock in the box? It's like I did?

1075
01:02:01,360 --> 01:02:05,240
Speaker 1: I did? You know I should though, that was smart

1076
01:02:05,240 --> 01:02:09,840
Speaker 1: of you to get that test. Well, I went there, right, Yeah,

1077
01:02:09,120 --> 01:02:11,720
Speaker 1: I'm fine, but I went there, but I was not

1078
01:02:11,760 --> 01:02:13,640
Speaker 1: going to get the test of other people needed it,

1079
01:02:13,680 --> 01:02:17,720
Speaker 1: but there was nobody there. Did it hurt? No, it's

1080
01:02:17,760 --> 01:02:23,000
Speaker 1: a needle, Bill, a little a little bit of blood. Jeez,

1081
01:02:24,080 --> 01:02:26,760
Speaker 1: do you have you've seen some of my workout videos?

1082
01:02:26,800 --> 01:02:29,000
Speaker 1: You know the pain day is? What is? What that's

1083
01:02:29,040 --> 01:02:32,040
Speaker 1: all about? All Right? I have a serious question and

1084
01:02:32,120 --> 01:02:34,960
Speaker 1: I want you. I want your simple analysis of this.

1085
01:02:35,000 --> 01:02:38,520
Speaker 1: Although it's pretty complicated in a way, in some ways,

1086
01:02:38,800 --> 01:02:42,720
Speaker 1: my heart is troubled. I see a country in many

1087
01:02:42,760 --> 01:02:47,800
Speaker 1: ways teetering on the brink of all out madness. It

1088
01:02:47,840 --> 01:02:53,080
Speaker 1: doesn't matter what Donald Trump does in terms of the

1089
01:02:53,600 --> 01:02:58,120
Speaker 1: travel ban, the quarantines, building hospitals getting enough ventilators and

1090
01:02:58,240 --> 01:03:01,640
Speaker 1: all the supplies, etc. All of these people in the

1091
01:03:01,680 --> 01:03:05,640
Speaker 1: Democratic Party they hate him. They'll never say he did

1092
01:03:05,760 --> 01:03:09,560
Speaker 1: one thing well at all. Now you can compare that

1093
01:03:09,600 --> 01:03:13,080
Speaker 1: Governor Cuomo. Doesn't matter that he didn't listen to his

1094
01:03:13,160 --> 01:03:16,360
Speaker 1: task force or Comrade de Blasio, he didn't listen. They

1095
01:03:16,360 --> 01:03:19,080
Speaker 1: didn't buy the ventilators, they didn't prepare both of them.

1096
01:03:19,080 --> 01:03:22,120
Speaker 1: In early March, we're telling us go out on the town.

1097
01:03:22,240 --> 01:03:24,680
Speaker 1: De Blasio saying, oh, where New York is? We have

1098
01:03:24,760 --> 01:03:27,640
Speaker 1: this handle, Cuomo saying, but it was Donald Trump that

1099
01:03:27,680 --> 01:03:30,959
Speaker 1: bailed New York out in this. And it's not just this,

1100
01:03:31,400 --> 01:03:34,600
Speaker 1: but and they get praised to the hilt the level

1101
01:03:34,680 --> 01:03:40,880
Speaker 1: of hypocrisy on every single issue, whether it be I believe,

1102
01:03:41,240 --> 01:03:45,440
Speaker 1: but not if it's against Joe Biden or a quid

1103
01:03:45,440 --> 01:03:49,800
Speaker 1: pro quo, but not if it's Joe Biden withholding money

1104
01:03:49,880 --> 01:03:54,600
Speaker 1: for zero experienced son, it's Russia, but not the Hilary

1105
01:03:54,720 --> 01:04:01,440
Speaker 1: dirty dossier. There is. This is now a high level collusion,

1106
01:04:01,520 --> 01:04:05,160
Speaker 1: if you will, between Democrats, and they're willing accomplices in

1107
01:04:05,200 --> 01:04:08,640
Speaker 1: the media. Mob up is down, Bill down is up.

1108
01:04:09,240 --> 01:04:12,040
Speaker 1: You know, Purple is pink or purple is blue and

1109
01:04:12,120 --> 01:04:16,840
Speaker 1: blue is purple. Everything's backwards. There's no honesty anymore. Bill,

1110
01:04:17,320 --> 01:04:22,480
Speaker 1: They have chosen sides and they lie with a bandit sure,

1111
01:04:23,240 --> 01:04:26,880
Speaker 1: and an interesting op ed in the Wall Street Journal

1112
01:04:27,440 --> 01:04:31,440
Speaker 1: today and the writer basically says that the New York

1113
01:04:31,520 --> 01:04:33,680
Speaker 1: Daily News, it's not a major factor in the media

1114
01:04:33,800 --> 01:04:38,600
Speaker 1: going out of business soon lied about the clorox ingesting

1115
01:04:38,760 --> 01:04:42,840
Speaker 1: story and then tried to panic New Yorkers by saying, well,

1116
01:04:42,880 --> 01:04:47,080
Speaker 1: this could lead to people actually ingesting substances that would

1117
01:04:47,080 --> 01:04:51,120
Speaker 1: harm them. So this writer he investigated was not one,

1118
01:04:51,680 --> 01:04:57,120
Speaker 1: not one complaint or call in about anybody ingesting anything

1119
01:04:57,160 --> 01:05:01,560
Speaker 1: in eighteen hours after the President asked a question about

1120
01:05:01,600 --> 01:05:05,360
Speaker 1: should we research this kind of stuff? So you're absolutely right.

1121
01:05:05,440 --> 01:05:10,640
Speaker 1: But it comes down to this that the media, members

1122
01:05:10,640 --> 01:05:14,160
Speaker 1: of the media and the corporations that run them, Hannity

1123
01:05:14,760 --> 01:05:19,160
Speaker 1: is very important, have made the decision that the end

1124
01:05:19,160 --> 01:05:26,720
Speaker 1: getting rid of Donald Trump justifies the means. That means lies, distortions, smears,

1125
01:05:27,360 --> 01:05:33,120
Speaker 1: ignoring facts that might help Donald Trump. So the end

1126
01:05:33,200 --> 01:05:38,240
Speaker 1: justifies the means, and they believe it, firmly believe it.

1127
01:05:38,320 --> 01:05:41,160
Speaker 1: Some almost like the Crusades. Remember when the Christians in

1128
01:05:41,200 --> 01:05:43,560
Speaker 1: Europe went over and they said, look, we're going to

1129
01:05:43,720 --> 01:05:47,800
Speaker 1: slaughter everybody in the Holy Land because it's justified, because

1130
01:05:47,840 --> 01:05:51,160
Speaker 1: we want to take back Jerusalem. So I'm gonna kill everybody.

1131
01:05:51,240 --> 01:05:54,360
Speaker 1: The end justifies the means. And that's what we're seeing

1132
01:05:54,400 --> 01:05:59,800
Speaker 1: in America. Very dangerous. There's no sense of honor decency

1133
01:06:00,200 --> 01:06:03,640
Speaker 1: in any of these debates. Bill, I mean it is now.

1134
01:06:04,680 --> 01:06:08,120
Speaker 1: For example, I could say, you know, find something good

1135
01:06:08,160 --> 01:06:10,280
Speaker 1: to say about Barack Obama. I think it is a

1136
01:06:10,280 --> 01:06:12,720
Speaker 1: good father. I don't like his policies. I think he

1137
01:06:12,800 --> 01:06:17,000
Speaker 1: hung out with radicals. All that there's this is now.

1138
01:06:17,640 --> 01:06:22,880
Speaker 1: This is rage psychosis and a level of group think

1139
01:06:23,280 --> 01:06:28,040
Speaker 1: madness where they refuse to tell any truth. Everything Trump

1140
01:06:28,080 --> 01:06:32,280
Speaker 1: does is bad, everything Democrats do is fine. And you

1141
01:06:32,320 --> 01:06:37,440
Speaker 1: know what, that's a really excellent word. You use, a rage,

1142
01:06:38,600 --> 01:06:40,640
Speaker 1: because that's what it is. And it's not only a

1143
01:06:40,680 --> 01:06:44,600
Speaker 1: rage against Donald Trump but anyone who supports him, anyone,

1144
01:06:45,040 --> 01:06:48,120
Speaker 1: and that's what this pandemic. Oh, nobody can go out

1145
01:06:48,120 --> 01:06:51,640
Speaker 1: of their house. Movement is all about punish the Trump

1146
01:06:51,720 --> 01:06:54,920
Speaker 1: supporters because people who are lobbying to get back to

1147
01:06:54,960 --> 01:06:59,400
Speaker 1: work are primarily Republicans and Conservatives, So we have to

1148
01:06:59,440 --> 01:07:02,560
Speaker 1: punish them by forcing them to stay inside the house.

1149
01:07:02,560 --> 01:07:05,240
Speaker 1: That's what Whitmer did the governor of Michigan. And then

1150
01:07:05,280 --> 01:07:08,160
Speaker 1: she lied about the demonstrators, and you were absolutely right.

1151
01:07:08,200 --> 01:07:11,240
Speaker 1: You don't bring guns to a demonstration. So anybody listening

1152
01:07:11,240 --> 01:07:13,760
Speaker 1: to the Hannay radio program right now, if you bring

1153
01:07:13,800 --> 01:07:17,120
Speaker 1: a gun to a demonstration, you hurt your cause, you

1154
01:07:17,240 --> 01:07:20,600
Speaker 1: marginalize what you want to do. But Whitmer basically said, oh,

1155
01:07:20,720 --> 01:07:24,320
Speaker 1: all these people had Nazi flags and Confederate flags and

1156
01:07:24,440 --> 01:07:27,360
Speaker 1: all of this, which was a total lie. There was

1157
01:07:27,480 --> 01:07:31,480
Speaker 1: one Nazi flag and it said, Hyle Whitmer, that's all

1158
01:07:31,520 --> 01:07:33,720
Speaker 1: I saw. I looked hard. I like you. I look

1159
01:07:33,840 --> 01:07:37,960
Speaker 1: I looked. We researched it two it's like, okay, that's

1160
01:07:38,000 --> 01:07:41,000
Speaker 1: the only thing we found. That was it. So Whitmer lies,

1161
01:07:41,960 --> 01:07:47,520
Speaker 1: lies about her opposition, and her policies obviously speak for themselves.

1162
01:07:47,560 --> 01:07:49,400
Speaker 1: She will not be reelected and she will not be

1163
01:07:49,480 --> 01:07:52,680
Speaker 1: Biden's running mate, and she would have been Biden's running

1164
01:07:52,720 --> 01:07:55,440
Speaker 1: me had she not done this. But it is a rage,

1165
01:07:55,640 --> 01:07:59,680
Speaker 1: and it's it's extending into every part of our society. Now.

1166
01:08:00,040 --> 01:08:02,880
Speaker 1: It's just like the media, Okay, we can walk away.

1167
01:08:03,160 --> 01:08:06,960
Speaker 1: You can't walk away anymore because it extends into your job,

1168
01:08:07,560 --> 01:08:11,920
Speaker 1: your taxes, your ability to buy things and move around,

1169
01:08:12,320 --> 01:08:15,400
Speaker 1: all of it. Get Trump, make sure Trump is harmed,

1170
01:08:15,960 --> 01:08:19,520
Speaker 1: actually is now harming every American, not just Trump supporters.

1171
01:08:20,160 --> 01:08:22,360
Speaker 1: It's almost like when you think of all we've been

1172
01:08:22,360 --> 01:08:26,360
Speaker 1: through Russia, Russia, Ukraine, Ukraine, and you know, there was

1173
01:08:26,479 --> 01:08:29,200
Speaker 1: Russian influence, it was a dacier, Hillary paid for it.

1174
01:08:29,280 --> 01:08:32,799
Speaker 1: There was obstruction, it was Hillary's email, there was Ukraine.

1175
01:08:32,800 --> 01:08:35,760
Speaker 1: It was quid pro quo Joe there. And now it's

1176
01:08:36,120 --> 01:08:40,240
Speaker 1: almost like it doesn't matter. You know, all these people

1177
01:08:40,320 --> 01:08:43,439
Speaker 1: were impeaching Donald Trump, and ten days after the first

1178
01:08:43,720 --> 01:08:48,320
Speaker 1: identified case of coronavirus in this country, they weren't saying

1179
01:08:48,360 --> 01:08:50,760
Speaker 1: anything about it. Donald Trump was putting in place the

1180
01:08:50,800 --> 01:08:54,559
Speaker 1: travel band controversial. He was attacked for it, followed by

1181
01:08:54,600 --> 01:08:58,000
Speaker 1: the first quarantine in what fifty plus years, followed by

1182
01:08:58,040 --> 01:09:03,800
Speaker 1: subsequent travel bands, followed by the biggest medical mobilization in

1183
01:09:03,840 --> 01:09:07,200
Speaker 1: the history of mankind. But what I'm seeing, Bill is

1184
01:09:07,240 --> 01:09:12,400
Speaker 1: if they can convince everybody or the public staying on message,

1185
01:09:12,640 --> 01:09:17,880
Speaker 1: psychotic rage, group think, don't deviate and convince the American people,

1186
01:09:17,880 --> 01:09:20,840
Speaker 1: he has no ability to do a single good thing

1187
01:09:21,680 --> 01:09:25,360
Speaker 1: and not recognize where the economy was before all of this.

1188
01:09:25,920 --> 01:09:28,320
Speaker 1: Then they think they win, and this for them is

1189
01:09:28,320 --> 01:09:31,280
Speaker 1: about power. Now, behind all of this, we have a

1190
01:09:31,320 --> 01:09:34,320
Speaker 1: lot of agenda items that they're pushing and none of

1191
01:09:34,360 --> 01:09:41,320
Speaker 1: them represent anything that resembles capitalism in any way. Well,

1192
01:09:41,600 --> 01:09:44,800
Speaker 1: the big thing is an all Americans should understand this.

1193
01:09:45,600 --> 01:09:49,160
Speaker 1: There is a fourth stimulus bill in motion, but the

1194
01:09:49,240 --> 01:09:52,799
Speaker 1: Republicans say they're not going to vote for it unless

1195
01:09:52,840 --> 01:09:56,799
Speaker 1: the Democrats put in a provision that you can't sue

1196
01:09:57,439 --> 01:10:04,360
Speaker 1: over coronavirus. Now, Cuomo doesn't want anybody suing over coronavirus

1197
01:10:04,400 --> 01:10:08,800
Speaker 1: because they're going to sue him over the unbelievable debacle

1198
01:10:08,960 --> 01:10:14,160
Speaker 1: in New York State's nursing homes, which it led to before.

1199
01:10:14,160 --> 01:10:16,800
Speaker 1: It's all over tens of thousands of deaths because those

1200
01:10:16,880 --> 01:10:19,519
Speaker 1: nursing homes are a disgrace, and he's in charge of

1201
01:10:19,560 --> 01:10:22,840
Speaker 1: that bill. There's another level of this, you're you're right,

1202
01:10:22,920 --> 01:10:26,400
Speaker 1: and I mentioned this earlier, and that is it doesn't

1203
01:10:26,439 --> 01:10:30,120
Speaker 1: matter how how he bots this thing up so bad,

1204
01:10:30,600 --> 01:10:35,000
Speaker 1: putting COVID patients in nursing homes and executive order mandating

1205
01:10:35,040 --> 01:10:38,040
Speaker 1: they take them while took them back right, so they

1206
01:10:38,040 --> 01:10:40,439
Speaker 1: had the Javit center in the in the country. Let

1207
01:10:40,479 --> 01:10:43,360
Speaker 1: me make my bigger point, So the Republicans are basically

1208
01:10:43,360 --> 01:10:45,720
Speaker 1: saying we're not going to give any more money to

1209
01:10:45,760 --> 01:10:49,759
Speaker 1: anybody unless we pass legislation and says you can't sue

1210
01:10:49,880 --> 01:10:53,799
Speaker 1: over the COVID because they're already lined up the blood

1211
01:10:53,880 --> 01:10:58,920
Speaker 1: sucking extortionist lawyers who are really getting hammered in the

1212
01:10:59,479 --> 01:11:03,080
Speaker 1: virus contagion because they can't make any money, they can't

1213
01:11:03,080 --> 01:11:05,799
Speaker 1: shake anybody down because many of the courts are closed.

1214
01:11:06,080 --> 01:11:11,600
Speaker 1: They're lined up to sue school districts, small business, big business,

1215
01:11:11,680 --> 01:11:16,160
Speaker 1: any business that reopens, or any school that reopens or college.

1216
01:11:16,400 --> 01:11:20,360
Speaker 1: If anybody gets the virus, these bloodsuckers are going to

1217
01:11:20,439 --> 01:11:24,760
Speaker 1: come in and sue, and that's going to cost the

1218
01:11:24,920 --> 01:11:29,800
Speaker 1: people that consumers the businesses trillions of dollars unless you

1219
01:11:30,000 --> 01:11:34,800
Speaker 1: stop that, and Congress there is McConnell is saying, look,

1220
01:11:34,960 --> 01:11:38,840
Speaker 1: we can't have a reopening of the nation if the

1221
01:11:38,880 --> 01:11:43,080
Speaker 1: blood sucking extortionist lawyers are going to sue everybody who

1222
01:11:43,120 --> 01:11:46,519
Speaker 1: reopens because they don't have to prove somebody got corona,

1223
01:11:46,760 --> 01:11:49,679
Speaker 1: they just have to accuse. And then it goes into

1224
01:11:49,720 --> 01:11:53,040
Speaker 1: the system and cost hundreds of thousands of dollars to litigate,

1225
01:11:53,920 --> 01:11:59,240
Speaker 1: and Pelosi and Schumer, Oh no, no, no, why because

1226
01:11:59,240 --> 01:12:03,440
Speaker 1: the lawyer lies gives a Democratic party hundreds of millions

1227
01:12:03,479 --> 01:12:08,440
Speaker 1: of dollars, That's why. And do you think most Americans

1228
01:12:08,600 --> 01:12:12,200
Speaker 1: know this? They don't know it. And this is in

1229
01:12:12,360 --> 01:12:17,040
Speaker 1: play right this second, the battle over reopening and reopening

1230
01:12:17,080 --> 01:12:19,920
Speaker 1: the country safely. Bill O'Reilly, I mean, I know you

1231
01:12:19,960 --> 01:12:24,559
Speaker 1: saw this poor lady in Dallas, the salon owner, and

1232
01:12:24,760 --> 01:12:28,679
Speaker 1: you know Judge saying, well, you must apologize. You better

1233
01:12:28,720 --> 01:12:32,559
Speaker 1: apologize where I'm sending you to jail. You owe an

1234
01:12:32,600 --> 01:12:39,000
Speaker 1: apology to elected officials who you disrespected by flagrantly ignoring

1235
01:12:39,040 --> 01:12:44,200
Speaker 1: and in one case, defiling their orders. Okay, the lady said,

1236
01:12:44,880 --> 01:12:47,040
Speaker 1: feeding my kids is not selfish. Let me play it

1237
01:12:47,080 --> 01:12:49,000
Speaker 1: for you. I would like to say that I have

1238
01:12:49,080 --> 01:12:52,160
Speaker 1: much respect for this court and loss, and that I've

1239
01:12:52,200 --> 01:12:55,599
Speaker 1: never been in this position before and it's not someplace

1240
01:12:55,640 --> 01:12:58,960
Speaker 1: that I want to be. But I have to disagree

1241
01:12:58,960 --> 01:13:00,880
Speaker 1: with you, sir when I when you say that I'm

1242
01:13:00,880 --> 01:13:06,200
Speaker 1: selfish because feeding my kids is not selfish. I have

1243
01:13:06,320 --> 01:13:09,639
Speaker 1: hair stylists that are going hungry because they'd rather feed

1244
01:13:09,680 --> 01:13:12,760
Speaker 1: their kids. So, sir, if you think the law is

1245
01:13:12,840 --> 01:13:15,800
Speaker 1: more important than kids getting fed, then please go ahead

1246
01:13:15,840 --> 01:13:17,599
Speaker 1: with your decision. But I am not going to shut

1247
01:13:17,600 --> 01:13:19,760
Speaker 1: the salon. Do you know what this reminded me of?

1248
01:13:20,479 --> 01:13:24,200
Speaker 1: Braveheart went just before the Mel Gibson character got his

1249
01:13:24,280 --> 01:13:29,880
Speaker 1: head chopped off. The prisoner wishes to speak a wood

1250
01:13:30,640 --> 01:13:35,360
Speaker 1: and he yells out freedom. She held out freedom. Well,

1251
01:13:35,560 --> 01:13:38,639
Speaker 1: Jude makes a mistake when he says the proper way

1252
01:13:38,680 --> 01:13:41,479
Speaker 1: to go about this would to begin a lawyer and

1253
01:13:41,520 --> 01:13:43,600
Speaker 1: then litigate it because the woman's not going to be

1254
01:13:43,600 --> 01:13:46,720
Speaker 1: able to feed her kids because it'll take three years

1255
01:13:46,800 --> 01:13:50,840
Speaker 1: to litigate that. What that lady did was civil disobedience. Yep,

1256
01:13:50,960 --> 01:13:55,160
Speaker 1: that's what she did, all right. Now the judge absolutely

1257
01:13:55,320 --> 01:13:59,080
Speaker 1: has to say to her, Look, we can't have everybody

1258
01:13:59,120 --> 01:14:04,479
Speaker 1: make an individual decisions because that's anarchy. The law is

1259
01:14:04,600 --> 01:14:08,360
Speaker 1: in Dallas that you don't open. You defied the law. However,

1260
01:14:09,280 --> 01:14:15,240
Speaker 1: you are being civilly disobedient, and we respect that and

1261
01:14:15,280 --> 01:14:18,080
Speaker 1: we always have in this country. The Boston Tea Party

1262
01:14:18,120 --> 01:14:22,120
Speaker 1: was civil disobedience to their heroes, so that's what he

1263
01:14:22,200 --> 01:14:25,880
Speaker 1: should have done. I understand that the lady in Dallas

1264
01:14:25,960 --> 01:14:29,479
Speaker 1: needs a feed. She's probably desperate, but you've got to

1265
01:14:29,520 --> 01:14:33,840
Speaker 1: have some kind of order in a public safety disaster

1266
01:14:34,000 --> 01:14:37,439
Speaker 1: like we're facing. All right, Bill O'Reilly dot com, All

1267
01:14:37,479 --> 01:14:40,080
Speaker 1: things O'Reilly, all things simple Man, eight hundred and nine

1268
01:14:40,160 --> 01:14:42,920
Speaker 1: for one, Sean o'tellfrey telephone number of Bill's final thoughts

1269
01:14:42,920 --> 01:14:47,160
Speaker 1: when we get back Project Veritas exposing more fake news

1270
01:14:47,160 --> 01:14:49,320
Speaker 1: at the bottom of the hour. A right, final moments,

1271
01:14:49,360 --> 01:14:54,000
Speaker 1: Bill O'Reilly dot com. Mister O'Reilly, sir, Great to have

1272
01:14:54,040 --> 01:14:56,080
Speaker 1: you on. By the way, thank you. How does this

1273
01:14:56,200 --> 01:14:58,040
Speaker 1: play out in one hundred and eighty one days? I

1274
01:14:58,040 --> 01:15:02,280
Speaker 1: ask you the same last question every you know, I'd

1275
01:15:02,320 --> 01:15:04,160
Speaker 1: like to see President Trump show a little bit more

1276
01:15:04,240 --> 01:15:11,760
Speaker 1: leadership here. For example, on the stockpiling of masks and ventilators.

1277
01:15:11,320 --> 01:15:16,680
Speaker 1: He's blaming the Obama administration, okay, But the way to

1278
01:15:16,760 --> 01:15:18,840
Speaker 1: do that is not to say, well Obama did that.

1279
01:15:19,040 --> 01:15:22,240
Speaker 1: He didn't stockpile anything, which is absolutely true. The way

1280
01:15:22,240 --> 01:15:24,559
Speaker 1: to do that is to look into the camera and say, listen,

1281
01:15:26,080 --> 01:15:30,120
Speaker 1: no administration stockpiles because we as a country owed twenty

1282
01:15:30,120 --> 01:15:33,240
Speaker 1: five trillion dollars and we can't afford to stockpile anything,

1283
01:15:33,720 --> 01:15:37,280
Speaker 1: and we don't. And I'm sorry, but we did a

1284
01:15:37,280 --> 01:15:41,000
Speaker 1: fantastic job in two months getting up to speed and

1285
01:15:41,040 --> 01:15:43,519
Speaker 1: what we needed. And I'm doing the best I can

1286
01:15:43,760 --> 01:15:47,280
Speaker 1: for you to try to defeat this pandemic. Those kinds

1287
01:15:47,280 --> 01:15:51,080
Speaker 1: are very simple again, simple man, very simple statements. And

1288
01:15:51,160 --> 01:15:53,479
Speaker 1: as we discussed a couple of weeks ago, I'd like

1289
01:15:53,520 --> 01:15:55,799
Speaker 1: to see him get the professional sports up and running.

1290
01:15:56,280 --> 01:15:59,760
Speaker 1: He needs to get some niche issues and really go

1291
01:15:59,840 --> 01:16:04,280
Speaker 1: to town and succeed in making good things happen while

1292
01:16:04,320 --> 01:16:06,960
Speaker 1: we wait to the vaccine. That's what he needs to

1293
01:16:07,000 --> 01:16:10,040
Speaker 1: do to get reelected. Got to get the country open, Bill,

1294
01:16:10,400 --> 01:16:12,719
Speaker 1: and you go and do it safely, and there's ways

1295
01:16:12,760 --> 01:16:14,479
Speaker 1: to do it. We've learned a lot and we're going

1296
01:16:14,520 --> 01:16:17,799
Speaker 1: to learn more. All right, Bill O'Reilly, Bill O'Reilly dot com,

1297
01:16:18,280 --> 01:16:20,639
Speaker 1: all things simple man, Thanks for being with us. When

1298
01:16:20,680 --> 01:16:25,880
Speaker 1: we come back, James O'Keeffe exposing more fake news. This

1299
01:16:26,000 --> 01:16:29,160
Speaker 1: latest video will explain coming up next. All right, twenty

1300
01:16:29,160 --> 01:16:31,439
Speaker 1: five now to the top of the hour, eight hundred

1301
01:16:31,439 --> 01:16:33,080
Speaker 1: and ninety four one. Sean, you want to be a

1302
01:16:33,080 --> 01:16:36,320
Speaker 1: part of the program. Well he's back, and that would

1303
01:16:36,320 --> 01:16:40,040
Speaker 1: be James O'Keefe Project Veritas. Well, he never goes anywhere anyway.

1304
01:16:40,080 --> 01:16:43,880
Speaker 1: But so we have now the latest in what is

1305
01:16:43,920 --> 01:16:49,040
Speaker 1: a series of exposing the corrupt fake news industry, and

1306
01:16:49,120 --> 01:16:53,840
Speaker 1: he has a report out today about CBS News literally

1307
01:16:54,240 --> 01:16:59,120
Speaker 1: using medical professionals from Cherry Medical Center in Grand Rapids, Michigan,

1308
01:16:59,600 --> 01:17:02,400
Speaker 1: and getting them to line up in their vehicles so

1309
01:17:02,720 --> 01:17:06,479
Speaker 1: a CBS film crew would have a long line for

1310
01:17:06,520 --> 01:17:10,400
Speaker 1: their COVID nineteen coverage. In other words, they're staging the event,

1311
01:17:10,720 --> 01:17:14,960
Speaker 1: is what he's saying. He quotes one nurse, registered nurse.

1312
01:17:15,000 --> 01:17:18,800
Speaker 1: We could have done other stuff, she complained. Apparently the

1313
01:17:19,040 --> 01:17:22,679
Speaker 1: news crew wanted more people in line, said a Cherry

1314
01:17:22,720 --> 01:17:27,160
Speaker 1: Health supervisor. We pretended there were a couple of real patients,

1315
01:17:27,160 --> 01:17:30,799
Speaker 1: which made it worse anyway. So another word, pulling medical

1316
01:17:30,880 --> 01:17:34,400
Speaker 1: professionals off the floor at a hospital and Grand Rapids

1317
01:17:34,720 --> 01:17:36,840
Speaker 1: to line up in their vehicles so that they can

1318
01:17:36,880 --> 01:17:41,160
Speaker 1: be part of a film news crew that they would

1319
01:17:41,200 --> 01:17:43,559
Speaker 1: have showing that they had a long line for their

1320
01:17:43,560 --> 01:17:48,120
Speaker 1: COVID nineteen coverage when they didn't. Quote our insider witnessed,

1321
01:17:48,120 --> 01:17:50,960
Speaker 1: the whole thing came to Project Veritas because he knew

1322
01:17:51,000 --> 01:17:55,080
Speaker 1: we would protect him. Quoting James O'Keeffe, the insider told

1323
01:17:55,160 --> 01:17:58,080
Speaker 1: us medical personnel were taken away from treating patients and

1324
01:17:58,160 --> 01:18:01,559
Speaker 1: making the line longer for act old patients that were

1325
01:18:01,600 --> 01:18:06,240
Speaker 1: waiting for their COVID nineteen test. Anyway, so let me

1326
01:18:06,240 --> 01:18:09,920
Speaker 1: play some of the audio of all of this. It's

1327
01:18:10,040 --> 01:18:14,720
Speaker 1: kind of breathtaking, but these things do happen, unfortunately. Let

1328
01:18:14,720 --> 01:18:18,240
Speaker 1: me play some of the highlights of of what they

1329
01:18:18,320 --> 01:18:22,519
Speaker 1: caught with Project Veritas. You're telling me you're one hundred

1330
01:18:22,520 --> 01:18:28,519
Speaker 1: percent certain that CBS News, CBS News Corporation National staged

1331
01:18:29,080 --> 01:18:32,439
Speaker 1: a fake event. They faked the news, they faked the

1332
01:18:32,520 --> 01:18:36,760
Speaker 1: reality and broadcasted that to all of their audience last

1333
01:18:36,800 --> 01:18:42,479
Speaker 1: Friday on CBS this morning. Apparently I knew its crew

1334
01:18:43,200 --> 01:18:46,720
Speaker 1: wanted more people in the line because they knew it

1335
01:18:46,800 --> 01:18:50,479
Speaker 1: was well, we knew it, they were coming. We didn't know.

1336
01:18:54,280 --> 01:18:56,240
Speaker 1: Did she tell you guys like me, you're not actually

1337
01:18:56,240 --> 01:19:02,840
Speaker 1: getting Yeah, yeah, yes, that's just to make it a busy,

1338
01:19:03,960 --> 01:19:09,680
Speaker 1: because that's crazy. Let didn't see you guys that do

1339
01:19:09,760 --> 01:19:12,920
Speaker 1: the swab at all. I just sit backamore, and then

1340
01:19:12,960 --> 01:19:23,000
Speaker 1: I was talking about other real peace planet a little

1341
01:19:23,000 --> 01:19:28,559
Speaker 1: busy in my head when this event occurred. Where did

1342
01:19:28,640 --> 01:19:32,560
Speaker 1: you work? I worked at Cherry Health, Sherry Health is

1343
01:19:33,040 --> 01:19:36,160
Speaker 1: it's a medical facility. Um, it's Cherry Health, part of

1344
01:19:36,200 --> 01:19:38,760
Speaker 1: the city is the full name of it. UM. I

1345
01:19:39,040 --> 01:19:41,840
Speaker 1: can't really worked that day. The news crews there. I

1346
01:19:41,920 --> 01:19:44,439
Speaker 1: was kind of asking around what happened U, and they're

1347
01:19:44,439 --> 01:19:46,519
Speaker 1: just let me know there's news there for the testing.

1348
01:19:47,240 --> 01:19:51,600
Speaker 1: What did you see happen that that you're claiming is

1349
01:19:51,920 --> 01:19:55,600
Speaker 1: is fake fake news about this? Well? UM, when I

1350
01:19:55,720 --> 01:19:58,920
Speaker 1: was over there and the wine was coming through, UM,

1351
01:19:59,080 --> 01:20:01,360
Speaker 1: A lot of them we're just kind of driving up,

1352
01:20:01,640 --> 01:20:04,200
Speaker 1: not really getting tested at all. UM. They's talking with

1353
01:20:04,360 --> 01:20:07,800
Speaker 1: the testers. So I was asking, what, you know, what's

1354
01:20:07,840 --> 01:20:09,720
Speaker 1: going on with the tests, and that's when they told

1355
01:20:09,760 --> 01:20:12,240
Speaker 1: me that, you know, the majority of the line is

1356
01:20:12,600 --> 01:20:18,040
Speaker 1: from employees UM at Cherry Health. UM. So yeah, the

1357
01:20:18,200 --> 01:20:22,360
Speaker 1: people in the line, we're not people being tested, but

1358
01:20:22,439 --> 01:20:27,720
Speaker 1: they were employees pretending to be patients. Correct. Ye. Why

1359
01:20:27,720 --> 01:20:31,360
Speaker 1: would they do that? UM? I think it's a little

1360
01:20:31,360 --> 01:20:33,519
Speaker 1: bit of a benefit for both parties. UM. I do

1361
01:20:33,640 --> 01:20:37,120
Speaker 1: know Cherry Health is struggling a little bit financially their nonprofit,

1362
01:20:37,479 --> 01:20:39,360
Speaker 1: so they get a lot of their money from donors

1363
01:20:39,479 --> 01:20:42,639
Speaker 1: or grants. UM. So it just makes them look productive.

1364
01:20:42,760 --> 01:20:46,080
Speaker 1: And then on the side of the news Um, you know,

1365
01:20:46,200 --> 01:20:49,120
Speaker 1: they they want to make the line up here bigger

1366
01:20:49,160 --> 01:20:51,320
Speaker 1: than it is, just just for their reporting purposes, to

1367
01:20:51,439 --> 01:20:54,560
Speaker 1: show that, you know, this is a big deal that

1368
01:20:54,800 --> 01:20:58,080
Speaker 1: people are being tested in masses numbers. So they were

1369
01:20:58,200 --> 01:21:02,639
Speaker 1: they were they were on a stage a fake, fake

1370
01:21:02,800 --> 01:21:07,360
Speaker 1: news event. Is that what you're telling me? Apparently I

1371
01:21:07,439 --> 01:21:11,800
Speaker 1: knew the crew wanted more people in the wine because

1372
01:21:11,840 --> 01:21:14,880
Speaker 1: they knew it was scheduled. So when did you find

1373
01:21:14,920 --> 01:21:18,599
Speaker 1: out on Monday that it was that it wasn't real

1374
01:21:18,680 --> 01:21:23,479
Speaker 1: people or not real people, but that was employees. Um,

1375
01:21:24,000 --> 01:21:27,479
Speaker 1: that long half line at the Yeah, and then when

1376
01:21:27,479 --> 01:21:30,519
Speaker 1: I went to the bag with the test two minute

1377
01:21:30,520 --> 01:21:34,200
Speaker 1: and that's like figures that we see the schedule ahead. Also,

1378
01:21:34,320 --> 01:21:37,040
Speaker 1: no one told you like in advance. It was just

1379
01:21:37,160 --> 01:21:40,080
Speaker 1: kind of like you were just like, why is this

1380
01:21:40,200 --> 01:21:51,400
Speaker 1: line so long for volunteers? Did she tell you guys like, hey,

1381
01:21:51,520 --> 01:21:57,519
Speaker 1: you're not actually getting tested? Yeah? Yeah, wells just to

1382
01:21:57,640 --> 01:22:05,040
Speaker 1: make it look So that's crazy. How did you guys

1383
01:22:05,200 --> 01:22:10,120
Speaker 1: feel on one day? Like with the with the cars,

1384
01:22:10,960 --> 01:22:13,519
Speaker 1: it's just annoying because we could have done other stuff,

1385
01:22:13,680 --> 01:22:20,040
Speaker 1: you know, right, but smiling at yeah, I'm not talking

1386
01:22:20,080 --> 01:22:21,400
Speaker 1: to you guys that day it sound like you guys

1387
01:22:21,439 --> 01:22:25,720
Speaker 1: are a little frustrated. But yeah, and no one, no

1388
01:22:25,800 --> 01:22:28,760
Speaker 1: one told like crap to you guys at a time. Well,

1389
01:22:28,840 --> 01:22:31,719
Speaker 1: we knew where they were coming. We had no clue

1390
01:22:31,840 --> 01:22:36,080
Speaker 1: that we're gonna have to like patients. I didn't see

1391
01:22:36,120 --> 01:22:38,040
Speaker 1: you guys had to do the swab at all. I

1392
01:22:38,120 --> 01:22:40,080
Speaker 1: just like you talking with them, and then I was

1393
01:22:40,120 --> 01:22:47,080
Speaker 1: talking with the other girls. There were a little real

1394
01:22:47,160 --> 01:22:49,800
Speaker 1: patients made it worse and they had to wait longer

1395
01:22:51,720 --> 01:23:02,320
Speaker 1: us again, like y, I've never like that crazy she made.

1396
01:23:02,320 --> 01:23:05,360
Speaker 1: She did it on her own. It was her idea.

1397
01:23:06,200 --> 01:23:08,120
Speaker 1: I don't know. I think it was you know, like

1398
01:23:08,200 --> 01:23:16,840
Speaker 1: everybody is grinding dance. Yeah, because I also told me

1399
01:23:16,920 --> 01:23:18,320
Speaker 1: that they do stuff like that all the time. To

1400
01:23:18,439 --> 01:23:21,160
Speaker 1: think their their brand and the eventually good because it's

1401
01:23:21,520 --> 01:23:25,120
Speaker 1: not prompt ye. Same, like I seen Tasha, and they

1402
01:23:25,439 --> 01:23:31,400
Speaker 1: was already already, and then she came. She gave me

1403
01:23:31,479 --> 01:23:33,960
Speaker 1: to talk. But she came to was, oh, they conte here,

1404
01:23:34,040 --> 01:23:36,639
Speaker 1: you know, make sure you know they could taste. They didn't,

1405
01:23:36,640 --> 01:23:38,479
Speaker 1: she tossed. They went to tell them they made them

1406
01:23:38,520 --> 01:23:43,080
Speaker 1: wearing a mask to make sure you know that question

1407
01:23:43,080 --> 01:23:45,240
Speaker 1: of my question, And they didn't have a mask to

1408
01:23:45,560 --> 01:23:50,560
Speaker 1: a masky. I was talking with Maria and she was

1409
01:23:50,600 --> 01:23:53,759
Speaker 1: told me that it was m Glenda Walker and Jody

1410
01:23:53,960 --> 01:23:58,120
Speaker 1: that were going around getting asking the screeners for volunteers

1411
01:23:58,320 --> 01:24:05,680
Speaker 1: really to come into the line. Yeah, joining us now,

1412
01:24:06,479 --> 01:24:11,280
Speaker 1: he is the founder, the CEO of Project Veritas, James

1413
01:24:11,360 --> 01:24:13,800
Speaker 1: O'Keefe is with us. So why don't you explain to

1414
01:24:13,840 --> 01:24:17,040
Speaker 1: everybody exactly who we're hearing from on these tapes. These

1415
01:24:17,080 --> 01:24:20,080
Speaker 1: are people that work at the hospital that are telling you, Yeah,

1416
01:24:20,160 --> 01:24:23,200
Speaker 1: we got pulled off our job, our duty taking care

1417
01:24:23,240 --> 01:24:26,160
Speaker 1: of patients, so we could be part of a staging

1418
01:24:26,280 --> 01:24:29,679
Speaker 1: of fake news to act like a story is bigger

1419
01:24:29,720 --> 01:24:33,000
Speaker 1: and different than what it really is. He sean, Yes,

1420
01:24:33,160 --> 01:24:35,400
Speaker 1: thank you. Audio a little hard to hear on the

1421
01:24:35,479 --> 01:24:38,479
Speaker 1: radio there. But what this involves. It involves a medical

1422
01:24:38,560 --> 01:24:43,520
Speaker 1: clinic in Michigan named Cherry Health Clinic CBS News National Corporation,

1423
01:24:43,640 --> 01:24:46,280
Speaker 1: the Morning show of You by millions of people, and

1424
01:24:46,680 --> 01:24:49,479
Speaker 1: the workers at the clinic, recorded by one of the

1425
01:24:49,560 --> 01:24:52,640
Speaker 1: people that worked at the clinic are saying that there

1426
01:24:52,760 --> 01:24:56,120
Speaker 1: is a fake COVID testing line, that they had put

1427
01:24:57,000 --> 01:25:00,560
Speaker 1: medical personnel in this line of vehicles to make it

1428
01:25:00,680 --> 01:25:03,600
Speaker 1: look like there were patients for CBS News and what

1429
01:25:03,680 --> 01:25:06,280
Speaker 1: you just heard or all of the workers at the

1430
01:25:07,200 --> 01:25:11,280
Speaker 1: clinic saying that they were trying to actually work with

1431
01:25:11,439 --> 01:25:14,360
Speaker 1: real patients and they were being taken away from the

1432
01:25:14,439 --> 01:25:18,560
Speaker 1: patients to stage this thing for CBS National News. This

1433
01:25:18,680 --> 01:25:22,560
Speaker 1: is an unbelievable story, Sean. It has already generated a

1434
01:25:22,640 --> 01:25:25,599
Speaker 1: reaction from I spoke with the president. In fact, funny

1435
01:25:25,680 --> 01:25:27,960
Speaker 1: enough that the president of CBS News would talk to me,

1436
01:25:28,240 --> 01:25:31,960
Speaker 1: but she did last night, and they gave us a statement. Uh,

1437
01:25:32,120 --> 01:25:34,840
Speaker 1: they seem sean to be throwing the hospital under the bus.

1438
01:25:35,000 --> 01:25:38,400
Speaker 1: This is CBS News and they have taken down their

1439
01:25:38,439 --> 01:25:41,320
Speaker 1: broadcast as of this morning, and they have said that

1440
01:25:41,400 --> 01:25:45,639
Speaker 1: they were moving the piece because they they quote, take

1441
01:25:45,760 --> 01:25:49,360
Speaker 1: the accuracy of our reporting very seriously unquote, and they've

1442
01:25:49,479 --> 01:25:53,840
Speaker 1: taken down this piece. And to be honest, you know, James,

1443
01:25:54,000 --> 01:25:56,639
Speaker 1: I mean that's a lot more than you other times.

1444
01:25:56,680 --> 01:25:58,760
Speaker 1: At other times that you get from them, people just

1445
01:25:58,880 --> 01:26:02,080
Speaker 1: go into full and complete eat the Nile mode. Like

1446
01:26:02,200 --> 01:26:04,719
Speaker 1: in the last case when you got the Bernie Sanders people,

1447
01:26:04,920 --> 01:26:08,560
Speaker 1: you know, they just absolutely ignored your reporting and you

1448
01:26:08,680 --> 01:26:11,559
Speaker 1: had them dead to rights. I think we have them

1449
01:26:11,640 --> 01:26:14,719
Speaker 1: even more dead to rights. In this case, Sean, because

1450
01:26:14,800 --> 01:26:17,360
Speaker 1: they they're insider that works in this clinic who is

1451
01:26:17,400 --> 01:26:21,080
Speaker 1: still employed by the clinic, recorded all of these nurses.

1452
01:26:21,160 --> 01:26:24,719
Speaker 1: I mean, these nurses were We're saying things that were

1453
01:26:25,120 --> 01:26:28,720
Speaker 1: very disturbing, you know that they were that they were

1454
01:26:28,840 --> 01:26:32,880
Speaker 1: having to create fake patients. So it's it's undeniable. And

1455
01:26:34,160 --> 01:26:37,679
Speaker 1: the hospital is the CEO of the hospital, a woman

1456
01:26:37,760 --> 01:26:43,320
Speaker 1: whose name is Kasha Blackman is We got also a

1457
01:26:43,439 --> 01:26:48,960
Speaker 1: response from them, and they are claiming that initially they

1458
01:26:49,040 --> 01:26:51,800
Speaker 1: claimed that this didn't even happen, and now they're kind

1459
01:26:51,840 --> 01:26:53,840
Speaker 1: of caught. So it's kind of a developing story. We

1460
01:26:53,960 --> 01:26:56,240
Speaker 1: look to hear from the governor of Michigan, who's all

1461
01:26:56,280 --> 01:26:58,280
Speaker 1: over the TV stations these days. We'd love to hear

1462
01:26:58,400 --> 01:27:00,720
Speaker 1: her thoughts on the matter. And I've also reached out

1463
01:27:00,760 --> 01:27:05,120
Speaker 1: to u d as the local reporter. So this is

1464
01:27:05,160 --> 01:27:07,559
Speaker 1: kind of a developing story here and an example, Sean,

1465
01:27:07,600 --> 01:27:11,040
Speaker 1: of legitimate fake news. If we can't trust CBS and

1466
01:27:11,120 --> 01:27:13,639
Speaker 1: ABC and these powers that be it tell us what's

1467
01:27:13,680 --> 01:27:16,839
Speaker 1: going on as crisis, I mean, where are we? CBS

1468
01:27:16,920 --> 01:27:20,200
Speaker 1: News told us at least one, but there was more

1469
01:27:20,280 --> 01:27:23,599
Speaker 1: than one fake patient in that line. So phobs is confirmed.

1470
01:27:23,680 --> 01:27:25,880
Speaker 1: This is a fake news story, and we're looking to

1471
01:27:25,920 --> 01:27:29,360
Speaker 1: hold someone accountable over this. Well, I mean pulling people

1472
01:27:30,040 --> 01:27:32,280
Speaker 1: in the middle of a pandemic away from their job,

1473
01:27:32,439 --> 01:27:36,240
Speaker 1: healthcare professionals. That's that's bad enough. Do we know at

1474
01:27:36,320 --> 01:27:39,240
Speaker 1: what level it happened? For example, was it just the

1475
01:27:39,520 --> 01:27:42,400
Speaker 1: local producer, was that, you know, one of their top

1476
01:27:42,439 --> 01:27:46,639
Speaker 1: producers who made this call? That's a good question. According

1477
01:27:46,720 --> 01:27:50,639
Speaker 1: to the CEO of the hospital, we're literally Sean giving

1478
01:27:50,680 --> 01:27:52,800
Speaker 1: these statements as I'm talking to you. So I'm reading

1479
01:27:52,840 --> 01:27:55,560
Speaker 1: from my emails that the hospital saying that some of

1480
01:27:55,600 --> 01:27:58,200
Speaker 1: the folks at the hospital wanted to make things look busy.

1481
01:27:58,720 --> 01:28:00,840
Speaker 1: They wanted to make the hospital a little anxious, to

1482
01:28:00,960 --> 01:28:03,720
Speaker 1: show CBS that they were busier than they actually were.

1483
01:28:04,400 --> 01:28:08,680
Speaker 1: And it's unclear about what CBS news Is involvement was,

1484
01:28:09,479 --> 01:28:13,959
Speaker 1: although according to the insider and according to the recorded statements,

1485
01:28:14,000 --> 01:28:16,320
Speaker 1: and these nurses and these workers at the hospital, well

1486
01:28:16,360 --> 01:28:18,439
Speaker 1: they're being very clear that they were pulled out of

1487
01:28:18,680 --> 01:28:21,479
Speaker 1: their jobs and told to do this. Correct. So we

1488
01:28:21,560 --> 01:28:25,120
Speaker 1: have a contradiction between what CBS News is saying and

1489
01:28:25,320 --> 01:28:29,240
Speaker 1: what the hospital is saying. Somebody is lying, which that's

1490
01:28:29,280 --> 01:28:31,280
Speaker 1: why we do what we do a Project Veritas. That's

1491
01:28:31,280 --> 01:28:33,800
Speaker 1: why we use hidden cameras and to get to the

1492
01:28:33,880 --> 01:28:36,880
Speaker 1: truth because this is a really important thing that you

1493
01:28:36,920 --> 01:28:38,920
Speaker 1: shouldn't be doing this. You shouldn't be pulling doctors away

1494
01:28:38,960 --> 01:28:42,599
Speaker 1: from patients just to create a fake news broadcast, all right,

1495
01:28:42,960 --> 01:28:46,639
Speaker 1: James O'Keefe, Project Veritas. We linked to it on Hannity

1496
01:28:46,720 --> 01:28:49,320
Speaker 1: dot com. Project Veritas dot com. I believe is the

1497
01:28:49,600 --> 01:28:53,479
Speaker 1: website anymore coming? Is this a series? Or is this

1498
01:28:53,640 --> 01:28:57,120
Speaker 1: say one and done? You never know what James o'ke Yeah,

1499
01:28:57,360 --> 01:29:00,120
Speaker 1: it's like the price of liberty is eternal vigilance. The

1500
01:29:00,160 --> 01:29:03,000
Speaker 1: thing we had one hundred insiders come to us after

1501
01:29:03,160 --> 01:29:06,080
Speaker 1: we released this one. But the answer your question about

1502
01:29:06,120 --> 01:29:09,960
Speaker 1: this particular story, I am getting sent to me statements

1503
01:29:10,040 --> 01:29:11,760
Speaker 1: as I'm on the phone with you because they're kind

1504
01:29:11,760 --> 01:29:14,559
Speaker 1: of caught with their with their pants down. So I'm

1505
01:29:14,600 --> 01:29:16,800
Speaker 1: sure there'll be more shoes to drop. And I don't

1506
01:29:16,840 --> 01:29:18,360
Speaker 1: know if someone's going to lose their job over this.

1507
01:29:18,640 --> 01:29:21,679
Speaker 1: I don't know what what what executive a's CBS knew

1508
01:29:21,680 --> 01:29:24,479
Speaker 1: about this, maybe the executive producer. But more to come, Sean,

1509
01:29:24,520 --> 01:29:27,880
Speaker 1: and we posting about that eminently and h Linda's going

1510
01:29:27,920 --> 01:29:31,120
Speaker 1: to pass on to you, Hannity idea. Okay, Thanks James

1511
01:29:31,360 --> 01:29:33,920
Speaker 1: Keith eight hundred and ninety four one, Sean, you want

1512
01:29:33,920 --> 01:29:35,920
Speaker 1: to be a part of the program. All right, let's

1513
01:29:35,960 --> 01:29:40,000
Speaker 1: get to our busy telephones here as we say hi

1514
01:29:40,920 --> 01:29:44,080
Speaker 1: to Joe and Ella. J Joe, it's been forever. How

1515
01:29:44,120 --> 01:29:46,640
Speaker 1: are you. I've known Joe now, going back to my

1516
01:29:46,720 --> 01:29:49,840
Speaker 1: Atlanta days as long as what nineteen ninety six, Joe,

1517
01:29:49,960 --> 01:29:54,439
Speaker 1: we're getting old, Joe, it's twenty twenty four years ago. Son,

1518
01:29:54,560 --> 01:29:56,559
Speaker 1: You're great. We love your show. I want to buy

1519
01:29:56,600 --> 01:29:59,360
Speaker 1: your book from myself and my three children, and I

1520
01:29:59,479 --> 01:30:02,040
Speaker 1: just won't how much Will and Laja and all the

1521
01:30:02,160 --> 01:30:04,680
Speaker 1: people there appreciate you for the great job you do,

1522
01:30:04,920 --> 01:30:08,800
Speaker 1: for supporting President Trump and what a great guy you are.

1523
01:30:08,840 --> 01:30:11,559
Speaker 1: I've got a leadership clans at Poods Barbecue and someday

1524
01:30:11,600 --> 01:30:13,800
Speaker 1: I'd love you to come down and speak to him.

1525
01:30:13,840 --> 01:30:17,040
Speaker 1: But you're a hero in Georgiana. Thanks Joe, I appreciate you.

1526
01:30:17,439 --> 01:30:20,519
Speaker 1: God bless you, Sean Hannity, God bless you Joe and

1527
01:30:20,720 --> 01:30:23,599
Speaker 1: lj All right, that's gonna wrap things up at today

1528
01:30:23,720 --> 01:30:25,800
Speaker 1: Hannity dot Com. By the way, if you're looking for

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Speaker 1: Dennis Miller. Tonight ninety Eastern. Say your DVR. We'll see

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Speaker 1: you tonight. Back here tomorrow. Thanks for being with us.

1536
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Speaker 1: Hannity dot Com, All Things Hannity,