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Speaker 1: All right, glad you with us. I'm here. I'm here.

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Speaker 1: I'm here at Sean Hannity Show, eight hundred and ninety

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Speaker 1: four one. Sean, you want to be a part of

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Speaker 1: this extravaganza. You know, there's an acceleration, there's madness everywhere.

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Speaker 1: I've never seen it this bad. And you know, we've

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Speaker 1: been through a lot of contentious times politically in this country,

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Speaker 1: and I am just saying, my thirty one years in radio,

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Speaker 1: my twenty four years at Fox, I've never seen this

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Speaker 1: level of madness, psychosis, rage, insanity that we're now living through.

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Speaker 1: And that is and I want to make sure I

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Speaker 1: bifurcate this line really tight because it's the same groups

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Speaker 1: of people, and it's obvious what this is all about

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Speaker 1: in the end for them, if you cannot be a

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Speaker 1: member of the media mob, and they're a mob, it

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Speaker 1: is a mob mindset. You know, It's like, you know

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Speaker 1: what Ellen DeGeneres's big sin was, she she laughed with

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Speaker 1: George W. Bush. That's unacceptable. Can't do that. I can't.

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Speaker 1: You can't possibly like somebody who you politically of disagreements

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Speaker 1: with that. I'm telling you that is a huge part

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Speaker 1: of it. I think and you know for Ellen to

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Speaker 1: se you know, cracker job. I think Ellen's funny and

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Speaker 1: I think you know the well, you're not taking the

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Speaker 1: virus seriously enough. Why because Ellen told the joke and

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Speaker 1: I laughed, Or Dennis Miller was on last night, He's

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Speaker 1: funny last night. On hand, No, I it is it

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Speaker 1: is so bad that it is, you know, never thought

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Speaker 1: in all my years I get accused of murder. Let's

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Speaker 1: put it that way, um. And they had their facts wrong,

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Speaker 1: completely wrong, probably wrong. You want to talk about malice, libel, slander,

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Speaker 1: you know it is. These are just very strange times

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Speaker 1: we live in. But a lot of it is it's

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Speaker 1: the same people, the same ones that have lied for

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Speaker 1: three straight plus years. It is they just hate Donald

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Speaker 1: Trump at the bottom of it, and they hate anybody

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Speaker 1: that likes Donald Trump. And I'll tell you it's it's

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Speaker 1: a fear that they see a different Donald Trump. Is

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Speaker 1: my interpretation and opinion here, and that you watch these

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Speaker 1: marath I could read the Old and New Testament probably

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Speaker 1: faster than these press conferences go on. But what you

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Speaker 1: see a president that is he is so locked in.

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Speaker 1: And I've known Donald Trump for many, many, many many

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Speaker 1: years over two decades and I watch him. He is

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Speaker 1: dialed in, locked in, he's zoned in, whatever you want

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Speaker 1: to call it, you know, all hands on deck, and

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Speaker 1: it's like there's nothing that he will be able to say.

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Speaker 1: Ever that the mob in the media will say, you

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Speaker 1: know what you really got, you pulled that off, and

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Speaker 1: it's not going to happen. The Democrats are not going

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Speaker 1: to ever admit he's done a single thing right in

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Speaker 1: all of this. Nobody's ever going to go after the

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Speaker 1: governors that were so ill prepared and the mayors so

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Speaker 1: ill prepared that they needed everything handed to them from

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Speaker 1: the federal government. That's why de Blasio, Comrade de Blasio's comments,

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Speaker 1: you know, you're telling New York to trop dead. I'm like, wow,

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Speaker 1: the guy just built you a three thousand bed hospital.

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Speaker 1: He manned the hospital with his personnel, not yours. He

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Speaker 1: converted the hospital not originally intended to accept COVID nineteen patients.

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Speaker 1: He had to fix the ventilation system. He sent the

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Speaker 1: Navy ship then converted that to COVID nineteen. They also

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Speaker 1: put the personnel in there, or that New York City

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Speaker 1: was they were warned to buy nearly ten thousand ventilators,

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Speaker 1: over nine thousand ventilators if in fact there's a pandemic.

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Speaker 1: They were told to buy them. New York State was

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Speaker 1: told that there'll be fifteen thousand, seven hundred eighty three

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Speaker 1: short They didn't do it. They didn't buy it, they

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Speaker 1: didn't spend the money. They wasted the money all over

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Speaker 1: the place. And that's a big issue. I'm glad Mitch

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Speaker 1: McConnell rightly saying you're not going to balance your budgets

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Speaker 1: and we're not going to fund everything that you've screwed

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Speaker 1: up in your states. We are going to fund COVID

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Speaker 1: relief and COVID relief only period end of sentence, and

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Speaker 1: that includes you know everything else. I mean to watch

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Speaker 1: all of this, all the mobilization, twenty five thousand hospital

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Speaker 1: beds around the country built by our great Army Corps

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Speaker 1: of engineers. Engineers are great National guards men and women

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Speaker 1: are military men and women, the greatest medical professionals. You know,

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Speaker 1: the comments about opening up, opening up, opening up, Well,

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Speaker 1: you know, did anybody not noticed, because I noticed in

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Speaker 1: New York and Long Island, in the epicenter of this

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Speaker 1: crap that every time I've been to the store, which

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Speaker 1: is fairly regularly. I gotta get out of the house

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Speaker 1: now wearing my mask and gloves. But I every time

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Speaker 1: the guys were there stocking the shelves, every single solitary time.

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Speaker 1: They you know, when there's no plan for them to

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Speaker 1: get back to work. They never stopped working. And if

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Speaker 1: they didn't work, reopen would If they closed, there would

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Speaker 1: be no food for anybody in New York. But they

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Speaker 1: kept working. I go to my local pharmacy. Nice people

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Speaker 1: right Aid pharmacy, go in and say hello every time,

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Speaker 1: very nice. They know me. Hey, mister Hannity, Hi, how

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Speaker 1: are you? How's your kids? They worked the whole time.

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Speaker 1: They didn't close down. The restaurants still stayed open, and

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Speaker 1: they're still suffering, providing food for people. And as I've

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Speaker 1: been saying, and I really can't say it enough, because

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Speaker 1: the farmers farmed, the packers packed, the trucker's trucked, and

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Speaker 1: they kept New York supply lines up and in place.

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Speaker 1: And the guys that stocked the shelves, I did have

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Speaker 1: a couple of weeks ago, I gently, I was really

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Speaker 1: nice about it. I'm like watching this guy, he's working,

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Speaker 1: he's stocking the shelves, and I said, I said, thank

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Speaker 1: you for what you're doing. Please put please put your

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Speaker 1: mask on. He had it at his neck. He put

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Speaker 1: it down below is probably stick a wearing it. I said, please,

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Speaker 1: you know, be careful. Thanks for what you're doing. Try

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Speaker 1: to tip a guy I got yelled at by the manager,

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Speaker 1: not yelled at, but whatever. And it's like, if the

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Speaker 1: mob and the media cannot knowledge a couple of simple things,

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Speaker 1: there's no point ever in having any conversation with them.

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Speaker 1: But and then I will tell you it's impossible to

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Speaker 1: have conversations with them because they're so full of rage.

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Speaker 1: But it's the same two groups of people. It's a

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Speaker 1: democratic radical extreme socialists that are now even openly saying

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Speaker 1: that they want to use COVID. I'm excited, Joe Biden said,

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Speaker 1: excited because COVID nineteen creates an opportunity to change everything

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Speaker 1: into new green policies. I'm like, you've got to be

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Speaker 1: kidding me. As people in the middle of a national emergency,

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Speaker 1: the mob in the meeting, we can't take his press

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Speaker 1: conferences are lies if you can't acknowledge that what you

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Speaker 1: and the mob called and Biden called racist, xenophobic, hysteria, fear, mongering,

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Speaker 1: the travel ban of the president, the quarantines for the

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Speaker 1: first time in fifty years, and the subsequent travel bands,

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Speaker 1: but the first travel ban from China ten days after

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Speaker 1: the first known identified case of coronavirus in New York

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Speaker 1: in the United States, if you can't say in retrospect

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Speaker 1: that was a game changer, and it saved an incalculable

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Speaker 1: number of Americans from contracting the disease and then exponentially

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Speaker 1: saving the lives of Americans, then there's no more need

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Speaker 1: for any discussion with these people. You know, I've often said,

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Speaker 1: you know, I can be friends with liberals. I am

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Speaker 1: friends with liberals. I'm liberal friends of mine. They don't

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Speaker 1: like my politics. I'm still friends with them. You know,

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Speaker 1: maybe we just you know, we're friends for other reasons.

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Speaker 1: I'll eat dinner with them. I'll probably pay way it

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Speaker 1: works liberals distribution, redistribution. I'm teasing. But I'll live next

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Speaker 1: to you, I'll talk to you. My kids will play

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Speaker 1: your your kids. I just don't want them in power.

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Speaker 1: What matters. Truth does not matter at even at a

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Speaker 1: moment like this. Truth has become a casualty in all

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Speaker 1: of this. People that give really strong advice based on

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Speaker 1: what we know at any given moment, and I'll use

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Speaker 1: doctor Faucci. I think everybody likes doctor Fauci. Doctor Faucci,

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Speaker 1: you know, I don't know what his politics, so I

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Speaker 1: probably guess he's probably more left of center. Likely probably,

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Speaker 1: I'm pretty sure of that. But doctor Faucci, you know,

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Speaker 1: February twenty nine sent the risk is long. March ninth,

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Speaker 1: he said, yeah, young, healthy people can go on a cruise.

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Speaker 1: Now you know, did doctor Fauci do it maliciously? Of course.

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Speaker 1: This guy dedicated decades of his life and would I

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Speaker 1: will tell you his work. His life work has resulted

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Speaker 1: in the saving of human life. I admire the guy

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Speaker 1: doing his best. China lied. We all had misinformation, a

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Speaker 1: ton of misinformation all over the place. If Democrats cannot

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Speaker 1: look at twenty five thousand beds hospital beds built around

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Speaker 1: the country. If New York didn't get the Javits Center

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Speaker 1: converted to COVID personnel manned by the President's team, Same

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Speaker 1: with the un the Navy ship of the comfort, the

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Speaker 1: hospital ship. If they every ventilator, they never ran out

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Speaker 1: of ventilators. They have an overstock and supply, and we're

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Speaker 1: going to end up with more ventilators than they ever

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Speaker 1: dreamed of, every bit of all the facial masks, all

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Speaker 1: the respirators. Why did that happen because all the manufacturers

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Speaker 1: they didn't close either. Manufacturers didn't close. You know, if

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Speaker 1: they did, then all those brave and they're brave frontline

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Speaker 1: medical workers from custodians all the way up through the ranks,

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Speaker 1: doctors and directors, including nurses and orderlies and other medical

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Speaker 1: teams that go into the if those if they closed down,

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Speaker 1: they wouldn't have had any protective gear. If the pharmacies

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Speaker 1: closed down, they wouldn't have any medicines either. But the

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Speaker 1: ability to get the ventilators, the twenty five thousand hospital beds,

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Speaker 1: converting many of them to COVID nineteen hospitals manning them

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Speaker 1: for New York, getting the gloves and the shields and

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Speaker 1: the masks and the respirators and the gowns and the

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Speaker 1: medicines and the test kits, and the next iteration of testing,

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Speaker 1: then the next iteration attacking, then the next dideration of testing.

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Speaker 1: And you know, everyone thinks they can snap their freaking finger.

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Speaker 1: Oh we got one hundred ventilators. Good luck, even the

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Speaker 1: geniuses and they are genius engineers at GM. They had

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Speaker 1: a hard time getting that sucker right, but they did

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Speaker 1: same with the testing five million tests. Now it is like,

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Speaker 1: if you can admit that this four or five week

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Speaker 1: period medical mobilization, from even the point where doctor Fauci

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Speaker 1: was saying, yeah, the risk is low February twenty ninth.

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Speaker 1: If you can't admit that, there's no discussing anything with you.

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Speaker 1: They I do not see the same people that lied, smeared, slandered, besmirched,

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Speaker 1: advanced one conspiracy theory after another conspiracy theory. The ones

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Speaker 1: that were impeaching, the ones that were ripping up stated

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Speaker 1: the union addresses, the ones that were saying come to Chinatown,

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Speaker 1: the mayors that were saying go out, go to a

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Speaker 1: play in March, and the health people, if they had

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Speaker 1: no help from the federal government, if the workers in

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Speaker 1: the country had closed down, we can't calculate how many

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Speaker 1: people would have died, just like we can't calculate how

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Speaker 1: many people would have contracted the disease and also died

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Speaker 1: had the President not bravely withstood the criticism. They can't

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Speaker 1: do it. Truth is the biggest casualty. Doctors that will

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Speaker 1: tell you, you know, do no harm. There's no better

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Speaker 1: expert on hydroxy chloroquin then Daniel Wallace. I'll read his

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Speaker 1: letter again. Nobody nobody wants to print his words. They

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Speaker 1: can get one flawed negative study dying. No, they not

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Speaker 1: read directly from what he said. You know a guy

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Speaker 1: that peer reviewed this, peer reviewed that forty two years

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Speaker 1: of practice, no patient of mine ever has been hospitalized

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Speaker 1: for an HCQ complication. The risk of taking four hundred

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Speaker 1: eight CQ a day followed by a single six hundred

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Speaker 1: milligram h CQ loading doors for thirty to sixty days.

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Speaker 1: Nobody was getting it for thirty or sixty days. It

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Speaker 1: was five maybe twenty max. He said. The risks are

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Speaker 1: nil but for an allergic rash or an upset stomach.

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Speaker 1: But they don't care if they can hurt Trump, bludge

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Speaker 1: and Trump, never give Trump credit. That's their goal. One

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Speaker 1: hundred and ninety four days to go. It's only gonna

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Speaker 1: get worse, all right, as we roll along. Eight hundred

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Speaker 1: and ninety four one, Shawn, if you want to be

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Speaker 1: a part of this extravaganzas so, I got some interesting data. Look,

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Speaker 1: it's it's hard. You're looking at numbers. Numbers. You know,

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Speaker 1: when you look at numbers and people are dying, it sucks.

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Speaker 1: It's you know, the lowest number of deaths in New

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Speaker 1: York four hundred and thirty eight in New York. There's

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Speaker 1: there's a lot of new information that I'll share in

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Speaker 1: the next half hour about New York in particular, but

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Speaker 1: there is if you look at we do have some

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Speaker 1: numbers to share, probably subject to change, New York City.

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Speaker 1: If twenty one percent of eight point four million New

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Speaker 1: York City residents were infected, that's one million, seven hundred

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Speaker 1: and sixty four thousand New York City dot govn list,

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Speaker 1: fifteen thousand, four hundred eleven confirmed probable deaths. That would

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Speaker 1: be an infection fatality rate of zero point eight seven

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Speaker 1: Some calculations for New York State. If thirteen point nine percent,

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Speaker 1: which is the number of Governor Cuomo used today, nineteen

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Speaker 1: point four five million New York State residents, I would

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Speaker 1: mean two million, seven hundred and three thousand infected. That

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Speaker 1: would be and fifteen thousand, seven hundred forty deaths in

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Speaker 1: the state. That would work out to an infection fatality

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Speaker 1: rate of zero point five eight percent. Remember they were

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Speaker 1: talking about three and a half percent to one point

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Speaker 1: a right, twenty five now till the top of the hour,

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Speaker 1: eight hundred and nine four one sewn. You want to

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Speaker 1: be a part of the program. So, I mean, that's

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Speaker 1: the New York State numbers death rate again, and maybe

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Speaker 1: you're using the state's numbers, and I don't want to

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Speaker 1: get you don't want you know, you got to remember

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Speaker 1: every statistic we're talking about. Here's a death There were

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Speaker 1: times they were talking about, oh, it could be as

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Speaker 1: high as the death rate could be as high as

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Speaker 1: three point five percent. In other words, infection fatality rate.

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Speaker 1: If you look at the New York state numbers, Governor says,

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Speaker 1: thirteen point nine percent nineteen point four five million New

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Speaker 1: York State residents, two million, seven hundred three thousand, five

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Speaker 1: hundred and fifty infected New York State list, fifteen thousand,

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Speaker 1: seven hundred forty dead in the state. But that would

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Speaker 1: work out to be an infection rate according to the

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Speaker 1: Census Bureau New York State Department of Health of point

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Speaker 1: five eight percent in the City of New York. I

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Speaker 1: won't go over their numbers again point eight seven. They

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Speaker 1: do a little bit different math than that, but I

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Speaker 1: you know, you look at it and it's still you know,

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Speaker 1: it's now the third drop, third day in a row

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Speaker 1: that that's have been below now five hundred since April first,

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Speaker 1: four and thirty eight today, the lowest you know, in

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Speaker 1: a long time. And so you have a net decrease

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Speaker 1: hospitalizations ten straight days fifty you have a net decrease

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Speaker 1: in intubations eleven straight days. You have preliminary antibody showing

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Speaker 1: test showing three thousand people infection rate nineteen counties, forty localities,

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Speaker 1: thirteen point nine percent testing positive with the antibody. That's

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Speaker 1: pretty high and one scent. But in the other sense,

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Speaker 1: the infection rate is high, which we would mean the

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Speaker 1: death rate may be lower. Again, doing the math, where

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Speaker 1: we are now today subject to change, and what's happening

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Speaker 1: in New York. Well, now you have the Attorney General

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Speaker 1: in New York in the middle of a pandemic national emergency.

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Speaker 1: She now wants to sue President Trump over his decision

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Speaker 1: to suspend all immigration so he can save a American

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Speaker 1: jobs and get all these people back to work. Wow, okay, understood.

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Speaker 1: You know this is where people's heads are at at

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Speaker 1: this particular moment point in time. And some other stuff

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Speaker 1: that we're learning now. We went over last night. One

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Speaker 1: state I was so worried about was Florida because Florida

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Speaker 1: has a very high elderly population. I've been down to

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Speaker 1: the villages, America's friendliest hometown, very cool place. I mean,

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Speaker 1: let's be honest. You know, they're all retired. They want

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Speaker 1: to enjoy the rest of their life. They have a

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Speaker 1: zillion golf courses, they have a zillion concerts, they have

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Speaker 1: movie theaters, they have restaurants, they have bars. They just

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Speaker 1: they play pickleball and tennis and all those others. They

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Speaker 1: have it a good time. And if somebody doesn't want

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Speaker 1: to go outside, they usually make them go out. Like

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Speaker 1: they make you be happy, whether or not, you know,

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Speaker 1: if you want to shut yourself down and be an

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Speaker 1: old person, They're like, no, come on. They got arts

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Speaker 1: and crafts and reading and you know, fun stuff for

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Speaker 1: people to do all day. But if you look at

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Speaker 1: the hospitalizations down there per hundred thousand, well, for example,

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Speaker 1: Michigan's thirty three point six, Florida's ten point three, how

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Speaker 1: did they do that? Then you look at the fatalities

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Speaker 1: in Florida again, highest percentage of old people and per

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Speaker 1: hundred thousand, they're at four percent in Florida, twenty seven

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Speaker 1: percent in Michigan. This Michigan governor just botched this whole thing.

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Speaker 1: Hospitalizations currently in the ACU ICU per hundred thousand and

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Speaker 1: three point two Florida, thirteen point five Michigan. How did

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Speaker 1: they do it? One of the things they immediately and

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Speaker 1: Ron de Santa's remember he was criticized for all the

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Speaker 1: spring breakers down there, you know, but at the time,

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Speaker 1: if you remember, we were told by the experts they

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Speaker 1: changed their opinions a lot. My timelines are definitive on

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Speaker 1: all of this, and it's on Hannity dot com. We

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Speaker 1: were told, oh, young people, they're not at risk of

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Speaker 1: getting us. Then that changed in New York and I

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Speaker 1: remember asking the first interview with Coma what happened because

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Speaker 1: he goes, right, you're right, he goes We were told,

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Speaker 1: young people both aren't getting it, but we're not seeing

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Speaker 1: that in New York one period. We were. Now we're

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Speaker 1: seeing the look. It really ended up being what they

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Speaker 1: had originally predicted in terms of those with underlying conditions,

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Speaker 1: those with compromised immune systems, apparently obesity. Listen, if you

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Speaker 1: want to do one thing for your health. And I'm

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Speaker 1: not a doctor. I say it all the time, lose weight.

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Speaker 1: But they deployed early in Florida while nobody was watching

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Speaker 1: mobile testing teams with the Florida National Guard to long

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Speaker 1: term care facilities. They use their Division of Emergency Management.

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Speaker 1: I give a ton of credit here to Rhonda Santis.

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Speaker 1: You know, they sent the protective personal protective equipment to

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Speaker 1: long term care facilities. Immediately, they issued a directive or

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Speaker 1: acquiring all staff with residents and long term care facilities

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Speaker 1: wearing masks. Almost immediately, the Agency for Health Administration made

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Speaker 1: on site visits. That's where they put their focus and

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Speaker 1: they were right. Ron de Santis handled it really well

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Speaker 1: up to now. I mean, it doesn't mean he won't

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Speaker 1: make mistakes down the road, but good job because he

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Speaker 1: went after the most vulnerable population we see in New York.

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Speaker 1: I mean, there was a New York Post editorial it

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Speaker 1: was it's devastating at the New York nursing home debacle

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Speaker 1: is by far the worst, and it says if Donald

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Speaker 1: Trump had merely been accused of what Governor Cuomo did

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Speaker 1: here in New York by forcing nursing homes to take

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Speaker 1: coronavirus patients. I didn't know this until two days ago.

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Speaker 1: Like what I mean, nursing homes were required Now, The

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Speaker 1: New York Post writes of all the missteps in the

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Speaker 1: early days of the coronavirus crisis, New York State's Health

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Speaker 1: Department may have committed the worst, ordering nursing homes to

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Speaker 1: accept residents who test positive for COVID nineteen. Instead of

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Speaker 1: quarantining the folks most vulnerable to the disease, the state

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Speaker 1: encouraged its spread. Eighty five percent of the states confirmed

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Speaker 1: deaths from the bug are people over sixty, with nearly

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Speaker 1: a quarter of all Corona fatalities coming in nursing or

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Speaker 1: adult care facilities, and at least two thousand and two

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Speaker 1: and ten such death tallied in the city Now. The

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Speaker 1: governor was asked about this. He said, it wasn't our job.

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Speaker 1: Why it was up to privately run homes. If they

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Speaker 1: needed help, the governor said, He offered they should have asked.

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Speaker 1: He said, well, actually, I know it would be up

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Speaker 1: to the state to contain the spread. That's what Rhonda

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Speaker 1: Santis did, and his numbers are bearing out. He nailed it,

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Speaker 1: absolutely nailed it for the people in Florida. Forget the

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Speaker 1: spring break video. I am telling you they nailed it

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Speaker 1: down in Florida here to four. You know, doctor Howard Zucker,

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Speaker 1: the state health commissioner, made his order so patients could

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Speaker 1: be released from from hospitals. But the president, we never

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Speaker 1: came near filling the Javits Center or the the the

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Speaker 1: Navy hospital ship. Comfort never unbelievable, you know, the same

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Speaker 1: Howard Zucker who decided not to buy the ventilators that

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Speaker 1: New York desperately needed when they did the November twenty

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Speaker 1: fifteen story. Anyway, but this indicates the coronavirus mortality rate

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Speaker 1: NBC News, even reporting wow occasionally they even get something right,

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Speaker 1: is far lower than previously thought. They remember, they were

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Speaker 1: up at three three and a half fatality rate. That's

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Speaker 1: what a mortality rate that that's what they were saying.

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Speaker 1: You know, the the much predicted surge did not materialize

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Speaker 1: in lockdown free South Dakota. Now, they had a problem

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Speaker 1: at a meat packing plant. Iowa had a similar problem.

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Speaker 1: But they literally they don't vawne really quickly. And from

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Speaker 1: what I hear anecdotally, now that most of those people

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Speaker 1: are are getting up and running again. Um, there is

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Speaker 1: a study that shows a growing number of recovered corona

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Speaker 1: patients can get reinfected. Uh that's from doctors in Wuhan.

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Speaker 1: I just can't I can't report, and it's being covered,

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Speaker 1: but I can't report that, um, because it's just ridiculous. Uh,

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Speaker 1: this is how sick people are. And then we're gonna

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Speaker 1: get to um. A friend of the program, former professional

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Speaker 1: baseball player, uh Dan Venezia's with us. And in just

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Speaker 1: a second, so local Democrats in Detroit are actually going

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Speaker 1: to hold the vote this weekend to censor a lawmaker

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Speaker 1: who met with President Trump and credited him with saving

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Speaker 1: her life after he touted hydroxy chloroquin. Now I'm only

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Speaker 1: saying this. I'm not getting involved in the whole medical

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Speaker 1: mess data, etc. But early data New York States hydrop

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Speaker 1: chloroquin clinical trial now being reviewed by federal agencies. So

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Speaker 1: we'll have some results there, you know. By the way,

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Speaker 1: they're now debunking. By the way, this widely cited non

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Speaker 1: clinical trial which was so flawed and everybody raced to

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Speaker 1: run the results. One of the things that remember doctor

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Speaker 1: Oz kept saying, you fight with the army you have,

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Speaker 1: not the army you wish. You have. We kept saying

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Speaker 1: and again, I'm not a doctor, consult your doctor, blah

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Speaker 1: blah blah. But it showed enormous hope, and we have

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Speaker 1: all these stories about it. And then I read the

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Speaker 1: letter of this board certified rheumatologist at Cedar Sinai. This

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Speaker 1: guy's name is Daniel Wallace. Nobody in the media wanted

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Speaker 1: to print his letter. He inherited the largest Lupas practice

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Speaker 1: in the US nineteen eighty five, cares for two thousand

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Speaker 1: patients with the disease. Most of his patients take or

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Speaker 1: have taken HCQ. He's authored over four hundred peer reviewed papers,

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Speaker 1: written the principal Lupas textbook, past chairman of Lupas Foundation

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Speaker 1: of America Rheumatology Research Foundation, blah blah blah. He's authored

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Speaker 1: numerous articles on anti malarials. This is his words. Hydroxy

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Speaker 1: chloroquin HCQ. Plaquino is a very safe drug. It's been

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Speaker 1: given tens of millions of individuals in the world since

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Speaker 1: it's approval of nineteen fifty five, sixty five years now,

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Speaker 1: and as a therapy as monotherapy has not been associated

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Speaker 1: with any deaths in the recommended dose forty two years

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Speaker 1: of practice. No patient of mine has ever been hospitalized

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Speaker 1: for HCQ. Then he says, there are no protocols. You

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Speaker 1: don't get EKGs before prescribing HCQ, never had a problem,

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Speaker 1: talks about the fact that it's also been given with

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Speaker 1: a zithromyas, and then this is his conclusion. He says,

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Speaker 1: the risk of taking four hundred milligrams HCQ a day

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Speaker 1: following a single dose six hundred milligram HCQ loading dose

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Speaker 1: for thirty or sixty days, the risk is nil his words,

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Speaker 1: unless one has an allergic rash or upset stomach. And

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Speaker 1: he said, contrary to all these articles, and then we

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Speaker 1: find out this this Brazil thing, apparently tons of doses

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Speaker 1: were like five times higher than anything anyone has ever

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Speaker 1: heard of. All Right, Dana's weather Stan Bensia. He is

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Speaker 1: a friend of the program, former professional baseball player with

424
00:27:17,640 --> 00:27:21,600
Speaker 1: the Minnesota Twins, and author of Coach Dan on Sportsmanship.

425
00:27:22,200 --> 00:27:26,040
Speaker 1: He got the coronavirus. How are you feeling? And I'm

426
00:27:26,080 --> 00:27:29,159
Speaker 1: sure that sucked, Hey, Sean, Yeah, no, I got hit

427
00:27:29,200 --> 00:27:32,720
Speaker 1: by a mack truck and luckily I'm getting better day

428
00:27:32,720 --> 00:27:35,160
Speaker 1: by day. And you know, as I get older, there's

429
00:27:35,200 --> 00:27:37,879
Speaker 1: no doubt my fate gets stronger, and first thing I

430
00:27:37,880 --> 00:27:41,000
Speaker 1: want to do is give the grace to God and

431
00:27:41,160 --> 00:27:43,760
Speaker 1: along with the power of prayer, my family, friends, and

432
00:27:44,200 --> 00:27:46,440
Speaker 1: you know, the parishioners at the cathedral of Saint John

433
00:27:46,480 --> 00:27:49,080
Speaker 1: the Baptist in Patterson, they prayed for me every day.

434
00:27:49,560 --> 00:27:52,280
Speaker 1: And because those masses are now virtual, people are tuning

435
00:27:52,320 --> 00:27:54,080
Speaker 1: in from all parts of the country. I had over

436
00:27:54,160 --> 00:27:57,840
Speaker 1: five thousand people praying those prayers work. This brutal disease

437
00:27:58,320 --> 00:28:00,919
Speaker 1: tried to take over my mind. It was successful at

438
00:28:00,960 --> 00:28:03,680
Speaker 1: taking over my body body, luckily for a short period

439
00:28:03,680 --> 00:28:05,679
Speaker 1: of time. But what the one thing it couldn't do

440
00:28:05,760 --> 00:28:08,920
Speaker 1: is break my spirit. How bad did it get? And

441
00:28:08,960 --> 00:28:12,680
Speaker 1: how long? Now are we talking about since you contracted it? Okay,

442
00:28:12,720 --> 00:28:16,119
Speaker 1: so twenty eight days from my first symptom exactly to

443
00:28:16,200 --> 00:28:18,880
Speaker 1: the day where I had I had a fever, and

444
00:28:18,920 --> 00:28:22,080
Speaker 1: then I got tested two days later. It took them

445
00:28:22,119 --> 00:28:24,680
Speaker 1: about four days to send me the results. I didn't

446
00:28:24,680 --> 00:28:26,879
Speaker 1: need the results. I had every every symptom in the

447
00:28:26,880 --> 00:28:29,159
Speaker 1: book that you know you're hearing about, the fever to

448
00:28:29,320 --> 00:28:33,960
Speaker 1: dry cough, I had aches and pains, I had tremendously

449
00:28:34,040 --> 00:28:38,520
Speaker 1: bad headache, and so I get the results on Thursday,

450
00:28:39,000 --> 00:28:42,520
Speaker 1: and then that following Sunday comes around and it was

451
00:28:42,600 --> 00:28:45,120
Speaker 1: just the shortness of breath started to get I had

452
00:28:45,160 --> 00:28:47,200
Speaker 1: one of those little finger monitors that monitored my O

453
00:28:47,320 --> 00:28:50,000
Speaker 1: two level, and it got so bad where I had

454
00:28:50,040 --> 00:28:52,440
Speaker 1: to take myself to the hospital. You're you're like classic

455
00:28:52,600 --> 00:28:54,520
Speaker 1: everybody I've talked to, and I've talked to so many

456
00:28:54,560 --> 00:28:57,440
Speaker 1: people late at night, all day long. So how old

457
00:28:57,480 --> 00:29:00,760
Speaker 1: are you, by the way, forty eight former that form

458
00:29:00,800 --> 00:29:05,800
Speaker 1: of any underlying conditions, trainer. I do have a slight asthma,

459
00:29:06,080 --> 00:29:08,160
Speaker 1: but you know, I'm a rescue in hailer that I

460
00:29:08,200 --> 00:29:10,800
Speaker 1: probably used once or twice a year when I'm around cats.

461
00:29:10,840 --> 00:29:13,840
Speaker 1: I think it's that this disease though, especially because it's

462
00:29:13,840 --> 00:29:16,960
Speaker 1: the lungs. How did you get better? How to get better? Well,

463
00:29:16,960 --> 00:29:19,040
Speaker 1: there were many many reasons that got me better, But

464
00:29:19,120 --> 00:29:22,240
Speaker 1: I tell you the first ten days I was just

465
00:29:22,280 --> 00:29:24,760
Speaker 1: taking title an all and that was not working. I

466
00:29:24,840 --> 00:29:27,960
Speaker 1: was getting worse, and I asked for the hydroxy chloroquin

467
00:29:28,040 --> 00:29:30,200
Speaker 1: when I got to the hospital and they said, there's

468
00:29:30,240 --> 00:29:33,280
Speaker 1: no guarantee we're going to give it to you. They actually, uh,

469
00:29:33,880 --> 00:29:37,320
Speaker 1: they diagnosed me with pneumonia. As well, but my numbers

470
00:29:37,320 --> 00:29:39,680
Speaker 1: weren't that bad, I guess in the er. So they said,

471
00:29:39,680 --> 00:29:41,800
Speaker 1: we can send you home, or you can spend the night,

472
00:29:42,320 --> 00:29:44,000
Speaker 1: but there's still no guarantee we're going to give you

473
00:29:44,000 --> 00:29:47,400
Speaker 1: the drug. And it was then that I called a friend,

474
00:29:47,400 --> 00:29:49,680
Speaker 1: a doctor friend, doctor Charles Thorn, from New York City,

475
00:29:49,680 --> 00:29:51,560
Speaker 1: and he said, you should, you should stay to night.

476
00:29:51,640 --> 00:29:54,120
Speaker 1: And I'm glad I took that advice. So they ended

477
00:29:54,160 --> 00:29:56,560
Speaker 1: up giving it to me. They gave me and and

478
00:29:56,680 --> 00:29:58,360
Speaker 1: they didn't give it to me with you know, you

479
00:29:58,400 --> 00:30:00,560
Speaker 1: hear the stories about with zinc or what ze pack.

480
00:30:00,920 --> 00:30:02,960
Speaker 1: They gave it to me straight up. It was twice

481
00:30:02,960 --> 00:30:07,000
Speaker 1: a day for for five days. I didn't day for

482
00:30:07,080 --> 00:30:10,560
Speaker 1: five days, correct. And at the end of those five

483
00:30:10,720 --> 00:30:13,160
Speaker 1: and at the beginning, I'll tell you that first night

484
00:30:13,200 --> 00:30:16,440
Speaker 1: in the hospital, my darkest hour, middle of the night,

485
00:30:16,520 --> 00:30:18,360
Speaker 1: your mind starts to go to that place. You know,

486
00:30:18,440 --> 00:30:21,760
Speaker 1: we've all been there, fear, anxiety, doubt, you question God,

487
00:30:21,880 --> 00:30:25,000
Speaker 1: you see the death tolls. And I didn't allow myself

488
00:30:25,040 --> 00:30:27,200
Speaker 1: to go there though. You know, I had a very

489
00:30:27,240 --> 00:30:29,959
Speaker 1: small conversation with the Lord and I said, simply, if

490
00:30:30,000 --> 00:30:32,160
Speaker 1: this is your will, I'm not ready. I have a

491
00:30:32,160 --> 00:30:34,280
Speaker 1: wife and boys, you know, two boys at home that

492
00:30:34,360 --> 00:30:37,080
Speaker 1: need me and so much more to do. And uh,

493
00:30:37,120 --> 00:30:38,920
Speaker 1: I started getting better each and every day. But there

494
00:30:38,960 --> 00:30:40,960
Speaker 1: were there were many other factors that that led to

495
00:30:41,000 --> 00:30:45,200
Speaker 1: my recovery. But do you from your experience, do you

496
00:30:45,200 --> 00:30:48,200
Speaker 1: think it helped you? Well? Absolutely, I'm not a doctor,

497
00:30:48,400 --> 00:30:50,200
Speaker 1: but I do know that when I didn't take care,

498
00:30:50,560 --> 00:30:54,400
Speaker 1: say that like every second, and he says he, I've

499
00:30:54,440 --> 00:30:56,480
Speaker 1: never said that. I always teled to consult your doctor.

500
00:30:57,080 --> 00:30:58,920
Speaker 1: You know. The the best thing that I got out

501
00:30:58,960 --> 00:31:01,960
Speaker 1: of it was it doesn't hurt people. That's what That's

502
00:31:01,960 --> 00:31:05,720
Speaker 1: what doctor Wallace's letter says. There's no more you know,

503
00:31:06,720 --> 00:31:09,680
Speaker 1: pre eminent expert on this thing than him. And when

504
00:31:09,680 --> 00:31:13,000
Speaker 1: you see there's no harm. Okay, what's a doctor's first mission?

505
00:31:13,360 --> 00:31:16,680
Speaker 1: Do no harm? And what the doctor Ozz always says,

506
00:31:16,680 --> 00:31:18,360
Speaker 1: you got to go to the war with the army

507
00:31:18,400 --> 00:31:20,720
Speaker 1: you got, not the one you wish. We always wish

508
00:31:20,720 --> 00:31:23,520
Speaker 1: we could have those trials. But listen, we're praying for you.

509
00:31:23,880 --> 00:31:27,640
Speaker 1: Get well. Next time I see you, dinners on me. Okay, buddy,

510
00:31:27,720 --> 00:31:29,640
Speaker 1: I'm sorry you went through all that. I'm glad you're better.

511
00:31:30,320 --> 00:31:32,480
Speaker 1: If you could go to at Dan Venizia twenty three

512
00:31:32,520 --> 00:31:35,880
Speaker 1: Instagram and I'm documenting my progress and intention to help

513
00:31:36,040 --> 00:31:39,840
Speaker 1: to help others battling this disease. Appreciate it, all right,

514
00:31:39,920 --> 00:31:42,040
Speaker 1: gotta take a quick break. We'll come back on the

515
00:31:42,080 --> 00:31:45,920
Speaker 1: other side, Doctor Oz with us Nuke gingrich Ore, posters

516
00:31:46,000 --> 00:31:49,360
Speaker 1: here and much more and your call straight ahead, all right,

517
00:31:49,400 --> 00:31:51,560
Speaker 1: our two Sean Hannity Show. Hey, I got to thank

518
00:31:51,560 --> 00:31:56,360
Speaker 1: our friends over a Pure Talk USA. They actually so cool.

519
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Speaker 1: Not only did they give me a plan, they gave

520
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Speaker 1: me a phone. They set it all up for me

521
00:32:01,240 --> 00:32:05,600
Speaker 1: because they must know I'm technically a dope, and I

522
00:32:05,640 --> 00:32:07,280
Speaker 1: mean they're the best of what they do. You get

523
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524
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525
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Speaker 1: You get data options that the big carriers don't offer,

526
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Speaker 1: so you can even save more money. If you don't

527
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Speaker 1: need a lot of data on your phone plan you

528
00:32:24,960 --> 00:32:27,560
Speaker 1: have many phones or family plan phones, you could save

529
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Speaker 1: thousands a year. They're wonderful people. No contract to ever sign.

530
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Speaker 1: The exact and I use that word purposefully exact same

531
00:32:36,120 --> 00:32:39,120
Speaker 1: coverages big carriers, and all you have to do is

532
00:32:39,120 --> 00:32:41,680
Speaker 1: dial pound two fifty. Say the keywords save now, pound

533
00:32:41,680 --> 00:32:43,760
Speaker 1: two fifty keywords save now. And you've got to put

534
00:32:43,760 --> 00:32:45,479
Speaker 1: money in your pocket. And what do I always say?

535
00:32:45,560 --> 00:32:49,920
Speaker 1: Money equals freedom. We bring back our friend cardiac surgeon,

536
00:32:50,000 --> 00:32:55,600
Speaker 1: host of the highly rated Doctor Oz show. Also somebody

537
00:32:55,600 --> 00:32:58,520
Speaker 1: I just have come to admire a lot. I know him.

538
00:32:58,600 --> 00:33:00,960
Speaker 1: I know how hard this may and it works day

539
00:33:01,040 --> 00:33:05,760
Speaker 1: and night. And you know, there's a lot of art

540
00:33:05,840 --> 00:33:09,320
Speaker 1: in medicine. It's not all science all the time. Now

541
00:33:09,560 --> 00:33:12,000
Speaker 1: what I mean by that is, well, what does doctor

542
00:33:12,080 --> 00:33:15,400
Speaker 1: A say says you go to go to war with

543
00:33:15,480 --> 00:33:17,800
Speaker 1: the army you have, not the one you wish you have.

544
00:33:18,760 --> 00:33:21,720
Speaker 1: Now think about that. So it's not like, oh, here

545
00:33:21,840 --> 00:33:26,360
Speaker 1: is the definitive answer. You're looking for answers. You're you're

546
00:33:26,400 --> 00:33:31,280
Speaker 1: looking for what does a doctor's first job do no harm?

547
00:33:32,040 --> 00:33:34,960
Speaker 1: So you're looking for ways that you can thread a

548
00:33:35,040 --> 00:33:38,440
Speaker 1: needle and save a life, save a lot of lives. Um,

549
00:33:38,680 --> 00:33:43,560
Speaker 1: these new numbers are extremely interesting. I think probably too

550
00:33:43,560 --> 00:33:48,000
Speaker 1: early to tell where it's actually going, but I think

551
00:33:48,040 --> 00:33:51,160
Speaker 1: it's something that we should really pay attention to. And um,

552
00:33:51,400 --> 00:33:54,479
Speaker 1: I think it really goes to the heart of well, okay,

553
00:33:55,000 --> 00:33:58,280
Speaker 1: what is the real mortality rate because we now got

554
00:33:58,320 --> 00:34:00,960
Speaker 1: New York City dot gov. They list fifteen thousand, four

555
00:34:01,040 --> 00:34:05,600
Speaker 1: hundred eleven confirmed probable COVID nineteen deaths in New York

556
00:34:06,120 --> 00:34:10,200
Speaker 1: twenty one percent of eight point four million New York

557
00:34:10,280 --> 00:34:13,720
Speaker 1: City residents infected. That's one million, seven hundred and sixty

558
00:34:13,719 --> 00:34:18,000
Speaker 1: four thousand in New York City, which they kind of

559
00:34:18,040 --> 00:34:20,239
Speaker 1: do their numbers different than New York State. Why, I

560
00:34:20,280 --> 00:34:23,160
Speaker 1: don't know the Census Bureau, New York City Department of Health. Anyway,

561
00:34:23,400 --> 00:34:26,640
Speaker 1: it would be an infection fatality rate of zero point

562
00:34:26,640 --> 00:34:30,560
Speaker 1: eight seven for the state of New York. Thirteen point

563
00:34:30,680 --> 00:34:34,200
Speaker 1: nine percent is what the governor said today. Nineteen point

564
00:34:34,239 --> 00:34:37,640
Speaker 1: five million people in New York two million, seven hundred

565
00:34:37,719 --> 00:34:42,200
Speaker 1: three thousand, five hundred and fifty infected, fifteen thousand, seven

566
00:34:42,280 --> 00:34:47,080
Speaker 1: hundred and forty deaths. That infection rate for the state again,

567
00:34:47,200 --> 00:34:50,400
Speaker 1: infection fatality rate at this point in time, zero point

568
00:34:50,400 --> 00:34:53,839
Speaker 1: five eight percent. Now, doctor Oz, I remember people say

569
00:34:54,120 --> 00:34:56,759
Speaker 1: it might be two percent, might be three percent. I

570
00:34:56,800 --> 00:34:59,239
Speaker 1: even heard three point five percent at one point, which

571
00:34:59,280 --> 00:35:05,080
Speaker 1: was really scared. It's betrifying if that had happened. This

572
00:35:05,239 --> 00:35:09,400
Speaker 1: is now the third report with using antibodies and admitted

573
00:35:09,400 --> 00:35:11,560
Speaker 1: the antibody tests are not perfect. But it's the third

574
00:35:11,600 --> 00:35:15,120
Speaker 1: report from here Southern California and Northern California, three areas

575
00:35:15,160 --> 00:35:18,680
Speaker 1: that we're clearly exposed to the virus that has reiterated

576
00:35:18,719 --> 00:35:21,760
Speaker 1: that a lot more people were exposed than were tested,

577
00:35:21,760 --> 00:35:24,799
Speaker 1: improving they've had COVID nineteen. And of course there are

578
00:35:24,800 --> 00:35:27,080
Speaker 1: two possible reasons. Anyone who lives in this area, as

579
00:35:27,080 --> 00:35:29,440
Speaker 1: you and I do, recognizes that from a long time

580
00:35:29,480 --> 00:35:32,319
Speaker 1: we were told not to go to the hospital if

581
00:35:32,320 --> 00:35:34,080
Speaker 1: we thought we might have COVID nineteens. We didn't have

582
00:35:34,200 --> 00:35:35,839
Speaker 1: enough tests and we needed to save those for people

583
00:35:35,840 --> 00:35:38,440
Speaker 1: who really six we can make quick diagnosis. And the

584
00:35:38,480 --> 00:35:39,879
Speaker 1: other reason, of course, is that a lot of people

585
00:35:39,880 --> 00:35:41,799
Speaker 1: don't know they're sick. The symptoms are minor, they don't

586
00:35:41,800 --> 00:35:44,120
Speaker 1: know what they are, or they had no symptoms, and

587
00:35:44,160 --> 00:35:46,560
Speaker 1: so this speaks to the fact that there's a lot

588
00:35:46,600 --> 00:35:49,840
Speaker 1: of folks out there who did better than we expected.

589
00:35:49,880 --> 00:35:52,960
Speaker 1: Two caveats. There's a risk when you say this, because

590
00:35:53,320 --> 00:35:56,400
Speaker 1: there's a you know, it makes a harder tide identify

591
00:35:56,520 --> 00:36:00,360
Speaker 1: people who are suffering COVID nineteen, so they might me

592
00:36:00,600 --> 00:36:02,719
Speaker 1: contaminate people around them. But at the same token, it

593
00:36:02,760 --> 00:36:05,520
Speaker 1: gives you a bit more confidence that most of us

594
00:36:05,560 --> 00:36:08,160
Speaker 1: weather this. And I was struck by that publication from

595
00:36:08,160 --> 00:36:11,120
Speaker 1: north Well, the biggest hospital system in this area, and

596
00:36:11,120 --> 00:36:15,720
Speaker 1: they shared their results with fifty seven hundred cases, and

597
00:36:15,760 --> 00:36:18,719
Speaker 1: they showed that eighty eight percent of people came into

598
00:36:18,760 --> 00:36:21,400
Speaker 1: the hospital. Again, almost nine out of ten people come

599
00:36:21,440 --> 00:36:24,400
Speaker 1: to the hospital had not one, but two chronic underlying

600
00:36:24,400 --> 00:36:27,480
Speaker 1: issues like high blood pressure or high body mass and

601
00:36:27,560 --> 00:36:31,200
Speaker 1: maxture or elevated blood sugar, which speaks the fact that

602
00:36:31,239 --> 00:36:33,360
Speaker 1: we actually have a bit more control over this potentially

603
00:36:33,360 --> 00:36:36,760
Speaker 1: than redially felt to Gotterbi. You get infected with COVID nineteen,

604
00:36:36,800 --> 00:36:38,960
Speaker 1: if you have been able to help yourself by dealing

605
00:36:38,960 --> 00:36:41,080
Speaker 1: with your blood pressure, your diabetes, are lost weight, all

606
00:36:41,120 --> 00:36:43,760
Speaker 1: things that you have some chance of influencing your lifestyle,

607
00:36:44,040 --> 00:36:46,600
Speaker 1: then not you could reduce your incidents of being hurt.

608
00:36:46,640 --> 00:36:49,360
Speaker 1: And that's good news because as the CDs you guidelines

609
00:36:49,480 --> 00:36:52,360
Speaker 1: roll out, you're allowed to leave in phase one and two. Otherwise,

610
00:36:52,480 --> 00:36:56,680
Speaker 1: the people called called vulnerable vulnerable folks aren't supposed to

611
00:36:56,760 --> 00:36:58,319
Speaker 1: leave the house for fear they'll end up in the

612
00:36:58,360 --> 00:37:02,360
Speaker 1: hospital to get COVID nineteen unbelievable. And you know, we

613
00:37:02,440 --> 00:37:04,200
Speaker 1: see the numbers going down, I mean soon as you're

614
00:37:04,200 --> 00:37:06,400
Speaker 1: still talking about a lot of people. But you know,

615
00:37:06,600 --> 00:37:10,080
Speaker 1: it's only this week did New York, you know, finally

616
00:37:10,520 --> 00:37:13,920
Speaker 1: go below five hundred deaths a day since April first,

617
00:37:14,600 --> 00:37:18,160
Speaker 1: today the lowest death rate. We're learning some things. And

618
00:37:18,239 --> 00:37:21,600
Speaker 1: I'm not trying to drag in any political controversy here

619
00:37:21,600 --> 00:37:24,680
Speaker 1: in any way, but there was a New York Post

620
00:37:25,280 --> 00:37:29,080
Speaker 1: editorial today and it talks about, of all the missteps

621
00:37:29,080 --> 00:37:31,719
Speaker 1: in the early days of the coronavirus crisis, the New

622
00:37:31,840 --> 00:37:36,360
Speaker 1: York State Health Department may have committed the worst because

623
00:37:36,360 --> 00:37:40,640
Speaker 1: they were ordering nursing homes to accept residents who tested

624
00:37:40,640 --> 00:37:44,480
Speaker 1: positive for COVID nineteen and instead of quarantining the folks

625
00:37:44,560 --> 00:37:47,680
Speaker 1: most vulnerable to the disease, which we knew that very early.

626
00:37:48,320 --> 00:37:52,879
Speaker 1: The stating in that sense, you know, it was it

627
00:37:52,960 --> 00:37:55,560
Speaker 1: was that was a death sentence for people. In my view,

628
00:37:56,200 --> 00:37:58,520
Speaker 1: eighty five percent of the stage confirmed deaths from the

629
00:37:58,560 --> 00:38:03,160
Speaker 1: bug or people over sixty, and we know that nearly

630
00:38:03,200 --> 00:38:06,200
Speaker 1: a quarter of all corona fatalities coming and nursing adult

631
00:38:06,239 --> 00:38:09,080
Speaker 1: care facilities now compare that too, you know, I know

632
00:38:09,160 --> 00:38:11,560
Speaker 1: that that Ron de Santas. He got criticized because of

633
00:38:11,600 --> 00:38:14,040
Speaker 1: the kids who are on spring break, etc. But what

634
00:38:14,080 --> 00:38:16,919
Speaker 1: they did in Florida is fascinating to me. And let's

635
00:38:16,960 --> 00:38:19,000
Speaker 1: compare it to Michigan. Not I won't compare it to

636
00:38:19,040 --> 00:38:22,560
Speaker 1: New York, but I was worried because of their their

637
00:38:22,800 --> 00:38:25,160
Speaker 1: high population of the elderly people down there. And I've

638
00:38:25,160 --> 00:38:28,000
Speaker 1: been to the villages America's friendliest home town, et cetera.

639
00:38:28,400 --> 00:38:31,719
Speaker 1: But their fatality rate per hundred thousand is four four

640
00:38:31,760 --> 00:38:35,879
Speaker 1: point zero Michigan's twenty seven point zero. And what they

641
00:38:35,920 --> 00:38:40,080
Speaker 1: did early is deploy all of their mobile testing teams

642
00:38:40,080 --> 00:38:43,440
Speaker 1: with the Florida National Guard to long term care facilities.

643
00:38:43,800 --> 00:38:48,239
Speaker 1: Their Division of Emergency Management sent the personal protective equipment

644
00:38:48,480 --> 00:38:51,560
Speaker 1: to their long term care facilities. Immediately. They issued a

645
00:38:51,600 --> 00:38:56,400
Speaker 1: director of requiring all staff that work with residents in

646
00:38:56,680 --> 00:38:59,719
Speaker 1: long term care facilities wear masks, and the Agency for

647
00:39:00,000 --> 00:39:03,879
Speaker 1: Health Administration they were making on site visits everywhere. They

648
00:39:03,920 --> 00:39:07,040
Speaker 1: worked with the villages almost from day one to prevent

649
00:39:07,120 --> 00:39:10,320
Speaker 1: any big outbreak down there and again on every level.

650
00:39:10,719 --> 00:39:14,799
Speaker 1: Current hospitalization ten point three per one hundred thousand, where

651
00:39:14,800 --> 00:39:18,160
Speaker 1: it's thirty three point six in Michigan or I mentioned

652
00:39:18,160 --> 00:39:21,560
Speaker 1: fatalities four point zero to twenty seven. If you look

653
00:39:21,560 --> 00:39:24,880
Speaker 1: at ICU per hundred thousand, it's three point two in Florida,

654
00:39:25,000 --> 00:39:28,799
Speaker 1: thirteen point five in Michigan. That and then learning what

655
00:39:28,800 --> 00:39:32,840
Speaker 1: we learned about New York, it seems like Governor DeSantis

656
00:39:33,000 --> 00:39:38,359
Speaker 1: made a hell of an early smart decision. Well, I'll

657
00:39:38,400 --> 00:39:41,520
Speaker 1: tell you we've understood for a while where the rule

658
00:39:41,560 --> 00:39:43,479
Speaker 1: of one of the population is. You know, they're even

659
00:39:43,520 --> 00:39:47,200
Speaker 1: without this version of the coronavirus. The older chronavirus is

660
00:39:47,239 --> 00:39:50,160
Speaker 1: the ones that circulating in our population that caused sore

661
00:39:50,239 --> 00:39:53,520
Speaker 1: throat and alike. They'll kill thousands of folks a year,

662
00:39:53,600 --> 00:39:58,000
Speaker 1: almost all elderly folks as well. So this fact this

663
00:39:58,200 --> 00:40:01,880
Speaker 1: virus picks on older people, and I think the cautionary

664
00:40:02,880 --> 00:40:06,160
Speaker 1: and big opportunity here is that if you start to

665
00:40:06,200 --> 00:40:08,439
Speaker 1: protect and focus in on people who are most likely

666
00:40:08,480 --> 00:40:12,560
Speaker 1: to suffer badly from being infected, it'll make a disproportionately

667
00:40:12,760 --> 00:40:16,360
Speaker 1: good outcome. I mean, but former Mayor of Mike Bloomberg's

668
00:40:16,400 --> 00:40:18,359
Speaker 1: doing I think is very wise. He's building it out,

669
00:40:18,800 --> 00:40:21,040
Speaker 1: helping to build out the city's testing and tracing programs.

670
00:40:21,080 --> 00:40:23,879
Speaker 1: We have about five hundred contact tracers in New York

671
00:40:23,960 --> 00:40:25,600
Speaker 1: right now, it's just an example, just you know, this

672
00:40:25,680 --> 00:40:28,279
Speaker 1: is extrapolates of the whole country. But imagine if we

673
00:40:28,280 --> 00:40:29,920
Speaker 1: could do forty thousand tests to day, which is the

674
00:40:29,960 --> 00:40:32,600
Speaker 1: goal here, and you know, quadruple at further the number

675
00:40:32,600 --> 00:40:34,960
Speaker 1: of contact tracers. Then you've got people in Florida and

676
00:40:35,120 --> 00:40:40,520
Speaker 1: in Michigan going around first targeting nursing homes, populations at risk.

677
00:40:40,719 --> 00:40:44,160
Speaker 1: We've really days are focused on public transportation, you know,

678
00:40:44,360 --> 00:40:47,239
Speaker 1: and then most importantly help people who test positive not

679
00:40:47,400 --> 00:40:49,080
Speaker 1: have to go back to a place where they're likely

680
00:40:49,120 --> 00:40:52,520
Speaker 1: to infect others. Those moves are hugely effective, as we're

681
00:40:52,520 --> 00:40:54,920
Speaker 1: shown in Florida. So I think those are lessons that

682
00:40:55,280 --> 00:40:57,520
Speaker 1: other governors, I hope are taken into their states. And

683
00:40:57,520 --> 00:40:59,480
Speaker 1: of course we've got the federal CC guidelines, which is

684
00:40:59,600 --> 00:41:02,360
Speaker 1: get too weeks of trending data that you're effective in

685
00:41:02,440 --> 00:41:04,319
Speaker 1: what you're doing, so you keep a score and then

686
00:41:04,400 --> 00:41:06,400
Speaker 1: keep doing it if you if you move that way,

687
00:41:06,560 --> 00:41:09,919
Speaker 1: the ineritive process, I think most Americans get comfortable with this, don't.

688
00:41:10,080 --> 00:41:11,600
Speaker 1: We're gonna have some place and going to pull back,

689
00:41:11,640 --> 00:41:14,080
Speaker 1: and one's going to trust a system because nothing's perfect

690
00:41:14,239 --> 00:41:15,680
Speaker 1: and then we go back and work, back and work

691
00:41:15,680 --> 00:41:18,120
Speaker 1: do we fix this? But eventually all the states will

692
00:41:18,120 --> 00:41:19,920
Speaker 1: be completely open if we do it the right way.

693
00:41:20,480 --> 00:41:24,239
Speaker 1: You know, I know the governor of Georgia, Kemp, has

694
00:41:24,280 --> 00:41:26,200
Speaker 1: taken a lot of heat. I don't get it, to

695
00:41:26,239 --> 00:41:30,360
Speaker 1: be honest, my own pumble opinion. I don't get tattoo

696
00:41:30,400 --> 00:41:34,760
Speaker 1: parlors opening, I really don't. I don't get now salon

697
00:41:34,960 --> 00:41:39,360
Speaker 1: hair salon places opening yet. I want to know more

698
00:41:40,680 --> 00:41:42,759
Speaker 1: I've given you. For example, I think New York City

699
00:41:42,760 --> 00:41:45,920
Speaker 1: faces all these unique challenges, and anyone wants to get

700
00:41:45,920 --> 00:41:49,400
Speaker 1: in a building temperature check, mass clubs in the workplace

701
00:41:49,480 --> 00:41:51,839
Speaker 1: and have the workforce has to stay and work from

702
00:41:51,880 --> 00:41:56,120
Speaker 1: home at least for the interim. Am I missing? And

703
00:41:56,719 --> 00:41:59,399
Speaker 1: when you can get testing on board to the high extent,

704
00:41:59,440 --> 00:42:00,880
Speaker 1: you're gonna have to test people. But then you have

705
00:42:00,920 --> 00:42:04,360
Speaker 1: to test them three days later, right you up? I

706
00:42:04,360 --> 00:42:06,160
Speaker 1: don't know what second test is not clear yet, but

707
00:42:06,280 --> 00:42:08,239
Speaker 1: I'll tell you something. I mean, I'm struggling with this.

708
00:42:08,719 --> 00:42:10,719
Speaker 1: You are as well about my own folks. You know,

709
00:42:10,760 --> 00:42:13,320
Speaker 1: I want I want them safe, I want them feeling comfortable.

710
00:42:13,360 --> 00:42:15,719
Speaker 1: I want them making the choice to come and if

711
00:42:15,760 --> 00:42:17,520
Speaker 1: someone who got to take you know, three different subway

712
00:42:17,880 --> 00:42:20,040
Speaker 1: stops to come to the office. That that's a risk,

713
00:42:20,560 --> 00:42:22,920
Speaker 1: and I want them to feel that this says subways

714
00:42:22,920 --> 00:42:24,920
Speaker 1: are safe before I'll expect that of them. I do

715
00:42:24,960 --> 00:42:28,600
Speaker 1: think a lot of us can work outside the main

716
00:42:28,719 --> 00:42:30,279
Speaker 1: office for used to go to, at least for now.

717
00:42:30,719 --> 00:42:35,239
Speaker 1: But ideally our leadership will create steps that we all

718
00:42:35,280 --> 00:42:38,239
Speaker 1: want to take so we're not challenged. You know, we

719
00:42:38,280 --> 00:42:39,960
Speaker 1: don't have to be brave to do these things. We

720
00:42:40,000 --> 00:42:41,680
Speaker 1: should stay you know what, that makes sense. You know,

721
00:42:41,719 --> 00:42:43,799
Speaker 1: I got a family take care of. I feel that's

722
00:42:43,800 --> 00:42:46,440
Speaker 1: a safe thing for me to do. If not, I'm

723
00:42:46,480 --> 00:42:49,160
Speaker 1: comfortable voicing that opinion of people around me at the

724
00:42:49,200 --> 00:42:53,080
Speaker 1: same culture. But it begins to slowly create expectations that

725
00:42:53,120 --> 00:42:55,319
Speaker 1: are different. None of us thought on I'll even go back.

726
00:42:55,480 --> 00:42:57,880
Speaker 1: I'm marched the first. I challenge anyone listening right now

727
00:42:57,880 --> 00:43:00,719
Speaker 1: to have predicted what happened over the next month. It

728
00:43:00,840 --> 00:43:02,879
Speaker 1: just it's easy to look back and pick on people,

729
00:43:02,920 --> 00:43:05,640
Speaker 1: but there are very very few folks who could actually

730
00:43:05,680 --> 00:43:07,560
Speaker 1: predict that. And whoever they were, I don't think we

731
00:43:07,560 --> 00:43:09,520
Speaker 1: were listening to. So now we are a month into

732
00:43:09,560 --> 00:43:12,040
Speaker 1: this plus into this, and everyone sort of a different

733
00:43:12,040 --> 00:43:13,759
Speaker 1: expectationous and now we got to get everyone the same

734
00:43:13,800 --> 00:43:16,080
Speaker 1: page again to make the next step. Otherwise half the

735
00:43:16,080 --> 00:43:18,759
Speaker 1: population move had won't go and then wind up with

736
00:43:18,840 --> 00:43:23,480
Speaker 1: this argument internally, it's your fault. No, it's your fault. Yeah, well,

737
00:43:23,520 --> 00:43:25,080
Speaker 1: I mean all of that is true, all of that

738
00:43:25,120 --> 00:43:28,840
Speaker 1: would happen. Look, I don't you know a lot of

739
00:43:28,840 --> 00:43:33,120
Speaker 1: people go to this. I don't like the fact that

740
00:43:33,160 --> 00:43:35,920
Speaker 1: there's been so much criticism of the president. I think

741
00:43:35,960 --> 00:43:37,960
Speaker 1: a lot of it. I think, you know, the travel band,

742
00:43:38,000 --> 00:43:40,319
Speaker 1: it's incalculable how much worse this could have been. To me,

743
00:43:40,840 --> 00:43:42,960
Speaker 1: how many more Americans would have been infected? And he

744
00:43:43,040 --> 00:43:45,600
Speaker 1: got the crappied out of him, And you know, Democrats

745
00:43:45,680 --> 00:43:49,960
Speaker 1: politicized it. But you know, I know you respect Anthony Fauci,

746
00:43:50,000 --> 00:43:52,400
Speaker 1: and I'm not being critical, I promise you. But he

747
00:43:52,520 --> 00:43:55,239
Speaker 1: was even say in February twenty ninth, yeah, the risk

748
00:43:55,320 --> 00:43:57,600
Speaker 1: is low. In March nineth he said, yeah, young healthy

749
00:43:57,640 --> 00:44:01,279
Speaker 1: people can take a cruise. China lied to us. That

750
00:44:01,360 --> 00:44:04,520
Speaker 1: was a big part of it, wasn't it. I don't

751
00:44:04,520 --> 00:44:07,000
Speaker 1: think we had good insight and what was really happening,

752
00:44:07,000 --> 00:44:08,560
Speaker 1: not just in China, but around the world. I think

753
00:44:08,560 --> 00:44:10,640
Speaker 1: a lot of folks were You know, it's hard to

754
00:44:10,680 --> 00:44:13,560
Speaker 1: judge motivation. You can only judge action. But I don't

755
00:44:13,560 --> 00:44:15,960
Speaker 1: think most of us had a deep appreciation of what

756
00:44:16,040 --> 00:44:17,839
Speaker 1: was going on, and a lot of it I gotta

757
00:44:17,840 --> 00:44:19,560
Speaker 1: say it was driven by the fact that we didn't

758
00:44:19,560 --> 00:44:22,040
Speaker 1: have any testing. So for my best guests, we had,

759
00:44:22,320 --> 00:44:25,319
Speaker 1: you know, tens of thousands of cases in New York

760
00:44:25,360 --> 00:44:27,480
Speaker 1: before we realized we had a problem. It might have

761
00:44:27,560 --> 00:44:30,279
Speaker 1: been more. And look at those numbers, you think, oh

762
00:44:30,320 --> 00:44:32,120
Speaker 1: my goodness. You know, there's a huge force fire and

763
00:44:32,160 --> 00:44:35,799
Speaker 1: we didn't smell the flames or the chart ember while

764
00:44:35,840 --> 00:44:37,960
Speaker 1: we were trying to figure out how to slowly gently

765
00:44:37,960 --> 00:44:42,319
Speaker 1: shut down. Meanwhile, you know, the infrastructure was burning up. Yeah. Well,

766
00:44:42,360 --> 00:44:44,239
Speaker 1: I want to thank you. I know that you your

767
00:44:44,280 --> 00:44:46,240
Speaker 1: work day and night. I know you're looking for answers.

768
00:44:46,280 --> 00:44:48,319
Speaker 1: I know you care about health. Oh last thing, you

769
00:44:48,400 --> 00:44:51,360
Speaker 1: agree with me. The best thing everybody can do is

770
00:44:51,400 --> 00:44:54,600
Speaker 1: lose weight. Right now, I don't have a pannasee. I

771
00:44:54,640 --> 00:44:56,640
Speaker 1: did it with the NJ diet. It's a pain in

772
00:44:56,680 --> 00:44:58,960
Speaker 1: the neck. I hate it. You don't drink for forty

773
00:44:59,040 --> 00:45:02,120
Speaker 1: days and you know, like three point five ounces a

774
00:45:02,320 --> 00:45:05,319
Speaker 1: protein a day, two twelve ounce portion of vegetables a day,

775
00:45:05,360 --> 00:45:08,440
Speaker 1: and two fruits a day. That's it, um, And I

776
00:45:08,520 --> 00:45:10,200
Speaker 1: lost the weight and I've been able to keep it off.

777
00:45:10,239 --> 00:45:12,360
Speaker 1: I just want people to be healthy, live longer lives.

778
00:45:12,360 --> 00:45:15,279
Speaker 1: And isn't that one of the best things you can do? Yeah,

779
00:45:15,320 --> 00:45:17,480
Speaker 1: it might be the easiest, simplest thing to do right now.

780
00:45:17,560 --> 00:45:19,840
Speaker 1: And I tell you it's good for you anyway. And frankly,

781
00:45:19,880 --> 00:45:21,520
Speaker 1: you pick a way that works for you. We've got

782
00:45:21,560 --> 00:45:24,360
Speaker 1: lots of programs your opposite showing have had great success

783
00:45:24,360 --> 00:45:28,279
Speaker 1: with this. You lit a greyhound these days. But yeah, yeah, yeah,

784
00:45:28,920 --> 00:45:33,880
Speaker 1: not exactly. A lot of people sitting at home. How

785
00:45:33,880 --> 00:45:35,400
Speaker 1: do how do I make a difference? This is a

786
00:45:35,400 --> 00:45:36,960
Speaker 1: good way of doing it. You know what I do.

787
00:45:37,040 --> 00:45:39,719
Speaker 1: I drink a lot of chicken broth. That may sound stupid, right,

788
00:45:39,840 --> 00:45:41,680
Speaker 1: I drink a ton of the not at all, you know,

789
00:45:42,400 --> 00:45:44,720
Speaker 1: very effective as they full your stomach and you actually

790
00:45:44,760 --> 00:45:46,960
Speaker 1: digest them slower. So it's one of the smartest things

791
00:45:46,960 --> 00:45:49,920
Speaker 1: you can do, soups and broths. No, I honestly, it's

792
00:45:49,960 --> 00:45:52,920
Speaker 1: just ton. By the way, everyone's laughing. My whole staff

793
00:45:52,960 --> 00:45:55,439
Speaker 1: mocking me because you call me a grayhound. Thanks a lot,

794
00:45:56,320 --> 00:45:58,200
Speaker 1: all right, doctor us, thanks for all I know you

795
00:45:58,320 --> 00:46:02,080
Speaker 1: worked day and night helping people. Let's see, you were

796
00:46:02,120 --> 00:46:04,000
Speaker 1: born to do this. I can see it. I know

797
00:46:04,080 --> 00:46:06,719
Speaker 1: your passion behind it. I wish everybody knew the side

798
00:46:06,719 --> 00:46:08,239
Speaker 1: of you that I now know, and thank you for

799
00:46:08,280 --> 00:46:10,560
Speaker 1: all you do as we roll along eight hundred and

800
00:46:10,600 --> 00:46:13,319
Speaker 1: nine for one sean toll free telephone number. You want

801
00:46:13,320 --> 00:46:15,719
Speaker 1: to be a part of the program so much that, um,

802
00:46:17,040 --> 00:46:20,000
Speaker 1: you know, I'm talking a lot of friends, Linda. We

803
00:46:20,000 --> 00:46:24,520
Speaker 1: were discussing this earlier too. Everybody's like, man, like, everyone

804
00:46:24,600 --> 00:46:27,720
Speaker 1: needs a break every you know, And when they attacked Ellen,

805
00:46:27,800 --> 00:46:29,880
Speaker 1: I'm like, really, now we're going to attack Ellen for

806
00:46:30,000 --> 00:46:33,439
Speaker 1: telling a joke? Yeah, I think people I want to say,

807
00:46:34,239 --> 00:46:38,760
Speaker 1: don't stop telling jokes. Keep doing it. They've just taken

808
00:46:38,800 --> 00:46:40,960
Speaker 1: themselves too seriously. I mean, her job is to be

809
00:46:41,000 --> 00:46:43,319
Speaker 1: a comedian. It's to provide levity in a time of

810
00:46:43,840 --> 00:46:46,400
Speaker 1: you know, struggle, and people are freaking out, they're upset,

811
00:46:46,800 --> 00:46:49,319
Speaker 1: So why shouldn't she tell a joke. She's doing all

812
00:46:49,360 --> 00:46:52,480
Speaker 1: the right things, she's practicing social distancing, she's in her

813
00:46:52,480 --> 00:46:54,480
Speaker 1: home and she's making fun of herself. I mean, what

814
00:46:54,640 --> 00:46:57,400
Speaker 1: is the big deal. I mean, honestly, I mean that's

815
00:46:57,440 --> 00:46:59,480
Speaker 1: what I'm like. I'm looking at people, and then this

816
00:46:59,560 --> 00:47:01,800
Speaker 1: is what else here? You're doing it from a mansion?

817
00:47:02,120 --> 00:47:06,480
Speaker 1: All right, well, okay, that's where she lives. God forbid,

818
00:47:06,600 --> 00:47:12,200
Speaker 1: somebody be successful would live in a tent. Exactly. People.

819
00:47:12,680 --> 00:47:15,080
Speaker 1: She doesn't care about the suffering of others. I'm like,

820
00:47:15,320 --> 00:47:20,280
Speaker 1: she's actually trying to relieve the constant stress. And quite frankly,

821
00:47:20,360 --> 00:47:22,640
Speaker 1: she's a very giving person. She gives a lot to

822
00:47:22,760 --> 00:47:25,560
Speaker 1: a lot. She gave a million dollars for COVID reliefs.

823
00:47:25,560 --> 00:47:29,160
Speaker 1: So everyone needs to shut up and leave Ellen alone. Ellen,

824
00:47:29,200 --> 00:47:31,120
Speaker 1: if you ever hear of Sean Hannity talking about you,

825
00:47:31,160 --> 00:47:56,560
Speaker 1: please keep telling jokes. Oh Hannity, last big government. This

826
00:47:56,920 --> 00:48:01,280
Speaker 1: is the Sean Hannity Show, twenty five Now till the

827
00:48:01,320 --> 00:48:03,440
Speaker 1: top of the hour, toll free. It's eight hundred and

828
00:48:03,520 --> 00:48:05,440
Speaker 1: ninety four one, Shawn. If you want to be a

829
00:48:05,520 --> 00:48:11,760
Speaker 1: part of this extravaganza, you know, early on former Speaker

830
00:48:11,760 --> 00:48:13,839
Speaker 1: of the House, he'd been a dear friend of mine.

831
00:48:13,880 --> 00:48:15,600
Speaker 1: I mean, he's like family to me. At this point,

832
00:48:16,680 --> 00:48:18,920
Speaker 1: I'll forever be so proud of the fact that I

833
00:48:19,000 --> 00:48:24,160
Speaker 1: was the MC the night that Nuke Gingrich became Speaker

834
00:48:24,160 --> 00:48:27,080
Speaker 1: of the House in nineteen ninety four. I was the

835
00:48:27,160 --> 00:48:30,960
Speaker 1: MC of that event that night. I think it was

836
00:48:31,000 --> 00:48:33,680
Speaker 1: the Cobb Galleria Center. My mind's not that. My mind's

837
00:48:33,719 --> 00:48:37,640
Speaker 1: not as bad as Joe's. And we just have been

838
00:48:37,640 --> 00:48:41,600
Speaker 1: friends all throughout and we've had parallel lives careers. He's

839
00:48:41,640 --> 00:48:45,520
Speaker 1: a mentor, he's smart as hell, a great historian, and

840
00:48:45,640 --> 00:48:50,920
Speaker 1: he also gave this country a very very accurate, dire

841
00:48:51,200 --> 00:48:55,520
Speaker 1: warning and it helped. And that was he was in Italy,

842
00:48:57,920 --> 00:49:01,280
Speaker 1: his wife Callister's we all know his ambassador to the Vatican,

843
00:49:01,360 --> 00:49:05,680
Speaker 1: the Holy Scene, and he warned us about what was

844
00:49:05,719 --> 00:49:08,000
Speaker 1: going on in Italy and he goes, you better take

845
00:49:08,040 --> 00:49:14,880
Speaker 1: it seriously. Got in touch with everybody from the President, Congress, Senate,

846
00:49:15,440 --> 00:49:20,800
Speaker 1: everybody got the lowdown. And to that extent, mister Speaker,

847
00:49:20,840 --> 00:49:22,840
Speaker 1: we owe you as a country a data gratitude. And

848
00:49:22,920 --> 00:49:25,560
Speaker 1: I know you did it. You affirm you are tough.

849
00:49:26,200 --> 00:49:29,520
Speaker 1: You said it loudly, and you are very clear, and

850
00:49:29,560 --> 00:49:33,440
Speaker 1: I think people listen to you well. Thank you. I

851
00:49:33,480 --> 00:49:36,319
Speaker 1: think that's probably right. And you know I'm talking to

852
00:49:36,360 --> 00:49:38,680
Speaker 1: you from Rome where chlifts and I are still This

853
00:49:38,880 --> 00:49:41,920
Speaker 1: is our seventh week of an effect being locked in

854
00:49:41,960 --> 00:49:47,000
Speaker 1: the house. They're slowly starting to get better, but it's

855
00:49:47,000 --> 00:49:50,279
Speaker 1: been a really long grind. I will say, by the way,

856
00:49:50,280 --> 00:49:52,839
Speaker 1: to any of Clifton's fans, that she has a great

857
00:49:52,880 --> 00:49:56,560
Speaker 1: new picture on Facebook, because today she had a dental

858
00:49:56,560 --> 00:50:00,239
Speaker 1: emergency and in the middle of the pandemic, if you

859
00:50:00,280 --> 00:50:02,960
Speaker 1: go to the dentist, they really wrap you up, and

860
00:50:03,000 --> 00:50:04,960
Speaker 1: they took a picture of her, which those of you

861
00:50:05,000 --> 00:50:08,759
Speaker 1: who know her, well, we'll find a collector's item. But

862
00:50:08,840 --> 00:50:11,799
Speaker 1: it's also just a reminder. This is changing, you know,

863
00:50:12,200 --> 00:50:16,359
Speaker 1: this experience is changing something for every one of us

864
00:50:17,040 --> 00:50:19,759
Speaker 1: everywhere in the world. And we should start with that

865
00:50:19,920 --> 00:50:23,480
Speaker 1: recognition that we're going to rebuild America and we're going

866
00:50:23,560 --> 00:50:26,680
Speaker 1: to rebuild the world. But it's from a new baseline

867
00:50:27,239 --> 00:50:32,640
Speaker 1: forced on us by the Chinese dishonesty and the Chinese manipulation,

868
00:50:33,120 --> 00:50:38,719
Speaker 1: which has caused unbelievable human and financial costs. You know

869
00:50:38,920 --> 00:50:41,200
Speaker 1: it really and nobody saw, you know. I like the

870
00:50:41,239 --> 00:50:44,960
Speaker 1: way the President characterizes this as an invisible enemy. Look,

871
00:50:45,000 --> 00:50:49,520
Speaker 1: it's the same predictable people that have sadly politicized this.

872
00:50:50,440 --> 00:50:54,600
Speaker 1: It is incalculable to me the number of lives that

873
00:50:54,640 --> 00:51:01,799
Speaker 1: were saved, the number of Americans the President's travel ban

874
00:51:02,000 --> 00:51:04,880
Speaker 1: ten days after the first identified case of corona in

875
00:51:04,880 --> 00:51:08,160
Speaker 1: the United States. I've been brought in. People were in

876
00:51:08,200 --> 00:51:12,480
Speaker 1: the room. I've talked to and not a single person

877
00:51:12,560 --> 00:51:16,399
Speaker 1: agreed with the President about the travel ban, not one.

878
00:51:17,040 --> 00:51:21,440
Speaker 1: And he did it anyway. And that one decision you,

879
00:51:23,640 --> 00:51:26,000
Speaker 1: I can tell you because Klist and I are right

880
00:51:26,040 --> 00:51:30,239
Speaker 1: here in Italy where the Italian government for political correctness

881
00:51:30,880 --> 00:51:34,400
Speaker 1: took the opposite track. They had one hundred thousand Chinese

882
00:51:34,400 --> 00:51:37,640
Speaker 1: workers in northern Italy. They allowed the airplanes to keep

883
00:51:37,640 --> 00:51:41,440
Speaker 1: coming from Uhan three flights a week for weeks after

884
00:51:41,480 --> 00:51:44,800
Speaker 1: the pandemic occurred, and they were just flying in the disease.

885
00:51:45,000 --> 00:51:48,279
Speaker 1: I mean, you look at the impact in Italy, a

886
00:51:48,440 --> 00:51:51,680
Speaker 1: much smaller country, less than one fifth the size the

887
00:51:51,719 --> 00:51:54,160
Speaker 1: United States, and you look at how close they came

888
00:51:54,200 --> 00:51:57,120
Speaker 1: to collapsing totally. And it's because they didn't have a

889
00:51:57,200 --> 00:52:00,360
Speaker 1: Donald Trump who had the courage to say, I'm going

890
00:52:00,440 --> 00:52:03,040
Speaker 1: to protect people in my own country. And I think

891
00:52:03,239 --> 00:52:07,000
Speaker 1: no historian is going to look back and ever say

892
00:52:07,000 --> 00:52:09,960
Speaker 1: that the President was wrong. It was the right decision.

893
00:52:10,000 --> 00:52:12,399
Speaker 1: It took a lot of guts, and people like Joe

894
00:52:12,440 --> 00:52:14,600
Speaker 1: Biden and others all attacked him when he did it,

895
00:52:15,239 --> 00:52:18,320
Speaker 1: and their efforts nowadays are pathetic to try to hide

896
00:52:18,320 --> 00:52:22,160
Speaker 1: from their responsibility because their strategy would have led to

897
00:52:22,200 --> 00:52:26,160
Speaker 1: a lot more Americans dying. You know what bothers me

898
00:52:26,200 --> 00:52:28,560
Speaker 1: and I think every Kennedy. We're one hundred and ninety

899
00:52:28,560 --> 00:52:31,080
Speaker 1: four days away from an election, and right now, I

900
00:52:31,239 --> 00:52:35,040
Speaker 1: know nobody's really focused on it except the Democrats. But

901
00:52:35,520 --> 00:52:39,600
Speaker 1: there's such a level of intellectual dishonesty because I think

902
00:52:39,640 --> 00:52:43,319
Speaker 1: every Democratic candidate, Congress, Senate, local, whatever, it doesn't matter.

903
00:52:43,400 --> 00:52:50,360
Speaker 1: Joe Biden was in retrospect, was the racist, hystericals, xenophobic

904
00:52:51,480 --> 00:52:56,239
Speaker 1: and fear mongering travel ban in retrospect was the right call?

905
00:52:57,000 --> 00:53:00,720
Speaker 1: What did Donald Trump do right here? Because mister speaker,

906
00:53:01,280 --> 00:53:05,080
Speaker 1: we in a month's period of time. Remember Anthony Fauci said,

907
00:53:05,200 --> 00:53:08,680
Speaker 1: you know, the risk is low. On February twenty ninth,

908
00:53:09,080 --> 00:53:11,680
Speaker 1: Remember you know Andrew Cuomo said, I don't know, we're prepared.

909
00:53:11,680 --> 00:53:13,879
Speaker 1: We don't like these other countries. We're New Yorkers. We're

910
00:53:13,880 --> 00:53:17,520
Speaker 1: New Yorkers. You know, look what happened in New York.

911
00:53:18,000 --> 00:53:20,920
Speaker 1: That was March second, Anderson Cooper fake newc and in

912
00:53:21,040 --> 00:53:25,320
Speaker 1: March fourth was saying that you should worry more about

913
00:53:25,320 --> 00:53:29,480
Speaker 1: the flu than Corona. March ninth, Anthony Fauci, who we

914
00:53:29,520 --> 00:53:32,400
Speaker 1: all respect, said yeah, if you're young and healthy, can

915
00:53:32,440 --> 00:53:35,560
Speaker 1: go on a cruise. And in a month's period of time,

916
00:53:35,600 --> 00:53:39,400
Speaker 1: the president built twenty five thousand hospital beds around the country,

917
00:53:39,680 --> 00:53:42,400
Speaker 1: the biggest hospital, the Javits Center in the country, and

918
00:53:43,040 --> 00:53:48,080
Speaker 1: manned it all personnel from from Trump, from the federal government.

919
00:53:48,680 --> 00:53:52,240
Speaker 1: Then they converted it to COVID nineteen. Then the comfort

920
00:53:52,800 --> 00:53:54,759
Speaker 1: was sent to New York Harbor. Then they converted that

921
00:53:54,800 --> 00:54:00,280
Speaker 1: for COVID nineteen. The millions of masks, respirators, the gall owns,

922
00:54:00,280 --> 00:54:04,920
Speaker 1: the gloves, the medicines, all. No state was ready at all.

923
00:54:04,960 --> 00:54:07,560
Speaker 1: They had nothing, and they did it in four weeks,

924
00:54:07,680 --> 00:54:11,919
Speaker 1: the largest medical mobilization in history. And not one thing

925
00:54:12,040 --> 00:54:14,640
Speaker 1: can anybody in the mob, in the media, or the Democrats.

926
00:54:14,920 --> 00:54:17,440
Speaker 1: You know, Nancy Pelosi with her designer ice cream on

927
00:54:17,520 --> 00:54:20,880
Speaker 1: comedy shows, the laying aid so she can change election

928
00:54:20,920 --> 00:54:24,040
Speaker 1: and immigration laws and give money to the endowments for

929
00:54:24,080 --> 00:54:27,200
Speaker 1: the arts and humanities and the Kennedy Center. They didn't

930
00:54:27,200 --> 00:54:29,960
Speaker 1: do a thing. They were impeaching him. She was ripping

931
00:54:30,040 --> 00:54:32,960
Speaker 1: up his speech while he was talking about Corona. She

932
00:54:33,080 --> 00:54:36,600
Speaker 1: was telling people in Chinatown February twenty fourth that, Oh,

933
00:54:36,680 --> 00:54:40,520
Speaker 1: come to Chinatown. I'm you know, I'll let you talk

934
00:54:40,560 --> 00:54:42,880
Speaker 1: about I'm thinking it angers me. You have no idea.

935
00:54:42,920 --> 00:54:48,040
Speaker 1: They're so dishonest, they're such liars in my view, Well,

936
00:54:48,080 --> 00:54:51,400
Speaker 1: look I think that's all true. Look, I had Tony

937
00:54:51,440 --> 00:54:53,960
Speaker 1: Fouch's you know, I do a weekly podcast that's a

938
00:54:54,080 --> 00:54:58,000
Speaker 1: niche world. Is an old friend and we'd worked on

939
00:54:58,160 --> 00:55:01,320
Speaker 1: hidads back in the nineteen eighties, and he said in

940
00:55:01,480 --> 00:55:05,840
Speaker 1: early February that this looked a lot like stars. It

941
00:55:06,000 --> 00:55:08,440
Speaker 1: was going to be controllable. There was not something to

942
00:55:08,520 --> 00:55:11,480
Speaker 1: panic about. But the reason he said that we should

943
00:55:11,480 --> 00:55:15,600
Speaker 1: never forget this, the reason experts like Fauci said that

944
00:55:16,440 --> 00:55:22,120
Speaker 1: is because the Chinese Communist dictatorship was methodically and deliberately

945
00:55:22,600 --> 00:55:26,520
Speaker 1: lying to the world. I personally believe the at least

946
00:55:26,560 --> 00:55:28,880
Speaker 1: one hundred and sixty or one hundred and seventy thousand

947
00:55:28,880 --> 00:55:33,040
Speaker 1: people dead today because of the Chinese Communist dictatorship, and

948
00:55:33,080 --> 00:55:37,600
Speaker 1: that we need to recognize how truly destructive and how

949
00:55:37,680 --> 00:55:40,520
Speaker 1: dishonest they were, and that they were the starting point.

950
00:55:40,520 --> 00:55:42,879
Speaker 1: I remember at that point in time, people like Joe

951
00:55:42,920 --> 00:55:45,960
Speaker 1: Biden were defending them and protecting them and say hello,

952
00:55:46,200 --> 00:55:50,319
Speaker 1: I said, let's not be a hostile to these people. Well,

953
00:55:50,320 --> 00:55:53,799
Speaker 1: the truth is what they were doing was deliberate, I think,

954
00:55:53,920 --> 00:55:58,160
Speaker 1: and malicious. They were the doctors who warned about this

955
00:55:58,320 --> 00:56:01,360
Speaker 1: virus were locked up and they were told, you know,

956
00:56:01,520 --> 00:56:03,400
Speaker 1: you're not going to get out until you sign something

957
00:56:03,719 --> 00:56:06,600
Speaker 1: to say that what you said was not true. It's

958
00:56:06,680 --> 00:56:09,680
Speaker 1: just unbelievable when you go back and look and how

959
00:56:09,719 --> 00:56:13,520
Speaker 1: bad the dictatorship. How should we the courage to exactly

960
00:56:13,600 --> 00:56:16,799
Speaker 1: at all? You and you and the President and you,

961
00:56:16,960 --> 00:56:19,440
Speaker 1: I'd say one and two were the two people that

962
00:56:19,520 --> 00:56:23,200
Speaker 1: have been warning us about China the longest, both of you.

963
00:56:23,880 --> 00:56:27,120
Speaker 1: Now the question is, well, they hold a lot of

964
00:56:27,160 --> 00:56:31,680
Speaker 1: our debt. I don't think we pay it back? Can

965
00:56:31,719 --> 00:56:34,160
Speaker 1: we do that? I just, first of all, as you know,

966
00:56:34,200 --> 00:56:36,800
Speaker 1: I wrote a book on Trump versus China back in October,

967
00:56:37,200 --> 00:56:39,799
Speaker 1: how aligning how bad they would be, and then they

968
00:56:39,840 --> 00:56:42,320
Speaker 1: have lived out exactly what I described from the book.

969
00:56:43,000 --> 00:56:46,440
Speaker 1: I just did an article this week on newsletter and

970
00:56:46,560 --> 00:56:50,799
Speaker 1: made the argument that they are clearly guilty and that

971
00:56:50,880 --> 00:56:54,680
Speaker 1: we should both create a right of suit for private citizens,

972
00:56:55,080 --> 00:56:57,600
Speaker 1: so every family who's lost somebody should be able to

973
00:56:57,600 --> 00:57:01,239
Speaker 1: suit become thiss dictatorship. In the case of the Lockerbie

974
00:57:03,760 --> 00:57:08,080
Speaker 1: terrorist bombing, govern it amounted to about amounted about eight

975
00:57:08,160 --> 00:57:11,800
Speaker 1: million dollars per person, and then after inflation that we

976
00:57:11,880 --> 00:57:15,920
Speaker 1: probably about eleven million to day. And then second, every

977
00:57:15,960 --> 00:57:18,520
Speaker 1: government in the world, not just the US government, every

978
00:57:18,560 --> 00:57:21,280
Speaker 1: government in the world, the Italian, the Spanish, you name it,

979
00:57:21,720 --> 00:57:27,360
Speaker 1: should calculate the economic cost of Chinese communist dishonesty, and

980
00:57:27,520 --> 00:57:31,280
Speaker 1: we should charge them for that. We can frankly impound

981
00:57:31,400 --> 00:57:34,640
Speaker 1: the debt that they hold, We can impound all their

982
00:57:34,640 --> 00:57:39,000
Speaker 1: assets in the United States. We can establish a virus

983
00:57:39,120 --> 00:57:44,760
Speaker 1: debt repayment tariff and say to them until we collect

984
00:57:44,800 --> 00:57:48,320
Speaker 1: what you have cost us, we're going to not allow

985
00:57:48,360 --> 00:57:52,000
Speaker 1: you to ever send anything under traditional rules. Period. But

986
00:57:52,560 --> 00:57:55,680
Speaker 1: it would be a disaster for the world if the

987
00:57:55,720 --> 00:57:59,080
Speaker 1: dictatorship in China was to taught the lesson that they

988
00:57:59,080 --> 00:58:02,320
Speaker 1: could lie to everybody, kill one hundreds of thousands of

989
00:58:02,360 --> 00:58:04,280
Speaker 1: people and it will be over two hundred thousand before

990
00:58:04,360 --> 00:58:07,520
Speaker 1: this is done, cost the rest of the world trillions

991
00:58:07,560 --> 00:58:12,240
Speaker 1: of dollars, and have nothing done, and that's an enormous

992
00:58:12,320 --> 00:58:16,040
Speaker 1: danger because our friends on the left just can't bring

993
00:58:16,080 --> 00:58:21,200
Speaker 1: themselves to defend America against the Chinese communist dictatorship. Let

994
00:58:21,200 --> 00:58:23,840
Speaker 1: me ask you, because I think this is very very important.

995
00:58:24,960 --> 00:58:28,760
Speaker 1: If we do all of that, what consequences are they

996
00:58:28,800 --> 00:58:30,960
Speaker 1: we're gonna you know, is that going to be viewed

997
00:58:31,000 --> 00:58:32,400
Speaker 1: as an act of war? Because I think one of

998
00:58:32,720 --> 00:58:36,320
Speaker 1: you know, beyond lying. Remember there was a studying out

999
00:58:36,320 --> 00:58:38,800
Speaker 1: of Great Britain. It said ninety five percent of this

1000
00:58:38,920 --> 00:58:42,320
Speaker 1: could have all been prevented. Have they invited in the

1001
00:58:42,360 --> 00:58:47,200
Speaker 1: world's experts? And I asked the Secretary of State, Mike Pompeo,

1002
00:58:47,240 --> 00:58:48,440
Speaker 1: if they gave you a call and said, hey, we

1003
00:58:48,480 --> 00:58:50,680
Speaker 1: need help, what you have done it? He said, we

1004
00:58:50,680 --> 00:58:54,440
Speaker 1: would have sent our best. But they did that, but

1005
00:58:54,480 --> 00:58:57,760
Speaker 1: then they cut off. We offered to send people, right

1006
00:58:58,200 --> 00:59:02,120
Speaker 1: but they remember when they did this, though, they would

1007
00:59:02,120 --> 00:59:07,200
Speaker 1: not allow travel to or within China, to Wuhan or

1008
00:59:07,280 --> 00:59:09,880
Speaker 1: Wuhan to any part of China, but they kept open

1009
00:59:09,960 --> 00:59:16,200
Speaker 1: international flights, so they knew it was dangerous, right right, Look,

1010
00:59:16,280 --> 00:59:19,280
Speaker 1: I think you have to have an assumption here that

1011
00:59:19,800 --> 00:59:24,240
Speaker 1: the Chinese time ins dictatorship was deliberately and methodically lying

1012
00:59:24,880 --> 00:59:27,800
Speaker 1: that has been manipulating this entire situation for at least

1013
00:59:27,840 --> 00:59:30,520
Speaker 1: four months. And when people say to me, well, what

1014
00:59:30,560 --> 00:59:33,959
Speaker 1: if they retaliate Atlance, is really simple, If we an't

1015
00:59:33,960 --> 00:59:36,640
Speaker 1: got the guts to stand up to them, now, what

1016
00:59:36,720 --> 00:59:38,400
Speaker 1: are they going to be like ten or twenty years

1017
00:59:38,400 --> 00:59:42,720
Speaker 1: from now. I mean, this is a decisive turning point.

1018
00:59:42,760 --> 00:59:46,440
Speaker 1: And it's exactly what Churchill talked about in terms of

1019
00:59:46,480 --> 00:59:50,160
Speaker 1: Hitler in the thirties. I mean, you reach a point

1020
00:59:50,680 --> 00:59:53,240
Speaker 1: when you either stand up for your principles and you

1021
00:59:53,280 --> 00:59:56,919
Speaker 1: stand up for what's right, or you allow the dictatorship

1022
00:59:56,960 --> 00:59:59,360
Speaker 1: to dominate. It's exactly what Harry Truman has faced with

1023
00:59:59,440 --> 01:00:02,680
Speaker 1: them the late He could have caved into Stalin, he

1024
01:00:02,720 --> 01:00:05,240
Speaker 1: could have given up Berlin, he could have allowed the

1025
01:00:05,240 --> 01:00:08,200
Speaker 1: Soviets to dominate. And he said now, and he took

1026
01:00:08,240 --> 01:00:10,400
Speaker 1: the risk, and a lot of people said, now, boy,

1027
01:00:10,440 --> 01:00:11,960
Speaker 1: that's really a big risk. Will let me tell you,

1028
01:00:12,560 --> 01:00:16,400
Speaker 1: it's a big risk to take on the Chinese Communist dictatorship,

1029
01:00:16,600 --> 01:00:19,600
Speaker 1: and it's a bigger risk to not take on the

1030
01:00:19,680 --> 01:00:24,840
Speaker 1: Chinese Communist dictatorship. I've never seen the mob as bad

1031
01:00:24,880 --> 01:00:28,520
Speaker 1: as they are in the media and Democrats as awful

1032
01:00:28,800 --> 01:00:31,600
Speaker 1: as they have been all throughout this. We have an

1033
01:00:31,600 --> 01:00:35,800
Speaker 1: election in one hundred ninety four days. How these are

1034
01:00:35,960 --> 01:00:39,800
Speaker 1: uncharted territories, that we're in unchartered waters, rather that we're

1035
01:00:39,840 --> 01:00:45,760
Speaker 1: in here and uncharted territory. What is your guest? How

1036
01:00:45,760 --> 01:00:49,920
Speaker 1: does this play out? You see the vitriol Donald Trump

1037
01:00:49,920 --> 01:00:51,880
Speaker 1: could do nothing right. They wouldn't give him credit for

1038
01:00:51,960 --> 01:00:58,440
Speaker 1: anything right. Have three quick points. One, Trump is the

1039
01:00:58,440 --> 01:01:03,680
Speaker 1: most hated president Abraham Lincoln. As Alan Guelzo, a great

1040
01:01:03,720 --> 01:01:06,960
Speaker 1: scholar at Princeton, has pointed out, you have to go

1041
01:01:07,000 --> 01:01:10,960
Speaker 1: back to the slave owner newspapers in South Carolina attacking

1042
01:01:11,000 --> 01:01:13,959
Speaker 1: Lincoln in eighteen sixty to have anything like the level

1043
01:01:14,000 --> 01:01:16,439
Speaker 1: of vitriol you get out of the modern left. So

1044
01:01:16,560 --> 01:01:19,200
Speaker 1: that's part one. They hate him. They get up every

1045
01:01:19,200 --> 01:01:21,400
Speaker 1: morning they know they hate him. They're not sure what

1046
01:01:21,440 --> 01:01:23,640
Speaker 1: he did bad, but they know something was bad. And

1047
01:01:23,720 --> 01:01:28,720
Speaker 1: that's this reality. Part two. The number one thing for

1048
01:01:28,760 --> 01:01:32,040
Speaker 1: the president is to pick up a lesson from Franklin

1049
01:01:32,080 --> 01:01:38,360
Speaker 1: Delano Roosevelt and doctor defeat the virus, and doctor create jobs.

1050
01:01:39,280 --> 01:01:41,680
Speaker 1: He should not be a candidate in his own head

1051
01:01:42,080 --> 01:01:45,000
Speaker 1: until Labor Day. From now to Labor day. He should

1052
01:01:45,000 --> 01:01:48,880
Speaker 1: be the commander in chief, the person helping America, the

1053
01:01:48,960 --> 01:01:53,000
Speaker 1: man getting the job done, which, of course shrinks Biden

1054
01:01:53,720 --> 01:01:57,320
Speaker 1: every single day because there's no possibility that Biden can

1055
01:01:57,400 --> 01:02:01,400
Speaker 1: compete with somebody who's an effective command or chief. Three.

1056
01:02:02,200 --> 01:02:04,360
Speaker 1: This is my prediction. You can we can come back

1057
01:02:04,400 --> 01:02:09,040
Speaker 1: this later on this fall. The weaker Biden is, the

1058
01:02:09,120 --> 01:02:13,920
Speaker 1: more indefensible and impossible Biden is, the more vicious the

1059
01:02:14,000 --> 01:02:18,040
Speaker 1: news media will become. By the way, that's that is like,

1060
01:02:18,160 --> 01:02:20,760
Speaker 1: you know what, that's a layoup prediction. Come on that

1061
01:02:20,960 --> 01:02:24,880
Speaker 1: I make that prediction. Let me ask you this, um,

1062
01:02:25,880 --> 01:02:30,560
Speaker 1: do you do this? You know you already took the layoup,

1063
01:02:30,560 --> 01:02:31,760
Speaker 1: but you could have fed it to me, but you

1064
01:02:31,880 --> 01:02:34,280
Speaker 1: decided to take him for yourself. You know, I understand

1065
01:02:34,440 --> 01:02:37,440
Speaker 1: some people are selfish on the court. I'm teasing in

1066
01:02:37,480 --> 01:02:39,400
Speaker 1: every way. Do you think they're going to try and

1067
01:02:39,400 --> 01:02:41,360
Speaker 1: steal this from him and they're gonna say, Aye, he's

1068
01:02:41,360 --> 01:02:44,880
Speaker 1: really not doing well. We can't run him. Oh you

1069
01:02:44,880 --> 01:02:47,000
Speaker 1: mean Biden. Yeah, I don't know. I just had a

1070
01:02:47,040 --> 01:02:49,560
Speaker 1: note tonight from somebody's a pretty good expert on who

1071
01:02:49,600 --> 01:02:53,080
Speaker 1: says he doesn't see technically how they can do it.

1072
01:02:53,520 --> 01:02:57,520
Speaker 1: Does Jill Biden step in and or does he does

1073
01:02:57,520 --> 01:03:00,479
Speaker 1: he do a hail merry and bring in let's see

1074
01:03:01,040 --> 01:03:05,640
Speaker 1: Michelle Obama's a running mate. Well, I don't think I

1075
01:03:05,640 --> 01:03:08,320
Speaker 1: don't think the Obamas would do that. If you watch

1076
01:03:08,400 --> 01:03:11,800
Speaker 1: person Obama's reluctance to endorse him, and then you will

1077
01:03:11,840 --> 01:03:15,360
Speaker 1: look at how weak the indorsement was. That didn't strike

1078
01:03:15,400 --> 01:03:16,880
Speaker 1: me as somebody who was eager to go out. And

1079
01:03:17,560 --> 01:03:20,600
Speaker 1: you know, the Obamas right now can say we were

1080
01:03:20,640 --> 01:03:24,840
Speaker 1: this heroic, wonderful couple. We have a great life, We're

1081
01:03:24,840 --> 01:03:27,760
Speaker 1: doing fine. Why would they want to tie their their

1082
01:03:28,560 --> 01:03:31,720
Speaker 1: career in history to a guy who's is weak and

1083
01:03:32,200 --> 01:03:36,640
Speaker 1: clearly incompetent as Joe Biden. Mister speaker, thank you, you're

1084
01:03:36,680 --> 01:03:39,920
Speaker 1: the best. Stay safe eight hundred nine one Sean. If

1085
01:03:40,000 --> 01:03:44,240
Speaker 1: a solemn duty to ensure these unemployed Americans regain their

1086
01:03:44,360 --> 01:03:47,920
Speaker 1: jobs and their livelihoods. Therefore, in order to protect American workers,

1087
01:03:48,560 --> 01:03:52,280
Speaker 1: I will be issuing a temporary suspension of immigration into

1088
01:03:52,320 --> 01:03:55,880
Speaker 1: the United States. You've heard about that last night. By

1089
01:03:55,920 --> 01:03:59,760
Speaker 1: pausing immigration will help put unemployed Americans first in line

1090
01:04:00,120 --> 01:04:05,240
Speaker 1: or jobs as America reopens. So important, it would be

1091
01:04:05,360 --> 01:04:08,560
Speaker 1: wrong and unjust for Americans laid off by the virus

1092
01:04:08,640 --> 01:04:12,880
Speaker 1: to be replaced with new immigrant labor flown in from abroad.

1093
01:04:14,080 --> 01:04:17,240
Speaker 1: All right, that is the president News round up information overload.

1094
01:04:17,240 --> 01:04:21,520
Speaker 1: Our seventy percent of Americans favor a ban on entry

1095
01:04:21,560 --> 01:04:27,040
Speaker 1: into the United States. Sixty nine percent believe false information

1096
01:04:27,160 --> 01:04:30,720
Speaker 1: from China made the pandemic worse, and only ten percent

1097
01:04:30,760 --> 01:04:34,120
Speaker 1: believe that China is telling the truth. Now our posters

1098
01:04:34,200 --> 01:04:39,520
Speaker 1: are all back. John McLaughlin, Matt Towery, Scott Rasmussen, Scott,

1099
01:04:39,600 --> 01:04:43,640
Speaker 1: let's start. Those are your numbers. I think the backlash

1100
01:04:43,680 --> 01:04:47,640
Speaker 1: towards China is really only just beginning. I think you're

1101
01:04:47,640 --> 01:04:50,120
Speaker 1: absolutely right about that. You know, a few weeks ago

1102
01:04:50,160 --> 01:04:52,920
Speaker 1: we were pulling and people weren't sure whether to blame China.

1103
01:04:52,960 --> 01:04:54,880
Speaker 1: They weren't quite sure. We were even having that debate

1104
01:04:54,920 --> 01:04:57,680
Speaker 1: about whether it's appropriate to call this, you know, a

1105
01:04:57,760 --> 01:05:01,800
Speaker 1: China virus or a Wuhan virus. Well, now sixteen nine

1106
01:05:01,920 --> 01:05:05,280
Speaker 1: percent think that they made it worse. Only eight percent disagree.

1107
01:05:05,440 --> 01:05:08,680
Speaker 1: You know, this is a situation where China has lost

1108
01:05:08,720 --> 01:05:11,560
Speaker 1: all credibility, and I think what we're seeing is an

1109
01:05:11,560 --> 01:05:14,120
Speaker 1: issue that is going to get bigger and bigger as November,

1110
01:05:14,120 --> 01:05:19,840
Speaker 1: it gets closer because people are really angry at what

1111
01:05:20,000 --> 01:05:22,600
Speaker 1: China has done to not just the United States, but

1112
01:05:22,680 --> 01:05:27,600
Speaker 1: the entire world. Yeah, what's your take, Matt Towery Oh,

1113
01:05:27,640 --> 01:05:32,120
Speaker 1: I think Scott's completely right there that China is going

1114
01:05:32,160 --> 01:05:34,200
Speaker 1: to feel over the next six months to a year

1115
01:05:34,320 --> 01:05:37,640
Speaker 1: is going to be phenomenal. I think you'll see production,

1116
01:05:38,560 --> 01:05:41,680
Speaker 1: manufacturing come back to the United States, even if it

1117
01:05:41,800 --> 01:05:44,360
Speaker 1: costs more money. And I think you're going to see

1118
01:05:44,400 --> 01:05:46,160
Speaker 1: it become a huge issue in the election. And I

1119
01:05:46,160 --> 01:05:49,080
Speaker 1: don't see how the Democrats can really descend the positions

1120
01:05:49,120 --> 01:05:52,560
Speaker 1: they've taken with regard to China. With the President ending

1121
01:05:52,560 --> 01:05:55,400
Speaker 1: to travel early on, the statement's made by Biden, those

1122
01:05:55,440 --> 01:05:57,520
Speaker 1: are going to become very difficult to defend as you

1123
01:05:57,560 --> 01:05:59,840
Speaker 1: get to the last days of the election. John mc

1124
01:06:02,080 --> 01:06:04,520
Speaker 1: I'm seeing the same thing. I mean, we've got we've

1125
01:06:04,560 --> 01:06:07,440
Speaker 1: got a pole coming out tomorrow that a businessman from

1126
01:06:07,440 --> 01:06:09,480
Speaker 1: Long Island who's one of your neighbors, one of the

1127
01:06:09,480 --> 01:06:12,560
Speaker 1: good neighbors out there, Lawrence Cages paid for seventy percent

1128
01:06:12,840 --> 01:06:17,400
Speaker 1: think China knowingly kept coronavirus data from international healthcare provengials.

1129
01:06:17,560 --> 01:06:20,760
Speaker 1: Only twelve percent of the voters said no, seventy five percent.

1130
01:06:21,720 --> 01:06:24,200
Speaker 1: I think we need to end independence on Chinese imports

1131
01:06:24,200 --> 01:06:28,520
Speaker 1: seventy five to sixteen. They think that they got to

1132
01:06:28,600 --> 01:06:31,720
Speaker 1: change our trading relationship with China seventy two to fifteen.

1133
01:06:32,200 --> 01:06:34,400
Speaker 1: And they think we ought to mandate that we got

1134
01:06:34,400 --> 01:06:39,480
Speaker 1: to bring technology companies, essential manufacturing companies back to the

1135
01:06:39,600 --> 01:06:45,240
Speaker 1: US seventy especially pharmaceuticals, a medical equipment. Right. Absolutely. I

1136
01:06:45,280 --> 01:06:47,400
Speaker 1: mean these are big numbers, but these are not small.

1137
01:06:47,480 --> 01:06:51,040
Speaker 1: This is across the board, all parties, all ideologies, every

1138
01:06:51,080 --> 01:06:53,680
Speaker 1: region of the country. This is a wake up call

1139
01:06:53,720 --> 01:06:56,960
Speaker 1: to America. This is a huge after shock. Let me

1140
01:06:57,120 --> 01:07:00,320
Speaker 1: ask you all this question because if there was one

1141
01:07:00,400 --> 01:07:04,400
Speaker 1: guy that was out there front and center warning about China,

1142
01:07:04,880 --> 01:07:08,800
Speaker 1: warning about open borders, which I think now are big

1143
01:07:08,840 --> 01:07:11,120
Speaker 1: issues and I've been saying it for years two. As

1144
01:07:11,160 --> 01:07:13,240
Speaker 1: it relates to the border, why do you want to

1145
01:07:13,280 --> 01:07:16,080
Speaker 1: secure the border? Ninety percent of our heroin comes from there.

1146
01:07:16,520 --> 01:07:20,439
Speaker 1: We have three hundred dead Americans a week from opioids

1147
01:07:20,440 --> 01:07:23,520
Speaker 1: and our feent and all crosses that border. Then you

1148
01:07:23,560 --> 01:07:27,080
Speaker 1: have potential terrorists and people with gang ties. I think

1149
01:07:27,080 --> 01:07:29,680
Speaker 1: we'd have to do background checks, make sure before people

1150
01:07:29,800 --> 01:07:33,520
Speaker 1: enter the country. You certainly need to secure the border

1151
01:07:33,520 --> 01:07:35,400
Speaker 1: in terms of people need to be able to provide

1152
01:07:35,440 --> 01:07:37,720
Speaker 1: for themselves. And now I would add health issues to it.

1153
01:07:38,160 --> 01:07:43,240
Speaker 1: These are two of Trump's signature issues. Scott rasmussim by

1154
01:07:43,480 --> 01:07:46,240
Speaker 1: in one hundred ninety four days. How did those two

1155
01:07:46,240 --> 01:07:50,160
Speaker 1: issues factor into people's voting patterns? Well, they factored not

1156
01:07:50,240 --> 01:07:52,240
Speaker 1: just in the voting patterns, and but two things that

1157
01:07:52,280 --> 01:07:56,120
Speaker 1: are going to be happening throughout the next decade. This

1158
01:07:56,200 --> 01:07:58,520
Speaker 1: is going to be a fundamental change and the way

1159
01:07:58,560 --> 01:08:02,560
Speaker 1: we look at America's relationship with the rest of the world.

1160
01:08:03,160 --> 01:08:05,760
Speaker 1: We saw last year that a lot of people recognize

1161
01:08:05,840 --> 01:08:08,360
Speaker 1: that terraff wars, we're going to hurt us economically, people

1162
01:08:08,360 --> 01:08:10,440
Speaker 1: won't have to pay more, but they still supported them

1163
01:08:10,440 --> 01:08:14,800
Speaker 1: because they recognized there were other issues involved. Right now,

1164
01:08:14,840 --> 01:08:17,799
Speaker 1: you know, you mentioned the ban on immigration. Our polling

1165
01:08:17,880 --> 01:08:21,559
Speaker 1: showed that among people who strongly disapprove of this president,

1166
01:08:21,640 --> 01:08:25,360
Speaker 1: the resistance to this president, fifty seven percent of them

1167
01:08:25,439 --> 01:08:29,559
Speaker 1: support the idea of this temporary ban. The idea that

1168
01:08:29,600 --> 01:08:31,880
Speaker 1: we're going to have open borders, the idea that we're

1169
01:08:31,880 --> 01:08:34,479
Speaker 1: going to go back to the way things were is

1170
01:08:34,600 --> 01:08:38,000
Speaker 1: just a losing issue at every level. And I think

1171
01:08:38,000 --> 01:08:41,360
Speaker 1: the larger debate is going to be what is how

1172
01:08:41,400 --> 01:08:44,320
Speaker 1: are we going to approach security in all of our

1173
01:08:44,320 --> 01:08:46,960
Speaker 1: travel and trade relationships with the rest of the world

1174
01:08:47,320 --> 01:08:51,759
Speaker 1: when something like the coronavir virus can disrupt global patterns

1175
01:08:53,240 --> 01:08:56,960
Speaker 1: Your thoughts, Matt Powery, Well, when you live by the sword,

1176
01:08:57,000 --> 01:09:00,200
Speaker 1: to die by the sword. So we've had I don't

1177
01:09:00,200 --> 01:09:02,000
Speaker 1: want to say an exaggeration, because this has been a

1178
01:09:02,120 --> 01:09:07,320
Speaker 1: terrible crisis, but when you hype something beyond measure, it

1179
01:09:07,400 --> 01:09:09,639
Speaker 1: comes back to bite you in the end. And that's

1180
01:09:09,680 --> 01:09:12,120
Speaker 1: when it's going to bite in the elections season, because

1181
01:09:12,280 --> 01:09:14,000
Speaker 1: you're going to look back and see that Donald Trump

1182
01:09:14,040 --> 01:09:17,680
Speaker 1: has done a magnificent job of dealing with an impossible situation,

1183
01:09:17,920 --> 01:09:20,360
Speaker 1: and by the way, one that was made even more

1184
01:09:20,400 --> 01:09:24,120
Speaker 1: impossible because of bad decisions from prior administrations, whether it's

1185
01:09:24,160 --> 01:09:27,840
Speaker 1: globalism or whether it's decisions not to do a certain

1186
01:09:27,960 --> 01:09:33,200
Speaker 1: public health measures. Trump had to build an entire public

1187
01:09:33,280 --> 01:09:36,719
Speaker 1: health system, a secondary public health system in a matter

1188
01:09:36,800 --> 01:09:38,960
Speaker 1: of a month, and he did it. And people were

1189
01:09:39,000 --> 01:09:41,599
Speaker 1: going to start to realize that when we get to November.

1190
01:09:42,400 --> 01:09:47,920
Speaker 1: It's been the biggest medical mobilization, the fastest medical mobilization

1191
01:09:48,120 --> 01:09:51,479
Speaker 1: in the history of this country. John McLaughlin, starting with

1192
01:09:51,520 --> 01:09:54,760
Speaker 1: the travel band that was labeled racist and xenophobic and

1193
01:09:54,840 --> 01:09:58,240
Speaker 1: historical and part of fearmongering on the president's part. I

1194
01:09:58,280 --> 01:10:01,280
Speaker 1: think Joe Biden will eat those words. But Matt is

1195
01:10:01,360 --> 01:10:05,000
Speaker 1: right here the States, there was no preparation. In New York.

1196
01:10:05,400 --> 01:10:08,120
Speaker 1: Donald Trump built the Javits Center, the largest hospital in

1197
01:10:08,160 --> 01:10:11,320
Speaker 1: the country, converted it to COVID nineteen and all the

1198
01:10:11,360 --> 01:10:16,200
Speaker 1: personnel came from Donald Trump. The same with the hospital ship,

1199
01:10:16,280 --> 01:10:20,000
Speaker 1: the comfort every VENTI later. New York needed the mass

1200
01:10:20,040 --> 01:10:23,880
Speaker 1: the gloves, the respirators, the gowns, the medicines all came

1201
01:10:23,880 --> 01:10:28,880
Speaker 1: from Donald Trump. New York had zero preparation. Early March,

1202
01:10:29,280 --> 01:10:32,439
Speaker 1: the governor, the mayor, the health officials, we're all saying, no,

1203
01:10:32,560 --> 01:10:35,639
Speaker 1: we got this covered. They didn't have anything covered. Does

1204
01:10:35,680 --> 01:10:39,439
Speaker 1: he get credit for that, Well, well he should, but

1205
01:10:39,600 --> 01:10:42,080
Speaker 1: you've got to get the press to you know, get

1206
01:10:42,120 --> 01:10:45,200
Speaker 1: around the press distorting the truth. But the amazing thing

1207
01:10:45,240 --> 01:10:48,280
Speaker 1: is in New York, the death that we had, they

1208
01:10:48,280 --> 01:10:51,080
Speaker 1: had a policy. We now find out the state had

1209
01:10:51,120 --> 01:10:56,000
Speaker 1: a policy that they would send coronavirus patients back into

1210
01:10:56,120 --> 01:10:58,559
Speaker 1: nursing homes. Can you believe that's why you had this

1211
01:10:58,680 --> 01:11:02,120
Speaker 1: massive death because it was just highly contagious disease among

1212
01:11:02,160 --> 01:11:06,439
Speaker 1: all people, and the state ordered Governor Clomo's state health

1213
01:11:06,439 --> 01:11:09,679
Speaker 1: commissioner ordered it, so they were so they were sending

1214
01:11:09,760 --> 01:11:12,840
Speaker 1: people with coronavirus. Well, the governor said today, well that

1215
01:11:12,960 --> 01:11:17,960
Speaker 1: was their decision to do that. I didn't do that. Terrible.

1216
01:11:18,120 --> 01:11:21,320
Speaker 1: This is so sad, This is so sad. So thousands

1217
01:11:21,320 --> 01:11:24,040
Speaker 1: of deaths. Does he get credit for this? Yeah? Scott?

1218
01:11:24,080 --> 01:11:28,080
Speaker 1: Do you think you know? I think that by November,

1219
01:11:28,120 --> 01:11:30,360
Speaker 1: we're not going to be talking about getting credit for

1220
01:11:30,400 --> 01:11:33,080
Speaker 1: these types of issues. What we're going to be looking

1221
01:11:33,120 --> 01:11:36,120
Speaker 1: at is the way society has reopened. And I think

1222
01:11:36,120 --> 01:11:38,760
Speaker 1: it's really important that we talk not just about reopening

1223
01:11:38,760 --> 01:11:42,759
Speaker 1: the economy, but reopening society. And people were gonna be saying,

1224
01:11:42,920 --> 01:11:47,400
Speaker 1: what's been happening, how, how has life begun to return

1225
01:11:47,479 --> 01:11:50,800
Speaker 1: to something semi normal? If that's happening, if we're making

1226
01:11:50,840 --> 01:11:53,360
Speaker 1: progress in that way, the president will get credit for that,

1227
01:11:53,720 --> 01:11:57,960
Speaker 1: and these other arguments will have become ancient memory. Matt,

1228
01:11:58,000 --> 01:12:00,680
Speaker 1: your your thoughts, where are we going to be in

1229
01:12:00,680 --> 01:12:04,880
Speaker 1: one hundred and ninety four days? We're not going to

1230
01:12:04,960 --> 01:12:07,600
Speaker 1: be where we were, you know, in February. We know

1231
01:12:07,720 --> 01:12:10,840
Speaker 1: that there's a lot of adjusting that has to take place.

1232
01:12:10,840 --> 01:12:13,160
Speaker 1: We're going to have to walk before we run. And

1233
01:12:13,280 --> 01:12:16,519
Speaker 1: we don't know what the cycle of this virus will

1234
01:12:16,600 --> 01:12:20,479
Speaker 1: will be, but I predict one thing, regardless of where

1235
01:12:20,520 --> 01:12:24,439
Speaker 1: we are, the president has a magnificent opportunity to remind

1236
01:12:24,479 --> 01:12:28,280
Speaker 1: people of what he's accomplished pre virus and post virus.

1237
01:12:28,600 --> 01:12:31,240
Speaker 1: And I believe this president. And I just want to note,

1238
01:12:31,280 --> 01:12:33,599
Speaker 1: you know, networks really have no business calling in states

1239
01:12:33,600 --> 01:12:35,840
Speaker 1: because they do a terrible job. But I noticed in

1240
01:12:35,960 --> 01:12:38,960
Speaker 1: CNBC came out with a poll in almost all the

1241
01:12:39,000 --> 01:12:42,040
Speaker 1: swing states yesterday. Trump up in every single one of

1242
01:12:42,080 --> 01:12:44,080
Speaker 1: them by one point. That's in the middle of all

1243
01:12:44,120 --> 01:12:46,800
Speaker 1: this stuff going on. So anybody who thinks this man

1244
01:12:47,160 --> 01:12:49,160
Speaker 1: is not going to be re elected needs to go

1245
01:12:49,200 --> 01:12:52,439
Speaker 1: back and study again, because if you want, the media

1246
01:12:52,600 --> 01:12:54,799
Speaker 1: can't say a single good thing he's done John McLaughlin,

1247
01:12:54,880 --> 01:12:57,559
Speaker 1: then never the mob in the media, Democrats, they can't

1248
01:12:57,640 --> 01:12:59,720
Speaker 1: name one thing good that he's done here, not one.

1249
01:13:00,040 --> 01:13:03,479
Speaker 1: All they do is trash him. No, and we just

1250
01:13:03,520 --> 01:13:05,439
Speaker 1: put we just by the way we just put out

1251
01:13:05,479 --> 01:13:07,400
Speaker 1: And granted I worked for the campaign, but this is

1252
01:13:07,439 --> 01:13:10,200
Speaker 1: our monthly national servery that we do not necessaries to

1253
01:13:10,280 --> 01:13:13,479
Speaker 1: the campaign, but we put it out and we said,

1254
01:13:13,880 --> 01:13:16,960
Speaker 1: we basically asked people to agree able scary of the

1255
01:13:16,960 --> 01:13:20,000
Speaker 1: statement that the Democrats and liberal national media are trying

1256
01:13:20,040 --> 01:13:23,200
Speaker 1: to move the blame from the spread a coronavirus away

1257
01:13:23,240 --> 01:13:26,840
Speaker 1: from China to President Trump for partisan political gain, and

1258
01:13:26,880 --> 01:13:29,720
Speaker 1: the plurality of Americans agreed with that forty nine to

1259
01:13:29,800 --> 01:13:32,720
Speaker 1: forty two. And then we asked the question like, and

1260
01:13:32,720 --> 01:13:34,679
Speaker 1: it was kind of a tough question because we're saying,

1261
01:13:34,960 --> 01:13:36,960
Speaker 1: would you say that too many members of the media

1262
01:13:37,000 --> 01:13:40,519
Speaker 1: have been unfair, biased, and even disrespectful to the president?

1263
01:13:40,760 --> 01:13:43,520
Speaker 1: Where has the media have been fair, unbiased and always respectful.

1264
01:13:43,920 --> 01:13:47,280
Speaker 1: They said they were unfair and disrespectful forty eight to

1265
01:13:47,439 --> 01:13:51,280
Speaker 1: forty two. And it's higher among the fifty six percent

1266
01:13:51,640 --> 01:13:55,080
Speaker 1: that regularly watched the briefings, so they know that the

1267
01:13:55,120 --> 01:13:58,879
Speaker 1: media is not telling the truth. I mean, these briefings

1268
01:13:58,880 --> 01:14:01,960
Speaker 1: have really exposed the hostile to the president at a

1269
01:14:02,040 --> 01:14:04,760
Speaker 1: time we're in the same poll seventy nine percent of

1270
01:14:04,800 --> 01:14:07,559
Speaker 1: all Americans want to be united and don't want to

1271
01:14:07,560 --> 01:14:11,360
Speaker 1: have anything to do with partisan politics. So Donald Trump

1272
01:14:11,479 --> 01:14:14,480
Speaker 1: may have to fight for the credit that he deserves

1273
01:14:14,840 --> 01:14:17,160
Speaker 1: on what he's doing to save American lives and bring

1274
01:14:17,160 --> 01:14:19,800
Speaker 1: our timey back. But we will fight for that, and

1275
01:14:19,840 --> 01:14:22,720
Speaker 1: the majority of Americans will recognize. We'll recognize that. So

1276
01:14:22,960 --> 01:14:26,759
Speaker 1: let's go to Biden. How does Biden stack up to Trump?

1277
01:14:26,920 --> 01:14:33,519
Speaker 1: He seems so diminished the poor ever confused? Quid pro

1278
01:14:33,640 --> 01:14:37,200
Speaker 1: quo Joe Okay, If the elections held today, Scott Rasmussen,

1279
01:14:37,200 --> 01:14:40,760
Speaker 1: who wins well right now, our latest polling shows it.

1280
01:14:40,840 --> 01:14:43,160
Speaker 1: In the last couple of weeks, Joe Biden has actually

1281
01:14:43,200 --> 01:14:45,880
Speaker 1: gained a couple of points, and that's probably because he's

1282
01:14:45,880 --> 01:14:48,559
Speaker 1: been out of the public eyes so much. But this

1283
01:14:48,680 --> 01:14:52,240
Speaker 1: is a poll of registered voters, it's early on, and

1284
01:14:52,280 --> 01:14:56,160
Speaker 1: it's a national poll. If the election were held right

1285
01:14:56,200 --> 01:14:58,800
Speaker 1: now today, I think we would be looking at for

1286
01:14:58,880 --> 01:15:02,880
Speaker 1: the places like Pennsylvan in Michigan and Wisconsin to see

1287
01:15:02,920 --> 01:15:05,719
Speaker 1: who wins the electoral college. It would be a close race.

1288
01:15:06,080 --> 01:15:08,960
Speaker 1: I think the President emerges on top. But as I

1289
01:15:09,000 --> 01:15:11,400
Speaker 1: said before, it all depends on what happens in the

1290
01:15:11,400 --> 01:15:14,160
Speaker 1: next few months and how we come out of these lockdowns.

1291
01:15:14,720 --> 01:15:19,160
Speaker 1: Matt Towery, Well, I mean I think Scott alluded to

1292
01:15:19,200 --> 01:15:22,280
Speaker 1: something which I believe in that as Biden has gained

1293
01:15:22,320 --> 01:15:25,040
Speaker 1: only because he hasn't been out talking and at some

1294
01:15:25,160 --> 01:15:26,920
Speaker 1: point he has to come out of his basement and

1295
01:15:26,960 --> 01:15:30,040
Speaker 1: start campaigning again. And he's just you know, wait, he's

1296
01:15:30,040 --> 01:15:34,680
Speaker 1: been a disaster in his basement. It is embarrassing. He's

1297
01:15:34,680 --> 01:15:38,519
Speaker 1: a disaster. The sad thing about it is for him. Seriously,

1298
01:15:39,040 --> 01:15:42,280
Speaker 1: he was much sharper three or four years ago, and

1299
01:15:42,640 --> 01:15:45,160
Speaker 1: it seems like this during this campaign he's just become

1300
01:15:45,240 --> 01:15:49,960
Speaker 1: increasingly confusing. His words get jumbled. We know what's going

1301
01:15:50,040 --> 01:15:52,639
Speaker 1: on here. Now, if the American people want to vote

1302
01:15:52,640 --> 01:15:54,920
Speaker 1: for that, they can, I don't think they will. I

1303
01:15:54,920 --> 01:15:57,640
Speaker 1: think from President Trump and Biden debate, you're going to

1304
01:15:57,640 --> 01:16:01,639
Speaker 1: see a clear demarcation and President is once again going

1305
01:16:01,680 --> 01:16:04,439
Speaker 1: to come out on top. And as we roll along,

1306
01:16:04,439 --> 01:16:08,400
Speaker 1: Sean Hannity, shall posters, got rasp music, Matt Towery, John McLoughlin,

1307
01:16:08,800 --> 01:16:11,880
Speaker 1: all right, we see Joe Biden, Well, we don't see him.

1308
01:16:12,040 --> 01:16:17,000
Speaker 1: Seems very diminished, you know, very confused. His readings are

1309
01:16:17,280 --> 01:16:20,840
Speaker 1: well now one thing of fame. He's now claiming that

1310
01:16:21,120 --> 01:16:23,360
Speaker 1: this is good, this is a great opportunity. I can't

1311
01:16:23,400 --> 01:16:26,360
Speaker 1: believe it. In terms of Oh, we can do things

1312
01:16:26,360 --> 01:16:28,240
Speaker 1: that we weren't able to do. I'm excited by this,

1313
01:16:28,400 --> 01:16:30,120
Speaker 1: he made in a statement he said, anyway, did the

1314
01:16:30,120 --> 01:16:35,800
Speaker 1: Democrats try to dump him? John McLoughlin, There's nobody running

1315
01:16:35,840 --> 01:16:39,120
Speaker 1: against him. He's he's won the race. Everybody dropped out.

1316
01:16:39,520 --> 01:16:41,639
Speaker 1: So all right, does Jill Biden come in and say,

1317
01:16:41,720 --> 01:16:43,800
Speaker 1: you know what, he's not feeling up to it, you

1318
01:16:43,800 --> 01:16:47,000
Speaker 1: guys pick someone else. Well, you know what, remember back

1319
01:16:47,080 --> 01:16:50,280
Speaker 1: in twenty sixteen, you brought me out to do radio

1320
01:16:50,320 --> 01:16:52,880
Speaker 1: in Milwaukee and we met with then candidate Donald Trump,

1321
01:16:52,960 --> 01:16:54,120
Speaker 1: and you had me telling him he was going to

1322
01:16:54,200 --> 01:16:57,519
Speaker 1: lose Wisconsin the cruise. But then once all we had

1323
01:16:57,560 --> 01:17:00,560
Speaker 1: to do was we said, okay, we're gonna go win Indiana,

1324
01:17:00,680 --> 01:17:03,920
Speaker 1: and that will New York with these Indiana lock it

1325
01:17:04,000 --> 01:17:06,439
Speaker 1: up in two weeks. Once we did that, they kept

1326
01:17:06,479 --> 01:17:10,120
Speaker 1: spinning for an open convention. It wasn't gonna happen. What

1327
01:17:10,280 --> 01:17:13,200
Speaker 1: about that, Matt Towery and what about all this talking

1328
01:17:13,200 --> 01:17:17,599
Speaker 1: about well maybe we'll put Michelle Obama on the ticket. Well,

1329
01:17:17,640 --> 01:17:20,519
Speaker 1: I'm a little more skeptical about Joe Biden's future than

1330
01:17:20,560 --> 01:17:24,320
Speaker 1: perhaps others. I think that this could be a real

1331
01:17:24,360 --> 01:17:28,120
Speaker 1: crisis for the Democrats. Um, because, as I said, this

1332
01:17:28,240 --> 01:17:30,599
Speaker 1: is just one person's opinion. He doesn't seem as sharp

1333
01:17:30,640 --> 01:17:33,000
Speaker 1: as he did when he started his campaign, which I

1334
01:17:33,000 --> 01:17:36,280
Speaker 1: find very interesting. So, Um, I think there's always a

1335
01:17:36,320 --> 01:17:39,519
Speaker 1: possibility Sean, that something could happen and he could could

1336
01:17:39,640 --> 01:17:42,320
Speaker 1: bow out. That's not out of it's not out of

1337
01:17:42,400 --> 01:17:45,559
Speaker 1: possibility as far as I'm concerned. Then they're stealing from Bernie.

1338
01:17:45,680 --> 01:17:48,439
Speaker 1: Good luck with that, Bernie fans will you know, no

1339
01:17:48,520 --> 01:17:51,679
Speaker 1: fun fun intended. They'll be burned. That's the problem. Yeah,

1340
01:17:51,720 --> 01:17:54,120
Speaker 1: that problem. Got What do you think and any of

1341
01:17:54,200 --> 01:17:58,599
Speaker 1: you have any thoughts on the Michelle Obama rumors? Well, look, Sean,

1342
01:17:58,680 --> 01:18:01,599
Speaker 1: what I think is that if for some reason Joe

1343
01:18:01,640 --> 01:18:04,680
Speaker 1: Biden had to step aside for because of health or

1344
01:18:04,720 --> 01:18:08,080
Speaker 1: any other concerns, the Democrats have a choice. They can

1345
01:18:08,120 --> 01:18:10,720
Speaker 1: either give it to Bernie Sanders and put forward a

1346
01:18:10,800 --> 01:18:14,040
Speaker 1: very weak national candidate, or give it to somebody else

1347
01:18:14,400 --> 01:18:17,000
Speaker 1: and really divide the party. At that point, there are

1348
01:18:17,080 --> 01:18:21,360
Speaker 1: no good options there are. Would Michelle Obama do it

1349
01:18:21,400 --> 01:18:26,120
Speaker 1: real quick? Last question? Yes or no? John mcglockla No, no,

1350
01:18:26,280 --> 01:18:28,120
Speaker 1: because she wants to be the top of the ticket,

1351
01:18:28,160 --> 01:18:32,160
Speaker 1: not the bottom. Matt Towery, No way, She's not going

1352
01:18:32,200 --> 01:18:36,080
Speaker 1: to do it. Scott Rasmussin, I agree, not gonna happen.

1353
01:18:36,720 --> 01:18:38,960
Speaker 1: All right, want to thank you all when we come back.

1354
01:18:39,080 --> 01:18:42,000
Speaker 1: Final half hour wide open phones Hannity tonight at nine

1355
01:18:42,120 --> 01:18:43,960
Speaker 1: eight hundred and nine for one Sean you want to

1356
01:18:43,960 --> 01:18:47,160
Speaker 1: be a part of the program, And we're waiting Coronavirus

1357
01:18:47,200 --> 01:18:50,519
Speaker 1: Test Force briefing. If it happens, we'll take it straight ahead,

1358
01:18:50,600 --> 01:18:52,800
Speaker 1: all right, twenty five now till the top of the hour.

1359
01:18:53,000 --> 01:18:56,760
Speaker 1: We don't know when, but sometime soon the Coronavirus Test

1360
01:18:56,800 --> 01:19:00,439
Speaker 1: Force briefing will begin, and for stations on the Sean

1361
01:19:00,439 --> 01:19:04,600
Speaker 1: Hannity Show Network will continue to follow our usual protocol

1362
01:19:05,040 --> 01:19:09,000
Speaker 1: and give you all the discretion you want, need necessary

1363
01:19:09,000 --> 01:19:13,400
Speaker 1: to take your breaks as warranted. I want to remind everybody, look,

1364
01:19:13,400 --> 01:19:15,760
Speaker 1: Mother's Day is coming. Let me tell you it's tough

1365
01:19:15,760 --> 01:19:17,680
Speaker 1: on moms, right. I mean, by the way, some of

1366
01:19:17,760 --> 01:19:20,640
Speaker 1: you out there, many of you, I'm sure, especially in

1367
01:19:20,640 --> 01:19:23,960
Speaker 1: New York, New Jersey and Connecticut and some other areas

1368
01:19:24,000 --> 01:19:28,480
Speaker 1: you know, probably you might be socially distancing from grandma

1369
01:19:28,800 --> 01:19:31,880
Speaker 1: and from moms and dads and grandpa's which is because

1370
01:19:31,880 --> 01:19:33,759
Speaker 1: you love them not but for any other bad reason.

1371
01:19:33,800 --> 01:19:37,360
Speaker 1: But anyway, Mother's Day is coming, and our friends at

1372
01:19:37,360 --> 01:19:40,960
Speaker 1: one night hundred flowers dot com, your rose authority, they're

1373
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Speaker 1: amazing people. Right now, they're offering this great deal and

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Speaker 1: you want to get your ordered early now because everything's

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01:19:47,760 --> 01:19:51,720
Speaker 1: limited and they have limited delivery windows and they're doing

1376
01:19:51,760 --> 01:19:55,080
Speaker 1: safe delivery. They're committed to the safety of their team

1377
01:19:55,120 --> 01:19:59,719
Speaker 1: members that they're doing contact less delivery, so a little

1378
01:19:59,760 --> 01:20:02,080
Speaker 1: more complicated. But you want to remember Mom and all

1379
01:20:02,120 --> 01:20:03,960
Speaker 1: the love they give you all year around, all the

1380
01:20:03,960 --> 01:20:06,679
Speaker 1: moms in your life that means mom, grandmam, mother in law,

1381
01:20:07,760 --> 01:20:10,240
Speaker 1: you know, the mother of your kids, everybody you can

1382
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Speaker 1: think of. Three dozen beautiful sorbet roses, twenty five percent

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Speaker 1: off the original price. Beautiful roses, perfect mix, pastel shades, pink, orange, lavender,

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Speaker 1: guaranteed you're showing Mom, all the moms in your life

1385
01:20:25,160 --> 01:20:28,720
Speaker 1: you love them, how great you are. You gotta do

1386
01:20:28,800 --> 01:20:33,000
Speaker 1: it today. This offer ends tomorrow, and you know what

1387
01:20:33,040 --> 01:20:34,840
Speaker 1: this is when you get the best deals right now,

1388
01:20:35,120 --> 01:20:37,719
Speaker 1: don't put it off your official flowers one eight hundred

1389
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Speaker 1: flowers dot com. Three dozen sorbet roses. Just go to

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Speaker 1: one eight hundred Flowers dot Com, click on the radio icon,

1391
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Speaker 1: enter the code Hannity one eight hundred Flowers dot Com

1392
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Speaker 1: code Hannity, and don't forget. Do it now while you

1393
01:20:50,840 --> 01:20:55,479
Speaker 1: can lock them in contact less deliveries. All right, let's

1394
01:20:55,479 --> 01:20:58,760
Speaker 1: get to our busy phones here. UM, let's say hi

1395
01:20:58,800 --> 01:21:00,960
Speaker 1: to Louise in New Mexico. Louis, how are you doing

1396
01:21:01,040 --> 01:21:03,599
Speaker 1: out there? I know it's not as crazy as here,

1397
01:21:04,479 --> 01:21:07,800
Speaker 1: hopefully not. What's going on? Hey? I just thought as

1398
01:21:07,800 --> 01:21:10,759
Speaker 1: thank you for being a champion for small businesses. Um.

1399
01:21:10,840 --> 01:21:13,840
Speaker 1: You know, it's interesting I got interview because I owned

1400
01:21:13,840 --> 01:21:16,799
Speaker 1: shooting ranges and gun stores here in New Mexico, and

1401
01:21:17,120 --> 01:21:21,400
Speaker 1: our governor being the central any place that in her

1402
01:21:21,520 --> 01:21:26,080
Speaker 1: mandate that anybody who serves law enforcement in military, and

1403
01:21:26,200 --> 01:21:29,679
Speaker 1: you know we have Albuquerque Police, State Police ATF always

1404
01:21:29,680 --> 01:21:33,040
Speaker 1: in our shooting ranges, and it's interesting. Once our story

1405
01:21:33,080 --> 01:21:35,400
Speaker 1: got out about calibers, I'm sorry. I wasn't supposed to

1406
01:21:35,400 --> 01:21:37,880
Speaker 1: say that about Sorry, I didn't even hear what you said.

1407
01:21:38,120 --> 01:21:40,960
Speaker 1: I didn't. I didn't even hear what you said. Okay, good,

1408
01:21:40,960 --> 01:21:42,280
Speaker 1: I'm glad you didn't hear the name of my story

1409
01:21:42,280 --> 01:21:45,160
Speaker 1: because I wasn't supposed to say that. But yeah, all

1410
01:21:45,200 --> 01:21:48,759
Speaker 1: of sudden the governor deems us non essential and closes

1411
01:21:48,800 --> 01:21:51,559
Speaker 1: us down. Um, and she's doing it to all small businesses.

1412
01:21:51,560 --> 01:21:55,360
Speaker 1: And she's literally picking winners and losers in New Mexico.

1413
01:21:55,640 --> 01:21:58,559
Speaker 1: You know, And as I'm so stupid, that is. It

1414
01:21:58,640 --> 01:22:02,160
Speaker 1: is ridiculous, you know, because listen, I'm telling you right now,

1415
01:22:03,080 --> 01:22:05,320
Speaker 1: if and again, I go to the stores all the time.

1416
01:22:06,000 --> 01:22:09,360
Speaker 1: If if and I talked to everybody, I can't shut up.

1417
01:22:09,400 --> 01:22:11,240
Speaker 1: I'm a talk show host, and I talked through my

1418
01:22:11,280 --> 01:22:14,760
Speaker 1: new you know, my respirator, my mask. And but I

1419
01:22:15,360 --> 01:22:17,280
Speaker 1: see every time I go to the store, the stores

1420
01:22:17,280 --> 01:22:20,519
Speaker 1: are filled in New York and Long Island, They're they're packed,

1421
01:22:21,160 --> 01:22:24,320
Speaker 1: They're full packed. Yeah, I guess what. And I talked

1422
01:22:24,360 --> 01:22:28,800
Speaker 1: to the guys stocking the shelves. Now, excuse me. They

1423
01:22:28,880 --> 01:22:32,960
Speaker 1: never closed down because otherwise New Yorkers would have starved

1424
01:22:33,000 --> 01:22:37,040
Speaker 1: to death. You know, if farmers didn't farm, packer didn't pack,

1425
01:22:37,240 --> 01:22:41,080
Speaker 1: truckers didn't truck, pharmaceutical companies didn't do their thing. And

1426
01:22:41,840 --> 01:22:46,240
Speaker 1: those manufacturing all this medical equipment that saved New York

1427
01:22:46,720 --> 01:22:52,320
Speaker 1: because New York government failed on a spectacular level. Um,

1428
01:22:53,520 --> 01:22:57,439
Speaker 1: we'd be dead. We were dead without if America closed down. Now,

1429
01:22:58,120 --> 01:23:01,040
Speaker 1: if all those people can do it, why can't others

1430
01:23:01,080 --> 01:23:05,519
Speaker 1: do it? To tell her, we can control how many

1431
01:23:05,520 --> 01:23:08,240
Speaker 1: people we allow in our store. We can do social distancing,

1432
01:23:08,360 --> 01:23:10,880
Speaker 1: and the and and the interesting thing is, you know,

1433
01:23:10,960 --> 01:23:13,960
Speaker 1: New Mexico has lasted so many categories in business. But yeah,

1434
01:23:13,960 --> 01:23:18,040
Speaker 1: she's allowing hundreds hundreds of people into the big box

1435
01:23:18,080 --> 01:23:20,240
Speaker 1: stores at a time. And we knew we were getting

1436
01:23:20,240 --> 01:23:22,639
Speaker 1: targeted because we are a gun store in a shooting range.

1437
01:23:22,680 --> 01:23:24,599
Speaker 1: But the fact of the matter is that she's literally

1438
01:23:24,600 --> 01:23:28,240
Speaker 1: picking winners and losers. And where we're looking at, eighty

1439
01:23:28,280 --> 01:23:30,679
Speaker 1: percent of small businesses in New Mexico will never open

1440
01:23:30,760 --> 01:23:34,240
Speaker 1: their doors again. And it's you know, we're not even

1441
01:23:34,439 --> 01:23:38,440
Speaker 1: asking to open up one hundred percent. We're at, Yeah,

1442
01:23:38,520 --> 01:23:41,799
Speaker 1: listen for exactly. I just beentioning pro one eight hundred flowers.

1443
01:23:41,840 --> 01:23:43,640
Speaker 1: I mean, you know they're going to do contact the

1444
01:23:44,120 --> 01:23:47,680
Speaker 1: less delivery. Okay, I go to all my I go

1445
01:23:47,920 --> 01:23:51,439
Speaker 1: grocery shopping, I go to Mario's, my favorite pizza place.

1446
01:23:51,840 --> 01:23:53,920
Speaker 1: I go to all my favorite restaurants, how you know,

1447
01:23:54,000 --> 01:23:57,400
Speaker 1: Chris and Tony's and LAPAs at Rothman's when they reopen

1448
01:23:57,560 --> 01:23:59,880
Speaker 1: I'm I'm gonna I go to my local Delhi, I go.

1449
01:24:00,240 --> 01:24:03,160
Speaker 1: You know, I'm going everywhere I can try to spend money.

1450
01:24:03,200 --> 01:24:05,920
Speaker 1: And I'm not I'm not saying that. I'm saying I

1451
01:24:05,960 --> 01:24:09,439
Speaker 1: feel so bad for people. You're trying to keep their

1452
01:24:09,479 --> 01:24:13,920
Speaker 1: freaking doors open, and you know they're all struggling. And

1453
01:24:14,040 --> 01:24:17,799
Speaker 1: it's like everyone else around the country saved New York's

1454
01:24:17,880 --> 01:24:19,680
Speaker 1: ass because they got up and they went to work.

1455
01:24:19,720 --> 01:24:23,640
Speaker 1: They didn't close down. And there's we gotta find the

1456
01:24:23,720 --> 01:24:28,679
Speaker 1: ways to do it safely. Okay, if it means that

1457
01:24:28,880 --> 01:24:31,439
Speaker 1: in New York you have half your workforce in New

1458
01:24:31,520 --> 01:24:34,639
Speaker 1: York City work from home, all right, you just built

1459
01:24:34,640 --> 01:24:37,680
Speaker 1: in all the social distancing that never existed. Then you

1460
01:24:37,720 --> 01:24:40,280
Speaker 1: put everybody in a temperature check to get in a building.

1461
01:24:40,360 --> 01:24:42,160
Speaker 1: When you have more testing, you can do that too.

1462
01:24:42,400 --> 01:24:46,040
Speaker 1: Then you put everybody in masks and gloves in the

1463
01:24:46,080 --> 01:24:49,920
Speaker 1: workplace all day long. You know what, open the city up,

1464
01:24:50,400 --> 01:24:53,040
Speaker 1: do it safely? Say with Yankee Stadium. I talked to

1465
01:24:53,160 --> 01:24:56,080
Speaker 1: Randy Lavini. He said, with the Yankees, all right, maybe

1466
01:24:56,120 --> 01:24:59,000
Speaker 1: you start Bill O'Reilly's way and you just just show

1467
01:24:59,040 --> 01:25:02,240
Speaker 1: it on TV. I'm cool with that. But then you

1468
01:25:02,280 --> 01:25:04,720
Speaker 1: know if everyone gets the temperature check. They actually have

1469
01:25:04,760 --> 01:25:07,559
Speaker 1: these turnstiles I told you about. This company makes them

1470
01:25:07,560 --> 01:25:10,200
Speaker 1: where everyone's you walk through and it takes you temperature

1471
01:25:10,320 --> 01:25:14,120
Speaker 1: that fast, pretty amazing. So the equipment's there. The Yankees

1472
01:25:14,200 --> 01:25:16,519
Speaker 1: will build, you know, Brandy Levine, I don't want to

1473
01:25:16,520 --> 01:25:18,720
Speaker 1: speak firm, but I'm sure they'll. They'll make mass with

1474
01:25:18,880 --> 01:25:21,840
Speaker 1: Yankee emblems on it, or Mets emblems or Jets or

1475
01:25:21,840 --> 01:25:28,040
Speaker 1: Giants emblems. Let the MLB, let the e NHL, NBA, NFL,

1476
01:25:28,280 --> 01:25:31,240
Speaker 1: Let these guys do their thing, work with the health

1477
01:25:31,280 --> 01:25:35,240
Speaker 1: officials to make it safe. And and if you if

1478
01:25:35,240 --> 01:25:39,000
Speaker 1: you're sick, compromised immune system, underlying conditions, take the year off.

1479
01:25:39,000 --> 01:25:41,720
Speaker 1: Don't go to a game. Don't go. I'm sorry, I

1480
01:25:41,760 --> 01:25:45,000
Speaker 1: would recommend you not go. But there's ways to do it.

1481
01:25:45,160 --> 01:25:48,000
Speaker 1: Do it safely. You can test. Everyone that works at

1482
01:25:48,040 --> 01:25:51,439
Speaker 1: every stadium, makes you give them the real test. Nobody

1483
01:25:51,479 --> 01:25:54,200
Speaker 1: can no food handle or no ticket taker can't be

1484
01:25:54,240 --> 01:25:57,439
Speaker 1: working with unless they test it. Same with the players, coaches, trainers, etc.

1485
01:25:58,400 --> 01:26:00,400
Speaker 1: You can do it. If you want to do it,

1486
01:26:00,479 --> 01:26:03,280
Speaker 1: you can do it. Um. I don't know how you

1487
01:26:03,320 --> 01:26:06,479
Speaker 1: open a bar. Maybe I just Louis if you have

1488
01:26:06,479 --> 01:26:08,040
Speaker 1: any ideas you're not to open a bar. I have

1489
01:26:08,080 --> 01:26:09,880
Speaker 1: no idea. I don't know how you pull off. No,

1490
01:26:11,360 --> 01:26:13,599
Speaker 1: I just bonn shooting ranges. But you know, we did

1491
01:26:13,640 --> 01:26:16,720
Speaker 1: everything she has. We separated every other stall, we had

1492
01:26:16,760 --> 01:26:20,280
Speaker 1: curbside service. Uh. But but you know this isn't this

1493
01:26:20,320 --> 01:26:22,680
Speaker 1: isn't only about my shooting range. This is about you know,

1494
01:26:22,800 --> 01:26:26,320
Speaker 1: Tennessee shore stores. This is about Flori's restaurants. And these

1495
01:26:26,360 --> 01:26:29,679
Speaker 1: places can't even afford to pay their mortgages and we're

1496
01:26:29,720 --> 01:26:31,920
Speaker 1: trying to hold on. And the fact that she's picking

1497
01:26:31,920 --> 01:26:35,000
Speaker 1: winners and losers. Where where the big box doors are

1498
01:26:35,040 --> 01:26:38,360
Speaker 1: gonna record these record earnings at the quarter and New

1499
01:26:38,360 --> 01:26:40,880
Speaker 1: Mexico is going to be recording record bankruptcies from small

1500
01:26:40,880 --> 01:26:43,559
Speaker 1: businesses that will never open our doors again. It's you know,

1501
01:26:43,720 --> 01:26:46,919
Speaker 1: it's it's to the end the bat show. We can't

1502
01:26:46,960 --> 01:26:52,160
Speaker 1: afford this, right, we got We're too smart not to

1503
01:26:52,200 --> 01:26:56,559
Speaker 1: not to pull it off. We're too smart. And here's

1504
01:26:56,560 --> 01:26:59,439
Speaker 1: the issue. New Mexico has two million people, the fifth

1505
01:26:59,520 --> 01:27:02,519
Speaker 1: larger graphic area, and she just pushed us back from

1506
01:27:02,600 --> 01:27:04,880
Speaker 1: the first to the fifteenth and made a statement that

1507
01:27:04,920 --> 01:27:08,200
Speaker 1: she'll only open once a vaccine is out, well, that

1508
01:27:08,240 --> 01:27:10,400
Speaker 1: could be in December. By that time. The only you

1509
01:27:10,439 --> 01:27:12,360
Speaker 1: know what, she's not gonna have to worry about reopening

1510
01:27:12,360 --> 01:27:15,479
Speaker 1: New Mexico because everybody's gonna be closed. But you know,

1511
01:27:15,560 --> 01:27:18,040
Speaker 1: the big boxes will still be going and it's gonna

1512
01:27:18,080 --> 01:27:21,519
Speaker 1: put the rest of us out of business. But um again,

1513
01:27:21,760 --> 01:27:24,479
Speaker 1: New York stead if people, if the whole country shut down,

1514
01:27:24,520 --> 01:27:27,479
Speaker 1: we were dead. We'd starved to death. We'd have new medicine.

1515
01:27:27,560 --> 01:27:31,640
Speaker 1: Our frontline medical heroes would have nothing. And they're the

1516
01:27:31,640 --> 01:27:34,120
Speaker 1: ones that they saved the day they saved New York.

1517
01:27:34,880 --> 01:27:40,479
Speaker 1: Without that logistical support, supply chain support, we wouldn't have

1518
01:27:40,520 --> 01:27:42,800
Speaker 1: no food, we wouldn't have any medicine, we wouldn't have

1519
01:27:42,800 --> 01:27:46,320
Speaker 1: any protective gear, nothing. They did it. Good call, Luis.

1520
01:27:46,320 --> 01:27:47,680
Speaker 1: I wish you. But what's the name of your place?

1521
01:27:47,680 --> 01:27:48,960
Speaker 1: By the way, we'll give you a plug. What's the

1522
01:27:49,080 --> 01:27:53,599
Speaker 1: name Caliber's indoor shooting ranges in Albuquerque, New Mexico. Yeah.

1523
01:27:53,640 --> 01:27:55,720
Speaker 1: I had a guy in Florida, Felix. He just uh,

1524
01:27:55,880 --> 01:27:58,559
Speaker 1: he's down in Sarasota area. He's I bought some stuff

1525
01:27:58,560 --> 01:28:02,880
Speaker 1: from him recently, really good stuff. I'm actually really happy

1526
01:28:02,880 --> 01:28:05,680
Speaker 1: about it. Thank you. Felix. Thank you, sir. All Right,

1527
01:28:05,720 --> 01:28:09,759
Speaker 1: Amy Colorado, what's up baby? How are you hi? Sean,

1528
01:28:09,920 --> 01:28:13,120
Speaker 1: thank you for taking my call. You'll be happy to

1529
01:28:13,160 --> 01:28:18,640
Speaker 1: know that funding is going to marijuana shops in Colorado.

1530
01:28:18,640 --> 01:28:23,160
Speaker 1: I read apparently today. I know, right, and it's pretty crazy,

1531
01:28:23,240 --> 01:28:26,360
Speaker 1: but at least our governor decided to open the state

1532
01:28:26,520 --> 01:28:30,840
Speaker 1: up start eating on the twenty seventh. And just a

1533
01:28:30,880 --> 01:28:34,080
Speaker 1: little example of how we can do it in a

1534
01:28:34,200 --> 01:28:37,640
Speaker 1: smart way. I go to your nail salon and my

1535
01:28:37,840 --> 01:28:41,360
Speaker 1: Neil Salon actually sent me an email today stating their

1536
01:28:41,400 --> 01:28:45,320
Speaker 1: opening on the first of May, and that all they're

1537
01:28:45,360 --> 01:28:49,040
Speaker 1: deep cleaning the entire place. They're doing the spacing so

1538
01:28:49,080 --> 01:28:52,080
Speaker 1: that we have shewsful distancing. They're thanking me a certain

1539
01:28:52,080 --> 01:28:56,760
Speaker 1: amount of customers. They're obboy to be wearing Ppee masks.

1540
01:28:57,479 --> 01:29:01,120
Speaker 1: They asked their customers to wear masks, and that's that's

1541
01:29:01,120 --> 01:29:03,160
Speaker 1: all they're asking of us is to wear masks, and

1542
01:29:03,200 --> 01:29:06,080
Speaker 1: they're going to do the rest pretty much. So there

1543
01:29:06,120 --> 01:29:09,679
Speaker 1: are ways of getting a happy medium between taking things

1544
01:29:09,720 --> 01:29:13,600
Speaker 1: seriously and you know, doing things smartly so that we

1545
01:29:13,640 --> 01:29:17,320
Speaker 1: can get our economy going again. Listen, I just want

1546
01:29:17,360 --> 01:29:19,839
Speaker 1: the best for all of you. I'm a little concerned

1547
01:29:19,840 --> 01:29:22,559
Speaker 1: about nail salons. You know, I don't. I've never been

1548
01:29:22,600 --> 01:29:24,720
Speaker 1: to a nail salon for myself, but I used to

1549
01:29:24,760 --> 01:29:27,000
Speaker 1: take my daughter. I mean, she hated when I took her,

1550
01:29:27,160 --> 01:29:29,760
Speaker 1: and Lenda hates when I tell this story because I

1551
01:29:30,240 --> 01:29:32,679
Speaker 1: never knew the process of going to a nail salon.

1552
01:29:33,080 --> 01:29:35,000
Speaker 1: I mean, you do the whole thing, right, You stick

1553
01:29:35,000 --> 01:29:38,559
Speaker 1: your your feet in the in the pool that they have, right,

1554
01:29:38,600 --> 01:29:41,200
Speaker 1: you get the massage that they offer. You do the

1555
01:29:41,200 --> 01:29:45,920
Speaker 1: whole thing right. Um yeah, usually I do a predicure

1556
01:29:46,000 --> 01:29:50,559
Speaker 1: and a manicure, right. It takes forever, you know, it's

1557
01:29:50,600 --> 01:29:53,439
Speaker 1: I've never I'm like, I'm like coming out of my skin.

1558
01:29:53,479 --> 01:29:56,400
Speaker 1: So I would hire two people, then I'd hire three people.

1559
01:29:56,840 --> 01:29:59,040
Speaker 1: I tipped everybody really well, so they all wanted when

1560
01:29:59,160 --> 01:30:01,720
Speaker 1: they saw me come in, they they love me. But

1561
01:30:01,840 --> 01:30:05,200
Speaker 1: my daughter was like, Daddy, it's embarrassing. You know, nobody

1562
01:30:05,240 --> 01:30:07,800
Speaker 1: else here has two people working on them. Why are

1563
01:30:07,800 --> 01:30:09,439
Speaker 1: you doing this? I'm like, because we get out faster,

1564
01:30:10,360 --> 01:30:12,920
Speaker 1: and I guess that apparently takes away from the experience.

1565
01:30:13,120 --> 01:30:15,960
Speaker 1: Linda's shaking her head. Yeah, I mean I don't really

1566
01:30:16,080 --> 01:30:18,360
Speaker 1: understand if you're supposed to be getting your nails and

1567
01:30:18,360 --> 01:30:20,200
Speaker 1: your feet done, and it's supposed to be relaxing. I

1568
01:30:20,200 --> 01:30:23,040
Speaker 1: don't think having you standing around, chopping at the bit

1569
01:30:23,080 --> 01:30:25,559
Speaker 1: to get out of there is exactly the most relaxing experience.

1570
01:30:25,640 --> 01:30:27,080
Speaker 1: Quite frankly, I think you should wait in the car.

1571
01:30:27,840 --> 01:30:30,360
Speaker 1: But that's just me, okay, I just I don't know

1572
01:30:30,400 --> 01:30:32,799
Speaker 1: how people do it. I just like I don't understand.

1573
01:30:32,880 --> 01:30:36,439
Speaker 1: Tell you what about how do people do it all

1574
01:30:36,560 --> 01:30:40,040
Speaker 1: day and hang first of all to day. I can't

1575
01:30:40,080 --> 01:30:42,400
Speaker 1: talk about that because I'm you know, eighteen shades of

1576
01:30:42,479 --> 01:30:44,280
Speaker 1: sea through white and I burn at the drop of

1577
01:30:44,320 --> 01:30:47,160
Speaker 1: the sunlight. Okay, all right, but it's not that. It's

1578
01:30:47,200 --> 01:30:49,720
Speaker 1: just even if you sit under a what do you

1579
01:30:49,760 --> 01:30:52,559
Speaker 1: call it? Umbrella? Who can sit there for an all day?

1580
01:30:52,680 --> 01:30:56,000
Speaker 1: I want them blow my brains out sitting there on

1581
01:30:56,120 --> 01:30:58,639
Speaker 1: board to death. I think we should have a pole.

1582
01:30:58,920 --> 01:31:01,320
Speaker 1: After COVID and we're allowed to go back out and

1583
01:31:01,360 --> 01:31:03,680
Speaker 1: the salons are back open. How many people think you

1584
01:31:03,680 --> 01:31:06,439
Speaker 1: should go into a salon and experience this for yourself

1585
01:31:06,479 --> 01:31:08,760
Speaker 1: so that you have a better understanding of the relaxation

1586
01:31:08,840 --> 01:31:11,559
Speaker 1: that's possible when you allow yourself to sit there. When

1587
01:31:11,600 --> 01:31:14,200
Speaker 1: I allow myself, what do you think what do you think.

1588
01:31:14,200 --> 01:31:16,240
Speaker 1: Do you want to go get a patticure? There's one

1589
01:31:16,320 --> 01:31:19,000
Speaker 1: right up the street from the studio. I think I'll

1590
01:31:19,080 --> 01:31:23,040
Speaker 1: pass on all of it. How's that mmmm? I think

1591
01:31:23,040 --> 01:31:24,439
Speaker 1: we'll do a pole. I think you're gonna have to

1592
01:31:24,479 --> 01:31:27,519
Speaker 1: do with the audience wants. No, I'm never doing it. No,

1593
01:31:27,600 --> 01:31:30,880
Speaker 1: I'll not take a pole. You know why, because the

1594
01:31:30,880 --> 01:31:35,679
Speaker 1: audience would do it just to torture me. Oh, nobody

1595
01:31:35,720 --> 01:31:37,920
Speaker 1: wants to touch. It's disgusting. And you know what I'll do.

1596
01:31:38,040 --> 01:31:39,800
Speaker 1: I'll stand right next to you the whole time and

1597
01:31:39,840 --> 01:31:41,680
Speaker 1: I'll tell them to hurry up and hurry you think

1598
01:31:41,680 --> 01:31:43,960
Speaker 1: it's safe? You all right? So, because they're doing this

1599
01:31:44,080 --> 01:31:46,320
Speaker 1: in Georgia, I'm a little worried about what Kemp's doing

1600
01:31:46,320 --> 01:31:50,439
Speaker 1: down there because if Kemp fails and the tattoo parlors

1601
01:31:50,439 --> 01:31:53,000
Speaker 1: sound dumb to me, But if he fails down there,

1602
01:31:53,080 --> 01:31:56,000
Speaker 1: very dumb, okay, which he might. You know what they're

1603
01:31:56,000 --> 01:31:58,439
Speaker 1: gonna do. They're gonna say, see you open too soon.

1604
01:31:59,040 --> 01:32:01,040
Speaker 1: That's what they're gonna do. Said to open the right

1605
01:32:01,080 --> 01:32:04,240
Speaker 1: way and do it safely. We have to understand that

1606
01:32:04,280 --> 01:32:07,600
Speaker 1: as soon as we open, there might be some increases

1607
01:32:07,680 --> 01:32:10,320
Speaker 1: in what we see is people that are going back

1608
01:32:10,320 --> 01:32:13,320
Speaker 1: out after not being out for so long. Right, So

1609
01:32:13,640 --> 01:32:15,519
Speaker 1: there's a there's a potential for a raise in this.

1610
01:32:15,680 --> 01:32:18,519
Speaker 1: But I think ultimately, if people are doing what they're

1611
01:32:18,560 --> 01:32:20,640
Speaker 1: supposed to be doing, we could be Okay. We have

1612
01:32:20,680 --> 01:32:22,240
Speaker 1: to be safe and smart. Got to leave it there.

1613
01:32:22,320 --> 01:32:25,320
Speaker 1: The President just steps to the podium to our stations, Hannity,

1614
01:32:25,360 --> 01:32:28,840
Speaker 1: tonight at nine, We'll let you close this out. We'll

1615
01:32:28,840 --> 01:32:30,200
Speaker 1: see you back here to morrow Sea at a night

1616
01:32:30,240 --> 01:32:39,040
Speaker 1: at nine, Thank you very much. Later this evening, we

1617
01:32:39,120 --> 01:32:45,520
Speaker 1: expect the House to pass Paycheck Protection Program and Healthcare

1618
01:32:45,880 --> 01:32:49,599
Speaker 1: Enhancement Act. I'm grateful that Congress is answering my call

1619
01:32:49,680 --> 01:32:53,559
Speaker 1: to deliver these additional three hundred twenty billion dollars in

1620
01:32:53,640 --> 01:32:57,960
Speaker 1: relief for the American worker and for small businesses. At

1621
01:32:57,960 --> 01:33:01,919
Speaker 1: a time when many Americans are in ring significant economic challenges.

1622
01:33:02,000 --> 01:33:05,760
Speaker 1: This bill will help small businesses to keep millions of

1623
01:33:05,800 --> 01:33:08,559
Speaker 1: workers on the payroll. You see states are starting to

1624
01:33:08,600 --> 01:33:10,760
Speaker 1: open up now, and it's very exciting to see. I

1625
01:33:10,800 --> 01:33:14,559
Speaker 1: think it's very awe inspiring. We're coming out of it,

1626
01:33:14,600 --> 01:33:18,200
Speaker 1: and we're coming out of it well, and we're really

1627
01:33:18,240 --> 01:33:21,120
Speaker 1: I'm very happy the governor has been The governors really

1628
01:33:21,160 --> 01:33:23,120
Speaker 1: have been doing a really good job working with us,

1629
01:33:23,120 --> 01:33:27,559
Speaker 1: and it's it's really pretty impressive to see. I've spoken

1630
01:33:27,600 --> 01:33:31,680
Speaker 1: to numerous leaders of countries over the last forty eight

1631
01:33:31,680 --> 01:33:34,720
Speaker 1: hours and they are saying we're leading the way. We're

1632
01:33:34,720 --> 01:33:37,880
Speaker 1: really leading the way in so many different ways. Well,

1633
01:33:37,920 --> 01:33:40,160
Speaker 1: I'm also very pleased at Harvard. Is your know, it's

1634
01:33:40,240 --> 01:33:45,160
Speaker 1: Harvard and Stanford and Princeton and numerous other universities in

1635
01:33:45,240 --> 01:33:50,800
Speaker 1: college as also large businesses have sent funds back to us,

1636
01:33:50,800 --> 01:33:54,080
Speaker 1: and in some cases I stopped funds that I looked at,

1637
01:33:54,200 --> 01:33:58,240
Speaker 1: and we are police to report that the funds have

1638
01:33:58,320 --> 01:34:01,040
Speaker 1: either not gun out or it's about three hundred and

1639
01:34:01,040 --> 01:34:05,160
Speaker 1: fifty million dollars and either they're not gone out, or

1640
01:34:06,520 --> 01:34:11,479
Speaker 1: we've renegotiated it and they're not getting them. So it's

1641
01:34:11,479 --> 01:34:13,719
Speaker 1: a couple of cases they're sending them back and sending

1642
01:34:13,720 --> 01:34:16,599
Speaker 1: them back immediately. So I think it was very nice.

1643
01:34:16,600 --> 01:34:18,880
Speaker 1: I want to thank Harvard in particular. They acted very

1644
01:34:18,920 --> 01:34:23,160
Speaker 1: quickly and decisively, and they agreed when they heard the

1645
01:34:23,160 --> 01:34:25,920
Speaker 1: facts that they should not be getting it. So we

1646
01:34:25,960 --> 01:34:31,240
Speaker 1: appreciate it very much from Harvard, Princeton, Stanford, and other institutions.

1647
01:34:31,880 --> 01:34:35,200
Speaker 1: The bill also includes thirty billion dollars to support small

1648
01:34:35,360 --> 01:34:40,360
Speaker 1: lending institutions serving distress communities, helping Countitalists, African American and

1649
01:34:40,479 --> 01:34:44,960
Speaker 1: Hispanic American small businesses. As we continue our battle against

1650
01:34:45,000 --> 01:34:47,599
Speaker 1: the virus, the data and facts on the ground suggest

1651
01:34:47,680 --> 01:34:51,760
Speaker 1: that we're making great progress. In twenty three states, new

1652
01:34:51,800 --> 01:34:55,320
Speaker 1: cases have declined in the peak week. Forty percent of

1653
01:34:55,320 --> 01:34:59,800
Speaker 1: American counties have also seen a rapid decline in new CA.

1654
01:35:00,960 --> 01:35:05,840
Speaker 1: Forty six states report a drop in patience showing coronavirus

1655
01:35:05,960 --> 01:35:11,120
Speaker 1: like symptoms. That's a big number. To keep America gaining momentum,

1656
01:35:11,120 --> 01:35:14,040
Speaker 1: every citizen needs to maintain the vigilance and we all

1657
01:35:14,080 --> 01:35:16,920
Speaker 1: understand that very well. We've gone over it many, many times.

1658
01:35:16,960 --> 01:35:21,640
Speaker 1: This includes practice in good hygiene, maintaining social distance, and

1659
01:35:21,760 --> 01:35:26,679
Speaker 1: the voluntary use of face covering a safe and phased

1660
01:35:26,720 --> 01:35:29,960
Speaker 1: reopening of our economy. It's very exciting, but does not

1661
01:35:30,400 --> 01:35:33,800
Speaker 1: mean that we are letting down our guard at all.

1662
01:35:33,840 --> 01:35:36,920
Speaker 1: In any way. On the contrary, continued diligence as an

1663
01:35:37,000 --> 01:35:40,479
Speaker 1: essential part of our strategy to get our country back

1664
01:35:40,479 --> 01:35:44,160
Speaker 1: to work, to take our country back. We're winning this,

1665
01:35:44,240 --> 01:35:45,680
Speaker 1: and we're going to win it, and we're going to

1666
01:35:45,800 --> 01:35:48,120
Speaker 1: keep watching. We're going to watch very closely for the

1667
01:35:48,160 --> 01:35:52,479
Speaker 1: invisible enemy. With each passing day, we're learning more and

1668
01:35:52,560 --> 01:35:58,080
Speaker 1: more about this enemy. The scientists at DHS have released

1669
01:35:58,080 --> 01:36:00,960
Speaker 1: a report offering a number of sites about how the

1670
01:36:01,040 --> 01:36:05,799
Speaker 1: virus reacts to different temperatures, climates, and surfaces. The findings

1671
01:36:05,840 --> 01:36:08,799
Speaker 1: confirmed that the virus survives better and colder and drier

1672
01:36:08,920 --> 01:36:13,880
Speaker 1: environments and does less well and warmer and more humid environments.

1673
01:36:15,120 --> 01:36:17,920
Speaker 1: I have to say that very excitingly. We're going to

1674
01:36:18,000 --> 01:36:21,000
Speaker 1: have somebody up, Bill, we'll be up in just a

1675
01:36:21,000 --> 01:36:23,400
Speaker 1: little while. It was a great report you gave, and

1676
01:36:23,479 --> 01:36:26,400
Speaker 1: he's going to be talking about how the virus reacts

1677
01:36:26,400 --> 01:36:29,080
Speaker 1: in sunlight. You really hear the numbers, you won't even

1678
01:36:29,080 --> 01:36:34,200
Speaker 1: believe them. US trials of the COVID nineteen have been

1679
01:36:35,320 --> 01:36:39,720
Speaker 1: going on and have been approved in the United States, Germany, UK,

1680
01:36:39,920 --> 01:36:43,479
Speaker 1: and China. It's big news and we're a lot of

1681
01:36:43,520 --> 01:36:45,120
Speaker 1: trials are going on and we have a lot of

1682
01:36:45,160 --> 01:36:49,440
Speaker 1: great brilliant minds working on this, both from the standpoint

1683
01:36:49,479 --> 01:36:53,600
Speaker 1: of a vaccine and therapeutics. We must be careful in

1684
01:36:53,640 --> 01:36:58,719
Speaker 1: all conditions, but we will, we will get this done.

1685
01:36:58,880 --> 01:37:02,800
Speaker 1: We're very close to a vaccine. Unfortunately, we're not very

1686
01:37:02,800 --> 01:37:05,479
Speaker 1: close to testing because when the testing starts it takes

1687
01:37:05,479 --> 01:37:08,000
Speaker 1: a period of time. But we'll get it done. And

1688
01:37:08,040 --> 01:37:12,240
Speaker 1: I want to thank the head of DHS Science and Technology,

1689
01:37:12,320 --> 01:37:15,720
Speaker 1: Bill Brian, for what he's going to be doing and

1690
01:37:15,800 --> 01:37:17,800
Speaker 1: what he's going to be saying and the report that

1691
01:37:17,840 --> 01:37:21,200
Speaker 1: he's about to give. I think it's going to be

1692
01:37:21,600 --> 01:37:24,320
Speaker 1: something that nobody's ever heard. It will be brand new

1693
01:37:24,320 --> 01:37:28,479
Speaker 1: information and very important information. My administration continues to leverage

1694
01:37:28,520 --> 01:37:33,080
Speaker 1: the Defense Production Act to dramatically increase the manufacturing delivery

1695
01:37:33,120 --> 01:37:38,040
Speaker 1: of critical medical supplies. We finalize three contracts to produce

1696
01:37:38,120 --> 01:37:41,599
Speaker 1: thirty nine million more and ninety five masks and ninety days.

1697
01:37:41,640 --> 01:37:45,880
Speaker 1: And as you know, we're also using a sterilization process

1698
01:37:45,920 --> 01:37:50,400
Speaker 1: some great equipment that will sterilize the masks up to

1699
01:37:50,479 --> 01:37:54,000
Speaker 1: twenty times per mask. So that's like ordering twenty times

1700
01:37:54,000 --> 01:37:57,760
Speaker 1: more masks and it's working very well. We just want

1701
01:37:57,760 --> 01:38:00,640
Speaker 1: the hospitals and the institutions where it is to use it.

1702
01:38:00,680 --> 01:38:02,320
Speaker 1: A lot of people don't use it. There's they're used

1703
01:38:02,320 --> 01:38:04,920
Speaker 1: to getting a new mask. They don't want to use it.

1704
01:38:04,920 --> 01:38:08,160
Speaker 1: They want to go and immediately get a new one.

1705
01:38:08,200 --> 01:38:12,120
Speaker 1: We're asking them to use the sterilization process. Every bit

1706
01:38:12,240 --> 01:38:14,680
Speaker 1: is good up to twenty times. Think of that. In

1707
01:38:14,720 --> 01:38:18,080
Speaker 1: addition to wrapping up our domestic assembly lines, we also

1708
01:38:18,120 --> 01:38:21,080
Speaker 1: have airlifted nearly seven hundred and fifty million pieces of

1709
01:38:21,120 --> 01:38:25,439
Speaker 1: personal protective equipment into the United States through our Project

1710
01:38:25,600 --> 01:38:29,799
Speaker 1: air Bridge, which has been an incredible thing to watch.

1711
01:38:30,479 --> 01:38:34,240
Speaker 1: It's really a military operation. The Vice President is now

1712
01:38:34,280 --> 01:38:39,200
Speaker 1: providing each governor with an exhaustive count by county breakdown

1713
01:38:39,560 --> 01:38:46,000
Speaker 1: of the privately distributed personal protection and this is equipment

1714
01:38:46,080 --> 01:38:51,040
Speaker 1: and things that are incredible. It's personal protective equipment. It's incredible,

1715
01:38:51,080 --> 01:38:54,200
Speaker 1: and it's all brand new and at the highest level.

1716
01:38:54,240 --> 01:38:58,719
Speaker 1: We're getting only the highest level. And also we're looking

1717
01:38:58,760 --> 01:39:02,160
Speaker 1: at essential gear within their states and as being delivered

1718
01:39:02,160 --> 01:39:06,280
Speaker 1: to different states quickly, and as we speak this way,

1719
01:39:06,280 --> 01:39:08,880
Speaker 1: the governors should know exactly what's being delivered through a

1720
01:39:08,960 --> 01:39:12,400
Speaker 1: private sector supply chain within their states as well as

1721
01:39:12,400 --> 01:39:14,800
Speaker 1: through the Project air Bridge. We're trying to get it

1722
01:39:14,840 --> 01:39:17,439
Speaker 1: immediately from the plane to the state. When we can't

1723
01:39:17,439 --> 01:39:20,599
Speaker 1: do that, we bring it into our facilities and get

1724
01:39:20,640 --> 01:39:22,880
Speaker 1: it to the governors. And we're getting them fast, and

1725
01:39:22,880 --> 01:39:25,280
Speaker 1: we're notifying them very strongly so they know it's there.

1726
01:39:25,920 --> 01:39:28,840
Speaker 1: Governors can use this information to quickly ensure that they

1727
01:39:28,880 --> 01:39:33,559
Speaker 1: get materials where and when they are needed. Today also

1728
01:39:33,600 --> 01:39:36,480
Speaker 1: want to extend my special thanks to our nation's incredible

1729
01:39:36,560 --> 01:39:41,719
Speaker 1: county emergency management teams who have been working relentlessly for weeks,

1730
01:39:41,760 --> 01:39:45,920
Speaker 1: around the clock, end on end to serve their communities,

1731
01:39:46,320 --> 01:39:51,080
Speaker 1: help distribute critical supplies, and save capitalists American lives. We

1732
01:39:51,120 --> 01:39:55,760
Speaker 1: salute these heroic officials on the front lines. As we

1733
01:39:55,840 --> 01:39:59,439
Speaker 1: continue to develop potential therapies, the FDA has recently begun

1734
01:39:59,479 --> 01:40:03,679
Speaker 1: a national effort to expand access to convalescent plasma donated

1735
01:40:03,760 --> 01:40:06,879
Speaker 1: from the blood of those who have recovered from the virus.

1736
01:40:07,920 --> 01:40:12,040
Speaker 1: The blood of these donors contains antibodies that can potentially

1737
01:40:12,040 --> 01:40:14,559
Speaker 1: reduce the severity of the illness and those who are

1738
01:40:14,600 --> 01:40:18,960
Speaker 1: sick and frankly those that are very sick. Nearly three

1739
01:40:19,000 --> 01:40:22,559
Speaker 1: thousand patients are now enrolled and the expanded access program

1740
01:40:22,600 --> 01:40:25,640
Speaker 1: receiving transfusions nationwide. And I want to thank all of

1741
01:40:25,680 --> 01:40:29,600
Speaker 1: the people that recovered for what they've done. As I

1742
01:40:29,640 --> 01:40:33,400
Speaker 1: said yesterday, they raise their hand when they barely can

1743
01:40:33,479 --> 01:40:36,920
Speaker 1: walk and they're saying I want to donate blood. I

1744
01:40:36,960 --> 01:40:39,679
Speaker 1: want to donate whatever it is that you want because

1745
01:40:39,760 --> 01:40:43,920
Speaker 1: we want to help people. It's really quite incredible. Convalescent

1746
01:40:43,960 --> 01:40:48,560
Speaker 1: plasma will also be used to manufacture a concentrated antibody

1747
01:40:48,600 --> 01:40:51,439
Speaker 1: treatment that does not have to be matched with a

1748
01:40:51,479 --> 01:40:56,320
Speaker 1: particular blood type. This concentrated antibody treatment could be used

1749
01:40:56,360 --> 01:40:59,640
Speaker 1: as a preventative measure to keep healthcare workers in other

1750
01:40:59,680 --> 01:41:00,080
Speaker 1: high with