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Speaker 1: I glad you with us saying happy Monday, if you

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Speaker 1: can call it that. I know these are hard times

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Speaker 1: for everybody, and everyone's getting a little stir crazy and

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Speaker 1: wanting to get out of the house. I've been getting

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Speaker 1: out of the house walking, that's right, taking in some pressure.

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Speaker 1: It seems to help me a lot again eight hundred

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Speaker 1: and nine for one, Sean, you want to be a

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Speaker 1: part of this extravaganza. Fascinating information, to pass on, fascinating data,

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Speaker 1: to pass on the great hydroxy chloroquin debate, which we

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Speaker 1: will do a deep dive into today. It seems hospitalizations,

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Speaker 1: need for beds, et cetera, et cetera, New York are

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Speaker 1: not materializing anywhere near what they thought it would be.

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Speaker 1: There is some anecdotal evidence we could be at the apex,

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Speaker 1: the leveling, and then hopefully the decline if the patterns

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Speaker 1: hold true, which we have talked extensively about. You know,

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Speaker 1: it's moments a crisis. I'll tell you, it's just like,

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Speaker 1: my appetite for stupidity is zero. You know, some idiot

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Speaker 1: from the media mob calls and he's like, I'm like,

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Speaker 1: do you do you know anything? Do you read this?

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Speaker 1: Did you read that? Did you read this? Did you

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Speaker 1: read I'm going through through a list of things. I said,

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Speaker 1: why don't you, why don't youse sequester yourself for the

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Speaker 1: next forty eight hours and call me back because you

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Speaker 1: don't know a thing and his lack of utter curiosity

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Speaker 1: is breathtaking to me. Guy's a young guy, and I said,

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Speaker 1: let me, let me advise you right now, do your research,

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Speaker 1: do something on your own. My appetite for Joe Biden

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Speaker 1: reversing himself from the xenophobic, hysterical and fear mongering travel band.

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Speaker 1: I mean, it's moments like this, you just see. Wow.

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Speaker 1: I don't know what's worse that he didn't support it,

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Speaker 1: that he called the president races, xenophobic, hysterical, and a fearmongerer,

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Speaker 1: or now you know, as I said Friday night, two

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Speaker 1: months and three days later, a little late, Joe, You're

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Speaker 1: a little late. You know you can't have a serious

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Speaker 1: discussion about hydroxy chloroquin with people that say, well, Trump must,

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Speaker 1: he must probably have a financial tie to hydroxy chloroquin.

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Speaker 1: The drug's been around forty five years. There's nobody making

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Speaker 1: a lot of money on hydroxy chloroquin. I can tell

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Speaker 1: you that if anyone knows anything about the pharmaceutical industry

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Speaker 1: and how it works, those years that you make money,

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Speaker 1: you got a short window, and then everybody starts making it,

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Speaker 1: and then you get it for next to nothing. That's

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Speaker 1: pretty much how the pattern plays out. There is the

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Speaker 1: epic fail of the governor and the mayor of New York.

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Speaker 1: I mean, it is the most pathetic display of leadership,

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Speaker 1: all talk, no action that I've ever seen in my life.

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Speaker 1: But for Donald Trump, New York would be in far

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Speaker 1: worse shape today by a factor of a hundred. It's amazing.

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Speaker 1: And I'll explain all of that. I want to spend

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Speaker 1: a lot of time, and doctor Oz will check in

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Speaker 1: with us today. And some of the data being put

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Speaker 1: out by Sean Davis or the federalist Cheryl Atkinson is

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Speaker 1: fantastic stuff to look at if you're interested in how

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Speaker 1: this is moving and how the predictions are wrong, and

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Speaker 1: where do we think it's going, just to try and

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Speaker 1: get ahead of what we expect and manage what our

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Speaker 1: real expectation should be. But it's it is pretty amazing.

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Speaker 1: We've never had a mobilization healthcare mobilization as this one.

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Speaker 1: All the books are being rewritten. I mean, you know,

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Speaker 1: we're seeing Navy ship hospitals being deployed to California. In

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Speaker 1: New York and record time. You've got four huge including

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Speaker 1: the largest hospital now in New York three thousand beds

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Speaker 1: at the Javits Center. Not only did the Army Corps

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Speaker 1: of Engineers build it for CUOMO, but now they're going

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Speaker 1: to be manning it for CUOMO because of potential down

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Speaker 1: the line. That's been the toughest week personnel shortages. That

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Speaker 1: is an amazing thing. We also have eight large medical

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Speaker 1: stations with two thousand beds for California, three large medical

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Speaker 1: stations and four small medical stations with a thousand beds

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Speaker 1: the state of Washington. Now additional location showing up in

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Speaker 1: New Orleans and other locations in Louisiana and one in

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Speaker 1: Texas as I understand it. We told you about the

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Speaker 1: USNS Comfort and us NS Mercy in Los Angeles thousand

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Speaker 1: beds each. Somehow COVID nineteen got into the Comfort in

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Speaker 1: New York that is now going to be converted. I

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Speaker 1: think they're going to now take on coronavirus patients there.

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Speaker 1: Certainly takes away the overflow. One thing they've noticed in

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Speaker 1: New York. First, there are some people in the medical

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Speaker 1: community that are losing jobs. I'm sure their skills could

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Speaker 1: be utilized other places if they if they so desire

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Speaker 1: to get into that fight. Different from maybe what their

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Speaker 1: specialty is, but just knowing your way around a hospital

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Speaker 1: could probably be very helpful. As of April first, a

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Speaker 1: number of days ago, point six million and ninety five

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Speaker 1: mask respirators had been sent out, twenty six point three

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Speaker 1: million surgical masks, five point two million face shields, four

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Speaker 1: point three millillion surgical gowns. Again, this is all from

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Speaker 1: the federal government, twenty two point four million gloves. Seven

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Speaker 1: You know, we have a seven thousand Since then, I

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Speaker 1: know that another three thousand ventilators have ten thousand ventilators

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Speaker 1: have been set sent medical beds going up as quicker

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Speaker 1: than I could have ever thought possible. One thing that

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Speaker 1: Fauci said, and we're running into an old order of

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Speaker 1: the way of doing things versus the new speed of

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Speaker 1: technology and demand for let's just say thinking out of

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Speaker 1: the box. Because whatever book was written about pandemics, it's

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Speaker 1: now rewritten. Starting with travel bands will be automatic public

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Speaker 1: private partnerships. That's the future. Tele medicine. That is the future.

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Speaker 1: At home testing which they're developing, that's the future. This

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Speaker 1: week they roll out antibody testing, the CEFA had COVID nineteen,

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Speaker 1: the new Abbot test. They're going to start this week

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Speaker 1: doing fifty thousand tests a day, which is great anyway.

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Speaker 1: Faucci had authored Navigating and Unchartered, and if one assumes

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Speaker 1: the number of asymptomatic or minimally symptomatic cases is several

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Speaker 1: times as high as the number of reported cases, the

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Speaker 1: case fatality rate may be considerably less than one percent,

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Speaker 1: which she had said to me in the last interview

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Speaker 1: I had with him, which suggests the overall clinical consequences

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Speaker 1: of COVID nineteen may ultimately be more akin Again, this

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Speaker 1: is Fauci to those of a severe seasonal influenza, which

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Speaker 1: has a case fatality rate of approximately zero point one percent,

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Speaker 1: or a pandemic influenza similar to nineteen fifty seven and

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Speaker 1: sixty eight, rather than a disease similar to SARS and Mayors,

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Speaker 1: which have had case fatality rates nine to ten percent

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Speaker 1: and thirty six percent, respectively. If there's any good news,

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Speaker 1: if we're going to take any good news out of this,

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Speaker 1: if you look at the government records numbers as all

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Speaker 1: of this is reported. When they were making their models

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Speaker 1: and projections, for example, they thought that over one hundred

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Speaker 1: and twenty one thousand and Americans would be hospitalized as

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Speaker 1: of yesterday with coronavirus. The actual number was only thirty

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Speaker 1: one thousand, one hundred and forty two. And then if

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Speaker 1: you look at the specific states, there's a breakdown. You know,

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Speaker 1: the state of Texas, for example, they predicted one thousand,

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Speaker 1: seven hundred and sixteen. It ended up being dramatically lower,

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Speaker 1: like two hundred and something. Same with Georgia, they thought

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Speaker 1: it'd be close to three thousand, it was more close

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Speaker 1: to a thousand, and other states all across the board.

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Speaker 1: In New York, for example, they had predicted fifty one

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Speaker 1: thousand New Yorkers would be hospitalized as of yesterday. The

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Speaker 1: actual number was eighteen thousand, three hundred and sixty eight.

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Speaker 1: What does that mean. That means that it is not

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Speaker 1: as bad as the original projections, and that mitigation efforts,

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Speaker 1: travel band quarantine and the guidelines as issued by the

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Speaker 1: Task Force being listened to or having a significant impact.

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Speaker 1: That I would say is a good thing for everybody

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Speaker 1: now as it relates to the treatment. Let me just

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Speaker 1: start with I don't know why. As I watch the

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Speaker 1: mob in these press conferences, I get the very distinctive

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Speaker 1: impression that they don't read and that they don't listen

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Speaker 1: to anybody or anything other than their own points of view.

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Speaker 1: I mean, the level of ignorance just in their questions

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Speaker 1: alone is pretty spectacular. You know, there was this international

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Speaker 1: study and I'll give you the details as we go

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Speaker 1: on here that you know, sixty three hundred doctors worldwide

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Speaker 1: their number one treatment for correavirus is hydroxy chloroquin, along

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Speaker 1: with the zithromax in some cases, zinc in other cases,

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Speaker 1: also adding something like vitamin C, I mean, just different

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Speaker 1: variations of it. We know NYU is testing hydroxy chloroquin

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Speaker 1: as a possible preventative. That test is also being done

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Speaker 1: by Colombian doctor Oswold join us later because patients with

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Speaker 1: lupus and rheumatoid arthritis that have been taking hydroxy chloroquin

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Speaker 1: are seemingly not getting or not the rate of contraction

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Speaker 1: is negligible versus the general population, if at all. We

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Speaker 1: have some people in New York doctors now up till

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Speaker 1: even today, now we have twenty nine. According to the

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Speaker 1: President yesterday, twenty nine million doses of hydroxy chloroquin right

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Speaker 1: now available. I know that millions were sent to Cuomo

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Speaker 1: today and yesterday, and millions were sent to New Jersey

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Speaker 1: today and yesterday. And I had been saying to Cuomo,

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Speaker 1: and I wrote an op ed, we put it up

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Speaker 1: on Hannity dot comments on my Twitter page that he's

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Speaker 1: got to let doctors and patients make the decision themselves,

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Speaker 1: because in a survey of sixty three hundred doctors, if

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Speaker 1: patients want the right to choose, Governor Cuomo, let them

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Speaker 1: choose if their doctor recommends it hydroxy chloroquin. And as

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Speaker 1: many as four thousand seriously ill coronavirus patients in New

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Speaker 1: York are now being treated with the drug, and they've

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Speaker 1: been treated by the way in New York hospitals. But

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Speaker 1: the problem with his plan is that he's forcing people

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Speaker 1: whose doctors want them on it but have no need

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Speaker 1: to be in a hospital. You can't get at any

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Speaker 1: other place but a hospital. And if you put it

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Speaker 1: into the pharmacies, and it is working, and doctor Oz

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Speaker 1: is going to argue on this program today, it's no

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Speaker 1: longer anecdotal as I've been suggesting a lot of anecdotal evidence,

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Speaker 1: what doctors are saying, what doctors that are prescribing are saying,

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Speaker 1: what patients that have taken it are saying after having

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Speaker 1: taken it. It's now beyond that. And he will explain

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Speaker 1: in detail you some really good news to share with

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Speaker 1: you today. But a state Health Department official, you know

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Speaker 1: they ship now doses all over the place. Now, the

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Speaker 1: President said, the governor of New York finally is going

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Speaker 1: to open it to pharmacies that will relieve some of

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Speaker 1: the pressure on hospitals as we hit the apex week

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Speaker 1: that his own Health Department task force warned about, and

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Speaker 1: this is that week. And if he had purchased per

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Speaker 1: their recommendation, because they said it was his responsibility to

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Speaker 1: do so, and that this was going to happen, this

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Speaker 1: was foreseeable, but he failed to do it, we'd be

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Speaker 1: in a lot better shape anyway. So even the President

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Speaker 1: said it again, everyone makes their own medical decisions in

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Speaker 1: consultation with your own doctor. I know many of you

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Speaker 1: lost your doctor, lost your plan and are paying more.

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Speaker 1: But putting that separate issue aside. A Connecticut dad, This

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Speaker 1: was in the New York Post was on death's doorstep

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Speaker 1: before chlora quinn saved his life. I was in the

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Speaker 1: New York Post today. The wife of this guy, Elizabeth, said,

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Speaker 1: when doctors first tried hydroxy chloroquin there was not an

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Speaker 1: immediate noticeable response. Then his conditions started to turn around,

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Speaker 1: just as doctors were about to switch him to a

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Speaker 1: different treatment. I want to know what worked for him. Well,

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Speaker 1: A lot of doctors and a lot of people are

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Speaker 1: saying that Long Island doctor says hydroxy chloroquinness saved dozens

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Speaker 1: of infected nursing home patients. The list of people that

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Speaker 1: I can now name and doctors now supporting this is

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Speaker 1: a mile long. And people will saying, you're not a doctor. No,

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Speaker 1: but the President reads these people in the mob and

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Speaker 1: the media. They clearly don't want the information. Again, you

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Speaker 1: know what's important to them at any given moment. It

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Speaker 1: seems to be always trivial and always hate Trump because

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Speaker 1: if they would read the data. Don't believe doctor Hannity,

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Speaker 1: Believe doctor Oz. Because I'm not a doctor. Believe doctor Oz.

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Speaker 1: Listen to him. All these doctors and I will list

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Speaker 1: the names throughout the show today. Listen to them. We'll

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Speaker 1: get the names of all the patients that are gladly

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Speaker 1: telling their story how it had helped save their lives

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Speaker 1: or loved ones talking about their loved ones being saved

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Speaker 1: because of the use of it. If you have a

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Speaker 1: survey worldwide and it's the number one treatment of doctors worldwide.

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Speaker 1: When the country of Turkey confiscates all the hydroxy chloroquind

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Speaker 1: so they can take control of it and get control

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Speaker 1: of the disease within their country by using it, and

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Speaker 1: seventy three percent of patients in Spain are taking it,

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Speaker 1: and you know, you ask yourself the simple question, what

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Speaker 1: are the risks? Well, as of now they're mild to negligible.

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Speaker 1: And don't forget the drug has been around forty five years.

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Speaker 1: You know, people are taking it for lupus, rheumatoid arthritis,

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Speaker 1: and it's an anti malarial drug. And people are acting

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Speaker 1: like this is just something that was cooked up in

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Speaker 1: a scientist's lab over the weekend and we're just passing

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Speaker 1: it out like candy. No, there's a ton of stuff

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Speaker 1: you can read about it if you care to learn something.

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Speaker 1: These people are so pathetically lazy it's unbelievable. Sixty three

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Speaker 1: hundred doctors worldwide survey. Their number one treatment option is

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Speaker 1: hydroxy chloroquin. Those are facts. I'm not a doctor. Make

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Speaker 1: up your own mind for me. I made up my mind,

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Speaker 1: and I'll share as much data information and tell you

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Speaker 1: how I got to my decision. Doctor Oz has some

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Speaker 1: good news on the program. The American the Racic Society

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Speaker 1: that issued guidelines Monday suggesting patients with pneumoniaga doses of

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Speaker 1: hydroxy chloroquin. The President is added now twenty nine million

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Speaker 1: doses of hydroxy chloroquin, sending millions to New York. So

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Speaker 1: now it appears that finally Andrew Cuomo, who needed everything

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Speaker 1: done for him, everything he listened to nobody, and I'll

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Speaker 1: get into that. Andrew Cuomo will then have to allow

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Speaker 1: the pharmacies to now again fulfill prescriptions for hydroxy chloroquin.

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Speaker 1: I'm going to talk to doctor Oz at the top

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Speaker 1: of the next hour. He is saying the time for

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Speaker 1: saying this is anecdotal is over, and he's going to

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Speaker 1: explain it. The prediction was as of yesterday that we

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Speaker 1: would have had one hundred and twenty one thousand Americans hospitalized,

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Speaker 1: many of them in New York. That number never materialized.

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Speaker 1: There was thirty one, one hundred and forty two and similarly,

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Speaker 1: those needing ICU units is only a fraction of what

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Speaker 1: had been predicted as well. Now, when we get back

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Speaker 1: the debate over hydroxy chloroquin, and you know, at the

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Speaker 1: end of the day, you're going to decide, your doctor's

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Speaker 1: gonna decide because you can't get it without a doctor's prescription.

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Speaker 1: But why is this being embraced and why do I

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Speaker 1: look at it as something interesting? All right? Twenty five No,

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Speaker 1: until the top of the hour eight hundred ninety four

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Speaker 1: one sewn, you want to be a part of the program,

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Speaker 1: doctor Oz at the top of the next hour. Now

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Speaker 1: we've had all these doctors on the program. We've asked

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Speaker 1: been asking all of them what do they think of

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Speaker 1: hydroxy chloroquin. Now this is a personal decision. Every individual's

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Speaker 1: got to make it themselves. Every doctor will have to

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Speaker 1: make it themselves. There is in my mind an underlying

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Speaker 1: conflict in battle that has emerged. I mean it is

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Speaker 1: you know, in the words of doctor Oz, what he's

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Speaker 1: been saying is, well, you go to war with what

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Speaker 1: you got and then you have you know, Look, I

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Speaker 1: would say, with all the new rules being written on pandemics,

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Speaker 1: travel bands were never brought into effect. Now that'll be

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Speaker 1: the future. Tell a medicine will be the future, drive

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Speaker 1: up testing, home testing then then or after now that

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Speaker 1: we can break down the sequences of viruses. By the

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Speaker 1: time you get to a vaccine, too many people will

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Speaker 1: have died if it's a pandemic. But you know this

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Speaker 1: is a predictable thing that's going to happen. So you know,

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Speaker 1: you have this old style of thinking, Well, we've got

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Speaker 1: to have, you know, before we can put our seal

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Speaker 1: of approval on a treatment method, we must have the

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Speaker 1: clinical trials. And there are many doctors that are completely

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Speaker 1: and totally risk averse, and frankly, there are other doctors

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Speaker 1: that fit into the category I don't feel like getting sued,

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Speaker 1: and that is a big part of that category. And

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Speaker 1: so you begin by looking at what we call anecdotal

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Speaker 1: information that is available. Now. One of the things that

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Speaker 1: I've been fascinated by, and there are studies being done

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Speaker 1: by both NYU LANG GONE that's being funded by the

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Speaker 1: Bill and Melinda Gates Foundation, is patients that take hydroxy

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Speaker 1: chloroquine for lupus and rheumatoid arthritis. Well, they seem very less.

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Speaker 1: They seem in a category all unto themselves in terms

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Speaker 1: of least likely to contract. According to as of now

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Speaker 1: anecdotal evidence, the coronavirus contract the disease. Well, why is

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Speaker 1: that doesn't have to do with the meta that they're taking. Well,

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Speaker 1: the doctors I talk to and bring on the air

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Speaker 1: to you seem to suggest there is now evidence that

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Speaker 1: suggest that's true. That would be good. You have to

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Speaker 1: assess with your doctor. Okay, what are the risks? You

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Speaker 1: have to ask doctors? Well, why are you prescribing it?

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Speaker 1: You can listen and to all the people that we've interviewed,

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Speaker 1: the doctors that have used hydroxy chloroquin along with zis

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Speaker 1: roemiacin and end or zinc in some cases of vitamin

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Speaker 1: C U. Okay, what do we what are the risks

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Speaker 1: that we do know? Well, we know you can get

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Speaker 1: a rash, that's one of the risks we know that there.

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Speaker 1: If you have underlying health issues, it's always a bigger

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Speaker 1: risk no matter what you do, or hepatitis C or

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Speaker 1: something like that. If you have a rhythmia, that's a

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Speaker 1: big risk associated with hydroxychloroquin. If you take it in

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Speaker 1: high doses, well then it has the possibility of impacting

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Speaker 1: your RICE site, but not at the do from all

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Speaker 1: that I've read that we're suggesting here, But you've got

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Speaker 1: to make that decision on your own. Now. If the mitigation,

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Speaker 1: along with the travel ban and the quarantines do work well,

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Speaker 1: and hydroxy chloroquin, if people can get it at the

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Speaker 1: first initial signs they may have it or confirmed case,

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Speaker 1: but that may be asymptomatic or only a mild symptoms,

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Speaker 1: well what would that mean if it is working, like

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Speaker 1: seventy three percent of patients now in Spain have gotten it,

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Speaker 1: Turkeys giving it to anybody that would have it. In

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Speaker 1: some countries are even giving it out prophylactically because they

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Speaker 1: think it will prevent contraction of the disease. And this

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Speaker 1: is where I get so frustrated with the media, because

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Speaker 1: they're too lazy to read. But if in fact it

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Speaker 1: mitigates further, If mitigation is working, when travel bands are working,

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Speaker 1: and disruption of our lives are working, and using masks

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Speaker 1: and social distancing is working well, if hydroxy chloroquin is

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Speaker 1: helping people get better faster and is maybe at some

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Speaker 1: point we'll learn even more and better news on it.

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Speaker 1: That means less hospitalizations, that means less need pre ventilation.

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Speaker 1: By the way, all to talk about ventilators, you don't

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Speaker 1: want to get on a ventilator. Your odds then are

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Speaker 1: you're not in good shape if you're on the ventilator.

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Speaker 1: Let me put it that way, and that would mean

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Speaker 1: less hospitalization, less need pre ventilation, more care available for

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Speaker 1: those that are really sick. But if you're really busy

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Speaker 1: in the hospitals, were overwhelmed, you're not going to have

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Speaker 1: that ability. You know, doctor Oz, who I've really gotten

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Speaker 1: to know. I talked to this guy three in the

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Speaker 1: morning now every night who were up talking late last night,

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Speaker 1: and he's now making the case at this claim you know,

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Speaker 1: the support of data is only anecdotally, says no, we've

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Speaker 1: moved beyond that. He's going to make that case to

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Speaker 1: you at the top of the hour and I'll let

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Speaker 1: him tell you why. There is a new clinical study

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Speaker 1: that was done in France that he's going to share

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Speaker 1: with you today. And he got an update just last

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Speaker 1: night from French doctors. And you know what he's been

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Speaker 1: saying is everyone that's saying it's unproven, but it's its

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Speaker 1: official definition is you know, demonstrated by evidence or argument

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Speaker 1: to be true or existing. He said it's a false statement,

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Speaker 1: and he's even saying it's intellectually dishonest. And I'll let

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Speaker 1: him make his case for you, but you know what

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Speaker 1: he had been saying. Look, we not only have the

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Speaker 1: patients that he's put on his show, people I've interviewed

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Speaker 1: that have used it on this show and on a

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Speaker 1: TV but we've also had you know, the doctor, the

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Speaker 1: other doctors overwhelmingly saying it. You know. Again, you can

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Speaker 1: go to the study that came out, which I think

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Speaker 1: is pretty interesting that you have six thousand, three hundred

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Speaker 1: doctors and wow, they're all saying the same thing. This

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Speaker 1: is a pretty amazing, you know study, global survey. This

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Speaker 1: was I first saw it in the Washington Times, an

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Speaker 1: international poll six thousand, two hundred and twenty seven positions

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Speaker 1: in thirty countries, and they found that thirty seven percent

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Speaker 1: of treating COVID nineteen patients rated hydroxy chloroquin as the

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Speaker 1: most effective therapy. And they found the most commonly prescribed

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Speaker 1: treatments to be analgesics and azithromyacin and hydroxy chloroquin and

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Speaker 1: a Z pack. So they're putting it together now, that's

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Speaker 1: another risk. By the way, if you put a Z

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Speaker 1: pack together with the hydroxy chloroquine, there has been some

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Speaker 1: issues where it is more effective and some issues where

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Speaker 1: maybe a little more risky prepatients to take that combination.

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Speaker 1: But talk to your doctors. I mean, that's why you

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Speaker 1: have a doctor to ask questions of I saw in

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Speaker 1: New York. Now we're seeing this basically being the baseline

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Speaker 1: treatment in every hospital of every doctor that I know.

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Speaker 1: All these hospitals in New York are using it. The

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Speaker 1: problem with Cuomo's stupid policy is Cuomo is forcing people

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Speaker 1: into the hospital system, which you know, we've been worried

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Speaker 1: might be overridden and over or taxed to get the

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Speaker 1: medicine that the doctors would gladly prescribe if they're at home.

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Speaker 1: But he won't allow pharmacies to fill the prescription. So

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Speaker 1: you have to tell your patient go to the hospital,

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Speaker 1: which is probably in this day and age, the last

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Speaker 1: place you want to go. And of course you have

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Speaker 1: people playing politics with all of this. A democratic state

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Speaker 1: representative in Ohio, she can't take it anymore. She's vowing

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Speaker 1: to refer President Frum to the International Criminal Court for

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Speaker 1: crimes against humanity. Oh really, But anyway, back to doctor

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Speaker 1: Os for a second here, and he interviewed this French

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Speaker 1: infectious disease specialist who had released the first bit of

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Speaker 1: data on a small group of patients that were treated

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Speaker 1: in a particular case. Then he believed that the combination

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Speaker 1: of hydroxy chlora quinn with zithromyason Z packet, other words,

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Speaker 1: could reduce the amount of virus released by patients and

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Speaker 1: make them less infectious. And anyway, released the first data

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Speaker 1: of eighties sequential patients on the protocol or revealed very

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Speaker 1: few side effects and better results than experts would expect.

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Speaker 1: But he says drawing conclusions with a randomized control group

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Speaker 1: is difficult, and of course the American medical community, the

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Speaker 1: Food and Drug administration, yeah, we would be best if

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Speaker 1: we could all have large randomized trials before supporting widespread use.

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Speaker 1: By the way, the Turkeys, the country of Turkey, and China,

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Speaker 1: well they included in their official protocols, as do as

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Speaker 1: is Spain, as is the French in France, etc. Etc. Anyway,

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Speaker 1: he also points out that in admissions in the Wuhan hospital,

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Speaker 1: again more evidence, none of them were systemic lupus or

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Speaker 1: patients taking this those with rheumatoid arthritis. And what they're

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Speaker 1: finding is they noticed coronavirus that those patients weren't having.

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Speaker 1: There were no rheumatoid arthritis patients, there were no lupus

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Speaker 1: patients coming in to get treated. None of the patients

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Speaker 1: with lupus treated with the medication. We're infected. Okay. At

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Speaker 1: that point, I'd say we're still at the anecdotal level.

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Speaker 1: All the interviews you hear from doctors, etc. Okay, we

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Speaker 1: can say it's anecdotal. And as doctor Oz said in

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Speaker 1: his first column, this raises the possibility that hydroxy chloroquin

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Speaker 1: may prevent infection. Well, there are two studies now going

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Speaker 1: into that very issue, and doctor zan Zang and her

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Speaker 1: respected team initiated the randomized trial, the results of which

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Speaker 1: they released prior to peer review. But they looked at

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Speaker 1: sixty two patients diagnosed with COVID nineteen thirty one, randomly

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Speaker 1: assigned to either a control group or experimental group, and

428
00:25:38,320 --> 00:25:43,199
Speaker 1: the control group receives standard treatment oxygen therapy, anti viral's, antibiotics,

429
00:25:43,560 --> 00:25:48,080
Speaker 1: and immunomodulators. The experimental group got four hundred milligrams hydroxy

430
00:25:48,119 --> 00:25:52,240
Speaker 1: chloroquin per day for five days. What did they find, well,

431
00:25:52,480 --> 00:25:56,800
Speaker 1: those taking hydroxy chloroquin on average one day less fever

432
00:25:56,920 --> 00:26:00,919
Speaker 1: and cough compared to control More impressively, eighty one percent

433
00:26:00,920 --> 00:26:05,040
Speaker 1: of patients taking hydroxy chloroquin had improvement in pneumonia on

434
00:26:05,160 --> 00:26:08,440
Speaker 1: CT scans compared to the control group, which was only

435
00:26:08,480 --> 00:26:11,960
Speaker 1: fifty five percent. Now he's got a new study he's

436
00:26:11,960 --> 00:26:14,640
Speaker 1: going to share with us of apparently a thousand patients

437
00:26:14,640 --> 00:26:18,639
Speaker 1: in France that is showing incredible results. And I'll let

438
00:26:18,720 --> 00:26:21,719
Speaker 1: him break that news for you. And he goes on

439
00:26:21,880 --> 00:26:26,560
Speaker 1: that he interviewed the famous famed virus hunter doctor Ian

440
00:26:26,720 --> 00:26:30,240
Speaker 1: Lipkin on his show to talk about all of this,

441
00:26:30,320 --> 00:26:34,560
Speaker 1: and well, if you watch that particular show, he highlighted

442
00:26:34,560 --> 00:26:37,000
Speaker 1: another recent study that found no difference in the outcome

443
00:26:37,240 --> 00:26:40,359
Speaker 1: with hydroxy chloroquin treated patients and control groups, but the

444
00:26:40,359 --> 00:26:43,680
Speaker 1: study was even smaller. And then he goes into this argument,

445
00:26:44,000 --> 00:26:48,200
Speaker 1: you march into battle with the army. You have sure

446
00:26:48,280 --> 00:26:51,239
Speaker 1: the doctor Fauci's of the world are right. It'd be

447
00:26:51,240 --> 00:26:54,440
Speaker 1: better to wait longer as long as possible. All the studies.

448
00:26:54,720 --> 00:26:56,440
Speaker 1: You got to remember too, it's a drug that's been

449
00:26:56,440 --> 00:26:59,639
Speaker 1: around for forty five years. In other words, if the

450
00:26:59,760 --> 00:27:03,000
Speaker 1: risks were such that people would die just from taking

451
00:27:03,040 --> 00:27:06,280
Speaker 1: the drug, we wouldn't be having this discussion. We got

452
00:27:06,280 --> 00:27:08,440
Speaker 1: a doctor in LA saying very much the same thing.

453
00:27:08,440 --> 00:27:12,480
Speaker 1: I read that on the Blaze today. And so anyway,

454
00:27:13,119 --> 00:27:15,040
Speaker 1: just to give you a little headline of what he's

455
00:27:15,080 --> 00:27:18,720
Speaker 1: saying about this trial that took place, is that all

456
00:27:18,760 --> 00:27:22,000
Speaker 1: of the information that we're now receiving, he is now saying,

457
00:27:22,040 --> 00:27:26,320
Speaker 1: we are beyond using the term anecdotal. He says, we are.

458
00:27:26,960 --> 00:27:30,440
Speaker 1: He says in every article they claim it's anecdotal. He

459
00:27:30,520 --> 00:27:33,840
Speaker 1: now is saying this is a case series and randomized trials.

460
00:27:33,840 --> 00:27:36,360
Speaker 1: And he's right. But I'll let him, he's the real

461
00:27:36,440 --> 00:27:38,399
Speaker 1: doctor explain all of that to you. Which brings us

462
00:27:38,440 --> 00:27:41,960
Speaker 1: to the question of well, why are there You have

463
00:27:42,000 --> 00:27:45,719
Speaker 1: the American Medical Association president saying to the President Trump yesterday,

464
00:27:45,760 --> 00:27:48,680
Speaker 1: what do you have to lose your life? Oh? Okay,

465
00:27:48,720 --> 00:27:51,360
Speaker 1: I can understand that I have issues with the AMA,

466
00:27:51,640 --> 00:27:55,800
Speaker 1: big Obama Care supporters and big anti gun people, and

467
00:27:55,960 --> 00:27:59,879
Speaker 1: clearly they have political agendas, and clearly they have an

468
00:28:00,000 --> 00:28:02,320
Speaker 1: agenda for those of medicine. So I you know, I

469
00:28:02,440 --> 00:28:05,800
Speaker 1: take it with a grain of salt. And there are

470
00:28:05,800 --> 00:28:08,679
Speaker 1: other medical groups out there that actually give guidelines, as

471
00:28:08,720 --> 00:28:11,680
Speaker 1: I mentioned earlier in the program, because I think that's important.

472
00:28:13,160 --> 00:28:17,960
Speaker 1: For example, the Thoracic Society they actually issued guidelines for

473
00:28:18,000 --> 00:28:22,640
Speaker 1: coronavirus's patients and doctors too. But you know, ultimately it's

474
00:28:22,680 --> 00:28:25,240
Speaker 1: going to be up to you. You know, you can't

475
00:28:25,280 --> 00:28:27,879
Speaker 1: count on the news media mob. They just hate Donald Trump.

476
00:28:28,400 --> 00:28:32,280
Speaker 1: Mika Prazynski. Trump promotes COVID cure so much, you must

477
00:28:32,280 --> 00:28:36,680
Speaker 1: have a financial tie to this. I'm like, okay, if

478
00:28:36,680 --> 00:28:39,640
Speaker 1: you want to politicize that too. That's so Fauci wasn't

479
00:28:39,640 --> 00:28:43,440
Speaker 1: allowed to talk about what he feels is important to

480
00:28:43,440 --> 00:28:47,000
Speaker 1: say about this drug that the President keeps pushing. A

481
00:28:47,040 --> 00:28:50,320
Speaker 1: lot of people would say, follow the money. There's got

482
00:28:50,320 --> 00:28:54,720
Speaker 1: to be some sort of financial tie to someone somewhere

483
00:28:55,360 --> 00:29:00,760
Speaker 1: that has the President pushing this repeatedly. I mean, well,

484
00:29:00,800 --> 00:29:03,400
Speaker 1: how do you even respond to that? One thing? I

485
00:29:03,440 --> 00:29:05,520
Speaker 1: will say. Now, the cuomo said, oh, yeah, no, we're

486
00:29:05,520 --> 00:29:09,520
Speaker 1: seeing hopeful signs because hydroxy chloroquin's all over his state

487
00:29:10,200 --> 00:29:13,240
Speaker 1: and now the President's given him the millions more doses

488
00:29:13,280 --> 00:29:15,160
Speaker 1: that he can put it back in the pharmacys. And

489
00:29:15,200 --> 00:29:17,600
Speaker 1: I wrote a big piece. It's on Hannity dot Com.

490
00:29:17,640 --> 00:29:21,600
Speaker 1: Now Governor Cuomo stopped denying New Yorkers, and I go

491
00:29:21,640 --> 00:29:24,600
Speaker 1: into in consultation with your doctor the right to go

492
00:29:24,640 --> 00:29:28,320
Speaker 1: to a drug store and pick up this medicine. You know,

493
00:29:28,400 --> 00:29:31,720
Speaker 1: his own Department of Labor can't even handle the crush

494
00:29:31,720 --> 00:29:35,040
Speaker 1: of unemployment, this failure. You know, I went into a

495
00:29:35,120 --> 00:29:37,640
Speaker 1: deep dive in this other article on Hannity dot com.

496
00:29:38,320 --> 00:29:42,080
Speaker 1: And it's called the Ventilator Allocation Guidelines, New York State

497
00:29:42,080 --> 00:29:45,320
Speaker 1: Task Force on Life in the Law, New York Department

498
00:29:45,320 --> 00:29:50,440
Speaker 1: of Health. And this is November twenty fifteen. It says

499
00:29:50,480 --> 00:29:53,640
Speaker 1: in this report during a severe page thirty, during a

500
00:29:53,720 --> 00:29:57,920
Speaker 1: severe influenza pandemic, there is likely to be a projected

501
00:29:57,960 --> 00:30:02,000
Speaker 1: shortfall of ventilators just a York fifteen, seven hundred eighty

502
00:30:02,040 --> 00:30:07,200
Speaker 1: three during peak week demand Saturday. Cuomo is on TV.

503
00:30:07,920 --> 00:30:11,080
Speaker 1: We ordered seventeen thousand. He ordered it like a few

504
00:30:11,080 --> 00:30:16,040
Speaker 1: weeks ago. He didn't listen to his own recommendation Healthcare

505
00:30:16,120 --> 00:30:20,040
Speaker 1: task Force. The Health Commissioner at the time, Doctor Howard Zucker,

506
00:30:20,120 --> 00:30:23,080
Speaker 1: writes this in the beginning, Dear New Yorkers, Protecting the

507
00:30:23,120 --> 00:30:25,720
Speaker 1: health and wellbeing of New Yorkers is a core objective

508
00:30:25,760 --> 00:30:28,640
Speaker 1: of the Department of Health during flu season. We are

509
00:30:28,680 --> 00:30:32,480
Speaker 1: reminded that a pandemic influenza. Listen to this is a

510
00:30:32,520 --> 00:30:38,080
Speaker 1: foreseeable threat, one we cannot ignore. In light of this possibility,

511
00:30:38,120 --> 00:30:41,200
Speaker 1: the Department is taking steps to prepare for a pandemic

512
00:30:41,480 --> 00:30:45,680
Speaker 1: to limit the loss of life, life, and other negative consequences.

513
00:30:45,760 --> 00:30:49,720
Speaker 1: Now listen to this. An influenza pandemic would affect all

514
00:30:49,760 --> 00:30:55,000
Speaker 1: New Yorkers. We have a responsibility to plan now. Part

515
00:30:55,040 --> 00:30:57,720
Speaker 1: of that planning is to develop guidelines on how to

516
00:30:57,760 --> 00:31:03,760
Speaker 1: ethically allocate resources, i e. Ventilators during a severe influenza pandemic.

517
00:31:04,200 --> 00:31:06,760
Speaker 1: This is when they came up with the twenty fifteen

518
00:31:06,920 --> 00:31:12,479
Speaker 1: ventilator allocation guidelines. Why to save lives? Did the governor

519
00:31:12,520 --> 00:31:15,560
Speaker 1: by any of the nearly sixteen thousand they said they

520
00:31:15,560 --> 00:31:18,880
Speaker 1: would be short during peak week like this? No, he

521
00:31:18,920 --> 00:31:23,479
Speaker 1: did not. Who built the hospitals? Trump? Who sent the ventilators? Trump?

522
00:31:23,680 --> 00:31:26,240
Speaker 1: Who sent the respirators and the gowns and the gloves?

523
00:31:26,320 --> 00:31:30,200
Speaker 1: Trump sent them? Who's building hospitals all over the state? Trump?

524
00:31:31,280 --> 00:31:34,880
Speaker 1: It's the single biggest epic fail by the biggest mouth

525
00:31:35,040 --> 00:31:38,120
Speaker 1: I've ever seen in my life. All talk, no action,

526
00:31:38,160 --> 00:31:41,280
Speaker 1: politician Andrew Cuomo. The only one that is worse than

527
00:31:41,360 --> 00:31:44,880
Speaker 1: him is the Blasio. They failed the people of New York.

528
00:31:44,880 --> 00:31:46,760
Speaker 1: But he talked so much people think, oh, he must

529
00:31:46,760 --> 00:31:50,880
Speaker 1: really care. Unbelievable. Trump built all the hospitals, Trump sent

530
00:31:50,920 --> 00:31:53,600
Speaker 1: all the ventilators, and Trump is sending all the hydroxy chloroquin.

531
00:31:54,400 --> 00:31:57,040
Speaker 1: Cuomo decided to waste seven hundred and fifty million on

532
00:31:57,120 --> 00:32:01,479
Speaker 1: one green project, ninety billion on another green project. I

533
00:32:01,480 --> 00:32:04,320
Speaker 1: mean it's under I mean the millions that this guy wasted,

534
00:32:04,400 --> 00:32:08,320
Speaker 1: hundreds of millions, right, glad you with us our two

535
00:32:08,520 --> 00:32:12,680
Speaker 1: Sean Hannity Show. The Prime Minister Great Britain, Boris Johnson,

536
00:32:12,800 --> 00:32:17,000
Speaker 1: now has been moved to the ICU unit twenty four

537
00:32:17,000 --> 00:32:20,120
Speaker 1: hours after being admitted to the hospital. Like everyone else,

538
00:32:20,480 --> 00:32:24,080
Speaker 1: thoughts and prayers are with him, and I know many

539
00:32:24,200 --> 00:32:26,560
Speaker 1: people have their prayers out for everybody and those that

540
00:32:26,600 --> 00:32:32,160
Speaker 1: are dealing with this, the big debate that has really well.

541
00:32:32,560 --> 00:32:36,520
Speaker 1: We have some news that is good news. The percentage

542
00:32:36,560 --> 00:32:39,720
Speaker 1: the predicted beds that would be needed as of yesterday

543
00:32:39,720 --> 00:32:43,040
Speaker 1: in the country were about one hundred and twenty one thousand,

544
00:32:43,760 --> 00:32:47,600
Speaker 1: and we only needed about thirty one thousand beds. The

545
00:32:48,160 --> 00:32:52,320
Speaker 1: predictions in terms of ICU similarly, twenty five percent of

546
00:32:52,360 --> 00:32:57,480
Speaker 1: that predicted. That is good news. The battle over hydroxy

547
00:32:57,520 --> 00:33:00,280
Speaker 1: chloroquin being used in the state of New York now

548
00:33:00,400 --> 00:33:04,120
Speaker 1: is being used everywhere, but the governor has issued an

549
00:33:04,120 --> 00:33:08,360
Speaker 1: executive order order that he suggested he'd be lifting as

550
00:33:08,400 --> 00:33:10,840
Speaker 1: soon as the federal government they have twenty nine million

551
00:33:10,920 --> 00:33:13,960
Speaker 1: doses of hydroxy chloroquine, they will be releasing more to

552
00:33:14,040 --> 00:33:16,200
Speaker 1: New York. He says he will put it into pharmacies,

553
00:33:16,680 --> 00:33:19,560
Speaker 1: which means that doctors that want to prescribe it for

554
00:33:19,680 --> 00:33:22,680
Speaker 1: patients that in fact they would have the option to

555
00:33:22,760 --> 00:33:26,160
Speaker 1: do so. We've been talking a lot about it, and

556
00:33:26,200 --> 00:33:29,480
Speaker 1: we up until say today, have been saying that, well,

557
00:33:29,680 --> 00:33:32,520
Speaker 1: we're watching anecdotally. Here are the people that have been

558
00:33:32,880 --> 00:33:38,280
Speaker 1: off labeled prescriptions of hydroxy chloroquine in many instances with

559
00:33:38,480 --> 00:33:42,840
Speaker 1: zethromyas in some instances zinc and vitamin C are showing

560
00:33:42,920 --> 00:33:46,680
Speaker 1: dramatic improvement. And we have talked at length about all

561
00:33:46,720 --> 00:33:50,800
Speaker 1: of these cases, and we've interviewed patients that speak highly

562
00:33:50,840 --> 00:33:53,760
Speaker 1: of it. Doctors. We've told you there was a survey

563
00:33:53,920 --> 00:33:57,720
Speaker 1: six thousand, two hundred twenty seven doctors worldwide and they

564
00:33:57,760 --> 00:34:01,520
Speaker 1: came out with a you know, by far hydroxy chloroquine

565
00:34:01,680 --> 00:34:05,960
Speaker 1: was there their treatment of choice. Now, if it does,

566
00:34:06,440 --> 00:34:10,239
Speaker 1: as we have been telling you anecdotally keep people out

567
00:34:10,239 --> 00:34:13,560
Speaker 1: of the hospital, that it makes sense. Are their dangers

568
00:34:13,640 --> 00:34:15,759
Speaker 1: or their side effects, well, everyone has to consult with

569
00:34:15,800 --> 00:34:18,479
Speaker 1: their doctor. But this drug has been around forty five years.

570
00:34:18,480 --> 00:34:21,600
Speaker 1: If you have underlying health issues, it's a problem. Arrhythmia,

571
00:34:21,680 --> 00:34:24,040
Speaker 1: it's a problem. You couldn't have a rash long term

572
00:34:24,120 --> 00:34:27,520
Speaker 1: high doses. You could have eyesight issues. But again you

573
00:34:27,520 --> 00:34:30,840
Speaker 1: have to make that decision with your doctors. Doctor Oz

574
00:34:31,280 --> 00:34:33,560
Speaker 1: has been on this show every day now for a

575
00:34:33,600 --> 00:34:37,880
Speaker 1: long time and he has some really good news. And Doctor,

576
00:34:37,960 --> 00:34:42,040
Speaker 1: as you're telling me, we are beyond saying it's anecdotal.

577
00:34:43,200 --> 00:34:45,920
Speaker 1: You know, this word anecdote is an interesting one. It's

578
00:34:45,920 --> 00:34:48,440
Speaker 1: sort of an insult actually within medicine because you're basically

579
00:34:48,440 --> 00:34:50,239
Speaker 1: saying the best you could do is just give just

580
00:34:50,400 --> 00:34:53,880
Speaker 1: your personal opinion having watched something. It turns out that

581
00:34:53,920 --> 00:34:56,160
Speaker 1: a lot of the advances came because people were observant,

582
00:34:56,480 --> 00:34:59,160
Speaker 1: and so I don't mind anecdotal reports, but you can't

583
00:34:59,280 --> 00:35:01,640
Speaker 1: crutch on that to make big decisions. But it's unfair

584
00:35:02,280 --> 00:35:06,200
Speaker 1: to say hydroxy lurquin is purely an anecdotal observation. You

585
00:35:06,320 --> 00:35:09,800
Speaker 1: have a large case series, and that's different from an anecdote.

586
00:35:09,840 --> 00:35:12,280
Speaker 1: The case series is we tracked a lot of people,

587
00:35:12,400 --> 00:35:14,799
Speaker 1: We had a protocol, we watched what happened to them,

588
00:35:15,080 --> 00:35:17,399
Speaker 1: and it's not one person or five or seven, it's

589
00:35:17,480 --> 00:35:19,320
Speaker 1: in this case. I just talked this morning to d

590
00:35:19,400 --> 00:35:24,279
Speaker 1: Day Royalty, very well known French infectious. I'm gonna slow

591
00:35:24,320 --> 00:35:28,120
Speaker 1: you down here. He did the first well it wasn't

592
00:35:28,200 --> 00:35:30,600
Speaker 1: quite a trial, but he gave the first test of

593
00:35:30,719 --> 00:35:33,960
Speaker 1: hydroxy chloroquin and you wrote about it. Going back now

594
00:35:34,000 --> 00:35:36,160
Speaker 1: a couple of weeks now he's done a bigger test,

595
00:35:36,800 --> 00:35:39,320
Speaker 1: but he was a combination of this Nilaria drug with

596
00:35:39,520 --> 00:35:41,960
Speaker 1: zpac as. It's remisn That's what he did uniquely, and

597
00:35:42,880 --> 00:35:44,600
Speaker 1: to my knowledge, the first person to do it, and

598
00:35:44,640 --> 00:35:47,040
Speaker 1: he got the idea from the Chinese. So he's very

599
00:35:47,280 --> 00:35:49,000
Speaker 1: humble about that. I'll come back to China in the

600
00:35:49,000 --> 00:35:51,640
Speaker 1: second because it's critical to the story. But he's been

601
00:35:51,680 --> 00:35:55,600
Speaker 1: every week honorably showing up and updating me. He's on

602
00:35:55,600 --> 00:35:57,480
Speaker 1: my show tomorrow. You can watch him firstand he's a

603
00:35:57,600 --> 00:36:01,719
Speaker 1: very innovative guy to He's discovered whole categories of viruses.

604
00:36:01,960 --> 00:36:04,080
Speaker 1: So this is Guy's not a latecomer. You know, he's

605
00:36:04,120 --> 00:36:07,680
Speaker 1: a professor and has the most number of citations to

606
00:36:07,719 --> 00:36:10,600
Speaker 1: his name in his field in the world, So it's

607
00:36:10,239 --> 00:36:14,480
Speaker 1: not like he's some small time player in his opinion,

608
00:36:14,560 --> 00:36:18,240
Speaker 1: an infectious disease unlike, for example, high blood pressure research,

609
00:36:18,320 --> 00:36:20,960
Speaker 1: where you have to do a randomized trial and study

610
00:36:21,040 --> 00:36:23,080
Speaker 1: both sides carefully because you don't know what difference the

611
00:36:23,080 --> 00:36:25,200
Speaker 1: blood pressure makes our heart disease that you know, it's

612
00:36:25,320 --> 00:36:27,799
Speaker 1: a bunch of indirect connections that may take years to

613
00:36:27,880 --> 00:36:30,040
Speaker 1: pan out. But he says, with an infection, if you

614
00:36:30,120 --> 00:36:32,440
Speaker 1: come in with us with a bacteria and I treat

615
00:36:32,440 --> 00:36:34,840
Speaker 1: it with an antibiotic and I kill the bacteria, that

616
00:36:35,000 --> 00:36:36,920
Speaker 1: is considered success. I don't have to look for a

617
00:36:36,920 --> 00:36:39,800
Speaker 1: lot of other things about it. So randomizing people to

618
00:36:39,920 --> 00:36:42,480
Speaker 1: not getting antibiotics so they die of the infection is

619
00:36:42,480 --> 00:36:44,400
Speaker 1: not what we do in my specialty. That's what he

620
00:36:44,440 --> 00:36:47,000
Speaker 1: tells me. So he told me today that he has

621
00:36:47,040 --> 00:36:49,840
Speaker 1: now he had eighty patients the last time we spoke.

622
00:36:50,120 --> 00:36:53,120
Speaker 1: He now has a thousand patients that he's followed carefully.

623
00:36:53,120 --> 00:36:54,960
Speaker 1: He has more than that that have come to the hospital.

624
00:36:55,040 --> 00:36:58,960
Speaker 1: But a thousand patients all COVID nineteen positive that he's

625
00:36:58,960 --> 00:37:03,200
Speaker 1: put on this combination drug therapy. He's had seven people die.

626
00:37:03,640 --> 00:37:05,960
Speaker 1: You would normally expect to have of the people who

627
00:37:05,960 --> 00:37:07,799
Speaker 1: go to the hospital. This is not everyone who gets

628
00:37:07,840 --> 00:37:09,759
Speaker 1: the illness. People actually came to the hospital with this,

629
00:37:10,120 --> 00:37:12,680
Speaker 1: you'd have a significantly I shouldn't say he's word significant.

630
00:37:12,719 --> 00:37:15,640
Speaker 1: That's a reserved for particular purpose, but a meaningfully better

631
00:37:15,680 --> 00:37:18,600
Speaker 1: result than you would normally expect. And then he got

632
00:37:19,040 --> 00:37:22,120
Speaker 1: twenty people that were in the ICU. Again, you would

633
00:37:22,120 --> 00:37:25,239
Speaker 1: have expected more from a thousand people normally. So he's

634
00:37:25,239 --> 00:37:27,719
Speaker 1: not trying to make gargantuan claims. He's just saying, in

635
00:37:27,760 --> 00:37:30,560
Speaker 1: my practice, this is working, and it's becoming the norm

636
00:37:30,640 --> 00:37:33,800
Speaker 1: in other countries. I asked him about the Chinese study

637
00:37:34,160 --> 00:37:38,000
Speaker 1: because that is a randomized trial. That's exactly what doctor

638
00:37:38,040 --> 00:37:42,279
Speaker 1: Fauci and all the other very thoughtful scientists are asking for.

639
00:37:42,920 --> 00:37:45,279
Speaker 1: Don't bias. It just put half the people on the pill,

640
00:37:45,360 --> 00:37:49,160
Speaker 1: half not, and that trial showed that there was clinically

641
00:37:49,200 --> 00:37:53,520
Speaker 1: significant and a significantly statistical benefit reducing COFF, reducing fever,

642
00:37:53,560 --> 00:37:56,720
Speaker 1: and reducing pneumonia, which is a bigger light. Now in fairness,

643
00:37:56,800 --> 00:37:59,120
Speaker 1: there was another trial where they threw the kitchen sink

644
00:37:59,160 --> 00:38:01,960
Speaker 1: at everybody and everyone did great. And I'm saying, well,

645
00:38:02,000 --> 00:38:04,160
Speaker 1: my goodness, if the Chinese are getting these kinds of results,

646
00:38:04,719 --> 00:38:07,160
Speaker 1: maybe we want to use i'd actually chloroquin and then

647
00:38:07,200 --> 00:38:09,160
Speaker 1: we want to if we can use the z thro mycen,

648
00:38:09,200 --> 00:38:10,960
Speaker 1: and then maybe they're using an anti viral, which they

649
00:38:11,000 --> 00:38:13,279
Speaker 1: do in Chinese part of their state protocol. They do

650
00:38:13,320 --> 00:38:15,800
Speaker 1: that and they seeming they get pretty good results. I

651
00:38:15,840 --> 00:38:18,319
Speaker 1: wish we could get those kinds of numbers. But people

652
00:38:18,400 --> 00:38:21,000
Speaker 1: keep saying it's an anecdotal study, there's a flimsy data.

653
00:38:21,000 --> 00:38:24,239
Speaker 1: I mean, please, this is more data. And I would

654
00:38:24,280 --> 00:38:27,960
Speaker 1: bet half of the public recommendations we give, like steezing

655
00:38:27,960 --> 00:38:29,840
Speaker 1: into your arm if you have a cold. Have you

656
00:38:29,920 --> 00:38:33,640
Speaker 1: ever told anym on that yeah, oh you stay? Yeah?

657
00:38:33,800 --> 00:38:36,040
Speaker 1: Is that a bad idea? No? I don't know. I

658
00:38:36,520 --> 00:38:40,280
Speaker 1: actually liked the idea, never proven, never proven to be true.

659
00:38:40,920 --> 00:38:43,680
Speaker 1: Here's my questions, you know, and I because one of

660
00:38:43,680 --> 00:38:46,759
Speaker 1: the main questions I would ask, I asked you and

661
00:38:47,080 --> 00:38:49,879
Speaker 1: I've read so much. I'll be honest, doctor Oz, I'm

662
00:38:49,880 --> 00:38:51,880
Speaker 1: not a doctor. I tell people I'm not a doctor.

663
00:38:51,920 --> 00:38:53,879
Speaker 1: I joke about not paying the doctor. So I tell

664
00:38:53,920 --> 00:38:56,360
Speaker 1: people to consult with the doctors. And I have so

665
00:38:56,440 --> 00:38:58,880
Speaker 1: much respect for you, and you're not the only doctor

666
00:38:58,880 --> 00:39:00,680
Speaker 1: of my life. And all my doctor your friends say

667
00:39:00,719 --> 00:39:02,839
Speaker 1: the same thing you're saying, and are looking at it

668
00:39:02,880 --> 00:39:05,640
Speaker 1: the same way. Now there seems to be a conflict

669
00:39:05,680 --> 00:39:09,480
Speaker 1: between sort of an old style, you know, way of

670
00:39:09,520 --> 00:39:12,799
Speaker 1: looking at everything. We must have the clinical trials, we

671
00:39:12,880 --> 00:39:15,840
Speaker 1: must have, you know, people that would be completely risk averse.

672
00:39:16,400 --> 00:39:20,480
Speaker 1: Here's my observation. Six thousand, two hundred twenty seven doctors worldwide,

673
00:39:21,080 --> 00:39:23,719
Speaker 1: that is their number one treatment option. It is now

674
00:39:23,760 --> 00:39:26,919
Speaker 1: seventy three percent of my numbers are right. Of those

675
00:39:26,960 --> 00:39:30,359
Speaker 1: treated in Spain, they're using it, in France, they are

676
00:39:30,480 --> 00:39:33,960
Speaker 1: using it. We know Turkey has confiscated at all for

677
00:39:34,000 --> 00:39:37,840
Speaker 1: the distribution to the population within Turkey. We know Israel

678
00:39:37,960 --> 00:39:41,040
Speaker 1: is using it, we know they're using it in Great

679
00:39:41,080 --> 00:39:44,080
Speaker 1: Britain and elsewhere, and all these other bits of information.

680
00:39:44,160 --> 00:39:47,200
Speaker 1: So here's my point is, now you have to ask

681
00:39:47,239 --> 00:39:50,720
Speaker 1: these questions, what are the risks? What are the risks

682
00:39:50,719 --> 00:39:57,160
Speaker 1: if somebody is it gets a positive COVID nineteen diagnosis,

683
00:39:57,800 --> 00:39:59,919
Speaker 1: I know what I would do after all that I've read,

684
00:40:00,080 --> 00:40:02,680
Speaker 1: But I'm not a doctor. And people in consultation with

685
00:40:02,719 --> 00:40:04,520
Speaker 1: their doctor, what are the risks do you think that

686
00:40:04,640 --> 00:40:07,160
Speaker 1: you see? Well, let me let me to tell you

687
00:40:07,239 --> 00:40:09,480
Speaker 1: what I do when I don't know something, Well, I

688
00:40:09,480 --> 00:40:11,959
Speaker 1: get a specialist. I can tell you that the vast

689
00:40:12,040 --> 00:40:15,400
Speaker 1: majority of doctors in America had probably never prescribed this drug,

690
00:40:15,480 --> 00:40:17,319
Speaker 1: or they certainly don't know much about it because we

691
00:40:17,320 --> 00:40:19,840
Speaker 1: don't use it in heart surgery as an example. However,

692
00:40:19,880 --> 00:40:22,240
Speaker 1: you know who uses it all the time, the rheumatologists

693
00:40:22,280 --> 00:40:24,720
Speaker 1: because they take care of the lupas patients. So today

694
00:40:25,040 --> 00:40:27,040
Speaker 1: I just filmed it. It's gonna be on the show tomorrow.

695
00:40:27,280 --> 00:40:29,400
Speaker 1: I tape with one of the heads of their society,

696
00:40:29,440 --> 00:40:31,920
Speaker 1: one of the most prestigious guys. His name is doctor Wallace,

697
00:40:32,480 --> 00:40:34,440
Speaker 1: and this gentleman is at the head. He's the head

698
00:40:34,480 --> 00:40:36,359
Speaker 1: of the program at Cedars Signe, which is a very

699
00:40:36,440 --> 00:40:40,520
Speaker 1: prestigious hospital in Los Angeles. He's Selena Gomez is doctor

700
00:40:40,560 --> 00:40:43,200
Speaker 1: by the way. You know he's and she's talked about

701
00:40:43,239 --> 00:40:45,840
Speaker 1: him because, you know, being important. So he's a big hitter.

702
00:40:46,080 --> 00:40:51,520
Speaker 1: And he said, the rheumatology community is stunned. Stunned that

703
00:40:51,600 --> 00:40:54,080
Speaker 1: there's such a big deal being made about this drug

704
00:40:54,160 --> 00:40:57,320
Speaker 1: being dangerous because they prescribe it for the three hundred

705
00:40:57,400 --> 00:41:00,960
Speaker 1: thousand LUPAS patients in the country, continuous, so on it

706
00:41:01,000 --> 00:41:03,839
Speaker 1: all the time. He says, in our protocols, we never

707
00:41:03,880 --> 00:41:06,960
Speaker 1: mentioned the heart. We don't check the EKG. No one

708
00:41:07,000 --> 00:41:10,000
Speaker 1: has any protocols for a short term use to check

709
00:41:10,080 --> 00:41:12,320
Speaker 1: for the eyes. He says. The incidence of eye damage

710
00:41:12,640 --> 00:41:14,680
Speaker 1: in room and the report of the incidents at five

711
00:41:14,760 --> 00:41:18,759
Speaker 1: years is zero. It's at ten years because you're using

712
00:41:18,800 --> 00:41:21,640
Speaker 1: it for chronic use. At ten years it's one percent.

713
00:41:21,719 --> 00:41:25,000
Speaker 1: But you can prevent that by identify by examining their eyes.

714
00:41:25,000 --> 00:41:27,719
Speaker 1: We're talking about a week to ten days. What are

715
00:41:27,760 --> 00:41:30,640
Speaker 1: we learning from lupa's patients and rheumati or the right

716
00:41:30,680 --> 00:41:34,080
Speaker 1: as patients that have prescribed this medicine and the rate

717
00:41:34,120 --> 00:41:39,360
Speaker 1: of infection for COVID nineteen uhha, great question, Hannity. And

718
00:41:39,560 --> 00:41:41,840
Speaker 1: by the way, I do my research, doctor, Yeah, you

719
00:41:41,880 --> 00:41:44,399
Speaker 1: should toast the show. I think you got a future. Yeah,

720
00:41:44,440 --> 00:41:46,800
Speaker 1: I think that, don't You don't believe in doctor, Hannity.

721
00:41:46,880 --> 00:41:49,680
Speaker 1: But the point is we you're doing a study. M

722
00:41:49,800 --> 00:41:52,399
Speaker 1: Yu who is doing a study I know. So here's

723
00:41:52,400 --> 00:41:55,880
Speaker 1: what we're trying to do to two prong First, we

724
00:41:55,920 --> 00:41:57,920
Speaker 1: want to know if we look at all the insurance

725
00:41:58,000 --> 00:42:01,879
Speaker 1: and hospital documents on patients over the last couple of months, right,

726
00:42:02,040 --> 00:42:05,840
Speaker 1: what number, what percentage of people who have lupus on

727
00:42:05,920 --> 00:42:08,600
Speaker 1: this hydroxy chloroquine which most of them are on, got

728
00:42:08,640 --> 00:42:11,799
Speaker 1: COVID nineteen. And then conversely, how many of the COVID

729
00:42:11,880 --> 00:42:14,399
Speaker 1: nineteen patients we know, because we've got hundreds of thousands now,

730
00:42:14,480 --> 00:42:17,080
Speaker 1: how many of them have lupus? Right, So we just

731
00:42:17,120 --> 00:42:19,319
Speaker 1: did a little punch bobcy of the country. Again, this

732
00:42:19,400 --> 00:42:21,759
Speaker 1: is the big topic tomorrow. I'll be talking about it

733
00:42:21,800 --> 00:42:23,560
Speaker 1: because I want I want people to understand I'm not

734
00:42:23,800 --> 00:42:26,439
Speaker 1: claiming that we know the answer, but with a one

735
00:42:26,520 --> 00:42:31,200
Speaker 1: percent population review, we haven't found anybody who has COVID

736
00:42:31,280 --> 00:42:35,360
Speaker 1: nineteen who has a diagnosis of lupas on hydroxy chloroquin.

737
00:42:35,480 --> 00:42:38,320
Speaker 1: And none of the hy chronic patients on hydroxy chloroquin

738
00:42:38,400 --> 00:42:42,560
Speaker 1: have contracted lupus. I mean I contracted nineteen. So none

739
00:42:42,600 --> 00:42:45,320
Speaker 1: of the flu people have lupus. None of the lupus

740
00:42:45,360 --> 00:42:48,960
Speaker 1: people have the flu. You know, the affection coronavirus. So

741
00:42:49,520 --> 00:42:51,640
Speaker 1: now we're started thinking, OK, what is the what's going

742
00:42:51,719 --> 00:42:53,880
Speaker 1: on here? Is there is that evidence? So we I

743
00:42:53,880 --> 00:42:57,600
Speaker 1: approached team of Verma, who's been fantastic. She's ahead of Medicare,

744
00:42:57,680 --> 00:43:02,400
Speaker 1: Medicaid Right to see it CMS, and she has agreed

745
00:43:02,640 --> 00:43:05,560
Speaker 1: to help and participate. They have forty million people in

746
00:43:05,600 --> 00:43:08,399
Speaker 1: that program. It's a lot of data. And then we're

747
00:43:08,440 --> 00:43:11,640
Speaker 1: also approaching all the Blues programs Blue Blue Cross programs

748
00:43:11,640 --> 00:43:13,880
Speaker 1: across the country, and some of them have already agreed,

749
00:43:14,040 --> 00:43:16,400
Speaker 1: and we're going to couple together tens of millions of

750
00:43:16,400 --> 00:43:19,279
Speaker 1: medical records and charts reviews, and we have a very

751
00:43:19,320 --> 00:43:22,360
Speaker 1: effective way of using big data, deep analytics to figure

752
00:43:22,400 --> 00:43:26,640
Speaker 1: out is this just an observation that this is a blip,

753
00:43:26,680 --> 00:43:29,320
Speaker 1: not really a big deal, or are we onto something

754
00:43:29,360 --> 00:43:32,960
Speaker 1: that's pretty significant now? I asked Dida in Paris. He

755
00:43:33,040 --> 00:43:35,160
Speaker 1: said the same thing. None of his patients have lupus

756
00:43:35,160 --> 00:43:38,800
Speaker 1: on hydroxychloroquin. I asked doctor Wallace in your practice personally,

757
00:43:38,880 --> 00:43:40,719
Speaker 1: how many patients you have? He said eight hundred. How

758
00:43:40,719 --> 00:43:43,359
Speaker 1: many have COVID nineteen? He said none. I said at

759
00:43:43,400 --> 00:43:46,680
Speaker 1: Cedar Sinai, how many rheumatologists forty big practice. There've been

760
00:43:46,719 --> 00:43:51,040
Speaker 1: a thousand admissions. One patient who wasn't taking the medication

761
00:43:51,120 --> 00:43:54,080
Speaker 1: in a regular fashion had COVID nineteen, not another one

762
00:43:54,120 --> 00:43:55,799
Speaker 1: in that whole group, and you think they'd be high risk.

763
00:43:56,200 --> 00:43:59,960
Speaker 1: So I'm not sure yet, but I'm tantalized by this.

764
00:44:00,000 --> 00:44:01,960
Speaker 1: And the reason I've been going with the show to

765
00:44:02,080 --> 00:44:05,040
Speaker 1: marks normally I wouldn't is I'm trying to attract people.

766
00:44:05,080 --> 00:44:07,240
Speaker 1: So it's an app If you're listening to the Hannity

767
00:44:07,280 --> 00:44:09,800
Speaker 1: Show now, if you know someone or if you personally

768
00:44:09,840 --> 00:44:13,480
Speaker 1: have lupus taking hydroxy chloroquine and you have COVID nineteen,

769
00:44:13,560 --> 00:44:16,600
Speaker 1: please let us know on doctors dot com as a

770
00:44:16,640 --> 00:44:18,360
Speaker 1: whole page. We want to call you. We want to

771
00:44:18,440 --> 00:44:20,920
Speaker 1: understand what happened. I'm looking for literally one person in

772
00:44:20,960 --> 00:44:23,000
Speaker 1: the country where this is true. I'm sure we'll find people,

773
00:44:23,440 --> 00:44:26,520
Speaker 1: but I want to identify if that's the case, what

774
00:44:26,640 --> 00:44:28,840
Speaker 1: happened with you, or in fact, we find nobody. What

775
00:44:28,920 --> 00:44:32,680
Speaker 1: you're seeing right now is that there's a good possibility

776
00:44:32,760 --> 00:44:37,239
Speaker 1: this is prophylactic applications. Am I wrong? We don't. I don't.

777
00:44:37,239 --> 00:44:39,279
Speaker 1: I don't want to say a good possibility. Nothing is

778
00:44:39,680 --> 00:44:42,640
Speaker 1: asting me from thinking that from them what I've seen,

779
00:44:42,760 --> 00:44:44,600
Speaker 1: you want to be distrated. So if you're if you

780
00:44:44,680 --> 00:44:48,839
Speaker 1: take hydroxy chloricquin for lupus rheumatoid arthritis, go to What's

781
00:44:49,040 --> 00:44:51,480
Speaker 1: doctors dot com or we'll link it to Hannity dot com.

782
00:44:51,480 --> 00:44:53,560
Speaker 1: Make it easy, but we'll we'll put it up and

783
00:44:53,640 --> 00:44:55,960
Speaker 1: if people should contact you. All right, here's the one

784
00:44:55,960 --> 00:44:58,480
Speaker 1: I want to ask for those that are attacking the president,

785
00:44:58,560 --> 00:45:01,880
Speaker 1: attacking me for putting people like you on and putting

786
00:45:01,880 --> 00:45:03,960
Speaker 1: other doctors on, and put many doctors on that are

787
00:45:04,000 --> 00:45:06,239
Speaker 1: saying the exact same thing. It's being widely used all

788
00:45:06,280 --> 00:45:10,439
Speaker 1: around the world. This is irresponsible. One Ohio lawmaker wants

789
00:45:10,480 --> 00:45:13,200
Speaker 1: to sue President Trump for saying, Hey, what have you

790
00:45:13,239 --> 00:45:16,720
Speaker 1: got to lose the American Medical Association, you're a life Okay,

791
00:45:16,880 --> 00:45:19,160
Speaker 1: give us the evidence of that, because I don't see it.

792
00:45:19,200 --> 00:45:21,919
Speaker 1: Do you see that the America Medical Associations? Right? I don't.

793
00:45:22,840 --> 00:45:24,440
Speaker 1: I'm not quite sure what was going on with that.

794
00:45:24,480 --> 00:45:27,359
Speaker 1: I saw it, and I'm just like Obamacare, let's put

795
00:45:27,400 --> 00:45:30,800
Speaker 1: it that way. But go ahead. Well, I'm asking people

796
00:45:30,800 --> 00:45:33,960
Speaker 1: who do this for a living, and they're scoffing at

797
00:45:34,000 --> 00:45:37,560
Speaker 1: the physician response to this, and they think it's actually

798
00:45:37,600 --> 00:45:42,719
Speaker 1: influenced by people writing stories about complications that aren't really legit.

799
00:45:42,760 --> 00:45:44,440
Speaker 1: There was an article that I just was exposed to

800
00:45:44,520 --> 00:45:47,200
Speaker 1: yesterday about how if you combine it with one of

801
00:45:47,239 --> 00:45:50,080
Speaker 1: the diabetes medications, is toxic. So that I asked, that's

802
00:45:50,080 --> 00:45:52,880
Speaker 1: possibly is we have a huge number of diabets for

803
00:45:52,920 --> 00:45:54,759
Speaker 1: this medication. They have no issues. And then I look

804
00:45:54,800 --> 00:45:57,280
Speaker 1: at the paper. It's a rat study. They gave literally

805
00:45:57,480 --> 00:46:00,520
Speaker 1: ten times more than you would ever give a human. Yeah,

806
00:46:01,280 --> 00:46:04,680
Speaker 1: it's a useless study. Right, Yeah, So let me ask

807
00:46:04,719 --> 00:46:08,719
Speaker 1: you this. Am I being irresponsible telling people? Hey, after all,

808
00:46:08,760 --> 00:46:11,799
Speaker 1: I've read if you in consultation whether your doctor want

809
00:46:11,800 --> 00:46:14,000
Speaker 1: to take it, that's kind of that's what I would do.

810
00:46:14,120 --> 00:46:15,759
Speaker 1: I'm not a doctor, That's what I tell people. Am

811
00:46:15,800 --> 00:46:18,759
Speaker 1: I being irresponsible? I think most doctors would agree with you.

812
00:46:18,800 --> 00:46:20,880
Speaker 1: We have evidence that the most doctors would, you know,

813
00:46:21,280 --> 00:46:24,399
Speaker 1: I mean that's the point. Well, anyway, so we're gonna

814
00:46:24,400 --> 00:46:26,560
Speaker 1: have the latest, Yeah, go ahead, I'm going to have

815
00:46:26,600 --> 00:46:28,719
Speaker 1: the latest on Hannity tonight. Go ahead. Well, thank you.

816
00:46:29,000 --> 00:46:32,960
Speaker 1: I don't want to have an anti intellectual movement that

817
00:46:34,040 --> 00:46:36,200
Speaker 1: it seems that would like what does a doctor do?

818
00:46:36,840 --> 00:46:40,440
Speaker 1: And since you're up and coming, doctor Hannity a doctor.

819
00:46:40,520 --> 00:46:44,279
Speaker 1: A doctor does two things. You ask questions humbly, because

820
00:46:44,280 --> 00:46:46,440
Speaker 1: you'll never learn at all. You ask questions, and you

821
00:46:46,520 --> 00:46:49,239
Speaker 1: search for solutions. So that's what we're doing, exactly what

822
00:46:49,280 --> 00:46:52,240
Speaker 1: we're trying to do. This is a cheap, inexpensive product.

823
00:46:52,239 --> 00:46:54,719
Speaker 1: It is the standard in other countries. I just don't

824
00:46:54,840 --> 00:46:57,239
Speaker 1: understand it. It is coming. And the risks, based on

825
00:46:57,400 --> 00:47:01,279
Speaker 1: all you've read and everybody that prescribes this is low.

826
00:47:01,400 --> 00:47:04,960
Speaker 1: That's what you just got done saying pribe. According to

827
00:47:05,000 --> 00:47:08,239
Speaker 1: the people who do it, it's extraordinarily low. All right,

828
00:47:08,280 --> 00:47:12,320
Speaker 1: doctor oswill see on Hannday tonight the numbers are much lower.

829
00:47:12,560 --> 00:47:16,520
Speaker 1: I see you beds needed hospital admissions. All right, glad

830
00:47:16,560 --> 00:47:18,359
Speaker 1: you with us twenty five to the top of the hour,

831
00:47:18,440 --> 00:47:22,000
Speaker 1: Sean Davis, Sheryl Atkinson in just a moment. Rasmussen now

832
00:47:22,200 --> 00:47:27,680
Speaker 1: has thousand, one thousand likely voters Democrats forty six percent

833
00:47:27,760 --> 00:47:31,440
Speaker 1: likely Democrats still believe Biden would make the better presidential

834
00:47:31,480 --> 00:47:35,880
Speaker 1: candidate for their party. Forty five percent opt for Andrew

835
00:47:35,960 --> 00:47:39,920
Speaker 1: Cuomo told you this was coming. I mean to talk

836
00:47:39,960 --> 00:47:42,680
Speaker 1: to chitter chat has been all over the place. You

837
00:47:42,719 --> 00:47:46,120
Speaker 1: know something needs to be said here because but for

838
00:47:46,440 --> 00:47:50,280
Speaker 1: never listen this this is in Seaun Davis's tweeting, tweeting

839
00:47:50,280 --> 00:47:53,680
Speaker 1: out a lot of really amazing information. It was predicted

840
00:47:53,760 --> 00:47:57,759
Speaker 1: yesterday one hundred and twenty one thousand Americans would be hospitalized,

841
00:47:58,600 --> 00:48:02,279
Speaker 1: and that the number turned out to be thirty one,

842
00:48:02,120 --> 00:48:06,200
Speaker 1: one hundred forty two, thankfully God you know, much less.

843
00:48:06,200 --> 00:48:08,560
Speaker 1: Same with ICU beds needed. We'll get to that with

844
00:48:08,640 --> 00:48:11,920
Speaker 1: him in a minute. But you know, I watch Cuomo

845
00:48:12,440 --> 00:48:16,400
Speaker 1: very all talk, no action politician, and I watch everybody.

846
00:48:16,440 --> 00:48:18,799
Speaker 1: Oh he's amazing. He talks and everything he can talk.

847
00:48:19,719 --> 00:48:23,640
Speaker 1: And if it weren't for Donald Trump, New York would

848
00:48:23,640 --> 00:48:28,840
Speaker 1: not survive all this because he did nothing to prepare

849
00:48:28,920 --> 00:48:31,640
Speaker 1: the state that is that would be most vulnerable for

850
00:48:31,680 --> 00:48:37,480
Speaker 1: any influenza pandemic. He did absolutely nothing. I mean what

851
00:48:37,560 --> 00:48:39,799
Speaker 1: New York has given Now he did say today, yeah,

852
00:48:39,800 --> 00:48:42,400
Speaker 1: oh well, now that we're getting all the new hydro

853
00:48:42,480 --> 00:48:45,840
Speaker 1: chloroquin from the Feds, we're gonna we're gonna allow pharmacies.

854
00:48:45,880 --> 00:48:49,440
Speaker 1: Probably I'll lift the executive order. If you look at

855
00:48:49,480 --> 00:48:53,520
Speaker 1: all that has been given to New York by Donald Trump,

856
00:48:54,120 --> 00:48:57,880
Speaker 1: it is Donald Trump's hospitals that are taking on the

857
00:48:57,960 --> 00:49:00,839
Speaker 1: brunt of COVID nineteen for the whole state of New York.

858
00:49:01,480 --> 00:49:03,640
Speaker 1: I mean, not only did Donald Trump build the biggest

859
00:49:03,680 --> 00:49:07,360
Speaker 1: hospital in the entire country, three thousand beds at the

860
00:49:07,440 --> 00:49:10,360
Speaker 1: Javit Center. Now they're turning it into a COVID nineteen center,

861
00:49:10,640 --> 00:49:13,360
Speaker 1: which was not the original plan. On top of the

862
00:49:13,440 --> 00:49:18,120
Speaker 1: thousand beds and twelve operating rooms inside of the UNNS

863
00:49:18,120 --> 00:49:21,960
Speaker 1: comfort that's Donald Trump sent again, and the other three

864
00:49:22,080 --> 00:49:24,640
Speaker 1: or four hospitals now that are being built all over

865
00:49:25,040 --> 00:49:28,120
Speaker 1: New York State. When you look at all the ventilators

866
00:49:28,120 --> 00:49:30,640
Speaker 1: that New York has over five million of them sent

867
00:49:30,719 --> 00:49:33,799
Speaker 1: by I'm sorry, over five thousand of them sent by

868
00:49:33,920 --> 00:49:37,000
Speaker 1: Donald Trump. If you look at the n ninety five

869
00:49:37,080 --> 00:49:40,560
Speaker 1: respirators over four or five million now sent by Donald Trump.

870
00:49:41,160 --> 00:49:44,320
Speaker 1: The nearly two million surgical masks sent by Donald Trump,

871
00:49:44,800 --> 00:49:48,000
Speaker 1: the nearly five hundred thousand face mask Donald Trump, the

872
00:49:48,080 --> 00:49:51,960
Speaker 1: nearly two million sets of gloves Donald Trump. You know

873
00:49:52,000 --> 00:49:54,080
Speaker 1: you add all of this together. Now they're adding another

874
00:49:54,120 --> 00:49:57,399
Speaker 1: eight point one million and ninety five masks. Not only that,

875
00:49:57,600 --> 00:50:00,480
Speaker 1: the Javits Center is going to be run come completely

876
00:50:01,280 --> 00:50:04,400
Speaker 1: by the federal government and the military to take care

877
00:50:04,480 --> 00:50:07,280
Speaker 1: of those patients. They don't need any doctors, any support

878
00:50:07,320 --> 00:50:10,279
Speaker 1: staff at all because he wasn't prepared. And you know,

879
00:50:10,320 --> 00:50:14,000
Speaker 1: this is the amazing story. You know. I look at

880
00:50:14,040 --> 00:50:16,839
Speaker 1: this document I have in front of it me from

881
00:50:17,000 --> 00:50:21,920
Speaker 1: November twenty fifteen, ventil Later Allocation Guidelines, New York State

882
00:50:21,960 --> 00:50:26,760
Speaker 1: Department Task Force on Health Life Law, New York Department

883
00:50:26,760 --> 00:50:30,520
Speaker 1: of Health, Page thirty online. It's like two hundred and

884
00:50:30,560 --> 00:50:33,760
Speaker 1: seventy two or two hundred and seventy seven PDF pages,

885
00:50:34,600 --> 00:50:37,719
Speaker 1: and it literally says page thirty it says, during a

886
00:50:37,800 --> 00:50:41,799
Speaker 1: severe influenza pandemic, there is likely to be a projected

887
00:50:41,840 --> 00:50:46,560
Speaker 1: shortfall of ventilators minus fifteen thousand, seven hundred eighty three.

888
00:50:46,840 --> 00:50:49,080
Speaker 1: I turn on TV over the weekend and there is

889
00:50:49,120 --> 00:50:55,440
Speaker 1: all talk, no action. Cuomo. Remember we ordered seventeen thousand ventilators. Well, yeah,

890
00:50:55,480 --> 00:50:59,920
Speaker 1: in the last three weeks. But he was warned specifically

891
00:51:00,880 --> 00:51:03,800
Speaker 1: in November twenty fifteen at the beginning of this document,

892
00:51:04,800 --> 00:51:08,759
Speaker 1: the New York State Health Commissioner, doctor Howard Zucker, who's

893
00:51:09,160 --> 00:51:12,200
Speaker 1: in hiding somewhere, he goes on TV. I guess he

894
00:51:12,239 --> 00:51:15,960
Speaker 1: could expect state troopers to arrest him. Dear New Yorkers.

895
00:51:16,480 --> 00:51:19,359
Speaker 1: Protecting the health and well being of New York New

896
00:51:19,440 --> 00:51:22,080
Speaker 1: Yorkers is a core objective of the Department of Health.

897
00:51:22,600 --> 00:51:27,400
Speaker 1: During flu season, we are reminded that pandemic influenza is

898
00:51:27,840 --> 00:51:34,520
Speaker 1: a foreseeable threat, one that we cannot ignore. In light

899
00:51:34,600 --> 00:51:38,120
Speaker 1: of this possibility, the Department is taking steps to prepare

900
00:51:38,280 --> 00:51:41,760
Speaker 1: for a pandemic and to limit the loss of life

901
00:51:41,760 --> 00:51:46,799
Speaker 1: and other negative consequences. Listen to this. An influenza pandemic

902
00:51:46,840 --> 00:51:50,719
Speaker 1: would affect all New Yorkers. We have a responsibility to

903
00:51:50,800 --> 00:51:54,000
Speaker 1: plan now. Part of the planning process is to develop

904
00:51:54,120 --> 00:51:59,080
Speaker 1: guidelines guidelines on how to ethically allocate limited resources ie

905
00:51:59,239 --> 00:52:04,000
Speaker 1: ventilators during a severe influenza pandemic while saving the most lives.

906
00:52:04,400 --> 00:52:08,480
Speaker 1: As part of our emergency preparedness efforts, the Department, together

907
00:52:08,719 --> 00:52:10,719
Speaker 1: with the New York State Task Force on Life in

908
00:52:10,719 --> 00:52:14,839
Speaker 1: the Law, is releasing the twenty fifteen Ventilator Allocation Guidelines,

909
00:52:15,160 --> 00:52:19,520
Speaker 1: which provided ethical clinical legal framework to assist healthcare providers

910
00:52:19,760 --> 00:52:22,000
Speaker 1: and the general public in the event of a severe

911
00:52:22,040 --> 00:52:28,800
Speaker 1: influenza pandemic. Okay, you're going to be short fifteen thousand,

912
00:52:28,880 --> 00:52:31,400
Speaker 1: seven hundred eighty three ventilators. What did CUOMO do. He

913
00:52:31,440 --> 00:52:33,120
Speaker 1: goes back to the test force. Well, how can we

914
00:52:33,960 --> 00:52:38,439
Speaker 1: ration the two thousand we have? That was his answer. Now,

915
00:52:38,440 --> 00:52:40,920
Speaker 1: he did find seven hundred and fifty million dollars to

916
00:52:40,960 --> 00:52:44,839
Speaker 1: spend on a failed solar panel factory in New York.

917
00:52:44,840 --> 00:52:48,360
Speaker 1: It fails, seven hundred fifty million dollar flop, a ninety

918
00:52:48,360 --> 00:52:51,319
Speaker 1: million dollar flop on a partnership with a California light

919
00:52:51,320 --> 00:52:55,160
Speaker 1: bulb company that went nowhere. He also flopped on a

920
00:52:55,160 --> 00:52:58,359
Speaker 1: six hundred million dollar computer chip factory. This is how

921
00:52:58,360 --> 00:53:01,480
Speaker 1: he spends New Yorker's money, and any you know. This

922
00:53:01,520 --> 00:53:05,240
Speaker 1: week in his budget he's saying a permanent ban on fracking. Great.

923
00:53:05,440 --> 00:53:10,080
Speaker 1: Can't make money in New York. Period. Every single thing

924
00:53:10,680 --> 00:53:13,000
Speaker 1: that has happened that has made this manageable in New

925
00:53:13,080 --> 00:53:16,600
Speaker 1: York is because of Donald Trump and the federal government.

926
00:53:16,640 --> 00:53:20,040
Speaker 1: Even the hydroxy chlora quinn he had to get from

927
00:53:20,040 --> 00:53:23,439
Speaker 1: Donald Trump, I mean, and the country's saying, oh, he'd

928
00:53:23,440 --> 00:53:26,399
Speaker 1: be a great president. Okay, if you believe in all talk,

929
00:53:26,480 --> 00:53:29,839
Speaker 1: no action. It's sort of like Joe Biden on Friday saying,

930
00:53:29,920 --> 00:53:32,160
Speaker 1: you know, I think I support the China travel ban, now,

931
00:53:32,200 --> 00:53:37,120
Speaker 1: the one he called xenophobic and hysterical and fearmongering anyway.

932
00:53:37,160 --> 00:53:39,440
Speaker 1: Sean Davis joins us. He is the co founder of

933
00:53:39,440 --> 00:53:43,680
Speaker 1: the Federalists. Cheryl Atkinson, an investigative reporter, is with us.

934
00:53:44,560 --> 00:53:47,359
Speaker 1: Thank you both for being here. Cheryl has a great

935
00:53:47,360 --> 00:53:49,839
Speaker 1: piece out. We'll get to it a second. Sean, I

936
00:53:49,880 --> 00:53:52,600
Speaker 1: was following your Twitter all weekend and I was stunned,

937
00:53:52,600 --> 00:53:54,400
Speaker 1: and then I found where you got your information, and

938
00:53:54,440 --> 00:53:58,680
Speaker 1: I'm stealing it now. But it's from the government. They

939
00:53:58,719 --> 00:54:01,080
Speaker 1: predicted as of yesterday on undred and twenty one thousand

940
00:54:01,080 --> 00:54:04,680
Speaker 1: Americans would be hospitalized. The actual number was thirty one,

941
00:54:05,080 --> 00:54:08,080
Speaker 1: one hundred and forty two, and every state had high

942
00:54:08,160 --> 00:54:12,919
Speaker 1: projections and that's not materializing. Where are we today, right, So,

943
00:54:13,000 --> 00:54:15,000
Speaker 1: these models at the White House and a lot of

944
00:54:15,000 --> 00:54:18,120
Speaker 1: others have been relying on come out of IMH, out

945
00:54:18,120 --> 00:54:21,200
Speaker 1: of Washington, and what we have found by downloading their

946
00:54:21,280 --> 00:54:24,319
Speaker 1: data sets and looking at their models and comparing them

947
00:54:24,360 --> 00:54:28,719
Speaker 1: to reality, is that their models have been systematically wildly

948
00:54:28,840 --> 00:54:33,440
Speaker 1: overestimating the hospitalization needs and recalled that we were all

949
00:54:33,520 --> 00:54:36,080
Speaker 1: kind of put into lockdown, quarantined all that to flatten

950
00:54:36,120 --> 00:54:39,080
Speaker 1: the curve. It wasn't so much to prevent deaths, it

951
00:54:39,160 --> 00:54:41,719
Speaker 1: was to prevent the hospitals from being overrun. And what

952
00:54:41,800 --> 00:54:44,360
Speaker 1: we're learning that even today, based on the new models

953
00:54:44,400 --> 00:54:49,280
Speaker 1: that were released yesterday by IMH, they are still overestimating

954
00:54:49,440 --> 00:54:54,680
Speaker 1: hospitalizations by factors of two, five and even ten. So

955
00:54:54,760 --> 00:54:57,000
Speaker 1: what we're seeing now is a lot of decision making

956
00:54:57,120 --> 00:55:00,879
Speaker 1: based on garbage data. And it's really con explain again

957
00:55:01,000 --> 00:55:06,560
Speaker 1: what the IMG is. It's a it's a research institution

958
00:55:06,600 --> 00:55:08,560
Speaker 1: out of the state of Washington. I think Bill Gates

959
00:55:08,560 --> 00:55:12,279
Speaker 1: funds a bunch of its, some good epidemiologists there. I

960
00:55:12,280 --> 00:55:14,520
Speaker 1: don't doubt their credentials or their knowledge, but I do

961
00:55:14,520 --> 00:55:17,160
Speaker 1: doubt their model. And they're the ones the White House

962
00:55:17,640 --> 00:55:19,520
Speaker 1: last week went out and how did their model? They

963
00:55:19,520 --> 00:55:21,239
Speaker 1: put the graph up there, they said, this is what's

964
00:55:21,239 --> 00:55:23,600
Speaker 1: going to happen if we don't do anything. We've done

965
00:55:23,640 --> 00:55:28,000
Speaker 1: everything they said and assumed, and they're still overestimating hostilization

966
00:55:28,040 --> 00:55:30,880
Speaker 1: and ICU and ventilators buy as much as ten times

967
00:55:30,960 --> 00:55:34,880
Speaker 1: what reality has shown up. Amazing. That's good news for

968
00:55:34,920 --> 00:55:37,759
Speaker 1: the country, good news for New York. We've had a

969
00:55:37,840 --> 00:55:42,719
Speaker 1: leveling out. Even Cuomo in his press conference today confirmed that,

970
00:55:42,920 --> 00:55:44,799
Speaker 1: you know, up a three straight days in a row,

971
00:55:45,200 --> 00:55:48,239
Speaker 1: you know, hopefully this will continue. They've not needed as

972
00:55:48,239 --> 00:55:53,680
Speaker 1: many beds, hospital beds or ICU units. They're not running

973
00:55:53,680 --> 00:55:57,200
Speaker 1: short of any equipment whatsoever, according to Cuomo. And yeah,

974
00:55:57,239 --> 00:56:01,160
Speaker 1: there's promise in hydroxy chloroquin A little late, Andrew, as usual,

975
00:56:01,840 --> 00:56:03,960
Speaker 1: Cheryl Atkinson with us. She wrote a great piece how

976
00:56:04,000 --> 00:56:07,520
Speaker 1: the news media and liberals are attacking conservatives for early

977
00:56:07,840 --> 00:56:12,040
Speaker 1: pandemic comments that they themselves made. And you know, I've

978
00:56:12,040 --> 00:56:14,520
Speaker 1: been too busy to really pay attention all the criticism,

979
00:56:14,560 --> 00:56:18,120
Speaker 1: but I hear it on the periphery, and it's funny.

980
00:56:18,520 --> 00:56:21,240
Speaker 1: All I did was echo like Anthony Fauci and people

981
00:56:21,280 --> 00:56:24,719
Speaker 1: like that who I interviewed in January twenty seventh or eighth.

982
00:56:24,719 --> 00:56:28,279
Speaker 1: How are you, Cheryl. That's good. I'm doing great, Thank you.

983
00:56:28,320 --> 00:56:32,000
Speaker 1: And they're still missing the point. Someone flagged a Washington

984
00:56:32,040 --> 00:56:36,440
Speaker 1: Post article kind of trying to backtrack on these comparisons

985
00:56:36,480 --> 00:56:40,480
Speaker 1: that really are inaccurate to make on one side but

986
00:56:40,560 --> 00:56:43,440
Speaker 1: not the other as to what was being said. And

987
00:56:43,520 --> 00:56:47,000
Speaker 1: Aaron I think his name is Blake is basically saying

988
00:56:47,000 --> 00:56:50,040
Speaker 1: it's the Post that well, the comments that the Fox

989
00:56:50,120 --> 00:56:53,880
Speaker 1: News personalities made were earlier than some of the comments

990
00:56:53,880 --> 00:56:56,960
Speaker 1: that these public health officials made and other media made

991
00:56:57,000 --> 00:57:00,120
Speaker 1: that were similar. Therefore, it's bad when Fox said it,

992
00:57:00,200 --> 00:57:03,319
Speaker 1: but perfectly understandable when the others did. And he's still

993
00:57:03,320 --> 00:57:06,000
Speaker 1: missing the point, which is a lot of the remarks

994
00:57:06,000 --> 00:57:10,160
Speaker 1: are accurate, even as of today, as to who gets

995
00:57:10,160 --> 00:57:14,359
Speaker 1: the virus, who is most likely at risk, and so on. Well,

996
00:57:14,400 --> 00:57:16,400
Speaker 1: I mean that's the point and what you're saying, and

997
00:57:16,680 --> 00:57:18,920
Speaker 1: you did it in a very creative way. You know,

998
00:57:18,920 --> 00:57:21,520
Speaker 1: Sean Hannity gets criticized for this. Well, this is what

999
00:57:21,560 --> 00:57:25,320
Speaker 1: the New York Times said, this is what Andrew Cuomo said,

1000
00:57:25,320 --> 00:57:29,720
Speaker 1: this is what the CDC said, or Rush or you know,

1001
00:57:29,760 --> 00:57:33,880
Speaker 1: any other Fox News personality. I stand by my timeline

1002
00:57:33,920 --> 00:57:35,920
Speaker 1: that I put up on Hannity dot com because we

1003
00:57:36,160 --> 00:57:39,200
Speaker 1: were warning people from day one this is dangerous. This

1004
00:57:39,280 --> 00:57:43,400
Speaker 1: doesn't look good asymptomatic people walking around for days, you know,

1005
00:57:43,480 --> 00:57:46,560
Speaker 1: or infecting other people, and we got to pay attention

1006
00:57:46,560 --> 00:57:49,680
Speaker 1: to this. That was my warning. Well, and Jeremy Peters

1007
00:57:49,680 --> 00:57:51,760
Speaker 1: of The New York Times has already had to correct

1008
00:57:52,240 --> 00:57:54,760
Speaker 1: and fix a lot of the false statements in his article,

1009
00:57:54,800 --> 00:57:59,040
Speaker 1: calling me and others of coronavirus doubters, full of fabrications

1010
00:57:59,080 --> 00:58:02,480
Speaker 1: and misquotes and go on, but also failed to note

1011
00:58:02,520 --> 00:58:05,400
Speaker 1: that the same time he's pulling quotes, the New York

1012
00:58:05,400 --> 00:58:08,080
Speaker 1: Times was reporting the exact same thing. And I'm not

1013
00:58:08,160 --> 00:58:11,200
Speaker 1: saying the New York Times was equally as wrong when

1014
00:58:11,240 --> 00:58:14,000
Speaker 1: it reported these things. I'm saying it was equally as accurate.

1015
00:58:14,080 --> 00:58:17,000
Speaker 1: These things are true, and we're in this weird dynamic

1016
00:58:17,480 --> 00:58:21,440
Speaker 1: where a propaganda campaign is underweight and if anybody speaks

1017
00:58:21,520 --> 00:58:24,680
Speaker 1: the truth or gives facts about coronavirus that are not,

1018
00:58:26,080 --> 00:58:29,720
Speaker 1: I guess as panic stricken as they want us to feel,

1019
00:58:29,800 --> 00:58:32,600
Speaker 1: even when we say at the same time how serious

1020
00:58:32,600 --> 00:58:34,040
Speaker 1: this is and how dangerous it is, and we do.

1021
00:58:34,240 --> 00:58:36,400
Speaker 1: They also were the ones saying, what do you mean

1022
00:58:36,520 --> 00:58:39,680
Speaker 1: you can't travel to China? They were actually reckon travel band,

1023
00:58:39,920 --> 00:58:42,640
Speaker 1: you know, is ridiculous. And they're the ones that said

1024
00:58:42,680 --> 00:58:44,880
Speaker 1: the Trump virus. If you're feeling awful, you know who

1025
00:58:44,880 --> 00:58:47,680
Speaker 1: to blame, Sean, you wanted to say, well, I mean,

1026
00:58:48,080 --> 00:58:50,840
Speaker 1: Cheryl is so right. It has been such a surreal

1027
00:58:51,000 --> 00:58:53,320
Speaker 1: through the looking glass moment to watch the media through

1028
00:58:53,360 --> 00:58:55,640
Speaker 1: this moment. You know, I personally, very early on in

1029
00:58:55,640 --> 00:58:58,560
Speaker 1: February said this thing looks bad, looks like it's come

1030
00:58:58,640 --> 00:59:02,120
Speaker 1: from China. It's probably spreads asymptomatically. I think we need

1031
00:59:02,120 --> 00:59:04,840
Speaker 1: to have people stalking up and getting masks. And you

1032
00:59:04,880 --> 00:59:07,120
Speaker 1: had the media hoards go, oh, no, you idiot, you

1033
00:59:07,160 --> 00:59:09,040
Speaker 1: don't need to wear a mask. That's stupid. Oh you

1034
00:59:09,080 --> 00:59:11,400
Speaker 1: don't need to stock up, You're stupid. And what we're

1035
00:59:11,400 --> 00:59:13,480
Speaker 1: finding is that a lot of people who sounded the

1036
00:59:13,520 --> 00:59:16,840
Speaker 1: alarm early, whether it was travel controls or borders, or

1037
00:59:16,920 --> 00:59:20,440
Speaker 1: masks or hydroxy chloroquin, they were right. But if you

1038
00:59:20,520 --> 00:59:22,920
Speaker 1: don't say the thing that the media wants you to

1039
00:59:22,960 --> 00:59:25,120
Speaker 1: say when they want you to say it, they will

1040
00:59:25,120 --> 00:59:28,360
Speaker 1: eviserate you regardless. They don't care about the facts. They

1041
00:59:28,400 --> 00:59:32,360
Speaker 1: care about the narrative. I just had doctor Ozon at

1042
00:59:32,480 --> 00:59:38,000
Speaker 1: length citing now two French studies citing all the use

1043
00:59:38,040 --> 00:59:41,760
Speaker 1: of hydroxy chloroquin around the country, having talked to the

1044
00:59:41,800 --> 00:59:45,480
Speaker 1: specialists in the field of rheumatoid arthritis and lupus and

1045
00:59:45,520 --> 00:59:48,920
Speaker 1: the use of hydrochloroquin, and how low to non existent

1046
00:59:49,040 --> 00:59:52,240
Speaker 1: the risks are according to his experts, these doctors that

1047
00:59:52,360 --> 00:59:54,680
Speaker 1: prescribe it, and no matter what they want, you know,

1048
00:59:54,760 --> 00:59:57,720
Speaker 1: we have this one Ohio representative wants to sue Donald Trump,

1049
00:59:58,520 --> 01:00:02,160
Speaker 1: I get attack for looking at it what everybody around

1050
01:00:02,160 --> 01:00:06,760
Speaker 1: the world is prescribing daily and what you know is

1051
01:00:06,800 --> 01:00:10,600
Speaker 1: being used in this country now effectively according to doctors

1052
01:00:10,600 --> 01:00:14,320
Speaker 1: and patients all around the country. Cheryl, Well, and here's

1053
01:00:14,360 --> 01:00:18,040
Speaker 1: what should maybe really give people pause. I've spoken to

1054
01:00:18,440 --> 01:00:22,560
Speaker 1: three scientists in the last few days, including some who

1055
01:00:22,560 --> 01:00:26,040
Speaker 1: are working for the government on coronavirus and someone who's

1056
01:00:26,080 --> 01:00:29,320
Speaker 1: working on coronavirus but not to the government, and they're

1057
01:00:29,440 --> 01:00:32,400
Speaker 1: providing information at odds with what is widely being understood

1058
01:00:32,440 --> 01:00:36,320
Speaker 1: in the toplic about certain facts. They're very concerned about coronavirus.

1059
01:00:36,320 --> 01:00:39,040
Speaker 1: There's certainly not doubters by any stretch of the imagination,

1060
01:00:39,440 --> 01:00:42,680
Speaker 1: but there is information that's not given improper context and

1061
01:00:42,720 --> 01:00:45,440
Speaker 1: so on. But they told me they don't speak of

1062
01:00:45,440 --> 01:00:48,480
Speaker 1: it publicly outside their offices because they are afraid of

1063
01:00:48,520 --> 01:00:53,920
Speaker 1: being labeled number one coronavirus doubters or being perceived as

1064
01:00:54,200 --> 01:00:57,160
Speaker 1: being in conflict with doctor Faucci, which nobody wants to do.

1065
01:00:57,680 --> 01:01:01,040
Speaker 1: And I said, boy, what a time. Scientists and journalists

1066
01:01:01,040 --> 01:01:04,600
Speaker 1: are afraid to simply report factual information that's true and

1067
01:01:04,640 --> 01:01:08,160
Speaker 1: accurate and not downplaying anything like for example, that's what

1068
01:01:08,240 --> 01:01:12,040
Speaker 1: you're doing and there was absolute truth. No, I have

1069
01:01:12,080 --> 01:01:16,240
Speaker 1: a timeline that completely irrefutes this notion that I called

1070
01:01:16,240 --> 01:01:19,640
Speaker 1: this thing a hoax, and h we better pay attention.

1071
01:01:19,840 --> 01:01:23,800
Speaker 1: January twenty seventh, January twenty eighth, Fauci on radio, Fouci

1072
01:01:23,880 --> 01:01:27,080
Speaker 1: on television. The videos up there, You know me talking

1073
01:01:27,120 --> 01:01:30,240
Speaker 1: early on about how asymptomatic people are spreading it. It

1074
01:01:30,280 --> 01:01:33,240
Speaker 1: doesn't matter. And yes there are people that were then

1075
01:01:33,400 --> 01:01:37,440
Speaker 1: Sean Davis and are now politicizing this to bludgeon Trump

1076
01:01:38,360 --> 01:01:42,320
Speaker 1: for their political benefit. Is that now questioning hydroxy chloric winn?

1077
01:01:42,360 --> 01:01:45,520
Speaker 1: And as doctor Oz said, no, this is not even

1078
01:01:45,560 --> 01:01:50,960
Speaker 1: anecdotal anymore. It is a series of studies. We'll recall

1079
01:01:51,040 --> 01:01:54,160
Speaker 1: that you had a woman who allegedly, I guess, fed

1080
01:01:54,240 --> 01:01:58,320
Speaker 1: her husband FIFTENK cleaner and blamed it on Donald Trump.

1081
01:01:58,560 --> 01:02:01,080
Speaker 1: And then you had a media go in there and say, oh,

1082
01:02:01,400 --> 01:02:03,960
Speaker 1: they drank this fifteen cleaner and he died because they

1083
01:02:04,000 --> 01:02:07,200
Speaker 1: had a similar substance. Is what Donald Trump talks about.

1084
01:02:07,240 --> 01:02:10,760
Speaker 1: Donald Trump killed this man. We have a collection and

1085
01:02:10,800 --> 01:02:13,120
Speaker 1: a class of experts in media now who are not

1086
01:02:13,240 --> 01:02:16,800
Speaker 1: interested so much in facts as they are in making

1087
01:02:16,800 --> 01:02:19,720
Speaker 1: sure that you tow whatever line they seem to be

1088
01:02:19,800 --> 01:02:23,120
Speaker 1: dragging at that particular time. So when Trump came out

1089
01:02:23,120 --> 01:02:24,720
Speaker 1: and said, you know what, I think this thing could

1090
01:02:24,720 --> 01:02:27,720
Speaker 1: be promising. I don't know, I'm encouraged by it. The

1091
01:02:27,760 --> 01:02:30,240
Speaker 1: media went and attacked him. But when Andrew Cuomo came

1092
01:02:30,240 --> 01:02:32,160
Speaker 1: out and said the exact same thing, they said, oh

1093
01:02:32,200 --> 01:02:34,440
Speaker 1: my goodness to Andrew Cuomo, he sure is adult. Do

1094
01:02:34,440 --> 01:02:37,400
Speaker 1: you know nobody has confronted Cuomo? Why did he not

1095
01:02:37,560 --> 01:02:40,240
Speaker 1: listen to his own health task force? And by the ventilators?

1096
01:02:40,280 --> 01:02:43,000
Speaker 1: Do you know, Sean Davis, It says in that very report. Oh,

1097
01:02:43,040 --> 01:02:45,080
Speaker 1: and the federal government will not be able to help you,

1098
01:02:46,080 --> 01:02:50,200
Speaker 1: actually says the very limited in their help. It's your responsibility.

1099
01:02:50,280 --> 01:02:52,280
Speaker 1: You have a duty to do this. It would have

1100
01:02:52,320 --> 01:02:55,240
Speaker 1: only been point four percent of his budget and he

1101
01:02:55,280 --> 01:02:57,640
Speaker 1: didn't do it. And they think, you know, he's supposed

1102
01:02:57,680 --> 01:03:02,160
Speaker 1: to be the authority on this. No, thank you, unbelievable,

1103
01:03:02,560 --> 01:03:06,000
Speaker 1: all right, Sheryl Atkinson, Sean Davis, thank you both. Art.

1104
01:03:06,520 --> 01:03:09,680
Speaker 1: We do have I think a fourth stimulus plan, a

1105
01:03:09,760 --> 01:03:12,360
Speaker 1: rescue plan, call it what you like. It's coming at us.

1106
01:03:12,960 --> 01:03:14,920
Speaker 1: You don't think it works, you don't think we should

1107
01:03:14,920 --> 01:03:17,320
Speaker 1: do it? No, I don't I mean, as you know, Stewart,

1108
01:03:17,360 --> 01:03:19,760
Speaker 1: I'm the biggest fan of this president's ever. I think

1109
01:03:19,760 --> 01:03:21,760
Speaker 1: he's been the best president so far in the last

1110
01:03:21,840 --> 01:03:24,480
Speaker 1: fifty years. I mean, really, I'm a huge fan. But

1111
01:03:24,600 --> 01:03:27,800
Speaker 1: this stimulus package will make things worse, not better. What

1112
01:03:27,840 --> 01:03:29,520
Speaker 1: we need to do is let people who work and

1113
01:03:29,600 --> 01:03:32,000
Speaker 1: produce keep their income, not have the government take it.

1114
01:03:32,280 --> 01:03:34,760
Speaker 1: And by putting that stimulus package in, just like in

1115
01:03:34,800 --> 01:03:36,680
Speaker 1: the two thousand and eight two thousand and nine period

1116
01:03:36,920 --> 01:03:39,720
Speaker 1: and in the Great Depression, it will make the economy worse,

1117
01:03:40,080 --> 01:03:43,840
Speaker 1: not better. But I don't get it, Art, I don't

1118
01:03:43,880 --> 01:03:47,160
Speaker 1: get it. I don't see how massive spending. Oh we're

1119
01:03:47,160 --> 01:03:50,600
Speaker 1: talking trillions and trillions and trillions of dollars. I don't

1120
01:03:50,640 --> 01:03:54,680
Speaker 1: see how that does not put a flaw under the economy.

1121
01:03:54,760 --> 01:03:57,120
Speaker 1: I don't see how it hurts theco You'll explain it

1122
01:03:57,160 --> 01:04:00,040
Speaker 1: to me. You tell me how spending all of this

1123
01:04:00,120 --> 01:04:05,320
Speaker 1: money actually huts the economy. I will. Government spending is taxation.

1124
01:04:05,720 --> 01:04:10,960
Speaker 1: Government doesn't create resources, Stewart, They redistribute resources. Whenever the

1125
01:04:11,040 --> 01:04:13,840
Speaker 1: government spends a trillion dollars, it takes a trillion dollars

1126
01:04:13,840 --> 01:04:17,040
Speaker 1: from workers and producers who others would so government spending

1127
01:04:17,160 --> 01:04:20,600
Speaker 1: is taxation, and as such, government spending will reduce the

1128
01:04:20,640 --> 01:04:23,120
Speaker 1: growth rate of the US and will hurt the economy

1129
01:04:23,200 --> 01:04:26,760
Speaker 1: in bad, bad times. Now when we're rich and when prosperous,

1130
01:04:26,920 --> 01:04:29,640
Speaker 1: government spending is perfect them because then we can afford

1131
01:04:29,920 --> 01:04:32,800
Speaker 1: to take resources away from producers. But right now we

1132
01:04:32,880 --> 01:04:36,040
Speaker 1: need to be the fans of producers, not the fans

1133
01:04:36,120 --> 01:04:38,960
Speaker 1: of consumers. I'm very sorry, but that's what has to

1134
01:04:38,960 --> 01:04:41,280
Speaker 1: be done now. We need free markets more than ever.

1135
01:04:43,160 --> 01:04:45,640
Speaker 1: All right, that's ourn't Laugher on with our friends Stewart

1136
01:04:45,720 --> 01:04:48,440
Speaker 1: Varney on the Fox Business Network News round Up Information

1137
01:04:48,480 --> 01:04:50,880
Speaker 1: overloa an hour eight hundred and nine four one shown

1138
01:04:50,880 --> 01:04:52,200
Speaker 1: if you want to be a part of the program.

1139
01:04:52,200 --> 01:04:55,280
Speaker 1: You went into more details. We've heard of the Laugher curve,

1140
01:04:56,240 --> 01:05:01,040
Speaker 1: but I have a lot of interest and what he

1141
01:05:01,120 --> 01:05:04,200
Speaker 1: has to say, and he went into a long explanation

1142
01:05:04,320 --> 01:05:08,000
Speaker 1: that historically and he's been around dealing with financial issues,

1143
01:05:08,640 --> 01:05:11,280
Speaker 1: big issues like the one we're facing in the financial

1144
01:05:11,480 --> 01:05:16,240
Speaker 1: crunch associated with dealing with coronavirus, the biggest, the most

1145
01:05:16,400 --> 01:05:20,840
Speaker 1: massive medical operation that we've had in our modern lifetime.

1146
01:05:20,880 --> 01:05:24,000
Speaker 1: It's being treated like a war. Two point two trillion

1147
01:05:24,000 --> 01:05:27,120
Speaker 1: dollar passage of monies to help out those out of

1148
01:05:27,120 --> 01:05:30,360
Speaker 1: work and businesses small and large that have been directly

1149
01:05:30,400 --> 01:05:34,280
Speaker 1: impacted by the virus and shutting down economic a big

1150
01:05:34,600 --> 01:05:39,200
Speaker 1: portion of our economy. Anyway. Here to shed some light

1151
01:05:39,240 --> 01:05:42,000
Speaker 1: on all of this, David Bronson is with us, author

1152
01:05:42,040 --> 01:05:44,680
Speaker 1: of Elizabeth Warren How our Presidency would Destroy the middle

1153
01:05:44,680 --> 01:05:48,600
Speaker 1: Class and American Dream Managing chief Investment officer of the

1154
01:05:48,640 --> 01:05:52,560
Speaker 1: Bonson Group, and Steve Moore, former senior economic advisor to

1155
01:05:52,640 --> 01:05:55,480
Speaker 1: President Trump, also author of Trump and Omics Inside the

1156
01:05:55,480 --> 01:05:59,640
Speaker 1: American First Plan to Revive our economy. Guys, welcome to

1157
01:05:59,680 --> 01:06:04,320
Speaker 1: the program, Thanks Sean. What's going on all right? Let

1158
01:06:04,320 --> 01:06:06,680
Speaker 1: me start with you, Steve Moore. I happen to like

1159
01:06:06,920 --> 01:06:08,960
Speaker 1: laugh for a lot, and I take him seriously, and

1160
01:06:09,000 --> 01:06:12,280
Speaker 1: I tend to agree. I don't like talk of even

1161
01:06:12,360 --> 01:06:14,919
Speaker 1: beyond the four trillion and loan guarantees by the Fed

1162
01:06:15,000 --> 01:06:17,520
Speaker 1: that will be available in the two point four two

1163
01:06:17,520 --> 01:06:22,320
Speaker 1: point two trillion aid package that has been passed. He

1164
01:06:22,480 --> 01:06:24,880
Speaker 1: thinks that really the better part of valor would be

1165
01:06:24,920 --> 01:06:27,520
Speaker 1: to go with a payroll tax cut seven hundred and

1166
01:06:27,600 --> 01:06:31,600
Speaker 1: fifty billion dollars worth as a better cure for what

1167
01:06:31,640 --> 01:06:35,360
Speaker 1: ails us now. What are your thoughts. Yeah, well, Sean,

1168
01:06:36,440 --> 01:06:39,000
Speaker 1: Arthur Laugher was the co author of Trumpanomics with me,

1169
01:06:39,080 --> 01:06:41,440
Speaker 1: so he's my best friend in the world other than

1170
01:06:41,520 --> 01:06:44,560
Speaker 1: Larry Cudlow. So I'm not going to disagree with Arthur,

1171
01:06:44,600 --> 01:06:47,520
Speaker 1: who taught me economics, but he's of course right. And

1172
01:06:47,600 --> 01:06:50,960
Speaker 1: we learned this lesson from Milton Friedman. Remember this one, Sean.

1173
01:06:51,080 --> 01:06:53,280
Speaker 1: There ain't no such thing as a free lunch. You know,

1174
01:06:53,320 --> 01:06:55,640
Speaker 1: if the government takes a dollar and gives it to somebody,

1175
01:06:55,840 --> 01:06:57,920
Speaker 1: as Arthur just said, you have to take it away

1176
01:06:57,960 --> 01:07:00,760
Speaker 1: from someone else. And I'm surprised that so many people

1177
01:07:00,800 --> 01:07:04,200
Speaker 1: in Washington are still so mystified by this idea that

1178
01:07:04,320 --> 01:07:08,439
Speaker 1: somehow government spending magically, you know, makes the economy better.

1179
01:07:08,640 --> 01:07:10,600
Speaker 1: Milton Friedman used to talk about, you know, stopping a

1180
01:07:10,640 --> 01:07:13,960
Speaker 1: hundred dollars bills into helicopters and dropping them over cities,

1181
01:07:13,960 --> 01:07:16,320
Speaker 1: and somehow people would think that that was a stimulus.

1182
01:07:16,720 --> 01:07:19,720
Speaker 1: We need a real stimulus. We need to we need

1183
01:07:19,760 --> 01:07:22,800
Speaker 1: to get the economy opened as quickly as possible. My

1184
01:07:22,880 --> 01:07:26,480
Speaker 1: line on this very is very simple, John. It doesn't

1185
01:07:26,480 --> 01:07:28,800
Speaker 1: matter how many of these trillions of dollars of bills

1186
01:07:29,240 --> 01:07:32,680
Speaker 1: that they pass It doesn't matter how many trillions of

1187
01:07:32,720 --> 01:07:37,120
Speaker 1: dollars the dead prints. If the economy isn't working, if

1188
01:07:37,520 --> 01:07:40,400
Speaker 1: it isn't functioning, if it isn't producing goods and services,

1189
01:07:40,560 --> 01:07:44,280
Speaker 1: it's not going to matter. Yeah. Well, I mean that's

1190
01:07:44,280 --> 01:07:47,080
Speaker 1: the point. And you know, at some point here we're getting,

1191
01:07:47,200 --> 01:07:49,479
Speaker 1: you know, to this April thirtieth deadline. All right, today,

1192
01:07:49,520 --> 01:07:53,120
Speaker 1: it's only April sixth, Both April thirtieth is coming, David.

1193
01:07:53,320 --> 01:07:57,120
Speaker 1: And if we don't start opening up portions of our economy,

1194
01:07:57,280 --> 01:08:00,840
Speaker 1: I really worry is the President's and saying we got

1195
01:08:00,840 --> 01:08:03,200
Speaker 1: to open up again. We're not made to not work,

1196
01:08:03,240 --> 01:08:06,720
Speaker 1: We're not. Our society has to function. Oh it's interesting.

1197
01:08:06,760 --> 01:08:10,360
Speaker 1: Everyone wants the store shelves filled and their pharmacies filled,

1198
01:08:10,360 --> 01:08:12,800
Speaker 1: and you know they want food deliveries or pick up

1199
01:08:12,840 --> 01:08:16,559
Speaker 1: in the meantime. But to have that happen, you need farmers,

1200
01:08:16,560 --> 01:08:20,160
Speaker 1: and you need truckers, and you need transportation. And you know,

1201
01:08:20,200 --> 01:08:22,400
Speaker 1: we have entire industries now that have been shut down

1202
01:08:22,439 --> 01:08:24,400
Speaker 1: and will likely stay shut down for a while. But

1203
01:08:24,560 --> 01:08:26,720
Speaker 1: at what point do we get to open things back up,

1204
01:08:27,120 --> 01:08:31,920
Speaker 1: even if it's just geographically for the start. Well, you know,

1205
01:08:32,200 --> 01:08:35,000
Speaker 1: Larry Carlo and Steve Moore and our laugh for my

1206
01:08:35,160 --> 01:08:39,439
Speaker 1: friends and economic mentors, and there's nothing I could say

1207
01:08:39,680 --> 01:08:42,360
Speaker 1: that they haven't already said. On the supply side, you

1208
01:08:42,479 --> 01:08:46,720
Speaker 1: have to have goods and services to drive economic activity.

1209
01:08:46,760 --> 01:08:49,920
Speaker 1: And I agree with everything Steve said that there isn't

1210
01:08:49,920 --> 01:08:52,200
Speaker 1: any stimulus in the world that will fill a hole

1211
01:08:52,240 --> 01:08:56,200
Speaker 1: if you stop producing economically. But let me add something

1212
01:08:56,280 --> 01:08:58,880
Speaker 1: that I don't think is necessarily the angle that they're

1213
01:08:58,920 --> 01:09:03,200
Speaker 1: even taking right now, which ties into what you're talking about, Sean,

1214
01:09:03,280 --> 01:09:07,360
Speaker 1: and that is the spiritual and moral element of non productivity.

1215
01:09:07,840 --> 01:09:10,519
Speaker 1: People are not meant to be idle, They're not meant

1216
01:09:10,560 --> 01:09:13,760
Speaker 1: to be sitting at their homes. I understand that there

1217
01:09:13,840 --> 01:09:18,080
Speaker 1: was this period necessary to control things and social distancing.

1218
01:09:18,120 --> 01:09:20,639
Speaker 1: I wish it had been handled at a more federalist level,

1219
01:09:20,960 --> 01:09:26,680
Speaker 1: individual states, subsidiarity, local decision making. But we're really the

1220
01:09:26,720 --> 01:09:30,879
Speaker 1: thing that concerns me even more than the supply side

1221
01:09:31,000 --> 01:09:35,000
Speaker 1: dry up of economic activity is what's happening to people's

1222
01:09:35,520 --> 01:09:40,559
Speaker 1: existential purpose in life by being held dormant right now? Well,

1223
01:09:40,560 --> 01:09:42,679
Speaker 1: I mean, so how do we do it? Steve Moore?

1224
01:09:42,960 --> 01:09:46,800
Speaker 1: How would Laugher, you and Cutlo do it? You know,

1225
01:09:46,880 --> 01:09:50,519
Speaker 1: Cutlow seems fairly optimistic in the plan that they passed

1226
01:09:50,560 --> 01:09:54,640
Speaker 1: in Congress, which you know, I can't believe that. You know,

1227
01:09:54,680 --> 01:09:56,439
Speaker 1: that's a lot of money, and I can't believe they're

1228
01:09:56,439 --> 01:10:01,280
Speaker 1: talking about two trilla more for infrastructure. So LANs that.

1229
01:10:01,360 --> 01:10:03,160
Speaker 1: But I want to just say something response to what

1230
01:10:03,200 --> 01:10:05,000
Speaker 1: somebody gave was saying, I agree with you about the

1231
01:10:05,080 --> 01:10:08,639
Speaker 1: spiritual element of this, but there's another element, Sean, about freedom,

1232
01:10:08,840 --> 01:10:13,240
Speaker 1: just freedom, the liberties that we've given up, the kinds

1233
01:10:13,240 --> 01:10:17,439
Speaker 1: of extraordinary powers that are being sumed by government I

1234
01:10:17,520 --> 01:10:19,680
Speaker 1: never saw in the United States. Now we're not talking

1235
01:10:19,720 --> 01:10:22,000
Speaker 1: about Russia and the Soviet Union, we're talking about the

1236
01:10:22,120 --> 01:10:25,240
Speaker 1: United States. I'm very bothered by it. The government setting

1237
01:10:25,240 --> 01:10:29,240
Speaker 1: curfews and in some cases cities you virtually have martial law.

1238
01:10:29,280 --> 01:10:32,120
Speaker 1: I saw the governor or Cuomo is now charging people

1239
01:10:32,120 --> 01:10:36,000
Speaker 1: a thousand dollars if they violate, you know, going outside

1240
01:10:36,080 --> 01:10:38,560
Speaker 1: for a purpose other than what the government wants. I

1241
01:10:38,600 --> 01:10:41,000
Speaker 1: don't know about you, Shan, but that very very much

1242
01:10:41,080 --> 01:10:44,639
Speaker 1: disturbs me because this is a country founded on liberty

1243
01:10:44,680 --> 01:10:49,320
Speaker 1: and freedom. Now on the economic front, what I favor

1244
01:10:49,400 --> 01:10:52,320
Speaker 1: with Laugher favors with I think Larry Tubbo favors, and

1245
01:10:52,360 --> 01:10:55,360
Speaker 1: I think Trump favors is to suspend the payroll tax

1246
01:10:55,400 --> 01:10:57,679
Speaker 1: for the rest of the year. Think about this, Sean,

1247
01:10:57,760 --> 01:11:00,639
Speaker 1: that would give one hundred and seventy million workers, every

1248
01:11:00,640 --> 01:11:03,040
Speaker 1: one of us, whether you're rich or poor, a seven

1249
01:11:03,080 --> 01:11:05,360
Speaker 1: and a half percent pay increase in your paycheck. You'll

1250
01:11:05,360 --> 01:11:07,360
Speaker 1: get a seven a half percent raise in your paycheck.

1251
01:11:07,640 --> 01:11:10,799
Speaker 1: And every employer and employers are really important in this country,

1252
01:11:10,840 --> 01:11:13,479
Speaker 1: the small business amount of women. This would cut their

1253
01:11:13,560 --> 01:11:16,240
Speaker 1: payroll class by seven and a half percent across the board.

1254
01:11:16,439 --> 01:11:20,040
Speaker 1: So it would encourage employment and hiring, but it would

1255
01:11:20,040 --> 01:11:22,880
Speaker 1: also encourage people to get back to work. And by

1256
01:11:22,880 --> 01:11:25,000
Speaker 1: the way, on the issue of fairness, I'm not so

1257
01:11:25,040 --> 01:11:28,360
Speaker 1: sure how it's fear to give people more unemployment benefits

1258
01:11:28,560 --> 01:11:31,200
Speaker 1: than people are getting who are continuing to work. That's

1259
01:11:31,200 --> 01:11:33,760
Speaker 1: a big problem to me. Well, I think it's a

1260
01:11:33,800 --> 01:11:36,520
Speaker 1: big problem. So again, is it something that you gradually

1261
01:11:36,600 --> 01:11:39,760
Speaker 1: roll out, David, or is it something that you could

1262
01:11:39,800 --> 01:11:44,479
Speaker 1: do more expeditiously. Well, I think that the payroll tax

1263
01:11:44,600 --> 01:11:46,880
Speaker 1: type the problem in the past has always been that

1264
01:11:46,960 --> 01:11:50,120
Speaker 1: it's been temporary. And we talked about Milton Freeman a

1265
01:11:50,160 --> 01:11:53,880
Speaker 1: moment ago. He had his very famous permanent income hypothesis.

1266
01:11:54,240 --> 01:11:57,040
Speaker 1: People don't spend money when they don't believe that they're

1267
01:11:57,040 --> 01:11:59,920
Speaker 1: actually going to keep it for good. And in this case,

1268
01:12:00,360 --> 01:12:02,960
Speaker 1: I think that what Carlo very much wants to see

1269
01:12:03,040 --> 01:12:06,400
Speaker 1: ya pocularly about this directly is something that is more

1270
01:12:06,479 --> 01:12:10,439
Speaker 1: permanently effective on the supply side. And yet of course

1271
01:12:10,479 --> 01:12:13,000
Speaker 1: they have to deal with the legislative realities of it,

1272
01:12:13,040 --> 01:12:15,960
Speaker 1: and so I suspect it will end up being legislative

1273
01:12:16,000 --> 01:12:18,920
Speaker 1: horse trading to get it done. But Steve's exactly right.

1274
01:12:18,960 --> 01:12:21,080
Speaker 1: And the thing I'd add to Sezepoint, which he knows

1275
01:12:21,120 --> 01:12:24,280
Speaker 1: full well, is that the employeeer, when you talk about

1276
01:12:24,280 --> 01:12:28,200
Speaker 1: this paywall tax, there's two sides to it. Yes, the

1277
01:12:28,200 --> 01:12:30,840
Speaker 1: employee is saving money and the employer saving their side.

1278
01:12:31,080 --> 01:12:34,400
Speaker 1: But for self employed people, which is so many small businesses,

1279
01:12:34,840 --> 01:12:38,880
Speaker 1: that's two sides. That's fifteen percent of savings. And so

1280
01:12:38,960 --> 01:12:43,440
Speaker 1: to get that kind of stimulus, which is really growth oriented,

1281
01:12:44,000 --> 01:12:45,880
Speaker 1: is the right way to go about doing it. I'm

1282
01:12:45,920 --> 01:12:48,839
Speaker 1: not sure if it's true the President Trump is against

1283
01:12:49,160 --> 01:12:51,719
Speaker 1: the infrastructure idea. I think he's been kind of big

1284
01:12:51,720 --> 01:12:53,960
Speaker 1: on that whole idea for some time, and I think

1285
01:12:53,960 --> 01:12:56,800
Speaker 1: a lot of us believe that there's infrastructure that needs

1286
01:12:56,800 --> 01:12:59,200
Speaker 1: to be fixed in our country. The problem is it

1287
01:12:59,240 --> 01:13:01,519
Speaker 1: needs to be done when we're in a place of

1288
01:13:01,600 --> 01:13:05,760
Speaker 1: economic strength, and now to go into this kind of situation,

1289
01:13:06,520 --> 01:13:10,200
Speaker 1: it becomes more rosevelty and a new dealish than anything else.

1290
01:13:11,400 --> 01:13:13,760
Speaker 1: What do you think it's a little Let me add

1291
01:13:13,800 --> 01:13:16,920
Speaker 1: something quickly to that, which is, are you listening to

1292
01:13:16,960 --> 01:13:21,959
Speaker 1: what Chuck Schumer and others are saying. Schumer said yesterday,

1293
01:13:22,160 --> 01:13:24,639
Speaker 1: we don't watch just one more two trillion dollars spending bill.

1294
01:13:24,680 --> 01:13:26,800
Speaker 1: He said, we may need two more two trillion dollars

1295
01:13:26,840 --> 01:13:29,680
Speaker 1: spending bills. I mean, these numbers are starting to stagger

1296
01:13:29,760 --> 01:13:31,880
Speaker 1: even me and I've been in this business a long time.

1297
01:13:32,120 --> 01:13:35,320
Speaker 1: And Sean, I guarantee you I know what the Democrats want.

1298
01:13:35,520 --> 01:13:38,559
Speaker 1: They want the Green New Deal, they want Medicare for all,

1299
01:13:38,840 --> 01:13:41,120
Speaker 1: they want all of the stuff Bernie Sanders talk about

1300
01:13:41,120 --> 01:13:45,000
Speaker 1: in the campaign, and they are using this terrible crisis

1301
01:13:45,520 --> 01:13:48,439
Speaker 1: is their opportunity to get this done. And we have

1302
01:13:48,640 --> 01:13:54,200
Speaker 1: to as conservatives stop that. I agree, and I agree wholeheartedly.

1303
01:13:54,439 --> 01:13:57,360
Speaker 1: I just think that at some point, you know, I

1304
01:13:57,439 --> 01:14:00,439
Speaker 1: think that when does the cure become worst than what

1305
01:14:00,479 --> 01:14:06,720
Speaker 1: we started what is the impact long term? Well, and

1306
01:14:08,400 --> 01:14:11,280
Speaker 1: let's go to David first. David, I'm sorry, Steve. What

1307
01:14:11,320 --> 01:14:13,400
Speaker 1: I was going to say is that the part I

1308
01:14:13,439 --> 01:14:15,439
Speaker 1: think very few people are talking about. We're focused on

1309
01:14:15,479 --> 01:14:18,759
Speaker 1: government spending. We're talking about growth of government, pretty normal

1310
01:14:18,800 --> 01:14:20,960
Speaker 1: things that guys like the three of us are always

1311
01:14:20,960 --> 01:14:24,200
Speaker 1: concerned about. But I really believe we have to have

1312
01:14:24,240 --> 01:14:28,320
Speaker 1: a conversation about the power that the Federal Reserve now

1313
01:14:28,439 --> 01:14:31,160
Speaker 1: has in the country. I put an article up at

1314
01:14:31,240 --> 01:14:34,960
Speaker 1: National Review today. Look, I understand the emergency measures the

1315
01:14:35,040 --> 01:14:37,640
Speaker 1: Chairman Pal had to take here. The problem is that

1316
01:14:37,720 --> 01:14:40,719
Speaker 1: we do it when it's not emergency measures. The financial

1317
01:14:40,760 --> 01:14:43,479
Speaker 1: crisis had ended nine years ago, and we still have

1318
01:14:43,680 --> 01:14:48,280
Speaker 1: this sort of unbelievably strong role with the central bank

1319
01:14:48,320 --> 01:14:51,880
Speaker 1: in the country, and I think that we are seceding

1320
01:14:52,040 --> 01:14:54,400
Speaker 1: more and more to those things that then when the

1321
01:14:54,439 --> 01:14:58,919
Speaker 1: crisis ends shone. It doesn't go away, just like government spending.

1322
01:14:59,000 --> 01:15:01,800
Speaker 1: That's the problem. It never goes away, and I'll tell

1323
01:15:01,840 --> 01:15:04,840
Speaker 1: you it just never ends anyway. Thank you both, I

1324
01:15:04,840 --> 01:15:07,640
Speaker 1: appreciate it. David Bonson and Steve Moore. We got to

1325
01:15:07,680 --> 01:15:10,360
Speaker 1: watch this very closely because we got to know that

1326
01:15:10,400 --> 01:15:11,960
Speaker 1: the cure is not going to be worse than what

1327
01:15:11,960 --> 01:15:13,720
Speaker 1: we've already started with here. But we've got to help

1328
01:15:13,760 --> 01:15:16,360
Speaker 1: out workers that need, you know, the bridge the money

1329
01:15:16,400 --> 01:15:17,920
Speaker 1: through no fault to their own. We've got to help

1330
01:15:17,960 --> 01:15:21,080
Speaker 1: out small businesses. We want these businesses up running and open.

1331
01:15:21,120 --> 01:15:22,920
Speaker 1: And by the way, most people I don't want to work,

1332
01:15:23,000 --> 01:15:26,640
Speaker 1: want their businesses to open, and they want to keep

1333
01:15:26,720 --> 01:15:29,599
Speaker 1: their employees. I know many many business owners that are

1334
01:15:29,640 --> 01:15:32,360
Speaker 1: just keeping their employees on. They want to keep them on.

1335
01:15:32,439 --> 01:15:34,639
Speaker 1: Some are doing some furloughs, but they want to get

1336
01:15:34,640 --> 01:15:38,040
Speaker 1: back to business as quickly as possible for those. We

1337
01:15:38,080 --> 01:15:40,240
Speaker 1: need an airline industry and we're not going to let

1338
01:15:40,280 --> 01:15:43,080
Speaker 1: a cruise industry that is massive go downhill either. We

1339
01:15:43,120 --> 01:15:45,639
Speaker 1: got to figure out how to help them, and we will.

1340
01:15:46,040 --> 01:15:48,960
Speaker 1: We rebuild Europe. We fight back every evil the world

1341
01:15:49,000 --> 01:15:53,200
Speaker 1: throws at us, and we always lead and we always

1342
01:15:53,200 --> 01:15:56,559
Speaker 1: come up with the best solutions. All right, as we

1343
01:15:56,640 --> 01:15:58,840
Speaker 1: roll along eight hundred and nine four one sean, Look,

1344
01:15:58,880 --> 01:16:02,920
Speaker 1: it's a lot of consideration now. The President maybe putting

1345
01:16:02,920 --> 01:16:05,840
Speaker 1: together a second task force to help reopen the economy,

1346
01:16:06,520 --> 01:16:10,120
Speaker 1: and he said that he's considering that focused on reopening

1347
01:16:10,120 --> 01:16:14,200
Speaker 1: the country's economy as the pandemic cases rise, and he's

1348
01:16:14,200 --> 01:16:16,280
Speaker 1: asked about a tweet that he'd sent earlier in the day,

1349
01:16:16,320 --> 01:16:21,160
Speaker 1: responding to a tweet by Dana Peimino suggesting a second

1350
01:16:21,160 --> 01:16:23,880
Speaker 1: task force focused on the economy. Thinking about it, he said,

1351
01:16:24,360 --> 01:16:27,599
Speaker 1: getting a group of people, we have to open our country.

1352
01:16:27,920 --> 01:16:31,040
Speaker 1: The cure cannot be worse than the problem itself. We've

1353
01:16:31,080 --> 01:16:33,559
Speaker 1: got to get our country open. He's right, we do

1354
01:16:33,640 --> 01:16:36,840
Speaker 1: have to get the country open. Now, there's I guess

1355
01:16:36,880 --> 01:16:41,920
Speaker 1: if you know old, once we realize that travel bands work, well,

1356
01:16:41,960 --> 01:16:44,320
Speaker 1: you're gonna now travel ban the world. I doubt it.

1357
01:16:45,040 --> 01:16:48,040
Speaker 1: They will be risks associated with allowing people from other

1358
01:16:48,040 --> 01:16:50,800
Speaker 1: countries to fly into this country. Well, now that we

1359
01:16:50,840 --> 01:16:57,160
Speaker 1: know that mitigation efforts and social distancing work and working

1360
01:16:57,200 --> 01:16:58,679
Speaker 1: from home, does that mean we're all going to work

1361
01:16:58,680 --> 01:17:01,760
Speaker 1: from home now? No, it doesn't. At some point we're

1362
01:17:01,800 --> 01:17:06,120
Speaker 1: gonna get back into regular life. At different points, do

1363
01:17:06,160 --> 01:17:08,400
Speaker 1: we have to worry about some type of rebound from

1364
01:17:08,400 --> 01:17:12,559
Speaker 1: the virus. Unfortunately, that is a part of life. And

1365
01:17:12,880 --> 01:17:16,320
Speaker 1: you know, mitigation efforts have clearly worked and are working

1366
01:17:16,960 --> 01:17:20,200
Speaker 1: and maybe even better than we first thought they would work.

1367
01:17:20,720 --> 01:17:24,240
Speaker 1: But Austria now is the first economy that they're beginning

1368
01:17:24,240 --> 01:17:28,280
Speaker 1: to look forward. And I know most Americans want to

1369
01:17:28,320 --> 01:17:31,400
Speaker 1: get back to work. And I could tell you that

1370
01:17:31,720 --> 01:17:33,639
Speaker 1: everybody that I talked to is sick of being home

1371
01:17:33,680 --> 01:17:36,720
Speaker 1: at this point. And as much as we might actually

1372
01:17:37,680 --> 01:17:40,479
Speaker 1: hate working at different points in our life, not working

1373
01:17:40,520 --> 01:17:44,240
Speaker 1: as a far less attractive alternative because you get bored.

1374
01:17:44,240 --> 01:17:46,479
Speaker 1: How many people do you know that retire. I an't

1375
01:17:46,479 --> 01:17:50,160
Speaker 1: gonna play golf, I'm gonna go fishing every day and

1376
01:17:50,240 --> 01:17:52,719
Speaker 1: talk to them three months later, how's the retirement but sucks?

1377
01:17:52,800 --> 01:17:55,360
Speaker 1: They may not say it, oh no, it's great, it's great,

1378
01:17:55,960 --> 01:17:58,800
Speaker 1: you know, but they get bored pretty quickly. And a

1379
01:17:58,840 --> 01:18:04,640
Speaker 1: lot of people end up evolving into some new challenge, business, adventure,

1380
01:18:05,120 --> 01:18:09,000
Speaker 1: passion calling in their life, or you know, those that

1381
01:18:09,080 --> 01:18:11,639
Speaker 1: don't tend to, you know, not be the happiest people

1382
01:18:11,640 --> 01:18:13,280
Speaker 1: you're going to run into in your life. You need

1383
01:18:13,360 --> 01:18:15,000
Speaker 1: some type of purpose every day of your life. You

1384
01:18:15,000 --> 01:18:18,720
Speaker 1: need to contribute some way in your life. Now, geographically,

1385
01:18:18,800 --> 01:18:20,840
Speaker 1: we've got to consider that part of the rollout and

1386
01:18:21,080 --> 01:18:25,959
Speaker 1: the hot spots. Certainly, containment strategies, mitigation strategies will continue,

1387
01:18:26,000 --> 01:18:31,160
Speaker 1: but I can tell you that it is that is

1388
01:18:31,800 --> 01:18:33,960
Speaker 1: very concerning. I like the idea of a task force.

1389
01:18:34,000 --> 01:18:38,400
Speaker 1: I do think that Laugher is right those considering more

1390
01:18:38,479 --> 01:18:43,040
Speaker 1: moneys sounds very iffy and dangerous. Remember we learned shovel

1391
01:18:43,040 --> 01:18:46,200
Speaker 1: ready jobs. We're not so shovel ready, were they? All right?

1392
01:18:46,240 --> 01:18:48,519
Speaker 1: Eight hundred nine four one shown as we continue your

1393
01:18:48,520 --> 01:18:51,559
Speaker 1: calls and the task force hearing coming up next. All right,

1394
01:18:51,600 --> 01:18:53,200
Speaker 1: twenty five now to the top of the hour, eight

1395
01:18:53,280 --> 01:18:55,240
Speaker 1: hundred and nine four one. Sean, if you want to

1396
01:18:55,240 --> 01:18:58,479
Speaker 1: be a part of the program, you know, I will

1397
01:18:58,520 --> 01:19:02,320
Speaker 1: say this. It is I watched the media and I

1398
01:19:02,360 --> 01:19:04,519
Speaker 1: don't really pay that much attention to it anymore because

1399
01:19:04,520 --> 01:19:07,720
Speaker 1: it just isn't worth it, and it is just so

1400
01:19:08,080 --> 01:19:12,719
Speaker 1: hyper hyper anti Trump. They just don't even they don't

1401
01:19:12,760 --> 01:19:14,680
Speaker 1: seem to have a desire. I mean, one of the

1402
01:19:14,760 --> 01:19:18,240
Speaker 1: things that is really stands out to me is just

1403
01:19:18,360 --> 01:19:21,479
Speaker 1: on the issue of Okay, the same medium mob out there,

1404
01:19:22,560 --> 01:19:25,440
Speaker 1: you know, saying Donald Trump doesn't do enough press conferences.

1405
01:19:26,040 --> 01:19:29,400
Speaker 1: You know, you know Mika Joe and Mika fame liberal Joe.

1406
01:19:30,320 --> 01:19:32,400
Speaker 1: They seem like I used to like Joe Scarborough and

1407
01:19:32,640 --> 01:19:35,080
Speaker 1: you know now he's a big liberal and he hates

1408
01:19:35,120 --> 01:19:38,560
Speaker 1: Donald Trump and I look at this, you know, Conspiracy

1409
01:19:38,600 --> 01:19:41,080
Speaker 1: TV network that he works on. They just hate Trump.

1410
01:19:41,640 --> 01:19:45,080
Speaker 1: Mica wonders if Trump has a financial tie a hydroxy

1411
01:19:45,120 --> 01:19:49,639
Speaker 1: chloroquin unlike it's so idiot, is a dopey reporter. Oh,

1412
01:19:49,760 --> 01:19:52,479
Speaker 1: where did President Trump's thinking evolve as it relates to

1413
01:19:52,560 --> 01:19:56,759
Speaker 1: hydroxy chloroquin And was it this guy is a Lensky,

1414
01:19:56,840 --> 01:19:58,800
Speaker 1: that one guy is a little eccentric. One of the

1415
01:19:58,840 --> 01:20:01,840
Speaker 1: first people that you know, was saying that, hey, this,

1416
01:20:01,960 --> 01:20:04,639
Speaker 1: this could be a big deal. And I'm like, you know,

1417
01:20:05,560 --> 01:20:11,559
Speaker 1: it's so myopic, it's so stupid. The question itself, maybe

1418
01:20:11,560 --> 01:20:14,200
Speaker 1: you want to ask yourself, why did Israel decide to

1419
01:20:14,200 --> 01:20:17,680
Speaker 1: give the United States ten million doses of hydroxy chloroquine?

1420
01:20:18,320 --> 01:20:22,040
Speaker 1: Why did the country of Turkey confiscate all of the

1421
01:20:22,160 --> 01:20:27,599
Speaker 1: nation's hydroxy chloroquine resources to give to those COVID nineteen

1422
01:20:27,640 --> 01:20:30,920
Speaker 1: positive patients, You know, just just little things like that.

1423
01:20:31,040 --> 01:20:34,800
Speaker 1: You begin to wonder, Wow, why in Spain, I think

1424
01:20:34,800 --> 01:20:38,720
Speaker 1: it's up to seventy three percent of COVID nineteen positive

1425
01:20:38,880 --> 01:20:44,479
Speaker 1: patients are getting hydroxy chloroquine. Why is it now? And

1426
01:20:44,680 --> 01:20:47,200
Speaker 1: doctor Oz spelled out in great detail, we now have

1427
01:20:47,240 --> 01:20:49,400
Speaker 1: two studies out of France. One is a much larger

1428
01:20:49,400 --> 01:20:52,679
Speaker 1: study that hydro and this is, you know, a known

1429
01:20:52,800 --> 01:20:56,719
Speaker 1: vil virus studier. I don't know what you call these people.

1430
01:20:56,760 --> 01:21:00,360
Speaker 1: What do you call a guy virologist? Virologists what they

1431
01:21:00,439 --> 01:21:03,120
Speaker 1: do for a living. I'm not a doctor pel Hannah.

1432
01:21:03,160 --> 01:21:06,160
Speaker 1: He's playing doctor No, I'm listening to smart people like

1433
01:21:06,240 --> 01:21:08,040
Speaker 1: doctor ros. You know when doctor Oz is getting his

1434
01:21:08,080 --> 01:21:13,320
Speaker 1: information from it's it is it's old style hard work.

1435
01:21:14,120 --> 01:21:19,440
Speaker 1: He's calling the doctors that have been prescribing hydroxy chloroquin

1436
01:21:19,560 --> 01:21:23,240
Speaker 1: as he explained today for years, for people that have

1437
01:21:23,360 --> 01:21:28,439
Speaker 1: lupus or people that have rheumatoid arthritis, and he is

1438
01:21:28,520 --> 01:21:33,519
Speaker 1: giving this information out to people like that. The doctors

1439
01:21:33,520 --> 01:21:37,040
Speaker 1: are saying, we don't even have any you know, protocols

1440
01:21:37,080 --> 01:21:40,799
Speaker 1: because the risk is non existent. Now there are risks

1441
01:21:40,800 --> 01:21:43,120
Speaker 1: that I've discovered in the course of reading it. For example,

1442
01:21:43,240 --> 01:21:46,559
Speaker 1: anybody with any underlying health issue, you gotta be careful

1443
01:21:46,560 --> 01:21:49,920
Speaker 1: of any man, any anything that you take. If you

1444
01:21:49,960 --> 01:21:55,000
Speaker 1: have hardy rhythmia. Well, those that are prescribing hydroxy chloroquin

1445
01:21:55,120 --> 01:21:59,080
Speaker 1: for lupus or rheumatoid arthritis, they're not even give an

1446
01:21:59,080 --> 01:22:02,519
Speaker 1: EKGs as one of the doctors will tell you on

1447
01:22:02,640 --> 01:22:06,280
Speaker 1: Doctor Oza show either today and tomorrow. The issue of

1448
01:22:06,360 --> 01:22:10,720
Speaker 1: high doses and long term impact on iceight, well, that

1449
01:22:10,720 --> 01:22:14,599
Speaker 1: that's they're not seeing any of that either. Every doctor,

1450
01:22:14,920 --> 01:22:18,519
Speaker 1: as he says, it's no longer really anecdotal. It goes.

1451
01:22:18,600 --> 01:22:22,160
Speaker 1: The fact is is we have supportive data. We keep hearing.

1452
01:22:22,280 --> 01:22:25,719
Speaker 1: He says, this is now case series. Now the last

1453
01:22:25,760 --> 01:22:28,960
Speaker 1: case that he mentioned today is Okay, well, this guy,

1454
01:22:29,080 --> 01:22:34,400
Speaker 1: this virologist in France, this is now his second study.

1455
01:22:34,560 --> 01:22:37,519
Speaker 1: And it's just it's it's Donald Trump. They hate. They're

1456
01:22:37,560 --> 01:22:40,120
Speaker 1: not asking the same questions of Andrew Cuomo, who said

1457
01:22:40,160 --> 01:22:43,120
Speaker 1: today yeah, no promising results. They're promising now that they're

1458
01:22:43,120 --> 01:22:45,519
Speaker 1: giving it to me. I'm gonna have to let the

1459
01:22:45,560 --> 01:22:49,400
Speaker 1: pharmacies give the hydroxy cloric win that all of these

1460
01:22:49,439 --> 01:22:52,240
Speaker 1: doctors in my state would like to prescribe for their patients.

1461
01:22:53,040 --> 01:22:55,599
Speaker 1: I would say, trust the doctors, don't trust Sean Hannity.

1462
01:22:55,640 --> 01:22:58,439
Speaker 1: Trust your doctor, ask your doctor. But if you do

1463
01:22:58,520 --> 01:23:00,920
Speaker 1: get it, after all that I've read and all that

1464
01:23:00,960 --> 01:23:03,839
Speaker 1: I've learned, I can I always am honest with my audience,

1465
01:23:04,280 --> 01:23:08,479
Speaker 1: my conclusion for myself, and consultation with my doctor. Friends, friends,

1466
01:23:08,560 --> 01:23:11,759
Speaker 1: plural as I would take it if I in fact

1467
01:23:12,080 --> 01:23:17,720
Speaker 1: got or contracted COVID nineteen or coronavirus. That's what I

1468
01:23:17,760 --> 01:23:21,400
Speaker 1: would do. You know, the media complaining, you know, how

1469
01:23:21,439 --> 01:23:23,439
Speaker 1: long did they say Donald Trump doesn't talk to us

1470
01:23:23,520 --> 01:23:26,439
Speaker 1: enough and we don't have enough press conferences and etc. Etc.

1471
01:23:27,200 --> 01:23:30,720
Speaker 1: Now you've got the Newsweek saying that they don't want

1472
01:23:30,720 --> 01:23:33,599
Speaker 1: to cover Oh, we've had four press briefings this month.

1473
01:23:33,640 --> 01:23:36,880
Speaker 1: The arrogance of this cowardly administration which does not feel

1474
01:23:36,880 --> 01:23:39,439
Speaker 1: it should be accountable. That's what they were saying before

1475
01:23:39,479 --> 01:23:42,639
Speaker 1: all of this. Mika Brazinski was saying, are you guys

1476
01:23:42,640 --> 01:23:45,160
Speaker 1: holding off of this press briefing because it's so difficult

1477
01:23:45,160 --> 01:23:47,760
Speaker 1: to figure out how to tell the truth about Trump's policies.

1478
01:23:48,479 --> 01:23:51,439
Speaker 1: You know, Karen Tumulty in the Washington Post, the Trump

1479
01:23:51,439 --> 01:23:53,920
Speaker 1: White House the decision to all but do away with

1480
01:23:54,000 --> 01:23:58,720
Speaker 1: regular briefings. That's an unprecedented, an unacceptable precedent. It is

1481
01:23:58,760 --> 01:24:01,120
Speaker 1: the best interest of the country and the president himself

1482
01:24:01,160 --> 01:24:04,599
Speaker 1: to bring them back, all right. The president is holding

1483
01:24:04,640 --> 01:24:08,240
Speaker 1: now the Ellie briefings that might be one any second now.

1484
01:24:08,320 --> 01:24:11,280
Speaker 1: Andrew Feinberg, the same guy as saying that, you know,

1485
01:24:11,479 --> 01:24:14,719
Speaker 1: Donald Trump wants to hijack everyone's televisions with another briefing

1486
01:24:14,720 --> 01:24:17,080
Speaker 1: instead of letting people go a single day without him

1487
01:24:17,080 --> 01:24:19,160
Speaker 1: on the screens. We're in the middle of a national emergency.

1488
01:24:20,360 --> 01:24:23,760
Speaker 1: You have one fake news CNN host after another, one

1489
01:24:23,800 --> 01:24:30,360
Speaker 1: conspiracy TV theory MSDNC host after another outraged, this is wrong.

1490
01:24:30,360 --> 01:24:35,519
Speaker 1: We've got to stop these press briefings during a national emergency. Really.

1491
01:24:35,560 --> 01:24:39,240
Speaker 1: New York Times executive editor says they've now withdrawn their

1492
01:24:39,280 --> 01:24:43,519
Speaker 1: reporters from briefings because they wonder if there is any

1493
01:24:43,600 --> 01:24:48,040
Speaker 1: the newsworthy, uncertain newsworthiness and health considerations. Well, they are

1494
01:24:48,160 --> 01:24:50,439
Speaker 1: ready to determine it's the Trump virus. And if you're

1495
01:24:50,439 --> 01:24:53,160
Speaker 1: feeling awful, you know who to blame. They're the ones

1496
01:24:53,200 --> 01:24:56,200
Speaker 1: telling people to travel to China after the travel band

1497
01:24:56,320 --> 01:24:59,080
Speaker 1: was put in place. That was brilliant idea, and all

1498
01:24:59,080 --> 01:25:01,880
Speaker 1: the other dumb things what they said. You know now,

1499
01:25:01,960 --> 01:25:04,320
Speaker 1: Meek is saying the president's need to be on camera

1500
01:25:04,640 --> 01:25:07,600
Speaker 1: forces his coronavirus team to scramble to prepare for a

1501
01:25:07,640 --> 01:25:10,519
Speaker 1: briefing in which they have no news. That's not true.

1502
01:25:10,520 --> 01:25:12,519
Speaker 1: If they didn't have news, well, then the reporters in

1503
01:25:12,520 --> 01:25:14,479
Speaker 1: the room wouldn't have questions, but they have hours and

1504
01:25:14,520 --> 01:25:18,639
Speaker 1: hours and hours worth of questions. You got Eric pop

1505
01:25:18,680 --> 01:25:20,960
Speaker 1: the pimple over there at the Washington Post. C an

1506
01:25:21,040 --> 01:25:25,800
Speaker 1: n MSNBC refused to carry full Trump coronavirus briefing. Yay,

1507
01:25:25,840 --> 01:25:29,080
Speaker 1: well we know what they said. They said, we're lecturing

1508
01:25:29,120 --> 01:25:33,439
Speaker 1: Americans about being afraid of the virus. I was warning people.

1509
01:25:33,439 --> 01:25:36,679
Speaker 1: This doesn't look good. All right, let's go to is it.

1510
01:25:37,800 --> 01:25:40,879
Speaker 1: Let's see. Oh Dave, doctor David apparently a doctor, and Talita,

1511
01:25:40,920 --> 01:25:42,880
Speaker 1: how are you doctor David? What kind of doctor are you?

1512
01:25:43,760 --> 01:25:46,880
Speaker 1: I'm a retinal specialist. Oh what's going on? Sir? How

1513
01:25:46,880 --> 01:25:48,280
Speaker 1: are you? Thanks for what you do every day to

1514
01:25:48,400 --> 01:25:52,120
Speaker 1: keep people healthy. I want you to be ahead of

1515
01:25:52,160 --> 01:25:54,400
Speaker 1: a play. I think the lesson's gonna make and Matt

1516
01:25:54,479 --> 01:25:57,840
Speaker 1: is they're going to come out with the declaration that

1517
01:25:58,479 --> 01:26:04,200
Speaker 1: hydroptic clark when causes blindness, and it's well documented that

1518
01:26:04,280 --> 01:26:07,599
Speaker 1: it does. I have read all of that, and I've

1519
01:26:07,600 --> 01:26:10,439
Speaker 1: said it on the ear numerous times that in high doses,

1520
01:26:10,479 --> 01:26:14,160
Speaker 1: it absolutely is a known side effect of this forty

1521
01:26:14,160 --> 01:26:18,040
Speaker 1: five year old drug. From every question, and I asked

1522
01:26:18,080 --> 01:26:23,400
Speaker 1: that of doctor Oz even today earlier in the program,

1523
01:26:23,439 --> 01:26:25,600
Speaker 1: and he addressed that very issue and said, they're not

1524
01:26:25,600 --> 01:26:29,559
Speaker 1: seeing those effects at these doses. Do you agree with that? Correct?

1525
01:26:29,680 --> 01:26:33,120
Speaker 1: What happens is it's after prolonged dosing with the drug,

1526
01:26:33,360 --> 01:26:36,600
Speaker 1: that is, year after year after year. The risk of

1527
01:26:36,680 --> 01:26:39,280
Speaker 1: developing vision loss actually is quite high, but it's after

1528
01:26:39,360 --> 01:26:42,760
Speaker 1: twenty years or so of taking the drugs, So we

1529
01:26:42,920 --> 01:26:46,240
Speaker 1: don't otherwise. Have you seen any other any other dangerous

1530
01:26:46,280 --> 01:26:50,280
Speaker 1: signs in your view having prescribed it or seen it prescribed? No,

1531
01:26:50,400 --> 01:26:52,439
Speaker 1: that was the only well, the retinal specialist, that was

1532
01:26:52,439 --> 01:26:54,479
Speaker 1: the only thing that we checked for. All right. I

1533
01:26:54,479 --> 01:26:57,360
Speaker 1: appreciate I got to go to the coronavirus test force.

1534
01:26:57,400 --> 01:27:04,599
Speaker 1: The President just took to the podium this week. America

1535
01:27:04,680 --> 01:27:09,679
Speaker 1: continues our aggressive effort to defeat the virus. As we

1536
01:27:09,960 --> 01:27:12,920
Speaker 1: enter a crucial and difficult phase of the battle. We

1537
01:27:13,040 --> 01:27:15,439
Speaker 1: continue to send our prayers to the people of New

1538
01:27:15,520 --> 01:27:18,760
Speaker 1: York and New Jersey and to our whole country. But

1539
01:27:18,920 --> 01:27:21,719
Speaker 1: right now New York and New Jersey are very hot zones,

1540
01:27:21,840 --> 01:27:25,920
Speaker 1: and we're with them. We're with everybody. You struggle is

1541
01:27:26,120 --> 01:27:29,280
Speaker 1: our struggle, and we will beat this virus. We will

1542
01:27:29,320 --> 01:27:33,439
Speaker 1: beat it together. I also want to send best wishes

1543
01:27:33,560 --> 01:27:36,920
Speaker 1: to a very good friend of mine and a friend

1544
01:27:36,960 --> 01:27:41,320
Speaker 1: to our nation, Prime Minister Boris Johnson. We're very saddened

1545
01:27:41,360 --> 01:27:44,800
Speaker 1: to hear that he was taken into intensive care this

1546
01:27:44,840 --> 01:27:51,040
Speaker 1: afternoon a little while ago, and Americans are roll praying

1547
01:27:51,040 --> 01:27:53,479
Speaker 1: for his recovery. He's been a really good friend. He's

1548
01:27:53,520 --> 01:27:59,719
Speaker 1: been really something very special. Strong, resolute, doesn't quit, doesn't

1549
01:27:59,720 --> 01:28:05,439
Speaker 1: give up. We have made tremendous progress on therapeutics. I

1550
01:28:05,479 --> 01:28:07,960
Speaker 1: had a fantastic call today which I'll be talking about

1551
01:28:07,960 --> 01:28:10,839
Speaker 1: a little bit later, and I've asked two of the

1552
01:28:10,960 --> 01:28:18,080
Speaker 1: leading companies is a brilliant companies, Ebola Aids others. They've

1553
01:28:18,120 --> 01:28:22,400
Speaker 1: come with the solutions and just have done incredible jobs.

1554
01:28:22,400 --> 01:28:25,880
Speaker 1: And I've asked them to contact London immediately. They have

1555
01:28:25,960 --> 01:28:29,280
Speaker 1: offices in London and major companies, but more than major,

1556
01:28:29,400 --> 01:28:33,840
Speaker 1: more than size, their genius and I had to talk

1557
01:28:33,920 --> 01:28:38,439
Speaker 1: with four of them today and they speak a language

1558
01:28:38,439 --> 01:28:42,439
Speaker 1: that most people don't even understand, but I understand something

1559
01:28:42,640 --> 01:28:49,439
Speaker 1: that they've really advanced therapeutics and therapeutically and they have

1560
01:28:49,600 --> 01:28:54,120
Speaker 1: arrived in London already. The London office has whatever they

1561
01:28:54,160 --> 01:28:55,920
Speaker 1: need and we'll see if we can be of help.

1562
01:28:55,960 --> 01:29:03,200
Speaker 1: We've contacted all of Boris's doctor. We'll see what is

1563
01:29:03,240 --> 01:29:05,280
Speaker 1: going to take place, but they are ready to go.

1564
01:29:06,680 --> 01:29:10,200
Speaker 1: But when you get brought into intensive care, that gets

1565
01:29:10,320 --> 01:29:16,639
Speaker 1: very very serious with this particular disease. So the two

1566
01:29:16,680 --> 01:29:21,679
Speaker 1: companies are there and with what they are talking about,

1567
01:29:21,720 --> 01:29:27,320
Speaker 1: and it's rather complex and has had really incredible results.

1568
01:29:28,760 --> 01:29:31,479
Speaker 1: We're working with the FDA and everybody else, but we

1569
01:29:31,560 --> 01:29:36,439
Speaker 1: are working with London with respect to Boris Johnson. Across

1570
01:29:36,479 --> 01:29:43,360
Speaker 1: the country. We're attacking the enemy on all fronts, including medical, scientific, social, logistical,

1571
01:29:43,400 --> 01:29:46,760
Speaker 1: and economic. We're pressing into action the full power of

1572
01:29:46,760 --> 01:29:51,560
Speaker 1: American government and American enterprise, and our military has been incredible.

1573
01:29:51,560 --> 01:29:56,639
Speaker 1: We've just sent three thousand public health personnel. They're now

1574
01:29:56,720 --> 01:29:59,800
Speaker 1: deployed in the New York area and they'll be over

1575
01:30:00,040 --> 01:30:05,200
Speaker 1: the Javits Center over at the Great Ship. And as

1576
01:30:05,240 --> 01:30:10,120
Speaker 1: you probably have heard, and I was informed that Governor

1577
01:30:10,160 --> 01:30:14,000
Speaker 1: Cuomo has already told you and announced. He called me

1578
01:30:14,080 --> 01:30:15,880
Speaker 1: up a little while ago and he asked whether or

1579
01:30:15,920 --> 01:30:20,320
Speaker 1: not it would be possible to use the ship with

1580
01:30:20,479 --> 01:30:24,800
Speaker 1: respect to fighting the virus. And we hadn't had that

1581
01:30:24,880 --> 01:30:27,639
Speaker 1: in mind at all, but we're going to let him

1582
01:30:27,640 --> 01:30:30,679
Speaker 1: do it. And we're also going to let New Jersey.

1583
01:30:32,200 --> 01:30:34,679
Speaker 1: Governor Murphy, we spoke with him a little while ago,

1584
01:30:34,760 --> 01:30:37,120
Speaker 1: and New Jersey is going to use it also because

1585
01:30:37,160 --> 01:30:41,240
Speaker 1: New Jersey is at a hot spot. So Governor Murphy

1586
01:30:41,320 --> 01:30:44,920
Speaker 1: and Governor Cuomo are going to be using the ship

1587
01:30:45,520 --> 01:30:49,599
Speaker 1: New York, New Jersey and it's a big ship and

1588
01:30:49,760 --> 01:30:52,960
Speaker 1: it's now COVID, it's set for COVID, and we are

1589
01:30:53,040 --> 01:30:58,080
Speaker 1: going to hopefully that will be very helpful to both states.

1590
01:31:00,200 --> 01:31:03,320
Speaker 1: The Javit Center, which is two thousand, nine hundred beds

1591
01:31:03,360 --> 01:31:05,479
Speaker 1: just built part of military, also is going to be

1592
01:31:05,520 --> 01:31:07,559
Speaker 1: manned now by the military and they should be in

1593
01:31:07,600 --> 01:31:11,240
Speaker 1: place tomorrow and they'll start sending quite a few people

1594
01:31:11,240 --> 01:31:13,840
Speaker 1: over to the Javit Center. It's convenient, it's right in

1595
01:31:13,840 --> 01:31:17,160
Speaker 1: the middle of everything, so that'll be something great. And

1596
01:31:18,439 --> 01:31:24,439
Speaker 1: we appreciated Governor Cuomo's really nice statements, and likewise Governor Murphy,

1597
01:31:25,160 --> 01:31:28,720
Speaker 1: we have worked very well with both of them and

1598
01:31:28,800 --> 01:31:34,280
Speaker 1: with Frankly all of the governor's Vice President Pennce had

1599
01:31:34,320 --> 01:31:37,880
Speaker 1: a call this morning with them that lasted for close

1600
01:31:37,920 --> 01:31:42,479
Speaker 1: to two hours, and I understand there wasn't a negative

1601
01:31:42,479 --> 01:31:46,320
Speaker 1: person on the call. Fifty governors or just about fifty governors.

1602
01:31:46,320 --> 01:31:48,920
Speaker 1: I think they were all on from what I understood,

1603
01:31:49,840 --> 01:31:55,240
Speaker 1: and they were very positive about everything their federal government

1604
01:31:55,280 --> 01:31:57,680
Speaker 1: has been doing for them. And you'll hear what that is,

1605
01:31:57,680 --> 01:32:02,600
Speaker 1: and it's rather amazing. Actually, nationwide, the Army Corps of

1606
01:32:02,600 --> 01:32:05,920
Speaker 1: Engineers is building twenty two field hospitals. These are big

1607
01:32:05,960 --> 01:32:11,840
Speaker 1: hospitals and alternate care sites in eighteen states. So you

1608
01:32:11,880 --> 01:32:14,839
Speaker 1: have a combination of twenty two field hospitals. In addition

1609
01:32:14,840 --> 01:32:18,000
Speaker 1: to that, we're building alternate care sites, which is a

1610
01:32:18,040 --> 01:32:23,760
Speaker 1: little bit of a smaller version the hospital, and we

1611
01:32:23,880 --> 01:32:25,760
Speaker 1: have a lot of them and they're growing up in

1612
01:32:25,800 --> 01:32:29,760
Speaker 1: eighteen different states. In total, we've deployed eight thousand, four

1613
01:32:29,840 --> 01:32:34,720
Speaker 1: hundred and fifty hospital beds from federal stockpiles. And you know,

1614
01:32:34,760 --> 01:32:38,080
Speaker 1: if you think this has done over a really a

1615
01:32:38,120 --> 01:32:42,160
Speaker 1: period of weeks, it's incredible. Actually, more than eight thousand

1616
01:32:42,240 --> 01:32:46,040
Speaker 1: ventilators have been sent from the national stockpile to our

1617
01:32:46,160 --> 01:32:51,000
Speaker 1: cities and states, backed by the Defense Production Act, which

1618
01:32:51,000 --> 01:32:54,720
Speaker 1: we've used very strongly, very powerfully, so powerfully that we

1619
01:32:54,720 --> 01:32:56,519
Speaker 1: don't have to use it too much, frankly, and it's

1620
01:32:56,600 --> 01:32:58,840
Speaker 1: nice too when you don't have to. We're getting more

1621
01:32:58,880 --> 01:33:02,599
Speaker 1: than we have a bargain or American industry is stepping up.

1622
01:33:02,680 --> 01:33:07,600
Speaker 1: Manufacturers are really going to town or we have thousands

1623
01:33:07,600 --> 01:33:11,920
Speaker 1: of ventilators being built as we speak, and we have

1624
01:33:12,320 --> 01:33:15,559
Speaker 1: hundreds that are being sent to different locations, and we're

1625
01:33:15,560 --> 01:33:17,840
Speaker 1: ready to roll with almost ten thousand that we have

1626
01:33:17,880 --> 01:33:23,120
Speaker 1: in the federal stockpile. When I say ready to roll, too,

1627
01:33:23,240 --> 01:33:28,840
Speaker 1: I mean exactly what that states. We are Wherever that

1628
01:33:29,240 --> 01:33:33,440
Speaker 1: monster goes, we're able to move with it. Great flexibility.

1629
01:33:33,479 --> 01:33:38,320
Speaker 1: We have tremendous flexibility, and we have people waiting and

1630
01:33:38,400 --> 01:33:41,559
Speaker 1: they're ready, willing and able, but waiting to bring them

1631
01:33:41,600 --> 01:33:44,160
Speaker 1: wherever it may be if they need it. If they

1632
01:33:44,280 --> 01:33:47,600
Speaker 1: need it, it's possible that they won't be needed. That

1633
01:33:47,680 --> 01:33:52,719
Speaker 1: we're fully stocked because numbers are coming in where because

1634
01:33:52,720 --> 01:33:55,920
Speaker 1: of what the American people are doing, we're having fewer

1635
01:33:56,000 --> 01:33:58,200
Speaker 1: hospital visits. I think that could be the case in

1636
01:33:58,280 --> 01:33:59,960
Speaker 1: New York, it could be the case in a few

1637
01:34:00,040 --> 01:34:05,200
Speaker 1: other states. And fewer beds, fewer hospital visits mean fewer ventilators.

1638
01:34:05,280 --> 01:34:09,000
Speaker 1: So we'll see whether or not our original projections were right.

1639
01:34:09,680 --> 01:34:12,519
Speaker 1: But anyway, I had a very good talk with both

1640
01:34:12,560 --> 01:34:16,160
Speaker 1: governors and I think they're very happy, extremely happy about

1641
01:34:16,200 --> 01:34:21,000
Speaker 1: the what we're doing for them, and especially going all COVID,

1642
01:34:21,840 --> 01:34:27,360
Speaker 1: so that'll take place almost immediately. FEMA and HS have

1643
01:34:28,280 --> 01:34:32,720
Speaker 1: directly distributed eleven point seven million and ninety five respirators.

1644
01:34:32,840 --> 01:34:37,360
Speaker 1: Think of that. Get the number eleven point seven million

1645
01:34:38,439 --> 01:34:42,920
Speaker 1: and ninety five respirators, eleven point seven million, twenty six

1646
01:34:42,960 --> 01:34:48,920
Speaker 1: point five million surgical masks, five point three million face shields,

1647
01:34:49,080 --> 01:34:54,200
Speaker 1: four point four million surgical gowns, and twenty two point

1648
01:34:54,240 --> 01:34:59,080
Speaker 1: six million gloves twenty two point six million loves. We

1649
01:34:59,200 --> 01:35:02,960
Speaker 1: have also change for vast quantities of additional materials to

1650
01:35:03,040 --> 01:35:07,840
Speaker 1: be allocated through donations and existing supply chains. We've also

1651
01:35:07,960 --> 01:35:13,799
Speaker 1: given tremendous medical material and supplies throughout the fifty States

1652
01:35:13,840 --> 01:35:18,680
Speaker 1: and territories, and through Project air Bridge, we have succeeded

1653
01:35:18,720 --> 01:35:22,759
Speaker 1: in bringing plane loads of vital supplies into the United

1654
01:35:22,800 --> 01:35:27,599
Speaker 1: States from overseas. We had an additional three These are

1655
01:35:27,640 --> 01:35:32,080
Speaker 1: massive planes, by the way. The big planes are very big,

1656
01:35:32,640 --> 01:35:36,800
Speaker 1: very powerful, and they're loaded to the gills with supplies,

1657
01:35:37,600 --> 01:35:40,960
Speaker 1: and rather than bringing them into our stockpile, as we've discussed,

1658
01:35:41,000 --> 01:35:44,240
Speaker 1: we bring them to all the different locations where they're needed,

1659
01:35:44,280 --> 01:35:46,639
Speaker 1: so we can save a big step and a timely

1660
01:35:46,880 --> 01:35:50,920
Speaker 1: step because of my actions under the DPA. I can

1661
01:35:51,120 --> 01:35:54,800
Speaker 1: also announce today that we have reached an agreement, very

1662
01:35:54,880 --> 01:35:59,680
Speaker 1: amicable agreement with three M for the delivery of an

1663
01:35:59,680 --> 01:36:04,160
Speaker 1: addition fifty five point five million high quality face masks

1664
01:36:05,000 --> 01:36:10,240
Speaker 1: face masks each month, so that we're going to be

1665
01:36:10,280 --> 01:36:14,760
Speaker 1: getting over the next couple of months one hundred and

1666
01:36:14,920 --> 01:36:20,760
Speaker 1: sixty six point five million masks for our frontline healthcare workers.

1667
01:36:20,880 --> 01:36:28,040
Speaker 1: So the three M saga ends very happily. We're very

1668
01:36:28,120 --> 01:36:30,719
Speaker 1: proud to be dealing now with three AM. And it's

1669
01:36:31,240 --> 01:36:33,479
Speaker 1: a CEO, Mike Roman. I just spoke with him and

1670
01:36:33,520 --> 01:36:38,439
Speaker 1: I thanked him for getting it done, and Mike was

1671
01:36:38,520 --> 01:36:41,200
Speaker 1: very happy to get it done. Great company. So we're

1672
01:36:41,200 --> 01:36:44,200
Speaker 1: getting one hundred and sixty six point five million masks

1673
01:36:45,000 --> 01:36:50,160
Speaker 1: and mostly that's going to be for our frontline healthcare workers. Okay,

1674
01:36:50,320 --> 01:36:53,439
Speaker 1: that's three M. Thank you three M. I also want

1675
01:36:53,479 --> 01:36:56,240
Speaker 1: to thank Apple, one of the many great American companies

1676
01:36:56,240 --> 01:37:00,840
Speaker 1: that's taken into that you are leapt into action. Today,

1677
01:37:00,880 --> 01:37:04,559
Speaker 1: Apple announced that it is now producing plastic face shields

1678
01:37:05,080 --> 01:37:08,360
Speaker 1: for healthcare workers at the rate of one million per week,

1679
01:37:08,400 --> 01:37:10,800
Speaker 1: one million. And these are the shields that you see

1680
01:37:11,360 --> 01:37:14,280
Speaker 1: on television quite a bit, and they're at the highest

1681
01:37:14,360 --> 01:37:20,440
Speaker 1: level of quality and safety. We're grateful as well to Salesforce,

1682
01:37:21,160 --> 01:37:25,040
Speaker 1: which has donated forty eight million pieces of personal protective equipment,

1683
01:37:25,080 --> 01:37:30,479
Speaker 1: including masks, gowns, suits, and face shields. So thank you

1684
01:37:30,600 --> 01:37:34,759
Speaker 1: very much to Salesforce. I urge all of our nation's

1685
01:37:34,840 --> 01:37:37,960
Speaker 1: governors to ensure that the massive deliveries that we've made

1686
01:37:38,000 --> 01:37:41,680
Speaker 1: to your states over the past few weeks are distributed

1687
01:37:41,720 --> 01:37:45,400
Speaker 1: as quickly as possible. So again, we're working very well

1688
01:37:45,400 --> 01:37:47,759
Speaker 1: with the governors. Now they may see you and say, oh,

1689
01:37:47,800 --> 01:37:50,240
Speaker 1: we're not happy, but they're very happy in the phone,

1690
01:37:50,600 --> 01:37:53,559
Speaker 1: and Mike Pence is a straight shooter and he had

1691
01:37:53,560 --> 01:37:56,120
Speaker 1: a great phone conversation to them with all of the

1692
01:37:56,400 --> 01:38:01,680
Speaker 1: teleconference and they're very happy, every one of them. Were

1693
01:38:01,720 --> 01:38:09,160
Speaker 1: there any negatives? See, I told you, Mike is the greatest, Mike,

1694
01:38:09,240 --> 01:38:10,640
Speaker 1: and you have done a great job, Mike, and I

1695
01:38:10,640 --> 01:38:15,360
Speaker 1: appreciate The whole country appreciates it. Anthony appreciates its, right,

1696
01:38:15,520 --> 01:38:22,080
Speaker 1: don't you see. Everybody appreciates Mike special man. So a

1697
01:38:22,080 --> 01:38:24,760
Speaker 1: lot of the things that we've done again are going

1698
01:38:24,800 --> 01:38:27,479
Speaker 1: directly to the states. The states seem to be very happy.

1699
01:38:27,520 --> 01:38:29,479
Speaker 1: If they're not, they can call me directly, they can

1700
01:38:29,520 --> 01:38:32,960
Speaker 1: call Mike directly, and we'll make them happy. But tremendous

1701
01:38:32,960 --> 01:38:36,040
Speaker 1: progress has been made in a very short period, and

1702
01:38:36,080 --> 01:38:40,840
Speaker 1: I think very importantly the progress has been made before

1703
01:38:40,880 --> 01:38:44,320
Speaker 1: the surge comes, because the next week week and a

1704
01:38:44,360 --> 01:38:47,760
Speaker 1: half is going to be a big surge, the professionals

1705
01:38:47,760 --> 01:38:51,200
Speaker 1: tell us. And I think we're in good shape for it, Anthony.

1706
01:38:51,240 --> 01:38:53,400
Speaker 1: So it's good timing, really good timing. We can have

1707
01:38:53,880 --> 01:38:55,800
Speaker 1: this stuff there. It's already there for the most part.

1708
01:38:55,840 --> 01:39:00,120
Speaker 1: But we're bringing a lot of different resources to to

1709
01:39:00,160 --> 01:39:02,960
Speaker 1: the various locations, especially where the surge is looking like

1710
01:39:03,000 --> 01:39:07,120
Speaker 1: it's going to take place. Resources from the national stockpile

1711
01:39:07,200 --> 01:39:10,040
Speaker 1: need to reach our warriors. And they are warriors. I

1712
01:39:10,080 --> 01:39:12,040
Speaker 1: tell it all the time. I saw it again this morning.

1713
01:39:12,479 --> 01:39:15,760
Speaker 1: He's young, and many cases, many cases older, but they're

1714
01:39:15,800 --> 01:39:19,320
Speaker 1: walking into the hospital and they're putting on gwn I mean,

1715
01:39:19,400 --> 01:39:23,439
Speaker 1: as their doors open, they're going into this place and

1716
01:39:23,640 --> 01:39:28,120
Speaker 1: you know it's not exactly too safe, and they're going

1717
01:39:28,160 --> 01:39:30,320
Speaker 1: in there and they're putting the outfits on and they're

1718
01:39:30,360 --> 01:39:34,200
Speaker 1: putting their masks on and there it's incredible. It's no

1719
01:39:34,400 --> 01:39:37,680
Speaker 1: it's surely it's like no different than you watch the

1720
01:39:37,760 --> 01:39:39,920
Speaker 1: war movies, or you watch the old clips and