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Speaker 1: And here we go. Glad you with us right down

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Speaker 1: our toll free telephone number, It's eight hundred and ninety

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

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Speaker 1: this extravaganza. Nobody seems to know about Kim Jong un.

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Speaker 1: Rumors swirling everywhere. He's dead, he's in a vegetative state.

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Speaker 1: He's sister might take over. We don't know rumors. It

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Speaker 1: is the oddest thing that you can't get an accurate

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Speaker 1: answer on something like that. But I guess it's the

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Speaker 1: world in which we live in today. But we'll find

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Speaker 1: out his successor remember she came into the forefront. Younger

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Speaker 1: sister could take over as the leader of North Korea

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Speaker 1: if speculation proves to be true and her brother has

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Speaker 1: died or is in a vegetative state. We'll find out

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Speaker 1: in the days to come. You can see what I

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Speaker 1: was discussing last week is now unfolding all over the country.

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Speaker 1: I mean, I don't know if you happen to see

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Speaker 1: the beaches in California this past weekend. Huntington Beach, Californi

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Speaker 1: is a case in point. As you know, police lifeguards

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Speaker 1: were fighting to you know, in an effort a losing

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Speaker 1: effort to have the hordes practice social distancing, and I

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Speaker 1: think that it is a mindset that is now becoming

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Speaker 1: ingrained at most people that they feel like they're ready

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Speaker 1: to get life on. Now. The question, the challenge, the

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Speaker 1: difficulty is opening and opening safely one of the things.

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Speaker 1: And I got into this with O'Reilly last week. He

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Speaker 1: wants Baseball MLB to start May fifteenth with no crowds.

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Speaker 1: And I've learned so much I've been doing. I've spent

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Speaker 1: a lot of time talking to the Yankees in New

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Speaker 1: York and Randy Levine, who I've known quite a long

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Speaker 1: period of time. And here's my analogy. And I told

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Speaker 1: him this. I said, you know, I go to the

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Speaker 1: store every weekend. I was there this weekend. There's this

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Speaker 1: one young man. I told him. I was talking about

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Speaker 1: them on the radio and TV. And I see him

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Speaker 1: every single solitary time I go out and go grocery shopping,

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Speaker 1: which is every week at least once twice. You know,

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Speaker 1: I have found that there's a lift you get being

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Speaker 1: outside and oh, just breathing some fresh air because we've

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Speaker 1: all spent so much time indoors, etc. But and he's there,

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Speaker 1: and he's been there the whole time, and he's not

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Speaker 1: talking about reopening, and he's been stocking the shelves. And

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Speaker 1: the guy works really, really hard. He's a really nice kid.

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Speaker 1: And I spoke to him this weekend and I was

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Speaker 1: talking about this part, and every single person that he

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Speaker 1: knows that's working with him has been safe because they've

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Speaker 1: been wearing their masks and gloves and using purell, and

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Speaker 1: the stores are stocked and everything is going on almost

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Speaker 1: like normal now again. I know we're talking about we

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Speaker 1: don't want anybody to lose their life, but we didn't.

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Speaker 1: We didn't stop them from working. They have the protective gear,

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Speaker 1: all the masks now are becoming you know, we're getting

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Speaker 1: tens of millions a week now available for people. And

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Speaker 1: if that's what it takes to open New York City again,

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Speaker 1: if you want to start more slowly, more safely, and

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Speaker 1: they have these turnstiles that I told you about last week,

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Speaker 1: you can literally move people through very quickly. In other words,

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Speaker 1: I don't think it would slow down anybody. If anyone

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Speaker 1: has a temperature which show up, you just walk through, noninvasive.

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Speaker 1: You get you to you know, walk through one at

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Speaker 1: a time. Okay, thank you, Okay, thank you, Okay, thank you, Okay.

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Speaker 1: One person has a high tempt excuse me, do you

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Speaker 1: have a minute? You bring them aside, give them information.

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Speaker 1: Can't go into the stadium everybody the Yankees, they'll they'll

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Speaker 1: have mask with the Yankees emblems on it. If people

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Speaker 1: don't have their own mask, etcetera, etcetera. So it seems

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Speaker 1: and then maybe you want to have two seats or

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Speaker 1: every other seat or every third set to begin. But

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Speaker 1: if if these guys are allowed to stock the shelves

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Speaker 1: right in the epicenter, right in the middle of peak weeks,

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Speaker 1: every single solitary day, and the rest of the country

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Speaker 1: is providing all of the medical equipment that New York

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Speaker 1: and New Jersey, in Connecticut and Louisiana hotspots have needed.

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Speaker 1: And they and we never close them down, never shut

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Speaker 1: them down. And they've all worked using these guidelines. Like

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Speaker 1: the stores in New York and and also you know

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Speaker 1: the pharmacies in New York, those workers have all been working.

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Speaker 1: They've all had masks on two because I've gone into

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Speaker 1: those stores and all the other restaurants that I've gone into,

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Speaker 1: all the workers they all have masks, they all have

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Speaker 1: gloves and they're all working and they never shut down,

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Speaker 1: and they're up and they're running, and now they're doing

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Speaker 1: curbside service or you're going to do walk in service.

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Speaker 1: But there's a distance there. So I think people are

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Speaker 1: now beginning to put it together. Test thing is coming online,

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Speaker 1: make things easier, etc. There's got to be a way

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Speaker 1: to do it, do it safely. Now. It might include

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Speaker 1: those that are older with underlying health conditions and those

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Speaker 1: people that have compromised immune systems. We may, for their

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Speaker 1: protection need to isolate especially from them, or if you

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Speaker 1: are in an environment where you might contract the disease,

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Speaker 1: you're going to have to add a love for them,

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Speaker 1: stay away from them. But those are people that you

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Speaker 1: would know within your family. And so it is, you know,

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Speaker 1: it's it's there's a way there. We're smart people, we

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Speaker 1: have good doctors, we have great protection, we have great manufacturers.

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Speaker 1: But there comes a point where we as a country

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Speaker 1: have to make the decision. And it is happening more

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Speaker 1: and more in other places around the country. I mean,

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Speaker 1: you can see it every single day. You see that Tennessee, Mississippi,

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Speaker 1: Montana reopening a lot of their businesses following the states

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Speaker 1: easing a coronavirus. You see Florida beaches are open for

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Speaker 1: people walking the exact I mean, it is a scandal

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Speaker 1: of monumental proportions where here in New York. And it

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Speaker 1: makes absolutely no sense to me why this directive came

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Speaker 1: down from Andrew Cuomo that nursing homes elderly care facilities

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Speaker 1: had to were mandated to take on COVID nineteen patients

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Speaker 1: when there was no need for it. We all watched

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Speaker 1: the Navy hospital ship Comfort. I don't even think they

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Speaker 1: got over one hundred or two hundred patients when it

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Speaker 1: had capacity for a thousand. So nobody really understands why

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Speaker 1: they weren't used. The same thing with the three thousand

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Speaker 1: bed hospital that was built by the President and the

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Speaker 1: Army Corps of Engineers then converted to COVID nineteen capabilities.

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Speaker 1: I mean, all of that was available to New York

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Speaker 1: and why you would force people back into nursing homes

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Speaker 1: is I don't even know. And I think the most

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Speaker 1: shocking thing had to be Andrew Cuomo's own words on this,

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Speaker 1: which really is causing him a lot of trouble in

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Speaker 1: New York is when asked about, well, why why did

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Speaker 1: you send COVID nineteen patients to elderly home facilities and

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Speaker 1: nursing homes. He says, well, well, we've been helping these

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Speaker 1: homes with p you know, PPE equipment, etc. But again,

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Speaker 1: it's not our job. But hang on a second. He was.

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Speaker 1: He was the guy that was saying it was the

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Speaker 1: federal government's job to give him everything the state had

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Speaker 1: not prepared for. And I'm like that that is not

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Speaker 1: going over well in any way, you know, it is

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Speaker 1: to me. You can't even make sense of it, especially

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Speaker 1: because the resources were there, the personnel, the hospitals, the equipment,

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Speaker 1: all of the safety, everything was done for the state

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Speaker 1: of New York for COVID nineteen patients. There was no

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Speaker 1: reason at all to send them back into the elderly community,

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Speaker 1: where they obviously were not prepared, because this is where

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Speaker 1: many of the deaths in New York took place, because

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Speaker 1: those are the people with pre existing conditions, those are

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Speaker 1: the elderly. And it even turned out that some of

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Speaker 1: the people that had come from hospitals had been treated

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Speaker 1: for COVID nineteen but mandated to go back to a

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Speaker 1: nursing home. Many of those people themselves, they lived, but

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Speaker 1: they infected in some cases entire hospital areas. I mean,

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Speaker 1: it was the magnitude of this. It is unbelievable. Now

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Speaker 1: you looked at the numbers we showed you last week.

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Speaker 1: Why did Ron de Santis do so well down in Florida?

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Speaker 1: Because early their focus was the protection of the older population.

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Speaker 1: They went to the villages early, they went to nursing

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Speaker 1: homes early. They put all of their resources into elderly

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Speaker 1: care facilities, and it turned out to be the right

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Speaker 1: rategy that saved a lot of people from contracting the

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Speaker 1: virus number one and number two from dying from the virus.

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Speaker 1: So we'll have to see, you know, how that all

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Speaker 1: falls out. The injrew for President Brigade, I think is

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Speaker 1: probably gonna calm down on a lot of different levels.

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Speaker 1: We saw some retaliation nursing home administrators who had complained

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Speaker 1: about Cuomo. One person said he had blood on his

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Speaker 1: hands anyway, because of the March twenty fifth executive order.

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Speaker 1: Now being threatened with retaliation, according to the New York Post,

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Speaker 1: and they're saying the governors launching a probe into whether

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Speaker 1: nursing homes are complying with safety orders related to coronavirus.

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Speaker 1: We're gonna undertake an investigation. We're like, Okay, here we go.

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Speaker 1: But researchers who ran New York State's findings, they say,

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Speaker 1: on the issue of hydroxy chloroquin in that study, this

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Speaker 1: was on CNN, are inconclusive. The dean of the University

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Speaker 1: of All, any school of public health. But again I

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Speaker 1: go back to I think doctor Wallace, there's no more

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Speaker 1: preeminent expert on hydroxy chloroquin. Although tens of millions of doses,

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Speaker 1: sixty five years, forty two years, four hundred peer reviewed

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Speaker 1: papers he's written, he's written the definitive book on lupa's treatment,

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Speaker 1: and all his many many forty two years in practice,

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Speaker 1: he's never had a patient and almost all of them

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Speaker 1: have or are on currently hydroxy chloroquin. No risk whatsoever

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Speaker 1: at all, no hospitalizations, and the recommended doses for corona.

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Speaker 1: Absolutely the risk is nil. His words, not mine. But

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Speaker 1: I guess everybody wants to politicize everything. Doctor Burks is

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Speaker 1: now predicting Corona deaths will drop dramatically over the next

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Speaker 1: thirty days. We have a lot percolating on the deep

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Speaker 1: state that we're going to get into in the course

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Speaker 1: of a number of days. Here one of the big

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Speaker 1: scandals that is really emerging here. Now. We've talked about

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Speaker 1: media a lot. We talk about the mob a lot.

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Speaker 1: We talk about how wrong they've been so often. We

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Speaker 1: talk about the media. They got it wrong on Russia.

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Speaker 1: Russia four separate investigations culminating Muller Report. We talk about

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Speaker 1: how they ignored Hillary Clinton's dirty dossier. We now know

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Speaker 1: the bulk of information, in fact unverifiable, even debunked, it

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Speaker 1: was used. They knew it was fake information then it

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Speaker 1: was likely Russian disinformation, but they used it anyway. It

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Speaker 1: is the biggest abuse of power corruption scandal in history.

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Speaker 1: We now see that John Durham, the prosecutor, is ramping

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Speaker 1: up his investigative efforts. And as the Attorney General bar

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Speaker 1: has pointed out, this is not something that is for

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Speaker 1: a report. It is, you know, to hold accountable those

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Speaker 1: people that have violated civil liberties. The faisas premeditated fraud

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Speaker 1: Bizer Court, and it looks like it's going way beyond

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Speaker 1: just spying in that aspect. As they said, there were

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Speaker 1: many paths that they seem to use for spying. We

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Speaker 1: now know the evidence against General Flynn was bs from

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Speaker 1: the beginning. The same with Papadopoulos. We now see the

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Speaker 1: single worst example of prosecutorial abuse in the case of

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Speaker 1: Roger Stone. And you know when your jury four person

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Speaker 1: had been writing about Roger Stone, apparently that didn't come

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Speaker 1: up in jury questionnaire forms and had an obvious stated

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Speaker 1: public bias against Roger Stone and the President. And that

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Speaker 1: case doesn't get thrown out, We've got a real problem

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Speaker 1: in our criminal justice system. So all of these items

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Speaker 1: are now percolating to the surface. And you know talk

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Speaker 1: of I guess a week or two ago, potential pardons

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Speaker 1: by the president. It'll be interesting to watch and see

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Speaker 1: what happens on that front. I want to get into

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Speaker 1: the issue of bias. We're gonna compare Aaron contrast. There

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Speaker 1: is a woman by the name of Tara Reid, and

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Speaker 1: Tara Reid has made allegations against Joe Biden. The medium mob,

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Speaker 1: the I believers, the Democratic Party are ignoring her. She

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Speaker 1: has corroborations, she has credibility. Nick Nolty sixteen reasons why

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Speaker 1: I believe Tara Reid. They are beyond compelling. Why is

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Speaker 1: it in every interview Joe Biden has had, nobody will

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Speaker 1: ask him the question, how is that even possible. It's

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Speaker 1: possible because that's who they are. They're an extension of

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Speaker 1: Biden's campaign. Is it a double standard? Yes? Is that

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Speaker 1: everything we've always known? Sadly yes too. Does the truth

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Speaker 1: ever matter? It should matter, but it doesn't. All right,

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Speaker 1: as we were all along Sean Hannity Show, eight hundred

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

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Speaker 1: part of the program. Simple questions. Here you have two

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Speaker 1: prominent female Democratic vice presidential front runners appearing on three

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Speaker 1: national political shows. None are asked about the explosive allegations

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Speaker 1: against their potential running mate, Joe Biden. On Friday, the

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Speaker 1: an episode from nineteen ninety three of Larry King Lives

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Speaker 1: resurfaced and it included a call of Tarror Reid. She

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Speaker 1: is the woman that has accused Biden of past sexual

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Speaker 1: assault while in the Senate. The call corroborates something that

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Speaker 1: happened to her daughter right along these fields, right right

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Speaker 1: along this timeline. There are now multiple people that have

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Speaker 1: come out and corroborated Tarror Read's story. And when you

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Speaker 1: look at the allegation of first resurfaced by the way

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Speaker 1: in the intercept. On March the twenty fourth, on a

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Speaker 1: podcast hosted by Helper, who then interviewed terror Read. She

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Speaker 1: was a senior staff member Joe Biden in nineteen ninety

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Speaker 1: three asked her to bring anyway. Joe Biden, allegation is

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Speaker 1: asked her to bring his Senate bag near the US

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Speaker 1: Capitol building, which led to the encounter. This is beyond

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Speaker 1: shocking what she says happen next. Now all the eye believers,

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Speaker 1: all the stormy, stormy stormy people, all of the Democrats

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Speaker 1: and their willing accomplices in the mob. They won't even

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Speaker 1: ask Joe the question how long can this stand? Right

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Speaker 1: twenty five till the top of the I I'm going

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Speaker 1: to get back to the story terror Read, the media,

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Speaker 1: the mob, the double standard. It is beyond breathtaking sad too,

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Speaker 1: but it is. There is a lot percolating as it

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Speaker 1: relates to our deep state, three year deep dive dig

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Speaker 1: into the big his corruption abuse of power scandal in history,

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Speaker 1: similarly ignored by the media mob that ended up being

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Speaker 1: wrong the entire time, but never get held accountable. The

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Speaker 1: issue is now the General Flynn, based on new evidence,

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Speaker 1: will be exonerated. In other words, that he'll be completely

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Speaker 1: exonerated and that the court concealed exculpatory evidence in his investigation.

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Speaker 1: We recently discovered that with Papanopoulos, and we now know

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Speaker 1: that the jury four person forget about free impartial juries

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Speaker 1: in America in the Stone case, had publicly trashed Roger

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Speaker 1: Stone on social media and trashed the president and all

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Speaker 1: the president's supporters. Anybody else would have had that case

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Speaker 1: thrown out now, also knowing that in the case of

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Speaker 1: Paul Manafort, even Michael Knell, I'm still kind of mad

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Speaker 1: at because he was never my attorney, but I'm letting

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Speaker 1: buy guns be by guns. But these cases never would

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Speaker 1: have arisen because they knew at the time that the

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Speaker 1: dirty dossier was dirty and unverifiable. They did it anyway,

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Speaker 1: which which would have meant none of this would have happened.

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Speaker 1: These cases had long been resolved, at least the case

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Speaker 1: of anaphort Um. I want to tell you about something

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Speaker 1: that um that I've been working on almost a year now.

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Speaker 1: I don't remember when I started, and I did it reluctantly,

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Speaker 1: and I did it, but now I'm I'm really glad

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Speaker 1: that I did. And we as a country, from my view,

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Speaker 1: are in a tipping point. In one hundred and ninety days.

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Speaker 1: This is not hyperbole to me, This is not m

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Speaker 1: I'm not pushing any envelopes here on purpose. This the

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Speaker 1: future of this great Republic is hanging in the balance.

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Speaker 1: In one hundred ninety days, I quoted what I'm about

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Speaker 1: to tell you freedom is but one generation away from extinction.

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Speaker 1: Those are the words of Ronald Reagan. And what I've

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Speaker 1: been working on is a definitive book on what is

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Speaker 1: at stake, what this country is facing, the choice, this

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Speaker 1: critical moment of history. I've been calling it at all

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Speaker 1: hands on deck moment to save this great Republic, so

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Speaker 1: many that have lived, sacrificed, and died. I never thought

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Speaker 1: we'd be discussing or debating a new green deal gets

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Speaker 1: rid of the lifeblood of the world's economy and that

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Speaker 1: everyone gets everything free, which are the promises of socialism,

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Speaker 1: the promises of Marxism and redistributionism and statism. It is

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Speaker 1: something that could never happen. I can't believe that that

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Speaker 1: has now taken over an entire party. Even though I

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Speaker 1: personally declared the media dead and buried journalism dead in

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Speaker 1: two thousand and seven, I didn't know how right I am.

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Speaker 1: This case involving Tara Reid who's making these I think

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Speaker 1: credible allegations against Joe Biden, and the media just ignores

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Speaker 1: it as another case in point. There are multiple fronts

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Speaker 1: on which this fight has got to take on because

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Speaker 1: you have an entire media mob establishment. They have chosen sides.

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Speaker 1: We know they've chosen sides. We know a Democratic Party

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Speaker 1: that has done nothing to advance your prosperity, your wealth,

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Speaker 1: your opportunity except to twenty four seven, three sixty five

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Speaker 1: fix eight on Donald Trump and hating Donald Trump. You know,

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Speaker 1: nothing stops them, everything that this president has gone through,

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Speaker 1: and in spite of it, you know, I will argue

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Speaker 1: that Donald Trump is not a hard person to figure

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Speaker 1: out at all because whatever he had been promising in

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Speaker 1: two thousand and seven, I'm sorry, fifteen twenty sixteen, he's

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Speaker 1: kept his promises. And this is what this election is

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Speaker 1: all about. So for pretty close to a year, I

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Speaker 1: was I can't explain why I have this mysterious reluctance

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Speaker 1: in me, because it's hard. I admire writers a lot

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Speaker 1: because it's hard. I prefer to come on a radio

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Speaker 1: program live like this one speak. I can't edit, I

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Speaker 1: don't have to polish it. I don't have to send it.

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Speaker 1: I don't have to prime it and then send it

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Speaker 1: again and then and then you know, get the proper

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Speaker 1: quote on top to make it perfect. But I decided,

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Speaker 1: for the first time in ten years, i'd not written

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Speaker 1: a book, and I decided that some time ago that

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Speaker 1: I'm going to do this, and I've been working on

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Speaker 1: it ever since, and events have have shifted and changed

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Speaker 1: the timeline in terms of the books released till later

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Speaker 1: this summer, because I want to make sure that everything

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Speaker 1: that we've been now living through is also included in

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Speaker 1: this and it adds a lot in so many different ways.

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Speaker 1: But I also want to give giving a concise ideological

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Speaker 1: history of freedom, of this republic of liberty, to demonstrate

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Speaker 1: how we've been given the greatest gift that God's ever

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Speaker 1: given man. I say it all the time, Barry Farber,

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Speaker 1: There's never been a country in the history of man

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Speaker 1: that has accumulated more power and abused it less than

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Speaker 1: the United States. And I add there's been no country

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Speaker 1: in the history of mankind that has accumulated more power

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Speaker 1: and used it to advance the human condition more than

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Speaker 1: the United States. Free market capitalism has been has created

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Speaker 1: that opportunity that everybody has benefited under. We have watched

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Speaker 1: historically great republics crash and burn if we go down

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Speaker 1: the road of where the democratic extreme radical Socialist Party

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Speaker 1: wants to take us, with state run media propping them

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Speaker 1: up the whole way. It is not something I think

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Speaker 1: as a country we can ever recover from. I believe

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Speaker 1: it with all my heart, my mind, and my soul,

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Speaker 1: and so I decided to put it in writing so

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Speaker 1: you can look at it, you can read it, you

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Speaker 1: can study it, you can share it and lay out

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Speaker 1: the case the book. We're just showing it now for

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Speaker 1: the first time, and some have speculated that I might

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Speaker 1: be in blah blah blah. There's always somebody that leaks something.

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Speaker 1: The book is called Live Free or Die America and

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Speaker 1: the World on the brink. That's it, and then I

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Speaker 1: have it in Latin. Live Free or America Dies. This

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Speaker 1: is what is at stake to me. In one hundred

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Speaker 1: and ninety days. I have a great partnership with Simon

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Speaker 1: and Schuster, and the cover is complete. It's on Hannity

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Speaker 1: dot com. I'll let you know more about it in

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Speaker 1: the days and weeks ahead. It has been the hardest

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Speaker 1: job short of this job and my regular jobs that

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Speaker 1: have ever had. And Linda, you're laughing, why are you laughing? No,

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Speaker 1: I mean it's it's a labor of love. I mean

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Speaker 1: you've been talking about this for a while. I mean,

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Speaker 1: I know when we did Conservative victory back in twenty ten,

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Speaker 1: I mean it was nineteen cities and three weeks, you know,

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Speaker 1: and obviously with what's happening with COVID and post COVID,

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Speaker 1: I don't know how that's all going to work out.

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Speaker 1: But we we're looking forward to seeing people on the

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Speaker 1: road and hopefully getting the word out change the trajectory

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Speaker 1: obviously of the entire year, and obviously took on a

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Speaker 1: new area of importance in the book as well. But anyway,

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Speaker 1: but wait, you know, just so, but I love I

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Speaker 1: love listened. I mean we've gone through this. I mean

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Speaker 1: you showed us, you know, what should we call it?

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Speaker 1: What should the name be? What? You know, how should

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Speaker 1: the flag look? I was leaning very very close to

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Speaker 1: live for your American guys, because that's what I feel

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Speaker 1: it is. And a lot of people didn't like that.

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Speaker 1: That's why I put it in Latin so nobody can

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Speaker 1: read it. But I mean, I mean, listen, it's it's important.

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Speaker 1: This is you know, this is your book. This is

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Speaker 1: you know, after thirty years of doing this and being

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Speaker 1: around the country and talking to Americans every single day

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Speaker 1: and listening to them. Um, and I think you know,

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Speaker 1: the cool thing about it is that you know your

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Speaker 1: your book is sort of a collection of all these thoughts.

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Speaker 1: Some of them you get to, some of them be

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Speaker 1: don't every day. You know, even with four hours, there's

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Speaker 1: just so much to cover. But you know, for from

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Speaker 1: the administrative side, if you guys want to check it

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Speaker 1: out in the audience, it's Sean Hance audience dot com.

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Speaker 1: How's that it's on handity dot com, but also Sean

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Speaker 1: Hannity book dot com. Um. We'll talk more about it

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Speaker 1: as the days go forward. But um, I'm I'm proud

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Speaker 1: of this fact. I've had some friends of mine, very few,

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Speaker 1: that I have been showing things that you know, passages,

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Speaker 1: chapters and things that I've been writing, getting input from friends.

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Speaker 1: Linda has seen some of it. And it's it's a

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Speaker 1: lot of work to do a book. I can tell

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Speaker 1: you that. I don't think people realize how much work

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Speaker 1: it is. Because so much work for ten years I'd

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Speaker 1: swore I'd never do it again, but I mean it

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Speaker 1: just the moment calls for it. It is I've never

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Speaker 1: lived through this time. And I you know, Sean, when

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Speaker 1: we went on that first tour, I'd only been with

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Speaker 1: you for about five years, and I was like, oh

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Speaker 1: my god, this is like a whole beast. I mean,

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Speaker 1: we did TV radio from the road, from the cities,

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Speaker 1: all the book signings. It was incredible, and I mean

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Speaker 1: I was like, you want to do this again. I'm like, okay, yeah,

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Speaker 1: So I think there has to be a definitive case. Um,

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Speaker 1: I'll let you know more about it. A lot of

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Speaker 1: it we're talking about, and some of it maybe even

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Speaker 1: the events that will ultimately shape the election. Maybe on

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Speaker 1: holding now, you know, I watched all weekend. I've been watching,

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Speaker 1: and I've been watching and I've been watching. It was

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Speaker 1: a great piece on foxnews dot Com. So the allegations

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Speaker 1: that are made by Tara Reid, and I can say

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Speaker 1: this that I did have a brief, I did have

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Speaker 1: a phone call with her, I will not devolves the

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Speaker 1: contents of it. There was a great piece by Nick

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Speaker 1: Nolty out there that you know, they're all the reasons

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Speaker 1: why he believes it. You got to give props to

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Speaker 1: the intercept and Glenn Greenwald, even our old friend Brian

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Speaker 1: Grimm has been all over this, and I think they've

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Speaker 1: been looking at it from a lot of different angles.

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Speaker 1: And I think the fact that they were able to

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Speaker 1: find this tape so she makes it. But to have

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Speaker 1: every single Democratic vice presidential front runner, female Democratic vice

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Speaker 1: presidential front runner all over three national political shows over

428
00:26:51,160 --> 00:26:54,040
Speaker 1: the weekend and then not asked a single question about it,

429
00:26:54,480 --> 00:26:57,600
Speaker 1: all these interviews with fake news CNN and the rest

430
00:26:57,600 --> 00:26:59,520
Speaker 1: of them, they don't ask a question about it. And

431
00:26:59,520 --> 00:27:01,600
Speaker 1: when you can pair of the timeline and all the

432
00:27:01,680 --> 00:27:05,840
Speaker 1: eye believers, where were they in asking the question about this?

433
00:27:06,240 --> 00:27:10,600
Speaker 1: There is Listen to this call from nineteen ninety three.

434
00:27:10,840 --> 00:27:15,200
Speaker 1: This is Tara Reid's mother more corroboration. She has friends

435
00:27:15,240 --> 00:27:18,560
Speaker 1: she told that the time that have gone on record

436
00:27:19,200 --> 00:27:22,560
Speaker 1: saying this is what she said at the time, and

437
00:27:22,680 --> 00:27:26,480
Speaker 1: her mother wanted her to tell the story obviously based

438
00:27:26,480 --> 00:27:31,200
Speaker 1: on this call. Listen San Luisa Bispo, California. Hello, Yes, Hello,

439
00:27:32,200 --> 00:27:37,760
Speaker 1: I'm wondering what a staffer would to do besides go

440
00:27:37,880 --> 00:27:40,720
Speaker 1: to the press in Washington. My daughter has just left

441
00:27:40,760 --> 00:27:43,639
Speaker 1: there after working for a prominent senator and could not

442
00:27:43,720 --> 00:27:46,200
Speaker 1: get through with her problems at all, And the only

443
00:27:46,200 --> 00:27:48,560
Speaker 1: thing she could have done was go to the press,

444
00:27:48,640 --> 00:27:50,320
Speaker 1: and she chose not to do it out of respect

445
00:27:50,320 --> 00:27:52,520
Speaker 1: for him, or she had a story to tell, but

446
00:27:52,600 --> 00:27:54,760
Speaker 1: out of respect for the person she worked for, she

447
00:27:54,800 --> 00:27:57,240
Speaker 1: didn't tell it. That's true. Well, but these are the

448
00:27:57,240 --> 00:27:59,359
Speaker 1: people who do come to the lowest romanos right, the

449
00:27:59,440 --> 00:28:01,240
Speaker 1: staff work who says, I want to let you know

450
00:28:01,280 --> 00:28:09,760
Speaker 1: about what's going on now, CNN fake Jake Tapper, George Stephanopolis,

451
00:28:09,840 --> 00:28:14,320
Speaker 1: Chuck Todd. They fail to ask any of Joe Biden's

452
00:28:14,480 --> 00:28:18,879
Speaker 1: named potential running mates about the assault sexual assault allegation

453
00:28:20,080 --> 00:28:23,760
Speaker 1: against Joe Biden. He's running for president. Now, if you

454
00:28:23,840 --> 00:28:26,240
Speaker 1: think that Donald Trump would be treated the same way,

455
00:28:26,280 --> 00:28:29,080
Speaker 1: you know better than that. You know, the only thing

456
00:28:29,160 --> 00:28:32,119
Speaker 1: you got from the Biden campaign generally is oh, that's false.

457
00:28:32,800 --> 00:28:36,360
Speaker 1: It's sort of like the protection program for Hillary or Biden.

458
00:28:36,920 --> 00:28:40,520
Speaker 1: You know, everyone cares about obstruction of justice and Russia.

459
00:28:40,600 --> 00:28:43,600
Speaker 1: But Hillary paid for a dirty Russian dossier that even

460
00:28:43,640 --> 00:28:46,920
Speaker 1: the New York Times, as sleazy as they are, you know,

461
00:28:47,200 --> 00:28:51,440
Speaker 1: recognized was likely Russian disinformation from the beginning, she deletes

462
00:28:51,480 --> 00:28:54,560
Speaker 1: all of her emails that are subpoenad bleach bit you know,

463
00:28:54,680 --> 00:28:58,640
Speaker 1: then the hammers and devices and sim cards. This surfaces

464
00:28:58,680 --> 00:29:01,800
Speaker 1: in this interview, in the in the with the intercept

465
00:29:01,800 --> 00:29:05,840
Speaker 1: and a podcast. It's out there, we're reading it, we

466
00:29:06,040 --> 00:29:10,800
Speaker 1: see it, and it's really, you know, graphic, and this

467
00:29:10,920 --> 00:29:16,680
Speaker 1: is a full on sexual assault. This is not a kiss.

468
00:29:16,720 --> 00:29:22,600
Speaker 1: There's no ambiguity, nothing, And obviously hearing that tape and

469
00:29:22,720 --> 00:29:25,200
Speaker 1: knowing that her friends have gone on the record from

470
00:29:25,280 --> 00:29:28,600
Speaker 1: at the time, knowing if you compare that to the

471
00:29:28,640 --> 00:29:32,360
Speaker 1: media coverage of Brett Kavanaugh, or the media coverage of

472
00:29:32,440 --> 00:29:38,000
Speaker 1: Donald Trump and Stormy and Karen McDougall and everything else

473
00:29:38,040 --> 00:29:43,760
Speaker 1: that they brought up for it is breathtaking hypocrisy and

474
00:29:43,880 --> 00:29:47,880
Speaker 1: it is agenda driven. And if this does improve the

475
00:29:47,920 --> 00:29:51,520
Speaker 1: media has a bias, I don't know what does. And

476
00:29:51,600 --> 00:29:54,280
Speaker 1: I think, like I've been saying, I want every Democrat

477
00:29:54,320 --> 00:30:00,720
Speaker 1: and everybody in the media in retrospect was Donald Trump's xenophobic, racist, hysterical,

478
00:30:00,920 --> 00:30:05,840
Speaker 1: fear mongering travel ban on January thirty first, A good idea.

479
00:30:06,120 --> 00:30:09,400
Speaker 1: Did Donald Trump do anything right by building all these

480
00:30:09,440 --> 00:30:11,960
Speaker 1: hospitals and getting the ventilators and the gowns and the

481
00:30:12,080 --> 00:30:16,120
Speaker 1: masks and the respirators. I'd like to also ask them

482
00:30:16,160 --> 00:30:20,920
Speaker 1: this question, Why isn't anyone in the media have the

483
00:30:21,000 --> 00:30:25,120
Speaker 1: courage to ask anybody about this? Nancy Pelosi endorsing Biden today,

484
00:30:25,800 --> 00:30:29,520
Speaker 1: just dismiss it. This isn't about politics or anything else.

485
00:30:29,840 --> 00:30:34,040
Speaker 1: What you know, when she was talking about Cavanaugh the

486
00:30:34,160 --> 00:30:37,840
Speaker 1: New York Times, it is out there No other allegation

487
00:30:37,920 --> 00:30:40,840
Speaker 1: about sexual assault surfaced in the course of our reporting,

488
00:30:40,880 --> 00:30:45,120
Speaker 1: Nor did any former Biden staff corroborate Read's allegation, because

489
00:30:45,160 --> 00:30:49,520
Speaker 1: they agreed to whatever changes the Biden campaign demanded on them.

490
00:30:50,360 --> 00:30:52,680
Speaker 1: And it's the same thing with the Washington Post, and

491
00:30:52,720 --> 00:30:56,760
Speaker 1: it's the same thing with everybody else. The only one

492
00:30:56,880 --> 00:31:00,720
Speaker 1: person I see that was consistent because remember it was

493
00:31:00,760 --> 00:31:03,719
Speaker 1: I believe, I believe, I believe, I believe. How about

494
00:31:03,760 --> 00:31:07,400
Speaker 1: the presumption of innocence? And I said at the time, Chrissy,

495
00:31:08,240 --> 00:31:11,960
Speaker 1: Professor Chrissy Ford, should be okay, let's listen to it.

496
00:31:12,320 --> 00:31:14,959
Speaker 1: And you had Julie sweatneck. And they lined up almost

497
00:31:14,960 --> 00:31:17,800
Speaker 1: every other weekend, and they spiked the punch, and the

498
00:31:17,840 --> 00:31:19,560
Speaker 1: boys lined up in the halls, and there was a

499
00:31:19,600 --> 00:31:23,760
Speaker 1: gang rape. They went with that and that was debunked,

500
00:31:25,120 --> 00:31:29,600
Speaker 1: but they don't care. Do you think your media is fair, balanced,

501
00:31:29,680 --> 00:31:34,160
Speaker 1: objective or are they agenda driven basically an extension of

502
00:31:34,560 --> 00:31:39,200
Speaker 1: all things radical socialist Democratic Party? The answers obvious. Even

503
00:31:39,280 --> 00:31:41,800
Speaker 1: Anderson Cooper CNN, Why didn't he ask the question? Just

504
00:31:41,800 --> 00:31:44,600
Speaker 1: to ask the question? All right, hour to Sean Hannity's show,

505
00:31:44,600 --> 00:31:48,000
Speaker 1: By the way, the media bias, How is it possible

506
00:31:48,280 --> 00:31:51,800
Speaker 1: that you have these allegations hanging out there for Joe

507
00:31:51,840 --> 00:31:55,760
Speaker 1: Biden and all these female Democratic vice presidential front runners.

508
00:31:55,760 --> 00:31:59,640
Speaker 1: They're on three national political shows Sunday, none are asked

509
00:31:59,720 --> 00:32:03,120
Speaker 1: of the explosive allegations. I'm gonna tell you how this

510
00:32:03,200 --> 00:32:06,120
Speaker 1: is gonna unfold. And I think Greenwald was right in

511
00:32:06,160 --> 00:32:08,960
Speaker 1: the intercept. This is not going to go away. They're

512
00:32:09,040 --> 00:32:11,640
Speaker 1: to mob in the media. They've tried to ignore and

513
00:32:11,720 --> 00:32:15,560
Speaker 1: protect and ignore and protect and protect and ignore there

514
00:32:15,560 --> 00:32:20,280
Speaker 1: it's not gonna happen. You don't get to treat Justice

515
00:32:20,360 --> 00:32:24,240
Speaker 1: Cavanaugh one way and then because it's Joe Biden, you

516
00:32:24,320 --> 00:32:27,080
Speaker 1: treat somebody an entirely different way. You just totally ignore it.

517
00:32:27,160 --> 00:32:29,560
Speaker 1: Sort of I quid pro quo Joe and you're not

518
00:32:29,640 --> 00:32:34,000
Speaker 1: getting the billion unless you fire the prosecutor investigating my

519
00:32:34,080 --> 00:32:37,400
Speaker 1: zero experience on being paid millions. Oh, there's no story there,

520
00:32:37,480 --> 00:32:40,000
Speaker 1: No credible person ever asked the question, and they let

521
00:32:40,080 --> 00:32:42,400
Speaker 1: them get away with that, and they're trying to let

522
00:32:42,400 --> 00:32:45,720
Speaker 1: that happen here. Joe Conscha will weigh in on all

523
00:32:45,760 --> 00:32:50,080
Speaker 1: of that. As the country now struggles how to safely

524
00:32:51,080 --> 00:32:54,920
Speaker 1: reopen America. We are making progress. A lot of states

525
00:32:54,920 --> 00:32:56,760
Speaker 1: are doing it, and it's very interesting. And I said

526
00:32:56,760 --> 00:32:59,600
Speaker 1: this in the last hour. So I go shopping. My

527
00:32:59,680 --> 00:33:03,680
Speaker 1: local grocery store happens to be stopping shop in case

528
00:33:03,720 --> 00:33:06,800
Speaker 1: any of you are interested, And I go there, and

529
00:33:07,080 --> 00:33:11,200
Speaker 1: every single solitary time i'm there, there's a young man

530
00:33:11,320 --> 00:33:14,360
Speaker 1: that I didn't know until recently, a couple of weeks ago.

531
00:33:14,480 --> 00:33:16,240
Speaker 1: Number of weeks ago. It was a fan of mine.

532
00:33:16,240 --> 00:33:18,600
Speaker 1: I see him every week and we talk how you doing.

533
00:33:18,680 --> 00:33:21,120
Speaker 1: He's always in his mask, always in his gloves, and

534
00:33:21,280 --> 00:33:24,760
Speaker 1: New York wouldn't have survived but for the fact that

535
00:33:24,920 --> 00:33:28,640
Speaker 1: people like him, you know, didn't need to reopen because

536
00:33:28,680 --> 00:33:32,000
Speaker 1: he was there every single day stocking the shelves. There

537
00:33:32,080 --> 00:33:35,880
Speaker 1: was never a shortage of any food in any grocery store.

538
00:33:35,920 --> 00:33:39,760
Speaker 1: I went to only a shortage of paper towels and

539
00:33:40,240 --> 00:33:43,080
Speaker 1: of toilet paper. They even had Campbell's Chicken Noodle soup

540
00:33:43,160 --> 00:33:46,240
Speaker 1: in stock yesterday, which made me very happy. It's my staple.

541
00:33:48,000 --> 00:33:52,040
Speaker 1: They were there every day. If we shut down the

542
00:33:52,120 --> 00:33:57,080
Speaker 1: manufacturers of all the medical equipment needed for these medical heroes,

543
00:33:57,320 --> 00:34:02,480
Speaker 1: we wouldn't have had ventilators, respire raiders, mask gloves, shields,

544
00:34:03,320 --> 00:34:08,319
Speaker 1: gowns or anything. They stayed open. Now the question is

545
00:34:08,480 --> 00:34:11,359
Speaker 1: if if somebody can work in a pharmacy in New

546
00:34:11,440 --> 00:34:16,400
Speaker 1: York peak week, ground zero, the Epicenter and do it

547
00:34:16,520 --> 00:34:21,759
Speaker 1: safely with mask, gloves, purell washing, etc. Why is it

548
00:34:22,080 --> 00:34:26,359
Speaker 1: that we can't open a lot of other places for business. Now.

549
00:34:26,360 --> 00:34:28,960
Speaker 1: You see what's happening in California. The beaches were mobbed

550
00:34:29,040 --> 00:34:32,640
Speaker 1: hunting in Beach, California this weekend. Lifeguards, police, you know,

551
00:34:32,960 --> 00:34:35,799
Speaker 1: try to you know, create more social distancing. People had

552
00:34:35,880 --> 00:34:39,279
Speaker 1: had it now. I'd recommend people wear gloves, especially in

553
00:34:39,320 --> 00:34:42,759
Speaker 1: New York, these high areas of concentration of people. But

554
00:34:42,800 --> 00:34:46,640
Speaker 1: I've given my plan to open New York open outdoor stadiums.

555
00:34:47,120 --> 00:34:49,879
Speaker 1: I talked a lot to Randy Levina, the Yankees he's

556
00:34:49,920 --> 00:34:53,160
Speaker 1: willing to give temperature checks not invasive. He's willing to

557
00:34:53,239 --> 00:34:57,839
Speaker 1: make up masks Yankee masks. He's willing to make sure

558
00:34:57,960 --> 00:35:00,399
Speaker 1: that people have to wear the mask us to come

559
00:35:00,440 --> 00:35:03,560
Speaker 1: and watch the game. And can we do it? Bigger

560
00:35:03,640 --> 00:35:06,000
Speaker 1: challenges obviously, bars, I don't know how you do that.

561
00:35:06,400 --> 00:35:11,400
Speaker 1: I don't have any answers. Restaurants another more difficult closed

562
00:35:11,440 --> 00:35:14,960
Speaker 1: in It's harder anyway, doctor Oz, our medical late team

563
00:35:15,040 --> 00:35:17,799
Speaker 1: is back with us. How are you, sir? I'm doing well.

564
00:35:18,080 --> 00:35:19,800
Speaker 1: You know to that point, we don't have to answer

565
00:35:20,000 --> 00:35:23,080
Speaker 1: all those latter questions now because we'll be informed by

566
00:35:23,200 --> 00:35:25,360
Speaker 1: the real life experience we Yet, I think a lot

567
00:35:25,400 --> 00:35:28,120
Speaker 1: of people think about the idea of opening up their

568
00:35:28,160 --> 00:35:31,360
Speaker 1: state as a light switch, and the better metaphors a dimmer.

569
00:35:31,400 --> 00:35:34,080
Speaker 1: You want to slowly open it up, allow everyone to

570
00:35:34,080 --> 00:35:36,839
Speaker 1: sort of catch up, both emotionally as the public, because

571
00:35:36,840 --> 00:35:38,080
Speaker 1: they're not going to go if you open it up

572
00:35:38,080 --> 00:35:39,880
Speaker 1: and you know it's not ready, you're not going to

573
00:35:39,960 --> 00:35:41,960
Speaker 1: trust it, so they're smartly going to stay away. But

574
00:35:42,000 --> 00:35:44,399
Speaker 1: more important, equally important, I should say, you want public

575
00:35:44,440 --> 00:35:46,920
Speaker 1: health officials to gather data so they can educate everybody

576
00:35:46,960 --> 00:35:48,680
Speaker 1: about how safe it is or not, so we can

577
00:35:48,680 --> 00:35:52,080
Speaker 1: pull back if we need to. Okay, you actually did

578
00:35:52,120 --> 00:35:55,520
Speaker 1: something which I think was brilliant, and he was especially

579
00:35:55,520 --> 00:35:58,040
Speaker 1: looking at how to open a restaurant, and you talked

580
00:35:58,080 --> 00:36:01,719
Speaker 1: about a restaurant in China. Three families had dined back

581
00:36:01,719 --> 00:36:05,479
Speaker 1: in January, and you had one table, table A, which

582
00:36:05,520 --> 00:36:08,960
Speaker 1: was yellow. They had COVID nineteen, didn't have any symptoms.

583
00:36:09,480 --> 00:36:13,160
Speaker 1: And then the people surrounding table A tell us what happened.

584
00:36:13,920 --> 00:36:15,440
Speaker 1: I love that you watched the show. I mean, I

585
00:36:15,520 --> 00:36:19,640
Speaker 1: tell you sorry, I'm as bad as you and I

586
00:36:19,640 --> 00:36:23,359
Speaker 1: don't sleep. It's so much fun. So I fare at

587
00:36:23,400 --> 00:36:25,400
Speaker 1: the time on this story because you learn a lot

588
00:36:25,440 --> 00:36:27,400
Speaker 1: from real left experience of likeness. And I had in

589
00:36:27,560 --> 00:36:30,000
Speaker 1: lift in the famous virus Hunter on the show talking

590
00:36:30,040 --> 00:36:33,279
Speaker 1: through you know what happened and what it teaches us.

591
00:36:33,280 --> 00:36:37,400
Speaker 1: So essentially, a person sat in between two other families.

592
00:36:37,640 --> 00:36:39,799
Speaker 1: So in theory, if they were breathing and the air

593
00:36:39,800 --> 00:36:41,960
Speaker 1: conditioning was coming at them from one side, it would

594
00:36:42,000 --> 00:36:45,680
Speaker 1: have protected the downwind or upwind family and hurt the

595
00:36:45,719 --> 00:36:48,640
Speaker 1: downwind family. What turns out, everyone got sick. So what

596
00:36:48,680 --> 00:36:50,840
Speaker 1: that means is the virus is being bounced around the

597
00:36:51,120 --> 00:36:54,800
Speaker 1: closed space. There was a basement restaurant not been elated,

598
00:36:54,920 --> 00:36:56,719
Speaker 1: so and then you put a fan in there basically right,

599
00:36:56,760 --> 00:36:58,799
Speaker 1: and you're just blowing around whatever viruses in the air.

600
00:36:58,840 --> 00:37:01,080
Speaker 1: So you know, that's like the worst case scenario. We can,

601
00:37:01,120 --> 00:37:03,200
Speaker 1: of course do much much better than that. So I

602
00:37:03,239 --> 00:37:05,359
Speaker 1: was raising the thought with doctor Lipken, you know, how

603
00:37:05,360 --> 00:37:09,359
Speaker 1: do we get more clever in preparing because one day

604
00:37:09,400 --> 00:37:11,399
Speaker 1: it's going to be the time for a not well

605
00:37:11,480 --> 00:37:13,239
Speaker 1: ventilated restaurant to open, and what are they going to

606
00:37:13,280 --> 00:37:15,319
Speaker 1: do to make sure everyone's safe. So a couple of things.

607
00:37:15,320 --> 00:37:19,480
Speaker 1: There's obviously you could use different kinds of lights theoretically

608
00:37:19,640 --> 00:37:21,200
Speaker 1: that have been studied. There's nice you know, there are

609
00:37:21,200 --> 00:37:24,960
Speaker 1: a bunch of articles about about the impact on viruses theoretically.

610
00:37:25,000 --> 00:37:27,080
Speaker 1: Equal course, okay, we have proved that actually works in

611
00:37:27,080 --> 00:37:28,880
Speaker 1: a restaurant. You might not want to have fans and

612
00:37:29,000 --> 00:37:32,360
Speaker 1: ventilated areas. You want to have everything better ventilated. So

613
00:37:32,360 --> 00:37:34,279
Speaker 1: these will become opportunities. And of course there's an issue

614
00:37:34,280 --> 00:37:35,960
Speaker 1: how do you test people at the door so they

615
00:37:36,000 --> 00:37:37,759
Speaker 1: never get in the restaurant in the first place. Lots

616
00:37:37,760 --> 00:37:42,520
Speaker 1: of opportunities, But restaurants need advice because they're also going

617
00:37:42,560 --> 00:37:45,040
Speaker 1: to be suffering until we not only open them, but

618
00:37:45,120 --> 00:37:48,560
Speaker 1: more importantly make sure they're safe. Okay, So but I

619
00:37:48,960 --> 00:37:51,160
Speaker 1: do think and am I wrong? Am I thinking that?

620
00:37:51,880 --> 00:37:55,440
Speaker 1: For example, I think teleworking is going to be the future,

621
00:37:55,560 --> 00:37:58,720
Speaker 1: like telemedicine. And tell me if you agree on telemedicine.

622
00:37:59,320 --> 00:38:02,040
Speaker 1: If people will have twenty four to seven as part

623
00:38:02,080 --> 00:38:05,760
Speaker 1: of any healthcare plan, the ability twenty four to seven

624
00:38:05,960 --> 00:38:09,480
Speaker 1: three sixty five to call up their particular and sure

625
00:38:09,880 --> 00:38:13,640
Speaker 1: and get a doctor that's live, that's available, ask questions

626
00:38:13,680 --> 00:38:16,399
Speaker 1: my son, my daughter as the croup should I take

627
00:38:16,400 --> 00:38:19,240
Speaker 1: into the emergency room or what should I do? Okay,

628
00:38:19,360 --> 00:38:23,759
Speaker 1: we could probably I'm guessing lower emergency room visits by

629
00:38:23,920 --> 00:38:27,600
Speaker 1: a third minimum because the doctor will say, okay, here,

630
00:38:27,800 --> 00:38:31,160
Speaker 1: put some steam, put on a steam shower, do this, this, this,

631
00:38:31,239 --> 00:38:34,239
Speaker 1: and this, and call me back in an hour. Tell

632
00:38:34,280 --> 00:38:36,920
Speaker 1: a working I think employees are now gonna love it.

633
00:38:37,000 --> 00:38:39,160
Speaker 1: I think that's going to be the future. I think

634
00:38:39,160 --> 00:38:43,560
Speaker 1: they'll love the flexibility, the more open spaces, saving on taxes.

635
00:38:43,840 --> 00:38:45,920
Speaker 1: I think businesses will realize they don't have to pay

636
00:38:46,000 --> 00:38:48,160
Speaker 1: high rents. They can have people working from home that's

637
00:38:48,200 --> 00:38:52,279
Speaker 1: pretty much rent free for them, and keep productivity up

638
00:38:52,280 --> 00:38:55,080
Speaker 1: and zoom meetings will be the future. So if you

639
00:38:55,200 --> 00:38:57,719
Speaker 1: keep half a New York workers home, everyone gets a

640
00:38:57,800 --> 00:39:01,400
Speaker 1: temperature check, everyone wears gloves and masks in the workplace

641
00:39:01,640 --> 00:39:04,359
Speaker 1: more socially distance based on half the work for us home,

642
00:39:04,680 --> 00:39:06,640
Speaker 1: can you do that successfully? And how soon can you

643
00:39:06,680 --> 00:39:09,839
Speaker 1: start it? But it's already started. It's happening because of

644
00:39:09,840 --> 00:39:11,880
Speaker 1: this past six weeks of shutdown and a lot of

645
00:39:11,880 --> 00:39:14,400
Speaker 1: people who are listening right now are still making a living.

646
00:39:15,080 --> 00:39:18,280
Speaker 1: You dealing with sometimes adverse situations, but oftentimes they figured

647
00:39:18,280 --> 00:39:20,560
Speaker 1: it out and they've got it. They've gotten rid of

648
00:39:20,600 --> 00:39:23,040
Speaker 1: their commute. The average American I was spending about an

649
00:39:23,040 --> 00:39:25,799
Speaker 1: hour commuting a day, so that saves time. You also

650
00:39:25,800 --> 00:39:27,960
Speaker 1: have the flexibility of popping in that in ten minutes

651
00:39:28,000 --> 00:39:30,000
Speaker 1: with someone you want to see in your family that

652
00:39:30,000 --> 00:39:32,080
Speaker 1: you probably wouldn't have seen if you were away at work.

653
00:39:32,600 --> 00:39:35,080
Speaker 1: The rents a big issue, and I've seen this in

654
00:39:35,120 --> 00:39:39,360
Speaker 1: other industries as but telemetacy brought particular. It's beautiful for

655
00:39:39,400 --> 00:39:43,440
Speaker 1: two reasons. One, doctors have perishable inventory, which means, you know,

656
00:39:43,600 --> 00:39:46,040
Speaker 1: we finished our day job, let's say at four, but

657
00:39:46,160 --> 00:39:48,120
Speaker 1: you have two more hours of paces. You could see,

658
00:39:48,120 --> 00:39:49,560
Speaker 1: but you didn't know you'd be done at four because

659
00:39:49,560 --> 00:39:51,719
Speaker 1: you can never tell. So what if you could use

660
00:39:51,760 --> 00:39:53,600
Speaker 1: that time to help someone across the countries in a

661
00:39:53,640 --> 00:39:56,279
Speaker 1: different time zone. We've already seen this in radiology. It

662
00:39:56,280 --> 00:39:58,880
Speaker 1: could take place in more basic practices and a lot

663
00:39:58,920 --> 00:40:00,960
Speaker 1: of times the advice, it's your point is, hey, listen,

664
00:40:01,080 --> 00:40:03,080
Speaker 1: we don't there's nothing going around right now. So I

665
00:40:03,120 --> 00:40:05,719
Speaker 1: already know that I'm not that worried about what you're describing.

666
00:40:05,920 --> 00:40:07,839
Speaker 1: So let me just you know, to do this, do that,

667
00:40:07,960 --> 00:40:09,920
Speaker 1: and then based on those questions, I can tell you

668
00:40:09,920 --> 00:40:11,200
Speaker 1: what I would have told you if you came to

669
00:40:11,239 --> 00:40:13,560
Speaker 1: my office without the risk of coming to my office

670
00:40:13,800 --> 00:40:17,200
Speaker 1: and infecting my patients or you getting infection over somebody else.

671
00:40:18,160 --> 00:40:20,360
Speaker 1: So if I need a Z pack, let's say you

672
00:40:20,719 --> 00:40:23,040
Speaker 1: I tell the medicine with you, and I say, okay,

673
00:40:23,120 --> 00:40:25,040
Speaker 1: I got this, this, this, and this. You know what's

674
00:40:25,080 --> 00:40:27,839
Speaker 1: going around, and I need a Z pack. I don't

675
00:40:27,840 --> 00:40:29,920
Speaker 1: have to go see you next time to see to

676
00:40:30,239 --> 00:40:32,960
Speaker 1: get a prescription called incorrect. Or if I need bloods

677
00:40:32,960 --> 00:40:34,560
Speaker 1: take and you want to look at my bloods before

678
00:40:34,560 --> 00:40:36,640
Speaker 1: you talk to me, well you sent me to lab

679
00:40:36,719 --> 00:40:39,000
Speaker 1: corps or quest and I get my bloods done, you

680
00:40:39,040 --> 00:40:41,359
Speaker 1: get to read the bloods, and we go from there.

681
00:40:42,120 --> 00:40:44,800
Speaker 1: Exactly when I'll see when it's opportunity as opposed to

682
00:40:44,840 --> 00:40:47,279
Speaker 1: see you order the bloods. You get the bloods two

683
00:40:47,320 --> 00:40:48,759
Speaker 1: days later. Now I got to call you up and

684
00:40:48,960 --> 00:40:52,520
Speaker 1: we're playing tag as we try to can pleach your care.

685
00:40:52,680 --> 00:40:55,400
Speaker 1: It just seems a step. It should have happened earlier.

686
00:40:55,480 --> 00:40:58,799
Speaker 1: It was already happening slowly. This just accelerated, And of

687
00:40:58,840 --> 00:41:01,359
Speaker 1: course it's a lot than you'd expect. Once you've done

688
00:41:01,400 --> 00:41:03,600
Speaker 1: it once or twice, it all becomes the norm. So

689
00:41:03,640 --> 00:41:05,600
Speaker 1: a lot of Americas realize they can do things they

690
00:41:05,680 --> 00:41:08,120
Speaker 1: learned how to use technologies like zoom that they never

691
00:41:08,200 --> 00:41:12,439
Speaker 1: knew existed before their TV stations, that we're not using

692
00:41:12,480 --> 00:41:15,160
Speaker 1: these technologies to do remote interviews that learned how to

693
00:41:15,239 --> 00:41:17,160
Speaker 1: use them, And I'm pretty sure they're not going back

694
00:41:17,200 --> 00:41:21,200
Speaker 1: to the old way of doing it because this is simple, efficient, reliable,

695
00:41:21,480 --> 00:41:24,279
Speaker 1: and cheaper. Yeah, you know, there's been a lot of

696
00:41:24,400 --> 00:41:26,160
Speaker 1: articles more recently. I saw I think it was this

697
00:41:26,239 --> 00:41:30,399
Speaker 1: weekend in the Wall Street Journal. People were leaving New

698
00:41:30,480 --> 00:41:34,239
Speaker 1: York City before coronavirus. Now what and I could tell

699
00:41:34,280 --> 00:41:36,880
Speaker 1: you and I think it's beyond anecdotal. So many people

700
00:41:36,880 --> 00:41:38,239
Speaker 1: that I know they live in New York City and

701
00:41:38,280 --> 00:41:41,840
Speaker 1: they're like, I'm out of here, and they literally they say, Okay,

702
00:41:41,880 --> 00:41:46,320
Speaker 1: tell o working. They absolutely love freedom, flexibility, open spaces,

703
00:41:46,360 --> 00:41:51,600
Speaker 1: lower taxes, less crime, better schools, better weather, zero commute employers.

704
00:41:51,880 --> 00:41:54,399
Speaker 1: I would think they'd like the dramatic reduction and rent

705
00:41:54,520 --> 00:42:00,000
Speaker 1: and taxes associated costs with doing business with fewer employees

706
00:42:00,080 --> 00:42:04,640
Speaker 1: interactions you zoom. Companies will shift their business, headquarters and

707
00:42:04,840 --> 00:42:08,120
Speaker 1: operations out of high tax states with burdens from regulations,

708
00:42:08,120 --> 00:42:12,600
Speaker 1: save millions on day one. You know, I think a

709
00:42:12,600 --> 00:42:15,080
Speaker 1: city like New York City or a state like New

710
00:42:15,120 --> 00:42:17,919
Speaker 1: York maybe in for a reckoning. And if people don't

711
00:42:17,920 --> 00:42:19,640
Speaker 1: think it can happen, think back to what happened to

712
00:42:19,719 --> 00:42:21,600
Speaker 1: the Great City of Detroit. Do you see that as

713
00:42:21,600 --> 00:42:27,880
Speaker 1: a possibility? Doctor, as we're seeing some experts argue with

714
00:42:28,280 --> 00:42:33,000
Speaker 1: convincing our thoughts that the middle size cities of this

715
00:42:33,120 --> 00:42:35,080
Speaker 1: country are going to grow over in fashion and they

716
00:42:35,080 --> 00:42:37,600
Speaker 1: have been for all the reasons you stated. And I

717
00:42:37,640 --> 00:42:39,480
Speaker 1: happen to love New York and you know, I'm not

718
00:42:39,480 --> 00:42:41,360
Speaker 1: going anywhere. I take my show in the city my

719
00:42:41,360 --> 00:42:43,640
Speaker 1: whole staff comes there. So there are definitely businesses that

720
00:42:43,719 --> 00:42:45,480
Speaker 1: have no intention of leaving for us to be your

721
00:42:45,840 --> 00:42:49,319
Speaker 1: opportunity is let people work from home when they don't

722
00:42:49,360 --> 00:42:51,319
Speaker 1: have to be in the office. And I think I'm

723
00:42:51,320 --> 00:42:54,479
Speaker 1: probably the norm. But with our question, especially for people

724
00:42:54,520 --> 00:42:57,320
Speaker 1: are having trouble affording the rent, this is a smart

725
00:42:57,360 --> 00:42:59,160
Speaker 1: time to look around and see what else is out

726
00:42:59,200 --> 00:43:01,640
Speaker 1: there as an opportunity of these preserve your quality of life,

727
00:43:02,160 --> 00:43:05,840
Speaker 1: but also to make every city catered to your needs.

728
00:43:05,880 --> 00:43:08,280
Speaker 1: So if a city of New York for three years

729
00:43:08,280 --> 00:43:11,680
Speaker 1: and running has been losing pretty large port, their number

730
00:43:11,760 --> 00:43:16,120
Speaker 1: one in the country for people leaving the state, high taxes, regulation,

731
00:43:17,239 --> 00:43:20,279
Speaker 1: densely populated areas. Do you know if you took a

732
00:43:20,760 --> 00:43:23,320
Speaker 1: U haul out of California and you moved to Texas,

733
00:43:23,320 --> 00:43:25,840
Speaker 1: it's around twenty twenty five hundred bucks depending on what

734
00:43:25,920 --> 00:43:28,400
Speaker 1: part of California. If you take the U haul from

735
00:43:28,440 --> 00:43:31,080
Speaker 1: Texas back to California, you're doing U haul a favor.

736
00:43:31,200 --> 00:43:33,560
Speaker 1: It's like four hundred bucks. That's how dramatic it is.

737
00:43:34,400 --> 00:43:39,680
Speaker 1: Oh my goodness, yeah speaks, isn't that incredible? It does.

738
00:43:40,120 --> 00:43:44,279
Speaker 1: But I got to say the big issue of infections

739
00:43:44,360 --> 00:43:47,200
Speaker 1: we should be able to remove from the decision process

740
00:43:47,480 --> 00:43:50,840
Speaker 1: what the pandemic created in terms of a shutdown those

741
00:43:50,880 --> 00:43:54,000
Speaker 1: economic ramifications. You're more of the expert than me, but

742
00:43:54,040 --> 00:43:57,439
Speaker 1: I'm pretty confident that will at least remove the fear

743
00:43:57,480 --> 00:43:59,880
Speaker 1: of infection as one of the drivers of people moving

744
00:44:00,120 --> 00:44:02,600
Speaker 1: different places. Yes, there'll be someone who are influenced by

745
00:44:02,760 --> 00:44:05,520
Speaker 1: but I do think that we will give people a

746
00:44:05,560 --> 00:44:07,920
Speaker 1: lot of confidence, especially once we have the vaccine. But

747
00:44:07,960 --> 00:44:09,960
Speaker 1: it didn't even before then, because there are dozens of

748
00:44:10,400 --> 00:44:12,520
Speaker 1: ideas out there, some are going to pan out, and

749
00:44:12,560 --> 00:44:15,200
Speaker 1: how we can treat people better who have contracted COVID nineteen.

750
00:44:15,640 --> 00:44:18,080
Speaker 1: Let me ask the last question, and the last question

751
00:44:18,160 --> 00:44:20,319
Speaker 1: is this, if this young man who I really am

752
00:44:20,320 --> 00:44:23,200
Speaker 1: fond of, who works at my local grocery store, has

753
00:44:23,239 --> 00:44:26,520
Speaker 1: worked all throughout this entire you know, right in the

754
00:44:26,560 --> 00:44:30,720
Speaker 1: epicenter there every day, you know, stock in the shelves. Great,

755
00:44:30,760 --> 00:44:33,680
Speaker 1: he's a hard working kid. Great kid. If he can

756
00:44:33,719 --> 00:44:36,160
Speaker 1: do it, and he do it and he's doing it safely,

757
00:44:36,520 --> 00:44:41,160
Speaker 1: just like manufacturers or manufacturing medical equipment safely, don't we

758
00:44:41,280 --> 00:44:45,520
Speaker 1: have the model to open the rest of the country. Yeah,

759
00:44:46,800 --> 00:44:49,359
Speaker 1: The issue is we can't test it with just one

760
00:44:49,400 --> 00:44:51,200
Speaker 1: person in one store, But yes, I think there are

761
00:44:51,200 --> 00:44:53,719
Speaker 1: a lot of it's every store, and it's every drug store,

762
00:44:53,760 --> 00:44:56,879
Speaker 1: and it's every manufacturing center, right exactly. But I think

763
00:44:57,000 --> 00:44:59,359
Speaker 1: that that's why it's so important that we're meticulous as

764
00:44:59,400 --> 00:45:02,040
Speaker 1: we reopen and states, and maybe we're want to reopen

765
00:45:02,040 --> 00:45:04,960
Speaker 1: it in counties more than states, to really assess how

766
00:45:05,000 --> 00:45:07,560
Speaker 1: people are doing it and learn from the experience. If

767
00:45:07,600 --> 00:45:09,840
Speaker 1: we test in trace, we'll know either we're going to

768
00:45:09,920 --> 00:45:12,399
Speaker 1: find out that my goodness is just like shockingly good,

769
00:45:12,480 --> 00:45:14,560
Speaker 1: no one's getting sick, or we're gonna learn you know,

770
00:45:14,640 --> 00:45:17,120
Speaker 1: some people get sick, but they're the young or the

771
00:45:17,160 --> 00:45:21,440
Speaker 1: people without vulnerable culmorability, so they're not getting that ill. Mean,

772
00:45:21,840 --> 00:45:23,120
Speaker 1: they don't feel good for a couple of days and

773
00:45:23,200 --> 00:45:25,000
Speaker 1: then I ended up at the hospital or got to

774
00:45:25,080 --> 00:45:28,000
Speaker 1: be going onto a ventilator, right, So well might find

775
00:45:28,000 --> 00:45:29,640
Speaker 1: out or we might find out my goodness is this

776
00:45:29,719 --> 00:45:30,960
Speaker 1: is not working out the way we want to do

777
00:45:31,000 --> 00:45:33,040
Speaker 1: work out. And I'm my biggest concern is the last

778
00:45:33,040 --> 00:45:35,200
Speaker 1: I don't want that to happen because it's a lot

779
00:45:35,200 --> 00:45:37,759
Speaker 1: easier to shut down the first time than the second time.

780
00:45:38,000 --> 00:45:40,280
Speaker 1: So if we're thoughtful about this, and I think that

781
00:45:40,280 --> 00:45:42,239
Speaker 1: that's what we're starting to see now. Everyone's has going

782
00:45:42,280 --> 00:45:45,000
Speaker 1: at their own pace. They're making sure that you're developing

783
00:45:45,080 --> 00:45:48,560
Speaker 1: real world guidelines like you've mentioned. If that gentleman is

784
00:45:48,600 --> 00:45:51,080
Speaker 1: as meticulous as you're describing and he's social distancing with

785
00:45:51,120 --> 00:45:53,680
Speaker 1: the mask and the gloves, that should work. But we

786
00:45:53,760 --> 00:45:55,200
Speaker 1: just all we got to do now is proved that

787
00:45:55,280 --> 00:45:58,400
Speaker 1: should is real, and then I think everyone gets really confident.

788
00:45:58,960 --> 00:46:01,279
Speaker 1: All right, doctor Za always, thank you for being with us.

789
00:46:01,320 --> 00:46:03,879
Speaker 1: Eight hundred and ninety four one Sean tull free telephone number.

790
00:46:03,920 --> 00:46:06,120
Speaker 1: You want to be a part of the program, right

791
00:46:06,200 --> 00:46:08,480
Speaker 1: twenty five now till the top of the hour, toll free.

792
00:46:08,480 --> 00:46:10,600
Speaker 1: It's eight hundred and nine four one Sean. You want

793
00:46:10,640 --> 00:46:13,440
Speaker 1: to be a part of the program. Missouri has filed

794
00:46:13,520 --> 00:46:18,560
Speaker 1: a suit against China for enormous consequences of Corona virus deceit.

795
00:46:19,360 --> 00:46:21,759
Speaker 1: Now we're hearing it might be even worse than that,

796
00:46:21,800 --> 00:46:24,480
Speaker 1: if you can believe it. I mean, it is the

797
00:46:24,880 --> 00:46:29,759
Speaker 1: level of dishonesty and lying and the fact that they

798
00:46:29,840 --> 00:46:32,840
Speaker 1: protected all the people in China. No people in Wuhan

799
00:46:32,920 --> 00:46:36,680
Speaker 1: were allowed to travel anywhere within China. Nobody from China

800
00:46:36,800 --> 00:46:40,520
Speaker 1: was able to fly to Wuhan Province. There is a

801
00:46:41,120 --> 00:46:45,080
Speaker 1: story out on foxnews dot Com that China could have

802
00:46:45,080 --> 00:46:49,520
Speaker 1: had fifty times more coronavirus cases than claimed, according to

803
00:46:49,640 --> 00:46:54,520
Speaker 1: some Trump administration officials. In other words, they knew it

804
00:46:54,600 --> 00:46:56,920
Speaker 1: was bad, they hid it from the world. Then they

805
00:46:56,920 --> 00:47:00,359
Speaker 1: were buying up all of the medical equipment. Now they're

806
00:47:00,360 --> 00:47:05,440
Speaker 1: selling it at massive markups. On top of them protecting

807
00:47:05,440 --> 00:47:08,480
Speaker 1: the rest of their country and still allowing travel from

808
00:47:08,520 --> 00:47:11,319
Speaker 1: Wuhan to other parts of the world, and from other

809
00:47:11,360 --> 00:47:13,480
Speaker 1: parts of the world to Wuhan, but not within their

810
00:47:13,480 --> 00:47:17,400
Speaker 1: own country. It is unbelievable. You know, they increased their

811
00:47:17,440 --> 00:47:21,040
Speaker 1: official count by fifty percent in one day because they've

812
00:47:21,080 --> 00:47:23,120
Speaker 1: been called out on it. And there's too many images

813
00:47:23,160 --> 00:47:25,920
Speaker 1: that are now escaping out of China in terms of

814
00:47:26,040 --> 00:47:31,520
Speaker 1: earns and graves and people and funerals. Nobody knows the

815
00:47:31,560 --> 00:47:34,359
Speaker 1: real number. Now, there was a study out of Great

816
00:47:34,360 --> 00:47:37,399
Speaker 1: Britain that said, well, we could have prevented ninety five

817
00:47:37,440 --> 00:47:39,720
Speaker 1: percent of this, that they were just open and honest

818
00:47:39,719 --> 00:47:43,440
Speaker 1: with the world that we've got a virus. And by

819
00:47:43,480 --> 00:47:45,080
Speaker 1: the way, this then goes to the heart of Donald

820
00:47:45,120 --> 00:47:47,919
Speaker 1: Trump's decision. The world would have sent their leaders there,

821
00:47:48,600 --> 00:47:53,960
Speaker 1: and the fact that the President rightly stood up and said, no,

822
00:47:54,040 --> 00:47:56,759
Speaker 1: I'm putting a travel ban in place, and everybody criticized

823
00:47:56,760 --> 00:47:58,919
Speaker 1: them and beat them up for it, when it turns

824
00:47:58,920 --> 00:48:02,080
Speaker 1: out that the President did the right thing. Now, Missouri

825
00:48:02,160 --> 00:48:05,400
Speaker 1: became the first state to file this lawsuit against China,

826
00:48:05,560 --> 00:48:08,560
Speaker 1: accusing the country being responsible for the severity of the

827
00:48:08,600 --> 00:48:11,919
Speaker 1: coronavirus pandemic, seeking damages to make up for the most

828
00:48:12,080 --> 00:48:16,839
Speaker 1: enormous amount of loss human life, suffering economic turmoil resulting

829
00:48:16,880 --> 00:48:19,920
Speaker 1: from this disease. Anyway, The suit in the Eastern District

830
00:48:19,920 --> 00:48:23,400
Speaker 1: of Missouri follows at least seven federal class action suits

831
00:48:23,440 --> 00:48:26,720
Speaker 1: that have been filed by private groups and one filed

832
00:48:26,760 --> 00:48:30,560
Speaker 1: in Florida, saying that China knew how dangerous this was,

833
00:48:31,280 --> 00:48:35,759
Speaker 1: now capable this COVID nineteen virus was of causing a pandemic,

834
00:48:36,239 --> 00:48:39,239
Speaker 1: They not only acted slowly, they put their head in

835
00:48:39,239 --> 00:48:41,560
Speaker 1: the sand, and they covered it up for their own

836
00:48:41,600 --> 00:48:46,400
Speaker 1: economic self interest, only protecting their own people. Missouri is

837
00:48:46,400 --> 00:48:50,520
Speaker 1: confirmed five nine hundred and sixty three cases. Now, we

838
00:48:50,640 --> 00:48:54,520
Speaker 1: have to make sure that the solution it doesn't end

839
00:48:54,560 --> 00:48:58,879
Speaker 1: up being worse than, of course the problem and that's

840
00:48:58,920 --> 00:49:01,160
Speaker 1: why we have to get to the safe way. That

841
00:49:01,239 --> 00:49:05,879
Speaker 1: balanced the safe way to open up the country. This

842
00:49:06,000 --> 00:49:08,839
Speaker 1: is exploding in New York. I can tell you this

843
00:49:09,440 --> 00:49:14,440
Speaker 1: because of Governor Cuomo insisting that nursing homes actually wanted

844
00:49:14,520 --> 00:49:18,120
Speaker 1: coronavirus patients that they were forced to take under his

845
00:49:18,200 --> 00:49:21,440
Speaker 1: executive directive on March the twenty fifth, because it quote

846
00:49:21,440 --> 00:49:24,440
Speaker 1: boosted their profits. But that's what he said earlier today.

847
00:49:24,480 --> 00:49:26,799
Speaker 1: There's a good article in Breitbart. By the way, it's

848
00:49:26,920 --> 00:49:29,080
Speaker 1: John Nulty when I was referring to her earlier, not

849
00:49:29,200 --> 00:49:31,680
Speaker 1: Nick Nolty. Sorry John, And I mean it insults you

850
00:49:31,760 --> 00:49:35,560
Speaker 1: in any way anyway. So the Governor of New York says,

851
00:49:35,600 --> 00:49:39,120
Speaker 1: whatever reason they want, they could call the Department of

852
00:49:39,239 --> 00:49:42,760
Speaker 1: Health and say, hey, you take Bernadette. I can handle

853
00:49:42,800 --> 00:49:45,480
Speaker 1: her Department of Health. Now, when the Department of Health

854
00:49:45,480 --> 00:49:49,799
Speaker 1: takes Bernadette, they no longer get paid for Bernadette. Oh money.

855
00:49:49,880 --> 00:49:53,360
Speaker 1: This is Cuomo speaking here. And Cuomo said the account

856
00:49:53,400 --> 00:49:56,360
Speaker 1: from one nursing home operator who begged him to transfer

857
00:49:56,400 --> 00:50:00,840
Speaker 1: his coronavirus patients to the hospital ship comfort was a misleading.

858
00:50:01,640 --> 00:50:03,800
Speaker 1: And then he said, well it's not myrous. He literally

859
00:50:03,840 --> 00:50:07,040
Speaker 1: said he made the statement, I mean it is breathtaking,

860
00:50:07,080 --> 00:50:09,480
Speaker 1: and it kind of went viral all over New York. Well,

861
00:50:09,880 --> 00:50:13,880
Speaker 1: you know it's not our job. Well, you're forcing COVID

862
00:50:13,960 --> 00:50:17,160
Speaker 1: nineteen patients. Now, it was the President of the United

863
00:50:17,200 --> 00:50:20,480
Speaker 1: States that built the three thousand hospital beds at the

864
00:50:20,560 --> 00:50:23,319
Speaker 1: Javit Center of the largest hospital in the country, not

865
00:50:23,360 --> 00:50:25,680
Speaker 1: only built it for New York, but manned it for

866
00:50:25,760 --> 00:50:29,600
Speaker 1: New York. And the same with the Comfort. Neither one

867
00:50:29,719 --> 00:50:33,240
Speaker 1: was designed to take on COVID nineteen patients. They both

868
00:50:33,320 --> 00:50:36,600
Speaker 1: adapted and adjusted, which by the way, was not an

869
00:50:36,600 --> 00:50:41,120
Speaker 1: easy task in any way. You know, Cuomo said, the

870
00:50:41,160 --> 00:50:44,200
Speaker 1: Comfort is a federal facility. It doesn't take transfers from

871
00:50:44,280 --> 00:50:47,799
Speaker 1: nursing homes. It only takes transfers from hospitals. Well, but

872
00:50:47,880 --> 00:50:51,120
Speaker 1: that's where they were coming from. In other words, people

873
00:50:51,120 --> 00:50:56,280
Speaker 1: were coming from that particular you know, from those areas. Anyway,

874
00:50:56,880 --> 00:51:00,839
Speaker 1: we have the Attorney General of Missouri, Eric Schmidt's with us. Eric,

875
00:51:00,880 --> 00:51:04,319
Speaker 1: how are you tell us quickly about your lawsuit? Sure,

876
00:51:04,360 --> 00:51:07,080
Speaker 1: I'm good, John, Thanks for having me. Yeah. I think look,

877
00:51:07,160 --> 00:51:09,360
Speaker 1: as you sort of talked about, the world is learning

878
00:51:09,360 --> 00:51:10,960
Speaker 1: more and more every day. But here's what we do know.

879
00:51:11,520 --> 00:51:13,799
Speaker 1: Is that the Chinese government engaged in a broad and

880
00:51:13,920 --> 00:51:20,120
Speaker 1: sweeping campaign of deception and deceit, of misinformation, of misrepresentations

881
00:51:20,120 --> 00:51:24,320
Speaker 1: in really critical times, during the months of December and

882
00:51:24,480 --> 00:51:28,120
Speaker 1: of January, where this global pandemic really could have been

883
00:51:28,160 --> 00:51:31,680
Speaker 1: mitigated and prevented. I mean, they suppressed critical information, They

884
00:51:31,760 --> 00:51:35,719
Speaker 1: arrested whistleblowers, They denied human to human transmission in the

885
00:51:35,760 --> 00:51:40,640
Speaker 1: face of many evidence. They destroyed medical research, permitted millions

886
00:51:40,640 --> 00:51:43,160
Speaker 1: of people to be exposed to the virus. And this

887
00:51:43,239 --> 00:51:46,080
Speaker 1: has been unleashed unlike anything we've seen in our lifetime,

888
00:51:46,120 --> 00:51:48,600
Speaker 1: and no part of the world has been spared, certainly

889
00:51:48,600 --> 00:51:50,160
Speaker 1: not here in the United States, and in my home

890
00:51:50,200 --> 00:51:53,000
Speaker 1: state of Missouri, we have over six thousand cases now

891
00:51:53,040 --> 00:51:56,399
Speaker 1: were two hundred lives lost, people separated from loved ones

892
00:51:56,440 --> 00:51:59,200
Speaker 1: and nursing homes, not being able to attend funerals. You know,

893
00:51:59,239 --> 00:52:02,840
Speaker 1: the economic impact is massive. People losing their jobs and

894
00:52:02,880 --> 00:52:06,720
Speaker 1: we have twenty six million jobs lost in the United

895
00:52:06,760 --> 00:52:10,040
Speaker 1: States in just two months. And people live in paycheck

896
00:52:10,080 --> 00:52:12,680
Speaker 1: to paycheck that are really struggling now. State governments now

897
00:52:12,760 --> 00:52:15,640
Speaker 1: or art legislatures, crafts, and state budget under the circumstances,

898
00:52:15,680 --> 00:52:17,920
Speaker 1: So I thought it was my job as a state's

899
00:52:17,960 --> 00:52:20,479
Speaker 1: chief legal officer and had a moral obligation to bring

900
00:52:20,520 --> 00:52:23,799
Speaker 1: this lawsuit to hold the Chinese government accountable for their

901
00:52:23,800 --> 00:52:26,000
Speaker 1: actions and lay the blame exactly where it should be,

902
00:52:26,040 --> 00:52:28,840
Speaker 1: which is at But these are when you go internationally,

903
00:52:29,840 --> 00:52:33,680
Speaker 1: these are very difficult cases. There are lots of ways

904
00:52:33,719 --> 00:52:38,640
Speaker 1: that people delay and delay and delay, and at different

905
00:52:38,640 --> 00:52:42,920
Speaker 1: points you have bias built in and foreign policy issues

906
00:52:42,960 --> 00:52:45,759
Speaker 1: built in. How long are you talking about before that

907
00:52:46,120 --> 00:52:48,520
Speaker 1: be any real justice for the people of your state

908
00:52:48,640 --> 00:52:51,960
Speaker 1: or any state in terms of a successful lawsuit against

909
00:52:52,040 --> 00:52:56,080
Speaker 1: China which results in damages and payments to people. Well,

910
00:52:56,120 --> 00:52:57,960
Speaker 1: it's not going to happen overnight, but we've got to

911
00:52:58,000 --> 00:53:00,560
Speaker 1: start somewhere. And I'm proud of Missouri is leading the

912
00:53:00,640 --> 00:53:02,279
Speaker 1: charge on this. I don't think will be the last

913
00:53:02,320 --> 00:53:03,799
Speaker 1: state to do it. I think when you look at

914
00:53:03,840 --> 00:53:05,640
Speaker 1: the facts and you look at the law, and one

915
00:53:05,680 --> 00:53:10,240
Speaker 1: thing that's worth pointing out going at typically foreign governments

916
00:53:10,560 --> 00:53:14,760
Speaker 1: claim sort of blanket protection under the claim of sovereign immunity.

917
00:53:15,239 --> 00:53:17,680
Speaker 1: But interestingly, and I think is legal experts begin to

918
00:53:17,680 --> 00:53:20,040
Speaker 1: look at our complaint, which is forty seven page complaint

919
00:53:20,040 --> 00:53:23,360
Speaker 1: we filed in Federal court last week. They're starting to

920
00:53:23,400 --> 00:53:27,040
Speaker 1: recognize the merits of this claim because there are exceptions

921
00:53:27,040 --> 00:53:29,440
Speaker 1: to the Federal Sovereign Immunities Act, and one of those

922
00:53:29,480 --> 00:53:33,320
Speaker 1: exceptions is commercial activity exceptions. And so what we allegend

923
00:53:33,360 --> 00:53:37,560
Speaker 1: this complaint is the fact that they're running a hospital system,

924
00:53:37,560 --> 00:53:41,800
Speaker 1: the fact that they're hoarding PPE. They became a net importer.

925
00:53:42,000 --> 00:53:44,440
Speaker 1: They had previously been a net exporter of PPE and

926
00:53:44,520 --> 00:53:47,640
Speaker 1: during these critical weeks became a net importer of PPE.

927
00:53:47,719 --> 00:53:50,640
Speaker 1: And they're running the Juhan virology lab. These are all

928
00:53:50,680 --> 00:53:54,160
Speaker 1: objective commercial activities that we believe gives us a solid

929
00:53:54,239 --> 00:53:57,640
Speaker 1: avenue for relief. Ultimately, when the Seals had done well,

930
00:53:57,640 --> 00:53:59,440
Speaker 1: I wish you well in your suit. We're going to

931
00:53:59,520 --> 00:54:02,920
Speaker 1: follow it closely, and if there's progress or any news,

932
00:54:02,920 --> 00:54:05,600
Speaker 1: please keep us updated because I think you know, I mean,

933
00:54:05,640 --> 00:54:07,560
Speaker 1: this is the least we can do for the families

934
00:54:07,560 --> 00:54:10,000
Speaker 1: that lost loved ones in the world that has suffered

935
00:54:10,080 --> 00:54:12,839
Speaker 1: economically as a result of this. One of the things

936
00:54:12,840 --> 00:54:15,920
Speaker 1: I would hope that might come into consideration is any

937
00:54:16,719 --> 00:54:19,280
Speaker 1: debt that China is holding for the USB with health

938
00:54:19,960 --> 00:54:23,520
Speaker 1: so that families can be justly and rightly compensated taxpayers

939
00:54:23,520 --> 00:54:26,160
Speaker 1: can be compensated for this massive amount of money that

940
00:54:26,200 --> 00:54:29,680
Speaker 1: we're talking about here being spent. It's this is going

941
00:54:29,719 --> 00:54:34,759
Speaker 1: to be generational. Now, the impact on economically on the country. Well, look,

942
00:54:34,800 --> 00:54:37,080
Speaker 1: we want to hold them accountable. And then this lawsuit

943
00:54:37,400 --> 00:54:39,920
Speaker 1: is about getting to the truth and holding them accountable.

944
00:54:39,920 --> 00:54:42,320
Speaker 1: And that's why we're going to pursue this as aggressive

945
00:54:42,360 --> 00:54:46,120
Speaker 1: ways we can. All right, thank you the Attorney General

946
00:54:46,200 --> 00:54:48,480
Speaker 1: of the great State of Missouri, Eric Schmidt. Good luck

947
00:54:48,480 --> 00:54:51,440
Speaker 1: with that. Keep us updated, sir, thank you, Thank you.

948
00:54:52,120 --> 00:54:54,080
Speaker 1: All right, eight hundred and nine for one. Sean, if

949
00:54:54,080 --> 00:54:55,400
Speaker 1: you want to be a part of the program. Now

950
00:54:55,440 --> 00:54:59,040
Speaker 1: there's again. I want to go back to this cobble

951
00:54:59,320 --> 00:55:02,160
Speaker 1: Hill Health Center. This was in the New York Post.

952
00:55:02,760 --> 00:55:04,800
Speaker 1: I mean, what we have here is there was this

953
00:55:05,680 --> 00:55:10,200
Speaker 1: Governor Cuomo made in order that forced nursing homes, elderly

954
00:55:10,239 --> 00:55:15,919
Speaker 1: care facilities to take on COVID nineteen positive patients as

955
00:55:15,960 --> 00:55:18,400
Speaker 1: of March twenty fifth. A lot of these places are like,

956
00:55:18,480 --> 00:55:21,720
Speaker 1: we don't have the ability to deal with it. And

957
00:55:21,760 --> 00:55:24,480
Speaker 1: then Governor Cuomo's answered when he was confronted late last

958
00:55:24,480 --> 00:55:26,839
Speaker 1: week with this, was told, you know, said, well, we've

959
00:55:26,840 --> 00:55:30,120
Speaker 1: been helping them with more ppe. But again, it's not

960
00:55:30,160 --> 00:55:33,360
Speaker 1: our job. Now. Meanwhile, it's the same Governor Cuomo that

961
00:55:33,400 --> 00:55:37,640
Speaker 1: was demanding the federal government step in and handle every

962
00:55:37,680 --> 00:55:41,759
Speaker 1: aspect of providing all of the hospitals, all of the ventilators,

963
00:55:41,800 --> 00:55:44,239
Speaker 1: all of the respirators, all of the gloves, all of

964
00:55:44,280 --> 00:55:47,000
Speaker 1: the masks, all of the gowns, all of the medicines,

965
00:55:47,239 --> 00:55:49,799
Speaker 1: because they didn't have any preparation. We now know New

966
00:55:49,880 --> 00:55:53,320
Speaker 1: York City had been recommended almost ten thousand ventilators be available,

967
00:55:53,480 --> 00:55:57,120
Speaker 1: they didn't have any. New York State had recommended November

968
00:55:57,120 --> 00:56:00,719
Speaker 1: twenty fifteen that they said it would be short seven

969
00:56:00,800 --> 00:56:04,719
Speaker 1: hundred eighty three ventilators. They didn't buy any, but they

970
00:56:04,719 --> 00:56:06,879
Speaker 1: did waste a lot of money in New York. Now

971
00:56:06,880 --> 00:56:09,480
Speaker 1: there's a fight also on the money issue as it relates.

972
00:56:09,480 --> 00:56:14,600
Speaker 1: If it's not COVID nineteen related, it's not Mitch McConnell's responsibility,

973
00:56:14,680 --> 00:56:16,840
Speaker 1: you know. And now it's a big past to blame

974
00:56:17,520 --> 00:56:20,239
Speaker 1: Cuomo suggesting that it was money that was partly to

975
00:56:20,320 --> 00:56:23,400
Speaker 1: blame for nursing homes failing to turn away the patients.

976
00:56:23,440 --> 00:56:26,640
Speaker 1: But that's not true. That's his order that made that happen,

977
00:56:27,680 --> 00:56:30,480
Speaker 1: and you know, he's saying, well, you know, whatever reason

978
00:56:30,560 --> 00:56:32,759
Speaker 1: they want, they could call the Department of Health and say,

979
00:56:32,800 --> 00:56:35,200
Speaker 1: you take Bernardete. I can't handle her in the Department

980
00:56:35,200 --> 00:56:38,200
Speaker 1: of Health takes her. Now, when the Department of Health

981
00:56:38,239 --> 00:56:41,360
Speaker 1: takes Bernadette, they no longer get paid for Bernardette. Oh. Money,

982
00:56:41,440 --> 00:56:45,160
Speaker 1: that's what Cuomo saying, that these elderly care facilities did

983
00:56:45,239 --> 00:56:51,200
Speaker 1: all of this, and they did it all for money anyway,

984
00:56:51,320 --> 00:56:53,239
Speaker 1: So he said, then he said, the Comfort is a

985
00:56:53,280 --> 00:56:56,520
Speaker 1: federal facility. It doesn't take transfers. Hang on a second,

986
00:56:57,160 --> 00:57:00,880
Speaker 1: Governor Cuomo knows that the President converted the for COVID

987
00:57:00,960 --> 00:57:04,719
Speaker 1: nineteen patients, just like the Javits Center. So that's not

988
00:57:04,800 --> 00:57:07,719
Speaker 1: making sense either, because all he had to do was say, hey,

989
00:57:07,760 --> 00:57:09,520
Speaker 1: do you mind we have some elderly people. We can't

990
00:57:09,520 --> 00:57:11,480
Speaker 1: send them back to nursing homes. They don't even they

991
00:57:11,920 --> 00:57:15,400
Speaker 1: don't have the ability to deal with this. I mean,

992
00:57:15,440 --> 00:57:18,840
Speaker 1: it's amazing the buck passing that's going on here. Anyway.

993
00:57:19,160 --> 00:57:21,640
Speaker 1: Now we're finding out from the New York Post Cobble

994
00:57:21,840 --> 00:57:24,400
Speaker 1: Health Hills Center CEO, a guy by the name of

995
00:57:24,480 --> 00:57:30,080
Speaker 1: Donnie Tuckman sent a desperate email to state Department officials,

996
00:57:31,200 --> 00:57:36,560
Speaker 1: and in this letter to the officials April ninth, asking

997
00:57:36,600 --> 00:57:38,280
Speaker 1: if there was a way for us to send our

998
00:57:38,320 --> 00:57:41,920
Speaker 1: suspected COVID patients to the hospital built inside the Javits Center.

999
00:57:42,720 --> 00:57:45,720
Speaker 1: We don't have the ability to cohort right now based

1000
00:57:45,760 --> 00:57:48,600
Speaker 1: on staffing, and we really want to protect our other patients,

1001
00:57:48,600 --> 00:57:51,760
Speaker 1: he wrote in a chain of emails that was reviewed

1002
00:57:51,760 --> 00:57:54,360
Speaker 1: by The New York Post. He was denied. I was

1003
00:57:54,400 --> 00:57:58,040
Speaker 1: told those facilities were only for hospitals to send their

1004
00:57:58,040 --> 00:58:01,880
Speaker 1: overflow patients now, and as we all know well, only

1005
00:58:01,920 --> 00:58:05,400
Speaker 1: one hundred and thirty four of the three thousand beds

1006
00:58:05,440 --> 00:58:09,240
Speaker 1: at the Javits Center were full, and the comfort which

1007
00:58:09,280 --> 00:58:13,200
Speaker 1: had been reconfigured to treat up to five hundred COVID

1008
00:58:13,320 --> 00:58:16,680
Speaker 1: nineteen patients, they had a mere sixty two on board,

1009
00:58:17,080 --> 00:58:19,720
Speaker 1: and then, adding insult to injury, the Navy hospital ship

1010
00:58:19,760 --> 00:58:22,320
Speaker 1: wound up treating just one hundred and seventy nine patients.

1011
00:58:23,120 --> 00:58:27,040
Speaker 1: And by the way, they've been sent back and cobble

1012
00:58:27,160 --> 00:58:29,760
Speaker 1: Hill has led all state nursing homes and the number

1013
00:58:29,800 --> 00:58:33,000
Speaker 1: of residents killed by coronavirus since the state Health Department

1014
00:58:33,040 --> 00:58:37,120
Speaker 1: began releasing figures last week. This is not a small scandal,

1015
00:58:38,320 --> 00:58:41,280
Speaker 1: and it's the opposite. Remember we were highlighting last week

1016
00:58:42,440 --> 00:58:45,280
Speaker 1: what had happened in the great state of Florida. We

1017
00:58:45,360 --> 00:58:49,480
Speaker 1: know what happened there. Eight hundred nine four one, Shawn

1018
00:58:49,600 --> 00:58:51,640
Speaker 1: toll free telephone number. You want to be a part

1019
00:58:51,640 --> 00:58:55,240
Speaker 1: of the program, Linda, you got You put something up

1020
00:58:55,280 --> 00:58:57,920
Speaker 1: on the website that I noticed earlier today about people

1021
00:58:58,040 --> 00:59:00,800
Speaker 1: making masks, and they set you something and you took

1022
00:59:00,840 --> 00:59:03,080
Speaker 1: some pictures, one with the Punisher on it, which I

1023
00:59:03,120 --> 00:59:05,800
Speaker 1: thought was hilarious. I mean, it's it's great. People are

1024
00:59:05,840 --> 00:59:08,880
Speaker 1: so innovative. You know, they're they're having trouble, they're out

1025
00:59:08,880 --> 00:59:11,160
Speaker 1: of work, you know, they're trying to make ends meet

1026
00:59:11,160 --> 00:59:15,120
Speaker 1: This single mom she's in Habits down Pennsylvania, and she's

1027
00:59:15,280 --> 00:59:17,960
Speaker 1: making all of these awesome masks and she sent me

1028
00:59:18,000 --> 00:59:20,360
Speaker 1: one that says censored. She sent you one with the

1029
00:59:20,360 --> 00:59:22,520
Speaker 1: punisher one because she saw you with the pin on TV.

1030
00:59:22,720 --> 00:59:25,320
Speaker 1: And she's just you know, she's got this barbershop, this

1031
00:59:25,400 --> 00:59:27,280
Speaker 1: hair salon, and she can't be open right now. It's

1032
00:59:27,280 --> 00:59:29,720
Speaker 1: like so many businesses across the country, so she's kind

1033
00:59:29,720 --> 00:59:31,520
Speaker 1: of and then she's selling them online and we put

1034
00:59:31,560 --> 00:59:35,120
Speaker 1: it up on Hannity dot Com. You certainly did. Thank you, Danielle.

1035
00:59:35,120 --> 00:59:37,800
Speaker 1: It's very cool. That's very thank you Danielle for sending

1036
00:59:37,800 --> 00:59:41,520
Speaker 1: that to us. Now, speaking of Hannity dot Com, do

1037
00:59:41,600 --> 00:59:43,440
Speaker 1: we have an announcement or no, Yeah, we have an

1038
00:59:43,480 --> 00:59:50,840
Speaker 1: announcement plus so moments ago, I my attorney, Charles Harder,

1039
00:59:52,360 --> 00:59:55,360
Speaker 1: who was the he and Lynn Wood are the two

1040
00:59:55,400 --> 01:00:01,280
Speaker 1: best libel attorneys in the country, has released letter on

1041
01:00:01,440 --> 01:00:05,960
Speaker 1: my behalf. I am his client. The letter starts out,

1042
01:00:05,960 --> 01:00:08,880
Speaker 1: it is sent to The New York Times and it

1043
01:00:09,040 --> 01:00:13,240
Speaker 1: is sent to a couple of their reporters. This firm

1044
01:00:13,360 --> 01:00:17,800
Speaker 1: is litigation counsel for Sean Hannity. We write concerning the

1045
01:00:17,840 --> 01:00:22,040
Speaker 1: New York Times blatant, outrageous disregard for the truth in

1046
01:00:22,160 --> 01:00:27,200
Speaker 1: mischaracterizing mister Hannity's coverage of the coronavirus pandemic, blaming him

1047
01:00:27,200 --> 01:00:30,960
Speaker 1: for the tragic death of Joe Joyce, and the story

1048
01:00:31,000 --> 01:00:32,840
Speaker 1: goes on from bed. Now, this is the story. We've

1049
01:00:32,840 --> 01:00:36,800
Speaker 1: talked about it. Joel Pollock of Bright Bart brought it

1050
01:00:36,880 --> 01:00:38,680
Speaker 1: to my attention when I first thought him like, you're

1051
01:00:38,720 --> 01:00:43,360
Speaker 1: kidding me, claiming in their peace that this apparently wonderful

1052
01:00:43,400 --> 01:00:47,600
Speaker 1: family had taken off on a cruise. They cite my

1053
01:00:47,760 --> 01:00:51,320
Speaker 1: comments March ninth as well. They liked Hannity and they

1054
01:00:51,360 --> 01:00:55,560
Speaker 1: like Fox News, and Hannity said this on an early March.

1055
01:00:55,560 --> 01:00:58,400
Speaker 1: It turned out they were quoting me from March ninth.

1056
01:01:00,200 --> 01:01:04,080
Speaker 1: And the problem is the people that we're talking about

1057
01:01:04,360 --> 01:01:09,240
Speaker 1: didn't they left on their trip March first. That is

1058
01:01:09,280 --> 01:01:16,040
Speaker 1: called a lie. This is a demand for retraction. This

1059
01:01:16,440 --> 01:01:20,320
Speaker 1: is a preservation letter to preserve all information, emails, etc.

1060
01:01:20,880 --> 01:01:26,360
Speaker 1: Notes and a demand for an apology. I am tired

1061
01:01:26,480 --> 01:01:30,640
Speaker 1: of being lied about. There is more to come. I'm

1062
01:01:30,680 --> 01:01:33,400
Speaker 1: not taking it anymore. One of the things I've been

1063
01:01:33,440 --> 01:01:37,920
Speaker 1: blessed with this job is an ability to financially afford

1064
01:01:38,000 --> 01:01:42,680
Speaker 1: to be able to fight back. It is beyond slander,

1065
01:01:44,080 --> 01:01:48,200
Speaker 1: beyond character assassination. Now, if they were a credible news organization,

1066
01:01:48,280 --> 01:01:50,600
Speaker 1: they should have no problem. Remember they did the stealth

1067
01:01:50,760 --> 01:01:55,680
Speaker 1: edit which rendered their own headline useless. It's a long letter,

1068
01:01:55,920 --> 01:01:59,200
Speaker 1: It's twelve pages PDF. It's on Hannity dot Com, It's

1069
01:01:59,240 --> 01:02:03,320
Speaker 1: on Hannity on Twitter. Well more about this and the

1070
01:02:03,400 --> 01:02:06,360
Speaker 1: media is corruption as it relates to the double standard

1071
01:02:06,400 --> 01:02:08,880
Speaker 1: in their coverage of Tara Reid. That's why they're the

1072
01:02:08,960 --> 01:02:11,720
Speaker 1: mob all right, News round Up, Information Overload, Hour eight

1073
01:02:11,760 --> 01:02:13,640
Speaker 1: hundred and ninety four one, Sean, you want to be

1074
01:02:13,800 --> 01:02:18,600
Speaker 1: a part of this extravaganza. So well, in the last

1075
01:02:18,640 --> 01:02:21,640
Speaker 1: fifteen minutes or so, somewhere around there, I hired the

1076
01:02:21,680 --> 01:02:27,600
Speaker 1: attorney whose name is Charles Harder. He and Lynn Wood,

1077
01:02:27,600 --> 01:02:32,560
Speaker 1: I would argue, the best two libel attorneys in the country.

1078
01:02:32,800 --> 01:02:39,040
Speaker 1: And a preservation demand for attraction apology letter has been

1079
01:02:39,080 --> 01:02:43,200
Speaker 1: sent by my lawyer to the New York Slime Times.

1080
01:02:44,160 --> 01:02:46,280
Speaker 1: Why as well, as I said on the air after

1081
01:02:46,320 --> 01:02:49,240
Speaker 1: this first became public, they pretty much accused me of

1082
01:02:49,680 --> 01:02:53,960
Speaker 1: murder and they got facts wrong. And this is what

1083
01:02:54,040 --> 01:02:56,800
Speaker 1: it's going to be interesting here, because they think they're

1084
01:02:56,880 --> 01:03:00,320
Speaker 1: high and mighty. We all know that they got so

1085
01:03:00,400 --> 01:03:05,360
Speaker 1: much wrong so often on Russia, Russia, Russia, Russia, Russia, Ukraine,

1086
01:03:05,440 --> 01:03:07,960
Speaker 1: Ukraine and Peach and Peach. We know about the double standard.

1087
01:03:08,760 --> 01:03:12,280
Speaker 1: You know, we're watching everything that's going on now as

1088
01:03:12,320 --> 01:03:15,160
Speaker 1: it relates to this case of terror. Reid Well, the

1089
01:03:15,160 --> 01:03:17,320
Speaker 1: New York Times are up to their eyeballs and this too,

1090
01:03:17,440 --> 01:03:21,760
Speaker 1: I mean, you know yet yet here a credible allegation

1091
01:03:23,040 --> 01:03:27,760
Speaker 1: made by a former staffer of Joe Biden whose mother

1092
01:03:27,840 --> 01:03:30,760
Speaker 1: we now know having learned from the intercept, and I

1093
01:03:30,800 --> 01:03:33,120
Speaker 1: think it was Glenn Greenwald. And I want to get

1094
01:03:33,120 --> 01:03:36,400
Speaker 1: everybody Ryan Grimm and a bunch of other people that,

1095
01:03:36,520 --> 01:03:40,600
Speaker 1: in fact mother called into Larry King in nineteen ninety

1096
01:03:40,600 --> 01:03:45,200
Speaker 1: three talking about her daughter and what had happened. We

1097
01:03:45,280 --> 01:03:48,880
Speaker 1: now have not one, but we have multiple people that

1098
01:03:48,960 --> 01:03:55,400
Speaker 1: have stepped forward corroborating the assault that she described in

1099
01:03:55,560 --> 01:04:00,200
Speaker 1: this Intercept podcast. And when you compare and contrast the

1100
01:04:00,240 --> 01:04:06,280
Speaker 1: media coverage then to now, it is breathtaking. It's sadly predictable.

1101
01:04:06,320 --> 01:04:08,600
Speaker 1: I said in two thousand and seven journalism was dead

1102
01:04:10,040 --> 01:04:13,520
Speaker 1: eighty one questions. So far, Joe Biden has gotten none

1103
01:04:13,680 --> 01:04:17,520
Speaker 1: about terror Reid just like the same media covered for

1104
01:04:17,880 --> 01:04:22,640
Speaker 1: Joe Biden on tape, bragging saying, you're not getting the

1105
01:04:22,680 --> 01:04:26,760
Speaker 1: billion he told Ukraine until you fire that prosecutor, who

1106
01:04:26,840 --> 01:04:29,360
Speaker 1: he knew was warned by The New York Times, even

1107
01:04:30,120 --> 01:04:34,840
Speaker 1: according to reports, is investigating his zero experience son Hunter,

1108
01:04:34,920 --> 01:04:37,920
Speaker 1: who's paid millions and millions and millions of dollars. And

1109
01:04:37,960 --> 01:04:40,520
Speaker 1: when we get deeper into the China issue, we're going

1110
01:04:40,600 --> 01:04:43,600
Speaker 1: to look at the trip that Hunter zero experience took

1111
01:04:43,640 --> 01:04:47,160
Speaker 1: with then Vice President Joe to Asia, including China, and

1112
01:04:47,200 --> 01:04:50,160
Speaker 1: then the Bank of China deal that he got. We've

1113
01:04:50,160 --> 01:04:52,440
Speaker 1: been yet able to find any experience that would have

1114
01:04:52,520 --> 01:04:56,400
Speaker 1: qualified him for that either. Three weeks, ten interviews, eighty

1115
01:04:56,440 --> 01:05:01,680
Speaker 1: one questions, no mention at all of Tara Reid's allegation.

1116
01:05:02,640 --> 01:05:06,960
Speaker 1: Then you have over the weekend. We I mean, it's

1117
01:05:07,000 --> 01:05:12,840
Speaker 1: predictable again, but it's sad. You have literally three week

1118
01:05:13,000 --> 01:05:16,360
Speaker 1: you have you have all these people that are being

1119
01:05:16,440 --> 01:05:20,440
Speaker 1: named as potential vice presidential running mates for Joe Biden.

1120
01:05:20,800 --> 01:05:22,920
Speaker 1: Remember he said he would pick a woman. You have

1121
01:05:23,480 --> 01:05:27,560
Speaker 1: Stacy Abrams, we know that she was on a Sunday show.

1122
01:05:27,640 --> 01:05:30,600
Speaker 1: Chuck Todd, you got Jake Tapper, you got George Stephanopolis.

1123
01:05:31,320 --> 01:05:34,720
Speaker 1: All of them failed to ask Joe Biden's named potential

1124
01:05:34,800 --> 01:05:38,440
Speaker 1: running mates about these assault allegations. And then there was

1125
01:05:38,480 --> 01:05:42,320
Speaker 1: an incredible timeline put together by Foxnews dot Com showing,

1126
01:05:42,880 --> 01:05:44,640
Speaker 1: oh my gosh, if you look at how they treated

1127
01:05:44,720 --> 01:05:48,600
Speaker 1: Kavanaugh the way they're treating Joe Biden, it cannot be

1128
01:05:48,640 --> 01:05:52,960
Speaker 1: any more obvious of their abuse and their bias. And

1129
01:05:53,000 --> 01:05:55,400
Speaker 1: I've been saying their state run media extension of the

1130
01:05:56,000 --> 01:06:00,160
Speaker 1: extreme radical democratic party mop in my case, and IM

1131
01:06:00,160 --> 01:06:01,880
Speaker 1: not going to make this all about me. I'm just

1132
01:06:02,000 --> 01:06:06,680
Speaker 1: demanding what what they if? They care that they are

1133
01:06:06,720 --> 01:06:11,200
Speaker 1: a news organization. They say they got their facts wrong.

1134
01:06:12,080 --> 01:06:16,280
Speaker 1: The facts alone in this case are wrong, and it's

1135
01:06:16,280 --> 01:06:20,960
Speaker 1: been long overdue. This is not going to be the

1136
01:06:21,280 --> 01:06:24,120
Speaker 1: end of things here today. This is only the beginning.

1137
01:06:25,080 --> 01:06:29,320
Speaker 1: I just decided that it's time after you know, and

1138
01:06:29,480 --> 01:06:32,080
Speaker 1: even as the Washington Examiner rightly quoted me when I

1139
01:06:32,120 --> 01:06:34,920
Speaker 1: was on my television show dealing with this particular issue,

1140
01:06:36,200 --> 01:06:39,520
Speaker 1: you know, to smear me. You have a writer at

1141
01:06:39,520 --> 01:06:44,200
Speaker 1: the New York Times exploiting apparently a wonderful family man

1142
01:06:44,920 --> 01:06:47,760
Speaker 1: who died and having chosen to go on a cruise.

1143
01:06:48,480 --> 01:06:51,160
Speaker 1: They say, well, comments I made March ninth, they actually

1144
01:06:51,160 --> 01:06:55,480
Speaker 1: give the comments they claim, you know, well, that's one

1145
01:06:55,520 --> 01:06:59,120
Speaker 1: of the reasons mister Hannity made comments March ninth saying

1146
01:06:59,160 --> 01:07:02,240
Speaker 1: I'm that'd been into this decision. The guy had left

1147
01:07:02,240 --> 01:07:06,080
Speaker 1: for his trip on March first. Then they went in

1148
01:07:06,200 --> 01:07:10,200
Speaker 1: with their stealth edit, which to me is nothing else

1149
01:07:10,240 --> 01:07:13,840
Speaker 1: but an admission of guilt, fully aware that they got

1150
01:07:13,880 --> 01:07:17,840
Speaker 1: it wrong instead of doing the right thing journalistically. Because

1151
01:07:17,840 --> 01:07:21,160
Speaker 1: their journalists, you would think they'd say, Okay, oh, we

1152
01:07:21,280 --> 01:07:26,040
Speaker 1: got this wrong because it took their entire narrative headline

1153
01:07:26,080 --> 01:07:28,680
Speaker 1: and blew it up in their face. No, they tried

1154
01:07:28,720 --> 01:07:31,680
Speaker 1: to hide it an admission of guilt in my mind,

1155
01:07:32,800 --> 01:07:35,040
Speaker 1: and if they do the right thing, the right thing

1156
01:07:35,040 --> 01:07:42,320
Speaker 1: would be to correct the record and apologize and retract.

1157
01:07:44,000 --> 01:07:47,560
Speaker 1: You know, sometimes people can make mistakes. They've been called

1158
01:07:47,600 --> 01:07:50,960
Speaker 1: out on numerous occasions. I had made them acutely aware

1159
01:07:52,200 --> 01:07:55,240
Speaker 1: of the things that I've said on the coronavirus when

1160
01:07:55,280 --> 01:07:57,720
Speaker 1: I said it, and frankly, as I look at the

1161
01:07:57,760 --> 01:07:59,920
Speaker 1: timeline that's also in you can find all of the

1162
01:08:00,040 --> 01:08:02,880
Speaker 1: us on Hannity dot Com and at Sean Hannity on Twitter,

1163
01:08:04,240 --> 01:08:06,520
Speaker 1: but you can find all of the things that I

1164
01:08:06,560 --> 01:08:09,560
Speaker 1: said at the time that I said it, and it's

1165
01:08:09,600 --> 01:08:14,280
Speaker 1: there for anybody to see. I also compare it to

1166
01:08:14,360 --> 01:08:16,400
Speaker 1: I mean, you want to talk about pattern and practices.

1167
01:08:17,040 --> 01:08:19,840
Speaker 1: This was like the third in a series of things

1168
01:08:19,880 --> 01:08:22,080
Speaker 1: that was said about me. Only one of their reporters

1169
01:08:22,120 --> 01:08:24,960
Speaker 1: actually noted that I had said something, because I called

1170
01:08:24,960 --> 01:08:28,680
Speaker 1: attention to all of them early about what my timeline is.

1171
01:08:28,800 --> 01:08:30,800
Speaker 1: It's there, It's been there, I think since March. What

1172
01:08:31,000 --> 01:08:35,599
Speaker 1: eighteenth or somewhere around there. On Hannity dot Com. We've

1173
01:08:35,600 --> 01:08:38,080
Speaker 1: called people's attention to it. We've referred to it on air,

1174
01:08:38,160 --> 01:08:40,280
Speaker 1: both on radio and TV. Nobody had called me and

1175
01:08:40,320 --> 01:08:42,479
Speaker 1: asked me about this. I could have corrected it for them,

1176
01:08:42,479 --> 01:08:45,080
Speaker 1: had they taken the time to call me. I informed

1177
01:08:45,080 --> 01:08:49,439
Speaker 1: them of the fact numerous times. They didn't care. We

1178
01:08:49,479 --> 01:08:53,439
Speaker 1: went back with January twenty seventh. We had Anthony Fauci

1179
01:08:53,479 --> 01:08:57,880
Speaker 1: on Hannity January twenty eighth. I interviewed three different positions

1180
01:08:58,240 --> 01:09:02,800
Speaker 1: about the unprecedented nature of coronavirus. The first known case

1181
01:09:02,880 --> 01:09:05,160
Speaker 1: was January twenty first, six days later. I was on

1182
01:09:05,200 --> 01:09:07,439
Speaker 1: this and I was asking a lot of questions. I

1183
01:09:07,560 --> 01:09:10,719
Speaker 1: just I didn't like what I was reading and seeing.

1184
01:09:11,720 --> 01:09:14,400
Speaker 1: I asked the President February second, when I interviewed him

1185
01:09:14,400 --> 01:09:17,160
Speaker 1: for the Super Bowl. I had doctor Fouci back on

1186
01:09:17,320 --> 01:09:24,200
Speaker 1: February tenth, asking him about coronavirus, more specifically about asymptomatic

1187
01:09:24,280 --> 01:09:29,080
Speaker 1: people walking around transmitting the virus. You know, in the

1188
01:09:30,200 --> 01:09:33,280
Speaker 1: on the very date that they say that my comments

1189
01:09:33,320 --> 01:09:35,640
Speaker 1: caused somebody who was already on a cruise to go

1190
01:09:35,720 --> 01:09:40,280
Speaker 1: on a cruise. Well, they even decided to edit that

1191
01:09:40,400 --> 01:09:44,000
Speaker 1: as well. And you know, because I had said in

1192
01:09:44,040 --> 01:09:48,439
Speaker 1: that very show that older people with underlying conditions or

1193
01:09:48,600 --> 01:09:53,439
Speaker 1: compromised immune systems, yeah, they shouldn't be going on cruises.

1194
01:09:53,600 --> 01:09:57,599
Speaker 1: March ninth. By the way, doctor Fouchi said that healthy

1195
01:09:57,640 --> 01:10:00,800
Speaker 1: people can go on cruises. It doesn't mean I don't

1196
01:10:00,800 --> 01:10:03,360
Speaker 1: think doctor Fauci did. He spent his whole life helping

1197
01:10:03,400 --> 01:10:08,880
Speaker 1: people to live, saving lives, working with pandemics. The guy

1198
01:10:09,000 --> 01:10:11,320
Speaker 1: is a hero, doesn't But we were all lied to.

1199
01:10:13,040 --> 01:10:16,479
Speaker 1: That was another point that we're making as well here

1200
01:10:18,160 --> 01:10:20,759
Speaker 1: because we have to take it seriously, as I said

1201
01:10:21,000 --> 01:10:24,880
Speaker 1: many many times, and that I also believed in our

1202
01:10:24,960 --> 01:10:29,760
Speaker 1: great scientists and medical researchers and everybody else. We talked

1203
01:10:29,760 --> 01:10:31,960
Speaker 1: about this right from the get go, very early on.

1204
01:10:32,160 --> 01:10:34,200
Speaker 1: It's all there. You can see it at Hannity dot

1205
01:10:34,200 --> 01:10:39,439
Speaker 1: Com and on at Sean Hannity on Twitter and all

1206
01:10:39,439 --> 01:10:43,400
Speaker 1: the case law that we believe. You know, it's it's

1207
01:10:43,400 --> 01:10:49,919
Speaker 1: a higher standard, but we believe that pattern practice, willful

1208
01:10:49,960 --> 01:10:54,720
Speaker 1: disregard for the truth, libel, slander all applicable here, you know.

1209
01:10:54,720 --> 01:10:56,960
Speaker 1: And then there's the whole you know, you want to

1210
01:10:56,960 --> 01:11:00,639
Speaker 1: talk about what public figures were saying well, we Mayor

1211
01:11:00,720 --> 01:11:03,639
Speaker 1: Deblasio telling people to get out on the town despite

1212
01:11:03,640 --> 01:11:09,120
Speaker 1: coronavirus on March second. In a tweet on March tenth, MSDNC,

1213
01:11:09,280 --> 01:11:12,160
Speaker 1: we have twenty five cases of coronavirus. We want to

1214
01:11:12,240 --> 01:11:14,880
Speaker 1: encourage that if you're under fifty and healthy, which is

1215
01:11:14,960 --> 01:11:18,280
Speaker 1: most of New Yorkers, there's very little threat here. March tenth,

1216
01:11:18,280 --> 01:11:23,360
Speaker 1: he said that Governor Cuomo, I mean again, we were

1217
01:11:23,439 --> 01:11:25,719
Speaker 1: lied to. We should have bought the ventilators. Of my view,

1218
01:11:26,080 --> 01:11:28,519
Speaker 1: could have been a little more appreciative at times. Now

1219
01:11:28,520 --> 01:11:30,799
Speaker 1: we know that he really should have not allowed COVID

1220
01:11:30,880 --> 01:11:33,960
Speaker 1: nineteen patients into nursing homes. You know, but he was

1221
01:11:34,000 --> 01:11:38,000
Speaker 1: saying March first, no reason for undue anxiety. The general

1222
01:11:38,080 --> 01:11:42,080
Speaker 1: risk remains low in New York. March second. So when

1223
01:11:42,120 --> 01:11:44,200
Speaker 1: you're saying what happened in other countries is going to

1224
01:11:44,280 --> 01:11:46,519
Speaker 1: happen here, he said, Well, we have the best healthcare

1225
01:11:46,600 --> 01:11:48,920
Speaker 1: system in the world. March second. He said that, and

1226
01:11:49,080 --> 01:11:52,320
Speaker 1: excuse our arrogance as New Yorkers. I speak for the mayor. Also,

1227
01:11:53,040 --> 01:11:55,720
Speaker 1: we have the best healthcare system on the planet. So

1228
01:11:55,840 --> 01:11:58,120
Speaker 1: when we're when you're saying what happened in other countries

1229
01:11:58,120 --> 01:12:01,639
Speaker 1: with corona could happen here. Well, we don't think it's

1230
01:12:01,640 --> 01:12:03,080
Speaker 1: going to be as bad as it was in other

1231
01:12:03,120 --> 01:12:08,120
Speaker 1: countries February twenty ninth. Even doctor Fauci said it was

1232
01:12:08,200 --> 01:12:10,639
Speaker 1: a you know, the risk is low, the threat is low,

1233
01:12:11,040 --> 01:12:14,200
Speaker 1: and I'm not criticizing him. He said, right now, the

1234
01:12:14,280 --> 01:12:18,280
Speaker 1: risk is still low. February twenty ninth. So and then

1235
01:12:18,280 --> 01:12:19,800
Speaker 1: you can look at the New York Times and the

1236
01:12:19,800 --> 01:12:22,320
Speaker 1: Washington Post and CNN. We have all this in there,

1237
01:12:22,760 --> 01:12:26,960
Speaker 1: Kennedy dot com and Joe contra joins us. He is,

1238
01:12:28,600 --> 01:12:30,280
Speaker 1: you know, we kept him out of the loop, so

1239
01:12:30,320 --> 01:12:33,800
Speaker 1: I wanted to give him some information. Your thoughts, Well,

1240
01:12:33,840 --> 01:12:35,639
Speaker 1: if you go back to Februation, on to your point

1241
01:12:35,680 --> 01:12:38,840
Speaker 1: New York Times headline who says it's not safe to

1242
01:12:38,840 --> 01:12:42,200
Speaker 1: travel to China, the coronavirus travel ban is unjust and

1243
01:12:42,280 --> 01:12:47,200
Speaker 1: doesn't work anyway, then they say also in Europe, fear

1244
01:12:47,600 --> 01:12:51,400
Speaker 1: spreads faster than the coronavirus itself that February eighteenth, about

1245
01:12:51,439 --> 01:12:53,600
Speaker 1: forty cases have been confirmed in Europe, but people in

1246
01:12:53,600 --> 01:12:57,000
Speaker 1: places associated with the illness face being stigmatized. So you

1247
01:12:57,040 --> 01:13:00,479
Speaker 1: see where their priorities were, and again look to go

1248
01:13:00,560 --> 01:13:03,719
Speaker 1: back and play this gotcha game with people, and particularly

1249
01:13:03,760 --> 01:13:06,040
Speaker 1: with for instance, you bring up doctor Fauci, right, who's

1250
01:13:06,080 --> 01:13:09,680
Speaker 1: been doing this since the Reagan administration, is the hero pandemics.

1251
01:13:10,200 --> 01:13:12,240
Speaker 1: I'm not critical of him in any way. I have

1252
01:13:12,280 --> 01:13:15,800
Speaker 1: no criticism him in a math equation if you're given

1253
01:13:15,840 --> 01:13:18,599
Speaker 1: certain data to put into the equation and that data

1254
01:13:18,680 --> 01:13:20,599
Speaker 1: is wrong, or in this case, it came from China

1255
01:13:20,800 --> 01:13:23,639
Speaker 1: and the World Health Organization saying that there wasn't human

1256
01:13:23,760 --> 01:13:26,439
Speaker 1: human transmission or all the other things that China lined

1257
01:13:26,479 --> 01:13:28,479
Speaker 1: about in terms of the number of cases, the number

1258
01:13:28,479 --> 01:13:30,599
Speaker 1: of deaths. Of course Fauci's going to come to that

1259
01:13:30,880 --> 01:13:34,559
Speaker 1: conclusion or other people than relying on Fauci for that

1260
01:13:34,640 --> 01:13:38,280
Speaker 1: information in the media. So look, we go back to

1261
01:13:38,320 --> 01:13:41,360
Speaker 1: this one hundred times. But doctor Fauci told in one

1262
01:13:41,360 --> 01:13:43,680
Speaker 1: interview on January twenty first, quote, this is not a

1263
01:13:43,680 --> 01:13:45,840
Speaker 1: major threat to the people of the United States, and

1264
01:13:45,880 --> 01:13:48,280
Speaker 1: this is not something that the citizens of the United

1265
01:13:48,320 --> 01:13:50,800
Speaker 1: States should be worried about right now. And as you said,

1266
01:13:50,800 --> 01:13:53,800
Speaker 1: he mentioned going on cruises as late as March ninth,

1267
01:13:53,840 --> 01:13:57,320
Speaker 1: again based on the information that we had at the time.

1268
01:13:57,360 --> 01:14:00,800
Speaker 1: Because this is an unprecedented event to your lawsuit. As

1269
01:14:00,800 --> 01:14:03,519
Speaker 1: far as The New York Times is concerned, I'd be

1270
01:14:03,560 --> 01:14:05,879
Speaker 1: worried to find them because now we have a precedent,

1271
01:14:06,000 --> 01:14:10,040
Speaker 1: and that precedent came sean from the Covington Catholic lawsuit

1272
01:14:10,080 --> 01:14:13,360
Speaker 1: against the Washington Post, and then namely CNN, who settled.

1273
01:14:13,400 --> 01:14:14,880
Speaker 1: We don't know for how much, but they suited for

1274
01:14:14,880 --> 01:14:16,439
Speaker 1: two hundred and seventy five millions, So if you're going

1275
01:14:16,520 --> 01:14:17,960
Speaker 1: to settle, I gotta think that it was a pretty

1276
01:14:18,040 --> 01:14:21,479
Speaker 1: high number. So suddenly now it was really hard to

1277
01:14:21,479 --> 01:14:24,720
Speaker 1: sue news organizations for libel or slander because you had

1278
01:14:24,760 --> 01:14:28,200
Speaker 1: to prove damages. But since CNN settled on that, that said, boy,

1279
01:14:28,479 --> 01:14:30,519
Speaker 1: we got this wrong. We'd better settle on this. Because

1280
01:14:30,720 --> 01:14:32,840
Speaker 1: my lawyer is the one that won the Gawker case.

1281
01:14:32,920 --> 01:14:36,880
Speaker 1: Remember that Landmark case. That's right, the whole Cogan case. Right,

1282
01:14:37,040 --> 01:14:40,519
Speaker 1: that's correct, that's right, and whole Coogan. Basically what happened

1283
01:14:40,520 --> 01:14:42,479
Speaker 1: with Gawker was then I will tell you that I'll

1284
01:14:42,520 --> 01:14:46,719
Speaker 1: tell you this in terms of the confidence if if

1285
01:14:46,720 --> 01:14:51,800
Speaker 1: that goes forward, extremely high. Well yeah, and by the way,

1286
01:14:51,920 --> 01:14:53,920
Speaker 1: this is not my only this is not the only

1287
01:14:54,000 --> 01:14:56,680
Speaker 1: letter that I'm going to be sending out by the way,

1288
01:14:57,160 --> 01:15:00,320
Speaker 1: I will say that you can break news. Okay, thank you.

1289
01:15:00,920 --> 01:15:02,479
Speaker 1: I want to ask you about Tara Reid when we

1290
01:15:02,520 --> 01:15:04,519
Speaker 1: get back. Joe conscios with US eight hundred and ninety

1291
01:15:04,520 --> 01:15:05,960
Speaker 1: four one Seawn, if you want to be a part

1292
01:15:05,960 --> 01:15:09,400
Speaker 1: of the program. There's a reason I say they are

1293
01:15:09,800 --> 01:15:13,479
Speaker 1: the mob, because that's pretty much what they are. It is.

1294
01:15:13,680 --> 01:15:15,640
Speaker 1: You know, now we have the case. Joe conscia is

1295
01:15:15,680 --> 01:15:20,920
Speaker 1: with US commentator opinion columnists with the HILM focused on media.

1296
01:15:21,320 --> 01:15:24,280
Speaker 1: You watch what I saw this weekend. I mean it's

1297
01:15:24,320 --> 01:15:26,400
Speaker 1: summed up in a great article on the Free Beacon.

1298
01:15:27,000 --> 01:15:28,920
Speaker 1: You know, Joe Biden has yet to face a single

1299
01:15:29,040 --> 01:15:33,559
Speaker 1: question on sexual assault allegations. When you look at the

1300
01:15:33,800 --> 01:15:38,160
Speaker 1: number of times he has done media and they never

1301
01:15:38,240 --> 01:15:41,840
Speaker 1: will ask him the question. Ten appearances, eighty one questions,

1302
01:15:42,040 --> 01:15:46,120
Speaker 1: zero questions about Tara Reid as corroboration and the call

1303
01:15:46,200 --> 01:15:48,920
Speaker 1: from a mother on Larry King. Your thoughts, Oh so

1304
01:15:49,080 --> 01:15:50,840
Speaker 1: it's not so much what you watched, it's what you

1305
01:15:50,920 --> 01:15:53,920
Speaker 1: didn't watch, right. That's called the bias of omission. That's

1306
01:15:53,960 --> 01:15:56,040
Speaker 1: the most insidious kind of bias that's out there because

1307
01:15:56,040 --> 01:15:59,160
Speaker 1: you're suppressing information that the public should know and look,

1308
01:15:59,200 --> 01:16:02,479
Speaker 1: no interview with the presumptive Democratic nominee Joe Biden should

1309
01:16:02,479 --> 01:16:06,599
Speaker 1: occur moving forward without him being question on this, especially

1310
01:16:06,640 --> 01:16:09,639
Speaker 1: given the new evidence that has come out. And look,

1311
01:16:09,920 --> 01:16:12,160
Speaker 1: even the people that want to be his vice president,

1312
01:16:12,200 --> 01:16:15,839
Speaker 1: all women need to be questioned on that. Here's Stacy

1313
01:16:15,880 --> 01:16:19,240
Speaker 1: Abrams just in February of I'm sorry September of twenty

1314
01:16:19,439 --> 01:16:22,479
Speaker 1: eighteen quote after the courageous and compelling testimony of doctor

1315
01:16:22,520 --> 01:16:26,240
Speaker 1: Christine BLOSSI forward yesterday. It is shameful that Kavanall's nomination

1316
01:16:26,280 --> 01:16:28,679
Speaker 1: is being rushed forward. I believe women, and I believe

1317
01:16:28,760 --> 01:16:31,240
Speaker 1: survivors of violence always deserve to be supported, to have

1318
01:16:31,360 --> 01:16:34,920
Speaker 1: their voices heard. Now, why if you have Stacey Abrams on,

1319
01:16:34,960 --> 01:16:37,280
Speaker 1: if you're Jake Kapper, Chuck Todd, you don't read that

1320
01:16:37,360 --> 01:16:39,200
Speaker 1: quote factor here and say this is the man that

1321
01:16:39,240 --> 01:16:41,400
Speaker 1: you want to work for, Joe Biden. He's accused of

1322
01:16:41,439 --> 01:16:45,720
Speaker 1: sexual harassment or misconduct. What do you say to that

1323
01:16:46,080 --> 01:16:47,840
Speaker 1: and why would you want to work for him? When

1324
01:16:47,840 --> 01:16:50,080
Speaker 1: you say you believe all women and believe survivors of

1325
01:16:50,160 --> 01:16:52,320
Speaker 1: violence that they always need to be supported and heard.

1326
01:16:52,439 --> 01:16:54,679
Speaker 1: That's what Tim Russer used to do. A real journalist

1327
01:16:54,720 --> 01:16:56,719
Speaker 1: and now we're not seeing it. And I can't believe

1328
01:16:56,720 --> 01:16:59,920
Speaker 1: Sean that there's not one interviewer out there, not one

1329
01:17:00,120 --> 01:17:03,679
Speaker 1: journalist that when they get Joe Biden in an interview,

1330
01:17:04,000 --> 01:17:07,160
Speaker 1: that that they're not asking this question because it is

1331
01:17:07,240 --> 01:17:10,240
Speaker 1: relevant now at this point and to avoid it either

1332
01:17:10,520 --> 01:17:14,280
Speaker 1: they are agreeing these interviewers to some sort of predetermined

1333
01:17:14,640 --> 01:17:17,120
Speaker 1: agreement that they're not going to bring it up. The

1334
01:17:17,160 --> 01:17:19,080
Speaker 1: campaign said, don't bring it up. Okay, we want access

1335
01:17:19,080 --> 01:17:20,920
Speaker 1: to the vice president. Fine, we want that or some

1336
01:17:20,960 --> 01:17:23,040
Speaker 1: sort of memos. Gone. Well, I can say is you

1337
01:17:23,080 --> 01:17:26,040
Speaker 1: can't question them about it. I've spoken to Tara Reid.

1338
01:17:26,360 --> 01:17:28,559
Speaker 1: I'm not going to talk about the conversation. She is

1339
01:17:28,600 --> 01:17:34,479
Speaker 1: extremely smart, she is extremely confident, are extremely articulate, and

1340
01:17:35,120 --> 01:17:37,680
Speaker 1: you know she has all of these people corroborating her

1341
01:17:37,720 --> 01:17:40,800
Speaker 1: story now and they're still not asking. I think they're

1342
01:17:40,840 --> 01:17:43,080
Speaker 1: afraid to. All Right, we're gonna take a break. Joe

1343
01:17:43,400 --> 01:17:45,000
Speaker 1: stay with us. On the other side. We expect the

1344
01:17:45,040 --> 01:17:47,920
Speaker 1: coronavirus task for his briefing. We'll find out when that comes.

1345
01:17:47,960 --> 01:17:50,160
Speaker 1: We'll go to it more with Joe conscho Hannity tonight

1346
01:17:50,200 --> 01:17:52,760
Speaker 1: at nine. A lot going on. We'll bring you all

1347
01:17:52,760 --> 01:17:55,240
Speaker 1: the news. The mob never will straight ahead at twenty

1348
01:17:55,240 --> 01:17:56,880
Speaker 1: five till the top of the hour. At some point

1349
01:17:56,960 --> 01:18:01,040
Speaker 1: we expect we might be interrupted for the Coronavirus Task

1350
01:18:01,080 --> 01:18:04,680
Speaker 1: Force Daily Briefing. If we do, we'll go to that

1351
01:18:04,840 --> 01:18:09,320
Speaker 1: and for stations along the Sean Hannity Show network. Please no,

1352
01:18:09,439 --> 01:18:11,920
Speaker 1: we will follow our procedure as we have in the

1353
01:18:12,000 --> 01:18:15,439
Speaker 1: last number of weeks. One last thing, the coronavirus pandemic.

1354
01:18:15,439 --> 01:18:18,040
Speaker 1: It has put millions of people out of work. They

1355
01:18:18,080 --> 01:18:20,640
Speaker 1: were relying on unemployment benefits to get them through the

1356
01:18:20,720 --> 01:18:25,040
Speaker 1: FTC now has received more than a hundred of reports.

1357
01:18:25,760 --> 01:18:29,360
Speaker 1: I mean, it's unbelievable of identity theft linked to the

1358
01:18:29,360 --> 01:18:34,040
Speaker 1: coronavirus pandemic. Unfortunately, laid off workers discovered they're already victims

1359
01:18:34,080 --> 01:18:37,280
Speaker 1: of identity theft when they file for unemployment only to

1360
01:18:37,360 --> 01:18:40,720
Speaker 1: find out someone else is getting their benefits. Is what

1361
01:18:40,720 --> 01:18:44,080
Speaker 1: we've been warning about. Someone's identity has stolen every two seconds.

1362
01:18:44,600 --> 01:18:48,320
Speaker 1: That's why you need LifeLock. They see the threat you'll

1363
01:18:48,360 --> 01:18:51,400
Speaker 1: miss on your own and you don't want people taking

1364
01:18:51,439 --> 01:18:54,000
Speaker 1: out credit cards, loans in your name, getting to your

1365
01:18:54,000 --> 01:18:58,240
Speaker 1: bank account, retirement account, destroying your reputation. And if you

1366
01:18:58,280 --> 01:19:00,240
Speaker 1: do have a problem, they have a team arrestorate and

1367
01:19:00,280 --> 01:19:03,200
Speaker 1: specialists that fix the problems for you. Right now, you

1368
01:19:03,240 --> 01:19:05,799
Speaker 1: go to one eight hundred LifeLock or LifeLock dot com

1369
01:19:06,360 --> 01:19:09,120
Speaker 1: and on top of their already low annual rate, you'll

1370
01:19:09,160 --> 01:19:12,439
Speaker 1: save an additional twenty five LifeLock dot com one eight

1371
01:19:12,520 --> 01:19:15,320
Speaker 1: hundred LifeLock. All right, if you're just joining us, Joe

1372
01:19:15,360 --> 01:19:19,200
Speaker 1: conscha is with us. Just released in the last hour

1373
01:19:19,360 --> 01:19:22,960
Speaker 1: letter from my attorney directly to the New York Times.

1374
01:19:23,840 --> 01:19:26,519
Speaker 1: As it relates to a demand for a retraction and

1375
01:19:26,600 --> 01:19:31,479
Speaker 1: an apology. Then we have and it's kind of predictable. Sadly,

1376
01:19:31,640 --> 01:19:37,160
Speaker 1: you have three Sunday shows with Joe Biden candidates names

1377
01:19:37,160 --> 01:19:40,439
Speaker 1: mentioned to be a possible VP running mate. None of

1378
01:19:40,479 --> 01:19:45,120
Speaker 1: them ask a single thing about the allegation of Tara Reid,

1379
01:19:46,280 --> 01:19:51,440
Speaker 1: very specific allegation. Three weeks, ten interviews, eighty one questions,

1380
01:19:51,960 --> 01:19:54,880
Speaker 1: not one question about this to the Biden campaign, Just

1381
01:19:54,960 --> 01:19:57,160
Speaker 1: like they covered for Ukraine. You're not getting the billion

1382
01:19:57,200 --> 01:20:01,400
Speaker 1: until you fire the prosecutor investigation eating my zero experience

1383
01:20:01,479 --> 01:20:05,280
Speaker 1: son being paid millions. Oh, nobody wanted to touch that either.

1384
01:20:06,320 --> 01:20:09,200
Speaker 1: The only they don't care about quid pro quos with Joe.

1385
01:20:09,439 --> 01:20:12,320
Speaker 1: It's how corrupt an abuse of the biases in this

1386
01:20:12,479 --> 01:20:17,200
Speaker 1: media um. Terry Read's neighbors now stepped forward to corroborate

1387
01:20:17,840 --> 01:20:20,880
Speaker 1: the assault allegation. She told a friend at the time,

1388
01:20:20,960 --> 01:20:22,840
Speaker 1: she told her brother at the time, she told her

1389
01:20:22,840 --> 01:20:25,719
Speaker 1: mother at the time. Her mother called in the Larry

1390
01:20:25,800 --> 01:20:29,559
Speaker 1: King as we played earlier. Anyway, Joe Biden, Joe Biden,

1391
01:20:30,040 --> 01:20:33,040
Speaker 1: Joe Biden never has to answer. Joe Concha is here

1392
01:20:33,080 --> 01:20:35,439
Speaker 1: to comment on it. That was like my Biden moment?

1393
01:20:35,840 --> 01:20:38,840
Speaker 1: Is it super Thursday yet? Well, you are in your

1394
01:20:38,840 --> 01:20:40,960
Speaker 1: fifties now, Sewan, And that's when the mind begins to go,

1395
01:20:41,120 --> 01:20:44,400
Speaker 1: so all right, really, Joleen, you're gonna start really don't

1396
01:20:44,439 --> 01:20:48,719
Speaker 1: tell me? All right? Having fun here anyway? Yeah, look,

1397
01:20:49,680 --> 01:20:52,040
Speaker 1: Larry King tape is amazing, Right, that's on CNN in

1398
01:20:52,160 --> 01:20:55,639
Speaker 1: nineteen ninety three, where Tera Read's mother calls in and

1399
01:20:55,680 --> 01:20:59,679
Speaker 1: describes what happens. And the fact is that CNN still

1400
01:20:59,760 --> 01:21:03,320
Speaker 1: has not covered this story on their air, despite part

1401
01:21:03,320 --> 01:21:06,559
Speaker 1: of the story occurring on their air at one point,

1402
01:21:06,720 --> 01:21:09,360
Speaker 1: and they have a whole media team there that's supposed

1403
01:21:09,360 --> 01:21:11,760
Speaker 1: to analyze the stuff. Why we cover stories, why we

1404
01:21:11,800 --> 01:21:14,080
Speaker 1: don't how they're covered, and they're not touching it either.

1405
01:21:14,120 --> 01:21:16,559
Speaker 1: So clearly a directive has come down from above saying

1406
01:21:16,560 --> 01:21:18,320
Speaker 1: that we are not to touch this in any way.

1407
01:21:18,320 --> 01:21:20,120
Speaker 1: And look, it's just so blatant. I don't even know

1408
01:21:20,160 --> 01:21:21,960
Speaker 1: if I have to say. It's so obvious. If you're

1409
01:21:22,000 --> 01:21:25,160
Speaker 1: a Republican or you're a conservative consider right leaning, and

1410
01:21:25,160 --> 01:21:28,519
Speaker 1: you're accused of sexual harassment, due process, forget that you're

1411
01:21:28,560 --> 01:21:31,080
Speaker 1: guilty until proven editing. But if you're on the left,

1412
01:21:31,080 --> 01:21:32,479
Speaker 1: and if you're a Joe Biden and you're going to

1413
01:21:32,520 --> 01:21:35,360
Speaker 1: be the Democratic nominee, then it's all hands on deck

1414
01:21:35,400 --> 01:21:37,880
Speaker 1: and we ain't gonna touch this. We're gonna have to

1415
01:21:37,920 --> 01:21:40,360
Speaker 1: say goodbye to Joe Contra Joe, thank you. We'll have

1416
01:21:40,479 --> 01:21:44,120
Speaker 1: you back soon. The President is Corona Task Force Daily Briefing.

1417
01:21:44,200 --> 01:21:46,680
Speaker 1: We will cover this, take it straight through the enfestations

1418
01:21:46,680 --> 01:21:49,639
Speaker 1: along our network aligned as we go to the President.

1419
01:21:55,960 --> 01:22:06,559
Speaker 1: Thank you very much, thank you. Today, i'd like to

1420
01:22:06,600 --> 01:22:12,920
Speaker 1: provide you with an update in our war against the coronavirus.

1421
01:22:13,880 --> 01:22:18,680
Speaker 1: Thanks to our comprehensive strategy and extraordinary devotion to our citizens,

1422
01:22:19,160 --> 01:22:23,040
Speaker 1: we've had such tremendous support all over. We continue to

1423
01:22:23,040 --> 01:22:27,080
Speaker 1: see encouraging signs of progress. Cases in New York Area,

1424
01:22:27,560 --> 01:22:37,440
Speaker 1: New Orleans, Detroit, Boston, and Houston are declining. Denver, Seattle, Philadelphia, Washington, DC, Atlanta, Nashville, Indianapolis,

1425
01:22:37,439 --> 01:22:40,960
Speaker 1: and Saint Louis are all stable in declining. All parts

1426
01:22:40,960 --> 01:22:44,240
Speaker 1: of the country are either in good shape getting better

1427
01:22:44,560 --> 01:22:48,880
Speaker 1: in all cases getting better, and we're seeing very little

1428
01:22:49,000 --> 01:22:53,600
Speaker 1: that we're going to look at as a superseding hotspot.

1429
01:22:55,320 --> 01:23:00,559
Speaker 1: Things are moving along. Really a horrible situation that we've

1430
01:23:00,560 --> 01:23:04,559
Speaker 1: been confronted with, but they're moving along as we express

1431
01:23:04,640 --> 01:23:09,000
Speaker 1: our gratitude for these hard fought gains. However, we continue

1432
01:23:09,040 --> 01:23:12,200
Speaker 1: to mourn with thousands of families across the Country's loved

1433
01:23:12,200 --> 01:23:16,519
Speaker 1: ones have been stolen from us by the invisible enemy.

1434
01:23:17,240 --> 01:23:21,800
Speaker 1: We grieve by their side as one family, this great

1435
01:23:21,840 --> 01:23:26,680
Speaker 1: American family, and we do grieve. We also stand in

1436
01:23:26,760 --> 01:23:30,280
Speaker 1: solidarity with a thousands of Americans who are ill and

1437
01:23:30,400 --> 01:23:34,559
Speaker 1: waging a brave fight against the virus. We're doing everything

1438
01:23:34,560 --> 01:23:37,120
Speaker 1: in our power to heal the sick and to gradually

1439
01:23:37,160 --> 01:23:41,920
Speaker 1: reopen our nation and to safely get our people back

1440
01:23:41,960 --> 01:23:43,760
Speaker 1: to work. They want to get back to work, and

1441
01:23:43,800 --> 01:23:46,320
Speaker 1: they want to get back to work. Soon. There's a

1442
01:23:46,439 --> 01:23:50,000
Speaker 1: hunger for getting our country back, and it's happening, and

1443
01:23:50,040 --> 01:23:54,040
Speaker 1: it's happening faster than people would think. Ensuring the health

1444
01:23:54,080 --> 01:23:56,720
Speaker 1: of our economy is vital to ensure the health of

1445
01:23:56,720 --> 01:24:00,360
Speaker 1: our nation. These goals work in tandem, they work side

1446
01:24:00,360 --> 01:24:04,960
Speaker 1: by side. It's clear that our aggressive strategy to slow

1447
01:24:05,000 --> 01:24:09,000
Speaker 1: the spread has been working and is saving countless lives

1448
01:24:10,120 --> 01:24:13,960
Speaker 1: for those who are infected. We've taken unprecedented action to

1449
01:24:14,160 --> 01:24:16,680
Speaker 1: ensure they have the highest level of care anywhere in

1450
01:24:16,720 --> 01:24:20,839
Speaker 1: the world. The federal government has built more than eleven

1451
01:24:20,920 --> 01:24:25,280
Speaker 1: thousand extra beds, shipped or delivered hundreds of millions of

1452
01:24:25,320 --> 01:24:29,080
Speaker 1: pieces of personal protective equipment, as you know, in fact,

1453
01:24:29,160 --> 01:24:31,679
Speaker 1: some of the people here are going to be talking

1454
01:24:31,720 --> 01:24:34,720
Speaker 1: about it. Some of our greatest executive some of the

1455
01:24:34,720 --> 01:24:39,680
Speaker 1: greatest anywhere in the world, and distributed over ten thousand ventilators,

1456
01:24:39,680 --> 01:24:42,519
Speaker 1: and we now have in a very short period of time,

1457
01:24:42,600 --> 01:24:45,799
Speaker 1: many have been delivered and hundreds of thousands are being built.

1458
01:24:46,520 --> 01:24:51,559
Speaker 1: And frankly, every governor has more ventilators right now than

1459
01:24:51,600 --> 01:24:53,880
Speaker 1: they know what to do with. They're actually shipping them

1460
01:24:53,880 --> 01:24:58,040
Speaker 1: to different locations, and we're shipping some to our allies

1461
01:24:58,040 --> 01:25:02,880
Speaker 1: and others throughout the world because we have ventilators. Like.

1462
01:25:03,360 --> 01:25:05,880
Speaker 1: The job that they've done in getting this very complex

1463
01:25:05,920 --> 01:25:11,000
Speaker 1: piece of equipment built is actually incredible. You don't hear

1464
01:25:11,040 --> 01:25:15,320
Speaker 1: about ventilators anymore except in a positive way. We've launched

1465
01:25:15,320 --> 01:25:20,080
Speaker 1: the most ambitious testing effort likewise on Earth. The United

1466
01:25:20,120 --> 01:25:24,160
Speaker 1: States has now conducted more than five point four million tests,

1467
01:25:24,560 --> 01:25:27,680
Speaker 1: nearly double the number tested in any other country, more

1468
01:25:27,680 --> 01:25:30,760
Speaker 1: than twice as much as any other country. Think of that.

1469
01:25:31,320 --> 01:25:33,360
Speaker 1: Moments ago, I came from a meeting with some of

1470
01:25:33,360 --> 01:25:39,599
Speaker 1: our nation's largest retailers, including Walmart, Walgreen, CVS, Right Aid,

1471
01:25:39,680 --> 01:25:46,200
Speaker 1: and Kroger. Were joined by the leaders of those great companies.

1472
01:25:46,240 --> 01:25:49,320
Speaker 1: And we also have with us the leaders from the

1473
01:25:49,320 --> 01:25:56,799
Speaker 1: world's top medical diagnostics companies and suppliers. Thermo Fisher lab Corp, Quest, US, Cotton,

1474
01:25:56,880 --> 01:26:01,960
Speaker 1: and the American Clinical Laboratory Associations are great, great companies.

1475
01:26:03,360 --> 01:26:08,880
Speaker 1: These private sector leaders, along with others such as Roche, Abbot, Beckton, Dickinson,

1476
01:26:09,600 --> 01:26:16,679
Speaker 1: Whole Logic, and ceph A Hide, have been exceptional partners

1477
01:26:16,800 --> 01:26:21,240
Speaker 1: in an unprecedented drive to expand the state's capabilities and

1478
01:26:21,360 --> 01:26:24,720
Speaker 1: our country's capabilities. The job they've done has been incredible.

1479
01:26:25,560 --> 01:26:30,280
Speaker 1: The testing that's been developed and being developed right now

1480
01:26:30,320 --> 01:26:35,000
Speaker 1: has been truly an amazing thing. I want to thank

1481
01:26:35,080 --> 01:26:38,120
Speaker 1: Abbott Laboratories for the job they've done. I want to

1482
01:26:38,160 --> 01:26:41,559
Speaker 1: thank Roche and in particular, those two have really stepped forward.

1483
01:26:41,920 --> 01:26:45,519
Speaker 1: Abbott with a five minute test that people can take

1484
01:26:45,560 --> 01:26:48,280
Speaker 1: and in five minutes they know what the what the

1485
01:26:48,320 --> 01:26:51,520
Speaker 1: answer is. I'd like to ask if I could, the

1486
01:26:51,560 --> 01:26:55,559
Speaker 1: executives of these great companies, and they are. They have

1487
01:26:55,680 --> 01:26:58,479
Speaker 1: really helped us a lot over the last forty five

1488
01:26:58,560 --> 01:27:00,719
Speaker 1: day period. We're talking about a forty five day period

1489
01:27:00,720 --> 01:27:04,440
Speaker 1: when many of us met and since then what Walmart

1490
01:27:04,560 --> 01:27:08,320
Speaker 1: and the others have done has been nothing short of amazing.

1491
01:27:08,360 --> 01:27:10,240
Speaker 1: So I just want to ask them to come forward

1492
01:27:10,240 --> 01:27:12,840
Speaker 1: and say a few words about their company. Plus they're

1493
01:27:12,840 --> 01:27:17,120
Speaker 1: going to make a big contribution to our country. Please

1494
01:27:17,400 --> 01:27:23,679
Speaker 1: come forward, Please, thank you, come on. Thanks, thanks very much,

1495
01:27:26,760 --> 01:27:29,640
Speaker 1: Thank you, mister President, and thank you for all of

1496
01:27:29,680 --> 01:27:33,400
Speaker 1: you for being here today. And what we'd like to

1497
01:27:33,400 --> 01:27:36,240
Speaker 1: talk about is the progress we made. The last time

1498
01:27:36,360 --> 01:27:39,800
Speaker 1: we were here was March thirteenth, and we've been tremendous

1499
01:27:39,800 --> 01:27:42,600
Speaker 1: progress and none of that progress could be made without

1500
01:27:42,640 --> 01:27:45,920
Speaker 1: the forty seven thousand people at QUEST Agnostics that are

1501
01:27:45,960 --> 01:27:49,120
Speaker 1: working around the clock on working up the test and

1502
01:27:49,280 --> 01:27:52,240
Speaker 1: running the test and delivering the results that we need.

1503
01:27:52,720 --> 01:27:56,720
Speaker 1: As far as results, we've made tremendous progress. We are

1504
01:27:56,720 --> 01:28:02,519
Speaker 1: currently at QUEST Agnostics testing about fifty thousand tests per day.

1505
01:28:03,240 --> 01:28:05,960
Speaker 1: We've been pushed by the task Force to bring up

1506
01:28:05,960 --> 01:28:08,080
Speaker 1: that number. By the end of May, we'll have one

1507
01:28:08,120 --> 01:28:11,080
Speaker 1: hundred thousand tests per day, about three million tests, and

1508
01:28:11,200 --> 01:28:14,000
Speaker 1: these are the molecular tests that we do today. We've

1509
01:28:14,040 --> 01:28:17,639
Speaker 1: also brought up terological testing. We started that this past

1510
01:28:17,640 --> 01:28:19,719
Speaker 1: week and by the end of May we'll be close

1511
01:28:19,760 --> 01:28:23,040
Speaker 1: to two and fifty thousand a day, about seven thousand

1512
01:28:23,040 --> 01:28:26,240
Speaker 1: a month. So you put those two numbers together together,

1513
01:28:26,320 --> 01:28:28,639
Speaker 1: it's about ten million tests by the end of May

1514
01:28:28,680 --> 01:28:31,600
Speaker 1: that will be doing at QUEST Diagnostics. We're doing that

1515
01:28:31,680 --> 01:28:34,719
Speaker 1: also in a quicker way. Turn around times where somewhat

1516
01:28:34,720 --> 01:28:37,160
Speaker 1: of an issue at the early days, we've reduced that

1517
01:28:37,200 --> 01:28:40,280
Speaker 1: to one to two days. Our turnaround time for people

1518
01:28:40,320 --> 01:28:43,160
Speaker 1: in beds hospital beds is less than twenty four hours.

1519
01:28:43,600 --> 01:28:45,519
Speaker 1: And we're doing that in the same way we've done

1520
01:28:45,520 --> 01:28:48,559
Speaker 1: it with the FDA. When clear delivering the quality that

1521
01:28:48,600 --> 01:28:52,160
Speaker 1: you all expect and convenience will improvement as well with

1522
01:28:52,320 --> 01:28:56,360
Speaker 1: convenient solutions that we'll be able to swab individuals more

1523
01:28:56,720 --> 01:28:59,960
Speaker 1: easily and also to deliver to consumer the ability to

1524
01:29:00,200 --> 01:29:04,720
Speaker 1: consumers choose a test online with a telehealth provider. So

1525
01:29:04,800 --> 01:29:07,599
Speaker 1: without I'll like to offer my colleague podium as well.

1526
01:29:13,560 --> 01:29:15,880
Speaker 1: Mister President, thank you very much for your leadership and

1527
01:29:15,960 --> 01:29:19,559
Speaker 1: for having us all here today. Our scientists and our

1528
01:29:19,640 --> 01:29:22,280
Speaker 1: lab technicians are working day and night in order to

1529
01:29:22,320 --> 01:29:24,360
Speaker 1: do as many tests as we possibly can for the

1530
01:29:24,360 --> 01:29:27,599
Speaker 1: American public and to turn those tests around as quickly

1531
01:29:27,720 --> 01:29:31,360
Speaker 1: as possible. Just forty five days ago, we said we

1532
01:29:31,400 --> 01:29:34,880
Speaker 1: could do several thousand tests a day. We can now

1533
01:29:34,920 --> 01:29:38,160
Speaker 1: do sixty thousand tests a day, and we're continuing to

1534
01:29:38,200 --> 01:29:43,120
Speaker 1: expand that capacity every single day. In addition, our scientists

1535
01:29:43,160 --> 01:29:47,200
Speaker 1: are working to make testing more convenient and easier. We

1536
01:29:47,320 --> 01:29:49,439
Speaker 1: have the swabs now that are much smaller than the

1537
01:29:49,479 --> 01:29:52,759
Speaker 1: original ones that we originally launched with, but we also

1538
01:29:52,840 --> 01:29:55,960
Speaker 1: have the pixel by lap Corps at home test. That

1539
01:29:56,120 --> 01:29:58,800
Speaker 1: test right now is for healthcare workers on the front

1540
01:29:58,840 --> 01:30:01,680
Speaker 1: line and first responder, but we will be rolling that

1541
01:30:01,760 --> 01:30:04,840
Speaker 1: out much more broadly over the coming weeks, and we're

1542
01:30:04,840 --> 01:30:07,400
Speaker 1: going to roll it out with absolutely no upfront cost

1543
01:30:07,840 --> 01:30:11,439
Speaker 1: for the individual consumers. At the same time, we are

1544
01:30:11,439 --> 01:30:15,160
Speaker 1: building our capacity for urology testing and we can currently

1545
01:30:15,200 --> 01:30:18,000
Speaker 1: do about fifty thousand today and we'll be able to

1546
01:30:18,040 --> 01:30:22,360
Speaker 1: do several hundred thousand per day by the middle of May.

1547
01:30:22,400 --> 01:30:24,640
Speaker 1: And we're going to were working with the retailers. Our

1548
01:30:24,680 --> 01:30:27,799
Speaker 1: colleagues are here today to help them as they expand

1549
01:30:27,800 --> 01:30:32,719
Speaker 1: their testing capabilities across the entire country. And lastly, mister President,

1550
01:30:32,760 --> 01:30:35,880
Speaker 1: we have a rather large drug development business and we

1551
01:30:35,920 --> 01:30:38,640
Speaker 1: will continue to work with our colleagues and the pharmaceutical

1552
01:30:38,640 --> 01:30:43,280
Speaker 1: and the biotechnical biotechnology industry to ensure we do everything

1553
01:30:43,320 --> 01:30:46,880
Speaker 1: we possibly can to enroll clinical trials fast so that

1554
01:30:46,920 --> 01:30:50,439
Speaker 1: we can get new treatments and potential vaccines. Thank you,

1555
01:30:50,760 --> 01:30:53,240
Speaker 1: thank you very much, Thank you very much for you.

1556
01:30:55,360 --> 01:31:02,520
Speaker 1: Thank you, mister President, thank you, and thank the Administration

1557
01:31:02,840 --> 01:31:07,120
Speaker 1: for all of their collaboration to enable ThermoFisher Scientific to

1558
01:31:07,240 --> 01:31:09,800
Speaker 1: be able to produce the test kits that companies like

1559
01:31:09,880 --> 01:31:12,120
Speaker 1: lap Corps, in quests and the public health labs around

1560
01:31:12,120 --> 01:31:15,559
Speaker 1: the world run. We met our original commitments of producing

1561
01:31:15,600 --> 01:31:19,200
Speaker 1: five million kits a week and we're up to scaling

1562
01:31:19,200 --> 01:31:21,760
Speaker 1: that to double that in the coming weeks. In terms

1563
01:31:21,800 --> 01:31:24,720
Speaker 1: of supporting testing around the world, I'd like to thank

1564
01:31:24,720 --> 01:31:27,360
Speaker 1: my seventy five thousand colleagues around the world for their

1565
01:31:27,400 --> 01:31:30,720
Speaker 1: tireless effort to make that a reality and supporting all

1566
01:31:31,120 --> 01:31:34,040
Speaker 1: of our customers to have the testing necessary to get

1567
01:31:34,080 --> 01:31:38,280
Speaker 1: America back to work. Thank you very much, Jo, thank you,

1568
01:31:45,320 --> 01:31:48,280
Speaker 1: thank you, missus President. I'm John Nimms with US Cotton

1569
01:31:48,400 --> 01:31:50,880
Speaker 1: and we are the company that is going to produce

1570
01:31:50,920 --> 01:31:54,360
Speaker 1: the swabs to be used in these testing kits. We

1571
01:31:54,439 --> 01:31:57,280
Speaker 1: have about twelve hundred people in our company and in

1572
01:31:57,320 --> 01:32:00,880
Speaker 1: our Cleveland operation, they have pivoted from, as you've said,

1573
01:32:00,920 --> 01:32:04,120
Speaker 1: the Q tip style swab to a swab that's going

1574
01:32:04,160 --> 01:32:07,240
Speaker 1: to have a plastic stick with a polyester tip so

1575
01:32:07,320 --> 01:32:11,120
Speaker 1: that they can be assembled into these kids. Our Cleveland

1576
01:32:11,120 --> 01:32:13,439
Speaker 1: team has done a wonderful job with this and I'm

1577
01:32:13,560 --> 01:32:16,000
Speaker 1: very they're very excited to be able to help in

1578
01:32:16,040 --> 01:32:26,320
Speaker 1: this effort. So thank you, mister President, mister President, thank you.

1579
01:32:27,000 --> 01:32:29,760
Speaker 1: I'm Lari Morolo with CVS Health and it was just

1580
01:32:29,840 --> 01:32:31,880
Speaker 1: over a month ago that we opened up our first

1581
01:32:32,200 --> 01:32:36,439
Speaker 1: drive through test site, and since that time we have

1582
01:32:36,680 --> 01:32:41,000
Speaker 1: opened large scale testing facilities across five states in partnership

1583
01:32:41,040 --> 01:32:46,400
Speaker 1: with the administration and working with the governors of Rhode Island, Massachusetts, Connecticut, Georgia,

1584
01:32:46,720 --> 01:32:50,200
Speaker 1: in Michigan, and these sites are enabling us to test

1585
01:32:50,240 --> 01:32:54,360
Speaker 1: approximately a thousand individuals a day with real time results.

1586
01:32:54,720 --> 01:32:57,920
Speaker 1: We now have a capacity to test about thirty five

1587
01:32:58,000 --> 01:33:02,160
Speaker 1: thousand individuals each each week. In this afternoon, we announced

1588
01:33:02,200 --> 01:33:06,240
Speaker 1: plans to expand that capacity even further. Beginning in May,

1589
01:33:06,439 --> 01:33:10,439
Speaker 1: we will install testing capabilities and up to a thousand

1590
01:33:10,479 --> 01:33:14,320
Speaker 1: CVS pharmacies will be using our drive throughs and our

1591
01:33:14,320 --> 01:33:18,040
Speaker 1: parking lots with swab testing, so again you'll see that

1592
01:33:18,120 --> 01:33:23,679
Speaker 1: coming online in May. And we also recognize the fact

1593
01:33:23,680 --> 01:33:28,559
Speaker 1: that the virus is disproportionately affecting our minority communities, so

1594
01:33:28,600 --> 01:33:31,920
Speaker 1: we're working in partnership with organizations like the National Medical

1595
01:33:31,960 --> 01:33:37,960
Speaker 1: Association to bring testing and care into the traditionally underserved communities.

1596
01:33:38,400 --> 01:33:42,559
Speaker 1: We're also beginning to implement mobile capabilities with which to

1597
01:33:42,640 --> 01:33:47,320
Speaker 1: do that, and as businesses are restarting their workforce, will

1598
01:33:47,320 --> 01:33:50,840
Speaker 1: also be looking to assist them as they begin to

1599
01:33:50,880 --> 01:33:54,519
Speaker 1: come back to a normal operation. And finally, as my

1600
01:33:54,560 --> 01:33:58,040
Speaker 1: other colleagues, I just want to thank my CVS colleagues.

1601
01:33:58,040 --> 01:34:00,920
Speaker 1: They have done a phenomenal job in terms of helping

1602
01:34:00,960 --> 01:34:05,439
Speaker 1: people in many different ways, all across communities in the country.

1603
01:34:05,479 --> 01:34:09,439
Speaker 1: And they're part of this army of healthcare professionals and

1604
01:34:09,960 --> 01:34:15,200
Speaker 1: the front store and you know, FirstLine supervisors and workers

1605
01:34:15,240 --> 01:34:18,519
Speaker 1: that are doing terrific things to bring our country together.

1606
01:34:18,560 --> 01:34:22,160
Speaker 1: And for that we owe them a huge amount of gratitude.

1607
01:34:22,280 --> 01:34:32,280
Speaker 1: Thank you, Thank you, mister President. Appreciate the invitation to

1608
01:34:32,320 --> 01:34:34,400
Speaker 1: be here today. And it was just forty five days

1609
01:34:34,400 --> 01:34:37,080
Speaker 1: ago when we were here on Richard Ashworth, I oversee

1610
01:34:37,120 --> 01:34:39,960
Speaker 1: Walgreens in the US, and I just want to start off, Larry,

1611
01:34:40,000 --> 01:34:43,559
Speaker 1: like you, thinking the over two hundred thousand Walgreen team

1612
01:34:43,600 --> 01:34:46,799
Speaker 1: members who are in stores every day all across America

1613
01:34:46,880 --> 01:34:50,000
Speaker 1: taking care of our patients and our customers, you know,

1614
01:34:50,040 --> 01:34:53,760
Speaker 1: giving them essential daily needs, the prescriptions obviously that they need,

1615
01:34:53,800 --> 01:34:57,519
Speaker 1: and even COVID testing. While we're here, we also announced

1616
01:34:57,520 --> 01:35:01,160
Speaker 1: today we'll be expanding our testing cape abilities across all

1617
01:35:01,200 --> 01:35:04,439
Speaker 1: states including Puerto Rico. We'll be able to triple the

1618
01:35:04,520 --> 01:35:08,759
Speaker 1: volume that we do now in partnership with our lab partners,

1619
01:35:08,760 --> 01:35:11,840
Speaker 1: and we're excited to be able to do that. We're

1620
01:35:11,840 --> 01:35:14,760
Speaker 1: really excited with the public private partnership that we have

1621
01:35:14,880 --> 01:35:16,960
Speaker 1: here because that's what enabling us to do this, and

1622
01:35:16,960 --> 01:35:20,280
Speaker 1: we look forward to working with the additional states to

1623
01:35:20,360 --> 01:35:23,759
Speaker 1: get these sites up and running as fast as possible.

1624
01:35:24,320 --> 01:35:26,320
Speaker 1: As a pharmacist, I just want to say one quick thing.

1625
01:35:26,320 --> 01:35:29,000
Speaker 1: I'm really proud to be part of this profession, and

1626
01:35:29,040 --> 01:35:32,439
Speaker 1: not just Walgreen's pharmacists and pharmacy employees, but all of

1627
01:35:32,479 --> 01:35:36,400
Speaker 1: them across grocery mass and dependence. You're really doing what

1628
01:35:36,439 --> 01:35:38,040
Speaker 1: you should be doing and what you went to school

1629
01:35:38,040 --> 01:35:40,760
Speaker 1: for to help patients, counseling them on their medicines and

1630
01:35:40,800 --> 01:35:44,599
Speaker 1: helping them understand the problems that we're facing. You know,

1631
01:35:44,680 --> 01:35:47,960
Speaker 1: pharmacy is right here in it with everyone together in

1632
01:35:48,000 --> 01:35:50,000
Speaker 1: the community, and we look forward to being part of

1633
01:35:50,000 --> 01:35:52,880
Speaker 1: the testing like we are now, prology whatever that might

1634
01:35:52,880 --> 01:35:55,560
Speaker 1: look like in the future, and eventually treatment when the

1635
01:35:55,640 --> 01:35:58,480
Speaker 1: vaccine does come. So thank you, mister President for the opportunity.

1636
01:35:58,640 --> 01:36:09,839
Speaker 1: Thank you, Thank you, mister President, Thank you, mister Vice President.

1637
01:36:09,880 --> 01:36:12,280
Speaker 1: We appreciate all you're doing to get America back to

1638
01:36:12,320 --> 01:36:15,880
Speaker 1: work and doing it safely. I represent Kroeger. My name

1639
01:36:15,920 --> 01:36:18,599
Speaker 1: is Rodney McMullen and I am so proud of our

1640
01:36:18,720 --> 01:36:21,840
Speaker 1: nearly half a million associates that are doing everything every

1641
01:36:21,920 --> 01:36:25,160
Speaker 1: day to keep customers safe and our associates safe. And

1642
01:36:25,280 --> 01:36:26,960
Speaker 1: one of the things that we were able to do

1643
01:36:27,040 --> 01:36:30,800
Speaker 1: is provide the basic practices we're doing. We call it blueprint,

1644
01:36:31,439 --> 01:36:33,519
Speaker 1: and it's the things that all of us can learn

1645
01:36:33,600 --> 01:36:36,960
Speaker 1: from on how to get America back working. We also

1646
01:36:36,960 --> 01:36:41,160
Speaker 1: announced earlier today, continuing to accelerate our practice on testing.

1647
01:36:41,720 --> 01:36:45,120
Speaker 1: We are actively engaged in six states. In the next

1648
01:36:45,120 --> 01:36:47,479
Speaker 1: couple of weeks, we'll take that to twelve states, and

1649
01:36:47,560 --> 01:36:50,080
Speaker 1: the number of tests that we do continues to grow

1650
01:36:50,160 --> 01:36:54,240
Speaker 1: faster than that. Together, we will win. Together, we will

1651
01:36:54,280 --> 01:36:57,920
Speaker 1: solve this problem and move on. America is always great.

1652
01:36:58,080 --> 01:37:07,840
Speaker 1: Thank you again, Thank you, Miss President. My name is

1653
01:37:07,880 --> 01:37:10,240
Speaker 1: Doug McMillan. I'm a Walmart associate and I too, would

1654
01:37:10,240 --> 01:37:12,800
Speaker 1: like to start by thanking our associates for everything that

1655
01:37:12,840 --> 01:37:16,240
Speaker 1: they're doing in our store, Sam's clubs, distribution centers, and

1656
01:37:16,280 --> 01:37:19,040
Speaker 1: in our e commerce fulfillment centers. They've been inspiring and

1657
01:37:19,120 --> 01:37:21,479
Speaker 1: continue to have a can do attitude and step up.

1658
01:37:21,520 --> 01:37:25,960
Speaker 1: It's much appreciated. We started forty five days ago, is

1659
01:37:26,000 --> 01:37:28,600
Speaker 1: did everyone else, and we've been operating sites for a

1660
01:37:28,600 --> 01:37:31,519
Speaker 1: while now. We're now up to twenty sites across eleven states.

1661
01:37:31,560 --> 01:37:33,479
Speaker 1: By the end of next week we'll be to forty five,

1662
01:37:33,520 --> 01:37:35,120
Speaker 1: and by the end of the end of May will

1663
01:37:35,160 --> 01:37:37,639
Speaker 1: be at one hundred. We also a few weeks ago,

1664
01:37:37,880 --> 01:37:40,759
Speaker 1: Vice President Pence and I were in a distribution center

1665
01:37:40,760 --> 01:37:43,280
Speaker 1: in Virginia food distribution center. He was kind enough to

1666
01:37:43,280 --> 01:37:45,280
Speaker 1: come and thank our associates for us there, which is

1667
01:37:45,320 --> 01:37:48,080
Speaker 1: much appreciated, and the President Vice President we're speaking on

1668
01:37:48,120 --> 01:37:50,519
Speaker 1: the phone about surgical gowns, and the President asked if

1669
01:37:50,560 --> 01:37:54,799
Speaker 1: we could put in an order for millions of surgical gowns,

1670
01:37:54,880 --> 01:37:57,439
Speaker 1: and we don't normally buy those, so I wasn't sure

1671
01:37:57,439 --> 01:37:58,599
Speaker 1: if we were going to be able to do that.

1672
01:37:58,640 --> 01:38:01,479
Speaker 1: But I'd like to thank our apparel team and McKesson

1673
01:38:01,560 --> 01:38:04,200
Speaker 1: in particular for partnering with us. We've been able to

1674
01:38:04,560 --> 01:38:06,640
Speaker 1: in the month of April secure an additional two and

1675
01:38:06,680 --> 01:38:09,720
Speaker 1: a half million surgical gowns, and by the end of

1676
01:38:09,760 --> 01:38:12,479
Speaker 1: May we'll have an additional six million available to help.

1677
01:38:12,520 --> 01:38:14,640
Speaker 1: So thank you for the opportunity to serve and from

1678
01:38:14,680 --> 01:38:24,440
Speaker 1: being here. Great job. Thank you, Thank you, mister President,

1679
01:38:24,520 --> 01:38:27,880
Speaker 1: and thanks to the team for getting this great operation

1680
01:38:28,000 --> 01:38:30,040
Speaker 1: up and running for the benefit of the country. I'm

1681
01:38:30,040 --> 01:38:34,160
Speaker 1: Heyward Donegan with write AID and we are currently operating

1682
01:38:34,240 --> 01:38:37,880
Speaker 1: forty percent of the current test sites in twenty five

1683
01:38:38,160 --> 01:38:42,439
Speaker 1: locations across eight states, and we had I had the

1684
01:38:42,439 --> 01:38:45,200
Speaker 1: opportunity as I was driving up to stop at our

1685
01:38:45,280 --> 01:38:48,559
Speaker 1: Richmond location and see the testing in action and thank

1686
01:38:48,640 --> 01:38:53,400
Speaker 1: the associates, whether it be security or pharmacy, front end,

1687
01:38:53,560 --> 01:38:57,559
Speaker 1: everybody who's helping with this great effort, and all of

1688
01:38:57,600 --> 01:39:00,519
Speaker 1: the customers that appreciate this so much. It was really

1689
01:39:00,600 --> 01:39:03,799
Speaker 1: amazing to see. And I want to thank my fifty

1690
01:39:03,800 --> 01:39:08,479
Speaker 1: thousand associates also for keeping these retail locations up and

1691
01:39:08,560 --> 01:39:12,679
Speaker 1: running during these really, really tough times. It's been quite amazing.

1692
01:39:12,760 --> 01:39:16,160
Speaker 1: And we too are going to expand our testing and

1693
01:39:16,240 --> 01:39:24,880
Speaker 1: we're doing about fifteen hundred a day. Thanks so, thank

1694
01:39:24,920 --> 01:39:27,559
Speaker 1: you all very much. It's incredible what we've done together

1695
01:39:27,640 --> 01:39:30,040
Speaker 1: over a short period of time. I want to thank

1696
01:39:30,080 --> 01:39:32,439
Speaker 1: our Vice president for the task force and the work.

1697
01:39:33,439 --> 01:39:35,840
Speaker 1: Every day it gets better. And we had a fantastic

1698
01:39:35,840 --> 01:39:39,920
Speaker 1: all with the governors today and I would say that

1699
01:39:40,000 --> 01:39:45,439
Speaker 1: they are as thrilled as they can be, considering that

1700
01:39:45,479 --> 01:39:49,080
Speaker 1: the fact is that there has been so much unnecessary

1701
01:39:49,160 --> 01:39:51,800
Speaker 1: death in this country. It could have been stopped, and

1702
01:39:51,800 --> 01:39:56,240
Speaker 1: it could have been stopped short but somebody, a long

1703
01:39:56,280 --> 01:39:59,920
Speaker 1: time ago, it seems, decided not to do it that way,

1704
01:40:00,720 --> 01:40:03,320
Speaker 1: and the whole world is suffering because of it, hundred

1705
01:40:03,320 --> 01:40:04,800
Speaker 1: and eighty four countries at least