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Speaker 1: All right, one hundred and seventy three days. You we

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Speaker 1: the American people. You get to be the final jury

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Speaker 1: in terms of what America's future is. This is it.

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Speaker 1: Everything's at stake here. I mean you could see this intersection.

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Speaker 1: Now this you now got a We're now at a

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Speaker 1: point where it's going to be a showdown, where there's

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Speaker 1: going to be it's not about flattening curves anymore for people,

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Speaker 1: because that's happened. We're on the other side of it.

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Speaker 1: We what do we hope? We hope we'd get to

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Speaker 1: the We didn't want to get to an apex, but

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Speaker 1: we knew we'd hit an apex. Then they would be

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Speaker 1: a leveling off, then a decline, and a precipitous decline.

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Speaker 1: I could tell you in New York, which is the

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Speaker 1: epicenter of this, it's it's now at the dramatic decline.

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Speaker 1: We also can learn lessons here, a lot of them.

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Speaker 1: If people would just pay attention, I'll tell you the

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Speaker 1: lessons I think I learned, and we'll let everybody else

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Speaker 1: decide on their own. Because you have a you have

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Speaker 1: diametrically opposed models that were used, some that failed spectacularly.

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Speaker 1: New York, New Jersey, Pennsylvania and other places and places

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Speaker 1: that did it right. We learned that workers can continue

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Speaker 1: to manufacture all of the medical equipment that frankly without

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Speaker 1: them working. Had they shut down across the country manufacturing

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Speaker 1: the medical equipment, New York healthcare workers would not be

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Speaker 1: able to go to work and save lives every day.

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Speaker 1: They did it. They stayed open. It's not that they're

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Speaker 1: not arguing or debating whether they're going to reopen, because

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Speaker 1: they never closed and they were able to manage to

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Speaker 1: do it. I have not read a single instance where

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Speaker 1: the manufacturers of medical equipment got into any serious COVID

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Speaker 1: nineteen health breakout issues or what we call a hot zone. Now,

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Speaker 1: we did have it in three states in terms of

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Speaker 1: meat packing, South Dakota, Iowa, Washington State. All three states

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Speaker 1: from what I can see after I last interviewed, let's

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Speaker 1: see Joanie Ernst of Iowa and Christyom of South Dakota

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Speaker 1: that they were able to contain them and get people

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Speaker 1: on the other side of it. Because we've learned so much,

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Speaker 1: you know, I will say it. You know, what can

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Speaker 1: we learn that Florida did that, all these other states

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Speaker 1: didn't do that? Protected the most vulnerable and the elderly population.

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Speaker 1: We better learn because it's like ten to one New

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Speaker 1: York death nursing home deaths versus Florida. You know. And

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Speaker 1: this is where we are now. If we're not going

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Speaker 1: to apply the lessons and we're just going to have

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Speaker 1: these wish lists from Nancy Pelosi, this socialist utopia, three

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Speaker 1: trillion dollars, wasting our money and not letting anybody get

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Speaker 1: back to work, what we will never recover as a country.

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Speaker 1: So the question is now you have to find the

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Speaker 1: delicate balance. How do you read open and how do

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Speaker 1: you do it safely? I think the first area of

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Speaker 1: concerns got to be addressed. That is when we protect

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Speaker 1: the elderly population, those with underlying medical conditions, compromised immune systems.

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Speaker 1: We learned a lot from Florida. Let's keep learning from Florida. Okay,

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Speaker 1: then what else did we learn? We learned that medical

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Speaker 1: equipment manufacturers they were able to stay open and do

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Speaker 1: so safely. Well, how did they do it? In every

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Speaker 1: case that I know of? They use their masks. You know,

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Speaker 1: all these testing centers that are developing new iterations of testing,

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Speaker 1: they all stayed open too. From what I understand their

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Speaker 1: workers all had social distancing and masks and they didn't

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Speaker 1: have major outbreaks. Okay, another lesson learned, checked the box. Okay,

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Speaker 1: what else did we learn? We learned that while Sean

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Speaker 1: Hannity keeps talking about the kid that stocked his grocery shelves,

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Speaker 1: because no store that I know of in New York

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Speaker 1: ran out of gross and I saw the same people

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Speaker 1: every week in their gloves and their masks stocking the

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Speaker 1: shelves right in the epicenter where this shift show was

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Speaker 1: going on. Same with you know, I go to my

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Speaker 1: local right aid, my local cvs. They were open too,

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Speaker 1: So what can we learn there? Now? There are people

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Speaker 1: that I guess we'll never want to open the place up.

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Speaker 1: And politics now is intersecting in this also. You know

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Speaker 1: the Democrats, all they want now is give us more money,

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Speaker 1: give us trillions for everything, but COVID nineteen relief. We're

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Speaker 1: done with the money. We don't have any more money

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Speaker 1: to give out. So the answer is getting people back

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Speaker 1: to work, back to work safely. And if we don't

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Speaker 1: do it, there won't be any money for anybody by

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Speaker 1: the end of this. You know the idea, And look,

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Speaker 1: I like doctor Fauci, but he's not been the be

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Speaker 1: all to end all here, well, all the Fox is

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Speaker 1: criticizing doctor Fauci. I'm not criticizing him at all. The

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Speaker 1: whole world was lied to by China. They lied to

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Speaker 1: us at a spectacular level, and they've got to pay

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Speaker 1: for that. But in the meantime, you know, doctor Fauci

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Speaker 1: was on my show January twenty seventh, February tenth, February

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Speaker 1: twenty ninth, he was saying, the risk is low, March

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Speaker 1: ninth to tenth, it's okay to go on a cruise

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Speaker 1: if you're young and healthy. Those were not good decisions,

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Speaker 1: I think. March ninth he was saying, you don't need

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Speaker 1: to wear a mask. Okay, I'm not saying he's devoted

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Speaker 1: his life to saving lives. I'm not being critical of

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Speaker 1: doctor Fauci. But every model that we were given about

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Speaker 1: what the projected death rates were, they were wrong too.

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Speaker 1: So now the only thing that where my mind goes

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Speaker 1: is what worked and what didn't work. If you want

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Speaker 1: to open the country, and the President saying that his

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Speaker 1: critics want to keep the economy closed, yeah, because they

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Speaker 1: think the worst off the economy is that the odds

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Speaker 1: that they have a better shot of winning in one

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Speaker 1: hundred and seventy three days is better. You can't than

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Speaker 1: ie politics. What did I say at the beginning of

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Speaker 1: the year. Every single thing we now see has to

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Speaker 1: be seen through the prism of this being an election year.

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Speaker 1: It's just sadly the way things roll. That's the way

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Speaker 1: it works, you know, Nancy Pelosi a three trillion dollar

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Speaker 1: wish list including marijuana, banking protections. Really, you know, keeping

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Speaker 1: the government from sharing information with families about lower cost

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Speaker 1: health insurance options. Really, Nancy from your gated community, with

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Speaker 1: your with your designer ice cream, you know, using legislation

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Speaker 1: of pushmail in voting to protect illegal immigrants. I mean,

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Speaker 1: it's insane. The labor unions, we can't afford three trillion.

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Speaker 1: I mean, it is a full on there's no shame

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Speaker 1: in what they are doing here. We can't afford it

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Speaker 1: at this point. So you can have all the extensions

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Speaker 1: the American people have had it. Now, I'm going to

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Speaker 1: give you some information. You need to know how bad

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Speaker 1: things were in New York and why. Now by the way,

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Speaker 1: we see it happening in other states, But in New York,

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Speaker 1: for example, I was shocked by a governor Cuomo's comments.

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Speaker 1: First thing he said, first thing when he ordered March

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Speaker 1: twenty eighth COVID nineteen patients into nursing homes and long

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Speaker 1: term care facilities. And then he when he got called

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Speaker 1: out on it, he said, I'm not responsible for your ppe.

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Speaker 1: I can if I can help out, help, but I'm

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Speaker 1: not responsible. I'm like, yeah, you are. You're you're demanding

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Speaker 1: forty thousand ventilators. What are you talking about one of

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Speaker 1: the dumbest decisions, Cuomo, New Yorkers whire prepared, and no,

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Speaker 1: we're not like these other countries. You aren't prepared. And

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Speaker 1: especially since Trump built and manage your hospitals and sent

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Speaker 1: the Navy hospital ship and built the largest hospital and

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Speaker 1: manned that for you and converted it for COVID nineteen

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Speaker 1: patients and you didn't use them. Is just dumb. You

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Speaker 1: own that. And by the way, finally, now the media

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Speaker 1: in New York is actually asking a couple of real

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Speaker 1: questions about it, and Cuomo's actual answers. Well, as a society,

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Speaker 1: you can't save everyone, You're gonna lose people. That's life.

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Speaker 1: Imagine if Donald Trump said that we did everything we could,

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Speaker 1: No you didn't. You should have put him in the

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Speaker 1: hospitals that Trump built and manned for you and converted

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Speaker 1: for COVID nineteen. And he said it's six times in

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Speaker 1: a matter of seconds. When grilled about this and grilled

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Speaker 1: about their lack of preparedness in this March twenty fifth

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Speaker 1: Department of Health directive barring nursing homes from turning away

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Speaker 1: Corona patients. I mean, it is insane. And by the way,

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Speaker 1: it's not just New York health officials responsible for overseeing

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Speaker 1: nursing homes in Pennsylvania, where nearly seventy percent of that

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Speaker 1: state's Corona virus related deaths occurred. The same thing in

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Speaker 1: New Jersey. And the same thing is when that idiot

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Speaker 1: governor in the state of Michigan. They all messed up

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Speaker 1: all these decisions, New York, New Jersey, Pennsylvania, all of

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Speaker 1: the Michigan. If you look at the number of deaths,

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Speaker 1: they didn't handle the elderly population. The guy that did

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Speaker 1: it right is RHN de Santis. It's not political, it

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Speaker 1: just is what it is. Do I think these governors

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Speaker 1: did it on purpose? No, I think they're stupid. I

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Speaker 1: don't think they thought it through and I think they

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Speaker 1: made a bad call. Now we're finding out for exam.

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Speaker 1: Now lawmakers by the way, in New York, and they're

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Speaker 1: now demanding an independent federal investigation. We're talking about thousands

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Speaker 1: of old people that died in New York, thousands of

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Speaker 1: them because they put the COVID nineteen patients in there,

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Speaker 1: and they didn't use the COVID nineteen beds that Donald

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Speaker 1: Trump built and manned for them. I mean, I couldn't

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Speaker 1: believe it. It's like six thousand. And then you have,

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Speaker 1: on top of that, the same thing happened in Pennsylvania

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Speaker 1: and New Jersey, and these decisions by these governors with

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Speaker 1: nursing homes turned out to be a disaster. March twenty ninth,

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Speaker 1: as Pennsylvania, New York, and other states began ordering these

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Speaker 1: nursing homes to admit medically stable patients infected with COVID nineteen.

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Speaker 1: I mean, those were all bad decisions. Six New Jersey

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Speaker 1: Governor Phil Murphy followed Cuomo's lead ordered New Jersey nursing

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Speaker 1: homes to accept patients that tested positive for COVID nineteen.

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Speaker 1: New Jersey was like New York, offered beds on the

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Speaker 1: USNS comfort COVID ready COVID prepared in the Javit Center

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Speaker 1: because New York wasn't using them. So if you look

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Speaker 1: at the states with the highest death rates, yeah, most

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Speaker 1: of them made really dumb and bad decisions, and but

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Speaker 1: we can learn from it as we try to open

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Speaker 1: them up. You have this New York City Health commissioner.

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Speaker 1: You know, I don't give two rats asses about your cops.

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Speaker 1: When the NYPD was asking for additional mass for police

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Speaker 1: officers that were contracting COVID, quote, I don't give two

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Speaker 1: rats asses about your cops. Why does this guy still

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Speaker 1: have a job in New York? Unbelievable callousness. Now the

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Speaker 1: calls for a federal investigation into these states nerve home

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Speaker 1: scandals is beginning. What mob in the media. They'll never

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Speaker 1: cover it because Cuomo might be the backup should the

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Speaker 1: ever so slow forgetful Joe not be able to make it.

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Speaker 1: But you have tens of millions of Americans. Another issue

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Speaker 1: that's emerged Blue state governors. They keep extending their economic shutdowns.

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Speaker 1: Guess what is You know, it's becoming a ghost town

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Speaker 1: in New York. I sent out pictures to friends yesterday.

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Speaker 1: So you've got to take a look at this. But

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Speaker 1: Betsy McCoy had a pretty interesting article about this. If

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Speaker 1: they continue to spread this out and not learn from

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Speaker 1: the manufacturers of medical equipment, and not learn from Florida

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Speaker 1: and not learn this is why I'm telling everybody. Why

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Speaker 1: is Sean Hannity saying he wants to wear a mask? Kennedy,

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Speaker 1: you're giving into government tyranny. No, I'm not. You want

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Speaker 1: to know while I'm gonna wear a mask. I'll wear

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Speaker 1: a mask because if I ever got this thing, I

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Speaker 1: would never want somebody susceptible to dying from it from

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Speaker 1: getting it. And I know in my head it's a

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Speaker 1: short period of time. I'm doing it to protect the elderly.

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Speaker 1: Now that's my answer. Now, I want to see baseball

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Speaker 1: played in stadiums with with fans, same with football. And

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Speaker 1: my plan is, Okay, everybody wear a mask. If I

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Speaker 1: have to wear a mask, I'll do it. But we

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Speaker 1: got to get the economy up, and we got to

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Speaker 1: get the economy running. We've got to learn something from

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Speaker 1: those places that did it well. Will somebody do a

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Speaker 1: study of all the grocery stores in New York that

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Speaker 1: stayed open and all the people that wore their masks.

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Speaker 1: How many of them contract at COVID nineteen? Because I'm

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Speaker 1: grilling the people at my grocery stores. Did anyone get it?

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Speaker 1: Did anyone get it? Did anyone get it? Ran into

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Speaker 1: a lady yesterday. I was in my local grocery store.

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Speaker 1: She had a shield on. How you holding up? Okay?

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Speaker 1: Anybody here contract the virus? Nope, nobody save at my

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Speaker 1: local pizza place, Save at my local Delhi. I go

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Speaker 1: see these guys every day. Love these guys. They're my friends.

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Speaker 1: I love them. They're great people. Then you have this

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Speaker 1: idiot in Michigan. I don't have proof about the claim

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Speaker 1: the protesters are spreading the coronavirus, and she's you have now.

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Speaker 1: I mean, if you can't cut your lawn, you've gone

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Speaker 1: too far as a governor. But that's how dumb. The

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Speaker 1: Michigan governor is just like New York, New Jersey, Pennsylvania,

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Speaker 1: you know, blasting unimpressed with the continued shutdown, Democratic county

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Speaker 1: executive saying you're wrong. A Michigan sheriff is dismantled the

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Speaker 1: governor's whitmer's executive orders that they're not clear and concise. Oh,

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Speaker 1: they took away this barber's license because the guy was

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Speaker 1: cutting hair wearing a mask. They took his license away.

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Speaker 1: And you know, now you've got more protests there. You

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Speaker 1: know what Governor de Santis is doing. Come to Florida.

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Speaker 1: Play your sports here, Come play here. We'll open up

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Speaker 1: for you. We'll do it safely. We'll show you what

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Speaker 1: we did down in Florida. Well, why don't you learn

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Speaker 1: from Florida. What the hell are we doing up here

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Speaker 1: in New York anyway, Linda, what are we doing here?

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Speaker 1: This is just dumb. They're robbing me blind and it's

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Speaker 1: they's run by a bunch of idiots. It's unbelievable. Yeah,

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Speaker 1: I mean, I'm I'm I've got to get the hell

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Speaker 1: out of here, you know what, I miss stern Rush.

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Speaker 1: They all left and I'm the only idiot that remains

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Speaker 1: standing here. I'm dumb, all right, Ask yourself if this

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Speaker 1: makes sense. So, March twenty fifth, we have the executive

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Speaker 1: order in New York Governor Cuomo that literally forced nursing homes,

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Speaker 1: long term care facilities to accept coronavirus patients. March twenty fifth.

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Speaker 1: March twenty ninth, Pennsylvania follows. Uh. Then we get to

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Speaker 1: April sixth, the same thing in New Jersey. Then we

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Speaker 1: now let's look at and then the dopey Michigan governor

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Speaker 1: as well. Now let's look at those that made those decisions.

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Speaker 1: New York twenty seven thousand plus deaths of COVID nineteen,

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Speaker 1: New Jersey nine thousand and seven hundred and some odd deaths.

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Speaker 1: You go to the next state, Massachusetts five thousand, three

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Speaker 1: hundred and fifteen. Then you got Michigan four thousand and

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Speaker 1: seven hundred and fourteen and Pennsylvania three thousand, nine hundred

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Speaker 1: forty three. Now compare that to Texas one thousand, one

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Speaker 1: hundred and fifty eight Florida with the highest density, highest

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Speaker 1: percentage of elderly puppet one eight hundred twenty seven. What

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Speaker 1: did they do right? They didn't four, They didn't protect

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Speaker 1: the old people. There's your answer. That's a big part

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Speaker 1: of the answer. And the reason that people could stock

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Speaker 1: the shelves safely in New York is because they wore

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Speaker 1: the masks. There's another part of the answer. All right,

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Speaker 1: twenty five till the top of the hour. I want

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Speaker 1: to get to this Judge Emmett Sullivan here in a second,

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Speaker 1: and I'm going to go over this with doctor Oz today.

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Speaker 1: What do we learn that we can do? What states did,

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Speaker 1: what right? And what lessons can we learn if we

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Speaker 1: got to reopen the country safely now, because there's a

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Speaker 1: way to do it, there's a ton of lessons to

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Speaker 1: be learned here. I don't think this is an accident

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Speaker 1: in any way. Now in New York, there are a

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Speaker 1: number of decisions. I was very outspoken about the idea

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Speaker 1: that hospitals were giving hydroxy chloroquin and the zithromiacin and

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Speaker 1: zinc to patients, but they wouldn't allow drug stores to

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Speaker 1: give it to people. That means if you wanted it,

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Speaker 1: to take the medicine again, Daniel Wallace, it does no harm.

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Speaker 1: The foremost eminent expert in the entire world on hydroxy

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Speaker 1: chloroquin all his four hundred plus peer reviewed articles has

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Speaker 1: worked with rupus rumatoid ritus anti malarials. This guy knew

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Speaker 1: it all. We read that letter numerous times. That was

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Speaker 1: mistake number one, big mistake number two. And why they

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Speaker 1: didn't lift that order, I don't know. To this day,

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Speaker 1: I don't know telling people it was okay. Ye had

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Speaker 1: Comrade de Blasio here on my reccommendations go out on

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Speaker 1: the town March second through fifth. Okay, and the governor

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Speaker 1: Cuomo March second. We're not like these old countries were.

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Speaker 1: New York is you know that crap. We're prepared. You

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Speaker 1: weren't prepared. The biggest mistake that was duplicated by the

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Speaker 1: states that also have the highest death counts was this

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Speaker 1: charge and directive and executive order barring nursing homes from

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Speaker 1: turning away coronavirus patients. And I frankly can't believe that

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Speaker 1: the governor's getting away with. First they got away with

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Speaker 1: telling the nursing homes when they started complaining, we're not

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Speaker 1: responsible for your ppe. Huh. I remember there were there

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Speaker 1: were stories about they were being sent body bags with

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Speaker 1: the patients. Unbelievable as a society. He's now said, you

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Speaker 1: can't save everyone. You're gonna lose people. Imagine Donald Trump

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Speaker 1: saying this, that's life. That's what he said. We did

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Speaker 1: everything we could. Well, they had the hospital beds, but okay,

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Speaker 1: put that aside. Now, the deaths in New York, now

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Speaker 1: fully about a third of them were from nursing homes.

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Speaker 1: That proved to be a really dumb idea. Now as

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Speaker 1: Cuomo was issuing that directive down in Florida, and I

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Speaker 1: know that early on that Ron de Santa's got criticized

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Speaker 1: because of some spring breakers, but they put an end

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Speaker 1: to that. Turns out the young people weren't, as we

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Speaker 1: were told in the beginning, vulnerable. One thing that did

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Speaker 1: pan out in this and things went up and down

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Speaker 1: and all over the place, and you kept getting different information.

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Speaker 1: The models always were wrong. And even you know, the

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Speaker 1: great doctor Fauci, who I do think is a great man.

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Speaker 1: I'm not disparaging him, He's been wrong a lot. Now,

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Speaker 1: we were all lied to. I would even say that,

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Speaker 1: you know, based on what they knew in early March,

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Speaker 1: Comrade de Blasio, Governor Cuomo, they probably believe what they

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Speaker 1: were saying. This was not done maliciously. I just think

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Speaker 1: it was a dumb decision, A lot of dumb decisions made,

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Speaker 1: and an arrogance that existed that shouldn't have been there.

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Speaker 1: But DeSantis issued his own executive order at the same time,

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Speaker 1: now that was regulating patients to nursing homes and long

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Speaker 1: term care facilities, and what he did that New York,

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Speaker 1: New Jersey, Pennsylvania, and Michigan didn't do is he actually

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Speaker 1: sent the National Guard. He literally mobilized every single agency

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Speaker 1: in the state of Florida to protect the elderly community

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Speaker 1: in every nursing home in the state, starting with the

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Speaker 1: villages America's friendly his hometown. Okay, so we look at now,

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Speaker 1: right after Cuomo did it in New York, well, you know,

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Speaker 1: I guess you followed. He did it on the twenty fifth,

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Speaker 1: where they forced facilities to accept coronavirus patients these elderly

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Speaker 1: care facilities. Then the Pennsylvania governor did the same darn

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Speaker 1: thing March ninth. Okay, their death rates horrible too. And then,

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Speaker 1: not to be outdone, the new Jersey governor Phil Murphy

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Speaker 1: on April sixth, he follows up and orders New Jersey

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Speaker 1: nursing homes to accept patients who tested positive. Okay, why

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Speaker 1: am I is this this cast flame? You know, if

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Speaker 1: I was a Democrat, I'd say they have blood on

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Speaker 1: their hands, because everybody's saying that about Donald Trump. I

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Speaker 1: don't think they did it maliciously. I just think they're dumb.

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Speaker 1: But now we know better. Now we learned a lesson here.

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Speaker 1: We learned the Florida did it right. If you protect

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Speaker 1: the elderly population, and you really hone in and protect

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Speaker 1: them big time, then you're gonna have You're gonna save lives,

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Speaker 1: which is should be everybody's goal. I'm not politicizing this.

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Speaker 1: I'm just pointing out what lessons could be learned. Now

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Speaker 1: in New York they lost, you know, nearly twenty eight

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Speaker 1: thousand people. In New Jersey again they made the bad decision,

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Speaker 1: nearly ten thousand people. Pennsylvania nearly four thousand people, Michigan

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Speaker 1: nearly five thousand, four thousand, seven hundred and eighty people. Okay, now,

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Speaker 1: let's go down to Florida. Well, okay, they have some

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Speaker 1: of the highest percentage of the elderly population in that

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Speaker 1: state because people retired down in Florida. They like the weather,

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Speaker 1: they like paying No. Texas, well, they had fewer than

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Speaker 1: two thousand deaths down in Florida. In Texas, they have

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Speaker 1: a pretty big population. In Texas, they had one thousand,

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Speaker 1: one hundred and fifty eight. And I'll even give listen,

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Speaker 1: Gavin Newsom, I think did a lot of good things.

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Speaker 1: He's a little oval board now in some ways, but

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Speaker 1: I think he did a lot of good things, and

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Speaker 1: compared to New York New Jersey, Michigan, Pennsylvania. He did

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Speaker 1: light years better with a much larger population. You could

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Speaker 1: say it's less densely populated, But New Jersey's not New York.

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Speaker 1: Michigan's not New York. Pennsylvania is not New York. A

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Speaker 1: lot of similarities with Texas, California, Florida. You have a

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Speaker 1: lot of people on top of each other, a lot

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Speaker 1: of communities there. Anyway, in California, two thousand, eight hundred

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Speaker 1: seventy six deaths. Again, one life is precious. We believe

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Speaker 1: in life what we learned, and we learned the hard way.

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Speaker 1: But if we're going to reopen and reopen safely, which

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Speaker 1: we better start considering here, or nobody's gonna have any money,

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Speaker 1: then we've got to learn the hard lessons. Who did

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Speaker 1: things right? Well? Can we learn how did those manufacturers

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Speaker 1: of all the medical equipment protect their employees? Well? In

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Speaker 1: every instance that I see, it was masks and gloves.

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Speaker 1: Because a Pence or the President went to visit one

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Speaker 1: of these places and they didn't wear a mask, they

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Speaker 1: got the living crap beat out of them by the

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Speaker 1: mob and the media. While everybody that works in the

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Speaker 1: facility was wearing a mask. In mid March, fouch you

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Speaker 1: was saying, we don't need a mask. So again they

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Speaker 1: didn't know. We're learning as we go. Nobody thought, nobody

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Speaker 1: saw it, nobody believed, you know, every nobody's perfect on

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Speaker 1: These things took on a life of its own. But

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Speaker 1: if we're going to reopen safely, how did the how

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Speaker 1: did Sean Hannity's favorite guys that stock the shelves and

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Speaker 1: his grocery store stay safe. I've told you a million times.

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Speaker 1: We can learn from that too. But they are those

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Speaker 1: that would never want to open up at all. Now,

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Speaker 1: Betsy McCoy, you know she's not wrong here, and as columns,

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Speaker 1: she puts out, because as New York now, they're scared

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Speaker 1: to death because they screwed up so badly to make

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Speaker 1: any decision. And anyway, if they keep pushing this opening

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Speaker 1: back again and again and again, I'm telling you New

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Speaker 1: York is like a ghost town, she writes. It's a

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Speaker 1: grim prospect. Yet officials seem ready to let it happen.

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Speaker 1: And she points out that, you know, the store in

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Speaker 1: the East Village, known since the nineteen twenties for egg creams,

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Speaker 1: is shutting down for good. She's saying that fully fifty

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Speaker 1: percent of businesses in New York are never going to

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Speaker 1: open again. Let me tell you what it's about to

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Speaker 1: happen in New York. They have no idea New York

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Speaker 1: City is about to be, you know, a mini Detroit

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Speaker 1: because people have had it and the price, the value

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Speaker 1: of homes, high, taxation, horrible leadership. People are saying, what

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Speaker 1: the hell am I doing here? Why am I paying

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Speaker 1: all this money in taxes? What am I getting? I

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Speaker 1: asked O'Reilly the other day, and he's like, I'm loyal

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Speaker 1: handed and being loyal to who. All they do is

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Speaker 1: pick our pockets with the worst infrastructure. You know, I'm

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Speaker 1: just I'm making a prediction. How do these stores ever

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Speaker 1: open up again? There's not enough money in the treasury

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Speaker 1: to pay for all these stores to open up again.

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Speaker 1: And you know the answer is what We're gonna have

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Speaker 1: a socialist wish list. No, we can't. We won't survive Americas,

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Speaker 1: we know will die. American people instinctively see and get this,

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Speaker 1: and all we see is coronavirus craziness everywhere. Now we've

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Speaker 1: got apparently a mysterious Republican inquiry into a mysterious drone

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Speaker 1: program that people are using to police Americans who aren't

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Speaker 1: social distancing. Okay, that's a little too nineteen eighty four

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Speaker 1: for me. You know, the release of hardened criminals at Rikers. Yeah,

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Speaker 1: a hundred of them so far have been arrested again

425
00:25:07,359 --> 00:25:12,359
Speaker 1: for new crimes. You know, California gave into Elon Musk

426
00:25:12,400 --> 00:25:15,320
Speaker 1: at Tesla. He took a pretty hard stand. In Wisconsin,

427
00:25:15,400 --> 00:25:19,760
Speaker 1: Supreme Court struck down the governor governor Ever's stay at

428
00:25:19,800 --> 00:25:23,200
Speaker 1: home order. You know, people wanting to go to baseball

429
00:25:23,240 --> 00:25:27,360
Speaker 1: and football games this year. Churches across the country now

430
00:25:27,400 --> 00:25:30,320
Speaker 1: are filing lawsuits because they want to be able to

431
00:25:30,359 --> 00:25:34,720
Speaker 1: open social distance, wear masks, and do services. You know,

432
00:25:34,760 --> 00:25:37,240
Speaker 1: then you got people in La like Mayor Garcetti said,

433
00:25:37,240 --> 00:25:41,480
Speaker 1: I'm won't completely open until we have a cure. Forget

434
00:25:41,480 --> 00:25:43,800
Speaker 1: about flattening the curve. I thought were supposed to flatten

435
00:25:43,840 --> 00:25:46,720
Speaker 1: the curve. You know. Now you got in Seattle a

436
00:25:46,840 --> 00:25:50,560
Speaker 1: cop was fired for protesting the lockdown. As Jay Insley

437
00:25:50,720 --> 00:25:55,040
Speaker 1: was declaring, you will confine people without food who don't cooperate.

438
00:25:55,080 --> 00:25:58,919
Speaker 1: What We're gonna let him dive of starvation? Well, I

439
00:25:58,920 --> 00:26:01,560
Speaker 1: mean I couldn't believe it when I read it. You know,

440
00:26:01,600 --> 00:26:04,800
Speaker 1: but he's now out there speaking during an event, you know,

441
00:26:04,880 --> 00:26:07,560
Speaker 1: and he's saying, sometimes two stories appear that fit so

442
00:26:07,720 --> 00:26:10,040
Speaker 1: nicely together. So if you imagine this is all being

443
00:26:10,080 --> 00:26:12,040
Speaker 1: done by a novelist, blah blah blah blah. But anyway,

444
00:26:12,040 --> 00:26:16,400
Speaker 1: a police officer spoke out and he gave a viral

445
00:26:16,480 --> 00:26:20,320
Speaker 1: instinct gram post. He refused to take it down, and

446
00:26:20,800 --> 00:26:24,639
Speaker 1: now they're threatening Jay Insley laid out plans statewide contact

447
00:26:24,640 --> 00:26:27,920
Speaker 1: Tracing initiative and so on and so forth. He says

448
00:26:27,920 --> 00:26:30,480
Speaker 1: it's going to come back and bite us. And Ensley

449
00:26:30,640 --> 00:26:32,520
Speaker 1: is you know now they're putting out there. Okay, well

450
00:26:32,520 --> 00:26:35,080
Speaker 1: you won't get food according to Red State, I didn't

451
00:26:35,119 --> 00:26:39,919
Speaker 1: really read the whole article. I'm just telling you that

452
00:26:40,000 --> 00:26:42,960
Speaker 1: the American people want to open and if we can't

453
00:26:43,040 --> 00:26:46,680
Speaker 1: learn from these these lessons, some of them the success stories,

454
00:26:46,760 --> 00:26:48,919
Speaker 1: what do we do right? What do we do wrong?

455
00:26:49,640 --> 00:26:52,719
Speaker 1: What can we learn from those stories if we protect

456
00:26:52,720 --> 00:26:54,960
Speaker 1: the elderly. This is my take my takeaway. I'm not

457
00:26:55,000 --> 00:26:57,440
Speaker 1: a doctor, not telling you how to live your life.

458
00:26:57,840 --> 00:27:00,560
Speaker 1: I'm saying for me, I want to live for me.

459
00:27:00,640 --> 00:27:03,480
Speaker 1: I don't want to live in fear. For me. I'm

460
00:27:03,560 --> 00:27:06,439
Speaker 1: making the decision that I love people too much, and

461
00:27:06,520 --> 00:27:10,840
Speaker 1: I get it. I'm healthy, relatively young, I get this thing.

462
00:27:10,880 --> 00:27:13,720
Speaker 1: The odds are pretty much in my favor. But you

463
00:27:13,800 --> 00:27:16,199
Speaker 1: know what, for the sake of older people that I

464
00:27:16,280 --> 00:27:18,360
Speaker 1: might come in contact with if I have this thing

465
00:27:18,359 --> 00:27:20,600
Speaker 1: and it could risk their life, I'll wear the mask

466
00:27:20,680 --> 00:27:23,360
Speaker 1: for the time being, because eventually they're gonna have some

467
00:27:23,440 --> 00:27:25,440
Speaker 1: type of treatment, they're gonna come up with some other

468
00:27:25,480 --> 00:27:27,720
Speaker 1: type of testing, They're gonna come up with some way

469
00:27:28,080 --> 00:27:30,240
Speaker 1: to protect people. That's even better. We've made a lot

470
00:27:30,280 --> 00:27:33,080
Speaker 1: of strides, although it's taken a long time, but it's

471
00:27:33,119 --> 00:27:37,199
Speaker 1: relatively historically quick. All right, let me get to the

472
00:27:37,240 --> 00:27:41,639
Speaker 1: greatest crime, as the President said, political crime in our history,

473
00:27:41,680 --> 00:27:44,639
Speaker 1: and that is what they've been doing to General Flint

474
00:27:45,119 --> 00:27:47,960
Speaker 1: and Devin Newness says there will be criminal referrals for

475
00:27:48,119 --> 00:27:51,320
Speaker 1: Muller's investigators. That is a that is very good news.

476
00:27:51,840 --> 00:27:54,600
Speaker 1: We now also know that come and Clapper are going

477
00:27:54,680 --> 00:27:58,480
Speaker 1: to be brought back. June third, Lindsey Graham has his hearings.

478
00:27:58,480 --> 00:28:01,720
Speaker 1: You got the grass, Lee Johnson here is continuing. Comey,

479
00:28:02,000 --> 00:28:06,040
Speaker 1: of course, said in newly released congressional testimony that Clapper

480
00:28:06,160 --> 00:28:10,160
Speaker 1: was the one that briefed Obama. Clapper is saying, oh,

481
00:28:10,200 --> 00:28:14,880
Speaker 1: I didn't brief Obama, And now Senator Kennedy Louisiana saying, well,

482
00:28:14,880 --> 00:28:17,600
Speaker 1: one of you guys is lying. So you don't have

483
00:28:17,640 --> 00:28:19,960
Speaker 1: to be a You don't have to be a senior

484
00:28:19,960 --> 00:28:22,240
Speaker 1: at City College to realize one of them is lying.

485
00:28:23,080 --> 00:28:25,400
Speaker 1: He says that I think we ought to call them

486
00:28:25,400 --> 00:28:27,359
Speaker 1: both back in and ask him which one of you

487
00:28:27,400 --> 00:28:30,200
Speaker 1: guys as lying to Congress, that maybe we'll send twenty

488
00:28:30,280 --> 00:28:32,960
Speaker 1: nine guys in tactical gear like we did to Roger

489
00:28:33,000 --> 00:28:37,280
Speaker 1: Stone's house, of Paul Manifort's house. General Flynn was not

490
00:28:38,680 --> 00:28:42,800
Speaker 1: Judge Sullivan charged with perjury, which would require a materially

491
00:28:42,880 --> 00:28:46,520
Speaker 1: false statement. Here's what's outrageous about what this judge Emmett

492
00:28:46,520 --> 00:28:52,640
Speaker 1: Sullivan did, because he first when they when the prosecutor

493
00:28:52,680 --> 00:28:55,200
Speaker 1: in the defense agreed to drop the charges, you dropped

494
00:28:55,240 --> 00:28:59,280
Speaker 1: the charges. You don't bring in a third party. When

495
00:28:59,440 --> 00:29:03,880
Speaker 1: this same judge in this case was so arrogant and

496
00:29:04,080 --> 00:29:08,240
Speaker 1: so wrong. We now know Flynn was unmasked forty eight

497
00:29:08,360 --> 00:29:13,440
Speaker 1: times by two dozen Obama officials in a very short

498
00:29:13,520 --> 00:29:17,760
Speaker 1: period of time from election Day twenty sixteen through the inauguration,

499
00:29:18,640 --> 00:29:21,720
Speaker 1: And now we now know what they did, We know

500
00:29:21,800 --> 00:29:24,240
Speaker 1: how they ambushed him, We know McCabe said, you don't

501
00:29:24,240 --> 00:29:26,760
Speaker 1: need a lawyer. We know all of this. Why would

502
00:29:26,800 --> 00:29:31,440
Speaker 1: Samantha Power put in seven unmasking requests? Clapper needs to answer.

503
00:29:31,520 --> 00:29:35,640
Speaker 1: Brennan needs to answer. The Treasury Secretary Lou needs to answer.

504
00:29:35,680 --> 00:29:39,720
Speaker 1: SuperPatriot Jim Comy needs to answer. And of all days,

505
00:29:39,800 --> 00:29:43,720
Speaker 1: January fifth, Dennis McDonough, Obama's chief of staff, why did

506
00:29:43,760 --> 00:29:46,920
Speaker 1: he submit a masking request the same day of that

507
00:29:47,080 --> 00:29:50,480
Speaker 1: infamous meeting where Sally Yates was shocked to learn that

508
00:29:50,560 --> 00:29:53,960
Speaker 1: Obama knew everything in the phone call with Kiziak and

509
00:29:55,040 --> 00:29:58,160
Speaker 1: General Flynn? Well, how did he know? Who told him?

510
00:29:58,160 --> 00:30:00,200
Speaker 1: When did he know it? What did he know? When

511
00:30:00,240 --> 00:30:02,800
Speaker 1: did he know it? And then Biden caught red handed

512
00:30:02,880 --> 00:30:05,240
Speaker 1: he put in a request to unmasked Flynn. I can't

513
00:30:05,280 --> 00:30:08,200
Speaker 1: believe it. So now that we know that they sam

514
00:30:08,240 --> 00:30:11,080
Speaker 1: bagged him, ambushed him, ruined three and a half to

515
00:30:11,120 --> 00:30:14,800
Speaker 1: four years of his life, made this guy bankrupt, and

516
00:30:14,840 --> 00:30:17,600
Speaker 1: then threatened to put his own son in jail even

517
00:30:17,640 --> 00:30:19,880
Speaker 1: though they didn't think he was lying. What part of

518
00:30:19,920 --> 00:30:24,000
Speaker 1: this does this judge not understand? Because Sullivan needs to

519
00:30:24,080 --> 00:30:27,800
Speaker 1: understand what they did here. And if somebody says sign this,

520
00:30:27,920 --> 00:30:31,160
Speaker 1: admit to it, or we're gonna put your son in jail,

521
00:30:31,560 --> 00:30:35,600
Speaker 1: most fathers are probably gonna sign it. And that practice

522
00:30:35,680 --> 00:30:38,960
Speaker 1: needs to stop because that lends itself to basically getting

523
00:30:38,960 --> 00:30:41,560
Speaker 1: a get out of jail free card if you suborne

524
00:30:41,640 --> 00:30:46,160
Speaker 1: perjury with prosecutorial miss abuse. And then you got the

525
00:30:46,440 --> 00:30:50,880
Speaker 1: judge Sullivan here appointing this retired Judge Gleeson Clinton appointee.

526
00:30:51,160 --> 00:30:53,440
Speaker 1: This guy already wrote an op ed to fix his

527
00:30:53,560 --> 00:30:58,200
Speaker 1: in He said, he's already made his decision. So now

528
00:30:58,320 --> 00:31:01,440
Speaker 1: we have every second now that added to General Flynn's

529
00:31:01,520 --> 00:31:05,959
Speaker 1: long injustice and nightmare now is being now it's on

530
00:31:06,000 --> 00:31:10,040
Speaker 1: the back of the judge who once accused the basically

531
00:31:10,080 --> 00:31:13,240
Speaker 1: General Flint of being a trader. Had to apologize. But

532
00:31:13,280 --> 00:31:15,760
Speaker 1: it's a little late. Judge. We see your political bias.

533
00:31:15,840 --> 00:31:20,360
Speaker 1: You need to be investigated now and we need a recusal.

534
00:31:20,720 --> 00:31:22,719
Speaker 1: We need to remove from the case. We need a

535
00:31:22,720 --> 00:31:26,080
Speaker 1: new venue immediately. I'd bring this to the Supreme Court

536
00:31:26,120 --> 00:31:29,160
Speaker 1: as fast as possible. Get this guy free, all right.

537
00:31:29,200 --> 00:31:32,160
Speaker 1: Glad you with us our two Sean Hannity Show by

538
00:31:32,160 --> 00:31:34,280
Speaker 1: the way Jay Sekulo at the bottom of the hour,

539
00:31:34,400 --> 00:31:37,400
Speaker 1: responding to I guess now Eric Holder's trying to jump

540
00:31:37,440 --> 00:31:40,400
Speaker 1: into this whole thing in his law firm and what

541
00:31:40,520 --> 00:31:42,600
Speaker 1: the judge is doing in the Flint case. We'll get

542
00:31:42,640 --> 00:31:47,280
Speaker 1: to that. I'm not afraid to admit that I'm wrong sometimes. Now,

543
00:31:47,280 --> 00:31:50,400
Speaker 1: when Georgia announced not by the way, I'm I'm not

544
00:31:50,440 --> 00:31:52,600
Speaker 1: the biggest fan of Governor Kemp. Let me just say

545
00:31:52,640 --> 00:31:57,760
Speaker 1: it right up front. I thought that the selection of Loffler,

546
00:31:57,800 --> 00:32:01,920
Speaker 1: who doesn't have any experience, over or Doug Collins was

547
00:32:01,920 --> 00:32:04,760
Speaker 1: a bad idea. Nobody ever listens to me anyway, but

548
00:32:05,080 --> 00:32:08,840
Speaker 1: I made my feelings known, and I think when they

549
00:32:08,880 --> 00:32:11,520
Speaker 1: have they're big jumbled up primary down there, that it's

550
00:32:11,720 --> 00:32:13,680
Speaker 1: it's gonna be Doug Collins by a long shot. And

551
00:32:13,720 --> 00:32:16,840
Speaker 1: I just happened to favor him, Okay, But when the

552
00:32:16,920 --> 00:32:20,480
Speaker 1: governor announced he was reopening and he was the first

553
00:32:21,120 --> 00:32:25,960
Speaker 1: to talk about reopening salons for example, for people to

554
00:32:26,000 --> 00:32:30,040
Speaker 1: get manicures and pedicures and tattoo parlors, which I didn't understand.

555
00:32:30,080 --> 00:32:32,840
Speaker 1: That made no sense to me. Now, then when I

556
00:32:32,960 --> 00:32:37,040
Speaker 1: saw how they were doing the manicure pedicure thing, and

557
00:32:37,440 --> 00:32:41,480
Speaker 1: you have literally the plexiglass built up. Both the customer

558
00:32:41,600 --> 00:32:46,040
Speaker 1: and the person given the manicure have masks on. The

559
00:32:46,080 --> 00:32:49,440
Speaker 1: person given the manicure as gloves on, and it was

560
00:32:49,640 --> 00:32:51,880
Speaker 1: at a bigger distance than usual, and you put your

561
00:32:51,880 --> 00:32:54,120
Speaker 1: hands under the plexiglass. That said, you know what, that

562
00:32:54,160 --> 00:32:56,760
Speaker 1: could work. That makes sense to me. I want to

563
00:32:56,840 --> 00:32:59,160
Speaker 1: learn from those things that worked and those that didn't.

564
00:32:59,200 --> 00:33:03,400
Speaker 1: And appears coronavirus cases in Georgia and Florida have now

565
00:33:03,440 --> 00:33:08,640
Speaker 1: declined by twelve and fourteen percent, respectively, according to Axios,

566
00:33:09,280 --> 00:33:12,680
Speaker 1: and new cases in Florida declined fourteen percent compared to

567
00:33:12,720 --> 00:33:15,200
Speaker 1: the previous week. Georgia felled by twelve percent. Now they've

568
00:33:15,200 --> 00:33:18,160
Speaker 1: been opened, you know again, they've they've had a reopening

569
00:33:18,160 --> 00:33:20,720
Speaker 1: now a couple of weeks. Why I was nervous about

570
00:33:20,800 --> 00:33:24,360
Speaker 1: Georgia was if they got it wrong, they would have

571
00:33:24,400 --> 00:33:28,640
Speaker 1: bludge in camp and bludgeoned any attempts to reopen anything. Now,

572
00:33:28,760 --> 00:33:32,720
Speaker 1: what else have we learned? Well, we look now at

573
00:33:32,760 --> 00:33:35,480
Speaker 1: and I'm not doing this. I'm not playing politics here.

574
00:33:35,560 --> 00:33:38,400
Speaker 1: I am just giving facts in information because it matters.

575
00:33:38,440 --> 00:33:41,640
Speaker 1: What can we learn that we did right? The manufacturers

576
00:33:41,640 --> 00:33:43,480
Speaker 1: of healthcare equipment. And we're going to get to doctor

577
00:33:43,520 --> 00:33:46,920
Speaker 1: Os on this in a second. The health the manufacturers

578
00:33:46,920 --> 00:33:49,880
Speaker 1: of all the health equipment or every bit of it

579
00:33:49,960 --> 00:33:53,240
Speaker 1: that New York needed in the middle of this pandemic.

580
00:33:53,720 --> 00:33:56,880
Speaker 1: It only existed because they never shut down those facilities.

581
00:33:56,920 --> 00:34:00,640
Speaker 1: I'd not heard about any outbreak in any man manufacturing

582
00:34:00,720 --> 00:34:04,680
Speaker 1: center that was making medical equipment that kept New York alive.

583
00:34:05,520 --> 00:34:08,440
Speaker 1: I've not heard about an outbreak for food producers and

584
00:34:08,520 --> 00:34:11,720
Speaker 1: farmers and packers and truckers. And I keep talking about

585
00:34:11,719 --> 00:34:13,640
Speaker 1: the guy that stocks the shelves that I talked to

586
00:34:13,719 --> 00:34:17,680
Speaker 1: every week at my local grocery store. Now Okay, Now

587
00:34:17,719 --> 00:34:22,320
Speaker 1: Florida had a mobilization of the National Guard and every

588
00:34:22,440 --> 00:34:27,520
Speaker 1: state agency, and they targeted long term care facilities for

589
00:34:27,560 --> 00:34:31,480
Speaker 1: the elderlys, the villages and nursing homes. They went into

590
00:34:31,600 --> 00:34:35,319
Speaker 1: all of them, and about you, and they have a

591
00:34:35,400 --> 00:34:39,440
Speaker 1: very high population of elderly people. And wow, when you

592
00:34:39,440 --> 00:34:42,520
Speaker 1: look at the death rate is so dramatically lower then

593
00:34:42,600 --> 00:34:46,120
Speaker 1: states like New York, Pennsylvania, New Jersey, in Michigan. Now,

594
00:34:46,200 --> 00:34:50,760
Speaker 1: March twenty fifth is when Governor Cuomo forced nursing homes

595
00:34:50,760 --> 00:34:54,560
Speaker 1: and elder care facilities to accept coronavirus patients. That was

596
00:34:54,640 --> 00:34:58,640
Speaker 1: March twenty fifth. March twenty ninth, Pennsylvania followed New York.

597
00:34:58,960 --> 00:35:02,799
Speaker 1: Then on April six, New Jersey followed New York in Pennsylvania.

598
00:35:02,840 --> 00:35:05,440
Speaker 1: And we already know how bad Michigan is. Bead. Now

599
00:35:05,520 --> 00:35:08,160
Speaker 1: when you look at the total number of deaths in

600
00:35:08,360 --> 00:35:11,560
Speaker 1: New York now closing in on twenty eight thousand, New

601
00:35:11,640 --> 00:35:16,200
Speaker 1: Jersey nine thousand and seven hundred and two. Massachusetts was high.

602
00:35:16,239 --> 00:35:20,120
Speaker 1: They made similar mistakes. Then you look at Pennsylvania nearly

603
00:35:20,160 --> 00:35:23,799
Speaker 1: four thousand, Michigan four thousand and seven hundred and eighty.

604
00:35:23,880 --> 00:35:26,520
Speaker 1: Then we go down to Florida, in Texas, big states, right,

605
00:35:27,600 --> 00:35:31,319
Speaker 1: and Georgia all right, neither one of them is near

606
00:35:31,400 --> 00:35:34,960
Speaker 1: two thousand, one thousand, one hundred in Texas, one thousand,

607
00:35:35,040 --> 00:35:38,839
Speaker 1: eight hundred in Florida, one thousand, five hundred in Georgia. Now,

608
00:35:38,880 --> 00:35:40,960
Speaker 1: one death is too many. We don't want anybody to

609
00:35:41,000 --> 00:35:44,200
Speaker 1: die at all. Now, how do we apply these lessons

610
00:35:44,239 --> 00:35:47,160
Speaker 1: to opening things up safely? Doctor Oz? We bring you in.

611
00:35:47,200 --> 00:35:52,879
Speaker 1: I'm not playing politics here, I am looking for solutions here. Well,

612
00:35:52,880 --> 00:35:56,400
Speaker 1: if you look at the countries that have been successful

613
00:35:56,480 --> 00:35:58,640
Speaker 1: so far, and it's so early. As you point out, hey,

614
00:35:58,640 --> 00:36:02,000
Speaker 1: look at the states that's so far are heading towards

615
00:36:02,080 --> 00:36:04,879
Speaker 1: opening with that major catastrophes. You mentioned Georgia where they're

616
00:36:04,880 --> 00:36:07,040
Speaker 1: just over fifteen hundred cases, and it's like, I think

617
00:36:07,080 --> 00:36:10,120
Speaker 1: eighteen hundred, less than eighteen hundred in Florida. They do

618
00:36:10,160 --> 00:36:13,040
Speaker 1: a couple of things really important. First off, even if

619
00:36:13,040 --> 00:36:14,839
Speaker 1: we don't have all the testing we need, they know

620
00:36:14,920 --> 00:36:17,000
Speaker 1: who to test, so they go after the folks that

621
00:36:17,080 --> 00:36:19,399
Speaker 1: are most at risk. And you point out the nursing homes.

622
00:36:19,400 --> 00:36:24,440
Speaker 1: One third of all COVID depths one third are nursing homes,

623
00:36:24,480 --> 00:36:26,279
Speaker 1: and in some stages more than that, as you pointed

624
00:36:26,320 --> 00:36:28,759
Speaker 1: out many times, and eighty percent of the deavs from

625
00:36:28,760 --> 00:36:30,960
Speaker 1: folks over sixty five. But I actually focus more on

626
00:36:31,080 --> 00:36:33,759
Speaker 1: risk factors. You have diabetes and high blood pressure. You know,

627
00:36:33,800 --> 00:36:37,160
Speaker 1: almost ninety percent of hospitalized patients from the Big North

628
00:36:37,160 --> 00:36:39,919
Speaker 1: Wales system here in New York had two, not just one,

629
00:36:40,160 --> 00:36:42,960
Speaker 1: had at least two chronic medical conditions. So we know

630
00:36:43,040 --> 00:36:44,719
Speaker 1: the folks that are at risk, if we can keep

631
00:36:44,840 --> 00:36:47,840
Speaker 1: them from getting infected, taking doing whatever it takes in

632
00:36:48,160 --> 00:36:50,600
Speaker 1: you know, going to nursing homes and protecting them and

633
00:36:50,640 --> 00:36:53,520
Speaker 1: making sure they're strong rules and they're well taking care

634
00:36:53,520 --> 00:36:57,040
Speaker 1: of its importantness. Sweden's major downfall, by the way, was

635
00:36:57,160 --> 00:36:59,120
Speaker 1: they couldn't do that because they're privately owned. They couldn't

636
00:36:59,200 --> 00:37:01,400
Speaker 1: enforce the rules early on. Now they're on top of

637
00:37:01,440 --> 00:37:04,160
Speaker 1: that as well. But outside of that exception, they were

638
00:37:04,200 --> 00:37:06,279
Speaker 1: generally doing well. It's a very different country than us,

639
00:37:06,600 --> 00:37:10,200
Speaker 1: less obesity. You know, they don't live in big family groups.

640
00:37:10,200 --> 00:37:12,640
Speaker 1: I mean, there's other reasons we it's harder to emulate them.

641
00:37:12,680 --> 00:37:15,360
Speaker 1: But other than that, they've done okay, and they never closed.

642
00:37:15,600 --> 00:37:17,799
Speaker 1: So the question for us is can we focus it

643
00:37:17,800 --> 00:37:20,920
Speaker 1: on these vulnerable populations, keep them safe while letting the

644
00:37:20,960 --> 00:37:24,319
Speaker 1: rest of the population that doesn't seem to get hospitalized

645
00:37:24,600 --> 00:37:27,440
Speaker 1: that nearly as frequently. So if they get COVID nineteen,

646
00:37:27,440 --> 00:37:30,480
Speaker 1: they'll either be asymptomatic or symptoms small enough that you

647
00:37:30,480 --> 00:37:33,080
Speaker 1: know they're at home for quarantine, but they're not home

648
00:37:33,080 --> 00:37:35,880
Speaker 1: because they're definthly ill. And I think we can so

649
00:37:35,960 --> 00:37:39,080
Speaker 1: if we take the lessons. Okay, they didn't. They made

650
00:37:39,160 --> 00:37:43,160
Speaker 1: really dumb decisions in these states by allowing COVID nineteen

651
00:37:43,200 --> 00:37:46,840
Speaker 1: patients among the most vulnerable population that's not playing politics

652
00:37:47,760 --> 00:37:51,360
Speaker 1: and you can see. It is a dramatic difference versus

653
00:37:51,400 --> 00:37:53,680
Speaker 1: what Florida did. They have a high percentage of the

654
00:37:53,719 --> 00:37:57,680
Speaker 1: population as the elderly they retired down there. Now, when

655
00:37:57,719 --> 00:38:00,520
Speaker 1: I look at all the medical manufacturers, doctors, and then

656
00:38:00,560 --> 00:38:03,000
Speaker 1: I look at my buddy that stocks the shells that

657
00:38:03,040 --> 00:38:05,200
Speaker 1: I put on the radio this week, I see I

658
00:38:05,239 --> 00:38:08,200
Speaker 1: saw him every week. Is an epicenter of this. Every

659
00:38:08,280 --> 00:38:10,960
Speaker 1: store in New York State, open grocery store. Everyone was

660
00:38:11,080 --> 00:38:15,240
Speaker 1: full with everything you need except toilet paper and paper towels.

661
00:38:15,880 --> 00:38:18,640
Speaker 1: And he's there every week. They all had gloves and masks.

662
00:38:18,840 --> 00:38:23,080
Speaker 1: All the medical machinery manufacturers, equipment manufacturers, they all wore

663
00:38:23,600 --> 00:38:28,520
Speaker 1: gloves and masks. So between those two big components and

664
00:38:28,600 --> 00:38:31,799
Speaker 1: we didn't see major outbreaks. Can we learn that that's

665
00:38:31,840 --> 00:38:35,960
Speaker 1: how you do it safely? Or a big part of it.

666
00:38:35,960 --> 00:38:38,479
Speaker 1: It's a big part. It's been studied now. We there's

667
00:38:38,520 --> 00:38:41,400
Speaker 1: a study just today that looked at how much sputum

668
00:38:41,440 --> 00:38:44,080
Speaker 1: comes out of your mouth when you speak loudly, and

669
00:38:44,200 --> 00:38:46,919
Speaker 1: it's enough to percolate for eight minutes around your head

670
00:38:47,200 --> 00:38:49,319
Speaker 1: and involve anyone near you. So if you're the meat

671
00:38:49,320 --> 00:38:52,600
Speaker 1: packing facility working elbow to elbow, face to face the

672
00:38:52,640 --> 00:38:57,000
Speaker 1: people as the carcass comes down the trolley. And there

673
00:38:57,040 --> 00:39:01,840
Speaker 1: you're making my stake sound very, very appealing for Tonightclorkark

674
00:39:01,960 --> 00:39:06,239
Speaker 1: is come back. That population is going to have a

675
00:39:06,280 --> 00:39:09,879
Speaker 1: more difficult time than medical workers who wearing masks where

676
00:39:09,880 --> 00:39:11,680
Speaker 1: you can actually dissist them. But I tell you could

677
00:39:11,680 --> 00:39:13,480
Speaker 1: do that also in the meat packing facilities. And I've

678
00:39:13,480 --> 00:39:17,680
Speaker 1: spoken to folks because I'm fascinated and very worried about

679
00:39:17,680 --> 00:39:20,160
Speaker 1: the fact that our supply chain was as fascial as

680
00:39:20,160 --> 00:39:22,240
Speaker 1: it appears as it was. But thankfully you know, people

681
00:39:22,440 --> 00:39:24,759
Speaker 1: are trying to fix it aggressively. And one of the

682
00:39:24,960 --> 00:39:27,719
Speaker 1: issues is can you put barriers between these workers? Can

683
00:39:27,760 --> 00:39:30,080
Speaker 1: you make sure they don't work opposite each other? Staggered

684
00:39:30,120 --> 00:39:31,480
Speaker 1: them at time of it, And I think you can.

685
00:39:31,920 --> 00:39:33,200
Speaker 1: But the other thing you want to point out, this

686
00:39:33,239 --> 00:39:35,359
Speaker 1: is pretty critical. You'll notice that a New York state,

687
00:39:35,560 --> 00:39:39,320
Speaker 1: sixty six percent of the hospitalized patients now we're already

688
00:39:39,320 --> 00:39:42,520
Speaker 1: sheltering right eight. More than eighty percent were either retired

689
00:39:42,600 --> 00:39:45,279
Speaker 1: or they weren't working. They're staying at home, and so

690
00:39:45,440 --> 00:39:47,360
Speaker 1: they're still getting sick. So one major theme, and this

691
00:39:47,400 --> 00:39:49,600
Speaker 1: may have happened in the meatpacking facilities as well. A

692
00:39:49,600 --> 00:39:52,160
Speaker 1: lot of times if in these in these families, you

693
00:39:52,440 --> 00:39:54,680
Speaker 1: go home right when you caught the virus at home

694
00:39:54,680 --> 00:39:56,720
Speaker 1: where you got it for someone else who's working elsewhere.

695
00:39:56,960 --> 00:39:59,399
Speaker 1: You're in a crowded environment where everyone's sit on top

696
00:39:59,440 --> 00:40:01,560
Speaker 1: of each other. It's very hard to socially distance at home.

697
00:40:01,600 --> 00:40:03,560
Speaker 1: So you've got ten people in the family, one person

698
00:40:03,600 --> 00:40:05,760
Speaker 1: gets sick, the whole family goes down. That's what happened

699
00:40:05,760 --> 00:40:08,360
Speaker 1: in Italy or than anything else, because they all live together.

700
00:40:08,640 --> 00:40:10,600
Speaker 1: So in our country, we're going to have to aggressively

701
00:40:10,640 --> 00:40:13,440
Speaker 1: go after that in the more impoverished communities. How do

702
00:40:13,480 --> 00:40:16,239
Speaker 1: we protect people who are vulnerable so if the young

703
00:40:16,280 --> 00:40:19,080
Speaker 1: people and their kids get sick, it doesn't evolve grandma

704
00:40:19,120 --> 00:40:22,600
Speaker 1: who can't afford to get ill. Okay, now you're bringing

705
00:40:22,680 --> 00:40:26,760
Speaker 1: up another part. We'll call this part Sea of reopening safely.

706
00:40:26,760 --> 00:40:30,000
Speaker 1: All Right. We had three meat processing plant outbreaks, one

707
00:40:30,040 --> 00:40:33,080
Speaker 1: in South Dakota, one in Iowa, one in Washington State.

708
00:40:33,120 --> 00:40:36,440
Speaker 1: If I'm not mistaken, in all three cases we jumped

709
00:40:36,440 --> 00:40:38,719
Speaker 1: on it. We consider that a hot spot, and they

710
00:40:38,719 --> 00:40:43,120
Speaker 1: were able to, as I understand it, successfully stopped the

711
00:40:43,200 --> 00:40:47,360
Speaker 1: spread of the virus and reopen at least two of

712
00:40:47,400 --> 00:40:49,680
Speaker 1: the states that I know of all right now, the

713
00:40:49,719 --> 00:40:52,439
Speaker 1: shelter in place issues fascinating to me because what you're

714
00:40:52,440 --> 00:40:54,759
Speaker 1: saying there is when people live on top of each other,

715
00:40:55,280 --> 00:40:57,840
Speaker 1: when young people are out and about and maybe not

716
00:40:57,960 --> 00:41:02,000
Speaker 1: socially distancing or wearing masks, they bring at home to grandma,

717
00:41:02,120 --> 00:41:06,240
Speaker 1: grandpa or elderly parents, and that's how they're getting sick.

718
00:41:06,400 --> 00:41:09,480
Speaker 1: That would tell me that if we love our parents

719
00:41:09,480 --> 00:41:13,440
Speaker 1: and grandparents and we're younger and healthier, that the reason

720
00:41:13,480 --> 00:41:16,279
Speaker 1: you're gonna again this is temporary. Wear a mask is

721
00:41:16,280 --> 00:41:21,160
Speaker 1: to protect them when you do go home with that question,

722
00:41:21,320 --> 00:41:23,200
Speaker 1: it is the most loving thing you can do. You know,

723
00:41:23,239 --> 00:41:25,560
Speaker 1: all my nurses last week I was we were giving

724
00:41:25,640 --> 00:41:28,360
Speaker 1: nurses meals just because it was National Nurses Week, are

725
00:41:28,440 --> 00:41:30,799
Speaker 1: trying to thank thank you, and they all came back

726
00:41:30,800 --> 00:41:32,239
Speaker 1: to me and told me the same thing. If you

727
00:41:32,239 --> 00:41:34,319
Speaker 1: want to say thank you, I appreciate the meal, But

728
00:41:34,360 --> 00:41:36,000
Speaker 1: if you want to say thank you, wear a mask.

729
00:41:36,560 --> 00:41:38,200
Speaker 1: That's what they want from us, and that's what I want,

730
00:41:38,200 --> 00:41:41,040
Speaker 1: Redwood hearing. Right now, it is the simple, easiest thing. Now,

731
00:41:41,120 --> 00:41:43,520
Speaker 1: it doesn't guarantee you won't have an issue wearing this

732
00:41:43,680 --> 00:41:45,880
Speaker 1: mask correctly. He's not always easy. Not all masks are

733
00:41:45,880 --> 00:41:48,239
Speaker 1: equally good, and all those things. It doesn't reduce it

734
00:41:48,280 --> 00:41:51,040
Speaker 1: to zero, but it makes it. Then. The other reality is,

735
00:41:51,040 --> 00:41:52,960
Speaker 1: if there's a member of your families who you know

736
00:41:53,080 --> 00:41:56,280
Speaker 1: is frailer, is there wing them out of a crowded environment.

737
00:41:56,320 --> 00:41:58,239
Speaker 1: Can you send them somewhere where they can stay with

738
00:41:58,280 --> 00:42:00,800
Speaker 1: other members of the family where they're not as exposed.

739
00:42:00,800 --> 00:42:02,920
Speaker 1: We did that in our family, and others may have

740
00:42:03,000 --> 00:42:04,919
Speaker 1: the ability, may not, but this is the time to ship.

741
00:42:04,920 --> 00:42:08,239
Speaker 1: Didn't help out if you can adopt someone that comes

742
00:42:08,239 --> 00:42:10,520
Speaker 1: stay with you because it's a most dispersed area, they

743
00:42:10,520 --> 00:42:12,600
Speaker 1: have a little more room, or rural area. This is

744
00:42:12,640 --> 00:42:14,520
Speaker 1: a good time to get out of congested cities if

745
00:42:14,520 --> 00:42:18,120
Speaker 1: you're older and frail. When you see what's going on

746
00:42:18,160 --> 00:42:20,720
Speaker 1: in New York and how empty it is, Betsy McCoy

747
00:42:20,719 --> 00:42:23,480
Speaker 1: had an article, it's scary. I don't think half of

748
00:42:23,560 --> 00:42:25,480
Speaker 1: New York stores can open up again. I don't think

749
00:42:25,520 --> 00:42:27,560
Speaker 1: they're ever going to open up again. I don't think

750
00:42:27,600 --> 00:42:32,239
Speaker 1: they can survive well. The reason I'm confident that we'll

751
00:42:32,280 --> 00:42:34,359
Speaker 1: get through this is I'm seeing what's happening in other

752
00:42:34,360 --> 00:42:38,000
Speaker 1: countries and it's not easy. Everyone's finding their own path

753
00:42:38,080 --> 00:42:41,320
Speaker 1: through it. And we're also in New York. We're different

754
00:42:41,360 --> 00:42:43,919
Speaker 1: from Georgia, right, so we should learn from what's happening.

755
00:42:44,080 --> 00:42:47,160
Speaker 1: Yet we're dumb because we stay here and pay taxes

756
00:42:47,239 --> 00:42:51,720
Speaker 1: with the worst infrastructure and the highest taxes and everything. Sorry,

757
00:42:51,800 --> 00:42:54,800
Speaker 1: and the dumbest politicians. But that's my comment, not yours.

758
00:42:54,840 --> 00:42:57,480
Speaker 1: Go ahead. We stay here for the people because we

759
00:42:57,520 --> 00:43:00,440
Speaker 1: love other New Yorkers. We love the energy, we love

760
00:43:00,480 --> 00:43:02,200
Speaker 1: the fact that stuff gets done. I mean, it's cool

761
00:43:02,239 --> 00:43:04,600
Speaker 1: that we didn't back our way into this place. I

762
00:43:04,640 --> 00:43:06,799
Speaker 1: came here. I'm not from New York originally, so I

763
00:43:06,880 --> 00:43:10,200
Speaker 1: love what New York represents. But that congestion and some

764
00:43:10,280 --> 00:43:13,080
Speaker 1: of our social issues have created other problems that are

765
00:43:13,239 --> 00:43:14,839
Speaker 1: not just unique to New York. There are other parts

766
00:43:14,840 --> 00:43:16,600
Speaker 1: of the world and in this country. But we have

767
00:43:16,760 --> 00:43:18,839
Speaker 1: to have a major debuls of it. If we can

768
00:43:18,880 --> 00:43:21,600
Speaker 1: figure it out, it will be helping everybody. And I'm

769
00:43:21,640 --> 00:43:25,160
Speaker 1: confident medical technology is going to advance. I so believe

770
00:43:25,200 --> 00:43:27,880
Speaker 1: that by early twenty twenty one, despite all the conversations

771
00:43:27,880 --> 00:43:30,080
Speaker 1: over the last twenty four hours, we're going to have

772
00:43:30,120 --> 00:43:32,160
Speaker 1: some vaccines that can be given perhaps to the most

773
00:43:32,239 --> 00:43:34,920
Speaker 1: urgently in need, nursing home folks, older folks who as

774
00:43:34,920 --> 00:43:37,600
Speaker 1: almos through shure it's safe. And I think we'll open

775
00:43:37,680 --> 00:43:39,120
Speaker 1: our stores because I think we're going to find that

776
00:43:39,320 --> 00:43:42,520
Speaker 1: the virus doesn't hurt younger Americans as much as so

777
00:43:42,800 --> 00:43:44,920
Speaker 1: eventually we'll get to a place where people feel safe again.

778
00:43:44,960 --> 00:43:46,440
Speaker 1: It's gonna take us a while it will happen, But

779
00:43:46,480 --> 00:43:48,719
Speaker 1: in the meantime, we don't want to throw away all

780
00:43:48,719 --> 00:43:52,600
Speaker 1: that wonderful progress we've made shutting down an infection that

781
00:43:52,640 --> 00:43:56,880
Speaker 1: was ravaging us. So if we target and protect the elderly,

782
00:43:57,080 --> 00:43:59,960
Speaker 1: really hone in on all these nursing care facilities, elder

783
00:44:00,080 --> 00:44:03,640
Speaker 1: care facilities really targeted, make sure that they're safe, they're

784
00:44:03,680 --> 00:44:08,120
Speaker 1: not taking in COVID nineteen patients, for example. And if

785
00:44:08,239 --> 00:44:11,759
Speaker 1: younger people are willing to continue to social distance wear

786
00:44:11,920 --> 00:44:17,280
Speaker 1: masks like the medical manufacturers and the farmers and packers,

787
00:44:17,320 --> 00:44:19,719
Speaker 1: truckers and the guys that stock the shelves, even in

788
00:44:19,719 --> 00:44:22,280
Speaker 1: the epicenter of this that wore them and stayed safe,

789
00:44:23,320 --> 00:44:25,840
Speaker 1: then they won't go home with the virus and impact

790
00:44:25,880 --> 00:44:28,799
Speaker 1: older people in their lives. How far along are we

791
00:44:28,920 --> 00:44:32,960
Speaker 1: towards a reopening them we percent If you could put

792
00:44:32,960 --> 00:44:36,520
Speaker 1: a number on it, I mean I think that by July.

793
00:44:37,640 --> 00:44:40,480
Speaker 1: It's data not dates that matter. But since you're asking

794
00:44:40,520 --> 00:44:43,560
Speaker 1: me my personal opinion, I think by July we'll start

795
00:44:43,560 --> 00:44:47,719
Speaker 1: to open New York and hopefully with successful results following guidelines.

796
00:44:47,760 --> 00:44:50,200
Speaker 1: Not Northern New York States opening now, but did the

797
00:44:50,200 --> 00:44:54,000
Speaker 1: city itself will start to open. And I'm also hopeful

798
00:44:54,360 --> 00:44:56,840
Speaker 1: that we're going to be able to be smarter, smart

799
00:44:56,840 --> 00:44:58,640
Speaker 1: about the tactics we date, do, we do take. And

800
00:44:58,680 --> 00:45:00,520
Speaker 1: you know, I just did a show that today with

801
00:45:00,920 --> 00:45:04,960
Speaker 1: these wonderful public health officials. These guys are the ones

802
00:45:05,000 --> 00:45:07,400
Speaker 1: that go out there and do the screening. You're going

803
00:45:07,440 --> 00:45:09,359
Speaker 1: to be called by someone if you're just seeing right now,

804
00:45:09,480 --> 00:45:11,560
Speaker 1: if someone takes test positive, you're getting get a phone

805
00:45:11,560 --> 00:45:13,920
Speaker 1: call from your local department of health. They're going to

806
00:45:14,000 --> 00:45:17,359
Speaker 1: introduce themselves and they're going to say anonymously, we have

807
00:45:17,680 --> 00:45:20,080
Speaker 1: someone who thinks they can't we're in contact with you.

808
00:45:20,320 --> 00:45:22,520
Speaker 1: We want to take the following precautions. Please do these things.

809
00:45:23,040 --> 00:45:25,040
Speaker 1: Please don't get close to someone who's vulnerable and hill

810
00:45:25,360 --> 00:45:28,160
Speaker 1: and that way long as they maintain medical privacy I mean,

811
00:45:28,280 --> 00:45:31,000
Speaker 1: I could see these guys abusing all this pacy. This

812
00:45:31,040 --> 00:45:33,200
Speaker 1: is the most important it will John, It would kill

813
00:45:33,520 --> 00:45:36,000
Speaker 1: this effort if they weren't keeping it private. They're not

814
00:45:36,040 --> 00:45:38,239
Speaker 1: going to ask you any of your data. They're just

815
00:45:38,280 --> 00:45:40,759
Speaker 1: going to help you understand what the potential risks are

816
00:45:41,040 --> 00:45:43,000
Speaker 1: and help you find better ways. Think care yourself if

817
00:45:43,040 --> 00:45:44,600
Speaker 1: you need it. But there's going to be if you

818
00:45:44,840 --> 00:45:47,480
Speaker 1: if you're out a job right now. These are online courses,

819
00:45:48,040 --> 00:45:50,520
Speaker 1: online courses, and it's a great job to have, and

820
00:45:50,520 --> 00:45:51,960
Speaker 1: you'll be doing a great service for the country. And

821
00:45:51,960 --> 00:45:53,920
Speaker 1: we're gonna be hiring hundreds of thousands of people to

822
00:45:53,960 --> 00:45:56,080
Speaker 1: do that at least for the next year to get

823
00:45:56,120 --> 00:45:58,799
Speaker 1: us through this. All right, Doctor os always the best

824
00:45:58,880 --> 00:46:02,320
Speaker 1: medical a team. All your help is always looking for solutions,

825
00:46:04,760 --> 00:46:08,719
Speaker 1: all right? Eight Sean, all right, let's say hi to

826
00:46:08,760 --> 00:46:10,960
Speaker 1: Scott and Rhode Island. Hey, Scott, how are you? I

827
00:46:11,000 --> 00:46:13,719
Speaker 1: know Rode Ryan got hit hard midway between New York

828
00:46:13,760 --> 00:46:18,640
Speaker 1: and Boston. What's going on? Not much real frustrated today. Um,

829
00:46:18,960 --> 00:46:21,440
Speaker 1: I'm a coach in the youth Little league here and

830
00:46:22,560 --> 00:46:26,319
Speaker 1: Florida and Arizona came out today stating that they're going

831
00:46:26,400 --> 00:46:28,960
Speaker 1: to continue and they're going to allow youth sports and

832
00:46:29,040 --> 00:46:33,000
Speaker 1: our governor has decided not to UM. However, she's allowing

833
00:46:33,040 --> 00:46:37,240
Speaker 1: summer camps that start in June twenty ninth. So unless

834
00:46:37,239 --> 00:46:41,759
Speaker 1: something changes with the CDC guidelines, we're pretty much out. UM.

835
00:46:42,160 --> 00:46:45,479
Speaker 1: So look it happened. Both my kids are athletes, and

836
00:46:45,760 --> 00:46:49,280
Speaker 1: you know, one had their season shutdown. One is worried

837
00:46:49,280 --> 00:46:53,000
Speaker 1: about next season, you know. Yeah, and you know, my

838
00:46:53,080 --> 00:46:54,920
Speaker 1: guys at twelve year old this year, so it's the

839
00:46:55,200 --> 00:46:58,040
Speaker 1: last year on the little field. UM, and you know,

840
00:46:58,239 --> 00:47:00,120
Speaker 1: a suport like that, there's some things that we can do,

841
00:47:00,280 --> 00:47:02,640
Speaker 1: such as limiting the amounts of kids on per team,

842
00:47:03,400 --> 00:47:07,800
Speaker 1: staggering times, uh, you know, calling balls and strikes from behind,

843
00:47:08,320 --> 00:47:10,520
Speaker 1: from behind the pictures mound and things like that. So

844
00:47:10,560 --> 00:47:13,839
Speaker 1: it's just, uh, it's incredibly disappointing. I think if we

845
00:47:13,960 --> 00:47:16,480
Speaker 1: use our ingenuity and this is what we learned. The

846
00:47:16,560 --> 00:47:20,360
Speaker 1: medical manufacturers that kept us alive, they did it safely.

847
00:47:20,600 --> 00:47:24,440
Speaker 1: The food supply chain was was done safely. The stores

848
00:47:24,560 --> 00:47:27,399
Speaker 1: kept open safely. If they ever shut down. New York

849
00:47:27,920 --> 00:47:31,040
Speaker 1: and in other states were dead. So we got to

850
00:47:31,120 --> 00:47:33,359
Speaker 1: learn from what they did. Right. Florida did a great job.

851
00:47:33,680 --> 00:47:36,320
Speaker 1: How are they follow question? I think it's asked in

852
00:47:36,360 --> 00:47:39,440
Speaker 1: the ceremony about the Russia probe. Right now, why did

853
00:47:39,480 --> 00:47:42,880
Speaker 1: you decide to unmask so many individuals in twenty sixteen?

854
00:47:43,000 --> 00:47:47,040
Speaker 1: Was I wouldn't you wanted you to clear the record? What?

855
00:47:47,080 --> 00:47:52,239
Speaker 1: Why is it fall I'm trying to Some Republicans have

856
00:47:52,280 --> 00:47:55,120
Speaker 1: called on investigators to probe whether or not the Obama

857
00:47:55,120 --> 00:48:01,360
Speaker 1: administration top officials inappropriately unmasked member of the Trump team.

858
00:48:01,640 --> 00:48:04,840
Speaker 1: Is that a serious question that you're pursuing now or

859
00:48:05,040 --> 00:48:08,879
Speaker 1: is it a sum of suggestive a political sideshow. It

860
00:48:08,920 --> 00:48:12,680
Speaker 1: really is a side show. There are always questions you

861
00:48:12,760 --> 00:48:14,960
Speaker 1: can ask about any of the procedures that are used

862
00:48:14,960 --> 00:48:18,200
Speaker 1: by the intelligence community. But we see no evidence of

863
00:48:18,239 --> 00:48:22,400
Speaker 1: any malicious unmasking. There was no evidence of any malice,

864
00:48:22,480 --> 00:48:24,839
Speaker 1: no backdoor surveillance. So then they moved on to get

865
00:48:24,880 --> 00:48:28,840
Speaker 1: another theory, and that is, well, names were improperly or

866
00:48:28,880 --> 00:48:32,800
Speaker 1: politically unmasked. There's been no evidence of any politics involved

867
00:48:32,800 --> 00:48:36,520
Speaker 1: in unmasking, and so that's not my question. My question

868
00:48:36,800 --> 00:48:40,439
Speaker 1: was we're getting ready to maybe reauthorize seven or two.

869
00:48:40,480 --> 00:48:42,360
Speaker 1: I don't think we ought to reauthorize it until we

870
00:48:42,400 --> 00:48:44,759
Speaker 1: find out from the intelligence community where there are no

871
00:48:44,840 --> 00:48:48,319
Speaker 1: indictments that have been issued against the intelligence community based

872
00:48:48,400 --> 00:48:50,799
Speaker 1: upon the statements that you have made to see whether

873
00:48:50,880 --> 00:48:53,000
Speaker 1: or not they're violating the law. And they refuse to

874
00:48:53,040 --> 00:48:57,320
Speaker 1: give this committee the information about how many people have

875
00:48:57,480 --> 00:49:01,719
Speaker 1: been caught up in that, And we've been in stonewall

876
00:49:01,800 --> 00:49:04,640
Speaker 1: by the intelligence community saying, well, we just can't do it.

877
00:49:04,920 --> 00:49:09,680
Speaker 1: Why can't the intelligence community get some geek over it

878
00:49:10,400 --> 00:49:13,200
Speaker 1: best buy and have them come in and answer that

879
00:49:13,280 --> 00:49:16,920
Speaker 1: question with a few little taps into the big computer system.

880
00:49:17,000 --> 00:49:19,320
Speaker 1: We just want the number at the time of the

881
00:49:19,320 --> 00:49:21,719
Speaker 1: gentleman has inspired the witness to answer the question as

882
00:49:21,719 --> 00:49:24,040
Speaker 1: I explained Collors, But I've heard Director Coates explain this,

883
00:49:24,120 --> 00:49:28,640
Speaker 1: and he's better position than I. So we don't know,

884
00:49:29,719 --> 00:49:35,200
Speaker 1: still don't know. The second term of Obama, especially in

885
00:49:35,239 --> 00:49:38,640
Speaker 1: twenty sixteen, a three hundred nearly a three hundred percent

886
00:49:38,680 --> 00:49:43,000
Speaker 1: increase in on masking. We started covering this in March

887
00:49:43,040 --> 00:49:46,719
Speaker 1: of twenty seventeen, more vindication the mob. They were on

888
00:49:46,800 --> 00:49:51,280
Speaker 1: their to their conspiracy theories. Now we know that between

889
00:49:51,400 --> 00:49:55,319
Speaker 1: election Day and the inauguration of Donald Trump, we know

890
00:49:55,560 --> 00:50:02,480
Speaker 1: Obama administration officials unmasked General Flynn forty eight times, nearly

891
00:50:02,480 --> 00:50:06,720
Speaker 1: two dozen Obama officials. And now we know the people

892
00:50:06,920 --> 00:50:10,680
Speaker 1: that were involved. Why why would a UN ambassador like

893
00:50:10,760 --> 00:50:16,200
Speaker 1: Samantha Powers submit seven unmasking requests? You know I've been

894
00:50:16,239 --> 00:50:19,919
Speaker 1: asking what is Clapper's role? Well, he had three of them,

895
00:50:20,400 --> 00:50:23,200
Speaker 1: John Brennan two of them. Why would the Secretary of

896
00:50:23,200 --> 00:50:27,800
Speaker 1: the Treasury under Obama unmask anybody? Well, he unmasked Flynn,

897
00:50:28,280 --> 00:50:34,600
Speaker 1: another two, SuperPatriot Jim Comey. He unmasked Flynn, Dennis McDonough

898
00:50:34,680 --> 00:50:37,640
Speaker 1: on that infamous day, January fifth, the day that Sally

899
00:50:37,840 --> 00:50:41,439
Speaker 1: h said she was shocked after a meeting with all

900
00:50:41,480 --> 00:50:45,279
Speaker 1: of these key players that Obama told him and Jim

901
00:50:45,320 --> 00:50:48,960
Speaker 1: Comey he knew everything about every detail of the phone

902
00:50:48,960 --> 00:50:52,600
Speaker 1: calls with General Flynn? Who told him? What did he know?

903
00:50:52,719 --> 00:50:55,360
Speaker 1: When did he know it? We also know quid pro

904
00:50:55,520 --> 00:50:59,080
Speaker 1: quo Joe he was present at the meeting, and Joe

905
00:50:59,120 --> 00:51:04,200
Speaker 1: Biden himself directly submitted a request to unmask General Flynn. Now,

906
00:51:04,280 --> 00:51:06,600
Speaker 1: the day before yesterday, he said he knew nothing about

907
00:51:06,640 --> 00:51:10,120
Speaker 1: any investigation into Flynn. He was lying, So what did

908
00:51:10,160 --> 00:51:13,719
Speaker 1: you know about those moves to investigate Michael Flynn? And

909
00:51:13,800 --> 00:51:16,920
Speaker 1: was there anything improper done? I know nothing about those

910
00:51:16,960 --> 00:51:19,440
Speaker 1: moves to investigate Michael Flynn. I do want to press that.

911
00:51:19,640 --> 00:51:21,080
Speaker 1: You say you didn't know anything about it, but you

912
00:51:21,120 --> 00:51:23,840
Speaker 1: were reported to be at a January fift twenty seventeen

913
00:51:23,920 --> 00:51:27,239
Speaker 1: meeting where you and the President were briefed on the

914
00:51:27,280 --> 00:51:30,840
Speaker 1: FBI's planned a question, Oh, Michael, Michael Flynn over those

915
00:51:31,239 --> 00:51:35,160
Speaker 1: conversations he had with the Russian ambassador kissleyac Now, I

916
00:51:35,200 --> 00:51:37,440
Speaker 1: thought you asked me whether or not I had anything

917
00:51:37,440 --> 00:51:41,040
Speaker 1: to do with him being prosecuted. Okay, I'm sorry. I

918
00:51:41,120 --> 00:51:44,600
Speaker 1: was aware that there was that they asked for an investigation,

919
00:51:44,960 --> 00:51:48,400
Speaker 1: but that's all I know about it. That's all I know. Well,

920
00:51:48,560 --> 00:51:53,200
Speaker 1: you called for it, you unmasked him, and you know

921
00:51:53,280 --> 00:51:56,120
Speaker 1: the president is right. This is the biggest political scandal,

922
00:51:56,160 --> 00:51:59,920
Speaker 1: abuse of power, corruption scandal in history. And Joe by

923
00:52:00,080 --> 00:52:02,640
Speaker 1: and as a liar, as many of the others have

924
00:52:02,640 --> 00:52:07,160
Speaker 1: have lied and lied repeatedly. You know, you watch John Brennan.

925
00:52:07,520 --> 00:52:09,840
Speaker 1: None of these people admitted all this. Now we also

926
00:52:09,920 --> 00:52:15,440
Speaker 1: know Adam Schiff said in October twenty seen October twenty seventeen, Oh,

927
00:52:15,440 --> 00:52:19,799
Speaker 1: there's no evidence of any malicious unmasking. Now we get

928
00:52:19,840 --> 00:52:23,360
Speaker 1: to the issue of this judge, and it is shocking

929
00:52:24,040 --> 00:52:26,960
Speaker 1: that when you have now the Department of Justice and

930
00:52:27,080 --> 00:52:31,279
Speaker 1: obviously General Flynn now saying they want to drop the

931
00:52:31,360 --> 00:52:33,839
Speaker 1: case because of all the improprieties that we have now

932
00:52:33,920 --> 00:52:36,560
Speaker 1: learned in this case. What's our what's our goal here?

933
00:52:36,600 --> 00:52:40,440
Speaker 1: To get an admission? What on the logan act? Or

934
00:52:40,480 --> 00:52:43,160
Speaker 1: to get him to lie? Is that the job of

935
00:52:43,200 --> 00:52:45,760
Speaker 1: the FBI to get somebody to lie, create a perjury trap.

936
00:52:45,800 --> 00:52:49,200
Speaker 1: After the deputy FBI director says, you don't need a lawyer,

937
00:52:49,200 --> 00:52:52,680
Speaker 1: and the director of the FBI says, I sent them

938
00:52:52,680 --> 00:52:55,160
Speaker 1: in something I'd never do or get away with in

939
00:52:55,239 --> 00:52:59,000
Speaker 1: any other administration, taken advantage of the chaos on day

940
00:52:59,040 --> 00:53:02,359
Speaker 1: four of the Trumpet administration. Now all of it. Now

941
00:53:02,360 --> 00:53:06,040
Speaker 1: we have the DJ's request to drop all charges. And

942
00:53:06,120 --> 00:53:09,600
Speaker 1: now you have Judge Emmett Sullivan, you know, who has

943
00:53:09,640 --> 00:53:13,640
Speaker 1: shown nothing but rampant bias in this case. Once insinuating

944
00:53:13,960 --> 00:53:17,520
Speaker 1: in the courtroom that General Flynn is guilty of treason,

945
00:53:18,120 --> 00:53:23,840
Speaker 1: accused a thirty three year veteran general of betraying his country,

946
00:53:23,920 --> 00:53:27,200
Speaker 1: that in itself is an unforgivable comment, Well, now we

947
00:53:27,320 --> 00:53:31,200
Speaker 1: see that he is decided to enlist the help of

948
00:53:31,400 --> 00:53:35,840
Speaker 1: a Clinton appointee, who, by the way, himself has already

949
00:53:35,880 --> 00:53:41,560
Speaker 1: weighed in on the case against the attorney general. Well,

950
00:53:41,760 --> 00:53:44,600
Speaker 1: that's not somebody that I think is this retired judge's

951
00:53:44,719 --> 00:53:47,960
Speaker 1: name is John Gleeson. He had already written that he

952
00:53:48,000 --> 00:53:51,560
Speaker 1: doesn't agree with the attorney general. Why wouldn't they vacate

953
00:53:51,600 --> 00:53:54,239
Speaker 1: this except this now that Judge Emmett Sullivan is even

954
00:53:54,280 --> 00:53:58,600
Speaker 1: thinking about contempt charges because they are withdrawing their plea.

955
00:53:58,840 --> 00:54:01,600
Speaker 1: Jay Seculars with US Chief Council, American Center for Law

956
00:54:01,640 --> 00:54:04,879
Speaker 1: and Justice, and also Counsel for the President. Jay, there's

957
00:54:04,880 --> 00:54:09,359
Speaker 1: a lot to unwrap here. Yep, your thoughts you want

958
00:54:09,400 --> 00:54:11,320
Speaker 1: to start, Let me start with one thing that you

959
00:54:11,400 --> 00:54:14,560
Speaker 1: just said, Sean, that I've been practicing law for forty years,

960
00:54:14,920 --> 00:54:19,040
Speaker 1: four decades. I have never seen a situation we're both

961
00:54:19,080 --> 00:54:23,560
Speaker 1: the government and the accused agree that the prosecution should

962
00:54:23,560 --> 00:54:27,320
Speaker 1: not have gone forward and thus the guilty plea should

963
00:54:27,360 --> 00:54:30,799
Speaker 1: be withdrawn and a judge a point what is effectively

964
00:54:30,840 --> 00:54:34,640
Speaker 1: a special counsel. Here we go again to investigate now

965
00:54:34,840 --> 00:54:38,240
Speaker 1: General Flynn, to see if by pleading guilty after being pressured,

966
00:54:38,239 --> 00:54:41,880
Speaker 1: and the normal things that go in with plea negotiations,

967
00:54:42,520 --> 00:54:46,240
Speaker 1: that he committed a perjury against the court and Judge Sullivan.

968
00:54:46,320 --> 00:54:49,319
Speaker 1: I think is just really way out of line here,

969
00:54:49,680 --> 00:54:54,080
Speaker 1: and I've never seen anything like it. It's unprecedented. Well,

970
00:54:54,120 --> 00:54:57,440
Speaker 1: I mean, now justice delayed, justice denied. I mean, in

971
00:54:57,480 --> 00:54:59,719
Speaker 1: the last few weeks, what do we learned that the

972
00:55:00,080 --> 00:55:06,200
Speaker 1: BI ambushed General Flynn? You know, when when when a

973
00:55:06,200 --> 00:55:09,080
Speaker 1: deputy FBI director McCabe says, you don't need a lawyer,

974
00:55:09,080 --> 00:55:12,680
Speaker 1: when he did. When you got the FBI director admitting that,

975
00:55:12,960 --> 00:55:16,680
Speaker 1: in fact, he sent his guys in and did something

976
00:55:16,680 --> 00:55:20,440
Speaker 1: he'd never do under normal circumstances, that sounds like a setup.

977
00:55:20,560 --> 00:55:23,720
Speaker 1: They didn't think he was lying. Jay. The guy goes bankrupt,

978
00:55:23,800 --> 00:55:26,360
Speaker 1: the guy loses his home, and now we know the

979
00:55:26,440 --> 00:55:29,319
Speaker 1: prosecutorial abuse that took places. They threatened to put his

980
00:55:29,400 --> 00:55:31,560
Speaker 1: kid in jail. Now, Jay, I know you as a

981
00:55:31,600 --> 00:55:34,759
Speaker 1: loving father. If you're told to either sign this or

982
00:55:34,800 --> 00:55:36,880
Speaker 1: I'm putting your kids in jail, I think you're going

983
00:55:36,920 --> 00:55:40,640
Speaker 1: to sign it exactly. And this is you know, unfortunately

984
00:55:40,760 --> 00:55:42,920
Speaker 1: or fortunately, however side of the equation you come on.

985
00:55:43,160 --> 00:55:48,880
Speaker 1: This is that stuff is unfortunately typical negotiations or plea

986
00:55:48,960 --> 00:55:52,360
Speaker 1: arrangements where they're basically use a threat. Sometimes it's a spouse,

987
00:55:52,400 --> 00:55:55,880
Speaker 1: sometimes it's the kids. Now here's the thing. And again,

988
00:55:56,760 --> 00:55:59,680
Speaker 1: the unprecedented nature of this is you've got the government

989
00:55:59,719 --> 00:56:02,560
Speaker 1: and the accused of Green that this should go. And

990
00:56:02,680 --> 00:56:06,000
Speaker 1: this judge is now the roadblock for justice. And he

991
00:56:06,040 --> 00:56:09,920
Speaker 1: says he has this inherent authority to appoint a judge

992
00:56:09,920 --> 00:56:13,240
Speaker 1: who's already appined on the situation, who's a retired judge,

993
00:56:13,239 --> 00:56:16,839
Speaker 1: and he's already appined on the situation, and called into

994
00:56:16,960 --> 00:56:21,880
Speaker 1: question Attorneys General Barr's motives. It just is beyond the

995
00:56:21,920 --> 00:56:27,200
Speaker 1: pale of judicial responsibility and completely flaunce the constitution of

996
00:56:27,200 --> 00:56:30,960
Speaker 1: the United States. I've never I'm never speechless, but if

997
00:56:30,960 --> 00:56:32,640
Speaker 1: I ever was going to be, this gets pretty close

998
00:56:32,680 --> 00:56:36,719
Speaker 1: to it. General Flynn was not charged with perjury j Sekulo.

999
00:56:36,840 --> 00:56:41,160
Speaker 1: That would require a materially false statement made under oath

1000
00:56:41,239 --> 00:56:43,840
Speaker 1: with the intent to deceive. Now, we did get a

1001
00:56:43,920 --> 00:56:46,160
Speaker 1: glimpse in the materials that have been laid out of

1002
00:56:46,200 --> 00:56:49,359
Speaker 1: the original three zero two, and what we learned is

1003
00:56:49,360 --> 00:56:53,040
Speaker 1: is that when the question specifically was asked about the

1004
00:56:53,120 --> 00:56:58,040
Speaker 1: phone call in question with this Russian KISLEYAC and General Flynn,

1005
00:56:58,239 --> 00:57:01,399
Speaker 1: the call in question that when Struck and this other

1006
00:57:01,440 --> 00:57:04,400
Speaker 1: agent interviewed, General Flinty said, I remember the call. I

1007
00:57:04,760 --> 00:57:08,040
Speaker 1: I don't remember that specifically. Now that is not lying.

1008
00:57:08,719 --> 00:57:10,960
Speaker 1: That can't be in any way defined as lying. They

1009
00:57:10,960 --> 00:57:14,680
Speaker 1: didn't even think he was lying on that, correct, So

1010
00:57:14,719 --> 00:57:17,040
Speaker 1: I mean, you know, Sean, go back to this whole

1011
00:57:17,080 --> 00:57:19,160
Speaker 1: idea of how this started. Remember it was the case

1012
00:57:19,240 --> 00:57:21,760
Speaker 1: was closed. The field agents, which are the ones that

1013
00:57:21,800 --> 00:57:24,000
Speaker 1: do the day to day work on the investigation, said

1014
00:57:24,000 --> 00:57:26,520
Speaker 1: there is nothing there. There is no we can find

1015
00:57:26,520 --> 00:57:29,480
Speaker 1: no material mis statements, we can't find any violation the law.

1016
00:57:29,680 --> 00:57:31,680
Speaker 1: We should close it. Then Peter Struck grabs it right

1017
00:57:31,720 --> 00:57:34,280
Speaker 1: before the closing memos going to be delivered and says,

1018
00:57:34,280 --> 00:57:39,479
Speaker 1: not so quick, we're doing Operation Crossfire rasor. Then Jim

1019
00:57:39,520 --> 00:57:42,280
Speaker 1: call me sneaks in two FBI agents and says, oh,

1020
00:57:42,280 --> 00:57:44,760
Speaker 1: I'll get away with this. I normally would not, but

1021
00:57:44,800 --> 00:57:46,320
Speaker 1: you know there was a White House counsel at the

1022
00:57:46,320 --> 00:57:47,920
Speaker 1: White House, not like he couldn't have made the call.

1023
00:57:48,040 --> 00:57:50,080
Speaker 1: Jim Collmey. I think his day will come. I mean,

1024
00:57:50,200 --> 00:57:52,000
Speaker 1: whether it'll be indicted or I have no idea, but

1025
00:57:52,120 --> 00:57:54,240
Speaker 1: his credibility has now gone to zero, which is what

1026
00:57:54,280 --> 00:57:55,960
Speaker 1: it should be. And when you ever hear him talk

1027
00:57:56,000 --> 00:57:59,400
Speaker 1: about this stuff that lapse. They ruined a man's life,

1028
00:57:59,560 --> 00:58:04,600
Speaker 1: and he his response is to laugh. McCabe light under oath,

1029
00:58:05,600 --> 00:58:09,840
Speaker 1: he had a referral by the IG. Same with Jim Comey.

1030
00:58:10,120 --> 00:58:13,520
Speaker 1: Now we're also finding out we know that both House

1031
00:58:13,600 --> 00:58:18,320
Speaker 1: Intel Chair Trey Gaudy, we now got to read the transcripts,

1032
00:58:18,320 --> 00:58:20,920
Speaker 1: and Devin Nunez, who didn't lie to the American people

1033
00:58:20,960 --> 00:58:27,760
Speaker 1: like Adam Shift did. Now. Nunes said yesterday on lou

1034
00:58:27,880 --> 00:58:31,440
Speaker 1: Dobbs's show, you're only seeing the folks that unmasked General Flynn,

1035
00:58:31,440 --> 00:58:33,280
Speaker 1: by the way, in only a short period of time.

1036
00:58:33,720 --> 00:58:35,720
Speaker 1: He said, the reality is there were a whole lot

1037
00:58:35,760 --> 00:58:38,840
Speaker 1: of other Americans on the Trump transition team that were

1038
00:58:38,880 --> 00:58:41,360
Speaker 1: a masked and those that need to be made public. Also,

1039
00:58:41,960 --> 00:58:45,080
Speaker 1: Trey Goudy said, it's not just Michael Flynn. There was

1040
00:58:45,120 --> 00:58:48,720
Speaker 1: an unmasking request made the morning of the inauguration quote

1041
00:58:48,880 --> 00:58:52,200
Speaker 1: President Trump's family members names were a masked. Now at

1042
00:58:52,240 --> 00:58:56,320
Speaker 1: different times during this whole investigation that we did on

1043
00:58:56,400 --> 00:58:59,960
Speaker 1: radio and tvj I was told guys like John Salom,

1044
00:59:00,560 --> 00:59:04,000
Speaker 1: Sarah Carter, Sean Hannity might have been unmasked. I don't

1045
00:59:04,000 --> 00:59:05,800
Speaker 1: know if any of that's true, but I was told

1046
00:59:05,840 --> 00:59:08,120
Speaker 1: that numerous times. I didn't think there'd be three O

1047
00:59:08,240 --> 00:59:10,320
Speaker 1: two's with my name on I'm nor did I think

1048
00:59:10,320 --> 00:59:13,640
Speaker 1: my text messages that were private would ever be released either.

1049
00:59:13,760 --> 00:59:17,400
Speaker 1: Jay Well, I mean, look, the invasions of privacy here

1050
00:59:17,400 --> 00:59:21,400
Speaker 1: are now legendary. You mentioned the three O two's. I mean, look,

1051
00:59:21,600 --> 00:59:24,520
Speaker 1: the fact is that this entire investigation, from the moment

1052
00:59:24,520 --> 00:59:26,280
Speaker 1: it started till where we are today, has been a

1053
00:59:26,320 --> 00:59:29,120
Speaker 1: complete fraud on the American people. But this happened under

1054
00:59:29,120 --> 00:59:32,040
Speaker 1: Bob Mueller's watch. He should be ashamed of himself for

1055
00:59:32,160 --> 00:59:35,200
Speaker 1: what allowing these people to do what they did here. Now,

1056
00:59:35,280 --> 00:59:37,720
Speaker 1: I do have confidence in Bill barn I have confidence

1057
00:59:37,760 --> 00:59:39,560
Speaker 1: in John Durham that they're going to get They are

1058
00:59:39,600 --> 00:59:41,320
Speaker 1: getting to the bottom of this and getting to the

1059
00:59:41,320 --> 00:59:43,920
Speaker 1: bottom of this quickly. And I'll take it a step further.

1060
00:59:44,080 --> 00:59:47,400
Speaker 1: I think, Sean that when you talk about unmasking, and

1061
00:59:47,440 --> 00:59:49,680
Speaker 1: you talk about the short time frame, this is days

1062
00:59:49,720 --> 00:59:52,680
Speaker 1: before the new administration was going in and one unmasking

1063
00:59:52,720 --> 00:59:55,960
Speaker 1: the day the morning of These people were out to

1064
00:59:56,120 --> 00:59:59,640
Speaker 1: destroy this president before he took put his hand on

1065
00:59:59,640 --> 01:00:01,880
Speaker 1: the Bible and took the oath of office. Who's gonna

1066
01:00:01,920 --> 01:00:05,600
Speaker 1: be charged with a crime? Because if twenty nine guys

1067
01:00:05,640 --> 01:00:09,400
Speaker 1: in tactical gear and frogmen and CNN cameras are gonna

1068
01:00:09,520 --> 01:00:11,960
Speaker 1: have a pre dawn raid on roger Stone and then

1069
01:00:11,960 --> 01:00:14,640
Speaker 1: the jury, fourth person that already hates roger Stone is

1070
01:00:14,640 --> 01:00:18,160
Speaker 1: gonna lead that jury, and Manafort the pre dawn raid,

1071
01:00:18,320 --> 01:00:22,360
Speaker 1: and Papadopoulos and now General Flynn. How come these other

1072
01:00:22,360 --> 01:00:24,800
Speaker 1: guys never get arrested for the same things that they

1073
01:00:24,800 --> 01:00:27,600
Speaker 1: that we have report after report after report that they

1074
01:00:27,600 --> 01:00:32,040
Speaker 1: committed the same types of crimes. Well, you're not John Durham,

1075
01:00:32,080 --> 01:00:34,160
Speaker 1: and I'm not John Durham, and you're not and I'm

1076
01:00:34,200 --> 01:00:37,120
Speaker 1: not too far And they have a job to do

1077
01:00:37,160 --> 01:00:40,040
Speaker 1: when they're doing it, and unlike the way some of

1078
01:00:40,040 --> 01:00:43,840
Speaker 1: these things went down, I'm hopeful that they will follow.

1079
01:00:43,880 --> 01:00:45,520
Speaker 1: I know they will. I'm not hopeful, I know they will.

1080
01:00:45,680 --> 01:00:48,240
Speaker 1: They're gonna follow the evidence, follow where it leads, and

1081
01:00:48,280 --> 01:00:51,040
Speaker 1: if there's violations of law, people will be brought to justice.

1082
01:00:51,360 --> 01:00:53,680
Speaker 1: And I believe that is going to happen. And I'm

1083
01:00:53,880 --> 01:00:57,800
Speaker 1: convinced that the first move here was this to undo

1084
01:00:57,840 --> 01:01:02,640
Speaker 1: this injustice against General in. I think it's a big

1085
01:01:02,680 --> 01:01:05,520
Speaker 1: part of it. But if they were surveilling and unmasking

1086
01:01:05,760 --> 01:01:10,520
Speaker 1: the Trump family and people as other people associated with Trump,

1087
01:01:11,440 --> 01:01:13,920
Speaker 1: it sounds to me I would use the word soft coup.

1088
01:01:14,400 --> 01:01:18,040
Speaker 1: Is that hyperbole or closer to reality? No, I think.

1089
01:01:18,080 --> 01:01:19,960
Speaker 1: I mean I've said the phrase soft coup. This was

1090
01:01:20,360 --> 01:01:22,480
Speaker 1: people that did not want the president to be an office,

1091
01:01:22,480 --> 01:01:24,480
Speaker 1: would been trying to get him removed from office before

1092
01:01:24,520 --> 01:01:27,600
Speaker 1: it started, and it culminated in the Mudel report, which

1093
01:01:27,640 --> 01:01:29,800
Speaker 1: got them nothing. And then what happens, Well, then we

1094
01:01:29,880 --> 01:01:33,520
Speaker 1: have the Ukraine impeachment, which of course the president gets

1095
01:01:33,520 --> 01:01:35,960
Speaker 1: acquitted on both charges. So you know, what is it

1096
01:01:36,000 --> 01:01:37,280
Speaker 1: going to be next? And then it's you know, we're

1097
01:01:37,320 --> 01:01:39,640
Speaker 1: going to clear general plan or the judge, the federal

1098
01:01:39,720 --> 01:01:41,280
Speaker 1: judge is not going to allow him to be cleared.

1099
01:01:42,440 --> 01:01:46,480
Speaker 1: I mean, this is how bizarre this has become. People

1100
01:01:46,520 --> 01:01:48,880
Speaker 1: need to be held accountable or look, I think the

1101
01:01:48,920 --> 01:01:50,720
Speaker 1: good guys win in the end and justice will be

1102
01:01:50,720 --> 01:01:53,840
Speaker 1: served patients, and who wins in one hundred and seventy

1103
01:01:53,840 --> 01:01:57,040
Speaker 1: three days. I hope the American people to have a

1104
01:01:57,080 --> 01:02:01,280
Speaker 1: full picture. I think, Look, I think that the president

1105
01:02:01,760 --> 01:02:04,800
Speaker 1: has This is my view showing I'm not a political

1106
01:02:05,360 --> 01:02:10,160
Speaker 1: expert on to any stretch of the imagination, but there's

1107
01:02:10,200 --> 01:02:12,200
Speaker 1: a lot of explaining that would have to be done

1108
01:02:12,280 --> 01:02:15,200
Speaker 1: by Joe bind both on a policy perspective and also

1109
01:02:15,240 --> 01:02:17,600
Speaker 1: what was he doing unmasking play? Why was Samantha Powers

1110
01:02:17,640 --> 01:02:20,320
Speaker 1: unmasking play? Due by the way you win a vendor?

1111
01:02:21,560 --> 01:02:25,080
Speaker 1: Great questions, All right, Jase Sekulo, thank you. Stay right

1112
01:02:25,120 --> 01:02:29,160
Speaker 1: here for our final news round up and information overload. Shana.

1113
01:02:29,160 --> 01:02:32,200
Speaker 1: I am very confident that the Chinese Communist Party will

1114
01:02:32,240 --> 01:02:34,720
Speaker 1: pay a price for what they did here, certainly from

1115
01:02:34,720 --> 01:02:36,960
Speaker 1: the United States. I don't know exactly what form that'll take.

1116
01:02:37,040 --> 01:02:39,880
Speaker 1: Our focus today isn't on that. It's on making sure

1117
01:02:39,880 --> 01:02:42,400
Speaker 1: we keep Americans safe, take down the health risk, keep

1118
01:02:42,440 --> 01:02:45,880
Speaker 1: people healthy as we can, and get this economy going back.

1119
01:02:46,360 --> 01:02:48,400
Speaker 1: But I'm very confident. I talked to business people all

1120
01:02:48,400 --> 01:02:51,000
Speaker 1: around the country. I talk to ordinary citizens, people who

1121
01:02:51,000 --> 01:02:52,960
Speaker 1: have put their lives at risk over the last weeks.

1122
01:02:53,280 --> 01:02:55,640
Speaker 1: They know that this is a result of this virus

1123
01:02:55,680 --> 01:02:58,240
Speaker 1: that originated in Wuhan, China, and they know that the

1124
01:02:58,320 --> 01:03:01,280
Speaker 1: Chinese government didn't do the things needed to do. There

1125
01:03:01,280 --> 01:03:03,520
Speaker 1: will be a cost associated with that. We need to

1126
01:03:03,520 --> 01:03:05,560
Speaker 1: focus on the here and now, and there'll be a

1127
01:03:05,600 --> 01:03:07,040
Speaker 1: time to make sure that we get this right, to

1128
01:03:07,040 --> 01:03:09,840
Speaker 1: make sure that we're not dependent on China for pharmaceutical

1129
01:03:09,880 --> 01:03:11,800
Speaker 1: goods and all the things that we've seen that we

1130
01:03:11,880 --> 01:03:14,520
Speaker 1: just didn't have right. And the President Trump had identified

1131
01:03:14,560 --> 01:03:16,680
Speaker 1: early on as things we needed to fix in the

1132
01:03:16,760 --> 01:03:19,840
Speaker 1: relationship between the United States and Los Angeles just said

1133
01:03:19,840 --> 01:03:24,600
Speaker 1: they may actually extend the shutdown well throughout the submers

1134
01:03:24,880 --> 01:03:27,000
Speaker 1: fighting back out. He's doing the right thing. I'm all

1135
01:03:27,040 --> 01:03:30,440
Speaker 1: for him, Los Angeles. I think they're doing that for

1136
01:03:30,520 --> 01:03:35,840
Speaker 1: political reasons. Look, the less successful we are an opening,

1137
01:03:36,520 --> 01:03:40,040
Speaker 1: the better they are. Probably maybe for an election, but

1138
01:03:40,080 --> 01:03:43,000
Speaker 1: I'm letting people know in many cases they're doing it

1139
01:03:43,080 --> 01:03:45,760
Speaker 1: just for political purpose. So you think that they would

1140
01:03:45,840 --> 01:03:50,560
Speaker 1: rather see a recession, a terrible economy, joblessness than have

1141
01:03:50,680 --> 01:03:53,680
Speaker 1: you get another time. They would rather see our country fail.

1142
01:03:54,480 --> 01:03:57,400
Speaker 1: They would rather see our country fail, and you know

1143
01:03:57,440 --> 01:04:00,480
Speaker 1: what that means, because part of failure is death. They

1144
01:04:00,480 --> 01:04:04,160
Speaker 1: would rather see that than have me get elected. I've

1145
01:04:04,240 --> 01:04:06,920
Speaker 1: driven them crazy. I don't know what it is. There's

1146
01:04:07,040 --> 01:04:10,800
Speaker 1: truth Donald Trumps lives in their minds. News round Up

1147
01:04:10,840 --> 01:04:13,640
Speaker 1: Information Overload Hour eight hundred and nine four one Sean,

1148
01:04:13,720 --> 01:04:15,640
Speaker 1: you want to be a part of the program. You

1149
01:04:15,680 --> 01:04:18,440
Speaker 1: know when you look at now from the minute Donald

1150
01:04:18,440 --> 01:04:21,960
Speaker 1: Trump comes down the escalator with Milania Trump, and you

1151
01:04:22,080 --> 01:04:26,400
Speaker 1: look on look at the rage, the hate, the never

1152
01:04:26,560 --> 01:04:31,800
Speaker 1: ending trump psychotic derangement syndrome. It's real. You just think

1153
01:04:31,840 --> 01:04:35,800
Speaker 1: about the breathtaking hypocrisy. You have ninety nine percent state

1154
01:04:35,880 --> 01:04:42,480
Speaker 1: run medium mob ABCNBCCBS, fake News, CNN, Conspiracy TV, Area

1155
01:04:42,640 --> 01:04:48,080
Speaker 1: fifty one, ROSBO, Rachel Maddow MSDNC. They're all state run television.

1156
01:04:48,360 --> 01:04:51,600
Speaker 1: They're all propaganda networks. It's every second, minute, hour of

1157
01:04:51,640 --> 01:04:54,400
Speaker 1: every day. You got the New York Toilet Paper, Times,

1158
01:04:54,680 --> 01:04:57,880
Speaker 1: you got the Washington Post. They hate Donald Trump. There's

1159
01:04:57,920 --> 01:05:01,040
Speaker 1: nothing Donald Trump will ever get credit poor. He sets

1160
01:05:01,040 --> 01:05:04,840
Speaker 1: the best economy up record low unemployment for every demographic

1161
01:05:04,920 --> 01:05:07,440
Speaker 1: in the country, kept every promise he made his president.

1162
01:05:07,840 --> 01:05:10,600
Speaker 1: He is in the middle of impeachment, but yet he

1163
01:05:10,760 --> 01:05:13,880
Speaker 1: is putting in place a travel band, and then he's

1164
01:05:13,880 --> 01:05:16,160
Speaker 1: following it up with a quarantine. Then he's following it

1165
01:05:16,240 --> 01:05:19,440
Speaker 1: up with subsequent travel bands. Then he bails out in

1166
01:05:19,480 --> 01:05:22,280
Speaker 1: New York in a massive way. And they're too stupid

1167
01:05:22,280 --> 01:05:24,240
Speaker 1: to even use all of his help. The beds of

1168
01:05:24,280 --> 01:05:28,200
Speaker 1: the Javit Center covert converted personnel included. Same with the

1169
01:05:28,680 --> 01:05:32,600
Speaker 1: hospital ship, Navy hospital ship, the comfort But think about this.

1170
01:05:32,680 --> 01:05:37,920
Speaker 1: They only care about Russia, but they ignore the Russian

1171
01:05:37,960 --> 01:05:43,720
Speaker 1: disinformation dossier of Hillary Clinton. They care about obstruction of justice,

1172
01:05:43,720 --> 01:05:47,080
Speaker 1: but not Hillary's emails. They care They don't care at

1173
01:05:47,120 --> 01:05:51,360
Speaker 1: all about the rule of law and due process and

1174
01:05:51,560 --> 01:05:55,800
Speaker 1: the fact that an unverifiable bull dossier that they were

1175
01:05:55,840 --> 01:05:58,960
Speaker 1: warned not to use was used to get a warrant

1176
01:05:58,960 --> 01:06:02,080
Speaker 1: to deny an American civil rights of all liberties. They

1177
01:06:02,080 --> 01:06:04,280
Speaker 1: didn't care about that. They didn't care that Donald Trump

1178
01:06:04,280 --> 01:06:08,520
Speaker 1: for investigations later No Trump Russia illusion, but Russian disinformation

1179
01:06:08,640 --> 01:06:11,240
Speaker 1: Hillary pays for it. They never talk about it. They

1180
01:06:11,320 --> 01:06:13,560
Speaker 1: care about a quid pro quo, but not with Joe

1181
01:06:13,600 --> 01:06:17,640
Speaker 1: and zero experience Hunter. They're all I believers. But when

1182
01:06:17,720 --> 01:06:22,200
Speaker 1: somebody far more credible than the Kavanar accuser comes out

1183
01:06:22,240 --> 01:06:25,960
Speaker 1: that has witnesses, corroboration and a haunting call from her

1184
01:06:26,000 --> 01:06:29,680
Speaker 1: mother from nineteen ninety three on Larry King describing what happened,

1185
01:06:29,840 --> 01:06:34,000
Speaker 1: they ignore that too. They take on breathtaking hypocrisy. They

1186
01:06:34,040 --> 01:06:37,240
Speaker 1: couldn't be more wrong more often, but there's an obsession.

1187
01:06:37,240 --> 01:06:40,920
Speaker 1: They will ignore that. For a process crime, twenty nine

1188
01:06:40,960 --> 01:06:43,880
Speaker 1: guys and tactical gears show up at Roger Stone's house,

1189
01:06:44,440 --> 01:06:47,160
Speaker 1: same thing with Manifort's house. In Stone's case, they even

1190
01:06:47,160 --> 01:06:50,960
Speaker 1: bring in CNN cameras for a process crime, but they'll

1191
01:06:50,960 --> 01:06:54,120
Speaker 1: ignore that. Guys like Comey and McCabe had referrals for

1192
01:06:54,200 --> 01:06:57,439
Speaker 1: the same things. They don't even talk about it. Ever.

1193
01:06:58,080 --> 01:07:00,520
Speaker 1: Then we have a jury four person that we know

1194
01:07:00,720 --> 01:07:05,320
Speaker 1: now was prejudiced publicly against Rogerstone and was the lead

1195
01:07:05,400 --> 01:07:07,760
Speaker 1: juror in that case. But we don't get it. That's

1196
01:07:07,800 --> 01:07:10,200
Speaker 1: a fair and impartial jury. He doesn't get another trial.

1197
01:07:10,760 --> 01:07:13,040
Speaker 1: Judge said no, Then you have the case what we

1198
01:07:13,160 --> 01:07:16,200
Speaker 1: learned with General Flynn. Look what they did to General Flynn. Well,

1199
01:07:16,240 --> 01:07:18,480
Speaker 1: what's our goal here to get an admission or to

1200
01:07:18,800 --> 01:07:21,280
Speaker 1: get him to lie so we can prosecute him or

1201
01:07:21,840 --> 01:07:23,720
Speaker 1: is that what the FBI is supposed to do and

1202
01:07:23,760 --> 01:07:26,800
Speaker 1: the media ignores it all. Here you have a judge

1203
01:07:26,800 --> 01:07:30,200
Speaker 1: in the case of General Flynn, same thing anyway. Joining us,

1204
01:07:30,240 --> 01:07:33,440
Speaker 1: the Chairman of the House Freedom Caucus, Andy Biggs, Representative

1205
01:07:33,520 --> 01:07:37,520
Speaker 1: Jim Banks, House Armed Services Committee. Let's start with General

1206
01:07:37,560 --> 01:07:41,640
Speaker 1: Flynn and Judge Sullivan, and more importantly, what we're learning

1207
01:07:41,680 --> 01:07:47,120
Speaker 1: about this Clinton appointee judge which shocks my conscience and

1208
01:07:47,200 --> 01:07:50,680
Speaker 1: saw the retired judge, you know, literally John Gleeson had

1209
01:07:50,720 --> 01:07:55,280
Speaker 1: written a pace a piece slamming the Justice Department already.

1210
01:07:55,320 --> 01:07:59,680
Speaker 1: So it's a foregone conclusion where the Emmett Sullivan appointed

1211
01:08:00,400 --> 01:08:04,560
Speaker 1: judge is going with this case. Why is this judge

1212
01:08:04,640 --> 01:08:08,040
Speaker 1: denying General Flynn when both sides want to drop the

1213
01:08:08,080 --> 01:08:10,320
Speaker 1: case after what we've learned, Why are they denying that,

1214
01:08:10,360 --> 01:08:16,840
Speaker 1: Andy Biggs, Well, it's obviously for political reasons because in reality, Sean,

1215
01:08:17,800 --> 01:08:21,080
Speaker 1: there is no they wanted to get amicas curia. You

1216
01:08:21,200 --> 01:08:24,360
Speaker 1: can't get amicas curi that's ridiculous. The Supreme Court actually

1217
01:08:24,439 --> 01:08:27,439
Speaker 1: just ruled recently you can't shape a case with the

1218
01:08:27,520 --> 01:08:31,160
Speaker 1: use of amikas. He has abused his power. If he

1219
01:08:31,200 --> 01:08:33,719
Speaker 1: wants to prosecute the case, he should take off his rope.

1220
01:08:33,720 --> 01:08:35,400
Speaker 1: He should go back and see if you get into

1221
01:08:35,400 --> 01:08:37,719
Speaker 1: the US Attorney's office, and even then I wouldn't trust

1222
01:08:37,800 --> 01:08:40,760
Speaker 1: him to be there. And this, in my opinion, is

1223
01:08:40,840 --> 01:08:46,000
Speaker 1: all politically motivated. And actually my staff is looking into

1224
01:08:46,080 --> 01:08:49,599
Speaker 1: remedies that Congress might have against some judge, a federal

1225
01:08:49,680 --> 01:08:52,719
Speaker 1: judge who has abused his power and his oath of office,

1226
01:08:53,120 --> 01:08:56,160
Speaker 1: and you're to take Congressman Banks Well, I couldn't agree

1227
01:08:56,200 --> 01:08:59,880
Speaker 1: more with my friend Andy Biggs, sean general one of

1228
01:09:00,160 --> 01:09:03,600
Speaker 1: a real American hero as soon as it's worn the

1229
01:09:03,680 --> 01:09:06,920
Speaker 1: uniform myself. They don't get better than him. And I

1230
01:09:07,000 --> 01:09:09,559
Speaker 1: gotta tell you my phone rang off the hook yesterday.

1231
01:09:09,600 --> 01:09:13,320
Speaker 1: I guess so many text messages from ticked off hoosiers.

1232
01:09:13,320 --> 01:09:16,120
Speaker 1: I couldn't believe that a judge would abuse his power

1233
01:09:16,160 --> 01:09:18,080
Speaker 1: in the way that he has. And I look forward

1234
01:09:18,080 --> 01:09:20,360
Speaker 1: to Andy, to working with you to hold this judge

1235
01:09:20,360 --> 01:09:24,000
Speaker 1: accountable for an abuse of power that's so so blatant

1236
01:09:24,560 --> 01:09:27,200
Speaker 1: in broad daylight. We can't let this judge off the

1237
01:09:27,240 --> 01:09:29,439
Speaker 1: hook for acting in the way that he is. What

1238
01:09:29,600 --> 01:09:33,120
Speaker 1: is what choices do you have that would be available

1239
01:09:33,160 --> 01:09:35,960
Speaker 1: to you well, Sean, and I look forward to working

1240
01:09:35,960 --> 01:09:39,720
Speaker 1: with you, Jim on The number one thing is the

1241
01:09:39,840 --> 01:09:42,920
Speaker 1: nuclear option, of course, and that is drafting articles of impeachment,

1242
01:09:43,280 --> 01:09:46,679
Speaker 1: and that's where we're looking into very closely. Of course,

1243
01:09:46,680 --> 01:09:50,040
Speaker 1: you could censure him, but the reality is, if you've

1244
01:09:50,040 --> 01:09:51,759
Speaker 1: got an oath of office, if you have a judge

1245
01:09:51,800 --> 01:09:54,720
Speaker 1: doing something that in all the cases I ever worked on,

1246
01:09:55,000 --> 01:09:58,400
Speaker 1: all the cases I ever tried, I never saw a

1247
01:09:58,560 --> 01:10:03,519
Speaker 1: judge tell the prosecutor, no, you can't dismiss this case.

1248
01:10:03,600 --> 01:10:06,519
Speaker 1: They might question it, but they would dismiss the case

1249
01:10:06,560 --> 01:10:09,880
Speaker 1: if that was on the prosecutor's motion. This is actually

1250
01:10:10,280 --> 01:10:14,679
Speaker 1: a conduct that is highly unusual, so unusual I never

1251
01:10:14,720 --> 01:10:16,720
Speaker 1: saw it in the whole time I practiced. And so

1252
01:10:17,160 --> 01:10:21,040
Speaker 1: I think we can look at drafting articles of impeachment

1253
01:10:21,040 --> 01:10:23,640
Speaker 1: for violating your oath of office. I'll tell you the

1254
01:10:23,720 --> 01:10:26,240
Speaker 1: sick thing in all of this, he's like, you know,

1255
01:10:26,320 --> 01:10:30,760
Speaker 1: now we have a blatant disregard. And by the way,

1256
01:10:30,760 --> 01:10:34,560
Speaker 1: he's also disregarding precedents as it relates to this particular,

1257
01:10:34,760 --> 01:10:37,760
Speaker 1: very specific issue with the higher courts. You know, we

1258
01:10:37,880 --> 01:10:40,360
Speaker 1: know where John Gleeson stands because he wrote this piece

1259
01:10:40,400 --> 01:10:43,320
Speaker 1: in the Washington Post. So that's a foregone conclusion. So

1260
01:10:43,520 --> 01:10:46,040
Speaker 1: the only reason he's doing this is because he thinks

1261
01:10:46,080 --> 01:10:49,240
Speaker 1: that he knows better. But what part of him not understanding?

1262
01:10:49,320 --> 01:10:53,640
Speaker 1: Number One, it wasn't a perjury charge, General Flynn that

1263
01:10:53,680 --> 01:10:57,000
Speaker 1: would require a materially false statement made under oath with

1264
01:10:57,120 --> 01:10:59,840
Speaker 1: the intent to deceive they didn't think he was deceiving anybody.

1265
01:11:00,360 --> 01:11:03,080
Speaker 1: And this idea of holding somebody in contempt for withdrawing

1266
01:11:03,120 --> 01:11:07,200
Speaker 1: a plea, well, what part of him having gone bankrupt,

1267
01:11:07,439 --> 01:11:11,040
Speaker 1: lost his house, them threatening to put his son in

1268
01:11:11,160 --> 01:11:14,960
Speaker 1: jail or sign the paper? Does this judge not understand?

1269
01:11:15,320 --> 01:11:18,080
Speaker 1: And by the way, this whole practice of well if

1270
01:11:18,080 --> 01:11:20,240
Speaker 1: you tell us what we want to hear, or you

1271
01:11:20,320 --> 01:11:23,160
Speaker 1: sign what we want you to sign, then we're going

1272
01:11:23,200 --> 01:11:25,519
Speaker 1: to give you this or that that has to stop

1273
01:11:25,520 --> 01:11:28,559
Speaker 1: in all of these proceedings because that lends itself to

1274
01:11:28,600 --> 01:11:32,360
Speaker 1: this type of prosecutorial abuse of power, Andy Biggs. And

1275
01:11:32,360 --> 01:11:33,960
Speaker 1: they do it all the time. Well, if you tell

1276
01:11:34,000 --> 01:11:36,240
Speaker 1: us this about this person, will give you a lighter sentence.

1277
01:11:36,479 --> 01:11:39,800
Speaker 1: I get out of jail free car in many instances, No, Seane,

1278
01:11:39,800 --> 01:11:42,400
Speaker 1: you're exactly right. I mean you see this over and

1279
01:11:42,439 --> 01:11:45,160
Speaker 1: over again, and they use this as leverage. And what

1280
01:11:45,200 --> 01:11:47,759
Speaker 1: it is is it's kind of a Soviet style tactic,

1281
01:11:47,800 --> 01:11:50,599
Speaker 1: to be honest with you, but it happens frequently, and

1282
01:11:50,720 --> 01:11:56,040
Speaker 1: it's used to leverage to get additional evidence on somebody else,

1283
01:11:56,280 --> 01:11:59,120
Speaker 1: or in this case, to get a confession. That's what

1284
01:11:59,120 --> 01:12:00,719
Speaker 1: they wanted. They wanted to him to come and stand

1285
01:12:00,800 --> 01:12:04,280
Speaker 1: for the court and give a factual basis and that

1286
01:12:04,360 --> 01:12:07,040
Speaker 1: he did something wrong and he was kind of stuck

1287
01:12:07,040 --> 01:12:08,920
Speaker 1: between a rock and heart place. And I blame a

1288
01:12:08,960 --> 01:12:12,679
Speaker 1: lot of that on the FBI, for sure, but also

1289
01:12:12,720 --> 01:12:15,200
Speaker 1: on his previous attorneys. I mean, I really want to

1290
01:12:15,200 --> 01:12:18,200
Speaker 1: look at them a little bit and see what happened there,

1291
01:12:18,240 --> 01:12:22,400
Speaker 1: because I'm not sure he was represented adequately, that's for sure. Now,

1292
01:12:22,479 --> 01:12:26,240
Speaker 1: both of you, Connressman Banks, Congressman bigs are involved in

1293
01:12:26,360 --> 01:12:31,080
Speaker 1: different bills to block investments in our adversaries act as yours.

1294
01:12:32,720 --> 01:12:37,280
Speaker 1: We know that. Congressman Banks, tell us what that is about.

1295
01:12:37,360 --> 01:12:41,240
Speaker 1: In other words, people investing or you know, state pensions

1296
01:12:41,280 --> 01:12:45,360
Speaker 1: for example, investing heavily in Chinese companies affiliated with the

1297
01:12:45,439 --> 01:12:48,759
Speaker 1: Chinese military and even some of the human rights abuses.

1298
01:12:48,800 --> 01:12:51,200
Speaker 1: Why has that been going on? It's unbelievable to me, Sean,

1299
01:12:51,240 --> 01:12:54,120
Speaker 1: I mean, as as somebody's been following this and learning

1300
01:12:54,160 --> 01:12:56,960
Speaker 1: so much more to find out that the Federal pension

1301
01:12:57,600 --> 01:13:01,280
Speaker 1: Thrift Savings Plan was about to invest in and China's

1302
01:13:02,000 --> 01:13:06,360
Speaker 1: military ship building fighter jets, a company called Hike Vision

1303
01:13:06,479 --> 01:13:10,400
Speaker 1: that produces the surveillance equipment they used to persecute the

1304
01:13:10,439 --> 01:13:13,920
Speaker 1: weaker Muslims in China, and we were about to allow

1305
01:13:13,960 --> 01:13:17,000
Speaker 1: our federal pension to invest in the military of an

1306
01:13:17,000 --> 01:13:19,600
Speaker 1: adversary all the while we're building up our own military

1307
01:13:20,200 --> 01:13:24,200
Speaker 1: how to exceed the capabilities of China's military. Most of

1308
01:13:24,200 --> 01:13:26,880
Speaker 1: the state pensions in the United States already do this.

1309
01:13:27,040 --> 01:13:31,000
Speaker 1: Cowpers in California is the worst offender of doing just that,

1310
01:13:31,040 --> 01:13:34,639
Speaker 1: and they've got some interesting ties to some of these

1311
01:13:35,200 --> 01:13:37,920
Speaker 1: companies and egregious examples of this as well. So you've

1312
01:13:37,960 --> 01:13:41,400
Speaker 1: got that going on. You've also got China seazing the

1313
01:13:41,479 --> 01:13:44,280
Speaker 1: moment and taking advantage of America while our economy is

1314
01:13:44,280 --> 01:13:48,120
Speaker 1: on its knees by swooping in and making predatory investments

1315
01:13:48,200 --> 01:13:51,600
Speaker 1: of some of our companies with new innovation and in

1316
01:13:51,760 --> 01:13:55,200
Speaker 1: the military space. We've got to stop that, and that's

1317
01:13:55,200 --> 01:13:57,960
Speaker 1: why I've introduced a couple of bills lately that would

1318
01:13:58,000 --> 01:14:00,400
Speaker 1: do that. Really really good news this week Sean President

1319
01:14:00,439 --> 01:14:04,040
Speaker 1: Trump and Secretary Scalia at Labor have never met, never

1320
01:14:04,080 --> 01:14:06,679
Speaker 1: worked with them. In my book, he's a rock star

1321
01:14:06,760 --> 01:14:09,439
Speaker 1: for what he did this week and stopping the thrift

1322
01:14:09,479 --> 01:14:13,160
Speaker 1: savings plan, and with the President getting out and being

1323
01:14:13,200 --> 01:14:15,799
Speaker 1: a leader on this as well, stopping the frist savings

1324
01:14:15,840 --> 01:14:19,639
Speaker 1: plan for making those types of investments in China's military,

1325
01:14:19,840 --> 01:14:21,960
Speaker 1: Well that's got to stop, all right, both of you.

1326
01:14:22,160 --> 01:14:25,000
Speaker 1: On reopening the country where you stand, Andy Biggs, I

1327
01:14:25,080 --> 01:14:27,080
Speaker 1: think we can do it safely. I think we learned

1328
01:14:27,080 --> 01:14:30,479
Speaker 1: a lot from Rhondda. Santis versus New York, Pennsylvania and

1329
01:14:31,040 --> 01:14:34,400
Speaker 1: New Jersey and Michigan did a horrible job, but Florida

1330
01:14:34,439 --> 01:14:39,759
Speaker 1: got it right. They targeted protecting the older people more susceptible. Also,

1331
01:14:39,840 --> 01:14:42,000
Speaker 1: I can tell you from the epicenter of this, those

1332
01:14:42,040 --> 01:14:46,479
Speaker 1: that wore their gloves and masks in stores and grocery stores,

1333
01:14:46,600 --> 01:14:49,679
Speaker 1: keeping our shelves stocked, and drug stores that I would

1334
01:14:49,720 --> 01:14:52,759
Speaker 1: go to, they all ended up. Okay, So wearing masks

1335
01:14:52,760 --> 01:14:55,880
Speaker 1: seems to work. Yeah, Sean, I'm I'm I think we

1336
01:14:55,920 --> 01:14:59,240
Speaker 1: should open up. I think we should open up last week. Actually,

1337
01:14:59,479 --> 01:15:03,160
Speaker 1: I think we and protect the vulnerable populations. We know

1338
01:15:03,200 --> 01:15:06,679
Speaker 1: who they are. I trust the American people. They were

1339
01:15:06,760 --> 01:15:09,920
Speaker 1: used to being free. We want to be free, and

1340
01:15:10,000 --> 01:15:13,439
Speaker 1: I think with freedom, of course, comes responsibility. So I

1341
01:15:13,520 --> 01:15:16,719
Speaker 1: just if you feel insecure, I think you should stay

1342
01:15:16,720 --> 01:15:20,160
Speaker 1: in sure. If you feel comfortable going out, by all means,

1343
01:15:20,200 --> 01:15:22,800
Speaker 1: go if you feel comfortable open up your business. I

1344
01:15:22,840 --> 01:15:26,599
Speaker 1: think that should happen because we have a massive amount

1345
01:15:26,640 --> 01:15:29,120
Speaker 1: thirty six million people unemployed. If we can get this

1346
01:15:29,160 --> 01:15:32,400
Speaker 1: thing open, I think we can start getting building a

1347
01:15:32,479 --> 01:15:36,840
Speaker 1: runway to transition back to a strong economy that was

1348
01:15:37,240 --> 01:15:39,519
Speaker 1: the world's best. That you know. President Trump gave us

1349
01:15:39,520 --> 01:15:42,559
Speaker 1: a great economy. Congress helped. But I think we can

1350
01:15:42,560 --> 01:15:44,360
Speaker 1: get back to it again. But it's going to take

1351
01:15:44,640 --> 01:15:47,519
Speaker 1: opening up now, not later, not three months from now

1352
01:15:47,560 --> 01:15:50,320
Speaker 1: in some places. Well that's my point, Congressman Banks. If

1353
01:15:50,640 --> 01:15:53,519
Speaker 1: these guys stopped working in the grocery stores where I live,

1354
01:15:53,600 --> 01:15:56,000
Speaker 1: we would have starved to death. If the people in

1355
01:15:56,080 --> 01:15:58,240
Speaker 1: the drug stores where I live would have stopped working,

1356
01:15:58,439 --> 01:16:02,320
Speaker 1: we would have not had any sense. If the people

1357
01:16:02,479 --> 01:16:05,479
Speaker 1: all around the country manufacturing all the medical equipment New

1358
01:16:05,560 --> 01:16:09,880
Speaker 1: York needed, our first line defenders wouldn't have been protected,

1359
01:16:09,920 --> 01:16:11,639
Speaker 1: and we wouldn't have been able to save as many

1360
01:16:11,680 --> 01:16:14,400
Speaker 1: lives as we saved. But they kept working. They never

1361
01:16:14,439 --> 01:16:17,559
Speaker 1: shut down. Obviously they did it safely. You would think

1362
01:16:17,560 --> 01:16:21,080
Speaker 1: we'd apply those lessons. That's right, That's exactly right, Sean.

1363
01:16:21,240 --> 01:16:23,479
Speaker 1: In Indiana, we don't like to be told what to do.

1364
01:16:23,479 --> 01:16:25,040
Speaker 1: We're going to do the right thing if you give

1365
01:16:25,120 --> 01:16:27,200
Speaker 1: us a chance to do that. And that's what our

1366
01:16:27,520 --> 01:16:29,679
Speaker 1: state opened back up this week. I took my wife

1367
01:16:29,680 --> 01:16:32,479
Speaker 1: out to dinner last night. I got a haircut on Monday.

1368
01:16:32,880 --> 01:16:35,000
Speaker 1: There's no way we will get our comedy back on

1369
01:16:35,080 --> 01:16:39,040
Speaker 1: track without getting our workers back to work. And I

1370
01:16:39,080 --> 01:16:41,200
Speaker 1: know in Indiana we're showing the rest of the country

1371
01:16:41,200 --> 01:16:43,840
Speaker 1: exactly how you can do that in a safe manner,

1372
01:16:43,920 --> 01:16:48,840
Speaker 1: responsible marriages, in common sense, wear masks, wear gloves, show

1373
01:16:49,200 --> 01:16:51,680
Speaker 1: show everyone around you that you're willing to do it,

1374
01:16:51,680 --> 01:16:53,879
Speaker 1: and they'll do it too. And I think in Indiana

1375
01:16:53,880 --> 01:16:57,720
Speaker 1: we're doing just that. All right, Thank you both, Andy Biggs, Congressman,

1376
01:16:58,160 --> 01:17:01,960
Speaker 1: Freedom Caucus Chairman Jim Banks, Thank you House Armed Services Committee.

1377
01:17:02,080 --> 01:17:04,960
Speaker 1: Do you think your critics want you to keep it

1378
01:17:05,040 --> 01:17:07,720
Speaker 1: closed going into the election? Yeah? I do. I do.

1379
01:17:07,760 --> 01:17:10,639
Speaker 1: I think it's a it's a political thing. In addition,

1380
01:17:11,360 --> 01:17:15,040
Speaker 1: I think so they're saying you're putting money, business ahead

1381
01:17:15,080 --> 01:17:19,640
Speaker 1: of lives. Good. No, No, I think the people that

1382
01:17:20,280 --> 01:17:23,120
Speaker 1: want to see the right thing happen, they agree with me.

1383
01:17:23,240 --> 01:17:25,599
Speaker 1: We have to get our country open. You know, it

1384
01:17:25,640 --> 01:17:27,559
Speaker 1: was up to some people. Let's keep it closed for

1385
01:17:28,280 --> 01:17:31,640
Speaker 1: a long time, Okay, a long time, and watch the

1386
01:17:31,720 --> 01:17:33,920
Speaker 1: United States go down the tube is not going to happen,

1387
01:17:34,920 --> 01:17:37,920
Speaker 1: all right. That was the President in his interview with

1388
01:17:38,280 --> 01:17:41,920
Speaker 1: Maria Para to Romo. And you know, it's getting more

1389
01:17:41,960 --> 01:17:45,280
Speaker 1: interesting by the day. You know, we have to figure

1390
01:17:45,280 --> 01:17:48,320
Speaker 1: out here because there's only so much money to go around.

1391
01:17:48,360 --> 01:17:51,000
Speaker 1: We spent three trillion, We have four trillion available opened

1392
01:17:51,080 --> 01:17:54,040
Speaker 1: up for the FED loans available. Workers have been taken

1393
01:17:54,080 --> 01:17:59,240
Speaker 1: care of all of the ventilators, masks, gloves, gaps. They're

1394
01:17:59,280 --> 01:18:03,600
Speaker 1: all being made for rebounds, which are predictable. But they

1395
01:18:03,720 --> 01:18:07,880
Speaker 1: were now showing and learning lease from these meat packaging

1396
01:18:07,920 --> 01:18:10,640
Speaker 1: facilities that we can manage them when they pop up

1397
01:18:10,680 --> 01:18:14,200
Speaker 1: where they pop up, and make the adjustments as necessary.

1398
01:18:14,280 --> 01:18:18,040
Speaker 1: It's never gonna be perfect. I wish it was. Every

1399
01:18:18,080 --> 01:18:22,280
Speaker 1: life is precious. But if we are going people are

1400
01:18:22,360 --> 01:18:24,840
Speaker 1: dying to get back to work. So we have to

1401
01:18:24,880 --> 01:18:27,120
Speaker 1: look at well, if we want to reopen the country, well,

1402
01:18:27,120 --> 01:18:30,759
Speaker 1: what have we done successfully. I've now mentioned a zillion

1403
01:18:30,840 --> 01:18:35,439
Speaker 1: times that if the manufacturers of the medical equipment shut

1404
01:18:35,479 --> 01:18:38,760
Speaker 1: down in the middle of this pandemic while New York

1405
01:18:38,920 --> 01:18:43,040
Speaker 1: was going through a shift show, guess what we would

1406
01:18:43,040 --> 01:18:46,240
Speaker 1: have totally and completely and utterly been buried in New York.

1407
01:18:46,760 --> 01:18:49,120
Speaker 1: Healthcare workers, they wouldn't have been able to do their jobs.

1408
01:18:49,960 --> 01:18:53,000
Speaker 1: If the farmers, the packers, the truckers, and those guys.

1409
01:18:53,120 --> 01:18:55,839
Speaker 1: We met one of the kids at my local grocery

1410
01:18:55,880 --> 01:18:58,600
Speaker 1: store earlier this week. Great kid. I mean he was

1411
01:18:58,640 --> 01:19:00,960
Speaker 1: there every week. I saw him. I saw him this weekend,

1412
01:19:01,640 --> 01:19:04,280
Speaker 1: and he wore his mask. He didn't get sick. What

1413
01:19:04,320 --> 01:19:08,920
Speaker 1: did Rhonda Santis do? Rhonda Santis, Well, he targeted the

1414
01:19:09,000 --> 01:19:12,360
Speaker 1: elderly population down in Florida. And when you look at

1415
01:19:12,760 --> 01:19:16,719
Speaker 1: for example, you know, like one in it's one tenth

1416
01:19:16,760 --> 01:19:21,280
Speaker 1: of New York's nursing home deaths in Florida because DeSantis

1417
01:19:21,280 --> 01:19:25,280
Speaker 1: did it right and Governor Cuomo in New York botched it,

1418
01:19:25,320 --> 01:19:28,160
Speaker 1: made the dumbest decision on top of being laid and

1419
01:19:28,240 --> 01:19:32,120
Speaker 1: on top of rejecting his task force recommendations for medical

1420
01:19:32,120 --> 01:19:35,479
Speaker 1: equipment and ventilators from twenty fifteen. You know, then he

1421
01:19:35,520 --> 01:19:37,519
Speaker 1: took his telling us an early March along with the

1422
01:19:37,600 --> 01:19:40,559
Speaker 1: Blasio we got this handled. Where ready go out on

1423
01:19:40,600 --> 01:19:43,760
Speaker 1: the town. De Blasio saying, well, now we know, you know,

1424
01:19:43,840 --> 01:19:47,040
Speaker 1: nearly six thousand of New York's deaths were in nursing

1425
01:19:47,040 --> 01:19:50,519
Speaker 1: homes because of the executive order that mandated that nursing

1426
01:19:50,520 --> 01:19:55,680
Speaker 1: homes take on COVID nineteen patients. Okay, well, DeSantis got

1427
01:19:55,680 --> 01:19:58,800
Speaker 1: it right, and Cuomo and de Blasio and the health

1428
01:19:58,800 --> 01:20:01,800
Speaker 1: commissioner in New York they got it wrong. I mean

1429
01:20:01,840 --> 01:20:05,160
Speaker 1: it's you look at this. It is unbelievable. By the way,

1430
01:20:05,240 --> 01:20:08,559
Speaker 1: New Jersey, in Pennsylvania, they made some of the same

1431
01:20:08,600 --> 01:20:12,360
Speaker 1: mistakes as they made him in New York. Now we

1432
01:20:12,600 --> 01:20:16,560
Speaker 1: we just got news today that the Blasio's health commissioner,

1433
01:20:17,000 --> 01:20:20,840
Speaker 1: in the middle of this pandemic, when they were looking

1434
01:20:20,880 --> 01:20:25,720
Speaker 1: for masks for New York Police Department officers that were

1435
01:20:25,720 --> 01:20:28,240
Speaker 1: out there on the street, you know, basically said I

1436
01:20:28,240 --> 01:20:32,559
Speaker 1: don't give a rats ass. That's a direct quote. Cuomo

1437
01:20:32,640 --> 01:20:36,439
Speaker 1: has Howard Zucker heading up the New York State Health Department.

1438
01:20:36,439 --> 01:20:38,560
Speaker 1: He's the guy that decided, oh, we're not going to

1439
01:20:38,640 --> 01:20:41,840
Speaker 1: buy the fifteen thousand, seven hundred eighty three ventilators that

1440
01:20:41,880 --> 01:20:45,679
Speaker 1: will need peak week, and the Blasio didn't buy any

1441
01:20:45,680 --> 01:20:47,760
Speaker 1: of the ten thousand that he was supposed to buy.

1442
01:20:48,360 --> 01:20:51,600
Speaker 1: New York's health commissioner blew off at NYPD request for

1443
01:20:51,640 --> 01:20:55,400
Speaker 1: five hundred thousand surgical masks. And it's unbelievable. You know,

1444
01:20:55,479 --> 01:20:59,719
Speaker 1: New Jersey blew it, Connecticut blew it, New York blew it, Michigan,

1445
01:21:00,360 --> 01:21:04,519
Speaker 1: but Florida didn't, and other states didn't as well. And

1446
01:21:04,600 --> 01:21:06,519
Speaker 1: so what do we learn? How do we open and

1447
01:21:06,560 --> 01:21:10,400
Speaker 1: open safely? Okay, well, the elderly population has to be protected.

1448
01:21:11,040 --> 01:21:13,839
Speaker 1: If you ask, Kennedy, are you wearing your mask outside

1449
01:21:13,880 --> 01:21:17,800
Speaker 1: when you're not social distancing? My answers, yes, why you know,

1450
01:21:17,880 --> 01:21:20,719
Speaker 1: because I do it out of respect for older people

1451
01:21:20,760 --> 01:21:23,840
Speaker 1: I may have contact with. Here's my answer. I don't

1452
01:21:23,840 --> 01:21:27,280
Speaker 1: have any parents, my parents along gone, my grandparents along gone.

1453
01:21:27,640 --> 01:21:29,680
Speaker 1: But if I run into elderly people, I don't want

1454
01:21:29,720 --> 01:21:32,439
Speaker 1: them to contract the disease. I'm relatively young and healthy,

1455
01:21:32,479 --> 01:21:36,080
Speaker 1: I'm fine, but I do it for them. Now we see,

1456
01:21:36,160 --> 01:21:39,120
Speaker 1: how did these guys stock the shelves every week right

1457
01:21:39,200 --> 01:21:42,640
Speaker 1: in ground zero, the epicenter of this whole thing, and

1458
01:21:42,680 --> 01:21:45,240
Speaker 1: they none of them got sick because they were all

1459
01:21:45,280 --> 01:21:49,800
Speaker 1: wearing masks. Well, okay, you do the temperature check turnstiles

1460
01:21:49,840 --> 01:21:53,559
Speaker 1: at any stadium, you give everybody a mask with whatever

1461
01:21:53,800 --> 01:21:57,120
Speaker 1: team emblem you have on it. You can drink beer

1462
01:21:57,200 --> 01:21:59,599
Speaker 1: through a straw, put it up the side of your

1463
01:21:59,680 --> 01:22:02,719
Speaker 1: mask or something. Maybe take a bite of a hot talk,

1464
01:22:03,160 --> 01:22:05,439
Speaker 1: but that's it. Older people should be asked to stay

1465
01:22:05,439 --> 01:22:09,360
Speaker 1: home this season, not out of discrimination, out of respect

1466
01:22:09,640 --> 01:22:13,800
Speaker 1: for their health and their better protection. Anyway, there are

1467
01:22:13,840 --> 01:22:17,640
Speaker 1: some businesses that are opening and finding solutions. I was

1468
01:22:17,680 --> 01:22:20,599
Speaker 1: blown away by the plexiglass. Have talked a lot about

1469
01:22:20,600 --> 01:22:24,400
Speaker 1: it to give manicures and more social distancing. You put

1470
01:22:24,400 --> 01:22:27,160
Speaker 1: your hands under what is like a bank teller handing

1471
01:22:27,160 --> 01:22:31,360
Speaker 1: out cash, opening and the plexiglass. Everyone's with masks and gloves.

1472
01:22:31,439 --> 01:22:33,519
Speaker 1: Guess what it's getting done, and it seems to be

1473
01:22:33,600 --> 01:22:39,280
Speaker 1: getting done safely. Now Alex and Kelsey Carroll. They happen

1474
01:22:39,320 --> 01:22:42,120
Speaker 1: to be small business owners, thirty one year old couple.

1475
01:22:42,120 --> 01:22:45,400
Speaker 1: They have two kids, thirteen employees. Now they have a

1476
01:22:45,520 --> 01:22:49,960
Speaker 1: game based events business. It's called Toss Up Events. By

1477
01:22:50,000 --> 01:22:53,120
Speaker 1: the way. They have clients like the Cowboys, the Broncos, Pepsi,

1478
01:22:53,600 --> 01:22:56,639
Speaker 1: and they're on their way to another successful summer when

1479
01:22:56,760 --> 01:23:01,080
Speaker 1: COVID nineteen put everything to a standstill. And anyway, they

1480
01:23:01,160 --> 01:23:04,439
Speaker 1: join us now to talk about solutions. By the way,

1481
01:23:04,439 --> 01:23:06,920
Speaker 1: Welcome to the program. Alex and Kelsey who's in charge

1482
01:23:06,920 --> 01:23:10,160
Speaker 1: of the business, is you Kelsey? I'm just guessing. Well, yeah,

1483
01:23:10,160 --> 01:23:15,800
Speaker 1: of course, and Alex you agree with that, right? Oh? Absolutely?

1484
01:23:16,439 --> 01:23:18,360
Speaker 1: All right, So tell me a little bit about your business.

1485
01:23:18,360 --> 01:23:21,280
Speaker 1: What do you do? So toss up events? We started

1486
01:23:21,320 --> 01:23:24,559
Speaker 1: about three years ago. We build outdoor experiences outside of

1487
01:23:24,600 --> 01:23:29,200
Speaker 1: stadiums with some of the big brands out there. And yeah,

1488
01:23:28,800 --> 01:23:32,720
Speaker 1: when when COVID hit that all stopped. It's fun. So

1489
01:23:32,800 --> 01:23:36,360
Speaker 1: I think I know what this is. So every Christmas

1490
01:23:36,560 --> 01:23:38,760
Speaker 1: as my Christmas gift to my son, I would give

1491
01:23:38,800 --> 01:23:41,200
Speaker 1: them Super Bowl tickets and we go to the Super

1492
01:23:41,240 --> 01:23:43,720
Speaker 1: Bowl together. You go outside the Super Bowl. You know,

1493
01:23:43,800 --> 01:23:46,479
Speaker 1: you have like a place where you can catch catch

1494
01:23:46,520 --> 01:23:49,400
Speaker 1: footballs at other station, where you can kick a field

1495
01:23:49,400 --> 01:23:51,080
Speaker 1: gold stuff like that. Is that the kind of thing

1496
01:23:51,080 --> 01:23:55,280
Speaker 1: you do except games? Yeah, it's in it's branded games.

1497
01:23:55,320 --> 01:23:58,680
Speaker 1: So we'll work with brands to create fun experiences for

1498
01:23:58,760 --> 01:24:01,519
Speaker 1: fans to engage with you before they go inside the stadium.

1499
01:24:01,560 --> 01:24:04,120
Speaker 1: Exactly what you're talking about. I love that, all right.

1500
01:24:04,200 --> 01:24:07,200
Speaker 1: So where are you now with your business? You got

1501
01:24:07,200 --> 01:24:11,280
Speaker 1: thirteen employees. I guess everything is at a standstill unless

1502
01:24:11,320 --> 01:24:15,760
Speaker 1: sports stadiums open up again. Yep, yep. So Sean. It

1503
01:24:15,920 --> 01:24:19,040
Speaker 1: was crazy when it March eleven's hit for our business.

1504
01:24:20,040 --> 01:24:23,679
Speaker 1: We had thirteen guys all over the country delivering events

1505
01:24:23,680 --> 01:24:27,040
Speaker 1: at all different types of sporting events and all their

1506
01:24:27,080 --> 01:24:31,439
Speaker 1: live events, and it all stopped on a dime. Literally

1507
01:24:31,439 --> 01:24:35,320
Speaker 1: had to bring everyone back home, furlough everyone. We didn't

1508
01:24:35,320 --> 01:24:38,240
Speaker 1: know when events were going to come back, but it

1509
01:24:38,280 --> 01:24:40,720
Speaker 1: was funny. I was talking about this with Kelsey last night.

1510
01:24:41,000 --> 01:24:44,519
Speaker 1: It's only in America that within a couple of days

1511
01:24:44,880 --> 01:24:47,879
Speaker 1: we were able to pivot come up with a product

1512
01:24:47,920 --> 01:24:51,719
Speaker 1: that would fit the marketplace, which is hand sanitizer stations

1513
01:24:51,920 --> 01:24:55,559
Speaker 1: using the same vendors, being able to bring our employees back.

1514
01:24:56,160 --> 01:24:58,519
Speaker 1: And so within two or three days we were able

1515
01:24:58,560 --> 01:25:02,760
Speaker 1: to bring back all thirteen people, and then our manufacturer

1516
01:25:02,760 --> 01:25:05,759
Speaker 1: out of Quinland, Texas was able to bring back nine people.

1517
01:25:06,640 --> 01:25:09,840
Speaker 1: You know, American jobs were making it here. There's a

1518
01:25:09,920 --> 01:25:12,280
Speaker 1: need for it, and we're just focusing on bringing back,

1519
01:25:12,560 --> 01:25:15,439
Speaker 1: bringing people back to work safely. And Kelch so what

1520
01:25:15,479 --> 01:25:18,880
Speaker 1: are the sanitizing stations? Because you sanitize here. I have

1521
01:25:18,920 --> 01:25:20,400
Speaker 1: a picture of it in front of me. I want

1522
01:25:20,400 --> 01:25:24,960
Speaker 1: you to describe it to people. Of course, so everybody

1523
01:25:25,080 --> 01:25:27,720
Speaker 1: that has been you know, to a hospital recently or

1524
01:25:27,720 --> 01:25:32,719
Speaker 1: even before coronavirus hit, they have these hand sanitizer stands

1525
01:25:32,880 --> 01:25:35,719
Speaker 1: and it's a dispenser that you would just you know, push,

1526
01:25:35,840 --> 01:25:40,120
Speaker 1: get some foam sanitizer hands like that. And so what

1527
01:25:40,160 --> 01:25:46,000
Speaker 1: we've created is a premium quality built stand that comes

1528
01:25:46,000 --> 01:25:51,519
Speaker 1: with the dispenser, the sanitizer that businesses, small businesses, big

1529
01:25:51,560 --> 01:25:56,680
Speaker 1: businesses can buy and have branded with their logos on it,

1530
01:25:56,960 --> 01:25:59,920
Speaker 1: and it can be a part of their store, their retail,

1531
01:26:00,080 --> 01:26:02,840
Speaker 1: their restaurant and it will last for years to come.

1532
01:26:04,520 --> 01:26:06,439
Speaker 1: Sort of like when you go to a hospital or

1533
01:26:06,439 --> 01:26:10,960
Speaker 1: a lot of buildings they have the pure El stand, right, yeah, yeah, exactly,

1534
01:26:11,080 --> 01:26:12,479
Speaker 1: except you could do it like I could do the

1535
01:26:12,479 --> 01:26:17,840
Speaker 1: Sean Hannity shows a sanitizer. Yeah, well call it hannitizer. Yeah.

1536
01:26:18,720 --> 01:26:21,519
Speaker 1: The big difference in the big difference between our stand

1537
01:26:21,760 --> 01:26:23,800
Speaker 1: and what we really wanted to try to do. Most

1538
01:26:23,840 --> 01:26:26,479
Speaker 1: of the stands out there are made in China. They're

1539
01:26:26,560 --> 01:26:29,519
Speaker 1: less than fifteen pounds, and I think our our big

1540
01:26:29,560 --> 01:26:33,840
Speaker 1: gamble was, hey, when people start using this every single day,

1541
01:26:34,080 --> 01:26:36,160
Speaker 1: So you know, the Purell stand in the corner of

1542
01:26:36,200 --> 01:26:38,599
Speaker 1: the office building, maybe five percent of people walked by

1543
01:26:38,640 --> 01:26:40,840
Speaker 1: and used it. You know, now you're gonna get one

1544
01:26:40,920 --> 01:26:43,719
Speaker 1: hundred percent usage. So we don't think the Chinese made

1545
01:26:43,760 --> 01:26:47,240
Speaker 1: twelve pound stand is going to hold up. So this

1546
01:26:47,320 --> 01:26:51,559
Speaker 1: is a sixty two pound, high quality stand that's gonna

1547
01:26:51,640 --> 01:26:53,680
Speaker 1: last for years to come. So that that was our

1548
01:26:53,720 --> 01:26:56,280
Speaker 1: play of Hey, so demand is pretty high for this

1549
01:26:56,479 --> 01:27:00,000
Speaker 1: right now. So you're keeping all your employees working, oh yeah,

1550
01:27:00,040 --> 01:27:03,080
Speaker 1: oh yeah. We've got thirteen people back in our office,

1551
01:27:03,120 --> 01:27:05,400
Speaker 1: who've got eight people out in Quinlan, and then we've

1552
01:27:05,439 --> 01:27:08,160
Speaker 1: got people who lost their jobs that are selling it

1553
01:27:08,200 --> 01:27:12,240
Speaker 1: on a commission basis. And the demand is absolutely crazy.

1554
01:27:12,600 --> 01:27:15,120
Speaker 1: That's amazing. What a great story. Good for you guys

1555
01:27:15,160 --> 01:27:18,960
Speaker 1: thinking on your feet, and I just got to give

1556
01:27:19,000 --> 01:27:22,599
Speaker 1: you a lot of credit. And it's also gonna help listen.

1557
01:27:22,640 --> 01:27:25,439
Speaker 1: I talked to Randy Levine of the Yankees last night.

1558
01:27:25,560 --> 01:27:28,519
Speaker 1: Is the chief executive. I've been talking to him almost

1559
01:27:28,600 --> 01:27:30,640
Speaker 1: every day. I've been talking to I was on the

1560
01:27:30,640 --> 01:27:33,040
Speaker 1: phone with John Issner last night. He plays, you know,

1561
01:27:33,080 --> 01:27:35,479
Speaker 1: one of the top tennis players in the world, and

1562
01:27:35,560 --> 01:27:38,599
Speaker 1: they're dying to get back out and play. These guys

1563
01:27:38,640 --> 01:27:41,760
Speaker 1: want to play. Now, if you go through a temperature check,

1564
01:27:41,880 --> 01:27:44,320
Speaker 1: you go through your little sanitizer thing that you guys

1565
01:27:44,320 --> 01:27:47,840
Speaker 1: are producing. We clean our hands, you know, Yankee sanitizer,

1566
01:27:48,040 --> 01:27:52,360
Speaker 1: US open sanitizer, sanitizer, sanitizer, whatever it happens to be.

1567
01:27:53,200 --> 01:27:55,519
Speaker 1: Everyone gets a mask. Randy Levine said he could have

1568
01:27:55,560 --> 01:27:58,839
Speaker 1: a mask for every single person that enters Yankee Stadium.

1569
01:27:59,360 --> 01:28:03,120
Speaker 1: They get they have these thermo if you know, when

1570
01:28:03,120 --> 01:28:06,040
Speaker 1: you walk through a turnstile, they have thermo turnstyles. You

1571
01:28:06,080 --> 01:28:08,160
Speaker 1: can bring a ton of people through and check people's

1572
01:28:08,160 --> 01:28:11,439
Speaker 1: temperatures by the thousands, and you know, and like no

1573
01:28:11,600 --> 01:28:13,920
Speaker 1: time at all and make sure if somebody is a

1574
01:28:13,960 --> 01:28:15,760
Speaker 1: temperature you got to say, okay, we can't let you

1575
01:28:15,800 --> 01:28:19,759
Speaker 1: in today. I mean, that's one check. Since we've launched,

1576
01:28:19,840 --> 01:28:23,439
Speaker 1: since we've launched stand up Stations dot com, we've gotten

1577
01:28:23,479 --> 01:28:30,080
Speaker 1: requests from all over the country, from New York, Florida, Louisiana, Georgia.

1578
01:28:30,120 --> 01:28:35,000
Speaker 1: And these are from mom and pop barbershops to big

1579
01:28:35,040 --> 01:28:37,800
Speaker 1: corporations looking for a heck of a lot of them,

1580
01:28:38,840 --> 01:28:42,160
Speaker 1: to restaurants, and we're trying to just make them as

1581
01:28:42,280 --> 01:28:45,080
Speaker 1: quickly as we can. And I think that that is

1582
01:28:45,840 --> 01:28:48,400
Speaker 1: that was our advantage, is how quickly we were able

1583
01:28:48,439 --> 01:28:52,439
Speaker 1: to move into action. You know, we're talking to the

1584
01:28:52,479 --> 01:28:55,280
Speaker 1: teams just like you said, right, we're working with different

1585
01:28:55,360 --> 01:28:58,400
Speaker 1: NFL teams where we're going to adjust our stand up

1586
01:28:58,400 --> 01:29:02,360
Speaker 1: station sanitizer stand to be two feet taller and hold

1587
01:29:02,600 --> 01:29:05,599
Speaker 1: the temperature checker so when you go into the stadium,

1588
01:29:05,680 --> 01:29:08,640
Speaker 1: you're gonna feel safe. You sanitize your hands, you get

1589
01:29:08,680 --> 01:29:11,639
Speaker 1: your temperature checked, you go in, you have your mask

1590
01:29:11,720 --> 01:29:14,919
Speaker 1: on that gets handed to you. It's a safe process,

1591
01:29:15,240 --> 01:29:17,160
Speaker 1: you know. We feel if if we can do this

1592
01:29:17,280 --> 01:29:20,639
Speaker 1: one thing, which is a pain in everyone's backside, if

1593
01:29:20,680 --> 01:29:25,360
Speaker 1: everyone can just accept that you'll wear the mask because

1594
01:29:25,400 --> 01:29:28,880
Speaker 1: you care about your fellow Americans. They're vulnerable people out there.

1595
01:29:28,960 --> 01:29:31,800
Speaker 1: They got this Kawasaki thing going on in New York now.

1596
01:29:31,920 --> 01:29:34,559
Speaker 1: But we're learning lessons here, I mean we're learning them

1597
01:29:34,560 --> 01:29:38,240
Speaker 1: the hard way. But those that protected the elderly population,

1598
01:29:38,920 --> 01:29:41,960
Speaker 1: those that you know, those in the epicenter of this,

1599
01:29:42,040 --> 01:29:45,760
Speaker 1: that wore their masks, wore their gloves, use their sanitizer,

1600
01:29:46,400 --> 01:29:48,880
Speaker 1: they didn't get sick. At the stores that I go to,

1601
01:29:49,560 --> 01:29:52,240
Speaker 1: I've been going to the same restaurants, the same deli,

1602
01:29:52,479 --> 01:29:57,639
Speaker 1: the same pizza place, Bayville Deli, Mario's Pizza, Lapazeta, christ

1603
01:29:57,680 --> 01:30:01,080
Speaker 1: and Tony's Rothman Steakhouse every single you know, I buy

1604
01:30:01,120 --> 01:30:04,679
Speaker 1: food out all the time, and I buy more food

1605
01:30:04,680 --> 01:30:06,880
Speaker 1: than I can eat because I just want to see

1606
01:30:06,880 --> 01:30:09,880
Speaker 1: my friends number one and number two. Nobody's getting sick

1607
01:30:09,880 --> 01:30:12,920
Speaker 1: in any of these places in the epicenter because they're

1608
01:30:12,960 --> 01:30:18,719
Speaker 1: all masking up. So ye, a sign of respect, side

1609
01:30:18,720 --> 01:30:20,479
Speaker 1: of respect, that's a great way to put it. I

1610
01:30:20,560 --> 01:30:24,799
Speaker 1: respect older people. I respect. Look. I wish I could

1611
01:30:25,000 --> 01:30:27,439
Speaker 1: put on the mask for my grandparents and mother and

1612
01:30:27,479 --> 01:30:29,720
Speaker 1: father they passed away. But I'll put it on for

1613
01:30:29,800 --> 01:30:34,000
Speaker 1: your parents and your grandparents. How's that well? And I

1614
01:30:34,040 --> 01:30:36,360
Speaker 1: think what we're trying to do too is just make

1615
01:30:36,400 --> 01:30:39,599
Speaker 1: people feel safe when they come back, right. It's it's

1616
01:30:39,640 --> 01:30:42,120
Speaker 1: something that you can the same way you wear a mask.

1617
01:30:42,560 --> 01:30:45,559
Speaker 1: You sanitize your hands, you kill the germs on your hands.

1618
01:30:45,840 --> 01:30:48,000
Speaker 1: We're just trying to do our small part, you know,

1619
01:30:48,080 --> 01:30:50,360
Speaker 1: to get America back to work. I love these guys,

1620
01:30:50,400 --> 01:30:53,320
Speaker 1: I mean, guys, this is awesome. I mean, you don't

1621
01:30:53,360 --> 01:30:56,360
Speaker 1: think has a New York thick New York accent, do you? Guys?

1622
01:30:56,760 --> 01:30:59,519
Speaker 1: Of course they don't. Well, I dropped my I have

1623
01:30:59,600 --> 01:31:01,439
Speaker 1: a five one. I have a five one six area

1624
01:31:01,479 --> 01:31:04,160
Speaker 1: code I lost my accent when I moved to Texas.

1625
01:31:04,600 --> 01:31:08,320
Speaker 1: Good for you. I lost mine when I moved to Alabama. Well,

1626
01:31:08,439 --> 01:31:11,519
Speaker 1: guys again, give out your website. UM, I'm gonna tell

1627
01:31:11,600 --> 01:31:14,120
Speaker 1: Randy Levine about you when I talked to him, when

1628
01:31:14,120 --> 01:31:16,320
Speaker 1: I talk to any US Open officials, I'll tell him

1629
01:31:16,360 --> 01:31:18,599
Speaker 1: about you. Also. We'll put it up on Hannity dot com.

1630
01:31:18,640 --> 01:31:20,120
Speaker 1: Give you a little plug, although it sounds like you

1631
01:31:20,120 --> 01:31:24,280
Speaker 1: don't need any help from us. Thank you so much,

1632
01:31:24,800 --> 01:31:27,479
Speaker 1: all right, thank you guys dot com. We appreciate it.

1633
01:31:27,880 --> 01:31:29,599
Speaker 1: All right, thank you both for what you doing. Eight

1634
01:31:29,680 --> 01:31:31,280
Speaker 1: hundred and ninety four one. Sean, you want to be

1635
01:31:31,320 --> 01:31:33,080
Speaker 1: a part of the program. All right. That's gonna wrap

1636
01:31:33,120 --> 01:31:36,600
Speaker 1: things up for today. Loaded up tonight, Sidney Powell, that

1637
01:31:36,760 --> 01:31:41,719
Speaker 1: is General Flynn's attorney, the great one, Mark Levin, Rudy

1638
01:31:41,800 --> 01:31:45,320
Speaker 1: Julie A. Pet Navarro, Dan Bongino, David Rubin, and Carl

1639
01:31:45,479 --> 01:31:48,960
Speaker 1: Rove will analyze where we are one hundred and seventy

1640
01:31:48,960 --> 01:31:51,920
Speaker 1: three days till the ultimate jury You the American people,

1641
01:31:52,000 --> 01:31:55,840
Speaker 1: nine Eastern Tonight, Hannity, Fox News. Set your DVR, don't

1642
01:31:55,880 --> 01:31:58,679
Speaker 1: forget Hannity dot Com for all the news information update.

1643
01:31:58,760 --> 01:32:00,720
Speaker 1: You will need on a daily basis us. Thanks for

1644
01:32:00,760 --> 01:32:12,960
Speaker 1: being with us back here tomorrow, m H.