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Speaker 1: All right, we begin the program today T minus one,

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Speaker 1: twenty six and twenty seconds. Glad you're with us as

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Speaker 1: we watch the historic US space launch scheduled for about

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Speaker 1: four thirty three last I checked this afternoon Eastern Standard

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Speaker 1: time one thirty three Pacific time. You know, this is

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Speaker 1: a pretty fascinating thing when you look at what this

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Speaker 1: is all about. Elon Musk is space X. It's about

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Speaker 1: to launch humans for NASA. It's an incredible, incredible example

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Speaker 1: of public private partnerships. You know, we have talked a

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Speaker 1: lot about how amazing, you know, how amazing the American

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Speaker 1: people are. I actually spent a lot of time. I

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Speaker 1: spend time tweeting today because if we're gonna sum up coronavirus,

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Speaker 1: one of the things that we learned here, we've rewritten

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Speaker 1: the books on how we will deal with pandemics. We

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Speaker 1: have rewritten. We have now shown American ingenuity at its best.

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Speaker 1: We see that I saw a plan today by the

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Speaker 1: Wind Hotel in Vegas and how they planned to open

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Speaker 1: up and open up safely. I was really really amazed

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Speaker 1: by it, loved it, and I just thought it was

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Speaker 1: just really good, solid, great Americans doing what they do best.

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Speaker 1: Every single day, and they make our lives better every

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Speaker 1: single day, you know. And what if we're gonna sum

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Speaker 1: it up, and this is what I sent out on

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Speaker 1: Twitter today, what are the lessons we learned? And then

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Speaker 1: I'll dovetail this into the SpaceX program and this launch

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Speaker 1: that we expect hopefully this afternoon. Last I heard they

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Speaker 1: were saying it is about fifty fifty based on weather conditions, etc.

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Speaker 1: But we learned what the experts, the doctors, models, projections

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Speaker 1: were all dead wrong. I'm summing it up here. We

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Speaker 1: learned that China lie to the entire world in a

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Speaker 1: spectacular way that resulted in many, many, many, many hundreds

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Speaker 1: of thousand dying needlessly. As that British study said, we

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Speaker 1: could have prevented nine of this. We also learned that

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Speaker 1: we better start manufacturing our own medical equipment and our

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Speaker 1: own medicines at home, including the key ingredients, which we

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Speaker 1: soon learned we did not have all of them available

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Speaker 1: to us because a lot of this has been outsourced

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Speaker 1: to China. Another reason, if you want to think about

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Speaker 1: a president being really ahead of the curve, Donald Trump

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Speaker 1: and China, I don't think anybody was anymore right. And

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Speaker 1: the same thing with the border and the wall, and

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Speaker 1: on a lot of issues, Donald Trump has been ahead

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Speaker 1: of the curve. And you know, if we're going to continue,

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Speaker 1: if we learned that protecting you know, in other word,

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Speaker 1: so the second part, we've got to start manufacturing our

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Speaker 1: own medical equipment, our own medicines at home, so we

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Speaker 1: are never ever reliant, ever again on other countries for

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Speaker 1: such vital medicine and equipment. We can't do that. We

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Speaker 1: learned that protecting older Americans. Now this all vacillated with

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Speaker 1: the experts all throughout this time here, you know, even

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Speaker 1: doctor Fauci saying it only in a mask in mid

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Speaker 1: March and the risk is low in February twenty ninth,

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Speaker 1: this past leap year. But we learned that protecting older

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Speaker 1: Americans was crucial. That was the one thing that remained constant.

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Speaker 1: Older people, underlying medical conditions, compromised immune systems, they were

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Speaker 1: most at risk. And they did that perfectly in states

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Speaker 1: like Florida, in Texas. I use Florida as the greatest example,

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Speaker 1: because every department in the state played a role in

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Speaker 1: going and working with the nursing homes, long term care facilities,

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Speaker 1: communities like the villages. They did an amazing job. We

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Speaker 1: learned that when we do not protect older Americans, like

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Speaker 1: the executive orders New York, New Jersey, Pennsylvania, the unmitigated

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Speaker 1: disaster that is Michigan, it is a disaster. And had

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Speaker 1: we not put COVID nineteen patients in homes with other sick, older,

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Speaker 1: vulnerable people, we don't know how many thousands and thousands

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Speaker 1: of lives could have been saved. That was That was

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Speaker 1: a huge mistake. We got to learn from our mistakes. Also,

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Speaker 1: we learned you on so many levels, you got to

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Speaker 1: learn from the things you do right the things you

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Speaker 1: do wrong. We learned that when we do not protect them,

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Speaker 1: there's trouble. We learned that travel bands and quarantines are smart,

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Speaker 1: the new normal, as far as I'm concerned, not historical

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Speaker 1: xenophobic fearmongering. We learned that medical supply chains, food supply

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Speaker 1: chains that never shut down, they worked perfectly, in large

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Speaker 1: part because those people in those manufacturing facilities, those eloyees

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Speaker 1: did wear their masks, so masks work. We got to

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Speaker 1: learn from it. We also were reminded that all medical workers, doctors, nurses,

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Speaker 1: janitors inside these hospitals are heroes. We learned that those

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Speaker 1: medical manufacturers of all that medical equipment, you know, at

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Speaker 1: a record pace. They're all heroes too. We learned that

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Speaker 1: the farmers, packers, truckers, grocery store clerks, and guys that

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Speaker 1: stock the show's daily to feed us, they're heroes. We

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Speaker 1: learned that this country is great because of the people

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Speaker 1: in this country. We the people you make it great.

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Speaker 1: The people of this country are I mean, that's the

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Speaker 1: greatest country God has ever given Man. Is just no

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Speaker 1: other way to put it. And I think it should

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Speaker 1: inspire every single American in terms of, you know what

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Speaker 1: we're capable of. This was the largest, the fastest medical

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Speaker 1: mobilization in the history of mankind. Happened right here before

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Speaker 1: our very eyes, starting in March, and it's not June yet.

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Speaker 1: We learned, oh, Governor Cuoma, he needs to refund the

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Speaker 1: state income tax bill that he's sending out of state

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Speaker 1: medical professionals that came to the epicenter of the coronavirus

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Speaker 1: to work in the hospitals here to help save lives

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Speaker 1: and put themselves in harm's way in New York's hour

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Speaker 1: of need? Is that, Governor? Is that how you say

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Speaker 1: thank you? I mean, because it's absurd those are the lessons,

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Speaker 1: and we learned that these public private partnerships work amazingly

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Speaker 1: well because of the ingenuity of the American people. Who

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Speaker 1: would have ever thunk it that Ford and GM are

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Speaker 1: going to manufacture ventilators, but they did, which brings us

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Speaker 1: back to where I started, which is, all right, we're

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Speaker 1: watching t you know, one hour and twenty three minutes

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Speaker 1: whatever it happens to be till this space X is

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Speaker 1: about to launch humans for NASA. It is by the way,

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Speaker 1: this started in two thousand and two Elon Musk and

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Speaker 1: let me tell you something, this has now been a

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Speaker 1: goal eighteen years in the making. He started this company,

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Speaker 1: set his sights on human space flight and demo to

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Speaker 1: this mission. Will see the company's crew Dragon spacecraft launched

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Speaker 1: from Cape Canaveral. The Governor will be there, I understand,

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Speaker 1: the President is going to be there. These two astronauts

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Speaker 1: on board, Bob Benkon and Doug Hurley, for the first time.

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Speaker 1: It will be the first launch of humans to orbit

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Speaker 1: from American soil since the retirement of the Space Shuttle

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Speaker 1: in July at twenty eleven. And this is now a

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Speaker 1: new exciting era of human space flight. Now it was

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Speaker 1: literally a private spacecraft carrying astronauts, and SpaceX was they

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Speaker 1: worked hand in hand with NASA to build the spacecraft.

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Speaker 1: It's called Crew Dragon. It's taken them over a decade.

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Speaker 1: And by the way, what is going to go down

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Speaker 1: today is you know not it is not without risk.

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Speaker 1: There's risk here, as we learned from the Challenger, and

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Speaker 1: our thoughts and our prayers to these astronauts and all

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Speaker 1: these engineers at NASSA and all the people working at

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Speaker 1: SpaceX that have devoted every second, minute, an hour of

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Speaker 1: their lives trying to make this all go perfectly today.

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Speaker 1: And if I had to bet, I'd say, of course

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Speaker 1: it's going to go well, because we have the best.

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Speaker 1: Occasionally things are not perfect. We're not perfect people. Anyway,

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Speaker 1: It's going to head to the space station and it

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Speaker 1: will take the about nineteen hours to reach that International

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Speaker 1: Space Station, and the Space station crew, like astronauts on

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Speaker 1: any of the mission, they're going to live and work

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Speaker 1: with these other International Space Station astronauts for the duration

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Speaker 1: of their time there. And these two guys that they

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Speaker 1: have flown to space several times before. Hurley was even

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Speaker 1: the pilot on the final Space Shuttle flight and it's

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Speaker 1: a phenomenal tribute to human ingenuity and genius and creativity

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Speaker 1: and engineering and science and all the things that we

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Speaker 1: marvel at. They're about to break a nine year hiatus

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Speaker 1: for NASA as they're the first astronauts now to launch

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Speaker 1: from US soil since the retirement of the Shuttle in

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Speaker 1: the intervening years. And this is kind of pathetic in

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Speaker 1: my mind. Maybe I'm just too pro American, but NASA

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Speaker 1: bought seats for our astronauts at a cost of fifty

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Speaker 1: million bucks of flight from the Russians they were flying

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Speaker 1: our astronauts now they've worked with Now are this is

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Speaker 1: all hands on deck? Yet? Boeing being a part of this,

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Speaker 1: SpaceX being a part of this, NASA being a part

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Speaker 1: of this, a vision by Elon Musk being a part

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Speaker 1: of this, and all the smart people that he hired,

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Speaker 1: and the idea is that eventually this would build into

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Speaker 1: something even bigger. I don't know, Linda, did you ever

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Speaker 1: watch any of these uh, nat GEO or History Channel

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Speaker 1: one of the others. I don't remember which channel one

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Speaker 1: of those channels. Yeah, Nadia does a bunch of stuff

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Speaker 1: on this. I love the stuff on Mars rovers and

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Speaker 1: I mean I've watched it over and over and over,

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Speaker 1: so generous spirit, opportunity, curiosity, and these you watch these

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Speaker 1: things land on Mars and it takes you through this

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Speaker 1: whole process and then they get stuck in the mud.

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Speaker 1: And how do they figure it out from Earth to

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Speaker 1: get this thing rolling again? And how they the first

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Speaker 1: one they did lasted so much longer than they ever

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Speaker 1: thought it would ever work. Um, it's incredible. I mean,

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Speaker 1: there's galaxies, you know, we have universes within universes within universes.

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Speaker 1: And by the way, China is set to launch a

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Speaker 1: Mars probe and their own rover mission in July. Well

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Speaker 1: that's what they're saying. They're saying there's going to be

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Speaker 1: one from Europe, one from US, and one from China

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Speaker 1: all this year. It takes like seven to ten months

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Speaker 1: to get to Mars, and it's we're gonna have all

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Speaker 1: three of these these countries do it. It's just crazy.

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Speaker 1: Why is the competitive side of me want to win?

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Speaker 1: We want to I want to win. I can't help it.

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Speaker 1: It's who I am. It's in my DNA. And I

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Speaker 1: think we did a terrible service in terms of the

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Speaker 1: American people by by dismantling this even for a period

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Speaker 1: of time. All right, we'll get to all of that

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Speaker 1: and we'll be watching it throughout the afternoon. Bill O'Reilly

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Speaker 1: also is going to check in toight. We have a

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Speaker 1: lot of news today, a lot on Twitter and freedom

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Speaker 1: of speech and censorship, and all these companies playing all

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Speaker 1: these games against conservatives are being called out by the President,

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Speaker 1: by the Vice president rightly. So I love how we

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Speaker 1: have CNN, Washington Post now fact checking for Jack Dorsey. Now, Linda,

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Speaker 1: your friends with Jack Dorsey. I've met Jackson. I would

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Speaker 1: say friends as a stretch for colleagues, for business colleagues. Okay,

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Speaker 1: you got him to come on this program and I

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Speaker 1: met with them. Yeah. I think is a smart guy.

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Speaker 1: I explained at that time, if you remember in a

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Speaker 1: lot of detail where conservatives concerns were, and you recall

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Speaker 1: the issues probably better than I do. Yeah, I mean

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Speaker 1: we went to dinner, we talked about it, and you know,

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Speaker 1: the one thing I said to him was, you have

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Speaker 1: to be fair and balanced. You have to hate everybody equally,

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Speaker 1: Like if you're going to have something said about the

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Speaker 1: left and have it said about the right and vice versa.

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Speaker 1: And he was very open to that, but the left

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Speaker 1: is being real pushy. They don't they don't like the pay.

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Speaker 1: So if they don't like what somebody tweets, you know,

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Speaker 1: my answer is too bad if you don't like you know,

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Speaker 1: for them to be the fact checkers, Okay, that's a

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Speaker 1: that's a task impossible. Yeah, because CNN and the Washington

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Speaker 1: Post are not the people you go to if you're

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Speaker 1: gonna cite fact checking. And that's exactly what Twitter did.

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Speaker 1: I guess they have this new competitor to Twitter. What

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Speaker 1: is it called Gab or something like that, parlor parlor gab.

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Speaker 1: I don't know, but they but you know something. By

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Speaker 1: the way, for me to tweet now, I have to

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Speaker 1: run it through an army of handlers. Nobody lets me

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Speaker 1: tweet on my own. I don't even have Linda. It's

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Speaker 1: been how long since I've had access to any account

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Speaker 1: time if you feel like I'm a child that has

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Speaker 1: had my toys taken away after my last fights. By

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Speaker 1: the way, Jimmy Kimmel, to his credit, said I never

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Speaker 1: thought i'd say this, but listen to Sean Hannity because

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Speaker 1: he agrees with me. Andy, and I know some of

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Speaker 1: you disagree with me for this short period of time

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Speaker 1: as because we got to reopen the country. Seventy four

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Speaker 1: percent of small business experts they're expecting a recovery, but

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Speaker 1: the cost is now too high. And of wearing masks

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Speaker 1: brings us to football stadiums. All wear it, That's my line,

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Speaker 1: not because any government official told me to, but also

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Speaker 1: to protect grandma and grandpa. You know, if my parents

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Speaker 1: were alive, i'd do it for them. My grandparents were alive,

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Speaker 1: I'd do it for them. I did not like what

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Speaker 1: I saw in that pool in the Ozarks, not because

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Speaker 1: I think the kids are not young people are not

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Speaker 1: as susceptible to coronavirus. But if they go see grandma

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Speaker 1: and grandpa, then it's a problem if they get it.

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Speaker 1: If they have it and they may not know that,

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Speaker 1: they may be asymptomatic. We've learned, just got to learn

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Speaker 1: the lessons because once we get past this completely, with

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Speaker 1: whatever treatment, vaccine, etc. That emerges, which will be a

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Speaker 1: controversy in and of itself, don't drag me into that.

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Speaker 1: Then life back to normal. Let's get let's get our

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Speaker 1: game on and be Americans. That's who we are, you know,

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Speaker 1: freedom and fun and beaches and barbecues. That's what I

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Speaker 1: want in country music. You know, I just cannot get

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Speaker 1: over the gall of New York even to this day.

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Speaker 1: So Cuomo's going to Washington to meet with Trump, and

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Speaker 1: He's like, oh, Okay, this is gonna be great. He said,

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Speaker 1: this is one of the things I want to talk

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Speaker 1: to the President about. Let's do something creative, Let's do

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Speaker 1: it fast. Let's put Americans back to work. Let's make

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Speaker 1: America better. It's common sense. Then, the governor of New York.

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Speaker 1: Now for all of you in states that elect governors

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Speaker 1: that don't tax and legislate and bureaucrat you to death

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Speaker 1: and regulate you on levels you never dreamed, he said, Yeah,

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Speaker 1: Let's overhaul Penn Station. Let's let's have a transformative reconfiguration

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Speaker 1: of LaGuardia Airport, which is always under renovation. Let's have

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Speaker 1: the revitalization of rail tunnels beneath the Hudson and expand

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Speaker 1: the Second Avenue subway. Governor, red state governors and voters

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Speaker 1: have no business paying for your dream wish list of

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Speaker 1: everybody paying for everything you want. All right, twenty five

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Speaker 1: now until the top of the hour, eight hundred and

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

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Speaker 1: part of the program team minus fifty eight minutes twenty

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Speaker 1: two seconds for this launch. Uh, you know, it's um.

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Speaker 1: You just gotta pray at moments like this. I know everybody,

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Speaker 1: all these engineers at NASA, all these guys are boeing,

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Speaker 1: all these guys at SPACEXY. They put their heart and

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Speaker 1: soul and brilliance behind all of this eighteen years in

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Speaker 1: the making and it's just hanging in the balance for

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Speaker 1: this one moment. And I have total faith, confidence, belief

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Speaker 1: in everybody, and it just is where not perfect people,

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Speaker 1: and you have the best of the best, and it

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Speaker 1: is Uh, you know, these these astronauts are amazing. Everybody

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Speaker 1: involved in this is amazing, and I just want to

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Speaker 1: see a successful launch. I hope it goes off today.

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Speaker 1: What are the odds? Now? Anyone get an update? Is

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Speaker 1: it's still fifty Yeah, we're still a fifty fifty. And

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Speaker 1: I was talking to our good friend, former Congressman Jim Bridenstein,

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Speaker 1: and guy, the guy's a class act. And he's over there,

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Speaker 1: he's the administrator now of of NASA, and I was

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Speaker 1: talking to his team and they're all there on the

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Speaker 1: ground and obviously everybody's locked and loaded as we get ready,

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Speaker 1: because you know Potus is on his way with the

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Speaker 1: first lady and they're getting ready. They're all going to

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Speaker 1: be there together, you know, sort of prepping for this

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Speaker 1: big moment at four thirty three. So it's it's fifty fifty.

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Speaker 1: I can make a phone call to our our friend

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Speaker 1: Joe the Stardi and see what he thinks as well.

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Speaker 1: If you like him, great idea, ask him and give

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Speaker 1: up when you get it. Okay, I'll give h a a buza.

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Speaker 1: You know. Uh, this just phries me Cuomo now asking

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Speaker 1: uh he wants Now. You got to remember here, all

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Speaker 1: these other states, read states, most of them they elect

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Speaker 1: politicians that balance their budgets. They elect politicians that fund

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Speaker 1: their pensions. They live within their means. If they don't,

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Speaker 1: they quickly make up the losses or make adjustments and cuts.

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Speaker 1: We have now spent three trillion dollars on coronavirus relief,

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Speaker 1: and I would argue that we really didn't have a

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Speaker 1: choice because they were projecting as many as two and

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Speaker 1: a half million Americans can die from this. Now were

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Speaker 1: they right? Were they wrong? It doesn't matter. That's what

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Speaker 1: we were being told. And you make decisions based on

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Speaker 1: the knowledge you have at any given moment, and China

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Speaker 1: lied to us the whole time. Also, that was another

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Speaker 1: big component in this. But now to say to the

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Speaker 1: American taxpayer in these states, and I say this against

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Speaker 1: my own best personal interests, because until I get the

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Speaker 1: hell out of here, and by the way, New York

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Speaker 1: doesn't want me here anyway, I is this will be

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Speaker 1: placed on the people in New York that are dumb

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Speaker 1: enough to stay here like me, because it's the second

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Speaker 1: highest tax state in the country, the number one state

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Speaker 1: for people exiting the state because of burdensome taxation, poor

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Speaker 1: government services, and the worst infrastructure. You can imagine. It's unbelievable.

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Speaker 1: Now Cuomo's going down to Washington. Yeah, we'd like we'd

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Speaker 1: like a transformational reconfiguration of LaGuardia. We would like Penn

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Speaker 1: Station overhauled, the revitalization of the rail tunnels beneath the

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Speaker 1: Hudson River. We'd like to expand the Second Avenue subway,

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Speaker 1: which has like been on hold for forty years. As

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Speaker 1: part of his wish list, I'm a red state. Citizens

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Speaker 1: that elect responsible politicians governor that is not happening, that

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Speaker 1: cannot happen. It's it's your fiscal mismanagement and abusive funds

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Speaker 1: and malfeasance economically that the people of New York vote

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Speaker 1: for that has caused this. You know, seven hundred and

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Speaker 1: fifty million dollars New York tax dollars that goes to

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Speaker 1: a what was it a solar company in upstate New

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Speaker 1: York when we could be fracking in New York and

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Speaker 1: doing what Pennsylvania did smartly, or six hundred million on

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Speaker 1: a micro chip company, or ninety forget nine hundred million

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Speaker 1: from Shirley McCray wife. That's still miss is what correct now?

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Speaker 1: Originally now that's just the state. Now the city is

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Speaker 1: now saying projecting that they're gonna be shy nearly nine

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Speaker 1: billion dollars, and UH is pleading and begging for aid.

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Speaker 1: I'm like, are you gotta be kidding me? Not, we're

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Speaker 1: nine billion dollars in the whole, Well, then cut your budgets.

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Speaker 1: Do you know? New York City has hundreds and hundreds

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Speaker 1: of teachers that do nothing and get paid because they

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Speaker 1: have been sideline because of whatever allegation might close the

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Speaker 1: cases out. It's unbelievable. You know, what, what are the

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Speaker 1: New York Health Commission to say, you know, I don't

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Speaker 1: give two rats asses about the police Department of people.

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Speaker 1: They prepared for nothing. You know. Now we find out

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Speaker 1: in New York, Governor Cuomo sign legislation granting hospit hospitals

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Speaker 1: and nursing home executives immunity from lawsuits related to coronavirus

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Speaker 1: last month. What And then we find out that Cuomo

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Speaker 1: got a million dollars from the Greater New York Hospital Area,

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Speaker 1: a lobbying group for hospital systems. Apparently that's now money

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Speaker 1: well spent. But I'm sorry, I don't think he'll make

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Speaker 1: that ultimate determination because that executive order, like the one

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Speaker 1: in New Jersey, another dumb decision. It was New York

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Speaker 1: March twenty fifth, It was March twenty ninth, New Jersey.

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Speaker 1: It was April the sixth, Pennsylvania. The dumbest decision of

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Speaker 1: force COVID patients in the nursing homes. This is, this

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Speaker 1: is unbelievable. And now, by the way, New York, their

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Speaker 1: health website is deleted. The governor's March twenty fifth executive

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Speaker 1: order that required nursing homes to take in COVID nineteen patients.

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Speaker 1: These people were screaming, we can't handle this. On top

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Speaker 1: of the fact you had the hospital beds manned by

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Speaker 1: the president, built by the president, three thousand of them,

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Speaker 1: they didn't use. Two thousand of them, they didn't. You

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Speaker 1: only use one hundred and eighty two of the one

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Speaker 1: thousand on the comfort and there were other they were

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Speaker 1: they were absolutely other places that they could have been sent.

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Speaker 1: New Jersey was told to use the jab At Center.

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Speaker 1: Same thing. But you give immunity to nursing home execs,

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Speaker 1: and they gave you, you know, a million dollars when

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Speaker 1: you needed it to run in a primary. Unbelievable. I'm

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Speaker 1: telling everybody around the country you want to listen to me,

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Speaker 1: Listen to me. Don't. This is not your problem New

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Speaker 1: York City. They're a sanctuary City's California a sanctuary state,

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Speaker 1: Gavin Newsom. That means free healthcare for illegal immigrants, paid

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Speaker 1: for courtesy of California taxpayers, New York City taxpayers. How

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Speaker 1: you stop there? How about you start rescinding and cutting

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Speaker 1: there five hundred dollar checks to illegal immigrants out in California.

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Speaker 1: You know, I'm look, if we don't get this country

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Speaker 1: up and running, it is going to be an unmitigated

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Speaker 1: disaster for the United States. Now, to the credit of

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Speaker 1: what thirty five or so states, they've got their act

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Speaker 1: together and they're now opening up. I gave you the

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Speaker 1: lessons that I learned. I know some of you disagree

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Speaker 1: with me on the masks. I don't care if you

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Speaker 1: disagree with me on the masks. Disagree with me. It's

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Speaker 1: not a Hannity mandate. I'm just telling you that. I

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Speaker 1: think one of the reasons that clerks and cashiers in

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Speaker 1: these grocery stores that I went into every week and

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Speaker 1: my local Right Aid pharmacy, the fact they had Matt

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Speaker 1: I think that protected them. Yes, I apologize for the interruption,

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Speaker 1: but our president is speaking right now at the SpaceX launch.

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Speaker 1: Would you like to go to it T minus fifty

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Speaker 1: minutes and twenty seconds, Yes, let's listens. Incredible a very

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Speaker 1: short period of time. We came here three and a

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Speaker 1: half years ago is almost a ghost down now. It's

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Speaker 1: to have a one place in the world for what

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Speaker 1: we're doing. So we're were prouder. Good luck, God be

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Speaker 1: with you. It's it's a dangerous becausiness, but they're the

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Speaker 1: best there is, so we just want them to be safe. Well,

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Speaker 1: I think it's very important militarily too. We have space force,

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Speaker 1: and from a military offensive and defensive standpoint, we're learning

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Speaker 1: a lot. We have the most powerful rockets now by far,

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Speaker 1: we have the best in the world. We have the

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Speaker 1: most brilliant people in the world. They're all right here.

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Speaker 1: So it's an honor to be associated. I want to

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Speaker 1: thank Vice President and Karen, Thank you very much to Jomp,

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Speaker 1: you too. And then they've left. They weren't long and hard,

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Speaker 1: and she was by his side all the way. We

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Speaker 1: can say that's correct by or I'll can get big trouble.

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Speaker 1: So I want to thank good Vice President of character test.

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Speaker 1: Very sad event, very very sad, sad event. I'm gonna

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Speaker 1: look at it and we're gonna get a report tomorrow

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Speaker 1: when we get back, and we're gonna get a very

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Speaker 1: full report. Very sad today. Thank you very much as

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Speaker 1: the president. We're now t minus what forty They just

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Speaker 1: took it off the screen. I missed it anyway within

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Speaker 1: the hour. Um now where it's the one hour countdown,

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Speaker 1: job is starting is on the line. Joe, just give

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Speaker 1: me a very quick synopsis. Do they take off or no? Well,

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Speaker 1: I don't think there's gonna be anything in the area

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Speaker 1: in about forty five minutes. It looks like it's a

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Speaker 1: weak shower that's trying to cross toward cape. The cape

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Speaker 1: right now. The heavy stuff is offshore into the southeast,

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Speaker 1: and it looks like there's going to be a nice

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Speaker 1: little one to two hour period where they can shoot

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Speaker 1: this thing up if they want to. So on. So

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Speaker 1: you think it can happen an on time in other words,

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Speaker 1: in forty eight minutes, Yeah, Well, the thing is that

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Speaker 1: they have to make the final determination because wind is involved.

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Speaker 1: Also if they think that there's going to be some

426
00:26:11,920 --> 00:26:14,199
Speaker 1: wind shear and things like that that go on, you know,

427
00:26:14,280 --> 00:26:16,880
Speaker 1: that's that's something that goes on the airports. But right now,

428
00:26:16,920 --> 00:26:18,879
Speaker 1: if you look at the radar, if you're if you

429
00:26:19,040 --> 00:26:22,800
Speaker 1: intend on shooting off a rocket at thirty in the

430
00:26:22,840 --> 00:26:28,200
Speaker 1: afternoon in Florida in May, like this, the radar with

431
00:26:28,240 --> 00:26:30,560
Speaker 1: all this stuff moving off shore and to the south

432
00:26:30,640 --> 00:26:33,359
Speaker 1: and nothing up up wind from it is moving in

433
00:26:33,400 --> 00:26:36,160
Speaker 1: from the west southwest is the shower that is just

434
00:26:36,320 --> 00:26:39,240
Speaker 1: across the sound there from the cape, and it's weakening

435
00:26:39,280 --> 00:26:41,720
Speaker 1: as it comes toward the cape, and then there's nothing

436
00:26:41,800 --> 00:26:44,320
Speaker 1: until you get west of Orlando. Even though these things

437
00:26:44,320 --> 00:26:47,240
Speaker 1: can pop up pretty quickly, it looks pretty good job.

438
00:26:47,280 --> 00:26:50,560
Speaker 1: Bustardy WeatherBell dot com or official weather guy at the

439
00:26:50,560 --> 00:26:53,520
Speaker 1: Sean Hannity Show. Thank you. You know yesterday I told

440
00:26:53,560 --> 00:26:55,960
Speaker 1: you they studied the guy from Duke and Stamford and

441
00:26:56,359 --> 00:26:59,800
Speaker 1: all these experts talking about, you know, as a result

442
00:26:59,840 --> 00:27:03,800
Speaker 1: of COVID nineteen and the shutdown. You know, they they've

443
00:27:03,840 --> 00:27:06,560
Speaker 1: come up with a cost analysis death analysis as a

444
00:27:06,600 --> 00:27:10,360
Speaker 1: result of all of this. Statistically, every ten million dollars

445
00:27:10,440 --> 00:27:14,520
Speaker 1: doctors and economists, and you can look all this up

446
00:27:14,560 --> 00:27:17,480
Speaker 1: yourself if you want. They have gone over the numbers

447
00:27:17,480 --> 00:27:19,760
Speaker 1: and they're saying every ten million to twenty four million

448
00:27:19,800 --> 00:27:23,200
Speaker 1: lost in income results in one additional death. And one

449
00:27:23,240 --> 00:27:25,959
Speaker 1: portion of this effect is through unemployment, which leads to

450
00:27:26,000 --> 00:27:29,720
Speaker 1: an increase in mortality of at least sixty percent, which

451
00:27:29,760 --> 00:27:34,000
Speaker 1: translates into seventy two hundred lives lost per month. Then

452
00:27:34,040 --> 00:27:37,639
Speaker 1: you move it out from there. Humans are not meant

453
00:27:37,640 --> 00:27:42,040
Speaker 1: to be alone. This study said, many Americans haven't seen

454
00:27:42,119 --> 00:27:45,960
Speaker 1: or touched another person in three months. USA Today calumnists,

455
00:27:46,000 --> 00:27:48,160
Speaker 1: I was in the stay at home until at safe camp,

456
00:27:48,160 --> 00:27:52,080
Speaker 1: but I can't take it anymore. Drug overdoses have climbed,

457
00:27:52,119 --> 00:27:57,359
Speaker 1: suicides have climbed, Homeless deaths have climbed, and it's you know,

458
00:27:57,440 --> 00:27:59,560
Speaker 1: these are scary times, but don't worry your world. Health

459
00:27:59,640 --> 00:28:02,520
Speaker 1: organisms is back to praising China. If we ever give

460
00:28:02,560 --> 00:28:05,320
Speaker 1: them a dime, I'm gonna have a meltdown. I'm gonna

461
00:28:05,320 --> 00:28:07,440
Speaker 1: go full on. I'm mad as well. I can't take

462
00:28:07,480 --> 00:28:12,280
Speaker 1: it anymore. A Nobel Prize winning biophysicist is warned of

463
00:28:12,359 --> 00:28:15,359
Speaker 1: this Corona shutdown becoming more deadly than the virus. On

464
00:28:15,440 --> 00:28:18,520
Speaker 1: top of the study I told you yesterday. This is

465
00:28:18,560 --> 00:28:23,240
Speaker 1: also Stanford University biophysicist Michael Levitt. No, this is the

466
00:28:23,280 --> 00:28:26,080
Speaker 1: one from me. A British American Israeli won the twenty

467
00:28:26,160 --> 00:28:29,520
Speaker 1: thirteen a Nobel Prize in chemistry, said he believed other

468
00:28:29,600 --> 00:28:32,480
Speaker 1: health precautions, like enforcing the use of masks, would have

469
00:28:32,520 --> 00:28:36,280
Speaker 1: been more effective in combating the pandemic. Look, I'm just

470
00:28:36,320 --> 00:28:38,760
Speaker 1: telling you anecdotally how I feel about the mask because

471
00:28:38,800 --> 00:28:41,440
Speaker 1: I saw these guys every week. Nobody in the stores

472
00:28:41,480 --> 00:28:45,719
Speaker 1: I went to got Corona, and they took precautions. We

473
00:28:45,760 --> 00:28:48,720
Speaker 1: can learn from that to protect grandma and grandpa. All right,

474
00:28:48,760 --> 00:28:52,400
Speaker 1: Mom and Dad, Now there's a fight over where we're

475
00:28:52,400 --> 00:28:56,680
Speaker 1: gonna move the conventions. I found this. This is amazing,

476
00:28:56,760 --> 00:29:02,800
Speaker 1: actually a win Vegas hotel. General Hotel operations officers said

477
00:29:03,520 --> 00:29:07,080
Speaker 1: that they're looking to reopen in Vegas, and the markups

478
00:29:07,120 --> 00:29:10,320
Speaker 1: I've seen fascinate me because it shows American brilliance and

479
00:29:10,440 --> 00:29:15,040
Speaker 1: innovation once again. They'll have those non invasive thermal temperature scans,

480
00:29:15,200 --> 00:29:17,040
Speaker 1: the ones I've been telling you about. No guests with

481
00:29:17,120 --> 00:29:19,360
Speaker 1: a temperature of one hundred point four or more will

482
00:29:19,400 --> 00:29:23,560
Speaker 1: be allowed in the resort. All employees face coverings, complementary

483
00:29:23,760 --> 00:29:29,080
Speaker 1: guest coverings, three hundred hand sanitizer stations throughout the resort,

484
00:29:29,120 --> 00:29:32,120
Speaker 1: a team of cleaning professionals and doing this at Fox

485
00:29:32,160 --> 00:29:34,800
Speaker 1: News and at radio every day. We have anti virals

486
00:29:34,840 --> 00:29:39,440
Speaker 1: sprayed in our control rooms daily and so far, God,

487
00:29:39,600 --> 00:29:44,200
Speaker 1: thank god. It's it's you know, working. The President now

488
00:29:44,280 --> 00:29:48,360
Speaker 1: reviewing putting a halt to foreign work inflow so we

489
00:29:48,360 --> 00:29:51,960
Speaker 1: can get Americans back to work. Another downside of this

490
00:29:52,080 --> 00:29:55,200
Speaker 1: grand theft. Auto car robberies are up sixty three percent

491
00:29:55,240 --> 00:29:59,080
Speaker 1: in New York City, seventeen percent in Los Angeles. The

492
00:29:59,240 --> 00:30:02,920
Speaker 1: Guardian head line Andrew Cuomo's no hero. He's to blame

493
00:30:02,960 --> 00:30:07,080
Speaker 1: for New York's coronavirus catastrophe. What does he do? Blame Trump?

494
00:30:07,440 --> 00:30:11,520
Speaker 1: Of course, Now the Georgia governor and the Florida governors

495
00:30:11,520 --> 00:30:14,160
Speaker 1: are fighting to host a convention. If the Democratic North

496
00:30:14,200 --> 00:30:17,520
Speaker 1: Carolina governor can't promise the President that they're going to

497
00:30:17,560 --> 00:30:19,680
Speaker 1: be able to have a crowd, and I don't blame him. Now,

498
00:30:19,680 --> 00:30:21,440
Speaker 1: there's other ways to do it. You can do it outside.

499
00:30:21,680 --> 00:30:24,040
Speaker 1: Put people in masks. I don't care if I can

500
00:30:24,040 --> 00:30:26,440
Speaker 1: go to a baseball or football game. I don't care.

501
00:30:26,680 --> 00:30:30,320
Speaker 1: I'm tired of arguing about it. I'm all in for

502
00:30:30,360 --> 00:30:34,720
Speaker 1: that because it's only temporary. It's better than the alternative,

503
00:30:34,760 --> 00:30:37,280
Speaker 1: which is sitting home. I'm sick of it. I'm sure

504
00:30:37,320 --> 00:30:41,120
Speaker 1: many of you are. Also. There's dopey shutdown. Whitmer in

505
00:30:41,200 --> 00:30:44,960
Speaker 1: Michigan has extended another stay at home order now, And

506
00:30:45,040 --> 00:30:48,200
Speaker 1: that's another thing. If these states are unwilling to open

507
00:30:48,320 --> 00:30:51,120
Speaker 1: safely like the thirty five other states, don't ask the

508
00:30:51,160 --> 00:30:55,120
Speaker 1: American taxpayers to pay for it. In Miami, they're hard

509
00:30:55,200 --> 00:30:57,720
Speaker 1: Rock Stadium is morphing into a trive in theater. I

510
00:30:57,720 --> 00:31:00,640
Speaker 1: didn't think that was funny. Oh, and the governor of

511
00:31:00,720 --> 00:31:04,360
Speaker 1: Michigan is lying through her teeth. Ha. My husband, it

512
00:31:04,400 --> 00:31:06,520
Speaker 1: was a joke, ha ha. I didn't think it was

513
00:31:06,560 --> 00:31:09,240
Speaker 1: funny though. No, it was a cover up of her

514
00:31:09,320 --> 00:31:12,520
Speaker 1: husband's looking for special treatment because his wife's the governor.

515
00:31:13,000 --> 00:31:17,080
Speaker 1: It's like Northam, you know, mandating mass but gets caught

516
00:31:17,160 --> 00:31:24,280
Speaker 1: without one. Unbelievable. Such hypocrites, all right, Leonard skinnerd's simple man.

517
00:31:24,480 --> 00:31:27,440
Speaker 1: It can only mean one thing, and that means all things.

518
00:31:27,440 --> 00:31:31,640
Speaker 1: Bill O'Reilly Bill O'Reilly dot com T minus twenty six

519
00:31:32,200 --> 00:31:37,560
Speaker 1: minutes and well three two one twenty six minutes, mister O'Reilly,

520
00:31:37,640 --> 00:31:41,480
Speaker 1: simple man, sir, how are you trying not to complicate things? Annie?

521
00:31:41,600 --> 00:31:44,120
Speaker 1: How are you doing? Man? I'm good? You know, I

522
00:31:44,480 --> 00:31:47,520
Speaker 1: was revved up about this, this launch as I am

523
00:31:47,600 --> 00:31:52,840
Speaker 1: the space X, this uh public private partnership Boeing, NASA,

524
00:31:52,880 --> 00:31:57,720
Speaker 1: Elon Musk amazing. You know, I just I love the

525
00:31:57,800 --> 00:32:01,960
Speaker 1: idea of America doing great things. Well, I really got

526
00:32:02,000 --> 00:32:04,800
Speaker 1: excited when I heard that they were gonna put the

527
00:32:04,880 --> 00:32:10,480
Speaker 1: prime time lineup of CNN on the stop built built Bill.

528
00:32:10,560 --> 00:32:12,280
Speaker 1: If you're gonna get in trouble, you have your own

529
00:32:12,320 --> 00:32:15,280
Speaker 1: show to get in trouble. What do you say? You know,

530
00:32:15,360 --> 00:32:18,640
Speaker 1: there's always with you complications because you're not a simple man.

531
00:32:18,680 --> 00:32:21,760
Speaker 1: But go ahead, come on, now, that's just a little jest.

532
00:32:21,880 --> 00:32:26,800
Speaker 1: They hoted that over there. I'm sure it just you know,

533
00:32:26,880 --> 00:32:31,400
Speaker 1: and it's always scary. I mean, we watched the Challenger,

534
00:32:32,000 --> 00:32:35,959
Speaker 1: but I have such faith. I mean, we've done so much.

535
00:32:36,240 --> 00:32:38,520
Speaker 1: You know, who would ever look at the moon? Bill? O'Reilly?

536
00:32:38,720 --> 00:32:41,280
Speaker 1: This is a simple concept. Do you look at the

537
00:32:41,320 --> 00:32:44,320
Speaker 1: moon on a really clear night, and if you look

538
00:32:44,360 --> 00:32:46,640
Speaker 1: through a telescope it I'm sure you've done this. You

539
00:32:46,720 --> 00:32:49,200
Speaker 1: see the craters in the moon, and then you can

540
00:32:49,240 --> 00:32:52,160
Speaker 1: see that red planet Mars, and the rover landed there,

541
00:32:52,160 --> 00:32:54,480
Speaker 1: and the other rovers landed there. And the fact that

542
00:32:54,800 --> 00:32:58,480
Speaker 1: some guys, a bunch of human beings, thought we're gonna

543
00:32:58,520 --> 00:33:00,480
Speaker 1: not only go there, we're gonna land in there, We're

544
00:33:00,480 --> 00:33:03,760
Speaker 1: gonna walk around and then we're gonna come home. And

545
00:33:03,840 --> 00:33:06,280
Speaker 1: they did it again and again, and now we're going,

546
00:33:06,520 --> 00:33:10,800
Speaker 1: you know, to the space station. Listen, American technology is

547
00:33:10,920 --> 00:33:16,560
Speaker 1: obviously advanced the state of mankind. Look at all adope

548
00:33:16,600 --> 00:33:19,160
Speaker 1: machines we have now, and all the things we can

549
00:33:19,240 --> 00:33:21,560
Speaker 1: do would have been unheard of twenty years ago. The

550
00:33:21,600 --> 00:33:26,440
Speaker 1: Wape machines. Do you mean like artificial intelligence? Yeah, I mean, look,

551
00:33:26,880 --> 00:33:31,080
Speaker 1: I understand that probably in another twenty years, we're not

552
00:33:31,120 --> 00:33:32,800
Speaker 1: even gonna be here. It's just going to be the

553
00:33:33,480 --> 00:33:37,840
Speaker 1: robots taken over. But that's the benefit that you do

554
00:33:37,880 --> 00:33:42,480
Speaker 1: these things and then you discover other things from the exploration,

555
00:33:42,760 --> 00:33:46,640
Speaker 1: and you know, we do it. The Russians are pretty good.

556
00:33:46,640 --> 00:33:49,080
Speaker 1: You got to give them that. They're pretty good at it,

557
00:33:50,040 --> 00:33:51,720
Speaker 1: but I think we're the best at it. We want

558
00:33:51,720 --> 00:33:55,320
Speaker 1: to be chauvinistic today and certainly say prayers for everybody involved.

559
00:33:56,200 --> 00:33:58,600
Speaker 1: I agree on the prayer part. This is eighteen years

560
00:33:58,600 --> 00:34:01,360
Speaker 1: in the making. Long humans to space. Now, you know

561
00:34:01,400 --> 00:34:04,280
Speaker 1: what that means, O'Riley, Guys like us. You know, if

562
00:34:04,320 --> 00:34:09,359
Speaker 1: the if the Communist you know, the Bernie Biden, you

563
00:34:09,400 --> 00:34:12,600
Speaker 1: know Bolsheviks ever take over the country, they're gonna probably

564
00:34:12,680 --> 00:34:15,640
Speaker 1: launch us into space with no chance of ever coming back.

565
00:34:16,200 --> 00:34:19,200
Speaker 1: That's right. We're gonna be in one of those spacecrafts

566
00:34:19,239 --> 00:34:24,800
Speaker 1: that just kind of wanders, doesn't floating in space. Remember

567
00:34:24,840 --> 00:34:26,359
Speaker 1: the show when we were growing up, Now, this old

568
00:34:26,400 --> 00:34:29,759
Speaker 1: Agent is lost in space. I never watched that choke

569
00:34:29,760 --> 00:34:31,600
Speaker 1: because it didn't like a little kid on it. I

570
00:34:31,600 --> 00:34:34,480
Speaker 1: thought he was, you know, so, oh my gosh, you

571
00:34:34,760 --> 00:34:37,880
Speaker 1: lockheart was in it, and I know what happened. But

572
00:34:38,000 --> 00:34:40,279
Speaker 1: you know, there's no state income tax on the moon,

573
00:34:40,440 --> 00:34:44,080
Speaker 1: so that well, hang on, hang on, Cuomo will find

574
00:34:44,120 --> 00:34:49,520
Speaker 1: the Cuomo's TAXI can you believe that he's taxing the

575
00:34:49,600 --> 00:34:52,880
Speaker 1: healthcare workers from the rest of the country that flew

576
00:34:52,960 --> 00:34:56,799
Speaker 1: into the epicenter of this pandemic to help out New

577
00:34:56,880 --> 00:35:00,359
Speaker 1: York in his hour of need. He's slapping New York

578
00:35:00,400 --> 00:35:04,520
Speaker 1: City state tax on them. I found out something about

579
00:35:04,560 --> 00:35:06,480
Speaker 1: Cuomo today. I don't know if you know this or not.

580
00:35:06,800 --> 00:35:09,439
Speaker 1: Are you ready? Go ahead? All right? So he goes

581
00:35:09,480 --> 00:35:13,080
Speaker 1: down to DC to talk with Trump, right, and it's

582
00:35:13,080 --> 00:35:15,440
Speaker 1: a happy meeting in the sense that neither of them

583
00:35:15,480 --> 00:35:17,960
Speaker 1: are going to harpoon the other. I think there's been

584
00:35:18,000 --> 00:35:21,120
Speaker 1: a deal made, a silent deal. Look, you lay off me,

585
00:35:21,160 --> 00:35:23,640
Speaker 1: I'll lay a few. But the reason that Cuomo went

586
00:35:23,680 --> 00:35:26,280
Speaker 1: down is that he wants federal money for the tunnel,

587
00:35:26,280 --> 00:35:29,920
Speaker 1: the train tunnel they need between Manhattan and New Jersey,

588
00:35:30,080 --> 00:35:32,880
Speaker 1: and he also wants federal money for the rapid transit

589
00:35:32,920 --> 00:35:35,319
Speaker 1: he needs to Luguardia Airport, a little kind of like

590
00:35:35,360 --> 00:35:38,360
Speaker 1: a space car that would take people from Manhattan to LaGuardia.

591
00:35:38,640 --> 00:35:40,960
Speaker 1: He can't do it because the State of New York

592
00:35:41,000 --> 00:35:45,000
Speaker 1: owes six billion dollars and they can't pay it. So

593
00:35:45,040 --> 00:35:46,840
Speaker 1: he goes down and he wants Trump to do this,

594
00:35:46,920 --> 00:35:50,600
Speaker 1: and Trump may because Trump wants these infrastructure projects put

595
00:35:50,600 --> 00:35:53,360
Speaker 1: people back to work. So both have a common interest.

596
00:35:53,719 --> 00:35:56,560
Speaker 1: But in the process of researching this, I came across

597
00:35:56,600 --> 00:36:02,520
Speaker 1: a pretty startling situation. You know, fifty six hundred elderly

598
00:36:02,560 --> 00:36:05,560
Speaker 1: people have died in New York State from COVID in

599
00:36:05,880 --> 00:36:10,480
Speaker 1: nursing homes. As you also know and have reported, the

600
00:36:10,520 --> 00:36:14,560
Speaker 1: reason that happened was that Albany ordered those senior citizens

601
00:36:14,600 --> 00:36:18,439
Speaker 1: to go back to their nursing homes knowing no, no, no.

602
00:36:18,480 --> 00:36:22,480
Speaker 1: It was Cuomo's executive order. And by the way, the

603
00:36:22,520 --> 00:36:26,440
Speaker 1: New York Health Website bill deleted the order. It's in

604
00:36:26,480 --> 00:36:30,680
Speaker 1: their minds. It doesn't exist now. Okay, So the State

605
00:36:30,680 --> 00:36:33,080
Speaker 1: of New York and the governor ordered the people back

606
00:36:33,400 --> 00:36:36,200
Speaker 1: to the nursing home who had COVID and they infected

607
00:36:36,200 --> 00:36:39,920
Speaker 1: other people. Fifty six hundred dead. In the new state

608
00:36:39,960 --> 00:36:44,480
Speaker 1: budget of New York, very secretly injected by the governor

609
00:36:44,640 --> 00:36:51,000
Speaker 1: by Cuomo, is the clause you cannot sue the executives

610
00:36:51,000 --> 00:36:55,120
Speaker 1: and their companies who run the nursing homes. Did you

611
00:36:55,160 --> 00:37:00,080
Speaker 1: know that? And Bill, the very same group donated one

612
00:37:00,200 --> 00:37:06,880
Speaker 1: million dollars to Cuomo for his twenty eighteen primary, The

613
00:37:07,000 --> 00:37:11,120
Speaker 1: Greater New York Hospital Association, lobbying group for hospital systems

614
00:37:11,120 --> 00:37:14,080
Speaker 1: and some of which are nursing homeowners. They donated to

615
00:37:14,160 --> 00:37:16,719
Speaker 1: him a million dollars. They inserted it in the budget bill.

616
00:37:17,120 --> 00:37:20,160
Speaker 1: And by the way, this is not going to stand litigation.

617
00:37:20,560 --> 00:37:24,480
Speaker 1: They're not that will not hold because anyway, and you're

618
00:37:24,560 --> 00:37:26,920
Speaker 1: way ahead of me, because that's what I was going

619
00:37:26,960 --> 00:37:31,200
Speaker 1: to say. So throughout his whole career, Andrew Cuomo is

620
00:37:31,239 --> 00:37:34,920
Speaker 1: a very articulate guy, and he shouldn't underestimate him if

621
00:37:34,960 --> 00:37:38,360
Speaker 1: he does replace Biden as a candidate, which is possible.

622
00:37:40,440 --> 00:37:44,160
Speaker 1: He has done this kind of stuff. He has taken

623
00:37:44,440 --> 00:37:51,839
Speaker 1: donations to further his career in return for favors like this.

624
00:37:52,840 --> 00:37:56,600
Speaker 1: And if this were Donald Trump who did this. If

625
00:37:56,640 --> 00:37:59,480
Speaker 1: somebody gave Donald Trump a million dollars and then the

626
00:37:59,520 --> 00:38:03,839
Speaker 1: Trump organization bought a golf course from the guy who

627
00:38:03,840 --> 00:38:06,359
Speaker 1: gave him a million dollars, where do you think that

628
00:38:06,400 --> 00:38:10,520
Speaker 1: would be all right, But this story you've reported it,

629
00:38:10,600 --> 00:38:13,719
Speaker 1: I reported on Bill O'Reilly dot com. It'll never get

630
00:38:13,760 --> 00:38:17,400
Speaker 1: into the mainstream media. Now, the Guardian did do something

631
00:38:17,480 --> 00:38:21,600
Speaker 1: on it, but the Guardian is a you know, it's shaky.

632
00:38:21,960 --> 00:38:24,680
Speaker 1: So you know, what I'm trying to say is that

633
00:38:24,719 --> 00:38:27,279
Speaker 1: there's a lot of things going on right now in

634
00:38:27,320 --> 00:38:31,000
Speaker 1: America the people just not aware of because they're preoccupied

635
00:38:31,000 --> 00:38:35,400
Speaker 1: by COVID. Bill. Fully, if you look at the executive

636
00:38:35,480 --> 00:38:38,799
Speaker 1: order by Cuomok March twenty fifth, the executive order by

637
00:38:38,960 --> 00:38:43,200
Speaker 1: Murphy came on the twenty ninth, the executive order by

638
00:38:44,239 --> 00:38:47,600
Speaker 1: the Pennsylvania governor what's his name Wolf that came on

639
00:38:48,040 --> 00:38:51,719
Speaker 1: April sixth, Whitmer is even worse than all of them combined.

640
00:38:52,360 --> 00:38:55,920
Speaker 1: Shutdown Whitmer, she's now extending the shutdown forever. Your wish

641
00:38:55,960 --> 00:38:58,239
Speaker 1: list is right, but it's even bigger, Bill, because he's

642
00:38:58,280 --> 00:39:02,400
Speaker 1: now asking all think of all these red states that

643
00:39:02,520 --> 00:39:07,200
Speaker 1: elect fiscally responsible governors. Many of them don't have any

644
00:39:07,200 --> 00:39:09,960
Speaker 1: state income tax, like ten percent of New York and

645
00:39:10,080 --> 00:39:13,479
Speaker 1: three percent of New York City, and de Blasio wants

646
00:39:13,480 --> 00:39:19,959
Speaker 1: another nine million. He wants Penn Station overhauled, LaGuardia overhauled

647
00:39:20,200 --> 00:39:24,040
Speaker 1: the railways underneath the Hudson overhauled, the forty year project

648
00:39:24,080 --> 00:39:28,920
Speaker 1: to fix the Second Avenue subway overhauled. And those taxpayers

649
00:39:28,920 --> 00:39:33,520
Speaker 1: in red states that fund their pensions and balance their

650
00:39:33,560 --> 00:39:39,239
Speaker 1: budgets and elect fiscally responsible legislators and governors, they're not

651
00:39:39,360 --> 00:39:42,000
Speaker 1: paying for this bill. And by the way, my advice

652
00:39:42,040 --> 00:39:45,040
Speaker 1: to them is no hell no tell you senators and

653
00:39:45,120 --> 00:39:49,480
Speaker 1: congressman no. Yeah, I listen. If you look at compare

654
00:39:49,520 --> 00:39:52,640
Speaker 1: Florida in the last ten years or twenty ten to

655
00:39:52,760 --> 00:39:58,400
Speaker 1: twenty to New York. I mean, it's unbelievable, unbelievable the

656
00:39:59,120 --> 00:40:02,760
Speaker 1: inefficiency of New York compared to the efficiency of Florida

657
00:40:02,920 --> 00:40:08,480
Speaker 1: under Republican administrations. So I'll just give you one that

658
00:40:08,640 --> 00:40:15,320
Speaker 1: in Florida, they have increased spending by twenty eight billion

659
00:40:16,000 --> 00:40:21,520
Speaker 1: over ten years, okay, and their population has grown three million,

660
00:40:21,920 --> 00:40:27,160
Speaker 1: now more than New York. New York spending increased forty

661
00:40:27,200 --> 00:40:33,520
Speaker 1: three billion, and they lost population, and so it's fifteen

662
00:40:33,560 --> 00:40:38,840
Speaker 1: billion a year less in Florida. That's what you're saying,

663
00:40:39,239 --> 00:40:42,799
Speaker 1: is that Republican administrations that don't waste money and have

664
00:40:42,840 --> 00:40:45,719
Speaker 1: all of these programs that don't work. They're not going

665
00:40:45,800 --> 00:40:49,040
Speaker 1: to be sending money to California, New York and Illinois

666
00:40:49,120 --> 00:40:51,920
Speaker 1: to bail out these people. And remember one hundred and

667
00:40:51,920 --> 00:40:56,640
Speaker 1: thirty seven billion unfunded pensions in Illinois. Look at the

668
00:40:56,719 --> 00:40:59,600
Speaker 1: mayor of New York and his wife nine hundred million

669
00:40:59,600 --> 00:41:04,040
Speaker 1: dollars waste, fraud, abuse, the backle. Look what they did

670
00:41:04,080 --> 00:41:08,279
Speaker 1: in Albany seven hundred and fifty million dollars for a

671
00:41:09,040 --> 00:41:12,799
Speaker 1: what was this acro chip a company? Or I spend

672
00:41:12,880 --> 00:41:16,080
Speaker 1: six million on its a solar panel project, seven hundred

673
00:41:16,080 --> 00:41:20,200
Speaker 1: and fifty million, six hundred million on a microchip project.

674
00:41:20,360 --> 00:41:22,920
Speaker 1: Both of them went belly up. Ninety million on a

675
00:41:23,000 --> 00:41:26,719
Speaker 1: lightbulb company that went belly up. So I don't think

676
00:41:28,520 --> 00:41:32,360
Speaker 1: the liberal mindset is because it's government money, it doesn't matter.

677
00:41:32,920 --> 00:41:36,719
Speaker 1: And that's the big difference between conservatives and liberals. Can

678
00:41:36,760 --> 00:41:38,399
Speaker 1: we get the Biden for a minute. Did you see

679
00:41:38,400 --> 00:41:41,520
Speaker 1: the CNN interview on Biden? I did? Can I ask

680
00:41:41,560 --> 00:41:43,600
Speaker 1: you one more question about New York? Though, by the way,

681
00:41:43,640 --> 00:41:49,640
Speaker 1: it's team minus fifteen minutes and fifty seconds. Everybody I

682
00:41:49,719 --> 00:41:52,960
Speaker 1: know now business is a figured out teleworking works. You

683
00:41:53,000 --> 00:41:56,800
Speaker 1: don't have to pay big prices for rental space, office space.

684
00:41:57,239 --> 00:41:59,320
Speaker 1: You live in a closet that cost your three grand

685
00:41:59,320 --> 00:42:02,000
Speaker 1: in New York and people are gonna leave, and people

686
00:42:02,040 --> 00:42:04,440
Speaker 1: are gonna leave New York. Does New York become like Detroit?

687
00:42:05,920 --> 00:42:08,680
Speaker 1: Not that bad because you have that international money coming in.

688
00:42:08,719 --> 00:42:10,759
Speaker 1: I wrote a column on Bill O'Reilly dot com. It's

689
00:42:10,800 --> 00:42:13,960
Speaker 1: posted Escape from New York off the nineteen eighty one

690
00:42:14,040 --> 00:42:19,719
Speaker 1: movie Start when they dropped Kurt Russell into New York

691
00:42:19,760 --> 00:42:22,319
Speaker 1: to find the president has been kidnapped. It's a great movie,

692
00:42:22,400 --> 00:42:25,520
Speaker 1: tech movie. But New York is gonna their real estate

693
00:42:25,560 --> 00:42:29,600
Speaker 1: values are gonna plummet. Companies and corporations will move out,

694
00:42:29,640 --> 00:42:32,120
Speaker 1: so will people. They lost one hundred and eighty one

695
00:42:32,120 --> 00:42:35,880
Speaker 1: thousand people new York did last year. I think that'll

696
00:42:35,960 --> 00:42:40,239
Speaker 1: double in twenty twenty one. There'll be an exodus out.

697
00:42:41,360 --> 00:42:45,520
Speaker 1: Power will go down, but because of the international finance,

698
00:42:46,040 --> 00:42:49,080
Speaker 1: they won't go. They won't lose half the population like Detroit.

699
00:42:49,160 --> 00:42:52,239
Speaker 1: All right, personal question, and you don't have to answer

700
00:42:52,239 --> 00:42:54,400
Speaker 1: if you don't. One last time you were on I

701
00:42:54,440 --> 00:42:57,319
Speaker 1: said Bill, because every year my accountant says the same thing.

702
00:42:57,320 --> 00:43:00,719
Speaker 1: Whatever you do, don't die in New York. As a

703
00:43:00,719 --> 00:43:04,800
Speaker 1: New York resident. Now, I say why because there's another

704
00:43:05,040 --> 00:43:07,440
Speaker 1: ten percent death tax in New York. There's a New

705
00:43:07,520 --> 00:43:11,239
Speaker 1: York City death tax. I mean, it's unbelievable. And I

706
00:43:11,360 --> 00:43:13,720
Speaker 1: and you, I asked you, why don't you go to Florida?

707
00:43:13,920 --> 00:43:16,640
Speaker 1: And your aunts was I'm loyal? And I'm I'm Are

708
00:43:16,640 --> 00:43:21,360
Speaker 1: they loyal to you? No? Um who You'm being loyal too?

709
00:43:22,560 --> 00:43:26,480
Speaker 1: Friends of family loyal? Bring him to Florida with you.

710
00:43:26,480 --> 00:43:32,080
Speaker 1: You're a simply rich guy. Florida a big covered wagon down.

711
00:43:34,800 --> 00:43:37,879
Speaker 1: You know, everybody can't go. Oh Riley, you get out

712
00:43:37,880 --> 00:43:40,239
Speaker 1: a jet, you pack the jet boom. You've got a cat.

713
00:43:40,280 --> 00:43:43,240
Speaker 1: I'll get you a camper, I'll get you a concert,

714
00:43:43,320 --> 00:43:47,680
Speaker 1: bust anything. All right. They just scrubbed as we were

715
00:43:47,680 --> 00:43:51,120
Speaker 1: going to break the launch SpaceX. But you know what

716
00:43:51,160 --> 00:43:53,840
Speaker 1: that means to me, means that all the right decisions

717
00:43:53,880 --> 00:43:56,000
Speaker 1: are being made. Bill O'Reilly Bill Oreilly dot com on

718
00:43:56,160 --> 00:43:59,200
Speaker 1: things O'Reilly, Uh, simple man, mister O'Reilly. All right, you

719
00:43:59,239 --> 00:44:01,960
Speaker 1: wanted to talk about Biden. We didn't have time last segment.

720
00:44:02,120 --> 00:44:06,160
Speaker 1: Your thoughts on this. He's on CNN last night. Very

721
00:44:06,160 --> 00:44:10,400
Speaker 1: simple question posed, if you were president, what would you

722
00:44:10,480 --> 00:44:15,920
Speaker 1: do differently to handle a pandemic. So mister Biden was

723
00:44:16,080 --> 00:44:19,359
Speaker 1: loose it. He had control over his words last night

724
00:44:20,880 --> 00:44:24,040
Speaker 1: killing Reagan. So I'm familiar with because when Ronald Reagan

725
00:44:24,120 --> 00:44:27,040
Speaker 1: got shot, he lost that ability for a little while,

726
00:44:27,239 --> 00:44:30,239
Speaker 1: got it back. So Biden could not or would not

727
00:44:30,280 --> 00:44:33,480
Speaker 1: answer that question. And I'm sitting there, going, what's going on?

728
00:44:34,200 --> 00:44:37,480
Speaker 1: I mean, you don't have anything that you would do differently?

729
00:44:37,480 --> 00:44:41,719
Speaker 1: He said, oh, I'd listened to the scientists, Like who

730
00:44:41,960 --> 00:44:44,000
Speaker 1: what it was that imply that Trump doesn't listen to

731
00:44:44,040 --> 00:44:47,160
Speaker 1: the scientists. What's fou Jian Bird's doing out there? I mean,

732
00:44:47,280 --> 00:44:51,640
Speaker 1: come on, by the way, walk, I'm sorry, go ahead. Well,

733
00:44:51,960 --> 00:44:54,960
Speaker 1: he didn't have anything, but he listened to the scientists.

734
00:44:55,080 --> 00:44:57,920
Speaker 1: That's what when they said, and this is where there

735
00:44:57,960 --> 00:45:00,960
Speaker 1: was no option here the country and it a shutdown.

736
00:45:01,440 --> 00:45:06,000
Speaker 1: The projections, which have all been wrong so far, were

737
00:45:06,000 --> 00:45:08,399
Speaker 1: two and a half million Americans were going to die, Bill,

738
00:45:08,719 --> 00:45:11,839
Speaker 1: that's what they told us. They got it wrong. China lied,

739
00:45:12,320 --> 00:45:15,200
Speaker 1: all the models were wrong. You know, Fauci, I love

740
00:45:15,280 --> 00:45:18,120
Speaker 1: the guy, but he was saying the risk is low

741
00:45:18,120 --> 00:45:20,719
Speaker 1: on February twenty ninth, and he was saying that you know,

742
00:45:20,800 --> 00:45:22,960
Speaker 1: you don't have to wear a mask like March tenth

743
00:45:22,960 --> 00:45:25,320
Speaker 1: and March ninth saying if you're young and healthy, you

744
00:45:25,320 --> 00:45:30,200
Speaker 1: can go on a cruise ship. Yeah, but that was

745
00:45:30,239 --> 00:45:33,719
Speaker 1: a cheat up for Biden to absolutely knock it out

746
00:45:33,760 --> 00:45:36,319
Speaker 1: of the park. Here's what I would do differently than

747
00:45:36,520 --> 00:45:40,760
Speaker 1: President Trump ABCD. He couldn't come up with one, Hannity,

748
00:45:41,040 --> 00:45:43,920
Speaker 1: do you want to know why? Because while they were

749
00:45:43,960 --> 00:45:47,000
Speaker 1: impeaching him, he put in the travel ban. This was

750
00:45:47,040 --> 00:45:50,520
Speaker 1: ten days after the first identified coronavirus case. Then the

751
00:45:50,640 --> 00:45:54,840
Speaker 1: quarantine first in over fifty years, then subsequent travel bans.

752
00:45:54,960 --> 00:45:59,239
Speaker 1: All during impeachment. They weren't talking about Corona. No nobody was.

753
00:46:00,560 --> 00:46:04,520
Speaker 1: I was you are the and and you would think

754
00:46:04,520 --> 00:46:06,959
Speaker 1: at the interview, where would jump in and go, mister

755
00:46:07,000 --> 00:46:09,040
Speaker 1: Weis Fraser, do you have one thing that you can

756
00:46:09,080 --> 00:46:14,479
Speaker 1: point to that you do differently? One thing? But no, no, no,

757
00:46:14,480 --> 00:46:17,800
Speaker 1: no way, no way. By the way, Bill, alright, you

758
00:46:17,840 --> 00:46:20,000
Speaker 1: don't mind me saying this. I know you think you're

759
00:46:20,000 --> 00:46:24,560
Speaker 1: a simple man. You're you're very complicated. You are so complicated.

760
00:46:25,560 --> 00:46:27,840
Speaker 1: If I used to watch the O'Riley factor, I'd have

761
00:46:27,880 --> 00:46:30,319
Speaker 1: to I'd have to figure out talking points says unlike

762
00:46:30,400 --> 00:46:35,040
Speaker 1: talking points can talk no talking points talking. That's Bill talking.

763
00:46:35,080 --> 00:46:37,239
Speaker 1: All right, Bill O'Reilly dot com, mister O'Riley, thank you.

764
00:46:37,280 --> 00:46:39,239
Speaker 1: We'll continue on the other side. Your calls coming up,

765
00:46:39,400 --> 00:46:41,080
Speaker 1: all right, twenty five to the top of the All right,

766
00:46:41,160 --> 00:46:43,800
Speaker 1: the NASSA SpaceX launch. What do we get down to?

767
00:46:43,880 --> 00:46:48,040
Speaker 1: Team minus thirteen twelve third team boss their team boss.

768
00:46:48,320 --> 00:46:51,000
Speaker 1: Uh and uh it was scrubbed for all the right

769
00:46:51,040 --> 00:46:54,000
Speaker 1: reasons whether uh, well it was lightning and the light

770
00:46:54,040 --> 00:46:57,800
Speaker 1: it's just too dangerous. You know, it's really funny. Um,

771
00:46:57,920 --> 00:47:00,840
Speaker 1: Kobe Bryant's one of the greatest path basketball players of

772
00:47:00,840 --> 00:47:04,840
Speaker 1: all time, right, I mean talent, I mean just amazing

773
00:47:05,600 --> 00:47:08,160
Speaker 1: and as you know somebody that you know, I love

774
00:47:08,239 --> 00:47:10,560
Speaker 1: flights so much, not as much as Neil Boortz, but

775
00:47:10,880 --> 00:47:13,440
Speaker 1: he has. I'd never want to fly, but I'm fascinated

776
00:47:13,520 --> 00:47:16,759
Speaker 1: by it all. And you know, you just see like

777
00:47:16,920 --> 00:47:20,480
Speaker 1: decisions that were made. You gotta always air on the

778
00:47:20,520 --> 00:47:24,560
Speaker 1: side of caution. And you know, I didn't like when

779
00:47:24,600 --> 00:47:28,080
Speaker 1: I had read that day sadly that the police helicopters

780
00:47:28,080 --> 00:47:30,520
Speaker 1: had been grounded. I'm like, why did they? Why did

781
00:47:30,760 --> 00:47:32,839
Speaker 1: I don't understand that part of it. And I know

782
00:47:32,880 --> 00:47:37,400
Speaker 1: there's avionics that that literally will steer and maneuver, in

783
00:47:37,400 --> 00:47:40,960
Speaker 1: this case a helicopter around terrain or mountains, even if

784
00:47:41,040 --> 00:47:44,560
Speaker 1: you if you don't see it, but they asked, I

785
00:47:44,560 --> 00:47:49,040
Speaker 1: think for a visual fly and the obviously cloud to

786
00:47:49,080 --> 00:47:52,280
Speaker 1: cover was low. It's just sad, and I just always

787
00:47:52,320 --> 00:47:54,720
Speaker 1: prefer air on the side of caution. If you aren't

788
00:47:54,719 --> 00:47:57,200
Speaker 1: gonna get anywhere too bad, that's the end of that.

789
00:47:58,280 --> 00:48:00,640
Speaker 1: And I don't know the circumstances, they're just it was tragic.

790
00:48:00,680 --> 00:48:03,480
Speaker 1: I just know that, you know, when you hear that

791
00:48:03,560 --> 00:48:08,359
Speaker 1: other people had made it a different decision, you wonder why, um,

792
00:48:08,880 --> 00:48:12,200
Speaker 1: and it ended in a tragedy. And I know that

793
00:48:12,239 --> 00:48:14,759
Speaker 1: there's happened some people on private aircraft and they'll like

794
00:48:14,800 --> 00:48:17,080
Speaker 1: be forcing pilots to make decisions they never want to

795
00:48:17,120 --> 00:48:19,600
Speaker 1: move make. And I'm like, that's not your area of expertise.

796
00:48:19,680 --> 00:48:23,960
Speaker 1: Go sit in the back, have a drink. And you know,

797
00:48:23,960 --> 00:48:27,600
Speaker 1: we've all been delayed on Tarmax for hours and hours

798
00:48:27,640 --> 00:48:30,239
Speaker 1: and hours and hours and it sucks, but you know what,

799
00:48:30,320 --> 00:48:34,560
Speaker 1: I'd rather get there safely. Back to the shutdown issue

800
00:48:34,560 --> 00:48:38,160
Speaker 1: for a second here, because there's a lot of information

801
00:48:38,760 --> 00:48:42,759
Speaker 1: that is very very important here and we better we

802
00:48:42,880 --> 00:48:45,920
Speaker 1: better start to understand the impact of all of this

803
00:48:46,040 --> 00:48:51,040
Speaker 1: with coronavirus on the entire country, because you know, we're

804
00:48:51,080 --> 00:48:54,200
Speaker 1: now seeing these studies that are scaring me, and that

805
00:48:54,400 --> 00:48:58,600
Speaker 1: is that the cure, the shutdown, you know, the leveling

806
00:48:58,960 --> 00:49:02,480
Speaker 1: and flattening of the curve and all this is now

807
00:49:02,600 --> 00:49:07,919
Speaker 1: getting worse. And Americans also, they're dying to get back

808
00:49:08,000 --> 00:49:11,000
Speaker 1: to living, which I don't blame them, now do I

809
00:49:11,400 --> 00:49:15,439
Speaker 1: do I think we could have done any better? I do.

810
00:49:15,760 --> 00:49:17,919
Speaker 1: I think we've got to learn the lessons of New York,

811
00:49:17,960 --> 00:49:23,359
Speaker 1: New Jersey, Pennsylvania and you know, shut down whitmer whose

812
00:49:23,400 --> 00:49:25,520
Speaker 1: husband wants the right to take only his boat out

813
00:49:25,880 --> 00:49:28,960
Speaker 1: while people can't cut their lawn. It's infuriating. And we

814
00:49:29,400 --> 00:49:32,520
Speaker 1: learned that when you the mobilization of the National Guard

815
00:49:32,600 --> 00:49:36,520
Speaker 1: in Florida, every state agency targeting the most vulnerable. That worked.

816
00:49:37,000 --> 00:49:39,000
Speaker 1: We learned from New York that we're in the stupid

817
00:49:39,040 --> 00:49:41,800
Speaker 1: masked work. You know, we've got to learn the lessons

818
00:49:41,800 --> 00:49:44,120
Speaker 1: of this so we can open up safely. We're now

819
00:49:44,200 --> 00:49:47,880
Speaker 1: seeing with a lot of people that you know, you

820
00:49:47,920 --> 00:49:51,799
Speaker 1: have one Nobel Prize winning biophysicist, as I was telling you,

821
00:49:52,160 --> 00:49:54,400
Speaker 1: this is you know, we told you about the story

822
00:49:54,480 --> 00:49:58,480
Speaker 1: yesterday in chemistry Michael Levitt, and you know, a British

823
00:49:58,480 --> 00:50:02,120
Speaker 1: American Israeli won the twenty thirteen Nobel Prize in chemistries

824
00:50:02,160 --> 00:50:07,000
Speaker 1: that he believed are other health precautions, like enforcing the

825
00:50:07,120 --> 00:50:09,719
Speaker 1: use of masks, would have been more effective in combating

826
00:50:09,719 --> 00:50:11,920
Speaker 1: the pandemic. All right, Well, we were predicting at the

827
00:50:11,960 --> 00:50:14,200
Speaker 1: time two and a half million people would die. I

828
00:50:14,239 --> 00:50:16,759
Speaker 1: think lockdown saved no lives. I think it may have

829
00:50:16,840 --> 00:50:20,359
Speaker 1: cost lives, he said. I'm not an epidemiologist, but he said,

830
00:50:20,360 --> 00:50:23,920
Speaker 1: there's no doubt that you can stop an epidemic that

831
00:50:23,960 --> 00:50:26,080
Speaker 1: you you know, there is no doubt you can stop

832
00:50:26,120 --> 00:50:29,520
Speaker 1: ademic with a lockdown. But it's a very blunt, very

833
00:50:29,640 --> 00:50:33,319
Speaker 1: medieval weapon, and the epidemic could have been stopped just

834
00:50:33,400 --> 00:50:37,840
Speaker 1: as effectively, you know, with other sensible measures, masks of

835
00:50:38,000 --> 00:50:41,320
Speaker 1: social distancing. You know, getting people to social distance is hard.

836
00:50:42,080 --> 00:50:44,640
Speaker 1: It's this is not easy. You know, I'm not saying.

837
00:50:45,120 --> 00:50:47,759
Speaker 1: You know, people thought I was being overly critical of

838
00:50:47,800 --> 00:50:51,479
Speaker 1: these kids in the pool over the weekend. I'm really not.

839
00:50:52,200 --> 00:50:55,600
Speaker 1: It's a natural craving to be around other people. Where

840
00:50:55,680 --> 00:50:59,440
Speaker 1: social creatures, we want to be around others you know,

841
00:50:59,640 --> 00:51:03,440
Speaker 1: not shaking hands to me is almost odd at this point.

842
00:51:03,880 --> 00:51:08,600
Speaker 1: Elbowing everybody. Um, and I have sharp elbows from obviously

843
00:51:08,640 --> 00:51:12,000
Speaker 1: all my martial arts training. But it's the moments I

844
00:51:12,000 --> 00:51:15,280
Speaker 1: thought I'd never hear you say you don't have sharp elbows, audience,

845
00:51:15,400 --> 00:51:17,759
Speaker 1: it's a very strange thing to say. Well, you asked

846
00:51:17,800 --> 00:51:20,920
Speaker 1: for sense about him. I throw a pretty mean elbow.

847
00:51:21,120 --> 00:51:24,759
Speaker 1: Now seven years in the making. Um, we know that

848
00:51:24,960 --> 00:51:28,759
Speaker 1: Governor Whittber's never ending lockdown, which he extended is now

849
00:51:29,280 --> 00:51:32,439
Speaker 1: now has left Michigan with the second highest unemployment rate

850
00:51:32,560 --> 00:51:36,680
Speaker 1: in the nation. As if Michigan financially hasn't suffered enough,

851
00:51:38,000 --> 00:51:42,280
Speaker 1: especially with these draconian measures. You can't cut the lawn

852
00:51:42,320 --> 00:51:45,200
Speaker 1: in your hustle or turf lawnmower. Are you kidding me?

853
00:51:45,960 --> 00:51:48,000
Speaker 1: But her husband's called, Oh it's a joke. No, it

854
00:51:48,040 --> 00:51:51,160
Speaker 1: wasn't a joke. You're lying. I don't believe one word

855
00:51:51,200 --> 00:51:57,560
Speaker 1: of that, not a single solitary word that she's saying. So, UM,

856
00:51:57,600 --> 00:52:00,359
Speaker 1: the good we do have some good news. We have

857
00:52:00,400 --> 00:52:04,400
Speaker 1: a poll out that seventy four percent of business small

858
00:52:04,520 --> 00:52:08,080
Speaker 1: businesses expect to fully recover. But that means twenty six

859
00:52:08,160 --> 00:52:11,680
Speaker 1: percent don't think we're going to recover. I'm most worried

860
00:52:11,840 --> 00:52:16,160
Speaker 1: about the restaurant business, bar business and places like that.

861
00:52:16,200 --> 00:52:19,560
Speaker 1: I'm not I do believe that we can open stadiums.

862
00:52:19,600 --> 00:52:22,160
Speaker 1: I won't reiterate my method of doing it, but I

863
00:52:22,160 --> 00:52:26,520
Speaker 1: think that's very doable. I've had Robert Craft on Hannity

864
00:52:26,640 --> 00:52:29,200
Speaker 1: last night, and Robert Craft was pretty clear about all

865
00:52:29,239 --> 00:52:34,319
Speaker 1: of this. Economic experts folk parties predict the economy will

866
00:52:34,320 --> 00:52:37,520
Speaker 1: be booming by election day. Anyway, back to the poll

867
00:52:37,560 --> 00:52:41,160
Speaker 1: first though, in the latest sign of economic resiliency. Now,

868
00:52:41,160 --> 00:52:44,319
Speaker 1: when we get these April May June numbers will be

869
00:52:44,360 --> 00:52:47,520
Speaker 1: a disaster. I'm just preparing you it's not gonna be

870
00:52:47,640 --> 00:52:53,360
Speaker 1: fun anyway. But it's But now three quarters of small

871
00:52:53,400 --> 00:52:55,759
Speaker 1: firms say they're going to be back to business as

872
00:52:55,840 --> 00:52:59,200
Speaker 1: usual within six months. Now that the stay at home

873
00:52:59,280 --> 00:53:01,759
Speaker 1: rules are being lifted and a lot of people are

874
00:53:01,880 --> 00:53:05,160
Speaker 1: using again the masks, etc. This is only going to

875
00:53:05,239 --> 00:53:08,839
Speaker 1: be This is very short term. It's not going to

876
00:53:08,880 --> 00:53:11,440
Speaker 1: be a new normal. I know many are concerned that

877
00:53:11,520 --> 00:53:13,959
Speaker 1: this is going to be the new America. I don't

878
00:53:14,000 --> 00:53:16,239
Speaker 1: believe that that's going to happen, because I don't think

879
00:53:16,280 --> 00:53:21,640
Speaker 1: Americans would cooperate with it. Number one now the Washington Examiner.

880
00:53:22,040 --> 00:53:26,040
Speaker 1: Larry Cutlow, Director National Economic Council. He was saying, I

881
00:53:26,040 --> 00:53:27,920
Speaker 1: think the third quarter is going to be a huge

882
00:53:27,920 --> 00:53:31,120
Speaker 1: growth quarter. We agree with the Congressional Budget Office. The

883
00:53:31,200 --> 00:53:36,399
Speaker 1: fourth quarter, which is October November December, the whole second half,

884
00:53:36,440 --> 00:53:39,319
Speaker 1: we're going to see tremendous growth that will spill over

885
00:53:39,360 --> 00:53:42,440
Speaker 1: into twenty twenty one. That's all true. I mean, we

886
00:53:42,480 --> 00:53:46,480
Speaker 1: could easily have one to two million jobs created a

887
00:53:46,560 --> 00:53:51,000
Speaker 1: month in the four reports before November, and by the way,

888
00:53:51,000 --> 00:53:55,479
Speaker 1: that's from Obama economic advisor Jason Furman. And then toward

889
00:53:55,520 --> 00:53:58,080
Speaker 1: the end of October, we'll get GDP for the third

890
00:53:58,160 --> 00:54:01,160
Speaker 1: quarter at an annualized rate, and it could be double

891
00:54:01,239 --> 00:54:04,560
Speaker 1: digit positive economic growth I would predict as of today.

892
00:54:05,360 --> 00:54:09,799
Speaker 1: And that's why opening stadiums and having concerts and preparing

893
00:54:09,920 --> 00:54:13,279
Speaker 1: and getting the If the Major League Baseball Players Association

894
00:54:13,360 --> 00:54:16,279
Speaker 1: could sit at the table and make a deal that

895
00:54:16,320 --> 00:54:19,720
Speaker 1: benefits everybody, we can get people back in the stands.

896
00:54:21,280 --> 00:54:23,359
Speaker 1: But I think this guy Furman, who was the top

897
00:54:23,400 --> 00:54:27,439
Speaker 1: economist in Obama's years, now a Havid professor. He said

898
00:54:27,480 --> 00:54:32,160
Speaker 1: to a group of policymakers last month, we're about to

899
00:54:32,160 --> 00:54:34,719
Speaker 1: see the best economic data we have seen in the

900
00:54:34,800 --> 00:54:37,400
Speaker 1: history of this country. Well, we're about to see the

901
00:54:37,480 --> 00:54:41,360
Speaker 1: real worst economic data when we get the numbers in

902
00:54:41,440 --> 00:54:44,720
Speaker 1: July for the second quarter, which is April, May, June.

903
00:54:45,400 --> 00:54:48,919
Speaker 1: And he said, my big worry, he says, think about this.

904
00:54:48,920 --> 00:54:53,120
Speaker 1: This is my big worry that the recovery it's going

905
00:54:53,160 --> 00:54:57,040
Speaker 1: to be a dramatic recovery among top members. And he says,

906
00:54:56,800 --> 00:55:01,239
Speaker 1: it's that that's a very extremely high potential. And his

907
00:55:01,400 --> 00:55:05,120
Speaker 1: theory is the current shutdown is closer to those who

908
00:55:05,160 --> 00:55:08,120
Speaker 1: accompany and natural disaster drop offs tend to be sharp

909
00:55:08,200 --> 00:55:11,400
Speaker 1: but followed by sharp rebounds. Given how many people were furloughed,

910
00:55:11,680 --> 00:55:13,759
Speaker 1: how many business has closed, you can get a big

911
00:55:13,840 --> 00:55:16,440
Speaker 1: jump out of that. It'll look like the beginning of

912
00:55:16,480 --> 00:55:20,400
Speaker 1: the v style recovery. He's right, that's what our hope is.

913
00:55:20,560 --> 00:55:23,000
Speaker 1: We want that to happen. Why would you not want

914
00:55:23,040 --> 00:55:25,880
Speaker 1: that to happen, Oh, because you don't like Donald Trump.

915
00:55:26,040 --> 00:55:30,000
Speaker 1: Well there's a reason, Jerry Matt Nadler. This whole battle

916
00:55:30,040 --> 00:55:33,640
Speaker 1: over mail in ballots. Actually we found a quote to him,

917
00:55:34,080 --> 00:55:38,240
Speaker 1: paper ballots are extremely susceptible to fraud. I can show

918
00:55:38,280 --> 00:55:42,319
Speaker 1: you experience which would make your head spin. Ah, he's

919
00:55:42,360 --> 00:55:45,160
Speaker 1: supporting Donald Trump, which then brings us to the big

920
00:55:45,200 --> 00:55:50,680
Speaker 1: Twitter question of fact checking using CNN and the Washington

921
00:55:50,760 --> 00:55:55,080
Speaker 1: Post is fact checkers, They're not news, these are these

922
00:55:55,120 --> 00:55:59,439
Speaker 1: are liberal talk stations, you know. Then Biden is out there,

923
00:55:59,680 --> 00:56:02,640
Speaker 1: he's in his fifteen minutes laying the wreath on Memorial

924
00:56:02,719 --> 00:56:06,439
Speaker 1: Davis back in his basement, being stupid, and he said

925
00:56:06,480 --> 00:56:09,200
Speaker 1: it couldn't phill O'Reilly was right, couldn't answer the question,

926
00:56:09,600 --> 00:56:13,240
Speaker 1: and that is what would you do differently? Joe lostened

927
00:56:13,280 --> 00:56:16,760
Speaker 1: to the experts. That's not an answer because Donald Trump

928
00:56:16,880 --> 00:56:19,919
Speaker 1: listened to the experts and the expert By the way,

929
00:56:20,040 --> 00:56:22,800
Speaker 1: none of the experts agreed with him on the travel

930
00:56:22,880 --> 00:56:26,200
Speaker 1: band or the quarantine or the subsequent travel bands. He

931
00:56:26,239 --> 00:56:30,480
Speaker 1: did all that on his own. And well, Joe Biden, well,

932
00:56:30,520 --> 00:56:32,239
Speaker 1: I think there's a whole much o thing about not

933
00:56:32,320 --> 00:56:34,640
Speaker 1: wearing a mask. The president probably is the one person

934
00:56:34,680 --> 00:56:36,880
Speaker 1: that doesn't have to wear a mask because he's getting

935
00:56:36,920 --> 00:56:39,720
Speaker 1: tested and everyone around him has to get tested, which

936
00:56:39,760 --> 00:56:41,880
Speaker 1: is the right thing to do. And I'd say that

937
00:56:41,960 --> 00:56:45,960
Speaker 1: regardless of who's the president. But a lot's gonna happen

938
00:56:46,000 --> 00:56:49,000
Speaker 1: in one hundred and sixty days, a lot is gonna happen.

939
00:56:49,480 --> 00:56:51,919
Speaker 1: Then you're gonna have once Joe has to come out

940
00:56:51,920 --> 00:56:54,399
Speaker 1: of his bunker, and they're gonna have whatever convention they're

941
00:56:54,440 --> 00:56:58,239
Speaker 1: gonna have. Trump's gonna have a convention, a real convention,

942
00:56:58,760 --> 00:57:02,280
Speaker 1: regardless of what the Democrats do. And I would imagine

943
00:57:02,400 --> 00:57:05,399
Speaker 1: there's probably pressure on the Democrats, WHOA what do we do?

944
00:57:05,840 --> 00:57:08,239
Speaker 1: He's gonna have one. We're gonna look stupid. Joe's gonna

945
00:57:08,239 --> 00:57:10,880
Speaker 1: be in his basement. That's not gonna look too exciting.

946
00:57:12,120 --> 00:57:14,799
Speaker 1: So we'll see what happens here. But then he's gonna

947
00:57:14,800 --> 00:57:17,040
Speaker 1: have to answer for quid pro quote Joe, He's gonna

948
00:57:17,080 --> 00:57:21,720
Speaker 1: have to answer for zero experience Hunter and Ukraine in China.

949
00:57:21,880 --> 00:57:24,200
Speaker 1: Then he's gonna have to identify what he would have

950
00:57:24,200 --> 00:57:28,600
Speaker 1: done differently, why he called the travel band xenophobic, hysterical,

951
00:57:29,200 --> 00:57:32,120
Speaker 1: fear mongering. He's gonna have to explain why in eight

952
00:57:32,200 --> 00:57:35,800
Speaker 1: years as vice president, thirteen million more Americans on food stamps,

953
00:57:35,840 --> 00:57:38,160
Speaker 1: eight million more in poverty. Then he's gonna have to

954
00:57:38,160 --> 00:57:41,600
Speaker 1: explain why why did it take Donald Trump? Because he's

955
00:57:41,640 --> 00:57:43,520
Speaker 1: you know, he now has the definition. Well, if you

956
00:57:43,600 --> 00:57:46,640
Speaker 1: vote for Trump. You ain't black, okay, And he even

957
00:57:46,680 --> 00:57:49,880
Speaker 1: said he's voting for Biden. I'm sorry, he's gonna defeat Biden.

958
00:57:50,200 --> 00:57:52,520
Speaker 1: I'm like, okay, you go defeat Biden because you're doing

959
00:57:52,560 --> 00:57:55,560
Speaker 1: a good job of it so far. Um. You know,

960
00:57:55,680 --> 00:57:57,760
Speaker 1: now he's accusing him of you know, it's just like

961
00:57:57,800 --> 00:58:01,520
Speaker 1: he's he's flailing and everyone's told well, if he if

962
00:58:01,520 --> 00:58:05,240
Speaker 1: he points Michelle Obama, he can't lose. I don't know

963
00:58:05,440 --> 00:58:08,240
Speaker 1: Michelle Obama wants it or not. But I'll take Trump's

964
00:58:08,240 --> 00:58:12,000
Speaker 1: economic record against the Obama Biden record any day. And

965
00:58:12,080 --> 00:58:16,760
Speaker 1: I'll take Trump's foreign policy success and beating Baghdaddy and

966
00:58:16,840 --> 00:58:19,800
Speaker 1: killing him and killing Solomoni and killing the al Qaeda

967
00:58:19,920 --> 00:58:24,360
Speaker 1: leader in Yemen and defeating the Caliphate that they couldn't beat,

968
00:58:24,720 --> 00:58:29,640
Speaker 1: bringing back jobs from overseas, manufacturing jobs that they said

969
00:58:29,720 --> 00:58:33,000
Speaker 1: was never coming back. I'll take all the energy independence

970
00:58:33,040 --> 00:58:36,200
Speaker 1: that we haven't had in seventy five years over you know,

971
00:58:36,280 --> 00:58:42,000
Speaker 1: the environmental extremism of every Democrat now, and we'll just

972
00:58:42,120 --> 00:58:45,080
Speaker 1: have to see. I mean, it's gonna be game on.

973
00:58:45,200 --> 00:58:48,160
Speaker 1: It's about it's about game time, and there's gonna be

974
00:58:48,200 --> 00:58:50,800
Speaker 1: a lot of issues on the table but of course

975
00:58:50,800 --> 00:58:53,280
Speaker 1: the biggest donor is gonna be the media and the

976
00:58:53,320 --> 00:58:57,840
Speaker 1: mob in the media, and guess what they have an agenda?

977
00:58:58,120 --> 00:59:01,120
Speaker 1: You know, I loved it now that What did I

978
00:59:01,200 --> 00:59:04,120
Speaker 1: say when Kaylee mcinanny, you know, did her first press

979
00:59:04,160 --> 00:59:07,360
Speaker 1: conference as secretary just to have just count the days

980
00:59:07,400 --> 00:59:12,120
Speaker 1: until they start attacking her, and she rightly said journalists

981
00:59:12,200 --> 00:59:16,880
Speaker 1: are not above being questioned when they've got obvious agendas,

982
00:59:17,360 --> 00:59:21,600
Speaker 1: and they're only donating to the Democratic Radical Socialist Party,

983
00:59:22,040 --> 00:59:28,840
Speaker 1: and they ignore that they lied for three years on Russia, Russia, Ukraine, Ukraine, impeach, impeach,

984
00:59:29,560 --> 00:59:32,800
Speaker 1: and they've got they ignored the biggest abuse of power

985
00:59:32,840 --> 00:59:37,400
Speaker 1: corruption scandal in history. They've got a problem. I love

986
00:59:37,480 --> 00:59:41,880
Speaker 1: fake news CNN and MSNBC staffers. They're all spotted out

987
00:59:41,920 --> 00:59:44,880
Speaker 1: on the town. Now. The person on camera's wearing a mask,

988
00:59:45,440 --> 00:59:48,160
Speaker 1: the person behind the camera in the case of MSDNC

989
00:59:48,360 --> 00:59:51,600
Speaker 1: is not wearing a mask, and the guy on camera

990
00:59:51,720 --> 00:59:55,080
Speaker 1: is lecturing everybody else about not wearing masks. A guy

991
00:59:55,160 --> 00:59:57,440
Speaker 1: takes a video and he says, what about your cameraman,

992
00:59:57,640 --> 01:00:00,040
Speaker 1: He's not wearing a mask. Oh yeah, not even my

993
01:00:00,160 --> 01:00:03,120
Speaker 1: cameraman's wearing a mask. I mean, you can't make this up.

994
01:00:04,040 --> 01:00:07,600
Speaker 1: You know, it's it's that's how nuts both these networks are.

995
01:00:08,240 --> 01:00:10,600
Speaker 1: You know, they both failed to practice what they're preaching

996
01:00:10,640 --> 01:00:13,760
Speaker 1: all of us to do. And look, I'm only telling

997
01:00:13,800 --> 01:00:16,960
Speaker 1: you I'm not wearing a mask. If I'm not if

998
01:00:16,320 --> 01:00:19,240
Speaker 1: if if if I have social distancing, there's no mask

999
01:00:19,320 --> 01:00:23,040
Speaker 1: on my face. It's not. But if you can't in

1000
01:00:23,120 --> 01:00:25,920
Speaker 1: those circumstances, then you know you wear it then. But

1001
01:00:25,920 --> 01:00:30,000
Speaker 1: it's it's short term. And the President and Vice president

1002
01:00:30,040 --> 01:00:33,360
Speaker 1: are also right about Twitter, you know where if they're

1003
01:00:33,400 --> 01:00:37,320
Speaker 1: gonna use the Washington Post and they're gonna determine what's

1004
01:00:37,360 --> 01:00:39,760
Speaker 1: truth and not truth, and okay, I want them to

1005
01:00:39,800 --> 01:00:43,120
Speaker 1: go back and fact check everything they got wrong on

1006
01:00:43,600 --> 01:00:48,760
Speaker 1: Russia Trump collusion. Then they can fact check how Joe

1007
01:00:48,880 --> 01:00:52,720
Speaker 1: and Hunter and the whole quid pro quo Joe zero

1008
01:00:52,800 --> 01:00:58,160
Speaker 1: experienced Hunter fiasco. You know it's the Twitter fact checker

1009
01:00:58,600 --> 01:01:04,600
Speaker 1: claimed the Trump administration or actual Nazis and mocked flyover states.

1010
01:01:05,320 --> 01:01:08,880
Speaker 1: I kid you, not the Twitter official responsible for the

1011
01:01:08,920 --> 01:01:13,240
Speaker 1: fact checking policies to tell your friend Dorsey This has

1012
01:01:13,280 --> 01:01:17,080
Speaker 1: tweeted that members of the Trump administration are Nazis, among

1013
01:01:17,120 --> 01:01:22,480
Speaker 1: other false, inflammatory statements on the platform. This guy's title

1014
01:01:22,520 --> 01:01:26,800
Speaker 1: as head of site integrity, I think he's got a bias,

1015
01:01:26,840 --> 01:01:29,560
Speaker 1: don't you. Yeah, that sounds like a bias to me.

1016
01:01:30,240 --> 01:01:33,000
Speaker 1: But they pointed out that his own tweets include exactly

1017
01:01:33,000 --> 01:01:37,440
Speaker 1: the kind of misleading, abusive content that Twitter's policy is

1018
01:01:37,480 --> 01:01:41,920
Speaker 1: purporting to limit. Jack Dorsey, pay attention. You might need

1019
01:01:41,960 --> 01:01:44,000
Speaker 1: a new fact checker because the one you have is

1020
01:01:44,040 --> 01:01:48,440
Speaker 1: abusively biased himself. And if he's calling Trump supporters Nazis,

1021
01:01:48,840 --> 01:01:53,160
Speaker 1: that might explain why conservatives have rightly been pointing out that,

1022
01:01:53,240 --> 01:01:58,240
Speaker 1: in fact, all of these outlets are purposely suppressing conservative

1023
01:01:58,320 --> 01:02:01,560
Speaker 1: three free thought nineties. Now, if they want to set

1024
01:02:01,640 --> 01:02:05,200
Speaker 1: up a private club, fine, but we'll find another site

1025
01:02:05,240 --> 01:02:08,160
Speaker 1: and I'll promote it for free. If that's what their

1026
01:02:08,200 --> 01:02:11,520
Speaker 1: strategy is, all right, News round up, Information overload hour.

1027
01:02:11,760 --> 01:02:17,600
Speaker 1: That was just the latest cringeworthy exchange Joe by Night.

1028
01:02:17,840 --> 01:02:20,240
Speaker 1: I gotta give him credit. He finally, although this does

1029
01:02:20,280 --> 01:02:23,320
Speaker 1: not count in terms of our countdown, you know the

1030
01:02:23,320 --> 01:02:27,439
Speaker 1: fact that he did take a brief appearance. He did

1031
01:02:27,480 --> 01:02:32,440
Speaker 1: go and lay a wreath at the Delaware War Memorial. Okay, credit,

1032
01:02:32,600 --> 01:02:35,640
Speaker 1: Joe left his house for fifteen seconds for a worthy,

1033
01:02:35,680 --> 01:02:38,160
Speaker 1: cause that doesn't count as leaving his basement to me.

1034
01:02:38,840 --> 01:02:43,040
Speaker 1: So now we're at day seventy two of Quid pro quo,

1035
01:02:43,360 --> 01:02:48,760
Speaker 1: Joe the ever forgetful one in his basement, and you know,

1036
01:02:48,920 --> 01:02:52,560
Speaker 1: he keeps doing these appearances, one after another after another.

1037
01:02:52,760 --> 01:02:55,120
Speaker 1: Funniest thing he said in a recent interview, Oh, I'm

1038
01:02:55,160 --> 01:02:58,760
Speaker 1: doing just fine in my basement, hiding. Yeah, while Trump's

1039
01:02:58,800 --> 01:03:02,800
Speaker 1: governing the country, O'Riley pointed out earlier, rightly, so that

1040
01:03:02,960 --> 01:03:04,760
Speaker 1: you know, when asked what would you do differently? I

1041
01:03:04,800 --> 01:03:07,640
Speaker 1: did I listen to the experts. Well, we already know

1042
01:03:07,680 --> 01:03:09,800
Speaker 1: what he'd do differently. We watched them on N one

1043
01:03:09,960 --> 01:03:12,320
Speaker 1: h one to quote him, really H one N one.

1044
01:03:12,960 --> 01:03:16,720
Speaker 1: So then you know, the train wreck continues with these interviews.

1045
01:03:17,200 --> 01:03:19,640
Speaker 1: You know, whether he said I'm gonna beat Joe or

1046
01:03:19,800 --> 01:03:22,520
Speaker 1: beat Joe Biden, it sounded like Beatoe Biden to me,

1047
01:03:22,640 --> 01:03:25,120
Speaker 1: but whatever it is. But he's doing a pretty good

1048
01:03:25,160 --> 01:03:28,720
Speaker 1: job of beating himself. And he does this interview with

1049
01:03:28,760 --> 01:03:31,600
Speaker 1: a radio host by the name of Charlemagne. It was

1050
01:03:31,680 --> 01:03:34,840
Speaker 1: so bad. You can see, like Joe shushing away a

1051
01:03:35,040 --> 01:03:39,400
Speaker 1: staffer who tried to prevent you know, this ever confused

1052
01:03:39,520 --> 01:03:43,880
Speaker 1: boss from from answering any more questions, and that's when

1053
01:03:43,920 --> 01:03:46,480
Speaker 1: he said the line that you just heard, you ain't

1054
01:03:46,520 --> 01:03:51,160
Speaker 1: black if you don't support him in the election. Well, okay, now, rightly,

1055
01:03:51,320 --> 01:03:56,479
Speaker 1: all the criticism has been taking place. You have even

1056
01:03:56,520 --> 01:03:59,600
Speaker 1: the radio host Charlemagne saying that Biden is an intricate

1057
01:03:59,680 --> 01:04:02,440
Speaker 1: part of the system that needs to be dismantled. The

1058
01:04:02,560 --> 01:04:06,640
Speaker 1: founder of BEET called on Biden to apologize to every

1059
01:04:06,680 --> 01:04:11,240
Speaker 1: black person he meets the election day. Even James Clyburne

1060
01:04:11,280 --> 01:04:15,000
Speaker 1: was shocked by this. Biden offers a oh on to

1061
01:04:15,120 --> 01:04:18,200
Speaker 1: see an interview. He goes out there and he says, oh,

1062
01:04:19,560 --> 01:04:21,960
Speaker 1: you know, I shouldn't be such a wise guy. The

1063
01:04:22,040 --> 01:04:24,880
Speaker 1: question were you is about what some supporters say they're

1064
01:04:24,920 --> 01:04:27,840
Speaker 1: worried about, which is that all of this could end

1065
01:04:27,960 --> 01:04:31,080
Speaker 1: up hurting the enthusiasm that you really need to win

1066
01:04:31,160 --> 01:04:35,800
Speaker 1: among black voters. Well, first of all, you know, it

1067
01:04:35,920 --> 01:04:39,160
Speaker 1: was a mistake number one. And I was smiling when

1068
01:04:39,160 --> 01:04:41,640
Speaker 1: he asked me the question. I was, you know, I

1069
01:04:41,320 --> 01:04:43,320
Speaker 1: shouldn't have meant such a wise guy with him. He

1070
01:04:43,360 --> 01:04:47,280
Speaker 1: was being a wise guy, and I responded kind as

1071
01:04:47,320 --> 01:04:51,200
Speaker 1: being a wise guy, and I responded in kind okay,

1072
01:04:51,280 --> 01:04:53,880
Speaker 1: but this is not his history. He has a disturbing

1073
01:04:53,960 --> 01:04:58,120
Speaker 1: pattern of this. Nineteen seventy seventy worried that his children

1074
01:04:58,200 --> 01:05:01,440
Speaker 1: would grow up and quote a his words, racial jungle

1075
01:05:01,480 --> 01:05:04,520
Speaker 1: if integration is not done in an orderly way. In

1076
01:05:04,680 --> 01:05:08,360
Speaker 1: ninety three, said inner city crime caused by predators on

1077
01:05:08,400 --> 01:05:12,240
Speaker 1: our streets. Again always usually, what if Donald Trump did this?

1078
01:05:12,360 --> 01:05:15,320
Speaker 1: What if Donald Trump ordered the elderly into nursing homes?

1079
01:05:15,360 --> 01:05:18,960
Speaker 1: For example, in two thousand six, he says, well, you

1080
01:05:18,960 --> 01:05:21,000
Speaker 1: have to have a slight Indian accent to work at

1081
01:05:21,000 --> 01:05:24,000
Speaker 1: a seven eleven or Duncan Donuts. And I'll never forget

1082
01:05:24,000 --> 01:05:28,760
Speaker 1: the comments about Barack Obama. This is the first mainstream

1083
01:05:29,000 --> 01:05:35,640
Speaker 1: African American who's articulate and bright and clean. It's storybook man. Yeah,

1084
01:05:35,800 --> 01:05:38,560
Speaker 1: then bragging he comes from a slave state. Same guy

1085
01:05:38,560 --> 01:05:40,400
Speaker 1: that says they're gonna put you all back in change,

1086
01:05:40,960 --> 01:05:43,480
Speaker 1: you know, bragging he worked with segregation is to get

1087
01:05:43,520 --> 01:05:47,160
Speaker 1: things done. I mean, it's only the tip of the iceberg. Anyway,

1088
01:05:47,240 --> 01:05:51,320
Speaker 1: here to talk about it and debate. Vince Ellison, conservative calumnist, lecturer,

1089
01:05:51,400 --> 01:05:55,439
Speaker 1: author of the book The Iron Triangle. Leo Terrella's back

1090
01:05:55,480 --> 01:05:59,120
Speaker 1: American civil rights attorney talk show host. He was on

1091
01:05:59,200 --> 01:06:01,840
Speaker 1: Hannity last night. Leo, I gotta be very blunt with you.

1092
01:06:01,800 --> 01:06:04,840
Speaker 1: You're ready, I'm ready, Sean. You know what I you

1093
01:06:04,840 --> 01:06:06,680
Speaker 1: know what I discovered last night when you were on

1094
01:06:06,720 --> 01:06:09,920
Speaker 1: the show. I miss you. We were I've been friends.

1095
01:06:10,160 --> 01:06:11,880
Speaker 1: We've been friends for a lot of years. I don't

1096
01:06:11,880 --> 01:06:13,960
Speaker 1: know how we got out of touch. I know that

1097
01:06:14,000 --> 01:06:16,640
Speaker 1: you used to throw your microphone down and you rip

1098
01:06:16,680 --> 01:06:20,440
Speaker 1: out your earpiece and walk off the show a couple

1099
01:06:20,440 --> 01:06:22,880
Speaker 1: of times when I mentioned your buddy Ojay, But you

1100
01:06:22,880 --> 01:06:25,880
Speaker 1: seem like you're over it now. Well, look, Sean, I

1101
01:06:25,960 --> 01:06:28,200
Speaker 1: miss you. I'm glad you had me on last night.

1102
01:06:28,320 --> 01:06:31,240
Speaker 1: I really appreciate being on your radio program, and I

1103
01:06:31,240 --> 01:06:35,600
Speaker 1: hope our twenty years friendship remains continue it. I remember

1104
01:06:35,640 --> 01:06:37,760
Speaker 1: how much I liked you. I do, and even though

1105
01:06:37,800 --> 01:06:41,200
Speaker 1: we don't agree a lot, I remember anyway. All right now,

1106
01:06:41,200 --> 01:06:44,840
Speaker 1: I gave you the history. Leo Terrell. You're an attorney.

1107
01:06:45,000 --> 01:06:47,840
Speaker 1: You're successful. By the way, Larry Elda did take a

1108
01:06:47,880 --> 01:06:50,360
Speaker 1: pretty big shot at you. Not where Larry, not where

1109
01:06:50,440 --> 01:06:53,680
Speaker 1: Leo's living. I don't know what that man, I assume. Yeah,

1110
01:06:53,720 --> 01:06:56,600
Speaker 1: but anyway, I thought it was funny. But this is

1111
01:06:56,640 --> 01:07:02,640
Speaker 1: his history. Now you tell me who help historically black colleges, Trump,

1112
01:07:02,880 --> 01:07:05,920
Speaker 1: who did criminal justice reformed Trump, who's the guy that

1113
01:07:05,960 --> 01:07:08,800
Speaker 1: created these business opportunities owns? Trump, who gave us the

1114
01:07:08,840 --> 01:07:13,600
Speaker 1: lowest unemployment rate for every demographic, including African Americans and

1115
01:07:14,440 --> 01:07:20,560
Speaker 1: African American youth. On'ployt Trump, not Biden, and not Obama. Well, Sean,

1116
01:07:20,640 --> 01:07:22,439
Speaker 1: let me be very clear, because I said it last

1117
01:07:22,560 --> 01:07:24,960
Speaker 1: night and people know me. I'm very fair minded. I'm

1118
01:07:25,000 --> 01:07:27,920
Speaker 1: not a big Trump supporter. But what Joe Biden did

1119
01:07:28,040 --> 01:07:31,080
Speaker 1: last night, what he did last week, excuse me. He

1120
01:07:31,160 --> 01:07:35,120
Speaker 1: insulted every African American in this country. He basically said

1121
01:07:35,160 --> 01:07:38,160
Speaker 1: that Kim Scott, who's a very good Republican black South

1122
01:07:38,160 --> 01:07:42,520
Speaker 1: Carolina Senator, shouldn't be a Republican. Joe Biden is not

1123
01:07:42,600 --> 01:07:46,400
Speaker 1: in the position to question anyone's blackness. And I think

1124
01:07:46,520 --> 01:07:49,120
Speaker 1: Joe Biden is in a time war in the seventies

1125
01:07:49,200 --> 01:07:52,240
Speaker 1: or eighty. I think you're absolutely right if you're looking

1126
01:07:52,280 --> 01:07:56,640
Speaker 1: at what has any politician done for African Americans. The

1127
01:07:56,640 --> 01:07:59,120
Speaker 1: things that Trump has done in the last two or

1128
01:07:59,160 --> 01:08:02,520
Speaker 1: three years are things are happening now, not what Joe

1129
01:08:02,600 --> 01:08:06,360
Speaker 1: Biden is relying upon. The sixties and seventy. African Americans,

1130
01:08:06,440 --> 01:08:11,000
Speaker 1: especially those under forty, they will not buy the seventeen

1131
01:08:11,120 --> 01:08:14,240
Speaker 1: eighty logic. They want what can they do? What can

1132
01:08:14,400 --> 01:08:17,559
Speaker 1: a politician do to put money in my pocket? And

1133
01:08:17,680 --> 01:08:20,719
Speaker 1: so far all Trump needs is to move that needle

1134
01:08:20,760 --> 01:08:24,559
Speaker 1: two to three percent of increasing black support, and I

1135
01:08:24,640 --> 01:08:28,040
Speaker 1: guarantee you he will carry the states that he won

1136
01:08:28,120 --> 01:08:32,479
Speaker 1: in twenty sixteen. Let's get your answer, Vince Sellison. Great

1137
01:08:32,520 --> 01:08:34,720
Speaker 1: to hear your voice again. We've missed you in the

1138
01:08:34,720 --> 01:08:38,760
Speaker 1: middle of all those coronavirus talk. Oh man, I'm glad

1139
01:08:38,800 --> 01:08:40,080
Speaker 1: to be with you, and I'm happy to be on

1140
01:08:40,560 --> 01:08:43,200
Speaker 1: with the legendary mister Rail and I'm happy to year

1141
01:08:43,360 --> 01:08:47,080
Speaker 1: that he's Uh. She seemed things clearly the same way

1142
01:08:47,120 --> 01:08:50,400
Speaker 1: that I am. What Joe did was just really, it

1143
01:08:50,439 --> 01:08:52,719
Speaker 1: was really h it was very it was not good.

1144
01:08:53,080 --> 01:08:55,240
Speaker 1: And as you said, Sewn, you at it all down.

1145
01:08:56,520 --> 01:08:59,280
Speaker 1: As I've told you before your show, a tree is

1146
01:08:59,320 --> 01:09:02,519
Speaker 1: known by the fruit bear. And what the Democrats have

1147
01:09:02,560 --> 01:09:05,360
Speaker 1: done in the Black community of the past thirty forty

1148
01:09:05,439 --> 01:09:09,240
Speaker 1: years is just horrible. They it's like a cultural genocide. Uh.

1149
01:09:09,400 --> 01:09:12,200
Speaker 1: We have ten times more people in prison, wools are

1150
01:09:12,240 --> 01:09:15,839
Speaker 1: in many of these cities like Baltimore, Detroit are just terrible.

1151
01:09:16,160 --> 01:09:18,439
Speaker 1: Trump is fighting for school choice, He's fighting to get

1152
01:09:18,479 --> 01:09:20,400
Speaker 1: these black men out of prison. That Joe Biden, who

1153
01:09:20,400 --> 01:09:24,519
Speaker 1: wrote the critic to Clinton Crimeville uh cent to jail uh.

1154
01:09:24,640 --> 01:09:26,680
Speaker 1: He's fighting to make sure that people come to this

1155
01:09:26,760 --> 01:09:29,720
Speaker 1: country come legally so that when they go into the communities,

1156
01:09:29,760 --> 01:09:32,880
Speaker 1: you know, they they they they they they they they're

1157
01:09:32,880 --> 01:09:35,479
Speaker 1: they're they're there for the right jobs, that they're not

1158
01:09:35,520 --> 01:09:37,880
Speaker 1: taking up too much space in schools, they're not fighting

1159
01:09:37,920 --> 01:09:40,400
Speaker 1: for the same benefits and things like that. Trump is

1160
01:09:40,400 --> 01:09:42,240
Speaker 1: doing a great job for the black community, is doing

1161
01:09:42,280 --> 01:09:45,760
Speaker 1: a great job for America. And Joe Biden's just gonna

1162
01:09:45,760 --> 01:09:47,439
Speaker 1: have a record to run on. I mean, even when

1163
01:09:47,439 --> 01:09:52,240
Speaker 1: he was with like you said, when the Soamia administration,

1164
01:09:52,680 --> 01:09:54,479
Speaker 1: they didn't do a good job in the black community.

1165
01:09:54,479 --> 01:09:56,320
Speaker 1: Black people got four of all people went to jail.

1166
01:09:57,040 --> 01:10:00,599
Speaker 1: H With the poverty ensued and as a matter of fight, uh,

1167
01:10:00,680 --> 01:10:04,240
Speaker 1: the the the the community seemed like you're suffering more

1168
01:10:04,960 --> 01:10:08,240
Speaker 1: under by Obama's that it did probably other any administration

1169
01:10:08,280 --> 01:10:10,800
Speaker 1: for a very very long time. But we're coming back.

1170
01:10:11,000 --> 01:10:13,600
Speaker 1: America's gonna be stronger. The black community is gonna be

1171
01:10:13,640 --> 01:10:17,760
Speaker 1: stronger and everything's gonna be rosy. I mean, I looked

1172
01:10:17,760 --> 01:10:19,200
Speaker 1: at the down of to day and I just jumped

1173
01:10:19,280 --> 01:10:21,839
Speaker 1: up and down. It's all coming back because of President

1174
01:10:21,840 --> 01:10:25,760
Speaker 1: Trump's strong and in his vicious leadership, and I s

1175
01:10:26,920 --> 01:10:29,320
Speaker 1: can't just just kid One final note, what Joe Biden

1176
01:10:29,360 --> 01:10:32,759
Speaker 1: did last week. He insulted the intelligence not just Black America.

1177
01:10:32,960 --> 01:10:35,880
Speaker 1: He insulted the intelligence of every American to make the

1178
01:10:35,920 --> 01:10:39,479
Speaker 1: assumption that you have to be a Democrat if you're

1179
01:10:39,479 --> 01:10:45,959
Speaker 1: a black person. And Matt Fallacy is absolutely incorrect. That's

1180
01:10:46,000 --> 01:10:49,639
Speaker 1: definitely correct. That's definitely correct. You're finding now. And because

1181
01:10:49,960 --> 01:10:53,240
Speaker 1: President Rump has been talking Pia and going to Twitter

1182
01:10:53,560 --> 01:10:56,280
Speaker 1: and going to all these other ways of getting the people,

1183
01:10:56,360 --> 01:10:59,040
Speaker 1: that people are getting his message like a very good

1184
01:10:59,439 --> 01:11:02,280
Speaker 1: a sales. But he will tell you what his product

1185
01:11:02,360 --> 01:11:05,960
Speaker 1: does for you. And for a long time Republicans spoke

1186
01:11:06,360 --> 01:11:09,519
Speaker 1: completely in general concepts. When he came to the black community,

1187
01:11:09,800 --> 01:11:11,960
Speaker 1: Donal Trump will tell you every time he stands up,

1188
01:11:12,040 --> 01:11:14,360
Speaker 1: he's proud of what he's doing for Black America. But

1189
01:11:14,520 --> 01:11:17,360
Speaker 1: when the when when Joe Biden talks about his record,

1190
01:11:17,640 --> 01:11:20,040
Speaker 1: you have to say, good god, Joe, you're proud of that.

1191
01:11:20,520 --> 01:11:23,240
Speaker 1: I mean, you're proud of the terrible schools. You're proud

1192
01:11:23,280 --> 01:11:26,080
Speaker 1: of the crime. You're proud of running a building of

1193
01:11:26,280 --> 01:11:29,080
Speaker 1: millions of black men. You're proud of voting for abortion

1194
01:11:29,360 --> 01:11:31,680
Speaker 1: that's right now killing up to sixty I mean, a

1195
01:11:31,840 --> 01:11:33,920
Speaker 1: forty percent of all the pregnancies. And in the sitial

1196
01:11:34,000 --> 01:11:37,680
Speaker 1: of Black America, you're proud of this. You're proud of

1197
01:11:37,160 --> 01:11:40,160
Speaker 1: of of the murder and the mayhem of this army

1198
01:11:40,680 --> 01:11:44,080
Speaker 1: black men when we see that they believe they're being

1199
01:11:44,120 --> 01:11:47,360
Speaker 1: a hunted out there in the streets. And instead I'm saying, look,

1200
01:11:47,400 --> 01:11:49,040
Speaker 1: I think everybody as a second member right to keep

1201
01:11:49,080 --> 01:11:51,280
Speaker 1: them bear arms and defend themselves. You're voting for people

1202
01:11:51,280 --> 01:11:53,920
Speaker 1: that are going to confiscate your weapon. You know, the

1203
01:11:54,680 --> 01:11:57,719
Speaker 1: Democratic Party has nothing more to offer the black community's

1204
01:11:57,760 --> 01:11:59,880
Speaker 1: wants out Concerned, I think everybody should sit down and

1205
01:12:00,720 --> 01:12:04,879
Speaker 1: and and and we need to do what the President's

1206
01:12:04,920 --> 01:12:08,120
Speaker 1: talking about doing with school choice. We need to make

1207
01:12:08,160 --> 01:12:10,280
Speaker 1: sure that people are protecting their communities. To the polician,

1208
01:12:10,360 --> 01:12:13,360
Speaker 1: I'll protect them, make sure they can protect themselves. And

1209
01:12:13,520 --> 01:12:16,160
Speaker 1: we have to start talking so much about race in

1210
01:12:16,240 --> 01:12:21,920
Speaker 1: this country, because one thing every two four years, Leo,

1211
01:12:22,320 --> 01:12:26,200
Speaker 1: what does the Democratic Party do. Republicans want to put

1212
01:12:26,240 --> 01:12:28,840
Speaker 1: you all back in chains. It's like my father was

1213
01:12:28,920 --> 01:12:32,240
Speaker 1: killed all over again. If you elect Republicans, black churches

1214
01:12:32,240 --> 01:12:34,120
Speaker 1: are gonna burn. I go through the history of this

1215
01:12:34,280 --> 01:12:39,040
Speaker 1: all the time, and you know what, the one president

1216
01:12:39,080 --> 01:12:42,200
Speaker 1: that has done more, that has impacted in the most

1217
01:12:42,280 --> 01:12:49,200
Speaker 1: positive ways every demographic group, including African Americans, Hispanic Americans,

1218
01:12:49,720 --> 01:12:54,320
Speaker 1: is Donald Trump. His policies worked, not their policies. Let

1219
01:12:54,400 --> 01:12:57,599
Speaker 1: me let me simply say this, because Joe Biden has

1220
01:12:57,600 --> 01:13:00,920
Speaker 1: a nightmare a person like me, who he would normally

1221
01:13:01,000 --> 01:13:03,920
Speaker 1: count in the column and his column, I am his

1222
01:13:04,000 --> 01:13:07,680
Speaker 1: worst nightmare. And there's thousands of African Americans who were

1223
01:13:07,800 --> 01:13:10,920
Speaker 1: insulted by what he did who will now have to

1224
01:13:11,000 --> 01:13:15,880
Speaker 1: make him earn our vote because Joe Biden lost me

1225
01:13:16,040 --> 01:13:19,000
Speaker 1: and many many blacks. And I won't submit to you

1226
01:13:19,800 --> 01:13:22,639
Speaker 1: that Joe Biden has a lot of homework to do

1227
01:13:23,040 --> 01:13:26,680
Speaker 1: if he is going to have these supermajority numbers of

1228
01:13:26,720 --> 01:13:30,320
Speaker 1: African American because he insulted them, and he hurt them,

1229
01:13:30,640 --> 01:13:34,880
Speaker 1: and he has basically wounded African Americans. African Americans want

1230
01:13:34,920 --> 01:13:37,640
Speaker 1: you to feel like you care for them and what

1231
01:13:37,840 --> 01:13:41,240
Speaker 1: Joe Biden said last week. He made it sound like

1232
01:13:41,320 --> 01:13:45,040
Speaker 1: he took blacks for granted. So people like myself who

1233
01:13:45,080 --> 01:13:49,280
Speaker 1: are coming on your show, Oh, Terrell's gonna support Joe Biden. No,

1234
01:13:50,560 --> 01:13:53,439
Speaker 1: Terrell is gonna wait to see what Joe Biden is

1235
01:13:53,479 --> 01:13:56,400
Speaker 1: going to r in America, and Donald Trump has taken

1236
01:13:56,400 --> 01:13:59,200
Speaker 1: the lead on that. I got the zillion dollar question

1237
01:13:59,280 --> 01:14:01,519
Speaker 1: for Leo when we get back, So stay right there.

1238
01:14:01,600 --> 01:14:03,320
Speaker 1: That's great to have you back. Vin's great to have

1239
01:14:03,400 --> 01:14:07,200
Speaker 1: you back. Eight hundred nine one Sean, as we roll along,

1240
01:14:07,600 --> 01:14:11,559
Speaker 1: you ain't black according to Joe Biden anyway, Leo Terrell

1241
01:14:11,640 --> 01:14:15,080
Speaker 1: American civil rights attorney Vince Ellison, author of The Iron Triangle.

1242
01:14:15,479 --> 01:14:20,320
Speaker 1: Here's the here's the big question. So Leo, yes about it?

1243
01:14:20,400 --> 01:14:24,040
Speaker 1: Pretty much A lifelong Democrat, right, I've been pretty much

1244
01:14:24,040 --> 01:14:26,840
Speaker 1: on that side. Yet Donald Trump did all these things

1245
01:14:26,840 --> 01:14:30,920
Speaker 1: we've discussed, right as it relates to helping, UH doing

1246
01:14:31,040 --> 01:14:34,120
Speaker 1: more for African Americans. You saw Alice Johnson. I'm sure

1247
01:14:34,120 --> 01:14:36,320
Speaker 1: you felt what I felt. I've fallen in love with her,

1248
01:14:36,840 --> 01:14:40,880
Speaker 1: wonderful woman. Yes, that that didn't happen under Biden Obama.

1249
01:14:41,000 --> 01:14:43,719
Speaker 1: Why would you not vote for for Trump? You should

1250
01:14:43,760 --> 01:14:46,799
Speaker 1: vote for Trump. Let me be very clear on your show,

1251
01:14:46,960 --> 01:14:49,639
Speaker 1: I am not submitted to Biden. I'm not submitted to Trump.

1252
01:14:49,720 --> 01:14:51,720
Speaker 1: I would like to see Trump do a little bit

1253
01:14:51,720 --> 01:14:54,479
Speaker 1: more on the most recent incidents that have happened in

1254
01:14:54,520 --> 01:14:57,200
Speaker 1: Minnesota and Georgia. You can just talk about that later,

1255
01:14:57,280 --> 01:14:59,800
Speaker 1: but I want to see a little bit more compassion.

1256
01:15:00,120 --> 01:15:01,880
Speaker 1: But I will sit here on your program and tell

1257
01:15:01,920 --> 01:15:05,519
Speaker 1: you very clearly I am not in Biden's back pocket,

1258
01:15:05,760 --> 01:15:07,800
Speaker 1: and I will not sit here and tell you I'm

1259
01:15:07,840 --> 01:15:09,960
Speaker 1: committed to bite. I'm open. We got a one hundred

1260
01:15:10,000 --> 01:15:13,720
Speaker 1: and seventy days. Let the candidates debated sixty, but it

1261
01:15:13,840 --> 01:15:18,000
Speaker 1: was counting the one thing that has happened every two

1262
01:15:18,160 --> 01:15:20,680
Speaker 1: four years, the race card gets played. I'm sick of

1263
01:15:20,720 --> 01:15:24,000
Speaker 1: it as a conservative because I find I want nothing

1264
01:15:24,040 --> 01:15:28,479
Speaker 1: to do with bigoted, hateful, racist people, period, end of sentence.

1265
01:15:28,520 --> 01:15:31,519
Speaker 1: Where all children of God, And you know, at the

1266
01:15:31,600 --> 01:15:35,280
Speaker 1: end of the day, it still happens every two four years,

1267
01:15:35,320 --> 01:15:38,840
Speaker 1: and the Democratic candidates always play that card. I'm sick

1268
01:15:38,880 --> 01:15:42,240
Speaker 1: of it. Well, Sean, I can bounce with that. You

1269
01:15:42,240 --> 01:15:44,160
Speaker 1: want the best meal I've ever met, and you're you're

1270
01:15:44,160 --> 01:15:46,320
Speaker 1: a great Centisens are not racist bone in your body.

1271
01:15:46,360 --> 01:15:49,439
Speaker 1: I know that fact. Then this is what this is

1272
01:15:49,439 --> 01:15:51,839
Speaker 1: the card to going to play because it always worked

1273
01:15:51,840 --> 01:15:53,880
Speaker 1: for them. I think they may have played it out

1274
01:15:53,960 --> 01:15:56,840
Speaker 1: this year though what we've seen. We all know these

1275
01:15:56,880 --> 01:15:59,080
Speaker 1: things are not right. But these are just human beings.

1276
01:15:59,120 --> 01:16:01,880
Speaker 1: They're not black, they're not white. Forwards our concern I

1277
01:16:02,240 --> 01:16:09,320
Speaker 1: see human being that we meet each other irrelevance to me.

1278
01:16:09,800 --> 01:16:11,680
Speaker 1: But these people are always trying to make it a

1279
01:16:11,720 --> 01:16:14,360
Speaker 1: black and a white issue. We're Americans and we are

1280
01:16:14,400 --> 01:16:17,519
Speaker 1: all one people, one blood, in one country. And I'm

1281
01:16:17,520 --> 01:16:21,160
Speaker 1: going to tell you this about what I've heard today. Leo,

1282
01:16:21,840 --> 01:16:26,799
Speaker 1: U walk to contact. When Johnson said I lost Vietnam

1283
01:16:26,840 --> 01:16:31,200
Speaker 1: and I lost Walter Contact, Well, well, Biden is going

1284
01:16:31,200 --> 01:16:33,120
Speaker 1: to lose it to the black community, he saws Leo.

1285
01:16:33,400 --> 01:16:36,960
Speaker 1: Because Leo has been a staunch hard Democrat for years

1286
01:16:37,320 --> 01:16:39,120
Speaker 1: and I know, but I've been working on him for

1287
01:16:39,160 --> 01:16:43,000
Speaker 1: twenty years. Vince. This has been a twenty year project, Leo. Right, well, yes,

1288
01:16:43,200 --> 01:16:44,479
Speaker 1: but let me here and see this. And you said,

1289
01:16:45,120 --> 01:16:47,679
Speaker 1: we're just at the time. I love you both, welcome back.

1290
01:16:47,760 --> 01:16:50,120
Speaker 1: I missed you both. Straight ahead, all right, twenty five

1291
01:16:50,160 --> 01:16:52,040
Speaker 1: now till the top of the hour. Eight hundred and

1292
01:16:52,080 --> 01:16:53,479
Speaker 1: nine four one, Sean, you want to be a part

1293
01:16:53,520 --> 01:16:55,120
Speaker 1: of the program. All right, let's get to our phones.

1294
01:16:55,360 --> 01:16:59,880
Speaker 1: Uh A. Lisa in Montana has been extraordinarily patient to do.

1295
01:17:00,600 --> 01:17:04,080
Speaker 1: I'm sorry for the long wait. Glad you called. I

1296
01:17:04,120 --> 01:17:07,760
Speaker 1: love Montana. It's beautiful out there. What a place. How

1297
01:17:07,800 --> 01:17:11,400
Speaker 1: are you? Hello? Hello, Sean and Linda. I want to

1298
01:17:11,400 --> 01:17:14,799
Speaker 1: thank you so much. I would wait. How does everybody

1299
01:17:14,840 --> 01:17:18,519
Speaker 1: thank Linda? It's the Sean Hannity Shows, not the Linda

1300
01:17:18,640 --> 01:17:21,520
Speaker 1: New York Show. All right, go ahead. I love Lisa

1301
01:17:21,640 --> 01:17:23,840
Speaker 1: and I love Lisa. She should come on every day.

1302
01:17:23,840 --> 01:17:27,679
Speaker 1: It's a wonderful thing. We'll pauk, I know. Go what's

1303
01:17:27,680 --> 01:17:30,760
Speaker 1: going on? Lisa? So we are having a we are

1304
01:17:30,800 --> 01:17:35,120
Speaker 1: planning here in Montana birthday parade for President Trump on

1305
01:17:35,160 --> 01:17:40,680
Speaker 1: his birthday June fourteenth, which is also National American Flag Day.

1306
01:17:41,240 --> 01:17:44,160
Speaker 1: And what what are you doing for the birthday party?

1307
01:17:44,840 --> 01:17:49,280
Speaker 1: We're having a parade slash in our cars. We're driving

1308
01:17:49,280 --> 01:17:53,040
Speaker 1: through Bozeman, Montana and the surrounding little town with our

1309
01:17:53,080 --> 01:17:58,760
Speaker 1: cars decorated with Happy Birthday Trump Trump twenty twenty. Because

1310
01:17:58,800 --> 01:18:01,439
Speaker 1: they're trying to stop our rallies. And what's a better

1311
01:18:01,479 --> 01:18:04,960
Speaker 1: way to have a rally nationwide in our cars to

1312
01:18:05,280 --> 01:18:08,000
Speaker 1: honor President Trump on his birthday. And I love it.

1313
01:18:08,040 --> 01:18:09,680
Speaker 1: I listen, I don't want to. I don't want to

1314
01:18:09,720 --> 01:18:12,200
Speaker 1: burst your bubble. Linda's gonna kill me if when I said,

1315
01:18:12,640 --> 01:18:17,600
Speaker 1: I've actually know for a fact he hates mentioning his birthday.

1316
01:18:17,840 --> 01:18:20,000
Speaker 1: There are some people that hate that. I don't particularly

1317
01:18:20,000 --> 01:18:23,760
Speaker 1: like mentioning mine either. Um, But with that said, I

1318
01:18:23,880 --> 01:18:27,200
Speaker 1: love what you're doing. Um, I think it's a great idea.

1319
01:18:27,400 --> 01:18:30,000
Speaker 1: I'm sure he'll be touched by the videos. Did you

1320
01:18:30,120 --> 01:18:33,960
Speaker 1: see the videos from South Carolina Charleston this weekend and

1321
01:18:34,000 --> 01:18:37,679
Speaker 1: the guy in the Trump twenty twenty boat, etc. Oh,

1322
01:18:37,720 --> 01:18:40,120
Speaker 1: and I want a body dec great, your boats, your homes,

1323
01:18:40,160 --> 01:18:44,320
Speaker 1: your cars, your semi so buddy of mine, get this.

1324
01:18:44,920 --> 01:18:47,519
Speaker 1: He's then the guy was on TV. I don't remember

1325
01:18:47,560 --> 01:18:49,040
Speaker 1: if he was on radio two. He's on one or

1326
01:18:49,040 --> 01:18:51,479
Speaker 1: the other. Anyway. See how great my memory is. I

1327
01:18:51,479 --> 01:18:54,519
Speaker 1: can tell you everything about every president from from Jimmy

1328
01:18:54,560 --> 01:18:56,560
Speaker 1: Carter onward, but I can't remember who was on the

1329
01:18:56,600 --> 01:18:59,800
Speaker 1: show yesterday now. But he put me on the phone

1330
01:18:59,800 --> 01:19:03,080
Speaker 1: with the Trump twenty twenty boat guy and they were like,

1331
01:19:03,200 --> 01:19:07,479
Speaker 1: apparently hundreds and hundreds and hundreds of votes with all

1332
01:19:07,720 --> 01:19:12,080
Speaker 1: Trump twenty twenty signs unbelievable. Yeah, well it's you know,

1333
01:19:12,320 --> 01:19:14,479
Speaker 1: he might not like his birthday, but we're in times

1334
01:19:14,479 --> 01:19:17,439
Speaker 1: where they're trying to stop all of our rallies with him,

1335
01:19:18,120 --> 01:19:21,639
Speaker 1: and we can't think of a nationwide date to actually

1336
01:19:21,680 --> 01:19:24,840
Speaker 1: have our rallies in our car to support him and

1337
01:19:24,960 --> 01:19:28,280
Speaker 1: let him know we can't thank him enough for everything

1338
01:19:28,280 --> 01:19:30,479
Speaker 1: he's been through and we need to stand for our

1339
01:19:30,479 --> 01:19:34,639
Speaker 1: American flags. I've been putting on governors like Christy Nome

1340
01:19:34,800 --> 01:19:40,879
Speaker 1: South Dakota and you know, obviously DeSantis and Abbot from Texas,

1341
01:19:40,960 --> 01:19:43,519
Speaker 1: and we also had the Mississippi governor on and just

1342
01:19:43,560 --> 01:19:46,120
Speaker 1: to get a little flavor for how all the states

1343
01:19:46,120 --> 01:19:51,160
Speaker 1: are dealing with coronavirus. I've not read a lot about Montana.

1344
01:19:51,439 --> 01:19:55,800
Speaker 1: I know, South Dakota state open, which probably means it

1345
01:19:55,920 --> 01:19:59,559
Speaker 1: was nothing like what they experienced it because of the

1346
01:19:59,560 --> 01:20:03,200
Speaker 1: stupid ay of you know, politicians in New York, New Jersey,

1347
01:20:03,200 --> 01:20:09,840
Speaker 1: Pennsylvania and Michigan. But um, how is coronavirus there? Coronavirus?

1348
01:20:09,880 --> 01:20:13,840
Speaker 1: We were locked down for a while and everybody's been cautious.

1349
01:20:14,120 --> 01:20:19,480
Speaker 1: I happen to work for Costco Wholesale. Whoa, I love Costcos.

1350
01:20:19,880 --> 01:20:27,240
Speaker 1: Love Costcos. I'm serious. You walk around and they give

1351
01:20:27,240 --> 01:20:30,400
Speaker 1: you samples like the old days, you know used to

1352
01:20:31,880 --> 01:20:35,280
Speaker 1: the last time I went, I got samples. No, they

1353
01:20:35,280 --> 01:20:38,240
Speaker 1: shut it down when all this came out. And now

1354
01:20:38,280 --> 01:20:41,559
Speaker 1: as employees, we were mass or shields if you can't breathe.

1355
01:20:42,240 --> 01:20:44,400
Speaker 1: But I meant before the virus. I haven't been there

1356
01:20:44,439 --> 01:20:47,200
Speaker 1: since the virus. Go to my local grocery store. Now, okay,

1357
01:20:48,080 --> 01:20:51,080
Speaker 1: Costco's got it going on. It's an amazing company as

1358
01:20:51,080 --> 01:20:53,519
Speaker 1: far as you know, taking care of all of us.

1359
01:20:53,920 --> 01:20:56,479
Speaker 1: But it's you know, it's a hard job. Everybody's stockings,

1360
01:20:56,520 --> 01:21:00,240
Speaker 1: wearing masks, and it's hard to breathe. But they're standing tall,

1361
01:21:00,360 --> 01:21:04,240
Speaker 1: and I'm very proud to be a cost Anybody at

1362
01:21:04,320 --> 01:21:10,880
Speaker 1: Costco's where you are? Ever got in Corona? No, everybody's

1363
01:21:10,920 --> 01:21:15,360
Speaker 1: wearing a mask, right, the employees are, But they weren't

1364
01:21:15,360 --> 01:21:20,320
Speaker 1: in the beginning. You see, I keep using the anecdotal level.

1365
01:21:20,360 --> 01:21:21,920
Speaker 1: I go to my right aid, I go to my

1366
01:21:22,000 --> 01:21:25,320
Speaker 1: glocal grocery store. Every worker is in a mask and gloves,

1367
01:21:26,000 --> 01:21:29,720
Speaker 1: and god, thank god, nobody got Corona and they were

1368
01:21:29,760 --> 01:21:33,439
Speaker 1: wearing it from the earliest days here. Um, and that's

1369
01:21:33,479 --> 01:21:36,160
Speaker 1: why you know I keep harping on. If I have

1370
01:21:36,240 --> 01:21:38,160
Speaker 1: to wear it to go to a game, I'll wear it.

1371
01:21:38,400 --> 01:21:40,000
Speaker 1: I want to go to a concert. I want to

1372
01:21:40,000 --> 01:21:42,000
Speaker 1: go to a baseball game. I want to go to

1373
01:21:42,040 --> 01:21:45,240
Speaker 1: a football game. I want to live again. Great, and

1374
01:21:45,400 --> 01:21:47,880
Speaker 1: we will live again, and we will come through this

1375
01:21:48,360 --> 01:21:52,400
Speaker 1: and we will survive. But I will be looking forward

1376
01:21:52,439 --> 01:21:54,120
Speaker 1: to seeing all the parase that they're gonna have for

1377
01:21:54,160 --> 01:21:59,640
Speaker 1: Trump on his birthday. You do. Linda just texted me

1378
01:21:59,680 --> 01:22:03,920
Speaker 1: a you're a newlywed. Well, no, it's my it's my

1379
01:22:03,960 --> 01:22:06,560
Speaker 1: anniversary today. I've been I was getting ready while I

1380
01:22:06,600 --> 01:22:10,800
Speaker 1: was on hold. Wow, you go out to dinners? Well,

1381
01:22:10,800 --> 01:22:13,800
Speaker 1: where are you going to dinner tonight? Um? I'm a

1382
01:22:13,880 --> 01:22:16,679
Speaker 1: place called the Hood. The Hood. What kind of food

1383
01:22:16,680 --> 01:22:20,360
Speaker 1: they serve? Oh amazing ribs that when you cut it

1384
01:22:20,400 --> 01:22:24,479
Speaker 1: in half, it falls off the bone. It's fantastic. Okay,

1385
01:22:24,479 --> 01:22:26,759
Speaker 1: you're gonna hate me for this. I like the ribs,

1386
01:22:26,800 --> 01:22:29,160
Speaker 1: the pork ribs where you actually have to rip it

1387
01:22:29,200 --> 01:22:32,080
Speaker 1: off the bone. I've got the same thing. My mother

1388
01:22:32,160 --> 01:22:35,360
Speaker 1: had it. I strip every bone. Obviously, you can't do

1389
01:22:35,439 --> 01:22:38,960
Speaker 1: it in a restaurant. But when I'm alone, Oh, it's messy,

1390
01:22:39,120 --> 01:22:49,200
Speaker 1: it's ugly, it's sloppy, it's you know, it's yeah, exactly exactly.

1391
01:22:50,280 --> 01:22:52,720
Speaker 1: I gotta say I really like Lisa. She might be

1392
01:22:52,800 --> 01:22:56,240
Speaker 1: my favorite. Cor You're annoying me, but I love you anyway.

1393
01:22:56,360 --> 01:22:58,880
Speaker 1: All right, So here's the thing. How many um so?

1394
01:22:59,280 --> 01:23:03,080
Speaker 1: How many year? Undim um? Happy to be our fourth

1395
01:23:03,240 --> 01:23:07,880
Speaker 1: this year? Okay? Any kids? Jed, No, we met later

1396
01:23:07,920 --> 01:23:10,760
Speaker 1: in life and we're happier than ever. Good for you.

1397
01:23:10,920 --> 01:23:12,760
Speaker 1: I'm so glad to hear it. I wish you all

1398
01:23:12,800 --> 01:23:17,639
Speaker 1: the best. And if I didn't meet him, I wouldn't

1399
01:23:17,680 --> 01:23:19,960
Speaker 1: know as much as I do about politics. I was

1400
01:23:20,040 --> 01:23:23,280
Speaker 1: a numb nut walking around knowing nothing, and now I'm

1401
01:23:23,320 --> 01:23:26,000
Speaker 1: over the top passionate. I listened to your show all

1402
01:23:26,000 --> 01:23:29,919
Speaker 1: the time, and I appreciate your show because you repeat

1403
01:23:30,000 --> 01:23:36,000
Speaker 1: it and helped me learn everything. And same with Russell Emball. Well, yeah,

1404
01:23:36,000 --> 01:23:39,280
Speaker 1: by the way, is amazing too. Let me ask you this.

1405
01:23:39,640 --> 01:23:44,800
Speaker 1: Do you have like you on? Do you have a ranch? No?

1406
01:23:45,600 --> 01:23:49,519
Speaker 1: Do you have acreage? No? So you live in the

1407
01:23:49,520 --> 01:23:54,639
Speaker 1: residential part of Bozeman. My boy live in Manhattan. It's

1408
01:23:54,640 --> 01:23:58,560
Speaker 1: a tiny world. Did you I thought you said Manhattan.

1409
01:23:58,600 --> 01:24:01,200
Speaker 1: What tip? What did you say? I live in a

1410
01:24:01,200 --> 01:24:04,800
Speaker 1: little town called Manhattan, Montana. You know, if you look

1411
01:24:04,880 --> 01:24:09,240
Speaker 1: at Manhattan to the grocery store. Wow, okay, if you

1412
01:24:09,280 --> 01:24:11,280
Speaker 1: look at Manhattan, like when you're up in a jet

1413
01:24:11,320 --> 01:24:13,599
Speaker 1: and you're looking down to this, it's the tiniest island.

1414
01:24:13,720 --> 01:24:16,200
Speaker 1: Eleven million people on that tiny island, which you know,

1415
01:24:16,320 --> 01:24:18,880
Speaker 1: then why don't you prepare? I don't know why we

1416
01:24:19,240 --> 01:24:21,320
Speaker 1: people pay such high amounts of money for the real

1417
01:24:21,439 --> 01:24:25,280
Speaker 1: estate and this this shift hole. If you don't mind

1418
01:24:26,600 --> 01:24:30,639
Speaker 1: use Every time I say shift show, people think I'm cursing.

1419
01:24:30,680 --> 01:24:33,200
Speaker 1: I'm not cursing, although it's kind of a curse because

1420
01:24:33,200 --> 01:24:36,400
Speaker 1: he's such a jerk. But happy anniversary, Lisa, God bless

1421
01:24:36,439 --> 01:24:39,240
Speaker 1: you and your husband and the people of Montana. I

1422
01:24:39,280 --> 01:24:41,880
Speaker 1: gotta get it. I want a ranch one day. That's

1423
01:24:41,920 --> 01:24:44,719
Speaker 1: my dream, Linda. What do you think, Kennedy ranch? Listen?

1424
01:24:44,800 --> 01:24:46,960
Speaker 1: I'm in love with Montana A. Lisa and I've already

1425
01:24:46,960 --> 01:24:49,719
Speaker 1: talked about this because when she said you're gonna last

1426
01:24:49,720 --> 01:24:55,479
Speaker 1: five seconds on a ranch, you're gonna last five listen.

1427
01:24:55,760 --> 01:24:58,200
Speaker 1: I can do it. Okay, you go, I can do

1428
01:24:58,360 --> 01:25:01,839
Speaker 1: I'm gonna hire people I'm to be a capitalist. They're gonna,

1429
01:25:02,000 --> 01:25:04,120
Speaker 1: you know, take care of the grounds and the bugs

1430
01:25:04,120 --> 01:25:06,519
Speaker 1: and the dirt, and I'm going to appreciate the beauty

1431
01:25:06,520 --> 01:25:09,240
Speaker 1: that they offer to me. I'm gonna pay my tax.

1432
01:25:09,320 --> 01:25:14,679
Speaker 1: It's gonna be great. I love it. Okay, Uh, don't

1433
01:25:14,720 --> 01:25:16,840
Speaker 1: say it like that. Don't say it like that. You know,

1434
01:25:16,920 --> 01:25:18,519
Speaker 1: just because I don't want to get dirty, doesn't mean

1435
01:25:18,560 --> 01:25:23,880
Speaker 1: I can't appreciate the beauty. Okay, you can. I can

1436
01:25:23,920 --> 01:25:25,840
Speaker 1: see Lisa with at least I can see her with

1437
01:25:25,880 --> 01:25:34,160
Speaker 1: a first Bison burger. Unbelievable. Oh amen. Okay, Marty, California.

1438
01:25:34,200 --> 01:25:38,280
Speaker 1: What's up, Marty? How are you? It's happening, man? What's

1439
01:25:38,280 --> 01:25:43,160
Speaker 1: going to tapping? Hey? Man, I'm happening everything. I'm right

1440
01:25:43,200 --> 01:25:45,439
Speaker 1: down here in Los Angeles, the belly of the liberal

1441
01:25:46,000 --> 01:25:48,439
Speaker 1: the ground zeal right here, sir. And there's a lot

1442
01:25:48,479 --> 01:25:51,280
Speaker 1: of Trump supporters and those a lot of Hannity supporters

1443
01:25:51,360 --> 01:25:55,280
Speaker 1: all up and down California. What I want to say, Sean,

1444
01:25:55,600 --> 01:25:59,240
Speaker 1: is that, um, with everything that's gone on, I do

1445
01:25:59,360 --> 01:26:03,599
Speaker 1: believe this was bio attack. It was another Pearl Harbor

1446
01:26:03,920 --> 01:26:07,760
Speaker 1: nine to eleven, and there needs to be we need

1447
01:26:07,800 --> 01:26:10,240
Speaker 1: to deal with it. We need to deal with China,

1448
01:26:10,320 --> 01:26:12,920
Speaker 1: and it needs to be dealt with economically. And I

1449
01:26:12,960 --> 01:26:16,679
Speaker 1: don't know why our governor has got us lockdown talking

1450
01:26:16,680 --> 01:26:20,200
Speaker 1: about the negativity. Instead of going down to Mexico and

1451
01:26:20,240 --> 01:26:22,439
Speaker 1: finding out how we can trade with them, we should

1452
01:26:22,439 --> 01:26:25,280
Speaker 1: start trading with them imposed to give them the money

1453
01:26:25,320 --> 01:26:28,400
Speaker 1: instead of China. There's things that they can make that

1454
01:26:28,640 --> 01:26:31,639
Speaker 1: China made that we can buy and we can help

1455
01:26:31,640 --> 01:26:35,040
Speaker 1: them grow their economy their country, and we can there

1456
01:26:35,080 --> 01:26:39,480
Speaker 1: are neighbors. Why isn't that happening? Listen, I'm not disagreeing

1457
01:26:39,479 --> 01:26:41,479
Speaker 1: what China did to the world. There needs to be

1458
01:26:41,520 --> 01:26:43,920
Speaker 1: a day of reckoning and I mentioned it earlier, but

1459
01:26:44,000 --> 01:26:47,639
Speaker 1: just in passing and the who is now defending them again,

1460
01:26:48,360 --> 01:26:51,599
Speaker 1: So they shouldn't get a penny now as it relates

1461
01:26:51,640 --> 01:26:54,160
Speaker 1: to what we The lessons learned that I posted on

1462
01:26:54,200 --> 01:26:57,719
Speaker 1: Twitter today about Corona, one of them is never trust China.

1463
01:26:57,880 --> 01:27:02,520
Speaker 1: They lied to us and peep died. They literally misled

1464
01:27:02,560 --> 01:27:06,320
Speaker 1: the world. Then they then went out there and sucked

1465
01:27:06,400 --> 01:27:09,760
Speaker 1: up and started hoarding every bit of medical equipment then

1466
01:27:09,880 --> 01:27:12,679
Speaker 1: selling it to us at a profit. Now we've learned

1467
01:27:12,680 --> 01:27:17,160
Speaker 1: that we can't rely on them for anything, especially medical

1468
01:27:17,160 --> 01:27:22,840
Speaker 1: equipment and pharmaceuticals and the agents for pharmaceuticals. I mean,

1469
01:27:23,040 --> 01:27:25,479
Speaker 1: we ought to learn a lesson, just like we needed

1470
01:27:25,520 --> 01:27:29,000
Speaker 1: to become energy independent. Trump made that happen. And Trump

1471
01:27:29,080 --> 01:27:31,960
Speaker 1: has been way ahead of the curve on China and

1472
01:27:32,000 --> 01:27:34,800
Speaker 1: those jobs were coming back and they will come back

1473
01:27:35,200 --> 01:27:39,200
Speaker 1: if we can open this country up. Now do it

1474
01:27:39,240 --> 01:27:42,800
Speaker 1: like yesterday Robert Kraft was like, yes, we're opening the

1475
01:27:42,960 --> 01:27:46,519
Speaker 1: NFL on time with people in the stands. When he

1476
01:27:46,560 --> 01:27:48,600
Speaker 1: said that last night, I wanted to do a backflip.

1477
01:27:49,760 --> 01:27:52,840
Speaker 1: You're right, we gotta fix it. You're dead on right.

1478
01:27:53,880 --> 01:27:56,519
Speaker 1: All right, Let's go to Tom and North Carolina. Tom,

1479
01:27:56,560 --> 01:27:59,679
Speaker 1: what's happening, sir? How are you? How are you? Mister Hannity.

1480
01:28:00,080 --> 01:28:03,679
Speaker 1: I'm for taking my call. Thank you? Like you, I don't.

1481
01:28:03,800 --> 01:28:06,479
Speaker 1: I want to see stuff opened up. And because of you,

1482
01:28:06,520 --> 01:28:10,360
Speaker 1: I started a business. It's called the Sandy Cord. And

1483
01:28:10,560 --> 01:28:13,640
Speaker 1: what it is. It's a screening and sanitizing process of

1484
01:28:13,640 --> 01:28:16,600
Speaker 1: people who want to go to large events. H You know,

1485
01:28:16,640 --> 01:28:21,519
Speaker 1: we go through checking temperatures, applying sanitizer not only to

1486
01:28:21,600 --> 01:28:24,880
Speaker 1: the hands and face, but also the whole external body.

1487
01:28:25,160 --> 01:28:27,960
Speaker 1: What are you gonna like shoot purella up? Everybody's nose.

1488
01:28:28,000 --> 01:28:30,840
Speaker 1: What are you what are you talking about? Now? So

1489
01:28:30,960 --> 01:28:33,519
Speaker 1: like you'll go through one of the temperature turnstiles, then

1490
01:28:33,560 --> 01:28:35,439
Speaker 1: what's the next step about face and hands? What are

1491
01:28:35,439 --> 01:28:37,519
Speaker 1: you gonna do? People are gonna want their hands and

1492
01:28:37,640 --> 01:28:41,800
Speaker 1: face cleaned by somebody. No no, no, not clean by somebody.

1493
01:28:41,840 --> 01:28:46,040
Speaker 1: They will do it themselves. I've been dealing with a

1494
01:28:46,040 --> 01:28:48,800
Speaker 1: plasma center here lately, and that's pretty much what we do.

1495
01:28:48,880 --> 01:28:52,280
Speaker 1: When when the patients come in or the donors come in,

1496
01:28:52,800 --> 01:28:56,040
Speaker 1: they have their temperture check, they walk over to one

1497
01:28:56,080 --> 01:28:59,280
Speaker 1: of the automatic hand sanitizers dispensers, they put it on

1498
01:28:59,320 --> 01:29:01,400
Speaker 1: their hand and then rubbed their face as well, because

1499
01:29:01,640 --> 01:29:04,240
Speaker 1: you know, that's get keeping their hands in face a

1500
01:29:04,240 --> 01:29:06,439
Speaker 1: lot cleaner in the environment. I love it. Do you

1501
01:29:06,479 --> 01:29:09,080
Speaker 1: have do you have an actual like website product line

1502
01:29:09,080 --> 01:29:11,639
Speaker 1: that we can take a look at? It is? It

1503
01:29:11,720 --> 01:29:14,000
Speaker 1: is d sandycore dot com. Now I just threw it

1504
01:29:14,080 --> 01:29:17,519
Speaker 1: up May e eleventh, but it's it's just really it's in.

1505
01:29:17,800 --> 01:29:21,280
Speaker 1: You know, it's look at, but it's some it's needed. Look.

1506
01:29:21,400 --> 01:29:23,400
Speaker 1: I'm just saying for the interim. The only thing I

1507
01:29:23,400 --> 01:29:25,320
Speaker 1: add to that is what everyone is yelling at me

1508
01:29:25,360 --> 01:29:27,719
Speaker 1: about is if you want stadiums to open, it's probably

1509
01:29:27,720 --> 01:29:30,840
Speaker 1: gonna mean temporarily masks, you know, but you'll have your

1510
01:29:30,840 --> 01:29:34,800
Speaker 1: mask with your I disagree with that at all. Uh No.

1511
01:29:34,880 --> 01:29:37,720
Speaker 1: And but you know from that steff On, there is

1512
01:29:37,960 --> 01:29:41,639
Speaker 1: a product. It's a pressurized alcohol that you can spray

1513
01:29:41,720 --> 01:29:44,960
Speaker 1: when I say the rest of their external it's just

1514
01:29:45,000 --> 01:29:46,840
Speaker 1: sprayed on the clothing and the arms, and you know

1515
01:29:47,040 --> 01:29:49,400
Speaker 1: you're not spraying the face, of course, but you know

1516
01:29:49,439 --> 01:29:52,160
Speaker 1: it's it's just a matter of it's there's a love it.

1517
01:29:53,320 --> 01:29:56,040
Speaker 1: I'm gonna take a look at it after the show. Thanks,

1518
01:29:56,120 --> 01:29:59,759
Speaker 1: thanks for calling. I appreciate it, Tom, I love the ingenuity.

1519
01:29:59,760 --> 01:30:02,479
Speaker 1: A right Henry and New Joyce. What's up? Henry? Your

1520
01:30:02,600 --> 01:30:05,559
Speaker 1: governor messed up big time with his executive order? How

1521
01:30:05,600 --> 01:30:08,439
Speaker 1: are you, hey, Sean? How are you doing? I'm good, sir,

1522
01:30:09,360 --> 01:30:11,800
Speaker 1: h I'll get it right to it. I think I

1523
01:30:11,880 --> 01:30:14,280
Speaker 1: got a great idea for a charity event. Yeah, what

1524
01:30:14,479 --> 01:30:16,960
Speaker 1: is it to raise money for the doctors and nurses

1525
01:30:16,960 --> 01:30:22,360
Speaker 1: and everything. I think you rush Levin, Bungino and whoever

1526
01:30:22,360 --> 01:30:25,240
Speaker 1: else you want. Uh should have a pay per view

1527
01:30:25,400 --> 01:30:31,760
Speaker 1: to beat against Acosta. Matt El, Humpty Dumpy Freedom on

1528
01:30:32,160 --> 01:30:35,160
Speaker 1: I mean, I tell you the truth. I think you

1529
01:30:35,200 --> 01:30:37,960
Speaker 1: would make a ton of money because I know I

1530
01:30:38,000 --> 01:30:42,720
Speaker 1: would love to see it. Uh listen, if it's for

1531
01:30:42,880 --> 01:30:45,400
Speaker 1: a charity, I'm I'm never gonna say no to you know,

1532
01:30:45,439 --> 01:30:49,720
Speaker 1: whenever I can. I never, I never say no to charities. Um,

1533
01:30:49,760 --> 01:30:52,040
Speaker 1: I don't think you're I don't think it's it would

1534
01:30:52,120 --> 01:30:55,519
Speaker 1: happen for because there's many people, for many reasons that

1535
01:30:55,560 --> 01:30:58,640
Speaker 1: would never do it. Um or or maybe like a

1536
01:30:58,640 --> 01:31:02,040
Speaker 1: softball game, the conservative versus the Libs, something like that,

1537
01:31:02,800 --> 01:31:06,040
Speaker 1: but we'll have to have like literally buffer zones, safe

1538
01:31:06,120 --> 01:31:08,200
Speaker 1: zones for people so they don't kill each other. But

1539
01:31:08,760 --> 01:31:10,800
Speaker 1: you know, I would always be open to something like that.

1540
01:31:10,840 --> 01:31:15,240
Speaker 1: You know, I'm I still am active athletic sports constantly.

1541
01:31:16,040 --> 01:31:19,519
Speaker 1: I do my mixed martial arts. By the way, how

1542
01:31:19,560 --> 01:31:21,880
Speaker 1: great is Dana White. He's now gonna like open up

1543
01:31:21,880 --> 01:31:26,519
Speaker 1: pay per view events in an island somewhere, and you

1544
01:31:26,560 --> 01:31:28,439
Speaker 1: know what good for him? With the new Avid Test,

1545
01:31:28,520 --> 01:31:30,880
Speaker 1: you can test all of the fighters. They can get

1546
01:31:30,880 --> 01:31:34,000
Speaker 1: any octagon. I always watch pay per view anyway. I

1547
01:31:34,640 --> 01:31:38,200
Speaker 1: think I've purchased every fight imaginable. But I love you, right,

1548
01:31:38,320 --> 01:31:40,120
Speaker 1: you know what we're talking about here, which is fun.

1549
01:31:40,320 --> 01:31:43,439
Speaker 1: For the first time, we're actually sounding like we're living again.

1550
01:31:44,840 --> 01:31:48,479
Speaker 1: We gotta live again. I want to live. I want

1551
01:31:48,560 --> 01:31:52,599
Speaker 1: to be free. And we've learned what it's like not working.

1552
01:31:53,040 --> 01:31:56,080
Speaker 1: It sucks. I've always I've always known and said that,

1553
01:31:56,479 --> 01:31:58,800
Speaker 1: you know you're gonna be great. You retire, all right,

1554
01:31:58,840 --> 01:32:02,080
Speaker 1: first thirty days you you go hunting, your play golf.

1555
01:32:02,800 --> 01:32:07,519
Speaker 1: Then what's next. I'll be bored. I will I'll be

1556
01:32:07,680 --> 01:32:10,559
Speaker 1: driving around Linda right or wrong in my car and

1557
01:32:10,640 --> 01:32:13,160
Speaker 1: I'll be doing my own talk show, talking to yourself.

1558
01:32:13,680 --> 01:32:16,080
Speaker 1: I'll be talking to myself. People will look at the

1559
01:32:16,120 --> 01:32:20,360
Speaker 1: strange guy in the car talking to himself, saying, oh,

1560
01:32:20,439 --> 01:32:23,240
Speaker 1: Leo from Memphis, you're on next. We're not gonna have

1561
01:32:23,240 --> 01:32:24,920
Speaker 1: time for Leo. Are we all right? We gotta run

1562
01:32:25,040 --> 01:32:27,120
Speaker 1: all right? That's all the time. We have Lawrence Jones,

1563
01:32:27,160 --> 01:32:29,960
Speaker 1: Governor DeSantis, Chris Christie, news from the d O J.

1564
01:32:30,120 --> 01:32:32,880
Speaker 1: Matt Gates, Dennis Miller, nine Eastern back here tomorrow. Thanks

1565
01:32:32,920 --> 01:32:33,559
Speaker 1: for being with us.