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Speaker 1: You are entering the freedom hunt. The battle to reopen

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Speaker 1: America is underway. South Carolina has got its stores and

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Speaker 1: beaches coming back into action soon. Florida has opened some

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Speaker 1: of its beaches. Meanwhile, New Jersey cops are using drones

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Speaker 1: to spy on you in your backyard. Was the NYC

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Speaker 1: subway the super spreader of COVID nineteen Sweden says its

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Speaker 1: approaches working. Paycheck protection, however, is failing an oral hated

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Speaker 1: journals too. That and more coming up. This is the

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Speaker 1: Buck Sexon Show, where the mission or mission is to

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Speaker 1: decode what really matters with passionable intelligence. Make no mistake

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Speaker 1: a great here, a great American Again, the Buck Sexon

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Speaker 1: Show begins. He's a great guy. No, We've already built

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Speaker 1: sufficient testing capacity nationwide for states to begin their reopenings,

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Speaker 1: and I think you'll be hearing a lot about reopenings

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Speaker 1: in the coming weeks and months. Most excitingly, in the

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Speaker 1: coming weeks, I think you're going to see some very

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Speaker 1: dramatic steps taken and very safely. We're putting safety first.

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Speaker 1: We may be opening, but we're putting safety first. Welcome

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Speaker 1: the Buck sac and share everybody. Hope you had a

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Speaker 1: good weekend. Thank you so much for being here. All Right,

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Speaker 1: this is where we are now as a country, the

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Speaker 1: single most important issue for all of us to decide,

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Speaker 1: and we all must have a voice in this one.

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Speaker 1: We all have to have an opinion. We should share

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Speaker 1: our opinions, we should have our voices heard. When do

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Speaker 1: we get to start living our lives again, at least

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Speaker 1: in part. I'm not saying we get to go back

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Speaker 1: to normal tomorrow or next month, or at this rate

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Speaker 1: even next year. I'm just saying we have to start

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Speaker 1: pushing for normalcy, start moving in that direction, start deciding

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Speaker 1: that this is something that we're going to do, even if, yes,

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Speaker 1: it is imperfect and there are risks attached to it.

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Speaker 1: I've been saying all along. People need to understand life

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Speaker 1: has risk. You leave, you leave your apartment, bad things

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Speaker 1: or your house Bess sor I'm in New York's always

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Speaker 1: think of apartments. Bad things can happen to you. I'm

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Speaker 1: reminded of the scene in the movie Heat, which I

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Speaker 1: think just had its twentieth anniversary in the last couple

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Speaker 1: of weeks, where al Pacino tells a would be informant

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Speaker 1: a snitch. In fact, either he had killed walking your doggie.

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Speaker 1: And he bangs on the table because in the classic

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Speaker 1: Pacino moment, he overacts a little bit. I like Pecito,

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Speaker 1: but sometimes a little too far. But it is true.

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Speaker 1: You can, in fact, it killed walking your doggie, which

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Speaker 1: I'm reminded of every time I go outside walking too. Lula.

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Speaker 1: Here in the midst of what we're seeing as a

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Speaker 1: pandemic worse in New York than anywhere else in the

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Speaker 1: country and perhaps even the world, I want to break

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Speaker 1: down for you. I finally saw a paper that looks

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Speaker 1: at how the subway system may very well have been

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Speaker 1: the huge negative factor here for New York. Many of

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Speaker 1: us have thought that all along. I've been telling my

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Speaker 1: family members that, And there's a lot to unpack there.

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Speaker 1: It means a lot for you. If you live in Nebraska,

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Speaker 1: what's up kfab Omaha. If you live in Austin, what's

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Speaker 1: up KLBJ Austin. If you live in San Diego or Denver,

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Speaker 1: or you name it, and you hear about the New

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Speaker 1: York City subway research that's been done now on the

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Speaker 1: spread of this virus, you might say, Okay, that makes sense,

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Speaker 1: and we don't have four million people a day getting

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Speaker 1: on the subway, so or four million subway rides, I

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Speaker 1: should say, So maybe we're in a very different situation

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Speaker 1: than New York. So that's important. Even if you're not

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Speaker 1: in the Tri state area, it's important for you to

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Speaker 1: hear that analysis. I really dug into it over the weekend.

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Speaker 1: Lines up with what I've thought all along. It all

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Speaker 1: makes to those of us who know the city, it

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Speaker 1: all makes sense, and it will be I think encouraging

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Speaker 1: for you in other parts of the country who are saying,

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Speaker 1: hold on a second, why can't we open of be

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Speaker 1: encouraging for you to hear that if you don't have

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Speaker 1: a mass transportation system that the city is completely reliant

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Speaker 1: on you are in that that is why you are

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Speaker 1: in and will continue to be in much better shape

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Speaker 1: than we are here in New York. So, as I

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Speaker 1: was saying, we have a lot to dig into today,

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Speaker 1: but my biggest, my biggest initial takeaway for all of

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Speaker 1: you is that we are getting a reminder here that

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Speaker 1: we are seeing something that many of us have known

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Speaker 1: all along was going to be a reality. But we're

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Speaker 1: only one month into this lockdown and we're getting constant

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Speaker 1: reminders that even during a crisis or perhaps especially during one.

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Speaker 1: Allowing the government to determine the extent of its own

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Speaker 1: powers is a very bad idea. This is a lesson

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Speaker 1: we have seen countless times throughout history. But we always

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Speaker 1: we always forget it when we're scared, don't we. We

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Speaker 1: forget at the moment that it seems we need the

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Speaker 1: government to keep us safe and warm, we need the

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Speaker 1: government to protect us. The government is always going to

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Speaker 1: disappoint you, and I need you to remember, folks, this

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Speaker 1: is not about Trump right now, meaning that this analysis

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Speaker 1: that I'm giving you on the ineptitude of government, Trump

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Speaker 1: is better at what he is doing at his position

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Speaker 1: in government than other presidents. True, but there are still

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Speaker 1: limitations of government. I think even the President himself would

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Speaker 1: admit that, although you know he has a very high

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Speaker 1: opinion of his ability, still there are going to be

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Speaker 1: shortcomings for the government. The paycheck protection program. I spoke

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Speaker 1: to a very good friend of mine over the weekend

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Speaker 1: who walked me through in detail what his company is

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Speaker 1: going through right now. One hundred thousand dollars of payroll

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Speaker 1: they can't meet for the next couple of months. Do

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Speaker 1: you think they're and any money from paycheck protection zero dollars,

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Speaker 1: no money left in a piggybank. Harvard got to think

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Speaker 1: it was nine million, and they've got a forty billion

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Speaker 1: dollar endowment. And the government turns around and tell us

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Speaker 1: people who are getting who are having to lay off

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Speaker 1: their employees, lay off there the people that have built

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Speaker 1: these companies, Oh no, sorry, there's no money left for you.

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Speaker 1: How is there no money left? And then we're talking

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Speaker 1: about a five hundred billion dollars bailout fund for state

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Speaker 1: and local governments. My friends, here's really where we are

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Speaker 1: on this. The government has shown us exactly why we

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Speaker 1: need limitations on its authority, limitations on its power, why

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Speaker 1: we have a bill of rights. We've been reminded of

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Speaker 1: all this and just the last four to six weeks,

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Speaker 1: because you see, the tradeoff isn't give away your rights

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Speaker 1: and we'll make everything better. That's not the tradeoff that

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Speaker 1: government makes. The tradeoff, especially during a crisis, is give

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Speaker 1: away or we will take away your rights, and then

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Speaker 1: the thing that we promise you in return will be

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Speaker 1: delivered as a half measure and won't be nearly as good,

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Speaker 1: or as safe or as helpful as we claim it

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Speaker 1: will be. And the moment you have a problem with it,

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Speaker 1: We'll tell you. Shut up, peasant, it's a crisis. Go

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Speaker 1: back inside. Go look at your empty bank account and

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Speaker 1: your children, and your wife and your husband, and your

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Speaker 1: aunts and uncles and whoever else you're supporting, your grandkids.

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Speaker 1: Go back and look them in the eye and say sorry,

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Speaker 1: can't do anything about this. The government told me no work,

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Speaker 1: stay indoors. It's getting worse and worse here in New York.

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Speaker 1: The situation with the virus is getting better, but the

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Speaker 1: overreach and the insanity of the liberal mentality is unfortunately

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Speaker 1: growing with every day. Oh wow, you mean that we

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Speaker 1: can tell people do as I say or else with

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Speaker 1: any aspect of their life. Anything. You can't go outside

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Speaker 1: and things unless we say you can. You can't leave

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Speaker 1: your home unless we tell you can. We can put

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Speaker 1: you under virtual house arrest while you're healthy and have

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Speaker 1: done nothing wrong because we say so. You ever have

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Speaker 1: the experience that I've had this in in DC many times.

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Speaker 1: I've had it in New York too, where there will

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Speaker 1: be some motorcade for any president doesn't matter. And the sometimes,

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Speaker 1: and I will say it, I have friends who are

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Speaker 1: in the Secret Service. I do, but sometimes a Secret

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Speaker 1: Service can be deeply imperious and jerks when it comes

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Speaker 1: to things like this. I've I've had it happened to

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Speaker 1: me a few times where they're unnecessarily snippy when you

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Speaker 1: ask Sarah, you know, can I can I cross this?

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Speaker 1: You know, I'm always very polite to anybody who's doing

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Speaker 1: their job, trust me. But you know you've had that moment,

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Speaker 1: you know, can I can I cross the street? I've

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Speaker 1: got to get to work or how long will it be?

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Speaker 1: Or I'm gonna call my boss? You know, quiet stay

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Speaker 1: here till we say so. I mean, I've had that

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Speaker 1: interaction with secrets there. I remember once one of them

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Speaker 1: told me to move to the left and I moved

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Speaker 1: to the left and he said your other left, And

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Speaker 1: I said, well, brilliant man, you said left, and that's

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Speaker 1: my left if you wanted your left. You know, but

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Speaker 1: this is the stuff you deal with the Secret Service.

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Speaker 1: Sometimes some of them are great. I'm not. I'm not

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Speaker 1: I'm saying, but I've had a few. But it's a

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Speaker 1: little bit like the Praetorian Guard telling you this is

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Speaker 1: the way it is. Can't get home too bad. We

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Speaker 1: need a six block perimeter for the president. You know,

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Speaker 1: we need to have a battalion's worth of agents and

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Speaker 1: police and everybody else around with machine guns and everything,

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Speaker 1: just in case it's absurd. What I mean really is

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Speaker 1: is are the North Koreans para dropping into Central Park

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Speaker 1: right now? Get out of here. It's out of control.

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Speaker 1: Anyone who's living in DC knows. And you sit there

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Speaker 1: and you realize, wow, so this is what really are

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Speaker 1: my rights here? Can the Secret Service tell me that

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Speaker 1: I can't cross the street, that I have to stand

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Speaker 1: on this corner for six hours, can't go to the bathroom,

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Speaker 1: can't do anything. I'm stuck here, I can't can I'm

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Speaker 1: I'm effectively under arrest because they say so. Now, some

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Speaker 1: of you may have had this experience before I have,

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Speaker 1: And you say, what really are the limitations of the

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Speaker 1: government's authority here? And you start to realize that there's

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Speaker 1: that part of you, that deeply human yearning for autonomy

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Speaker 1: and freedom and respect, And you say, hold on a second,

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Speaker 1: what is really the justification for this? Oh? Because you know,

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Speaker 1: the presidential the vice president or whoever it is, is

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Speaker 1: less safe by what me The former CIA officer who's

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Speaker 1: trying to get home through his apartment, who has no backpack,

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Speaker 1: no weapon, no nothing on him whatsoever. Like, what are

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Speaker 1: we really doing here? You got to ask yourself. But

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Speaker 1: we're all getting a little taste of that feeling right

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Speaker 1: now of stay where we tell you you didn't do

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Speaker 1: anything wrong, shut up and do what you're told. This

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Speaker 1: is this is now the argument that you're getting, especially

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Speaker 1: when oh the data, my friends, and I'm I'm not

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Speaker 1: going to forget all the journals running around. You just

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Speaker 1: want grandma to die. No, the data shows that social

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Speaker 1: distancing and basic precautions, of course helpful for preventing the

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Speaker 1: spread of COVID nineteen or any respiratory disease. Locking down,

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Speaker 1: staying at home, can't go to work, even with mask

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Speaker 1: and gloves on, even if you're young and healthy and

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Speaker 1: at low risk, school shut down. The data does not

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Speaker 1: show these to be good ideas. And you know what's

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Speaker 1: going to happen. The government is going to want to

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Speaker 1: just move past this as quickly as possible in some places,

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Speaker 1: and other places are going to double down even more

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Speaker 1: because the longer they extend the lockdown, the harder will

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Speaker 1: be to look at the data as we have it

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Speaker 1: right now and say, hold on a second, you guys

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Speaker 1: are doing exactly the right You're doing the wrong thing here.

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Speaker 1: We start to loosen, we start to open up a

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Speaker 1: little bit, and we see that there's no big spike

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Speaker 1: in cases. Well, why have we been doing this for

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Speaker 1: over a month? And I mean in New York, it's

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Speaker 1: really six weeks. You've been on de facto lockdown. But

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Speaker 1: if you ever have a question about what the government's

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Speaker 1: really like, just remember right now in New Jersey there's

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Speaker 1: law enforcement that are they're using drones, drones that I

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Speaker 1: believe are manufactured in China. So just put that in

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Speaker 1: your pipe and smoke it. You got drones being manufactured

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Speaker 1: and they're being used to spy on people in their

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Speaker 1: own backyards to see if they're engaging in sufficient social distancing.

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Speaker 1: If you had written this in some kind of dystopian

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Speaker 1: novel about the transition to an authoritarian technocratic society or

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Speaker 1: technology based society, if you had written that, people say, oh,

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Speaker 1: come on, an, we're already there. They're doing it, and

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Speaker 1: then they're proud of it. Producer Mark, do we even

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Speaker 1: have the Do we have that clip? I sent it

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Speaker 1: to you last minute. It's all right if we don't

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Speaker 1: have it. No, Yeah, whatever. There's a clip of a

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Speaker 1: local newscaster in New Jersey here. I'll tell you I'm

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Speaker 1: just as good at it as a newscaster. Oh, look

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Speaker 1: at these drones that they're using to enforce social distancing.

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Speaker 1: Guess what that should put all of us on edge.

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Speaker 1: They're gonna send drones to spy on you in your

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Speaker 1: backyard to make sure you're not hanging out with what

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Speaker 1: too many family members? You've got twelve people in the backyard.

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Speaker 1: This is what they're really doing. We don't even know

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Speaker 1: how many people in New York and New Jersey have

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Speaker 1: been infected psyology testing. Here's what I can tell you

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Speaker 1: about zerology testing. We don't know the real numbers yet.

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Speaker 1: It's very hard, and you're trying to extrapolate out to

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Speaker 1: a much broader sample, a much broader size population than

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Speaker 1: what you're dealing with in the sample. But guess what

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Speaker 1: all serology testing, and I'll give you some of the

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Speaker 1: numbers on all of its shows that there are vast

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Speaker 1: numbers of people beyond the established cases who have been

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Speaker 1: exposed to and have COVID nineteen eighty bodies. It's at

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Speaker 1: least ten x, maybe more like fifty to seventy five

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Speaker 1: x the actual established cases in some places. So there

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Speaker 1: are a lot of people that are being told stay

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Speaker 1: home who have effectively they don't know it, yet have

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Speaker 1: effectively zero risk of getting or spreading this disease, unless

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Speaker 1: it turns out you can't be immune from it even

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Speaker 1: if you get it. And if that's the case, my friends,

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Speaker 1: we got big problems. But I don't think that's that

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Speaker 1: would be specific to this respiratory infection, and why would

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Speaker 1: that be Why would that be the case, unless, of

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Speaker 1: course somebody was tinkering with us somewhere in the lab.

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Speaker 1: But that's a conversation for another time, and I do

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Speaker 1: mean that we will have that conversation another time. We

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Speaker 1: limit government authority, regardless of how benevolent they think their

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Speaker 1: intentions are. We maintain individual autonomy, We maintain our freedoms

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Speaker 1: on our right to choose how we live our day

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Speaker 1: to day lives, not you know, infringing on other people,

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Speaker 1: not stealing their stuff, not hurting them. But what we

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Speaker 1: see here is that the government that's not sufficient do

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Speaker 1: as we say, based on faulty data, based on panic

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Speaker 1: because the liberal journal establishment, the Democratic Party, and yes,

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Speaker 1: much of the Republican Party got dragged into a moment

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Speaker 1: of political panic, and so all the rest of us

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Speaker 1: were told stay home, do as we say, or else. Sorry,

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Speaker 1: you don't have a paycheck, We'll get you a paycheck. Oh,

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Speaker 1: we can't get you the paycheck because we're too stupid

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Speaker 1: to shovel as the government. We're too stupid to shovel

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Speaker 1: your own money out of a helicopter fast enough to

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Speaker 1: you after we've told you you can't work. Welcome to government,

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Speaker 1: my friends. It's always been this way. We're just seeing

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Speaker 1: once again why this will never change. It's a lesson

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Speaker 1: that we keep forgetting, and we are learning it once again.

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Speaker 1: You're in the Freedom Hunt. This is the Buck Sex

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Speaker 1: and Show Podcast. New Yorkers. You have been extraordinary at

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Speaker 1: social distancing, and let me tell you, it has taken

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Speaker 1: every fiber of our beings to figure out how to

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Speaker 1: do this. Because we're warm, emotional people. We're used to

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Speaker 1: being close to each other, we're used to being packed

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Speaker 1: into subway cars, and we've had to do the exact

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Speaker 1: opposite and figure out how to keep distance. It's not

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Speaker 1: natural for us, it's not normal for us, but done it.

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Speaker 1: You've done an amazing job. Now, look, thank you everyone

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Speaker 1: who's done it the right way, but we still know

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Speaker 1: there's some people need to get the message, and that

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Speaker 1: means sometimes making sure the enforcement is there to educate

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Speaker 1: people and make clear we've got to have social distancing.

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Speaker 1: So now it is easier than ever. When you see

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Speaker 1: a crowd, when you see a line that's not distanced,

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Speaker 1: when you see a supermarket that's too crowded, anything, you

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Speaker 1: can report it right away so we can get help

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Speaker 1: there to fix the problem. And now it's as simple

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Speaker 1: as taking a photo. The Stazi. We're famous in East

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Speaker 1: Germany for having informants everywhere. In fact, this was also

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Speaker 1: true in the Soviet Union. But the Stasi really applied

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Speaker 1: German Prussian efficiency to the process of miking up, putting

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Speaker 1: a microphone in every room in every home in society,

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Speaker 1: and turning everyone into an informant. And in fact, there

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Speaker 1: was a hero within the Soviet Union. I forget his name.

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Speaker 1: Now some of you will be tweeting an app or

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Speaker 1: texting me I'm sure, or sending me messages in a

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Speaker 1: moment about it. But who was a hero held up

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Speaker 1: as a boy who ranted on his parents to the

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Speaker 1: secret police in the Soviet Union. You know what a

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Speaker 1: great hero that was. Now I understand that this is

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Speaker 1: unlike the Stazi and the secret police and the KGB

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Speaker 1: and all the rest of it, in that no one's

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Speaker 1: going to get a photo taken of them social distance,

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Speaker 1: lacking the proper social distance outside of a grocery store,

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Speaker 1: and be locked up for a long time. But businesses

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Speaker 1: are already under tremendous pressure. People are under a lot

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Speaker 1: of pressure right now, and we're gonna encourage one another

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Speaker 1: to take photos and snitch. Here's the problem. You know

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Speaker 1: Garcetti in La you know there's that whole Snitches get

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Speaker 1: Stitches a campaign which was bad, which was about people

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Speaker 1: not speaking out and telling the cops when someone commits

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Speaker 1: a crime. Well, Garcetti has a sort of snitches get

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Speaker 1: riches campaign where if you snitch on somebody for not

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Speaker 1: social distance or for a business being open, you get money,

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Speaker 1: you get a reward, a bounty system in place. There

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Speaker 1: are so many problems I have with this, my friends.

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Speaker 1: And as I was saying before, it's a reminder that

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Speaker 1: government always overreaches if you let it, that government always

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Speaker 1: wants more power and more authority. The people in charge

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Speaker 1: think they're smarter and wiser and better than they are.

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Speaker 1: That's just the nature of government. That's why our government

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Speaker 1: is built on restraining power. But the things that we're

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Speaker 1: being told to do, now, some of them, I'm seeing

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Speaker 1: people running all over New York jogging, I mean running,

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Speaker 1: jogging with faces masks on. This is crazy. You don't

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Speaker 1: need to jog with a face mask on. You're not

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Speaker 1: going to infect anyone when you're jogging because you can

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Speaker 1: maintain more than six feet of distance if you're jogging

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Speaker 1: and they're all walking. Thanks for listening to the bus

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Speaker 1: sts and show podcasts. Remember to subscribe on Apple podcasts,

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Speaker 1: at the iHeart Radio app or wherever you get your podcasts.

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Speaker 1: You know, this is not about Democrats Republicans. This is

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Speaker 1: about a thing that hit our country, the likes of

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Speaker 1: which has never happened to us before. It shouldn't be

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Speaker 1: about democrat a Republican, but we know that the left

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Speaker 1: has already made it. So we know that they are

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Speaker 1: already doing everything they can to make sure that Donald

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Speaker 1: Trump is not president again because of this crisis that

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Speaker 1: he has blamed for, this crisis that it's viewed as

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Speaker 1: being his fault. It's on him Nancy Pelosi. I mean,

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Speaker 1: if you're wondering, am I am I exaggerating us? And

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Speaker 1: oh we'll get to Pelosi. Let them eat cake Pelosi,

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Speaker 1: or let them eat artisan ice cream. We'll get to her.

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Speaker 1: And just a little bit later on in the show

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Speaker 1: again on how little she seems to care about the

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Speaker 1: destruction that the delay, that she is the she is

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Speaker 1: the person, she is responsible for what that's doing to people.

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Speaker 1: But here she is saying that this is really that

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Speaker 1: the virus is. You know, you hear people say stuff

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Speaker 1: like this, and then when I'll say, you know, on

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Speaker 1: Twitter or somewhere, I'll be like, hey, you know, Democrats,

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Speaker 1: stop saying it's Trump's fault. Is it who says it's

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Speaker 1: Trump's fault? I mean, basically the gay facto ahead of

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Speaker 1: the Democratic Party Nancy Pelosi, play clip nineteen. The second

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Speaker 1: bill was mask, Mask, Mask, and trying to facilitate the

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Speaker 1: personal protective equipment that we don't really have as much

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Speaker 1: as we need it when we needed it because the

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Speaker 1: President wouldn't do Defense Production Act. So the situation we're

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Speaker 1: in is largely of his making calling it a hoax,

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Speaker 1: saying would magically disappear, not calling upon the Defense Production

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Speaker 1: Act to protect the workers who are trying to save

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Speaker 1: lives as they risk their own lives in doing so.

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Speaker 1: Pelosi doesn't give a crap about workers. She doesn't. If

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Speaker 1: she did, how could she explain what she's doing right now,

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Speaker 1: holding up money to get people able to pay to

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Speaker 1: pay their workers so that payroll can continue to be

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Speaker 1: a source of support for millions of workers and their

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Speaker 1: families and the businesses that depend on them spending money.

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Speaker 1: You know, no one's really thinking about the second and

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Speaker 1: third order effects of this shutdown right now. I mean,

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Speaker 1: a few people that I come across are, but for

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Speaker 1: the most part, my friends, good gosh, do you realize

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Speaker 1: how many businesses that exist that employ tens of thousands,

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Speaker 1: hundreds of thousands of people are They're not coming back

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Speaker 1: for perhaps years, if ever, I'm not just talking about

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Speaker 1: small businesses. What does anyone really think that the tourism

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Speaker 1: industry and the Caribbean is going to be in good shape?

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Speaker 1: Think of how many islands. I know this is that

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Speaker 1: we're not talking about generally American American territory here, but

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Speaker 1: think of how many people in the Caribbean, or how

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Speaker 1: many people on US soil that work in tourism industry

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Speaker 1: places down and you know South Beach in Miami and Etta,

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Speaker 1: what's going to happen to them? The hotels are empty.

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Speaker 1: That means that means that there's no money to pay,

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Speaker 1: you know, the maids, the servers, the staff, the chefs,

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Speaker 1: the bellhops, you name it, nobody no money. But but

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Speaker 1: Pelosi thinks the problem is that is Donald Trump. He's

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Speaker 1: trying to get money to them as fast as possible. Look,

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Speaker 1: I think the problem is and I know that would

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Speaker 1: have it would have been the pressure they created on

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Speaker 1: this one. Now they finally had it. They finally had

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Speaker 1: the moment where they were able to get Trump to

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Speaker 1: go against his instincts. It's the truth. Trump wanted to

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Speaker 1: open start. I should say Trump wanted to allow the country.

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Speaker 1: Let's be very specific here so that people can't twist

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Speaker 1: what I'm saying. Oh they'll do it anyway, jerks. But

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Speaker 1: Trump wanted to allow states to start moving toward greater

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Speaker 1: economic normalcy on Easter Sunday, remember that's what he said,

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Speaker 1: they were moving. That he should have that was the

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Speaker 1: right move. That would have been the right move. But

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Speaker 1: oh my gosh, you know, he would have been you know,

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Speaker 1: throwing Grahama off the rooftop. If he had done that,

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Speaker 1: I mean people would have just the media and the

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Speaker 1: Democrats and look, his own experts, his own public health experts,

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Speaker 1: who have just have been just wrong, wrong and wrong

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Speaker 1: again on this one. Gee, thanks so much. You know,

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Speaker 1: this is a bit a bit like when I was

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Speaker 1: in the CIA and we had to deal with the

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Speaker 1: reality of you know, we missed, we missed nine to eleven,

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Speaker 1: and then afterwards, I mean I wasn't there when that happens.

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Speaker 1: I can't blame me, but you know, we missed nine eleven,

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Speaker 1: and then afterwards we're being asked to make all these

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Speaker 1: assessments and calls about things like WMD we missed that

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Speaker 1: one too. At what point? At what point do people

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Speaker 1: have a right to say, I'm not sure that you

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Speaker 1: guys really know what you're doing. I'm not sure you're

428
00:23:45,200 --> 00:23:47,640
Speaker 1: really good at judgment or making calls. Maybe you're good

429
00:23:47,640 --> 00:23:51,560
Speaker 1: at providing basic information. Great, we've gotten that from our

430
00:23:51,600 --> 00:23:55,240
Speaker 1: healthcare the healthcare policy people. Remember I'm always separating out

431
00:23:56,000 --> 00:23:59,359
Speaker 1: frontline healthcare workers who are who are saving lives and

432
00:24:00,240 --> 00:24:03,879
Speaker 1: against the disease for individuals who desperately needed and that's fantastic,

433
00:24:03,920 --> 00:24:05,840
Speaker 1: and that's why I'm screaming and cheering out my window

434
00:24:05,840 --> 00:24:10,800
Speaker 1: every day. And then that the healthcare policy people who

435
00:24:10,840 --> 00:24:13,399
Speaker 1: are the ones making determinations that affect the economy, that

436
00:24:13,440 --> 00:24:15,720
Speaker 1: affect our lives, that affect the Bill of Rights and

437
00:24:16,040 --> 00:24:20,040
Speaker 1: individual freedom and rights and federalism, and you know, those

438
00:24:20,240 --> 00:24:26,200
Speaker 1: people at dad level not impressed. Folks not impressed. And

439
00:24:26,560 --> 00:24:28,760
Speaker 1: I've seen so many conservatives that have just been like,

440
00:24:28,840 --> 00:24:32,720
Speaker 1: it's not the flu. Thanks, that's really helpful. We know

441
00:24:32,840 --> 00:24:35,280
Speaker 1: it's not the flu. What do we do about it?

442
00:24:35,960 --> 00:24:38,959
Speaker 1: Hiding under the bed until the vaccine, which really for

443
00:24:39,000 --> 00:24:41,600
Speaker 1: a lot of people started to feel like that that

444
00:24:41,680 --> 00:24:45,000
Speaker 1: was what they wanted. That's insane. We can't do that.

445
00:24:45,040 --> 00:24:50,120
Speaker 1: The country's falling apart. Trump recognizes that Democrats. I look,

446
00:24:50,240 --> 00:24:52,480
Speaker 1: there are there are a high level Democrats, Pelosi among them.

447
00:24:52,560 --> 00:24:54,399
Speaker 1: Doesn't matter how much pain the country goes through, as

448
00:24:54,400 --> 00:24:56,920
Speaker 1: long as Trump doesn't economic pain, as long as Trump

449
00:24:56,960 --> 00:24:59,359
Speaker 1: doesn't win, they'll just come in and say, see what

450
00:24:59,400 --> 00:25:02,479
Speaker 1: he did you, we'll fix it all. We'll fix it all.

451
00:25:02,520 --> 00:25:05,040
Speaker 1: Don't worry about it. We'll make everything better. Just put

452
00:25:06,119 --> 00:25:09,760
Speaker 1: I mean, really, you know, here's the problem. With talking

453
00:25:09,760 --> 00:25:14,560
Speaker 1: about Biden, They're they're forcing us into some form of

454
00:25:15,080 --> 00:25:19,480
Speaker 1: rhetorical elder abuse here. You know, I've I've been around

455
00:25:19,680 --> 00:25:25,600
Speaker 1: relatives who have started to have dementia and have one case,

456
00:25:25,680 --> 00:25:28,679
Speaker 1: my great grandmother had really serious to mention. I remember,

457
00:25:28,720 --> 00:25:30,600
Speaker 1: I remember her being really scared when I'd be a

458
00:25:30,640 --> 00:25:32,320
Speaker 1: little kid to go visit her. I remember she didn't

459
00:25:32,359 --> 00:25:34,840
Speaker 1: know who I was. And I've seen all that, and

460
00:25:34,880 --> 00:25:37,159
Speaker 1: that's that's heartbreaking for anybody who's been around that and

461
00:25:37,240 --> 00:25:39,919
Speaker 1: seen that with any family member. But we're also in

462
00:25:39,920 --> 00:25:43,760
Speaker 1: this position where we're being told that somebody who clearly

463
00:25:43,800 --> 00:25:46,879
Speaker 1: fades in and out of that kind of you know,

464
00:25:47,080 --> 00:25:51,320
Speaker 1: he lacks a certain mental precision these days with Joe

465
00:25:51,359 --> 00:25:55,560
Speaker 1: Biden is supposed to be the person who is leading

466
00:25:55,560 --> 00:25:57,760
Speaker 1: this country at a very we'll be leading this country

467
00:25:57,840 --> 00:26:01,200
Speaker 1: relatively student at a very difficult time and making decisions

468
00:26:01,200 --> 00:26:03,440
Speaker 1: that impact all of our lives, and we're not allowed

469
00:26:03,480 --> 00:26:06,440
Speaker 1: to talk about that right where, you know that they're

470
00:26:06,440 --> 00:26:09,840
Speaker 1: putting us in a position where you have someone who

471
00:26:09,880 --> 00:26:13,359
Speaker 1: seems to be in the early stages of senility and

472
00:26:13,400 --> 00:26:15,640
Speaker 1: I really mean this, he really seems that way. But

473
00:26:16,320 --> 00:26:18,280
Speaker 1: you know, we don't want to we don't want to

474
00:26:18,280 --> 00:26:21,879
Speaker 1: be dismissive. We're rude about anybody who's dealing with that

475
00:26:21,960 --> 00:26:25,399
Speaker 1: actual problem the broader society. So it's almost like he

476
00:26:25,480 --> 00:26:28,720
Speaker 1: becomes a He's going to have the same victim protection

477
00:26:28,760 --> 00:26:31,040
Speaker 1: the Democrats use for so many other people. Right, he

478
00:26:31,080 --> 00:26:32,920
Speaker 1: gets to go out and talk about how great he

479
00:26:33,000 --> 00:26:34,720
Speaker 1: be in the government, how the lecture all of us

480
00:26:34,720 --> 00:26:37,119
Speaker 1: about Trump is horrible. And if you say, hold on

481
00:26:37,160 --> 00:26:38,840
Speaker 1: a second, this guy seems like he's in the early

482
00:26:38,920 --> 00:26:43,480
Speaker 1: stages of having one too many senior moments, we could

483
00:26:43,520 --> 00:26:46,080
Speaker 1: call it. Then then a lot of other people are

484
00:26:46,080 --> 00:26:48,560
Speaker 1: gonna the Democrats are gonna trun and say to us,

485
00:26:49,080 --> 00:26:52,399
Speaker 1: how dare you look at what you're saying? Do you

486
00:26:52,400 --> 00:26:55,000
Speaker 1: not respect our seniors? Said no, I just you know.

487
00:26:55,280 --> 00:26:57,520
Speaker 1: I mean, if it's amazing people will get up into

488
00:26:57,560 --> 00:27:01,080
Speaker 1: their nineties and have led these incredibly full and amazing lives,

489
00:27:01,600 --> 00:27:04,080
Speaker 1: that's great, and we should honor them and cherish them.

490
00:27:04,320 --> 00:27:06,800
Speaker 1: I don't think we should make somebody who's ninety five president,

491
00:27:06,880 --> 00:27:08,960
Speaker 1: for example, and I know Biden's not ninety five, but

492
00:27:08,960 --> 00:27:12,000
Speaker 1: he's gonna be basically eighty. I don't think we should

493
00:27:12,000 --> 00:27:14,879
Speaker 1: make somebody who's eighty the president. I even think Trump

494
00:27:15,000 --> 00:27:16,760
Speaker 1: is bored aline on the age thing, but he's just

495
00:27:17,400 --> 00:27:20,639
Speaker 1: he's some kind of I don't know. I mean, the

496
00:27:20,640 --> 00:27:24,800
Speaker 1: guy's got an inhuman level of energy and vitality and

497
00:27:25,840 --> 00:27:28,640
Speaker 1: health for someone his age. I've never I've never never

498
00:27:28,680 --> 00:27:31,680
Speaker 1: seen Trump once, you know, Okay, I know I feel

499
00:27:31,680 --> 00:27:33,159
Speaker 1: like it's too tire, he's out of it, or he

500
00:27:33,200 --> 00:27:36,040
Speaker 1: gets unbelievable. I mean I feel that way sometimes I'm

501
00:27:36,119 --> 00:27:41,840
Speaker 1: thirty Oh gosh, thirty eight almost forgot. But all right now,

502
00:27:41,880 --> 00:27:46,120
Speaker 1: the Pelosi politicization effect here and what we're all going

503
00:27:46,160 --> 00:27:52,240
Speaker 1: through as a result of this, my friends, The claims

504
00:27:52,280 --> 00:27:55,280
Speaker 1: the Democrats are making here, they're gonna run out pretty

505
00:27:55,280 --> 00:27:57,960
Speaker 1: soon of excuses that people can believe in good faith,

506
00:27:58,320 --> 00:28:00,960
Speaker 1: and it will just become clear that they want to

507
00:28:01,040 --> 00:28:03,240
Speaker 1: pile everything they can on the president, even though the

508
00:28:03,240 --> 00:28:06,600
Speaker 1: states are primarily going to be making these decisions. This

509
00:28:06,760 --> 00:28:09,400
Speaker 1: is where you're going to hear a lot about testing,

510
00:28:10,400 --> 00:28:12,600
Speaker 1: the lines about testing, you know, Nancy Pelosi at a

511
00:28:12,600 --> 00:28:17,159
Speaker 1: test test testing, You're gonna keep hearing people talk about this, well,

512
00:28:17,200 --> 00:28:20,280
Speaker 1: what's an acceptable level of testing? And understand this too,

513
00:28:20,359 --> 00:28:23,800
Speaker 1: that that whole system and this was coming from doctor Burkes,

514
00:28:23,800 --> 00:28:28,520
Speaker 1: who's a long time public health policy person whom I've

515
00:28:28,560 --> 00:28:30,080
Speaker 1: got to say, based in the briefings, I have more

516
00:28:30,119 --> 00:28:32,800
Speaker 1: confidence in her than I do in Fauci at this point.

517
00:28:33,440 --> 00:28:36,119
Speaker 1: But yeah, I'm sure they would say they agree on everything,

518
00:28:36,119 --> 00:28:37,840
Speaker 1: but she just seems a little bit more squared away,

519
00:28:37,840 --> 00:28:42,120
Speaker 1: they mean, than Faucci. Sometimes. She said that, look, we've

520
00:28:42,240 --> 00:28:45,240
Speaker 1: completely changed the Trump administration has completely changed the ability

521
00:28:45,280 --> 00:28:48,640
Speaker 1: to look for look for disease through the mechanisms in

522
00:28:48,680 --> 00:28:52,880
Speaker 1: the testing system that we have. And here's what she's

523
00:28:52,880 --> 00:28:57,800
Speaker 1: saying about that play fifteen. So first, I just want

524
00:28:57,800 --> 00:29:00,880
Speaker 1: to remind everyone that four weeks ago we were working

525
00:29:01,000 --> 00:29:03,960
Speaker 1: off of the pandemic platform that had been developed for

526
00:29:04,120 --> 00:29:07,920
Speaker 1: pandemic FLUS, and we realized, and the President realized, that

527
00:29:07,960 --> 00:29:10,720
Speaker 1: we had to change completely how we were doing testing.

528
00:29:10,760 --> 00:29:13,160
Speaker 1: And that's why we brought in the diagnostic companies that

529
00:29:13,280 --> 00:29:16,080
Speaker 1: really work on novel tests, and brought in the large

530
00:29:16,120 --> 00:29:18,080
Speaker 1: commercial labs. And I think you could see from the

531
00:29:18,160 --> 00:29:21,520
Speaker 1: diagrams yesterday that almost sixty percent of the test to

532
00:29:21,600 --> 00:29:24,040
Speaker 1: date have been done by these large commercial labs. But

533
00:29:24,080 --> 00:29:28,240
Speaker 1: we've also put out an additional seven platforms for additional

534
00:29:28,280 --> 00:29:31,480
Speaker 1: tests to make it possible for hospitals to tests and

535
00:29:31,560 --> 00:29:35,440
Speaker 1: clinics to test. So they've done a lot on this front,

536
00:29:36,680 --> 00:29:39,280
Speaker 1: and I understand that there's this focus now on we

537
00:29:39,400 --> 00:29:41,920
Speaker 1: can't really reopen until we have all the testing in place,

538
00:29:42,440 --> 00:29:44,200
Speaker 1: to which I just say, we're talking about we don't

539
00:29:44,240 --> 00:29:46,160
Speaker 1: know how far this has already spread, and we don't

540
00:29:46,200 --> 00:29:50,120
Speaker 1: know how really how long the incubation period is, especially

541
00:29:50,160 --> 00:29:53,320
Speaker 1: for people who are asymptomatic entirely. I'll get into the

542
00:29:53,320 --> 00:29:55,320
Speaker 1: purology test that I've already been done that show there

543
00:29:55,320 --> 00:29:57,520
Speaker 1: are a lot of people that have this disease or

544
00:29:57,600 --> 00:30:00,160
Speaker 1: have had this disease, have no idea, they feel fine.

545
00:30:00,880 --> 00:30:03,240
Speaker 1: I'm just gonna tell you right now, if you were

546
00:30:03,240 --> 00:30:04,640
Speaker 1: to ask me, if you were to say, Buck, do

547
00:30:04,720 --> 00:30:07,640
Speaker 1: you think you have antibodies to this? And I'm going

548
00:30:07,680 --> 00:30:09,760
Speaker 1: to get the test as soon as I can, do

549
00:30:09,800 --> 00:30:12,960
Speaker 1: you think you have antibodies to this? Would I would

550
00:30:13,000 --> 00:30:16,320
Speaker 1: bet money that I do at this point, given how

551
00:30:16,400 --> 00:30:19,400
Speaker 1: much time I've spent on the subway and been around

552
00:30:19,480 --> 00:30:21,400
Speaker 1: people and been in places where I know there have

553
00:30:21,520 --> 00:30:25,560
Speaker 1: been people who are one or two individuals removed from

554
00:30:25,600 --> 00:30:29,680
Speaker 1: my immediate vicinity who had COVID nineteen. So yes, I

555
00:30:29,720 --> 00:30:31,760
Speaker 1: think I probably Now I don't know. I'm just I'm

556
00:30:31,800 --> 00:30:34,560
Speaker 1: taking a guess here, but my gut tells me that

557
00:30:34,680 --> 00:30:36,880
Speaker 1: I think I've probably had this. We're being told that

558
00:30:36,960 --> 00:30:39,920
Speaker 1: testing is the key, but keep in mind they don't

559
00:30:40,200 --> 00:30:43,880
Speaker 1: testing to what degree the numbers. The details here matters,

560
00:30:43,920 --> 00:30:47,520
Speaker 1: and that's why you've got Governor Ralph. I'm not sure

561
00:30:47,560 --> 00:30:49,800
Speaker 1: if I was the one in the clan robe or

562
00:30:49,800 --> 00:30:55,040
Speaker 1: in the black face Northam. Remember Democrat, folks. His excuse

563
00:30:55,120 --> 00:30:56,240
Speaker 1: here is, I don't know if it was me in

564
00:30:56,280 --> 00:30:58,000
Speaker 1: the clan robe or me in the black face. But

565
00:30:58,320 --> 00:31:02,600
Speaker 1: you know, I get to still be governor of Virginia,

566
00:31:03,000 --> 00:31:07,560
Speaker 1: a state that certainly has a history that would you'd

567
00:31:07,640 --> 00:31:12,200
Speaker 1: understand there'd be a bit of elevated sensitivity about issues

568
00:31:12,240 --> 00:31:16,640
Speaker 1: of race. But if you're a Democrat, you get a pass.

569
00:31:16,880 --> 00:31:20,040
Speaker 1: Get a pass. He certainly got well. But here's what

570
00:31:20,040 --> 00:31:22,280
Speaker 1: he says about testing plate too. The President and Vice

571
00:31:22,320 --> 00:31:24,800
Speaker 1: President is saying over the past few days that the

572
00:31:24,920 --> 00:31:28,360
Speaker 1: US has enough testing capacity for states to begin opening

573
00:31:28,360 --> 00:31:30,600
Speaker 1: back up. If you feel you're ready to go into

574
00:31:30,920 --> 00:31:33,719
Speaker 1: Phase one. Is at the case in Virginia, do you

575
00:31:33,800 --> 00:31:37,280
Speaker 1: have enough tests to do the tests you need to do. Jack,

576
00:31:37,360 --> 00:31:40,680
Speaker 1: that's just delusional to be making statements like that. We

577
00:31:40,880 --> 00:31:45,160
Speaker 1: have been fighting every day for PPE and we've got

578
00:31:45,240 --> 00:31:48,960
Speaker 1: some supplies now coming in. We've been fighting for testing.

579
00:31:49,280 --> 00:31:52,840
Speaker 1: It's a it's not a straightforward test. We don't even

580
00:31:52,880 --> 00:31:55,520
Speaker 1: have enough swabs, believe it or not, and we're ramping

581
00:31:55,520 --> 00:31:58,200
Speaker 1: that up. But for the national level to say that

582
00:31:58,240 --> 00:32:01,680
Speaker 1: we have what we need and to have no guidance

583
00:32:01,920 --> 00:32:05,640
Speaker 1: to the state levels, it's just irresponsible because we're not

584
00:32:05,720 --> 00:32:09,200
Speaker 1: there yet. Now. This guy, you know, he is an MD,

585
00:32:09,400 --> 00:32:12,160
Speaker 1: which is also noteworthy, especially given what he says about

586
00:32:12,720 --> 00:32:14,840
Speaker 1: what happens to a baby that survives an abortion, which

587
00:32:14,840 --> 00:32:16,640
Speaker 1: we all heard him on radio, but we'll talk about

588
00:32:16,680 --> 00:32:20,960
Speaker 1: that some other time. There's no such thing as enough

589
00:32:20,960 --> 00:32:23,920
Speaker 1: testing for the Democrats, because this is going to be.

590
00:32:23,960 --> 00:32:26,240
Speaker 1: What they're claiming now is that it's impossible for states,

591
00:32:26,240 --> 00:32:28,800
Speaker 1: because a supply chain and other issues, to handle testing

592
00:32:28,800 --> 00:32:31,680
Speaker 1: on their own. So any shortfall in testing is the

593
00:32:31,720 --> 00:32:34,480
Speaker 1: federal government's fault, which means that it's Trump's fault, which

594
00:32:34,480 --> 00:32:37,240
Speaker 1: means that in any state that there's any continuation not

595
00:32:37,280 --> 00:32:39,760
Speaker 1: even have to be a spike, a continuation of COVID

596
00:32:39,840 --> 00:32:43,160
Speaker 1: nineteen infections and deaths. It's Trump's fault because of the

597
00:32:43,240 --> 00:32:45,640
Speaker 1: lack of testing that states couldn't handle, and they were

598
00:32:45,680 --> 00:32:49,440
Speaker 1: begging the federal government for it. That is the political attack.

599
00:32:49,480 --> 00:32:53,400
Speaker 1: That's what they're going to do, even though what's enough testing?

600
00:32:54,040 --> 00:32:59,320
Speaker 1: Nobody has the answer. You're in the freedom hunt. This

601
00:32:59,440 --> 00:33:06,280
Speaker 1: is the Sexton Show podcast right now. Donald Trump is

602
00:33:06,320 --> 00:33:09,320
Speaker 1: not doing anything to help my city back on its feet.

603
00:33:09,440 --> 00:33:11,200
Speaker 1: How am I going to pay for basic services? How

604
00:33:11,240 --> 00:33:13,440
Speaker 1: am I going to pay for first responders? How am

605
00:33:13,480 --> 00:33:16,400
Speaker 1: I going to have a restart of my economy if

606
00:33:16,440 --> 00:33:19,360
Speaker 1: my city's going broke? And I know it's happening all

607
00:33:19,360 --> 00:33:23,760
Speaker 1: over the country. You're hearing mayors Republican and Democrat, talked

608
00:33:23,760 --> 00:33:26,080
Speaker 1: to them saying, we're not going to be able to

609
00:33:26,160 --> 00:33:28,080
Speaker 1: make it if we don't get help from the federal

610
00:33:28,120 --> 00:33:31,840
Speaker 1: government because we've just seen a hit on our budgets,

611
00:33:31,840 --> 00:33:33,720
Speaker 1: a hit on our cities, a hit on our people

612
00:33:34,080 --> 00:33:39,040
Speaker 1: that was unestimable, and Donald Trump is silent. Wait a second,

613
00:33:39,120 --> 00:33:42,719
Speaker 1: you mean that last week it was governors and mayors

614
00:33:42,760 --> 00:33:45,800
Speaker 1: to some extent, But governors have all the power. Trump

615
00:33:45,800 --> 00:33:48,800
Speaker 1: has none of the power. Now it's oh my gosh,

616
00:33:48,800 --> 00:33:50,560
Speaker 1: we're all in a sinking ship. We need the federal

617
00:33:50,600 --> 00:33:53,320
Speaker 1: government to give us lots of money. Well, I've got

618
00:33:53,320 --> 00:33:55,560
Speaker 1: to say, you know, maybe it would be useful for

619
00:33:55,600 --> 00:33:58,600
Speaker 1: the states to actually have to live within their budgets

620
00:33:58,600 --> 00:34:00,560
Speaker 1: and live with the realities of what they decided to

621
00:34:00,560 --> 00:34:02,200
Speaker 1: do in different places. I'm not saying there shouldn't be

622
00:34:02,200 --> 00:34:03,880
Speaker 1: any rescue funds, there shouldn't be any help from the

623
00:34:03,880 --> 00:34:06,320
Speaker 1: federal government, but it is worth taking a step back

624
00:34:06,360 --> 00:34:10,000
Speaker 1: to say, well, why why wouldn't a state continue the

625
00:34:10,040 --> 00:34:13,360
Speaker 1: lockdown as long as possible, keeping them keep the lockdown

626
00:34:13,440 --> 00:34:15,840
Speaker 1: for ninety days, one hundred and twenty days the federal

627
00:34:15,880 --> 00:34:18,280
Speaker 1: and then just turn around into the federal government. You know, money, please,

628
00:34:18,520 --> 00:34:20,640
Speaker 1: we want money. We're gonna pay all the people. Well,

629
00:34:20,920 --> 00:34:22,879
Speaker 1: the problem this is, and we're gonna talk about the

630
00:34:22,920 --> 00:34:25,920
Speaker 1: paycheck Protection program, which so far, my friends, I know,

631
00:34:26,000 --> 00:34:28,040
Speaker 1: you know, look, I'm going to always tell you the truth.

632
00:34:28,280 --> 00:34:31,240
Speaker 1: I know the Trump administrations running the paycheck protection program

633
00:34:31,680 --> 00:34:34,320
Speaker 1: with Congress. Remember Congress appropriates the fund that Trump is

634
00:34:34,760 --> 00:34:37,239
Speaker 1: the Trump Administration's putting it out there. So far, it's

635
00:34:37,239 --> 00:34:40,279
Speaker 1: a massive it's a it's a massively insufficient it's not

636
00:34:40,320 --> 00:34:43,680
Speaker 1: a failure. It is a massively insufficient program, which is

637
00:34:43,680 --> 00:34:46,120
Speaker 1: clear because they need two hundred fifty billion more dollars

638
00:34:46,440 --> 00:34:49,520
Speaker 1: two hundred and fifty billion more. To Deblasio's point, you

639
00:34:49,520 --> 00:34:53,200
Speaker 1: know what states in localities one now a five hundred

640
00:34:53,560 --> 00:34:56,759
Speaker 1: billion dollar bailout fund. My friends, we are going to

641
00:34:56,800 --> 00:35:01,080
Speaker 1: spend six trillion, eight trillion who knows, to try to

642
00:35:01,080 --> 00:35:03,600
Speaker 1: get us out of this hole. We can't do this,

643
00:35:04,480 --> 00:35:07,960
Speaker 1: it doesn't work. We are putting. By doing this stuff,

644
00:35:08,160 --> 00:35:11,640
Speaker 1: you're pushing closer and closer to that cliff, at which

645
00:35:11,680 --> 00:35:16,480
Speaker 1: point there is a collapse of our financial system because

646
00:35:16,480 --> 00:35:20,160
Speaker 1: the debt that we've accrued is completely unsustainable and people panic.

647
00:35:20,320 --> 00:35:22,360
Speaker 1: So we have a virus panic that could be followed

648
00:35:22,360 --> 00:35:25,560
Speaker 1: by the financial panic unless we start getting a handle

649
00:35:25,560 --> 00:35:27,560
Speaker 1: and all this stuff, and we can't just have the

650
00:35:27,600 --> 00:35:31,440
Speaker 1: federal government writing endless checks for everything. Thanks for listening

651
00:35:31,440 --> 00:35:34,880
Speaker 1: to The Bus Sesson Show podcasts. Remember to subscribe on

652
00:35:34,920 --> 00:35:40,920
Speaker 1: Apple podcast, the iHeartRadio app, or wherever you get your podcasts. Well,

653
00:35:40,920 --> 00:35:43,160
Speaker 1: what it would do is something that we've been requesting

654
00:35:43,200 --> 00:35:46,160
Speaker 1: for the last two weeks, more funding for the small

655
00:35:46,160 --> 00:35:49,200
Speaker 1: business program. This business program has worked very well, more

656
00:35:49,239 --> 00:35:53,360
Speaker 1: than one point six million businesses requested the money to

657
00:35:53,520 --> 00:35:57,320
Speaker 1: pay their employees to pay their rent. Unfortunately, Nancy Pelosi

658
00:35:57,400 --> 00:36:00,200
Speaker 1: has held that up for the last two weeks. We

659
00:36:00,239 --> 00:36:02,279
Speaker 1: have watched and the one question I have watching her

660
00:36:02,280 --> 00:36:06,240
Speaker 1: on Sunday Show named me one productive thing speaker Pelosi

661
00:36:06,280 --> 00:36:09,920
Speaker 1: has accomplished in this pandemic. When President Trump in January

662
00:36:09,920 --> 00:36:13,600
Speaker 1: thirty first put in the band from China, February twenty fourth,

663
00:36:13,880 --> 00:36:16,640
Speaker 1: she asked people to gather together in San Francisco, she

664
00:36:16,719 --> 00:36:18,960
Speaker 1: actually fought the band. When we wanted to put the

665
00:36:19,040 --> 00:36:22,279
Speaker 1: Cares Act together, she came in held it up. Now

666
00:36:22,280 --> 00:36:25,200
Speaker 1: we had a small business program working, She's now held

667
00:36:25,239 --> 00:36:28,879
Speaker 1: up the money. There's seven hundred thousand small business applications

668
00:36:29,080 --> 00:36:31,799
Speaker 1: in right now trying to keep their doors open. Last

669
00:36:31,800 --> 00:36:35,399
Speaker 1: week we watch five million people new numbers for unemployment.

670
00:36:35,719 --> 00:36:38,440
Speaker 1: How many more millions of Pelosi's layoffs will we have

671
00:36:38,520 --> 00:36:42,080
Speaker 1: to endure before She'll put people before politics even at

672
00:36:42,080 --> 00:36:44,200
Speaker 1: this moment to get this agreement. We could have been

673
00:36:44,200 --> 00:36:47,959
Speaker 1: done yesterday, but the Democrats continue to hold up even

674
00:36:48,000 --> 00:36:51,799
Speaker 1: though we have agreed to all the numbers. Okay, let's

675
00:36:51,880 --> 00:36:54,840
Speaker 1: keep it real. Nancy Pelosi is a disaster. We know

676
00:36:54,960 --> 00:37:00,200
Speaker 1: that unethical, disgraceful, a liar, you know, just just your

677
00:37:00,239 --> 00:37:02,880
Speaker 1: adjective that it's all true. Nancy Pelosi is the worst.

678
00:37:02,920 --> 00:37:05,280
Speaker 1: She's the worst. I don't say that that every Democrat.

679
00:37:05,320 --> 00:37:07,840
Speaker 1: There's some Democrats that aren't the worst. Nancy Pelosi is

680
00:37:07,880 --> 00:37:12,280
Speaker 1: the worst, all right. Now, she has made this whole

681
00:37:12,320 --> 00:37:15,200
Speaker 1: process of getting money to people who remember, this is

682
00:37:15,239 --> 00:37:17,479
Speaker 1: not a free market thing. This is the government says

683
00:37:17,520 --> 00:37:19,719
Speaker 1: you are not allowed to work anymore. You are not

684
00:37:19,800 --> 00:37:23,160
Speaker 1: allowed to and we and the government then is stepping

685
00:37:23,200 --> 00:37:26,399
Speaker 1: in to say we will essentially float your money because

686
00:37:26,400 --> 00:37:29,160
Speaker 1: it's the money of we, the American people to you.

687
00:37:29,160 --> 00:37:30,920
Speaker 1: You know, this is like getting an advance from your

688
00:37:30,920 --> 00:37:33,480
Speaker 1: employer almost, right, Well, we'll put money in your hands

689
00:37:33,760 --> 00:37:36,479
Speaker 1: because we're the ones telling you can't work. Right, that's

690
00:37:36,520 --> 00:37:39,080
Speaker 1: on them. There are millions of people who would have

691
00:37:39,080 --> 00:37:41,879
Speaker 1: continued to do their jobs in states that have very

692
00:37:41,960 --> 00:37:46,000
Speaker 1: small COVID nineteen problems if it weren't for the lockdown order. Right,

693
00:37:46,080 --> 00:37:50,800
Speaker 1: so we've already established that Pelosi is a disaster. Pelosi

694
00:37:50,920 --> 00:37:53,520
Speaker 1: cannot be trusted on any of this, even when people

695
00:37:53,640 --> 00:37:58,000
Speaker 1: are really suffering enormously. You know, she's too busy talking

696
00:37:58,000 --> 00:37:59,960
Speaker 1: about you know, test t test take testing. This is

697
00:38:00,160 --> 00:38:02,879
Speaker 1: a big thing, play eleven. So we're way late on it,

698
00:38:02,960 --> 00:38:05,360
Speaker 1: and that is a failure. The president gets an f

699
00:38:05,800 --> 00:38:10,400
Speaker 1: a failure on the testing, but fauci, if it is

700
00:38:10,440 --> 00:38:13,319
Speaker 1: done profitly, it hasn't been And I think when they

701
00:38:13,440 --> 00:38:16,759
Speaker 1: puts it in if it's done, is an admission that

702
00:38:16,880 --> 00:38:20,080
Speaker 1: it hasn't been done. You know where the big failure

703
00:38:20,200 --> 00:38:24,759
Speaker 1: was in testing the CDC, That's where the failure was.

704
00:38:24,800 --> 00:38:27,880
Speaker 1: Initially they had a crap test that didn't work that

705
00:38:27,960 --> 00:38:31,000
Speaker 1: they sent out all over the place. That really hurt

706
00:38:31,040 --> 00:38:34,200
Speaker 1: getting you know, early information about how fast of our spreading.

707
00:38:34,200 --> 00:38:36,080
Speaker 1: But you know, Pelosi's going to blame the president. Of

708
00:38:36,160 --> 00:38:38,640
Speaker 1: course she does. She always does. That's that's really herr.

709
00:38:38,719 --> 00:38:42,719
Speaker 1: Her goals are just to undermine what is all that

710
00:38:42,880 --> 00:38:45,080
Speaker 1: is good and decent and worthwhile in the Republic at

711
00:38:45,120 --> 00:38:49,040
Speaker 1: every opportunity, and she excels at that. Oh she also

712
00:38:49,080 --> 00:38:55,000
Speaker 1: wants to tell you that she didn't give you bad advice,

713
00:38:55,080 --> 00:38:57,080
Speaker 1: you the American people bad advice by saying, yeah, if're

714
00:38:57,120 --> 00:38:59,279
Speaker 1: in the San Francisco area, make sure you go to

715
00:38:59,360 --> 00:39:03,160
Speaker 1: that Chinese These lunar new year's celebration. A great place

716
00:39:03,200 --> 00:39:07,320
Speaker 1: to hang out, right, and let's say early February, great stuff,

717
00:39:07,480 --> 00:39:10,560
Speaker 1: great place to be. Why did Pelosi do that? Play ten?

718
00:39:10,920 --> 00:39:14,440
Speaker 1: If the President underplayed the threat in the early days,

719
00:39:14,840 --> 00:39:18,399
Speaker 1: Speaker Pelosi, didn't you as well? Know what we're trying

720
00:39:18,400 --> 00:39:21,120
Speaker 1: to do is to end the discrimination, the stigma that

721
00:39:21,239 --> 00:39:26,000
Speaker 1: was going out against the Asian American community. And in fact,

722
00:39:26,040 --> 00:39:29,360
Speaker 1: if you will look the recordable show that our Chinatown

723
00:39:29,400 --> 00:39:34,600
Speaker 1: has been a model of containing and presenting the virus.

724
00:39:34,640 --> 00:39:37,279
Speaker 1: So I'm confidence in our folks there and thought it

725
00:39:37,320 --> 00:39:40,360
Speaker 1: was necessary to offset some of the things that the

726
00:39:40,400 --> 00:39:43,960
Speaker 1: President and others were saying about Asian Americans and making

727
00:39:44,000 --> 00:39:48,360
Speaker 1: them a target, a target of violence across the country.

728
00:39:48,360 --> 00:39:51,920
Speaker 1: And Seid, that's forgive me, don't you think. Don't you

729
00:39:52,040 --> 00:39:56,000
Speaker 1: think that when you're out walking without any mass I

730
00:39:56,120 --> 00:39:59,480
Speaker 1: understand this is February, not April when this happened, and

731
00:39:59,640 --> 00:40:03,080
Speaker 1: saying that there's no threat, it's perfectly safe there. Weren't

732
00:40:03,080 --> 00:40:06,560
Speaker 1: you also adding to this perception that there wasn't such

733
00:40:06,560 --> 00:40:10,320
Speaker 1: a threat generally, No, I was saying that you should

734
00:40:10,360 --> 00:40:14,920
Speaker 1: not discriminate against, discriminate against Chinese Americans, as some in

735
00:40:14,960 --> 00:40:18,400
Speaker 1: our administration. We're doing by the way they were labeling

736
00:40:18,440 --> 00:40:21,879
Speaker 1: the flu and that no. Indeed, and again I think

737
00:40:21,880 --> 00:40:25,960
Speaker 1: you if you check the record and as current, you

738
00:40:26,000 --> 00:40:29,879
Speaker 1: will see that Chinatown has been a model in all

739
00:40:29,920 --> 00:40:34,240
Speaker 1: of this. Huh interesting, isn't it? Nancy Pelos just blather?

740
00:40:36,800 --> 00:40:42,439
Speaker 1: But what he did pace you know it? Yeah? Look, Hey,

741
00:40:42,560 --> 00:40:45,160
Speaker 1: credit works due Chris Wallace asking asking a real question

742
00:40:45,200 --> 00:40:48,120
Speaker 1: and pushing on it. I know sometimes he annoys conservatives,

743
00:40:48,120 --> 00:40:51,719
Speaker 1: but he does ask real questions. And you know, Pelosi's

744
00:40:51,719 --> 00:40:55,400
Speaker 1: response here is just blather. It's because of the discrimination, okay,

745
00:40:55,440 --> 00:40:57,960
Speaker 1: because you were worrying about discrimination. You basically were the

746
00:40:58,000 --> 00:41:01,640
Speaker 1: mayor in Jaws ringing the dinner bell at the beach.

747
00:41:01,760 --> 00:41:04,280
Speaker 1: Remember that, you know, Oh we'll be open fourth of July.

748
00:41:05,040 --> 00:41:08,480
Speaker 1: That was Nancy Pelosi. Yeah, go to Chinatown. It's great.

749
00:41:08,800 --> 00:41:11,319
Speaker 1: Hang out there during lunar New Year's celebration. Don't worry

750
00:41:11,360 --> 00:41:13,080
Speaker 1: about all the people that have come in from Wuhan,

751
00:41:13,760 --> 00:41:18,799
Speaker 1: No concern there. Who Democrat leader third in line for

752
00:41:18,800 --> 00:41:22,839
Speaker 1: the presidency. Just remember that most powerful Democrat in our

753
00:41:22,960 --> 00:41:27,439
Speaker 1: elected system in the country right now, Nancy Pelosi. Oh,

754
00:41:27,480 --> 00:41:30,399
Speaker 1: but they do a better job running things, Okay, Now

755
00:41:30,440 --> 00:41:32,960
Speaker 1: that I've established that, Nancy Pelosi just still work. Clear,

756
00:41:33,040 --> 00:41:36,680
Speaker 1: Nancy Pelosi is making this worse for people. She is

757
00:41:36,800 --> 00:41:39,440
Speaker 1: hurting workers, she is hurting the people that need the

758
00:41:39,480 --> 00:41:43,200
Speaker 1: money the most. And that's beyond any doubt, any dispute.

759
00:41:43,200 --> 00:41:46,319
Speaker 1: Now that we've established that, we can also talk about

760
00:41:46,360 --> 00:41:53,160
Speaker 1: how this paycheck protection program not enough, not even close,

761
00:41:54,280 --> 00:41:58,000
Speaker 1: and it look I understand right another sensitivity. I don't

762
00:41:58,040 --> 00:41:59,960
Speaker 1: you know this. I'm a supporter of the administration. I'm

763
00:42:00,000 --> 00:42:01,400
Speaker 1: open about it. Isn't nice that I get to be

764
00:42:01,440 --> 00:42:04,680
Speaker 1: honest about this. I'm a supporter of President Trump and

765
00:42:04,800 --> 00:42:08,600
Speaker 1: his agenda, but I also have to be honest where

766
00:42:08,600 --> 00:42:11,480
Speaker 1: when there's criticism, that's necessary. And I know that we're

767
00:42:11,520 --> 00:42:14,920
Speaker 1: an extremist right now and things are tough. But the

768
00:42:14,960 --> 00:42:19,160
Speaker 1: program that they designed is being abused, it's being exploited,

769
00:42:19,800 --> 00:42:22,680
Speaker 1: and it's not enough money, not even close, and it's

770
00:42:22,719 --> 00:42:27,280
Speaker 1: not confidence inspiring. When by some estimates, I'm seeing five

771
00:42:27,400 --> 00:42:32,560
Speaker 1: percent of businesses got money, ninety five percent of those

772
00:42:32,560 --> 00:42:35,880
Speaker 1: that applied did not get money. How is it that

773
00:42:35,920 --> 00:42:39,120
Speaker 1: a program that's supposed to last ten weeks, within the

774
00:42:39,160 --> 00:42:44,360
Speaker 1: first two weeks has a two hundred and fifty billion

775
00:42:44,520 --> 00:42:49,160
Speaker 1: dollars shortfall. Do they have absolutely no My friends, look,

776
00:42:49,160 --> 00:42:51,920
Speaker 1: these are the numbers. This is reality. Did they have

777
00:42:52,000 --> 00:42:55,000
Speaker 1: no idea how many people were really going to be

778
00:42:55,120 --> 00:42:58,760
Speaker 1: unemployed and also how expensive that labor would be, because

779
00:42:58,800 --> 00:43:02,680
Speaker 1: this is all meant to keep people at their previous

780
00:43:02,800 --> 00:43:07,200
Speaker 1: level of pay by giving different You show your payroll,

781
00:43:07,600 --> 00:43:09,359
Speaker 1: and I spoke to a friend over the weekend who's

782
00:43:09,400 --> 00:43:12,000
Speaker 1: going through this exact process. You show your payroll the government.

783
00:43:12,080 --> 00:43:14,000
Speaker 1: The government says, here's a check for your payroll for

784
00:43:14,040 --> 00:43:19,560
Speaker 1: the next ten weeks. Company after company did not get

785
00:43:19,600 --> 00:43:22,719
Speaker 1: that money, and that's not something that you can just

786
00:43:22,800 --> 00:43:26,120
Speaker 1: keep delaying. They're going to let people go, and those

787
00:43:26,160 --> 00:43:29,799
Speaker 1: individuals then will be at they'll be off payroll. There

788
00:43:29,800 --> 00:43:32,759
Speaker 1: are investors, there are owners that could pull their money

789
00:43:32,840 --> 00:43:35,400
Speaker 1: from these ventures. You know, if you're trying to do

790
00:43:35,400 --> 00:43:37,680
Speaker 1: a startup, if you're trying to raise money, what happens

791
00:43:37,719 --> 00:43:40,080
Speaker 1: now you're missing payroll? Do you think investors are going

792
00:43:40,120 --> 00:43:42,040
Speaker 1: to say, yeah, we know times are tough, let's throw

793
00:43:42,120 --> 00:43:45,400
Speaker 1: more cash to you. While you're running running in the

794
00:43:45,400 --> 00:43:49,919
Speaker 1: red here can't buy product either. Businesses that don't don't

795
00:43:49,920 --> 00:43:52,680
Speaker 1: have money, they if they're giving the money to their payroll.

796
00:43:52,719 --> 00:43:55,240
Speaker 1: For example, they can't buy product even if they could

797
00:43:55,280 --> 00:43:57,279
Speaker 1: stay in business at some level. So what are you?

798
00:43:57,680 --> 00:44:00,520
Speaker 1: What are you left with here? How the government have

799
00:44:00,640 --> 00:44:04,600
Speaker 1: gotten this so wrong? I think we need to ask

800
00:44:04,640 --> 00:44:08,800
Speaker 1: the question. I think we need to understand. The numbers

801
00:44:08,880 --> 00:44:12,759
Speaker 1: on this are are not good. The way that this

802
00:44:12,800 --> 00:44:17,600
Speaker 1: has worked out so far is not confidence inspiring at all.

803
00:44:17,640 --> 00:44:21,160
Speaker 1: I mean, you know shake Shack, which does make a

804
00:44:21,160 --> 00:44:24,080
Speaker 1: great burger, but it's a big chain. Now they've got

805
00:44:24,160 --> 00:44:26,160
Speaker 1: him in Vegas and New York. I think they got

806
00:44:26,200 --> 00:44:28,160
Speaker 1: them all over the country. They got him in d C.

807
00:44:28,640 --> 00:44:31,640
Speaker 1: I think all over the place. Shake Shack got ten

808
00:44:31,680 --> 00:44:37,160
Speaker 1: million dollars from the coronavirus stimulus funding. This is supposed

809
00:44:37,160 --> 00:44:39,880
Speaker 1: to be for payroll, right, shake Shack got ten million dollars.

810
00:44:41,080 --> 00:44:45,319
Speaker 1: They had to return it. You know why because two

811
00:44:45,400 --> 00:44:48,480
Speaker 1: days two days after rather two days after they got

812
00:44:48,520 --> 00:44:49,920
Speaker 1: that money, they had to return it. Because they raised

813
00:44:49,920 --> 00:44:54,080
Speaker 1: one hundred and fifty million dollars in equity Harvard University.

814
00:44:54,239 --> 00:44:58,720
Speaker 1: This one's particularly well known right now, forty billion dollar endowment.

815
00:44:58,920 --> 00:45:01,799
Speaker 1: Harvard University got nine million dollars. And now people say buck,

816
00:45:01,800 --> 00:45:05,480
Speaker 1: they've employees too, Yeah, don't you think that they should

817
00:45:05,480 --> 00:45:08,080
Speaker 1: probably be able to weather the storm with their forty

818
00:45:08,320 --> 00:45:11,520
Speaker 1: billion with a b dollar endowmin they really need nine

819
00:45:11,560 --> 00:45:16,439
Speaker 1: million dollars in emergency cash funding. No, because the whole, look,

820
00:45:16,440 --> 00:45:21,120
Speaker 1: the whole higher education system has largely become these universities

821
00:45:21,560 --> 00:45:25,240
Speaker 1: are hedge funds and influenced peddling schemes where people also

822
00:45:25,320 --> 00:45:29,520
Speaker 1: take classes. It's really not about making people the leaders

823
00:45:29,560 --> 00:45:31,120
Speaker 1: of the future and educated them in the way that

824
00:45:31,400 --> 00:45:33,480
Speaker 1: you know, we'll make for a better society, that's all.

825
00:45:33,520 --> 00:45:37,600
Speaker 1: It's just all branding and money and access the elite

826
00:45:37,600 --> 00:45:42,279
Speaker 1: institutions in this country. Now, that's really the whole thing

827
00:45:42,320 --> 00:45:44,279
Speaker 1: is a house of cards. It's beginning to fall apart too.

828
00:45:44,840 --> 00:45:46,520
Speaker 1: You know how many dumbasses I know who went to

829
00:45:46,600 --> 00:45:49,680
Speaker 1: Harvard and Yale, More more than I could even say.

830
00:45:49,680 --> 00:45:51,560
Speaker 1: I could just start naming people, be like this guy

831
00:45:51,800 --> 00:45:54,960
Speaker 1: dumbass didn't do any of his life, This guy jerk

832
00:45:55,200 --> 00:45:57,880
Speaker 1: didn't do anything. Tons of them, Now, a lot of

833
00:45:57,880 --> 00:45:59,680
Speaker 1: them had, you know, Mommy and Daddy gave money or

834
00:45:59,719 --> 00:46:02,279
Speaker 1: went there. You know, legacy stuff is a big part

835
00:46:02,280 --> 00:46:05,120
Speaker 1: of all this. But this this notion that you know,

836
00:46:05,160 --> 00:46:06,920
Speaker 1: if you go to one of these schools, like Harvard

837
00:46:06,960 --> 00:46:09,400
Speaker 1: in particular, and somehow I know people say to be

838
00:46:09,400 --> 00:46:10,920
Speaker 1: oh bunk, you know, but you know this is this

839
00:46:11,000 --> 00:46:13,279
Speaker 1: is a sour grapes thing. I mean, I could have

840
00:46:13,280 --> 00:46:15,400
Speaker 1: gone an ivy League business school. I didn't go because

841
00:46:15,640 --> 00:46:18,919
Speaker 1: I didn't think it was worth it. So them's the facts.

842
00:46:18,920 --> 00:46:20,880
Speaker 1: Actually could have gone a couple of IV League business schools.

843
00:46:21,400 --> 00:46:25,040
Speaker 1: Humble bregg who cares doesn't mean anything. All in them

844
00:46:25,080 --> 00:46:26,640
Speaker 1: was I figured out how to play that system one

845
00:46:26,719 --> 00:46:28,560
Speaker 1: enough to be one of the people chosen to take

846
00:46:28,600 --> 00:46:32,560
Speaker 1: out a quarter of a million dollars in education loans

847
00:46:32,640 --> 00:46:35,760
Speaker 1: beyond college. Right, But Harvard's got a forty billion dollar

848
00:46:35,880 --> 00:46:40,160
Speaker 1: endowment and they want money. The small business, I mean,

849
00:46:40,160 --> 00:46:43,239
Speaker 1: the numbers on this are staggering. The Small Business Administration

850
00:46:43,640 --> 00:46:46,800
Speaker 1: gave one point six million dollar one point six million loans,

851
00:46:46,920 --> 00:46:49,880
Speaker 1: rather not dollars one point six million loans through the

852
00:46:49,880 --> 00:46:55,000
Speaker 1: paycheck Protection Program. There are thirty point seven million small

853
00:46:55,080 --> 00:46:59,160
Speaker 1: businesses in America, according to the Small Business Association, so

854
00:46:59,320 --> 00:47:02,839
Speaker 1: five point four percent received funds before the program ran

855
00:47:02,880 --> 00:47:06,279
Speaker 1: out of money last week, ninety five percent ninety four

856
00:47:06,320 --> 00:47:12,080
Speaker 1: point six percent received nothing. This is what a government

857
00:47:12,239 --> 00:47:17,239
Speaker 1: rescue looks like. The connected the big fish, they eat

858
00:47:17,280 --> 00:47:19,080
Speaker 1: all the fish food before it gets down to the

859
00:47:19,120 --> 00:47:21,040
Speaker 1: bottom of the tank. The little fish that you're trying

860
00:47:21,040 --> 00:47:25,120
Speaker 1: to help, No fish food for them. That's what's happened.

861
00:47:25,120 --> 00:47:28,160
Speaker 1: And Nancy Pelosi is saying, no more food for anybody

862
00:47:28,239 --> 00:47:30,400
Speaker 1: right now until I get what I want. That's what

863
00:47:30,520 --> 00:47:35,560
Speaker 1: she's doing. The numbers don't lie, my friends. Ruth's Chris

864
00:47:36,320 --> 00:47:39,600
Speaker 1: has eighty six million dollars. Now, look, their stakes are excellent.

865
00:47:39,680 --> 00:47:42,239
Speaker 1: And then I understand the employee people, but this is

866
00:47:42,280 --> 00:47:46,360
Speaker 1: emergency funding. Eighty six million dollars in the bank and

867
00:47:46,480 --> 00:47:51,200
Speaker 1: they receive twenty million dollars in the PPP fund intended

868
00:47:51,200 --> 00:47:54,560
Speaker 1: to help small businesses. It's a publicly traded company that

869
00:47:54,600 --> 00:47:56,759
Speaker 1: has almost one hundred million dollars in the bank and

870
00:47:56,800 --> 00:47:59,560
Speaker 1: they get twenty million dollars. I know people who have

871
00:48:00,680 --> 00:48:03,480
Speaker 1: zero in the bank, none, and they're businesses that are

872
00:48:03,520 --> 00:48:06,280
Speaker 1: making money, but they're they're turned off. All their businesses

873
00:48:06,280 --> 00:48:08,360
Speaker 1: have been crushed in the last two months. No money

874
00:48:08,360 --> 00:48:11,160
Speaker 1: in the bank for payroll. You know what happens to them. Sorry,

875
00:48:11,560 --> 00:48:14,319
Speaker 1: government doesn't have any checks for you, my friends. It's

876
00:48:14,320 --> 00:48:18,120
Speaker 1: not acceptable, it's not okay, and it's a reminder of

877
00:48:18,120 --> 00:48:19,759
Speaker 1: what I started out the show with, which is that

878
00:48:20,000 --> 00:48:22,320
Speaker 1: the government is not your friend. It's not going to

879
00:48:22,440 --> 00:48:24,120
Speaker 1: keep you safe and warm at night. That's what the

880
00:48:24,120 --> 00:48:29,239
Speaker 1: freedom hund is for. You're in the freedom hunt. This

881
00:48:29,320 --> 00:48:35,920
Speaker 1: is the Buck Sexton Show podcast. All right. To continue

882
00:48:35,920 --> 00:48:39,600
Speaker 1: our conversation about how small businesses are getting the short

883
00:48:39,760 --> 00:48:43,160
Speaker 1: end of the stick right now, we have Will Ricardella

884
00:48:43,280 --> 00:48:46,320
Speaker 1: with us right now. He is from the Washington Examiner,

885
00:48:46,320 --> 00:48:48,360
Speaker 1: where he's an editor. He's following this very closely, and

886
00:48:48,400 --> 00:48:49,960
Speaker 1: we're going back and forth all the time trying to

887
00:48:50,040 --> 00:48:51,560
Speaker 1: update each other. Will. Great to have you on the

888
00:48:51,560 --> 00:48:54,600
Speaker 1: show first time. Thanks for having me on book. All right, man,

889
00:48:54,600 --> 00:48:57,120
Speaker 1: So I was telling everybody that five percent of small

890
00:48:57,160 --> 00:49:00,120
Speaker 1: businesses so far i've gotten cash. What are you seeing

891
00:49:00,120 --> 00:49:01,680
Speaker 1: at the national level? And also then I want you

892
00:49:01,760 --> 00:49:04,080
Speaker 1: to tell us about businesses that you just know personally.

893
00:49:04,080 --> 00:49:06,480
Speaker 1: What are they dealing with right now? Well, at the

894
00:49:06,600 --> 00:49:09,720
Speaker 1: national level, people aren't getting the PPP, they're not getting

895
00:49:09,760 --> 00:49:12,960
Speaker 1: the stop gap. They ran out of money pretty quickly.

896
00:49:13,000 --> 00:49:16,480
Speaker 1: Most a lot of the money was deferred towards unemployment insurance.

897
00:49:16,560 --> 00:49:19,480
Speaker 1: People are guaranteed six hundred dollars a week. Employees who

898
00:49:19,480 --> 00:49:21,479
Speaker 1: are laid off, and it's the wealth creators who seem

899
00:49:21,520 --> 00:49:24,600
Speaker 1: to be getting the short end of this stick. I

900
00:49:24,680 --> 00:49:27,719
Speaker 1: know this. My family has businesses in New York, their restaurants.

901
00:49:28,600 --> 00:49:30,400
Speaker 1: My uncle was unable to get any of the funds

902
00:49:30,400 --> 00:49:32,640
Speaker 1: for the PPP. Most of his workers have left and

903
00:49:33,080 --> 00:49:35,920
Speaker 1: unemployment insurance because they get into extra six hundred dollars.

904
00:49:35,920 --> 00:49:38,560
Speaker 1: They don't even want to stay in the payroll anyway. Well,

905
00:49:38,560 --> 00:49:41,640
Speaker 1: that's remarkable. Explain that, like, why why would they rather?

906
00:49:41,920 --> 00:49:44,200
Speaker 1: How is the incentive structure set up so that they'd

907
00:49:44,280 --> 00:49:48,239
Speaker 1: rather not be on payroll? Because if you sign up

908
00:49:48,239 --> 00:49:50,560
Speaker 1: for unemployment insurance, not only do you get the unemployment

909
00:49:50,640 --> 00:49:53,279
Speaker 1: insurance that the state gives you from the federal bill,

910
00:49:53,360 --> 00:49:55,680
Speaker 1: you get an extra six hundred dollar bonus. This is

911
00:49:55,719 --> 00:49:58,640
Speaker 1: per week. So why would you stay on the payrolls?

912
00:49:58,640 --> 00:50:01,280
Speaker 1: It's now you know this is for a four month extension.

913
00:50:01,320 --> 00:50:02,960
Speaker 1: So let's say you know, you try to open up.

914
00:50:03,000 --> 00:50:04,960
Speaker 1: Now you're not going to get your workers back for

915
00:50:04,960 --> 00:50:07,239
Speaker 1: four months. How do you even open How do you

916
00:50:07,280 --> 00:50:09,920
Speaker 1: transition into a period where you can give people service.

917
00:50:10,160 --> 00:50:12,680
Speaker 1: That's not to mention that people are already terrified. They're

918
00:50:12,680 --> 00:50:14,400
Speaker 1: not going to go into a restaurant. What are we

919
00:50:14,560 --> 00:50:16,880
Speaker 1: to tell me this? What are you the family business here?

920
00:50:16,960 --> 00:50:19,360
Speaker 1: The restaurants you're talking about, Do they think they're going

921
00:50:19,440 --> 00:50:22,839
Speaker 1: to be able to reopen this year? Oh boy, I don't.

922
00:50:22,920 --> 00:50:25,120
Speaker 1: I mean, that's a discussion I don't think anybody wants

923
00:50:25,160 --> 00:50:28,200
Speaker 1: to have at this point. That's certainly in the back

924
00:50:28,200 --> 00:50:31,400
Speaker 1: of people's minds. It's terrifying. I mean, this is a business,

925
00:50:31,440 --> 00:50:34,719
Speaker 1: you know. Look, you can extrapolate this into millions Americans.

926
00:50:34,719 --> 00:50:37,320
Speaker 1: My family has been in business now for fifty six years.

927
00:50:37,680 --> 00:50:40,480
Speaker 1: They're worried about losing them. This is a This is

928
00:50:40,560 --> 00:50:43,359
Speaker 1: a biggest employer in the town and the area. It's

929
00:50:43,360 --> 00:50:46,279
Speaker 1: outside of New York City. It serves people who come

930
00:50:46,360 --> 00:50:49,239
Speaker 1: up from New York City or commute, you know, and

931
00:50:49,280 --> 00:50:51,360
Speaker 1: there's not a lot of other jobs in the area.

932
00:50:51,440 --> 00:50:53,640
Speaker 1: So this is shifting a lot of people from payrolls

933
00:50:53,640 --> 00:50:56,319
Speaker 1: onto government unemployment insurance. And when that runs out, what

934
00:50:56,320 --> 00:50:57,719
Speaker 1: are people going to do if a lot of these

935
00:50:57,800 --> 00:51:01,040
Speaker 1: vaut creators are closed, where do people work? They're gonna

936
00:51:01,080 --> 00:51:03,600
Speaker 1: have to stay on unemployment insurance? And what happens to

937
00:51:03,680 --> 00:51:06,839
Speaker 1: the other expenses that for example, the restaurants. I mean

938
00:51:06,840 --> 00:51:08,360
Speaker 1: to drill down to this for a second. What what

939
00:51:08,400 --> 00:51:11,520
Speaker 1: happens to the other expenses, rent, and so on and

940
00:51:11,560 --> 00:51:14,520
Speaker 1: so forth. Right, So if you have this, you know,

941
00:51:14,600 --> 00:51:16,680
Speaker 1: if you have the Cares Act and this PPP and

942
00:51:16,719 --> 00:51:18,960
Speaker 1: that helps business owners stop the gap. It may not

943
00:51:19,080 --> 00:51:21,799
Speaker 1: do it entirely. It's not going to do it long enough,

944
00:51:21,840 --> 00:51:23,759
Speaker 1: and you're not creating any wealth. The reason you have

945
00:51:23,840 --> 00:51:26,520
Speaker 1: this business is so you could pay yourself a salary too.

946
00:51:26,920 --> 00:51:28,960
Speaker 1: You know, if you're just making your utilities your rent,

947
00:51:29,000 --> 00:51:30,960
Speaker 1: what's the point of keeping it open if you have

948
00:51:30,960 --> 00:51:33,319
Speaker 1: to dip into your own savings? What investments can you

949
00:51:33,360 --> 00:51:36,120
Speaker 1: make in the future. So, look, this is killing businesses

950
00:51:36,200 --> 00:51:39,400
Speaker 1: in particular service industry. In a restaurant, who's gonna I

951
00:51:39,440 --> 00:51:40,960
Speaker 1: don't know. You know, you're in New York City. I'm

952
00:51:40,960 --> 00:51:43,960
Speaker 1: in Washington, d C. I'm watching people dive off sidewalks

953
00:51:43,960 --> 00:51:45,839
Speaker 1: when I walk past them. Do you think they're gonna

954
00:51:45,840 --> 00:51:47,279
Speaker 1: want to go sit at a counter at a bar?

955
00:51:47,520 --> 00:51:52,239
Speaker 1: I see people jogging on empty streets, jogging like going

956
00:51:52,280 --> 00:51:54,800
Speaker 1: pretty fast, you know, maybe like seven eight minute miles

957
00:51:55,320 --> 00:51:59,399
Speaker 1: with or eight minute miles with face masks on. Right,

958
00:51:59,440 --> 00:52:01,080
Speaker 1: I'm like, well, do you guys think it's gonna happen

959
00:52:01,120 --> 00:52:03,640
Speaker 1: here if everyone else is walking, you know, you're like,

960
00:52:03,960 --> 00:52:07,240
Speaker 1: you're like the speedboat. You can go around the cruise ships.

961
00:52:08,680 --> 00:52:11,800
Speaker 1: You're exactly right. So look, before they even had the

962
00:52:11,880 --> 00:52:15,359
Speaker 1: institute of government lockdowns, people were already moving away from

963
00:52:15,360 --> 00:52:18,200
Speaker 1: going to restaurants. We had a lot less reservations. There's

964
00:52:18,239 --> 00:52:20,400
Speaker 1: a lot less people coming in. It's going to be

965
00:52:20,440 --> 00:52:22,680
Speaker 1: a huge transition to get this to happen again. You're

966
00:52:22,680 --> 00:52:25,640
Speaker 1: gonna have to open up in phases or all at

967
00:52:25,680 --> 00:52:28,080
Speaker 1: once now in order for people in order for this

968
00:52:28,160 --> 00:52:30,920
Speaker 1: to be over, perhaps by fall or winter. You'll have

969
00:52:30,960 --> 00:52:33,399
Speaker 1: to open now before people feel confident to go out again.

970
00:52:33,440 --> 00:52:36,799
Speaker 1: There's been so much misinformation spread about this, and the

971
00:52:36,880 --> 00:52:39,360
Speaker 1: government's kind of one size fits all approach helps the

972
00:52:39,440 --> 00:52:42,120
Speaker 1: rich people, the people who have money who work from home,

973
00:52:42,120 --> 00:52:45,120
Speaker 1: work remotely, but it doesn't help working class Americans who

974
00:52:45,120 --> 00:52:48,160
Speaker 1: can't afford to socially distance for two years, who can't

975
00:52:48,160 --> 00:52:50,719
Speaker 1: afford to wear masks and stay away from everybody for

976
00:52:50,760 --> 00:52:53,560
Speaker 1: a year. It just doesn't work for them. So that's

977
00:52:53,560 --> 00:52:56,360
Speaker 1: why you have people protesting. They can't accept those costs.

978
00:52:56,600 --> 00:52:59,600
Speaker 1: Where you have the hoyty toyty folks in Manhattan and Washington, DC.

979
00:52:59,760 --> 00:53:01,759
Speaker 1: They can where a mask and run off the sidewalk

980
00:53:01,760 --> 00:53:04,239
Speaker 1: all day. But a majority of Americans can't do that.

981
00:53:04,280 --> 00:53:06,799
Speaker 1: They can't afford to. And how worried are you? Just

982
00:53:06,840 --> 00:53:08,919
Speaker 1: at that the macro level, we got about thirty forty

983
00:53:08,920 --> 00:53:11,920
Speaker 1: seconds left, but they're talking about now a five hundred

984
00:53:12,239 --> 00:53:15,200
Speaker 1: I think it's five hundred billion dollars bailout fund for

985
00:53:15,239 --> 00:53:18,160
Speaker 1: states and cities. I'm getting the sense that people really

986
00:53:18,160 --> 00:53:20,960
Speaker 1: believe that the government can just write blank checks for everything.

987
00:53:20,960 --> 00:53:24,839
Speaker 1: And it's fine. Well, yeah, so I have an economics background, right,

988
00:53:25,080 --> 00:53:27,720
Speaker 1: you're writing out all this money, you're giving unemployment insurance

989
00:53:27,719 --> 00:53:29,600
Speaker 1: to people that aren't working, and you don't have wealth

990
00:53:29,600 --> 00:53:32,600
Speaker 1: creators creating wealth. I mean, so what happens. You'll have

991
00:53:32,680 --> 00:53:35,640
Speaker 1: massive inflation. People are spending money, it's not backed up

992
00:53:35,640 --> 00:53:38,800
Speaker 1: by any discernible production, and you'll get somewhat of inflation

993
00:53:38,840 --> 00:53:41,120
Speaker 1: even on consumption spending. And look, you have some people

994
00:53:41,120 --> 00:53:43,239
Speaker 1: who are laid off or cutting into their savings. You're

995
00:53:43,280 --> 00:53:45,520
Speaker 1: gonna will well, hold on, I want to actually let's

996
00:53:45,520 --> 00:53:46,960
Speaker 1: continue as the other side of the break for a minute.

997
00:53:47,000 --> 00:53:48,640
Speaker 1: Stay with me. We'll come back and get back into this.

998
00:53:49,480 --> 00:53:52,920
Speaker 1: Thanks for listening to The Bus Sesson Show podcasts. Remember

999
00:53:53,000 --> 00:53:58,759
Speaker 1: to subscribe on Apple Podcasts. The iHeart range your past Ricardella,

1000
00:53:58,840 --> 00:54:01,239
Speaker 1: who is at the Washington Examiner. He's an editor there.

1001
00:54:01,280 --> 00:54:03,640
Speaker 1: He's also a buddy of mine, and his family owns

1002
00:54:03,680 --> 00:54:06,520
Speaker 1: businesses here in the New York area, and they're in

1003
00:54:06,640 --> 00:54:10,160
Speaker 1: really tough shape right now, as any restaurant business would be,

1004
00:54:10,200 --> 00:54:13,600
Speaker 1: given that they're shut down because of government mandates. So well,

1005
00:54:13,600 --> 00:54:15,520
Speaker 1: you're talking about the inflationary pressure. I mean, I just

1006
00:54:15,560 --> 00:54:20,000
Speaker 1: feel like, you know, we undershot with PPP, undershot within

1007
00:54:20,040 --> 00:54:22,520
Speaker 1: the first couple of weeks by at least two hundred

1008
00:54:22,560 --> 00:54:24,600
Speaker 1: and fifty billion, and I think they're just asking for

1009
00:54:24,640 --> 00:54:26,680
Speaker 1: that with the idea that in another three or four

1010
00:54:26,719 --> 00:54:28,279
Speaker 1: weeks they're gonna say we in another two hundred and

1011
00:54:28,280 --> 00:54:31,879
Speaker 1: fifty billion. We're on track here to spend at least

1012
00:54:32,040 --> 00:54:34,760
Speaker 1: four feels like it's going to be six, maybe seven

1013
00:54:34,840 --> 00:54:37,279
Speaker 1: or eight trillion dollars really quickly, right, I mean in

1014
00:54:37,320 --> 00:54:38,920
Speaker 1: a matter of a few months. Yeah, I think I

1015
00:54:38,960 --> 00:54:42,120
Speaker 1: think that's optimistic. I think it's more like ten trillion. Look,

1016
00:54:42,680 --> 00:54:45,759
Speaker 1: how you look, the government shut down these businesses, so

1017
00:54:45,800 --> 00:54:48,920
Speaker 1: therefore they owe them some responsibility to stop the gap.

1018
00:54:48,960 --> 00:54:51,080
Speaker 1: And you know a lot of these businesses are going

1019
00:54:51,160 --> 00:54:52,839
Speaker 1: to take it pay off their bills, but it doesn't

1020
00:54:52,920 --> 00:54:55,080
Speaker 1: leave much for them. A lot of their employees are

1021
00:54:55,120 --> 00:54:58,759
Speaker 1: going on to unemployment insurance because it's more money they're

1022
00:54:59,120 --> 00:55:01,439
Speaker 1: these people are dipping into their savings as well. They're

1023
00:55:01,440 --> 00:55:03,799
Speaker 1: not gonna have any money to invest when things open up.

1024
00:55:03,800 --> 00:55:06,040
Speaker 1: They're not gonna my families outside of New York City.

1025
00:55:06,080 --> 00:55:08,520
Speaker 1: They depend on people who come up from New York City.

1026
00:55:08,800 --> 00:55:11,000
Speaker 1: That's not going to happen for a long time. So

1027
00:55:11,040 --> 00:55:13,480
Speaker 1: there's going to be less savings, less investment. We're not

1028
00:55:13,520 --> 00:55:16,440
Speaker 1: going to hire everybody back. You can't raise your prices

1029
00:55:16,480 --> 00:55:19,080
Speaker 1: because there's not as much money out there. And let's

1030
00:55:19,080 --> 00:55:22,520
Speaker 1: hope that inflations stays low, that you know, you don't

1031
00:55:22,520 --> 00:55:24,400
Speaker 1: have these menu costs and so on where they have

1032
00:55:24,440 --> 00:55:27,360
Speaker 1: to change their prices constantly. I don't look, there's so

1033
00:55:27,400 --> 00:55:29,600
Speaker 1: much uncertainty that businesses aren't going to invest like they

1034
00:55:29,680 --> 00:55:32,560
Speaker 1: used to. I don't see the economy coming back for

1035
00:55:32,880 --> 00:55:35,840
Speaker 1: a very long time. Twenty twenty one is optimistic. What

1036
00:55:35,880 --> 00:55:38,279
Speaker 1: do you think should be done here? I mean the administration,

1037
00:55:38,360 --> 00:55:40,720
Speaker 1: I was telling everybody, Look, Pelosi is just a she's

1038
00:55:40,760 --> 00:55:43,480
Speaker 1: just what she's doing is monstrous here by by stopping

1039
00:55:43,480 --> 00:55:45,319
Speaker 1: people from getting money that they need right now. And

1040
00:55:45,320 --> 00:55:48,280
Speaker 1: it's all politics with her, and she's she's a disgusting

1041
00:55:48,320 --> 00:55:52,440
Speaker 1: plutocrat and people should know that. But the administration, you know,

1042
00:55:52,800 --> 00:55:55,080
Speaker 1: they're they're not really able to do what they've said

1043
00:55:55,120 --> 00:55:57,399
Speaker 1: they're able to do, which is a key people more

1044
00:55:57,440 --> 00:55:59,520
Speaker 1: or less with money in their pockets who were employed

1045
00:55:59,560 --> 00:56:02,200
Speaker 1: going for word, even though they've opened the money gun

1046
00:56:02,320 --> 00:56:04,080
Speaker 1: in a way like we've never seen it before. So

1047
00:56:04,120 --> 00:56:05,840
Speaker 1: what do you think they should be doing? Well? I

1048
00:56:05,880 --> 00:56:08,520
Speaker 1: think what happened first the problem was uncertainty. Right in

1049
00:56:08,520 --> 00:56:10,719
Speaker 1: New York. It was you know, we're going to stem

1050
00:56:10,760 --> 00:56:12,800
Speaker 1: the tide for thirty days. We'll open back up in

1051
00:56:12,840 --> 00:56:16,239
Speaker 1: April fifteenth. Uncertainty hurt business. Now I think it's the certainty.

1052
00:56:16,600 --> 00:56:19,239
Speaker 1: At first you had a government saying, oh, we're gonna

1053
00:56:19,239 --> 00:56:21,600
Speaker 1: flatten the curve, and then once that's over, you know

1054
00:56:21,640 --> 00:56:23,600
Speaker 1: what I mean, we can reopen businesses. Now it's we're

1055
00:56:23,600 --> 00:56:25,799
Speaker 1: gonna flatten the curve. The curve is flattened. Now we're

1056
00:56:25,800 --> 00:56:28,600
Speaker 1: gonna have to do this until there's a vaccine or indefinitely,

1057
00:56:28,760 --> 00:56:30,920
Speaker 1: or you're gonna have to wear a mask for two years,

1058
00:56:31,040 --> 00:56:33,440
Speaker 1: or they're not giving any option for people that're like,

1059
00:56:33,480 --> 00:56:36,040
Speaker 1: you know, there's a lot of epidemiologists saying, look, they're

1060
00:56:36,080 --> 00:56:38,319
Speaker 1: only options hurt immunity. They're not saying, hey, let's let

1061
00:56:38,440 --> 00:56:40,520
Speaker 1: kids who have zero risk of this disease go back

1062
00:56:40,560 --> 00:56:42,799
Speaker 1: to school. Let's try, you know, let's try to go

1063
00:56:42,880 --> 00:56:46,120
Speaker 1: back to regular life. Here, they're saying to businesses in general,

1064
00:56:46,440 --> 00:56:49,000
Speaker 1: especially service industry, you can't have more than ten people

1065
00:56:49,040 --> 00:56:51,560
Speaker 1: in your business, and you know you're gonna have to

1066
00:56:51,600 --> 00:56:53,680
Speaker 1: stay six feet apart, and you're gonna have to wear

1067
00:56:53,760 --> 00:56:55,920
Speaker 1: masks and so on. There's no way. Restaurants, well, I

1068
00:56:55,960 --> 00:56:57,279
Speaker 1: was about to say, I mean, when people say this,

1069
00:56:57,280 --> 00:56:59,360
Speaker 1: they obviously don't know any but the restaurant business, because

1070
00:56:59,360 --> 00:57:02,920
Speaker 1: it's all it's all about turning tables relatively quickly, right,

1071
00:57:02,960 --> 00:57:05,680
Speaker 1: and the more tables the better. How many people you

1072
00:57:05,680 --> 00:57:08,759
Speaker 1: can fit in your restaurant is paramount. For restaurants. Every

1073
00:57:08,800 --> 00:57:10,919
Speaker 1: time you put somebody, every you put a button a seat,

1074
00:57:10,960 --> 00:57:13,520
Speaker 1: that's money. If you're taking butts out of seats, you're

1075
00:57:13,560 --> 00:57:16,280
Speaker 1: taking money away from restaurants. They just can't stay open.

1076
00:57:16,280 --> 00:57:18,160
Speaker 1: The bigger the restaurant, the less chance they have of

1077
00:57:18,240 --> 00:57:21,000
Speaker 1: staying open. So you know, these are things I don't

1078
00:57:21,040 --> 00:57:22,960
Speaker 1: think people thought about it at first. It's much easier

1079
00:57:23,000 --> 00:57:24,640
Speaker 1: to flip the switch off than it is to turn

1080
00:57:24,680 --> 00:57:26,280
Speaker 1: it back on. And I don't think any of that

1081
00:57:26,440 --> 00:57:28,600
Speaker 1: what was given. I don't think they had any appropriate

1082
00:57:28,680 --> 00:57:31,280
Speaker 1: data to begin with to justify this. And I think

1083
00:57:31,320 --> 00:57:34,200
Speaker 1: you're gonna see it's gonna be I hope I'm wrong, Buck,

1084
00:57:34,240 --> 00:57:35,800
Speaker 1: I really do, but I don't think it's going to

1085
00:57:35,880 --> 00:57:38,680
Speaker 1: be very good moving forward here the next six months

1086
00:57:38,680 --> 00:57:41,120
Speaker 1: to a year at least at least, Yeah, it just

1087
00:57:41,160 --> 00:57:45,720
Speaker 1: feels like the spending it either has negative ramifications for

1088
00:57:45,760 --> 00:57:47,560
Speaker 1: the government to go deeper in debt than it has

1089
00:57:47,560 --> 00:57:49,840
Speaker 1: ever been in a way that no one could have

1090
00:57:49,920 --> 00:57:52,479
Speaker 1: ever even anticipated. Right, this is not even with a war.

1091
00:57:52,640 --> 00:57:55,160
Speaker 1: You figure, well, at some point this thing will end,

1092
00:57:55,200 --> 00:57:56,560
Speaker 1: and you know, there's a little bit of it. And

1093
00:57:56,600 --> 00:57:58,560
Speaker 1: also there's a lot of production that goes into a war,

1094
00:57:58,640 --> 00:58:00,480
Speaker 1: so you may go into depth. There's all so tremendous

1095
00:58:00,480 --> 00:58:02,680
Speaker 1: amount of production and that's going on, and within your society,

1096
00:58:03,040 --> 00:58:07,200
Speaker 1: we're going into debt with shutdown production, right, and but

1097
00:58:07,280 --> 00:58:10,000
Speaker 1: people don't understand from an economic standpoint, as we have

1098
00:58:10,000 --> 00:58:13,480
Speaker 1: a four trillion dollar budget deficit this year, that's taxes.

1099
00:58:13,960 --> 00:58:16,760
Speaker 1: People understand, you know. I think I've saw Alexandria custumer

1100
00:58:16,800 --> 00:58:19,080
Speaker 1: tests say, oh, the money you get from the PPP

1101
00:58:19,280 --> 00:58:22,040
Speaker 1: and the and you know, the stimulus checks, the twelve

1102
00:58:22,120 --> 00:58:24,200
Speaker 1: hundred dollars, you don't have to pay back. Well, that's

1103
00:58:24,240 --> 00:58:26,840
Speaker 1: not true. It's debt. You have to pay that back

1104
00:58:26,840 --> 00:58:29,240
Speaker 1: in taxes. And that's how businesses and people see it.

1105
00:58:29,240 --> 00:58:31,160
Speaker 1: Our taxes are going to have to go up, right,

1106
00:58:31,720 --> 00:58:33,760
Speaker 1: you know, So that is money that has to be

1107
00:58:33,800 --> 00:58:36,000
Speaker 1: paid back. I think people understand that, and that's going

1108
00:58:36,080 --> 00:58:38,600
Speaker 1: to hurt long term investing. People aren't going to want

1109
00:58:38,600 --> 00:58:41,160
Speaker 1: to invest when they're unsure about how high tax rates

1110
00:58:41,160 --> 00:58:44,080
Speaker 1: will go. Government spending is with astronomical before any of

1111
00:58:44,120 --> 00:58:46,480
Speaker 1: this happened, and it leaves a lot of uncertainty in

1112
00:58:46,520 --> 00:58:48,440
Speaker 1: the economy and it's going to be very hard to

1113
00:58:48,480 --> 00:58:51,160
Speaker 1: come back. And I don't think anybody's talking about it.

1114
00:58:51,400 --> 00:58:53,560
Speaker 1: I don't think politicians want to talk about it because

1115
00:58:53,600 --> 00:58:56,920
Speaker 1: they want to justify the severe draconian lockdowns that they instituted,

1116
00:58:57,080 --> 00:59:00,520
Speaker 1: and they don't want any blowback for it. I agree Rocardell.

1117
00:59:00,600 --> 00:59:03,400
Speaker 1: Everybody follow him on Twitter. His last name is very

1118
00:59:03,400 --> 00:59:05,400
Speaker 1: hard to spell, so I will say it's not an

1119
00:59:05,400 --> 00:59:08,040
Speaker 1: easy thing. But if you kind of think about it

1120
00:59:08,400 --> 00:59:11,880
Speaker 1: and you do it phonetically and then you think like Italian,

1121
00:59:12,120 --> 00:59:15,040
Speaker 1: you'll figure it out, right. Yeah, And you know, just

1122
00:59:15,120 --> 00:59:17,760
Speaker 1: google that you can find the restaurants. Google Rocodella, You'll

1123
00:59:17,800 --> 00:59:20,120
Speaker 1: find them easily. There we go, will Thanks so much

1124
00:59:20,160 --> 00:59:21,880
Speaker 1: for your insights, my friend. We'll have you back soon

1125
00:59:21,920 --> 00:59:27,200
Speaker 1: and you take care. Thank you, Buck, But you're in

1126
00:59:27,280 --> 00:59:34,800
Speaker 1: the freedom. This is the Buck Sexton Show podcast. These

1127
00:59:34,800 --> 00:59:37,000
Speaker 1: folks are, Let's be honest about what they are. They

1128
00:59:37,040 --> 00:59:40,680
Speaker 1: are the Fox News Nazi Confederate death cult rump of

1129
00:59:40,720 --> 00:59:43,840
Speaker 1: the Republican Party, and their very existence is a slap

1130
00:59:43,880 --> 00:59:46,000
Speaker 1: in the face not only to the healthcare workers on

1131
00:59:46,000 --> 00:59:49,640
Speaker 1: the front lines risking their lives every single day, but

1132
00:59:49,680 --> 00:59:51,320
Speaker 1: it's also a slap into the face of the people

1133
00:59:51,320 --> 00:59:55,080
Speaker 1: who are actually dying from this virus and disproportionate numbers

1134
00:59:55,120 --> 00:59:59,320
Speaker 1: black and brown people. These aren't economically disenfranchised folks. These

1135
00:59:59,320 --> 01:00:02,840
Speaker 1: are small disowners. These are retirees. These are people who

1136
01:00:02,880 --> 01:00:06,600
Speaker 1: want their workers to be sent back to work, not themselves.

1137
01:00:06,960 --> 01:00:10,480
Speaker 1: It's a complete nutter farce. It's an astroidturf farce. And also,

1138
01:00:10,560 --> 01:00:12,880
Speaker 1: I think it needs to be said, it's also unrepresentative

1139
01:00:12,880 --> 01:00:14,840
Speaker 1: of the Republican Party as a whole. I just saw

1140
01:00:14,880 --> 01:00:17,800
Speaker 1: a poll that said seventy percent of Republicans want a

1141
01:00:17,960 --> 01:00:23,200
Speaker 1: national stay at home order. This person's appalling, utterly appalling.

1142
01:00:23,520 --> 01:00:27,520
Speaker 1: But is he writes for The Nation, which is perhaps

1143
01:00:27,600 --> 01:00:31,200
Speaker 1: the most disgusting comy rag in any circulation in the

1144
01:00:31,280 --> 01:00:34,680
Speaker 1: United United States. So he's a sports writer for it.

1145
01:00:35,400 --> 01:00:38,120
Speaker 1: But so he's a sports writer for a commie paper.

1146
01:00:38,520 --> 01:00:43,200
Speaker 1: Good job. Everything that he says there is a is

1147
01:00:43,240 --> 01:00:47,200
Speaker 1: a vicious and stupid slander. And remember he's talking about

1148
01:00:47,240 --> 01:00:50,400
Speaker 1: people who are trying to have their voices raised peacefully

1149
01:00:50,880 --> 01:00:54,480
Speaker 1: about government policies that increasingly the data does not support

1150
01:00:55,560 --> 01:00:59,040
Speaker 1: the lockdown order. If you really look what's going on

1151
01:00:59,080 --> 01:01:01,760
Speaker 1: in Germany, if you really look what has happened Sweden,

1152
01:01:01,840 --> 01:01:04,000
Speaker 1: for example, is saying that the model that they've done,

1153
01:01:04,160 --> 01:01:07,520
Speaker 1: that they were all we were told Sweden's heading for catastrophe. False.

1154
01:01:08,240 --> 01:01:11,360
Speaker 1: Sweden is not in a catastrophe. It's doing better than

1155
01:01:11,400 --> 01:01:14,280
Speaker 1: most of the other major European countries. That have been

1156
01:01:14,360 --> 01:01:17,440
Speaker 1: hit hard by COVID nineteen not doing as well as Finland.

1157
01:01:17,480 --> 01:01:20,120
Speaker 1: But Finland is like Lichtenstein, It's barely a country. It's

1158
01:01:20,120 --> 01:01:23,520
Speaker 1: got like two million people that live there. If that okay, fine,

1159
01:01:23,520 --> 01:01:25,000
Speaker 1: I gotta find out. It's just saying, because I know

1160
01:01:25,040 --> 01:01:27,680
Speaker 1: someone's gonna yell at me, what's the population of Finland?

1161
01:01:28,680 --> 01:01:33,240
Speaker 1: Five million? Sorry, okay, it's got five million people. But

1162
01:01:33,920 --> 01:01:35,720
Speaker 1: the truth is that Sweden, we were told was going

1163
01:01:35,760 --> 01:01:37,560
Speaker 1: to run for it was going to have disaster because

1164
01:01:37,560 --> 01:01:40,600
Speaker 1: they were just doing more common sense, be careful, no

1165
01:01:40,760 --> 01:01:44,080
Speaker 1: huge gatherings. But businesses can still operate washer hints the

1166
01:01:44,160 --> 01:01:47,280
Speaker 1: things that I've wanted us to do all along. Act

1167
01:01:47,360 --> 01:01:49,840
Speaker 1: like we're in a really really bad flu season, take

1168
01:01:49,880 --> 01:01:53,360
Speaker 1: those kinds of precautions, and not act like everybody's about

1169
01:01:53,360 --> 01:01:55,439
Speaker 1: to die from bubonic plague. If they leave their house,

1170
01:01:55,560 --> 01:01:58,800
Speaker 1: everyone has to be on lockdown. So the people that

1171
01:01:58,840 --> 01:02:01,320
Speaker 1: are upset about this, I mean he's now slandering them,

1172
01:02:01,360 --> 01:02:04,000
Speaker 1: saying that they want their workers to go. No. I

1173
01:02:04,480 --> 01:02:06,760
Speaker 1: know people who are small business owners here in New

1174
01:02:06,800 --> 01:02:10,160
Speaker 1: York and employees who want to go back to their jobs,

1175
01:02:10,920 --> 01:02:13,720
Speaker 1: who want to be able to function again, and earn

1176
01:02:13,760 --> 01:02:17,400
Speaker 1: a living again, and for the attitude from these some

1177
01:02:17,440 --> 01:02:20,120
Speaker 1: of these media elites to be and they're not elite

1178
01:02:20,120 --> 01:02:21,480
Speaker 1: as and they're good, but you know they think of

1179
01:02:21,520 --> 01:02:24,160
Speaker 1: themselves as better than other people. I just want to

1180
01:02:24,160 --> 01:02:26,840
Speaker 1: know what Dave's zeron would say to the four thousand

1181
01:02:26,880 --> 01:02:30,600
Speaker 1: cars that showed up and waited in line four hours

1182
01:02:30,640 --> 01:02:35,000
Speaker 1: in Houston, Texas over the weekend for food bank assistance

1183
01:02:35,000 --> 01:02:36,920
Speaker 1: because they don't have any food and don't have any money.

1184
01:02:37,640 --> 01:02:39,919
Speaker 1: Four thousand cars, probably some of them have at least

1185
01:02:39,920 --> 01:02:43,400
Speaker 1: a few people in them, right, Probably folks might have

1186
01:02:43,400 --> 01:02:45,320
Speaker 1: shown up with their family members. What are those or

1187
01:02:45,360 --> 01:02:47,920
Speaker 1: even if they're the families at home, how many individuals

1188
01:02:48,000 --> 01:02:52,280
Speaker 1: you think those four thousand cars are representing? And that's

1189
01:02:52,320 --> 01:02:57,640
Speaker 1: just one day in Houston, Texas? Right, You've got at

1190
01:02:57,680 --> 01:03:01,640
Speaker 1: least an average, let's say, three or four people that

1191
01:03:02,160 --> 01:03:05,560
Speaker 1: need food. What are we to make of all of this?

1192
01:03:05,760 --> 01:03:07,240
Speaker 1: I mean, when you're telling people that they have to

1193
01:03:07,280 --> 01:03:09,600
Speaker 1: wait in line for food because their business has been

1194
01:03:09,600 --> 01:03:11,720
Speaker 1: shut down by order the state, and then you have

1195
01:03:11,880 --> 01:03:15,560
Speaker 1: smug libs telling them shut up, peasant, go home, watch Netflix.

1196
01:03:15,680 --> 01:03:19,280
Speaker 1: Accept it. You can't risk other people by having any

1197
01:03:19,280 --> 01:03:21,760
Speaker 1: individual freedom you're not allowed to leave your home and

1198
01:03:21,720 --> 01:03:23,240
Speaker 1: you're not allowed to operate your business. I mean the

1199
01:03:23,240 --> 01:03:24,960
Speaker 1: whole thing about it. These are people that want their

1200
01:03:24,960 --> 01:03:26,959
Speaker 1: workers to go. This guy doesn't it doesn't know anything.

1201
01:03:27,000 --> 01:03:28,800
Speaker 1: I mean, people are right for the nation are a

1202
01:03:28,880 --> 01:03:31,480
Speaker 1: joke and they're atrocious. So that's they're not they're not

1203
01:03:31,560 --> 01:03:34,959
Speaker 1: intellectually worthwhile, they're not nice people, they're not decent people,

1204
01:03:35,000 --> 01:03:37,640
Speaker 1: and the Nation is a trash heap. It's like Media

1205
01:03:37,720 --> 01:03:40,840
Speaker 1: Matters trash heap. If you work for Media Matters, you're

1206
01:03:40,880 --> 01:03:43,320
Speaker 1: part of a trash organization. You're probably a trash human being.

1207
01:03:43,360 --> 01:03:46,720
Speaker 1: If you work for the Nation, ninety percent chance you're

1208
01:03:46,760 --> 01:03:49,320
Speaker 1: trash human being. But me and meaning you know, you're

1209
01:03:49,400 --> 01:03:51,959
Speaker 1: you're smarmie, you don't care about people. You're not nice,

1210
01:03:52,000 --> 01:03:58,960
Speaker 1: you're not decent, You're a sanctimonious, smug, worthless lib. It

1211
01:03:59,040 --> 01:04:00,880
Speaker 1: just like a look down And everybody with all of

1212
01:04:00,920 --> 01:04:04,000
Speaker 1: the condescension because you went to some second or third

1213
01:04:04,080 --> 01:04:09,120
Speaker 1: tier liberal arts college in the Northeast, woo fantastic. We're

1214
01:04:09,120 --> 01:04:12,960
Speaker 1: all supposed to be so impressed. It's gross. That's gross.

1215
01:04:13,880 --> 01:04:16,600
Speaker 1: You know what else is going on the narrative while

1216
01:04:16,640 --> 01:04:18,160
Speaker 1: we're being told that if you have a problem with this,

1217
01:04:18,200 --> 01:04:20,280
Speaker 1: Remember that guy was talking about the protesters. How dare

1218
01:04:20,320 --> 01:04:22,840
Speaker 1: they protest? People don't have food, they don't have jobs,

1219
01:04:23,120 --> 01:04:25,360
Speaker 1: they don't have a future right now, And the government's

1220
01:04:25,360 --> 01:04:27,160
Speaker 1: acting like a bunch of morons in a lot of places,

1221
01:04:27,200 --> 01:04:29,800
Speaker 1: telling us beaches can't be open. Why can't beaches be open?

1222
01:04:30,840 --> 01:04:33,400
Speaker 1: Can't operate a store? You know the chances if somebody

1223
01:04:33,400 --> 01:04:35,640
Speaker 1: comes into your store for five minutes, And first of all,

1224
01:04:35,720 --> 01:04:38,080
Speaker 1: anyone who thinks they're sick should stay home. I mean,

1225
01:04:38,080 --> 01:04:40,360
Speaker 1: we have to. We have to operate in society assuming

1226
01:04:40,400 --> 01:04:42,480
Speaker 1: that not everyone's acting like a moron. Right. If you

1227
01:04:42,520 --> 01:04:44,600
Speaker 1: have a shallow cough and you think you might have

1228
01:04:44,640 --> 01:04:49,439
Speaker 1: COVID nineteen, quarantine yourself straight up for two weeks. Get

1229
01:04:49,440 --> 01:04:52,000
Speaker 1: the test obviously as soon as you can, But quarantine yourself.

1230
01:04:53,120 --> 01:04:55,280
Speaker 1: We all know that there are the things that are

1231
01:04:55,040 --> 01:04:57,320
Speaker 1: that we're going to do, no matter what the government says.

1232
01:04:58,200 --> 01:05:01,280
Speaker 1: It's the government action here that maybe exacerbating the problem,

1233
01:05:01,280 --> 01:05:04,760
Speaker 1: making things much much worse. Not then brings me to

1234
01:05:05,200 --> 01:05:07,600
Speaker 1: the case study of the subway here in New York City.

1235
01:05:08,080 --> 01:05:11,240
Speaker 1: It's a paper out of MIT that looks at the subway.

1236
01:05:11,960 --> 01:05:14,720
Speaker 1: This is a working paper by Jeffrey Harris. The subway

1237
01:05:14,760 --> 01:05:19,680
Speaker 1: seeded the massive coronavirus epidemic in New York City. Now

1238
01:05:19,680 --> 01:05:22,920
Speaker 1: it's an academic paper. Here's what it says. Here's the abstract.

1239
01:05:23,480 --> 01:05:26,480
Speaker 1: New York City's multi tentacled subway system was a major disseminator,

1240
01:05:26,520 --> 01:05:30,439
Speaker 1: if not the principal transmission vehicle, of coronavirus infection during

1241
01:05:30,440 --> 01:05:33,760
Speaker 1: the initial initial takeoff of the massive epidemic that became

1242
01:05:33,760 --> 01:05:36,720
Speaker 1: evident throughout the city during March twenty twenty. The near

1243
01:05:36,800 --> 01:05:40,040
Speaker 1: shutdown of subway ridership in Manhattan down by over ninety

1244
01:05:40,120 --> 01:05:42,120
Speaker 1: percent at the end of March, correlates strongly with the

1245
01:05:42,160 --> 01:05:45,200
Speaker 1: substantial rise in doubling time of new cases in this burrow.

1246
01:05:45,840 --> 01:05:47,720
Speaker 1: Increase in the doubling time of new cases in the

1247
01:05:47,800 --> 01:05:52,479
Speaker 1: burrow maps of subway station turnstile entries superimposed upon zip

1248
01:05:52,480 --> 01:05:56,320
Speaker 1: code level maps of reported coronavirus incidents are strongly consistent

1249
01:05:56,360 --> 01:06:00,760
Speaker 1: with subway facilitated disease propagation. Local train lines appear to

1250
01:06:00,880 --> 01:06:03,880
Speaker 1: have a higher propensity to transmit infection than express lines.

1251
01:06:04,320 --> 01:06:07,040
Speaker 1: Reciprocal seating of infection appears to be the best explanation

1252
01:06:07,080 --> 01:06:09,160
Speaker 1: for the emergence of a single hot spot in midtown

1253
01:06:09,200 --> 01:06:12,160
Speaker 1: West Manhattan's right where I live, by the way, bus

1254
01:06:12,200 --> 01:06:16,000
Speaker 1: hubs may have served as a secondary transmission. Why has

1255
01:06:16,000 --> 01:06:18,600
Speaker 1: New York been hit so hard? Because we have a

1256
01:06:18,600 --> 01:06:21,800
Speaker 1: subway system with millions of people crowded into enclosed areas

1257
01:06:22,240 --> 01:06:25,680
Speaker 1: and in some cases for long periods of time. I

1258
01:06:25,760 --> 01:06:27,960
Speaker 1: read through this whole study of the weekend. It's exactly

1259
01:06:28,040 --> 01:06:29,880
Speaker 1: what I've been telling family and friends for weeks in

1260
01:06:29,880 --> 01:06:32,720
Speaker 1: the city. This is what happened. New York had the

1261
01:06:32,720 --> 01:06:35,200
Speaker 1: spread of this because it's an international transit hub from

1262
01:06:35,200 --> 01:06:38,520
Speaker 1: Europe and from China both. We got it from both,

1263
01:06:39,560 --> 01:06:42,080
Speaker 1: and it started to spread rapidly here in the city.

1264
01:06:42,800 --> 01:06:46,920
Speaker 1: And it's spread far and wide along the same route

1265
01:06:46,920 --> 01:06:50,600
Speaker 1: that the subway goes. And the worst cases were further

1266
01:06:50,720 --> 01:06:54,400
Speaker 1: out on the subway line places and far out Queens

1267
01:06:54,400 --> 01:06:57,880
Speaker 1: and far out Brooklyn. And it's because the longer you're

1268
01:06:57,920 --> 01:07:00,360
Speaker 1: on the train, the more people come on and off

1269
01:07:00,400 --> 01:07:03,120
Speaker 1: the train, the more prolonged your exposure, and there are

1270
01:07:03,160 --> 01:07:06,360
Speaker 1: more people to expose you too. That's what happened. I mean,

1271
01:07:06,360 --> 01:07:08,920
Speaker 1: I've been looking at this for a long time. Someone

1272
01:07:08,960 --> 01:07:11,120
Speaker 1: like me I'm on the subway during the month of

1273
01:07:11,160 --> 01:07:13,840
Speaker 1: the highest spread of the desire, I should say the yeah,

1274
01:07:13,880 --> 01:07:18,120
Speaker 1: February when it was spreading effectively, completely unregulated, and no

1275
01:07:18,160 --> 01:07:20,120
Speaker 1: one really even knew about it, and then into March

1276
01:07:20,160 --> 01:07:22,120
Speaker 1: when everyone realized, oh my gosh, we got a monster

1277
01:07:22,160 --> 01:07:24,160
Speaker 1: on our hands here. I was on the subway four

1278
01:07:24,160 --> 01:07:27,280
Speaker 1: times a day, two subway rides to do my first

1279
01:07:27,360 --> 01:07:29,760
Speaker 1: radio show, two subway rides to do my second radio show,

1280
01:07:29,880 --> 01:07:33,640
Speaker 1: every single day. But my subway rides last about ten

1281
01:07:33,640 --> 01:07:36,680
Speaker 1: to fifteen minutes because I'm only going on the island

1282
01:07:36,720 --> 01:07:40,320
Speaker 1: of Manhattan. I'm not traveling to the outer boroughs, so

1283
01:07:40,440 --> 01:07:43,040
Speaker 1: I spent less time. It still is at high risk

1284
01:07:43,080 --> 01:07:44,760
Speaker 1: for this disease, by the way, but I spent less

1285
01:07:44,800 --> 01:07:48,120
Speaker 1: time on the subway than someone who's coming forty five

1286
01:07:48,160 --> 01:07:50,400
Speaker 1: minutes an hour, an hour and fifteen minutes from far

1287
01:07:50,440 --> 01:07:54,280
Speaker 1: out in Queens. Guests where you've had the worst pockets

1288
01:07:54,400 --> 01:07:59,600
Speaker 1: of worst pockets of disease, you know, the biggest outbreaks

1289
01:07:59,600 --> 01:08:03,200
Speaker 1: have been and far out on the subway line, though

1290
01:08:03,280 --> 01:08:06,280
Speaker 1: not away from the subway, far out on the subway line.

1291
01:08:07,200 --> 01:08:09,480
Speaker 1: And this all makes sense from everything we know about

1292
01:08:09,520 --> 01:08:11,920
Speaker 1: this disease. That it first of all, likes dark. It

1293
01:08:12,080 --> 01:08:16,280
Speaker 1: likes you know, dark and cool climate. It likes enclosed spaces,

1294
01:08:16,400 --> 01:08:19,080
Speaker 1: just like the flute. It likes people being close and

1295
01:08:19,120 --> 01:08:22,639
Speaker 1: packed into each other. So you would come on the subway,

1296
01:08:23,479 --> 01:08:26,240
Speaker 1: be exposed this virus, and then go home to your community,

1297
01:08:26,320 --> 01:08:28,519
Speaker 1: and then spread it to more people in your community.

1298
01:08:28,800 --> 01:08:31,240
Speaker 1: And that kept happening and happening and happening all along

1299
01:08:31,240 --> 01:08:34,519
Speaker 1: the subway lines. It also explains why Manhattan has had

1300
01:08:34,680 --> 01:08:39,120
Speaker 1: far less exposure to this virus so far, understands exposure

1301
01:08:39,160 --> 01:08:42,360
Speaker 1: far and less cases of this virus so far than

1302
01:08:42,640 --> 01:08:45,880
Speaker 1: other places further from the center of the city and

1303
01:08:46,920 --> 01:08:50,320
Speaker 1: commercial activity. And then you know what happened the city

1304
01:08:50,320 --> 01:08:54,280
Speaker 1: authorities after the subway had been the primary transmission mechanism,

1305
01:08:54,320 --> 01:08:56,320
Speaker 1: which I believe it was, Which is why why are

1306
01:08:56,320 --> 01:08:58,160
Speaker 1: we so much worse off than Los Angeles? Here? Los

1307
01:08:58,200 --> 01:09:01,479
Speaker 1: Angeles a huge city, millions of millions of people. We've got,

1308
01:09:02,200 --> 01:09:04,920
Speaker 1: we've got you know, I can't even do the math,

1309
01:09:05,000 --> 01:09:08,000
Speaker 1: but we've got such a worse situation here than Los

1310
01:09:08,040 --> 01:09:11,479
Speaker 1: Angeles does. It's not even close. Why would that be

1311
01:09:11,520 --> 01:09:13,559
Speaker 1: the case, Well, because Los Angeles doesn't have a mass

1312
01:09:13,600 --> 01:09:17,479
Speaker 1: transportation system, and other cities. Yeah, they've had some bad outbreaks,

1313
01:09:17,479 --> 01:09:20,240
Speaker 1: but it's not spiraling out of control. They don't have

1314
01:09:20,280 --> 01:09:23,320
Speaker 1: a mass transportation system, the New York City subway, which

1315
01:09:23,360 --> 01:09:25,800
Speaker 1: is the transportation heart. You can't get anywhere here unless

1316
01:09:25,800 --> 01:09:27,200
Speaker 1: you're on the subway. Really, I mean, you can't go

1317
01:09:27,240 --> 01:09:29,719
Speaker 1: to work, you can't do it. You'll wait in traffic forever.

1318
01:09:29,760 --> 01:09:31,680
Speaker 1: I mean, driving in and out of this city at

1319
01:09:31,680 --> 01:09:34,240
Speaker 1: the wrong time is almost impond People do it, but

1320
01:09:34,240 --> 01:09:37,080
Speaker 1: it's you know, it's a really difficult, really difficult thing

1321
01:09:37,080 --> 01:09:39,920
Speaker 1: to do every day. The subway is the heart of

1322
01:09:39,920 --> 01:09:43,799
Speaker 1: the city for commercial purposes, for transit purposes. Subway workers

1323
01:09:44,320 --> 01:09:48,760
Speaker 1: more subway workers per capita infected with coronavirus than the

1324
01:09:48,800 --> 01:09:52,160
Speaker 1: worst zip codes of the five boroughs. So of course

1325
01:09:52,160 --> 01:09:55,200
Speaker 1: subway workers were particularly high risk of getting this because

1326
01:09:55,200 --> 01:09:57,479
Speaker 1: the subway was the main mechanism for transmission and they're

1327
01:09:57,520 --> 01:10:01,040
Speaker 1: on the subway all the time. So this is what happened.

1328
01:10:01,880 --> 01:10:03,439
Speaker 1: And you know what they told us to do once

1329
01:10:03,479 --> 01:10:07,000
Speaker 1: that had already spread far and wide on the subway lockdown,

1330
01:10:07,040 --> 01:10:09,800
Speaker 1: at home school shut down. Do you know what one

1331
01:10:09,800 --> 01:10:11,400
Speaker 1: of the worst things you can possibly do when you

1332
01:10:11,479 --> 01:10:15,519
Speaker 1: already have very widespread transmission of this virus is without

1333
01:10:15,560 --> 01:10:19,120
Speaker 1: making any distinctions. Tell people who are younger and healthier, now,

1334
01:10:19,200 --> 01:10:21,479
Speaker 1: you can't even leave the house. You must stay at

1335
01:10:21,560 --> 01:10:26,479
Speaker 1: home all day coughing, touching things, coughing, touching things with you.

1336
01:10:27,160 --> 01:10:29,840
Speaker 1: You know, your grandma, your grandpa there, elderly relatives or

1337
01:10:29,880 --> 01:10:34,960
Speaker 1: your parents there. Who are you over sixty five? Yeah,

1338
01:10:35,120 --> 01:10:37,760
Speaker 1: that's what the city authorities. That was their plan. Lock

1339
01:10:37,840 --> 01:10:40,120
Speaker 1: everybody down at home. The disease had already spread all

1340
01:10:40,160 --> 01:10:42,320
Speaker 1: over the city. You're here, They're going to find that

1341
01:10:42,360 --> 01:10:44,360
Speaker 1: at least a million people who are exposed to this

1342
01:10:44,479 --> 01:10:47,160
Speaker 1: at some level. To get anybody and have anybodies from it,

1343
01:10:47,200 --> 01:10:49,599
Speaker 1: that's my guests. We know over one hundred and fifty

1344
01:10:49,640 --> 01:10:52,960
Speaker 1: thousand cases confirmed, might have been two or three million

1345
01:10:52,960 --> 01:10:54,760
Speaker 1: people that have antibodies to this at this point or

1346
01:10:54,800 --> 01:10:57,640
Speaker 1: have been have at some level of exposure. And then

1347
01:10:57,680 --> 01:10:59,400
Speaker 1: they shut it down. They told everybody to go home.

1348
01:10:59,600 --> 01:11:02,120
Speaker 1: You know what I did made it worse. But listen

1349
01:11:02,160 --> 01:11:04,920
Speaker 1: to the experts they tell you. Thanks for listening to

1350
01:11:04,960 --> 01:11:09,240
Speaker 1: the Bus Sesson Show podcast. Remember to subscribe on Apple podcast,

1351
01:11:09,439 --> 01:11:12,640
Speaker 1: the iHeart Radio app, or wherever you get your podcasts.

1352
01:11:13,680 --> 01:11:15,760
Speaker 1: All right, Team I also wanted to check in on

1353
01:11:15,840 --> 01:11:19,000
Speaker 1: our friend in Brooklyn, mister Chadwick Moore. He is with

1354
01:11:19,080 --> 01:11:22,800
Speaker 1: us now. He is a commist for Spectator USA, and

1355
01:11:23,000 --> 01:11:25,519
Speaker 1: he is like me on Lockdown and also has a

1356
01:11:25,560 --> 01:11:27,360
Speaker 1: better beard, which makes me a little bit jealous. But

1357
01:11:27,360 --> 01:11:31,040
Speaker 1: good to see you, my friend. Hey, Buck, how's it going.

1358
01:11:31,360 --> 01:11:33,840
Speaker 1: Nice to see you. Yeah, I'm you know, I'm hanging

1359
01:11:33,880 --> 01:11:36,000
Speaker 1: in there. Just promise me, if you're gonna go jogging,

1360
01:11:36,360 --> 01:11:39,439
Speaker 1: you're not going to wear a face mask during the jog. Okay.

1361
01:11:39,479 --> 01:11:41,479
Speaker 1: People are losing their minds in this city and it's

1362
01:11:41,520 --> 01:11:44,599
Speaker 1: starting to freak me out. Yeah, but then I might

1363
01:11:44,600 --> 01:11:48,640
Speaker 1: get reported by the squeal squaded by don't wear a

1364
01:11:48,640 --> 01:11:51,360
Speaker 1: face maskball jogging? Aren't you? Aren't you a little bit

1365
01:11:51,360 --> 01:11:55,799
Speaker 1: taken aback by? Just how how overt the the nanny

1366
01:11:55,960 --> 01:11:59,960
Speaker 1: stadism and then the hall the hall monitorization of America

1367
01:12:00,280 --> 01:12:03,560
Speaker 1: has to become In some of these big cities Deblasio Garcetti,

1368
01:12:03,760 --> 01:12:06,439
Speaker 1: They're like, hey, if you see somebody I'm lder, we're

1369
01:12:06,439 --> 01:12:09,599
Speaker 1: gonna take out, like you know, rulers, or how are

1370
01:12:09,600 --> 01:12:12,200
Speaker 1: we gonna do these measurements? Oh, somebody was three feet

1371
01:12:12,240 --> 01:12:14,160
Speaker 1: away from somebody else in the grocery store. This is

1372
01:12:14,200 --> 01:12:16,559
Speaker 1: just a it's absurd, beyond belief. But I think it

1373
01:12:16,600 --> 01:12:19,880
Speaker 1: really does show that unfortunately, this has become it's not

1374
01:12:19,960 --> 01:12:23,200
Speaker 1: even that it's just political. Political philosophy has has gotten

1375
01:12:23,200 --> 01:12:25,200
Speaker 1: involved in this now where the people that believe the

1376
01:12:25,320 --> 01:12:28,040
Speaker 1: state is competent think that the state should be able

1377
01:12:28,080 --> 01:12:30,439
Speaker 1: to do all these things right exactly. You know, I

1378
01:12:30,520 --> 01:12:33,880
Speaker 1: keep thinking of that Ralph Wigham, meaning like, look, I'm

1379
01:12:33,880 --> 01:12:38,000
Speaker 1: helping every time Deblasio tries to pretend like he's doing

1380
01:12:38,000 --> 01:12:41,120
Speaker 1: as much as Andrew Cuomo or Eric Garcetti. Look, just

1381
01:12:41,160 --> 01:12:43,679
Speaker 1: a couple of months ago, the big story about these mayors,

1382
01:12:43,800 --> 01:12:48,759
Speaker 1: especially Eric Garcetti, was the absolute state of their cities

1383
01:12:48,880 --> 01:12:52,320
Speaker 1: in terms of the homeless crisis, the death the disease

1384
01:12:52,439 --> 01:12:55,200
Speaker 1: type point fever, bubonic plague on the streets of these

1385
01:12:55,240 --> 01:12:59,960
Speaker 1: homeless agamment. They were health department disasters these cities. These

1386
01:13:00,560 --> 01:13:03,720
Speaker 1: public health worker, city officials, cops, people work in city hall,

1387
01:13:03,800 --> 01:13:07,320
Speaker 1: especially in Los Angeles, We're getting diseases that we thought

1388
01:13:07,320 --> 01:13:09,639
Speaker 1: were wiped out in the Middle Ages. Now suddenly they

1389
01:13:09,720 --> 01:13:12,800
Speaker 1: think that they can control this. It's almost like, you know,

1390
01:13:12,800 --> 01:13:16,240
Speaker 1: I guess that they feel they have to iwas ever

1391
01:13:16,320 --> 01:13:19,960
Speaker 1: increasing Dracconian measures just to pretend like they're doing something,

1392
01:13:20,000 --> 01:13:23,280
Speaker 1: to pretend like they're helping, when by a large what

1393
01:13:23,400 --> 01:13:26,360
Speaker 1: are these things actually doing. Nobody usually acknowledge the fact

1394
01:13:26,360 --> 01:13:28,479
Speaker 1: that the whole reason why people get sick more often

1395
01:13:28,520 --> 01:13:31,640
Speaker 1: in the wintertime is because they're indoors. There's nothing to

1396
01:13:31,760 --> 01:13:35,160
Speaker 1: do with the cold making breeding viruses. I mean, they

1397
01:13:35,160 --> 01:13:36,639
Speaker 1: do tend to die off for and it's warmer out,

1398
01:13:36,680 --> 01:13:39,280
Speaker 1: but it's people being indoors and in close proximity to

1399
01:13:39,320 --> 01:13:43,200
Speaker 1: each other, being outdoors and maybe not not large gatherings,

1400
01:13:43,240 --> 01:13:45,639
Speaker 1: but these are helping things to do if you're staying

1401
01:13:45,640 --> 01:13:48,160
Speaker 1: a way for other people. And also the you know,

1402
01:13:48,280 --> 01:13:51,679
Speaker 1: I mentioned the Nanni statism, but we're seeing something that's

1403
01:13:51,720 --> 01:13:55,519
Speaker 1: that some conservatives and I will admit some libertarians have

1404
01:13:55,600 --> 01:13:58,160
Speaker 1: been have been worried about for a while, and that

1405
01:13:58,479 --> 01:14:02,440
Speaker 1: is the the leveraging of the biggest social media platforms

1406
01:14:02,720 --> 01:14:06,400
Speaker 1: as really a tool of the state to shut down

1407
01:14:06,439 --> 01:14:09,360
Speaker 1: I mean, now you know, Nebraska has had this. A

1408
01:14:09,439 --> 01:14:11,360
Speaker 1: bunch of other states I can't think of the top

1409
01:14:11,439 --> 01:14:13,160
Speaker 1: I think New Jersey was one of them, but a

1410
01:14:13,160 --> 01:14:16,960
Speaker 1: bunch of these states have had social media platforms say no,

1411
01:14:17,560 --> 01:14:21,600
Speaker 1: you're not allowed to organize a protest against the lockdown

1412
01:14:21,640 --> 01:14:25,400
Speaker 1: measures on our program on Facebook being the case in point,

1413
01:14:25,680 --> 01:14:29,840
Speaker 1: because the government says you can't, that any journalists would

1414
01:14:29,880 --> 01:14:32,320
Speaker 1: view that as anything other than a huge First Amendment

1415
01:14:32,680 --> 01:14:34,680
Speaker 1: red flag. I mean, I know you could say it's

1416
01:14:34,720 --> 01:14:36,880
Speaker 1: not the state, it's it's but at the First Amendment,

1417
01:14:36,920 --> 01:14:38,800
Speaker 1: I mean, your free speech perhaps a better way to

1418
01:14:38,840 --> 01:14:41,240
Speaker 1: put it. This is mind boggling. I mean, now you

1419
01:14:41,280 --> 01:14:43,559
Speaker 1: can't even use your you can't even use social media

1420
01:14:43,560 --> 01:14:48,200
Speaker 1: platforms to redress, to gather together to redress your government

1421
01:14:48,240 --> 01:14:52,360
Speaker 1: for grievances. Exactly. Yeah, it's right now. It's been California, Nebraska,

1422
01:14:52,400 --> 01:14:56,639
Speaker 1: and New Jersey. Mark Zuckerberg, the most trustworthy man in America,

1423
01:14:56,680 --> 01:15:00,800
Speaker 1: whoever would just loves cud league. Mark said to George Stefanopolus,

1424
01:15:00,840 --> 01:15:02,600
Speaker 1: I believe it was just today, or maybe it was

1425
01:15:02,960 --> 01:15:06,200
Speaker 1: over the weekend, so that we are removing pages of

1426
01:15:06,280 --> 01:15:09,880
Speaker 1: these groups that try to protest now these issues of

1427
01:15:09,960 --> 01:15:11,760
Speaker 1: this government overreach. I mean, this is a stuff that

1428
01:15:11,840 --> 01:15:14,800
Speaker 1: that really gets people were into political philosophy on the right,

1429
01:15:15,320 --> 01:15:17,160
Speaker 1: very fired up and very excited about it. I mean,

1430
01:15:17,200 --> 01:15:20,559
Speaker 1: this is the definition of these govern overreach measures. Look

1431
01:15:20,560 --> 01:15:24,040
Speaker 1: at Michigan, where you can't go fishing by yourself in

1432
01:15:24,080 --> 01:15:27,760
Speaker 1: the isolated Upper Peninsula, but you know, and you can't

1433
01:15:27,960 --> 01:15:29,960
Speaker 1: buy your own seeds from the hardware store to grow

1434
01:15:29,960 --> 01:15:32,519
Speaker 1: your own food, but you can still buy lottery tickets.

1435
01:15:33,080 --> 01:15:36,000
Speaker 1: The governor can still have her hair and make up

1436
01:15:36,080 --> 01:15:39,160
Speaker 1: done professionally and before she goes on TV for thirteen

1437
01:15:39,200 --> 01:15:42,400
Speaker 1: hours a day. But you can't go fishing. It's absolute

1438
01:15:42,439 --> 01:15:45,800
Speaker 1: government overreach. These you can't even buy furniture, doesn't want

1439
01:15:45,840 --> 01:15:48,920
Speaker 1: you decorating your homes. You can't visit your neighbors or

1440
01:15:49,240 --> 01:15:53,679
Speaker 1: family members. So just imagine if something the left really

1441
01:15:53,720 --> 01:15:56,320
Speaker 1: cares about saying these social media platforms started saying that

1442
01:15:56,360 --> 01:16:00,920
Speaker 1: Antifa couldn't hold their imaginary anti white suprema rallies whatever,

1443
01:16:01,040 --> 01:16:03,880
Speaker 1: How would the media be reacting, How would the left

1444
01:16:03,960 --> 01:16:05,560
Speaker 1: be reacting. I mean, it just goes to show that

1445
01:16:05,640 --> 01:16:07,720
Speaker 1: we know, all along as these double standards that the

1446
01:16:07,840 --> 01:16:10,920
Speaker 1: left is certainly the media is in the pocket of

1447
01:16:10,960 --> 01:16:14,120
Speaker 1: the government of the left is certainly on their side. Uh.

1448
01:16:14,200 --> 01:16:18,599
Speaker 1: And it's it's so egregious. These social media companies, obviously

1449
01:16:18,640 --> 01:16:21,639
Speaker 1: they're doing nothing different than they've been doing forever. Which

1450
01:16:21,680 --> 01:16:24,640
Speaker 1: is silencing voices on the right that they do not like.

1451
01:16:25,360 --> 01:16:29,280
Speaker 1: It used to be individual characters, individual individuals, the individual

1452
01:16:29,320 --> 01:16:31,840
Speaker 1: posts from people. Now it's these groups that just want

1453
01:16:31,840 --> 01:16:36,680
Speaker 1: to organize to speak their minds, and they now that

1454
01:16:36,720 --> 01:16:40,400
Speaker 1: we have this crisis and everyone is freaked out that

1455
01:16:40,560 --> 01:16:45,719
Speaker 1: these these giant tech companies are increasingly shameless and admitting

1456
01:16:45,720 --> 01:16:47,960
Speaker 1: how much control they have and how much centership they have.

1457
01:16:48,080 --> 01:16:50,680
Speaker 1: Google just the other day it was probably admitted that

1458
01:16:50,720 --> 01:16:53,880
Speaker 1: they're tracking people's movements by their cell phones in one

1459
01:16:53,960 --> 01:16:56,400
Speaker 1: hundred and thirty one countries to make sure that they're

1460
01:16:56,640 --> 01:17:01,200
Speaker 1: social distancing and staying at home. Clearly that they're being

1461
01:17:01,240 --> 01:17:04,360
Speaker 1: they're being enlisted, and it's willing by these companies. All

1462
01:17:04,360 --> 01:17:05,800
Speaker 1: of the companies, I'm sure would say that they can

1463
01:17:05,840 --> 01:17:07,479
Speaker 1: be regulated by the state. If they didn't, you know,

1464
01:17:07,520 --> 01:17:09,800
Speaker 1: there'd be some executive order right that that Facebook or

1465
01:17:09,840 --> 01:17:12,559
Speaker 1: Google has to share this data. They are being enlisted

1466
01:17:12,600 --> 01:17:15,840
Speaker 1: by the state to control what we can say, to

1467
01:17:16,280 --> 01:17:20,280
Speaker 1: prohibit gatherings for specifically for political issues and redress of government,

1468
01:17:20,520 --> 01:17:24,320
Speaker 1: and to share our movements with the government. That's that

1469
01:17:24,600 --> 01:17:26,160
Speaker 1: seems like this is the stuff that people have been

1470
01:17:26,160 --> 01:17:29,720
Speaker 1: talking about for a long time. Yeah, and anyone who

1471
01:17:29,720 --> 01:17:32,519
Speaker 1: ever made those comments about well, these are private companies,

1472
01:17:32,520 --> 01:17:35,040
Speaker 1: they can do whatever they want. That that I Roll

1473
01:17:35,080 --> 01:17:38,559
Speaker 1: and company. This just goes to show how how entwined

1474
01:17:38,600 --> 01:17:41,000
Speaker 1: they are with the governments in our states and our

1475
01:17:41,000 --> 01:17:44,160
Speaker 1: federal government because they also are building our websites. You know,

1476
01:17:44,240 --> 01:17:46,680
Speaker 1: the state governors and the medal governments are happy to

1477
01:17:46,680 --> 01:17:49,960
Speaker 1: say that Google is helping them with their unemployment websites,

1478
01:17:50,000 --> 01:17:52,960
Speaker 1: with their COVID nineteen websites. So these companies have been

1479
01:17:53,000 --> 01:17:56,280
Speaker 1: for a long time entrenched in the state and uh

1480
01:17:56,360 --> 01:17:59,640
Speaker 1: and now they you know they can. They are just

1481
01:18:00,160 --> 01:18:02,800
Speaker 1: waving in our faces. Because who's really going to get

1482
01:18:02,880 --> 01:18:05,920
Speaker 1: upset if a bunch of right wingers in Michigan wanted

1483
01:18:05,960 --> 01:18:11,720
Speaker 1: to get together and express their agrievances against the government. Uh.

1484
01:18:11,760 --> 01:18:13,240
Speaker 1: You may have also saw that tweet. I think it

1485
01:18:13,280 --> 01:18:16,759
Speaker 1: was last week North Carolina. A group in Raleigh wanted

1486
01:18:16,800 --> 01:18:20,280
Speaker 1: to organize in the police. The Raleigh Police Department tweeted

1487
01:18:20,320 --> 01:18:23,720
Speaker 1: that protesting is a non essential activity. Well, you want

1488
01:18:23,720 --> 01:18:27,200
Speaker 1: to get the blood boiling of any constitution, lover, then

1489
01:18:27,320 --> 01:18:29,680
Speaker 1: there you have it. And now there's one there's one

1490
01:18:29,720 --> 01:18:32,160
Speaker 1: topic that we're just we're switching gears here a little bit.

1491
01:18:32,160 --> 01:18:33,960
Speaker 1: But this this comes from you, Chadwick. So I wanted

1492
01:18:33,960 --> 01:18:36,519
Speaker 1: to give you an opportunity to explain what this is

1493
01:18:36,760 --> 01:18:40,600
Speaker 1: you want to discuss today. How quote Joe Exotic is

1494
01:18:40,640 --> 01:18:46,200
Speaker 1: the greatest living gay role model end quote, Please explain? Well,

1495
01:18:46,240 --> 01:18:48,360
Speaker 1: that came from a calm I wrote in the Spectator.

1496
01:18:48,400 --> 01:18:50,639
Speaker 1: Joe Exotic is, of course the star of Tiger King.

1497
01:18:50,720 --> 01:18:54,200
Speaker 1: That that I'm sure most your audience now you know

1498
01:18:54,280 --> 01:18:56,840
Speaker 1: you've been talking about it. Yeah, yeah, Who who would

1499
01:18:56,840 --> 01:19:00,240
Speaker 1: have thought that a gay, a gay man in heard

1500
01:19:00,240 --> 01:19:03,160
Speaker 1: print glitter who ran a private zoo in Oklahoma would

1501
01:19:03,160 --> 01:19:05,560
Speaker 1: have brought the nation together during the biggest crisis in

1502
01:19:05,600 --> 01:19:08,720
Speaker 1: our lifetimes. But he seems to have. Uh. Well, it's

1503
01:19:08,760 --> 01:19:10,880
Speaker 1: interesting because I love. What I love about him is

1504
01:19:10,920 --> 01:19:13,839
Speaker 1: he's the I Sir compared him to. He's the chaotic

1505
01:19:13,880 --> 01:19:18,080
Speaker 1: libertine right, and his arch nemesis, the Carol Baskin is

1506
01:19:18,280 --> 01:19:23,160
Speaker 1: so perfectly this authoritarian uptight. She's so Hillary Clinton in

1507
01:19:23,160 --> 01:19:25,160
Speaker 1: a way, he's so Donald Trump. I think that's why

1508
01:19:25,320 --> 01:19:28,160
Speaker 1: a lot a lot of what one of the reasons

1509
01:19:28,160 --> 01:19:31,240
Speaker 1: why this show is resonated, because we're still reliving those

1510
01:19:31,920 --> 01:19:34,880
Speaker 1: two forces in our society and these two in this

1511
01:19:35,160 --> 01:19:38,760
Speaker 1: in this weird microcosm of private zookeeping, so perfectly put

1512
01:19:38,760 --> 01:19:41,120
Speaker 1: it together. But one thing that's interesting too is you

1513
01:19:41,439 --> 01:19:46,479
Speaker 1: might know, sure, he's got very sordid and grim life.

1514
01:19:46,520 --> 01:19:48,280
Speaker 1: You know, there's drugs around him all the time. He

1515
01:19:48,360 --> 01:19:52,280
Speaker 1: seduces men constantly, but he's also he throws a wrench

1516
01:19:52,360 --> 01:19:56,479
Speaker 1: into the whole gay lobbies narrative that that and this

1517
01:19:56,560 --> 01:19:58,599
Speaker 1: is something I've known for a long time, being from

1518
01:19:58,880 --> 01:20:01,559
Speaker 1: a rural part of Tennis. See that you know that

1519
01:20:01,640 --> 01:20:04,400
Speaker 1: the Red State America, places like Oklahoma are filled with

1520
01:20:04,439 --> 01:20:08,120
Speaker 1: these homo hunting bigots, right when actually it's more of

1521
01:20:08,120 --> 01:20:10,360
Speaker 1: this sort of in group mentality. It always has been

1522
01:20:10,400 --> 01:20:12,400
Speaker 1: that like, yeah, you know, there's gonna be differences, but

1523
01:20:12,439 --> 01:20:16,400
Speaker 1: someone like him, he celebrated his community and he's wildly

1524
01:20:16,439 --> 01:20:20,719
Speaker 1: homosexual and out there. Um and as it really destroys

1525
01:20:20,720 --> 01:20:25,439
Speaker 1: that narrative about about the blanket bigotry of Trump Country

1526
01:20:25,439 --> 01:20:28,000
Speaker 1: and Red America. And uh, I just have to ask,

1527
01:20:28,320 --> 01:20:30,880
Speaker 1: do you think he's guilty or you think he got

1528
01:20:30,880 --> 01:20:33,880
Speaker 1: set up? I think he got set up. I think

1529
01:20:33,920 --> 01:20:36,920
Speaker 1: he's another one of these examples I do now I

1530
01:20:37,040 --> 01:20:41,360
Speaker 1: think that he um excuse me not covid um. I

1531
01:20:41,400 --> 01:20:44,639
Speaker 1: think that he It seems like and we and we've

1532
01:20:44,680 --> 01:20:50,920
Speaker 1: seen this with lots of high profile trials lately, like, um,

1533
01:20:50,960 --> 01:20:52,479
Speaker 1: you're gonna get some letters when I say this, But

1534
01:20:52,600 --> 01:20:54,600
Speaker 1: Harvey Weinstein, and I'm happy to go into why I

1535
01:20:54,600 --> 01:20:57,400
Speaker 1: feel that way, and with Roger Stone with a much

1536
01:20:57,479 --> 01:21:01,920
Speaker 1: better of these high profile trials where and where government

1537
01:21:01,960 --> 01:21:04,400
Speaker 1: resources are poured into investigate something and they got to

1538
01:21:04,400 --> 01:21:07,760
Speaker 1: come up with something. They've got to something like over

1539
01:21:07,960 --> 01:21:11,040
Speaker 1: ninety nine percent of fedbroal cases end up in a

1540
01:21:11,040 --> 01:21:13,519
Speaker 1: guilty verdict or plea. I mean in the better vermic car.

1541
01:21:13,560 --> 01:21:16,880
Speaker 1: I think it's ninety seven, but yeah, ninety seven. This

1542
01:21:16,920 --> 01:21:18,960
Speaker 1: is a fedbroal case. So the fish and wildlife came

1543
01:21:19,000 --> 01:21:20,760
Speaker 1: in the FBI. So I don't think it was a

1544
01:21:20,840 --> 01:21:24,040
Speaker 1: murderer higher plot against Susan Baskin. I mean that if

1545
01:21:24,040 --> 01:21:28,400
Speaker 1: you watch the film, it's extremely flimsy evidence, but with

1546
01:21:28,439 --> 01:21:32,599
Speaker 1: the abusing animals, probably seems like he had some tigers

1547
01:21:32,600 --> 01:21:35,920
Speaker 1: that he owned were maybe sick or too aggressive, and

1548
01:21:35,920 --> 01:21:38,000
Speaker 1: he just took out himself, killed them and buried him.

1549
01:21:38,040 --> 01:21:40,280
Speaker 1: I'm just gonna say this thing the one of the

1550
01:21:40,320 --> 01:21:43,160
Speaker 1: only things one of the only things that the American

1551
01:21:43,240 --> 01:21:47,400
Speaker 1: people in general will not abide. I mean, you know, murderer.

1552
01:21:47,479 --> 01:21:50,080
Speaker 1: Higher people might be able to say, you know, we

1553
01:21:50,160 --> 01:21:53,519
Speaker 1: all make mistakes. You know, you serve your time. You

1554
01:21:53,520 --> 01:21:57,680
Speaker 1: you abuse and or kill animals like you know, you know,

1555
01:21:57,800 --> 01:22:01,479
Speaker 1: in an abusive and abusive way. People are out for you. Man,

1556
01:22:01,560 --> 01:22:04,280
Speaker 1: They're coming for you. It is especially I mean especially

1557
01:22:04,360 --> 01:22:08,120
Speaker 1: dogs or cats, but tigers, cool animals like that too.

1558
01:22:08,320 --> 01:22:11,040
Speaker 1: M The American people will not abide that at all.

1559
01:22:11,080 --> 01:22:13,760
Speaker 1: So I think you're right in that the opinion of

1560
01:22:13,760 --> 01:22:16,200
Speaker 1: the jury and everything, it wasn't the murder for higher thing.

1561
01:22:16,240 --> 01:22:18,160
Speaker 1: That's a little more like, well maybe he did, maybe

1562
01:22:18,160 --> 01:22:20,400
Speaker 1: he didn't. It's oh, I'm sorry you were abusing. You

1563
01:22:20,439 --> 01:22:23,000
Speaker 1: were abusing these beautiful big cats that you were entrusted with.

1564
01:22:23,560 --> 01:22:25,960
Speaker 1: Unacceptable way. But but but hold on a second. There's one

1565
01:22:25,960 --> 01:22:29,479
Speaker 1: other thing. What do you have? Oh gosh, I'm like,

1566
01:22:29,520 --> 01:22:31,400
Speaker 1: how much trouble do I feel like? Really starting her?

1567
01:22:31,880 --> 01:22:34,639
Speaker 1: Do you have a little bit of a counter counter

1568
01:22:34,720 --> 01:22:37,879
Speaker 1: the narrative, a counter consensus, I should say, on Harvey Weinstein,

1569
01:22:37,920 --> 01:22:41,200
Speaker 1: are you one of those? I do? Yeah? I wrote

1570
01:22:41,200 --> 01:22:44,000
Speaker 1: about it too, because I mean, look, he's disgusting, he's

1571
01:22:44,000 --> 01:22:46,519
Speaker 1: a scumbag. But if you actually look at what he

1572
01:22:46,560 --> 01:22:48,800
Speaker 1: was convicted of, and you look at the charges, so

1573
01:22:48,920 --> 01:22:52,120
Speaker 1: you had, you know, something like one hundred women accused

1574
01:22:52,240 --> 01:22:56,360
Speaker 1: him of various levels of appropriate sexual behavior, sexual assault

1575
01:22:56,400 --> 01:22:59,160
Speaker 1: or whatever that range from lots of different things. It's

1576
01:22:59,160 --> 01:23:01,679
Speaker 1: a trial in New York. Only two women, right, they

1577
01:23:01,720 --> 01:23:05,160
Speaker 1: were several years old accusations. There were women that after

1578
01:23:05,240 --> 01:23:08,000
Speaker 1: they were together, you know, sent him loving text messages.

1579
01:23:08,080 --> 01:23:10,400
Speaker 1: I know they had continued relationships. I talked about this

1580
01:23:10,439 --> 01:23:12,160
Speaker 1: on my show, So I'm not I'm not about to,

1581
01:23:12,439 --> 01:23:14,320
Speaker 1: you know, slam this down and say, oh, we can't

1582
01:23:14,320 --> 01:23:16,680
Speaker 1: have his discussion. Yeah. Well, the thing that gets me

1583
01:23:16,680 --> 01:23:18,400
Speaker 1: about him is nobody with doubt that he's not a

1584
01:23:18,400 --> 01:23:21,920
Speaker 1: disgusting person. But but look at the culture behind that

1585
01:23:22,000 --> 01:23:23,880
Speaker 1: sent waynian that was another thing that was a jury

1586
01:23:23,880 --> 01:23:26,160
Speaker 1: of public opinion he had. He got twenty three years

1587
01:23:26,400 --> 01:23:29,080
Speaker 1: where he said, she said, And when you look at

1588
01:23:29,120 --> 01:23:33,080
Speaker 1: the actual charges, it's so of course the media ran

1589
01:23:33,160 --> 01:23:35,960
Speaker 1: with convicted of rap in all the headlines New York Times,

1590
01:23:35,960 --> 01:23:38,920
Speaker 1: blah blah. Well yeah, but not really. I mean, when

1591
01:23:38,960 --> 01:23:41,879
Speaker 1: you think of rape, you think of violent first degree felonies,

1592
01:23:41,920 --> 01:23:44,639
Speaker 1: sexual assault. He was actually convicted of like third degree

1593
01:23:44,760 --> 01:23:48,920
Speaker 1: statutory rate, but when you read it, it's actually the

1594
01:23:49,120 --> 01:23:53,280
Speaker 1: victim felt that they were unable to consent because of

1595
01:23:53,400 --> 01:23:57,200
Speaker 1: circumstance or physical the person, the other person's you know,

1596
01:23:57,240 --> 01:23:59,680
Speaker 1: physical problems. So basically like she felt she couldn't say

1597
01:23:59,720 --> 01:24:01,519
Speaker 1: no because he was fat, because he was powerful, so

1598
01:24:01,520 --> 01:24:03,240
Speaker 1: she never said yes. She never said no. You know,

1599
01:24:03,320 --> 01:24:05,599
Speaker 1: this is all this is kind of like nippicky stuff.

1600
01:24:05,600 --> 01:24:08,120
Speaker 1: But the reason why and I have still remain interested

1601
01:24:08,160 --> 01:24:11,360
Speaker 1: in this case is this culture is coming for everyone.

1602
01:24:11,520 --> 01:24:13,320
Speaker 1: He just happened to be the worst one. Everyone knew

1603
01:24:13,400 --> 01:24:15,880
Speaker 1: this was happening in Hollywood. But every man out there

1604
01:24:16,160 --> 01:24:19,200
Speaker 1: if Harvey Weinstein get twenty three years or he said

1605
01:24:19,280 --> 01:24:22,839
Speaker 1: she said from several years ago, and the charges are basically,

1606
01:24:23,120 --> 01:24:26,120
Speaker 1: he had some grim sexual encounter with someone and she

1607
01:24:26,160 --> 01:24:29,599
Speaker 1: didn't say yes, but she didn't say no. And where

1608
01:24:29,640 --> 01:24:32,160
Speaker 1: is that needing our culture? You know? I mean, at

1609
01:24:32,200 --> 01:24:34,639
Speaker 1: least he did get due process. I've been saying, look

1610
01:24:34,680 --> 01:24:37,000
Speaker 1: look at what they've done or whoever. Yeah, and I've

1611
01:24:37,000 --> 01:24:38,400
Speaker 1: been starting to cut you off. We have a delay,

1612
01:24:38,439 --> 01:24:41,080
Speaker 1: but look at what they've done with with Kavanaugh, and

1613
01:24:41,120 --> 01:24:43,120
Speaker 1: now what they've tried to do with Biden. By the

1614
01:24:43,320 --> 01:24:46,480
Speaker 1: standard will be weaponized to the utmost when it's politically,

1615
01:24:47,000 --> 01:24:49,439
Speaker 1: you know, useful, and it will also be discarded the

1616
01:24:49,439 --> 01:24:51,880
Speaker 1: moment that it's it's problematic. And as I've said, the

1617
01:24:51,960 --> 01:24:53,920
Speaker 1: standard that they have said with Yancy and I by

1618
01:24:53,920 --> 01:24:56,200
Speaker 1: the way, I actually completely I hadn't heard your analysis.

1619
01:24:56,240 --> 01:24:58,320
Speaker 1: I completely agree with you. Okay, I think that this

1620
01:24:58,400 --> 01:25:00,680
Speaker 1: is I think that this is an and so and

1621
01:25:00,800 --> 01:25:02,479
Speaker 1: you and I would get yelled at for this by

1622
01:25:02,479 --> 01:25:04,120
Speaker 1: a whole lot of people, but I think we're right.

1623
01:25:05,680 --> 01:25:09,160
Speaker 1: I continue to have to say that someone is guilty

1624
01:25:09,240 --> 01:25:12,439
Speaker 1: of rape in a circumstance like this, with so little

1625
01:25:12,479 --> 01:25:14,960
Speaker 1: evidence to say it's beyond a reasonable doubt. And a

1626
01:25:15,040 --> 01:25:20,599
Speaker 1: continuing relationship does not cast sexual relationship willful. Sexual relation

1627
01:25:20,760 --> 01:25:24,719
Speaker 1: does not cast any doubt on the allegation that's setting

1628
01:25:24,800 --> 01:25:29,040
Speaker 1: up people for down the line. Anybody can, as they say,

1629
01:25:29,120 --> 01:25:31,519
Speaker 1: get got by this one. Anybody could be in a

1630
01:25:31,520 --> 01:25:33,200
Speaker 1: whole lot of trouble. There's really no way to how

1631
01:25:33,240 --> 01:25:35,080
Speaker 1: do you defend yourself someone says, oh that one night,

1632
01:25:35,160 --> 01:25:37,840
Speaker 1: you know of the hundreds of times. But anyway, Chadwick,

1633
01:25:37,880 --> 01:25:39,720
Speaker 1: I think we've caused enough trouble for today. My friend,

1634
01:25:39,720 --> 01:25:41,759
Speaker 1: how are you doing out in Brooklyn? You staying safe

1635
01:25:41,800 --> 01:25:45,200
Speaker 1: and staying indoors? I am, you know, yeah, you know,

1636
01:25:45,240 --> 01:25:47,640
Speaker 1: I've worked from homes and not just chains. And you

1637
01:25:47,640 --> 01:25:50,320
Speaker 1: know my house looks great. I've been gardening and anything.

1638
01:25:50,400 --> 01:25:52,800
Speaker 1: And I'll tell you what I've noticed as Brooklyn nights

1639
01:25:52,800 --> 01:25:55,479
Speaker 1: in my neighborhood are not I'm not gonna snitch by

1640
01:25:55,520 --> 01:25:58,439
Speaker 1: any means, but I've noticed they're a little defiance. They're

1641
01:25:58,479 --> 01:26:01,200
Speaker 1: not wearing the masks, They're ye out, They're out and

1642
01:26:01,240 --> 01:26:05,880
Speaker 1: about the big you are people in Manhattan. The big

1643
01:26:05,920 --> 01:26:08,040
Speaker 1: pushback is coming, my friend. We'll have you back on

1644
01:26:08,080 --> 01:26:10,680
Speaker 1: to talk about that and more. Chadwick more everyone. Check

1645
01:26:10,760 --> 01:26:13,080
Speaker 1: him out at the Spectator USA, follow him on the

1646
01:26:13,120 --> 01:26:18,479
Speaker 1: social media chatbock. Thanks so much, you're in the Freedom Hunt.

1647
01:26:18,920 --> 01:26:25,080
Speaker 1: This is the buck Sexton Show podcast. I just want

1648
01:26:25,080 --> 01:26:27,280
Speaker 1: to remind everybody that we have stories going up now

1649
01:26:27,360 --> 01:26:31,200
Speaker 1: daily on buck Sexton dot com. The website is locked

1650
01:26:31,200 --> 01:26:33,200
Speaker 1: in loaded, my friends. This is now a site where

1651
01:26:33,200 --> 01:26:35,880
Speaker 1: I want you getting a lot of information, not just

1652
01:26:36,160 --> 01:26:39,400
Speaker 1: from the radio show. It'll be posting audio and you

1653
01:26:39,400 --> 01:26:42,280
Speaker 1: can listen to the podcast there, but also we're we're

1654
01:26:42,400 --> 01:26:46,040
Speaker 1: using this now as a news resource. We're updating it constantly.

1655
01:26:46,520 --> 01:26:48,600
Speaker 1: It's taken us a while to finally staff up to

1656
01:26:48,600 --> 01:26:50,320
Speaker 1: get to the point where we really have the website

1657
01:26:50,360 --> 01:26:52,720
Speaker 1: where we need it to be for it to be

1658
01:26:52,760 --> 01:26:54,960
Speaker 1: honestly worthy of the of the rest of the freedom Hunt.

1659
01:26:54,960 --> 01:26:57,760
Speaker 1: We're there now. Buck Sexton dot com. Add it to

1660
01:26:57,920 --> 01:27:00,760
Speaker 1: your Add it to your bookmark website. Please check in

1661
01:27:00,800 --> 01:27:03,320
Speaker 1: there regularly. You'll see Also if you're not on Twitter,

1662
01:27:03,320 --> 01:27:05,880
Speaker 1: this is great. My tweet game is very strong. You know,

1663
01:27:05,920 --> 01:27:08,479
Speaker 1: I talk about Twitter sometimes on the show. You'll see

1664
01:27:08,600 --> 01:27:11,280
Speaker 1: my tweets popping up there on bucksex and dot com.

1665
01:27:11,280 --> 01:27:13,000
Speaker 1: Producer Mark am I leaving anything else off from the

1666
01:27:13,000 --> 01:27:16,559
Speaker 1: website that makes it amazing. It's just more bucks sex

1667
01:27:16,600 --> 01:27:19,320
Speaker 1: than content. And what isn't amazing about that? Buck correct

1668
01:27:19,400 --> 01:27:21,920
Speaker 1: just just lots of content. We'll even have show transcripts.

1669
01:27:21,920 --> 01:27:25,360
Speaker 1: Sometimes we'll put up their stories. You can listen to

1670
01:27:25,439 --> 01:27:27,960
Speaker 1: podcast there so anytime. By the way, if you miss

1671
01:27:28,040 --> 01:27:30,400
Speaker 1: the show and you're not somebody listens to podcasts, just

1672
01:27:30,479 --> 01:27:33,760
Speaker 1: go to bucksxon dot com and you can you can

1673
01:27:33,800 --> 01:27:36,960
Speaker 1: easily just listen on demand at the site there. It's

1674
01:27:37,120 --> 01:27:41,439
Speaker 1: very very straightforward. So I really want the team to

1675
01:27:41,520 --> 01:27:44,560
Speaker 1: now get in the habit of going to the website

1676
01:27:44,560 --> 01:27:48,200
Speaker 1: on a regular basis. UM. It's it's so useful for

1677
01:27:48,200 --> 01:27:50,960
Speaker 1: communicating with all of you during this whole crisis, and

1678
01:27:51,520 --> 01:27:53,320
Speaker 1: I'm going forward, We're just we're really going to be

1679
01:27:53,400 --> 01:27:55,679
Speaker 1: using it a lot. Um. You know. You can also

1680
01:27:55,720 --> 01:27:59,680
Speaker 1: find your local station, your nearest station that's airing the show. Um,

1681
01:28:00,040 --> 01:28:03,120
Speaker 1: and you can listen on demand very easily. Just go

1682
01:28:03,160 --> 01:28:05,400
Speaker 1: to listen and then click on podcast and it is

1683
01:28:05,920 --> 01:28:11,200
Speaker 1: it is right there. Okay, Now, my friends, let's oh

1684
01:28:11,320 --> 01:28:15,120
Speaker 1: Don Lemon had some thoughts play sixteen. Does a president

1685
01:28:15,200 --> 01:28:17,840
Speaker 1: not understand that him coming out there every day and

1686
01:28:17,880 --> 01:28:21,360
Speaker 1: acting like a jerk is not going to help him

1687
01:28:21,360 --> 01:28:24,040
Speaker 1: with the American people. The American people are tired of it.

1688
01:28:24,520 --> 01:28:27,280
Speaker 1: It shows in the polling, and people are watching every

1689
01:28:27,400 --> 01:28:31,320
Speaker 1: day because they want information about saving lives. They want

1690
01:28:31,320 --> 01:28:33,120
Speaker 1: to know where they are when they can actually go

1691
01:28:33,160 --> 01:28:35,439
Speaker 1: back to work, and not about what a great job

1692
01:28:35,520 --> 01:28:39,400
Speaker 1: he's doing. When everyone knows there's not enough testing, people

1693
01:28:39,560 --> 01:28:41,240
Speaker 1: don't want to go back to work if there's not

1694
01:28:41,360 --> 01:28:43,679
Speaker 1: enough testing. People are reticined to go back to work

1695
01:28:43,760 --> 01:28:47,240
Speaker 1: if there aren't tests if they don't know, if they

1696
01:28:47,280 --> 01:28:50,479
Speaker 1: have antibodies, if that's actually going to protect them from

1697
01:28:50,520 --> 01:28:54,120
Speaker 1: getting this virus. Is there a disconnect in the White

1698
01:28:54,120 --> 01:28:57,479
Speaker 1: House with this president? Does anybody talk to him about that?

1699
01:28:58,160 --> 01:29:00,799
Speaker 1: Does anyone have the courage to stand up to this person,

1700
01:29:01,000 --> 01:29:03,080
Speaker 1: to this bully as we see him in this briefing

1701
01:29:03,160 --> 01:29:07,280
Speaker 1: room every day, to give him a real talk and say, hey, listen,

1702
01:29:07,520 --> 01:29:09,000
Speaker 1: you need to get out there and tell the American

1703
01:29:09,040 --> 01:29:13,000
Speaker 1: people the truth and stop acting like a big bully. Now.

1704
01:29:13,000 --> 01:29:14,599
Speaker 1: I know that was really stupid, right, but I made

1705
01:29:14,600 --> 01:29:17,280
Speaker 1: you listen to it because just remember, folks, CNN claims

1706
01:29:17,320 --> 01:29:21,200
Speaker 1: that that individual is not an opinion commentator, but that

1707
01:29:21,280 --> 01:29:26,559
Speaker 1: Don Lemon is a journalist, a news anchor, journalist. Thanks

1708
01:29:26,560 --> 01:29:30,440
Speaker 1: for listening to the Bust Show podcast. Remember to subscribe

1709
01:29:30,479 --> 01:29:33,960
Speaker 1: on Apple podcasts, the iHeartRadio app, or wherever you get

1710
01:29:34,000 --> 01:29:38,720
Speaker 1: your podcasts. Roll Call and today at the Roll Call,

1711
01:29:38,760 --> 01:29:41,280
Speaker 1: I say go to Bucksexton dot com and we should

1712
01:29:41,320 --> 01:29:44,519
Speaker 1: also put producer Mark. Let's make a note. Let's make

1713
01:29:44,520 --> 01:29:47,680
Speaker 1: it so that people can send us comments at bucksexton

1714
01:29:48,080 --> 01:29:50,559
Speaker 1: dot com. Somehow can we put up like a comment

1715
01:29:50,640 --> 01:29:53,680
Speaker 1: board or something, you know, the technological things all right,

1716
01:29:53,760 --> 01:29:56,639
Speaker 1: We'll reach out to our website people because we now

1717
01:29:56,680 --> 01:29:59,960
Speaker 1: have website people. Yeah, so, yes, we have a team.

1718
01:30:00,120 --> 01:30:02,040
Speaker 1: We're all working together on this. So so we're gonna

1719
01:30:02,040 --> 01:30:04,040
Speaker 1: try to set up so you can also maybe we

1720
01:30:04,120 --> 01:30:06,680
Speaker 1: even set up some kind of a you know, a

1721
01:30:06,680 --> 01:30:09,599
Speaker 1: comment boarded people they can they can post comments. There

1722
01:30:09,800 --> 01:30:11,320
Speaker 1: may be great to have one place for all of

1723
01:30:11,360 --> 01:30:13,599
Speaker 1: Team Buck to be able to converse with each other.

1724
01:30:14,479 --> 01:30:17,240
Speaker 1: And yeah, there we go. So let's let's keep it.

1725
01:30:17,320 --> 01:30:19,599
Speaker 1: Let's keep it going, folks. That's the plan. That's how

1726
01:30:19,600 --> 01:30:21,880
Speaker 1: we roll. That is what we are going for here.

1727
01:30:22,760 --> 01:30:24,719
Speaker 1: It is for twenty today. But I don't think anyone's

1728
01:30:24,720 --> 01:30:26,559
Speaker 1: gonna be making a lot of weed jokes. No one's

1729
01:30:26,560 --> 01:30:29,200
Speaker 1: really feeling that right now. Although I bet, I bet

1730
01:30:29,280 --> 01:30:33,160
Speaker 1: weed sales in places where it's quasi legal. Remember it's

1731
01:30:33,200 --> 01:30:35,000
Speaker 1: never legal in the federal sense, but it's legal in

1732
01:30:35,000 --> 01:30:39,679
Speaker 1: the states sense. I bet weed sales have gone very high,

1733
01:30:40,000 --> 01:30:44,720
Speaker 1: very high in this whole process, unintended. See what I

1734
01:30:44,720 --> 01:30:47,400
Speaker 1: did there, I don't even mean to, but the jokes

1735
01:30:47,439 --> 01:30:51,960
Speaker 1: they still happen. Roll call let's do it, hey, Buck,

1736
01:30:52,200 --> 01:30:54,800
Speaker 1: this is don I'm one of the essential workers that

1737
01:30:54,880 --> 01:30:58,760
Speaker 1: rarely gets to mention delivering grub Hub and door Dash

1738
01:30:58,800 --> 01:31:01,959
Speaker 1: out here and right now. But I'm a displaced islander

1739
01:31:02,600 --> 01:31:04,799
Speaker 1: escape New York in nineteen ninety nine do the shooting

1740
01:31:04,800 --> 01:31:07,400
Speaker 1: on the Long Island Railroad and the First Trade Center bombing.

1741
01:31:07,880 --> 01:31:09,840
Speaker 1: I'm almost in the age danger zone for this, but

1742
01:31:09,840 --> 01:31:11,559
Speaker 1: I wanted to get out and help the restaurants stay

1743
01:31:11,560 --> 01:31:13,559
Speaker 1: alive out here. I felt it was my mission to

1744
01:31:13,560 --> 01:31:15,200
Speaker 1: help out keep up the good work and shield time.

1745
01:31:15,200 --> 01:31:18,479
Speaker 1: I Man love the show. Well, don thank you for

1746
01:31:18,520 --> 01:31:20,439
Speaker 1: doing what you're doing. Man, you are you're helping. You're

1747
01:31:20,479 --> 01:31:22,680
Speaker 1: providing a lifeline to these restaurants and the people who

1748
01:31:22,680 --> 01:31:25,160
Speaker 1: work in them, and also people in the community. You know.

1749
01:31:25,200 --> 01:31:27,880
Speaker 1: The only thing right now that it allows me to

1750
01:31:27,880 --> 01:31:31,360
Speaker 1: have really have human contact in my day to day

1751
01:31:31,439 --> 01:31:35,640
Speaker 1: other than getting to get to get some chat with

1752
01:31:35,680 --> 01:31:38,720
Speaker 1: producer Mark going here is I see somebody. Actually I

1753
01:31:38,720 --> 01:31:40,680
Speaker 1: don't even really see them anymore. That's true that they

1754
01:31:40,680 --> 01:31:43,040
Speaker 1: do that they drop it at the door. So but

1755
01:31:43,200 --> 01:31:47,000
Speaker 1: at least it's a nice little surprise like oh Thai food. Yeah,

1756
01:31:47,240 --> 01:31:49,400
Speaker 1: you know, it's it's look, we all meet our little things,

1757
01:31:49,439 --> 01:31:52,800
Speaker 1: our a little moment of things are not normal. But

1758
01:31:52,880 --> 01:31:54,920
Speaker 1: at least they're still ways you can have something to

1759
01:31:54,920 --> 01:31:56,479
Speaker 1: look forward to day in and day out. So don

1760
01:31:56,520 --> 01:31:58,680
Speaker 1: thank you for doing what you're doing and out there

1761
01:31:58,680 --> 01:32:03,360
Speaker 1: in Colorado. Huh hm, Freedom ninety three seven in Denver.

1762
01:32:04,000 --> 01:32:05,840
Speaker 1: We love you, guys. Thank you for continuing to listen

1763
01:32:05,840 --> 01:32:10,000
Speaker 1: to the show. Mike write saying, hey, bucking producer Mark.

1764
01:32:10,080 --> 01:32:12,720
Speaker 1: I work in a large Fort Worth hospital. It is

1765
01:32:12,760 --> 01:32:16,280
Speaker 1: a ghost town right now. We have almost nine hundred

1766
01:32:16,320 --> 01:32:20,560
Speaker 1: beds and currently have about four hundred patients. Our emergency

1767
01:32:20,600 --> 01:32:23,160
Speaker 1: department normally has one hundred and fifty at any one time.

1768
01:32:23,640 --> 01:32:26,280
Speaker 1: Now usually has about twenty to twenty five at any

1769
01:32:26,360 --> 01:32:30,160
Speaker 1: given time, down sixty five percent in patient volume with

1770
01:32:30,360 --> 01:32:33,040
Speaker 1: nearly four thousand employees. I don't see how this hospital

1771
01:32:33,080 --> 01:32:34,800
Speaker 1: is going to make it without the Feds paying for

1772
01:32:34,880 --> 01:32:38,200
Speaker 1: the service that they shut down. Mike, thank you for

1773
01:32:38,280 --> 01:32:40,639
Speaker 1: reaching out. I've been talking about this. I'm gonna continue

1774
01:32:40,640 --> 01:32:43,479
Speaker 1: to follow it. The federal government is forcing hospitals in

1775
01:32:43,479 --> 01:32:46,919
Speaker 1: the name of in the name of expanding and protecting

1776
01:32:46,920 --> 01:32:52,640
Speaker 1: our healthcare capacity, the federal government is forcing some hospitals

1777
01:32:52,680 --> 01:32:54,880
Speaker 1: to go bankrupt. That's what's gonna happen here. That's why

1778
01:32:54,880 --> 01:32:56,680
Speaker 1: they're they're gonna need to have a huge bailout for

1779
01:32:56,680 --> 01:33:00,280
Speaker 1: the hospitals. Everyone's gonna be asking for bailouts. There's no business.

1780
01:33:01,320 --> 01:33:03,960
Speaker 1: Hospitals are furloughing employees all over the place. They have

1781
01:33:04,000 --> 01:33:08,240
Speaker 1: no money coming in. And most hospitals don't have a

1782
01:33:08,320 --> 01:33:10,479
Speaker 1: huge COVID problem. Vast majority of them don't have a

1783
01:33:10,520 --> 01:33:13,920
Speaker 1: huge COVID problem. So what are we doing? This is

1784
01:33:13,920 --> 01:33:16,479
Speaker 1: the world we're living in right now. Government says we do,

1785
01:33:16,640 --> 01:33:21,120
Speaker 1: We don't question Greg. Greetings, Buck, thanks so much for

1786
01:33:21,160 --> 01:33:23,640
Speaker 1: having Devin Newness on the show yesterday. I was so

1787
01:33:23,720 --> 01:33:27,599
Speaker 1: relieved to hear the pressure continue to run the Russia scam.

1788
01:33:28,479 --> 01:33:30,920
Speaker 1: That the pressure continues to run the Russia scam to ground.

1789
01:33:31,640 --> 01:33:34,120
Speaker 1: I'm hopeful this effort will eventually to prison time for

1790
01:33:34,240 --> 01:33:37,160
Speaker 1: deserving miscrey and such as Brennan, Clapper and Hillary. I

1791
01:33:37,200 --> 01:33:40,240
Speaker 1: would also like to see the investigation expanded. How many

1792
01:33:40,280 --> 01:33:42,640
Speaker 1: years ago did Shift learn the Russia hoax was just

1793
01:33:42,680 --> 01:33:46,720
Speaker 1: a Hillary dream? Yet he pursued character assassination, slander, and

1794
01:33:46,840 --> 01:33:50,800
Speaker 1: impeachment under false pretenses with his claims that the Shift

1795
01:33:50,800 --> 01:33:55,439
Speaker 1: fabricated phone call content demonstrated a continuing pattern of Trump's

1796
01:33:55,439 --> 01:33:58,880
Speaker 1: seeking alliances with other countries to interfere in US elections.

1797
01:33:58,880 --> 01:34:00,760
Speaker 1: Thanks for all the great research and guests. Pass my

1798
01:34:00,840 --> 01:34:04,599
Speaker 1: regards to Lulah and Producer Mark. She'll tie well. Producer

1799
01:34:04,600 --> 01:34:06,240
Speaker 1: Mark will certainly get it to Lula. Right now is

1800
01:34:06,240 --> 01:34:08,360
Speaker 1: passed out on the couch in the sunlight. That's her

1801
01:34:08,360 --> 01:34:11,160
Speaker 1: favorite thing. She has a good setup. I gotta say,

1802
01:34:11,600 --> 01:34:15,080
Speaker 1: you know, it's uh. She rejected. I made her two

1803
01:34:15,120 --> 01:34:17,640
Speaker 1: different I cooked for her two different meals over the

1804
01:34:17,680 --> 01:34:20,040
Speaker 1: weekend for her dog food, because we don't give her

1805
01:34:20,040 --> 01:34:22,240
Speaker 1: dog food. We give her like human food that's men

1806
01:34:22,320 --> 01:34:24,439
Speaker 1: for dogs, so not men for dogs, but that dogs

1807
01:34:24,439 --> 01:34:26,960
Speaker 1: can eat, you know, chicken and ground beef and things

1808
01:34:26,960 --> 01:34:29,439
Speaker 1: like that. She rejected two bowls. Producer Mark. I had

1809
01:34:29,479 --> 01:34:31,200
Speaker 1: to make her a third meal before she would actually

1810
01:34:31,240 --> 01:34:33,639
Speaker 1: eat it. She she swats the bowl away with her

1811
01:34:33,640 --> 01:34:36,719
Speaker 1: nose when she it's like, get this out of my face, peasant,

1812
01:34:36,920 --> 01:34:39,640
Speaker 1: bring me real food. Now. What do you do with

1813
01:34:39,680 --> 01:34:44,120
Speaker 1: the food that she doesn't eat? Well, Usually she's kind

1814
01:34:44,120 --> 01:34:45,360
Speaker 1: of like licked it and sniffed it and it's a

1815
01:34:45,400 --> 01:34:48,160
Speaker 1: little gross, so we kind of toss it. Okay, that's

1816
01:34:48,160 --> 01:34:50,679
Speaker 1: where I was hoping. Oh okay. I was like, dude,

1817
01:34:50,720 --> 01:34:53,200
Speaker 1: I mean, are you trying to be wasteful or anything,

1818
01:34:53,240 --> 01:34:55,000
Speaker 1: But usually if the dog is already sniffed it and

1819
01:34:55,000 --> 01:34:56,800
Speaker 1: licked at it and everything else. And also yes, I

1820
01:34:56,880 --> 01:34:58,920
Speaker 1: mix in, I do have dry food for the dog

1821
01:34:59,400 --> 01:35:01,240
Speaker 1: that does not smell particularly good that you put in

1822
01:35:01,280 --> 01:35:04,040
Speaker 1: with the chicken and stuff. So like I'm not eating

1823
01:35:04,040 --> 01:35:06,120
Speaker 1: that stuff. Well, then I understand why she wouldn't want

1824
01:35:06,120 --> 01:35:09,439
Speaker 1: to eat it that stuff scross. Yeah, yeah, that's true.

1825
01:35:09,560 --> 01:35:15,320
Speaker 1: So she's very she's very snooty or snouty perhaps, as

1826
01:35:15,360 --> 01:35:19,040
Speaker 1: the case may be, Adam Buck. Here in Michigan, we're

1827
01:35:19,080 --> 01:35:22,920
Speaker 1: seeing the beginnings of we will not comply. Seeing lots

1828
01:35:22,920 --> 01:35:25,000
Speaker 1: of fights on social media. Have been involved in a few.

1829
01:35:25,040 --> 01:35:27,400
Speaker 1: As you say, the argument always evolves into you want

1830
01:35:27,400 --> 01:35:31,599
Speaker 1: to kill Grandma, keep up the swoop and shields eye, yeah, Adam.

1831
01:35:31,600 --> 01:35:33,760
Speaker 1: And people are dug in out to their trenches on this.

1832
01:35:33,840 --> 01:35:35,519
Speaker 1: They don't want to look at facts and logic. They

1833
01:35:35,600 --> 01:35:37,080
Speaker 1: just want to they want to be right, and they

1834
01:35:37,080 --> 01:35:38,880
Speaker 1: want other people to do what they tell them to do,

1835
01:35:39,760 --> 01:35:41,519
Speaker 1: which is a you know, I think there's a really

1836
01:35:41,560 --> 01:35:46,639
Speaker 1: deep philosophical separation between those of us who want want

1837
01:35:46,680 --> 01:35:49,040
Speaker 1: personal freedom and want others to have the same and

1838
01:35:49,120 --> 01:35:52,679
Speaker 1: those who for whom freedom is a constant threat. Individual

1839
01:35:52,680 --> 01:35:55,920
Speaker 1: freedom is a constant threat to their perception of a

1840
01:35:56,000 --> 01:35:58,519
Speaker 1: good and ordered society, and they really think that the smarter,

1841
01:35:58,640 --> 01:36:00,680
Speaker 1: better people should be telling the other people what to

1842
01:36:00,720 --> 01:36:02,680
Speaker 1: do all the time. They're known as liberals, which is

1843
01:36:02,720 --> 01:36:05,280
Speaker 1: a bad name for them because they oppose liberty but

1844
01:36:05,400 --> 01:36:09,880
Speaker 1: the left. But it's more than just the designation as

1845
01:36:09,960 --> 01:36:12,240
Speaker 1: political left. It's really a mindset. I think this is

1846
01:36:12,280 --> 01:36:16,360
Speaker 1: a deep, deep separation in the brain between those who

1847
01:36:17,000 --> 01:36:19,200
Speaker 1: think that human beings should be able to pursue their

1848
01:36:19,200 --> 01:36:21,960
Speaker 1: own destiny and you know, within some limits. Obviously, I'm

1849
01:36:21,960 --> 01:36:23,920
Speaker 1: not I'm not an anarchist who's saying that we should

1850
01:36:23,920 --> 01:36:25,960
Speaker 1: have no government and nothing, but that we should have

1851
01:36:26,040 --> 01:36:28,240
Speaker 1: day to day choices and freedom, and the other people

1852
01:36:28,240 --> 01:36:33,240
Speaker 1: out there who think that anyone's real freedom is a

1853
01:36:33,960 --> 01:36:39,479
Speaker 1: threat to their sense of order and safety and safety

1854
01:36:39,560 --> 01:36:42,599
Speaker 1: not just meaning physical safety, but their emotional safety, their

1855
01:36:42,640 --> 01:36:47,000
Speaker 1: psychological safety. This is, like I've told you the line

1856
01:36:47,040 --> 01:36:50,599
Speaker 1: about a Puritan is someone who worries that someone somewhere

1857
01:36:50,680 --> 01:36:53,439
Speaker 1: might actually be having a good time. In America today,

1858
01:36:53,560 --> 01:36:58,439
Speaker 1: a liberal is a person who someone somewhere is very

1859
01:36:58,520 --> 01:37:01,840
Speaker 1: concerned that someone might actually be living a free and

1860
01:37:01,960 --> 01:37:06,559
Speaker 1: prosperous life without being told what to do all the time. Also,

1861
01:37:06,760 --> 01:37:07,880
Speaker 1: I mentioned this at the top of the show. I

1862
01:37:07,880 --> 01:37:09,400
Speaker 1: wanted to get to get back to it. If you're

1863
01:37:09,400 --> 01:37:12,840
Speaker 1: looking for books to read, a Homage to Catalonia is

1864
01:37:13,600 --> 01:37:18,280
Speaker 1: Orwell's third best work in my opinion, or most perhaps

1865
01:37:18,360 --> 01:37:20,680
Speaker 1: most powerful work. It's act. You could argue, I mean

1866
01:37:20,720 --> 01:37:24,120
Speaker 1: it's better. Well, no, Animal Farm is amazing for what

1867
01:37:24,160 --> 01:37:25,639
Speaker 1: it is. I was gonna say, you can maybe argue

1868
01:37:25,680 --> 01:37:30,120
Speaker 1: in nineteen eighty four is the best, but Homage Homage

1869
01:37:30,120 --> 01:37:34,559
Speaker 1: to Catalonia is nonfiction. It's about George Orwell's time. By

1870
01:37:34,600 --> 01:37:37,000
Speaker 1: the way, you asked me for book recommendations. If you

1871
01:37:37,040 --> 01:37:40,679
Speaker 1: have not read nineteen eighty four, Animal Farm, and Homage

1872
01:37:40,720 --> 01:37:45,200
Speaker 1: to Catalonia one, two, all three, those should be top

1873
01:37:45,240 --> 01:37:48,559
Speaker 1: of your read pile right now. To everybody listening, if

1874
01:37:48,600 --> 01:37:51,360
Speaker 1: you have not read those books, please read at least

1875
01:37:51,439 --> 01:37:54,320
Speaker 1: one while we're all in lockdown. The first one, I

1876
01:37:54,320 --> 01:37:57,160
Speaker 1: would say as nineteen eighty four for the adults, maybe

1877
01:37:57,160 --> 01:37:59,360
Speaker 1: then how Mage to Catalonia, and then maybe Animal Farm.

1878
01:37:59,400 --> 01:38:01,360
Speaker 1: But you should read all of them and they won't

1879
01:38:01,400 --> 01:38:03,320
Speaker 1: take you long. Those are books you should all read.

1880
01:38:03,800 --> 01:38:07,439
Speaker 1: And but I just noted this, that Orwell. This was

1881
01:38:07,520 --> 01:38:09,799
Speaker 1: making the rounds on social media the weekend that Orwell

1882
01:38:09,840 --> 01:38:14,880
Speaker 1: had this quote because he hated journalists, because journalists are

1883
01:38:14,960 --> 01:38:19,799
Speaker 1: generally very often very bad and self interested in gross people. Quote,

1884
01:38:19,800 --> 01:38:21,559
Speaker 1: it was the first time I had seen a person

1885
01:38:21,680 --> 01:38:25,559
Speaker 1: this is referring, I think, to communist communist agit prop

1886
01:38:25,760 --> 01:38:28,600
Speaker 1: inside of the Spanish Civil War. Oh that's what how

1887
01:38:28,680 --> 01:38:30,800
Speaker 1: much the Catalonian is about? Is that Orwell was fighting

1888
01:38:30,840 --> 01:38:34,599
Speaker 1: on the side of the Well, fighting on the side

1889
01:38:34,600 --> 01:38:37,439
Speaker 1: of the communist against the fascists in the Spanish Civil War,

1890
01:38:38,240 --> 01:38:39,760
Speaker 1: And he said it was the first time that I

1891
01:38:39,800 --> 01:38:42,360
Speaker 1: had seen a person whose profession was telling lies. Unless

1892
01:38:42,400 --> 01:38:46,120
Speaker 1: one counts the journalists, I do not suppose I should

1893
01:38:46,120 --> 01:38:49,080
Speaker 1: exaggerate if I said that nine tenths of it is untruthful.

1894
01:38:49,520 --> 01:38:52,439
Speaker 1: Nearly all the newspaper accounts published at the time were

1895
01:38:52,439 --> 01:38:55,200
Speaker 1: manufactured by journalists at a distance, and we're not only

1896
01:38:55,240 --> 01:39:04,120
Speaker 1: inaccurate in their facts but intentionally misleading. So yeah, journalists,

1897
01:39:04,400 --> 01:39:09,360
Speaker 1: bad bad, not I do not have a good record

1898
01:39:09,360 --> 01:39:11,680
Speaker 1: for truth telling. Just look up Walter Duranti if you

1899
01:39:11,680 --> 01:39:13,559
Speaker 1: want to know how much you know they're really there,

1900
01:39:13,560 --> 01:39:17,280
Speaker 1: really elite journos. What what kind of ethics they often display?

1901
01:39:18,040 --> 01:39:20,439
Speaker 1: So we're we're in roll call. I'm sorry I got

1902
01:39:20,479 --> 01:39:23,960
Speaker 1: a little distracted. Um, but as for the swoop, the

1903
01:39:24,000 --> 01:39:25,639
Speaker 1: swoop is out of control. I don't know. I might

1904
01:39:25,640 --> 01:39:27,760
Speaker 1: have to go. The producer Mark has a has a

1905
01:39:27,800 --> 01:39:29,760
Speaker 1: buzz cut, and I might be heading. I might be

1906
01:39:29,800 --> 01:39:33,120
Speaker 1: following in his footsteps. Yeah, my wife just cut my hair. Like,

1907
01:39:33,160 --> 01:39:35,960
Speaker 1: I'm pretty much balled right now. There we go. Hey,

1908
01:39:36,080 --> 01:39:37,080
Speaker 1: how long did it take you when you get to

1909
01:39:37,160 --> 01:39:39,080
Speaker 1: the shower to dry that dry that bad boy? Like

1910
01:39:39,320 --> 01:39:41,920
Speaker 1: half a second? Yeah, that's where I thought. You need

1911
01:39:41,960 --> 01:39:45,360
Speaker 1: a blow dryer and all those tools, don't you. Oh yeah,

1912
01:39:45,400 --> 01:39:49,800
Speaker 1: all the king's horses and all the king's men. You're in.

1913
01:39:51,120 --> 01:39:57,679
Speaker 1: This is the Buck Sexton Show podcast. I will say

1914
01:39:57,720 --> 01:40:00,360
Speaker 1: I did cook a lot over the weekend, and we're

1915
01:40:00,680 --> 01:40:05,679
Speaker 1: now going to uh, we'll start referring to my special

1916
01:40:05,840 --> 01:40:10,040
Speaker 1: the executive chef of all things Buck and Quarantine is

1917
01:40:10,439 --> 01:40:14,200
Speaker 1: my girlfriend, current lady lady friend, who we can refer

1918
01:40:14,280 --> 01:40:17,120
Speaker 1: to now and code name as snow Princess because that

1919
01:40:17,200 --> 01:40:18,720
Speaker 1: is in fact what I call her. Because she's from

1920
01:40:18,720 --> 01:40:22,000
Speaker 1: a very snowy, very cold part of the country and

1921
01:40:22,120 --> 01:40:27,400
Speaker 1: snow Princess and I made amazing food this weekend and

1922
01:40:27,479 --> 01:40:30,800
Speaker 1: we made so I'm always in charge of the red

1923
01:40:30,800 --> 01:40:33,240
Speaker 1: meat and the and the protein. At least I shouldn't

1924
01:40:33,240 --> 01:40:34,920
Speaker 1: say always in charge, but that's my favorite thing to

1925
01:40:34,960 --> 01:40:37,080
Speaker 1: be She's gonna yell me for saying that. I'm just kidding, honey,

1926
01:40:37,320 --> 01:40:39,080
Speaker 1: but that's my favorite thing to be in charge of.

1927
01:40:39,920 --> 01:40:42,400
Speaker 1: She's in charge of all the fancy. I mean, she

1928
01:40:42,520 --> 01:40:45,280
Speaker 1: made chocolate chip cookies from scratch, the best choco hip

1929
01:40:45,320 --> 01:40:48,320
Speaker 1: cookies I've ever had. She made burnette sauce for the burgers.

1930
01:40:48,840 --> 01:40:51,800
Speaker 1: She made risotto with shrimp. I mean I helped a

1931
01:40:51,840 --> 01:40:53,800
Speaker 1: little bit chopping some onions, but she made risotto with

1932
01:40:53,840 --> 01:40:56,519
Speaker 1: shrimp and calamari. And I'm just gonna say this. Producer Mark,

1933
01:40:56,920 --> 01:40:59,360
Speaker 1: I posted some photos of this for Team Buck to see,

1934
01:40:59,680 --> 01:41:02,800
Speaker 1: and the food was all delicious. A lot of Team

1935
01:41:02,800 --> 01:41:05,400
Speaker 1: Buck talking smack about calamari. Where do you fall on

1936
01:41:05,400 --> 01:41:09,840
Speaker 1: the scale about liking it? Yes, so a funny story

1937
01:41:09,840 --> 01:41:12,000
Speaker 1: about calamari When I was a child. You know those

1938
01:41:12,040 --> 01:41:13,960
Speaker 1: buffets in New York City where you just get like

1939
01:41:14,000 --> 01:41:16,479
Speaker 1: a container, you put a bunch in and then your

1940
01:41:16,479 --> 01:41:19,240
Speaker 1: way if you pay that much money. I got a

1941
01:41:19,240 --> 01:41:21,040
Speaker 1: bunch when I was a child and thought it was

1942
01:41:21,080 --> 01:41:24,040
Speaker 1: onion rings. So then I eat it and I was disgusted.

1943
01:41:24,840 --> 01:41:27,639
Speaker 1: But then later on in life I try calamari. It's

1944
01:41:27,680 --> 01:41:31,120
Speaker 1: not bad. It's not bad on calamari, like it's not something.

1945
01:41:31,200 --> 01:41:34,200
Speaker 1: If it's made, well, fine, I will eat it. I

1946
01:41:34,280 --> 01:41:36,880
Speaker 1: like it. If it's made portally, you know that you're

1947
01:41:36,920 --> 01:41:39,559
Speaker 1: eating octopus. I'm just gonna I'm just gonna call out

1948
01:41:39,600 --> 01:41:42,120
Speaker 1: team Buck right now. A lot of calamari haters out

1949
01:41:42,120 --> 01:41:44,639
Speaker 1: there in this audience across the country. I was surprised

1950
01:41:44,640 --> 01:41:48,320
Speaker 1: to see all that shrimp. They're cool. What they're cool? Shrimp, calamari,

1951
01:41:48,400 --> 01:41:50,960
Speaker 1: no dice, unaccepted. There are some people I know that

1952
01:41:51,040 --> 01:41:53,040
Speaker 1: if it was in the water, they don't want it.

1953
01:41:53,040 --> 01:41:56,280
Speaker 1: It's disgusting to them. Really Yeah, well that to me,

1954
01:41:56,320 --> 01:41:59,519
Speaker 1: I've never come across that. That's that's crazy. What is

1955
01:41:59,560 --> 01:42:03,160
Speaker 1: by the way, with with the kosher, it's just no shellfish,

1956
01:42:03,240 --> 01:42:06,080
Speaker 1: right yeah, no other fish okay, but no shellfish yet

1957
01:42:06,080 --> 01:42:08,240
Speaker 1: that's what I thought. I do not keep kosher. I

1958
01:42:08,280 --> 01:42:12,640
Speaker 1: love shrimp, yeah, shrimp plot I mean, shellfish is my

1959
01:42:12,680 --> 01:42:17,040
Speaker 1: favorite of the fish. So I'm one of those, Andy,

1960
01:42:17,280 --> 01:42:18,760
Speaker 1: but I like to share it because I don't want

1961
01:42:18,760 --> 01:42:22,920
Speaker 1: to be shellfish. Oh yeah, I deserve that. Hey, I

1962
01:42:23,040 --> 01:42:25,200
Speaker 1: was a load for the for the well, actually I

1963
01:42:25,200 --> 01:42:28,040
Speaker 1: wasn't alone this week. Let's let's a lie. Uh. I

1964
01:42:28,080 --> 01:42:31,400
Speaker 1: was gonna say, I have no I have no I

1965
01:42:31,520 --> 01:42:35,400
Speaker 1: have no justification for that bad joke, Andy, Hey buck,

1966
01:42:35,479 --> 01:42:39,360
Speaker 1: I have an opinion on meats. There we go, perfect timing.

1967
01:42:39,640 --> 01:42:41,479
Speaker 1: You always talk about the best steaks, but I think

1968
01:42:41,600 --> 01:42:44,000
Speaker 1: lamb chops are where it's really at. They're like tiny

1969
01:42:44,040 --> 01:42:47,880
Speaker 1: tea bones, but twice the meaty succulents. Also, mustache with

1970
01:42:47,960 --> 01:42:50,680
Speaker 1: no beard is definitely a bad call. Unless you can

1971
01:42:50,760 --> 01:42:55,719
Speaker 1: grow a huge, bushy, old timey mustache, She'll tie from Ohio. Well,

1972
01:42:55,800 --> 01:42:57,680
Speaker 1: I can tell you Andy, that is very unlikely. I

1973
01:42:57,720 --> 01:43:03,360
Speaker 1: can grow a bushy, old timey mustash. And as for lamb,

1974
01:43:03,840 --> 01:43:07,880
Speaker 1: I love lambchops. I love lampshops. I'm I don't know.

1975
01:43:07,920 --> 01:43:10,320
Speaker 1: I've actually never made them for myself. I feel like

1976
01:43:10,760 --> 01:43:13,720
Speaker 1: there's always some frenching or something you have to do.

1977
01:43:13,720 --> 01:43:15,800
Speaker 1: You have to like cut the fat off, and I

1978
01:43:15,840 --> 01:43:18,599
Speaker 1: guess the butcher can do that for you. But where

1979
01:43:18,600 --> 01:43:21,240
Speaker 1: are you on Lamb chops producer Mark? I love Lamb chops,

1980
01:43:21,280 --> 01:43:23,280
Speaker 1: but like you, I've never made them myself. But I

1981
01:43:23,320 --> 01:43:27,000
Speaker 1: love Greek cuisine. So I did make veal shop recently

1982
01:43:27,040 --> 01:43:29,680
Speaker 1: for the Snow Princess and myself, and it was phenomenal.

1983
01:43:29,880 --> 01:43:31,519
Speaker 1: I did do that. But you're gonna get some people

1984
01:43:31,520 --> 01:43:37,040
Speaker 1: not liking that. Buck. Oh, I didn't mean veal. I'man

1985
01:43:37,520 --> 01:43:44,320
Speaker 1: adult cow because don't eat veal. My bad. Just yeah,

1986
01:43:44,439 --> 01:43:49,120
Speaker 1: let's move on, shall we. Virginia, your Biden impersonation is

1987
01:43:49,160 --> 01:43:52,439
Speaker 1: the funniest thing I've heard in days. Thank you for

1988
01:43:52,600 --> 01:43:56,160
Speaker 1: the laugh. Wait, I just wait. First of all, hold

1989
01:43:56,160 --> 01:43:58,240
Speaker 1: on a second. Why No, I'm not gonna get into

1990
01:43:58,240 --> 01:44:00,240
Speaker 1: the Veal versus Lamb debate. I'm gonna get going to

1991
01:44:00,240 --> 01:44:03,160
Speaker 1: get lit up on social media. Virginia. I'm glad that

1992
01:44:03,280 --> 01:44:06,160
Speaker 1: you I'm glad that you enjoy the buying impersonation. Thank

1993
01:44:06,200 --> 01:44:07,760
Speaker 1: you so much. I don't even know what I did

1994
01:44:07,760 --> 01:44:09,280
Speaker 1: to do it, but I just sort of got stuck

1995
01:44:09,320 --> 01:44:14,360
Speaker 1: in my head. And you're sure of her World War

1996
01:44:14,439 --> 01:44:17,360
Speaker 1: two and the boom, you know, he just starts talking

1997
01:44:17,400 --> 01:44:23,240
Speaker 1: about stuff. We'll come together and we'll make it into Yeah,

1998
01:44:23,479 --> 01:44:26,559
Speaker 1: David writes in good interview with Jack Carr, I just

1999
01:44:26,640 --> 01:44:29,280
Speaker 1: saw that he has Ray Porter doing the audio versions

2000
01:44:29,320 --> 01:44:32,560
Speaker 1: of his books. That's a fantastic choice because Ray is

2001
01:44:32,600 --> 01:44:34,760
Speaker 1: one of the elite in the business, one of my favorites.

2002
01:44:34,880 --> 01:44:37,120
Speaker 1: Now to download all three books. Hey, that's great, man.

2003
01:44:37,160 --> 01:44:39,320
Speaker 1: I told Jack Carr, I'm reading right now. I mean

2004
01:44:39,320 --> 01:44:42,599
Speaker 1: I'm reading slowly, but I'm reading Savage Son. And Jack's

2005
01:44:42,640 --> 01:44:46,240
Speaker 1: a great guy, really strong reputation. For everyone I've talked

2006
01:44:46,240 --> 01:44:49,720
Speaker 1: to in the media, military commune, media, military community. I

2007
01:44:49,800 --> 01:44:52,320
Speaker 1: think he's a great dude, and he's the real deal

2008
01:44:52,479 --> 01:44:54,680
Speaker 1: and such a nice guy. And like so many of

2009
01:44:54,720 --> 01:44:57,960
Speaker 1: the true operators that I have known, and even some

2010
01:44:58,120 --> 01:45:00,759
Speaker 1: that I was able to work alongside as a little civilian,

2011
01:45:01,040 --> 01:45:06,360
Speaker 1: you know, analyst person. UM, very humble about all that stuff.

2012
01:45:07,200 --> 01:45:10,760
Speaker 1: Whenever whenever I've come across for you know, with with

2013
01:45:11,120 --> 01:45:13,000
Speaker 1: very few I can't even think of an exception. I'm

2014
01:45:13,040 --> 01:45:16,400
Speaker 1: sure there are exceptions, but all the Rangers and Delta

2015
01:45:16,479 --> 01:45:19,439
Speaker 1: and Seals and pjs that I've come across who have

2016
01:45:19,479 --> 01:45:24,000
Speaker 1: been in real combat, um, they're not They're not rocking around,

2017
01:45:24,000 --> 01:45:26,439
Speaker 1: flexing all the time. I just that's just that's been

2018
01:45:26,479 --> 01:45:32,160
Speaker 1: my experience. They're they're professionals who are silent about their exploits,

2019
01:45:32,200 --> 01:45:33,960
Speaker 1: not I shouldn't say silent about it, but who are

2020
01:45:34,680 --> 01:45:39,080
Speaker 1: humble about their exploits. There we go Stephen. Um. Oh wait, no,

2021
01:45:39,160 --> 01:45:42,519
Speaker 1: hold on, Diane. First, we got to hold Stephen for tomorrow. Remember, everyone,

2022
01:45:42,560 --> 01:45:44,320
Speaker 1: go to bucksex and dot com. Check out the website.

2023
01:45:44,360 --> 01:45:45,760
Speaker 1: I've got a story there on the New York City

2024
01:45:45,800 --> 01:45:47,760
Speaker 1: subway situation that I will I want you to read.

2025
01:45:48,280 --> 01:45:51,240
Speaker 1: Diane Buck, what's up with Nancy Pelosi's disconnection with the

2026
01:45:51,240 --> 01:45:54,120
Speaker 1: needs of the people currently under duress? She has this

2027
01:45:54,280 --> 01:45:57,160
Speaker 1: let them meet kake, apparently with gourmet ice cream attitude.

2028
01:45:57,520 --> 01:45:59,400
Speaker 1: My guess is she didn't do well in European history

2029
01:45:59,439 --> 01:46:02,040
Speaker 1: to know that approach did not serve public figures well

2030
01:46:02,120 --> 01:46:06,559
Speaker 1: in the past. Shields High and Diane, Nancy Pelosi is

2031
01:46:06,960 --> 01:46:12,160
Speaker 1: a smug elite lib and that's never gonna change. And

2032
01:46:12,240 --> 01:46:15,280
Speaker 1: she doesn't care how disconnected from people's pain she is.

2033
01:46:15,320 --> 01:46:18,000
Speaker 1: She's just about Nancy Pelosi and the left wing cause.

2034
01:46:18,160 --> 01:46:20,800
Speaker 1: So and look, I don't I don't hate an art

2035
01:46:20,840 --> 01:46:22,720
Speaker 1: as an ice cream. I like fancy ice cream and

2036
01:46:22,760 --> 01:46:25,240
Speaker 1: I admit it. Okay, I like I like all ice

2037
01:46:25,280 --> 01:46:29,000
Speaker 1: cream too much, job of the buck, but fancy ice

2038
01:46:29,000 --> 01:46:32,559
Speaker 1: cream I'm good with. But I'm also in tune with

2039
01:46:32,560 --> 01:46:35,640
Speaker 1: how people have real challenges. All right, everybody, thank you

2040
01:46:35,680 --> 01:46:38,200
Speaker 1: so much for being here. Fantastic to have the team

2041
01:46:38,200 --> 01:46:40,160
Speaker 1: with me. We're getting through this team. You noticing that

2042
01:46:40,200 --> 01:46:41,960
Speaker 1: we're gonna get through this together. We're getting through it.

2043
01:46:42,000 --> 01:46:43,320
Speaker 1: We'll be there, we'll be on the other side of

2044
01:46:43,320 --> 01:46:45,640
Speaker 1: this before you know it. Until then, Shields Hi