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Speaker 1: You are entering the freedom hunt America. Let's open up.

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Speaker 1: Plus Wisconsin cops will put you on the naughty list.

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Speaker 1: The plot against General Flynn is Biden ever going to

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Speaker 1: personally speak out on these sexual assault claims against him.

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Speaker 1: We've hit thirty million unemployment claims and should exercise outdoors

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Speaker 1: include a mask bucks Sexton mission decoding the news and

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Speaker 1: disseminating information with actionable intelligence. Make no mistake American great,

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Speaker 1: You're a great American again. This is the Buck Sexton Show.

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Speaker 1: Puma Cia analysts. I can speak to three hours without

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Speaker 1: a phone call. Try doing that sometime. No, this came

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Speaker 1: from us mind. We never know. We had the greatest

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Speaker 1: economy ever in the world and the history of the world.

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Speaker 1: We had the best economy. I say it openly. Nobody

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Speaker 1: even challenges it, and they would if they thought it

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Speaker 1: was wrong. We had the best economy ever and we're

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Speaker 1: gonna have it again. Welcome to the Buck sex and show.

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Speaker 1: Everybody there. You have the President talking about what was

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Speaker 1: and what he says will be again. We will get

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Speaker 1: to that place where we have a rock and economy.

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Speaker 1: Things going very well for business, for individuals. Some optimism,

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Speaker 1: we need optimism. These days. It's grinding us down, isn't it.

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Speaker 1: It's getting a little tough out there on these lockdowns.

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Speaker 1: It's a question that we're going to keep revisiting. When

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Speaker 1: are we going to reopen? How fast can we reopen?

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Speaker 1: And was all of this really worth? It? Was all

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Speaker 1: of this something that we should have put ourselves through,

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Speaker 1: And if so, I want to see the data, because

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Speaker 1: so far over the data that I'm seeing suggest that

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Speaker 1: it was not. Now, look, there's some tough new information.

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Speaker 1: There's some tough new data, specifically about jobs. You've got

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Speaker 1: an additional three point eight million more people sought jobless benefits,

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Speaker 1: and I'll talk to you a bit about that. We've

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Speaker 1: also got some bombshell stuff last night that I wanted

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Speaker 1: to begin with today, where General Flynn, I mean, the

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Speaker 1: move against General Flynn is beyond any reasonable doubt, something

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Speaker 1: that you could refer to now as a deep state

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Speaker 1: ambush of the Trump administration National Security advisor that used

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Speaker 1: the worst kinds of behind the scenes FBI abuse of

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Speaker 1: the system of their discretion, that relied on dishonorable, disreputable

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Speaker 1: tactics from people that are partisans. And now this new

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Speaker 1: information is just confirming what many of us have thought

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Speaker 1: all along, and I think that's really important for us here.

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Speaker 1: I think we need to take stock on this issue

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Speaker 1: of General Flynn of who was right, who was wrong,

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Speaker 1: and why did they get it so wrong. Those who

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Speaker 1: have been skeptical of the case against General Flynn from

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Speaker 1: day one and been calling it an evil politically motivated

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Speaker 1: injustice were right. Meanwhile, the multi billion dollar media apparatus

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Speaker 1: that defamed and tried to ruin Flynn out of partisan spite,

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Speaker 1: we're wrong. Never forget that, Never forget that. Those of

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Speaker 1: you who have been listening to me talk about General

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Speaker 1: Flynn for the last three years, about his case, about

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Speaker 1: what was done to him, I've been right at every stage. CNN,

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Speaker 1: The New York Times, MSNBC, the New York Post, and

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Speaker 1: all the assorted liberal outlets out there. They were wrong.

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Speaker 1: They've been lying to their audiences, They've been misrepresenting what happened.

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Speaker 1: They've been putting stupid analysts on TV and running their columns,

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Speaker 1: running their analysis in various platforms. That now is just

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Speaker 1: completely indefensible. I mean, it was always wrong, but at

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Speaker 1: this point they should be offering up apologies and that

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Speaker 1: will not that will not happen. The unbelievable corruption and

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Speaker 1: underhanded partisan tactics that the FBI and DJ engaged in

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Speaker 1: against Flynn and Trump's campaign, it should be noted happened

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Speaker 1: on Obama's watch and our ultimately Obama's responsibility. Libs can

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Speaker 1: try to obfuscate this all day, but it's a fact

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Speaker 1: it was Obama's team on his watch taking this action

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Speaker 1: against the presidential transition. What a bunch of petty, spiteful,

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Speaker 1: insidious garbage. This was your team loses, and so you

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Speaker 1: make sure that the team that gets to take the

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Speaker 1: field is not able to have the full benefit of

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Speaker 1: their victory. You do this on the way out the door. Disgusting,

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Speaker 1: Absolutely disgusting, And there's no way at this point, there's

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Speaker 1: no way for anyone to explain this as an act

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Speaker 1: of a mistake or as as good faith gone awry. No,

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Speaker 1: we see, and I will, I will take you through

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Speaker 1: the latest information here on this. We see what really happened.

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Speaker 1: The Justice Department has had to turn over documents. And

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Speaker 1: this is all because Sidney Powell, this this lawyer who

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Speaker 1: has taken up General Flynn's cause. She saw what she

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Speaker 1: saw what happened here, and She's like, I'm not allowing this,

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Speaker 1: you know. Flynn and originally went to Covington and Burling.

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Speaker 1: That was the firm that he went to represent him.

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Speaker 1: And it's funny, actually used to live like across the

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Speaker 1: street from their office, and he did this thinking that

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Speaker 1: they were going to represent his best interest. Now it

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Speaker 1: looks like they had a massive conflict of interest and

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Speaker 1: they were not acting on his behalf in ways that

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Speaker 1: they should have. Here's the quick review of what happened here.

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Speaker 1: General Flynn, the National Security Advisor, former DA director, and

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Speaker 1: thirty plus year military veteran. He had a couple of

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Speaker 1: FBI guys sent to talk to him after there was

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Speaker 1: a news story about a conversation that he had. Someone

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Speaker 1: leaked a conversation that he had with the ambassador. The

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Speaker 1: criminal league by the way, and this person whoever league,

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Speaker 1: they should go to prison. They should sit in a cell.

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Speaker 1: They should go to prison for this. You're not allowed

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Speaker 1: to do this, not going to play games with secret

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Speaker 1: information in this way, someone in the government betrayed their

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Speaker 1: oath and broke the law. They should go to prison.

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Speaker 1: It's not General Flynn. So this league happened to ignacious

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Speaker 1: The Washington post, and then the FBI guys decided that

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Speaker 1: they were because you know, initially Flynn was denying, and look,

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Speaker 1: maybe Flynn kind of forgot what he said to the

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Speaker 1: you know, he didn't have the transcript of the conversation,

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Speaker 1: but he said no, you know, he denied it. And

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Speaker 1: then they figured that they were going to go and

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Speaker 1: get him. That was some of you will recall from

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Speaker 1: from Ghostbusters when they see the first ghost in the

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Speaker 1: New York Public Library, and you know, they go, stay close,

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Speaker 1: stay close, get her, and that's their whole plan, you know,

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Speaker 1: And afterwards Bill Murray's kind of laughing, that was your

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Speaker 1: whole plan, get her, get Flynn was the plan. That

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Speaker 1: was all this was. There was no reason, there was

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Speaker 1: no real crime, there was no investigation. And we remember

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Speaker 1: from James Coomey that they were taking advantage of an

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Speaker 1: administration in change in flux. You know, the transition is underway,

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Speaker 1: and they were taking advantage of that for partisan purposes.

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Speaker 1: So you have a new presidential team coming in with

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Speaker 1: obviously tremendous responsibility, a lot of authority, a lot of power,

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Speaker 1: representing the interest of the American people. Duly elected in

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Speaker 1: twenty sixteen, despite all the whining and crying from Libs.

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Speaker 1: Who should cry more? Cry more, Libs? Please? You know

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Speaker 1: you're gonna be Oh, man, I certainly the party that

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Speaker 1: I'm gonna throw. I don't care if it's a party

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Speaker 1: for one, but the party that I'm going to have

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Speaker 1: if Trump wins reelection this fall, Man, we are going

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Speaker 1: to go. We are going to go jet skiing in

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Speaker 1: a lake of liberal tiers if Trump wins, and I

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Speaker 1: still think there's a very good chance he will. But anyway,

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Speaker 1: I don't want to get ahead of myself. So they

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Speaker 1: send in, They send in these two FBI agents, and

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Speaker 1: now we have notes about the thought processes, thought processes

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Speaker 1: around this. Here's what Fox News breaks it down. Handwritten

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Speaker 1: notes by the FBI's former head of counterintelligence, Bill Prestapp

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Speaker 1: after a meeting with then FBI Director James Comey and

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Speaker 1: then FBI Director Andrew McCabe, suggested the agents planned to

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Speaker 1: get Flynn to admit to breaking the Logan Act in

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Speaker 1: the alternative when he spoke to then Russian Ambassador Sergei

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Speaker 1: Kiseljak during the presidential transition period. What is our goal,

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Speaker 1: one of the notes read truth admission or get him

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Speaker 1: to lie so we can prosecute him or get him

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Speaker 1: fired if we get him to admit to breaking the

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Speaker 1: Logan Act. Give facts a DOJ and have them decide.

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Speaker 1: Another note read Constitutional law professor Jonathan Turley called the

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Speaker 1: documents implications chilling folks. This is exactly what I have

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Speaker 1: been telling you all along. They did here. They created

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Speaker 1: a completely absurd pretext, an absurd pretext to bring a

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Speaker 1: ridiculous charge or to create a ridiculous criminal predicate that

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Speaker 1: no one really thinks this is a crime. This is

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Speaker 1: kafka ask I mean, this is Soviet style abuse of

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Speaker 1: the law by pretending that there's nothing in the law

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Speaker 1: that has to make any sense whatsoever, by misinterpreting it

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Speaker 1: and misapplying it for political purposes. This is a disgrace.

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Speaker 1: James Comey should be in prison. Andrew McCabe should be

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Speaker 1: in prison. McCabe should definitely be in prison for lying

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Speaker 1: under oath that they just gave him a pass on

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Speaker 1: this because they didn't want to hurt morale inside these institutions.

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Speaker 1: Let me tell you something, the FBI is not gonna

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Speaker 1: be able to live this down for a long time.

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Speaker 1: Anytime there's a political political edge to an investigation that's

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Speaker 1: going on with the DGEN the FBI. Now, people are

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Speaker 1: rightly going to ask a whole lot of questions. Is

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Speaker 1: this on the up and up? Is this a bunch

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Speaker 1: of deep state libs taking out their aggression on somebody

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Speaker 1: that they don't like politically. That's what Peter Struck did,

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Speaker 1: That's what Lisa Page did. And Comey and McCabe they

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Speaker 1: were every bit as bad as we said. They were

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Speaker 1: every bit. And if you're wondering what was Comey's role

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Speaker 1: in the Comy thinks he's a hero for this. I

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Speaker 1: mean he is truly a sociopath. I mean, Comy's got

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Speaker 1: real problems. This guy's a loon. He was the FBI director, folks.

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Speaker 1: He was a US attorney sending people to prison for

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Speaker 1: a long time, making the determinations about who gets charged

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Speaker 1: and who doesn't. This guy is a sanctimonious, self righteous loon.

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Speaker 1: And he was at the very top of the United

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Speaker 1: States law enforcement apparatus after the Attorney General, arguably the

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Speaker 1: most powerful law enforcement figure in the country. And we

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Speaker 1: think this is okay, of course not. But he's gonna

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Speaker 1: he's gonna skate. He's got a seven figure book deal

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Speaker 1: and he's gone around giving speeches and here's what he

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Speaker 1: said about his role in all of this play seventeen.

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Speaker 1: I sent them something we I probably wouldn't have done

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Speaker 1: or maybe gotten away with in a more organized investigation

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Speaker 1: and more organized administration in the George W. Bush administration,

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Speaker 1: for example, or the Obama administration. The protocol two men

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Speaker 1: that all of us have perhaps increased appreciation for over

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Speaker 1: the last two years. And in both of those administrations,

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Speaker 1: there was process. And so if the FBI wanted to

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Speaker 1: send agents into the White House itself to interview a

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Speaker 1: senior official, you would work through the White House Council

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Speaker 1: and they be discussions and approvals and who would be there.

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Speaker 1: And I thought it's early enough, let's just send a

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Speaker 1: couple of guys over. And so we placed a call

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Speaker 1: to Flynn, said, Hey, we're sending a couple of guys over.

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Speaker 1: I hope you'll talk to them. He said, sure. Nobody

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Speaker 1: else was there. They interviewed him in a conference room

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Speaker 1: at the White House Situation Room, and he lied to them.

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Speaker 1: And that's what he's now played guilty too. It's pleaded guilty,

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Speaker 1: which you would think the FBI director would know the

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Speaker 1: proper terminology and beyond that, he used, he exploited the

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Speaker 1: disarray and the frenzied nature of a presidential transition for

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Speaker 1: a political hit. That's what this was. It was a

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Speaker 1: political hit. And notice you look, Look, the FBI has

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Speaker 1: got big problems here, folks. This is not going to

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Speaker 1: just go away. Current FBI Director Chris Ray doesn't look

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Speaker 1: like he is willing to wash the dirty laundry properly

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Speaker 1: within his own institution. You know, the CIA rightfully got

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Speaker 1: pounded pounded in the public's eye for nine to eleven

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Speaker 1: and then for the Iraq WMD debacle. Okay, my old

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Speaker 1: agency got absolutely crushed in the in the public's mind

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Speaker 1: for those two. Now, the CIA, I mean the nine

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Speaker 1: to eleventh thing was intelligence community wide, so that was

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Speaker 1: more diffuse anger, but it was certainly a failure at

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Speaker 1: the CIA was actually really in a lot of ways

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Speaker 1: a bigger failure at the FBI. But conversation for another time.

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Speaker 1: And then the Iroq WMD thing, which really was blamed

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Speaker 1: on Bush. But the CIA should have done better, that's

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Speaker 1: just the truth. Now we have the FBI, which is

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Speaker 1: much more concerning to us than the CIA, because CI

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Speaker 1: doesn't have law enforcement powers here. CIA can't show up,

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Speaker 1: take you out of the shower in front of your

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Speaker 1: family at gunpoint and lock you in a cell. CI

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Speaker 1: actually can't do that in this country. They won't do

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Speaker 1: that in this country. FBI can just ask Roger Stone.

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Speaker 1: They'll send thirty guys with long guns and tack gear

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Speaker 1: on while you're having tea with your wife and your

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Speaker 1: silk pajamas watching reruns of The Price Is Right, and

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Speaker 1: they'll make sure that they come at five o'clock in

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Speaker 1: the morning and that CNN is there. Oh yeah, because

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Speaker 1: they got lucky. Remember that whole thing. CNN is a

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Speaker 1: bunch of liars. These people have lost it, my friends.

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Speaker 1: They can't go back and reclaim their honor because they

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Speaker 1: don't have any and they don't care. We'll get into

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Speaker 1: the media angle of this in a second. But this

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Speaker 1: is the deep state. This is real. We have proof,

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Speaker 1: We've had a proof for a long time. But this

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Speaker 1: is even more. This is smoking gun the Logan Act.

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Speaker 1: You're going to have a conversation with the incoming National

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Speaker 1: Security Advisor about the Logan Act. The guys allowed to

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Speaker 1: talk to people. First of all, the Logan Act is unconstitutional.

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Speaker 1: Start with that. How could you even apply this. It's

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Speaker 1: unconstitutionally vague and unconstitutionally broad, and no one ever charges it.

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Speaker 1: So that's why it hasn't gotten overturned. But they decided

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Speaker 1: they were going to just try to dust this one off.

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Speaker 1: You show me the man, I'll show you the crime.

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Speaker 1: That was Laventi barrier of the Soviet secret police. That's

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Speaker 1: what they're doing here. That's the approach. And now there's

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Speaker 1: no question about it. Flynn should not only be pardoned.

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Speaker 1: People that were a part of this should be run

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Speaker 1: out of the public square and should serve prison time.

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Speaker 1: And you don't hear me, So I'm not somebody says, oh,

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Speaker 1: people should go to jail for this or that, you know,

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Speaker 1: some of the Benghazi stuff, for example, from the Obama administration,

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Speaker 1: that was in competence. It was indifference, it was stupidity.

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Speaker 1: But you're not. You can't send people to jail for

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Speaker 1: being morons. There are else a lot more politicians would

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Speaker 1: be in jail this though. This is malice, this is

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Speaker 1: abuse of power, This is ruining lives. There needs to

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Speaker 1: be justice for this. We cannot allow this to stand.

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Speaker 1: They went after one of the top White House officials

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Speaker 1: of an incoming administration to settle a pro Hillary vendetta.

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Speaker 1: That's what this was. And also because all these people

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Speaker 1: in DC that have been working there for decades and

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Speaker 1: have reached the highest levels of the bureaucracy, they think

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Speaker 1: they're so much more clever and important than they are.

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Speaker 1: And let me tell you, they're overwhelmingly, deeply unimpressive. The

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Speaker 1: people who work there to day in these places, some

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Speaker 1: of them are fantastic. Some of them are bumps on

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Speaker 1: a log, they're workless, but some of them are fantastic.

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Speaker 1: I've known both the people that rise to the top, though,

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Speaker 1: especially in a Democrat administration. Remember Obama pointed Toomey, the

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Speaker 1: people that rise to the top bureaucracy is like this

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Speaker 1: in Komi McCabe. They're just all pretending and they hope

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Speaker 1: that people don't find out that they're really just frauds.

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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. I mentioned before. The media's role in

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Speaker 1: all this, as they were celebrating the destruction of General Flynn,

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Speaker 1: after all the time that he had served his country,

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Speaker 1: after all the good that he had done for this nation.

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Speaker 1: I just want to remind everyone that whether it's General Flynn,

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Speaker 1: Justice Kavanaugh. Nicholas Sandman of the Commington High School. Liberal

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Speaker 1: journals are willing to set these people up with lies

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Speaker 1: and then pounce on them like hyenas, with no regard

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Speaker 1: for the lives and families that they ruin. And do

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Speaker 1: you ever see the journals apologize? Do you ever see

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Speaker 1: these journalists who run with these stories and then put

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Speaker 1: analysts on to amplify the stories by felling in what

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Speaker 1: they don't have facts on so far, even if the

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Speaker 1: facts are initially wrong with their own supposition. Do you

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Speaker 1: ever see the journals go on TV and say we

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Speaker 1: were wrong about this one. General Flynn was set up.

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Speaker 1: I'm sorry, America. Do you ever see that? No, you don't.

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Speaker 1: And yet do you ever see on the other side

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Speaker 1: people that are destroyed by conservatives and then it turns

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Speaker 1: out they were entirely innocent. No, what names come to mind?

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Speaker 1: Jesse's small att Oh, that's right, he wasn't innocent at all.

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Speaker 1: He's a total fraud. Journalists in America overwhelmingly have neither

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Speaker 1: introspection nor honor. Thanks for listening to The Bus Sesson

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Speaker 1: Show podcasts. Remember to subscribe on Apple podcasts. The iHeartRadio

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Speaker 1: app or wherever you get your podcasts team. You know

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Speaker 1: that I've been warning about the overreach that is inevitable here,

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Speaker 1: that we would go from a period of a perceived consensus.

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Speaker 1: Now that's not the same thing is a real consensus,

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Speaker 1: but people use the term so that they'll say, everyone

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Speaker 1: agrees that we should do this thing that I want

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Speaker 1: to do. There's a consensus, right, They pretend, for example,

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Speaker 1: that they have one on climate change and how we

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Speaker 1: have to tackle the problem of climate change. But there

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Speaker 1: are these there are these these signposts that you can

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Speaker 1: look for, these transition points that will always happen where

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Speaker 1: at first it's there's consensus that the government has to

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Speaker 1: take a certain action, and then it's when the government

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Speaker 1: begins to fail, we're told, well, we had no choice

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Speaker 1: because everyone agreed that we had to do this. And

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Speaker 1: then when you realize, wait, but we did have a choice,

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Speaker 1: they say, shut up, peasant, stay indoors. We have power.

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Speaker 1: Now this is the way it's going to be. That's

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Speaker 1: the natural progression when you're dealing with the state, and

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Speaker 1: when you're dealing with the trajectory of unchecked government power,

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Speaker 1: which is what we've been seeing in this country, when

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Speaker 1: the government can show up and tell you your business

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Speaker 1: shut down no reason other than we say so. Yeah,

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Speaker 1: they can claim that it's for a virus and all

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Speaker 1: this other stuff. Fine, But there are states where there

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Speaker 1: are a few hundred people who died from this, which

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Speaker 1: means there are far more people over the same period

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Speaker 1: of time who have been dying from a whole bunch

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Speaker 1: of ailments and sicknesses out there. We're not shutting down

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Speaker 1: for those. Now. New York is different. I understand the

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Speaker 1: same way that if Louisiana is hit by a hurricane,

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Speaker 1: God forbid, but that's happened the past. Louisiana is a disaster.

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Speaker 1: You've got to do a lot of stuff for Louisiana.

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Speaker 1: You don't do that for Michigan, though, you don't do

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Speaker 1: that for Montana, right, I mean, so, we took this

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Speaker 1: approach of a nationwide lockdown without really thinking this through.

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Speaker 1: And we also recognize that giving once the national consensus

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Speaker 1: again there's that word it creeps in. You started using it.

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Speaker 1: Once the national perception was that we all had to

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Speaker 1: do this, then state governors and law enforcement that respond

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Speaker 1: to state governors, they will do whatever they can to

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Speaker 1: increase their authority in their power, because they at first

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Speaker 1: think that they've got a responsibility, and then the frustration

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Speaker 1: sets in that they're not they're not changing things the

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Speaker 1: way that they might have thought, and so they want

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Speaker 1: more power, they want more responsibility. I gotta tell you

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Speaker 1: this is just a side note, but I I was

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Speaker 1: walking a little Telou the frenchie, who is quite adorable,

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Speaker 1: and I liked we like to wrap her up. I

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Speaker 1: like to wrap her up these days like a little burrito,

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Speaker 1: and I call it a Toledo because she's like a

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Speaker 1: Tolou burrito. I know this is what happens when you

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Speaker 1: spend like twenty four hours a day with a dog

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Speaker 1: and it's really your only companion. So anyway, but I

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Speaker 1: was walking her outside your face mask on, of course,

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Speaker 1: just kidding. I don't wear a face mask when I

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Speaker 1: walk the dog. That's stupid. But as someone came, I

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Speaker 1: saw someone was double parked and they had their hazards on.

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Speaker 1: And keep in mind, there's very few cars on the street,

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Speaker 1: and there's no traffic to speak of. There's very few

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Speaker 1: people on the street. Producer Mark, how long do you

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Speaker 1: think it took the NYPD tow truck to throw that

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Speaker 1: BMW on the back and take it off to the

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Speaker 1: to the the impound half hour, Oh, my friend, three minutes,

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Speaker 1: three minutes the guy, the guy leaves double Park. He's

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Speaker 1: got he's got his hazards on. There's no cars, there's nothing,

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Speaker 1: and roof right, you know, he goes off. I felt

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Speaker 1: so bad, as where is the guy? We gotta get him.

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Speaker 1: We can't let him get his car, Toad. That's one thing.

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Speaker 1: I feel like everybody always has sympathy unless you're being

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Speaker 1: a real jerk and blocking traffic or something. But if

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Speaker 1: you know, when when you leave the car and the

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Speaker 1: fire lane or something and there's no fire and you

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Speaker 1: get that, you get Toad. It was a nice car too.

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Speaker 1: There's a there's a new Beamer. You know. Beamer drivers

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Speaker 1: tend to think they can do whatever they want, so

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Speaker 1: I don't really feel bad for them. But this guy.

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Speaker 1: It was just it was so interesting because, um, when

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Speaker 1: you know, when I used to work for the NYPD,

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Speaker 1: there was a government. The the the example of government

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Speaker 1: efficiency that even the cops and point two is ticket

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Speaker 1: writing in tow trucks. And it's very obvious why that is, right, Well,

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Speaker 1: why is the city so good at writing tickets for

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Speaker 1: traffic violations and you know, for for parking, and why

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Speaker 1: are they so good at at deploying toe trucks. It's

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Speaker 1: just money in the bank. It's just revenue. But you know,

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Speaker 1: even even now when you would think that, you know,

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Speaker 1: maybe if somebody might get a little bit of a

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Speaker 1: break or whatever. Man it was this guy was like

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Speaker 1: a toe truck ninja. I mean, it was just boop

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Speaker 1: boop poop, car in the back and it was gone.

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Speaker 1: I was like, oh, rough, it's rough, but it's money.

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Speaker 1: They want money. I mean, the city is desperate for

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Speaker 1: cash right now. And that's going to be true of

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Speaker 1: a lot of cities in a lot of places. And

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Speaker 1: you're going to start to see, you know, people talking

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Speaker 1: about cutbacks and essential services. That puts additional pressure on

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Speaker 1: cops in law enforcement across the board, and then they

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Speaker 1: feel additionally stressed because they're pulling longer shifts and ot

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Speaker 1: is cut bag. I mean just telling you, I know,

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Speaker 1: this stuff all starts to spiral. It gets bad fast.

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Speaker 1: So while I did have a moment of a moment

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Speaker 1: of just got a feel for the guy who's car,

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Speaker 1: you know, you got to spend like an hour at

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Speaker 1: the impound. Now it's going to cost you about five

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Speaker 1: hundred bucks to get your car back. Oh man, it's rough.

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Speaker 1: It's rough. You also see what's going to happen in

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Speaker 1: these cities, and they're the bureaucracies. They're once their funding

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Speaker 1: gets cut off, the bureaucracies getty pretty aggressive and they

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Speaker 1: start taking going after the citizens with things like well

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Speaker 1: and any way they can drive up Revene anyway. So

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Speaker 1: I've been warning you about how this is going to happen,

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Speaker 1: and you know now that it is happening in different places.

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Speaker 1: Parents are being arrested in playgrounds for taking their children

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Speaker 1: out of open air. Who has the science on their side?

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Speaker 1: The parent who with their kid member, The kids and

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Speaker 1: the parents all live in the same home and they're

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Speaker 1: constantly interacting. So trying I mean social distancing, but among

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Speaker 1: immediate family members is not something that's really happening. I mean,

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Speaker 1: maybe if you're somebody who's at high risk. Kids are

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Speaker 1: at almost no risk, I mean basically zero risk. So

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Speaker 1: maybe if you're social distancing to keep grandma or grandpa safe,

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Speaker 1: you know, that might work. It's very unlikely to be

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Speaker 1: an easy thing to do. Maybe it'll work. But for families,

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Speaker 1: you know, a husband and wife and their young children,

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Speaker 1: there's the science is absolutely on their side, not on

426
00:25:23,119 --> 00:25:25,440
Speaker 1: the side of the cop. Who. I do admit I

427
00:25:25,520 --> 00:25:27,800
Speaker 1: feel bad when cops are being told you got to

428
00:25:27,800 --> 00:25:30,879
Speaker 1: clear the park and that's the city ordinance, you know,

429
00:25:30,920 --> 00:25:33,359
Speaker 1: that's the rule. You know, what are they what are

430
00:25:33,359 --> 00:25:34,960
Speaker 1: they going to do? I mean now, I think that

431
00:25:34,960 --> 00:25:36,520
Speaker 1: they can use discretion. And I know a lot of

432
00:25:36,560 --> 00:25:38,479
Speaker 1: law enforcement listens to the show, and you guys know,

433
00:25:39,080 --> 00:25:42,359
Speaker 1: you know, it always comes down to people, right. I mean,

434
00:25:42,400 --> 00:25:43,920
Speaker 1: you can see this in some of these videos. I'm

435
00:25:43,920 --> 00:25:46,480
Speaker 1: about to play a video that that things. It sends

436
00:25:46,480 --> 00:25:48,000
Speaker 1: a chill up your spine. It's not not a good

437
00:25:48,080 --> 00:25:51,000
Speaker 1: video about a law enforce interaction with people. But I'm

438
00:25:51,119 --> 00:25:53,400
Speaker 1: very sensitive to it. You know, if you're if you're

439
00:25:53,440 --> 00:25:56,720
Speaker 1: being respectful. You know, I gave a I mentioned a

440
00:25:56,760 --> 00:25:58,359
Speaker 1: few weeks ago, maybe a week or two ago, that

441
00:25:58,440 --> 00:26:00,440
Speaker 1: I and a sometimes Secret Service can be a little imperious.

442
00:26:00,480 --> 00:26:03,879
Speaker 1: It's because I had a an interaction with one of

443
00:26:04,000 --> 00:26:06,320
Speaker 1: the with one of the family members, not not for

444
00:26:06,359 --> 00:26:08,479
Speaker 1: Trump himself, but with the Secret Service member. And I

445
00:26:08,560 --> 00:26:10,480
Speaker 1: was completely right and being respectful, and the guy was

446
00:26:10,480 --> 00:26:12,680
Speaker 1: being a jerk. And I know the difference because I've

447
00:26:12,680 --> 00:26:15,840
Speaker 1: been on different sides of that equation. And he was out,

448
00:26:16,000 --> 00:26:17,400
Speaker 1: he was out of line, and maybe he was having

449
00:26:17,400 --> 00:26:19,439
Speaker 1: a bad day. Maybe you know, maybe his wife is

450
00:26:19,720 --> 00:26:21,359
Speaker 1: you know, angried and for something. Who knows right and

451
00:26:21,480 --> 00:26:23,879
Speaker 1: not get that? People are people. When you're dealing with

452
00:26:23,920 --> 00:26:26,439
Speaker 1: law enforcement, and I know all the cops and former

453
00:26:26,440 --> 00:26:29,840
Speaker 1: cops listening to this, no first thing is how how

454
00:26:29,840 --> 00:26:33,400
Speaker 1: are you responding to the law law enforcement request? Are

455
00:26:33,400 --> 00:26:36,280
Speaker 1: you showing that you are being reasonable and cooperative? That's

456
00:26:36,280 --> 00:26:38,600
Speaker 1: always step one. I actually think that they should I

457
00:26:38,600 --> 00:26:40,679
Speaker 1: don't know if they do, I will say that, but

458
00:26:40,720 --> 00:26:43,119
Speaker 1: I think that they should teach this in school. You know,

459
00:26:43,280 --> 00:26:45,560
Speaker 1: I'm going to tell you this right now. I remember

460
00:26:45,600 --> 00:26:48,800
Speaker 1: being when I was a freshman in high school to

461
00:26:48,920 --> 00:26:52,200
Speaker 1: take you know, they took a banana and a prophylactic

462
00:26:52,200 --> 00:26:54,439
Speaker 1: device and they you know, they actually they actually do that,

463
00:26:54,920 --> 00:26:57,800
Speaker 1: like they taught us how to do that, you know,

464
00:26:57,920 --> 00:27:01,000
Speaker 1: in health class. We had a health class, you know,

465
00:27:01,200 --> 00:27:03,640
Speaker 1: And I feel like it would be important for people

466
00:27:03,680 --> 00:27:05,960
Speaker 1: to learn first of all, basic finance and accounting so

467
00:27:06,000 --> 00:27:09,800
Speaker 1: you can manage your own your own economic and financial

468
00:27:09,840 --> 00:27:12,680
Speaker 1: future better. That would have been helpful. But beyond that,

469
00:27:13,040 --> 00:27:14,760
Speaker 1: they should have people. They should do it like a

470
00:27:14,840 --> 00:27:16,600
Speaker 1: role play where you're dealing with cops. I think it's

471
00:27:16,600 --> 00:27:18,760
Speaker 1: a smart thing and all it shows you is just

472
00:27:18,880 --> 00:27:23,040
Speaker 1: be respectful and don't you know, don't antagonize them. Don't

473
00:27:23,080 --> 00:27:25,960
Speaker 1: antagonize them. A lot of people do that and then

474
00:27:26,000 --> 00:27:28,000
Speaker 1: they start doing the wire. You're putting your hands on

475
00:27:28,080 --> 00:27:29,959
Speaker 1: me and you're not allowed to arrest me, and you

476
00:27:30,000 --> 00:27:34,280
Speaker 1: can't do that. Actually they can in that You can

477
00:27:34,320 --> 00:27:37,360
Speaker 1: always adjudicate it later. You can sue, you can bring

478
00:27:37,400 --> 00:27:40,760
Speaker 1: a court action, but in that moment, I'm not getting arrested.

479
00:27:40,800 --> 00:27:44,440
Speaker 1: Today is not an option. So you know, you get

480
00:27:44,440 --> 00:27:47,879
Speaker 1: into this difficult, this tension. That's one side of it.

481
00:27:48,000 --> 00:27:52,080
Speaker 1: The other side of it is cops are people to

482
00:27:52,240 --> 00:27:56,440
Speaker 1: have got a cop of my immediate family? Cops are people, well, yeah,

483
00:27:56,440 --> 00:27:59,359
Speaker 1: I think it is. You know aunt's uncles, those are

484
00:27:59,400 --> 00:28:02,520
Speaker 1: those are considered immediate or no, well in my family, sorry,

485
00:28:02,200 --> 00:28:03,800
Speaker 1: in my family. I don't want you guys to do

486
00:28:03,840 --> 00:28:06,200
Speaker 1: a deep dive and say, wait a second, Buck's dad

487
00:28:06,320 --> 00:28:08,760
Speaker 1: is a cop. No, No, one of my one of

488
00:28:08,760 --> 00:28:13,159
Speaker 1: my one of my uncles is law enforcement. But you

489
00:28:13,200 --> 00:28:17,120
Speaker 1: look at this and you say to yourself, Okay, everyone

490
00:28:17,200 --> 00:28:20,760
Speaker 1: understands that there's some pretty wacky rules out there, some

491
00:28:20,840 --> 00:28:25,520
Speaker 1: pretty bad regulations that are being enforced on US Governor

492
00:28:25,560 --> 00:28:28,159
Speaker 1: Gavin Newsom. This just happened last night. I should have

493
00:28:28,160 --> 00:28:30,600
Speaker 1: mentioned at the top of the show. He is closing

494
00:28:30,640 --> 00:28:34,879
Speaker 1: beaches in California to punish people because too many people

495
00:28:34,880 --> 00:28:40,120
Speaker 1: weren't social distancing enough. Collective punishment is the calling card

496
00:28:40,200 --> 00:28:44,880
Speaker 1: of authoritarianism. I mean, collective punishment is like a baseline

497
00:28:45,440 --> 00:28:50,560
Speaker 1: reality in authoritarian societies. And that's what Governor Newsom's doing. Oh,

498
00:28:50,680 --> 00:28:52,800
Speaker 1: you guys don't social distance enough, I'm gonna take I'm

499
00:28:52,800 --> 00:28:56,920
Speaker 1: gonna take away your beach access. Well, everyone gets their

500
00:28:56,960 --> 00:28:59,440
Speaker 1: beach access taken away because some people aren't. And the

501
00:28:59,480 --> 00:29:01,360
Speaker 1: beach is all one of the safest places you can be.

502
00:29:01,360 --> 00:29:03,840
Speaker 1: It's that's the whole thing. Is so stupid where surround

503
00:29:03,840 --> 00:29:05,800
Speaker 1: with so much stupidity, But it isn't coming up on

504
00:29:05,880 --> 00:29:09,320
Speaker 1: law enforcement to make good decisions about this stuff. And

505
00:29:10,320 --> 00:29:12,440
Speaker 1: they they also you know, so I said before, you

506
00:29:12,480 --> 00:29:14,440
Speaker 1: got to be respectful law enforcement. But there's it's a

507
00:29:14,440 --> 00:29:19,000
Speaker 1: two way street. Law enforcement has to use its discretion appropriately.

508
00:29:19,320 --> 00:29:22,840
Speaker 1: You know, law enforcement has to be willing to uh,

509
00:29:24,680 --> 00:29:26,280
Speaker 1: you know, they've got a lot of authority. They can

510
00:29:26,360 --> 00:29:27,640
Speaker 1: let you go with the warning, or they can just

511
00:29:27,680 --> 00:29:29,920
Speaker 1: say hey, as a head's up, you know, or they

512
00:29:29,920 --> 00:29:32,360
Speaker 1: can make a big thing of it. And everyone knows this, right,

513
00:29:32,760 --> 00:29:34,440
Speaker 1: Sometimes they're going a little too far. This is what

514
00:29:34,520 --> 00:29:39,640
Speaker 1: happened in where this was in Wisconsin, and here's how

515
00:29:39,680 --> 00:29:44,480
Speaker 1: the exchange went. Producer Mark play it. So are you

516
00:29:44,520 --> 00:29:49,720
Speaker 1: aware that we're in a stadth Hoole order right now? Yeah? Obvious? Kay,

517
00:29:49,720 --> 00:29:51,200
Speaker 1: you're aware of that. I am aware. I don't need

518
00:29:51,240 --> 00:29:53,440
Speaker 1: to explain that to you. No, you don't need to

519
00:29:53,440 --> 00:29:58,320
Speaker 1: explain to you. Can you can because your officer was

520
00:29:58,400 --> 00:30:01,080
Speaker 1: just here two weeks ago, could you, And he explained

521
00:30:01,080 --> 00:30:04,880
Speaker 1: it to me that you guys weren't enforcing that order. Okay,

522
00:30:04,960 --> 00:30:07,200
Speaker 1: you understand it though, Okay, So why are you here?

523
00:30:07,280 --> 00:30:09,640
Speaker 1: Because your daughter is going to play at other people's

524
00:30:09,640 --> 00:30:13,160
Speaker 1: home and you're allowing it to happen. They were over

525
00:30:13,280 --> 00:30:17,640
Speaker 1: here as well, So are you here? Okay? So now

526
00:30:17,720 --> 00:30:20,760
Speaker 1: I understand okay, And so either you can acknowledge it

527
00:30:20,840 --> 00:30:23,240
Speaker 1: or you can argue I'm I'm acknowledging it. Okay, stop

528
00:30:23,280 --> 00:30:29,080
Speaker 1: having your kid go by other people's home. Stop having

529
00:30:29,080 --> 00:30:32,520
Speaker 1: your kid go by other people's homes. This woman got

530
00:30:32,600 --> 00:30:36,480
Speaker 1: a got a visit from two sheriff's deputies to tell

531
00:30:36,520 --> 00:30:38,920
Speaker 1: her that her child, who I guess we could assume

532
00:30:38,960 --> 00:30:41,040
Speaker 1: is probably you know, usually if you're arranging played eights

533
00:30:41,520 --> 00:30:44,000
Speaker 1: kids like six or seven or eight or something, a

534
00:30:44,080 --> 00:30:47,200
Speaker 1: young kid going over to play with other kids. No, no,

535
00:30:47,600 --> 00:30:51,880
Speaker 1: stay locked at home. Because they say so. Children are

536
00:30:51,920 --> 00:30:55,719
Speaker 1: at almost zero risk from I mean to say that,

537
00:30:56,000 --> 00:30:58,200
Speaker 1: you can't technically say they're at zero risk. But also,

538
00:30:58,320 --> 00:31:01,200
Speaker 1: you know, you can't say at zero risk for someone

539
00:31:01,800 --> 00:31:04,840
Speaker 1: to drink water because the water could be contaminated. You know,

540
00:31:04,840 --> 00:31:07,320
Speaker 1: the water could have bacteria, could have you know, salmonella

541
00:31:07,320 --> 00:31:09,600
Speaker 1: in it, or a garda or something, and you could die.

542
00:31:10,000 --> 00:31:11,719
Speaker 1: You could die from that glass of water that you're

543
00:31:11,800 --> 00:31:13,840
Speaker 1: drinking right now. I can't I can guarantee you you're

544
00:31:13,880 --> 00:31:16,080
Speaker 1: not going to die from it. That's crazy, though, right.

545
00:31:16,080 --> 00:31:18,280
Speaker 1: We don't think that way. That's not how we approach life.

546
00:31:19,200 --> 00:31:22,760
Speaker 1: We always build into our actions and to our assumptions.

547
00:31:22,760 --> 00:31:24,960
Speaker 1: Some assessment of the real risk. The real risk to

548
00:31:25,040 --> 00:31:28,000
Speaker 1: children from this virus is zero, and the risk of

549
00:31:28,000 --> 00:31:31,800
Speaker 1: transmission increasingly we're seeing from children to adults. I can't

550
00:31:31,800 --> 00:31:34,960
Speaker 1: explain why this is, but we're seeing study after study

551
00:31:35,000 --> 00:31:37,479
Speaker 1: that suggests the risk of transmission from children to adults

552
00:31:37,600 --> 00:31:41,520
Speaker 1: is also very very low. So here you have a

553
00:31:41,640 --> 00:31:44,040
Speaker 1: woman who doesn't want her daughter to not have not

554
00:31:44,120 --> 00:31:46,240
Speaker 1: be able to see any friends. We're going on now

555
00:31:46,360 --> 00:31:48,760
Speaker 1: six weeks. This is going to be week seven of lockdown.

556
00:31:49,320 --> 00:31:52,560
Speaker 1: And you know, kids are out of school, they're locked

557
00:31:52,600 --> 00:31:55,360
Speaker 1: at home all day, they're not developing, they don't have

558
00:31:55,520 --> 00:31:59,680
Speaker 1: the normal growth and the normal mechanisms in place to

559
00:32:00,320 --> 00:32:04,840
Speaker 1: foster a healthy environment for them. And sheriff's deputies are

560
00:32:04,840 --> 00:32:07,600
Speaker 1: showing up and telling her, you know, you're you're gonna

561
00:32:07,600 --> 00:32:09,400
Speaker 1: either you're what exactly. Also, that's the other thing that

562
00:32:09,400 --> 00:32:12,560
Speaker 1: they're gonna arrest her. I mean, like the way to

563
00:32:12,560 --> 00:32:14,160
Speaker 1: do this would have been a sheriff's deputy come knocked

564
00:32:14,160 --> 00:32:16,320
Speaker 1: door and be like, look, you know, we understand this sucks,

565
00:32:16,360 --> 00:32:18,920
Speaker 1: we understand this doesn't really make much sense. But ken

566
00:32:19,000 --> 00:32:21,560
Speaker 1: yet now maybe now, maybe I think there's a suggestion

567
00:32:21,640 --> 00:32:23,720
Speaker 1: that this is her second time. Maybe they did that

568
00:32:23,760 --> 00:32:25,200
Speaker 1: the first time. So I try to be fair, we're

569
00:32:25,240 --> 00:32:30,080
Speaker 1: only seeing slice of this situation. But you know, they assuming,

570
00:32:30,240 --> 00:32:31,800
Speaker 1: you know, if I'm that cop and I'm going over there,

571
00:32:31,800 --> 00:32:34,320
Speaker 1: I'm gonna say, look, this is kind of it's kind

572
00:32:34,320 --> 00:32:38,120
Speaker 1: of crazy, I know, but let's just, uh, let's assume

573
00:32:38,240 --> 00:32:41,040
Speaker 1: going forward that we're gonna be a little more and

574
00:32:41,080 --> 00:32:43,120
Speaker 1: a little more willing to respect this rule. It's as

575
00:32:43,160 --> 00:32:45,360
Speaker 1: dumb as it is. You know, try something like that first.

576
00:32:45,880 --> 00:32:48,000
Speaker 1: But instead, do we have mark with them saying put

577
00:32:48,000 --> 00:32:49,280
Speaker 1: her on the list? Or do I just stry just

578
00:32:49,360 --> 00:32:53,480
Speaker 1: verbalize that one. Okay, Well, they go on in the

579
00:32:53,520 --> 00:32:55,080
Speaker 1: clip and it's fine, you don't need to hear all this,

580
00:32:55,120 --> 00:32:57,200
Speaker 1: but they go on in. The female sheriff's deputy who's

581
00:32:57,200 --> 00:32:59,040
Speaker 1: there is asking her name, and she's like, why do

582
00:32:59,080 --> 00:33:00,760
Speaker 1: I have to the woman who who is the mother

583
00:33:00,880 --> 00:33:03,880
Speaker 1: of this daughter who, heaven forbid when and played with

584
00:33:03,920 --> 00:33:06,200
Speaker 1: some other kids. They're asking her name. She says, why

585
00:33:06,200 --> 00:33:07,400
Speaker 1: don't have to give you my name? And you know,

586
00:33:07,440 --> 00:33:09,600
Speaker 1: this is where you start to get into that cops

587
00:33:09,640 --> 00:33:11,760
Speaker 1: going to escalate. It's getting a little more antagonistic, and

588
00:33:11,760 --> 00:33:13,360
Speaker 1: it says because they want to put her on a list,

589
00:33:14,400 --> 00:33:17,360
Speaker 1: a list of people who are being uncooperative with the

590
00:33:17,480 --> 00:33:20,240
Speaker 1: stupid regulations. This is a dumb regulation. This is this

591
00:33:20,280 --> 00:33:23,720
Speaker 1: does not make sense, that not allowing kids to see

592
00:33:23,720 --> 00:33:26,640
Speaker 1: other kids, it's it's the science doesn't back this up.

593
00:33:26,640 --> 00:33:28,560
Speaker 1: We're told listen to the science. A science does not

594
00:33:28,720 --> 00:33:32,840
Speaker 1: support the Wisconsin state order here that these law enforcement

595
00:33:32,840 --> 00:33:35,960
Speaker 1: officers are being told that they must they must enforce.

596
00:33:37,200 --> 00:33:39,480
Speaker 1: So then you're putting people on list though, and you're

597
00:33:39,520 --> 00:33:42,280
Speaker 1: marking them was uncooperative. Well, what kind of list is this?

598
00:33:42,440 --> 00:33:45,680
Speaker 1: Is it a criminal charge? It is this going into

599
00:33:45,680 --> 00:33:49,560
Speaker 1: some kind of report for what? This is not? This

600
00:33:49,640 --> 00:33:52,240
Speaker 1: is not good. This is not the role of police,

601
00:33:52,280 --> 00:33:54,520
Speaker 1: This is not the role of the state at all.

602
00:33:55,360 --> 00:33:58,960
Speaker 1: It shouldn't be done this way. And I know that

603
00:33:58,960 --> 00:34:01,520
Speaker 1: they are starting to be some challenges to the constitutionality

604
00:34:01,560 --> 00:34:04,400
Speaker 1: of all this, but we shouldn't get to that point

605
00:34:05,400 --> 00:34:09,839
Speaker 1: because stupid policies like not letting kids see other kids

606
00:34:09,920 --> 00:34:12,200
Speaker 1: right now do not have any do not have any

607
00:34:12,239 --> 00:34:15,680
Speaker 1: scientific basis for them. And we have people that don't

608
00:34:15,719 --> 00:34:20,920
Speaker 1: know enough to pass a sixth grade basic science class

609
00:34:22,360 --> 00:34:24,080
Speaker 1: telling us what we can do with our day to

610
00:34:24,160 --> 00:34:27,000
Speaker 1: day lives because of the science. These people are these people,

611
00:34:27,120 --> 00:34:30,560
Speaker 1: the politicians that are making these determinations, they're morons. They

612
00:34:30,600 --> 00:34:33,600
Speaker 1: don't know anything. They're deeply ignorant. I mean, if nothing else,

613
00:34:33,600 --> 00:34:38,080
Speaker 1: this is a reminder of how feckless and worthless most

614
00:34:38,120 --> 00:34:41,960
Speaker 1: of our political class really is. That's what we see

615
00:34:42,000 --> 00:34:44,080
Speaker 1: happening here. But the overreach is just going to get worse.

616
00:34:46,840 --> 00:34:49,680
Speaker 1: You're in the Freedom Hunt. This is the Buck Sex

617
00:34:49,800 --> 00:34:57,520
Speaker 1: and Show podcast. The data shows that ramdesivia has a

618
00:34:57,640 --> 00:35:04,799
Speaker 1: clear cut, significant positive effect in diminishing the time to recovery.

619
00:35:05,239 --> 00:35:08,080
Speaker 1: This is really quite important for a number of reasons,

620
00:35:08,080 --> 00:35:11,239
Speaker 1: and I'll give you the data. It's highly significant. If

621
00:35:11,280 --> 00:35:15,040
Speaker 1: you look at the time to recovery being shorter in

622
00:35:15,080 --> 00:35:18,400
Speaker 1: the remdest of your arm, it was eleven days compared

623
00:35:18,440 --> 00:35:21,560
Speaker 1: to fifteen days. And that's a p value for the

624
00:35:21,640 --> 00:35:25,799
Speaker 1: scientists who are listening of zero point zero zero one.

625
00:35:26,320 --> 00:35:30,839
Speaker 1: So that's something that although a thirty one percent improvement

626
00:35:31,600 --> 00:35:34,880
Speaker 1: doesn't seem like a knockout one hundred percent, it is

627
00:35:34,920 --> 00:35:38,160
Speaker 1: a very important proof of concept because what it is

628
00:35:38,320 --> 00:35:44,239
Speaker 1: proven is that a drug can block this virus. Some

629
00:35:44,360 --> 00:35:46,759
Speaker 1: good news, folks, at a time when we could really

630
00:35:46,840 --> 00:35:49,440
Speaker 1: use it. From des of your is not a silver bullet,

631
00:35:49,480 --> 00:35:52,840
Speaker 1: but it's something and it shows that we can have

632
00:35:52,920 --> 00:35:57,560
Speaker 1: better things soon. Hopefully, but it is good news. Thanks

633
00:35:57,560 --> 00:36:00,840
Speaker 1: for listening to The bus Stson Show podcast. Remember to

634
00:36:00,880 --> 00:36:04,680
Speaker 1: subscribe on Apple podcast, the iHeartRadio app, or wherever you

635
00:36:04,760 --> 00:36:11,040
Speaker 1: get your podcasts. Senator Mitch McConnell, you are bailing out

636
00:36:11,040 --> 00:36:16,560
Speaker 1: in New York when every year you take out more

637
00:36:16,719 --> 00:36:20,400
Speaker 1: from the kitty, the federal pot, thirty seven billion dollars

638
00:36:20,440 --> 00:36:25,640
Speaker 1: more than you put in. Who is bailing out whom?

639
00:36:25,880 --> 00:36:30,600
Speaker 1: Senator to Scott Florida, You're gonna bail us out. You

640
00:36:30,840 --> 00:36:36,560
Speaker 1: take out thirty billion dollars more every year than you

641
00:36:36,719 --> 00:36:42,640
Speaker 1: pay in. How dare they? How dare they win? Those

642
00:36:42,680 --> 00:36:45,319
Speaker 1: are the facts? How long are you going to play

643
00:36:45,320 --> 00:36:49,200
Speaker 1: the American people and assume they're stupid? They are not,

644
00:36:50,600 --> 00:36:54,400
Speaker 1: and they can add and they know facts. And I

645
00:36:54,440 --> 00:36:58,160
Speaker 1: don't care what the news media tries to do to

646
00:36:58,239 --> 00:37:02,600
Speaker 1: distort these facts. They are numbers and they are facts,

647
00:37:03,600 --> 00:37:07,880
Speaker 1: and they can't be distorted. And this is every year.

648
00:37:08,640 --> 00:37:13,560
Speaker 1: So the fight among the states is also a financial one.

649
00:37:13,560 --> 00:37:16,680
Speaker 1: As we see, you have the pressure to reopen red

650
00:37:16,719 --> 00:37:20,120
Speaker 1: states blue states. Blue states are going to move more

651
00:37:20,120 --> 00:37:23,440
Speaker 1: slowly on this. Hopefully the red states like Texas will

652
00:37:23,440 --> 00:37:26,759
Speaker 1: do very well, though Texas is opening is going on.

653
00:37:26,840 --> 00:37:30,879
Speaker 1: Are pretty They're they're moving cautiously. They're not jumping into

654
00:37:30,880 --> 00:37:33,600
Speaker 1: the deep end of the pool here. They're they're moving

655
00:37:33,680 --> 00:37:36,680
Speaker 1: at a relatively slow pace, but they are opening up.

656
00:37:36,880 --> 00:37:39,200
Speaker 1: Twenty five percent of businesses will be able to operate.

657
00:37:40,560 --> 00:37:43,320
Speaker 1: So I hope things are going well, especially down in Austin.

658
00:37:43,560 --> 00:37:46,279
Speaker 1: Are wonderful affiliate their KLBJ Austin. I hope you folks

659
00:37:46,320 --> 00:37:48,759
Speaker 1: are doing all right. I was planning. I've been planning

660
00:37:48,760 --> 00:37:50,239
Speaker 1: for a long time to get to Austin, although I

661
00:37:50,280 --> 00:37:52,799
Speaker 1: think that it's gonna have to wait until I'm allowed

662
00:37:52,840 --> 00:37:56,400
Speaker 1: to fly on planes. But I know Texas is moving

663
00:37:56,440 --> 00:37:59,120
Speaker 1: along and that will hopefully put additional pressure on these

664
00:37:59,120 --> 00:38:02,799
Speaker 1: blue states to it up and running. Two. But there's

665
00:38:02,840 --> 00:38:05,719
Speaker 1: also the financial obligations component of this, and this is

666
00:38:05,760 --> 00:38:08,720
Speaker 1: going to be a very interesting discussion. It should be easy,

667
00:38:08,880 --> 00:38:12,879
Speaker 1: it should be straightforward. A state might be able to

668
00:38:12,920 --> 00:38:15,279
Speaker 1: make the case, I think, especially in New York, State's

669
00:38:15,320 --> 00:38:19,439
Speaker 1: going to make this case that virus specific budget shortfalls

670
00:38:20,000 --> 00:38:23,319
Speaker 1: deserve federal assistance. And that's the same way that if

671
00:38:23,360 --> 00:38:27,759
Speaker 1: a state was decimated by a hurricane or an earthquake,

672
00:38:28,480 --> 00:38:31,040
Speaker 1: there would be federal funding. There would be federal assistance.

673
00:38:31,719 --> 00:38:33,799
Speaker 1: I think that that's that's a fair case to make,

674
00:38:33,840 --> 00:38:36,880
Speaker 1: and there's there's merit in that. The problem comes up

675
00:38:37,960 --> 00:38:40,600
Speaker 1: when all of a sudden people are saying, well, why

676
00:38:40,600 --> 00:38:43,600
Speaker 1: don't we just and we got we're spending trillions, why

677
00:38:43,600 --> 00:38:45,759
Speaker 1: don't we get an extra you know, ten billion here,

678
00:38:45,840 --> 00:38:48,200
Speaker 1: twenty billion there, to take the debt off the state's

679
00:38:48,280 --> 00:38:51,680
Speaker 1: books for stuff that has nothing to do with the

680
00:38:51,719 --> 00:38:56,399
Speaker 1: actual virus shutdown. That's where you get in this fight

681
00:38:56,400 --> 00:38:58,440
Speaker 1: with miss mcconaughs and Miss McConnell had said maybe some

682
00:38:58,480 --> 00:39:03,560
Speaker 1: states should be allowed to go bankrupt. New York State,

683
00:39:03,600 --> 00:39:06,320
Speaker 1: for understand, I think has has a hundred and thirty

684
00:39:06,480 --> 00:39:10,399
Speaker 1: billion dollar debt. It's a lot of money. New York

685
00:39:10,600 --> 00:39:13,440
Speaker 1: is very very deep in the red. There are other

686
00:39:13,520 --> 00:39:16,400
Speaker 1: states Illinois, producer, Mark, would you tell me what the

687
00:39:16,440 --> 00:39:18,120
Speaker 1: Illinois state debt is? I don't want to look at

688
00:39:18,120 --> 00:39:19,360
Speaker 1: it right now. I can't try to look it up

689
00:39:19,360 --> 00:39:20,600
Speaker 1: while we're on air. But let me know what the

690
00:39:20,640 --> 00:39:23,200
Speaker 1: Illinois state debt is. Some of these states have run

691
00:39:23,280 --> 00:39:26,400
Speaker 1: up enormous tabs, and right now there's a very clear

692
00:39:26,520 --> 00:39:30,040
Speaker 1: political incentive for them. While the piggy bank of the

693
00:39:30,080 --> 00:39:33,719
Speaker 1: treasury has been shattered, and everyone's just grabbing, grabbing for

694
00:39:33,760 --> 00:39:36,400
Speaker 1: whatever they can get, and it's gross. There's a lot

695
00:39:36,480 --> 00:39:38,400
Speaker 1: of that's going on. We all know what's happening. But

696
00:39:38,520 --> 00:39:42,400
Speaker 1: while that's going on, these states are seeing this as

697
00:39:42,440 --> 00:39:46,759
Speaker 1: an opportunity themselves to get some of their debts taken away.

698
00:39:46,760 --> 00:39:51,520
Speaker 1: Remember the debts that states are running up are overwhelmingly

699
00:39:52,200 --> 00:39:57,480
Speaker 1: from one thing. Say with me, folks, public sector pensions.

700
00:39:58,400 --> 00:40:01,399
Speaker 1: That's what that's what they huge issue is here when

701
00:40:01,440 --> 00:40:04,640
Speaker 1: you look at some of the some of the contracts

702
00:40:04,680 --> 00:40:07,000
Speaker 1: and remember that you got one party rule at the

703
00:40:07,040 --> 00:40:10,799
Speaker 1: state level in a place like in a place like

704
00:40:10,880 --> 00:40:16,080
Speaker 1: New York, in a place like California. Wow, Illinois had

705
00:40:16,120 --> 00:40:20,719
Speaker 1: to producer mark Illinois two hundred and three billion dollars

706
00:40:21,600 --> 00:40:24,799
Speaker 1: in the red, two hundred three billion dollars debt for

707
00:40:24,880 --> 00:40:30,160
Speaker 1: a state. That's that's remarkable. So that's why we see

708
00:40:30,160 --> 00:40:32,400
Speaker 1: this in states are saying, hey, you know, maybe they

709
00:40:32,400 --> 00:40:34,080
Speaker 1: won't get the whole thing wiped away, but can you

710
00:40:34,120 --> 00:40:35,680
Speaker 1: imagine if you're a state you get to have your

711
00:40:35,719 --> 00:40:39,600
Speaker 1: your public debt cut in half or even cut it

712
00:40:39,640 --> 00:40:43,520
Speaker 1: down by twenty or thirty percent. Oh, what a windfall

713
00:40:43,760 --> 00:40:47,800
Speaker 1: that would be for public sector unions, which are the

714
00:40:48,160 --> 00:40:51,680
Speaker 1: ones that are the most egregious. I don't know, and

715
00:40:51,680 --> 00:40:53,200
Speaker 1: again people get mad at me for this one, but

716
00:40:53,239 --> 00:40:56,000
Speaker 1: the most egregious public sector union with this stuff is

717
00:40:56,000 --> 00:40:59,600
Speaker 1: the teachers union. It's the teachers unions and the EDGE

718
00:40:59,640 --> 00:41:02,239
Speaker 1: and the edge ucation departments for these different states. That's

719
00:41:02,239 --> 00:41:05,560
Speaker 1: where a huge portion of this budget shortfall comes from

720
00:41:05,680 --> 00:41:08,000
Speaker 1: yearning year AT's why property taxes keep going up in

721
00:41:08,040 --> 00:41:10,960
Speaker 1: these places. That's why the state taxes are as high

722
00:41:11,000 --> 00:41:15,440
Speaker 1: as they are. And there's there's an unholy alliance between

723
00:41:15,680 --> 00:41:19,200
Speaker 1: the Democrat left and these public sector particularly the public

724
00:41:19,239 --> 00:41:23,800
Speaker 1: sector unions, and it's a huge source of political donations

725
00:41:23,800 --> 00:41:26,120
Speaker 1: and political muscle to make sure Democrats stay in charge

726
00:41:26,120 --> 00:41:28,960
Speaker 1: in these places. The reason the pension benefits are so big,

727
00:41:29,000 --> 00:41:31,640
Speaker 1: and this is not that complicated to understand it. To

728
00:41:31,680 --> 00:41:34,960
Speaker 1: find out the pension benefits are big because that's something

729
00:41:35,000 --> 00:41:38,839
Speaker 1: that's back ended and so that they can do a calculation,

730
00:41:38,880 --> 00:41:42,759
Speaker 1: they'll promise the unions, hey, you know, you guys, we

731
00:41:42,880 --> 00:41:45,480
Speaker 1: can't pay you all one hundred and fifty grand, right,

732
00:41:45,480 --> 00:41:48,600
Speaker 1: we can't pay a public school teachers on Well, they'll

733
00:41:48,600 --> 00:41:52,400
Speaker 1: pay administrators money like that sometimes depends on the school district.

734
00:41:52,760 --> 00:41:54,239
Speaker 1: But we're not gonna be able to pay teachers that,

735
00:41:54,600 --> 00:41:57,040
Speaker 1: but we will be able to give you, you know,

736
00:41:57,160 --> 00:42:02,400
Speaker 1: full benefits, full healthcare and retirement for you know, for

737
00:42:02,440 --> 00:42:05,080
Speaker 1: the rest of your life. And with twenty years of service.

738
00:42:05,080 --> 00:42:06,080
Speaker 1: I mean, you know, you have to look at what

739
00:42:06,120 --> 00:42:09,200
Speaker 1: the specific contracts are for different places. But after twenty

740
00:42:09,239 --> 00:42:11,279
Speaker 1: years of service, regardless of how old you are, and

741
00:42:11,320 --> 00:42:12,920
Speaker 1: you can go get another job, you're gonna have full

742
00:42:12,920 --> 00:42:15,480
Speaker 1: benefits the rest of your life. Really sweet back end

743
00:42:15,520 --> 00:42:19,560
Speaker 1: deals that are very expensive, very expensive. I remember when

744
00:42:19,560 --> 00:42:22,759
Speaker 1: I was I was not actually a uniformed officer, so

745
00:42:22,840 --> 00:42:27,120
Speaker 1: I was a contract civilian effectively brought in as an

746
00:42:27,120 --> 00:42:31,280
Speaker 1: outside expert to work with the NYPD as as a civilian,

747
00:42:31,840 --> 00:42:34,880
Speaker 1: but I knew what some of the deals were in

748
00:42:34,920 --> 00:42:37,680
Speaker 1: place and what the union had negotiated. If you're NYPD,

749
00:42:37,960 --> 00:42:39,880
Speaker 1: you know, you get to retire. At least when I

750
00:42:39,920 --> 00:42:42,400
Speaker 1: was in when I was working there, you could retire

751
00:42:42,440 --> 00:42:44,880
Speaker 1: after twenty it doesn't matter how old you were, so

752
00:42:44,960 --> 00:42:47,480
Speaker 1: you could retire in your forties with full pension and

753
00:42:47,520 --> 00:42:51,440
Speaker 1: benefits for you and your family, which was which was

754
00:42:51,480 --> 00:42:54,719
Speaker 1: a pretty amazing deal. When you think about it, and

755
00:42:55,120 --> 00:42:58,319
Speaker 1: the healthcare that they have is effectively they don't really

756
00:42:58,360 --> 00:43:00,520
Speaker 1: pay anything for it, and it's good healthcare. I had

757
00:43:01,000 --> 00:43:03,719
Speaker 1: terrible healthcare as a contracts civilian, and Hypd's healthcare for

758
00:43:03,800 --> 00:43:07,200
Speaker 1: me was total garbage. So anyway, that's where the big

759
00:43:07,239 --> 00:43:10,240
Speaker 1: budget shortfall comes in. And this is long term spending.

760
00:43:10,480 --> 00:43:13,640
Speaker 1: These are bad habits that states have that they don't

761
00:43:13,640 --> 00:43:15,959
Speaker 1: want to be held to account for. That's why Trump

762
00:43:16,040 --> 00:43:18,319
Speaker 1: comes along and he's like, Okay, well, you know we're

763
00:43:18,360 --> 00:43:20,200
Speaker 1: gonna have a conversation about this. That there's going to

764
00:43:20,239 --> 00:43:22,440
Speaker 1: be bailouts for these states. It's not going to be

765
00:43:22,520 --> 00:43:26,000
Speaker 1: as easy as just you know, we want money, give

766
00:43:26,120 --> 00:43:28,239
Speaker 1: us money. The federal government doesn't have to do that.

767
00:43:28,520 --> 00:43:31,400
Speaker 1: There's no obligation of the federal government to come along

768
00:43:32,000 --> 00:43:38,080
Speaker 1: and financially make these states whole or solve it. Even so,

769
00:43:38,239 --> 00:43:41,080
Speaker 1: this is what the President said, play clip twelve. I

770
00:43:41,120 --> 00:43:43,359
Speaker 1: don't think you should have sanctuary cities if they get

771
00:43:43,400 --> 00:43:44,840
Speaker 1: that kind of aid. You know, if you're going to

772
00:43:44,920 --> 00:43:46,800
Speaker 1: get aid to the cities and states, if for the

773
00:43:46,920 --> 00:43:50,239
Speaker 1: kind of numbers you're talking about billions of dollars, I

774
00:43:50,320 --> 00:43:53,000
Speaker 1: don't think you should have sanctuary cities. And by the way,

775
00:43:53,040 --> 00:43:55,120
Speaker 1: the people that have sanctuary cities, they don't like it.

776
00:43:55,680 --> 00:43:57,920
Speaker 1: I think politicians like it a lot more. I go

777
00:43:58,000 --> 00:44:02,000
Speaker 1: to California, I go to lots of different places. Sanctuary

778
00:44:02,080 --> 00:44:04,200
Speaker 1: cities are going to be a part of this fight.

779
00:44:05,120 --> 00:44:07,080
Speaker 1: The Department of Justice has already been taking this on

780
00:44:07,239 --> 00:44:10,880
Speaker 1: the Department of Justice does not want this to be

781
00:44:11,000 --> 00:44:15,719
Speaker 1: something that continues. So we'll see. We'll see if the

782
00:44:15,840 --> 00:44:18,239
Speaker 1: President holds to this, but there might be some negotiating

783
00:44:18,280 --> 00:44:21,440
Speaker 1: over what states get, what they can do, and how far,

784
00:44:21,880 --> 00:44:25,800
Speaker 1: how far this bailout is really going to stretch the

785
00:44:26,239 --> 00:44:28,719
Speaker 1: red states and blue states. We are seeing we're seeing

786
00:44:28,800 --> 00:44:30,719
Speaker 1: federalism at work, but as we know, that can be

787
00:44:30,800 --> 00:44:35,000
Speaker 1: a messy and loud process. It's not a seamless, not

788
00:44:35,120 --> 00:44:40,880
Speaker 1: a seamless situation. You're in the Freedom Hunt. This is

789
00:44:40,920 --> 00:44:48,200
Speaker 1: the Buck Sex and Show podcast. We're now on average

790
00:44:48,200 --> 00:44:53,520
Speaker 1: about thirty thousand tests per day, which is a dramatic

791
00:44:53,640 --> 00:44:57,160
Speaker 1: increase now where we need to be, but a dramatic increase.

792
00:44:57,800 --> 00:45:01,440
Speaker 1: Where we are now. You should know is New York

793
00:45:01,480 --> 00:45:05,759
Speaker 1: State is doing more than most countries are doing. So

794
00:45:05,960 --> 00:45:08,560
Speaker 1: we have been very aggressive and testing and we have

795
00:45:08,800 --> 00:45:12,719
Speaker 1: made great progress, and New Yorkers should feel good about that,

796
00:45:12,960 --> 00:45:16,759
Speaker 1: but we have more to do. You know that I've

797
00:45:16,800 --> 00:45:22,360
Speaker 1: been skeptical of how successful will be in the biggest

798
00:45:22,560 --> 00:45:27,000
Speaker 1: single point that you'll hear from the shutdown, lockdown forever

799
00:45:27,160 --> 00:45:29,920
Speaker 1: chorus or the lockdown until it's safe, which is not

800
00:45:30,040 --> 00:45:32,080
Speaker 1: a thing. There's not going to be until it's there's

801
00:45:32,080 --> 00:45:34,320
Speaker 1: not going to be a safe unless a miracle happens.

802
00:45:34,360 --> 00:45:36,000
Speaker 1: And we don't wait for miracles. We don't shut down

803
00:45:36,000 --> 00:45:39,480
Speaker 1: our economy hoping for a miracle. But test in trace

804
00:45:40,280 --> 00:45:42,800
Speaker 1: has been the refrain, right, Oh, we're just going to

805
00:45:42,880 --> 00:45:44,840
Speaker 1: test in trace. That's what we're That's how we handle this,

806
00:45:44,960 --> 00:45:48,440
Speaker 1: that's what we'll do. And I've been saying, well, on

807
00:45:48,560 --> 00:45:53,640
Speaker 1: the one end, there's just the civil liberties issue of

808
00:45:53,840 --> 00:45:56,759
Speaker 1: having people. Now that we're hiring these tracers, people are

809
00:45:56,760 --> 00:45:58,719
Speaker 1: gonna talk to you about everyone you've talked to you

810
00:45:58,760 --> 00:46:01,759
Speaker 1: and been around a little creepy from a big those

811
00:46:01,800 --> 00:46:03,719
Speaker 1: of us that worry about big government, that should be

812
00:46:03,760 --> 00:46:06,759
Speaker 1: an issue. I would think it's an issue. But then

813
00:46:06,800 --> 00:46:11,600
Speaker 1: you'll also add into this the competency or lack thereof,

814
00:46:11,719 --> 00:46:14,360
Speaker 1: if the government to even do this proct now now

815
00:46:14,480 --> 00:46:16,520
Speaker 1: testing fun. We're going to test at a high level.

816
00:46:17,560 --> 00:46:20,080
Speaker 1: But remember we're being told that if we test enough,

817
00:46:20,160 --> 00:46:24,040
Speaker 1: that'll be that will allow us to suppress the virus,

818
00:46:24,800 --> 00:46:26,880
Speaker 1: which would mean we'd have to be testing large numbers

819
00:46:26,920 --> 00:46:28,960
Speaker 1: of asymptomatic people. We'd have to be able to the

820
00:46:29,080 --> 00:46:31,719
Speaker 1: system would have to sustain that. And then we have

821
00:46:31,840 --> 00:46:35,080
Speaker 1: this tracing capacity where anyone who has the virus, they're

822
00:46:35,120 --> 00:46:37,279
Speaker 1: going to track down all their contacts and find out

823
00:46:37,280 --> 00:46:39,320
Speaker 1: who and make sure they get tested right away so

824
00:46:39,400 --> 00:46:41,040
Speaker 1: that they know if they have it before they infect

825
00:46:41,120 --> 00:46:46,399
Speaker 1: other people. I does this sound plausible to you, because

826
00:46:46,680 --> 00:46:50,080
Speaker 1: let me just say this, the unemployment numbers that came

827
00:46:50,120 --> 00:46:53,600
Speaker 1: out today, which we all know are are just jaw dropping,

828
00:46:53,640 --> 00:46:55,880
Speaker 1: but we kind of expect it, right, there's no surprise.

829
00:46:55,920 --> 00:46:58,920
Speaker 1: You're three point eight million more of sought jobless benefits.

830
00:47:00,880 --> 00:47:04,080
Speaker 1: But we're also seeing that the states that are supposed

831
00:47:04,120 --> 00:47:06,960
Speaker 1: to be dolling out money here, including the six hundred

832
00:47:06,960 --> 00:47:09,520
Speaker 1: dollars a week of additional benefit from the federal government,

833
00:47:09,520 --> 00:47:12,719
Speaker 1: which is why now you have so many employees who

834
00:47:12,880 --> 00:47:17,440
Speaker 1: don't want to go back, don't want to work when

835
00:47:17,480 --> 00:47:20,120
Speaker 1: they could just stay home and keep getting paid more money.

836
00:47:20,920 --> 00:47:23,239
Speaker 1: You know, I love this job, but I don't want

837
00:47:23,239 --> 00:47:25,680
Speaker 1: to know if I double producer mark salary and said,

838
00:47:25,719 --> 00:47:28,360
Speaker 1: producer Mark, you can stay home for double the salary,

839
00:47:28,640 --> 00:47:30,640
Speaker 1: or you can come in and work. You know, I

840
00:47:30,719 --> 00:47:32,440
Speaker 1: might have to ask him at least pretty pleased to

841
00:47:32,600 --> 00:47:34,279
Speaker 1: actually come back in and work, right, And that would

842
00:47:34,280 --> 00:47:37,480
Speaker 1: be true of anybody if you're making more money, considerably

843
00:47:37,520 --> 00:47:40,200
Speaker 1: more money in a lot of cases, for folks staying

844
00:47:40,280 --> 00:47:42,719
Speaker 1: home than you are working, the incentive to work goes down.

845
00:47:43,320 --> 00:47:45,520
Speaker 1: But the states not only that they have to deal

846
00:47:45,560 --> 00:47:47,960
Speaker 1: with this problem where people don't want to go back

847
00:47:48,040 --> 00:47:52,320
Speaker 1: and work, there's also an inability for these states to

848
00:47:52,600 --> 00:47:58,560
Speaker 1: dole out the money properly and to process the unemployment applications.

849
00:47:59,520 --> 00:48:03,480
Speaker 1: They're not really able to do that. You say, well,

850
00:48:03,600 --> 00:48:06,680
Speaker 1: how is that possible? Well? Wall Street Journal has a

851
00:48:06,719 --> 00:48:09,080
Speaker 1: really good piece on it today about the surge in

852
00:48:09,239 --> 00:48:12,200
Speaker 1: jobless benefits testing state systems. Here's what they tell you.

853
00:48:13,800 --> 00:48:18,080
Speaker 1: Many states unemployment benefits systems quote are hamstrung by archaic,

854
00:48:19,120 --> 00:48:23,520
Speaker 1: decades old technology, coping with relief legislation that provides an

855
00:48:23,520 --> 00:48:25,919
Speaker 1: additional six hundred dollars a week in benefits and making

856
00:48:26,400 --> 00:48:30,680
Speaker 1: independent contractors such as Uber and drivers Uber Drivers Eligible

857
00:48:30,719 --> 00:48:36,800
Speaker 1: has created additional strains. The administrative problems means the official

858
00:48:36,880 --> 00:48:41,000
Speaker 1: tally of twenty six million initial claims is almost certainly

859
00:48:41,040 --> 00:48:45,439
Speaker 1: an undercount. About six hundred thousand people tried to apply

860
00:48:45,560 --> 00:48:47,759
Speaker 1: for benefits in the week end at April twenty third,

861
00:48:48,160 --> 00:48:51,680
Speaker 1: but we're unable to file due to long waits or

862
00:48:51,880 --> 00:48:58,160
Speaker 1: other reasons. Then then they do. So the system is

863
00:48:58,600 --> 00:49:01,960
Speaker 1: decades old technology. I've told you before about my experience

864
00:49:02,000 --> 00:49:04,520
Speaker 1: the NYPD using a and this was in two thousand

865
00:49:04,600 --> 00:49:08,480
Speaker 1: and eleven, so almost ten years ago. But they were

866
00:49:08,600 --> 00:49:11,000
Speaker 1: using a system I'm not kidding. It ran on DOSS.

867
00:49:11,920 --> 00:49:14,160
Speaker 1: So it was like you know, the little, the little

868
00:49:14,200 --> 00:49:16,040
Speaker 1: I don't even know how to describe, how to describe it,

869
00:49:16,160 --> 00:49:18,720
Speaker 1: but this is I think almost before producer Mark was alive.

870
00:49:19,120 --> 00:49:23,680
Speaker 1: But you know, C colon, dash, dash tab, semi colon.

871
00:49:24,239 --> 00:49:26,719
Speaker 1: That's and we were It was always this big joke

872
00:49:26,800 --> 00:49:30,680
Speaker 1: and frustration in the office that we're using a DOSS system.

873
00:49:31,200 --> 00:49:35,000
Speaker 1: This thing is quite literally from I think then maybe

874
00:49:35,040 --> 00:49:37,880
Speaker 1: the early nineties, and that was what we had to

875
00:49:37,920 --> 00:49:44,160
Speaker 1: do to pull up files for things was absurd, absurd.

876
00:49:44,960 --> 00:49:46,759
Speaker 1: But states have a lot of stuff like that where

877
00:49:46,760 --> 00:49:48,360
Speaker 1: they don't want to. They don't want to invest. You

878
00:49:48,440 --> 00:49:51,239
Speaker 1: don't get votes. You know you don't. You don't consolidate

879
00:49:51,320 --> 00:49:54,279
Speaker 1: your power as a state government by making sure that

880
00:49:54,400 --> 00:49:58,400
Speaker 1: people are more efficient at their jobs. No, remember this,

881
00:49:58,560 --> 00:50:01,719
Speaker 1: the government always has an incenti of state governments in particular. Well,

882
00:50:01,719 --> 00:50:06,160
Speaker 1: all governments really have an incentive to be inefficient because

883
00:50:06,280 --> 00:50:11,200
Speaker 1: their inefficiency becomes the justification for a greater demand for resources.

884
00:50:11,680 --> 00:50:13,880
Speaker 1: So they need more people, they need more stuff, they

885
00:50:13,920 --> 00:50:18,080
Speaker 1: need more money, they need more money. Well, why make

886
00:50:18,200 --> 00:50:20,239
Speaker 1: someone better at their job when you could hire three

887
00:50:20,320 --> 00:50:22,560
Speaker 1: people to do one job. So you have to keep

888
00:50:22,600 --> 00:50:25,719
Speaker 1: that in mind. That's how the government functions as a

889
00:50:25,800 --> 00:50:29,600
Speaker 1: general rule. Than The Wall Street Journal brings his home

890
00:50:29,680 --> 00:50:32,240
Speaker 1: by explaining what this means for people that states, Remember

891
00:50:32,239 --> 00:50:33,960
Speaker 1: the states, they're going to do the test and trade system.

892
00:50:34,480 --> 00:50:36,920
Speaker 1: They're gonna do test and trace, but they can't handle

893
00:50:36,960 --> 00:50:39,480
Speaker 1: the jobless applications out there. But they're going to handle

894
00:50:39,520 --> 00:50:45,120
Speaker 1: test and trace really well, does anybody believe this? Journal?

895
00:50:45,200 --> 00:50:48,560
Speaker 1: Here reports that a resident of New Jersey, amber Montserrat,

896
00:50:49,200 --> 00:50:51,560
Speaker 1: said she had a pass to electricity bill and rent

897
00:50:51,640 --> 00:50:53,480
Speaker 1: to pay, but still doesn't know when she'll receive on

898
00:50:53,560 --> 00:50:56,360
Speaker 1: employment benefits. She's a mother of four boys and her

899
00:50:56,400 --> 00:51:00,200
Speaker 1: family's main breadwinner. She started applying for unemployed I mean

900
00:51:00,200 --> 00:51:02,359
Speaker 1: in mid March. She was laid off from her job

901
00:51:02,400 --> 00:51:05,239
Speaker 1: as a waitress because of the pandemic. She now works

902
00:51:05,320 --> 00:51:07,239
Speaker 1: one day a week delivering meals to families in the

903
00:51:07,440 --> 00:51:10,799
Speaker 1: school district. She calls the New Jersey Department of Labor

904
00:51:10,840 --> 00:51:12,520
Speaker 1: and Workforce every day to find out what the hold

905
00:51:12,600 --> 00:51:15,919
Speaker 1: up is, but has not been able to get through.

906
00:51:17,320 --> 00:51:20,959
Speaker 1: So people have no money, they have no job. We've

907
00:51:21,320 --> 00:51:24,080
Speaker 1: just been told the governments at trying to just shovel

908
00:51:24,160 --> 00:51:27,319
Speaker 1: money to them as fast as they can, and they're

909
00:51:27,320 --> 00:51:28,960
Speaker 1: not even able to do that. But we're going to

910
00:51:29,000 --> 00:51:32,640
Speaker 1: have a massive program of finding all cases, finding all

911
00:51:32,680 --> 00:51:35,080
Speaker 1: positives and everyone that they've come into contact with once

912
00:51:35,080 --> 00:51:38,600
Speaker 1: they're positib we're gonna set that up real fast. Does

913
00:51:38,640 --> 00:51:40,520
Speaker 1: anyone want to place bets and whether the buckster is

914
00:51:40,520 --> 00:51:41,960
Speaker 1: going to end up looking right on this one or not.

915
00:51:44,360 --> 00:51:46,960
Speaker 1: Quote I'm reading that the system is over forty years old.

916
00:51:47,080 --> 00:51:50,680
Speaker 1: It's pen and pencil type stuff. She said. That's not

917
00:51:50,800 --> 00:51:53,080
Speaker 1: really acceptable now when you have people that are relying

918
00:51:53,400 --> 00:51:59,239
Speaker 1: on these services, it is not acceptable, is it? This

919
00:51:59,440 --> 00:52:01,520
Speaker 1: is why you don't want state governments in charge of things.

920
00:52:01,880 --> 00:52:03,759
Speaker 1: This is why you don't want the government running your

921
00:52:03,760 --> 00:52:07,160
Speaker 1: whole economy. There are reasons for the beliefs that we

922
00:52:07,280 --> 00:52:10,800
Speaker 1: have has conservative. There are reasons why we want limited government.

923
00:52:10,800 --> 00:52:12,279
Speaker 1: It's not because we're mean, it's not because we're all

924
00:52:12,280 --> 00:52:15,600
Speaker 1: Ebenezer Scrooge. It's because we understand the limitations and the

925
00:52:15,800 --> 00:52:20,239
Speaker 1: built in lack of incentive for efficiency, for getting things

926
00:52:20,320 --> 00:52:23,839
Speaker 1: done well. And then the Wall Street Journal article then

927
00:52:23,880 --> 00:52:26,480
Speaker 1: gives you then this is a this is a classic.

928
00:52:27,120 --> 00:52:28,840
Speaker 1: This is what's going on in Connecticut. Remember, these are

929
00:52:28,920 --> 00:52:32,279
Speaker 1: unemployment systems that have been substandard for a long time,

930
00:52:32,320 --> 00:52:35,640
Speaker 1: and now they've just had the biggest deluge of claims

931
00:52:35,880 --> 00:52:39,560
Speaker 1: in history, and they're just breaking under the strain of

932
00:52:39,640 --> 00:52:41,480
Speaker 1: a New York system had to come down. I'll come

933
00:52:41,520 --> 00:52:44,719
Speaker 1: offline because it couldn't handle all the applications. Here's how

934
00:52:44,760 --> 00:52:46,960
Speaker 1: it is in Connecticut. The extra six hundred dollars this

935
00:52:47,120 --> 00:52:50,240
Speaker 1: is from the federal government pushes the highest eligible payout

936
00:52:50,280 --> 00:52:54,040
Speaker 1: to one two hundred and forty nine dollars. But Connecticut's

937
00:52:54,040 --> 00:52:57,640
Speaker 1: computer system was designed to handle only up to three

938
00:52:57,760 --> 00:53:01,279
Speaker 1: digit payments, pushing up the maximum to four digits would

939
00:53:01,320 --> 00:53:05,440
Speaker 1: require reviewing and modifying well over one hundred main frames.

940
00:53:06,840 --> 00:53:10,279
Speaker 1: That's right. Connecticut can't even give people the money that

941
00:53:10,360 --> 00:53:13,480
Speaker 1: they are legally due from the government because the Connecticut

942
00:53:13,560 --> 00:53:17,120
Speaker 1: system is so crappy that it only can process three

943
00:53:17,239 --> 00:53:21,040
Speaker 1: digit claims. So if they want to give you nine

944
00:53:21,160 --> 00:53:24,759
Speaker 1: hundred ninety nine dollars, you're good. But if your unemployment

945
00:53:24,840 --> 00:53:27,560
Speaker 1: check is going to be a thousand dollars, wow, wow,

946
00:53:28,480 --> 00:53:34,640
Speaker 1: too bad. But remember, folks, a massive campaign of consistent,

947
00:53:34,960 --> 00:53:39,480
Speaker 1: accurate testing across the populace that is mandatory. I suppose

948
00:53:39,520 --> 00:53:40,839
Speaker 1: how they're going to get people to do this. Maybe

949
00:53:40,880 --> 00:53:42,600
Speaker 1: people aren't gonna want to take all these tests all

950
00:53:42,600 --> 00:53:44,480
Speaker 1: the time, but put that aside for a moment, and

951
00:53:44,600 --> 00:53:49,319
Speaker 1: then finding finding these people once they're positive, and finding

952
00:53:49,320 --> 00:53:51,160
Speaker 1: the people they've come into contact with, test and trace.

953
00:53:51,239 --> 00:53:55,399
Speaker 1: That's the answer. New York State, state that can't give

954
00:53:55,440 --> 00:53:59,520
Speaker 1: you money that's due you, is going to make sure

955
00:53:59,680 --> 00:54:02,279
Speaker 1: that you know whether or not you've been infected and

956
00:54:02,320 --> 00:54:04,080
Speaker 1: everyone you come into contact with, and do so in

957
00:54:04,160 --> 00:54:08,719
Speaker 1: such a timely fashion that it prevents future outbreaks. I hope,

958
00:54:08,719 --> 00:54:10,920
Speaker 1: I'm I hope I'm wrong on this one. But I

959
00:54:10,960 --> 00:54:14,120
Speaker 1: don't think so. Thanks for listening to The Bus Sesson

960
00:54:14,200 --> 00:54:18,959
Speaker 1: Show podcasts. Remember to subscribe on Apple podcast, the iHeartRadio app,

961
00:54:19,160 --> 00:54:23,520
Speaker 1: or wherever you get your podcasts. I believe her. It's

962
00:54:23,560 --> 00:54:28,040
Speaker 1: obvious not okay. Her story is credible. If I believe

963
00:54:28,239 --> 00:54:31,040
Speaker 1: the women believe her, she is credible, she should be

964
00:54:31,160 --> 00:54:34,360
Speaker 1: heard and send it to treat her with respect and

965
00:54:34,480 --> 00:54:38,320
Speaker 1: dignity that she deserves the honesty, her integrity, her truth.

966
00:54:38,880 --> 00:54:41,400
Speaker 1: It's obvious you should be going to jail if he

967
00:54:41,520 --> 00:54:46,080
Speaker 1: was allowed to be prosecuted today, it's not okay. Do

968
00:54:46,200 --> 00:54:48,839
Speaker 1: you believe the allegation that's been put out there by

969
00:54:48,960 --> 00:54:53,600
Speaker 1: terror read against Biden? Vice President Biden has vehemently denied

970
00:54:53,800 --> 00:54:57,800
Speaker 1: these allegations, and I support Vice President Biden. Do you

971
00:54:57,920 --> 00:55:02,120
Speaker 1: think some of the Democrats who sup Blasi Forward's allegations

972
00:55:02,120 --> 00:55:05,640
Speaker 1: against Kavanaugh, who've been silent on this Biden allegation, do

973
00:55:05,680 --> 00:55:08,160
Speaker 1: you see that as a contradiction that they're not speaking

974
00:55:08,200 --> 00:55:11,719
Speaker 1: out more and addressing terror Reid's allegation. I stand by

975
00:55:11,880 --> 00:55:15,800
Speaker 1: Vice President Biden. He's devoted his life to supporting women,

976
00:55:16,000 --> 00:55:21,040
Speaker 1: and he has vehemently denied this allegation. Kirsen Jillibrand, Senator

977
00:55:21,160 --> 00:55:24,920
Speaker 1: from New York, telling everybody there back during the Kavanaugh error,

978
00:55:25,040 --> 00:55:28,839
Speaker 1: she totally believed Blasi for totally credible. It's great, Oh yeah,

979
00:55:28,880 --> 00:55:31,080
Speaker 1: we believe her. And then when I asked about the

980
00:55:31,160 --> 00:55:34,040
Speaker 1: Joe Biden accuser, it's I believe Joe Biden. Wait. I

981
00:55:34,120 --> 00:55:35,920
Speaker 1: thought women had a right to be believed. Now it's

982
00:55:36,000 --> 00:55:38,560
Speaker 1: Joe Biden has a right to be believed. I want

983
00:55:38,600 --> 00:55:41,560
Speaker 1: to bring in Saraje Hashmi from the Washington Examined or

984
00:55:41,600 --> 00:55:43,719
Speaker 1: Two weigh in on this one. Sarage, thanks man, first

985
00:55:43,760 --> 00:55:46,719
Speaker 1: time having you on. Appreciate you having me on. Buck. So,

986
00:55:47,760 --> 00:55:50,919
Speaker 1: I think that this is going to just get worse

987
00:55:51,000 --> 00:55:54,239
Speaker 1: and worse because the New York Times really set set

988
00:55:54,280 --> 00:55:57,320
Speaker 1: the initial tone of this by waiting two weeks and

989
00:55:57,400 --> 00:56:00,800
Speaker 1: then saying, yeah, well, we didn't think that Biden was

990
00:56:00,840 --> 00:56:03,640
Speaker 1: as much a public figure as Kavanaugh, which is just

991
00:56:04,120 --> 00:56:06,839
Speaker 1: a flatly absurd and kind of crazy thing to say.

992
00:56:07,400 --> 00:56:10,360
Speaker 1: And I've seen some efforts to try and claim that

993
00:56:10,480 --> 00:56:13,320
Speaker 1: the double standard here is not as bad as it

994
00:56:13,400 --> 00:56:18,640
Speaker 1: really is. Chris Hayes last night on MSNBC, to his credit,

995
00:56:19,200 --> 00:56:22,720
Speaker 1: brought up the allegations against Joe Biden and now fire

996
00:56:22,880 --> 00:56:26,239
Speaker 1: Chris Hayes is trending on Twitter. What is going on here?

997
00:56:26,560 --> 00:56:29,799
Speaker 1: It's actually incredible to see the double standard at play here.

998
00:56:30,120 --> 00:56:34,480
Speaker 1: Usually when you see things like this, usually you're running

999
00:56:34,520 --> 00:56:37,800
Speaker 1: the mill type of political story. This has to do

1000
00:56:37,920 --> 00:56:44,600
Speaker 1: with sexual assault accusations against the presumptive Democratic nominee Joe Biden.

1001
00:56:45,040 --> 00:56:48,520
Speaker 1: And Kate Kelly, who was the one of the writers

1002
00:56:48,719 --> 00:56:53,239
Speaker 1: of the book about Brett Cavanaugh's accusations, works with The

1003
00:56:53,239 --> 00:56:56,840
Speaker 1: New York Times. She wrote in a tweet about a

1004
00:56:56,880 --> 00:56:59,480
Speaker 1: couple of weeks ago, how there was just a different

1005
00:56:59,560 --> 00:57:02,600
Speaker 1: news ugment when they came to Bret Cavanaugh versus Joe Biden.

1006
00:57:02,719 --> 00:57:07,080
Speaker 1: And that's why they didn't cover Joe Biden as aggressively

1007
00:57:07,160 --> 00:57:11,600
Speaker 1: that they cover Bret Cavanaugh is the presumptive nominee. I mean,

1008
00:57:11,719 --> 00:57:15,680
Speaker 1: how how different is that news judgment. It's all become

1009
00:57:15,760 --> 00:57:19,880
Speaker 1: a point where it's if your side does it, we

1010
00:57:19,960 --> 00:57:21,960
Speaker 1: should just give it an automatic pass. But if the

1011
00:57:22,040 --> 00:57:25,880
Speaker 1: other side does, ah, shame on you, naughty boy. Yeah.

1012
00:57:25,920 --> 00:57:28,760
Speaker 1: I just would wonder how any journalist who who was

1013
00:57:28,840 --> 00:57:32,040
Speaker 1: taking the approach and it's in writing and you can,

1014
00:57:32,200 --> 00:57:34,280
Speaker 1: you know, you find the clips online of them going

1015
00:57:34,320 --> 00:57:37,320
Speaker 1: on cable news that women have I mean, the phrase

1016
00:57:37,400 --> 00:57:39,240
Speaker 1: was women have a right to be believed, and they

1017
00:57:39,280 --> 00:57:42,480
Speaker 1: completely believed Blasi Ford. And the standard that they set

1018
00:57:42,560 --> 00:57:45,520
Speaker 1: up was that if there's even a doubt about Kavanaugh,

1019
00:57:46,360 --> 00:57:48,240
Speaker 1: we should not put him in power. Right, That was

1020
00:57:48,320 --> 00:57:50,000
Speaker 1: actually what was being said at the time, and I

1021
00:57:50,080 --> 00:57:54,040
Speaker 1: remember I was very involved in that fight. So then

1022
00:57:54,080 --> 00:57:57,120
Speaker 1: I want to know why is now the standard that

1023
00:57:57,320 --> 00:58:01,800
Speaker 1: we just believe Joe Biden, because when the allegation against him,

1024
00:58:02,000 --> 00:58:04,520
Speaker 1: there's nothing about it that is not credible. I mean,

1025
00:58:04,720 --> 00:58:07,800
Speaker 1: I challenge somebody to find where the contradiction is or

1026
00:58:07,840 --> 00:58:11,800
Speaker 1: where the absence of essential facts would be. Politics, in short,

1027
00:58:11,920 --> 00:58:14,280
Speaker 1: has poisoned the well here and the well being the

1028
00:58:14,400 --> 00:58:18,200
Speaker 1: Me too movement. It cannot be escaped. Rose McGowan, who

1029
00:58:18,440 --> 00:58:23,120
Speaker 1: actually has been very consistent about her stance on sexual

1030
00:58:23,120 --> 00:58:26,880
Speaker 1: assault accusations or any you know, any allegations of the

1031
00:58:27,040 --> 00:58:30,600
Speaker 1: sexual misconduct nature, she is actually in a tweet last

1032
00:58:30,680 --> 00:58:34,080
Speaker 1: night posted about her kind of dismail and how discourage

1033
00:58:34,120 --> 00:58:37,800
Speaker 1: he was to see how she's been a lifelong Democrat

1034
00:58:38,200 --> 00:58:41,080
Speaker 1: and all the Democrats are just rallying behind Joe Biden

1035
00:58:41,560 --> 00:58:45,240
Speaker 1: in spite of these very well, could be very credible

1036
00:58:45,280 --> 00:58:49,560
Speaker 1: accusations of sexual misconduct by Tara Reid against Joe Biden.

1037
00:58:50,000 --> 00:58:52,960
Speaker 1: And what we're seeing right now is that you're just

1038
00:58:53,080 --> 00:58:56,880
Speaker 1: gonna see the whole METO movement unravel to the point

1039
00:58:56,960 --> 00:58:59,480
Speaker 1: where all the good will that was built up will

1040
00:58:59,480 --> 00:59:02,560
Speaker 1: be to enough. We're speaking of Saraje Hashmi. He's a

1041
00:59:03,160 --> 00:59:10,800
Speaker 1: commentary video expert at the Washington Examiner. Joe Biden hasn't

1042
00:59:10,920 --> 00:59:15,400
Speaker 1: responded to this yet. Journalists, it seems, haven't been willing

1043
00:59:15,480 --> 00:59:19,280
Speaker 1: to ask him about this yet. Nancy Pelosi has been

1044
00:59:19,600 --> 00:59:21,440
Speaker 1: saying that she stands with him, of course, because you know,

1045
00:59:21,560 --> 00:59:25,240
Speaker 1: Nancy Pelosi wants power. You had. Stacy Abrams claimed the

1046
00:59:25,280 --> 00:59:29,439
Speaker 1: New York Times effectively exonerated Biden, which is not true.

1047
00:59:29,520 --> 00:59:31,480
Speaker 1: Even the Times has said, well, we didn't do that,

1048
00:59:32,360 --> 00:59:34,480
Speaker 1: or you know that that was found not credible. They

1049
00:59:34,520 --> 00:59:36,360
Speaker 1: did not do that because there's no way to make

1050
00:59:36,400 --> 00:59:39,920
Speaker 1: it not credible. So far, when does Biden have to

1051
00:59:40,040 --> 00:59:42,000
Speaker 1: get asked about this or do you think it's possible

1052
00:59:42,120 --> 00:59:43,960
Speaker 1: that that journalists are just going to try to, you know,

1053
00:59:44,080 --> 00:59:47,080
Speaker 1: push this thing aside and ride it out until people

1054
00:59:47,120 --> 00:59:49,040
Speaker 1: don't care anymore, which I don't know when that's going

1055
00:59:49,080 --> 00:59:52,440
Speaker 1: to be. From what I'm hearing that terror Read is

1056
00:59:52,520 --> 00:59:58,280
Speaker 1: strategically making sure that her story is being heard through

1057
00:59:58,360 --> 01:00:02,080
Speaker 1: the media. You're yetting get heard by Chris Hayes on MSNBC.

1058
01:00:02,760 --> 01:00:05,360
Speaker 1: Eventually you're starting to hear You're actually starting to see

1059
01:00:05,400 --> 01:00:08,640
Speaker 1: Brian Selter tweet about it. Albeit Brian Felter hasn't really

1060
01:00:08,720 --> 01:00:11,720
Speaker 1: been sort of the best arbiter on what the media

1061
01:00:11,760 --> 01:00:14,439
Speaker 1: should be covering and should not be covering. I'm hearing

1062
01:00:14,560 --> 01:00:17,439
Speaker 1: from Ben Smith the New York Times, who's a media

1063
01:00:17,520 --> 01:00:20,800
Speaker 1: reporter who's previously with bugs feeds that Tara Rita is

1064
01:00:20,800 --> 01:00:24,680
Speaker 1: in discussions with Foxes to join Chris Wallace's show on Sunday.

1065
01:00:25,360 --> 01:00:27,560
Speaker 1: We'll see what happens with that, because there's a good

1066
01:00:27,680 --> 01:00:30,400
Speaker 1: chance that if she ends up becoming sort of a

1067
01:00:31,080 --> 01:00:35,920
Speaker 1: staple within conservative media, then there's almost the immediate the

1068
01:00:36,040 --> 01:00:39,400
Speaker 1: immediate backlash to that would be, Look, she's a she's

1069
01:00:39,440 --> 01:00:42,920
Speaker 1: a plot of the conservative media's plot with the Republican

1070
01:00:43,000 --> 01:00:46,880
Speaker 1: Party to try to destroy Joe Biden. Therefore her accusations

1071
01:00:46,880 --> 01:00:50,560
Speaker 1: the sexual misconduct should be thrown out. So there's a

1072
01:00:50,720 --> 01:00:53,160
Speaker 1: very there's a balancing actually has to play right now,

1073
01:00:53,680 --> 01:00:57,120
Speaker 1: and it all it really depends on who she speaks

1074
01:00:57,160 --> 01:01:00,640
Speaker 1: with and what she says. But the corroboration from Lynda

1075
01:01:00,720 --> 01:01:03,800
Speaker 1: Lecass earlier this week, certainly there's a lot more than

1076
01:01:03,840 --> 01:01:06,520
Speaker 1: what we've seen from Christine Blogge accord against Brett Kavanaugh.

1077
01:01:07,200 --> 01:01:09,840
Speaker 1: And do you think that the pressure on some of

1078
01:01:09,880 --> 01:01:13,200
Speaker 1: the journalists out there to push Biden on this will

1079
01:01:13,280 --> 01:01:16,760
Speaker 1: become too much? Because right now I mean meaning that

1080
01:01:16,840 --> 01:01:19,000
Speaker 1: that he has to actually answer for this. I would

1081
01:01:19,000 --> 01:01:20,920
Speaker 1: also just say, and this is an aside, this is

1082
01:01:21,000 --> 01:01:25,320
Speaker 1: my opinions as a guy. If someone saying this about you,

1083
01:01:25,600 --> 01:01:28,680
Speaker 1: I don't care what the circumstances are. If it's not true.

1084
01:01:29,160 --> 01:01:31,520
Speaker 1: I think you say this is not true, this did

1085
01:01:31,600 --> 01:01:34,560
Speaker 1: not happen. I don't think you allow your campaign to

1086
01:01:34,720 --> 01:01:37,360
Speaker 1: do that for you. I think that's weird. But that's

1087
01:01:37,400 --> 01:01:39,560
Speaker 1: my opinion. But what do you think about the journalists

1088
01:01:39,600 --> 01:01:42,320
Speaker 1: out there who have access to Biden who have yet

1089
01:01:42,320 --> 01:01:45,480
Speaker 1: to ask him about this. That's the thing I think

1090
01:01:45,480 --> 01:01:48,360
Speaker 1: it's a good question to ask, is when it comes

1091
01:01:48,440 --> 01:01:52,800
Speaker 1: to journalists having access to Joe Biden is asking the

1092
01:01:52,920 --> 01:01:57,920
Speaker 1: question about Tara Reid's accusation going to jeopardize their access

1093
01:01:58,040 --> 01:02:01,520
Speaker 1: to the Democratic nominee. And I think for a lot

1094
01:02:01,600 --> 01:02:04,800
Speaker 1: of reporters that's always been a fine line that they've

1095
01:02:04,840 --> 01:02:08,560
Speaker 1: had to try to balance. Here. I think what we've

1096
01:02:08,800 --> 01:02:10,800
Speaker 1: seen in the last week, in the last few days,

1097
01:02:11,320 --> 01:02:15,280
Speaker 1: is that the amount of evidence or an amount of

1098
01:02:15,440 --> 01:02:18,000
Speaker 1: people talking about Tara Reid is going to become so

1099
01:02:18,160 --> 01:02:26,480
Speaker 1: great that the mainstream media, that the main outlets, you know, CBS, NBC, MSNBC,

1100
01:02:27,200 --> 01:02:30,840
Speaker 1: ABC and Fox News and CNN, they have to cover it.

1101
01:02:31,040 --> 01:02:33,640
Speaker 1: It's too big of a story to ignore, and that

1102
01:02:33,920 --> 01:02:36,280
Speaker 1: that's what you got to just keep talking about it,

1103
01:02:36,520 --> 01:02:38,840
Speaker 1: and Tara Reid has to continue to tell her story

1104
01:02:38,960 --> 01:02:40,880
Speaker 1: and try to tell it as much as he possibly can,

1105
01:02:41,680 --> 01:02:44,280
Speaker 1: but at the same time not get lost in the

1106
01:02:44,360 --> 01:02:47,880
Speaker 1: woods of being trying to become herself a media start

1107
01:02:47,920 --> 01:02:53,760
Speaker 1: because sometimes victims use Unfortunately, there's some victims out there

1108
01:02:53,760 --> 01:02:56,360
Speaker 1: who use their story to sort of launch a career

1109
01:02:56,480 --> 01:02:58,840
Speaker 1: in and of themselves, and I don't think Tarah Reid

1110
01:02:58,960 --> 01:03:01,720
Speaker 1: is one of those types of Saraj Hashman of The

1111
01:03:01,760 --> 01:03:03,760
Speaker 1: Washington Examiner, Saras, thanks so much for your time and

1112
01:03:03,880 --> 01:03:06,040
Speaker 1: we'll talk to you soon. Thank you so much. Buck,

1113
01:03:08,880 --> 01:03:11,840
Speaker 1: You're in the Freedom Hunt. This is the Buck Sexton

1114
01:03:11,920 --> 01:03:18,320
Speaker 1: Show podcast. And finally, we need to ensure that women

1115
01:03:18,400 --> 01:03:22,080
Speaker 1: have access to all health services during this crisis. Abortion

1116
01:03:22,240 --> 01:03:25,640
Speaker 1: is the essential healthcare service. It's being used as a

1117
01:03:25,760 --> 01:03:29,520
Speaker 1: political wedge right now, and it shouldn't be. The American

1118
01:03:29,600 --> 01:03:32,840
Speaker 1: College of Obstetricians and kind Ecologists in the American Medical

1119
01:03:32,880 --> 01:03:36,960
Speaker 1: Association degree that it shouldn't be categorized as a procedure

1120
01:03:37,040 --> 01:03:40,000
Speaker 1: that can be delayed. It can't. I know that there's

1121
01:03:40,040 --> 01:03:43,000
Speaker 1: the huge political double standard that we often talk about

1122
01:03:43,040 --> 01:03:45,160
Speaker 1: when it comes to me too, but let's also remember

1123
01:03:45,720 --> 01:03:48,440
Speaker 1: that there's always when it comes to any issues involving

1124
01:03:49,240 --> 01:03:52,560
Speaker 1: women and how the left will treat people. If you

1125
01:03:52,760 --> 01:03:55,960
Speaker 1: are pro life, they will try to destroy you and

1126
01:03:56,080 --> 01:03:58,680
Speaker 1: you get no benefit of the doubt. You get no,

1127
01:04:00,080 --> 01:04:04,640
Speaker 1: no second chance, nothing. If you are pro choice, you're

1128
01:04:04,680 --> 01:04:06,800
Speaker 1: always going to be in a better category. I'm not

1129
01:04:06,880 --> 01:04:08,680
Speaker 1: saying that it's a get out of jail free card,

1130
01:04:08,800 --> 01:04:10,720
Speaker 1: but it's it's always going to be a better category

1131
01:04:10,760 --> 01:04:12,280
Speaker 1: for you. And obviously, if you're a Democrat in your

1132
01:04:12,320 --> 01:04:14,880
Speaker 1: pro choice and you're important to the movement, well then

1133
01:04:14,920 --> 01:04:17,200
Speaker 1: you're Joe Biden. And then you know, look, he's going

1134
01:04:17,240 --> 01:04:19,280
Speaker 1: to get a pass on this. There's no chance in

1135
01:04:19,400 --> 01:04:24,000
Speaker 1: my mind that Joe Biden is going to be held

1136
01:04:24,040 --> 01:04:29,680
Speaker 1: to account on this. What is perhaps perhaps still lingering

1137
01:04:29,720 --> 01:04:32,320
Speaker 1: in the back of some people's minds, maybe it's just

1138
01:04:32,440 --> 01:04:36,400
Speaker 1: my mind, is that a certain someone doesn't think that

1139
01:04:36,480 --> 01:04:38,280
Speaker 1: this whole thing is totally over yet in terms of

1140
01:04:38,320 --> 01:04:41,720
Speaker 1: the nomination and who the Democrat nominee is going to be.

1141
01:04:42,880 --> 01:04:48,240
Speaker 1: There's someone out there who never says that it's all over,

1142
01:04:48,560 --> 01:04:52,160
Speaker 1: you know, never says it, never says that it's time

1143
01:04:52,200 --> 01:04:56,440
Speaker 1: to pack it in. There's you know, the unexpected can happen.

1144
01:04:56,680 --> 01:05:01,160
Speaker 1: You know, things can just all of a sudden change

1145
01:05:01,320 --> 01:05:05,360
Speaker 1: in your favor. You know, Epstein could no longer be

1146
01:05:05,440 --> 01:05:08,560
Speaker 1: a problem in How did that happen? Right? I mean,

1147
01:05:08,600 --> 01:05:11,640
Speaker 1: you know, things all of a sudden just change. You

1148
01:05:11,720 --> 01:05:16,120
Speaker 1: have a crazy circumstance that breaks in your in your direction,

1149
01:05:16,640 --> 01:05:19,440
Speaker 1: and you get to be the nominee who's thinking in

1150
01:05:19,520 --> 01:05:23,400
Speaker 1: those terms, who's thinking about you know, maybe Biden is

1151
01:05:23,560 --> 01:05:26,440
Speaker 1: a you know, has a health issue, a real health issue,

1152
01:05:26,760 --> 01:05:29,120
Speaker 1: which I think we all see happening in real time anyway,

1153
01:05:29,880 --> 01:05:33,600
Speaker 1: But you never know what's gonna happen when the Clintons

1154
01:05:34,040 --> 01:05:36,280
Speaker 1: are in the background. You never know how things are

1155
01:05:36,320 --> 01:05:39,919
Speaker 1: going to go. Here's Hillary talking about what she thinks

1156
01:05:40,000 --> 01:05:42,959
Speaker 1: is going on here play one. This is a high

1157
01:05:43,120 --> 01:05:47,040
Speaker 1: stakes time because of the pandemic, but this is also

1158
01:05:47,240 --> 01:05:52,160
Speaker 1: a really high stakes election. And every form of healthcare

1159
01:05:52,280 --> 01:05:57,120
Speaker 1: should continue to be available in pluting reproductive healthcare for

1160
01:05:57,800 --> 01:06:01,760
Speaker 1: every woman in this country, and then it needs to

1161
01:06:01,840 --> 01:06:05,200
Speaker 1: be part of a much larger system than eventually and

1162
01:06:05,520 --> 01:06:10,160
Speaker 1: quickly I hope gets us to universal healthcare. So I

1163
01:06:10,640 --> 01:06:14,920
Speaker 1: can only say amen to everything you're saying, but also

1164
01:06:15,040 --> 01:06:18,600
Speaker 1: to again enlist people that this would be a terrible

1165
01:06:18,640 --> 01:06:21,720
Speaker 1: crisis to waste. As the old saying goes, we've learned

1166
01:06:21,760 --> 01:06:27,640
Speaker 1: a lot about what our absolute frailties are in our

1167
01:06:27,680 --> 01:06:30,920
Speaker 1: country when it comes to health justice and economic justice.

1168
01:06:31,280 --> 01:06:33,560
Speaker 1: So you know, let's be resolved that we're going to

1169
01:06:33,840 --> 01:06:37,680
Speaker 1: solve those once you're elected president. I promise you that's

1170
01:06:37,680 --> 01:06:41,680
Speaker 1: gonna be my objective. M Yeah, you better better be

1171
01:06:41,720 --> 01:06:44,040
Speaker 1: your objective. Joke, because Hilary doesn't sound like somebody who

1172
01:06:44,120 --> 01:06:47,000
Speaker 1: just has some helpful ideas, does she. She's in the

1173
01:06:47,080 --> 01:06:51,840
Speaker 1: background of how she's still there, wondering when it will

1174
01:06:51,840 --> 01:06:54,560
Speaker 1: be her time round three third time to charm she

1175
01:06:54,720 --> 01:06:58,520
Speaker 1: tried twice. Want to give her a third goal. I'm

1176
01:06:58,560 --> 01:07:01,080
Speaker 1: not going to give up until there's somebody else on

1177
01:07:01,240 --> 01:07:04,680
Speaker 1: election day on the Democrat ballot. I'm not gonna say

1178
01:07:04,720 --> 01:07:07,200
Speaker 1: that it's all it's all over. I'm just I'm sorry.

1179
01:07:08,000 --> 01:07:14,160
Speaker 1: The Clintons. There is something truly you almost respect the malevolence.

1180
01:07:14,320 --> 01:07:17,640
Speaker 1: You know, you almost have to say to yourself, it's

1181
01:07:17,680 --> 01:07:21,480
Speaker 1: amazing what they're able to, what they've been able to endure,

1182
01:07:21,600 --> 01:07:24,400
Speaker 1: and they just stick and they're so shameless and so

1183
01:07:24,680 --> 01:07:28,680
Speaker 1: reckless and oh my gosh, really, you couldn't write better

1184
01:07:28,720 --> 01:07:31,200
Speaker 1: political villains in some ways than the Clintons. They're they're

1185
01:07:31,280 --> 01:07:33,960
Speaker 1: really in a class by themselves. Oh you know, I

1186
01:07:34,040 --> 01:07:37,840
Speaker 1: mentioned climate change the other day, and if you want

1187
01:07:37,880 --> 01:07:40,240
Speaker 1: to know how much the science is really driving the

1188
01:07:40,280 --> 01:07:45,960
Speaker 1: discussion now, the the climatologist in chief, the world's most

1189
01:07:46,040 --> 01:07:49,720
Speaker 1: famous climate change advocate, is now appearing in New York

1190
01:07:49,760 --> 01:07:53,480
Speaker 1: City Department of Education videos telling us to listen to

1191
01:07:53,560 --> 01:07:58,600
Speaker 1: the science on coronavirus. As if this wasn't politicized enough

1192
01:07:58,720 --> 01:08:01,720
Speaker 1: by people who don't know what the heck they're talking about.

1193
01:08:02,240 --> 01:08:06,520
Speaker 1: Here she is, you know, I'm talking about Greta Thunberg

1194
01:08:06,760 --> 01:08:11,120
Speaker 1: play six. Listened to science and listen to the experts,

1195
01:08:12,280 --> 01:08:15,480
Speaker 1: and that of course not only goes for the Corona crisis,

1196
01:08:16,120 --> 01:08:21,000
Speaker 1: but also all crises, for example, the climate crisis and

1197
01:08:21,160 --> 01:08:26,280
Speaker 1: the ecological crisis, which of course is still ongoing. Yes,

1198
01:08:26,880 --> 01:08:30,320
Speaker 1: got to tie those things together. Listen to the scientists.

1199
01:08:30,439 --> 01:08:33,160
Speaker 1: Thank you, Gretafortelli's listening to the scientists. What are the

1200
01:08:33,200 --> 01:08:36,720
Speaker 1: scientists telling us about how we reopen our society and

1201
01:08:37,040 --> 01:08:39,160
Speaker 1: how we go back to life? Oh you mean that's

1202
01:08:39,200 --> 01:08:42,639
Speaker 1: not a scientific question, that's a societal question. That's something

1203
01:08:42,680 --> 01:08:45,360
Speaker 1: that we have to just. I just it's amazing, isn't it.

1204
01:08:45,479 --> 01:08:48,479
Speaker 1: They still they have I think she's sixteen or seventeen.

1205
01:08:48,560 --> 01:08:51,200
Speaker 1: Now you can't. You can't make fun of her until

1206
01:08:51,240 --> 01:08:55,200
Speaker 1: she's eighteen. Then you're allowed. I think technically you're allowed,

1207
01:08:55,200 --> 01:08:57,439
Speaker 1: because then she's an adult. Then I think you're allowed.

1208
01:08:57,479 --> 01:09:00,160
Speaker 1: And she's being her opinion is being foisted upon. She's

1209
01:09:00,200 --> 01:09:02,040
Speaker 1: not a private citizen, she's not somebody who's just trying

1210
01:09:02,040 --> 01:09:03,200
Speaker 1: to live her life. You know, we don't make fun

1211
01:09:03,240 --> 01:09:05,280
Speaker 1: of private citizens who are just trying to go about

1212
01:09:05,280 --> 01:09:09,439
Speaker 1: their business. But for now, it's Oh, she's a kid,

1213
01:09:09,560 --> 01:09:12,040
Speaker 1: but we should all listen to her. It's one of

1214
01:09:12,080 --> 01:09:14,439
Speaker 1: the more amazing, one of the more amazing disconnects that

1215
01:09:14,439 --> 01:09:15,920
Speaker 1: I've seen among lives, and there's a lot of them.

1216
01:09:16,000 --> 01:09:19,920
Speaker 1: Right we're talking about their disconnect with justice over the

1217
01:09:19,960 --> 01:09:22,960
Speaker 1: general Flint case. They're disconnected over the double standard that

1218
01:09:23,320 --> 01:09:27,680
Speaker 1: so slap you in the face obvious about this Joe

1219
01:09:27,760 --> 01:09:31,040
Speaker 1: Biden situation versus Kavanaugh, and even some of what they

1220
01:09:31,120 --> 01:09:34,200
Speaker 1: said about Trump, although to this day, what was what's

1221
01:09:34,240 --> 01:09:37,280
Speaker 1: the credible People have always said that Trump sexually assaults people?

1222
01:09:37,560 --> 01:09:40,599
Speaker 1: Liberals will say this, what's the credible sexual assault allegation?

1223
01:09:40,680 --> 01:09:44,800
Speaker 1: Again from whom and in what circumstance? Oh, he said

1224
01:09:44,840 --> 01:09:47,759
Speaker 1: that they let you grab. Okay, well, he's just talking

1225
01:09:47,800 --> 01:09:50,800
Speaker 1: about being a celebrity who can be aggressive sexually with

1226
01:09:50,920 --> 01:09:54,040
Speaker 1: women who let him do that. That's not sexual assault.

1227
01:09:54,760 --> 01:09:58,360
Speaker 1: What exactly is the you know you hear this? It's

1228
01:09:58,400 --> 01:10:00,920
Speaker 1: thrown around all there's you know all I've heard numbers,

1229
01:10:00,960 --> 01:10:03,200
Speaker 1: two large numbers they say of women that say, oh, well,

1230
01:10:03,200 --> 01:10:07,720
Speaker 1: it turns out that there isn't one, is there? But

1231
01:10:08,720 --> 01:10:10,760
Speaker 1: the media reported on it. Oh there was that. The

1232
01:10:10,840 --> 01:10:13,280
Speaker 1: one woman who wrote the book and then went on TV,

1233
01:10:13,400 --> 01:10:16,960
Speaker 1: and everyone realized that she's emotionally unwell, and then they

1234
01:10:17,080 --> 01:10:20,360
Speaker 1: dropped that right then, they dropped that situation pretty quickly.

1235
01:10:21,680 --> 01:10:25,000
Speaker 1: But we keep seeing this the the double standards that

1236
01:10:25,360 --> 01:10:29,439
Speaker 1: are really a necessity for liberalism in the current context

1237
01:10:29,560 --> 01:10:32,639
Speaker 1: because it's so desperate for power all the time, Because

1238
01:10:32,680 --> 01:10:36,120
Speaker 1: that really is the psychology and the magne collective emotion

1239
01:10:36,560 --> 01:10:41,640
Speaker 1: and emotional and psychological state of contemporary liberalism is a

1240
01:10:41,880 --> 01:10:45,519
Speaker 1: constant relativism in search of power and authority over others.

1241
01:10:46,280 --> 01:10:48,920
Speaker 1: That's that's really what it is. That's if you if

1242
01:10:48,960 --> 01:10:51,040
Speaker 1: you boil it down, if you take it at its core,

1243
01:10:51,520 --> 01:10:52,800
Speaker 1: and that means that there's going to be a lot

1244
01:10:52,800 --> 01:10:54,240
Speaker 1: of double standard there's going to be a lot of

1245
01:10:55,160 --> 01:10:57,920
Speaker 1: shifting goal posts, and we see a lot we see

1246
01:10:57,960 --> 01:11:00,040
Speaker 1: that happening right now. Oh, we got my friend and

1247
01:11:00,200 --> 01:11:02,599
Speaker 1: Porter Stansbury in the house. He's going to be joining

1248
01:11:02,680 --> 01:11:04,559
Speaker 1: us here in just a moment to talk about what's

1249
01:11:04,560 --> 01:11:07,519
Speaker 1: going to happen with the economy. Basically, Porter's gonna answer

1250
01:11:07,560 --> 01:11:09,200
Speaker 1: the question for us. This is all he does is

1251
01:11:09,240 --> 01:11:12,719
Speaker 1: look at this and try to make good investment ideas

1252
01:11:13,240 --> 01:11:17,439
Speaker 1: for his for his subscribers. Where is the economy head

1253
01:11:17,479 --> 01:11:19,680
Speaker 1: from here. Porter Stansbury will answer that one for us

1254
01:11:19,720 --> 01:11:22,320
Speaker 1: in just a moment. Thanks for listening to The Bus

1255
01:11:22,400 --> 01:11:26,479
Speaker 1: Sesson Show podcasts. Remember to subscribe on Apple Podcasts, the

1256
01:11:26,560 --> 01:11:31,320
Speaker 1: iHeart Radio app, or wherever you get your podcasts. Okay, team,

1257
01:11:31,360 --> 01:11:34,080
Speaker 1: we know the economy is in tough shape right now.

1258
01:11:34,240 --> 01:11:36,120
Speaker 1: Let's putting it mildly, So I want to bring somebody

1259
01:11:36,160 --> 01:11:38,800
Speaker 1: on who just looks at the economy and markets all

1260
01:11:38,840 --> 01:11:41,519
Speaker 1: the time, has been doing so for decades, and actually

1261
01:11:41,560 --> 01:11:43,680
Speaker 1: really knows what the heck he's talking about. We've got

1262
01:11:43,800 --> 01:11:48,599
Speaker 1: mister Porter Stansbury with us, the founder of Stansbury Research,

1263
01:11:48,960 --> 01:11:51,160
Speaker 1: which I write for. I've done a podcast with Porter

1264
01:11:51,280 --> 01:11:54,240
Speaker 1: in the past. They've also sponsored some of our radio

1265
01:11:54,880 --> 01:11:57,800
Speaker 1: radio spots. So Porter, great to have you on. Great

1266
01:11:58,120 --> 01:11:59,960
Speaker 1: with you as always, Budd. All right, let's just start.

1267
01:12:00,080 --> 01:12:05,160
Speaker 1: Were this thirty million roughly unemployed officially unemployed at this point,

1268
01:12:05,240 --> 01:12:08,680
Speaker 1: that's that's pretty much where the number is. What is

1269
01:12:08,720 --> 01:12:10,800
Speaker 1: going on right now at the US economy? And how

1270
01:12:10,920 --> 01:12:14,800
Speaker 1: concerned are you about what's happening? I'm I think I'm

1271
01:12:14,880 --> 01:12:19,160
Speaker 1: probably among the least concerned people who look at the

1272
01:12:19,280 --> 01:12:22,599
Speaker 1: numbers and things, because you know, if you just look

1273
01:12:22,640 --> 01:12:25,080
Speaker 1: at the numbers. I think you're really going to be

1274
01:12:25,200 --> 01:12:28,800
Speaker 1: led astray. If we had had thirty million people unemployed

1275
01:12:29,600 --> 01:12:33,160
Speaker 1: because there was a real estate bubble, or because there

1276
01:12:33,280 --> 01:12:37,320
Speaker 1: was a collapse of industrial demand, or you know, a

1277
01:12:37,400 --> 01:12:39,920
Speaker 1: trade war with China that had really spun out of control.

1278
01:12:40,760 --> 01:12:43,320
Speaker 1: I think that's a far different circumstance than saying, hey,

1279
01:12:43,439 --> 01:12:46,040
Speaker 1: guess what when nobody can go out to eat, When

1280
01:12:46,080 --> 01:12:49,960
Speaker 1: nobody can go shopping, every single person who's employed in restaurants,

1281
01:12:50,080 --> 01:12:52,960
Speaker 1: food service, or retail is going to lose their jobs.

1282
01:12:53,760 --> 01:12:57,960
Speaker 1: And that's what's happened. So I think the more important question,

1283
01:12:58,040 --> 01:13:00,320
Speaker 1: and the unknown question, is what will happen in six

1284
01:13:00,360 --> 01:13:02,920
Speaker 1: months from now with that number. And if the answer

1285
01:13:03,080 --> 01:13:06,000
Speaker 1: is that number drops from thirty million to ten million,

1286
01:13:06,360 --> 01:13:08,000
Speaker 1: I think our economy is going to be just fine.

1287
01:13:08,760 --> 01:13:12,920
Speaker 1: If the answer is the FED keeps spending tons and

1288
01:13:13,080 --> 01:13:16,639
Speaker 1: tons and tons of borrowed money and makes unemployment checks

1289
01:13:16,760 --> 01:13:18,840
Speaker 1: very attractive and people don't want to go back to work,

1290
01:13:19,280 --> 01:13:23,880
Speaker 1: then welcome to permanent socialism in America. And I think

1291
01:13:23,960 --> 01:13:27,840
Speaker 1: the bigger risk is that the bigger risk to me

1292
01:13:28,040 --> 01:13:31,719
Speaker 1: is not economic. The bigger risk is political. What happens

1293
01:13:31,760 --> 01:13:35,080
Speaker 1: in the future because of how much power the government

1294
01:13:35,200 --> 01:13:38,000
Speaker 1: is exercising now and the role that it has taken

1295
01:13:38,040 --> 01:13:41,519
Speaker 1: to play in the lives of millions and millions of citizens.

1296
01:13:42,240 --> 01:13:45,639
Speaker 1: What about some of the major industries, and some industries

1297
01:13:45,720 --> 01:13:48,560
Speaker 1: really people think of as just either one company or

1298
01:13:48,640 --> 01:13:51,360
Speaker 1: a handful of companies, or the airline industry, for example,

1299
01:13:52,040 --> 01:13:56,160
Speaker 1: the aerospason defense sector with Boeing. What's going to happen

1300
01:13:56,360 --> 01:14:00,200
Speaker 1: to those to those different sectors of the econom me

1301
01:14:00,479 --> 01:14:03,080
Speaker 1: for which tens of thousands, hundreds of thousands of jobs

1302
01:14:03,160 --> 01:14:06,679
Speaker 1: are dependent. How do you see that playing out, certainly

1303
01:14:06,720 --> 01:14:09,040
Speaker 1: over the next six months. You know, I'm in the

1304
01:14:09,120 --> 01:14:13,120
Speaker 1: camp buck that that really sees the economy coming roaring back.

1305
01:14:15,040 --> 01:14:17,479
Speaker 1: The steps that the government has taken in terms of

1306
01:14:17,640 --> 01:14:21,240
Speaker 1: the amount of money they're pushing into the economy is

1307
01:14:21,640 --> 01:14:24,760
Speaker 1: really incredible. I mean, there's this is a this is

1308
01:14:24,800 --> 01:14:27,799
Speaker 1: going to end up being a multi trillion dollars stimulus package,

1309
01:14:28,640 --> 01:14:31,599
Speaker 1: and I know that that there will be enormous amounts

1310
01:14:31,640 --> 01:14:34,360
Speaker 1: of pent up demand as a result. I mean, people

1311
01:14:34,400 --> 01:14:36,960
Speaker 1: haven't been able to leave their homes now and more

1312
01:14:37,040 --> 01:14:39,320
Speaker 1: than thirty days in my case, it's been about sixty days.

1313
01:14:40,000 --> 01:14:44,120
Speaker 1: And you know, everyone's booking travel, everyone's making plans for

1314
01:14:44,200 --> 01:14:46,080
Speaker 1: the summer in the fall. Everyone wants to get back

1315
01:14:46,120 --> 01:14:50,160
Speaker 1: to life. And so I think that you're you know again,

1316
01:14:50,880 --> 01:14:53,160
Speaker 1: I really do believe that the economy will come back

1317
01:14:53,360 --> 01:14:56,679
Speaker 1: very very quickly. I'm very bullish on the second half

1318
01:14:56,720 --> 01:14:59,719
Speaker 1: of this year. And I think this is just an opinion.

1319
01:14:59,760 --> 01:15:02,479
Speaker 1: I'm I'm obviously not a medical doctor, but I think

1320
01:15:02,520 --> 01:15:05,960
Speaker 1: that the response to the virus has been what's caused

1321
01:15:06,000 --> 01:15:09,800
Speaker 1: the bigger problem. Um, you know, it's not unusual for

1322
01:15:09,920 --> 01:15:12,720
Speaker 1: sixty to eighty thousand people a year to die of

1323
01:15:13,400 --> 01:15:17,040
Speaker 1: flu and pneumonia, So so you think this was I

1324
01:15:17,080 --> 01:15:19,439
Speaker 1: think you think this was an overreaction for her. That's

1325
01:15:19,520 --> 01:15:22,240
Speaker 1: I mean, from a policy standpoint, I think that's the

1326
01:15:22,280 --> 01:15:25,360
Speaker 1: bigger story here. Frankly, I honestly believe, but that the

1327
01:15:25,439 --> 01:15:28,560
Speaker 1: economy will be just fine. Uh. You know, when you

1328
01:15:29,040 --> 01:15:31,760
Speaker 1: there's a I see there's a giant different tree and

1329
01:15:31,840 --> 01:15:36,720
Speaker 1: hitting a pause button and seeing things like a real

1330
01:15:36,840 --> 01:15:40,040
Speaker 1: decline in consumer demand or seeing a rise in bankruptcy

1331
01:15:40,160 --> 01:15:43,280
Speaker 1: that was organic, you know, this is a very very

1332
01:15:43,439 --> 01:15:46,160
Speaker 1: very different kind of recession that we're having. It's it's

1333
01:15:46,240 --> 01:15:50,680
Speaker 1: not organic, it's not it's not basing economics. It's completely

1334
01:15:50,800 --> 01:15:54,519
Speaker 1: a political problem. And I truly believe that when you

1335
01:15:54,640 --> 01:15:59,120
Speaker 1: allow the politicians to run over the constitution and to

1336
01:15:59,560 --> 01:16:02,840
Speaker 1: decide for every individual how much risk they should take

1337
01:16:02,920 --> 01:16:05,640
Speaker 1: with their own health, you've lost something that's way more

1338
01:16:05,680 --> 01:16:08,600
Speaker 1: important than money. You've lost liberty. You've lost freedom. And

1339
01:16:09,000 --> 01:16:11,960
Speaker 1: again that's my concern. The government's going to print up

1340
01:16:11,960 --> 01:16:13,519
Speaker 1: a ton of money. We're going to get through this

1341
01:16:13,640 --> 01:16:15,920
Speaker 1: bump in the road. The economy is going to curboring back,

1342
01:16:16,080 --> 01:16:19,000
Speaker 1: employment's going to surge in the third quarter of this year.

1343
01:16:19,360 --> 01:16:22,839
Speaker 1: Those things are very obvious to me. What isn't obvious

1344
01:16:23,000 --> 01:16:26,919
Speaker 1: is how long the government's going to going to accligate

1345
01:16:26,960 --> 01:16:32,400
Speaker 1: dictatorship and when will, if ever, will the government admit

1346
01:16:32,680 --> 01:16:35,439
Speaker 1: that a lot of the strategies that they have used

1347
01:16:35,479 --> 01:16:39,320
Speaker 1: over the past two months were enormously expensive and completely

1348
01:16:39,880 --> 01:16:42,920
Speaker 1: medically unnecessary. You know, there's been some great work that's

1349
01:16:42,960 --> 01:16:46,280
Speaker 1: come out that shows how much more widespread the virus

1350
01:16:46,680 --> 01:16:49,560
Speaker 1: has become, how many people didn't have any symptoms, and

1351
01:16:50,000 --> 01:16:54,280
Speaker 1: what role obesity and other health problems have played, and

1352
01:16:54,439 --> 01:16:58,439
Speaker 1: the fact that this virus is fatal in some cases.

1353
01:16:58,920 --> 01:17:00,639
Speaker 1: But I bet you by the time I'm the data

1354
01:17:00,760 --> 01:17:04,840
Speaker 1: comes in that we will discover that this coronavirus is

1355
01:17:05,000 --> 01:17:09,240
Speaker 1: no different or more dangerous than any other coronavirus that

1356
01:17:09,439 --> 01:17:13,160
Speaker 1: typically circulates among human beings. What was bad about it

1357
01:17:13,280 --> 01:17:15,840
Speaker 1: was that nobody had any native immunity, and so a

1358
01:17:15,920 --> 01:17:17,840
Speaker 1: whole lot of people got sick at the same time.

1359
01:17:18,040 --> 01:17:20,840
Speaker 1: And yeah, that's a big problem. It is, But it

1360
01:17:20,960 --> 01:17:23,320
Speaker 1: doesn't mean that I'm going to die if I leave

1361
01:17:23,400 --> 01:17:26,920
Speaker 1: my house and catch this virus. If you're under the

1362
01:17:26,960 --> 01:17:29,479
Speaker 1: age of fifty, if you're in reasonably good at health,

1363
01:17:29,520 --> 01:17:31,320
Speaker 1: you really don't have any to worry about. So why

1364
01:17:31,320 --> 01:17:33,400
Speaker 1: should the government tell me I can't leave my home?

1365
01:17:33,640 --> 01:17:36,000
Speaker 1: It makes no sense. And who is a better Who

1366
01:17:36,160 --> 01:17:38,639
Speaker 1: is a better judge of that, Me and my doctor

1367
01:17:39,240 --> 01:17:41,639
Speaker 1: or the governor of my state. I mean, I think

1368
01:17:41,680 --> 01:17:45,200
Speaker 1: the answer to so obvious that this is such an

1369
01:17:45,320 --> 01:17:49,720
Speaker 1: unbelievable overreaction that I think is the bigger issue. Can

1370
01:17:50,360 --> 01:17:55,120
Speaker 1: our government ever really look back at these measures and

1371
01:17:55,520 --> 01:17:59,320
Speaker 1: do a better job next time, Because my big concern

1372
01:17:59,560 --> 01:18:02,200
Speaker 1: is is not that the economy can't come back. My

1373
01:18:02,320 --> 01:18:05,200
Speaker 1: big concern is that there will be a change in

1374
01:18:05,320 --> 01:18:08,720
Speaker 1: the political dynamics. There will be winners and losers from

1375
01:18:08,800 --> 01:18:11,320
Speaker 1: these measures, and the people who are winners from these

1376
01:18:11,360 --> 01:18:13,880
Speaker 1: measures are going to insist on taking them again. We've

1377
01:18:13,880 --> 01:18:16,120
Speaker 1: already started to see, you've already started to see some

1378
01:18:16,200 --> 01:18:20,479
Speaker 1: of the prominent Democrat politicians are letting it out that

1379
01:18:20,600 --> 01:18:24,360
Speaker 1: they view this as an opportunity to change things dramatically

1380
01:18:24,400 --> 01:18:26,559
Speaker 1: in this country, not just while the virus is out

1381
01:18:26,600 --> 01:18:28,519
Speaker 1: there and to get us back on our feet, but

1382
01:18:28,680 --> 01:18:32,280
Speaker 1: to change things for the foreseeable, to alter the course

1383
01:18:32,320 --> 01:18:35,679
Speaker 1: of America economically and politically. I'm assuming you've you've seen

1384
01:18:35,800 --> 01:18:39,040
Speaker 1: some of those early indicators too. Yeah, of course, And listen,

1385
01:18:39,080 --> 01:18:41,680
Speaker 1: there's plenty of real world examples. There are plenty of

1386
01:18:41,800 --> 01:18:45,360
Speaker 1: places that didn't shut down their economy. You know, there's Japan,

1387
01:18:45,520 --> 01:18:49,120
Speaker 1: there's Singapore, there's Sweden, there's Iceland. There's plenty of places

1388
01:18:49,200 --> 01:18:52,040
Speaker 1: that handle this in a different way. And we're not

1389
01:18:52,200 --> 01:18:55,000
Speaker 1: going to see any additional mortality in those other places.

1390
01:18:55,120 --> 01:18:58,280
Speaker 1: We are not going to see that because this virus

1391
01:18:58,560 --> 01:19:01,880
Speaker 1: is not fatal to one who's in relatively good health.

1392
01:19:02,600 --> 01:19:04,680
Speaker 1: And if you look at the numbers of people who

1393
01:19:04,760 --> 01:19:07,519
Speaker 1: have died, what percentage of them we're already in nursing homes.

1394
01:19:07,840 --> 01:19:11,479
Speaker 1: It's like twenty five and you know, I'm sorry, but

1395
01:19:11,600 --> 01:19:14,000
Speaker 1: those people were out the door anyways. They weren't going

1396
01:19:14,080 --> 01:19:16,280
Speaker 1: to stay with us no matter what. They would have

1397
01:19:16,400 --> 01:19:19,680
Speaker 1: died from a regular virus, they would have died from pneumonia.

1398
01:19:19,760 --> 01:19:22,240
Speaker 1: They would have died because they're old and sick. And

1399
01:19:22,400 --> 01:19:25,720
Speaker 1: that's tragic. But it doesn't it doesn't mean that we

1400
01:19:25,720 --> 01:19:28,080
Speaker 1: should all give up our liberties and our businesses and

1401
01:19:28,200 --> 01:19:30,840
Speaker 1: our and our our freedom. It makes no sense. Have

1402
01:19:30,960 --> 01:19:33,240
Speaker 1: you been. And if they can do if they can

1403
01:19:33,360 --> 01:19:37,479
Speaker 1: do this for a for a blue virus, then what

1404
01:19:37,680 --> 01:19:40,560
Speaker 1: are they gonna What is going to trigger them to

1405
01:19:40,640 --> 01:19:43,320
Speaker 1: do this next time? You know? Oh my gosh, there's

1406
01:19:43,320 --> 01:19:47,679
Speaker 1: a risk of an earthquake. The scientists say an earthquake

1407
01:19:47,800 --> 01:19:50,360
Speaker 1: is coming, No one leave their homes or whatever whatever

1408
01:19:50,439 --> 01:19:53,360
Speaker 1: the next pretext will be. And one more thing about

1409
01:19:53,360 --> 01:19:56,519
Speaker 1: about this. Think about the Battle of Britain. You know,

1410
01:19:56,640 --> 01:20:00,479
Speaker 1: back in the spring of forty one and the fall

1411
01:20:00,560 --> 01:20:04,960
Speaker 1: of nineteen forty, when you had Germans killing thousands of

1412
01:20:05,120 --> 01:20:09,160
Speaker 1: people every week with bombs. Right, this is a real

1413
01:20:09,320 --> 01:20:13,960
Speaker 1: threat to a country. Did the government of Great Britain

1414
01:20:14,479 --> 01:20:17,679
Speaker 1: mandate that everyone live in their basements all day long

1415
01:20:17,720 --> 01:20:19,840
Speaker 1: and not leaving the house because there was a real

1416
01:20:19,960 --> 01:20:22,000
Speaker 1: risk if you're walking around in the street, you're gonna die.

1417
01:20:22,400 --> 01:20:24,720
Speaker 1: In fact, it's happening to thousands of people every day,

1418
01:20:25,080 --> 01:20:27,800
Speaker 1: and it's not from a virus, it's from bombs. But

1419
01:20:27,960 --> 01:20:29,519
Speaker 1: what do they what did they do? How did they

1420
01:20:29,640 --> 01:20:34,200
Speaker 1: what happened in that situation? Everyone went to work, everyone

1421
01:20:34,360 --> 01:20:37,600
Speaker 1: went out to dinner. Everyone ignored it because there was

1422
01:20:37,680 --> 01:20:41,040
Speaker 1: nothing they could do about it except live their regular lives.

1423
01:20:41,400 --> 01:20:43,360
Speaker 1: And that's what we should have done from the start.

1424
01:20:44,000 --> 01:20:46,439
Speaker 1: And you know, if we had, then there would already

1425
01:20:46,479 --> 01:20:49,800
Speaker 1: be her immunity. There's probably something between fifteen and thirty

1426
01:20:49,880 --> 01:20:52,559
Speaker 1: percent of people in urban areas that have already gotten

1427
01:20:52,560 --> 01:20:56,800
Speaker 1: as virus. You know, they're not gonna We're not gonnall die.

1428
01:20:57,320 --> 01:20:59,720
Speaker 1: Let us go back to work. It's the biggest overreaction.

1429
01:21:00,479 --> 01:21:03,240
Speaker 1: And so then the real question is why who was

1430
01:21:03,360 --> 01:21:06,400
Speaker 1: winning politically by locking everyone in their homes? This is

1431
01:21:06,400 --> 01:21:08,120
Speaker 1: what I was going to ask you, So take that away.

1432
01:21:08,200 --> 01:21:11,080
Speaker 1: Why do you think this has happened? I really can't fathom.

1433
01:21:11,760 --> 01:21:14,640
Speaker 1: I just I think there are probably plenty of politicians

1434
01:21:14,720 --> 01:21:17,679
Speaker 1: who were scared and we're afraid that if they didn't

1435
01:21:17,720 --> 01:21:21,800
Speaker 1: do quote something, then if there was a bunch of

1436
01:21:22,080 --> 01:21:25,160
Speaker 1: mortality associated with this pandemic, that they would be seen

1437
01:21:25,280 --> 01:21:29,639
Speaker 1: in history as you know, uncaring fools. So I think

1438
01:21:29,680 --> 01:21:33,560
Speaker 1: there's always the preset tendency is the government has to

1439
01:21:33,640 --> 01:21:37,640
Speaker 1: do something to justify, you know, its existence, and so

1440
01:21:37,800 --> 01:21:41,639
Speaker 1: they're probably going to error always on doing quote unquote something.

1441
01:21:42,320 --> 01:21:44,599
Speaker 1: But how crazy is it that they would that they

1442
01:21:44,640 --> 01:21:52,560
Speaker 1: would mandate this extreme reaction when they didn't even have data, like,

1443
01:21:52,680 --> 01:21:56,040
Speaker 1: at the very least take a random sample of population,

1444
01:21:56,280 --> 01:22:00,280
Speaker 1: understand what the viral impact has already been. And the

1445
01:22:00,360 --> 01:22:02,160
Speaker 1: models were wrong, as we know now. But they tell

1446
01:22:02,240 --> 01:22:04,839
Speaker 1: us that the models that were used to justify the shutdown,

1447
01:22:04,920 --> 01:22:06,880
Speaker 1: it doesn't matter that they were wrong. That's that's the

1448
01:22:07,000 --> 01:22:09,080
Speaker 1: latest theory that we're all supposed to live under. Porter,

1449
01:22:09,160 --> 01:22:10,640
Speaker 1: I need, I need to take a quick pause here,

1450
01:22:10,680 --> 01:22:12,120
Speaker 1: will come right back with you. I want to ask

1451
01:22:12,479 --> 01:22:15,680
Speaker 1: about what should folks that are being hit economically right

1452
01:22:15,760 --> 01:22:17,760
Speaker 1: now by this, what should they be thinking about? What

1453
01:22:17,840 --> 01:22:21,200
Speaker 1: should they be doing? Founder of Stansbury Research, Porter Stansbury.

1454
01:22:21,240 --> 01:22:22,759
Speaker 1: More with him when we come back in a second.

1455
01:22:25,400 --> 01:22:28,400
Speaker 1: You're in the Freedom Hunt. This is the Buck Sexton

1456
01:22:28,439 --> 01:22:35,719
Speaker 1: Show podcast Okay, we've got the founder of Stansbury Research,

1457
01:22:35,880 --> 01:22:38,760
Speaker 1: the one and only mister Porter Stansbury with us. So, Porter,

1458
01:22:39,040 --> 01:22:42,200
Speaker 1: you're you're bullish for the long term here for America.

1459
01:22:42,360 --> 01:22:44,120
Speaker 1: You were saying before you think that we will be

1460
01:22:44,160 --> 01:22:46,320
Speaker 1: able to bounce back, which I think is honestly really

1461
01:22:46,439 --> 01:22:49,320
Speaker 1: encouraging to the people all across the country who are

1462
01:22:49,360 --> 01:22:51,120
Speaker 1: listening to this. But I want to ask you though,

1463
01:22:51,160 --> 01:22:53,960
Speaker 1: in the in the short term, for folks who are

1464
01:22:54,200 --> 01:22:58,080
Speaker 1: either hurting badly economically or who want to get prepared, Well,

1465
01:22:58,160 --> 01:23:00,240
Speaker 1: let's start with the folks who were hurting. What would

1466
01:23:00,240 --> 01:23:02,160
Speaker 1: you do or how would you advise someone who's operating

1467
01:23:02,160 --> 01:23:04,760
Speaker 1: a small business right now? Would you tell them I'm

1468
01:23:04,760 --> 01:23:07,439
Speaker 1: trying to open as soon as possible, you know, how

1469
01:23:07,520 --> 01:23:11,200
Speaker 1: can they try to prepare their finances and their economic

1470
01:23:11,360 --> 01:23:14,160
Speaker 1: future given the uncertainty we're facing. Well, you know, I've

1471
01:23:14,160 --> 01:23:16,519
Speaker 1: seen a lot of small business owners doing a lot

1472
01:23:16,640 --> 01:23:19,960
Speaker 1: of very smart things. There are some folks, um you know,

1473
01:23:20,040 --> 01:23:22,720
Speaker 1: I'm here today at my farm in Baltimore County, but

1474
01:23:22,800 --> 01:23:27,599
Speaker 1: I also have a penthouse apartment downtown and walking around

1475
01:23:27,640 --> 01:23:31,000
Speaker 1: downtown Baltimore, I was I was so happy to see

1476
01:23:31,160 --> 01:23:35,120
Speaker 1: how many small bars and restaurants have basically set set

1477
01:23:35,200 --> 01:23:42,080
Speaker 1: up outdoor gardens where people are congregating and enjoying food

1478
01:23:42,280 --> 01:23:45,840
Speaker 1: and booze and socializing. Now they're you know, they might

1479
01:23:45,880 --> 01:23:47,800
Speaker 1: be standing a little bit more further apart than they

1480
01:23:47,880 --> 01:23:50,360
Speaker 1: ordinarily would. But there are a lot of business owners

1481
01:23:50,439 --> 01:23:54,280
Speaker 1: have found ways to flow out the wall and the regulations.

1482
01:23:54,400 --> 01:23:58,320
Speaker 1: And I'm, i'm, i'm, I think that's great. I'm I'm.

1483
01:23:58,520 --> 01:24:00,320
Speaker 1: You know, my business, I wouldn't describe it as small,

1484
01:24:00,400 --> 01:24:03,519
Speaker 1: but I think there's lots of entrepreneurial things that we

1485
01:24:03,560 --> 01:24:05,960
Speaker 1: can do. For example, I'm making a T shirt that

1486
01:24:06,080 --> 01:24:10,559
Speaker 1: says your mask and as an American flag on the back.

1487
01:24:11,120 --> 01:24:15,480
Speaker 1: You know, the consumer demand is going to change relative

1488
01:24:15,600 --> 01:24:19,880
Speaker 1: to where we are in this pandemic process. But anything

1489
01:24:20,000 --> 01:24:22,000
Speaker 1: you can do to serve your customers, anything you can

1490
01:24:22,080 --> 01:24:26,760
Speaker 1: do to find ways around the regulations, and then you

1491
01:24:26,880 --> 01:24:29,439
Speaker 1: have to do And I think that the good business

1492
01:24:29,479 --> 01:24:31,800
Speaker 1: owners have already done that. They've already they're way ahead

1493
01:24:31,800 --> 01:24:34,160
Speaker 1: of us. But a guy I know in town who

1494
01:24:34,200 --> 01:24:37,639
Speaker 1: makes custom clothing, nobody's ordering custom clothing right now because

1495
01:24:37,640 --> 01:24:40,599
Speaker 1: no one's even going into the office. So he went

1496
01:24:40,640 --> 01:24:43,799
Speaker 1: through his contacts in China and began making designer masks,

1497
01:24:44,040 --> 01:24:46,360
Speaker 1: you know, and he's selling them like hot cakes. So

1498
01:24:46,760 --> 01:24:49,720
Speaker 1: there's lots of there's lots of ways to stay in

1499
01:24:49,880 --> 01:24:52,040
Speaker 1: business if you will be creative and if you will

1500
01:24:52,120 --> 01:24:55,080
Speaker 1: meet the market demand where it is today. And what

1501
01:24:55,160 --> 01:24:58,160
Speaker 1: do you say to our listeners right now who are

1502
01:24:58,240 --> 01:25:01,000
Speaker 1: seeing where they're well, they're seeing where they're four oh

1503
01:25:01,040 --> 01:25:03,200
Speaker 1: one k is and it's it's obviously for a lot

1504
01:25:03,240 --> 01:25:05,680
Speaker 1: of folks down a bid from where it was a

1505
01:25:06,200 --> 01:25:09,320
Speaker 1: few months ago. But this does bring up an interesting thing.

1506
01:25:09,360 --> 01:25:11,640
Speaker 1: People are scared about what the market will do, but

1507
01:25:11,800 --> 01:25:15,120
Speaker 1: port in the market hasn't really crashed the way that

1508
01:25:15,280 --> 01:25:17,160
Speaker 1: if you had told somebody we had a pandemic or

1509
01:25:17,240 --> 01:25:20,040
Speaker 1: everyone's locked at home, they would have guessed. I think.

1510
01:25:20,120 --> 01:25:22,400
Speaker 1: I mean, it seems almost like the market is frozen

1511
01:25:22,479 --> 01:25:25,080
Speaker 1: in place in some ways right now. What should people

1512
01:25:25,120 --> 01:25:27,280
Speaker 1: be concerned or should they just ride it out? Well,

1513
01:25:27,640 --> 01:25:29,400
Speaker 1: I don't know if you'll remember or not, but on

1514
01:25:29,880 --> 01:25:35,040
Speaker 1: March twenty fourth, we had a conference, an online conference

1515
01:25:35,080 --> 01:25:38,719
Speaker 1: for ours, for our clients, for our subscribers at Stansbury Research,

1516
01:25:39,320 --> 01:25:41,760
Speaker 1: and I got with our analytical team and we put

1517
01:25:41,840 --> 01:25:46,120
Speaker 1: together I believe it's forty different stocks to forty large

1518
01:25:46,200 --> 01:25:49,519
Speaker 1: businesses that we said at that time, this is the

1519
01:25:49,600 --> 01:25:52,880
Speaker 1: greatest opportunity in your lifetime. You'll have to buy these businesses,

1520
01:25:53,320 --> 01:25:56,280
Speaker 1: and we recommend that you began buying them, even though

1521
01:25:56,320 --> 01:25:59,240
Speaker 1: the market hasn't shown any sign of bottoming. Right at

1522
01:25:59,280 --> 01:26:02,600
Speaker 1: that point that I was down almost forty percent, and

1523
01:26:02,720 --> 01:26:06,040
Speaker 1: so that was a really dire time. Meanwhile, what I

1524
01:26:06,160 --> 01:26:09,559
Speaker 1: saw was you can buy American Express at seven times earnings.

1525
01:26:10,160 --> 01:26:11,880
Speaker 1: I saw you could buy Coola Cole with a four

1526
01:26:11,960 --> 01:26:15,439
Speaker 1: percent dividend. Are these are opportunities that I had never

1527
01:26:15,560 --> 01:26:18,640
Speaker 1: seen in my entire lifetime as a financial analyst. The

1528
01:26:18,720 --> 01:26:21,800
Speaker 1: ability to buy the world's best brands, the world's best

1529
01:26:21,880 --> 01:26:25,840
Speaker 1: business models, the world's best products at forty percent off.

1530
01:26:26,360 --> 01:26:28,639
Speaker 1: And you know, I'm not saying that the market wasn't

1531
01:26:28,640 --> 01:26:30,639
Speaker 1: a little bit overvalued at the start of this crisis,

1532
01:26:30,720 --> 01:26:34,000
Speaker 1: but it wasn't It wasn't, in my mind, m so

1533
01:26:34,240 --> 01:26:36,360
Speaker 1: overvalued that you had to, you know, you should be

1534
01:26:36,439 --> 01:26:42,559
Speaker 1: in cash. U So a forty percent decline from something

1535
01:26:42,640 --> 01:26:45,800
Speaker 1: that's very likely to be a two or three quarter

1536
01:26:45,960 --> 01:26:49,160
Speaker 1: impairment to earnings, that doesn't make any sense to me, Buck,

1537
01:26:49,479 --> 01:26:51,240
Speaker 1: And so that's why I was telling people to buy,

1538
01:26:51,960 --> 01:26:54,679
Speaker 1: and I think I think to a lesser extent, of course,

1539
01:26:54,680 --> 01:26:56,800
Speaker 1: because now the market is rallied twenty five or thirty

1540
01:26:56,840 --> 01:26:59,840
Speaker 1: percent from that from that point, but there are still

1541
01:27:00,200 --> 01:27:04,240
Speaker 1: great opportunities for long term investors. Now. Look, I can't

1542
01:27:04,280 --> 01:27:05,640
Speaker 1: tell you what the stock market's going to be a

1543
01:27:05,720 --> 01:27:07,320
Speaker 1: month from now. I can't tell you what stock market

1544
01:27:07,400 --> 01:27:09,200
Speaker 1: is going to be six months from now. But I

1545
01:27:09,280 --> 01:27:11,560
Speaker 1: can tell you that this pandemic is not going to

1546
01:27:11,640 --> 01:27:14,960
Speaker 1: wreck our economy. The risk is that it will wreck.

1547
01:27:16,040 --> 01:27:20,240
Speaker 1: The risk to our economy is political, not financial. The

1548
01:27:20,320 --> 01:27:24,160
Speaker 1: amount of liquidity and loans and money that's being pumped

1549
01:27:24,160 --> 01:27:26,439
Speaker 1: into our economy is going to cause us to have

1550
01:27:26,520 --> 01:27:30,280
Speaker 1: a very very strong recovery. And I would be willing

1551
01:27:30,280 --> 01:27:32,840
Speaker 1: to bet you that twelve months from now there is

1552
01:27:32,960 --> 01:27:36,800
Speaker 1: no impairment whatsoever to the earnings of any major, high

1553
01:27:36,880 --> 01:27:40,800
Speaker 1: quality blueshift American company. That's very positive stuff. So that's

1554
01:27:40,880 --> 01:27:42,760
Speaker 1: that's good to hear. How are you doing? Pour it

1555
01:27:42,800 --> 01:27:45,040
Speaker 1: down there? Brother? How are you riding out this whole situation?

1556
01:27:45,160 --> 01:27:47,400
Speaker 1: You said you've been in almost sixty days of quarantine.

1557
01:27:47,760 --> 01:27:50,160
Speaker 1: How are you keeping busy? Well, you know, luckily there's

1558
01:27:50,200 --> 01:27:53,519
Speaker 1: lots to do for my company. We all it's not

1559
01:27:53,600 --> 01:27:55,800
Speaker 1: hard for us to work from home. We all have laptops.

1560
01:27:56,120 --> 01:27:59,320
Speaker 1: We issue laptops to all of our employees in early

1561
01:27:59,479 --> 01:28:02,639
Speaker 1: March February and anticipation that something like this might occur.

1562
01:28:03,200 --> 01:28:06,160
Speaker 1: So we've been serving our clients just like we always do,

1563
01:28:06,640 --> 01:28:10,920
Speaker 1: producing research, making recommendations following the results of the different

1564
01:28:11,439 --> 01:28:14,760
Speaker 1: recommended businesses that we track and endorse. We've put out

1565
01:28:14,800 --> 01:28:17,880
Speaker 1: a new portfolio to help investors, the Forever Portfolio that

1566
01:28:17,920 --> 01:28:21,519
Speaker 1: I mentioned, forty stocks, and really the opportunity to buy

1567
01:28:21,560 --> 01:28:25,040
Speaker 1: these businesses is very exciting for us. Obviously, this isn't

1568
01:28:25,080 --> 01:28:27,439
Speaker 1: the way that we hoped that we'd be able to

1569
01:28:27,520 --> 01:28:30,440
Speaker 1: serve our customers. We would have much rather the bollmarket

1570
01:28:30,520 --> 01:28:34,519
Speaker 1: simply continue and for everyone to keep going to work.

1571
01:28:35,000 --> 01:28:38,479
Speaker 1: But we met the market where it was, and so

1572
01:28:39,360 --> 01:28:42,920
Speaker 1: luckily things for me have been very good. And I

1573
01:28:43,040 --> 01:28:45,000
Speaker 1: have young children. I've got a twelve year old or

1574
01:28:45,040 --> 01:28:46,519
Speaker 1: nine year old, and I've gotten to spend a lot

1575
01:28:46,600 --> 01:28:48,759
Speaker 1: more time with them, which has actually been very enjoyable.

1576
01:28:49,160 --> 01:28:51,439
Speaker 1: We bought a couple extra dirt bikes here for the farm,

1577
01:28:51,560 --> 01:28:54,240
Speaker 1: so we've we've been teaching them how to write motorcycles.

1578
01:28:54,320 --> 01:28:57,080
Speaker 1: And we've been doing a lot of hunting. I've killed

1579
01:28:57,479 --> 01:29:00,920
Speaker 1: I don't know, maybe a dozen foxes. I gotta get it.

1580
01:29:01,160 --> 01:29:03,120
Speaker 1: I gotta get you. And Ted Nugin we had him

1581
01:29:03,160 --> 01:29:05,240
Speaker 1: on last week. He loves to talk about thinking, I

1582
01:29:05,280 --> 01:29:07,280
Speaker 1: gotta get you guys out at the same time. But

1583
01:29:07,600 --> 01:29:10,880
Speaker 1: ever you go, choke. I saw that fox that my

1584
01:29:11,120 --> 01:29:13,439
Speaker 1: my son traveler guy. Did you see how big it was?

1585
01:29:13,640 --> 01:29:15,519
Speaker 1: It looked like it looked like a like a like

1586
01:29:15,640 --> 01:29:17,640
Speaker 1: a tiger or something. It was huge. It was a

1587
01:29:17,720 --> 01:29:20,559
Speaker 1: big fox. It was the fox. It was over twenty pounds.

1588
01:29:20,560 --> 01:29:22,800
Speaker 1: It looked like a coyote. Was Yeah, I've never seen

1589
01:29:22,840 --> 01:29:25,320
Speaker 1: a so yeah, we've been actually having you know, we've

1590
01:29:25,360 --> 01:29:27,320
Speaker 1: been having a lot of fun here on the farm

1591
01:29:27,400 --> 01:29:30,000
Speaker 1: and business is going very well for us. And again

1592
01:29:30,200 --> 01:29:32,720
Speaker 1: this is not the way we would like to succeed um,

1593
01:29:33,040 --> 01:29:36,799
Speaker 1: but it's when people when we have crisises, people definitely

1594
01:29:36,920 --> 01:29:39,240
Speaker 1: need help with their finances. They need help to know

1595
01:29:39,320 --> 01:29:40,760
Speaker 1: what to do with their money, and we've been able

1596
01:29:40,800 --> 01:29:44,520
Speaker 1: to provide the information for them, fortunately very successful. Stansbury

1597
01:29:44,640 --> 01:29:46,920
Speaker 1: Research dot Com is the site folks go check out

1598
01:29:46,960 --> 01:29:49,599
Speaker 1: the Forever portfolio. You got the founder here, the big

1599
01:29:49,640 --> 01:29:52,360
Speaker 1: man himself, mister Porter Stansbury, the guy who began at all.

1600
01:29:52,720 --> 01:29:54,840
Speaker 1: Porter always great to talk to you. You stay safe

1601
01:29:54,880 --> 01:29:56,720
Speaker 1: and I will be in touch. Okay, well, thank you

1602
01:29:56,800 --> 01:29:59,280
Speaker 1: very much for having me. Thanks for listening to The

1603
01:29:59,439 --> 01:30:03,560
Speaker 1: bus Set Show podcasts. Remember to subscribe on Apple Podcasts,

1604
01:30:03,760 --> 01:30:06,760
Speaker 1: the iHeart Radio app, or wherever you get your podcasts

1605
01:30:08,120 --> 01:30:11,320
Speaker 1: roll Call time. But first I want to tell I

1606
01:30:11,360 --> 01:30:12,680
Speaker 1: want to tell you guys all something. You know what

1607
01:30:12,720 --> 01:30:15,080
Speaker 1: I watched last night. I actually watched it with the

1608
01:30:15,120 --> 01:30:17,840
Speaker 1: Snow Princess because she was in the movie. She's like,

1609
01:30:17,920 --> 01:30:19,840
Speaker 1: can we watch? And I said, let's go for it.

1610
01:30:20,200 --> 01:30:23,960
Speaker 1: We watched the original Jaws movie, which I kinda say,

1611
01:30:24,320 --> 01:30:26,840
Speaker 1: it's just such a classic. It's great when you really

1612
01:30:26,880 --> 01:30:29,240
Speaker 1: sit down and watch it. It's so well done. It

1613
01:30:29,439 --> 01:30:33,760
Speaker 1: holds up, it moves really well. Because they used the

1614
01:30:34,240 --> 01:30:36,080
Speaker 1: I think his name is Hank is what they called him,

1615
01:30:36,120 --> 01:30:41,240
Speaker 1: the you know, animatronic shark instead of an have CGI,

1616
01:30:41,400 --> 01:30:44,080
Speaker 1: so instead of a CGI shark. It just yeah, it

1617
01:30:44,160 --> 01:30:46,080
Speaker 1: doesn't look that real, but it looks real enough. And

1618
01:30:46,160 --> 01:30:48,680
Speaker 1: it's just much better the way they did it than

1619
01:30:48,720 --> 01:30:50,960
Speaker 1: if they had tried some kind of graphic imposition of

1620
01:30:51,040 --> 01:30:54,639
Speaker 1: a shark. So I as a producer, Mark, you've obviously

1621
01:30:54,680 --> 01:30:57,120
Speaker 1: seen it, right, Yes, of course. I think it's one

1622
01:30:57,160 --> 01:31:01,760
Speaker 1: of the great like cinematic classics of all time for

1623
01:31:02,280 --> 01:31:04,280
Speaker 1: enjoyment purposes. I'm not saying that it should have won

1624
01:31:04,320 --> 01:31:05,960
Speaker 1: all the Oscars or anything like that, but who cares

1625
01:31:05,960 --> 01:31:07,760
Speaker 1: about that. But if you're just looking for a great

1626
01:31:07,800 --> 01:31:11,200
Speaker 1: popcorn movie, I think it's fantastic. Yeah, And I'm very

1627
01:31:11,280 --> 01:31:14,200
Speaker 1: upset at Universal for getting rid of the ride at

1628
01:31:14,520 --> 01:31:16,680
Speaker 1: Universal Islands of Adventure, one of the one of the

1629
01:31:16,720 --> 01:31:19,920
Speaker 1: parks down in Orlando. It's gone one of the best rides.

1630
01:31:20,200 --> 01:31:22,080
Speaker 1: Had you Did you actually do that ride? Yeah? I did.

1631
01:31:22,120 --> 01:31:23,560
Speaker 1: When I was a kid. I lived in Florida for

1632
01:31:23,600 --> 01:31:25,080
Speaker 1: a period of time and we would go on school

1633
01:31:25,120 --> 01:31:27,600
Speaker 1: trips up there. So that was really fun. And I

1634
01:31:27,840 --> 01:31:30,760
Speaker 1: love the Jaws ride. It's really fun. Yeah, And you

1635
01:31:30,800 --> 01:31:34,280
Speaker 1: know they do some there's some great stuff um that

1636
01:31:34,400 --> 01:31:37,519
Speaker 1: they that they work into that script when they talk

1637
01:31:37,560 --> 01:31:43,040
Speaker 1: about the Matawan Creek shark attacks of nineteen sixteen, I

1638
01:31:43,120 --> 01:31:45,760
Speaker 1: think it is um. You know, there's a series of

1639
01:31:45,760 --> 01:31:47,240
Speaker 1: shore was actually the Jerseys. Do you know about this?

1640
01:31:47,280 --> 01:31:50,639
Speaker 1: Producer Mark? On the Jersey Shore and like I've heard

1641
01:31:50,640 --> 01:31:53,519
Speaker 1: of it. Yeah, Well they talk about it in They

1642
01:31:53,560 --> 01:31:57,800
Speaker 1: allude to it briefly in um in Jaws, and people

1643
01:31:57,880 --> 01:32:00,639
Speaker 1: say that it's really the inspiration Mobe Dick. Obviously there's

1644
01:32:00,640 --> 01:32:02,599
Speaker 1: a lot of parallels. People say with Moby Dick, katain

1645
01:32:02,640 --> 01:32:06,120
Speaker 1: Ahab is actually that guy Quinn. But the idea of

1646
01:32:06,240 --> 01:32:10,960
Speaker 1: a series of shark attacks shutting down a seaside community.

1647
01:32:11,280 --> 01:32:15,840
Speaker 1: It happened in Loose nineteen sixteen or nineteen eighteen in

1648
01:32:15,960 --> 01:32:18,639
Speaker 1: Manawan Creek, New Jersey. They had four people I think

1649
01:32:18,680 --> 01:32:20,760
Speaker 1: it was, who were attacked, and I think they all

1650
01:32:20,880 --> 01:32:23,880
Speaker 1: died in a period of a couple of days from

1651
01:32:23,920 --> 01:32:26,760
Speaker 1: shark attacks, and like right near each other. So there

1652
01:32:26,880 --> 01:32:28,920
Speaker 1: was a shark that was running wild, just eating people

1653
01:32:28,960 --> 01:32:31,120
Speaker 1: all over the place. They still to this day they

1654
01:32:31,200 --> 01:32:33,920
Speaker 1: think it might have been a bullshark because of the

1655
01:32:34,040 --> 01:32:37,720
Speaker 1: brackish water, you know, the mixture of salt, salt water

1656
01:32:37,880 --> 01:32:40,600
Speaker 1: and freshwater in this creek. And when you look at

1657
01:32:40,640 --> 01:32:43,559
Speaker 1: the photos of the creek where people were attacked, it's

1658
01:32:43,640 --> 01:32:45,760
Speaker 1: like a little river through a town. You would never

1659
01:32:45,920 --> 01:32:48,439
Speaker 1: think that there was a man eating shark that could

1660
01:32:48,560 --> 01:32:51,200
Speaker 1: in a million years be in there. So yeah, it's

1661
01:32:51,200 --> 01:32:55,639
Speaker 1: pretty cool. Fun talk, yes, very fun talk. Good story yeah,

1662
01:32:55,760 --> 01:32:58,760
Speaker 1: fun talk all right, roll call this Marks? Like Buck,

1663
01:32:58,800 --> 01:33:00,400
Speaker 1: you talk enough? Why don't you let the people who

1664
01:33:00,479 --> 01:33:02,800
Speaker 1: write in the kind people who take their time from

1665
01:33:02,880 --> 01:33:05,519
Speaker 1: Team Buck to write in. Usually it's just uh Poosi.

1666
01:33:05,600 --> 01:33:07,639
Speaker 1: Mark's great and he's so funny and yeah yeah yeah,

1667
01:33:08,360 --> 01:33:09,680
Speaker 1: where do we go? Here we all? Here we go,

1668
01:33:09,800 --> 01:33:14,720
Speaker 1: here we go. We have starting us off Terrence, Hey, Buck,

1669
01:33:14,760 --> 01:33:17,560
Speaker 1: wishing the best from here in South Korea where you

1670
01:33:17,600 --> 01:33:23,760
Speaker 1: are a morning show. Oh uh, I'm young Asia. I

1671
01:33:23,880 --> 01:33:29,720
Speaker 1: think that's close to saying I think that's hello. So

1672
01:33:29,880 --> 01:33:32,120
Speaker 1: I was pretty close. I remade a daily listen from

1673
01:33:32,120 --> 01:33:34,600
Speaker 1: back on the Saturday Blaze days. I know there are

1674
01:33:34,640 --> 01:33:37,320
Speaker 1: a lot of factors determining success in the COVID battle.

1675
01:33:37,720 --> 01:33:39,760
Speaker 1: Not sure what the specific thing is that Korea is

1676
01:33:39,800 --> 01:33:42,240
Speaker 1: doing right, but the results speak for themselves today shields

1677
01:33:42,280 --> 01:33:45,439
Speaker 1: high Well, Terrence. First of all, it's great man to

1678
01:33:45,600 --> 01:33:47,720
Speaker 1: have some oss here, and you're listening to me in

1679
01:33:47,800 --> 01:33:50,519
Speaker 1: South Korea, so this is truly a global show, which

1680
01:33:50,520 --> 01:33:55,519
Speaker 1: I appreciate, so thank you very much for that. And yeah,

1681
01:33:55,920 --> 01:33:57,640
Speaker 1: as to what South Korea is doing right, I don't know.

1682
01:33:57,720 --> 01:34:00,479
Speaker 1: I mean we're hearing that they are very high rates

1683
01:34:00,479 --> 01:34:03,120
Speaker 1: of testing, but I just also think that they have

1684
01:34:03,200 --> 01:34:07,080
Speaker 1: a tremendous amount of individual compliance in the society for

1685
01:34:07,400 --> 01:34:10,040
Speaker 1: the mitigation measures that we can all take. We all

1686
01:34:10,120 --> 01:34:12,200
Speaker 1: know this from cold season and flu season already. There

1687
01:34:12,200 --> 01:34:15,200
Speaker 1: are things you can do to make respiratory diseases less

1688
01:34:15,240 --> 01:34:18,080
Speaker 1: likely to spread. And if everybody does those things, it

1689
01:34:18,200 --> 01:34:21,280
Speaker 1: really devotes themselves to those things. I think that the

1690
01:34:21,400 --> 01:34:25,680
Speaker 1: government's actions become far less necessary, and it's also much

1691
01:34:25,720 --> 01:34:28,439
Speaker 1: more likely that you be in a position to continue

1692
01:34:28,439 --> 01:34:32,400
Speaker 1: to have your economy open. But that's just how that's

1693
01:34:32,400 --> 01:34:36,400
Speaker 1: how I view it. That's my take on it. Terrence, Oh,

1694
01:34:36,400 --> 01:34:38,640
Speaker 1: I'm sorry that was Terrence. Greg Hey Buck sounds like

1695
01:34:38,680 --> 01:34:41,320
Speaker 1: you cook a lot of steak life hack. Melt some

1696
01:34:41,439 --> 01:34:44,880
Speaker 1: butter with garlic and grated parmerjan into a sort of

1697
01:34:45,040 --> 01:34:47,519
Speaker 1: sauce and pour it over your steak. You won't ever

1698
01:34:47,640 --> 01:34:51,240
Speaker 1: regret it. Best thing ever, Well, Greg, that does sound amazing.

1699
01:34:51,360 --> 01:34:53,320
Speaker 1: I will tell you something that I often do as

1700
01:34:53,360 --> 01:34:56,360
Speaker 1: a finish when I'm cooking a good steak is I

1701
01:34:56,439 --> 01:34:59,439
Speaker 1: will just you know, once you've seared and you've gotten

1702
01:34:59,439 --> 01:35:02,320
Speaker 1: them meet the right temperature, put it in the pan,

1703
01:35:02,520 --> 01:35:05,200
Speaker 1: preferably a cast iron obviously, because we're civilized here. We

1704
01:35:05,320 --> 01:35:07,680
Speaker 1: use cast iron when we can on our meats. And

1705
01:35:07,920 --> 01:35:10,800
Speaker 1: you use that cast iron pan and you you have

1706
01:35:11,080 --> 01:35:13,120
Speaker 1: built in heat in the pan. Put it on really

1707
01:35:13,240 --> 01:35:15,479
Speaker 1: low medium heat because there's already gonna be a lot

1708
01:35:15,520 --> 01:35:18,240
Speaker 1: of heat in the pan, and you throw in some

1709
01:35:18,840 --> 01:35:22,040
Speaker 1: herb that you have a time is a great option,

1710
01:35:22,240 --> 01:35:24,679
Speaker 1: you know, a little time, maybe a little Parsley sage.

1711
01:35:24,800 --> 01:35:27,160
Speaker 1: I love sage. I've been kind of a sage kick lately.

1712
01:35:27,920 --> 01:35:29,880
Speaker 1: And then you throw in those herbs and then you

1713
01:35:29,960 --> 01:35:32,040
Speaker 1: throw in a big pat of butter with it, and

1714
01:35:32,280 --> 01:35:37,360
Speaker 1: it will effectively fry the herbs right there in real time.

1715
01:35:37,400 --> 01:35:40,680
Speaker 1: And then you spoon that over the steak. So you

1716
01:35:40,760 --> 01:35:43,519
Speaker 1: have an herbed butter that's melted in real time and

1717
01:35:43,680 --> 01:35:46,920
Speaker 1: you just throw it over the steak and woo menu fique.

1718
01:35:47,479 --> 01:35:51,479
Speaker 1: I would throw some grated parmesan into it. But for me,

1719
01:35:52,200 --> 01:35:54,320
Speaker 1: I'm just gonna say it. I like where your head's at, Greg,

1720
01:35:54,479 --> 01:35:56,680
Speaker 1: and I respect the game. That for me would be

1721
01:35:56,720 --> 01:36:00,479
Speaker 1: if I were working with maybe a less excited cut

1722
01:36:00,560 --> 01:36:02,760
Speaker 1: of meat, because I feel like the cheese would be

1723
01:36:02,800 --> 01:36:04,880
Speaker 1: a little strong for me, and some people are gonna disagree.

1724
01:36:04,920 --> 01:36:07,639
Speaker 1: They're gonna love that cheese on all their producer producer, Mark,

1725
01:36:07,680 --> 01:36:09,880
Speaker 1: are you are you a melted parmesan on your steak? Guy?

1726
01:36:10,040 --> 01:36:12,840
Speaker 1: There's no wrong answer here. It's not something I regularly do,

1727
01:36:13,000 --> 01:36:15,200
Speaker 1: but I would definitely try it. It sounds delicious. I mean,

1728
01:36:15,200 --> 01:36:17,200
Speaker 1: I'm sure it would taste good. But butter on the

1729
01:36:17,240 --> 01:36:19,599
Speaker 1: steak is definitely the way go. Oh one hundred percent

1730
01:36:19,680 --> 01:36:21,120
Speaker 1: the way to go. Yeah, you gotta I mean, if

1731
01:36:21,120 --> 01:36:23,120
Speaker 1: you're already eating red meat, you you gotta go bigger,

1732
01:36:23,200 --> 01:36:24,800
Speaker 1: go home. And that's when you got to use that.

1733
01:36:25,560 --> 01:36:27,320
Speaker 1: And the herbed butters are very nice, and if you

1734
01:36:27,439 --> 01:36:30,240
Speaker 1: have the time, there's a there's a there's a way

1735
01:36:30,240 --> 01:36:32,280
Speaker 1: to take the butter. You know. You dice up your

1736
01:36:32,280 --> 01:36:35,880
Speaker 1: herbs very very not not dice mince them, I think

1737
01:36:35,920 --> 01:36:38,320
Speaker 1: it's the proper term. Or you cut them very finely,

1738
01:36:38,720 --> 01:36:40,880
Speaker 1: and then you roll them in with some cold butter

1739
01:36:40,960 --> 01:36:43,040
Speaker 1: and you put it in the fridge and you make

1740
01:36:43,120 --> 01:36:45,360
Speaker 1: your herbed butter beforehand. That's a very nice way to

1741
01:36:45,400 --> 01:36:47,000
Speaker 1: go to because then you take out that butter pat

1742
01:36:47,080 --> 01:36:48,760
Speaker 1: and you put it on top of the steak when

1743
01:36:48,760 --> 01:36:51,080
Speaker 1: it's still really hot. And which just melts into it.

1744
01:36:51,640 --> 01:36:56,080
Speaker 1: It's wonderful. Um, I'm getting hungry. Peter Buck still listening

1745
01:36:56,120 --> 01:36:58,719
Speaker 1: to work while protecting the grid and cat skill. Thank you, Peter,

1746
01:36:58,840 --> 01:37:02,599
Speaker 1: frontline worker shields. I hope you, improucer Mark are doing well.

1747
01:37:03,080 --> 01:37:05,160
Speaker 1: You ask when will the testing be enough to fully

1748
01:37:05,200 --> 01:37:09,479
Speaker 1: open the country? November fifth, Well played, Peter. When they

1749
01:37:09,520 --> 01:37:11,880
Speaker 1: hope Donald Trump is no longer the president, then the

1750
01:37:11,960 --> 01:37:14,920
Speaker 1: cry will become we must open now because Trump held

1751
01:37:15,000 --> 01:37:17,599
Speaker 1: up the economy and it's up to us, the Libs.

1752
01:37:17,800 --> 01:37:19,599
Speaker 1: He didn't write that, but I'm saying it to save

1753
01:37:19,680 --> 01:37:23,120
Speaker 1: the American people. Stay healthy and safe. Well, thank you,

1754
01:37:23,320 --> 01:37:27,000
Speaker 1: Thank you so much, Peter. And yeah, I think you're

1755
01:37:27,840 --> 01:37:30,880
Speaker 1: largely correct here. I share your analysis on this one.

1756
01:37:31,000 --> 01:37:37,200
Speaker 1: So well done, Craig. I'm a podcast and occasional AM

1757
01:37:37,320 --> 01:37:41,400
Speaker 1: one thousand KSOO listener. Wonderful. Thank you so much, Craig.

1758
01:37:41,880 --> 01:37:44,840
Speaker 1: I hate the fact that the federal government human resources

1759
01:37:44,960 --> 01:37:48,439
Speaker 1: terms of essential and non essential have now been forced

1760
01:37:48,520 --> 01:37:51,559
Speaker 1: into our daily lexicon. I hated these terms while managing

1761
01:37:51,600 --> 01:37:55,000
Speaker 1: Department of Army civilians during my career. If during an emergency,

1762
01:37:55,040 --> 01:37:57,320
Speaker 1: a government employee is not needed for the functioning of

1763
01:37:57,400 --> 01:38:00,280
Speaker 1: the organization, then why do they have a job? If

1764
01:38:00,360 --> 01:38:04,080
Speaker 1: only essential work occurs during emergency situations, then what work

1765
01:38:04,160 --> 01:38:06,640
Speaker 1: is being accomplished by the majority of them most of

1766
01:38:06,680 --> 01:38:09,560
Speaker 1: the time. Now, the state is using these unfair and

1767
01:38:09,640 --> 01:38:13,400
Speaker 1: illogical terms to divide the public sector. All jobs and

1768
01:38:13,439 --> 01:38:15,439
Speaker 1: businesses in the economy are essential and needed for this

1769
01:38:15,560 --> 01:38:18,120
Speaker 1: great nation to work. If we want to get these

1770
01:38:18,160 --> 01:38:22,080
Speaker 1: shut down over quicker shutdowns over quicker, furlough all non

1771
01:38:22,160 --> 01:38:24,360
Speaker 1: essential government workers and not allow them to work from

1772
01:38:24,400 --> 01:38:27,080
Speaker 1: home and earn a paycheck, as is happening for many

1773
01:38:27,280 --> 01:38:30,400
Speaker 1: in the economy. Since the majority of federal civilian workforce

1774
01:38:30,520 --> 01:38:33,479
Speaker 1: is classified as non essential, the outcry within the federal

1775
01:38:33,520 --> 01:38:36,240
Speaker 1: government would be deafening and one that politicians could not ignore.

1776
01:38:36,360 --> 01:38:39,920
Speaker 1: Keep up the good fight, Craig, excellent, excellent note. And

1777
01:38:40,439 --> 01:38:43,479
Speaker 1: I think you're right if you had people who work

1778
01:38:43,560 --> 01:38:46,320
Speaker 1: for the government who were no longer drawing a paycheck

1779
01:38:46,400 --> 01:38:49,000
Speaker 1: and we're not able to work from home, if they

1780
01:38:49,040 --> 01:38:52,360
Speaker 1: were furloughed, any non essential government employees instead of getting

1781
01:38:52,360 --> 01:38:54,200
Speaker 1: paid because right now, my understanding is they're paid to

1782
01:38:54,320 --> 01:38:57,320
Speaker 1: be home and work from home. But if you're non essential,

1783
01:38:57,640 --> 01:38:59,240
Speaker 1: why are you getting paid to work? From home as

1784
01:38:59,240 --> 01:39:02,400
Speaker 1: a govern employee. Craig is asking, it's an interesting point,

1785
01:39:02,439 --> 01:39:05,080
Speaker 1: isn't it. And it would put so much pressure, especially

1786
01:39:05,160 --> 01:39:09,640
Speaker 1: for state and municipal employees. Think about how annoyed they

1787
01:39:09,720 --> 01:39:13,599
Speaker 1: would get with this circumstance very quickly. It would change, folks.

1788
01:39:13,840 --> 01:39:15,960
Speaker 1: This is really a lot of this is about pressure

1789
01:39:16,000 --> 01:39:19,160
Speaker 1: points in the separation of those who are still getting

1790
01:39:19,200 --> 01:39:22,280
Speaker 1: paid and those who are not. And it is a

1791
01:39:22,560 --> 01:39:26,800
Speaker 1: very meaningful difference whether or not you are getting paid

1792
01:39:26,880 --> 01:39:29,120
Speaker 1: right now. There's just no way around it. It does

1793
01:39:29,720 --> 01:39:32,280
Speaker 1: matter to people's perceptions of how serious this is, how

1794
01:39:32,320 --> 01:39:36,160
Speaker 1: severe this is. And there are way too many people

1795
01:39:36,200 --> 01:39:38,799
Speaker 1: out there, I think, who are allowed voices on this issue,

1796
01:39:39,280 --> 01:39:42,240
Speaker 1: who just think that there's not really a massive cost

1797
01:39:42,360 --> 01:39:46,240
Speaker 1: or consequence to continuing as we are because it hasn't

1798
01:39:46,360 --> 01:39:49,760
Speaker 1: been that consequential for them yet, although eventually it will

1799
01:39:49,800 --> 01:39:52,519
Speaker 1: be consequential for everybody, especially in the private sector and

1800
01:39:52,560 --> 01:39:55,880
Speaker 1: the public sector. It takes longer because they just rely

1801
01:39:56,000 --> 01:39:57,920
Speaker 1: on the government to pay them with the printed money.

1802
01:39:58,320 --> 01:40:01,360
Speaker 1: But for people that have to actually be reductive. We

1803
01:40:01,479 --> 01:40:04,400
Speaker 1: will see sooner than later what the real consequences of

1804
01:40:04,479 --> 01:40:06,640
Speaker 1: this can be. Uh and a lot of us are

1805
01:40:06,680 --> 01:40:10,040
Speaker 1: already feeling it. Um. You know we we are feeling

1806
01:40:10,080 --> 01:40:11,599
Speaker 1: it in media. I can tell you that at least

1807
01:40:11,600 --> 01:40:14,280
Speaker 1: some of us are. It's this is not fun um

1808
01:40:14,520 --> 01:40:16,880
Speaker 1: financially speaking. I mean, I can't get into details, but

1809
01:40:17,000 --> 01:40:19,960
Speaker 1: this is not a not a good time for for

1810
01:40:20,160 --> 01:40:24,080
Speaker 1: media in general, but more specifically, you know, conservative media,

1811
01:40:24,120 --> 01:40:26,800
Speaker 1: because we run so much on on ads and on

1812
01:40:27,000 --> 01:40:29,960
Speaker 1: economic activity. You know, this show only works because you

1813
01:40:30,000 --> 01:40:32,439
Speaker 1: guys all try out our sponsors. Well, people are buying

1814
01:40:32,600 --> 01:40:36,680
Speaker 1: less stuff. Uh that that hurts the economic model of

1815
01:40:36,800 --> 01:40:39,519
Speaker 1: of all talk radio, of all the different platforms out there.

1816
01:40:39,600 --> 01:40:43,000
Speaker 1: So you know, yeah, I'm still working, but it's it's

1817
01:40:43,080 --> 01:40:45,120
Speaker 1: tough out there, folks. It's tough for us too. Don't

1818
01:40:45,160 --> 01:40:50,439
Speaker 1: think it's not. You're in the freedom hud. This is

1819
01:40:50,479 --> 01:40:57,679
Speaker 1: the Buck Sexton Show podcast. All right, more roll call here,

1820
01:40:57,760 --> 01:41:01,839
Speaker 1: Tim rites Buck Penn should a mask at all times.

1821
01:41:02,000 --> 01:41:05,080
Speaker 1: He is our only buffer between us and insanity. If

1822
01:41:05,160 --> 01:41:09,280
Speaker 1: something were to happen to Trump, President Pelosi makes me

1823
01:41:09,400 --> 01:41:13,439
Speaker 1: ill to even type it. Well, Tim, I appreciate that

1824
01:41:13,560 --> 01:41:18,400
Speaker 1: you want to keep are very esteemed and really really

1825
01:41:18,439 --> 01:41:21,320
Speaker 1: an exceptional person. Our vice president's a good guy. I

1826
01:41:21,400 --> 01:41:25,280
Speaker 1: appreciate that you want to keep him, you know, keep

1827
01:41:25,360 --> 01:41:27,160
Speaker 1: him as healthy as possible. I certainly agree with that.

1828
01:41:27,360 --> 01:41:30,040
Speaker 1: I think I think the Vice president, given who he's

1829
01:41:30,040 --> 01:41:32,519
Speaker 1: around and what he's dealing with every day, probably has

1830
01:41:32,520 --> 01:41:36,040
Speaker 1: a pretty darn good sense of what is necessary for

1831
01:41:36,200 --> 01:41:39,280
Speaker 1: keeping him healthy and safe into the game. But I

1832
01:41:39,640 --> 01:41:42,280
Speaker 1: hear you on that we need Pence staying strong, stay

1833
01:41:42,280 --> 01:41:45,639
Speaker 1: and healthy. And the same thing with our president, man Trump,

1834
01:41:45,840 --> 01:41:50,000
Speaker 1: is this guy is going through hell right now as president.

1835
01:41:50,040 --> 01:41:53,120
Speaker 1: I mean you can only imagine when from things that

1836
01:41:53,200 --> 01:41:56,840
Speaker 1: were in his control, we're going so well, you know,

1837
01:41:56,920 --> 01:41:59,240
Speaker 1: the economy was so strong. You gotta understand, this is

1838
01:41:59,439 --> 01:42:02,759
Speaker 1: his life work, right, This is his the crowning achievement

1839
01:42:02,800 --> 01:42:06,240
Speaker 1: of this guy's entire career, which has been a pretty

1840
01:42:06,240 --> 01:42:09,160
Speaker 1: remarkable one at that. And he's doing such a good

1841
01:42:09,240 --> 01:42:11,160
Speaker 1: job and then this happens. I mean, this is like,

1842
01:42:12,160 --> 01:42:16,439
Speaker 1: you know, you're you're showing up to you're showing up

1843
01:42:16,479 --> 01:42:19,760
Speaker 1: to sign the deal of a lifetime and you get

1844
01:42:19,800 --> 01:42:21,800
Speaker 1: struck by lightning on the way and he's just like,

1845
01:42:21,920 --> 01:42:25,280
Speaker 1: how does this happen? Man? This is terrible. So he's

1846
01:42:25,360 --> 01:42:28,240
Speaker 1: obviously very tired, and I think he's particularly grumpy during

1847
01:42:28,280 --> 01:42:30,439
Speaker 1: some of those press conferences, which I I can't understand.

1848
01:42:30,520 --> 01:42:33,479
Speaker 1: I can't understand that. But he's particularly tired and grumpy

1849
01:42:33,560 --> 01:42:36,960
Speaker 1: during the press conferences, and I get it, you know,

1850
01:42:37,080 --> 01:42:40,120
Speaker 1: I can only imagine how challenging that is. But Trump's

1851
01:42:40,120 --> 01:42:43,160
Speaker 1: staying healthy during all this is so important too, obviously

1852
01:42:43,479 --> 01:42:47,000
Speaker 1: keeping him free of COVID nineteen, but just also not

1853
01:42:47,160 --> 01:42:49,200
Speaker 1: getting run down with other health issues. I mean, the

1854
01:42:49,240 --> 01:42:52,519
Speaker 1: guy's going through It's it's tough right now. Think of

1855
01:42:52,600 --> 01:42:54,760
Speaker 1: the weight that he carries on his shoulders every day,

1856
01:42:55,160 --> 01:42:57,000
Speaker 1: and all the all the libs like a bunch of

1857
01:42:57,120 --> 01:42:59,760
Speaker 1: hyenas lurking in the background, just waiting to pounce on

1858
01:42:59,800 --> 01:43:04,240
Speaker 1: a mistake that he makes. Michael right, Daily listener, love

1859
01:43:04,280 --> 01:43:06,679
Speaker 1: your insight, keep up the good work. We are listening

1860
01:43:06,720 --> 01:43:10,200
Speaker 1: in texarcanat Texas. Oh Michael, thank you so much and

1861
01:43:10,400 --> 01:43:15,240
Speaker 1: great to have some texts Arcana support and we appreciate it.

1862
01:43:15,400 --> 01:43:17,280
Speaker 1: And like I said, guys, please do check out buck

1863
01:43:17,320 --> 01:43:20,040
Speaker 1: Sexton dot com. That's our website. We've got stories posting

1864
01:43:20,080 --> 01:43:23,320
Speaker 1: every day. Things from this show go up there, extras,

1865
01:43:23,400 --> 01:43:26,960
Speaker 1: all kinds of fun stuff. Buck Sexton dot com. That's

1866
01:43:27,000 --> 01:43:30,000
Speaker 1: where you go, and please do continue to stop in

1867
01:43:30,200 --> 01:43:33,200
Speaker 1: bookmark it and tell people about the podcast for the

1868
01:43:33,240 --> 01:43:35,000
Speaker 1: Buck Sexton Show. Oh, if you haven't subscribed to our

1869
01:43:35,040 --> 01:43:37,559
Speaker 1: YouTube channel as well, start watching us on YouTube YouTube

1870
01:43:37,600 --> 01:43:41,360
Speaker 1: dot com slash buck Sexton. So that's another thing we

1871
01:43:41,439 --> 01:43:45,200
Speaker 1: want to keep going and growing. Gyle. Hey, Buck, last day,

1872
01:43:45,200 --> 01:43:48,479
Speaker 1: I work for my crew. We build aircraft parts, and

1873
01:43:48,600 --> 01:43:51,559
Speaker 1: the future is bleak. You and Mark stay safe there

1874
01:43:51,560 --> 01:43:53,960
Speaker 1: at ground zero and keep your shield high. We'll be

1875
01:43:54,000 --> 01:43:56,880
Speaker 1: listening and keeping my powder dry. You stay safe well, Gyle.

1876
01:43:56,920 --> 01:43:59,080
Speaker 1: I'm sorry to hear about the slowdown in your work,

1877
01:43:59,120 --> 01:44:03,080
Speaker 1: but man, aircraft parts, this will will come back. It's

1878
01:44:03,120 --> 01:44:05,439
Speaker 1: gonna come back. It's just gonna take some time. But

1879
01:44:05,560 --> 01:44:07,400
Speaker 1: I know that right now, right now, that's not really

1880
01:44:07,439 --> 01:44:09,200
Speaker 1: a whole lot of comfort. Given then you got bills

1881
01:44:09,240 --> 01:44:10,680
Speaker 1: to pay and a family to take care of. And

1882
01:44:10,920 --> 01:44:13,680
Speaker 1: I know it's tough. I mean, Boeing is looking at

1883
01:44:13,760 --> 01:44:16,519
Speaker 1: huge layoffs from what I understand, I mean, the airline industry.

1884
01:44:17,120 --> 01:44:18,600
Speaker 1: How's that going to come back? It's gonna come. You

1885
01:44:18,680 --> 01:44:20,000
Speaker 1: know how it comes back. And be honest with you,

1886
01:44:20,040 --> 01:44:22,639
Speaker 1: it's when people feel like, you know what, I gotta

1887
01:44:22,680 --> 01:44:25,080
Speaker 1: fly and I'm gonna go. Maybe I wear a surgical

1888
01:44:25,160 --> 01:44:27,559
Speaker 1: mask on the plane. But I'm gonna fly, and I'm

1889
01:44:27,600 --> 01:44:29,640
Speaker 1: gonna take that risk, and I think it's important, and

1890
01:44:29,920 --> 01:44:32,479
Speaker 1: I'm healthy enough that I can handle this. And then

1891
01:44:32,520 --> 01:44:36,720
Speaker 1: once that mentality becomes widespread, then I think you'll start

1892
01:44:36,720 --> 01:44:40,280
Speaker 1: to see the airline industry maker will come back. Jake, right,

1893
01:44:40,280 --> 01:44:43,120
Speaker 1: it's good, Hey, Buckman, at your recommendation. I recently read

1894
01:44:43,200 --> 01:44:45,640
Speaker 1: The Guns of August, which led me to read a

1895
01:44:45,680 --> 01:44:48,280
Speaker 1: few other books about World War One. The scale and

1896
01:44:48,439 --> 01:44:51,000
Speaker 1: misery and loss of life from that war is just staggering,

1897
01:44:51,360 --> 01:44:55,000
Speaker 1: But compared to our societal expectations today, it is clear

1898
01:44:55,040 --> 01:44:57,320
Speaker 1: that the acceptance of necessary risk in those days was

1899
01:44:57,479 --> 01:45:01,000
Speaker 1: orders of magnitude higher. Too high, one could argue, I

1900
01:45:01,080 --> 01:45:02,639
Speaker 1: could go on, but to sum it up, I think

1901
01:45:02,680 --> 01:45:06,240
Speaker 1: our society and government are showing themselves to be excessively

1902
01:45:06,520 --> 01:45:12,840
Speaker 1: risk averse. Perhaps paradoxically, we have become fatally risk averse. Well, Jake,

1903
01:45:12,880 --> 01:45:14,599
Speaker 1: first of all, I'm glad you're enjoying The Guns of August.

1904
01:45:14,680 --> 01:45:16,600
Speaker 1: It's a great read, and it's a sort of a

1905
01:45:16,720 --> 01:45:20,479
Speaker 1: timeless overview of the or the opening i should say,

1906
01:45:20,520 --> 01:45:24,360
Speaker 1: of the First World War, the opening month of the

1907
01:45:24,439 --> 01:45:27,720
Speaker 1: First World War, in particular, of the actual conflict. And

1908
01:45:28,439 --> 01:45:31,920
Speaker 1: as for your fatally risk averse comment, it reminds me

1909
01:45:32,000 --> 01:45:39,479
Speaker 1: of Professor Unitis from the University of Stour Stanford University,

1910
01:45:40,200 --> 01:45:43,400
Speaker 1: who was saying that we're becoming like an elephant that

1911
01:45:43,600 --> 01:45:46,800
Speaker 1: trying to escape a mouse falls off a cliff. That's

1912
01:45:46,840 --> 01:45:48,680
Speaker 1: a similar idea to what you're talking about here. And

1913
01:45:48,680 --> 01:45:51,960
Speaker 1: he's an epidemiologist and esteemed one who's saying that we're

1914
01:45:52,000 --> 01:45:55,080
Speaker 1: acting like this is a bigger threat for us than

1915
01:45:55,160 --> 01:46:01,439
Speaker 1: it really is. So there you have it, my cool Buck,

1916
01:46:01,520 --> 01:46:03,439
Speaker 1: I usually jump at the vote, A jump at the

1917
01:46:03,560 --> 01:46:07,120
Speaker 1: chance to vote for a libertarian. So will I vote

1918
01:46:07,160 --> 01:46:11,479
Speaker 1: for Justin Amash? No, absolutely not. After how he's been

1919
01:46:11,520 --> 01:46:13,200
Speaker 1: acting in the past couple of years, I wouldn't vote

1920
01:46:13,200 --> 01:46:16,080
Speaker 1: for him to be my congressman either. Shields High. Yeah.

1921
01:46:16,120 --> 01:46:18,400
Speaker 1: I don't know what happened to Himash, but he went

1922
01:46:18,479 --> 01:46:20,400
Speaker 1: over to the he went over to the bad guy team,

1923
01:46:20,720 --> 01:46:22,840
Speaker 1: and it's a shame to see that happen. But I

1924
01:46:22,960 --> 01:46:26,040
Speaker 1: think it's I think it's where we are, my friend,

1925
01:46:26,560 --> 01:46:30,080
Speaker 1: I'm not impressed, as putting him mildly, that's my impression

1926
01:46:30,120 --> 01:46:34,200
Speaker 1: of how he's doing. Terry writes, Hey, Buck, why don't

1927
01:46:34,200 --> 01:46:37,080
Speaker 1: the Libs call the President's daily COVID nineteen briefing stupid

1928
01:46:37,680 --> 01:46:40,559
Speaker 1: but not Governor Cuomos, I think I know the answer. Well, Terry,

1929
01:46:40,800 --> 01:46:43,360
Speaker 1: you do know the answer. It's politics. There's nothing behind

1930
01:46:43,400 --> 01:46:46,160
Speaker 1: it other than that. It's a shame that the Libs

1931
01:46:46,160 --> 01:46:51,320
Speaker 1: will not put aside their political gripes during this very

1932
01:46:51,320 --> 01:46:53,639
Speaker 1: difficult time where we all really should be banning together

1933
01:46:53,760 --> 01:46:55,599
Speaker 1: and counting on each other to make decisions that are

1934
01:46:55,600 --> 01:47:00,320
Speaker 1: best for the country. But liberalism is a question in

1935
01:47:00,320 --> 01:47:03,519
Speaker 1: the era of Trump is a disorder. That's it for today, Folks,

1936
01:47:03,600 --> 01:47:06,920
Speaker 1: bucksexon dot COM's the website, make sure you tell somebody

1937
01:47:07,080 --> 01:47:08,920
Speaker 1: this week. Please do me a favorite. Tell somebody to

1938
01:47:08,960 --> 01:47:12,120
Speaker 1: download the Buck Sexton Show podcast. Wherever you listen to podcasts,

1939
01:47:12,160 --> 01:47:14,320
Speaker 1: you can listen to it and we'll be back tomorrow,

1940
01:47:14,439 --> 01:47:16,679
Speaker 1: same time and place. She'll die