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Speaker 1: Welcome to today's edition of the Clay Travis and Buck

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Speaker 1: Sexton Show podcast. Welcome in Friday edition Clay Travis Buck

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Speaker 1: Sexton Show. I am coming to you live from the

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Speaker 1: Free State of Florida. Buck would have been here if

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Speaker 1: he had not gotten omicron. He is with his scarf,

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Speaker 1: hanging out in his apartment, almost at the end of

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Speaker 1: his quarantine process. Eighty degrees and sunny down here. We

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Speaker 1: have got an awesome event for our listeners in the

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Speaker 1: Fort Myers area. Going to be a really cool five

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Speaker 1: to seven o'clock eastern here. Looking forward to meeting hundreds

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Speaker 1: of our listeners down here for a lot of great affiliates. Buck,

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Speaker 1: you and I are going to get out and about

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Speaker 1: some on the road during the course of twenty twenty

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Speaker 1: two and hopefully be able to meet a lot of

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Speaker 1: our different listeners all over the country. We got an

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Speaker 1: event coming up in Houston in the near future. It's

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Speaker 1: great to be in Florida right now and so much

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Speaker 1: to dive into here. We got a great show lined

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Speaker 1: up for you, but right off the top again thanks

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Speaker 1: to WFSX all of you out there listening in Southwest

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Speaker 1: Florida to us on WFSX. We love you guys, and

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Speaker 1: we're looking forward to having a great event this afternoon

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Speaker 1: evening here in Fort Myers. But Buck, one of the

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Speaker 1: things we talked about a couple of days ago was

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Speaker 1: you knew the panic was setting in in the wake

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Speaker 1: of a disastrous press conference for Joe Biden as all

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Speaker 1: of the first year polls were coming in showing how

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Speaker 1: underwater Joe Biden is. One of the craziest ones I saw. Buck,

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Speaker 1: Only twenty eight percent of voters nationwide want Joe Biden

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Speaker 1: to run for reelection in twenty twenty four, and so

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Speaker 1: there's been an attempt to manufacture a crisis. And that

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Speaker 1: manufactured crisis has to be outside of the Democratic Party

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Speaker 1: because we've got crises with everything that's going on with

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Speaker 1: the murder rate, got the border disaster, COVID at all

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Speaker 1: time highs, you have inflation at the high going all

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Speaker 1: the way back to nineteen eighty two, and so there

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Speaker 1: needs to be an external focus, something that can take

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Speaker 1: away attention from the Democrats and Joe Biden. And that

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Speaker 1: turned into there's tension between Donald Trump and Ron De Santis. Well.

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Speaker 1: Last night on Sean Hannity's show, former President Trump directed

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Speaker 1: that answer as explicitly as I have seen anybody. Let's

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Speaker 1: play cut one. As Trump addressed his relationship with Ron

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Speaker 1: de Santis, I get along break with Ron. Ron was

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Speaker 1: very good on the Muller hoax. He was right up

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Speaker 1: front along with Jim Jordan and all of the rest

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Speaker 1: of them. They were fantastic. The Republicans really stuck together

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Speaker 1: and it was a great thing. And Ron was one

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Speaker 1: of them. And Ron wanted to run and I endorsed him,

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Speaker 1: and that helped him greatly. And he went on and

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Speaker 1: he's done a really terrific job in Florida. And I think,

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Speaker 1: you know, Ron has been very good. He's been a

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Speaker 1: friend of mine for a long time. It's totally fake news,

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Speaker 1: run said last week. He said it very publicly. He says,

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Speaker 1: the press is never going to get in the middle

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Speaker 1: of my friendship with Donald Trump. We're not going to

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Speaker 1: do that stuff. And he said it very strongly. I

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Speaker 1: thought it was very interesting, actually and very nice. But

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Speaker 1: he said that, and I agree with him on that.

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Speaker 1: And this is what I mean. I never bought this

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Speaker 1: clay yet there was some feud. It's so obvious, right,

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Speaker 1: It's the oldest trick in the book for the Libs

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Speaker 1: to present at this point in time, some open warfare

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Speaker 1: breaking out between the Trump and de Santist camps. They

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Speaker 1: are terrified because, let me say this, I think they recognize, well,

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Speaker 1: we have the twenty eight percent of Americans want Biden

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Speaker 1: to run again. You told me that pole right before

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Speaker 1: we came on air. I think they're terrified because they

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Speaker 1: realize not only could Trump right now beat Biden, descentists

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Speaker 1: right now would beat Biden, and if the two of

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Speaker 1: them work together in any capacity, whoever's actually on the

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Speaker 1: ticket or whatever the case may be, there's no way

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Speaker 1: the Biden regime is going to get four more years.

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Speaker 1: And they already know it, so they're willing to play

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Speaker 1: at the dirtiest tricks. These are the same people that

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Speaker 1: say January six was an insurrection. So yeah, they're trying

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Speaker 1: to start a fight between Trump and decantists, and we

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Speaker 1: shouldn't fall for that for a second because there's no

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Speaker 1: reason for them to fight. Well, this is what I

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Speaker 1: think is going to be the big question going forward.

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Speaker 1: Buck it is to what extent is twenty twenty two

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Speaker 1: and then later twenty twenty four, depending on exactly how

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Speaker 1: it lays out a referendum on Joe Biden. To the

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Speaker 1: extent that Biden is the story and the Democratic Party

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Speaker 1: is the story, which is what it should be, then

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Speaker 1: Democrats are going to get destroyed because what they did

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Speaker 1: in twenty twenty was Hi Joe Biden and try to

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Speaker 1: make twenty twenty a referendum on Trump in particular based

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Speaker 1: on COVID, and now the referendum on Biden is an

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Speaker 1: unmitigated disaster. There is no way to defend Biden. In fact,

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Speaker 1: Biden right now is clearly going to be the worst

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Speaker 1: president pretty much of any of our lives when you

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Speaker 1: really look at how badly things are going now. Maybe

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Speaker 1: he can start to pull things up in the next

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Speaker 1: couple of years, maybe things won't be as bad as

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Speaker 1: they are right now. But we're talking about it historically

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Speaker 1: inept presidency on virtually every level. That's why I thought

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Speaker 1: it was funny that Biden said, of all the ridiculous

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Speaker 1: things he said in his press conference on Wednesday, buck

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Speaker 1: the idea that he believed he had outperformed expectations is

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Speaker 1: maybe the most ludicrous of everything. Because even the most

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Speaker 1: died in the wold diehard Joe Biden fan isn't willing

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Speaker 1: to accept the idea that he has in some way

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Speaker 1: delivered any form of excellence at all. Jimmy Carter is

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Speaker 1: one of the big winners of the Biden presidency because

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Speaker 1: I think Clay, we've reached the point where Jimmy Carter

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Speaker 1: is like, I'm much better than that guy. You know.

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Speaker 1: I think Jimmy Carter has a lot of room to

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Speaker 1: make the argument that Joe Biden is far less confident

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Speaker 1: than even he was already. So you start with that,

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Speaker 1: and then on the desantist Trump front, Let's keep in

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Speaker 1: mind they want us to focus on that feud, which

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Speaker 1: doesn't exist, but they want to create that feud in

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Speaker 1: advance of the mid terms. We're not even in the

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Speaker 1: presidential cycle right now. And why is it so important

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Speaker 1: for them to create this perception that there's disunity among

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Speaker 1: the GOP. Because you have both Trump, who is still

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Speaker 1: a very potent force among Republicans and very much able

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Speaker 1: to get people fired up and mobilized, and you have

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Speaker 1: Ron de Santists who, as governor of the state of Florida,

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Speaker 1: where you are right now, where I wish I was,

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Speaker 1: but you know, COVID, he's proving the model of Republican

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Speaker 1: governance in the era of COVID in a way that

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Speaker 1: I think is going to be a critical component of

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Speaker 1: the GOP. Hopefully she lacking that they hand out to

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Speaker 1: the Democrats this fall. So we're in a mid term cycle,

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Speaker 1: we're not in a presidential cycle, and so all this

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Speaker 1: stuff about oh, but you know, Desantists and Trump, they're

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Speaker 1: trying to distract, they're trying to turn us against each other.

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Speaker 1: And I was so honestly so happy to hear not surprised,

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Speaker 1: but happy to hear that from Trump, just because this

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Speaker 1: is the way it's got to be. We have to

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Speaker 1: crush the Communes this year. That is the focus. And Buck,

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Speaker 1: I would point this out to your I think it's

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Speaker 1: dude observation there. We're in a mid term What the

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Speaker 1: Democrats are basically doing by trying to create conflict between

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Speaker 1: Trump and Desantists is default acknowledging that DeSantis is gonna

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Speaker 1: win in twenty twenty two, because he's going to be

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Speaker 1: on the ballot down here in Florida where I am,

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Speaker 1: in November. And so if they're already talking about how

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Speaker 1: Desantists won't bow down to Trump in twenty twenty four.

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Speaker 1: They're implicitly acknowledging by creating that conflict this early, that

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Speaker 1: twenty twenty two is not going to be a challenge

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Speaker 1: because remember, initially buck in the early days of COVID,

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Speaker 1: they tried to argue, we're going to knock DeSantis out.

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Speaker 1: The way he has run the state of Florida is

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Speaker 1: going to leave him vulnerable, and we're going to beat

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Speaker 1: him in twenty twenty two because an off year election

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Speaker 1: Florida isn't voting in the same time as a presidential election.

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Speaker 1: He narrowly won in twenty eighteen, and they were thinking, Hey,

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Speaker 1: we're going to knock him out as a viable national

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Speaker 1: candidate by beating him in twenty twenty two. Now, just

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Speaker 1: based on this narrative cycle, they are implicitly acknowledging, Hey,

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Speaker 1: he's gonna win, and it may not even be very close.

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Speaker 1: Let's go ahead and try to create angst between Trump

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Speaker 1: and DeSantis. They're already a narrative cycle ahead. They're already

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Speaker 1: effectively acknowledging the butt kicking that they're going to get

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Speaker 1: in twenty twenty two and trying to serve up some

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Speaker 1: protection for twenty twenty four. Yeah, I mean the person

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Speaker 1: that's running, as I understand it, against Ron DeSantis for

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Speaker 1: the you know, on the Democrat side for governor, is

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Speaker 1: pretty unserious. Nicky Freed, who's the Florida Commissioner of Agriculture. Also,

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Speaker 1: my Florida friends tell me that this is one of

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Speaker 1: the worst years in memory for the citrus harvest, which

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Speaker 1: is a big deal. Which is a big deal in

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Speaker 1: Florida obvious reasons. It is the Sunshine stated is the

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Speaker 1: citrus state in many ways. And so Rhnda Santas, Yeah,

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Speaker 1: you're right, he's probably gonna be He's looks like he's

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Speaker 1: a shoe in for governor. But keep in mind adding

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Speaker 1: to all that, as all the people who have moved

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Speaker 1: to Florida who are overwhelming, you gonna be de Santas supporters.

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Speaker 1: And so this now becomes a state that is looking

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Speaker 1: like it isn't just a little bit, it is going

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Speaker 1: to be solidly read for the foreseeable future. And it's

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Speaker 1: in direct contravention of what they were telling us was

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Speaker 1: going to happen. Early on, I remember this, you remember this,

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Speaker 1: the pandemic. They were like, just wait and see what

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Speaker 1: happens in Florida. Just wait till all the all the

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Speaker 1: mayhem and the unmasked destruction that will go on. Yeah,

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Speaker 1: if by that you mean hundreds of thousands of people

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Speaker 1: running to Florida saying, please, please, can I live here

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Speaker 1: instead of the psycho lib state of either usually it's

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Speaker 1: California and New York, maybe New Jersey a few other places.

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Speaker 1: That's what's been going. That's what's been occurring. So we've

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Speaker 1: run the experiment Florida to one, and now what do

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Speaker 1: we do with that political momentum? That's what I think

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Speaker 1: remains to be seen, and that's why I'm so glad

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Speaker 1: to Santis and Trump are going to be working together

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Speaker 1: on this block. I'll tell you this. When I walked

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Speaker 1: outside of the Fort Myers Airport, It's not as big

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Speaker 1: of a deal for me, obviously because I live in Nashville,

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Speaker 1: which is also a free state inside of Tennessee. But

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Speaker 1: the number of people from the East Coast walking outside

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Speaker 1: of the airport and ripping off their masks the moment

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Speaker 1: they walked outside of the airport, It's like seeing people

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Speaker 1: suddenly being able to cross the Berlin Wall. Back in

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Speaker 1: the day, you know, if you were coming from East

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Speaker 1: Germany to West Germany and you could just feel the

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Speaker 1: freedom sort of emanating everywhere. There's a joy and a

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Speaker 1: glee and a euphoria that you will see when those

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Speaker 1: East Coast airplanes land in Florida and people come walking

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Speaker 1: out of the airport, rip off their masks, breathe the

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Speaker 1: warm air, and they're like, oh my god, I'm free again.

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Speaker 1: I feel like Andy Dufrain and Shawshank. Instead of sewage,

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Speaker 1: it's communism that's dripping off of me, and I'm walking

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Speaker 1: out to the free sunshine of the state of Florida.

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Speaker 1: Every time I leave that airport. It is a remarkable feeling.

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Speaker 1: It is absolutely the closest thing to feeling like you're

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Speaker 1: crossing over the actual Iron Curtain back in the nineteen

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Speaker 1: to fifties of the nineteen sixties. And everybody who's lived

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Speaker 1: in both places knows it. You're no safer in New

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Speaker 1: York than you are in Florida. In fact, the opposite

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Speaker 1: recently when it comes to COVID. So what's all the

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Speaker 1: nonsense about? But people, I think a lot of this

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Speaker 1: is driven Clay not only by fear, but by ego,

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Speaker 1: because increasingly there's this whole class of elites who elevated

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Speaker 1: Fauci into this high priests status, never really thought about

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Speaker 1: is this guy really that smart? Does he have a

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Speaker 1: good track record, Does he actually understand policy in a

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Speaker 1: way that is going to be for the benefit of

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Speaker 1: the American people, or is he just kind of making

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Speaker 1: it up as he goes along a lot of them

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Speaker 1: I think now don't want to admit even as the

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Speaker 1: UK has said we have dotten with masks and mandates,

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Speaker 1: you know, even as they're deciding it's all over over there,

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Speaker 1: I can't do Boris Johnson's got a very particular kind

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Speaker 1: of accent, so I can't work on that one. But

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Speaker 1: here we are, and yet Faucism is doubling down. I mean, Clay,

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Speaker 1: he's talking about vaccines for five year olds and five

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Speaker 1: and under. I'm sorry, so you're two and three year

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Speaker 1: olds In Faucci world, they're gonna start getting the shot

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Speaker 1: next month. I just had omicron. That is completely insane.

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Speaker 1: It is completely insane to do that to kids. I'm

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Speaker 1: not anti vax. My kids are not getting COVID shots.

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Speaker 1: They're not. First of all, I think they probably had it.

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Speaker 1: We need to go get Amanda body tested. If I've

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Speaker 1: had COVID twice if my wife has had COVID, the

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Speaker 1: odds are that they had COVID in our house and

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Speaker 1: we just never knew. And I know there's a lot

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Speaker 1: of parents out there that know exactly what I'm talking about.

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Speaker 1: But the idea that we would get them an experimental

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Speaker 1: in many ways vaccine that is not working, by the way,

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Speaker 1: for omicron right now according to the Fiser CEO himself,

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Speaker 1: and when natural immunity worked better against delta according to

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Speaker 1: the CDC now than the COVID vaccine did. No way

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Speaker 1: that I'm getting my kids shot like that. How would

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Speaker 1: you like, by the way, bucks, some extra breathing room

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Speaker 1: in your household budget? Maybe extra five hundred thousand dollars

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Speaker 1: to twelve thousand dollars a year with these guys. And

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Speaker 1: American Financing dot net, MLS one eight two three three

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Speaker 1: four mls Consumer access dot org. We'll welcome back in

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Speaker 1: and play Travis Buck, Sexton Choe. Appreciate all of you

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Speaker 1: hanging out with us. We roll into the weekend Friday

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Speaker 1: edition of the program. Encourage you to go subscribe to

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Speaker 1: the podcast. You can search out my name play Travishing,

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Speaker 1: search out Buck Sexton, go give us five stars. Help

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Speaker 1: us set another all time record for downloads in January.

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Speaker 1: I feel very good about that being a strong likelihood

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Speaker 1: set a lot of records as we roll in through

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Speaker 1: twenty twenty two and get ready for all the mid

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Speaker 1: terms and all of the insanity that is likely to

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Speaker 1: come from that. In the meantime, we're gonna be joined

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Speaker 1: our schedule to be joined here shortly by Senator Rand

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Speaker 1: Paul of Kentucky. But I just saw Buck that he

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Speaker 1: tweeted out that he's not going to be a member

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Speaker 1: of the Capitol Club anymore because they require a COVID

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Speaker 1: vaccine in order to be a member. And I know

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Speaker 1: we talked a little bit about we've got him now.

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Speaker 1: I believe Senator Ran Paul with us. Senda, Paul, appreciate

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Speaker 1: you joining us. I just saw you tweet about the

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Speaker 1: Capitol Club in your decision there, Senator with the conjunction

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Speaker 1: of the CDC finally admitting that natural immunity was more

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Speaker 1: protective by October of twenty one than was the COVID vaccine,

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Speaker 1: and with the Fiser CEO saying that the first two

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Speaker 1: doses of the Fiser vaccine do not actually provide limited,

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Speaker 1: if any protection against omicron. How in the world is

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Speaker 1: there any logical foundation for vaccine mandates any longer? There's zero.

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Speaker 1: But we have to stand up for ourselves for goodness sakes.

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Speaker 1: The Capitol Hill Club, I think, is owned by the

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Speaker 1: Republican Party. They would probably lose less money by hiring

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Speaker 1: an attorney to fight the mayor in the city than

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Speaker 1: they were told by all of us leaving the Capitol

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Speaker 1: Ail clubs. You know, I'm also fighting the mandates for

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Speaker 1: all of DC. You know, DC is under the rule

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Speaker 1: of Congress that I've instituted less or introduced legislation to

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Speaker 1: get rid of the mandates and say, look, we're gonna

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Speaker 1: have a free city. But they're destroying the city. I mean,

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Speaker 1: all the restaurants around the capital are being destroyed. There

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Speaker 1: are no tourists in DC. That capital still close because

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Speaker 1: Nancy Pelosi is protecting us against the next insurrection. I mean,

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Speaker 1: they're destroying our nation's capital. And someone's got to somehow

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Speaker 1: speaks some sense to these people. Senator round Paul, it's Buck.

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Speaker 1: We always appreciate you being with us. I wanted to

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Speaker 1: bring something to your attention. I'm sure you're familiar with

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Speaker 1: some of the work done by Alex Barrenson. You know,

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Speaker 1: he wrote Pandemia and he's just been following the data

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Speaker 1: very closely. He recently put out on his sub stack

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Speaker 1: some data from the hospital, the General Hospital of San

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Speaker 1: Francisco or San Francisco General Hospital, and it showed that

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Speaker 1: over seventy percent and this is just in one hospital,

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Speaker 1: but as a microcosm, I think it's interesting, over seventy

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Speaker 1: percent of those in the hospital in San Francisco that

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Speaker 1: he spoke of were actually vaccinated for COVID. And we're

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Speaker 1: wondering if you see any of this because early on

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Speaker 1: during this wave, we were being told that in some states,

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Speaker 1: in Massachusetts at one point it was, you know, thirty

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Speaker 1: percent of people in the hospital we're vaccinated. We keep

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Speaker 1: hearing that it's only the unvaccinated that are at risk,

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Speaker 1: but there doesn't seem to be good data, and some

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Speaker 1: of the data seems to go against that. I just

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Speaker 1: wanted you to weigh in on this. Well, the thing

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Speaker 1: they're not being honest about is is that virtually everybody

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Speaker 1: who's at risk has been vaccinated. The CDC zone statistics

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Speaker 1: say that those over sixty five, it's somewhere between ninety

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Speaker 1: five to ninety seven percent of the public has been vaccinated,

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Speaker 1: so it's kind of hard not to have a majority

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Speaker 1: of the people in the hospital be vaccinated. The thing

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Speaker 1: is is that really the vaccination, voluntary vaccination has been overwhelmed,

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Speaker 1: mainly successful, but it's never enough for these people. That's

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Speaker 1: why you give into a mandate. Then now, if you

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Speaker 1: give into the mandate for ten year olds, they'll want

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Speaker 1: to do five year olds. If you give into five

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Speaker 1: year olds, they'll want to do newborns. But what they're

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Speaker 1: really ignoring, and the thing that people should be alarmed

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Speaker 1: with is they are all they are ignoring the comparison

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Speaker 1: of risk factor of the disease versus the risk of

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Speaker 1: the vaccine, particularly for children and particularly for adolescent males.

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Speaker 1: And I think this is really a crime you have

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Speaker 1: and really people should go to the court system. Princeton Yale,

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Speaker 1: University of Chicago are actually advocating a mandate for something

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Speaker 1: that is very unhealthy and risky for your adolescent mail,

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Speaker 1: for your eighteen twenty year old mail. The risk of

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Speaker 1: a problem from the vaccine is greatly exceeds any risk

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Speaker 1: they have from the disease, and it's really a crime

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Speaker 1: against these children that prominent universities in our country are

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Speaker 1: mandating something that is a completely malpractice as far as

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Speaker 1: I'm concerned. We're talking to or Ran Paul of Kentucky Center.

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Speaker 1: I'm sure you saw Boris Johnson in England has ended

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Speaker 1: the national mask mandate and the vaccine mandates in order

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Speaker 1: to be able to enter businesses from a federal perspective

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Speaker 1: over there. How long do you think it might be

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Speaker 1: until Joe Biden and the Democrats are willing to do

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Speaker 1: such a thing. And if they're not willing to do

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Speaker 1: such a thing, what can you guys in Congress do

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Speaker 1: to help comeback this well? I think public opinion on

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Speaker 1: hypocrisy goes a long way. You know. It's so many

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Speaker 1: of these people who have been willing to invoke these

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Speaker 1: mandates on us are unwilling to obey their own mandates,

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Speaker 1: and I think that's hurt their cause. But we have

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Speaker 1: to push back. We have to all of us put back.

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Speaker 1: We have to quit frequenting. Don't do not go to

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Speaker 1: a restaurant and call up your favorite restaurant if they

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Speaker 1: want papers and say I'm not revealing my medical records.

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Speaker 1: To go to your restaurant. That's what we all need

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Speaker 1: to do. Ultimately, economic pressure works and it will end,

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Speaker 1: but there's also becoming a dichotomy there. We end up

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Speaker 1: having a free part of our country and totalitarian zones

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Speaker 1: up north. I mean, Florida is a free zone. So

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Speaker 1: people are moving to Florida by DROs. People are vacationing.

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Speaker 1: Even AOC can't have a good time in New York,

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Speaker 1: so she's got to go to Florida. Um. But this

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Speaker 1: is this is what happened. People have to vote with

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Speaker 1: their with their feet, with their dollars, and they have

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Speaker 1: to flee these places. Some of it's happening. I mean,

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Speaker 1: it's one of the reasons Congress is going to flip

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Speaker 1: is that population movement over the last several years is

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Speaker 1: they're fleeing New York and California for freedom, and now

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Speaker 1: they're doing it for vacation because you can't you can't

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Speaker 1: live your life. But it's utter stupidity that we allow

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Speaker 1: these people who aren't using science. It's just that our

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Speaker 1: authoritarian impulse causes them to want new mandates. But really

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Speaker 1: the science is against all this. Everybody is getting uh,

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Speaker 1: the omicron, everybody's probably going to get it masked are

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Speaker 1: completely useless. They're now admitting it. But you know what

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Speaker 1: I fear is that they're going to mandate the N

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Speaker 1: ninety five. Instead of admitting that the mandates on MAS

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Speaker 1: just haven't done a thing to the disease, They're going

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Speaker 1: to mandate an even harsher mask It's what's probably going

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Speaker 1: to come from these morons, Senator Paul Just you know,

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Speaker 1: I have omicron right now, and Clay had it last week.

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Speaker 1: So to your point about everyone's going to get it,

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Speaker 1: I mean, it's it's all over the place, and these

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Speaker 1: mandates obviously haven't done a damn thing to slow this down.

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Speaker 1: It's ridiculous. Do you think that we're going to get

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Speaker 1: to a place where after tens of millions at a

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Speaker 1: minimum of Americans have had omicron within sixty days, we're

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Speaker 1: going to start being told you need to get an

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Speaker 1: omicron shot now because I think Fizer is coming out

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Speaker 1: with their omicron specific vaccine in March. I've been telling Clay,

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Speaker 1: I'm worried that these people are so so maniacal they're

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Speaker 1: gonna say, oh, you just had omicron, come get your

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Speaker 1: omicron shot or else. Yeah, the good news about omicron.

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Speaker 1: For most people, and I'm not saying for everybody, but

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Speaker 1: for most people who get through it, you've basically had

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Speaker 1: a live attenuated vaccine. It is nature's vaccine, and it's

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Speaker 1: a much less deadly virus than the previous iteration. Now

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Speaker 1: there's still people dying, so I mean, we still need

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Speaker 1: to try to protect those who are dying, but it's

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Speaker 1: primarily people with multiple diseases, people over a certain age group,

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Speaker 1: and absolutely people overweight, and people need to monitor their

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Speaker 1: symptoms even with omicron. If you are getting worse in

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Speaker 1: the first five days, that is your window of time

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Speaker 1: when you need to see treatment. And this is something

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Speaker 1: you'll never hear from Faulty or anybody in the government.

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Speaker 1: They say vaccinations it and then you're fine. They don't

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Speaker 1: tell you that you can still get sick if you're vasaccinated,

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Speaker 1: but that there is a treatment. There are multiple treatments,

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Speaker 1: but you need to get them in the first five,

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Speaker 1: maybe the first ten days. But nobody is telling you

430
00:22:36,560 --> 00:22:39,600
Speaker 1: that the monoclonal antibodies that do work well, if you

431
00:22:39,680 --> 00:22:42,840
Speaker 1: wait till day eight, nine, ten eleven, they don't work

432
00:22:42,880 --> 00:22:45,520
Speaker 1: as well, and often the hospital won't even give them

433
00:22:45,560 --> 00:22:47,919
Speaker 1: to you at that point. So this is the thing

434
00:22:47,960 --> 00:22:50,360
Speaker 1: we need to know. We need to protect the vulnerable.

435
00:22:50,520 --> 00:22:53,240
Speaker 1: This is what the great great Barrington Declaration was about.

436
00:22:53,600 --> 00:22:57,000
Speaker 1: It's what these smart epithemiologists that are practicing and preaching

437
00:22:57,119 --> 00:22:59,840
Speaker 1: some truth they're telling us. Protect those who are vulnerable.

438
00:23:00,119 --> 00:23:01,880
Speaker 1: Tell them there are treatments and not just to sit

439
00:23:01,920 --> 00:23:05,600
Speaker 1: at home doing nothing. Sider Paul, when is doctor Fauci

440
00:23:05,680 --> 00:23:08,280
Speaker 1: going to be gone from his position? How do we

441
00:23:08,359 --> 00:23:11,879
Speaker 1: get rid of him the day after the election in

442
00:23:12,000 --> 00:23:15,440
Speaker 1: November twenty twenty two. My suspicion as he will retire

443
00:23:16,320 --> 00:23:18,399
Speaker 1: either way. Even if he does retire, we are going

444
00:23:18,440 --> 00:23:20,879
Speaker 1: to subpoena every one of his records. We're going to

445
00:23:20,920 --> 00:23:22,920
Speaker 1: get to the bottom of where the virus came from.

446
00:23:23,520 --> 00:23:27,040
Speaker 1: And I plan on having hearings on not only domestic rules,

447
00:23:27,240 --> 00:23:31,280
Speaker 1: on not creating these viruses that don't exist in nature

448
00:23:31,359 --> 00:23:34,040
Speaker 1: that could be potentially deadly. I'm going to ask to

449
00:23:34,520 --> 00:23:36,920
Speaker 1: once we can get to our domestic house in order

450
00:23:36,960 --> 00:23:39,359
Speaker 1: and we're no longer doing it, we shouldn't fund China.

451
00:23:39,800 --> 00:23:41,960
Speaker 1: But I really think there needs to be an international

452
00:23:42,119 --> 00:23:46,560
Speaker 1: convention of civilized nations to come together, kind of like

453
00:23:46,640 --> 00:23:49,360
Speaker 1: we've done with chemical weapons and also how we've done

454
00:23:49,400 --> 00:23:52,240
Speaker 1: with nuclear periforation. They're not perfect, but I think we

455
00:23:52,280 --> 00:23:54,960
Speaker 1: could get hundreds of nations to come together and say, look,

456
00:23:55,359 --> 00:23:58,200
Speaker 1: we just had five ten million people die from something

457
00:23:58,280 --> 00:24:00,760
Speaker 1: that probably came from a lab. Can we not all

458
00:24:00,840 --> 00:24:03,600
Speaker 1: sort of agree voluntarily not to do this type of research.

459
00:24:04,160 --> 00:24:05,919
Speaker 1: This is what really has to happen. And this has

460
00:24:05,960 --> 00:24:08,879
Speaker 1: been my main beef with Fauci. It's not about you know,

461
00:24:09,040 --> 00:24:11,320
Speaker 1: I'm right and he's wrong, which is largely true, but

462
00:24:11,400 --> 00:24:15,200
Speaker 1: it's not all about that. It's about trying to prevent

463
00:24:15,320 --> 00:24:20,440
Speaker 1: this from happening. Again, we appreciate it, Thank you so much,

464
00:24:20,600 --> 00:24:23,480
Speaker 1: appreciate you being with us. You don't just vote at

465
00:24:23,520 --> 00:24:25,600
Speaker 1: election time. You vote every month with the money you

466
00:24:25,680 --> 00:24:28,000
Speaker 1: spend and the companies you spend it with. Consider your

467
00:24:28,000 --> 00:24:30,400
Speaker 1: cell phone provider and the bill you're paying this month.

468
00:24:30,480 --> 00:24:33,320
Speaker 1: That payment supports the candidates and issues they choose to

469
00:24:33,359 --> 00:24:36,480
Speaker 1: donate to. You'll be surprised and disappointed by the candidates

470
00:24:36,520 --> 00:24:39,840
Speaker 1: they're supporting. Just leave it at that. But there's a solution.

471
00:24:39,920 --> 00:24:42,320
Speaker 1: It's Pure Talk. Get your cell phone service from Pure Talk.

472
00:24:42,640 --> 00:24:45,120
Speaker 1: They use the exact same towers, the exact same five

473
00:24:45,200 --> 00:24:47,640
Speaker 1: g Network as one of those companies making those donations

474
00:24:47,680 --> 00:24:51,000
Speaker 1: to left leaning candidates with liberal agendas. Pure talk not

475
00:24:51,119 --> 00:24:53,280
Speaker 1: only provides you with great cell phone service at a

476
00:24:53,320 --> 00:24:56,080
Speaker 1: better price, but you get the peace of mind you're

477
00:24:56,119 --> 00:24:59,600
Speaker 1: supporting a veteran run business. Buck, How do people get

478
00:24:59,640 --> 00:25:03,120
Speaker 1: hooked up? It's so hazy, it's so straightforward. Right now,

479
00:25:03,280 --> 00:25:06,840
Speaker 1: from your cell phone, dial pounds two fifty from your

480
00:25:06,880 --> 00:25:09,480
Speaker 1: phone right now, dal pound two fifty and just say

481
00:25:09,600 --> 00:25:13,159
Speaker 1: the words pure talk. You'll save an additional fifty percent

482
00:25:13,359 --> 00:25:17,399
Speaker 1: off your first month. That's dial pounds two five zero

483
00:25:17,920 --> 00:25:26,240
Speaker 1: say pure talk. Welcome back into the Clay Travishan butt

484
00:25:26,280 --> 00:25:29,800
Speaker 1: Sexton the show. We are going to talk economics for

485
00:25:29,920 --> 00:25:33,760
Speaker 1: a second. Here the money in your bank account, your wages,

486
00:25:33,840 --> 00:25:37,360
Speaker 1: the job market, inflation. How expensive is that cheeseburger you're

487
00:25:37,359 --> 00:25:39,600
Speaker 1: hopefully going to get to eat tonight or whatever you choose.

488
00:25:40,280 --> 00:25:42,399
Speaker 1: We have someone who can shed light on all of

489
00:25:42,440 --> 00:25:44,760
Speaker 1: that with us now, Art Laugher. You'll remember him as

490
00:25:44,800 --> 00:25:48,720
Speaker 1: a former Reagan economic advisor, and you know the Laugher curve.

491
00:25:49,000 --> 00:25:51,000
Speaker 1: Art is with us now, sir, great to have you,

492
00:25:51,680 --> 00:25:53,240
Speaker 1: Thank you very much. It's a pleasure to being with

493
00:25:53,359 --> 00:25:55,520
Speaker 1: You can We just have you react because I think

494
00:25:55,560 --> 00:25:57,000
Speaker 1: this is a good way to get us started. Here

495
00:25:57,359 --> 00:26:02,000
Speaker 1: to Commerce Secretary Gina Mondo here on what a great

496
00:26:02,040 --> 00:26:06,359
Speaker 1: economy this is. Play it. It's not that great. I mean,

497
00:26:06,440 --> 00:26:08,920
Speaker 1: we have a shortage of labor. In fact, the number

498
00:26:08,920 --> 00:26:11,800
Speaker 1: of people employed today is way below what it was

499
00:26:11,920 --> 00:26:15,840
Speaker 1: before the pandemic occurred. What we have as a participation

500
00:26:16,000 --> 00:26:18,840
Speaker 1: racer about the lowest rate. Then we've caused all sorts

501
00:26:18,880 --> 00:26:20,760
Speaker 1: of people to leave the labor for us. Now they're

502
00:26:20,800 --> 00:26:23,520
Speaker 1: not unemployed. They just left and went home because we're

503
00:26:23,520 --> 00:26:26,040
Speaker 1: giving them so much in the way of transfer payments

504
00:26:26,080 --> 00:26:29,520
Speaker 1: and welfare that they're just better off being unemployed than

505
00:26:29,560 --> 00:26:31,880
Speaker 1: they are than they are and actually being in there.

506
00:26:31,880 --> 00:26:33,960
Speaker 1: Here we are are we actually have the We actually

507
00:26:33,960 --> 00:26:36,960
Speaker 1: have the sound bite for you. So cut thirteen, play

508
00:26:37,000 --> 00:26:42,280
Speaker 1: it as you say. These are you strong numbers where

509
00:26:42,400 --> 00:26:45,159
Speaker 1: by any measure, now we have a strong economy. You know,

510
00:26:45,520 --> 00:26:48,520
Speaker 1: created over six million jobs last year. We're the only

511
00:26:48,600 --> 00:26:52,560
Speaker 1: economy in the world that is stronger now than pre pandemic.

512
00:26:52,960 --> 00:26:55,560
Speaker 1: And the unemployment rate has fallen like a rock over

513
00:26:55,640 --> 00:26:58,639
Speaker 1: the past year. So we look at those numbers. I mean,

514
00:26:58,920 --> 00:27:01,280
Speaker 1: you know, week to week, months, to month. There are

515
00:27:01,359 --> 00:27:06,040
Speaker 1: small variations, but it's a it's a strong employment picture,

516
00:27:06,160 --> 00:27:10,359
Speaker 1: you know, wages, our jobs or growth is as you say,

517
00:27:10,680 --> 00:27:14,320
Speaker 1: you know, obviously we have inflation and that is what

518
00:27:14,480 --> 00:27:16,280
Speaker 1: we have to deal with, all right, I mean just

519
00:27:16,400 --> 00:27:19,000
Speaker 1: the six million jobs created, can you can you dive

520
00:27:19,040 --> 00:27:20,840
Speaker 1: into that for a second, because that doesn't seem to

521
00:27:20,880 --> 00:27:24,600
Speaker 1: pass the smell test. Well, No, we lost about if

522
00:27:24,640 --> 00:27:27,240
Speaker 1: I'm using the numbers correctly, or we now lost into

523
00:27:27,320 --> 00:27:30,240
Speaker 1: something like nine million in the pandemic, and now we've

524
00:27:30,320 --> 00:27:33,520
Speaker 1: come back six million back, but it's not increasing any longer.

525
00:27:33,880 --> 00:27:36,440
Speaker 1: We've come back there. So we're still three million jobs

526
00:27:36,480 --> 00:27:40,359
Speaker 1: short of what we were at the before the pandemic,

527
00:27:40,480 --> 00:27:43,239
Speaker 1: and we've had population growth since then. So as far

528
00:27:43,320 --> 00:27:46,400
Speaker 1: as participation rates were way below where we were prior

529
00:27:46,480 --> 00:27:49,320
Speaker 1: to the pandemic. It's been collapsing for a long time

530
00:27:49,359 --> 00:27:52,840
Speaker 1: and it's really shown a very sharp deterioration. So people

531
00:27:52,880 --> 00:27:54,520
Speaker 1: have just left the labor force. They don't want to

532
00:27:54,520 --> 00:27:56,840
Speaker 1: work because they're getting paid all these moneys from the government.

533
00:27:57,119 --> 00:27:59,800
Speaker 1: That's what's happening. And when you when when when she says,

534
00:28:00,000 --> 00:28:03,359
Speaker 1: but you have these real these wages rising, that's true.

535
00:28:04,000 --> 00:28:07,679
Speaker 1: Running wages went up four percent or something. Now wages

536
00:28:07,720 --> 00:28:10,080
Speaker 1: went up four percent and inflation went up seven percent.

537
00:28:10,720 --> 00:28:13,440
Speaker 1: If you like that calculation, I've got a bridge to

538
00:28:13,560 --> 00:28:16,720
Speaker 1: sell you. The real wages are going down in this

539
00:28:16,920 --> 00:28:20,040
Speaker 1: country because of inflation and all of that's happy. And

540
00:28:20,160 --> 00:28:22,080
Speaker 1: I just don't know where she got her PhD. But

541
00:28:22,480 --> 00:28:26,520
Speaker 1: it's sure she didn't take it in my class. We're

542
00:28:26,560 --> 00:28:29,399
Speaker 1: talking to our just a misuse of numbers. I've I

543
00:28:29,560 --> 00:28:31,320
Speaker 1: just hate it when people do that because it's not

544
00:28:31,440 --> 00:28:34,399
Speaker 1: true and it leads you too, knows something that's not correct.

545
00:28:35,359 --> 00:28:39,080
Speaker 1: Did we fell our laugher as an as an economist

546
00:28:39,760 --> 00:28:44,320
Speaker 1: that we did not bring your discipline into a discussion

547
00:28:44,440 --> 00:28:49,720
Speaker 1: surrounding shutdowns? We made only the experts in health involved.

548
00:28:49,800 --> 00:28:52,520
Speaker 1: When you look at it purely from an economic perspective,

549
00:28:52,840 --> 00:28:56,760
Speaker 1: how would you assess the decisions made surrounding COVID from

550
00:28:56,800 --> 00:29:01,160
Speaker 1: a shutdown, a lockdown, a taking kids out of school perspective?

551
00:29:01,680 --> 00:29:03,480
Speaker 1: You know what I did was I looked at the

552
00:29:03,520 --> 00:29:06,840
Speaker 1: growth in the economy up through February of two thousand

553
00:29:06,880 --> 00:29:09,240
Speaker 1: and twenty, all right, and then just dot line that

554
00:29:09,400 --> 00:29:12,840
Speaker 1: growth going forward, and how much real GDP have we

555
00:29:13,000 --> 00:29:16,040
Speaker 1: lost because of the pandemic, the lockdowns and masks, all

556
00:29:16,160 --> 00:29:20,840
Speaker 1: that stuff put together, including the transfer payment, it's a huge, huge,

557
00:29:21,000 --> 00:29:24,440
Speaker 1: huge amount. And I don't remember exactly what those numbers were.

558
00:29:24,440 --> 00:29:25,760
Speaker 1: I wish I had my paper in front of me,

559
00:29:25,840 --> 00:29:28,080
Speaker 1: but it's an enormous amount of something like a third

560
00:29:28,160 --> 00:29:31,200
Speaker 1: of all GDP and we're below the trend line where

561
00:29:31,240 --> 00:29:33,040
Speaker 1: we were. Not only below the trend line, but it's

562
00:29:33,080 --> 00:29:37,360
Speaker 1: growing slower. GDP growth is not keeping up with past numbers,

563
00:29:38,000 --> 00:29:39,840
Speaker 1: and it didn't catch up the way it should have.

564
00:29:39,960 --> 00:29:43,640
Speaker 1: So all of this counting growth in jobs from the

565
00:29:43,760 --> 00:29:46,360
Speaker 1: bottom to the bottom to where we are now, it's

566
00:29:46,480 --> 00:29:48,800
Speaker 1: way below what we should have had in job growth

567
00:29:49,160 --> 00:29:51,440
Speaker 1: just to catch back up to where we were in

568
00:29:51,960 --> 00:29:54,520
Speaker 1: February of two thousand and twenty. It's, you know, we've

569
00:29:54,560 --> 00:29:56,320
Speaker 1: got a long way to go to catch up, and

570
00:29:56,440 --> 00:29:58,040
Speaker 1: then we've got a long way to go to make

571
00:29:58,120 --> 00:30:00,640
Speaker 1: up for the losses that we had. It's this is

572
00:30:00,720 --> 00:30:04,160
Speaker 1: not a pretty picture, I'm sorry to say, and I

573
00:30:04,240 --> 00:30:06,200
Speaker 1: wish they wouldn't say it, but they keep saying that

574
00:30:06,280 --> 00:30:08,760
Speaker 1: they I mean, does anyone think their wages are really

575
00:30:08,840 --> 00:30:11,280
Speaker 1: going up just because they get a dollar increase in wages?

576
00:30:11,320 --> 00:30:13,920
Speaker 1: And the price of goods you buy goes up two dollars.

577
00:30:14,160 --> 00:30:16,560
Speaker 1: I don't think so. We're speaking Art laugh for former

578
00:30:16,600 --> 00:30:21,880
Speaker 1: Reagan economic advisor and Art So what would happen if

579
00:30:21,920 --> 00:30:24,040
Speaker 1: they actually We keep hearing from Biden. One of the

580
00:30:24,080 --> 00:30:26,680
Speaker 1: primary talking points for how this is all going to

581
00:30:26,720 --> 00:30:29,640
Speaker 1: turn around is that the build back better plan will

582
00:30:29,680 --> 00:30:32,560
Speaker 1: make everything cheaper, which to those of us who are

583
00:30:32,600 --> 00:30:36,440
Speaker 1: looking at inflation and government spending and the relationship thereof say,

584
00:30:37,240 --> 00:30:39,320
Speaker 1: what do they not get here? But is can you

585
00:30:39,400 --> 00:30:42,520
Speaker 1: explain to us exactly how what their argument is and

586
00:30:42,840 --> 00:30:45,400
Speaker 1: whether it holds water? Well? I'll try to. I mean,

587
00:30:45,480 --> 00:30:47,600
Speaker 1: you know, have you ever heard of a poor person

588
00:30:47,720 --> 00:30:51,920
Speaker 1: spending himself into wealth? Of course not. They're proposing we

589
00:30:52,080 --> 00:30:55,719
Speaker 1: have a bad economy and we want to take resources

590
00:30:55,760 --> 00:30:58,280
Speaker 1: away from people who work and give them to people

591
00:30:58,320 --> 00:31:01,280
Speaker 1: who don't work. And you know, if you task people

592
00:31:01,320 --> 00:31:04,400
Speaker 1: who work and pay people who don't work, you're going

593
00:31:04,440 --> 00:31:06,280
Speaker 1: to get a lot of people not working. And that

594
00:31:06,480 --> 00:31:09,600
Speaker 1: is exactly what's happened in the US economy. The only

595
00:31:09,680 --> 00:31:12,160
Speaker 1: thing is they're not going on the unemployment roles. That's true.

596
00:31:12,200 --> 00:31:15,720
Speaker 1: They're going home and taking their payment checks and living

597
00:31:15,880 --> 00:31:20,280
Speaker 1: nicely without working. Without even trying to work. So what

598
00:31:20,520 --> 00:31:23,160
Speaker 1: should we be doing from your perspective? You talked about

599
00:31:23,200 --> 00:31:25,320
Speaker 1: the graph that you did. Starting back in February of

600
00:31:25,400 --> 00:31:28,880
Speaker 1: twenty twenty, things were on fire in the Trump economy.

601
00:31:29,080 --> 00:31:32,640
Speaker 1: Everything was working well, and then COVID arrived, almost like

602
00:31:32,800 --> 00:31:35,880
Speaker 1: a neutron bomb that goes off there. What should we

603
00:31:36,040 --> 00:31:38,480
Speaker 1: be doing right now if we wanted to try to

604
00:31:38,560 --> 00:31:41,160
Speaker 1: get back to the growth trajectory that we had in

605
00:31:41,240 --> 00:31:43,800
Speaker 1: February of twenty twenty, Let me first say what I

606
00:31:43,880 --> 00:31:46,320
Speaker 1: think we should have done. Then we should have had

607
00:31:46,400 --> 00:31:50,080
Speaker 1: one bill of maybe a trillion dollars, maybe less than that.

608
00:31:50,240 --> 00:31:51,960
Speaker 1: Just one not the three and a half trillion that

609
00:31:52,080 --> 00:31:54,840
Speaker 1: was done then by the President in Congress, and not

610
00:31:55,000 --> 00:31:57,160
Speaker 1: the three point two trillion that was done by Biden

611
00:31:57,200 --> 00:31:59,760
Speaker 1: when he forgot into and not the six trillion that

612
00:31:59,840 --> 00:32:02,200
Speaker 1: he wants to do. Is build back better. Just one

613
00:32:02,280 --> 00:32:05,920
Speaker 1: bill to do operation work, speed, find that cure, find

614
00:32:06,000 --> 00:32:08,719
Speaker 1: the remedies as fast as you possibly can. Trump did

615
00:32:08,800 --> 00:32:12,840
Speaker 1: that beautifully. It was just a wonderful use of government

616
00:32:12,920 --> 00:32:16,360
Speaker 1: and government resources to find a solution to a problem

617
00:32:16,520 --> 00:32:20,680
Speaker 1: really quickly. He deregulated the healthcare industries and the laboratories

618
00:32:20,720 --> 00:32:23,680
Speaker 1: and all of that, and we got a vaccine within

619
00:32:23,800 --> 00:32:27,240
Speaker 1: a year. That's incredible. We got all these other remedies

620
00:32:27,280 --> 00:32:30,640
Speaker 1: as well, all this other stuff that was just unbelievable.

621
00:32:31,040 --> 00:32:33,880
Speaker 1: That's all that should have been done. Now, there are

622
00:32:33,960 --> 00:32:37,240
Speaker 1: people who lost their jobs, that's true, but everyone lost.

623
00:32:37,920 --> 00:32:41,800
Speaker 1: And you know, whenever you transfer money, if you take

624
00:32:41,880 --> 00:32:44,280
Speaker 1: from someone who's rich and you give the money to

625
00:32:44,360 --> 00:32:48,280
Speaker 1: someone who's poor, by taking from the rich person, reduce

626
00:32:48,360 --> 00:32:50,720
Speaker 1: that person sent incentives to work, and he's going to

627
00:32:50,760 --> 00:32:53,400
Speaker 1: work less. She's going to work less. If you give

628
00:32:53,440 --> 00:32:55,840
Speaker 1: it to someone who's poor, you provide them with an

629
00:32:55,880 --> 00:32:58,720
Speaker 1: alternative source of income, and they too are going to

630
00:32:58,800 --> 00:33:03,920
Speaker 1: work less. Whenever your transfer resources, you cause a reduction

631
00:33:03,960 --> 00:33:06,640
Speaker 1: in output, employment and production. And that's just what we've

632
00:33:06,720 --> 00:33:09,520
Speaker 1: done in the last two years, two and a half years,

633
00:33:09,880 --> 00:33:13,880
Speaker 1: and it's terrible and you're seeing the consequences everywhere. It's

634
00:33:13,960 --> 00:33:16,960
Speaker 1: not an unemployment rates, you've got a supply side problem. Now.

635
00:33:17,360 --> 00:33:19,360
Speaker 1: People don't want to work because they're getting paid too

636
00:33:19,480 --> 00:33:22,640
Speaker 1: much by the government and they don't feel the necessity

637
00:33:22,680 --> 00:33:25,200
Speaker 1: of having to go to work, and it's going to

638
00:33:25,520 --> 00:33:28,720
Speaker 1: ur in very detrimentally to the long term prosperity of

639
00:33:28,800 --> 00:33:30,960
Speaker 1: the US. Believe me when I tell you if you

640
00:33:31,040 --> 00:33:34,360
Speaker 1: could get art before we let you go sixty seconds

641
00:33:34,480 --> 00:33:37,600
Speaker 1: or so with Biden and whoever actually makes the decisions

642
00:33:37,680 --> 00:33:39,640
Speaker 1: in this White House around him. But let's just say

643
00:33:40,000 --> 00:33:43,200
Speaker 1: we'll stipulate Biden and his top advisors in the Oval Office,

644
00:33:43,560 --> 00:33:45,640
Speaker 1: and just for the good of the American economy and

645
00:33:45,680 --> 00:33:47,960
Speaker 1: the American people, what would you tell them to do

646
00:33:48,560 --> 00:33:51,840
Speaker 1: that you think theoretically the Democrats may be willing to

647
00:33:51,920 --> 00:33:54,400
Speaker 1: go along with or at least consider if they get

648
00:33:54,520 --> 00:33:57,480
Speaker 1: crushed this fall. Well, the one thing I think that

649
00:33:57,560 --> 00:33:59,880
Speaker 1: the Democrats may be willing to consider that would be

650
00:34:00,160 --> 00:34:03,160
Speaker 1: very good was have a payroll tax rate reduction. I mean,

651
00:34:03,280 --> 00:34:05,640
Speaker 1: just reduce the payroll tax to half of what it

652
00:34:05,800 --> 00:34:09,120
Speaker 1: is now, and then you would incentivize workers to come

653
00:34:09,160 --> 00:34:11,560
Speaker 1: back to work and you would be able to increase

654
00:34:11,560 --> 00:34:13,920
Speaker 1: their incentive to go. I was hoping to get one

655
00:34:14,000 --> 00:34:16,480
Speaker 1: comment with you on Ukraine though, if if you guys

656
00:34:16,560 --> 00:34:20,040
Speaker 1: are interested in one quick comment, sure, because you know,

657
00:34:20,120 --> 00:34:21,759
Speaker 1: when you look at a Ukraine and I've been there,

658
00:34:21,800 --> 00:34:25,080
Speaker 1: I've spent some time there, I'm passibly knowledgeable on it.

659
00:34:26,080 --> 00:34:29,360
Speaker 1: You know, the damage is already done with the troops.

660
00:34:29,880 --> 00:34:33,120
Speaker 1: You know, a credible threat as the Soviets opposed on

661
00:34:33,200 --> 00:34:37,720
Speaker 1: the border achieves what a military victory could only achieve,

662
00:34:38,160 --> 00:34:41,960
Speaker 1: but it does it without the use of force. Who's

663
00:34:42,000 --> 00:34:45,520
Speaker 1: going to invest in the Ukraine today? No one. I

664
00:34:45,600 --> 00:34:48,040
Speaker 1: don't care what happens on the boarder there. No one's

665
00:34:48,080 --> 00:34:53,160
Speaker 1: going to invest. Ukraine has already been disastrously damaged. If

666
00:34:53,200 --> 00:34:58,880
Speaker 1: you're remembered, before Porschenko, the Yukonovivic was a pro Russian

667
00:34:59,000 --> 00:35:01,960
Speaker 1: president of the u Rain. Now Zelinski now is not.

668
00:35:02,600 --> 00:35:04,920
Speaker 1: But with this type of pressure on the Ukraine, there

669
00:35:05,080 --> 00:35:07,799
Speaker 1: is no way from Sunday they're going to come back

670
00:35:07,880 --> 00:35:13,279
Speaker 1: and be a productive, healthy nation for a long, long time.

671
00:35:14,239 --> 00:35:16,400
Speaker 1: Art really quick question. I told my kids that I

672
00:35:16,440 --> 00:35:20,000
Speaker 1: would ask you about this. How has Ferris Bueller changed

673
00:35:20,080 --> 00:35:22,440
Speaker 1: your life? The fact that you were mentioned in that movie.

674
00:35:23,000 --> 00:35:24,440
Speaker 1: I loved it. I mean it was sort of fun.

675
00:35:24,520 --> 00:35:26,759
Speaker 1: I enjoyed it very very much. I mean I was

676
00:35:26,840 --> 00:35:29,600
Speaker 1: caught flatfooted when I saw it the first time. I

677
00:35:29,719 --> 00:35:31,640
Speaker 1: know ben Stein and knew his father very well. But

678
00:35:31,760 --> 00:35:33,600
Speaker 1: my kids loved it too. I've got six kids, I've

679
00:35:33,600 --> 00:35:36,960
Speaker 1: got thirteen grandchildren, four great grandchildren. They love that team.

680
00:35:36,960 --> 00:35:38,479
Speaker 1: I just play it over and over and over again

681
00:35:38,560 --> 00:35:40,759
Speaker 1: for him. But it did bother me. If I may say,

682
00:35:41,160 --> 00:35:43,839
Speaker 1: all those students sitting there with their faces on the desk,

683
00:35:43,920 --> 00:35:46,560
Speaker 1: drooling all over the desk and not paying attention. I

684
00:35:46,640 --> 00:35:49,080
Speaker 1: mean in my classes, I'd have snapped them out of that.

685
00:35:49,800 --> 00:35:52,399
Speaker 1: There we go, aren't laugh for everybody? Great question, Clay?

686
00:35:52,520 --> 00:35:55,040
Speaker 1: All right, thanks so much, Hey, thanks doc to you.

687
00:35:55,680 --> 00:35:57,600
Speaker 1: For many folks, this is the end of another busy

688
00:35:57,640 --> 00:35:59,399
Speaker 1: work week, and how many of you woke up today

689
00:35:59,400 --> 00:36:03,200
Speaker 1: and found yourself contending with pain. You don't have to

690
00:36:03,280 --> 00:36:05,799
Speaker 1: have the most of demanding physical jobs to feel that pain.

691
00:36:05,880 --> 00:36:09,279
Speaker 1: You know that it can come as the result of aging, exercise,

692
00:36:09,400 --> 00:36:12,520
Speaker 1: over exertion, just everyday living. But there is a solution

693
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Speaker 1: out there. It's called relief Factor. Created by doctors and

694
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Speaker 1: perfected over fifteen years of scientific research, relief Factor was

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Speaker 1: made for you with four key ingredients. Relief Factor is

696
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Speaker 1: a one hundred percent drug free product which addresses joint, knee, hit,

697
00:36:26,440 --> 00:36:29,920
Speaker 1: backneck and shoulder pain. Hundreds of thousands of people have

698
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Speaker 1: ordered relief Factor, and about seventy percent of them go

699
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700
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Speaker 1: you have a seven and ten chance to eliminate it.

701
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Speaker 1: Those are pretty good odds, right, And what do you

702
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Speaker 1: have to lose? Look? Joshua in New Jersey took his

703
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Speaker 1: chances with Relief Factor. He shares the most unusual story.

704
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Speaker 1: He was in pain for years after being hit by

705
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Speaker 1: a van while crossing the street an NYC. Taking Relief Factor,

706
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Speaker 1: he felt good for the first time in years. He

707
00:36:51,600 --> 00:36:53,400
Speaker 1: could play with his children again. It feels like he

708
00:36:53,440 --> 00:36:55,600
Speaker 1: got his life back. Clay, how do our people get

709
00:36:55,640 --> 00:36:58,080
Speaker 1: hooked up? Join them? More than half a million people

710
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711
00:37:01,719 --> 00:37:04,480
Speaker 1: Go to Relief Factor dot com or call eight hundred

712
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713
00:37:07,680 --> 00:37:11,319
Speaker 1: developed for you relief Factor dot Com or you can

714
00:37:11,440 --> 00:37:21,000
Speaker 1: call eight hundred the number four Relief. Welcome back at Clay, Travis,

715
00:37:21,120 --> 00:37:24,040
Speaker 1: but Sexton Show appreciate all of you hanging out with us.

716
00:37:24,160 --> 00:37:29,080
Speaker 1: Man he was good, Ard Laugher, great economists like the

717
00:37:29,160 --> 00:37:31,920
Speaker 1: mail man. He always delivers. Oh, he was fantastic, And

718
00:37:32,000 --> 00:37:33,800
Speaker 1: we're gonna play you that cut For those of you

719
00:37:33,960 --> 00:37:37,240
Speaker 1: out there who may not be familiar with the final

720
00:37:37,360 --> 00:37:39,720
Speaker 1: question that I was asking him about the Ferrest, Bueller

721
00:37:40,400 --> 00:37:43,720
Speaker 1: related that that is one of the most iconic moments

722
00:37:43,760 --> 00:37:48,040
Speaker 1: in nineteen eighties movies, and his name being dropped in there.

723
00:37:48,440 --> 00:37:50,960
Speaker 1: I think he mentioned he has six kids, thirteen grandkids,

724
00:37:51,040 --> 00:37:54,480
Speaker 1: four great grandkids, and the fact that they to a

725
00:37:54,640 --> 00:37:57,880
Speaker 1: large extent, have have embraced that doesn't surprise me at

726
00:37:57,920 --> 00:38:00,719
Speaker 1: all because he was such a young guy when he

727
00:38:00,920 --> 00:38:05,360
Speaker 1: was advising Ronald Reagan, and the impact of his economic

728
00:38:05,480 --> 00:38:09,800
Speaker 1: theories have been so monumental. It really is a shame

729
00:38:10,239 --> 00:38:15,040
Speaker 1: that people like art are not more involved right now.

730
00:38:15,120 --> 00:38:16,640
Speaker 1: And to his point book, I think it's a really

731
00:38:16,719 --> 00:38:19,560
Speaker 1: good one. They are selling you a bill of goods

732
00:38:20,000 --> 00:38:22,520
Speaker 1: when they try to say, hey, this is the fastest

733
00:38:22,600 --> 00:38:25,480
Speaker 1: economic expansion we've ever seen. No, no, no, no. When

734
00:38:25,560 --> 00:38:29,239
Speaker 1: we made ten million people not work, you don't get

735
00:38:29,360 --> 00:38:33,719
Speaker 1: credit for six million of those people coming back to work,

736
00:38:34,200 --> 00:38:36,839
Speaker 1: because we're still talking about I think it's three point

737
00:38:36,960 --> 00:38:41,160
Speaker 1: six million people that had jobs in February of twenty

738
00:38:41,280 --> 00:38:46,480
Speaker 1: twenty that are not working today. That's a monumental detriment

739
00:38:46,840 --> 00:38:49,719
Speaker 1: in terms of our overall economic policy. I mean, think

740
00:38:49,719 --> 00:38:52,640
Speaker 1: about it this way. It's as though the Biden administration,

741
00:38:53,360 --> 00:38:57,880
Speaker 1: after mandating all these different COVID restrictions, and as we know,

742
00:38:58,719 --> 00:39:01,920
Speaker 1: they were able to use their leverage with federal funding

743
00:39:01,960 --> 00:39:03,759
Speaker 1: for hospitals to get hospitals to go along with this

744
00:39:03,840 --> 00:39:06,279
Speaker 1: and all across the board. But just in general, the

745
00:39:06,440 --> 00:39:11,280
Speaker 1: Democrat Party even more broadly said we're shutting down restaurants,

746
00:39:11,320 --> 00:39:13,239
Speaker 1: We're shutting down sports r and there's all these things

747
00:39:13,320 --> 00:39:17,400
Speaker 1: that have happened during the the Biden presidency at different

748
00:39:17,440 --> 00:39:20,040
Speaker 1: stages and in different ways. If you shut down all

749
00:39:20,040 --> 00:39:22,239
Speaker 1: the restaurants in a city and then you get and

750
00:39:22,280 --> 00:39:24,120
Speaker 1: then you open them back up, you don't get to

751
00:39:24,239 --> 00:39:28,200
Speaker 1: say I'm the greatest restaurant tour in the history of

752
00:39:28,320 --> 00:39:30,279
Speaker 1: this city. Like that doesn't work, you know. And then

753
00:39:30,400 --> 00:39:33,480
Speaker 1: basically what they're doing with job creation, they're like, Okay,

754
00:39:33,520 --> 00:39:35,839
Speaker 1: well now you can have your job again. You didn't

755
00:39:35,880 --> 00:39:39,000
Speaker 1: create that job. You just stopped stealing that job from

756
00:39:39,040 --> 00:39:41,759
Speaker 1: the people who had it. And it wasn't your economic

757
00:39:41,920 --> 00:39:44,400
Speaker 1: policies that led to those people being able to come

758
00:39:44,440 --> 00:39:47,200
Speaker 1: back to work. If anything, your policies have made the

759
00:39:47,320 --> 00:39:50,120
Speaker 1: recovery even slower. We have that clip. By the way,

760
00:39:50,360 --> 00:39:53,839
Speaker 1: I'm a huge fan of Ferress Bueller. If if by

761
00:39:53,960 --> 00:39:56,680
Speaker 1: chance there is anyone out there listening to us right

762
00:39:56,760 --> 00:40:00,279
Speaker 1: now that has never watched Ferris Bueller's Day Off. You good,

763
00:40:00,600 --> 00:40:03,840
Speaker 1: But this is what Art Laugher getting name dropped in

764
00:40:04,160 --> 00:40:07,720
Speaker 1: during the economics lecture sounded like in that movie. Today

765
00:40:07,880 --> 00:40:10,480
Speaker 1: we have a similar debate over this. Anyone know what

766
00:40:10,600 --> 00:40:16,800
Speaker 1: this is class? Anyone, anyone, anyone's seen this before the

767
00:40:17,000 --> 00:40:20,880
Speaker 1: Laugher curve. Anyone know what this says. It says that

768
00:40:21,040 --> 00:40:24,839
Speaker 1: at this point on the revenue curve you will get

769
00:40:24,960 --> 00:40:28,439
Speaker 1: exactly the same amount of revenue as at this point.

770
00:40:29,239 --> 00:40:32,320
Speaker 1: So the argument, obviously, which was underlying so much of

771
00:40:32,480 --> 00:40:37,080
Speaker 1: Ronald Reagan's economics, was if you cut taxes and deregulate,

772
00:40:37,640 --> 00:40:40,520
Speaker 1: you are going to end up with more tax revenue

773
00:40:41,000 --> 00:40:44,480
Speaker 1: as a result of the growth that will instill from

774
00:40:44,640 --> 00:40:47,160
Speaker 1: the lower tax rates, which, by the way, I think

775
00:40:47,160 --> 00:40:50,480
Speaker 1: it's right and Donald trump policies book, And this is

776
00:40:50,520 --> 00:40:53,640
Speaker 1: what's so frustrating about when COVID hit is frustrating on

777
00:40:53,760 --> 00:40:56,279
Speaker 1: so many different levels. But if you go back and

778
00:40:56,480 --> 00:40:59,480
Speaker 1: look at February of twenty twenty, right before COVID hit,

779
00:40:59,760 --> 00:41:03,279
Speaker 1: we had the lowest unemployment rate in modern history. We

780
00:41:03,400 --> 00:41:07,239
Speaker 1: had the highest wage growth white, Black, Asian, Hispanic didn't matter.

781
00:41:07,400 --> 00:41:11,400
Speaker 1: Everybody was benefiting. We had a surging economy the likes

782
00:41:11,440 --> 00:41:14,880
Speaker 1: of which we frankly had never seen before in the

783
00:41:15,080 --> 00:41:20,080
Speaker 1: history of America. His policies were working so well, so

784
00:41:20,320 --> 00:41:23,600
Speaker 1: well in fact, Buck that even today, as we're talking

785
00:41:24,000 --> 00:41:28,000
Speaker 1: in almost February of twenty twenty two, two years later,

786
00:41:28,440 --> 00:41:30,800
Speaker 1: we still haven't gotten back to where we were in

787
00:41:30,920 --> 00:41:33,680
Speaker 1: February of twenty twenty. Well, this is why I mean

788
00:41:33,760 --> 00:41:37,920
Speaker 1: the Commies, the Democrat Marxists in our midst it's really

789
00:41:37,960 --> 00:41:40,360
Speaker 1: a faith based tradition for them, actually that they were

790
00:41:40,480 --> 00:41:42,279
Speaker 1: lying on. And I can give you an example of this,

791
00:41:42,400 --> 00:41:44,719
Speaker 1: right because Claire, you're talking about the results that we

792
00:41:44,840 --> 00:41:47,520
Speaker 1: all felt that were real, that actually happened, that people

793
00:41:47,560 --> 00:41:50,800
Speaker 1: could see and feel. But what was the truth of

794
00:41:50,880 --> 00:41:53,960
Speaker 1: the Obama administration? At one point, you'll remember, it was

795
00:41:54,040 --> 00:41:58,000
Speaker 1: posed to President then President Obama, Well, if raising taxes

796
00:41:58,200 --> 00:42:00,800
Speaker 1: is going to hurt growth, productivity, and jobs, isn't that

797
00:42:00,880 --> 00:42:02,520
Speaker 1: a bad idea? And he would just say it's the

798
00:42:02,680 --> 00:42:07,040
Speaker 1: right thing to do. Essentially, punishing people with greater taxation

799
00:42:07,520 --> 00:42:10,680
Speaker 1: even if it hurts the broader economy is a function

800
00:42:10,760 --> 00:42:13,640
Speaker 1: of morality, not a function of economics, and when you

801
00:42:13,760 --> 00:42:18,560
Speaker 1: start to see that, that is the primary motivation for

802
00:42:18,719 --> 00:42:21,000
Speaker 1: a lot of what the Democrats do. This idea they're

803
00:42:21,000 --> 00:42:23,239
Speaker 1: going to create greater fairness, even if they have to

804
00:42:23,320 --> 00:42:26,600
Speaker 1: make greater misery to get us there. That's why it

805
00:42:26,719 --> 00:42:29,120
Speaker 1: doesn't matter what the results under Trump were. That's why

806
00:42:29,200 --> 00:42:30,879
Speaker 1: the fact that they kept saying he would crash the egg.

807
00:42:30,880 --> 00:42:33,640
Speaker 1: Remember Paul Krugman, the knight of the election, all the

808
00:42:33,719 --> 00:42:36,520
Speaker 1: downs down or futures are down five hundred points. Back

809
00:42:36,520 --> 00:42:39,919
Speaker 1: in twenty sixteen, Trump's economy was phenomenal. They don't care.

810
00:42:40,360 --> 00:42:41,840
Speaker 1: They want to be in charge, and they want to

811
00:42:41,960 --> 00:42:45,279
Speaker 1: tax you more because, as Obama said, Clay, it's the

812
00:42:45,440 --> 00:42:48,600
Speaker 1: right thing to do. We're gonna come back. Third hour,

813
00:42:48,840 --> 00:42:51,960
Speaker 1: Final hour of the week, Buck, We've got Ian Miller.

814
00:42:52,200 --> 00:42:55,200
Speaker 1: We share a lot of his grass on the failure

815
00:42:55,320 --> 00:42:57,839
Speaker 1: of our pandemic response. He's got a book coming out,

816
00:42:58,160 --> 00:43:00,279
Speaker 1: but I think you guys are going to enjoy just

817
00:43:00,360 --> 00:43:03,200
Speaker 1: some raw data that's coming up to close out the

818
00:43:03,360 --> 00:43:06,560
Speaker 1: final hour of the program. We appreciate you hanging out

819
00:43:06,600 --> 00:43:08,600
Speaker 1: with us. Go subscribe to the podcast. Make sure you

820
00:43:08,719 --> 00:43:12,359
Speaker 1: don't miss a single moment out there. This is Clay

821
00:43:12,560 --> 00:43:19,600
Speaker 1: and Buck Show. You're listening to Clay Travis and Buck

822
00:43:19,680 --> 00:43:31,760
Speaker 1: Sexton fund the EIB Network. Welcome back in Clay Travis

823
00:43:31,880 --> 00:43:34,319
Speaker 1: Buck Sexton Show. I hope all of you are having

824
00:43:34,480 --> 00:43:38,719
Speaker 1: fantastic Fridays. I hope you're gonna have spectacular Weekend's gonna

825
00:43:38,760 --> 00:43:42,520
Speaker 1: go check out NFL playoff game in my hometown of Nashville.

826
00:43:42,560 --> 00:43:46,400
Speaker 1: Cincinnati Bengals coming to town taking the boys. Hopefully the

827
00:43:46,480 --> 00:43:50,000
Speaker 1: Titans can win a game. We bring in now Ian Miller,

828
00:43:50,120 --> 00:43:54,920
Speaker 1: who I found online because he does such incredible data

829
00:43:55,000 --> 00:44:00,640
Speaker 1: analysis and graphs. He's at Ian m s See. I

830
00:44:00,800 --> 00:44:03,880
Speaker 1: just tweeted out his handle. If you are active on

831
00:44:04,040 --> 00:44:08,719
Speaker 1: social media, I encourage you to follow him. Ian. You

832
00:44:09,560 --> 00:44:12,600
Speaker 1: take a great deal of glee in pointing out the

833
00:44:12,719 --> 00:44:17,640
Speaker 1: absurdity of mask and vaccine mandates in terms of stopping

834
00:44:17,719 --> 00:44:21,440
Speaker 1: the spread of COVID. In any way, When did you

835
00:44:21,600 --> 00:44:27,000
Speaker 1: start to make these graphs? And how much viewership have

836
00:44:27,200 --> 00:44:29,719
Speaker 1: your graphs gotten over time? Do you have any real

837
00:44:29,840 --> 00:44:35,120
Speaker 1: idea you're doing the Lord's work here and sharing this stuff. Well,

838
00:44:35,200 --> 00:44:38,359
Speaker 1: thank you very much. I started doing it. I would

839
00:44:38,400 --> 00:44:41,000
Speaker 1: say last summer. I was really when it really took off.

840
00:44:41,560 --> 00:44:44,080
Speaker 1: I know it's it's the numbers are pretty crazy. You

841
00:44:44,120 --> 00:44:47,160
Speaker 1: on Twitter has a shows you with the analytics and

842
00:44:47,200 --> 00:44:49,759
Speaker 1: it's you know, it's tens of millions of views per month,

843
00:44:49,840 --> 00:44:52,920
Speaker 1: which is fantastic. And I know it's gotten into the

844
00:44:53,000 --> 00:44:56,360
Speaker 1: hands of some some very influential political people, of leaders

845
00:44:56,400 --> 00:44:59,920
Speaker 1: and politicians. So I've been very humbled and grateful to

846
00:45:00,080 --> 00:45:03,239
Speaker 1: it's done as well as that has ian. You know,

847
00:45:03,440 --> 00:45:06,719
Speaker 1: we've got this this book out this week, Unmasked, the

848
00:45:06,880 --> 00:45:10,440
Speaker 1: Global Failure of COVID Mask Mandates. That's like one of

849
00:45:10,480 --> 00:45:12,640
Speaker 1: my favorite book titles I've been able to read out

850
00:45:12,680 --> 00:45:14,960
Speaker 1: loud in a long time because, as I was just describing,

851
00:45:15,440 --> 00:45:18,759
Speaker 1: I am an anti masking fanatic. I think that this

852
00:45:18,920 --> 00:45:22,600
Speaker 1: is insane and horrifying, and it's a mass hysteria and

853
00:45:22,680 --> 00:45:24,880
Speaker 1: has been from the very beginning. What are some of them?

854
00:45:24,920 --> 00:45:26,200
Speaker 1: I mean what you know, as you know, this is

855
00:45:26,280 --> 00:45:28,960
Speaker 1: still highly contentious, and there are a lot of people

856
00:45:29,040 --> 00:45:31,719
Speaker 1: who think of themselves is very smart. They're not, but

857
00:45:31,840 --> 00:45:34,240
Speaker 1: they have big perches in the media and in government

858
00:45:34,440 --> 00:45:38,959
Speaker 1: who still take it as effectively settled science that mask

859
00:45:39,080 --> 00:45:42,000
Speaker 1: mandates work. You've got this book Unmasked. You're looking at

860
00:45:42,040 --> 00:45:44,800
Speaker 1: all the data. Just give us some of your best stuff.

861
00:45:44,800 --> 00:45:46,719
Speaker 1: I mean, what are some of your best punches at

862
00:45:46,800 --> 00:45:52,000
Speaker 1: the fauciite mask madness? Right? Well, I think one of

863
00:45:52,040 --> 00:45:54,960
Speaker 1: the best examples is in California, where you know, you

864
00:45:55,040 --> 00:45:57,080
Speaker 1: have Los Angeles, which has been as devoted to this

865
00:45:57,200 --> 00:45:59,719
Speaker 1: as anybody. In Los Angeles has essentially been under a

866
00:45:59,760 --> 00:46:02,920
Speaker 1: mask mandates since April of twenty twenty and has some

867
00:46:03,040 --> 00:46:05,640
Speaker 1: of the highest, you know, COVID case rates in the world,

868
00:46:05,719 --> 00:46:09,160
Speaker 1: death rates in the world as well, and people The

869
00:46:09,280 --> 00:46:11,520
Speaker 1: La County Public Health Department just recently put out a

870
00:46:11,560 --> 00:46:14,080
Speaker 1: press releasing that they've measured businesses went around it had

871
00:46:14,160 --> 00:46:17,279
Speaker 1: ninety five plus some people were wearing masks, and La

872
00:46:17,640 --> 00:46:20,239
Speaker 1: reported one of the highest individual case rates that we've

873
00:46:20,239 --> 00:46:23,240
Speaker 1: seen anywhere in the United States recently. So they're measuring

874
00:46:23,320 --> 00:46:26,360
Speaker 1: it as everybody's wearing it. It's still not working. The

875
00:46:26,640 --> 00:46:29,640
Speaker 1: numbers are still skyrocketing through the roof and there, and

876
00:46:29,719 --> 00:46:31,640
Speaker 1: there's many examples of that. But that's one of my favorites,

877
00:46:31,719 --> 00:46:34,440
Speaker 1: just because we know for a fact that everybody's complying

878
00:46:34,560 --> 00:46:38,680
Speaker 1: here in California and it's it's not working. So if

879
00:46:38,760 --> 00:46:42,000
Speaker 1: it's not working, we saw in England, and you can say, well,

880
00:46:42,040 --> 00:46:44,360
Speaker 1: it's because Boris Johnson is under a great deal of

881
00:46:44,440 --> 00:46:48,160
Speaker 1: political pressure, but it's almost like that pressure gave him

882
00:46:48,200 --> 00:46:51,080
Speaker 1: the confidence to finally do what the data has shown

883
00:46:51,160 --> 00:46:53,920
Speaker 1: him for a long time, which is to eliminate their

884
00:46:54,000 --> 00:46:58,919
Speaker 1: national mask mandate and also to eliminate their vaccine passports.

885
00:46:59,600 --> 00:47:02,040
Speaker 1: The day Ada is the exact same, if not more so,

886
00:47:02,360 --> 00:47:07,000
Speaker 1: in the United States. When will any politician on the

887
00:47:07,080 --> 00:47:10,200
Speaker 1: Democratic side of the aisle, in your opinion, based on

888
00:47:10,320 --> 00:47:13,480
Speaker 1: what you are seeing, actually have the confidence to say

889
00:47:13,719 --> 00:47:19,160
Speaker 1: anything similar to what Boris Johnson said, It's a great question.

890
00:47:19,480 --> 00:47:21,600
Speaker 1: I don't know that it's going to happen anytime soon.

891
00:47:21,760 --> 00:47:24,600
Speaker 1: I know Jared Polis from Colorado was the closest and

892
00:47:24,840 --> 00:47:27,560
Speaker 1: he basically said, you know, other states have done this,

893
00:47:27,640 --> 00:47:31,080
Speaker 1: We're not seeing better results there. It requires the willingness

894
00:47:31,120 --> 00:47:33,160
Speaker 1: to kind of admit that everything that they were doing

895
00:47:33,239 --> 00:47:35,840
Speaker 1: for the last two years didn't work and never worked,

896
00:47:36,000 --> 00:47:40,239
Speaker 1: and that is very tougher politicians to do. And I

897
00:47:40,280 --> 00:47:43,080
Speaker 1: think Boris Johnson had the you know, he was giving

898
00:47:43,120 --> 00:47:45,400
Speaker 1: criticism from his own side of the aisle, and unfortunately

899
00:47:45,600 --> 00:47:48,759
Speaker 1: Democrats are not criticizing each other. You know, they're not

900
00:47:48,840 --> 00:47:51,040
Speaker 1: saying we should end mass man if they're just doing

901
00:47:51,120 --> 00:47:52,759
Speaker 1: more of it. There's now it's we're going to send

902
00:47:52,800 --> 00:47:56,120
Speaker 1: four hundred million and ninety five masks out there, which

903
00:47:56,160 --> 00:47:58,279
Speaker 1: will be just as useless, says the other ones. And

904
00:47:58,480 --> 00:48:00,120
Speaker 1: you know, for following on Twitter, US know post that

905
00:48:00,239 --> 00:48:02,440
Speaker 1: Germany already does this. They already have in ninety five

906
00:48:02,520 --> 00:48:05,440
Speaker 1: mandates in cases there are a record highs right now.

907
00:48:05,560 --> 00:48:07,640
Speaker 1: So I don't know when that's going to happen. I

908
00:48:07,719 --> 00:48:09,480
Speaker 1: hope it's soon, but I don't I don't see it

909
00:48:09,560 --> 00:48:12,480
Speaker 1: happening anytime soon right now. Ian. That's that's very interesting

910
00:48:12,520 --> 00:48:15,920
Speaker 1: because you know, early on some of the masks studies,

911
00:48:15,920 --> 00:48:19,000
Speaker 1: if anyone actually bothered to read studies of that are

912
00:48:19,120 --> 00:48:23,400
Speaker 1: on the CDC website and we're peer reviewed. Control studied

913
00:48:24,080 --> 00:48:29,160
Speaker 1: mask mask situations. It showed that cloth masks are essentially

914
00:48:29,200 --> 00:48:31,600
Speaker 1: against whether it's measles or the flu cloth masks or

915
00:48:31,600 --> 00:48:34,360
Speaker 1: a joke, they don't really do anything. But there was

916
00:48:34,400 --> 00:48:37,000
Speaker 1: always this belief that we'll end ninety five masks because

917
00:48:37,440 --> 00:48:42,760
Speaker 1: unlike cloth masks, at least the basic aerodynamics and mechanics

918
00:48:42,840 --> 00:48:45,320
Speaker 1: of this might line up right that the opening in

919
00:48:45,520 --> 00:48:47,880
Speaker 1: the mask fibers is small enough that a virus wouldn't

920
00:48:47,920 --> 00:48:50,160
Speaker 1: freely pass through it. But it sounds like what you're

921
00:48:50,160 --> 00:48:52,400
Speaker 1: telling me is that even in Germany, where they did

922
00:48:52,480 --> 00:48:56,200
Speaker 1: the N ninety five mask mandate upgrade, which is currently

923
00:48:56,760 --> 00:49:00,880
Speaker 1: fashionable among fauciites in America, that it didn't do there

924
00:49:01,000 --> 00:49:05,000
Speaker 1: was no discernible difference in case case load in Germany

925
00:49:05,040 --> 00:49:08,840
Speaker 1: after the N ninety five masks. Is that right? That's correct,

926
00:49:09,239 --> 00:49:11,400
Speaker 1: And you can go and look and a couple of

927
00:49:11,440 --> 00:49:14,040
Speaker 1: their provinces or excuse me, states already, you know, had

928
00:49:14,160 --> 00:49:17,240
Speaker 1: N ninety five mandates and some only had surgical grade

929
00:49:17,280 --> 00:49:20,280
Speaker 1: mask mandates, and the ones with the surgical mask mandates

930
00:49:20,320 --> 00:49:22,640
Speaker 1: have done better than those with the N ninety five mandates.

931
00:49:23,360 --> 00:49:25,520
Speaker 1: There's just no difference. And we've seen this play out

932
00:49:25,719 --> 00:49:28,560
Speaker 1: all over the world. But it's even when when you

933
00:49:28,600 --> 00:49:30,960
Speaker 1: compare real world data. And obviously a lot of these

934
00:49:31,000 --> 00:49:33,880
Speaker 1: studies are you know, we're very well done, but some

935
00:49:34,000 --> 00:49:37,440
Speaker 1: are also just mechanistic lab studies where oh, we think

936
00:49:37,480 --> 00:49:39,520
Speaker 1: it might work in the lab, but then when you

937
00:49:39,560 --> 00:49:42,240
Speaker 1: get into the real world, if it's not fitted properly,

938
00:49:42,400 --> 00:49:45,400
Speaker 1: it's still going to have air results leaking out from

939
00:49:45,400 --> 00:49:48,360
Speaker 1: the sides, and so it's not totally surprising, but in

940
00:49:48,440 --> 00:49:50,399
Speaker 1: the real world it hasn't made any difference at all.

941
00:49:50,840 --> 00:49:54,279
Speaker 1: We're talking to Ian Miller. We encourage you to go

942
00:49:54,480 --> 00:49:57,920
Speaker 1: check out his book which is Unmasked, a Global Failure

943
00:49:58,000 --> 00:50:01,520
Speaker 1: of COVID mask mandates. Also you can check him out

944
00:50:01,760 --> 00:50:06,320
Speaker 1: read his sub stack Unmasked, which is also fantastic at E. N.

945
00:50:06,600 --> 00:50:11,040
Speaker 1: M sc on Twitter. So we know that we have failed.

946
00:50:11,200 --> 00:50:14,040
Speaker 1: We know that many Western democracies have failed in our

947
00:50:14,160 --> 00:50:18,520
Speaker 1: response to COVID. Who has done the best job? Which country?

948
00:50:18,600 --> 00:50:20,320
Speaker 1: Based on you look a lot of this data and

949
00:50:20,480 --> 00:50:23,960
Speaker 1: analyze so many different countries based on what you've seen,

950
00:50:24,120 --> 00:50:29,239
Speaker 1: who's done the best job maintaining normalcy while still responding

951
00:50:29,320 --> 00:50:32,040
Speaker 1: in some way to COVID. What was the optimal response

952
00:50:32,200 --> 00:50:37,040
Speaker 1: country that you could point to. The obvious answer would

953
00:50:37,040 --> 00:50:38,960
Speaker 1: be Sweden. I think that they've done the best job.

954
00:50:39,000 --> 00:50:41,719
Speaker 1: They haven't been perfect, and their leaders would tell you,

955
00:50:41,719 --> 00:50:44,400
Speaker 1: you know, we made some mistakes early on with nursing homes,

956
00:50:44,640 --> 00:50:47,520
Speaker 1: but you know, they never mandated mass, they never enforced

957
00:50:47,560 --> 00:50:50,000
Speaker 1: mask usage, they didn't have strict lockdowns. It was much

958
00:50:50,040 --> 00:50:54,040
Speaker 1: more voluntary. Some capacity women's things like that they tried

959
00:50:54,080 --> 00:50:57,720
Speaker 1: as much to keep normal life going without making COVID

960
00:50:57,760 --> 00:51:00,279
Speaker 1: the sole focus of all of their policy, and I

961
00:51:00,320 --> 00:51:02,320
Speaker 1: think they succeeded. And the results show that, you know,

962
00:51:02,400 --> 00:51:05,000
Speaker 1: and I post this, you write about it in the book,

963
00:51:05,040 --> 00:51:07,640
Speaker 1: but they're in the right now. I think they're around

964
00:51:07,719 --> 00:51:11,799
Speaker 1: sixtieth in the world in immortality rate, which is unexceptional,

965
00:51:11,880 --> 00:51:14,760
Speaker 1: I mean much the countries that did lockdowns, like Peru

966
00:51:14,920 --> 00:51:17,279
Speaker 1: and mass Mandates. Peru is the highest death rate in

967
00:51:17,320 --> 00:51:20,560
Speaker 1: the world, and so they've disrupted their their social life,

968
00:51:20,600 --> 00:51:23,720
Speaker 1: that disrupted their economic life. Did all the mass Mandates

969
00:51:23,760 --> 00:51:26,840
Speaker 1: in the lockdowns and had significantly worse results, whereas Sweden

970
00:51:27,320 --> 00:51:30,640
Speaker 1: tried to avoid all that. They've really followed all the

971
00:51:30,680 --> 00:51:34,080
Speaker 1: guidance pre COVID what they said to do, and it

972
00:51:34,200 --> 00:51:36,279
Speaker 1: worked out just fine for them. They did, they did

973
00:51:36,440 --> 00:51:39,440
Speaker 1: just fine. I want to know something, and do you

974
00:51:39,680 --> 00:51:42,200
Speaker 1: get a lot of you know, one of the things

975
00:51:42,239 --> 00:51:45,200
Speaker 1: that's been interesting for both Clay and me, this entire

976
00:51:45,280 --> 00:51:48,200
Speaker 1: pandemic or the doctors who will reach out behind the

977
00:51:48,280 --> 00:51:52,400
Speaker 1: scenes and say, um, you know, I can't say this

978
00:51:52,440 --> 00:51:55,200
Speaker 1: publicly because they'll go after my license or my hospital

979
00:51:55,239 --> 00:51:57,279
Speaker 1: will take away my privileges and all this stuff. But

980
00:51:58,080 --> 00:52:00,080
Speaker 1: you know what you guys said about x or I

981
00:52:00,680 --> 00:52:03,799
Speaker 1: usually in criticism of Fauci is true, and a lot

982
00:52:03,880 --> 00:52:06,319
Speaker 1: of our colleagues in the medical community know it's true.

983
00:52:06,800 --> 00:52:08,759
Speaker 1: I'm wondering what that's been like for you as a guy.

984
00:52:08,800 --> 00:52:11,400
Speaker 1: It's just very busy. You have this very direct approach

985
00:52:11,480 --> 00:52:14,480
Speaker 1: of the data. You know, you're just using the actual

986
00:52:14,680 --> 00:52:18,200
Speaker 1: CDC numbers and data and visual and letting people visualize

987
00:52:18,200 --> 00:52:20,359
Speaker 1: about putting out these graphs. Do you have a lot

988
00:52:20,440 --> 00:52:22,279
Speaker 1: of medical people reaching out to you, and also do

989
00:52:22,320 --> 00:52:23,719
Speaker 1: you have people who reach out to you and say

990
00:52:24,040 --> 00:52:26,440
Speaker 1: who are mds? Who say, wow, you know now that

991
00:52:26,560 --> 00:52:31,120
Speaker 1: I see this mass really don't do a damn thing. Yeah,

992
00:52:31,280 --> 00:52:34,040
Speaker 1: that has happened. It is surprising, And I think one

993
00:52:34,080 --> 00:52:36,720
Speaker 1: thing people forget is that a lot of times doctors,

994
00:52:36,800 --> 00:52:39,000
Speaker 1: you know, they're they're busy, they're some patience, they're working,

995
00:52:39,360 --> 00:52:41,080
Speaker 1: they're not really looking at a lot of the data.

996
00:52:41,160 --> 00:52:43,359
Speaker 1: And a lot of times the doctors that we see

997
00:52:43,400 --> 00:52:46,040
Speaker 1: on Twitter that are just kind of parroting the Faucie narrative,

998
00:52:46,920 --> 00:52:50,680
Speaker 1: you know, they're just repeating what influential people are saying.

999
00:52:50,760 --> 00:52:52,960
Speaker 1: They don't really go and look at the actual research

1000
00:52:53,120 --> 00:52:57,400
Speaker 1: themselves very often, so it has been gratifying to hear

1001
00:52:57,440 --> 00:52:58,920
Speaker 1: people that said, you know, I didn't really look at this.

1002
00:52:59,000 --> 00:53:01,919
Speaker 1: I just kind of listen to what everybody else was saying.

1003
00:53:02,280 --> 00:53:05,120
Speaker 1: But now seeing it, I understand it's not working, and

1004
00:53:05,200 --> 00:53:08,200
Speaker 1: I'm trying to incorporate that into my own practice or

1005
00:53:08,640 --> 00:53:11,040
Speaker 1: you know, and I've got people reach out about contributing

1006
00:53:11,080 --> 00:53:13,000
Speaker 1: to lawsuits and things like that. So it's been really

1007
00:53:13,040 --> 00:53:15,400
Speaker 1: gratifying to hear from people and validating to hear that

1008
00:53:15,760 --> 00:53:17,680
Speaker 1: a lot of experts do agree with this, and they

1009
00:53:17,760 --> 00:53:21,160
Speaker 1: just can't feel they can't speak out publicly for fear

1010
00:53:21,160 --> 00:53:24,600
Speaker 1: of retribution, which is just insane. Well, the book is

1011
00:53:24,800 --> 00:53:29,200
Speaker 1: Unmasked the Global Failure of COVID mask Mandates. I'm going

1012
00:53:29,239 --> 00:53:30,799
Speaker 1: to get a copy and just keep it on my wall,

1013
00:53:30,920 --> 00:53:32,399
Speaker 1: you know, keep it right there. Just I could stare

1014
00:53:32,440 --> 00:53:34,640
Speaker 1: it all the time because I hate these mask mandates.

1015
00:53:34,920 --> 00:53:38,360
Speaker 1: Ian Miller, everybody check them out. Ian MSc on Twitter

1016
00:53:38,440 --> 00:53:42,759
Speaker 1: in thank you so much, Thank you. Look, this has

1017
00:53:42,760 --> 00:53:45,759
Speaker 1: been another whirlwind week on Wall Street, reminding us one

1018
00:53:45,800 --> 00:53:48,520
Speaker 1: more time that protecting the value of your savings account

1019
00:53:48,760 --> 00:53:52,360
Speaker 1: is against economic factors far out of your control. You

1020
00:53:52,440 --> 00:53:54,600
Speaker 1: can protect the value of your hard earned savings and

1021
00:53:54,719 --> 00:53:57,759
Speaker 1: your IRA as well. You do that by purchasing gold.

1022
00:53:57,800 --> 00:54:00,359
Speaker 1: I'm talking about real gold as part of your savings plan.

1023
00:54:00,800 --> 00:54:03,520
Speaker 1: That protection, the purchase of gold, which has proven over

1024
00:54:03,600 --> 00:54:06,240
Speaker 1: time to only grow in value, particularly when our dollar

1025
00:54:06,400 --> 00:54:09,560
Speaker 1: is losing value, and that certainly happened over the last

1026
00:54:09,600 --> 00:54:12,239
Speaker 1: twelve months. Our partners at the Oxford Gold Group or

1027
00:54:12,239 --> 00:54:14,600
Speaker 1: whoever lined on for the purchase of gold and precious metals,

1028
00:54:14,800 --> 00:54:18,200
Speaker 1: They've made it easy to take actual physical possession of

1029
00:54:18,360 --> 00:54:21,319
Speaker 1: gold that I've purchased. I'm talking about holding real gold

1030
00:54:21,400 --> 00:54:23,480
Speaker 1: in your hands. It's a memorable moment, by the way,

1031
00:54:23,480 --> 00:54:25,800
Speaker 1: the first time you do it. Buying real gold is

1032
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Speaker 1: not complicated. Call the Oxford Gold Group. They'll explain everything

1033
00:54:29,280 --> 00:54:31,680
Speaker 1: to you. Having real gold delivered to your home or

1034
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Speaker 1: having real gold as part of your IRA is just

1035
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Speaker 1: a phone call away with Oxford Gold. Call them at

1036
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Speaker 1: eight three three four zero four Gold and learn how

1037
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Speaker 1: you can have real gold in your IRA and delivered

1038
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Speaker 1: to your door. That's the Oxford Gold Group at eight

1039
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Speaker 1: three three four zero four Gold eight three three four

1040
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