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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. Clay and Buck Show gets started right

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Speaker 1: now on this Wednesday all across the land. Thanks for

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Speaker 1: hanging out with us. Everybody got some things to get

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Speaker 1: into today. Mister Clay, we have the biggest grounding of

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Speaker 1: flights in this country since nine to eleven just occurred

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Speaker 1: this morning. Air travel. We got to talk a bit

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Speaker 1: about this. It feels like we are just going backwards

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Speaker 1: in time with air travel in a whole range of ways.

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Speaker 1: But when the FAA computer for the no tam Notice

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Speaker 1: to air mission system, so I think that's what keeps

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Speaker 1: the FAA knowing where all the different planes are in

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Speaker 1: the sky at any point in time. When that computer

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Speaker 1: system goes down and all the flights have to be grounded,

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Speaker 1: starts to raise some questions about how competent is this

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Speaker 1: Biden regime that Transportation Secretary Mayor Pete Buddha Judge doing.

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Speaker 1: We will dive into that in a second. You've also

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Speaker 1: got the Republicans already on the move here. The Subcommittee

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Speaker 1: on Government Weaponization really meaning the weaponization of the Federal bureaucracy,

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Speaker 1: the FBI being used as a tool of politics in

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Speaker 1: a whole variety of ways. We'll discuss that. Jerome Powell

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Speaker 1: gave a speech where he warned the Federal Reserve not

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Speaker 1: to tackle climate change and social issues, which just the

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Speaker 1: fact that people at the Federal Reserve are thinking about

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Speaker 1: that should put everybody on edge. That's deeply concerning. And

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Speaker 1: we have David's why do you remember he's a journalist

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Speaker 1: of the Democrat Persuasion who has done honest research into

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Speaker 1: masking and spoiler alert. Clay and I had him on

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Speaker 1: for this. You are know he came forward for the

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Speaker 1: New York magazine I believe it was he published in

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Speaker 1: right and he said, yes, masking just look, it just

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Speaker 1: doesn't work, folks. I mean you can, you can try

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Speaker 1: it a million different ways and times it doesn't work.

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Speaker 1: He has some information this will be in the second

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Speaker 1: out of the program on analysis on how all that

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Speaker 1: don't hug grandma if you're a little kid, because you

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Speaker 1: may kill grandma with COVID lies not true based on

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Speaker 1: the data. Fascinating stuff we'll get to. And then we

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Speaker 1: also have us some updates from the True Crime Realm

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Speaker 1: to share it with all of you. But that that's

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Speaker 1: going to be coming up throughout the show, so we

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Speaker 1: are racked and stacked. Clay, can we just start with this?

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Speaker 1: This is classic Biden this morning, saying that you know,

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Speaker 1: he spoke to Mayor Pete, who I guess we have

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Speaker 1: to say is now Secretary of Transportation Pete. And the

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Speaker 1: short version is they don't know what the heck happened

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Speaker 1: here play one. I guess folk with Rudd, they don't

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Speaker 1: know what the fog is. There was on the phone

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Speaker 1: and h ssor I told you of Court rectvie when

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Speaker 1: I find out, we don't know what the cause of

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Speaker 1: it is. Price of gas, high supply, chain snarls and shortages,

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Speaker 1: the worst I've seen in my memory in this country,

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Speaker 1: the worst grounding of flights since nine to eleven. Clay,

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Speaker 1: Mayor Pete's got quite the resume going so far for

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Speaker 1: this Biden regime. And remember, Clay, he's supposed to be

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Speaker 1: the smart one. Yeah, he's a disaster so far. And

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Speaker 1: we were out during Christmas break when Southwest Airlines basically

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Speaker 1: shut down. And I know there are many of you

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Speaker 1: listening to us right now that got caught up in

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Speaker 1: that disaster, and Mayor Pete was caught flatfooted on that one,

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Speaker 1: I think it's fair to say. I mean I started

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Speaker 1: tweeting about it long before the mayor did, because here

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Speaker 1: in Nashville, where Southwest airlines fly so much, I could

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Speaker 1: see that happening. My own sister got stuck for three

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Speaker 1: days in Chicago because she couldn't fly on the West

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Speaker 1: the storm hit everything else. I had lots of friends

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Speaker 1: and family who were impacted by that all over the country.

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Speaker 1: So there's still a lot of anger out there in

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Speaker 1: the airline flying community. And then to combine it this morning,

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Speaker 1: when all of a sudden the FAA shuts down everything.

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Speaker 1: It's it's a bad look for travel and Buck, this

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Speaker 1: is something that has been going on for it feels

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Speaker 1: like multiple years now of the Biden administration. I know

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Speaker 1: there are many people out there listening to us who

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Speaker 1: you are nervous in a way that you were never

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Speaker 1: nervous before about even going to the airport because your

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Speaker 1: flights are delayed. Because I talked about this story Buck

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Speaker 1: this summer, I was down in Fort Lauderdale eight hours

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Speaker 1: at an airport and then they just said, hey, the

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Speaker 1: flight is canceled, and they were booking people like three

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Speaker 1: and four days later to be able to get on

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Speaker 1: a flight to get back home. And I feel like

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Speaker 1: almost everyone who travels somewhat regularly has got a story

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Speaker 1: in the last six months where the airline industry just

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Speaker 1: appears to be at an absolutely incompetent level. And as

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Speaker 1: you mentioned, it's one thing when nine to eleven is involved,

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Speaker 1: when there is some sort of cataclysmic event, that you

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Speaker 1: understand why the airplane. No one shouting about the incompetence

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Speaker 1: of the Transportation secretary after nine eleven for obvious reasons.

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Speaker 1: But now we don't even know what's causing many of

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Speaker 1: these things, and it's the conjunction of failure. When Mayor

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Speaker 1: Pete in let me read you some of the headlines recently,

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Speaker 1: I just retweeted this, but the way that Mayor Pete

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Speaker 1: is making news is by focusing on diversity and inclusion

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Speaker 1: in the airplanes. And I gotta be honest with you, Buck,

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Speaker 1: my airline pilot is one of the things, along with

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Speaker 1: maybe your open heart surgeon or your neurosurgeon, where no

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Speaker 1: one thinks at all about diversity and inclusion when it

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Speaker 1: comes to that. Right when I walk on an airplane,

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Speaker 1: all I want to know is, Hey, how long have

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Speaker 1: you been flying airplanes and how great are you? And

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Speaker 1: so when I see the FAA recently saying the language

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Speaker 1: we use in aerospace matters, We've begun to adopt gender

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Speaker 1: neutral and inclusive aviation terminology as part of our agency

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Speaker 1: wide initiative. You can watch our Inclusive Language summit at

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Speaker 1: hashtag equity. Join our discussion on how the words we

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Speaker 1: use can create a more inclusive aerospace community. This is

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Speaker 1: the FAA tweeting this. The FAA's Jenny Boyle reflects on

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Speaker 1: LGBTQI plus visibility within the agency and encourages others to

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Speaker 1: keep the conversation going to build a more inclusive workforce.

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Speaker 1: As one more buck, aerospaces for everyone. This is the

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Speaker 1: FAA's official account aerospace is for everyone and the language

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Speaker 1: we use matters. We launched an agency wide initiative to

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Speaker 1: adopt gender neutral and inclusive aviation terminology. Watch the Inclusive

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Speaker 1: Language Summit at Best of twenty twenty one. I want

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Speaker 1: my airplanes taken off. I don't care about any of this,

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Speaker 1: and I think this is indicative of a misplaced focus. Well,

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Speaker 1: you know, it's fascinating because what you're going to have

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Speaker 1: here is something similar to you know about with orchestras.

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Speaker 1: It's fascinating case study in meritocracy because diversity and inclusion

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Speaker 1: madness as practiced by democrats these days, it keeps getting

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Speaker 1: worse and crazier. But it is an effectively a war

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Speaker 1: on meritocracy, or it is an effort to destroy the

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Speaker 1: notion of just individual merits separate from political considerations, identity, politics,

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Speaker 1: and all the rest. So for orchestras. Were you a

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Speaker 1: classical musician growing up? I actually was classic nutrained. I'm

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Speaker 1: tone deaf, literally, I can't sing. I was in chorus

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Speaker 1: and they told me just to announce the songs. I mean,

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Speaker 1: I am maybe the worst musical person on the planet.

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Speaker 1: So no, I'm not an expert in this. I was.

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Speaker 1: I was asked to actually be in a university orchestra.

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Speaker 1: And one of the big secrets of my media career

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Speaker 1: to this day is nobody knows what the instrument is. Yeah,

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Speaker 1: what is instrument? Was it the tuba? Was it the harpsichord?

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Speaker 1: I don't know. Maybe one day I'll tell people, but

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Speaker 1: I want to know. I can't you just tell us

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Speaker 1: right now? What was the instrument? Like? To keep people

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Speaker 1: you know, I think that means it's a nerd instrument.

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Speaker 1: When Tom Hanks wouldn't tell anybody where he was from,

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Speaker 1: its saving private. Ryan. This is like my Tom Hanks

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Speaker 1: moment with that, I don't tell anybody. Nobody knows what

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Speaker 1: the mostrument embarrassing instrument. If you are refusing to acknowledge

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Speaker 1: the instrument, it is not the instrument that tends to

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Speaker 1: get all the ladies. However, I was proficient in it. Nonetheless,

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Speaker 1: now people are gonna the deep diving. It's gonna happen.

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Speaker 1: There's probably your fail. So Carrie knows, but she has

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Speaker 1: sworn to secrecy. I've older. I said, this is this

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Speaker 1: is the one part of my past that people don't

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Speaker 1: get to know about necessarily. One day it might be

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Speaker 1: unveiled one day. Anyway, Look, if I played a little piccolo,

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Speaker 1: I was good at it. Don't worry about it. So

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Speaker 1: to say it, it's not a cool one. If you're

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Speaker 1: refusing to a game. It definitely was an electric guitar

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Speaker 1: or piano or actually I was telling carry, I think

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Speaker 1: the saxophone is really cool and people should make that

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Speaker 1: saxophone should make a comeback. I think people got always

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Speaker 1: Bill Clintons. That was Bill Clinton remember when we went

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Speaker 1: on our CITYO Hall and played the Sacks probably the

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Speaker 1: coolest thing about Bill Clinton. I gotta be honest with you,

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Speaker 1: you know, I can't hate on the Sacks. I think

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Speaker 1: Saxophones should make a comeback anyway. Point being that they

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Speaker 1: had blind all internet, wasn't it? I can either confirm

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Speaker 1: nor deny man, I'm not was it? The flute can

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Speaker 1: neither confirm nor deny clay I you could waterboard me.

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Speaker 1: It's not coming out. So they had blind auditions, and

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Speaker 1: what happened is he said, okay, well now people have

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Speaker 1: it's just about the skill. How good are you? And

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Speaker 1: it's about the music, and that's all that matters. And

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Speaker 1: you know what they said, blind auditions were racist that

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Speaker 1: would eventually happened because they weren't getting Yeah, of course

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Speaker 1: they weren't getting the output that they wanted, so it

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Speaker 1: didn't matter what pilots in essence, are a blind audition,

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Speaker 1: meaning I should shouldn't they blind audition? But the people

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Speaker 1: it's a little different, and that the people that get

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Speaker 1: on the plane you usually don't even see the pilots.

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Speaker 1: You don't care. You just want the best possible pilots.

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Speaker 1: You want the highest output from those pilots, especially in

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Speaker 1: terms of safety. When you land, nobody is clapping because,

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Speaker 1: oh my gosh, our transpilot did such a great job.

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Speaker 1: They're happy because they landed and they're safe. We don't

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Speaker 1: care what the color of the person is, the gender

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Speaker 1: the person is, anything else that is unacceptable to the

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Speaker 1: new Left, that is unacceptable to Democrat Party of today.

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Speaker 1: You are being made to care about these things. The FAA,

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Speaker 1: air traffic Control, every aspect of the federal bureaucracy is

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Speaker 1: just run through now with all of these ideas about

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Speaker 1: diversity and inclusion, and they want, you know, I think

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Speaker 1: the mindset of conservatives is, I don't want, you know,

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Speaker 1: like whatever. We can't just whatever, because they will keep

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Speaker 1: pushing because this is messianic for them. This is a

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Speaker 1: religious experience for them to continue to push diversity to inclusion.

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Speaker 1: And may or Pete will not be held to account

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Speaker 1: by the media on anything. You have to remember that

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Speaker 1: as well. And if you're wondering the connection, it's because

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Speaker 1: every agency can only focus on so much and the

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Speaker 1: things that you and I and I think ninety eight

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Speaker 1: percent probably of the American flying public care about has

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Speaker 1: nothing to do with the cosmetic diversity of the cockpit

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Speaker 1: or the language that we use such that cockpit is

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Speaker 1: evidently problematic. Now right, there's discussion, Oh the cockpit. It

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Speaker 1: suggests that there's men and men and men fly in

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Speaker 1: the airplane. UH and UH and and I got I

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Speaker 1: got a DM recently from a pilot and I flagged

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Speaker 1: this because I thought it was so interesting. UM where

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Speaker 1: he was talking about the UH the current situation UM

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Speaker 1: in the UH in the cockpit, which is they are

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Speaker 1: changing the names of so many different aspects of this

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Speaker 1: is what I got today, Delta Airlines Pilot Daily listener.

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Speaker 1: I don't know if you know, but the no TAM

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Speaker 1: system that went down was until recently stood for notice

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Speaker 1: to Airmen. It was changed by the Gender Brigade to

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Speaker 1: notice to air mission a few months ago because the

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Speaker 1: word airmen was too male, insulting an exclusionary towards women.

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Speaker 1: It's true. Nice to know the FAA is prioritizing the

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Speaker 1: important things. Again, Get all the planes in the air

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Speaker 1: flying safely, no matter who is flying them. Let's have

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Speaker 1: a meritocracy out there. Instead, we're focused on cosmetic diversity,

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Speaker 1: which is why Mayor Pete has his job in the

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Speaker 1: first place, and everything around him is failing. You know,

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Speaker 1: there can be no sacred cows when people's lives are

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Speaker 1: at stake, And when you're talking about flying, you're talking

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Speaker 1: about live Everyone who gets even a little bit nervous

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Speaker 1: when that little bit of turbulence comes along, you know

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Speaker 1: exactly what we're talking about. And in example this there

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Speaker 1: was a catastrophic crash many years ago. I can't remember

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Speaker 1: it off the top of my head, but when they

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Speaker 1: looked into it, it was with a South Korean airline

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Speaker 1: and the problem that they identified was that, as a

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Speaker 1: cultural matter in South Korea, telling your superior that he

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Speaker 1: is wrong is completely unacceptable. And so while there were

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Speaker 1: mistakes being made in the cockpit, the subordinate pilot and

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Speaker 1: another pilot as well, who were also subordinate to the

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Speaker 1: main guy, were afraid to tell him basically, if you

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Speaker 1: don't change this and pull up, we're going to run

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Speaker 1: into the side of a mountain. And they ran into

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Speaker 1: the side of a mountain. More or less, you have

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Speaker 1: to address these things based in reality, wokeness, diversity and inclusion,

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Speaker 1: political correctness. No one cares about that when they're thirty

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Speaker 1: five thousand feet in the air going five hundred miles

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Speaker 1: an hour, so worth noting that. You know, yeah, we

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Speaker 1: don't know what caused this system out as yet, but

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Speaker 1: we do know that the wokeness is spreading all across

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Speaker 1: the federal bureaucracy, including when it comes to air travel,

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Speaker 1: and it's replacing competence as the number one standard of

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Speaker 1: the most important standard, which should be safety. If one

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Speaker 1: Talk is simply smarter wireless Sneak out with the guys

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Speaker 1: on the Sunday Hang with Clay and Buck podcasts a

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Speaker 1: new episode of every Sunday. Find it on the iHeart

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Speaker 1: Apple or wherever you get your podcasts. Welcome back in

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Speaker 1: our number two Clay Travis Buck Sexton Show Wednesday edition.

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Speaker 1: Go subscribe to the podcast. You can search out my

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Speaker 1: name Clay Travis, you can search out Buck Sexton. You

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Speaker 1: will be well on your way to getting hooked up

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Speaker 1: and being able to make sure that you never miss

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Speaker 1: a single moment of the show for all of twenty

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Speaker 1: twenty three, no matter where you are. Okay, Buck, it

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Speaker 1: s as we went to break, there's some really good news.

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Speaker 1: And this is where we can quote Barack Obama and

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Speaker 1: he's one hundred percent right. Elections have consequences, and one

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Speaker 1: of the consequences of Republicans winning the House is that

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Speaker 1: the Department of Defense has ended their COVID vaccine mandate.

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Speaker 1: This is a big deal. Okay, we need to celebrate

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Speaker 1: our wins when we get them. No longer requiring anyone

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Speaker 1: to get the COVID shot in order to serve for

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Speaker 1: our country is the right decision, and it would not

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Speaker 1: have happened if we had not won the House. That

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Speaker 1: is a direct, intangible result for people out there who say, Okay,

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Speaker 1: where are the wins. This is a win because Republicans

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Speaker 1: took back the House. If Democrats had held onto the House, buck,

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Speaker 1: this never happens. I think Kevin McCarthy and all of

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Speaker 1: his allies, particularly Jim Jordan, who I think is going

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Speaker 1: to do a incredible job as the chair of the

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Speaker 1: Judiciary Committee and also looking into the FBI and conducting

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Speaker 1: all these investigations. This is a win that happened as

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Speaker 1: a result of the twenty twenty two mid terms. Now

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Speaker 1: the next step needs to be rehiring and there are

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Speaker 1: thousands of them, anyone who lost his or her job

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Speaker 1: in the military because they refuse to get the COVID shot.

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Speaker 1: That's the next step. And then, oh, by the way,

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Speaker 1: I think we need to and I've been making this

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Speaker 1: argument for a while. End Fiser and Madernas COVID vaccine

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Speaker 1: immunity and allow either plaintiffs lawyers to sue or force

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Speaker 1: them to return all the profits because the downside here,

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Speaker 1: here's the negative. This COVID SHOT's not working. And I'm

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Speaker 1: reading we had do we have Alex Parenson on yesterday

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Speaker 1: or on Monday, Buck, I can't remember exactly what day

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Speaker 1: we had him on. Encourage you to go listen to him.

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Speaker 1: Yesterday we had him on in the third hour of

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Speaker 1: the program. And he's got a sub stack up right

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Speaker 1: now that he just wrote, and the headline is urgent.

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Speaker 1: Seventeen percent of teenagers had heart symptoms after their second

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Speaker 1: visor JAB. A new peer reviewed paper shows this is

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Speaker 1: the headline that Alex Berenson just wrote. This is out

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Speaker 1: of Taiwan, and the researchers conducted electro cardiograms, which measured

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Speaker 1: heart rhythms on nearly five thousand high schoolers in Taipei City,

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Speaker 1: capital of Taiwan, before and after their second visor shot.

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Speaker 1: Most of the students, an over ninety percent, were mail

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Speaker 1: and again, seventeen percent of those students had heart symptoms,

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Speaker 1: including serious heart related issues. Again, this is in five

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Speaker 1: thousand students, and this has been published in the European

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Speaker 1: Journal of Pediatrics. And I want to tie this in

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Speaker 1: with and I'm not directly saying that this was the cause, okay,

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Speaker 1: because I'm not a doctor, and I'm not sure why

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Speaker 1: this exactly happened. But as we said in the first hour,

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Speaker 1: it's an awful story. An Air Force cadet, an offensive

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Speaker 1: linemen on their football team, collapsed and died walking to

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Speaker 1: class on Monday. Certainly Jamar Hamlin a lot of attention

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Speaker 1: with what happened to him on the football field. In

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Speaker 1: your lives, in your communities, you may well be hearing

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Speaker 1: and or seeing of young people having issues. Okay, This

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Speaker 1: Air Force cadet, Hunter Brown dies at twenty one years old.

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Speaker 1: The Air Force Academy, Naval Academy, and the US Military

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Speaker 1: Academy West Point, they all required the COVID shot in

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Speaker 1: order for kids to go to those schools. Because the

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Speaker 1: military required the COVID shot, many universities out there are

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Speaker 1: requiring the COVID shots still, as this data continues to

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Speaker 1: come out, Buck, it is not anti science to be

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Speaker 1: asking why in the world are we still mandating the

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Speaker 1: COVID shot anywhere for young adults, teenagers, anyone who has

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Speaker 1: virtually zero percent chance of getting COVID given to circumstances.

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Speaker 1: And this is a real conversation that needs to be

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Speaker 1: had and there may be Again, I don't want to

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Speaker 1: be reacting constantly to anecdotes, which is why I retweeted

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Speaker 1: and shared the story out of Taiwan about all of

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Speaker 1: the incidents of heart related issues for young men in particular,

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Speaker 1: this has to be talked about. So in totalitarian societies,

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Speaker 1: so the Union North Korea good on the list. There

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Speaker 1: is always a hyper sensitivity about even the most minute

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Speaker 1: criticism or the most minute change inofficial policy coming from

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Speaker 1: a response of the people, right, I mean the people

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Speaker 1: at the top. They can say, you know, it's it's

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Speaker 1: you know today, it's this tomorrow, it's that They can

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Speaker 1: do whatever they want. Of course, totalitarianism, they can say

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Speaker 1: the sky is falling and then they can say, actually

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Speaker 1: that was just a joke. It doesn't matter. Although they

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Speaker 1: don't make jokes intotalitarian societies, but they make it up

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Speaker 1: as they go along, and they never allow for correction.

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Speaker 1: They never allow for the people to see a crack

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Speaker 1: in the wall. Right. This is with COVID. I think

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Speaker 1: very similar, a very similar situation going on right now,

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Speaker 1: the moment that they say increasingly, yeah, the side effects

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Speaker 1: are worse than we said they were, and yeah, you

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Speaker 1: didn't actually need to get this if you were really

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Speaker 1: in any age group, but certainly if you weren't a

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Speaker 1: senior and you know, barring some exceptional circumstances, if you

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Speaker 1: don't have a functioning immune system or something, but if

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Speaker 1: you weren't a scene or there was no reason. It's

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Speaker 1: not even like, Remember, it's not just they offered this shop.

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Speaker 1: They mandated this shop in so many different contexts. They

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Speaker 1: made you get it. They shut down your life in

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Speaker 1: New York City, every diversity buck requires it. Still basically, yeah,

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Speaker 1: I just saw a friend of mine say that her

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Speaker 1: child can't go to summer camp this summer. They're requiring

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Speaker 1: it for summer camp. Yeah, this is completely insane. But

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Speaker 1: I do think that a lot of this is the

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Speaker 1: people who push this the most, just like you know,

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Speaker 1: the commissars in the Soviet Union. If they admit that

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Speaker 1: they were wrong on this, then people will start to say,

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Speaker 1: what else were you guys wrong on? Right? If they

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Speaker 1: admit fallibility on this issue of the vaccine, on any

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Speaker 1: issue of the vaccine, in an honest and forthright way.

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Speaker 1: They know the pendulum starts to swing far back in

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Speaker 1: the other direction. So their whole game now, I think

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Speaker 1: we're seeing this. Whether it's people ask the question are

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Speaker 1: athletes now? Are athletes having a higher percentage? Maybe it's

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Speaker 1: only you know, alex is talking about excess mortality. Well, okay,

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Speaker 1: ten percent excess mortality doesn't sound like necessarily it's that,

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Speaker 1: you know, earth chattering. Well, if you're talking about millions

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Speaker 1: of people, ten percent actually really matters, right, millions of deaths.

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Speaker 1: Ten percent is a big number of people. Are there

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Speaker 1: five percent? Are there ten percent more cardiac issues happening

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Speaker 1: in otherwise healthy you know, high physical capacity individuals athletes

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Speaker 1: in this context, Are we ever going to get an

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Speaker 1: answer that question? At a minimum? They want to delay it.

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Speaker 1: They want to keep delaying this as long as possible,

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Speaker 1: because I think that there is a little bit of

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Speaker 1: a quiet terror within the system of admitting the truth

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Speaker 1: when people still have a relatively fresh memory of the

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Speaker 1: madness that we were subjected to, of the viciousness. I mean,

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Speaker 1: you remember this, and so do I. There was a Oh,

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Speaker 1: this person died who didn't get vaccinated, Well, maybe they

401
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Speaker 1: shouldn't have been reckless and put so many other people

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Speaker 1: at risk. This was this was evil. I mean Joe Biden, Yes,

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Speaker 1: they call the pandemic that the unvaccinated was an evil

404
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Speaker 1: thing to say, it was wrong, And I just think

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Speaker 1: they're trying to delay the reckoning because it's coming, because

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Speaker 1: the numbers don't add up for them. Buck, They were

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Speaker 1: saying that if you didn't get the COVID shot, you

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Speaker 1: didn't deserve to get treatment at the hospital. That was

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Speaker 1: the argument they were making. And I think if you

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Speaker 1: start to look at this data, these same people who

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Speaker 1: were gleefully celebrating when unvaccinated people would die. Remember how

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Speaker 1: the stories would go viral. Oh, this thirty five year

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Speaker 1: old suddenly got COVID, probably had a lot of underlying conditions,

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Speaker 1: but it would go viral the story. Remember they also said, Buck,

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Speaker 1: early on, if we can say just one life, it's

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Speaker 1: worth it. Remember how many people would say that, like

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Speaker 1: we're locking down the entire country, Well, if we can

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Speaker 1: save just one life, it's worth And then people like

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Speaker 1: you were I would point back and say, hey, you know,

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Speaker 1: if we had a speed limit of five miles an

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Speaker 1: hour on the interstate, no one would ever die in

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Speaker 1: a car accident, right, I mean, the the the if

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Speaker 1: it saves just one life, it's worth it. Mentality is monstrous. Actually,

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Speaker 1: when you apply this as a public policy matter, think

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Speaker 1: about how many people are you know, how many people

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Speaker 1: are attacked, shot, raped, robbed, whatever? At night? Do people

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Speaker 1: really need to unless you have, you know, an essential job,

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Speaker 1: you know, keeping the electricity grid on or whatever, do

429
00:25:36,800 --> 00:25:39,400
Speaker 1: people need to leave their homes at night? How many

430
00:25:39,480 --> 00:25:43,359
Speaker 1: lives could be saved if we just had effectively a

431
00:25:43,720 --> 00:25:47,320
Speaker 1: declaration of martial law after seven pm and you you

432
00:25:47,320 --> 00:25:50,160
Speaker 1: are at stay at home orders, you'd save a lot

433
00:25:50,200 --> 00:25:53,560
Speaker 1: of lives. This would have to be enforced rigorously by

434
00:25:53,680 --> 00:25:57,280
Speaker 1: you know, armed government agents in the streets. But Clai,

435
00:25:57,400 --> 00:25:59,720
Speaker 1: think of all the lives saved. I mean, this was

436
00:25:59,760 --> 00:26:03,480
Speaker 1: the argument they were making, in effect, and people went

437
00:26:03,480 --> 00:26:05,720
Speaker 1: along with this. People who think they're smart went along

438
00:26:05,720 --> 00:26:08,879
Speaker 1: with this. And what's crazy about that, buck is those

439
00:26:08,920 --> 00:26:12,399
Speaker 1: same people who were arguing if we could save just

440
00:26:12,480 --> 00:26:17,480
Speaker 1: one life are now saying you can't ask any questions

441
00:26:17,520 --> 00:26:21,080
Speaker 1: about the efficacy of the COVID shot at all. Well,

442
00:26:21,119 --> 00:26:24,920
Speaker 1: wait a minute, if we are finding out which the

443
00:26:25,040 --> 00:26:30,400
Speaker 1: data is reflecting, that young healthy men in particular do

444
00:26:30,640 --> 00:26:35,400
Speaker 1: not need to come anywhere near the COVID shot, wouldn't

445
00:26:35,440 --> 00:26:40,240
Speaker 1: you want to limit their exposure to risk? But they

446
00:26:40,320 --> 00:26:44,760
Speaker 1: won't even allow that conversation to happen, Buck, because you're right.

447
00:26:45,160 --> 00:26:49,000
Speaker 1: If they admit one flaw, then all of a sudden,

448
00:26:49,359 --> 00:26:53,520
Speaker 1: that entire it's like pulling a thread right and unrattling

449
00:26:53,600 --> 00:26:55,960
Speaker 1: the entire a lie that they've been told. This is

450
00:26:55,960 --> 00:26:59,800
Speaker 1: why I'm totally unsurprised about all the double speak and

451
00:27:00,040 --> 00:27:05,840
Speaker 1: the prevarication and the dissembling and the lies from Faucci

452
00:27:06,400 --> 00:27:10,120
Speaker 1: because the moment, how is it possible that, after two

453
00:27:10,200 --> 00:27:14,840
Speaker 1: years plus of being the single most you know, authoritative

454
00:27:14,920 --> 00:27:19,159
Speaker 1: and authoritarian voice on COVID, he has not yet had

455
00:27:19,200 --> 00:27:22,080
Speaker 1: a single time where he's like, I am sorry, I

456
00:27:22,200 --> 00:27:26,159
Speaker 1: got this wrong. Yeah. It's because he knows that the

457
00:27:26,440 --> 00:27:31,239
Speaker 1: entire Faucciite system rests upon this false belief in the

458
00:27:31,320 --> 00:27:36,320
Speaker 1: infallibility of the expertise of the system which he was

459
00:27:36,359 --> 00:27:40,359
Speaker 1: a representative of. If one part of that system is

460
00:27:40,400 --> 00:27:43,240
Speaker 1: shown to be faulty, it opens up the rest of

461
00:27:43,240 --> 00:27:45,840
Speaker 1: it to questioning. This is also why It's very similar

462
00:27:45,840 --> 00:27:52,160
Speaker 1: to an extreme religious belief. You cannot question any aspect

463
00:27:52,240 --> 00:27:54,880
Speaker 1: of it. Right. There are some cults where if you say,

464
00:27:54,920 --> 00:27:57,320
Speaker 1: hold on, I can't talk to any member of my family.

465
00:27:57,520 --> 00:27:59,840
Speaker 1: I can't talk to any of my loved ones anymore.

466
00:28:00,040 --> 00:28:01,439
Speaker 1: To be a part of your group, that's it. Uh.

467
00:28:02,200 --> 00:28:04,120
Speaker 1: You you're in or you're route. You know, you either

468
00:28:04,200 --> 00:28:07,000
Speaker 1: you either go along with everything or you're not a

469
00:28:07,040 --> 00:28:10,440
Speaker 1: part of this anymore. That's what the science was as

470
00:28:10,520 --> 00:28:14,480
Speaker 1: as constituted by Fauci and Burkes and the Democrat apparatus.

471
00:28:14,760 --> 00:28:17,320
Speaker 1: And that's why even to this day we're sitting here.

472
00:28:17,680 --> 00:28:19,840
Speaker 1: Whatever happened, We had all these numbers all the time

473
00:28:20,040 --> 00:28:22,280
Speaker 1: about what percentage of people were dying from COVID who

474
00:28:22,280 --> 00:28:27,840
Speaker 1: were both gone, it's all gone. What happened, Clay. Yeah,

475
00:28:28,240 --> 00:28:31,040
Speaker 1: So we're going to continue to ask these questions as

476
00:28:31,080 --> 00:28:33,840
Speaker 1: we have been doing for years. And I think we're

477
00:28:33,880 --> 00:28:37,280
Speaker 1: going to be right again as we have been for years.

478
00:28:37,280 --> 00:28:39,960
Speaker 1: I don't know. I don't know if there's anything in

479
00:28:40,000 --> 00:28:43,640
Speaker 1: my in my media career so far that I am

480
00:28:43,720 --> 00:28:47,160
Speaker 1: more proud of in terms of rightness and earliness. And

481
00:28:47,200 --> 00:28:48,640
Speaker 1: I know you feel the same way. And this is

482
00:28:48,640 --> 00:28:50,480
Speaker 1: we always remind you this. Our Clay and I actually

483
00:28:50,520 --> 00:28:52,920
Speaker 1: met was I was like, this is crazy, and I

484
00:28:52,960 --> 00:28:54,400
Speaker 1: was like, there's a sports guy. He thinks this is

485
00:28:54,400 --> 00:28:58,120
Speaker 1: crazy too. We should talk on the COVID stuff. There

486
00:28:58,240 --> 00:29:01,520
Speaker 1: is nothing substantive that I feel like, Wow, I missed

487
00:29:01,520 --> 00:29:03,280
Speaker 1: that by a mile. In fact, the only thing that

488
00:29:03,320 --> 00:29:09,200
Speaker 1: I am hard on myself about is I did think

489
00:29:09,240 --> 00:29:12,040
Speaker 1: that the vaccines would be at least as effective as

490
00:29:12,080 --> 00:29:14,880
Speaker 1: like a flu shot for older people, which are usually

491
00:29:14,920 --> 00:29:16,640
Speaker 1: you know, third. I mean, that was what the data

492
00:29:16,680 --> 00:29:18,920
Speaker 1: initially reflected. And I don't think there's anything wrong with that.

493
00:29:18,960 --> 00:29:20,880
Speaker 1: And the one thing I wish I had not done

494
00:29:21,120 --> 00:29:23,680
Speaker 1: is I wish I hadn't in February and March of

495
00:29:23,760 --> 00:29:26,920
Speaker 1: twenty trusted some of the numbers coming out of China,

496
00:29:27,320 --> 00:29:30,400
Speaker 1: because even to this day, we have no idea what's

497
00:29:30,440 --> 00:29:33,400
Speaker 1: actually taking place in China, and trying to make policy

498
00:29:33,480 --> 00:29:35,520
Speaker 1: based on any of the numbers and any of the

499
00:29:35,600 --> 00:29:38,520
Speaker 1: data that has come out of China was a fool's

500
00:29:38,680 --> 00:29:41,240
Speaker 1: Errand I wish I had not looked at that data

501
00:29:41,240 --> 00:29:44,080
Speaker 1: in February March and tried to extrapolated to the United States.

502
00:29:44,400 --> 00:29:47,160
Speaker 1: Otherwise I wouldn't change a single thing that I've said

503
00:29:47,200 --> 00:29:50,880
Speaker 1: about COVID over the past couple of years. Let's talk

504
00:29:50,920 --> 00:29:53,480
Speaker 1: about saving lives are for a second, my friends. Last year,

505
00:29:53,480 --> 00:29:56,240
Speaker 1: as a result of your generosity, you helped the preborn

506
00:29:56,320 --> 00:30:00,680
Speaker 1: pregnancy clinics save thousands of babies lives. Reborn is a

507
00:30:00,760 --> 00:30:05,680
Speaker 1: nonprofit organization with clinics nationwide. Each preborn clinic welcomes hundreds

508
00:30:05,680 --> 00:30:08,680
Speaker 1: of expectant mothers and provides them with free ultrasounds and

509
00:30:08,800 --> 00:30:11,920
Speaker 1: plenty of support and care. It's that first introduction to

510
00:30:11,960 --> 00:30:15,200
Speaker 1: their child through that ultrasound that so very often determines

511
00:30:15,240 --> 00:30:19,920
Speaker 1: a mother's decision to choose life over abortion. They've been

512
00:30:19,960 --> 00:30:22,640
Speaker 1: dedicated to this mission for seventeen years and have rescued

513
00:30:22,680 --> 00:30:26,680
Speaker 1: over two hundred thousand babies from abortion. Preborn receives no

514
00:30:26,760 --> 00:30:29,800
Speaker 1: government funding, so their clinics are completely dependent on us,

515
00:30:29,880 --> 00:30:33,240
Speaker 1: you and me, the pro life community. So please to donate,

516
00:30:33,560 --> 00:30:36,000
Speaker 1: dial pound two five zero from your phone, say the

517
00:30:36,080 --> 00:30:39,320
Speaker 1: keyword baby. One hundred percent of your donation will go

518
00:30:39,360 --> 00:30:43,080
Speaker 1: to saving babies, and it is tax deductible. One ultrasound

519
00:30:43,120 --> 00:30:45,240
Speaker 1: is just twenty eight dollars. That's less than most people

520
00:30:45,280 --> 00:30:50,040
Speaker 1: spending on dinner. Get involved today, Save lives. Dial pound

521
00:30:50,040 --> 00:30:52,520
Speaker 1: two five zero from your phone, say the keyword baby,

522
00:30:52,880 --> 00:30:56,680
Speaker 1: or donate securely at preborn dot com slash buck. Every

523
00:30:56,760 --> 00:31:00,400
Speaker 1: day preborn clinics save a hundred and fifty babies lives.

524
00:31:00,680 --> 00:31:04,160
Speaker 1: Be a part of that critical mission. Go to preborn

525
00:31:04,280 --> 00:31:09,600
Speaker 1: dot com slash Buck sponsored by Preborn Clay Travis at

526
00:31:09,680 --> 00:31:14,320
Speaker 1: Buck Sexton Making Sense in an Insane World. Welcome back

527
00:31:14,320 --> 00:31:16,280
Speaker 1: to Clay and Buck. We want to talk to you

528
00:31:16,480 --> 00:31:21,480
Speaker 1: about a pretty amazing article here by David's Why. He's

529
00:31:21,480 --> 00:31:24,440
Speaker 1: a journalist with Atlantic, the Free Press, and New York Magazine.

530
00:31:24,800 --> 00:31:29,479
Speaker 1: We've got his latest up at Clay and Buck dot com.

531
00:31:29,520 --> 00:31:34,680
Speaker 1: His latest article there, which says why spending time with

532
00:31:34,800 --> 00:31:37,880
Speaker 1: kids might actually help protect you from COVID. That was

533
00:31:37,880 --> 00:31:40,520
Speaker 1: just from a few weeks ago. There's some really fascinating

534
00:31:40,600 --> 00:31:44,400
Speaker 1: findings in here, David. We appreciate, We appreciate you coming on.

535
00:31:44,440 --> 00:31:47,040
Speaker 1: I'm not sure that many folks in the New York

536
00:31:47,040 --> 00:31:52,840
Speaker 1: Magazine world listening to Clay and Buck, but they should be. Well,

537
00:31:53,000 --> 00:31:55,640
Speaker 1: it's totally's good to talk with you guys. Glad glad

538
00:31:55,680 --> 00:31:58,400
Speaker 1: to come on. We appreciate it. So so here I

539
00:31:58,440 --> 00:32:01,440
Speaker 1: wanted to get to there's a part of your piece,

540
00:32:01,560 --> 00:32:03,280
Speaker 1: and I was just talking to Clay about it in

541
00:32:03,280 --> 00:32:08,160
Speaker 1: our commercial break that I just find fascinating in which

542
00:32:08,520 --> 00:32:10,640
Speaker 1: you're getting into a lot of studies and I don't

543
00:32:10,640 --> 00:32:12,360
Speaker 1: want to. You know, you're you're the guy who wrote it,

544
00:32:12,400 --> 00:32:14,680
Speaker 1: and you're the expert on the data you're citing. But

545
00:32:14,760 --> 00:32:17,680
Speaker 1: it seems like there is a suggestion here that some

546
00:32:17,760 --> 00:32:20,080
Speaker 1: of us were making early on in the lockdowns, and

547
00:32:20,120 --> 00:32:24,840
Speaker 1: I mean very early, like twenty twenty spring, that locking

548
00:32:24,920 --> 00:32:32,000
Speaker 1: people away and social distancing by changing our normal human interactions,

549
00:32:32,400 --> 00:32:36,040
Speaker 1: we change the exposure at a mass level that our

550
00:32:36,080 --> 00:32:41,360
Speaker 1: immune systems had to coronaviruses that are common colds, and

551
00:32:41,440 --> 00:32:45,080
Speaker 1: that that then may have had a negative impact on

552
00:32:45,080 --> 00:32:50,880
Speaker 1: how people's immune systems handled actual COVID, the coronavirus nineteen

553
00:32:51,120 --> 00:32:54,600
Speaker 1: am I broad strokes correct on that, and can you

554
00:32:54,640 --> 00:32:58,720
Speaker 1: take us deeper into it? Though you were very prescient,

555
00:32:59,320 --> 00:33:03,400
Speaker 1: you are correct what you just described. And yeah, I

556
00:33:03,440 --> 00:33:07,080
Speaker 1: wrote this piece for New York Magazine and on two

557
00:33:07,120 --> 00:33:11,360
Speaker 1: different studies, and what I thought was interesting is that

558
00:33:12,280 --> 00:33:14,680
Speaker 1: they both sort of complimented each other. One of the

559
00:33:14,720 --> 00:33:18,400
Speaker 1: studies was what we would call an epidemiological study, where

560
00:33:18,400 --> 00:33:22,880
Speaker 1: they looked at the prevalence of a disease, in this instance,

561
00:33:22,880 --> 00:33:27,760
Speaker 1: COVID amongst a population, and they found that people who

562
00:33:28,040 --> 00:33:31,960
Speaker 1: lived with or had high exposure to young children had

563
00:33:32,000 --> 00:33:38,520
Speaker 1: a dramatically lower incidence of severe COVID than similarly matched people.

564
00:33:38,600 --> 00:33:41,160
Speaker 1: So it's not like they just took young parents and said, oh,

565
00:33:41,200 --> 00:33:43,400
Speaker 1: because they have you know, less severe COVID than old

566
00:33:43,400 --> 00:33:46,440
Speaker 1: people who live alone. No, they matched it for BMI,

567
00:33:46,520 --> 00:33:50,680
Speaker 1: for diabetes, for you know, age, they matched them, and nevertheless,

568
00:33:50,880 --> 00:33:55,000
Speaker 1: all things being equal, people with exposure to young children

569
00:33:55,400 --> 00:34:00,840
Speaker 1: had a significantly lower incidence of severe COVID than the

570
00:34:00,960 --> 00:34:02,760
Speaker 1: same type of person with all the same you know,

571
00:34:02,800 --> 00:34:06,320
Speaker 1: medical history whatever, who didn't have that exposure. And the

572
00:34:06,360 --> 00:34:10,879
Speaker 1: second study that I wrote about was compliments it well

573
00:34:11,040 --> 00:34:13,440
Speaker 1: is a biological study where they didn't look at the

574
00:34:13,520 --> 00:34:17,520
Speaker 1: incidence of disease in their large population. Instead, they looked

575
00:34:17,560 --> 00:34:21,480
Speaker 1: at within the VA system. People who had tested positive

576
00:34:21,920 --> 00:34:25,759
Speaker 1: for two of the four common cold coronaviruses that are

577
00:34:25,800 --> 00:34:31,520
Speaker 1: really circulating around had a lower incidence of testing positive

578
00:34:31,880 --> 00:34:35,920
Speaker 1: for stars COVIE two, you know, the virus that causes COVID.

579
00:34:36,400 --> 00:34:39,279
Speaker 1: So when you look at these two studies together, it

580
00:34:39,280 --> 00:34:44,640
Speaker 1: paints a very very persuasive picture that being exposed to

581
00:34:44,719 --> 00:34:48,920
Speaker 1: kids in particular and their common colds, indeed, as you

582
00:34:49,239 --> 00:34:54,720
Speaker 1: apparently knew way back when, is protective against severe COVID.

583
00:34:55,160 --> 00:34:58,279
Speaker 1: And what I mentioned in the article very gently is,

584
00:34:58,719 --> 00:35:03,279
Speaker 1: you know, this does call into question a lot, and

585
00:35:03,360 --> 00:35:07,160
Speaker 1: it turns out the people with exposure to kids, we're

586
00:35:07,320 --> 00:35:11,600
Speaker 1: less likely to be severely ill from COVID. Okay, I

587
00:35:11,680 --> 00:35:13,400
Speaker 1: want to build on this, David, And you've done a

588
00:35:13,400 --> 00:35:15,759
Speaker 1: lot of tremendous work looking at data and writing about it,

589
00:35:15,840 --> 00:35:19,319
Speaker 1: even if sometimes it may upset I bet some of

590
00:35:19,360 --> 00:35:23,160
Speaker 1: the people who are regular readers of your product, and

591
00:35:23,280 --> 00:35:24,960
Speaker 1: I'm actually going to ask another question about that a

592
00:35:25,000 --> 00:35:28,320
Speaker 1: little bit later. But the big takeaway I had here

593
00:35:28,760 --> 00:35:33,120
Speaker 1: was we told grandparents in particular. These are people who

594
00:35:33,120 --> 00:35:36,400
Speaker 1: are in their sixties, seventies, maybe eighties, who have a

595
00:35:36,480 --> 00:35:39,319
Speaker 1: limited amount of time that they could spend with their

596
00:35:39,400 --> 00:35:44,000
Speaker 1: grandkids that the absolute safest thing they should do was

597
00:35:44,080 --> 00:35:47,040
Speaker 1: stay as far from their grandkids as they possibly could.

598
00:35:47,640 --> 00:35:54,360
Speaker 1: Many people listened and isolated themselves from their grandkids for years.

599
00:35:54,440 --> 00:35:58,440
Speaker 1: Some people are still crazily doing this, and in reality

600
00:35:58,520 --> 00:36:03,200
Speaker 1: that was actually worse for their health. That's an unforgivable

601
00:36:03,320 --> 00:36:07,640
Speaker 1: sin to me, because one of the great things in

602
00:36:07,760 --> 00:36:10,279
Speaker 1: life is being close. I'm told I hope to get

603
00:36:10,280 --> 00:36:13,319
Speaker 1: there one day to your grandkids and being able to

604
00:36:13,360 --> 00:36:17,080
Speaker 1: experience them. And when you're in your sixties, seventies, and eighties,

605
00:36:17,520 --> 00:36:20,440
Speaker 1: you don't have that many years left. So some people

606
00:36:20,520 --> 00:36:24,520
Speaker 1: have given away years of their life and family experiences

607
00:36:25,160 --> 00:36:28,920
Speaker 1: for something that actually was harmful to their health, the

608
00:36:29,040 --> 00:36:32,359
Speaker 1: exact opposite of what our public health apparatus told them.

609
00:36:32,760 --> 00:36:35,560
Speaker 1: I'm summing that up for everybody out there listening. This

610
00:36:35,640 --> 00:36:41,080
Speaker 1: is what those studies would say. How just infuriating is that?

611
00:36:43,560 --> 00:36:45,160
Speaker 1: I mean, yeah, I mean I have a lot of

612
00:36:45,160 --> 00:36:47,960
Speaker 1: thoughts in that. I will add this qualifier, which is

613
00:36:48,280 --> 00:36:52,000
Speaker 1: that if you're an old person or so in particularly

614
00:36:52,120 --> 00:36:56,120
Speaker 1: vulnerable to you know, becoming very ill from COVID, if

615
00:36:56,160 --> 00:36:59,799
Speaker 1: those elderly people you know in their eighties managed to

616
00:37:00,040 --> 00:37:04,200
Speaker 1: isolate themselves from everyone, not just little kids, but from

617
00:37:04,200 --> 00:37:08,200
Speaker 1: everyone and did not get COVID until they were vaccinated,

618
00:37:08,680 --> 00:37:11,719
Speaker 1: then you know, at a population level, they were better off.

619
00:37:11,960 --> 00:37:17,160
Speaker 1: So it was not entirely unwise or unwarranted. It was

620
00:37:17,320 --> 00:37:22,640
Speaker 1: reasonable for elderly people to isolate themselves if and this

621
00:37:22,719 --> 00:37:26,600
Speaker 1: is a giant and if it was isolation from everyone

622
00:37:26,920 --> 00:37:29,839
Speaker 1: and they were able to hold out with these sort

623
00:37:29,880 --> 00:37:31,840
Speaker 1: of you know, basically you had to become a hermit

624
00:37:31,880 --> 00:37:34,960
Speaker 1: and had that protection. What's that? Basically you had to

625
00:37:34,960 --> 00:37:37,680
Speaker 1: become a hermit if you were going to get any

626
00:37:37,719 --> 00:37:41,239
Speaker 1: benefit at all. But also this doesn't David's already cut

627
00:37:41,280 --> 00:37:44,080
Speaker 1: you off. And also this doesn't analyze mental health, which

628
00:37:44,120 --> 00:37:47,200
Speaker 1: I would imagine for elderly people who often get isolated,

629
00:37:47,520 --> 00:37:50,520
Speaker 1: became really bad. I would imagine for them as well.

630
00:37:51,840 --> 00:37:54,280
Speaker 1: I think a lot of what the evidence shows, however, though,

631
00:37:54,480 --> 00:37:57,160
Speaker 1: is that that didn't happen. A lot of the narrative,

632
00:37:57,200 --> 00:37:59,359
Speaker 1: at least as I perceive it as someone who's been

633
00:37:59,400 --> 00:38:04,400
Speaker 1: studying writing about this for almost three years, is that

634
00:38:04,400 --> 00:38:08,240
Speaker 1: that older people and adults in general were in many

635
00:38:08,280 --> 00:38:11,920
Speaker 1: cases living their lives normally or at least exposing themselves

636
00:38:11,920 --> 00:38:15,480
Speaker 1: to all sorts of different people. But there was this bizarre,

637
00:38:16,120 --> 00:38:19,680
Speaker 1: if if I can use this word, almost fetishization of

638
00:38:20,239 --> 00:38:24,520
Speaker 1: children as the dangerous midal vectors. So if someone did that,

639
00:38:24,680 --> 00:38:27,719
Speaker 1: if you had an elderly person who was still going

640
00:38:27,719 --> 00:38:30,040
Speaker 1: to their weekly bridge game or you know, going to

641
00:38:30,080 --> 00:38:33,720
Speaker 1: the supermarket and all these other stuff, but was particularly

642
00:38:33,760 --> 00:38:38,480
Speaker 1: afraid of their grandchildren. The evidence shows that that was woke.

643
00:38:38,600 --> 00:38:42,200
Speaker 1: Well you know, David yeah, David yeah. I just want

644
00:38:42,200 --> 00:38:44,320
Speaker 1: to jump in because because the one thing that I

645
00:38:44,320 --> 00:38:46,840
Speaker 1: an argument that I've been making now for almost three years,

646
00:38:47,040 --> 00:38:49,680
Speaker 1: is that we never actually did a lockdown in this country.

647
00:38:50,080 --> 00:38:53,160
Speaker 1: That there that a big portion of people were still

648
00:38:53,200 --> 00:38:55,839
Speaker 1: going to jobs, you know, the critical jobs that had

649
00:38:55,880 --> 00:38:58,920
Speaker 1: to be done, and people were still interacting overwhelmed. There

650
00:38:58,920 --> 00:39:01,560
Speaker 1: were very few people people who for any length of

651
00:39:01,640 --> 00:39:05,560
Speaker 1: time truly separated themselves from the rest of humanity in

652
00:39:05,600 --> 00:39:09,120
Speaker 1: a way that would really protect them from getting the virus.

653
00:39:09,239 --> 00:39:13,200
Speaker 1: That you're one hundred percent correct. And I also would argue,

654
00:39:13,760 --> 00:39:15,480
Speaker 1: and this is a large part of the book I'm

655
00:39:15,480 --> 00:39:18,960
Speaker 1: working on, which focuses on American schools during the pandemic,

656
00:39:19,000 --> 00:39:21,359
Speaker 1: but the kind of I cast my net wider because

657
00:39:21,360 --> 00:39:23,719
Speaker 1: it's all connected, which is this. Actually it was a

658
00:39:23,880 --> 00:39:28,600
Speaker 1: very classist based policies we had where the people if

659
00:39:28,600 --> 00:39:32,719
Speaker 1: you're a working class person, a cashier, a supermarket, an electrician,

660
00:39:33,160 --> 00:39:36,080
Speaker 1: or a plumber who's going into people's homes, they weren't

661
00:39:36,120 --> 00:39:39,279
Speaker 1: able to just sit home and do their work on

662
00:39:39,320 --> 00:39:42,560
Speaker 1: a you know, chromebook in their home office and watch

663
00:39:42,640 --> 00:39:45,840
Speaker 1: Netflix and do whatever. They were still engaged in society.

664
00:39:46,000 --> 00:39:49,960
Speaker 1: So the policies that were advocated for and put in place,

665
00:39:50,480 --> 00:39:53,319
Speaker 1: you know, which to me I find ironic is that,

666
00:39:53,400 --> 00:39:57,560
Speaker 1: you know, liberals tend to be associated with having more

667
00:39:57,680 --> 00:40:01,759
Speaker 1: concern about the working class and lower income people, but

668
00:40:01,880 --> 00:40:08,200
Speaker 1: yet these policies very very specifically harmed those people. Are

669
00:40:08,239 --> 00:40:11,319
Speaker 1: put them in the greatest way of harm. While the

670
00:40:11,560 --> 00:40:14,759
Speaker 1: you know, quote laptop class was able to continue to

671
00:40:14,800 --> 00:40:17,640
Speaker 1: do their you know, white collar work from home and

672
00:40:17,680 --> 00:40:20,600
Speaker 1: they could isolate to whatever degree they felt like they

673
00:40:20,640 --> 00:40:23,640
Speaker 1: needed to based on their anxiety levels, while you know,

674
00:40:24,080 --> 00:40:27,240
Speaker 1: the electrician you was still going into people's homes. So

675
00:40:27,320 --> 00:40:29,400
Speaker 1: I think that's you know, I'm sure you obviously have

676
00:40:29,480 --> 00:40:31,600
Speaker 1: been aware of that as well. So it's it's just

677
00:40:31,640 --> 00:40:35,040
Speaker 1: like one more piece of this broader, you know, mosaic

678
00:40:35,640 --> 00:40:39,080
Speaker 1: of you know, of unintended consequences and sort of you know,

679
00:40:39,160 --> 00:40:42,360
Speaker 1: bad incentives with a lot of these policies. Yeah, and

680
00:40:42,400 --> 00:40:45,560
Speaker 1: in particular, David, you could point to the poorest kids

681
00:40:45,600 --> 00:40:49,520
Speaker 1: among us also bore the greatest cost in terms of

682
00:40:49,600 --> 00:40:53,480
Speaker 1: remote schooling. Right, Like the poorer you were the more

683
00:40:53,520 --> 00:40:57,280
Speaker 1: likely you were to remain remote schooled for longer periods

684
00:40:57,280 --> 00:41:00,760
Speaker 1: of time. Uh So, the you know, while you're claiming

685
00:41:00,760 --> 00:41:04,000
Speaker 1: to care about equity, we actually ended up with the

686
00:41:04,080 --> 00:41:09,120
Speaker 1: least equitable outcome imaginable when it comes to educational experience

687
00:41:09,440 --> 00:41:12,759
Speaker 1: throughout COVID as well, which I think is probably the

688
00:41:12,760 --> 00:41:16,640
Speaker 1: biggest sin of all the sins associated with our COVID response.

689
00:41:17,080 --> 00:41:18,880
Speaker 1: Last question for you, David, You've been on with us

690
00:41:18,920 --> 00:41:24,640
Speaker 1: several times. You are not traditionally someone who would be

691
00:41:24,800 --> 00:41:28,560
Speaker 1: on a show like this, Right, your magazine probably does

692
00:41:28,600 --> 00:41:32,200
Speaker 1: not regularly reach a lot of our listeners. I think

693
00:41:32,239 --> 00:41:34,839
Speaker 1: that's fair to say, Right, we're cross pollinating a little

694
00:41:34,840 --> 00:41:38,520
Speaker 1: bit here. What is the response inside of your media

695
00:41:38,600 --> 00:41:43,880
Speaker 1: ecosystem to what I would say are your inconvenient truths

696
00:41:43,920 --> 00:41:47,600
Speaker 1: in reporting on COVID, And what do you think about

697
00:41:47,680 --> 00:41:51,440
Speaker 1: the way, for instance, many people in media are responding

698
00:41:51,480 --> 00:41:56,240
Speaker 1: to what Elon Musk is releasing as information about COVID

699
00:41:56,320 --> 00:41:59,040
Speaker 1: censorship and certainly what we're seeing come out of the

700
00:41:59,040 --> 00:42:02,600
Speaker 1: Biden administration and relating to Facebook or Instagram or any

701
00:42:02,680 --> 00:42:06,439
Speaker 1: of these other platforms. Are you surprised by the way

702
00:42:06,480 --> 00:42:08,839
Speaker 1: that that is being received and how has your work

703
00:42:08,920 --> 00:42:15,279
Speaker 1: been received. I'm not surprised at all. Unfortunately, by the way,

704
00:42:15,320 --> 00:42:17,160
Speaker 1: you know, a lot of the Twitter files reporting and

705
00:42:17,280 --> 00:42:18,880
Speaker 1: I was you probably saw. I was one of the

706
00:42:18,960 --> 00:42:21,960
Speaker 1: people who was at Twitter headquarters in San Francisco, and

707
00:42:22,000 --> 00:42:24,200
Speaker 1: I released my own I sort of did the first

708
00:42:24,280 --> 00:42:29,240
Speaker 1: big Twitter files reporting related to covid and content moderation

709
00:42:29,280 --> 00:42:32,320
Speaker 1: on the platform. And I think Mike the thread the

710
00:42:32,360 --> 00:42:35,880
Speaker 1: last time I checked, at more than sixty million views,

711
00:42:35,880 --> 00:42:40,120
Speaker 1: and to my knowledge, it was never covered by any

712
00:42:40,320 --> 00:42:41,919
Speaker 1: of the sort of you know, how do you think

713
00:42:41,960 --> 00:42:44,200
Speaker 1: that happens? By the way, like who was making that

714
00:42:44,239 --> 00:42:47,200
Speaker 1: calculated decision at the New York Times at the Washington Post,

715
00:42:47,600 --> 00:42:49,560
Speaker 1: We're not going to cover this and treat it as

716
00:42:49,600 --> 00:42:53,880
Speaker 1: actual news. Yeah, I mean the New York Times and

717
00:42:54,080 --> 00:42:56,839
Speaker 1: you know CNN or wherever else is is made up

718
00:42:56,880 --> 00:43:00,280
Speaker 1: of people who are making individual decisions. I don't think

719
00:43:00,800 --> 00:43:02,920
Speaker 1: and you know, because I know people who work at

720
00:43:02,960 --> 00:43:04,919
Speaker 1: the Times and other places, I don't think it gets

721
00:43:04,960 --> 00:43:07,480
Speaker 1: to the point where there's some sort of like conspiratorial

722
00:43:07,560 --> 00:43:09,799
Speaker 1: meeting or something where they're like, oh, let's not cover this,

723
00:43:09,920 --> 00:43:12,480
Speaker 1: although there may be conversations about it. I think it's

724
00:43:12,520 --> 00:43:14,560
Speaker 1: on a deeper level, it's just kind of baked in

725
00:43:14,760 --> 00:43:18,040
Speaker 1: where the individual people who might be covering this, whether

726
00:43:18,040 --> 00:43:21,200
Speaker 1: it's the reporters or the editors who might assign something

727
00:43:21,239 --> 00:43:25,040
Speaker 1: like this, they all just already have dismissed it as

728
00:43:25,080 --> 00:43:28,759
Speaker 1: the quote unquote nothing burger. And it's like, I don't

729
00:43:28,760 --> 00:43:30,680
Speaker 1: think it even gets to the point where there's like

730
00:43:30,719 --> 00:43:34,160
Speaker 1: an overt sort of you know, directive to not cover this.

731
00:43:34,320 --> 00:43:36,959
Speaker 1: I think it's just kind of like already baked into

732
00:43:37,360 --> 00:43:41,800
Speaker 1: the viewpoint to nix my metaphors about how they perceive

733
00:43:41,880 --> 00:43:44,600
Speaker 1: what is. So they're so biased they don't even recognize

734
00:43:44,600 --> 00:43:48,520
Speaker 1: there's a bias involved. They just think it's reality or objective. David,

735
00:43:49,000 --> 00:43:51,560
Speaker 1: great work on this Klinbuck dot com. Guys. The piece

736
00:43:51,560 --> 00:43:53,279
Speaker 1: from York Magazine is linked there. If you want to

737
00:43:53,320 --> 00:43:55,880
Speaker 1: go read it right now, we recommend you do. David,

738
00:43:56,080 --> 00:43:57,840
Speaker 1: excited to hear about your book. Please come back and

739
00:43:57,880 --> 00:44:00,760
Speaker 1: talk to us more about all this stuff. Okay. Always

740
00:44:00,840 --> 00:44:03,080
Speaker 1: enjoy talking to you guys, Thanks for having me. Thank you.

741
00:44:04,120 --> 00:44:06,759
Speaker 1: Rising inflation, a votive stock market, reaking havoc on your

742
00:44:06,800 --> 00:44:11,000
Speaker 1: retirement accounts. With all this economic uncertainty and peril ahead,

743
00:44:11,360 --> 00:44:15,200
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744
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745
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746
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Speaker 1: percent to eleven percent APY paid monthly. These are corporate

747
00:44:24,160 --> 00:44:27,200
Speaker 1: bond offerings. They're open to all investors with annual interests

748
00:44:27,200 --> 00:44:30,600
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749
00:44:30,600 --> 00:44:34,240
Speaker 1: about Phoenix's business structure ways. They offer security for their offerings,

750
00:44:34,320 --> 00:44:37,319
Speaker 1: risks and financials. They host live Q and a's where

751
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752
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Speaker 1: PHX dot Com or call three two three Phoenix. Investment

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754
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755
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Speaker 1: up today and investing with PHX dot Com. That's investing

756
00:44:52,960 --> 00:44:56,360
Speaker 1: with phx dot Com or call three two three Phoenix

757
00:44:56,480 --> 00:45:02,160
Speaker 1: to connect. Cheeping You Real, Cheeping You Honest. Clay Travis

758
00:45:02,160 --> 00:45:05,480
Speaker 1: and buck Sexton Welcome back in Close It Up Shop

759
00:45:05,600 --> 00:45:11,000
Speaker 1: Wednesday edition Clay Travis buck Sexton Show. Two Things One.

760
00:45:11,360 --> 00:45:16,040
Speaker 1: The Biden administration has officially extended the COVID emergency for

761
00:45:16,200 --> 00:45:19,440
Speaker 1: another ninety days. I think we have a cut of

762
00:45:19,520 --> 00:45:23,040
Speaker 1: doctor Ashish Jaw, who is one of the idiots still

763
00:45:23,040 --> 00:45:26,399
Speaker 1: advising Joe Biden on COVID being questioned about this. Let

764
00:45:26,400 --> 00:45:29,200
Speaker 1: me play it for you today, the Biden administration renewed

765
00:45:29,320 --> 00:45:33,200
Speaker 1: the COVID nineteen Public Health Emergency. Why is that necessary?

766
00:45:33,360 --> 00:45:36,480
Speaker 1: Joining us now as White House Coronavirus Response Coordinator doctor

767
00:45:36,480 --> 00:45:39,960
Speaker 1: Ashish Jaw. So is this because that new variant, the

768
00:45:40,160 --> 00:45:43,920
Speaker 1: XBB subvariant is so transmissible? You know? This was a

769
00:45:43,920 --> 00:45:47,520
Speaker 1: determination made by the HHS sectary sectary of Sarah and

770
00:45:47,680 --> 00:45:49,920
Speaker 1: the reason is that there's still a lot of COVID

771
00:45:49,960 --> 00:45:53,640
Speaker 1: out there and the Public Health emergency and his determination

772
00:45:54,280 --> 00:45:56,759
Speaker 1: gives us tools to fight this. XBB one five is

773
00:45:56,760 --> 00:45:59,719
Speaker 1: one of the variants of the Secretary Data decision that

774
00:45:59,800 --> 00:46:02,800
Speaker 1: the tools of the Public Health Emergency are still necessary

775
00:46:02,800 --> 00:46:05,760
Speaker 1: to continue to fight this virus. He needs the power,

776
00:46:05,840 --> 00:46:08,080
Speaker 1: by the way, to make you do stuff. He doesn't

777
00:46:08,239 --> 00:46:11,120
Speaker 1: when they say tools, just it's their ability to order

778
00:46:11,160 --> 00:46:13,879
Speaker 1: you around. That's what this is really about. All right.

779
00:46:13,920 --> 00:46:17,200
Speaker 1: So that sucks, and that's still going on. And the

780
00:46:17,280 --> 00:46:19,600
Speaker 1: positive we shared with you earlier is at least the

781
00:46:19,640 --> 00:46:22,360
Speaker 1: COVID shot mandate is no longer in effect for the

782
00:46:22,360 --> 00:46:26,160
Speaker 1: Department of Defense, and hopefully a lot of colleges, universities,

783
00:46:26,200 --> 00:46:29,800
Speaker 1: and employers will follow that lead. I wanted to finish

784
00:46:29,960 --> 00:46:33,200
Speaker 1: with an actual funny joke. They were honoring Eddie Murphy

785
00:46:33,320 --> 00:46:36,680
Speaker 1: last night at the Golden Globes. My wife had this on.

786
00:46:36,800 --> 00:46:40,040
Speaker 1: I came in. I heard it. I think you'll enjoy it.

787
00:46:40,200 --> 00:46:41,799
Speaker 1: You have to wait for it for a moment. But

788
00:46:41,920 --> 00:46:44,680
Speaker 1: here is Eddie Murphy's life advice. Buck, you haven't heard

789
00:46:44,680 --> 00:46:49,279
Speaker 1: this yet. Listen. There is a definitive blueprint that you

790
00:46:49,400 --> 00:46:56,640
Speaker 1: can follow to achieve success, prosperity, longevity, and peace of mind.

791
00:46:57,480 --> 00:47:00,560
Speaker 1: Just a blueprint, and I followed it my whole career.

792
00:47:00,880 --> 00:47:03,439
Speaker 1: It's very simple. There's three things you just do. These

793
00:47:03,440 --> 00:47:11,560
Speaker 1: three things, pay a taxes, minia business, and keep will

794
00:47:11,760 --> 00:47:19,520
Speaker 1: Smith's wife's name pretty good. Out of nowhere, Eddie Murphy

795
00:47:19,600 --> 00:47:21,480
Speaker 1: still got it Buck. When he came up on the stage,

796
00:47:22,080 --> 00:47:26,560
Speaker 1: they played the theme music to Beverly Hills Cop still

797
00:47:27,400 --> 00:47:29,680
Speaker 1: really one of the most underrated movies of the eighties.

798
00:47:29,719 --> 00:47:32,000
Speaker 1: I think underray it was one of the top ten

799
00:47:32,160 --> 00:47:36,680
Speaker 1: highest box office performers. It was a phenomenal success at

800
00:47:36,680 --> 00:47:40,160
Speaker 1: the time and for any of you both Eddie Murphy

801
00:47:40,200 --> 00:47:43,359
Speaker 1: and Beverly Hills cop fans out there. It was originally

802
00:47:43,880 --> 00:47:46,360
Speaker 1: not a comedy and it was going to be starring

803
00:47:46,800 --> 00:47:50,880
Speaker 1: Sylvester Stallone. It was not supposed to be anything like

804
00:47:50,960 --> 00:47:53,399
Speaker 1: what it was, and then Eddie Murphy took it over.

805
00:47:53,640 --> 00:47:56,520
Speaker 1: One of the best comedic performances in a movie. I

806
00:47:56,560 --> 00:48:00,840
Speaker 1: would argue of all time. Have you seen the Coming

807
00:48:00,840 --> 00:48:04,880
Speaker 1: to America Too movie yet that they had on Netflix,

808
00:48:04,960 --> 00:48:07,359
Speaker 1: I think or Amazon, whatever it was. I didn't even

809
00:48:07,440 --> 00:48:09,960
Speaker 1: know that was a thing. And yes, they made a sequel.

810
00:48:10,160 --> 00:48:12,359
Speaker 1: I was talking with Laura about this last night after

811
00:48:12,640 --> 00:48:16,000
Speaker 1: the Golden Globe. I've heard it's pretty good. I haven't

812
00:48:16,040 --> 00:48:18,560
Speaker 1: seen it either. I'm gonna watch it. I'll give you

813
00:48:18,600 --> 00:48:20,960
Speaker 1: a review soon. I think I put it. Did you

814
00:48:21,000 --> 00:48:22,560
Speaker 1: put up a poll? And I put up You put

815
00:48:22,640 --> 00:48:25,040
Speaker 1: up the pole right where they said of the best

816
00:48:25,120 --> 00:48:29,680
Speaker 1: Eddie Murphy movies, it was Coming to America actually beat

817
00:48:29,719 --> 00:48:33,279
Speaker 1: out Trading Places, which I still think is blasphemy. But

818
00:48:33,520 --> 00:48:35,880
Speaker 1: I think Coming to America is the best Eddie Murphy movie,

819
00:48:36,239 --> 00:48:38,279
Speaker 1: right up there with Beverly Hill Stop. I think they're

820
00:48:38,320 --> 00:48:40,400
Speaker 1: the two best. This is what Happens du gen X,

821
00:48:40,480 --> 00:48:43,240
Speaker 1: You know, things get a little fuzzy, Your judgment gets cloudy.

822
00:48:43,280 --> 00:48:46,760
Speaker 1: It happens, folks. A j gets paithful,