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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. I getting appreciate all of you

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Speaker 1: hanging out with us. I am Clay Travis, he is

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Speaker 1: Buck Sexton. Encourage all of you to go download the podcast.

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Speaker 1: Make sure you don't miss a minute of action there.

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Speaker 1: You'll be glad that you did. Tons of great guests

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Speaker 1: all throughout the week. As we roll through the final

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Speaker 1: day of the week. By the way, we've got a

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Speaker 1: lot of guests coming your way, including our friend Alex

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Speaker 1: Barnson in the final hour of today's program to give

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Speaker 1: you the latest on the COVID data. But we are

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Speaker 1: joined now by Ryan Gerdusky. He's the founder of the

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Speaker 1: seventeen seventy six Project pack and author of They're Not

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Speaker 1: Listening How the Elites created the National Populist Revolution. And Ryan,

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Speaker 1: we all owe you a debt of gratitude because you

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Speaker 1: are starting to actually put the pedal to the floor

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Speaker 1: here when it comes to holding many of these different

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Speaker 1: school boards accountable for what they are teaching our kids.

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Speaker 1: Thanks for joining us. Explain what you're working on in

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Speaker 1: the success you've already had. So I back in May

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Speaker 1: I started a superpack and the first federal superpack for

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Speaker 1: school board elections. And I know big dollar donors, No

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Speaker 1: billionaire helped me with it. It's just something I kind

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Speaker 1: of created on my own. I did some media for

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Speaker 1: it and we appreceived a fifteen thousand people donated, you know,

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Speaker 1: small dollar donations, and with that I was able to

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Speaker 1: help campaign on behalf of fifty state candidates in twenty

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Speaker 1: nine school districts and so far, as of right now,

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Speaker 1: we have a seventy five percent win rate. That's incredible. Ryan,

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Speaker 1: I just spoke last night. I good to talk to you,

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Speaker 1: my friend. I just spoke last night to a big

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Speaker 1: group out in Wisconsin, and all I mean to say

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Speaker 1: that the folks were fired up about what they feel

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Speaker 1: is a grassroots parents uprising against the apparatus of the

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Speaker 1: of the school system, the Democrat leftist domination and doctrination.

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Speaker 1: I mean, it's an understatement to say they're fired up

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Speaker 1: about it. How do we see this now spread? I

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Speaker 1: mean the big thing for us on the right is

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Speaker 1: how does Virginia become the template for winning in other places?

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Speaker 1: Because the CRT training, critical race theory training in Virginia,

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Speaker 1: it's it's not unique in fact, there's more of it

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Speaker 1: in other places too, So what have you seen? How

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Speaker 1: do we make this a movement and not a one off?

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Speaker 1: So I think that what people don't understand is that

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Speaker 1: critical race theory is being practice, not necessarily taught, a

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Speaker 1: practice in the way that they do the teaching in

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Speaker 1: all fifty states. Hannah Jones, the author of the sixteen

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Speaker 1: nineteen project, often boast that it's being her exact, her

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Speaker 1: exact program. The sixty nineteen project is being taught in

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Speaker 1: all fifty states and hundreds of classrooms, and that's that's

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Speaker 1: a program that says that the American Revolution happened because

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Speaker 1: the British want to abolish slavery and the American colonial state.

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Speaker 1: It's a total fabrication that never ever happened. Historians are debunked. Nonetheless,

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Speaker 1: it's being taught in schools. I think that I think

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Speaker 1: there's a lot of things to be done. They could

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Speaker 1: be done. You've seen a lot of governors across the

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Speaker 1: country signed bills or executive orders banning CRT. The problem

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Speaker 1: with that is that they do not have any repercussions

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Speaker 1: if the teachers continue to do those programs. So there's

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Speaker 1: a law that necessarily says you can't teach CRT, but

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Speaker 1: if you do, there's no punishment. I think what has

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Speaker 1: to happen is the school board level. It's it's where

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Speaker 1: this fight is why I decided to create this pack.

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Speaker 1: I think the curriculum must be altered. And for decades

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Speaker 1: you've had Republicans that they're in fight over colleges and

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Speaker 1: universities being too far left, or over school choice is

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Speaker 1: another big Republican talking point. But they kind of let

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Speaker 1: curriculum slaw and they let curriculum be controlled by the Democrats.

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Speaker 1: And I think that's why. That's how magnifying curriculum, I

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Speaker 1: think is the way to do it. And if you

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Speaker 1: go to the pack website seventeen seventy six Project packpac

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Speaker 1: dot com, you can send me if your school district

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Speaker 1: is promoting and practicing critical race theory, you can send

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Speaker 1: me examples of it. I think that I think the

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Speaker 1: problem is a lot of kids don't a lot of

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Speaker 1: people don't exactly they can't identify exactly what critical race

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Speaker 1: theory is, but they kind of know when they see it,

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Speaker 1: and they just needed more and more examples of it.

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Speaker 1: And we need to know which school districts are problematic

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Speaker 1: because it's not every school districts is problematic, but many

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Speaker 1: of them are. When you see this issue motivate, I

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Speaker 1: think to such a degree many people who came out

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Speaker 1: to vote in twenty twenty one. Do you foresee it

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Speaker 1: as also being a major issue in the twenty twenty

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Speaker 1: two elections. Is this energy in your mind only going

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Speaker 1: to grow surrounding what kids are being taught in school

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Speaker 1: and parental involvement in those lesson plans? Yeah, Because here's

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Speaker 1: the thing is why Democrats are losing on this issue

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Speaker 1: is because they're putting down parents who are concerned. Rather

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Speaker 1: than sitting there and addressing it or fighting over the

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Speaker 1: merits of why they think it should be taught. They're saying, no,

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Speaker 1: you idiot, this is not even being taught. You're being

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Speaker 1: lied to. And their kids are coming home, where their

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Speaker 1: grandchildren are coming holm and saying, you know, my teacher's

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Speaker 1: making me feel bad about being born white. That's not

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Speaker 1: something that they that. That is such hardest parents up there,

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Speaker 1: when they are openly criticized, and then when the Justice

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Speaker 1: Department calls them domestic terrorists, Democrats response this has been

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Speaker 1: so abysmal on every single issue. And it's not that

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Speaker 1: Republicans have been such a great job on champion this

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Speaker 1: issue or or thinking of an alternative to fighting against it.

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Speaker 1: But what Democrats have done is I mean, they've just

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Speaker 1: sat there and they've mocked parents. They told them that

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Speaker 1: their opinions are wrong. And it's not just what people

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Speaker 1: don't stand. It's a critical race theory. It's not just history.

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Speaker 1: It's such as the teaching of history and in doctrine.

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Speaker 1: And kids in the sixteen nineteen project are making them

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Speaker 1: do privileged walks, which is where white children have to

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Speaker 1: show how privilege they are by walking in front of

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Speaker 1: the rest of the room, or in the case in Atlanta, Georgia,

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Speaker 1: where kids were being literally separating classrooms by their race.

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Speaker 1: You have programs in like Los Angeles County where school

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Speaker 1: districts are received less funding if they have a majority

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Speaker 1: of their population white. In New York City, my hometown,

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Speaker 1: you've seen the mayor on his clothes in his last

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Speaker 1: few months in office guts gifted and talented programs because

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Speaker 1: there's not enough racial diversity in them. You're going to

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Speaker 1: see them go out and you've already seen them go

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Speaker 1: after the hard sciences, math and science because they're not

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Speaker 1: diverse enough. It's going it's not quote unquote equitable enough.

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Speaker 1: And I think that this charges people of normal, rational

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Speaker 1: people who are not drinking the kool aid on woke

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Speaker 1: progressivism sit there and recoil from this, including many Democrats.

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Speaker 1: And I think that's why you've seen so many or sorry,

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Speaker 1: not Democrats, but left leaning independence and that's why so

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Speaker 1: many of them sat there either to go and vote

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Speaker 1: or to vote Republicans. Some for the first time ever,

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Speaker 1: we're speaking to Ryan Grdusky. He is the founder of

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Speaker 1: the seventeen seventy six Project Pack. Ryan, is there you

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Speaker 1: think an opening here as well? I spoke last night

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Speaker 1: to someone you may know as well, of the vek

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Speaker 1: Ramaswami who wrote Woke, Inc. And we were talking about

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Speaker 1: how this parents uprising against critical race theory in schools

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Speaker 1: and as you rightly point out, a lot of snide

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Speaker 1: sneering from the Democrat apparatus did not work out well

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Speaker 1: for them in this last election. But there's also the

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Speaker 1: wokeness and really a form of CRT that's being taught

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Speaker 1: in or really enforced in corporate America too. Do you

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Speaker 1: think that there's a place to have people actually start

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Speaker 1: to make gains looking at you know, I don't know

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Speaker 1: if you saw this. Microsoft off the play for everybody.

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Speaker 1: You know, they start off a Microsoft meeting now saying

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Speaker 1: we know we're on indigenous land and we're basically are

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Speaker 1: apologizing for that. I mean, this is at Microsoft, you know.

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Speaker 1: I think that the same way that people have seen

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Speaker 1: the schools have lost their minds when it comes to kids.

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Speaker 1: Corporate America in large part, I mean Clay talks about

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Speaker 1: in the sports world a lot, it's broader, it's all

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Speaker 1: over the place now in corporate America too. Is there

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Speaker 1: a pushback we can get going there that will have

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Speaker 1: political effect? Well? Yeah, this is where Republicans are just

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Speaker 1: missing the ball completely because too many of them are

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Speaker 1: still adopting libertarian talking points on business and letting business

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Speaker 1: do whatever it wants to do. What President Trump did

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Speaker 1: so successfully in his last year in office was he's

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Speaker 1: that there, and he denies federal contracts the companies that

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Speaker 1: practice critical race theory. And you saw immediately speaking speakers

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Speaker 1: who promote critical race theory being dropped, their contracts being

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Speaker 1: dropped from Corporate America because they wanted federal contracts. All

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Speaker 1: it would take is a Republican governor, especially in big states,

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Speaker 1: in states like now Virginia or Florida or Texas, sitting

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Speaker 1: there and telling state or Ohio telling states selling businesses.

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Speaker 1: We will not have any federal We will not have

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Speaker 1: any government contracts with you. If you promote CRT, if

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Speaker 1: you bring CRT speakers to your thing, if you use

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Speaker 1: you know, race based hiring practices or race based you

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Speaker 1: know whatever, we are not going to give you a

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Speaker 1: state contracts. Those state contracts are worth millions, if not

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Speaker 1: billions of dollars that always go up. It's I mean,

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Speaker 1: it's the easiest money you could possibly get if you

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Speaker 1: can get a state correct. Every corporation desires them, and

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Speaker 1: to deny them would hit them where it really hurts.

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Speaker 1: So I think that is where politically they should move

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Speaker 1: if they can, just Republicans can just open their eyes

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Speaker 1: to big businesses not your friend, which the Republican voters

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Speaker 1: have well worn up soon you know, we'll welcome up

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Speaker 1: to but Republican politicians are still lacking behind on that issue. Ryan,

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Speaker 1: good stuff. We appreciate you. It's Ryan Gurdusky. We encourage

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Speaker 1: you to check out the founder of the seventeen seventy

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Speaker 1: six Project Pack and author of They're Not Listening How

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Speaker 1: the elites created the National Populist Revolution. Thank you, Ryan,

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Speaker 1: And if we've learned anything since twenty twenties, there's nothing

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Speaker 1: Black wants you to know your systems. Your immune system's

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Speaker 1: fifty five. That's Texas Superfood dot Com slash Buck or

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Speaker 1: call eight five five Texas fifty five. Welcome to Second

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Speaker 1: Hour with the Clay Travis and Buck Sex and show

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Speaker 1: everybody thank you for being here. It is open line Friday,

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Speaker 1: of course, so that means the lines are open. Funny

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Speaker 1: other works. Eight hundred two eight two two eight two

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Speaker 1: eight hundre eighth two is the phone number we said

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Speaker 1: we would talk to you about woke Microsoft, which we

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Speaker 1: will in a moment. You gotta hear it. It's trust me,

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Speaker 1: it's worth it. You're gonna say what and you're used

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Speaker 1: to probably hear It's a pretty crazy start from in

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Speaker 1: corporate America. But this is all part of the discussion

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Speaker 1: we're having here about where does the left go now?

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Speaker 1: I mean, you have the Democrat Party, but the left

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Speaker 1: more broadly, what do they do in response to this

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Speaker 1: and if you want to get a sense of what

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Speaker 1: the woke left believes in this moment after their loss

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Speaker 1: in Virginia, Democrats lost in Virginia. Terry mcculiffe, a creature

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Speaker 1: of the DNC, a part of the DNC machine losing

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Speaker 1: to a political newcomer. How'd this happened? What should they

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Speaker 1: do about it? Well, AOC, for example, is out there

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Speaker 1: saying the real problem is they weren't progressive enough on

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Speaker 1: the election front. I actually think we have good news

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Speaker 1: as well. I know that Virginia was a huge bummer,

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Speaker 1: and honestly, if anything, I think that there's show the

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Speaker 1: limits of trying to run a fully one, supermoderated campaign

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Speaker 1: that does not excite, speak to, or energize a progressive base.

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Speaker 1: And frankly, we weren't even really invited to contribute on

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Speaker 1: that race. Okay, so that the left wasn't fired up enough.

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Speaker 1: This is what she's saying. It was too moderated his word.

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Speaker 1: I think she meant moderate. Too much of a moderate campaign.

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Speaker 1: She says that was the problem. Meanwhile, people that have

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Speaker 1: been in Democrat politics a long time are saying the

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Speaker 1: party has lost its mind. I want them to listen

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Speaker 1: to AOC. I want them Clay to take the AOC approach.

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Speaker 1: And what does that mean? I mean, how crazy can

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Speaker 1: things really get? Microsoft is one of the biggest software

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Speaker 1: companies in the world. Obviously made Bill Gates boo made

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Speaker 1: Bill Gates, an ultra wealthy billionaire many many, many times over.

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Speaker 1: Here's the kind of stuff that you hear at a

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Speaker 1: Microsoft event in Seattle to start off their big online

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Speaker 1: forum play six, Welcome to Microsoft Ignite. First, we want

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Speaker 1: to acknowledge that the land where the Microsoft campus is

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Speaker 1: situated was traditionally occupied by this Samamish, the Doowamish, the

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Speaker 1: snow Qualmy, the Suquamish, the Muckleshoote, the snow Homish, the

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Speaker 1: two Laylup, and other Coast Salish peoples since time immemorial,

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Speaker 1: a people that are still here continuing to honor and

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Speaker 1: bring to light their ancient heritage. Repair memorial. First of all,

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Speaker 1: because Buck, there were no humans living in North America

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Speaker 1: until what like fifty thousand years ago. I mean, if

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Speaker 1: you actually study the expected I mean, I know they're

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Speaker 1: constantly evolving when people actually arrived in North America, but

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Speaker 1: time immemorial is one hundred percent not true. But it's

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Speaker 1: so weird and awkward that feels like a satirical opening

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Speaker 1: to a super woke like comedy special. Where do you Go?

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Speaker 1: I mean, who do you who? Among the muckle shoot

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Speaker 1: or the snow I was writing them down this qualmi.

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Speaker 1: Is this like a name and an area, so I

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Speaker 1: at least know how to pronounce that. Okay, there we go.

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Speaker 1: I mean, I know Chinook from that region. There's just

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Speaker 1: Chinook tribe because of Chinook helicopters, which I've been written

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Speaker 1: in back in the day. I know those. I never

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Speaker 1: heard of the muckle shoot before. That's neither here nor there.

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Speaker 1: Who do we go to beg? Do we beg forgiveness?

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Speaker 1: What do we do? What are we supposed to make

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Speaker 1: of all this? But Clay it actually now there. I

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Speaker 1: want to play that part first, because that's just clear

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Speaker 1: woke insanity. And by the way, this is funny too, Buck,

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Speaker 1: because you know they're even in Microsoft, there are a

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Speaker 1: lot of people who think like us, and we're like, hey,

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Speaker 1: I don't know that we should begin our presentation by

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Speaker 1: acknowledging that indigenous people used to live on these lands.

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Speaker 1: But if somebody raised their hand and said that, they

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Speaker 1: would be a phrase of being targeted and potentially losing

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Speaker 1: their jobs because of cultural insensitivity. There's a huge percentage

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Speaker 1: I guarantee you of Microsoft employees secretly listening to shows

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Speaker 1: like ours that know in that board room, in that meeting,

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Speaker 1: does anybody have any any qualms or disagreements with us

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Speaker 1: beginning a meeting like a beginning that big event like this,

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Speaker 1: tons of people would have said yes, but they were

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Speaker 1: terrified to raise their hands and say yes. I think

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Speaker 1: that's absolutely true. I also think that if I started

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Speaker 1: this show, I mean, I can't speak to the native

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Speaker 1: tribes of Tennessee. You might know better than indigenous tribes

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Speaker 1: of Tennessee if I started this show. They're saying, I

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Speaker 1: just want to apologize everyone listening to Clay and Buck

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Speaker 1: show for sitting here in this radio studio on you

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Speaker 1: know Iroquois and Huron and you know Mohican land. I

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Speaker 1: feel very badly about it. And do I do that

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Speaker 1: every day? How long? What is enough? When have I

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Speaker 1: When can I be cleansed of my sins? When is

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Speaker 1: your white guilt e spunse Yes? Well, when when have

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Speaker 1: you done enough? That's what I want to know. How

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Speaker 1: does this go away? Ever? But Clay, this part of it,

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Speaker 1: there's a little bit of a dispute from the audio.

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Speaker 1: People are saying that this there's a reason for this

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Speaker 1: for some of it. At least it keeps going though.

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Speaker 1: In the Wokeness, my name is Alison Wines. I'm a

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Speaker 1: senior program manager in our Developer Tools division. I'm an

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Speaker 1: Asian and white female with dark brown hair wearing a

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Speaker 1: red sleeveless top. And I'm set Wires program manager of

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Speaker 1: the AI Platform group. I'm a tall, Hispanic male wearing

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Speaker 1: a blue shirt khaki pants. Today we kick off two

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Speaker 1: days of learning. Now, okay, well, like now, I've been

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Speaker 1: told that this is because they want people who are

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Speaker 1: visually impaired. I can't see to feel more included in that. Okay,

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Speaker 1: I mean maybe, but there's also others that were setting

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Speaker 1: so that that seemed I've never heard that before. But

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Speaker 1: they also were announcing their pronouns. Of course, for some reason,

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Speaker 1: it wasn't that audio this ad. My pronouns are he

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Speaker 1: ham and she her and all this stuff. And I

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Speaker 1: just want to know, you know, how much of this

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Speaker 1: does this have to be the preamble that we all

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Speaker 1: go through all the time. If not, why not? What

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Speaker 1: purpose does this serve if not to drown oneself in

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Speaker 1: white guilt and then try to expunge it through virtue

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Speaker 1: signaling for one's own benefit. Actually, Buck, this is one

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Speaker 1: of the all time arguments to me that these companies

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Speaker 1: are basically monopolies because if you have all of this time,

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Speaker 1: you know, inside of Google, inside of Apple, to be

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Speaker 1: sitting around having debates about things like this which don't

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Speaker 1: impact your business at all, then you are so powerfully

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Speaker 1: economically as a company that you can overwhelm everyone else

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Speaker 1: and still have time to have these debates and discussions

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Speaker 1: and absurd virtue signaling woke directives and it doesn't impact

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Speaker 1: your bottom line at all. Right, I mean, that's one

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Speaker 1: of the intense competition would in theory, a company sessed

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Speaker 1: with all this external signaling which doesn't go to the

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Speaker 1: essence of what the company he does, would lose in

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Speaker 1: a truly competitive marketplace to another company that would say, hey,

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Speaker 1: we're just gonna kick ass. And it's it's really kind

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Speaker 1: of absurdly ridiculous that we've ended up in this place.

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Speaker 1: And I think, I think what you're starting to see

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Speaker 1: when The New York Times is saying Democrats are basically

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Speaker 1: too left wing. When you got you started off earlier

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Speaker 1: talking about all the different people Al Sharpton, did you

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Speaker 1: see this. Al Sharpton came out and said, Hey, I

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Speaker 1: think we've gone to left wing in the Democratic Party.

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Speaker 1: When Al Sharpton is like, hey, I think we've lost

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Speaker 1: our sense of reality your way out there in space,

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Speaker 1: cadet Land Clay. They're talking about trying to cancel or

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Speaker 1: at least, you know, repudiate some of the work of

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Speaker 1: the most successful black comedian of our generation, who is

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Speaker 1: a liberal who does not like conservative ideas overwhelmingly across

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Speaker 1: the board, doesn't really like conservatives quite honestly, yes, who

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Speaker 1: says that white whiteness is what he's actually attacking with

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Speaker 1: all of his work, not good enough because he upset

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Speaker 1: the trans community. So yeah, they're starting to see that intersectionality,

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Speaker 1: which is their belief system of everything is interlocking levels

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Speaker 1: of oppression, and everyone's on a scale. There's a hierarchy's pyramid,

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Speaker 1: that's right, And so you're constantly going to be in

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Speaker 1: conflict not only with the so called top of the

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Speaker 1: pyramid or in a white supremacy in the thinking, in

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Speaker 1: the construct that they have, but also with each other.

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Speaker 1: You're going to see that other groups, who's truly victimized,

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Speaker 1: who gets to actually determine what is acceptable discourse about

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Speaker 1: about different things. I mean, this is this is another

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Speaker 1: just moment of this Microsoft thing where they do the

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Speaker 1: pronouns and also announce their ethnicities. Hello everyone, I'm a

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Speaker 1: Kelly Godilla. I'm a Caucasian woman with long blonde hair,

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Speaker 1: and I go by she her. I'm a product marketing

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Speaker 1: lead here at Microsoft and co host of the podcast

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Speaker 1: Security Unlocked with this guy. Yes, that would be me.

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Speaker 1: Hello everyone, I'm Nick Fillingham. I'm a Caucasian man with

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Speaker 1: glasses and a bead I go buy him, and I'm

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Speaker 1: a security evangelist here at Microsoft. No hold on. So

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Speaker 1: the explanation that I saw online for this I'm not

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Speaker 1: even sure about is they visually impaired thing. I wanted

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Speaker 1: to play that because they do the whole he hymn

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Speaker 1: she her as if yes, believe it or not play

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Speaker 1: we knew. We knew from hearing, we knew from their voices.

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Speaker 1: I know this is a crazy idea. You could actually

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Speaker 1: tell the difference between male and female voice ninety nine

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Speaker 1: times out of one hundred. I know this is a

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Speaker 1: shock that lives. But even with the visually impaired thing,

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Speaker 1: why would they feel discluded? I'm not I'm not sure

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Speaker 1: that really. It seems strange to me. I've never heard

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Speaker 1: that before. Well, this also just further ties in with

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Speaker 1: your identity has become a modern form of royalty. Remember

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Speaker 1: back in the day, and I think sometimes maybe people

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Speaker 1: still introduce themselves, but somebody would come out and say,

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Speaker 1: as the you know, third Earl Rockingham, fourth Viscount of

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Speaker 1: the Third Kingdom. I believe, And what gave legitimacy to

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Speaker 1: your belief system was the title that you preceded the

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Speaker 1: I believe with pay its should On television, how often

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Speaker 1: you hear someone say, as a gay Hispanic trans man,

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Speaker 1: I believe? Well why should I care? I mean, in

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Speaker 1: terms of your opinion, I care about what you believe,

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Speaker 1: but why should I care about the preface of your identity.

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Speaker 1: Your identity should not give legitimacy to the arguments that

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Speaker 1: you make. We have gone back in time in the

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Speaker 1: same way that aristocracy used to use their bloodline as

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Speaker 1: a legitimate basis for their opinions, which is what we

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Speaker 1: revolted against in the United States. People now use their

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Speaker 1: identities which they were given at birth. It's not like

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Speaker 1: you have ended up choosing to be you know, black

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Speaker 1: or white or Asian or Hispanic. You're born that way.

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Speaker 1: I feel that part of the pushback and the backlash

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Speaker 1: against critical race theory, for example, is that people realize

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Speaker 1: from reality from what they're experiencing their day to day

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Speaker 1: lives that if there is in fact, if we're going

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Speaker 1: to talk about systematic oppression, if we're going to talk

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Speaker 1: about the difference that actually will come into play when

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Speaker 1: you're applying for a job, when you're applying to school,

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Speaker 1: the truth is, this is by the numbers, this is proven,

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Speaker 1: this is going up to the Supreme Court. You are

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Speaker 1: at a disadvantage applying for a job with the same credentials.

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Speaker 1: And this is where SAT scores and other things come

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Speaker 1: into account. To college, a disadvantage as a white male,

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Speaker 1: a disadvantage as an Asian American male compared to other groups.

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Speaker 1: And yet we're constantly told that the only systematic oppression

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Speaker 1: that exists is in favor of the very people for

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Speaker 1: whom I can actually point to discrimination in hiring and

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Speaker 1: discrimination in college admissions against white and Asian males. Yes.

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Speaker 1: On the other side, they look indisputably true that that occurs. Yes,

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Speaker 1: that is a fact, that is a fact, that is

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Speaker 1: a reality. Yes. On the other side of it, they'll say, well,

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Speaker 1: but there's disparate out comes in different processes. There's not

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Speaker 1: enough representation to that. I say, well, do we want quotas,

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Speaker 1: because that they're quotas, that means we're basically on quotas

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Speaker 1: are illegal. And by the way, the argument here, which

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Speaker 1: came out of the Linda Johnson Great Society, was that

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Speaker 1: we needed to have forms of affirmative action in order

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Speaker 1: to justify redress for slavery and unequal treatment in the

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Speaker 1: history of America. Then the question becomes if you buy

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Speaker 1: into that premise, which is effectively state sanctioned racism. If

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Speaker 1: you buy into that premise, the question becomes how long?

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Speaker 1: Because right now we are now sixty years roughly into

428
00:23:40,280 --> 00:23:43,280
Speaker 1: an affirmative action environment. And what has happened, as you

429
00:23:43,400 --> 00:23:45,560
Speaker 1: rightly point out, buck and is why it's starting to

430
00:23:45,600 --> 00:23:50,560
Speaker 1: blow up, is systems that were designed to initially just

431
00:23:50,720 --> 00:23:55,480
Speaker 1: punish white people are now bringing in large, large numbers

432
00:23:55,480 --> 00:23:58,080
Speaker 1: of Asian people who are saying, wait a minute, we're

433
00:23:58,119 --> 00:24:03,000
Speaker 1: a minority group who is being discriminated against under affirmative

434
00:24:03,040 --> 00:24:07,320
Speaker 1: action policies designed to create more inclusion. And there's also

435
00:24:07,720 --> 00:24:10,840
Speaker 1: a sense of resentment against the Asian American minority in

436
00:24:10,880 --> 00:24:13,960
Speaker 1: this country from the left for doing so. Well, because

437
00:24:14,000 --> 00:24:17,000
Speaker 1: that undermines your earlier point. The whole Oh, the system

438
00:24:17,080 --> 00:24:20,000
Speaker 1: is so racist mantra. Really, that's impossible for people to

439
00:24:20,000 --> 00:24:23,119
Speaker 1: succeed except Asian people are kicking everybody's ass. The end

440
00:24:23,119 --> 00:24:25,120
Speaker 1: of the workweek is here, and the question I'd pose

441
00:24:25,200 --> 00:24:27,560
Speaker 1: to you is this, how many days this week did

442
00:24:27,560 --> 00:24:30,960
Speaker 1: you have really agonizing pain? I mean, it's an easy question.

443
00:24:31,400 --> 00:24:34,080
Speaker 1: Up until now, finding the solution has been difficult. But

444
00:24:34,160 --> 00:24:37,320
Speaker 1: we have one, and it's called relief Factor. Created by

445
00:24:37,359 --> 00:24:40,919
Speaker 1: doctors and perfected over fifteen years of scientific research, relief

446
00:24:40,960 --> 00:24:44,240
Speaker 1: Factor is a one hundred percent drug free product that

447
00:24:44,400 --> 00:24:47,760
Speaker 1: was made for you. Try it please. Nearly seventy percent

448
00:24:47,800 --> 00:24:50,160
Speaker 1: of those who try it over an initial three week

449
00:24:50,240 --> 00:24:53,480
Speaker 1: period go on to order more. Our friends at relief

450
00:24:53,520 --> 00:24:56,600
Speaker 1: Factor have developed a three week quick start pack. You

451
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Speaker 1: take relief Factor three times a day breakfast, launch and

452
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Speaker 1: dinner for three weeks. You'll know if it works for

453
00:25:01,000 --> 00:25:03,199
Speaker 1: you or not. Clay, my dad loves it. Helps with

454
00:25:03,200 --> 00:25:05,080
Speaker 1: his knees is back. He's out on the golf course

455
00:25:05,200 --> 00:25:09,000
Speaker 1: swinging away. My wife works out big time hard all

456
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Speaker 1: the time. Helps with her recovery as well. It's why

457
00:25:11,960 --> 00:25:14,679
Speaker 1: you should join Buck's Dad and my wife and the

458
00:25:14,720 --> 00:25:17,080
Speaker 1: more than half a million people that have ordered the

459
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Speaker 1: three week quickstart for only nineteen ninety five. Go to

460
00:25:20,400 --> 00:25:23,639
Speaker 1: Relief Factor dot com or call eight hundred four relief

461
00:25:23,680 --> 00:25:26,520
Speaker 1: to get the nineteen ninety five three week quick Start

462
00:25:26,680 --> 00:25:29,960
Speaker 1: developed four. You go to Relief Factor dot com or

463
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Speaker 1: call eight hundred the number four Relief Relief Factor. Feel

464
00:25:34,160 --> 00:25:41,760
Speaker 1: the difference, Lolcome back, everybody does the Clay Travis and

465
00:25:41,880 --> 00:25:45,400
Speaker 1: Buck Sexton Show. We are going to be joined at

466
00:25:45,400 --> 00:25:48,800
Speaker 1: two o'clock. My friend Alex Parenson bladis with COVID. Where

467
00:25:48,800 --> 00:25:51,480
Speaker 1: shall Lenskia? The CDC said something, I mean, Clay will

468
00:25:51,520 --> 00:25:53,080
Speaker 1: tell you, do you He would have had to bleep

469
00:25:53,119 --> 00:25:55,240
Speaker 1: me if I were on air in real time and

470
00:25:55,400 --> 00:25:57,480
Speaker 1: Clay sent that clip to me about masks and how

471
00:25:57,480 --> 00:25:59,640
Speaker 1: amazing they are just in time for the winter season.

472
00:25:59,680 --> 00:26:01,720
Speaker 1: Of course, we'll explain what's going on there. But first

473
00:26:01,800 --> 00:26:05,800
Speaker 1: we are joined by Peter Navarro. He's a former assistant

474
00:26:05,800 --> 00:26:09,040
Speaker 1: to President Donald Trump. He is the author of In

475
00:26:09,200 --> 00:26:12,560
Speaker 1: Trump Time, a journal of America's plague year out now.

476
00:26:12,800 --> 00:26:16,679
Speaker 1: Navarro served as Director of Trade and Manufacturing Policy and

477
00:26:16,720 --> 00:26:20,840
Speaker 1: the National Defense Production Act Policy Coordinator inside the Trump

478
00:26:21,160 --> 00:26:24,840
Speaker 1: White House, Peter, thanks for being with us, claim Buck

479
00:26:24,920 --> 00:26:28,080
Speaker 1: couldn't be more delighted. The in Trump time thing, by

480
00:26:28,119 --> 00:26:31,800
Speaker 1: the way, is an expression I'd coined early in the administration.

481
00:26:31,840 --> 00:26:34,119
Speaker 1: Have you sitting around with these bureaucrats and they'd be

482
00:26:34,200 --> 00:26:36,040
Speaker 1: Hammond and high and I go, no, no, no no, no,

483
00:26:36,520 --> 00:26:38,880
Speaker 1: We're getting this done in Trump time, which is mean

484
00:26:39,160 --> 00:26:42,080
Speaker 1: as soon as possible. And that was that was kind

485
00:26:42,080 --> 00:26:46,360
Speaker 1: of the the business sense and ethic that Donald John

486
00:26:46,400 --> 00:26:49,680
Speaker 1: Trump brought to Washington, and we did get a few

487
00:26:49,720 --> 00:26:51,560
Speaker 1: things done. We want to get back to that in

488
00:26:51,640 --> 00:26:53,600
Speaker 1: a second. I did, though, Peter, if I could want

489
00:26:53,600 --> 00:26:56,359
Speaker 1: to get your sense to somebody who was Director of

490
00:26:56,400 --> 00:26:59,480
Speaker 1: Trade and Manufacturing Policy in the previous White House to

491
00:26:59,600 --> 00:27:02,760
Speaker 1: weigh in on what the heck is going on right now?

492
00:27:02,840 --> 00:27:05,520
Speaker 1: We've got all these supply chain issues. People are seeing

493
00:27:05,520 --> 00:27:09,159
Speaker 1: empty shelves, are seeing prices go way up. How is

494
00:27:09,200 --> 00:27:12,000
Speaker 1: this happening? And what is the what is the bidoministration

495
00:27:12,040 --> 00:27:15,040
Speaker 1: responsible for? What are they not well? What you're not

496
00:27:15,119 --> 00:27:18,520
Speaker 1: seeing is anything on Capitol Hill and those frivolous spending

497
00:27:18,560 --> 00:27:21,679
Speaker 1: bills that would fix it. What I focused on with

498
00:27:21,720 --> 00:27:26,159
Speaker 1: the Boss was by American hire, American bringing our factories

499
00:27:26,160 --> 00:27:29,080
Speaker 1: back home and the supply chains would follow that gives

500
00:27:29,080 --> 00:27:31,959
Speaker 1: you resilient supply chains. What we have now is just

501
00:27:32,000 --> 00:27:37,879
Speaker 1: the opposite, fragile and broken supply chains. And it's basically

502
00:27:38,280 --> 00:27:42,040
Speaker 1: attributal in many ways to the pandemic shock that you

503
00:27:42,080 --> 00:27:45,640
Speaker 1: could see this stuff coming. And what I'm worried about

504
00:27:45,920 --> 00:27:49,679
Speaker 1: is not just the inflation that's coming, but also the

505
00:27:49,760 --> 00:27:52,320
Speaker 1: stag part of that equation. Because you know, if you've

506
00:27:52,359 --> 00:27:54,520
Speaker 1: got a computer chip that you've got to get from

507
00:27:54,640 --> 00:27:58,080
Speaker 1: China over to Detroit and it's held up and you

508
00:27:58,080 --> 00:28:02,960
Speaker 1: start holding up production, worker productivity goes down, right. That

509
00:28:03,040 --> 00:28:06,960
Speaker 1: drives up effective wage inflation in a bad way because

510
00:28:07,000 --> 00:28:10,480
Speaker 1: workers aren't making anymore. And in the meantime, the economy

511
00:28:10,520 --> 00:28:12,720
Speaker 1: slows down because you can't get the cars off the

512
00:28:12,760 --> 00:28:15,399
Speaker 1: assembly line. What we need to do, and what a

513
00:28:15,480 --> 00:28:21,680
Speaker 1: Biden regime is incapable of understanding, is secure our supply chains. Here.

514
00:28:21,720 --> 00:28:24,560
Speaker 1: Focus on it and the idea that the Department of

515
00:28:24,600 --> 00:28:29,720
Speaker 1: Transportation secretary would be sitting at home leaning in a

516
00:28:29,720 --> 00:28:33,200
Speaker 1: recliner for like two months, Well, the worst supply chain

517
00:28:33,320 --> 00:28:38,200
Speaker 1: crisis emerged ever, is just a bombing them. So a

518
00:28:38,200 --> 00:28:40,520
Speaker 1: lot of this is leadership when I was when I

519
00:28:40,560 --> 00:28:42,720
Speaker 1: was in the White House and the pandemic head, I

520
00:28:43,080 --> 00:28:47,520
Speaker 1: went from like twenty four for twenty four seven to

521
00:28:47,760 --> 00:28:50,200
Speaker 1: like forty eight. I mean it was just crazy, Like

522
00:28:50,920 --> 00:28:53,400
Speaker 1: you you stay on the ship, you get your job done.

523
00:28:53,400 --> 00:28:57,120
Speaker 1: So they need to focus on the problem rather than

524
00:28:57,160 --> 00:29:00,600
Speaker 1: to blame everybody else for it. I think that's such

525
00:29:00,600 --> 00:29:02,840
Speaker 1: a good point. If Peter Navar with us right now,

526
00:29:03,520 --> 00:29:06,560
Speaker 1: If you would, or any other person working for Donald

527
00:29:06,560 --> 00:29:09,360
Speaker 1: Trump had walked in and said, Hey, my wife just

528
00:29:09,480 --> 00:29:12,160
Speaker 1: had a baby, I'm gonna be out for the next

529
00:29:12,240 --> 00:29:15,200
Speaker 1: two months, staying home on paternity leave. What do you

530
00:29:15,200 --> 00:29:19,000
Speaker 1: think his answer would have been, as Box said, yeah,

531
00:29:19,000 --> 00:29:21,600
Speaker 1: I have a good time and we'll see you later.

532
00:29:21,720 --> 00:29:24,360
Speaker 1: And there would have been somebody else in that job

533
00:29:25,160 --> 00:29:28,280
Speaker 1: in Trump time, Which is to say quickly now that

534
00:29:28,360 --> 00:29:31,160
Speaker 1: look that I never was a booted judge fan. I

535
00:29:31,160 --> 00:29:33,720
Speaker 1: always thought he was kind of a goofy and ethereal.

536
00:29:33,800 --> 00:29:38,120
Speaker 1: But to have such poor judgment, you know, the first

537
00:29:38,120 --> 00:29:43,560
Speaker 1: three years of the administration, I was the lead on trade,

538
00:29:43,640 --> 00:29:46,600
Speaker 1: manufacturing and things like China, terrorists and things like that,

539
00:29:46,840 --> 00:29:49,960
Speaker 1: stealing a lunar, terrorists, I got, I get in the

540
00:29:50,000 --> 00:29:53,960
Speaker 1: pandemic hit. I had to change until like what effectively

541
00:29:54,120 --> 00:29:58,440
Speaker 1: was the quartermaster of in the war against the pandemic.

542
00:29:58,480 --> 00:30:01,400
Speaker 1: It wasn't my skill set, but you know, that was

543
00:30:01,440 --> 00:30:04,080
Speaker 1: the mission. That's what the Entrump time book is about

544
00:30:04,120 --> 00:30:06,480
Speaker 1: how we grapple with that. But it was all hands

545
00:30:06,520 --> 00:30:10,160
Speaker 1: on deck. And this I'm telling you guys, this supply

546
00:30:10,280 --> 00:30:13,440
Speaker 1: chain crisis and this labor market we're facing now. I'm

547
00:30:13,440 --> 00:30:16,560
Speaker 1: a macro economist. I've never seen anything like this in

548
00:30:16,560 --> 00:30:18,520
Speaker 1: my lifetime, and I got a few clicks on me.

549
00:30:18,920 --> 00:30:24,680
Speaker 1: And unless we commit to bringing or supply chains home.

550
00:30:25,000 --> 00:30:28,520
Speaker 1: The other thing, you know, the universal vaccination policy. I mean, look,

551
00:30:28,920 --> 00:30:31,840
Speaker 1: I don't I think it's I think it's insane. I'm

552
00:30:31,880 --> 00:30:33,480
Speaker 1: not in any vaccines. I was one of the guys

553
00:30:33,520 --> 00:30:37,640
Speaker 1: who helped create the vaccine. But even if you support

554
00:30:37,720 --> 00:30:41,240
Speaker 1: that universal vaccs policy, you have to acknowledge the labor

555
00:30:41,280 --> 00:30:44,600
Speaker 1: market and economic consequences. You know, when you're when a

556
00:30:44,680 --> 00:30:50,680
Speaker 1: fraction with a significant fraction of your longshoreman, food processors, truckers,

557
00:30:51,480 --> 00:30:55,840
Speaker 1: not to mention, police, fire and navy seals are getting

558
00:30:55,920 --> 00:30:59,600
Speaker 1: fired or laid off because they don't want to abide

559
00:30:59,600 --> 00:31:03,960
Speaker 1: by that at a time when you're already facing ten

560
00:31:04,040 --> 00:31:08,040
Speaker 1: million job openings that we don't have and a slowing

561
00:31:08,080 --> 00:31:13,160
Speaker 1: economy and sore inflation. You don't you don't pursue that

562
00:31:13,240 --> 00:31:16,200
Speaker 1: kind of universal vacts policy. And one of the key

563
00:31:16,360 --> 00:31:19,560
Speaker 1: villains in the in Trump Time Book is the god

564
00:31:19,600 --> 00:31:24,720
Speaker 1: of lockdowns and mandates. That's that's Tony Fauci. And I'm

565
00:31:24,760 --> 00:31:27,440
Speaker 1: just I don't know about you guys, but I faced

566
00:31:27,520 --> 00:31:29,760
Speaker 1: him head on, and I'm so sick of having to

567
00:31:29,800 --> 00:31:33,000
Speaker 1: listen to that little twit when in fact he's responsible

568
00:31:33,040 --> 00:31:35,320
Speaker 1: for the pandemic. I prove that in the in Trump

569
00:31:35,360 --> 00:31:38,400
Speaker 1: Time Book. So everything's going wrong. We're going one of

570
00:31:38,400 --> 00:31:41,440
Speaker 1: the best president in modern history to the absolute worst.

571
00:31:41,640 --> 00:31:45,640
Speaker 1: These people are clueless and they don't understand anything about

572
00:31:45,680 --> 00:31:49,000
Speaker 1: how to solve these problems. It's in many ways it's frightening. Peter.

573
00:31:49,040 --> 00:31:50,800
Speaker 1: I was in an event last neither over twelve hundred

574
00:31:50,840 --> 00:31:53,680
Speaker 1: people there. You know what, They started chanting fire Faucci.

575
00:31:53,800 --> 00:31:55,920
Speaker 1: So yeah, trust me, a lot of people recognize it.

576
00:31:56,080 --> 00:31:58,680
Speaker 1: I loved every second of it. We're speaking to Peter Navarro,

577
00:31:58,800 --> 00:32:01,440
Speaker 1: former assistant to President. Hold on second, Peter, I gotta

578
00:32:01,440 --> 00:32:04,160
Speaker 1: give the plug for your book one second. Former assistant

579
00:32:04,160 --> 00:32:06,800
Speaker 1: to President Donald Trump, an author of In Trump Time,

580
00:32:06,880 --> 00:32:09,200
Speaker 1: a journal of America's plague year. Now, Peter, you want

581
00:32:09,200 --> 00:32:11,800
Speaker 1: to jump in and go ahead, No, No, exactly where

582
00:32:11,960 --> 00:32:14,840
Speaker 1: they were actually started from the fire Fauci. Yeah, we're

583
00:32:14,880 --> 00:32:16,880
Speaker 1: yelling fire Fauci when I was giving a speech. Yeah.

584
00:32:16,920 --> 00:32:20,239
Speaker 1: People realize that he is an evil, totalitarian smurf at

585
00:32:20,320 --> 00:32:22,160
Speaker 1: least that's what I call him, and that he has

586
00:32:22,160 --> 00:32:24,840
Speaker 1: done tremendous damage to the economy, and that he is

587
00:32:24,920 --> 00:32:27,719
Speaker 1: not honest with people, that he never says even the

588
00:32:27,720 --> 00:32:32,360
Speaker 1: craziest restriction goes too far, and there's there's enormous psychological

589
00:32:32,400 --> 00:32:34,680
Speaker 1: and economic impact that I think people are still just

590
00:32:34,760 --> 00:32:39,360
Speaker 1: figuring out what it is. Well, the Interrumptime book should

591
00:32:39,440 --> 00:32:42,600
Speaker 1: deliver the final moral blow to this guy and put

592
00:32:42,640 --> 00:32:46,720
Speaker 1: him in jail, because in the book I described how

593
00:32:46,800 --> 00:32:51,760
Speaker 1: as early as January twenty twenty, Fouci knew that that

594
00:32:52,040 --> 00:32:56,040
Speaker 1: virus came from that Wuhan bioweapons lab, and that he

595
00:32:56,560 --> 00:32:59,320
Speaker 1: was likely responsible because it was he who not only

596
00:32:59,400 --> 00:33:03,560
Speaker 1: funded that lab but authorized those the gain of function

597
00:33:03,680 --> 00:33:06,920
Speaker 1: research experiments that ran. Paul talks about where you turned

598
00:33:07,080 --> 00:33:10,360
Speaker 1: like a harmless bat virus into a human killer, and

599
00:33:10,440 --> 00:33:12,200
Speaker 1: I sat, You know, I was the only guy, really,

600
00:33:12,200 --> 00:33:13,840
Speaker 1: if you think about it, I remember the history. I

601
00:33:13,880 --> 00:33:15,880
Speaker 1: was the only guy in administration willing to take him

602
00:33:15,880 --> 00:33:18,760
Speaker 1: on publicly. Almost got fired for it once. But I

603
00:33:18,840 --> 00:33:22,280
Speaker 1: knew from the moment I looked into his pretty blue

604
00:33:22,320 --> 00:33:25,240
Speaker 1: eyes there that that man was pure evil and the

605
00:33:25,440 --> 00:33:29,600
Speaker 1: liable mission to not tell us that that thing probably

606
00:33:29,640 --> 00:33:32,560
Speaker 1: came from the lab, and that he was responsible. If

607
00:33:32,600 --> 00:33:36,520
Speaker 1: he had told us that guy in January twenty twenty,

608
00:33:36,720 --> 00:33:39,320
Speaker 1: millions of people would be alive today because we would

609
00:33:39,320 --> 00:33:44,000
Speaker 1: have cracked down on China to release the original genome

610
00:33:44,160 --> 00:33:49,240
Speaker 1: of that virus, and we could have designed a better vaccine,

611
00:33:49,360 --> 00:33:52,800
Speaker 1: a one much more quickly, and been that much more prepared,

612
00:33:52,880 --> 00:33:57,080
Speaker 1: that much more quickly. Got the mission of the Trington book.

613
00:33:57,160 --> 00:34:00,400
Speaker 1: One of them is to put Fauci in jail. Second

614
00:34:00,400 --> 00:34:04,240
Speaker 1: one is the whole kind of commis communist China accountable

615
00:34:04,320 --> 00:34:07,840
Speaker 1: financially for all the harm they've done to us. I

616
00:34:08,880 --> 00:34:11,360
Speaker 1: love all this, by the way, you are killing like

617
00:34:12,040 --> 00:34:16,680
Speaker 1: so from your perspective, Trump has now said, I wish

618
00:34:16,760 --> 00:34:19,879
Speaker 1: I had fired Fauci. The problem Buck and I talked

619
00:34:19,880 --> 00:34:23,279
Speaker 1: about this earlier this week when Biden became president, he

620
00:34:23,320 --> 00:34:25,359
Speaker 1: would have brought Fauci back, and it would have been

621
00:34:25,360 --> 00:34:28,160
Speaker 1: like Fauci was a conquering hero for all the idiots

622
00:34:28,160 --> 00:34:30,600
Speaker 1: out there who've been trying to follow all of his advice,

623
00:34:30,680 --> 00:34:33,440
Speaker 1: which has been bad advice very often for the economy

624
00:34:33,840 --> 00:34:37,600
Speaker 1: and for the country. Once Faucci got a public profile

625
00:34:38,280 --> 00:34:41,280
Speaker 1: other than and he's so political now and he's always

626
00:34:41,320 --> 00:34:44,160
Speaker 1: been political, but now he's protected by the Democrats, he

627
00:34:44,320 --> 00:34:47,919
Speaker 1: should have to resign. He's not going to resign. How

628
00:34:47,920 --> 00:34:51,640
Speaker 1: do we get Fauci out at this point? Well, well,

629
00:34:51,680 --> 00:34:54,239
Speaker 1: let me tell you. The entire story is telling me

630
00:34:54,320 --> 00:34:57,239
Speaker 1: in Trump time bookcase. I actually told the Boss twice

631
00:34:57,640 --> 00:35:00,319
Speaker 1: to fire Fauci, and the first time was a I

632
00:35:00,320 --> 00:35:03,319
Speaker 1: came out of the sit room, the situation room. The

633
00:35:03,400 --> 00:35:06,400
Speaker 1: Boss had sent me there to argue on behalf of

634
00:35:06,480 --> 00:35:09,200
Speaker 1: this travel band on China, which would save millions of lives,

635
00:35:09,600 --> 00:35:12,439
Speaker 1: and Faucci was the guy I was fighting. I came out,

636
00:35:12,560 --> 00:35:14,359
Speaker 1: I went straight to the Oval. It's like, dude, it's

637
00:35:14,360 --> 00:35:17,120
Speaker 1: it's like this dude is like he's dangerous, he's talking.

638
00:35:17,239 --> 00:35:21,000
Speaker 1: He was opposed to the initial China travel band. Yeah,

639
00:35:21,080 --> 00:35:23,760
Speaker 1: yes he was. And it's a great scene in the book.

640
00:35:23,760 --> 00:35:26,440
Speaker 1: It's chapter two. I go in there and then you know,

641
00:35:26,560 --> 00:35:30,239
Speaker 1: there's like I knew, like mulvaney was gonna be against it.

642
00:35:30,360 --> 00:35:33,319
Speaker 1: I had one of Pompeo's hacks. I would fight see

643
00:35:33,320 --> 00:35:36,320
Speaker 1: if you can get this one. The Orval Redenbacher doppelganger.

644
00:35:36,920 --> 00:35:39,320
Speaker 1: That would be Robert Redfield, the guy at the CDC,

645
00:35:39,520 --> 00:35:41,719
Speaker 1: you know how I'm talking about. But anyway, Fauci's there

646
00:35:42,000 --> 00:35:44,799
Speaker 1: and he's just like flow bears parrot going travel bands

647
00:35:44,840 --> 00:35:46,680
Speaker 1: on work. Travel bands are where I go. Wait a minute,

648
00:35:46,760 --> 00:35:49,160
Speaker 1: dude called him. Dude. It's it's like, you mean, if

649
00:35:49,200 --> 00:35:52,880
Speaker 1: twenty thousand Chinese nationals a day or coming into Kennedy

650
00:35:52,880 --> 00:35:56,799
Speaker 1: and Lax lit up with the Wuhan virus, you want

651
00:35:56,840 --> 00:36:00,160
Speaker 1: them to keep coming in? What is wrong with you?

652
00:36:01,520 --> 00:36:04,000
Speaker 1: So that's how I first met him. Didn't know he

653
00:36:04,040 --> 00:36:06,279
Speaker 1: walked on water, didn't know he was God. I took

654
00:36:06,320 --> 00:36:08,640
Speaker 1: to measure that guy, and it was like, he thinks

655
00:36:08,640 --> 00:36:11,400
Speaker 1: he's smarter than he is. He's going to hurt this country.

656
00:36:11,600 --> 00:36:14,960
Speaker 1: And what I didn't know then is that he had

657
00:36:15,000 --> 00:36:19,000
Speaker 1: actually funded that frigging lab in Wuhan. He had authorized

658
00:36:19,000 --> 00:36:22,600
Speaker 1: those gain of function research experiments behind the back of

659
00:36:22,680 --> 00:36:26,120
Speaker 1: the Trump administration. I might add all documented in the

660
00:36:26,120 --> 00:36:28,680
Speaker 1: in Trump time Book, and it's again if he had

661
00:36:28,680 --> 00:36:30,959
Speaker 1: just told us so. But you know, I don't blame

662
00:36:30,960 --> 00:36:33,520
Speaker 1: the boss for not taking my advice. The villain in

663
00:36:33,600 --> 00:36:36,560
Speaker 1: that piece is you had all four of the big

664
00:36:36,600 --> 00:36:40,800
Speaker 1: four health guys, like you had Han at the FDA, Redfield, CDC,

665
00:36:41,160 --> 00:36:46,319
Speaker 1: asar at HHS saying you know he's God, keep him.

666
00:36:46,360 --> 00:36:50,640
Speaker 1: But most important, I blame Mulvaney, the acting chief of Staff,

667
00:36:50,680 --> 00:36:54,319
Speaker 1: because he didn't have the stones to take the blowback yet.

668
00:36:54,400 --> 00:36:56,360
Speaker 1: To me, it was like a one or two days story.

669
00:36:56,400 --> 00:36:59,200
Speaker 1: It's like but his press team were like like little

670
00:36:59,239 --> 00:37:02,640
Speaker 1: wam sheep. Mulvaney was a scared little baby. It's like, oh,

671
00:37:02,719 --> 00:37:06,480
Speaker 1: don't fire FOUCHI, he's gone. There's too much blowback. No no,

672
00:37:06,480 --> 00:37:09,720
Speaker 1: no no. I was like like like the Churchill on Hitler,

673
00:37:09,840 --> 00:37:12,960
Speaker 1: like strangle that foucy baby in the crib and like,

674
00:37:13,040 --> 00:37:15,360
Speaker 1: how do you fire him now? It's like I'm coming

675
00:37:15,400 --> 00:37:17,920
Speaker 1: at him hard. I mean, his approval ray has gone

676
00:37:18,120 --> 00:37:21,120
Speaker 1: from over seventy percent dead down and into the toilet

677
00:37:21,120 --> 00:37:24,440
Speaker 1: with Biden in the thirties, and if people read the

678
00:37:24,480 --> 00:37:27,120
Speaker 1: in Trump Time book, that guy'snt gone, he's in prison.

679
00:37:27,239 --> 00:37:29,000
Speaker 1: And if you don't believe me when you read the

680
00:37:29,000 --> 00:37:32,279
Speaker 1: book that Fouchy should be in prison, here's here's my offer, guys.

681
00:37:32,360 --> 00:37:35,120
Speaker 1: I'll give you double your money back. Peter. I'm like

682
00:37:35,160 --> 00:37:37,680
Speaker 1: they're gonna copy the book like right now. Clay and

683
00:37:37,719 --> 00:37:40,120
Speaker 1: I are really really appreciate if you join us here

684
00:37:40,200 --> 00:37:43,120
Speaker 1: and lightening up and so much what you say here

685
00:37:43,280 --> 00:37:46,680
Speaker 1: is just ringing, so true in Trump Time, a journal

686
00:37:46,719 --> 00:37:51,640
Speaker 1: of America's play here Peter Navaro, former assistant President Trump, Sir, fantastic,

687
00:37:51,680 --> 00:37:54,839
Speaker 1: appreciate it. Good luck with the book. You guys are fun.

688
00:37:54,920 --> 00:37:59,239
Speaker 1: Take care, We're fun. He's all that was got a

689
00:37:59,239 --> 00:38:01,440
Speaker 1: flame light thriller. I thought we were going to have

690
00:38:01,440 --> 00:38:03,279
Speaker 1: a little mar smellow roast that he probably a flight.

691
00:38:03,960 --> 00:38:06,040
Speaker 1: He came in there. It was like womit it up

692
00:38:06,080 --> 00:38:08,920
Speaker 1: like a Schwarzenegger and Commando ready to go. I love it.

693
00:38:09,840 --> 00:38:11,520
Speaker 1: We also love our dogs. I'm the first one to

694
00:38:11,520 --> 00:38:12,880
Speaker 1: admit it. You know that we want to take care

695
00:38:12,880 --> 00:38:14,400
Speaker 1: of our pets. One way to do that is to

696
00:38:14,440 --> 00:38:16,879
Speaker 1: make sure they eat the right things. Most dog food,

697
00:38:16,880 --> 00:38:19,040
Speaker 1: for instance, is manufactured to be able to sit on

698
00:38:19,080 --> 00:38:22,200
Speaker 1: supermarket shells for a long time. That's dog food without

699
00:38:22,239 --> 00:38:25,040
Speaker 1: any live nutrients, and that's not healthy. The solution is

700
00:38:25,120 --> 00:38:27,480
Speaker 1: rough Greens, a healthy supplement you put into your dog's

701
00:38:27,520 --> 00:38:30,680
Speaker 1: food with plenty of live nutrients. Our food has plenty

702
00:38:30,680 --> 00:38:32,960
Speaker 1: of live nutrients, as you know, human being food, so

703
00:38:33,000 --> 00:38:36,040
Speaker 1: it stands to reason that dogs need those live nutrients too.

704
00:38:36,320 --> 00:38:39,320
Speaker 1: This is the stuff your dog needs. Probiotics, enzymes, vitamins,

705
00:38:39,320 --> 00:38:42,400
Speaker 1: omega oils, healthy micro bacteria. How do you get it

706
00:38:42,440 --> 00:38:45,680
Speaker 1: in there? You just add rough Greens into your dogs

707
00:38:45,719 --> 00:38:47,880
Speaker 1: current food. It's an additive. You put it into your

708
00:38:47,880 --> 00:38:51,600
Speaker 1: dog's food. It's amazing. Rough Greens are you f will

709
00:38:51,640 --> 00:38:54,720
Speaker 1: make your dogs food healthier and make your dog feel better.

710
00:38:54,960 --> 00:38:57,040
Speaker 1: What you get is a happier, healthier dog like our

711
00:38:57,040 --> 00:38:59,759
Speaker 1: beloved French Eet Tullulah and the Sexton household. That's what

712
00:38:59,840 --> 00:39:02,120
Speaker 1: we all want, right. The folks at rough Greens are

713
00:39:02,160 --> 00:39:04,480
Speaker 1: so confident your dog is gonna love Roughgreens. They've got

714
00:39:04,480 --> 00:39:07,520
Speaker 1: a special deal for listeners to this program. Go to

715
00:39:07,680 --> 00:39:14,280
Speaker 1: Roughgreens dot com slash eib ruff Roughgreens dot com slash

716
00:39:14,400 --> 00:39:18,240
Speaker 1: eib They're gonna give you the first bag of Roughgreens free.

717
00:39:18,280 --> 00:39:21,200
Speaker 1: All you pay is shipping. That's rough greens dot Com

718
00:39:21,239 --> 00:39:32,800
Speaker 1: slash eib Roughgreens dot Com slash eib. Welcome in our

719
00:39:32,920 --> 00:39:36,160
Speaker 1: number three Clay Travis buck Sexton show. One of the

720
00:39:36,160 --> 00:39:40,160
Speaker 1: most popular guests we have because everybody else has managed

721
00:39:40,200 --> 00:39:44,719
Speaker 1: to cancel him or run from him. Alex Barrenson going

722
00:39:44,760 --> 00:39:48,360
Speaker 1: to read his sub stack latest news details all of

723
00:39:48,440 --> 00:39:51,120
Speaker 1: his analysis. Also has a book coming out soon called

724
00:39:51,719 --> 00:39:54,640
Speaker 1: Pandemonia something like that. I'll ask him exactly what it's called,

725
00:39:54,680 --> 00:39:56,960
Speaker 1: but you should go sign up for that as well.

726
00:39:58,320 --> 00:40:00,799
Speaker 1: Many different angles to hit at him with, but I

727
00:40:00,840 --> 00:40:03,120
Speaker 1: want to start. We tease this as we finished off

728
00:40:03,120 --> 00:40:07,120
Speaker 1: hour two. Rachelle Willinsky, the CDC director. I don't know

729
00:40:07,120 --> 00:40:09,560
Speaker 1: if you've heard this clip yet, Alex, but she just

730
00:40:09,640 --> 00:40:12,839
Speaker 1: tweeted this out in the last hour. I want you

731
00:40:12,880 --> 00:40:15,600
Speaker 1: to listen and then I'll let you begin your hit

732
00:40:15,680 --> 00:40:20,360
Speaker 1: with us. Reacting to CDC director Rochelle Willinski. Here she

733
00:40:20,560 --> 00:40:24,400
Speaker 1: is talking about the importance of masks. The evidence is clear.

734
00:40:25,080 --> 00:40:27,839
Speaker 1: Mask can help prevent the spread of COVID nineteen by

735
00:40:27,880 --> 00:40:31,280
Speaker 1: reducing your chance of infection by more than eighty percent.

736
00:40:31,920 --> 00:40:34,880
Speaker 1: Whether it's an infection from the flu from the coronavirus,

737
00:40:35,040 --> 00:40:38,839
Speaker 1: or even just the common cold. In combination with other

738
00:40:38,880 --> 00:40:43,440
Speaker 1: steps like getting your vaccination, handwashing, and keeping physical distance,

739
00:40:43,880 --> 00:40:46,879
Speaker 1: wearing your mask is an important step you can take

740
00:40:47,000 --> 00:40:50,120
Speaker 1: to keep us all healthy. I mean, this is just

741
00:40:50,200 --> 00:40:52,759
Speaker 1: a lie, but I imagine your blood is boiling when

742
00:40:52,800 --> 00:40:54,920
Speaker 1: you hear this. This is not something that was said

743
00:40:55,280 --> 00:40:57,719
Speaker 1: in April of last year. This is something that the

744
00:40:57,800 --> 00:41:01,960
Speaker 1: CDC director Rochelle Willinsky, just put out on social media

745
00:41:02,040 --> 00:41:05,759
Speaker 1: in the last hour. Your reaction to Alex Berenson. I mean,

746
00:41:05,840 --> 00:41:08,480
Speaker 1: my boy, it's not even bold because it's not it's

747
00:41:08,520 --> 00:41:10,759
Speaker 1: not a lie. It's a joke. Okay, it's a joke.

748
00:41:10,840 --> 00:41:13,960
Speaker 1: Eighty percent, Like, where on earth did she get that number?

749
00:41:14,040 --> 00:41:16,719
Speaker 1: She just made it up. Yeah, it's it's it's it.

750
00:41:17,200 --> 00:41:20,160
Speaker 1: There's not a there's not a bit of evidence that

751
00:41:20,280 --> 00:41:23,040
Speaker 1: masks reduced you know, we're talking about normal even and

752
00:41:23,200 --> 00:41:24,879
Speaker 1: ninety five by the way, but there's not a bit

753
00:41:24,880 --> 00:41:28,399
Speaker 1: of evidence that the cloth or surgical masks reduce your

754
00:41:28,480 --> 00:41:32,120
Speaker 1: rate of getting COVID at all. Basically, and the idea,

755
00:41:32,160 --> 00:41:34,040
Speaker 1: you know, the idea for a while was well, maybe

756
00:41:34,040 --> 00:41:36,600
Speaker 1: they'll keep you from you know, giving it to other people.

757
00:41:36,719 --> 00:41:39,480
Speaker 1: The evidence of that it's quite weak too. But but

758
00:41:39,480 --> 00:41:43,680
Speaker 1: but that's just it's nonsense. Okay, it's as an absolute lie.

759
00:41:43,719 --> 00:41:46,279
Speaker 1: And here's the thing. We've all been alive the last

760
00:41:46,320 --> 00:41:50,799
Speaker 1: eighteen months, right, We've all seen we've all worn masks. Everybody,

761
00:41:50,840 --> 00:41:54,040
Speaker 1: even in the Red States, basically wore masks. We all

762
00:41:54,080 --> 00:41:56,840
Speaker 1: did our part, we wore our masks last fall. It

763
00:41:57,000 --> 00:42:01,479
Speaker 1: made no difference. COVID doesn't care whether you're wearing a mask,

764
00:42:01,520 --> 00:42:04,200
Speaker 1: and there's a good biological leason for that, which is

765
00:42:04,239 --> 00:42:07,000
Speaker 1: that it's too small for the mask to have any

766
00:42:07,080 --> 00:42:11,600
Speaker 1: impact on This is not this is not magic. Okay.

767
00:42:11,760 --> 00:42:14,520
Speaker 1: If we were all walking around, you know, has matt

768
00:42:14,600 --> 00:42:18,200
Speaker 1: suits with their own purifiers and oxygen supplies, we wouldn't

769
00:42:18,200 --> 00:42:20,440
Speaker 1: pass COVID to each other. But we're not. I mean,

770
00:42:20,480 --> 00:42:22,319
Speaker 1: we still you know, there still might be a tiny

771
00:42:22,320 --> 00:42:24,840
Speaker 1: bit of contamination here, and they're even in super secure labs.

772
00:42:24,840 --> 00:42:28,239
Speaker 1: That happen sometimes, but we probably wouldn't. But we're not.

773
00:42:28,280 --> 00:42:32,799
Speaker 1: We're wearing basically bandanas on our faces, okay, and even

774
00:42:32,440 --> 00:42:35,640
Speaker 1: the even the better surgical masks are not really much

775
00:42:35,680 --> 00:42:37,840
Speaker 1: more than that. And I don't I mean, does she

776
00:42:38,040 --> 00:42:41,000
Speaker 1: think that anybody believes this. The conclusion that I've come

777
00:42:41,040 --> 00:42:43,239
Speaker 1: to over the last year and especially the last few

778
00:42:43,239 --> 00:42:46,400
Speaker 1: months about masks is that masks are purely as symbol

779
00:42:46,480 --> 00:42:49,520
Speaker 1: for these people. They think it keeps people scared. It

780
00:42:49,680 --> 00:42:51,279
Speaker 1: is a lot. And I saw this, you know, I

781
00:42:51,320 --> 00:42:54,279
Speaker 1: was on the I was on the train yesterday in

782
00:42:54,320 --> 00:42:56,799
Speaker 1: New York. You know, in New York City, when people

783
00:42:56,840 --> 00:43:00,359
Speaker 1: are wearing masks, it signals danger. In general, when people

784
00:43:00,360 --> 00:43:04,280
Speaker 1: are not wearing masks, it signals normality. And for whatever reason,

785
00:43:04,640 --> 00:43:08,080
Speaker 1: these people want us to stay fright and they they

786
00:43:08,200 --> 00:43:10,400
Speaker 1: and they will do off anything for that. Alex, I

787
00:43:10,400 --> 00:43:12,800
Speaker 1: want to ask, I mean, I'm seeing this as because

788
00:43:13,080 --> 00:43:15,840
Speaker 1: Clay sent this to be knew that my head explodes.

789
00:43:15,840 --> 00:43:18,359
Speaker 1: I've hated masks from the beginning. I never have accepted

790
00:43:18,680 --> 00:43:21,960
Speaker 1: or believe the Fauci explanation that he lied to us

791
00:43:22,000 --> 00:43:24,680
Speaker 1: for our own good because of supply. No, I'm sorry.

792
00:43:24,880 --> 00:43:26,920
Speaker 1: That's one. It's unethical to do that, even if you

793
00:43:26,960 --> 00:43:28,799
Speaker 1: think that's what you're doing. I also think that that

794
00:43:28,880 --> 00:43:31,200
Speaker 1: was the after the fact justification of it. But it

795
00:43:31,200 --> 00:43:33,280
Speaker 1: seems to me you've got two things happening right now.

796
00:43:34,000 --> 00:43:36,839
Speaker 1: You have, Oh, masks are great, right before we're about

797
00:43:36,840 --> 00:43:40,200
Speaker 1: to go into wintertime when blue states. Clay just gave

798
00:43:40,239 --> 00:43:42,320
Speaker 1: me the stats in the in the break here Vermont

799
00:43:42,400 --> 00:43:46,080
Speaker 1: highest caseload ever. Right now you got blue states that

800
00:43:46,120 --> 00:43:48,840
Speaker 1: are starting to see New York higher caseload where I

801
00:43:48,880 --> 00:43:52,120
Speaker 1: am right now than at exactly this time last year.

802
00:43:52,480 --> 00:43:54,799
Speaker 1: So they're saying, oh, masks are so great because they

803
00:43:54,840 --> 00:43:58,400
Speaker 1: know people aren't as mask you know, you know, enthusiastic

804
00:43:58,440 --> 00:44:00,799
Speaker 1: as they had been. And also the bosters are rolling out.

805
00:44:00,800 --> 00:44:02,480
Speaker 1: It seems to me that if we had a big surge,

806
00:44:02,480 --> 00:44:04,640
Speaker 1: they're just gonna say we didn't mask up hard enough

807
00:44:04,640 --> 00:44:06,600
Speaker 1: and you didn't get your boosters fast enough, and they're

808
00:44:06,600 --> 00:44:08,359
Speaker 1: gonna pretend they were right about everything else. What am

809
00:44:08,360 --> 00:44:10,600
Speaker 1: I missing? No, I think I think you're right. It's

810
00:44:10,600 --> 00:44:12,080
Speaker 1: not And by the way, I think that they are

811
00:44:12,120 --> 00:44:14,399
Speaker 1: aware that like nobody or that a lot of people

812
00:44:14,440 --> 00:44:16,920
Speaker 1: are not listening to them anymore. This is an excuse, okay,

813
00:44:17,160 --> 00:44:20,479
Speaker 1: because the vaccines now you know it has been six

814
00:44:20,520 --> 00:44:22,680
Speaker 1: months for a lot of people who got them. You know,

815
00:44:22,800 --> 00:44:25,920
Speaker 1: the peak time was March April. Now we're in November,

816
00:44:25,960 --> 00:44:29,080
Speaker 1: that six months plus, so so booster efficacy is falling

817
00:44:29,120 --> 00:44:32,359
Speaker 1: towards zero for infection and transmission. We're heading into the winter,

818
00:44:32,680 --> 00:44:35,520
Speaker 1: and it looks like I'm sorry, you know, sort of

819
00:44:35,520 --> 00:44:38,400
Speaker 1: primary vaccines, first and second dose. It looks like a

820
00:44:38,400 --> 00:44:40,760
Speaker 1: lot of people don't want boosters. The Only Times actually

821
00:44:40,760 --> 00:44:43,520
Speaker 1: had a story today about how in California, you know,

822
00:44:43,560 --> 00:44:46,279
Speaker 1: there's forty million people, there are very few. There's a

823
00:44:46,280 --> 00:44:49,640
Speaker 1: couple hundred thousand boosters a day going out people. People

824
00:44:50,239 --> 00:44:52,719
Speaker 1: under sixty five certainly feel, aside from you know, the

825
00:44:52,760 --> 00:44:55,239
Speaker 1: few kirens and meals out there who are terrified of

826
00:44:55,320 --> 00:44:59,279
Speaker 1: this thing, still unreasonably after eighteen months, most people feel

827
00:44:59,360 --> 00:45:01,359
Speaker 1: I got my sh I did my part for this,

828
00:45:01,719 --> 00:45:05,839
Speaker 1: I'm not getting a boosters. That's pretty clearly you know

829
00:45:06,400 --> 00:45:08,840
Speaker 1: out there, and even older people, I think some of

830
00:45:08,840 --> 00:45:10,759
Speaker 1: them have questions, now, why do I have to do this?

831
00:45:10,760 --> 00:45:13,040
Speaker 1: So why don't have to get another shot? And so

832
00:45:13,120 --> 00:45:15,200
Speaker 1: they know people are not getting boosters. And if people

833
00:45:15,200 --> 00:45:17,440
Speaker 1: are not getting boosters, that means there's no chance that

834
00:45:17,600 --> 00:45:20,600
Speaker 1: we will avoid a surge in the Blue States everywhere

835
00:45:20,640 --> 00:45:24,080
Speaker 1: from California, all the places that had a surge last

836
00:45:24,160 --> 00:45:26,800
Speaker 1: fall and into the winter are going to have a surge.

837
00:45:26,840 --> 00:45:29,120
Speaker 1: And so yes, they are trying to look for a

838
00:45:29,160 --> 00:45:32,160
Speaker 1: reason not to be blamed for this when the reason

839
00:45:32,400 --> 00:45:35,719
Speaker 1: is everything they've promised has been wrong. It's either been

840
00:45:35,760 --> 00:45:39,040
Speaker 1: a lie or wrong or both, and they can't run

841
00:45:39,080 --> 00:45:42,440
Speaker 1: away from it anymore. Alex Barnson with US, Alex, the

842
00:45:42,560 --> 00:45:46,440
Speaker 1: data in Europe is scary for people out there who

843
00:45:46,480 --> 00:45:48,239
Speaker 1: are going to say, oh, the vaccines are going to

844
00:45:48,400 --> 00:45:54,120
Speaker 1: cure the pandemic. European countries overwhelmingly, many of them very

845
00:45:54,120 --> 00:45:58,240
Speaker 1: well vaccinated, and cases are surging as guess what happens

846
00:45:58,280 --> 00:46:01,360
Speaker 1: it gets to be cold and flucy season there, COVID

847
00:46:01,400 --> 00:46:05,600
Speaker 1: cases are skyrocking. Is there any reason to believe that

848
00:46:05,719 --> 00:46:09,279
Speaker 1: Europe is not prologue for America in the winter now

849
00:46:09,360 --> 00:46:12,400
Speaker 1: as well? No, absolutely not. There's every reason to believe

850
00:46:12,480 --> 00:46:15,040
Speaker 1: that is going to happen. And you're absolutely right, whether

851
00:46:15,080 --> 00:46:18,920
Speaker 1: it's Germany, the Netherlands, Denmark, all these northern European countries,

852
00:46:18,920 --> 00:46:21,040
Speaker 1: and by the way, in Portugal, which has been held

853
00:46:21,080 --> 00:46:23,400
Speaker 1: up by this baxers as oh they got it done.

854
00:46:23,760 --> 00:46:25,440
Speaker 1: They you know, they brought this general in and they

855
00:46:25,480 --> 00:46:28,680
Speaker 1: got ninety percent of their adults vaccinated. Cases that have

856
00:46:28,760 --> 00:46:30,439
Speaker 1: just started to rise in the next in the last

857
00:46:30,440 --> 00:46:32,920
Speaker 1: couple of days, well, Portugal obviously is southern Europe, so

858
00:46:32,960 --> 00:46:35,319
Speaker 1: they're a little bit behind Northern Europe in terms of this.

859
00:46:35,360 --> 00:46:38,320
Speaker 1: But yes, it's going to happen there in Ireland. And

860
00:46:38,719 --> 00:46:41,439
Speaker 1: you know, I mean, look at this point, Clay and Buck,

861
00:46:41,520 --> 00:46:43,440
Speaker 1: I don't even I don't even think it's set of

862
00:46:43,440 --> 00:46:46,480
Speaker 1: the debate that the vaccines have failed. Okay, they have failed,

863
00:46:46,880 --> 00:46:49,640
Speaker 1: they have failed. They there is some evidence that they

864
00:46:49,640 --> 00:46:52,640
Speaker 1: can protect people who are at high risk from really

865
00:46:52,800 --> 00:46:56,200
Speaker 1: serious outcomes. Not I mean a lot of these people

866
00:46:56,200 --> 00:46:58,080
Speaker 1: are still dying, by the way, But you know, just

867
00:46:58,120 --> 00:47:00,839
Speaker 1: like the monoclonal antibodies do, because essentially that's all they

868
00:47:00,880 --> 00:47:03,080
Speaker 1: do is they cause the serve short term spike and

869
00:47:03,120 --> 00:47:07,359
Speaker 1: anybody's for your body. But but is there anybody out

870
00:47:07,360 --> 00:47:09,760
Speaker 1: there who still believes that these that these protect people

871
00:47:09,800 --> 00:47:12,719
Speaker 1: from being being infected or getting transmission to me, we

872
00:47:12,760 --> 00:47:14,520
Speaker 1: should be talking about a bigger question. And what I'm

873
00:47:14,520 --> 00:47:17,360
Speaker 1: really focusing on the stack right now, on substack, which

874
00:47:17,640 --> 00:47:19,360
Speaker 1: I do think. I do hope people at least go

875
00:47:19,440 --> 00:47:21,040
Speaker 1: check out and you can sign up for free or

876
00:47:21,080 --> 00:47:23,799
Speaker 1: you can pay. I actually don't care, but to go

877
00:47:23,840 --> 00:47:27,040
Speaker 1: to substact dot com and put my name in. But

878
00:47:27,040 --> 00:47:29,000
Speaker 1: but what I'm talking about on the stack now is

879
00:47:29,280 --> 00:47:33,319
Speaker 1: a side effects, be like immediate side effects from you know,

880
00:47:33,360 --> 00:47:36,479
Speaker 1: a third dose, and be what is happening long term

881
00:47:36,880 --> 00:47:41,200
Speaker 1: to hospitals all over the world. Okay, hospitals are filling up.

882
00:47:41,320 --> 00:47:44,839
Speaker 1: They're filling up in Australia, they're filling up in the UK,

883
00:47:45,000 --> 00:47:46,839
Speaker 1: they are filling up in parts of the US. They're

884
00:47:46,880 --> 00:47:49,240
Speaker 1: not filling up with COVID patients. This is not about

885
00:47:49,640 --> 00:47:53,319
Speaker 1: COVID patients overrunning hospitals. Something is wrong and we don't

886
00:47:53,360 --> 00:47:56,040
Speaker 1: know what it is. It could be that medical care

887
00:47:56,080 --> 00:47:58,400
Speaker 1: has been delayed in the last year, and you know,

888
00:47:58,440 --> 00:48:01,000
Speaker 1: people are now getting sick. Could be that, you know,

889
00:48:01,080 --> 00:48:03,920
Speaker 1: suddenly a lot of you know, thirty year olds who

890
00:48:03,920 --> 00:48:06,279
Speaker 1: were inside are making up for lost time and you know,

891
00:48:06,360 --> 00:48:08,279
Speaker 1: driving two tasks and drinking too much, and some of

892
00:48:08,280 --> 00:48:11,600
Speaker 1: those people are dying. But it could also be that

893
00:48:11,760 --> 00:48:15,000
Speaker 1: this mass biological experiment we've carried out over the last

894
00:48:15,080 --> 00:48:17,960
Speaker 1: year with these mr Anda vaccines and other vaccines is

895
00:48:17,960 --> 00:48:20,359
Speaker 1: coming back to haunt us. And we don't know, and

896
00:48:20,440 --> 00:48:23,000
Speaker 1: we'd better find out, and we'd certainly better find out

897
00:48:23,040 --> 00:48:27,080
Speaker 1: before we start pushing a booster or pushing mandates or

898
00:48:27,120 --> 00:48:29,879
Speaker 1: pushing vaccines on children. We need to figure out why

899
00:48:29,920 --> 00:48:32,360
Speaker 1: the hospitals are filling up for we're speaking to Alex Barnson,

900
00:48:32,440 --> 00:48:36,200
Speaker 1: author of Pandemia. Also pleased go subscribe Full disclosure, I'm

901
00:48:36,200 --> 00:48:39,600
Speaker 1: a subscriber. Go subscribe to his sub stack, and you

902
00:48:39,600 --> 00:48:41,279
Speaker 1: could see the research in the work that he's doing

903
00:48:41,400 --> 00:48:43,200
Speaker 1: day in and day out at and Alex, it seems

904
00:48:43,200 --> 00:48:46,400
Speaker 1: to me that if we're really I mean, we're basically

905
00:48:46,480 --> 00:48:48,080
Speaker 1: at the paradigm that many of us thought we were

906
00:48:48,120 --> 00:48:50,439
Speaker 1: going to all along here, which is this is going

907
00:48:50,440 --> 00:48:52,759
Speaker 1: to be something like the flu. I had an epidemiologist

908
00:48:52,840 --> 00:48:55,280
Speaker 1: friend actually reach out to me, texted me recently and say,

909
00:48:55,440 --> 00:48:59,600
Speaker 1: with animal reservoirs, rapid mutation, and rapidly failing vaccines, the

910
00:48:59,719 --> 00:49:03,279
Speaker 1: chance of getting this to a situation where it's in

911
00:49:03,360 --> 00:49:06,920
Speaker 1: any way close to measles where we've kind of mostly

912
00:49:06,960 --> 00:49:09,960
Speaker 1: eradicated it, or even something like smallpox where we've effectively

913
00:49:10,080 --> 00:49:13,440
Speaker 1: entirely eradicated it is completely impossible. So we're at a

914
00:49:13,480 --> 00:49:15,680
Speaker 1: point now where we're going to have a seasonal shot

915
00:49:15,760 --> 00:49:18,720
Speaker 1: that only really works to prevent people who are already

916
00:49:18,760 --> 00:49:21,600
Speaker 1: at high risk from possibly getting hospitalized or dying. That

917
00:49:21,680 --> 00:49:23,960
Speaker 1: sounds a lot like our posture with regard to the

918
00:49:24,000 --> 00:49:26,520
Speaker 1: flu and has been my whole life. Right. My parents

919
00:49:26,640 --> 00:49:29,400
Speaker 1: used to get flu shots before the pandemic. But instead

920
00:49:29,440 --> 00:49:32,319
Speaker 1: of moving in that direction, they're not trying to get

921
00:49:32,360 --> 00:49:34,120
Speaker 1: five year old to take the shot. I mean, Alex

922
00:49:34,160 --> 00:49:37,320
Speaker 1: in San Francisco, you're gonna have to provide a birth certificate.

923
00:49:37,360 --> 00:49:38,960
Speaker 1: I guess, so your four year old doesn't have to

924
00:49:38,960 --> 00:49:42,239
Speaker 1: show the vax papers to go into a McDonald's. Yes,

925
00:49:42,480 --> 00:49:46,440
Speaker 1: it's insane, it's insane. Kids are at no risk from this,

926
00:49:46,640 --> 00:49:49,160
Speaker 1: effectively no risk. You know, again, there's always going to

927
00:49:49,200 --> 00:49:51,439
Speaker 1: be an exception. There was a story the other day

928
00:49:51,840 --> 00:49:55,759
Speaker 1: in a newspaper in Syracuse about a guy, an eighteen

929
00:49:55,840 --> 00:49:58,960
Speaker 1: year old who died okay, and in paragraphed him, they

930
00:49:58,960 --> 00:50:01,840
Speaker 1: acknowledge the truth. He weighed four hundred pounds, he was

931
00:50:01,920 --> 00:50:05,280
Speaker 1: eighteen years old, morbidly obest. Okay, if you are under

932
00:50:05,840 --> 00:50:08,319
Speaker 1: really forty and you are dying from COVID, you are

933
00:50:08,480 --> 00:50:11,719
Speaker 1: likely somewhere between. You know you're morbidly obests, you have

934
00:50:11,800 --> 00:50:16,319
Speaker 1: other serious health problems. This the idea that we are

935
00:50:16,360 --> 00:50:19,040
Speaker 1: forcing younger people to get this, and that we would

936
00:50:19,080 --> 00:50:22,520
Speaker 1: force children to get it is insane and the risks,

937
00:50:22,560 --> 00:50:25,160
Speaker 1: even if the risks are low, it doesn't make It

938
00:50:25,440 --> 00:50:28,640
Speaker 1: makes very little sense to vaccinate children against this. Alex.

939
00:50:28,640 --> 00:50:29,960
Speaker 1: We want to can we bring you back in a

940
00:50:30,000 --> 00:50:32,279
Speaker 1: second because Aaron Rodgers is trending right now? Have you

941
00:50:32,400 --> 00:50:36,040
Speaker 1: seen the Aaron Rodgers comments yet, Alex? I haven't. I know.

942
00:50:36,360 --> 00:50:38,759
Speaker 1: I know he's unvaccinated, he did this homeopathic thing, but

943
00:50:38,800 --> 00:50:40,839
Speaker 1: I haven't seen his comments. Well, we want to play

944
00:50:40,840 --> 00:50:43,279
Speaker 1: for you the comments and have you react to them

945
00:50:43,800 --> 00:50:45,880
Speaker 1: in real time. So can you hold over with us

946
00:50:45,880 --> 00:50:47,880
Speaker 1: for a second or sure? Sure, I've got Alex Barnson

947
00:50:47,920 --> 00:50:49,399
Speaker 1: with us. Folks will come back with them at a second.

948
00:50:49,440 --> 00:50:53,160
Speaker 1: Author of pandemia. One sure way to cut monthly household

949
00:50:53,160 --> 00:50:56,160
Speaker 1: expenses without sacrificing any of the quality of service. Switch

950
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Speaker 1: your cell phone to Pure Talk Salular from AT and

951
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Speaker 1: Tmobile or Verizon. That alone will likely save you fifty

952
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Speaker 1: or sixty bucks a month. If the whole family's on

953
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Speaker 1: your plan, you're likely to save get this over eight

954
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Speaker 1: hundred dollars a year. Pure Talk is on the exact

955
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Speaker 1: same five G network, using the exact same towers. It's

956
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957
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958
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959
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Speaker 1: your phone, get a new SIM card. I've done this before,

960
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Speaker 1: did it with my puer talk phone. Install it in

961
00:51:25,280 --> 00:51:27,600
Speaker 1: your existing phone. You can do it in less than

962
00:51:27,680 --> 00:51:29,879
Speaker 1: half an hour. It's time for a new phone, pure

963
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964
00:51:31,520 --> 00:51:34,040
Speaker 1: Pure Talk has a Black Friday sale this entire month

965
00:51:34,239 --> 00:51:36,440
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966
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967
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Speaker 1: a new phone at a great price, and save money

968
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Speaker 1: clay each month, save great cash every month in your

969
00:51:43,520 --> 00:51:46,879
Speaker 1: cell phone bill. Yeah, it's an incredible offer from pure Talk.

970
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Speaker 1: You get unlimited talk tech six gigs of data on

971
00:51:50,320 --> 00:51:53,640
Speaker 1: pure Talks five G network and it's just thirty dollars

972
00:51:53,640 --> 00:51:56,920
Speaker 1: a month. My own thirteen year old, my eighth grader,

973
00:51:56,960 --> 00:52:00,839
Speaker 1: has this exact phone plan bill and Tennis signed up.

974
00:52:00,880 --> 00:52:03,960
Speaker 1: He made the switch and he said, great reception, great price,

975
00:52:04,080 --> 00:52:08,080
Speaker 1: excellent service, thirty day risk free guarantee for you. So

976
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Speaker 1: you literally have nothing to lose. How do you sign

977
00:52:10,480 --> 00:52:13,880
Speaker 1: up from your cell phone right now? Dal pound two

978
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Speaker 1: fifty and say pure Talk. You'll gave fifty percent off

979
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980
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Speaker 1: a new phone that's pound two five zero. Say pure

981
00:52:24,760 --> 00:52:33,040
Speaker 1: Talk some restrictions. Welcome back to the Clay Travis buck

982
00:52:33,080 --> 00:52:35,880
Speaker 1: Sexton Show. We got our friend Alex Berenson, author of

983
00:52:35,960 --> 00:52:38,960
Speaker 1: Pandemia and Ghost. Subscribe to his substack if you want

984
00:52:39,040 --> 00:52:42,400
Speaker 1: some COVID truth rooted in numbers, data reality. He's with

985
00:52:42,480 --> 00:52:44,719
Speaker 1: us now, Alex nextra stand through. We just want to

986
00:52:44,719 --> 00:52:47,280
Speaker 1: play for you. This is some of what Aaron Rodgers

987
00:52:47,320 --> 00:52:49,160
Speaker 1: has said that's made him the number one trending topic

988
00:52:49,160 --> 00:52:51,720
Speaker 1: on Twitter. Go for it. Had there been a follow

989
00:52:51,800 --> 00:52:54,799
Speaker 1: up to my statement that I haven't been immunized, I

990
00:52:54,840 --> 00:52:59,400
Speaker 1: would have responded with this. I would have said, look,

991
00:53:01,840 --> 00:53:06,879
Speaker 1: I'm not you know, some sort of anti VAXX, flat earth,

992
00:53:07,000 --> 00:53:12,400
Speaker 1: or I am somebody who's a critical thinker. You guys

993
00:53:12,400 --> 00:53:14,760
Speaker 1: know me. I'm marked the beating of my own drum.

994
00:53:15,160 --> 00:53:18,840
Speaker 1: I believe strongly and bodily autonomy and the ability to

995
00:53:18,920 --> 00:53:22,200
Speaker 1: make choices for your body, not to have to acquiesce

996
00:53:22,320 --> 00:53:27,640
Speaker 1: to some woke culture or crazed you know, group of

997
00:53:27,680 --> 00:53:30,759
Speaker 1: individuals who say you have to do something. Health is

998
00:53:30,760 --> 00:53:35,000
Speaker 1: not a one size fits all for everybody, Alex. The

999
00:53:35,040 --> 00:53:38,240
Speaker 1: people that want vax for COVID for five year olds

1000
00:53:38,360 --> 00:53:42,120
Speaker 1: are losing their minds over this. I mean, look, on

1001
00:53:42,239 --> 00:53:44,520
Speaker 1: the one hand, good rayon Rodgers for not getting vaccinated.

1002
00:53:44,520 --> 00:53:46,359
Speaker 1: He's a zero risk from COVID, right, I mean, he's

1003
00:53:46,360 --> 00:53:50,840
Speaker 1: a very healthy professional athlete. I'm never hand. You know,

1004
00:53:51,120 --> 00:53:53,400
Speaker 1: he should told the truth three months ago. I mean,

1005
00:53:53,400 --> 00:53:55,719
Speaker 1: he tried to sort a dance between the rainbows or

1006
00:53:55,880 --> 00:53:59,160
Speaker 1: the rain drop and he got caught and h and

1007
00:53:59,239 --> 00:54:01,560
Speaker 1: now he know he should he should own that, and

1008
00:54:01,640 --> 00:54:03,759
Speaker 1: he didn't. He's not really owning it. So he's making

1009
00:54:04,280 --> 00:54:07,799
Speaker 1: h He's going to make the vaccine fanatics mad and

1010
00:54:07,840 --> 00:54:09,680
Speaker 1: at the same time, he's not going to really be

1011
00:54:09,719 --> 00:54:13,359
Speaker 1: supported by people like me. Um. You know, I think

1012
00:54:13,400 --> 00:54:15,920
Speaker 1: Kyrie Irving is much more honest. Right, Kyrie doesn't want

1013
00:54:15,920 --> 00:54:19,560
Speaker 1: to be vaccinated, and and he's willing to sacrifice an

1014
00:54:19,719 --> 00:54:22,600
Speaker 1: enormous amount of money because it's what he believes. You know,

1015
00:54:22,960 --> 00:54:25,400
Speaker 1: Aaron Rodgers is the is the MVP of the NFL.

1016
00:54:25,680 --> 00:54:28,759
Speaker 1: So did the NFL know he wasn't vaccinated. They certainly did,

1017
00:54:28,960 --> 00:54:31,399
Speaker 1: And did they allow him to pretend he was. They

1018
00:54:31,440 --> 00:54:34,000
Speaker 1: certainly did. So, you know, one set of rules for

1019
00:54:34,080 --> 00:54:36,480
Speaker 1: Aaron Rodgers, one set of rules for Kyrie Irving. But

1020
00:54:36,600 --> 00:54:39,000
Speaker 1: I I agree with Aaron Rodgers. Why should he be

1021
00:54:39,080 --> 00:54:41,360
Speaker 1: vaccinated it or you know, if he wants to be,

1022
00:54:41,480 --> 00:54:43,880
Speaker 1: that's up to him. It's his choice. And we are

1023
00:54:43,960 --> 00:54:49,080
Speaker 1: seeing now we saw another professional athlete at the highest levels,

1024
00:54:49,080 --> 00:54:51,440
Speaker 1: a striker for Barcelona, which is, as you know, is

1025
00:54:51,480 --> 00:54:54,520
Speaker 1: one of the you know, top soccer clubs in Europe,

1026
00:54:55,280 --> 00:54:57,719
Speaker 1: was taken off the field a couple of days ago

1027
00:54:57,920 --> 00:55:01,040
Speaker 1: and he's since had an you know, an un disclosed

1028
00:55:01,080 --> 00:55:03,160
Speaker 1: cardiac procedure and he's not going to be back for

1029
00:55:03,200 --> 00:55:05,200
Speaker 1: several months. And he was vaccinated. We know he was

1030
00:55:05,280 --> 00:55:09,279
Speaker 1: because he's out there telling kids to get vaccinated. So

1031
00:55:10,400 --> 00:55:12,719
Speaker 1: you know, if I were a professional athlete and I

1032
00:55:13,120 --> 00:55:15,880
Speaker 1: you know, I wouldn't go near this thing. Well, it

1033
00:55:15,920 --> 00:55:18,080
Speaker 1: appears that the sort of the heart and the Mira

1034
00:55:18,239 --> 00:55:21,480
Speaker 1: carditis risks of this of the mr and A vaccines

1035
00:55:21,520 --> 00:55:25,480
Speaker 1: are especially prominent in young men, especially in healthy young men,

1036
00:55:25,560 --> 00:55:27,799
Speaker 1: So why would you get vaccinated? So, you know, good

1037
00:55:27,800 --> 00:55:30,120
Speaker 1: for Aaron Rodgers for doing what he thinks is right.

1038
00:55:30,400 --> 00:55:32,480
Speaker 1: Boot to Aaron Rodgers for not telling the truth about that.

1039
00:55:33,400 --> 00:55:36,200
Speaker 1: It's interesting you mentioned Kyrie Irving, and obviously Kyrie Irving

1040
00:55:36,200 --> 00:55:39,200
Speaker 1: has been much criticized. That's not an NBA rule. It's

1041
00:55:39,200 --> 00:55:41,799
Speaker 1: worth mentioning the reason why Kyrie Irving camp play is

1042
00:55:41,800 --> 00:55:45,800
Speaker 1: because of New York City vaccine mandates. The NBA itself

1043
00:55:45,840 --> 00:55:48,560
Speaker 1: did not mandate the vaccine for players, just like the

1044
00:55:48,719 --> 00:55:52,920
Speaker 1: NFL hasn't, but they have all these protocols in place. Okay, So, Alex,

1045
00:55:53,440 --> 00:55:55,640
Speaker 1: I always like to ask you, I know, trying to

1046
00:55:55,640 --> 00:55:59,080
Speaker 1: predict COVID has made fools of us all. But as

1047
00:55:59,160 --> 00:56:03,720
Speaker 1: we sit here in early November, where are we headed

1048
00:56:03,920 --> 00:56:05,799
Speaker 1: for the holiday season, we need you to be quick.

1049
00:56:05,840 --> 00:56:08,600
Speaker 1: We got like a minute here, sure, And I think

1050
00:56:08,640 --> 00:56:10,239
Speaker 1: I've said this to you guys before I think we're

1051
00:56:10,239 --> 00:56:12,359
Speaker 1: going up. Um. Look, there was one. We haven't talked

1052
00:56:12,360 --> 00:56:14,319
Speaker 1: about this at all. It's one piece of very very

1053
00:56:14,360 --> 00:56:17,520
Speaker 1: good news. Today. Fives are announced that that a drug

1054
00:56:17,560 --> 00:56:21,200
Speaker 1: that they have a therapeutic looks really good at, you know,

1055
00:56:21,280 --> 00:56:24,280
Speaker 1: at helping people with COVID if it's if they're diagnosed

1056
00:56:24,280 --> 00:56:27,120
Speaker 1: within three days of showing symptoms, and you know, and

1057
00:56:27,280 --> 00:56:30,279
Speaker 1: and as a result, the vaccine maker stocks Maderna and

1058
00:56:30,320 --> 00:56:34,000
Speaker 1: BioNTech are getting crushed today. What the what the stock

1059
00:56:34,040 --> 00:56:36,239
Speaker 1: market at least is saying, is this is going to end,

1060
00:56:36,280 --> 00:56:38,920
Speaker 1: and it's going to end with therapeutics and not vaccine,

1061
00:56:39,000 --> 00:56:42,040
Speaker 1: which is which has historically been how we treat you know,

1062
00:56:42,160 --> 00:56:45,440
Speaker 1: most respiratory diseases. So you know, eventually we're going to

1063
00:56:45,520 --> 00:56:47,960
Speaker 1: get there, but the idea that we're it's going to

1064
00:56:48,040 --> 00:56:50,200
Speaker 1: be a bad couple months, I think because the vaccines

1065
00:56:50,239 --> 00:56:52,120
Speaker 1: are failing, no question about it. What do we know,

1066
00:56:52,160 --> 00:56:54,000
Speaker 1: by the way, it's real quick. I mean, how many

1067
00:56:54,040 --> 00:56:57,920
Speaker 1: of the people in hospital right now nationwide are fully vaccinated?

1068
00:56:58,000 --> 00:57:00,160
Speaker 1: Do we have the data? Yet? We have no have

1069
00:57:00,200 --> 00:57:02,759
Speaker 1: NOE data. And in fact, the CDC is hiding data again.

1070
00:57:02,840 --> 00:57:05,759
Speaker 1: They used to disclose how many people who were fully

1071
00:57:05,800 --> 00:57:09,799
Speaker 1: vaccinated had died. They stop updating that yesterday. They are

1072
00:57:09,880 --> 00:57:13,480
Speaker 1: hiding data. Yeah, terrible until people get the boosters. Pandemia

1073
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Speaker 1: is the book, the sub stack for Alex Barrinson's where

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Speaker 1: you should go if you want daily updates. Alex Man,

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Speaker 1: we always appreciate you. It's gonna be a cold winter.

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