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Speaker 1: Welcome back everybody from Thanksgiving holiday, clay Buck time.

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Speaker 2: We got much to discuss with you. Play.

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Speaker 1: Thank you for holding down the fort making sure there's

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Speaker 1: plenty of turkey to go around in my absence. I

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Speaker 1: will say, I think I might have hit the limit

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Speaker 1: for how much weight one could gain in forty eight hours.

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Speaker 1: I went, I went all in in the paint, my friend,

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Speaker 1: did you weigh yourself?

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Speaker 2: Did you actually weigh yourself? Play? Of course not. I

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Speaker 2: don't weigh myself to the new year, my friend.

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Speaker 3: I know there's a lot of nervousness for people getting

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Speaker 3: out of the shower this morning, you know, starting off

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Speaker 3: return to work schedule. That scale is there, and a

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Speaker 3: lot of apprehensive glances in that direction.

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Speaker 1: So we're definitely in recovery from Thanksgiving feast, from the

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Speaker 1: food comas that people may have fallen into. I hope

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Speaker 1: you all have an absolutely fantastic one. And look, we

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Speaker 1: basically have a bit of a sprint between now and

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Speaker 1: the Christmas holiday at the end of the year and

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Speaker 1: Hanukkah and the New Year's and then we're just in

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Speaker 1: the thick of the political cycle. You know, we're we're

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Speaker 1: what forty nine days out right forty nine days, or.

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Speaker 2: Think that's basically it. Yeah, I think it's whatever.

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Speaker 1: We'll call it just under fifty because that's under fifty

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Speaker 1: for the first votes to be cast. So this is

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Speaker 1: all going to be happening very quickly. We'll have updates

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Speaker 1: for you on that one. They're starting to, I think,

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Speaker 1: turn the machinery of destruction and defamation against Donald Trump

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Speaker 1: more and more on the left. I think they're already

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Speaker 1: starting to try to get in early an early look

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Speaker 1: at their Trump Arrangement syndrome mechanisms. I think they're trying

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Speaker 1: to get them fired up as quickly as they can.

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Speaker 1: So we'll talk about that. Some other interesting stuff going on.

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Speaker 1: We have New York retailers lost four point four billion

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Speaker 1: due to organized shoplifting in twenty twenty two. That's not

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Speaker 1: even just eazy off the cuff or sort of on

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Speaker 1: the fly shoplifting. That's organized retail theft, which is really

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Speaker 1: just a form of organized crime.

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Speaker 2: Everybody probably start calling it that.

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Speaker 1: Uneasy about people walking in at night near their home

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Speaker 1: nationwide is at a thirty year high, according to Gallup.

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Speaker 1: I thought that was some unsettling but important data we

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Speaker 1: can dive into later on in the show. But Clay,

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Speaker 1: I know, we've also got the shots that people are

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Speaker 1: not getting. You'll give us those numbers in a little bit.

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Speaker 1: But people are not getting COVID shots, which is so

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Speaker 1: strange because I remember two years ago, if you wouldn't

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Speaker 1: get the COVID shot, you were like a monster.

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Speaker 2: You're a horrible person. That's what they told us.

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Speaker 1: But first off, there's some breaking news just today. So

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Speaker 1: the truce between Israel and Hamas is going to be

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Speaker 1: extended for two days, and on Sunday, Hamas released the

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Speaker 1: third group of hostages. This was just yesterday, so it's

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Speaker 1: been three different hostages releases as of yesterday, and now

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Speaker 1: there's an agreement to extend with more hostages released. So

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Speaker 1: there's been this four day cease fire between Israel and Hamas.

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Speaker 1: The ceasefire on Sunday for fourteen Israelis, including a four

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Speaker 1: year old who holds dual US citizenship, three Thai citizens,

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Speaker 1: thirty nine Palestinian prisoners set to be released by Israel

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Speaker 1: and Clay, you may have seen this one over the weekend.

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Speaker 1: This kind of goes to the politics of what's happening here,

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Speaker 1: what's going on the White House. This is the Washington

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Speaker 1: Post piece grapples with internal divisions on Israel Gaza. Now

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Speaker 1: you raised this first on the show The White House.

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Speaker 1: Apparently well, Joe Biden specifically apologized to a group This

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Speaker 1: was just reported yesterday in the Washington Post. Apologized to

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Speaker 1: a group of Muslim American leaders and said that he

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Speaker 1: shouldn't have doubted so strongly Hamas supplied casualty numbers. This

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Speaker 1: is what he says behind closed doors. Clay, I think

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Speaker 1: the Democrats are fine out. They can't have it both

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Speaker 1: ways on this stuff.

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Speaker 3: Yeah, And I think this is part of the The

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Speaker 3: major obstacle that exists for Joe Biden's reelection is the

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Speaker 3: identity politics world that Democrats created, where you view everything

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Speaker 3: through the prism of race oppression. The idea that white

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Speaker 3: men are evil is falling down all around them. And

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Speaker 3: Trump was kind of their boogeyman, the great Satan, that

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Speaker 3: they could rely upon uniting all of their identity politics coalition.

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Speaker 2: I don't think that's working very well.

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Speaker 4: Buck.

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Speaker 3: And it's not only that Biden is facing internal divisions

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Speaker 3: inside of his inside of his own tent. It's that

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Speaker 3: many people black, White, Asian and Hispanic who otherwise bought

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Speaker 3: into what Joe Biden sold in twenty twenty. Increasingly, I

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Speaker 3: think are getting red pilled in real time. And I

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Speaker 3: talked over this holiday with a variety of different people

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Speaker 3: who are Jewish, who are all different political persuasions, and

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Speaker 3: this is a national international red pill moment for many

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Speaker 3: of them, and for those of you out there who

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Speaker 3: are not familiar with the concept of the red pill.

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Speaker 3: You know, it's a phrase of metaphor that took on

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Speaker 3: a lot of power in the last seven or eight years.

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Speaker 3: I would say where if you remember the movie The Matrix,

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Speaker 3: you make a choice if you want to see take

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Speaker 3: the red Pill. Then you see how deep everything goes.

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Speaker 3: It's the neo character suddenly becomes aware of the simulation

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Speaker 3: in which he is his living. And I think there's

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Speaker 3: a lot of you out there that are similar to me.

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Speaker 3: Now you have also a lot of buck Sexton's out

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Speaker 3: there in the world who when they were twelve years

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Speaker 3: old were reading William F. Buckley and nodding along and

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Speaker 3: as well, that is all that is, certainly as one does.

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Speaker 3: That is certainly a not in substantial portion of this audience.

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Speaker 3: But I think there's a lot of people like me too,

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Speaker 3: who just kind of slowly as you aged, looked around

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Speaker 3: and said, man, a lot of this stuff is not

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Speaker 3: adding up. And I've heard from so many Jewish people,

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Speaker 3: and I'm sure that a lot of you are listening

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Speaker 3: to us right now who October seventh was and the

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Speaker 3: resulting aftermath of October seventh, and the reaction was for

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Speaker 3: them a crystallizing moment that they suddenly became aware, wait

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Speaker 3: a minute, we're not really on the same team anymore.

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Speaker 3: And I think a lot of you out there probably

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Speaker 3: had conversations with kids and grandkids coming home from college campuses,

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Speaker 3: and some of those I bet we're uncomfortable because your

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Speaker 3: kids are telling you that Jews are the bad guy here,

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Speaker 3: and you're having to explain to them that despite the

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Speaker 3: fact that they're ostensibly highly educated, they've been very susceptible

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Speaker 3: to being told and taught untruths.

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Speaker 2: And so I think this is what Joe Biden is reconciling.

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Speaker 3: When you have huge support from Jews and Muslims in

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Speaker 3: your twenty twenty election, this is not an issue you

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Speaker 3: can third weigh it. You're either on the side of

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Speaker 3: good or evil. Hamas is evil. The Jews are in

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Speaker 3: this situation good and it's not a difficult decision for

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Speaker 3: most people.

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Speaker 1: I don't know if there's been a time since the

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Speaker 1: since the real thick of the COVID madness of the

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Speaker 1: Biden regime, that I've had so many people reach out

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Speaker 1: who listen to this show, whether just people who listen,

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Speaker 1: or even friends of mine from from earlier in life

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Speaker 1: that I haven't heard from in years, who just say,

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Speaker 1: I just want to say thank THANXT to me and

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Speaker 1: to you for just speaking with moral clarity on this issue.

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Speaker 1: Because I think this is a moment of moral clarity.

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Speaker 1: I think that people who don't see it as such

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Speaker 1: are confused or worse. I think confused is the best

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Speaker 1: thing that you could try to say about it, And

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Speaker 1: certainly in this meeting today with Benjamin and Yahoo and

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Speaker 1: Elon Musk, and as an aside, I've been reading the

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Speaker 1: Walter Isaacson Elon. It's excellent, really really, I mean it's

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Speaker 1: super readable. So I was flying through that. That was

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Speaker 1: what I was reading over the holiday. So I'll probably

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Speaker 1: be dropping some Elon Musk knowledge in the weeks ahead.

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Speaker 1: Fascinating guy, and we should have him on the show.

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Speaker 1: By the way, we got to get him on the show.

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Speaker 1: But anyway back to moral clarity, back to the fight

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Speaker 1: against Amas. Benjamin Dat Yahoo meeting with Elon Musk. Listen

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Speaker 1: to what is the Israeli Prime Minister has to say,

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Speaker 1: play five.

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Speaker 4: If you want peace, destroy Kamas. If you want security,

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Speaker 4: destroy Comas. If you want a better life for the

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Speaker 4: Palestinians in Gaza who been hijacked by Hamas, destroy Kamas.

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Speaker 4: All of that is a precursor to the question that

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Speaker 4: you asked. You first have to get rid of the

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Speaker 4: poisonous regime, as you did in Germany, as you did

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Speaker 4: in Japan. Yeah, in World War two, these were two.

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Speaker 4: There's no choice, There's no choice, So there's prerequds.

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Speaker 1: Yes, that is the point of clarity here. Okay, we

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Speaker 1: can talk about ceasefires and negotiations, and we can certainly

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Speaker 1: have conversations about ways to mitigate although elimination is not

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Speaker 1: possible and that's an impossible standard, but to mitigate Palestinian

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Speaker 1: casualties in Gaza. But the mission set here is clear,

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Speaker 1: and this is what these two individuals, Benjaminett Yahoo and

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Speaker 1: Elon Musk are agreeing on. The mission set is a

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Speaker 1: destruction and nation of Hamas as an entity, which means

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Speaker 1: it's leadership is either captured or killed, and it's you know,

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Speaker 1: it's primary cells and fighter groups, mechanisms, et cetera. Are

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Speaker 1: taken off the battlefield.

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Speaker 2: That's it.

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Speaker 1: Otherwise Hamas gets away with it and continues this, and

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Speaker 1: that's unacceptable.

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Speaker 3: Well, and to some extent, Hamas is getting away with

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Speaker 3: the taking of the hostages. They're being rewarded for stealing

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Speaker 3: and holding two hundred and forty Jewish people in captivity

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Speaker 3: for the last almost fifty days and beyond, because they're

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Speaker 3: getting a three to one return. Is my understanding of hostages,

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Speaker 3: that is Israel is giving back three for everyone they get.

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Speaker 2: In the past.

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Speaker 1: And this always goes to the respect for life that

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Speaker 1: the Israeli people and Israeli regime is rooted in. Not

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Speaker 1: saying it's perfect, but it is rooted in respect for

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Speaker 1: life and protection of life Clay. In the past, there

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Speaker 1: have been far bigger you know, the is will swap

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Speaker 1: hundreds for one.

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Speaker 2: Of their own.

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Speaker 1: They will do prisoner releases out of prison of terrorists

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Speaker 1: if they need to save the lives of one of

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Speaker 1: their own. Now that's always very difficult. Right now, we

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Speaker 1: say we don't negotiate with terrorists. I used to work

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Speaker 1: in CIICTC. I can tell you that what the government

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Speaker 1: has done, especially on the Obama administration, was negotiate with

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Speaker 1: terrorists a whole heck of a lot.

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Speaker 3: I'll also say this buck. You notice how every time

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Speaker 3: there's actually peril or danger in the world, biology becomes

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Speaker 3: real again. You know who's getting released? Women and children

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Speaker 3: first there. It's amazing how when there are times apparel

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Speaker 3: look at Ukraine, I believe them. The numbers are every

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Speaker 3: man under the age of sixty has been drafted. Now

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Speaker 3: there are some women who have been fighting, but you're

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Speaker 3: not allowed to leave the country of Ukraine. I don't

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Speaker 3: think legally if you're under the age of sixty. And

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Speaker 3: to my understanding, no men have been released at all.

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Speaker 3: You've probably seen that meme of the Titanic going down

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Speaker 3: where the bad guy is rushing towards the lifeboats, and

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Speaker 3: you know there's the picture it says women in.

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Speaker 1: The Billy Zain character, he was he was so good

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Speaker 1: in Titanic. I got to so good, so good as

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Speaker 1: a bad guy. But you know there's a meme of

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Speaker 1: him trying to rush to the life boats and it

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Speaker 1: says women and children first, and immediately the Billy's Ain character,

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Speaker 1: obviously this is made up, screams I'm transu, which is

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Speaker 1: which is very funny.

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Speaker 2: And have you seen that memes?

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Speaker 3: Oh it's great, so good. Women and children first, he screams,

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Speaker 3: I'm trans uh.

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Speaker 2: But women and children are being released first.

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Speaker 3: And whenever there's a Ukraine where they do pass out

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Speaker 3: guns to the men and say hey, if you leave

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Speaker 3: the country, we're gonna shoot you, you better go get on

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Speaker 3: the front lines and fight. Being concerned with what a

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Speaker 3: man is or what a woman is is a luxury

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Speaker 3: of extremely wealthy peacetime reality that the vast majority of

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Speaker 3: the world does not engage in this subterfuge, in this absurdity,

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Speaker 3: And I always think it just kind of brings back

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Speaker 3: home biological reality every time I see the headline, you know,

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Speaker 3: more women and children are being really certainly wont all

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Speaker 3: the Americans and all of the Israelis back healthy, but

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Speaker 3: so far it's only women and children that are being released.

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Speaker 1: But I also just just point out, Clay that we

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Speaker 1: talked about moral clarity, and I'm not saying there aren't

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Speaker 1: areas of complexity, and you can get into the historical

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Speaker 1: back and forth over Israel and Palestine and what happened

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Speaker 1: in forty eight and what happened in sixty seven, and

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Speaker 1: what happened in the Young Keeper War. And you know, sure,

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Speaker 1: there's a ton of complexity. People spend their whole lives,

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Speaker 1: but there are areas of true and critical moral clarity

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Speaker 1: that we have seen. Right, if you go in and

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Speaker 1: kill and kill fourteen hundred people because and do it

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Speaker 1: in the way that the Palestinians did civilians, you're the

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Speaker 1: bad guy. Yes, I mean, I know that we're not

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Speaker 1: supposed to think in these very straightforward terms, but we

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Speaker 1: need to think in these very straightforward terms. And I

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Speaker 1: just think of the four year old Abigail Moore e

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Speaker 1: Don who is a little four year old girl. She

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Speaker 1: holds dual US citizenship, okay, with Israeli citizenship, so she's

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Speaker 1: a US citizen and Israeli citizen. How can you not

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Speaker 1: know you're the bad guy when you're holding a four

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Speaker 1: year old girl hostage?

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Speaker 2: Do you know what I mean?

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Speaker 1: It's not possible because there are Hamas people, now, you

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Speaker 1: know people I know the Hamas apologists will say, well,

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Speaker 1: look they kept her alive, you know, as Oh we're

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Speaker 1: supposed to be thankful they didn't murder a four year

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Speaker 1: old girl after murdering a lot of children and babies before.

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Speaker 1: But it's not like this isn't this is beyond them.

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Speaker 1: They are absolutely capable and have shown us that they

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Speaker 1: are willing to engage in that level of barbarity. But

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Speaker 1: when you're taking four year old girls hostage because you

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Speaker 1: have a political gripe, you're you're the bad guy and

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Speaker 1: you need to catch a hell fire missile in the face,

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Speaker 1: that's the truth.

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Speaker 3: It's one hundred percent the truth. And also it's terrifying

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Speaker 3: how many people in America can no longer recognize that

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Speaker 3: there is good and evil and call out evil when

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Speaker 3: they see it, especially because they've been conditioned to think

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Speaker 3: that evil is somebody sharing a social media post that

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Speaker 3: they don't like. You're you're traveling this holiday season and

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Speaker 3: old has a cell phone. It is a Puretalk cell phone.

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Speaker 3: We rely on it to stay in touch with him.

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Speaker 3: You can rely on it for your family as well.

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Speaker 3: Say the keywords Clay and Buck to make the switch today,

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Speaker 5: Don't miss a day Both the Clay Travis and Buck

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Speaker 5: Sexton Show.

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Speaker 1: Third hour Clay and Buck kicks off right now, and

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Speaker 1: we wanted to survey a bit of the political landscape

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Speaker 1: as we come back from our various Thanksgiving celebrations across

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Speaker 1: the country. I hope you all had a very blessed Thanksgiving.

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Speaker 1: I had a great time up in New York with

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Speaker 1: my family up there, and this thing I discussed we

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Speaker 1: ate too much. I will say, I think the thing

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Speaker 1: that I probably overindulged in the most sweet potatoes with

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Speaker 1: marshmallow on top with Oh that's good hard that. The

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Speaker 1: problem with that is it just becomes like an everything sauce.

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Speaker 1: You can mix that in with you, mix it in

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Speaker 1: with your green beans, mix it in with your turkey.

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Speaker 1: Taste good with everything. So that was that was the

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Speaker 1: direction that I would if you what was the one thing, Clay,

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Speaker 1: You were like, I probably should put the spoon down now. I, oh,

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Speaker 1: this is this is a perfect thing.

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Speaker 2: Buck.

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Speaker 3: So I walked with my fifteen year old we were

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Speaker 3: gonna go to the gym on Thanksgiving. Before we ate

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Speaker 3: went to the gym, it was closed, so we were

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Speaker 3: walking back. Everybody else by the way, my wife was

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Speaker 3: doing the turkey trot. So they're way healthier.

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Speaker 1: They're running like the five k or the ten k

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Speaker 1: like a lot of people do all over the country.

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Speaker 2: And just tell everybody that your wife and my.

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Speaker 1: Wife get up at seven am in Florida to go

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Speaker 1: work out, and Clay and I are like texting about

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Speaker 1: you know, over coffee about what we're gonna do on

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Speaker 1: the show True to Act one hundred percent accurate, and

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Speaker 1: they're gonna live twenty five years longer than both of us.

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Speaker 2: Two.

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Speaker 3: But the So we're walking back, A fifteen year old

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Speaker 3: and I and walk past a store that's open, and

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Speaker 3: they have a woman out front who is selling her

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Speaker 3: pies right like her homemade pie, and she has three types,

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Speaker 3: pumpkin pie, and my fifteen year old Ben saying, hey,

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Speaker 3: I want to try pumpkin pie. Everything else, key lime pie,

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Speaker 3: which is kind of a Florida staple. If you had

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Speaker 3: to say one pie kind of represents state of Florida,

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Speaker 3: I think you'd say key lime. And then pecan pie,

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Speaker 3: which is my favorite. And I understand there are lots

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Speaker 3: of people out there that are either super you're all

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Speaker 3: in on pecan pie.

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Speaker 2: Or you hate it. So I bought all three.

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Speaker 3: So that morning, Buck, I went to the gym thinking

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Speaker 3: that I was going to work out. Instead, I bought

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Speaker 3: three pies and I ate all three of them substantially

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Speaker 3: at our dinner. So to answer your question, so it

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Speaker 3: just showed up with three different pies on my trip

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Speaker 3: to the gym, which probably sums up Thanksgiving, very very well.

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Speaker 3: No workout three pies instead, pumpkin pie is very delicious.

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Speaker 3: All right, let's dive into this now. Also here here

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Speaker 3: is Trump arriving because I had mentioned this in the

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Speaker 3: last hour. Here's Trump arriving at the South Caroline line

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Speaker 3: at Clemson football game play two.

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Speaker 2: About how many people?

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Speaker 1: About how many people are in that stadium just so

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Speaker 1: so Williams Bryce Stadium, which is the home of the

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Speaker 1: South Carolina game Cocks in their yearly rivalry game against Clemson.

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Speaker 1: I would say an eighty five thousand, eighty six thousand,

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Speaker 1: something like that would be the seating capacity for I'm

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Speaker 1: guessing off the top of my head. You guys can

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Speaker 1: look it up in studio, but I think it's about

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Speaker 1: eighty five or eighty six of Williams Bryce. So it's massive.

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Speaker 1: So Trump obviously getting a whole lot of love in

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Speaker 1: that stadium, and he's getting a whole lot of love

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Speaker 1: in the polls too. Still way way ahead. We got

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Speaker 1: Iowa coming up January fifteenth.

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Speaker 2: That's the thing. We're gonna have a few weeks year

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Speaker 2: to hang.

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Speaker 1: Clay's actually gonna be going on vacation, so I'll be

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Speaker 1: solo with you guys for about a week or so,

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Speaker 1: and we got our our excellent guest host, Michael Barry

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Speaker 1: will be taken over over the holiday for a little bit.

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Speaker 2: But Clay, it's it's.

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Speaker 1: We're gonna come back from the holidays and it's like,

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Speaker 1: oh my gosh, yeah, it'll be right right there. So

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Speaker 1: we really are in the final phase here before votes

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Speaker 1: are being tallied and points are being put up on

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Speaker 1: the board. Beyond just polls, right it's gonna be actual points,

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Speaker 1: actual delegates. And interestingly, you get a couple of things

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Speaker 1: happening right now. One the you know, it's it's a

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Speaker 1: three person race, as we've discussed, uh Ronda Santist, Donald Trump,

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Speaker 1: Nikki Haley, viveg Ramaswami's actually looking pretty good in some

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Speaker 1: of the Iowa polls I've seen, but we'll get back

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Speaker 1: in not for first place, but he's close with the

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Speaker 1: other two. Clay, you've got the later this week, so

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Speaker 1: I don't want to get too far ahead of it

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Speaker 1: because it'll just be on Thursday, the DeSantis Newsome debate.

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Speaker 1: I worry a little bit about how this will go.

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Speaker 1: For justsant amazing record a plus governor, but Newsom is slippery.

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Speaker 1: Newsom is smooth, he's you know, and he sees this

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Speaker 1: as an opportunity. You got that going on, and then

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Speaker 1: I wanted your take on this Wall Street Journal piece,

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Speaker 1: Nicky Haley's challenge keep anti Trump geop vote, but add

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Speaker 1: some Trump backers. They're saying she has surge and she

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Speaker 1: is really fighting hard now to be in that strong

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Speaker 1: second place behind Trump. Still way behind Trump, but second

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Speaker 1: place around the arrest of the competition.

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Speaker 3: So, by the way, Williams of Brice Stadium seventy eight

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Speaker 3: thousand ish, so a little bit off there. I've been

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Speaker 3: to a bunch of games there, fabulous place to see

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Speaker 3: a football game. And I asked the question on social

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Speaker 3: media Buck before I dive into your Nicky Haley question.

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Speaker 3: Could Joe Biden go to any sporting event in America

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Speaker 3: and get a reception like Trump did?

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Speaker 2: We played.

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Speaker 3: I think the audio of Trump at the UFC and

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Speaker 3: Madison Square Garden not like Madison Square Garden in New York,

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Speaker 3: York City is renowned as a place where Republicans are beloved.

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Speaker 3: UFC crowd goes crazy for Trump. I don't think there's

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Speaker 3: any college football stadium in America that would cheer Biden,

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Speaker 3: and there were a couple of clips of Trump getting

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Speaker 3: booed that went viral, I think because there's a desperation

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Speaker 3: on the left for some people to dislike Trump. But

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Speaker 3: I've been in the stadiums with Trump. I was at

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Speaker 3: Alabama for the LSU game. Trump is beloved all over

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Speaker 3: the South, all over the Big twelve, and most of

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Speaker 3: the ACC and I think he'd get a solid reception

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Speaker 3: in much of the Big ten and the Pac twelve even.

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Speaker 3: But the big question for me on what you were

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Speaker 3: asking as we are sitting here less than fifty days

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Speaker 3: until the Republican Caucus in Iowa.

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Speaker 2: So I just keep looking at.

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Speaker 3: This, and I think that if everybody dropped out and

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Speaker 3: it was Nicky Haley again Donald Trump, I don't see

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Speaker 3: how the math works in Nicky Haley's favor because I

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Speaker 3: think most people who dropped out. If ron DeSantis dropped

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Speaker 3: out of this race tomorrow, I think sixty five percent

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Speaker 3: of his audience would go to Donald Trump. If Vek

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Speaker 3: Ramaswami dropped out, I think eighty five or ninety percent of.

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Speaker 2: His support would go to Trump easily.

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Speaker 3: And if Christy drops out, his support would go to

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Speaker 3: probably Nicky Haley. I just don't think the math adds

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Speaker 3: up for Nicky Haley. I'm open to the idea that

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Speaker 3: DeSantis in a straight head to head against Trump could

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Speaker 3: be somewhat competitive, because I think everybody who was supporting

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Speaker 3: Nicky Haley would go to DeSantis. I think everybody who

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Speaker 3: was supporting Christy would go to DeSantis. I just tell

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Speaker 3: me where you think I'm missing here, just a simple

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Speaker 3: math equation. I think that Nicky Haley's audience is anti Trump.

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Speaker 3: I don't think that Ron DeSantis is audio any disagree there?

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Speaker 3: If she got into a head to head against Trump,

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Speaker 3: where where her support is going to come from?

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Speaker 1: No, I think that that analysis is correct on the numbers.

436
00:23:10,560 --> 00:23:14,280
Speaker 1: I think that of the people who are Ron voters

437
00:23:15,359 --> 00:23:19,240
Speaker 1: in this primary, I would guess, and this is just

438
00:23:19,280 --> 00:23:23,560
Speaker 1: a guess, but my gut feeling is, you know, ninety

439
00:23:23,600 --> 00:23:27,520
Speaker 1: some odd percent plus voted for Trump in the last election,

440
00:23:27,800 --> 00:23:29,679
Speaker 1: or have voted f him at least once, and I

441
00:23:29,720 --> 00:23:33,120
Speaker 1: think a similar number probably voted from twice. So they're

442
00:23:33,119 --> 00:23:37,000
Speaker 1: Trump voters who this time around think there's something else

443
00:23:37,000 --> 00:23:39,240
Speaker 1: that they want to do. I think what's been a surprise,

444
00:23:40,040 --> 00:23:42,040
Speaker 1: and there's been a little bit of back and forth

445
00:23:42,080 --> 00:23:44,200
Speaker 1: on social media because I tried to say this before,

446
00:23:44,760 --> 00:23:47,480
Speaker 1: and people are saying, you know that they're misconscruing what

447
00:23:47,520 --> 00:23:49,440
Speaker 1: I was saying, Clay, There's been a little bit of

448
00:23:49,440 --> 00:23:53,119
Speaker 1: a surprise that there hasn't been more of a hemorrhaging

449
00:23:53,200 --> 00:23:57,040
Speaker 1: of support from the Trump side to the dissent to

450
00:23:57,280 --> 00:23:59,920
Speaker 1: side over the last six.

451
00:23:59,720 --> 00:24:00,440
Speaker 2: Months or so.

452
00:24:00,720 --> 00:24:02,720
Speaker 1: Yeah, that the whole thing was gonna be Trump is

453
00:24:02,760 --> 00:24:04,399
Speaker 1: going to have this lead. Everyoneknew Trump is going to

454
00:24:04,480 --> 00:24:08,159
Speaker 1: have his base. But then maybe people would start to

455
00:24:08,280 --> 00:24:10,440
Speaker 1: start to siphon over and start to go into the

456
00:24:10,480 --> 00:24:14,000
Speaker 1: DeSantis camp from Trump because really they're I mean, they're

457
00:24:14,040 --> 00:24:17,240
Speaker 1: both very you know, they're both very sort of America first,

458
00:24:17,240 --> 00:24:21,080
Speaker 1: both very you know, conservative on a whole range of issues,

459
00:24:21,080 --> 00:24:25,320
Speaker 1: although Trump kind of defies political categorization in some ways.

460
00:24:25,720 --> 00:24:28,119
Speaker 1: But that hasn't really happened yet. So to your point,

461
00:24:28,119 --> 00:24:31,720
Speaker 1: the only way that this becomes a competitive race would

462
00:24:31,720 --> 00:24:34,480
Speaker 1: be a cleared field where you could see the rest

463
00:24:34,680 --> 00:24:38,800
Speaker 1: of the let's say Trump's at fifty, well, DeSantis is

464
00:24:38,800 --> 00:24:41,720
Speaker 1: at fifteen to twenty, call it the rest of the

465
00:24:41,760 --> 00:24:44,360
Speaker 1: thirty percent out standing in the GOP field. How much

466
00:24:44,359 --> 00:24:46,119
Speaker 1: of that goes to DeSantis versus how much of that

467
00:24:46,119 --> 00:24:46,760
Speaker 1: goes to Trump?

468
00:24:47,440 --> 00:24:47,720
Speaker 5: I can't.

469
00:24:47,720 --> 00:24:49,560
Speaker 1: I'll see a reality in which Nikki Hiley, just to

470
00:24:49,760 --> 00:24:52,639
Speaker 1: your point, goes head to head with Trump and wins

471
00:24:52,680 --> 00:24:53,560
Speaker 1: in any scenario.

472
00:24:53,640 --> 00:24:54,240
Speaker 2: But that's I.

473
00:24:54,200 --> 00:24:57,760
Speaker 3: Think if they were trying to win Iowa, Buck, if

474
00:24:57,760 --> 00:24:59,560
Speaker 3: you were just saying, okay, the same way that we

475
00:24:59,560 --> 00:25:04,800
Speaker 3: give and everything else, I would say that Ron DeSantis

476
00:25:05,000 --> 00:25:09,160
Speaker 3: would win Iowa. If Nicky Hayley dropped out and said,

477
00:25:09,200 --> 00:25:12,080
Speaker 3: I'm gonna be Ron de Santis's VP, and if Chris

478
00:25:12,160 --> 00:25:14,479
Speaker 3: Christie said, and I'm just tossing this out, I'm going

479
00:25:14,520 --> 00:25:17,439
Speaker 3: to be as attorney general and we're putting together a

480
00:25:17,600 --> 00:25:21,040
Speaker 3: unity candidacy to try to go after Trump. I don't

481
00:25:21,040 --> 00:25:24,440
Speaker 3: think Vivek would join that unity candidacy. I think he's

482
00:25:24,480 --> 00:25:26,840
Speaker 3: a Trump guy, and so I think he would either

483
00:25:27,080 --> 00:25:30,240
Speaker 3: throw his lot with Trump. But if you if right now,

484
00:25:30,240 --> 00:25:32,800
Speaker 3: if I were saying, okay, we're trying to win, all

485
00:25:32,840 --> 00:25:36,280
Speaker 3: we care about is winning, I think Desantus as president,

486
00:25:36,680 --> 00:25:41,560
Speaker 3: Nicky as VP, and Chris Christy as Attorney general, with

487
00:25:41,720 --> 00:25:44,920
Speaker 3: that being a sort of unity ticket on the Republican

488
00:25:45,040 --> 00:25:48,840
Speaker 3: side opposed to Trump, could give Trump an actual run,

489
00:25:49,160 --> 00:25:53,280
Speaker 3: but it would have to happen soon, like like very

490
00:25:53,320 --> 00:25:55,960
Speaker 3: soon in Iowa, and then I think it would give

491
00:25:56,000 --> 00:25:58,440
Speaker 3: him a run in New Hampshire. Otherwise, what I think

492
00:25:58,480 --> 00:26:01,200
Speaker 3: is going to happen is everybody he's gonna think, Hey,

493
00:26:01,240 --> 00:26:05,520
Speaker 3: I'm gonna be the two and instead the more the

494
00:26:05,560 --> 00:26:08,520
Speaker 3: longer people stay in, the more it benefits Trump. And

495
00:26:08,560 --> 00:26:10,840
Speaker 3: I don't think you're gonna see that kind of selflessness.

496
00:26:10,960 --> 00:26:13,159
Speaker 3: By the way, the reason why I say DeSantis president,

497
00:26:13,280 --> 00:26:15,320
Speaker 3: Nicki Haley vice president, I'm not.

498
00:26:15,280 --> 00:26:17,040
Speaker 2: Making any kind of choice between the two.

499
00:26:17,720 --> 00:26:20,240
Speaker 3: I just think DeSantis has to be at the top

500
00:26:20,240 --> 00:26:23,040
Speaker 3: of the ticket or a lot of that support would

501
00:26:23,040 --> 00:26:26,040
Speaker 3: be hemorrhaged. In a way, most Nicki Haley people are

502
00:26:26,080 --> 00:26:28,439
Speaker 3: anti Trump. They're going to vote for the Trump alternative.

503
00:26:28,720 --> 00:26:31,399
Speaker 3: Certainly that's true for Chris Christy. I still think a

504
00:26:31,440 --> 00:26:34,200
Speaker 3: lot of DeSantis people would vote for Trump if DeSantis

505
00:26:34,240 --> 00:26:35,920
Speaker 3: weren't in the race, and I think that's why it's

506
00:26:35,960 --> 00:26:38,080
Speaker 3: been so nasty between the two of them.

507
00:26:38,320 --> 00:26:44,760
Speaker 1: This also reminds me of what the discussion was a

508
00:26:44,760 --> 00:26:47,840
Speaker 1: little later than this, but back in twenty end of

509
00:26:47,840 --> 00:26:51,879
Speaker 1: twenty fifteen into twenty sixteen, and once you got going

510
00:26:52,040 --> 00:26:55,399
Speaker 1: it really turned into a three plus one race of Trump,

511
00:26:55,520 --> 00:26:58,440
Speaker 1: Rubio Cruz and then Kasik.

512
00:26:59,040 --> 00:27:01,080
Speaker 2: Yeah remember him ever? Remember him?

513
00:27:02,000 --> 00:27:02,080
Speaker 4: He?

514
00:27:02,400 --> 00:27:05,919
Speaker 1: You know, not the warmest and fuzziest guy. I'll just

515
00:27:05,960 --> 00:27:08,000
Speaker 1: say that for any of the kask fans out there,

516
00:27:08,119 --> 00:27:11,680
Speaker 1: he can be a little irascible, but he had something

517
00:27:11,720 --> 00:27:15,600
Speaker 1: like a ten percent chunk that was staying with Kasik.

518
00:27:15,640 --> 00:27:17,960
Speaker 1: And I never kept saying, look, you know, anyone who

519
00:27:17,960 --> 00:27:20,440
Speaker 1: wanted it to be not Trump was making this case

520
00:27:20,480 --> 00:27:23,920
Speaker 1: of well, you need these guys to but ultimately, what's

521
00:27:23,960 --> 00:27:25,560
Speaker 1: the inane you know, you just laid out how it

522
00:27:25,600 --> 00:27:27,760
Speaker 1: could theoretically work. I know, you don't think that's gonna happen.

523
00:27:27,760 --> 00:27:29,720
Speaker 1: I don't think that's gonna happen where you have, you know,

524
00:27:29,840 --> 00:27:31,879
Speaker 1: hand the only way I see at work, it's got

525
00:27:31,920 --> 00:27:32,840
Speaker 1: to be a unity candidate.

526
00:27:32,880 --> 00:27:35,680
Speaker 2: Yeah, this is what I mean. Yeah, but these people

527
00:27:35,680 --> 00:27:36,520
Speaker 2: don't want unity.

528
00:27:36,560 --> 00:27:38,080
Speaker 1: They want to win, and they want to be in

529
00:27:38,080 --> 00:27:39,840
Speaker 1: the spotlight, and they want to stay in it until

530
00:27:39,880 --> 00:27:42,280
Speaker 1: the very end in the way that they can. You know,

531
00:27:42,359 --> 00:27:46,359
Speaker 1: it's it's a me first situation with politicians, and so

532
00:27:46,920 --> 00:27:48,879
Speaker 1: I just don't see it. There's you know, could you

533
00:27:48,920 --> 00:27:51,640
Speaker 1: first see any way that any of them. The only

534
00:27:51,680 --> 00:27:53,440
Speaker 1: thing I could see is at some point Viveke is like,

535
00:27:53,520 --> 00:27:56,639
Speaker 1: you know what, I'm gonna be Trump's you know, Treasury secretary.

536
00:27:56,680 --> 00:27:58,719
Speaker 1: So see you guys later. I'm all team Trump all

537
00:27:58,760 --> 00:27:59,920
Speaker 1: the way. I could see that happen.

538
00:28:00,280 --> 00:28:05,320
Speaker 3: Yeah, I I what should I did think? On Wednesday,

539
00:28:05,320 --> 00:28:08,040
Speaker 3: we had Chris Christy on the show, and it seemed

540
00:28:08,200 --> 00:28:13,479
Speaker 3: like Christy was in recognition that he said, for instance,

541
00:28:13,520 --> 00:28:16,200
Speaker 3: I could support NICKI Haley Orron DeSantis, I wouldn't vote

542
00:28:16,240 --> 00:28:17,800
Speaker 3: for anybody else. And we come back, we need to

543
00:28:17,800 --> 00:28:21,360
Speaker 3: play Mitt Romney coming out and saying that he wouldn't

544
00:28:21,440 --> 00:28:24,840
Speaker 3: vote for Trump or Vivek k Raamaswami in the event

545
00:28:24,880 --> 00:28:27,199
Speaker 3: that they were the Republican nominee. I get it if

546
00:28:27,240 --> 00:28:29,600
Speaker 3: you're upset that Trump is the nominee, the fact that

547
00:28:29,640 --> 00:28:33,600
Speaker 3: you would vote for Joe Biden again, if Mitt Romney,

548
00:28:34,080 --> 00:28:35,760
Speaker 3: here's a question for you, Buck, You've been in this

549
00:28:35,880 --> 00:28:39,520
Speaker 3: game on the Republican side longer than me. Is Mitt Romney,

550
00:28:40,080 --> 00:28:44,479
Speaker 3: given that he was the Republican nominee for president, the

551
00:28:44,640 --> 00:28:51,680
Speaker 3: greatest turncoat in Republican Party history in your life.

552
00:28:50,960 --> 00:28:53,640
Speaker 2: The ultimate GOP Benedict Arnold.

553
00:28:53,640 --> 00:28:55,560
Speaker 3: You think about it, you can think about it during

554
00:28:55,600 --> 00:28:57,800
Speaker 3: a break. We'll play that audio for you when we

555
00:28:57,840 --> 00:29:02,760
Speaker 3: come back, but you haven't longer historical record of that.

556
00:29:03,000 --> 00:29:05,440
Speaker 3: I can't think of anybody to go from being the

557
00:29:05,480 --> 00:29:08,680
Speaker 3: nominee for president in twenty twelve to saying twelve years

558
00:29:08,720 --> 00:29:13,120
Speaker 3: later I would vote for Joe Biden is pretty unbelievable

559
00:29:13,160 --> 00:29:15,200
Speaker 3: to me. Yeah, and I actually have a thought about

560
00:29:15,240 --> 00:29:17,520
Speaker 3: what the impact of this will be, but let's tell

561
00:29:17,360 --> 00:29:19,160
Speaker 3: we'll dive into that here when we come back in

562
00:29:19,200 --> 00:29:21,760
Speaker 3: just a moment. If you're traveling this holiday season and

563
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564
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565
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566
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567
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568
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569
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570
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576
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577
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578
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579
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580
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581
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582
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583
00:30:24,040 --> 00:30:28,560
Speaker 5: Inspiring you to seek out the truth The Clay Travis Aid,

584
00:30:28,640 --> 00:30:29,720
Speaker 5: Buck Sexton Show.

585
00:30:38,160 --> 00:30:39,880
Speaker 2: Welcome Back, And so we had mentioned.

586
00:30:39,920 --> 00:30:45,200
Speaker 1: Later this week there will be a DeSantis Newsome debate

587
00:30:45,400 --> 00:30:49,560
Speaker 1: in Atlanta, Georgia. Our good friend Sean Hannity will be

588
00:30:50,120 --> 00:30:53,880
Speaker 1: moderating that one, which I've got to say, people might

589
00:30:53,920 --> 00:30:55,760
Speaker 1: immediately think themselves, oh wait, but if you have a

590
00:30:55,760 --> 00:30:59,640
Speaker 1: guy who's a conservative moderating, doesn't that put new simits

591
00:30:59,640 --> 00:31:00,920
Speaker 1: some kind of this advantage. First of all, I think

592
00:31:00,920 --> 00:31:02,440
Speaker 1: Sean's going to try to just do a fair debate

593
00:31:02,480 --> 00:31:04,840
Speaker 1: because it makes it a better experience. Right, Let both

594
00:31:04,880 --> 00:31:07,920
Speaker 1: sides talk and let you know just it's it is

595
00:31:07,960 --> 00:31:10,000
Speaker 1: possible to be a referee who doesn't cheat. I know

596
00:31:10,040 --> 00:31:13,320
Speaker 1: the the Democrat media think they've got to, you know,

597
00:31:13,560 --> 00:31:16,640
Speaker 1: Candy Crowley, every situation or presidential debate where they jump

598
00:31:16,680 --> 00:31:19,040
Speaker 1: in for one side, But it is possible to actually

599
00:31:19,120 --> 00:31:22,040
Speaker 1: be fair minded in these things. I don't even say this.

600
00:31:22,080 --> 00:31:25,440
Speaker 1: I thought in the last Republican debate, who was at NBC? Right,

601
00:31:25,680 --> 00:31:27,960
Speaker 1: But NBC did a pretty good job. Trump wasn't there,

602
00:31:28,000 --> 00:31:29,520
Speaker 1: so it wasn't as big of a debate as it

603
00:31:29,560 --> 00:31:31,840
Speaker 1: would have otherwise been. But I thought they did a

604
00:31:31,880 --> 00:31:34,320
Speaker 1: pretty good job in the nuts and bolts of it.

605
00:31:34,760 --> 00:31:36,920
Speaker 1: They let people speak and they kind of kept it

606
00:31:36,960 --> 00:31:37,400
Speaker 1: on track.

607
00:31:38,720 --> 00:31:39,400
Speaker 2: But here's the thing.

608
00:31:40,240 --> 00:31:42,080
Speaker 1: Newsom is setting it up, so it's it can't lose

609
00:31:42,160 --> 00:31:44,920
Speaker 1: for him because he goes into the lions. Then he

610
00:31:45,000 --> 00:31:47,920
Speaker 1: goes up against DeSantis, who his supporters, you know, Newshom's

611
00:31:47,960 --> 00:31:52,880
Speaker 1: left wing Democrat Californians are all very very anti DeSantis.

612
00:31:53,280 --> 00:31:56,280
Speaker 1: DeSantis is going to have the facts on his side,

613
00:31:57,000 --> 00:32:03,920
Speaker 1: but he isn't necessarily as adapt on stage telling stories

614
00:32:03,960 --> 00:32:06,840
Speaker 1: and emoting and those sorts of things. So Kim strassold,

615
00:32:06,880 --> 00:32:08,320
Speaker 1: you know, Kim, you ever met her brilliant. We had

616
00:32:08,360 --> 00:32:10,000
Speaker 1: her on the show, didn't we. Yeah, we shut out

617
00:32:10,040 --> 00:32:11,800
Speaker 1: most recent book. I think, yeah, I don't know her

618
00:32:11,920 --> 00:32:16,040
Speaker 1: for years. Probably my favorite Wall Street Journal columnist. You know,

619
00:32:16,080 --> 00:32:18,520
Speaker 1: there are a couple of people in that in that realm,

620
00:32:18,520 --> 00:32:20,360
Speaker 1: but she's a great, great writer with the Wall Street Journal,

621
00:32:20,400 --> 00:32:22,120
Speaker 1: very sharp mind. Here's what she had to say about it,

622
00:32:22,160 --> 00:32:22,800
Speaker 1: Play fifteen.

623
00:32:23,000 --> 00:32:25,680
Speaker 6: I mean, the upsides are incredibly obvious. He's been on

624
00:32:26,040 --> 00:32:29,200
Speaker 6: a fairly crowded debate stage within the GOP primary. This

625
00:32:29,320 --> 00:32:31,280
Speaker 6: is going to be a one on one in front

626
00:32:31,320 --> 00:32:34,000
Speaker 6: of an audience of people who want to listen to this,

627
00:32:34,080 --> 00:32:37,280
Speaker 6: and he's got the better of the issues. The risk here, though,

628
00:32:37,400 --> 00:32:41,480
Speaker 6: is that he stumbles himself. The risk is that Gavin Newsom, who,

629
00:32:41,480 --> 00:32:43,560
Speaker 6: by the way, we might not like his policies, he's

630
00:32:43,600 --> 00:32:46,040
Speaker 6: pretty good up on a stage. He can certainly he's

631
00:32:46,040 --> 00:32:50,240
Speaker 6: got a bit of a silver tongue. He could embarrass DeSantis.

632
00:32:50,600 --> 00:32:53,360
Speaker 6: He could also, you know, highlight some of the things

633
00:32:53,440 --> 00:32:57,680
Speaker 6: that potentially are causing DeSantis more problems in his own

634
00:32:57,920 --> 00:33:01,040
Speaker 6: primary situation. So, I mean, I think the biggest issue

635
00:33:01,040 --> 00:33:03,920
Speaker 6: for him is this would be an unforced error.

636
00:33:06,280 --> 00:33:09,160
Speaker 1: You know, Look, here's where this matters for right now.

637
00:33:09,200 --> 00:33:10,920
Speaker 1: And I'm just because we were talking about the primary

638
00:33:11,000 --> 00:33:14,720
Speaker 1: and the way the tectonic plates of the primary could

639
00:33:14,760 --> 00:33:18,880
Speaker 1: possibly shift, because it's been not a lot of shifting really,

640
00:33:19,120 --> 00:33:22,520
Speaker 1: Nikki Haley's gained a little ground recently. But Clay, is

641
00:33:22,560 --> 00:33:28,480
Speaker 1: this an opportunity for DeSantis on stage by exposing Newsome

642
00:33:29,000 --> 00:33:32,680
Speaker 1: and the bad Newsomian policies if that's a thing. Is

643
00:33:32,720 --> 00:33:34,840
Speaker 1: this an opportunity for Ron to move the needle in

644
00:33:34,920 --> 00:33:38,800
Speaker 1: advance of Iowa in a way that matters? Man, I

645
00:33:39,320 --> 00:33:42,400
Speaker 1: cannot wait to watch this, so let's start there. This

646
00:33:42,440 --> 00:33:44,560
Speaker 1: is Thursday night. I think Sean's going to do a

647
00:33:44,600 --> 00:33:48,280
Speaker 1: great job with it. Credit to him for bringing this together.

648
00:33:49,560 --> 00:33:54,719
Speaker 3: Ron DeSantis is right on every single fact, every single

649
00:33:54,760 --> 00:34:01,520
Speaker 3: one of them. Florida is a superior run state to California,

650
00:34:02,000 --> 00:34:05,200
Speaker 3: and that is to a large measure because Ron DeSantis

651
00:34:05,240 --> 00:34:08,560
Speaker 3: has made the right decisions and Gavin.

652
00:34:08,280 --> 00:34:12,880
Speaker 1: Newsom has made the wrong decisions. But Buck, Gavin Newsom

653
00:34:13,160 --> 00:34:19,360
Speaker 1: is the better debater, and I think he's going to

654
00:34:19,440 --> 00:34:22,920
Speaker 1: come across on television as more likable. And this is

655
00:34:22,960 --> 00:34:26,600
Speaker 1: where you've made fun of me, go out to fringe laundry.

656
00:34:27,239 --> 00:34:29,360
Speaker 1: I think Gavin Newsom and I could have a nice

657
00:34:29,680 --> 00:34:33,640
Speaker 1: rose sip some Chardonnays look out over the vineyards.

658
00:34:34,560 --> 00:34:40,000
Speaker 3: I'm telling you your wife, my wife. Women out there

659
00:34:40,440 --> 00:34:42,960
Speaker 3: are going to watch Gavin Newsom.

660
00:34:42,880 --> 00:34:45,480
Speaker 2: And he's gonna be glib, and he's gonna be.

661
00:34:47,120 --> 00:34:50,680
Speaker 3: Wrong on all the facts, but he's gonna smile a lot,

662
00:34:51,120 --> 00:34:51,560
Speaker 3: and he.

663
00:34:51,560 --> 00:34:53,960
Speaker 2: Is going to emote well. This to me would be

664
00:34:54,000 --> 00:34:54,920
Speaker 2: a perfect example.

665
00:34:54,920 --> 00:34:55,120
Speaker 1: Buck.

666
00:34:55,160 --> 00:35:00,239
Speaker 3: Remember back in the day when Nixon and JFK debated, of.

667
00:35:00,239 --> 00:35:02,719
Speaker 1: Course, and when you had the appearance on TV that

668
00:35:02,800 --> 00:35:06,359
Speaker 1: made such a big difference. Radio listener said, Nixon won

669
00:35:06,400 --> 00:35:10,200
Speaker 1: the debate. Television viewers said that JFK won the debate.

670
00:35:10,320 --> 00:35:12,160
Speaker 1: I feel like there could be a dynamic at play

671
00:35:12,239 --> 00:35:15,040
Speaker 1: very similar here. I'll make a prediction as well about this.

672
00:35:15,200 --> 00:35:22,120
Speaker 1: I think that you'll see Newsome be very respectful and

673
00:35:22,120 --> 00:35:25,800
Speaker 1: and and even even occasionally maybe a little warm towards

674
00:35:25,800 --> 00:35:29,680
Speaker 1: Sean and it's just gonna it's just gonna spit Venom

675
00:35:29,719 --> 00:35:31,799
Speaker 1: into Santis' direction, you know what I mean. So that's

676
00:35:31,800 --> 00:35:34,239
Speaker 1: that's kind of how he'll play it, you know, you know,

677
00:35:34,280 --> 00:35:36,799
Speaker 1: Sean's a very likable guy, and so he's gonna be like, oh, look,

678
00:35:36,840 --> 00:35:39,520
Speaker 1: I can be I'm reasonable America, Like I'm being so

679
00:35:39,719 --> 00:35:43,840
Speaker 1: good to Sean, but then he's just because because really

680
00:35:44,360 --> 00:35:47,680
Speaker 1: really upsets the left, you know, he really bothers them.

681
00:35:48,000 --> 00:35:51,480
Speaker 1: So there's no downside for Newsom, you know, in this scenario,

682
00:35:51,680 --> 00:35:54,160
Speaker 1: I think he sort of does a he's uh, you know,

683
00:35:54,920 --> 00:35:59,600
Speaker 1: relatively relatively cordial to Sean while he's gonna just throw

684
00:35:59,640 --> 00:36:01,479
Speaker 1: hey mans at DeSantis all day.

685
00:36:01,960 --> 00:36:04,439
Speaker 3: I like that prediction. Here's my advice that I would

686
00:36:04,480 --> 00:36:06,840
Speaker 3: give for DeSantis and his camp.

687
00:36:07,600 --> 00:36:08,120
Speaker 2: Enjoy it.

688
00:36:09,880 --> 00:36:12,800
Speaker 3: There are times on stage when I watch the debate

689
00:36:13,320 --> 00:36:18,360
Speaker 3: where DeSantis seems pain to be there. If you are

690
00:36:18,520 --> 00:36:19,640
Speaker 3: enjoying the experience.

691
00:36:19,719 --> 00:36:23,000
Speaker 1: I texted Tutor right before she hosted our show on Friday,

692
00:36:23,520 --> 00:36:25,200
Speaker 1: I said, just have a good time.

693
00:36:26,200 --> 00:36:30,319
Speaker 3: Having a good time is contagious. I think that when

694
00:36:30,400 --> 00:36:35,040
Speaker 3: DeSantis has a punch thrown at him in a debate,

695
00:36:35,640 --> 00:36:42,080
Speaker 3: he takes it very, very serious, and that seriousness translates

696
00:36:42,120 --> 00:36:47,480
Speaker 3: into discomfort on television, and it would be far better

697
00:36:47,600 --> 00:36:52,640
Speaker 3: off to laugh off whatever punches are being thrown in

698
00:36:52,760 --> 00:36:58,279
Speaker 3: your direction and just enjoy the experience. I think what

699
00:36:58,400 --> 00:37:00,840
Speaker 3: Newsom's going to do again, he's wrong on all the facts.

700
00:37:01,480 --> 00:37:03,640
Speaker 3: I think you're right. I think he'll be nice to Hannity.

701
00:37:03,960 --> 00:37:06,719
Speaker 3: I think he'll smile a lot on camera. I think

702
00:37:06,760 --> 00:37:10,600
Speaker 3: he'll look comfortable. And even when DeSantis is in there

703
00:37:10,640 --> 00:37:13,680
Speaker 3: like hitting him with body blows, I think he's going

704
00:37:13,760 --> 00:37:16,239
Speaker 3: to be a little bit like Muhammad Ali in the Ropidope, right,

705
00:37:16,239 --> 00:37:18,759
Speaker 3: He's gonna take all those punches. He's going to keep

706
00:37:18,840 --> 00:37:22,920
Speaker 3: kind of smiling and keep his comportment most people. Most

707
00:37:22,920 --> 00:37:25,080
Speaker 3: people don't react. And this is something that I think

708
00:37:25,320 --> 00:37:27,920
Speaker 3: is frustrating to many people who and I'm one of them,

709
00:37:28,000 --> 00:37:31,799
Speaker 3: care about facts. Most people react more to body language

710
00:37:31,840 --> 00:37:36,000
Speaker 3: and facial expression than they do to what's actually said.

711
00:37:36,640 --> 00:37:39,359
Speaker 3: Buck And I think I used to do this when

712
00:37:39,400 --> 00:37:42,400
Speaker 3: I did early morning television. I would watch television. I

713
00:37:42,440 --> 00:37:45,880
Speaker 3: know we sometimes have televisions on. Now I'm convinced you

714
00:37:45,960 --> 00:37:48,279
Speaker 3: can tell who's good at television. I think Roger Ale

715
00:37:48,400 --> 00:37:51,760
Speaker 3: said the same thing Formula who ran Fox News without

716
00:37:51,800 --> 00:37:53,640
Speaker 3: a word even being said on television.

717
00:37:53,760 --> 00:37:56,480
Speaker 2: Oh you can without the volume on?

718
00:37:56,560 --> 00:37:59,960
Speaker 3: Yes, Yes, you can tell by body language, by expression,

719
00:38:00,120 --> 00:38:04,880
Speaker 3: by facial remarks. You know by whether you like someone

720
00:38:05,000 --> 00:38:08,479
Speaker 3: or not without them saying a word. And I think

721
00:38:08,520 --> 00:38:14,320
Speaker 3: DeSantis has still not mastered the non emotive aspects of debate.

722
00:38:14,640 --> 00:38:16,279
Speaker 2: Does that make sense? Yeah?

723
00:38:16,320 --> 00:38:18,719
Speaker 1: I saw him debate Charlie christ who can you were

724
00:38:18,719 --> 00:38:24,800
Speaker 1: there in person? Just the most uh oleaginous yes characters?

725
00:38:24,920 --> 00:38:27,880
Speaker 2: Yes, why thank you? And you know he.

726
00:38:29,400 --> 00:38:30,800
Speaker 1: Rom is right on all the facts. I mean, this

727
00:38:30,880 --> 00:38:34,440
Speaker 1: is the thing I feel like what you've seen from

728
00:38:34,520 --> 00:38:38,319
Speaker 1: Ron on debate stage is he's kind of standing there like, hey, guys, scoreboard,

729
00:38:38,800 --> 00:38:41,400
Speaker 1: and the scoreboard for him as governor of Florida looks

730
00:38:41,520 --> 00:38:44,680
Speaker 1: looks phenomenal. I mean, that's my assessment. And obviously the

731
00:38:44,760 --> 00:38:48,040
Speaker 1: numbers of people moving to Florida speaks to that. He's

732
00:38:48,040 --> 00:38:50,879
Speaker 1: got a lot of again scoreboard, right, I mean, there's

733
00:38:50,920 --> 00:38:53,319
Speaker 1: what he's done, and there's how people have reacted to that,

734
00:38:53,440 --> 00:38:57,320
Speaker 1: and all of that data is very supportive of supportive

735
00:38:57,320 --> 00:39:02,640
Speaker 1: of him as governor. Meanwhile, California is hemorrhaging people and

736
00:39:02,680 --> 00:39:05,239
Speaker 1: got all these problems, and it's cities or you know,

737
00:39:05,400 --> 00:39:07,719
Speaker 1: you know, if you don't hear about like crime overtaking

738
00:39:07,760 --> 00:39:10,359
Speaker 1: the cities in the state of Florida, there's reasons for that.

739
00:39:10,400 --> 00:39:13,040
Speaker 1: You do hear about it in San Francisco and La

740
00:39:12,520 --> 00:39:16,520
Speaker 1: and and and what you have Clay is somehow the

741
00:39:16,640 --> 00:39:20,480
Speaker 1: Democrat next up at bat if you will after Biden,

742
00:39:20,640 --> 00:39:23,160
Speaker 1: seems to be Gavin Newsom right the next time around,

743
00:39:23,239 --> 00:39:26,520
Speaker 1: if not justund the next time despite the data being

744
00:39:26,560 --> 00:39:30,560
Speaker 1: against him. And Ron DeSantis is running into serious headwinds

745
00:39:30,560 --> 00:39:33,000
Speaker 1: even in his own party in some ways with all

746
00:39:33,040 --> 00:39:35,640
Speaker 1: these great numbers, and I feel like this is indicative

747
00:39:35,680 --> 00:39:38,239
Speaker 1: of where the parties are right now, Like ourside gets

748
00:39:38,280 --> 00:39:41,680
Speaker 1: great results but doesn't put on a great show. Yes, well,

749
00:39:41,719 --> 00:39:44,440
Speaker 1: Trump puts on a great show. No, no, this is Trump

750
00:39:44,480 --> 00:39:46,960
Speaker 1: is the exception that Trump makes it all fun. Trump

751
00:39:47,000 --> 00:39:49,799
Speaker 1: makes it all entertainment, which is a that's part of

752
00:39:49,840 --> 00:39:51,839
Speaker 1: the sort of magic of the trump Ism.

753
00:39:52,640 --> 00:39:54,840
Speaker 3: I think there's a lot of analogies you can draw

754
00:39:55,040 --> 00:39:59,080
Speaker 3: that also apply in your business, not your personally, but

755
00:39:59,080 --> 00:40:03,560
Speaker 3: everybody out there. List there are often times if you're

756
00:40:03,600 --> 00:40:08,480
Speaker 3: on the car sales lot or you're at whatever business

757
00:40:08,480 --> 00:40:11,960
Speaker 3: that you're in, for instance, there's a guy who doesn't

758
00:40:12,000 --> 00:40:16,320
Speaker 3: post the numbers but is very likable that keeps getting promoted.

759
00:40:16,960 --> 00:40:19,279
Speaker 3: And then there's the guy who is like crunching the

760
00:40:19,360 --> 00:40:22,520
Speaker 3: numbers and he's there all the time, but he doesn't

761
00:40:22,560 --> 00:40:26,839
Speaker 3: have the same interpersonal skills and he's not getting rewarded

762
00:40:26,920 --> 00:40:28,080
Speaker 3: for the work.

763
00:40:27,840 --> 00:40:31,280
Speaker 2: That he's putting in. I feel like DeSantis.

764
00:40:30,719 --> 00:40:36,239
Speaker 3: Is the grinder and Newsom is the glib you know,

765
00:40:37,000 --> 00:40:40,279
Speaker 3: shaking hands, kissing babies expert, and what you would like

766
00:40:40,360 --> 00:40:44,600
Speaker 3: to have is that twin together. But Newsom is gonna

767
00:40:44,600 --> 00:40:47,640
Speaker 3: glide by despite the fact that he actually sucks at

768
00:40:47,640 --> 00:40:51,319
Speaker 3: his job, because he seems confident and seems to be

769
00:40:51,360 --> 00:40:54,600
Speaker 3: having a good time. And meanwhile, Ron DeSantis is like there,

770
00:40:54,680 --> 00:40:58,279
Speaker 3: you know, like typing away madly on his laptop, like

771
00:40:58,320 --> 00:41:00,640
Speaker 3: making sure that the numbers line up, doing all the

772
00:41:00,680 --> 00:41:05,600
Speaker 3: hard work, but he actually seems pained at times during

773
00:41:05,640 --> 00:41:09,920
Speaker 3: the debate by the entire process. And it doesn't resonate

774
00:41:09,960 --> 00:41:12,720
Speaker 3: on television, which is again why I think that radio

775
00:41:12,840 --> 00:41:15,759
Speaker 3: TV analogy would be so interesting. There's a reason why

776
00:41:15,760 --> 00:41:17,799
Speaker 3: they say people have faces for radio, and I hope

777
00:41:17,800 --> 00:41:20,239
Speaker 3: we're exceptions at least on some level, but maybe we're not.

778
00:41:20,719 --> 00:41:24,160
Speaker 3: But television people are almost always pretty good looking because

779
00:41:24,239 --> 00:41:26,880
Speaker 3: so much of it is cosmetic, and I feel like

780
00:41:26,960 --> 00:41:29,640
Speaker 3: Newsom is better at the cosmetic when really all of

781
00:41:29,719 --> 00:41:32,920
Speaker 3: us should care about the nitty gritty. Huge percentages of

782
00:41:32,920 --> 00:41:35,840
Speaker 3: people care way more about the cosmetic than the nitty gritty,

783
00:41:38,160 --> 00:41:40,920
Speaker 3: And that is why I think I would have to

784
00:41:40,920 --> 00:41:43,840
Speaker 3: make Gavin Newsom a favorite going into this debate against

785
00:41:43,880 --> 00:41:47,480
Speaker 3: Ronda Santis, even though he's wrong and has made awful

786
00:41:47,480 --> 00:41:51,359
Speaker 3: decisions on everything. You know what, everybody needs buck more

787
00:41:51,440 --> 00:41:56,080
Speaker 3: testosterone in their life. Everybody out there needs to embrace

788
00:41:56,480 --> 00:41:58,640
Speaker 3: a little bit of toxic masculinity.

789
00:41:58,680 --> 00:42:01,520
Speaker 2: You know what, toxic masculine. He needs more testosterone.

790
00:42:01,520 --> 00:42:03,680
Speaker 1: We're down fifty percent, and I buy into the idea

791
00:42:03,680 --> 00:42:07,600
Speaker 1: of toxic masculinity. We need more masculinity, period, and masculinity

792
00:42:07,640 --> 00:42:09,600
Speaker 1: is often defined by testosterone.

793
00:42:09,640 --> 00:42:10,040
Speaker 2: Did you know?

794
00:42:11,200 --> 00:42:14,399
Speaker 3: You me, everybody out there, we have fifty percent less

795
00:42:14,400 --> 00:42:18,560
Speaker 3: testosterone in our bodies than our grandfathers and great grandfathers did.

796
00:42:18,600 --> 00:42:19,040
Speaker 2: That's not good.

797
00:42:19,080 --> 00:42:21,120
Speaker 3: They can't even figure out exactly why it's going on.

798
00:42:21,600 --> 00:42:23,960
Speaker 3: And as you age at the testosterone level in your

799
00:42:23,960 --> 00:42:27,200
Speaker 3: blood declines. That's one reason why you have less energy,

800
00:42:27,320 --> 00:42:31,640
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801
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804
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805
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806
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807
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Speaker 5: Use the new Clay at fuck Ass. Listen to the

821
00:43:35,920 --> 00:43:38,719
Speaker 5: program live. Catch up on any part of the show

822
00:43:38,760 --> 00:43:41,800
Speaker 5: you might have missed. Use your CNB twenty four to

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Speaker 5: it part of your day.

826
00:43:57,440 --> 00:44:00,880
Speaker 3: Welcome back in now number two Clay Travis Bucks Exton Show.

827
00:44:01,000 --> 00:44:03,160
Speaker 3: We appreciate all of you. Thanks, by the way to

828
00:44:03,200 --> 00:44:06,800
Speaker 3: Tutor Dixon who set in for both of us on Friday.

829
00:44:07,520 --> 00:44:08,279
Speaker 2: You enjoyed her.

830
00:44:08,360 --> 00:44:10,479
Speaker 3: You should go sign up for sure for the Clay

831
00:44:10,520 --> 00:44:13,480
Speaker 3: Travis Buck Sexton Podcast. You'll get Tutor Dixon, you'll get

832
00:44:13,480 --> 00:44:18,319
Speaker 3: Carol Marco. It's many other shows coming your way as well,

833
00:44:18,400 --> 00:44:22,120
Speaker 3: particularly now that we will hit December this week and

834
00:44:22,160 --> 00:44:25,960
Speaker 3: we are in the midst of what should be a

835
00:44:26,040 --> 00:44:30,200
Speaker 3: hopefully very fun and exciting holiday season for many of you,

836
00:44:30,239 --> 00:44:32,000
Speaker 3: and we'd like for you to be able to take

837
00:44:32,239 --> 00:44:36,040
Speaker 3: us with you wherever you are across the country. So

838
00:44:36,080 --> 00:44:39,600
Speaker 3: search out Clay Travis, search out Buck Sexton. Boom go subscribe.

839
00:44:39,640 --> 00:44:41,879
Speaker 3: You will be glad that you did. You can take

840
00:44:41,960 --> 00:44:43,800
Speaker 3: us with you no matter where you are, and you

841
00:44:43,880 --> 00:44:48,600
Speaker 3: might be on long drives like I was yesterday, lots

842
00:44:48,600 --> 00:44:51,520
Speaker 3: of plane travel, Buck flying all over the place. Busiest

843
00:44:51,560 --> 00:44:57,600
Speaker 3: day I think for travel ever, potentially on Sunday. But Buck,

844
00:44:57,640 --> 00:45:00,400
Speaker 3: I wanted to hit this. You know, there's this Spider

845
00:45:00,440 --> 00:45:04,520
Speaker 3: Man meme where Spider Man is all like pointing at

846
00:45:04,520 --> 00:45:08,359
Speaker 3: each spider man, and I've seen it shared now this

847
00:45:08,520 --> 00:45:11,480
Speaker 3: fall and into the winter because a lot of you

848
00:45:11,480 --> 00:45:14,360
Speaker 3: you get sick. Is it the cold, is it the flu?

849
00:45:14,680 --> 00:45:20,000
Speaker 3: Is it RSV? Is it COVID? Nobody really knows. It's

850
00:45:20,120 --> 00:45:22,400
Speaker 3: just kind of all into a mix. And obviously if

851
00:45:22,440 --> 00:45:26,080
Speaker 3: you have the opportunity and you're sick, you shouldn't go

852
00:45:26,200 --> 00:45:29,200
Speaker 3: to work. You know, like we basically had as the

853
00:45:29,239 --> 00:45:32,920
Speaker 3: precedent in place for a long time, and I knew

854
00:45:32,920 --> 00:45:35,239
Speaker 3: that things were getting back to normal, even in the

855
00:45:35,280 --> 00:45:39,400
Speaker 3: world of sports, when suddenly Patrick Mahomes, the star quarterback

856
00:45:39,440 --> 00:45:42,279
Speaker 3: for the Kansas City Chiefs, got the flu and just

857
00:45:42,400 --> 00:45:45,080
Speaker 3: played and buck. Even though you didn't watch any of

858
00:45:45,120 --> 00:45:49,040
Speaker 3: the NFL football games over or college football games over

859
00:45:49,040 --> 00:45:52,600
Speaker 3: the weekend, I'm sure you remember the Jordan flu game

860
00:45:52,960 --> 00:45:56,200
Speaker 3: and how it was considered to be a sign of

861
00:45:56,239 --> 00:45:59,719
Speaker 3: Michael Jordan's commitment to his sport that he didn't sit

862
00:45:59,760 --> 00:46:02,359
Speaker 3: out that he won. Sorry for bringing that up, Utah

863
00:46:02,480 --> 00:46:04,560
Speaker 3: Jazz fans. I know we're number one in Salt Lake City,

864
00:46:04,560 --> 00:46:08,040
Speaker 3: and I apologize for ruining your Monday like this. But

865
00:46:08,120 --> 00:46:10,880
Speaker 3: now where you just kind of cycled back around to, well,

866
00:46:10,960 --> 00:46:13,560
Speaker 3: it's actually good if you're an athlete and you're sick

867
00:46:13,600 --> 00:46:16,760
Speaker 3: and you're willing to go play. After if you tested

868
00:46:16,800 --> 00:46:18,879
Speaker 3: positive for COVID, which a ton of these guys never

869
00:46:18,920 --> 00:46:21,120
Speaker 3: even knew they had, it was like, oh my goodness,

870
00:46:21,200 --> 00:46:23,160
Speaker 3: you got to go quarantine for two weeks, and we

871
00:46:23,200 --> 00:46:25,640
Speaker 3: got to cancel games, and we got to cancel seasons.

872
00:46:26,400 --> 00:46:29,680
Speaker 3: And it's not just sports where everything suddenly is back

873
00:46:29,719 --> 00:46:32,480
Speaker 3: to normal with no consequences.

874
00:46:32,480 --> 00:46:33,960
Speaker 2: By the way, all of.

875
00:46:33,920 --> 00:46:36,840
Speaker 3: The people who screamed you can't play high school sports

876
00:46:36,880 --> 00:46:39,880
Speaker 3: in the fall of twenty twenty, all the people who

877
00:46:39,960 --> 00:46:42,640
Speaker 3: make kids go home, all the people who tried to

878
00:46:42,680 --> 00:46:46,400
Speaker 3: cancel every sporting event, they just went right back to

879
00:46:46,520 --> 00:46:50,640
Speaker 3: covering them like none of this ever happened. Nobody criticizes

880
00:46:50,719 --> 00:46:53,960
Speaker 3: Patrick Mahomes after if you didn't get the COVID shot,

881
00:46:54,040 --> 00:46:56,680
Speaker 3: like you were Aaron Rodgers or Kyrie Irving or whoever

882
00:46:56,719 --> 00:47:00,160
Speaker 3: it was, you got ripped to the high heavens. So

883
00:47:00,239 --> 00:47:03,320
Speaker 3: this morning, Buck, there's a graphic in the Wall Street Journal,

884
00:47:03,360 --> 00:47:05,040
Speaker 3: and I think you've already seen it because I was

885
00:47:05,080 --> 00:47:07,640
Speaker 3: going to quiz you on it. I tweeted this out.

886
00:47:07,680 --> 00:47:11,280
Speaker 3: It'll be up on clayanbuck dot com if you're curious Buck,

887
00:47:11,440 --> 00:47:15,799
Speaker 3: how much did you hear from MSNBCCNN, Joe Biden, many

888
00:47:15,840 --> 00:47:21,239
Speaker 3: different Democrats for years they ridiculed and said basically, you

889
00:47:21,280 --> 00:47:22,839
Speaker 3: would die, that you were going to be a part

890
00:47:22,840 --> 00:47:25,680
Speaker 3: of Winner of Death if you didn't get the COVID shot.

891
00:47:25,920 --> 00:47:28,280
Speaker 3: By the way, more studies coming out that natural immuni

892
00:47:28,400 --> 00:47:33,399
Speaker 3: far better as we all thought it would be than

893
00:47:33,560 --> 00:47:36,239
Speaker 3: any shot that you could have gotten for COVID. But

894
00:47:36,320 --> 00:47:39,120
Speaker 3: it's like that's vanished, and now the new version of

895
00:47:39,160 --> 00:47:44,360
Speaker 3: the COVID booster is out. This is a crazy stat.

896
00:47:44,400 --> 00:47:50,080
Speaker 3: Four percent of American children, that is, ages six month

897
00:47:50,280 --> 00:47:56,000
Speaker 3: to eighteen years old are getting the COVID shot. Four percent. Now,

898
00:47:56,000 --> 00:47:57,440
Speaker 3: maybe that'll increase a little bit.

899
00:47:57,480 --> 00:47:57,680
Speaker 2: Buck.

900
00:47:57,719 --> 00:48:01,000
Speaker 3: This is a graphic from today's Wall Street Journal. Definitely

901
00:48:01,040 --> 00:48:06,319
Speaker 3: not going above ten percent. What does it say that

902
00:48:06,719 --> 00:48:10,120
Speaker 3: almost every parent out there with young children? And I actually,

903
00:48:10,160 --> 00:48:14,239
Speaker 3: to her credit, the vek Ramaswami's wife a Puva, I

904
00:48:14,280 --> 00:48:16,239
Speaker 3: think I might have just mispronounced her first name.

905
00:48:16,280 --> 00:48:16,960
Speaker 2: Apologies.

906
00:48:17,760 --> 00:48:20,880
Speaker 3: The New York Times tried to come after her because

907
00:48:20,920 --> 00:48:22,640
Speaker 3: she did not get I think they have a one

908
00:48:22,719 --> 00:48:25,440
Speaker 3: year old and a three year old roughly at those ages.

909
00:48:25,880 --> 00:48:29,239
Speaker 3: She said publicly, we did not. She's a doctor, she said,

910
00:48:29,560 --> 00:48:32,200
Speaker 3: a real doctor, not like doctor Jill Biden, an actual

911
00:48:32,280 --> 00:48:33,080
Speaker 3: medical doctor.

912
00:48:33,400 --> 00:48:33,759
Speaker 2: She said.

913
00:48:33,760 --> 00:48:35,480
Speaker 3: They didn't get the COVID shot for the one in

914
00:48:35,560 --> 00:48:37,279
Speaker 3: the three year old, and the New York Times tried

915
00:48:37,320 --> 00:48:40,840
Speaker 3: to come after her. But actually she's doing what almost

916
00:48:40,880 --> 00:48:44,080
Speaker 3: every parent nationwide is doing. You don't have kids yet, Buck,

917
00:48:44,120 --> 00:48:47,040
Speaker 3: but what does it say to you that ninety six

918
00:48:47,120 --> 00:48:49,680
Speaker 3: percent of parents, according to this morning's graphic in the

919
00:48:49,680 --> 00:48:52,400
Speaker 3: Wall Street Journal, are saying no to the COVID shot.

920
00:48:53,680 --> 00:48:59,239
Speaker 1: That reality has finally won and the mass delusion of

921
00:49:00,320 --> 00:49:01,239
Speaker 1: the Faucism.

922
00:49:01,320 --> 00:49:04,240
Speaker 2: You don't see him a lot these days, the fouc

923
00:49:04,480 --> 00:49:06,680
Speaker 2: He's not making the rounds on TV.

924
00:49:07,600 --> 00:49:11,839
Speaker 1: Clearly the Biden administration no longer thinks that doctor Fauci

925
00:49:12,239 --> 00:49:16,359
Speaker 1: is a useful tool in their propaganda, because he's been

926
00:49:16,520 --> 00:49:18,840
Speaker 1: very quiet. As we're going into we're in the middle

927
00:49:18,880 --> 00:49:22,600
Speaker 1: of right now, what should be the season of all

928
00:49:22,640 --> 00:49:25,680
Speaker 1: these different you know, infections that.

929
00:49:25,640 --> 00:49:27,720
Speaker 2: People get, flu, colds, et cetera.

930
00:49:28,120 --> 00:49:29,920
Speaker 1: I'm sure you saw over the weekend there was a

931
00:49:29,920 --> 00:49:35,279
Speaker 1: lot of I think, you know, fear mongering headlines at

932
00:49:35,280 --> 00:49:37,840
Speaker 1: this point about a new form of pneumonia in China.

933
00:49:38,320 --> 00:49:40,160
Speaker 1: I mean The fastest way to get everyone to click

934
00:49:40,200 --> 00:49:43,239
Speaker 1: on something now is say there's a new virus in China. Obviously,

935
00:49:43,760 --> 00:49:46,520
Speaker 1: and the Chinese government, not that I believe the Chinese government,

936
00:49:46,520 --> 00:49:49,799
Speaker 1: but so far they're saying that this is really just

937
00:49:49,840 --> 00:49:53,960
Speaker 1: a function of a lot of different viruses hitting at once,

938
00:49:54,080 --> 00:49:59,560
Speaker 1: you know, flu, covid, RSV, and yeah, and you know what,

939
00:49:59,800 --> 00:50:03,200
Speaker 1: like people in this country aren't panicking even with headlines

940
00:50:03,320 --> 00:50:04,799
Speaker 1: like that the way they would have I think even

941
00:50:04,840 --> 00:50:07,560
Speaker 1: a year ago, Clay, I mean, the failure of the

942
00:50:07,560 --> 00:50:11,759
Speaker 1: medical establishment on this is I think it's going to

943
00:50:11,800 --> 00:50:15,640
Speaker 1: be a multi generational period of recognition where people it's

944
00:50:15,640 --> 00:50:17,280
Speaker 1: going to take time for people to recognize.

945
00:50:17,320 --> 00:50:19,200
Speaker 2: It's going to take decades for.

946
00:50:19,200 --> 00:50:21,640
Speaker 1: There to be retrospectives where those who want to find

947
00:50:21,640 --> 00:50:24,279
Speaker 1: the truth can see that this was a massive and

948
00:50:24,360 --> 00:50:27,920
Speaker 1: dramatic failure and that the parents right now not getting

949
00:50:27,920 --> 00:50:31,000
Speaker 1: the shots for their kids realize that obviously otherwise they'd

950
00:50:31,000 --> 00:50:32,400
Speaker 1: be getting the shots for their children.

951
00:50:32,440 --> 00:50:34,400
Speaker 2: So a natural.

952
00:50:34,080 --> 00:50:38,920
Speaker 1: Immunity being excluded from the equation because it ran contrad

953
00:50:38,960 --> 00:50:41,360
Speaker 1: to the Fauci narrative just goes to show you that

954
00:50:41,400 --> 00:50:47,000
Speaker 1: they were willing to not only distort but Negate. You

955
00:50:47,080 --> 00:50:48,600
Speaker 1: know a couple of hundred years of science. I mean,

956
00:50:48,800 --> 00:50:53,000
Speaker 1: the entire inoculation idea is based on natural immunity, and

957
00:50:53,000 --> 00:50:53,719
Speaker 1: they acted.

958
00:50:53,440 --> 00:50:54,439
Speaker 2: Like there was no such thing.

959
00:50:55,680 --> 00:50:58,479
Speaker 3: Ten percent, by the way, only ten percent of those

960
00:50:58,520 --> 00:51:00,520
Speaker 3: eighteen and up. And I would build on that a

961
00:51:00,520 --> 00:51:01,160
Speaker 3: little bit more.

962
00:51:01,160 --> 00:51:01,440
Speaker 2: Buck.

963
00:51:01,920 --> 00:51:04,759
Speaker 3: The data now reflects that many parents are choosing not

964
00:51:04,920 --> 00:51:09,040
Speaker 3: to get their kids vaccinated with the traditional vaccines. And

965
00:51:09,080 --> 00:51:11,480
Speaker 3: this is what you just hit on. There is a

966
00:51:11,600 --> 00:51:15,520
Speaker 3: major public health confidence crisis in this country because a

967
00:51:15,560 --> 00:51:18,239
Speaker 3: lot of parents out there said, wait a minute, if

968
00:51:18,280 --> 00:51:22,799
Speaker 3: the CDC was wrong about COVID and the shots and

969
00:51:22,840 --> 00:51:25,600
Speaker 3: how much it was going to protect my kids, why

970
00:51:25,600 --> 00:51:29,239
Speaker 3: would I trust them on other shots. That's one significant

971
00:51:29,280 --> 00:51:34,320
Speaker 3: consequence of this. It's actually leading to a major decline

972
00:51:34,360 --> 00:51:37,360
Speaker 3: in the number of kids that are getting their natural

973
00:51:37,960 --> 00:51:41,160
Speaker 3: traditional immunity shots, which, by the way, I got for

974
00:51:41,280 --> 00:51:43,680
Speaker 3: my kids back in the day when they were young,

975
00:51:44,120 --> 00:51:46,640
Speaker 3: and I would still do that again. But I'm going

976
00:51:46,680 --> 00:51:49,480
Speaker 3: to be honest with you, I never had a pinprick

977
00:51:49,520 --> 00:51:52,360
Speaker 3: of doubt before. I never paid attention to RFK Junior

978
00:51:52,440 --> 00:51:55,240
Speaker 3: or anybody else talking about vaccine side effects and children.

979
00:51:55,320 --> 00:51:57,879
Speaker 3: I just didn't pay attention to it. I'm way more

980
00:51:57,960 --> 00:52:00,560
Speaker 3: open to paying attention to that now in the wake

981
00:52:00,600 --> 00:52:03,359
Speaker 3: of COVID. And there's also a story and I don't

982
00:52:03,400 --> 00:52:04,960
Speaker 3: know if this was in the New York Times or

983
00:52:05,040 --> 00:52:07,319
Speaker 3: the Wall Street Journal. I read it over the weekend, Buck,

984
00:52:07,840 --> 00:52:13,160
Speaker 3: but because of COVID shutdowns, tens of millions of kids

985
00:52:13,160 --> 00:52:18,040
Speaker 3: in Africa did not get their malaria shots and their

986
00:52:18,080 --> 00:52:20,759
Speaker 3: TV shots and all those things that would ordinarily have

987
00:52:20,880 --> 00:52:24,400
Speaker 3: happened for young children in Africa. And they're now saying

988
00:52:24,640 --> 00:52:28,560
Speaker 3: hundreds of thousands of kids are going to die in

989
00:52:28,600 --> 00:52:32,160
Speaker 3: those countries of diseases they would have otherwise gotten the

990
00:52:32,200 --> 00:52:36,200
Speaker 3: shot for so our inability to comprehend. And that doesn't

991
00:52:36,239 --> 00:52:39,520
Speaker 3: even get into what they're talking about now, as trillions

992
00:52:39,520 --> 00:52:43,360
Speaker 3: of dollars in lost educational opportunities, primarily for the poorest

993
00:52:43,440 --> 00:52:46,120
Speaker 3: kids among us. The fact that we did it in

994
00:52:46,200 --> 00:52:49,600
Speaker 3: any way as a nation, have a public policy perspective

995
00:52:49,640 --> 00:52:53,240
Speaker 3: that understood that we couldn't just exclusively focus on COVID

996
00:52:54,000 --> 00:52:56,800
Speaker 3: is again. I think it's the greatest public policy failure

997
00:52:57,239 --> 00:53:00,000
Speaker 3: of your and mind's life, and anybody who was born

998
00:53:00,080 --> 00:53:01,520
Speaker 3: in post Vietnam.

999
00:53:01,320 --> 00:53:03,800
Speaker 1: If you go back and look at the CDC and

1000
00:53:03,920 --> 00:53:09,840
Speaker 1: i H archives, Burk's and Fauci were involved in the

1001
00:53:10,040 --> 00:53:17,040
Speaker 1: massive overestimation of HIV contraction risk for for some groups.

1002
00:53:17,640 --> 00:53:20,200
Speaker 1: Some groups are at a at a considerable risk of

1003
00:53:20,360 --> 00:53:24,760
Speaker 1: HIV transmission and contraction in this country, and some groups

1004
00:53:24,800 --> 00:53:27,880
Speaker 1: are not. And so you know, I remember we were,

1005
00:53:27,960 --> 00:53:29,719
Speaker 1: you know, health class when I was in school and everything.

1006
00:53:29,760 --> 00:53:31,600
Speaker 1: Oh my gosh, you gotta be careful. You know, they

1007
00:53:31,640 --> 00:53:34,000
Speaker 1: made they made it seem like, you know, watch out,

1008
00:53:34,080 --> 00:53:36,760
Speaker 1: you know your your your you know your college sweetheart

1009
00:53:36,800 --> 00:53:38,879
Speaker 1: that you marry. You guys better both get HIV test

1010
00:53:38,920 --> 00:53:42,239
Speaker 1: because you never know. I mean, this is crazy talk,

1011
00:53:43,360 --> 00:53:44,799
Speaker 1: but that was what they were doing. I mean, they're

1012
00:53:44,840 --> 00:53:46,880
Speaker 1: and there some people believe that I actually actually overest

1013
00:53:47,160 --> 00:53:50,640
Speaker 1: and overestimated those risks for the general population because they

1014
00:53:50,680 --> 00:53:53,719
Speaker 1: wanted additional funding for the research. Now you could say

1015
00:53:53,760 --> 00:53:56,200
Speaker 1: that that's a worthy of course, a worthy goal, but

1016
00:53:56,320 --> 00:53:58,759
Speaker 1: you shouldn't be lying to people to make pub make

1017
00:53:58,800 --> 00:54:01,239
Speaker 1: a public health case. Fauci and Burks were involved in

1018
00:54:01,280 --> 00:54:03,240
Speaker 1: that too, So we shouldn't be surprised at all they weren't.

1019
00:54:03,440 --> 00:54:05,800
Speaker 1: There was no accountability for that for a lot of

1020
00:54:05,800 --> 00:54:08,919
Speaker 1: the scare mongering around that there was no accountability for

1021
00:54:09,400 --> 00:54:12,399
Speaker 1: and you know, looking at data and risk and being realistic. Yeah,

1022
00:54:12,400 --> 00:54:15,000
Speaker 1: if you're an intervenous drug user, or you know you

1023
00:54:15,080 --> 00:54:17,640
Speaker 1: have many, many, many sexual partners in certain communities, you

1024
00:54:17,680 --> 00:54:20,279
Speaker 1: were at considerable risk. No, they told everybody that you

1025
00:54:20,320 --> 00:54:23,759
Speaker 1: have you know, Clay, it was I mean for a

1026
00:54:23,800 --> 00:54:25,759
Speaker 1: while they were advocating when I was in college that

1027
00:54:25,800 --> 00:54:28,120
Speaker 1: people who get like through the Student Health Service, everyone

1028
00:54:28,160 --> 00:54:29,560
Speaker 1: get tested for HIV every year.

1029
00:54:29,640 --> 00:54:33,279
Speaker 3: Yeah, they terrified all of us. I actually went and

1030
00:54:33,280 --> 00:54:35,200
Speaker 3: did my own research on that. I know, you're never

1031
00:54:35,200 --> 00:54:37,399
Speaker 3: supposed to do your own research. This was the case

1032
00:54:37,440 --> 00:54:39,400
Speaker 3: when I was in college because I was curious. Do

1033
00:54:39,440 --> 00:54:41,080
Speaker 3: you know you may you may have done the research.

1034
00:54:41,120 --> 00:54:43,480
Speaker 3: You may know yourself. Do you know what the odds

1035
00:54:43,520 --> 00:54:46,799
Speaker 3: were that you got HIV if you were a man

1036
00:54:47,040 --> 00:54:51,280
Speaker 3: and you had sex, unprotected sex within HIV positive woman,

1037
00:54:51,640 --> 00:54:53,440
Speaker 3: Do you know what the odds that you would get I.

1038
00:54:53,400 --> 00:54:55,839
Speaker 1: Know that it's per per sexual act less than one

1039
00:54:55,880 --> 00:54:58,480
Speaker 1: percent chance. Yeah, one in four hundred.

1040
00:54:59,080 --> 00:54:59,279
Speaker 4: Yeah.

1041
00:54:59,360 --> 00:55:03,360
Speaker 3: They basically taught us, if you have unprotected sex, you

1042
00:55:03,400 --> 00:55:05,440
Speaker 3: have a good chance of dying of HIV. I mean

1043
00:55:05,440 --> 00:55:08,040
Speaker 3: that that was how much I used to joke about

1044
00:55:08,040 --> 00:55:11,240
Speaker 3: it at at my high school, we had an AIDS

1045
00:55:11,280 --> 00:55:15,200
Speaker 3: assembly it felt like every week where they told us, hey,

1046
00:55:15,800 --> 00:55:18,560
Speaker 3: you're gonna get AIDS and you're gonna die.

1047
00:55:18,920 --> 00:55:21,799
Speaker 1: I remember watching Hearness to Death. I remember watching an

1048
00:55:21,800 --> 00:55:23,960
Speaker 1: episode of Beverly Hills nine O two and oer where

1049
00:55:23,960 --> 00:55:26,799
Speaker 1: they had like some you know, you know, you know,

1050
00:55:26,840 --> 00:55:29,960
Speaker 1: attractive like eighteen year old woman who gave some speech

1051
00:55:29,960 --> 00:55:31,440
Speaker 1: and stood up before and she's like, you know, my

1052
00:55:31,480 --> 00:55:34,279
Speaker 1: first boyfriend, I lost my virginity and and he gave

1053
00:55:34,320 --> 00:55:35,000
Speaker 1: me HIV.

1054
00:55:35,160 --> 00:55:36,120
Speaker 2: I mean, this was there.

1055
00:55:36,320 --> 00:55:38,440
Speaker 1: There were all these Yes, there was a movie that

1056
00:55:38,520 --> 00:55:41,360
Speaker 1: was made called Kids, which is a terrible movie. But

1057
00:55:41,680 --> 00:55:44,560
Speaker 1: aside for the point about like teenagers in New York

1058
00:55:44,600 --> 00:55:47,759
Speaker 1: and passing HIV, Like, there was the movie, I mean

1059
00:55:47,760 --> 00:55:49,920
Speaker 1: that movie, d Well, it became a movie. The Broadway

1060
00:55:49,960 --> 00:55:54,440
Speaker 1: show Rent was about people members. It's based on La

1061
00:55:54,480 --> 00:55:58,520
Speaker 1: Bom and somebody was I think tuberculosis, but they changed

1062
00:55:58,520 --> 00:56:01,640
Speaker 1: it to HIV and then it was they actually made

1063
00:56:01,680 --> 00:56:04,600
Speaker 1: fun they they you know, they went after this in

1064
00:56:04,640 --> 00:56:06,920
Speaker 1: Team America, if you remember, there's a whole Rent sequence

1065
00:56:06,960 --> 00:56:10,520
Speaker 1: in the Team America movie from but I mean there's

1066
00:56:10,560 --> 00:56:13,120
Speaker 1: been no there was never any accountability for that you

1067
00:56:13,160 --> 00:56:14,880
Speaker 1: and I had the same experience in college, which is

1068
00:56:14,960 --> 00:56:17,600
Speaker 1: we're going to all these meetings, and you know, health

1069
00:56:17,600 --> 00:56:19,840
Speaker 1: meetings or whatever, they're like mandatory.

1070
00:56:19,920 --> 00:56:22,719
Speaker 2: They used to have fish bulls. This is the truth.

1071
00:56:22,800 --> 00:56:26,759
Speaker 1: Everybody in my college there were fish bulls full of

1072
00:56:26,880 --> 00:56:30,200
Speaker 1: condoms that you had to give out, and they were

1073
00:56:30,200 --> 00:56:32,000
Speaker 1: always being refilled.

1074
00:56:31,800 --> 00:56:33,239
Speaker 2: And it was because you had to watch it.

1075
00:56:33,280 --> 00:56:35,680
Speaker 1: I mean, obviously there are other STDs people were concerned

1076
00:56:35,680 --> 00:56:38,399
Speaker 1: with in pregnancy, but the primary thing was guys got

1077
00:56:38,440 --> 00:56:42,279
Speaker 1: to lower your HIV risk. All the time I went

1078
00:56:42,360 --> 00:56:45,040
Speaker 1: and got I remember getting blood tested like everybody else,

1079
00:56:45,040 --> 00:56:47,480
Speaker 1: probably at some point in college. And I actually asked

1080
00:56:48,000 --> 00:56:51,280
Speaker 1: on GW's campus because d C had a high age

1081
00:56:51,360 --> 00:56:53,120
Speaker 1: rate at the time and one of the highest in

1082
00:56:53,120 --> 00:56:56,040
Speaker 1: the country, and I said, have you I asked the doctor,

1083
00:56:56,080 --> 00:56:59,239
Speaker 1: I said, have you ever had anybody at GW a

1084
00:56:59,320 --> 00:57:01,280
Speaker 1: student test positive for HIV?

1085
00:57:01,719 --> 00:57:05,920
Speaker 3: And he said no, And I just remember thinking that

1086
00:57:06,080 --> 00:57:08,600
Speaker 3: is an extraordinary statu And I felt the same way

1087
00:57:08,600 --> 00:57:11,000
Speaker 3: when I looked up like again and again. I don't

1088
00:57:11,000 --> 00:57:12,719
Speaker 3: know what the rates are now, so I'm not I

1089
00:57:12,880 --> 00:57:15,560
Speaker 3: would imagine it's maybe even lower because I think HIV

1090
00:57:15,719 --> 00:57:17,480
Speaker 3: is less common and certainly.

1091
00:57:17,600 --> 00:57:21,240
Speaker 1: They have really really solid drugs that can lower the

1092
00:57:21,400 --> 00:57:23,720
Speaker 1: viral count of your blood to the point where it's undetectable.

1093
00:57:23,720 --> 00:57:26,000
Speaker 1: And there's all that, and there's also there's post exposure

1094
00:57:26,000 --> 00:57:29,000
Speaker 1: profile axis, there's pre exposure profile axis. You know, there's

1095
00:57:29,000 --> 00:57:30,280
Speaker 1: all these things that they can do.

1096
00:57:30,960 --> 00:57:34,280
Speaker 3: The odds of again one in four hundred, if you

1097
00:57:34,480 --> 00:57:37,120
Speaker 3: slept with someone who was HIV positive.

1098
00:57:37,280 --> 00:57:37,560
Speaker 2: I was.

1099
00:57:37,640 --> 00:57:40,680
Speaker 1: I was in disbelief because of what I had been

1100
00:57:40,840 --> 00:57:41,800
Speaker 1: taught as a kid.

1101
00:57:42,040 --> 00:57:42,720
Speaker 2: But you knew this, right.

1102
00:57:42,760 --> 00:57:45,640
Speaker 1: The Fauci and Burks were spearheading those campaigns for the

1103
00:57:45,680 --> 00:57:48,480
Speaker 1: CDC and the NIH to get every high school kid

1104
00:57:48,480 --> 00:57:51,840
Speaker 1: in America needs to be terrified of, you know, in

1105
00:57:51,880 --> 00:57:54,040
Speaker 1: the next five years or whatever they're gonna you know,

1106
00:57:54,080 --> 00:57:55,080
Speaker 1: then they might get HIV.

1107
00:57:55,240 --> 00:57:59,000
Speaker 3: That was the programming. Remember Magic Johnson, I mean remember

1108
00:57:59,000 --> 00:58:00,640
Speaker 3: how to give a story. That was when he came

1109
00:58:00,640 --> 00:58:02,800
Speaker 3: out and said that he had tested positive for HIV.

1110
00:58:03,080 --> 00:58:06,960
Speaker 3: I mean, it was a earth shattering event in the country.

1111
00:58:07,040 --> 00:58:09,880
Speaker 3: And now I don't even think they can test and

1112
00:58:10,320 --> 00:58:12,520
Speaker 3: find HIV in his body. I don't think his wife

1113
00:58:12,600 --> 00:58:15,520
Speaker 3: ever tested positive either, which was like you kind of

1114
00:58:15,520 --> 00:58:17,440
Speaker 3: step back and you're like, man, that seems I mean,

1115
00:58:17,440 --> 00:58:20,120
Speaker 3: I'm assuming he's sleeping with his wife like that seems

1116
00:58:20,120 --> 00:58:22,200
Speaker 3: pretty unlikely. I don't think she ever tested positive. But

1117
00:58:23,000 --> 00:58:26,320
Speaker 3: positive on this is that most people don't even hardly

1118
00:58:26,320 --> 00:58:28,440
Speaker 3: talk about HIV anymore, At least I don't hear any

1119
00:58:28,480 --> 00:58:30,160
Speaker 3: talk about it. But when you and I were growing up,

1120
00:58:30,280 --> 00:58:33,120
Speaker 3: they legitimately terrorized this and made us think that everybody's

1121
00:58:33,160 --> 00:58:35,560
Speaker 3: going to die of aids. If a homeowner can be

1122
00:58:35,640 --> 00:58:38,920
Speaker 3: on the lookout for real estate fraud involving identity theft,

1123
00:58:39,560 --> 00:58:43,360
Speaker 3: you should be because criminals use tactics like phishing, phone scams,

1124
00:58:43,360 --> 00:58:46,640
Speaker 3: public Wi Fi hacking, and mail theft to steal your

1125
00:58:46,680 --> 00:58:49,880
Speaker 3: personal information. Then with enough of your information in hand,

1126
00:58:49,920 --> 00:58:52,520
Speaker 3: they can attempt to steal property, titles, forged deeds, take

1127
00:58:52,560 --> 00:58:55,040
Speaker 3: on mortgages in your name, one of the latest trends

1128
00:58:55,040 --> 00:58:57,680
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1129
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1130
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1131
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1132
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Speaker 3: threats you might not spot on your own, like crimes

1133
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1134
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1140
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1141
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Speaker 5: Helping you separate truth from fiction every single weekday The Clay,

1142
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Speaker 5: Travis and Buck Sexton Show