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

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Speaker 1: Sexton Show podcast.

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Speaker 2: The second hour of The Clay Travis and Buck Sexton

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Speaker 2: Show kicks off right now. Thanks everybody for being with us.

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Speaker 2: Appreciate you. Eight hundred and two eighty two two eight

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Speaker 2: eight two. We're gonna be taking some calls here.

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Speaker 1: And here we go.

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Speaker 2: We have a House Democrat corner Fox here faced a

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Speaker 2: bit of a backlash for being dismissive of testimony up

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Speaker 2: at the House's Homeland Security Committee hearing on left wing violence.

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Speaker 2: Before we get into this, I do just want to

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Speaker 2: remind everyone that the two biggest places, the two biggest

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Speaker 2: areas of attack on Donald Trump specifically, but really on Republicans.

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Speaker 2: Now we're generally because Trump was the Republican president. He's

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Speaker 2: the front runner right now for the Republican primary. The

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Speaker 2: two biggest areas they attack us on are election denial

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Speaker 2: and you know, election violence or violence related to politics, right,

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Speaker 2: political violence?

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Speaker 1: Election denial and isn't it interesting.

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Speaker 2: That they do this with all of us supposed to

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Speaker 2: forget about the fact that they, as we know from

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Speaker 2: the Durham Report, denied the twenty sixteen election and tried

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Speaker 2: to overturn it effectively tried to kick Donald Trump out

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Speaker 2: of office and even lock them up in prison if

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Speaker 2: they could, based on lies, because they didn't like twenty sixteen,

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Speaker 2: and they went with it for years. It wasn't just

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Speaker 2: a one off. It wasn't some people who got a

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Speaker 2: little overzealous or whatever. No, No, it was the entire

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Speaker 2: Democrat machine denying twenty sixteen. In the other area, and

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Speaker 2: these all tie together January sixth. They talk about January

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Speaker 2: sixth constantly, the threat to our democracy. All this stuff

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Speaker 2: I lived through. I don't know Clay how bad it

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Speaker 2: got in Nashville, because it was so present everywhere. There

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Speaker 2: were some I remember in twenty twenty as their There

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Speaker 2: was the Night of the Purge in New York City

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Speaker 2: and they had Antifil lunatics in the name of BLM

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Speaker 2: running all over the city, just smashing windows, looting, taking

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Speaker 2: It happened on my block. I was watching as this

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Speaker 2: stuff was unfolding. I could hear all the sirens. The

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Speaker 2: NYPD was totally unable to deal with the mass that

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Speaker 2: thousands of people running around acting like miniacs. Those were

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Speaker 2: all Biden voters and the people who gathered outside the

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Speaker 2: White House when Trump was president and had to be

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Speaker 2: cleared with tear gas right in what is it Lafayette Square?

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Speaker 2: Those were all Biden voters. The people who tried to

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Speaker 2: burn down a courthouse in Portland, Oregon and were shining

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Speaker 2: lasers in the eyes of officers in the hopes of

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Speaker 2: blinding them. Didn't work, but they were trying to. Those

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Speaker 2: were Biden voters. We're supposed to ignore all of this

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Speaker 2: political violence, and that is why I think it's worth everybody,

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Speaker 2: it's worth us taking a moment here to look at

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Speaker 2: this hearing and what Julio Rosas was up against. First

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Speaker 2: of all, you have represented. How bad did it get

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Speaker 2: a Nashville clay was it?

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Speaker 1: Yeah? They?

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Speaker 3: I mean I remember Memorial Day weekend twenty twenty, they

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Speaker 3: tried to burn down the Nashville Courthouse. For people out

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Speaker 3: there who remember, this was iconic footage because Nashville was

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Speaker 3: a city that had never had any kind of rioting

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Speaker 3: to speak of, and I couldn't believe what I was

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Speaker 3: seeing on television. They were breaking out windows, throwing basically

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Speaker 3: Molotov cocktails into the Nashville Courthouse, trying to burn down

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Speaker 3: the entire building in the midst of a BLM protest.

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Speaker 3: There were no officers to be seen anywhere. Now, thankfully

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Speaker 3: the fire didn't take and really bring down.

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Speaker 1: The building, but it was awful.

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Speaker 3: And I remember watching that footage Buck and being so

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Speaker 3: furious and angry that in my hometown we had allowed

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Speaker 3: rioters to try to burn down a courthouse and there

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Speaker 3: was at that time zero consequences for them. So yeah,

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Speaker 3: in my own town too. It was Now it was

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Speaker 3: not New York City, it was not Chicago, it was

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Speaker 3: not some of the cities that had, you know, weeks

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Speaker 3: and weeks of aggressive rooting, liot rioting and looting, but

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Speaker 3: it was It was something I've never seen before and

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Speaker 3: I hope to never see again.

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Speaker 2: And the only time that they can talk about right

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Speaker 2: wing political violence in a mob setting is always January sixth.

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Speaker 2: For Democrats, that's just like the Tuesday. I mean, they

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Speaker 2: don't care. They will have and have had. There were

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Speaker 2: BLM riots the one point zero BLM if you will,

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Speaker 2: under the Obama administration when they had that truly famous

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Speaker 2: or infamous moment of it's a mostly peaceful protests and

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Speaker 2: they had the building on fire behind them, right, I mean,

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Speaker 2: this is this also goes to the media knows its role.

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Speaker 1: The role is not to tell the truth.

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Speaker 2: The role of the contemporary democrat media is to tell

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Speaker 2: you while a looting mob is burning your house down,

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Speaker 2: that you're your house is not actually on fire. And

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Speaker 2: if you think it is, like maybe you're a bad person,

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Speaker 2: a misogynist, xenophobic, a racist. You know your house is

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Speaker 2: not actually burning down, even though you're watching it burn down.

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Speaker 2: They also had that great Don Lemon clip. Do you

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Speaker 2: remember where then was at the pred he was like,

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Speaker 2: there's a smell of weed. Obviously that was like.

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Speaker 3: Again, Don Liman before he became like the anti Trump zealot,

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Speaker 3: had some moments on CNN where you were like, Okay,

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Speaker 3: it's hard not to laugh, like he's I think a

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Speaker 3: pretty talented television guy, you know, regardless of what you

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Speaker 3: think of its politics. But when he said there's the

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Speaker 3: smell of weed, obviously was absolutely hysterical. And maybe we

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Speaker 3: can grab that clip somewhere because they buried it obviously

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Speaker 3: when he became the anti Trump's zealot, but that one

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Speaker 3: in is and is remember the we played that recently,

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Speaker 3: but when he got fired, I think we played the

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Speaker 3: the Don Leman like with lessons for black people. Remember

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Speaker 3: that aired on CNN, which was like, by the way,

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Speaker 3: would get him fired immediately in today's Twitter, But a

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Speaker 3: lot of what he said was totally reasonable back in

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Speaker 3: the day.

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Speaker 2: So so Julio Rosas bringing this back to what happened

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Speaker 2: on the House last night, just we wanted to remind

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Speaker 2: you all. They lie constantly about the there's an omnipresent

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Speaker 2: threat of political violence from the left. We all know this.

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Speaker 2: There's a shooting involving law enforcement or even just a

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Speaker 2: white guy who is the one doing the shooting and

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Speaker 2: or or is doing that, you know, the physical confrontation

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Speaker 2: of any kind. There may be a riot. We all

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Speaker 2: know this. There may be a riot, and it will

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Speaker 2: be Biden voters. It will be Biden voters who ride.

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Speaker 2: It will be Biden voters in Portland, it will be

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Speaker 2: Biden voters in Houston, will be Biden voters in New

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Speaker 2: York City. We all know it, but we're not supposed to.

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Speaker 2: There's like a there's a prohibition on noticing that is

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Speaker 2: going on. You're not allowed to notice this. It's like

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Speaker 2: a war on noticing. Here is representative Goldman. Julio has

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Speaker 2: been it countless of these Antifa you know, actions, direct

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Speaker 2: action they call it. It's not really a protest because

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Speaker 2: they're trying to break stuff and intimidate people. Here is

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Speaker 2: how this new Democrat, billionaire, trust fund baby member of

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Speaker 2: Congress speaks to Julio Rosas, a frontline reporter and former marine.

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Speaker 1: By the way, play it.

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Speaker 4: Gaslight us up here as if Antifa, which mister Rosas

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Speaker 4: apparently the expert now in organized terrorist activity, has overruled

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Speaker 4: the FBI director, who says there's a headline says antifa

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Speaker 4: is an ideology, not an organization. No, no, no, let's

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Speaker 4: not listen to the FBI director. Let's listen to sorry,

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Speaker 4: what's your your title? Senior writer at town Hall, who

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Speaker 4: is going to tell us that the FBI director is wrong?

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Speaker 2: And I'd like to introduce there's no question. First of all,

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Speaker 2: it's an opinion, it's analysis. Second of all, the FBI

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Speaker 2: director is not a very smart guy. There's plenty of

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Speaker 2: that going on these days. We've seen it. And third

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Speaker 2: of the dripping dissension here from a guy who he's

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Speaker 2: a billionaire, he's the air. Oh, actually, you know what,

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Speaker 2: let's let Julio say it. Because Julio's feisty. He took

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Speaker 2: some shots play it.

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Speaker 5: I think it's funny to be to be lectured by

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Speaker 5: an heir to the Levi Strauss Corporation. And honestly, that's

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Speaker 5: probably why he doesn't consider property damage to be that

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Speaker 5: big of a deal, because not only does he have that,

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Speaker 5: but he also has when someone describe an impossibly good

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Speaker 5: stock portfolio.

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Speaker 2: Taking some shots there, and I think he gets it

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Speaker 2: an important point. Though, you've got a lib trust fund

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Speaker 2: billionaire didn't make it himself, a lib trust fund billionaire,

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Speaker 2: who's oh, what's the big deal If antifood destroys a

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Speaker 2: store window where you know, burns down a CVS or

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Speaker 2: a drug store somewhere, it's not that big a deal

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Speaker 2: because you know, worrying about property clay is for the

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Speaker 2: peasants when you're a billionaire. That's this guy's attitude, and

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Speaker 2: there was so much that was wrong with it. He

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Speaker 2: basically bought his congressional seat.

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Speaker 3: Yeah, and again he's a good example of somebody who

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Speaker 3: just accepts the conventional whizy. Maybe he's smart enough to

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Speaker 3: know the conventional wisdom is wrong. Question for you, because

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Speaker 3: it builds off what we were just talking about with

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Speaker 3: Leslie Stall Last Hour.

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Speaker 1: Adam Schiff.

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Speaker 3: Do you think Adam Schiff is actually really smart and

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Speaker 3: just like was committed to the lie from the get go?

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Speaker 3: Or my analogy of Adam Schiff is remember Seinfeld when

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Speaker 3: George claims that he has a house in the Hamptons,

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Speaker 3: and then he gets called on it, and eventually he

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Speaker 3: gets into the car because the guy's like, I want

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Speaker 3: you to drive me to your house in the Hamptons,

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Speaker 3: and so George is committed enough to the lie that

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Speaker 3: he gets in the car and he just keeps driving.

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Speaker 3: I think Schiff bought into the idea that Trump legitimately

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Speaker 3: was influenced by Russia, and then I think he was

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Speaker 3: so committed to the lie that he was just going

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Speaker 3: to ride it to the end of the earth. Because

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Speaker 3: here's what's really sad, buck, and this goes with the

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Speaker 3: caller who wanted to talk to us to end the hour.

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Speaker 3: What is really sad And if you want to talk

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Speaker 3: about a true threat to democer, it's when there are

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Speaker 3: no consequences for being wrong about issues of great consequence

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Speaker 3: to the country.

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Speaker 1: Right.

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Speaker 3: Yeah, we care more about holding people accountable when they

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Speaker 3: get a Super Bowl prediction wrong than we do. When

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Speaker 3: somebody says, hey, you're a Russian agent, You're a Manchurian candidate.

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Speaker 3: They argue it for years, they impeach you based on

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Speaker 3: it when it's all proven to be false. Shiff is

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Speaker 3: any running for Senate? He probably will be rewarded in California?

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Speaker 3: Am I right about that? Is he running for Senate?

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Speaker 1: Probably have we rewarded he might get a Senate seat.

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Speaker 2: We have a shift montage? Can we play the shifty

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Speaker 2: shift montage? CIVU play.

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Speaker 6: So there's clear evidence on the issue of collusion, and

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Speaker 6: this adds to.

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Speaker 1: That body of evidence.

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Speaker 6: There's ample evidence of collusion in plain sight, and that

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Speaker 6: is true. Have Democrats found any evidence of collusion?

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Speaker 1: Yes, we have.

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Speaker 6: If you can see evidence in plain sight on the

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Speaker 6: issue of collusion, pretty compelling evidence. And there is significant

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Speaker 6: evidence of collusion. There is ample evidence and there is

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Speaker 6: of collusion of people in the Trump campaign with the Russians.

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Speaker 6: I think there's plenty of evidence of collusion or conspiracy.

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Speaker 6: All of this is evidence of collusion. There is significant

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Speaker 6: evidence of collusion between the campaign and Russia.

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Speaker 2: So this is I would say this, first of all,

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Speaker 2: we all know all of that is a lie. And

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Speaker 2: he just lied so many times. We could do a

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Speaker 2: whole show, a three hour show of just all the

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Speaker 2: lies that Shift has told and all the hits. All

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Speaker 2: the guy loves his face on TV. Yeah, so you

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Speaker 2: look at this and I think what you have is

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Speaker 2: a lawyer divorced from any ethics, who saw an opportunity

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Speaker 2: to make a case for a political purpose, and that's

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Speaker 2: why he always picked it a law I don't think

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Speaker 2: he really believed that Vladimir Putin was sending, you know,

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Speaker 2: text messages to Trump saying, you know, this is how

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Speaker 2: we will steal the election. I think that he believed

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Speaker 2: there's enough here that I can make like a prosecutor

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Speaker 2: who wants to take somebody down without really thinking the

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Speaker 2: person's a bad guy. I think he believed that he

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Speaker 2: could take whatever little tidbits were there, construct a narrative

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Speaker 2: and use it as a weapon against Trump. And that's

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Speaker 2: clearly what he did. And he's a perfect example wrong

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Speaker 2: about everything, more important, more powerful in the Democrat.

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Speaker 1: Party, isn't that?

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Speaker 3: Ultimately, if you want to talk about true threats to democracy,

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Speaker 3: the only reason we elect people is so they can

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Speaker 3: make decisions that you and me and all of us

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Speaker 3: out there don't have the time to make on our own.

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Speaker 3: They are our representatives, and it's truest sense analyzing all

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Speaker 3: the data making choices. If you elect someone and they're

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Speaker 3: wrong about everything, they shouldn't get reelected. What's worse than

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Speaker 3: being wrong about everything is being wrong about everything and

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Speaker 3: either getting re elected or in the case of Adam Schiffbuck,

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Speaker 3: he might get promoted and people say, Okay, well, how

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Speaker 3: in the world did Kamala Harris end up in the

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Speaker 3: vice president chair where she's clearly not able to do it.

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Speaker 3: Nobody's ever really believed that she was even very good

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Speaker 3: at her job. It's because in a one party system

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Speaker 3: like California, when they decide you are the representative, you

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Speaker 3: never have to actually go out and win a battle

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Speaker 3: for ideas. You don't even have to be a very

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Speaker 3: good candidate. You are just the figurehead. And Shift maybe

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Speaker 3: the next one.

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Speaker 2: I think he is going to win that Dianne Feinstein

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Speaker 2: Senec That's what I'm saying. I think that's gonna happen.

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Speaker 2: So this is what because the Democrats think of him.

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Speaker 2: The Democrats, and this goes to my central thesis, they

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Speaker 2: do not think of Shift as a guy who was wrong.

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Speaker 2: They think of him as a guy who was willing

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Speaker 2: to do anything for the cause. And that's all the matters.

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Speaker 2: That's all they care about. The lies. Remember, even the

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Speaker 2: journals were taking the opinion for a long time cla

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Speaker 2: Or during the Trump administration, we're openly saying we can't

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Speaker 2: report objectively because objectivity can serve Trump's purpose. The truth

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Speaker 2: is anti Trump, therefore we must be anti Trump. And

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Speaker 2: that I mean, it was the ultimate circular reason.

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Speaker 1: It was just right.

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Speaker 2: They said this openly in some of the big newspapers.

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Speaker 2: So it's kind of funny we think of those newspapers.

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Speaker 2: They're really all now just website. Although Clay is the

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Speaker 2: New York Times, old school right, old school paper, you do.

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Speaker 3: I'm literally to my right right now, buck have the

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Speaker 3: New York Times and the Wall Street Journal print publication paper.

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Speaker 1: I tried to buy. You'll love this.

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Speaker 3: I was in Lax yesterday. I tried to buy the newspapers.

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Speaker 3: They don't have them in Lax anymore. You can't buy

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Speaker 3: a newspaper in Lax.

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Speaker 2: Clay's a climate change monster with his paper, killing all

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Speaker 2: the trees. All right, everybody, look onto something really important

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Speaker 2: here for a second, you need to join me next

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Speaker 2: Tuesday morning, a couple of hours before this program starts.

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Speaker 2: We're going on at ten am Eastern for an exclusive

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Speaker 2: interview with an extraordinary market analyst by the name of

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Speaker 2: Mason Sexton. That's right, full disclosure, he's my dad. He'll

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Speaker 2: be telling us about the great Disruption of twenty twenty three. Mason,

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Speaker 2: my dad, received worldwide attention for his uncanny prediction of

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Speaker 2: the nineteen eighty seven stock market crash, and then went

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Speaker 2: on to make many other incredibly accurate and timely market calls.

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Speaker 2: Not only did he call the bottom of the eighth

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Speaker 2: nine financial crisis months in advance, he called the top

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Speaker 2: of the market before the COVID crash and the bottom.

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Speaker 2: He also called the exact top of the market in

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Speaker 2: January twenty twenty three, and in nineteen eighty two he

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Speaker 2: called the bull market after stocks went nowhere for fourteen years. Now,

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Speaker 2: my dad, Mason Speed sextons coming forward with his first

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Speaker 2: major prediction in thirty years, something big and about to

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Speaker 2: be set in motion over the next eight weeks. Want

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Speaker 2: to know more, Go online to Disruption twenty twenty three

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Speaker 2: dot com to sign up. That's Disruption twenty twenty three

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Speaker 2: dot com. That's next Tuesday Morning online. You can sign

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Speaker 2: up today at Disruption twenty twenty three dot com.

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Speaker 1: Truth after Truth. You can handle the truth.

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Speaker 7: Clay Travis Senbock Sexton.

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Speaker 3: Appreciate all you hanging out with us into play. This

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Speaker 3: Don Lemon quote from when he's standing outside with the

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Speaker 3: protesters talking about the smell of weed. This is another

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Speaker 3: in memoriam of Don lemons CNN career, but before Trump

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Speaker 3: broke his brain, he occasionally could be kind of funny.

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Speaker 1: Listen to this there on.

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Speaker 8: Top of the roofs of car, the top of cars.

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Speaker 2: And obviously there's a smell of marijuana in the air

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Speaker 2: as well.

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Speaker 3: Obviously, Tom, obviously obviously that is really by the way,

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Speaker 3: there's the smell of marijuana in the air everywhere in

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Speaker 3: every big city.

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Speaker 1: Have you noticed this, buck Like.

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Speaker 2: I hate it, the lies that were told about how

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Speaker 2: marijuana is actually just good for.

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Speaker 1: You and it relaxes you, and.

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Speaker 2: The the a lot of my libertarian friends. I got

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Speaker 2: a little bit of a problem, a little little little bit,

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Speaker 2: little problem with the way this was rolled out and

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Speaker 2: how it's all going to be fine. It is now

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Speaker 2: a public smell menace, and it's also horrible for people's

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Speaker 2: mental health and motivation.

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Speaker 1: It is bad.

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Speaker 2: I know I sound good off my lawn, but I'm

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Speaker 2: married now, so I'm allowed to be very get off

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Speaker 2: my lawn. You know, I don't have a strong marijuana

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Speaker 2: take in general, but I will tell you, like when

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Speaker 2: I'm going to New York City today, it's unbelievable to

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Speaker 2: me to walk around to New York City now.

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Speaker 3: The smell of marijuana is everywhere. Used to hear it

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Speaker 3: like maybe a you're at a concert or something. It's

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Speaker 3: super strong too, so you can be fifty feet behind someone,

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Speaker 3: depending where the wind's blown, and you're smelling their weed. Yeah,

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Speaker 3: I don't really look. I don't think anyone.

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Speaker 2: Should go to prison for marijuana, I get it right,

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Speaker 2: But can we at least enforce, you know, no smoking

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Speaker 2: in public places and make this a thing that doesn't

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Speaker 2: because otherwise you're smoking it too?

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Speaker 1: Is the way it ends up going. I don't know.

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Speaker 1: It is interesting.

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Speaker 3: You almost never see young people smoking cigarettes now, you know,

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Speaker 3: standing outside of a building, certainly not in restaurants or

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Speaker 3: anywhere else. My kids react like somebody's doing you know,

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Speaker 3: a heroin if they see somebody smoking cigarettes now, but

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Speaker 3: marijuana is everywhere.

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Speaker 1: It's interesting. Basically flip those two.

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Speaker 3: Company known as Innovation Refunds has made a lot of

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Speaker 3: small business owners happy over the past couple of years.

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Speaker 3: Their knowledge of the IRS tax refund program known as

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Speaker 3: the Employee Retention Credit, that's the ERC, is what's made

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Speaker 3: them so appreciative. This is a little known plan from

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Speaker 3: the IRS refunds up to twenty six thousand dollars per employee.

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Speaker 3: Their website, Get refunds dot COM's how you get started.

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Speaker 3: many kinds of businesses just like yours, construction, retail, restaurants, bars, hotels,

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Speaker 3: so many more. Government data experts have estimated eighty six

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Speaker 3: percent of small businesses were likely eligible to receive an

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Speaker 3: ERC tax credit. Challenge, cutting through all the red tape,

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Speaker 3: they've returned billions of dollars. It doesn't cost you anything

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Speaker 3: and it only takes ten minutes. Go to Get refunds

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Speaker 3: app store Get Refunds dot Com.

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Speaker 1: Sleeve Travis and Buck Sexton on the front lines.

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Speaker 8: Of what has changed in this meeting, is the President

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Speaker 8: changed the scope of who's all negotiating instead of all

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Speaker 8: the four leaders. It's really he's finally taking Leader McConnell's

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Speaker 8: advice that he's applied to him the same advice he

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Speaker 8: gave to President Trump that had worked out, same advice

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Speaker 8: to President Obama and others. Appoint somebody from the President's

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Speaker 8: team who can work with the Speaker's team to see

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Speaker 8: if we could come to an agreement.

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Speaker 1: That is what the decision was made in this meeting.

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Speaker 8: So the structure of how we negotiate has improved. Had

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Speaker 8: we done this back ninety seven days ago, we'd already

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Speaker 8: have a bill passed.

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Speaker 1: Okay.

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Speaker 2: That was Speaker McCarthy, who a lot of folks feel

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Speaker 2: like has turned over a new leaf in his leadership

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Speaker 2: role and has been doing a good job pushing on.

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Speaker 1: Some important issues.

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Speaker 2: Is this one of those issues? I did an unscientific

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Speaker 2: poll a few hours ago just to get a quick

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Speaker 2: snapshot of the audience, or at least the Twitter audience.

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Speaker 2: I said, do you care to hear meaning I guess

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Speaker 2: like on this show about the debt ceiling fight? Or

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Speaker 2: is it all just political theater with a predetermined ending?

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Speaker 2: Over three thousand votes. No, it is a waste of

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Speaker 2: time one seventy thirty percent. So it's a non scientific poll.

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Speaker 2: But here's here's their reality. We spend too much money

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Speaker 2: as a country. That is obvious. There are consequences to

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Speaker 2: spending too much money. Hello inflation. That was just fast

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Speaker 2: money printing because of the lunatic idea of lockdowns for

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Speaker 2: COVID not to get I don't want to get I

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Speaker 2: don't want to leave the debt conversation behind me, Clay,

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Speaker 2: Can I just note you know now they're starting to

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Speaker 2: look back and see that the ventilators killed people. Yeah,

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Speaker 2: the ventilators. It wasn't The ventilators didn't save people. The

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Speaker 2: ventilators killed people, caused infections in their lungs while they

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Speaker 2: were weakened and sick. To give you a sense of

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Speaker 2: how bad the early stage care was here and how

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Speaker 2: much panic was driving decision making, there's a reason why

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Speaker 2: people would go into the hospital with COVID and if

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Speaker 2: they went on a ventilator they basically never came off.

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Speaker 2: It was because that was a horrible idea for a

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Speaker 2: vast majority of the people they put on it. And

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Speaker 2: it's like, we're not supposed to really talk about it

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Speaker 2: because I guess the medical community just doesn't want to

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Speaker 2: really look at what was done in this country and others.

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Speaker 2: But that was one of the worst things in the

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Speaker 2: early days of COVID because it wasn't like masks and

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Speaker 2: gloves and all that do nothing. The ventilator craze. Remember,

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Speaker 2: we needed a million of them. Ventilators killed people in

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Speaker 2: numbers that are staggering when you look at it, I

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Speaker 2: mean meaning it's it was a misapplication of a care tool.

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Speaker 3: Not only that buck all of the ventilators just about

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Speaker 3: that we rushed production of I think we made millions

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Speaker 3: of them, didn't we. They're now being sold for scrap metal.

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Speaker 3: So the amount of money that we wasted. This just

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Speaker 3: happened in New York City, because you'll remember New York

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Speaker 3: City was where the epicenter. Cuomo came out and said,

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Speaker 3: we've got to have enough, way more ventilators. We had

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Speaker 3: factories flip over start to produce them. Trump, to his credit,

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Speaker 3: actually predicted that we would produce way more ventilators than

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Speaker 3: we possibly needed. And now they are selling these ventilators

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Speaker 3: that you and me and all of everybody out there

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Speaker 3: listening our taxpayer dollars used I think hundreds of millions,

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Speaker 3: if not billions of dollars in ventilators. They now are

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Speaker 3: selling them for scrap metal, and we're getting back pennies

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Speaker 3: on the dollar for what we spent. Not only did

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Speaker 3: we kill people by using them, we built way too

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Speaker 3: many of them that we couldn't remotely ever use, and

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Speaker 3: now they are being turned into scrap metal.

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Speaker 2: It's stunning when you look at this and no one again,

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00:22:53,600 --> 00:22:56,679
Speaker 2: no one takes accountability, no one takes any blame for this.

437
00:22:56,760 --> 00:22:59,440
Speaker 2: But okay, so that was the COVID thing. But spending

438
00:22:59,480 --> 00:23:04,200
Speaker 2: six trulli and this complicates facts because that was spent

439
00:23:04,280 --> 00:23:07,440
Speaker 2: under Trump. And I know people that that upsets some

440
00:23:07,480 --> 00:23:09,879
Speaker 2: folks to hear you say, oh, but it was the pandemic.

441
00:23:09,960 --> 00:23:10,359
Speaker 1: I get it.

442
00:23:10,720 --> 00:23:14,280
Speaker 2: But why didn't the inflation under Joe Biden hit as

443
00:23:14,359 --> 00:23:16,560
Speaker 2: much as we had hoped it would in the twenty

444
00:23:16,600 --> 00:23:19,440
Speaker 2: twenty two election, Because they look and they say six

445
00:23:19,560 --> 00:23:21,840
Speaker 2: trillion of it was spent in the in twenty twenty

446
00:23:21,920 --> 00:23:25,000
Speaker 2: under Trump, And you can, we can try to argue

447
00:23:25,000 --> 00:23:25,760
Speaker 2: about it as much.

448
00:23:25,680 --> 00:23:26,320
Speaker 1: As we want.

449
00:23:26,680 --> 00:23:29,240
Speaker 2: For a lot of swing voters that go, yeah, both

450
00:23:29,280 --> 00:23:32,000
Speaker 2: sides spend too much. And that's the key point here.

451
00:23:32,720 --> 00:23:39,000
Speaker 2: Both parties spend too much money. I remember in the

452
00:23:39,040 --> 00:23:41,320
Speaker 2: early days of the Tea Party, we've talked about this.

453
00:23:41,440 --> 00:23:43,960
Speaker 2: What the debt was, twelve trillion or something like that.

454
00:23:44,080 --> 00:23:47,120
Speaker 3: Ten trillion the number that we hit that everybody said,

455
00:23:47,160 --> 00:23:48,920
Speaker 3: oh my god, really take notice here.

456
00:23:48,880 --> 00:23:50,920
Speaker 2: And we're going to be at forty trillion dollars here

457
00:23:51,000 --> 00:23:54,119
Speaker 2: pretty soon. And you know, we're at thirty three right now,

458
00:23:54,920 --> 00:23:58,120
Speaker 2: and it's here. The problem is we have too many

459
00:23:58,160 --> 00:24:01,000
Speaker 2: people who want stuff from the gun gover. And as

460
00:24:01,040 --> 00:24:03,840
Speaker 2: long as individuals feel like they can vote themselves more

461
00:24:03,880 --> 00:24:06,480
Speaker 2: goodies than they have to pay for themselves, as long

462
00:24:06,520 --> 00:24:09,920
Speaker 2: as they buy into that central lie of our federal

463
00:24:09,960 --> 00:24:14,560
Speaker 2: government spending, this doesn't get better. And this is the

464
00:24:14,680 --> 00:24:16,639
Speaker 2: challenge that we have. No one wants to be the

465
00:24:16,680 --> 00:24:19,240
Speaker 2: one that says there's no Santa Claus. Nobody wants to

466
00:24:19,240 --> 00:24:22,720
Speaker 2: be accused of austerity or kicking seniors off there whatever.

467
00:24:23,119 --> 00:24:24,119
Speaker 1: You know, fill in the blank.

468
00:24:25,280 --> 00:24:27,480
Speaker 2: And so what happens this It just turns into an

469
00:24:27,560 --> 00:24:29,440
Speaker 2: arms race of I want to be in power, I'll

470
00:24:29,440 --> 00:24:32,320
Speaker 2: spend even more. And this whole thing about the debt

471
00:24:32,320 --> 00:24:35,680
Speaker 2: ceiling fight, they're probably and I have to look into that.

472
00:24:35,760 --> 00:24:40,199
Speaker 2: They're probably arguing about the percentage increase, not even a

473
00:24:40,280 --> 00:24:43,480
Speaker 2: true cut in any meaningful sense in the budget. So,

474
00:24:43,960 --> 00:24:47,879
Speaker 2: my friends, this is where we've this. This is I

475
00:24:47,880 --> 00:24:50,040
Speaker 2: think why people get so frustrated, Clay, because it feels

476
00:24:50,080 --> 00:24:52,280
Speaker 2: like we're making no progress here.

477
00:24:52,960 --> 00:24:54,800
Speaker 3: Not only that, Buck, if you just go back to

478
00:24:54,840 --> 00:24:58,840
Speaker 3: the last budget that we did before COVID twenty nineteen,

479
00:24:59,600 --> 00:25:03,080
Speaker 3: the new normal that has been established in terms of

480
00:25:03,119 --> 00:25:06,760
Speaker 3: what the United States government spends is not going even

481
00:25:06,880 --> 00:25:10,359
Speaker 3: back to twenty nineteen levels. It's now going back to

482
00:25:10,960 --> 00:25:15,000
Speaker 3: the elevated COVID numbers. We're reducing what we were spending

483
00:25:15,040 --> 00:25:18,480
Speaker 3: starting in twenty twenty, but on a per capita basis,

484
00:25:19,080 --> 00:25:21,080
Speaker 3: we spent more. And I believe this is correct. Our

485
00:25:21,119 --> 00:25:23,119
Speaker 3: staff can can one hundred percent confirm it. But the

486
00:25:23,200 --> 00:25:26,439
Speaker 3: data that I have seen says that we spent more

487
00:25:27,240 --> 00:25:30,480
Speaker 3: to combat COVID than we did to win World War Two.

488
00:25:31,640 --> 00:25:35,399
Speaker 3: Now that kind of puts into perspective how much of

489
00:25:35,440 --> 00:25:40,679
Speaker 3: an overreaction all of this was. And if you go

490
00:25:40,800 --> 00:25:45,520
Speaker 3: back in hindsight in twenty twenty, I would love the

491
00:25:45,560 --> 00:25:48,920
Speaker 3: Marvel multiverse, you know that exists, Buck, What would have

492
00:25:49,040 --> 00:25:52,240
Speaker 3: happened if somebody like ran Paul had been in office

493
00:25:52,680 --> 00:25:56,680
Speaker 3: when COVID happened. Now, COVID hitting in an election year

494
00:25:56,920 --> 00:25:59,359
Speaker 3: was the worst year. And I understand some of you

495
00:25:59,400 --> 00:26:01,560
Speaker 3: out there. That's why you believe because a lot of

496
00:26:01,560 --> 00:26:04,719
Speaker 3: our audience buck doesn't just believe that COVID leaked out

497
00:26:04,760 --> 00:26:06,600
Speaker 3: of a lab. There are some of you out there

498
00:26:06,640 --> 00:26:10,359
Speaker 3: that believe that China intentionally leaked. Now I'm not taking

499
00:26:10,359 --> 00:26:13,040
Speaker 3: that next step, but the fact that this happened in

500
00:26:13,080 --> 00:26:16,159
Speaker 3: twenty twenty If this had happened in twenty nineteen, or

501
00:26:16,200 --> 00:26:18,920
Speaker 3: if this had happened in twenty twenty one, I think

502
00:26:18,960 --> 00:26:22,040
Speaker 3: our national response to COVID would have been far more

503
00:26:22,119 --> 00:26:28,840
Speaker 3: rational and less less sort of hyper emotional and illogical.

504
00:26:28,880 --> 00:26:31,080
Speaker 3: The fact that it was an election year always makes

505
00:26:31,080 --> 00:26:34,080
Speaker 3: these things worse. But I wish we could go back

506
00:26:34,119 --> 00:26:37,040
Speaker 3: in the multiverse and have somebody like ran Paul in

507
00:26:37,200 --> 00:26:40,360
Speaker 3: the presidency to see how he could have handled this

508
00:26:40,480 --> 00:26:42,200
Speaker 3: as a doctor speaking to the nation.

509
00:26:42,640 --> 00:26:44,720
Speaker 2: I've always felt this way, and I know we just

510
00:26:44,760 --> 00:26:48,240
Speaker 2: had Senator Paul on yesterday, And I say this with

511
00:26:48,280 --> 00:26:51,919
Speaker 2: the utmost respect. I don't think he's just he's not

512
00:26:51,960 --> 00:26:54,480
Speaker 2: a guy to win a national election. I think he'd

513
00:26:54,480 --> 00:26:56,880
Speaker 2: be a really good president. Yeah, so I don't think

514
00:26:56,920 --> 00:26:58,639
Speaker 2: that he could win the campaign because that's just he

515
00:26:58,680 --> 00:27:02,240
Speaker 2: doesn't have those those instincts that he's too brusque.

516
00:27:02,320 --> 00:27:05,440
Speaker 3: He's too brusque, he's too like, you know, just like cutting.

517
00:27:05,560 --> 00:27:08,520
Speaker 3: I think in many ways, if you put him in charge,

518
00:27:08,840 --> 00:27:11,439
Speaker 3: if you put him in charge, he would do a

519
00:27:11,480 --> 00:27:14,120
Speaker 3: really good job. I believe that firmly. I think he's

520
00:27:14,240 --> 00:27:17,040
Speaker 3: because it's also not all about him. It's not really

521
00:27:17,080 --> 00:27:19,040
Speaker 3: just about the glory of the guy in the office.

522
00:27:19,040 --> 00:27:21,159
Speaker 3: So I think he'd be excellent. And he's still If

523
00:27:21,160 --> 00:27:23,720
Speaker 3: you had to draft somebody who's not in politics right

524
00:27:23,760 --> 00:27:25,720
Speaker 3: now to be president of the United States.

525
00:27:25,840 --> 00:27:28,919
Speaker 1: Who would you draft? Oh god, I can't even I've

526
00:27:28,960 --> 00:27:29,760
Speaker 1: got two answers.

527
00:27:30,760 --> 00:27:32,600
Speaker 2: I mean, you have this ready to go president United

528
00:27:32,640 --> 00:27:35,959
Speaker 2: States who is not even in politics. Throw me your

529
00:27:36,000 --> 00:27:38,359
Speaker 2: answers and it might jog my brain a little bit.

530
00:27:38,400 --> 00:27:40,800
Speaker 2: Here should we tease it? Is that an incredible tease

531
00:27:40,840 --> 00:27:42,880
Speaker 2: and we'll come back because I want to let's do that.

532
00:27:42,880 --> 00:27:44,359
Speaker 2: That's how the radio game is played.

533
00:27:44,400 --> 00:27:44,960
Speaker 1: I want to know.

534
00:27:46,160 --> 00:27:48,639
Speaker 2: I also want to celebrate a life you saved. If

535
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Speaker 2: you've donated to the Preborn Network of Clinics, you have

536
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537
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538
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539
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Speaker 2: but she and her boyfriend agreed to an ultrasound. It

540
00:28:05,400 --> 00:28:07,240
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541
00:28:07,280 --> 00:28:10,040
Speaker 2: healthy and viable, but her client advocate was able to

542
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543
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544
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545
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Speaker 2: her baby's heartbeat, it became real, but she still wasn't sure,

546
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Speaker 2: and when the Preborn staff member showed her the miracle

547
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548
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549
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550
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552
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553
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Speaker 2: an ultrasound and help write a new story of a

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555
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556
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Speaker 2: the baby. Or visit preborn dot com slash buck or

557
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Speaker 2: go online right now preborn dot Com slash Buck sponsored

558
00:29:09,400 --> 00:29:10,560
Speaker 2: by Preborn.

559
00:29:11,080 --> 00:29:14,480
Speaker 7: Learn, laugh, and join us on the weekend on our

560
00:29:14,640 --> 00:29:17,840
Speaker 7: Sunday Hang with Clay and Fuck podcast, Fight It on

561
00:29:17,920 --> 00:29:20,720
Speaker 7: the iHeart Apple or wherever you get your podcasts.

562
00:29:20,960 --> 00:29:25,280
Speaker 3: Welcome back in play Travis Buck Sexton Show. Finish the

563
00:29:25,360 --> 00:29:28,600
Speaker 3: last segment what what we call in the business a tease?

564
00:29:29,720 --> 00:29:32,800
Speaker 3: Who could you draft to be President of the United

565
00:29:32,840 --> 00:29:35,360
Speaker 3: States right now? I just was tossing out to Buck

566
00:29:35,440 --> 00:29:38,720
Speaker 3: that I would love to see how someone like rand Paul,

567
00:29:38,760 --> 00:29:42,760
Speaker 3: who has a medical background could have handled COVID in

568
00:29:42,840 --> 00:29:45,080
Speaker 3: a way that would have been different. And let me confirm,

569
00:29:45,160 --> 00:29:48,120
Speaker 3: by the way, this is correct, Buck. We spent our

570
00:29:48,160 --> 00:29:54,080
Speaker 3: staff confirmed. Uh, we spent five point two trillion dollars

571
00:29:54,120 --> 00:29:58,440
Speaker 3: on COVID relief. Five point two trillion. It cost US

572
00:29:58,520 --> 00:30:02,240
Speaker 3: four point seven trilli million to win World War two.

573
00:30:03,480 --> 00:30:05,880
Speaker 3: So if you're just out there and you are frustrated

574
00:30:05,920 --> 00:30:09,840
Speaker 3: about public policy responses, and I believe those numbers are

575
00:30:09,840 --> 00:30:12,960
Speaker 3: inflation adjusted, because four point seven trillion dollars in the

576
00:30:13,040 --> 00:30:16,160
Speaker 3: nineteen forties would have been like unprecedented to be able

577
00:30:16,200 --> 00:30:21,480
Speaker 3: to spend. So we spent more money to combat COVID,

578
00:30:22,080 --> 00:30:25,120
Speaker 3: a virus for which basically we did nothing to stop

579
00:30:25,160 --> 00:30:28,920
Speaker 3: it from spreading, than we did to beat the Nazis

580
00:30:29,520 --> 00:30:32,440
Speaker 3: in World War two, to just kind of factor that in. Okay,

581
00:30:32,720 --> 00:30:36,080
Speaker 3: I've got two names. One and I know he's not eligible.

582
00:30:36,880 --> 00:30:37,720
Speaker 1: Elon Musk.

583
00:30:38,400 --> 00:30:42,440
Speaker 3: I actually think Elon Musk would be a good president

584
00:30:42,560 --> 00:30:45,000
Speaker 3: in the sense that he would recognize the things that

585
00:30:45,080 --> 00:30:49,600
Speaker 3: are most important commit fully to trying to solve them. Now,

586
00:30:49,640 --> 00:30:52,560
Speaker 3: he is an African American. He is born in South Africa,

587
00:30:52,600 --> 00:30:56,560
Speaker 3: I believe, so he is not eligible to be elected president.

588
00:30:57,480 --> 00:30:59,080
Speaker 1: This one's from the world of sports.

589
00:30:59,520 --> 00:31:03,920
Speaker 3: I think Saban University of Alabama football coach, would be

590
00:31:04,000 --> 00:31:06,560
Speaker 3: a really good president of the United States. What both

591
00:31:06,600 --> 00:31:09,200
Speaker 3: of those guys have, buck, I think, is the ability

592
00:31:09,240 --> 00:31:13,040
Speaker 3: to focus on things that matter, have tunnel vision, and

593
00:31:13,080 --> 00:31:15,480
Speaker 3: not really care about the external noise.

594
00:31:15,960 --> 00:31:17,640
Speaker 1: But they are fixers.

595
00:31:17,680 --> 00:31:20,440
Speaker 3: They can look at problems, they can address them, and

596
00:31:20,480 --> 00:31:22,720
Speaker 3: they can fix them. And I think both of them

597
00:31:22,720 --> 00:31:25,080
Speaker 3: have pretty good communication skills.

598
00:31:24,640 --> 00:31:26,960
Speaker 2: In general, tell me the two It was Nick Saban

599
00:31:27,440 --> 00:31:30,920
Speaker 2: and Elon Musk Elon, I mean Elon was who I

600
00:31:30,920 --> 00:31:36,720
Speaker 2: thought you were going to say, that's interesting. Does he

601
00:31:36,760 --> 00:31:39,640
Speaker 2: want to run? You know, there's somebody else who could

602
00:31:39,680 --> 00:31:41,840
Speaker 2: run if you wanted to. Right now, I think, well,

603
00:31:42,120 --> 00:31:45,520
Speaker 2: I guess it hasn't really been not necessarily right now,

604
00:31:45,560 --> 00:31:47,680
Speaker 2: What if Tucker decided to run at some point?

605
00:31:47,920 --> 00:31:49,520
Speaker 1: Do you think Tucker would be a good president.

606
00:31:50,080 --> 00:31:52,160
Speaker 2: I think Tucker would be a great president. I think

607
00:31:52,160 --> 00:31:54,680
Speaker 2: it would be both effective and hilarious at the same time.

608
00:31:54,760 --> 00:31:58,040
Speaker 2: Like he would be hilarious just because he's funny, and

609
00:31:58,240 --> 00:32:00,320
Speaker 2: I think he'd be effective too, because I think I

610
00:32:00,320 --> 00:32:03,640
Speaker 2: think he sees he sees the matrix. You know, he

611
00:32:03,800 --> 00:32:07,840
Speaker 2: understands what's true, what's not, how the how the powerful,

612
00:32:07,880 --> 00:32:09,880
Speaker 2: how the elite try to gain the system for their

613
00:32:09,920 --> 00:32:11,040
Speaker 2: you know, to their own ends.

614
00:32:11,720 --> 00:32:11,840
Speaker 7: Uh.

615
00:32:11,920 --> 00:32:17,080
Speaker 2: He's not awed by or or fearful of the ruling class,

616
00:32:17,440 --> 00:32:21,600
Speaker 2: which especially people in d C tend to be. You know,

617
00:32:21,640 --> 00:32:24,520
Speaker 2: there's even they all want proximity to power. They all

618
00:32:24,560 --> 00:32:26,640
Speaker 2: they all want to sort of you know, scrape and

619
00:32:26,760 --> 00:32:30,800
Speaker 2: bag at the throne, and uh, it's gross and it's

620
00:32:30,840 --> 00:32:33,880
Speaker 2: not good for the people that they're trying to represent

621
00:32:34,080 --> 00:32:36,880
Speaker 2: or that they're supposed to be thinking of, and the

622
00:32:36,920 --> 00:32:39,360
Speaker 2: rest of the country. So I think he'd be very interesting.

623
00:32:39,360 --> 00:32:41,520
Speaker 2: I mean, look, I've said Elon is. I think Elon's

624
00:32:41,520 --> 00:32:43,720
Speaker 2: a genius. I think that when you have that level

625
00:32:43,760 --> 00:32:47,960
Speaker 2: of vision and managerial acumen, it's I think it's easy

626
00:32:47,960 --> 00:32:49,000
Speaker 2: to say someone's a genius.

627
00:32:49,440 --> 00:32:49,640
Speaker 5: Uh.

628
00:32:49,680 --> 00:32:51,800
Speaker 2: And you know, for a lot of Steve Jobs, wasn't

629
00:32:52,160 --> 00:32:55,360
Speaker 2: some brilliant data engineer or something. Really he was a

630
00:32:55,480 --> 00:32:58,880
Speaker 2: vision guy and really kind of a salesman, you know,

631
00:32:58,960 --> 00:33:02,760
Speaker 2: able to sell ideas. And I think the quote for

632
00:33:02,760 --> 00:33:06,240
Speaker 2: those of you who are car fans about Enzo Ferrari

633
00:33:06,840 --> 00:33:10,400
Speaker 2: and this is this is from listening to the founder's podcast.

634
00:33:11,040 --> 00:33:11,959
Speaker 1: I can't remember the guy's name.

635
00:33:12,000 --> 00:33:15,040
Speaker 2: It's a good podcast though, but he talks about Enzo

636
00:33:15,120 --> 00:33:17,680
Speaker 2: Ferrari and how he wasn't a great he tried to

637
00:33:17,720 --> 00:33:20,000
Speaker 2: be a Formula one driver himself. Wasn't that This is

638
00:33:20,000 --> 00:33:21,960
Speaker 2: the founder of Ferrari, which we all know it's one

639
00:33:21,960 --> 00:33:24,840
Speaker 2: of the most globally recognizable brands. But he referred to

640
00:33:24,920 --> 00:33:28,200
Speaker 2: himself as a great agitator of men, as in he

641
00:33:28,280 --> 00:33:30,400
Speaker 2: was just good at getting a bunch of guys in

642
00:33:30,480 --> 00:33:33,440
Speaker 2: a room and being like, we are all excellence, we

643
00:33:33,480 --> 00:33:35,520
Speaker 2: are going to do world changing stuff, and you are

644
00:33:35,520 --> 00:33:37,920
Speaker 2: not leaving, and you're not seeing your wife and you're

645
00:33:37,960 --> 00:33:40,920
Speaker 2: not having dinner until it's done. That was his skill set,

646
00:33:40,920 --> 00:33:43,160
Speaker 2: and he built a globally recognized brand basically out of

647
00:33:43,200 --> 00:33:46,920
Speaker 2: his garage. And I think Elon has a similar skill

648
00:33:46,960 --> 00:33:49,760
Speaker 2: set in terms of bringing together good people but also

649
00:33:49,880 --> 00:33:53,000
Speaker 2: understanding the long term vision. Long term vision is so

650
00:33:53,280 --> 00:33:57,040
Speaker 2: lacking right now, Yeah, because because we're almost in this

651
00:33:57,160 --> 00:34:01,160
Speaker 2: information overflow where eating you're in this fire hose of

652
00:34:01,200 --> 00:34:04,280
Speaker 2: all new stuff, new data, quarterly reports, daily reports. What

653
00:34:04,360 --> 00:34:07,560
Speaker 2: are the metrics telling us? Sometimes the metrics have to

654
00:34:07,560 --> 00:34:09,480
Speaker 2: be put aside for where will the metrics be in

655
00:34:09,560 --> 00:34:12,480
Speaker 2: five years or ten years? And I think Elon can

656
00:34:12,520 --> 00:34:12,799
Speaker 2: do that.

657
00:34:13,280 --> 00:34:15,760
Speaker 3: Yeah, he had a great quote and I'm paraphrasing the quote,

658
00:34:15,760 --> 00:34:18,880
Speaker 3: but he's like, everybody is trying to get ten percent better.

659
00:34:19,040 --> 00:34:21,720
Speaker 3: You know, in your business, you got to make quarterly numbers.

660
00:34:21,760 --> 00:34:24,160
Speaker 3: You got to figure out how to get ten percent better,

661
00:34:24,760 --> 00:34:28,839
Speaker 3: and short term thinking ten percent better, nobody's thinking like, hey,

662
00:34:28,840 --> 00:34:31,160
Speaker 3: where are things going to be in ten years? Because

663
00:34:31,160 --> 00:34:34,040
Speaker 3: that's how you can gain a competitive advantage and the

664
00:34:34,080 --> 00:34:37,040
Speaker 3: world of sports. The great way to describe this back

665
00:34:37,040 --> 00:34:39,920
Speaker 3: in the day was Wayne Gretzky. They asked him how

666
00:34:39,960 --> 00:34:42,480
Speaker 3: he scored so many goals. He said, I don't skate

667
00:34:42,520 --> 00:34:44,719
Speaker 3: where the puck is. I skate where the puck's going

668
00:34:44,800 --> 00:34:47,880
Speaker 3: to be. And again I'm paraphrasing on the quote, but

669
00:34:47,960 --> 00:34:51,399
Speaker 3: that's how you have that vision for excellence, and it's

670
00:34:51,400 --> 00:34:55,680
Speaker 3: beyond the immediate moments where everybody's reacting. Building on your

671
00:34:55,719 --> 00:35:00,120
Speaker 3: Tucker comments, Buck, if you were Donald Trump, and you

672
00:35:00,000 --> 00:35:03,920
Speaker 3: you are right now the foremost leader in the Republican Party,

673
00:35:04,920 --> 00:35:09,640
Speaker 3: how seriously would you consider offering your vice presidential spot

674
00:35:09,920 --> 00:35:10,840
Speaker 3: to Tucker Carlson?

675
00:35:12,200 --> 00:35:13,759
Speaker 1: Wait if I wait?

676
00:35:14,160 --> 00:35:16,399
Speaker 3: If I were Trump is the leader right now, he's

677
00:35:16,440 --> 00:35:17,799
Speaker 3: got to be a part of his part of his

678
00:35:17,960 --> 00:35:20,839
Speaker 3: leadership is who he picks. His VP is a big

679
00:35:20,880 --> 00:35:23,360
Speaker 3: deal because he's only got four years. Let's pretend that

680
00:35:23,400 --> 00:35:27,400
Speaker 3: he's the nominee. Would you consider Tucker as one of

681
00:35:27,440 --> 00:35:30,319
Speaker 3: the let's say seven or eight guys or girls that

682
00:35:30,360 --> 00:35:34,400
Speaker 3: are in his binder of potential VP candidates. Would you

683
00:35:34,480 --> 00:35:37,200
Speaker 3: make him in your mind? I don't know if he'd

684
00:35:37,239 --> 00:35:39,440
Speaker 3: take it, but would you make him one of the

685
00:35:39,440 --> 00:35:41,360
Speaker 3: guys that you would consider if you were Trump.

686
00:35:42,280 --> 00:35:44,240
Speaker 2: I on think Tucker would want to be a vice president.

687
00:35:44,360 --> 00:35:48,400
Speaker 3: I think a vice president. Would you consider him for it? Right, Yes,

688
00:35:48,920 --> 00:35:49,320
Speaker 3: I think it?

689
00:35:49,440 --> 00:35:52,880
Speaker 2: Well no, because really, if we're going to be serious

690
00:35:52,920 --> 00:35:55,080
Speaker 2: about this, you've already said this. I think this is

691
00:35:55,120 --> 00:35:55,840
Speaker 2: so true.

692
00:35:56,480 --> 00:35:58,080
Speaker 1: You need a VP.

693
00:35:59,080 --> 00:36:01,840
Speaker 2: The real value of a VP, let's be honest, is

694
00:36:01,880 --> 00:36:04,760
Speaker 2: to be there just in case. That is the reason

695
00:36:04,880 --> 00:36:08,520
Speaker 2: for the role, and to maybe deliver a state in

696
00:36:08,560 --> 00:36:11,799
Speaker 2: the election in the first place. So the smart move

697
00:36:11,840 --> 00:36:14,680
Speaker 2: for a VP. And please for the Trump team, because

698
00:36:14,719 --> 00:36:16,440
Speaker 2: I know you're listening. Okay, at least some of them

699
00:36:16,480 --> 00:36:20,040
Speaker 2: are pick a VP who will help win an important

700
00:36:20,080 --> 00:36:22,040
Speaker 2: state that you need to want to become president.

701
00:36:22,080 --> 00:36:25,200
Speaker 1: No, you're totally right. You're totally right. All this other

702
00:36:25,239 --> 00:36:27,520
Speaker 1: stuff of like, oh, brings like this skill.

703
00:36:27,320 --> 00:36:31,000
Speaker 3: Set along, Well, what's their repue, what's the what's their interaction?

704
00:36:31,200 --> 00:36:34,640
Speaker 2: Like everybody can win a worthless meaningless The vice president

705
00:36:34,640 --> 00:36:37,360
Speaker 2: of the president don't even hang out when they're actually in office.

706
00:36:37,400 --> 00:36:40,040
Speaker 2: I mean they live in different places. Again for a

707
00:36:40,200 --> 00:36:42,920
Speaker 2: good reason. So that's how I see it. What do

708
00:36:42,960 --> 00:36:45,080
Speaker 2: you got firs next, Clay, I'm excited. What are you

709
00:36:45,080 --> 00:36:48,000
Speaker 2: gonna tell us about? I don't have any idea what

710
00:36:48,040 --> 00:36:48,759
Speaker 2: I'm gonna talk about.

711
00:36:48,800 --> 00:36:50,880
Speaker 3: I'm gonna talk about that, We're gonna talk about de

712
00:36:50,960 --> 00:36:51,640
Speaker 3: Sandas Trump.

713
00:36:51,719 --> 00:36:52,960
Speaker 1: Let's roll, all right, cool,