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Speaker 1: Welcome everybody to the Klay, Travis and Buck Sexton Show

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Speaker 1: on this fantastic Friday, July the eighteenth. Can't believe we're

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Speaker 1: already halfway through the summer. Hope you're having a good one.

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Speaker 1: A lot of news to get into. Give you a

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Speaker 1: bit of a roadmap here where we're going today on

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Speaker 1: the show. Senator McCormick of Pennsylvania will be with us.

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Speaker 1: Got some very interesting things to talk to him about,

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Speaker 1: including how AI is going to transform not just the economy,

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Speaker 1: the world that we live in. And they had this

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Speaker 1: AI summit in Pennsylvania. I think the best way to

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Speaker 1: line this up is for those of us who are

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Speaker 1: I don't know if anyone's not really a believer in

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Speaker 1: this clay who's paying attention to it, But it's looking

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Speaker 1: more and more like the Internet circa nineteen ninety six

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Speaker 1: in terms of the way that this could really transform

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Speaker 1: business and our day to day lives if this works

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Speaker 1: the way that it is anticipated that it will, and

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Speaker 1: that it already is in some ways. So I just

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Speaker 1: think that it's a fasting discussion. And you know, I've

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Speaker 1: got the clay, We've got way moo's all over the place,

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Speaker 1: here now in Miami.

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Speaker 2: I love them.

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Speaker 1: I love yet I haven't I'm gonna be a waymo guy,

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Speaker 1: because you know, I always feel a little guilty. This

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Speaker 1: will not surprise anybody, but I do not like listening

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Speaker 1: to loud music. That is especially not the music that

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Speaker 1: I in general, I don't like loud music.

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Speaker 3: So you love that there's no driver and you're completely

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Speaker 3: alone in your isolated cocoon of movement.

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Speaker 1: Because I feel a little bit like a jerk getting

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Speaker 1: into somebody else's car, being.

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Speaker 2: Like, excuse me, sir, excuse me, can you turn down your.

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Speaker 1: You know, I just I don't love that, so I

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Speaker 1: try not to do it. And so I have learned

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Speaker 1: a lot about reggaeton and bad Bunny down here in

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Speaker 1: Miami Beach as a result, because I end up listening

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Speaker 1: to it every time I get into a car.

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Speaker 2: But yes, it is. It is a change that is.

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Speaker 1: Coming here with Waimo and the driverless vehicles, and that

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Speaker 1: is just this is one of infinity things that are

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Speaker 1: going to be changing.

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Speaker 3: I think sometimes we don't always recognize when the future

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Speaker 3: is upon us and the Internet, I would say, because

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Speaker 3: for those of us who remember the dot com bubble,

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Speaker 3: everything they said about the Internet ended up being true,

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Speaker 3: but they said it so early and then everything imploded

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Speaker 3: that a lot of people didn't realize as the Internet

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Speaker 3: kind of took over all of our lives. That I mean,

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Speaker 3: I guarantee you there were a lot of people back

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Speaker 3: in the day who were saying, Oh, the Internet's overrated.

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Speaker 3: There's no way the Internet's going to change anything about

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Speaker 3: my life. And then nowadays the Internet is so fundamentally embedded.

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Speaker 3: Sometimes you do a tech thing. For me, it was

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Speaker 3: getting in that way more vehicle and I felt like

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Speaker 3: I was in the future.

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Speaker 4: You know.

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Speaker 3: We were talking about the Jetsons.

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Speaker 2: The other day.

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Speaker 3: When I got in there in that vehicle with my

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Speaker 3: son and it drove us around like it did, I said,

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Speaker 3: in the future. And I know people out there get

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Speaker 3: fired up about this. Uh. I think driving a car

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Speaker 3: is going to be like riding a horse. I think

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Speaker 3: it's going to be something that people do for fun.

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Speaker 3: That is, otherwise most people don't do it. And people

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Speaker 3: that like say, you know, in eighteen ninety, everybody knew

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Speaker 3: how to put a horse down, everybody knew how to

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Speaker 3: feed a horse, like it was the method of propulsion.

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Speaker 3: There's an intermediary step and my older brother, who's a

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Speaker 3: car guy, loves he still drives stick shift. He's got

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Speaker 3: a stick shift car. He loves to get out there

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Speaker 3: and do the shifting with his You know, I mean

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Speaker 3: I can kind of do it not well, and I

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Speaker 3: probably can't really do it. I used to be able

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Speaker 3: to do it, but he loves it just because he

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Speaker 3: loves it. It'll be like that driving my driving car

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Speaker 3: yourself design cars for Ford for thirty years. He loves

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Speaker 3: in the Detroit area. Loves driving cars. Like if you

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Speaker 3: told him, Hey, you're going to go on vacation, he'd

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Speaker 3: be like, I want to drive twelve hours to I'd

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Speaker 3: be like, oh, that sounds like the worst vacation ever.

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Speaker 3: He loves it. So I'm not saying people, I think

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Speaker 3: in a generation this is going to be an example

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Speaker 3: of something that is profoundly different than life is today.

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Speaker 2: Yes, so we'll talk to him about AI.

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Speaker 1: I just I want us to be familiar with that

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Speaker 1: conversation to start to get into this, because I know

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Speaker 1: it might sound like a little something more you'd hear

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Speaker 1: on CNBC, which, by the by the way, I didn't

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Speaker 1: even mean to transition into this, but I will just

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Speaker 1: noteb CNBC throwing big time shade at the great state

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Speaker 1: of Tennessee, and I think that Clay is going to

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Speaker 1: have to defend Tennessee's honor after CNBC. This is this

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Speaker 1: is madness. I don't know how this could happen. We'll

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Speaker 1: get to that later. It's a short, shorter conversation. But

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Speaker 1: CNBC has said that Tennessee, based on their metrics, Okay, Tennessee,

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Speaker 1: is the worst state in America to live.

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Speaker 3: I was like, the worst st across the bow. It's

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Speaker 3: what they to say. Hey, it's not the best. To

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Speaker 3: call Tennessee the worst place to live in America, as

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Speaker 3: CNBC did, is virtually impossible. If you want to tell

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Speaker 3: me it's not top three or top five, I'll listen

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Speaker 3: to you. But having spent a good amount of time

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Speaker 3: in Tennessee, in large part because of this show and

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Speaker 3: Clay's residency there, that is just I mean, I could

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Speaker 3: name a whole bunch of states that I'd be like anyway,

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Speaker 3: we can get into that.

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Speaker 2: We can get into that later. Some news's let's pile

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Speaker 2: into some news right now.

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Speaker 1: It's a Friday, so we're a little loose for having

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Speaker 1: some fun we'll take your calls obviously, so light us up.

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Speaker 1: We love your talkbacks. Hit us up with more talkbacks.

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Speaker 2: And vip emails as we go.

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Speaker 1: A couple of things for the for the news cycle.

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Speaker 1: One is Attorney General Pam Bondi is saying she's going

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Speaker 1: to unseal grand jury testimony related to Jeffrey Epstein. And

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Speaker 1: this is following a directive from President Trump. So back

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Speaker 1: in the news cycle, everybody, we're not choosing to talk

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Speaker 1: about the Epstein case. It is now a thing that

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Speaker 1: is happening that is news, uh, And that's just something to.

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Speaker 2: Be aware of.

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Speaker 1: I don't think you'll see much in there that matters.

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Speaker 1: And I think every time I've told you that so

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Speaker 1: far about something not mattering, it has been accurate.

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Speaker 2: But I could be wrong. We'll see.

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Speaker 1: And then Trump tweeted this out. I keep saying, tweeted

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Speaker 1: whatever truth this out. Based on the ridiculous amount of

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Speaker 1: publicity given to Jeffrey Epstein, I've asked Attorney General Bondi

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Speaker 1: to produce any and all permanent grand jury testimony, subject

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Speaker 1: of court approval. This scam perpetuated by Democrats should and

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Speaker 1: right now, okay, Clay, that comes out from Trump and

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Speaker 1: within hours of each other. There's also a Wall Street

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Speaker 1: journal piece that dropped. This Wall Street Journal piece is

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Speaker 1: I don't understand what they think. The point of it

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Speaker 1: really is. It goes into we'll just give you the

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Speaker 1: summary of it, and Clay as into the details as well,

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Speaker 1: so filling anything I miss, But it's that Epstein had

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Speaker 1: a fiftieth birthday a long time ago, and a bunch

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Speaker 1: of people wrote body notes, you know, locker room talk,

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Speaker 1: nothing like you know, perverted per se or at least

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Speaker 1: nothing that they're saying Trump ro was perverted, at least

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Speaker 1: not that I'm aware of, but you know, writing boobs

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Speaker 1: on things and stuff like that. And they said that

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Speaker 1: Trump was part of this like birthday tribute. It was

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Speaker 1: known that Trump used to hang out at hangout in

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Speaker 1: Palm Beach with Jeffrey Epstein. Jeffrey Epstein used to hang

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Speaker 1: out with all the socialites, I believe in Palm Beach

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Speaker 1: of his era. He was just out with all these people.

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Speaker 1: He was a rich guy who liked to party. At

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Speaker 1: that time. There was a time when people didn't realize

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Speaker 1: that he was a sick pedophile. So you know, you

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Speaker 1: have to separate these things. Into different. You know, if

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Speaker 1: somebody told you that they thought that like Bill Cosby

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Speaker 1: was a great American thirty years ago or twenty years

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Speaker 1: ago or whatever it is, that would feel a little

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Speaker 1: different than someone's saying I think Bill Cosby is a

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Speaker 1: great American today, Right where there's what people know about

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Speaker 1: somebody's past behavior and what and when they know it.

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Speaker 2: Clay, what was the point of this Wall Street Journal piece? Why?

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Speaker 1: Why would they do this? And has kick Trump off

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Speaker 1: in no small measure which we can get into. But

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Speaker 1: why did they do this?

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Speaker 3: I think there is an attempt and a desire to

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Speaker 3: directly connect Donald Trump to Jeffrey Epstein. And I think

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Speaker 3: Trump saw this coming. It's why he has not wanted,

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Speaker 3: particularly to focus on the Epstein related issues. And I

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Speaker 3: read the Wall Street Journal piece last night when it

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Speaker 3: came out. I texted it to you. It doesn't sound

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Speaker 3: like Trump at all. It doesn't sound like something that

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Speaker 3: Trump would do. Having said that, I don't know why

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Speaker 3: it's particularly newsworthy. And I also don't know why it

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Speaker 3: wouldn't have come out in twenty sixteen or twenty twenty

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Speaker 3: or twenty twenty four if it was deemed newsworthy. Look,

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Speaker 3: they accused Trump of having sex with a porn star

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Speaker 3: and paying to keep it from going public. They put

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Speaker 3: him on trial for those charges. They accused him of

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Speaker 3: sexual assault in a changing room. They dropped the Access

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Speaker 3: Hollywood tape. I don't think there's anything you can say

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Speaker 3: about trum I'm just being honest about Trump at this

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Speaker 3: point that is going to cause anyone to change their

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Speaker 3: opinion about Trump. And so I think this is a

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Speaker 3: big swing in a miss I actually think and this

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Speaker 3: is maybe a little bit at counterintuitive, I actually think

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Speaker 3: it's somewhat beneficial to Trump because it makes him look

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Speaker 3: like the victim here, meaning it looks so over the

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Speaker 3: top in the way that you are pursuing him. What like,

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Speaker 3: even if this it's like the four criminal cases, you

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Speaker 3: don't have to bring four criminal cases against somebody at

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Speaker 3: once who's never been charged with a criminal case in

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Speaker 3: his life, unless you're just doing the kitchen sink routine,

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Speaker 3: which is what they were doing. Throw everything at him,

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Speaker 3: even if it's nonsense, and even if it were true,

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Speaker 3: Let's assume that the way that I like to look

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Speaker 3: at these things is one of the things they teach

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Speaker 3: you in law school is analyze when you file a lawsuit,

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Speaker 3: one of the things you're supposed to do as a

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Speaker 3: judge is presume everything in the lawsuit is true. And

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Speaker 3: you have to do that for purposes of summary judgment.

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Speaker 3: That's taking you a little bit into the legal world.

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Speaker 3: But presume everything that the Wall Street Journal reported is

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Speaker 3: one hundred percent true. Why does it matter? Jeffrey Epstein

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Speaker 3: had a fiftieth birthday party, and people that he knew

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Speaker 3: at that time before he had ever been charged with

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Speaker 3: any crime, they decided they wanted to give him a gift,

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Speaker 3: and that gift was basically a yearbook of joking body

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Speaker 3: commentary about him at the age of fifty. I mean,

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Speaker 3: for anybody out there listening open phone lines here, explain

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Speaker 3: to me why this would be relevant in any way

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Speaker 3: other than as a way. Because Jeffrey Epstein, we now know,

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Speaker 3: is a felon, and a awful felon at that right.

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Speaker 3: He's not somebody who stole some toothpaste or something and

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Speaker 3: got arrested for it. He's a sexual predator. So being

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Speaker 3: associated with someone who is negative, you're just trying to

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Speaker 3: stain that person by saying, oh he knew him, oh

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Speaker 3: he and so open phone lines eight hundred and two

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Speaker 3: A two two eight A two. Explain to me why

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Speaker 3: this would be supremely relevant as a story even if

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Speaker 3: it were one hundred percent tury. I don't buy that

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Speaker 3: it is okay. Secondly, what we're supposed to take from it,

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Speaker 3: I don't want to. I don't know that's what that's

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Speaker 3: one hundred percent When I'm arguing, like, even if it

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Speaker 3: were one hundred percent true, how does it in some

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Speaker 3: way implicate this story in a big way.

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Speaker 2: It doesn't further the story at all.

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Speaker 1: It feels like a throwaway detail in this because we

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Speaker 1: already knew and nobody denied that there was and we

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Speaker 1: had dershowitz on who.

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Speaker 3: Were talking about was.

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Speaker 1: Epstein's lawyer and talked about this, and it's also well

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Speaker 1: known that Epstein got creepy with a member's daughter who

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Speaker 1: was I believe the story is the daughter was underage,

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Speaker 1: and Trump was like, dude, you're being a scumbag.

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Speaker 2: You're out of here. Yeah, so what so what? What

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Speaker 2: what are we learning about this? Like that Trump?

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Speaker 1: And the other part of this too is you read

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Speaker 1: this thing that they that they say was a Trump note,

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Speaker 1: And I'm sorry, I do not believe for one, and

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Speaker 1: this isn't oh. I love Trump and he's the greatest

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Speaker 1: American president of my lifetime. Put that in a separate bin.

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Speaker 1: I'm really trying to be objective. If you ask me,

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Speaker 1: you know, buck, if you get this right, you get

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Speaker 1: a million dollars. Did Donald Trump write this? I'd be like, no,

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Speaker 1: I do not believe Donald Trump wrote some weird like

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Speaker 1: poetry to Jeffrey Epstein where he referred to him as

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Speaker 1: an enigma.

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Speaker 2: I do not believe.

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Speaker 3: I don't know that Donald Trump frankly knows the word

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Speaker 3: enigma or could use it. Let me read that to you.

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Speaker 3: But right before we go to break here, here is

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Speaker 3: what Trump is alleged to have written, drawing a picture

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Speaker 3: of a woman. Also, don't really see a naked woman?

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Speaker 3: And then he said, voiceover, there must This is what

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Speaker 3: they alleged Trump wrote in the Epstein fiftieth birthday book, voiceover,

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Speaker 3: there must be more to life than having everything. Donald, Yes,

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Speaker 3: there is, But I won't tell you what it is, Jeffrey,

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Speaker 3: nor will I since I also know what it is.

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Speaker 2: Donald.

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Speaker 3: We have certain things in common, Jeffrey, Jeffrey, Yes, we do,

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Speaker 3: come to think of it, Donald Enigma's never age. Have

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Speaker 3: you noticed that, Jeffrey. As a matter of fact, it

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Speaker 3: was clear to me the last time I saw you

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Speaker 3: Trump a pal is a wonderful thing. Happy birthday, and

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Speaker 3: may every day be another wonderful secret. That is what

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Speaker 3: they allege Trump wrote. They think that Trump made up

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Speaker 3: an imaginary conversation and sounded in no way like anything

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Speaker 3: Trump has ever sounded like in any of our lives.

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Speaker 3: I don't know that it would actually be a good dive.

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Speaker 3: I don't know that Trump's ever used the word enigma

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Speaker 3: in any of his speeches or any of his comments.

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Speaker 3: I don't think it's used appropriately in this sort of

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Speaker 3: mess up. But I also it doesn't sound like anything

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Speaker 3: Trump would write. So point one, I don't really understand,

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Speaker 3: and open phone lines if you can tell me why

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Speaker 3: this is relevant worthy of front page storyedom in the

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Speaker 3: Wall Street Journal. Point two, I just don't believe it,

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Speaker 3: like it sets off the radar detector in me. Of yes,

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Speaker 3: something just doesn't add up here. I don't think that

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Speaker 3: it is real. So anyway, that is the latest. I

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Speaker 3: actually think this helps Trump because again it looks like

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Speaker 3: his enemies are being more outrageous and outlandish than he

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Speaker 3: often is life in Israel. Contrast, in Tel Aviv, you

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Speaker 3: see high rise construction cranes indicating growth, investment, and optimism

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Speaker 3: for the future, but you also hear sirens giving residents

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Speaker 3: a ten minute warning of an incoming missile attack. Everyone

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Speaker 3: relies on an app to find the nearest bomb shelter.

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Speaker 3: The International Fellowship of Christians and Jews has been placing

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Speaker 3: new bomb shelters across the country, along with necessary supplies

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Speaker 3: for existing bomb shelters. While I was in Israel last December,

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Speaker 3: we visited an IFCJ donated bombshelter place next to a

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Speaker 3: falawful business. Your gift to the International Fellowship of Christians

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Speaker 3: and Jews has helped countless civilians to help protect Israel

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Speaker 3: and her people. Call eight eight eight four eight eight IFCJ.

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Speaker 3: That's eight eight eight four eight eight IFCJ. You can

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Speaker 3: also go online at IFCJ dot org. That's IFCJ dot org.

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Speaker 5: Making America great Again isn't just one man, It's many.

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Speaker 5: The Team forty seven podcast Sundays at noon Eastern in

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Speaker 5: the Clay and Buck podcast feed. Find it on the

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Speaker 5: iHeartRadio app or wherever you get your podcasts.

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Speaker 3: We are joined now by Senator Dave McCormick of Pennsylvania.

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Speaker 3: They just had a major AI event, energy and Innovation summit,

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Speaker 3: lots of AI money pouring into the state of Pennsylvania.

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Speaker 3: And Senator appreciate you joining us. And I know that

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Speaker 3: you have a good, huge, successful business background, and Buck

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Speaker 3: and I were talking about AI writ large. So before

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Speaker 3: we have you dive into the Senate and everything else

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Speaker 3: that you're doing there, I'm just curious, as you look

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Speaker 3: at this through the lens of a business guy, is

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Speaker 3: it in your mind AI and its impact going to

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Speaker 3: be transformational on a level like the Internet was in

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Speaker 3: the nineties to the culture in the world. Do you

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Speaker 3: think more or less? Where are we What do you

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Speaker 3: think from a business perspective, people should know about AI?

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Speaker 4: Hey, good morning, guys, how are your I guess, good afternoon.

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Speaker 4: Thanks for having me. Yeah. I think this is the

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Speaker 4: next great Industrial revolution, I think. And the stakes are

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Speaker 4: so high because it has huge implications for our economic situation,

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Speaker 4: our economic opportunity, has huge implications for national security. We

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Speaker 4: are in a fight. We are in a battle with

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Speaker 4: China for leadership in artificial intelligence, and if we we

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Speaker 4: don't win that leadership battle, we're gonna have everything at risk,

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Speaker 4: our infrastructure, our data, our very way of life. It's

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Speaker 4: that it's that significant. And you know, the case that

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Speaker 4: we made on Tuesday with the President in Pittsburgh was

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Speaker 4: that the intersection of energy innovation and AI innovation is

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Speaker 4: where the future lies and that America has to win

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Speaker 4: it both. And if we're gonna win, we have to

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Speaker 4: win in places like Pennsylvania because you have to have

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Speaker 4: abundant energy. You have to have natural gas, nuclear power,

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Speaker 4: fossil fuels, all forms of energy. You have to have

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Speaker 4: incredible energy resources. You have to have incredible skilled workers

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Speaker 4: to be able to build that infrastructure, and you have

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Speaker 4: to have the most exceptional technology leadership, like we have

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Speaker 4: a Carnegie Mellon And I guess the last point I'd make, guys,

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Speaker 4: because this is not a you know, we got to

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Speaker 4: win this over the next decade kind of thing. This

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Speaker 4: battle is playing out over the next six months, twelve months,

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Speaker 4: twenty four to thirty six. This is something that if

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Speaker 4: we don't continue to have leadership, we're going to look

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Speaker 4: back and say we missed the moment.

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Speaker 1: Senator, appreciate you being with us. I've mentioned before that

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Speaker 1: one of my forays into AI. Was just taking a

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Speaker 1: standard blood test that I had gotten back with all

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Speaker 1: the different numbers and the rest of it, and loading

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Speaker 1: it in and saying, tell me everything I need to

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Speaker 1: know about all my different markers. And it was fascinating.

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Speaker 1: Not only did it give me incredibly detailed analysis more

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Speaker 1: so than even what I had gotten from a pretty

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Speaker 1: long sit down with my doctor about it, but I

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Speaker 1: could do follow up questions, get incredible deep dive information

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Speaker 1: in real time about anything. So to me, that's just

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Speaker 1: one little test case of how AI. This was all

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Speaker 1: through an AI system. How AI is going to change

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Speaker 1: things for people out there right now, whether you're working

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Speaker 1: for a mid sized company, whether you own a car dealer, ship,

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Speaker 1: whether you work at a hardware store, you're a truck driver, Like,

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Speaker 1: what are the ways that out of something like this

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Speaker 1: you can see the world is going to change and

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Speaker 1: the ways that will affect people in their day to

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Speaker 1: day Let's start with any of the positives before we

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Speaker 1: worry about skynet, you know, leading us to a nuclear war, Like,

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Speaker 1: what are the things that you see really getting better

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Speaker 1: and more efficient, more helpful, and more wealth creation going

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Speaker 1: for people?

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Speaker 4: Well, you know the funny thing about this is that

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Speaker 4: it's the marriage of this incredible new sinking about algorithms

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Speaker 4: and data and really taking this unique ability to collate

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Speaker 4: all this intelligence in artificial intelligence. But it's the marriage

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Speaker 4: of that with infrastructure, data centers, and new energy capabilities.

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Speaker 4: So at the summon, I guess the one thing that

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Speaker 4: would probably surprise people the most is the fact that

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Speaker 4: this boom is going to have huge implicationations for blue

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Speaker 4: collar jobs. Mike Row was there and he was saying,

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Speaker 4: this is unbelievable, because what's happening is that there's going

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Speaker 4: to be this huge demand for welders and steam fitters

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Speaker 4: and pipe fitters and electricians to build out this enormous

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Speaker 4: infrastructure because AI requires enormous energy, and so energy demand

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Speaker 4: is going to triple over the next fifteen years, and

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Speaker 4: that's going to create this enormous opportunity for skilled workers.

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Speaker 4: So I think that's one of the maybe the surprising

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Speaker 4: dimensions of it. At the same time, it's also going

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Speaker 4: to put enormous pressure on certain types of white collar jobs.

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Speaker 4: You know, I just did a couple of AI searches

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Speaker 4: this morning on my positions just to see what they

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Speaker 4: would say. I said, what's Dave McCormick's position on Ukraine?

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Speaker 4: And it laid out in excruciating detail my positions on

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Speaker 4: Ukraine and what we should be doing there, and.

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Speaker 3: By the way, accurately in your mind when you.

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Speaker 4: This was very extremely accurate. It drew on all sorts

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Speaker 4: of different you could have written the article. My point

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Speaker 4: is you could have basically said, if you're a reporter,

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Speaker 4: you could have asked that question and that would have

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Speaker 4: been ninety percent of the article. And so it's going

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Speaker 4: to put pressure on all sorts of white collar opportunities

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Speaker 4: which are in the software industry. I was with Safti

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Speaker 4: Nadella not long ago, the SEO of Microsoft, and I

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Speaker 4: asked him the impact. He said, you know, teeth eighty

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Speaker 4: percent of the development work that our software developers used

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Speaker 4: to do can now be done by AI, which is

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Speaker 4: really good in his mind, because that allows our developers

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Speaker 4: to focus on the you know, the twenty percent or

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Speaker 4: the ten percent that's the highest value. But this is

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Speaker 4: going to put enormous pressure on certain types of jobs.

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Speaker 4: And listen, this is a new reality. So my view

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Speaker 4: is that America and Pennsylvania needs to embrace this change

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Speaker 4: and be at the forefront, be leaders in it because unfortunate,

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Speaker 4: it's inevitable, and the stakes of not being the leader

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Speaker 4: or supp high.

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Speaker 3: I think what you just said is so interesting there

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Speaker 3: about the search that you did on your policy on Ukraine.

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Speaker 3: I have been hammering this for a lot of writers

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Speaker 3: out there, and I'm sure you've seen this a lot day.

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Speaker 3: From the background of a business guy, so much of

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Speaker 3: life is figuring out what added value can you provide?

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Speaker 4: Right?

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Speaker 3: I mean, in whatever job you do, what can you

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Speaker 3: do that's better than the average guy or gal that

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Speaker 3: might be doing your job. One thing that I think

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Speaker 3: this is going to require of everybody is mediocrity is

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Speaker 3: going to be replaced quickly by AI. So whether you're

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Speaker 3: selling cars, or whether you're writing articles, or whatever you

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Speaker 3: are doing in the larger universe, I would suggest familiarize

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Speaker 3: yourself with AI because it can take you to a

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Speaker 3: different level of excellence. But if you're not pursuing excellence

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Speaker 3: in what you do, you're going to be very replaceable.

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Speaker 3: Would that be a good contextualization you think business wise?

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Speaker 4: I really I agree with you one hundred percent, and

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Speaker 4: I also think you know, listen, this change changes enough.

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Speaker 4: It's hard. I mean, there's a lot of anxiety out

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Speaker 4: there and I understand that. And there are genuine and

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Speaker 4: legitimate concerns about the national security implications of AI, the

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Speaker 4: privacy implication. So there there is UH. As Buck said,

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Speaker 4: there's UH, there's there's there's pros, and there's cons However,

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Speaker 4: it is coming. This is an enormous transformation, and I think, UH,

434
00:23:33,960 --> 00:23:38,000
Speaker 4: we need to lean into it and recognize that leadership

435
00:23:38,720 --> 00:23:41,840
Speaker 4: UH and controlling our destiny is. We can't put our

436
00:23:41,840 --> 00:23:43,760
Speaker 4: heads in the sand and think this isn't happening. Controlling

437
00:23:43,760 --> 00:23:47,440
Speaker 4: our destiny as a nation, as a commonwealth in Pennsylvania,

438
00:23:47,880 --> 00:23:50,479
Speaker 4: and as individuals is the only way through it. And

439
00:23:50,520 --> 00:23:53,919
Speaker 4: I agree with you it's uh. In many ways, AI

440
00:23:54,080 --> 00:23:57,159
Speaker 4: is going to ensure and enforce even more of a

441
00:23:57,240 --> 00:24:01,800
Speaker 4: meritocracy in the sense that those who can contribute unique value,

442
00:24:02,240 --> 00:24:03,840
Speaker 4: I think are going to be the beneficiaries of it.

443
00:24:03,880 --> 00:24:06,040
Speaker 4: And as I said, it's not like it's iron. The

444
00:24:06,119 --> 00:24:09,800
Speaker 4: irony is. I think those with you know, unique skills,

445
00:24:10,280 --> 00:24:12,520
Speaker 4: h in the in the in the building trades, in

446
00:24:12,560 --> 00:24:15,160
Speaker 4: the blue collar world may have a really unique moment.

447
00:24:16,840 --> 00:24:19,960
Speaker 1: You know, Senator, I saw that the that that Google

448
00:24:20,359 --> 00:24:23,199
Speaker 1: is working through what is a brook Field two. And

449
00:24:23,280 --> 00:24:25,600
Speaker 1: this came up at the AI summit to yeah, to

450
00:24:25,640 --> 00:24:30,560
Speaker 1: get access to hydro electric power plants. Right, So, the

451
00:24:30,560 --> 00:24:33,720
Speaker 1: the energy needs of this AI revolution.

452
00:24:33,480 --> 00:24:34,320
Speaker 2: Are going to be.

453
00:24:36,040 --> 00:24:39,680
Speaker 1: A challenge all on all on its own and all

454
00:24:39,720 --> 00:24:41,919
Speaker 1: on their own. And so I'm just wondering if we

455
00:24:41,960 --> 00:24:44,920
Speaker 1: have some sense as to one, how much of an

456
00:24:44,960 --> 00:24:47,639
Speaker 1: expansion of the of the grid we're going to need.

457
00:24:48,000 --> 00:24:51,480
Speaker 1: And then how is the Trump administration trying to align

458
00:24:51,920 --> 00:24:56,160
Speaker 1: with the not just the the idea of drill, baby, drill,

459
00:24:56,280 --> 00:25:00,119
Speaker 1: but everything. We're talking nuclear, all all of the a

460
00:25:00,160 --> 00:25:02,600
Speaker 1: ball to try to meet what's going to be power

461
00:25:02,680 --> 00:25:05,520
Speaker 1: needs a surge beyond anything we've seen before.

462
00:25:06,320 --> 00:25:08,840
Speaker 4: I mean, I'm guys, this this thing was awesome. I

463
00:25:08,880 --> 00:25:12,000
Speaker 4: mean I was so proud, proud to be part of it.

464
00:25:12,040 --> 00:25:14,639
Speaker 4: And it was you know, we had we had sixty

465
00:25:14,680 --> 00:25:18,480
Speaker 4: major CEOs, twenty companies that made announcements and and you know,

466
00:25:18,560 --> 00:25:20,960
Speaker 4: this was something I had asked the president if he

467
00:25:21,240 --> 00:25:22,960
Speaker 4: if he'd be willing to do, right right after I

468
00:25:23,000 --> 00:25:25,119
Speaker 4: won the election, I said, would you come to Pennsylvania?

469
00:25:25,119 --> 00:25:28,760
Speaker 4: You know, he had campaigned uh in twenty seventeen, he

470
00:25:28,760 --> 00:25:31,000
Speaker 4: had made the famous line that I'm more worried about

471
00:25:31,040 --> 00:25:34,119
Speaker 4: serving the people of Pittsburgh than the people of Paris

472
00:25:34,960 --> 00:25:37,639
Speaker 4: as related to the Paris. Of course, so he comes,

473
00:25:37,720 --> 00:25:40,760
Speaker 4: we invite, we invite these CEOs. We have, you know,

474
00:25:41,400 --> 00:25:43,479
Speaker 4: a big chunk of the cabinet. There Sar tree Besson,

475
00:25:43,560 --> 00:25:47,560
Speaker 4: secretary at Lutnik, Sar try Bergham Sectory, right, Lee Zelden,

476
00:25:47,680 --> 00:25:52,560
Speaker 4: David Sachs. Just this unbelievable collection, and the CEO is there.

477
00:25:52,600 --> 00:25:56,960
Speaker 4: Announced ninety two billion dollars of investment. This is in

478
00:25:57,040 --> 00:25:58,840
Speaker 4: Some of these things have been working on for years.

479
00:25:58,880 --> 00:26:00,760
Speaker 4: Some of these things are are brand new out of

480
00:26:00,760 --> 00:26:04,240
Speaker 4: the blue. Twenty five billion dollar investment by Blackstone in

481
00:26:04,400 --> 00:26:10,800
Speaker 4: two major data center campuses in northeastern Pennsylvania. And if

482
00:26:10,800 --> 00:26:13,080
Speaker 4: you look at the investments, they split up, which is

483
00:26:13,080 --> 00:26:16,080
Speaker 4: instructive to your question about thirty six billion dollars of

484
00:26:16,200 --> 00:26:20,720
Speaker 4: data centers. There was another thirty five billion dollars of

485
00:26:21,040 --> 00:26:26,800
Speaker 4: energy infrastructure. This is transmission to meet the needs distribution operations.

486
00:26:26,800 --> 00:26:30,000
Speaker 4: First Energy made a huge fifteen billion dollar announcement of

487
00:26:30,040 --> 00:26:33,119
Speaker 4: investing in energy infrastructure. Because you've got to have the

488
00:26:33,200 --> 00:26:35,880
Speaker 4: data centers, you've got to have the infrastructure, and you've

489
00:26:35,880 --> 00:26:39,119
Speaker 4: got to have the energy project. So there was a

490
00:26:39,200 --> 00:26:45,200
Speaker 4: huge announcements around conversions of coal to natural gas plants.

491
00:26:45,640 --> 00:26:50,359
Speaker 4: A Westinghouse, directly related to the President's Executive Order on

492
00:26:50,480 --> 00:26:54,720
Speaker 4: Nuclear Power announced commitment to building two or a ten

493
00:26:55,280 --> 00:26:59,879
Speaker 4: new nuclear reactors six billion dollars. So to your question,

494
00:27:00,920 --> 00:27:03,439
Speaker 4: to make this work, you need investment in data, you

495
00:27:03,480 --> 00:27:08,000
Speaker 4: need investment in infrastructure, you need investment in production. And

496
00:27:08,080 --> 00:27:10,560
Speaker 4: Pennsylvania is kind of unique because we've got we're the

497
00:27:10,560 --> 00:27:14,399
Speaker 4: second largest energy producer in the country, fourth largest natural

498
00:27:14,400 --> 00:27:18,639
Speaker 4: gas reserves in the world, huge nuclear installed base. You know,

499
00:27:18,720 --> 00:27:22,919
Speaker 4: microsoftist did a big deal with Constellation on Three Mile Island.

500
00:27:23,280 --> 00:27:25,880
Speaker 4: Who would have thought. So, you know, there's no way

501
00:27:25,920 --> 00:27:28,520
Speaker 4: to meet this energy demand, which is going to triple

502
00:27:28,760 --> 00:27:31,359
Speaker 4: in the next fifteen years without embracing all forms of energy.

503
00:27:31,400 --> 00:27:33,920
Speaker 4: That doesn't mean subsidizing them. What they've got to be

504
00:27:34,000 --> 00:27:38,200
Speaker 4: economic all forms of energy, and then having the infrastructure

505
00:27:38,280 --> 00:27:41,400
Speaker 4: to make sure that we keep prices low for consumers

506
00:27:41,760 --> 00:27:44,320
Speaker 4: and that we meet this big surge and create these

507
00:27:44,320 --> 00:27:46,520
Speaker 4: great jobs for Pennsylvania's.

508
00:27:46,880 --> 00:27:48,679
Speaker 3: Last question for you, and you can tell me if

509
00:27:48,720 --> 00:27:51,439
Speaker 3: you think I'm crazy. I know you were at Butler,

510
00:27:51,480 --> 00:27:54,720
Speaker 3: Pennsylvania we've talked with you as the one year anniversary

511
00:27:54,800 --> 00:27:57,280
Speaker 3: comes near, We've talked with you about what that experience

512
00:27:57,359 --> 00:28:00,520
Speaker 3: was like. You've heard gunfire before you immediately wrecking it.

513
00:28:01,080 --> 00:28:03,080
Speaker 3: I said on the show this week, as we talked

514
00:28:03,080 --> 00:28:06,440
Speaker 3: about the one year anniversary and the implications and significance

515
00:28:06,720 --> 00:28:10,119
Speaker 3: that I thought Butler pa that location should become a

516
00:28:10,200 --> 00:28:15,480
Speaker 3: national monument of sorts, used as a not only historical location,

517
00:28:15,680 --> 00:28:20,720
Speaker 3: but also as a testament to combating political violence. Is

518
00:28:20,760 --> 00:28:23,320
Speaker 3: this a crazy idea or do you think idea?

519
00:28:23,880 --> 00:28:27,240
Speaker 4: I love it. I love it, Clay, and I loved.

520
00:28:27,000 --> 00:28:28,840
Speaker 1: It too, Senator. So Clay is getting a lot of

521
00:28:28,880 --> 00:28:30,200
Speaker 1: traction here, a lot of the audience.

522
00:28:30,640 --> 00:28:33,720
Speaker 3: Well can I help you? And you've got a lot

523
00:28:33,760 --> 00:28:36,359
Speaker 3: more influence on this, But this is your state. I

524
00:28:36,400 --> 00:28:38,440
Speaker 3: don't want that place. And look, I live on the

525
00:28:38,480 --> 00:28:41,840
Speaker 3: battlefield of Franklin, Tennessee. You know, I'm a history nerd.

526
00:28:42,280 --> 00:28:46,240
Speaker 3: Sometimes history gets paved over and we forget decades, one

527
00:28:46,320 --> 00:28:48,280
Speaker 3: hundred years later. You're like, man, I wish I could

528
00:28:48,360 --> 00:28:51,360
Speaker 3: really see this battlefield, or I wish I could experience

529
00:28:51,400 --> 00:28:54,680
Speaker 3: the significance of this place as it might have looked

530
00:28:54,760 --> 00:28:58,920
Speaker 3: then and understand why it's culturally resonant to me, Butler

531
00:28:59,040 --> 00:29:01,960
Speaker 3: can be that not only today, but I think as

532
00:29:02,000 --> 00:29:05,520
Speaker 3: the passions of the day fade, for kids and grandkids

533
00:29:05,560 --> 00:29:07,840
Speaker 3: out there who want to study the Trump era and

534
00:29:07,960 --> 00:29:10,880
Speaker 3: understand how close we came to disaster there. I like

535
00:29:10,960 --> 00:29:15,040
Speaker 3: the idea of creating a monument that's opposed to political violence. Thankfully,

536
00:29:15,080 --> 00:29:17,280
Speaker 3: it wasn't a side of political violence. We don't have

537
00:29:17,320 --> 00:29:21,440
Speaker 3: to be an RFK, MLK or JFK like site, but

538
00:29:21,800 --> 00:29:25,240
Speaker 3: so it's not Dally Plaza, thankfully, but why not create

539
00:29:25,320 --> 00:29:27,640
Speaker 3: something that is significant there and longed.

540
00:29:27,680 --> 00:29:29,840
Speaker 4: I think it's a great idea. I hadn't thought of it,

541
00:29:29,880 --> 00:29:33,360
Speaker 4: but it's a great idea. And I do think memorializing

542
00:29:33,680 --> 00:29:36,040
Speaker 4: what happened there. And frankly, you know you've been a

543
00:29:36,080 --> 00:29:38,880
Speaker 4: strong voice in this. This is across political parties. You know,

544
00:29:38,960 --> 00:29:41,960
Speaker 4: not long ago we had an arson attack on our

545
00:29:41,960 --> 00:29:44,840
Speaker 4: governor here in Pennsylvania, who's a Democrat, so correct, we

546
00:29:44,880 --> 00:29:48,719
Speaker 4: need to speak out clearly and decisively against political violence,

547
00:29:48,760 --> 00:29:52,000
Speaker 4: and I think memorializing I say that to people you know,

548
00:29:52,160 --> 00:29:54,040
Speaker 4: as you know I was right there on the stage. Yes,

549
00:29:54,360 --> 00:29:59,040
Speaker 4: it's like being next to the limousine when Kennedy was

550
00:29:59,080 --> 00:30:03,080
Speaker 4: shot at convertible in Dallas, like this is. This is

551
00:30:03,080 --> 00:30:07,120
Speaker 4: an iconic moment of American history. And thank god, yes

552
00:30:07,640 --> 00:30:11,720
Speaker 4: that we missed the sniper, missed the president of the

553
00:30:11,720 --> 00:30:14,440
Speaker 4: assassin missed present the president by an inch. And I

554
00:30:14,480 --> 00:30:16,840
Speaker 4: love the idea of memorialize that. So that's something maybe

555
00:30:16,840 --> 00:30:18,920
Speaker 4: we can talk about offline. But I like that idea, Clay,

556
00:30:18,920 --> 00:30:21,480
Speaker 4: and you know you're listen. You're a You're a font

557
00:30:21,840 --> 00:30:22,560
Speaker 4: of good ideas.

558
00:30:22,760 --> 00:30:26,840
Speaker 1: Is he always likes to fuck He certainly has the

559
00:30:26,880 --> 00:30:29,000
Speaker 1: confidence for it. I will say, I will.

560
00:30:29,360 --> 00:30:32,200
Speaker 3: I'm not saying everything is brilliant, but I do have

561
00:30:32,840 --> 00:30:35,040
Speaker 3: to me this is one that does make sense. Poor

562
00:30:35,120 --> 00:30:37,240
Speaker 3: Bock has to listen to ideas like this all day.

563
00:30:37,240 --> 00:30:39,640
Speaker 3: But Senator, you can help make this happen. I'd just

564
00:30:39,720 --> 00:30:41,800
Speaker 3: like to see the site preserved. And I do think

565
00:30:41,880 --> 00:30:45,680
Speaker 3: it's a it's a worthy idea for generations to come.

566
00:30:46,360 --> 00:30:47,120
Speaker 4: It's a great idea.

567
00:30:47,200 --> 00:30:49,480
Speaker 3: Let me run with it. Thank you, Claig, all right,

568
00:30:49,520 --> 00:30:51,920
Speaker 3: thank you that. Senator Dave McCormick. Thankful that he won,

569
00:30:52,080 --> 00:30:55,560
Speaker 3: great state of Pennsylvania. We'll come back, we'll talk more

570
00:30:55,560 --> 00:30:57,800
Speaker 3: about this and more. Eight hundred and two two.

571
00:30:57,840 --> 00:30:58,320
Speaker 2: Aight, a two.

572
00:30:58,360 --> 00:31:00,720
Speaker 3: But I want to tell you I was in Atlanta

573
00:31:00,760 --> 00:31:03,040
Speaker 3: thanks to our affiliate down in Atlanta for hosting me

574
00:31:03,080 --> 00:31:04,720
Speaker 3: for the All Star Game in the home run derby,

575
00:31:05,080 --> 00:31:08,080
Speaker 3: and I hung out with a lot of the executives

576
00:31:08,160 --> 00:31:11,320
Speaker 3: with Prize Picks. I love these guys. They have built

577
00:31:11,520 --> 00:31:14,680
Speaker 3: a really great business that just makes sports more fun.

578
00:31:14,920 --> 00:31:17,400
Speaker 3: Whether you like Major League Baseball, whether you like golf,

579
00:31:17,440 --> 00:31:20,240
Speaker 3: the British Open, the Open Championship for those of you

580
00:31:20,240 --> 00:31:23,600
Speaker 3: who are real sticklers is underway right now. Gonna be

581
00:31:23,640 --> 00:31:27,040
Speaker 3: a lot of fun, difficult course and conditions over there.

582
00:31:27,720 --> 00:31:32,440
Speaker 3: But whatever you like, golf, tennis, football, basketball, baseball, whatever

583
00:31:32,480 --> 00:31:34,120
Speaker 3: your sport is, you can have more fun with it

584
00:31:34,160 --> 00:31:37,280
Speaker 3: at price Picks. And they'll give you fifty dollars to

585
00:31:37,360 --> 00:31:39,920
Speaker 3: test it out when you play just five dollars all

586
00:31:39,960 --> 00:31:43,200
Speaker 3: over the country. Pricepicks dot com code Clay, that is

587
00:31:43,240 --> 00:31:46,800
Speaker 3: prizepicks dot com code Clay. Get hooked up today, check

588
00:31:46,840 --> 00:31:48,640
Speaker 3: it out. I promise you're gonna love it. We're gonna

589
00:31:48,640 --> 00:31:51,160
Speaker 3: have picks for you during football season and hopefully we

590
00:31:51,200 --> 00:31:54,920
Speaker 3: can get some more winners. Prizepicks dot Com Code Clay.

591
00:31:55,600 --> 00:32:00,640
Speaker 5: Stories are freedom stories of America. Inspirational stories that you

592
00:32:00,720 --> 00:32:04,000
Speaker 5: unite us all each day, spend time with Clay and

593
00:32:04,160 --> 00:32:08,000
Speaker 5: buy find them on the free iHeartRadio app or wherever

594
00:32:08,080 --> 00:32:09,400
Speaker 5: you get your podcasts.

595
00:32:10,680 --> 00:32:14,840
Speaker 3: Welcome back in Clay Travis buck Sexton Show. Appreciate all

596
00:32:14,880 --> 00:32:17,480
Speaker 3: of you hanging out with us. We're rolling through the

597
00:32:17,480 --> 00:32:20,920
Speaker 3: Friday edition of the program. And I mentioned this off

598
00:32:20,960 --> 00:32:24,000
Speaker 3: the top, but I do, and let me just also

599
00:32:24,040 --> 00:32:26,680
Speaker 3: mention we had a quick turn there. But I think

600
00:32:26,760 --> 00:32:31,680
Speaker 3: the Butler PA Memorial Site, National monument. We're gonna make

601
00:32:31,720 --> 00:32:35,520
Speaker 3: this happen, and it's gonna make some people angry because

602
00:32:35,520 --> 00:32:38,360
Speaker 3: they're gonna be like you can imagine what they would say.

603
00:32:38,600 --> 00:32:40,840
Speaker 3: They're the kind of people who in modern day, even

604
00:32:40,880 --> 00:32:43,640
Speaker 3: without course it's on, would have such low testosterone that

605
00:32:43,680 --> 00:32:46,200
Speaker 3: they might need to fall onto fainting couch as men.

606
00:32:46,640 --> 00:32:49,520
Speaker 3: Because Trump gives them the vapors to tie that in.

607
00:32:50,440 --> 00:32:53,240
Speaker 3: They definitely are offended by my body language about bucks

608
00:32:53,280 --> 00:32:57,440
Speaker 3: and women, but in general, I think this is a

609
00:32:57,440 --> 00:33:02,960
Speaker 3: no brainer. I also think the amount of winning sometimes

610
00:33:03,200 --> 00:33:08,760
Speaker 3: gets lost because there is this expectation I think in

611
00:33:08,800 --> 00:33:13,120
Speaker 3: life to focus oftentimes on what you're not getting as

612
00:33:13,160 --> 00:33:16,320
Speaker 3: opposed to what you are getting and We're getting a

613
00:33:16,360 --> 00:33:19,040
Speaker 3: pretty awesome six months so far from Trump. And it's

614
00:33:19,120 --> 00:33:22,200
Speaker 3: not only inside of the Trump world. It's also the

615
00:33:22,280 --> 00:33:27,120
Speaker 3: larger cultural surroundings. And I think that's significant because, yes,

616
00:33:27,360 --> 00:33:29,840
Speaker 3: you all out there listening to us right now. You

617
00:33:29,920 --> 00:33:32,400
Speaker 3: know what's going on in the world politically, you know

618
00:33:32,440 --> 00:33:35,479
Speaker 3: what's going on with foreign affairs. You are plugged in.

619
00:33:35,840 --> 00:33:38,280
Speaker 3: Thank you for hanging out with us every day. Most

620
00:33:38,320 --> 00:33:42,560
Speaker 3: people aren't, y'all. Most people are super busy. They don't

621
00:33:42,600 --> 00:33:45,880
Speaker 3: really know what's going on politically, but they are impacted

622
00:33:45,920 --> 00:33:49,040
Speaker 3: by the larger cultural universe. Those people are maybe even

623
00:33:49,080 --> 00:33:53,720
Speaker 3: more impacted by left wing political thought without recognizing that

624
00:33:53,800 --> 00:33:57,200
Speaker 3: they're being impacted by left wing political thought. And I

625
00:33:57,240 --> 00:33:59,840
Speaker 3: bring that up because something that I think is significant

626
00:33:59,840 --> 00:34:05,000
Speaker 3: happened yesterday in the cultural landscape, and it's connected NPR

627
00:34:05,120 --> 00:34:10,040
Speaker 3: and PBS taxpayer funding. After basically forty years of attempting

628
00:34:10,080 --> 00:34:13,040
Speaker 3: to do it two generations, Trump did it. The money

629
00:34:13,080 --> 00:34:15,799
Speaker 3: that you and I give to the federal government that

630
00:34:15,800 --> 00:34:21,840
Speaker 3: then is routed to NPR and PBS taxpayer money is over. Simultaneously,

631
00:34:22,400 --> 00:34:27,839
Speaker 3: Stephen Colbert was fired. They're basically ending his show. And

632
00:34:27,880 --> 00:34:30,919
Speaker 3: I dove into some of the economics on this show.

633
00:34:30,920 --> 00:34:33,799
Speaker 3: I know a little bit right with the economics of

634
00:34:33,840 --> 00:34:37,040
Speaker 3: this radio show. I've obviously done a lot of Fox News,

635
00:34:37,120 --> 00:34:40,800
Speaker 3: I produce and help run, and have run digital shows

636
00:34:40,840 --> 00:34:44,520
Speaker 3: for some time through OutKick, so I'm aware of what

637
00:34:44,640 --> 00:34:50,600
Speaker 3: shows cost. The Colbert Show budget blew my mind. Let

638
00:34:50,640 --> 00:34:54,080
Speaker 3: me hit you with a few stats here. Stephen Colbert

639
00:34:54,200 --> 00:34:59,919
Speaker 3: had two hundred employees working on his show. They had

640
00:35:00,080 --> 00:35:04,319
Speaker 3: two hundred brains trying to make you laugh, and they

641
00:35:04,360 --> 00:35:08,480
Speaker 3: failed because he went full on politics. They couldn't remotely

642
00:35:08,520 --> 00:35:12,360
Speaker 3: be funny. The show had a budget of one hundred

643
00:35:12,840 --> 00:35:18,560
Speaker 3: and thirty million dollars. Putting that into sports context, team

644
00:35:18,600 --> 00:35:22,160
Speaker 3: looked this up. I believe the Florida Marlins, or the

645
00:35:22,200 --> 00:35:25,880
Speaker 3: Miami Marlins as they are known now, the whole baseball

646
00:35:25,880 --> 00:35:30,560
Speaker 3: team gets paid sixty seven million dollars. Steven Colbert's TV

647
00:35:30,719 --> 00:35:35,759
Speaker 3: show had twice the budget of the entire Miami Marlins

648
00:35:35,840 --> 00:35:43,239
Speaker 3: professional baseball player team budget. And Stephen Colbert made fifteen

649
00:35:43,400 --> 00:35:48,400
Speaker 3: million dollars on this show. And he's now gone, and

650
00:35:48,440 --> 00:35:50,160
Speaker 3: the show is going to be canceled in May, and

651
00:35:50,200 --> 00:35:52,319
Speaker 3: I believe we have some fun audio of this the

652
00:35:52,360 --> 00:35:56,640
Speaker 3: final This is too perfect the final guest when the

653
00:35:57,000 --> 00:36:00,680
Speaker 3: first guest after shounced his show, exactly who you'd want

654
00:36:00,680 --> 00:36:03,200
Speaker 3: to have on if you're trying to entertain people at

655
00:36:03,280 --> 00:36:05,279
Speaker 3: night before they go to sleep, and you know, give

656
00:36:05,280 --> 00:36:07,400
Speaker 3: them you want Adam schiff On, if you want somebody

657
00:36:07,400 --> 00:36:13,680
Speaker 3: who's really funny. Look, Stephen Colbert had a platform handed

658
00:36:13,719 --> 00:36:17,680
Speaker 3: to him that he didn't build, that he didn't honor

659
00:36:18,160 --> 00:36:22,200
Speaker 3: by doing the thing that he first and foremost should

660
00:36:22,280 --> 00:36:23,799
Speaker 3: have done, the mission of that role.

661
00:36:23,840 --> 00:36:25,680
Speaker 1: Like we always say here, hey, this is the house

662
00:36:25,719 --> 00:36:27,840
Speaker 1: that Rush built. Our mission is to serve you the audience,

663
00:36:27,840 --> 00:36:29,960
Speaker 1: as best we can every single day and carry on

664
00:36:30,040 --> 00:36:33,839
Speaker 1: Rush's legacy. Stephen Colbert's mission should have been obviously it's

665
00:36:33,840 --> 00:36:36,399
Speaker 1: a different platform, different role. His mission should have been

666
00:36:36,640 --> 00:36:39,560
Speaker 1: to make the American people laugh and relax, to the

667
00:36:39,560 --> 00:36:41,920
Speaker 1: greatest of his ability, all people, just to make people

668
00:36:41,960 --> 00:36:45,080
Speaker 1: laugh at night. And instead he decided that he was

669
00:36:45,120 --> 00:36:48,600
Speaker 1: going to join the ranks of the Trump deranged and

670
00:36:48,719 --> 00:36:52,560
Speaker 1: pander to the political proclivities of a bunch of crybabies

671
00:36:52,680 --> 00:36:56,120
Speaker 1: who can't handle that they can't live in reality. So

672
00:36:56,600 --> 00:37:02,200
Speaker 1: this was a richly deserved cancelation. Stephen Colbert destroyed the

673
00:37:02,280 --> 00:37:05,360
Speaker 1: audience that he was given. Uh and the fact that

674
00:37:05,400 --> 00:37:06,880
Speaker 1: he was getting paid as much as he did is

675
00:37:06,920 --> 00:37:09,960
Speaker 1: an absurdity. And it's just a corporate really a corporate

676
00:37:10,040 --> 00:37:15,200
Speaker 1: legacy thing that he was able to seize for himself

677
00:37:15,280 --> 00:37:18,000
Speaker 1: to get that kind of a price tag. And now

678
00:37:18,040 --> 00:37:19,640
Speaker 1: I think we don't have to really hear much or

679
00:37:19,640 --> 00:37:21,879
Speaker 1: deal with him. He's not a great stand up. He's

680
00:37:21,880 --> 00:37:23,640
Speaker 1: not going to go on to do great things. He'll

681
00:37:23,640 --> 00:37:27,960
Speaker 1: probably launch some crappy podcast that will get a boosh

682
00:37:28,000 --> 00:37:30,520
Speaker 1: for about two months play. And then he realized, wait,

683
00:37:30,880 --> 00:37:32,279
Speaker 1: no one actually really cares what I.

684
00:37:32,160 --> 00:37:32,640
Speaker 2: Have to say.

685
00:37:33,840 --> 00:37:36,640
Speaker 3: So let me ask you this. Were you, I know

686
00:37:36,680 --> 00:37:38,759
Speaker 3: we've talked about this a little bit before. Were you

687
00:37:39,120 --> 00:37:42,719
Speaker 3: a late night TV show viewer back in the day,

688
00:37:42,760 --> 00:37:43,360
Speaker 3: maybe when.

689
00:37:43,239 --> 00:37:45,440
Speaker 1: I was really young, I was a Leno guy. Even

690
00:37:45,480 --> 00:37:46,680
Speaker 1: though I grew up in New York, I was a

691
00:37:46,719 --> 00:37:47,279
Speaker 1: Leno guy.

692
00:37:47,680 --> 00:37:50,480
Speaker 3: Okay, So I loved the Letterman and I loved a

693
00:37:50,560 --> 00:37:54,040
Speaker 3: Letterman even when he was on after for the Late

694
00:37:54,320 --> 00:37:57,000
Speaker 3: Late Late or what was it called late Night, which

695
00:37:57,880 --> 00:38:00,600
Speaker 3: where you realized definitely two different people on the show

696
00:38:00,719 --> 00:38:02,920
Speaker 3: thinking about very things, thinking about things in a very

697
00:38:02,960 --> 00:38:06,600
Speaker 3: different way. I always thought Letterman was a total just

698
00:38:06,680 --> 00:38:09,439
Speaker 3: a total product of the machine, not funny at all,

699
00:38:09,520 --> 00:38:13,840
Speaker 3: and a smarmy jerk. Oh jerk, oh wow. I really

700
00:38:14,000 --> 00:38:18,919
Speaker 3: liked Letterman. But what I will say is, first of all,

701
00:38:19,120 --> 00:38:20,880
Speaker 3: most of the time, when you're a kid, you're not

702
00:38:20,960 --> 00:38:23,560
Speaker 3: able to stay up. I loved staying up. I felt

703
00:38:23,560 --> 00:38:27,760
Speaker 3: like in the summers, this is a whole different the topic,

704
00:38:28,120 --> 00:38:31,080
Speaker 3: but in the summers, basically, I was just home all

705
00:38:31,160 --> 00:38:36,320
Speaker 3: day by myself. My kids now have a billion different

706
00:38:36,400 --> 00:38:39,759
Speaker 3: summer camps that they go to for sports, and they

707
00:38:39,800 --> 00:38:44,200
Speaker 3: go to all these different events.

708
00:38:44,800 --> 00:38:46,320
Speaker 2: I was at home.

709
00:38:46,760 --> 00:38:50,480
Speaker 3: I would read, and I would watch the Chicago Cubs

710
00:38:50,520 --> 00:38:54,280
Speaker 3: and Harry Carey on WGN, and then I would watch

711
00:38:54,360 --> 00:38:57,480
Speaker 3: like baseball because the Cubs used to play only during

712
00:38:57,520 --> 00:38:59,719
Speaker 3: the day, and I would stay up late and I

713
00:38:59,719 --> 00:39:02,120
Speaker 3: would watched David Letterman most nights. And he came on

714
00:39:02,239 --> 00:39:06,239
Speaker 3: I think at eleven thirty Central Time in Nashville, and

715
00:39:06,280 --> 00:39:09,520
Speaker 3: he was after Johnny Carson back in the day, if

716
00:39:09,560 --> 00:39:12,560
Speaker 3: I remember correctly, and then after Jay Wino eventually if

717
00:39:12,600 --> 00:39:15,279
Speaker 3: I remember it correctly, and then obviously he left and

718
00:39:15,280 --> 00:39:16,640
Speaker 3: he went to the Late Show, and this is the

719
00:39:16,640 --> 00:39:19,000
Speaker 3: show that's now being canceled that Colbert has followed him.

720
00:39:19,040 --> 00:39:23,279
Speaker 2: On Colbert, I'm goad, I always like.

721
00:39:23,560 --> 00:39:26,960
Speaker 1: I like Craig Ferguson, I Scottish bad. Yeah, I thought

722
00:39:27,000 --> 00:39:28,759
Speaker 1: he was. I thought he was funny. I thought he

723
00:39:28,840 --> 00:39:31,839
Speaker 1: was and very self effacing. I didn't watch him religiously,

724
00:39:32,360 --> 00:39:35,160
Speaker 1: but I remember whenever I would stumble on to him.

725
00:39:35,239 --> 00:39:36,960
Speaker 1: I really I'd say I watched Late Night from like

726
00:39:37,000 --> 00:39:39,960
Speaker 1: seventh grade, maybe through high school, so about four or

727
00:39:40,000 --> 00:39:42,960
Speaker 1: five years would have been like, you know, the late nineties,

728
00:39:43,000 --> 00:39:46,920
Speaker 1: early two thousands, and I thought Craig Ferguson was maybe

729
00:39:46,920 --> 00:39:48,440
Speaker 1: that was even later on. I forget when he was on,

730
00:39:48,520 --> 00:39:51,239
Speaker 1: but he was pretty funny. And I'm actually I like

731
00:39:51,360 --> 00:39:52,000
Speaker 1: Conan too.

732
00:39:52,440 --> 00:39:52,680
Speaker 2: Really.

733
00:39:52,760 --> 00:39:54,640
Speaker 1: The only one I don't like is Letterman and oh

734
00:39:54,719 --> 00:39:56,560
Speaker 1: no that's not true. And then the current crop are

735
00:39:56,600 --> 00:40:00,960
Speaker 1: all garbage, garbage, Okay. I So if you had told

736
00:40:01,000 --> 00:40:03,120
Speaker 1: me when I was fourteen or fifteen, hey, you get

737
00:40:03,120 --> 00:40:05,839
Speaker 1: to have any job in media, there would have been

738
00:40:05,880 --> 00:40:08,240
Speaker 1: two jobs in media that I wanted fourteen or fifteen

739
00:40:08,280 --> 00:40:08,719
Speaker 1: years old.

740
00:40:09,239 --> 00:40:11,919
Speaker 3: I would have wanted to be like late night talk

741
00:40:11,960 --> 00:40:14,600
Speaker 3: show host. Seems like an incredible job. You're trying to

742
00:40:14,640 --> 00:40:19,600
Speaker 3: make people laugh you're even parts Democrat Republican, you know, ridicule.

743
00:40:20,000 --> 00:40:22,240
Speaker 3: And the other one would have been Sports center anchor.

744
00:40:22,840 --> 00:40:24,759
Speaker 3: I would have the idea that you got to go

745
00:40:24,800 --> 00:40:26,600
Speaker 3: on talk about sports. I would have said those were

746
00:40:26,640 --> 00:40:28,520
Speaker 3: the two that I would say are the best possible

747
00:40:28,600 --> 00:40:33,000
Speaker 3: jobs in media. I think Colbert's legacy is he destroyed

748
00:40:33,080 --> 00:40:37,319
Speaker 3: late night television, because it's one thing if you fail, right,

749
00:40:37,360 --> 00:40:40,640
Speaker 3: if Stephen Colbert had a show and he had failed,

750
00:40:40,920 --> 00:40:43,799
Speaker 3: that happens, right. Everybody gets canceled at some point in time.

751
00:40:43,960 --> 00:40:46,200
Speaker 3: If you do movies, they don't always they're not always

752
00:40:46,200 --> 00:40:50,400
Speaker 3: box office huge successes. If you do media long enough,

753
00:40:50,840 --> 00:40:53,680
Speaker 3: you're probably going to get fired somewhere, or your company's

754
00:40:53,719 --> 00:40:55,719
Speaker 3: going to go bankrupt and you're going to have to

755
00:40:55,719 --> 00:40:58,120
Speaker 3: find a new job. Just FYI, that's happened to Buck,

756
00:40:58,200 --> 00:41:01,600
Speaker 3: That's happened to me. Like that's life in the media universe.

757
00:41:02,440 --> 00:41:07,840
Speaker 3: I will say Colbert was bombing. He decided to turn

758
00:41:07,960 --> 00:41:14,160
Speaker 3: his comedy show into left wing propaganda, and everybody else

759
00:41:14,239 --> 00:41:19,120
Speaker 3: followed him. Jimmy Fallon followed him, Jimmy Kimmel followed him.

760
00:41:19,440 --> 00:41:22,719
Speaker 3: Gutfeld obviously went a different direction at Fox News, but

761
00:41:22,800 --> 00:41:25,560
Speaker 3: the legacy of Colbert is not only that he's getting

762
00:41:25,640 --> 00:41:29,319
Speaker 3: canceled now, it's that he destroyed late night television once

763
00:41:29,360 --> 00:41:33,959
Speaker 3: and for all. Whatever you thought about Letterman Leno back

764
00:41:34,000 --> 00:41:37,360
Speaker 3: in the day, Conan, whatever you thought about Johnny Carson,

765
00:41:37,800 --> 00:41:41,400
Speaker 3: that was I think a cultural connective tissue. Late at

766
00:41:41,480 --> 00:41:43,879
Speaker 3: night people would put on those shows. They would kick back,

767
00:41:43,920 --> 00:41:46,000
Speaker 3: they would laugh, and they would get ready for bed,

768
00:41:46,960 --> 00:41:49,200
Speaker 3: And now it doesn't exist. I think all these shows

769
00:41:49,239 --> 00:41:52,120
Speaker 3: are going to get canceled, and I think they killed themselves.

770
00:41:52,560 --> 00:41:54,680
Speaker 3: And I think Gutfeld will continue. And I know a

771
00:41:54,680 --> 00:41:56,919
Speaker 3: lot of you probably watched that on Fox News at night.

772
00:41:57,200 --> 00:42:00,440
Speaker 3: But I do think it's unfortunate that that in entire

773
00:42:00,920 --> 00:42:04,879
Speaker 3: cottage industry is basically going to vanish. I really do,

774
00:42:05,320 --> 00:42:09,360
Speaker 3: and I'm going to miss it now. People might say, oh, well,

775
00:42:10,000 --> 00:42:13,440
Speaker 3: the podcast universe, whether it's Theo Vaughn, who is a

776
00:42:13,560 --> 00:42:17,640
Speaker 3: Nashville based guy, or there's all these different comedy podcasts.

777
00:42:17,640 --> 00:42:20,719
Speaker 3: Certainly Joe Rogan has an element of this, and maybe

778
00:42:20,719 --> 00:42:23,719
Speaker 3: people watch those now that would have watched late night television,

779
00:42:23,719 --> 00:42:26,360
Speaker 3: and that's the biggest combatant. But I do think if

780
00:42:26,440 --> 00:42:29,400
Speaker 3: Colbert hadn't gone left wing political, I don't think his

781
00:42:29,440 --> 00:42:32,239
Speaker 3: show would be getting canceled right now. I think there

782
00:42:32,239 --> 00:42:35,440
Speaker 3: would have been enough longevity in those shows that everybody

783
00:42:35,440 --> 00:42:38,319
Speaker 3: else wouldn't have followed him over the woke waterfall. If

784
00:42:38,440 --> 00:42:40,360
Speaker 3: all they had to do was make fun of Democrats

785
00:42:40,400 --> 00:42:42,759
Speaker 3: and Republicans, that's all we had to do. I think

786
00:42:42,760 --> 00:42:45,400
Speaker 3: that he chose to selfish an easy route, which was

787
00:42:45,400 --> 00:42:47,960
Speaker 3: to just turn his show into the New York Times

788
00:42:48,080 --> 00:42:50,760
Speaker 3: editorial page with jokes.

789
00:42:50,360 --> 00:42:51,640
Speaker 2: Yes, which is what it became.

790
00:42:51,880 --> 00:42:55,279
Speaker 1: And it also was really sanctimonious and kind of mean

791
00:42:55,360 --> 00:42:58,000
Speaker 1: spirited a lot of the time, and instead of.

792
00:42:58,000 --> 00:43:01,359
Speaker 2: Just you know, you can make jokes. Look, Shane gillis.

793
00:43:01,040 --> 00:43:05,920
Speaker 1: Who you and I were playing playing some clips from yesterday.

794
00:43:06,200 --> 00:43:06,759
Speaker 2: He's a guy.

795
00:43:06,840 --> 00:43:09,600
Speaker 1: I'm not sure he's I wouldn't say he's conservative. I

796
00:43:09,640 --> 00:43:12,799
Speaker 1: mean he's he's willing to. He says things sometimes that

797
00:43:14,160 --> 00:43:17,000
Speaker 1: he plays around. He basically goes after both sides from

798
00:43:17,000 --> 00:43:19,360
Speaker 1: what I can see, like, he'll make fun of the wokeness,

799
00:43:19,440 --> 00:43:21,680
Speaker 1: but he'll also take some shots at the right, but

800
00:43:21,719 --> 00:43:24,160
Speaker 1: not in a mean way, in a funny way, And

801
00:43:24,200 --> 00:43:26,400
Speaker 1: so I'm not as clear. I think he would probably

802
00:43:26,440 --> 00:43:29,120
Speaker 1: think of himself almost as like a Joe Rogan politically

803
00:43:29,160 --> 00:43:31,880
Speaker 1: a little more non aligned.

804
00:43:32,239 --> 00:43:33,480
Speaker 2: That's just my guess. I don't know.

805
00:43:33,520 --> 00:43:35,440
Speaker 1: You might know him better than I do, but he's

806
00:43:35,840 --> 00:43:38,360
Speaker 1: not a dogmatically right wing guy. But you get the

807
00:43:38,400 --> 00:43:43,120
Speaker 1: sense that his overriding goal is to say things that

808
00:43:43,360 --> 00:43:46,120
Speaker 1: have a little edge and make people laugh. That is

809
00:43:46,160 --> 00:43:49,440
Speaker 1: what he's actually trying to do. Stephen Colbert, you tune in,

810
00:43:49,800 --> 00:43:53,640
Speaker 1: and it was no different than MSNBC. It's just they

811
00:43:53,640 --> 00:43:55,640
Speaker 1: would slap a joke on the end of the line,

812
00:43:56,080 --> 00:43:59,520
Speaker 1: and that's just that's gross, and it's really an abandonment

813
00:43:59,600 --> 00:44:01,120
Speaker 1: of what that show was supposed to be.

814
00:44:01,680 --> 00:44:03,799
Speaker 3: What I would say about Shane Gillis, and this is

815
00:44:03,840 --> 00:44:06,359
Speaker 3: my view on comedy to the extent you needed at all.

816
00:44:06,920 --> 00:44:11,839
Speaker 3: The most egalitarian fair thing you can do is make

817
00:44:11,880 --> 00:44:16,080
Speaker 3: fun of everybody across the board. So what they tried

818
00:44:16,120 --> 00:44:19,320
Speaker 3: to do with identity politics would say, Oh, a white

819
00:44:19,320 --> 00:44:23,400
Speaker 3: male comic could never make fun of a black woman.

820
00:44:23,960 --> 00:44:27,320
Speaker 3: That's the New York magazine headline after Shane Gillis's SP's

821
00:44:27,400 --> 00:44:30,520
Speaker 3: is basically, oh, these are unfunny jokes. You can't make

822
00:44:30,600 --> 00:44:35,640
Speaker 3: jokes about the WNBA. Why much of the WNBA deserves

823
00:44:35,640 --> 00:44:39,320
Speaker 3: to be ridiculed? So by the way, could the NBA

824
00:44:39,600 --> 00:44:42,440
Speaker 3: or the NFL. And what I would say is basically

825
00:44:42,520 --> 00:44:45,840
Speaker 3: the South Park doctrine, which is the goal is humor

826
00:44:45,880 --> 00:44:50,480
Speaker 3: above everything. If there is gold in those comedic hills,

827
00:44:50,880 --> 00:44:54,120
Speaker 3: it should be mined whether the person who's getting made

828
00:44:54,160 --> 00:44:59,000
Speaker 3: fun of is white, black, Asian, Hispanic, gay, straight, rands,

829
00:44:59,480 --> 00:45:03,839
Speaker 3: whatever your identity is. If you aren't being made fun of,

830
00:45:04,239 --> 00:45:08,440
Speaker 3: then we're applying identity politics to the equation. And identity

831
00:45:08,440 --> 00:45:12,799
Speaker 3: politics destroys comedy because it turns it into propaganda, which

832
00:45:12,840 --> 00:45:15,640
Speaker 3: is what Stephen Colbert became. And I think that's why

833
00:45:15,680 --> 00:45:17,840
Speaker 3: his show failed. And I think it's why a show

834
00:45:17,920 --> 00:45:21,640
Speaker 3: like South Park has remained culturally relevant for thirty years,

835
00:45:21,680 --> 00:45:25,440
Speaker 3: whatever you think of it, because they're gonna go where

836
00:45:25,560 --> 00:45:28,600
Speaker 3: the humor is, even if it makes people uncomfortable, and

837
00:45:28,719 --> 00:45:33,600
Speaker 3: often great comedy does make people uncomfortable. You shouldn't always

838
00:45:33,640 --> 00:45:36,440
Speaker 3: love every joke that's me on the soapbop.

839
00:45:36,520 --> 00:45:40,160
Speaker 1: You know, when Shanon Gillis says that watching History Channel

840
00:45:40,160 --> 00:45:43,400
Speaker 1: documentaries about World War Two is stage one conservative, like

841
00:45:43,440 --> 00:45:46,399
Speaker 1: that's funny, yeah, you know, like like you know, you're

842
00:45:46,440 --> 00:45:49,200
Speaker 1: just you're you're going down the long, dark pathway of

843
00:45:49,239 --> 00:45:52,279
Speaker 1: conservatism because you want to watch History Channel documentaries like

844
00:45:52,600 --> 00:45:53,839
Speaker 1: now and that's a gentle joke.

845
00:45:53,880 --> 00:45:56,120
Speaker 2: But I'm just saying, like, you know, that's actually meant

846
00:45:56,120 --> 00:45:58,480
Speaker 2: to be funny. I like, I like that joke. I

847
00:45:58,520 --> 00:46:00,720
Speaker 2: thought it was pretty funny. It's pttyrue.

848
00:46:01,520 --> 00:46:02,920
Speaker 3: And now all of a sudden, people are like good things,

849
00:46:03,080 --> 00:46:05,640
Speaker 3: get comedy, not gonna stun you. But I like a

850
00:46:05,680 --> 00:46:08,160
Speaker 3: lot of comedy that others would consider to be edgy

851
00:46:08,200 --> 00:46:11,960
Speaker 3: and inappropriate. So come after me for that too, all right.

852
00:46:12,000 --> 00:46:14,719
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853
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859
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00:46:39,040 --> 00:46:41,360
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Speaker 1: from your cell phone dial pound two to fifty save

865
00:46:44,640 --> 00:46:46,840
Speaker 1: Clay and Buck and you'll save an additional fifty percent

866
00:46:46,880 --> 00:46:49,279
Speaker 1: off your first month. You can literally switch over to

867
00:46:49,280 --> 00:46:52,200
Speaker 1: Pure Talk in about ten minutes. I've got pure Talk.

868
00:46:52,239 --> 00:46:54,560
Speaker 1: It says it right at the top corner of my phone.

869
00:46:54,680 --> 00:46:57,680
Speaker 1: You should get pure Talk to save money, get better service,

870
00:46:58,160 --> 00:47:01,720
Speaker 1: customer service. Dial pound two five zero. Say the keywords

871
00:47:01,719 --> 00:47:04,480
Speaker 1: Clay and Buck. Switch to Pure Talk. Dial pound two

872
00:47:04,560 --> 00:47:09,720
Speaker 1: five zero say Clay and Buck. Wireless, Buy Americans, four Americans.

873
00:47:09,320 --> 00:47:15,080
Speaker 5: Stories of freedom, Stories of America, inspirational stories that you unite.

874
00:47:14,840 --> 00:47:15,959
Speaker 2: Us all each day.

875
00:47:16,120 --> 00:47:19,680
Speaker 5: Spend time with Clay and find them on the free

876
00:47:19,719 --> 00:47:23,080
Speaker 5: iHeartRadio app or wherever you get your podcasts.

877
00:47:23,440 --> 00:47:27,040
Speaker 3: I will have you know not all of America is

878
00:47:27,080 --> 00:47:32,840
Speaker 3: filled with haters. In fact, this text I just received

879
00:47:33,280 --> 00:47:39,080
Speaker 3: from my ten year old, This is nash Unlike the

880
00:47:39,120 --> 00:47:43,640
Speaker 3: haters I believe in. You don't give up and practice.

881
00:47:44,040 --> 00:47:46,840
Speaker 3: There you go. That's what you want to hear. Everybody

882
00:47:46,880 --> 00:47:49,799
Speaker 3: else doesn't have my back. Ten year old, These like

883
00:47:49,880 --> 00:47:53,839
Speaker 3: Dad's got this to be fair. This all started when

884
00:47:54,320 --> 00:47:58,719
Speaker 3: I took my seventeen year old to Alcatraz. We were

885
00:47:58,760 --> 00:48:01,120
Speaker 3: on a visit to San Francisco. Looking at colleges all

886
00:48:01,160 --> 00:48:03,759
Speaker 3: over the place. And we were standing there looking at

887
00:48:03,840 --> 00:48:06,879
Speaker 3: out across San Francisco Bay, and I said, I think

888
00:48:06,920 --> 00:48:10,919
Speaker 3: I can make the swim, and my seventeen year old said, no, no, no, no, Dad,

889
00:48:11,000 --> 00:48:13,600
Speaker 3: you would drown. And then we argued about whether or

890
00:48:13,640 --> 00:48:16,000
Speaker 3: not I could make the swim. That's legitimately where all

891
00:48:16,000 --> 00:48:18,479
Speaker 3: this started. But I've always thought my ten year old

892
00:48:18,520 --> 00:48:21,279
Speaker 3: was smarter than my seventeen year old, and he's right.

893
00:48:21,680 --> 00:48:25,840
Speaker 3: I would make that swim, and I'm gonna train and

894
00:48:25,840 --> 00:48:26,720
Speaker 3: I'm gonna make it happen.

895
00:48:28,000 --> 00:48:30,040
Speaker 2: And now I feel like I need to train and

896
00:48:30,080 --> 00:48:30,680
Speaker 2: make it happen.

897
00:48:30,760 --> 00:48:33,040
Speaker 3: So I don't even know how you train for a

898
00:48:33,080 --> 00:48:36,000
Speaker 3: swim that long, by the way, like I think, because

899
00:48:36,120 --> 00:48:38,480
Speaker 3: I'm a lot. Yeah, but in a pool or you

900
00:48:38,560 --> 00:48:41,600
Speaker 3: go to a lake. Is there a I mean, if

901
00:48:41,640 --> 00:48:44,920
Speaker 3: you were like I did a half marathon, it was miserable.

902
00:48:45,600 --> 00:48:48,640
Speaker 3: It turns out to run a marathon, which is not fun.

903
00:48:49,320 --> 00:48:51,400
Speaker 3: You also have to spend a lot of time training

904
00:48:51,440 --> 00:48:54,520
Speaker 3: to run the marathon, which is even less fun. But

905
00:48:54,600 --> 00:48:57,239
Speaker 3: it's easy right in theory. You know, there's lots of

906
00:48:57,280 --> 00:49:01,040
Speaker 3: places you could run long distances. Here's the way running works.

907
00:49:01,239 --> 00:49:04,320
Speaker 3: You just start like Forrest Gump, and then at some

908
00:49:04,400 --> 00:49:08,080
Speaker 3: point you can just stop, and it's miserable. And my argument,

909
00:49:08,120 --> 00:49:11,240
Speaker 3: which always gets the runners angry, is I think running

910
00:49:11,280 --> 00:49:14,319
Speaker 3: is for people with really low self esteem because they're like,

911
00:49:14,400 --> 00:49:16,120
Speaker 3: I don't know if I can do this. Oh look

912
00:49:16,120 --> 00:49:20,120
Speaker 3: how far I ran? I Oprah ran a marathon. I

913
00:49:20,160 --> 00:49:23,759
Speaker 3: am more athletic than Oprah. There's no doubt in my

914
00:49:23,840 --> 00:49:26,239
Speaker 3: mind that I could run a marathon. The problem with

915
00:49:26,360 --> 00:49:28,200
Speaker 3: running a marathon is you have to train for it

916
00:49:28,239 --> 00:49:30,560
Speaker 3: for a long time. But there's lots of places you

917
00:49:30,560 --> 00:49:33,360
Speaker 3: could train. How do you train to swim like a

918
00:49:33,400 --> 00:49:34,080
Speaker 3: mile and a half?

919
00:49:36,280 --> 00:49:36,719
Speaker 2: Do you even?

920
00:49:37,000 --> 00:49:38,760
Speaker 3: I mean, I guess you could do like one hundred

921
00:49:38,840 --> 00:49:39,800
Speaker 3: laps in the pool.

922
00:49:39,920 --> 00:49:42,520
Speaker 2: You get in the ocean and you swim.

923
00:49:42,239 --> 00:49:45,640
Speaker 1: But how do you know how far an ocean distance is? Well,

924
00:49:45,680 --> 00:49:48,719
Speaker 1: I mean you can, like I'm thinking about in Miami Beach,

925
00:49:48,760 --> 00:49:51,719
Speaker 1: for example, you start in front of one hotel basically,

926
00:49:52,120 --> 00:49:54,560
Speaker 1: and you swim down to South Point Park or something

927
00:49:54,600 --> 00:49:56,759
Speaker 1: and you look at the on the GPS and you

928
00:49:57,080 --> 00:49:57,840
Speaker 1: can calculate it.

929
00:49:59,080 --> 00:50:04,000
Speaker 3: But there's tie that is water distance impacted. Like it

930
00:50:04,000 --> 00:50:07,000
Speaker 3: feels way more complicated. My my wife This is fun, Copernicus.

931
00:50:07,000 --> 00:50:09,080
Speaker 3: We could calculate this, all right, This isn't that bad.

932
00:50:10,160 --> 00:50:12,920
Speaker 3: My wife is of the opinion that I would drown.

933
00:50:12,920 --> 00:50:15,799
Speaker 3: When we were in the Bahamas, she had me swim

934
00:50:15,920 --> 00:50:17,799
Speaker 3: a decent distance and I don't even know if I've

935
00:50:17,800 --> 00:50:20,160
Speaker 3: talked about this on the air. She was like, moron,

936
00:50:21,120 --> 00:50:24,200
Speaker 3: you are gonna drown. I want you to swim in

937
00:50:24,239 --> 00:50:27,560
Speaker 3: the bay all this distance and so I was doing

938
00:50:27,560 --> 00:50:30,759
Speaker 3: the backstroke. She had no confidence that I could do it,

939
00:50:31,040 --> 00:50:33,960
Speaker 3: and I did it pretty easily. Because again I'm not

940
00:50:34,000 --> 00:50:37,000
Speaker 3: saying I'm a great swimmer. I'm just saying, as long

941
00:50:37,040 --> 00:50:40,200
Speaker 3: as I didn't drown, I would end up on the shore.

942
00:50:40,400 --> 00:50:43,080
Speaker 3: This is the thing that people don't understand, Like, if

943
00:50:43,120 --> 00:50:45,520
Speaker 3: you swim long enough, eventually you get to where you

944
00:50:45,560 --> 00:50:46,000
Speaker 3: need to go.

945
00:50:46,080 --> 00:50:50,719
Speaker 1: I can do it, all right, Well, there we go.

946
00:50:51,040 --> 00:50:52,080
Speaker 1: I like where your head's.

947
00:50:51,880 --> 00:50:52,439
Speaker 2: Out on this one.

948
00:50:52,520 --> 00:50:54,640
Speaker 3: And by the way, this is up on the Sunday hang.

949
00:50:54,719 --> 00:50:57,719
Speaker 3: We had some fun with this. Producer Ali said, there's

950
00:50:57,760 --> 00:51:00,200
Speaker 3: lots of fun stuff. If you're on the road, go

951
00:51:00,239 --> 00:51:02,840
Speaker 3: subscribe to the podcast. Lots of fun Sunday hanging things.

952
00:51:03,080 --> 00:51:05,960
Speaker 3: I hate you, Sean Hannity. I also hate you, Riley Gaines,

953
00:51:06,200 --> 00:51:07,680
Speaker 3: you're off the Christmas card list.

954
00:51:09,040 --> 00:51:10,120
Speaker 2: I just don't want to be clear.

955
00:51:10,520 --> 00:51:13,560
Speaker 1: Carrie insists that I go and make sure that you

956
00:51:13,640 --> 00:51:17,080
Speaker 1: don't drown, and so then Laura can be certain that

957
00:51:17,360 --> 00:51:19,480
Speaker 1: I will make sure you don't drown off of Oppidron