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Speaker 1: It appears that President Trump's strategy regarding European military defense

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Speaker 1: is working. Find Out what the UK Secretary of Defense

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Speaker 1: told Pete Hegsett. Also, the first jobs reports came out

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Speaker 1: for the month of February in the first of the

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Speaker 1: Trump administration this time around, find out what they said.

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Speaker 2: How is it? Is it good? Is it bad?

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Speaker 1: Also, the United States taxpayer is paying for a bunch

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Speaker 1: of subscriptions of government employees of which they are not music.

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Speaker 1: Find out which companies are getting a lot of taxpayer

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Speaker 1: dollars for people who aren't using that subscription. All that

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Speaker 1: and more coming up on this episode of Turning Point Tonight.

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Speaker 2: My name is Joe Bobin.

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Speaker 1: Together we are charting the course of America's cultural comeback.

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Speaker 1: Thanks so much for tuning in. This is Turning Point Tonight.

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Speaker 1: Now what I can't gloss over is the headline Making

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Speaker 1: podcast with Gavin Newsom and Turning Point zoned Charlie Kirk.

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Speaker 1: You've probably seen a lot of clips, you probably know

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Speaker 1: a lot about it and as a special treat making

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Speaker 1: his first appearance to Turning Points tonight, we have Charlie

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Speaker 1: Kirk coming up in just a few minutes to talk

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Speaker 1: about the conversation he had with Governor Gavin Newsom. Now,

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Speaker 1: there's a lot to be said, and I'll let Charlie

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Speaker 1: say most of it. But here's I think a thing

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Speaker 1: that we all need to recognize. There is dialogue between

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Speaker 1: the left and the right, and considering the fact that

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Speaker 1: the right is based in reality, the conversation then shifts

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Speaker 1: to the right. The more that it happens. It's no

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Speaker 1: secret that the sides have been getting further and further

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Speaker 1: apart over the last couple of years. The right has

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Speaker 1: moved further to right, the left has moved further to

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Speaker 1: the left, and even noted liberals like Bill Maher is

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Speaker 1: saying the left has left him behind with conversations between

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Speaker 1: conservatives and liberals. The one good thing that can come

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Speaker 1: out of this is that the left moves more to

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Speaker 1: the right, and therefore the middle of the conversation moves further.

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Speaker 2: To our side. Said.

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Speaker 1: That doesn't mean that anybody's gonna vote for Gavin Dowsom,

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Speaker 1: whether or not he decides to run for president in

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Speaker 1: twenty twenty eight or whatever it is that he chooses

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Speaker 1: to do. I still don't like the guy. I still

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Speaker 1: don't agree with him. I think he's wrong about everything. However,

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Speaker 1: if the Left bases their conversation in reality unlike what

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Speaker 1: they're doing today, ultimately we, the American people, will be better.

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Speaker 1: Often that is the one thing I think we should

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Speaker 1: take away from conversations between our side and their side.

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Speaker 1: If we can just bring them a little bit closer

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Speaker 1: to reality, all of us will benefit. And with that,

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Speaker 1: without further ado, let's welcome in the founder and CEO

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Speaker 1: of Turning Point as well as the host of The

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Speaker 1: Charlie Kirk Show. Charlie Kirk, thanks for being here, Dan.

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Speaker 3: It is great to be a guest on Turning Point tonight.

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Speaker 3: I watch every night. And by the way, Joe Bob,

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Speaker 3: I'm trying out this new hand motion and I don't

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Speaker 3: know if you like it or not, but it's kind

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Speaker 3: of like, Hey, we're gonna we're gonna stress test that

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Speaker 3: a little bit, right, We're gonna kind of work it out. Yeah,

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Speaker 3: how am I doing?

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Speaker 1: We're gonna we're gonna stress test that. If I wonder

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Speaker 1: if there was anybody playing any drinking games. How many

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Speaker 1: times Gavin said to stress test, stress test.

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Speaker 3: That's kind of stress that one out.

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Speaker 1: So Charlie, obviously, coming off of the Big podcast, which

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Speaker 1: was trending everywhere, and I think still is. I feel

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Speaker 1: like this is kind of like a post game interview

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Speaker 1: type thing, which is which is great. The first thing

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Speaker 1: I was curious about considering the fact that it appeared

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Speaker 1: like he pretty much agreed with everything you said.

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Speaker 2: Did did any of that surprise you in real time?

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Speaker 4: There?

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Speaker 3: I mean, I think he's so politically transactional that he'll

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Speaker 3: say whatever it takes to try to kind of go

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Speaker 3: where the wind is blowing. He knows where the wind

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Speaker 3: is blowing. Unless it's the California wildfires. Then he doesn't

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Speaker 3: know where the.

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Speaker 2: Wind is blowing.

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Speaker 3: And so too soon maybe so. But yeah, look, I

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Speaker 3: mean I will say this, credit to him for having

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Speaker 3: me on the show, Credit to his team for not

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Speaker 3: editing at any of the footage.

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Speaker 5: So that's good.

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Speaker 3: That was We were a little worried about that, so

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Speaker 3: that was important. Yeah, I mean, look, it surprised me.

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Speaker 3: He also, it's just rhetorical. He's not actually doing anything

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Speaker 3: with actions to improve California or to make California a better.

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Speaker 5: Place to live.

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Speaker 3: In fact, I think he's largely responsible for the downfall

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Speaker 3: of California, and so he's trying to magnify his image,

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Speaker 3: and I don't know if it's going to work.

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Speaker 1: You know, I don't know how he would be responsible.

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Speaker 1: He's only been in statewide office for the last fourteen years,

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Speaker 1: and before that a mayor of one of the biggest cities.

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Speaker 1: I don't know what he would have to do with

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Speaker 1: the downfall of California. But you know, really I wanted

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Speaker 1: to get this in because I'm not sure if you're

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Speaker 1: aware of this. Right at the beginning of the podcast,

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Speaker 1: if people go watch it, you guys talk about college

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Speaker 1: and Gavin says, you know, by an athletic coach that

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Speaker 1: gave me an opportunity to play at Santa Clair. He

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Speaker 1: mentioned his nine to sixty score on the SAT which

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Speaker 1: is below the national average when he would have taken it.

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Speaker 1: We were all familiar with the Varsity Blues scandal that

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Speaker 1: had a bunch of rich parents bribing college coaches to

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Speaker 1: give preference to an athletic recruit to get them into

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Speaker 1: schools they otherwise wouldn't have gotten into. Did you know

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Speaker 1: this that Gavin Newsom never actually played a full game

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Speaker 1: for the Santa Clara varsity baseball team. It is said

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Speaker 1: that he did participate in the tryouts his freshman and

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Speaker 1: sophomore year. But other than that, there is no evidence

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Speaker 1: that Gavin ever played varsity baseball at the university that

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Speaker 1: he went to. With that, do we think that his

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Speaker 1: parents might have, you know, greased some palms a little

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Speaker 1: bit to get him in on a baseball scholarship.

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Speaker 3: Wasn't this like a community college though?

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Speaker 2: Or what college was this? No, was Santa Clara University.

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Speaker 2: It was a four year university.

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Speaker 3: I mean, like, I don't want to accuse his parents

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Speaker 3: of being Lori Laughlin, but it's kind of this whole

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Speaker 3: thing is.

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Speaker 5: Like, look, I only have a nine sixty SAT and okay, great.

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Speaker 3: I mean I don't quite even know what to make

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Speaker 3: about make of that. What I will say is this, though,

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Speaker 3: is that this was all around this discussion of trans sports.

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Speaker 3: He's like, well, I Revere sports. Okay, Well, if you

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Speaker 3: actually revere sports, then you should come out as the

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Speaker 3: governor of California right now and stop ab Hernandez from

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Speaker 3: competing in and winning the state championship. By way, this

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Speaker 3: is going to be a big issue for Gavin, who

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Speaker 3: he just invited a big issue. Let me tell you

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Speaker 3: what's going to happen. Okay, he will almost assuredly do nothing,

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Speaker 3: and this young man will win the state championship as

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Speaker 3: a woman, and he will look like a complete fraud,

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Speaker 3: like he just came out and ran to the middle

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Speaker 3: on the issue and set it to Charlie Kirk, but

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Speaker 3: won't actually do anything about it, won't speak out against it.

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Speaker 3: It's going to kind of be this looming issue. So

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Speaker 3: we'll see what happens. But a man is about to

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Speaker 3: win the state long jump championship in female sports.

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Speaker 2: Yeah, it's it's ridiculous.

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Speaker 1: Humor me if we zoom out to like thirty thousand

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Speaker 1: just looking at this, this podcast that you did with Gavin.

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Speaker 1: I'm not trying to inflate your ego. Blow smoke up here, butt,

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Speaker 1: but what it looked like to me is a guy

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Speaker 1: who has, you know, his ideas firmly rooted in uh,

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Speaker 1: you know, centuries of human history and all that sort

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Speaker 1: of stuff, and then another guy who was trying to

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Speaker 1: figure out, based on polling, where his ideals and ideology

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Speaker 1: ideology should be, which seems like kind of a microcosm

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Speaker 1: of the right versus the left. You have any comment

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Speaker 1: on that. You kind of touched on it with the

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Speaker 1: podcast stuff. And again, people can watch the whole thing

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Speaker 1: if they want to get the full context.

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Speaker 2: But what's your what's your thoughts there?

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Speaker 3: Yeah, and by the way, people should subscribe if they

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Speaker 3: want to either our YouTube channel or my podcast page

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Speaker 3: if they want to listen to the entire discussion. I

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Speaker 3: think it's very worthwhile. Look, I don't think Democrats like

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Speaker 3: Gavin Newsom are capable of having a long form interview discussion.

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Speaker 3: I don't know if Gavin Newsom could survive Joe Rogan,

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Speaker 3: for example, I don't know if you would be able

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Speaker 3: to have the kind of unscripted, robust, unpredictable type discussion.

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Speaker 3: And look, the conversation has been very well received, overwhelming response,

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Speaker 3: and he could you could tell he was a little

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Speaker 3: uncomfortable because he wanted to try to come across as

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Speaker 3: a bro and I tried to meet the frequency but

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Speaker 3: also challenge him and try to actually put him on

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Speaker 3: the spot on a variety of different issues. And he's

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Speaker 3: a political actor trying to play a podcaster.

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Speaker 1: You know, part of that I thought was interesting. And

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Speaker 1: people don't necessarily know unless they're kind of in this

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Speaker 1: line of work. Sometimes the conversation can go down a

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Speaker 1: rabbit hole that you don't want it to go down.

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Speaker 1: And we saw you kind of like course correct a

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Speaker 1: couple of times. With that being said, on a couple

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Speaker 1: issues that you didn't go down the rabbit hole that

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Speaker 1: you probably could have.

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Speaker 2: Do you feel like you pulled any punches?

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Speaker 3: Yeah, I will say this. I was intentionally trying to

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Speaker 3: not you know, like call him a dictator or any

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Speaker 3: of these I was trying to.

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Speaker 2: I didn't do it.

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Speaker 3: I did not do that.

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Speaker 2: You did not do that. It was probably a difficult,

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Speaker 2: difficult feat to accomplish.

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Speaker 3: Yeah. I mean, obviously he's elected, you know, to be

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Speaker 3: in charge of California. But what I tried to do,

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Speaker 3: and I think it was successful, was in an entertaining,

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Speaker 3: lighthearted way, use humor and also a little bit of

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Speaker 3: a let's just say, an incredulity, a bafflement of like

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Speaker 3: is this really an issue? Why don't you do anything

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Speaker 3: about it? Because here's the alternative. The alternative. You can

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Speaker 3: go in there like Rohnda Santis did, who I like,

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Speaker 3: and be super aggressive. Davin's actually pretty good at that.

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Speaker 3: He's really good at meeting you at that frequency, you know,

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Speaker 3: doubling down, know you're wrong, you know, fixating on a

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Speaker 3: point and then it becomes a mess. This podcast actually

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Speaker 3: wasn't a mess. In fact, the feedback was that our ideas,

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Speaker 3: the way we presented them were victorious.

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Speaker 2: Yeah.

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Speaker 1: No, yeah, to your point, I've run a couple rais California,

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Speaker 1: run into Gavin quite a few times, and the scariest

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Speaker 1: thing about him is he's very nice and very easy

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Speaker 1: to deal with on a person to person basis, you know,

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Speaker 1: even though his ideas are awful. Speaking of people who

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Speaker 1: couldn't last on a Joe Rogan podcast, Kamala Harris has,

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Speaker 1: possibly Politico's reporting, thrown her hat into the ring to

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Speaker 1: replace Gavin when he is termed out.

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Speaker 2: Do you have any thoughts?

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Speaker 1: Is that good for any conservative that may actually try

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Speaker 1: and win in California in the next Scubernatorio raised in

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Speaker 1: twenty twenty six.

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Speaker 3: Possibly? I think it will make Gavin Newsom look like

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Speaker 3: a much better governor if she ever imagined her in

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Speaker 3: charge of anything. But yeah, if he wants to run

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Speaker 3: for governor, I mean he's going to be tied to

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Speaker 3: every crazy thing she does. And you know, good luck, Kamala,

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Speaker 3: go ahead, go become governor of California. Look, she's looking

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Speaker 3: for a cushy job where she could be supported by

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Speaker 3: everyone around her, have no responsibility, and with a nice title.

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Speaker 3: And so she's looking to be governor of California. I mean,

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Speaker 3: not much else left to destroy, but she'd find a

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Speaker 3: way to do it.

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Speaker 5: Uh.

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Speaker 2: Yeah, I think yeah.

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Speaker 1: Gavin's probably looking at eyeing at twenty twenty at the presidency.

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Speaker 2: Uh do you think.

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Speaker 1: I mean, obviously this is a part of his kind

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Speaker 1: of let's go back to the middle and go back

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Speaker 1: to sanity. Do you think he's got a shot at

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Speaker 1: the DNC nomination if he doesn't bow to the woke wogies.

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Speaker 3: Maybe Again, he's so inauthentic, as you would agree, Joe Bob.

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Speaker 3: He's so transactional, he's so about himself, machiavellian really, that

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Speaker 3: it's hard to tell. Here's my current take. I think

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Speaker 3: the Democrats are so captured by the woke elements of

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Speaker 3: their party and their movement that someone like Gavin Newsom

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Speaker 3: having a sister social moment like Bill Clinton did back

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Speaker 3: in the nineties. I don't think that's possible right now.

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Speaker 3: I don't think it's possible. I could be wrong. I

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Speaker 3: think they're too captured by this trans ideology. I think

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Speaker 3: they're too captured by these radical ideas is and you

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Speaker 3: can see that with a lot of the backlash that

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Speaker 3: Gavin is getting.

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Speaker 1: Yeah, last thing that I'm curious about, speaking of people

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Speaker 1: who are not captured by the radical lunacy, any updates

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Speaker 1: on Gavin's sun attending SAS or Cls's working on.

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Speaker 5: It big time.

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Speaker 3: So some people say that, hey, Charlie, we think that

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Speaker 3: it was like a stick and it's not true. I've

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Speaker 3: heard the opposite. I've heard for a while he's been

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Speaker 3: a fan of us, but also he's a white teenager

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Speaker 3: with an iPhone. Of course he's a fan of Turning Point.

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Speaker 3: I mean, come on, meaning that he's being called racist

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Speaker 3: all the time in his local classrooms. He's being said

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Speaker 3: he's a white teenage boy with an iPhone. So I

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Speaker 3: hope that he reaches out one way or another. But

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Speaker 3: he is a minor, so I want to respect parental rights.

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Speaker 3: Unlike Gavin Newsom, I'm not actually going to go to

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Speaker 3: try to go after kids without parental consent.

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Speaker 2: Yeah.

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Speaker 1: Yeah, Well, hopefully he comes over to the light side

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Speaker 1: of you know, way of thinking. Charlie Kirk, thanks so

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Speaker 1: much for joining us. Really appreciate you taking the time.

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Speaker 3: Hey, everybody, keep on watching Turning Point tonight every single night.

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Speaker 3: What time is it on Joe Bob every night.

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Speaker 2: Ten pm Eastern, seven pm Pacific.

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Speaker 3: By way, that's primetime in Pacific. Look at you. I

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Speaker 3: mean you're right there. That's big.

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Speaker 2: That's big stuff. It's and it's.

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Speaker 1: Great for tonight. The are at the at the evening

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Speaker 1: because President Trump did warns about this, we may get

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Speaker 1: tired of winning. Now I'm not tired of winning, but

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Speaker 1: you do get tired from winning. And so you know,

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Speaker 1: considering all the winning, people can go right to bed

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Speaker 1: afterward and just you know, wake up, refresh the next day.

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Speaker 3: And if you want to keep the good times going,

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Speaker 3: a re airing of my daytime show comes right afterwards.

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Speaker 3: By the way, sometimes you don't catch all of my

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Speaker 3: show during the day because of breaking news, President Trump,

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Speaker 3: press conferences, Karen Line Lovett. So it's a one to

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Speaker 3: two combo every night ten pm Eastern. Check it out.

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Speaker 1: Thanks, Joebob, Charlie, thanks so much, man, Really appreciate you.

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Speaker 1: Coming up, we're gonna check in with White House correspondent

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Speaker 1: for Turning Point Monica Page on what's going on with

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Speaker 1: the White House, the job numbers and all of that,

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Speaker 1: as well as more news of the day. Stay tuned,

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Speaker 1: don't away, We'll be right back. Welcome back to Turning

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Speaker 1: Point tonight, where we are charting the course of America's

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Speaker 1: cultural comeback. One of my favorite parts of the day

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Speaker 1: is when we get to talk to Monica Page, Turning Points,

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Speaker 1: White House correspondent at the White House. Monica, thanks for

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Speaker 1: joining us today. Job numbers are out. Trump's at a

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Speaker 1: crypto thing. There's a lot going on.

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Speaker 2: Fill us in. What do you got.

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Speaker 4: There's always a lot going on here. Joe, Bob, Great

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Speaker 4: to be with you, Great to speak with you. Of course,

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Speaker 4: today it's been announced one hundred and fifty one thousand

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Speaker 4: jobs for the first quarter of Trump's administration. Of course,

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Speaker 4: this is huge news considering the fact that the sector

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Speaker 4: that did the best in this job suport is the

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Speaker 4: manufacturing sector. Under Joe Biden, manufacturing jobs fell. And we

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Speaker 4: know that more foreign workers, foreign born workers really succeeded

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Speaker 4: under the Biden administration. But now that's changed. Native born

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Speaker 4: Americans are getting more jobs under the Trump administration. That's

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Speaker 4: a very positive thing. So as manufacturing jobs with the

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Speaker 4: biggest winners out of this report. We know the biggest

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Speaker 4: losers from this report are those in the federal government.

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Speaker 4: They've lost about ten thousand jobs already just in February alone,

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Speaker 4: according to this report. So it's a positive sign that

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Speaker 4: DOE is doing its job and weed out all this

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Speaker 4: extra stuff that we don't really need, and it's a

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Speaker 4: great sign for American workers as well.

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Speaker 1: Yeah, it's interesting with when these reports come out because

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Speaker 1: it's kind of hard to decide, you know, who to

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Speaker 1: give credit to or what because of something it's too early,

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Speaker 1: is something it's not early enough. With President Trump, though,

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Speaker 1: I think businesses are always on the front foot of

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Speaker 1: things and recognizing, hey, a new administration is coming in,

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Speaker 1: maybe we should curtail how we do things. That impact

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Speaker 1: will be seen pretty immediately, I think, which is what

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Speaker 1: those job numbers show. President Trump is also at a

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Speaker 1: crypto event, which is which is pretty interesting. Can you

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Speaker 1: tell us about that or anything else that he's just

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Speaker 1: I think he's also established a task for us. You

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Speaker 1: want to get into those things.

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Speaker 4: Yeah, sure. So President Trump as we speak right now,

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Speaker 4: is hosting his crypto summit here at the White House,

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Speaker 4: he's got leaders from different kinds of crypto agencies, including

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Speaker 4: Robin Hood for that matter. He's trying to make the

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Speaker 4: United States really the crypto capital of the world. I

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Speaker 4: think he's trying to also establish a crypto reserve, which

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Speaker 4: I think is going to be good for anybody who's

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Speaker 4: invested in crypto. And then also just recently, coming out

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Speaker 4: of the White House, coming out of the Oval Office,

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Speaker 4: President Trump just signs an executive order to establish a

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Speaker 4: task Force for the FIFA World Cup of twenty twenty six.

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Speaker 4: This is expected to make and create more jobs regarding

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Speaker 4: the World Cup and also kind of unite both Canada

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Speaker 4: and Mexico as they both get involved in the World Cup.

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Speaker 4: This upcoming twenty twenty six, so lots think come out

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Speaker 4: of the White House. And then later today around five

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Speaker 4: pm Eastern time, Trump is leaving to go to the

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Speaker 4: Winter White House in mar A Lago, So still plenty

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Speaker 4: of work to be done. Of course, President Trump never sleeps,

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Speaker 4: so he'll be working all weekend.

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Speaker 1: I'm sure it's funny because that's like, you know, common

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Speaker 1: saying for people who work really hard. But literally he

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Speaker 1: doesn't sleep. He just up all day, you know, tweeting

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Speaker 1: at whatever hour or posting on x or whatever you

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Speaker 1: call it.

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Speaker 2: But yeah, fascinating.

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Speaker 1: That is going to be really interesting to seeing how

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Speaker 1: Canada and Mexico say, hey, hold on, aren't we a

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Speaker 1: friend of me's right now? Really really looking forward to

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Speaker 1: how that plays out. Monica Page, thank you so much

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Speaker 1: for joining us again. Always again my favorite part of

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Speaker 1: the day getting to talk to you and seeing what's

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Speaker 1: going on at the White House. Really appreciate you taking the.

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Speaker 4: Time, absolutely anytime. I always love coming on the show.

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Speaker 2: Thank you.

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Speaker 1: Let's get back to more stuff going on around our country.

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Speaker 1: And with that, let's bring in a commentator who here's

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Speaker 1: what I think is interesting. This guy's my former college roommate,

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Speaker 1: has a lot of opinions on a lot of different things,

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Speaker 1: but also represents, as you'll see in his little title,

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Speaker 1: the average American Man. Anthony Delo joins us to talk

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Speaker 1: all of the things going on.

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Speaker 4: First.

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Speaker 2: I want to get to this what we just talked

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Speaker 2: about with Monica Page. The jobs reports.

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Speaker 1: Jobs are up by one hundred and four one hundred

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Speaker 1: and fifty one thousand jobs added in the economy in

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Speaker 1: the first month that President Trump was in office. But

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Speaker 1: that included I think some ten thousand federal jobs that

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Speaker 1: were eliminated from DOGE. Just you know, average guy thoughts,

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Speaker 1: what does that look like from a well, the federal

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Speaker 1: government is cutting jobs.

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Speaker 2: How bad is this?

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Speaker 6: It is crazy to me that federal government jobs are

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Speaker 6: included in employment data.

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Speaker 5: That makes absolutely no sense.

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Speaker 6: I don't understand how a federal job has anything to

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Speaker 6: do with any kind of indication of how our economy

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Speaker 6: is doing. For example, if a president wants to go

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Speaker 6: and just add let's say twenty million jobs one month

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Speaker 6: or one year, whatever, he's going to be the greatest

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Speaker 6: jobs president of all time. But that doesn't tell us

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Speaker 6: that the economy is doing well. It just tells us

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Speaker 6: that the president created a bunch of jobs. So like,

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Speaker 6: it's great that that jobs are growing, but like this

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Speaker 6: number that, oh we lost a bunch of jobs. It's

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Speaker 6: like it's useless information because their government job, like they

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Speaker 6: don't tell us anything about So like the criticism of Trump,

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Speaker 6: they're like, oh, look we're losing jobs. It's like, well, yeah,

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Speaker 6: the government is saving money this.

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Speaker 1: Yeah, that's no, that's that's a fascinating point, is yeah,

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Speaker 1: especially because well that's not actually spurring on the economy.

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Speaker 1: That also reminds me of the fact that the Wall

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Speaker 1: Street Journal had a great piece about this, uh geez,

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Speaker 1: almost several years ago now probably where they're basically talking

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Speaker 1: about the whole wage gap thing. Well, what they don't

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Speaker 1: include in that is federal government or sorry, just government

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Speaker 1: payouts to people that's not included in their income. And

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Speaker 1: if it is those, that wage glap closes quite a bit. So, Yeah,

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Speaker 1: if we don't include that in the people's incomes, you

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Speaker 1: can't include jobs that are just kind of made up

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Speaker 1: even when they go away.

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Speaker 2: That that that is interesting, That makes a lot of sense.

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Speaker 1: Speaking of things that Doge is doing in this industry,

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Speaker 1: some people watch this might not be familiar with this.

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Speaker 2: We use a lot of Adobe products.

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Speaker 1: Adobe is a software developer that uses video products, and

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Speaker 1: I'm sure plenty of you are familiar with Adobe Reader.

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Speaker 1: Turns out that there's like eleven thousand subscriptions to Adobe

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Speaker 1: Reader that the federal government is paying for and not using,

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Speaker 1: which is you know, if you're paying for a subscription,

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Speaker 1: it's like a bunch of people playing for Netflix that

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Speaker 1: never watch it, which actually might be a real thing

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Speaker 1: that's happening. Anthony, your thoughts on the fact that Adobe

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Speaker 1: is getting a ton of money from the federal government

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Speaker 1: that isn't actually being used for their product.

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Speaker 6: Well, it's no surprise at all when we look at

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Speaker 6: all the recent DOGE findings that have come out, it's

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Speaker 6: no surprise that there's you know, eleven thousand Adobe licenses

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Speaker 6: that are being paid for and no employees even attached

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Speaker 6: to them. There's also came out that there was like

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Speaker 6: five six other companies that have or tens of thousands

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Speaker 6: of licenses that are being paid for but not used.

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Speaker 6: I think what the Trump administration should do is create

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Speaker 6: an executive order that declares that all government contractors must

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Speaker 6: report if their service is not being used by the government,

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Speaker 6: and then there will be significant penalties if it is

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Speaker 6: later found out that hey, you are actually ripping off

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Speaker 6: the American people, that we shouldn't be allowing us to happen.

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Speaker 6: And frankly, like, we should require these companies to self

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Speaker 6: report until we at least get this somewhat cleaned up.

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Speaker 1: Yeah, and of course the self reporting isn't gonna be perfect,

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Speaker 1: because that's gonna be a lot of well what if

437
00:21:40,800 --> 00:21:42,800
Speaker 1: that Yeah, we know it's not gonna be perfect. But

438
00:21:42,840 --> 00:21:45,440
Speaker 1: that's a great idea. If you're getting a government contract,

439
00:21:45,520 --> 00:21:46,120
Speaker 1: say hey.

440
00:21:48,160 --> 00:21:51,040
Speaker 6: We have fifty thousand licenses that the government is paying for,

441
00:21:51,119 --> 00:21:53,320
Speaker 6: oh and half of them are not being used. So

442
00:21:53,359 --> 00:21:55,280
Speaker 6: we're just gonna tell you about it. You don't have

443
00:21:55,320 --> 00:21:57,800
Speaker 6: to cancel the licenses. It's on the government to cancel

444
00:21:57,840 --> 00:21:59,720
Speaker 6: the license if we're not paying for But you have

445
00:21:59,760 --> 00:22:02,520
Speaker 6: to hell the American people, the American government that hey,

446
00:22:02,520 --> 00:22:03,320
Speaker 6: we're ripping you off.

447
00:22:04,080 --> 00:22:04,159
Speaker 3: That.

448
00:22:04,480 --> 00:22:07,239
Speaker 1: I love that idea, President Trump, if you're listening, that

449
00:22:07,320 --> 00:22:11,719
Speaker 1: actually is a fantastic idea. Self reporting. Just to some

450
00:22:11,760 --> 00:22:14,320
Speaker 1: of those numbers that you were talking about, the thirty

451
00:22:14,359 --> 00:22:18,240
Speaker 1: five thousand service Now licenses, I'm not sure what that

452
00:22:18,280 --> 00:22:23,240
Speaker 1: even is. Eighty four of them are being used. Seventeen

453
00:22:23,320 --> 00:22:26,960
Speaker 1: hundred Cognos licenses, only three hundred and twenty five are

454
00:22:27,000 --> 00:22:30,400
Speaker 1: being used. Ten thousand Java licenses, only four hundred are

455
00:22:30,440 --> 00:22:34,040
Speaker 1: currently being used. That is not what you would call

456
00:22:34,160 --> 00:22:36,680
Speaker 1: bang for your buck. I also can't believe that anybody

457
00:22:36,720 --> 00:22:39,639
Speaker 1: is like pro that, like, yeah, we should still be paying,

458
00:22:39,680 --> 00:22:45,320
Speaker 1: Like what constituency is like advocating for continuing to effectively

459
00:22:45,400 --> 00:22:46,520
Speaker 1: light money on fire.

460
00:22:46,600 --> 00:22:51,200
Speaker 2: I maybe maybe the people that work in Adobe, I want.

461
00:22:51,040 --> 00:22:53,600
Speaker 1: To get to this because speaking of speaking of lighting

462
00:22:53,640 --> 00:22:56,840
Speaker 1: money on fire, the US obviously defends the rest of

463
00:22:56,880 --> 00:22:58,080
Speaker 1: the world.

464
00:22:58,240 --> 00:23:00,000
Speaker 2: People talk about the social.

465
00:22:59,760 --> 00:23:02,600
Speaker 1: Pro in Europe like, oh, well, they've got free healthcare

466
00:23:02,680 --> 00:23:04,800
Speaker 1: or free housing or whatever it is. Yeah, the only

467
00:23:04,840 --> 00:23:07,359
Speaker 1: reason they get to do it is because we cover

468
00:23:07,440 --> 00:23:11,120
Speaker 1: all of their military spending and we protect them. If

469
00:23:11,160 --> 00:23:13,080
Speaker 1: they had to spend what a normal country has to

470
00:23:13,080 --> 00:23:16,920
Speaker 1: spend or sorry, what a country should spend on military protection. Yeah,

471
00:23:16,960 --> 00:23:19,280
Speaker 1: they don't get to have all of those flufy retirement

472
00:23:19,400 --> 00:23:24,320
Speaker 1: programs that start at fifty five, or public medicare or

473
00:23:24,359 --> 00:23:25,080
Speaker 1: medicine whatever.

474
00:23:25,320 --> 00:23:25,960
Speaker 2: They don't get to.

475
00:23:25,920 --> 00:23:29,040
Speaker 1: Do one of those social programs. Where I'm getting at

476
00:23:29,040 --> 00:23:34,240
Speaker 1: with this is Secretary Pete Hegseeth's counterpart in the UK

477
00:23:34,840 --> 00:23:39,080
Speaker 1: had some really interesting thoughts to share, especially after Trump

478
00:23:39,320 --> 00:23:42,159
Speaker 1: Zelenski Vance meeting in the Oval Office that kind of,

479
00:23:42,440 --> 00:23:45,480
Speaker 1: you know, blew up in the Euro's face. They seem

480
00:23:45,560 --> 00:23:48,480
Speaker 1: to think that we can't trust the US anymore, which

481
00:23:48,600 --> 00:23:52,760
Speaker 1: prompted this response from Secretary heg Seth's counterpart in the UK.

482
00:23:52,840 --> 00:23:59,040
Speaker 7: Watch this, we last met last month in NATO and

483
00:23:59,080 --> 00:24:07,320
Speaker 7: then you challenged Europe to step up. You challenged us

484
00:24:07,359 --> 00:24:12,520
Speaker 7: to step up on Ukraine, on defense spending, on European security,

485
00:24:13,400 --> 00:24:18,000
Speaker 7: and I say to you that we we have, we are,

486
00:24:18,600 --> 00:24:22,120
Speaker 7: and we will further. And last week the British Prime

487
00:24:22,119 --> 00:24:25,960
Speaker 7: Minister announced the biggest increase in defense spending since the

488
00:24:26,040 --> 00:24:28,480
Speaker 7: end of the Cold War, and we will go further.

489
00:24:30,840 --> 00:24:34,359
Speaker 1: Freaking awesome, I think, right, like, you know, people lives,

490
00:24:34,480 --> 00:24:37,280
Speaker 1: especially or like, oh, you know the way that Trump

491
00:24:37,280 --> 00:24:41,800
Speaker 1: treated Zelinsky. Okay, well, if that's the outcome our allies

492
00:24:42,000 --> 00:24:45,800
Speaker 1: spending more money on defense, is that such a bad thing?

493
00:24:48,200 --> 00:24:50,600
Speaker 6: Yeah, this is cool to This is really cool to see.

494
00:24:50,640 --> 00:24:53,000
Speaker 6: And I think this is a lot of promises that

495
00:24:53,040 --> 00:24:56,040
Speaker 6: Trump made when he was running, kind of coming to fruition,

496
00:24:57,119 --> 00:24:59,800
Speaker 6: and I think half the country doesn't really like maybe

497
00:25:00,040 --> 00:25:03,800
Speaker 6: how he does his business and gets deals like this done,

498
00:25:04,600 --> 00:25:07,720
Speaker 6: but it's hard to argue that this is a bad thing,

499
00:25:08,040 --> 00:25:10,320
Speaker 6: Like we are going to have to spend less money

500
00:25:10,320 --> 00:25:11,879
Speaker 6: defending the rest of the world. We are going to

501
00:25:11,920 --> 00:25:15,879
Speaker 6: have to spend less money protecting the rest of the world.

502
00:25:16,160 --> 00:25:19,320
Speaker 6: This is a great step forward, a small step forward.

503
00:25:20,600 --> 00:25:22,720
Speaker 6: I always go back to the quote that half of

504
00:25:22,760 --> 00:25:26,040
Speaker 6: the country takes Trump literally but not seriously, and half

505
00:25:26,040 --> 00:25:29,000
Speaker 6: of the country takes him seriously but not literally. And

506
00:25:29,040 --> 00:25:30,639
Speaker 6: I think this is one of those things when he

507
00:25:30,680 --> 00:25:32,800
Speaker 6: comes up and says, I'm gonna make the rest of

508
00:25:32,840 --> 00:25:35,040
Speaker 6: the world pay their fair share, and people are like, yeah,

509
00:25:35,040 --> 00:25:38,080
Speaker 6: you're an idiot, whatever. But he kind of does come

510
00:25:38,160 --> 00:25:40,400
Speaker 6: through on these things, and he's repeatedly done that both

511
00:25:40,440 --> 00:25:42,879
Speaker 6: in his first term, and he's already starting to again

512
00:25:43,040 --> 00:25:46,760
Speaker 6: this term, where not everyone's going to agree with the methods,

513
00:25:46,800 --> 00:25:49,359
Speaker 6: not everyone is going to really understand how or why

514
00:25:49,400 --> 00:25:52,800
Speaker 6: it's happening, but the things he is promising are starting

515
00:25:52,800 --> 00:25:54,480
Speaker 6: to come around. I think it's a huge deal.

516
00:25:55,359 --> 00:25:57,760
Speaker 1: Yeah, you don't want to be in the position of

517
00:25:58,080 --> 00:26:00,880
Speaker 1: everybody liking you, but then also walk all over you,

518
00:26:01,080 --> 00:26:04,919
Speaker 1: as several of his predecessors have been. Anthony a great

519
00:26:05,320 --> 00:26:09,320
Speaker 1: perspective from the average American man. As the Chiron said,

520
00:26:09,480 --> 00:26:12,040
Speaker 1: I really appreciate the input. We'll definitely have you back.

521
00:26:13,680 --> 00:26:14,560
Speaker 6: Thank you, Seeson.

522
00:26:15,440 --> 00:26:16,000
Speaker 2: Coming up.

523
00:26:16,400 --> 00:26:19,880
Speaker 1: Another awesome clip from Alex Clark's Cultural Apothecary podcast, Don't

524
00:26:19,920 --> 00:26:21,679
Speaker 1: Go Away. We'll be right back after this.

525
00:26:35,240 --> 00:26:37,959
Speaker 8: So we're walking back and I noticed, so this island

526
00:26:38,000 --> 00:26:42,200
Speaker 8: has tons of animals and there's like wild monkeys and

527
00:26:42,359 --> 00:26:46,080
Speaker 8: dogs and birds, And as we're walking back to our

528
00:26:46,080 --> 00:26:51,040
Speaker 8: apartment in our bikinis barefooted, I noticed all the animals

529
00:26:51,080 --> 00:26:54,399
Speaker 8: went silent and it was like dogs, like there were

530
00:26:54,440 --> 00:26:57,400
Speaker 8: the wild dogs and they just yelp and run into

531
00:26:57,440 --> 00:27:01,480
Speaker 8: the bushes. Birds like suddenly flying to the air and

532
00:27:01,560 --> 00:27:04,960
Speaker 8: like go off into the horizon, all like the monkeys

533
00:27:04,960 --> 00:27:08,760
Speaker 8: and everything start running up, like climbing up the hill,

534
00:27:09,080 --> 00:27:10,840
Speaker 8: and I'm like, what is going on? Like it was

535
00:27:10,920 --> 00:27:14,199
Speaker 8: just this like the animal sixth sense knew danger was coming,

536
00:27:14,280 --> 00:27:14,680
Speaker 8: and you.

537
00:27:14,880 --> 00:27:16,639
Speaker 9: Were just with your dad. Your mom was still on

538
00:27:16,680 --> 00:27:17,040
Speaker 9: the beach.

539
00:27:17,240 --> 00:27:17,600
Speaker 3: Mm hmm.

540
00:27:17,760 --> 00:27:20,200
Speaker 8: So I'm still with my dad at this point, following

541
00:27:20,320 --> 00:27:23,760
Speaker 8: him to the middle of the island. Meanwhile, my mom

542
00:27:24,280 --> 00:27:28,560
Speaker 8: is on the phone cooling the airline and notices suddenly

543
00:27:28,640 --> 00:27:32,040
Speaker 8: all the water leaves, and her whole heart and stomach

544
00:27:32,119 --> 00:27:35,239
Speaker 8: like turn upside down because she knew she knew what

545
00:27:35,359 --> 00:27:36,159
Speaker 8: was about to happen.

546
00:27:36,560 --> 00:27:37,800
Speaker 9: She knew it was a tsunami.

547
00:27:38,200 --> 00:27:42,439
Speaker 8: Yeah, she'd seen signs on the beaches of Florida saying

548
00:27:42,480 --> 00:27:44,600
Speaker 8: like if the water leaves, you have a few minutes

549
00:27:44,680 --> 00:27:45,480
Speaker 8: get to high ground.

550
00:27:46,080 --> 00:27:47,840
Speaker 9: So as you're walking with your dad, is he saying

551
00:27:47,920 --> 00:27:48,520
Speaker 9: anything to you?

552
00:27:48,800 --> 00:27:50,600
Speaker 8: I feel like he was a little bit oblivious. He

553
00:27:50,680 --> 00:27:53,240
Speaker 8: was just like in dad mode, like he was just like, girls,

554
00:27:53,600 --> 00:27:55,399
Speaker 8: let's go, Like we got to go. We were about

555
00:27:55,440 --> 00:27:57,720
Speaker 8: to go, and my mom and my dad were about

556
00:27:57,760 --> 00:28:00,480
Speaker 8: to go rock climbing, and so he was about to

557
00:28:00,520 --> 00:28:02,240
Speaker 8: go change his outfit. So who was ready to go

558
00:28:02,359 --> 00:28:04,160
Speaker 8: rock climbing? And my stters and I would have been

559
00:28:04,600 --> 00:28:08,000
Speaker 8: on the ground playing while my parents would have been

560
00:28:08,000 --> 00:28:08,720
Speaker 8: climbing up.

561
00:28:08,680 --> 00:28:11,879
Speaker 9: A hill, and what were other people around the resort doing.

562
00:28:12,560 --> 00:28:15,720
Speaker 8: It was like at this moment people started to notice

563
00:28:15,720 --> 00:28:19,600
Speaker 8: something was going on, and you could see just the

564
00:28:19,640 --> 00:28:22,560
Speaker 8: way that people responded to this, like gut feeling that

565
00:28:22,600 --> 00:28:26,560
Speaker 8: you have of danger. And I remember as we're walking back,

566
00:28:26,600 --> 00:28:29,560
Speaker 8: this one woman with her baby sitting next to her,

567
00:28:30,000 --> 00:28:34,280
Speaker 8: just like frozen, staring out as the water is leaving.

568
00:28:35,040 --> 00:28:38,200
Speaker 8: And then I'm noticed like some people were like so

569
00:28:38,400 --> 00:28:41,160
Speaker 8: fascinated by the fish that were now just flopping around

570
00:28:41,200 --> 00:28:45,440
Speaker 8: everywhere and start like running out further into the ocean

571
00:28:45,480 --> 00:28:49,000
Speaker 8: to like go grab the fish. And then some people

572
00:28:49,000 --> 00:28:51,480
Speaker 8: are like completely oblivious, don't really know what's going on.

573
00:28:51,520 --> 00:28:53,320
Speaker 8: They're not looking at the beach, so they haven't even

574
00:28:53,400 --> 00:28:54,680
Speaker 8: noticed that the water is leaving.

575
00:28:55,120 --> 00:28:58,600
Speaker 9: How long from the water being sucked out into the ocean.

576
00:28:58,960 --> 00:29:00,120
Speaker 9: Does the first wave.

577
00:29:00,080 --> 00:29:03,280
Speaker 8: It like anything between two to five minutes, two to

578
00:29:03,360 --> 00:29:06,400
Speaker 8: five minutes, not long have you made it to the

579
00:29:06,440 --> 00:29:09,360
Speaker 8: apartment yet, So we're just about My dad is just

580
00:29:09,400 --> 00:29:11,959
Speaker 8: ab how to put the key into the apartment. And

581
00:29:12,160 --> 00:29:14,320
Speaker 8: all of a sudden, as a kid, you can just

582
00:29:14,400 --> 00:29:17,360
Speaker 8: you know your mom's voice. And even though she's probably

583
00:29:17,640 --> 00:29:21,000
Speaker 8: a few hundred meters or like a few feet from us,

584
00:29:21,080 --> 00:29:23,400
Speaker 8: a few hundred feet from us, I hear my mom's

585
00:29:23,480 --> 00:29:29,200
Speaker 8: yelling run, run, at the top of her lungs. And

586
00:29:29,520 --> 00:29:32,240
Speaker 8: she has now hung up the phone and is running

587
00:29:32,560 --> 00:29:36,560
Speaker 8: to the beach to stand where our sand castles are.

588
00:29:37,000 --> 00:29:38,600
Speaker 8: And she didn't know, because she didn't know if my

589
00:29:38,720 --> 00:29:40,440
Speaker 8: dad had taken us back to the room or not.

590
00:29:40,840 --> 00:29:43,320
Speaker 8: And at this point, the chaos is starting to build,

591
00:29:43,360 --> 00:29:46,720
Speaker 8: because you can see in the horizon is this thin

592
00:29:46,880 --> 00:29:49,920
Speaker 8: white line that's getting bigger and bigger by the second,

593
00:29:50,040 --> 00:29:53,160
Speaker 8: like coming towards our island at a rapid speed. And

594
00:29:53,200 --> 00:29:56,040
Speaker 8: as you're standing there, you can feel the whole ground

595
00:29:56,320 --> 00:29:59,760
Speaker 8: is shaking underneath us. And so she's yelling run and

596
00:30:00,000 --> 00:30:03,480
Speaker 8: standing there where our sand castles are, and she pauses

597
00:30:03,520 --> 00:30:05,440
Speaker 8: for at this moment, she's like, God, where are they?

598
00:30:05,520 --> 00:30:07,600
Speaker 8: And she hears this one word in the back of

599
00:30:07,600 --> 00:30:10,239
Speaker 8: her mind and it's flea. And she knows that we

600
00:30:10,240 --> 00:30:12,040
Speaker 8: weren't on the beach and she just had to trust

601
00:30:12,080 --> 00:30:15,120
Speaker 8: the flea. And so she turns around and starts yelling.

602
00:30:15,200 --> 00:30:18,480
Speaker 8: As she's doing this, she's yelling ruan, and some people

603
00:30:18,480 --> 00:30:20,320
Speaker 8: are listening to her. Some people don't know what to do,

604
00:30:20,520 --> 00:30:22,600
Speaker 8: and the chaos is like building and building and building,

605
00:30:22,640 --> 00:30:25,680
Speaker 8: and so she starts running down the path towards us,

606
00:30:25,720 --> 00:30:28,280
Speaker 8: and I just my mom is like one of the

607
00:30:28,320 --> 00:30:31,080
Speaker 8: strongest people I know, and I just remember seeing the

608
00:30:31,080 --> 00:30:34,360
Speaker 8: look in her eyes of fear and I'd never seen

609
00:30:34,360 --> 00:30:36,240
Speaker 8: that before. And I was ten years old, so I

610
00:30:36,320 --> 00:30:37,960
Speaker 8: was like at that age where I could kind of

611
00:30:38,000 --> 00:30:40,560
Speaker 8: understand what was going on. And I just see my

612
00:30:40,680 --> 00:30:44,200
Speaker 8: mom filled with fear and her eyes are so big.

613
00:30:44,280 --> 00:30:46,520
Speaker 8: And people at this point are smashing into each other

614
00:30:46,560 --> 00:30:48,720
Speaker 8: and banging into each other and chaos and people are

615
00:30:48,760 --> 00:30:51,280
Speaker 8: like grabbing each other's shirt and don't know what to do.

616
00:30:51,600 --> 00:30:53,560
Speaker 8: All they know is they feel the ground shaking and

617
00:30:53,600 --> 00:30:56,080
Speaker 8: they see this. Now at this point, we could see

618
00:30:56,080 --> 00:30:58,560
Speaker 8: it as this massive wave coming at our island at

619
00:30:58,600 --> 00:30:59,320
Speaker 8: a rapid space.

620
00:30:59,360 --> 00:31:01,720
Speaker 9: So you look back and you see the wave coming, yes,

621
00:31:01,880 --> 00:31:04,280
Speaker 9: And were you guys trying to get inside and go

622
00:31:04,400 --> 00:31:06,160
Speaker 9: up a bunch of stairs to get to higher ground

623
00:31:06,480 --> 00:31:07,600
Speaker 9: or what was going on there?

624
00:31:07,720 --> 00:31:09,800
Speaker 8: So my mom and my dad gather us, and my

625
00:31:09,880 --> 00:31:12,080
Speaker 8: dad grabs one sister and my mom grabs the other.

626
00:31:12,160 --> 00:31:15,080
Speaker 8: I'm the little, the eldest, but so I'm running as

627
00:31:15,160 --> 00:31:18,000
Speaker 8: fast as my little ten year old feet can behind them,

628
00:31:18,280 --> 00:31:20,520
Speaker 8: and we run to the other side the island because

629
00:31:20,520 --> 00:31:23,440
Speaker 8: we're not sure, like we're thinking, you know, wave smashes

630
00:31:23,600 --> 00:31:25,880
Speaker 8: on an island, like maybe it won't reach us if

631
00:31:25,920 --> 00:31:28,920
Speaker 8: we're on the other side. But the island was so small,

632
00:31:29,040 --> 00:31:31,240
Speaker 8: so we run to the other side of the island

633
00:31:31,480 --> 00:31:33,880
Speaker 8: and it was almost like the island. You could just

634
00:31:33,960 --> 00:31:37,000
Speaker 8: tell the wave is just going to come completely over

635
00:31:37,040 --> 00:31:39,400
Speaker 8: the island. So even when we ran to the other

636
00:31:39,440 --> 00:31:41,760
Speaker 8: side of the island, I can see the wave. It's

637
00:31:41,800 --> 00:31:46,200
Speaker 8: just coming at us from what felt like old like directions.

638
00:31:46,760 --> 00:31:49,880
Speaker 8: And there was this one moment that I'll never forget,

639
00:31:49,960 --> 00:31:51,960
Speaker 8: and there was this man and the only way to

640
00:31:52,000 --> 00:31:55,760
Speaker 8: get to this resort was by a boat, and there

641
00:31:55,800 --> 00:31:58,080
Speaker 8: was a man on a boat, and he climbs off

642
00:31:58,120 --> 00:32:00,840
Speaker 8: the boat and he starts running because people at this

643
00:32:00,880 --> 00:32:03,600
Speaker 8: point are understanding that there's a massive wave coming, a

644
00:32:03,640 --> 00:32:05,280
Speaker 8: wave they've never seen, and they have to get to

645
00:32:05,360 --> 00:32:08,080
Speaker 8: high ground. And so this man climbs off his boat

646
00:32:08,080 --> 00:32:10,960
Speaker 8: and starts running towards us, hoping he's gonna make it

647
00:32:11,000 --> 00:32:13,719
Speaker 8: to high ground in time. But he is a few

648
00:32:14,000 --> 00:32:17,160
Speaker 8: hundred feet from us and realizes. You see him have

649
00:32:17,240 --> 00:32:19,760
Speaker 8: this moment where he stops and he realizes, I'm not

650
00:32:19,800 --> 00:32:22,320
Speaker 8: gonna make it to the cliffs or the hills that

651
00:32:22,360 --> 00:32:24,840
Speaker 8: are on either side of the island, and so he

652
00:32:24,920 --> 00:32:27,640
Speaker 8: turns around and he starts running back onto his boat,

653
00:32:27,800 --> 00:32:30,520
Speaker 8: climbs onto his boat and is trying to climb like

654
00:32:30,760 --> 00:32:35,040
Speaker 8: inside underneath his boat to hide there. And this was

655
00:32:35,080 --> 00:32:38,000
Speaker 8: the moment when I was like I could die today.

656
00:32:38,200 --> 00:32:43,920
Speaker 8: I see the wave come towards him and then smash him,

657
00:32:44,400 --> 00:32:49,120
Speaker 8: and all I see is boat and body and blood

658
00:32:49,520 --> 00:32:56,000
Speaker 8: just go everywhere. And this wave absolutely obliterated him. And

659
00:32:56,080 --> 00:32:59,720
Speaker 8: I'm sitting there just thinking I could die.

660
00:32:59,800 --> 00:32:59,920
Speaker 3: Right.

661
00:33:00,040 --> 00:33:03,480
Speaker 9: Yeah, had you ever thought of death at ten years

662
00:33:03,520 --> 00:33:04,520
Speaker 9: old before this moment?

663
00:33:04,720 --> 00:33:04,920
Speaker 3: No?

664
00:33:05,320 --> 00:33:08,840
Speaker 9: Probably, just like old people die, Yeah, things like that.

665
00:33:08,760 --> 00:33:12,160
Speaker 8: Like you grow old and like I was ten, I

666
00:33:12,200 --> 00:33:15,160
Speaker 8: had a childhood full of innocence. Why would I need

667
00:33:15,200 --> 00:33:15,920
Speaker 8: to think about death?

668
00:33:15,960 --> 00:33:20,680
Speaker 9: And are you watching this man be blown to pieces

669
00:33:20,680 --> 00:33:24,960
Speaker 9: from the wave as you're running? Or are you paused?

670
00:33:25,200 --> 00:33:25,360
Speaker 2: Look?

671
00:33:25,480 --> 00:33:28,400
Speaker 8: We paused, and I looked back and I saw it.

672
00:33:28,680 --> 00:33:30,280
Speaker 9: Did you say anything to your parents? Or you're just

673
00:33:30,280 --> 00:33:31,040
Speaker 9: taking this all in?

674
00:33:31,240 --> 00:33:31,320
Speaker 4: No?

675
00:33:31,400 --> 00:33:33,440
Speaker 8: I'm just taking it all. And then my mom looks

676
00:33:33,480 --> 00:33:37,480
Speaker 8: at me. And this was another coincidence which I feel

677
00:33:37,560 --> 00:33:39,520
Speaker 8: like are just small miracles in which God choose to

678
00:33:39,520 --> 00:33:43,120
Speaker 8: remain anonymous. Is that the day before my mom and

679
00:33:43,160 --> 00:33:44,720
Speaker 8: I had gone for a walk. We were like, let's

680
00:33:44,720 --> 00:33:47,840
Speaker 8: you explore the island and we had found what we

681
00:33:47,880 --> 00:33:49,840
Speaker 8: call a New Zealand like a goat's path, but it

682
00:33:49,880 --> 00:33:53,120
Speaker 8: means like essentially like a path up one of the hills.

683
00:33:53,160 --> 00:33:55,360
Speaker 8: On either side of the island, there's two hills. We

684
00:33:55,400 --> 00:33:57,560
Speaker 8: found a path up one of the hills that was

685
00:33:57,640 --> 00:33:59,920
Speaker 8: kind of like a beaten down path, like it wasn't

686
00:34:00,160 --> 00:34:02,320
Speaker 8: a pretty path, but if somebody had clearly like made

687
00:34:02,320 --> 00:34:04,280
Speaker 8: a path so that you could climb up the hill.

688
00:34:04,720 --> 00:34:07,360
Speaker 8: And so we went up that path a little bit

689
00:34:07,400 --> 00:34:09,319
Speaker 8: the day before and then ended up going back down

690
00:34:09,360 --> 00:34:11,719
Speaker 8: and meeting with our family and having lunch. And so

691
00:34:12,000 --> 00:34:14,840
Speaker 8: in that moment when my mom's and my whole family

692
00:34:14,880 --> 00:34:17,440
Speaker 8: saw this man get obliterated, my mom looks at me

693
00:34:17,480 --> 00:34:20,880
Speaker 8: and she's like Riley the Goat's path, and she knew, like,

694
00:34:21,080 --> 00:34:24,080
Speaker 8: that's how we're gonna we have to outrun this sounami.

695
00:34:24,280 --> 00:34:26,520
Speaker 8: Even though I'm ten years old, I to run as

696
00:34:26,560 --> 00:34:29,399
Speaker 8: fast as it possibly can. We may not, we may

697
00:34:29,440 --> 00:34:32,719
Speaker 8: not make it. We've just I mean, at that man

698
00:34:32,920 --> 00:34:34,880
Speaker 8: was one death I saw, but it was one of

699
00:34:34,960 --> 00:34:38,799
Speaker 8: many deaths I saw. And we just start running. We

700
00:34:38,880 --> 00:34:41,759
Speaker 8: grabbed like my mom's like Riley go like and she

701
00:34:41,920 --> 00:34:44,440
Speaker 8: just she kind of was trusting me to remember the

702
00:34:44,480 --> 00:34:47,640
Speaker 8: way back. And I was just in those moments, your

703
00:34:48,160 --> 00:34:52,000
Speaker 8: body's on it, like adrenaline is pumping through your body,

704
00:34:52,040 --> 00:34:54,239
Speaker 8: and even though I'm ten years old, my mind like

705
00:34:54,480 --> 00:34:57,680
Speaker 8: remembers how to get exactly back to that path. And

706
00:34:57,760 --> 00:34:59,560
Speaker 8: so here I am, this ten year old little girl

707
00:34:59,640 --> 00:35:03,239
Speaker 8: guiding her family to the path of maybe safety.

708
00:35:03,440 --> 00:35:05,799
Speaker 9: And when you get up there is there are you

709
00:35:05,840 --> 00:35:08,200
Speaker 9: looking for things to hold onto, to brace yourself for

710
00:35:08,280 --> 00:35:10,279
Speaker 9: the wave impact? Or what are you being told to

711
00:35:10,320 --> 00:35:11,080
Speaker 9: do by your parents?

712
00:35:11,520 --> 00:35:13,799
Speaker 8: So We're being told by our parents to run as

713
00:35:13,880 --> 00:35:17,000
Speaker 8: fast as we can because we can see the tsunami,

714
00:35:17,120 --> 00:35:20,520
Speaker 8: and the tsunami was like fifty meters, which I don't

715
00:35:20,560 --> 00:35:23,840
Speaker 8: even know what that is in feed, but it's very high.

716
00:35:23,960 --> 00:35:27,960
Speaker 8: It's like seven story high. Wave is running at us,

717
00:35:28,480 --> 00:35:32,200
Speaker 8: and we know, my mom and dad know, like our

718
00:35:32,480 --> 00:35:35,719
Speaker 8: hope is to get higher than the wave and to

719
00:35:35,880 --> 00:35:39,120
Speaker 8: run up this hill as fast as we can and

720
00:35:39,239 --> 00:35:41,279
Speaker 8: hope that we get high enough that the wave can't

721
00:35:41,280 --> 00:35:44,759
Speaker 8: reach us. And so we're sprinting and we find we like,

722
00:35:44,840 --> 00:35:47,120
Speaker 8: go through the forest. I'm guiding us, and we find

723
00:35:47,160 --> 00:35:51,200
Speaker 8: that path up the up the hill, and I mean

724
00:35:51,719 --> 00:35:54,600
Speaker 8: just the sights and the sounds at this point, because

725
00:35:54,640 --> 00:35:59,279
Speaker 8: at this point the wave is on like the shoreline

726
00:35:59,520 --> 00:36:03,120
Speaker 8: of the Eye Island and is just killing people right

727
00:36:03,160 --> 00:36:06,600
Speaker 8: and left, and you hear just something that you would

728
00:36:06,640 --> 00:36:10,200
Speaker 8: imagine off a horror movie of screams and shouts. And

729
00:36:10,880 --> 00:36:13,480
Speaker 8: I'm ten years old. I'm a little curious little girl.

730
00:36:13,520 --> 00:36:15,640
Speaker 8: And so there's this one point where we're running up

731
00:36:15,680 --> 00:36:18,960
Speaker 8: the hill and I decide I just wanted to look back,

732
00:36:19,520 --> 00:36:22,000
Speaker 8: and so I look back and I wish I never

733
00:36:22,080 --> 00:36:25,880
Speaker 8: had Why what did you see? Because I saw just

734
00:36:26,200 --> 00:36:30,200
Speaker 8: this wave just destroying people, and I saw people with

735
00:36:30,320 --> 00:36:33,960
Speaker 8: no they were they didn't run fast enough, and they

736
00:36:34,000 --> 00:36:37,280
Speaker 8: had no other option but to turn and face the wave.

737
00:36:38,000 --> 00:36:41,200
Speaker 8: And there they were, and the wave just takes their

738
00:36:41,280 --> 00:36:51,160
Speaker 8: life in a matter of seconds.

739
00:36:55,040 --> 00:36:57,040
Speaker 1: Welcome back to Turning Point, to out where we are

740
00:36:57,080 --> 00:36:59,759
Speaker 1: charting the course of America's cultural comeback. We're gonna do

741
00:36:59,800 --> 00:37:02,520
Speaker 1: this thing on Friday that we're gonna start probably next week.

742
00:37:02,520 --> 00:37:04,640
Speaker 1: I know this is a relatively new show, so not

743
00:37:04,719 --> 00:37:07,160
Speaker 1: a ton of people have emailed, even though there have

744
00:37:07,280 --> 00:37:09,600
Speaker 1: been quite a bit, but we encourage you to email

745
00:37:09,680 --> 00:37:12,920
Speaker 1: the show at TPT at tpusa dot com. That is

746
00:37:12,960 --> 00:37:17,280
Speaker 1: Turning Point Tonight's TPT at tpusa dot com, and Friday

747
00:37:17,280 --> 00:37:20,200
Speaker 1: will be a mail bag day where we read some emails,

748
00:37:20,280 --> 00:37:23,560
Speaker 1: have some interaction, and have some fun hopefully. But in

749
00:37:23,600 --> 00:37:26,160
Speaker 1: lieu of that, this week, we are going to take

750
00:37:26,200 --> 00:37:29,120
Speaker 1: you through a social media site that you probably don't

751
00:37:29,120 --> 00:37:32,359
Speaker 1: know a ton about called Threads, which is Mark Zuckerberg's

752
00:37:32,400 --> 00:37:36,680
Speaker 1: knockoff X platform that houses some of the most crazy

753
00:37:36,680 --> 00:37:39,080
Speaker 1: people that I think exist on the Internet. This is

754
00:37:39,120 --> 00:37:43,160
Speaker 1: why we'll call this the Dreaded Threads. So we're gonna

755
00:37:43,200 --> 00:37:45,200
Speaker 1: read some stuff, We're gonna react to some things, and

756
00:37:45,520 --> 00:37:48,520
Speaker 1: we'll have some fun all the way around. First up

757
00:37:49,000 --> 00:37:52,440
Speaker 1: is this one, you know, of all of the hills

758
00:37:52,440 --> 00:37:55,200
Speaker 1: to die on, this seems to be the dumbest one.

759
00:37:55,480 --> 00:38:00,000
Speaker 2: It's the Gulf of Mexico period. Okay, well it's not anymore.

760
00:38:00,400 --> 00:38:03,879
Speaker 2: And also, who cares? Why do we care so much

761
00:38:03,880 --> 00:38:04,279
Speaker 2: about this?

762
00:38:04,320 --> 00:38:07,520
Speaker 1: Why does the left think that everything Donald Trump does

763
00:38:07,640 --> 00:38:10,560
Speaker 1: is so awful that you need to take to the

764
00:38:10,600 --> 00:38:14,880
Speaker 1: internet with such an angry, disgusted tone. What if what

765
00:38:14,920 --> 00:38:18,040
Speaker 1: if President Trump says the sky is blue? Are they

766
00:38:18,080 --> 00:38:23,360
Speaker 1: gonna start tweeting or threading out sometimes it gets darker

767
00:38:23,800 --> 00:38:27,759
Speaker 1: or sometimes at sunset it's a beautiful pink color. Yeah,

768
00:38:27,840 --> 00:38:31,480
Speaker 1: we know, but in general, this guy is blue. What

769
00:38:31,560 --> 00:38:34,680
Speaker 1: if he says, yeah, breathing oxygen is a good way

770
00:38:34,719 --> 00:38:36,240
Speaker 1: to maintain being alive.

771
00:38:37,120 --> 00:38:40,680
Speaker 2: No, some people don't need to bring out you. I

772
00:38:40,760 --> 00:38:42,920
Speaker 2: just I just you know, you can't with these people.

773
00:38:43,440 --> 00:38:44,200
Speaker 2: As a matter of fact.

774
00:38:44,680 --> 00:38:47,360
Speaker 1: You know, maybe maybe we should name the golf of

775
00:38:47,400 --> 00:38:53,720
Speaker 1: America actually to this, the the golf of liberal tears. Unfortunately, however,

776
00:38:53,760 --> 00:38:57,600
Speaker 1: I don't think enough I don't think there's enough volume

777
00:38:57,760 --> 00:39:00,279
Speaker 1: to gather all of the liberal tears in the golf

778
00:39:00,280 --> 00:39:03,000
Speaker 1: of liberal tiers, I think they would still be overflowing.

779
00:39:03,040 --> 00:39:06,440
Speaker 1: And you know, maybe we'll you know, engulf some of

780
00:39:06,480 --> 00:39:09,520
Speaker 1: the some of the land masses over there. But I

781
00:39:09,560 --> 00:39:13,160
Speaker 1: guess we'll see. Continuing on to the dreaded threads, there

782
00:39:13,239 --> 00:39:17,239
Speaker 1: is this at Tory Anne says, why hasn't he been

783
00:39:17,239 --> 00:39:20,560
Speaker 1: impeached four times? But you know, actually if you do

784
00:39:21,160 --> 00:39:25,080
Speaker 1: capitalize and then repeat, it actually adds more gravitas to

785
00:39:25,239 --> 00:39:28,480
Speaker 1: the thing that you post on the internet. Interesting fun fact.

786
00:39:29,239 --> 00:39:32,560
Speaker 1: Al Green, the wacko that stood up and started yelling

787
00:39:32,719 --> 00:39:37,160
Speaker 1: during President's Trump's Joints Session speech, I think, issued his

788
00:39:37,880 --> 00:39:41,759
Speaker 1: fifth articles of impeachment, none of which have been taken seriously,

789
00:39:41,800 --> 00:39:43,879
Speaker 1: by the way, and the things is the second one

790
00:39:44,080 --> 00:39:47,480
Speaker 1: this time around, I would love to see Congressman Al

791
00:39:47,520 --> 00:39:51,680
Speaker 1: Green go for a monthly impeachment introduction. Of course, none

792
00:39:51,719 --> 00:39:53,720
Speaker 1: of it will ever work, because again, like I said,

793
00:39:53,800 --> 00:39:57,200
Speaker 1: he's kind of a crazy person. But it'd be fun.

794
00:39:57,280 --> 00:39:59,000
Speaker 1: It'd be fun to see. Let's get to the last

795
00:39:59,040 --> 00:40:02,040
Speaker 1: one really really quick. I genuinely never been a kind

796
00:40:02,239 --> 00:40:06,480
Speaker 1: generous conservative. Well, I think you have because conservatives generally

797
00:40:06,520 --> 00:40:09,239
Speaker 1: give more to charity and are generous and kind all

798
00:40:09,280 --> 00:40:13,080
Speaker 1: the way around. No real explanation there, but you gotta

799
00:40:13,080 --> 00:40:14,839
Speaker 1: wrap it up there. Thanks so much for tuning into

800
00:40:14,840 --> 00:40:17,799
Speaker 1: Turning Point tonight. Up next is the e clip from

801
00:40:17,800 --> 00:40:19,440
Speaker 1: the Charlie Kirks Show. But that's gonna do it for

802
00:40:19,560 --> 00:40:22,400
Speaker 1: us here at Turning Point tonight. We will see Monday,

803
00:40:22,520 --> 00:40:24,799
Speaker 1: same time, same place. Thanks so much for tuning in.

804
00:40:24,920 --> 00:40:31,720
Speaker 1: God bless America.

805
00:40:32,920 --> 00:40:35,680
Speaker 3: We had a great event yesterday at cal State Northridge,

806
00:40:35,760 --> 00:40:37,680
Speaker 3: but we're gonna dive right into it with guests today.

807
00:40:37,719 --> 00:40:41,040
Speaker 3: We have a rapid moving show today here on the

808
00:40:41,120 --> 00:40:43,120
Speaker 3: Charlie Kirkshow, as we led a lot of the news

809
00:40:43,120 --> 00:40:47,440
Speaker 3: cycle yesterday. Joining us now is a great guest, Mark Halprin.

810
00:40:47,560 --> 00:40:51,440
Speaker 3: I love getting the emails from Mark Calprin every single morning.

811
00:40:51,600 --> 00:40:53,640
Speaker 3: I think it's the wild World of Politics. I think

812
00:40:53,680 --> 00:40:55,840
Speaker 3: I got that right. But I love it because the

813
00:40:56,000 --> 00:41:00,680
Speaker 3: subject lines always catch my attention, They always catch my eyeballs.

814
00:41:00,680 --> 00:41:01,640
Speaker 2: Mark, Great to see.

815
00:41:01,440 --> 00:41:04,640
Speaker 10: You, Good to see you, sir. It's wide world of News.

816
00:41:04,680 --> 00:41:05,520
Speaker 10: You were very close.

817
00:41:05,680 --> 00:41:08,600
Speaker 3: I was close, okay, Mark Halprin's Wide World of News

818
00:41:08,600 --> 00:41:12,640
Speaker 3: a two way TV. Mark, welcome and your reaction to

819
00:41:12,840 --> 00:41:17,160
Speaker 3: the Gavin Newsom comment on my appearance on his podcast.

820
00:41:18,680 --> 00:41:20,239
Speaker 10: I have so many thoughts about it. I'll tell you

821
00:41:20,280 --> 00:41:22,879
Speaker 10: my two top ones. First of all, you would think

822
00:41:22,920 --> 00:41:25,120
Speaker 10: if someone found themselves for the first time in their

823
00:41:25,160 --> 00:41:27,600
Speaker 10: adult life in a room with someone more handsome than them,

824
00:41:28,280 --> 00:41:29,319
Speaker 10: they might it might.

825
00:41:29,280 --> 00:41:30,200
Speaker 5: Lead to humility.

826
00:41:30,560 --> 00:41:32,920
Speaker 10: But instead it's let to your producers, creating it like

827
00:41:32,960 --> 00:41:35,759
Speaker 10: a little shrine to you about your appearance. So I'm

828
00:41:35,760 --> 00:41:38,480
Speaker 10: a little I'm a little surprised. Had you been in

829
00:41:38,480 --> 00:41:40,600
Speaker 10: the room with Gavin Newsom before? Was it the first time?

830
00:41:40,719 --> 00:41:42,440
Speaker 3: No, No, that was the first time ever.

831
00:41:42,520 --> 00:41:43,239
Speaker 5: Yeah.

832
00:41:43,280 --> 00:41:45,520
Speaker 10: So again, you're two of the three most handsome men

833
00:41:45,600 --> 00:41:48,760
Speaker 10: I know, and so for me, it's just eye candy.

834
00:41:48,880 --> 00:41:53,320
Speaker 10: To the extent I listened, I thought it was super interesting.

835
00:41:53,360 --> 00:41:55,839
Speaker 10: I'm really glad you two did that. You're both fans

836
00:41:55,840 --> 00:41:57,879
Speaker 10: of Two Way, although neither of you have come on yet.

837
00:41:57,960 --> 00:42:01,279
Speaker 10: That's my other big thought. But but I have great

838
00:42:01,280 --> 00:42:04,880
Speaker 10: respect for both of you. I think that you're not underrated,

839
00:42:04,960 --> 00:42:08,359
Speaker 10: at least not anymore. He's still underrated. I'm not sure

840
00:42:08,360 --> 00:42:09,920
Speaker 10: he'll run for president. I'm not sure if he ran,

841
00:42:10,000 --> 00:42:12,839
Speaker 10: he'll win, But I think he's a very thoughtful guy.

842
00:42:12,880 --> 00:42:14,759
Speaker 10: He's not as liberal as people think, and you saw

843
00:42:14,760 --> 00:42:17,279
Speaker 10: that in the big news he made with you on

844
00:42:17,360 --> 00:42:21,960
Speaker 10: trends and sports. And he's a better with people than

845
00:42:22,000 --> 00:42:24,680
Speaker 10: he's giving credit for. He's had some troubles governing his state,

846
00:42:24,719 --> 00:42:26,960
Speaker 10: in part because of the legislature is so liberal. But

847
00:42:27,000 --> 00:42:30,000
Speaker 10: I think for me, you two sitting down and doing

848
00:42:30,040 --> 00:42:32,680
Speaker 10: that is great. And I think in general i've listened

849
00:42:32,719 --> 00:42:34,359
Speaker 10: to I haven't finished it. I've listened to about two

850
00:42:34,400 --> 00:42:37,160
Speaker 10: thirds of it. I think it's a great conversation, and

851
00:42:37,200 --> 00:42:42,320
Speaker 10: I think you two talked about things in a way

852
00:42:42,760 --> 00:42:46,360
Speaker 10: that was good. In other words, like you weren't. It

853
00:42:46,400 --> 00:42:47,799
Speaker 10: was very much in the spirit of what I try

854
00:42:47,800 --> 00:42:49,920
Speaker 10: to do. You just communicated with each other. You didn't

855
00:42:49,920 --> 00:42:53,200
Speaker 10: come trying to score points. And obviously he seated a

856
00:42:53,200 --> 00:42:56,760
Speaker 10: lot of grand to you on the twenty twenty four election,

857
00:42:57,120 --> 00:42:58,480
Speaker 10: and particularly on this issue of.

858
00:43:00,200 --> 00:43:01,680
Speaker 5: Athletes and women's sports.

859
00:43:02,000 --> 00:43:05,080
Speaker 3: What do you make let's just posit that he probably

860
00:43:05,120 --> 00:43:06,040
Speaker 3: is running for president.

861
00:43:06,160 --> 00:43:06,880
Speaker 2: I think he is.

862
00:43:06,960 --> 00:43:10,400
Speaker 3: I think he's incredibly ambitious about the shift on the

863
00:43:10,440 --> 00:43:14,959
Speaker 3: trans issue and the pushback and the blowback that he's

864
00:43:15,080 --> 00:43:20,000
Speaker 3: receiving for kind of pivoting on the transition. I actually

865
00:43:20,040 --> 00:43:23,279
Speaker 3: don't think it's genuine because he has actions he could take,

866
00:43:23,560 --> 00:43:26,640
Speaker 3: but even the statement of that is a divergence from

867
00:43:26,960 --> 00:43:29,600
Speaker 3: the current Democrat Party orthodoxy.

868
00:43:30,800 --> 00:43:32,560
Speaker 10: Like the way you framed it. Look, let's see if

869
00:43:32,600 --> 00:43:36,000
Speaker 10: he takes any action. It is the case that sometimes

870
00:43:36,440 --> 00:43:40,479
Speaker 10: political figures, elected officials have positions and they don't act them.

871
00:43:41,000 --> 00:43:41,200
Speaker 5: Right.

872
00:43:41,680 --> 00:43:44,399
Speaker 10: You've had pro life presidents who didn't do very much

873
00:43:44,440 --> 00:43:47,440
Speaker 10: to try to overturn Roe or to try to change

874
00:43:47,480 --> 00:43:49,319
Speaker 10: the law in a way that would protect more life.

875
00:43:49,360 --> 00:43:51,319
Speaker 5: So that's one example I could give you many.

876
00:43:52,480 --> 00:43:55,680
Speaker 10: Look, this is a guy who was for same sex

877
00:43:55,719 --> 00:43:58,960
Speaker 10: marriage publicly before Nancy Pelosi was, before the Clintons were,

878
00:43:59,000 --> 00:44:01,319
Speaker 10: before Barack Obama was, which you could say means he's

879
00:44:01,360 --> 00:44:03,880
Speaker 10: more left wing than them, or you could say he

880
00:44:04,040 --> 00:44:06,439
Speaker 10: is willing sometimes to take positions that are a little

881
00:44:06,480 --> 00:44:10,399
Speaker 10: bit risky. That position's popular now, but it wasn't back then.

882
00:44:11,080 --> 00:44:13,880
Speaker 10: I think that every Democrat has says themselves two questions

883
00:44:13,880 --> 00:44:17,400
Speaker 10: if they disagree with Governor Newsman, and many people criticize him.

884
00:44:17,600 --> 00:44:20,239
Speaker 10: One is, do you want your party to be on

885
00:44:20,280 --> 00:44:22,680
Speaker 10: the wrong side of an issue? Seventy thirty eighty twenty,

886
00:44:23,160 --> 00:44:26,200
Speaker 10: And if you truly believe that you want to take

887
00:44:26,239 --> 00:44:29,200
Speaker 10: the position that's the minority, go out and defend it.

888
00:44:29,520 --> 00:44:32,120
Speaker 10: Don't try to, as most Democrats are doing today, try

889
00:44:32,120 --> 00:44:34,319
Speaker 10: to obscure the issue and say, well, it should be

890
00:44:34,360 --> 00:44:37,880
Speaker 10: up to local officials. There's a clear demarcation here. And

891
00:44:37,920 --> 00:44:40,560
Speaker 10: I think whether you think he switched for cynical purposes

892
00:44:40,640 --> 00:44:44,040
Speaker 10: or not, I think he explained himself pretty well. And

893
00:44:44,080 --> 00:44:46,279
Speaker 10: I don't think it's I don't think it's obvious that

894
00:44:46,320 --> 00:44:49,080
Speaker 10: he's taking I don't think it's I would take him at.

895
00:44:48,960 --> 00:44:50,920
Speaker 5: His word that this is what he thinks.

896
00:44:51,320 --> 00:44:53,040
Speaker 10: But as you said, if that's really what he thinks,

897
00:44:53,040 --> 00:44:55,720
Speaker 10: there's some actions that have to come with it following through.

898
00:44:56,200 --> 00:44:57,880
Speaker 10: But if he does want to run for president, and

899
00:44:57,920 --> 00:45:00,080
Speaker 10: again I'm not assure as you that he does he

900
00:45:00,120 --> 00:45:02,840
Speaker 10: does want to run for president, that kind of thing

901
00:45:03,080 --> 00:45:05,080
Speaker 10: is going to put him in a category that very

902
00:45:05,080 --> 00:45:07,320
Speaker 10: few Democrats today are willing to be in, which is

903
00:45:07,680 --> 00:45:10,080
Speaker 10: stand up to the base of the party with principle

904
00:45:10,120 --> 00:45:10,640
Speaker 10: and emotion.

905
00:45:11,640 --> 00:45:14,040
Speaker 3: And some would say it might be the beginning of

906
00:45:14,080 --> 00:45:16,879
Speaker 3: a Sister Soldier moment, which you might remember was Bill

907
00:45:16,920 --> 00:45:20,360
Speaker 3: Clinton running for the presidency in nineteen ninety two. I

908
00:45:20,400 --> 00:45:21,520
Speaker 3: was actually before I was born.

909
00:45:22,400 --> 00:45:24,120
Speaker 5: Yeah, it was before you were born, and I was

910
00:45:24,160 --> 00:45:24,920
Speaker 5: in the room for it.

911
00:45:25,000 --> 00:45:27,480
Speaker 3: So well, now'll educate the audience on this though. What

912
00:45:27,560 --> 00:45:30,680
Speaker 3: was the context? Why is that an important reference point?

913
00:45:31,600 --> 00:45:31,920
Speaker 5: Yeah?

914
00:45:31,960 --> 00:45:34,319
Speaker 10: I use it all the time, that that phrase, because

915
00:45:34,360 --> 00:45:36,200
Speaker 10: I covered the Clean campaign and I was there for that.

916
00:45:36,440 --> 00:45:39,440
Speaker 10: Sister Soldier was a rap artist who had lyrics that

917
00:45:39,480 --> 00:45:42,320
Speaker 10: were very violent about I think killing police. It was

918
00:45:42,360 --> 00:45:46,520
Speaker 10: at least about violence against police. And he went and

919
00:45:46,560 --> 00:45:50,440
Speaker 10: spoke to Jesse Jackson's Rainbow Coalition event. Sister Soldier had

920
00:45:50,480 --> 00:45:53,719
Speaker 10: spoken earlier at the same event, and he said, you

921
00:45:53,719 --> 00:45:56,800
Speaker 10: had a raps thinger here named Sister Soldia. I disagree

922
00:45:56,840 --> 00:46:01,520
Speaker 10: with her, seemed today that seems maybe a little quaint.

923
00:46:02,040 --> 00:46:05,200
Speaker 10: But back then, when Bill Clinton's Democratic Party was not

924
00:46:05,320 --> 00:46:07,640
Speaker 10: as far left as it is today, but it was

925
00:46:07,640 --> 00:46:10,719
Speaker 10: too far left to win presidential elections, standing up to

926
00:46:10,760 --> 00:46:13,560
Speaker 10: the base of the party it was seen as very

927
00:46:13,560 --> 00:46:16,719
Speaker 10: difficult now and few were willing to risk doing it.

928
00:46:16,880 --> 00:46:20,240
Speaker 10: Bill Clinton's whole campaign was a bad Sister Soldier moments

929
00:46:20,280 --> 00:46:23,080
Speaker 10: he came out for NAFTO, which back then was out

930
00:46:23,080 --> 00:46:25,680
Speaker 10: of step with the Democratic Party, a trade deal.

931
00:46:25,719 --> 00:46:27,360
Speaker 5: He came out for the death penalty.

932
00:46:27,560 --> 00:46:29,880
Speaker 10: He came out for right to work laws against right

933
00:46:29,920 --> 00:46:32,479
Speaker 10: to work laws, a right to work laws.

934
00:46:32,640 --> 00:46:34,120
Speaker 5: He came out for welfare reform.

935
00:46:34,560 --> 00:46:37,759
Speaker 10: All of these things were seen as part of a

936
00:46:38,000 --> 00:46:41,040
Speaker 10: very self conscious and purposeful effort to say things that

937
00:46:41,040 --> 00:46:42,880
Speaker 10: would put him in odds with the liberal wing of

938
00:46:42,920 --> 00:46:46,200
Speaker 10: the party, to say to more moderate voters, including independents

939
00:46:46,200 --> 00:46:48,919
Speaker 10: and Republicans, but also to Democrats who wanted to win.

940
00:46:49,400 --> 00:46:51,440
Speaker 10: I will stand up to the base of the party. Now,

941
00:46:51,600 --> 00:46:53,600
Speaker 10: when you say Gavin Newsom might have said what he

942
00:46:53,680 --> 00:46:58,120
Speaker 10: said with you purely for cynical political purposes, I think

943
00:46:58,160 --> 00:47:00,799
Speaker 10: Bill Clinton believed all those positions, so it had the

944
00:47:00,840 --> 00:47:03,000
Speaker 10: added advantage of being what he believed, and it's easier

945
00:47:03,000 --> 00:47:05,240
Speaker 10: to sell that to the public if it's a legit position.

946
00:47:05,800 --> 00:47:08,000
Speaker 10: But I think Gavin Newsom is someone who has in

947
00:47:08,040 --> 00:47:11,440
Speaker 10: the past not gotten enough credit for criticizing some of

948
00:47:11,440 --> 00:47:13,400
Speaker 10: the more liberal policies of the party. And this is

949
00:47:13,640 --> 00:47:17,400
Speaker 10: of a piece with that. And again, when the left squeals,

950
00:47:17,719 --> 00:47:21,160
Speaker 10: which they have, and I think it's been more muted

951
00:47:21,200 --> 00:47:23,279
Speaker 10: than it might have been, you got to follow through

952
00:47:23,280 --> 00:47:25,600
Speaker 10: with it. If you want to make the political points

953
00:47:26,400 --> 00:47:29,360
Speaker 10: stick and sustain You've got to stick to your guns.

954
00:47:29,360 --> 00:47:31,440
Speaker 10: You've got to look for opportunities to do it, but

955
00:47:31,480 --> 00:47:32,640
Speaker 10: you also have to do if you want to win

956
00:47:32,680 --> 00:47:35,000
Speaker 10: the Democratic nomination, you also have to do what Bill

957
00:47:35,040 --> 00:47:37,400
Speaker 10: Clinton did. Bill Clinton said, I would say I'm a

958
00:47:37,440 --> 00:47:41,959
Speaker 10: Democrat by birth, heritage, and inclination, and that's the only

959
00:47:41,960 --> 00:47:45,200
Speaker 10: way to get the Democratic nomination because it's still dominated

960
00:47:45,239 --> 00:47:47,680
Speaker 10: by the liberal wing of the party. Drag them to

961
00:47:47,680 --> 00:47:50,000
Speaker 10: the center on some issues, but convince them that you're

962
00:47:50,040 --> 00:47:52,000
Speaker 10: one of them. And I think Gavin Newsom's one of

963
00:47:52,040 --> 00:48:03,000
Speaker 10: the few Democrats with the skill to do that, and