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Speaker 1: Welcome everybody to the Wednesday edition of d Clay Travis

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Speaker 1: and Buck Sexton Show.

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Speaker 2: The shutdown has.

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Speaker 1: Come to a shutdown, I guess, or they've unshut it down.

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Speaker 3: So that's good.

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Speaker 1: That's something that we can certainly have a moment of, well,

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Speaker 1: if not satisfaction over, we can definitely look at each

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Speaker 1: other and say, what the heck was that about?

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Speaker 2: And we're going to do that.

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Speaker 1: Also got some discussion underway after appearances by the President

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Speaker 1: himself and also his Secretary of Homeland Security on H

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Speaker 1: one B visas on immigration, some interesting points coming across,

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Speaker 1: particularly in an interview with Trump and Fox News's Laura Ingraham.

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Speaker 1: We will have those discussions. We've also got hopefully an

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Speaker 1: end to the flight delays or pretty close to an

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Speaker 1: end of the flight delays here, so that's going on.

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Speaker 1: That is certainly a good thing. A Secretary of War,

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Speaker 1: not to be confused with Secretary of Defense, heg Seth

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Speaker 1: has some thoughts about the reformation of some of the

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Speaker 1: military that he has put into effect, and we will

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Speaker 1: discuss that too. But Clay, I want to start with this.

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Speaker 1: Stephen Miller had some thoughts to share on the Democrat shutdown.

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Speaker 1: The White Houses own Stephen Miller, this is what he

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Speaker 1: has to say, Play eleven.

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Speaker 3: It was worse than pointless.

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Speaker 4: It was cruel, It was capricious, It was dangerous, It

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Speaker 4: was radical, it was extreme. The Democrats shut down the

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Speaker 4: government in a failed attempt to extort one point five

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Speaker 4: trillion dollars for their pet projects, including, as has long

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Speaker 4: been documented in Black and White, full funding for healthcare,

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Speaker 4: leaval aliens for several hundred billions of dollars. They resulted in,

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Speaker 4: as a consequence their shutdown, massive flight delays for the

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Speaker 4: American people, huge impacts on public safety, federal.

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Speaker 3: Workers going without pay, people.

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Speaker 4: Who are living paycheck to paycheck, not being able to

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Speaker 4: make ends meet. This was a Democrat sabotage of the

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Speaker 4: Trump economy.

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Speaker 1: It was clay, and it was used to try to

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Speaker 1: get maximum turnout result on election day. And Democrats did

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Speaker 1: have good results, unfortunately in those elections. But it was

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Speaker 1: deeply cynical, it was destructive, and I hope that the

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Speaker 1: American people, who are open to the evidence of their

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Speaker 1: own eyes and ears, will remember the madness that was

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Speaker 1: inflicted upon us for a month by Democrats pouting and

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Speaker 1: demanding that they get their way and it was outrageous.

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Speaker 5: Do you think it's a.

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Speaker 6: Test potentially for twenty twenty six? In other words, are

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Speaker 6: they trying to look at the numbers that came out

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Speaker 6: in Virginia and New Jersey and say, if we're shutting

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Speaker 6: down the government, does the idea that there's chaos work

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Speaker 6: against Trump? Is there a larger game plan here? We

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Speaker 6: know that they gained nothing essentially from this shutdown, but

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Speaker 6: going forward, did they learn something that they want to apply?

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Speaker 6: Is there any resonance here or is this just going

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Speaker 6: to vanish? They're already moving on. I'm watching the news

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Speaker 6: stories right now. They're not even discussing anything having to

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Speaker 6: do with the shutdown. They've moved on to emails and

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Speaker 6: Epstein and everything else there, which they're trying to turn

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Speaker 6: into a story to connect Trump to Epstein. And they've

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Speaker 6: been trying to do this for years candidly. But so

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Speaker 6: is the what is the takeaway? Right you go into

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Speaker 6: a game, you lose. They lost. Did they test anything,

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Speaker 6: did they learn anything? It's just so dumb and ineffective

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Speaker 6: that a part of me thinks there has to be

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Speaker 6: a larger strategic comparative in play here than just we

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Speaker 6: shut down everything for forty three days and now everything

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Speaker 6: is fine.

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Speaker 1: Well, if we look at cut twelve here for a

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Speaker 1: second Clay, this is Hakeem Jeffries, and he is saying

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Speaker 1: the following about where House Democrats stand on this play twelve.

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Speaker 7: House Democrats will strongly oppose any legislation that does not

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Speaker 7: decisively address the Republican health care crisis. We want to

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Speaker 7: reopen the government. We'll continue to stand by our hard

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Speaker 7: working federal employees and civil servants. But we have a

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Speaker 7: responsibility to make sure that we extend the Affordable Care

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Speaker 7: Act tax credits so that tens of millions of Americans

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Speaker 7: don't experience dramatically increase health care costs that's going to

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Speaker 7: prevent them from being able to see a doctor when

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Speaker 7: they need one.

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Speaker 1: Let's unpack this a little bit for second clay, the

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Speaker 1: Republican healthcare crisis. Okay, let's really look at the facts here.

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Speaker 1: The facts are as follows. The Democrats during COVID put

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Speaker 1: in place a multi multi billion dollar temporary all agreed

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Speaker 1: that it was temporary at the time, basically win fall

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Speaker 1: for Obamacare exchanges. It's gonna throw billions of dollars into

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Speaker 1: a on a temporary basis. And now we have come

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Speaker 1: to a point where the Democrats under Schumer earlier this

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Speaker 1: year agreed to spending levels without those temporary billions in subsidies.

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Speaker 1: But then they say, you know what, they're not really temporary.

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Speaker 1: We want them forever, and we're going to shut down

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Speaker 1: the government. And this is a Republican problem. I mean

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Speaker 1: that is, I think when people look at what has

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Speaker 1: happened here, there's an understanding that the Democrats are being

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Speaker 1: incredibly dishonest, which is not a surprise to any of us.

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Speaker 1: But they really don't have a leg to stand on

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Speaker 1: other than line about what's really happened here.

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Speaker 6: Also, this is reflective of everything that is in any

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Speaker 6: way not permanent. If you end it is described as

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Speaker 6: a cut right like. The reality is this was a

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Speaker 6: temporary program that was for its entire existence predicated on

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Speaker 6: the idea that it would not exist forever as soon

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Speaker 6: as the temporary program runs out. And the reason why

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Speaker 6: it was temporary program, buck is they didn't want to

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Speaker 6: have the cost tallied for decades into the future of

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Speaker 6: just how expensive this was going to be as soon

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Speaker 6: as that temporary program runs out. A decision not to

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Speaker 6: continue with the temporary program is seen as a cut.

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Speaker 6: The big flaw here that is I think becoming increasingly

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Speaker 6: clear to so many Americans of all different backgrounds, is

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Speaker 6: the healthcare industry is broken, and the idea that by

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Speaker 6: subsidizing healthcare insurance you're going to help with health care costs,

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Speaker 6: I think has been proven to be frankly one wrong.

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Speaker 6: And all it is done is inflated the bureaucracy of

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Speaker 6: the healthcare insurance companies and given them way money. Obamacare

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Speaker 6: is just a big giveaway to the healthcare insurance industry.

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Speaker 6: And we talked about this some earlier this week and

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Speaker 6: last week, but I do think it's significant that if

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Speaker 6: you pulled Americans and you said what companies do you

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Speaker 6: hate the most dealing with in America? Don't you think

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Speaker 6: healthcare insurance would be number one overall?

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Speaker 5: Right now?

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Speaker 2: Buck?

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Speaker 6: If you asked Americans, hey, what for profit industry out

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Speaker 6: there that you have to deal with on a regular

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Speaker 6: basis do you hate the most? I don't even think

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Speaker 6: there's a close second. I think it's the healthcare insurance companies,

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Speaker 6: and unlike car insurance, which is frustrating, but as these

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Speaker 6: self driving cars come on the market, I actually think

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Speaker 6: the overall cost of car insurance is going to plummet.

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Speaker 6: I mean, you can argue as we move into more

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Speaker 6: and more of a self driving car industry and future,

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Speaker 6: that that's one where you look at that you say, oh,

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Speaker 6: the amount of money that we're having to spend on

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Speaker 6: cars could end up going down in the future, and

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Speaker 6: I'm optimistic that that could occur. The problem with healthcare

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Speaker 6: insurance is we're getting more and more older people in

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Speaker 6: the country, and the amount of healthcare that you need

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Speaker 6: skyrockets as you age, and so I don't see any

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Speaker 6: way that this is going to get better. And really

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Speaker 6: the only way healthcare works, the only way healthcare insurance

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Speaker 6: works is if there are tons of young people who

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Speaker 6: basically never need insurance that are paying for older people

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Speaker 6: who do need insurance. I was meeting with a healthcare

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Speaker 6: industry guy recently, buck and he said, Hey, we got

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Speaker 6: killed in our company. He said, how do you think

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Speaker 6: we got killed in the company recently? And I said,

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Speaker 6: I don't know. He said, we had people going out

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Speaker 6: and signing up young people. What is the one thing

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Speaker 6: that could crush you If you're a health insurance company

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Speaker 6: and you're signing up young people, pregnant women because the

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Speaker 6: cost of having a baby is high, and so somehow

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Speaker 6: the cost of these insurance companies pregnant women all got

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Speaker 6: signed up. A cost of having a baby is expensive,

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Speaker 6: and that's basically for young people.

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Speaker 5: For people under the age of thirty five.

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Speaker 6: The only way under forty the only way that these

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Speaker 6: health insurance companies really get hit is when they have

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Speaker 6: expensive when people have kids. Otherwise, most people putting money

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Speaker 6: in never use it, and elderly people are able to

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Speaker 6: benefit from that. The problem is now we have way

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Speaker 6: too few young people and a huge exit, huge influx

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Speaker 6: of older people.

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Speaker 5: It's gonna bring Well.

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Speaker 1: This is where you see the problem lies. It's all

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Speaker 1: about hiding what's really going on from people so that

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Speaker 1: they can't understand where the money is being spent and

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Speaker 1: what their role in this whole system is. Because if

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Speaker 1: you buy insurance as an individual, something like seventy percent

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Speaker 1: they estimate clay of the people who buy insurance on

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Speaker 1: the individual marketplace, right, so not company subsidized, which is

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Speaker 1: a whole other component of this. Seventy percent of them

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Speaker 1: said that if without the billions in subsidies from the government,

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Speaker 1: the enhanced subsidies, they would have a huge increase in

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Speaker 1: their premiums that they would not be able to afford.

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Speaker 1: Why is that right? Why are the individual marketplaces so

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Speaker 1: very expensive? Why is it that people keep seeing their

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Speaker 1: premiums going up year after year. It's not insurance. If

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Speaker 1: you are young and healthy, you are forced into this system.

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Speaker 1: And when I say young, I mean relatively young, thirties, forties, fifties.

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Speaker 1: You are forced into this system to subsidize the care

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Speaker 1: for the old and the sick. Now, if that's what

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Speaker 1: we have to do as a society, that's one thing,

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Speaker 1: but we at least need to have an honest conversation

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Speaker 1: about that.

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Speaker 2: You are not getting a good.

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Speaker 1: Deal if you are in your thirties, forties, and fifties

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Speaker 1: and you are getting anything that is a health insurance

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Speaker 1: plan on the individual market, anything that is Obamacare approved, Medicaid.

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Speaker 2: Any of that stuff.

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Speaker 6: Well, and I may be, I think there's a lot

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Speaker 6: of people around my age that kind of are in

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Speaker 6: this world. I care less about the individual expense and

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Speaker 6: more about just having catastrophic protection. It's highly unlikely that

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Speaker 6: you're going to have a catastrophic health issue. We hope

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Speaker 6: in the same way, that I bet you, Buck, have

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Speaker 6: taken out life insurance now that you have a baby.

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Speaker 6: A lot of dads and moms out there, when they

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Speaker 6: have kids, they go back and they look at their

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Speaker 6: overall expenses and they say, Okay, what if the worst

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Speaker 6: case scenario happens to me? Highly unlikely? The insurance companies

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Speaker 6: look at you. If you get a decent amount of

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Speaker 6: health insurance, they come out and take as much of

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Speaker 6: your blood as they can. They run your all your

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Speaker 6: vitals to try and make sure that there's not something

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Speaker 6: out there that is an issue. Most people only are

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Speaker 6: concerned about catastrophic issues, particularly when you're in your forties,

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Speaker 6: your thirties, your twenties, and that isn't actually that expensive

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Speaker 6: in the grand scheme of things. But the problem is,

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Speaker 6: again that's just a math equation. We don't have enough

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Speaker 6: young people to deal with what people in their sixties

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Speaker 6: and seventies are going to be costing for health care.

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Speaker 6: Here's another part of this, Buck that very few people

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Speaker 6: talk about. Probably fifty percent of the medical coverage that

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Speaker 6: our average people get in the United States is completely

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Speaker 6: unnecessary because doctors are afraid of being sued and so

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Speaker 6: they don't think that you need that MRI. They don't

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Speaker 6: think that you need that cat scan, but they go

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Speaker 6: ahead and check the box because if they get sued

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Speaker 6: and something really wrong, something is really wrong with you,

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Speaker 6: then they want to be able to say, oh, we

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Speaker 6: gave as much standard of care as we could, not

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Speaker 6: to mention the hospital makes money on it.

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Speaker 5: So I'm not even kidding.

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Speaker 6: I think we could eliminate fifty percent of all healthcare

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Speaker 6: one positive buck. I do think some of these glps,

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Speaker 6: which could drive down obesity, if they are widely distributed,

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Speaker 6: could could start to decline because obesity is probably the

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Speaker 6: leading cause.

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Speaker 2: Of no care right now.

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Speaker 1: And I'm not a doctor, but I am allowed to

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Speaker 1: have opinions on national policy when it comes to health.

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Speaker 1: If we took some of the tens of billions of

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Speaker 1: dollars wasted on nonsense in the healthcare apparatus and directly

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Speaker 1: subsidiz GLP medicaid because right now, I look, these companies,

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Speaker 1: they're going to make their money. They have a right

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Speaker 1: to make their money because they did their research all

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Speaker 1: that stuff. Right, we're capitalists, Okay, But if you want

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Speaker 1: to talk about government subsidies, subsidizing and this is by

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Speaker 1: the way, it straight for me. Elon Musk, he said

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Speaker 1: the same thing, widely subsidizing GLP one access to medication

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Speaker 1: for people, not making it free, but make me know

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Speaker 1: subsidized because it's crazy expensive.

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Speaker 2: Now I don't know that's right.

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Speaker 1: It's thousands of dollars a month or something if you

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Speaker 1: can't get your insurance to cover it, and insurance doesn't

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Speaker 1: want to cover it because it's so expensive. The healthcare

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Speaker 1: costs that this would actually bring down clay for individuals

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Speaker 1: and the whole nation. It would it would pay for

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Speaker 1: itself many many times over. That that's just the reality

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Speaker 1: of the way that obesity is two hundred billion dollars

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Speaker 1: a year of healthcare spending.

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Speaker 6: I'm cautiously optimistic that is if you want to have

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Speaker 6: a positive on healthcare, I am cautiously optimistic. These are

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Speaker 6: for by the way, what are the companies Jarrow we

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Speaker 6: Go The ozempic is the super famous one. This is

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Speaker 6: Eli Lilly, this is Pfizer, this is the big drug giants.

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Speaker 6: These drugs are changing people's lives all over the place.

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Speaker 6: And so if we can drive down obesity, we drive

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Speaker 6: down the need for as much medical coverage. To your point, buck,

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Speaker 6: we could potentially save hundreds of billions of dollars in healthcare.

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Speaker 6: It's a positive out there. If you need to we

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Speaker 6: have AI.

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Speaker 1: I know, we got we got to jump into break here,

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Speaker 1: clib We have AI doing all these things first. Now

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Speaker 1: it's amazing. I get there are cheeseburgers. Maybe this ozempic

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Speaker 1: and cheeseburgers go ahead, but there are cheeseburgers being delivered

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Speaker 1: to me by robot? Can AI handle this so that

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Speaker 1: I don't have to spend thirty minutes filling out paperwork

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Speaker 1: every time I go to every doctor, even when I

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Speaker 1: fill out stuff online before I go, Like, can't we

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Speaker 1: get to the point where the bureaucracy of medicine at

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Speaker 1: least is less of a total disaster.

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Speaker 6: Doctors want that too, because the amount of time that

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Speaker 6: they have to spend on paperwork to serve you'uriating. By

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Speaker 6: the way, it's all the insurance companies do this to

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Speaker 6: make it as a whole other conversation.

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Speaker 2: They actually do this on purpose.

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Speaker 6: Yesterday, Veterans Day, we dedicated a large portion of the

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Speaker 6: show to acknowledge all the incredible service members out there.

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Speaker 6: Comes as no surprise that many in this audience have

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Speaker 8: Clay Travis and Buck Sexton, Mike drops that never sounded

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Speaker 8: so good. Find them on the free iHeartRadio app or

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Speaker 8: wherever you get your podcasts.

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Speaker 1: Thanks for being here, everybody appreciate all of you. So

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Speaker 1: our friend Laura ingram Over at Fox News had a

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Speaker 1: sit down with President Trump and they got into a

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Speaker 1: whole range of issues, very good interviews, and there's a

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Speaker 1: couple of moments, a couple of takeaways from it that

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Speaker 1: I think it's important for us to have a little

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Speaker 1: discussion about. One of them is it gets to H

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Speaker 1: one B visas and the government, the administration approach to

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Speaker 1: the H one B visas, which this was a discussion

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Speaker 1: that led right around.

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Speaker 5: A year ago.

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Speaker 1: Actually, there was a pretty intense online exchange about this

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Speaker 1: involving Elon Musk, who went completely scored short in favor

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Speaker 1: of H one b's until people provided him with the

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Speaker 1: data the information to show that the H one B

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Speaker 1: visa program is actually really abused and it can be

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Speaker 1: very exploitative and it's unfair to the American people. It

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Speaker 1: needs dramatic reform. And Vivak Ramaswami also weighed in on

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Speaker 1: this one, and it was a moment where Mago was saying,

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Speaker 1: hold on a second, I don't think that we have

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Speaker 1: to celebrate other cultures over American culture. When it comes

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Speaker 1: to excellence, I think America is the culture of global excellence.

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Speaker 1: It was not a good moment for mister vick uh,

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Speaker 1: And there was a lot of back and forth, and

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Speaker 1: it was all over this H one B situation. Now

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Speaker 1: Lord Ingram pressed Trump on this uh, and here is

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Speaker 1: how the exchange went play cut one.

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Speaker 9: Does that mean the H one B visa thing will

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Speaker 9: not be a big priority for your administration, because if

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Speaker 9: you want to raise wages for American workers, you can't

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Speaker 9: flood the country with tens of thousands or hundreds.

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Speaker 10: Of Also, do have to bring in talent.

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Speaker 3: When we come to talent, you don't.

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Speaker 11: We don't have talent.

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Speaker 12: Now you don't have you don't have certain talents, and

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Speaker 12: you have to people have to learn. You can't take

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Speaker 12: people off an unemployed like an unemployment line and say

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Speaker 12: I'm going to put you into a factory.

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Speaker 10: We're going to make missiles or I'm going to put

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Speaker 10: how do.

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Speaker 2: We ever do it before?

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Speaker 10: Well, and I I'll give you an example.

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Speaker 12: In Georgia they raided because they wanted illegal immigrants. They

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Speaker 12: had people from from South Korea that need battery all

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Speaker 12: their lives. You know, making batteries are very complicated and

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Speaker 12: it's not an easy thing and a very dangerous a

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Speaker 12: lot of explosions, a lot of problems. They had like

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Speaker 12: five or six hundred people early stages to make batteries

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Speaker 12: and to teach people how to do it. Well, they

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Speaker 12: wanted them to get out of the country.

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Speaker 10: You're gonna need that lure.

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Speaker 12: I mean, I know you and I disagree on this.

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Speaker 12: You can't just say a country's coming in, going to

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Speaker 12: invest ten billion dollars to build a plant and going

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Speaker 12: to take people off an unemployment line who haven't worked

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Speaker 12: in five years, and they're going to start making missiles.

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Speaker 10: It doesn't okay down Well, this.

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Speaker 1: Is a very important discussion. But Clay, We're sorry, guys.

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Speaker 1: We we got to put a pin in it because

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Speaker 1: we were gonna have Robbie Starbick gone. We had a

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Speaker 1: little tech issue. But we can get him on now.

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Speaker 1: The phone line situation got squared away, so Robbie Starbuck

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Speaker 1: joins us. Now he's a conservative activist and many of

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Speaker 1: you're familiar with his work. Robbie, thanks for being here.

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Speaker 1: Tell us your story, man, because you wanted to come on,

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Speaker 1: and I think people to know about what's been going on.

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Speaker 13: Yeah, thanks trapping me on. Yeah, it's been wild. What

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Speaker 13: has happened? So essentially two years ago I found out

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Speaker 13: that Google's AI, which then was called Barred, was saying

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Speaker 13: all kinds of crazy stuff about me that just wasn't true,

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Speaker 13: from saying that I was a supporter of the KKKA

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Speaker 13: to even making arguments for the death penalty because I

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Speaker 13: guess some of my takes offend people on the left.

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Speaker 13: But then it got much worse when they introduced Gemini

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Speaker 13: and Gemma. Gemini and Gemma went so far as to

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Speaker 13: make accusations that I was accused of sexual assault, of

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Speaker 13: raping people, including people who are PG is possible for

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Speaker 13: the audience in case there's kids in the car. But

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Speaker 13: you know, it can't be stressed enough how hard we

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Speaker 13: tried to get Google to stop this.

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Speaker 3: I notified them starting two.

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Speaker 13: Years ago that this was going on, and my lawyers

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Speaker 13: at Dylan Law firm have been repeatedly letting them know

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Speaker 13: and sending season desist letters throughout this year, and Google

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Speaker 13: just continued to allow this stuff to go on. The

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Speaker 13: lies got so intense, so elaborate that you almost can't

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Speaker 13: believe it. And it came from prompts as simple as

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Speaker 13: tell me about Robbi Starbuck or somebody looking me up, right.

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Speaker 13: So this wasn't somebody saying, hey, invent the story. It

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Speaker 13: was as simple as tell me about this guy, right.

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Speaker 13: And it got so detailed that it invented fake court records,

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Speaker 13: fake police records, fake victims, fake therapy records. And it

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Speaker 13: would get so detailed that if you said, hey, what

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Speaker 13: are your sources for this, it would invent fake court

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Speaker 13: records and also fake media articles. Okay, so it would

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Speaker 13: say foxnews dot com slash Robbie Starbucks sexual assault allegations

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Speaker 13: or something along those lines. And it did that with

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Speaker 13: all of the major media outlets essentially and some of

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Speaker 13: the biggest figures in media. It even invented fake statements

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Speaker 13: from JD. Vans and President Trump about the situation. So

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Speaker 13: this is obviously incredibly dangerous and you have to wonder

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Speaker 13: why this is happening, right, because something is feeding this

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Speaker 13: information to the AI, and that we intend to find

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Speaker 13: out in discovery. But if you think about like the

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Speaker 13: long side of this, right, like look ten years down

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Speaker 13: the line, control of our country is decided by a

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Speaker 13: very small number of swing seats, and it's very easy

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Speaker 13: to envision a future where this type of you know,

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Speaker 13: malicious AI is deployed against every right wing candidate in

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Speaker 13: those swing seats, and you're able to shift five to

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Speaker 13: six percent of the vote based on telling wise about

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Speaker 13: the candidates to voters who reach out saying, hey, tell

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Speaker 13: me there's a difference between these two candidates.

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Speaker 6: This is a hugely important story, and I appreciate you

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Speaker 6: coming on. We're talking to Robbie Starbuck. You just heard

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Speaker 6: him lay out what happened with Google AI. There's a

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Speaker 6: lawsuit pending. But if they could do this to you,

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Speaker 6: and this is where I think this becomes so important

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Speaker 6: and you just hit on it. I mean, they could

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Speaker 6: do it to yes, Republican Senate candidates, Republican presidential candidates,

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Speaker 6: Republican congressional candidates. But I think a lot of people

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Speaker 6: out there also know that arguably at least those guys

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Speaker 6: can punch back. Why couldn't they do this to anyone?

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Speaker 6: In America where Google what happens when your name is

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Speaker 6: googled is probably the number one most important thing on

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Speaker 6: the Internet. I would say for most people in most professions,

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Speaker 6: this seems hugely important, not just for what happened to you,

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Speaker 6: but for the message that it's sending.

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Speaker 5: It could happen to anyone. What are you trying to

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Speaker 5: do to remedy.

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Speaker 13: It, Clay, I was hoping you'd bring that up, because

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Speaker 13: You're exactly right. The biggest problem is not that even

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Speaker 13: this is happening to me. Obviously, I'm concerned to damage

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Speaker 13: my reputation and all those things, but I'm thinking about

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Speaker 13: my kids, like this can happen to your son, your daughter,

440
00:24:27,640 --> 00:24:31,159
Speaker 13: your wife, your husband, and it could eliminate your ability

441
00:24:31,160 --> 00:24:32,640
Speaker 13: to get jobs. I mean, I want people to think

442
00:24:32,640 --> 00:24:34,920
Speaker 13: about this. How far AI is reaching into our lives.

443
00:24:34,960 --> 00:24:37,520
Speaker 13: It's already being used in reputation scoring for insurance, which,

444
00:24:37,560 --> 00:24:40,360
Speaker 13: by the way, crazy story. I was actually denied insurance

445
00:24:40,359 --> 00:24:42,520
Speaker 13: by I think it was five insurers this last year.

446
00:24:42,560 --> 00:24:43,720
Speaker 3: I've never been denied my life.

447
00:24:43,760 --> 00:24:46,120
Speaker 13: I'm an auto pay person, never been in a car

448
00:24:46,160 --> 00:24:48,240
Speaker 13: accident like there is no reason I should be denied

449
00:24:48,240 --> 00:24:51,120
Speaker 13: for insurance. It took until the sixth insure for us

450
00:24:51,160 --> 00:24:54,040
Speaker 13: to even get an offer from a major insurance company.

451
00:24:54,320 --> 00:24:56,760
Speaker 13: Every other one said risky. Wouldn't tell us why, and

452
00:24:57,160 --> 00:24:58,879
Speaker 13: we're going to have to figure out through discovery if

453
00:24:58,920 --> 00:25:01,240
Speaker 13: it was because it was pulling that information from AI.

454
00:25:01,359 --> 00:25:04,119
Speaker 13: But you can get debanked, you can, you know, have

455
00:25:04,400 --> 00:25:06,760
Speaker 13: what a job interviewers often do, They google the people

456
00:25:06,800 --> 00:25:09,120
Speaker 13: who are applying for jobs, right, And so you get

457
00:25:09,119 --> 00:25:14,760
Speaker 13: googled on Gemini and they tell this potential job that

458
00:25:14,840 --> 00:25:17,720
Speaker 13: you're actually accused of some heinous crime, you know, and

459
00:25:17,760 --> 00:25:19,679
Speaker 13: this could be as simple as getting back at you

460
00:25:19,720 --> 00:25:22,600
Speaker 13: for your politics that Google doesn't share, right. So it's

461
00:25:22,720 --> 00:25:24,680
Speaker 13: very easy to see where this can get very dangerous,

462
00:25:24,760 --> 00:25:27,040
Speaker 13: very fast. And so I think, you know, part of

463
00:25:27,040 --> 00:25:29,719
Speaker 13: the remedy here isn't just making me whole and you know,

464
00:25:29,720 --> 00:25:32,359
Speaker 13: fixing the situation. It's fixing the problem for good and

465
00:25:32,400 --> 00:25:35,960
Speaker 13: setting a standard and setting precedent that AI cannot harm humans.

466
00:25:36,000 --> 00:25:38,240
Speaker 13: That needs to be the first principle of AI, because

467
00:25:38,680 --> 00:25:42,280
Speaker 13: if you allow it on this level where it's deflammatory, right,

468
00:25:42,960 --> 00:25:45,199
Speaker 13: you're baking that in at the root level of a

469
00:25:45,240 --> 00:25:48,520
Speaker 13: tree that is either going to bear fruit that helps

470
00:25:48,600 --> 00:25:51,359
Speaker 13: humanity grow into abundance, or you're going to grow poison

471
00:25:51,440 --> 00:25:53,840
Speaker 13: fruit and it's going to be to the detriment of humanity.

472
00:25:54,400 --> 00:25:56,840
Speaker 13: What you bake in that root is very important. So

473
00:25:56,960 --> 00:25:59,399
Speaker 13: we're teaching AI now what is going to later be

474
00:25:59,520 --> 00:26:03,399
Speaker 13: very important, and it's deployment across all platforms and law enforcement, medicine,

475
00:26:03,440 --> 00:26:06,439
Speaker 13: everything else. And so that's why I feel like this

476
00:26:06,560 --> 00:26:09,200
Speaker 13: is a critically important fight. I'm thinking ten years out,

477
00:26:09,240 --> 00:26:11,959
Speaker 13: fifteen years out, how deeply this is going to affect

478
00:26:11,960 --> 00:26:13,480
Speaker 13: all of us and our kids.

479
00:26:14,359 --> 00:26:16,439
Speaker 1: What was it like when you were trying to get

480
00:26:16,720 --> 00:26:20,439
Speaker 1: answers in the early stage and then throughout from a

481
00:26:20,480 --> 00:26:25,879
Speaker 1: company like Google that is so vastly powerful, influential, connected

482
00:26:26,000 --> 00:26:29,680
Speaker 1: and resourced. Yet I can only imagine Robbie, like, if

483
00:26:29,680 --> 00:26:32,040
Speaker 1: this happened to me, I wouldn't even know who do

484
00:26:32,160 --> 00:26:35,520
Speaker 1: you call for email? Who can you get to actually

485
00:26:35,600 --> 00:26:37,600
Speaker 1: sit down or speak to you as a human to

486
00:26:37,680 --> 00:26:40,480
Speaker 1: try to address this. Feels like you were probably in

487
00:26:40,520 --> 00:26:43,840
Speaker 1: a very kafka esque like where do I go for justice?

488
00:26:43,880 --> 00:26:44,400
Speaker 5: Situation?

489
00:26:45,640 --> 00:26:48,040
Speaker 13: Yeah, it was very confusing, honestly, even with me, where

490
00:26:48,040 --> 00:26:49,479
Speaker 13: I'm able to get in front of the media. I'm

491
00:26:49,520 --> 00:26:51,399
Speaker 13: able to you know, pay lawyers to be able to

492
00:26:51,480 --> 00:26:55,600
Speaker 13: do this stuff. But back then, initially I raised the

493
00:26:55,600 --> 00:26:58,920
Speaker 13: red flag about this publicly, just adding the and direct

494
00:26:58,960 --> 00:27:01,560
Speaker 13: messaging people at Google like hey, can you get this fix?

495
00:27:02,640 --> 00:27:05,760
Speaker 13: And eventually a Google employee reached out to me, and

496
00:27:05,840 --> 00:27:07,560
Speaker 13: this lady seemed like she wanted to help. So I

497
00:27:07,640 --> 00:27:10,119
Speaker 13: laid out the whole story and send screenshots from the

498
00:27:10,119 --> 00:27:11,240
Speaker 13: people who had sent them to.

499
00:27:11,160 --> 00:27:14,320
Speaker 3: Me and that we were able to recreate these.

500
00:27:15,160 --> 00:27:17,560
Speaker 13: She says, okay, I want to help, and I checked

501
00:27:17,600 --> 00:27:19,679
Speaker 13: in over time, and it was about three months later

502
00:27:20,400 --> 00:27:22,760
Speaker 13: she lets me know, I'm so sorry I wasn't able

503
00:27:22,760 --> 00:27:24,320
Speaker 13: to fix this. And this is in a lawsuit. We

504
00:27:24,400 --> 00:27:27,440
Speaker 13: put this like, we put all the receipts. Okay, she said,

505
00:27:27,440 --> 00:27:28,959
Speaker 13: I'm so sorry I wasn't able to help. I am

506
00:27:29,000 --> 00:27:33,240
Speaker 13: resigning today and she resigned. And then things got much

507
00:27:33,240 --> 00:27:35,880
Speaker 13: worse with Gemma and Gemini. And here's the other thing

508
00:27:35,880 --> 00:27:38,520
Speaker 13: that's really scary, right, is that you'd think a company

509
00:27:38,560 --> 00:27:41,640
Speaker 13: like this could fix all this, right, Well, it took

510
00:27:41,800 --> 00:27:45,159
Speaker 13: until last week to finally get them to fix some

511
00:27:45,240 --> 00:27:47,560
Speaker 13: of this stuff in the actual app and the Google

512
00:27:47,640 --> 00:27:51,479
Speaker 13: Dot com website. But here's what's crazy. They're over one

513
00:27:51,520 --> 00:27:54,159
Speaker 13: hundred and fifty million wild downloads of Gemma. Gemma is

514
00:27:54,240 --> 00:27:56,919
Speaker 13: also used by developers beyond just being a chatbot to

515
00:27:57,000 --> 00:28:00,560
Speaker 13: help develop apps that power the future. Right and Gemini

516
00:28:00,680 --> 00:28:04,720
Speaker 13: same thing. Gemini has a bunch of uncountable digital downloads.

517
00:28:04,800 --> 00:28:06,880
Speaker 13: We don't even know what that number is. In many

518
00:28:06,960 --> 00:28:08,720
Speaker 13: of these, they can never be connected to the Internet

519
00:28:08,800 --> 00:28:10,840
Speaker 13: or won't be connected to the Internet, and cannot be

520
00:28:11,000 --> 00:28:14,119
Speaker 13: fixed remotely by Google. So these things, which will be

521
00:28:14,280 --> 00:28:16,840
Speaker 13: used in many different contexts over god knows how long,

522
00:28:17,280 --> 00:28:18,320
Speaker 13: can never be changed.

523
00:28:18,840 --> 00:28:20,800
Speaker 3: And that's pretty.

524
00:28:20,440 --> 00:28:22,200
Speaker 13: Wild, and I think that's something that also has to

525
00:28:22,280 --> 00:28:23,560
Speaker 13: change in this process.

526
00:28:24,359 --> 00:28:27,880
Speaker 6: You're in the process of going through discovery and finding

527
00:28:27,920 --> 00:28:30,840
Speaker 6: all this stuff out buck you mentioned how do you

528
00:28:30,840 --> 00:28:33,520
Speaker 6: even get a person to be able to address We

529
00:28:33,600 --> 00:28:38,360
Speaker 6: found out when we sold OutKick to Fox. Fox went

530
00:28:38,440 --> 00:28:40,360
Speaker 6: through the deep dive and they said, hey, you're not

531
00:28:40,520 --> 00:28:43,520
Speaker 6: indexed on Google. And I knew that was true because

532
00:28:43,560 --> 00:28:46,480
Speaker 6: we would break news on OutKick and then we would

533
00:28:46,520 --> 00:28:49,120
Speaker 6: never show up at the top of Google search results.

534
00:28:49,120 --> 00:28:51,400
Speaker 6: And we had gone through this four or five different

535
00:28:51,440 --> 00:28:54,080
Speaker 6: times with them, and they had said everything's fine. Somebody

536
00:28:54,120 --> 00:28:57,480
Speaker 6: had just taken us out of the Google search results, Robbie.

537
00:28:57,560 --> 00:29:00,600
Speaker 6: That had to be an individual, right, somebody just they

538
00:29:00,600 --> 00:29:04,360
Speaker 6: don't like me. They're one of you know, thousands and thousands,

539
00:29:04,440 --> 00:29:07,880
Speaker 6: tens of thousands of Google employees. They hide your site

540
00:29:07,920 --> 00:29:11,640
Speaker 6: over in the refuse so that you can't be found.

541
00:29:12,120 --> 00:29:14,640
Speaker 6: Do you feel like, and again, I know the discovery

542
00:29:14,720 --> 00:29:18,480
Speaker 6: is underway, do you feel like ultimately this is malice

543
00:29:18,640 --> 00:29:23,360
Speaker 6: driven by an individual or individuals inside of the company

544
00:29:23,400 --> 00:29:25,600
Speaker 6: to have set up or and I know I'm asking

545
00:29:25,640 --> 00:29:28,080
Speaker 6: you to speculate a little bit. Do you think this

546
00:29:28,240 --> 00:29:31,200
Speaker 6: is just Ai run a muck and for some reason

547
00:29:31,720 --> 00:29:35,520
Speaker 6: you happen to get dragged through the cycle like this.

548
00:29:36,600 --> 00:29:39,520
Speaker 13: So there's two different things here. One is, you know,

549
00:29:39,760 --> 00:29:42,800
Speaker 13: does it meet the legal standard of malice? No matter what, Absolutely,

550
00:29:42,800 --> 00:29:44,840
Speaker 13: it doesn't matter what the intent was. The fact was

551
00:29:44,920 --> 00:29:46,920
Speaker 13: they were notified so many times over the course of

552
00:29:46,960 --> 00:29:48,800
Speaker 13: two years to fix this, and they didn't fix it,

553
00:29:48,840 --> 00:29:52,680
Speaker 13: And they continually repeatedly told the same lies, inventing the

554
00:29:52,720 --> 00:29:56,320
Speaker 13: same situations with similar victims and evidence and all these

555
00:29:56,320 --> 00:30:00,600
Speaker 13: fake news articles and everything. That's growth negligence that equal malice.

556
00:30:00,720 --> 00:30:00,920
Speaker 10: Right.

557
00:30:01,680 --> 00:30:04,400
Speaker 13: But then there's my personal view, right, My personal view

558
00:30:04,560 --> 00:30:08,000
Speaker 13: is one where I can't I can't get myself to

559
00:30:08,040 --> 00:30:09,920
Speaker 13: a place where I think this is just AI run

560
00:30:09,960 --> 00:30:13,560
Speaker 13: a muck, right, because Google's response publicly has been to

561
00:30:13,640 --> 00:30:17,360
Speaker 13: essentially excuse this as hallucinations, is what they say, Well,

562
00:30:17,560 --> 00:30:20,280
Speaker 13: you deep dive into hallucinations. And I've talked to AI experts.

563
00:30:20,560 --> 00:30:25,040
Speaker 13: They're typically kind of disjointed and kind of like weird, right,

564
00:30:25,200 --> 00:30:28,000
Speaker 13: They're pulling things from different places and kind of mixing

565
00:30:28,080 --> 00:30:31,880
Speaker 13: them all together. There's too many similar threads and too

566
00:30:31,960 --> 00:30:35,680
Speaker 13: many commonalities in what it continually repeated about me for

567
00:30:35,760 --> 00:30:38,840
Speaker 13: it to fit a hallucination pattern, by my estimation from

568
00:30:38,840 --> 00:30:41,360
Speaker 13: talking to these experts. And I think lawyers agree with this,

569
00:30:42,360 --> 00:30:44,520
Speaker 13: and so when you look at it from that context,

570
00:30:44,520 --> 00:30:46,440
Speaker 13: it's very hard for me to get anywhere except for

571
00:30:46,480 --> 00:30:50,840
Speaker 13: thinking this was deliberately poisoned. So that's how I view it, right,

572
00:30:51,040 --> 00:30:54,480
Speaker 13: is it seems deliberate when you get as detailed as

573
00:30:54,480 --> 00:30:57,280
Speaker 13: these things did, and you repeatedly refuse to own up

574
00:30:57,320 --> 00:30:58,640
Speaker 13: to the fact that it's a lie, and this is

575
00:30:58,680 --> 00:31:01,520
Speaker 13: what's crazy, Like you can literally answer.

576
00:31:01,240 --> 00:31:02,000
Speaker 10: Back to this AI.

577
00:31:02,080 --> 00:31:05,320
Speaker 3: And we had people saying things like, hey, these news

578
00:31:05,320 --> 00:31:06,480
Speaker 3: stories are totally false.

579
00:31:06,560 --> 00:31:08,680
Speaker 13: Nothing like this ever happened, and it would double and

580
00:31:08,680 --> 00:31:11,480
Speaker 13: triple down that it did happen, And it went so

581
00:31:11,560 --> 00:31:14,640
Speaker 13: far on one occasion to actually create a fake article

582
00:31:14,640 --> 00:31:18,000
Speaker 13: in a real journalist's name when somebody pressed the AI

583
00:31:18,120 --> 00:31:19,920
Speaker 13: and saying the link didn't work to the story it

584
00:31:20,000 --> 00:31:22,920
Speaker 13: was sending them, so it literally invented a fake news story.

585
00:31:23,160 --> 00:31:24,320
Speaker 3: I want people to think about this.

586
00:31:24,480 --> 00:31:26,960
Speaker 13: Right, we're at this precipice where we have all these

587
00:31:27,000 --> 00:31:30,440
Speaker 13: image generators and voice generators and video generators, but they're

588
00:31:30,480 --> 00:31:33,640
Speaker 13: not all quite interconnected to the chatbots as well as

589
00:31:33,680 --> 00:31:36,000
Speaker 13: they will be a year or two from now, maybe

590
00:31:36,000 --> 00:31:36,600
Speaker 13: even less.

591
00:31:37,680 --> 00:31:39,560
Speaker 3: Had this continued to happen.

592
00:31:39,320 --> 00:31:41,560
Speaker 13: For another year or two, it would have literally been

593
00:31:41,560 --> 00:31:44,440
Speaker 13: inventing fake videos and audio of me doing these crimes.

594
00:31:44,640 --> 00:31:47,720
Speaker 13: I want people to think about that, because if you've

595
00:31:47,760 --> 00:31:50,480
Speaker 13: seen the AI outputs that we're seeing in video and audio,

596
00:31:50,520 --> 00:31:54,240
Speaker 13: there's currently a top charting music artist I think it's

597
00:31:54,240 --> 00:31:56,719
Speaker 13: called Breaking Russ that is AI right like, and you

598
00:31:56,760 --> 00:31:59,040
Speaker 13: can't distinguish it from a human being. It sounds like

599
00:31:59,080 --> 00:32:03,360
Speaker 13: a real human mus position. That is so incredibly dangerous,

600
00:32:03,360 --> 00:32:05,840
Speaker 13: And again, I imagine our sons and our daughters facing

601
00:32:05,880 --> 00:32:10,240
Speaker 13: accusations with fake AI videos and audio. It's very clear

602
00:32:10,280 --> 00:32:12,920
Speaker 13: when you think about that, that we need guardrails.

603
00:32:13,520 --> 00:32:16,120
Speaker 6: No doubt, Robbie, this is fantastic. If people want to

604
00:32:16,160 --> 00:32:18,480
Speaker 6: know more about this story, where would you tell them to?

605
00:32:18,520 --> 00:32:18,680
Speaker 10: Go?

606
00:32:19,640 --> 00:32:20,840
Speaker 3: Follow me on social media?

607
00:32:21,000 --> 00:32:24,400
Speaker 13: YouTube x at Robbie Starbuck Robbi Starbuck, or go to

608
00:32:24,480 --> 00:32:27,480
Speaker 13: robbistarbuck dot com if you want to read the actual lawsuit.

609
00:32:27,520 --> 00:32:29,240
Speaker 13: We've put it up there in case anybody wants.

610
00:32:29,080 --> 00:32:32,160
Speaker 3: To read the full thing. Even lawyers who don't like me, people.

611
00:32:32,000 --> 00:32:35,080
Speaker 13: Who hate me, have said, like dang, they have absolutely

612
00:32:35,080 --> 00:32:37,120
Speaker 13: an incredible case. So I think it's a seminal case

613
00:32:37,200 --> 00:32:40,000
Speaker 13: in the fight for fairness and getting rid of bias

614
00:32:40,000 --> 00:32:40,360
Speaker 13: and AI.

615
00:32:41,400 --> 00:32:44,400
Speaker 6: Appreciate the time. It is an important story. Keep us updated.

616
00:32:44,440 --> 00:32:46,320
Speaker 6: We want to continue to share this story as we

617
00:32:46,360 --> 00:32:46,880
Speaker 6: move along.

618
00:32:47,640 --> 00:32:49,360
Speaker 13: Thank you, gentlemen for shinming a light on it.

619
00:32:50,320 --> 00:32:53,680
Speaker 6: That's Robbie Starbuck. All right, Buck, I'm going to try

620
00:32:53,680 --> 00:32:55,960
Speaker 6: to make sure that we win. We've had a couple

621
00:32:55,960 --> 00:32:59,000
Speaker 6: of different losing weeks here in a row on Price Picks.

622
00:32:59,160 --> 00:33:03,200
Speaker 6: So tomorrow Thursday Night Football returns. This is simple. There's

623
00:33:03,320 --> 00:33:07,400
Speaker 6: only three people involved. Drake may more than one and

624
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Speaker 6: a half touchdown passes, bow Nicks more than one half

625
00:33:11,920 --> 00:33:15,520
Speaker 6: touchdown pass and Sam Darnald more than one and a

626
00:33:15,600 --> 00:33:20,000
Speaker 6: half touchdown passes. If all three of those hit three

627
00:33:20,040 --> 00:33:24,840
Speaker 6: to one, five dollars turns into fifteen, twenty turns into sixty.

628
00:33:25,000 --> 00:33:28,080
Speaker 6: One hundred turns into three hundred. You can play along

629
00:33:28,080 --> 00:33:31,760
Speaker 6: with us at prizepicks dot com Code Clay. You can

630
00:33:31,800 --> 00:33:35,680
Speaker 6: play in California, Texas, Georgia. If you're feeling left out,

631
00:33:35,920 --> 00:33:38,440
Speaker 6: that is prizpicks dot com code Clay.

632
00:33:38,920 --> 00:33:40,560
Speaker 5: Drake May more than one and a.

633
00:33:40,560 --> 00:33:44,080
Speaker 6: Half touchdown passes, Sam Darnald more than one and a half,

634
00:33:44,120 --> 00:33:46,760
Speaker 6: and then bow Nicks more than one half. If all

635
00:33:46,840 --> 00:33:50,840
Speaker 6: three of those quarterbacks hit three to one, that's pricepicks

636
00:33:50,880 --> 00:33:54,920
Speaker 6: dot com code Clay for fifty dollars in your account

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Speaker 6: when you play five dollars prize picks dot com code Clay.

638
00:34:00,720 --> 00:34:03,320
Speaker 5: Do you know him as conservative radio hosts?

639
00:34:03,600 --> 00:34:06,280
Speaker 3: Now, just get to know them as guys.

640
00:34:06,200 --> 00:34:09,840
Speaker 8: On this Sunday hang podcast with Clay and Buck. Find

641
00:34:09,880 --> 00:34:12,800
Speaker 8: it in their podcast feed on the iHeartRadio app or

642
00:34:12,840 --> 00:34:14,759
Speaker 8: wherever you get your podcasts.

643
00:34:15,600 --> 00:34:17,120
Speaker 2: Welcome back into Clay and Buck.

644
00:34:17,520 --> 00:34:21,239
Speaker 1: We're joined by my longtime friend and friend of the

645
00:34:21,280 --> 00:34:25,960
Speaker 1: show here and my guide for all things Taiwan. Recently

646
00:34:26,080 --> 00:34:30,799
Speaker 1: Stephen Yates. He is a senior fellow at the Heritage Foundation.

647
00:34:31,200 --> 00:34:35,040
Speaker 1: He's a former senior Administration official and national security under

648
00:34:35,080 --> 00:34:37,799
Speaker 1: the Bush administration. And as I said before, he's a

649
00:34:37,800 --> 00:34:40,320
Speaker 1: fluent Mandarin speaker, and I saw him in action in Taiwan.

650
00:34:40,360 --> 00:34:42,080
Speaker 2: It was very impressive. Steven.

651
00:34:42,239 --> 00:34:44,480
Speaker 1: I know you're still recovering from some crazy jet lag.

652
00:34:44,520 --> 00:34:45,719
Speaker 1: Thanks for making the time for us.

653
00:34:46,320 --> 00:34:48,640
Speaker 14: Well, Bucket's wonderful to join, and thanks very much for

654
00:34:48,680 --> 00:34:49,360
Speaker 14: the kind intro.

655
00:34:50,320 --> 00:34:52,920
Speaker 1: Please give us a census to you just went. I

656
00:34:53,000 --> 00:34:56,280
Speaker 1: mean it was quite a world tour. You were traveling

657
00:34:56,360 --> 00:35:00,719
Speaker 1: with the press pool of the Secretary of War. Now

658
00:35:00,760 --> 00:35:03,360
Speaker 1: I have to keep reminding myself Secretor of War. Hegset

659
00:35:03,560 --> 00:35:05,400
Speaker 1: but President Trump was over there in Asia.

660
00:35:05,600 --> 00:35:07,680
Speaker 2: Where did you go? What were the meetings, what were.

661
00:35:07,600 --> 00:35:10,879
Speaker 1: The big policy takeaways and your most important observations?

662
00:35:12,160 --> 00:35:12,879
Speaker 10: Well, thank you, Buck.

663
00:35:12,960 --> 00:35:15,399
Speaker 14: There's a few things that really stand out. I mean,

664
00:35:15,520 --> 00:35:19,520
Speaker 14: really the first thing was we did go to Japan

665
00:35:19,920 --> 00:35:26,320
Speaker 14: Malaysia for the Southeast Asian Osion. The Defense ministerial meetings.

666
00:35:26,600 --> 00:35:29,000
Speaker 10: That allowed for bilateral.

667
00:35:28,360 --> 00:35:33,600
Speaker 14: Meetings with the nine countries of asion, but also with India, Australia,

668
00:35:33,680 --> 00:35:37,720
Speaker 14: Japan and Korea there and then we went up from

669
00:35:37,719 --> 00:35:42,960
Speaker 14: Malaysia through Vietnam to Korea and then from Korea all

670
00:35:42,960 --> 00:35:45,000
Speaker 14: the way home. I'll just remind the audience this is

671
00:35:45,040 --> 00:35:48,400
Speaker 14: on the doomsday plane from which nuclear retaliation can be

672
00:35:48,480 --> 00:35:52,000
Speaker 14: called after the apocalypse begins. Kind of a fun ride,

673
00:35:52,040 --> 00:35:54,839
Speaker 14: but that plane I think is older than the Secretary,

674
00:35:54,920 --> 00:35:58,600
Speaker 14: and I pray that the Secretary gets new planes soon.

675
00:35:58,840 --> 00:35:59,920
Speaker 10: Just as an Asia.

676
00:36:00,520 --> 00:36:02,799
Speaker 14: But that fourteen hour flight home to Andrews is quite

677
00:36:02,800 --> 00:36:06,400
Speaker 14: an adventure, going through the aerial refueling, some.

678
00:36:06,320 --> 00:36:07,680
Speaker 10: Cool helicopter rides.

679
00:36:08,040 --> 00:36:12,960
Speaker 14: Very fun stuff in some sense, but serious policy. I

680
00:36:13,000 --> 00:36:15,840
Speaker 14: think the first number one it put the lie to

681
00:36:15,880 --> 00:36:19,440
Speaker 14: the notion that somehow the Trump administration is isolationist. This

682
00:36:19,600 --> 00:36:26,400
Speaker 14: is opposite of isolationism. The President had a very widespread

683
00:36:26,480 --> 00:36:31,400
Speaker 14: tour through the Indo Pacific region, major meetings and decisions

684
00:36:31,440 --> 00:36:35,239
Speaker 14: made in that region. The first stop with Secretary of

685
00:36:35,239 --> 00:36:38,239
Speaker 14: Hegseth was Japan. The new prime minister there is a

686
00:36:38,440 --> 00:36:43,520
Speaker 14: gang busters iron Lady of East Asia loves America, loves Japan,

687
00:36:44,080 --> 00:36:48,080
Speaker 14: is good for the alliance. She paid deep respect for

688
00:36:48,160 --> 00:36:50,800
Speaker 14: our troops, The President, the Prime Minister were there, Secretary

689
00:36:50,800 --> 00:36:53,160
Speaker 14: of Hegseth were there. I think the troops loved that.

690
00:36:53,239 --> 00:36:55,360
Speaker 14: I thought it was a really wonderful message to the alliance.

691
00:36:55,520 --> 00:36:59,640
Speaker 14: So first, the Trump administration is engaging the world. It's

692
00:36:59,680 --> 00:37:02,440
Speaker 14: just differently and the establishment doesn't know what to do

693
00:37:02,480 --> 00:37:07,040
Speaker 14: about that. But it's not isolationism, and alliances are largely

694
00:37:07,600 --> 00:37:11,319
Speaker 14: happy and improving. A lot of the defense spending increases

695
00:37:11,920 --> 00:37:14,879
Speaker 14: are happening. They need to move further faster, but it's

696
00:37:15,000 --> 00:37:19,640
Speaker 14: directionally correct, and I think that was attested to when

697
00:37:19,680 --> 00:37:23,319
Speaker 14: the Defense minister from the Philippines just spoke so positively

698
00:37:23,360 --> 00:37:27,840
Speaker 14: and effusively about America's engagement with them as they're challenged

699
00:37:27,840 --> 00:37:30,959
Speaker 14: by the communist Chinese. And just the final point, Buck,

700
00:37:30,960 --> 00:37:34,359
Speaker 14: I'd say, just watching Secretary of Pe Hexsas in action.

701
00:37:35,160 --> 00:37:38,040
Speaker 14: You and I have known him from our younger days

702
00:37:38,239 --> 00:37:41,040
Speaker 14: and commentary. It was great to see him in action

703
00:37:41,160 --> 00:37:45,719
Speaker 14: in this regard. I mean, he spoke clearly, decisively and

704
00:37:45,840 --> 00:37:50,520
Speaker 14: without wavering about the China challenge to the United States

705
00:37:50,560 --> 00:37:52,440
Speaker 14: but also the region, and he did it with the

706
00:37:52,560 --> 00:37:53,359
Speaker 14: Chinese in the room.

707
00:37:53,680 --> 00:37:54,759
Speaker 10: And the message was the same.

708
00:37:54,760 --> 00:37:57,799
Speaker 14: Whether it's public private, no matter who was there, and

709
00:37:57,840 --> 00:38:02,160
Speaker 14: I just thought that kind of consistency, clarity, conviction to purpose.

710
00:38:02,200 --> 00:38:04,120
Speaker 14: It was good to see and I would expect no

711
00:38:04,239 --> 00:38:04,879
Speaker 14: less out of peat.

712
00:38:06,160 --> 00:38:08,680
Speaker 6: Steve Buck just came back from Taiwan. He's talked a

713
00:38:08,680 --> 00:38:10,960
Speaker 6: lot about it. If you were telling.

714
00:38:11,000 --> 00:38:14,200
Speaker 1: Steve was my shirpa in Taiwan, so he was there

715
00:38:14,239 --> 00:38:17,760
Speaker 1: every step of the way, he was translating in the meetings, if.

716
00:38:17,560 --> 00:38:21,680
Speaker 6: You were telling us out there, hey, this is what

717
00:38:21,800 --> 00:38:24,560
Speaker 6: I would be concerned about. This is what you should

718
00:38:24,600 --> 00:38:28,719
Speaker 6: be concerned about. I'm presuming Taiwan and what happens with

719
00:38:28,880 --> 00:38:31,680
Speaker 6: China would probably be number one on your list?

720
00:38:33,080 --> 00:38:33,920
Speaker 5: Is that true?

721
00:38:34,719 --> 00:38:37,920
Speaker 6: And how much higher is that on your list of

722
00:38:38,000 --> 00:38:42,719
Speaker 6: concern than other things? How should we calibrate concerns in

723
00:38:42,840 --> 00:38:46,879
Speaker 6: Trump two point zero in that respect, Oh.

724
00:38:46,800 --> 00:38:49,960
Speaker 14: Clay, I think there's a couple of things first, and

725
00:38:50,000 --> 00:38:52,160
Speaker 14: Buck has had to listen to me say this.

726
00:38:52,080 --> 00:38:52,640
Speaker 10: Over and over.

727
00:38:53,400 --> 00:38:56,120
Speaker 14: But basically, what happens in Taiwan is not a Taiwan

728
00:38:56,239 --> 00:39:01,400
Speaker 14: only situation. Japan has a fundamental national interest in the

729
00:39:01,400 --> 00:39:04,520
Speaker 14: status quo being maintained, and that Taiwan continue to be

730
00:39:05,000 --> 00:39:07,640
Speaker 14: a free and democratic territory, and that China is not

731
00:39:07,680 --> 00:39:11,080
Speaker 14: able to dominate those air and sea lanes around it

732
00:39:11,120 --> 00:39:14,600
Speaker 14: through which fifty percent of the world's container traffic go.

733
00:39:15,080 --> 00:39:18,200
Speaker 14: So if you imagine an economy that is rocked by

734
00:39:18,239 --> 00:39:21,400
Speaker 14: fifty percent of those containers carrying all your cheap goods

735
00:39:22,160 --> 00:39:24,640
Speaker 14: to your doorstep by way of Amazon or elsewhere going

736
00:39:24,680 --> 00:39:27,520
Speaker 14: could put for a time, then this matters, and it

737
00:39:27,560 --> 00:39:30,640
Speaker 14: matters for more than just the transactional notion of are

738
00:39:30,640 --> 00:39:33,640
Speaker 14: we buying things? But Taiwan is also part of the

739
00:39:33,719 --> 00:39:37,120
Speaker 14: value chain. They have major companies that are helping us

740
00:39:37,280 --> 00:39:40,960
Speaker 14: have a shot at winning the ai race and finding

741
00:39:41,000 --> 00:39:45,799
Speaker 14: ways to adapt their military capabilities. They also buy assistance

742
00:39:45,840 --> 00:39:48,759
Speaker 14: from US, not ask for assistance be given to them

743
00:39:48,880 --> 00:39:51,200
Speaker 14: from US, and so in many ways there are a

744
00:39:51,280 --> 00:39:54,600
Speaker 14: value add But the most important thing is to understand

745
00:39:55,200 --> 00:39:57,840
Speaker 14: that it's that first island chain that goes from Japan

746
00:39:58,000 --> 00:40:02,120
Speaker 14: through Taiwan, through the Philippines down into Southeast Asia that

747
00:40:02,200 --> 00:40:05,400
Speaker 14: have common cause. And if they're all doing more to

748
00:40:05,440 --> 00:40:09,400
Speaker 14: protect themselves, they're all buying more from America to defend themselves,

749
00:40:09,719 --> 00:40:13,360
Speaker 14: and we're keeping our partnerships vital within economically and otherwise.

750
00:40:13,760 --> 00:40:16,320
Speaker 14: That's a pretty profound deterrent and it makes the chances

751
00:40:16,320 --> 00:40:17,439
Speaker 14: of war go way down.

752
00:40:18,560 --> 00:40:20,840
Speaker 1: Steven Yates with us now a senior fellow at the

753
00:40:20,840 --> 00:40:24,680
Speaker 1: Heritage Foundation, and just got back from travel with the

754
00:40:24,719 --> 00:40:31,240
Speaker 1: Secretary of War all over Asia and on the China front. Stephen,

755
00:40:31,280 --> 00:40:34,319
Speaker 1: there was actually a pretty big announcement today. This came

756
00:40:34,360 --> 00:40:39,960
Speaker 1: from FBI Director Cash Patel speaking about China and their

757
00:40:40,080 --> 00:40:42,520
Speaker 1: role in the fentanyl crisis. Let's play this clip and

758
00:40:42,520 --> 00:40:44,160
Speaker 1: then Steve and I wanted to have you react to it.

759
00:40:44,360 --> 00:40:45,120
Speaker 1: Play the audio.

760
00:40:45,520 --> 00:40:48,359
Speaker 15: While we the Interagency, the Department of Justice have been

761
00:40:48,400 --> 00:40:51,600
Speaker 15: fighting hard to seize and stop drug traffickers, we must

762
00:40:51,640 --> 00:40:56,040
Speaker 15: attack fentanyl precursors, the ingredients necessary to make this lethal drug.

763
00:40:56,280 --> 00:40:58,840
Speaker 15: That was the sole purpose of my trip to China

764
00:40:58,920 --> 00:41:02,200
Speaker 15: to eliminate these pre cursors and if successful, we would

765
00:41:02,239 --> 00:41:06,800
Speaker 15: suffocate the drug trafficking organization's ability to manufacture fentanyl.

766
00:41:06,320 --> 00:41:07,440
Speaker 3: In places like Mexico.

767
00:41:07,600 --> 00:41:10,040
Speaker 15: This was the first time an FBI director has been

768
00:41:10,080 --> 00:41:13,200
Speaker 15: to China in over a decade and received the audience

769
00:41:13,280 --> 00:41:16,240
Speaker 15: with his counterpart to address this matter directly and again,

770
00:41:16,280 --> 00:41:19,000
Speaker 15: thanks to President Trump's directing gaves with President Shei, the

771
00:41:19,040 --> 00:41:22,400
Speaker 15: government of China committed fully to my engagement there on

772
00:41:22,440 --> 00:41:25,640
Speaker 15: the ground in Beijing at a level never seen before.

773
00:41:25,920 --> 00:41:29,319
Speaker 15: While at Ministry of Public Security headquarters, I met with

774
00:41:29,360 --> 00:41:33,319
Speaker 15: my counterpart at MPs where that Chinese government agreed on

775
00:41:33,400 --> 00:41:36,320
Speaker 15: a plan to stop fentanyl precursors.

776
00:41:36,440 --> 00:41:37,080
Speaker 3: What does that mean?

777
00:41:37,120 --> 00:41:40,160
Speaker 15: The People's Republic of China has fully designated and listed

778
00:41:40,239 --> 00:41:45,400
Speaker 15: all thirteen precursors utilized to make fentanyl effective immediately. Essentially,

779
00:41:45,719 --> 00:41:50,040
Speaker 15: President Trump has shut off the pipeline that creates fentanyl

780
00:41:50,120 --> 00:41:52,440
Speaker 15: that kills tens of thousands of Americans.

781
00:41:53,600 --> 00:41:55,720
Speaker 1: Steven wanted you to react to this big news today

782
00:41:55,800 --> 00:41:57,840
Speaker 1: from the White House from the FBI director.

783
00:41:58,840 --> 00:42:02,440
Speaker 14: Well, first and Foremoe, I just I'm very, very grateful

784
00:42:02,600 --> 00:42:04,640
Speaker 14: for President Trump and the team making this.

785
00:42:04,760 --> 00:42:07,040
Speaker 10: A very real priority.

786
00:42:08,040 --> 00:42:11,040
Speaker 14: As you know, Buck, my daughter was killed by fensanel

787
00:42:11,040 --> 00:42:14,360
Speaker 14: poisoning two years ago, and so I'm not unbiased in

788
00:42:14,440 --> 00:42:17,239
Speaker 14: trying to assess who's to blame and what needs to

789
00:42:17,280 --> 00:42:20,920
Speaker 14: be done about this, and so I think what Cash

790
00:42:21,080 --> 00:42:24,799
Speaker 14: is saying is incredibly important. I would also just add

791
00:42:24,920 --> 00:42:27,680
Speaker 14: that this is ten years too late by China. I

792
00:42:27,719 --> 00:42:31,279
Speaker 14: have no forgiveness for that regime in the slow and

793
00:42:31,360 --> 00:42:34,920
Speaker 14: methodical murder of hundreds of thousands of Americans, and I

794
00:42:34,960 --> 00:42:38,200
Speaker 14: don't think we should have to negotiate people to stop

795
00:42:38,280 --> 00:42:42,240
Speaker 14: murdering our eighteen to thirty five year old demographic in America.

796
00:42:42,360 --> 00:42:45,120
Speaker 14: That said, we live in a world of bad people,

797
00:42:45,320 --> 00:42:48,120
Speaker 14: and the President and his team are serious about trying

798
00:42:48,120 --> 00:42:51,120
Speaker 14: to enforce this, I would like to see them go

799
00:42:51,200 --> 00:42:54,200
Speaker 14: further and designate these illicit precursors as a weapon of

800
00:42:54,200 --> 00:42:58,319
Speaker 14: mass destruction. So, just like the cartels are terrorist organizations,

801
00:42:58,320 --> 00:43:01,839
Speaker 14: if you engage in this business, you're at war, and

802
00:43:01,960 --> 00:43:04,000
Speaker 14: I would be happy to see you get lit up

803
00:43:04,000 --> 00:43:05,040
Speaker 14: the way those boats would.

804
00:43:04,840 --> 00:43:06,120
Speaker 10: Be get lit up with the Caribbean.

805
00:43:08,000 --> 00:43:11,840
Speaker 6: Last question for you, and we appreciate that you sharing

806
00:43:11,880 --> 00:43:14,520
Speaker 6: that story about your daughter, and I know there's many

807
00:43:14,560 --> 00:43:17,680
Speaker 6: people out there that have had similar experiences because unfortunately,

808
00:43:17,760 --> 00:43:20,759
Speaker 6: we've been losing one hundred thousand people a year to

809
00:43:20,960 --> 00:43:25,319
Speaker 6: fentanyl poisoning. What do you think President Trump would do

810
00:43:25,920 --> 00:43:30,759
Speaker 6: if China invaded Taiwan and how would you assess the

811
00:43:30,840 --> 00:43:34,360
Speaker 6: probability or likelihood of something like that happening in the

812
00:43:34,400 --> 00:43:36,360
Speaker 6: next three years of his term in office.

813
00:43:37,800 --> 00:43:40,759
Speaker 14: Well, I certainly hope that President Trump sees it as

814
00:43:41,000 --> 00:43:46,040
Speaker 14: a potential catastrophic development, not because of just the well

815
00:43:46,040 --> 00:43:48,960
Speaker 14: being of the people of Taiwan, but it would lead

816
00:43:49,080 --> 00:43:53,279
Speaker 14: to such a severe market reaction that it would be

817
00:43:53,360 --> 00:43:56,960
Speaker 14: cataclysmic for our own gross domestic product for a sustained

818
00:43:57,000 --> 00:43:57,840
Speaker 14: period of time.

819
00:43:58,800 --> 00:44:00,279
Speaker 10: It would call it to.

820
00:44:00,280 --> 00:44:04,840
Speaker 14: Question alliances if we didn't rally to find a way

821
00:44:04,960 --> 00:44:08,319
Speaker 14: to push back against this kind of encroachment, and it

822
00:44:08,320 --> 00:44:11,920
Speaker 14: would be crippling in this race for ai and other

823
00:44:12,000 --> 00:44:15,040
Speaker 14: things that are unfortunately a very very important part of

824
00:44:15,560 --> 00:44:20,000
Speaker 14: our future economic and social way of life. So I

825
00:44:20,200 --> 00:44:23,120
Speaker 14: hope that he's improving de terrens. I think that's what

826
00:44:23,160 --> 00:44:25,920
Speaker 14: Secretary of Hegseth was all about. I think the reform

827
00:44:26,000 --> 00:44:29,680
Speaker 14: of the manufacturing supply chain and making sure that those

828
00:44:29,719 --> 00:44:33,800
Speaker 14: are safe and clean supply chains are necessary down payment

829
00:44:33,800 --> 00:44:39,160
Speaker 14: on getting that right. Having new allies or new leaders

830
00:44:39,160 --> 00:44:41,160
Speaker 14: among our allies that are serious about it, like.

831
00:44:41,080 --> 00:44:43,359
Speaker 10: In Japan, all of this is to the good.

832
00:44:43,440 --> 00:44:46,720
Speaker 14: So I'm hoping that directionally we've got the right team

833
00:44:47,000 --> 00:44:47,960
Speaker 14: and we're starting to.

834
00:44:47,880 --> 00:44:49,040
Speaker 10: Do the right policies.

835
00:44:49,320 --> 00:44:52,200
Speaker 14: And if there's rationality left engaging they would say, you

836
00:44:52,239 --> 00:44:53,959
Speaker 14: know what, this would be a bad data test.

837
00:44:54,080 --> 00:44:58,279
Speaker 1: Uncle Sam steven Yates of the Heritage Foundation. Steven, we'll

838
00:44:58,280 --> 00:45:00,480
Speaker 1: have you back again soon. A lot of important things

839
00:45:00,520 --> 00:45:02,600
Speaker 1: happening in the area of the world that you know best.

840
00:45:02,640 --> 00:45:03,640
Speaker 1: Thanks for being with us.

841
00:45:04,239 --> 00:45:05,480
Speaker 10: Thank you Buck, thank you play.

842
00:45:06,800 --> 00:45:07,240
Speaker 5: For sure.

843
00:45:07,400 --> 00:45:10,600
Speaker 6: Look, speaking of areas of the world that are always

844
00:45:10,600 --> 00:45:16,080
Speaker 6: cultural flashpoints, Unfortunately, anti Semitisms on the rise, targeting Jewish businesses, schools,

845
00:45:16,160 --> 00:45:20,960
Speaker 6: even synagogues. Some communities are hiring armed security to protect themselves.

846
00:45:21,000 --> 00:45:24,320
Speaker 6: Sad that two years after October seventh, we find ourselves

847
00:45:24,320 --> 00:45:26,880
Speaker 6: facing this degree of hate. If you want to support

848
00:45:26,960 --> 00:45:31,040
Speaker 6: your Jewish brothers and sisters, stand with the International Fellowship

849
00:45:31,080 --> 00:45:34,560
Speaker 6: of Christians and Jews. I've seen jay as on the

850
00:45:34,560 --> 00:45:38,399
Speaker 6: front lines, providing real help where it's needed most. They're

851
00:45:38,400 --> 00:45:41,800
Speaker 6: giving food and shelter to Jewish families that feel under threat,

852
00:45:42,160 --> 00:45:45,440
Speaker 6: and they're helping survivors of hate rebuild their lives. And

853
00:45:45,480 --> 00:45:48,600
Speaker 6: they don't just respond to crisis, they work every day

854
00:45:48,960 --> 00:45:51,440
Speaker 6: to help prevent it. Your gift of forty five dollars

855
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Speaker 6: will help support their life saving work. I've seen it

856
00:45:54,360 --> 00:45:58,080
Speaker 6: for myself by helping provide food, shelter, and much more.

857
00:45:58,360 --> 00:46:01,759
Speaker 6: Supporting the IFCJ is a spiritual stand you can take

858
00:46:01,920 --> 00:46:02,400
Speaker 6: as well.

859
00:46:02,440 --> 00:46:03,800
Speaker 5: So please call.

860
00:46:03,680 --> 00:46:07,120
Speaker 6: Eight eight eight four eight eight IFCJ. That's eight eight

861
00:46:07,200 --> 00:46:10,279
Speaker 6: eight four eight eight four three two five. You can

862
00:46:10,320 --> 00:46:14,360
Speaker 6: also go online to IFCJ dot org. Every dollar helps,

863
00:46:14,480 --> 00:46:18,799
Speaker 6: don't wait be the difference. Visit IFCJ dot org. You

864
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Speaker 6: can also call eight eight eight four eight eight IFCJ.

865
00:46:23,360 --> 00:46:23,600
Speaker 3: Now.

866
00:46:25,840 --> 00:46:29,280
Speaker 8: Keep up with the biggest political comeback in world history

867
00:46:29,320 --> 00:46:33,200
Speaker 8: on the teen forty seven podcast playin Buck Highlight Trump

868
00:46:33,239 --> 00:46:34,360
Speaker 8: free plays from.

869
00:46:34,120 --> 00:46:36,040
Speaker 5: The week Sunday's at noon Eastern.

870
00:46:36,160 --> 00:46:39,239
Speaker 8: Find it on the iHeartRadio app or wherever you get

871
00:46:39,280 --> 00:46:40,400
Speaker 8: your podcasts.

872
00:46:41,000 --> 00:46:44,600
Speaker 6: Welcome back in Clay Travis buck Sexton Show. We may

873
00:46:44,640 --> 00:46:49,759
Speaker 6: have stepped into a coin loving buzzsaw here Buck. It

874
00:46:49,920 --> 00:46:52,280
Speaker 6: is uh, the comments are gonna be very, very funny.

875
00:46:52,320 --> 00:46:55,320
Speaker 6: I think on this the poll you can go vote

876
00:46:55,320 --> 00:47:00,480
Speaker 6: in it. Thousands of you are already weighing in, and

877
00:47:00,960 --> 00:47:05,120
Speaker 6: the general consensus is it's close to fifty to fifty

878
00:47:05,280 --> 00:47:08,680
Speaker 6: on whether we should be eliminating all coins. The reason

879
00:47:08,680 --> 00:47:13,200
Speaker 6: why I brought that up was because today is reportedly

880
00:47:13,880 --> 00:47:16,480
Speaker 6: the last day I saw this on Fox News that

881
00:47:16,520 --> 00:47:20,080
Speaker 6: they are going to be producing the penny. It definitely

882
00:47:20,160 --> 00:47:23,280
Speaker 6: costs more to produce the penny than the penny is worth,

883
00:47:23,800 --> 00:47:27,480
Speaker 6: and so in the future, the smallest coin would now

884
00:47:27,560 --> 00:47:31,000
Speaker 6: be the nickel. And I think going forward, you're going

885
00:47:31,040 --> 00:47:34,319
Speaker 6: to see more and more arguments about, hey, do we

886
00:47:34,400 --> 00:47:38,319
Speaker 6: still need to continue to produce coins. There would still

887
00:47:38,360 --> 00:47:42,399
Speaker 6: be coins in circulation, probably for the next hundred years.

888
00:47:42,440 --> 00:47:44,160
Speaker 6: I mean, I don't know how long it would go on.

889
00:47:44,719 --> 00:47:47,000
Speaker 6: Here's a fun stat for you, Buck before we dive

890
00:47:47,040 --> 00:47:52,560
Speaker 6: into phenomenal messenger for the Democrats, Jasmine Crockett. What percentage

891
00:47:52,600 --> 00:47:58,840
Speaker 6: of money that exists in the world today actually physically exists?

892
00:48:00,560 --> 00:48:05,560
Speaker 6: What percentage of big money fifteen? Good guess, I'm told

893
00:48:05,560 --> 00:48:08,360
Speaker 6: it's ten. Okay, I was I was in the RELs,

894
00:48:08,400 --> 00:48:09,920
Speaker 6: I was in the rail But yeah, I think that

895
00:48:10,000 --> 00:48:12,719
Speaker 6: will blow a lot of your minds out there. In

896
00:48:12,760 --> 00:48:15,319
Speaker 6: other words, if you went to the bank and you

897
00:48:15,440 --> 00:48:18,680
Speaker 6: have X dollars, and everybody went to the bank and

898
00:48:18,719 --> 00:48:20,640
Speaker 6: they have X dollars, I mean this is sort of

899
00:48:20,680 --> 00:48:25,720
Speaker 6: a bank run. The physical notes that represent the vast

900
00:48:25,760 --> 00:48:29,560
Speaker 6: majority of the wealth in the world, it doesn't exist.

901
00:48:29,880 --> 00:48:33,919
Speaker 6: It's just numbers on a computer screen. Only about ten

902
00:48:34,040 --> 00:48:38,760
Speaker 6: percent of the dollars in America, of the euros in America,

903
00:48:38,880 --> 00:48:44,640
Speaker 6: of all of the different currencies physically exist. That's something

904
00:48:44,719 --> 00:48:47,960
Speaker 6: kind of interesting. And the younger you are, young people,

905
00:48:48,400 --> 00:48:49,840
Speaker 6: and I saw like an old guy every time I

906
00:48:49,920 --> 00:48:51,799
Speaker 6: say that young people, and I'm going to be an

907
00:48:51,800 --> 00:48:55,080
Speaker 6: old guy. They don't even carry money, I mean like

908
00:48:55,120 --> 00:48:57,799
Speaker 6: the actual physical carrying of money.

909
00:48:57,880 --> 00:48:58,600
Speaker 5: They have their.

910
00:48:58,440 --> 00:49:01,600
Speaker 6: iPhone, they pay with Apple Pay, they have credit cards,

911
00:49:02,040 --> 00:49:06,960
Speaker 6: they don't physically carry around cash at all. They have Venmo,

912
00:49:07,239 --> 00:49:09,520
Speaker 6: they have Zel, they have all these different ways to

913
00:49:09,640 --> 00:49:13,440
Speaker 6: share expenses when they're buying, you know, going out for

914
00:49:13,520 --> 00:49:16,160
Speaker 6: dinners or whatever else, concert tickets.

915
00:49:17,160 --> 00:49:21,719
Speaker 5: It's kind of wild. We're moving towards a cashlest society already,

916
00:49:22,520 --> 00:49:24,800
Speaker 5: and I think we're moving there in really rapid fashion.

917
00:49:24,960 --> 00:49:26,960
Speaker 5: Much to producer Greg Chagrin.

918
00:49:27,920 --> 00:49:30,320
Speaker 1: Well, yes, and I do agree that there are concerns

919
00:49:30,360 --> 00:49:35,880
Speaker 1: about not having the privacy and the ability to just

920
00:49:36,600 --> 00:49:39,560
Speaker 1: have currency that the government is not tracking and aware

921
00:49:39,600 --> 00:49:43,360
Speaker 1: of at all times. But I don't know, man, pennies

922
00:49:44,160 --> 00:49:46,360
Speaker 1: not a fan of pennies quarters.

923
00:49:46,400 --> 00:49:48,520
Speaker 2: I'm a little more open to a little more.

924
00:49:48,680 --> 00:49:51,320
Speaker 6: You ever work retail, Did you ever work in a

925
00:49:51,360 --> 00:49:54,160
Speaker 6: place where you had to accept cash, make change, like

926
00:49:54,640 --> 00:49:58,160
Speaker 6: process transactions. I've done a lot of retail in my life.

927
00:49:59,160 --> 00:50:02,080
Speaker 1: Tell everybody Abercrombie and Fitch were they only were they

928
00:50:02,120 --> 00:50:05,000
Speaker 1: only hired good looking people when played that, it loves

929
00:50:05,040 --> 00:50:09,400
Speaker 1: to remind us all. My wife too a very shy

930
00:50:09,440 --> 00:50:11,120
Speaker 1: about it. I'm like, I'm like, so, you were hired

931
00:50:11,120 --> 00:50:13,400
Speaker 1: at the Florida Abercrombie or you know, Fitch or like

932
00:50:13,440 --> 00:50:15,719
Speaker 1: the Orlando area or whatever because you were cute, right, Like,

933
00:50:15,800 --> 00:50:16,200
Speaker 1: just say it.

934
00:50:16,239 --> 00:50:18,040
Speaker 2: She's like, no, I was a hard worker. I'm like,

935
00:50:18,200 --> 00:50:19,399
Speaker 2: right right.

936
00:50:20,520 --> 00:50:24,239
Speaker 6: It was a the retail jobs that I had. I

937
00:50:24,280 --> 00:50:27,720
Speaker 6: worked at American Eagle, now famous because of the Sydney

938
00:50:27,719 --> 00:50:28,560
Speaker 6: Sweeney jeans.

939
00:50:28,560 --> 00:50:29,200
Speaker 5: For years.

940
00:50:29,600 --> 00:50:32,160
Speaker 6: I worked at a company called Media Play in the

941
00:50:32,200 --> 00:50:35,640
Speaker 6: book section. The idea there was you could buy CDs,

942
00:50:35,680 --> 00:50:37,880
Speaker 6: you could buy books. Some of you will remember the

943
00:50:37,920 --> 00:50:41,520
Speaker 6: concept big box retailer. And then I worked at Abercrombie

944
00:50:41,560 --> 00:50:46,040
Speaker 6: and Fitch Pentagon City Mall in Washington, d C. While

945
00:50:46,080 --> 00:50:48,360
Speaker 6: I was in college. One of the best jobs I

946
00:50:48,400 --> 00:50:50,759
Speaker 6: ever had buck pretty girls walk in. You got an

947
00:50:50,760 --> 00:50:53,719
Speaker 6: immediate excuse to talk to pretty girls. It's like, I mean,

948
00:50:53,760 --> 00:50:54,880
Speaker 6: that's basically can tell.

949
00:50:54,719 --> 00:50:55,120
Speaker 10: You the truth.

950
00:50:55,200 --> 00:50:55,439
Speaker 2: Man.

951
00:50:55,560 --> 00:50:59,040
Speaker 1: I got caught up in the world and this was

952
00:50:59,080 --> 00:51:02,759
Speaker 1: really common in the or the world of the unpaid

953
00:51:02,880 --> 00:51:07,480
Speaker 1: corporate internship I had, and in retrospect I got scammed.

954
00:51:08,080 --> 00:51:11,280
Speaker 1: I think it would have been way better now some

955
00:51:11,280 --> 00:51:13,800
Speaker 1: some places I got like I worked at the Washington

956
00:51:13,840 --> 00:51:17,400
Speaker 1: Institute for Neary's Policy, and they because they actually had

957
00:51:17,440 --> 00:51:20,840
Speaker 1: interns do real work, they paid you like you were paid.

958
00:51:20,880 --> 00:51:22,520
Speaker 1: It was you know, with maybe three or four hundred

959
00:51:22,560 --> 00:51:24,080
Speaker 1: bucks a week or something at the time. But it

960
00:51:24,160 --> 00:51:26,520
Speaker 1: was like at the time living in DC with three

961
00:51:26,600 --> 00:51:30,520
Speaker 1: roommates over the summer. That was real money. But I

962
00:51:31,120 --> 00:51:33,640
Speaker 1: remember other places where I worked and I did. I

963
00:51:33,640 --> 00:51:35,840
Speaker 1: worked at the Council on Foreign Relations as an intern.

964
00:51:36,200 --> 00:51:40,759
Speaker 1: They didn't pay, and that place has a huge see

965
00:51:40,719 --> 00:51:44,200
Speaker 1: if people like CUFAR, that's the globalist and the illuminati. Yeah,

966
00:51:44,239 --> 00:51:46,160
Speaker 1: I was an intern there, trust me, No one cared,

967
00:51:46,239 --> 00:51:50,160
Speaker 1: no one remembered me. They didn't pay, and people were

968
00:51:51,160 --> 00:51:56,600
Speaker 1: There was someone who got a an actual recommendation from

969
00:51:56,640 --> 00:51:58,600
Speaker 1: I think it was the Crown Prince of Jordan or

970
00:51:58,640 --> 00:52:01,920
Speaker 1: something for one of those internships. Clay people would go

971
00:52:02,000 --> 00:52:05,640
Speaker 1: all out for. These didn't matter, these unpaid internships. It

972
00:52:05,680 --> 00:52:07,640
Speaker 1: doesn't people. I was like, Oh, it'll transmit a new

973
00:52:07,640 --> 00:52:09,840
Speaker 1: a job. What I'm saying is I think your experience

974
00:52:09,840 --> 00:52:14,120
Speaker 1: of actually working in commerce and capitalism a much better

975
00:52:14,160 --> 00:52:18,600
Speaker 1: play for people, and it establishes something of an economic libido.

976
00:52:18,760 --> 00:52:22,719
Speaker 1: You're like, oh, work harder, work longer, more money. An

977
00:52:22,719 --> 00:52:24,480
Speaker 1: internship where you're not paid just so you can put

978
00:52:24,480 --> 00:52:27,920
Speaker 1: it on your resume, you're actually incentivized to do as

979
00:52:27,920 --> 00:52:29,919
Speaker 1: little as possible and get out of there as fast

980
00:52:29,960 --> 00:52:30,600
Speaker 1: as possible.

981
00:52:31,160 --> 00:52:35,640
Speaker 6: And I think they're diminishing the number of unpaid internships

982
00:52:35,680 --> 00:52:36,280
Speaker 6: in general.

983
00:52:36,640 --> 00:52:38,839
Speaker 1: Oh no, it's there are rules against it now. There

984
00:52:38,840 --> 00:52:41,560
Speaker 1: are rules against it now because it became so exploitative.

985
00:52:41,800 --> 00:52:43,880
Speaker 1: Like I did want at CBS even News, but I

986
00:52:43,880 --> 00:52:46,880
Speaker 1: got school credit for it, so that seemed like a fair.

987
00:52:47,200 --> 00:52:50,720
Speaker 1: But I did summer internships, a number of them, starting

988
00:52:50,719 --> 00:52:52,480
Speaker 1: when I was even in high school, where I didn't

989
00:52:52,480 --> 00:52:54,239
Speaker 1: get any I didn't get paid, and I was just

990
00:52:54,280 --> 00:52:57,279
Speaker 1: basically fetching coffee and making xeroxes so I could put

991
00:52:57,280 --> 00:52:59,200
Speaker 1: on my resume that I this was a thing in

992
00:52:59,200 --> 00:53:02,640
Speaker 1: the ninety Those of you who are elder millennials, not

993
00:53:02,760 --> 00:53:04,839
Speaker 1: you old gen X people. Gen X people, you got

994
00:53:04,920 --> 00:53:08,680
Speaker 1: to worry about your creaking joints and bones. The elder millennials,

995
00:53:09,000 --> 00:53:11,600
Speaker 1: You know what I'm talking about you. We all got

996
00:53:11,640 --> 00:53:14,800
Speaker 1: scammed man, late nineties. It was like Clay, I worked

997
00:53:14,840 --> 00:53:18,480
Speaker 1: at a a at a music label for a summer

998
00:53:19,160 --> 00:53:21,120
Speaker 1: for a couple of months, and it was a complete

999
00:53:21,160 --> 00:53:24,200
Speaker 1: waste of my time. This is unexpected. You worked at

1000
00:53:24,200 --> 00:53:27,120
Speaker 1: a music label for like a month. Yeah, like an internship,

1001
00:53:27,320 --> 00:53:29,839
Speaker 1: total waste of time. They're like the biggest I think

1002
00:53:29,880 --> 00:53:31,680
Speaker 1: it was supposed to be all summer. I legitimly told

1003
00:53:31,719 --> 00:53:33,600
Speaker 1: my parents, like, I'm gonna go play tennis and said,

1004
00:53:33,600 --> 00:53:34,479
Speaker 1: this is a waste of time.

1005
00:53:34,680 --> 00:53:39,560
Speaker 5: So yeah, uh, what was the music label? Death Row?

1006
00:53:40,360 --> 00:53:41,319
Speaker 2: No, no, no, no, it wasn't.

1007
00:53:41,360 --> 00:53:44,000
Speaker 1: It was actually a music publishing company, so it was

1008
00:53:44,080 --> 00:53:45,759
Speaker 1: kind of like did A and R and it was

1009
00:53:45,800 --> 00:53:47,759
Speaker 1: owned publishing, right. Clay was the most boring intern I

1010
00:53:47,800 --> 00:53:50,080
Speaker 1: don't even remember. I was like seventeen. It's the worst

1011
00:53:50,080 --> 00:53:52,439
Speaker 1: thing I ever worst, the worst way I ever spent

1012
00:53:52,480 --> 00:53:56,440
Speaker 1: a summer in college. When I was at GW undergrad,

1013
00:53:56,600 --> 00:53:59,759
Speaker 1: I went and worked on Capitol Hill as part of

1014
00:54:00,080 --> 00:54:03,560
Speaker 1: being a student in DC, and that was actually somewhat

1015
00:54:03,680 --> 00:54:07,200
Speaker 1: useful and interesting. But yeah, there's a ton of those

1016
00:54:07,239 --> 00:54:09,200
Speaker 1: that don't have any impact at all. I was just

1017
00:54:09,239 --> 00:54:12,960
Speaker 1: thinking nowadays, when you work retail, and a lot of

1018
00:54:13,000 --> 00:54:16,200
Speaker 1: you out there who work in uh who work in

1019
00:54:16,239 --> 00:54:19,920
Speaker 1: restaurants or whatever else. I don't even remember the last

1020
00:54:19,920 --> 00:54:24,319
Speaker 1: time I saw someone pay in a restaurant with cash.

1021
00:54:24,440 --> 00:54:27,040
Speaker 1: You know, they have all these mobile devices now where

1022
00:54:27,080 --> 00:54:29,240
Speaker 1: they can come right to your right to your table

1023
00:54:29,320 --> 00:54:31,960
Speaker 1: and like take all your money. I don't even remember.

1024
00:54:32,400 --> 00:54:34,399
Speaker 1: A lot of places won't even take cash now.

1025
00:54:34,640 --> 00:54:35,120
Speaker 5: We used to.

1026
00:54:35,200 --> 00:54:37,120
Speaker 6: The reason I was bringing it up buck is at

1027
00:54:37,160 --> 00:54:39,600
Speaker 6: the end of the day at American Eagle, and it

1028
00:54:39,600 --> 00:54:40,800
Speaker 6: doesn't seem very safe.

1029
00:54:40,800 --> 00:54:41,040
Speaker 10: Now.

1030
00:54:41,400 --> 00:54:44,400
Speaker 6: We would have a big bag of cash that we

1031
00:54:44,440 --> 00:54:48,080
Speaker 6: would deposit into the bank, that we would clear out

1032
00:54:48,120 --> 00:54:50,759
Speaker 6: the cash registers with. And I was thinking about it

1033
00:54:50,760 --> 00:54:52,640
Speaker 6: the other day because if I tried to explain that

1034
00:54:52,719 --> 00:54:55,279
Speaker 6: to my kids, they wouldn't even understand. And it was

1035
00:54:55,320 --> 00:54:58,400
Speaker 6: filled with coins, and it was filled with cash, and

1036
00:54:58,440 --> 00:55:00,360
Speaker 6: we had to tally it up and we had to

1037
00:55:00,400 --> 00:55:02,040
Speaker 6: take it and we had to deposit it at the

1038
00:55:02,120 --> 00:55:05,120
Speaker 6: end of the day. There's never any security. I remember thinking,

1039
00:55:05,160 --> 00:55:07,239
Speaker 6: this doesn't make a lot of sense. There's thousands and

1040
00:55:07,320 --> 00:55:09,920
Speaker 6: thousands of dollars, But that was what we had to

1041
00:55:10,000 --> 00:55:14,040
Speaker 6: do because the physical encapsulation of money was such a thing.

1042
00:55:14,400 --> 00:55:16,879
Speaker 6: And remember in Breaking Bad when he starts to make

1043
00:55:16,960 --> 00:55:20,200
Speaker 6: real amounts of money, great television show, and he doesn't

1044
00:55:20,239 --> 00:55:22,440
Speaker 6: even know what to do with all the cash. This

1045
00:55:22,520 --> 00:55:24,920
Speaker 6: is one of the challenges of the drug trade in general.

1046
00:55:25,239 --> 00:55:27,920
Speaker 6: It's all a cash business. It takes a lot of

1047
00:55:27,960 --> 00:55:31,640
Speaker 6: space when you have actual, the physical manifestation of all

1048
00:55:31,680 --> 00:55:32,200
Speaker 6: that wealth.

1049
00:55:33,000 --> 00:55:35,799
Speaker 1: Somebody can tell me what the This was a famous

1050
00:55:35,840 --> 00:55:40,080
Speaker 1: problem that Pablo Escobar, the world's drug kingpin back in

1051
00:55:40,080 --> 00:55:43,600
Speaker 1: the eighties and nineties and really the original public enemy

1052
00:55:43,640 --> 00:55:46,640
Speaker 1: number one of the US government in the pre War

1053
00:55:46,719 --> 00:55:50,680
Speaker 1: on Terror terror era, he had something that they would

1054
00:55:50,680 --> 00:55:53,759
Speaker 1: call spoilage clay, which was they had so that they

1055
00:55:53,800 --> 00:55:55,920
Speaker 1: could not find a place to put all the cash

1056
00:55:55,960 --> 00:55:58,920
Speaker 1: that they were making by selling cocaine in the United States,

1057
00:55:59,320 --> 00:56:02,920
Speaker 1: and so they would store it underground in palettes and

1058
00:56:03,120 --> 00:56:06,840
Speaker 1: rats would eat it. And there were some crazy figure

1059
00:56:07,239 --> 00:56:09,640
Speaker 1: tens of millions of dollars a year. They thought they

1060
00:56:09,640 --> 00:56:14,440
Speaker 1: were losing to rats eating their cash, because that's how

1061
00:56:14,520 --> 00:56:17,000
Speaker 1: much cash they were making in the illegal drug trade.

1062
00:56:17,400 --> 00:56:19,440
Speaker 1: One thing that used to exist in New York It

1063
00:56:19,480 --> 00:56:22,440
Speaker 1: doesn't really anymore, but there were a number of restaurants

1064
00:56:22,480 --> 00:56:24,520
Speaker 1: that were famous play for being cash only.

1065
00:56:24,760 --> 00:56:27,960
Speaker 5: Yeah, and it was basically.

1066
00:56:27,400 --> 00:56:30,080
Speaker 1: Because it was like they weren't really reporting all the

1067
00:56:30,080 --> 00:56:31,319
Speaker 1: money they were making, and.

1068
00:56:31,520 --> 00:56:33,760
Speaker 2: That was the idea issue.

1069
00:56:33,960 --> 00:56:38,400
Speaker 1: Yes, but the irs got way better at calculating the

1070
00:56:38,920 --> 00:56:41,080
Speaker 1: you know, because they can base it off your inventory,

1071
00:56:41,320 --> 00:56:44,560
Speaker 1: So what you buy, What are you buying monthly? Oh, really,

1072
00:56:44,560 --> 00:56:47,000
Speaker 1: you're only making that much, but you're buying this much.

1073
00:56:47,360 --> 00:56:50,480
Speaker 1: So they have ways of figuring this stuff out. Extants

1074
00:56:50,560 --> 00:56:54,400
Speaker 1: that was huge. They would avoid reporting the actual dollars

1075
00:56:54,440 --> 00:56:57,279
Speaker 1: that came into the building. And now obviously you can't

1076
00:56:57,280 --> 00:56:58,680
Speaker 1: do that with credit card and a lot of you

1077
00:56:58,719 --> 00:57:01,600
Speaker 1: out there who get tips, it's way easier to track

1078
00:57:01,680 --> 00:57:03,920
Speaker 1: your tips now when a credit card era than it

1079
00:57:03,920 --> 00:57:05,920
Speaker 1: ever was when you just got cash handed to you.

1080
00:57:06,800 --> 00:57:08,920
Speaker 6: Yeah, that's a good point. That's a very all right,

1081
00:57:09,000 --> 00:57:11,000
Speaker 6: let's play this. We'll react to it a little bit

1082
00:57:11,040 --> 00:57:13,040
Speaker 6: as we go forward. A lot of discussion about what's

1083
00:57:13,080 --> 00:57:15,640
Speaker 6: the future of the Democrat Party. You've got spaan Berger

1084
00:57:16,120 --> 00:57:21,520
Speaker 6: and and the governor in New Jersey who just won

1085
00:57:21,720 --> 00:57:25,120
Speaker 6: Mickey Cheryl I think was her name, and they're arguing, hey,

1086
00:57:25,160 --> 00:57:25,920
Speaker 6: we're moderates.

1087
00:57:25,960 --> 00:57:28,360
Speaker 5: We know that's a lie, but they're arguing that's the path.

1088
00:57:28,480 --> 00:57:31,880
Speaker 6: Mom Donnie is clearly on the far left of the

1089
00:57:31,920 --> 00:57:35,080
Speaker 6: Democrat Party. And then there is an argument out there

1090
00:57:35,360 --> 00:57:40,000
Speaker 6: and it is interesting that that the future of the

1091
00:57:40,040 --> 00:57:43,760
Speaker 6: Democrat Party should actually be defined by Jasmine Crockett, who

1092
00:57:44,560 --> 00:57:47,640
Speaker 6: Charlemanne the God. You sat with him at a recent

1093
00:57:48,480 --> 00:57:51,680
Speaker 6: fundraising event. We know, we had dinner. We had dinner

1094
00:57:51,720 --> 00:57:54,640
Speaker 6: in can with a group as part of our iHeart

1095
00:57:55,120 --> 00:57:57,720
Speaker 6: festival there and it was it was a great He's

1096
00:57:57,720 --> 00:58:01,080
Speaker 6: a great company, very very very good time. Okay, so

1097
00:58:01,280 --> 00:58:03,960
Speaker 6: you probably agree with him as I do that. Yes,

1098
00:58:04,040 --> 00:58:07,720
Speaker 6: the Democrats are underutilizing Jasmin Crockett. She really is a

1099
00:58:07,720 --> 00:58:11,040
Speaker 6: phenomenal messenger for their worldview. They should use her more.

1100
00:58:11,240 --> 00:58:16,240
Speaker 11: Listen, Dadmin Crockett is actually what the Democrats should be

1101
00:58:16,720 --> 00:58:20,480
Speaker 11: leaning into, like because she is a phenomenal messenger and

1102
00:58:20,520 --> 00:58:22,480
Speaker 11: some people just got it, like some people just have

1103
00:58:22,560 --> 00:58:28,400
Speaker 11: a different annoying on them. She's always on message about something.

1104
00:58:28,440 --> 00:58:30,880
Speaker 11: I was watching her yesterday and she was like, Yo,

1105
00:58:31,160 --> 00:58:34,720
Speaker 11: Donald Trump is racist and this whole administration is racist,

1106
00:58:34,720 --> 00:58:37,160
Speaker 11: and it starts at the top and she just broke

1107
00:58:37,200 --> 00:58:40,720
Speaker 11: down example after example, and it was so powerful and

1108
00:58:40,760 --> 00:58:44,560
Speaker 11: so provocative, and you understood what the root of her

1109
00:58:44,640 --> 00:58:47,280
Speaker 11: issue was and she got you by just saying Donald

1110
00:58:47,320 --> 00:58:49,520
Speaker 11: Trump is racist and this administration is racist, and let

1111
00:58:49,560 --> 00:58:51,200
Speaker 11: me tell you why, and then you get into all

1112
00:58:51,240 --> 00:58:53,520
Speaker 11: of the issues. I'm like, Yo, you need somebody like

1113
00:58:53,560 --> 00:58:56,960
Speaker 11: Davin Crockett. She is the most effective messenger that the

1114
00:58:57,000 --> 00:58:59,480
Speaker 11: Democratic Party has right now, and they need to be

1115
00:58:59,560 --> 00:59:01,240
Speaker 11: using her as a trojan horse.

1116
00:59:03,080 --> 00:59:05,919
Speaker 6: Using her as a trojan horse is an interesting analogy there,

1117
00:59:05,920 --> 00:59:09,600
Speaker 6: because the trojan horse didn't actually work out that well.

1118
00:59:10,000 --> 00:59:15,560
Speaker 6: Uh necessarily, Uh depends depends on what worked that look

1119
00:59:15,720 --> 00:59:19,920
Speaker 6: that you're looking at it from. Yes, But but the

1120
00:59:20,040 --> 00:59:24,920
Speaker 6: concept of Chasmin Crockett as a phenomenal messenger buck, I

1121
00:59:24,960 --> 00:59:28,920
Speaker 6: think is one of the worst takes if I were

1122
00:59:28,960 --> 00:59:31,320
Speaker 6: actually telling Democrats what to do.

1123
00:59:31,760 --> 00:59:32,560
Speaker 2: This is where you and I.

1124
00:59:32,800 --> 00:59:33,240
Speaker 10: She is.

1125
00:59:33,920 --> 00:59:34,040
Speaker 14: Uh.

1126
00:59:35,480 --> 00:59:39,400
Speaker 1: I went from being a unknown congresswoman to being talked

1127
00:59:39,400 --> 00:59:42,200
Speaker 1: about right here on one of the biggest, if not

1128
00:59:42,240 --> 00:59:44,920
Speaker 1: the biggest radio programs in the country, Clay. She has

1129
00:59:45,000 --> 00:59:47,560
Speaker 1: met hurt and it's purely a function of brand you know,

1130
00:59:47,600 --> 00:59:51,760
Speaker 1: the branding and communication approach that she has. You know,

1131
00:59:51,800 --> 00:59:54,400
Speaker 1: people were all making fun of AOC the bartender. She's

1132
00:59:54,400 --> 00:59:56,600
Speaker 1: one of the biggest names in Democrat politics. Now, so

1133
00:59:56,880 --> 00:59:59,600
Speaker 1: I we're we're in a We're in a new era.

1134
00:59:59,720 --> 01:00:01,720
Speaker 1: Now you have to be look at mom, Donnie, you

1135
01:00:01,800 --> 01:00:04,480
Speaker 1: have to be social media savvy. You have to understand

1136
01:00:04,920 --> 01:00:07,320
Speaker 1: how to go viral and to people who say, oh,

1137
01:00:07,400 --> 01:00:10,720
Speaker 1: but the crazy things, Yeah, but they just look look

1138
01:00:10,720 --> 01:00:12,720
Speaker 1: what they did with Biden. They'll just lie about the

1139
01:00:12,760 --> 01:00:16,400
Speaker 1: crazy things they've said or done. Or even Kamala Kama's like, yeah,

1140
01:00:16,440 --> 01:00:19,440
Speaker 1: we need transsurgery for foreigners to coming to the country

1141
01:00:19,480 --> 01:00:22,520
Speaker 1: illegally funded by taxpayers, and then when it was time,

1142
01:00:22,600 --> 01:00:25,120
Speaker 1: she's like, yeah, no, we don't need to do that.

1143
01:00:25,120 --> 01:00:25,840
Speaker 2: That's all they'll do.

1144
01:00:26,520 --> 01:00:30,680
Speaker 6: This is I don't disagree on this. It's great for her,

1145
01:00:31,640 --> 01:00:35,880
Speaker 6: it's awful I think for the Democrat Party. But to

1146
01:00:36,000 --> 01:00:37,720
Speaker 6: your point, Buck, you and I were talking about this

1147
01:00:37,800 --> 01:00:41,280
Speaker 6: off air, there's almost no consequence for crazy anymore.

1148
01:00:41,920 --> 01:00:43,440
Speaker 5: We aren't crazy.

1149
01:00:43,160 --> 01:00:46,680
Speaker 6: Enough, Like our opinions are so rational and reasonable that

1150
01:00:47,120 --> 01:00:51,040
Speaker 6: you actually are incentivized now to be totally bonkers in everything.

1151
01:00:51,120 --> 01:00:54,240
Speaker 6: I want to run a psychology experiment where we just

1152
01:00:54,320 --> 01:00:55,680
Speaker 6: do a podcast play.

1153
01:00:56,320 --> 01:01:00,520
Speaker 1: We launch a new podcast where I just say therasiest

1154
01:01:00,520 --> 01:01:03,920
Speaker 1: stuff possible that I know will get the most attention possible,

1155
01:01:04,080 --> 01:01:06,960
Speaker 1: and then we give all the proceeds to charity, because.

1156
01:01:06,760 --> 01:01:09,280
Speaker 2: I think by the way, I think i'd be funding

1157
01:01:09,760 --> 01:01:11,680
Speaker 2: wings for children's hospitals.

1158
01:01:11,720 --> 01:01:15,000
Speaker 6: I think we would be Cash is the raasiest thing

1159
01:01:15,080 --> 01:01:18,520
Speaker 6: that we could argue tongue in cheek for the audience,

1160
01:01:18,560 --> 01:01:20,120
Speaker 6: but it would go megaviral.

1161
01:01:20,440 --> 01:01:22,480
Speaker 5: And it's actually a great idea.

1162
01:01:23,280 --> 01:01:24,680
Speaker 1: But the only problem is, I don't know if it

1163
01:01:24,720 --> 01:01:26,080
Speaker 1: would be as crazy as some of the things that

1164
01:01:26,120 --> 01:01:28,000
Speaker 1: I'm hearing these days, So I don't know.

1165
01:01:28,520 --> 01:01:28,960
Speaker 2: I don't know.

1166
01:01:29,080 --> 01:01:31,720
Speaker 1: There's some interesting stuff online these days, just putting that

1167
01:01:31,800 --> 01:01:34,400
Speaker 1: out there. Some of us have to stay within the

1168
01:01:34,440 --> 01:01:37,160
Speaker 1: facts in reality that we live in. But it would

1169
01:01:37,160 --> 01:01:39,600
Speaker 1: be nice to be able to just get as crazy

1170
01:01:39,640 --> 01:01:40,160
Speaker 1: as we want.

1171
01:01:40,240 --> 01:01:41,560
Speaker 2: It'd be kind of a fun experiment.

1172
01:01:42,280 --> 01:01:44,439
Speaker 6: No matter how safe you think your neighborhood is, there's

1173
01:01:44,480 --> 01:01:46,280
Speaker 6: always the chance you'll be a victim of a home

1174
01:01:46,320 --> 01:01:49,320
Speaker 6: intrusion or a burglary. It's happening more often than we'd

1175
01:01:49,360 --> 01:01:52,280
Speaker 6: like to think, twice every minute nationwide. If you want

1176
01:01:52,320 --> 01:01:55,280
Speaker 6: to have the right protection tools for your family, you

1177
01:01:55,360 --> 01:01:56,360
Speaker 6: need to check out Saber.

1178
01:01:57,120 --> 01:01:57,600
Speaker 2: I was just.

1179
01:01:57,560 --> 01:01:59,880
Speaker 6: Mentioning how when I was a young guy and we

1180
01:02:00,080 --> 01:02:02,600
Speaker 6: used to work in retail. We would leave at the

1181
01:02:02,680 --> 01:02:04,720
Speaker 6: end of the night. We would leave the shopping mall

1182
01:02:04,760 --> 01:02:08,120
Speaker 6: where I worked with a big bag full of cash.

1183
01:02:08,280 --> 01:02:11,560
Speaker 6: It doesn't seem very safe. Nobody ever really trained us

1184
01:02:11,600 --> 01:02:14,040
Speaker 6: in this, and we had to go deposit all of

1185
01:02:14,080 --> 01:02:17,520
Speaker 6: that cash, and everybody was always looking over our shoulders.

1186
01:02:17,560 --> 01:02:19,880
Speaker 6: Are we going to get robbed? Should we be concerned

1187
01:02:19,920 --> 01:02:22,720
Speaker 6: about the danger here? Sometimes there's a lot of money

1188
01:02:22,760 --> 01:02:24,800
Speaker 6: that we were depositing at the end of the day.

1189
01:02:25,240 --> 01:02:27,840
Speaker 6: And I remember back in the day, one of the

1190
01:02:27,840 --> 01:02:31,200
Speaker 6: girls would pull out her pepper spray and look, it

1191
01:02:31,240 --> 01:02:34,560
Speaker 6: wasn't lethal. We were teenage kids, but the pepper spray

1192
01:02:34,640 --> 01:02:37,200
Speaker 6: made us feel a bit safer. And if you have

1193
01:02:37,360 --> 01:02:40,080
Speaker 6: a daughter, maybe she's working in retail like I did

1194
01:02:40,120 --> 01:02:42,520
Speaker 6: back in the day, Maybe she's off to college. Maybe

1195
01:02:42,560 --> 01:02:45,320
Speaker 6: you've got young teenage boys. I had pepper spray when

1196
01:02:45,320 --> 01:02:48,560
Speaker 6: i'd ride the bus, I had pepper spray on my keychain.

1197
01:02:48,720 --> 01:02:52,280
Speaker 6: I would walk up to the house and I was

1198
01:02:52,560 --> 01:02:56,120
Speaker 6: prepared in the event that I would be attacked by somebody.

1199
01:02:56,160 --> 01:02:59,960
Speaker 6: I thought, that's what saber radio does. These are non lethal.

1200
01:03:00,200 --> 01:03:02,200
Speaker 6: You can give them to your kids, you can give

1201
01:03:02,240 --> 01:03:06,120
Speaker 6: them to Grandma and grandpa. They will make you feel safer,

1202
01:03:06,400 --> 01:03:10,000
Speaker 6: but you don't have to worry about injuring yourself necessarily

1203
01:03:10,080 --> 01:03:14,040
Speaker 6: with them. Trust me on this. Pepper spray Sabers number

1204
01:03:14,040 --> 01:03:16,880
Speaker 6: one pepper spray brand, trusted by law enforcement. You need

1205
01:03:16,920 --> 01:03:18,840
Speaker 6: to go check all the things that they offer. We've

1206
01:03:18,840 --> 01:03:22,120
Speaker 6: got every single one of their products in the house.

1207
01:03:22,400 --> 01:03:24,280
Speaker 6: You'll be glad if you do it. Go online to

1208
01:03:24,360 --> 01:03:28,120
Speaker 6: Saber radio dot com. You'll say fifteen percent. There s

1209
01:03:28,120 --> 01:03:30,760
Speaker 6: a b r E radio dot com eight four four

1210
01:03:31,160 --> 01:03:34,320
Speaker 6: eight two four safe. That's eight four four eight two

1211
01:03:34,440 --> 01:03:36,439
Speaker 6: four s a F E.

1212
01:03:38,640 --> 01:03:39,600
Speaker 10: You don't know what.

1213
01:03:39,960 --> 01:03:42,400
Speaker 3: You don't know right, but you could.

1214
01:03:42,760 --> 01:03:45,520
Speaker 8: On the Sunday Hang with Clay and Buck podcast