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Speaker 1: Oh, welcome in appreciate all of you as we roll

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Speaker 1: through the Thursday edition of the program. Rejoice, the government

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Speaker 1: is back open. Last night, President Trump at ten twenty

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Speaker 1: four pm Eastern officially signed the bill, put on his

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Speaker 1: desk from the House, and we are now back up

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Speaker 1: and running. And let's go ahead and take you into

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Speaker 1: that evening event. If if you missed it, as many

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Speaker 1: of you may have already been in bed, or you

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Speaker 1: may not have been paying attention. Here is what Trump

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Speaker 1: said last night, sitting at the Resolute desk in the

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Speaker 1: Oval Office as he officially began the process of opening

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Speaker 1: the government by signing the bill Cut three. I just

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Speaker 1: want to.

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Speaker 2: Tell you the country has never been in better shape.

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Speaker 2: We went through this short term disaster with the Democrats

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Speaker 2: because they vote it would be good politically, and it's

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Speaker 2: an honor now to sign this incredible bill and get

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Speaker 2: our country working again.

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Speaker 3: Thank you.

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Speaker 1: One more thing, Bucky also said, for forty three days,

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Speaker 1: Democrats had no argument. That argument has not changed. This

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Speaker 1: is cut four.

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Speaker 2: For the past forty three days, Democrats in Congress shut

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Speaker 2: down the government of the United States and an attempt

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Speaker 2: to extort American taxpayers for hundreds of billions of dollars

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Speaker 2: for illegal aliens and people that came into our country

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Speaker 2: illegally from gangs, from prisons, from mental institutions. They wanted

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Speaker 2: to pay them one point five trillion dollars, which would

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Speaker 2: have really hurt our healthcare businesses and our recipients and

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Speaker 2: levels never seen before. Today, we're sending a clear message

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Speaker 2: that we will never give into extortion, because that's what

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Speaker 2: it was they tried to extort. The Democrats tried to

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Speaker 2: extort our country.

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Speaker 1: Okay, So I think the number one question most people have,

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Speaker 1: including myself, and I'm curious how you would break this

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Speaker 1: down in terms of the likelihood, is what is going

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Speaker 1: to come next? Buck? Is I'm glad that we are

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Speaker 1: now back open. The Democrats gained absolutely nothing. They seem

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Speaker 1: to have made this choice despite the fact that there

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Speaker 1: was no benefit to them at all. Why will they

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Speaker 1: not just do this again, maybe multiple times in twenty

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Speaker 1: twenty six as we come up on the midterm elections.

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Speaker 1: That's question one for you, Buck, and I think for

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Speaker 1: everybody out there too. And the second part here, I

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Speaker 1: don't understand why we can't modify the filibuster in this

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Speaker 1: particular fashion where we don't allow the minority party to

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Speaker 1: shut down the government just over having basically a tantrum.

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Speaker 1: My concern is, yes, Democrats have recognized after forty three days, hey,

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Speaker 1: we didn't gain anything. Trump's not gonna bend, but they

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Speaker 1: may still believe that they gained politically. So my concern

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Speaker 1: is why would they not do this potentially multiple times

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Speaker 1: in the upcoming year with the election cycle.

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Speaker 4: Well, I think that the midterm is going to be

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Speaker 4: something of people over use the term referendum. Right, First

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Speaker 4: of all, what is it? You know, what does a

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Speaker 4: referendum really mean? A lot of people don't know how.

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Speaker 1: Much of a referendum it would it would be.

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Speaker 4: But I think the midterms will factor into the assessment

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Speaker 4: of whether this kind of tactic is effective or not

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Speaker 4: because a lot of the narrative is going to be

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Speaker 4: built off of this, Right, There's going to be a

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Speaker 4: lot of posturing about how we fought, we stood up

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Speaker 4: to Trump, and I think they'll see this as an

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Speaker 4: opening to talk about healthcare, the problem Democrats have, and

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Speaker 4: this is getting really deep into it and Clay, this

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Speaker 4: feels like something that has been building for a long time,

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Speaker 4: because again, I started talking about politics for a living

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Speaker 4: Right around it was the Tea party era, right around

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Speaker 4: when Obamacare was the thing. Right, Obamacare was the big

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Speaker 4: fight in this country politically at how it was, how long,

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Speaker 4: how far back we're going now, we're talking fifteen years.

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Speaker 1: And they managed to with the obvious.

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Speaker 4: Advantages they had in the media and the whole apparatus

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Speaker 4: around Obama himself and the worship and everything, they managed

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Speaker 4: to both roll out the good ease, Oh you can

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Speaker 4: be on your parents' plan. Oh we're going to expand coverage.

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Speaker 4: Oh we're gonna make mental health and physical health give

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Speaker 4: it parody and all this, all these things if people go, oh, well,

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Speaker 4: that sounds kind of good. With this promise of you're

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Speaker 4: gonna keep your doctor, it's going to bring down costs,

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Speaker 4: it's going to make the health care system more efficient, all.

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Speaker 1: Of that is a total failure.

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Speaker 4: In fact, it's worse than a failure because it went

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Speaker 4: in the other direction. It made you know, it's one

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Speaker 4: thing to not achieve your goal, it's another thing to

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Speaker 4: make it worse. If I was giving somebody, you know,

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Speaker 4: special diet cookies and they didn't lose weight, that's bad.

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Speaker 4: If they gained fifty pounds, that's even worse. That's what

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Speaker 4: the Obama care bill has actually done. And I think

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Speaker 4: that healthcare is going to be a big part of

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Speaker 4: what the mid terms because healthcare goes right into affordability.

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Speaker 4: You're gonna hear that word affordability. I might add, ad nauseum.

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Speaker 4: You're all gonna get sick of it. We're all gonna

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Speaker 4: get sick of talking about it. But it matters is this.

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Speaker 1: This is the new version of kitchen table economic issues.

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Speaker 1: So clay about the shutdown, I think it's the beginning

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Speaker 1: phase of Democrats trying to convince the American people enough

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Speaker 1: of them that they can regain power. Remember, they're not

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Speaker 1: trying to gain they're not trying to convince you, me

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Speaker 1: or this audience. But they're trying to regain power through

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Speaker 1: convincing enough Americans that they stand against They stand against Trump.

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Speaker 1: That's point one, no matter what that means, we stand

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Speaker 1: against Trump, yes, no kings. And point two, we're going

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Speaker 1: to make your life style more affordable. Somehow, I think

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Speaker 1: that's gonna be the whole, the whole thing.

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Speaker 4: They don't want to say, we're gonna kick open the

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Speaker 4: borders and let criminals run wild on the streets.

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Speaker 1: That was kind of a loser for them in twenty four.

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Speaker 1: That wasn't a good That wasn't a good take. But

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Speaker 1: I still think they're gonna do it again. And so

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Speaker 1: if you're out there and you're saying, what are the

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Speaker 1: consequences for Democrats doing this? Yes they have an internal

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Speaker 1: civil war, Yes Chuck Schumer is under siege, but I

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Speaker 1: don't know that they actually lost anything. And if anything,

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Speaker 1: I think there's an incentive to try this again, which

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Speaker 1: is why I would solve this. And I'm saying this

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Speaker 1: on behalf of Republicans who may be the minority party again.

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Speaker 1: Almost certainly at some point in the next decade, Republicans

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Speaker 1: won't have control of the Senate. Why in the world

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Speaker 1: would we not put in place procedures to stop this

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Speaker 1: from happening, Because leave aside the temper tantrum aspect of it,

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Speaker 1: I'm concerned. And I know you talked about this in

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Speaker 1: air traffic control error that led to the deadliest plane

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Speaker 1: crash if I remember, was it in Brazil. You were

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Speaker 1: talking about buck where five hundred people died when planes

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Speaker 1: when two planes collided. My concern is we created a

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Speaker 1: situation where that could happen in the United States when

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Speaker 1: all the air traffic control guys and gals are not

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Speaker 1: getting paid what they should have gotten paid. They're not

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Speaker 1: getting their paychecks, and we started to have to restrict

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Speaker 1: the amount of flow of airplanes all over the country,

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Speaker 1: and so many of you got caught up in the chaos.

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Speaker 1: We could have had a real disaster there. That's the

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Speaker 1: area I would argue of our federal government that is

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Speaker 1: most important given the consequences of being wrong. In fact,

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Speaker 1: I know you're a big fan of this show too.

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Speaker 1: Remember one of the seasons of Breaking Bad actually opens

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Speaker 1: with an air traffic controller losing track of what's going

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Speaker 1: on and allowing two planes to collide in the air.

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Speaker 1: For those of you out there that are also big

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Speaker 1: Breaking Bad fans, but I don't understand why we have

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Speaker 1: allowed this process to occur and why we would continue

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Speaker 1: to allow it to occur. To me, if we modified

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Speaker 1: the filibuster when it comes to Supreme Court appointments, then

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Speaker 1: why in the world would we not modify the filibuster

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Speaker 1: to stop the minority party from effectively throwing a temper

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Speaker 1: tantrum and shutting down the government like this? That to

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Speaker 1: me seems like an easy resolution going forward.

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Speaker 4: There there was a lot of talk from Trump about

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Speaker 4: getting rid of the filibuster and.

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Speaker 1: Then they're getting rid of the whole philibuster block is

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Speaker 1: a step too far. But this is to me, would

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Speaker 1: it makes sense.

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Speaker 4: This is what I'm gonna say, is that this is

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Speaker 4: the halfway measure is well on this one, On this one,

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Speaker 4: we are going to change the rule now. To be

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Speaker 4: fair and to be clear, Harry Reid did something of

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Speaker 4: a halfway measure with the judges too, right.

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Speaker 1: It was for federal judges but not for Supreme Court.

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Speaker 1: And then when we were in the majority, we were like,

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Speaker 1: you know what, you're gonna play that game. We're gonna

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Speaker 1: play that game. So there's something of an arms race

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Speaker 1: that occurs.

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Speaker 4: Within the Senate procedural rules that we will be engaging

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Speaker 4: in here. But if you want Trump to be able

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Speaker 4: to have a functional government and not just allow Democrats

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Speaker 4: to throw tantrums like this, then I think that this

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Speaker 4: then I think it makes a lot of sense to do.

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Speaker 4: We just have to understand that there will be a cost,

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Speaker 4: there will be a consequence on the other side at

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Speaker 4: some point. I do think there's understanding already Clay among

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Speaker 4: Republicans and among the Trump faithful, among all the Trump

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Speaker 4: voters out there. Democrats will be back in power at

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Speaker 4: some point. You know, the triumphalism of the first six months,

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Speaker 4: because it felt like such a sound and resounding defeat

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Speaker 4: of Kamala and the forces of evil also known as Democrats,

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Speaker 4: that has given way a little bit too. Oh wow,

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Speaker 4: they can still make people like Spamberger win in Virginia.

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Speaker 4: Kamala was closer than we think, as awful as she was,

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Speaker 4: And that's what I always like to remind people of.

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Speaker 4: They almost won with Kamala, and they did win. I know,

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Speaker 4: the Shenanigans, but they did win with a dementia patient

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Speaker 4: and Joe Bias. So there's a lot of Democrats out

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Speaker 4: there everybody, and a very powerful machinery around them. So

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Speaker 4: we need to be prepared not just for this midterm,

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Speaker 4: but get ready for what things are going to look

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Speaker 4: like if and when they take power again.

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Speaker 1: All right, you want to set up this conversation. Let's

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Speaker 1: go ahead, because we talked about it yesterday the H

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Speaker 1: one B visas and some of you may have strong opinions.

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Speaker 1: In fact, I'll open up the phone lines on this

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Speaker 1: eight hundred and two A two two eight A two

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Speaker 1: for people who have used H one B visas before

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Speaker 1: business owners management, I would be interested in hearing your experience.

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Speaker 1: I candidly have not ever as a business owner, been

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Speaker 1: involved in anything involving these visas. But there was a

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Speaker 1: significant discussion between more Ingram who is very opposed to these,

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Speaker 1: and President Trump, who in general has been in favor

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Speaker 1: of them. And you mentioned yesterday, Buck that this kind

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Speaker 1: of blew up. It was during Christmas break, if I

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Speaker 1: remember correctly, the Vike Ramaswami stepped into the H one

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Speaker 1: B visa discussion on social media and he hasn't even

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Speaker 1: been that active. Viveke hasn't on social media by and

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Speaker 1: large since Look, you know, I was.

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Speaker 4: I've talked to Vike Vike a little bit in the past.

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Speaker 4: I was very skeptical of his run because to me,

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Speaker 4: it felt like it was just for attention in brand building,

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Speaker 4: and it was successful in that regard. But I liked

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Speaker 4: a lot of what he said, and I think a

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Speaker 4: lot of what he said was in earnest. That tweet

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Speaker 4: was one of the worst self destructive tweets I've ever

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Speaker 4: seen a Republican politician put out in my life because

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Speaker 4: it really it really was like a swipe at America

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Speaker 4: and it felt like it was something he really believed.

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Speaker 1: And that is not good.

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Speaker 5: Uh.

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Speaker 4: And by the way, you know his opponent and the

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Speaker 4: Democrat opponent in Ohio, what do you think the first

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Speaker 4: thing that she's attacking him with already on that is,

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Speaker 4: I think the Aarica doesn't have a culture of excellence.

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Speaker 4: Where do they have a culture of excellence? Vivic explain

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Speaker 4: that one to Clay one of the worst tweets I've

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Speaker 4: ever seen. I mean, not as bad as writing a

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Speaker 4: memoir about shooting your dog, but but bad.

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Speaker 1: Batch We will positive is Vivik appears to be on

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Speaker 1: track to win Ohio comfortably, which would be important, and

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Speaker 1: I do think he would be a good governor. But

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Speaker 1: when we come back, I want to hear I phone

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Speaker 1: lines are open eight hundred and two two two eight

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Speaker 1: A two. I'm not wanting your opinion on this if

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Speaker 1: you haven't interacted or used these I want people out

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Speaker 1: there in our audience who have used the H one

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Speaker 1: B visas we're going to dive into this. We'll talk

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Speaker 1: about it some during the course of this hour. We

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Speaker 1: also are going to be joined by our friend Bill

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Speaker 1: O'Reilly at the top of the next hour. Much to discuss,

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Speaker 1: including Bill O'Reilly. Didn't he say this? He's totally wrong

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Speaker 1: on this. We'll have to tell him that Gavin Newsom

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Speaker 1: has no political future in the Democrat Party basically as

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Speaker 1: a president.

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Speaker 4: We may tag team Uncle Bill on this one, Clay,

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Speaker 4: but just remember he's got old man strength.

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Speaker 1: You know that is certainly true. I'm getting to be

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Speaker 1: an old man. I think I'm starting to have some

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Speaker 1: old man strength. But what is it about You reach

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Speaker 1: an age and the grip, the grip strength that you

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Speaker 1: have is like terrifying. You know, all of you're like

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Speaker 1: just it's like when people used to say that somebody

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Speaker 1: was farm strong. It's like you have lived a life

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Speaker 1: where you if you are physically active, it's carrying around kids,

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Speaker 1: it's dragging the chairs to the beach. It's just all

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Speaker 1: of the non gem related muscle musculature. It adds up

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Speaker 1: to what it's like. I don't think Uncle Bill would

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Speaker 1: be be great at deadlifting, but I think he could

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Speaker 1: probably crack a billiard ball in his left hand, like

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Speaker 1: no problem. So we'll talk about this. But H one

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Speaker 1: B one you guys loading lines. I can already see

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Speaker 1: poor producer Greg. I only want people who have experienced it,

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Speaker 1: not your opinion on this, I want to hear from

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Speaker 1: people that have actually used these.

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Speaker 1: Making America great again.

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Speaker 6: Isn't just one man, It's many The team forty seven

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Speaker 6: podcasts Sunday's at noon Eastern in the Clay.

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Speaker 1: And Buck podcast feed.

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Speaker 6: Find it on the iHeartRadio app or wherever you get

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Speaker 6: your podcasts.

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Speaker 1: All right, second hour of Play and Buck kicks off

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Speaker 1: right now. We've got Bill O'Reilly with us mega bestselling

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Speaker 1: author commentator. You all know where to go get his stuff.

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Speaker 1: Billarilly dot com latest book, Confronting Evil Assessing the worst

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Speaker 1: of the Worst. I'm sure Bill, there's a whole chapter

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Speaker 1: on people who chew with their mouths open, the worst

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Speaker 1: of the worst. Thank you so much for being here

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Speaker 1: with us. Appreciate that.

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Speaker 3: Listen, guys, I always like talking to you. Thanks trapping

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Speaker 3: me in.

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Speaker 4: Let's get into the shutdown right away, shall we. What

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Speaker 4: the heck was this all about? I mean, give us,

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Speaker 4: give us your census to what the Democrats think they

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Speaker 4: got out of this and what they really got out

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Speaker 4: of this and how they're going to go forward now

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Speaker 4: that a lot of people, I think saw this not

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Speaker 4: the way that they had intended.

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Speaker 3: Well, they went a partial victory here last week when

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Speaker 3: New Jersey went Democrat in the gubernatorial race when it

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Speaker 3: was supposed to be considered very tight. It was not.

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Speaker 3: People were angry about the government shutdown. Whenever the American

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Speaker 3: public is angry, they vote against the incumbents. That's all

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Speaker 3: the way back to John Adams, and it's always been

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Speaker 3: that way. But the genesis of this is that the

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Speaker 3: Democratic Party was getting beaten so badly by President Trump

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Speaker 3: that it had to make a stand somewhere sometime, and

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Speaker 3: the people who run the party, which are far left

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Speaker 3: regressive consultants, not senators or congress people, that the party

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Speaker 3: is being run as an art on the Wall Street

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Speaker 3: Journal editorial page say, very good article about money people

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Speaker 3: calling the shots in the Democratic Party. Well, they decided,

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Speaker 3: look the Republicans' weaknesses. They don't have a healthcare plan

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Speaker 3: to bring down costs, So we'll insist that the temporary

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Speaker 3: Obama care spending which rose and was supposed to come

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Speaker 3: back down after the pandemic subsided, be made permanent. And

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Speaker 3: the Democrats who fostered that new that Trump and the

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Speaker 3: Republicans would never agree, never to more spending in the

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Speaker 3: chaotic program. So they knew that the government was going

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Speaker 3: to shut down. Now they thought that they might be

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Speaker 3: able to wait it out, but ecs affected, it was over.

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Speaker 3: So forty three days, millions of Americans hurt for nothing,

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Speaker 3: the Democrats got nothing.

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Speaker 1: Bill. It seems quite clear that Democrats recognize that they

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Speaker 1: misplayed this, that they have created a mess for themselves,

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Speaker 1: and so they decided, Hey, the government's opening back up,

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Speaker 1: let's distract everybody. Let's throw out this Epstein story all

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Speaker 1: over again. You've known and and Buck and I talked

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Speaker 1: about that yesterday and said, hey, this is a clear

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Speaker 1: attempt to try to avoid attention being placed upon their

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Speaker 1: h and you know their incompetence. What is the game

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Speaker 1: plan here? Uh? As we look ahead to twenty twenty six,

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Speaker 1: aren't we shouldn't we be concerned that they're just going

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Speaker 1: to shut down the government again and again that seems

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Speaker 1: to me to be the most likely outcome because they

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Speaker 1: don't really have any game plan, but they just want

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Speaker 1: to be reflexively anti Trump. And if that's true. What

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Speaker 1: would be a remedy? Do you support adjusting the filibuster

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Speaker 1: here to stop the government from being able to be

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Speaker 1: shut down until sixty senators, which requires you know, eight

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Speaker 1: seven eight Democrats actually come to their senses.

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Speaker 3: There's a lot of questions in their clay. Okay, So

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Speaker 3: number one is obvious that Democrats threw this Epstein stuff

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Speaker 3: out to deflect from the embarrassment of losing the shutdown. Yes,

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Speaker 3: everybody with an IT over fifty knows that. Okay. Number two, No,

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Speaker 3: I wouldn't miss around with the filibuster at all, because

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Speaker 3: then you're going to create a monster that is going

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Speaker 3: to come back and do some serious damage. You can't

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Speaker 3: be changing the philibuster rules every two years. Number three.

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Speaker 3: The way to do this is for a new law,

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Speaker 3: and the Republicans have and of votes and both the

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Speaker 3: House and Senate to pass it. It says you get

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Speaker 3: one shot at an adjustment of spending during a fiscal

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Speaker 3: year one. So we have a January date coming up

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Speaker 3: where this might happen all over again. But I sin

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Speaker 3: just like it won't because Democrats now are becoming the

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Speaker 3: Party of Mean, the mean party, and well, a lot

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Speaker 3: of Americans aren't smart enough to understand what's going on

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Speaker 3: and don't really care. Most do, and so the Democrats

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Speaker 3: try the same stunt in January. There's gonna be a

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Speaker 3: lot of anger, and then you're only talking about nine

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Speaker 3: months until the midterms. So the Democrats gotta be very

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Speaker 3: careful here. But the way to stop it now is

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Speaker 3: to pass a new law. You get one shot on

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Speaker 3: a continuing funding basis or fiscal.

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Speaker 4: Year makes sense. I mean, they've got to figure out

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Speaker 4: something to stream on this. We're talking to Bill O'Reilly

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Speaker 4: confronting Evil, his latest massive bestseller. Make sure you go

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Speaker 4: out and get a copy of it. So Bill, we watched,

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Speaker 4: or at least I watched. I think Clay saw some

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Speaker 4: of the clips you on on Bill Maher well done,

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Speaker 4: by the way. That's that's always a it's a good

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Speaker 4: show when they have somebody who doesn't just agree with

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Speaker 4: all the communists, the lunacy out in California. So it

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Speaker 4: was good that you were there. One thing though, where

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Speaker 4: Clint and I both wanted we wanted to press on

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Speaker 4: this one a little bit. You said something about how

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Speaker 4: you don't think Gavin Newsom has a shot at the

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Speaker 4: national level, for the Democrats expand upon this one because

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Speaker 4: we were both, uh, we're both thinking that that's Look,

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Speaker 4: I'll just say it. We both have said we think

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Speaker 4: it's going to be him at the top of the

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Speaker 4: ticket AOC at the bottom. It sounds like you disagreed.

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Speaker 3: Tell us why, because this record is so abysmal in California,

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Speaker 3: it'd be very easy for the Republican has just taken

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Speaker 3: them apart, and you know, the spending it responsibility and

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Speaker 3: just yesterday his chief established indicted on corruption. I mean

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Speaker 3: he started to look at this guy Newsom, You're going

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Speaker 3: to find a thousand things that are going to weigh

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Speaker 3: him down. And I'm not sure the Democratic partyer wants

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Speaker 3: to go with a candidate is going to be on

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Speaker 3: the defensive every single day. So I would say that

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Speaker 3: a guy like Wes Moore's not as defined. He's the

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Speaker 3: governor of Maryland, and he's a patriot, you know, a

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Speaker 3: military guy has done a decent job trying to combat

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Speaker 3: crime in Baltimore. I'd say he had a much better

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Speaker 3: chance because he doesn't have that baggage. Now. Newsom is

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Speaker 3: a good campaigner. He's using Trump tactics, he's you know,

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Speaker 3: running on a populous thing. But when you get use

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Speaker 3: a million citizens, that's how many have left California under Newsom,

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Speaker 3: one million, most of whom were at Floyd. Hey, big taxes,

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Speaker 3: one million? You got something wrong with your state?

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Speaker 1: All right, Well, we agree that he's done an awful job. Unfortunately,

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Speaker 1: I think Democrats don't care about results, and he's the

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Speaker 1: most strident in his attention gathering.

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Speaker 3: Kamala Harris though, yeah, they care about winning the next election,

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Speaker 3: the presidential. So if you're gonna put up a Kamala Harris,

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Speaker 3: all right, and she can't articulate anything, which is what

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Speaker 3: the case was, has not one solution to any problem nothing,

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Speaker 3: you're gonna lose. Should we do a big guy from

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Speaker 3: California whose record is disastrous? You're gonna lose.

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Speaker 1: Should we do a stake? Be here? I don't think

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Speaker 1: the three of us have gone out to dinner together.

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Speaker 1: It's a little bit unfair because you know, Buck and

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Speaker 1: I get to pay half and half. But we think

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Speaker 1: that Newson will be the nominee. You do not. We're

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Speaker 1: giving you the field, which actually is a great deal

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Speaker 1: for you. Do we have a handshake? Bet here? Buck

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Speaker 1: and I say, right now, Gavin Newsom will be the

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Speaker 1: nominee in twenty eight Are you willing to put a

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Speaker 1: stake on the line? Would actually be two stakes for

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Speaker 1: you over this situation.

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Speaker 3: Sure, but not because I'm that confident I'll win. Because

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Speaker 3: it's gonna be a totally different country in three years,

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Speaker 3: gonna be a totally different country in one year. Yeah,

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Speaker 3: that's why the election last week, is it going to

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Speaker 3: have any direct bearing on the midterms next year? The

435
00:24:38,080 --> 00:24:40,920
Speaker 3: country is changing with lightning speed lightning.

436
00:24:41,720 --> 00:24:44,000
Speaker 1: How concerned are you about that? By the way, because

437
00:24:44,000 --> 00:24:45,960
Speaker 1: Buck and I, I think one of the big stories

438
00:24:46,000 --> 00:24:48,679
Speaker 1: that is still not getting enough attention is AI and

439
00:24:48,760 --> 00:24:51,600
Speaker 1: how quickly it's going to change everything in this country.

440
00:24:51,640 --> 00:24:53,160
Speaker 1: Buck and I have been talking about it a lot

441
00:24:53,200 --> 00:24:56,960
Speaker 1: on this program. Are you of the opinion that AI

442
00:24:57,080 --> 00:25:00,560
Speaker 1: is going to be transformative in many ways in terms

443
00:25:00,560 --> 00:25:04,800
Speaker 1: of jobs, in terms of andative. Yes.

444
00:25:07,080 --> 00:25:12,959
Speaker 3: The AI approach, because it's not quite here yet, is

445
00:25:13,040 --> 00:25:17,840
Speaker 3: going to alter the media above all else. Because on

446
00:25:17,960 --> 00:25:21,760
Speaker 3: social media, where you can't track these people down, can't

447
00:25:21,760 --> 00:25:24,800
Speaker 3: hold them accountable in court a law, you're gonna have

448
00:25:24,880 --> 00:25:29,880
Speaker 3: fake videos. Twenty four to seven, twenty four seven, there's

449
00:25:29,960 --> 00:25:34,800
Speaker 3: a congresswoman who accused Trump yesterday. Let me get her name.

450
00:25:34,960 --> 00:25:36,600
Speaker 3: I got it my notes because I'm going to do

451
00:25:36,640 --> 00:25:38,840
Speaker 3: it on the No Spin News tonight. I'm Bill O'Reilly

452
00:25:39,040 --> 00:25:44,440
Speaker 3: dot com and I just read it a quote Melanie

453
00:25:44,480 --> 00:25:51,879
Speaker 3: Stansbury from New Mexico. Okay, she says, I'd like to

454
00:25:51,920 --> 00:25:54,840
Speaker 3: say to the American people, believe your eyes. We have

455
00:25:54,920 --> 00:25:59,840
Speaker 3: all seen photographs of Donald Trump with underage girls sitting

456
00:25:59,840 --> 00:26:05,119
Speaker 3: on his lap. That's a quote. Yeah, there are no

457
00:26:05,240 --> 00:26:09,639
Speaker 3: photographs of Donald Trump with any girl on his lap.

458
00:26:11,080 --> 00:26:15,680
Speaker 3: There was an AI photograph that was put out. Yeah,

459
00:26:15,840 --> 00:26:22,080
Speaker 3: Now this congress person from New Mexico is lying to

460
00:26:22,160 --> 00:26:24,679
Speaker 3: the American people. Now, I don't know whether she is

461
00:26:24,760 --> 00:26:29,920
Speaker 3: just stupid or venal or what based upon some AI

462
00:26:30,240 --> 00:26:37,120
Speaker 3: fake image that she saw. So multiply that by ten thousand,

463
00:26:38,400 --> 00:26:42,440
Speaker 3: because that's what's going to happen and there's no regulation

464
00:26:42,520 --> 00:26:45,640
Speaker 3: about it. How about that for a frightening scenario.

465
00:26:45,800 --> 00:26:46,280
Speaker 1: Nos.

466
00:26:46,400 --> 00:26:49,680
Speaker 4: Well, and also, how do you hold someone legally responsiblet's

467
00:26:49,680 --> 00:26:52,760
Speaker 4: say for defamation? Bill if they say, well, I saw

468
00:26:52,880 --> 00:26:56,160
Speaker 4: this news site shared this photo and it looked real.

469
00:26:56,359 --> 00:26:59,399
Speaker 4: Because especially for a public figure, as you know, the

470
00:26:59,440 --> 00:27:02,480
Speaker 4: standard has to be malice has to be false, tough

471
00:27:02,480 --> 00:27:05,199
Speaker 4: to prove malice if someone's actually looking at a photo

472
00:27:05,240 --> 00:27:07,119
Speaker 4: that looks like a real photo, right, I mean, I

473
00:27:07,160 --> 00:27:09,160
Speaker 4: just think it complicates matters tremendously.

474
00:27:09,840 --> 00:27:11,920
Speaker 3: It makes it harder. But I think if Trump wanted

475
00:27:11,960 --> 00:27:16,960
Speaker 3: to sue Stansbury, he would win because their statements about

476
00:27:17,000 --> 00:27:19,960
Speaker 3: Trump are malicious. So you can bring in a whole

477
00:27:20,000 --> 00:27:24,400
Speaker 3: bunch of other stuff. And it's the responsibility of any

478
00:27:24,560 --> 00:27:30,119
Speaker 3: person trafficking in the public arena to make sure what

479
00:27:30,200 --> 00:27:32,960
Speaker 3: they're saying is accurate.

480
00:27:33,440 --> 00:27:36,160
Speaker 1: Well, especially something like that, right, I mean no doubt.

481
00:27:36,640 --> 00:27:40,560
Speaker 4: Yeah, insinuating you know, some kind of sexual you know violation,

482
00:27:40,920 --> 00:27:42,399
Speaker 4: you know, violation of laws.

483
00:27:43,800 --> 00:27:46,600
Speaker 1: Well, right, but you're gonna see a lot more of this.

484
00:27:47,800 --> 00:27:50,879
Speaker 3: Okay, an ai image may exist, it's not a picture.

485
00:27:51,480 --> 00:27:54,320
Speaker 3: If I were a Trump, I'd go after her, and

486
00:27:54,359 --> 00:27:56,440
Speaker 3: if somebody does to me, I'll go after them.

487
00:27:56,840 --> 00:27:59,840
Speaker 1: It's gonna happen to everybody. Bill, I think you're hitting

488
00:27:59,880 --> 00:28:03,520
Speaker 1: on something that's so incredibly important, because it's going to

489
00:28:03,640 --> 00:28:09,199
Speaker 1: become virtually impossible to distinguish between photos videos, what is

490
00:28:09,280 --> 00:28:14,520
Speaker 1: real and fake, And honestly, people are gonna believe whatever

491
00:28:14,600 --> 00:28:18,000
Speaker 1: they want to believe, So there is gonna be no

492
00:28:18,160 --> 00:28:20,399
Speaker 1: ability to really kind of rain this in.

493
00:28:20,640 --> 00:28:22,159
Speaker 4: This is kind of a silly one, Bill, But you know,

494
00:28:22,200 --> 00:28:25,119
Speaker 4: there was that photo after the Louver heist.

495
00:28:25,320 --> 00:28:27,439
Speaker 1: You know, this is much less serious than the Trump thing.

496
00:28:27,480 --> 00:28:31,199
Speaker 1: But after the Louver heist, there was the photo of

497
00:28:31,280 --> 00:28:34,359
Speaker 1: the detective who looked like he was, you know, dressing

498
00:28:34,440 --> 00:28:37,040
Speaker 1: up as like a French detective from you know, like

499
00:28:37,080 --> 00:28:39,960
Speaker 1: the nineteen fifties, and everyone was like, is it Ai?

500
00:28:40,440 --> 00:28:43,600
Speaker 1: Is it not Ai? It was actually a real photo, apparently,

501
00:28:43,920 --> 00:28:45,920
Speaker 1: but the guy had nothing to do with the cops.

502
00:28:45,960 --> 00:28:47,880
Speaker 1: And but by the time that photo had made it

503
00:28:47,920 --> 00:28:50,440
Speaker 1: around everywhere, nobody knew what was reality. Everyone thought this

504
00:28:50,480 --> 00:28:52,520
Speaker 1: guy was the lead detective on the Louver case.

505
00:28:53,640 --> 00:28:56,320
Speaker 3: You know, even it's worse than that. There was a

506
00:28:56,360 --> 00:29:01,920
Speaker 3: picture of me waters Beck and at the White House.

507
00:29:02,600 --> 00:29:08,520
Speaker 3: But that was a real picture intended to say it

508
00:29:08,560 --> 00:29:09,240
Speaker 3: was Ai.

509
00:29:09,560 --> 00:29:09,640
Speaker 5: No.

510
00:29:09,880 --> 00:29:12,680
Speaker 1: This is also gonna be funny, Bill, the things that

511
00:29:12,720 --> 00:29:15,360
Speaker 1: are actually real. Do you know what the number what

512
00:29:15,560 --> 00:29:19,040
Speaker 1: response is gonna be, it's Ai. Everybody's gonna say that

513
00:29:19,160 --> 00:29:21,440
Speaker 1: we're not gonna have any idea what is real and

514
00:29:21,480 --> 00:29:24,200
Speaker 1: what is fake, because if something's out there that you

515
00:29:24,240 --> 00:29:26,880
Speaker 1: don't like, you just be like, ah, that's totally made up,

516
00:29:26,920 --> 00:29:29,920
Speaker 1: that's AI. And if it's really fake, you're gonna say, wait,

517
00:29:30,040 --> 00:29:31,880
Speaker 1: that's fake, and none of us are gonna have any

518
00:29:31,880 --> 00:29:33,040
Speaker 1: idea what's real and fake.

519
00:29:33,680 --> 00:29:38,560
Speaker 3: Well, that's why Congress has to pass new laws, new defamation,

520
00:29:38,800 --> 00:29:42,240
Speaker 3: libel and slander laws, and they have to pass them

521
00:29:42,240 --> 00:29:45,960
Speaker 3: pretty quickly to make it easier for people to sue.

522
00:29:46,560 --> 00:29:48,600
Speaker 4: But that that's my that's my point, Bill is people

523
00:29:48,640 --> 00:29:51,720
Speaker 4: are gonna people are gonna hide behind a bad faith

524
00:29:52,040 --> 00:29:54,440
Speaker 4: Oh I was acting in good faith standard. Unless we

525
00:29:54,560 --> 00:29:57,120
Speaker 4: change these laws because of AI, they're gonna say, I'm

526
00:29:57,200 --> 00:29:59,800
Speaker 4: just going on what was a re you know, So

527
00:29:59,800 --> 00:30:00,880
Speaker 4: you're right, we got to change.

528
00:30:00,920 --> 00:30:03,400
Speaker 1: It's gonna be a huge problem. But to your point, Bucket,

529
00:30:03,400 --> 00:30:06,360
Speaker 1: it's going to be hosted websites that are in foreign

530
00:30:06,480 --> 00:30:09,840
Speaker 1: countries that are hard to be able to track down

531
00:30:10,080 --> 00:30:12,480
Speaker 1: because they're gonna be a lot of these sourcing, right,

532
00:30:12,520 --> 00:30:13,880
Speaker 1: and then it's going to go everywhere.

533
00:30:14,480 --> 00:30:20,840
Speaker 3: Yeah yeah, yeah, him to the South Asian people. But

534
00:30:22,480 --> 00:30:26,320
Speaker 3: we should have the British system anyway, and the burden

535
00:30:27,000 --> 00:30:32,560
Speaker 3: of defamation should be lowered here because the Charlatans are

536
00:30:32,640 --> 00:30:37,440
Speaker 3: running wild and it's gonna it's gonna make it even

537
00:30:37,600 --> 00:30:42,560
Speaker 3: harder for decent people not to get framed and extorted.

538
00:30:43,480 --> 00:30:45,600
Speaker 3: And that's why Congress has got to get involved.

539
00:30:46,600 --> 00:30:48,680
Speaker 1: Look, I think you're thanks for the time, Bill, and

540
00:30:48,720 --> 00:30:51,240
Speaker 1: we encourage everybody to go check out Bill's newest book.

541
00:30:52,040 --> 00:30:54,800
Speaker 1: I think the Times v. Sullivan's standard, and I've said

542
00:30:54,840 --> 00:30:57,040
Speaker 1: this for a long time, is going to have to

543
00:30:57,040 --> 00:31:01,680
Speaker 1: be readdressed. That's a nineteen six these early sixties civil

544
00:31:01,760 --> 00:31:06,360
Speaker 1: rights era precedent. It doesn't really play in the modern

545
00:31:06,480 --> 00:31:10,080
Speaker 1: era very effectively. Bill. We appreciate the time, and we'll

546
00:31:10,080 --> 00:31:14,480
Speaker 1: get you on again soon. Thanks hearing me in guys anytime,

547
00:31:14,560 --> 00:31:17,560
Speaker 1: let's Bill O'Reilly. Check them out Bill O'Reilly dot com.

548
00:31:17,600 --> 00:31:19,520
Speaker 1: He's got a god of great stuff there, in addition

549
00:31:19,600 --> 00:31:21,880
Speaker 1: to one of the best selling nonfiction book series of

550
00:31:21,920 --> 00:31:24,280
Speaker 1: all time. When we first met up with the team

551
00:31:24,320 --> 00:31:27,240
Speaker 1: at the International Fellowship of Christians and Jews, they were

552
00:31:27,360 --> 00:31:31,320
Speaker 1: understandably focused on helping tens of thousands of Israeli citizens

553
00:31:31,320 --> 00:31:34,840
Speaker 1: displaced and affected by the war, but for many years

554
00:31:34,880 --> 00:31:37,640
Speaker 1: before then, even today, they're continuing to help members of

555
00:31:37,680 --> 00:31:40,000
Speaker 1: the Jewish faith no matter where they are in the world.

556
00:31:40,360 --> 00:31:43,680
Speaker 1: That includes Jewish community members in our nation as well

557
00:31:43,720 --> 00:31:46,840
Speaker 1: that have been affected by anti Semitic acts. For the IFCJ,

558
00:31:47,440 --> 00:31:50,360
Speaker 1: this is an important effort. The IFCJ is on the

559
00:31:50,360 --> 00:31:53,920
Speaker 1: front lines providing real help where it's needed most giving

560
00:31:53,920 --> 00:31:57,440
Speaker 1: food and shelter to Jewish families that feel under threat.

561
00:31:57,600 --> 00:32:00,240
Speaker 1: I have seen this for myself, and I have helped

562
00:32:00,720 --> 00:32:03,040
Speaker 1: to do some of the charity work that they have

563
00:32:03,280 --> 00:32:05,920
Speaker 1: done in Israel. I was over there about a year

564
00:32:05,920 --> 00:32:09,680
Speaker 1: ago in December. Your gift of forty five dollars will

565
00:32:09,680 --> 00:32:13,160
Speaker 1: help support their life saving work by helping provide food, shelter,

566
00:32:13,360 --> 00:32:17,960
Speaker 1: much more. Support the if Supporting the IFCJ is a

567
00:32:18,000 --> 00:32:21,160
Speaker 1: spiritual stand too. Please call eight eight eight four eight

568
00:32:21,320 --> 00:32:25,320
Speaker 1: eight if CJ. That's eight eight eight four eight eight

569
00:32:25,400 --> 00:32:28,160
Speaker 1: four three two five. You can also go online to

570
00:32:28,360 --> 00:32:33,320
Speaker 1: IFCJ dot org. Every dollar helps, don't wait be the difference.

571
00:32:33,720 --> 00:32:36,200
Speaker 1: IFCJ dot org.

572
00:32:37,120 --> 00:32:42,120
Speaker 7: Stories of Freedom, Stories of America, inspirational stories that you

573
00:32:42,240 --> 00:32:46,320
Speaker 7: unite us all each day. Spend time with Clay and

574
00:32:45,640 --> 00:32:49,640
Speaker 7: find them on the free iHeartRadio app or wherever you

575
00:32:49,760 --> 00:32:50,880
Speaker 7: get your podcasts.

576
00:32:51,080 --> 00:32:54,280
Speaker 4: Welcome back into Clay and Buck. All right, something here

577
00:32:54,560 --> 00:32:57,320
Speaker 4: real quick. I want to get back into HMMB discussion

578
00:32:57,320 --> 00:32:59,000
Speaker 4: because we got all lines lit about this. We want

579
00:32:59,000 --> 00:33:01,280
Speaker 4: to have Uncle Bill on to give us the general

580
00:33:01,280 --> 00:33:04,320
Speaker 4: political rundown of what's happening right now. But we'll get

581
00:33:04,360 --> 00:33:06,880
Speaker 4: back to H one b's the big conversation. And I

582
00:33:06,920 --> 00:33:08,520
Speaker 4: had mentioned this in the first hour, said, look what

583
00:33:08,560 --> 00:33:10,480
Speaker 4: Trump said when he said we don't have.

584
00:33:11,800 --> 00:33:13,080
Speaker 1: The talent here.

585
00:33:13,280 --> 00:33:16,320
Speaker 4: He didn't mean that, I know, Trump, he didn't mean

586
00:33:16,320 --> 00:33:19,560
Speaker 4: that in the broadest sense. He meant that for specific things,

587
00:33:19,800 --> 00:33:22,080
Speaker 4: which is why we have an H one B program.

588
00:33:22,480 --> 00:33:25,520
Speaker 4: There are times when we actually do need to bring

589
00:33:25,560 --> 00:33:27,680
Speaker 4: in and by the way, they're very you know there

590
00:33:27,800 --> 00:33:32,240
Speaker 4: countries like South Korea, Taiwan, there are specific instances where

591
00:33:32,240 --> 00:33:34,600
Speaker 4: there is a skill set. I brought up TSMC, one

592
00:33:34,600 --> 00:33:37,240
Speaker 4: of the most valuable companies in the world. We cannot

593
00:33:37,320 --> 00:33:40,880
Speaker 4: run that fab without Taiwanese assistance, even the one in Arizona,

594
00:33:41,160 --> 00:33:44,320
Speaker 4: like we need them. So that's where your H one

595
00:33:44,400 --> 00:33:47,000
Speaker 4: B program is very Now. I think that's a small fraction,

596
00:33:47,280 --> 00:33:49,400
Speaker 4: but that's what Scott Bessant, he went, this is cut

597
00:33:49,440 --> 00:33:52,840
Speaker 4: twenty eight. He said, look, what Trump was really saying

598
00:33:53,040 --> 00:33:54,920
Speaker 4: is what Buck just said to you play it.

599
00:33:55,200 --> 00:33:58,240
Speaker 8: The President's point here is we again, we can't snap

600
00:33:58,320 --> 00:34:00,760
Speaker 8: our fingers and say you're gonna learn how to build

601
00:34:00,760 --> 00:34:05,240
Speaker 8: ships overnight. We want to bring semiconductor industry back to

602
00:34:05,320 --> 00:34:08,919
Speaker 8: the US. There's going to be big facilities in Arizona.

603
00:34:09,360 --> 00:34:12,839
Speaker 8: So I think the president's vision here is to bring

604
00:34:12,920 --> 00:34:16,760
Speaker 8: in overseas workers where these jobs went to have skills,

605
00:34:16,760 --> 00:34:20,799
Speaker 8: who have the skills three five, seven years to train

606
00:34:20,880 --> 00:34:24,120
Speaker 8: the US workers, then they can go home the US

607
00:34:24,200 --> 00:34:25,720
Speaker 8: workers fully takeover.

608
00:34:25,880 --> 00:34:27,440
Speaker 1: So that's what you do.

609
00:34:27,480 --> 00:34:30,280
Speaker 3: You understand the concern that people have, Hey, an American

610
00:34:30,320 --> 00:34:31,799
Speaker 3: can have that job, why you.

611
00:34:31,760 --> 00:34:35,280
Speaker 9: Give it to it can have that job because specific skills,

612
00:34:35,280 --> 00:34:37,719
Speaker 9: Because we haven't built ships in the US for years,

613
00:34:37,719 --> 00:34:42,839
Speaker 9: we haven't built semiconductors. So that this idea of overseas

614
00:34:42,880 --> 00:34:47,560
Speaker 9: partners coming in teaching American workers then returning home, that's

615
00:34:47,600 --> 00:34:48,160
Speaker 9: a home run.

616
00:34:49,280 --> 00:34:51,719
Speaker 4: It just has to be what he's talking about. It's

617
00:34:51,760 --> 00:34:54,239
Speaker 4: so funny because Okay, that makes sense. Yeah, that's what

618
00:34:54,320 --> 00:34:58,120
Speaker 4: the H one B program is supposed to be. It's

619
00:34:58,160 --> 00:35:01,279
Speaker 4: not supposed to be low level coding where you get

620
00:35:01,320 --> 00:35:04,440
Speaker 4: to pay someone Clay from India thirty percent less than

621
00:35:04,480 --> 00:35:06,719
Speaker 4: you'd pay an American that you could find to do

622
00:35:06,840 --> 00:35:07,600
Speaker 4: the job.

623
00:35:07,880 --> 00:35:11,920
Speaker 1: Not only pay them less, basically have them handcuffed, because

624
00:35:11,960 --> 00:35:15,480
Speaker 1: their ability to stay in the country is entirely reliant

625
00:35:15,520 --> 00:35:17,520
Speaker 1: on them being productive workers for you.

626
00:35:17,719 --> 00:35:19,359
Speaker 4: This is why people start to say it's a little

627
00:35:19,360 --> 00:35:21,440
Speaker 4: bit like a modern indentured servitude.

628
00:35:21,560 --> 00:35:22,560
Speaker 1: Exactly what it is.

629
00:35:22,800 --> 00:35:24,319
Speaker 4: And then they said, well, then why would they willing

630
00:35:24,360 --> 00:35:25,800
Speaker 4: to do it? Well, one, them make a lot money,

631
00:35:25,800 --> 00:35:29,560
Speaker 4: more money here than they will in India, for example.

632
00:35:29,640 --> 00:35:33,040
Speaker 4: And two, as I said, there's the whole incentive of well,

633
00:35:33,040 --> 00:35:34,960
Speaker 4: I get to bring my family here, I get to

634
00:35:35,000 --> 00:35:37,760
Speaker 4: skip the overall immigration line. I get to then apply

635
00:35:38,160 --> 00:35:40,400
Speaker 4: in America to try to stay with my get a

636
00:35:40,440 --> 00:35:42,640
Speaker 4: green card. There's a whole thing here, all right, we

637
00:35:42,719 --> 00:35:44,640
Speaker 4: got so we got back and forth on this one.

638
00:35:44,680 --> 00:35:47,160
Speaker 4: So we're going to try to move quickly through the

639
00:35:47,239 --> 00:35:52,000
Speaker 4: various opinions here. Jerrolyn in Southern California a computer programmer,

640
00:35:52,360 --> 00:35:52,920
Speaker 4: what do you think?

641
00:35:53,000 --> 00:35:56,839
Speaker 10: Jerrolin, Hey, nice to talk to you again, claim back,

642
00:35:57,719 --> 00:36:00,600
Speaker 10: I am a computer programmer, and you all just kind

643
00:36:00,640 --> 00:36:03,640
Speaker 10: of covered the points that I made to producer Greg.

644
00:36:03,920 --> 00:36:06,680
Speaker 10: I used to work for a company that was multinational

645
00:36:06,840 --> 00:36:09,920
Speaker 10: and it was kind of a it passed the initial

646
00:36:09,960 --> 00:36:12,239
Speaker 10: startup dase but it was a pretty young company and

647
00:36:12,239 --> 00:36:15,280
Speaker 10: they were still trying to trade on their startup culture,

648
00:36:15,680 --> 00:36:18,000
Speaker 10: and a lot of the programmers I worked with were

649
00:36:18,640 --> 00:36:23,279
Speaker 10: H ONEB visa holders from India, and I think I

650
00:36:23,280 --> 00:36:26,040
Speaker 10: couldn't prove it, but I'm pretty sure that they and

651
00:36:26,080 --> 00:36:29,440
Speaker 10: we never discussed it, because that's tachy in spite of

652
00:36:29,440 --> 00:36:32,040
Speaker 10: what kids these days think. I've noticed it's the trend

653
00:36:32,080 --> 00:36:35,239
Speaker 10: among millennials and generations you to discuss your salary. Don't

654
00:36:35,280 --> 00:36:38,759
Speaker 10: do that, kids, it's bad. Anyway, we never talked about it,

655
00:36:38,760 --> 00:36:41,280
Speaker 10: but I'm pretty sure all of those programmers from India

656
00:36:41,320 --> 00:36:43,439
Speaker 10: were making a lot less than the rest of us were,

657
00:36:43,800 --> 00:36:45,600
Speaker 10: and they were very good at their jobs, but not

658
00:36:45,640 --> 00:36:47,399
Speaker 10: necessarily better than the rest of us.

659
00:36:47,520 --> 00:36:48,200
Speaker 11: Who were.

660
00:36:49,600 --> 00:36:51,640
Speaker 1: Sorry to cut you off, Jerlyn, but you feel like

661
00:36:51,760 --> 00:36:55,920
Speaker 1: in your experience that they could have found American workers

662
00:36:55,960 --> 00:36:58,239
Speaker 1: who could have done the jobs that these H one

663
00:36:58,360 --> 00:36:59,920
Speaker 1: B workers were being hired to do.

664
00:37:01,160 --> 00:37:03,120
Speaker 10: Yes, I think they could have, and I think they

665
00:37:03,160 --> 00:37:05,080
Speaker 10: would have had to pay them more. And I think

666
00:37:05,120 --> 00:37:08,279
Speaker 10: that my Indian coworkers were happy to accept less money

667
00:37:08,320 --> 00:37:12,080
Speaker 10: because they got to stay in America. I think we're

668
00:37:12,120 --> 00:37:13,560
Speaker 10: just making are exactly correct.

669
00:37:14,000 --> 00:37:16,000
Speaker 1: Thank you for the call. I mean, this is fantastic.

670
00:37:16,000 --> 00:37:17,960
Speaker 1: By the way, I wanted you guys who had experience.

671
00:37:18,000 --> 00:37:22,319
Speaker 1: I appreciate. Jare Lynn. Let's go to GEM in North Carolina.

672
00:37:22,440 --> 00:37:25,320
Speaker 1: You've run a business and you've had, you say, dozens

673
00:37:25,400 --> 00:37:29,120
Speaker 1: of H one B employees. First question for you, could

674
00:37:29,160 --> 00:37:32,600
Speaker 1: you not have found Americans able to do those jobs?

675
00:37:33,040 --> 00:37:36,879
Speaker 1: Second question for you, what if anything do you think

676
00:37:36,920 --> 00:37:39,200
Speaker 1: should be changed about the policy or do you think

677
00:37:39,239 --> 00:37:39,959
Speaker 1: it works well?

678
00:37:40,000 --> 00:37:43,359
Speaker 12: Now, well, great to be with you, Clay and Buck. First,

679
00:37:43,440 --> 00:37:45,280
Speaker 12: let me just say that the H one B program

680
00:37:45,360 --> 00:37:48,200
Speaker 12: is abused in various places around the country, and particularly

681
00:37:48,239 --> 00:37:50,360
Speaker 12: in the IT arena. I will tell you that the

682
00:37:50,440 --> 00:37:53,760
Speaker 12: dozens of H one b's that I managed, we hired

683
00:37:53,760 --> 00:37:56,680
Speaker 12: them for one specific purpose, and that was because they

684
00:37:56,719 --> 00:38:01,920
Speaker 12: were more productive than their equivalent American counterparts. When you

685
00:38:02,000 --> 00:38:05,000
Speaker 12: run a business, it's the bottom line that drives your business.

686
00:38:05,040 --> 00:38:07,400
Speaker 12: You've got to be productive. And if you've got foreign

687
00:38:07,480 --> 00:38:09,920
Speaker 12: workers who are willing to work harder, with more attention

688
00:38:10,000 --> 00:38:14,360
Speaker 12: to detail than their counterparts in America, then you're just

689
00:38:14,520 --> 00:38:16,880
Speaker 12: drawn to have to hire them and keep them employed.

690
00:38:17,120 --> 00:38:20,239
Speaker 12: We always were on the search for hard working American

691
00:38:20,280 --> 00:38:23,240
Speaker 12: workers in the IT arena, particularly in the data warehousing

692
00:38:23,280 --> 00:38:26,439
Speaker 12: business intelligence arena. But we just couldn't find the ones

693
00:38:26,480 --> 00:38:28,720
Speaker 12: that could work at the same level, the same degree

694
00:38:28,760 --> 00:38:29,760
Speaker 12: of attention to detail.

695
00:38:30,760 --> 00:38:34,799
Speaker 1: So your position is there was no fungible alternative for

696
00:38:35,000 --> 00:38:38,880
Speaker 1: American workers. You legitimately believe you couldn't have run your

697
00:38:38,920 --> 00:38:41,760
Speaker 1: business without being able to hire these individuals.

698
00:38:42,200 --> 00:38:44,880
Speaker 12: We couldn't work, We couldn't be as competitive as a

699
00:38:44,920 --> 00:38:48,360
Speaker 12: business by hiring workers that were fifty percent less productive

700
00:38:48,760 --> 00:38:50,239
Speaker 12: than their H one B counterparts.

701
00:38:51,320 --> 00:38:54,560
Speaker 1: Where did you go to get your workers? Mostly India?

702
00:38:54,719 --> 00:38:57,360
Speaker 12: Most of them were South Asia Indian. In fact, I

703
00:38:57,400 --> 00:38:59,759
Speaker 12: still have maintained relationships with a lot of them. One

704
00:38:59,760 --> 00:39:01,360
Speaker 12: of the thing that's been missing in all of this,

705
00:39:01,800 --> 00:39:04,600
Speaker 12: when you're looking at a merit based immigration program, there's

706
00:39:04,680 --> 00:39:07,320
Speaker 12: no better kickstart for that than the H one B

707
00:39:07,440 --> 00:39:10,600
Speaker 12: program because a good percentage of those do become American

708
00:39:10,640 --> 00:39:13,840
Speaker 12: citizens over time, and they add so much value to

709
00:39:13,960 --> 00:39:15,040
Speaker 12: our employment sector.

710
00:39:15,800 --> 00:39:20,239
Speaker 1: Thank you for the call, David and Raleigh. You say

711
00:39:20,280 --> 00:39:23,400
Speaker 1: you have been an engineering manager. I think that's what

712
00:39:23,440 --> 00:39:25,920
Speaker 1: that says for fifteen years and worked with a lot

713
00:39:25,960 --> 00:39:30,000
Speaker 1: of H one B employees. Your take, Yeah, I.

714
00:39:30,000 --> 00:39:33,840
Speaker 11: Believe that for the most part. Laura's right, we're flooding

715
00:39:33,840 --> 00:39:38,600
Speaker 11: the market with too many engineers, and it's clearly disrupting

716
00:39:38,640 --> 00:39:41,719
Speaker 11: the supply chain of engineers. If you look at when

717
00:39:41,719 --> 00:39:44,160
Speaker 11: I came into the industry in the early two thousands,

718
00:39:44,760 --> 00:39:48,120
Speaker 11: engineers aren't making that much more than justice for inflation

719
00:39:48,520 --> 00:39:52,360
Speaker 11: than we were back then. But I think the bigger issue,

720
00:39:52,440 --> 00:39:54,560
Speaker 11: like when Lutnick came out and said, hey, it's gonna

721
00:39:54,520 --> 00:39:56,480
Speaker 11: be one hundred thousand per year per h one B,

722
00:39:57,080 --> 00:39:59,320
Speaker 11: a lot of us were excited because that would fix,

723
00:39:59,560 --> 00:40:02,040
Speaker 11: you know, the issue to a large extent. But what

724
00:40:02,080 --> 00:40:03,720
Speaker 11: will happen is the companies are just going to offshore

725
00:40:03,760 --> 00:40:07,520
Speaker 11: these jobs. We're already setting up design houses in India.

726
00:40:07,680 --> 00:40:11,920
Speaker 11: Every every big fortune five hundred company has a design

727
00:40:12,280 --> 00:40:15,880
Speaker 11: house essentially under their umbrella in India right now, and

728
00:40:16,000 --> 00:40:18,200
Speaker 11: they're growing those right now. And so we're watching these

729
00:40:18,280 --> 00:40:21,360
Speaker 11: jobs just go straight to India.

730
00:40:21,480 --> 00:40:22,239
Speaker 1: Thank you for the call.

731
00:40:22,680 --> 00:40:24,920
Speaker 4: Well, you know, part of this is also the upstream,

732
00:40:25,000 --> 00:40:31,040
Speaker 4: downstream reality of when you have the consistent and systematic

733
00:40:31,640 --> 00:40:35,560
Speaker 4: undercutting of an American wage in a certain industry from

734
00:40:35,800 --> 00:40:38,400
Speaker 4: let's be honest, in the case of India, the most

735
00:40:38,400 --> 00:40:41,000
Speaker 4: populous country on Earth, there are a lot of Indians

736
00:40:41,360 --> 00:40:44,200
Speaker 4: like one point three billion or something like that. And

737
00:40:44,280 --> 00:40:47,360
Speaker 4: when you have this going on, it's going to create

738
00:40:47,800 --> 00:40:53,080
Speaker 4: deficiencies in the American sector because Clay perfect example, when

739
00:40:53,120 --> 00:40:54,600
Speaker 4: I got out of school, when you got out of school,

740
00:40:54,960 --> 00:40:58,360
Speaker 4: everybody in the top of my class at Amherst unless

741
00:40:58,360 --> 00:41:00,319
Speaker 4: you wanted to go save America at the SEAI, Hey,

742
00:41:00,520 --> 00:41:03,200
Speaker 4: everybody in the top of my class. There were two

743
00:41:03,360 --> 00:41:07,239
Speaker 4: job tracks for you, investment banking, management consulting.

744
00:41:08,120 --> 00:41:09,800
Speaker 1: Both of those, by the way, you could.

745
00:41:09,680 --> 00:41:13,160
Speaker 4: Argue, where's the value add long you know, there's a

746
00:41:13,200 --> 00:41:15,800
Speaker 4: lot of more detailed discussions. You know, there's been a

747
00:41:15,800 --> 00:41:18,600
Speaker 4: whole series TV shows made about management consulting and like

748
00:41:18,640 --> 00:41:22,040
Speaker 4: how it's you, yeah, lower your costs, raise your profits.

749
00:41:22,080 --> 00:41:24,239
Speaker 1: Like that's that's brilliant. That's the one that's really being

750
00:41:24,280 --> 00:41:27,160
Speaker 1: erase by AI because you can plug the large data

751
00:41:27,200 --> 00:41:27,560
Speaker 1: sets in.

752
00:41:28,160 --> 00:41:31,319
Speaker 4: But those were two areas where in your twenties, you know,

753
00:41:31,400 --> 00:41:33,000
Speaker 4: you could come out and you could start making And

754
00:41:33,000 --> 00:41:35,640
Speaker 4: I'm talking about twenty years ago, mind you, twenty years

755
00:41:35,640 --> 00:41:37,759
Speaker 4: ago you could make two three hundred grand in your

756
00:41:37,800 --> 00:41:41,839
Speaker 4: twenties pretty pretty readily within a couple of years. I mean,

757
00:41:41,880 --> 00:41:44,719
Speaker 4: I think the starting salary at the investment banks. I

758
00:41:44,800 --> 00:41:46,839
Speaker 4: got an offer from one at City Group was like

759
00:41:46,840 --> 00:41:49,520
Speaker 4: one hundred and fifty, and then with bonus it could

760
00:41:49,520 --> 00:41:50,920
Speaker 4: be up to one hundred and you know, if it

761
00:41:50,920 --> 00:41:53,279
Speaker 4: was a good year anyway, very variable. But the point is,

762
00:41:53,840 --> 00:41:57,720
Speaker 4: you went to be an engineer, you're making like seventy

763
00:41:57,800 --> 00:41:58,319
Speaker 4: or eighty grand.

764
00:41:58,360 --> 00:41:58,480
Speaker 1: Now.

765
00:41:58,480 --> 00:41:59,560
Speaker 4: I know a lot of you're saying, well, that's a

766
00:41:59,600 --> 00:42:01,839
Speaker 4: great job, that's a lot of money. Sure, but if

767
00:42:01,840 --> 00:42:04,720
Speaker 4: you had the grades to be a top engineering recruit,

768
00:42:05,080 --> 00:42:07,839
Speaker 4: you also probably had the grades to go work at

769
00:42:07,920 --> 00:42:10,880
Speaker 4: McKenzie and tell people how to run their companies that

770
00:42:10,920 --> 00:42:13,000
Speaker 4: you've never run before and make a whole lot of money.

771
00:42:13,239 --> 00:42:16,000
Speaker 4: So this is I'm just saying the incentives that have

772
00:42:16,040 --> 00:42:20,000
Speaker 4: been set up because people were thinking, oh, well, coding

773
00:42:20,040 --> 00:42:22,640
Speaker 4: almost became or you know, a lot of these computer

774
00:42:22,719 --> 00:42:25,920
Speaker 4: skills that we're hiring H oneb's for ore back office.

775
00:42:26,640 --> 00:42:28,800
Speaker 4: And as long as you're in a back office situation,

776
00:42:28,920 --> 00:42:31,040
Speaker 4: you're never going to really be writing your own ticket

777
00:42:31,080 --> 00:42:32,239
Speaker 4: and determining your own fate.

778
00:42:33,520 --> 00:42:35,879
Speaker 1: No doubt, We've still got a bunch of calls. We'll

779
00:42:35,880 --> 00:42:38,040
Speaker 1: get to some of those calls when we come back

780
00:42:38,080 --> 00:42:42,279
Speaker 1: I appreciate everybody reaching out and sharing what your perspectives

781
00:42:42,360 --> 00:42:46,120
Speaker 1: on what is a challenging situation. Will continue to break

782
00:42:46,120 --> 00:42:50,040
Speaker 1: all that down going forward. But in the meantime, Buck,

783
00:42:50,040 --> 00:42:51,359
Speaker 1: I think you got something for us here.

784
00:42:52,400 --> 00:42:52,839
Speaker 3: I do.

785
00:42:53,160 --> 00:42:57,920
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786
00:42:58,000 --> 00:42:58,520
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787
00:42:58,640 --> 00:43:04,239
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788
00:43:04,800 --> 00:43:08,120
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789
00:43:08,200 --> 00:43:11,120
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790
00:43:11,160 --> 00:43:12,200
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791
00:43:12,239 --> 00:43:15,680
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792
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793
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794
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795
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796
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798
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799
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800
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801
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802
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811
00:44:12,280 --> 00:44:16,040
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Speaker 1: code Buck. You ain't imagining it. The world has gone insane.

814
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Speaker 6: Reclaim your sanity with Clay and Fun. Find them on

815
00:44:29,000 --> 00:44:32,840
Speaker 6: the free iHeartRadio app or wherever you get your podcasts.

816
00:44:33,560 --> 00:44:37,760
Speaker 1: Welcome back in, Clay, Travis, Buck Sexton show Our number three,

817
00:44:37,920 --> 00:44:39,960
Speaker 1: A lot of You weighing in eight hundred and two

818
00:44:39,960 --> 00:44:44,000
Speaker 1: A two two eight eight two. Uh. President Trump set

819
00:44:44,080 --> 00:44:50,239
Speaker 1: to speak soon on affordability related issues. Uh. We have

820
00:44:50,360 --> 00:44:52,799
Speaker 1: got a couple of different breaking news stories that I

821
00:44:52,840 --> 00:44:56,600
Speaker 1: wanted to hit you guys with first of all, and

822
00:44:57,160 --> 00:44:59,360
Speaker 1: it seems like this is kind of a significant story.

823
00:44:59,360 --> 00:45:03,360
Speaker 1: Alina Hobb, who is the state attorney I believe for

824
00:45:04,440 --> 00:45:07,200
Speaker 1: New Jersey, a US Attorney for New Jersey I believe

825
00:45:07,280 --> 00:45:12,839
Speaker 1: is her official title. According to Mary Margaret Olahan, who

826
00:45:12,840 --> 00:45:15,239
Speaker 1: we have had on the program quite a bit, she

827
00:45:15,320 --> 00:45:21,279
Speaker 1: is a Daily wire reporter, there was a attack at

828
00:45:21,360 --> 00:45:27,160
Speaker 1: the US Attorney's office and a suspect entered the building

829
00:45:27,760 --> 00:45:32,239
Speaker 1: with a baseball bat around five pm yesterday, proceeded to

830
00:45:32,520 --> 00:45:37,120
Speaker 1: Alena Habba's office. But Pam Bondi says, this is in

831
00:45:37,160 --> 00:45:40,480
Speaker 1: the last last hour or so these details coming out

832
00:45:40,719 --> 00:45:44,719
Speaker 1: Attorney General. Last night. An individual attempted to confront one

833
00:45:44,719 --> 00:45:49,680
Speaker 1: of our US attorneys Habba, destroyed property in her office

834
00:45:49,880 --> 00:45:56,160
Speaker 1: and fled the scene. Thankfully, Alena is okay. So again,

835
00:45:56,680 --> 00:46:01,200
Speaker 1: left wing violence is certainly an issue, and we're glad

836
00:46:01,239 --> 00:46:03,880
Speaker 1: that Alena Habba is okay. But somebody showing up with

837
00:46:03,920 --> 00:46:08,520
Speaker 1: a bat and attacking the office is something obviously very

838
00:46:08,640 --> 00:46:15,120
Speaker 1: very serious. Other news, John Fetterman's office put out this statement.

839
00:46:15,600 --> 00:46:19,640
Speaker 1: During an early morning walk, Senator Fetterman sustained a fall

840
00:46:19,760 --> 00:46:23,040
Speaker 1: near his home in Braddock, Pennsylvania, out of an abundance

841
00:46:23,040 --> 00:46:26,160
Speaker 1: of caution. He was transported to a hospital in Pittsburgh.

842
00:46:26,520 --> 00:46:31,960
Speaker 1: Upon evaluation, it was established he had a ventricular fibrillation

843
00:46:32,280 --> 00:46:36,520
Speaker 1: flare up that led to him feeling light headed, falling

844
00:46:36,600 --> 00:46:40,120
Speaker 1: to the ground, hitting his face with minor entered injuries.

845
00:46:41,320 --> 00:46:44,920
Speaker 1: He is still hospitalized. This is a funny quote. Senator

846
00:46:44,920 --> 00:46:47,760
Speaker 1: Fetterman had this to say, if you thought my face

847
00:46:47,880 --> 00:46:52,840
Speaker 1: looked bad before, wait until you see it now. So

848
00:46:53,600 --> 00:46:58,640
Speaker 1: that is John Fetterman. He's doing well, receiving routine hospital observations,

849
00:46:58,680 --> 00:47:05,040
Speaker 1: and they are adjusting potential his defibulator in the way

850
00:47:05,080 --> 00:47:10,120
Speaker 1: that I would imagine that that works inside of his body.

851
00:47:10,440 --> 00:47:13,239
Speaker 1: Reminds me Buck That quote, if you thought my face

852
00:47:13,239 --> 00:47:16,400
Speaker 1: will look bad before, wait until you see it now?

853
00:47:16,800 --> 00:47:21,080
Speaker 1: One of the all time great rejoinders from Abraham Lincoln.

854
00:47:21,080 --> 00:47:23,839
Speaker 1: Do you remember this quote? He was accused of being

855
00:47:23,880 --> 00:47:27,319
Speaker 1: two faced and his response was do you think if

856
00:47:27,360 --> 00:47:30,360
Speaker 1: I had two faces? I would wear this one? Which,

857
00:47:30,480 --> 00:47:35,800
Speaker 1: again I'm paraphrasing, but a pretty witty comeback that reminded

858
00:47:35,840 --> 00:47:40,480
Speaker 1: me of what John Fetterman was saying there. Now, remember

859
00:47:40,520 --> 00:47:42,759
Speaker 1: how he talked Buck about Michelle Obama every time she

860
00:47:42,840 --> 00:47:46,799
Speaker 1: speaks making herself less likely, she less like a bull.

861
00:47:47,000 --> 00:47:52,560
Speaker 1: She is continuing to speak and drive down her overall

862
00:47:52,680 --> 00:47:55,960
Speaker 1: likability every single time that she speaks. So I thought

863
00:47:55,960 --> 00:47:58,560
Speaker 1: we could have fun with this and play this cut.

864
00:47:59,000 --> 00:48:02,440
Speaker 1: Michelle Obama said, I've got a couple of cuts that

865
00:48:02,480 --> 00:48:06,600
Speaker 1: are crazy. But Michelle Obama said, Black female beauty is

866
00:48:06,640 --> 00:48:10,640
Speaker 1: so powerful we are owed respect. Cut one.

867
00:48:10,680 --> 00:48:15,280
Speaker 13: We have to start educating people about all kinds of beauty. Yes,

868
00:48:15,840 --> 00:48:21,399
Speaker 13: and our beauty is so powerful and so unique that

869
00:48:21,560 --> 00:48:24,719
Speaker 13: it is that it is worthy of a conversation, and

870
00:48:24,760 --> 00:48:29,400
Speaker 13: it's worthy of demanding the respect that we're old for

871
00:48:29,719 --> 00:48:32,200
Speaker 13: who we are and what we offered to the world.

872
00:48:33,640 --> 00:48:37,840
Speaker 1: Whatever I mean. First of all, every man on the planet,

873
00:48:38,320 --> 00:48:41,760
Speaker 1: trust me on this is aware of beauty. There's nobody

874
00:48:41,760 --> 00:48:43,400
Speaker 1: out there was like, hey, you know, I didn't know

875
00:48:43,440 --> 00:48:47,160
Speaker 1: this woman was attractive. But this is the toxic nature

876
00:48:47,200 --> 00:48:51,800
Speaker 1: of identity politics where she's arguing, basically because of my race,

877
00:48:52,400 --> 00:48:56,000
Speaker 1: that we that we have to be respected. And I

878
00:48:56,160 --> 00:49:00,520
Speaker 1: just you read her PhD or whatever the thesis that

879
00:49:00,560 --> 00:49:05,719
Speaker 1: she wrote. Oh no, no, no undergraduate Princeton thesis. Okay, no,

880
00:49:05,719 --> 00:49:08,920
Speaker 1: no PhD. She went to law school, right, she went

881
00:49:08,920 --> 00:49:11,680
Speaker 1: to Harvard for law school. That's where she met Barack Obama, right.

882
00:49:11,760 --> 00:49:14,440
Speaker 1: I know she was an attorney and he was an

883
00:49:14,520 --> 00:49:17,160
Speaker 1: associate and they met at the firm, but he was

884
00:49:17,239 --> 00:49:19,000
Speaker 1: older when he went back to law school, I think

885
00:49:19,080 --> 00:49:19,640
Speaker 1: is the story.

886
00:49:19,719 --> 00:49:23,080
Speaker 4: She at one point had a job at a public

887
00:49:23,120 --> 00:49:26,080
Speaker 4: hospital in the state of Chicago, I'm sorry, in state

888
00:49:26,080 --> 00:49:29,799
Speaker 4: of Illinois, when her husband was a state legislator. I

889
00:49:29,800 --> 00:49:32,560
Speaker 4: think she was a diversity educator at the hospital, making

890
00:49:32,600 --> 00:49:34,840
Speaker 4: three hundred something thousand dollars a year. And this was

891
00:49:34,880 --> 00:49:36,839
Speaker 4: over twenty years ago, so make like half a milli

892
00:49:36,960 --> 00:49:40,440
Speaker 4: year in today's dollars to be a diversity educator. So

893
00:49:40,680 --> 00:49:43,520
Speaker 4: at the University of Chicago, if I remember correctly, I

894
00:49:43,520 --> 00:49:47,040
Speaker 4: think you are hitting that exactly right. But yeah, basically

895
00:49:47,120 --> 00:49:51,800
Speaker 4: a half a million dollars in today's dollars to essentially

896
00:49:51,920 --> 00:49:54,759
Speaker 4: have a job that is a cake walk. You don't

897
00:49:54,800 --> 00:49:59,239
Speaker 4: have to hardly do anything. And that is the reality.

898
00:50:00,360 --> 00:50:03,920
Speaker 4: So all of this is, all of this is bonkers.

899
00:50:04,600 --> 00:50:09,160
Speaker 1: Also, I pulled this clip because I saw this circulating.

900
00:50:09,840 --> 00:50:13,480
Speaker 1: Democrats have decided buck that their go to talking point

901
00:50:13,560 --> 00:50:16,000
Speaker 1: for this past campaign season, and maybe it's going to

902
00:50:16,080 --> 00:50:19,320
Speaker 1: extend in the next campaign. Season, is that we need

903
00:50:19,840 --> 00:50:26,120
Speaker 1: more grocery stores provided by the government. We know that

904
00:50:26,160 --> 00:50:28,080
Speaker 1: this was a big part of Mom Donnie's pitch in

905
00:50:28,120 --> 00:50:31,480
Speaker 1: New York City. But this is Katie Wilson, who ended

906
00:50:31,560 --> 00:50:35,279
Speaker 1: up winning the mayor's race in Seattle. I don't know

907
00:50:35,320 --> 00:50:38,400
Speaker 1: if you've heard this. This was a flashback to her campaign,

908
00:50:38,760 --> 00:50:42,439
Speaker 1: but it is now circulating. She says that they can't

909
00:50:42,520 --> 00:50:46,520
Speaker 1: allow grocery stores to shut down in Seattle, and that

910
00:50:46,640 --> 00:50:49,400
Speaker 1: if it does happen, then the government needs to step

911
00:50:49,400 --> 00:50:51,320
Speaker 1: in and be the grocery store.

912
00:50:51,680 --> 00:50:54,080
Speaker 4: Can I just just to clarify as the point of clarity, Yeah,

913
00:50:54,160 --> 00:50:57,600
Speaker 4: Michelle Obama worked at the University of Chicago Medical Center,

914
00:50:58,080 --> 00:50:59,719
Speaker 4: so you're right it was a hospital, but you know

915
00:51:00,120 --> 00:51:03,960
Speaker 4: is the U Chicago Hospital and she was executive director

916
00:51:04,120 --> 00:51:09,480
Speaker 4: for Community Affairs Diversity EDUCATORT. What she was working on

917
00:51:09,480 --> 00:51:11,600
Speaker 4: a lot of diversity and recruitment is what I'm reading here.

918
00:51:11,600 --> 00:51:13,879
Speaker 4: Guess what, She's a diversity educator making a half million

919
00:51:13,920 --> 00:51:16,400
Speaker 4: year basically, so nice, nice job if you've got a

920
00:51:16,400 --> 00:51:16,920
Speaker 4: bad gig.

921
00:51:17,120 --> 00:51:22,880
Speaker 1: Relatively low stress. Here is that Seattle new mayor basically

922
00:51:22,960 --> 00:51:26,080
Speaker 1: echoing the same arguments that were made on the other side.

923
00:51:26,200 --> 00:51:28,919
Speaker 1: Of the country coast to coast. What we really need

924
00:51:29,000 --> 00:51:30,880
Speaker 1: is more government grocery stores.

925
00:51:30,920 --> 00:51:35,239
Speaker 5: Just like Cuba, access to affordable, healthy food is a

926
00:51:35,280 --> 00:51:39,000
Speaker 5: basic rite. We cannot allow giant grocery chains to stomp

927
00:51:39,080 --> 00:51:41,520
Speaker 5: all over our communities closed stores that will and leave

928
00:51:41,560 --> 00:51:44,640
Speaker 5: behind food deserts. Together, we can build a seattle where

929
00:51:44,640 --> 00:51:47,120
Speaker 5: fresh food is for everyone, not just for those who

930
00:51:47,120 --> 00:51:47,799
Speaker 5: can afford it.

931
00:51:48,840 --> 00:51:50,200
Speaker 1: Food doesn'ts are not natural.

932
00:51:50,360 --> 00:51:53,160
Speaker 5: Corporations create them when they have bands in our communities.

933
00:51:53,560 --> 00:51:56,680
Speaker 5: As mayor, I'm excited to step up and with UFCW

934
00:51:56,840 --> 00:51:59,480
Speaker 5: explore public option grocery stores to.

935
00:51:59,400 --> 00:52:02,880
Speaker 1: Fill those I thought this was funny, buck because it

936
00:52:02,920 --> 00:52:06,600
Speaker 1: directly connects with the conversation we had during the Snap debate,

937
00:52:06,800 --> 00:52:09,920
Speaker 1: which is the argument that she is making about food

938
00:52:09,920 --> 00:52:14,200
Speaker 1: deserts and availability of food has been tested and it

939
00:52:14,239 --> 00:52:19,600
Speaker 1: is just not true. There is no lack of available

940
00:52:20,040 --> 00:52:23,480
Speaker 1: food products that people in different communities want to buy.

941
00:52:23,920 --> 00:52:27,040
Speaker 1: And so this was a talking point probably what twenty

942
00:52:27,200 --> 00:52:30,440
Speaker 1: ten ish and now it's just coming back, even though

943
00:52:30,480 --> 00:52:33,279
Speaker 1: it's been soundly refuted. And I do think the fact

944
00:52:33,320 --> 00:52:39,799
Speaker 1: that government owned grocery stores, again like Cuba, is being

945
00:52:39,960 --> 00:52:43,200
Speaker 1: argued in favor of in both Seattle and New York City.

946
00:52:43,520 --> 00:52:47,719
Speaker 1: Is interesting about the dearth of real ideas motivating the

947
00:52:47,760 --> 00:52:52,680
Speaker 1: Democrat Party right now. They've done this before, as I've

948
00:52:52,680 --> 00:52:56,120
Speaker 1: said this, here you go.

949
00:52:56,280 --> 00:52:59,640
Speaker 4: I was pulling this up giving the poor this from

950
00:52:59,640 --> 00:53:03,200
Speaker 4: the New York Times. Everyone giving the poor easy access

951
00:53:03,239 --> 00:53:06,000
Speaker 4: to healthy food doesn't mean they'll buy it. What a

952
00:53:06,040 --> 00:53:08,920
Speaker 4: shock there. And I'll read you a little bit from this.

953
00:53:08,920 --> 00:53:12,560
Speaker 4: This is twenty fifteen, class a decade ago. In twenty ten,

954
00:53:13,000 --> 00:53:17,000
Speaker 4: the Bronx, this Bronx section is what is called the

955
00:53:17,000 --> 00:53:19,839
Speaker 4: food desert. This Bronx community was a food desert, low

956
00:53:19,880 --> 00:53:23,040
Speaker 4: income neighborhood in New York's least healthy county. No nearby

957
00:53:23,080 --> 00:53:27,400
Speaker 4: grocery store, few places where residents could easily buy fresh food.

958
00:53:27,920 --> 00:53:30,719
Speaker 4: It's the target of a city tax incentive program to

959
00:53:30,840 --> 00:53:36,000
Speaker 4: bring healthy food into underserved neighborhoods. A seventeen thousand square

960
00:53:36,000 --> 00:53:39,880
Speaker 4: foot supermarket opened, aided by city money, paying for forty

961
00:53:39,920 --> 00:53:43,759
Speaker 4: percent of the cost. Neighborhood welcomed the addition, but the

962
00:53:43,800 --> 00:53:51,160
Speaker 4: diets of the neighborhoods residents did not. They don't want

963
00:53:51,200 --> 00:53:55,000
Speaker 4: to buy what coastal elites want them to buy. We

964
00:53:55,080 --> 00:53:57,240
Speaker 4: can go over this this is the New York Times.

965
00:53:57,440 --> 00:54:00,680
Speaker 1: Study after study, we can does this really knock anyone?

966
00:54:00,800 --> 00:54:02,440
Speaker 1: This is kind of funny, isn't it. You sit there,

967
00:54:02,480 --> 00:54:07,400
Speaker 1: you go in under or in low income communities, In

968
00:54:07,480 --> 00:54:11,280
Speaker 1: low income communities, if people have the choice, generally speaking

969
00:54:11,440 --> 00:54:13,600
Speaker 1: talking about broad buying habits, you don't have to call

970
00:54:13,640 --> 00:54:15,600
Speaker 1: me and say, I have a friend who's low income

971
00:54:15,640 --> 00:54:18,520
Speaker 1: and he's running six triathlons. Yeah, okay, I get it.

972
00:54:19,200 --> 00:54:22,560
Speaker 1: Generally speaking, in low income communities, when people have the

973
00:54:22,600 --> 00:54:28,600
Speaker 1: opportunity to buy chips, soda, candy, you know, frozen food

974
00:54:28,640 --> 00:54:31,279
Speaker 1: that they can you know, frozen pizza, whatever, or they

975
00:54:31,280 --> 00:54:37,120
Speaker 1: can buy arugula, free range lean, you know, chicken breasts

976
00:54:37,160 --> 00:54:38,719
Speaker 1: or whatever. Which one are they going to do?

977
00:54:39,640 --> 00:54:41,560
Speaker 4: There's a reason why they sell the food they sell

978
00:54:41,560 --> 00:54:44,040
Speaker 4: in low income communities, because that's what people in those

979
00:54:44,080 --> 00:54:49,040
Speaker 4: communities by. Even when you subsidize so called it or

980
00:54:49,120 --> 00:54:51,680
Speaker 4: not so called it is, even when you subsidize healthier food.

981
00:54:52,560 --> 00:54:54,160
Speaker 1: And so what are you going to do about this?

982
00:54:54,760 --> 00:54:56,920
Speaker 1: You know, you either let people make their own choices

983
00:54:57,000 --> 00:55:00,080
Speaker 1: and eat garbage basically not actual garbage, but you know

984
00:55:00,080 --> 00:55:02,719
Speaker 1: what I mean, neat stuff that's bad for you, or

985
00:55:02,920 --> 00:55:05,520
Speaker 1: you let people, you know, you tell them that this

986
00:55:05,600 --> 00:55:08,440
Speaker 1: is all remember Clay. They're worried about food deserts, but

987
00:55:08,480 --> 00:55:10,960
Speaker 1: the SNAP program has to cover chips and soda. Well,

988
00:55:10,960 --> 00:55:16,760
Speaker 1: which is it? Yes? And the government run grocery stores.

989
00:55:18,239 --> 00:55:23,600
Speaker 1: I just I One of the biggest challenges of capitalism

990
00:55:24,239 --> 00:55:28,040
Speaker 1: is young people who have all of the benefits of

991
00:55:28,160 --> 00:55:34,120
Speaker 1: living in a capitalistic society decide that capitalism doesn't work.

992
00:55:34,600 --> 00:55:37,439
Speaker 1: And it's all one big circle. I feel like we've

993
00:55:37,440 --> 00:55:40,839
Speaker 1: seen this with policing, where people say, oh, you know what,

994
00:55:41,880 --> 00:55:46,600
Speaker 1: being concerned that you have too many violent predators behind

995
00:55:46,719 --> 00:55:50,400
Speaker 1: bars is a luxury of a low crime environment. And

996
00:55:50,440 --> 00:55:53,200
Speaker 1: so you have a low crime environment and people start saying, hey,

997
00:55:53,200 --> 00:55:55,399
Speaker 1: you know what, we need fewer cops, and we need

998
00:55:55,440 --> 00:55:58,720
Speaker 1: fewer people in prisons, and we need more lenient treatment

999
00:55:58,800 --> 00:56:01,400
Speaker 1: of bad guys. And then there's more bad guys on

1000
00:56:01,440 --> 00:56:05,040
Speaker 1: the street. What happens the overall violent crime rate skyrockets.

1001
00:56:05,360 --> 00:56:08,080
Speaker 1: And it would be nice if we could just have

1002
00:56:08,200 --> 00:56:12,080
Speaker 1: public policy that acknowledges what works and what doesn't, And

1003
00:56:12,120 --> 00:56:14,400
Speaker 1: how about we don't try the things that we know

1004
00:56:14,520 --> 00:56:20,840
Speaker 1: don't work. Government funded grocery stores. I just the profit

1005
00:56:20,920 --> 00:56:23,560
Speaker 1: margin on grocery stores. Buck is one or two percent.

1006
00:56:23,600 --> 00:56:26,520
Speaker 1: It's one of the hardest businesses to run. You know.

1007
00:56:26,560 --> 00:56:28,880
Speaker 4: What would really be the test and this would just

1008
00:56:28,880 --> 00:56:32,280
Speaker 4: would go to Mamdanism and everything as well. We should

1009
00:56:32,320 --> 00:56:35,520
Speaker 4: run an experiment, go to one of these supposed Remember

1010
00:56:35,760 --> 00:56:39,239
Speaker 4: it's a food desert. It's also an area where we're

1011
00:56:39,239 --> 00:56:41,440
Speaker 4: gonna be told people are oppressed, and there's all the suppression.

1012
00:56:41,520 --> 00:56:44,160
Speaker 4: It's a low income community, and I'm sure there's systemic

1013
00:56:44,280 --> 00:56:47,520
Speaker 4: racism involved and all this other stuff go into that community.

1014
00:56:47,560 --> 00:56:50,160
Speaker 4: Clay set up a just just let let the grocery

1015
00:56:50,160 --> 00:56:52,279
Speaker 4: store that's there, or let the place where people get

1016
00:56:52,280 --> 00:56:53,640
Speaker 4: their food. A lot of times it's more like a

1017
00:56:53,840 --> 00:56:56,360
Speaker 4: in New York I'm speaking about now, it's more like

1018
00:56:56,400 --> 00:56:58,880
Speaker 4: a convenience store. People will go in and they'll have

1019
00:56:58,920 --> 00:57:01,160
Speaker 4: food there, but they don't have the big aisles like

1020
00:57:01,160 --> 00:57:04,080
Speaker 4: they will in a giant or a food town or

1021
00:57:04,880 --> 00:57:06,480
Speaker 4: you know whatever, a n P. I don't even if

1022
00:57:06,520 --> 00:57:09,640
Speaker 4: that exists anymore, do they? Peace will exist the grocery store.

1023
00:57:09,840 --> 00:57:12,640
Speaker 1: We got Publics, we got Pigley Wigglely, we got Kroger

1024
00:57:12,760 --> 00:57:13,440
Speaker 1: or PUBLICX.

1025
00:57:13,480 --> 00:57:15,480
Speaker 4: I should have said, like I just lost my Florida

1026
00:57:15,520 --> 00:57:17,360
Speaker 4: card for a week. I should have said publics right away,

1027
00:57:17,400 --> 00:57:19,920
Speaker 4: I didn't. Anyway, they don't have something like that necessarily.

1028
00:57:20,400 --> 00:57:23,320
Speaker 4: But you could, honestly, I think offer in the in

1029
00:57:23,360 --> 00:57:25,400
Speaker 4: these same communities, you could offer, not just reduce. You

1030
00:57:25,400 --> 00:57:28,040
Speaker 4: could say, Okay, you can either buy the stuff that

1031
00:57:28,080 --> 00:57:32,160
Speaker 4: we deem in healthy or or we'll give you We'll

1032
00:57:32,200 --> 00:57:35,040
Speaker 4: give you the healthy food free. And I think that

1033
00:57:35,080 --> 00:57:37,120
Speaker 4: people would be shocked to see what the actual result

1034
00:57:37,160 --> 00:57:38,120
Speaker 4: of that experiment is.

1035
00:57:39,680 --> 00:57:42,400
Speaker 1: I think that would be super intriguing. People want to

1036
00:57:42,440 --> 00:57:46,360
Speaker 1: eat what they want to eat, bottom line, And we'll

1037
00:57:46,400 --> 00:57:48,040
Speaker 1: come back. We'll take some of your calls. Still a

1038
00:57:48,040 --> 00:57:51,040
Speaker 1: lot of people weighing in h one be discussion and

1039
00:57:51,040 --> 00:57:54,640
Speaker 1: impressed by the quality of takes there. But I want

1040
00:57:54,680 --> 00:57:57,880
Speaker 1: to tell you what we are a little bit less

1041
00:57:57,920 --> 00:58:02,240
Speaker 1: than six weeks until Chris misbelieve it or not, Thanksgiving

1042
00:58:02,400 --> 00:58:05,520
Speaker 1: is am I correcting this. Fourteen days away, two weeks

1043
00:58:05,520 --> 00:58:08,440
Speaker 1: from today is Thanksgiving. It's going to be here in

1044
00:58:08,480 --> 00:58:11,200
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1045
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1046
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1057
00:59:00,040 --> 00:59:03,680
Speaker 6: The news and politics, but also a little comic relief.

1058
00:59:03,800 --> 00:59:05,760
Speaker 1: Clay Travis at Buck Sexton.

1059
00:59:06,200 --> 00:59:09,520
Speaker 6: Find them on the free iHeartRadio app or wherever you

1060
00:59:09,640 --> 00:59:10,680
Speaker 6: get your podcasts.

1061
00:59:10,840 --> 00:59:13,520
Speaker 4: Welcome back in here too, Play and Buck. You know

1062
00:59:13,560 --> 00:59:16,440
Speaker 4: we important thought that we just had also about the

1063
00:59:16,440 --> 00:59:19,880
Speaker 4: food situation there and the idea of government run grocery stores.

1064
00:59:21,440 --> 00:59:23,920
Speaker 4: There's a lot of lobbying that goes on by Big

1065
00:59:23,960 --> 00:59:28,880
Speaker 4: Agra and the big food companies to make sure that

1066
00:59:29,560 --> 00:59:32,840
Speaker 4: the things that the liberal elites who run these cities

1067
00:59:32,960 --> 00:59:38,200
Speaker 4: don't want the low income communities to be ingesting in

1068
00:59:38,280 --> 00:59:43,160
Speaker 4: those quantities are covered by things like food stamps aka SNAP.

1069
00:59:43,360 --> 00:59:43,560
Speaker 1: Right.

1070
00:59:44,480 --> 00:59:48,360
Speaker 4: Obviously they're renamed because food stamps after a while had

1071
00:59:48,360 --> 00:59:51,160
Speaker 4: picked up something of a negative connotation. It was food welfare,

1072
00:59:52,240 --> 00:59:55,040
Speaker 4: and so they call it SNAP now. But it's the

1073
00:59:55,080 --> 00:59:58,800
Speaker 4: same basic, same basic premise, or it is the same premise.

1074
00:59:59,240 --> 01:00:00,960
Speaker 4: And I think that that that's one aspect of this

1075
01:00:01,080 --> 01:00:03,480
Speaker 4: is that there's a big incentive clay to make people

1076
01:00:03,680 --> 01:00:06,360
Speaker 4: or to encourage people to eat this stuff and for

1077
01:00:06,400 --> 01:00:09,840
Speaker 4: it to be subsidized by the government. And beyond that,

1078
01:00:11,400 --> 01:00:16,440
Speaker 4: I just think what experience with a government entity makes

1079
01:00:16,480 --> 01:00:20,360
Speaker 4: you think that you want the government in charge of

1080
01:00:20,480 --> 01:00:24,120
Speaker 4: stocking and getting the best quality for the dollar. This

1081
01:00:24,240 --> 01:00:25,880
Speaker 4: is actually a really fun question.

1082
01:00:26,160 --> 01:00:28,520
Speaker 1: We'll take it off about how bad the food was

1083
01:00:28,640 --> 01:00:31,680
Speaker 1: in my private high school. It was a scholarship school.

1084
01:00:31,880 --> 01:00:34,960
Speaker 1: It was prison food. My high school should be ashamed

1085
01:00:34,960 --> 01:00:37,280
Speaker 1: at the food that they were making us eat. And

1086
01:00:37,320 --> 01:00:39,920
Speaker 1: that wasn't even the government, Like, I can't imagine what

1087
01:00:40,040 --> 01:00:42,600
Speaker 1: it's like in an actual prison or a state facility.

1088
01:00:42,960 --> 01:00:48,320
Speaker 1: Look the efficiency required to be a profitable grocery store,

1089
01:00:48,520 --> 01:00:51,960
Speaker 1: to say nothing of the competition that must occur for

1090
01:00:52,120 --> 01:00:56,080
Speaker 1: cleanliness and lack of spoilage and all of those things.

1091
01:00:56,440 --> 01:00:59,760
Speaker 1: Kansas City tried this. Remember the story that was out

1092
01:00:59,760 --> 01:01:01,920
Speaker 1: there about Kansas City. They said, hey, we need to

1093
01:01:01,920 --> 01:01:05,680
Speaker 1: have government run grocery stores. They couldn't get produced there

1094
01:01:06,320 --> 01:01:10,240
Speaker 1: in a healthy way, right, It was spoiling. Nobody wanted

1095
01:01:10,280 --> 01:01:14,600
Speaker 1: to shop there. The shelves were mostly empty. It was

1096
01:01:15,000 --> 01:01:19,080
Speaker 1: an unmitigated disaster. Which buck, if you told me, what

1097
01:01:19,120 --> 01:01:22,680
Speaker 1: do you expect a government run grocery store to look like?

1098
01:01:22,960 --> 01:01:25,080
Speaker 1: It is what happened in Kansas City. It's what I

1099
01:01:25,080 --> 01:01:28,560
Speaker 1: would have predicted. And I wish we had trips like

1100
01:01:28,640 --> 01:01:31,680
Speaker 1: field trips so kids could go to Cuba and actually

1101
01:01:31,760 --> 01:01:35,320
Speaker 1: see what the full fruition of a government system that

1102
01:01:35,320 --> 01:01:37,960
Speaker 1: they're supporting now in New York City is like, so

1103
01:01:38,000 --> 01:01:40,120
Speaker 1: that you could understand what it's like to not have

1104
01:01:40,160 --> 01:01:44,640
Speaker 1: air conditioning. Wi Fi never works, government own grocery stores,

1105
01:01:45,040 --> 01:01:47,240
Speaker 1: or everybody stands in line for hours to be able

1106
01:01:47,240 --> 01:01:49,320
Speaker 1: to get a bar of soap, like this is crazy.

1107
01:01:49,760 --> 01:01:56,400
Speaker 4: Civilization is based upon individual incentive. Yes, there's always the

1108
01:01:56,840 --> 01:02:00,680
Speaker 4: group the community that you need, but need people to

1109
01:02:00,760 --> 01:02:04,520
Speaker 4: have their own individual reasons for doing what they're doing,

1110
01:02:04,600 --> 01:02:07,000
Speaker 4: or they're not going to do it. This is why

1111
01:02:07,040 --> 01:02:09,520
Speaker 4: you places like the Soviet Union collapse into it to

1112
01:02:09,520 --> 01:02:13,880
Speaker 4: atalitarian nightmare because there is no incentive for the individuals,

1113
01:02:13,920 --> 01:02:15,280
Speaker 4: and so the only way they make you do what

1114
01:02:15,280 --> 01:02:16,800
Speaker 4: that you're supposed to do is with a gun.

1115
01:02:16,640 --> 01:02:19,280
Speaker 1: In the back of your Head's just brute force.

1116
01:02:19,760 --> 01:02:21,880
Speaker 4: If you want to have a society that functions efficiently

1117
01:02:21,920 --> 01:02:25,280
Speaker 4: and well, people have to benefit. Clay, I want a

1118
01:02:25,320 --> 01:02:29,240
Speaker 4: grocery store where the manager's making six figures. I want

1119
01:02:29,240 --> 01:02:33,000
Speaker 4: a grocery store where the people in charge take pride

1120
01:02:33,000 --> 01:02:36,040
Speaker 4: in what they do. Like you know, it's very straightforward

1121
01:02:36,080 --> 01:02:37,640
Speaker 4: to me, you know, where they take a lot of

1122
01:02:37,680 --> 01:02:40,520
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1123
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1124
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1125
01:02:46,920 --> 01:02:48,840
Speaker 4: Workout formul I'm gonna go to the gym later today

1126
01:02:48,960 --> 01:02:51,160
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1127
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1128
01:02:53,200 --> 01:02:55,040
Speaker 4: a long walk, but also just getting stuff done around

1129
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1130
01:02:56,760 --> 01:03:00,960
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1131
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1132
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1134
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