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Speaker 1: Welcome in Clay, Travis Buck Sexton show.

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Speaker 2: I appreciate all of you hanging out with us. It

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Speaker 2: is the Wednesday before the official start of March Madness.

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Speaker 2: I'll give you a little bit of a teaser here.

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Speaker 1: I am going to be trying to follow the scores

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Speaker 1: on Thursday and Friday of all the games that are

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Speaker 1: going to be going on. Buck is going to have

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Speaker 1: no idea, but he has got his bracket done. I

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Speaker 1: will finish my bracket today and it will be posted

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Speaker 1: at Clay and Buck and there is a fabulous steak

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Speaker 1: dinner on the line between which of us will be.

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Speaker 2: Better at picking games? Putting my money where my mouth

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Speaker 2: is on this one. My bracketology may surprise some of

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Speaker 2: you very much.

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Speaker 1: So, okay, we got a lot that's going on happening

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Speaker 1: in real time here. Trump has just completed a phone

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Speaker 1: call with Zolensky. He talked to Putin yesterday and he

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Speaker 1: just put out a message saying there will be more

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Speaker 1: details on his hour long phone call that will soon

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Speaker 1: be up. As we certainly are hoping that we're going

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Speaker 1: to get a ceasefire and working towards peace in Europe.

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Speaker 1: We will update you on exactly what happened there positive

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Speaker 1: news SpaceX Elon Musk brought back our two astronauts that

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Speaker 1: had been stranded for eight months.

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Speaker 2: I don't know that.

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Speaker 1: We've talked about this, Buck, I don't know how you

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Speaker 1: think you would do with this. I would lose my mind.

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Speaker 1: There are a few things that I could not do.

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Speaker 1: I could not get and I bet we have a

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Speaker 1: bunch of guys and gals who have done this. I

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Speaker 1: could not get on a submarine and go under the

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Speaker 1: water for like six months. I would go completely bonkers

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Speaker 1: and insane.

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Speaker 2: They have to do much too psychological testing because of that,

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Speaker 2: and obviously people think they're not claustrophobic until they're put

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Speaker 2: in a situation where claustrophobia is a real problem. I

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Speaker 2: would lose it. I mean, if you told me, hey,

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Speaker 2: you're going to go underwater for a couple of hours,

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Speaker 2: I think I could do it. If you told me

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Speaker 2: for months, I would lose my mind. I give credit

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Speaker 2: to these astronauts. They thought they were going to space

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Speaker 2: for eight days, and instead they ended up in space

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Speaker 2: for eight months. Whatever you do.

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Speaker 1: Can you imagine if you thought you were going somewhere

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Speaker 1: for eight days and you had to stay for eight months.

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Speaker 1: I think even on Earth many people would lose it

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Speaker 1: over a situation such as that. The fact that we

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Speaker 1: have to rely on Elon Musk to save our astronauts

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Speaker 1: because he's better at sending people to space now and

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Speaker 1: sending rocket ships to space than NASA is both an

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Speaker 1: incredible endorsement of Elon and an absolute indictment of our

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Speaker 1: federal tax dollars and what they have done. He caught

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Speaker 1: up with NASA after they had roughly a seventy year

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Speaker 1: head start on him, and he's now better at that.

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Speaker 2: If you hate Elon all of a sudden, you're a loser. Yeah.

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Speaker 2: I don't know how to put it better than that.

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Speaker 2: This guy is incredible, and what he is trying to

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Speaker 2: do in the government. It's not like he showed up

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Speaker 2: and stuck, you know, stuck himself in the middle of

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Speaker 2: the abortion debate or or even the climate change debate,

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Speaker 2: because he's actually pretty pro climate change movement, right right.

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Speaker 2: He's just trying to help fix the government, which is

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Speaker 2: a mess, and he's the best CEO on the planet,

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Speaker 2: and he's better, as you've said, sending rockets than NASA

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Speaker 2: or any sovereign government. On the planet keeping him. He's

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Speaker 2: better than China, he's better than Russia. And people are

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Speaker 2: burning Tesla's in protest. This has really been catching up this,

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Speaker 2: there's more and more of this.

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Speaker 1: Let us talk about this, because I thought were gonna

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Speaker 1: talk about something else, but but I'm really fired up

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Speaker 1: about this too.

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Speaker 2: And I know you talked about it with yesterday with

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Speaker 2: Will Caine. I was just on Fox News talking about it.

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Speaker 2: You sent me because I I don't know, I'm not

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Speaker 2: we talked about yesterday. You and I are not car guys, right,

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Speaker 2: there are people out there that are. So we are

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Speaker 2: catching some flat for this. By the way, apparently you

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Speaker 2: and I like to get our hair done in the

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Speaker 2: back seat, maybe get our nails filed.

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Speaker 3: You.

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Speaker 2: Yeah, I don't. I'm not a car guy.

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Speaker 1: But I went downstairs yesterday after you sent me the

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Speaker 1: Tesla Suv prices or whatever you texted to me, and

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Speaker 1: I went down and talked to my wife because she's

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Speaker 1: got a big Escalade suv, as many moms do. Because

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Speaker 1: we've got three boys that take up a lot of

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Speaker 1: space and all their gear and all their friends and

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Speaker 1: everything else. So but that car has been it's got

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Speaker 1: over one hundred thousand miles on it. So we've been

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Speaker 1: talking about getting a new car. One of our boys

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Speaker 1: going to go off to college next year, so we've got,

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Speaker 1: you know, some life changes going on. And I said,

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Speaker 1: have you thought about this Tesla a SUV? And so

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Speaker 1: we're going to go look at the Tesla as UV

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Speaker 1: and I'm inclined to buy a Tesla. Buck, fortunate to

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Speaker 1: have the means to be able to buy a car

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Speaker 1: not have to worry about about the cost side.

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Speaker 2: I understand that is not true forever. Can we just

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Speaker 2: throw out there you can get incredible deals on Tesla's

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Speaker 2: right now, That's what you told.

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Speaker 1: Me, Like, I was kind of blown away by how

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Speaker 1: affordable they are. But I want to send a men

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Speaker 1: message that is the opposite of the I'm going to

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Speaker 1: key this vehicle. I'm going to light it on fire,

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Speaker 1: the domestic terrorism that we are seeing everywhere, whatever you

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Speaker 1: think about Elon to your point, Buck, he's trying to

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Speaker 1: save every taxpayer money by locating and eliminating waste and

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Speaker 1: fraud in our federal government. Everyone, this just hit you

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Speaker 1: and I knew this, but the Twitter X stock is

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Speaker 1: now back to the same price that Elon bought it

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Speaker 1: at for both debt purposes and also individual shareholder investments.

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Speaker 1: The SpaceX is worth hundreds of billions of dollars. He's

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Speaker 1: Tesla stock is being attacked, and we'll play some audio

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Speaker 1: with you for you of that, which I think, frankly

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Speaker 1: is despicable. It's one of the most successful American corporations in.

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Speaker 2: The history of the world. I don't know why you

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Speaker 2: would be trying to destroy it when it is like

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Speaker 2: if you're a climate change zealot, which all these people

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Speaker 2: claim to be, there's i'r reually no one who's done

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Speaker 2: more to try to fight the impact of gas powered

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Speaker 2: vehicles than Elon in the history of the world. And

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Speaker 2: so all of this is crazy, and I'm inclined Buck

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Speaker 2: to go buy a Tesla to show support for Elon

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Speaker 2: across the board and stand up against the fire bombings

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Speaker 2: and the terror attacks basically that I believe are occurring

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Speaker 2: against Tesla. Well, this is very important, and we are

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Speaker 2: going to talk about the judicial coup here momentarily. Just

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Speaker 2: you know, we're very on this plan. I've been going

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Speaker 2: back and forth this morning on it. We know what

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Speaker 2: a problem. This is the biggest challenge Trump faces but

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Speaker 2: let's finish this discussion here about Tesla, because I think

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Speaker 2: this really does matter a lot. We used to talk

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Speaker 2: clay under the Biden administration about the parallel economy. Really

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Speaker 2: now we should just be talking about the patriotic economy. Yeah,

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Speaker 2: we have now major companies, major corporations. I can't list

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Speaker 2: them all right now, but you know what they are

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Speaker 2: that have either been built aligned with freedom and pro

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Speaker 2: American values, or in some cases have realigned themselves with

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Speaker 2: pro American values and freedom. And we all make choices

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Speaker 2: every day. And this is not a Crockett coffee ad,

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Speaker 2: but it should be, or it could be, because you should.

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Speaker 2: I mean, we're putting our money where our mouth is

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Speaker 2: on us. We're not just you know, speaking into the

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Speaker 2: ether and not having anything. And people say, well, why

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Speaker 2: are starting coffee. That's just to get the business going.

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Speaker 2: Crockett is going to be a bigger business with a

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Speaker 2: whole range of products and things, but it's aligned with

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Speaker 2: your values, it supports causes you care about. Obviously, Tesla's

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Speaker 2: a you know, a trillion dollar company, so it's on

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Speaker 2: a much much bigger scale. The point here, though, is

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Speaker 2: I think that we all should remember that we used

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Speaker 2: to on the right. And you know, Clay, I've been

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Speaker 2: doing this now for fifteen years and talking about how

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Speaker 2: we're getting kicked in the face by Google, We're getting

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Speaker 2: kicked in the face by Corporate America, We're constantly being

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Speaker 2: mistreated by all these companies. Now the shift has happened,

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Speaker 2: and now you can all decide every day when you can.

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Speaker 2: I know it's not always a choice. I know some

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Speaker 2: of you are going to come at me for still

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Speaker 2: subscribing to Netflix, and I should probably rethink that. But

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Speaker 2: when you have the option to support a company that

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Speaker 2: supports your values, like car companies, I mean, I'm talking

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Speaker 2: about the big ticket items now, not just the everyday consumables.

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Speaker 2: Do you step up and do you make the decision

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Speaker 2: or not? Now I know some of you don't like

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Speaker 2: electric cars, That's fine. I'm just saying there are opportunities now.

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Speaker 2: Carrie and I are thinking about you know, we've had

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Speaker 2: a couple of issues here with the internet in South Florida.

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Speaker 2: As you remember some of you saw I went into

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Speaker 2: the actually was power, not even electricity or not even internet,

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Speaker 2: but I was in the dark during the show. Just

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Speaker 2: everything went off here. But we thought about getting a starlink,

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Speaker 2: and carry said to me, you know what I think

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Speaker 2: is a good idea getting a starlink. And I said

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Speaker 2: to her, yeah, And I want to support Elon's companies

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Speaker 2: because Elon is supporting saving the America that we all

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Speaker 2: want to live in. He's not the only one. All

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Speaker 2: the sponsors on this show. And again, I know this

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Speaker 2: sounds like I'm doing the commercial, but it's not. They

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Speaker 2: all stand with your values. So every time you buy

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Speaker 2: with them, yeah, you're getting a good product. Of course,

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Speaker 2: we have a lot of people that want to partner

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Speaker 2: with us, and we just have no interest in like

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Speaker 2: we won't take money from certain people. We've turned down

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Speaker 2: more business than we've taken overall. The point here is

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Speaker 2: we see that there are opportunities to align your economic

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Speaker 2: activity with your beliefs in the country that you want

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Speaker 2: to live in. And the other side has known this

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Speaker 2: for a long time, and the other side acts out

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Speaker 2: and that's why they're burning Tesla's like Luna. And it's

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Speaker 2: not just the burning Tesla's. You have mainstream clay like

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Speaker 2: MSNBC to whatever degree that's mainstream anchors who are elated

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Speaker 2: that Tesla's stock is down substantially. If you care about

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Speaker 2: climate change, if you care about the environment, if you

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Speaker 2: care about a great American is there a car that

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Speaker 2: is more American made than Tesla? I don't think so.

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Speaker 2: I don't think so. And so if you care about

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Speaker 2: any of those things, why are you praising the By

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Speaker 2: the way, it's a downturn in the stock I would

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Speaker 2: never bet against Elon. I'm just gonna say that. But

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Speaker 2: did you see what I mean is, yeah, this is

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Speaker 2: a moment of choosing for everybody. So I don't think

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Speaker 2: and I think to your point. By the way, Clay

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Speaker 2: for your you got a seventeen year old, right, you've

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Speaker 2: got a seventeen year We're close friends with the neighbors.

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Speaker 2: They've got a seventeen year old boy. They just got

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Speaker 2: him at Tesla. He loves that car, and they love

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Speaker 2: that car. It's super safe, it's aligned with their values,

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Speaker 2: and it can even drive him to school. That's what

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Speaker 2: we're thinking about, because any of you who have ever

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Speaker 2: been a teenage boy, teenage boys are the biggest morons

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Speaker 2: on the planet everyone out there.

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Speaker 1: If you raised one, if you have been one at

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Speaker 1: any point in time, teenage boys make irrational, stupid, decisions

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Speaker 1: more than any I really believe this that are dangerous.

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Speaker 1: Teenage girls also do all sorts of stupid things, I'm sure,

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Speaker 1: but teenage boys actually do things that are more physically

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Speaker 1: dangerous typically than teenage girls. Cars, like, I'm worried about

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Speaker 1: He's got a driver's license, but I'm worried about him

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Speaker 1: as you worry if you have a teenage driver. Anybody does.

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Speaker 1: A Tesla feels like to me these safest vehicles that

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Speaker 1: a young teenage driver could be behind the wheel of.

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Speaker 1: And look, I understand, I mean, a car is a

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Speaker 1: big purchase decision, but look at what they're doing. And

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Speaker 1: your point, I think is a good one, buck, because

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Speaker 1: there are some things that are super third rail controversial.

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Speaker 1: If Elon was like, Hey, I'm going to tell you

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Speaker 1: I believe that we should have partial birth abortions, and

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Speaker 1: I'm just going to dive directly into something like that,

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Speaker 1: I can understande that heat, you get that heat, I understand,

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Speaker 1: But hey, I'm all he's done is try to eliminate

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Speaker 1: wasting fraud in the government. And remember he voted for

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Speaker 1: Joe Biden in twenty twenty against Trump. He voted for

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Speaker 1: Hillary Clinton in twenty sixteen, the idea that this is

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Speaker 1: somehow a far right ideologue.

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Speaker 2: He is just doing. He has woken up. I really

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Speaker 2: believe this and recognize that America is on a perilous path.

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Speaker 2: If we have a thirty six trillion dollar deficit. We

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Speaker 2: have to figure out a way to balance the federal budget,

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Speaker 2: and if we don't, they are going to be incredibly

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Speaker 2: profound consequences for the most important country in the world

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Speaker 2: that is this one. He is legitimately and truly working

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Speaker 2: day in and down. I don't agree with the elan

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Speaker 2: and everything. To be clear, like, there's a lot that

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Speaker 2: I could sit here with and say, you know, I

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Speaker 2: don't necessarily see it that way. But also he is

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Speaker 2: the greatest and most most impressive current CEO living at

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Speaker 2: a time when companies that he is he has built

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Speaker 2: from effectively nothing, have changed the world we live in.

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Speaker 2: They are changing. There is a space, a space spaced

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Speaker 2: economy now that did not exist before. Okay, outer space

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Speaker 2: is now part of economic activity in a way that

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Speaker 2: was not. He's doing all these things, Clay. What he

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Speaker 2: is trying to accomplish, if he is successful, benefits every

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Speaker 2: single American. And I would argue because of the reverberations

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Speaker 2: of the American economy globally really benefits the whole planet. Okay,

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Speaker 2: so these it's not just the Manx landing cars on fire.

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Speaker 2: That's the you know, that's the left wing vanguard, that's

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Speaker 2: the you know, they're lunatics. They've always been lunatics. But

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Speaker 2: the fact that the mainstream Democrat party has now turned

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Speaker 2: anti Elon just goes to show you they'd rather watch

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Speaker 2: us all burned down than allow somebody who likes President

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Speaker 2: Trump to do great things for all of us. And

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Speaker 2: that's like a psychosis. It truly, there's something wrong with

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Speaker 2: these people. If I swear to you, if Elon is

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Speaker 2: trying to do this for Joe Biden, we'd be sitting

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Speaker 2: here being like, look, Biden's an imbecile. I don't like it,

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Speaker 2: you know, But what Elon's doing is pretty good, you

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Speaker 2: know what I mean. Like, I'm telling you, if he

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Speaker 2: was truly trying to cut fat and wait, but the

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Speaker 2: Democrats would never allow that. That's the truth. I agree.

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Speaker 1: And this is going to be, by the way, a

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Speaker 1: story that is going to continue to propel as we

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Speaker 1: move forward. And uh, look, I think all of you

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Speaker 1: out there, we've been saying it for a long time.

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Speaker 2: We build businesses based on it. You should align your

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Speaker 2: purchasing decisions with things that you believe are good for

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Speaker 2: the country. Right, And maybe at some point the whole

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Speaker 2: concept of a parallel economy, Buck will be unnecessary because

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Speaker 2: every company will just say, hey, I want to serve

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Speaker 2: everybody across the entire political spectrum. Evenly we're getting a

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Speaker 2: little bit more of that, but we're not there yet.

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Speaker 2: And Elon's under attack. And I think if you have

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Speaker 2: the ability and the uh and the and the opportunity,

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Speaker 2: I would just look at a Tesla. I really would, Yeah,

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Speaker 2: And they're They're phenomenal in a lot of ways. And

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Speaker 2: by the way, we are not We are not sponsored

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Speaker 2: by Tesla. Get anybody, I really zero, Yes, I would

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Speaker 2: take I would take Tesla money from Uncle Elon and sell.

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Speaker 1: You would be very happy to be Clay and Buck

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Speaker 1: brought to you by Tesla. We've never had a car

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Speaker 1: ad on the whole company in four years, so it's

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Speaker 1: not like we've been you know, like nobody's come and

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Speaker 1: try to buy to buy car Ads that I'm aware of.

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Speaker 2: Somebody who's making an amazing product and ideologically aligned that's

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Speaker 2: like a lot of our that is our sponsorship base here.

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Speaker 2: So speaking of sponsors, let's talk about tax season, Clay,

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Speaker 2: this is gonna stick. Got to pull together all your stuff,

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Speaker 2: you know what I mean, every speech you've given, all

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Speaker 2: the ten ninety nine's, got to make sure you go

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Speaker 2: into your VENMO anything over six hundred dollars. It's also

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Speaker 2: tax scam season. The bad guys get access to your information.

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Speaker 2: Cyber hackers file bogus tax returns, they get your refund

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Speaker 2: and then you're left to content with the irs yourself.

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Speaker 2: It stinks. It's important to understand how you can avoid this, though,

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Speaker 2: because if you know how cybercrime and identity theft are

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Speaker 2: affecting our lives, you can take action. Now. That's why

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Speaker 2: work with a restoration specialist because somebody had taken my

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Speaker 4: Clay Travison, buck Sexton, Mike drops that never sounded so good.

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Speaker 4: Find them on the free iHeartRadio app or wherever you

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Speaker 4: get your podcasts.

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Speaker 1: Welcome back in Clay Travis buck Sexton Show. Okay, let's

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Speaker 1: dive into this, Buck and I'm going to try to

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Speaker 1: talk as both the lawyer and someone who is unhappy

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Speaker 1: with what's going on, which is, by the way, for

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Speaker 1: lawyers not necessarily an uncommon perspective to find yourself in.

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Speaker 1: So we have talked about what the Trump resistance two

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Speaker 1: point oh was going to look like compared to the

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Speaker 1: Trump resistance one point oh.

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Speaker 2: Truck, and I want to see if you agree with

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Speaker 2: this overall thesis, Buck, Trump resistance one point oh was

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Speaker 2: actually prior merely driven by the Democrat Party. They all

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Speaker 2: lined up their media allies in the legacy media.

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Speaker 1: They put Democracy dies in darkness at the top of

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Speaker 1: the Washington Post. They laid out a direct attack. They

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Speaker 1: tried to argue Russia collusion. They had everybody moving in

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Speaker 1: the same direction, the legacy media and the Democrat Party.

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Speaker 1: There now is a void, I would say at both

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Speaker 1: of those places. The Democrats do not really have a leader.

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Speaker 1: They have a lot of squawking from people like Jasmine

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Speaker 1: Crockett and people like even now Tim Wallas will play

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Speaker 1: some audio of you of him for you. Gavin Newsom

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Speaker 1: is kind of floundering around. Kamala Harris has vanished for

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Speaker 1: the meantime. Joe Biden nobody's seen him. There's a leadership

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Speaker 1: void of a substantial level right now at the Democrat Party.

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Speaker 1: Akeem Jefferies is a shadow compared to the power that

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Speaker 1: Nancy Pelosi wielded as the head in the in the House,

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Speaker 1: Chuck Schumer is under siege in the Senate. What has

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Speaker 1: emerged as Trump two point zero challenge is nothing like

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Speaker 1: what we saw with Trump one point zero. Trump two

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Speaker 1: point zero. The challenge is being led by all of

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Speaker 1: these federal district Court judges who are deciding to try

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Speaker 1: to enjoin, that is, stop Trump from doing his presidential

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Speaker 1: actions at a level, frankly, that we have never seen

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Speaker 1: before in terms of what they are trying to stop.

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Speaker 1: And I've got some numbers for you here, Buck, total

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Speaker 1: injunctions that were put in place during George W. Bush's

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Speaker 1: time in office, six three of them were by the

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Speaker 1: opposing party, Barack Obama total injunctions twelve, seven of them

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Speaker 1: came from the opposing part.

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Speaker 2: Because twelve and eight years, correct, these are these are

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Speaker 2: the years, this is their entire tenure. Okay, Joe Biden

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Speaker 2: during his fourteen sorry, during his four year term, fourteen injunctions. Okay,

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Speaker 2: these are tiny numbers we are seeing right now, Buck,

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Speaker 2: numbers that are off the charts even compared to what

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Speaker 2: we saw in the first Trump term. The numbers right now,

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Speaker 2: I believe I have this accurate. This is from our

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Speaker 2: friend Hyatt Libs of TikTok. Ninety six different injunctions that

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Speaker 2: have taken place now against Trump, the vast majority of

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Speaker 2: those injunctions eighty three having been issued by Democrat appointed

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Speaker 2: federal district court judges. Well, here's it's been fifteen in

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Speaker 2: a month, Clay, Yes, in one month. Let me think

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Speaker 2: right about that. Right in a Trump has already been

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Speaker 2: president for four years if you add them all up.

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Speaker 2: This and to give a sense to everybody of what

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Speaker 2: these injunctions cover. And I mentioned this the president of

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Speaker 2: El Salvador, who you would think, and you know, I

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Speaker 2: gotta say, all of Latin America should be looking at

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Speaker 2: this guy and the miracle that he has pulled off

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Speaker 2: in El Salvador and saying, hey, what did he do?

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Speaker 2: How did he accomplish that? But there's not really and

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Speaker 2: certainly the American left should be thinking the same thing.

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Speaker 2: Maybe there's something to learn here about turning a country

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Speaker 2: from an unsafe hellhole into a very safe place where

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Speaker 2: people feel prosperous and happy about the future. Anyway, he

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Speaker 2: said that the US is facing a judicial coup, and

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Speaker 2: I got a lot of attention. I think that's correct, Clay.

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Speaker 2: Four federal judges just this month have ordered the following

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Speaker 2: the reinstatement of all the US AID workers who were fired.

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Speaker 2: Trump having to tell a flight in mid air to

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Speaker 2: return to US airspace and to land here. The blocking

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Speaker 2: of transgender prohibitions in the military. Did you see that

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Speaker 2: that's the latest one reinstatement of Department of Education grants.

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Speaker 2: I mean, this is who's in charge, who runs the

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Speaker 2: federal government. If Trump can't fire anybody and change any

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Speaker 2: discretionary spending done in the executive branch and make any

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Speaker 2: determinations about policy, who's the president well, and this is

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Speaker 2: super important to the Supreme Court, we understand has ultimate

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Speaker 2: authority on the law of the land. It takes five

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Speaker 2: Supreme Court justices to issue a ruling, and that is

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Speaker 2: the rule of the law of the land. Right now,

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Speaker 2: what we have is hundreds of federal district court judges

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Speaker 2: that are throwing themselves in front of Trump's actions. One

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Speaker 2: single judge is trying to overrule the president of the

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Speaker 2: United State. And what they are taking advantage of is

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Speaker 2: an opportunity to try and run out the clock when

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Speaker 2: it comes to the Trump term and power.

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Speaker 1: Because what they know is and we've told you this,

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Speaker 1: and this is why the Trump team is trying to

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Speaker 1: move so fast. You don't know what's going to happen

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Speaker 1: in twenty twenty six, believe it or not, twenty twenty six,

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Speaker 1: the elections are.

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Speaker 2: Going to be here very very soon.

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Speaker 1: And by the time we get to next year, they're

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Speaker 1: going to be trying to really slow down anything that

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Speaker 1: can be passed in Congress at all. And Trump is

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Speaker 1: likely buck to be able to keep the Senate, maybe

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Speaker 1: even expand his majority in the Senate, but we're talking

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Speaker 1: about the House coming down to just a couple of races,

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Speaker 1: and the likelihood right now is it's going to be

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Speaker 1: very hard to maintain a majority in the House, and

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Speaker 1: so they're trying to keep him from getting anything done.

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Speaker 3: Well.

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Speaker 2: This is the single biggest challenge that Trump has to

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Speaker 2: the agenda right now, and it comes from comes from

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Speaker 2: unelected appointed judges who also really suffer no consequences because

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Speaker 2: of their lifetime tenure for completely unprofessional and overreaching judicial dictats.

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Speaker 2: And I think that this is the biggest challenge the

432
00:23:17,600 --> 00:23:21,080
Speaker 2: Trump team faces. They knew this was coming, He already

433
00:23:21,080 --> 00:23:24,440
Speaker 2: went up against this in the first term. But I'm

434
00:23:24,480 --> 00:23:27,520
Speaker 2: not sure that we can count on the Supreme Court

435
00:23:27,600 --> 00:23:32,440
Speaker 2: to give the necessary relief to this process because unfortunately,

436
00:23:32,600 --> 00:23:37,760
Speaker 2: Amy Cony, Barrett and Justice Roberts. Chief Justice Roberts are

437
00:23:38,000 --> 00:23:41,919
Speaker 2: institutionalists at their core, and they believe that there's some

438
00:23:42,920 --> 00:23:46,720
Speaker 2: system that is run by elites that has to be

439
00:23:46,800 --> 00:23:51,199
Speaker 2: protected even when it is not in fact conducive to

440
00:23:51,280 --> 00:23:54,880
Speaker 2: the will of the people. And that's a big challenge.

441
00:23:54,920 --> 00:23:57,560
Speaker 2: This is a major problem that the Trump team faces

442
00:23:57,640 --> 00:24:00,520
Speaker 2: right now. I hope the Supreme Court steps in, but

443
00:24:00,560 --> 00:24:03,720
Speaker 2: the strategy right now is just slow everything down to

444
00:24:03,800 --> 00:24:07,280
Speaker 2: a crawl via judges, and by the time the midterms

445
00:24:07,320 --> 00:24:09,840
Speaker 2: come around, will have thwarted Trump. That's their whole plan.

446
00:24:09,960 --> 00:24:10,760
Speaker 2: They have nothing else.

447
00:24:11,240 --> 00:24:13,800
Speaker 1: Yeah, and I understand a lot of people out there

448
00:24:13,840 --> 00:24:16,600
Speaker 1: because we had to talk so much about the legal

449
00:24:16,640 --> 00:24:19,480
Speaker 1: system with the Trump attacks, whether it was civil, whether

450
00:24:19,560 --> 00:24:22,320
Speaker 1: it was criminal. Let me give you just a thirty

451
00:24:22,400 --> 00:24:26,440
Speaker 1: second rough overview of how this process works. There are

452
00:24:27,119 --> 00:24:29,359
Speaker 1: a team in New York. You can look up the number.

453
00:24:29,440 --> 00:24:32,760
Speaker 1: I think there's something like eight hundred federal district court

454
00:24:32,880 --> 00:24:37,160
Speaker 1: judges in the United States. That's a huge number. These

455
00:24:37,640 --> 00:24:39,479
Speaker 1: judges all have lifetime tenure.

456
00:24:40,040 --> 00:24:43,800
Speaker 2: They work. These federal district court judges as sort of

457
00:24:43,840 --> 00:24:47,760
Speaker 2: the single A if you're a sports fan, the single

458
00:24:47,920 --> 00:24:53,680
Speaker 2: A level of the court system. Their opinions are then

459
00:24:53,720 --> 00:24:58,440
Speaker 2: appealed to the federal district court. And there are thirteen

460
00:24:58,880 --> 00:25:03,360
Speaker 2: federal district courts in the United States. And I used

461
00:25:03,400 --> 00:25:05,359
Speaker 2: to be an expert on this back when I was

462
00:25:05,400 --> 00:25:07,879
Speaker 2: taking the bar exam and studying for it and everything else.

463
00:25:08,200 --> 00:25:12,760
Speaker 2: But the federal district courts will pull together multiple different

464
00:25:12,880 --> 00:25:17,000
Speaker 2: state courts. So you'll have, for instance, in the sixth

465
00:25:17,040 --> 00:25:23,680
Speaker 2: Circuit where I live Tennessee, Kentucky, Ohio is the sixth Circuit,

466
00:25:24,480 --> 00:25:27,000
Speaker 2: ninth Circuit for instance, And again I'm doing this off

467
00:25:27,000 --> 00:25:31,440
Speaker 2: the top of my head, is the West Coast California, Oregon, Washington.

468
00:25:31,480 --> 00:25:35,120
Speaker 2: You guys can correct me if I'm wrong in our

469
00:25:35,200 --> 00:25:37,160
Speaker 2: New York studios. This is why we need a real

470
00:25:37,200 --> 00:25:39,119
Speaker 2: time fact checker to make sure I don't screw all

471
00:25:39,119 --> 00:25:44,000
Speaker 2: this up. You appeal to multiple judges at the circuit

472
00:25:44,040 --> 00:25:48,320
Speaker 2: court level, so an individual judge can make a decision

473
00:25:48,320 --> 00:25:51,320
Speaker 2: at the federal court level, it then can take buck

474
00:25:51,680 --> 00:25:56,400
Speaker 2: months for the federal Circuit court to rule. And then

475
00:25:56,440 --> 00:26:00,240
Speaker 2: above the federal Circuit court is the Supreme Court. And

476
00:26:00,280 --> 00:26:03,600
Speaker 2: there are cases where from the federal district court to

477
00:26:03,680 --> 00:26:07,280
Speaker 2: the Supreme Court we're talking about a year years that

478
00:26:07,359 --> 00:26:09,400
Speaker 2: the pride. This is why I hated being a litigator

479
00:26:09,440 --> 00:26:12,879
Speaker 2: because it was so slow moving and I just wanted

480
00:26:12,880 --> 00:26:16,240
Speaker 2: to go, go go, But they are using the courts

481
00:26:16,640 --> 00:26:21,439
Speaker 2: to try to stop the Trump administration from doing what

482
00:26:21,680 --> 00:26:25,439
Speaker 2: I believe he's been duly elected to undertake. And so

483
00:26:25,520 --> 00:26:29,440
Speaker 2: what you really have is a argument about where does

484
00:26:29,560 --> 00:26:34,960
Speaker 2: executive authority and where does judicial authority? Actually where is

485
00:26:35,040 --> 00:26:38,160
Speaker 2: the line of power? And what these federal district court

486
00:26:38,240 --> 00:26:41,080
Speaker 2: judges are doing is they're gambling that even if they

487
00:26:41,080 --> 00:26:44,480
Speaker 2: get overturned, that they are going to be able to

488
00:26:44,640 --> 00:26:48,880
Speaker 2: slow down the gears of government and keep Trump from

489
00:26:48,920 --> 00:26:53,760
Speaker 2: being able to enact the executive plans that he was

490
00:26:53,760 --> 00:26:56,440
Speaker 2: elected to enact. And so you got all these Democrat

491
00:26:56,600 --> 00:27:00,119
Speaker 2: judges that are basically throwing themselves in front of the

492
00:27:00,119 --> 00:27:02,720
Speaker 2: the train tracks to try to keep the Trump train

493
00:27:02,800 --> 00:27:07,280
Speaker 2: from rolling. That's, I hope, somewhat of an understandable explanation

494
00:27:07,359 --> 00:27:11,480
Speaker 2: for what's going on big picture? Am I too cynical

495
00:27:11,760 --> 00:27:15,080
Speaker 2: about how the Supreme Court is going to play into this?

496
00:27:15,400 --> 00:27:18,919
Speaker 2: Do do you have more hope than me? Come on,

497
00:27:19,000 --> 00:27:19,639
Speaker 2: lawyer Clay.

498
00:27:20,960 --> 00:27:23,720
Speaker 1: So I was actually, I would say optimistic, and I

499
00:27:23,800 --> 00:27:26,639
Speaker 1: think I ended up being optimistic for a good reason

500
00:27:26,640 --> 00:27:29,280
Speaker 1: as it pertained to Hunter Biden and whether they were

501
00:27:29,280 --> 00:27:31,320
Speaker 1: going to let him get off scott free. And thanks

502
00:27:31,320 --> 00:27:34,240
Speaker 1: to Judge Mizelle, if I remember her name correctly in Delaware,

503
00:27:34,320 --> 00:27:39,840
Speaker 1: that didn't happen. I am very skeptical that Roberts in

504
00:27:39,920 --> 00:27:43,000
Speaker 1: particular is going to be very helpful of Trump.

505
00:27:43,119 --> 00:27:44,480
Speaker 2: Now, they were.

506
00:27:45,119 --> 00:27:49,480
Speaker 1: Very helpful of Trump on presidential powers as it pertained

507
00:27:49,520 --> 00:27:51,840
Speaker 1: to the charges that were brought against him. But the

508
00:27:51,920 --> 00:27:55,160
Speaker 1: problem you run into here is Trump's only got three

509
00:27:55,160 --> 00:27:56,520
Speaker 1: and a half years here.

510
00:27:56,680 --> 00:27:59,439
Speaker 2: And here's the other thing that was even though it

511
00:27:59,480 --> 00:28:01,960
Speaker 2: was Trump, and so that blinded all the Libs, that

512
00:28:02,080 --> 00:28:06,840
Speaker 2: was certainly institutionalist in nature, meaning yes, they understood if

513
00:28:06,880 --> 00:28:09,800
Speaker 2: you can prosecute a president for things he does as president,

514
00:28:09,840 --> 00:28:14,240
Speaker 2: you don't like the whole system collapse relies for every

515
00:28:14,400 --> 00:28:18,199
Speaker 2: president it years into the future, right in two terms,

516
00:28:18,240 --> 00:28:20,680
Speaker 2: when it's President so and so and the Democrats freak

517
00:28:20,720 --> 00:28:22,600
Speaker 2: out and they start prosecuting him again, I mean, the

518
00:28:22,640 --> 00:28:26,240
Speaker 2: whole system starts to collapse on itself. In this case,

519
00:28:26,359 --> 00:28:29,280
Speaker 2: it's not that you should, you know, wipe away the

520
00:28:29,280 --> 00:28:32,879
Speaker 2: federal judges or anything the judiciary. It's that there needs

521
00:28:32,920 --> 00:28:36,600
Speaker 2: to be a willingness to strike down the overreach that

522
00:28:36,680 --> 00:28:41,000
Speaker 2: has become systematic and intentional to undermine the executive branch

523
00:28:41,320 --> 00:28:44,840
Speaker 2: at its core. I don't know. You know, I don't

524
00:28:44,880 --> 00:28:47,760
Speaker 2: know how they see that. I you know, Amy Cony,

525
00:28:47,760 --> 00:28:50,960
Speaker 2: Barrett good on abortion, bad on pretty much a lot

526
00:28:50,960 --> 00:28:54,840
Speaker 2: of other things. So here's the challenge illegallybuck and this

527
00:28:54,920 --> 00:28:57,640
Speaker 2: is why I think they're having some success. A lot

528
00:28:57,680 --> 00:29:01,920
Speaker 2: of this is fact based determination, meaning where exactly the

529
00:29:01,960 --> 00:29:07,000
Speaker 2: line is drawn between presidential authority and judicial action is

530
00:29:07,360 --> 00:29:10,640
Speaker 2: somewhat complicated. I liked Steven Miller yesterday we played the

531
00:29:10,640 --> 00:29:15,000
Speaker 2: audio where he said, clearly a federal circuit district court

532
00:29:15,080 --> 00:29:18,840
Speaker 2: judge can't stop the president from moving as commander in

533
00:29:18,960 --> 00:29:23,560
Speaker 2: chief brigades around overseas. The only thing that a federal

534
00:29:23,600 --> 00:29:26,560
Speaker 2: judge can't do, apparently, is stop a president from starting

535
00:29:26,560 --> 00:29:30,280
Speaker 2: a war. Okay, well, I'm glad to know that that's there.

536
00:29:30,400 --> 00:29:32,720
Speaker 1: But it is significant. They said that the plane was

537
00:29:32,760 --> 00:29:37,320
Speaker 1: already in international waters. The federal district court judge a

538
00:29:37,400 --> 00:29:42,520
Speaker 1: jurisdiction does not extend by and large to international decisions

539
00:29:42,560 --> 00:29:45,200
Speaker 1: made by the president of the United States. But does

540
00:29:45,240 --> 00:29:49,280
Speaker 1: it extend to all of these minute different details? Easy answer,

541
00:29:49,360 --> 00:29:53,160
Speaker 1: We don't know. I don't believe so. But asking the

542
00:29:53,240 --> 00:29:54,920
Speaker 1: courts to have to shepherd all of.

543
00:29:54,880 --> 00:29:58,560
Speaker 2: This and determine all of it is very complicated and

544
00:29:58,600 --> 00:30:01,760
Speaker 2: the ultimate goal is to stop. They just want they

545
00:30:02,040 --> 00:30:04,560
Speaker 2: they don't really care. They just remember when Biden said,

546
00:30:04,560 --> 00:30:08,160
Speaker 2: Bucket was very telling, I can't do this, but I'm

547
00:30:08,200 --> 00:30:10,240
Speaker 2: going to do it anyway because it's going to take

548
00:30:10,280 --> 00:30:13,240
Speaker 2: the Supreme Court a while to rule on it. That's

549
00:30:13,280 --> 00:30:15,840
Speaker 2: basically this, just like the obamaism. I've got a pen

550
00:30:15,920 --> 00:30:18,120
Speaker 2: and a phone, go around Congress. That's what that meant.

551
00:30:18,120 --> 00:30:19,840
Speaker 2: He was going around Congress even though he didn't have

552
00:30:19,880 --> 00:30:21,360
Speaker 2: the authority to do it. But it was great when

553
00:30:21,440 --> 00:30:24,000
Speaker 2: Obama did it. They told us, all right, look, there's

554
00:30:24,040 --> 00:30:27,240
Speaker 2: a nonprofit organization out there, Preborn, that is doing amazing

555
00:30:27,320 --> 00:30:30,720
Speaker 2: work every day saving the lives of unborn children. They've

556
00:30:30,720 --> 00:30:32,880
Speaker 2: been at this for decades. And what they do at

557
00:30:32,880 --> 00:30:36,000
Speaker 2: Preborn is they locate their clinics in places where there

558
00:30:36,000 --> 00:30:38,480
Speaker 2: are far too many abortions happening day in and day out.

559
00:30:38,520 --> 00:30:41,400
Speaker 2: It's tragic. What they do is they welcome pregnant moms

560
00:30:41,760 --> 00:30:45,360
Speaker 2: who are deciding between life or abortion for their unborn child,

561
00:30:45,600 --> 00:30:48,640
Speaker 2: and they give them love and support, no judgment. They

562
00:30:48,760 --> 00:30:52,040
Speaker 2: just want to introduce them to their baby via ultrasound.

563
00:30:52,040 --> 00:30:55,280
Speaker 2: That ultrasound experience so often is a game changer. It

564
00:30:55,360 --> 00:31:00,000
Speaker 2: makes that emotional connection between mother and child. Preborn has

565
00:31:00,120 --> 00:31:03,400
Speaker 2: save three hundred thousand babies to date in this way

566
00:31:03,520 --> 00:31:06,920
Speaker 2: over their twenty years. When you make a donation to Preborn,

567
00:31:07,280 --> 00:31:11,160
Speaker 2: your gift provides for that ultrasound. Preborn gets no government funding.

568
00:31:11,360 --> 00:31:14,160
Speaker 2: It is you, the pro life community, stepping up to

569
00:31:14,280 --> 00:31:17,440
Speaker 2: save the lives of tiny babies and to help this

570
00:31:17,480 --> 00:31:21,640
Speaker 2: country build beautiful families going forward. Twenty eight dollars is

571
00:31:21,840 --> 00:31:24,600
Speaker 2: just the cost of an ultrasound, and that may figure

572
00:31:24,640 --> 00:31:27,120
Speaker 2: into a monthly donation that you can make. A twenty

573
00:31:27,160 --> 00:31:29,760
Speaker 2: eight dollars donation would cover an ultrasound, and if you

574
00:31:29,800 --> 00:31:31,760
Speaker 2: can set it up to do twenty eight dollars a month,

575
00:31:32,160 --> 00:31:35,040
Speaker 2: you will be helping this incredibly important mission. It is

576
00:31:35,160 --> 00:31:39,400
Speaker 2: tax deductible one hundred percent. Donate securely by dialing pound

577
00:31:39,400 --> 00:31:43,840
Speaker 2: two fifty say the keyword baby. That's pound two five

578
00:31:43,960 --> 00:31:47,200
Speaker 2: zero say baby, or visit preborn dot com, slash Buck,

579
00:31:47,520 --> 00:31:51,720
Speaker 2: Preborn dot com, slash b u c K sponsored by Preborn.

580
00:31:52,360 --> 00:31:55,160
Speaker 4: Cheek out with the guys on the Sunday Hang with

581
00:31:55,320 --> 00:31:58,720
Speaker 4: Clay and Buck podcast. A new episode of Every Sunday

582
00:31:58,840 --> 00:32:02,040
Speaker 4: Find It on the iHeart or wherever you get your podcasts.

583
00:32:02,200 --> 00:32:05,520
Speaker 2: We are joined by our friend Mirinda Devine. She has

584
00:32:05,800 --> 00:32:09,640
Speaker 2: books like Laptop from Hell and The Big Guy. Got

585
00:32:09,640 --> 00:32:11,200
Speaker 2: a great piece at the New York Post as well,

586
00:32:11,200 --> 00:32:16,040
Speaker 2: where she's a columnist on the secret Service situation with

587
00:32:16,120 --> 00:32:21,520
Speaker 2: the Bidens. The Irs whistleblowers, so much more to talk about, Miranda,

588
00:32:21,560 --> 00:32:26,960
Speaker 2: thanks for being here. Let's start with this. The Irs

589
00:32:27,040 --> 00:32:30,360
Speaker 2: whistleblowers who are the ones investigating Hunter Biden. And you

590
00:32:30,520 --> 00:32:32,840
Speaker 2: were all over that story, as we know, and this

591
00:32:32,960 --> 00:32:37,040
Speaker 2: audience will remember you from that. They were initially ostracized.

592
00:32:37,120 --> 00:32:40,840
Speaker 2: They have gotten quite a promotion under Trump. Tell us

593
00:32:40,840 --> 00:32:41,680
Speaker 2: what's going on here?

594
00:32:42,920 --> 00:32:47,800
Speaker 3: Yeah, high claim, but this is absolutely fantastic news, and really,

595
00:32:47,840 --> 00:32:50,760
Speaker 3: I think the first vindication that we've seen in the

596
00:32:50,800 --> 00:32:54,760
Speaker 3: Trump administration of these valiant whistle blowers. There were a

597
00:32:54,840 --> 00:32:57,840
Speaker 3: number of them who stuck their head up above the

598
00:32:57,880 --> 00:33:02,840
Speaker 3: parapet to warn the American people about various malfeasances under

599
00:33:03,280 --> 00:33:08,160
Speaker 3: Joe Biden. And these two guys are IRS investigators, Gary

600
00:33:08,240 --> 00:33:12,040
Speaker 3: Shapley and Joe Ziegler. They were the ones who kaibo

601
00:33:12,080 --> 00:33:16,040
Speaker 3: washed the Hunter Biden sweetheart deal on his tax crimes

602
00:33:16,480 --> 00:33:21,360
Speaker 3: and that was two years since they've been ostracized and

603
00:33:21,400 --> 00:33:26,680
Speaker 3: retaliated against by their superiors in the IRS, and so

604
00:33:27,400 --> 00:33:32,200
Speaker 3: Scott Bessant, the Treasury Secretary, has just jumped in promoted

605
00:33:32,320 --> 00:33:36,880
Speaker 3: both of them to important positions, first of all as

606
00:33:37,040 --> 00:33:41,680
Speaker 3: senior advisors in his office helping guide the reform of

607
00:33:41,760 --> 00:33:45,160
Speaker 3: the IRS that's going to be pretty radical. And then

608
00:33:45,360 --> 00:33:48,880
Speaker 3: after one year they will go back into the agency

609
00:33:49,200 --> 00:33:54,880
Speaker 3: in very senior leadership positions. And in fact, just today

610
00:33:55,400 --> 00:33:58,800
Speaker 3: Scott Bessant has said that Gary Shapley, who was the

611
00:33:58,880 --> 00:34:02,960
Speaker 3: senior supervisor agent on the Hunter Biden case, he will

612
00:34:03,000 --> 00:34:07,560
Speaker 3: be the deputy head of Criminal Investigations at the IRN.

613
00:34:09,560 --> 00:34:12,000
Speaker 2: There's a lot going on, Miranda. It's like every day

614
00:34:12,000 --> 00:34:13,760
Speaker 2: I got to keep your head on a swivel.

615
00:34:14,360 --> 00:34:19,680
Speaker 1: But even when it comes to crazy levels of insane corruption,

616
00:34:20,120 --> 00:34:23,000
Speaker 1: were you blown away by how many people were protecting

617
00:34:23,080 --> 00:34:26,120
Speaker 1: Hunter Biden? Because Buck and I when we had this

618
00:34:26,200 --> 00:34:29,360
Speaker 1: conversation on the show, I mean, I was in disbelief,

619
00:34:29,840 --> 00:34:31,719
Speaker 1: to say nothing of the fact that he's going on

620
00:34:31,840 --> 00:34:36,919
Speaker 1: luxurious vacations to South Africa while he's claiming poverty here

621
00:34:36,960 --> 00:34:41,480
Speaker 1: in the United States. And I'm glad by the way

622
00:34:41,520 --> 00:34:44,960
Speaker 1: that the Trump administration has pulled the protection of Hunter Biden.

623
00:34:45,320 --> 00:34:48,520
Speaker 1: But even with the understanding of how much craziness and

624
00:34:49,400 --> 00:34:52,160
Speaker 1: wasted funds there are in the federal government, did it

625
00:34:52,200 --> 00:34:55,240
Speaker 1: astound you how big the security detail was for Hunter Biden?

626
00:34:57,280 --> 00:35:01,520
Speaker 3: Not really, because I have seen him right for instance,

627
00:35:01,680 --> 00:35:04,799
Speaker 3: last summer when he was in court in Delaware, in

628
00:35:04,880 --> 00:35:09,200
Speaker 3: Wilmington over these gun felonies that he was convicted on.

629
00:35:09,600 --> 00:35:14,640
Speaker 3: Every day he would arrive in a gigantic motorcade you know,

630
00:35:14,920 --> 00:35:20,279
Speaker 3: of black Secret Service cadillacs with you know, I don't know.

631
00:35:20,320 --> 00:35:24,279
Speaker 3: It seemed like vast armies. Donald Trump has said there

632
00:35:24,280 --> 00:35:28,160
Speaker 3: were eighteen Secret Service agents with him in South Africa.

633
00:35:28,200 --> 00:35:32,080
Speaker 3: That kind of makes sense because he has two agents

634
00:35:32,120 --> 00:35:35,800
Speaker 3: assigned to him. His wife, Melissa Cohen, has two agents,

635
00:35:35,800 --> 00:35:39,680
Speaker 3: so that's four. You've got three shifts of eight hours,

636
00:35:39,960 --> 00:35:43,000
Speaker 3: so you're already up to twelve and then you know

637
00:35:43,040 --> 00:35:45,400
Speaker 3: you've got to have extras because they can't be expected

638
00:35:45,400 --> 00:35:47,359
Speaker 3: to work seven days a week. So it kind of

639
00:35:47,400 --> 00:35:50,400
Speaker 3: makes sense that eighteen agents would have flown over to

640
00:35:50,480 --> 00:35:54,440
Speaker 3: South Africa. We're told by Garrett Ziegler from Marc Popolo,

641
00:35:54,520 --> 00:35:59,760
Speaker 3: who's had a private eye following following Hunter Biden because

642
00:36:00,040 --> 00:36:04,000
Speaker 3: Hunter Biden suing him and he wanted to find out

643
00:36:04,000 --> 00:36:07,160
Speaker 3: if Hunter Biden was sort of flouting at the court

644
00:36:07,280 --> 00:36:14,040
Speaker 3: orders and he Garrett Siegeler has said that Hunter Biden

645
00:36:14,120 --> 00:36:17,960
Speaker 3: is spending ninety days in Cape Town with his wife,

646
00:36:18,040 --> 00:36:19,080
Speaker 3: Melissa Cohen, who.

647
00:36:19,000 --> 00:36:21,880
Speaker 2: Was born for how many days?

648
00:36:22,840 --> 00:36:24,080
Speaker 3: Ninety three months?

649
00:36:24,360 --> 00:36:27,000
Speaker 2: For really, I mean, this is crazy buck.

650
00:36:28,239 --> 00:36:30,959
Speaker 3: And what's he having a vacation from? Because he never

651
00:36:31,200 --> 00:36:36,080
Speaker 3: does anything. He's a proper job since he first left

652
00:36:36,200 --> 00:36:38,880
Speaker 3: university and he went and worked in one of his

653
00:36:38,960 --> 00:36:45,640
Speaker 3: father's you know, donors in Delaware, m NBA or MBNA,

654
00:36:45,880 --> 00:36:48,359
Speaker 3: which is a big credit card company that gave him

655
00:36:49,000 --> 00:36:51,680
Speaker 3: a job on an inflated salary that he would not

656
00:36:51,760 --> 00:36:54,359
Speaker 3: have had if he hadn't been Joe Biden's son. And

657
00:36:54,600 --> 00:36:57,640
Speaker 3: he was bored with that, so he just walked away

658
00:36:57,640 --> 00:37:00,600
Speaker 3: from it. And ever since, he's just griffed off his

659
00:37:00,719 --> 00:37:01,399
Speaker 3: father's name.

660
00:37:02,560 --> 00:37:05,800
Speaker 2: How is the Biden brand doing for the griff these days? Miranda?

661
00:37:05,880 --> 00:37:08,000
Speaker 2: We had a sad story that we had to bring

662
00:37:08,040 --> 00:37:11,719
Speaker 2: to this audience that if any of our listeners had

663
00:37:11,760 --> 00:37:17,479
Speaker 2: purchased a Hunter Biden oil painting, unfortunately the value does

664
00:37:17,520 --> 00:37:19,240
Speaker 2: not seem to have skyrocketed.

665
00:37:21,239 --> 00:37:24,480
Speaker 3: Yes, I know it's funny, isn't it. How as soon

666
00:37:24,520 --> 00:37:30,120
Speaker 3: as Joe Biden lost power, Hunter Biden suddenly broke He

667
00:37:30,239 --> 00:37:34,320
Speaker 3: can't sell his paintings. No one's buying his awful book.

668
00:37:35,080 --> 00:37:37,839
Speaker 3: Funny about that, And they're not giving him jobs oligarchs

669
00:37:37,880 --> 00:37:41,040
Speaker 3: and not offering him millions of dollars to do nothing.

670
00:37:41,600 --> 00:37:45,280
Speaker 3: So he's now crying poor. And he told the court

671
00:37:45,360 --> 00:37:49,400
Speaker 3: in California that he couldn't continue with his lawsuit against

672
00:37:49,840 --> 00:37:53,360
Speaker 3: Garrett Ziegler and Marco Polo because he just didn't have

673
00:37:53,400 --> 00:37:56,040
Speaker 3: the funds to pay lawyer, which sort of made sense

674
00:37:56,200 --> 00:37:59,879
Speaker 3: because Abby Lowell is a pretty expensive lawyer who sort

675
00:37:59,880 --> 00:38:05,319
Speaker 3: of marshaled all his court cases while Joe Biden was

676
00:38:05,440 --> 00:38:09,120
Speaker 3: vice president. But after the pardon, he seemed to vanish

677
00:38:09,120 --> 00:38:11,560
Speaker 3: from the scene. And I remember being in court one

678
00:38:11,600 --> 00:38:15,120
Speaker 3: time at Abbey Lole was complaining busily about, you know,

679
00:38:15,560 --> 00:38:19,960
Speaker 3: being short on resources. So and that was after Kevin Morris,

680
00:38:20,000 --> 00:38:24,000
Speaker 3: the Sugar brother, the other lawyer from Hollywood, had said

681
00:38:24,040 --> 00:38:27,840
Speaker 3: that he was closing his wallet to Hunter after having

682
00:38:28,040 --> 00:38:32,200
Speaker 3: funded his lifestyle for so many years and also paying

683
00:38:32,200 --> 00:38:35,759
Speaker 3: off about six million dollars in his tax debts to

684
00:38:35,800 --> 00:38:39,200
Speaker 3: the irs. So Kevin Morris has had enough. He's not

685
00:38:39,560 --> 00:38:41,919
Speaker 3: spending any more money. And so Hunter had to pay

686
00:38:41,920 --> 00:38:45,080
Speaker 3: for his own lawyers, so maybe he stopped paying them

687
00:38:45,080 --> 00:38:49,320
Speaker 3: because they didn't show up in California that the judge

688
00:38:49,360 --> 00:38:51,400
Speaker 3: I think the court had sent out an app And

689
00:38:51,480 --> 00:38:54,280
Speaker 3: finally Abby Lole popped up and said, oh, I've always

690
00:38:54,320 --> 00:38:56,759
Speaker 3: been working for Hunter Biden, but he had not, he

691
00:38:56,800 --> 00:38:59,800
Speaker 3: had disappeared. So now he's back on the scene. And

692
00:39:00,440 --> 00:39:03,879
Speaker 3: you know, the money just ratchets up every hour that

693
00:39:03,880 --> 00:39:07,080
Speaker 3: that guy gets paid. And Hunter Biden is saying he

694
00:39:07,120 --> 00:39:09,160
Speaker 3: doesn't have the money, so maybe he doesn't.

695
00:39:09,960 --> 00:39:13,760
Speaker 2: We're talking to Miranda Divine. I can't get over ninety

696
00:39:13,840 --> 00:39:17,520
Speaker 2: day vacation to South Africa. I mean, look at any

697
00:39:17,520 --> 00:39:20,640
Speaker 2: ideas Clay no ninety day vacations on this show, Sir.

698
00:39:21,040 --> 00:39:24,080
Speaker 1: I I just he doesn't have an actual job, Like

699
00:39:24,160 --> 00:39:27,279
Speaker 1: what is he vacationing from? Like this is like how

700
00:39:27,280 --> 00:39:29,360
Speaker 1: many people get to go on a three month African

701
00:39:29,440 --> 00:39:33,320
Speaker 1: safari basically from not having a job in the first place,

702
00:39:33,360 --> 00:39:36,200
Speaker 1: Like how does he need to be able to rest

703
00:39:36,200 --> 00:39:37,040
Speaker 1: and rehabilitate?

704
00:39:37,920 --> 00:39:41,319
Speaker 2: But I will say, how much difference is it?

705
00:39:41,400 --> 00:39:44,680
Speaker 1: For you, Miranda, and in just this world that we

706
00:39:44,719 --> 00:39:48,040
Speaker 1: live in now to instead of when you're writing articles

707
00:39:48,120 --> 00:39:51,880
Speaker 1: during the Biden administration, everyone says, oh, that's made up,

708
00:39:52,000 --> 00:39:55,080
Speaker 1: Oh that's not true. To win the New York Post

709
00:39:55,160 --> 00:39:58,680
Speaker 1: article that you wrote about Hunter Biden's Secret Service detail

710
00:39:58,719 --> 00:40:01,520
Speaker 1: following him to Africa, the Trump team reads it and

711
00:40:01,560 --> 00:40:04,200
Speaker 1: they're like, yeah, that's over, We're pulling that.

712
00:40:04,200 --> 00:40:05,160
Speaker 2: That has to feel.

713
00:40:05,000 --> 00:40:07,200
Speaker 1: Amazing to be able to know that you're doing good

714
00:40:07,239 --> 00:40:12,360
Speaker 1: investigative journalism, and not only is it being widely distributed

715
00:40:12,360 --> 00:40:14,400
Speaker 1: through the New York Post, which I believe deserves all

716
00:40:14,440 --> 00:40:17,440
Speaker 1: the Pulitzers that the what New York Times and the

717
00:40:17,520 --> 00:40:20,960
Speaker 1: Washington Post actually got for Russia collusion for what you

718
00:40:21,000 --> 00:40:25,480
Speaker 1: wrote about the Hunter Biden laptops. But how much better

719
00:40:25,520 --> 00:40:28,960
Speaker 1: does it feel to know that that whatever you produce

720
00:40:29,200 --> 00:40:32,080
Speaker 1: can be acted upon and often will be acted upon

721
00:40:32,200 --> 00:40:33,120
Speaker 1: by the White House.

722
00:40:34,800 --> 00:40:37,719
Speaker 3: Well, I just have to put in one caveat it

723
00:40:37,760 --> 00:40:41,560
Speaker 3: wasn't really my investigative prowess that got this story. It

724
00:40:41,640 --> 00:40:46,080
Speaker 3: was actually Garrett Ziegler and micro Polo with their private investigator,

725
00:40:46,120 --> 00:40:49,480
Speaker 3: who gave the photographs to Laura Luma, who then very

726
00:40:49,600 --> 00:40:53,120
Speaker 3: kindly said that I could use them. So you know,

727
00:40:53,200 --> 00:40:55,200
Speaker 3: I didn't really do a hell of a lot myself,

728
00:40:55,200 --> 00:40:59,120
Speaker 3: other than I talked to or tried to get the

729
00:40:59,160 --> 00:41:02,960
Speaker 3: White House to rest fond and also the Department of

730
00:41:02,960 --> 00:41:06,440
Speaker 3: Homeland Security and also the Secret Service, and I have

731
00:41:06,520 --> 00:41:09,160
Speaker 3: to say they all went to ground. They were not

732
00:41:09,280 --> 00:41:12,319
Speaker 3: at all helpful. They sort of tried to gaslight me

733
00:41:12,400 --> 00:41:16,400
Speaker 3: in the beginning. Finally, way past my deadline, the Secret

734
00:41:16,480 --> 00:41:20,759
Speaker 3: Service spokesman gave me a quote that said, well, we

735
00:41:20,840 --> 00:41:24,480
Speaker 3: can't go into methods and blah blah, but we can

736
00:41:24,760 --> 00:41:29,200
Speaker 3: confirm that Hunter Biden is a protectee. So I published

737
00:41:29,200 --> 00:41:33,719
Speaker 3: that quote, published the story. There's outrage. Our reporters in

738
00:41:34,000 --> 00:41:37,200
Speaker 3: Washington tried to get a question in at the White

739
00:41:37,200 --> 00:41:40,439
Speaker 3: House press conference but were not called upon. And then

740
00:41:40,760 --> 00:41:44,000
Speaker 3: later that day in a gaggle I think at Air

741
00:41:44,040 --> 00:41:47,840
Speaker 3: Force One, it was I think a Washington Times reporter

742
00:41:48,360 --> 00:41:53,760
Speaker 3: actually asked the President about the Hunter Biden eighteen strong

743
00:41:53,880 --> 00:41:59,959
Speaker 3: security Secret Service detail in Cape Town, and Donald Trump

744
00:42:00,040 --> 00:42:04,000
Speaker 3: said I haven't heard that before, which I mean, maybe

745
00:42:04,239 --> 00:42:08,080
Speaker 3: that's the case. He's very busy, and he said, well,

746
00:42:08,200 --> 00:42:10,520
Speaker 3: I mean eighteen that sounds excessive, and I'm going to

747
00:42:10,520 --> 00:42:12,960
Speaker 3: look at that this afternoon, and sure enough, he then

748
00:42:13,320 --> 00:42:17,480
Speaker 3: pulled not only the eighteen agents that were with Hunter

749
00:42:17,560 --> 00:42:22,680
Speaker 3: Biden in Cape Town, but also thirteen agents he said

750
00:42:22,920 --> 00:42:28,239
Speaker 3: were assigned to Ashley Biden, who's Joe Biden's daughter, the

751
00:42:28,280 --> 00:42:31,160
Speaker 3: only daughter he has with your only child with Joe Biden,

752
00:42:31,400 --> 00:42:36,880
Speaker 3: Hunter Biden's half sister. And you know, neither Ashley Biden

753
00:42:36,920 --> 00:42:41,760
Speaker 3: nor Hunter Biden were eligible to have Secret Service protection

754
00:42:41,920 --> 00:42:45,560
Speaker 3: after Joe Biden's term ended. It's only the children of

755
00:42:45,640 --> 00:42:49,120
Speaker 3: former presidents up to the age of sixteen, So there

756
00:42:49,200 --> 00:42:52,400
Speaker 3: was some And apparently what I was told off the

757
00:42:52,440 --> 00:42:57,080
Speaker 3: record was that Joe Biden made an executive memo before

758
00:42:57,120 --> 00:43:01,080
Speaker 3: he left office to extend Secret Service protection for his

759
00:43:01,239 --> 00:43:05,279
Speaker 3: adult children indefinitely, and nobody in the Trump administration had

760
00:43:05,320 --> 00:43:09,520
Speaker 3: stepped in to stop that until Donald Trump did, until

761
00:43:09,920 --> 00:43:15,239
Speaker 3: we amplified the work of Laura Lumer and Marco Poland all.

762
00:43:15,200 --> 00:43:17,160
Speaker 2: Right, I've got a question for you, Miranda. I don't

763
00:43:17,160 --> 00:43:18,880
Speaker 2: know if you saw, but I'm going to be traveling

764
00:43:18,920 --> 00:43:21,719
Speaker 2: on Air Force one with President Trump this weekend to

765
00:43:21,800 --> 00:43:26,480
Speaker 2: go to the nc DOUBA wrestling tournaments. Question for you, two, Oh,

766
00:43:26,560 --> 00:43:27,840
Speaker 2: you're going to be there, You're going to be on

767
00:43:27,880 --> 00:43:28,440
Speaker 2: the plane.

768
00:43:29,080 --> 00:43:30,360
Speaker 3: No, I'm not going to be on the plane, but

769
00:43:30,400 --> 00:43:33,960
Speaker 3: I'm going to be at the tournament with Tony bob Lynsky,

770
00:43:34,000 --> 00:43:35,759
Speaker 3: who's one of the other brilliant wiskele blowers in the

771
00:43:35,840 --> 00:43:36,600
Speaker 3: Hunter Biden case.

772
00:43:36,920 --> 00:43:39,319
Speaker 2: I didn't feel left out before, Miranda, But you and

773
00:43:39,400 --> 00:43:43,320
Speaker 2: Clay taking tequila shots while watching the Ncuba wrestling, I

774
00:43:43,400 --> 00:43:45,040
Speaker 2: might have to like hit your riders. All right.

775
00:43:45,040 --> 00:43:47,080
Speaker 1: Well, I've never met you in person, Miranda. I was

776
00:43:47,120 --> 00:43:48,759
Speaker 1: going to ask you for well, I hope to see

777
00:43:48,760 --> 00:43:50,880
Speaker 1: you on Saturday. Then I was going to ask you

778
00:43:50,920 --> 00:43:53,720
Speaker 1: for advice. I bet you've been on Air Force one before.

779
00:43:53,760 --> 00:43:54,800
Speaker 1: Should I know anything?

780
00:43:56,160 --> 00:43:58,600
Speaker 3: Yes, I went once about three weeks ago when I

781
00:43:58,640 --> 00:44:05,880
Speaker 3: interviewed President Trump. Gosh, just the food is great. I

782
00:44:05,880 --> 00:44:08,040
Speaker 3: don't know if you'll have enough time to have a meal.

783
00:44:09,360 --> 00:44:13,719
Speaker 3: The presidential suite at the front of the plane is

784
00:44:14,160 --> 00:44:17,280
Speaker 3: plush and gorgeous. So I would just keep your eyes peeled.

785
00:44:17,360 --> 00:44:20,280
Speaker 3: I didn't because I was so concentrating on my questions.

786
00:44:20,360 --> 00:44:23,640
Speaker 3: But keep your eyes peeled for Dacor. I wish i'd

787
00:44:23,680 --> 00:44:26,279
Speaker 3: done that. And get a photograph of yourself. Get the

788
00:44:26,280 --> 00:44:29,399
Speaker 3: White House photographer to take a photo of you in

789
00:44:29,480 --> 00:44:33,719
Speaker 3: his office, in Trump's office on Air Force one, interviewing him,

790
00:44:33,760 --> 00:44:35,920
Speaker 3: because that will be a memento for the ages.

791
00:44:36,560 --> 00:44:38,680
Speaker 2: I can't well, I'm so excited about getting to go

792
00:44:38,760 --> 00:44:42,239
Speaker 2: on Air Force one. I mean again, I.

793
00:44:42,239 --> 00:44:43,680
Speaker 1: Just wanted to ask your advice. By the way, how

794
00:44:43,680 --> 00:44:45,640
Speaker 1: do you think I'll be received by the White House

795
00:44:45,680 --> 00:44:47,560
Speaker 1: Press Corps? Do you think they'll be fans?

796
00:44:49,080 --> 00:44:52,319
Speaker 3: Well, hopefully you won't be actually with them. They sort

797
00:44:52,320 --> 00:44:54,440
Speaker 3: of apart down the back of the plane, and you

798
00:44:54,480 --> 00:44:57,920
Speaker 3: probably will get to sit up closer where.

799
00:44:57,760 --> 00:45:01,239
Speaker 2: The staff are, so that would be my maybe, and.

800
00:45:01,200 --> 00:45:03,480
Speaker 3: Then you'll get like the first class service, the more

801
00:45:03,480 --> 00:45:07,600
Speaker 3: comfortable seats, et cetera. Look, I think probably most of

802
00:45:07,640 --> 00:45:09,920
Speaker 3: the reporters who are in the White House fool. I

803
00:45:09,960 --> 00:45:13,160
Speaker 3: know we have a York Post reporter Stephen Nelson's been

804
00:45:13,560 --> 00:45:16,200
Speaker 3: in that several times. I think most of them are

805
00:45:16,239 --> 00:45:19,359
Speaker 3: just professionals who are trying to do their job. It's

806
00:45:19,400 --> 00:45:22,640
Speaker 3: only occasionally you'll get someone like that NPR woman the

807
00:45:22,680 --> 00:45:28,160
Speaker 3: other day who was so clumsy managing the boom mic

808
00:45:28,320 --> 00:45:32,360
Speaker 3: that it basically crashed into Donald Trump's face and brushed

809
00:45:32,360 --> 00:45:35,759
Speaker 3: across it. You know, I don't know whether that was

810
00:45:35,880 --> 00:45:39,880
Speaker 3: deliberate or not, who knows, but it was certainly clumsy.

811
00:45:40,040 --> 00:45:42,760
Speaker 3: So I think there are a few real anti Trump

812
00:45:42,800 --> 00:45:45,759
Speaker 3: people who are in that preschool. So hopefully on the

813
00:45:45,840 --> 00:45:47,960
Speaker 3: day that you go, they won't be there.

814
00:45:49,280 --> 00:45:51,520
Speaker 2: Fingers crossed. I'm looking forward to see any Saturday. By

815
00:45:51,560 --> 00:45:54,000
Speaker 2: the way, Yeah me too.

816
00:45:54,320 --> 00:45:56,239
Speaker 3: I hope, I hope we get a chance. I think

817
00:45:56,239 --> 00:45:59,040
Speaker 3: there'll be a lot of people there. But Tony Bobolinski

818
00:45:59,280 --> 00:46:03,880
Speaker 3: is an a flute legend, Penn State wrestling champion, and

819
00:46:04,080 --> 00:46:09,040
Speaker 3: obviously whistle blower champion against the Bidens. He was Hunter

820
00:46:09,080 --> 00:46:12,439
Speaker 3: Biden's former business partner and he really went all out

821
00:46:12,520 --> 00:46:16,000
Speaker 3: during the campaign to campaign in Pennsylvania to get the

822
00:46:16,040 --> 00:46:19,880
Speaker 3: whole Penn State team wrestling team on board with Donald Trump,

823
00:46:20,040 --> 00:46:23,840
Speaker 3: which they are, and so we're rooting for Penn State.

824
00:46:24,719 --> 00:46:27,640
Speaker 2: Awesome. I can't wait. Miranda, keep up the killer work

825
00:46:27,719 --> 00:46:29,040
Speaker 2: and I hope to see you this weekend.

826
00:46:29,560 --> 00:46:32,440
Speaker 5: Yeah you too, Thanks so much to g She's done.

827
00:46:32,320 --> 00:46:35,920
Speaker 2: Such a good job. You and Miranda did you hang

828
00:46:35,960 --> 00:46:38,959
Speaker 2: out this weekend? You know, the buckster getting left getting

829
00:46:39,000 --> 00:46:41,799
Speaker 2: left behind while you and Miranda are clinking the champagne

830
00:46:41,800 --> 00:46:44,160
Speaker 2: glasses flying around on the jet I see how it is.

831
00:46:44,560 --> 00:46:47,520
Speaker 1: I will say, Miranda, because you killed it at what

832
00:46:47,680 --> 00:46:49,759
Speaker 1: was that the New York speech that you gave.

833
00:46:51,600 --> 00:46:53,520
Speaker 2: Oh, shout it out. But for Buck, like to me,

834
00:46:53,640 --> 00:46:56,200
Speaker 2: you oh yeah, yeah. She texted me when you and

835
00:46:56,239 --> 00:46:59,640
Speaker 2: you were at the Metropolitan Republican the Buckster is fantastic

836
00:46:59,680 --> 00:47:01,719
Speaker 2: at the events. Just throwing that out there if any

837
00:47:01,719 --> 00:47:03,719
Speaker 2: of you who are looking for a keynote. And I

838
00:47:03,760 --> 00:47:05,640
Speaker 2: gave a speech and she missed it, but then we

839
00:47:05,719 --> 00:47:08,239
Speaker 2: hung out afterwards and carries well she texted me and said,

840
00:47:08,280 --> 00:47:10,440
Speaker 2: I heard Buck was great at his New York speech.

841
00:47:10,560 --> 00:47:11,839
Speaker 2: I want to be able to hang out with him.

842
00:47:11,880 --> 00:47:12,800
Speaker 2: And I was like, well, I got to get you

843
00:47:12,840 --> 00:47:14,399
Speaker 2: guys on a text chain and you guys just went

844
00:47:14,440 --> 00:47:16,759
Speaker 2: out and party the nightaway. You know, your boy Buck

845
00:47:16,800 --> 00:47:19,920
Speaker 2: gets it done. No notes, no nothing throws down. That's

846
00:47:19,960 --> 00:47:20,360
Speaker 2: how we do.

847
00:47:21,200 --> 00:47:23,239
Speaker 1: By the way, appreciate everybody out there who was at

848
00:47:23,239 --> 00:47:27,080
Speaker 1: the Nashville Davidson County GOP event last night. I spoke

849
00:47:27,160 --> 00:47:29,840
Speaker 1: to them in the Great State of Tennessee. So if

850
00:47:29,880 --> 00:47:32,359
Speaker 1: you guys are listening right now, really fun time there.

851
00:47:32,400 --> 00:47:35,399
Speaker 1: Appreciate y'all hanging out there. And if you're out there

852
00:47:35,440 --> 00:47:36,680
Speaker 1: right now and you're thinking, you know what, I need

853
00:47:36,719 --> 00:47:39,000
Speaker 1: a little bit more education, maybe about the Constitution, maybe

854
00:47:39,000 --> 00:47:41,160
Speaker 1: about World War One, maybe about World War Two. Maybe

855
00:47:41,200 --> 00:47:44,160
Speaker 1: heck about Mark Twain or Jane Austen or all different

856
00:47:44,280 --> 00:47:46,399
Speaker 1: sorts of different topics out there.

857
00:47:46,400 --> 00:47:47,560
Speaker 2: It's really kind of amazing.

858
00:47:48,440 --> 00:47:50,920
Speaker 1: You can get hooked up right now at Clayanbuck for

859
00:47:51,040 --> 00:47:54,480
Speaker 1: Hillsdale dot com the incredible work of the Hillsdale faculty

860
00:47:54,920 --> 00:48:00,880
Speaker 1: on video. No grades, no schedule other than your freedom.

861
00:48:01,239 --> 00:48:03,200
Speaker 1: Do you want to learn a little bit more? Would

862
00:48:03,200 --> 00:48:05,719
Speaker 1: you like to have more of knowledge? Maybe you didn't

863
00:48:05,760 --> 00:48:07,640
Speaker 1: get to go to college, maybe.

864
00:48:07,400 --> 00:48:10,799
Speaker 2: You didn't necessarily make it to every lecture, and you've

865
00:48:10,800 --> 00:48:14,440
Speaker 2: got some education you'd like to stack together again, no grades,

866
00:48:14,840 --> 00:48:18,399
Speaker 2: no schedule other than your own. It's learning for learning sake.

867
00:48:18,440 --> 00:48:20,480
Speaker 2: Go check it out. I'm blown away by how fantastic

868
00:48:20,520 --> 00:48:24,759
Speaker 2: this is all for free. Clayanbuckfour Hillsdale dot com. One

869
00:48:24,760 --> 00:48:30,040
Speaker 2: more time, clayanbuckfour Hillsdale dot com. You don't know what

870
00:48:30,360 --> 00:48:32,759
Speaker 2: you don't know right, but you could.

871
00:48:33,160 --> 00:48:36,520
Speaker 4: On the Sunday Hang with Clay and Buck podcast.

872
00:48:36,239 --> 00:48:39,840
Speaker 1: Welcome Back in Play Travis Buck Sexton Show sharing this

873
00:48:40,000 --> 00:48:42,520
Speaker 1: data from Steve Kornaki and I was just laying it out.

874
00:48:42,960 --> 00:48:47,320
Speaker 1: College educated white women, they hate Trump. They're the only

875
00:48:47,440 --> 00:48:50,160
Speaker 1: group of white voters that hates Trump. In fact, he

876
00:48:50,239 --> 00:48:54,440
Speaker 1: has a positive review of everybody else. And the difference

877
00:48:54,480 --> 00:48:58,120
Speaker 1: between white men with no college degree and white women

878
00:48:58,239 --> 00:49:03,920
Speaker 1: with college degrees has probably never been more expansive, huge difference.

879
00:49:03,960 --> 00:49:07,720
Speaker 1: White women with college degrees hate Elon, they hate Doge,

880
00:49:09,280 --> 00:49:15,040
Speaker 1: they hate the Republican Party, they love Zolensky, and they

881
00:49:15,120 --> 00:49:21,640
Speaker 1: also Buck love DEI So, basically, white women with college

882
00:49:21,640 --> 00:49:24,439
Speaker 1: degrees as a group, I know there are many white

883
00:49:24,440 --> 00:49:27,320
Speaker 1: women with college degrees that are listening to us right now,

884
00:49:27,719 --> 00:49:32,040
Speaker 1: are divergent from every other white person in America in

885
00:49:32,080 --> 00:49:35,480
Speaker 1: a massive way. White men with college degrees are not

886
00:49:35,640 --> 00:49:38,800
Speaker 1: similar to white women with college degrees, and certainly white

887
00:49:39,239 --> 00:49:43,719
Speaker 1: women and men without college degrees are not similar at

888
00:49:43,719 --> 00:49:46,640
Speaker 1: all either. A bunch of people want to weigh in,

889
00:49:47,960 --> 00:49:52,640
Speaker 1: and let's start with Lois in Raleigh, North Carolina. What

890
00:49:52,680 --> 00:49:55,040
Speaker 1: do you think is to explain this?

891
00:49:56,440 --> 00:49:59,759
Speaker 6: Hey, guys, thanks for taking my call. I am an

892
00:50:00,040 --> 00:50:03,520
Speaker 6: college educated woman with a master's degree in education administration.

893
00:50:04,200 --> 00:50:06,759
Speaker 6: I worked until thirty nine, got married and had my son.

894
00:50:07,400 --> 00:50:10,960
Speaker 6: I loved Trump, and I think maybe some of these women,

895
00:50:11,000 --> 00:50:14,399
Speaker 6: because I know some are very angry. Maybe they're even

896
00:50:14,480 --> 00:50:17,520
Speaker 6: kind of intimidating, and so are they kind of put

897
00:50:17,560 --> 00:50:19,560
Speaker 6: people off a little. I don't know, but that's been

898
00:50:19,600 --> 00:50:22,120
Speaker 6: my experience. So but I love Trump and I'm a

899
00:50:22,120 --> 00:50:23,760
Speaker 6: college educated woman and white.

900
00:50:23,840 --> 00:50:25,200
Speaker 2: Right, Well, we know, we know there are a lot

901
00:50:25,200 --> 00:50:26,480
Speaker 2: of we know there are a lot of you out there.

902
00:50:26,560 --> 00:50:29,480
Speaker 2: I'm curious. I mean when you say, did you have peers,

903
00:50:29,960 --> 00:50:32,040
Speaker 2: you know, women who were in your program, let's say

904
00:50:32,040 --> 00:50:34,920
Speaker 2: your master's program, Like, what what has their experience been?

905
00:50:34,920 --> 00:50:36,759
Speaker 2: Because you said, I think you got married at thirty nine,

906
00:50:36,800 --> 00:50:39,120
Speaker 2: you had a kid, you know, it all worked out

907
00:50:39,160 --> 00:50:41,000
Speaker 2: for you, right, But do you have a lot of

908
00:50:41,440 --> 00:50:45,200
Speaker 2: people from your master's program who maybe never were able

909
00:50:45,200 --> 00:50:47,440
Speaker 2: to start a family, or feel like they spent too

910
00:50:47,480 --> 00:50:49,840
Speaker 2: much time in the library or whatever. I'm curious what

911
00:50:49,880 --> 00:50:52,120
Speaker 2: your general conception or perception is.

912
00:50:53,680 --> 00:50:57,000
Speaker 6: Well, I guess my perception is I felt they they

913
00:50:57,080 --> 00:51:01,280
Speaker 6: sort of gave this go away. I'm I'm strong, I'm tough,

914
00:51:02,440 --> 00:51:04,279
Speaker 6: I'm not vulnerable that type of thing.

915
00:51:04,719 --> 00:51:06,080
Speaker 2: Do you think that was because they were told that

916
00:51:06,080 --> 00:51:09,320
Speaker 2: they should compete with men in the workplace in a

917
00:51:09,360 --> 00:51:11,799
Speaker 2: way that was unhealthy I mean, what's your analysis of it.

918
00:51:12,880 --> 00:51:15,080
Speaker 6: Oh, I think it's unhealthy because I wanted to be

919
00:51:15,120 --> 00:51:18,120
Speaker 6: married and have a child and be a college educated woman.

920
00:51:18,280 --> 00:51:20,080
Speaker 6: I wanted to have all of that, and I did.

921
00:51:20,239 --> 00:51:21,040
Speaker 6: I just had to wait.

922
00:51:21,840 --> 00:51:23,960
Speaker 1: Yeah, okay, I've got a good email here, Thank you

923
00:51:24,000 --> 00:51:26,640
Speaker 1: for the call. By the way, with you, I can

924
00:51:26,719 --> 00:51:30,640
Speaker 1: mention my wife has double graduate degrees and voted for Trump.

925
00:51:30,760 --> 00:51:33,239
Speaker 1: So obviously there are a lot of people out there

926
00:51:33,640 --> 00:51:36,440
Speaker 1: in that camp. But but again.

927
00:51:36,560 --> 00:51:39,280
Speaker 2: On the on the outlier thing. You know, Mark Zuckerberg

928
00:51:39,280 --> 00:51:41,279
Speaker 2: didn't finish college and is one of the richest people

929
00:51:41,280 --> 00:51:44,600
Speaker 2: on the planet. That doesn't mean that like people shouldn't

930
00:51:44,600 --> 00:51:46,960
Speaker 2: get an education, right, you know, it doesn't or that

931
00:51:46,960 --> 00:51:48,719
Speaker 2: you shouldn't finish college if you think that's going to

932
00:51:48,760 --> 00:51:51,520
Speaker 2: be good for you. You know, the exception is not the rule.

933
00:51:51,760 --> 00:51:54,640
Speaker 2: The outlier typically is an outlier for a reason. Good

934
00:51:54,640 --> 00:51:58,480
Speaker 2: email here from Katie. She says, howdy from San Antonio,

935
00:51:58,880 --> 00:52:02,760
Speaker 2: college educated Gigamaggie's means she's a tex A and m grad.

936
00:52:03,040 --> 00:52:05,160
Speaker 1: I'm a white woman here, voted for Trump. And what

937
00:52:05,200 --> 00:52:08,359
Speaker 1: I'm interested in is why you think women, not what

938
00:52:08,440 --> 00:52:11,280
Speaker 1: you did, but why you think these numbers do reflect

939
00:52:11,320 --> 00:52:11,760
Speaker 1: the truth.

940
00:52:11,800 --> 00:52:13,680
Speaker 2: There are a lot of people who disagree with you.

941
00:52:13,920 --> 00:52:18,200
Speaker 2: Here's her explanation. Many of my childhood friends turned extremely

942
00:52:18,320 --> 00:52:22,520
Speaker 2: liberal while in college. Then they moved into urban suburban

943
00:52:22,600 --> 00:52:26,640
Speaker 2: areas around Dallas, Austin, and Houston. All of my white

944
00:52:26,680 --> 00:52:31,240
Speaker 2: college educated liberal friends are extremely vocal on social media

945
00:52:31,600 --> 00:52:36,279
Speaker 2: about the same issues, abortion, the Alphabet Crew, nonsense, and

946
00:52:36,360 --> 00:52:40,840
Speaker 2: above all, pandering to the race social causes like BLM.

947
00:52:41,480 --> 00:52:44,800
Speaker 2: It's like they fall all over each other to show

948
00:52:45,120 --> 00:52:48,480
Speaker 2: who is the most apologetic for being white and who

949
00:52:48,520 --> 00:52:52,040
Speaker 2: adopts the most pets from their local shelter. Their need

950
00:52:52,120 --> 00:52:56,600
Speaker 2: to fill morally superior is unmatched. I think that's a

951
00:52:56,640 --> 00:53:00,239
Speaker 2: really great email that actually makes a lot of sense. Yeah,

952
00:53:00,440 --> 00:53:02,520
Speaker 2: high five to who was the author of that one.

953
00:53:02,600 --> 00:53:06,239
Speaker 2: Via Katie Gigamaggie's good luck to Texas A and M

954
00:53:06,239 --> 00:53:10,000
Speaker 2: in the tournament. Based on this, she also said, by

955
00:53:10,000 --> 00:53:12,440
Speaker 2: the way, Texas A and M one of the exceptions

956
00:53:12,480 --> 00:53:17,320
Speaker 2: mostly conservative school, especially compared to that Orange school in Austin.

957
00:53:17,400 --> 00:53:19,040
Speaker 2: Taking a little bit of a shot at the University

958
00:53:19,040 --> 00:53:19,560
Speaker 2: of Texas.

959
00:53:19,600 --> 00:53:23,960
Speaker 1: But it is interesting that it's like for college educated

960
00:53:24,000 --> 00:53:28,560
Speaker 1: women their social stature is a competition to see who

961
00:53:28,600 --> 00:53:32,960
Speaker 1: can appear the most emotionally.

962
00:53:32,400 --> 00:53:36,920
Speaker 2: Empathetic and may well drive it. I think that the

963
00:53:37,760 --> 00:53:41,080
Speaker 2: emotional blackmail that we are all put through in college

964
00:53:41,400 --> 00:53:47,319
Speaker 2: by the woke machinery is particularly effective on women. I

965
00:53:47,400 --> 00:53:49,880
Speaker 2: just think that, Again, that doesn't mean that all women

966
00:53:49,920 --> 00:53:52,879
Speaker 2: succumb to it. It just means that I think that

967
00:53:52,960 --> 00:53:56,680
Speaker 2: women are more likely because they're more Look, we can

968
00:53:56,680 --> 00:53:58,600
Speaker 2: speak about these things honestly, right, Women tend to be

969
00:53:58,680 --> 00:54:01,120
Speaker 2: more empathetic and tend to be more in touch with

970
00:54:01,160 --> 00:54:04,040
Speaker 2: their feelings. You know. In general, Okay, I need some

971
00:54:04,080 --> 00:54:06,040
Speaker 2: woman to call, like I could bench press you buck

972
00:54:06,120 --> 00:54:10,759
Speaker 2: like I'm sure you can. But generally speaking, women are

973
00:54:10,760 --> 00:54:14,240
Speaker 2: more when full macho man Randy Savage.

974
00:54:14,080 --> 00:54:17,840
Speaker 1: That's the that's the lesbian woman from the Democrat Party

975
00:54:17,840 --> 00:54:20,719
Speaker 1: that picked Tim Walls as the man to appeal to.

976
00:54:20,280 --> 00:54:23,040
Speaker 2: You get what I'm you get what I'm putting down.

977
00:54:23,239 --> 00:54:26,319
Speaker 2: But I think that women want to be and I'm

978
00:54:26,320 --> 00:54:29,600
Speaker 2: talking about college. Women in college were of that age. Obviously,

979
00:54:30,120 --> 00:54:32,400
Speaker 2: they want to be empathetic. They want to be sympathetic,

980
00:54:32,400 --> 00:54:34,240
Speaker 2: they want to do what they can for other people,

981
00:54:34,640 --> 00:54:39,160
Speaker 2: and they are told that to be good people, to

982
00:54:39,360 --> 00:54:42,680
Speaker 2: be good people, you have to identify with these cousin

983
00:54:42,760 --> 00:54:47,080
Speaker 2: Clay a perfect example of this, Zolenski. The college educated

984
00:54:47,120 --> 00:54:50,480
Speaker 2: women love little Zolenski. Give me more money. I am

985
00:54:50,480 --> 00:54:53,000
Speaker 2: here for Donald Trump in my T shirt. Like the

986
00:54:53,080 --> 00:54:57,640
Speaker 2: whole thing is bizarre when you think about this. Also,

987
00:54:58,200 --> 00:55:01,080
Speaker 2: what are these college educated women know about what it

988
00:55:01,239 --> 00:55:04,560
Speaker 2: means to be somewhere where you could get blown up

989
00:55:04,600 --> 00:55:08,480
Speaker 2: by an ied or shot by a sniper rifle, et cetera,

990
00:55:08,480 --> 00:55:10,840
Speaker 2: et cetera, et cetera. And yet they're the ones that

991
00:55:10,880 --> 00:55:14,080
Speaker 2: are so all in on this Ukraine war situation. Like,

992
00:55:14,400 --> 00:55:18,000
Speaker 2: think about this for a second. The guys who has fought,

993
00:55:18,239 --> 00:55:20,400
Speaker 2: who has fought a lot of Americans war. Now, I

994
00:55:20,440 --> 00:55:22,719
Speaker 2: have friends who come from very well off backgrounds who

995
00:55:22,760 --> 00:55:24,759
Speaker 2: were in the Army and in the Marines too, So

996
00:55:24,840 --> 00:55:28,000
Speaker 2: I'm not I'm not saying again we're speaking generalities here, Okay,

997
00:55:28,960 --> 00:55:34,600
Speaker 2: working class men are the ones who fight America's wars.

998
00:55:34,920 --> 00:55:37,719
Speaker 2: Rich man's poor man's fight has been a paise for

999
00:55:37,840 --> 00:55:41,040
Speaker 2: hundreds of years, and it's true in the world it is,

1000
00:55:41,160 --> 00:55:45,160
Speaker 2: you know, eighteen year olds from working class backgrounds who

1001
00:55:45,160 --> 00:55:47,839
Speaker 2: are the ones signing up fighting our wars. I don't

1002
00:55:47,840 --> 00:55:50,680
Speaker 2: think anybody would find this a controversial statement. It is

1003
00:55:50,719 --> 00:55:54,759
Speaker 2: the truth. And it's interesting that they like Trump the

1004
00:55:54,760 --> 00:55:57,680
Speaker 2: guy who's trying to end the war, and white college

1005
00:55:57,760 --> 00:56:01,360
Speaker 2: educated women are the ones who are like like Slava Ukrainy,

1006
00:56:01,520 --> 00:56:05,439
Speaker 2: like fight till the very end. The guys know that

1007
00:56:05,520 --> 00:56:07,840
Speaker 2: this stuff is nasty and you want to end it

1008
00:56:07,880 --> 00:56:10,319
Speaker 2: as fast as possible. This is not a video game.

1009
00:56:11,040 --> 00:56:14,759
Speaker 2: Mary in San Marcos, Texas. What's your theory on what's

1010
00:56:14,800 --> 00:56:15,479
Speaker 2: going on here?

1011
00:56:17,320 --> 00:56:21,680
Speaker 7: I think they're spoiled brats. I think they think they're enabled,

1012
00:56:21,760 --> 00:56:23,920
Speaker 7: and they think that they're better, and they think that

1013
00:56:24,000 --> 00:56:26,759
Speaker 7: they're gonna do whatever they think they want to do.

1014
00:56:27,680 --> 00:56:31,720
Speaker 7: They are using the female card. I'm in my sixties

1015
00:56:31,719 --> 00:56:34,200
Speaker 7: that it took me a while to get my degree,

1016
00:56:34,320 --> 00:56:36,520
Speaker 7: but I worked my butt off to get my degree.

1017
00:56:36,880 --> 00:56:40,680
Speaker 7: Literally because we didn't have federal loans then we had

1018
00:56:40,719 --> 00:56:44,160
Speaker 7: to pay it as we went. But I very much

1019
00:56:44,200 --> 00:56:47,239
Speaker 7: earned my degree. I am a degree from Texas A

1020
00:56:47,280 --> 00:56:50,680
Speaker 7: and M Corpus Christi, Texas, but I am a teacher.

1021
00:56:50,719 --> 00:56:54,480
Speaker 7: I retired after twenty five years, but before that, I

1022
00:56:54,600 --> 00:56:57,680
Speaker 7: was a mechanic in an oil refinery. I was a

1023
00:56:57,719 --> 00:57:03,520
Speaker 7: mechanic in Abbot laboratory. Medical manufacturing system. As I said,

1024
00:57:03,600 --> 00:57:06,600
Speaker 7: I work my butt off, and these ladies that are

1025
00:57:06,600 --> 00:57:09,759
Speaker 7: just doing this, they couldn't be bothered by dirting their

1026
00:57:09,800 --> 00:57:13,560
Speaker 7: hands doing menial work waitressing or working in the kitchen

1027
00:57:13,640 --> 00:57:18,200
Speaker 7: or working in some kind of hands on product. They're

1028
00:57:18,720 --> 00:57:21,440
Speaker 7: you know, little mischucchies doing what they want to do

1029
00:57:21,520 --> 00:57:24,240
Speaker 7: because I'm a female and I can do this, and

1030
00:57:24,480 --> 00:57:27,040
Speaker 7: you know you have to hire me because I'm entitled.

1031
00:57:27,280 --> 00:57:27,920
Speaker 7: No you're not.

1032
00:57:28,800 --> 00:57:32,320
Speaker 2: Thank you for the call. I love it, Thank you

1033
00:57:32,360 --> 00:57:36,840
Speaker 2: for the call. I do think there's a generational divide here, right,

1034
00:57:36,960 --> 00:57:40,959
Speaker 2: because a lot of women college graduates are recent women

1035
00:57:41,040 --> 00:57:43,680
Speaker 2: college graduates, meaning in the last twenty or thirty years,

1036
00:57:43,800 --> 00:57:47,040
Speaker 2: as now women get way more college degrees in question,

1037
00:57:47,120 --> 00:57:52,120
Speaker 2: for you, buck, are women, because of social media, far

1038
00:57:52,200 --> 00:57:55,720
Speaker 2: more likely to be susceptible to what their friends do

1039
00:57:55,840 --> 00:57:58,720
Speaker 2: and say than men are. Like, I don't know about you,

1040
00:57:58,720 --> 00:58:02,640
Speaker 2: but I really I Clay, and I here experts on women.

1041
00:58:03,320 --> 00:58:05,520
Speaker 2: I just think it's kind of funny. Yes, I'm just

1042
00:58:05,520 --> 00:58:07,840
Speaker 2: having I'm just having a go at you. Yes, I

1043
00:58:07,880 --> 00:58:11,000
Speaker 2: think that you are correct. I think that the I

1044
00:58:11,280 --> 00:58:13,080
Speaker 2: see this all the time. Can I just tell you

1045
00:58:13,120 --> 00:58:17,400
Speaker 2: something you know? I have I still have some friends

1046
00:58:17,440 --> 00:58:20,040
Speaker 2: who are single and I and I love hearing about,

1047
00:58:20,080 --> 00:58:21,720
Speaker 2: you know, their story. It's great to hear their stories,

1048
00:58:21,760 --> 00:58:24,040
Speaker 2: right It's it's like hearing about people who are out

1049
00:58:24,040 --> 00:58:26,280
Speaker 2: there in the jungle trying to find the tiger still,

1050
00:58:26,320 --> 00:58:29,880
Speaker 2: you know, like, I'm I'm safe, and I've got I

1051
00:58:29,880 --> 00:58:32,960
Speaker 2: got an older brother who's who's a fantastic guy and

1052
00:58:33,000 --> 00:58:36,480
Speaker 2: a very eligible bachelor. Great catch, just thrown it out there,

1053
00:58:36,520 --> 00:58:39,640
Speaker 2: great catch, Mason, my older brother, and and he's still single.

1054
00:58:39,640 --> 00:58:41,040
Speaker 2: But you know, I've got a bunch of friends down

1055
00:58:41,080 --> 00:58:43,520
Speaker 2: here as well who are all single guys. And Clay.

1056
00:58:43,960 --> 00:58:46,960
Speaker 2: The number of women who think it's really appealing to

1057
00:58:47,040 --> 00:58:51,040
Speaker 2: tell guys that their great life life aspiration is to

1058
00:58:51,360 --> 00:58:56,320
Speaker 2: travel is insane to me. This is this is entirely

1059
00:58:56,400 --> 00:59:00,720
Speaker 2: a product of Instagram culture and getting the likes. And

1060
00:59:00,920 --> 00:59:04,400
Speaker 2: I'm in Toulom and I'm in Barcelona, and I'm in

1061
00:59:04,440 --> 00:59:06,720
Speaker 2: all these places, and all my friends think I'm living

1062
00:59:06,760 --> 00:59:10,040
Speaker 2: this great life. Traveling is a thing you do once

1063
00:59:10,080 --> 00:59:13,240
Speaker 2: in a while to do a reset from your actual life.

1064
00:59:13,280 --> 00:59:16,919
Speaker 1: And yeah, I'm gonna sound like an Instagram influencer chick

1065
00:59:17,000 --> 00:59:19,480
Speaker 1: right now. I kind of think they're right. I love

1066
00:59:19,520 --> 00:59:22,000
Speaker 1: to travel. I want to go everywhere. That's what I

1067
00:59:22,040 --> 00:59:24,439
Speaker 1: want to do. No, I want to just travel over

1068
00:59:24,480 --> 00:59:26,280
Speaker 1: the place you're gonna see me, like on the edge

1069
00:59:26,280 --> 00:59:28,400
Speaker 1: of a cliff taking a selfie, like look at the

1070
00:59:28,440 --> 00:59:29,520
Speaker 1: sea in the background.

1071
00:59:29,640 --> 00:59:32,200
Speaker 2: We need doctor Laura. Where's doctor Laura. We need hear

1072
00:59:32,320 --> 00:59:32,800
Speaker 2: weigh in on this.

1073
00:59:33,600 --> 00:59:36,680
Speaker 1: But I do think that first of all, I have

1074
00:59:36,680 --> 00:59:39,080
Speaker 1: no idea what my friends say on social media, Like

1075
00:59:39,200 --> 00:59:40,200
Speaker 1: I use social media.

1076
00:59:40,200 --> 00:59:42,160
Speaker 2: If you were trying to find you found, you found

1077
00:59:42,160 --> 00:59:44,080
Speaker 2: a great woman and built a beautiful family in a.

1078
00:59:44,000 --> 00:59:46,520
Speaker 1: Real world where you meet face to face, like in

1079
00:59:46,600 --> 00:59:49,800
Speaker 1: law school, like most people used to meet face to face.

1080
00:59:49,840 --> 00:59:52,400
Speaker 1: But so the whole dating on the internet thing was

1081
00:59:52,400 --> 00:59:53,200
Speaker 1: like predates me.

1082
00:59:53,320 --> 00:59:55,600
Speaker 2: So but I'm saying if you if you met a

1083
00:59:55,640 --> 00:59:58,240
Speaker 2: girl in you know, not Laura, if you had met

1084
00:59:58,280 --> 01:00:00,880
Speaker 2: somebody before you met Laura, and you said, hey, like,

1085
01:00:00,920 --> 01:00:01,960
Speaker 2: you know, what do you want to do? Just like

1086
01:00:02,000 --> 01:00:04,720
Speaker 2: I just want to travel? Now you think that's a

1087
01:00:04,840 --> 01:00:07,400
Speaker 2: you think not I want to build a family. I

1088
01:00:07,520 --> 01:00:09,760
Speaker 2: like to travel. Now what I wanted to hear, You're

1089
01:00:09,760 --> 01:00:12,200
Speaker 2: a witch? I want man, you don't count now I'm

1090
01:00:12,240 --> 01:00:14,840
Speaker 2: talking about when you were single. Oh yeah, no, what

1091
01:00:14,880 --> 01:00:16,440
Speaker 2: I wanted to hear was I want to have a

1092
01:00:16,440 --> 01:00:18,920
Speaker 2: ton of kids. Yeah, that's what I would want to hear.

1093
01:00:19,000 --> 01:00:21,320
Speaker 2: So you you agree with me your whole I love

1094
01:00:21,360 --> 01:00:23,480
Speaker 2: to travel thing, Clay, Yeah, like cause you're you know,

1095
01:00:23,560 --> 01:00:30,840
Speaker 2: I'm alreadying around totally different. But but I do think

1096
01:00:30,880 --> 01:00:33,520
Speaker 2: the thing that I wanted to hear was, Hey, I

1097
01:00:33,560 --> 01:00:35,960
Speaker 2: want to have a bunch of kids. And that's what

1098
01:00:36,040 --> 01:00:39,480
Speaker 2: had appeal to me. And if you're I guess I'm

1099
01:00:39,480 --> 01:00:41,640
Speaker 2: thinking like twenty five year old day if you're like

1100
01:00:41,680 --> 01:00:43,240
Speaker 2: thirty five and you meet somebody and like, what do

1101
01:00:43,280 --> 01:00:44,840
Speaker 2: you want to do with your life? Like I want

1102
01:00:44,840 --> 01:00:47,200
Speaker 2: to travel? That's a little bit weird. There's a lot

1103
01:00:47,240 --> 01:00:49,160
Speaker 2: I had. This is what I'm telling you. There are

1104
01:00:49,160 --> 01:00:51,800
Speaker 2: a lot of women in their thirties who their aspiration

1105
01:00:52,000 --> 01:00:55,280
Speaker 2: is their life aspiration again as they're presenting it on

1106
01:00:55,320 --> 01:00:58,400
Speaker 2: social media and on dating apps or whatever, is I

1107
01:00:58,480 --> 01:01:01,160
Speaker 2: want to travel. And I just think that this is

1108
01:01:01,840 --> 01:01:08,960
Speaker 2: this mindset of the self actualization through selfies is really damaging.

1109
01:01:09,560 --> 01:01:11,760
Speaker 2: I think it's totally true. Here's another question for you.

1110
01:01:12,240 --> 01:01:16,240
Speaker 2: Do you think women are more impacted by negativity on

1111
01:01:16,320 --> 01:01:19,080
Speaker 2: social media? Like, in other words, anything that we post

1112
01:01:19,520 --> 01:01:21,720
Speaker 2: if you want to go into the mentions, you can

1113
01:01:21,760 --> 01:01:24,520
Speaker 2: find five or six people that are like, kill yourself.

1114
01:01:24,600 --> 01:01:26,680
Speaker 2: I hope you die, right, I mean that is very

1115
01:01:26,680 --> 01:01:30,760
Speaker 2: common on social media, particularly Twitter compared to Instagram. How

1116
01:01:30,800 --> 01:01:34,880
Speaker 2: much of this is just a fear of anybody disagreeing

1117
01:01:34,960 --> 01:01:37,680
Speaker 2: with them in a desperate way. Women are far more

1118
01:01:37,720 --> 01:01:40,760
Speaker 2: socially savvy than men are. Like I don't know when

1119
01:01:40,760 --> 01:01:42,880
Speaker 2: I'm getting the cold shoulder. I don't notice.

1120
01:01:42,600 --> 01:01:46,880
Speaker 1: Because I'm not savvy enough to notice it in many respects.

1121
01:01:47,000 --> 01:01:50,120
Speaker 2: And I do think women are more, far more tuned.

1122
01:01:50,560 --> 01:01:53,840
Speaker 2: And I wonder my thought on this is what would

1123
01:01:53,920 --> 01:01:59,000
Speaker 2: Trump have been like in a non social media era. Well,

1124
01:01:59,040 --> 01:02:00,800
Speaker 2: come back, let's come back to this. Okay, let's come

1125
01:02:00,840 --> 01:02:02,440
Speaker 2: back to those two questions. And also we'll get some

1126
01:02:02,440 --> 01:02:04,120
Speaker 2: of your calls to close us out. We're talking about

1127
01:02:04,200 --> 01:02:06,320
Speaker 2: ladies out there. I'm going to say something right now.

1128
01:02:06,400 --> 01:02:08,960
Speaker 2: A lot of the guys, you know, your two a people,

1129
01:02:09,000 --> 01:02:11,480
Speaker 2: and that's great. I'm a two way guy, but force

1130
01:02:11,680 --> 01:02:14,560
Speaker 2: escalation is something that's great for you to have to consider,

1131
01:02:14,680 --> 01:02:17,440
Speaker 2: right non lethal options and a lot of ladies, including

1132
01:02:17,480 --> 01:02:20,840
Speaker 2: my wife, prefer the non lethal as their go to

1133
01:02:20,920 --> 01:02:23,280
Speaker 2: if they have to defend themselves, and this is where

1134
01:02:23,280 --> 01:02:26,080
Speaker 2: Saber comes in. Saber has been doing this for over

1135
01:02:26,200 --> 01:02:30,080
Speaker 2: fifty years. You can find their products at saberradio dot com.

1136
01:02:30,080 --> 01:02:32,120
Speaker 2: It's very specific websites. Let me give it to you again,

1137
01:02:32,320 --> 01:02:37,360
Speaker 2: SABR saberradio dot com. They're products things like pepper spray,

1138
01:02:37,400 --> 01:02:42,360
Speaker 2: their pepper ball launcher, easy to use and so effective.

1139
01:02:42,640 --> 01:02:45,640
Speaker 2: If you're looking in the non lethal range, Saber is

1140
01:02:45,680 --> 01:02:48,960
Speaker 2: your go to. They've safeguarded hundreds of thousands of Americans

1141
01:02:49,040 --> 01:02:51,920
Speaker 2: over the decades that they've been in business. Family owned company,

1142
01:02:52,240 --> 01:02:54,360
Speaker 2: they make the best in class. There are other guys

1143
01:02:54,360 --> 01:02:57,400
Speaker 2: out there that are competitors that honestly just can't compete

1144
01:02:57,440 --> 01:02:59,560
Speaker 2: because Sabers products are the best. I've tried all the

1145
01:02:59,600 --> 01:03:03,440
Speaker 2: different epper launchers. Saber makes the best one and that

1146
01:03:03,600 --> 01:03:06,640
Speaker 2: creates a six foot pepper cloud upon impact, causing inten

1147
01:03:06,720 --> 01:03:10,840
Speaker 2: censory irritation. Find dozens of incredible home defense and self

1148
01:03:10,880 --> 01:03:14,640
Speaker 2: defense products that Saber makes at their website Saber radio

1149
01:03:14,760 --> 01:03:17,240
Speaker 2: dot com. Say fifteen percent when you go today, or

1150
01:03:17,360 --> 01:03:20,520
Speaker 2: just call this number eight four four eight two four

1151
01:03:20,760 --> 01:03:25,360
Speaker 2: safe eight four four eight two four safe.

1152
01:03:26,480 --> 01:03:29,920
Speaker 4: Cheap up with the biggest political comeback in world History

1153
01:03:30,000 --> 01:03:33,560
Speaker 4: On the Team forty seven podcast, Clay and Buck highlight

1154
01:03:33,640 --> 01:03:34,960
Speaker 4: Trump free plays from the.

1155
01:03:34,920 --> 01:03:36,720
Speaker 2: Week Sundays at noon Eastern.

1156
01:03:36,800 --> 01:03:39,919
Speaker 4: Find it on the iHeartRadio app or wherever you get

1157
01:03:39,960 --> 01:03:40,880
Speaker 4: your podcasts.

1158
01:03:41,800 --> 01:03:43,680
Speaker 2: All right, welcome back into Clay and Buck. We are

1159
01:03:43,720 --> 01:03:46,760
Speaker 2: fired up here on this topic, as are so many

1160
01:03:46,920 --> 01:03:49,280
Speaker 2: of you. You're calling in, you're writing in all over

1161
01:03:49,280 --> 01:03:53,360
Speaker 2: the place we have. Is this a call? Christine and

1162
01:03:53,360 --> 01:03:58,160
Speaker 2: Cape Cod? Christine and cap Cod, what's going on?

1163
01:03:58,440 --> 01:03:59,840
Speaker 5: Him?

1164
01:04:00,160 --> 01:04:00,440
Speaker 6: Well?

1165
01:04:00,560 --> 01:04:04,440
Speaker 5: I am. I have two children in their twenties. I

1166
01:04:04,600 --> 01:04:08,640
Speaker 5: raised them in affluent Newton, Massachusetts. I have a master's

1167
01:04:08,640 --> 01:04:12,600
Speaker 5: degree to successful companies. Although I'm a Republican, all of

1168
01:04:12,600 --> 01:04:15,959
Speaker 5: my best friends that I raised my children with were

1169
01:04:16,360 --> 01:04:21,360
Speaker 5: crazy Liberals. And to the point of where what I

1170
01:04:21,360 --> 01:04:23,720
Speaker 5: think is going on, and what I saw in our

1171
01:04:23,720 --> 01:04:28,560
Speaker 5: community is that boys has been totally emasculated as well

1172
01:04:28,600 --> 01:04:31,160
Speaker 5: as men. And for the most part, most of the

1173
01:04:31,200 --> 01:04:34,400
Speaker 5: men in our community were raised to be very effeminate,

1174
01:04:35,160 --> 01:04:37,520
Speaker 5: to not be aggressive, to not be real men, to

1175
01:04:37,600 --> 01:04:43,400
Speaker 5: not be do sexual advances, advances for concern over being

1176
01:04:43,560 --> 01:04:47,280
Speaker 5: aggressive or for it to be looked at as you know,

1177
01:04:48,080 --> 01:04:51,960
Speaker 5: rapists or whatever. And so I think young boys are

1178
01:04:52,720 --> 01:04:55,840
Speaker 5: not are told not to be that way. And so

1179
01:04:55,880 --> 01:04:58,640
Speaker 5: when all these women are confronted with a real man

1180
01:04:59,480 --> 01:05:01,640
Speaker 5: who is a agressive who is all you know, playing

1181
01:05:01,640 --> 01:05:05,640
Speaker 5: outside and wrestling and all of that, they are like

1182
01:05:05,760 --> 01:05:08,520
Speaker 5: a ghast. Boys shouldn't be that way. Men shouldn't be

1183
01:05:08,600 --> 01:05:12,160
Speaker 5: that way. So Trump, super fast, real man, I think,

1184
01:05:12,400 --> 01:05:16,320
Speaker 5: is looked upon as that. And so I think and

1185
01:05:16,880 --> 01:05:20,080
Speaker 5: certainly like my daughter who is in Cambridge and went

1186
01:05:20,120 --> 01:05:24,680
Speaker 5: to school in Boston, all of the men were very effeminate.

1187
01:05:24,840 --> 01:05:28,440
Speaker 5: So you have all of these women who and the

1188
01:05:28,440 --> 01:05:31,200
Speaker 5: women in my community, we were all lucky enough to

1189
01:05:31,480 --> 01:05:34,000
Speaker 5: raise our children at home, so they were leading very

1190
01:05:34,080 --> 01:05:37,880
Speaker 5: feminine roles within their households, how you know, staying home,

1191
01:05:37,960 --> 01:05:40,920
Speaker 5: taking care of their kids, all of that. Yet we

1192
01:05:40,960 --> 01:05:43,360
Speaker 5: were telling our kids to not be that way. Don't

1193
01:05:43,440 --> 01:05:46,320
Speaker 5: assume those roles. Girl, you you know, get that abortion

1194
01:05:46,400 --> 01:05:50,200
Speaker 5: if you want that abortion. And boys don't be don't wrestle,

1195
01:05:50,280 --> 01:05:50,880
Speaker 5: don't do that.

1196
01:05:51,360 --> 01:05:54,240
Speaker 2: Yeah, they masculinize the women. Actually, the young women are

1197
01:05:54,240 --> 01:05:56,000
Speaker 2: being told to act more like men, and men are

1198
01:05:56,040 --> 01:05:57,680
Speaker 2: being told to act more like women. It's part of

1199
01:05:57,720 --> 01:06:00,480
Speaker 2: the whole gender confusion in this country. Great call, great call,

1200
01:06:00,560 --> 01:06:02,240
Speaker 2: Thank you so much. Let me just say for those

1201
01:06:02,240 --> 01:06:03,840
Speaker 2: of you, because I think we have like every line

1202
01:06:03,920 --> 01:06:06,360
Speaker 2: right now lit up. We obviously were at the end

1203
01:06:06,360 --> 01:06:07,880
Speaker 2: of the show, so Clinton, I would love it if

1204
01:06:07,920 --> 01:06:11,040
Speaker 2: you would whatever you want to say tell us on talkback.

1205
01:06:11,080 --> 01:06:13,480
Speaker 2: We will definitely hear it. We get all of the talkbacks.

1206
01:06:13,520 --> 01:06:15,040
Speaker 2: We get them sent to us in emails so we

1207
01:06:15,120 --> 01:06:17,320
Speaker 2: can hear them or read the transcript, and we'll play

1208
01:06:17,360 --> 01:06:20,520
Speaker 2: some of them tomorrow because we're at time. Great idea, Yes,

1209
01:06:20,600 --> 01:06:22,920
Speaker 2: if you are still waiting, give us the talkback on

1210
01:06:23,000 --> 01:06:25,160
Speaker 2: the iHeart app and we will play a bunch of

1211
01:06:25,160 --> 01:06:29,200
Speaker 2: these tomorrow. Great emails, great calls. We'll be back with

1212
01:06:29,280 --> 01:06:32,640
Speaker 2: all of you tomorrow. NCAA tournament, get your picks in.

1213
01:06:32,720 --> 01:06:33,439
Speaker 2: Let's have some fun.