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Speaker 1: Welcome.

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Speaker 2: It is Verdict was centered Ted Cruz, Ben Ferguson with you,

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Speaker 2: and it is one am in the morning Eastern time,

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Speaker 2: after the State of the Union. I want to be

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Speaker 2: very clear that I am doing this show in protest

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Speaker 2: right now because I was on a plane. No, no,

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Speaker 2: let me let me rephrase that center true or foss.

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Speaker 2: You and I hung out yesterday in your office.

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Speaker 3: We did, and you were in DC, and I can't

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Speaker 3: help it that you fled Washington during the State of

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Speaker 3: the Union. And listen, karmes A and so when you

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Speaker 3: decided you were a little girl and you had to

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Speaker 3: get out of town because the Democrats getting mad at

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Speaker 3: the president were scary. Yeah, there was a consequence, which

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Speaker 3: is for those who are watching on YouTube, a coup

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Speaker 3: is a courage. The original co host of Verdict has

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Speaker 3: returned and seize the seat. To be clear, he has

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Speaker 3: relegated mister Ferguson to appearing as a little box on anor.

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Speaker 4: He banished Ben. I saw it, not just the seat,

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Speaker 4: but I saw this cigar, and I said, this is

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Speaker 4: pretty good. And this has actually become something of a tradition.

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Speaker 4: I've noticed it. I've only ever been to two stags.

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Speaker 2: By the way, if only TC would tell us that

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Speaker 2: there is a tradition, then I wouldn't have gone on

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Speaker 2: a plane at two o'clock this afternoon leave Washington, d C.

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Speaker 2: Think about this, Hey, Ben, we should have cigars. I

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Speaker 2: have to say the union and do the show here.

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Speaker 2: Great idea, I'll change my flight. That is how normal

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Speaker 2: people would have done this.

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Speaker 1: Michael a year in advance.

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Speaker 3: This happened late on the fly, and so this afternoon

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Speaker 3: Michael texted me and said, hey, you want to grab

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Speaker 3: cigars after everything tonight? And I was like, well, we

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Speaker 3: have to do the pod, but aha, I have an idea.

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Speaker 3: And I didn't really want to do the pod and

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Speaker 3: finish at two in the morning and then have cigars,

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Speaker 3: and so I'm like, we'll combine it. And by the way,

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Speaker 3: Daily Wire does this great. What is it late night?

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Speaker 4: What is it called backstage?

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Speaker 3: Backstage? So I've done several times done backstage with them

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Speaker 3: where they sit around and drink scotch and smoke cigars,

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Speaker 3: and so I said, let's bring some backstage. This is

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Speaker 3: like a This is like a Marvel Universe crossover, where

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Speaker 3: like Daily Wire and iHeart are intersecting.

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Speaker 4: This also really, it's kind of a double verdict tradition

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Speaker 4: in that two years ago, Yes, I came to my

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Speaker 4: first State of the Union address. It was Biden State

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Speaker 4: of the Union, the one where they injected him with

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Speaker 4: whatever they injected him with, and he yelled for ninety

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Speaker 4: two minutes.

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Speaker 1: Yeah.

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Speaker 4: And then afterward, actually before i'd set it up, I said, hey, Senator,

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Speaker 4: I happen to be in town. Hate to pressure you

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Speaker 4: for a cigar. Same thing. He said, well, okay, we

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Speaker 4: can have a cigar, but you got to do the

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Speaker 4: podcast first. I said, okay, well that that'll be a

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Speaker 4: lot of fun. And so of course it's you know, midnight,

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Speaker 4: one o'clock in the morning. And this really takes us

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Speaker 4: back because when Verdicts started, it was always one o'clock

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Speaker 4: in the morning, and it was actually not all that

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Speaker 4: far from here in Washington, DC. Though I noticed the

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Speaker 4: digs have improved a little bit.

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Speaker 3: So we're in a high falutin cigar bar in DC.

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Speaker 3: Because it turns out it's actually complicated to find a

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Speaker 3: studio that will let you smoke a cigar.

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Speaker 2: I don't get to light my cigar. That's the part

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Speaker 2: that I'm really chapped about. I did look at my

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Speaker 2: wife and sender you know Anna well, And I was like,

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Speaker 2: what are the chances, for the sake of the show

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Speaker 2: in authenticity, I could smoke said cigar.

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Speaker 1: I literally did not get an answer. I got the look.

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Speaker 2: And when you're married, you guys both know the look.

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Speaker 2: Each one of our wives all have a look that

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Speaker 2: they give you.

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Speaker 1: And I was like, Okay, I got it. I know

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Speaker 1: how this is so.

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Speaker 3: Ben you are thoroughly domesticated, yes, yes, and it doesn't

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Speaker 3: pune your manhood, yes, but and I'm not going to

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Speaker 3: tell a story on myself. So when Heidi and I

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Speaker 3: were engaged, we had an apartment in DC, and I

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Speaker 3: would host poker games, and at the poker games, we

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Speaker 3: would smoke cigars and we do it at my dining

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Speaker 3: room table, and my buddies that would come over and play,

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Speaker 3: they'd be like, dude, how does Heidi let you smoke

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Speaker 3: cigars inside? And I was in my twenties and stupid,

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Speaker 3: so I'm like, look, if you're the man of the

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Speaker 3: house and you want to smoke a cigar, you smoke

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Speaker 3: a cigar in your damn house. That right, And I

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Speaker 3: said it with all the bravado of a young idiot.

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Speaker 1: Yeah. Meanwhile, he didn't own set house. It was an apartment,

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Speaker 1: but keeps part like the story.

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Speaker 3: Yeah, So then we get married. We actually get married

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Speaker 3: twenty five years ago May twenty seven, two thousand and one.

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Speaker 3: That's our twenty fifth anniversary.

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Speaker 4: Wow.

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Speaker 3: And we come back from our honeymoon, and shortly thereafter

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Speaker 3: I'm hosting a poker game and Heidi says, get the

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Speaker 3: damn cigars out of the apartment. You will never smoke

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Speaker 3: another one inside again, And in twenty five years I

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Speaker 3: never have. And so when I say you a pariod, yeah,

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Speaker 3: that's another way of saying you're actually married.

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Speaker 4: Aren't we all? Aren't we all? In a way?

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Speaker 1: There you go.

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Speaker 2: So so one of the stories for planning purposes for

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Speaker 2: all the viewick listeners and watchers next year, Michael and

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Speaker 2: I are in charge of programming.

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Speaker 1: Michael, I think we should do the show.

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Speaker 2: Together, all of us in DC, and smoke cigars together

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Speaker 2: after say the union.

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Speaker 1: What do you think, Michael? Is that a good idea?

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Speaker 4: That's a great idea. Okay, listen, I'm I'm in.

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Speaker 2: All right, good, all right, Well, you you and I

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Speaker 2: will have a group chat to set it all up

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Speaker 2: in advance and we will all be one happy family

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Speaker 2: with all of us.

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Speaker 1: Swing your cigar.

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Speaker 2: The Ferguson family got bigger over the holidays with a

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Speaker 2: new puppy, and I can tell you having one dog

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Speaker 2: that is over a decade old and a new dog

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Speaker 2: that's just months old, there's one thing they both have

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Speaker 2: in common. I want them to live a great quality life.

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Speaker 2: And that is exactly why I give them rough Greens. Now,

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Speaker 2: I've been telling you about my older dog and some

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Speaker 2: of the symptoms that he was having, slowing down and

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Speaker 2: itching and having bad breath, losing interest in playtime. That

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Speaker 2: is just part of the aging process, but it doesn't

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Speaker 2: have to be. And after just a few weeks of

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Speaker 2: rough Greens we start to see a real difference. The

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Speaker 2: stuff is truly amazing, and if you have a dog

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Speaker 2: you love, you've got to try rough Greens for your

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Speaker 2: dog for life. It not only supports long term health

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Speaker 2: by providing live, bioavailable nutrients including essential vitamins, minerals, probiotics,

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Speaker 2: and didjestive enzymes, as well as omega oils. The ingredients

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Speaker 2: work together to improve nutrition absorption and maintain joint and

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Speaker 2: muscle health and enhance overall vitality and you can witness

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Speaker 2: it happen over weeks. So if you love your dog

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Speaker 2: and you are ready to get your dog back to

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Speaker 2: the way maybe he used to be and was more playful,

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Speaker 2: then check out rough Greens.

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Speaker 1: It's so easy.

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Speaker 2: You just put it on top of your traditional dog

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Speaker 2: dog food and that is it, and dogs absolutely love it.

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Speaker 2: Go to roughcrems dot com. That's r u f F

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Speaker 2: greens dot com. Use the promo code verdict and you're

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Speaker 2: going to get a free Jumpstart trial bag. All you

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Speaker 2: got to do is add Roughcreens to your dog's food

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Speaker 2: so you cover the shipping. That's it promo code verdict

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Speaker 2: to claim you're free Jumpstart Trial bag at roughcreens dot com.

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Speaker 2: That's r U F F g R E E n

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Speaker 2: S dot com Promo code verdict.

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Speaker 3: So all right, so Ben, Ben, what do you think

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Speaker 3: of the damn State of the Union.

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Speaker 2: I actually think it was the best speech Donald Trump

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Speaker 2: has ever given. I actually thought it was one of

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Speaker 2: the most real and authentic responses from him to the

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Speaker 2: Democrats and how they were acting. I love that he

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Speaker 2: was like, you can't even stand for that, you won't

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Speaker 2: even see So.

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Speaker 3: You guys are crazy.

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Speaker 1: Yeah, you guys are crazy line and it.

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Speaker 4: Came like the third most incredible line. I mean there

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Speaker 4: were a lot of them, yeah, but.

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Speaker 1: It came stood on TV in an amazing way, did it? Yeah?

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Speaker 2: Oh, I mean it was just his look, his demeanor,

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Speaker 2: he was looking over at them. I mean, you were

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Speaker 2: there obviously, so it's going to feel different to you.

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Speaker 2: But like I'm watching, I'm going that line landed and

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Speaker 2: I think the American people probably saw it and they're like, wow,

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Speaker 2: this is going to be really good.

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Speaker 4: So I'm sitting there. It was very kind of Speaker

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Speaker 4: Johnson to invite me, and I'm sitting over the Democrats,

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Speaker 4: so I got a prime view of the Democrats. And

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Speaker 4: the first line that really brought down the House was

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Speaker 4: when President Trump looked over and it was beautifully written

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Speaker 4: and beautifully executed. He looked over, he said, Okay, I

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Speaker 4: want everyone to stand up if you agree with the

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Speaker 4: statement that America should protect Americans or something to that

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Speaker 4: effect first and not and not over illegals. Yes, and

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Speaker 4: they refuse to stand political malpractice the likes of which

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Speaker 4: one has rarely seen. And it was a brutal moment.

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Speaker 4: He totally took advantage then.

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Speaker 3: So that moment will be played in a million campaigns. Yes,

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Speaker 3: and by the way, it was the longest sustained applause

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Speaker 3: of Republicans. We stood and we applauded, and we applauded,

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Speaker 3: and he just looked over. He stepped with amazement watching them,

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Speaker 3: and and the ad rites itself. They're for illegals and

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Speaker 3: not for you. And they were given that choice, do

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Speaker 3: you stand with Americans or do you stand with illegals

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Speaker 3: and the entire party. No, we're the party of illegal

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Speaker 3: aliens and not the party of Americans.

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Speaker 4: It was shocking. So then he doubles down on I'm

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Speaker 4: skipping around a little bit in time because it escalates.

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Speaker 1: Well, by the way, this a trend.

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Speaker 2: He noticed, this is going to be the trend of

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Speaker 2: my speech. Like, I don't think he planned it this whole, Like,

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Speaker 2: you guys aren't going to stand for that. It was

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Speaker 2: the moment and then it hit and then it was like,

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Speaker 2: I'm gonna keep doing this tonight to show Americans how

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Speaker 2: crazy these guys are on the left.

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Speaker 1: That's how it came across on TV.

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Speaker 4: Well, he landed it on the transgender ideology. Kid who

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Speaker 4: had been transd and had destroyed his family, and then

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Speaker 4: the kid finally ended up in the right place, and

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Speaker 4: the he said, isn't that wonderful? The family's reunited and

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Speaker 4: everyone's flourishing, and the Dems wouldn't stand And that was

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Speaker 4: when he dealt the blow. He said, these people are crazy,

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Speaker 4: and that that too lit it up now where it

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Speaker 4: got a little dark. But it was the same strategy.

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Speaker 4: It was the same tactic, I suppose is when he

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Speaker 4: started bringing up violence, and he obviously turns to Erica Kirk,

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Speaker 4: this national hero, this perhaps the most sympathetic figure in

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Speaker 4: the entire country, certainly up there, and the Democrats didn't

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Speaker 4: want to stand for Charlie. They didn't want to stand

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Speaker 4: for Erica. Again, that itself is disgraceful. But he even

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Speaker 4: gave them an out. He said, we're a country where

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Speaker 4: we say in God we trust, and we reject political

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Speaker 4: violence of all kinds. And I was looking over some

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Speaker 4: Democrats stood for that.

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Speaker 3: I'd said, more than half on the political violence. I

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Speaker 3: looked and it was probably sixty seventy percent think that,

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Speaker 3: but a third did not, A third did not.

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Speaker 4: Third would not stand for we reject political violence of

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Speaker 4: all kinds. It was I felt a disaster of optics

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Speaker 4: for democrats and a disaster of morals.

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Speaker 3: Well, and on the we don't stand for political violence.

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Speaker 3: The reason two thirds stood is Schumer stood. By the way,

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Speaker 3: have you ever noticed how much Chuck Schumer looks like

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Speaker 3: the villain and the Smurfs? What's what's the name? I

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Speaker 3: don't even remember the name of the villain? Like the

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Speaker 3: curved over like like you know, he's hunched. He has

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Speaker 3: kind of a hunchback.

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Speaker 4: Maybe a penguin from Batman was what I got.

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Speaker 3: Yeah, yeah, but he's sort of no.

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Speaker 1: I couldn't agree with you more.

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Speaker 2: By the way, you guys are in there so you

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Speaker 2: may not know this, So I may break news to you.

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Speaker 2: Did you, guys see what Rashid Talib was chanting while

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Speaker 2: everyone was chanting USA, USA, At one of the points

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Speaker 2: in the speech, she was chanting kkk kkk kkk.

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Speaker 3: Really, yes, person advertising credit credit for.

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Speaker 1: You, guys.

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Speaker 2: I don't know if you can see, but let's be

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Speaker 2: our good friend. Steve Guess put it out there. Watch

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Speaker 2: Democrat representative to leave. She's chanting KKK while everyone else

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Speaker 2: is cheering USA.

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Speaker 3: Well, the KKK was founded by democrats. It was almost

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Speaker 3: exclusively populated by Democrats. Nathan Bedford Forrest, the founder of

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Speaker 3: the Klan, was a delegate, a delegate to the DNC

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Speaker 3: national Convention in eighteen sixty. He was a national delegate.

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Speaker 3: And you look at the Klan was founded by Democrats.

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Speaker 3: Jim Crow laws were founded by Democrats. Segregation was enforced

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Speaker 3: by Democrats. They have been the party of racial bigotry

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Speaker 3: the entire history. And by the way, our party, I mean,

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Speaker 3: we often refer to our party as the Party of Lincoln,

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Speaker 3: but we were literally founded to abolished slavery, right, That's

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Speaker 3: why the Republican Party came together. And by the way

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Speaker 3: we did. The first Republican president is who signed the

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Speaker 3: Emancipation Proclamation.

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Speaker 4: Well, you know on racial animus and Rashida Talib, did

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Speaker 4: you see. I don't know if you caught this, but

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Speaker 4: when President Trump said, what a wonderful thing. We released

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Speaker 4: all the hostages. We got the ostage released, both dead

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Speaker 4: and alive. We returned even their remains, and most people

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Speaker 4: stood up. I looked, Ilhan Omar and Rashida Talib were

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Speaker 4: sitting down.

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Speaker 3: Yep.

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Speaker 4: Yeah.

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Speaker 3: And by the way, mean at one point they heckled

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Speaker 3: when there was a reference to the end of the

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Speaker 3: war in Gaza. They heckled and screamed genocide. I mean,

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Speaker 3: that's that's who their party is.

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Speaker 2: Well, and you look at tonight there was four Democrat

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Speaker 2: responses like that's not good for your party when you're.

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Speaker 1: That broken Moore.

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Speaker 4: Who were the four?

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Speaker 2: So you had one in Spanish, you had one that

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Speaker 2: was a progressive radical, you had one that was like

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Speaker 2: the next level monter, and then you had the Virginia governor.

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Speaker 2: You had four official responses.

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Speaker 3: Sorry, I'm going to have to disagree with you. I

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Speaker 3: don't even know who they were, but there are four

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Speaker 3: who were progressive radicals.

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Speaker 1: Well, I agree with you.

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Speaker 2: Yes, I'm giving you their their official statement, but they

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Speaker 2: literally had Hey, depending on how crazy you are, if

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Speaker 2: you're a Marxist, socialist, communist, or a radical lefty or

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Speaker 2: like the transgender or maybe just like a normal Democrat,

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Speaker 2: here's your all of your responses for you, and we'll

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Speaker 2: have all of those for you.

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Speaker 3: So right after the State of the Union, I did Hannity,

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Speaker 3: and as I was sitting there waiting to go on,

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Speaker 3: Fox wouldn't put Hannity on air until Spamberger finished her response.

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Speaker 3: So I sit down and put my earpiece in and

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Speaker 3: it's just her voice screeching and loud. And I turned

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Speaker 3: to Handy and I said, Sean, I haven't led nearly

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Speaker 3: a wicked enough life to deserve to listen to this.

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Speaker 3: As I just turned the volume off, I'm like, I can't.

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Speaker 3: There's just a limit to how much pain I can endure.

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Speaker 4: But you know what's very telling about span Berger is

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Speaker 4: you had Andy Bisheer come out, who is a serious

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Speaker 4: presidential candidate Kentucky governor, and he said span Berger is

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Speaker 4: the model for Democrats in the midterms, which means translation

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Speaker 4: will run. They will run as it means live, they'll lie,

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Speaker 4: they'll run as moderates, and they will immediately enact the

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Speaker 4: most radical leftist agenda you could maybe imagine.

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Speaker 1: I love by the way.

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Speaker 2: I know you're a man of the people and you

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Speaker 2: do all of your own yard work. But if you

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Speaker 2: lived in Virginia's crazy wearing French cuffs, that would be

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Speaker 2: only that guy right there. I just want to be

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Speaker 2: the one where the big cloud of smoke they just

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Speaker 2: went up in the air, that would be that guy's cufflings.

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Speaker 1: Yeah, that's the one there, So they're there.

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Speaker 3: Look, it is impressive because at Yale he wore a cravat.

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Speaker 4: I'm going more populous as I age, and I.

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Speaker 3: Wish Michael had to sign it before we knew it.

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Speaker 1: Those work.

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Speaker 3: But I'm also impressed because Ben at old miss never

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Speaker 3: wore pants, so so we're kind of reaching a kind

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Speaker 3: of middle down.

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Speaker 2: Actually, a man of the people, a man of Prade

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Speaker 2: and Gucci.

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Speaker 4: It just it is.

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Speaker 1: It is what it is.

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Speaker 2: No, But like in Virginia, they've gone so crazy. They're

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Speaker 2: they're they literally have laws written right now that she's

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Speaker 2: in favor of to ban gasoline powered weed eaters and blowers,

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Speaker 2: and then they're putting a ten percent tax on electric blowers,

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Speaker 2: so they're going to charge even more to be green.

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Speaker 1: That's Virginia.

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Speaker 3: I love that the President brought up that to shovel

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Speaker 3: snow in New York under multiple IDs, you need two

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Speaker 3: forms of ID, which I actually had been advising. I

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Speaker 3: think humor is a really powerful way to drive this point.

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Speaker 3: And I think that and also the fact that John

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Speaker 3: ossoff to get to his rally against photo I d

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Speaker 3: for voting, you had to show an idea, you.

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Speaker 1: Had voto, you had to show voter ID.

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Speaker 4: Yeah, this kick was the key, I mean, really the

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Speaker 4: reason that the State of the Union succeeded. And I

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Speaker 4: agree it was one of Trump's best speeches. The Warsaw

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Speaker 4: speech in the first term was also an excellent speech,

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Speaker 4: but this was up there, and I think the reason

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Speaker 4: it succeeded was the President had to reassure voters who

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Speaker 4: voted for him on mass you know, he won the

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Speaker 4: popular vote. He had to reassure them that we are

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Speaker 4: still the party of normal, of safety, of flourishing, of sanity,

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Speaker 4: of sanity where I think some voters you have this

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Speaker 4: question after the Minneapolis immigration gocement. Why is it that

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Speaker 4: voters still support mass deportations but oppose ice supporting people.

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Speaker 4: You know, that's kind of a contradiction. Why is it

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Speaker 4: that the fundamentals of the economy are looking pretty good?

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Speaker 4: You know, record ized stock market, pretty good, inflation, pretty good,

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Speaker 4: job numbers, pretty good GDP could have been better if

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Speaker 4: not for the government shutdown that the Dems gave us.

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Speaker 4: Why is it that they're a little the voters are

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Speaker 4: worried about the economy, but the economy seems to be

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Speaker 4: doing well. It's it's this fear that we're in a

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Speaker 4: precarious moment. And so I think both sides went into

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Speaker 4: this saying we want to be the party of stability,

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Speaker 4: of security, of normal and flourishing. That's why Hakim Jefferies

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Speaker 4: told the Democrats, hey, be cool and if you can't

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Speaker 4: be cool, don't show up.

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Speaker 3: You know, I think it's so Green got thrown out.

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Speaker 4: Al Green couldn't resist.

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Speaker 2: At least at least he had a big sign that

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Speaker 2: he got to walk around with, right he felt, he

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Speaker 2: felt just.

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Speaker 3: So and as signs said, blacks aren't apes. Yeah, And

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Speaker 3: I turned. I was sitting next to Todd Young and

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Speaker 3: I said, wow, is out Green protesting? Gavin Newsom, Yeah, yeah.

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Speaker 4: Look like it.

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Speaker 3: By the way, Gavin K. Newsom, he's like the perfect

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Speaker 3: Democrat made in the laboratory. An idiot.

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Speaker 1: He says racist, open racist. Yeah, he says racist.

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Speaker 3: Who goes in front of a crowd of African Americans

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Speaker 3: and goes, I'm just like you, You're stupid, and I

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Speaker 3: am too unbelievable and I can't when I got a

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Speaker 3: nine to sixty on the sat which, by the way,

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Speaker 3: Michael got a nine to sixty on the verbal portion

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Speaker 3: of his set. Yeah, and yes, I know it's only

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Speaker 3: eight hundred, but still.

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Speaker 2: Yes, I love that you just had to geek out

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Speaker 2: and show the geeks that you know the max is

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Speaker 2: an eight hundred.

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Speaker 1: There, to be clear, I can't remember I took.

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Speaker 3: The damn thing and I did anyone doubt I was

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Speaker 3: a geek?

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Speaker 1: Yeah, that's I just we have to remind you though,

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Speaker 1: every once in a while.

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Speaker 3: Let's be clear on things like that. I popped, Michael,

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Speaker 3: mostly because my own vulnerabilities are so glaring on that.

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Speaker 4: No, listen the admission rate for Princeton, I think.

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Speaker 2: Hold on, Let's let's be clear. Both of you know

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Speaker 2: your scores right by heart.

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Speaker 4: What you made?

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Speaker 1: What were you? Michael? Don't lie?

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Speaker 4: It was higher than Gavin Newsom's. I'll tell you that.

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Speaker 3: No, what was it?

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Speaker 1: I want to know. I want to know what it was.

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Speaker 4: Do you want to know the irony? I'll tell you

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Speaker 4: the irony of my essay.

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Speaker 2: To oh, I can't this is this is him delaying

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Speaker 2: the brilliance keep going.

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Speaker 4: I did. I did get on the math and the verbal.

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Speaker 4: I got a perfect score. That's what I was. However,

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Speaker 4: you don't want to know the irony. There was at

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Speaker 4: that time the writing component. There was a writing thing

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Speaker 4: that they added that was kind of optional or experimental.

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Speaker 4: And the funny thing is I did not get a

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Speaker 4: perfect score. I actually don't remember the exact it was less.

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Speaker 4: It was the six eighty or something. But the funny

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Speaker 4: thing is that's the thing I went into and my

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Speaker 4: most famous book has no words in it, so it

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Speaker 4: ended up it ended up working out just fine. Uh

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Speaker 4: see what was your newsome?

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Speaker 3: I am going to decline to answer on the advice accounts,

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Speaker 3: oh wow, because I am in a politics and running

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Speaker 3: around like squawking about your SAT score?

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Speaker 2: Did you have two in the three categories? Like Michael,

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Speaker 2: I just want to know we can at least that.

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Speaker 4: I did not any of that.

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Speaker 3: I did not and I did well on the test,

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Speaker 3: But I am I'm just telling you I may not

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Speaker 3: know much about politics, but I am quite certain it

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Speaker 3: is dumb as hell you say this was my SAT score?

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Speaker 2: Like to prove how much of a man of the

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Speaker 2: people I am. I walked in and took the test.

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Speaker 2: I forgot my calculator and I looked at the lady

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Speaker 2: that does the test, and I said, what is the

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Speaker 2: minimum for NCAA requirements? Can I do it without a calculator?

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Speaker 2: And she goes, I'm intrigued to see if you can.

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Speaker 2: And I was above the NCAA minimum without a calculator,

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Speaker 2: and I took it once and the score came in

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Speaker 2: and my mom was.

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Speaker 1: Furious when it came to mail. She's like, you're taking

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Speaker 1: it again. She was so mad.

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Speaker 2: I forgot my remember the TI eighty three or whatever

439
00:21:59,160 --> 00:22:01,560
Speaker 2: it was like, you know, like the calculator you took

440
00:22:01,560 --> 00:22:03,199
Speaker 2: with you. And I was like, I forgot it to

441
00:22:03,560 --> 00:22:05,480
Speaker 2: my Mom's an educator, she was like, you're taking it.

442
00:22:05,560 --> 00:22:07,000
Speaker 1: I was like, no, I'm not. I'm above the minimum

443
00:22:07,040 --> 00:22:09,000
Speaker 1: for NCAA requirements. That's all I care about. That way.

444
00:22:09,000 --> 00:22:10,440
Speaker 1: I took it once, all right.

445
00:22:10,520 --> 00:22:15,040
Speaker 3: So I'm gonna tell you sat L SATs story. So

446
00:22:15,800 --> 00:22:19,159
Speaker 3: when I show up at college, my first job, I

447
00:22:19,200 --> 00:22:23,760
Speaker 3: worked at Princeton Media Services videotaping things and like a

448
00:22:24,000 --> 00:22:26,280
Speaker 3: run and operate a video camera and like videotape all

449
00:22:26,280 --> 00:22:28,560
Speaker 3: sorts of different programs and things. And that paid either

450
00:22:28,640 --> 00:22:31,680
Speaker 3: seven or eight bucks an hour. And then I got

451
00:22:31,760 --> 00:22:34,399
Speaker 3: hired by the prince to review to teach the SAT

452
00:22:35,280 --> 00:22:37,240
Speaker 3: which was a much better job because it paid fifteen

453
00:22:37,240 --> 00:22:40,400
Speaker 3: bucks an hour. And so I'm like hot diggity damn,

454
00:22:40,480 --> 00:22:42,680
Speaker 3: I could do that math and fifteen is better than seven.

455
00:22:43,119 --> 00:22:43,679
Speaker 1: Yeah.

456
00:22:43,800 --> 00:22:46,040
Speaker 3: So so for like a year or two I taught

457
00:22:46,040 --> 00:22:49,520
Speaker 3: the SAT. I guess a year and then I'm like, wait,

458
00:22:50,160 --> 00:22:53,720
Speaker 3: there's no margin in teaching the SAT. I've already taken it.

459
00:22:53,760 --> 00:22:55,480
Speaker 3: And I knew I wanted to go to law school.

460
00:22:55,720 --> 00:22:58,000
Speaker 3: So I went to the course and said, hey, can

461
00:22:58,040 --> 00:23:02,000
Speaker 3: I teach the L SATs? And so they paid me

462
00:23:02,960 --> 00:23:06,080
Speaker 3: to train me to teach the L SAT, which was

463
00:23:06,200 --> 00:23:08,399
Speaker 3: useful because I had to, in fact teach the L set.

464
00:23:08,560 --> 00:23:10,320
Speaker 3: So when I was a sophomore in college, I was

465
00:23:10,359 --> 00:23:13,040
Speaker 3: teaching the L set and the students would say, well,

466
00:23:13,040 --> 00:23:13,720
Speaker 3: what score did.

467
00:23:13,560 --> 00:23:15,840
Speaker 1: You day care right now?

468
00:23:17,200 --> 00:23:19,480
Speaker 3: Well, no, no, it was there were real classes. But

469
00:23:19,960 --> 00:23:23,160
Speaker 3: the hysterical story is, so I taught the L set

470
00:23:23,160 --> 00:23:27,480
Speaker 3: for a year and then so junior year, we're taking

471
00:23:27,560 --> 00:23:30,080
Speaker 3: the L set. And you guys both know my college roommate.

472
00:23:30,119 --> 00:23:32,280
Speaker 3: It was my law school roommate, and other than Heidi,

473
00:23:32,359 --> 00:23:38,200
Speaker 3: my best friend of the world. David Panton, Jamaican, incredibly talented,

474
00:23:39,560 --> 00:23:42,680
Speaker 3: became Barack Obama, was the first black president the Harvard

475
00:23:42,720 --> 00:23:46,600
Speaker 3: Law Review. David was the second black president the Harvard Larview. So,

476
00:23:46,640 --> 00:23:48,440
Speaker 3: but when David and I are in college, we're both

477
00:23:48,440 --> 00:23:51,760
Speaker 3: taking the l set. The night before the l set,

478
00:23:52,359 --> 00:23:55,080
Speaker 3: David and I like complete morons. Did I mention that

479
00:23:55,119 --> 00:23:58,639
Speaker 3: we were like nineteen or twenty? I guess twenty. We

480
00:23:58,680 --> 00:24:02,720
Speaker 3: stayed up all night playing Intent. We literally did not sleep.

481
00:24:02,760 --> 00:24:05,720
Speaker 3: We pulled an all nighter playing Mario Brothers on Nintendo.

482
00:24:07,080 --> 00:24:10,359
Speaker 3: The still shout out by the way O. The l

483
00:24:10,440 --> 00:24:14,359
Speaker 3: SAT was in Newark, so I had my first car

484
00:24:14,560 --> 00:24:18,040
Speaker 3: was a green seventy eight Ford Fairmont. So I drove

485
00:24:18,119 --> 00:24:21,119
Speaker 3: us to Newark. We take the l set. It was

486
00:24:21,160 --> 00:24:23,479
Speaker 3: at eight am, so we leave it like six six

487
00:24:23,640 --> 00:24:26,359
Speaker 3: thirty go sit for the test. It's like four hours

488
00:24:26,440 --> 00:24:29,000
Speaker 3: or so. So we're coming home, coming back to college

489
00:24:29,040 --> 00:24:32,560
Speaker 3: at like one in the afternoon, and we're driving back

490
00:24:32,600 --> 00:24:35,359
Speaker 3: and I said, so, David, how did it go? And

491
00:24:35,400 --> 00:24:38,280
Speaker 3: he said, well, during one of the sections, I put

492
00:24:38,320 --> 00:24:43,199
Speaker 3: my head down and fell asleep, And he said, I

493
00:24:43,240 --> 00:24:46,160
Speaker 3: woke up with two minutes left, and I just filled

494
00:24:46,160 --> 00:24:48,920
Speaker 3: out B for every question. And he turns to me

495
00:24:48,960 --> 00:24:50,439
Speaker 3: and says, do you think b' is the right answer?

496
00:24:51,600 --> 00:24:54,000
Speaker 3: And so it turns out you can cancel your l

497
00:24:54,080 --> 00:24:57,080
Speaker 3: SAT score on the spot if you want to see

498
00:24:57,119 --> 00:24:59,520
Speaker 3: what up and just canceled a score? Oh that's the

499
00:24:59,560 --> 00:25:01,239
Speaker 3: poor guy had to take it again, and then he did.

500
00:25:01,280 --> 00:25:03,000
Speaker 3: He did well the second time he took it, but

501
00:25:03,040 --> 00:25:06,879
Speaker 3: he literally I laughed so hard I almost crashed the car.

502
00:25:07,640 --> 00:25:10,159
Speaker 3: But I ended up keeping him up all night and

503
00:25:10,160 --> 00:25:11,560
Speaker 3: making him fall asleep during the elkm.

504
00:25:11,600 --> 00:25:13,840
Speaker 4: What if all the answers were be If they could

505
00:25:13,840 --> 00:25:15,720
Speaker 4: have been, you might have missed out on the perfect score.

506
00:25:15,920 --> 00:25:18,840
Speaker 2: You could have the perfect score for the next sixty seconds.

507
00:25:18,920 --> 00:25:21,240
Speaker 2: Can you hit pause on your life and just think

508
00:25:21,280 --> 00:25:25,640
Speaker 2: about this? In communities around the world, millions of children

509
00:25:26,000 --> 00:25:30,160
Speaker 2: like Lucy faced the crushing weight of poverty, hunger, illness,

510
00:25:30,480 --> 00:25:34,600
Speaker 2: and a lack of opportunity dim their bright futures. But

511
00:25:34,680 --> 00:25:40,480
Speaker 2: through compassionate international and local churches, everything is changing. Lucy

512
00:25:40,600 --> 00:25:45,040
Speaker 2: receives nourishing food, vital medical care, and the chance to

513
00:25:45,240 --> 00:25:50,040
Speaker 2: go to school. She learns life skills, develops God given talents,

514
00:25:50,480 --> 00:25:54,199
Speaker 2: and builds a loving relationship with Jesus. It's a journey

515
00:25:54,240 --> 00:25:59,240
Speaker 2: from vulnerability to empowerment, and it's sparked literally by your love.

516
00:25:59,440 --> 00:26:03,560
Speaker 2: This transfer information echoes far beyond Lucy, impacting her family,

517
00:26:03,920 --> 00:26:07,080
Speaker 2: the community, and shaping the future of her nation. And

518
00:26:07,119 --> 00:26:11,240
Speaker 2: you can make this profound difference right now. So join

519
00:26:11,359 --> 00:26:15,879
Speaker 2: me in sponsoring a child. Visit compassion dot com today,

520
00:26:16,040 --> 00:26:20,320
Speaker 2: you'll empower life and change the world. That's compassion dot

521
00:26:20,359 --> 00:26:21,560
Speaker 2: com to learn more.

522
00:26:22,560 --> 00:26:25,560
Speaker 4: The Newsome thing is really frustrating because right now he

523
00:26:25,680 --> 00:26:28,480
Speaker 4: is the leading candidate for the Democrats, I think with that.

524
00:26:28,600 --> 00:26:30,720
Speaker 1: Question, and I'm so happy he is bettered at.

525
00:26:30,640 --> 00:26:34,600
Speaker 4: The Munich Security Conference, Newsome's still the leading candidate. And

526
00:26:34,760 --> 00:26:37,000
Speaker 4: on the one hand, he has these social media posts

527
00:26:37,320 --> 00:26:42,040
Speaker 4: where he's sitting there performatively reading Beloved by Tony Morrison,

528
00:26:42,240 --> 00:26:43,960
Speaker 4: performatively reading all these books that.

529
00:26:43,880 --> 00:26:46,840
Speaker 3: Are so By the way, are you aware that Newsom

530
00:26:46,920 --> 00:26:50,320
Speaker 3: let himself on fire in a social media exchange about verdicts.

531
00:26:51,520 --> 00:26:51,840
Speaker 1: No.

532
00:26:52,720 --> 00:26:55,880
Speaker 3: So, coming back from Munich, we we did a whole

533
00:26:55,960 --> 00:27:00,000
Speaker 3: show on Munich, lighting up AOC and lighting up news

534
00:27:01,080 --> 00:27:05,359
Speaker 3: and Newsom, and Munich said Donald Trump is the first

535
00:27:05,400 --> 00:27:09,240
Speaker 3: president in history to federalize the National Guard and so

536
00:27:09,400 --> 00:27:13,480
Speaker 3: on verdict, I said, Gavin Newsom is historically illiterate.

537
00:27:13,880 --> 00:27:19,520
Speaker 4: Yes, uh, actually you talked about it if your use

538
00:27:19,560 --> 00:27:24,520
Speaker 4: of the English language properly and so I said that,

539
00:27:24,600 --> 00:27:31,920
Speaker 4: and then he tweeted out he said, calling someone who's

540
00:27:32,000 --> 00:27:37,000
Speaker 4: dyslexic illiterate is a new low, even for Cruise.

541
00:27:38,760 --> 00:27:42,120
Speaker 3: And mind you, who knew he was dyslexic. I didn't

542
00:27:42,160 --> 00:27:42,639
Speaker 3: know that.

543
00:27:45,560 --> 00:27:47,560
Speaker 2: For a guy that then also claims in a white

544
00:27:47,560 --> 00:27:49,560
Speaker 2: podcast so he can read a three hundred page book

545
00:27:49,560 --> 00:27:52,040
Speaker 2: in two hours. Don't forget that came out as well.

546
00:27:52,119 --> 00:27:54,560
Speaker 2: So so much for being majorly dyslexic.

547
00:27:54,640 --> 00:27:58,600
Speaker 3: Right, but but then so so we had we actually

548
00:27:58,640 --> 00:28:02,439
Speaker 3: had twin responses. So my staff came up with a

549
00:28:02,480 --> 00:28:08,080
Speaker 3: response with a gift from Zoolander, and I wrote a

550
00:28:08,119 --> 00:28:13,920
Speaker 3: response and said something like I didn't say you couldn't read,

551
00:28:14,000 --> 00:28:18,720
Speaker 3: you clown, I said you were historically illiterate because you

552
00:28:18,760 --> 00:28:21,800
Speaker 3: apparently have no idea about the civil rights movement and

553
00:28:21,840 --> 00:28:26,000
Speaker 3: the fact that Eisenhower federalized the National Guard. And this

554
00:28:26,119 --> 00:28:29,080
Speaker 3: is actually a cool I think this is the first

555
00:28:29,119 --> 00:28:31,879
Speaker 3: tweet I've ever said that was partially written by AI.

556
00:28:33,840 --> 00:28:38,320
Speaker 3: So I went to Google and I just typed in

557
00:28:38,880 --> 00:28:45,120
Speaker 3: Eisenhower federalizing National Guard, and instantaneously several paragraphs pop up

558
00:28:45,160 --> 00:28:48,479
Speaker 3: that are beautifully researched, and so I cut and paste

559
00:28:48,560 --> 00:28:50,800
Speaker 3: one of them that said on date and I didn't

560
00:28:50,800 --> 00:28:54,520
Speaker 3: know the date. You know, Eisenhower signed executive order number,

561
00:28:54,520 --> 00:28:56,800
Speaker 3: and I didn't know the executive order number. But it

562
00:28:56,840 --> 00:28:59,640
Speaker 3: was like this beautifully researched. So the second half of

563
00:28:59,640 --> 00:29:05,120
Speaker 3: the tw I actually wrote that tweet while playing hoops. So,

564
00:29:05,200 --> 00:29:06,880
Speaker 3: as you guys know, I play hoops twice a week,

565
00:29:06,920 --> 00:29:09,720
Speaker 3: so it was like, in between games on my phone,

566
00:29:10,000 --> 00:29:12,680
Speaker 3: I'd like type the first half, put.

567
00:29:12,600 --> 00:29:15,800
Speaker 1: It the last way, wait, time out, time out? I

568
00:29:15,800 --> 00:29:16,080
Speaker 1: got it.

569
00:29:16,480 --> 00:29:19,400
Speaker 2: You opened up something there you set in between games?

570
00:29:19,600 --> 00:29:20,960
Speaker 2: Were you the odd man out?

571
00:29:21,680 --> 00:29:21,880
Speaker 3: Yeah?

572
00:29:22,160 --> 00:29:22,440
Speaker 4: Did you?

573
00:29:22,600 --> 00:29:24,800
Speaker 1: I lost? I just wanted to get that on the right.

574
00:29:25,040 --> 00:29:25,320
Speaker 3: Michael.

575
00:29:25,400 --> 00:29:27,080
Speaker 1: Did you hear what he said? Michael? Can you make

576
00:29:27,120 --> 00:29:29,360
Speaker 1: sure it's Mike's working? He just did? He say he lost?

577
00:29:29,360 --> 00:29:31,120
Speaker 1: It's going to be very clear, but I think that

578
00:29:31,280 --> 00:29:33,080
Speaker 1: was recorded. Okay, got it?

579
00:29:33,120 --> 00:29:36,160
Speaker 2: Okay, Yeah, I'm glad that we got that. That was

580
00:29:36,200 --> 00:29:38,160
Speaker 2: worth staying. I played for just that right there. Keep

581
00:29:38,200 --> 00:29:40,040
Speaker 2: going with your story, sir, This is getting good.

582
00:29:40,520 --> 00:29:43,560
Speaker 3: So but when I sent my tweet, my social media

583
00:29:43,600 --> 00:29:46,040
Speaker 3: team was all mad and they're like, wait, we like

584
00:29:46,080 --> 00:29:49,600
Speaker 3: our Zoolander tweet, and I said no, no, no, put them

585
00:29:49,600 --> 00:29:53,840
Speaker 3: both out. Yeah, and let's have an experiment let's see

586
00:29:53,920 --> 00:29:57,320
Speaker 3: who wins. Who gets more like like you've got mine

587
00:29:57,600 --> 00:30:02,840
Speaker 3: and you know you guys, and so it was close.

588
00:30:04,080 --> 00:30:06,560
Speaker 3: I only beat them by two hundred and fifty percent.

589
00:30:07,480 --> 00:30:09,600
Speaker 3: So they got I think four hundred thousand engagements and

590
00:30:09,640 --> 00:30:13,080
Speaker 3: I got one point one million. But I will confess

591
00:30:13,200 --> 00:30:18,240
Speaker 3: making an admission on this. Although they didn't get nearly

592
00:30:18,280 --> 00:30:22,479
Speaker 3: the reach. The comments on the Zoolander gift, the people

593
00:30:22,560 --> 00:30:24,680
Speaker 3: that saw it way better loved you.

594
00:30:24,800 --> 00:30:25,000
Speaker 4: Yeah.

595
00:30:25,120 --> 00:30:27,120
Speaker 3: I mean they're just like the best tweet in the

596
00:30:27,200 --> 00:30:29,960
Speaker 3: history of the Internet, like they were, so I think

597
00:30:30,000 --> 00:30:33,040
Speaker 3: it was a smaller niche audience. Yeah, but the ones

598
00:30:33,080 --> 00:30:34,200
Speaker 3: that hit it really hit.

599
00:30:34,280 --> 00:30:34,640
Speaker 4: That's good.

600
00:30:34,920 --> 00:30:36,920
Speaker 2: It's almost like as good as when you were the

601
00:30:37,000 --> 00:30:39,600
Speaker 2: Zodiac Killer. Maybe you still are, but you know those

602
00:30:39,760 --> 00:30:41,280
Speaker 2: those never make me not laugh.

603
00:30:41,800 --> 00:30:43,600
Speaker 3: What do you mean when I was the Zodiac Yeah,

604
00:30:43,720 --> 00:30:45,160
Speaker 3: exactly when did I?

605
00:30:45,160 --> 00:30:48,640
Speaker 4: I haven't shaped the statute of limitations recently. Yeah, but

606
00:30:48,880 --> 00:30:50,600
Speaker 4: I think you're safe now.

607
00:30:50,640 --> 00:30:55,640
Speaker 3: So do you know that? In twenty sixteen, an actual

608
00:30:55,840 --> 00:30:59,600
Speaker 3: poll done in the state of Florida found thirty eight

609
00:30:59,680 --> 00:31:02,520
Speaker 3: percent and of Floridians believed that I could be the

610
00:31:02,560 --> 00:31:07,160
Speaker 3: Zodiac Killer. I to be clear, the Zodiac Killer killed

611
00:31:07,160 --> 00:31:09,480
Speaker 3: at least five people in northern California in the late

612
00:31:09,560 --> 00:31:12,719
Speaker 3: nineteen sixties. I was born in nineteen seventy.

613
00:31:13,280 --> 00:31:15,880
Speaker 4: Yeah, yeah, and yet maybe.

614
00:31:15,880 --> 00:31:18,600
Speaker 3: Nearly half of Floridians believed I could be the Zodiac Killer.

615
00:31:18,720 --> 00:31:21,720
Speaker 2: Yeah yeah, that's you could have lied about your age.

616
00:31:22,520 --> 00:31:24,880
Speaker 2: You could have lied about your age. This is how

617
00:31:24,920 --> 00:31:26,000
Speaker 2: conspiracies begin.

618
00:31:26,800 --> 00:31:30,880
Speaker 3: I did have one one rally where this kid had

619
00:31:30,880 --> 00:31:33,480
Speaker 3: a sign. It's like twenty and he had a sign

620
00:31:33,480 --> 00:31:36,120
Speaker 3: that said are you the Zodiac Killer? And I went

621
00:31:36,200 --> 00:31:37,800
Speaker 3: up to him. I put my hand on his shoulder.

622
00:31:37,800 --> 00:31:41,520
Speaker 3: I said, son, if I was the Zodiac Killer, would

623
00:31:41,560 --> 00:31:43,400
Speaker 3: you really want to be here with that sign right now?

624
00:31:43,480 --> 00:31:46,880
Speaker 4: Yeah? You know. This actually was the point, which is

625
00:31:46,920 --> 00:31:49,120
Speaker 4: how we got onto new him the sign. I don't

626
00:31:49,120 --> 00:31:51,360
Speaker 4: know if you guys saw the memes that were going around.

627
00:31:51,720 --> 00:31:55,120
Speaker 4: So I lost a bet on this. I bet that

628
00:31:55,160 --> 00:31:58,600
Speaker 4: the Democrats would not have a member ejected from the speech.

629
00:31:58,800 --> 00:31:59,480
Speaker 4: I thought they might have.

630
00:32:01,360 --> 00:32:02,680
Speaker 1: Did you actually believe that?

631
00:32:02,680 --> 00:32:05,160
Speaker 4: Though I didn't think that. I thought they would listen

632
00:32:05,200 --> 00:32:07,400
Speaker 4: to HACKEM Jefferies and try to chill. But they can't know.

633
00:32:07,480 --> 00:32:09,520
Speaker 4: Egreen has no chill, so he opens up.

634
00:32:09,560 --> 00:32:12,080
Speaker 3: By the way, there's a very real chance Al Green

635
00:32:12,200 --> 00:32:15,560
Speaker 3: loses his Democrat primary a week from now. Really, yeah, really,

636
00:32:15,720 --> 00:32:19,320
Speaker 3: he's actually in jeopardy. And so I think the antics

637
00:32:19,360 --> 00:32:21,720
Speaker 3: were partially. Of course, he did his antics last year,

638
00:32:22,160 --> 00:32:26,560
Speaker 3: like waving his cane, which like to embody a grumpy

639
00:32:26,600 --> 00:32:30,040
Speaker 3: old man, like get off my lawn, you kids.

640
00:32:30,120 --> 00:32:32,800
Speaker 4: It's perfect, but he made it. He made a real

641
00:32:32,880 --> 00:32:35,560
Speaker 4: optical error, which is he unfurled the sign, which from

642
00:32:35,560 --> 00:32:37,840
Speaker 4: my angle in the gallery I could not see, and

643
00:32:38,120 --> 00:32:39,720
Speaker 4: so I said, wow, what's he saying? And I guess

644
00:32:39,720 --> 00:32:42,880
Speaker 4: the sign said black people aren't apes, But the problem

645
00:32:42,960 --> 00:32:48,520
Speaker 4: was the way he was holding it, the one, the

646
00:32:48,520 --> 00:32:50,640
Speaker 4: one that I saw, and maybe one of those said

647
00:32:50,640 --> 00:32:54,120
Speaker 4: that too, the one I also said black people rent apes,

648
00:32:54,760 --> 00:32:57,719
Speaker 4: which was like an unfortunate any way you slice it,

649
00:32:57,720 --> 00:33:00,400
Speaker 4: These are very unfortunate optics, And I thought, you know,

650
00:33:00,640 --> 00:33:04,760
Speaker 4: the Democrat leader in the house asked one thing. He said, hey, guys,

651
00:33:05,160 --> 00:33:10,360
Speaker 4: please don't look crazy during the speech. And as the

652
00:33:10,400 --> 00:33:14,960
Speaker 4: President is walking into the room, al Green unfurls this sign,

653
00:33:15,000 --> 00:33:18,280
Speaker 4: and I thought, you have the discipline of a fruitfly,

654
00:33:18,560 --> 00:33:21,760
Speaker 4: Like there is no chance they didn't make it five minutes.

655
00:33:22,320 --> 00:33:23,160
Speaker 1: They're insane all right.

656
00:33:23,200 --> 00:33:25,360
Speaker 2: I have to ask you guys being there, because one

657
00:33:25,360 --> 00:33:28,160
Speaker 2: of the best lines of the whole speech, and that

658
00:33:28,480 --> 00:33:30,160
Speaker 2: was just one of those little kind of tit for

659
00:33:30,240 --> 00:33:33,200
Speaker 2: tatlines and it but it worked, was when he was

660
00:33:33,240 --> 00:33:37,760
Speaker 2: talking about insider trading and then he said Nancy Pelosi's name,

661
00:33:38,560 --> 00:33:42,680
Speaker 2: And it was amazing on TV because if you didn't

662
00:33:42,680 --> 00:33:43,600
Speaker 2: know the story.

663
00:33:43,400 --> 00:33:46,480
Speaker 1: Free one, you immediately went to every one of us

664
00:33:46,560 --> 00:33:47,160
Speaker 1: was there? Yeah?

665
00:33:47,200 --> 00:33:49,920
Speaker 2: Ever and I was too, But like if you didn't know,

666
00:33:50,560 --> 00:33:53,440
Speaker 2: and then you saw the reaction and you heard the

667
00:33:54,120 --> 00:33:56,200
Speaker 2: hissing bit whatever it was in the hall. I don't

668
00:33:56,200 --> 00:33:58,120
Speaker 2: know exactly what they were saying. It was like they

669
00:33:58,120 --> 00:34:00,720
Speaker 2: were like, you can't say her name like that. You

670
00:34:00,840 --> 00:34:04,560
Speaker 2: know that everybody went and googled insider trading, Nancy Pelosi

671
00:34:05,000 --> 00:34:07,360
Speaker 2: and then they learned about the story. Like they literally

672
00:34:07,400 --> 00:34:10,439
Speaker 2: helped him sell the story. What was the reaction from

673
00:34:10,440 --> 00:34:13,040
Speaker 2: the were Democrats mad or what was the reaction.

674
00:34:13,920 --> 00:34:16,960
Speaker 3: You were on the floor, Oh, look, they were mad constantly.

675
00:34:17,080 --> 00:34:19,360
Speaker 3: So is there one I will say though, there's a

676
00:34:19,440 --> 00:34:22,759
Speaker 3: difference from this year and last year. So last year

677
00:34:22,800 --> 00:34:26,040
Speaker 3: they went through the entire state of the Union and

678
00:34:26,120 --> 00:34:28,920
Speaker 3: they didn't applaud they didn't applaud when Trump walked in.

679
00:34:30,080 --> 00:34:32,440
Speaker 3: They didn't applaud for anything. They just sat for the

680
00:34:32,520 --> 00:34:35,239
Speaker 3: stone faced and heckled and waved their cane in it.

681
00:34:37,840 --> 00:34:39,680
Speaker 3: This year, before the State of the Union, I actually

682
00:34:39,719 --> 00:34:43,240
Speaker 3: went to several Democrats and asked them. I said, okay,

683
00:34:44,280 --> 00:34:48,359
Speaker 3: are you guys going to applaud for the US hockey team?

684
00:34:48,400 --> 00:34:49,000
Speaker 4: Like, come on?

685
00:34:49,400 --> 00:34:52,399
Speaker 3: And they all said yes. In fact, several of them

686
00:34:52,960 --> 00:34:56,960
Speaker 3: had an expletive. They said fyes. And I said, look,

687
00:34:57,600 --> 00:35:00,080
Speaker 3: to be clear, last year, you didn't applaud for a

688
00:35:00,200 --> 00:35:00,960
Speaker 3: kid with cancer?

689
00:35:01,239 --> 00:35:03,840
Speaker 1: Yeah, and that a crazy question.

690
00:35:04,239 --> 00:35:04,560
Speaker 4: Okay.

691
00:35:04,680 --> 00:35:07,080
Speaker 3: One of the Democrats who I actually like, he's I'm

692
00:35:07,120 --> 00:35:08,600
Speaker 3: not going to identify it, but he's got a good

693
00:35:08,640 --> 00:35:10,879
Speaker 3: sense of humor. I said that to him and he said, yeah,

694
00:35:10,920 --> 00:35:14,359
Speaker 3: we hate kids with cancer, which was like, all right,

695
00:35:14,520 --> 00:35:16,239
Speaker 3: Like don't argue, you just kind of vote it and

696
00:35:16,280 --> 00:35:18,239
Speaker 3: be I'm like, all right, well, well played.

697
00:35:18,840 --> 00:35:21,000
Speaker 4: Like they did it again. This year. By the way,

698
00:35:21,080 --> 00:35:23,279
Speaker 4: there was a little girl who couldn't walk who now

699
00:35:24,080 --> 00:35:26,680
Speaker 4: and it was the same thing. A good chunk of

700
00:35:26,719 --> 00:35:29,279
Speaker 4: Democrats would I guess they were trying to play the

701
00:35:29,320 --> 00:35:32,799
Speaker 4: stoic card. It did not read at least from my vantage.

702
00:35:32,920 --> 00:35:35,560
Speaker 4: I thought it looked really callous because there was no

703
00:35:35,760 --> 00:35:38,280
Speaker 4: unity within the party, so there was no clear messaging.

704
00:35:38,840 --> 00:35:41,920
Speaker 4: You know, look that it all seemed pretty disastrous. The

705
00:35:42,000 --> 00:35:45,359
Speaker 4: question that I have as a as a proper conservative

706
00:35:45,480 --> 00:35:48,120
Speaker 4: who is always looking for the downside of things just

707
00:35:48,160 --> 00:35:53,319
Speaker 4: to temper my you know, jubilation. Do you think I

708
00:35:53,360 --> 00:35:57,200
Speaker 4: think universally the speech was viewed as quite good, quite effective.

709
00:35:57,760 --> 00:36:00,799
Speaker 4: Does it make a meaningful difference in the midterms?

710
00:36:00,880 --> 00:36:02,160
Speaker 1: Look, I think it does.

711
00:36:03,760 --> 00:36:04,799
Speaker 3: Do you all right, lay out why.

712
00:36:05,080 --> 00:36:05,800
Speaker 1: I'll tell you why.

713
00:36:06,280 --> 00:36:16,200
Speaker 2: This speech was the things that irritate Republican slash moderate

714
00:36:16,320 --> 00:36:19,719
Speaker 2: voters about Trump, that it's all about him and he

715
00:36:19,760 --> 00:36:22,200
Speaker 2: doesn't know when to you know, the mean tweets and

716
00:36:22,239 --> 00:36:25,320
Speaker 2: the when to shut up, and the things that irritate

717
00:36:25,440 --> 00:36:29,839
Speaker 2: those that can stay home watching his demeanor tonight. He

718
00:36:29,920 --> 00:36:33,880
Speaker 2: came across in such a way of like, these guys

719
00:36:33,960 --> 00:36:36,839
Speaker 2: don't want this, These guys don't put you first, these

720
00:36:36,880 --> 00:36:40,520
Speaker 2: guys don't do this. He also was giving incredible accolades

721
00:36:40,640 --> 00:36:44,160
Speaker 2: and awards and the US hockey team. There was momentum there.

722
00:36:44,520 --> 00:36:47,000
Speaker 2: It was one after another. It was one hundred year

723
00:36:47,040 --> 00:36:49,160
Speaker 2: old man, a veteran, It was the guy who was

724
00:36:49,200 --> 00:36:52,239
Speaker 2: flying the helicopter, the Chinook and telling a story. He

725
00:36:52,440 --> 00:36:56,279
Speaker 2: was praising what makes America great and the people that

726
00:36:56,320 --> 00:36:59,960
Speaker 2: make America great. I actually think that if you are

727
00:37:00,120 --> 00:37:04,000
Speaker 2: a moderate voter, someone maybe a Republican that traditionally stays

728
00:37:04,000 --> 00:37:07,560
Speaker 2: home during the mid terms, I actually think that this

729
00:37:07,719 --> 00:37:10,480
Speaker 2: speech landed with you more than any other speech of

730
00:37:10,520 --> 00:37:13,319
Speaker 2: Trump the way it played on TV. I think it

731
00:37:13,400 --> 00:37:17,080
Speaker 2: also is going to land on the economic issues of

732
00:37:17,160 --> 00:37:19,920
Speaker 2: him reminding the no tax on tips, the no tax

733
00:37:19,960 --> 00:37:23,200
Speaker 2: on overtime, I'm trying to make life more affordable, the

734
00:37:23,360 --> 00:37:26,720
Speaker 2: gas prices. Those are things that I actually think, Well,

735
00:37:26,840 --> 00:37:29,200
Speaker 2: you know, they've been hammering him on all the approval

736
00:37:29,280 --> 00:37:31,560
Speaker 2: rings at forty this or thirty nine or thirty depending

737
00:37:31,520 --> 00:37:33,560
Speaker 2: on what poll. I think he gets a bump that

738
00:37:33,640 --> 00:37:38,160
Speaker 2: actually stays because he landed it so well in the audience,

739
00:37:38,200 --> 00:37:41,600
Speaker 2: and he looked really calm, He looked really just like

740
00:37:41,800 --> 00:37:43,840
Speaker 2: I'm doing this because I want to fix the country,

741
00:37:44,120 --> 00:37:47,080
Speaker 2: and other speeches haven't come across that way always.

742
00:37:47,520 --> 00:37:50,280
Speaker 3: Yeah, let me agree with you in that. I think

743
00:37:50,600 --> 00:37:55,879
Speaker 3: the message tonight was the record of the last year. Yeah,

744
00:37:55,920 --> 00:37:59,400
Speaker 3: the record of the last year, I believe is objectively phenomenal.

745
00:38:00,080 --> 00:38:02,680
Speaker 3: And I've been in the Senate now fourteen years. We've

746
00:38:02,800 --> 00:38:06,240
Speaker 3: never had a year where we've accomplished even a fraction

747
00:38:07,160 --> 00:38:09,279
Speaker 3: of what we have been accomplished in the last year.

748
00:38:09,600 --> 00:38:11,600
Speaker 3: I mean, it is staggering. And he did a good job.

749
00:38:12,239 --> 00:38:15,160
Speaker 3: You know, we talked about on the last pod how

750
00:38:15,440 --> 00:38:18,120
Speaker 3: how I spent thirty forty minutes on the phone with

751
00:38:18,440 --> 00:38:21,120
Speaker 3: Trump last week, and one of the things we talked

752
00:38:21,160 --> 00:38:24,720
Speaker 3: about was messaging for the midterms, and I said, listen,

753
00:38:25,280 --> 00:38:28,200
Speaker 3: we need to focus on results, on the very real

754
00:38:28,280 --> 00:38:35,600
Speaker 3: results securing the border, ninety nine percent drop in elou crossings.

755
00:38:36,200 --> 00:38:40,200
Speaker 3: And then I encouraged him a message that's not getting

756
00:38:40,239 --> 00:38:44,160
Speaker 3: the attention it should is the impact on crime. Yes,

757
00:38:44,320 --> 00:38:49,160
Speaker 3: the murder rates have dropped twenty percent, drug overdose deaths

758
00:38:49,200 --> 00:38:53,239
Speaker 3: have dropped twenty percent. They're literally thousands of Americans who

759
00:38:53,280 --> 00:38:56,520
Speaker 3: were alive today because Trump was elected and Republicans won Congress.

760
00:38:56,560 --> 00:38:57,920
Speaker 4: It's a great message.

761
00:38:57,840 --> 00:39:02,239
Speaker 3: And that's been lost. And I was really happy, like

762
00:39:02,480 --> 00:39:06,359
Speaker 3: the first twenty minutes of the speech were laying out

763
00:39:06,400 --> 00:39:10,040
Speaker 3: that message and going through murder rates and crime rates

764
00:39:10,080 --> 00:39:13,759
Speaker 3: and d C rates and like how unhappy the Democrats

765
00:39:13,800 --> 00:39:17,880
Speaker 3: were that crime rates had plummeted in d C. And

766
00:39:17,920 --> 00:39:19,520
Speaker 3: New Orleans and your hometown.

767
00:39:19,200 --> 00:39:20,080
Speaker 4: Of Memphis, Memphis.

768
00:39:20,160 --> 00:39:23,960
Speaker 3: Yeah, the Democrats were furious that fewer people are being murdered.

769
00:39:23,960 --> 00:39:27,400
Speaker 4: They wouldn't stand up on mass for murder declining. You

770
00:39:27,400 --> 00:39:29,680
Speaker 4: know this. I was looking at the polls and agriate

771
00:39:29,719 --> 00:39:33,000
Speaker 4: of the polls from just January and February leading into.

772
00:39:32,840 --> 00:39:34,960
Speaker 3: This, and to be fair, the pro murder community in

773
00:39:35,000 --> 00:39:35,959
Speaker 3: America is pretty small.

774
00:39:36,600 --> 00:39:39,600
Speaker 4: It is. Look, it's a constituency, but it's not the

775
00:39:39,600 --> 00:39:41,960
Speaker 4: one you want. And so I was looking at as

776
00:39:41,960 --> 00:39:47,799
Speaker 4: agriate of polls, Marist, PBS, a handful of others. And

777
00:39:48,080 --> 00:39:50,320
Speaker 4: the hard fact I spoke to some members of Congress

778
00:39:50,320 --> 00:39:54,040
Speaker 4: about this today. The hard fact is Republicans are underwater

779
00:39:54,400 --> 00:39:57,560
Speaker 4: on the economy, on economic perception. I think you could

780
00:39:57,600 --> 00:39:59,759
Speaker 4: could turn it around, but right now we're little b

781
00:39:59,800 --> 00:40:03,120
Speaker 4: under water. On healthcare. Democrats always went on healthcare and

782
00:40:03,320 --> 00:40:07,920
Speaker 4: on a defensive democracy or it's kind of a contrived category,

783
00:40:08,000 --> 00:40:10,759
Speaker 4: but anyway, they went on that. So the ones that

784
00:40:10,800 --> 00:40:15,359
Speaker 4: we're winning on right now quite decisively are immigration and

785
00:40:15,640 --> 00:40:19,440
Speaker 4: border enforcement, even more so now the border is shut down,

786
00:40:19,560 --> 00:40:22,880
Speaker 4: and especially on crime. So the key it seems to me,

787
00:40:23,000 --> 00:40:25,840
Speaker 4: is one that tells you people are concerned about safety.

788
00:40:26,400 --> 00:40:29,320
Speaker 4: And two, if you can tie all of that together,

789
00:40:30,440 --> 00:40:33,799
Speaker 4: the crime relates obviously to illegal immigration, that's why it's

790
00:40:33,800 --> 00:40:37,640
Speaker 4: called illegal and the housing prices even all the way

791
00:40:37,680 --> 00:40:39,120
Speaker 4: to the you know, the fact that you have six

792
00:40:39,160 --> 00:40:43,680
Speaker 4: months consecutive decline on housing prices coinciding with Mastery petition.

793
00:40:43,440 --> 00:40:45,800
Speaker 3: Too, million people being deported, and that's just less demand,

794
00:40:46,280 --> 00:40:48,080
Speaker 3: right you know. By the way, like a couple of

795
00:40:48,080 --> 00:40:51,200
Speaker 3: weeks ago, the Houston Chronicle had a front page story

796
00:40:52,360 --> 00:40:56,920
Speaker 3: that said murder rates in Houston have declined eighteen percent. Yep,

797
00:40:57,400 --> 00:40:59,960
Speaker 3: And Heidi showed me the article because she knew it

798
00:41:00,239 --> 00:41:05,400
Speaker 3: me off because the article, Yes, the article the Chronicle says,

799
00:41:06,440 --> 00:41:10,200
Speaker 3: nobody can figure out why. It's completely inexplicable. The experts

800
00:41:10,239 --> 00:41:12,680
Speaker 3: we talk about have no idea why the murder rate

801
00:41:12,719 --> 00:41:16,080
Speaker 3: is dropping, and it doesn't occur to them that arresting

802
00:41:16,080 --> 00:41:20,680
Speaker 3: and deporting murderers and gang bangers will reduce the murder rate.

803
00:41:21,000 --> 00:41:25,840
Speaker 3: Like it's not. This is not rocket science. Fewer murderers

804
00:41:26,280 --> 00:41:31,440
Speaker 3: means fewer murders. But yet to Democrats that makes no

805
00:41:31,520 --> 00:41:35,000
Speaker 3: sense to them. And so that message was good. I

806
00:41:35,040 --> 00:41:38,200
Speaker 3: also liked on no tax on tips that he had

807
00:41:38,360 --> 00:41:42,640
Speaker 3: the mom who is the waitress stand up and he said,

808
00:41:42,640 --> 00:41:45,080
Speaker 3: between no tax on tips and no tax on overtime,

809
00:41:45,800 --> 00:41:49,400
Speaker 3: she's going to take home five thousand more dollars this

810
00:41:49,520 --> 00:41:53,080
Speaker 3: year than last year. That was real and it's not abstract.

811
00:41:53,280 --> 00:41:55,440
Speaker 3: And by the way, the Democrats wouldn't applaud for like

812
00:41:55,600 --> 00:41:58,600
Speaker 3: like the mom waiting tables. They're not rooting for her,

813
00:41:59,239 --> 00:42:01,160
Speaker 3: and they want to take that five thousand dollars and

814
00:42:01,160 --> 00:42:01,799
Speaker 3: that's real money.

815
00:42:01,880 --> 00:42:04,319
Speaker 4: You know, five thousand dollars is real money. It's not

816
00:42:04,400 --> 00:42:05,120
Speaker 4: some abstraction.

817
00:42:05,880 --> 00:42:08,799
Speaker 2: Israel is a very hot topic right now, and with

818
00:42:08,880 --> 00:42:12,080
Speaker 2: so many opinions and emotions surrounding it, it can feel

819
00:42:12,080 --> 00:42:14,880
Speaker 2: hard to know where to start. The Bible tells us

820
00:42:15,080 --> 00:42:18,480
Speaker 2: I will bless those who bless you. That isn't just

821
00:42:18,600 --> 00:42:22,400
Speaker 2: a comforting promise. It's a clear calling from God, and today,

822
00:42:22,440 --> 00:42:26,120
Speaker 2: with anti Semitism rising around the world, that calling is

823
00:42:26,160 --> 00:42:29,120
Speaker 2: more urgent than ever. At a time when Jewish communities

824
00:42:29,160 --> 00:42:33,520
Speaker 2: are experiencing more hostility, more threats, and more violence than ever,

825
00:42:33,800 --> 00:42:37,200
Speaker 2: Christians have a powerful opportunity to respond with God's love,

826
00:42:37,280 --> 00:42:41,360
Speaker 2: to say you are not alone. When Christians choose to

827
00:42:41,400 --> 00:42:45,160
Speaker 2: bless Israel, we're not entering a political issue. We're honoring

828
00:42:45,320 --> 00:42:49,000
Speaker 2: the root of our faith and standing against hatred. Supporting

829
00:42:49,080 --> 00:42:52,280
Speaker 2: Israel is more than a belief, it's a biblical mandate.

830
00:42:52,400 --> 00:42:56,320
Speaker 2: And by partnering with the International Fellowship of Christians and Jews,

831
00:42:56,600 --> 00:42:59,759
Speaker 2: you can push back against darkness and be a light

832
00:43:00,080 --> 00:43:03,200
Speaker 2: to God's people. Learn how you can bless Israel and

833
00:43:03,239 --> 00:43:07,919
Speaker 2: be blessed in return. Visit IFCJ dot org today, that's

834
00:43:08,040 --> 00:43:11,800
Speaker 2: IFCJ dot org today, be a blessing live in the world.

835
00:43:12,000 --> 00:43:12,759
Speaker 1: Answer the call.

836
00:43:13,280 --> 00:43:15,960
Speaker 4: So nuts and bolts. You know, if this was a

837
00:43:16,000 --> 00:43:20,000
Speaker 4: speech obviously you'ed at the midterms. Do you think it

838
00:43:20,040 --> 00:43:20,720
Speaker 4: moves the needle?

839
00:43:22,040 --> 00:43:24,480
Speaker 3: I did keep message discipline of focusing on it.

840
00:43:24,600 --> 00:43:24,799
Speaker 4: Yes.

841
00:43:25,600 --> 00:43:28,759
Speaker 2: By the way, yes, yesterday morning you and I am

842
00:43:28,760 --> 00:43:31,440
Speaker 2: talking about this. I had breakfast a Speaker Johnson and

843
00:43:32,680 --> 00:43:34,720
Speaker 2: you talk about the reason why I think this one sticks.

844
00:43:35,480 --> 00:43:39,799
Speaker 2: There is a very real sense that Republican leadership have

845
00:43:39,960 --> 00:43:42,440
Speaker 2: our act together for once that we haven't had in

846
00:43:42,520 --> 00:43:46,640
Speaker 2: a long time. I also think that matters. Speaker Johnson

847
00:43:46,719 --> 00:43:51,439
Speaker 2: understands he basically has a one person majority. He does

848
00:43:51,480 --> 00:43:54,360
Speaker 2: not want to have and President Trump doesn't want to

849
00:43:54,400 --> 00:43:56,600
Speaker 2: have the Democrats take over the House.

850
00:43:57,000 --> 00:44:00,719
Speaker 1: It is insanely slim. And I think there working.

851
00:44:00,480 --> 00:44:02,719
Speaker 2: So well together the same way Center that you work

852
00:44:02,800 --> 00:44:05,160
Speaker 2: so well with the president. There does seem to be

853
00:44:05,320 --> 00:44:07,919
Speaker 2: that we're actually on the same team for once. I've

854
00:44:07,960 --> 00:44:10,160
Speaker 2: not experienced that many times in my life in the

855
00:44:10,200 --> 00:44:13,239
Speaker 2: Republican Party. Like there's always the infighting. We always not

856
00:44:13,360 --> 00:44:16,000
Speaker 2: to screwed up when we get power. There's different people

857
00:44:16,120 --> 00:44:19,200
Speaker 2: jocking for positions. There does seem to be a little

858
00:44:19,200 --> 00:44:20,839
Speaker 2: bit of momentum now that we're on the same team

859
00:44:20,840 --> 00:44:22,680
Speaker 2: going the midterms. That's the other reason I think this

860
00:44:22,760 --> 00:44:25,280
Speaker 2: speech will continue in the momentum because you have Johnson

861
00:44:25,360 --> 00:44:26,239
Speaker 2: others advocating.

862
00:44:27,280 --> 00:44:31,799
Speaker 3: Look, I hope so to play Devil's advocates. We're a

863
00:44:32,160 --> 00:44:35,520
Speaker 3: very divided country and so the people who hate Trump

864
00:44:36,120 --> 00:44:38,520
Speaker 3: still hate them after the speech, for sure, if they're

865
00:44:38,560 --> 00:44:39,520
Speaker 3: not actually listening.

866
00:44:41,880 --> 00:44:42,359
Speaker 4: And so.

867
00:44:43,800 --> 00:44:46,200
Speaker 3: I do think Ben, you focused on the right area,

868
00:44:46,360 --> 00:44:48,920
Speaker 3: which is the people who voted for him in twenty

869
00:44:48,960 --> 00:44:53,200
Speaker 3: four but may be demoralized by the press narrative that

870
00:44:53,280 --> 00:44:56,960
Speaker 3: has been driven and to the extent this focuses them

871
00:44:57,000 --> 00:45:00,880
Speaker 3: on Wow, we're winning some big big victories. I also

872
00:45:01,000 --> 00:45:03,759
Speaker 3: really liked Look, the no tax on tips emphasis. I

873
00:45:03,880 --> 00:45:07,640
Speaker 3: liked because I wrote that bill. And I really liked

874
00:45:07,640 --> 00:45:10,880
Speaker 3: his emphasis on the Trump accounts because, as you guys know,

875
00:45:10,960 --> 00:45:14,640
Speaker 3: I wrote that too, and the Democrats wouldn't applaud for that.

876
00:45:14,680 --> 00:45:17,239
Speaker 4: I'm sorry, I actually have to pause here because I'm

877
00:45:17,239 --> 00:45:20,439
Speaker 4: sitting in the upper part of the gallery to the right.

878
00:45:20,640 --> 00:45:24,800
Speaker 4: If you're the president pointing and you didn't get everyone

879
00:45:24,880 --> 00:45:27,160
Speaker 4: was standing up at certain moments. That was one where

880
00:45:27,200 --> 00:45:29,800
Speaker 4: I bolted up, and other people were kind of slower.

881
00:45:29,800 --> 00:45:32,160
Speaker 4: I think they didn't quite process what the Trump accounts meant.

882
00:45:32,520 --> 00:45:35,800
Speaker 4: I'm really into the Trump accounts. Like the Trump accounts

883
00:45:35,840 --> 00:45:40,360
Speaker 4: I think are such a white pill, you know, focusing

884
00:45:40,360 --> 00:45:43,760
Speaker 4: on changes, which is an existential issue. It's so practical,

885
00:45:44,080 --> 00:45:46,160
Speaker 4: and I'm going to confess something. I should follow this,

886
00:45:46,360 --> 00:45:49,200
Speaker 4: I'm like, professionally, I'm supposed to follow this closely. I

887
00:45:49,280 --> 00:45:52,680
Speaker 4: did not know that you were pushing the Trump accounts.

888
00:45:53,280 --> 00:45:56,319
Speaker 4: I wrote it unbelievable. Should have known, but I didn't know.

889
00:45:56,480 --> 00:45:58,279
Speaker 3: In fact, do you want to hear the story of

890
00:45:58,280 --> 00:46:00,640
Speaker 3: the origin of the Trump accounts. It's a cool story

891
00:46:00,680 --> 00:46:02,360
Speaker 3: I've told on the pod, but not in a while.

892
00:46:03,600 --> 00:46:08,279
Speaker 3: So they originated from a poker game in Vegas. So,

893
00:46:08,520 --> 00:46:10,200
Speaker 3: as you guys know, I like poker.

894
00:46:11,120 --> 00:46:13,319
Speaker 1: By the way, Michael, were you invited to this poker night?

895
00:46:13,360 --> 00:46:14,360
Speaker 1: I just want to be clear about it.

896
00:46:14,440 --> 00:46:19,120
Speaker 4: I'm very offended, but I wasn't. I was not invited

897
00:46:19,160 --> 00:46:22,400
Speaker 4: to the Okay, we're on the same team again. It

898
00:46:22,440 --> 00:46:25,399
Speaker 4: was a poker game for political donors. If you guys

899
00:46:25,400 --> 00:46:26,640
Speaker 4: will write me a check.

900
00:46:27,280 --> 00:46:29,720
Speaker 1: The okay. So now saying.

901
00:46:33,520 --> 00:46:36,960
Speaker 3: Podcasters, so you know you ought to.

902
00:46:37,000 --> 00:46:39,160
Speaker 2: Michael, if you and I ever have a poker game,

903
00:46:39,280 --> 00:46:41,640
Speaker 2: I think we will will organize it next time. We'll

904
00:46:41,680 --> 00:46:43,960
Speaker 2: invite the Center in advance. You agree with that. We're

905
00:46:44,040 --> 00:46:47,200
Speaker 2: very generous people, Yes, are We're very kind podcasters.

906
00:46:47,280 --> 00:46:48,640
Speaker 1: Keep going with your stories, all right.

907
00:46:48,680 --> 00:46:52,000
Speaker 3: So I do a poker fundraiser typically in April in Vegas,

908
00:46:52,440 --> 00:46:54,920
Speaker 3: and so not last April, but two aprils ago. I

909
00:46:55,000 --> 00:46:59,600
Speaker 3: was there and and typically several poker pros will come.

910
00:46:59,600 --> 00:47:02,000
Speaker 3: I'm but with a number of the poker pros. And

911
00:47:02,080 --> 00:47:04,600
Speaker 3: so we're sitting at the Bellagio three in the morning

912
00:47:04,760 --> 00:47:08,840
Speaker 3: and Phil Hellmuth, who's one of the greatest poker players

913
00:47:08,840 --> 00:47:10,680
Speaker 3: to have ever lived. Phil would tell you he is

914
00:47:10,760 --> 00:47:13,480
Speaker 3: the greatest poker player to ever live, and he's got

915
00:47:13,480 --> 00:47:17,719
Speaker 3: a real argument to it. He's got I think fifteen bracelets,

916
00:47:17,280 --> 00:47:18,920
Speaker 3: so's it's crazy.

917
00:47:19,400 --> 00:47:20,600
Speaker 1: That's a lot.

918
00:47:20,880 --> 00:47:23,239
Speaker 3: So we're sitting there playing poker and he asked me.

919
00:47:23,280 --> 00:47:27,480
Speaker 3: He says, hey, do you know Brad Gerster And at

920
00:47:27,520 --> 00:47:30,080
Speaker 3: the time I didn't. I'm like, yeah, who's he? And

921
00:47:30,160 --> 00:47:35,279
Speaker 3: he's a very successful venture capitalist in Silicon Valley and

922
00:47:35,320 --> 00:47:37,760
Speaker 3: he has this idea that was called in West America.

923
00:47:38,600 --> 00:47:40,680
Speaker 3: And I'm like, what's that? And Phil describes it for

924
00:47:40,719 --> 00:47:44,120
Speaker 3: a minute, and I said, Hey, that sounds like something

925
00:47:44,120 --> 00:47:47,919
Speaker 3: I'd be really interested in. And so Phil pulls out

926
00:47:47,920 --> 00:47:50,960
Speaker 3: his phone and he puts together a text thread and

927
00:47:51,040 --> 00:47:54,439
Speaker 3: connects me and Brad and says, you two should should talk.

928
00:47:54,480 --> 00:47:58,560
Speaker 3: You would really like each other. The next week, Brad

929
00:47:58,600 --> 00:48:02,600
Speaker 3: gets on a plane, lies to DC, comes to my

930
00:48:02,680 --> 00:48:07,600
Speaker 3: office and pitches the Invested America accounts. I immediately called

931
00:48:07,600 --> 00:48:10,600
Speaker 3: my policy team in and said, let's start drafting this.

932
00:48:11,360 --> 00:48:14,719
Speaker 3: So we drafted the legislation. Now, Brad has said for

933
00:48:14,920 --> 00:48:17,120
Speaker 3: months he had talked to a bunch of other senators

934
00:48:18,040 --> 00:48:19,279
Speaker 3: and none of them did a damn thing.

935
00:48:19,480 --> 00:48:20,040
Speaker 4: Huh.

936
00:48:20,120 --> 00:48:22,080
Speaker 3: He talked to them, and they'd all kind of nod

937
00:48:22,160 --> 00:48:23,800
Speaker 3: and be like, yeah, yeah, that's a great idea, and

938
00:48:23,800 --> 00:48:25,759
Speaker 3: then no one would do anything. We sat down and

939
00:48:25,760 --> 00:48:30,880
Speaker 3: wrote the bill that is the bill that is Trump Accounts.

940
00:48:31,080 --> 00:48:35,640
Speaker 3: It was my bills great that we wrote. And it

941
00:48:35,800 --> 00:48:40,440
Speaker 3: is literally the case that if Phil Hellmuth does not

942
00:48:40,440 --> 00:48:43,960
Speaker 3: connect me with Brad Gersner April a year ago, there

943
00:48:44,000 --> 00:48:47,040
Speaker 3: are no Trump accounts and the American the kids of

944
00:48:47,080 --> 00:48:50,520
Speaker 3: America do not have trillions and investments, which is what

945
00:48:50,560 --> 00:48:52,440
Speaker 3: they're going to have through Trump account You know, this is.

946
00:48:53,320 --> 00:48:55,000
Speaker 1: You know what I heard there by the way I

947
00:48:55,080 --> 00:48:55,440
Speaker 1: heard that.

948
00:48:55,560 --> 00:48:58,240
Speaker 2: Could you imagine the bills that could have been written

949
00:48:58,600 --> 00:49:01,720
Speaker 2: if you, Michael and I were there at that table.

950
00:49:02,040 --> 00:49:04,560
Speaker 4: I know, I mean the good we.

951
00:49:04,520 --> 00:49:06,960
Speaker 1: Could have come up with. We could have cured cancer.

952
00:49:07,000 --> 00:49:07,640
Speaker 1: Maybe at this.

953
00:49:07,760 --> 00:49:09,719
Speaker 4: We could have ended the ninth and tenth wars. That

954
00:49:09,800 --> 00:49:11,120
Speaker 4: could have added to the record.

955
00:49:11,360 --> 00:49:13,520
Speaker 1: We could state department, the ending of the Michael and

956
00:49:13,600 --> 00:49:14,520
Speaker 1: Ben Warres. I like this.

957
00:49:14,680 --> 00:49:17,720
Speaker 4: You know. The thing that I love about the Trump Accounts,

958
00:49:17,719 --> 00:49:22,319
Speaker 4: in particular from the Republican coalitional standpoint is, you know,

959
00:49:22,560 --> 00:49:26,160
Speaker 4: the right always has all these different ideological factions because

960
00:49:26,200 --> 00:49:29,080
Speaker 4: we're more independent thinkers and the left has progressives and

961
00:49:29,200 --> 00:49:32,000
Speaker 4: very progressives and John Fetterman, I guess, and we you know,

962
00:49:32,040 --> 00:49:34,040
Speaker 4: we kind of have all these divisions. And so one

963
00:49:34,040 --> 00:49:36,399
Speaker 4: of the divisions that's come about in recent years, last

964
00:49:36,400 --> 00:49:38,960
Speaker 4: five or ten years, is people who are focused on

965
00:49:39,719 --> 00:49:42,200
Speaker 4: more the common good, you know, kind of an Aristotelian

966
00:49:42,280 --> 00:49:44,680
Speaker 4: view of politics, and people are more focused on the

967
00:49:44,719 --> 00:49:48,320
Speaker 4: libertarian view that comes from classical liberalism up through Sayhayek.

968
00:49:48,760 --> 00:49:51,080
Speaker 4: And what I love about the Trump accounts is it

969
00:49:51,120 --> 00:49:54,719
Speaker 4: actually marries the two. It's this beautiful. It just hits

970
00:49:54,760 --> 00:49:58,640
Speaker 4: this sweet spot. It's good that no flattery because I

971
00:49:58,680 --> 00:50:01,919
Speaker 4: actually didn't even know you were behind. That is really good.

972
00:50:01,960 --> 00:50:05,400
Speaker 3: By the way, we had Brad on Verdict. You know,

973
00:50:05,480 --> 00:50:07,920
Speaker 3: he's come on Verdict and talked about the whole idea.

974
00:50:08,440 --> 00:50:11,120
Speaker 3: And Brad came up with the idea with his two

975
00:50:11,160 --> 00:50:17,480
Speaker 3: teenage sons and they spent years pushing it. And Brad

976
00:50:17,520 --> 00:50:19,319
Speaker 3: was there and recognized by the President of the State

977
00:50:19,320 --> 00:50:23,160
Speaker 3: of the Union. So Brad had put together a CEO's

978
00:50:23,239 --> 00:50:26,520
Speaker 3: council behind the invest America accounts, and the chairman of

979
00:50:26,560 --> 00:50:29,000
Speaker 3: it was Michael Dell. And Michael's a good friend of mine.

980
00:50:29,000 --> 00:50:30,680
Speaker 3: He's a Texan and we spent a lot of time together,

981
00:50:31,600 --> 00:50:37,120
Speaker 3: and the CEOs had all committed that they would contributor

982
00:50:37,200 --> 00:50:39,719
Speaker 3: match to Trump accounts. So they're two accelerators that are

983
00:50:39,760 --> 00:50:42,560
Speaker 3: written into these Trump accounts that make them even more potent.

984
00:50:43,360 --> 00:50:47,480
Speaker 3: Number one is that employers can contributor match. And listen,

985
00:50:49,000 --> 00:50:51,960
Speaker 3: when Congress passed Section four oh one K of ARISA,

986
00:50:53,960 --> 00:50:57,279
Speaker 3: nobody knew how fundamentally they were changing how Americans saved

987
00:50:57,280 --> 00:51:01,120
Speaker 3: for retirement. Today, there's more than twelve trillion dollars in

988
00:51:01,120 --> 00:51:04,440
Speaker 3: four to one K accounts. Trump accounts are for to

989
00:51:04,480 --> 00:51:07,359
Speaker 3: one case for kids. Yeah, so in very short order,

990
00:51:07,360 --> 00:51:13,040
Speaker 3: you're gonna see trillions of dollars in there. The two

991
00:51:13,080 --> 00:51:16,799
Speaker 3: accelerators one is that employers can contributor match, and so

992
00:51:16,920 --> 00:51:20,560
Speaker 3: all the employers on the CEO Council had already committed

993
00:51:20,600 --> 00:51:23,320
Speaker 3: we're going to contributor match. This is going to become

994
00:51:23,360 --> 00:51:27,600
Speaker 3: a ubiquitous as standard employee benefit, just like a four

995
00:51:27,640 --> 00:51:30,760
Speaker 3: to one K contribution is a pretty standard employee benefit.

996
00:51:31,719 --> 00:51:34,800
Speaker 3: You're gonna see employers, We're already seeing a bunch who

997
00:51:35,080 --> 00:51:38,120
Speaker 3: will match or contribute to the Trump accounts of the

998
00:51:38,160 --> 00:51:42,120
Speaker 3: kids of their employees. So that accelerates massively. The second thing,

999
00:51:42,120 --> 00:51:45,760
Speaker 3: and we deliberately wrote this so that it can accept

1000
00:51:45,760 --> 00:51:49,680
Speaker 3: philanthropy and it can accept charitable gifts. And as you know,

1001
00:51:51,200 --> 00:51:54,840
Speaker 3: Michael and Susan Dell have given six and a quarter

1002
00:51:55,000 --> 00:51:58,360
Speaker 3: billion dollars, and what they've given is two hundred and

1003
00:51:58,400 --> 00:52:03,400
Speaker 3: fifty dollars for America's two hundred and fiftyth birthday to

1004
00:52:03,960 --> 00:52:08,960
Speaker 3: every child in America under age ten who lives in

1005
00:52:09,000 --> 00:52:12,000
Speaker 3: a zip code where the median income is one hundred

1006
00:52:12,000 --> 00:52:14,719
Speaker 3: and fifty thousand or less. And so we wrote it

1007
00:52:14,760 --> 00:52:17,160
Speaker 3: so you can turn the dials. You can turn the

1008
00:52:17,160 --> 00:52:20,520
Speaker 3: dials geographically, you can turn the dials age wise, you

1009
00:52:20,560 --> 00:52:23,799
Speaker 3: can turn the dials income wise. So Michael's done that.

1010
00:52:25,200 --> 00:52:30,880
Speaker 3: Brad Gerstner has given two hundred and fifty dollars to

1011
00:52:31,000 --> 00:52:35,640
Speaker 3: every kid in Indiana under age five in zip codes

1012
00:52:36,280 --> 00:52:38,520
Speaker 3: with median income of one hundred and fifty thousand or less.

1013
00:52:38,960 --> 00:52:42,440
Speaker 3: And Ray Dalio, the hedge fund billionaire, has sponsored the

1014
00:52:42,520 --> 00:52:46,520
Speaker 3: kids in Connecticut. And I actually have talked to a

1015
00:52:46,600 --> 00:52:52,719
Speaker 3: number of gazillionaires and Michael, Dell and Brad are getting

1016
00:52:52,760 --> 00:52:55,200
Speaker 3: on zooms and talking to people with great wealth.

1017
00:52:55,200 --> 00:52:55,840
Speaker 1: That's awesome.

1018
00:52:56,239 --> 00:53:00,239
Speaker 3: Encouraging them give your resources. And here my Michael and

1019
00:53:00,280 --> 00:53:01,759
Speaker 3: I have talked at length about that and one of

1020
00:53:01,800 --> 00:53:06,760
Speaker 3: the things that he got excited about. So, look, Michael

1021
00:53:06,760 --> 00:53:09,320
Speaker 3: and Susan have between a hundred billion and two hundred

1022
00:53:09,320 --> 00:53:12,920
Speaker 3: billion dollars, Like it's a massive amount of money, and

1023
00:53:12,920 --> 00:53:17,120
Speaker 3: they're smart and responsible, and so they've had serious conversations

1024
00:53:17,160 --> 00:53:22,799
Speaker 3: about how do you give away your fortune? And look,

1025
00:53:22,880 --> 00:53:25,279
Speaker 3: you look at people who have achieved great fortunes. They

1026
00:53:25,320 --> 00:53:28,719
Speaker 3: create a foundation. The foundation gets taken over by a

1027
00:53:28,719 --> 00:53:31,320
Speaker 3: bunch of Marxists who spend all their money undermining everything

1028
00:53:31,320 --> 00:53:34,759
Speaker 3: the founders believe. Every time Henry Ford is rolling over

1029
00:53:34,800 --> 00:53:39,720
Speaker 3: in his grave, John D. Rockefeller is spitting in his grave.

1030
00:53:41,600 --> 00:53:46,080
Speaker 3: And one of the problems with that much money is

1031
00:53:46,120 --> 00:53:48,440
Speaker 3: it's hard to give it away. Most charities can't take

1032
00:53:48,480 --> 00:53:50,680
Speaker 3: a billion dollars like it's too much money and it

1033
00:53:50,760 --> 00:53:54,719
Speaker 3: swamps them. So Michael and Susan have given six and

1034
00:53:54,719 --> 00:53:58,440
Speaker 3: a quarter billion dollars, but they've told me they are

1035
00:53:58,480 --> 00:54:02,160
Speaker 3: contemplating giving much much more than that.

1036
00:54:02,160 --> 00:54:02,840
Speaker 1: That's so cool.

1037
00:54:03,640 --> 00:54:05,879
Speaker 3: One of the things that's really powerful about these Trump

1038
00:54:05,880 --> 00:54:12,319
Speaker 3: accounts is they're infinitely scalable. They could literally absorb the

1039
00:54:12,560 --> 00:54:18,160
Speaker 3: entirety of Michael Dell's fortune and the fortune of every

1040
00:54:18,160 --> 00:54:23,520
Speaker 3: other gazillionaire. And what is really potent is the time

1041
00:54:23,640 --> 00:54:26,880
Speaker 3: value of investing. Look, if someone starts saving or investing

1042
00:54:26,880 --> 00:54:30,759
Speaker 3: when they're sixty, it's hard for it to grow and

1043
00:54:30,800 --> 00:54:35,880
Speaker 3: accumulate enough to be really significant by the time they

1044
00:54:35,880 --> 00:54:40,320
Speaker 3: were retiring. What makes the Trump accounts so incredibly potent

1045
00:54:41,360 --> 00:54:45,280
Speaker 3: is we're starting at age zero, We're starting at baby.

1046
00:54:45,400 --> 00:54:49,120
Speaker 3: So you've got a time horizon where the kids of

1047
00:54:49,160 --> 00:54:54,520
Speaker 3: a single mom waiting table can accumulate hundreds of thousands

1048
00:54:54,520 --> 00:54:58,920
Speaker 3: and even millions of dollars. And so for philanthropy, the

1049
00:54:58,960 --> 00:55:01,839
Speaker 3: math is powerful. If you put another thousand dollars in

1050
00:55:01,880 --> 00:55:06,160
Speaker 3: at the outset, it really really grows. And so that's

1051
00:55:06,200 --> 00:55:09,640
Speaker 3: something that is going to be really significant to speed

1052
00:55:09,640 --> 00:55:12,799
Speaker 3: these up. And and the point Michael you made, which

1053
00:55:12,840 --> 00:55:17,000
Speaker 3: which got me really excited, is we're creating a new

1054
00:55:17,040 --> 00:55:21,400
Speaker 3: generation of capitalists that every kid will have skin in

1055
00:55:21,440 --> 00:55:24,120
Speaker 3: the game and be an owner of the biggest employers

1056
00:55:24,120 --> 00:55:24,640
Speaker 3: in America.

1057
00:55:24,800 --> 00:55:27,000
Speaker 4: I thought this was a really important point. The President

1058
00:55:27,080 --> 00:55:30,399
Speaker 4: touched on well one that the Trump accounts just do that,

1059
00:55:31,239 --> 00:55:33,480
Speaker 4: so it gives people skin in the game, even when

1060
00:55:33,480 --> 00:55:35,840
Speaker 4: the President pointed out only half of Americans have access

1061
00:55:35,840 --> 00:55:37,840
Speaker 4: to for one case, Yeah, they said, we want to

1062
00:55:37,920 --> 00:55:39,600
Speaker 4: we want to bring that other half of them.

1063
00:55:39,680 --> 00:55:42,120
Speaker 3: Let them opt in to the Drift savings plan. That's

1064
00:55:42,120 --> 00:55:43,839
Speaker 3: an idea I've talked with the President in the White

1065
00:55:43,880 --> 00:55:46,680
Speaker 3: House about. I think it's a brilliant idea. I strongly

1066
00:55:46,719 --> 00:55:49,480
Speaker 3: support it. I'm working on legislation to do that as well,

1067
00:55:49,520 --> 00:55:53,359
Speaker 3: to codify that right because it's Look, the more you

1068
00:55:53,400 --> 00:55:58,680
Speaker 3: can create investors, get people with equity. And one of

1069
00:55:58,719 --> 00:56:02,560
Speaker 3: the important things about how how the administration is designing

1070
00:56:02,600 --> 00:56:06,640
Speaker 3: the Trump Accounts app is that it is not gonna

1071
00:56:06,640 --> 00:56:10,000
Speaker 3: simply say you've got X dollars in the S and P.

1072
00:56:10,120 --> 00:56:10,680
Speaker 4: Five hundred.

1073
00:56:11,680 --> 00:56:16,000
Speaker 3: It's gonna break down every constituent stock they own within it.

1074
00:56:16,080 --> 00:56:16,680
Speaker 1: That's awesome.

1075
00:56:16,719 --> 00:56:18,640
Speaker 3: So a ten year old will be able to see

1076
00:56:19,360 --> 00:56:22,280
Speaker 3: I own one hundred bucks of Apple, Yea or Tesla

1077
00:56:22,480 --> 00:56:27,680
Speaker 3: or Ford or McDonald's, and they'll see so a kid

1078
00:56:27,719 --> 00:56:30,400
Speaker 3: won't be rooting. I hate evil corporations. I want them

1079
00:56:30,440 --> 00:56:32,640
Speaker 3: to fail. They're gonna be like, wait, I own that corporation.

1080
00:56:32,840 --> 00:56:36,279
Speaker 3: I want them to do better. That changes their whole worldview.

1081
00:56:36,480 --> 00:56:37,759
Speaker 3: It makes them capitalists.

1082
00:56:37,800 --> 00:56:40,440
Speaker 4: You know it. Even during one of the big crises

1083
00:56:40,480 --> 00:56:44,000
Speaker 4: of capitalism in the early twentieth century, where you had

1084
00:56:44,280 --> 00:56:47,279
Speaker 4: real excesses of industrialization that created you know, like child

1085
00:56:47,320 --> 00:56:50,640
Speaker 4: labor and all this stuff, there was this movement among

1086
00:56:50,760 --> 00:56:55,080
Speaker 4: serious Christian thinkers to try to resolve these tensions between

1087
00:56:55,120 --> 00:56:58,040
Speaker 4: capitalism and the working poor. And there were all these

1088
00:56:58,320 --> 00:57:01,719
Speaker 4: chesters and had a version with Bell Law distributism. But

1089
00:57:01,760 --> 00:57:04,319
Speaker 4: the whole point, and there's didn't really work. But the

1090
00:57:04,360 --> 00:57:08,520
Speaker 4: whole point was you need people to really have a

1091
00:57:08,560 --> 00:57:13,239
Speaker 4: steak in the society in following subsidiarity, and you know,

1092
00:57:13,280 --> 00:57:15,360
Speaker 4: all these principles that are so enshrined in the American

1093
00:57:15,400 --> 00:57:19,400
Speaker 4: system too, and this really does that where you think, oh,

1094
00:57:19,440 --> 00:57:21,720
Speaker 4: I have a steak in the corporations, I have a steak.

1095
00:57:21,760 --> 00:57:25,720
Speaker 3: He either way, I miss geeky, cerebral academic stuff on

1096
00:57:25,760 --> 00:57:28,480
Speaker 3: the pod. I will say, the sort of tenor of

1097
00:57:28,600 --> 00:57:32,320
Speaker 3: verdict has shifted. I don't know why. I can't imagine

1098
00:57:32,320 --> 00:57:36,000
Speaker 3: the cause, but I'm just saying, you know, I'm having

1099
00:57:36,080 --> 00:57:37,400
Speaker 3: a loft of nostalgia.

1100
00:57:37,480 --> 00:57:39,440
Speaker 4: There's a little more chester Kien. It comes it.

1101
00:57:39,520 --> 00:57:42,840
Speaker 2: Yes, all the people that just wakes back up I

1102
00:57:42,880 --> 00:57:46,720
Speaker 2: got you back. Keep going wake up now. Our audience

1103
00:57:47,520 --> 00:57:49,600
Speaker 2: level just went like this, but we're back now they're

1104
00:57:49,600 --> 00:57:50,240
Speaker 2: all awake again.

1105
00:57:50,320 --> 00:57:51,200
Speaker 1: Make your final point.

1106
00:57:51,240 --> 00:57:56,640
Speaker 4: Go ahead, this this this key is really important because

1107
00:57:56,720 --> 00:57:59,760
Speaker 4: this is what really jazzed me about it. I don't

1108
00:57:59,880 --> 00:58:02,080
Speaker 4: like can win the right fractures into a million directions

1109
00:58:02,120 --> 00:58:05,800
Speaker 4: because you know, I feel for Speaker Johnson. He has

1110
00:58:05,840 --> 00:58:08,080
Speaker 4: the worst job in all of politics. Yes, he has

1111
00:58:08,120 --> 00:58:10,320
Speaker 4: to hurt a bunch of cats. They all have all

1112
00:58:10,360 --> 00:58:12,440
Speaker 4: sorts of views, they have all sorts of principles, some

1113
00:58:12,480 --> 00:58:14,480
Speaker 4: of which conflict with each other, and so it's hard

1114
00:58:14,520 --> 00:58:16,360
Speaker 4: to get the right to do anything together.

1115
00:58:16,760 --> 00:58:21,120
Speaker 3: And he is a good and decent Man's amazing.

1116
00:58:21,240 --> 00:58:24,320
Speaker 4: Yeah, he's a wonderful guy, and he's doing a great

1117
00:58:24,360 --> 00:58:26,360
Speaker 4: He happens to also be doing a great job. But

1118
00:58:26,400 --> 00:58:29,120
Speaker 4: I just think what the President was speaking on, especially

1119
00:58:29,160 --> 00:58:31,560
Speaker 4: these kinds of issues, these are the kind of things

1120
00:58:31,600 --> 00:58:35,920
Speaker 4: that can actually rally the way together with moderate voters,

1121
00:58:36,000 --> 00:58:38,920
Speaker 4: frankly even central right. So who don't want the crazy.

1122
00:58:38,640 --> 00:58:40,040
Speaker 1: Final question for each of you?

1123
00:58:40,160 --> 00:58:43,400
Speaker 2: Quickly, as we are hitting about an hour here in

1124
00:58:43,440 --> 00:58:49,200
Speaker 2: our say the union coverage over under on the midterms. Now,

1125
00:58:49,680 --> 00:58:52,240
Speaker 2: how much better do you feel going at leaving the

1126
00:58:52,320 --> 00:58:54,320
Speaker 2: end of the night compared to going into the beginning

1127
00:58:54,360 --> 00:58:57,160
Speaker 2: of the speech tonight, how much more optimistic are we

1128
00:58:57,160 --> 00:58:58,360
Speaker 2: can hold the house.

1129
00:59:00,640 --> 00:59:03,840
Speaker 4: Hold the House. It's going to be very hard in

1130
00:59:03,880 --> 00:59:06,959
Speaker 4: my view, to hold the House. I would say, look,

1131
00:59:07,000 --> 00:59:09,480
Speaker 4: I feel I'll just pick a number. I feel twenty

1132
00:59:09,560 --> 00:59:14,280
Speaker 4: percent better. If the Republicans can stay on message, if

1133
00:59:14,280 --> 00:59:17,520
Speaker 4: the Republicans cannot devolve into petty in fighting, if the

1134
00:59:17,560 --> 00:59:22,720
Speaker 4: Republicans can be disciplined in the way they campaign, these

1135
00:59:22,720 --> 00:59:26,040
Speaker 4: are all you know. If wishes were horses, beggars would ride.

1136
00:59:26,560 --> 00:59:31,080
Speaker 4: I still think historic headwins best of circumstances. The party

1137
00:59:31,160 --> 00:59:33,520
Speaker 4: and power, especially with unified government, loses the House in

1138
00:59:33,560 --> 00:59:36,960
Speaker 4: the midterms. However, I think that the President did every

1139
00:59:37,320 --> 00:59:41,640
Speaker 4: single thing possible to put the party in an advantage

1140
00:59:41,680 --> 00:59:42,600
Speaker 4: heading into the center.

1141
00:59:44,240 --> 00:59:50,800
Speaker 3: And look, my view right now, the political environment is rough. Yes,

1142
00:59:51,480 --> 00:59:54,320
Speaker 3: if the election were today, it.

1143
00:59:54,320 --> 00:59:55,480
Speaker 4: Would not be a great outcome.

1144
00:59:56,760 --> 01:00:00,480
Speaker 3: We are nationally in about a D plus six and environment.

1145
01:00:00,560 --> 01:00:04,560
Speaker 3: What that means is where polling is nationally is about

1146
01:00:04,560 --> 01:00:07,080
Speaker 3: six points more Democrat than it was an election day

1147
01:00:07,080 --> 01:00:10,120
Speaker 3: in twenty twenty four. If we're in a D plus

1148
01:00:10,160 --> 01:00:15,480
Speaker 3: six environment, we lose the House and the Senate.

1149
01:00:15,200 --> 01:00:16,400
Speaker 4: Is potentially in jeopardy.

1150
01:00:16,960 --> 01:00:20,480
Speaker 3: Crazy if the election were today, that would be a

1151
01:00:20,480 --> 01:00:23,800
Speaker 3: real possibility. The good news is we got eight months

1152
01:00:24,760 --> 01:00:29,120
Speaker 3: and the substantive record is phenomenally good. It's not just

1153
01:00:29,160 --> 01:00:33,120
Speaker 3: a little bit good, it is insanely good. And so

1154
01:00:33,200 --> 01:00:37,080
Speaker 3: tonight was encouraging because Trump focused most of his time

1155
01:00:38,000 --> 01:00:41,800
Speaker 3: on laying out methodically that substantive record and just how

1156
01:00:41,840 --> 01:00:45,240
Speaker 3: good it is and what we have to do. I mean,

1157
01:00:45,360 --> 01:00:48,800
Speaker 3: I do like that we have eight months. Most Americans

1158
01:00:48,840 --> 01:00:51,360
Speaker 3: don't know all these victories we're winning exactly, and so

1159
01:00:51,520 --> 01:00:56,680
Speaker 3: our task is communicate the victories that are making a

1160
01:00:56,840 --> 01:00:59,720
Speaker 3: real difference in people's lives. But the good news is

1161
01:01:01,000 --> 01:01:03,840
Speaker 3: we have a monster amount of substance to talk about.

1162
01:01:03,880 --> 01:01:06,600
Speaker 3: We just need to talk about it. And and I

1163
01:01:06,600 --> 01:01:12,040
Speaker 3: think if we make that case, we could certainly keep

1164
01:01:12,080 --> 01:01:14,720
Speaker 3: the House and the Senate and grow our majorities in there.

1165
01:01:14,760 --> 01:01:17,520
Speaker 2: You go, Michael, next year, say the Union, you and

1166
01:01:17,520 --> 01:01:19,520
Speaker 2: I will be hanging out. We'll make sure we invite

1167
01:01:19,520 --> 01:01:21,280
Speaker 2: Center Cruz and so we can.

1168
01:01:22,200 --> 01:01:24,680
Speaker 3: Maybe maybe maybe you're gonna make me fly home.

1169
01:01:25,080 --> 01:01:27,560
Speaker 2: It might make you fly somewhere exactly exactly we'll tell

1170
01:01:27,600 --> 01:01:29,600
Speaker 2: you while you're on the tarmac. Don't worry, there'll be

1171
01:01:29,600 --> 01:01:31,920
Speaker 2: plenty of time if you get off the plane. Don't forget.

1172
01:01:31,920 --> 01:01:34,320
Speaker 2: We do this show money Wednesday Friday. Always a pleasure

1173
01:01:34,320 --> 01:01:38,200
Speaker 2: to have you, Michael, hanging out on a really fun evening.

1174
01:01:38,640 --> 01:01:41,400
Speaker 2: Hit the download auto auto subscribe button. You can watch

1175
01:01:41,520 --> 01:01:44,160
Speaker 2: us on YouTube or Facebook as well. The Center and

1176
01:01:44,200 --> 01:01:46,080
Speaker 2: I will see you back here in a couple of days.