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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 rephrase that center true or Fosse. You and

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Speaker 2: I hung out yesterday in your office.

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Speaker 1: We did, and you were in DC, and I can't

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Speaker 1: help it that you fled Washington during the State of

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Speaker 1: the Union and listen Karve's a and so when you

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Speaker 1: decided you were a little girl and you had to

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Speaker 1: get out of town because the Democrats getting mad at

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Speaker 1: the president were scary. Ben, what do you think of

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Speaker 1: 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 and.

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Speaker 1: Say, you guys are crazy.

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Speaker 3: Yeah, you guys are crazy.

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Speaker 4: Line, And it came as the third most incredible line.

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Speaker 4: I mean, there were a lot of them, Yeah, but.

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

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Speaker 3: 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 3: So I'm sitting there.

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Speaker 4: It was very kind of Speaker Johnson to invite me,

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Speaker 4: and I'm sitting over the Democrats, so I got a

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Speaker 4: prime view of the Democrats. And the first line that

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Speaker 4: really brought down the House was when President Trump looked

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Speaker 4: over and it was beautifully written.

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Speaker 3: And beautifully executed.

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Speaker 4: He looked over, he said, Okay, I want everyone to

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Speaker 4: stand up. If you agree with the statement that America

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Speaker 4: should protect Americans.

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Speaker 1: Effect and over illegals.

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Speaker 4: Yes, and they refuse to stand political malpractice the likes

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Speaker 4: of which one has rarely seen. And it was a

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Speaker 4: brutal moment. He totally took advantage then.

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Speaker 1: So that moment will be played in a million campaigns. Yes,

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Speaker 1: and by the way, it was the longest sustained applause

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Speaker 1: of Republicans. We stood and we applauded, and we applauded,

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Speaker 1: and he just looked over with amazement watching them, and

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Speaker 1: and the ad rights itself there for illegals and not

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Speaker 1: for you. And they were given that choice, do you

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Speaker 1: stand with Americans or do you stand with illegals? And

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Speaker 1: the entire party No, we're the party of illegal aliens

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Speaker 1: and not the party of Americans.

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Speaker 3: It was shocking.

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Speaker 4: So then he doubles down on I'm skipping around a

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Speaker 4: little bit in time because it escalates.

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Speaker 3: Well by the way, he noticed 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,

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

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

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Speaker 2: was like, I'm gonna keep doing this tonight to show

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Speaker 2: Americans how crazy these guys are on the left. That's

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Speaker 2: 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.

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Speaker 3: 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 and was sympathetic. You're 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.

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Speaker 3: That itself is disgraceful. But he even gave them an out.

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Speaker 4: He said, we're a country where we say in God

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Speaker 4: we trust, and we reject political violence of all kinds.

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Speaker 3: And I was looking over some Democrats stood for that.

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Speaker 1: I'd said more than half on the political violence. I

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Speaker 1: looked as it was probably sixty seventy percent think about that.

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Speaker 1: 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.

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Speaker 1: Morals well, and on the we don't stand for political violence.

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Speaker 1: The reason two thirds stood is Schumer stood. By the way,

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Speaker 1: have you ever noticed how much Chuck Schumer looks like

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Speaker 1: the villain and the Smurfs. What's what's the name? I

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Speaker 1: don't even remember the name of the villain, like the

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Speaker 1: curved over like like you know, he's hunched. He has

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Speaker 1: kind of a hunchback.

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Speaker 3: Maybe Penguin from Batman was what I got.

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Speaker 1: Yeah, but he's sort of no.

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Speaker 3: 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 us A U S A. At one

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Speaker 2: of the points in the speech, she was chanting kkk

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Speaker 2: kkk kkk.

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Speaker 1: Really yes, prison advertising credit credit.

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Speaker 3: For 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 us A.

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Speaker 1: Well, and the KKK was founded by Democrats. It was

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Speaker 1: almost exclusively populated by Democrats. Nathan Bedford Forrest, the founder

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Speaker 1: of the clan, was a delegate a delegate to the

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Speaker 1: d NC National Convention eighteen sixty. He was a national

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Speaker 1: delegate and you look at the Klan was founded by Democrats.

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Speaker 1: Jim Crow. Laws were founded by Democrats. Segregation was enforced

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Speaker 1: by Democrats. They have been the party of racial bigotry

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Speaker 1: the entire history. And by the way, our party, I mean,

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Speaker 1: we often refer to our party as the Party of Lincoln,

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Speaker 1: but we were literally founded to abolished slavery, right, That's

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Speaker 1: why the Republican Party came together. And by the way

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Speaker 1: we did. The first Republican president is who signed the

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Speaker 1: 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 hostage released, both dead

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Speaker 4: and alive. Yeah, we returned even their remains. And most

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

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Speaker 4: were sitting down.

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Speaker 1: Yep. Yeah. And by the way, at one point they

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Speaker 1: heckled when there was a reference to the end of

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Speaker 1: the war in Gaza. They heckled and screamed, Jennis, I mean,

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Speaker 1: that's that's who their party is.

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

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Speaker 2: Democrat responses like that's not good for your party when

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Speaker 2: you're that broken.

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Speaker 1: Four 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: at the next level monitor, and then you had the

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Speaker 2: Virginia governor. You had four official responses.

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Speaker 1: Sorry, I'm gonna have to disagree with you. I don't

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Speaker 1: even know who they were, but there are four who

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Speaker 1: were progressive radicals.

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Speaker 2: Well, I agree with you. Yes, I'm giving you their

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Speaker 2: their official statement, but they they literally had Hey, depending

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Speaker 2: on how crazy you are, if you're a Marxist, socialist, communist,

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Speaker 2: or a radical lefty or like the transgender, or maybe

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Speaker 2: just like a normal democrat, Uh, here's your all of

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Speaker 2: your responses for you, and we'll have all of those

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Speaker 2: for you.

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Speaker 1: So right after the State of the Union, I did Hannity,

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Speaker 1: and as I was sitting there waiting to go on,

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Speaker 1: Fox wouldn't put Hannity on air until Spamberger finished her response.

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Speaker 1: So I said, and put my airpiece in and it's

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Speaker 1: just her voice screeching and loud, and I'm turned to

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Speaker 1: Handy and I said, Sean, I haven't led nearly a

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Speaker 1: wicked enough life to deserve to listen to this. As

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Speaker 1: I just turned the volume off, I'm like, I can't.

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Speaker 1: 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 Basher 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.

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Speaker 1: Live, they'll lie, they'll.

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Speaker 4: Run as moderates, and they will immediately enact the most

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Speaker 4: radical leftist agenda you could maybe imagine.

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Speaker 1: I love that the President brought up that to shovel

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Speaker 1: snow in New York. Under my motor ID you need

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Speaker 1: two forms of id which I actually had been advising.

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Speaker 1: I think humor is a really powerful way to drive

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Speaker 1: this point. And I think that and also the fact

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Speaker 1: that John ossoff to get to his rally against photo

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Speaker 1: I D for voting.

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Speaker 2: You had to show an idot, you had to show

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Speaker 2: vote I D.

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Speaker 3: Yeah, this kick.

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Speaker 4: Was the key, I mean, really the reason that the

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Speaker 4: State of the Union succeeded. And I agree it was

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Speaker 4: one of Trump's best speeches. The Warsaw speech in the

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Speaker 4: first term was also an excellent speech, but this was

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Speaker 4: up there, and I think the reason it succeeded was

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Speaker 4: the president had to reassure voters who voted for him

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Speaker 4: on mass you know, he won the popular vote. He

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Speaker 4: had to reassure them that we are still the party

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Speaker 4: of normal, of safety, of flourishing, of sanity.

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Speaker 3: Of sanity.

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Speaker 4: Where I think some voters you have this question after

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Speaker 4: the Minneapolis immigration enforcement Why is it that voters still

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Speaker 4: support mass deportations but oppose ice supporting people. You know,

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Speaker 4: that's kind of a contradiction. Why is it that the

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Speaker 4: fundamentals of the economy are looking pretty good? You know,

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Speaker 4: record ized stock market, pretty good, inflation, pretty good, job numbers,

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Speaker 4: pretty good GDP could have been better if not for

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Speaker 4: the government shutdown that the Dems gave us. Why is

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Speaker 4: it that they're a little the voters are worried about

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Speaker 4: the economy, but the economy seems to be doing well.

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Speaker 4: It's it's this fear that we're in a precarious moment.

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Speaker 4: And so I think both sides went into this saying

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

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Speaker 4: of normal and flourishing. That's why Hakim Jeffries told the

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

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Speaker 4: don't show up.

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Speaker 1: You know, I think it's sole Green got thrown out.

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Speaker 3: Al Green couldn't resist aast.

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

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Speaker 2: to walk around with, right he felt, he felt just.

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Speaker 1: So, and as signs said blacks aren't apes. Yeah, And

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Speaker 1: I turned. I was sitting next to Todd Young and

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Speaker 1: I said, wow, is out Green protesting Gavin Newsom?

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Speaker 3: Yeah? Yeah, look like it.

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Speaker 1: By the way, Gavin Newsom, he's like the perfect Democrat

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Speaker 1: made in the laboratory, an idiot, open racist goes in

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Speaker 1: front of a crowd of African Americans and goes, I'm

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Speaker 1: just like you, You're stupid and I am too unbelievable.

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Speaker 4: The Newsome thing is really frustrating because right now he

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Speaker 4: is the leading candidate for the Democrats, I think, without question,

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Speaker 4: and he is bettered at the Munich Security Conference.

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Speaker 3: Newsome's still the leading candidate.

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Speaker 4: And on the one hand, he has these social media

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Speaker 4: posts where he's sitting there performatively reading Beloved by Tony Morrison,

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Speaker 4: performatively reading all these books that.

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Speaker 1: Are by the way, are you aware that Newsom let

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Speaker 1: himself on fire in social media exchange about Verdict. No,

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Speaker 1: so coming back from Munich, did we did a whole

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Speaker 1: show on Munich lighting up AOC and lighting up Newsom

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Speaker 1: and Newsom and Munich said Donald Trump is the first

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Speaker 1: president in history to federalize the National Guard, and so

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Speaker 1: on verdict. I said, Gavin Newsom is historically illiterate. Yes, uh,

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Speaker 1: actually you talked about it. I defended your use of

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Speaker 1: the English language properly, and so I said that, and

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Speaker 1: then he tweeted out he said, calling someone who's dyslexic

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Speaker 1: illiterate is a new low, even for Cruise. And mind you,

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Speaker 1: who knew he was dyslexic? I didn't know that.

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Speaker 2: Yeah, for a guy that then also claims in a

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Speaker 2: white podcast so he can read a three hundred page

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Speaker 2: book in two hours. Don't forget that came out as well.

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Speaker 2: So so much for being majorly dyslexic, right the sign.

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Speaker 4: I don't know if you guys saw the memes that

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Speaker 4: were going around. So I lost a bet on this.

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Speaker 4: I bet that the Democrats would not have a member

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Speaker 4: ejected from the speech.

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Speaker 1: I thought they might have that went down.

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Speaker 2: Did you actually believe that?

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Speaker 3: Though I didn't think that.

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Speaker 4: I thought they would listen to HACKEM Jefferies and try

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Speaker 4: to chill, but they can't know Ey Green has no chill,

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Speaker 4: so he opens up.

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Speaker 1: By the way, there's a very real chance al Green

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Speaker 1: loses his Democrat primary a week from now. Really, yeah, really,

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Speaker 1: he's actually in jeopardy. And so I think the antics

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Speaker 1: were partially. Of course, he did his antics last year,

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Speaker 1: like waving his cane, which like to embody a grumpy

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Speaker 1: old man, like get off my lawn, you kids.

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Speaker 3: It's perfect, but he made it.

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Speaker 4: He made a real optical error, which is he unfurled

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Speaker 4: the sign, which from my angle in the gallery I

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Speaker 4: could not see. I said, what's he saying? And I

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Speaker 4: guess the sign said black people aren't apes. But the

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Speaker 4: problem was the way he was holding it, the one,

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Speaker 4: the one that I saw. Maybe one of those said

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Speaker 4: that too. The one I also said black people rent apes,

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Speaker 4: which was like an unfortunate any way you slice it,

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Speaker 4: These are very unfortunate optics, And I thought, you know,

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Speaker 4: the Democrat leader in the House asked one thing. He said, hey, guys,

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Speaker 4: please don't look crazy during the speech, and as the

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Speaker 4: President is walking into the room, al Green unfurls this

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Speaker 4: sign and I thought, you have the discipline of a

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Speaker 4: fruit fly, Like, there is no chance they didn't make

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Speaker 4: it five minutes.

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Speaker 2: They're insane, all right. I have to ask you guys

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Speaker 2: being there, because one of the best lines of the

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Speaker 2: whole speech, and that was just one of those little

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Speaker 2: kind of tit for tatlines and it but it worked,

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Speaker 2: was when he was talking about insider trading and then

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Speaker 2: he said Nancy Pelosi's name, And it was amazing on

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Speaker 2: TV because if you didn't know the story.

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Speaker 1: Free one, you immediately went to every one of us

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Speaker 1: was there.

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Speaker 2: Yeah, and I was too, But like if you didn't know,

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Speaker 2: and then you saw the reaction and you heard the

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Speaker 2: hissing bit whatever it was in the hall. I don't

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Speaker 2: know exactly what they were saying. It was like they

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Speaker 2: were like, you can't say her name, like you know that.

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Speaker 2: Everybody went and googled insider trading, Nancy Pelosi and then

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Speaker 2: they learned about the story, Like they literally helped him

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Speaker 2: sell the story. What was the reaction from the were

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Speaker 2: Democrats mad or what was the reaction.

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Speaker 1: You were on the floor, Oh, look, they were mad constantly.

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Speaker 1: So is there one I will say though, there's a

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Speaker 1: difference from this year and last year. So last year

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Speaker 1: they went through the entire State of the Union and

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Speaker 1: they didn't applaud. They didn't applaud when Trump walked in.

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Speaker 1: They didn't applaud for anything. They just sat from the

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Speaker 1: stone faced and heckled and waved their cane in it.

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Speaker 1: This year, before the State of the Union, I actually

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Speaker 1: went to several Democrats and asked them. I said, okay,

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Speaker 1: are you guys going to applaud for the US hockey team, like,

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Speaker 1: come on? And they all said yes. In fact, several

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Speaker 1: of them had an expletive They said, fys. And I said, look,

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Speaker 1: to be clear, last year, you didn't applaud for a

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Speaker 1: kid with cancer. Yeah, question, okay. One of the Democrats

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Speaker 1: who I actually likes, I'm not going to identify it,

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Speaker 1: but he's got a good sense of humor. I said

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Speaker 1: that to him and he said, yeah, we hate kids

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Speaker 1: with cancer, which was like, all right, Like, don't argue,

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Speaker 1: you just kind of vote it. And I'm like, all right, well,

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Speaker 1: well played.

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Speaker 3: Like they did it again. This year.

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Speaker 4: By the way, there was a little girl who couldn't

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Speaker 4: walk who now and it was the same thing. A

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Speaker 4: good chunk of Democrats would guess they were trying to

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Speaker 4: play the stoic card. It did not read at least

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Speaker 4: from my vantage. I thought it looked really callous because

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Speaker 4: there was no unity within the party, so there was

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Speaker 4: no clear messaging. You know, look that it all seemed

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Speaker 4: pretty disastrous. The question that I have as a as

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Speaker 4: a proper conservative who is always looking for the downside

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Speaker 4: of things just to temper my you know, jubilation. Do

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Speaker 4: you think I think universally the speech was viewed as

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Speaker 4: quite good, quite effective. Does it make a meaningful difference

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Speaker 4: in the midterms?

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Speaker 3: Look, I say it does.

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Speaker 1: Do you all right? Layout why? I'll tell you why.

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Speaker 2: This speech was the things that irritate Republican slash moderate

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Speaker 2: voters about Trump, that it's all about him and he

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Speaker 2: doesn't know when to you know, the mean tweets and

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Speaker 2: the when to shut up, and the things that irritate

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Speaker 2: those that can stay home watching his demeanor tonight. He

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Speaker 2: came across in such a way of like, these guys

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Speaker 2: don't want this, These guys don't put you first, these

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Speaker 2: guys don't do this. He also was giving incredible accolades

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Speaker 2: and awards and the US hockey team. There was momentum there.

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Speaker 2: It was one after another. It was one hundred year

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Speaker 2: old man, a veteran. It was the guy who was

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Speaker 2: flying the helicopter, the Chinook and telling a story. He

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Speaker 2: was praising what makes America great and the people that

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Speaker 2: make America great. I actually think that if you are

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Speaker 2: a moderate voter, someone maybe a Republican that traditionally stays

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Speaker 2: home during the terms, I actually think that this speech

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Speaker 2: landed with you more than any other speech of Trump

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Speaker 2: the way it played on TV. I think it also

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Speaker 2: is going to land on the economic issues of him

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Speaker 2: reminding the no tax on tips, the no tax on overtime,

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Speaker 2: I'm trying to make life more affordable, the gas prices.

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Speaker 2: Those are things that I actually think, well, you know,

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Speaker 2: they've been hammering him on all the approval rings at

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Speaker 2: forty this or thirty nine or thirty depending on poll.

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Speaker 2: I think he gets a bump that actually stays because

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Speaker 2: he landed it so well in the audience, and he

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Speaker 2: looked really calm, He looked really just like I'm doing

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Speaker 2: this because I want to fix the country, and other

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Speaker 2: speeches haven't come across that way.

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Speaker 3: Always.

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Speaker 1: Yeah, let me agree with you in that I think

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Speaker 1: the message tonight was the record of the last year.

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Speaker 3: Yeah.

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Speaker 1: The record of the last year, I believe is objectively phenomenal. Yeah.

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Speaker 1: And I've been in the Senate now fourteen years. We've

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Speaker 1: never had a year where we accomplished even a fraction

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Speaker 1: of what you have been accomplished in the last year.

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Speaker 1: I mean, it is staggering. And he did a good job.

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Speaker 1: You know, we talked about on the last pod how

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Speaker 1: how I spent thirty forty minutes on the phone with

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Speaker 1: Trump last week, and one of the things we talked

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Speaker 1: about was messaging for the midterms, and I said, listen,

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Speaker 1: we need to focus on results, on the very real

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Speaker 1: results securing the border, ninety nine percent drop in ELU crossings.

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Speaker 1: And then I encouraged him a message that's not getting

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Speaker 1: the attention it should is the impact on crime. Yes,

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Speaker 1: the murder rates have dropped twenty percent, drug overdose deaths

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Speaker 1: have dropped twenty percent. They're literally thousands of Americans who

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Speaker 1: were alive today because Trump was elected and Republicans won Congress.

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Speaker 1: It's a great message and that's been lost. And I

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Speaker 1: was really happy, like the first twenty minutes of the

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Speaker 1: speak each were laying out that message and going through

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Speaker 1: murder rates and crime rates and d C rates and

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Speaker 1: like how unhappy the Democrats were that crime rates had

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Speaker 1: plummeted in d C and New Orleans and your hometown

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Speaker 1: of Memphis, Memphis. Yeah, the Democrats were furious that fewer

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Speaker 1: people are being murdered.

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Speaker 3: They wouldn't stand up on mass for murder declining. You

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Speaker 3: know this.

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Speaker 4: I was looking at the polls and agriate of the

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Speaker 4: polls from just January and February leading into.

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Speaker 1: This, And to be fair, the pro murder community in

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Speaker 1: America is pretty small.

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Speaker 3: It is.

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Speaker 4: Look, it's a constituency, but it's not the one you want.

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Speaker 4: And so I was looking at as agrid of polls, Mayris, PBS,

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Speaker 4: a handful of others. And the hard fact I spoke

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Speaker 4: to some members of Congress about this today. The hard

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Speaker 4: fact is Republicans are underwater on the economy, on economic perception.

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Speaker 4: I think you could could turn it around, but right

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Speaker 4: now we're a little bit underwater.

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Speaker 3: On healthcare.

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Speaker 4: Democrats always went on healthcare and on a defensive demand

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Speaker 4: ocracy or it's kind of a contrived category, but anyway,

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Speaker 4: they went on that. So the ones that we're winning

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Speaker 4: on right now quite decisively are immigration and border enforcement

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Speaker 4: even more so now the border is shut down, and

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Speaker 4: especially on crime. So the key, it seems to me,

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Speaker 4: is one that tells you people are concerned about safety,

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Speaker 4: and two, if you can tie all of that together,

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Speaker 4: the crime relates obviously to illegal immigration, that's why it's

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Speaker 4: called illegal and the housing prices even all the way

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Speaker 4: to the you know the fact that you have six

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Speaker 4: months consecutive decline on housing prices coinciding with Massy petition two.

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Speaker 1: Million people being deported, and that's just less demand, right

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Speaker 1: you know. By the way, like a couple of weeks ago,

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Speaker 1: the Houston Chronicle had a front page story that said

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Speaker 1: murder rates in Houston have declined eighteen percent. Yep, And

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Speaker 1: Heidi showed me the article because you knew. It pissed

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Speaker 1: me off because the article the Chronicles says nobody can

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Speaker 1: figure out why. It's completely inexplicable. The experts we talk

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Speaker 1: about have no idea why the murder rate is dropping,

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Speaker 1: and it doesn't occur to them that arresting and deporting

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Speaker 1: murderers and gang bangers will reduce the murder rate. Like

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Speaker 1: it's not this is not rocket science. Yeah, fewer murderers

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Speaker 1: means fewer murders, but yet to Democrats that makes no

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Speaker 1: sense to them, and so that message was good. I

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Speaker 1: also liked on no tax on tips that he had

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Speaker 1: the mom who is the waitress stand up and he said,

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Speaker 1: between no tax on tips and no tax on overtime,

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Speaker 1: she's going to take home five thousand more dollars this

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Speaker 1: year than last year. That was real and it's not abstract.

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Speaker 1: And by the way, the Democrats wouldn't appoud for like

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Speaker 1: the mom waiting tables. They're not rooting for her, and

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Speaker 1: they want to take that five thousand dollars and that's

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Speaker 1: real money.

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Speaker 4: You know, five thousand dollars is real money. It's not

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Speaker 4: some abstraction. So nuts and bolts. You know, if this

439
00:23:02,040 --> 00:23:05,199
Speaker 4: was a speech, obviously you're at the midterms. Do you

440
00:23:05,320 --> 00:23:07,119
Speaker 4: think it moves the needle?

441
00:23:08,400 --> 00:23:11,200
Speaker 1: I did keep message discipline of focusing on it. Yes.

442
00:23:12,000 --> 00:23:15,320
Speaker 2: By the way, yes, yesterday morning you and I Adam talking

443
00:23:15,320 --> 00:23:19,199
Speaker 2: about this. I had breakfast a speaker Johnson, and you

444
00:23:19,240 --> 00:23:21,080
Speaker 2: talk about the reason why I think this one sticks.

445
00:23:21,840 --> 00:23:26,199
Speaker 2: There is a very real sense that Republican leadership have

446
00:23:26,320 --> 00:23:28,879
Speaker 2: our act together for once that we haven't had in

447
00:23:28,880 --> 00:23:33,040
Speaker 2: a long time. I also think that matters. Speaker Johnson

448
00:23:33,080 --> 00:23:37,800
Speaker 2: understands he basically has a one person majority he does

449
00:23:37,840 --> 00:23:40,760
Speaker 2: not want to have, and President Trump doesn't want to

450
00:23:40,760 --> 00:23:45,000
Speaker 2: have the Democrats take over the House. It is insanely slim,

451
00:23:45,320 --> 00:23:48,000
Speaker 2: and I think they're working so well together the same

452
00:23:48,000 --> 00:23:50,040
Speaker 2: way Center that you work so well with the President.

453
00:23:50,440 --> 00:23:52,800
Speaker 2: There does seem to be that we're actually on the

454
00:23:52,880 --> 00:23:55,840
Speaker 2: same team for once. I've not experienced that many times

455
00:23:55,880 --> 00:23:58,479
Speaker 2: in my life in the Republican Party. Like there's always

456
00:23:58,480 --> 00:24:00,399
Speaker 2: the ind fighting. We always not as screw up when

457
00:24:00,400 --> 00:24:04,320
Speaker 2: we get power. There's different people jocking for positions. There

458
00:24:04,400 --> 00:24:06,320
Speaker 2: does seem to be a little bit of momentum now

459
00:24:06,320 --> 00:24:07,960
Speaker 2: that we're on the same team going in the midterms.

460
00:24:08,040 --> 00:24:10,160
Speaker 2: That's the other reason I think this speech will continue

461
00:24:10,200 --> 00:24:12,639
Speaker 2: in the momentum because you have Johnson others advocating.

462
00:24:13,680 --> 00:24:18,160
Speaker 1: Look, I hope so to play devil's advocate. We're a

463
00:24:18,520 --> 00:24:21,879
Speaker 1: very divided country, and so the people who hate Trump

464
00:24:22,480 --> 00:24:25,000
Speaker 1: still hate him after the speech for surecause they're not

465
00:24:25,080 --> 00:24:29,560
Speaker 1: actually listening. I do think Ben, you focused on the

466
00:24:29,640 --> 00:24:32,440
Speaker 1: right area, which is the people who voted for him

467
00:24:32,480 --> 00:24:36,560
Speaker 1: in twenty four but may be demoralized by the press

468
00:24:36,640 --> 00:24:39,920
Speaker 1: narrative that has been driven and to the extent this

469
00:24:40,040 --> 00:24:44,000
Speaker 1: focuses them on, Wow, we're winning some big, big victories.

470
00:24:44,400 --> 00:24:47,600
Speaker 1: I also really liked Look the no tax on tips emphasis.

471
00:24:47,680 --> 00:24:51,399
Speaker 1: I liked because I wrote that bill. And I really

472
00:24:51,520 --> 00:24:54,480
Speaker 1: liked his emphasis on the Trump accounts because, as you

473
00:24:54,520 --> 00:24:58,119
Speaker 1: guys know, I wrote that too, and the Democrats wouldn't

474
00:24:58,119 --> 00:24:58,560
Speaker 1: applaud for that.

475
00:24:58,680 --> 00:25:01,560
Speaker 4: I'm sorry, I actually have to pa because I'm sitting

476
00:25:01,600 --> 00:25:04,440
Speaker 4: in the upper part of the gallery to the right.

477
00:25:04,680 --> 00:25:06,280
Speaker 3: If you're the president.

478
00:25:06,000 --> 00:25:09,520
Speaker 4: Pointing and you didn't get everyone was standing up at

479
00:25:09,520 --> 00:25:12,560
Speaker 4: certain moments. That was one where I bolted up, and

480
00:25:12,640 --> 00:25:14,360
Speaker 4: other people were kind of slower. I think they didn't

481
00:25:14,440 --> 00:25:17,800
Speaker 4: quite process what the Trump accounts meant. I'm really into

482
00:25:17,800 --> 00:25:20,560
Speaker 4: the Trump accounts. Like the Trump accounts I think are

483
00:25:20,760 --> 00:25:25,840
Speaker 4: such a white pill, you know, focusing on which is

484
00:25:25,880 --> 00:25:28,680
Speaker 4: an existential issue. It's so practical, and I'm going to

485
00:25:28,720 --> 00:25:31,320
Speaker 4: confess something. I should follow this. I'm like, professionally, I'm

486
00:25:31,320 --> 00:25:34,760
Speaker 4: supposed to follow this closely. I did not know that

487
00:25:34,920 --> 00:25:37,640
Speaker 4: you were pushing the Trump accounts. You were, I wrote

488
00:25:37,640 --> 00:25:40,320
Speaker 4: it unbelievable. I should have known, but I didn't know.

489
00:25:40,520 --> 00:25:42,280
Speaker 1: In fact, do you want to hear the story of

490
00:25:42,320 --> 00:25:44,679
Speaker 1: the origin of the Trump accounts. It's a cool story.

491
00:25:44,680 --> 00:25:46,359
Speaker 1: I've told it on the pod, but not in a while.

492
00:25:47,640 --> 00:25:52,320
Speaker 1: So they originated from a poker game in Vegas. So,

493
00:25:52,520 --> 00:25:55,720
Speaker 1: as you guys know, I like poker. And so we're

494
00:25:55,760 --> 00:25:58,640
Speaker 1: sitting at the Bellagia three in the morning and Phil Hellmuth,

495
00:25:59,359 --> 00:26:02,560
Speaker 1: who's one of the greatest poker players to have ever lived.

496
00:26:02,560 --> 00:26:05,160
Speaker 1: Phil would tell you he is the greatest poker player

497
00:26:05,200 --> 00:26:07,400
Speaker 1: to ever live, and he's got a real argument to it.

498
00:26:08,480 --> 00:26:11,880
Speaker 1: He's got I think fifteen bracelets, so it's crazy.

499
00:26:12,359 --> 00:26:12,880
Speaker 3: That's a lot.

500
00:26:13,840 --> 00:26:16,199
Speaker 1: So we're sitting there playing poker and he asks me,

501
00:26:16,240 --> 00:26:20,480
Speaker 1: he says, hey, do you know Brad Gerster And at

502
00:26:20,480 --> 00:26:23,040
Speaker 1: the time I didn't, I'm like, yeah, who's he? And

503
00:26:23,119 --> 00:26:28,239
Speaker 1: he's a very successful venture capitalist in Silicon Valley and

504
00:26:28,280 --> 00:26:31,879
Speaker 1: he has this idea that was called invest America And like,

505
00:26:31,960 --> 00:26:35,159
Speaker 1: what's that? And Phil describes it for a minute and

506
00:26:35,200 --> 00:26:38,000
Speaker 1: I said, Hey, that sounds like something I'd be really

507
00:26:38,040 --> 00:26:42,359
Speaker 1: interested in. And so Phil pulls out his phone and

508
00:26:42,400 --> 00:26:44,720
Speaker 1: he puts together a text thread and connects me and

509
00:26:44,800 --> 00:26:47,800
Speaker 1: Brad and says, you two should should talk. You would

510
00:26:47,800 --> 00:26:51,240
Speaker 1: really like each other. The next week, Brad gets on

511
00:26:51,280 --> 00:26:54,639
Speaker 1: a plane, flies to DC, comes to my office and

512
00:26:54,800 --> 00:26:59,560
Speaker 1: pitches the invest America accounts. I immediately called my policy

513
00:26:59,560 --> 00:27:03,000
Speaker 1: team in and said, let's start drafting this. So we

514
00:27:03,200 --> 00:27:06,760
Speaker 1: drafted the legislation. Now, Brad has said for months he

515
00:27:06,800 --> 00:27:09,720
Speaker 1: had talked to a bunch of other senators and none

516
00:27:09,760 --> 00:27:12,040
Speaker 1: of them did a damn thing. Huh. He talked to

517
00:27:12,080 --> 00:27:14,440
Speaker 1: them and they'd all kind of nod and be like, yeah, yeah,

518
00:27:14,480 --> 00:27:16,159
Speaker 1: that's a great idea, and then no one would do anything.

519
00:27:16,480 --> 00:27:20,159
Speaker 1: We sat down and wrote the bill. That is the

520
00:27:20,200 --> 00:27:23,760
Speaker 1: bill that is Trump Accounts. It was my bill, great

521
00:27:24,080 --> 00:27:29,520
Speaker 1: that we wrote, and it is literally the case that

522
00:27:29,560 --> 00:27:32,560
Speaker 1: if Phil Hellmuth does not connect me with Brad Gersner

523
00:27:32,720 --> 00:27:36,119
Speaker 1: April a year ago, there are no Trump accounts, and

524
00:27:36,160 --> 00:27:39,600
Speaker 1: the American the kids of America do not have trillions

525
00:27:39,640 --> 00:27:41,680
Speaker 1: and investments, which is what they're going.

526
00:27:41,600 --> 00:27:43,919
Speaker 2: To have through Trump account You know, this is Michael, Michael,

527
00:27:44,000 --> 00:27:45,680
Speaker 2: you know what I heard there By the way I

528
00:27:45,760 --> 00:27:48,200
Speaker 2: heard that. Could you imagine the bills that could have

529
00:27:48,320 --> 00:27:51,760
Speaker 2: been written if you, Michael and I were there at

530
00:27:51,800 --> 00:27:55,720
Speaker 2: that table, I know, I mean, we could have come

531
00:27:55,800 --> 00:27:58,680
Speaker 2: up with we could have cured cancer. Maybe at this point.

532
00:27:58,480 --> 00:28:00,320
Speaker 3: We could have ended the ninth and tenth Wars.

533
00:28:00,400 --> 00:28:03,320
Speaker 2: That could have added to the record State Department, the

534
00:28:03,400 --> 00:28:04,760
Speaker 2: ending of the Michael and Ben Warres.

535
00:28:04,800 --> 00:28:05,199
Speaker 1: I like this.

536
00:28:05,359 --> 00:28:08,000
Speaker 4: You know, the thing that I love about the Trump

537
00:28:08,000 --> 00:28:12,679
Speaker 4: Accounts in particular from the Republican coalitional standpoint, is there,

538
00:28:12,840 --> 00:28:15,440
Speaker 4: you know, the right always has all these different ideological

539
00:28:15,720 --> 00:28:19,200
Speaker 4: factions because we're more independent thinkers, and the left has

540
00:28:19,240 --> 00:28:22,200
Speaker 4: progressives and very progressives and John Fetterman, I guess, and

541
00:28:22,280 --> 00:28:24,119
Speaker 4: we you know, we kind of have all these divisions.

542
00:28:24,200 --> 00:28:26,000
Speaker 4: And so one of the divisions that's come about in

543
00:28:26,040 --> 00:28:28,800
Speaker 4: recent years, last five or ten years, is people who

544
00:28:28,800 --> 00:28:31,960
Speaker 4: are focused on more the common good, you know, kind

545
00:28:31,960 --> 00:28:34,800
Speaker 4: of an Aristotelian view of politics, and people are more

546
00:28:34,840 --> 00:28:38,520
Speaker 4: focused on the libertarian view that comes from classical liberalism.

547
00:28:38,120 --> 00:28:39,000
Speaker 3: Up through Sayhayek.

548
00:28:39,480 --> 00:28:41,800
Speaker 4: And what I love about the Trump accounts is it

549
00:28:41,840 --> 00:28:45,400
Speaker 4: actually marries the two. It's this beautiful It just hits

550
00:28:45,440 --> 00:28:49,360
Speaker 4: this sweet spot. It's good that no flattery because I

551
00:28:49,360 --> 00:28:50,920
Speaker 4: actually didn't even know you were behind it.

552
00:28:51,120 --> 00:28:52,640
Speaker 3: That is really good.

553
00:28:52,680 --> 00:28:56,080
Speaker 1: By the way, we had Brad on Verdict, you know,

554
00:28:56,160 --> 00:28:58,240
Speaker 1: he's he's come on Verdict and talked about the whole

555
00:28:58,280 --> 00:29:01,480
Speaker 1: idea and Brad came up with the idea with his

556
00:29:01,600 --> 00:29:06,480
Speaker 1: two teenage sons and they spent years pushing it, and

557
00:29:07,840 --> 00:29:09,800
Speaker 1: Brad was there and recognized by the President of the

558
00:29:09,800 --> 00:29:13,360
Speaker 1: State of the Union. So Brad had put together a

559
00:29:13,400 --> 00:29:17,080
Speaker 1: CEO's council behind the Invest America accounts, and the chairman

560
00:29:17,120 --> 00:29:19,440
Speaker 1: of it was Michael Dell. And Michael's a good friend

561
00:29:19,440 --> 00:29:20,760
Speaker 1: of mine. He's a Texan and we spent a lot

562
00:29:20,800 --> 00:29:26,320
Speaker 1: of time together. And the CEOs had all committed that

563
00:29:26,400 --> 00:29:29,200
Speaker 1: they would contributor match to Trump accounts. So they are

564
00:29:29,200 --> 00:29:32,120
Speaker 1: two accelerators that are written into these Trump accounts that

565
00:29:32,200 --> 00:29:35,720
Speaker 1: make them even more potent. Number one is that employers

566
00:29:35,760 --> 00:29:41,560
Speaker 1: can contributor match. And listen, when Congress passed Section four

567
00:29:41,600 --> 00:29:46,479
Speaker 1: oh one K of ARISA, nobody knew how fundamentally they

568
00:29:46,520 --> 00:29:50,200
Speaker 1: were changing how Americans save for retirement. Today, there's more

569
00:29:50,240 --> 00:29:52,880
Speaker 1: than twelve trillion dollars in four to one K accounts.

570
00:29:54,000 --> 00:29:56,720
Speaker 1: Trump accounts are four to one case for kids, So

571
00:29:56,880 --> 00:29:59,400
Speaker 1: in very short order you're going to see trillions of

572
00:29:59,440 --> 00:30:06,280
Speaker 1: dollars in there. The two accelerators, one is that employers

573
00:30:06,320 --> 00:30:08,800
Speaker 1: can contributor match, and so all the employers on the

574
00:30:08,840 --> 00:30:12,600
Speaker 1: CEO Council had already committed we're going to contributor match.

575
00:30:13,080 --> 00:30:17,000
Speaker 1: This is going to become a ubiquitous as standard employee benefit,

576
00:30:17,200 --> 00:30:20,040
Speaker 1: just like a four to one K contribution is a

577
00:30:20,040 --> 00:30:23,800
Speaker 1: pretty standard employee benefit. You're gonna see employers. We're already

578
00:30:23,800 --> 00:30:27,920
Speaker 1: seeing a bunch who will match or contribute to the

579
00:30:27,960 --> 00:30:30,280
Speaker 1: Trump accounts of the kids of their employees. So that

580
00:30:30,440 --> 00:30:34,360
Speaker 1: accelerates massively. The second thing, and we deliberately wrote this

581
00:30:35,240 --> 00:30:37,880
Speaker 1: so that it can accept philanthropy and it can accept

582
00:30:37,960 --> 00:30:42,880
Speaker 1: charitable gifts. And as you know, Michael and Susan Dell

583
00:30:43,760 --> 00:30:47,560
Speaker 1: have given six and a quarter billion dollars and what

584
00:30:47,600 --> 00:30:51,440
Speaker 1: they've given is two hundred and fifty dollars for America's

585
00:30:51,440 --> 00:30:56,120
Speaker 1: two hundred and fiftyth birthday, to every child in America

586
00:30:56,720 --> 00:31:01,360
Speaker 1: under age ten who lives in a zip code where

587
00:31:01,360 --> 00:31:03,720
Speaker 1: the median income is one hundred and fifty thousand or less.

588
00:31:04,440 --> 00:31:06,840
Speaker 1: And so we wrote it so you can turn the dials.

589
00:31:07,320 --> 00:31:10,080
Speaker 1: You can turn the dials geographically, you can turn the

590
00:31:10,120 --> 00:31:12,720
Speaker 1: dials age wise, you can turn the dials income wise.

591
00:31:13,480 --> 00:31:20,040
Speaker 1: So Michael's done that. Brad Gerstner has given two hundred

592
00:31:20,040 --> 00:31:24,080
Speaker 1: and fifty dollars to every kid in Indiana under age

593
00:31:24,120 --> 00:31:28,200
Speaker 1: five in zip codes with median income of one hundred

594
00:31:28,200 --> 00:31:31,040
Speaker 1: and fifty thousand or less. And Ray Dalio, the Hedge

595
00:31:31,040 --> 00:31:35,480
Speaker 1: Fund billionaire, has sponsored the kids in Connecticut. And I

596
00:31:35,560 --> 00:31:41,680
Speaker 1: actually have talked to a number of gazillionaires and Michael,

597
00:31:41,760 --> 00:31:44,800
Speaker 1: Dell and Brad are getting on zooms and talking to

598
00:31:44,840 --> 00:31:50,240
Speaker 1: people with great wealth. That's awesome, encouraging them give your resources.

599
00:31:50,240 --> 00:31:52,000
Speaker 1: And here Michael and I have talked at length about that,

600
00:31:52,080 --> 00:31:56,440
Speaker 1: and one of the things that he got excited about. So, look,

601
00:31:57,120 --> 00:31:59,600
Speaker 1: Michael and Susan have between one hundred billion and two

602
00:31:59,640 --> 00:32:02,600
Speaker 1: hundred million dollars, like it's a massive amount of money,

603
00:32:03,480 --> 00:32:06,920
Speaker 1: and they're smart and responsible, and so they've had serious

604
00:32:06,960 --> 00:32:13,480
Speaker 1: conversations about how do you give away your fortune? And look,

605
00:32:13,560 --> 00:32:16,000
Speaker 1: you look at people who have achieved great fortunes. They

606
00:32:16,000 --> 00:32:19,400
Speaker 1: create a foundation. The foundation gets taken over by a

607
00:32:19,400 --> 00:32:22,000
Speaker 1: bunch of Marxists who spend all their money undermining everything

608
00:32:22,040 --> 00:32:25,440
Speaker 1: the founders believe. Every time Henry Ford is rolling over

609
00:32:25,480 --> 00:32:30,400
Speaker 1: in his grave, John D. Rockefeller is spitting in his grave.

610
00:32:32,280 --> 00:32:36,800
Speaker 1: And one of the problems with that much money is

611
00:32:36,840 --> 00:32:39,160
Speaker 1: it's hard to give it away. Most charities can't take

612
00:32:39,160 --> 00:32:41,360
Speaker 1: a billion dollars like it's too much money and it

613
00:32:41,480 --> 00:32:45,400
Speaker 1: swamps them. So Michael and Susan have given six and

614
00:32:45,440 --> 00:32:49,120
Speaker 1: a quarter billion dollars, but they've told me they are

615
00:32:49,160 --> 00:32:52,840
Speaker 1: contemplating giving much much more than that.

616
00:32:52,840 --> 00:32:53,560
Speaker 2: That's so cool.

617
00:32:54,320 --> 00:32:56,560
Speaker 1: One of the things that's really powerful about these Trump

618
00:32:56,600 --> 00:33:03,000
Speaker 1: accounts is they're infinitely scalable. They could literally absorb the

619
00:33:03,240 --> 00:33:08,840
Speaker 1: entirety of Michael Dell's fortune and the fortune of every

620
00:33:08,880 --> 00:33:14,200
Speaker 1: other gazillionaire. And what is really potent is the time

621
00:33:14,320 --> 00:33:17,560
Speaker 1: value of investing. Look, if someone starts saving or investing

622
00:33:17,600 --> 00:33:21,440
Speaker 1: when they're sixty, it's hard for it to grow and

623
00:33:21,520 --> 00:33:26,520
Speaker 1: accumulate enough to be really significant by the time they

624
00:33:26,560 --> 00:33:31,080
Speaker 1: were retiring. What makes the Trump account so incredibly potent

625
00:33:32,040 --> 00:33:35,960
Speaker 1: is we're starting at age zero, We're starting at baby,

626
00:33:36,120 --> 00:33:39,760
Speaker 1: So you've got a time horizon where the kids of

627
00:33:39,840 --> 00:33:45,240
Speaker 1: a single mom waiting table can accumulate hundreds of thousands

628
00:33:45,240 --> 00:33:49,600
Speaker 1: and even millions of dollars. And so for philanthropy, the

629
00:33:49,680 --> 00:33:52,520
Speaker 1: math is powerful. If you put another thousand dollars in

630
00:33:52,560 --> 00:33:56,840
Speaker 1: at the outset, it really really grows. And so that's

631
00:33:56,920 --> 00:34:00,280
Speaker 1: something that is going to be really significant to speed

632
00:34:00,360 --> 00:34:03,480
Speaker 1: these up and and the point Michael you made, which

633
00:34:03,520 --> 00:34:07,680
Speaker 1: which got me really excited, is we're creating a new

634
00:34:07,720 --> 00:34:12,080
Speaker 1: generation of capitalists that every kid will have skin in

635
00:34:12,120 --> 00:34:14,800
Speaker 1: the game and be an owner of the biggest employers

636
00:34:14,840 --> 00:34:15,440
Speaker 1: in America.

637
00:34:15,520 --> 00:34:17,200
Speaker 3: I thought this was a really important point.

638
00:34:17,239 --> 00:34:20,160
Speaker 4: The President touched on well one that the Trump Accounts

639
00:34:20,239 --> 00:34:23,520
Speaker 4: just do that, so it gives people skin in the game.

640
00:34:23,760 --> 00:34:26,000
Speaker 4: Even when the President pointed out only half of Americans

641
00:34:26,080 --> 00:34:28,080
Speaker 4: have access to for a one case, yeah, they said,

642
00:34:28,080 --> 00:34:30,200
Speaker 4: we want to we want to bring that other half of.

643
00:34:30,120 --> 00:34:32,560
Speaker 1: Them, let them opt in to the thrift Savings plan.

644
00:34:32,640 --> 00:34:34,320
Speaker 1: That's an idea I've talked with the President in the

645
00:34:34,320 --> 00:34:36,799
Speaker 1: White House about. I think it's a brilliant idea. I

646
00:34:36,840 --> 00:34:39,799
Speaker 1: strongly support it. I'm working on legislation to do that

647
00:34:39,840 --> 00:34:43,400
Speaker 1: as well, to codify that right because it's look, the

648
00:34:43,520 --> 00:34:49,040
Speaker 1: more you can create investors, get people with equity. And

649
00:34:49,120 --> 00:34:52,480
Speaker 1: one of the important things about how how the administration

650
00:34:52,600 --> 00:34:56,680
Speaker 1: is designing the Trump Accounts app is that it is

651
00:34:56,760 --> 00:35:00,359
Speaker 1: not gonna simply say you've got X dollar in the

652
00:35:00,400 --> 00:35:00,719
Speaker 1: s and P.

653
00:35:00,800 --> 00:35:01,400
Speaker 3: Five hundred.

654
00:35:02,360 --> 00:35:06,680
Speaker 1: It's gonna break down every constituent stock they own within it.

655
00:35:06,800 --> 00:35:07,400
Speaker 3: That's awesome.

656
00:35:07,440 --> 00:35:09,319
Speaker 1: So a ten year old will be able to see

657
00:35:09,520 --> 00:35:13,359
Speaker 1: I own one hundred bucks of Apple or Tesla or

658
00:35:13,400 --> 00:35:18,360
Speaker 1: Ford or McDonald's, and they'll see so so a kid

659
00:35:18,440 --> 00:35:21,120
Speaker 1: won't be rooting. I hate evil corporations. I want them

660
00:35:21,120 --> 00:35:23,320
Speaker 1: to fail. They're gonna be like, wait, I own that corporation.

661
00:35:23,520 --> 00:35:26,960
Speaker 1: I want them to do better. That changes their whole worldview.

662
00:35:27,160 --> 00:35:28,719
Speaker 1: It makes them capitalists. You know it.

663
00:35:29,120 --> 00:35:32,040
Speaker 4: Even during one of the big crises of capitalism in

664
00:35:32,080 --> 00:35:35,880
Speaker 4: the early twentieth century, where you had real excesses of

665
00:35:35,920 --> 00:35:38,480
Speaker 4: industrialization that created you know, like child labor and all

666
00:35:38,480 --> 00:35:42,760
Speaker 4: this stuff, there was this movement among serious Christian thinkers

667
00:35:43,040 --> 00:35:47,000
Speaker 4: to try to resolve these tensions between capitalism and the

668
00:35:47,080 --> 00:35:49,719
Speaker 4: working poor, and there were all these Chesterton had a

669
00:35:49,800 --> 00:35:53,479
Speaker 4: version with Bellock distributism. But the whole point, and there's

670
00:35:53,680 --> 00:35:56,520
Speaker 4: didn't really work. But the whole point was you need

671
00:35:56,560 --> 00:36:01,320
Speaker 4: people to really have a steak in the society in

672
00:36:02,160 --> 00:36:05,000
Speaker 4: following subsidiarity. And you know, all these principles that are

673
00:36:05,000 --> 00:36:08,960
Speaker 4: so enshrined in the American system too, and this really

674
00:36:09,000 --> 00:36:10,719
Speaker 4: does that where you think, oh, I have a steak

675
00:36:10,840 --> 00:36:11,759
Speaker 4: in the corporations.

676
00:36:11,920 --> 00:36:13,800
Speaker 3: I have a steak. By the way, I.

677
00:36:13,680 --> 00:36:17,480
Speaker 1: Miss geeky, cerebral academic stuff on the pod. I will

678
00:36:17,520 --> 00:36:21,239
Speaker 1: say the sort of tenor of verdict has shifted. I

679
00:36:21,280 --> 00:36:23,879
Speaker 1: don't know why. I can't imagine the cause, but I'm

680
00:36:23,920 --> 00:36:28,080
Speaker 1: just saying, you know, I'm having a loft of nostalgia.

681
00:36:28,200 --> 00:36:30,160
Speaker 3: There's a little more Chesterton comes it.

682
00:36:30,239 --> 00:36:33,400
Speaker 2: Yes, all the people that just tells the wakes back up.

683
00:36:33,440 --> 00:36:37,480
Speaker 2: I got you back, keep going, wake up. Our audience

684
00:36:38,200 --> 00:36:40,279
Speaker 2: level just went like this, but we're back now. They're

685
00:36:40,320 --> 00:36:41,879
Speaker 2: all awake again. Make your final point.

686
00:36:41,960 --> 00:36:42,640
Speaker 1: Go ahead.

687
00:36:44,440 --> 00:36:47,799
Speaker 4: This this key is really important, because this is what

688
00:36:47,920 --> 00:36:51,000
Speaker 4: really jazzed me about it. I don't like it when

689
00:36:51,040 --> 00:36:53,239
Speaker 4: the right fractures into a million directions, because you know,

690
00:36:53,680 --> 00:36:57,239
Speaker 4: I feel for Speaker Johnson. He has the worst job

691
00:36:57,280 --> 00:36:59,200
Speaker 4: in all of politics. Yes, he has to hurt a

692
00:36:59,239 --> 00:37:01,640
Speaker 4: bunch of cats. They all have all sorts of views,

693
00:37:01,640 --> 00:37:03,880
Speaker 4: they have all sorts of principles, some of which conflict

694
00:37:03,920 --> 00:37:05,480
Speaker 4: with each other, and so it's hard to get the

695
00:37:05,560 --> 00:37:07,080
Speaker 4: right to do anything together.

696
00:37:07,440 --> 00:37:11,799
Speaker 1: And he is a good and decent Man's amazing.

697
00:37:11,920 --> 00:37:13,080
Speaker 3: Yeah, he's one.

698
00:37:13,360 --> 00:37:15,080
Speaker 4: He's a wonderful guy, and he's doing a great He

699
00:37:15,160 --> 00:37:17,200
Speaker 4: happens to also be doing a great job. But I

700
00:37:17,280 --> 00:37:20,000
Speaker 4: just think what the President was speaking on, especially these

701
00:37:20,080 --> 00:37:22,360
Speaker 4: kinds of issues. These are the kind of things that

702
00:37:22,400 --> 00:37:27,120
Speaker 4: can actually rally the way together with moderate voters, frankly

703
00:37:27,239 --> 00:37:28,040
Speaker 4: even central right.

704
00:37:28,120 --> 00:37:29,520
Speaker 3: So who don't want the crazy.

705
00:37:29,360 --> 00:37:31,920
Speaker 2: Final question for each of you quickly, as we are

706
00:37:32,000 --> 00:37:34,960
Speaker 2: hitting about an hour here in our say the union

707
00:37:35,000 --> 00:37:39,760
Speaker 2: coverage over under on the midterms. Now, how much better

708
00:37:39,760 --> 00:37:41,920
Speaker 2: do you feel going at leaving the end of the

709
00:37:42,040 --> 00:37:44,400
Speaker 2: night compared to going into the beginning of the speech tonight.

710
00:37:44,840 --> 00:37:47,719
Speaker 2: How much more optimistic are we can hold the house.

711
00:37:48,160 --> 00:37:50,759
Speaker 4: Hold the House. It's going to be very hard in

712
00:37:50,800 --> 00:37:53,879
Speaker 4: my view to hold the House. I would say, look,

713
00:37:53,920 --> 00:37:56,400
Speaker 4: I feel I'll just pick a number. I feel twenty

714
00:37:56,440 --> 00:38:01,200
Speaker 4: percent better. If the Republicans can stay on message, if

715
00:38:01,200 --> 00:38:04,440
Speaker 4: the Republicans cannot devolve into petty in fighting, if the

716
00:38:04,480 --> 00:38:09,280
Speaker 4: Republicans can be disciplined in the way they campaign.

717
00:38:09,440 --> 00:38:12,320
Speaker 3: These are all, you know. If wishes were horses, beggars

718
00:38:12,360 --> 00:38:12,960
Speaker 3: would ride.

719
00:38:13,480 --> 00:38:18,000
Speaker 4: I still think historic headwins best of circumstances. The party

720
00:38:18,080 --> 00:38:20,440
Speaker 4: and power, especially with unified government, loses the House in

721
00:38:20,440 --> 00:38:21,080
Speaker 4: the midterms.

722
00:38:21,320 --> 00:38:24,160
Speaker 3: However, I think that the President did every.

723
00:38:24,239 --> 00:38:28,600
Speaker 4: Single thing possible to put the party in an advantage

724
00:38:28,600 --> 00:38:29,520
Speaker 4: heading into the center.

725
00:38:31,160 --> 00:38:37,719
Speaker 1: And look my view right now, the political environment is rough. Yes,

726
00:38:38,400 --> 00:38:41,759
Speaker 1: if the election were today, it would not be a

727
00:38:41,800 --> 00:38:46,400
Speaker 1: great outcome. We are nationally in about a D plus

728
00:38:46,440 --> 00:38:50,400
Speaker 1: six environment. What that means it is where polling is

729
00:38:50,520 --> 00:38:53,239
Speaker 1: nationally is about six points more Democrat than it was

730
00:38:53,280 --> 00:38:55,759
Speaker 1: an election day in twenty twenty four. If we're in

731
00:38:55,800 --> 00:38:59,520
Speaker 1: a D plus six environment, we lose the House, and

732
00:38:59,640 --> 00:39:04,280
Speaker 1: then it is potentially in jeopardy. Crazy if the election

733
00:39:04,400 --> 00:39:07,040
Speaker 1: were today, that would be a real possibility. The good

734
00:39:07,040 --> 00:39:10,960
Speaker 1: news is we got eight months and the substantive record

735
00:39:11,040 --> 00:39:13,719
Speaker 1: is phenomenally good. It's not just a little bit good,

736
00:39:14,480 --> 00:39:18,840
Speaker 1: it is insanely good. And so tonight was encouraging because

737
00:39:18,840 --> 00:39:23,520
Speaker 1: Trump focused most of his time on laying out methodically

738
00:39:23,640 --> 00:39:27,200
Speaker 1: that substantive record and just how good it is and

739
00:39:27,400 --> 00:39:29,680
Speaker 1: what we have to do. I mean, I do like

740
00:39:29,760 --> 00:39:33,200
Speaker 1: that we have eight months. Most Americans don't know all

741
00:39:33,239 --> 00:39:36,400
Speaker 1: these victories we're winning exactly, and so our task is

742
00:39:36,480 --> 00:39:40,640
Speaker 1: communicate the victories that are making a real difference in

743
00:39:40,680 --> 00:39:43,600
Speaker 1: people's lives. But the good news is we have a

744
00:39:43,840 --> 00:39:46,680
Speaker 1: monster amount of substance to talk about. We just need

745
00:39:46,719 --> 00:39:49,480
Speaker 1: to talk about it. And I think if we make

746
00:39:49,520 --> 00:39:53,799
Speaker 1: that case, we could certainly keep the House and the

747
00:39:53,840 --> 00:39:55,439
Speaker 1: Senate and grow our majorities in bode.

748
00:39:55,480 --> 00:39:56,920
Speaker 3: There you go, don't forget.

749
00:39:57,000 --> 00:39:59,080
Speaker 2: Share this podcast wherever you can with your family and

750
00:39:59,120 --> 00:40:01,000
Speaker 2: your friends, and see you back here tomorrow