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Speaker 1: I'm asking you to approve the Save America Act.

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Speaker 2: We stopped my legal aliens on.

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Speaker 3: Others, we're unpermitted persons from voting in our sacred American elections.

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Speaker 2: The cheating is rampant in our elections.

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Speaker 3: This rappant.

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Speaker 4: You're listening to the forty seven Morning Update with Ben ferguson.

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Speaker 2: Good Wednesday morning. It's so nice to have you on

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Speaker 2: the day after the Stay of the Union. On the

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Speaker 2: forty seven Morning Update, and we've got obviously one big story.

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Speaker 2: The Democrats were chanting kkk from the four of the House,

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Speaker 2: while Republicans and the rest of us were chanting ussay.

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Speaker 2: This is how radical the left has become. So what

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Speaker 2: did the President say about our future this year? Moving forward?

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Speaker 2: We've got it all for you. Israel is a very

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Speaker 2: hot topic right now there with so many opinions and

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Speaker 2: emotions surrounding it, it can feel hard to know where

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Speaker 2: to start. The Bible tells us I will bless those

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Speaker 2: who bless you. That isn't just a comforting promise, It's

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Speaker 2: a clear calling from God, and today, with anti Semitism

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Speaker 2: rising around the world, that calling is more urgent than ever.

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Speaker 2: At a time when Jewish communities are experiencing more hostility,

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Speaker 2: more threats, and more violence than ever. Christians have a

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Speaker 2: powerful opportunity to respond with God's love to say you

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Speaker 2: are not alone. When Christians choose to bless Israel, we're

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Speaker 2: not entering a political issue. We're honoring the root of

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Speaker 2: our faith and standing against hatred. Supporting Israel is more

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Speaker 2: than a belief, it's a biblical mandate. And by partnering

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Speaker 2: with the International Fellowship of Christians and Jews, you can

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Speaker 2: push back against darkness and be a light to God's people.

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Speaker 2: Learn how you can bless Israel and be blessed in return.

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Speaker 2: Visit IFCJ dot org today. That's IFCJ dot org today,

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Speaker 2: Be a blessing live in the world. Answer the call.

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Speaker 2: It's the forty seven more date and it starts.

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Speaker 4: Right now, story number one.

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Speaker 2: It is one am in the morning Eastern time, after

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

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

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

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

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Speaker 2: 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, and so when you decided

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

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

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

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

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

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

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

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Speaker 5: Yeah, he banished Ben.

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Speaker 1: I saw it, not just the seat, but I saw

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Speaker 1: this cigar, and I said, this is pretty good. And

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Speaker 1: this has actually become something of a tradition.

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Speaker 5: I've noticed it. I've only ever been to two states.

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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, have

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Speaker 2: to say the Union and do the show here. Great idea,

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Speaker 2: I'll change my flight. That is how normal people would

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Speaker 2: have done this. 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 5: 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 1: This also really it's kind of a double verdict tradition

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Speaker 1: in that two years ago, Yes, I came to my

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Speaker 1: first State of the Union address. It was Biden State

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Speaker 1: of the Union, the one where they injected him with

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Speaker 1: whatever they injected him with, and he yelled for ninety

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Speaker 1: two minutes.

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Speaker 2: Yeah.

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Speaker 1: And then afterward, actually before I'd set it up, I said, hey, Senator,

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Speaker 1: I happened to be in town.

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Speaker 5: Hate to pressure you for a cigar. Same thing.

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Speaker 1: He said, Well, Okay, we can have a cigar, but

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Speaker 1: you got to do the podcast first.

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Speaker 5: I said, okay, well that that'll be a lot of fun.

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Speaker 1: And so of course it's you know, midnight, one o'clock

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Speaker 1: in the morning. And this really takes us back because

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Speaker 1: when Verdicts started, it was always one o'clock in the morning,

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Speaker 1: and it was actually not all that far from here

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Speaker 1: in Washington, d C.

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Speaker 5: Though I noticed the 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 send her, you know, Anna well, and I

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Speaker 2: was like, what are the chances, for the sake of

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

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Speaker 2: 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. And I was like, okay, I got it.

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Speaker 2: I know how this is.

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Speaker 3: So Ben, you are thoroughly domesticated. Yes, and it doesn't

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Speaker 3: pune your manhood. Yes, but and I'm now 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 in an apartment in DC, and I would

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

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Speaker 3: smoke cigars and we do it at my dining room table,

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Speaker 3: and my buddies that would come over and play, they'd

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Speaker 3: be like, dude, how does Heidi let you smoke cigars inside?

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Speaker 3: And I was in my twenties and stupid, so I'm like, look,

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Speaker 3: if you're the man of the house and you want

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Speaker 3: to smoke a cigar, you smoke a cigar in your

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Speaker 3: damn house, right, And I said it with all the

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Speaker 3: bravado of a young idiot. Yeah.

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Speaker 2: Meanwhile, he didn't own set house, it was an apartment,

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Speaker 2: but keeps guard like this story.

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Speaker 5: Yeah.

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Speaker 3: So then we get married. We actually get married twenty

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Speaker 3: 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 5: 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 and I say, that's another way

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Speaker 3: of saying, you're actually married, aren't we all?

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Speaker 5: Aren't we all? Tod in a way?

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Speaker 3: So all right, So, Ben, Ben, what'd you think of

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Speaker 3: 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 even.

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Speaker 3: See and say you guys are crazy.

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Speaker 2: Yeah, you guys are crazy.

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Speaker 1: Line, And it came across the third most incredible line.

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Speaker 1: I mean there were a lot of them.

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Speaker 2: Yeah, but but it came stood TV in an amazing way,

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Speaker 2: did it? Yeah? Oh, I mean it was just his look,

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Speaker 2: his demeanor, he was looking over at them. I mean,

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

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Speaker 2: to you. But like I'm watching, I'm going that line

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Speaker 2: landed and I think the American people probably saw it

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Speaker 2: and they're like, Wow, this is going to be really good.

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Speaker 5: So I'm sitting there.

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Speaker 1: It was very kind of Speaker Johnson to invite me,

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Speaker 1: and I'm sitting over the Democrats, so I got a

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Speaker 1: prime view of the Democrats. And the first line that

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Speaker 1: really brought down the House was when President Trump looked

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Speaker 1: over and it was beautifully written.

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Speaker 5: And beautifully executed. He looked over.

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Speaker 1: He said, Okay, I want everyone to stand up if

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Speaker 1: you agree with the statement that America should protect Americans

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Speaker 1: or something to that effect and.

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Speaker 5: Over illegals.

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Speaker 1: Yes, and they refuse to stand political malpractice, the likes

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Speaker 1: of which one has rarely seen. And it was a

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Speaker 1: brutal moment. He totally took advantage.

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Speaker 3: Then, so that moment will be played in a million campaigns.

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Speaker 5: Yes.

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Speaker 3: Yes, And by the way, it was the longest sustained

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

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Speaker 3: and he just looked over. He stepped away from with

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Speaker 3: amazement watching them, and the ad rights itself. They're for

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

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Speaker 3: do 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 5: It was shocking.

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Speaker 1: So then he doubles down on I'm skipping around a

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Speaker 1: little bit in time, because it escalated.

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Speaker 2: Well by the way, he noticed a trend. He noticed,

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Speaker 2: this is going to be the trend of my speech,

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Speaker 2: 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. That's how it

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Speaker 2: came across on TV.

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Speaker 1: Well, he landed it on the transgender ideology. Yes, kid

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Speaker 1: who had been transd and had destroyed his family, and

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Speaker 1: then the kid finally ended up in the right place,

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Speaker 1: and the he said, isn't that wonderful? The family's reunited

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Speaker 1: and everyone's flourishing, and the Dems wouldn't stand and that

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Speaker 1: was when he dealt the blow. He said, these people

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Speaker 1: are crazy and that that too lit it up now

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Speaker 1: where it got a little dark, But it was the

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Speaker 1: same strategy. It was the same tactic, I suppose is

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Speaker 1: when he started bringing up violence, and he obviously turns

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Speaker 1: to Erica Kirk, this national hero, this perhaps the most

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Speaker 1: sympathetic figure in the entire country, certainly up there, and

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Speaker 1: the Democrats didn't want to stand for Charlie. They didn't

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Speaker 1: want to stand for Erica. Again, that itself is disgraceful.

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Speaker 5: But he even gave them an out.

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Speaker 1: He said, We're a country where we say in God

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Speaker 1: we trust, and we reject political violence of all kinds.

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Speaker 5: And I was looking over some Democrats stood for that.

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

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Speaker 1: I looked and it was probably sixty seventy percent think

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Speaker 1: about that, but a.

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Speaker 3: Third did not.

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Speaker 1: A third did not, third would not stand for we

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Speaker 1: reject political violence of all kinds. It was I felt

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Speaker 1: a disaster of optics for Democrats and disaster.

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Speaker 3: Of morals well, and on the we don't stand for

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Speaker 3: political violence. The reason two thirds stood is Schumer stood.

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Speaker 3: By the way, have you ever noticed how much Chuck

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Speaker 3: Schumer looks like the villain and the Smurfs? What's what's

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Speaker 3: the name? I don't remember the name of the villain,

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Speaker 3: Like the curved over like like you know, he's hunched.

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Speaker 3: He has kind of a hunchback.

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Speaker 5: Maybe Penguin from Batman was what I got.

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Speaker 3: Yeah, yeah, but he sort of No.

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Speaker 2: I couldn't agree with you more. By the way, you

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Speaker 2: guys are in there, so you may not know this,

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Speaker 2: so I may break news to you. Did you, guys,

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Speaker 2: see what Rashid Tillie was chanting? Wow, everyone was chanting USA, USA.

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Speaker 2: At one of the points in the speech, she was

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Speaker 2: chanting kkk kkk kkk.

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

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Speaker 2: You guys, I don't know if you can see, but

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Speaker 2: let's be our good friend, Steve Guess put it out there.

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

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Speaker 2: else 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 clan, 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 5: Jim Crow.

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Speaker 3: Laws were founded by Democrats. Segregation was enforced by Democrats.

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Speaker 3: They have been the party of racial bigotry the entire history.

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Speaker 3: And by the way, our party, I mean, we often

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

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

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

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Speaker 3: did the first Republican president is who signed the Amounds

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Speaker 3: of Asian Proclamation, well.

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Speaker 1: You know on racial animus and Rashida Talib did you see.

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Speaker 1: I don't know if you caught this, but when President

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Speaker 1: Trump said, what a wonderful thing. We released all the hostages.

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Speaker 1: We got the ostage released, both dead and alive. We

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Speaker 1: returned even their remains, and most people stood up. I looked,

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Speaker 1: Ilhan Omar and Rashida Talib were sitting down.

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Speaker 5: Yep. Yeah.

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Speaker 1: And by the way, I mean 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 genocide. 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 3: You're that broke, and 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 matter, and then you had the

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

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Speaker 3: Sorry, I'm gonna have to disagree with you. I don't

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Speaker 3: even know who they were, but there are four who

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Speaker 3: 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: official statement, but they literally had hey, depending on how

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

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

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Speaker 2: like a normal Democrat, here's your all of your responses

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Speaker 2: for you, and we'll 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 Handy 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.

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Speaker 2: Yeah.

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Speaker 3: And I'm turned to Handy and I said, Sean, I

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Speaker 3: haven't led nearly a wicked enough life to deserve to

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Speaker 3: listen to this. As I just turned the volume off,

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Speaker 3: I'm like, I can't. There's just a limit to how

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Speaker 3: much pain I can endure.

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Speaker 1: But you know what's very telling about Spanberger is you

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Speaker 1: had Andy Basheer come out, who is a serious presidential candidate,

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Speaker 1: Kentucky governor. Yeah, and he said span Berger is the

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Speaker 1: model for Democrats in the midterms, which means translation will

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Speaker 1: run They will run as moderance it means.

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Speaker 2: Live, don't lie.

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Speaker 1: He'll run as moderates and they will immediately enact them

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Speaker 1: as radical leftist agenda.

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Speaker 5: You could maybe imagine.

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Speaker 2: I love by the way. I know you're a man

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Speaker 2: of the people and you do all of your own

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Speaker 2: yard work, but if you if you lived in Virginia crazy.

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Speaker 3: Wearing French cuffs, that.

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

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Speaker 2: to be the one where the big cloud of smoke

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Speaker 2: that just went up in the air, that would be

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Speaker 2: that guy's cufflings. Yeah, that's the one there, so there there.

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

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Speaker 5: I'm going more.

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Speaker 3: Populous as I age, and I wish Michael had to

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Speaker 3: sign it before we knew it those were. But I'm

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Speaker 3: also impressed because Ben at old miss never wore pants,

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Speaker 3: So so we're kind of reaching a kind of middleman

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Speaker 3: down actually.

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Speaker 2: A man of the people, a man of product Gucci.

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Speaker 2: It just it is. It is what it is. No,

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Speaker 2: but like in Virginia, they've gone so crazy, they're they're

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

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Speaker 2: 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 2: 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 my multiple IDs, you need

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

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Speaker 3: I think humor is a really powerful way to drive

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Speaker 3: this point. And I think that and also the fact

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Speaker 3: that John ossoff to get to his rally against photo,

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Speaker 3: I D.

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Speaker 5: For voting.

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Speaker 3: You had to show an.

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Speaker 2: Idea, you had to photo, you had to show vote

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Speaker 2: I D. Yeah, this kick was.

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Speaker 1: The key, I mean, really the reason that the State

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Speaker 1: of the Union succeeded. And I agree it was one

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Speaker 1: of Trump's best speeches. The Warsaw speech in the first

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Speaker 1: term was also an excellent speech, but this was up there,

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Speaker 1: and I think the reason it succeeded was the President

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Speaker 1: had to reassure voters who voted for him on mass

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Speaker 1: you know, he won the popular vote. He had to

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Speaker 1: reassure them that we are still the party of normal,

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Speaker 1: of safety, of flourishing, of sanity, of sanity, where I

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Speaker 1: think some voters you have this question after the Minneapolis

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Speaker 1: immigration endorsement, why is it that voters still support mass

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Speaker 1: deportations but oppose ice supporting people.

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Speaker 5: You know, that's kind of a contradiction.

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Speaker 1: Why is it that the fundamentals of the economy are

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Speaker 1: looking pretty good? You know record I sed, stock market

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Speaker 1: pretty good, inflation, pretty good, job numbers, pretty good GDP

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Speaker 1: could have been better if not for the government shutdown

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Speaker 1: that the Dems gave us. Why is it that they're

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Speaker 1: a little the voters are worried about the economy, but

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Speaker 1: the economy seems to be doing well. It's this fear

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Speaker 1: that we're in a precarious moment. And so I think

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Speaker 1: both sides went into this saying we want to be

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Speaker 1: the party of stability, of security, of normal flourishing. That's

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Speaker 1: why Hakim Jeffries told the Democrats, hey, be cool, and

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Speaker 1: if you can't be cool, don't show up.

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Speaker 5: You know.

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Speaker 3: I think Soyle Green got shot thrown out.

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Speaker 5: 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 so.

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Speaker 3: And his signs said blacks aren't apes. Yeah, And I turned.

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Speaker 3: I was sitting next to Todd Young, and I said, wow,

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Speaker 3: is ol Green protesting Gavin Newsom.

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Speaker 5: Yeah, yeah, look like it.

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

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Speaker 3: made in the laboratory. An idiot, he sayscis open racist.

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Speaker 2: Yeah, he says racist.

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Speaker 3: He 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 am.

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Speaker 5: Too unbelievable and I can't for what.

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Speaker 3: I got a nine to sixty on the SAT which,

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Speaker 3: by the way, Michael got a nine sixty on the

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Speaker 3: verbal portion of his set. And yes, I know it's

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Speaker 3: only eight hundred.

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Speaker 2: But but but still, yes, I love that you just

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Speaker 2: had to geek out and show the geeks that you

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Speaker 2: know the max is an eight hundred.

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Speaker 5: There.

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Speaker 2: To be clear, I can't remember I took the damn thing,

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Speaker 2: and I can't.

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Speaker 3: Remember what anyone doubt I was a geek.

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Speaker 2: Yeah, that's I just we have to remind you though,

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Speaker 2: 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 5: No, listen the admission rate for Princeton. I think.

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Speaker 2: Let's let's be clear, both of you know your scores, right,

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Speaker 2: by heart. What you made? What were you? Michael, don't lie?

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Speaker 5: 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 2: I want to know. I want to know what it was.

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Speaker 5: Do you want to know the irony? I'll tell you

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Speaker 5: the irony of my essay.

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Speaker 2: Oh I can't this is this is him delaying the brilliance.

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Speaker 2: Keep going.

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Speaker 5: I did. I did get on the math in the

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Speaker 5: verbal I got a perfect score.

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Speaker 2: That's what I was.

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Speaker 5: However, you don't want to know the irony.

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Speaker 1: There was at that time the writing component. There was

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Speaker 1: a writing thing that they added. It was kind of

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Speaker 1: optional or experimental. And the funny thing is I did

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Speaker 1: not get a perfect score. I actually don't remember the

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Speaker 1: exact it was less. It was the six eighty or something.

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Speaker 1: But the funny thing is that's the thing I went

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Speaker 1: into and my most famous book has no words in it.

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Speaker 1: So it ended up it ended up working out just fine. Uh, Newsome,

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Speaker 1: I am going to decline to answer on the advice accounts,

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Speaker 1: oh wow, because I am an elected politics and running

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Speaker 1: around like squawking about your essay T score?

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

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Speaker 2: just want to know what can really.

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Speaker 3: I did not any of that.

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Speaker 1: I did not and I did well on the test,

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Speaker 1: But I am I'm just telling you.

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Speaker 3: I may not know much about politics, but I am

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Speaker 3: quite certain it is dumb as hell. Say this was

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Speaker 3: my ESSAYT 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 furious when it came to mail.

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Speaker 2: She's like, you're taking it again. She was so mad.

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

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Speaker 2: it was like, you know, like the calculator you took

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Speaker 2: with you. And I was like, I forgot it that

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Speaker 2: my mom's an educator. She was like, you're taking it.

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Speaker 2: I was like, no, I'm not. I'm above the minimum

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Speaker 2: for NCAA requirements. That's all I care about. And that

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Speaker 2: way I took it once.

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Speaker 3: All right, So I'm going to tell you SATL SAT story.

436
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Speaker 3: So when I show up at college. My first job

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Speaker 3: I worked at Princeton Media Services, videotaping things and like

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Speaker 3: like a run and operate a video camera and like

439
00:21:58,280 --> 00:22:01,200
Speaker 3: videotape all sorts of different programs. And that paid either

440
00:22:01,240 --> 00:22:04,280
Speaker 3: seven or eight bucks an hour. And then I got

441
00:22:04,359 --> 00:22:07,040
Speaker 3: hired by the Prince to review to teach the SAT,

442
00:22:07,920 --> 00:22:09,840
Speaker 3: which was a much better job because it paid fifteen

443
00:22:09,880 --> 00:22:13,080
Speaker 3: bucks an hour. And so I'm like, hot, diggity damn,

444
00:22:13,080 --> 00:22:15,320
Speaker 3: I could do that math, and fifteen is better than seven.

445
00:22:16,440 --> 00:22:18,640
Speaker 3: So so for like a year or two I taught

446
00:22:18,680 --> 00:22:22,160
Speaker 3: the SAT. I guess a year and then I'm like, wait,

447
00:22:22,800 --> 00:22:26,359
Speaker 3: there's no margin in teaching the SAT. I've already taken it.

448
00:22:26,400 --> 00:22:28,120
Speaker 3: And I knew I wanted to go to law school.

449
00:22:28,320 --> 00:22:30,600
Speaker 3: So I went to the course and said, hey, can

450
00:22:30,640 --> 00:22:34,639
Speaker 3: I teach the l SAT? And so they paid me

451
00:22:35,600 --> 00:22:38,720
Speaker 3: to train me to teach the l SAT, which was

452
00:22:38,840 --> 00:22:41,040
Speaker 3: useful because I had to in fact teach the l SAT.

453
00:22:41,200 --> 00:22:42,960
Speaker 3: So when I was a sophomore in college, I was

454
00:22:42,960 --> 00:22:45,639
Speaker 3: teaching the l SAT and the students would say, well,

455
00:22:45,640 --> 00:22:46,040
Speaker 3: what score.

456
00:22:46,040 --> 00:22:48,480
Speaker 2: Did you take a day yere right now?

457
00:22:49,800 --> 00:22:49,960
Speaker 5: Well?

458
00:22:50,000 --> 00:22:52,639
Speaker 3: No, no, it was. There were real classes. But the

459
00:22:53,160 --> 00:22:55,840
Speaker 3: hysterical story is, so I taught the l SAT for

460
00:22:55,880 --> 00:23:00,280
Speaker 3: a year and then so junior year where tooking the

461
00:23:00,400 --> 00:23:02,720
Speaker 3: l set. And you guys both know my college roommatee.

462
00:23:02,720 --> 00:23:04,880
Speaker 3: It was my law school roommate. And other than Heidi,

463
00:23:04,960 --> 00:23:08,080
Speaker 3: my best friend of the world. David Panton, Yeah, Jamaican,

464
00:23:09,560 --> 00:23:14,960
Speaker 3: incredibly talented, became Barack Obama, was the first black president

465
00:23:14,960 --> 00:23:17,360
Speaker 3: of the Harvard Law Review. David was the second black

466
00:23:17,400 --> 00:23:19,920
Speaker 3: president the Harvard Larview. So, but when David and I

467
00:23:19,960 --> 00:23:22,920
Speaker 3: are in college, we're both taking the l set. The

468
00:23:23,040 --> 00:23:27,000
Speaker 3: night before the l set, David and I like complete morons.

469
00:23:27,000 --> 00:23:29,240
Speaker 3: Did I mention that we were like nineteen or twenty?

470
00:23:29,240 --> 00:23:32,840
Speaker 3: I guess twenty. We stayed up all night playing Nintendo.

471
00:23:33,760 --> 00:23:36,440
Speaker 3: We literally did not sleep. We pulled an all nighter

472
00:23:36,520 --> 00:23:38,359
Speaker 3: playing Mario Brothers on Nintendo.

473
00:23:39,680 --> 00:23:42,440
Speaker 2: The Stelle check out by the way, Ok.

474
00:23:42,680 --> 00:23:46,320
Speaker 3: The l Set was in Newark. So I had my

475
00:23:46,359 --> 00:23:50,080
Speaker 3: first car, was a green seventy eight Ford Fairmont. So

476
00:23:50,200 --> 00:23:53,600
Speaker 3: I drove us to Newark. We take the l Set.

477
00:23:53,600 --> 00:23:55,679
Speaker 3: It was at eight am, so we leave at like

478
00:23:55,720 --> 00:23:58,160
Speaker 3: six six point thirty go sit for the test. It's

479
00:23:58,200 --> 00:24:01,159
Speaker 3: like four hours or so. So we're coming back to

480
00:24:01,280 --> 00:24:04,920
Speaker 3: college at like one in the afternoon and we're driving

481
00:24:05,040 --> 00:24:06,520
Speaker 3: back and I said, so, David, how did it go?

482
00:24:07,880 --> 00:24:10,639
Speaker 3: And he said, well, during one of the sections, I

483
00:24:10,720 --> 00:24:15,720
Speaker 3: put my head down and fell asleep, and he said,

484
00:24:15,760 --> 00:24:18,439
Speaker 3: I woke up with two minutes left and I just

485
00:24:18,480 --> 00:24:21,480
Speaker 3: filled out B for every question. And he turns to

486
00:24:21,480 --> 00:24:23,040
Speaker 3: me and says, do you think B is the right answer?

487
00:24:24,200 --> 00:24:26,960
Speaker 3: And so it turns out you can cancel your LSAT

488
00:24:27,000 --> 00:24:30,000
Speaker 3: score on the spot if you want to see what up?

489
00:24:30,040 --> 00:24:32,719
Speaker 3: And just canceled a score. So the poor guy had

490
00:24:32,720 --> 00:24:34,159
Speaker 3: to take it again, and then he did. He did

491
00:24:34,240 --> 00:24:36,320
Speaker 3: well the second time he took it, but he literally

492
00:24:36,640 --> 00:24:40,520
Speaker 3: I laughed so hard I almost crashed the car. But

493
00:24:40,520 --> 00:24:42,760
Speaker 3: but I ended up keeping him up all night and

494
00:24:42,800 --> 00:24:44,120
Speaker 3: making him fall asleep during the ELK.

495
00:24:44,240 --> 00:24:47,119
Speaker 1: What if all the answers were be he might have

496
00:24:47,160 --> 00:24:51,160
Speaker 1: missed out on the perfect score perfect score. The Newsome

497
00:24:51,200 --> 00:24:53,600
Speaker 1: thing is is really frustrating because right now he is

498
00:24:53,640 --> 00:24:56,720
Speaker 1: the leading candidate for the Democrats, I think, without question,

499
00:24:56,960 --> 00:25:01,200
Speaker 1: and I'm at the Munich Security conference, was still the

500
00:25:01,280 --> 00:25:03,960
Speaker 1: leading candidate and On the one hand, he has these

501
00:25:03,960 --> 00:25:08,840
Speaker 1: social media posts where he's sitting there performatively reading Beloved

502
00:25:08,960 --> 00:25:11,760
Speaker 1: by Tony Morrison, performatively reading all these books that.

503
00:25:11,760 --> 00:25:14,919
Speaker 3: Are By the way, are you aware that Newsom let

504
00:25:15,000 --> 00:25:19,720
Speaker 3: himself on fire in a social media exchange about Verdict? No,

505
00:25:20,560 --> 00:25:23,479
Speaker 3: so so coming back from Munich, we did. We did

506
00:25:23,480 --> 00:25:27,520
Speaker 3: a whole show on Munich lighting up AOC and lighting

507
00:25:27,600 --> 00:25:32,879
Speaker 3: up Newsom and Newsom, and Munich said Donald Trump is

508
00:25:32,920 --> 00:25:35,480
Speaker 3: the first president in history to federalize the National Guard,

509
00:25:36,720 --> 00:25:41,320
Speaker 3: and so on Verdict. I said, Gavin Newsom is historically illiterate.

510
00:25:41,760 --> 00:25:47,400
Speaker 1: Yes, uh, actually you talked about it if your use

511
00:25:47,440 --> 00:25:52,360
Speaker 1: of the English language properly, and so I said that,

512
00:25:52,480 --> 00:25:59,760
Speaker 1: and then he tweeted out he said, calling someone who's

513
00:25:59,800 --> 00:26:04,879
Speaker 1: just illiterate is a new low, even for Cruise.

514
00:26:06,600 --> 00:26:10,040
Speaker 3: And mind you, who knew he was dyslexic. I didn't

515
00:26:10,040 --> 00:26:11,639
Speaker 3: know that until he sent out his tweet.

516
00:26:12,480 --> 00:26:15,159
Speaker 2: Yeah for a guy that then also claims in a

517
00:26:15,160 --> 00:26:17,200
Speaker 2: white podcast, so he can read a three hundred page

518
00:26:17,200 --> 00:26:19,600
Speaker 2: book in two hours. Don't forget that came out yes

519
00:26:19,640 --> 00:26:22,399
Speaker 2: as well, So so much for being majorly dyslexic.

520
00:26:22,520 --> 00:26:27,680
Speaker 3: Right, But then so we had we actually had twin responses,

521
00:26:28,520 --> 00:26:31,679
Speaker 3: so my staff came up with a response with a

522
00:26:31,720 --> 00:26:38,800
Speaker 3: gift from Zulander, and I wrote a response and said

523
00:26:39,359 --> 00:26:42,800
Speaker 3: something like I didn't say you couldn't read, you clown.

524
00:26:43,160 --> 00:26:47,240
Speaker 3: I said, you were historically illiterate, because you apparently have

525
00:26:47,359 --> 00:26:50,000
Speaker 3: no idea about the civil rights movement and the fact

526
00:26:50,040 --> 00:26:54,359
Speaker 3: that Eisenhower federalized the National Guard. And this is actually

527
00:26:54,440 --> 00:26:57,480
Speaker 3: a cool I think this is the first tweet I've

528
00:26:57,480 --> 00:27:03,000
Speaker 3: ever said that was partially written by AI. So I

529
00:27:03,080 --> 00:27:08,240
Speaker 3: went to Google and I just typed in Eisenhower federalizing

530
00:27:08,320 --> 00:27:13,320
Speaker 3: National Guard, and instantaneously several paragraphs pop up that are

531
00:27:13,320 --> 00:27:16,720
Speaker 3: beautifully researched, and so I cut and paste one of

532
00:27:16,760 --> 00:27:19,120
Speaker 3: them that said on date and I didn't know the date.

533
00:27:19,680 --> 00:27:22,840
Speaker 3: You know, Eisenhower signed executive order number and I didn't

534
00:27:22,840 --> 00:27:25,200
Speaker 3: know the executive order number. But it was like this

535
00:27:25,520 --> 00:27:29,280
Speaker 3: beautifully researched. So the second half of the tweet, I

536
00:27:29,359 --> 00:27:33,280
Speaker 3: actually wrote that tweet while playing hoops. So, as you

537
00:27:33,280 --> 00:27:34,920
Speaker 3: guys know, I played hoops twice a week, so it

538
00:27:34,960 --> 00:27:38,199
Speaker 3: was like in between games on my phone, I like

539
00:27:38,320 --> 00:27:40,560
Speaker 3: type the first half, put.

540
00:27:41,800 --> 00:27:43,600
Speaker 2: The last way wait time out, time out.

541
00:27:43,640 --> 00:27:43,960
Speaker 3: I got it.

542
00:27:44,560 --> 00:27:47,320
Speaker 2: You opened up something there you set in between games?

543
00:27:47,480 --> 00:27:48,840
Speaker 2: Were you the odd man out?

544
00:27:49,560 --> 00:27:49,720
Speaker 1: Yeah?

545
00:27:50,040 --> 00:27:50,240
Speaker 5: Did you?

546
00:27:50,480 --> 00:27:52,480
Speaker 2: I lost? I just wanted to get that on the

547
00:27:53,280 --> 00:27:54,959
Speaker 2: Did you hear what he said? Michael? Can you make

548
00:27:54,960 --> 00:27:57,200
Speaker 2: sure it's Mike's working? He just did? He say he lost?

549
00:27:57,240 --> 00:27:58,680
Speaker 2: It's going to be very clear.

550
00:27:58,480 --> 00:27:59,800
Speaker 5: But I think that was recorded.

551
00:28:00,320 --> 00:28:03,240
Speaker 2: Okay, got it? Okay? Yeah, yeah, I'm glad that we

552
00:28:03,320 --> 00:28:05,320
Speaker 2: got that. That was worth staying up plate for just that,

553
00:28:05,400 --> 00:28:07,359
Speaker 2: right there. Keep going with your story, sir, This is

554
00:28:07,359 --> 00:28:07,880
Speaker 2: getting good.

555
00:28:08,359 --> 00:28:11,439
Speaker 3: So but when I sent my tweet, my social media

556
00:28:11,480 --> 00:28:13,919
Speaker 3: team was all mad and they're like, wait, we like

557
00:28:13,960 --> 00:28:17,480
Speaker 3: our Zoolander tweet and I said no, no, no, put them

558
00:28:17,480 --> 00:28:21,720
Speaker 3: both out. Yeah, and let's have an experiment. Let's see

559
00:28:21,800 --> 00:28:25,200
Speaker 3: who wins. Who gets more like like, you've got mine

560
00:28:25,480 --> 00:28:30,719
Speaker 3: and you know you guys. And so it was close.

561
00:28:31,960 --> 00:28:34,439
Speaker 3: I only beat them by two hundred and fifty percent.

562
00:28:35,320 --> 00:28:37,440
Speaker 3: So they got I think four hundred thousand engagements and

563
00:28:37,480 --> 00:28:40,920
Speaker 3: I got one point one million. But I will confess

564
00:28:41,080 --> 00:28:46,120
Speaker 3: making an admission on this. Although they didn't get nearly

565
00:28:46,160 --> 00:28:50,360
Speaker 3: the reach. The comments on the Zoolander gift, the people

566
00:28:50,400 --> 00:28:53,240
Speaker 3: that saw it way better loved you. Yeah, I mean,

567
00:28:53,240 --> 00:28:55,400
Speaker 3: they're just like the best tweet in the history of

568
00:28:55,400 --> 00:28:58,120
Speaker 3: the Internet, like they were, so I think it was

569
00:28:58,160 --> 00:29:01,360
Speaker 3: a smaller niche audience. Yeah, but the ones it hit,

570
00:29:01,480 --> 00:29:02,040
Speaker 3: it really hit.

571
00:29:03,000 --> 00:29:04,800
Speaker 2: It's almost like as good as when you were the

572
00:29:04,880 --> 00:29:07,840
Speaker 2: Zodiac Killer. Maybe you still are, but you know, those

573
00:29:08,000 --> 00:29:09,160
Speaker 2: never make me not laugh.

574
00:29:09,640 --> 00:29:11,480
Speaker 3: What do you mean when I was the Zodiac Yeah,

575
00:29:11,600 --> 00:29:12,200
Speaker 3: exactly when did?

576
00:29:12,200 --> 00:29:16,520
Speaker 1: I haven't shaped the statute of limitations recently. Yeah, but

577
00:29:16,760 --> 00:29:18,480
Speaker 1: I think you're safe now.

578
00:29:18,520 --> 00:29:23,520
Speaker 3: So do you know that? In twenty sixteen, an actual

579
00:29:23,680 --> 00:29:27,440
Speaker 3: poll done in the state of Florida found thirty eight

580
00:29:27,560 --> 00:29:31,080
Speaker 3: percent of Floridians believe that I could be the Zodiac Killer.

581
00:29:32,080 --> 00:29:32,920
Speaker 2: I got to be clear.

582
00:29:33,560 --> 00:29:36,480
Speaker 3: The Zodiac Killer killed at least five people in northern

583
00:29:36,520 --> 00:29:39,760
Speaker 3: California in the late nineteen sixties. I was born in

584
00:29:39,800 --> 00:29:40,560
Speaker 3: nineteen seventy.

585
00:29:41,160 --> 00:29:41,480
Speaker 1: Yeah.

586
00:29:41,880 --> 00:29:43,800
Speaker 5: Yeah, and yet maybe.

587
00:29:43,760 --> 00:29:46,480
Speaker 3: Nearly half of Floridians believed I could be the Zodiac Killer.

588
00:29:46,600 --> 00:29:46,920
Speaker 5: Yeah.

589
00:29:47,040 --> 00:29:50,480
Speaker 2: Yeah, that's you could have lied about your age. You

590
00:29:50,520 --> 00:29:53,880
Speaker 2: could have lied about your age. This is how conspiracies begin.

591
00:29:54,680 --> 00:29:58,760
Speaker 3: I did have one one rally where this kid had

592
00:29:58,760 --> 00:30:01,280
Speaker 3: a sign. It's like twenty and he had a sign

593
00:30:01,360 --> 00:30:04,000
Speaker 3: that said, are you the Zodiac Killer? And I went

594
00:30:04,080 --> 00:30:05,680
Speaker 3: up to him. I put my hand on his shoulder.

595
00:30:05,680 --> 00:30:09,360
Speaker 3: I said, son, if I was the Zodiac Killer, would

596
00:30:09,440 --> 00:30:11,280
Speaker 3: you really want to be here with that sign right now?

597
00:30:11,360 --> 00:30:11,640
Speaker 4: Yeah?

598
00:30:11,720 --> 00:30:14,920
Speaker 1: You know this actually was the point, which is how

599
00:30:14,920 --> 00:30:17,080
Speaker 1: we got into news him the sign. I don't know

600
00:30:17,080 --> 00:30:19,240
Speaker 1: if you guys saw the memes that were going around.

601
00:30:19,600 --> 00:30:23,000
Speaker 1: So I lost a bet on this. I bet that

602
00:30:23,040 --> 00:30:26,440
Speaker 1: the Democrats would not have a member ejected from the speech.

603
00:30:26,640 --> 00:30:27,360
Speaker 5: I thought they might have.

604
00:30:29,240 --> 00:30:30,520
Speaker 2: Did you actually believe that?

605
00:30:30,560 --> 00:30:31,920
Speaker 5: Though I didn't think that.

606
00:30:32,040 --> 00:30:34,200
Speaker 1: I thought they would listen to hackem Jefferies and try

607
00:30:34,240 --> 00:30:36,360
Speaker 1: to chill. But they can't know Eygreen has no chill,

608
00:30:36,640 --> 00:30:37,400
Speaker 1: so he opens up.

609
00:30:37,440 --> 00:30:39,960
Speaker 3: By the way, there's a very real chance al Green

610
00:30:40,080 --> 00:30:42,040
Speaker 3: loses his Democrat primary a week from now.

611
00:30:42,640 --> 00:30:42,840
Speaker 5: Yeah.

612
00:30:43,000 --> 00:30:46,640
Speaker 3: Really, he's actually in jeopardy. And so I think the

613
00:30:46,720 --> 00:30:49,600
Speaker 3: antics were partially. Of course, he did his antics last year,

614
00:30:50,040 --> 00:30:54,440
Speaker 3: like waving his cane, which like to embody a grumpy

615
00:30:54,480 --> 00:30:57,880
Speaker 3: old man, like get off my lawn, you kids.

616
00:30:57,960 --> 00:30:58,800
Speaker 5: It's perfect.

617
00:30:58,960 --> 00:31:01,840
Speaker 1: But he made it made a real optical error, which

618
00:31:01,880 --> 00:31:04,080
Speaker 1: is he unfurled the sign, which from my angle in

619
00:31:04,120 --> 00:31:06,520
Speaker 1: the gallery I could not see, and so I said, wow,

620
00:31:06,560 --> 00:31:08,840
Speaker 1: what's he saying, and I guess the sign said black

621
00:31:08,880 --> 00:31:11,320
Speaker 1: people aren't apes, but the problem was the way he

622
00:31:11,480 --> 00:31:17,240
Speaker 1: was holding it. The one, the one that I saw,

623
00:31:17,360 --> 00:31:19,240
Speaker 1: and maybe one of those said that too. The one

624
00:31:19,240 --> 00:31:23,440
Speaker 1: I saw said black people rent apes, which was like

625
00:31:23,520 --> 00:31:26,160
Speaker 1: an unfortunate any way you slice it, these are very

626
00:31:26,280 --> 00:31:29,480
Speaker 1: unfortunate optics. And I thought, you know, the Democrat leader

627
00:31:29,520 --> 00:31:32,640
Speaker 1: in the House asked one thing. He said, hey, guys,

628
00:31:33,040 --> 00:31:38,239
Speaker 1: please don't look crazy during the speech. And as the

629
00:31:38,280 --> 00:31:42,800
Speaker 1: President is walking into the room, Al Green unfurls this sign,

630
00:31:42,880 --> 00:31:46,120
Speaker 1: and I thought, you have the discipline of a fruitfly,

631
00:31:46,440 --> 00:31:49,640
Speaker 1: Like there is no chance they didn't make it five minutes.

632
00:31:50,200 --> 00:31:52,000
Speaker 2: They're insane, all right. I have to ask you guys

633
00:31:52,120 --> 00:31:54,320
Speaker 2: being there, because one of the best lines of the

634
00:31:54,360 --> 00:31:57,440
Speaker 2: whole speech, and that was just one of those little

635
00:31:57,480 --> 00:31:59,760
Speaker 2: kind of tit for tatlines and it but it worked,

636
00:32:00,480 --> 00:32:03,760
Speaker 2: was when he was talking about insider trading and then

637
00:32:03,800 --> 00:32:08,320
Speaker 2: he said Nancy Pelosi's name, And it was amazing on

638
00:32:08,440 --> 00:32:11,640
Speaker 2: TV because if you didn't know the story, free one

639
00:32:11,760 --> 00:32:15,040
Speaker 2: you immediately went to every one of us was there, Yeah,

640
00:32:15,320 --> 00:32:17,760
Speaker 2: and I was too, But like if you didn't know,

641
00:32:18,440 --> 00:32:21,320
Speaker 2: and then you saw the reaction and you heard the

642
00:32:21,960 --> 00:32:24,040
Speaker 2: hissing bit whatever it was in the hall. I don't

643
00:32:24,080 --> 00:32:25,959
Speaker 2: know exactly what they were saying. It was like they

644
00:32:26,000 --> 00:32:28,600
Speaker 2: were like, you can't say her name like that. You

645
00:32:28,680 --> 00:32:32,360
Speaker 2: know that everybody went and googled insider trading Nancy Pelosi

646
00:32:32,840 --> 00:32:35,160
Speaker 2: and then they learned about the story. Like they literally

647
00:32:35,240 --> 00:32:38,280
Speaker 2: helped him sell the story. What was the reaction from

648
00:32:38,280 --> 00:32:40,920
Speaker 2: the were Democrats mad or what was the reaction.

649
00:32:41,800 --> 00:32:42,640
Speaker 5: You were on the floor.

650
00:32:42,720 --> 00:32:45,880
Speaker 3: Oh, look, they were mad constantly. So is there one

651
00:32:46,120 --> 00:32:48,400
Speaker 3: I will say though, there's a difference from this year

652
00:32:48,400 --> 00:32:51,280
Speaker 3: and last year. So last year they went through the

653
00:32:51,400 --> 00:32:55,440
Speaker 3: entire State of the Union and they didn't applaud. They

654
00:32:55,440 --> 00:32:59,360
Speaker 3: didn't applaud when Trump walked in. They didn't applaud for anything.

655
00:32:59,400 --> 00:33:02,440
Speaker 3: They just said free stone faced and heckled and waved

656
00:33:02,440 --> 00:33:06,880
Speaker 3: their cane in him. This year, before the State of

657
00:33:06,880 --> 00:33:09,920
Speaker 3: the Union, I actually went to several Democrats and asked them,

658
00:33:10,440 --> 00:33:13,840
Speaker 3: I said, okay, are you guys going to applaud for

659
00:33:13,960 --> 00:33:18,160
Speaker 3: the US hockey team, like come on? And they all

660
00:33:18,200 --> 00:33:21,719
Speaker 3: said yes. In fact, several of them had an expletive

661
00:33:21,760 --> 00:33:26,120
Speaker 3: They said fys. And I said, look, to be clear,

662
00:33:26,240 --> 00:33:28,760
Speaker 3: last year, you didn't applaud for a kid with cancer.

663
00:33:29,520 --> 00:33:32,440
Speaker 5: Yeah, that question. Okay.

664
00:33:32,560 --> 00:33:34,960
Speaker 3: One of the Democrats who I actually like, he's I'm

665
00:33:34,960 --> 00:33:36,480
Speaker 3: not going to identify it, but he's got a good

666
00:33:36,520 --> 00:33:38,760
Speaker 3: sense of humor. I said that to him and he said, yeah,

667
00:33:38,800 --> 00:33:42,479
Speaker 3: we hate kids with cancer, which was like, all right, Like,

668
00:33:42,560 --> 00:33:44,800
Speaker 3: don't argue, you just kind of vote it. And I'm like,

669
00:33:44,800 --> 00:33:46,920
Speaker 3: all right, well, well played like.

670
00:33:47,480 --> 00:33:48,440
Speaker 5: They did it again this year.

671
00:33:48,480 --> 00:33:51,720
Speaker 1: By the way, there was a little girl who couldn't walk,

672
00:33:51,920 --> 00:33:54,520
Speaker 1: and it was the same thing. A good chunk of

673
00:33:54,560 --> 00:33:57,840
Speaker 1: Democrats would say. They were trying to play the stoic card.

674
00:33:58,160 --> 00:34:00,840
Speaker 1: It did not read at least from my vantage. I

675
00:34:01,080 --> 00:34:04,000
Speaker 1: thought it looked really callous because there was no unity

676
00:34:04,040 --> 00:34:06,920
Speaker 1: within the party, so there was no clear messaging. You know,

677
00:34:07,120 --> 00:34:10,360
Speaker 1: look that it all seemed pretty disastrous. The question that

678
00:34:10,480 --> 00:34:13,680
Speaker 1: I have as a as a proper conservative who is

679
00:34:13,760 --> 00:34:16,760
Speaker 1: always looking for the downside of things just to temper

680
00:34:16,840 --> 00:34:22,239
Speaker 1: my you know, jubilation. Do you think I think universally

681
00:34:22,280 --> 00:34:25,880
Speaker 1: the speech was viewed as quite good, quite effective. Does

682
00:34:25,920 --> 00:34:28,640
Speaker 1: it make a meaningful difference in the midterms?

683
00:34:28,719 --> 00:34:30,000
Speaker 5: Look, I think it does.

684
00:34:31,640 --> 00:34:33,399
Speaker 3: Do you all right? Layout why I'll tell.

685
00:34:33,280 --> 00:34:41,560
Speaker 2: You why this speech was The things that irritate Republican

686
00:34:42,040 --> 00:34:47,200
Speaker 2: slash moderate voters about Trump, that it's all about him,

687
00:34:47,400 --> 00:34:49,200
Speaker 2: and he doesn't know when to you know that the

688
00:34:49,280 --> 00:34:51,960
Speaker 2: mean tweets and when to shut up, and and and

689
00:34:52,000 --> 00:34:55,880
Speaker 2: the things that irritate those that can stay home. Watching

690
00:34:55,960 --> 00:35:00,120
Speaker 2: his demeanor tonight, he came across in such a way

691
00:35:00,160 --> 00:35:03,680
Speaker 2: of like, these guys don't want this, These guys don't

692
00:35:03,680 --> 00:35:06,680
Speaker 2: put you first, These guys don't do this. He also

693
00:35:06,800 --> 00:35:10,879
Speaker 2: was giving incredible accolades and awards and the US hockey team.

694
00:35:10,920 --> 00:35:14,120
Speaker 2: There was momentum there. It was one after another. It

695
00:35:14,160 --> 00:35:16,239
Speaker 2: was a one hundred year old man, a veteran. It

696
00:35:16,360 --> 00:35:18,640
Speaker 2: was the guy who was flying the helicopter, the Chinook

697
00:35:18,880 --> 00:35:22,080
Speaker 2: and telling a story. He was praising what makes America

698
00:35:22,160 --> 00:35:26,360
Speaker 2: great and the people that make America great. I actually

699
00:35:26,480 --> 00:35:29,839
Speaker 2: think that if you are a moderate voter, someone maybe

700
00:35:29,840 --> 00:35:32,919
Speaker 2: a Republican that traditionally stays home during the mid terms,

701
00:35:33,640 --> 00:35:37,239
Speaker 2: I actually think that this speech landed with you more

702
00:35:37,280 --> 00:35:39,320
Speaker 2: than any other speech of Trump. The way it played

703
00:35:39,320 --> 00:35:42,919
Speaker 2: on TV. I think it also is going to land

704
00:35:43,040 --> 00:35:46,360
Speaker 2: on the economic issues of him reminding the no tax

705
00:35:46,400 --> 00:35:49,480
Speaker 2: on tips, the no tax on overtime. I'm trying to

706
00:35:49,480 --> 00:35:53,280
Speaker 2: make life more affordable, the gas prices. Those are things

707
00:35:53,320 --> 00:35:55,960
Speaker 2: that I actually think, Well, you know, they've been hammering

708
00:35:56,040 --> 00:35:58,200
Speaker 2: him on all these approval rings at forty this or

709
00:35:58,239 --> 00:36:00,640
Speaker 2: thirty nine or thirty depending on poll. I think he

710
00:36:00,719 --> 00:36:04,400
Speaker 2: gets a bump that actually stays because he landed it

711
00:36:04,520 --> 00:36:07,760
Speaker 2: so well in the audience, and he looked really calm,

712
00:36:08,040 --> 00:36:10,600
Speaker 2: He looked really just like, I'm doing this because I

713
00:36:10,680 --> 00:36:13,920
Speaker 2: want to fix the country, and other speeches haven't come

714
00:36:13,960 --> 00:36:14,920
Speaker 2: across that way always.

715
00:36:15,360 --> 00:36:18,120
Speaker 3: Yeah, let me agree with you. And then I think

716
00:36:18,480 --> 00:36:23,000
Speaker 3: the message tonight was the record of the last year.

717
00:36:23,520 --> 00:36:23,719
Speaker 5: Yeah.

718
00:36:23,800 --> 00:36:27,239
Speaker 3: The record of the last year, I believe is objectively phenomenal.

719
00:36:27,760 --> 00:36:27,920
Speaker 5: Yeah.

720
00:36:27,920 --> 00:36:30,560
Speaker 3: And I've been in the Senate now fourteen years. We've

721
00:36:30,680 --> 00:36:34,120
Speaker 3: never had a year where we've accomplished even a fraction

722
00:36:35,040 --> 00:36:37,120
Speaker 3: of what you did has been accomplished in the last year.

723
00:36:37,480 --> 00:36:39,480
Speaker 3: I mean, it is staggering. And he did a good job.

724
00:36:40,120 --> 00:36:43,480
Speaker 3: You know, we talked about on the last pod how

725
00:36:43,520 --> 00:36:46,640
Speaker 3: I spent thirty forty minutes on the phone with Trump

726
00:36:46,719 --> 00:36:49,320
Speaker 3: last week, and one of the things we talked about

727
00:36:49,360 --> 00:36:53,279
Speaker 3: was messaging for the midterms, and I said, listen, we

728
00:36:53,360 --> 00:36:56,640
Speaker 3: need to focus on results, on the very real results

729
00:36:58,880 --> 00:37:03,480
Speaker 3: securing the border, ninety nine percent drop in elou crossings.

730
00:37:04,080 --> 00:37:08,040
Speaker 3: And then I encouraged him a message that's not getting

731
00:37:08,080 --> 00:37:12,480
Speaker 3: the attention it should is the impact on crime. Yes, Amen,

732
00:37:12,600 --> 00:37:17,160
Speaker 3: murder rates have dropped twenty percent, drug overdose deaths have

733
00:37:17,280 --> 00:37:21,279
Speaker 3: dropped twenty percent. They're literally thousands of Americans who were

734
00:37:21,280 --> 00:37:24,360
Speaker 3: alive today because Trump was elected and Republicans won Congress.

735
00:37:24,400 --> 00:37:25,720
Speaker 5: It's a great message.

736
00:37:25,680 --> 00:37:30,120
Speaker 3: And that's been lost. And I was really happy, like

737
00:37:30,360 --> 00:37:34,239
Speaker 3: the first twenty minutes of the speech were laying out

738
00:37:34,280 --> 00:37:37,920
Speaker 3: that message and going through murder rates and crime rates

739
00:37:37,960 --> 00:37:41,640
Speaker 3: and d C rates and like how unhappy the Democrats

740
00:37:41,680 --> 00:37:45,759
Speaker 3: were that crime rates had plummeted in d C and

741
00:37:45,800 --> 00:37:47,160
Speaker 3: New Orleans and your hometown of.

742
00:37:47,160 --> 00:37:47,960
Speaker 5: Memphis, Memphis.

743
00:37:48,000 --> 00:37:51,799
Speaker 3: Yeah, the Democrats were furious that fewer people are being murdered.

744
00:37:51,840 --> 00:37:55,239
Speaker 1: They wouldn't stand up on mass for murder declining. You

745
00:37:55,280 --> 00:37:57,560
Speaker 1: know this. I was looking at the polls and aggregate

746
00:37:57,600 --> 00:38:00,759
Speaker 1: of the polls from just January fivy leading into this,

747
00:38:00,840 --> 00:38:01,239
Speaker 1: and to be.

748
00:38:01,200 --> 00:38:03,840
Speaker 3: Fair, the pro murder community in America is pretty small.

749
00:38:04,480 --> 00:38:07,440
Speaker 1: It is look, it's a constituency, but it's not the

750
00:38:07,440 --> 00:38:09,799
Speaker 1: one you want. And so I was looking at as

751
00:38:09,800 --> 00:38:15,680
Speaker 1: aggrit of polls, Maris, PBS, a handful of others, and

752
00:38:15,960 --> 00:38:18,200
Speaker 1: the hard fact I spoke to some members of Congress

753
00:38:18,200 --> 00:38:21,880
Speaker 1: about this today. The hard fact is Republicans are underwater

754
00:38:22,280 --> 00:38:25,399
Speaker 1: on the economy, on economic perception. I think you could

755
00:38:25,480 --> 00:38:27,640
Speaker 1: could turn it around, but right now we're a little

756
00:38:27,640 --> 00:38:28,240
Speaker 1: bit underwater.

757
00:38:28,520 --> 00:38:29,120
Speaker 5: On healthcare.

758
00:38:29,200 --> 00:38:33,480
Speaker 1: Democrats always went on healthcare and on a defensive democracy

759
00:38:33,600 --> 00:38:36,000
Speaker 1: or it's kind of a contrived category, but.

760
00:38:36,600 --> 00:38:37,640
Speaker 5: Anyway, they went on that.

761
00:38:37,840 --> 00:38:40,120
Speaker 1: So the ones that we're winning on right now quite

762
00:38:40,120 --> 00:38:46,160
Speaker 1: decisively are immigration and border enforcement, even more so now

763
00:38:46,160 --> 00:38:49,600
Speaker 1: the border is shut down, and especially on crime. So

764
00:38:49,640 --> 00:38:51,920
Speaker 1: the key, it seems to me, is one that tells

765
00:38:51,920 --> 00:38:55,719
Speaker 1: you people are concerned about safety, and two, if you

766
00:38:55,800 --> 00:39:00,000
Speaker 1: can tie all of that together. The crime relates obviously

767
00:39:00,120 --> 00:39:03,560
Speaker 1: to illegal immigration, that's why it's called illegal. And the

768
00:39:04,000 --> 00:39:05,960
Speaker 1: housing prices even have the way to the you know,

769
00:39:06,040 --> 00:39:08,840
Speaker 1: the fact that you have six months consecutive decline on

770
00:39:08,920 --> 00:39:11,520
Speaker 1: housing prices coinciding with Mastery petition two.

771
00:39:11,440 --> 00:39:14,799
Speaker 3: Million people being deported, and that's just less demand, you know.

772
00:39:14,880 --> 00:39:16,520
Speaker 3: By the way, like a couple of weeks ago, the

773
00:39:16,560 --> 00:39:21,200
Speaker 3: Houston Chronicle had a front page story that said murder

774
00:39:21,280 --> 00:39:23,800
Speaker 3: rates in Houston have declined eighteen percent.

775
00:39:24,520 --> 00:39:24,759
Speaker 2: Yep.

776
00:39:25,280 --> 00:39:27,840
Speaker 3: And Heidi showed me the article because she knew it

777
00:39:27,840 --> 00:39:32,360
Speaker 3: pissed me off because the article, yes, the article the

778
00:39:32,440 --> 00:39:37,160
Speaker 3: Chronicle says nobody can figure out why. It's completely inexplicable.

779
00:39:37,440 --> 00:39:40,040
Speaker 3: The experts we talk about have no idea why the

780
00:39:40,120 --> 00:39:42,440
Speaker 3: murder rate is dropping, and it like doesn't occur to

781
00:39:42,480 --> 00:39:47,319
Speaker 3: them that arresting and deporting murderers and gang bangers will

782
00:39:47,400 --> 00:39:48,560
Speaker 3: reduce the murder rate.

783
00:39:48,680 --> 00:39:49,400
Speaker 5: Like it's not.

784
00:39:50,160 --> 00:39:55,839
Speaker 3: This is not rocket science. Fewer murderers means fewer murders,

785
00:39:55,880 --> 00:40:00,960
Speaker 3: but yet to Democrats that makes no sense to them. Yeah,

786
00:40:01,000 --> 00:40:03,680
Speaker 3: and so that message was good. I also liked on

787
00:40:03,719 --> 00:40:07,239
Speaker 3: no tax on tips that he had the mom who

788
00:40:07,280 --> 00:40:10,920
Speaker 3: is the waitress stand up and he said, between no

789
00:40:11,040 --> 00:40:14,359
Speaker 3: tax on tips and no tax on overtime, she's going

790
00:40:14,440 --> 00:40:17,759
Speaker 3: to take home five thousand more dollars this year than

791
00:40:17,840 --> 00:40:21,239
Speaker 3: last year. That was real and it's not abstract. And

792
00:40:21,280 --> 00:40:24,000
Speaker 3: by the way, the Democrats wouldn't applauded for like the

793
00:40:24,040 --> 00:40:27,440
Speaker 3: mom waiting tables. They're not rooting for her and they

794
00:40:27,440 --> 00:40:29,360
Speaker 3: want to take that five thousand dollars and that's.

795
00:40:29,200 --> 00:40:31,760
Speaker 1: Real money, you know, five thousand dollars is real money.

796
00:40:31,920 --> 00:40:35,440
Speaker 1: It's not some abstraction so nuts and bolts. You know,

797
00:40:35,520 --> 00:40:38,360
Speaker 1: if this was a speech, obviously you'reed at the midterms.

798
00:40:38,880 --> 00:40:41,040
Speaker 1: Do you think it moves the needle?

799
00:40:42,320 --> 00:40:44,799
Speaker 3: I did keep message discipline of focusing on it.

800
00:40:44,880 --> 00:40:45,120
Speaker 5: Yes.

801
00:40:45,920 --> 00:40:49,279
Speaker 2: By the way, yes, yesterday morning, you and I'm talking

802
00:40:49,280 --> 00:40:53,160
Speaker 2: about this. I had breakfast a Speaker Johnson and you

803
00:40:53,200 --> 00:40:55,000
Speaker 2: talk about the reason why I think this one sticks.

804
00:40:55,760 --> 00:41:00,200
Speaker 2: There is a very real sense that Republican leadership have

805
00:41:00,280 --> 00:41:02,759
Speaker 2: our act together for once that we haven't had in

806
00:41:02,800 --> 00:41:06,960
Speaker 2: a long time. I also think that matters. Speaker Johnson

807
00:41:07,040 --> 00:41:11,719
Speaker 2: understands he basically has a one person majority he does

808
00:41:11,760 --> 00:41:14,680
Speaker 2: not want to have, and President Trump doesn't want to

809
00:41:14,719 --> 00:41:18,760
Speaker 2: have the Democrats take over the House. It is insanely slim,

810
00:41:19,280 --> 00:41:21,919
Speaker 2: and I think they're working so well together the same

811
00:41:21,960 --> 00:41:24,040
Speaker 2: way Center that you work so well with the President.

812
00:41:24,360 --> 00:41:26,759
Speaker 2: There does seem to be that we're actually on the

813
00:41:26,800 --> 00:41:29,800
Speaker 2: same team for once. I've not experienced that many times

814
00:41:29,800 --> 00:41:32,360
Speaker 2: in my life in the Republican Party. Like there's always

815
00:41:32,400 --> 00:41:34,400
Speaker 2: the infighting. We always not as screwed up when we

816
00:41:34,400 --> 00:41:38,560
Speaker 2: get power. There's different people jacking for positions. There does

817
00:41:38,600 --> 00:41:40,319
Speaker 2: seem to be a little bit of momentum now that

818
00:41:40,320 --> 00:41:42,239
Speaker 2: we're on the same team going the midterms. That's the

819
00:41:42,239 --> 00:41:44,319
Speaker 2: other reason I think this speech will continue in the

820
00:41:44,360 --> 00:41:46,560
Speaker 2: momentum because you have Johnson others advocating.

821
00:41:47,600 --> 00:41:52,080
Speaker 3: Look, I hope so to play Devil's advocates. We're a

822
00:41:52,440 --> 00:41:55,800
Speaker 3: very divided country, and so the people who hate Trump

823
00:41:56,440 --> 00:41:58,839
Speaker 3: still hate them after the speech, for sure, if they're

824
00:41:58,840 --> 00:41:59,840
Speaker 3: not actually listening.

825
00:42:02,200 --> 00:42:02,680
Speaker 5: And so.

826
00:42:04,120 --> 00:42:06,520
Speaker 3: I do think Ben, you focused on the right area,

827
00:42:06,680 --> 00:42:09,240
Speaker 3: which is the people who voted for him in twenty

828
00:42:09,239 --> 00:42:13,719
Speaker 3: four but maybe demoralized by the press narrative that has

829
00:42:13,760 --> 00:42:18,040
Speaker 3: been driven and to the extent this focuses them on Wow,

830
00:42:18,080 --> 00:42:22,239
Speaker 3: we're winning some big, big victories. I also really liked Look,

831
00:42:22,360 --> 00:42:24,680
Speaker 3: the no tax on tips emphasis I liked because I

832
00:42:24,680 --> 00:42:29,080
Speaker 3: wrote that bill. And I really liked his emphasis on

833
00:42:29,480 --> 00:42:31,640
Speaker 3: the Trump accounts because, as you guys know, I wrote

834
00:42:31,680 --> 00:42:34,880
Speaker 3: that too, and the Democrats wouldn't applaud for that.

835
00:42:34,960 --> 00:42:37,520
Speaker 1: I'm sorry, I actually have to pause here because I'm

836
00:42:37,560 --> 00:42:38,080
Speaker 1: sitting in the.

837
00:42:38,760 --> 00:42:41,359
Speaker 5: Upper part of the gallery to the right. If you're

838
00:42:41,440 --> 00:42:42,560
Speaker 5: the president.

839
00:42:42,160 --> 00:42:45,799
Speaker 1: Appointing and you didn't get everyone was standing up at

840
00:42:45,800 --> 00:42:48,839
Speaker 1: certain moments. That was one where I bolted up and

841
00:42:48,920 --> 00:42:50,680
Speaker 1: other people were kind of slower. I think they didn't

842
00:42:50,719 --> 00:42:54,080
Speaker 1: quite process what the Trump accounts meant. I'm really into

843
00:42:54,120 --> 00:42:56,839
Speaker 1: the Trump accounts. Like the Trump accounts I think are

844
00:42:57,040 --> 00:43:02,120
Speaker 1: such a white pill, you know, focusing on which is

845
00:43:02,160 --> 00:43:03,280
Speaker 1: an existential issue.

846
00:43:03,280 --> 00:43:05,759
Speaker 5: It's so practical, and I'm going to confess something. I

847
00:43:05,760 --> 00:43:08,239
Speaker 5: should follow this. I'm like, professionally, I'm supposed to follow

848
00:43:08,239 --> 00:43:08,720
Speaker 5: this closely.

849
00:43:09,400 --> 00:43:13,000
Speaker 1: I did not know that you were pushing the Trump accounts.

850
00:43:13,160 --> 00:43:15,879
Speaker 1: You were, I wrote it unbelieved I should have known,

851
00:43:15,960 --> 00:43:16,640
Speaker 1: but I didn't know.

852
00:43:16,800 --> 00:43:18,560
Speaker 3: In fact, do you want to hear the story of

853
00:43:18,600 --> 00:43:20,960
Speaker 3: the origin of the Trump accounts. It's a cool story.

854
00:43:21,000 --> 00:43:22,640
Speaker 3: I've told it on the pod, but not in a while.

855
00:43:23,920 --> 00:43:28,600
Speaker 3: So they originated from a poker game in Vegas, so

856
00:43:28,800 --> 00:43:30,520
Speaker 3: as you guys know, I like poker.

857
00:43:31,440 --> 00:43:33,640
Speaker 2: By the way, Michael, were you invited to this poker night?

858
00:43:33,680 --> 00:43:34,719
Speaker 2: I just want to be clear about it.

859
00:43:34,760 --> 00:43:39,560
Speaker 5: I'm very offended, but I was not invited to.

860
00:43:39,560 --> 00:43:41,600
Speaker 2: The boy we're on the same team again.

861
00:43:42,560 --> 00:43:45,440
Speaker 3: It was a poker game for political donors. If you

862
00:43:45,440 --> 00:43:46,880
Speaker 3: guys will write me a check.

863
00:43:48,400 --> 00:43:50,040
Speaker 2: Okay, now saying.

864
00:43:53,480 --> 00:43:56,680
Speaker 3: Rich podcasters, So you know you ought to.

865
00:43:57,320 --> 00:43:59,479
Speaker 2: Michael, if you and I ever have a poker game.

866
00:43:59,560 --> 00:44:01,960
Speaker 2: I think we will will organize it next time. We'll

867
00:44:02,000 --> 00:44:03,880
Speaker 2: invite the center in advance. Do you agree with that?

868
00:44:04,120 --> 00:44:05,239
Speaker 5: We're very generous people.

869
00:44:05,320 --> 00:44:08,080
Speaker 2: Yes, we are. We're very kind podcasters. Keep going with

870
00:44:08,080 --> 00:44:08,960
Speaker 2: your story, all right.

871
00:44:09,000 --> 00:44:12,080
Speaker 3: So I do a poker fundraiser typically in April in Vegas,

872
00:44:12,719 --> 00:44:15,239
Speaker 3: and so not last April, but two aprils ago. I

873
00:44:15,280 --> 00:44:19,920
Speaker 3: was there and and typically several poker pros will come.

874
00:44:19,960 --> 00:44:22,279
Speaker 3: I'm buddies with a number of the poker pros. And

875
00:44:22,360 --> 00:44:24,920
Speaker 3: so we're sitting at the Bellagio three in the morning

876
00:44:25,080 --> 00:44:29,120
Speaker 3: and Phil Hellmuth, who's one of the greatest poker players

877
00:44:29,160 --> 00:44:31,000
Speaker 3: to have ever lived. Phil would tell you he is

878
00:44:31,080 --> 00:44:33,799
Speaker 3: the greatest poker player to ever live. And he's got

879
00:44:33,800 --> 00:44:37,880
Speaker 3: a real argument to it. He's got I think fifteen bracelets,

880
00:44:37,560 --> 00:44:39,240
Speaker 3: so it's it's crazy.

881
00:44:39,719 --> 00:44:40,920
Speaker 2: That's a lot.

882
00:44:41,200 --> 00:44:43,560
Speaker 3: So we're sitting there playing poker and he asked me.

883
00:44:43,600 --> 00:44:47,799
Speaker 3: He says, hey, do you know Brad Gerster, And at

884
00:44:47,840 --> 00:44:50,400
Speaker 3: the time I didn't, I'm like, yeah, who's he? And

885
00:44:50,440 --> 00:44:55,560
Speaker 3: he's a very successful venture capitalist in Silicon Valley and

886
00:44:55,640 --> 00:44:58,080
Speaker 3: he has this idea that was called in West America.

887
00:44:58,880 --> 00:45:00,920
Speaker 3: And I'm like, what's that? And and Phil describes it

888
00:45:00,920 --> 00:45:04,040
Speaker 3: for a minute, and I said, Hey, that sounds like

889
00:45:04,120 --> 00:45:08,000
Speaker 3: something I'd be really interested in. And so Phil pulls

890
00:45:08,040 --> 00:45:11,160
Speaker 3: out his phone and he puts together a text thread

891
00:45:11,200 --> 00:45:14,759
Speaker 3: and connects me and Brad and says, you two should talk.

892
00:45:14,800 --> 00:45:18,880
Speaker 3: You would really like each other. The next week, Brad

893
00:45:18,880 --> 00:45:22,920
Speaker 3: gets on a plane, flies to DC, comes to my

894
00:45:23,000 --> 00:45:27,919
Speaker 3: office and pitches the invest American accounts. I immediately called

895
00:45:27,920 --> 00:45:30,960
Speaker 3: my policy team in and said, let's start drafting this.

896
00:45:31,640 --> 00:45:35,040
Speaker 3: So we drafted the legislation. Now, Brad has said for

897
00:45:35,200 --> 00:45:37,440
Speaker 3: months he had talked to a bunch of other senators

898
00:45:38,320 --> 00:45:40,880
Speaker 3: and none of them did a damn thing. He talked

899
00:45:40,880 --> 00:45:43,399
Speaker 3: to them and they'd all kind of nod and be like, yeah, yeah,

900
00:45:43,400 --> 00:45:45,120
Speaker 3: that's a great idea, and then no one would do anything.

901
00:45:45,400 --> 00:45:49,080
Speaker 3: We sat down and wrote the bill. That is the

902
00:45:49,120 --> 00:45:52,760
Speaker 3: bill that is Trump Accounts. It was my bills great

903
00:45:53,000 --> 00:45:59,120
Speaker 3: that we wrote. And it is literally the case that

904
00:45:59,160 --> 00:46:02,200
Speaker 3: if Phil Helm does not connect me with Brad Gersner

905
00:46:02,320 --> 00:46:05,719
Speaker 3: April a year ago, there are no Trump accounts, and

906
00:46:05,800 --> 00:46:09,239
Speaker 3: the American the kids of America do not have trillions

907
00:46:09,239 --> 00:46:11,520
Speaker 3: and investments, which is what they're going to have through

908
00:46:11,560 --> 00:46:12,640
Speaker 3: Trump account you know, this.

909
00:46:12,560 --> 00:46:14,719
Speaker 2: Is Michael, Michael, you know what I heard there by

910
00:46:14,719 --> 00:46:17,400
Speaker 2: the way I heard that. Could you imagine the bills

911
00:46:17,400 --> 00:46:20,520
Speaker 2: that could have been written if you, Michael and I

912
00:46:20,600 --> 00:46:23,759
Speaker 2: were there at that table, I know, I mean the

913
00:46:24,680 --> 00:46:27,280
Speaker 2: we could have come up with. We could have cured cancer.

914
00:46:27,320 --> 00:46:29,279
Speaker 1: Maybe at this we could have ended the ninth and

915
00:46:29,360 --> 00:46:31,400
Speaker 1: tenth wars. That could have added to the record.

916
00:46:31,640 --> 00:46:33,000
Speaker 5: We could state department, the.

917
00:46:33,040 --> 00:46:34,839
Speaker 2: Ending of the Michael and Ben Warres. I like this.

918
00:46:35,000 --> 00:46:35,160
Speaker 5: You know.

919
00:46:35,200 --> 00:46:38,120
Speaker 1: The thing that I love about the Trump accounts, in

920
00:46:38,160 --> 00:46:42,640
Speaker 1: particular from the Republican coalitional standpoint, is there, you know,

921
00:46:42,880 --> 00:46:46,480
Speaker 1: the right always has all these different ideological factions because

922
00:46:46,520 --> 00:46:49,400
Speaker 1: we're more independent thinkers, and the left has progressives and

923
00:46:49,520 --> 00:46:52,319
Speaker 1: very progressives and John Fetterman, I guess, and we you know,

924
00:46:52,360 --> 00:46:54,359
Speaker 1: we kind of have all these divisions. And so one

925
00:46:54,360 --> 00:46:56,680
Speaker 1: of the divisions that's come about in recent years, last

926
00:46:56,719 --> 00:46:59,279
Speaker 1: five or ten years, is people who were focused on

927
00:47:00,120 --> 00:47:02,480
Speaker 1: more the common good, you know, kind of an Aristotelian

928
00:47:02,600 --> 00:47:05,000
Speaker 1: view of politics, and people are more focused on the

929
00:47:05,040 --> 00:47:08,640
Speaker 1: libertarian view that comes from classical liberalism up through Sahayak.

930
00:47:09,080 --> 00:47:11,400
Speaker 1: And what I love about the Trump accounts is it

931
00:47:11,440 --> 00:47:15,000
Speaker 1: actually marries the two. It's this beautiful, it just hits

932
00:47:15,040 --> 00:47:18,960
Speaker 1: this sweet spot. It's good that no flattery because I

933
00:47:19,000 --> 00:47:20,520
Speaker 1: actually didn't even know you were behind it.

934
00:47:20,760 --> 00:47:22,239
Speaker 5: That is really good.

935
00:47:22,280 --> 00:47:25,719
Speaker 3: By the way, we had Brad on Verdict. You know,

936
00:47:25,760 --> 00:47:28,600
Speaker 3: he's come on Verdict and talked about the whole idea.

937
00:47:28,960 --> 00:47:31,439
Speaker 3: And Brad came up with the idea with his two

938
00:47:31,480 --> 00:47:37,440
Speaker 3: teenage sons and they spent years pushing it and and

939
00:47:37,480 --> 00:47:39,400
Speaker 3: Brad was there and recognized by the President of the

940
00:47:39,440 --> 00:47:42,960
Speaker 3: State of the Union. So Brad had put together a

941
00:47:43,000 --> 00:47:46,680
Speaker 3: CEO's council behind the Invest America accounts, and the chairman

942
00:47:46,760 --> 00:47:49,080
Speaker 3: of it was Michael Dell. And Michael's a good friend

943
00:47:49,080 --> 00:47:50,400
Speaker 3: of mine. He's a Texan and we spent a lot

944
00:47:50,440 --> 00:47:55,960
Speaker 3: of time together. And the CEOs had all committed that

945
00:47:56,040 --> 00:47:58,799
Speaker 3: they would contribute or match to Trump accounts. So they're

946
00:47:58,840 --> 00:48:01,680
Speaker 3: two accelerators that are written into these these Trump accounts

947
00:48:01,719 --> 00:48:04,719
Speaker 3: that make them even more potent. Number one is that

948
00:48:04,800 --> 00:48:10,920
Speaker 3: employers can contributor match and Listen, when Congress passed Section

949
00:48:11,040 --> 00:48:15,960
Speaker 3: four oh one k of Arissa, nobody knew how fundamentally

950
00:48:16,000 --> 00:48:19,560
Speaker 3: they were changing how Americans save for retirement. Today, there's

951
00:48:19,640 --> 00:48:22,480
Speaker 3: more than twelve trillion dollars in four to one K accounts.

952
00:48:23,640 --> 00:48:25,879
Speaker 3: Trump accounts are for to one case for kids. Yeah,

953
00:48:26,280 --> 00:48:29,040
Speaker 3: so in very short order, you're gonna see trillions of

954
00:48:29,040 --> 00:48:35,879
Speaker 3: dollars in there. The two accelerators. One is that employers

955
00:48:35,920 --> 00:48:38,400
Speaker 3: can contributor match, and so all the employers on the

956
00:48:38,480 --> 00:48:42,240
Speaker 3: CEO Council had already committed we're going to contributor match.

957
00:48:42,680 --> 00:48:46,640
Speaker 3: This is going to become a ubiquitous as standard employee benefit,

958
00:48:46,800 --> 00:48:49,640
Speaker 3: just like a four to one K contribution is a

959
00:48:49,640 --> 00:48:53,440
Speaker 3: pretty standard employee benefit. You're gonna see employers, we're already

960
00:48:53,440 --> 00:48:57,560
Speaker 3: seeing a bunch who will match or contribute to the

961
00:48:57,560 --> 00:48:59,880
Speaker 3: Trump accounts of the kids of their employees. So that

962
00:49:00,080 --> 00:49:03,960
Speaker 3: accelerates massively. The second thing, and we deliberately wrote this

963
00:49:04,840 --> 00:49:07,480
Speaker 3: so that it can accept philanthropy and it can accept

964
00:49:07,560 --> 00:49:12,520
Speaker 3: charitable gifts. And as you know, Michael and Susan Dell

965
00:49:13,360 --> 00:49:17,200
Speaker 3: have given six and a quarter billion dollars and what

966
00:49:17,239 --> 00:49:21,040
Speaker 3: they've given is two hundred and fifty dollars for America's

967
00:49:21,040 --> 00:49:25,719
Speaker 3: two hundred and fiftyth birthday to every child in America

968
00:49:26,360 --> 00:49:30,960
Speaker 3: under age ten who lives in a zip code where

969
00:49:30,960 --> 00:49:33,319
Speaker 3: the median income is one hundred and fifty thousand or less,

970
00:49:34,080 --> 00:49:36,480
Speaker 3: and so we wrote it so you can turn the dials.

971
00:49:36,920 --> 00:49:39,719
Speaker 3: You can turn the dials geographically, you can turn the

972
00:49:39,719 --> 00:49:42,360
Speaker 3: dials age wise, you can turn the dials income wise.

973
00:49:43,080 --> 00:49:49,640
Speaker 3: So Michael's done that. Brad Gerstner has given two hundred

974
00:49:49,640 --> 00:49:53,640
Speaker 3: and fifty dollars to every kid in Indiana under age

975
00:49:53,719 --> 00:49:57,799
Speaker 3: five in zip codes with median income of one hundred

976
00:49:57,800 --> 00:50:00,680
Speaker 3: and fifty thousand or less. And Ray Dillald, the hedge

977
00:50:00,680 --> 00:50:05,120
Speaker 3: fund billionaire, has sponsored the kids in Connecticut. And I

978
00:50:05,200 --> 00:50:11,320
Speaker 3: actually have talked to a number of gazillionaires and Michael,

979
00:50:11,360 --> 00:50:14,400
Speaker 3: Dell and Brad are getting on zooms and talking to

980
00:50:14,440 --> 00:50:19,840
Speaker 3: people with great wealth. That's awesome, encouraging them give your resources.

981
00:50:19,840 --> 00:50:21,520
Speaker 3: And here Michael and I have talked at length about

982
00:50:21,520 --> 00:50:26,000
Speaker 3: that and one of the things that he got excited about. So, look,

983
00:50:26,719 --> 00:50:29,279
Speaker 3: Michael and Susan have between a hundred billion and two

984
00:50:29,360 --> 00:50:32,200
Speaker 3: hundred million dollars, Like it's a massive amount of money,

985
00:50:33,120 --> 00:50:36,520
Speaker 3: and they're smart and responsible, and so they've had serious

986
00:50:36,560 --> 00:50:43,120
Speaker 3: conversations about how do you give away your fortune? And look,

987
00:50:43,160 --> 00:50:45,600
Speaker 3: you look at people who have achieved great fortunes, they

988
00:50:45,600 --> 00:50:48,960
Speaker 3: create a foundation. The foundation gets taken over by a

989
00:50:49,000 --> 00:50:51,640
Speaker 3: bunch of Marxists who spend all their money undermining everything

990
00:50:51,640 --> 00:50:55,080
Speaker 3: the founders believe. Every time Henry Ford is rolling over

991
00:50:55,120 --> 00:50:59,959
Speaker 3: in his grave, John D. Rockefeller is spitting in his grave.

992
00:51:01,880 --> 00:51:06,400
Speaker 3: And one of the problems with that much money is

993
00:51:06,440 --> 00:51:08,759
Speaker 3: it's hard to give it away. Most charities can't take

994
00:51:08,760 --> 00:51:11,000
Speaker 3: a billion dollars like it's too much money, and it

995
00:51:11,080 --> 00:51:15,000
Speaker 3: swamps them. So Michael and Susan have given six and

996
00:51:15,040 --> 00:51:18,759
Speaker 3: a quarter billion dollars, but they've told me they are

997
00:51:18,800 --> 00:51:22,480
Speaker 3: contemplating giving much much more than that.

998
00:51:22,480 --> 00:51:23,160
Speaker 2: That's so cool.

999
00:51:23,920 --> 00:51:26,200
Speaker 3: One of the things that's really powerful about these Trump

1000
00:51:26,200 --> 00:51:32,320
Speaker 3: accounts is they're infinitely scalable. Yea, they could literally absorb

1001
00:51:32,440 --> 00:51:37,360
Speaker 3: the entirety of Michael Dell's fortune and the fortune of

1002
00:51:38,200 --> 00:51:43,480
Speaker 3: every other gazillionaire. And what is really potent is the

1003
00:51:43,560 --> 00:51:46,680
Speaker 3: time value of investing. Look, if someone starts saving or

1004
00:51:46,719 --> 00:51:50,919
Speaker 3: investing when they're sixty, it's hard for it to grow

1005
00:51:50,960 --> 00:51:56,000
Speaker 3: and accumulate enough to be really significant by the time

1006
00:51:56,040 --> 00:52:00,680
Speaker 3: they retired. What makes the Trump accounts so incredible potent

1007
00:52:01,680 --> 00:52:05,560
Speaker 3: is we're starting at age zero, we're starting at baby,

1008
00:52:05,719 --> 00:52:09,440
Speaker 3: So you've got a time horizon where the kids of

1009
00:52:09,480 --> 00:52:14,239
Speaker 3: a single mom waiting table can can accumulate hundreds of

1010
00:52:14,280 --> 00:52:18,800
Speaker 3: thousands and even millions of dollars. And so for philanthropy,

1011
00:52:19,080 --> 00:52:22,040
Speaker 3: the math is powerful. If you put another thousand dollars

1012
00:52:22,040 --> 00:52:26,000
Speaker 3: in at the outset, it really really grows. And so

1013
00:52:26,120 --> 00:52:29,560
Speaker 3: that's something that is going to be really significant to

1014
00:52:29,600 --> 00:52:32,879
Speaker 3: speed these up. And and the point, Michael you made

1015
00:52:32,880 --> 00:52:37,160
Speaker 3: which which got me really excited, is we're creating a

1016
00:52:37,160 --> 00:52:41,560
Speaker 3: new generation of capitalists that every kid will have skin

1017
00:52:41,640 --> 00:52:43,960
Speaker 3: in the game and be an owner of the biggest

1018
00:52:43,960 --> 00:52:45,040
Speaker 3: employers in America.

1019
00:52:45,120 --> 00:52:46,759
Speaker 5: I thought this was a really important point.

1020
00:52:46,840 --> 00:52:49,800
Speaker 1: The President touched on well, one that the Trump accounts

1021
00:52:49,880 --> 00:52:53,120
Speaker 1: just do that, so it gives people skin in the game.

1022
00:52:53,400 --> 00:52:55,680
Speaker 1: Even when the President pointed out only half of Americans

1023
00:52:55,680 --> 00:52:57,799
Speaker 1: have access to for one case, yeah, they said, we

1024
00:52:57,840 --> 00:52:59,680
Speaker 1: want to we want to bring that other half of

1025
00:52:59,680 --> 00:53:00,200
Speaker 1: the let.

1026
00:53:00,160 --> 00:53:02,520
Speaker 3: Them opt in to the drift savings plan. That's an

1027
00:53:02,560 --> 00:53:04,720
Speaker 3: idea I've talked with the President in the White House about.

1028
00:53:04,920 --> 00:53:07,600
Speaker 3: I think it's a brilliant idea. I strongly support it.

1029
00:53:07,840 --> 00:53:09,920
Speaker 3: I'm working on legislation to do that as well, to

1030
00:53:09,920 --> 00:53:15,160
Speaker 3: codify that because it's look, the more you can create

1031
00:53:15,360 --> 00:53:19,600
Speaker 3: investors get people with equity. And one of the important

1032
00:53:19,640 --> 00:53:23,239
Speaker 3: things about how how the administration is designing the Trump

1033
00:53:23,239 --> 00:53:27,960
Speaker 3: Accounts app is that it is not gonna simply say

1034
00:53:28,080 --> 00:53:30,319
Speaker 3: you've got X dollars in the S and P.

1035
00:53:30,400 --> 00:53:30,960
Speaker 5: Five hundred.

1036
00:53:32,000 --> 00:53:36,319
Speaker 3: It's gonna break down every constituent stock they own within it.

1037
00:53:36,400 --> 00:53:37,000
Speaker 2: That's awesome.

1038
00:53:37,040 --> 00:53:38,919
Speaker 3: So a ten year old will be able to see

1039
00:53:39,680 --> 00:53:42,960
Speaker 3: I own one hundred bucks of Apple or Tesla or

1040
00:53:43,000 --> 00:53:47,960
Speaker 3: Ford or McDonald's, and they'll see so so a kid

1041
00:53:48,040 --> 00:53:50,759
Speaker 3: won't be rooting. I hate evil corporations. I want them

1042
00:53:50,760 --> 00:53:52,960
Speaker 3: to fail. They're gonna be like, wait, I own that corporation.

1043
00:53:53,160 --> 00:53:56,600
Speaker 3: I want them to do better. That changes their whole worldview.

1044
00:53:56,800 --> 00:53:58,560
Speaker 3: It makes them capitalists.

1045
00:53:58,120 --> 00:53:58,360
Speaker 5: You know it.

1046
00:53:58,719 --> 00:54:01,680
Speaker 1: Even during one of the big crises of capitalism in

1047
00:54:01,719 --> 00:54:05,520
Speaker 1: the early twentieth century, where you had real excesses of

1048
00:54:05,520 --> 00:54:08,080
Speaker 1: industrialization that created you know, like child labor and all

1049
00:54:08,120 --> 00:54:12,360
Speaker 1: this stuff, there was this movement among serious Christian thinkers

1050
00:54:12,680 --> 00:54:16,640
Speaker 1: to try to resolve these tensions between capitalism and the

1051
00:54:16,680 --> 00:54:19,279
Speaker 1: working poor. And there were all these chesters and had

1052
00:54:19,280 --> 00:54:22,799
Speaker 1: a version with Bellock distributism. But the whole point, and

1053
00:54:22,840 --> 00:54:25,840
Speaker 1: there's didn't really work. But the whole point was you

1054
00:54:25,920 --> 00:54:30,360
Speaker 1: need people to really have a stake in the society

1055
00:54:30,920 --> 00:54:34,480
Speaker 1: in following subsidiarity, and you know all these principles that

1056
00:54:34,520 --> 00:54:38,120
Speaker 1: are so enshrined in the American system too, and this

1057
00:54:38,239 --> 00:54:40,040
Speaker 1: really does that where you think, oh, I have a

1058
00:54:40,080 --> 00:54:42,160
Speaker 1: steak in the corporations, I have a steak here.

1059
00:54:42,239 --> 00:54:46,000
Speaker 3: By the way, I miss geeky cerebral academic stuff on

1060
00:54:46,040 --> 00:54:48,800
Speaker 3: the pod. I will say, the sort of tenor of

1061
00:54:48,920 --> 00:54:52,600
Speaker 3: verdict has shifted. I don't know why. I can't imagine

1062
00:54:52,640 --> 00:54:56,359
Speaker 3: the cause, but I'm just saying, you know, I'm having

1063
00:54:56,400 --> 00:54:57,719
Speaker 3: a waft of nostalgia.

1064
00:54:57,800 --> 00:54:59,719
Speaker 5: There's a little more Chesterton. It comes it.

1065
00:54:59,800 --> 00:55:02,560
Speaker 2: Yes, all the people that just tell us the wakes

1066
00:55:02,640 --> 00:55:05,480
Speaker 2: back up. I got you back, keep going, wake up.

1067
00:55:06,480 --> 00:55:09,560
Speaker 2: Our audience level just went like this, but we're back

1068
00:55:09,560 --> 00:55:11,520
Speaker 2: now they're all awake again. Make your final point.

1069
00:55:11,560 --> 00:55:16,960
Speaker 1: Go ahead, this this this key is really important, because

1070
00:55:17,040 --> 00:55:20,160
Speaker 1: this is what really jazzed me about it. I don't

1071
00:55:20,239 --> 00:55:22,400
Speaker 1: like it when the right fractures into a million directions,

1072
00:55:22,400 --> 00:55:26,080
Speaker 1: because you know, I feel for Speaker Johnson. He has

1073
00:55:26,120 --> 00:55:28,400
Speaker 1: the worst job in all of politics. Yes, he has

1074
00:55:28,440 --> 00:55:30,600
Speaker 1: to hurt a bunch of cats. They all have all

1075
00:55:30,640 --> 00:55:32,759
Speaker 1: sorts of views. They have all sorts of principles, some

1076
00:55:32,760 --> 00:55:34,799
Speaker 1: of which conflict with each other, and so it's hard

1077
00:55:34,840 --> 00:55:36,680
Speaker 1: to get the right to do anything together.

1078
00:55:37,080 --> 00:55:40,840
Speaker 3: And these he is a good and decent man.

1079
00:55:40,880 --> 00:55:42,680
Speaker 5: Amazing, Yeah, he's one.

1080
00:55:43,000 --> 00:55:44,719
Speaker 1: He's a wonderful guy, and he's doing a great He

1081
00:55:44,760 --> 00:55:46,439
Speaker 1: happens to also be doing a great job.

1082
00:55:46,560 --> 00:55:48,839
Speaker 5: But I just think what what the prisident.

1083
00:55:48,560 --> 00:55:51,160
Speaker 1: Was speaking on, especially these kinds of issues, These are

1084
00:55:51,160 --> 00:55:53,720
Speaker 1: the kind of things that can actually rally the way

1085
00:55:53,760 --> 00:55:58,279
Speaker 1: together with moderate voters, frankly even central so who don't

1086
00:55:58,280 --> 00:55:59,239
Speaker 1: want the crazy.

1087
00:55:58,960 --> 00:56:01,560
Speaker 2: Final question for each of you quickly as we are

1088
00:56:01,640 --> 00:56:04,560
Speaker 2: hitting about an hour here in our say the union

1089
00:56:04,600 --> 00:56:10,720
Speaker 2: coverage over under on the midterms. Now, how much better

1090
00:56:10,719 --> 00:56:12,880
Speaker 2: do you feel going at leaving the end of the

1091
00:56:13,000 --> 00:56:15,360
Speaker 2: night compared to going into the beginning of the speech tonight.

1092
00:56:15,800 --> 00:56:18,680
Speaker 2: How much more optimistic are we can hold the house.

1093
00:56:20,960 --> 00:56:21,600
Speaker 5: Hold the house?

1094
00:56:22,880 --> 00:56:24,600
Speaker 1: It's going to be very hard in my view to

1095
00:56:24,640 --> 00:56:28,279
Speaker 1: hold the house. I would say, look, I feel I'll

1096
00:56:28,320 --> 00:56:31,480
Speaker 1: just pick a number. I feel twenty percent better if

1097
00:56:31,520 --> 00:56:35,760
Speaker 1: the Republicans can stay on message, if the Republicans cannot

1098
00:56:35,760 --> 00:56:39,319
Speaker 1: devolve into petty in fighting, if the Republicans can be

1099
00:56:39,360 --> 00:56:42,280
Speaker 1: disciplined in the way they campaign.

1100
00:56:42,840 --> 00:56:45,720
Speaker 5: These are all you know. If wishes were horses, beggars

1101
00:56:45,719 --> 00:56:46,160
Speaker 5: would ride.

1102
00:56:46,840 --> 00:56:51,400
Speaker 1: I still think historic headwinds, best of circumstances, the party

1103
00:56:51,440 --> 00:56:53,840
Speaker 1: and power, especially with unified government, loses the House in

1104
00:56:53,840 --> 00:56:54,480
Speaker 1: the midterms.

1105
00:56:54,719 --> 00:56:57,600
Speaker 5: However, I think that the President did every.

1106
00:56:57,640 --> 00:57:02,000
Speaker 1: Single thing possible to put the party in an advantage

1107
00:57:02,000 --> 00:57:02,880
Speaker 1: heading into the center.

1108
00:57:04,560 --> 00:57:11,160
Speaker 3: And look, my view right now, the political environment is rough. Yes,

1109
00:57:11,800 --> 00:57:15,160
Speaker 3: if the election were today, it would not be a

1110
00:57:15,200 --> 00:57:19,760
Speaker 3: great outcome. We are nationally in about a D plus

1111
00:57:19,840 --> 00:57:24,440
Speaker 3: six environment. What that means is where polling is nationally

1112
00:57:24,520 --> 00:57:26,760
Speaker 3: is about six points more Democrat than it was an

1113
00:57:26,800 --> 00:57:29,880
Speaker 3: election day in twenty twenty four. If we're in a

1114
00:57:29,960 --> 00:57:35,040
Speaker 3: D plus six environment, we lose the House and the

1115
00:57:35,080 --> 00:57:40,160
Speaker 3: Senate is potentially in jeopardy. Crazy if the election were today,

1116
00:57:40,240 --> 00:57:43,360
Speaker 3: that would be a real possibility. The good news is

1117
00:57:43,400 --> 00:57:48,720
Speaker 3: we got eight months and the substantive record is phenomenally good.

1118
00:57:48,960 --> 00:57:52,680
Speaker 3: It's not just a little bit good, it is insanely good.

1119
00:57:53,040 --> 00:57:56,800
Speaker 3: And so tonight was encouraging because Trump focused most of

1120
00:57:56,840 --> 00:58:01,440
Speaker 3: his time on laying out methodically that substance record and

1121
00:58:01,720 --> 00:58:04,720
Speaker 3: just how good it is and what we have to

1122
00:58:04,800 --> 00:58:07,320
Speaker 3: do I mean, I do like that we have eight months.

1123
00:58:08,160 --> 00:58:11,200
Speaker 3: Most Americans don't know all these victories we're winning exactly,

1124
00:58:11,400 --> 00:58:16,520
Speaker 3: and so our task is communicate the victories that are

1125
00:58:16,520 --> 00:58:19,560
Speaker 3: making a real difference in people's lives. But the good

1126
00:58:19,600 --> 00:58:23,600
Speaker 3: news is we have a monster amount of substance to

1127
00:58:23,640 --> 00:58:25,720
Speaker 3: talk about. We just need to talk about it, and

1128
00:58:26,840 --> 00:58:30,760
Speaker 3: I think if we make that case, we could certainly

1129
00:58:32,160 --> 00:58:34,560
Speaker 3: keep the House and the Senate and grow our majorities.

1130
00:58:34,560 --> 00:58:35,280
Speaker 5: Invoda, there you go.

1131
00:58:35,400 --> 00:58:38,040
Speaker 4: Thank you for listening to the forty seven Morning Update

1132
00:58:38,160 --> 00:58:42,280
Speaker 4: with Ben Ferguson. Please make sure you hit subscribe wherever

1133
00:58:42,320 --> 00:58:45,360
Speaker 4: you're listening to this podcast right now and for more

1134
00:58:45,360 --> 00:58:49,120
Speaker 4: in depth news, also subscribe to the Ben Ferguson Podcast

1135
00:58:49,360 --> 00:58:51,240
Speaker 4: and we will see you back here tomorrow