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Speaker 1: America needs this voice. The times are crazy in a

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Speaker 1: time of confusion, division and lies. We need a brave

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Speaker 1: voice of reason, understanding and truth.

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Speaker 2: This is the Dinesh de SUSA podcast. De mean I

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Speaker 2: are all geared up for our Friday roundup and we

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Speaker 2: have well a lot of things we're going to try

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Speaker 2: to cover in a relatively short space of time. We're

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Speaker 2: going to talk about the shooting at Brown University and

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Speaker 2: the suspect and the strangeness of that situation. The Vanity

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Speaker 2: Fair article on the Trump team, including Susie Wilds, Bondai

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Speaker 2: Beach I hear it's Bondai not Bondi Venezuela a an

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Speaker 2: article in CNN about Trump taking away First Amendment rights,

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Speaker 2: and a very strange story about a camel in a megachurch,

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Speaker 2: which we'll get to perhaps at the end, but we'll

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Speaker 2: start on a somber note. And yesterday I expressed some

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Speaker 2: confusion and consternation over this bizarre case at Brown University.

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Speaker 2: We seem to know more, but were no less bewildered

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Speaker 2: at the end of it. Right, what do you make

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Speaker 2: of this strange development? Supposedly they identify the guy, the suspect,

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Speaker 2: and then they go, he's dead. He shot himself. He's

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Speaker 2: they found him in some kind of a warehouse. And

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Speaker 2: he's this guy, this Portuguese guy with a long Portuguese name.

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Speaker 2: And what we know, or what we seem to know,

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Speaker 2: is that he went to school with the MIT professor

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Speaker 2: who was also killed. Apparently the two shootings are now

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Speaker 2: being linked. But the the other thing was that he

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Speaker 2: attended Brown. But it was in the early two thousands

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Speaker 2: for a short time I believed, like a year, and

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Speaker 2: he perhaps sat in that very classroom. But what sense

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Speaker 2: can you make of it?

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Speaker 3: I really can't make any sense out of it. We

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Speaker 3: tried looking for a motive and we're like, could they

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Speaker 3: have been lovers?

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Speaker 2: But then, okay, Ken, it would be an isolated inserne exactly.

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Speaker 3: And then why didn't he go to Mit? Why did

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Speaker 3: he go to Brown? You know what I mean? It

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Speaker 3: was very strange. But the one thing that I read,

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Speaker 3: I think it was this morning, was that, you know,

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Speaker 3: remember how we were trying to figure out what those

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Speaker 3: words were that he said, and we're like, you know,

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Speaker 3: did he say allah? Who walk bar? You know?

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Speaker 2: No?

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Speaker 3: Somebody said he barked like a dog.

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Speaker 2: Really, that's what I heard. I did not see that.

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Speaker 3: Yeah, And I was like, Okay, it just gets weirder

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Speaker 3: by the minute.

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Speaker 2: You know, I've been all week talking about life after death,

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Speaker 2: and one of the questions I've been talking about is

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Speaker 2: this whole issue that our actions can be explained not

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Speaker 2: by free will but by the physical state of the

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Speaker 2: neurons in our brain. Right, And all of this flashed

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Speaker 2: before my mind when you said, what's the motive? Because

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Speaker 2: as human beings, whenever we talk about anything, we cannot

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Speaker 2: understand it human behavior outside of intentionality. And if someone

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Speaker 2: were to say, well, of course he committed these murders,

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Speaker 2: this guy, he obviously had the appropriate brain state, and

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Speaker 2: no further explanation is needed because essentially the anatomical shape

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Speaker 2: of his mind and brain made him do it, and

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Speaker 2: his intentions don't enter into it. You'd be like, what

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Speaker 2: kind of gobbledegoog is that? What kind of madness? What

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Speaker 2: kind of inexplicable irrational account? So my point being that

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Speaker 2: human beings that were intentional animals, we act for motives,

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Speaker 2: and very often the first thing you do if you're

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Speaker 2: on a jury or you're examining a crime is you're like,

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Speaker 2: if you're saying this guy did it? Why do you

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Speaker 2: do it?

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Speaker 3: Why did he do it? Especially, it's especially interesting when

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Speaker 3: we see a case like on forty eight Hours or

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Speaker 3: one of those shows where the husband kills a wife

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Speaker 3: and there's no motive, like there, you know, no one's

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Speaker 3: having an affair, there's no the money insurance involved. It's like, wait,

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Speaker 3: he couldn't have done it, because he had to have

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Speaker 3: had a motive to do it, right, right.

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Speaker 2: I think in those cases it's not that there isn't

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Speaker 2: a motive, it's the motive is opaque. In other words,

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Speaker 2: the show it is not able to ferret out what

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Speaker 2: was the internal dynamics of that situation that might have

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Speaker 2: produced that. So I think those are cases where it's

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Speaker 2: not that there isn't a motive, we're just unaware of

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Speaker 2: what that of that what that motive is. So in

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Speaker 2: any case, it looks like this sad chapter will be closed.

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Speaker 2: And I was making the point to you just a

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Speaker 2: couple of hours ago that how sad for the victims.

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Speaker 2: You know, you're like, what explanation is there for why

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Speaker 2: my daughter was the vice president of College Republicans she

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Speaker 2: died and it turns out this weird guy for no

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Speaker 2: apparent reason. I mean, strange, could it even be? Does

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Speaker 2: it make any sense to say that? Okay, I'm off

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Speaker 2: my rocker. So I'm going to now think about a

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Speaker 2: classroom that I was sitting in twenty five years ago,

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Speaker 2: and for that reason, I'm going to go to that classroom.

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Speaker 2: I must say, that's a part of me that doesn't

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Speaker 2: even buy it. I mean, I'll accept it if that's

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Speaker 2: if that is what it is, and that's all there

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Speaker 2: is to know about it. But like your your good sense,

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Speaker 2: your your demand for the rest of the story, like

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Speaker 2: rebels against it. You're like, you're not satisfied with this account,

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Speaker 2: and yet sometimes that's all you get. All right, let's

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Speaker 2: talk about Vanity Fair and this portrait of a lighthouse

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Speaker 2: and focused on Susie Wilds, who apparently did a series

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Speaker 2: of interviews with Manny Fair. Good question about whether this

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Speaker 2: is even you know, worth doing. But when I mentioned

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Speaker 2: to you, she were like, well, did as you gave

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Speaker 2: interviews to Madny Fair during the time of your campaign

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Speaker 2: finance case, which I did.

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Speaker 3: Yes, you did, and you were very excited because they

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Speaker 3: were like yeah, you're yeah, They're going to come to

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Speaker 3: the house to do a photo shoot. And you were

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Speaker 3: getting all dulled up for this photo shoot, and I

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Speaker 3: was like, well, and then you even said, oh yeah.

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Speaker 3: The woman that interviewed you felt really bad. She went

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Speaker 3: to the facility where you had you your overnight confinement

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Speaker 3: and she was like, oh, this is so horrible.

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Speaker 2: Well, let me give you the basis for me saying

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Speaker 2: those things. So the longtime editor of The New Republic

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Speaker 2: in the eighties and nineties was a guy named Marty Perretz.

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Speaker 2: He was a Harvard professor and a very smart guy.

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Speaker 2: And I had sent him a Liberal Education and he

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Speaker 2: loved it, and he did a blurb for it in

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Speaker 2: the back of the book. And I saw him subsequently

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Speaker 2: at various events and he was like, oh, manness, she

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Speaker 2: was so eloquent. So I knew that he, even though

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Speaker 2: at liberal by the way, was a fan of my work.

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Speaker 2: So the reporter was his daughter, a Genia parents and

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Speaker 2: she told me, She's like, I went to my dad

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Speaker 2: and I told him, what do you make of Danesh?

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Speaker 2: And she said, my dad told me he's a good guy.

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Speaker 2: Treat him fairly, you know. And so she told me

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Speaker 2: all this and I was like, okay, well, look, agenya

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Speaker 2: is a liberal. She is going to give it a

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Speaker 2: liberal spin, but I think she will not do the

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Speaker 2: kind of vicious mirror that Vanity Fair is actually known for.

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Speaker 2: So I knew the reputation of Vanity Fair. And and

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Speaker 2: then of course, remember we got to know the guy

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Speaker 2: who did the photo shoot. Yeah, and not only easy

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Speaker 2: a famous like LA photographer, but he's actually conservative. Yeah,

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Speaker 2: and he made me look really good in those photos.

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Speaker 3: They were amazing photos.

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Speaker 2: Yeah, we have we have one or two frame oh.

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Speaker 3: Yeah, yeah. But I didn't think the article was fair.

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Speaker 2: The article was not fair.

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Speaker 3: So Vanity not so fair.

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Speaker 2: Yeah. Well, the thing is also what our expectations are.

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Speaker 2: I expected a somewhat negative article, and so it was negative,

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Speaker 2: but it wasn't. It wasn't the kind of smear that

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Speaker 2: we've seen Vanity Fair do.

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Speaker 3: Yeah. Yeah, well, I mean look recently, Vanity Fair did

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Speaker 3: this with Susie Wells, and I believe that they that

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Speaker 3: their main goal was to make the Trump administration look

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Speaker 3: as crazy and as silly as possible, and so you know,

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Speaker 3: they wanted to get all these people in there. You know,

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Speaker 3: I guess it was JD. Vance. Did they interview JD?

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Speaker 2: No? But they what they did was they got Susie Wilds,

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Speaker 2: and she said some negative things about other people, but

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Speaker 2: I think the one on JD was the most damaging,

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Speaker 2: where she basically goes he's been a conspiracy theorist for

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Speaker 2: ten years, which is a kind of a degrading thing

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Speaker 2: to say about the vice president. Now, she might say

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Speaker 2: I said it in a funny way, or I didn't

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Speaker 2: mean it.

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Speaker 3: Well, she did say that they took a lot of

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Speaker 3: things out of context, which they're known to do to

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Speaker 3: me too.

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Speaker 2: In fact, that should be expected because the way these

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Speaker 2: guys work is also, why.

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Speaker 3: Do you why do other conservatives even bother going on

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Speaker 3: that magazine if it's going to be a hit job.

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Speaker 2: Well, I think the situation now is different than it

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Speaker 2: was even ten years ago, which is about when I

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Speaker 2: did it, right, my case was in twenty thirteen. I

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Speaker 2: think I did that article twenty fourteen or fifteen. Okay,

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Speaker 2: so in twenty fourteen, the liberal media reigned. They control

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Speaker 2: the discourse, and so here was the point. They're gonna

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Speaker 2: smear you anyway, So either they near you straight out,

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Speaker 2: or they have quotes from you in which you point

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Speaker 2: out some counterpoints. But see that has a risk because

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Speaker 2: then it sounds like you cooperated against. So I suppose

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Speaker 2: a prudent thing to do is just not to comment, right.

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Speaker 2: But a lot of US conservatives were in this awkward

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Speaker 2: position of trying to do a certain amount of damage

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Speaker 2: control by giving quote the other side. That's how the

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Speaker 2: liberal would play on it. Hey, we want to hear

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Speaker 2: your side right now. I don't think that that situation

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Speaker 2: applies now. There's no reason for if the Trump people

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Speaker 2: were like, this is going to be a negative article.

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Speaker 2: They're going to take stuff out of context. You don't

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Speaker 2: need it, you don't need their audience. Nobody cares who

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Speaker 2: Vanity Fair audience is not going to vote for Trump,

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Speaker 2: and they're not going to vote for Republicans.

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Speaker 3: Yeah, so why did they do it?

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Speaker 2: Well, I'm just thinking that there are two possibilities. I mean,

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Speaker 2: one is, as you know, a lot of these Trump people,

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Speaker 2: Trump included, are obsessed with popular culture, and Vanity Fair

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Speaker 2: has been that iconic magazine of popular culture. So I

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Speaker 2: think they look at Vanity Fair different than the New

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Speaker 2: York Times. Vanity Fair then belongs more with like Conan

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Speaker 2: O'Brien and the Hollyween. It is the same ideologic same,

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Speaker 2: not only one of the same. It's even worse in

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Speaker 2: some ways because these entertainment writers are completely unhinged from

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Speaker 2: political reality. Even the New York Times has got to

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Speaker 2: stay somewhat like anchored or tethered to political reality. These

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Speaker 2: people really don't. They say whatever they want. So yes,

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Speaker 2: I'm not surprised that they did an attack. And also

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Speaker 2: their idea of fact checking is not a context or

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Speaker 2: overall veracity. They're like, if the quotes match the things

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Speaker 2: you said, the article has been fact checked, and we're

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Speaker 2: all good to go, right, Whereas you and I know

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Speaker 2: and everybody knows, you can take a handful of accurate quotes,

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Speaker 2: embed them in a context and completely completely distorting a misleading.

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Speaker 2: So I think in this case, you get what you

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Speaker 2: signed up for. You know, you do these interviews, you're

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Speaker 2: going to get a smear. You should expect a smear.

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Speaker 2: You cannot play dumb or play naive afterward to go,

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Speaker 2: oh they smeared me.

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Speaker 3: No, you should expect it, or just not do it, or.

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Speaker 2: Just or just not not do it. Okay, guys, this

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Speaker 2: We're going to travel well intellectually to Australia and Bondi

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Speaker 2: Bondai Beach. I've been saying Bondi Beach, but I guess

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Speaker 2: it is Bondai Beach. We were in Sydney, but we

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Speaker 2: didn't make it to Bondai Beach and it's apparently a

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Speaker 2: very partying place. We probably missed out.

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Speaker 3: We missed out a lot.

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Speaker 2: We probably could have.

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Speaker 3: You know how much we loved a party.

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Speaker 2: Well, we probably could have drunk those tall beer things

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Speaker 2: that are like a foot high that the Australians love.

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Speaker 2: Australians love beer. They they love beer. Beer is their thing.

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Speaker 2: Beer and the barbecue is But.

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Speaker 3: Their food is so delicious. I don't know why they

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Speaker 3: eat that stuff. Why don't they just eat the normal stuff.

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Speaker 2: They like the shrimp on the barbie, they like the

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Speaker 2: they like the cookout idea. I think it's because they're outdoor,

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Speaker 2: a little bit like Texas.

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Speaker 3: You know, it's a lot like Texas. Actually, you know

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Speaker 3: a lot and the people, some of the people are very.

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Speaker 2: Much for We met sort of blue collary guys in

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Speaker 2: Australia and we were almost thunderstruck at how they resembled

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Speaker 2: the rural Texan.

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Speaker 3: Yeah.

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Speaker 2: They they were almost the same.

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Speaker 3: Yeah, well we're getting off track a little bit.

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Speaker 2: Okay, back to so talk about this is the let's

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Speaker 2: talk about the terror. Yeah, you've got you've got a

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Speaker 2: father and son duo. Yes, evidently did you tell me Afghans?

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Speaker 3: They are I don't know if they were Afghan but

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Speaker 3: they were definitely linked to ISIS. They had an ISIS

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Speaker 3: flag in their car. Oh yeah, so these are real,

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Speaker 3: real terrorists, terrists.

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Speaker 2: Yeah. Yeah, yeah. And what they do is they go

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Speaker 2: up on the bridge, they just open fire.

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Speaker 3: Yeah.

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Speaker 2: And you know, even though it seems I shouldn't say

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Speaker 2: only ten, but Australia is a small country. Yeah, it's

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Speaker 2: what twenty five.

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Speaker 3: Million has like thirty million people the.

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Speaker 2: Whole country, So it's one tenth.

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Speaker 3: Yeah, it's the size of the United States with the

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Speaker 3: population of Texas.

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Speaker 2: Right, And so the way I think about it is,

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Speaker 2: I do the math, right, if we have twelve times

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Speaker 2: the population of Australia. You've got to take let's say

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Speaker 2: ten people multiply by twelve. It's kind of like one

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Speaker 2: hundred and twenty people in America being killed, which would

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Speaker 2: cause an incredible fire star incredible. Yeah, and so Australia

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Speaker 2: is really In fact, we were communicating with our friend

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Speaker 2: in Australia who brought us over for the lecture tour

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Speaker 2: with Talker a year or so, a year and a

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Speaker 2: half now, I guess ago and he was like, I

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Speaker 2: can't think of anything else right now except Wanda, because

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Speaker 2: it has it has burned itself into the psyche of

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Speaker 2: the Australian. Yes, I think the Australians you made an

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Speaker 2: observation about them. They're sort of living in the nineteen eighties.

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Speaker 2: They are, so they're in a little more innocent frame

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Speaker 2: of mind than even America. Yes, we've gone through a

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Speaker 2: lot of political trauma. We've had police date, we've had Obama,

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Speaker 2: we've had nine to eleven. I think the average American

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Speaker 2: is more jaded.

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Speaker 3: They had a terrorist attack in nineteen ninety six, I

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Speaker 3: believe in Australia. Australia did that was before this one,

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Speaker 3: the worst that they had. So it's been a long time.

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Speaker 3: But also Australians are very very nice people, and even

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Speaker 3: the go of Australia, I don't think. I don't think

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Speaker 3: there is far off the you know, the spectrum. Like

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Speaker 3: we are very polarized, They're somewhat polarized, but I don't

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Speaker 3: think they're as polarized as we are today in America.

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Speaker 2: No, the debate there and we've seen, we've been close

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Speaker 2: up and been able to see a fair amount of it.

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Speaker 2: It does resemble the debate in America like circa nineteen

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Speaker 2: ninety seven. Yeah, it's kind of the way we talked

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Speaker 2: about Clinton. I mean, it was harsh, but it didn't

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Speaker 2: have the the bitterness, yeah, the very sort of acrid

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Speaker 2: edge that today's discourse has in America. And so the

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Speaker 2: Prime Minister, by the way, is a leftist, albun Asy.

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Speaker 2: I was hearing him talk about this and he was

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Speaker 2: basically I don't think he was actually acting shocked. He

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Speaker 2: was genuinely shocked and he's like, there's no place for

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Speaker 2: this in Australia. But again, the only way he could

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Speaker 2: understand it was we have a lot of we have

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Speaker 2: some extremist tendencies in our society, and for him the

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Speaker 2: extremist tendencies were not appointing to radical Islam. They're like,

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Speaker 2: we've got some extremist tendencies in various pockets of society.

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Speaker 2: We need to clamp down.

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Speaker 3: I think this is this is a kind of the

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Speaker 3: Achilles Heel of the West, because the West does not

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Speaker 3: understand Islam, period, even in America. Even in America, you

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Speaker 3: remember that case Washington versus Ali and Ali and the

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Speaker 3: verdict there was was a verdict of like, well, you know,

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Speaker 3: he in.

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Speaker 2: What the case was. It was apparently an attempted honor

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Speaker 2: where a father was trying to choke his daughter. It

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Speaker 2: was ultimately pulled away from her, but not because he

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Speaker 2: had second thoughts. He was trying to go ahead, right,

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Speaker 2: and the mom was at least okay with it, if

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Speaker 2: not in on it. And they were tried and for

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Speaker 2: the jury and even for the judge, I think the

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00:20:00,040 --> 00:20:03,119
Speaker 2: old case was, well, this is like domestic violence. This

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Speaker 2: is sort of like a like a parent who applies

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Speaker 2: too much discipline to a child.

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Speaker 3: And your point is what my point is, that is

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Speaker 3: not the that that is not the motive behind this.

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Speaker 2: That's not what's going on.

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Speaker 3: That's not what's going on. And if Americans don't understand

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Speaker 3: Islam and don't understand the well the Qoran and what

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Speaker 3: it says and and what they believe, then we're gonna

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Speaker 3: naively always do this kind of thing. We're never going

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Speaker 3: to really get to the root of the problem. And

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Speaker 3: we you know, we've had terrorist attacks. I mean, we

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Speaker 3: had one in in New Orleans. How long ago is

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Speaker 3: that where where the guy drove his truck and killed

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Speaker 3: a bunch of people and he was screaming all a

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Speaker 3: laha wakbar there. That was a terrorist attack.

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Speaker 2: Uh.

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Speaker 3: And of course most recently we had that the two

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Speaker 3: uh uh.

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Speaker 2: Covered Washington, Washington d two guys ago into this embassy.

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Speaker 3: National Guard guy.

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Speaker 2: There are so many incidents like them apart.

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Speaker 3: The Free Palestine guy was not Islamic. He was Hispanic,

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Speaker 3: but he was he was deranged and he believed that,

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Speaker 3: you know, Palestine the whole that whole thing, right, So

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Speaker 3: he was a leftist.

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Speaker 2: He was a leftist. But but but but I would

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Speaker 2: you know, while he wasn't Islamic, because of the Red

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Speaker 2: Green Alliance. Yes, this ideology, the Islamic ideology permea leads

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Speaker 2: into the left and so you have non Muslims who

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Speaker 2: accept at least some of it.

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Speaker 3: Yeah. Well, and then and that's just it. We have

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Speaker 3: to we have to understand Islam. We have to understand

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Speaker 3: why some people that are Islamic Muslim do what they

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Speaker 3: do and believe what they believe.

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Speaker 2: I mean, we've seen articles in America where someone shouts

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Speaker 2: a lahu akbar, then performs an act of terrorism with

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Speaker 2: a knife or with a gun, and the headline is

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00:21:59,320 --> 00:22:03,160
Speaker 2: man killed another man. Motive unknown, because I think from

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Speaker 2: the journalist point of view, and maybe they're just being

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Speaker 2: openly deceptive. But the other possibility is that they are, like,

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Speaker 2: just because he shouted a lot huakbar, doesn't tell you

401
00:22:12,080 --> 00:22:15,639
Speaker 2: what his motive is, even though of course it does.

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Speaker 2: Does it could make it for clear. Yeah, it's almost

403
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Speaker 2: like advertising his motive. And then you've got these journalists

404
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Speaker 2: who refuse to believe what people are even saying. Yeah, right,

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Speaker 2: so all right, let's move on to we have the

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Speaker 2: subject of Trump's tweet, and it's part of the larger

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Speaker 2: subject of the you know, the very sad, tragic murder

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Speaker 2: of Rob Reiner and his wife by their wayward and

409
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Speaker 2: evidently deeply disturbed son, and now Trump in classic Trumpian fashion.

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Speaker 2: He didn't have to go there, but he goes there,

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Speaker 2: and he kind of, I would say, makes it about himself.

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Speaker 3: He shouldn't gone there.

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Speaker 2: Yeah, he correctly points out that Rob Reiner suffered from

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Speaker 2: major ted Yeah, but I.

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Speaker 3: Don't think that was the time or the place to

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Speaker 3: say that. I really don't because why because well, first

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Speaker 3: of all, this man was brutally murdered by his deranged

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Speaker 3: son and his wife. They were killed in a horrible,

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Speaker 3: horrible way. And by the way, when when Charlie Kirk

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Speaker 3: was shot, Rob Reiner actually stood up for Charlie Kirk.

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Speaker 3: I mean, he didn't.

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Speaker 2: Say a very He made a video that was actually

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Speaker 2: a little out of step with liberal jubilation the incident. Rue.

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Speaker 3: So so he you know so, And from from what

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Speaker 3: I hear, he seemed to be a nice person. Besides

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Speaker 3: the Trump derangement syndrome thing that he had going on,

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Speaker 3: he seemed to be a nice person. But like, like

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Speaker 3: I said, like I told you yesterday, I don't care

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Speaker 3: when somebody dies and they're you know, left right Democrats,

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Speaker 3: Republican whatever, and they're killed with such brutality by their

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Speaker 3: own child, I like I ache for them, like I

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Speaker 3: don't care what they are or did or whatever.

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Speaker 2: The saying, you have a human being, and you have

434
00:24:15,680 --> 00:24:19,320
Speaker 2: a father and a mother who obviously knew that they

435
00:24:19,320 --> 00:24:21,640
Speaker 2: had a disturbed kid. They were trying to do their

436
00:24:21,680 --> 00:24:25,960
Speaker 2: best to keep the kid in line. They trusted him

437
00:24:25,960 --> 00:24:27,920
Speaker 2: to the degree that they obviously let him in.

438
00:24:28,000 --> 00:24:31,160
Speaker 3: And we even talked about they were older parents because

439
00:24:31,359 --> 00:24:33,360
Speaker 3: because he was thirty two years old and they were

440
00:24:33,359 --> 00:24:35,919
Speaker 3: in their seventies. Yeah, wasn't he you know, he was

441
00:24:35,960 --> 00:24:38,680
Speaker 3: seventy eight, Yeah, but the it doesn't matter the man. Yeah,

442
00:24:38,720 --> 00:24:41,240
Speaker 3: but she was seventy, so she was an older mother.

443
00:24:41,560 --> 00:24:44,520
Speaker 3: She met her kids in her forties, right, so you

444
00:24:44,560 --> 00:24:48,480
Speaker 3: know they yes, they were very wealthy, and they probably

445
00:24:48,520 --> 00:24:51,359
Speaker 3: spoiled their kids like any other parent that has money

446
00:24:51,400 --> 00:24:52,679
Speaker 3: spoils their kid, you know.

447
00:24:53,320 --> 00:24:56,800
Speaker 2: And so so part of it is the very twisted

448
00:24:57,040 --> 00:25:04,000
Speaker 2: lifestyles of Hollywood. And so you have deadbeats galore, you know,

449
00:25:04,119 --> 00:25:08,880
Speaker 2: playboys galore. Some people would say pedophiles glory. I don't

450
00:25:08,920 --> 00:25:10,480
Speaker 2: know that for a fact, but you certainly have a

451
00:25:10,480 --> 00:25:14,359
Speaker 2: lot of twisted behavior. And now it doesn't look like

452
00:25:14,440 --> 00:25:16,800
Speaker 2: Rob Reiner or his wife were themselves part of any

453
00:25:16,840 --> 00:25:20,159
Speaker 2: of that, but they were probably surrounded by it. They

454
00:25:20,200 --> 00:25:26,200
Speaker 2: were probably fairly accepting of it, and they probably tolerated

455
00:25:26,200 --> 00:25:28,760
Speaker 2: a fair amount of it in their son. So but

456
00:25:28,840 --> 00:25:31,240
Speaker 2: you're saying even so, even.

457
00:25:31,080 --> 00:25:34,159
Speaker 3: So, but so back to his tweet, I think he

458
00:25:34,240 --> 00:25:36,960
Speaker 3: could have just said, even though Rob Reiner and I

459
00:25:37,000 --> 00:25:40,640
Speaker 3: didn't see I, even though he hated my guts, I'm

460
00:25:40,680 --> 00:25:44,159
Speaker 3: really sorry that that they went down this way. You know,

461
00:25:44,400 --> 00:25:46,560
Speaker 3: period ended boom right there?

462
00:25:46,920 --> 00:25:49,840
Speaker 2: Yeah, that well. I mean we often say that you

463
00:25:49,880 --> 00:25:52,840
Speaker 2: are a traditional Republican, and that is in fact the

464
00:25:52,920 --> 00:25:55,000
Speaker 2: traditional Republican reaction.

465
00:25:55,200 --> 00:25:56,080
Speaker 3: I'm a Christian.

466
00:25:56,600 --> 00:25:58,600
Speaker 2: Yeah, No, I know. I'm not saying you're wrong. I'm

467
00:25:58,600 --> 00:26:01,399
Speaker 2: not saying you're wrong about it. I think that even

468
00:26:01,440 --> 00:26:04,800
Speaker 2: some of the Trump defenders, and I saw some of them,

469
00:26:04,800 --> 00:26:08,440
Speaker 2: were like, Okay, this may not have been the best tweed,

470
00:26:08,560 --> 00:26:11,000
Speaker 2: but guess what, we're not gonna get We're not gonna

471
00:26:11,040 --> 00:26:14,600
Speaker 2: get into a pretzel trying to apologize for it. We're

472
00:26:14,680 --> 00:26:18,640
Speaker 2: just gonna let it go. Given that Trump does this stuff,

473
00:26:18,960 --> 00:26:21,119
Speaker 2: and not only that, it's it's kind of pointless to

474
00:26:21,200 --> 00:26:22,240
Speaker 2: try to reform me.

475
00:26:22,440 --> 00:26:24,720
Speaker 3: You get it, I get it. You can't. And a

476
00:26:24,800 --> 00:26:27,320
Speaker 3: lot of people are like, who does his social media

477
00:26:27,440 --> 00:26:29,640
Speaker 3: Why didn't they stop him? Why did they.

478
00:26:29,600 --> 00:26:30,199
Speaker 2: Let him do it?

479
00:26:30,240 --> 00:26:32,800
Speaker 3: And I'm like, you don't know Trump, you don't.

480
00:26:32,640 --> 00:26:35,360
Speaker 2: Know, right, he is in fact the author of this,

481
00:26:35,960 --> 00:26:38,720
Speaker 2: and no one is gonna say you can't do that. No,

482
00:26:38,920 --> 00:26:40,959
Speaker 2: I mean, I think this is what's interesting is that

483
00:26:40,960 --> 00:26:42,600
Speaker 2: in the this is a way in which I think

484
00:26:42,960 --> 00:26:46,480
Speaker 2: a small way, but a significant way in which the

485
00:26:46,520 --> 00:26:49,119
Speaker 2: second Trump term is different than the first. In the

486
00:26:49,119 --> 00:26:51,720
Speaker 2: first Trump term, there were people who tried, they kept

487
00:26:51,720 --> 00:26:54,159
Speaker 2: trying to corral Trump, which I think in general is

488
00:26:54,200 --> 00:26:56,560
Speaker 2: a bad idea. In fact, I think one of the

489
00:26:56,600 --> 00:26:59,560
Speaker 2: reasons Trump likes Susie Wilds and he's he defended Susie

490
00:26:59,600 --> 00:27:02,240
Speaker 2: Wilds and after the Vanity Fair in an interview I

491
00:27:02,320 --> 00:27:06,640
Speaker 2: Susie was even says in the article, if I disagree

492
00:27:06,680 --> 00:27:13,080
Speaker 2: with Trump, he wins. Meaning my job is too, in

493
00:27:13,119 --> 00:27:16,240
Speaker 2: the very positive sense of the term, be an enabler.

494
00:27:16,480 --> 00:27:18,560
Speaker 2: I have to My job as chief of staff is

495
00:27:18,560 --> 00:27:22,520
Speaker 2: to enable the president to do his thing, which is

496
00:27:22,520 --> 00:27:25,000
Speaker 2: actually true. I mean, there's something unhealthy if you have

497
00:27:25,040 --> 00:27:27,399
Speaker 2: a group of staffers who go My job is to

498
00:27:27,520 --> 00:27:30,800
Speaker 2: constrain the president in what he wants to do and

499
00:27:30,920 --> 00:27:33,480
Speaker 2: make him do what I want to do because that

500
00:27:33,560 --> 00:27:35,800
Speaker 2: I mean that right there is a little problematic from

501
00:27:35,840 --> 00:27:38,159
Speaker 2: the democratic framework. We elected Trump not you.

502
00:27:38,560 --> 00:27:41,800
Speaker 3: Well that and that's also what happened with with Biden.

503
00:27:42,400 --> 00:27:43,919
Speaker 2: With Biden, it's just taken to a.

504
00:27:45,400 --> 00:27:50,840
Speaker 3: To a unbelievable level. They were controlling Biden.

505
00:27:51,960 --> 00:27:53,679
Speaker 2: Hey, by the way, did you hear this is not

506
00:27:53,840 --> 00:27:56,320
Speaker 2: on our list? But I think it's well worth mentioning.

507
00:27:56,520 --> 00:28:00,640
Speaker 2: Biden is apparently having major problems raising money for his

508
00:28:00,680 --> 00:28:04,680
Speaker 2: presidential library. He set a goal of like one hundred

509
00:28:04,760 --> 00:28:07,240
Speaker 2: or two hundred million dollars. By the way, Obahama's raised

510
00:28:07,280 --> 00:28:10,000
Speaker 2: like six times that or five times that, and Biden

511
00:28:10,119 --> 00:28:15,200
Speaker 2: is like at eleven million right now. So my suggestion

512
00:28:15,640 --> 00:28:18,520
Speaker 2: was that you skip goss aside the idea of the

513
00:28:18,560 --> 00:28:22,520
Speaker 2: library and just have a large symbolic auto pen. It

514
00:28:22,560 --> 00:28:24,800
Speaker 2: is made out of hard plastic like a real pen.

515
00:28:25,359 --> 00:28:28,800
Speaker 2: And that's the that's the Biden legacy right there. Yeah,

516
00:28:29,000 --> 00:28:30,040
Speaker 2: resident autop.

517
00:28:29,840 --> 00:28:31,879
Speaker 3: How do you do a library with a man that

518
00:28:32,000 --> 00:28:33,720
Speaker 3: was absent for years?

519
00:28:34,200 --> 00:28:36,919
Speaker 2: You know, I know, maybe maybe Biden's mind could be

520
00:28:37,000 --> 00:28:38,400
Speaker 2: represented by an empty.

521
00:28:38,160 --> 00:28:41,520
Speaker 3: Room that would be an eleven million dollar big room.

522
00:28:41,640 --> 00:28:44,200
Speaker 2: Well I mean about that is it doesn't cost much right,

523
00:28:44,240 --> 00:28:47,520
Speaker 2: there's nothing in the room. It's just vacant.

524
00:28:47,680 --> 00:28:51,320
Speaker 3: Yeah, it says you know, it says Biden wrote a

525
00:28:51,440 --> 00:28:55,280
Speaker 3: presidential library, and you're like, oh, you walk in and

526
00:28:55,320 --> 00:28:56,840
Speaker 3: it's an empty room.

527
00:28:57,040 --> 00:28:59,000
Speaker 2: And not only that, but remember those old joke books

528
00:28:59,000 --> 00:29:01,080
Speaker 2: that you could buy. This now goes back to like

529
00:29:01,120 --> 00:29:03,400
Speaker 2: the nineties. You could buy one of these books, like

530
00:29:03,520 --> 00:29:07,400
Speaker 2: important Thoughts from President Clinton, and then you realize the

531
00:29:07,400 --> 00:29:10,160
Speaker 2: whole book is empty. There are no important thoughts. This

532
00:29:10,280 --> 00:29:14,239
Speaker 2: applies quite literally to Biden. You know, this is the

533
00:29:14,280 --> 00:29:18,920
Speaker 2: Biden record of what Biden, a chronicle of the things

534
00:29:18,920 --> 00:29:19,960
Speaker 2: that Biden himself.

535
00:29:20,000 --> 00:29:22,560
Speaker 3: Do you think Biden is actually the one pushing for

536
00:29:22,600 --> 00:29:25,400
Speaker 3: this library? Do you think it's doctor Jill Biden?

537
00:29:25,920 --> 00:29:28,240
Speaker 2: Oh yeah, I'm sure it's the people around Biden.

538
00:29:28,360 --> 00:29:30,479
Speaker 3: I don't think Biden. I don't think he cares. He

539
00:29:30,520 --> 00:29:32,760
Speaker 3: probably doesn't even know he's not president anymore.

540
00:29:33,880 --> 00:29:34,080
Speaker 1: Right.

541
00:29:34,160 --> 00:29:37,560
Speaker 2: Remember Trump's idea from a few years ago, which is

542
00:29:37,640 --> 00:29:42,120
Speaker 2: do or was this our idea? Sometimes I forget what

543
00:29:42,160 --> 00:29:44,640
Speaker 2: the genesis of these ideas are, but the idea was,

544
00:29:45,200 --> 00:29:48,560
Speaker 2: even when Biden was president, remove him from the White House,

545
00:29:49,120 --> 00:29:53,120
Speaker 2: relocate him to a replica of the White House, where

546
00:29:53,160 --> 00:29:56,400
Speaker 2: he can honestly believe he is the president. People come

547
00:29:56,400 --> 00:29:59,320
Speaker 2: in and bring him documents to sign. It's all a charade.

548
00:29:59,360 --> 00:30:01,080
Speaker 2: He's not signing any real documents.

549
00:30:01,240 --> 00:30:02,720
Speaker 3: I think that's what actually happened.

550
00:30:03,840 --> 00:30:06,320
Speaker 2: That that's the actual record of the four years.

551
00:30:06,320 --> 00:30:06,720
Speaker 3: I think.

552
00:30:06,800 --> 00:30:09,360
Speaker 2: So, yeah, it's going to be really.

553
00:30:09,200 --> 00:30:11,000
Speaker 3: You remember it was the auto pen that did most

554
00:30:11,000 --> 00:30:11,640
Speaker 3: of the signing.

555
00:30:11,960 --> 00:30:14,880
Speaker 2: I don't know if we will be there to see it,

556
00:30:15,040 --> 00:30:18,440
Speaker 2: but historians are going to look back on this presidency

557
00:30:18,520 --> 00:30:21,520
Speaker 2: and they're going to wonder what really happened. I mean,

558
00:30:21,560 --> 00:30:23,960
Speaker 2: we were there, so we kind of know what happened,

559
00:30:24,400 --> 00:30:27,440
Speaker 2: but they're going to scratch their heads and go, was

560
00:30:27,480 --> 00:30:33,320
Speaker 2: it really the case the country was governed by a

561
00:30:33,520 --> 00:30:39,840
Speaker 2: non compost mentis not all there? I mean, this is

562
00:30:39,960 --> 00:30:42,920
Speaker 2: like the plot of being there right where you have

563
00:30:43,000 --> 00:30:45,680
Speaker 2: a guy chance the gardener. I guess he was called

564
00:30:46,040 --> 00:30:50,560
Speaker 2: Peter Sellers and we lived through that. Hard to believe,

565
00:30:50,600 --> 00:30:54,200
Speaker 2: but it was. It was put in place by the

566
00:30:54,240 --> 00:30:59,280
Speaker 2: other side for its own nefarious Michae Lindell will tell

567
00:30:59,320 --> 00:31:01,800
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609
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Speaker 3: All right, let's talk about we talked about the CNN article.

610
00:33:19,080 --> 00:33:20,880
Speaker 2: Let's talk about the cee An article because we're kind

611
00:33:20,920 --> 00:33:22,960
Speaker 2: of on that topic. And then can I have real

612
00:33:23,000 --> 00:33:24,480
Speaker 2: quick Yeah, the article's right here.

613
00:33:24,600 --> 00:33:28,200
Speaker 3: It made me so incredibly mad.

614
00:33:29,280 --> 00:33:34,000
Speaker 2: Trump tests the First Amendment a timeline I've already chuggled in.

615
00:33:34,160 --> 00:33:37,520
Speaker 2: I mean, it isn't you just read the read a

616
00:33:37,520 --> 00:33:40,280
Speaker 2: little bit because because you want people to get a

617
00:33:40,360 --> 00:33:44,680
Speaker 2: direct feel for the underlying like preposterous arrogance of this.

618
00:33:45,000 --> 00:33:48,680
Speaker 3: Yeah. Within weeks of retaking the White House, President Donald

619
00:33:48,680 --> 00:33:53,160
Speaker 3: Trump boasted that he had brought free speech back to America.

620
00:33:53,680 --> 00:33:56,640
Speaker 3: But since then, he has tested the limits of the

621
00:33:56,680 --> 00:34:02,280
Speaker 3: First Amendment time and time again, joaking alarm among civil

622
00:34:02,360 --> 00:34:06,760
Speaker 3: rights experts and his critics. The First Amendment protects the

623
00:34:06,760 --> 00:34:10,200
Speaker 3: freedom of religion, speech, and press, the right to peacefully assembly,

624
00:34:11,680 --> 00:34:14,520
Speaker 3: peaceful assembly, the right to petition the government for a

625
00:34:14,560 --> 00:34:18,360
Speaker 3: redress of grievances. It also bars the government from enacting

626
00:34:18,440 --> 00:34:24,560
Speaker 3: laws that prevent the free exercise of these rights. Nonetheless, nonetheless,

627
00:34:24,640 --> 00:34:29,560
Speaker 3: nonethe less through executive orders, lawsuits, and truth social posts.

628
00:34:29,640 --> 00:34:36,280
Speaker 3: The Trump administration has gone after protesters, universities, news organizations,

629
00:34:36,440 --> 00:34:40,400
Speaker 3: law firms, and speakers it doesn't agree with. And I

630
00:34:40,480 --> 00:34:45,280
Speaker 3: was like, where were they not just for the last

631
00:34:45,680 --> 00:34:50,480
Speaker 3: four years of Biden, but the previous for the previous

632
00:34:50,520 --> 00:34:54,960
Speaker 3: eight years of Obama, Like, why weren't they saying this then?

633
00:34:55,239 --> 00:34:58,759
Speaker 3: Because I tell you what, I saw more people go

634
00:34:58,880 --> 00:35:01,320
Speaker 3: to jail for what you know, because they didn't believe

635
00:35:01,360 --> 00:35:05,239
Speaker 3: in what the government was touting in these in those

636
00:35:05,920 --> 00:35:07,120
Speaker 3: I guess twelve years.

637
00:35:07,920 --> 00:35:11,800
Speaker 2: Yeight. So this is all I think about it, which

638
00:35:11,840 --> 00:35:17,359
Speaker 2: is that it's very natural for us to draw out

639
00:35:17,400 --> 00:35:21,160
Speaker 2: these double standards, right, And we draw out the double

640
00:35:21,200 --> 00:35:26,880
Speaker 2: standards to expose the fact that they are seemingly blind

641
00:35:27,440 --> 00:35:31,480
Speaker 2: to the greater violations on their own side, while they

642
00:35:32,040 --> 00:35:37,960
Speaker 2: passionately highlight the much more minuscule violations from our side. Right.

643
00:35:38,320 --> 00:35:41,520
Speaker 2: But here's my point. I think that their true position,

644
00:35:41,600 --> 00:35:44,920
Speaker 2: which they never state, is in fact different than this.

645
00:35:45,120 --> 00:35:49,239
Speaker 2: Their true position is that censorship should be allowed when

646
00:35:49,239 --> 00:35:51,719
Speaker 2: they do it, and not allowed when we do it.

647
00:35:52,600 --> 00:35:56,560
Speaker 2: They can shut down their opponents, but we can't. They

648
00:35:56,600 --> 00:36:00,439
Speaker 2: can stack the court, but we must not. If they

649
00:36:00,480 --> 00:36:03,800
Speaker 2: find that there's a dangerous Republican like Trump running for office.

650
00:36:04,360 --> 00:36:07,040
Speaker 2: They it's okay for them to try to find some

651
00:36:07,160 --> 00:36:09,799
Speaker 2: pretext and lock him up, whereas if we were to

652
00:36:09,840 --> 00:36:12,359
Speaker 2: do that, that would be so. So the way they

653
00:36:12,600 --> 00:36:16,960
Speaker 2: think about all this is their side, good are side evil.

654
00:36:17,520 --> 00:36:22,400
Speaker 2: So whatever evil people are doing should be condemned, whatever

655
00:36:22,440 --> 00:36:25,760
Speaker 2: the good people are doing should always be excused because

656
00:36:25,760 --> 00:36:28,440
Speaker 2: they're doing it in the name of some good. Why

657
00:36:28,440 --> 00:36:30,479
Speaker 2: are they locking up Trump because he's a bad guy.

658
00:36:30,520 --> 00:36:32,600
Speaker 2: He would ruin the country, and so of course you

659
00:36:32,600 --> 00:36:34,279
Speaker 2: want to lock him up to make the country better.

660
00:36:34,800 --> 00:36:38,640
Speaker 2: So that's their real position. So in some ways, for

661
00:36:38,800 --> 00:36:41,440
Speaker 2: us to highlight these double standards doesn't really get to

662
00:36:41,480 --> 00:36:44,680
Speaker 2: them because they don't believe in a single standard. They

663
00:36:44,719 --> 00:36:48,040
Speaker 2: don't believe in applying even standards to everybody. They don't

664
00:36:48,080 --> 00:36:51,479
Speaker 2: believe all men are created equal. They believe that your

665
00:36:51,520 --> 00:36:54,200
Speaker 2: camp is the bad team and art camp is a

666
00:36:54,239 --> 00:36:56,320
Speaker 2: good team. So we should be able to get away

667
00:36:56,360 --> 00:37:00,279
Speaker 2: with it, and you should be held accountable, regardless of

668
00:37:00,320 --> 00:37:02,600
Speaker 2: how minuscule your infractions.

669
00:37:02,680 --> 00:37:08,680
Speaker 3: And they own the megaphones of information. So when you

670
00:37:08,800 --> 00:37:12,759
Speaker 3: have an entity that owns the megaphones of information, the

671
00:37:12,800 --> 00:37:15,839
Speaker 3: information that comes out of those entities is always going

672
00:37:15,880 --> 00:37:18,960
Speaker 3: to be that side, and it's always going to say

673
00:37:19,000 --> 00:37:22,200
Speaker 3: we're the bad guys, even though that's we know that's

674
00:37:22,239 --> 00:37:26,120
Speaker 3: not the truth. We know which side is actually evil

675
00:37:26,160 --> 00:37:30,200
Speaker 3: and which side actually isn't evil. But because they own

676
00:37:30,520 --> 00:37:34,759
Speaker 3: the megaphones of information, we're kind of at a standstill.

677
00:37:35,000 --> 00:37:39,160
Speaker 2: Well, you have two camps on their side. On the

678
00:37:39,200 --> 00:37:42,520
Speaker 2: one hand, you have you would call it the manufacturers

679
00:37:42,680 --> 00:37:45,320
Speaker 2: of the lie, and that's the people who write these articles.

680
00:37:45,640 --> 00:37:49,160
Speaker 2: That's Jake Tapper, that's the editors of the New York Times.

681
00:37:49,440 --> 00:37:52,520
Speaker 2: These people actually they know the facts of the matter,

682
00:37:52,880 --> 00:37:58,759
Speaker 2: but they're going to selectively portray a very twisted and

683
00:37:58,840 --> 00:38:02,520
Speaker 2: spun narrative. Now you have the rank and file Democrat

684
00:38:02,680 --> 00:38:05,200
Speaker 2: who is in a different position, right because that guy

685
00:38:05,920 --> 00:38:10,279
Speaker 2: doesn't that guy honestly doesn't know what the Democrats did

686
00:38:10,360 --> 00:38:13,239
Speaker 2: in comparison to Trump. In fact, that guy has been

687
00:38:13,320 --> 00:38:17,560
Speaker 2: a consumer of CNN and all the other different NPR

688
00:38:18,239 --> 00:38:22,319
Speaker 2: and New York Times, Boston Globe, Washington Post. So if

689
00:38:22,360 --> 00:38:24,879
Speaker 2: you stop that guy on the street, he'll be like, oh, no,

690
00:38:24,920 --> 00:38:27,720
Speaker 2: we weren't censoring anybody. What are you even talking about?

691
00:38:28,000 --> 00:38:29,360
Speaker 2: And then if you say, well, what about all the

692
00:38:29,400 --> 00:38:32,520
Speaker 2: censorship on Twitter, He'll say, well, those are private platforms.

693
00:38:32,600 --> 00:38:35,560
Speaker 3: Yeah, yeah, what about all the people that went to jail.

694
00:38:35,440 --> 00:38:37,920
Speaker 2: Or were well, weren't they trying to throw the government?

695
00:38:38,160 --> 00:38:41,359
Speaker 2: So in other words, these are people who will spin back.

696
00:38:41,440 --> 00:38:43,919
Speaker 3: Can we do a movie called police state? We did

697
00:38:44,640 --> 00:38:46,920
Speaker 3: during what was a police state?

698
00:38:47,200 --> 00:38:50,360
Speaker 2: I mean, right? And and in fairness, we could not

699
00:38:50,480 --> 00:38:52,640
Speaker 2: make that movie about the Trump administration. And even the

700
00:38:52,680 --> 00:38:57,200
Speaker 2: examples you just gave things like his truth social posts, Well,

701
00:38:57,239 --> 00:38:59,719
Speaker 2: how does that how does that undermine anybody? Right?

702
00:38:59,800 --> 00:39:02,319
Speaker 3: Yeah? And this is what I got really mad when

703
00:39:02,360 --> 00:39:04,760
Speaker 3: I read this, because I was like, where were they

704
00:39:05,160 --> 00:39:08,000
Speaker 3: when they were shutting us up when we said the

705
00:39:08,040 --> 00:39:12,040
Speaker 3: election was stolen? We were we were being deep platformed

706
00:39:12,080 --> 00:39:14,480
Speaker 3: everywhere we couldn't say that.

707
00:39:14,840 --> 00:39:17,480
Speaker 2: I mean, they were locking up pro lifers. First speech,

708
00:39:17,920 --> 00:39:20,600
Speaker 2: What I think Bevelyn Beatty was doing if not free speech,

709
00:39:20,960 --> 00:39:23,760
Speaker 2: and yet she gets prosecuted under the Face Act. Yeah,

710
00:39:23,760 --> 00:39:27,120
Speaker 2: so they what they do is they redescribed the free speech.

711
00:39:27,239 --> 00:39:30,240
Speaker 2: She was really loud, she was in the wrong place,

712
00:39:30,320 --> 00:39:33,200
Speaker 2: she was standing behind the door. So we're not prosecuting

713
00:39:33,200 --> 00:39:36,760
Speaker 2: her for a speech or prosecuting her for her quote interference.

714
00:39:37,239 --> 00:39:40,239
Speaker 2: But where's the interference? What what did she do? They

715
00:39:40,239 --> 00:39:41,359
Speaker 2: made it up? They made they.

716
00:39:41,360 --> 00:39:43,879
Speaker 3: Made they make everything up. And then not only that,

717
00:39:44,360 --> 00:39:47,560
Speaker 3: but they it's it's like they're the biggest gas lighters

718
00:39:47,600 --> 00:39:50,160
Speaker 3: on the planet. Not only do they do they say

719
00:39:50,200 --> 00:39:55,759
Speaker 3: things like their unsubstantiated claim of voter fraud, you know,

720
00:39:56,000 --> 00:39:58,680
Speaker 3: like they already have established that it's not that it

721
00:39:58,719 --> 00:40:01,839
Speaker 3: didn't happen. And I mean, look at how they're trying

722
00:40:01,880 --> 00:40:04,840
Speaker 3: to destroy you on two thousand about two thousand mules.

723
00:40:04,880 --> 00:40:07,280
Speaker 2: Well, this came up in my debate with this Destiny

724
00:40:07,320 --> 00:40:11,720
Speaker 2: guy in Washington, DC, Steve Bonnell. And when two thousand

725
00:40:11,800 --> 00:40:13,959
Speaker 2: mules came up, so I said to him, I go, well,

726
00:40:14,040 --> 00:40:16,840
Speaker 2: do you accept the reliability of cell phone GEO tracking?

727
00:40:16,920 --> 00:40:19,759
Speaker 2: He goes, yeah, I do. And then I said, can

728
00:40:19,800 --> 00:40:24,239
Speaker 2: you give me a reason why someone would want to

729
00:40:24,320 --> 00:40:29,000
Speaker 2: go to ten or more drop boxes in the election season?

730
00:40:29,440 --> 00:40:31,520
Speaker 2: Even in the case so we are dropping off, let's

731
00:40:31,520 --> 00:40:34,040
Speaker 2: say some ballots for family members, you'd go to one

732
00:40:34,080 --> 00:40:35,920
Speaker 2: box and put all the ballots in. Why would you

733
00:40:35,960 --> 00:40:40,120
Speaker 2: go to multiple boxes and let alone ten? And this

734
00:40:40,280 --> 00:40:44,360
Speaker 2: Bonnell guy goes, well, are you talking about over like

735
00:40:44,760 --> 00:40:47,200
Speaker 2: a thirty day period or a sixty day period, and

736
00:40:47,239 --> 00:40:49,160
Speaker 2: I go yeah, and he goes, well, I can think

737
00:40:49,160 --> 00:40:52,040
Speaker 2: of lots of good reasons, and I go, well, name one.

738
00:40:52,400 --> 00:40:57,440
Speaker 2: And so apparently this guy didn't know that a mail

739
00:40:57,560 --> 00:41:01,800
Speaker 2: in dropbox is not a mailbox because he thought, well,

740
00:41:01,960 --> 00:41:05,680
Speaker 2: some old guy goes and males' his utility bill and

741
00:41:05,680 --> 00:41:08,040
Speaker 2: then he goes back in to another box and mails

742
00:41:08,040 --> 00:41:10,880
Speaker 2: as rent Jack. I know these were only for right.

743
00:41:11,000 --> 00:41:12,640
Speaker 2: So when I point this out, I could see the

744
00:41:12,680 --> 00:41:15,600
Speaker 2: panic in his eyes because essentially it was like, oh,

745
00:41:15,719 --> 00:41:19,080
Speaker 2: I didn't realize that these boxes are not for normal mail.

746
00:41:19,480 --> 00:41:20,640
Speaker 2: They're only for ballots.

747
00:41:20,680 --> 00:41:23,560
Speaker 3: And look, even if you let's say you don't have

748
00:41:23,640 --> 00:41:27,839
Speaker 3: the geo tracking, but you have the videos, right, we

749
00:41:27,920 --> 00:41:31,239
Speaker 3: know for a fact that these people that were in

750
00:41:31,320 --> 00:41:38,000
Speaker 3: those videos that had stacks of ballots right, multiple places, right,

751
00:41:38,040 --> 00:41:41,840
Speaker 3: because the video showed them in multiple places putting in

752
00:41:41,960 --> 00:41:45,000
Speaker 3: all these ballots. You know that's not legal.

753
00:41:45,160 --> 00:41:46,640
Speaker 2: Let's put it in right. Well, let's say at the

754
00:41:46,760 --> 00:41:50,960
Speaker 2: very least, this like screams for for their investigation.

755
00:41:51,120 --> 00:41:53,200
Speaker 3: Yeah, And that to me is the is the reason

756
00:41:53,200 --> 00:41:55,759
Speaker 3: that I am so upset because nothing was followed up.

757
00:41:55,840 --> 00:41:58,040
Speaker 2: Nothing was nothing was followed up. I do think that

758
00:41:58,080 --> 00:42:01,920
Speaker 2: the geo tracking is very damning on its own because

759
00:42:02,840 --> 00:42:05,440
Speaker 2: I mean, we know that look at these cases we've

760
00:42:05,480 --> 00:42:07,600
Speaker 2: been even talking about, how do you think they're tracking

761
00:42:07,600 --> 00:42:09,240
Speaker 2: these people? If not through cell phones?

762
00:42:09,320 --> 00:42:11,480
Speaker 3: Well they did that with January six ers.

763
00:42:11,520 --> 00:42:14,640
Speaker 2: And they did it with you know, what's his name,

764
00:42:14,719 --> 00:42:20,000
Speaker 2: Coburger in the Idaho case. Geotracking is has now become

765
00:42:20,120 --> 00:42:26,040
Speaker 2: the routine, If not they preferred way to monitor people's movements. Yeah, right,

766
00:42:26,080 --> 00:42:31,279
Speaker 2: and it's considered maybe not infallible, but it's not infallible

767
00:42:31,320 --> 00:42:33,080
Speaker 2: because it could be my phone and you could have

768
00:42:33,160 --> 00:42:36,120
Speaker 2: my phone, but the movement of the phone itself is

769
00:42:36,120 --> 00:42:37,120
Speaker 2: not open to dispute.

770
00:42:37,239 --> 00:42:37,760
Speaker 3: That's right.

771
00:42:38,040 --> 00:42:42,799
Speaker 2: All right. Yeah, let's talk about Venezuela. Venezuela, and let

772
00:42:42,840 --> 00:42:45,879
Speaker 2: me ask you this. Do you think you know you

773
00:42:45,920 --> 00:42:49,839
Speaker 2: have You have certainly lived the ten or eleven years

774
00:42:49,840 --> 00:42:53,280
Speaker 2: we've known each other in eager anticipation of what seems

775
00:42:53,320 --> 00:42:56,680
Speaker 2: to be happening. Now do you think it's going to happen?

776
00:42:57,560 --> 00:43:01,680
Speaker 3: I pray it does. Yeah, yeah, because it's it's it's now.

777
00:43:01,680 --> 00:43:03,439
Speaker 2: Or never, it is now or ever.

778
00:43:04,040 --> 00:43:04,239
Speaker 3: You know.

779
00:43:04,360 --> 00:43:08,880
Speaker 2: I was, I must confess I was a little disheartened

780
00:43:09,680 --> 00:43:13,560
Speaker 2: when Israel was on the verge of knocking out the

781
00:43:13,680 --> 00:43:16,600
Speaker 2: Mallahs in Iran, and I'm sure there were a lot

782
00:43:16,640 --> 00:43:19,760
Speaker 2: of Iranians who were like, Oh my gosh, it's coming,

783
00:43:20,080 --> 00:43:24,920
Speaker 2: it's coming, it's here. Oh oh, And then it's almost

784
00:43:24,920 --> 00:43:28,880
Speaker 2: like at the last minute. It happened. Also with Saddam Lussein,

785
00:43:28,920 --> 00:43:32,880
Speaker 2: if you remember, they chase him back to this is

786
00:43:32,920 --> 00:43:34,600
Speaker 2: by the way in the first Gulf War, and then

787
00:43:34,640 --> 00:43:37,399
Speaker 2: they let him go. Yeah, they let it be. And

788
00:43:37,560 --> 00:43:39,959
Speaker 2: similarly here and yeah.

789
00:43:39,960 --> 00:43:42,880
Speaker 3: But you know, when it comes to regime changes, and

790
00:43:42,920 --> 00:43:46,239
Speaker 3: I've told you this before, I'm not in favor of

791
00:43:46,320 --> 00:43:50,840
Speaker 3: regime changes when it's in Islamic country because it happens.

792
00:43:50,880 --> 00:43:55,120
Speaker 3: It so happens that usually it's.

793
00:43:54,800 --> 00:43:57,960
Speaker 2: Worse case in point in Syria, yes.

794
00:43:58,080 --> 00:44:03,120
Speaker 3: Usually cast in point Iraq.

795
00:44:03,719 --> 00:44:03,920
Speaker 1: You know.

796
00:44:04,080 --> 00:44:09,000
Speaker 2: So Adam was at the very look at look.

797
00:44:08,840 --> 00:44:14,160
Speaker 3: At uh what was the guy's name, Kadafi Libya and Libya.

798
00:44:14,239 --> 00:44:16,680
Speaker 3: I mean, look what happened there. So what I mean

799
00:44:16,840 --> 00:44:23,000
Speaker 3: is sometimes bad is better than the worst. You know.

800
00:44:23,400 --> 00:44:26,080
Speaker 2: That's the that's the that's the rule that Jimmy Carter

801
00:44:26,200 --> 00:44:31,479
Speaker 2: flagrantly ignored when he essentially helped to destabilize the Shah

802
00:44:32,400 --> 00:44:36,520
Speaker 2: and Carter's point of the Shaw is a bad guy. Well,

803
00:44:36,800 --> 00:44:40,560
Speaker 2: that's debatable, but let's say, let's concede the premise was

804
00:44:41,719 --> 00:44:43,640
Speaker 2: indisputably much much.

805
00:44:43,480 --> 00:44:46,759
Speaker 3: Worse, much worse. Yeah. So, but in Venezuela, because it's

806
00:44:46,800 --> 00:44:50,920
Speaker 3: not an Islamic country, it is a narco terrrist. It's

807
00:44:50,920 --> 00:44:57,240
Speaker 3: a narco terrorist situation here, and this man is vile, vile.

808
00:44:57,800 --> 00:45:01,440
Speaker 3: He has not only has he done horrific things to

809
00:45:01,480 --> 00:45:05,279
Speaker 3: his own people, but he's also a kind of an

810
00:45:05,440 --> 00:45:11,080
Speaker 3: enabler of cartels. You know, even even you know, drugs

811
00:45:11,080 --> 00:45:13,600
Speaker 3: that are coming into America. What about all the criminals

812
00:45:13,600 --> 00:45:17,120
Speaker 3: that came during the Biden administration, and because he let

813
00:45:17,200 --> 00:45:20,440
Speaker 3: them go, he let he actually enabled them to come

814
00:45:20,480 --> 00:45:23,880
Speaker 3: to America. He's done a lot of really bad things.

815
00:45:24,320 --> 00:45:28,279
Speaker 3: And Venezuela is a very good country to have as

816
00:45:28,320 --> 00:45:32,560
Speaker 3: an ally because of their natural resources and also just

817
00:45:32,600 --> 00:45:35,440
Speaker 3: because of the landing pad situation, right we.

818
00:45:35,840 --> 00:45:39,919
Speaker 2: It's kind of part of the Monroe Doctrine backyard. Yeah,

819
00:45:40,080 --> 00:45:43,239
Speaker 2: And I want to mention the fact that you know,

820
00:45:43,600 --> 00:45:46,920
Speaker 2: I'm thinking of the Javier Malay map where he shows

821
00:45:46,960 --> 00:45:52,080
Speaker 2: that the southern part of the continent has all gone conservative. Yes,

822
00:45:52,120 --> 00:45:54,800
Speaker 2: and it's now encroaching on the northern part of the continent,

823
00:45:54,880 --> 00:45:58,120
Speaker 2: which by the way, includes Brazil, it also includes Venezuela. Yeah,

824
00:45:58,160 --> 00:46:01,759
Speaker 2: so it would be very nice to start seeing the

825
00:46:01,800 --> 00:46:06,400
Speaker 2: northern part of the continent also going in the Maga direction.

826
00:46:07,080 --> 00:46:09,640
Speaker 3: It would it would be a dream serious, a dream

827
00:46:09,640 --> 00:46:12,680
Speaker 3: come true. I mean really, I can't even tell you.

828
00:46:13,719 --> 00:46:15,520
Speaker 2: But we'll see. Right, we're going to talk about the

829
00:46:15,520 --> 00:46:16,720
Speaker 2: Trump Kennedy Center.

830
00:46:17,160 --> 00:46:18,839
Speaker 3: Well do you want to talk about that because we

831
00:46:18,880 --> 00:46:20,279
Speaker 3: also have the camel coming up.

832
00:46:20,360 --> 00:46:22,520
Speaker 2: Well, let's do the Trump Kennedy Center briefly and then

833
00:46:22,520 --> 00:46:23,160
Speaker 2: we'll do the camera.

834
00:46:23,280 --> 00:46:26,759
Speaker 3: So the Trump Kennedy Center is hilarious because that is

835
00:46:27,000 --> 00:46:30,839
Speaker 3: one of Trump's greatest trolls, Trollax.

836
00:46:33,719 --> 00:46:34,319
Speaker 2: Kennedy Center.

837
00:46:34,440 --> 00:46:37,280
Speaker 3: No, it's funny because I heard his speech at the dinner,

838
00:46:37,400 --> 00:46:39,560
Speaker 3: the Kennedy Center Honors dinner. I was watching it the

839
00:46:39,560 --> 00:46:42,600
Speaker 3: other night. Yeah, and he said that, but as a

840
00:46:42,680 --> 00:46:45,200
Speaker 3: kind of a Freudian slip, he goes and the Trump

841
00:46:45,320 --> 00:46:48,560
Speaker 3: I mean the Kennedy you know, And so I kind

842
00:46:48,600 --> 00:46:52,680
Speaker 3: of because everybody chuckled. I kind of thought, I bet

843
00:46:52,719 --> 00:46:56,160
Speaker 3: you he's going to want to change the name, you thought, Yeah,

844
00:46:56,160 --> 00:46:58,480
Speaker 3: but he's put in a lot of his own money

845
00:46:58,520 --> 00:47:03,240
Speaker 3: to fix this center, his own money, not taxpayer money,

846
00:47:03,239 --> 00:47:07,160
Speaker 3: but his own. So you know it is fitting whenever

847
00:47:07,480 --> 00:47:10,480
Speaker 3: you know a donor gives a wing to a hospital, right,

848
00:47:11,560 --> 00:47:14,120
Speaker 3: get their name on the on the wings. Right, So

849
00:47:14,160 --> 00:47:15,160
Speaker 3: why not Trump?

850
00:47:15,719 --> 00:47:15,839
Speaker 2: Uh?

851
00:47:16,120 --> 00:47:17,840
Speaker 3: In fact, I would go further and I would just

852
00:47:17,880 --> 00:47:21,000
Speaker 3: say call it the Trump Center. Forget about the Kennedy.

853
00:47:21,040 --> 00:47:24,239
Speaker 2: Twenty twenty five. It's the Kennedy Center. Twenty twenty six,

854
00:47:24,239 --> 00:47:26,960
Speaker 2: It's the Trump Kennedy Center twenty twenty seven, It's the

855
00:47:27,000 --> 00:47:32,120
Speaker 2: Trump Center. Kennedy disappears. Yeah, yeah, right, yeah, all right,

856
00:47:32,160 --> 00:47:34,440
Speaker 2: talk about the Can we have the little art? I

857
00:47:34,440 --> 00:47:36,440
Speaker 2: gotta give you the article here. This is something that

858
00:47:36,520 --> 00:47:40,560
Speaker 2: you found. Oh and you were laughing about well, I

859
00:47:40,600 --> 00:47:42,400
Speaker 2: mean laughing and chuckling about it.

860
00:47:42,440 --> 00:47:45,279
Speaker 3: I want to apologize because, as you know, I am

861
00:47:45,320 --> 00:47:48,160
Speaker 3: a little Mamby Pamby and so I don't like making

862
00:47:48,200 --> 00:47:51,920
Speaker 3: fun of thing of people getting hurt. But I was

863
00:47:52,080 --> 00:47:57,080
Speaker 3: watching a clip on Facebook about a woman and this

864
00:47:57,200 --> 00:48:00,920
Speaker 3: is just crazy. A woman survives a camel kick.

865
00:48:02,760 --> 00:48:04,600
Speaker 2: Well, first of all, you know, if you one thing,

866
00:48:04,600 --> 00:48:06,759
Speaker 2: if the woman went to the zoo, or she was

867
00:48:06,760 --> 00:48:10,440
Speaker 2: on a Kenyan safari, or she was in the Kalahari desert.

868
00:48:10,920 --> 00:48:13,440
Speaker 2: But this is the women. It went to church. She

869
00:48:13,520 --> 00:48:15,200
Speaker 2: went to church and it was the megachurch.

870
00:48:15,480 --> 00:48:16,000
Speaker 3: It was amazing.

871
00:48:16,080 --> 00:48:18,160
Speaker 2: This was obviously one of these megachurches. It likes to

872
00:48:18,160 --> 00:48:20,800
Speaker 2: put on a spectacular display. And what did they have?

873
00:48:21,160 --> 00:48:24,799
Speaker 3: Yes, so basically it was a Christmas special that they had.

874
00:48:25,160 --> 00:48:27,960
Speaker 3: And you know how away in the manger you have

875
00:48:28,520 --> 00:48:31,279
Speaker 3: you have the kings, and you have the camels and

876
00:48:31,320 --> 00:48:35,319
Speaker 3: the horses and all that. Well, apparently, because this is

877
00:48:35,600 --> 00:48:40,239
Speaker 3: a really large church, you have aisles, and so the

878
00:48:40,360 --> 00:48:43,320
Speaker 3: kings and the pilgrims or whatever you call them. I

879
00:48:43,320 --> 00:48:46,080
Speaker 3: don't know pilgrims, but anyway, they were coming down the

880
00:48:46,120 --> 00:48:52,280
Speaker 3: aisle like a procession and here comes this very large camel,

881
00:48:52,880 --> 00:48:58,160
Speaker 3: a real camel, right, and so someone's videotaping it, and

882
00:48:58,360 --> 00:49:01,600
Speaker 3: all of a sudden, the hind leg of the camel

883
00:49:01,880 --> 00:49:05,880
Speaker 3: does this like soccer punch like boom to this woman.

884
00:49:05,960 --> 00:49:08,040
Speaker 3: And I don't know if it hid her face or what.

885
00:49:08,160 --> 00:49:11,440
Speaker 3: I couldn't see what. The video wasn't that clear, but

886
00:49:11,719 --> 00:49:15,279
Speaker 3: clearly she was knocked out cold and the people that

887
00:49:15,320 --> 00:49:19,120
Speaker 3: were around her knew this was happening. And this guy

888
00:49:19,280 --> 00:49:21,480
Speaker 3: was he even stood up because he was like he

889
00:49:21,520 --> 00:49:23,239
Speaker 3: got away from the camel. He didn't want to be

890
00:49:23,239 --> 00:49:24,400
Speaker 3: anywhere near that camel.

891
00:49:24,480 --> 00:49:25,080
Speaker 2: He's like me.

892
00:49:25,680 --> 00:49:28,480
Speaker 3: And so the person that's holding the or walking the

893
00:49:28,480 --> 00:49:31,080
Speaker 3: camel has no idea, but he's looking around like what's

894
00:49:31,120 --> 00:49:32,040
Speaker 3: going on? You know.

895
00:49:32,640 --> 00:49:34,279
Speaker 2: They're also with.

896
00:49:34,440 --> 00:49:37,880
Speaker 3: This disruption, had no idea his camel kicked anybody. And

897
00:49:37,920 --> 00:49:41,400
Speaker 3: the camel is just walking along, you know, almost like

898
00:49:41,400 --> 00:49:44,360
Speaker 3: like the sneaky brother that pitches his sibling and it

899
00:49:44,400 --> 00:49:47,760
Speaker 3: just keeps going, you know. Yeah, and so so anyway,

900
00:49:47,800 --> 00:49:52,520
Speaker 3: apparently this woman was was hurt. She was seriously hurt

901
00:49:52,520 --> 00:49:56,560
Speaker 3: by this camel, because apparently they're very strong, very very strong.

902
00:49:56,600 --> 00:50:00,960
Speaker 2: Camels are large animals. I mean I've ridden them occasionally,

903
00:50:01,120 --> 00:50:04,040
Speaker 2: and even getting on a camera, it's a very strange

904
00:50:04,080 --> 00:50:07,600
Speaker 2: experience because, as you know, the camel doesn't stand up straight.

905
00:50:08,280 --> 00:50:11,040
Speaker 2: What happened? So the camel is like this, and when

906
00:50:11,080 --> 00:50:13,680
Speaker 2: you sit on the camel, the first thing that happens

907
00:50:13,800 --> 00:50:17,239
Speaker 2: is their butts go like six feet up in the

908
00:50:17,280 --> 00:50:20,080
Speaker 2: air and you slide down to the front and then

909
00:50:20,120 --> 00:50:22,080
Speaker 2: the front part of the camera lifts up and you

910
00:50:22,120 --> 00:50:25,440
Speaker 2: slide back down to them. So it's a very now

911
00:50:25,640 --> 00:50:28,440
Speaker 2: then what then it's stabilizes and the camel is good

912
00:50:28,520 --> 00:50:31,520
Speaker 2: to go. But the camel does not rise.

913
00:50:32,880 --> 00:50:36,200
Speaker 3: Very strange animal strange animal, strange looking. But anyway, so

914
00:50:36,280 --> 00:50:36,960
Speaker 3: back to this woman.

915
00:50:37,320 --> 00:50:39,840
Speaker 2: That's why, that's why the old saying that a camel

916
00:50:40,000 --> 00:50:46,600
Speaker 2: is a horse designed by a committee. Yeah, it's like

917
00:50:46,600 --> 00:50:49,160
Speaker 2: when you get a committee, they take a horse, so

918
00:50:49,280 --> 00:50:52,040
Speaker 2: it gets it. Yeah, this is what you end up with.

919
00:50:53,719 --> 00:50:58,480
Speaker 3: Yeah, well, apparently the camel, very large, very strong, sends

920
00:50:58,520 --> 00:51:01,680
Speaker 3: this woman to the hospital. They they literally the ambulance

921
00:51:01,719 --> 00:51:06,600
Speaker 3: comes during the performance. The ambulance comes, picks up this lady,

922
00:51:06,640 --> 00:51:07,279
Speaker 3: takes her to the.

923
00:51:07,200 --> 00:51:10,239
Speaker 2: Hospital, and the pastor goes. It's a small price to

924
00:51:10,280 --> 00:51:14,680
Speaker 2: play for this great celebration, this this great extravaganza.

925
00:51:15,000 --> 00:51:19,520
Speaker 3: I mean really, so my thought is this, Okay, you

926
00:51:19,560 --> 00:51:23,560
Speaker 3: can actually have people dress up like camels. I've seen

927
00:51:23,600 --> 00:51:25,759
Speaker 3: that before where there's a person in the front of

928
00:51:25,840 --> 00:51:27,600
Speaker 3: person in the back and they have the humps and

929
00:51:27,640 --> 00:51:30,319
Speaker 3: they're walking. You know, why did they have to have

930
00:51:30,440 --> 00:51:31,560
Speaker 3: a real camel?

931
00:51:32,280 --> 00:51:35,279
Speaker 2: Well, not only do these why because the and the

932
00:51:35,320 --> 00:51:39,160
Speaker 2: answer is not all that flattering, is that unfortunately, some

933
00:51:39,239 --> 00:51:43,400
Speaker 2: of these megachurches have too much money. No, they well

934
00:51:43,840 --> 00:51:48,440
Speaker 2: they have become they have become religious entertainment. Yeah, you know,

935
00:51:48,520 --> 00:51:51,120
Speaker 2: and they believe that the way to keep people in

936
00:51:51,200 --> 00:51:55,439
Speaker 2: the pews is by ever increasing dramatic spectacles.

937
00:51:55,480 --> 00:51:56,680
Speaker 3: Well they did that for sure.

938
00:51:56,960 --> 00:51:59,399
Speaker 2: Yeah. So, I mean it starts off with like, let's

939
00:51:59,400 --> 00:52:02,479
Speaker 2: do like a show, and then let's have like three

940
00:52:02,560 --> 00:52:06,319
Speaker 2: hundred people in the choir, and so it's like, let's

941
00:52:06,360 --> 00:52:08,960
Speaker 2: put on a Broadway production. Then all right, well we're

942
00:52:08,960 --> 00:52:11,440
Speaker 2: gonna do Christmas. Now. We need to we need to

943
00:52:11,640 --> 00:52:13,800
Speaker 2: do a little better than the church down the street,

944
00:52:13,840 --> 00:52:16,680
Speaker 2: which has only like one hundred people. Well how do

945
00:52:16,760 --> 00:52:19,040
Speaker 2: we do it. Let's bring in a real camel that's

946
00:52:19,040 --> 00:52:20,319
Speaker 2: going to knock people's socks off.

947
00:52:20,400 --> 00:52:21,880
Speaker 3: And it knocked her socks off.

948
00:52:21,960 --> 00:52:24,960
Speaker 2: Knocked her socks off and maybe, you know, maybe dislocated

949
00:52:25,000 --> 00:52:27,080
Speaker 2: a chin. We don't know, no, but.

950
00:52:27,040 --> 00:52:30,960
Speaker 3: The comments, those were the fun that That's why I

951
00:52:31,120 --> 00:52:33,200
Speaker 3: was laughing so hard, Not because of what happened to

952
00:52:33,239 --> 00:52:33,880
Speaker 3: this poor woman.

953
00:52:34,200 --> 00:52:37,760
Speaker 2: But the people and people on social media are extremely amusing.

954
00:52:38,480 --> 00:52:40,759
Speaker 2: They will, but particularly when you have something like this

955
00:52:40,840 --> 00:52:43,239
Speaker 2: that that is a little dark but lends itself to

956
00:52:43,320 --> 00:52:44,759
Speaker 2: the comedy, people go.

957
00:52:44,800 --> 00:52:47,680
Speaker 3: All out, oh my goodness. So yeah, so you know,

958
00:52:47,800 --> 00:52:54,239
Speaker 3: let's let's keep our celebrations less. I'm just saying, not

959
00:52:54,320 --> 00:52:54,719
Speaker 3: about it.

960
00:52:54,800 --> 00:52:58,880
Speaker 2: Yeah. Subscribe to The sus A Podcast on Apple, Google,

961
00:52:59,000 --> 00:53:03,879
Speaker 2: and Spotify, or watch on Rumble YouTube and salemnow dot com.

962
00:53:09,520 --> 00:53:09,880
Speaker 2: MHM