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Speaker 1: My name is Charlie kirk I run the largest pro

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Speaker 1: American student organization in the country, fighting for the future

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Speaker 1: of our republic. My call is to fight evil and

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Speaker 1: to proclaim truth. If the most important thing for you

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Speaker 1: is just feeling good, you're gonna end up miserable. But

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Speaker 1: if the most important thing is doing good, you'll end

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Speaker 1: up purposeful. College is a scam, everybody.

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Speaker 2: You got to stop sending your kids to college. You

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Speaker 2: should get married.

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Speaker 1: As young as possible and have as many kids as possible.

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Speaker 1: Go start at turning point you would say college chapter.

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Speaker 3: Go start attning point.

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Speaker 1: Yould say high school chapter. Go find out how your

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Speaker 1: church can get involved. Sign up and become an activist.

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Speaker 1: I gave my life to the Lord in fifth grade,

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Speaker 1: most important decision I ever made in my life, and

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Speaker 1: I encourage you to do the same.

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Speaker 3: Here I am.

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Speaker 2: Lord, Use me.

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Speaker 1: Buckle up, everybody, Here we go. Noble Gold Investments is

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Speaker 1: the official gold sponsor of the Charlie Kirkshaw, a company

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Speaker 1: that specializes in gold I rays and physical delivery of

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Speaker 1: precious metals. Learn how you could protect your wealth with

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Speaker 1: Noble Gold Investments at noblegold investments dot Com. That is

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Speaker 1: noblegold Investments dot Com.

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Speaker 4: All right, folks, ladies and gentlemen, boys and girls are

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Speaker 4: children of all political persuasions.

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Speaker 5: Support as we are.

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Speaker 2: Now back all support Sheetzians. No, we are. By the way,

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Speaker 2: it's the wah Wah Republic. I want to be clear

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Speaker 2: about that. I'm wearing my wah Wah shirt.

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Speaker 4: And uh for those listening on the pod, and it

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Speaker 4: is amazing.

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Speaker 2: It's a wonderful place.

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Speaker 4: Russ, by the way, who's here. We got Blake, we

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Speaker 4: got we got Mike McCoy. Russ had his first this

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Speaker 4: last week.

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Speaker 2: Wow, and.

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Speaker 5: It's just qt Oh he's not He's gonna go.

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Speaker 4: I was like, the most It's literally the most mids

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Speaker 4: you will ever go.

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Speaker 6: I went to a sheet four times this past week

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Speaker 6: because I was in Seven Springs, Pennsylvania. You were in

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Speaker 6: the Pittsburgh area, right, Yeah, I was. I was in Pittsberry.

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Speaker 6: I went to the World Board Game Championships. Only cool

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Speaker 6: kids allowed at that.

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Speaker 5: But we went to sheets.

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Speaker 6: And when I discovered at Sheets is you guys know,

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Speaker 6: on crustables, normal and crustables. So they sell a brand

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Speaker 6: of uncrustables at Sheets and they have fluffer Nutter on crustables,

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Speaker 6: so peanut butter as well as peanut butter and honey

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Speaker 6: and peanut butter and raspberry jam. So I tried all

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Speaker 6: three of them because I am a decadent.

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Speaker 4: This really good, this really good. They selld buffalo eggs.

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Speaker 4: You guys ever tried buffalo eggs?

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Speaker 5: Buffalo eggs.

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Speaker 4: So it was basically like hard boiled eggs that had

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Speaker 4: been somehow they they hard boiled them.

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Speaker 2: In hot sauce.

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Speaker 4: Wow, it was like a spicy, hard oiled egg.

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Speaker 5: That's to pray. That's pray.

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Speaker 6: That's sickening and upsetting. I feel a little I feel

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Speaker 6: a little ill now, but I might eat one, and

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Speaker 6: I don't.

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Speaker 2: I don't know exactly how they make them. But no, no, no,

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Speaker 2: you don't know.

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Speaker 4: You don't buy it with the shell they're already show

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Speaker 4: and then so it's like the egg itself is like red.

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Speaker 2: And then I have no again, like I'm not I'm

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Speaker 2: not the like so it.

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Speaker 3: It's like what the Japanese do.

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Speaker 6: The crazier thing, the crazier imagining is like what if

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Speaker 6: they were some way they could make it. So it

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Speaker 6: was a hard boiled egg and the yolk was like

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Speaker 6: spicy buffalo sauce flavored.

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Speaker 3: Something that Chinese can genetically modify.

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Speaker 6: I will say, if the Chinese can pull this one off,

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Speaker 6: I will probably submit to Beijing and I shall joined

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Speaker 6: their new modern tribute tributary system, their their proper culinary appreciation.

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Speaker 6: All right, So first topic, Jack, you were very you

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Speaker 6: were very amped up. You're very passionate about this one,

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Speaker 6: and we do. We were saying, this show so is

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Speaker 6: named thought crime, so we should probably engage with a

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Speaker 6: story that involves literal thought crime and it's related offense

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Speaker 6: word crime. We're talking about Shiloh Hendrix. Of course, that

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Speaker 6: is a woman who went unfortunately viral about a year

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Speaker 6: ago because she got in a confrontation with someone, a

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Speaker 6: stranger at a playground and she did do the unforgivable

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Speaker 6: sin of the post twenty twenty age, which is she

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Speaker 6: said a naughty word, and so she was indicted and

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Speaker 6: taken to court.

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Speaker 5: Jack, you can take it from here.

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Speaker 2: Yeah. So this was a really interesting case and I think.

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Speaker 4: We've all kind of covered it on our respective shows,

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Speaker 4: And there was an interesting question that we got in

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Speaker 4: over the week, and I kind of wanted to just

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Speaker 4: sort of hash it out because I got this in

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Speaker 4: from you know, conservatives, and people saying and particularly and

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Speaker 4: I'm just gonna say it, I'm just gonna say it.

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Speaker 4: Particularly got the question in from some women who were saying,

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Speaker 4: I don't understand how what she did is okay, I

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Speaker 4: don't understand why you would defend someone who did what

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Speaker 4: she did. I don't understand why we're getting behind somebody

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Speaker 4: like this. And and I said, well, first of all,

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Speaker 4: it's about freedom speech, like that's number one. We don't

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Speaker 4: put people in jail for words which are you know,

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Speaker 4: thought crime, word crime.

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Speaker 2: We don't do that. We just don't do that.

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Speaker 4: But specifically she wanted to know, and people were asking,

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Speaker 4: why is it that, why is it that this isn't

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Speaker 4: a criminal act? And one of the big pieces there,

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Speaker 4: and Blake, I'll throw it to you because I know

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Speaker 4: you know the details is she was not convicted for

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Speaker 4: anything to do with the child. She was acquitted of

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Speaker 4: anything to do with the child. She was convicted.

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Speaker 2: Of this.

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Speaker 4: What do they call it? It was a disturbing the peace,

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Speaker 4: disorderly conduct conduct.

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Speaker 7: It literally was that Jack that The stream.

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Speaker 6: The context of this is she does this stranger get

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Speaker 6: in her face, recording her telling her say this specific thing,

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Speaker 6: say this specific word, and so she does, and she

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Speaker 6: is the one who is criminally charged as a result.

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Speaker 6: That is the man who confronted her, who you know, Actually,

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Speaker 6: let's just go. Let's get Brian Carroless is the free

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Speaker 6: speech lawyer. He was representing her. He had an incredibly

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Speaker 6: viral response to it, very energetic. Let's play that full clip.

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Speaker 2: Just before we play the clip, if we can. I

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Speaker 2: just want to be clear about this that.

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Speaker 4: She was acquitted of any of the activity to the child.

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Speaker 4: The jury said, not guilty towards the child. So for

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Speaker 4: people asking that, oh, but she, you know, she called

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Speaker 4: a child the N.

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Speaker 7: Word, she was acquitted.

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Speaker 2: She was acquitted of disorder the conduct.

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Speaker 4: She was only convicted of the activity towards the streamer,

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Speaker 4: the Somali TikTok streamer.

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Speaker 5: Egregious. Egregious. But let's let the attorney do it. He

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Speaker 5: he got very amped up.

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Speaker 6: There's not many times where an attorney getting fired up

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Speaker 6: is really great content, but it was this time.

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Speaker 5: Let's play clip three.

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Speaker 8: Let's make something clear here.

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Speaker 2: Let's make something very clear.

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Speaker 8: She's acquitted, not guilty, right, not guilty with the child.

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Speaker 8: The state reads what a five minute victim impact statement

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Speaker 8: about the child.

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Speaker 3: She was acquitted about the child.

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Speaker 8: She's convicted on the count involving the cameraman. Well, they

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Speaker 8: never called to testify.

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Speaker 2: Keep this in mind, they never called.

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Speaker 8: The cameraman to testify. This judge prohibited us from telling

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Speaker 8: the jury that Jamali shired. Jamali had a GoFundMe page

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Speaker 8: three hundred and forty thousand dollars. He testified that it

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Speaker 8: was done in May last year.

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Speaker 2: Done. That's not true.

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Speaker 8: There's a link on the bottom of the page that

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Speaker 8: goes to another open account. My investigator hit the link

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Speaker 8: last night donated ten dollars. It's open. You can donate

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Speaker 8: right now. You can donate right now to shire Jimali's

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Speaker 8: go fund page.

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Speaker 2: Right now, it's open. He testified under oath and perjured himself.

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Speaker 2: He perjured himself.

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Speaker 9: Over and over and over and over again.

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Speaker 6: I think we well, we need to shut down is

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Speaker 6: the state of Minnesota because it's fact. This is every

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Speaker 6: detail story, every detail of the story is basically in Minnesota.

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Speaker 6: The number one I think Minnesota must generated in any

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Speaker 6: state for thought crime stuff.

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Speaker 4: Before we get too outraged, I just want to again,

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Speaker 4: I want to try to do this explain, explain the situation,

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Speaker 4: so we can clearly explain.

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Speaker 2: Why we're so outraged.

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Speaker 4: He's a she is acquitted for any of the activity

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Speaker 4: towards the child. She's convicted of the activity towards the

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Speaker 4: TikTok streamer, who, by the way, was screaming at her

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Speaker 4: while filming her. And she doesn't she doesn't threaten him,

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Speaker 4: she doesn't advance on him. She's actually walking away, she's

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Speaker 4: holding her child in her arms while she's walking away,

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Speaker 4: and he is the one clearly clearly provoking her. And

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Speaker 4: that is like, to me, it just seems so crazy

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Speaker 4: because like you could you could almost see if the

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Speaker 4: charge went the other way. I could maybe see some

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Speaker 4: people's you know, I could see some people's reaction being

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Speaker 4: the way that it was like, well, you did that

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Speaker 4: to a kid. But she was acquitted for the activity

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Speaker 4: towards the kid. She was completely acquitted. So that to

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Speaker 4: me number one on its phase. I don't think we

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Speaker 4: should be charging people for speech. That's that's first and foremost.

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Speaker 4: But second, the de verdict itself makes no sense. Sorry,

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Speaker 4: so please let's outrage away.

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Speaker 9: Yeah, I agree.

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Speaker 10: I agree this this culture that we're in right now,

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Speaker 10: where the no no words has just it's gotten out

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Speaker 10: a hand and we're now seeing it with multiple things.

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Speaker 4: But it's not just no no words because he says

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Speaker 4: the word and he was not.

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Speaker 2: Charged at all.

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Speaker 6: Yeah, I mean what it really is is that actually,

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Speaker 6: if you want to get into it, it's like it's

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Speaker 6: practically like feudal hierarchy of privilege. It's sort of like

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Speaker 6: in feudal Japan, a samurai could carry a katana around,

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Speaker 6: but a peasant could not carry a katana around.

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Speaker 7: And so these certain bad words they're they're they're the katana.

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Speaker 2: White.

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Speaker 4: You're a second class citizen if you're white. And that's

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Speaker 4: why I said that it's anti white, because this is

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Speaker 4: a law or a rule right that applies to the

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Speaker 4: white race in a way that it applies differently to

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Speaker 4: other races. And that's not what we do in this country.

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Speaker 4: That's just not what we're supposed.

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Speaker 2: To be about.

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Speaker 4: We're supposed to be colorblind, and we're supposed to be

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Speaker 4: everyone is treated the same by the same standard. So

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Speaker 4: you can't have one standard for one race and one

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Speaker 4: standard for another race. It just doesn't track.

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Speaker 7: Yeah, whikey, I mean they're Yeah, I mean the left

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Speaker 7: is the one that tells us that simultaneously we need

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Speaker 7: to be color blind and then also see color. And

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Speaker 7: then whenever a white person, you know, does see color

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Speaker 7: or kind of use just the common denominator of you know,

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Speaker 7: mentioning things, crime rates, things like that, all of a sudden,

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Speaker 7: they're the evil person. But like what you brought up earlier,

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Speaker 7: you can do the most egregious, disgusting, debaucherous thing in

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Speaker 7: the United States as a leftist and then say that

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Speaker 7: you are innocent, blame it on the white person, and

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Speaker 7: all of a sudden have millions of dollars raised for

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Speaker 7: you and it go fundme account. And I just think

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Speaker 7: that that, like it's scary more so just for the

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Speaker 7: future of our country that like we actually have people

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Speaker 7: that are completely blinded, Like not just we have it

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Speaker 7: on our side too, but there's a million of people

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Speaker 7: that genuinely think that this guy is innocent, that that

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Speaker 7: this woman is insane, that like it's crazy, but it

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Speaker 7: goes beyond that, Like there's people that murder people and

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Speaker 7: they're the ones that that are innocent, and the people

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Speaker 7: that were murdered are the ones that are guilty.

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Speaker 4: There are how much money did Carmelo Anthony Rays.

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Speaker 6: Of thousands, although possibly over MILLI yeah, I so check

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Speaker 6: that out, see if you can find it.

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Speaker 5: But what I will say is I actually feel, in.

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Speaker 6: A weird way, this is a this is a white

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Speaker 6: pill moment, uh in that, yes, she got charged with

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Speaker 6: a crime that I don't think you would have seen

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Speaker 6: much in the past. But the reason you would have

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Speaker 6: seen this before is you didn't have TikTok streamers as

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Speaker 6: a profession. You didn't have everyone going around with a

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Speaker 6: camera and immediately videotaping everyone all the time. I think

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Speaker 6: if you did, I think you actually would have seen

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Speaker 6: a ton of this in the two thousands, in the

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Speaker 6: Bush years, in the Obama years, it actually would have

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Speaker 6: been pretty common to see attempts at.

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Speaker 5: That sort of thing.

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Speaker 6: What stands out to me about this case is that, like,

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Speaker 6: let's be frank, her behavior was not very great. You

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Speaker 6: shouldn't probably yell the N word at a child, I'll

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Speaker 6: be frank, and but that people were still able to

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Speaker 6: maintain their composure and say that doesn't matter. What matters

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Speaker 6: is they charge her for a crime. Basically because of

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Speaker 6: her race and sex. They wanted to go get a Becky,

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Speaker 6: get a Karen and they charged her with a what

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Speaker 6: is essentially a thought crime, what a speech crime, that

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Speaker 6: this is unconstitutional and we should oppose it, even if

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Speaker 6: we would say you shouldn't do that sort of behavior, period,

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Speaker 6: And people pretty quickly aligned that way. And I think

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Speaker 6: that is a change from where we would have been

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Speaker 6: even five or six years ago. You guys probably remember

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Speaker 6: twenty twenty and how overwrought people would get about systemic

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Speaker 6: racism and everything else. And we are at the point

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Speaker 6: where we have learned to stand up against bullying in

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Speaker 6: that vein and say that this is unacceptable behavior.

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Speaker 5: And in this case, we lost at trial, and.

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Speaker 6: There's going to need to be an appeal, and it

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Speaker 6: might not even and the way we want it to,

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Speaker 6: but we've finally gotten people to the point where they

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Speaker 6: understand what we're supposed to believe, what we're supposed to argue,

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Speaker 6: that freedom of speech includes the right to say mean

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Speaker 6: things in an argument in public, and we can push

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Speaker 6: back on this. I think that is a good change.

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Speaker 6: It's a sort of change certainly that Charlie fought for.

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Speaker 9: Yeah, I agree.

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Speaker 6: So that's my white pill take on what is you know,

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Speaker 6: not a very fun story overall, well, it's.

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Speaker 2: Like it's like this is this is the one that's

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Speaker 2: going to produce the backlash.

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Speaker 4: This is the one that hopefully we come back and

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Speaker 4: we say, you know, just as a group of people

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Speaker 4: know you, you can't. And by the way, she get

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Speaker 4: a ninety days suspend it sentence, So she does anything

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Speaker 4: to violate the terms of her probation, she can go

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Speaker 4: to jail.

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Speaker 2: She can actually go to jail for saying a word.

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Speaker 2: And I don't want to live in that country.

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Speaker 4: And so what I would say to the folks and

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Speaker 4: good people and you know, fans of the program who

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Speaker 4: who wrote in with the question, I would say, look,

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Speaker 4: you know, I get where you're coming from. And I

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Speaker 4: do think that obviously the behavior on all sides was rude.

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Speaker 4: And by the way, she did not the one who

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Speaker 4: started that. Shallow Hendrix did not start that situation at all,

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Speaker 4: and would be very clear about that to everyone. And

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Speaker 4: at the same time, though, I don't want to live

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Speaker 4: in a country where in the UK, right where I

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Speaker 4: just came back from that thirteen thousand people a year

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Speaker 4: are arrested for speech crimes. Yeah, thirteen thousand. Do you

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Speaker 4: guys know it was that high?

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Speaker 3: No, I didn't even know this thirteen thousand.

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Speaker 4: It's thirteen thousand, and some of these it's just like fine,

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Speaker 4: I should say, some of them are find like it's

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Speaker 4: not a full arrest, but like you can be fine

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Speaker 4: finds and everything else. I met with Lucy Connolly, and

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Speaker 4: if you guys remember Lucy Connolly, her story was she

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Speaker 4: had made that post after the Southampton stabbings when three

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Speaker 4: little girls were hacked to death at a Taylor Swift

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Speaker 4: like dance party thing and just little girls were just

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Speaker 4: hacked to death by this Muslim migrant. And you know,

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Speaker 4: she made a post just saying, you know, we got

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Speaker 4: to get them all, we gotta get them all out here, and.

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Speaker 2: You know, you know, maybe included some stuff about the

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Speaker 2: hotels where they live as well.

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Speaker 4: And she was locked up. She got a three year

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Speaker 4: sentence for that. I don't think you starved the full

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Speaker 4: three years. But she was locked up and put in Jawn.

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Speaker 4: And she's a mother and I met her and she's

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Speaker 4: a sweet lady. And again that was a Facebook post.

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Speaker 4: That was a post that you know she was.

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Speaker 2: You know, could it be moderated, could it be you know,

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Speaker 2: taken down? Whatever? You know that those are all things

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Speaker 2: we can talk about.

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Speaker 4: But the idea of which which I also don't stand

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Speaker 4: for it, by the way, but the idea that you

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Speaker 4: would put someone behind bars for speech, it just runs

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Speaker 4: against everything, everything that we have fought for as a country,

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Speaker 4: for the First Amendment. And by the way, the First

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Speaker 4: Amendment is about tolerating political speech that you don't like.

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Speaker 4: That's actually what the word tolerance means. You don't tolerate

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Speaker 4: things that you like, you tolerate things that you don't like. Right,

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Speaker 4: and so even though tolerance is not a Christian virtue,

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Speaker 4: but it's a whole different discussion that the idea being

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Speaker 4: for freedom of speech. It's about speech you disagree with.

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Speaker 4: It's about speech that you disagree with. And guys, you know,

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Speaker 4: I'm sure we can all say this that we saw

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Speaker 4: in the wake of Charlie's murder.

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Speaker 2: We saw horrific things stated online.

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Speaker 4: And in person and about our friend, and people face

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Speaker 4: certainly face consequences for that. But I don't recall a

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Speaker 4: single one of us ever saying something like, oh, that

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Speaker 4: person should be in jail for that post, because it's

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Speaker 4: just not who we are.

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Speaker 7: No one's it's a good point check, all right.

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Speaker 2: I've been thinking about this.

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Speaker 6: I love it, yes, lovely, all right, So we actually

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Speaker 6: had a related thought that one of the things I

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Speaker 6: stood out is that she would get she's getting prosecuted

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Speaker 6: for this, in part because we live in the modern panopticon.

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Speaker 5: There's always people.

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Speaker 6: Everyone has a cell phone, has a camera, has a

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Speaker 6: video recorder, and they're happy to pull it out and

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Speaker 6: start recording whenever anything happens.

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Speaker 7: Basically, but we're in recent moving towards.

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Speaker 6: The reality where everywhere is being recorded at all times. Gentlemen,

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Speaker 6: it's time to debate flock cameras. We actually got a

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Speaker 6: question about this during the AMA last week, but Jack

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Speaker 6: wasn't on the AMA, so we're going to revisit it. Also,

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Speaker 6: you guys weren't on the AM. You should join sometime.

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Speaker 6: And so it's time to revisit flock cameras. Everyone here

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Speaker 6: knows what flock cameras are, right for those who don't

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Speaker 6: who are listening cameras, I think we should always try

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Speaker 6: to explain things we're doing. We're doing so, yeah, so

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Speaker 6: flock cameras. They are a startup company, a tech related

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Speaker 6: startup company. They make cameras, and okay, we've had surveillance

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Speaker 6: cameras forever. What's different about these is it's the fusion

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Speaker 6: of camera technology with as you'd expect AI technology, the

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Speaker 6: ability to read things on their own, collect and assemble

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Speaker 6: data on their own. And so what Flock cameras are

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Speaker 6: able to do, for example, is that are able to

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Speaker 6: log every license plate that comes by on a street

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Speaker 6: and then put it into a database what license plates

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Speaker 6: went along this street on this day, and put it

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Speaker 6: into gigantic spreadsheets so that law enforcement can go back

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Speaker 6: and look at them later. The limiting factor on close

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Speaker 6: circuit television or any other security footage always used to

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Speaker 6: be you had to actually go back and watch the

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Speaker 6: footage if you wanted to get anything out of it,

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Speaker 6: and they usually deleted it, especially back.

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Speaker 5: In the day it was on tapes.

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Speaker 6: They would just use the same tapes, so you couldn't

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Speaker 6: go back and look at something. Six months later. We

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Speaker 6: are now at the point and they're rolling this out

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Speaker 6: in cities where, oh, the cops decide that they have

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Speaker 6: a suspect, maybe there's a vehicle they're interested in. They

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Speaker 6: can go Flock, which is a private company, and say

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Speaker 6: tell us everything about this car, this model, this license plate,

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Speaker 6: and they can tell you everywhere that car is driven

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Speaker 6: in the past six months, the past year, possibly. Ever,

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Speaker 6: once there's been enough data and it's all going to

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Speaker 6: be compiled, they'll know it's patterns of movement throughout the city.

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Speaker 6: What are days where it wasn't driving where it would

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Speaker 6: normally be driving. Just vast amounts of information all coming

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Speaker 6: from from this tech company and being saved by this

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Speaker 6: tech company and being shared with the government, and so

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Speaker 6: people are losing their minds and they've decided that their

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Speaker 6: form of I think modern slavery is what some people

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Speaker 6: have said.

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Speaker 11: Yea.

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Speaker 6: Other people are flipping out and they are destroying the cameras.

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Speaker 6: We may have people who destroy the cameras go on

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Speaker 6: trial and then are just acquitted because people say, yeah,

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Speaker 6: smash those cameras, that's really cool. So how do we feel.

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Speaker 6: Are we pro flock camera or are we anti?

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Speaker 9: I'm very anti flock.

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Speaker 6: You're anti flock. You're breaking away from the flock, It's

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Speaker 6: exactly true.

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Speaker 9: Yeah, No, I think they're flocking this way.

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Speaker 10: I think flock cameras are another version of, essentially the

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Speaker 10: what we saw with Prism, where the government was able

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Speaker 10: to access a lot of data without being able to

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Speaker 10: with essentially no jurisdiction on what they had to do

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Speaker 10: with it. They could do whatever they wanted with it.

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Speaker 10: And when we look at even the bid era, when

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Speaker 10: we look at Instagram, Facebook, all of these companies gave

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Speaker 10: the government a backdoor and we're able to censor anybody.

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Speaker 10: So it's like, yes, Flock is a private company, but

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Speaker 10: how do we know that the government doesn't have a

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Speaker 10: backdoor that they can just use this data for whatever

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Speaker 10: they want. Yeah, and then at what point and what

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Speaker 10: type of what type of mass casualty event or what

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Speaker 10: type of mass casualty event is going to happen where

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Speaker 10: all of a sudden, the government goes, actually, we're going

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Speaker 10: to take control of this. So that's that's where my

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Speaker 10: that's where my brain goes when it comes to this

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Speaker 10: kind of stuff. And that's where I am very anti flock.

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Speaker 12: I want to talk to you about an issue so

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Speaker 12: many Americans face, and that's health insurance. There's an organization

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00:22:00,160 --> 00:22:04,720
Speaker 12: I really really appreciate called Christian Healthcare Ministries CHM is

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00:22:04,760 --> 00:22:08,320
Speaker 12: a faith based alternative to health insurance. And this is

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Speaker 12: real stuff, folks, like you've gotta listen.

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Speaker 3: In with CHM.

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Speaker 12: You're not paying into a company's profit margin. You're investing

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Speaker 12: in a community with less overhead than the competition. You

441
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Speaker 5: All right, is anyone pro flock jack? Are you pro

456
00:23:09,960 --> 00:23:11,280
Speaker 5: flock one?

457
00:23:12,119 --> 00:23:14,040
Speaker 2: Pro flock for blue cities?

458
00:23:14,720 --> 00:23:15,560
Speaker 5: For blue cities?

459
00:23:15,560 --> 00:23:15,879
Speaker 2: All right?

460
00:23:16,119 --> 00:23:17,800
Speaker 7: Build this out, build this out for us.

461
00:23:18,520 --> 00:23:20,359
Speaker 2: Well, they deserve it. They deserve it.

462
00:23:20,440 --> 00:23:24,560
Speaker 6: They just like, like, are we declared the city Philadelphia

463
00:23:24,640 --> 00:23:28,560
Speaker 6: city Philadelphia right here totally deserves slock cameras everywhere these

464
00:23:29,200 --> 00:23:31,520
Speaker 6: You got to understand, Sorry.

465
00:23:31,280 --> 00:23:36,680
Speaker 7: That's a slippery slope, though, have you had one about

466
00:23:35,840 --> 00:23:39,439
Speaker 7: seen have you seen how bad the crime is in

467
00:23:39,480 --> 00:23:44,440
Speaker 7: these cities that's down the slope already there's red sure.

468
00:23:45,320 --> 00:23:47,480
Speaker 6: So that was my thought is people point out, yeah,

469
00:23:47,520 --> 00:23:49,320
Speaker 6: it can help with crime in bad cities, but the

470
00:23:49,400 --> 00:23:51,280
Speaker 6: easiest way to help with crime in these bad cities

471
00:23:51,280 --> 00:23:54,960
Speaker 6: would be to enforce the laws and prosecute people. Like

472
00:23:55,280 --> 00:23:58,080
Speaker 6: the problem in Philadelphia. The problem in Philadelphia is not

473
00:23:58,119 --> 00:24:01,080
Speaker 6: that they cannot catch criminals. The problem in Philadelphia is

474
00:24:01,080 --> 00:24:04,200
Speaker 6: that they have a DA who affirmatively is pro crime,

475
00:24:04,560 --> 00:24:09,359
Speaker 6: who actively fire as effective prosecutors people who are obviously guilter.

476
00:24:09,800 --> 00:24:13,520
Speaker 4: But but again, it's it's going to be something where

477
00:24:13,880 --> 00:24:18,000
Speaker 4: it's another tool that that is needed to be able

478
00:24:18,040 --> 00:24:21,359
Speaker 4: to fight the crime. And and possibly by the way,

479
00:24:21,720 --> 00:24:24,240
Speaker 4: there are for example, one of the issues with Larry

480
00:24:24,280 --> 00:24:27,400
Speaker 4: Kramer that you just brought up there, excuse me, Larry Krasner. Larry,

481
00:24:27,760 --> 00:24:30,359
Speaker 4: Larry Kramer is a different guy, Larry Krasner. I think

482
00:24:30,400 --> 00:24:31,960
Speaker 4: Larry Kramer is the guy named the guy in the

483
00:24:32,359 --> 00:24:35,560
Speaker 4: in the Bonfire of the Vanities, which I've always said

484
00:24:35,560 --> 00:24:40,959
Speaker 4: they're kind of similar, and that Krasner was just slapped

485
00:24:41,000 --> 00:24:43,520
Speaker 4: down by the Pennsylvania City Supreme Court and said that

486
00:24:43,640 --> 00:24:46,399
Speaker 4: all of his rulings because they've been so just blatantly

487
00:24:46,480 --> 00:24:49,679
Speaker 4: riddled with false he's a source DA and with like

488
00:24:49,760 --> 00:24:55,040
Speaker 4: falsities and mistruths, that now all of his decisions need

489
00:24:55,080 --> 00:24:59,119
Speaker 4: to be secondarily viewed by the Attorney General of Pennsylvania,

490
00:24:59,320 --> 00:25:03,959
Speaker 4: who happens to be a Republican. And so there are

491
00:25:04,080 --> 00:25:06,480
Speaker 4: ways in you know, in a state like that, where

492
00:25:06,560 --> 00:25:09,240
Speaker 4: you've got Republicans, say at the state level that can

493
00:25:09,320 --> 00:25:12,480
Speaker 4: actually overview these things and say like, Okay.

494
00:25:12,240 --> 00:25:14,000
Speaker 2: Well this is obviously a lie. And I know it's

495
00:25:14,040 --> 00:25:15,560
Speaker 2: a lie because I can see the footage on the

496
00:25:15,560 --> 00:25:19,720
Speaker 2: flock camera. Yeah, I mean I can, so it could

497
00:25:19,720 --> 00:25:20,640
Speaker 2: be a check on the DA.

498
00:25:21,119 --> 00:25:26,760
Speaker 7: I am pro flock camera in concept, you're pro general

499
00:25:26,960 --> 00:25:29,680
Speaker 7: even in Janet. Okay, well hold on, let me explain

500
00:25:29,720 --> 00:25:33,159
Speaker 7: this a little bit. I'm pro in that if it

501
00:25:33,200 --> 00:25:36,119
Speaker 7: were to achieve its objective, which like picture for a second,

502
00:25:36,160 --> 00:25:38,800
Speaker 7: somebody robs a bank and then they immediately hit a

503
00:25:38,840 --> 00:25:43,080
Speaker 7: freeway they're running away, Like flock cameras can find them instantaneously.

504
00:25:43,119 --> 00:25:45,359
Speaker 7: Somebody commits a murder, they found the car, they know

505
00:25:45,400 --> 00:25:47,760
Speaker 7: who it belongs to, they run the plates, they can

506
00:25:47,760 --> 00:25:49,439
Speaker 7: find them. They know where he's going, they know what

507
00:25:49,520 --> 00:25:52,840
Speaker 7: direction he was headed in, you know somebody whatever. It

508
00:25:52,920 --> 00:25:56,680
Speaker 7: is like you can crack down on crime really really fast.

509
00:25:58,280 --> 00:26:00,560
Speaker 7: And it's actually not like it's not easy for like

510
00:26:00,640 --> 00:26:03,040
Speaker 7: law enforcement to crack down on stuff really fast. I

511
00:26:03,040 --> 00:26:05,959
Speaker 7: mean they have like twenty tips that immediately come in

512
00:26:06,040 --> 00:26:09,000
Speaker 7: and then they have to verify all twenty while simultaneously

513
00:26:09,080 --> 00:26:11,800
Speaker 7: like taking evidence from the crime scene and also like

514
00:26:11,880 --> 00:26:15,000
Speaker 7: running DNA and all these things, and so to like

515
00:26:15,119 --> 00:26:18,520
Speaker 7: remove different situations and have it cut down like that

516
00:26:18,680 --> 00:26:23,320
Speaker 7: is good in concept, however, like powerful tools in the

517
00:26:23,359 --> 00:26:26,560
Speaker 7: hands of bad and evil men. Like throughout the years,

518
00:26:26,600 --> 00:26:29,280
Speaker 7: even Charlie's stance like on the death penalty had changed

519
00:26:29,280 --> 00:26:32,360
Speaker 7: from pro anti Remember asking him like why at one point,

520
00:26:32,440 --> 00:26:35,200
Speaker 7: why were you anti? And he was like, well, I'm

521
00:26:35,280 --> 00:26:37,560
Speaker 7: pro and the fact that it's a good thing, I'm

522
00:26:37,640 --> 00:26:40,280
Speaker 7: anti and the fact that evil men can use it

523
00:26:40,320 --> 00:26:44,399
Speaker 7: for evil purposes, and so like flock cameras think like

524
00:26:44,480 --> 00:26:48,760
Speaker 7: January sixth. Right, I'm anti because under the Biden administration

525
00:26:48,920 --> 00:26:50,200
Speaker 7: they were like finding these people.

526
00:26:50,359 --> 00:26:51,560
Speaker 3: They could have found all of them.

527
00:26:51,760 --> 00:26:54,200
Speaker 7: Like some of these people probably are like fine now

528
00:26:54,320 --> 00:26:56,760
Speaker 7: because they waited the four years and then President Trump

529
00:26:56,760 --> 00:27:00,199
Speaker 7: parton in them, right, but they could have found all

530
00:27:00,240 --> 00:27:03,399
Speaker 7: of them and very fast too. They also in the

531
00:27:03,440 --> 00:27:05,200
Speaker 7: future of flock cameras is they're not just going to

532
00:27:05,280 --> 00:27:09,000
Speaker 7: run license plates, They're going to run facial recognition too.

533
00:27:09,040 --> 00:27:10,879
Speaker 3: I mean, they're doing this, but they did they but

534
00:27:10,920 --> 00:27:11,359
Speaker 3: they did.

535
00:27:11,240 --> 00:27:13,040
Speaker 2: Have surveillance at the.

536
00:27:12,600 --> 00:27:16,200
Speaker 4: At the capitol and they used uh famously used geo fencing.

537
00:27:16,000 --> 00:27:17,560
Speaker 3: So I mean like that, but that's it.

538
00:27:17,880 --> 00:27:20,280
Speaker 4: They didn't they didn't have flock cameras like they already

539
00:27:20,280 --> 00:27:21,119
Speaker 4: had cameras there.

540
00:27:21,320 --> 00:27:23,400
Speaker 7: But then if flock cameras are all over the US

541
00:27:23,520 --> 00:27:25,840
Speaker 7: once they left d C and the government had to

542
00:27:25,880 --> 00:27:28,400
Speaker 7: find them fast, but if they moved with their parents' house,

543
00:27:28,600 --> 00:27:31,439
Speaker 7: if they are at a cabin wherever they were, like

544
00:27:31,520 --> 00:27:33,800
Speaker 7: I truthfully, Jack, like I know somebody that was.

545
00:27:33,840 --> 00:27:37,760
Speaker 4: No they they did like they but id people like

546
00:27:37,800 --> 00:27:38,760
Speaker 4: Alaska and stuff.

547
00:27:39,200 --> 00:27:41,480
Speaker 7: Okay, I'm saying though I know people that were at

548
00:27:42,000 --> 00:27:43,280
Speaker 7: you know, January sixth.

549
00:27:43,240 --> 00:27:44,960
Speaker 2: And were at the COUI.

550
00:27:45,200 --> 00:27:47,640
Speaker 7: They were not like in the Capitol, and they were

551
00:27:47,640 --> 00:27:50,560
Speaker 7: not found in the four years of the Biden administration.

552
00:27:50,760 --> 00:27:51,520
Speaker 3: And now they're like.

553
00:27:51,760 --> 00:27:55,400
Speaker 7: Does that does that mean they and so like I

554
00:27:55,480 --> 00:27:58,639
Speaker 7: am pro flock camera and that I wanted to do

555
00:27:58,720 --> 00:28:02,000
Speaker 7: what it's objective is I'm anti in that it's going

556
00:28:02,080 --> 00:28:03,600
Speaker 7: to collect all this data on people. It's going to

557
00:28:03,640 --> 00:28:05,880
Speaker 7: be easier for them to find, you know, people under

558
00:28:05,920 --> 00:28:08,720
Speaker 7: an evil regime. And then also like I think during COVID,

559
00:28:09,119 --> 00:28:11,760
Speaker 7: like when churches were shut down and like businesses were

560
00:28:11,800 --> 00:28:14,879
Speaker 7: shut down, like there are some turning point employees that

561
00:28:14,880 --> 00:28:16,959
Speaker 7: were showing up to work when they weren't allowed to,

562
00:28:17,440 --> 00:28:19,840
Speaker 7: and like who's to say that flock cameras or like

563
00:28:19,920 --> 00:28:23,080
Speaker 7: this state of Arizona where it's going to track Charlie's

564
00:28:23,200 --> 00:28:25,840
Speaker 7: car and be like you were going to work.

565
00:28:25,880 --> 00:28:27,760
Speaker 5: That's the exact thing I was thinking of.

566
00:28:27,800 --> 00:28:29,200
Speaker 3: Is like you were hosting home church.

567
00:28:29,240 --> 00:28:33,120
Speaker 6: I'm imagining, Yeah, I'm imagining COVID And they could say, yeah,

568
00:28:33,160 --> 00:28:36,679
Speaker 6: we found all these cars are going to this specific spot.

569
00:28:36,800 --> 00:28:39,000
Speaker 6: Like you could just unleash the AI and say, find

570
00:28:39,080 --> 00:28:40,800
Speaker 6: us examples where all these cars are going in the

571
00:28:40,840 --> 00:28:43,479
Speaker 6: same direction. Even if there's no business there, and then

572
00:28:43,520 --> 00:28:45,520
Speaker 6: they say, yeah, yeah, here was your home church yep.

573
00:28:45,720 --> 00:28:48,640
Speaker 6: Or or even let's remember, for example, to buy an administration.

574
00:28:48,720 --> 00:28:52,800
Speaker 6: They had their fascination with traditional Latin mass as a

575
00:28:52,920 --> 00:28:56,480
Speaker 6: vector for terrorism. Now imagine they go, well, let's find

576
00:28:56,560 --> 00:28:58,760
Speaker 6: every car that drives to this place that's doing a

577
00:28:58,800 --> 00:29:00,560
Speaker 6: Latin mess within the window where the.

578
00:29:00,560 --> 00:29:03,680
Speaker 7: Latin mass is offered. Bam, they every person goes to

579
00:29:03,720 --> 00:29:04,200
Speaker 7: the service.

580
00:29:04,640 --> 00:29:05,760
Speaker 2: And I don't.

581
00:29:05,800 --> 00:29:08,160
Speaker 4: I don't just I don't disagree with anything you guys

582
00:29:08,200 --> 00:29:11,280
Speaker 4: are saying, but but I do also just I just

583
00:29:11,520 --> 00:29:13,280
Speaker 4: I don't think you can put the tooth based back

584
00:29:13,320 --> 00:29:13,880
Speaker 4: in the tube.

585
00:29:14,400 --> 00:29:14,520
Speaker 13: Uh.

586
00:29:15,000 --> 00:29:18,560
Speaker 2: The Chinese Communist Party, the n k v D, the

587
00:29:18,560 --> 00:29:19,960
Speaker 2: the the STAZZI. Uh.

588
00:29:20,160 --> 00:29:22,440
Speaker 4: There have been regimes that did things like this far

589
00:29:22,520 --> 00:29:24,560
Speaker 4: before technology evil is.

590
00:29:25,800 --> 00:29:30,320
Speaker 7: But now it's we're talking about like squeezing before before

591
00:29:30,360 --> 00:29:32,800
Speaker 7: we continue on this debate, we should we Actually, you know,

592
00:29:32,840 --> 00:29:33,840
Speaker 7: Kyrie sent us a donation.

593
00:29:34,840 --> 00:29:36,440
Speaker 6: I'd never heard of flock until the A M A.

594
00:29:36,520 --> 00:29:38,800
Speaker 6: Please explain these things. Let's put up the map.

595
00:29:38,840 --> 00:29:39,440
Speaker 5: We have eight.

596
00:29:39,800 --> 00:29:43,320
Speaker 6: This is all the Flock cameras in the US. Throw

597
00:29:43,360 --> 00:29:46,880
Speaker 6: that up number eight. So this is already how many

598
00:29:46,960 --> 00:29:47,160
Speaker 6: of them.

599
00:29:47,200 --> 00:29:49,160
Speaker 3: We have crazy.

600
00:29:49,280 --> 00:29:50,880
Speaker 5: This is not a demo in a few cities.

601
00:29:50,880 --> 00:29:52,560
Speaker 7: There are already basically everywhere.

602
00:29:52,680 --> 00:29:55,800
Speaker 6: I will note everywhere except the Dakota's the Dakota the

603
00:29:55,880 --> 00:29:59,720
Speaker 6: land of freedom for us. And then now let's go

604
00:29:59,800 --> 00:30:03,800
Speaker 6: let's a mint a bit. Let's do Maricopa County number nine.

605
00:30:03,960 --> 00:30:06,440
Speaker 6: And so this is the Phoenix area. You can see,

606
00:30:06,480 --> 00:30:09,160
Speaker 6: they're all along the major roads of Phoenix. And let's

607
00:30:09,200 --> 00:30:13,680
Speaker 6: doom even further. This is the vicinity of TPUSA, sort

608
00:30:13,680 --> 00:30:15,160
Speaker 6: of in South Phoenix.

609
00:30:15,720 --> 00:30:18,440
Speaker 5: So this is even a few blocks. You can see.

610
00:30:18,600 --> 00:30:21,040
Speaker 6: We have a ton of flock cameras right outside that

611
00:30:21,120 --> 00:30:23,920
Speaker 6: strip club that's by the Interstate and the mall and

612
00:30:24,000 --> 00:30:26,280
Speaker 6: the mall, and you say on the mall, but no,

613
00:30:26,680 --> 00:30:28,600
Speaker 6: the biggest cluster is the strip club.

614
00:30:28,640 --> 00:30:29,960
Speaker 5: The biggest cluster is that strip club.

615
00:30:30,080 --> 00:30:33,560
Speaker 7: Yeah, but Jack, actually I am I agree with you,

616
00:30:33,640 --> 00:30:36,680
Speaker 7: like I do like flock cameras. I want them in

617
00:30:36,720 --> 00:30:40,240
Speaker 7: blue cities. I also want like under the Trump administration,

618
00:30:40,400 --> 00:30:43,520
Speaker 7: we could use flock cameras to track down every single

619
00:30:43,560 --> 00:30:46,080
Speaker 7: illegal like migrants.

620
00:30:45,400 --> 00:30:48,480
Speaker 3: But like every bad one, every single one, like whatever.

621
00:30:48,520 --> 00:30:50,760
Speaker 7: However, we wanted to do it because we have certain

622
00:30:50,840 --> 00:30:53,680
Speaker 7: data points that we can use and like that is

623
00:30:53,720 --> 00:30:54,480
Speaker 7: super useful.

624
00:30:54,720 --> 00:30:55,600
Speaker 3: I'm just I am.

625
00:30:55,800 --> 00:30:58,200
Speaker 7: It gets me scared though when I think of like

626
00:30:58,280 --> 00:31:00,560
Speaker 7: COVID and when I think of January sixth, of course,

627
00:31:00,640 --> 00:31:03,560
Speaker 7: like the toothpaste is coming out of the tube flock

628
00:31:03,600 --> 00:31:06,200
Speaker 7: cameras like for lack of a better analogy, like it

629
00:31:06,280 --> 00:31:09,640
Speaker 7: just squeezes it up faster we already have by.

630
00:31:09,560 --> 00:31:12,760
Speaker 9: The way, go ahead, Jack No.

631
00:31:12,880 --> 00:31:16,400
Speaker 4: I was gonna say though, like like in in beyond that,

632
00:31:17,080 --> 00:31:19,560
Speaker 4: right you already like go back to Chylo Hendrix, Right,

633
00:31:19,840 --> 00:31:22,280
Speaker 4: she's on video because a guy was standing there and

634
00:31:22,320 --> 00:31:26,440
Speaker 4: started filming her. So I mean this mass surveillance. Even

635
00:31:26,480 --> 00:31:28,960
Speaker 4: if the flock cameras were all gone, you're always going

636
00:31:29,000 --> 00:31:31,800
Speaker 4: to be around someone who's got a cell phone next

637
00:31:31,840 --> 00:31:35,280
Speaker 4: to you, right, Totally, It's just always going to happen.

638
00:31:35,520 --> 00:31:38,080
Speaker 4: And this idea is Scott Adams's talk about this that

639
00:31:38,240 --> 00:31:40,480
Speaker 4: like privacy is going to be one of those things

640
00:31:40,480 --> 00:31:44,400
Speaker 4: that as more like like like I was born with

641
00:31:44,440 --> 00:31:47,280
Speaker 4: a certain level of privacy that Mikey was not born

642
00:31:47,320 --> 00:31:50,440
Speaker 4: with and and soon to be a father, right uh

643
00:31:50,880 --> 00:31:53,680
Speaker 4: you know, congrats by the way, thank you, Eric, Except

644
00:31:53,720 --> 00:31:55,680
Speaker 4: what you guys, what are you are you having said?

645
00:31:55,720 --> 00:31:56,560
Speaker 2: To do date publicly.

646
00:31:56,560 --> 00:31:59,520
Speaker 4: It's soon though, right any day now, any day, Yeah,

647
00:32:00,040 --> 00:32:01,840
Speaker 4: go to say it, like it's like we're like in

648
00:32:01,880 --> 00:32:03,400
Speaker 4: the you're in the like you might have to run

649
00:32:03,440 --> 00:32:05,280
Speaker 4: in the middle of the show, which beater and that's

650
00:32:05,320 --> 00:32:09,400
Speaker 4: that's awesome, celebrate, celebrate our blessings. But but point being

651
00:32:09,520 --> 00:32:12,000
Speaker 4: is that you're your child is gonna be born with

652
00:32:12,040 --> 00:32:14,920
Speaker 4: even less privacy than you were. And and it's it's

653
00:32:14,920 --> 00:32:16,920
Speaker 4: so Scott Iams just point out that, like it's it's

654
00:32:17,080 --> 00:32:18,760
Speaker 4: just going to go away. But what I would say though,

655
00:32:18,880 --> 00:32:21,200
Speaker 4: is and this is like sort of my general pushback

656
00:32:21,360 --> 00:32:25,680
Speaker 4: is that you know, the idea of whether or not these.

657
00:32:25,520 --> 00:32:27,800
Speaker 2: Tools are used for good or for.

658
00:32:27,880 --> 00:32:31,160
Speaker 4: Evil isn't because of the tool. It's because of who's

659
00:32:31,200 --> 00:32:33,000
Speaker 4: in charge of the government. And this is where I

660
00:32:33,040 --> 00:32:36,920
Speaker 4: think the libertarian argument fails, because you're always going to

661
00:32:36,960 --> 00:32:39,000
Speaker 4: find someone who can be in charge of the government.

662
00:32:39,200 --> 00:32:40,840
Speaker 2: You can't just like get away with it.

663
00:32:41,000 --> 00:32:43,440
Speaker 4: So the only thing the only way to respond is

664
00:32:43,480 --> 00:32:44,600
Speaker 4: to take over the government.

665
00:32:45,800 --> 00:32:48,160
Speaker 9: For sure, I totally agree.

666
00:32:48,840 --> 00:32:52,600
Speaker 10: I would say it is kind of a defeatist mindset

667
00:32:52,680 --> 00:32:55,720
Speaker 10: to say, oh, there's already too much toothpaste out of

668
00:32:55,760 --> 00:32:59,400
Speaker 10: the bottle. So we're just gonna push all the rest

669
00:32:59,400 --> 00:33:00,000
Speaker 10: of the toothpape.

670
00:33:00,160 --> 00:33:03,000
Speaker 7: No, no, I'm saying flock cameras because it is just pragmatic.

671
00:33:03,200 --> 00:33:06,320
Speaker 9: Yeah, no, exactly. But that's to the point, like, like you.

672
00:33:06,240 --> 00:33:10,640
Speaker 10: Said, January sixth, we already have enough mass surveillance at

673
00:33:10,640 --> 00:33:13,920
Speaker 10: this point that those people were being found wherever they

674
00:33:13,920 --> 00:33:16,000
Speaker 10: went home to So let me ask you a question.

675
00:33:16,280 --> 00:33:21,000
Speaker 10: To me, it's like, why would we want to just continue,

676
00:33:21,040 --> 00:33:22,240
Speaker 10: like continue that trend?

677
00:33:22,440 --> 00:33:24,200
Speaker 7: Okay, yeah, let me ask you a question. Yeah, life

678
00:33:24,280 --> 00:33:26,360
Speaker 7: is all about pros and cons for sure. Yeah, and

679
00:33:26,400 --> 00:33:29,960
Speaker 7: then you you oftentimes have to trade privacy for your security.

680
00:33:30,040 --> 00:33:32,560
Speaker 7: Right if you're somebody that needs security guards because your

681
00:33:32,640 --> 00:33:34,959
Speaker 7: geat threats all the time twenty four to seven, your

682
00:33:34,960 --> 00:33:35,680
Speaker 7: privacy is gone.

683
00:33:35,760 --> 00:33:37,160
Speaker 3: You have somebody in the car with you, when you.

684
00:33:37,080 --> 00:33:39,680
Speaker 7: Go to the bathroom, they're standing outside like they're gonna

685
00:33:39,680 --> 00:33:42,760
Speaker 7: hear your fart noises whatever. It is, like, your privacy's gone.

686
00:33:42,800 --> 00:33:45,480
Speaker 7: You're uncomfortable, but at least you're secure. And so, like

687
00:33:45,560 --> 00:33:48,000
Speaker 7: my question to you is like do the pros outweigh

688
00:33:48,080 --> 00:33:50,920
Speaker 7: the cons, and that every day criminals are gonna get

689
00:33:50,960 --> 00:33:54,360
Speaker 7: caught much faster illegal migrants could be caught much faster.

690
00:33:54,840 --> 00:33:57,840
Speaker 7: Bank robbers can be caught much faster murderers on the

691
00:33:57,880 --> 00:34:01,600
Speaker 7: small chance that the con is during COVID during January sixth,

692
00:34:01,600 --> 00:34:04,000
Speaker 7: and that's usually That's my problem, I know, but I

693
00:34:04,000 --> 00:34:06,160
Speaker 7: don't think I had the answer, And so my question

694
00:34:06,240 --> 00:34:07,800
Speaker 7: is what do the pros outweigh the contents.

695
00:34:08,000 --> 00:34:10,799
Speaker 6: My problem is is I feel the risk of as

696
00:34:10,840 --> 00:34:13,719
Speaker 6: we'd say at anarchotyranny is higher because I feel we

697
00:34:13,880 --> 00:34:17,320
Speaker 6: already know where in that like, are we even bothering

698
00:34:17,520 --> 00:34:21,359
Speaker 6: to prosecute the criminals we already catch with our current tech?

699
00:34:21,640 --> 00:34:23,799
Speaker 5: And the answer in so many blue cities is no.

700
00:34:23,920 --> 00:34:27,000
Speaker 6: We saw, for example, Arena Zaruska stabbed to death by

701
00:34:27,040 --> 00:34:29,400
Speaker 6: a guy arrested repeatedly, never put behind bars.

702
00:34:29,400 --> 00:34:29,600
Speaker 9: Nope.

703
00:34:29,600 --> 00:34:30,960
Speaker 5: We've had multiple murders in.

704
00:34:30,920 --> 00:34:34,600
Speaker 6: Fairfax County where there's one that really bothered me earlier

705
00:34:34,640 --> 00:34:36,880
Speaker 6: this year. I can't recall the name, but it was

706
00:34:36,880 --> 00:34:39,880
Speaker 6: an individual from abroad. I think he was from Senegal

707
00:34:40,440 --> 00:34:45,279
Speaker 6: and he is repeatedly arrested for stabbing random people. And

708
00:34:45,320 --> 00:34:47,799
Speaker 6: we have the email where the police send it to

709
00:34:48,000 --> 00:34:51,600
Speaker 6: Steve Discano, the Commonwealth Attorney for Fairfax, and say can

710
00:34:51,640 --> 00:34:54,200
Speaker 6: you please convict this guy and stop releasing him because

711
00:34:54,239 --> 00:34:57,759
Speaker 6: he keeps randomly stabbing people. And of course he was

712
00:34:57,800 --> 00:35:01,560
Speaker 6: released anyway and randomly stabbed someone to death. Now that

713
00:35:01,600 --> 00:35:03,920
Speaker 6: he's finally murdered someone, I guess he'll go to prison.

714
00:35:04,239 --> 00:35:07,640
Speaker 6: But that's what we're facing is we already have the

715
00:35:07,680 --> 00:35:13,000
Speaker 6: ability to arrest more criminals than our progressive governing class

716
00:35:13,080 --> 00:35:16,480
Speaker 6: is actually willing to put in prison long enough to

717
00:35:16,560 --> 00:35:19,799
Speaker 6: keep us safe. And that means adding all of these

718
00:35:19,840 --> 00:35:23,600
Speaker 6: flock cameras. The chief purpose of them is not going

719
00:35:23,640 --> 00:35:25,799
Speaker 6: to be to catch those criminals because they don't care.

720
00:35:26,080 --> 00:35:29,000
Speaker 6: It's going to be to skin more tax cattle. Oh,

721
00:35:29,080 --> 00:35:31,839
Speaker 6: let's find more people that we can find. Let's find

722
00:35:31,880 --> 00:35:35,120
Speaker 6: more people who will be those as as Tom Wolf said,

723
00:35:35,120 --> 00:35:37,239
Speaker 6: the Great White Defendants, you know, the people they really

724
00:35:37,239 --> 00:35:38,319
Speaker 6: want to be prosecuting.

725
00:35:39,360 --> 00:35:40,320
Speaker 2: So that's what I feel.

726
00:35:40,320 --> 00:35:43,080
Speaker 4: Can I give I'm gonna I'm gonna commit like a

727
00:35:43,120 --> 00:35:44,879
Speaker 4: really really big thought crime.

728
00:35:45,160 --> 00:35:49,560
Speaker 6: Uh oh, well you're not in Minnesota right now, Jack, Right, No, No,

729
00:35:49,600 --> 00:35:50,120
Speaker 6: I'm not.

730
00:35:53,760 --> 00:35:59,359
Speaker 2: So this is so we've talked about, and so Blake,

731
00:35:59,400 --> 00:36:00,000
Speaker 2: we've talked in.

732
00:36:00,120 --> 00:36:03,080
Speaker 4: Obviously, we've had Steve Sailor on the shows and talked

733
00:36:03,080 --> 00:36:09,080
Speaker 4: about how the deaths of exuberance, particularly in cities with

734
00:36:09,160 --> 00:36:13,520
Speaker 4: large black populations, have dramatically increased, not just in terms

735
00:36:13,640 --> 00:36:18,200
Speaker 4: of murders, but also in terms of vehicular vehicular fatalities

736
00:36:18,560 --> 00:36:22,960
Speaker 4: in twenty twenty right, Yeah, of course, but have you

737
00:36:23,080 --> 00:36:28,160
Speaker 4: noticed that, for example, in the city of Baltimore, the

738
00:36:28,160 --> 00:36:33,080
Speaker 4: city of Baltimore actually has seen a reduction in homicides.

739
00:36:33,200 --> 00:36:36,200
Speaker 7: Yeap, Baltimore is incredibly say, Baltimore is ahead of the curve.

740
00:36:36,760 --> 00:36:39,160
Speaker 4: Because of their new Yeah, because of their new program

741
00:36:39,360 --> 00:36:43,120
Speaker 4: where where basically what they're doing is they're just they're

742
00:36:43,200 --> 00:36:46,120
Speaker 4: they're they're they're bucking the trend and they're saying, Okay,

743
00:36:46,120 --> 00:36:49,520
Speaker 4: we're just gonna reach the arrest the most violent offenders

744
00:36:49,520 --> 00:36:50,279
Speaker 4: and keep them in jail.

745
00:36:50,480 --> 00:36:51,680
Speaker 2: And they call it. I pulled it up.

746
00:36:51,719 --> 00:36:56,120
Speaker 4: It's called focused deterrence and an approach known as the

747
00:36:56,120 --> 00:37:00,200
Speaker 4: Group Violence Reduction Strategy. It started in January twenty twenty two,

748
00:37:00,719 --> 00:37:04,280
Speaker 4: and it's specifically focused on the high violence Western Police

749
00:37:04,320 --> 00:37:06,279
Speaker 4: District and later expanded citywide.

750
00:37:06,440 --> 00:37:08,760
Speaker 2: And by the way, we could go through and.

751
00:37:08,640 --> 00:37:10,799
Speaker 4: Like talk about all the specifics of it, but it's

752
00:37:10,840 --> 00:37:14,960
Speaker 4: just policing. It's literally just they've changed the mentality and said,

753
00:37:15,160 --> 00:37:17,320
Speaker 4: we're just going to keep the people who are committing

754
00:37:17,320 --> 00:37:18,120
Speaker 4: the crimes locked up.

755
00:37:18,239 --> 00:37:19,680
Speaker 5: And this is sadly the tragedy.

756
00:37:19,760 --> 00:37:21,799
Speaker 6: This is the big cycle because this is what the

757
00:37:21,840 --> 00:37:25,840
Speaker 6: fourth time we've been through that it's actually a safe society.

758
00:37:26,080 --> 00:37:28,480
Speaker 6: And then going why do we have all these punitive things.

759
00:37:28,480 --> 00:37:30,480
Speaker 6: They're putting these people in jail for so long. We

760
00:37:30,520 --> 00:37:33,560
Speaker 6: could be more effective if we if we focus on rehabilitation.

761
00:37:33,960 --> 00:37:40,840
Speaker 2: Do they have community Jack Baltimore, I'm talking about Baltimore.

762
00:37:40,840 --> 00:37:41,520
Speaker 2: I don't know if they have.

763
00:37:42,000 --> 00:37:45,160
Speaker 4: I don't know if they have flock, but like, well,

764
00:37:45,239 --> 00:37:48,920
Speaker 4: I mean that looks like it was every flipping city

765
00:37:48,920 --> 00:37:50,400
Speaker 4: in the US had flock cameras.

766
00:37:50,960 --> 00:37:54,319
Speaker 7: I'm like, I'm seeing some flocksters there.

767
00:37:54,400 --> 00:37:58,920
Speaker 4: So they have they have automated Okay, so they have

768
00:37:59,000 --> 00:38:01,120
Speaker 4: they have a different system, but it's similar to flock.

769
00:38:01,560 --> 00:38:03,560
Speaker 2: It's automated vehicle tracking technology.

770
00:38:03,840 --> 00:38:07,400
Speaker 10: Well okay, so but to that point, like to your point,

771
00:38:07,440 --> 00:38:11,960
Speaker 10: they have something called clear instead of flock, instead of

772
00:38:12,000 --> 00:38:17,360
Speaker 10: this mass surveillance. Right, it's the what you just said.

773
00:38:17,760 --> 00:38:24,040
Speaker 9: The the system is we need just policing. We just

774
00:38:24,120 --> 00:38:24,800
Speaker 9: need policing.

775
00:38:25,600 --> 00:38:26,759
Speaker 2: And it's like they do.

776
00:38:26,840 --> 00:38:29,359
Speaker 4: Use a flock system that it's it's called it's called clear,

777
00:38:29,400 --> 00:38:30,920
Speaker 4: it's just a different So.

778
00:38:31,000 --> 00:38:33,480
Speaker 10: But then the other the other side to that also

779
00:38:34,040 --> 00:38:39,560
Speaker 10: is that there are enough private companies that they have surveillance.

780
00:38:39,600 --> 00:38:42,799
Speaker 10: Like look at perfect example, look at the Tyler Robinson case.

781
00:38:43,080 --> 00:38:47,640
Speaker 10: We have footage from VU, we have footage from different

782
00:38:47,680 --> 00:38:54,120
Speaker 10: places that are private entities that they have security. Turning

783
00:38:54,120 --> 00:38:57,319
Speaker 10: Point has security. So we have there's all. There's enough,

784
00:38:57,800 --> 00:39:03,360
Speaker 10: in my opinion, there's enough buildings companies, you know, in

785
00:39:03,560 --> 00:39:10,640
Speaker 10: cities that have private uh surveillance that you can be

786
00:39:10,719 --> 00:39:14,360
Speaker 10: able to find people when something goes on.

787
00:39:15,280 --> 00:39:16,480
Speaker 2: So are you against competition?

788
00:39:17,760 --> 00:39:20,160
Speaker 10: I just I just don't. I think the problem that

789
00:39:20,239 --> 00:39:23,000
Speaker 10: I what I think is that with I think this

790
00:39:23,080 --> 00:39:25,600
Speaker 10: is just like looking at the editor really well, no,

791
00:39:25,800 --> 00:39:27,720
Speaker 10: Here's what I'm saying is like looking at the heat map,

792
00:39:28,480 --> 00:39:31,759
Speaker 10: it's taking over the United State. It's we're getting more

793
00:39:31,800 --> 00:39:34,600
Speaker 10: and more flock cameras in the United States now.

794
00:39:34,840 --> 00:39:37,480
Speaker 4: And wait, actually do we know do we know if

795
00:39:37,520 --> 00:39:40,279
Speaker 4: that's a heat map of all flock safety or is

796
00:39:40,280 --> 00:39:43,920
Speaker 4: that a heat map of like all like police cameras.

797
00:39:44,200 --> 00:39:48,560
Speaker 10: It is def uh it's from dflockmaps dot org.

798
00:39:49,800 --> 00:39:53,279
Speaker 4: Yeah, because like yeah, Like I'm looking it up right now,

799
00:39:53,280 --> 00:39:55,760
Speaker 4: and it is saying that Baltimore does not use flock.

800
00:39:55,840 --> 00:39:58,200
Speaker 4: And yet I'm looking at the map and it pretty

801
00:39:58,200 --> 00:40:01,839
Speaker 4: sure it looks like Baltimore's the I can see, like, yeah,

802
00:40:01,840 --> 00:40:04,160
Speaker 4: you could see DC, Baltimore and Philly.

803
00:40:06,400 --> 00:40:07,360
Speaker 3: What's going on there?

804
00:40:08,360 --> 00:40:10,160
Speaker 4: So I think I think that's probably just a list

805
00:40:10,160 --> 00:40:12,080
Speaker 4: of a map of all cameras.

806
00:40:11,680 --> 00:40:14,000
Speaker 5: Actually, so flu like they're saying a l p R.

807
00:40:14,200 --> 00:40:16,680
Speaker 6: So I think it's the AI supported cameras and there

808
00:40:16,760 --> 00:40:18,200
Speaker 6: might be several companies that do.

809
00:40:18,200 --> 00:40:24,279
Speaker 7: That cameras that that state's a little too blue to

810
00:40:24,320 --> 00:40:25,919
Speaker 7: not have more cameras, you know what I'm saying.

811
00:40:26,000 --> 00:40:28,319
Speaker 4: No, but it's that's a population map though, that's that's

812
00:40:28,360 --> 00:40:31,640
Speaker 4: just a map of all that's all the Portland's got them,

813
00:40:31,640 --> 00:40:32,560
Speaker 4: it's just everywhere else.

814
00:40:32,920 --> 00:40:36,080
Speaker 10: I just think we need up policing and everybody needs

815
00:40:36,120 --> 00:40:39,240
Speaker 10: to conceal carry and we'll be okay.

816
00:40:39,440 --> 00:40:41,200
Speaker 5: One last point before we move on.

817
00:40:41,360 --> 00:40:43,480
Speaker 6: I do think it's funny since we brought up Baltimore

818
00:40:43,640 --> 00:40:46,319
Speaker 6: that in that annoying show The Wire that everyone had

819
00:40:46,360 --> 00:40:47,960
Speaker 6: to say was the best show ever made for about

820
00:40:48,000 --> 00:40:51,399
Speaker 6: a five year period. Uh, there's a subplot where they

821
00:40:51,440 --> 00:40:52,680
Speaker 6: are improved the city.

822
00:40:52,719 --> 00:40:53,920
Speaker 2: Are you crapping on the wire right now?

823
00:40:54,000 --> 00:40:55,680
Speaker 6: Yes, I am, I'm crapping on the wire. There's a

824
00:40:55,680 --> 00:40:58,680
Speaker 6: subplot where they improve the city with Hamsterdam where they

825
00:40:58,719 --> 00:41:02,160
Speaker 6: just legalized drugs and certain area and yea lowers crime dramatically,

826
00:41:02,480 --> 00:41:04,040
Speaker 6: And I'm getting to kick that. That's what happened in

827
00:41:04,040 --> 00:41:07,200
Speaker 6: that dumb lib show. And then in real life, Baltimore

828
00:41:07,239 --> 00:41:10,480
Speaker 6: is leading the way by lowering crime by just grabbing

829
00:41:10,480 --> 00:41:12,239
Speaker 6: all the cl Amsterdam.

830
00:41:11,800 --> 00:41:13,440
Speaker 2: Is a huge it's it's a huge Uh what are

831
00:41:13,480 --> 00:41:15,400
Speaker 2: you talking about. It was a huge disaster in the show.

832
00:41:15,480 --> 00:41:17,440
Speaker 6: Well, it's a huge disaster because everyone's like hooked on

833
00:41:17,520 --> 00:41:19,880
Speaker 6: drugs and stuff. But I believe the actual lowering. They

834
00:41:20,000 --> 00:41:23,080
Speaker 6: portray it as lowering crime when they legalize drugs in Amsterdam.

835
00:41:23,200 --> 00:41:25,160
Speaker 2: I mean they you know, they they well they claimed

836
00:41:25,160 --> 00:41:25,600
Speaker 2: that it did.

837
00:41:25,680 --> 00:41:29,480
Speaker 4: Yeah, and then and then in I think that was

838
00:41:29,520 --> 00:41:33,880
Speaker 4: season three, and then in season four they you know,

839
00:41:33,920 --> 00:41:36,120
Speaker 4: they do have like a low crime area, but it

840
00:41:36,760 --> 00:41:40,600
Speaker 4: was pretty bad and and one other end, and if

841
00:41:40,600 --> 00:41:41,919
Speaker 4: you want to get in a real thought crime, it's

842
00:41:41,920 --> 00:41:43,799
Speaker 4: because the people of Baltimore are actually a little bit

843
00:41:43,800 --> 00:41:46,160
Speaker 4: different from the people of Amsterdam. As it turns out,

844
00:41:46,520 --> 00:41:48,640
Speaker 4: and that's why the drug policy there does not work

845
00:41:48,680 --> 00:41:49,960
Speaker 4: the same way it does in Amsterdam.

846
00:41:50,360 --> 00:41:50,480
Speaker 8: Right.

847
00:41:50,800 --> 00:41:52,799
Speaker 6: Well, I can't be a full expert on that because

848
00:41:52,800 --> 00:41:55,760
Speaker 6: I'm only going secondhand, because I never watched the Wire, because.

849
00:41:55,520 --> 00:41:56,239
Speaker 5: I don't watch TV.

850
00:41:57,400 --> 00:42:02,360
Speaker 7: Your brain that watch TV.

851
00:42:02,680 --> 00:42:03,479
Speaker 5: I don't watch TV.

852
00:42:03,520 --> 00:42:04,160
Speaker 2: You never saw it.

853
00:42:04,200 --> 00:42:05,239
Speaker 5: I watched like one show.

854
00:42:05,480 --> 00:42:08,279
Speaker 2: Actually, I watched The Odyssey, all right.

855
00:42:08,360 --> 00:42:11,479
Speaker 4: I sat through all three frickin hours of that, which

856
00:42:11,480 --> 00:42:13,480
Speaker 4: I did not do it three hours, but you sat

857
00:42:13,520 --> 00:42:14,160
Speaker 4: through all three hours.

858
00:42:14,200 --> 00:42:16,160
Speaker 5: Did even multiply it at like two times speed?

859
00:42:16,400 --> 00:42:16,600
Speaker 3: No?

860
00:42:16,600 --> 00:42:18,759
Speaker 2: No, no, I did not. I watched it at all.

861
00:42:18,840 --> 00:42:21,480
Speaker 4: I I kind of alternated between I went I went

862
00:42:21,560 --> 00:42:26,640
Speaker 4: three x during the scenes, and then I went down

863
00:42:26,719 --> 00:42:30,680
Speaker 4: to like two point two point seven during the during

864
00:42:30,719 --> 00:42:32,200
Speaker 4: this the speaking scenes.

865
00:42:34,920 --> 00:42:37,719
Speaker 12: Hi, folks, Andrew Colvett here, I'd like to tell you

866
00:42:37,760 --> 00:42:40,480
Speaker 12: about my friends over at why Refy. You've probably been

867
00:42:40,520 --> 00:42:42,799
Speaker 12: hearing me talk about Why REFI for some time now.

868
00:42:43,280 --> 00:42:46,319
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869
00:42:46,400 --> 00:42:49,000
Speaker 12: someone you know is struggling with private student loan debt,

870
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Speaker 12: take my advice and give them a call. Maybe you're

871
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Speaker 12: behind on your payments, maybe you're even in default. You

872
00:42:55,760 --> 00:42:58,359
Speaker 12: don't have to live in this nightmare anymore. Why ref

873
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874
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875
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876
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877
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Speaker 12: and we see student after student who's drowning in private

878
00:43:14,000 --> 00:43:16,359
Speaker 12: student loan debt. Many of them don't even know how

879
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Speaker 12: much they owe. Y ref I can help. Just go

880
00:43:19,120 --> 00:43:22,520
Speaker 12: to wy refi dot com. That's the letter why then

881
00:43:22,800 --> 00:43:26,400
Speaker 12: refi dot com. And remember y ref I doesn't care

882
00:43:26,440 --> 00:43:28,320
Speaker 12: what your credit score is. Just go to y refi

883
00:43:28,440 --> 00:43:31,200
Speaker 12: dot com and tell them your friend Andrews sent you.

884
00:43:34,000 --> 00:43:34,920
Speaker 13: Oh I.

885
00:43:37,320 --> 00:43:39,600
Speaker 6: Man, Yeah, that's the big thing about it is for

886
00:43:39,680 --> 00:43:45,680
Speaker 6: a movie that's about like cool, like.

887
00:43:46,640 --> 00:43:47,160
Speaker 3: We could talk.

888
00:43:47,360 --> 00:43:48,759
Speaker 5: You think The Odyssey was the greatest movie?

889
00:43:49,719 --> 00:43:53,839
Speaker 3: No, I never said that those words. Have you ever

890
00:43:53,880 --> 00:43:54,239
Speaker 3: seen it?

891
00:43:54,280 --> 00:43:54,920
Speaker 2: But have you ever seen?

892
00:43:54,960 --> 00:43:55,040
Speaker 1: You?

893
00:43:55,040 --> 00:44:01,440
Speaker 3: Literally and it was entertaining? Is in my favorite I

894
00:44:01,440 --> 00:44:02,280
Speaker 3: find it's so boring.

895
00:44:02,719 --> 00:44:03,200
Speaker 9: I'm going to.

896
00:44:06,000 --> 00:44:08,360
Speaker 6: Mike McCoy just said, I do. I do think that

897
00:44:08,600 --> 00:44:12,720
Speaker 6: last thirty minutes were the best. And sure, specifically because

898
00:44:12,719 --> 00:44:15,800
Speaker 6: a rude house guest had a very funny thing happened

899
00:44:15,800 --> 00:44:18,719
Speaker 6: to him when he realized I won't say it's a

900
00:44:18,800 --> 00:44:20,040
Speaker 6: very funny thing that happened.

901
00:44:21,680 --> 00:44:25,799
Speaker 4: Ever, Boil thousands of years to.

902
00:44:27,719 --> 00:44:31,359
Speaker 3: Actually I did read this twice and I didn't like.

903
00:44:31,840 --> 00:44:34,480
Speaker 7: Really you didn't like reading the Odyssey. I didn't remember

904
00:44:34,520 --> 00:44:36,279
Speaker 7: a lot of it until I was it depends on what,

905
00:44:38,520 --> 00:44:41,359
Speaker 7: and then I was like, wait, the lotus flower. There's

906
00:44:41,360 --> 00:44:44,520
Speaker 7: supposed to be way more about that, Like there's they're

907
00:44:44,560 --> 00:44:45,000
Speaker 7: missing that.

908
00:44:45,400 --> 00:44:47,120
Speaker 10: I mean I read, Yeah, I read The Odyssey in

909
00:44:47,200 --> 00:44:49,279
Speaker 10: high school a couple of times and I still don't

910
00:44:49,280 --> 00:44:51,239
Speaker 10: remember it. But again, it's one of those it's some

911
00:44:51,280 --> 00:44:53,160
Speaker 10: of those books that you when you read in high school,

912
00:44:53,160 --> 00:44:56,040
Speaker 10: you're like, I understand, I remember like parts of this, but.

913
00:44:56,200 --> 00:45:00,480
Speaker 6: Yeah, overall, I'm fine. I'm like glad I saw The Odyssey.

914
00:45:00,520 --> 00:45:02,560
Speaker 6: I'm glad they made the movie. And like, what's weird

915
00:45:02,640 --> 00:45:04,279
Speaker 6: is we had all the hype that it was going

916
00:45:04,320 --> 00:45:07,480
Speaker 6: to be a LIB movie and instead like it was

917
00:45:07,520 --> 00:45:09,919
Speaker 6: like bad, We're just that Christopher Nolan, I think, sort

918
00:45:09,920 --> 00:45:12,120
Speaker 6: of messed up what he decided to focus on, and

919
00:45:12,160 --> 00:45:15,720
Speaker 6: not for a LIB reason, just for Christopher Nolan Moore's

920
00:45:15,760 --> 00:45:18,319
Speaker 6: story yeah, Like I think like there's just like some

921
00:45:18,600 --> 00:45:21,520
Speaker 6: not good writing in it. And the problem he could

922
00:45:21,560 --> 00:45:24,239
Speaker 6: have even made the He could have even made that

923
00:45:24,320 --> 00:45:25,800
Speaker 6: movie that he wanted to make.

924
00:45:25,640 --> 00:45:28,360
Speaker 7: Where he subverts what the Odyssey.

925
00:45:28,000 --> 00:45:30,719
Speaker 6: Is about and makes it more negative, makes it more

926
00:45:30,800 --> 00:45:33,319
Speaker 6: we're destroying civilization and that's bad. He could have done

927
00:45:33,320 --> 00:45:36,200
Speaker 6: that if he had written it better. But instead we

928
00:45:36,239 --> 00:45:37,800
Speaker 6: straight up ep scenes. There is a scene in the

929
00:45:37,840 --> 00:45:41,680
Speaker 6: Odyssey if you haven't seen it, where Odysseus goes to

930
00:45:41,719 --> 00:45:44,160
Speaker 6: his wife and says, yeah, we're sailing off to Troy,

931
00:45:44,280 --> 00:45:45,680
Speaker 6: and you know, Agamemnon says.

932
00:45:45,480 --> 00:45:47,600
Speaker 3: It's but we're actually doing it.

933
00:45:47,920 --> 00:45:51,520
Speaker 6: He's actually doing it for socioeconomic reasons. He wants to

934
00:45:51,560 --> 00:45:54,319
Speaker 6: seize the trade routes bro Is this like.

935
00:45:54,320 --> 00:45:58,080
Speaker 7: My ap ap world history Bronze It sounds like what

936
00:45:58,239 --> 00:46:00,520
Speaker 7: laughter would say. Even if you wanted says do it

937
00:46:00,560 --> 00:46:03,040
Speaker 7: for that, you should say it like a Memnon. He

938
00:46:03,080 --> 00:46:06,000
Speaker 7: wants to capture where you know, every ship that bears

939
00:46:06,040 --> 00:46:08,960
Speaker 7: spices goes by Troy, and he wants to have all

940
00:46:09,000 --> 00:46:10,600
Speaker 7: of the weal from that, Like you can say it

941
00:46:10,600 --> 00:46:13,680
Speaker 7: in a more cool Bronze age way instead of he's

942
00:46:13,719 --> 00:46:16,440
Speaker 7: doing it for modern English yeah, in modern English it

943
00:46:16,480 --> 00:46:19,520
Speaker 7: says he could about the trade roots and socioeconomic factors.

944
00:46:20,520 --> 00:46:25,359
Speaker 4: It's so like Wikipedia when he's speaking like that, Like

945
00:46:25,600 --> 00:46:28,480
Speaker 4: there isn't even anything in the Odyssey that says anything

946
00:46:28,520 --> 00:46:29,640
Speaker 4: about that at all.

947
00:46:31,600 --> 00:46:34,120
Speaker 7: And wait, actually I had a question for you. Yes,

948
00:46:35,280 --> 00:46:37,799
Speaker 7: I cannot remember in the book. Is there is that

949
00:46:37,920 --> 00:46:41,160
Speaker 7: scene where he's throwing the puppies off the cliff? Is

950
00:46:41,200 --> 00:46:43,839
Speaker 7: that in the book? Because I do not remember that?

951
00:46:44,160 --> 00:46:46,880
Speaker 7: And why did Christopher Nolan decide to add a scene

952
00:46:46,920 --> 00:46:49,680
Speaker 7: I'm a guy throwing puppies off a cliff and then

953
00:46:49,760 --> 00:46:52,120
Speaker 7: make such a big portion of the movie about like

954
00:46:52,200 --> 00:46:53,760
Speaker 7: Zeus's law, you must.

955
00:46:53,520 --> 00:46:55,680
Speaker 3: Take care of the baker when they come into your home.

956
00:46:55,760 --> 00:46:57,560
Speaker 7: That scene when you have to take care of that,

957
00:46:59,480 --> 00:47:02,920
Speaker 7: like throwing what about the puppies? Very watching that, I

958
00:47:02,920 --> 00:47:05,040
Speaker 7: did a double take and thought, did I did I see?

959
00:47:05,200 --> 00:47:07,040
Speaker 7: Is he just throwing those puppies off the cliff? And

960
00:47:07,920 --> 00:47:09,960
Speaker 7: it took until everyone else mentioned it that to realize

961
00:47:09,960 --> 00:47:12,279
Speaker 7: that that was happening. So yes, if you guys haven't

962
00:47:12,280 --> 00:47:17,120
Speaker 7: seen the Odyssey, I'm gonna was that the guy played by.

963
00:47:17,360 --> 00:47:21,040
Speaker 3: Okay, I was like, why did Christopher that seem one hard?

964
00:47:21,080 --> 00:47:23,080
Speaker 6: That was one of the most Robert Eggers scenes you

965
00:47:23,080 --> 00:47:24,680
Speaker 6: could do. Just yeah, they would totally do that in

966
00:47:24,719 --> 00:47:28,120
Speaker 6: ancient times. Just puppies, dude, they chucked babies off cliffs

967
00:47:28,120 --> 00:47:33,040
Speaker 6: if they want them. That would more than No, that's

968
00:47:33,120 --> 00:47:34,960
Speaker 6: like all of Greek civilization would do that.

969
00:47:34,960 --> 00:47:38,400
Speaker 5: That's the story of It's more in the movie.

970
00:47:38,480 --> 00:47:40,640
Speaker 7: It was in Odyssey. They threw a baby off a cliff.

971
00:47:41,320 --> 00:47:44,200
Speaker 7: It's in the movie. Remember Agamemnon. Oh yeah, did they

972
00:47:44,200 --> 00:47:46,320
Speaker 7: have as he threw and that's.

973
00:47:46,160 --> 00:47:48,680
Speaker 2: Why wife was I thought I thought he stabbed her.

974
00:47:48,800 --> 00:47:54,799
Speaker 5: No, that's mix up things. Or did they throw remember.

975
00:47:54,560 --> 00:47:57,560
Speaker 3: He like walked to the like the the ocean on

976
00:47:57,600 --> 00:47:58,319
Speaker 3: the cliff.

977
00:47:58,239 --> 00:48:01,840
Speaker 2: The ocean, Yeah he was, Yeah, it was the ocean.

978
00:48:01,840 --> 00:48:02,640
Speaker 2: That's right. That's right.

979
00:48:02,920 --> 00:48:04,800
Speaker 6: Yeah, I thought he I thought he or whatever. But

980
00:48:05,120 --> 00:48:07,200
Speaker 6: that's that's so that's a specific sacrifice they did. But

981
00:48:07,200 --> 00:48:09,480
Speaker 6: also just in ancient times they would do that exposure stuff.

982
00:48:09,600 --> 00:48:11,480
Speaker 6: It was not it was a bleak time. We need

983
00:48:11,480 --> 00:48:12,760
Speaker 6: a Christianity to invent.

984
00:48:13,120 --> 00:48:16,280
Speaker 2: Not because she was a that was like for victory

985
00:48:16,320 --> 00:48:19,080
Speaker 2: in battle. That wasn't because she was a run.

986
00:48:20,680 --> 00:48:23,080
Speaker 7: All right, So it was because it was because I'm

987
00:48:23,080 --> 00:48:25,040
Speaker 7: glad we did that someone wanted us start to give

988
00:48:25,040 --> 00:48:27,919
Speaker 7: our thoughts about the Odyssey, So I'm glad we did.

989
00:48:28,440 --> 00:48:30,040
Speaker 5: I really want to hit this, Wait.

990
00:48:29,880 --> 00:48:32,840
Speaker 4: Can I I just want other line about Odyssey, just

991
00:48:32,840 --> 00:48:33,480
Speaker 4: to get it off that.

992
00:48:33,600 --> 00:48:34,799
Speaker 2: I think that the whole thing was.

993
00:48:34,760 --> 00:48:39,279
Speaker 4: Just a rip off of the hurt Locker, and I think, no,

994
00:48:39,360 --> 00:48:40,000
Speaker 4: think about it.

995
00:48:40,160 --> 00:48:44,480
Speaker 6: Whoa no, no, revoke that revoke that.

996
00:48:44,560 --> 00:48:44,799
Speaker 5: I think.

997
00:48:44,880 --> 00:48:46,719
Speaker 6: I think he's got a point there. It's been a

998
00:48:46,719 --> 00:48:48,520
Speaker 6: while since I saw the hurt Locker. I watch the

999
00:48:48,600 --> 00:48:50,080
Speaker 6: h I think I saw it when it was literally

1000
00:48:50,120 --> 00:48:52,480
Speaker 6: in theaters, but I think that kind of was I

1001
00:48:52,480 --> 00:48:56,640
Speaker 6: remember that scene where the hurt Locker guy goes like

1002
00:48:56,880 --> 00:48:58,919
Speaker 6: he comes home from the war and he goes, our

1003
00:48:59,400 --> 00:49:04,640
Speaker 6: our age of American Empire is collapsing, Isn't that?

1004
00:49:04,960 --> 00:49:07,560
Speaker 4: That's It's literally like if you go watch that movie,

1005
00:49:07,600 --> 00:49:10,799
Speaker 4: that the tone and the and the pacing and the

1006
00:49:10,800 --> 00:49:12,759
Speaker 4: way that it's just like Matt Dave and then no,

1007
00:49:12,840 --> 00:49:14,799
Speaker 4: that's not Matt Dame and Matt Damon was in Green Zone,

1008
00:49:15,080 --> 00:49:17,080
Speaker 4: which came out around the same time, so I kind

1009
00:49:17,120 --> 00:49:19,080
Speaker 4: of in my head think of them as very similar.

1010
00:49:19,480 --> 00:49:22,640
Speaker 4: But it was like it was it's like he's just

1011
00:49:22,680 --> 00:49:25,520
Speaker 4: so he's brooding and he's like obviously dealing with PTSD

1012
00:49:25,760 --> 00:49:29,040
Speaker 4: and it's like it's like just another Vietnam.

1013
00:49:28,640 --> 00:49:30,200
Speaker 2: Movie, Iraq movie.

1014
00:49:30,719 --> 00:49:33,479
Speaker 4: But now it's like it's like the boomers just making

1015
00:49:33,520 --> 00:49:34,720
Speaker 4: another Vietnam movie.

1016
00:49:34,760 --> 00:49:35,839
Speaker 2: Like that's really all it was.

1017
00:49:36,080 --> 00:49:38,440
Speaker 3: Was there a giant cyclops in that one? I can't remember.

1018
00:49:38,640 --> 00:49:42,080
Speaker 2: Yes, yes, yes it was. It was. He was named

1019
00:49:42,080 --> 00:49:42,760
Speaker 2: Saddam Musin.

1020
00:49:43,000 --> 00:49:43,920
Speaker 3: Yeah, it was.

1021
00:49:43,960 --> 00:49:47,280
Speaker 4: Actually dad was the cyclops and he's racked gilt.

1022
00:49:48,760 --> 00:49:51,520
Speaker 3: No, no, the cyclops was the son of Saddam Muse.

1023
00:49:51,640 --> 00:49:54,640
Speaker 6: And they wheeled and they wheeled a giant goat up

1024
00:49:54,640 --> 00:49:55,760
Speaker 6: to the border of Iraq.

1025
00:49:55,840 --> 00:49:56,480
Speaker 3: And he makes me.

1026
00:49:57,960 --> 00:49:58,320
Speaker 5: Different.

1027
00:49:58,360 --> 00:50:02,000
Speaker 3: How that hell cyclo make the milk?

1028
00:50:02,719 --> 00:50:05,560
Speaker 5: How did he make the milk a little bit different?

1029
00:50:08,440 --> 00:50:08,680
Speaker 3: You know?

1030
00:50:08,719 --> 00:50:11,560
Speaker 7: How did he his hands were so big? How did

1031
00:50:11,600 --> 00:50:15,920
Speaker 7: he milk the sheep to make cheese? Think about it?

1032
00:50:16,160 --> 00:50:20,759
Speaker 7: Think about the movie. They Okay, listen, okay. Odysseus walks

1033
00:50:20,760 --> 00:50:24,919
Speaker 7: into the cave and he's like and he's like, oh,

1034
00:50:25,040 --> 00:50:27,680
Speaker 7: cheese delicious. Okay the bag of cheese is this bit.

1035
00:50:27,680 --> 00:50:30,879
Speaker 2: You just squeeze under his sheep. You just squeezed the whole.

1036
00:50:32,160 --> 00:50:35,480
Speaker 3: The hands of the cyclops, the size of this studio.

1037
00:50:36,040 --> 00:50:39,120
Speaker 2: How did he heed the whole sheep? He just picks

1038
00:50:39,120 --> 00:50:39,480
Speaker 2: it up and.

1039
00:50:41,040 --> 00:50:42,600
Speaker 3: He is like a dish rack.

1040
00:50:42,680 --> 00:50:46,279
Speaker 7: He wrings it out, sums up.

1041
00:50:48,960 --> 00:50:51,240
Speaker 3: I don't like the whole cheese sequence.

1042
00:50:51,719 --> 00:50:54,719
Speaker 2: Is Syclops is probably the best part of the film.

1043
00:50:54,800 --> 00:50:56,000
Speaker 5: I'm gonna keep thinking about this.

1044
00:50:56,160 --> 00:50:58,759
Speaker 3: Yeah, you think right. I left the theater.

1045
00:50:58,800 --> 00:51:02,600
Speaker 2: Everything with everything, everything was downhill from the cydclaps. Half

1046
00:51:02,640 --> 00:51:05,120
Speaker 2: the way was well, No, everything was absolutely terrible.

1047
00:51:05,160 --> 00:51:08,040
Speaker 9: Oh I've heard I've heard good or terrible.

1048
00:51:08,120 --> 00:51:11,000
Speaker 6: No, she was was fine again, they gave her bad

1049
00:51:11,080 --> 00:51:17,120
Speaker 6: line so at one point was but I had the

1050
00:51:17,480 --> 00:51:19,960
Speaker 6: resume I have Master.

1051
00:51:21,640 --> 00:51:22,160
Speaker 3: University.

1052
00:51:22,520 --> 00:51:24,439
Speaker 10: I actually love the fact that I have not seen

1053
00:51:24,480 --> 00:51:26,279
Speaker 10: this movie.

1054
00:51:26,600 --> 00:51:27,839
Speaker 3: Guys. I left the theater.

1055
00:51:27,960 --> 00:51:30,640
Speaker 7: I legitimately left theater because I saw it at like midnight,

1056
00:51:30,800 --> 00:51:32,400
Speaker 7: and I got out at three am.

1057
00:51:33,080 --> 00:51:34,960
Speaker 3: And then I walk out at three am, and I'm like,

1058
00:51:35,440 --> 00:51:36,760
Speaker 3: why did they throw the puppies?

1059
00:51:36,760 --> 00:51:39,560
Speaker 7: I don't how did he get the cheese out of

1060
00:51:39,600 --> 00:51:40,040
Speaker 7: the goats?

1061
00:51:41,920 --> 00:51:45,840
Speaker 9: And then anyways, that those are the only things that

1062
00:51:45,880 --> 00:51:46,600
Speaker 9: you were thinking about.

1063
00:51:46,920 --> 00:51:50,560
Speaker 7: You gotta make things okay whatever, All right, all right,

1064
00:51:51,080 --> 00:51:53,879
Speaker 7: all right, glad we got that. We need to talk

1065
00:51:53,920 --> 00:51:59,120
Speaker 7: about watches now. All right, So this watches, this.

1066
00:51:59,040 --> 00:52:02,360
Speaker 6: Is a fun topic. So this is Kevin O'Leary, famous

1067
00:52:02,480 --> 00:52:06,480
Speaker 6: rich person of America, co host of Shark Tank.

1068
00:52:06,520 --> 00:52:06,800
Speaker 3: Correct.

1069
00:52:07,000 --> 00:52:10,000
Speaker 5: Yes, so, and he's talking.

1070
00:52:10,000 --> 00:52:12,600
Speaker 6: He has a viral clip where he's on some he's

1071
00:52:12,719 --> 00:52:16,319
Speaker 6: uh talking and he's talking about a watch and how

1072
00:52:16,360 --> 00:52:20,360
Speaker 6: excited he was to obtain not merely a rolex, but

1073
00:52:20,520 --> 00:52:23,320
Speaker 6: I guess the there's like some rolex that's like the

1074
00:52:23,719 --> 00:52:25,880
Speaker 6: tri force of watches or something.

1075
00:52:26,400 --> 00:52:27,680
Speaker 5: Uh, let's do clip eleven.

1076
00:52:28,600 --> 00:52:32,960
Speaker 11: It is the grail piece of all watches. It is

1077
00:52:33,280 --> 00:52:40,120
Speaker 11: the white gold, ruby and diamond Daytona. Grown men weep

1078
00:52:40,800 --> 00:52:45,920
Speaker 11: just looking at pictures of this mystical beast? Does it exist?

1079
00:52:46,400 --> 00:52:49,440
Speaker 11: And I got on my knees and begged for it, begged,

1080
00:52:49,520 --> 00:52:55,160
Speaker 11: I said, could you consider just after all our relationship

1081
00:52:55,280 --> 00:52:58,439
Speaker 11: time together and I've been a great steward for the brand.

1082
00:52:58,440 --> 00:53:01,319
Speaker 11: I've never sold a rolex, talked about the importance of

1083
00:53:01,320 --> 00:53:06,319
Speaker 11: the brand. Isn't this the moment to consider if the mist,

1084
00:53:06,440 --> 00:53:08,920
Speaker 11: if the mystical beasts exists, that I would have it

1085
00:53:08,960 --> 00:53:12,879
Speaker 11: on my wrist and then back and forth, back and forth,

1086
00:53:12,920 --> 00:53:17,600
Speaker 11: back and forth. The morning here in La before the oscars,

1087
00:53:17,680 --> 00:53:20,120
Speaker 11: the phone rings They gave me an address and they

1088
00:53:20,120 --> 00:53:24,280
Speaker 11: said be there, and there it was. We opened the box.

1089
00:53:24,760 --> 00:53:27,919
Speaker 11: The entire rold Like staff had never seen it. All

1090
00:53:27,960 --> 00:53:30,839
Speaker 11: the dealers from around LA came to see it, and

1091
00:53:30,920 --> 00:53:33,480
Speaker 11: for an hour we looked at it. We didn't touch it.

1092
00:53:33,800 --> 00:53:34,640
Speaker 11: We just looked at it and.

1093
00:53:34,680 --> 00:53:37,160
Speaker 3: Said, it's real. It's real.

1094
00:53:37,360 --> 00:53:38,600
Speaker 9: Did you cry? I did?

1095
00:53:38,920 --> 00:53:41,440
Speaker 11: And I worried. I was. I was weeping.

1096
00:53:41,480 --> 00:53:42,280
Speaker 9: It was mine.

1097
00:53:42,440 --> 00:53:42,960
Speaker 2: I own it.

1098
00:53:43,080 --> 00:53:45,400
Speaker 11: I have that piece. Do you know how many people

1099
00:53:45,400 --> 00:53:49,960
Speaker 11: have that piece? Maybe nobody like it's it's not known

1100
00:53:50,200 --> 00:53:56,880
Speaker 11: that watch. Maybe it would trade if it traded for

1101
00:53:57,440 --> 00:54:00,600
Speaker 11: one point eight million dollars walking around with thirty.

1102
00:54:01,920 --> 00:54:04,759
Speaker 9: Uh, I don't.

1103
00:54:05,760 --> 00:54:10,120
Speaker 4: Yeah, this is why we're having a socialist revolution right now.

1104
00:54:10,200 --> 00:54:12,040
Speaker 5: That's what I want to talk about. It is like,

1105
00:54:12,400 --> 00:54:13,880
Speaker 5: this is going to go on viral.

1106
00:54:13,960 --> 00:54:16,759
Speaker 6: On the take has basically been are we going to

1107
00:54:16,800 --> 00:54:19,600
Speaker 6: have socialist is ma'am Donnie going to win because our

1108
00:54:19,719 --> 00:54:22,800
Speaker 6: rich Americans cannot help themselves. We're going on podcasts and

1109
00:54:23,600 --> 00:54:28,239
Speaker 6: talking about their extremely surreal love for a one point

1110
00:54:28,280 --> 00:54:31,279
Speaker 6: eight million dollar object to place upon their wrist, and

1111
00:54:31,320 --> 00:54:34,560
Speaker 6: how they craved it, how they connive for it, how

1112
00:54:34,560 --> 00:54:38,399
Speaker 6: they begged for it, how they sobbed upon seeing it.

1113
00:54:39,080 --> 00:54:40,160
Speaker 5: And I think a lot of people are.

1114
00:54:40,080 --> 00:54:42,360
Speaker 6: Gonna look at that and say, you know what wealth

1115
00:54:42,400 --> 00:54:43,759
Speaker 6: tax They're gonna say, They're gonna look at it and

1116
00:54:43,800 --> 00:54:46,000
Speaker 6: say wealth tax time you're taking your stuff?

1117
00:54:46,400 --> 00:54:48,800
Speaker 5: Yeah, And I kind of wonder if they're going to

1118
00:54:48,840 --> 00:54:49,120
Speaker 5: be right.

1119
00:54:49,200 --> 00:54:57,560
Speaker 10: It's very that's very you know, giant diamond chain.

1120
00:54:58,480 --> 00:55:02,319
Speaker 3: Asque it is. Yeah, it is very low.

1121
00:55:03,080 --> 00:55:04,719
Speaker 9: It feels low iq.

1122
00:55:06,600 --> 00:55:07,279
Speaker 5: It kind of does.

1123
00:55:07,600 --> 00:55:08,279
Speaker 2: It does right.

1124
00:55:08,320 --> 00:55:11,200
Speaker 5: I feel like we are getting I have nothing against it.

1125
00:55:11,200 --> 00:55:12,960
Speaker 10: It's like you get so rich that all of a

1126
00:55:12,960 --> 00:55:17,440
Speaker 10: sudden you start almost like acting poor, Like you start

1127
00:55:17,480 --> 00:55:20,520
Speaker 10: like you go so far one side that you almost like, well.

1128
00:55:20,480 --> 00:55:21,920
Speaker 5: So it's not like that.

1129
00:55:21,920 --> 00:55:23,840
Speaker 6: What I what I think it does show is I

1130
00:55:23,920 --> 00:55:28,319
Speaker 6: think we've had a shift of behavioral values with our

1131
00:55:28,440 --> 00:55:30,440
Speaker 6: rich people. And I think it actually reflects I think

1132
00:55:30,480 --> 00:55:32,560
Speaker 6: it reflects. Hear me out. This is my thought crime.

1133
00:55:32,800 --> 00:55:36,319
Speaker 6: Demographic change in America. That America used to have a ruling.

1134
00:55:36,160 --> 00:55:39,320
Speaker 7: Elite that was it was wasps.

1135
00:55:39,480 --> 00:55:42,839
Speaker 6: It was like Northern Europeans, and that came with it

1136
00:55:43,000 --> 00:55:45,560
Speaker 6: certain cultural behaviors and there was a lot of restraint,

1137
00:55:45,880 --> 00:55:48,480
Speaker 6: there was a lot of being private. It came with

1138
00:55:48,520 --> 00:55:52,280
Speaker 6: this whole noblest oblige, Like you don't really flaunt wealth

1139
00:55:52,280 --> 00:55:55,880
Speaker 6: in people's faces. You don't get too garish about things.

1140
00:55:56,800 --> 00:55:59,960
Speaker 6: And in most of the world that's not the norm.

1141
00:56:00,120 --> 00:56:02,640
Speaker 6: In large chunks of the world, wealth is something that

1142
00:56:02,680 --> 00:56:06,680
Speaker 6: if you possess it, you like offishly display it, you

1143
00:56:06,719 --> 00:56:09,920
Speaker 6: garishly display it. You get a gold plated car and

1144
00:56:09,960 --> 00:56:13,400
Speaker 6: a gold plated AK forty seven and they gold plated

1145
00:56:13,480 --> 00:56:16,640
Speaker 6: watch and why not, and you really.

1146
00:56:16,640 --> 00:56:18,040
Speaker 5: Rub it in your face, like that's the wrom.

1147
00:56:18,040 --> 00:56:20,160
Speaker 6: You go to Saudi Arabia and it's not gonna be

1148
00:56:20,200 --> 00:56:22,480
Speaker 6: a mystery who's rich, Whereas in America we have the

1149
00:56:22,480 --> 00:56:25,720
Speaker 6: cultural value of like, oh yeah, the billionaire who dresses

1150
00:56:25,800 --> 00:56:27,600
Speaker 6: like a farmer and drives around in a station.

1151
00:56:28,040 --> 00:56:29,799
Speaker 2: But even with what would you blake? Would you say?

1152
00:56:29,840 --> 00:56:32,040
Speaker 4: That's also kind of like kind of British in a way.

1153
00:56:32,440 --> 00:56:33,960
Speaker 4: I've just come I was in London, so I'm kind

1154
00:56:33,960 --> 00:56:36,680
Speaker 4: of thinking that, like you don't always no, I don't

1155
00:56:36,719 --> 00:56:38,719
Speaker 4: know talking about like the palaces. I just mean, like,

1156
00:56:39,200 --> 00:56:43,600
Speaker 4: you know, there's this sort of like when you said

1157
00:56:43,600 --> 00:56:47,320
Speaker 4: about the wasp culture of sort of not flaunting things.

1158
00:56:47,600 --> 00:56:49,799
Speaker 4: It's like a Protestant thing. Really, I would say like,

1159
00:56:50,239 --> 00:56:55,840
Speaker 4: you're probably matches Protestant. Yeah, like British, Like there was

1160
00:56:55,840 --> 00:56:59,480
Speaker 4: a whole thing when we were at Seapack, UK, there

1161
00:56:59,520 --> 00:57:02,120
Speaker 4: was a whole thing saying that. Like many of US

1162
00:57:02,480 --> 00:57:05,600
Speaker 4: American speakers that came up they said, wow, you know,

1163
00:57:05,760 --> 00:57:09,600
Speaker 4: I had some like BBC, you know, interview and they

1164
00:57:09,600 --> 00:57:12,560
Speaker 4: were like, they're like, do you think that you're mixing

1165
00:57:12,560 --> 00:57:15,400
Speaker 4: God in politics too much? And I was like mixing

1166
00:57:15,440 --> 00:57:16,280
Speaker 4: God in politics?

1167
00:57:16,280 --> 00:57:16,880
Speaker 2: Like what do you mean?

1168
00:57:16,960 --> 00:57:19,760
Speaker 4: Like that's just how we always talk in the US.

1169
00:57:19,840 --> 00:57:21,480
Speaker 4: And she's like, well, we don't do that in Britain.

1170
00:57:21,520 --> 00:57:25,160
Speaker 4: We never do that. That's considered like a personal belief

1171
00:57:25,200 --> 00:57:28,560
Speaker 4: that you just don't talk about publicly. And and there

1172
00:57:28,600 --> 00:57:30,120
Speaker 4: are a number of other people who said that to me,

1173
00:57:30,160 --> 00:57:31,960
Speaker 4: and I said, I and it kind of goes along

1174
00:57:32,000 --> 00:57:35,240
Speaker 4: with the lines of what you're saying that wealth religious beliefs,

1175
00:57:35,240 --> 00:57:37,800
Speaker 4: Like it's just like it's a general idea that being

1176
00:57:37,920 --> 00:57:43,080
Speaker 4: reserved is is considered more polite and more more well

1177
00:57:43,160 --> 00:57:44,880
Speaker 4: mannered as opposed.

1178
00:57:44,480 --> 00:57:45,520
Speaker 2: To you know, all of this.

1179
00:57:47,600 --> 00:57:49,960
Speaker 7: What's the most that you think is reasonable to spend

1180
00:57:49,960 --> 00:57:50,520
Speaker 7: on a watch?

1181
00:57:52,160 --> 00:57:54,200
Speaker 3: I don't think it matters.

1182
00:57:53,840 --> 00:57:55,880
Speaker 2: I Like, I'm not a watch guy.

1183
00:57:55,960 --> 00:57:56,360
Speaker 5: You're pro.

1184
00:57:56,560 --> 00:58:01,120
Speaker 6: You're pros Have you said sobbed over a watch?

1185
00:58:01,200 --> 00:58:01,880
Speaker 3: Mikey I.

1186
00:58:03,560 --> 00:58:07,280
Speaker 7: We simultaneously tell people you can make it in America

1187
00:58:07,880 --> 00:58:10,400
Speaker 7: and you can start a business and be successful and

1188
00:58:10,560 --> 00:58:15,160
Speaker 7: enjoy these luxuries, and then we're also saying you are

1189
00:58:15,240 --> 00:58:18,440
Speaker 7: now the reason socialism is coming, because you are buying

1190
00:58:18,600 --> 00:58:22,440
Speaker 7: expensive things and living luxurious because you have achieved so

1191
00:58:22,520 --> 00:58:24,520
Speaker 7: much and done such a great job in the world

1192
00:58:24,560 --> 00:58:28,200
Speaker 7: of business. And on top of that, like context is important,

1193
00:58:28,200 --> 00:58:30,920
Speaker 7: Like Kevin O'Leary, it's no different than somebody that's like

1194
00:58:31,000 --> 00:58:34,520
Speaker 7: super into cars or super into like shoes or whatever.

1195
00:58:34,560 --> 00:58:37,560
Speaker 7: It is, Like there are different luxury items that people

1196
00:58:37,640 --> 00:58:40,800
Speaker 7: obsess over, and there's so much about it, Like watches

1197
00:58:40,840 --> 00:58:43,360
Speaker 7: are actually very cool, like the way they work, the

1198
00:58:43,400 --> 00:58:46,040
Speaker 7: way that like they're they're built in all these things right,

1199
00:58:46,760 --> 00:58:49,320
Speaker 7: And so for Kevin O'Leary, like he actually wears two

1200
00:58:49,320 --> 00:58:52,200
Speaker 7: watches because he has his businesses are in Asia, so

1201
00:58:52,240 --> 00:58:55,200
Speaker 7: he has one watch that's set to his it's like Singapore,

1202
00:58:55,560 --> 00:58:57,840
Speaker 7: and then one that's set to like New York. And

1203
00:58:57,880 --> 00:59:00,800
Speaker 7: he loves watches, like his entire life is about watches.

1204
00:59:01,240 --> 00:59:01,919
Speaker 3: For the most part.

1205
00:59:02,040 --> 00:59:04,800
Speaker 7: He doesn't live a luxurious life, Like he lives in

1206
00:59:04,840 --> 00:59:08,080
Speaker 7: a condo in a high rise and like that's kind

1207
00:59:08,120 --> 00:59:12,200
Speaker 7: of his life. He drives nice cars, he wears nice suits,

1208
00:59:12,200 --> 00:59:14,760
Speaker 7: he's on Shark Tank. But not just that, he also

1209
00:59:15,000 --> 00:59:18,000
Speaker 7: invests in people that have visions, Like he is a

1210
00:59:18,040 --> 00:59:21,080
Speaker 7: guy that that there's young entrepreneurs and he's like, I

1211
00:59:21,200 --> 00:59:24,800
Speaker 7: want you to make it. I will invest, And like, a,

1212
00:59:25,000 --> 00:59:26,880
Speaker 7: why exactly are we supposed to punish him?

1213
00:59:26,920 --> 00:59:27,560
Speaker 3: Like, I get it.

1214
00:59:27,640 --> 00:59:31,080
Speaker 7: The rich are like getting richer, and they're like rubbing

1215
00:59:31,120 --> 00:59:33,200
Speaker 7: it in the face of people that like can't make it,

1216
00:59:33,280 --> 00:59:35,960
Speaker 7: you know, make the means to pay for rent or

1217
00:59:36,000 --> 00:59:39,200
Speaker 7: groceries for that matter. But I just don't think blaming

1218
00:59:39,200 --> 00:59:42,480
Speaker 7: it on Kevin O'Leary for the reason we have a

1219
00:59:42,560 --> 00:59:46,160
Speaker 7: climb in socialism is necessary and or good and.

1220
00:59:46,120 --> 00:59:47,439
Speaker 5: So that's the flip side, I think.

1221
00:59:48,920 --> 00:59:51,360
Speaker 2: But but that doesn't make it not true.

1222
00:59:52,160 --> 00:59:53,840
Speaker 4: And we did and the truth of the matter is

1223
00:59:53,880 --> 00:59:55,640
Speaker 4: we do have a K shaped economy and we've had

1224
00:59:55,680 --> 00:59:57,960
Speaker 4: one since two thousand and eight. And what is K

1225
00:59:58,080 --> 01:00:00,160
Speaker 4: shaped economy? That means the rich are getting rich, sure,

1226
01:00:00,240 --> 01:00:03,360
Speaker 4: and the poor are getting poor. And so it's like

1227
01:00:03,440 --> 01:00:06,000
Speaker 4: there's this they call it the I think we talked

1228
01:00:06,000 --> 01:00:08,760
Speaker 4: about here the silent recession where if you're under a

1229
01:00:08,760 --> 01:00:13,280
Speaker 4: certain if you're under a certain pay level, that income level,

1230
01:00:13,400 --> 01:00:21,760
Speaker 4: that you're just living in recession era recession era economics finances,

1231
01:00:21,880 --> 01:00:23,760
Speaker 4: And and then you've got a guy like Kevin O'Leary

1232
01:00:23,800 --> 01:00:25,720
Speaker 4: talking about buying a two million dollar watch, and you

1233
01:00:25,760 --> 01:00:28,280
Speaker 4: wonder why. You wonder why I'm on Dommy's popular. You

1234
01:00:28,320 --> 01:00:31,000
Speaker 4: wonder why DSA is like beating the crap out of

1235
01:00:31,080 --> 01:00:34,320
Speaker 4: Democrats all over the country and by the way, beating

1236
01:00:34,400 --> 01:00:36,880
Speaker 4: us in UH in general elections.

1237
01:00:36,920 --> 01:00:37,880
Speaker 2: It's because of crap.

1238
01:00:37,720 --> 01:00:41,160
Speaker 3: Like this, but that, But what's the solution, like what

1239
01:00:41,360 --> 01:00:43,360
Speaker 3: so then we need to do? What's the solution?

1240
01:00:43,480 --> 01:00:47,560
Speaker 4: The solution isuous, The solution is nationalist populism can actually do.

1241
01:00:47,640 --> 01:00:50,680
Speaker 7: What is the solution to getting Kevin O'Leary not to

1242
01:00:50,720 --> 01:00:53,480
Speaker 7: do that? Take it away from him, shame him, make

1243
01:00:53,520 --> 01:00:54,520
Speaker 7: sure that you can't post.

1244
01:00:54,480 --> 01:00:57,000
Speaker 2: On social media, absolutely, but he should actually be.

1245
01:00:56,960 --> 01:01:00,880
Speaker 7: Are capitalists like we are fundamentally pro I'm not spending

1246
01:01:00,880 --> 01:01:02,680
Speaker 7: their wealth how they want to spend their wealth.

1247
01:01:03,000 --> 01:01:04,320
Speaker 2: I don't. I don't think we should.

1248
01:01:04,320 --> 01:01:06,920
Speaker 4: I don't think we should center our our our our

1249
01:01:06,960 --> 01:01:10,040
Speaker 4: country around capital I think that's I think that's not Christian.

1250
01:01:10,520 --> 01:01:14,840
Speaker 10: I think it is in the same vein as I like,

1251
01:01:15,400 --> 01:01:20,320
Speaker 10: I hate listening to Hollywood actors talk about politics because

1252
01:01:21,040 --> 01:01:24,919
Speaker 10: you're not like it's your own personal thing. Quit telling

1253
01:01:24,920 --> 01:01:28,959
Speaker 10: me how to vote, or like the dude who plays

1254
01:01:29,000 --> 01:01:33,320
Speaker 10: Hulk trying to be a social justice warrior. I think

1255
01:01:33,360 --> 01:01:35,240
Speaker 10: it's just one of those things like Kevin O'Leary can

1256
01:01:35,280 --> 01:01:38,000
Speaker 10: absolutely love watches and I would.

1257
01:01:37,760 --> 01:01:41,520
Speaker 2: Love I Reacher. Didn't he just pop off?

1258
01:01:41,800 --> 01:01:43,160
Speaker 9: Yes, that same guy the.

1259
01:01:44,960 --> 01:01:48,760
Speaker 10: Talking about and all of this, all of this stuff.

1260
01:01:48,840 --> 01:01:51,400
Speaker 10: So I think it's that where it's like perfect example,

1261
01:01:51,480 --> 01:01:53,560
Speaker 10: like Kevin O'Leary talking about how much he loves a

1262
01:01:53,600 --> 01:01:57,320
Speaker 10: watch and how much he wants a specific watch. Dude,

1263
01:01:57,560 --> 01:02:02,680
Speaker 10: awesome cut there, like don't don't go on, don't like.

1264
01:02:04,960 --> 01:02:08,160
Speaker 3: Nature. He's the I think that's where he's a Hollywood guy.

1265
01:02:08,200 --> 01:02:09,200
Speaker 3: He's on TV all the time.

1266
01:02:09,200 --> 01:02:11,360
Speaker 7: It's like you don't think that he's like being funny

1267
01:02:11,360 --> 01:02:12,919
Speaker 7: when he's like grown men.

1268
01:02:13,680 --> 01:02:16,360
Speaker 10: No, no, no, that's fine. I don't have a problem with that.

1269
01:02:16,520 --> 01:02:17,720
Speaker 10: I don't have a problem with that. I have a

1270
01:02:17,720 --> 01:02:21,200
Speaker 10: problem with him then going it. If it goes on

1271
01:02:21,240 --> 01:02:24,480
Speaker 10: the market, it'd be like twelve million dollars. Like that's

1272
01:02:24,560 --> 01:02:27,040
Speaker 10: I think that's where you draw the line. It's like

1273
01:02:27,240 --> 01:02:30,840
Speaker 10: people can have hobbies, people can people can love expensive cars.

1274
01:02:31,000 --> 01:02:32,440
Speaker 10: If you want to go out of your way to

1275
01:02:32,440 --> 01:02:35,560
Speaker 10: figure out how expensive a car is that somebody.

1276
01:02:35,240 --> 01:02:36,120
Speaker 9: Owns, who can?

1277
01:02:36,120 --> 01:02:42,280
Speaker 12: Then good conversation is about respect. It's how we create

1278
01:02:42,320 --> 01:02:44,480
Speaker 12: a space where people are able to share their ideas

1279
01:02:44,560 --> 01:02:45,080
Speaker 12: and be heard.

1280
01:02:45,600 --> 01:02:47,720
Speaker 7: Charlie knew that Turning Points still knows.

1281
01:02:47,560 --> 01:02:50,480
Speaker 12: That, and TikTok has always strived to build the kind

1282
01:02:50,480 --> 01:02:54,240
Speaker 12: of place that thrives on respectful connection, where curiosity fuels

1283
01:02:54,240 --> 01:02:56,280
Speaker 12: connection and we can share what's on our minds and

1284
01:02:56,360 --> 01:02:57,200
Speaker 12: learn from each other.

1285
01:02:57,600 --> 01:02:59,680
Speaker 3: When ideas meet respect, good things happen.

1286
01:03:00,000 --> 01:03:00,360
Speaker 5: TikTok.

1287
01:03:00,400 --> 01:03:03,080
Speaker 12: You can find a mechanic explaining the why behind a

1288
01:03:03,120 --> 01:03:04,960
Speaker 12: problem most of us wouldn't even know how to name,

1289
01:03:05,400 --> 01:03:08,400
Speaker 12: or a father sharing a lifetime of knowledge with his viewers.

1290
01:03:08,480 --> 01:03:11,880
Speaker 12: Viewers who listen discuss, and then they respond. TikTok turns

1291
01:03:11,880 --> 01:03:15,320
Speaker 12: connection into community through small acts of understanding. You can

1292
01:03:15,360 --> 01:03:17,320
Speaker 12: feel it in the comments and the thank you from

1293
01:03:17,360 --> 01:03:20,479
Speaker 12: a stranger halfway across the world. TikTok is a place

1294
01:03:20,480 --> 01:03:24,440
Speaker 12: where respect opens the door for discussion, and discussion helps

1295
01:03:24,520 --> 01:03:25,600
Speaker 12: us build something real.

1296
01:03:28,000 --> 01:03:30,200
Speaker 7: I don't even know the question she asked him, Do

1297
01:03:30,240 --> 01:03:33,440
Speaker 7: you know the question, Angela? But if she asked him

1298
01:03:33,480 --> 01:03:34,560
Speaker 7: what's the most expensive?

1299
01:03:34,920 --> 01:03:36,840
Speaker 4: Can I go back to what Sola was what Blake

1300
01:03:36,880 --> 01:03:38,240
Speaker 4: was saying about nobles oblige?

1301
01:03:38,440 --> 01:03:40,560
Speaker 2: Is that or is that?

1302
01:03:41,520 --> 01:03:44,560
Speaker 4: The idea was that you give back that if you

1303
01:03:44,720 --> 01:03:48,520
Speaker 4: have so much, that you could perhaps give back.

1304
01:03:48,360 --> 01:03:50,760
Speaker 2: To your country. And so totally agree.

1305
01:03:51,080 --> 01:03:54,440
Speaker 4: It's it's Donald Trump building the Walman Ice rank or

1306
01:03:54,440 --> 01:03:56,640
Speaker 4: fixing the Walman Ice rank in New York City, right,

1307
01:03:57,160 --> 01:03:59,320
Speaker 4: It's yeah, he's got a bunch of money, but you've got.

1308
01:03:59,200 --> 01:04:00,880
Speaker 2: To do something for the little guy too.

1309
01:04:01,440 --> 01:04:04,160
Speaker 4: And with Kevin O'Leary, you know, I don't I don't

1310
01:04:04,200 --> 01:04:06,440
Speaker 4: see anything like that. I don't see Kevin O'Leary turn

1311
01:04:06,520 --> 01:04:08,280
Speaker 4: around and like, hey, we're gonna fix up the zoo

1312
01:04:08,560 --> 01:04:12,000
Speaker 4: or we're gonna do something around to benefit regular people.

1313
01:04:12,080 --> 01:04:14,200
Speaker 4: I see him just saying, hey, how can I spend

1314
01:04:14,200 --> 01:04:16,720
Speaker 4: more money when I have an opportunity to spend more money?

1315
01:04:17,200 --> 01:04:21,160
Speaker 4: And you know, meanwhile, like everything's closing, everything's getting run down,

1316
01:04:22,280 --> 01:04:25,920
Speaker 4: certainly in New York, certainly in California, and you know,

1317
01:04:26,040 --> 01:04:31,120
Speaker 4: he's he's not doing anything to give back, and so

1318
01:04:31,240 --> 01:04:35,080
Speaker 4: that's that's a huge part of the problem. And yes,

1319
01:04:35,520 --> 01:04:39,080
Speaker 4: if you look at the history of socialistic communist revolutions,

1320
01:04:39,120 --> 01:04:42,120
Speaker 4: it is behavior like this by the elites during a

1321
01:04:42,200 --> 01:04:44,960
Speaker 4: time when you have we currently call it a kshacked economy.

1322
01:04:45,680 --> 01:04:47,880
Speaker 3: You know, Kevin does that?

1323
01:04:47,960 --> 01:04:48,200
Speaker 2: Actually?

1324
01:04:48,240 --> 01:04:50,080
Speaker 6: No, that actually, actually I want to respond to that

1325
01:04:50,320 --> 01:04:53,320
Speaker 6: specifically about that. One thing I think that the billionaires

1326
01:04:53,320 --> 01:04:57,200
Speaker 6: suffer from is that the norm is now like you

1327
01:04:57,240 --> 01:04:59,919
Speaker 6: want to give back, so you give to some charit

1328
01:05:00,920 --> 01:05:04,400
Speaker 6: like a charitable foundation that's like relatively less legible. Yes,

1329
01:05:05,280 --> 01:05:07,640
Speaker 6: we need to bring back billionaires who give back with

1330
01:05:07,880 --> 01:05:11,960
Speaker 6: o fish, big public things. Musk comes out and says like,

1331
01:05:12,000 --> 01:05:14,800
Speaker 6: I want to give back, So I'm just going to

1332
01:05:15,160 --> 01:05:18,640
Speaker 6: build the new stadium like for this like first City,

1333
01:05:18,640 --> 01:05:20,040
Speaker 6: and then it'll be owned by the city and I'm

1334
01:05:20,040 --> 01:05:21,439
Speaker 6: just gonna pay for it and it'll be nice and pretty.

1335
01:05:21,640 --> 01:05:23,600
Speaker 2: Wrigley Field was built by the Wrigley family.

1336
01:05:23,640 --> 01:05:24,920
Speaker 5: Exactly, Yeah, exactly.

1337
01:05:25,120 --> 01:05:28,680
Speaker 6: You build stadiums, you build monuments, you build like you

1338
01:05:28,680 --> 01:05:30,800
Speaker 6: you're saying, I'm going to build a new skyscraper for

1339
01:05:30,880 --> 01:05:34,280
Speaker 6: my company and it's going to be awesome. Art Deco

1340
01:05:34,400 --> 01:05:37,080
Speaker 6: looking with all the sculpture that we can't have anymore,

1341
01:05:37,160 --> 01:05:39,280
Speaker 6: and I'm gonna spend on that, and it's just gonna

1342
01:05:39,280 --> 01:05:41,080
Speaker 6: be a big part of the public, and we're gonna

1343
01:05:41,080 --> 01:05:42,320
Speaker 6: rent it out to the public and it's gonna be

1344
01:05:42,320 --> 01:05:44,960
Speaker 6: part of your skyline and it's gonna look awesome. We

1345
01:05:45,000 --> 01:05:47,280
Speaker 6: need our billionaires to be building awesome stuff that you

1346
01:05:47,320 --> 01:05:47,919
Speaker 6: can look at.

1347
01:05:48,240 --> 01:05:50,360
Speaker 7: Is Trump not doing that though, with like the ballroom

1348
01:05:51,840 --> 01:05:53,560
Speaker 7: and then like the Arc de Triumph.

1349
01:05:53,600 --> 01:05:55,960
Speaker 3: Yeah, he's like, so I actually like Trump's doing that,

1350
01:05:56,040 --> 01:05:56,880
Speaker 3: Like that is a great thing.

1351
01:05:57,000 --> 01:06:00,000
Speaker 9: So Zuzu Pedals has a great point. She's just donated.

1352
01:06:00,560 --> 01:06:03,920
Speaker 10: It's not it's not the watch, it's the obscene reaction

1353
01:06:04,080 --> 01:06:07,439
Speaker 10: to the watch. People will watch red carpets where people

1354
01:06:07,480 --> 01:06:11,200
Speaker 10: are covered in millions of dollars in jewels and contour.

1355
01:06:11,720 --> 01:06:15,760
Speaker 9: It's his reaction. I agree, Yeah, I do. Here's the thing,

1356
01:06:16,040 --> 01:06:18,840
Speaker 9: and that's where the first part that video of the.

1357
01:06:18,920 --> 01:06:22,080
Speaker 4: Red carpetices though are not A lot of those are

1358
01:06:22,200 --> 01:06:23,040
Speaker 4: are are not.

1359
01:06:23,240 --> 01:06:23,920
Speaker 9: They're rented.

1360
01:06:24,080 --> 01:06:27,560
Speaker 4: There a lot of it's either rented or like the designer,

1361
01:06:28,240 --> 01:06:31,000
Speaker 4: you know, sets it up as like advertiser for the designer.

1362
01:06:31,120 --> 01:06:32,520
Speaker 2: There's like all sorts of stuff like that.

1363
01:06:32,920 --> 01:06:35,880
Speaker 10: People can have hot for the record, people can have hobbies,

1364
01:06:35,920 --> 01:06:38,720
Speaker 10: people can have interests. I have no problem with Kevin

1365
01:06:38,720 --> 01:06:41,800
Speaker 10: O'Leary having interest in watches, but it's like I.

1366
01:06:41,800 --> 01:06:44,200
Speaker 2: Think it's cringe, so I think it's super coreat well.

1367
01:06:44,240 --> 01:06:46,720
Speaker 9: Okay, but but Jacks are like Jack, you.

1368
01:06:46,640 --> 01:06:50,480
Speaker 4: Don't watch Pokemon cards, watches or Pokemon cards for adults.

1369
01:06:51,240 --> 01:06:54,800
Speaker 5: Okay, somebody Jack, there's a fatal fly.

1370
01:06:55,600 --> 01:06:55,800
Speaker 2: Jack.

1371
01:06:55,840 --> 01:06:58,640
Speaker 6: The fatal fly with that is Pokemon cards, Pokemon cards

1372
01:06:58,680 --> 01:07:03,120
Speaker 6: for adults, saying year old millennials who are like looting

1373
01:07:03,120 --> 01:07:04,880
Speaker 6: their stores of the Pokemon card.

1374
01:07:04,960 --> 01:07:07,640
Speaker 3: I just remember, all right.

1375
01:07:07,680 --> 01:07:09,000
Speaker 5: Mikey story Mikey story.

1376
01:07:09,200 --> 01:07:14,120
Speaker 7: On Charlie's birthday a couple of years ago. Uh, we

1377
01:07:14,160 --> 01:07:17,400
Speaker 7: took to cook at a watch and he does not

1378
01:07:17,560 --> 01:07:18,040
Speaker 7: like watches.

1379
01:07:18,880 --> 01:07:22,000
Speaker 3: And the guy was like, amazing love Charlie, And I.

1380
01:07:22,000 --> 01:07:24,160
Speaker 7: Think you want to give Charlie like this amazing deal

1381
01:07:24,320 --> 01:07:27,160
Speaker 7: like almost like basically like free, like it was a deal,

1382
01:07:27,240 --> 01:07:29,439
Speaker 7: but he just didn't. And it was like a very

1383
01:07:29,560 --> 01:07:33,800
Speaker 7: nice protect Philip like very nice watch. And Charlie is

1384
01:07:33,920 --> 01:07:36,000
Speaker 7: like we sit down in the room and he like

1385
01:07:36,040 --> 01:07:38,440
Speaker 7: puts on this white glove. He like opens the box

1386
01:07:38,480 --> 01:07:40,520
Speaker 7: and he pulls out the watch and he's like here,

1387
01:07:40,800 --> 01:07:45,480
Speaker 7: Charliae grabs it with his greasy finger, and he's.

1388
01:07:45,320 --> 01:07:49,440
Speaker 3: Like, so what about this makes this expensive?

1389
01:07:49,880 --> 01:07:52,520
Speaker 7: Like I what? Why how much does this go for?

1390
01:07:52,880 --> 01:07:54,880
Speaker 7: Why does it go for that much? Why would I

1391
01:07:55,040 --> 01:07:57,840
Speaker 7: want this? Like this is such a small thing. And

1392
01:07:57,880 --> 01:08:00,640
Speaker 7: then the guy's like explaining how it's gone on value.

1393
01:08:00,680 --> 01:08:02,800
Speaker 7: It started at you know, it used to be this amount.

1394
01:08:02,920 --> 01:08:07,440
Speaker 7: Now it's you know, fifty x. And Charlie's like, because collectors,

1395
01:08:07,680 --> 01:08:11,400
Speaker 7: if I buy this, I will buy it and I

1396
01:08:11,400 --> 01:08:13,680
Speaker 7: will put it in my safe and I will never

1397
01:08:13,760 --> 01:08:16,240
Speaker 7: wear it and this will just be an investment.

1398
01:08:16,560 --> 01:08:18,840
Speaker 3: And the guy's like, no, it must be worn. And

1399
01:08:18,880 --> 01:08:21,280
Speaker 3: I was like, well, Charlie, like maybe you could wear

1400
01:08:21,320 --> 01:08:23,200
Speaker 3: this to like big events.

1401
01:08:23,320 --> 01:08:27,880
Speaker 7: He's like, nah, we walked out even a free watching

1402
01:08:27,920 --> 01:08:30,599
Speaker 7: didn't want so Jack, Charlie would mostly if he was here,

1403
01:08:30,640 --> 01:08:31,640
Speaker 7: you'd probably agree with you.

1404
01:08:32,080 --> 01:08:35,080
Speaker 4: Well, so the other thought I had, I've just never

1405
01:08:35,120 --> 01:08:37,639
Speaker 4: been a watch guy. The only watch I will tell

1406
01:08:37,640 --> 01:08:41,200
Speaker 4: you though, the and I don't wear anymore, but the

1407
01:08:41,240 --> 01:08:44,280
Speaker 4: only one see to watch. The only watch that I

1408
01:08:44,320 --> 01:08:49,000
Speaker 4: ever wore for a long time was my boot Camp watch.

1409
01:08:49,680 --> 01:08:53,599
Speaker 4: And that was a watch that I was I had

1410
01:08:53,600 --> 01:08:56,760
Speaker 4: this position in my boot camp unit where I was

1411
01:08:56,800 --> 01:08:59,120
Speaker 4: the only guy who got to wear a watch and

1412
01:09:00,120 --> 01:09:02,440
Speaker 4: among like other it was like one of the leadership

1413
01:09:02,560 --> 01:09:05,320
Speaker 4: member of the unit kind of things. And it just

1414
01:09:05,360 --> 01:09:07,280
Speaker 4: meant a lot to me that, you know, that with

1415
01:09:07,320 --> 01:09:08,920
Speaker 4: the watch that I went through boot camp with with

1416
01:09:08,960 --> 01:09:12,439
Speaker 4: like all my you know, boot camp buddies, and you know,

1417
01:09:12,439 --> 01:09:14,200
Speaker 4: I just wore that watch for a really long time

1418
01:09:14,439 --> 01:09:17,280
Speaker 4: and then my and then I kind of stopped wearing

1419
01:09:17,320 --> 01:09:19,760
Speaker 4: it because it's it's it was like really like rudimentary,

1420
01:09:19,800 --> 01:09:21,840
Speaker 4: and it didn't really look good with like suits and stuff.

1421
01:09:21,880 --> 01:09:22,840
Speaker 2: It just felt odd.

1422
01:09:23,360 --> 01:09:26,280
Speaker 4: And uh, you know, recently, my my son had been

1423
01:09:26,320 --> 01:09:29,200
Speaker 4: asking about wearing a watch, so I gave it to him.

1424
01:09:29,439 --> 01:09:29,919
Speaker 9: Nice.

1425
01:09:30,360 --> 01:09:32,280
Speaker 10: My fiance wants me to buy a watch because she's

1426
01:09:32,320 --> 01:09:33,559
Speaker 10: really tired of this garment.

1427
01:09:34,040 --> 01:09:36,320
Speaker 7: A final thought on this, we mentioned.

1428
01:09:36,280 --> 01:09:38,200
Speaker 9: Like you need to buy something better.

1429
01:09:39,320 --> 01:09:42,400
Speaker 6: We mentioned there's the case shaped economy diverging rich get

1430
01:09:42,479 --> 01:09:45,760
Speaker 6: richard poor get poor. Although what this actually stood out

1431
01:09:45,800 --> 01:09:48,320
Speaker 6: to me is the fact that Kevin O'Leary is so

1432
01:09:48,479 --> 01:09:50,840
Speaker 6: obsessed with the watches and this is a way to

1433
01:09:51,000 --> 01:09:54,040
Speaker 6: express his collecting impulse. It's something for him to blow

1434
01:09:54,080 --> 01:09:56,759
Speaker 6: money on. Frankly, is I think in a lot of ways,

1435
01:09:57,400 --> 01:10:01,320
Speaker 6: even if wealth amounts are diverging, I think lifestyles are

1436
01:10:01,360 --> 01:10:05,120
Speaker 6: converging a lot. And one thought I've had is it

1437
01:10:05,160 --> 01:10:07,760
Speaker 6: feels like this is a white pill to me. Is

1438
01:10:08,120 --> 01:10:10,559
Speaker 6: I've interacted with people who are far richer than I am,

1439
01:10:10,840 --> 01:10:13,160
Speaker 6: and as far as I can tell, their interests and

1440
01:10:13,200 --> 01:10:15,320
Speaker 6: how they prefer to spend most of their day when

1441
01:10:15,400 --> 01:10:15,800
Speaker 6: they're not.

1442
01:10:15,840 --> 01:10:19,080
Speaker 5: Working are pretty comparable to mine.

1443
01:10:19,200 --> 01:10:22,920
Speaker 6: Or it's even stuff I could be doing and choose

1444
01:10:22,960 --> 01:10:25,200
Speaker 6: not to because I don't like it, Like as an example,

1445
01:10:25,520 --> 01:10:28,719
Speaker 6: I've been stunned by the number of very wealthy people

1446
01:10:28,760 --> 01:10:31,559
Speaker 6: I know who watch a lot of television and like

1447
01:10:31,840 --> 01:10:35,280
Speaker 6: bad television in some cases, or just whatever's trendy. And

1448
01:10:35,280 --> 01:10:38,599
Speaker 6: then the amount who do Oh, they sit and they

1449
01:10:38,600 --> 01:10:40,160
Speaker 6: sit in group chats on their phone, and they like

1450
01:10:40,160 --> 01:10:42,559
Speaker 6: talk to other people they know and like, okay, you

1451
01:10:42,600 --> 01:10:44,719
Speaker 6: can also be in a group chat with your friends.

1452
01:10:45,240 --> 01:10:46,800
Speaker 2: And do you guys watch TV?

1453
01:10:47,960 --> 01:10:48,200
Speaker 3: Yes?

1454
01:10:48,320 --> 01:10:49,439
Speaker 5: I watch very little TV.

1455
01:10:49,720 --> 01:10:50,120
Speaker 3: Yeah, I do.

1456
01:10:50,240 --> 01:10:51,439
Speaker 5: You guys are all TV nuts?

1457
01:10:51,520 --> 01:10:56,200
Speaker 4: None of you, I'm not all of your sinners. I'll

1458
01:10:56,280 --> 01:10:59,400
Speaker 4: watch like Tanya, and I will sometimes like sit down

1459
01:10:59,439 --> 01:11:01,840
Speaker 4: and watch a sea and it will be like maybe

1460
01:11:01,840 --> 01:11:04,240
Speaker 4: like we watched one episode a night before bed or something,

1461
01:11:04,400 --> 01:11:08,160
Speaker 4: but like that would that that will genuinely, generally, other

1462
01:11:08,200 --> 01:11:10,840
Speaker 4: than like work, that will generally be the only time

1463
01:11:10,840 --> 01:11:12,080
Speaker 4: I ever sit down and like watch.

1464
01:11:12,680 --> 01:11:16,679
Speaker 7: But also I do watch TV and I do the same.

1465
01:11:16,760 --> 01:11:19,479
Speaker 7: But I think that's might change when the baby comes.

1466
01:11:19,520 --> 01:11:22,639
Speaker 7: I don't think you might watch more. My my brother

1467
01:11:22,680 --> 01:11:23,200
Speaker 7: in law, I.

1468
01:11:23,160 --> 01:11:25,800
Speaker 4: Watch more, you know, with babies, because you're gonna be

1469
01:11:25,840 --> 01:11:26,400
Speaker 4: up late at night.

1470
01:11:26,400 --> 01:11:29,360
Speaker 2: And yeah, you're gonna my brother in law than.

1471
01:11:31,439 --> 01:11:32,880
Speaker 3: Anybody in the comments.

1472
01:11:34,040 --> 01:11:36,120
Speaker 6: The dragon I have, I have not I have. My

1473
01:11:36,680 --> 01:11:40,200
Speaker 6: My brother in law watched every single EPISO watched. There

1474
01:11:40,200 --> 01:11:42,000
Speaker 6: are a thousand episodes.

1475
01:11:41,520 --> 01:11:42,120
Speaker 5: Of One Piece.

1476
01:11:42,720 --> 01:11:45,760
Speaker 6: I don't even know one pie, anime that has been

1477
01:11:45,840 --> 01:11:48,040
Speaker 6: running for about ten thousand years.

1478
01:11:48,080 --> 01:11:49,720
Speaker 3: I think Gallibeth Stucky is right.

1479
01:11:49,840 --> 01:11:55,080
Speaker 7: The anime causes like weird brain stuff, no science claim.

1480
01:11:55,840 --> 01:11:57,400
Speaker 2: I don't have a problem. I thought that was Matt

1481
01:11:57,400 --> 01:11:59,960
Speaker 2: Walsh said that maybe maybe I don't have a problem

1482
01:12:00,080 --> 01:12:03,240
Speaker 2: them with with anime in general. But the reason that

1483
01:12:03,240 --> 01:12:03,719
Speaker 2: I don't.

1484
01:12:03,520 --> 01:12:05,599
Speaker 4: Really watch it is just because of that, Like how

1485
01:12:05,640 --> 01:12:08,400
Speaker 4: do you start? There's like a million episodes of every

1486
01:12:08,400 --> 01:12:11,840
Speaker 4: season or every show rather, and and you're like and

1487
01:12:11,880 --> 01:12:14,559
Speaker 4: I'm like, oh, yeah, well this is like episode five thousand,

1488
01:12:14,720 --> 01:12:17,320
Speaker 4: and he's referring to something that happened in episode.

1489
01:12:16,960 --> 01:12:21,519
Speaker 3: Two attack of Titan. Everybody always tells me.

1490
01:12:21,600 --> 01:12:24,519
Speaker 6: I'm like, it's actually it isn't the opposite, Jack. Actually,

1491
01:12:24,680 --> 01:12:26,880
Speaker 6: most the thing is is not most animals are not

1492
01:12:26,920 --> 01:12:29,760
Speaker 6: that many episodes compared to US shows, where like we

1493
01:12:29,840 --> 01:12:31,720
Speaker 6: love to have twenty eight episode seasons and they run

1494
01:12:31,760 --> 01:12:33,960
Speaker 6: for a decade. The biggest thing is just a million

1495
01:12:34,040 --> 01:12:36,960
Speaker 6: of them ton and so like, oh have you seen

1496
01:12:37,760 --> 01:12:40,559
Speaker 6: have you seen Pizza Dynasty And it'll be this twenty

1497
01:12:40,600 --> 01:12:44,040
Speaker 6: eight episode anime about like a family trying to run

1498
01:12:44,040 --> 01:12:45,799
Speaker 6: a pizzeria in Tokyo.

1499
01:12:46,400 --> 01:12:48,320
Speaker 5: And then they're like, oh no, you need to.

1500
01:12:48,320 --> 01:12:53,519
Speaker 6: Go see Rice's Adventure and it's something it's a slice

1501
01:12:53,560 --> 01:12:57,479
Speaker 6: of lice, slice of life show that's about these girls.

1502
01:12:57,680 --> 01:13:00,200
Speaker 6: And actually, wait no, there actually is a real anime

1503
01:13:00,240 --> 01:13:04,120
Speaker 6: that's girls and boarding that's supposed to be like, there's

1504
01:13:04,120 --> 01:13:06,040
Speaker 6: a real anime that's about girls in boarding school where

1505
01:13:06,040 --> 01:13:08,439
Speaker 6: they're learning how to drive World War two tanks. And

1506
01:13:08,479 --> 01:13:11,519
Speaker 6: you're not considered an eligible bride unless you're a good

1507
01:13:11,560 --> 01:13:15,840
Speaker 6: tank commander. It's called Girls Owned Panzer, which is just

1508
01:13:15,920 --> 01:13:19,280
Speaker 6: girls in tank. Anyway, I'm sure. I'm sure Dylan in

1509
01:13:19,320 --> 01:13:22,360
Speaker 6: the chat is losing his mind over this, all right.

1510
01:13:22,479 --> 01:13:24,719
Speaker 4: I thought no, I thought, oh, yeah, Dylan is always

1511
01:13:24,720 --> 01:13:26,000
Speaker 4: trying to get Yeah is he in the chat?

1512
01:13:26,160 --> 01:13:27,720
Speaker 2: I wasn't looking. He's always trying to get me to

1513
01:13:27,760 --> 01:13:28,320
Speaker 2: watch stuff.

1514
01:13:29,120 --> 01:13:33,320
Speaker 6: Yeah, he's saying watch anime, mikey, Okay, Dylan. He says

1515
01:13:33,400 --> 01:13:36,120
Speaker 6: there are so many epic they have so many.

1516
01:13:37,280 --> 01:13:39,679
Speaker 2: I watched Death Note. I thought Death Note was great.

1517
01:13:39,920 --> 01:13:41,640
Speaker 6: I have seen Death Note. I watched Death Note that

1518
01:13:41,760 --> 01:13:44,080
Speaker 6: was in high school. It was okay, okay, I stand

1519
01:13:44,120 --> 01:13:47,400
Speaker 6: corrected by Dylan as well. It was, in fact Matt Walsh, that's.

1520
01:13:47,240 --> 01:13:51,800
Speaker 4: It, alrighty yeah, okay, No, I I thought Death notees.

1521
01:13:51,920 --> 01:13:54,360
Speaker 4: I mean, I think it's just a version of like

1522
01:13:55,400 --> 01:13:58,880
Speaker 4: animation style. Like I've seen some anime movies that I

1523
01:13:59,360 --> 01:14:02,320
Speaker 4: like a lot, and I think that's that's enough for me.

1524
01:14:02,400 --> 01:14:07,520
Speaker 2: What was the one Your name was pretty good? Uh?

1525
01:14:07,560 --> 01:14:09,080
Speaker 2: Who is the guy who made that? And he made

1526
01:14:09,080 --> 01:14:12,240
Speaker 2: a bunch of movies recently that I thought were pretty good. Yeah,

1527
01:14:12,479 --> 01:14:13,240
Speaker 2: it's just a style.

1528
01:14:13,320 --> 01:14:15,479
Speaker 6: I think the real thing is it is a thing

1529
01:14:15,479 --> 01:14:19,840
Speaker 6: that people will make their entire lifestyle is being and

1530
01:14:20,320 --> 01:14:23,920
Speaker 6: like with anything, I think that can wreck your personality

1531
01:14:24,000 --> 01:14:25,960
Speaker 6: to have it be consumed by one thing. And there's

1532
01:14:26,000 --> 01:14:30,400
Speaker 6: just a lot of them. That's pedals. O MG, you

1533
01:14:30,439 --> 01:14:32,400
Speaker 6: are having a baby. That is of course to Mikey,

1534
01:14:32,479 --> 01:14:35,400
Speaker 6: it is not to me. That is so exciting. Congratulations,

1535
01:14:35,400 --> 01:14:38,840
Speaker 6: prayers for healthy delivery. Thank you, Zuzu. I want to

1536
01:14:38,840 --> 01:14:40,439
Speaker 6: get our one last topic because I do think it

1537
01:14:40,479 --> 01:14:40,960
Speaker 6: is very fun.

1538
01:14:41,439 --> 01:14:44,600
Speaker 2: Related to other comment that just came in on on X.

1539
01:14:45,479 --> 01:14:49,639
Speaker 4: This is from the Wuhan clan and he wrote, he wrote,

1540
01:14:49,680 --> 01:14:53,080
Speaker 4: I'm only pro flock to the extent that the soul customer.

1541
01:14:52,680 --> 01:14:55,040
Speaker 2: Is ice using it to get illegals the flock out

1542
01:14:55,040 --> 01:14:55,320
Speaker 2: of here.

1543
01:14:56,439 --> 01:14:59,400
Speaker 6: I agreed, agreed, But you want to hit this because

1544
01:14:59,400 --> 01:15:02,479
Speaker 6: it does relate to whether others, specifically me, will have

1545
01:15:02,520 --> 01:15:03,439
Speaker 6: any babies, which is.

1546
01:15:03,439 --> 01:15:06,760
Speaker 7: The car test. All right, have you guys heard about this?

1547
01:15:07,840 --> 01:15:10,599
Speaker 6: Alright, we're gonna have to summarize this, so let's throw

1548
01:15:10,800 --> 01:15:14,080
Speaker 6: up number fourteen and let me bring it up here

1549
01:15:14,120 --> 01:15:15,800
Speaker 6: so that I can read it.

1550
01:15:17,479 --> 01:15:18,400
Speaker 5: One second.

1551
01:15:19,479 --> 01:15:23,519
Speaker 6: So this is a tweet someone made and it is

1552
01:15:23,840 --> 01:15:28,439
Speaker 6: this woman Blaine Anderson has an account dating by Blaine,

1553
01:15:28,479 --> 01:15:32,240
Speaker 6: and she posts an exchange between a woman and a

1554
01:15:32,280 --> 01:15:34,160
Speaker 6: guy she was potentially going to go on a debate

1555
01:15:34,200 --> 01:15:36,960
Speaker 6: on and I'm gonna read the exchange first date on

1556
01:15:37,800 --> 01:15:39,040
Speaker 6: or a date she was gonna go on a date

1557
01:15:39,040 --> 01:15:41,400
Speaker 6: with this guy and it says good morning, what time?

1558
01:15:41,439 --> 01:15:43,400
Speaker 6: Where is dinner tomorrow? And he goes, have you been

1559
01:15:43,439 --> 01:15:47,200
Speaker 6: to le mer? And she goes, I have none? It

1560
01:15:47,200 --> 01:15:50,800
Speaker 6: looks gorgeous, And then she says could you send me

1561
01:15:50,840 --> 01:15:55,760
Speaker 6: an uber for dinner tomorrow? And the guy responds, no,

1562
01:15:56,160 --> 01:15:59,439
Speaker 6: I won't on the way home, though, happy to pick

1563
01:15:59,479 --> 01:16:02,160
Speaker 6: a restaurant next to you, That's what he says. This

1564
01:16:02,240 --> 01:16:04,640
Speaker 6: exchange was then sent to this plain woman and she

1565
01:16:04,760 --> 01:16:07,960
Speaker 6: says single girlfriend in New York City had this text

1566
01:16:08,040 --> 01:16:11,719
Speaker 6: exchange with a hinge match. She is upset. In my opinion,

1567
01:16:12,160 --> 01:16:15,479
Speaker 6: she's entitled to whatever expectations of men she wants, but

1568
01:16:15,680 --> 01:16:18,759
Speaker 6: asking a stranger from the internet to send a car

1569
01:16:19,400 --> 01:16:22,800
Speaker 6: is cringey and she has no business being upset. If

1570
01:16:22,800 --> 01:16:29,799
Speaker 6: you won't, the guy's response is simultaneously fair, abrasive, and weird.

1571
01:16:30,400 --> 01:16:33,080
Speaker 6: Just say, how about I come to you if you'd

1572
01:16:33,120 --> 01:16:35,679
Speaker 6: still want the date or if you don't just say

1573
01:16:35,720 --> 01:16:38,120
Speaker 6: I don't think this is a fit. Hard not to

1574
01:16:38,120 --> 01:16:41,599
Speaker 6: stay stuck single if you interact like this and then

1575
01:16:41,640 --> 01:16:44,080
Speaker 6: as a follow up someone who may be joking or

1576
01:16:44,120 --> 01:16:47,719
Speaker 6: maybe not, I couldn't really tell. Mad's Campbell tweeted, every

1577
01:16:47,760 --> 01:16:49,960
Speaker 6: good man I've ever been on a date with has

1578
01:16:50,040 --> 01:16:54,360
Speaker 6: sent a car, usually black car. It's very weird to

1579
01:16:54,520 --> 01:16:57,960
Speaker 6: not send a car. And when you're dating, you should

1580
01:16:57,960 --> 01:17:00,360
Speaker 6: be on your boyfriend or husband's Uber account if you

1581
01:17:00,400 --> 01:17:03,080
Speaker 6: still use ubers. I don't see why this is controversial.

1582
01:17:03,280 --> 01:17:07,479
Speaker 9: I just love Mikey's size. This is but this is cringey,

1583
01:17:07,680 --> 01:17:08,519
Speaker 9: and this is dumb.

1584
01:17:09,120 --> 01:17:10,160
Speaker 3: It's also like they.

1585
01:17:10,000 --> 01:17:13,280
Speaker 7: Get upset if for dinner, you know, because it's like

1586
01:17:13,320 --> 01:17:16,200
Speaker 7: a feminist thing to get obsessed. So then these women

1587
01:17:16,200 --> 01:17:17,320
Speaker 7: I think, these women, I don't think.

1588
01:17:17,680 --> 01:17:18,640
Speaker 2: But it's a feminist thing.

1589
01:17:18,840 --> 01:17:20,920
Speaker 4: It's a feminist thing if you pay for dinner. But

1590
01:17:20,960 --> 01:17:23,439
Speaker 4: it's also a feminist thing if you don't pay for.

1591
01:17:23,400 --> 01:17:25,200
Speaker 2: The uber does that merch?

1592
01:17:25,720 --> 01:17:27,599
Speaker 5: Yeah, in fact, it's intriguing.

1593
01:17:27,600 --> 01:17:29,640
Speaker 6: I'm kind of wondering how Charlie reacts, because Charlie was

1594
01:17:29,760 --> 01:17:32,880
Speaker 6: very much man pays for the dinner, even on the

1595
01:17:32,880 --> 01:17:34,320
Speaker 6: first day he would probably.

1596
01:17:34,640 --> 01:17:37,519
Speaker 7: I mean, I don't put words, but I mean I

1597
01:17:37,520 --> 01:17:40,920
Speaker 7: guess like you pick him up, like pick him up.

1598
01:17:41,320 --> 01:17:44,120
Speaker 6: Okay, but we're in New York here, where we're imagining

1599
01:17:44,200 --> 01:17:46,400
Speaker 6: you don't have it's very likely neither of you have

1600
01:17:46,439 --> 01:17:46,680
Speaker 6: a car.

1601
01:17:46,720 --> 01:17:48,040
Speaker 5: Even if you're well off, you don't have a car.

1602
01:17:48,760 --> 01:17:52,640
Speaker 7: Meet him and walk up New York State cannot be

1603
01:17:52,680 --> 01:17:53,839
Speaker 7: safe for a woman alone.

1604
01:17:53,920 --> 01:17:56,559
Speaker 4: I think we should we should clarify so that this

1605
01:17:56,680 --> 01:17:59,840
Speaker 4: is New York City, right, right, So in New York

1606
01:18:01,160 --> 01:18:04,880
Speaker 4: that then chances are if she's saying like blah blah blah, uber,

1607
01:18:05,160 --> 01:18:07,719
Speaker 4: then chances are she probably doesn't have her own car.

1608
01:18:08,200 --> 01:18:08,400
Speaker 2: Right.

1609
01:18:08,800 --> 01:18:12,639
Speaker 4: So the geography I think changes the dynamics a little

1610
01:18:12,640 --> 01:18:16,560
Speaker 4: bit here as well, where you know, you know, I

1611
01:18:16,560 --> 01:18:20,080
Speaker 4: wouldn't want a girl, you know, taking the taking the

1612
01:18:20,120 --> 01:18:23,040
Speaker 4: subway in any city in the United States or or

1613
01:18:23,040 --> 01:18:23,559
Speaker 4: even London.

1614
01:18:24,040 --> 01:18:26,479
Speaker 2: I rode the tube a couple of times. It was awful.

1615
01:18:26,760 --> 01:18:28,599
Speaker 2: It was other than the speed, which.

1616
01:18:28,400 --> 01:18:32,080
Speaker 4: Was good, the actual experience of being on there was horrible,

1617
01:18:32,560 --> 01:18:35,800
Speaker 4: and I did not want my children to be there,

1618
01:18:35,840 --> 01:18:39,000
Speaker 4: on there for any second longer than we had to.

1619
01:18:39,400 --> 01:18:42,040
Speaker 4: But that being said, and the traffic was just worse

1620
01:18:42,040 --> 01:18:43,880
Speaker 4: so we would have taken us like way much longer

1621
01:18:43,920 --> 01:18:45,840
Speaker 4: to get to getywhere we actually ended up taking some

1622
01:18:45,960 --> 01:18:50,679
Speaker 4: river taxis, which which worked out pretty well. And so

1623
01:18:50,680 --> 01:18:53,320
Speaker 4: so if you're in New York City, I feel like,

1624
01:18:53,439 --> 01:18:54,280
Speaker 4: I feel like it's not.

1625
01:18:54,400 --> 01:18:57,080
Speaker 2: Unreasonable for her to ask for an uber. I really don't.

1626
01:18:57,880 --> 01:19:00,880
Speaker 6: I really like Angela who grew up in New York

1627
01:19:00,920 --> 01:19:03,800
Speaker 6: area and he said, uh, in the nineties, I paid

1628
01:19:03,800 --> 01:19:07,760
Speaker 6: for the cabs both ways because of safety. Otherwise it's like,

1629
01:19:07,920 --> 01:19:11,320
Speaker 6: what take the train, Yeah, that'll get the bird interested.

1630
01:19:12,360 --> 01:19:14,040
Speaker 2: No, but the.

1631
01:19:14,000 --> 01:19:16,439
Speaker 4: Taxi, Like, if she gets in the taxi and then

1632
01:19:16,479 --> 01:19:18,639
Speaker 4: gets out, you're paying for it when she gets there.

1633
01:19:20,439 --> 01:19:21,639
Speaker 3: Yeah, I think that's fair.

1634
01:19:21,920 --> 01:19:22,320
Speaker 2: I think.

1635
01:19:25,439 --> 01:19:27,280
Speaker 3: Jackie make about like New York.

1636
01:19:27,439 --> 01:19:30,919
Speaker 10: Here's the only thing is being here in Arizona. Obviously

1637
01:19:31,200 --> 01:19:34,680
Speaker 10: it's very different than New York, but I did. I

1638
01:19:34,720 --> 01:19:39,240
Speaker 10: would run into weird things where I was always the

1639
01:19:39,280 --> 01:19:42,760
Speaker 10: person that like would offer, hey, I could pick you

1640
01:19:42,840 --> 01:19:47,960
Speaker 10: up right. But I also understood again having.

1641
01:19:47,720 --> 01:19:51,200
Speaker 2: You know, to get him in the car hold on.

1642
01:19:51,160 --> 01:19:53,280
Speaker 9: But having little, very little interactions.

1643
01:19:53,360 --> 01:19:57,120
Speaker 10: Obviously it could like they could be like, ah, not

1644
01:19:57,240 --> 01:19:59,679
Speaker 10: really a fan. But at the same time I would

1645
01:19:59,680 --> 01:20:02,000
Speaker 10: always offer, like that was always a thing, like you

1646
01:20:02,040 --> 01:20:02,639
Speaker 10: always offer.

1647
01:20:03,040 --> 01:20:04,360
Speaker 2: I didn't want you to pick them up.

1648
01:20:05,520 --> 01:20:08,439
Speaker 10: Yeah, I mean, especially if you're dating on the internet.

1649
01:20:08,640 --> 01:20:10,840
Speaker 9: Like I get it, like I understand it, but you

1650
01:20:10,880 --> 01:20:11,519
Speaker 9: have to offer.

1651
01:20:11,880 --> 01:20:14,920
Speaker 3: I hated that. She was like she wants a black

1652
01:20:14,960 --> 01:20:15,639
Speaker 3: car that one.

1653
01:20:16,000 --> 01:20:18,800
Speaker 7: Yeah, I just thought that, Zuzu said, I spent my

1654
01:20:18,840 --> 01:20:21,040
Speaker 7: twenties dating in New York and the gentleman did pay

1655
01:20:21,040 --> 01:20:23,559
Speaker 7: for your cab home after ten pm. But a black

1656
01:20:23,560 --> 01:20:25,120
Speaker 7: car service is ridiculous.

1657
01:20:25,120 --> 01:20:28,280
Speaker 3: Okay, okay, you guys, you've changed my mind.

1658
01:20:28,360 --> 01:20:29,360
Speaker 9: That's that's it.

1659
01:20:29,600 --> 01:20:30,720
Speaker 3: Only in New York here.

1660
01:20:30,800 --> 01:20:31,040
Speaker 8: Yeah.

1661
01:20:31,080 --> 01:20:34,280
Speaker 4: Oh wait, wait wait wait, actually, Mikey, I'll meet jab Way.

1662
01:20:34,439 --> 01:20:37,559
Speaker 2: I'll I'll meet Jabway on that.

1663
01:20:38,400 --> 01:20:41,080
Speaker 4: Because when I saw this on the topic list, this

1664
01:20:41,200 --> 01:20:45,120
Speaker 4: wasn't my my first thought. My first thought was it

1665
01:20:45,200 --> 01:20:49,040
Speaker 4: depends on girl. Are you worth black car service?

1666
01:20:50,680 --> 01:20:52,960
Speaker 2: Is this? Or is this just like it's true?

1667
01:20:53,280 --> 01:20:56,400
Speaker 4: Oh my god, some random like we're passing the time

1668
01:20:56,479 --> 01:20:59,559
Speaker 4: kind of date. So some girls, yeah, of course would

1669
01:20:59,560 --> 01:21:00,920
Speaker 4: be worth car service and some.

1670
01:21:01,800 --> 01:21:02,479
Speaker 2: Not so much.

1671
01:21:02,840 --> 01:21:04,479
Speaker 4: So I haven't looked. Do we do we have an

1672
01:21:04,479 --> 01:21:06,960
Speaker 4: image of the girl in question here? Do we have

1673
01:21:06,960 --> 01:21:09,599
Speaker 4: any of that information? Is if we're talking like if

1674
01:21:09,600 --> 01:21:12,000
Speaker 4: you're like, I'm sorry, but if you're like a six

1675
01:21:12,080 --> 01:21:14,559
Speaker 4: or below, like I'm not paying for a black car. Nope,

1676
01:21:15,160 --> 01:21:17,599
Speaker 4: no way, I'm not. I'm not paying for black car

1677
01:21:17,640 --> 01:21:20,160
Speaker 4: for that. Like that's like I'm like, but if you're

1678
01:21:20,200 --> 01:21:22,720
Speaker 4: a dime like Tanya Tay, then yeah, of course, like

1679
01:21:22,800 --> 01:21:25,000
Speaker 4: black car all day long. But she had her Now

1680
01:21:25,120 --> 01:21:27,160
Speaker 4: that being said, when Tanya and I started dating, she

1681
01:21:27,200 --> 01:21:29,360
Speaker 4: had her own car, and so like we just would

1682
01:21:29,400 --> 01:21:30,240
Speaker 4: just drive to meet up.

1683
01:21:30,280 --> 01:21:35,479
Speaker 6: Usually either part of the culture, part of what goes

1684
01:21:35,479 --> 01:21:37,599
Speaker 6: into this, but we also weren't in New York City,

1685
01:21:37,720 --> 01:21:40,559
Speaker 6: so it's it's it's part of part of what is

1686
01:21:40,640 --> 01:21:42,720
Speaker 6: going into this, frankly, is I think there's a lot

1687
01:21:42,760 --> 01:21:47,679
Speaker 6: of people burned because it is, frankly a known practice

1688
01:21:47,720 --> 01:21:49,280
Speaker 6: now that a lot of women will.

1689
01:21:49,120 --> 01:21:51,200
Speaker 7: Just go on dates to get like a free meal.

1690
01:21:53,479 --> 01:21:56,679
Speaker 4: Actually, and and by the way, if you're on hinge, right,

1691
01:21:56,720 --> 01:21:59,400
Speaker 4: so she's never met the guy before, he doesn't even

1692
01:21:59,479 --> 01:22:03,240
Speaker 4: know if she looks like what her pictures look like.

1693
01:22:03,600 --> 01:22:06,120
Speaker 4: So if this is the very first time they've ever met,

1694
01:22:06,240 --> 01:22:09,880
Speaker 4: he could be getting catfished, right. And if he's getting catfished,

1695
01:22:10,080 --> 01:22:12,439
Speaker 4: then why would you send an uber black, so so

1696
01:22:12,560 --> 01:22:15,599
Speaker 4: Mikey again, like this is where I meet you halfway

1697
01:22:15,760 --> 01:22:20,000
Speaker 4: where I'm saying, like, it actually depends because if you've

1698
01:22:20,200 --> 01:22:22,360
Speaker 4: you're maybe second date, maybe third day, but you've never

1699
01:22:22,439 --> 01:22:24,560
Speaker 4: met before or have you even have they done a

1700
01:22:24,560 --> 01:22:26,519
Speaker 4: face time? See that's by the way, guys, for guys

1701
01:22:26,520 --> 01:22:29,760
Speaker 4: out there, if you're on a dating app that you

1702
01:22:29,800 --> 01:22:32,479
Speaker 4: want to get around the catfish by facetiming, right, So

1703
01:22:32,520 --> 01:22:34,320
Speaker 4: you got to give him the FaceTime test before you

1704
01:22:34,360 --> 01:22:36,280
Speaker 4: meet up, because then you can say.

1705
01:22:36,040 --> 01:22:37,799
Speaker 2: Oh, well, let's let's let me get your digits.

1706
01:22:37,960 --> 01:22:40,120
Speaker 4: Get the digits and you say, okay, let's FaceTime and

1707
01:22:40,280 --> 01:22:42,000
Speaker 4: she says, no blocker.

1708
01:22:41,800 --> 01:22:44,400
Speaker 3: Just this is actually the best thing.

1709
01:22:45,280 --> 01:22:46,240
Speaker 9: This is the best thing.

1710
01:22:46,280 --> 01:22:47,599
Speaker 2: Digits, Instagram, whatever.

1711
01:22:47,800 --> 01:22:49,120
Speaker 3: We got to bring digits back.

1712
01:22:50,720 --> 01:22:52,240
Speaker 9: Amanda and I met on hinge.

1713
01:22:52,439 --> 01:22:53,240
Speaker 3: But it was so funny.

1714
01:22:53,360 --> 01:22:54,880
Speaker 9: Yes, but it was so funny because you send her

1715
01:22:55,320 --> 01:22:55,920
Speaker 9: but did you use it?

1716
01:22:56,080 --> 01:22:56,200
Speaker 13: No?

1717
01:22:56,200 --> 01:22:59,120
Speaker 3: No, no, no, So I was at did you know?

1718
01:22:59,200 --> 01:23:02,280
Speaker 3: I didn't? So literally no, So we.

1719
01:23:02,360 --> 01:23:05,120
Speaker 10: Matched and I was already at like one of the

1720
01:23:05,360 --> 01:23:09,280
Speaker 10: one of the country bars, and her location showed she

1721
01:23:09,360 --> 01:23:11,880
Speaker 10: was in Mesas, So she was like within like a

1722
01:23:11,960 --> 01:23:15,360
Speaker 10: fifteen minute like radius from where I was, and I

1723
01:23:15,400 --> 01:23:18,120
Speaker 10: literally said, hey, you should pull up, and she was like,

1724
01:23:18,200 --> 01:23:19,639
Speaker 10: all right, sounds good.

1725
01:23:20,040 --> 01:23:21,960
Speaker 9: And that's when we met nice.

1726
01:23:22,200 --> 01:23:24,720
Speaker 2: So I I she drove to wait wait, wait, wait, Russ,

1727
01:23:24,720 --> 01:23:25,040
Speaker 2: hold on.

1728
01:23:25,160 --> 01:23:28,120
Speaker 10: She drove to you, yes, but I had already drove

1729
01:23:28,360 --> 01:23:31,200
Speaker 10: to her side of town because I was in the

1730
01:23:31,280 --> 01:23:32,559
Speaker 10: area at the bar.

1731
01:23:32,680 --> 01:23:34,840
Speaker 2: No. No, but you're saying no, hold on, but.

1732
01:23:34,840 --> 01:23:35,800
Speaker 9: Yeah, she drove to me.

1733
01:23:35,880 --> 01:23:41,439
Speaker 4: You you were already there, correct before you match correct correct,

1734
01:23:41,760 --> 01:23:42,720
Speaker 4: and then she drove to you.

1735
01:23:42,880 --> 01:23:45,559
Speaker 2: Yep, and that's that's a green light, man, that's.

1736
01:23:45,400 --> 01:23:46,080
Speaker 5: A green Oh it was.

1737
01:23:46,280 --> 01:23:47,320
Speaker 9: It was a huge green light.

1738
01:23:48,200 --> 01:23:49,920
Speaker 4: That's a big that's a big old green light. Yeah,

1739
01:23:50,000 --> 01:23:52,600
Speaker 4: it was just not a red flag. But I know,

1740
01:23:52,760 --> 01:23:56,400
Speaker 4: so I would, actually I would. Actually I'm gonna side

1741
01:23:56,400 --> 01:23:58,400
Speaker 4: with the guy here. I'm actually gonna side with the

1742
01:23:58,400 --> 01:24:02,600
Speaker 4: guy here. And so saying no in in that situation,

1743
01:24:03,120 --> 01:24:05,479
Speaker 4: if they have not done the FaceTime test, if they

1744
01:24:05,479 --> 01:24:07,760
Speaker 4: have not had a date before, they've never met, they

1745
01:24:07,760 --> 01:24:10,320
Speaker 4: haven't even done the FaceTime test, then no, you do

1746
01:24:10,880 --> 01:24:12,160
Speaker 4: not get to demand any.

1747
01:24:12,280 --> 01:24:13,920
Speaker 2: Black Nope, that's true. You don't.

1748
01:24:14,320 --> 01:24:18,680
Speaker 9: I agree. I think the I get the idea with

1749
01:24:18,760 --> 01:24:19,919
Speaker 9: it being in New York.

1750
01:24:19,720 --> 01:24:19,880
Speaker 11: But.

1751
01:24:22,560 --> 01:24:23,160
Speaker 3: Hi, folks.

1752
01:24:23,400 --> 01:24:25,800
Speaker 12: Andrew Colvett here, I'd like to tell you about my

1753
01:24:25,920 --> 01:24:28,559
Speaker 12: friends over at why Refi. You've probably been hearing me

1754
01:24:28,640 --> 01:24:31,360
Speaker 12: talk about why Refi for some time. Now. We are

1755
01:24:31,600 --> 01:24:34,559
Speaker 12: all in with these guys. If you or someone you

1756
01:24:34,600 --> 01:24:37,320
Speaker 12: know is struggling with private student loan debt, take my

1757
01:24:37,360 --> 01:24:40,200
Speaker 12: advice and give them a call. Maybe you're behind on

1758
01:24:40,240 --> 01:24:44,000
Speaker 12: your payments, maybe you're even in default. You don't have

1759
01:24:44,080 --> 01:24:46,960
Speaker 12: to live in this nightmare anymore. Why Refi will provide

1760
01:24:46,960 --> 01:24:49,760
Speaker 12: you a custom payment based on your ability to pay.

1761
01:24:50,040 --> 01:24:54,080
Speaker 12: They tailor each loan individually. They can save you thousands

1762
01:24:54,120 --> 01:24:56,920
Speaker 12: of dollars and you can get your life back. We

1763
01:24:56,960 --> 01:24:59,479
Speaker 12: go to campuses all over America and we see student

1764
01:24:59,520 --> 01:25:02,439
Speaker 12: after student dent who's drowning in private student loan debt.

1765
01:25:02,680 --> 01:25:04,680
Speaker 12: Many of them don't even know how much they owe.

1766
01:25:05,080 --> 01:25:07,559
Speaker 12: Why ref I can help. Just go to y refi

1767
01:25:07,800 --> 01:25:12,000
Speaker 12: dot com. That's the letter why then refi dot com.

1768
01:25:12,040 --> 01:25:15,080
Speaker 12: And remember why Refi doesn't care what your credit score is.

1769
01:25:15,120 --> 01:25:17,639
Speaker 12: Just go to y refi dot com and tell them

1770
01:25:17,760 --> 01:25:21,520
Speaker 12: your friend Andrews sent you.

1771
01:25:21,560 --> 01:25:23,960
Speaker 2: Now, even if I will say send me an uber,

1772
01:25:24,400 --> 01:25:25,599
Speaker 2: like could you call me an uber?

1773
01:25:26,280 --> 01:25:27,080
Speaker 9: Yeah?

1774
01:25:27,280 --> 01:25:29,400
Speaker 6: What I will say is this is a disagreement where

1775
01:25:29,400 --> 01:25:31,200
Speaker 6: I have with Charlie. I think Charlie's advice take her

1776
01:25:31,200 --> 01:25:33,680
Speaker 6: to dinner, pay for everything makes sense if it is

1777
01:25:33,720 --> 01:25:36,400
Speaker 6: a person you already knew going into it, such that

1778
01:25:36,439 --> 01:25:39,160
Speaker 6: it's not really a first introduction. My general point of

1779
01:25:39,240 --> 01:25:41,880
Speaker 6: view on dating is because of the whole some people

1780
01:25:41,880 --> 01:25:44,720
Speaker 6: are just taking out both partners. Both potential partners need

1781
01:25:44,760 --> 01:25:46,960
Speaker 6: skin in the game the very first state to make

1782
01:25:47,000 --> 01:25:49,280
Speaker 6: sure that they're not just purely wasting each other's time.

1783
01:25:50,680 --> 01:25:51,600
Speaker 5: That's usually trying to be.

1784
01:25:51,840 --> 01:25:54,320
Speaker 4: That's why, that's why, that's why you say, let's meet

1785
01:25:54,360 --> 01:25:56,519
Speaker 4: up for Let's meet up at a bookstore, Let's meet

1786
01:25:56,600 --> 01:25:58,280
Speaker 4: up for coffee, Let's meet up for a walk in

1787
01:25:58,320 --> 01:26:01,080
Speaker 4: a park. There's so many there's Let's go see sunset,

1788
01:26:01,080 --> 01:26:02,280
Speaker 4: there's a million different things you can.

1789
01:26:02,360 --> 01:26:07,000
Speaker 7: Let's go see Odyssey in seventy millimeters and see Cyclops,

1790
01:26:07,080 --> 01:26:09,320
Speaker 7: milk goes all.

1791
01:26:09,439 --> 01:26:11,120
Speaker 5: I can't see how Americe wouldn't come out of that.

1792
01:26:11,160 --> 01:26:14,160
Speaker 2: Wait, this is basically the only The only.

1793
01:26:14,000 --> 01:26:17,200
Speaker 4: Part of the Odyssey that I liked actually was the

1794
01:26:17,240 --> 01:26:21,160
Speaker 4: part where where he's tied to the to the mast

1795
01:26:21,320 --> 01:26:24,919
Speaker 4: and screaming, because that was basically me internally watching that movie.

1796
01:26:25,880 --> 01:26:29,920
Speaker 11: Oh no, putting.

1797
01:26:29,760 --> 01:26:30,679
Speaker 3: Wax in his ear.

1798
01:26:32,479 --> 01:26:33,920
Speaker 4: Yeah, I was trying to put the wax in my

1799
01:26:33,960 --> 01:26:36,120
Speaker 4: ear as I as I watched it, Like make it

1800
01:26:36,200 --> 01:26:38,280
Speaker 4: stop so bad?

1801
01:26:38,680 --> 01:26:41,599
Speaker 7: Yeah, all right, we have we're this is a real

1802
01:26:41,640 --> 01:26:42,439
Speaker 7: marathon thought crime.

1803
01:26:42,439 --> 01:26:44,840
Speaker 6: But we have one last topic that we do want

1804
01:26:44,880 --> 01:26:48,600
Speaker 6: to hit. Mike's very fired up about this one. Mikey,

1805
01:26:48,960 --> 01:26:52,280
Speaker 6: you're you've been around, You've been around some pastors and

1806
01:26:52,320 --> 01:26:56,639
Speaker 6: faith leaders and churches and communities. Who is Catherine Crik

1807
01:26:57,680 --> 01:27:02,320
Speaker 6: She is, She's in a She is an apostle. She's

1808
01:27:02,439 --> 01:27:08,439
Speaker 6: part of this like New Apostolic Reformation movement, which is

1809
01:27:08,520 --> 01:27:13,479
Speaker 6: like nar she uh. She used to let me just

1810
01:27:13,560 --> 01:27:15,679
Speaker 6: kind of tell the history of her. So she started

1811
01:27:16,080 --> 01:27:18,920
Speaker 6: out as an actress, like many many years ago. She

1812
01:27:19,120 --> 01:27:22,880
Speaker 6: ran a company called like cougars only have.

1813
01:27:22,840 --> 01:27:25,559
Speaker 7: You have you heard about this? Where she like helped

1814
01:27:25,560 --> 01:27:29,320
Speaker 7: people find cougars. And then she was an actress on

1815
01:27:29,439 --> 01:27:33,400
Speaker 7: like many TV shows. She like played a porn star

1816
01:27:33,640 --> 01:27:36,320
Speaker 7: on a TV show. She wasn't she just played one

1817
01:27:36,320 --> 01:27:40,320
Speaker 7: on She played one on TV. Uh, and then she

1818
01:27:41,439 --> 01:27:43,920
Speaker 7: you know, ended up becoming Christian right. People can have

1819
01:27:44,000 --> 01:27:48,080
Speaker 7: bad pass Yeah, from Christian right. She becomes a Christian,

1820
01:27:48,120 --> 01:27:51,240
Speaker 7: but her first thing in Christendom is she starts making

1821
01:27:51,360 --> 01:27:56,519
Speaker 7: like ed M Christian music music videos of like her

1822
01:27:56,680 --> 01:28:01,040
Speaker 7: dancing with like all this Christian techno music. And then

1823
01:28:01,320 --> 01:28:05,280
Speaker 7: during like COVID, she started churches outside and it was

1824
01:28:05,439 --> 01:28:10,120
Speaker 7: very small for like many many years. And somewhere along

1825
01:28:10,160 --> 01:28:15,920
Speaker 7: the way she meets this African pastor from Tanzania who

1826
01:28:16,000 --> 01:28:22,559
Speaker 7: like is very much so like Pentecostal, like Apostolic, you know,

1827
01:28:23,880 --> 01:28:28,440
Speaker 7: making you fall to the floor, speaking in tongues and together.

1828
01:28:28,640 --> 01:28:32,040
Speaker 7: He like gives her this. She she goes out to Tanzania.

1829
01:28:32,120 --> 01:28:35,679
Speaker 7: She's on the stage. Can somebody find this clip? She's

1830
01:28:35,760 --> 01:28:40,480
Speaker 7: on stage and the Tanzanian pastor gives her the apostle

1831
01:28:40,720 --> 01:28:44,639
Speaker 7: you know, the apostate like or this apostle anointing where

1832
01:28:44,640 --> 01:28:46,400
Speaker 7: he's like, yeah, this is it. Yeah, and then he

1833
01:28:46,680 --> 01:28:52,080
Speaker 7: proceeds to dunk a bottle of pasic water on her head,

1834
01:28:52,640 --> 01:28:55,840
Speaker 7: anointing her an apostle. So she's just she's now like

1835
01:28:55,920 --> 01:28:59,559
Speaker 7: an anointed apostle. She claims she's an apostle, and when

1836
01:28:59,640 --> 01:29:02,200
Speaker 7: asked on like multiple Q and a zoom calls why

1837
01:29:02,240 --> 01:29:06,240
Speaker 7: she's an apostle, she quoted, well, God gave me this

1838
01:29:06,320 --> 01:29:10,440
Speaker 7: anointing and then out out of it, I was gifted furniture,

1839
01:29:10,760 --> 01:29:13,800
Speaker 7: and I was gifted many things. And that's why I'm

1840
01:29:13,840 --> 01:29:17,599
Speaker 7: an apostle. And so it's like already a very weird

1841
01:29:17,680 --> 01:29:21,040
Speaker 7: origin story. But now she will do these. She she

1842
01:29:21,200 --> 01:29:24,080
Speaker 7: claims that she does healings right, and so she'll do

1843
01:29:24,160 --> 01:29:27,000
Speaker 7: these like mass healings. She like puts out videos of

1844
01:29:27,040 --> 01:29:30,040
Speaker 7: her doing healings. She'll like have church services where she'll

1845
01:29:30,080 --> 01:29:31,880
Speaker 7: line people up and she'll just kind of like blow

1846
01:29:31,920 --> 01:29:33,760
Speaker 7: in the microphone and like hit them with the Holy

1847
01:29:33,800 --> 01:29:34,799
Speaker 7: Spirit and the lea, let's.

1848
01:29:34,640 --> 01:29:36,000
Speaker 5: Do it, let's do it. We have we have some

1849
01:29:36,080 --> 01:29:38,680
Speaker 5: clips of this. Uh let's see what's the what's the

1850
01:29:38,720 --> 01:29:39,439
Speaker 5: best one here?

1851
01:29:39,840 --> 01:29:42,280
Speaker 7: How about uh oh, I don't know if we have

1852
01:29:42,280 --> 01:29:45,920
Speaker 7: an exorcism as a full clip. We got Berrol Okay,

1853
01:29:46,040 --> 01:29:49,200
Speaker 7: so yeah, and yeah, see like this doesn't even really

1854
01:29:49,240 --> 01:29:51,000
Speaker 7: do it just like she'll go down.

1855
01:29:51,120 --> 01:29:51,519
Speaker 3: She'll be like.

1856
01:29:52,960 --> 01:29:55,200
Speaker 7: And she'll like blow into the microphone. They'll like start

1857
01:29:55,240 --> 01:29:57,559
Speaker 7: shaking on the ground. She'll be like, you will fall

1858
01:29:57,560 --> 01:30:00,439
Speaker 7: down in three two, Yeah, you can see here, and

1859
01:30:00,520 --> 01:30:04,400
Speaker 7: like it's just it's it's also really bad in that

1860
01:30:04,520 --> 01:30:10,240
Speaker 7: she claims that her anointing needs to be refilled by

1861
01:30:10,760 --> 01:30:14,040
Speaker 7: by donations, and so like you must, so she'll be

1862
01:30:14,160 --> 01:30:18,120
Speaker 7: like what you know, the the anointing goes out and

1863
01:30:18,160 --> 01:30:22,280
Speaker 7: it must be fulfilled and refilled, and because I'm showing it,

1864
01:30:22,840 --> 01:30:25,400
Speaker 7: and so that's where she'll like ask for money. Right,

1865
01:30:25,560 --> 01:30:27,200
Speaker 7: So this is what's some of the stuff is what's

1866
01:30:27,200 --> 01:30:29,880
Speaker 7: been very very cult So we bring this up because

1867
01:30:29,880 --> 01:30:30,800
Speaker 7: it's been going viral.

1868
01:30:30,960 --> 01:30:34,640
Speaker 6: Let's do uh, let's do that again. Needing to refill

1869
01:30:34,720 --> 01:30:37,080
Speaker 6: through donations, Let's do that first twenty one.

1870
01:30:39,400 --> 01:30:42,880
Speaker 10: So now we need to sew specifically for his deliverance

1871
01:30:43,720 --> 01:30:48,560
Speaker 10: and speak this is for his deliverance, and a good amount.

1872
01:30:48,240 --> 01:30:49,920
Speaker 2: The anointing is working right now. You need to be

1873
01:30:49,960 --> 01:30:51,479
Speaker 2: open to God to renounce more things.

1874
01:30:51,760 --> 01:30:53,439
Speaker 9: And even when God puts on your heart to even

1875
01:30:53,479 --> 01:30:54,360
Speaker 9: sew is seeded right.

1876
01:30:54,280 --> 01:30:57,200
Speaker 7: Now online or something you know, like right now.

1877
01:30:57,040 --> 01:30:58,400
Speaker 2: This is what God wants you to do.

1878
01:30:58,479 --> 01:30:59,040
Speaker 7: Be open to.

1879
01:30:59,000 --> 01:31:02,040
Speaker 11: Renounce, and he's going to be free absoletely, I declare,

1880
01:31:02,040 --> 01:31:02,800
Speaker 11: and she's its name.

1881
01:31:04,360 --> 01:31:07,280
Speaker 6: For those who couldn't see, this woman who was being

1882
01:31:07,320 --> 01:31:10,679
Speaker 6: preached to sow seeds by donating online or something, had

1883
01:31:10,720 --> 01:31:13,080
Speaker 6: her child on the ground and he looks like he's

1884
01:31:13,080 --> 01:31:16,640
Speaker 6: about twelve or so, and he's like lashing out, like

1885
01:31:16,840 --> 01:31:20,720
Speaker 6: doing kind of airkicks and waving his arms around. I

1886
01:31:20,720 --> 01:31:22,439
Speaker 6: do not know if he was delivered. This is another

1887
01:31:22,439 --> 01:31:25,240
Speaker 6: thing though, This is what's also getting attention. This is

1888
01:31:25,840 --> 01:31:30,400
Speaker 6: her receiving birthday wishes from supporters Clip nineteen.

1889
01:31:31,720 --> 01:31:36,120
Speaker 13: I love you so much, Mama, Happy early birthday. It

1890
01:31:36,200 --> 01:31:39,800
Speaker 13: is such an honor to serve you. I honor you

1891
01:31:40,280 --> 01:31:43,799
Speaker 13: as your spiritual daughter. I love you, and you're my favorite.

1892
01:31:44,160 --> 01:31:45,400
Speaker 13: You're my favorite person.

1893
01:31:51,600 --> 01:31:52,840
Speaker 3: Happy birthday, Mama.

1894
01:31:54,320 --> 01:31:58,439
Speaker 13: I love you so much. I cherish this ministry so much.

1895
01:31:58,640 --> 01:31:59,559
Speaker 2: I love you so much.

1896
01:32:00,040 --> 01:32:02,200
Speaker 7: Thank you for laying down your life that we may

1897
01:32:02,280 --> 01:32:04,200
Speaker 7: live and be equipped and transformed.

1898
01:32:04,200 --> 01:32:06,760
Speaker 3: So I honor you. I love you so much.

1899
01:32:08,080 --> 01:32:14,160
Speaker 1: Happy birthday, God bless you.

1900
01:32:14,240 --> 01:32:17,519
Speaker 11: I love you. Happy birthday, God bless you.

1901
01:32:17,720 --> 01:32:20,439
Speaker 13: It's an honor to serve your Aposta, Catherine, and I

1902
01:32:20,520 --> 01:32:26,479
Speaker 13: love you so much. Happy birthday.

1903
01:32:28,000 --> 01:32:31,120
Speaker 6: What's actually bothering me here especially is this title of apostle.

1904
01:32:31,160 --> 01:32:32,040
Speaker 5: What's what's going on?

1905
01:32:32,080 --> 01:32:34,920
Speaker 7: Well, it's self appointed, like this doesn't even have to

1906
01:32:34,920 --> 01:32:37,280
Speaker 7: be like a debate about that. This is more that

1907
01:32:37,439 --> 01:32:42,479
Speaker 7: like she she is a self appointed Apostle one two.

1908
01:32:42,840 --> 01:32:45,280
Speaker 7: It's very weird and that like they call her mama,

1909
01:32:45,760 --> 01:32:49,080
Speaker 7: and then she calls the her like mentor the African

1910
01:32:49,400 --> 01:32:53,479
Speaker 7: Tanzanian guy, she calls him daddy, like she went on

1911
01:32:53,520 --> 01:32:56,000
Speaker 7: that stage when he's like pouring the water, She's like

1912
01:32:56,080 --> 01:32:59,559
Speaker 7: thank you, daddy, as he's like pooring. It's that's also

1913
01:32:59,800 --> 01:33:03,880
Speaker 7: it's just very weird, Like there's stuff that's weird about it. Also,

1914
01:33:04,040 --> 01:33:07,880
Speaker 7: like her saying that like she must be refilled, like

1915
01:33:07,960 --> 01:33:11,840
Speaker 7: it talks it almost references like a deficiency, and there

1916
01:33:12,000 --> 01:33:14,680
Speaker 7: is no deficiency in the Holy Spirit, Like you know,

1917
01:33:14,800 --> 01:33:17,679
Speaker 7: I just pulled this up. Ephesians thirteen through fourteen talks

1918
01:33:17,680 --> 01:33:19,760
Speaker 7: about this. Romans I think eight through nine talks about

1919
01:33:19,760 --> 01:33:24,200
Speaker 7: this just like they're believers are sealed with the Holy

1920
01:33:24,240 --> 01:33:28,560
Speaker 7: Spirit who guarantees eternal inheritance, and yet she's offering inheritance

1921
01:33:28,640 --> 01:33:32,519
Speaker 7: and that it must be refilled with it's it's it's

1922
01:33:32,760 --> 01:33:35,320
Speaker 7: it's all very odd. It's very weird and needs to

1923
01:33:35,320 --> 01:33:38,320
Speaker 7: be called out. I mean, we as Christians have a

1924
01:33:38,439 --> 01:33:42,200
Speaker 7: duty to police our own ranks, and we need to

1925
01:33:42,240 --> 01:33:44,639
Speaker 7: call this stuff out. And like the Bible warns about

1926
01:33:44,640 --> 01:33:46,639
Speaker 7: this all the time. Christ warned about this in Matthew

1927
01:33:46,720 --> 01:33:49,720
Speaker 7: false teachers and false prophets, and like you have to

1928
01:33:49,840 --> 01:33:51,720
Speaker 7: always be on the lookout. I found this girl that

1929
01:33:51,920 --> 01:33:53,040
Speaker 7: is a follower and goes.

1930
01:33:52,920 --> 01:33:53,360
Speaker 11: To the church.

1931
01:33:53,680 --> 01:33:56,840
Speaker 7: She's not big, like she has a thousand followers, and

1932
01:33:56,920 --> 01:33:58,880
Speaker 7: her her videos get like eighty likes, And I was like,

1933
01:33:59,120 --> 01:34:00,760
Speaker 7: I want to like put my self in her mind,

1934
01:34:00,800 --> 01:34:04,519
Speaker 7: like what does she think she genuinely believes this, and

1935
01:34:04,640 --> 01:34:07,280
Speaker 7: like she has she is a member of this church

1936
01:34:07,320 --> 01:34:09,360
Speaker 7: and she believes that she's an apostle and like all

1937
01:34:09,360 --> 01:34:12,360
Speaker 7: these things, and so I immediately just stopped and I'm like, Okay,

1938
01:34:12,560 --> 01:34:15,160
Speaker 7: who's my Catherine, like Crick, like.

1939
01:34:15,120 --> 01:34:16,240
Speaker 3: Who is my I have?

1940
01:34:16,400 --> 01:34:20,080
Speaker 7: There's something in our lives that we believe so firmly

1941
01:34:20,360 --> 01:34:23,799
Speaker 7: that must be true. It is true, and you give everything,

1942
01:34:23,840 --> 01:34:26,120
Speaker 7: you give your time, your energy, your money to it,

1943
01:34:26,479 --> 01:34:28,759
Speaker 7: and you don't stop to be like is this of God?

1944
01:34:29,000 --> 01:34:29,880
Speaker 3: Is this a good thing?

1945
01:34:30,280 --> 01:34:33,040
Speaker 7: And so like if you're watching this, you're probably cringing,

1946
01:34:33,080 --> 01:34:34,000
Speaker 7: You're like this is crazy.

1947
01:34:34,360 --> 01:34:35,360
Speaker 3: It is one.

1948
01:34:35,600 --> 01:34:38,000
Speaker 7: But I'll ask yourself, use this as an opportunity. Where

1949
01:34:38,040 --> 01:34:41,040
Speaker 7: in your life do you have something that you could

1950
01:34:41,280 --> 01:34:43,720
Speaker 7: could be totally false that you're like sowing so much

1951
01:34:43,800 --> 01:34:45,280
Speaker 7: energy being like that is the truth.

1952
01:34:45,680 --> 01:34:47,360
Speaker 3: That is the truth, that is the way.

1953
01:34:47,640 --> 01:34:50,160
Speaker 7: I am totally behind that, Like I'm putting all my

1954
01:34:50,280 --> 01:34:50,760
Speaker 7: legs in like.

1955
01:34:51,360 --> 01:34:55,919
Speaker 2: Two million dollar watches for example, or the Odyssey being good.

1956
01:34:57,200 --> 01:34:58,920
Speaker 3: Any other and just Christopher Nolan.

1957
01:34:58,960 --> 01:35:01,280
Speaker 4: And there are a lot of people who who commit

1958
01:35:01,360 --> 01:35:02,760
Speaker 4: idolatry of Christopher Nolan.

1959
01:35:04,479 --> 01:35:05,960
Speaker 9: Yeah, I think it comes down to idolatry.

1960
01:35:06,080 --> 01:35:09,599
Speaker 3: For sure, She's she's crazy. This is cult adjacent. This

1961
01:35:09,680 --> 01:35:11,000
Speaker 3: is cult adjacent for sure.

1962
01:35:11,160 --> 01:35:14,280
Speaker 7: A lot of tendencies here, but like this is not

1963
01:35:14,520 --> 01:35:17,640
Speaker 7: good for the Kingdom of Christ, and we have a

1964
01:35:17,720 --> 01:35:18,720
Speaker 7: duty to call this out.

1965
01:35:20,479 --> 01:35:21,479
Speaker 9: Yeah, it's a good match.

1966
01:35:21,600 --> 01:35:24,519
Speaker 2: I agree. I totally agree. I agree. Just I totally

1967
01:35:24,560 --> 01:35:25,120
Speaker 2: agree with this.

1968
01:35:25,120 --> 01:35:27,160
Speaker 4: This kind of reminds me of and and Mike. You

1969
01:35:28,040 --> 01:35:29,720
Speaker 4: probably remember when we had the last time I think

1970
01:35:29,720 --> 01:35:33,920
Speaker 4: you were here. We had that conversation about like like

1971
01:35:34,680 --> 01:35:38,639
Speaker 4: Christ's plaitation and we were talking about like putting Jesus

1972
01:35:38,640 --> 01:35:40,960
Speaker 4: on energy drinks and stuff. And I think for a

1973
01:35:41,000 --> 01:35:42,800
Speaker 4: lot of us, like where we came down on it

1974
01:35:42,840 --> 01:35:45,840
Speaker 4: was like it's sort of the problem is when you

1975
01:35:45,880 --> 01:35:49,840
Speaker 4: were using the actual image of Christ and putting that

1976
01:35:49,920 --> 01:35:54,080
Speaker 4: like just slapping that on your product and without anything

1977
01:35:54,160 --> 01:35:56,599
Speaker 4: other than like saying that Jesus wants you to buy

1978
01:35:56,600 --> 01:35:59,800
Speaker 4: this energy drink, you know, and in just a very

1979
01:36:00,080 --> 01:36:04,519
Speaker 4: over like again garish and gaudy kind of way, as

1980
01:36:04,520 --> 01:36:07,240
Speaker 4: opposed to like I think we talked about like in

1981
01:36:07,280 --> 01:36:08,880
Speaker 4: and out and they just kind of put like the

1982
01:36:09,520 --> 01:36:11,280
Speaker 4: Bible verse and the passage will be on like the

1983
01:36:11,320 --> 01:36:13,599
Speaker 4: bottom of your cup or whatever, or if you're putting

1984
01:36:13,600 --> 01:36:17,240
Speaker 4: stuff that is Christian but not like you know, just

1985
01:36:17,360 --> 01:36:20,519
Speaker 4: exploiting Jesus as like Jesus drink, you know.

1986
01:36:21,240 --> 01:36:23,479
Speaker 9: I think it comes down to and that.

1987
01:36:23,600 --> 01:36:24,840
Speaker 2: This is obviously exploitation.

1988
01:36:25,280 --> 01:36:27,840
Speaker 4: It's just obviously exploitation, and this is the kind of

1989
01:36:27,840 --> 01:36:29,920
Speaker 4: stuff that you will go to health for. It's without

1990
01:36:29,960 --> 01:36:31,800
Speaker 4: if you if you do this without repenting, you will

1991
01:36:31,840 --> 01:36:32,240
Speaker 4: go to hell.

1992
01:36:32,200 --> 01:36:32,800
Speaker 9: For this kind of stuff.

1993
01:36:32,840 --> 01:36:37,840
Speaker 10: I think this just is another case where we have

1994
01:36:37,920 --> 01:36:44,080
Speaker 10: to continue to like explore everything, like like double check

1995
01:36:44,120 --> 01:36:49,559
Speaker 10: everything with scripture, just like thes like what whoever, whoever

1996
01:36:49,600 --> 01:36:55,040
Speaker 10: you're listening to, whatever you're reading anything, go back and

1997
01:36:55,080 --> 01:36:59,800
Speaker 10: look for the scripture. Look look and hold up God's

1998
01:36:59,800 --> 01:37:03,920
Speaker 10: word as the magnifying glass to figure out what is true.

1999
01:37:04,280 --> 01:37:07,000
Speaker 10: And that's that's the biggest thing, and we the more

2000
01:37:07,080 --> 01:37:11,840
Speaker 10: and more that we're in just our culture today, it's

2001
01:37:11,960 --> 01:37:14,080
Speaker 10: just that's what we gotta do.

2002
01:37:14,439 --> 01:37:15,080
Speaker 2: Yeah, you know.

2003
01:37:17,040 --> 01:37:17,559
Speaker 3: For sure?

2004
01:37:18,200 --> 01:37:22,080
Speaker 2: Yeah, all right, Rose, are you going to? Are you

2005
01:37:22,160 --> 01:37:23,200
Speaker 2: going to Invictus?

2006
01:37:24,760 --> 01:37:27,240
Speaker 9: I want to? I'm so you should pull through. I'm

2007
01:37:27,240 --> 01:37:27,599
Speaker 9: so down.

2008
01:37:27,680 --> 01:37:29,080
Speaker 3: Let's go. Yeah, you should come.

2009
01:37:29,120 --> 01:37:29,960
Speaker 9: Actually, I am going to.

2010
01:37:29,880 --> 01:37:32,559
Speaker 2: Spy so I usually listen to the shows, so I didn't.

2011
01:37:32,600 --> 01:37:34,240
Speaker 2: I didn't realize that that was going on. So what

2012
01:37:34,280 --> 01:37:36,360
Speaker 2: do you what do you end up doing? Does anyone?

2013
01:37:36,400 --> 01:37:37,640
Speaker 2: Does anyone know Invictus?

2014
01:37:37,800 --> 01:37:39,080
Speaker 5: It's like a state secret.

2015
01:37:39,360 --> 01:37:42,000
Speaker 7: Yeah, it's like I don't think the agenda is public yet.

2016
01:37:42,240 --> 01:37:43,200
Speaker 7: But it's going to be fun.

2017
01:37:43,800 --> 01:37:46,000
Speaker 2: Is this the is this the inaugural Men Summit?

2018
01:37:46,200 --> 01:37:47,200
Speaker 3: It's going to be epic.

2019
01:37:47,280 --> 01:37:47,840
Speaker 2: It's immense.

2020
01:37:49,640 --> 01:37:53,639
Speaker 7: We advertise it on the show eight six yep and

2021
01:37:53,680 --> 01:37:55,600
Speaker 7: the only it is.

2022
01:37:55,640 --> 01:37:57,679
Speaker 3: And it's very it's not a lot of people.

2023
01:37:57,760 --> 01:38:00,040
Speaker 6: Yeah, it's app you have to apply and it's so

2024
01:38:00,120 --> 01:38:04,040
Speaker 6: it's invitation only two applicants, and there's going to be participants.

2025
01:38:04,160 --> 01:38:07,320
Speaker 6: We're not going to be releasing the speaker list ahead

2026
01:38:07,360 --> 01:38:07,719
Speaker 6: of time.

2027
01:38:08,479 --> 01:38:10,479
Speaker 7: Uh, it's very clever.

2028
01:38:10,560 --> 01:38:11,240
Speaker 5: I must say.

2029
01:38:11,280 --> 01:38:13,800
Speaker 6: This is the point that they're very aware of the

2030
01:38:13,840 --> 01:38:17,720
Speaker 6: first the young men versus young women, and that young

2031
01:38:17,760 --> 01:38:20,080
Speaker 6: men want to do something that's maybe a little harder,

2032
01:38:20,120 --> 01:38:23,400
Speaker 6: that's a little more demanding, that isn't like just out

2033
01:38:23,400 --> 01:38:26,840
Speaker 6: front and public and everything. And I think they have

2034
01:38:27,080 --> 01:38:30,000
Speaker 6: a very interesting plan. Yep, but I don't know exactly

2035
01:38:30,000 --> 01:38:31,320
Speaker 6: what's going to be involved because I'm not part of

2036
01:38:31,320 --> 01:38:31,840
Speaker 6: the secret plan.

2037
01:38:32,000 --> 01:38:35,360
Speaker 3: Yeah, and uh, next time I see you, guys might

2038
01:38:35,400 --> 01:38:35,920
Speaker 3: have a baby.

2039
01:38:36,080 --> 01:38:36,320
Speaker 13: Yeah.

2040
01:38:36,680 --> 01:38:39,240
Speaker 3: Hey, I think Zuzu left a little message.

2041
01:38:39,240 --> 01:38:42,080
Speaker 2: Hey, hey, hey, you already have a baby.

2042
01:38:42,520 --> 01:38:44,320
Speaker 9: Yeah, that's so true.

2043
01:38:44,760 --> 01:38:48,439
Speaker 3: We are pro life up in this and we.

2044
01:38:47,760 --> 01:38:50,559
Speaker 4: We I know that, I know what you're saying, but

2045
01:38:50,560 --> 01:38:51,760
Speaker 4: but it's but it's true though.

2046
01:38:51,800 --> 01:38:53,920
Speaker 7: It's true that I will have it in my hands.

2047
01:38:54,720 --> 01:38:57,120
Speaker 2: That's mean you'll literally have.

2048
01:38:57,400 --> 01:39:02,720
Speaker 3: Well you hey, maybe maybe i'll bring him guy.

2049
01:39:03,000 --> 01:39:05,439
Speaker 5: Do you guys just have a baby guy attached to you?

2050
01:39:05,640 --> 01:39:07,519
Speaker 3: Yeah, we have a name. We have a name. But

2051
01:39:07,600 --> 01:39:10,280
Speaker 3: it's very invictis we're keeping it private.

2052
01:39:10,720 --> 01:39:14,760
Speaker 4: There is okay, good, So we'll like like like like

2053
01:39:14,840 --> 01:39:16,320
Speaker 4: kind of like what Charlie and Erica did, so like

2054
01:39:16,439 --> 01:39:17,519
Speaker 4: just like always private.

2055
01:39:17,560 --> 01:39:19,920
Speaker 2: You mean, we'll just private until you know.

2056
01:39:19,880 --> 01:39:22,720
Speaker 7: It's private, until until he's born, and then I'll tell

2057
01:39:22,760 --> 01:39:26,040
Speaker 7: you got it.

2058
01:39:26,040 --> 01:39:39,200
Speaker 2: It's Agamemnon Odysseus. Call him a O for sure, just.

2059
01:39:39,160 --> 01:39:45,200
Speaker 4: Go oh hey, O man, I love it. That's what

2060
01:39:45,240 --> 01:39:47,599
Speaker 4: we did with with with with a J because we

2061
01:39:47,600 --> 01:39:50,280
Speaker 4: we we we did Andre Joseph for our second and

2062
01:39:50,320 --> 01:39:50,639
Speaker 4: I was.

2063
01:39:50,600 --> 01:39:53,759
Speaker 2: Like, Andre, that's a mouthful. I'm calling it as just stuck.

2064
01:39:54,360 --> 01:39:57,600
Speaker 4: And now he's just very excited and I'll ask him like,

2065
01:39:57,640 --> 01:39:58,840
Speaker 4: do you want to do you want us to call

2066
01:39:58,880 --> 01:39:59,320
Speaker 4: you Andre?

2067
01:39:59,439 --> 01:40:00,960
Speaker 2: And he's like, but I'm AJ.

2068
01:40:02,320 --> 01:40:02,840
Speaker 3: I love it.

2069
01:40:02,960 --> 01:40:06,560
Speaker 6: I'm like, okay, so he's just AJ nice alrighty. I

2070
01:40:06,560 --> 01:40:09,519
Speaker 6: think that's a perfectly good high note to go out on.

2071
01:40:09,720 --> 01:40:12,120
Speaker 6: So everybody, thank you for joining us. We got through like.

2072
01:40:12,080 --> 01:40:13,200
Speaker 7: Hate topics tonight.

2073
01:40:13,240 --> 01:40:14,160
Speaker 5: That was a lot of fun.

2074
01:40:14,439 --> 01:40:17,000
Speaker 6: That was a last We'll make sure Mikey has fond

2075
01:40:17,040 --> 01:40:19,639
Speaker 6: memories when he's watching all seven hundred episodes of One

2076
01:40:19,680 --> 01:40:20,559
Speaker 6: Piece with his new.

2077
01:40:20,439 --> 01:40:22,559
Speaker 5: Baby while he does that.

2078
01:40:22,680 --> 01:40:24,880
Speaker 2: We hope that he and all of that was key

2079
01:40:25,000 --> 01:40:25,519
Speaker 2: good episode.

2080
01:40:25,520 --> 01:40:29,360
Speaker 6: Guys, keep committing thought crimes.

2081
01:40:33,120 --> 01:40:35,200
Speaker 7: For more on many of these stories and news you

2082
01:40:35,200 --> 01:40:37,200
Speaker 7: can trust, go to Charliekirk dot com.