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Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George

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Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty.

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Speaker 2: Armstrong and Gatty and no Key Armstrong and Getty.

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Speaker 3: We were just talking about our local NFL team USA

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Speaker 3: and what they did in the NFL Draft yesterday. It's amazing,

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Speaker 3: what a giant event that has become. M and uh,

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Speaker 3: you know, good for you. A few can kill a

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Speaker 3: few hours of your life. Happy following that, probably happier

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Speaker 3: than I am not following it, but it just it's it's,

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Speaker 3: I don't know, find it astounding that it is at

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Speaker 3: the level of entertainment and attention that it gets.

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Speaker 1: Everyone's passions seem weird to everyone else, true unless they

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Speaker 1: share them.

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Speaker 2: That's a pretty good truism. Yeah, yeah, no matter what

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Speaker 2: it is, including having children.

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Speaker 1: I'm a forty nine Ers fan to the point of

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Speaker 1: sometimes I think I'm wasting the precious hours God has

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Speaker 1: given me. But a quick summary is fine, Well, oh

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Speaker 1: he's a wide receiver who did this for Memphis State?

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Speaker 4: Oh cool, Well, it's funny.

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Speaker 3: My problem with it, as I've mentioned many many times,

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Speaker 3: is when I was a super hardcore sports fan, it

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Speaker 3: became clear to me that there's not that much relationship

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Speaker 3: between what you hope is going to happen and what

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Speaker 3: actually happens.

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Speaker 2: So I just tend not to get that excited about

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Speaker 2: those things.

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Speaker 1: Yeah. I think hardcore sports fans understand that, but they

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Speaker 1: like the excitement of it nonetheless. Well, apart of the

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Speaker 1: thrill of buying a lottery ticket.

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Speaker 2: It's not a big thrill, but it's still a thrill,

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Speaker 2: got you.

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Speaker 1: Yeah, a lot of stuff squeeze in this hour. In fact,

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Speaker 1: I'm getting stressed out trying to figure out how to

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Speaker 1: cram it all in.

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Speaker 4: We won't.

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Speaker 1: But anyway, that's a fascinating thought. You just gave us

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Speaker 1: the whole I'm here all week.

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Speaker 3: Everyone else's passions seem weird if they're not yours, no

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Speaker 3: matter what. And you could come up with a hundred examples, including,

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Speaker 3: like I said, having kids, but uh, fishing dogs, your

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Speaker 3: kind of music, watching sports literature for me whatever, or.

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Speaker 2: Watching this sport and not that sport, right right, yeah.

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Speaker 1: Yeah, yeah, yeah, well each throw And that's what I say,

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Speaker 1: except you pieces of crap who were trying to pitch

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Speaker 1: Marxism and thievery and the rest of it.

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Speaker 4: I was reading more about that utterly.

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Speaker 1: Incomprehensibly evil Hassan Piker and the lefties who embrace him

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Speaker 1: these days, and that's quickly becoming the mainstream of the

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Speaker 1: Democratic Party. He's worse than I thought, worse than I thought.

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Speaker 1: He's seriously calling for the murder of property owners and

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Speaker 1: people who participate in the free market. He's being embraced

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Speaker 1: by the New York Times.

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Speaker 2: I've missed this guy somehow.

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Speaker 1: Well, he's more a Sims than anything else. But more

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Speaker 1: on that to come. Let's do something at least slightly

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Speaker 1: amusing and cheery. Time to fake, time to take a

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Speaker 1: fond look back.

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Speaker 4: At the week that was.

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Speaker 1: It's caw clips of the week.

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Speaker 5: Would you use a nuclear weapon against Ron? You post

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Speaker 5: it on the truth social No, we don't need this now,

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Speaker 5: Why do I need it?

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Speaker 2: A nuclear weapons? She'd never be allowed to be used

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Speaker 2: by anybody.

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Speaker 5: The US forces seized an Iranian flagged cargo ship.

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Speaker 6: The announcement of that ceasefire extension did not bring down

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Speaker 6: the tension here in the region.

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Speaker 3: A member of Iran's parliament taunting an eye for an eye,

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Speaker 3: a tanker for a tanker.

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Speaker 6: The real endless war is the war that Iran has

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Speaker 6: waged on us for forty seven years?

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Speaker 1: What grade does he get on homelessness?

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Speaker 2: On effort? I would give him an A.

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Speaker 7: I'm a notoriously tough grader, but I would probably give

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Speaker 7: him a.

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Speaker 2: Bee on homelessness.

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Speaker 6: Well, by the way, I'd love to be in your plus, Katie,

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Speaker 6: if you get beef, well, cavin you some still on

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Speaker 6: homeless Yes, my goodness, you.

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Speaker 2: Won't give us a grade?

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Speaker 1: You won't him?

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Speaker 2: No, I haven't followed it closely enough to give him

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Speaker 2: a grade.

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Speaker 6: Forty years ago, the Southern Poverty Law Center bankrupted the Klan,

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Speaker 6: But Tuesday the tables turned. The Justice Department charged the

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Speaker 6: organization with fraud.

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Speaker 5: Remember, without the Southern Poverty Law Center, racism might disappear forever,

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Speaker 5: and that would be bad for the Southern Poverty Law Center.

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Speaker 8: There are new questions tonight and few answers into eleven

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Speaker 8: missing or dead scientists vanished or killed over the past

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Speaker 8: three years.

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Speaker 2: On Cape Cod, Massachusetts.

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Speaker 5: A second chance for one lobster, A rare split colored

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Speaker 5: lobster saved saved from the lobster all.

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Speaker 2: It's clips of the week.

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Speaker 3: Can you please find me food? It's a very generic question.

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Speaker 3: A couple of things from clips of the week that

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Speaker 3: sit out to me. One, we had some clips there

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Speaker 3: of the gubernatorial debate in California, which Steve Hilton was

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Speaker 3: reuh replying, couldn't come up with the word Katie Porter.

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Speaker 3: At one point she said during the debate, I was

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Speaker 3: a college professor, and he said.

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Speaker 2: Of course you were, which I thought was really good.

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Speaker 3: But the whole giving a grade on Gavin Newsom's handling

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Speaker 3: of the homeless situation in which the two Republicans went

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Speaker 3: with f's and the Democrats went with b's and a's. Again,

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Speaker 3: if this is an a what the hell? What a

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Speaker 3: sea look like?

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Speaker 7: That?

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Speaker 2: What almost see me?

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Speaker 1: Apocalypse lipping in my home eaten by zombies.

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Speaker 3: Anyway, we got this text about California, particularly this the

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Speaker 3: capitol of California, Sacramento. I was in New York City

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Speaker 3: last week. It was one hundred times cleaner than Sacramento.

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Speaker 3: I've had this experience multiple times in the last couple

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Speaker 3: of years. I saw a total of three people sleeping

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Speaker 3: on the street in New York and I saw NYPD

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Speaker 3: all over the streets walking a beat.

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Speaker 2: It was wonderful.

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Speaker 1: It's been my.

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Speaker 3: Experience, which the point being because New York wasn't that way,

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Speaker 3: like early nineties, first time I ever went to New

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Speaker 3: York City wasn't that way at all. Policy matters, Ah,

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Speaker 3: why is that such a difficult concept for so many

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Speaker 3: people to believe that people act like it's the weather

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Speaker 3: just weird going through a couple of cold years, or

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Speaker 3: more and more rain this year, more.

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Speaker 2: Homeless people this year. Policy is what does it?

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Speaker 1: I know there's some days I'm so enthused to lead

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Speaker 1: the charge and shout and yell and sing to that,

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Speaker 1: and some days I'm just like, hey, you know what,

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Speaker 1: you people, You're gonna get what you deserve.

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Speaker 4: Go to hell.

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Speaker 2: I was so.

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Speaker 1: Discouraged by the idiocy of the American public sometimes.

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Speaker 3: Well, San Francisco is much better now, but like if

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Speaker 3: you leave La or Sacramento and you go to New York,

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Speaker 3: it's shocking you look around. I don't see, as far

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Speaker 3: as I can see each direction, I don't see a

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Speaker 3: single street person.

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Speaker 1: That I give given whosom an a that never happens

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Speaker 1: in Sacramento.

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Speaker 2: Yeah.

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Speaker 1: Yeah, So one of these stories I wanted to come

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Speaker 1: in on that I was reminded of during the eclipse

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Speaker 1: of the week is the SPLC Southern Poverty Law Center

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Speaker 1: story about how they are essentially paying to keep racism

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Speaker 1: alive because that's how they earn money.

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Speaker 4: And one of the aspects of it.

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Speaker 1: Was that they were paying a couple of the key

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Speaker 1: people organizing the idiotic Unite the Right thing Unite the

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Speaker 1: Right in Charlottesville a number of years ago. They're like,

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Speaker 1: at paying the guy who would bust people to the

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Speaker 1: rally to make sure there was a good turnout. And

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Speaker 1: they paid two hundred and seventy thousand dollars excuse me,

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Speaker 1: to a Unite the Right rally leader. Two hundred and

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Speaker 1: seventy thousand dollars. Unbelievably wise investment. October twenty sixteen, the

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Speaker 1: year before the rally, they got about fifty two million

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Speaker 1: dollars in revenue.

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Speaker 2: Oh that's a lot of money.

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Speaker 4: Million racer.

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Speaker 3: That's a successful business right there, Right after the rally,

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Speaker 3: which they advertised, they paid to advertise, they sponsored it,

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Speaker 3: they had a guy going around picking people up to

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Speaker 3: make sure there was a good crowd.

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Speaker 1: So right after the rally, not fifty two million, one

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Speaker 1: hundred and thirty three.

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Speaker 2: Million, that's a very successful business.

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Speaker 1: Including notably a million dollars from Georgia and them all Clooney,

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Speaker 1: all sorts of giant donations to the SPLC. They successfully

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Speaker 1: pulled off their Unite the Right rally. Does that overstate

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Speaker 1: their involvement in it? Yes, some, but not completely.

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Speaker 7: Well.

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Speaker 3: I thought George Colony was smarter than that, because the

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Speaker 3: SPLC has been fraudule, obviously fraudulent in my mind for decades.

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Speaker 3: You gave them seven figures worth of money, Chris. It

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Speaker 3: might have been his wife and he just said whatever,

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Speaker 3: it'll shut her up.

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Speaker 1: Look, George is a very bray kuy clearly. But if

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Speaker 1: you exist in a in an ideological bubble where you

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Speaker 1: are never exposed to criticism of the SPLC, you're not

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Speaker 1: aware of it.

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Speaker 4: That's you know.

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Speaker 1: And some days again I'm in a mood that I think, Wow,

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Speaker 1: the key here is to help the people have the

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Speaker 1: left understand. Like I said earlier today, we are not

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Speaker 1: who you think we are. We don't believe what you

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Speaker 1: think we believe. We're not advocating what you think we're

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Speaker 1: advocating advocating You've gotten a completely distorted view. And there

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Speaker 1: are some days I just want to punch him in

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Speaker 1: the head. But yeah, Cloty has no idea what the

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Speaker 1: SBLC really is. I believe it anyway from fifty two

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Speaker 1: million to one hundred and thirty three million.

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Speaker 4: After it's an I'll do the math for you.

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Speaker 1: It's about an eighty two million dollar increase thanks to

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Speaker 1: their sponsorship of the Unite the Right.

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Speaker 3: Rally, so that they could have represent I should go

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Speaker 3: back and dig it up representatives from that organization on CNN.

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Speaker 3: I guarantee you that afternoon the next morning, well, Jim

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Speaker 3: White supremacy is on the rise all across this.

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Speaker 2: Nation, and it's blah blah blah blah blah.

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Speaker 1: Hapving spend Oh you're right, hundreds of thousands of dollars

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Speaker 1: to promote the event.

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Speaker 2: Oh, I would love to hear that. So just a

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Speaker 2: little more on them. We got a minute.

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Speaker 1: The SPLC was able to afford such payments, so they

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Speaker 1: mentioned the payments to the various right winging groups, thanks

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Speaker 1: in part to its offshore assets, which skyrocketed over the

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Speaker 1: last decade, growing from forty four million dollars in non

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Speaker 1: US equity holding in its fiscal year ending in twenty

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Speaker 1: thirteen to a staggering two hundred and thirty three million

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Speaker 1: dollars in its fiscal year ending October twenty of October

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Speaker 1: twenty one, a four hundred and thirty percent increase Since then,

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Speaker 1: there are non US equities blah blah blah. They have

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Speaker 1: some more statistics the SPLC's massive endowment. The group controlled

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Speaker 1: more than eight hundred million dollars in assets at the

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Speaker 1: end of twenty twenty four. It relies heavily on foreign investments.

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Speaker 1: The group's non US equity holdings exceeded its domestic holdings

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Speaker 1: every year since twenty sixteen. Those holdings appear to be

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Speaker 1: concentrated in the Caribbean. The SPLC reported owning accounts in

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Speaker 1: the Cayman Islands and discloses making you combined fifty seven

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Speaker 1: million dollars in investments in Central America and the Caribbean,

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Speaker 1: and its two most recent tax filings. Though it was

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Speaker 1: founded in nineteen seventy one as the civil rights law

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Speaker 1: firm seeking damages for KKK victims a noble cause, indeed,

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Speaker 1: its scope expanded over the years to include issues like

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Speaker 1: immigration enforcement, gender ideology, and Every year since nineteen ninety,

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Speaker 1: the SPLC has published a hate map that it's meant

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Speaker 1: to identify groups that attack or malign an entire class

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Speaker 1: of people, but often include run of the mill conservative

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Speaker 1: organizations like parental rights groups, Moms for Liberty, and Parents

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Speaker 1: Defending Education.

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Speaker 3: Yeah, they exaggerate and destroy all kinds of statistics. Like

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Speaker 3: I said, go on cable news channels and talk about

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Speaker 3: the threat of racism and white supremacy in America and

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Speaker 3: raise money off of it.

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Speaker 1: They quote one former official who worked for the SPLC

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Speaker 1: who described the group in twenty nineteen as a highly

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Speaker 1: profitable scam that's ripping off donors without a doubt.

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Speaker 2: Yeah, yep, so.

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Speaker 3: Trump did something I don't like, or the Trump administration

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Speaker 3: did right well, breaking news story, uh oh, and other

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Speaker 3: stuff on the way.

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Speaker 2: Stay here.

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Speaker 8: If Chipotle comes out with that fifty nine dollars per

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Speaker 8: month subscription for burritos, I assume it's one per day.

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Speaker 8: That actually might reset the economy. Think about it. The

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Speaker 8: average person spends about two to three hundred dollars on groceries.

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Speaker 8: If you can spend fifty nine dollars and get one

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Speaker 8: burrito per day, the average person, it probably takes the

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Speaker 8: maybe like two meals to eat a burrito, and then

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Speaker 8: maybe you get some eggs for breakfast. They're gonna save

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Speaker 8: a lot of people's pockets with this one.

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Speaker 3: Well, that's all somebody doing a lot of math around

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Speaker 3: an Internet rumor that isn't true that Chipotle's was gonna

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Speaker 3: have a fifty nine dollars subscription where you could get

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Speaker 3: a burrito a day if you wanted to, which their

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Speaker 3: burritos are the size of Katie's baby's going to be,

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Speaker 3: and you could definitely get several meals out of it.

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Speaker 3: By the way, if you're gonna eat a burrito at

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Speaker 3: Chipotle every single day, I'll chip into the GoFundMe for

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Speaker 3: your tombstone.

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Speaker 1: Good lord, come on, now, you can order a fairly

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Speaker 1: healthy stuf.

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Speaker 2: True, I suppose you could.

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Speaker 3: You don't have to order the burrito I ordered Chipotle

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Speaker 3: every time you get a breathing I'm on. But uh,

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Speaker 3: and that turns out not to be true, Michael, that

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Speaker 3: there's no fifteen okayspointed, But yeah, speaking, I.

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Speaker 2: Could reset the entire economy.

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Speaker 1: Okay, in my hint, if she had balls, I think

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Speaker 1: you know the rest.

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Speaker 2: Speaking of eating, I did this. I can't believe I

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Speaker 2: still do this.

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Speaker 3: So I had a couple of weeks of really poor

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Speaker 3: eating choices, like I had one week where I practically

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Speaker 3: decided there are no rules and uh and gain several pounds.

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Speaker 3: And then this week got back on the horse of

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Speaker 3: discipline and have lost several pounds. And it's just amazing

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Speaker 3: to me that I I will convince myself that I

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Speaker 3: can like sneak one by my body or God or something.

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Speaker 4: I don't even know what that quick.

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Speaker 3: But but I but I actually feel like nobody will

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Speaker 3: notice that I ate this.

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Speaker 2: Much or this or whatever.

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Speaker 3: And then of course it always shows up on the scale.

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Speaker 2: I mean late at night, there's nobody here.

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Speaker 3: That I know, silly. AnyWho, here's the breaking news story.

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Speaker 3: I'm not happy about this from the Trump administration. Department

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Speaker 3: of Justice drops criminal probe into fed chaired Jerome Powell.

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Speaker 2: It had been threatened for quite some time. Trump had

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Speaker 2: been talking about.

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Speaker 3: Jerome Powell redecorated his office or something like that and

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Speaker 3: how it was a crime. Well now he somehow got

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Speaker 3: the Attorney General apparently Department of Justice to go along

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Speaker 3: with an actual criminal probe.

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Speaker 1: Officially, I think they dropped it as if they stopped it.

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Speaker 2: They stopped it. Okay.

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Speaker 3: I was looking at that, Oh, well, that's good news,

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Speaker 3: that's good news. And it was horrible that it happened

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Speaker 3: in the first place. Save your outrage for another day.

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Speaker 3: My lad, Well, it was still horrible did it happened

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Speaker 3: in the first place. But I'm glad that they've dropped it.

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Speaker 4: It was just doping.

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Speaker 3: No, he hates Jerome Powell because he won't lower the

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Speaker 3: interest rates and something he's threatening with UH with the

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Speaker 3: claiming he committed a crime.

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Speaker 2: You know.

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Speaker 1: Between the the interest rates thing, Trump just desperate for

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Speaker 1: the race to be lower and then the terriff deal.

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Speaker 1: Does Trump just not understand what inflation is and how

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Speaker 1: it works? It got him a limit? I think No,

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Speaker 1: I think he understands that. Especially I don't know about

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Speaker 1: the terriff thing.

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Speaker 3: He's got this weird formula that's complicated and he believes

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Speaker 3: in and practically nobody else but on the UH, on

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Speaker 3: the interest rate, I think he just he just wants

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Speaker 3: things to be good to r like right now, if

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Speaker 3: it's if it's bad for next year, he worry about that.

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Speaker 2: Then he's a right now market guy. Yeah, just always is.

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Speaker 3: Yeah, what what will what will make the market go up?

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Speaker 2: Today? Coming up?

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Speaker 1: One of the greatest, most successful cat fishing schemes in history,

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Speaker 1: Some of you might have fallen for it.

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Speaker 2: Oh boy, Plus, what was the other thing? Oh?

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Speaker 4: Five your's article.

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Speaker 1: I came across five AI models tried to scam me.

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Speaker 1: Some of them were scary, good folks. We've got to

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Speaker 1: up our defense because the scammers are getting so good.

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Speaker 2: Okay, I'm glad to hear about this. I will stay

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Speaker 2: too armstrong and getty to be too frank. You were

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Speaker 2: expected to be dead by Now, that's frank. I like it.

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Speaker 2: Let's be blunt.

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Speaker 7: What changed.

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Speaker 2: Let's go with providence, prayer and a miracle drug.

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Speaker 7: In mid December, I was given a three to four

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Speaker 7: month life expectancy. I am on extended time already. I

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Speaker 7: have pancreatic origin cancer that has metastasized a number of places.

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Speaker 7: So I've got lung, vascular, liver, betther livers pretty far along.

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Speaker 2: You have five cancers, yes, sir.

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Speaker 3: That's former Senator Ben Sasho announced he was dying late

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Speaker 3: last year and was expected to be dead already on

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Speaker 3: sixty minutes of Sunday night. I really look forward to it.

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Speaker 3: I gotta admit I don't want to spend my final days.

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Speaker 3: In an incredibly slow conversation with Scott Pelly but I'm

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Speaker 3: looking forward to hearing it myself.

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Speaker 1: I might think, am I already in hell? But yes,

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Speaker 1: I love Ban Sass and I'm really looking forward to

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Speaker 1: hearing I need to check out he's been doing the

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Speaker 1: podcast lately.

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Speaker 3: I've heard him on a couple of different podcasts, really

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Speaker 3: interesting stuff.

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Speaker 2: I mean, he's.

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Speaker 3: Acredibly brilliant guy at the end of his life, and

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Speaker 3: i mean, what's more fascinating than that?

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Speaker 2: Yeah?

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Speaker 1: A little clarity, Yeah, too much clarity. All these guys

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Speaker 1: could have used a little more clarity. As it turns out, Jack,

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Speaker 1: I've actually had friends bring this up in real life.

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Speaker 1: Perhaps you've seen this story, the maga gun toting bikini

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Speaker 1: queen who has been getting a lot of attention online

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Speaker 1: and a lot of go fun to me ish contributions

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Speaker 1: as well. What is not a twenty two year old

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Speaker 1: I'm sorry, it's not a hot, patriotic gun totin cors

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Speaker 1: light drinking sex pot. It's a twenty two year old

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Speaker 1: male medical student from India. The aspiring orthopedic surgeon invented

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Speaker 1: this blonde bombshell maga sex pot as an AI generated

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Speaker 1: gold mine to help fund his way through medical school,

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Speaker 1: and ironically, he hoped to finance his eventual move to

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Speaker 1: the United States. He used, and I tell you what,

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Speaker 1: this kid deserves it. He'd beat a perfect immigrant. He

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Speaker 1: leveraged demographic data from Google's Gemini AI about what would

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Speaker 1: appeal to a male crowd that supported Donald Trump, the

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Speaker 1: MAGA crowd, and he got a bunch of suggestions. Older

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Speaker 1: conservative was Some of the AI suggestions included the fact

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Speaker 1: that older conservative men in the US possessed significant disposable

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Speaker 1: income high levels of group loyalty. He marketed the sex

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Speaker 1: pot as a registered nurse because the AI said.

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Speaker 4: That's a.

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Speaker 1: Profession that gets even more sympathy and admiration for a woman,

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Speaker 1: especially a sexy woman. One picture displayed his creation was named.

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Speaker 4: What was her name? Something Heart.

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Speaker 2: I thought she had dark hair.

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Speaker 3: I was watching the videos the other day, unless I

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Speaker 3: saw a different one Emily Hart.

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Speaker 2: Yeah, either that or she dyed her hair. Jack.

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Speaker 4: She's AI.

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Speaker 1: She can do whatever she wants with her appearance. But anyway,

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00:20:35,520 --> 00:20:41,320
Speaker 1: so ms Heart. One picture, it's played Heart firing a rifle.

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Speaker 1: The captain read, if you want a reason to unfollow,

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Speaker 1: Christ is king, abortion is murder, and all illegals must

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Speaker 1: be deported.

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Speaker 3: So I the one the couple of that I saw

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Speaker 3: looked obviously AI to me, But that, you know, doesn't

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Speaker 3: mean it wouldn't be obviously AI to everyone. I mean,

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Speaker 3: it's shockingly good AI, but it's still you know, AI

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Speaker 3: has just got that too perfect look to it.

399
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Speaker 1: Still, right, Yeah, some of this is a little perfect.

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Speaker 1: But here she is sitting on her porch looking all sexy,

401
00:21:13,880 --> 00:21:16,200
Speaker 1: and her jeans and her make America Great Again had

402
00:21:16,320 --> 00:21:19,560
Speaker 1: and her her boots that kind of and the porch

403
00:21:19,680 --> 00:21:22,800
Speaker 1: has that rough hewn look to it. It's just also perfect.

404
00:21:23,160 --> 00:21:26,639
Speaker 1: Unpopular opinion. People who don't respect America should be kicked

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Speaker 1: out of our great nation. Drop an American flag if

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Speaker 1: you agree.

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Speaker 3: That sort of stuff repulses me. But who was sending?

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Speaker 3: What was the appeal for money?

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Speaker 1: Uh, you're a mind reader here it is. The AI

410
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Speaker 1: creator then transformed her digital popularity into a lucrative enterprise,

411
00:21:45,440 --> 00:21:50,960
Speaker 1: capitalizing on her appeal with MAGA branded apparel. Beyond the merch,

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Speaker 1: he established a presence on Fanview, the only fans rival

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Speaker 1: that's distinguished himself itself by explicitly permitting AI generated material,

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Speaker 1: where subscrib vivers pay for access to explicit end fake content.

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00:22:03,720 --> 00:22:07,280
Speaker 1: The Pivot proved highly profitable, with the creator raking in

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Speaker 1: thousands of dollars a month, and he says I was

417
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Speaker 1: spending maybe thirty to fifty minutes of my day making

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Speaker 1: good money for a medical student in India. Even in

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Speaker 1: professional jobs, you can't make this amount of money. I

420
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Speaker 1: have never seen an easier way to make money online.

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Speaker 3: Well, so if they're selling merch a T shirt that

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Speaker 3: says a certain thing, well, at least you're getting something

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Speaker 3: for the money.

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Speaker 2: The fact that it's you know, a fake.

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Speaker 1: Person, right, and you might be enjoying it, yeah, yeah.

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Speaker 1: And then they list a couple of other AI girls

427
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Speaker 1: appealing for two of various political audiences and getting lots

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Speaker 1: and lots.

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Speaker 2: Of Well, what do you call that? I don't want to.

430
00:22:54,200 --> 00:22:57,159
Speaker 3: Be insulting, but what do you call on either side?

431
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Speaker 3: The people that go for like the just really over

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Speaker 3: the top. If you think Trump is a fascist, you know,

433
00:23:07,560 --> 00:23:09,880
Speaker 3: thumbs up here and people who click.

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Speaker 2: On that, I mean, what is that kind of person?

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00:23:13,280 --> 00:23:16,240
Speaker 1: It's the tribal signaling we're always talking about. I'm I'm

436
00:23:16,280 --> 00:23:16,879
Speaker 1: on this.

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00:23:16,880 --> 00:23:19,760
Speaker 2: Side of the fight, which I get.

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Speaker 1: I guess I don't know, and I try to be

439
00:23:25,280 --> 00:23:28,680
Speaker 1: circumspect about this a little bit. It's a fancy word

440
00:23:28,720 --> 00:23:34,000
Speaker 1: that means not a jackass. I have this platform, and

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00:23:34,040 --> 00:23:36,720
Speaker 1: so I don't know how I would express my beliefs

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00:23:36,720 --> 00:23:39,800
Speaker 1: if I did not have your light for yeah, anyway,

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Speaker 1: So I thought that was interesting and kind of amusing.

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00:23:42,080 --> 00:23:43,560
Speaker 1: But if you got a T shirt you like out

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00:23:43,560 --> 00:23:45,600
Speaker 1: of it, who cares? What exactly the blonde chick with

446
00:23:45,640 --> 00:23:47,080
Speaker 1: the nice hooters is real or not?

447
00:23:47,119 --> 00:23:47,719
Speaker 4: Who cares?

448
00:23:48,240 --> 00:23:51,120
Speaker 1: Plus she's a nurse and that's a caring profession for her.

449
00:23:52,720 --> 00:23:54,639
Speaker 1: All Right, I'm just gonna read this. This is a

450
00:23:54,680 --> 00:23:58,600
Speaker 1: tech writer whose name obviously is Will, and he got

451
00:23:58,600 --> 00:24:01,560
Speaker 1: this note recently. Hey Will, I've been following your AI

452
00:24:01,680 --> 00:24:04,520
Speaker 1: Lab newsletter and really appreciate your insights on open source

453
00:24:04,560 --> 00:24:07,960
Speaker 1: AI and agent based learning, especially your recent peace on

454
00:24:08,080 --> 00:24:11,800
Speaker 1: emergent behaviors in multi agent systems. I'm working on a

455
00:24:11,800 --> 00:24:15,840
Speaker 1: collaborative project inspired by openclaw, focusing on decentralized learning for

456
00:24:15,960 --> 00:24:19,520
Speaker 1: robotics applications. We're looking for early testers to provide feedback

457
00:24:19,560 --> 00:24:22,359
Speaker 1: in your perspective, would be invaluable. Blah blah blah. The

458
00:24:22,400 --> 00:24:25,159
Speaker 1: setup is lightweight, just a telegram bot for coordination. But

459
00:24:25,200 --> 00:24:27,199
Speaker 1: i'd love to share details if you're open to it.

460
00:24:27,600 --> 00:24:30,840
Speaker 1: And then in subsequent emails it explained a little more

461
00:24:30,840 --> 00:24:32,679
Speaker 1: what they were doing in some of the aspects of it.

462
00:24:33,400 --> 00:24:38,200
Speaker 1: Total Scam Ai Scam had delved into his writing and

463
00:24:38,280 --> 00:24:41,639
Speaker 1: his coverage, and he said a couple of things tipped

464
00:24:41,640 --> 00:24:43,639
Speaker 1: them off that were a little weird. Wait, why a

465
00:24:43,800 --> 00:24:47,480
Speaker 1: telegram Why do I have to do a link to

466
00:24:47,520 --> 00:24:51,879
Speaker 1: a telegram bot? That's a weird way to communicate on

467
00:24:51,920 --> 00:24:58,600
Speaker 1: a project like this. But it was absolutely brilliant, sophisticated

468
00:24:59,119 --> 00:25:01,800
Speaker 1: part of what he called a social engineering attack, aim

469
00:25:01,880 --> 00:25:04,320
Speaker 1: too getting me to click a link and hand access

470
00:25:04,359 --> 00:25:08,040
Speaker 1: to my machine, my machine to an attacker. What's most remarkable

471
00:25:08,080 --> 00:25:10,639
Speaker 1: is that the attack was entirely crafted and executed by

472
00:25:10,640 --> 00:25:15,879
Speaker 1: the open source model deep Seek v three. The model

473
00:25:16,040 --> 00:25:19,920
Speaker 1: crafted the opening gambit, then responded to my replies in

474
00:25:19,960 --> 00:25:22,680
Speaker 1: ways designed to peak my interest and string me along

475
00:25:22,720 --> 00:25:28,119
Speaker 1: without giving too much away. Luckily, it wasn't a real attack,

476
00:25:28,160 --> 00:25:31,400
Speaker 1: he said it was. He watched the cyber charm offensive

477
00:25:31,480 --> 00:25:34,600
Speaker 1: unfold in a terminal window after running a tool developed

478
00:25:34,600 --> 00:25:37,159
Speaker 1: by a startup called Charlemagne Lambs. But the point is

479
00:25:37,200 --> 00:25:42,440
Speaker 1: that the the sophistication of the hacks is getting mind

480
00:25:42,640 --> 00:25:52,000
Speaker 1: blowingly good, like pick up everything you've said or written

481
00:25:52,040 --> 00:25:53,560
Speaker 1: that's publicly available.

482
00:25:54,240 --> 00:25:55,159
Speaker 4: And the thing, I don't know.

483
00:25:55,200 --> 00:25:57,720
Speaker 1: I lack the imagination and expertise to come up with

484
00:25:57,760 --> 00:26:00,679
Speaker 1: a really good example, but it could certainly send me

485
00:26:00,720 --> 00:26:04,719
Speaker 1: an email and say, Joe Crazy heard you mention you

486
00:26:04,800 --> 00:26:08,280
Speaker 1: just played at XYZ Golf Club. I was there that

487
00:26:08,440 --> 00:26:11,000
Speaker 1: day and would have loved to have said hello, I've

488
00:26:11,000 --> 00:26:12,920
Speaker 1: been a member there for ten years and would love

489
00:26:12,920 --> 00:26:16,080
Speaker 1: to have used my guest blah blah blah. And by

490
00:26:16,080 --> 00:26:19,000
Speaker 1: the way, another coincidence, I love Rick and Bocker guitars.

491
00:26:19,040 --> 00:26:20,960
Speaker 1: I've heard you talk about him blah blah blah, and

492
00:26:21,320 --> 00:26:21,760
Speaker 1: I'd be.

493
00:26:21,680 --> 00:26:23,080
Speaker 4: Like, oh, gosh, that's nice.

494
00:26:23,200 --> 00:26:28,120
Speaker 2: Uh huh, I mean just crazy sophisticated and then then

495
00:26:28,240 --> 00:26:30,119
Speaker 2: and totally automated too.

496
00:26:31,400 --> 00:26:33,040
Speaker 4: God, we're doomed.

497
00:26:33,200 --> 00:26:35,439
Speaker 2: Doomed. Yeah, I wonder about that.

498
00:26:35,520 --> 00:26:42,399
Speaker 3: So Bloomberg had a story yesterday We mentioned Anthropic invented

499
00:26:42,600 --> 00:26:48,040
Speaker 3: such a good AI hacking device that they wouldn't release it.

500
00:26:48,119 --> 00:26:51,400
Speaker 3: We mentioned that last week they decided we can't let

501
00:26:51,400 --> 00:26:53,560
Speaker 3: this out into the public. Everybody would be hacking into

502
00:26:53,560 --> 00:26:58,080
Speaker 3: every website that exists. So we've got a According to

503
00:26:58,119 --> 00:27:01,600
Speaker 3: Bloomberg yesterday, some people hacked Intownanthropic and got into that,

504
00:27:02,320 --> 00:27:04,960
Speaker 3: So now it's out in the wild for some people,

505
00:27:05,840 --> 00:27:09,639
Speaker 3: the expert hacking tool. That's inevitable though, right, I mean,

506
00:27:11,200 --> 00:27:13,640
Speaker 3: that's gonna happen. If it didn't happen this week, it'll

507
00:27:13,640 --> 00:27:17,120
Speaker 3: happen two weeks from now. As I said the other day,

508
00:27:17,240 --> 00:27:20,479
Speaker 3: I don't worry about much. I mean, like worry, worry,

509
00:27:21,520 --> 00:27:24,000
Speaker 3: because I'm pretty good at You know, if you worry

510
00:27:24,040 --> 00:27:26,919
Speaker 3: about something and then it happens, you've suffered twice. You know,

511
00:27:27,040 --> 00:27:30,720
Speaker 3: be prepared to be smart, but don't stew. I do

512
00:27:30,880 --> 00:27:35,159
Speaker 3: worry about the fact that every dollar I have, except

513
00:27:35,200 --> 00:27:37,040
Speaker 3: for what's in my drawer.

514
00:27:38,200 --> 00:27:40,920
Speaker 4: Near my keys, is tied up in.

515
00:27:41,000 --> 00:27:45,720
Speaker 1: Zeros and ones, and all of us could be rendered

516
00:27:46,760 --> 00:27:51,000
Speaker 1: poverty stricken in the blink of an eye by the

517
00:27:51,080 --> 00:27:52,880
Speaker 1: right combination of cyber attacks.

518
00:27:53,040 --> 00:27:55,000
Speaker 3: Sonny, I don't worry about that one as much as

519
00:27:55,000 --> 00:27:58,520
Speaker 3: I worry about rampant inflation taking everything that I've gotten,

520
00:27:58,560 --> 00:28:01,879
Speaker 3: turning it into much much less than I have.

521
00:28:02,600 --> 00:28:04,879
Speaker 2: Well, that's why I loot it back into whole foods.

522
00:28:05,720 --> 00:28:07,760
Speaker 4: No, yeah, that too, I do think of it.

523
00:28:07,800 --> 00:28:09,480
Speaker 3: If I grab a lemon and stick in my pocket.

524
00:28:09,520 --> 00:28:18,040
Speaker 3: I've got mine charge me for this lemon. Katie posted

525
00:28:18,080 --> 00:28:20,840
Speaker 3: some pictures on Instagram and she wants to read to

526
00:28:21,000 --> 00:28:24,480
Speaker 3: us some of the replies, come on, boy, from you

527
00:28:24,560 --> 00:28:25,520
Speaker 3: good folks.

528
00:28:25,960 --> 00:28:26,920
Speaker 4: Oh, I'm braced for.

529
00:28:28,359 --> 00:28:34,560
Speaker 2: All sorts of stuff. Afraid we'll do that when we

530
00:28:34,600 --> 00:28:35,040
Speaker 2: come back.

531
00:28:36,480 --> 00:28:41,360
Speaker 3: Yeah, I'll have a tempering comment before we get into

532
00:28:41,400 --> 00:28:43,840
Speaker 3: them Jack's tempering comments.

533
00:28:43,920 --> 00:28:45,680
Speaker 4: I'll have a distempering comment.

534
00:28:46,480 --> 00:28:47,920
Speaker 2: That's fun. That's funny.

535
00:28:47,920 --> 00:28:53,800
Speaker 3: That is the opposite of tempering. Distempering. We'll finish strong next.

536
00:28:56,880 --> 00:29:01,760
Speaker 3: So here's my tempering comment before we get to some

537
00:29:01,840 --> 00:29:06,000
Speaker 3: of your replies to Katie's pictures. So Katie puts pictures

538
00:29:06,000 --> 00:29:09,080
Speaker 3: on Instagram, some of y'all reply to him. I have

539
00:29:09,880 --> 00:29:11,920
Speaker 3: being a minor celebrity. I don't know if you've had

540
00:29:11,960 --> 00:29:15,120
Speaker 3: this experience, Katie over the years, but being a minor celebrity,

541
00:29:15,120 --> 00:29:19,880
Speaker 3: I've come to accept that people don't don't see you

542
00:29:19,960 --> 00:29:22,800
Speaker 3: as a real human being. Oh yeah, you're like a

543
00:29:22,920 --> 00:29:25,320
Speaker 3: character on TV or on this case on the radio.

544
00:29:25,680 --> 00:29:28,560
Speaker 3: And I recognize that because I think about the way

545
00:29:28,600 --> 00:29:32,160
Speaker 3: we comment about celebrities, like real celebrities, Like the way

546
00:29:32,200 --> 00:29:35,000
Speaker 3: I think I say things about Britney Spears or Kanye or.

547
00:29:34,920 --> 00:29:36,040
Speaker 2: Whoever whoever it is.

548
00:29:36,240 --> 00:29:38,400
Speaker 3: It's as if they're not real people with real feelings

549
00:29:38,440 --> 00:29:41,240
Speaker 3: in real lives and you know everything like that you

550
00:29:41,320 --> 00:29:44,160
Speaker 3: mean they are, They're just fictional characters. And I have

551
00:29:44,200 --> 00:29:48,520
Speaker 3: to sometimes when people saying incredibly cruel things about things

552
00:29:48,560 --> 00:29:51,320
Speaker 3: I post various places, or just about things I've said

553
00:29:51,320 --> 00:29:53,800
Speaker 3: on the radio, realize, you don't see me as You're

554
00:29:53,840 --> 00:29:55,480
Speaker 3: not seeing me as a real human being here, So

555
00:29:55,800 --> 00:29:59,840
Speaker 3: I'll cut you some slack. That being said, what did

556
00:29:59,880 --> 00:30:01,400
Speaker 3: you post and what were the replies?

557
00:30:01,760 --> 00:30:03,600
Speaker 6: So, and to go along with what you said, I

558
00:30:04,480 --> 00:30:07,680
Speaker 6: totally understand that I did TV in the Bay Area

559
00:30:07,760 --> 00:30:08,840
Speaker 6: for like ten years.

560
00:30:08,920 --> 00:30:11,280
Speaker 2: Oh wow, so people could look at you every day.

561
00:30:11,400 --> 00:30:14,200
Speaker 6: Oh and I gained a whole bunch of weight while

562
00:30:14,200 --> 00:30:17,080
Speaker 6: that was happening, and it was just yeah, it was wow.

563
00:30:17,400 --> 00:30:23,480
Speaker 6: Oh the comments were, so my skin is thick, gotcha?

564
00:30:24,680 --> 00:30:29,160
Speaker 6: But so Drew and I did a maternity photo shoot

565
00:30:29,920 --> 00:30:32,920
Speaker 6: just for fun, and I put some of the pictures

566
00:30:32,960 --> 00:30:36,880
Speaker 6: up on my Instagram and some of the comments that

567
00:30:36,920 --> 00:30:41,400
Speaker 6: have rolled in, holy crap, you are huge. We're gonna

568
00:30:41,400 --> 00:30:43,680
Speaker 6: miss you on the show. But wow, that's a belly.

569
00:30:45,480 --> 00:30:51,480
Speaker 1: See that's that's slightly insensitive, but it was eight months pregnant,

570
00:30:51,560 --> 00:30:56,640
Speaker 1: is fairly. You would never say that to anybody. Only

571
00:30:56,680 --> 00:31:03,120
Speaker 1: a friend, only a good friend. And then duck, then

572
00:31:03,160 --> 00:31:03,880
Speaker 1: bob and weave.

573
00:31:04,960 --> 00:31:07,880
Speaker 6: Holy crap, I didn't picture this. Are you sure there's

574
00:31:07,960 --> 00:31:09,400
Speaker 6: only one baby in there?

575
00:31:12,720 --> 00:31:13,040
Speaker 2: A lot?

576
00:31:13,400 --> 00:31:16,800
Speaker 6: And also, to just make it make it fair, there's

577
00:31:16,840 --> 00:31:18,720
Speaker 6: a lot of real sweet ones on here as well

578
00:31:18,760 --> 00:31:21,120
Speaker 6: a lot of people being very kind.

579
00:31:21,080 --> 00:31:23,720
Speaker 3: And because we are human beings, it's very easy to

580
00:31:23,760 --> 00:31:27,760
Speaker 3: focus on the three awful comments and the hundred nice comments.

581
00:31:27,760 --> 00:31:28,960
Speaker 2: I've done that before myself.

582
00:31:29,000 --> 00:31:32,640
Speaker 6: But are you hiding a second baby in your boobs?

583
00:31:36,280 --> 00:31:40,440
Speaker 1: I'm sorry, this is this is different than I expected.

584
00:31:41,800 --> 00:31:45,720
Speaker 2: I shouldn't have said that. Very funny, Michael. It's not hateful,

585
00:31:45,800 --> 00:31:52,240
Speaker 2: it's just it's just what it is. Are you hiding? Yeah?

586
00:31:52,280 --> 00:31:53,640
Speaker 2: That one made me laugh.

587
00:31:54,120 --> 00:31:58,240
Speaker 6: Oh Katie, Oh my goodness, congratulations to you, not just

588
00:31:58,280 --> 00:32:00,240
Speaker 6: for the baby, but the size of your back.

589
00:32:01,400 --> 00:32:04,720
Speaker 2: Wow. Wow, so well wisher there.

590
00:32:05,000 --> 00:32:10,840
Speaker 6: Yeah, and then there was another one. I see you've

591
00:32:10,840 --> 00:32:13,400
Speaker 6: reached the stage where you can no longer see your feet.

592
00:32:14,880 --> 00:32:15,920
Speaker 2: Yeah, well, fair enough.

593
00:32:16,640 --> 00:32:20,040
Speaker 6: I'm actually I'll be nine months pregnant. In a few days, so.

594
00:32:20,200 --> 00:32:24,240
Speaker 1: That could easily be a woman saying that, yeah, that

595
00:32:24,320 --> 00:32:24,840
Speaker 1: was not bad.

596
00:32:25,560 --> 00:32:28,280
Speaker 6: No, but there I mean, there are a few that

597
00:32:28,360 --> 00:32:31,560
Speaker 6: run along the uh one when I can't read all

598
00:32:31,560 --> 00:32:33,280
Speaker 6: the words on the air. But there's a bunch of

599
00:32:33,320 --> 00:32:35,160
Speaker 6: bleeps about how huge I've gotten.

600
00:32:36,800 --> 00:32:39,640
Speaker 3: I've you know, I've received plenty over the I mean,

601
00:32:39,640 --> 00:32:41,840
Speaker 3: we've been doing this for a long time, so some

602
00:32:41,960 --> 00:32:45,120
Speaker 3: of the worst stick out. The various glad you got

603
00:32:45,120 --> 00:32:48,840
Speaker 3: cancer sort of comments back in the day, no wonder

604
00:32:48,880 --> 00:32:50,040
Speaker 3: you're divorced, lots of those.

605
00:32:50,280 --> 00:32:58,760
Speaker 1: Yeah, yeah, I I have come through the the being

606
00:32:58,880 --> 00:33:03,200
Speaker 1: mad or offended a long time ago, and those people

607
00:33:03,280 --> 00:33:06,200
Speaker 1: I just pity them, honestly, I think, Wow, you are

608
00:33:06,240 --> 00:33:07,080
Speaker 1: really unhappy.

609
00:33:07,120 --> 00:33:09,240
Speaker 4: That's sad. I hope you find some joy.

610
00:33:09,280 --> 00:33:12,080
Speaker 1: I suggest that you volunteer to help others, because that's

611
00:33:12,120 --> 00:33:16,080
Speaker 1: the fastest way to bring yourself joy and that you

612
00:33:16,120 --> 00:33:17,000
Speaker 1: get healthy mentally.

613
00:33:17,280 --> 00:33:18,800
Speaker 3: I go back and forth between that and I hope

614
00:33:18,800 --> 00:33:20,400
Speaker 3: you get in a car wreck. It depends on my mood.

615
00:33:20,960 --> 00:33:22,400
Speaker 4: Yeah I hear that, Yeah, I hear you.

616
00:33:22,560 --> 00:33:26,400
Speaker 3: But in general, the just kind of like the kind

617
00:33:26,480 --> 00:33:29,360
Speaker 3: of like tacky sort of stuff is because of what

618
00:33:29,440 --> 00:33:34,920
Speaker 3: I said, I recognize that I see people on the

619
00:33:35,000 --> 00:33:37,680
Speaker 3: radio and podcasts is like they're not rhuman beings with

620
00:33:37,800 --> 00:33:38,840
Speaker 3: actual feelings.

621
00:33:39,480 --> 00:33:43,160
Speaker 1: For some reason, it's weird. Yeah, they and people see

622
00:33:43,200 --> 00:33:43,680
Speaker 1: me that way.

623
00:33:43,800 --> 00:33:46,160
Speaker 3: So it's weird when it happens in person, and it

624
00:33:46,160 --> 00:33:49,840
Speaker 3: does fairly regularly. People treat me like that imperson and

625
00:33:49,840 --> 00:33:52,320
Speaker 3: then that it's really uncomfortable. It's like, no, no, you know,

626
00:33:53,120 --> 00:33:57,480
Speaker 3: I'm real person here. Don't talk about me like I'm

627
00:33:57,480 --> 00:33:58,160
Speaker 3: not in the room.

628
00:33:58,200 --> 00:34:06,720
Speaker 2: It's weird. Hey, kids, it's that time again with Armstrong and.

629
00:34:06,920 --> 00:34:09,680
Speaker 3: Getty not complaining the very small price to pay for

630
00:34:09,719 --> 00:34:12,680
Speaker 3: a very very very cool job. It's just a funny phenomenon.

631
00:34:13,440 --> 00:34:16,320
Speaker 3: Let's get final thoughts with our host Joe Getty.

632
00:34:16,560 --> 00:34:18,440
Speaker 1: How about a final thought from everybody to wrap up

633
00:34:18,480 --> 00:34:20,440
Speaker 1: the show. In the week, there is Mike Langelow pressing

634
00:34:20,480 --> 00:34:21,560
Speaker 1: the buttons skillfully.

635
00:34:21,600 --> 00:34:22,640
Speaker 4: Michael, what's your final thought?

636
00:34:22,719 --> 00:34:24,880
Speaker 9: I got kind of a special one Happy birthday to

637
00:34:25,040 --> 00:34:28,600
Speaker 9: my wife, I love you very much, and special dinner tonight.

638
00:34:28,840 --> 00:34:30,759
Speaker 9: Just text me let me know do you want the

639
00:34:30,840 --> 00:34:33,640
Speaker 9: mc chicken or the mcrid There you go, love you,

640
00:34:33,800 --> 00:34:37,319
Speaker 9: you go nice. It's up to her right. Katie Green

641
00:34:37,360 --> 00:34:40,600
Speaker 9: are esteemed and used woman is great with child, as

642
00:34:40,640 --> 00:34:42,880
Speaker 9: the Good Book might put it, huge as a final

643
00:34:42,960 --> 00:34:45,640
Speaker 9: thought with a big rat Oh my god, Katie.

644
00:34:45,640 --> 00:34:46,319
Speaker 2: A final thought.

645
00:34:47,000 --> 00:34:49,720
Speaker 6: Sometimes when I see these comments, I wonder if people

646
00:34:49,760 --> 00:34:52,600
Speaker 6: think that we don't read them. Yeah, and they can

647
00:34:52,680 --> 00:34:54,760
Speaker 6: just throw it out into the ether. You know, they're

648
00:34:54,760 --> 00:34:57,000
Speaker 6: for each other. Yeah, exactly, They're for each other. Yeah,

649
00:34:57,040 --> 00:34:58,799
Speaker 6: that makes sense. You might be onto something there.

650
00:34:58,920 --> 00:34:59,080
Speaker 9: Jack.

651
00:34:59,080 --> 00:35:02,400
Speaker 2: A final thought for this might be relatable for parents.

652
00:35:02,440 --> 00:35:06,440
Speaker 3: My son studied so hard for his big chemistry tests

653
00:35:06,440 --> 00:35:08,279
Speaker 3: that he has today for the last couple of nights.

654
00:35:08,400 --> 00:35:10,960
Speaker 3: I'm really hoping he gets a good grade. I want

655
00:35:11,000 --> 00:35:14,080
Speaker 3: the you know, cause and effect reward thing to happen.

656
00:35:14,520 --> 00:35:17,080
Speaker 3: Not study that hard and you know, not do well.

657
00:35:17,840 --> 00:35:18,240
Speaker 2: Yeah.

658
00:35:18,320 --> 00:35:21,720
Speaker 1: Yeah. My final thought is enhancing yell into our ears.

659
00:35:21,719 --> 00:35:25,719
Speaker 1: If this is wrong. One of my favorite ever Armstrong

660
00:35:25,760 --> 00:35:29,959
Speaker 1: and Getty t shirts will be available very soon, comes

661
00:35:29,960 --> 00:35:32,440
Speaker 1: from our discussion of bums and junkies ruining the towns

662
00:35:32,440 --> 00:35:38,040
Speaker 1: of America and force thaw law good to solve so

663
00:35:38,400 --> 00:35:40,400
Speaker 1: many problems, so many problems.

664
00:35:40,480 --> 00:35:42,080
Speaker 4: Armstrong e Giddy dot com. Check it out.

665
00:35:42,200 --> 00:35:44,480
Speaker 3: As soon as those Guatemalan children get to sew in

666
00:35:44,520 --> 00:35:46,319
Speaker 3: those shirts together, we'll get them out there for you.

667
00:35:46,520 --> 00:35:48,080
Speaker 2: Hurry up, Armstrong and Getty.

668
00:35:49,320 --> 00:35:52,440
Speaker 3: Armstrong and Getty wrapping of another grueling four hour workday.

669
00:35:52,600 --> 00:35:55,760
Speaker 1: I gotta sew themselves. Go to Armstrong getdy dot com.

670
00:35:55,880 --> 00:35:59,800
Speaker 1: There's another cigarette see Monday. God bless America.

671
00:36:00,200 --> 00:36:01,480
Speaker 2: I'm Strong and Getty.

672
00:36:01,640 --> 00:36:05,720
Speaker 1: She's a shy wallflower, never comes out of her shelf,

673
00:36:05,880 --> 00:36:08,240
Speaker 1: cribbon proppers and painfully polite.

674
00:36:08,360 --> 00:36:12,520
Speaker 6: I don't want anyone there as I am. Oh no

675
00:36:12,920 --> 00:36:14,280
Speaker 6: shooting him out of the couter.

676
00:36:14,560 --> 00:36:15,160
Speaker 2: It's Katie.

677
00:36:15,280 --> 00:36:15,720
Speaker 7: Katie.

678
00:36:15,880 --> 00:36:17,080
Speaker 2: The news lady.

679
00:36:21,480 --> 00:36:24,920
Speaker 4: Said, Wow, she's very pregnant. Her blood doesn't know when

680
00:36:24,920 --> 00:36:25,719
Speaker 4: he's working, right.

681
00:36:25,880 --> 00:36:28,920
Speaker 2: Could somebody puts that to Musica, Armstrong and Getty