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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: Arm Strong and Jettie, I know he arms strong and.

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Speaker 3: Yetty, what's your message to those college students who, many

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Speaker 3: of them are worried that they won't be with their

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Speaker 3: jobs because of AI.

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Speaker 4: Well, I think there will be a lot of jobs

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Speaker 4: in the future. I think that the impact on jobs

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Speaker 4: has been less than many people in our field expected,

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Speaker 4: and it doesn't mean that it will always stay the

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Speaker 4: way in the future. I think it's very understandable to

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Speaker 4: feel anxiety about this, but it at least hasn't gone

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Speaker 4: so far like people expected. Jobs will be different, the

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Speaker 4: economy will be different. But this is like an incredible

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Speaker 4: new tool and people are incredibly creative, so they're using

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Speaker 4: it in all sorts of new ways, and I expect

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Speaker 4: that that will really continue and that we're still all

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Speaker 4: going to be, you know, working more than we wish

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Speaker 4: we were for a long time and being very productive

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Speaker 4: and container.

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Speaker 5: Ye go, everything is going to be fine for the

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Speaker 5: foreseeable future, according to Sam Altman of chat GPT, and

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Speaker 5: why wouldn't you believe him?

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Speaker 2: I feel silly that I was so worried.

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Speaker 5: I know, all that samba about having to have a

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Speaker 5: universal income because nobody's going to have a job.

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Speaker 2: What a waste of time flapping our jaws. Turns out

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Speaker 2: no need whatsoever. Things are be fine.

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Speaker 1: You heard it there, automated weapons systems wiping out humanity

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Speaker 1: at the behest of their computer overlords.

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Speaker 5: All that is, Sam Altman didn't hear all those booze

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Speaker 5: across the country every time AI was mentioned at any

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Speaker 5: graduation and think I've got a serious pr problem with

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Speaker 5: my investment at all. He just sincerely believes this is

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Speaker 5: going to be good for everyone.

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Speaker 1: Sure, hey, other people might be influenced by the trillion

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Speaker 1: of dollars I've spent already, but not me. I'm Sam Altman,

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Speaker 1: all right, scam Altman, leave elon. We mentioned yesterday that

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Speaker 1: Neil Ferguson had written a piece and titled AI is

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Speaker 1: the most Dangerous Armors Race in History. It's a rather

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Speaker 1: lengthy and I haven't read the whole thing, but I

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Speaker 1: was scanning it desperately because his premise is that we

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Speaker 1: really need wise intelligent regulation of AI so it doesn't

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Speaker 1: spin out of control. While simultaneously we're competing with Chiesi

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Speaker 1: Ping and the communist Chinese who don't have the slightest

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Speaker 1: interest in like regulation to keep it safe. And I

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Speaker 1: admit freely I did not read the whole thing. I

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Speaker 1: didn't have time, but I kept scanning it, like every topic,

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Speaker 1: sentence of every paragraph. All right, Neil, where do you

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Speaker 1: get to the what that would look like?

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Speaker 2: Part?

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Speaker 1: And I never found anything like a prescription? And that's

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Speaker 1: you know. And again I haven't read the whole thing,

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Speaker 1: So I'm not accusing Neil a be in complete or

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Speaker 1: anything like that, but I agree something needs to be done.

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Speaker 1: But what and what about the Chinese. Here's a small

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Speaker 1: clue of the sort of thing that might come down

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Speaker 1: the pike.

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Speaker 2: The Wall Street.

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Speaker 1: Journal's writing about how the top AI CEOs and that's

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Speaker 1: the head guy for Google, whose name is Demis Hasabis,

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Speaker 1: Sam Altman, and Dario Amodi all came together in calling

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Speaker 1: for Congress to protect against biological threats posed by AI,

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Speaker 1: specifically biological weapons and that sort of thing.

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Speaker 2: Oh yeah, I remember we read that.

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Speaker 5: I think it was in the New York Times piece

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Speaker 5: about various scientists that are this is their biggest concern

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Speaker 5: is how easy it would be to build some sort

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Speaker 5: of biological weapon through AIS like just a regular person.

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Speaker 1: So those three guys are among the heavy eight signatories

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Speaker 1: of a letter urging Congress to require safeguards when companies

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Speaker 1: order synthetic DNA and RNA, which is a key step

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Speaker 1: in developing certain vaccines and biotech breakthroughs. What they're saying,

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Speaker 1: I actually like this this sentence that's from the letter.

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Speaker 2: I'll read it to you.

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Speaker 1: AI systems are improving rapidly, and alongside incredible benefits to

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Speaker 1: science and medicine, there is a real possibility that the

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Speaker 1: knowledge barriers which have historically prevented bad actors from obtaining

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Speaker 1: biological weapons will meaningfully erode.

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Speaker 5: Yeah, that's a meaning good way to put what I

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Speaker 5: was just trying to say.

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Speaker 2: Yes, any numb nuts skin out to it.

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Speaker 1: The how too is going to be available to virtually everyone,

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Speaker 1: or at least a hell of a lot of people,

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Speaker 1: and so the only thing we can do is carefully

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Speaker 1: screen who gets the building blocks. So you've got to

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Speaker 1: regulate the companies that sell the building blocks. It's like,

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Speaker 1: you know, you can't you can't order fifteen pounds of

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Speaker 1: sous go to a fedrin because the Feds. No, you're

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Speaker 1: going to be making meth it. Maybe that's the best

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Speaker 1: we can do. It sounds to me super reassuring, is

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Speaker 1: that first thought. It's the only way we've got to

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Speaker 1: go about this.

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Speaker 5: If there are six key components to making a biological weapon,

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Speaker 5: you've got to make sure the Amazons of the world

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Speaker 5: and everybody else you know, doesn't sell.

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Speaker 2: Them to people.

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Speaker 1: That will restrict the number of novel biological weapons that

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Speaker 1: will be unleashed. But it won't stop it. It can't.

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Speaker 2: Yeah, and that only helps in the United States.

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Speaker 1: I mean, my example may not have been perfect, but

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Speaker 1: I mean there are various substances that are just absolutely

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Speaker 1: known virtually the only legitimate I'm not legitimate. The only

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Speaker 1: use for this is to manufacture drugs or weapons, and

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Speaker 1: everybody knows that. But you still get it on the

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Speaker 1: black market. If you have enough money, you can get anything.

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Speaker 2: Yeah.

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Speaker 5: I remember how troubling that story was. We had just

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Speaker 5: a couple of weeks ago. There weren't that many components,

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Speaker 5: and it wasn't that difficult to make some pretty awful

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Speaker 5: biological weapons. Uh wow. So imagine that in the hands

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Speaker 5: of Ted Kaczinski. The unibomber when he was running around.

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Speaker 5: If instead of his best he could do at the

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Speaker 5: time homemade bombs he was mailing around, he could have

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Speaker 5: made some sort of biological weapon like that or al

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Speaker 5: Kaido or whoever. All right, right, and there have been

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Speaker 5: some like the famous terrible rice In attack or was

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Speaker 5: it attacks on Japanese subways that killed many many people

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Speaker 5: and anthrax and the rest of it.

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Speaker 2: I just.

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Speaker 1: It's so worrisome. I remember being so troubled as a teenager.

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Speaker 1: I guess it was when I first became aware that

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Speaker 1: the Anarchists Cookbook was available in various libraries that taught

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Speaker 1: you how to make bombs and weapons and that sort

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Speaker 1: of thing. Turns out there's just not that many people

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Speaker 1: who want to make bombs and weapons, thank god. But

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Speaker 1: is the Ballustin marathon bombing showed us there are enough

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Speaker 1: to be fairly horrifying. But those are not weapons of

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Speaker 1: mass destruction primarily, Yeah, I don't, I just you know,

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Speaker 1: I'm with Neil Ferguson. We need a set of rules

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Speaker 1: and referees. But what rules and who's the referee? Weapon

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Speaker 1: of mass destruction? But it doesn't have to kill masses.

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Speaker 1: But you wouldn't have to kill very many people with

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Speaker 1: some sort of biological weapon in a New York City

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Speaker 1: subway or a big building in LA or whatever to

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Speaker 1: really cause a panic. Yeah, I mean, like a huge

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Speaker 1: it'd be the only thing we're talking about in the

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Speaker 1: whole country for days, maybe weeks. Yeah, if all of

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Speaker 1: a sudden, eight people died in an elevator and a

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Speaker 1: big building in LA because of something somebody was able

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Speaker 1: to make online and wondering who it was, where it

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Speaker 1: came from, and where to they hit next. Yeah, And

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Speaker 1: there's just so many different sorts of bad actors who

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Speaker 1: would benefit from that sort of thing, whether it's you know,

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Speaker 1: Islamists or anarchists or even somebody who just wants to

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Speaker 1: short the stock market, right, I mean, yeah, maybe I'm

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Speaker 1: bent to evil, but I can think of all sorts

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Speaker 1: of horrible motivations for that sort of thing.

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Speaker 2: Yeah, there's so many angles to this whole AI thing.

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Speaker 5: So you've got the job thing that Sam Altman as

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Speaker 5: a liar is claiming isn't gonna be a problem, but

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Speaker 5: it's clearly going to be a problem. And he got

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Speaker 5: all the other stuff all tied into the whole AI thing,

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Speaker 5: and just the doomers. I'm so a doomer around AI

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Speaker 5: because they all don't have to come bad. Just one

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Speaker 5: of them has to turn out to be a real

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Speaker 5: problem for it to be well a real problem.

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Speaker 2: Guys. Just looking up at the TV.

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Speaker 5: There is some pretty decent rioting in New York last

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Speaker 5: night over game one of the New York Spurs Finals

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Speaker 5: Game one.

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Speaker 2: I'd like to know more about that. What if they

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Speaker 2: win the series? Well?

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Speaker 1: Is that sports fans or is it various activists using

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Speaker 1: the anonymity of crowds.

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Speaker 2: Do their evil doing? Looks like a combo. They're all

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Speaker 2: wearing knicked jerseys. Well that's a sign.

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Speaker 1: So let me tell you about this real briefly, although

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Speaker 1: as always we're practically running out of time. The Free

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Speaker 1: Press is, among other things, employed a bunch of different writers.

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Speaker 1: As we moved toward our two hundred and fiftieth birthday

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Speaker 1: as a country, great writers writing about some of their

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Speaker 1: favorite Americans through American history, and it's just terrific. I

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Speaker 1: came across this one that I thought was great. Both

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Speaker 1: of us, Jack and I have always wanted to invent something,

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Speaker 1: and I haven't come up with anything worse than ham.

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Speaker 1: I remember my greatest effort was as like a kid

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Speaker 1: designed a car that ran not on gasoline. This is

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Speaker 1: in the seventies, so it was the era of the

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Speaker 1: Great Gasoline Crisis, the oil embargo, but on compressed air.

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Speaker 1: The car would compress air and then blow it out

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Speaker 1: the back like a jet engine and propel itself down

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Speaker 1: the road. And I thought, I've really I've done it

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Speaker 1: here as a ten year old whatever. Then one of

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Speaker 1: my mom's friends said, what energy are you going to

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Speaker 1: use to compress the air.

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Speaker 2: I'm like, oh, damn it, that's right. Damn it. So

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Speaker 2: ended my career as an inventor.

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Speaker 1: Anyway, it was early in the eighteen hundreds when elisha Otis,

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Speaker 1: who was a farm boy in Vermont, he realized he

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Speaker 1: really didn't have much interest in raising crops, but the

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Speaker 1: machinery of agriculture fascinated him, and at age nineteen, he

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Speaker 1: took his mechanical instincts off to Troy, New York, which

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Speaker 1: was at the time an important note in American manufacturing

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Speaker 1: the Industrial Revolution and everything, set up factories for manufacturers,

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Speaker 1: and just brought inventors in. Invented stuff himself and his

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Speaker 1: main breakthrough, And if you have a keen ear, you

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Speaker 1: might have noticed mister Otis's last name was.

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Speaker 2: He was looking across the Hudson.

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Speaker 1: River at New York and was aware of the fact

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Speaker 1: that the thing holding back building skyscrapers higher, you know,

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Speaker 1: many storied buildings, was how dangerous elevators were because they

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Speaker 1: all worked on ropes and pulleys, and if the rope

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Speaker 1: or pulley broke or whatever, the elevator would plunge to the.

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Speaker 5: Bottom and kill everybody on I'm following you there, which

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Speaker 5: is a hell of a deal, and I think most

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Speaker 5: of us have it at least once in our lives

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Speaker 5: getting on an elevator.

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Speaker 1: Thought about that, but anyway, he came up with this

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Speaker 1: ingenious way to make sure it didn't happen, a safety

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Speaker 1: hoist that depended on notched guide rails along the shaft

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Speaker 1: and a flat spring attached to the roof of the car.

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Speaker 1: The spring ends were pulled in by the tension of

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Speaker 1: the hoisting rope. If the rope broke, the ends would

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Speaker 1: shoot outward, catching the rail notches, and the car's descent

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Speaker 1: would be halted. And everybody's like, yeah, that sounds that

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Speaker 1: sounds great, a nice inventionere but and that's so sure.

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Speaker 1: So at the New York World's Fair in eighteen fifty four,

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Speaker 1: he hoisted himself up way at the top of a

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Speaker 1: structure he'd built, wow, in an open framework so everybody

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Speaker 1: could watch pipes. Then he had the hoisting rope dramatically

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Speaker 1: severed by a saber, and the car lurched down and

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Speaker 1: was stopped as the crowd gasped, And almost immediately everybody

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Speaker 1: knew we can build tall buildings.

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Speaker 2: That is quite a stunt.

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Speaker 1: Oh, and he's you know, the fact that he was

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Speaker 1: a farm boy. It reminds me of the right brother's

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Speaker 1: bicycle repairman. That's what America is. That's exciting, it's great.

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Speaker 1: Don't tell your college professors that that's not true.

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Speaker 2: Don't let anybody tell you.

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Speaker 5: That I saw bugs, Bunny. If your elevator screaming to

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Speaker 5: the ground. You just step off right before it hits

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Speaker 5: the ground, right likewise likewise your airplane. Yeah, just step

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Speaker 5: right out everything. It's June. We got a whole bunch

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Speaker 5: of Supreme Court decisions that are supposed to come out soon.

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Speaker 5: Maybe we'll hit you with that and a lot of

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Speaker 5: other stuff we got for you to stick around.

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Speaker 6: The CEO of a tech company is under arrest in

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Speaker 6: Orange County, California, accused of selling US computer technology to

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Speaker 6: the Iranian government. Jomshead Gomi, a dual US Iranian citizen,

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Speaker 6: facing federal charges of violating US sanctions. His company, based

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Speaker 6: in TEHRANI, allegedly helped Iran acquire networking security and encryption

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Speaker 6: equipment for more than a decade.

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Speaker 2: Yeah, I think this story has legs. This.

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Speaker 5: I think this story is going to blow up to

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Speaker 5: be some of our best encryption stuff. A lot of

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Speaker 5: different things that he gave to Iran that we don't

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Speaker 5: want Iran to have a What was he doing here?

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Speaker 5: How did he get here? Who was funding his life

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Speaker 5: and all that sort of stuff. He lived in a

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Speaker 5: thirty five million dollar Newport Beach mansion that's expensive even

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Speaker 5: by fancy pants house standards.

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Speaker 1: I have some pants that are very fancy, and that's

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Speaker 1: an expensive house. He's just a he was a black

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Speaker 1: markets here, he's in you know, he can do an

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Speaker 1: arms dealer, but not arms.

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Speaker 2: How did he pull this off for so many years

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Speaker 2: without getting caught?

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Speaker 1: But what are you suggesting? You say it's going to

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Speaker 1: blow up and be a bigger story. I'm not sure

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Speaker 1: what you mean.

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Speaker 5: I just think we're going to find out that the

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Speaker 5: Iranian government was more involved in in this guy's dealings

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Speaker 5: than you know, not just just one, just not this

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Speaker 5: dude going to be a full on, you know, enemy

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Speaker 5: of the United States.

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Speaker 1: Yeah, well he was akin to a spy and an

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Speaker 1: industrial thief.

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Speaker 5: Yeah. Conspiracy to violate the International Emergency Economic Powers Act.

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Speaker 2: Okay, if that's what you have to get in with.

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Speaker 5: Yeah, over ten years, he secretly shipped two hundred and

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Speaker 5: fifty tons of US networking encryption equipment to Iran, including

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Speaker 5: the entities tied to its nuclear military sectors. Two hundred

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Speaker 5: and fifty tons wow of equipment. Yeah, he shipped right

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Speaker 5: away with him the flaws, Yeah exactly? Or was he

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Speaker 5: the only guy involved? It seems like that would be

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Speaker 5: impossible money laundering generated ten plus million dollars a year,

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Speaker 5: but reported twenty thousand dollars income to the IRS. You

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Speaker 5: live in a thirty five million dollar home and you

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Speaker 5: claim you're making twenty thousand dollars a year.

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Speaker 2: Okay, Hey, I'm a saver. He is claiming low listed

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Speaker 2: Well he was. I'm frugal.

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Speaker 5: He claimed low income tax credits for seven years while

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Speaker 5: I'm living at a thirty five million dollar home and

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Speaker 5: shipping gazillions of tons of secret equipment to Iran.

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Speaker 1: We were talking about a similar jackass earlier in the week.

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Speaker 1: But I truly don't get So. You're running a many, many,

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Speaker 1: many millions of dollars elicit to an arms deal essentially

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Speaker 1: arms trading deal or computer trading deal, and you cheat

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Speaker 1: on your taxes.

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Speaker 2: Right, Yeah, that's a good point. Yeah.

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Speaker 5: I think the government Iran would have said, hey, how

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Speaker 5: about you go ahead and pay your taxes, pay your

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Speaker 5: fair share. Wait in your case, would you see you

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Speaker 5: don't get caught. His home was funded by illegal sales.

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Speaker 5: He bought the lot for about four and a half

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Speaker 5: million dollars back in twenty ten, spent ten million dollars

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Speaker 5: building the home, seven million dollars in foreign wire transfers

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Speaker 5: back and forth to Iran.

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Speaker 2: How do we not catch on to this guy?

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Speaker 1: And I go to the bank to get seven grand

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Speaker 1: in cash to buy a used pickup truck, and they

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Speaker 1: grill me like I'm al Capone.

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Speaker 5: Exactly exactly. I think there'll be more shoes to drop

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Speaker 5: on this story. I was hot in Congress yesterday. We

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Speaker 5: got some of the back and forth in the various hearings.

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Speaker 2: Staker, Arstrom and Getty Rubio.

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Speaker 5: Faced hated pressure from House Democrats in a hearing that

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Speaker 5: at times veered off topic.

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Speaker 3: You couldn't admit that the shoes the President bought you

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Speaker 3: were too big.

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Speaker 2: We're talking about shoes? Are you guys kidding me? I mean,

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Speaker 2: is this the Foreign Affairs Committee? Or is this like

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Speaker 2: a circus? What is this?

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Speaker 5: I don't know anything about the hearing yesterday. I read

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Speaker 5: a little bit about it in some of the quotes.

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Speaker 5: But yeah, finally somebody has said that we're having a

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Speaker 5: hearing about a really important topic.

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Speaker 2: How about we.

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Speaker 5: Talk about that as opposed to use it as an

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Speaker 5: opportunity to talk on whatever a hot talk radio or

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Speaker 5: cable news item has come up over the last couple

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Speaker 5: of weeks.

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Speaker 2: TikTok. Yeah, exactly. Yeah.

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Speaker 1: The working title of the show this morning was close

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Speaker 1: up Congress or just take a big sharpie and crossout

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Speaker 1: Article one of the Constitution because it no longer works anymore.

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Speaker 1: Yesterday was a landmark day in Congress, embarrassing itself well and.

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Speaker 5: So if you didn't see that thing for a couple

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Speaker 5: of weeks ago, and I never nailed down was it

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Speaker 5: real or not? But anyway, Trump gave out a bunch

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Speaker 5: of shoes to people for whatever reason, Oh, these are the.

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Speaker 2: Best dress shoes, and gave people's shoes.

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Speaker 5: And the claim on the internet anyway was that he

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Speaker 5: gave a pair that was way too big but for

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Speaker 5: Marco Rubia. But Marco Ruby wore them anyway, rather than

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Speaker 5: tell his boss that the shoes don't fit. I have

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Speaker 5: no idea if that was ai are real either way,

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Speaker 5: it doesn't make a difference to me. I mean, that's

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Speaker 5: an interesting story on its own, kind of but not

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Speaker 5: as big a deal as war with Iran and Marco

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Speaker 5: saying this.

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Speaker 2: Is the Foreign Relations Committee.

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Speaker 5: I mean, this is supposed to be among the most

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Speaker 5: hardest to get on committees and most serious committees we

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Speaker 5: have in all of the federal government.

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Speaker 2: Right, this is not the sort of.

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Speaker 5: Committee where you bring up stuff that's off a hot

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Speaker 5: reel on YouTube and weeks ago.

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Speaker 1: Yeah, exactly, Oh my god, it's inexcuseable. That's a representative

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Speaker 1: kam Legger Dove continuing to grill Marco.

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Speaker 7: Here, the onus is on you to prove that there

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Speaker 7: is no corruption happening. That is responsibility as the Secretary

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Speaker 7: of State. And you know what, normally we would have

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Speaker 7: access to that data.

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Speaker 2: That's the transparency.

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Speaker 7: You're not showing us any receipting. Well, then show us,

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Speaker 7: show I have the documentation. You don't have this time yet.

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Speaker 2: What kind of thing is this? What is this?

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Speaker 6: You know, you get asked questions for five minutes and

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Speaker 6: you don't get time to answer.

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Speaker 2: It's not a hearing think you said, what is this

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Speaker 2: a dunk tank?

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Speaker 5: It helps that he was a US senator, so he

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Speaker 5: knows how all that sort of stuff works, because if

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Speaker 5: you came in from some other area of life, you

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Speaker 5: wouldn't know.

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Speaker 2: I don't know the rules of reclaiming time and all

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Speaker 2: that sort of stuff. But he does.

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Speaker 1: Back to our TikTok Instagram government, this is Senator Thom

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Speaker 1: Tillis of North Carolina chatting with Scott Bessant.

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Speaker 5: Did you actually tell Paulty you were going to punch

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Speaker 5: him in the face.

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Speaker 8: No, sir, I actually said it was going to kick

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Speaker 8: his ass.

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Speaker 9: Good, okay, good, I share the emotion.

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Speaker 2: Thank you.

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Speaker 8: And as I said, that was last summer, summer twenty five,

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Speaker 8: and the many teams have fights in the locker room

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Speaker 8: and then go out and win for the team on

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Speaker 8: the table.

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Speaker 2: That's a good line. Yeah, that's an excellent line.

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Speaker 1: Scott Bessant continues, this happened to be a Senate hearing

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Speaker 1: talking to lisping communist Senator Ron Wyden of Oregon, Oregon.

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Speaker 2: Is that right? Yeah? This is something else.

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Speaker 8: Senator Wyden has mendaciously slandered the Treasury Building in an

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Speaker 8: attempt to cover up his son having an investment meeting

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Speaker 8: with Jeffrey Epstein to ask for funding.

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Speaker 2: Thank you, Chairman.

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Speaker 10: Yes, let's be clear here, nobody is interested in the

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Speaker 10: ramblings of a capo in the most corrupt regime in

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Speaker 10: American history. We want to get some facts about this deal.

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Speaker 10: That's what we're here for.

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Speaker 8: Thank you, well, thank you, and I will ask my

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Speaker 8: questions first today, and we would like to hear what

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Speaker 8: Adam Widen and Jeffrey Epstein talked about. Your son's largest

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Speaker 8: investment position was Rix Cabaret. So did your son and

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Speaker 8: Jeffery Epstein talk about pole dancing as he begged him

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Speaker 8: for money using your limited credibility?

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Speaker 2: Should I just perceive? I'm going to perceive with my questions.

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Speaker 1: Meanwhile, same day, same government. Go with Bill Malugin's report

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Speaker 1: in sixty five.

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Speaker 11: Here DHS Secretary Mark Wayne Mullen under oath before the

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Speaker 11: Household Land Security Committee today where things quickly went off

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Speaker 11: the rails.

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Speaker 2: Are you calling me a racist?

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Speaker 12: Hey, I'm asking a question, reclaiming my time asking him

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Speaker 12: to shut up as a pretty it's my time.

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Speaker 2: To call me a racist.

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Speaker 11: Chairman Secretary Mullen getting into several heated exchanges with committee democrats.

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Speaker 2: That is not true.

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Speaker 8: Don't accuse me of something that is not without you

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Speaker 8: all you want, but don't accuse me.

443
00:23:28,320 --> 00:23:34,600
Speaker 2: Of That's plenty of that. Michael the first to lunatic.

444
00:23:34,640 --> 00:23:38,880
Speaker 1: There was soon to be former Congressman Al Green, who

445
00:23:38,920 --> 00:23:41,919
Speaker 1: is finally mercifully leaving the Capitol.

446
00:23:42,680 --> 00:23:45,200
Speaker 2: But good, shut up, shut.

447
00:23:44,960 --> 00:23:48,600
Speaker 1: Up, He's saying to the Secretary of Homeland Security, is

448
00:23:48,720 --> 00:23:53,080
Speaker 1: best at the highly ranked in gay person in Trump's cabinet.

449
00:23:53,720 --> 00:23:56,159
Speaker 5: Yes, correct, So I was trying to find it came

450
00:23:56,200 --> 00:23:58,000
Speaker 5: across something the other day I thought was really good

451
00:23:58,000 --> 00:24:02,240
Speaker 5: of how it's Pride Month and there are no biopics

452
00:24:02,560 --> 00:24:05,760
Speaker 5: or specials or awards being given, or they aren't. He

453
00:24:05,840 --> 00:24:09,359
Speaker 5: isn't not being welcomed on the view or all the

454
00:24:09,520 --> 00:24:16,120
Speaker 5: leading parades anywhere as the first gay, openly gay secretary

455
00:24:16,200 --> 00:24:18,320
Speaker 5: of the Treasury, which is a pretty big position.

456
00:24:18,760 --> 00:24:22,480
Speaker 1: And nothing because you don't highest ranking openly gay fella

457
00:24:22,520 --> 00:24:24,760
Speaker 1: in American political history.

458
00:24:24,960 --> 00:24:27,360
Speaker 2: In our nation's history and nothing.

459
00:24:28,200 --> 00:24:33,240
Speaker 1: No, that's because it's a hardcore leftist Pride month, not gay.

460
00:24:33,680 --> 00:24:36,440
Speaker 1: And actually, on that topic, there's some really interesting poll

461
00:24:36,520 --> 00:24:42,280
Speaker 1: numbers about the eroding support for gay rights, marriage, et

462
00:24:42,359 --> 00:24:46,119
Speaker 1: cetera in general, because and I'm going to skip to

463
00:24:46,119 --> 00:24:48,680
Speaker 1: my analysis, and it's pretty clear that it's because the

464
00:24:48,840 --> 00:24:53,679
Speaker 1: l t q BC R three, you know, all the

465
00:24:53,720 --> 00:24:58,080
Speaker 1: attempt to tie every sexual weirdness to gay people. People

466
00:24:58,160 --> 00:25:00,600
Speaker 1: are like, no, if you ask me to endor or

467
00:25:00,640 --> 00:25:03,760
Speaker 1: reject the whole thing, I'm rejecting the whole thing, which

468
00:25:03,800 --> 00:25:07,679
Speaker 1: is uncool. I mean, right, but your average gay person

469
00:25:07,720 --> 00:25:12,840
Speaker 1: doesn't deserve that, right, but you know it's a pretty floppy,

470
00:25:12,920 --> 00:25:14,040
Speaker 1: easy way to go about it.

471
00:25:14,400 --> 00:25:16,240
Speaker 2: Just that whole thing whatever.

472
00:25:16,560 --> 00:25:21,600
Speaker 1: Right, right? Yeah. Meanwhile, so who's this representative Miller? I'm

473
00:25:21,600 --> 00:25:26,040
Speaker 1: not sure. I know he got into it again, same day,

474
00:25:26,640 --> 00:25:30,960
Speaker 1: same government on the House floor with Rashidah to Leeb

475
00:25:31,240 --> 00:25:31,960
Speaker 1: seventy one.

476
00:25:36,400 --> 00:25:37,399
Speaker 2: So let us be clear.

477
00:25:38,080 --> 00:25:41,359
Speaker 10: Has Belah is a terrorist organization from the gentleman lady

478
00:25:41,359 --> 00:25:44,280
Speaker 10: from Michigan, and its members are butchers.

479
00:25:44,080 --> 00:25:47,960
Speaker 2: That you like to hang out with. To a certain extent, no.

480
00:25:48,080 --> 00:25:50,800
Speaker 12: Nation can be fully sovereign when an armed group.

481
00:25:50,600 --> 00:25:53,720
Speaker 4: Operates outside the authority of if it's elected.

482
00:25:56,119 --> 00:25:58,720
Speaker 2: Oh, I'm sorry, are we getting a lot of emotional.

483
00:25:58,320 --> 00:25:59,520
Speaker 12: Gentlemen will suspend?

484
00:26:00,080 --> 00:26:03,560
Speaker 2: Oh, gentleman will spend. But I couldn't sue you out there.

485
00:26:04,000 --> 00:26:07,240
Speaker 2: She's yelling at him off, Mike, Do we know what?

486
00:26:08,760 --> 00:26:11,000
Speaker 11: I certainly believe you advocate for them.

487
00:26:11,080 --> 00:26:12,880
Speaker 13: Yes, you advocate for terrorists on.

488
00:26:12,840 --> 00:26:15,720
Speaker 2: A daily basis. The house will be in order, okay,

489
00:26:15,800 --> 00:26:16,040
Speaker 2: for a.

490
00:26:16,119 --> 00:26:19,720
Speaker 12: Terrorist regime every single day from the Jenny lady from Michigan.

491
00:26:19,800 --> 00:26:23,359
Speaker 12: The House will be in order. The House will be

492
00:26:23,400 --> 00:26:23,800
Speaker 12: in order.

493
00:26:23,920 --> 00:26:26,040
Speaker 2: Do associate yourself with him.

494
00:26:26,359 --> 00:26:34,359
Speaker 12: Colleagues, colleagues, this is a serious topic. We will debate

495
00:26:34,400 --> 00:26:39,760
Speaker 12: it respectfully and deliberately. Is the gentlewoman from Michigan making

496
00:26:39,800 --> 00:26:40,680
Speaker 12: a motion to take down?

497
00:26:43,320 --> 00:26:45,360
Speaker 2: That is a direct attack on my character.

498
00:26:48,600 --> 00:26:50,480
Speaker 12: The words down, gentlemen from Ohio will be.

499
00:26:52,880 --> 00:26:56,879
Speaker 1: It's an accurate assessment, though be careful, Congressman Miller, she

500
00:26:56,960 --> 00:26:57,479
Speaker 1: will uh.

501
00:26:58,119 --> 00:27:00,160
Speaker 2: I probably shouldn't say that. You probably.

502
00:27:01,960 --> 00:27:06,959
Speaker 1: She believes in political violence. She backs many groups that

503
00:27:07,119 --> 00:27:09,560
Speaker 1: believe in political violence. So I'd watch your back, sir.

504
00:27:11,000 --> 00:27:18,159
Speaker 1: That's all one day of madness, insanity, name calling, shit

505
00:27:18,359 --> 00:27:22,600
Speaker 1: with a cane, no canings. I remember this discussion, Jack,

506
00:27:22,640 --> 00:27:27,160
Speaker 1: in which you Manfly Manfly admitted that you were wrong

507
00:27:27,320 --> 00:27:30,240
Speaker 1: back in the day, saying I'm wrong like once a

508
00:27:30,320 --> 00:27:31,159
Speaker 1: day at least.

509
00:27:31,760 --> 00:27:32,960
Speaker 2: But this was one of your.

510
00:27:32,840 --> 00:27:36,560
Speaker 1: More manful admissions of wrongness, when back in the day

511
00:27:36,600 --> 00:27:39,359
Speaker 1: you used to say, why do they tap dance around

512
00:27:39,359 --> 00:27:40,840
Speaker 1: calling each other a liar?

513
00:27:41,560 --> 00:27:45,320
Speaker 13: With all this, my gentle colleague from the great state

514
00:27:45,359 --> 00:27:49,560
Speaker 13: of isleward accord is his eighs and elephants ire has

515
00:27:49,720 --> 00:27:51,840
Speaker 13: misstated a fact.

516
00:27:52,280 --> 00:27:54,560
Speaker 2: No, just just get to us say he's lying. But

517
00:27:54,760 --> 00:27:55,520
Speaker 2: it's funny.

518
00:27:56,320 --> 00:28:01,080
Speaker 5: Once you open up name calling, it's a good lesson

519
00:28:01,160 --> 00:28:05,919
Speaker 5: for life, maybe marriages or businesses or whatever. Once you

520
00:28:05,960 --> 00:28:09,960
Speaker 5: get away from I'm not sure your facts meet up

521
00:28:10,040 --> 00:28:13,119
Speaker 5: with the current data or your statement meets up with

522
00:28:13,160 --> 00:28:17,439
Speaker 5: our current data as opposed to you liar. Once you

523
00:28:17,480 --> 00:28:20,159
Speaker 5: start into you liar, it just did. It's just that

524
00:28:20,240 --> 00:28:22,560
Speaker 5: it's two people saying you liar. You know you're a liar,

525
00:28:22,920 --> 00:28:24,200
Speaker 5: and that's where you are.

526
00:28:25,359 --> 00:28:26,080
Speaker 2: Yeah, it's funny.

527
00:28:26,119 --> 00:28:27,959
Speaker 1: There are a number of examples of that sort of

528
00:28:28,000 --> 00:28:32,120
Speaker 1: thing in society. It's like if you demanded a coat

529
00:28:32,160 --> 00:28:34,280
Speaker 1: and tie at the lawful house, I think you'd have

530
00:28:34,359 --> 00:28:39,640
Speaker 1: fewer fistfights. It's just it's the idea of decorum. Are

531
00:28:39,680 --> 00:28:41,760
Speaker 1: we going to have decorum or are we not? You'd

532
00:28:41,760 --> 00:28:44,640
Speaker 1: have fewer customers. Also, I'd hate to get to egg

533
00:28:44,680 --> 00:28:47,880
Speaker 1: yolk on my tie to more of this sort of

534
00:28:48,040 --> 00:28:49,320
Speaker 1: fabulous analysis.

535
00:28:49,560 --> 00:28:50,600
Speaker 2: After a word from our.

536
00:28:50,520 --> 00:28:54,120
Speaker 1: Friends had in cognate did you know every spam call,

537
00:28:54,160 --> 00:28:56,880
Speaker 1: every scam text, every sketchy email with your name starts

538
00:28:56,920 --> 00:28:58,920
Speaker 1: the same way somebody found you had a data broker's

539
00:28:58,920 --> 00:29:01,000
Speaker 1: site right now. But it's a beautiful thing about in

540
00:29:01,080 --> 00:29:04,520
Speaker 1: cognatey is they reach out to them over and over

541
00:29:04,560 --> 00:29:07,000
Speaker 1: and over again and demand your data be taken down.

542
00:29:07,040 --> 00:29:09,040
Speaker 2: Would you like to sign up for our rewards program?

543
00:29:09,120 --> 00:29:11,480
Speaker 5: You get ten percent off of this purchase blah blah blah,

544
00:29:11,600 --> 00:29:14,160
Speaker 5: and then they sell your information of people, and then

545
00:29:14,200 --> 00:29:16,280
Speaker 5: they sell it and it's all over the place, yestard,

546
00:29:16,440 --> 00:29:20,120
Speaker 5: and then you can get all these scam emails, texts, calls,

547
00:29:20,160 --> 00:29:23,240
Speaker 5: all this different sort of stuff, and you've probably tried

548
00:29:23,240 --> 00:29:25,000
Speaker 5: to stop it on your own. It don't work. It

549
00:29:25,040 --> 00:29:29,000
Speaker 5: does work within Cogni because you can disappear. They contact

550
00:29:29,120 --> 00:29:33,440
Speaker 5: hundreds of data brokers legally force them to remove your information,

551
00:29:34,200 --> 00:29:36,200
Speaker 5: and you're gonna notice a drop right away in the

552
00:29:36,320 --> 00:29:37,720
Speaker 5: spam calls, emails, and texts.

553
00:29:38,080 --> 00:29:39,600
Speaker 2: They can't spam you if they can't find you.

554
00:29:39,640 --> 00:29:41,480
Speaker 1: And right now you can get sixty percent off with

555
00:29:41,520 --> 00:29:44,240
Speaker 1: an exclusive deal at in cognity dot com. Slash armstrong

556
00:29:44,640 --> 00:29:47,640
Speaker 1: in Cogniti dot com slash armstrong. This I n cog

557
00:29:48,040 --> 00:29:50,920
Speaker 1: Ni dot com slash armstrong. Take back your Privacy in

558
00:29:51,000 --> 00:29:52,560
Speaker 1: Cogniti dot com slash armstrong.

559
00:29:53,560 --> 00:29:58,640
Speaker 5: I just saw a trivia effect the last time the

560
00:29:58,760 --> 00:30:04,200
Speaker 5: New York Nicks were leading in the NBA Finals June

561
00:30:04,320 --> 00:30:07,560
Speaker 5: nineteen ninety four, same day as the High Speed Bronco

562
00:30:07,680 --> 00:30:09,800
Speaker 5: chase or the low speed Bronco chase with OJ.

563
00:30:10,320 --> 00:30:10,720
Speaker 2: That's funny.

564
00:30:10,760 --> 00:30:13,040
Speaker 5: I remember was at my girlfriend's house watching the next game,

565
00:30:13,280 --> 00:30:15,360
Speaker 5: or watching the NBA Finals at the time, and then

566
00:30:15,360 --> 00:30:17,720
Speaker 5: it broke in with the OJ Bronco chase. But that's

567
00:30:17,760 --> 00:30:19,840
Speaker 5: the last time the Knicks. That's how long it's been

568
00:30:20,240 --> 00:30:28,960
Speaker 5: since they were leading in the OJJ himself shocked. Yeah, wha,

569
00:30:29,440 --> 00:30:30,000
Speaker 5: there you go.

570
00:30:30,560 --> 00:30:32,960
Speaker 2: When was the last time you felt such.

571
00:30:35,040 --> 00:30:40,840
Speaker 1: Anticipations, such on the edge of your seat tension?

572
00:30:40,960 --> 00:30:42,320
Speaker 2: Is the slow speed chase?

573
00:30:42,400 --> 00:30:44,040
Speaker 5: I don't want anybody to get their head cut off,

574
00:30:44,040 --> 00:30:46,440
Speaker 5: but we need a bonding moment like that in the

575
00:30:46,520 --> 00:30:49,400
Speaker 5: United States, something that we all rally around. It's not politics,

576
00:30:49,720 --> 00:30:52,480
Speaker 5: some soap opera story that we all get involved in.

577
00:30:52,520 --> 00:30:53,720
Speaker 2: You don't think that could happen again.

578
00:30:54,040 --> 00:30:58,600
Speaker 1: If shoes and cars and coffee are now right coded

579
00:30:58,760 --> 00:31:03,440
Speaker 1: or left coded, the Bronco chase would be you think, yeah,

580
00:31:03,560 --> 00:31:06,960
Speaker 1: you think it would use me the patriarchy and systemic racism,

581
00:31:07,000 --> 00:31:09,320
Speaker 1: and the left would entirely go with OJ.

582
00:31:10,280 --> 00:31:14,520
Speaker 2: Yeah, it might be right with OJ. Yeah for cutting

583
00:31:14,520 --> 00:31:15,560
Speaker 2: off a white woman's head.

584
00:31:16,280 --> 00:31:19,480
Speaker 1: Oh, and then and murdering a poor waiter who just

585
00:31:19,640 --> 00:31:21,040
Speaker 1: was returning some sunglasses.

586
00:31:21,320 --> 00:31:23,480
Speaker 5: Yeah, there's more to it than that, but he was

587
00:31:23,560 --> 00:31:24,800
Speaker 5: boffing OJ's wife.

588
00:31:26,400 --> 00:31:31,120
Speaker 2: Strange life. Listen to you. Are you okay with murder?

589
00:31:31,120 --> 00:31:37,080
Speaker 2: Are you? Are you a Luigi mangioniist.

590
00:31:35,720 --> 00:31:39,360
Speaker 5: Terrible driving riding around in your car. I ain't saying

591
00:31:39,360 --> 00:31:44,880
Speaker 5: it's right, but I understand. As Chris Rock once said, right.

592
00:31:46,640 --> 00:31:47,560
Speaker 2: Trembling stuff.

593
00:31:47,760 --> 00:31:53,200
Speaker 5: I'd say, uh, if you have any open wounds, stay

594
00:31:53,240 --> 00:31:57,520
Speaker 5: away from the border. Oh boy, I'll explain why, coming

595
00:31:57,600 --> 00:31:58,000
Speaker 5: up next.

596
00:32:00,120 --> 00:32:08,000
Speaker 9: He Finally, McDonald's is trying to attract more customers by

597
00:32:08,040 --> 00:32:10,960
Speaker 9: making hand breaded chicken, although I don't know if I

598
00:32:11,000 --> 00:32:12,680
Speaker 9: love their new slogan, our hands.

599
00:32:12,440 --> 00:32:13,760
Speaker 2: Are all over your breast.

600
00:32:16,240 --> 00:32:18,400
Speaker 5: Hand breaded chicken at McDonald Well, I'll try it, and

601
00:32:18,400 --> 00:32:19,400
Speaker 5: it's either good or it's not.

602
00:32:20,520 --> 00:32:21,760
Speaker 2: I'll tell you it's not good.

603
00:32:21,800 --> 00:32:26,880
Speaker 5: Flesh eating bacteria, having maggots all over you, that's not good.

604
00:32:27,800 --> 00:32:32,480
Speaker 5: We talked to you yesterday about this new World screw worm,

605
00:32:32,680 --> 00:32:35,400
Speaker 5: which we had eradicated in the United States back in

606
00:32:35,480 --> 00:32:39,480
Speaker 5: the sixties, but it was south of the border, and

607
00:32:39,520 --> 00:32:41,720
Speaker 5: an now it's across the border. They got the first

608
00:32:42,240 --> 00:32:46,400
Speaker 5: infection in Texas. They found a calf that had it

609
00:32:47,280 --> 00:32:49,920
Speaker 5: and can get into animals and cause real problems. And

610
00:32:50,000 --> 00:32:54,920
Speaker 5: the beef industry is absolutely huge in Texas, many billions

611
00:32:54,960 --> 00:32:57,320
Speaker 5: of dollars at steak. But it also can get onto people.

612
00:32:58,160 --> 00:33:03,640
Speaker 5: The thing that's interesting about this New World screwworm is

613
00:33:03,680 --> 00:33:07,560
Speaker 5: that it feeds on living flesh of warm blooded animals,

614
00:33:07,560 --> 00:33:12,120
Speaker 5: not dead things like Maggot's. Typically, you know that's a

615
00:33:12,160 --> 00:33:15,440
Speaker 5: dead animal thing. This is a it's looking for live animals,

616
00:33:15,600 --> 00:33:18,680
Speaker 5: so open wounds are a real risk. If you're anywhere

617
00:33:18,720 --> 00:33:23,000
Speaker 5: where they've got the New World Screwworm, or the NWS

618
00:33:23,120 --> 00:33:27,400
Speaker 5: as they call it, would you like some details of

619
00:33:27,440 --> 00:33:28,600
Speaker 5: what it's gonna be like if you get.

620
00:33:28,440 --> 00:33:31,840
Speaker 2: It, just so you know, no, because you might get it. No,

621
00:33:31,920 --> 00:33:34,200
Speaker 2: I won't. You don't think you're gonna get it.

622
00:33:34,240 --> 00:33:38,560
Speaker 5: This one of the uh uh, one of the things

623
00:33:38,640 --> 00:33:41,480
Speaker 5: you to watch out for malaise. So if anytime I

624
00:33:41,480 --> 00:33:43,200
Speaker 5: feel just kind of tired, I can think, oh, but

625
00:33:43,280 --> 00:33:46,200
Speaker 5: I got that. Dang you know what, but I'm full

626
00:33:46,200 --> 00:33:48,520
Speaker 5: of screw worms. I stand corrected. I've got it.

627
00:33:49,440 --> 00:33:52,600
Speaker 2: I've had it for years exactly. I've been walking around

628
00:33:52,640 --> 00:33:56,040
Speaker 2: with it my whole life flew like symptoms is that next.

629
00:33:56,400 --> 00:33:59,120
Speaker 5: Uh yeah, some of the some of the symptoms are

630
00:33:59,160 --> 00:34:02,400
Speaker 5: a weight too gross obviously for the air. Yeah, I

631
00:34:02,400 --> 00:34:06,320
Speaker 5: don't want it, but it it enters through any sort

632
00:34:06,360 --> 00:34:07,880
Speaker 5: of opening you have, whatsoever.

633
00:34:10,400 --> 00:34:12,400
Speaker 1: So the next time I ear it, just I should

634
00:34:12,440 --> 00:34:14,799
Speaker 1: assume that one of those is burrowing its way into

635
00:34:14,840 --> 00:34:15,240
Speaker 1: my brain.

636
00:34:15,400 --> 00:34:18,160
Speaker 5: It's funny here it listed your orify that it could

637
00:34:18,160 --> 00:34:20,080
Speaker 5: come through, and it left one out. I wonder if

638
00:34:20,120 --> 00:34:22,839
Speaker 5: that was just trying to be polite, because there's one

639
00:34:22,880 --> 00:34:25,000
Speaker 5: on the list that we all have. I mean, they're

640
00:34:25,040 --> 00:34:26,840
Speaker 5: like opinions, really, and.

641
00:34:27,040 --> 00:34:33,759
Speaker 2: I'm familiar and it doesn't wow.

642
00:34:34,800 --> 00:34:37,920
Speaker 1: You know, I'm tempted to go down this road, but

643
00:34:37,960 --> 00:34:40,880
Speaker 1: I'm trying so hard to hold on to some decorum.

644
00:34:40,920 --> 00:34:41,719
Speaker 2: Unlike Congress.

645
00:34:41,760 --> 00:34:44,680
Speaker 5: It's only the female worms that lay eggs in your

646
00:34:44,680 --> 00:34:47,920
Speaker 5: open wounds, navel or body openings that not surprising.

647
00:34:48,520 --> 00:34:53,560
Speaker 1: Screw worm bitches exactly. Oh, I've lost decorum anyway. I'm sorry, folks.

648
00:34:53,680 --> 00:34:56,120
Speaker 5: It was a major problem way back in the fifties

649
00:34:56,480 --> 00:35:00,440
Speaker 5: and uh and we spent a lot of money and

650
00:35:00,520 --> 00:35:03,160
Speaker 5: time and effort to eradicate it from the United States.

651
00:35:03,400 --> 00:35:05,680
Speaker 5: But it is back and hopefully won't take off the

652
00:35:05,680 --> 00:35:09,080
Speaker 5: Texas cattle industry alone is worth fifteen billion dollars, not

653
00:35:09,160 --> 00:35:10,080
Speaker 5: to mention all the other.

654
00:35:09,960 --> 00:35:11,960
Speaker 2: States that are you know, baking cattle.

655
00:35:12,640 --> 00:35:14,520
Speaker 5: And if you have pets, it can become a real

656
00:35:14,560 --> 00:35:17,160
Speaker 5: problem too, because pets often have some.

657
00:35:17,040 --> 00:35:19,120
Speaker 2: Sort of open wound. Right.

658
00:35:19,400 --> 00:35:23,080
Speaker 1: Sure, I'm not anti immigration per se. We've talked about

659
00:35:23,120 --> 00:35:25,520
Speaker 1: this many times throughout the years, but it does strike

660
00:35:25,600 --> 00:35:31,640
Speaker 1: me that if you're talking about invasive species or pests

661
00:35:31,760 --> 00:35:32,680
Speaker 1: like this, or.

662
00:35:32,760 --> 00:35:37,120
Speaker 2: Whooping cough or what whooping cough.

663
00:35:38,280 --> 00:35:40,880
Speaker 1: Or diseases that we don't have immunity for or whatever,

664
00:35:41,280 --> 00:35:47,399
Speaker 1: there are absolutely risks to any population anywhere from unfettered

665
00:35:47,440 --> 00:35:49,240
Speaker 1: to interchange around the world.

666
00:35:49,320 --> 00:35:52,240
Speaker 2: Yeah, there are reasons civilizations have borders.

667
00:35:52,280 --> 00:35:55,240
Speaker 5: People weren't getting whooping cough until we opened up our borders.

668
00:35:56,640 --> 00:35:58,400
Speaker 2: Nobody had even thought about whooping cough.

669
00:35:58,960 --> 00:36:01,560
Speaker 5: Why does that get I'll come every time you hear

670
00:36:01,560 --> 00:36:04,520
Speaker 5: a story about the wooing whooping cough epidemic popping up

671
00:36:04,560 --> 00:36:08,600
Speaker 5: here and there, it isn't attached to the open borders

672
00:36:08,640 --> 00:36:12,600
Speaker 5: story it ought to be, or to berculosis or any

673
00:36:12,600 --> 00:36:13,839
Speaker 5: of the other stuff that's come back.

674
00:36:14,280 --> 00:36:16,160
Speaker 2: No, our lying media is uncomfortable with that.

675
00:36:16,239 --> 00:36:20,359
Speaker 1: We don't want to give any fodder to nativists and racists.

676
00:36:20,480 --> 00:36:23,160
Speaker 1: By telling them the truth, they helping them make a

677
00:36:23,280 --> 00:36:24,240
Speaker 1: measured decision.

678
00:36:24,480 --> 00:36:28,279
Speaker 5: They do want to tie it into right wing nut

679
00:36:28,360 --> 00:36:31,480
Speaker 5: jobs who won't get their vaccines, which is a thing,

680
00:36:31,880 --> 00:36:36,719
Speaker 5: but that's not why I got whooping cough. I got

681
00:36:36,800 --> 00:36:38,799
Speaker 5: the shot as a little kid, like we all did,

682
00:36:39,200 --> 00:36:42,520
Speaker 5: and it wore off. But nobody cared before that. It

683
00:36:42,600 --> 00:36:44,880
Speaker 5: wore off because it didn't exist in the country.

684
00:36:45,440 --> 00:36:46,280
Speaker 2: M Yeah.

685
00:36:46,480 --> 00:36:51,120
Speaker 1: Yeah, so that snake handling over tanned steroid nut is

686
00:36:51,480 --> 00:36:54,480
Speaker 1: definitely a factor in the story, but not in your story,

687
00:36:54,520 --> 00:36:54,879
Speaker 1: per se.

688
00:36:55,040 --> 00:36:55,960
Speaker 2: Well, right, exactly.

689
00:36:56,480 --> 00:36:59,880
Speaker 1: Speaking of science, that famous famous study that convinced that

690
00:37:00,040 --> 00:37:04,560
Speaker 1: everybody that if you don't indulge your child's transgender notions,

691
00:37:04,840 --> 00:37:09,000
Speaker 1: they will commit suicide. The true story of that study,

692
00:37:09,239 --> 00:37:10,160
Speaker 1: it's unbelievable.

693
00:37:10,160 --> 00:37:12,480
Speaker 2: Well that should be known. Yeah, that's all.

694
00:37:13,200 --> 00:37:15,320
Speaker 5: Yeah, if you missed the segment the podcast Armstrong and

695
00:37:15,400 --> 00:37:16,160
Speaker 5: Getty on demand

696
00:37:17,840 --> 00:37:19,000
Speaker 2: Armstrong and Getty