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Speaker 1: I went to a cannibal corpse in Ma Suga concert

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Speaker 1: last night, and I did not eat or drink enough before.

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Speaker 1: I was so busy all day that I like had

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Speaker 1: like low blood sugar and just kind of like asked

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Speaker 1: out in the most forty year old way. The medic

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Speaker 1: asked my friends like, yo, what's this guy on? And

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Speaker 1: my buddy was like, dude, I think he just has

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Speaker 1: the water and he's old. What he said to the medic,

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Speaker 1: I remember, he goes, dude, nothing. We just got here.

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Speaker 1: We had some pizza and shit, he just needs water

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Speaker 1: and stuff. I think he's old. And I was like, dude,

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Speaker 1: funny fuck it was. And then it was like a

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Speaker 1: curb your enthusiasm moment, like as I got to like

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Speaker 1: the edge of the thing and the security is like, okay, man,

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Speaker 1: you gotta you gotta get on this gurney and I'm like, no, dude,

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Speaker 1: I just need to like sit down. They're like our liability,

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Speaker 1: like if you go down or something, we need you

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Speaker 1: on this gurney. So like I have to share this

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Speaker 1: picture like of me on like on the gurney, like

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Speaker 1: looking confused at my friend. Like in this metal show

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Speaker 1: where like it's like you.

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Speaker 2: If you were truly and old, you would have been like,

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Speaker 2: oh my god, I'd love to lie down on the

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Speaker 2: gurney right now and watch the shot. Say extra for this.

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Speaker 1: They got me like in the concourse. I was like,

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Speaker 1: actually them, I'm a chill here for a second. But

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Speaker 1: all the the e mts like trainees. This one person

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Speaker 1: it took like four minutes for them to get my

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Speaker 1: blood pressure. I was like, you went like the I'm fine.

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Speaker 2: This student cosmetology school for a haircut, but it's.

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Speaker 1: For medical for real, for real.

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Speaker 2: I would like, I think that's okay that you passed

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Speaker 2: out at a heavy metal concert. If you pass out

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Speaker 2: at like a Jason Moras concert, then we're gonna have

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Speaker 2: to worry if if you're like at NYA, just like,

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Speaker 2: oh god, this is too much, oh ya?

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Speaker 1: And is heavy in this house? Banger, Hello the Internet,

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Speaker 1: and welcome to Season three, eighty three, Episode five, All

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Speaker 1: of the Daily's Like guys, the production of iHeartRadio. This

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Speaker 1: is the podcast where we take a deep dive into

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Speaker 1: American shared consciousness. It's fucking Friday. Thank god, it's Friday. TG.

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Speaker 1: If it's four eleven, April eleventh, you ask me what

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Speaker 1: day is that. What are we celebrating day? Well, April

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Speaker 1: eleventh is uh National do what? The National Submarine Day? Okay,

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Speaker 1: shout out to everybody trying to check out the Titanic.

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Speaker 1: If you're a billionaire national cheese want to day? Oh what?

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Speaker 2: Because then don'tly have like a submarine or some shit?

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Speaker 1: Knowing every police department getting like old military hardware, I'd

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Speaker 1: be like, I wouldn't surprised it. Like the Omaha, Nebraska

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Speaker 1: Police Department also had a submarine.

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Speaker 2: And you're like, that's what I got into this job.

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Speaker 2: For the subs.

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Speaker 1: The subs. At first it was sandwiches and then they

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Speaker 1: were literally given.

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Speaker 2: A submarine kind of sub.

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Speaker 1: Hey for the olds out there like me who are

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Speaker 1: forty years old and having a little bit of a

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Speaker 1: fainting spell at the show. It's also National eight Track

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Speaker 1: Tape Day and National Barbershop Quartet Day.

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Speaker 2: Fine, god, wow, I don't know what those are. That's crazy.

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Speaker 1: Oh wow, I'm so young and beautiful.

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Speaker 2: I don't know any of that is.

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Speaker 1: Look at my skin wrinkle free? What's an eight track?

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Speaker 1: What's a cassette tape? What's VHS?

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Speaker 2: A lady track or eight track?

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Speaker 1: Anyway, I am Miles Gray aka the Showgun with No Gun,

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Speaker 1: the Lord of Lankerston North, Hollywood's finest, and I'm pleased

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Speaker 1: to be joined today by my guest co host, fantastic comedian,

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Speaker 1: writer talker, uh what else? Scientist, a learned person who

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Speaker 1: actually have a thing I wanted to talk about because

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Speaker 1: you were on today relating to the dire Wolf, because

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Speaker 1: I don't know anything about science. But also you may

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Speaker 1: know her from the monthly comedy show Facial Recognition Comedy,

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Speaker 1: but we know her as the person who burned my

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Speaker 1: house down. Please welcome to the microphone.

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Speaker 2: Poly Hey, it's me Jack O Bright. I can't do

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Speaker 2: with Jack. How do you do with Jack impression?

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Speaker 1: It's hard, you got it? Even I would study more. Yeah,

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Speaker 1: there are certain affects you have to pick up. But

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Speaker 1: one thing. He'll talk like this sometimes and it changes

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Speaker 1: the acoustics. Sometimes you can talk.

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Speaker 2: Really he talks like he's going through the great depression.

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Speaker 3: Is that.

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Speaker 2: I don't know. It sounds. It sounds sad. When you

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Speaker 2: rest your oath like the double hand in your face,

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Speaker 2: that's it's the one hand on your face. That's time.

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Speaker 1: That's great depression. Well, Paula, we are thrilled to be

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Speaker 1: joined by a very talented human being. Look, I'm again,

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Speaker 1: I'm a little hesitant to have people who are very

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Speaker 1: accomplished on the show because it makes me look small.

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Speaker 1: But in a way, so much, thank you exactly. I

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Speaker 1: have a humility kink. I like to be humbled, very

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Speaker 1: very politely. But the thing is this person is you

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Speaker 1: probably know her from YouTube, you maybe know her from

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Speaker 1: her podcasting, even as a relationship coach or most recently,

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Speaker 1: as the author of the new book Save the Date.

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Speaker 1: Please welcome to the microphone the brilliant and talented, wonderful

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Speaker 1: Alis Erosco.

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Speaker 4: Wow, that was maybe my favorite intro of all time.

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Speaker 1: Thank you, thank you. I panicked through the whole thing,

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Speaker 1: and I'm glad you didn't notice it. It was It

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Speaker 1: was truly still flooding.

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Speaker 2: But it's also just from being old.

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Speaker 1: Everything's from being old. Shut up, my boy, Mike, who

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Speaker 1: told the medics dude, I think he's just old. Dude, Allison,

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Speaker 1: Great to see you, another book, another banger. You can

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Speaker 1: tell how many books have you written now?

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Speaker 2: Like this is that this is my fifth one? Oh

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Speaker 2: my god, I haven't even read that many books in

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Speaker 2: my life.

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Speaker 1: Yeah, it's crazy, I'm still stuck on Genesis in the Bible.

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Speaker 4: Each time it's the minimum word count, they'll be like,

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Speaker 4: it's got to be at least this, and I'll be like,

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Speaker 4: here is just that.

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Speaker 2: If you push like a paperback and forth across the

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Speaker 2: table with your editor, you're just like, how about few words?

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Speaker 1: And it gets wrinkled because you're both pushing it at

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Speaker 1: each other at the same time. No, no, no no,

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Speaker 1: And they're like, Alison, were we got your manuscript. It's

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Speaker 1: in size fourteen fun double space, but hey, how many

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Speaker 1: pages is it? Ahh? So we ready, we ready? What's

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Speaker 1: the new book about?

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Speaker 4: So this is a rom com roman's novel that's like

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Speaker 4: based off of my own broken engagement because in twenty twenty,

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Speaker 4: my fiance at the time just was like randomly like, hey,

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Speaker 4: I'm leaving, really give a bunch of We were like

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Speaker 4: in the middle of an episode of Lucifer.

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Speaker 2: What the fuck? Really?

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Speaker 1: Oh my god?

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Speaker 2: Why have you ruined Lucifer for you? How dairy?

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Speaker 1: Yeah?

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Speaker 2: I know?

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Speaker 4: And then I tried to go back to it later

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Speaker 4: and I was like, I can't really re engage with this,

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Speaker 4: and he didn't really give me much of an explanation.

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Speaker 4: So it was like middle of the pandemic, total nightmare.

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Speaker 4: I flew home to New York from LA to be

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Speaker 4: with my family, and my dad started like making these jokes.

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Speaker 4: He was like, well, why don't you just find a

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Speaker 4: new groom in time for your wedding, Like just marry

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Speaker 4: just like marry somebody else. And I was like, Dad,

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Speaker 4: that's like a banana's idea for a real person.

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Speaker 2: But it's a wonderful I guess. Can I tell you?

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Speaker 2: My mom had a similar thing. My brother is engaged

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Speaker 2: to someone, they have a kid together, they have a house,

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Speaker 2: they're family right, but they haven't gotten married yet as

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Speaker 2: far as we know. And so when my other when

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Speaker 2: my cousin in India was getting married, my mom just

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Speaker 2: started going around telling everyone. She was like, why don't

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Speaker 2: they both just get married? He can come up, they

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Speaker 2: can do a dual wedding. They could both be on

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Speaker 2: the DIA, so some pirs could just marry them, get

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Speaker 2: it done. Nobody had approved this, she was telling everyone,

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Speaker 2: none of you, olbody was on board with them.

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Speaker 1: Yeah. I love when parents just do that thing, just

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Speaker 1: just brute force. I'm unilaterally just everything for everyone. And

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Speaker 1: I don't care if anyone has a different opinion, and

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Speaker 1: I won't acknowledge agency either. This is my idea.

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Speaker 2: If that's another terminal illness of becoming an.

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Speaker 1: Old we will definitely see that in our news stories.

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Speaker 1: But yes, Allison, good to have you. We are going

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Speaker 1: to get to know even better. I'm going to do

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Speaker 1: this quick couple headlines up top because they are worth

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Speaker 1: talking about, at least informing you about. And if we

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Speaker 1: want to talk, if you want to learn about it more,

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Speaker 1: you can check out the articles we're talking about in

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Speaker 1: the footnotes. But it's just kind of like more cleaning

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Speaker 1: up house in the House of Representatives. The House just

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Speaker 1: passed a sweeping voter suppression bill. This is a bill

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Speaker 1: that would require everyone registering to vote or updating their

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Speaker 1: voter registration information to present documentary proof of citizenship in person.

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Speaker 1: Many studies have shown that millions of eligible voters lack

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Speaker 1: the access to documents that prove their citizenship, like a passport,

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Speaker 1: birth certificate, naturalization papers, especially where you know a lot

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Speaker 1: of people point out that a lot of passport holders

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Speaker 1: tend to reside in blue states than red states. So

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Speaker 1: I'm not sure how this helps anything, but at the

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Speaker 1: very least. This is also a thing, huge thing for

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Speaker 1: anyone who has ever changed their name for any reason,

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Speaker 1: legally would essentially make it very difficult for you to

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Speaker 1: vote again. So right now, as it stands, the Senate

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Speaker 1: doesn't seem too interested in picking up this bill. But

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Speaker 1: so this is probably just more for them to pretend

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Speaker 1: like they're doing something in the House, but something they

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Speaker 1: did actually get done in the House. They did advance

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Speaker 1: Trump's budget bill in a twenty sixteen to twenty fourteen

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Speaker 1: vote with some Democrats who helped fucking get it over

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Speaker 1: the line. So to that party, what is that?

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Speaker 2: How do you live with yourself?

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Speaker 1: I think people are so worried about getting voted out,

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Speaker 1: Like the thing these people always say like, well, you know,

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Speaker 1: this just isn't popular in my district, and it's just

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Speaker 1: something I'm going to have to do what works for me,

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Speaker 1: which is bring in the gutting of Social Security and

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Speaker 1: other safety nets and give a huge tax break to

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Speaker 1: the wealth. Okay, sure that's popular for Is that popular

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Speaker 1: because that's actually what you're doing here. So well, this

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Speaker 1: is the first step of many steps to get to

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Speaker 1: that bill that Trump has been screaming about. That will

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Speaker 1: essentially be like, how do we give more money to

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Speaker 1: billionaires while we cut social safety programs and food stamps

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Speaker 1: and things like that. This is the beginning of that process.

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Speaker 1: So much fighting to come or or not from the Democrats.

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Speaker 1: I don't know, but you think this is this is

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Speaker 1: the time to get your fighting shoes on. But anyway,

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Speaker 1: Alison raskin our Steam guests, what is something from your

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Speaker 1: search history that's revealing about who you are?

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Speaker 2: Oh?

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Speaker 4: Well, recently I've had to like google if if cottage

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Speaker 4: cheese is okay to give a dog with a bad

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Speaker 4: stomach because my dog, my dog has diarrhea.

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Speaker 2: What dogs can eat all the time? That's all morning.

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Speaker 2: I was like, is it okay for my dog to

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Speaker 2: like air conditioning water? It's not. It's not today. Yeah,

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Speaker 2: that seems bad.

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Speaker 1: Wait, like the condensation that comes out of like.

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Speaker 2: The it drips out of and then I walk outside

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Speaker 2: my apartment and then he's just like, well this is water,

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Speaker 2: and I'm like, you're killing me. Do you love an

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Speaker 2: affair with the vet? Is that what's happening? You know?

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Speaker 2: It's just like bacteria and mold. I look it up,

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Speaker 2: legionnaires disease. I'm like, I can't read this humans.

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Speaker 1: No on my.

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Speaker 2: Dog loves found water.

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Speaker 4: Yeah, you would think that this dog wasn't being hydrated

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Speaker 4: on the regular, Like if he finds water, that's like

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Speaker 4: not meant to be for him.

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Speaker 2: He's like, I'm really like, my.

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Speaker 1: Dog loves like like where like on a sidewalk where

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Speaker 1: the grass patches, like at the corner sometimes sprinkler water

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Speaker 1: pools right there. Just like he's I'm like, what the

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Speaker 1: that is? Gross? Dude, you don't even like like what

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Speaker 1: is this?

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Speaker 2: He like peas in his water bullet home. He's like,

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Speaker 2: fuck this, give me that good stuff.

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Speaker 1: Take me outside for that mud.

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Speaker 2: Wait, so you were gonna yeah, it's your dog. And

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Speaker 2: also he said you were googling something else right after.

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Speaker 4: Oh, I don't know if I was to be honest, honestly,

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Speaker 4: what's really embarrassing is what I've mostly been googling is

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Speaker 4: like my book reviews. So oh, hell yeah, do I

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Speaker 4: want to admit that. I guess I will a lot

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Speaker 4: of googling my good Reads page, a lot of.

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Speaker 2: My name slash news. You know.

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Speaker 1: I mean, Alison, you don't have a Google alerts just

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Speaker 1: set up for this. I mean, let it do the

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Speaker 1: work for it.

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Speaker 4: I don't have it for me, and my dad has

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Speaker 4: it and then he forwards.

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Speaker 1: Me perfect perfect, perfect, perfect perfect. What's the mean? Thing?

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Speaker 1: Is underrated?

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Speaker 2: So I was thinking about this.

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Speaker 4: I think in America at least, that tea is underrated,

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Speaker 4: like like gossip. Oh no oh, I feel like it's

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Speaker 4: appropriately rated.

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Speaker 2: I mean.

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Speaker 4: I mean like like black tea, green tea, or bal tea,

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Speaker 4: like I feel.

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Speaker 2: Throwing it into the Boston harbor. We don't give a

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Speaker 2: shit about tea, right right.

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Speaker 4: And like we're a real coffee nation, and as someone

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Speaker 4: with like serious acid refl you cannot drink coffee anymore.

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Speaker 4: I'm all about tea, and there's so many more varieties.

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Speaker 1: Yeah.

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Speaker 2: True, you're like googling, can I take cottage cheese for

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Speaker 2: my acid reflux.

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Speaker 1: And also dog diarrhea? I want to buy one thing

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Speaker 1: that help works for both of us. Yeah great, yeah, yeah,

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Speaker 1: I'm sure you probably did. Tea was drinking your home?

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Speaker 2: Well, yeah, because I'm like half North Indian, which is

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Speaker 2: like the tea half, and then half South Indian, which

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Speaker 2: is like the coffee half. So we're a split house.

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Speaker 2: We're a mixed drink household.

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Speaker 1: Wait, what's the what's South, Like, what's the coffee like

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Speaker 1: in first like South India?

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Speaker 2: Oh fucking good, Oh my god, did they call it

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Speaker 2: Madras coffee? I don't even know, man, it's just how

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Speaker 2: they make it and then they bring it out to

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Speaker 2: you in these in this like it's piping hot and

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Speaker 2: these tumblers and you have to cool it down by

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Speaker 2: pouring it like into the the thing that tumbler. Oh yeah, yeah, yeah, yeah,

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Speaker 2: I just I love South Indian tea or coffee, and

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Speaker 2: like the tea in India also really good, but they

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Speaker 2: make it on the stove with all the masala and everything,

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Speaker 2: like all of the ginger or whatever they want to

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Speaker 2: put in it.

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Speaker 1: Yeah, I grew up drinking tea too. Shout out my mom,

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Speaker 1: Shout out Japan, because that's also just a bunch of

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Speaker 1: hell yeah and yeah, but I feel like it's a

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Speaker 1: thing like I always forget about how much I actually

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Speaker 1: enjoy drinking tea, like more than coffee. Feels like it

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Speaker 1: feels like just capitalist toil fuel that you have to drink.

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Speaker 1: And yeah, like I feel like tea just feels a

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Speaker 1: little bit more like this feels like a treat versus

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Speaker 1: like I need to wake the fuck up, man, I

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Speaker 1: need to get that's.

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Speaker 2: True, you fuck up. I've like conditioned myself. I never

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Speaker 2: I didn't used to like the bitterness, like when I

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Speaker 2: was like growing up of like coffee or like, I mean,

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Speaker 2: I liked it, but like I had to add a

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Speaker 2: bunch of sugar and stuff. But now I'm like, I

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Speaker 2: have a decaf coffee that I use because I like

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Speaker 2: the taste and it's not fully uncaffeinated. But I'm like,

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Speaker 2: I need my warm treat drink, you know, in the morning.

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Speaker 1: I know we all need our warm treat drink. Yeah,

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Speaker 1: what's your favorite? Ta Alison?

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Speaker 4: Just for the record, I really love like when there's

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Speaker 4: an earl gray that's like infused with vanilla.

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Speaker 2: Oh yeah, that's hard to be.

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Speaker 1: I had a lavender earl gray lot like a couple

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Speaker 1: of weeks ago, and I was like, oh, there's.

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Speaker 2: Some Have you been to the pie hole? That's an

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Speaker 2: la thing actually, but they have like an earl gray

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Speaker 2: pie pie. It's so good.

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Speaker 1: The gray pie is fucking All the pies.

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Speaker 2: Are great, but this one is so good. Yeah.

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Speaker 4: Well, it's always upsetting to me when it's like, what

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Speaker 4: black tea do you have in there? Just like English breakfast. Yeah,

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Speaker 4: and it's like, I'll do it. It's like like, where's

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Speaker 4: your earl grey?

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Speaker 2: That's yeah, you take his breakfast and then it just

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Speaker 2: tastes like beans and toast. You're like, what the fuck.

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Speaker 1: They're like, oh, here we forgot your button mushrooms in

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Speaker 1: there too. Oh and then here's some rashers of bacon

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Speaker 1: to go.

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Speaker 2: Along with it.

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Speaker 1: Alison, what's something thing is overrated?

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Speaker 2: Okay?

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Speaker 4: So as a as a dating coach, I think a

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Speaker 4: relationship coach. I never referred to myself as a dating

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Speaker 4: coach before you make money.

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Speaker 2: If you say you're a dating coach, though, how you

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Speaker 2: thought about being an alpha male influencer. I've tried it.

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Speaker 2: It didn't work out. I can't do enough push ups.

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Speaker 4: So I think something that's overrated is chatting on an

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Speaker 4: app for a long time before meeting a person. You

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Speaker 4: got to hold the person, yeah, gott or you even

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Speaker 4: like a FaceTime you got to get it off of texting.

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Speaker 1: Yeah.

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Speaker 2: Then people are doing it.

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Speaker 1: What I mean, logically, I get it, but I've been

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Speaker 1: out of the dating game for what is it five

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Speaker 1: eleven years now, I'm but I'm also assuming it's the

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Speaker 1: same thing where it's like you there are people can

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Speaker 1: some people are so different over text, and then you

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Speaker 1: meet them, like not even in a dating context, like

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Speaker 1: even from working like with people in production, and then

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Speaker 1: you meet them and they're like so different than the

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Speaker 1: way they text, and you're like, am I it? Do

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Speaker 1: they hate me? Or am I not as funny as

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Speaker 1: I was on text? Yeah? Definitely got to meet.

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Speaker 2: People sometimes, especially when I was messaging men, I'd be like,

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Speaker 2: this conversation is so funny and so good, Oh my god,

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Speaker 2: it's gonna be great. And then I looked back after

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Speaker 2: like meeting them, and I was like, wait, I was funny.

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Speaker 1: They were just being generous.

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Speaker 2: They were like, uh cool, and I was like making

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Speaker 2: all these bits by myself.

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Speaker 4: And I also think it just like adds to the

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Speaker 4: like the gamification of yes, online dating, where people like

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Speaker 4: don't take it seriously because they're just like talking to

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Speaker 4: a bunch of different people. And then people are like,

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Speaker 4: I don't get why it's not working right.

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Speaker 1: Because it feels I mean I have like like one

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Speaker 1: of my younger cousins who's like in his like early thirties.

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Speaker 1: The way they talk about dating too, it just feels

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Speaker 1: like they're truly just playing like a numbers game.

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Speaker 4: Yeah, just right, And it's their fault because like the

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Speaker 4: apps are just right right, but you have to like

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Speaker 4: fight against the interface.

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Speaker 1: Right because then I'm like, but isn't the whole point?

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Speaker 1: Like dating is just sort of like ah shit, I

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Speaker 1: got it, like the pre app. You know, when I

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Speaker 1: were younger, you would go and then like you just

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Speaker 1: go on a bunch of dates and meet people, and

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Speaker 1: you're like, eh, sometimes you try and make it work.

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Speaker 1: I guess. I guess because of the volume of interactions

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Speaker 1: you're trying to have. You're not trying to get hung

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Speaker 1: up on one thing. But I feel for y'all. I

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Speaker 1: feel for y'all out there. I feel for y'all out there.

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Speaker 1: You know I did.

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Speaker 2: I did take this advice. I started swiping with intention

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Speaker 2: like any red flags, I swiped left immediately, and then

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Speaker 2: I initiated the conversation whenever we matched, and I made

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Speaker 2: sure to respond right away and then tried to meet

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Speaker 2: in person. And that's how I got the boyfriend that

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Speaker 2: I got from like a dating app. Like the one time,

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Speaker 2: it was like the second person I swiped on and

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Speaker 2: we met up and it like worked out at that time. Yeah,

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Speaker 2: so I like to call it dating productively.

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Speaker 4: Yeah, because then you don't burn yourself out because you're

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Speaker 4: having like less but more like quality interactions.

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Speaker 2: That's how you get maximum games in your relationship. You

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Speaker 2: have to do it while you're working on your push ups.

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Speaker 1: Yeah, bro, you'll be doing one art one arm push ups.

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Speaker 1: Fucking right, Bro, you're sick as fuck. Dude. Just wait, dude,

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Speaker 1: you will not be alone. I'm there with you every

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Speaker 1: step of the way.

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Speaker 2: All right, enough, have you heard of this bit?

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Speaker 1: Quick kidding? Okay, all right, let's take a quick break.

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Speaker 1: We're gonna come back and talk about just everything that's happening,

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00:19:31,160 --> 00:19:33,639
Speaker 1: but also we also check in with some some just

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Speaker 1: right wing men who I think are doing okay, I

404
00:19:36,080 --> 00:19:38,280
Speaker 1: think everyone's doing. Okay, we'll do that in a second

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Speaker 1: after this and we're back. Oh, I forgot to tease

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Speaker 1: what things we're talking about, just so you know. We're

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Speaker 1: about to talk tariffs, We're about to talk right wing

408
00:19:55,840 --> 00:19:59,119
Speaker 1: guys and the dire Wolf coming back. And no, Hitler

409
00:19:59,200 --> 00:20:01,040
Speaker 1: is not a lie and did not end up in

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Speaker 1: Columbia or Argentina like people on the internet are screaming

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Speaker 1: about right now, And we'll tell you why. I think

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Speaker 1: it's just called the fact that we know for certain

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Speaker 1: that he is dead. But anyway, that doesn't stop doesn't

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00:20:12,280 --> 00:20:15,280
Speaker 1: stop nazi freaks from getting in looked, what fools?

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Speaker 2: What are they keeping?

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Speaker 1: Foremost, but just touch really quickly the Trump tariff nonsense.

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Speaker 1: The market manipulation is so at the time we're recording yesterday,

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Speaker 1: like he had just announced the tariff pause, and I'm like, oh,

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Speaker 1: sh what the fuck is he doing? And then a

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Speaker 1: little I got a little distance, you look at it

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00:20:32,000 --> 00:20:34,959
Speaker 1: and you're like, oh, this motherfucker is manipulating the stock market.

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00:20:35,680 --> 00:20:40,600
Speaker 1: He basically was telling followers to a be cool, and

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Speaker 1: then after that very quickly was like, hey, it's a

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Speaker 1: great time to buy stocks. Uh. And then he rescinded

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Speaker 1: most of the tariffs, and then there was a brief

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Speaker 1: jump in trading and the line went up for a second.

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Speaker 1: But it still continues to go down. Let's not let's

428
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Speaker 1: not kid ourselves here. Even though he said announced a pause,

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00:20:55,960 --> 00:20:58,840
Speaker 1: the economy is still headed in the wrong direction, and

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Speaker 1: people still fear a recession is a very possible thing.

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00:21:02,200 --> 00:21:05,199
Speaker 1: Democrats are now calling for an investigation from the Office

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Speaker 1: of Government Ethics. I'm sure that'll yield something. Trump was

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Speaker 1: accused of this in his last term too, so this

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Speaker 1: is something he's been doing since the eighties, where he

435
00:21:16,560 --> 00:21:18,480
Speaker 1: would buy a bunch of stock, or his dad would

436
00:21:18,480 --> 00:21:20,600
Speaker 1: buy a bunch of stock in a company, then leak

437
00:21:20,920 --> 00:21:23,560
Speaker 1: like a rumor that he was about to take over

438
00:21:23,680 --> 00:21:26,640
Speaker 1: said company, and when the stock price went up as

439
00:21:26,640 --> 00:21:29,160
Speaker 1: a result of the rumors, they just sell it off

440
00:21:29,160 --> 00:21:32,720
Speaker 1: and make a profit. So like, for example, January of

441
00:21:32,760 --> 00:21:35,720
Speaker 1: nineteen eighty nine, Fred Trump bought eighty six hundred shares

442
00:21:35,760 --> 00:21:38,080
Speaker 1: of time Ink for like nine hundred and thirty thousand

443
00:21:38,080 --> 00:21:40,960
Speaker 1: dollars of this is from his tax returns. Seven days later,

444
00:21:41,400 --> 00:21:44,480
Speaker 1: a financial columnist who's like friends with Donald Trump broke

445
00:21:44,520 --> 00:21:48,040
Speaker 1: the news that Donald was had quote taken a sizable

446
00:21:48,080 --> 00:21:52,280
Speaker 1: stake in time Ink, and then sure enough the share

447
00:21:52,320 --> 00:21:55,639
Speaker 1: price jumped. Fred Trump sold and made like forty grand

448
00:21:55,640 --> 00:21:57,439
Speaker 1: in like two weeks, and then just kind of they

449
00:21:57,480 --> 00:21:59,200
Speaker 1: just kept doing shit crazy.

450
00:21:59,320 --> 00:22:00,720
Speaker 2: It just might work.

451
00:22:00,800 --> 00:22:03,920
Speaker 1: It just might work a bunch of times since the eighties.

452
00:22:05,240 --> 00:22:07,520
Speaker 1: But like when people caught on to the fact that

453
00:22:07,560 --> 00:22:10,359
Speaker 1: they kept doing this like fake ass hype takeover shit,

454
00:22:10,520 --> 00:22:13,000
Speaker 1: Fred Trump ended up losing like like almost two million

455
00:22:13,040 --> 00:22:15,520
Speaker 1: dollars when they tried to do this with American airlines.

456
00:22:15,800 --> 00:22:17,879
Speaker 1: So people eventually caught on.

457
00:22:18,160 --> 00:22:20,520
Speaker 4: This is like what happens with those meme coins or

458
00:22:20,600 --> 00:22:23,840
Speaker 4: like the new the new bitcoins that celebrities will drop.

459
00:22:23,880 --> 00:22:27,040
Speaker 4: And then so like with the Hawk, ta girl.

460
00:22:26,920 --> 00:22:29,080
Speaker 1: Yeah, get the get all the interest going up, say

461
00:22:29,480 --> 00:22:31,520
Speaker 1: I'm in it for the long haul, drive the price up,

462
00:22:31,560 --> 00:22:34,840
Speaker 1: and then guess who's selling real quick? Oh, now you're

463
00:22:34,840 --> 00:22:35,720
Speaker 1: holding the bag.

464
00:22:36,160 --> 00:22:39,920
Speaker 2: Do you think the leak was uh Trump's alter ego

465
00:22:40,000 --> 00:22:41,719
Speaker 2: John Baron or whatever the fuck?

466
00:22:42,440 --> 00:22:44,920
Speaker 1: Well, there's a lot who knows. I mean, he kind

467
00:22:44,920 --> 00:22:47,720
Speaker 1: of no. At this point in his senility. I think

468
00:22:47,720 --> 00:22:49,359
Speaker 1: he's just saying he's just doing it out loud, you

469
00:22:49,400 --> 00:22:52,200
Speaker 1: know what I mean. He's like, I'm rinning it back then, yeah, yeah,

470
00:22:52,280 --> 00:22:52,920
Speaker 1: right exactly.

471
00:22:53,160 --> 00:22:56,439
Speaker 4: It's also so funny that like his his like people

472
00:22:56,440 --> 00:23:00,359
Speaker 4: are like, this was a very strategic decision because that

473
00:23:00,640 --> 00:23:02,000
Speaker 4: we meant, we meant.

474
00:23:01,760 --> 00:23:03,560
Speaker 2: To get rid of the terror episode. It was always

475
00:23:03,560 --> 00:23:04,320
Speaker 2: for strategy.

476
00:23:04,359 --> 00:23:05,880
Speaker 4: And then they go to Trump and Trump's like, yeah,

477
00:23:05,880 --> 00:23:08,199
Speaker 4: people were getting yippie, so I'm like, I'll give up.

478
00:23:08,480 --> 00:23:10,320
Speaker 1: Then they're like, oh, he's like, you know, so many

479
00:23:10,320 --> 00:23:13,080
Speaker 1: countries these seventy five countries that are gonna get relief.

480
00:23:13,119 --> 00:23:16,480
Speaker 1: They're like, what countries are those can't tell you, Okay,

481
00:23:16,920 --> 00:23:20,359
Speaker 1: but they did come to negotiate, which ones don't know.

482
00:23:20,960 --> 00:23:24,560
Speaker 2: Don't know, nobody could know. There's no way to.

483
00:23:24,560 --> 00:23:27,280
Speaker 1: Know what's It's so in your face at this point,

484
00:23:27,320 --> 00:23:29,119
Speaker 1: like a lot of people are like they really do

485
00:23:29,280 --> 00:23:31,800
Speaker 1: need to look into this because it's so clear, like

486
00:23:32,080 --> 00:23:35,639
Speaker 1: this was very fucking odd because he had charge like

487
00:23:35,760 --> 00:23:39,840
Speaker 1: literally charged Charles Schwab, the investor in the Oval office

488
00:23:39,840 --> 00:23:44,520
Speaker 1: on Wednesday, right after like the the tariffs had been announced.

489
00:23:44,880 --> 00:23:48,280
Speaker 1: Then he like he gestures to Charles Schwab and this

490
00:23:48,320 --> 00:23:50,800
Speaker 1: other guy, Roger Penske, who owns like a NASCAR team,

491
00:23:51,040 --> 00:23:53,280
Speaker 1: and he goes, he made two point five million today

492
00:23:53,359 --> 00:23:58,240
Speaker 1: and he made nine hundred million. That's not bad. Uh,

493
00:23:58,280 --> 00:24:01,200
Speaker 1: what are you saying? What are you talking about?

494
00:24:01,680 --> 00:24:05,199
Speaker 2: That's like nuts? Again, Well, I didn't know Charles Schwab

495
00:24:05,280 --> 00:24:07,160
Speaker 2: was a real person and not just a bank.

496
00:24:06,960 --> 00:24:09,040
Speaker 1: That you couldn't want me too.

497
00:24:09,600 --> 00:24:12,040
Speaker 4: I was like, tries he still alive. I would have

498
00:24:12,080 --> 00:24:13,200
Speaker 4: thought he was a real person.

499
00:24:13,320 --> 00:24:16,160
Speaker 1: He's eighty seven years old, and he looks he looks

500
00:24:16,240 --> 00:24:18,320
Speaker 1: like if you look at me. Oh, that's Charles Schwab.

501
00:24:18,960 --> 00:24:21,080
Speaker 2: Yeah, definitely looks like Charles.

502
00:24:21,600 --> 00:24:24,800
Speaker 1: Dude. The brand is so strong that he somehow he

503
00:24:24,920 --> 00:24:27,240
Speaker 1: carved out a unique lane visually as like an.

504
00:24:27,119 --> 00:24:31,199
Speaker 2: Eighty seven, as like the older the biggest CEO in

505
00:24:31,240 --> 00:24:33,920
Speaker 2: like mad Men. I'd be like, yeah, that's the guy.

506
00:24:34,280 --> 00:24:38,960
Speaker 1: Yeah. So again, the stock market hasn't recovered. Uh. And

507
00:24:39,040 --> 00:24:42,040
Speaker 1: while Trump and maybe his friends certainly made a little

508
00:24:42,040 --> 00:24:44,440
Speaker 1: bit of money, the reports around the change of heart

509
00:24:44,520 --> 00:24:47,080
Speaker 1: sound like Trump was being just pressured from his advisors

510
00:24:47,080 --> 00:24:50,719
Speaker 1: to change course once people started selling off American bonds,

511
00:24:50,720 --> 00:24:52,960
Speaker 1: which is something that investors usually saw as like a

512
00:24:52,960 --> 00:24:56,360
Speaker 1: solid investment. They're like, yeah, I'm confident in the American economy.

513
00:24:56,400 --> 00:24:58,720
Speaker 1: And then when those bonds were people were like selling

514
00:24:58,800 --> 00:25:00,600
Speaker 1: them off. They're like, okay, so we could go into

515
00:25:00,680 --> 00:25:06,159
Speaker 1: a depression now, And somehow he changed course, which still

516
00:25:06,359 --> 00:25:10,639
Speaker 1: makes it so weird. I'm like, it's intentional, but unintentional.

517
00:25:10,680 --> 00:25:12,399
Speaker 1: But he intended to do it, but not to the

518
00:25:12,440 --> 00:25:15,439
Speaker 1: point where he wanted to be like the person that

519
00:25:15,440 --> 00:25:17,840
Speaker 1: they could lay all the blame on for a recession,

520
00:25:17,960 --> 00:25:21,119
Speaker 1: which I'm sorry, sir, you still are so miss us

521
00:25:21,119 --> 00:25:24,119
Speaker 1: all with this shit. The scary part about this is

522
00:25:24,160 --> 00:25:27,199
Speaker 1: a how wilfully ignorant people in finance are and be

523
00:25:27,800 --> 00:25:29,640
Speaker 1: like the stories we're reading about how the White House

524
00:25:29,680 --> 00:25:32,840
Speaker 1: is managing Trump's moods. So for starters, we talked about

525
00:25:32,920 --> 00:25:35,719
Speaker 1: like all the MAGA influencers that were recently enraged at

526
00:25:35,720 --> 00:25:38,639
Speaker 1: all the money they lost, and some of like some

527
00:25:38,720 --> 00:25:41,320
Speaker 1: of the people too, like Bill Ackman, Jamie Diamond, all

528
00:25:41,359 --> 00:25:44,160
Speaker 1: these like heads of banks and mutual or hedge funds

529
00:25:44,200 --> 00:25:46,360
Speaker 1: and things like that. But you're hearing more and more

530
00:25:46,400 --> 00:25:49,159
Speaker 1: reporting on the fact that only now are like people

531
00:25:49,160 --> 00:25:51,879
Speaker 1: on Wall Street are beginning to question his mental state.

532
00:25:53,600 --> 00:25:55,800
Speaker 1: Quote in the last few days, we have had many

533
00:25:55,800 --> 00:25:59,639
Speaker 1: conversations with macro fan money. This is from Slate. In

534
00:25:59,640 --> 00:26:02,280
Speaker 1: the last few days, we had many conversations with macro

535
00:26:02,400 --> 00:26:05,439
Speaker 1: fund managers, wrote Tom Lee, the head of research at

536
00:26:05,480 --> 00:26:09,199
Speaker 1: the financial analysis firm FS Insights. And their concern is

537
00:26:09,240 --> 00:26:12,120
Speaker 1: that the White House is not acting rationally but rather

538
00:26:12,200 --> 00:26:15,199
Speaker 1: on ideology, and some even fear that this may not

539
00:26:15,320 --> 00:26:19,280
Speaker 1: even be ideologyally. Continued. A few have quietly wondered if

540
00:26:19,320 --> 00:26:21,240
Speaker 1: the president might be insane?

541
00:26:22,920 --> 00:26:25,280
Speaker 2: What has had to happen for you to not have

542
00:26:25,400 --> 00:26:26,760
Speaker 2: seen that till right now.

543
00:26:27,520 --> 00:26:30,639
Speaker 1: I think greed is truly a brain destroying affliction, you

544
00:26:30,680 --> 00:26:33,120
Speaker 1: know what I mean. These people have blinders on at

545
00:26:33,119 --> 00:26:36,800
Speaker 1: the expense of like ecological outcomes, societal outcomes to make

546
00:26:36,880 --> 00:26:42,080
Speaker 1: money that they can just fucking miss or ignore, willfully

547
00:26:42,119 --> 00:26:45,280
Speaker 1: ignore all of these signs that this guy rambles constantly,

548
00:26:45,280 --> 00:26:48,320
Speaker 1: has forty five minute brain farts on stage, swaying to

549
00:26:48,359 --> 00:26:53,879
Speaker 1: the fucking village people. And then now they're like, oh.

550
00:26:52,920 --> 00:26:56,840
Speaker 2: Everybody's greedy, everybody's coked out nuts, Like what are you

551
00:26:56,960 --> 00:26:57,679
Speaker 2: talking about?

552
00:26:58,080 --> 00:26:59,960
Speaker 1: This is fucking Wall Street. That's how you suppose to

553
00:27:00,280 --> 00:27:01,600
Speaker 1: be so wild.

554
00:27:01,680 --> 00:27:04,240
Speaker 4: Yeah, the weirdest part for me is that he's not

555
00:27:04,320 --> 00:27:07,359
Speaker 4: even good at business. I know, it's not even like

556
00:27:07,440 --> 00:27:10,479
Speaker 4: he's like was actually super good at business, and so

557
00:27:10,520 --> 00:27:12,720
Speaker 4: it's like, let's let's see what happens. It's like, no,

558
00:27:12,840 --> 00:27:14,240
Speaker 4: all his businesses failed.

559
00:27:14,520 --> 00:27:15,800
Speaker 1: Yeah, there's a lot. I think a lot of people

560
00:27:15,800 --> 00:27:18,359
Speaker 1: are mistaken correlation with causation here because a lot of

561
00:27:18,359 --> 00:27:21,320
Speaker 1: people said, well, in his first term, I made a

562
00:27:21,320 --> 00:27:24,320
Speaker 1: lot of money, and they're like, yeah, do you, and like,

563
00:27:24,400 --> 00:27:28,320
Speaker 1: but even there were there were people like with Wall

564
00:27:28,320 --> 00:27:30,840
Speaker 1: Street acumen that were part of the administration. They kept

565
00:27:30,880 --> 00:27:33,480
Speaker 1: him from his worst instincts, and I figured it would

566
00:27:33,520 --> 00:27:35,240
Speaker 1: just be the same thing. And you're like, are you

567
00:27:35,280 --> 00:27:38,399
Speaker 1: not reading every single indication that we've seen up until

568
00:27:38,440 --> 00:27:41,639
Speaker 1: now where there are no guardrails anymore, and you.

569
00:27:40,840 --> 00:27:43,520
Speaker 2: Report it was like, this is gonna be so much worse.

570
00:27:43,560 --> 00:27:44,400
Speaker 2: There's no one.

571
00:27:44,240 --> 00:27:47,560
Speaker 1: Around him to raise Yeah, this guy has lost it,

572
00:27:47,760 --> 00:27:50,320
Speaker 1: just so you know. And then the other part is

573
00:27:50,359 --> 00:27:52,480
Speaker 1: that all of the people around Trump are now like

574
00:27:52,560 --> 00:27:54,560
Speaker 1: have just been lying to his face over the last

575
00:27:54,600 --> 00:27:58,760
Speaker 1: week about how much people were loving the tariffs and

576
00:27:58,800 --> 00:28:01,040
Speaker 1: that all the news he's reading about markets is just

577
00:28:01,160 --> 00:28:04,600
Speaker 1: haters hating to like was prolonging the situation because they

578
00:28:04,600 --> 00:28:06,600
Speaker 1: didn't know what to do about this. And I think

579
00:28:06,640 --> 00:28:08,520
Speaker 1: this is seen most evidently through the words of the

580
00:28:08,560 --> 00:28:11,920
Speaker 1: Press Secretary Caroline Levitt, who basically it just lies during

581
00:28:12,520 --> 00:28:15,680
Speaker 1: like briefings because she's just performing for Trump. So he

582
00:28:15,720 --> 00:28:19,320
Speaker 1: doesn't like get upset because two days ago said everybody

583
00:28:19,359 --> 00:28:21,320
Speaker 1: in Washington, whether they want to admit it or not,

584
00:28:21,640 --> 00:28:24,400
Speaker 1: knows that this president is right when it comes to tariffs,

585
00:28:24,560 --> 00:28:27,960
Speaker 1: Like that is purely that's for Trump to watch on TV.

586
00:28:28,480 --> 00:28:31,360
Speaker 2: And she really had to reboot her because her circuit's.

587
00:28:30,920 --> 00:28:34,439
Speaker 1: Gotten yeah, someone spilled too much juice on her circuit

588
00:28:34,440 --> 00:28:36,920
Speaker 1: board and now it's getting wacky.

589
00:28:37,440 --> 00:28:40,240
Speaker 2: This is a direct appeal for me to USh of ants.

590
00:28:40,840 --> 00:28:46,520
Speaker 2: You don't have to do go in there, go in there.

591
00:28:46,920 --> 00:28:50,200
Speaker 2: I know she's totally complicit, but no, I say, but you.

592
00:28:50,120 --> 00:28:53,440
Speaker 1: Can tell it's fucking her up. She looks so dead inside.

593
00:28:53,560 --> 00:28:56,000
Speaker 1: Every time. I'm like, woh, girl, we made a deal

594
00:28:56,080 --> 00:28:58,000
Speaker 1: with the devil baby. And it's not.

595
00:29:00,120 --> 00:29:03,360
Speaker 4: Someone who's not even respected. So it's like, yeah, like,

596
00:29:03,400 --> 00:29:05,200
Speaker 4: it's not even like you are with the cool guy.

597
00:29:05,320 --> 00:29:07,040
Speaker 4: You're with the guy that's the butt of the joke

598
00:29:07,200 --> 00:29:10,240
Speaker 4: of the of the party that's ruining the world right.

599
00:29:10,480 --> 00:29:13,200
Speaker 1: And you're like also making excuses for people that are

600
00:29:13,240 --> 00:29:14,800
Speaker 1: in orbit of the White House that are saying like

601
00:29:14,840 --> 00:29:19,360
Speaker 1: we need to normalize Indian hate. And she's like, I'm

602
00:29:19,440 --> 00:29:22,440
Speaker 1: sure he didn't mean it like that, Like these are

603
00:29:22,440 --> 00:29:23,480
Speaker 1: the people that work for.

604
00:29:23,480 --> 00:29:26,400
Speaker 2: Dogs for telling her kids, I'm sure daddy didn't mean

605
00:29:26,400 --> 00:29:26,840
Speaker 2: it like that.

606
00:29:27,080 --> 00:29:32,480
Speaker 1: It's Finney, truly well that internalized white supremacy. It'll do

607
00:29:32,560 --> 00:29:35,360
Speaker 1: it number on you. But again, I think it's important

608
00:29:35,360 --> 00:29:37,720
Speaker 1: to point out now that the there is a pause.

609
00:29:38,400 --> 00:29:40,880
Speaker 1: Now American families are only looking about an average of

610
00:29:40,920 --> 00:29:45,440
Speaker 1: twenty five hundred dollars in increased costs across the board.

611
00:29:45,640 --> 00:29:48,800
Speaker 2: So and I am happy to pay that for America,

612
00:29:49,360 --> 00:29:55,160
Speaker 2: and I'm willing to be unable to afford eggs. It's fine.

613
00:29:55,760 --> 00:29:56,840
Speaker 2: I'll get chickens.

614
00:29:57,240 --> 00:30:01,160
Speaker 1: I'll oh, I'll get chickens. Know what to do about.

615
00:30:01,320 --> 00:30:04,080
Speaker 2: One bedroom home with our.

616
00:30:04,160 --> 00:30:07,720
Speaker 4: Six kids, I'll get It's just I mean, like you

617
00:30:07,800 --> 00:30:10,920
Speaker 4: for solving the birthing crisis.

618
00:30:09,880 --> 00:30:13,720
Speaker 2: Well, I mean, like there's white kids.

619
00:30:14,000 --> 00:30:17,320
Speaker 1: There's reports like also that the White House is claiming

620
00:30:17,360 --> 00:30:19,760
Speaker 1: that they have polling data that shows that they're not

621
00:30:19,880 --> 00:30:22,480
Speaker 1: losing the working class. And there's there's a poll from

622
00:30:22,600 --> 00:30:24,560
Speaker 1: last week. We don't we haven't even seen what people

623
00:30:24,560 --> 00:30:28,080
Speaker 1: are feeling this week, but from last week where only

624
00:30:28,240 --> 00:30:31,520
Speaker 1: non college white male voters were the people that were

625
00:30:31,560 --> 00:30:34,480
Speaker 1: like in the majority of believing that tariffs were beneficial

626
00:30:34,680 --> 00:30:37,320
Speaker 1: by forty four to forty two percent, so not even

627
00:30:37,400 --> 00:30:41,880
Speaker 1: like runaway, whereas like even non college white women were

628
00:30:41,880 --> 00:30:45,480
Speaker 1: like tariffs are bad. Every non white, non college voter,

629
00:30:45,840 --> 00:30:49,200
Speaker 1: just as a huge majority was like this is fuck shit,

630
00:30:49,800 --> 00:30:50,800
Speaker 1: this is gonna fuck me.

631
00:30:50,880 --> 00:30:53,720
Speaker 2: What do you They were staring at were like barbershop polls.

632
00:30:53,720 --> 00:30:54,680
Speaker 2: They were just getting lost.

633
00:30:56,080 --> 00:31:01,640
Speaker 1: Well, it never ends, It loops around, what kind of references.

634
00:31:02,160 --> 00:31:04,120
Speaker 2: I reverend of a bob a shop court head, I'm

635
00:31:04,160 --> 00:31:05,080
Speaker 2: too young and beautiful.

636
00:31:05,800 --> 00:31:09,040
Speaker 1: Not me, fella, I'm twenty two years old. Now let's

637
00:31:09,040 --> 00:31:13,320
Speaker 1: seeing blue moon and be flat. So yeah, we will

638
00:31:13,360 --> 00:31:16,800
Speaker 1: continue to see what's going on. Look, I think Democrats

639
00:31:16,840 --> 00:31:19,800
Speaker 1: at the moment are still not sure where their souls are.

640
00:31:19,840 --> 00:31:21,600
Speaker 1: There are a lot of the things I've seen come

641
00:31:21,640 --> 00:31:24,720
Speaker 1: out of members of Congress. Are them like, yes, anding

642
00:31:25,080 --> 00:31:27,840
Speaker 1: what Trump's talking about, Like they're still trying to appeal

643
00:31:27,880 --> 00:31:30,600
Speaker 1: to the Trump voting independent with their words, rather than

644
00:31:30,680 --> 00:31:33,200
Speaker 1: like this is all nonsense. You're like, no, it is true.

645
00:31:33,560 --> 00:31:36,280
Speaker 1: President Trump is right that we do need to correct

646
00:31:36,320 --> 00:31:39,120
Speaker 1: some things in terms of trade imbalances and things like

647
00:31:39,200 --> 00:31:43,000
Speaker 1: monetary manipulation. But but just not like this, And you're

648
00:31:43,000 --> 00:31:46,160
Speaker 1: like this is the worst You're not. That doesn't even

649
00:31:46,160 --> 00:31:48,160
Speaker 1: sound like opposition. You just sound like a person in

650
00:31:48,200 --> 00:31:50,960
Speaker 1: the Republican Party that disagrees with the president. This is

651
00:31:51,000 --> 00:31:54,640
Speaker 1: not opposition. The messaging is so clear. They are redistributing

652
00:31:54,680 --> 00:31:57,760
Speaker 1: wealth to the up the highest levels, and they are

653
00:31:57,800 --> 00:32:01,320
Speaker 1: taking away your money right now, they are taking our money,

654
00:32:01,360 --> 00:32:04,680
Speaker 1: our futures. How are elderly family members going to get

655
00:32:04,680 --> 00:32:07,120
Speaker 1: by when they vaporized things like Medicaid and Social Security?

656
00:32:07,320 --> 00:32:09,959
Speaker 1: Like this is I don't understand what they're like. I mean,

657
00:32:10,000 --> 00:32:13,280
Speaker 1: he does have a point. No, he fucking doesn't just

658
00:32:13,360 --> 00:32:16,360
Speaker 1: get to thee that.

659
00:32:16,280 --> 00:32:18,959
Speaker 4: You that you guys are close with who support Trump.

660
00:32:21,240 --> 00:32:24,959
Speaker 1: I'm not like close to, but definitely I have family

661
00:32:25,000 --> 00:32:29,080
Speaker 1: members that are in relationships with people like that, and

662
00:32:29,160 --> 00:32:29,720
Speaker 1: everyone's like.

663
00:32:30,320 --> 00:32:34,360
Speaker 2: I have cousins who are not in this country and

664
00:32:34,600 --> 00:32:36,960
Speaker 2: would not be able to vote that are like send

665
00:32:36,960 --> 00:32:41,520
Speaker 2: me maga merch. Like in the chat, I'm like, bro,

666
00:32:41,720 --> 00:32:44,680
Speaker 2: you have your own fascists like starting at home, Like

667
00:32:44,720 --> 00:32:45,440
Speaker 2: what are you doing?

668
00:32:45,760 --> 00:32:50,200
Speaker 4: Yeah, it's wondering if, like if their opinions have changed

669
00:32:50,200 --> 00:32:51,320
Speaker 4: at all with this.

670
00:32:51,760 --> 00:32:53,960
Speaker 2: I haven't talked to him in a long time.

671
00:32:54,240 --> 00:32:56,960
Speaker 1: Yeah, I mean, like, I had one friend who voted

672
00:32:57,040 --> 00:33:00,560
Speaker 1: for like always voted for Bush and then voted for

673
00:33:00,720 --> 00:33:05,719
Speaker 1: Romney when Trump came. They couldn't quite get there, but

674
00:33:05,760 --> 00:33:08,880
Speaker 1: they still voted for other Republicans in Congress, and then

675
00:33:08,880 --> 00:33:11,560
Speaker 1: they were so turned off by the first administration they're like, yeah,

676
00:33:11,600 --> 00:33:14,120
Speaker 1: I'm never voting for Republicans. Again, that was like the

677
00:33:14,160 --> 00:33:16,640
Speaker 1: person closest to me that I'm like actually friends with.

678
00:33:16,720 --> 00:33:20,400
Speaker 1: That was their whole evolution, but that happened way earlier.

679
00:33:21,560 --> 00:33:24,520
Speaker 1: True believers. I feel like those that group of people

680
00:33:24,520 --> 00:33:29,400
Speaker 1: are like some of my friend's parents and they're they're

681
00:33:29,480 --> 00:33:31,680
Speaker 1: still i think, having trouble coming around to cause like

682
00:33:31,720 --> 00:33:34,280
Speaker 1: their retirement age, and they saw what happened this week,

683
00:33:34,320 --> 00:33:35,680
Speaker 1: and I haven't asked her. I'm like, dude, what's your

684
00:33:36,000 --> 00:33:38,280
Speaker 1: what are your parents saying right now? And they're like,

685
00:33:38,320 --> 00:33:40,360
Speaker 1: they think it's they think it's going to get fixed.

686
00:33:40,880 --> 00:33:41,760
Speaker 2: Yeah, I think that must.

687
00:33:41,880 --> 00:33:43,840
Speaker 4: I think it's like them believing that it is a

688
00:33:43,880 --> 00:33:47,480
Speaker 4: master plan and that like that this is that he's

689
00:33:47,520 --> 00:33:50,440
Speaker 4: so like they have to believe that he's smarter than he.

690
00:33:50,520 --> 00:33:53,600
Speaker 2: Is because is like the definition of a cult, Like.

691
00:33:53,600 --> 00:33:56,520
Speaker 1: Oh yeah sure. But I think the one thing that

692
00:33:56,600 --> 00:33:59,160
Speaker 1: was interesting is that with last weekend, when the tariffs

693
00:33:59,200 --> 00:34:00,960
Speaker 1: went into place and peoples four h one k's and

694
00:34:01,040 --> 00:34:03,200
Speaker 1: retirement funds like took a huge hit, a lot of

695
00:34:03,240 --> 00:34:05,880
Speaker 1: people said why is he doing? Like Republicans are like

696
00:34:05,960 --> 00:34:08,480
Speaker 1: not saying he needs to stop, but their first question

697
00:34:08,560 --> 00:34:12,040
Speaker 1: was like why is this necessary, which is usually don't

698
00:34:12,200 --> 00:34:15,480
Speaker 1: question the cult leader. But I think, I mean this,

699
00:34:15,640 --> 00:34:18,080
Speaker 1: as long as the you know, economy is in the

700
00:34:18,160 --> 00:34:20,439
Speaker 1: going in the direction that it is, people are going

701
00:34:20,480 --> 00:34:22,279
Speaker 1: to feel it. And unfortunately that's the only way people

702
00:34:22,320 --> 00:34:23,680
Speaker 1: learn lessons in this country. Like they can.

703
00:34:23,800 --> 00:34:25,840
Speaker 2: I don't even think they will. I mean, you remember

704
00:34:25,880 --> 00:34:29,279
Speaker 2: the people on ventilators who were pissed about COVID like

705
00:34:29,360 --> 00:34:31,719
Speaker 2: as they were dying. Like sure, but I think people

706
00:34:31,719 --> 00:34:32,480
Speaker 2: are just going to go down.

707
00:34:32,760 --> 00:34:35,600
Speaker 1: I think it's like the number of retirees, that group

708
00:34:35,640 --> 00:34:38,239
Speaker 1: of people who are looking at their retirement funds and

709
00:34:38,280 --> 00:34:40,319
Speaker 1: what they think their future is, like they can get

710
00:34:40,360 --> 00:34:43,120
Speaker 1: touched across the board versus people that might have like

711
00:34:43,200 --> 00:34:47,040
Speaker 1: being you know, compromised or all those other medical complications.

712
00:34:47,280 --> 00:34:49,960
Speaker 1: But yeah, I'm not even saying like just wait for it,

713
00:34:50,000 --> 00:34:51,920
Speaker 1: but I feel like that's really the only thing that

714
00:34:51,960 --> 00:34:55,400
Speaker 1: I can potentially see them being like, wait, but my

715
00:34:55,560 --> 00:34:59,800
Speaker 1: money to doom Boomer Heaven death I have. I can't

716
00:34:59,800 --> 00:35:01,680
Speaker 1: do it. I want to be lying down.

717
00:35:03,080 --> 00:35:03,680
Speaker 2: In the sky.

718
00:35:04,239 --> 00:35:05,080
Speaker 1: Yeah exactly.

719
00:35:05,560 --> 00:35:06,560
Speaker 2: I feel like it's the people.

720
00:35:06,600 --> 00:35:08,799
Speaker 4: It's not the people that like identify as MAGA, but

721
00:35:08,840 --> 00:35:10,759
Speaker 4: the people that voted for him, because you'd be better

722
00:35:10,800 --> 00:35:11,759
Speaker 4: for the economy.

723
00:35:12,160 --> 00:35:13,520
Speaker 2: Those are the people we'll get back.

724
00:35:14,760 --> 00:35:16,920
Speaker 1: Yeah, And I think you tell those people look at

725
00:35:16,920 --> 00:35:20,279
Speaker 1: your fucking whatever, whatever money you had that was tied

726
00:35:20,280 --> 00:35:22,320
Speaker 1: to the stock market, whether it's you had a stockport

727
00:35:22,320 --> 00:35:24,680
Speaker 1: folio or your retirement. I'm like, it's it's not going

728
00:35:24,760 --> 00:35:27,000
Speaker 1: to go up right now. It's the damage.

729
00:35:27,719 --> 00:35:30,320
Speaker 2: Have a four oh one K from my science jobs

730
00:35:30,360 --> 00:35:33,719
Speaker 2: from back in the day, and I am not logging in,

731
00:35:33,920 --> 00:35:39,799
Speaker 2: baby logged out. I don't need to know. Nobody needs

732
00:35:39,880 --> 00:35:40,840
Speaker 2: to know those numbers.

733
00:35:41,040 --> 00:35:43,360
Speaker 1: I don't need to It won't matter. We'll all be

734
00:35:43,440 --> 00:35:48,880
Speaker 1: toiling in the content farms or something. Yeah, AI to

735
00:35:48,960 --> 00:35:53,080
Speaker 1: spit out listicles. All right, let's talk about just right

736
00:35:53,120 --> 00:35:56,040
Speaker 1: wing men because they're they're doing Okay.

737
00:35:55,840 --> 00:35:58,200
Speaker 2: They don't get enough attention. We got to talk about.

738
00:35:58,680 --> 00:36:00,399
Speaker 1: This is just one of those. Okay, I just want

739
00:36:00,400 --> 00:36:02,440
Speaker 1: to play this clip because it's just it's a it's

740
00:36:02,480 --> 00:36:05,640
Speaker 1: a journey. So there's this pastor, I'm gonna use a

741
00:36:05,719 --> 00:36:11,280
Speaker 1: term pastor, This ethno nationalist, fucking nazi Andrew Isker from Tennessee.

742
00:36:11,680 --> 00:36:14,680
Speaker 1: He's one of these weird ass Christian nationalists who like

743
00:36:14,760 --> 00:36:17,000
Speaker 1: wants to misinterpret the Bible to be like yeah, and

744
00:36:17,000 --> 00:36:20,600
Speaker 1: that's why, guys, there's racism this Bible verse. He was

745
00:36:20,600 --> 00:36:22,279
Speaker 1: also in the news like last year for trying to

746
00:36:22,280 --> 00:36:25,120
Speaker 1: set up shop in a small Tennessee town and trying

747
00:36:25,120 --> 00:36:27,080
Speaker 1: to turn it into like a breeding ground for hate

748
00:36:27,120 --> 00:36:31,080
Speaker 1: and and like bring more Christian nationalists to the to

749
00:36:31,160 --> 00:36:33,400
Speaker 1: the fold and like he said, I wanted to like

750
00:36:33,920 --> 00:36:37,200
Speaker 1: radicalize Maiden Street. That doesn't seem to be working out

751
00:36:37,200 --> 00:36:40,160
Speaker 1: too well. But during one of his podcasts, of course,

752
00:36:40,360 --> 00:36:43,120
Speaker 1: of course, because everyone's a fucking podcaster, I think I

753
00:36:43,120 --> 00:36:47,880
Speaker 1: need to stop podcasting. They were bringing up like the

754
00:36:48,280 --> 00:36:51,200
Speaker 1: con something there. They were started talking about like civil liberties,

755
00:36:51,600 --> 00:36:55,920
Speaker 1: and with this we got like an interesting take on

756
00:36:56,520 --> 00:37:00,840
Speaker 1: basically how Andrew Isker, you know, how he prevents turning

757
00:37:00,920 --> 00:37:02,000
Speaker 1: gay at the airport.

758
00:37:02,520 --> 00:37:06,840
Speaker 2: Mm hmm. I always worry about that. That's my biggest

759
00:37:06,880 --> 00:37:07,800
Speaker 2: fear at the airport.

760
00:37:07,840 --> 00:37:12,600
Speaker 1: I mean, just listen to that's just just I take this.

761
00:37:13,320 --> 00:37:15,479
Speaker 3: Where was the Constitution when the Patriot Act was Act

762
00:37:15,560 --> 00:37:18,160
Speaker 3: was passed? Give me a break, Like I had to

763
00:37:18,200 --> 00:37:20,760
Speaker 3: be molested at the airport, uh to go to Florida

764
00:37:21,280 --> 00:37:22,640
Speaker 3: right just to get on an airplane because I'm not

765
00:37:22,680 --> 00:37:26,239
Speaker 3: going to go through the the gay beam machine. I

766
00:37:26,239 --> 00:37:28,120
Speaker 3: didn't let CEJ do it. I wouldn't let him do it.

767
00:37:28,200 --> 00:37:31,399
Speaker 3: Uh said, you're getting padded down to buddy, I don't

768
00:37:31,440 --> 00:37:32,520
Speaker 3: want them turning you gay.

769
00:37:34,080 --> 00:37:34,680
Speaker 1: Long pause.

770
00:37:35,800 --> 00:37:40,040
Speaker 3: Uh, it appears how a guy touched all over the

771
00:37:40,040 --> 00:37:42,040
Speaker 3: place is uh, on.

772
00:37:42,040 --> 00:37:43,240
Speaker 1: Its face seems worse.

773
00:37:44,719 --> 00:37:48,040
Speaker 3: But you don't really know what's going on, what those

774
00:37:48,080 --> 00:37:51,040
Speaker 3: things are doing to you. So where the imaging goes Yeah,

775
00:37:51,040 --> 00:37:54,200
Speaker 3: because it's like yeah, like yeah, who they can just

776
00:37:54,200 --> 00:37:55,040
Speaker 3: take a picture of me?

777
00:37:57,520 --> 00:37:57,840
Speaker 1: Okay.

778
00:37:57,880 --> 00:37:59,880
Speaker 2: First of all, if I had known there was a

779
00:38:00,040 --> 00:38:02,240
Speaker 2: being to turn people gay, I would have been using

780
00:38:02,280 --> 00:38:03,200
Speaker 2: it so much.

781
00:38:05,200 --> 00:38:08,600
Speaker 1: I would have been like pee like gamy Gary all day.

782
00:38:08,800 --> 00:38:11,000
Speaker 2: Oh my god, we have this technology.

783
00:38:11,160 --> 00:38:12,960
Speaker 1: Yeah, yeah, let's fucking go.

784
00:38:16,160 --> 00:38:19,719
Speaker 4: Do you think he's just starved for touch and he

785
00:38:20,560 --> 00:38:23,280
Speaker 4: just like really was like I gotta have a human interaction.

786
00:38:23,400 --> 00:38:26,600
Speaker 2: And I think he does a TSA check involve a hug.

787
00:38:29,160 --> 00:38:31,879
Speaker 1: I don't. I mean, I'm just.

788
00:38:33,400 --> 00:38:35,000
Speaker 2: Get molested at the airport.

789
00:38:35,760 --> 00:38:38,160
Speaker 1: Weird way to also say you get off on the

790
00:38:38,200 --> 00:38:41,319
Speaker 1: pat down at the security checkpoint. I mean it must

791
00:38:41,360 --> 00:38:44,960
Speaker 1: be terrifying inside his mind if you are your fucking

792
00:38:45,000 --> 00:38:47,359
Speaker 1: grip on you being straight. It is like dude, I'm

793
00:38:47,400 --> 00:38:49,839
Speaker 1: gonna fucking walk in the thing and then the thing

794
00:38:49,880 --> 00:38:52,640
Speaker 1: goes and I get out and I'm gay.

795
00:38:52,840 --> 00:38:55,440
Speaker 2: Dude, that's like the only thing he's like that. It

796
00:38:55,560 --> 00:38:57,480
Speaker 2: has to be that, because why every time have I

797
00:38:57,520 --> 00:38:59,600
Speaker 2: walked through it that I turn gay. I go to

798
00:38:59,640 --> 00:39:02,520
Speaker 2: my I hang out at the clubs making out with

799
00:39:02,560 --> 00:39:06,120
Speaker 2: a dude. It's gotta be the beam. Gotta be the beam.

800
00:39:05,960 --> 00:39:08,040
Speaker 4: I'm not gay when I don't travel, right.

801
00:39:08,120 --> 00:39:10,520
Speaker 1: Yeah, I go to Palm Springs in June just to

802
00:39:10,560 --> 00:39:12,520
Speaker 1: hang out with some of my boys. You know, during

803
00:39:12,560 --> 00:39:14,680
Speaker 1: Pride out there, I turned gay. I don't know what

804
00:39:14,800 --> 00:39:18,400
Speaker 1: happens to me every time I go down. It's like

805
00:39:18,520 --> 00:39:21,879
Speaker 1: so it's just again, it's so horrifying because so many

806
00:39:21,920 --> 00:39:24,160
Speaker 1: of these people, like on their face, have just such

807
00:39:24,160 --> 00:39:28,600
Speaker 1: a wacky relationship with their sexuality and just the concept

808
00:39:28,680 --> 00:39:32,320
Speaker 1: of it in general, and like these are somehow emerging

809
00:39:32,320 --> 00:39:36,000
Speaker 1: thought leaders in very small niches. But anyway, I just

810
00:39:36,040 --> 00:39:37,800
Speaker 1: wanted to make sure he was he was fine.

811
00:39:38,040 --> 00:39:43,440
Speaker 2: If they if they dust my my hands for bomb stuff,

812
00:39:43,800 --> 00:39:47,560
Speaker 2: like I'm gonna go trance, dude, I'm gonna go if

813
00:39:47,640 --> 00:39:53,360
Speaker 2: they can you imagine the whole spectrum of being LGBTQ

814
00:39:53,600 --> 00:39:55,520
Speaker 2: is just at the airport security.

815
00:39:55,640 --> 00:39:57,160
Speaker 1: Yeah, I wonder though, he did say it's like I

816
00:39:57,160 --> 00:39:59,040
Speaker 1: don't want somebody taking a picture of me all naked.

817
00:39:59,400 --> 00:40:01,400
Speaker 1: I'm like, is is that it too? Are you also

818
00:40:01,480 --> 00:40:05,080
Speaker 1: humiliated by the thought of your own body? What's going on?

819
00:40:05,200 --> 00:40:09,080
Speaker 1: What's going on, Andrew? Actually, I don't care. But avoid

820
00:40:09,080 --> 00:40:11,680
Speaker 1: the beams, beloved, Avoid the beams.

821
00:40:11,920 --> 00:40:15,400
Speaker 4: It's that same like arrogance, where like every man is

822
00:40:15,440 --> 00:40:18,560
Speaker 4: like any gay guy would be obsessed with me and me.

823
00:40:18,760 --> 00:40:21,600
Speaker 4: It's like, of all the people that go through this machine,

824
00:40:21,640 --> 00:40:28,400
Speaker 4: they want to save my naked image.

825
00:40:25,719 --> 00:40:28,040
Speaker 1: You know, dude, you know they do. Man, they see

826
00:40:28,080 --> 00:40:29,919
Speaker 1: my mustache, they know what's up.

827
00:40:30,680 --> 00:40:34,400
Speaker 2: That's what they see, the mustache image. It's just skeleton

828
00:40:34,480 --> 00:40:36,080
Speaker 2: and skeleton in the hair.

829
00:40:36,600 --> 00:40:41,879
Speaker 1: You're like, whoa, because those things are not even X rays, right,

830
00:40:42,120 --> 00:40:43,799
Speaker 1: It's like, I don't know, I don't understand. I think

831
00:40:43,840 --> 00:40:45,680
Speaker 1: it's like kind of like an IR scan. That's just

832
00:40:45,760 --> 00:40:47,239
Speaker 1: kind of it's it's not.

833
00:40:47,200 --> 00:40:51,400
Speaker 2: Actually I'm taking notes how to make a gay beamy go.

834
00:40:53,440 --> 00:40:55,160
Speaker 1: Oh yeah, I mean like it kind of guess looks

835
00:40:55,200 --> 00:40:59,200
Speaker 1: through your clothes. Oh cool, Yeah, it's not an X ray.

836
00:40:59,320 --> 00:41:02,439
Speaker 1: But anyway, there are if it wasn't they have something.

837
00:41:02,560 --> 00:41:04,760
Speaker 2: You know, how many people would go to the airport

838
00:41:04,800 --> 00:41:08,879
Speaker 2: for medical care like that would be insane, Like it's

839
00:41:08,920 --> 00:41:10,040
Speaker 2: so much easier.

840
00:41:10,440 --> 00:41:12,600
Speaker 1: My lungs on my lum up here down here, I.

841
00:41:12,520 --> 00:41:14,920
Speaker 2: Just fell on my arm. Yeah, I can't get an

842
00:41:14,920 --> 00:41:16,280
Speaker 2: appointment for three months.

843
00:41:16,400 --> 00:41:18,399
Speaker 1: Do you might looking at my hip joint really quick?

844
00:41:19,560 --> 00:41:20,920
Speaker 1: I think I have a bomb in there.

845
00:41:20,960 --> 00:41:24,200
Speaker 2: They actually think that's a hundred. They should put doctors

846
00:41:24,200 --> 00:41:28,480
Speaker 2: in the airport and they become tsa. There was that

847
00:41:28,640 --> 00:41:31,240
Speaker 2: meme of like cops should just start picking up trash

848
00:41:31,280 --> 00:41:33,920
Speaker 2: from like that Seinfeld bit, like if they're just standing

849
00:41:33,960 --> 00:41:36,960
Speaker 2: around it. I think doctors should be at the airport

850
00:41:37,040 --> 00:41:37,680
Speaker 2: as well.

851
00:41:38,040 --> 00:41:39,879
Speaker 1: Just to do something. Oh, oh, sir, you might want

852
00:41:39,880 --> 00:41:42,400
Speaker 1: to get something. I just just a quick scan. Obviously

853
00:41:42,400 --> 00:41:45,000
Speaker 1: this wasn't a medical X ray, but I would maybe

854
00:41:45,040 --> 00:41:46,920
Speaker 1: just go to your primary care physician just to look

855
00:41:46,920 --> 00:41:47,719
Speaker 1: at something on your back.

856
00:41:47,760 --> 00:41:50,320
Speaker 2: Okay, I found out I was pregnant from the gay beam.

857
00:41:50,760 --> 00:41:56,200
Speaker 1: Yeah, the gay beam made me pregnant. Okay, wow, quite

858
00:41:56,200 --> 00:41:56,520
Speaker 1: a beam.

859
00:41:56,640 --> 00:41:58,840
Speaker 4: You care about that girl who is like watching a

860
00:41:58,880 --> 00:42:02,160
Speaker 4: hockey game and she noticed the mole on some player's

861
00:42:02,239 --> 00:42:05,000
Speaker 4: neck and made a sign and she like saved his life.

862
00:42:05,560 --> 00:42:07,759
Speaker 1: That happens a lot. This also happened to somebody on

863
00:42:07,800 --> 00:42:10,040
Speaker 1: a reality show where they thought they might have had

864
00:42:10,040 --> 00:42:12,440
Speaker 1: some kind of thyroid thing happening because they were looking

865
00:42:12,480 --> 00:42:14,319
Speaker 1: at or it was something to do with they had

866
00:42:14,320 --> 00:42:17,640
Speaker 1: a small, very subtle bulge on their neck, like under

867
00:42:17,680 --> 00:42:20,160
Speaker 1: their skin, and someone's like just spamming their comments like

868
00:42:20,160 --> 00:42:21,759
Speaker 1: you should really get this checked out, and they're like,

869
00:42:21,960 --> 00:42:24,600
Speaker 1: I absolutely had a thing that I like. I'm like,

870
00:42:24,719 --> 00:42:25,600
Speaker 1: I thank you so much.

871
00:42:26,080 --> 00:42:27,640
Speaker 2: Oh that's wild.

872
00:42:27,719 --> 00:42:29,759
Speaker 1: Look, we're our own best doctors. Yeah.

873
00:42:30,080 --> 00:42:34,240
Speaker 2: Yeah, I do my own research. I got my own healthcare.

874
00:42:34,280 --> 00:42:35,399
Speaker 2: It's called GoFundMe.

875
00:42:35,560 --> 00:42:39,640
Speaker 1: Okay, exactly, exactly. All right, let's take another break. We'll

876
00:42:39,680 --> 00:42:42,000
Speaker 1: come back. And I got asked the question if dire

877
00:42:42,040 --> 00:42:44,879
Speaker 1: wolves are back, are they? Is it a dire wolf?

878
00:42:44,920 --> 00:42:46,680
Speaker 1: What is this epen? We'll do that right after this,

879
00:42:57,080 --> 00:43:01,840
Speaker 1: and we're back. The dire wolf back or not so.

880
00:43:02,120 --> 00:43:05,719
Speaker 1: Earlier this week, a biotech company called Colossal announced that

881
00:43:05,760 --> 00:43:09,040
Speaker 1: they have brought the dire wolf, which has been extinct

882
00:43:09,120 --> 00:43:12,960
Speaker 1: for about ten thousand years, back from extinction. It is

883
00:43:13,000 --> 00:43:16,719
Speaker 1: now de extinct, as they keep saying, more than a

884
00:43:16,719 --> 00:43:19,040
Speaker 1: few and yes when you're if you're asking the dire

885
00:43:19,200 --> 00:43:21,799
Speaker 1: yeah from Game of Thrones, same fucking thing. More than

886
00:43:21,840 --> 00:43:25,239
Speaker 1: a few outside researchers express their skepticism, and they're noting

887
00:43:25,280 --> 00:43:28,520
Speaker 1: that using like ancient DNA not really useful for this

888
00:43:28,680 --> 00:43:31,279
Speaker 1: kind of context because it's so damaged, and noted that

889
00:43:31,320 --> 00:43:34,480
Speaker 1: the process this company used is more like a remix

890
00:43:34,640 --> 00:43:38,719
Speaker 1: if anything. So they used synthetic biology technology, this from

891
00:43:38,760 --> 00:43:41,840
Speaker 1: the BBC, using the ancient DNA to identify key segments

892
00:43:41,880 --> 00:43:45,040
Speaker 1: of code that they could edit into the biological blueprint

893
00:43:45,120 --> 00:43:47,960
Speaker 1: of a living animal, in this case, a gray wolf.

894
00:43:48,400 --> 00:43:51,279
Speaker 1: So what so this is from a person like one

895
00:43:51,280 --> 00:43:53,480
Speaker 1: of these people who doesn't work for Colossal. They say, quote, so,

896
00:43:53,520 --> 00:43:55,799
Speaker 1: what Colossal has produced is a gray wolf, but it

897
00:43:55,800 --> 00:43:58,440
Speaker 1: has some dire wolf like characteristics, like a larger skull

898
00:43:58,480 --> 00:44:01,160
Speaker 1: and white fur. It's a hybrid, it's not the it's

899
00:44:01,160 --> 00:44:02,759
Speaker 1: not a dire wolf. And like a lot of people

900
00:44:02,800 --> 00:44:05,799
Speaker 1: are like, this is so weird that they're insisting that

901
00:44:05,880 --> 00:44:09,960
Speaker 1: it they've brought this thing back, because you know, they're

902
00:44:09,960 --> 00:44:11,680
Speaker 1: like a lot of people when they look at how

903
00:44:11,719 --> 00:44:14,760
Speaker 1: I guess all these species branched off, like the closest

904
00:44:14,800 --> 00:44:16,560
Speaker 1: the gray wolf was to a dire wolf was like

905
00:44:16,680 --> 00:44:19,759
Speaker 1: millions of years ago. And to say that this is

906
00:44:19,800 --> 00:44:22,960
Speaker 1: now de extinct, as one research it put it, is

907
00:44:23,000 --> 00:44:26,120
Speaker 1: like sort of reckless because quote, extinction is still forever.

908
00:44:26,200 --> 00:44:28,600
Speaker 1: If we don't have extinction, how are we going to

909
00:44:28,719 --> 00:44:31,399
Speaker 1: learn from our mistakes? It's the is the message now

910
00:44:31,440 --> 00:44:33,400
Speaker 1: that we can go and destroy the environment and the

911
00:44:33,680 --> 00:44:36,120
Speaker 1: and that animals can go extinct, but we can simply

912
00:44:36,120 --> 00:44:36,839
Speaker 1: bring them back.

913
00:44:37,200 --> 00:44:40,240
Speaker 2: I do actually think that this is a dire wolf

914
00:44:40,320 --> 00:44:45,080
Speaker 2: because it does symbolize the dire times we are and

915
00:44:45,120 --> 00:44:47,640
Speaker 2: I think that's why it should be that name.

916
00:44:49,320 --> 00:44:52,320
Speaker 4: I'm surprised that like major media outlets are like saying

917
00:44:52,360 --> 00:44:53,920
Speaker 4: that they brought the dire wolf back.

918
00:44:54,120 --> 00:44:55,800
Speaker 2: It's like so clearly not true.

919
00:44:56,080 --> 00:44:59,200
Speaker 1: It feels like it feels like just like they're chumming

920
00:44:59,200 --> 00:45:03,000
Speaker 1: the waters for the like thirsty news consumers who don't

921
00:45:03,040 --> 00:45:05,799
Speaker 1: want to hear about how everything's going as ship and like, hey,

922
00:45:05,800 --> 00:45:07,560
Speaker 1: what if we said that thing from Game of Thrones

923
00:45:07,640 --> 00:45:10,320
Speaker 1: is real.

924
00:45:10,600 --> 00:45:11,520
Speaker 2: Can roll over?

925
00:45:12,040 --> 00:45:14,120
Speaker 1: Yeah, well one of them. There's like three of them,

926
00:45:14,200 --> 00:45:17,320
Speaker 1: and it's like Romulus, Remiss and Khalisi are the three?

927
00:45:17,680 --> 00:45:22,200
Speaker 2: No fucking way, really, m mm hmmm. That Kali is

928
00:45:22,239 --> 00:45:24,279
Speaker 2: about to burn ship down just when you trust her.

929
00:45:24,680 --> 00:45:26,560
Speaker 1: Yeah, and also why didn't they name it like one

930
00:45:26,560 --> 00:45:29,279
Speaker 1: of the dire wolf names, like if they're really down

931
00:45:29,320 --> 00:45:31,719
Speaker 1: with you know, the with with the culture. A lot

932
00:45:31,760 --> 00:45:34,000
Speaker 1: of people are pointing out. They're like, where's the fucking book?

933
00:45:34,080 --> 00:45:36,960
Speaker 1: George R. R And Martin, They're like, you literally brought

934
00:45:37,000 --> 00:45:42,040
Speaker 1: back dire Wolff. Can I can we get the book.

935
00:45:42,520 --> 00:45:50,640
Speaker 2: Or the rihanna of literature? We're waiting.

936
00:45:50,920 --> 00:45:54,360
Speaker 1: We can't just keep listening to remixes over and over again.

937
00:45:55,640 --> 00:45:59,279
Speaker 1: So yeah, I'm de extinct. Sure that does feel a

938
00:45:59,320 --> 00:46:02,560
Speaker 1: little wacky, Like I definitely feel like that. It's like

939
00:46:02,560 --> 00:46:07,759
Speaker 1: a slippery slope when our solutions to like ecological degradation

940
00:46:08,040 --> 00:46:10,080
Speaker 1: is like, well, if like shit just goes so bad,

941
00:46:10,120 --> 00:46:11,840
Speaker 1: we just bring it back to life rather than like

942
00:46:11,920 --> 00:46:13,320
Speaker 1: stopping the bleeding.

943
00:46:13,360 --> 00:46:17,600
Speaker 2: The scientists will be dead. Okay, maybe that's what's gonna happen.

944
00:46:18,200 --> 00:46:22,280
Speaker 2: You can't there's a point in which there's no return. Also, like, yeah,

945
00:46:22,280 --> 00:46:25,440
Speaker 2: thinking about this, I'm like, if they're just taking what

946
00:46:25,560 --> 00:46:28,560
Speaker 2: do they identify as the key segments of the DNA

947
00:46:28,800 --> 00:46:31,719
Speaker 2: that make it a dire wolf, Because I'm sure it's degraded,

948
00:46:32,000 --> 00:46:35,160
Speaker 2: and I'm sure, like I just don't if they're just

949
00:46:35,239 --> 00:46:39,080
Speaker 2: taking parts of the DNA and putting it into existing DNA,

950
00:46:39,280 --> 00:46:43,359
Speaker 2: I seriously doubt it's gonna be enough to characterize it

951
00:46:43,400 --> 00:46:45,960
Speaker 2: as such like, yeah, you know, one of the.

952
00:46:45,920 --> 00:46:50,240
Speaker 1: Things that are saying these ancient canids were like more related,

953
00:46:50,360 --> 00:46:53,640
Speaker 1: like the dire wolf's closer to a jackal if anything.

954
00:46:53,800 --> 00:46:55,480
Speaker 2: Yeah, it looks like a fucking jackal.

955
00:46:55,719 --> 00:46:58,719
Speaker 1: But again there, I think the whole thing that this

956
00:46:59,160 --> 00:47:01,799
Speaker 1: company is in seting on is that like, well, the

957
00:47:01,920 --> 00:47:07,799
Speaker 1: closest relative is a gray wolf. Therefore it is this

958
00:47:07,920 --> 00:47:11,840
Speaker 1: is the this is the dire wolf. But yeah, dire times,

959
00:47:11,960 --> 00:47:15,080
Speaker 1: I would say, the best way to describe it. Okay,

960
00:47:15,200 --> 00:47:17,560
Speaker 1: just one last thing, we just have to you know,

961
00:47:17,719 --> 00:47:21,520
Speaker 1: I hate throwing water on online conspiracy theories, but this one,

962
00:47:21,600 --> 00:47:23,600
Speaker 1: I feel like it's so dumb that I think we

963
00:47:23,640 --> 00:47:27,680
Speaker 1: should just don't believe it. Okay. So there's a lot

964
00:47:27,719 --> 00:47:30,719
Speaker 1: of conspiracy theories claiming that like Hitler survived World War

965
00:47:30,760 --> 00:47:34,400
Speaker 1: Two and didn't have a lead sandwich in the bunker

966
00:47:34,760 --> 00:47:38,200
Speaker 1: and he escaped to South America. Although that was a

967
00:47:38,200 --> 00:47:41,439
Speaker 1: bit in The Simpsons, that theory has been all over

968
00:47:41,520 --> 00:47:46,480
Speaker 1: social media this week because there's supposedly new declassified CIA

969
00:47:46,640 --> 00:47:51,920
Speaker 1: files confirming that quote the conspiracies are true. Just so

970
00:47:52,040 --> 00:47:53,879
Speaker 1: you know, if you ever see a tweet that says

971
00:47:53,920 --> 00:47:58,560
Speaker 1: the conspiracies are true, we can dismiss it out of him.

972
00:47:58,719 --> 00:48:00,640
Speaker 1: But I mean, fine, or.

973
00:48:00,680 --> 00:48:03,640
Speaker 2: Don't Are they doing this because they're like and that's

974
00:48:03,680 --> 00:48:06,480
Speaker 2: why we hate immigrants because one of them is Hitler

975
00:48:11,600 --> 00:48:12,200
Speaker 2: and Persevere.

976
00:48:12,320 --> 00:48:14,360
Speaker 1: You know, they're like, I just think he's an interesting

977
00:48:14,400 --> 00:48:15,520
Speaker 1: figure from history.

978
00:48:16,280 --> 00:48:20,440
Speaker 4: That's I think that's the way they kind of memorabilia.

979
00:48:20,719 --> 00:48:22,960
Speaker 1: Yeah, that's why I bought this SS knife.

980
00:48:23,080 --> 00:48:26,320
Speaker 2: Oh have you seen that clip from Succession where Tom

981
00:48:26,520 --> 00:48:30,160
Speaker 2: is like interviewing a candidate for something and he's like, hey,

982
00:48:30,280 --> 00:48:32,840
Speaker 2: just just quick question. Have you ever been associated with

983
00:48:32,880 --> 00:48:35,680
Speaker 2: the Nazi Party? And the guy's like what is this?

984
00:48:35,760 --> 00:48:37,279
Speaker 2: And then he's like have you ever read mind comp

985
00:48:37,280 --> 00:48:38,960
Speaker 2: And he's like, only like two or three times?

986
00:48:39,040 --> 00:48:39,200
Speaker 1: Yeah.

987
00:48:39,880 --> 00:48:42,799
Speaker 2: I love that scene so much. It's so good.

988
00:48:42,920 --> 00:48:45,160
Speaker 1: The name of that one episode, shit Show at the

989
00:48:45,160 --> 00:48:49,120
Speaker 1: Fuck Factory, I think really rang true. Oh my god, yep,

990
00:48:49,200 --> 00:48:51,440
Speaker 1: shit Show at the Fuck Factory. But it is so

991
00:48:51,520 --> 00:48:54,400
Speaker 1: it is true. The CIA investigated the possibility that Hitler

992
00:48:54,480 --> 00:48:56,600
Speaker 1: survived and moved to South America more in the sense

993
00:48:56,600 --> 00:49:00,720
Speaker 1: that they're like, let's just make sure their files concluded

994
00:49:00,760 --> 00:49:03,440
Speaker 1: a photo of the guy who was alleged to be Hitler,

995
00:49:03,520 --> 00:49:08,480
Speaker 1: a guy named Adolph Schitdelmeyer. And a lot of people

996
00:49:08,480 --> 00:49:11,040
Speaker 1: are like, bro, come on, you moved to Columbia and

997
00:49:11,040 --> 00:49:13,839
Speaker 1: then make your way to Argentina. You keep your mustache

998
00:49:13,880 --> 00:49:17,960
Speaker 1: and your first name, and you're and you're just just

999
00:49:18,000 --> 00:49:20,319
Speaker 1: getting by. Nobody knows you, okay.

1000
00:49:20,360 --> 00:49:22,279
Speaker 2: Well because normally when you get a disguise, you put

1001
00:49:22,280 --> 00:49:24,319
Speaker 2: a mustache on. So this guy maybe he had like

1002
00:49:24,320 --> 00:49:26,480
Speaker 2: a slightly larger mustache.

1003
00:49:25,920 --> 00:49:29,120
Speaker 1: Slightly thicker than his normal sort of like yeah, paint

1004
00:49:29,160 --> 00:49:34,560
Speaker 1: brush mustache. Another document suggested that an Argentinian spa hotel

1005
00:49:34,600 --> 00:49:37,760
Speaker 1: may have put Hitler up because the owners were Nazi supporters.

1006
00:49:37,840 --> 00:49:40,920
Speaker 1: I mean, that's I could. I sure that might be possible,

1007
00:49:40,960 --> 00:49:43,280
Speaker 1: but we know that he did not leave Berlin.

1008
00:49:43,440 --> 00:49:46,320
Speaker 2: Okay, Hitler, I know you've been here for a while

1009
00:49:46,520 --> 00:49:49,200
Speaker 2: and you're hiding and we love your ideology, but you

1010
00:49:49,320 --> 00:49:51,800
Speaker 2: got to clean up after yourself. I mean, come on,

1011
00:49:51,920 --> 00:49:52,120
Speaker 2: or at.

1012
00:49:52,120 --> 00:49:55,200
Speaker 1: Least let let are some of the housekeeping into to

1013
00:49:55,320 --> 00:49:58,200
Speaker 1: tidy up it smells awful. What are you doing with

1014
00:49:58,239 --> 00:49:59,200
Speaker 1: the problema?

1015
00:50:00,080 --> 00:50:02,239
Speaker 2: He's like Julia Massage was in that.

1016
00:50:02,840 --> 00:50:08,600
Speaker 1: Yeah. Yeah, Like when is like cats or something pissing everywhere,

1017
00:50:08,640 --> 00:50:13,360
Speaker 1: They're like the freaks of cat piss. I feel like

1018
00:50:13,400 --> 00:50:16,839
Speaker 1: Adolph is going he's he's eight off, is going through

1019
00:50:16,840 --> 00:50:18,279
Speaker 1: it in his suite right now. I don't know what

1020
00:50:18,280 --> 00:50:19,480
Speaker 1: to do. I don't know how to bring him.

1021
00:50:19,719 --> 00:50:24,319
Speaker 2: Keeps playing My Chemical Romance on loud. He's reading the

1022
00:50:24,320 --> 00:50:25,840
Speaker 2: Diary of Ann Frank because it's.

1023
00:50:25,719 --> 00:50:29,080
Speaker 1: Really yeah, he's like, oh my god, oh my god.

1024
00:50:33,840 --> 00:50:37,440
Speaker 1: The CIA documents just so as a note, they contain

1025
00:50:38,040 --> 00:50:41,560
Speaker 1: zero evidence that he survived. They also released the autopsy

1026
00:50:41,600 --> 00:50:44,800
Speaker 1: report that supports the historical record that he killed himself.

1027
00:50:45,160 --> 00:50:49,719
Speaker 1: Plus like these documents did classified eight years ago, and

1028
00:50:49,760 --> 00:50:52,000
Speaker 1: in the very first if you just if you don't

1029
00:50:52,040 --> 00:50:53,399
Speaker 1: just look at the part of like may have gone

1030
00:50:53,440 --> 00:50:55,279
Speaker 1: to Argentina that people are just assuming you on if

1031
00:50:55,320 --> 00:50:59,200
Speaker 1: you read the first paragraph of the documents, they basically say,

1032
00:50:59,520 --> 00:51:02,480
Speaker 1: oh yeah, there is basically nothing in here that could

1033
00:51:02,480 --> 00:51:04,640
Speaker 1: be verified. Just just before.

1034
00:51:04,400 --> 00:51:06,840
Speaker 2: You read this, I think I feel like if he

1035
00:51:07,040 --> 00:51:12,520
Speaker 2: was alive, he would have been verified on Twitter, you know, yeah.

1036
00:51:12,360 --> 00:51:14,600
Speaker 1: Yeah, he would have got that silver that silver check

1037
00:51:14,640 --> 00:51:16,920
Speaker 1: that only the politicians or the gold one. We're like, no,

1038
00:51:17,360 --> 00:51:20,040
Speaker 1: this is that's it, that's him. The other thing, though, too,

1039
00:51:20,239 --> 00:51:23,120
Speaker 1: is this is all coming out I think again, because

1040
00:51:23,239 --> 00:51:27,400
Speaker 1: Argentina is actually planning to class declassify files on the

1041
00:51:27,480 --> 00:51:31,440
Speaker 1: Nazi war criminals that really did escape to that region

1042
00:51:31,480 --> 00:51:34,000
Speaker 1: of the country. So I think that's just bringing added

1043
00:51:34,320 --> 00:51:37,520
Speaker 1: excitement because you're like, yeah, that's a that's a that's

1044
00:51:37,560 --> 00:51:44,799
Speaker 1: a big thing. Actually, yeah, I mean it's I mean,

1045
00:51:45,080 --> 00:51:47,480
Speaker 1: I mean even the US everybody was like, hey, man, well,

1046
00:51:47,600 --> 00:51:49,440
Speaker 1: I mean, if these guys can help us make some

1047
00:51:49,520 --> 00:51:52,120
Speaker 1: fucking Adam bombs or some other ship, we can look

1048
00:51:52,160 --> 00:51:56,400
Speaker 1: past all the Nazi ship. It's a very, very very why.

1049
00:51:56,160 --> 00:51:59,000
Speaker 2: They can help us do more Nazi ship, We'll look

1050
00:51:59,080 --> 00:52:00,399
Speaker 2: past all the Nazi shit.

1051
00:52:00,480 --> 00:52:02,719
Speaker 1: I mean, when you think about how Adolf Hitler was

1052
00:52:02,800 --> 00:52:06,080
Speaker 1: inspired by the US's treatment yes people of color here,

1053
00:52:06,360 --> 00:52:06,680
Speaker 1: you're like.

1054
00:52:08,360 --> 00:52:10,920
Speaker 2: Yeah, I literally that like blew my mind when I

1055
00:52:10,960 --> 00:52:12,960
Speaker 2: found that out, that he looked at like the American

1056
00:52:13,000 --> 00:52:16,680
Speaker 2: genocide of the Native people as like his inspiration for

1057
00:52:16,800 --> 00:52:17,760
Speaker 2: genociding Jewish.

1058
00:52:17,960 --> 00:52:20,480
Speaker 1: Yeah, dreaming of like Mexican Americans, all of that he

1059
00:52:20,560 --> 00:52:21,759
Speaker 1: was just like do you think of it.

1060
00:52:21,760 --> 00:52:24,720
Speaker 2: In different timelines for something, you know what I mean.

1061
00:52:25,320 --> 00:52:29,920
Speaker 1: You're about that shit. Yeah, But there's also this so

1062
00:52:29,960 --> 00:52:32,680
Speaker 1: funny there's this one photo that people like, they say, like,

1063
00:52:32,719 --> 00:52:35,080
Speaker 1: this is a photo of Hitler as an old man,

1064
00:52:35,640 --> 00:52:37,839
Speaker 1: and it was like in a show during this History

1065
00:52:37,920 --> 00:52:41,040
Speaker 1: Channel show called Hunting Hitler. But people like were like,

1066
00:52:41,239 --> 00:52:44,200
Speaker 1: that is not Adolf Hitler. That is literally Mo Howard

1067
00:52:44,239 --> 00:52:46,640
Speaker 1: from The Three Stooges as an old That is so

1068
00:52:46,800 --> 00:52:52,080
Speaker 1: funny and it's literally Mo Howard, iconic comedian, Jewish comedian

1069
00:52:52,160 --> 00:52:55,319
Speaker 1: Mo Howard. That they're like, that's Hitler and like that's

1070
00:52:55,440 --> 00:52:57,439
Speaker 1: him in nineteen seventy three.

1071
00:52:57,560 --> 00:53:01,120
Speaker 2: Oh my god, that is so funny. Yeah, Hitler came

1072
00:53:01,200 --> 00:53:03,040
Speaker 2: back as an old Jewish man that would have been

1073
00:53:03,080 --> 00:53:04,280
Speaker 2: alive during his lifetime anymore.

1074
00:53:04,280 --> 00:53:07,120
Speaker 1: I mean, Howard did do in those Three Stooges bits

1075
00:53:07,120 --> 00:53:09,319
Speaker 1: from then, like he did do the Hitler character a ton,

1076
00:53:09,480 --> 00:53:11,279
Speaker 1: but like it wasn't in any way where you're like,

1077
00:53:11,680 --> 00:53:13,840
Speaker 1: I mean, and that was from the perspective of Americans

1078
00:53:13,840 --> 00:53:16,239
Speaker 1: making fun of the Nazis. But even then, it's like

1079
00:53:16,280 --> 00:53:18,080
Speaker 1: he didn't look like him so much that you're like

1080
00:53:18,160 --> 00:53:20,359
Speaker 1: you know what, dude, that might he might be able

1081
00:53:20,360 --> 00:53:23,640
Speaker 1: to confuse people down the road. But hey, I like that.

1082
00:53:23,719 --> 00:53:26,120
Speaker 2: It wasn't just like a random guy that looked like Hitler.

1083
00:53:26,160 --> 00:53:29,920
Speaker 2: It was like a verifying famous truly.

1084
00:53:30,160 --> 00:53:34,319
Speaker 1: Then people like, that's Larry Bird with just a mad mustache.

1085
00:53:34,719 --> 00:53:36,799
Speaker 1: I don't know, I don't know. It's like, no, no,

1086
00:53:36,840 --> 00:53:39,640
Speaker 1: that's that's Larry Bird. He's wearing a Celtics uniform. He's

1087
00:53:39,680 --> 00:53:41,319
Speaker 1: like playing against Magic Johnson.

1088
00:53:40,960 --> 00:53:41,359
Speaker 2: At this photo.

1089
00:53:43,040 --> 00:53:47,040
Speaker 1: Say it off, Hitler, Say it off Hitler. Okay, Well,

1090
00:53:47,120 --> 00:53:50,399
Speaker 1: Alison Raskin, thank you so much for joining us on

1091
00:53:50,480 --> 00:53:52,920
Speaker 1: the Daily Zeitgeist. It's been a pleasure. Where did people

1092
00:53:52,960 --> 00:53:55,239
Speaker 1: find you? Follow you, support your book, all of that

1093
00:53:55,280 --> 00:53:55,840
Speaker 1: great stuff.

1094
00:53:56,600 --> 00:53:57,880
Speaker 2: Thank you? Yeah.

1095
00:53:57,920 --> 00:54:01,520
Speaker 4: Say the date is available anywhere are sold If you're

1096
00:54:01,520 --> 00:54:04,760
Speaker 4: looking for just like a fun kind of rom COMMI

1097
00:54:04,920 --> 00:54:09,160
Speaker 4: Escape from the Horrors at Art Everyday Life. I recommend it,

1098
00:54:09,719 --> 00:54:12,279
Speaker 4: And then you can find me at Alison Raskin on

1099
00:54:12,360 --> 00:54:16,560
Speaker 4: Instagram and at Alison Raskin baby on TikTok because I

1100
00:54:16,600 --> 00:54:19,280
Speaker 4: messed that up at some point I created a second

1101
00:54:19,280 --> 00:54:20,319
Speaker 4: account and now it.

1102
00:54:20,280 --> 00:54:21,120
Speaker 2: Has baby at the end.

1103
00:54:21,560 --> 00:54:24,080
Speaker 4: And also if you are interested in just reading more

1104
00:54:24,080 --> 00:54:26,520
Speaker 4: of my nonfiction writing about all things mental health. They

1105
00:54:26,520 --> 00:54:30,040
Speaker 4: have subseat called Emotional Support Lady and.

1106
00:54:30,000 --> 00:54:31,560
Speaker 2: My podcast Just between Us.

1107
00:54:31,800 --> 00:54:34,080
Speaker 1: Ooo. There it is. Is there a work of media,

1108
00:54:34,280 --> 00:54:36,680
Speaker 1: social or otherwise that you're enjoying?

1109
00:54:37,560 --> 00:54:37,759
Speaker 2: You know?

1110
00:54:37,880 --> 00:54:41,320
Speaker 4: I've gotten really into the headlines the New York Times,

1111
00:54:41,360 --> 00:54:44,719
Speaker 4: like really quick, like updates, and I really love the host,

1112
00:54:44,840 --> 00:54:48,160
Speaker 4: Tracy Mumford. And she's like she's getting looser, you know,

1113
00:54:48,239 --> 00:54:50,600
Speaker 4: Like when I first started listening, she was like, very

1114
00:54:50,640 --> 00:54:53,000
Speaker 4: you know, just stick to the script. And now we've

1115
00:54:53,040 --> 00:54:55,600
Speaker 4: getting some goofs. So I've been really excited about that.

1116
00:54:56,120 --> 00:55:00,600
Speaker 1: Nice. Just I love when people get goof you.

1117
00:55:00,560 --> 00:55:01,719
Speaker 2: Know, I know we do.

1118
00:55:02,000 --> 00:55:04,200
Speaker 4: Just I also like think a lot about like the

1119
00:55:04,480 --> 00:55:07,080
Speaker 4: like if they talk about it, are they like acknowledging

1120
00:55:07,120 --> 00:55:08,239
Speaker 4: that she's getting goof here?

1121
00:55:08,680 --> 00:55:11,360
Speaker 1: Yeah? I love a bit of goofing, don't we?

1122
00:55:11,920 --> 00:55:12,040
Speaker 3: Uh?

1123
00:55:12,640 --> 00:55:15,759
Speaker 1: Pola, thank you so much for guest co hosting being

1124
00:55:16,040 --> 00:55:21,279
Speaker 1: a fantastic guest co host, Brian. Where do people find you?

1125
00:55:21,280 --> 00:55:21,960
Speaker 1: What's a teacher like?

1126
00:55:23,680 --> 00:55:28,360
Speaker 2: Okay, so I uh follow this fellow Caltech alum, which

1127
00:55:28,400 --> 00:55:33,359
Speaker 2: is unusual and fun. Katie Mac scientist Astro at astrokatie

1128
00:55:33,360 --> 00:55:37,000
Speaker 2: dot com. She had this tweet that was the problem

1129
00:55:37,000 --> 00:55:40,000
Speaker 2: with most machine based random number generators is that they're

1130
00:55:40,000 --> 00:55:43,000
Speaker 2: not truly random. So if you need genuine randomness, it

1131
00:55:43,040 --> 00:55:45,640
Speaker 2: is sometimes necessary to link your code to an external

1132
00:55:45,760 --> 00:55:48,560
Speaker 2: random process, like a physical noise source or the current

1133
00:55:48,640 --> 00:55:53,799
Speaker 2: rate of US tariffs on a given country. I love

1134
00:55:53,800 --> 00:55:55,399
Speaker 2: a little bird bit. I love it.

1135
00:55:55,680 --> 00:55:59,880
Speaker 1: Oh my god. Yeah, let's see if there's just just

1136
00:56:00,120 --> 00:56:02,000
Speaker 1: I just know. I was gonna play the clip of

1137
00:56:02,000 --> 00:56:04,120
Speaker 1: Trump being like, look how much these guys made. There's

1138
00:56:04,200 --> 00:56:07,520
Speaker 1: it's literally on. It's like in four K him gesturing

1139
00:56:07,520 --> 00:56:13,960
Speaker 1: to Charles Schwab. Let's see there's a where Oh this

1140
00:56:14,040 --> 00:56:17,520
Speaker 1: is actually funny. U zeitgang put me onto this image?

1141
00:56:17,600 --> 00:56:19,719
Speaker 1: This was who is this? Who tagged me in this?

1142
00:56:19,960 --> 00:56:23,200
Speaker 1: I because I want to shout you out. Uh tachyonic

1143
00:56:23,360 --> 00:56:26,440
Speaker 1: sloth dot bsky dot social. Uh put me onto this

1144
00:56:26,520 --> 00:56:30,040
Speaker 1: post from beatlemoses dot bsky dot social. It's it's like

1145
00:56:30,080 --> 00:56:32,640
Speaker 1: a comic book of like a dude, like a vape bro,

1146
00:56:33,080 --> 00:56:35,120
Speaker 1: like wearing a neo T shirt. And he's like, okay,

1147
00:56:35,160 --> 00:56:37,319
Speaker 1: now check the first panels, like okay, now check this

1148
00:56:37,920 --> 00:56:40,239
Speaker 1: second panel. A bunch of giant aliens like in a

1149
00:56:40,280 --> 00:56:43,080
Speaker 1: circle watching him blow the sickest vape clouds and doing

1150
00:56:43,160 --> 00:56:43,800
Speaker 1: smoke rings.

1151
00:56:45,239 --> 00:56:50,000
Speaker 2: It's like the idea that's like the Hobbits watching Gang Yeah.

1152
00:56:50,000 --> 00:56:52,520
Speaker 1: Oh yeah ships sick dude. The way he timed that

1153
00:56:52,600 --> 00:56:54,560
Speaker 1: with the dubstep drop fucking he.

1154
00:56:54,560 --> 00:56:57,200
Speaker 2: Wasn't a wizard at all. Maybe he just blew cool.

1155
00:57:01,360 --> 00:57:03,960
Speaker 1: You can find me at Miles of Bray Everywhere. You

1156
00:57:03,960 --> 00:57:06,160
Speaker 1: can also check me out on the basketball podcast Moles

1157
00:57:06,160 --> 00:57:08,160
Speaker 1: and Jackout Mad Boosties. You can also check me talking

1158
00:57:08,200 --> 00:57:10,960
Speaker 1: about ninety day Fiance on four to twenty Day Fiance.

1159
00:57:11,680 --> 00:57:13,440
Speaker 1: You can find us on Twitter and Blue Sky at

1160
00:57:13,520 --> 00:57:16,120
Speaker 1: Daily Zeitgeist. We're at v Daily Zeitgeist. On Instagram. You

1161
00:57:16,120 --> 00:57:18,040
Speaker 1: can go to the description of the episode right now

1162
00:57:18,080 --> 00:57:20,280
Speaker 1: on the app you are listening to and you can

1163
00:57:20,280 --> 00:57:22,920
Speaker 1: find the footnotes. That's where you will find links to

1164
00:57:22,960 --> 00:57:25,160
Speaker 1: the articles we chatted about, as well as a song

1165
00:57:25,240 --> 00:57:28,280
Speaker 1: that we are going to go out on on this day.

1166
00:57:28,400 --> 00:57:31,680
Speaker 1: I would like to go out on a song called

1167
00:57:32,000 --> 00:57:37,680
Speaker 1: Archives by the artist known as opec Opek. It just

1168
00:57:37,760 --> 00:57:40,920
Speaker 1: has very It's like it's like a jazzy sort of

1169
00:57:40,920 --> 00:57:43,960
Speaker 1: piano composition. It kind of feels like for people who

1170
00:57:43,960 --> 00:57:47,520
Speaker 1: are into like David Axelrod from like the seventies and sixties,

1171
00:57:47,600 --> 00:57:49,439
Speaker 1: a lot of stuff that gets sampled from hip hop,

1172
00:57:49,560 --> 00:57:53,680
Speaker 1: just that very chill, instrumental jazzy music, very nice to

1173
00:57:53,760 --> 00:57:57,360
Speaker 1: listen to amidst the dire days we're in where my

1174
00:57:57,440 --> 00:58:01,800
Speaker 1: Wolves at. So this is opek with the track archives.

1175
00:58:01,880 --> 00:58:04,800
Speaker 1: So if you want more of a show like this, well

1176
00:58:04,880 --> 00:58:06,760
Speaker 1: check out I Heart Radio, Apple Podcast, or wherever you

1177
00:58:06,760 --> 00:58:08,760
Speaker 1: get your podcast. This was a production of My Heart Radio.

1178
00:58:09,440 --> 00:58:11,520
Speaker 1: That's gonna do it for us this week check out

1179
00:58:11,760 --> 00:58:14,200
Speaker 1: this weekend. We have a best of episode and will

1180
00:58:14,240 --> 00:58:16,880
Speaker 1: be back Monday to tell you all the nasty shit

1181
00:58:16,960 --> 00:58:19,600
Speaker 1: that was s trending over the weekend, but with love. Okay,

1182
00:58:19,720 --> 00:58:23,920
Speaker 1: have a great weekend. Bye bye. The Daily Zeit Guys

1183
00:58:24,000 --> 00:58:25,920
Speaker 1: is executive produced by Catherine Law.

1184
00:58:26,120 --> 00:58:28,200
Speaker 2: Co produced by Bee Wag.

1185
00:58:28,520 --> 00:58:33,480
Speaker 1: Co produced by Victor Wright, Edited and engineered by Justin Conner.