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Speaker 1: Hello the Internet, and welcome to season two ninety three,

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Speaker 1: Episode three of Diary's I Guys Say, production of iHeartRadio.

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Speaker 1: This is a podcast where we take a deep dive

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Speaker 1: into America's share consciousness. And it is Thursday, June twenty nine,

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Speaker 1: twenty twenty three.

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Speaker 2: You know what that means?

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Speaker 3: His National Handshake Day, Jack Twitter.

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Speaker 1: There alright, all right, yeah right, all right, brother.

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Speaker 3: Also not National Almond butter Crunch Day, International Day of

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Speaker 3: the Tropics, Waffle Iron Day, National Camera Day, And for

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Speaker 3: all you popsicle lovers levels lovers out of there's National

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Speaker 3: bomb pop Day. The wonderful red white and blue treat

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Speaker 3: that was developed during the Cold War to remind us

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Speaker 3: that the bombs just.

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Speaker 2: A lick away, Is that right?

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Speaker 1: That's why it was developed. I was just like a

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Speaker 1: CIA thing, like a little easter.

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Speaker 3: So I think it was just basically, I think Cold

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Speaker 3: War just like it was just like, you know, just

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Speaker 3: some more nationalism to tap into. Kansas City, Missouri, nineteen

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Speaker 3: fifty five.

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Speaker 1: That's the red white and blue like rocket Pop one.

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Speaker 3: Yeah, there's like blue white and red like like kind

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Speaker 3: of yeah.

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Speaker 2: Yeah, yeah.

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Speaker 1: I was called the rocket Pop I always and I

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Speaker 1: did always associate it with militarism, as you should. How's

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Speaker 1: your handshake? Mouth? How do how do people greet your

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Speaker 1: They say, oh, firm handshake there.

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Speaker 2: Goddamn, what the fuck was that? Dude? You have to prove, Yeah,

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Speaker 2: I'm like a lot. My handshake pretty good. There was

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Speaker 2: a time.

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Speaker 1: Nice to meet you. Face says nice to meet you.

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Speaker 1: My hand says, do you're better than.

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Speaker 2: I'm wearing a brace on my hand from an injury.

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Speaker 2: Then you shouldn't have extended it for one of my handshakes.

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Speaker 1: Then you shouldn't have come at the king. My name's

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Speaker 1: Jack O'Brien aka Christmas Hams. Forearms fit for carving. Donald

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Speaker 1: Trump cannot help but compare Christmas Hams bue ups, big

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Speaker 1: as oil drums shelter him, and he hasn't a care.

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Speaker 1: Big strong arms to carry Donald home, big strong arms

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Speaker 1: to carry Donald home and so forth. That is courtesy

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Speaker 1: of Axe Hubs on the discord. His obsession with big

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Speaker 1: strong arms continues to be a weird thing about Donald Trump.

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Speaker 1: Did you did you catch the video of him seemingly

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Speaker 1: having an orgasm at Electron? Yeah, he's like doing the

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Speaker 1: week like but it just goes on for entirely too long.

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Speaker 4: You can't cous a firm handshake with hamshake, cloud shake.

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Speaker 4: What I meant to say was handshake with you know,

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Speaker 4: you can't do it without big strong.

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Speaker 1: Arm, big strong arms.

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Speaker 2: Donald home, it's there it comes from. People don't realize

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Speaker 2: it's not device. It's the shoulders where that strength comes.

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Speaker 1: But that was that was part of a long riff. Well.

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Speaker 1: He was in Oakland, Michigan, to be honored as Man

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Speaker 1: of the Decade and was giving delivering a speech this

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Speaker 1: past weekend where he was making fun of winning transat

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Speaker 1: Yeah it was like a train.

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Speaker 3: I think it was actually a transphobic thing that he's

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Speaker 3: but everyone was like, I think he's coming.

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Speaker 1: But yeah, it like it was about arm strength. And

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Speaker 1: he went on for fifteen seconds, sounding like he was

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Speaker 1: coming all over the place coming WHOA.

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Speaker 3: Another thing think of pumping iron too, was something Arnold

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Speaker 3: Schwarzenegger would say, feels like I'm coming.

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Speaker 1: Yes, because like I'm coming in the gym. It feels

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Speaker 1: like I'm coming at home. Cool. Arnold Lauren also, hamshake

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Speaker 1: might be the ham the Hamburglar's answer to the art stake.

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Speaker 1: We might might be facing that in the not too

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Speaker 1: distant future. I'm thrilled to be joined as always by

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Speaker 1: my co host, mister Miles Grad Miles Gray.

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Speaker 3: Kay.

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Speaker 5: All the eighty kids with their hot dog dicks better run,

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Speaker 5: better run out.

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Speaker 2: On their buns.

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Speaker 5: All the AE kids with their hot dog dicks, better run, better,

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Speaker 5: run faster than their glozzies.

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Speaker 3: So for context, Lockerniso hit us up in the discord,

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Speaker 3: American Eagle put up like a picture of like this

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Speaker 3: hot like Fourth of July underwear with like the American

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Speaker 3: flag on it, but with the crotches. It is like

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Speaker 3: a big cocksleeve but like but it's printed as a

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Speaker 3: hot dog on the outside. Had no idea about this.

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Speaker 3: I had no idea about this, Folks, no idea about this.

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Speaker 3: I would not have.

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Speaker 1: It's our job to know about this stuff. But thank

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Speaker 1: you La la la la Coroni for sharing that with us. Yeah,

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Speaker 1: it's haunted and American Eagle one of the brands that

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Speaker 1: got taken over by private equity at one where it

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Speaker 1: is kind of driven into the ground. But you know,

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Speaker 1: a true American comeback story. I guess we can call it. Miles.

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Speaker 1: We are thrilled to be joined in our third seat

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Speaker 1: by the very talented writers, stand up comedian podcast host

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Speaker 1: of The Bechdel Cast, which just one of the great

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Speaker 1: podcasts out there, also happen to have a master's degree

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Speaker 1: in film. Most anagrammable name in the English language it

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Speaker 1: is Caitlin Deronda.

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Speaker 4: In Teeddracula for duty. What's the recording for duty? I

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Speaker 4: I did someone call Lauren D Titanic?

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Speaker 2: It's me. I've been thinking, what do you want?

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Speaker 4: Did you want? What's my other one? Uh's Latin dancer?

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Speaker 2: Ut?

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Speaker 4: I here, I am?

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Speaker 1: Here you are Lauren D. Titanic is so appropriate too.

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Speaker 3: Yeah, I've been thinking about you since all the you know,

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Speaker 3: submarine stuff, you know, and going down to the Titanic,

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Speaker 3: and I'm glad you are with us within a week

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Speaker 3: of that. Yes, quasi tragedy or whatever we're calling it,

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Speaker 3: had you.

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Speaker 1: Been given a scholarship to be on the submersible to

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Speaker 1: go down to the Titanic, Like, does that sort of

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Speaker 1: thing interest you to like see the Titanic in person?

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Speaker 1: You are notably one of the biggest fans of the

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Speaker 1: film Titanic, That's true. Yes, one of the noted builders

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Speaker 1: of the Titanic lego set bathtub sized Titanic lego set.

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Speaker 4: You're right, all true. However, do you.

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Speaker 1: Want to get down there and like look at the

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Speaker 1: moss coverage remnants?

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Speaker 4: Not even a little bit. Okay, maybe if it was

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Speaker 4: on dry land, But I am terrified and and I

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Speaker 4: was terrified of submarines before it was cool to be terrified.

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Speaker 1: Problem.

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Speaker 4: I would never go under water deeper than like ten

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Speaker 4: feet in any right.

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Speaker 1: Yeah, yeah, even when you get to the bottom of

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Speaker 1: the deep end, it really.

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Speaker 4: Hurts, and getting back up to the surface you're not

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Speaker 4: sure if you're gonna make it.

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Speaker 2: Sometimes are you swimming very recklessly?

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Speaker 1: No?

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Speaker 4: But yeah, I'm I'm very afraid of water.

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Speaker 2: Are you okay?

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Speaker 3: So are you a I'm guessing there's like levels too, right.

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Speaker 3: Some people are a fan of the entirety of Titanic, right,

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Speaker 3: the idea, like they romanticize it, and some to the

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Speaker 3: point where like the tragedy too has drawn me in

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Speaker 3: that they want to see it. Are you a fan

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Speaker 3: of the film the boat itself? Does that have any

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Speaker 3: intrigue or it's all really just a film, Like I

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Speaker 3: don't give about the real life.

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Speaker 4: It's honestly mostly the film. But because I like the

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Speaker 4: movie so much, it's like other things. Boat Lore and

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Speaker 4: you know Titanic, Like I enjoy them just sort of

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Speaker 4: as a byproduct of liking the movie the same way

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Speaker 4: that I like bears, because Paddington is a bear, right right.

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Speaker 4: I mostly just like you're the Paddington movies.

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Speaker 3: Yeah, You're not going to Alaska to fuck around with

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Speaker 3: like some grizzlies or anything.

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Speaker 4: No, no, thank you. I will not put myself in

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Speaker 4: danger in any way just because I like a movie.

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Speaker 4: Irrelevant movie you.

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Speaker 1: Do hold inside you like the two urges, the two

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Speaker 1: interests that seem to kill people like that, because the

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Speaker 1: thing that the Titanic wreck reminded me of was Grizzly Man.

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Speaker 1: It was like, oh, we all, like you talk to

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Speaker 1: experts ahead of his last expedition where he went and

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Speaker 1: like played with the grizzlies, and they were like that

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Speaker 1: man is going to get killed, like the next time

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Speaker 1: he does this, probably.

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Speaker 4: And sure it happened.

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Speaker 2: Yeah.

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Speaker 1: Yeah.

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Speaker 3: Well there's there's an article I saw recently about how

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Speaker 3: there's like there's more interest from like wealthy people to

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Speaker 3: do extreme travel. Good great, like one of the people

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Speaker 3: who like founded like a company that would do stuff

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Speaker 3: in partnership with Oceangate. I was saying like a lot

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Speaker 3: of customers like we're interested in quote bragging rights, which

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Speaker 3: makes so it's like Trump's mindset too with these documents,

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Speaker 3: just merely to say that you fucking went and did that.

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Speaker 1: Yeah.

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Speaker 4: I also because rich people don't have like real problems

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Speaker 4: they have to make, they have to like invent stress

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Speaker 4: in their life.

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Speaker 2: I think they're like, I have no existential threats, so

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Speaker 2: I'm going to get in a Yankee submarine. Yeah.

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Speaker 4: It's like that movie The Game If.

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Speaker 1: Yeah that I think we do. I think we do, Caitlin,

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Speaker 1: thank you. It's truly. It does seem like there is

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Speaker 1: something about becoming extremely wealthy and just going through a

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Speaker 1: day to day life where you are completely of what like,

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Speaker 1: you don't don't encounter consequences even once that. Yeah, people

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Speaker 1: do some wild ship.

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Speaker 3: I wonder they're in the thing, like, isn't this cool?

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Speaker 3: We could die here?

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Speaker 2: Yeah?

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Speaker 3: Yeah that's why I want it? What about you?

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Speaker 1: Yeah? Yeah? Same like Jesus Christ.

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Speaker 3: Christ, I'm just trying to set a Guinness record for

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Speaker 3: doing a Rubik's cube. But the deepest depth wasn't that

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Speaker 3: the thing the kid was trying to do?

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Speaker 1: Oh I don't know, man, Yeah, Yeah, I had a

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Speaker 1: Rubics Cube with him, and I think was going after

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Speaker 1: some kind of Guinness record for like deepest cube.

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Speaker 4: Well, didn't the record just get broken a few days ago?

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Speaker 4: It was like three point one three seconds someone solved.

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Speaker 1: Oh.

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Speaker 3: I think he was going for the record for deepest,

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Speaker 3: like deepest like depth to solve a Rubik's Cube.

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Speaker 4: Well, that's what I'm doing when I swim into the

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Speaker 4: deep end in the Yeah, I'm down there for so

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Speaker 4: long because I'm trying to solve a Rubick's cube.

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Speaker 2: No air tank, no air.

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Speaker 1: Tank, deepest, darkest, My head is like a shark fin

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Speaker 1: deepest bluest, Yeah, deepest bluest. Yeah, that's right.

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Speaker 3: Remember when remember when those soundtracks have those titular tracks

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Speaker 3: from like the talent on that soundtrack, it's like, I'm

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Speaker 3: not gonna make a song about sharks ever, but I'm

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Speaker 3: ll cool Jay and I'm in this shark movie and

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Speaker 3: guess what, guys.

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Speaker 1: What's happening get a fee to get on this soundtrack.

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Speaker 1: We're gonna cut to credits and you're gonna hear me

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Speaker 1: rap the plot of the song.

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Speaker 3: Depluc Deepest Blues.

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Speaker 4: Yeah, my heat, okays making sense? I was like, there's

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Speaker 4: only one Shark movie, right, any.

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Speaker 1: But that was Will Smith and he is most you know,

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Speaker 1: probably the most notable example of somebody who does movie

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Speaker 1: plot rap songs.

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Speaker 4: Really does do that.

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Speaker 1: Yeah, all right, Caitlin, we're gonna get to know you

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Speaker 1: a little bit better in a moment. First, we're gonna

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Speaker 1: tell our listeners a couple of things that we're talking about.

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Speaker 1: Trump's counter on a couple stories are coming into focus.

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Speaker 1: Kind of. He had an interview with ABC where he

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Speaker 1: was like, I was just showing I was bluffing. I

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Speaker 1: was just kidding on that tape. That tape is what

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Speaker 1: you hear on that tape is my incredible sense of humor.

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Speaker 2: Essentially, those are napkins wrestling. Those aren't documents, even like, yeah.

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Speaker 1: He's also countersuing Egene Carroll, who he was a jury

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Speaker 1: found that he sexually abused her, and he is suing

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Speaker 1: her for saying that he raped her. So again, just

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Speaker 1: you know, deny loudly and aggressively, and yeah, but with

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Speaker 1: no logic to this, no logic whatsoever.

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Speaker 3: There's like you've already been, It's it's confirmed what you

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Speaker 3: have been, what's happened here. But he's just going off

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Speaker 3: because she's she's suing him again because when he denied

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Speaker 3: it at the CNN town hall, like the very next day,

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Speaker 3: that decision came in for the.

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Speaker 1: First suits on countersuits on suits and just tie everything up.

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Speaker 1: In the course, we're gonna talk about food waste. There

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Speaker 1: is a new technology that might help with food waste.

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Speaker 1: We'll talk about Tom Hanks's niece from the read A side.

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Speaker 2: Yeah, the Wilson side. Yeah, yeah, yeah. Have you seen this?

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Speaker 2: You heard about this?

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Speaker 3: Kaitlyn fame Fane Oh, buckle up.

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Speaker 1: I was not aware of the show, claimed a fan

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Speaker 1: before this clip, so the same same she did them

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Speaker 1: a real solid this reaction. She was the first. So

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Speaker 1: it's a reality show where people come on they have

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Speaker 1: famous relatives and the other famous relatives have to guess

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Speaker 1: who they're related to. And she is the first eliminated

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Speaker 1: and took it like a champ. Exactly interesting, look it

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Speaker 1: like a champ. So we'll listen to the to the reaction.

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Speaker 1: That's it's a lot of fun. All of that plenty more.

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Speaker 1: But first Caitlin, we do like to ask our guest,

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Speaker 1: what is something from your search history?

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Speaker 4: Okay, so I looked up Shrek makeup naturally, because well,

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Speaker 4: I'll tell you. So, someone had sent me a YouTube

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Speaker 4: video ever heard of.

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Speaker 2: It about hold on what big fan?

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Speaker 4: YouTube rocks? So YouTube, big guys.

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Speaker 1: Have you seen these YouTube videos? YouTube Rocks Marketing.

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Speaker 4: Got YouTube?

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Speaker 1: Yeah?

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Speaker 4: Okay, So the YouTube video is It's entitled writing Shrek

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Speaker 4: Movies costumes on historical accuracy. So it's from It's incredible, right,

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Speaker 4: It's from user Carolina Zebrawska, who I don't know. This

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Speaker 4: is the only video of hers I've watched, but I'm

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Speaker 4: guessing she's like an expert in clothes and history and

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Speaker 4: the clothes that people war throughout history. So she has

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Speaker 4: watched all of the Shrek movies and rated the costumes

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Speaker 4: based on historical accuracy. I was watching this and I

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Speaker 4: was like, wow, this is great, and it reminded me

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Speaker 4: of something someone else sent me, which was a link

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Speaker 4: to Shrek makeup. So I had to google that and

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Speaker 4: be like, oh, yeah, remember Shrek makeup. So it's from

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Speaker 4: this company called Revolution and they have a whole line

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Speaker 4: of Shrek makeup and but when and by what I

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Speaker 4: mean by that is eyeshadows that come in a case

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Speaker 4: that looks like Shrek's head.

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Speaker 1: We got.

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Speaker 2: Something?

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Speaker 4: Yeah, exactly. I think some of the makeup is you

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Speaker 4: can get like green lipstick. I want to say, there,

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Speaker 4: swamp clay mask, what gingerbread.

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Speaker 1: Light, ginger highlighter?

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Speaker 2: Wow?

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Speaker 3: Oh a makeup headband with the Shrek ears with the

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Speaker 3: hair back you can Okay, I'm sorry.

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Speaker 4: This is for for Shrek fans who wear makeup, right, okay.

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Speaker 1: The top says can we go up?

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Speaker 2: Can we go up?

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Speaker 1: To the top of this page it has Shrek collabo

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Speaker 1: with Revolution and then it says get out of my swamp?

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Speaker 1: Next the Trek is that? Is that like one of

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Speaker 1: his catchphrases? Uh?

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Speaker 4: Yeah, yeah. He does not like it when people get

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Speaker 4: yeah and he says get out.

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Speaker 1: It's just I think of like fun tween makeup stylings

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Speaker 1: as not that not being the part of Shrek's personality

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Speaker 1: that I want to emphasize.

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Speaker 4: Well, clearly you haven't.

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Speaker 1: Really, I don't get the angst the drives one.

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Speaker 4: You really need to get better acquainted with Shrek, because

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Speaker 4: if you were, you would know that this makes perfect

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Speaker 4: sense that.

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Speaker 2: You just want to be Shrek. You want that swamp aesthetic.

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Speaker 3: M Yeah, okay, I might try this.

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Speaker 1: What is something Caitlin, you think is overrated.

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Speaker 4: I think that, and this might be controversial, but I

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Speaker 4: think that nachos are overrated, especially the kind you get

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Speaker 4: as like at a restaurant when they like load on

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Speaker 4: a bunch of you know, ground beef and cheese and

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Speaker 4: create sour cream and all that stuff. I think the

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Speaker 4: flavors are good, but the execution is bad because they

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Speaker 4: all get the chips get soggy almost immediately. It is

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Speaker 4: very hard to get a good like distribution of all

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Speaker 4: the toppings onto one chip. Yeah, because you got one

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Speaker 4: that's like nothing but beef, which is gonna be my

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Speaker 4: new catchphrase.

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Speaker 2: Nothing nothing but beef.

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Speaker 1: Get out of my swamp. And if you come in

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Speaker 1: my swamp, there's nothing but beef here for you exactly.

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Speaker 4: And the other ones it's like, you know, only sour cream.

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Speaker 4: It's just I think, again, poorly executed.

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Speaker 3: How how would you optimize because my biggest you know,

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Speaker 3: gripe with bad nachos at a restaurant is it's all

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Speaker 3: top heavy, like yeah, yeah, and then and so you

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Speaker 3: have it all on top and then underneath it's just

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Speaker 3: a bunch of dry chips and then you got to

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Speaker 3: kind of use those to like scrape out the top

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Speaker 3: I like when people layer them. I'm not I'm not

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Speaker 3: as upset about the crunchiness because for me, I just

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Speaker 3: want to have just shit on every chip. Basically, it's

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Speaker 3: how I look at it. But how would you optimize

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Speaker 3: if we're going to get around this?

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Speaker 4: I think we just need to do and this is

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Speaker 4: a this will become a surface area problem because you're

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Speaker 4: gonna need a big ass tray. Yeah, just like one

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Speaker 4: single layer of chips and then the topics evenly distribute,

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Speaker 4: so you're talking like a tray. It's gonna need to

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Speaker 4: be like three by three feet kind of thing.

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Speaker 1: The best strategy I've ever waited, as my friend Blake

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Speaker 1: in high school shut up. Blake went through and would

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Speaker 1: put cheese on each chip and then a dollop of

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Speaker 1: salsa like on top of the cheese and that would

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Speaker 1: keep it from getting and then you put it in

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Speaker 1: the microwave. It is very time intensive, but it is

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Speaker 1: truly the best way to do nachos is think of

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Speaker 1: each chip as its own moment, its own nacho. You

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Speaker 1: are as opposed to just dumping chips out and then

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Speaker 1: like kind of having scattering toppings across.

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Speaker 3: They're not just numbers on a spreadsheet, man. Yeah, they're

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Speaker 3: individual chips.

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Speaker 2: Yeah, get it.

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Speaker 4: Each chip is a moment. That's beautiful.

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Speaker 1: Restaurant nachos are a real mess. I still love just

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Speaker 1: the orchestrop.

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Speaker 3: I feel like I have to there always needs to

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Speaker 3: be one person's really into nachos to order nachos.

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Speaker 1: Should we do the nachos guys?

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Speaker 2: Yeah, yeah exactly.

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Speaker 3: I'm like, well, you know, I wasn't like because they

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Speaker 3: look really good, and I'm like, fine, you get the nachos, like.

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Speaker 1: They always look good.

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Speaker 3: Yeah, anyway, but you go after nachos pretty consistently.

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Speaker 4: Kaitlin, No, I avoid them for the reason that I

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Speaker 4: think they're over.

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Speaker 3: As if someone said, hey, should we get them, You're like,

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Speaker 3: let me just actually tell you why everyone opened up.

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Speaker 3: Actually yeah, I promised myself I wouldn't do this today.

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Speaker 4: But yeah, so I'm like, let's get whatever. I don't know,

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Speaker 4: the sampler platter. Clearly I'm only going to Applebee's like restaurants.

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Speaker 4: I'm like, let's get the manzo realistics.

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Speaker 1: But yeah, no.

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Speaker 4: Nachos for me.

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Speaker 1: I'd love to get some nachos.

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Speaker 2: I like to.

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Speaker 1: I have ordered nachos as a main course before Wow,

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Speaker 1: just eat them by sending people off with my arms.

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Speaker 1: What what's something that you think is underrated, Kaitlin?

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Speaker 4: I hope this ages well because anytime I'm like, wow,

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Speaker 4: this man who I like, I'll say that, and then

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Speaker 4: like a year or some amount of time later, he

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Speaker 4: turns out to be a awful person. So hopefully that's

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Speaker 4: not the case for this person. But I think Wesley

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Speaker 4: Snipes is underrated. I think he rocks, and I wish

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Speaker 4: he had a more a career that was like still

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Speaker 4: as illustrious as it was, you know, a few decades ago.

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Speaker 3: Yeah, like the it really peaked in the like mid

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Speaker 3: to late nineties, therefrohim. Yeah, but so clearly, you know,

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Speaker 3: you don't consider being a tax cheat being a terrible person.

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Speaker 1: Because that's why we stopped liking on this ship.

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Speaker 2: Yeah, come, tax evasion, No, no, not our king.

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Speaker 4: I if look, if I thought I could get away,

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Speaker 4: and I'm also gonna regret saying this, but I if

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Speaker 4: I could get away with tax evasion, because with the

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Speaker 4: way the government's spending my money on too much military

400
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Speaker 4: et cetera, I don't want to pay those taxes either.

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Speaker 4: If they're gonna be you know, allocated to horrible shit.

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Speaker 4: So I don't think that tax evasion is that bad

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Speaker 4: of a crime.

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Speaker 3: There, I see, Yeah, yeah, yeah, I mean that's that's

405
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Speaker 3: my inner fed talking. Sorry, kind of been on a

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Speaker 3: different one since earlier this week.

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Speaker 2: I didn't know that.

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Speaker 3: Did you know that his apartment was destroyed in the

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Speaker 3: nine to eleven attack?

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Speaker 1: Oh my gosh, no, yeah, it wasn't even in Manhattan.

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Speaker 1: He was so upset.

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Speaker 3: His apartment in New York was destroyed by the collapse

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Speaker 3: of the World Trade Center twin towers.

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Speaker 2: He was in the West Coast, kidding. Yeah, yeah, okay, Wesley.

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Speaker 3: But yeah, I don't know, Like I feel like, what's

416
00:22:54,000 --> 00:22:55,760
Speaker 3: your favorite Wesley Snipes film?

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Speaker 4: Oh my gosh, well, I love Demolition mank you. And

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00:23:01,840 --> 00:23:07,199
Speaker 4: he's also so great in tuong Fu. Yeah, obviously Jackson

419
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Speaker 4: his characters in which one?

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Speaker 2: And wasn't it like Nazema Jackson?

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Speaker 4: Oh yeah, yeah, yeah, yeah, I'm pretty sure that's it. Yeah,

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Speaker 4: and then I've only seen the first Blade movie. I

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Speaker 4: have to watch the others. But he's great as a

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Speaker 4: you know, half vampire slash vampire hunter exactly. Yeah, it's

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Speaker 4: the scientific term.

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Speaker 2: Thomised myself I wouldn't say this.

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Speaker 1: But day Walker, he has a line in Blade, some

428
00:23:37,960 --> 00:23:41,280
Speaker 1: motherfuckers are always trying to ice Skate up Hill that

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Speaker 1: he According to the writer of that film, Wesley Snipes,

430
00:23:47,600 --> 00:23:50,640
Speaker 1: just happened to be saying that. He overheard him using

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00:23:50,680 --> 00:23:54,920
Speaker 1: it in conversation and was like, well, your character should

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00:23:54,920 --> 00:24:01,200
Speaker 1: probably say that, right, that's really cool. That's just actual. Yeah, true,

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Speaker 1: he is Wesley Snipes, both on and off camera. Yeah,

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Speaker 1: all right, let's take a quick break and we'll come

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00:24:08,640 --> 00:24:11,800
Speaker 1: back and talk about how Trump was just kidding on

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00:24:11,880 --> 00:24:27,840
Speaker 1: that tape. JK and we're back, and so beginning of

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00:24:27,840 --> 00:24:30,600
Speaker 1: the weeks and then leaked the tape where Trump was like,

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00:24:30,600 --> 00:24:33,760
Speaker 1: look at these Pentagon documents I gave They gave them

439
00:24:33,800 --> 00:24:36,840
Speaker 1: to me. Isn't it bad that I'm showing them to you?

440
00:24:37,000 --> 00:24:39,800
Speaker 1: Because I could have declassified them when I was president,

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00:24:40,520 --> 00:24:41,680
Speaker 1: but now I can't.

442
00:24:41,680 --> 00:24:42,560
Speaker 2: And that's illegal.

443
00:24:43,000 --> 00:24:45,520
Speaker 1: And the person he was talking to was like, yeah,

444
00:24:45,520 --> 00:24:47,280
Speaker 1: that's what did they say? They were like, yeah, there

445
00:24:47,320 --> 00:24:47,960
Speaker 1: could be trouble.

446
00:24:48,280 --> 00:24:50,200
Speaker 3: They're like, yeah, well now it's a problem.

447
00:24:50,520 --> 00:24:53,480
Speaker 1: Now it's a problem, isn't that. Yeah, huh, can we

448
00:24:53,520 --> 00:24:54,480
Speaker 1: get some cokes in here?

449
00:24:55,160 --> 00:24:57,919
Speaker 4: That's interesting that's nothing, nothing but beef.

450
00:24:58,320 --> 00:25:02,000
Speaker 1: Yeah, that's what I think you SINGA So now, in

451
00:25:02,040 --> 00:25:05,520
Speaker 1: an ABC interview that happened on his plane, he said

452
00:25:05,560 --> 00:25:10,760
Speaker 1: he was holding up newspaper articles and magazine clippings while

453
00:25:10,800 --> 00:25:15,679
Speaker 1: claiming they were classified documents to the person like so

454
00:25:15,720 --> 00:25:19,159
Speaker 1: he was just doing And then he's like, I'm a'm messy.

455
00:25:19,320 --> 00:25:22,000
Speaker 1: I'm a messy man. Look I have documents all over

456
00:25:22,040 --> 00:25:23,520
Speaker 1: the place. Look at it. Look at my desk right

457
00:25:23,520 --> 00:25:25,639
Speaker 1: here on the plane, and like was like, so I

458
00:25:25,680 --> 00:25:29,320
Speaker 1: have things and being like, oh, look at this, it's classified.

459
00:25:29,920 --> 00:25:30,280
Speaker 1: He said.

460
00:25:30,320 --> 00:25:32,520
Speaker 3: At one point he goes, did I use the word plans?

461
00:25:32,640 --> 00:25:36,440
Speaker 3: What I'm referring to is magazines, newspapers, plans of buildings.

462
00:25:36,440 --> 00:25:38,440
Speaker 3: I had plans of buildings, you know, building plans. I

463
00:25:38,440 --> 00:25:39,679
Speaker 3: had plans of a golf course.

464
00:25:40,200 --> 00:25:44,080
Speaker 1: Ye, lots of plans. There are things that are called

465
00:25:44,119 --> 00:25:46,800
Speaker 1: plans that can refer to anything.

466
00:25:46,880 --> 00:25:49,040
Speaker 3: So you're so incoherent. You'll talk to somebody and say,

467
00:25:49,320 --> 00:25:52,640
Speaker 3: Mark Millie wanted me to attack attack Iran, and here

468
00:25:52,680 --> 00:25:54,560
Speaker 3: are the plans on how to do that. Look at

469
00:25:54,600 --> 00:25:57,640
Speaker 3: that you see and they go ooh, here what you're saying?

470
00:25:57,640 --> 00:26:00,680
Speaker 3: Those are just a golf Those are golf course schematics.

471
00:26:00,720 --> 00:26:06,920
Speaker 1: Maybe Brevauh. To be honest with you, I don't think braggadosha,

472
00:26:07,119 --> 00:26:11,480
Speaker 1: So it's bravado bravado, Yes, yeah. In addition to not

473
00:26:11,520 --> 00:26:14,959
Speaker 1: passing any sort of logic test, like from a legal perspective,

474
00:26:15,160 --> 00:26:18,600
Speaker 1: even if he was holding up newspaper articles like he

475
00:26:18,720 --> 00:26:20,760
Speaker 1: is still making it clear that he recognized that he

476
00:26:20,840 --> 00:26:23,600
Speaker 1: had classified documents from sharing them would be a problem.

477
00:26:23,880 --> 00:26:27,520
Speaker 1: And then which I think previously his explanation was that

478
00:26:27,600 --> 00:26:30,080
Speaker 1: he just like didn't know it was bad. And then

479
00:26:30,480 --> 00:26:34,159
Speaker 1: also it just like who made this tape, wasn't it

480
00:26:34,200 --> 00:26:37,840
Speaker 1: the people who were there made the tape, like won't

481
00:26:38,040 --> 00:26:43,840
Speaker 1: aren't Doesn't that indicate that they are cooperating witnesses already

482
00:26:44,000 --> 00:26:46,679
Speaker 1: and can be like no, he was he wasn't showing

483
00:26:46,760 --> 00:26:50,960
Speaker 1: us a Time magazine with him on the cover.

484
00:26:50,960 --> 00:26:53,639
Speaker 3: Because then it's like a non issue, like this dude's

485
00:26:53,680 --> 00:26:56,439
Speaker 3: lost it. He said these were plans to I attack Iran,

486
00:26:56,560 --> 00:27:01,480
Speaker 3: and he was holding a little flip book. That's where

487
00:27:01,480 --> 00:27:04,600
Speaker 3: he was at. I think it's just I mean, you know,

488
00:27:04,760 --> 00:27:08,320
Speaker 3: the CNN released them, but I think Trump leaked them.

489
00:27:08,440 --> 00:27:10,080
Speaker 3: I think he's the one that leaked them. When you

490
00:27:10,080 --> 00:27:12,879
Speaker 3: really think about it, because this is like he did

491
00:27:12,920 --> 00:27:15,199
Speaker 3: the same thing with the Ukraine call. When all that

492
00:27:15,359 --> 00:27:16,959
Speaker 3: was coming out, They're like, what was going on in

493
00:27:16,960 --> 00:27:19,159
Speaker 3: that call? He goes before he was like get the

494
00:27:19,200 --> 00:27:22,560
Speaker 3: transcripts out, look at the transcripts, and then he released

495
00:27:22,600 --> 00:27:23,680
Speaker 3: them and everyone's like, this is.

496
00:27:23,680 --> 00:27:25,120
Speaker 2: Fucking bad for you, bro.

497
00:27:25,720 --> 00:27:28,520
Speaker 3: Yeah, And I think he has this pattern of like

498
00:27:28,640 --> 00:27:31,280
Speaker 3: saying like wanting to just get the shit out there,

499
00:27:31,800 --> 00:27:33,840
Speaker 3: so then he thinks he's getting ahead of it, but

500
00:27:33,880 --> 00:27:36,280
Speaker 3: really it's just so incriminating that it just looks terrible

501
00:27:36,320 --> 00:27:38,240
Speaker 3: on his part, and it just I don't know, follows

502
00:27:38,280 --> 00:27:40,840
Speaker 3: that same logic path for him of being like they

503
00:27:40,920 --> 00:27:43,679
Speaker 3: say it's bad, get the tapes out, and from like

504
00:27:43,760 --> 00:27:46,400
Speaker 3: things I've been reading that like that evidence had been

505
00:27:46,760 --> 00:27:50,920
Speaker 3: floating around his like legal team since like March, right,

506
00:27:50,960 --> 00:27:53,800
Speaker 3: So I don't know, rather than being able to because

507
00:27:53,880 --> 00:27:56,080
Speaker 3: right now all these doings like this, Jack Smith did

508
00:27:56,119 --> 00:27:59,920
Speaker 3: this because he's bad and mean. But yeah, this this

509
00:28:00,560 --> 00:28:03,240
Speaker 3: falls into the same pattern of here, this thing that

510
00:28:03,280 --> 00:28:05,199
Speaker 3: doesn't exonerate me exonerates me.

511
00:28:05,520 --> 00:28:09,679
Speaker 4: Is it like when serial killers like want to be caught.

512
00:28:10,760 --> 00:28:15,400
Speaker 2: Right, please do me in, please take Like.

513
00:28:15,320 --> 00:28:17,719
Speaker 4: When they call the you know, newspaper, and they're like,

514
00:28:17,880 --> 00:28:22,320
Speaker 4: I've left a bunch of clues. I'm the Zodiac Killer.

515
00:28:23,560 --> 00:28:25,560
Speaker 1: Oh did you not know about metadata?

516
00:28:25,840 --> 00:28:26,920
Speaker 2: BTK guy?

517
00:28:27,320 --> 00:28:29,080
Speaker 3: Yeah, you know how to block your number when you

518
00:28:29,080 --> 00:28:29,800
Speaker 3: call a police station.

519
00:28:30,280 --> 00:28:33,320
Speaker 1: Yeah. I think like BTK killer got caught because he

520
00:28:33,480 --> 00:28:38,200
Speaker 1: was like sending clues that were just had the metadata

521
00:28:38,240 --> 00:28:41,760
Speaker 1: of like what computer that we're coming from, like attached

522
00:28:41,760 --> 00:28:44,560
Speaker 1: to them. You were at first like, ah, he was

523
00:28:44,600 --> 00:28:46,600
Speaker 1: doing that on purpose because he wanted to get caught,

524
00:28:46,640 --> 00:28:49,400
Speaker 1: And then the deeper people looked, they were like, no,

525
00:28:49,480 --> 00:28:52,760
Speaker 1: he was just dumb, like he didn't know that he

526
00:28:52,800 --> 00:28:55,800
Speaker 1: thought he was smarter than he was, which always seems

527
00:28:55,840 --> 00:28:58,479
Speaker 1: to be the case with the extremely wealthy and with

528
00:28:58,480 --> 00:29:01,560
Speaker 1: with Trump in particular. But yeah, I do like the

529
00:29:01,600 --> 00:29:05,720
Speaker 1: idea of him leaking them. It's it does. It's similar

530
00:29:05,800 --> 00:29:11,479
Speaker 1: to like the guy who the submarine guy who's like

531
00:29:11,720 --> 00:29:14,320
Speaker 1: telling all these lies about how safe the submarine was,

532
00:29:14,560 --> 00:29:16,920
Speaker 1: but then like he got on the submarine, so like

533
00:29:17,000 --> 00:29:21,440
Speaker 1: he told lies and then convinced himself with his lies

534
00:29:21,680 --> 00:29:24,560
Speaker 1: that it was safe enough to go down there. So yeah,

535
00:29:24,600 --> 00:29:27,840
Speaker 1: like yeah, I totally the only people that Trump is

536
00:29:27,880 --> 00:29:31,880
Speaker 1: talking to on a day to day basis are yes, men, Yeah,

537
00:29:32,080 --> 00:29:35,880
Speaker 1: just sick of fans surrounding. So it's totally plausible that

538
00:29:35,960 --> 00:29:37,640
Speaker 1: he leaked it and was like this will show them.

539
00:29:38,640 --> 00:29:40,520
Speaker 3: Well, it's the same way too, Like if on that

540
00:29:40,680 --> 00:29:42,640
Speaker 3: tape he's like, look at this, He's like, I win

541
00:29:42,800 --> 00:29:45,520
Speaker 3: my case, and peop were like yeah, because they were

542
00:29:45,560 --> 00:29:49,160
Speaker 3: trying to insurrect you even before you were insurrected.

543
00:29:49,200 --> 00:29:50,640
Speaker 2: They're like, what are you just.

544
00:29:50,560 --> 00:29:52,760
Speaker 3: Saying back to him right now, Like it's just a

545
00:29:52,760 --> 00:29:53,640
Speaker 3: bunch of nonsense.

546
00:29:54,080 --> 00:29:58,080
Speaker 1: Yeah, So and then you know, so articles are speculating

547
00:29:58,080 --> 00:30:02,000
Speaker 1: this could signal his new legal strategy where he's claiming

548
00:30:02,040 --> 00:30:04,080
Speaker 1: that he was showing different documents than he was, But

549
00:30:04,120 --> 00:30:08,960
Speaker 1: it really feels like he's just telling lies that get

550
00:30:09,040 --> 00:30:12,040
Speaker 1: him to the end of whatever conversation he's in at

551
00:30:12,040 --> 00:30:15,880
Speaker 1: the moment. Yeah, like, yeah, that's as far in advance,

552
00:30:15,920 --> 00:30:18,080
Speaker 1: he's just keeping the plates spinning base.

553
00:30:18,120 --> 00:30:19,920
Speaker 3: That's what's kind of interesting, because I know, Jack, you've

554
00:30:19,960 --> 00:30:21,600
Speaker 3: been talking a lot, I don't know if it was

555
00:30:21,600 --> 00:30:24,120
Speaker 3: on mic or off Mike, just about his intent with

556
00:30:24,320 --> 00:30:27,880
Speaker 3: keeping the documents and what that is and how confounding it.

557
00:30:27,880 --> 00:30:30,040
Speaker 2: Is that he was like, what what is it?

558
00:30:30,360 --> 00:30:32,280
Speaker 3: And then even now you're like, it may just be

559
00:30:32,400 --> 00:30:35,400
Speaker 3: that this dude is just such a fucking braggart that

560
00:30:35,480 --> 00:30:38,640
Speaker 3: he's like I gotta have these things too, And it's

561
00:30:38,760 --> 00:30:41,240
Speaker 3: there a few people started writing articles about like how

562
00:30:41,480 --> 00:30:43,760
Speaker 3: how is the prosecution like what are they going to

563
00:30:43,800 --> 00:30:46,480
Speaker 3: say his intent is or whatever, and it's like it

564
00:30:46,560 --> 00:30:48,920
Speaker 3: might just be as easy as this guy doesn't think

565
00:30:48,920 --> 00:30:51,320
Speaker 3: the fucking rules apply to him and he likes to

566
00:30:51,520 --> 00:30:55,440
Speaker 3: bandy about these like sensitive documents to like, wow people,

567
00:30:56,320 --> 00:30:57,040
Speaker 3: he thought.

568
00:30:56,760 --> 00:30:59,960
Speaker 1: It was a cool thing to have in his office.

569
00:31:00,480 --> 00:31:02,040
Speaker 1: You know, we're in his bathroom.

570
00:31:02,120 --> 00:31:03,280
Speaker 2: That's his new legal defense.

571
00:31:03,640 --> 00:31:04,360
Speaker 1: Yeah, you're on her.

572
00:31:04,600 --> 00:31:05,960
Speaker 2: He thought it would be a cool.

573
00:31:05,760 --> 00:31:07,920
Speaker 3: Thing to have to show that's it.

574
00:31:08,400 --> 00:31:11,479
Speaker 1: Like truly and like that that is kind of the

575
00:31:11,480 --> 00:31:14,560
Speaker 1: most defensible interpretation. But it also does feel like it

576
00:31:14,640 --> 00:31:19,040
Speaker 1: might be that stupid. It's just he thought this was cool, yeah,

577
00:31:19,040 --> 00:31:21,719
Speaker 1: and was trying to impress women with it.

578
00:31:22,080 --> 00:31:25,240
Speaker 3: What just shows like how he's in this phase right now.

579
00:31:25,520 --> 00:31:28,720
Speaker 3: He's just going he's trusting his worst instincts and just

580
00:31:28,800 --> 00:31:32,360
Speaker 3: doubling down on them right now, Like you'd imagine with

581
00:31:32,560 --> 00:31:35,200
Speaker 3: all these trials going on or all this like legal

582
00:31:35,280 --> 00:31:37,640
Speaker 3: jeopard he's in just to be like, just shut the

583
00:31:37,680 --> 00:31:39,960
Speaker 3: fuck up or whatever. But he can't, and I think

584
00:31:40,000 --> 00:31:42,520
Speaker 3: it's only making him a little Like you're just like

585
00:31:42,560 --> 00:31:46,320
Speaker 3: with release potentially leaking this tape and how he's handling that,

586
00:31:46,800 --> 00:31:48,680
Speaker 3: it just seems like he's all out of sorts. And

587
00:31:48,720 --> 00:31:50,800
Speaker 3: even like with this Egene Carroll thing, like he's just

588
00:31:50,800 --> 00:31:53,000
Speaker 3: going back to like, oh, you sue me, I'm gonna

589
00:31:53,000 --> 00:31:55,480
Speaker 3: sue you, and you're like, but for what, dude, this

590
00:31:55,480 --> 00:31:57,800
Speaker 3: doesn't even make sense, Like you're just giving your lawyers

591
00:31:57,880 --> 00:31:59,200
Speaker 3: money for nothing right now?

592
00:31:59,640 --> 00:32:04,400
Speaker 1: Yeah, her saying the word rape sullied his otherwise sterling

593
00:32:04,480 --> 00:32:07,600
Speaker 1: reputation after a jury had just found out that he

594
00:32:07,760 --> 00:32:10,160
Speaker 1: sexually found that he sexually abused.

595
00:32:09,840 --> 00:32:15,000
Speaker 3: Her, right and their splitting career like legal semantics basically yeah, yeah,

596
00:32:15,040 --> 00:32:16,760
Speaker 3: and this is all again, like I said at the top,

597
00:32:17,160 --> 00:32:19,840
Speaker 3: this happened right after Egin Carroll won the five million

598
00:32:19,880 --> 00:32:22,040
Speaker 3: dollars in the first defamation case. He did that town

599
00:32:22,160 --> 00:32:25,840
Speaker 3: hall and just opened himself up for another lawsuit. And

600
00:32:25,880 --> 00:32:28,440
Speaker 3: he's like, she's lying, she's a whack job. I don't

601
00:32:28,440 --> 00:32:30,400
Speaker 3: even know her. It's not true. And then like, sir,

602
00:32:30,560 --> 00:32:33,880
Speaker 3: you just got in trouble for saying this, Yeah, and

603
00:32:33,960 --> 00:32:37,160
Speaker 3: she's like, and now she's coming for ten million dollars, which, yeah,

604
00:32:37,520 --> 00:32:40,400
Speaker 3: maybe probably you can probably win that one too, But yeah,

605
00:32:40,440 --> 00:32:43,160
Speaker 3: this is just all I think. It just shows that

606
00:32:43,640 --> 00:32:45,680
Speaker 3: I think he's like in this place now where he

607
00:32:45,840 --> 00:32:48,920
Speaker 3: has to just get one over or attack other people,

608
00:32:49,440 --> 00:32:52,200
Speaker 3: and no one's even telling just maybe not this one.

609
00:32:52,320 --> 00:32:54,520
Speaker 3: But I guess his lawyer's like, fine, we'll go to

610
00:32:55,040 --> 00:32:57,640
Speaker 3: court and look even stupider than we already have to.

611
00:32:58,200 --> 00:33:03,520
Speaker 1: Yeah, let's talk food waste. There's there's always horrifying stats

612
00:33:03,520 --> 00:33:08,480
Speaker 1: about just the amount of food that actually goes uneaten,

613
00:33:08,840 --> 00:33:12,360
Speaker 1: like the food that's produced, Like forty percent of food

614
00:33:12,880 --> 00:33:14,480
Speaker 1: is wasted in the United States.

615
00:33:14,760 --> 00:33:18,160
Speaker 3: Yeah, of on Earth. So roughly one point three billion

616
00:33:18,280 --> 00:33:21,320
Speaker 3: metric tons of food produced in the world goes uneaten. Yeah,

617
00:33:21,360 --> 00:33:24,760
Speaker 3: forty percent of that is right here. It's approximately one

618
00:33:24,880 --> 00:33:28,080
Speaker 3: hundred and thirty billion meals if you add it up,

619
00:33:28,120 --> 00:33:30,240
Speaker 3: like what that means, but just from the United States

620
00:33:30,280 --> 00:33:34,520
Speaker 3: waste alone, and then on top of it, transporting the

621
00:33:34,640 --> 00:33:37,640
Speaker 3: uneaten food in the United States, this puts about the

622
00:33:37,680 --> 00:33:41,040
Speaker 3: same amount of carbon dioxide emissions into the atmosphere as

623
00:33:41,160 --> 00:33:43,480
Speaker 3: forty two coal fired power.

624
00:33:43,200 --> 00:33:46,600
Speaker 1: Plants, so just like putting it in the trash and

625
00:33:46,640 --> 00:33:49,040
Speaker 1: having them take the trash.

626
00:33:48,360 --> 00:33:49,320
Speaker 2: And moving it around.

627
00:33:49,640 --> 00:33:49,840
Speaker 1: Yeah.

628
00:33:50,080 --> 00:33:53,240
Speaker 3: H It's just it's a fucking like never ending cycle.

629
00:33:53,280 --> 00:33:55,720
Speaker 3: And I was like, oh, fuck, like I'm definitely guilty of,

630
00:33:56,160 --> 00:33:58,240
Speaker 3: Like you know, I can't tell you how many times

631
00:33:58,280 --> 00:34:00,080
Speaker 3: I've had like a bag, like a third of a

632
00:34:00,080 --> 00:34:03,240
Speaker 3: bag of broccoli florettes just fucking like dying in the

633
00:34:03,240 --> 00:34:04,760
Speaker 3: back of my refrigerator and I'm.

634
00:34:04,600 --> 00:34:08,520
Speaker 1: Like feeling into like broccoli jelly.

635
00:34:09,000 --> 00:34:11,120
Speaker 3: Oh yeah, and like the bag is looking back at me.

636
00:34:11,160 --> 00:34:14,359
Speaker 2: It was like we were rooting for you. I was like, no,

637
00:34:14,440 --> 00:34:19,520
Speaker 2: I'm you know, I wasn't supposed to do this, but yeah.

638
00:34:19,600 --> 00:34:23,680
Speaker 3: So apparently now there's a student at SMU like invented

639
00:34:23,680 --> 00:34:26,200
Speaker 3: a way to monitor in real time of food has

640
00:34:26,239 --> 00:34:29,280
Speaker 3: begun to spoil. And it's just about like monitoring pH levels.

641
00:34:29,520 --> 00:34:31,920
Speaker 3: So if ol food has a higher pH level then

642
00:34:31,960 --> 00:34:35,000
Speaker 3: normal like a normal range, that would indicate spoiled food

643
00:34:35,040 --> 00:34:38,160
Speaker 3: because then like fungi, bacteria can like proliferate in those

644
00:34:38,200 --> 00:34:41,359
Speaker 3: kinds of environments. So those sudden changes can help tip

645
00:34:41,400 --> 00:34:43,279
Speaker 3: people off about to be like, oh there might be

646
00:34:43,320 --> 00:34:47,040
Speaker 3: some food spoilage. And this student basically like created a

647
00:34:47,160 --> 00:34:50,360
Speaker 3: strip that you could put into like food packaging.

648
00:34:50,400 --> 00:34:51,400
Speaker 2: Like it's really small.

649
00:34:51,440 --> 00:34:54,880
Speaker 3: It's not like some gigantic electronic thing, like just using

650
00:34:55,080 --> 00:34:59,239
Speaker 3: you know, very simple electronics to measure like all of

651
00:34:59,280 --> 00:35:02,200
Speaker 3: the concentrat of like hydrogen like in a in a

652
00:35:02,239 --> 00:35:05,560
Speaker 3: given container or something like that. And you can picture

653
00:35:05,600 --> 00:35:08,200
Speaker 3: a system where like these things are scanned, they send

654
00:35:08,200 --> 00:35:10,120
Speaker 3: a measurement back to a computer, and you can begin

655
00:35:10,200 --> 00:35:12,560
Speaker 3: to understand like, oh, this is about to spoil. This

656
00:35:12,719 --> 00:35:16,200
Speaker 3: is fine, this has this much shelf life. And potentially

657
00:35:16,239 --> 00:35:18,600
Speaker 3: i'd imagine like we're at home too, because there's times

658
00:35:18,640 --> 00:35:22,280
Speaker 3: when in my mind I feel like I'll throw away things.

659
00:35:22,320 --> 00:35:24,239
Speaker 3: Not all the time, but when I see like the

660
00:35:24,280 --> 00:35:27,879
Speaker 3: expiration date, my first instinct is it's over. But then

661
00:35:28,719 --> 00:35:31,200
Speaker 3: the immigrant mother who was yelled at me all my life,

662
00:35:31,280 --> 00:35:32,480
Speaker 3: was like, smell it.

663
00:35:32,440 --> 00:35:35,400
Speaker 4: First, Oh, yeah, that's what you've gotten.

664
00:35:35,160 --> 00:35:36,880
Speaker 3: To and then I get up in it, and then

665
00:35:36,880 --> 00:35:38,640
Speaker 3: I'm like, okay, it's got that sulfuric smell.

666
00:35:38,719 --> 00:35:39,920
Speaker 2: Then maybe it's gone.

667
00:35:39,960 --> 00:35:43,240
Speaker 4: But yeah, I've eaten so much expired quote unquote expired,

668
00:35:43,280 --> 00:35:45,680
Speaker 4: Oh for sure, dude. And I've also eaten food that

669
00:35:45,719 --> 00:35:49,000
Speaker 4: definitely was expired and rotten. I was like, I can't

670
00:35:49,000 --> 00:35:49,840
Speaker 4: throw this away.

671
00:35:50,400 --> 00:35:52,320
Speaker 3: Oh, so you're on the other side, like you will,

672
00:35:52,600 --> 00:35:54,160
Speaker 3: you will go down with the ship.

673
00:35:55,080 --> 00:36:00,640
Speaker 1: I mean.

674
00:36:00,360 --> 00:36:03,080
Speaker 4: No, I mean it depends on dairy. No I won't.

675
00:36:03,120 --> 00:36:09,400
Speaker 4: But like I mean, like definitely past its prime, avocados, bananas,

676
00:36:09,440 --> 00:36:13,120
Speaker 4: like produce I'm more likely to to fuck with if

677
00:36:13,120 --> 00:36:17,560
Speaker 4: it is actively rotting. Also, I think that most of

678
00:36:17,600 --> 00:36:21,520
Speaker 4: the food waste that does get thrown out is actually

679
00:36:22,719 --> 00:36:26,920
Speaker 4: uneaten nachos because they're too soggy and no one So

680
00:36:27,239 --> 00:36:29,360
Speaker 4: you know, it all.

681
00:36:29,200 --> 00:36:32,759
Speaker 1: Comes back to nacho waste. Just send them my way.

682
00:36:33,040 --> 00:36:34,680
Speaker 2: Nacho waste is in its own category.

683
00:36:35,000 --> 00:36:37,160
Speaker 1: Yeah, they actually don't count it.

684
00:36:39,760 --> 00:36:39,880
Speaker 2: Yea.

685
00:36:42,239 --> 00:36:44,520
Speaker 3: It's the dark the dark side of food waste.

686
00:36:44,600 --> 00:36:48,839
Speaker 1: Yeah, this definitely makes sense. It's always felt like when

687
00:36:48,920 --> 00:36:51,279
Speaker 1: when you take a step back, like the idea that

688
00:36:51,320 --> 00:36:55,040
Speaker 1: we just have this like estimate on the food packaging

689
00:36:55,840 --> 00:36:58,279
Speaker 1: and then the only other option is like, I don't know,

690
00:36:58,440 --> 00:37:01,520
Speaker 1: maybe taste it, see if it makes you a little

691
00:37:01,520 --> 00:37:03,759
Speaker 1: bit sick, right, and if it doesn't, then you can

692
00:37:03,800 --> 00:37:05,200
Speaker 1: probably have a little bit more.

693
00:37:05,239 --> 00:37:07,000
Speaker 3: Or just to optimize too, to know, like at a

694
00:37:07,000 --> 00:37:09,240
Speaker 3: certain point of like moving produce to be like, actually,

695
00:37:09,280 --> 00:37:10,840
Speaker 3: it needs to go to market now, and if it

696
00:37:10,880 --> 00:37:13,480
Speaker 3: can't go to like a store, then send it to

697
00:37:13,600 --> 00:37:15,759
Speaker 3: some kind of food pantry that can make use of

698
00:37:15,800 --> 00:37:18,080
Speaker 3: the food, right, but just to get ahead of it

699
00:37:18,200 --> 00:37:22,200
Speaker 3: rather than like, oh, the shipment arrived and it's all fucked. Yeah,

700
00:37:22,320 --> 00:37:24,319
Speaker 3: got to throw it away now, send the trucks in

701
00:37:24,360 --> 00:37:27,400
Speaker 3: to drive you know, forty two coal fired power.

702
00:37:27,200 --> 00:37:28,799
Speaker 2: Plants worth of emissions across the well.

703
00:37:28,760 --> 00:37:31,560
Speaker 4: There's that what's the thing, And there might be a

704
00:37:31,600 --> 00:37:35,360
Speaker 4: few of them, but there's like a food delivery service

705
00:37:35,480 --> 00:37:37,759
Speaker 4: food yeah and perfect Yeah, because like a lot of

706
00:37:37,800 --> 00:37:42,200
Speaker 4: grocery stores won't sell food that they deem like ugly

707
00:37:42,680 --> 00:37:45,879
Speaker 4: or if it's like misshapen, or if a carrot had

708
00:37:46,080 --> 00:37:48,959
Speaker 4: like looks like a penis. You've seen those, Oh, yeah,

709
00:37:49,080 --> 00:37:50,920
Speaker 4: they won't sell them in the grocery store. And then

710
00:37:51,000 --> 00:37:52,680
Speaker 4: most of that food gets thrown away.

711
00:37:53,239 --> 00:37:53,520
Speaker 2: Yeah.

712
00:37:53,600 --> 00:37:55,680
Speaker 4: So there's all these things that we could be doing

713
00:37:55,800 --> 00:37:59,040
Speaker 4: to eliminate food waste. And on the other end of it,

714
00:37:59,080 --> 00:38:02,520
Speaker 4: I think that someone really needs to invent mister fusion

715
00:38:02,800 --> 00:38:04,359
Speaker 4: from Back to the Future too.

716
00:38:04,440 --> 00:38:08,040
Speaker 1: Yes, yes, yeah, to use the food.

717
00:38:08,160 --> 00:38:10,799
Speaker 4: Yeah, the food that is like does need to be

718
00:38:10,960 --> 00:38:14,040
Speaker 4: thrown away we can recycle it and turn it into.

719
00:38:15,200 --> 00:38:17,880
Speaker 3: All our all of our memories of the mister Fusion.

720
00:38:17,920 --> 00:38:19,960
Speaker 3: On the back of that Dolorean is putting a banana

721
00:38:20,080 --> 00:38:21,200
Speaker 3: peel in the mister Fusion.

722
00:38:21,400 --> 00:38:25,080
Speaker 4: Yeah, banana peel, like maybe like a crumpled up napkin

723
00:38:25,320 --> 00:38:27,719
Speaker 4: and then a can of I want to say, like

724
00:38:27,880 --> 00:38:29,480
Speaker 4: Miller High Life or something.

725
00:38:31,760 --> 00:38:34,719
Speaker 3: Right, yeah, the thing like it's also super like you

726
00:38:34,760 --> 00:38:37,040
Speaker 3: know what I know in France, they they passed the

727
00:38:37,120 --> 00:38:39,280
Speaker 3: law like in the last couple of years that's basically saying,

728
00:38:39,320 --> 00:38:42,320
Speaker 3: like a SuperM like large grocery stores, it is illegal

729
00:38:42,400 --> 00:38:44,600
Speaker 3: for you to throw food out.

730
00:38:44,239 --> 00:38:46,759
Speaker 2: Like that's you have to donate it.

731
00:38:47,040 --> 00:38:49,600
Speaker 3: Whereas like we see constant things like on TikTok you

732
00:38:49,640 --> 00:38:51,719
Speaker 3: see like workers being like, look how much should we

733
00:38:51,719 --> 00:38:53,880
Speaker 3: just threw away at Starbucks, like look at all this

734
00:38:54,120 --> 00:38:56,200
Speaker 3: or grocery stores and things like that, and then we

735
00:38:56,280 --> 00:38:58,640
Speaker 3: lock it up because we don't want people to access

736
00:38:58,719 --> 00:39:01,600
Speaker 3: it because of this, that and the other. But I mean,

737
00:39:01,640 --> 00:39:04,520
Speaker 3: there's so many ways to like optimize this. But you know,

738
00:39:04,680 --> 00:39:06,799
Speaker 3: I think I think one one good step is for

739
00:39:06,840 --> 00:39:09,080
Speaker 3: people just to have an idea of like when food

740
00:39:09,120 --> 00:39:11,920
Speaker 3: is spoiling. Granted, this solution is for like a larger

741
00:39:12,120 --> 00:39:15,160
Speaker 3: like industrial level, right, So two quick pitches.

742
00:39:16,640 --> 00:39:21,080
Speaker 1: One that instead of being a subtle little strip, it's

743
00:39:21,080 --> 00:39:24,280
Speaker 1: a countdown clock that makes a dramatic sound with every

744
00:39:24,360 --> 00:39:27,359
Speaker 1: second that goes by, like the twenty.

745
00:39:27,120 --> 00:39:28,640
Speaker 2: Twenty four it's like.

746
00:39:30,239 --> 00:39:32,799
Speaker 1: And when you get within the last hour, it's like

747
00:39:33,040 --> 00:39:34,920
Speaker 1: a really stressful countdown clock.

748
00:39:35,280 --> 00:39:35,480
Speaker 2: Right.

749
00:39:35,680 --> 00:39:37,719
Speaker 3: Oh, it's like in the in Lost when they have

750
00:39:37,760 --> 00:39:38,960
Speaker 3: to put the numbers in the computer.

751
00:39:39,200 --> 00:39:40,480
Speaker 2: Yeah, and they win too long.

752
00:39:40,520 --> 00:39:44,520
Speaker 1: Like motherfucker, Like their fridge starts taking, starts shaking a

753
00:39:44,520 --> 00:39:50,080
Speaker 1: little bit. Probably not cost effective, but if if they

754
00:39:50,120 --> 00:39:52,319
Speaker 1: could figure it out. And then the other I thought

755
00:39:52,320 --> 00:39:54,799
Speaker 1: you were going to say this with I guess you

756
00:39:54,840 --> 00:39:57,799
Speaker 1: pitched mister fusion, probably a better idea, But I thought

757
00:39:57,800 --> 00:39:59,920
Speaker 1: you're gonna say someone needs to invent a company that

758
00:40:00,120 --> 00:40:03,120
Speaker 1: only sends out dick shaped carrots, because I did try

759
00:40:03,160 --> 00:40:05,120
Speaker 1: and get venture for that.

760
00:40:05,280 --> 00:40:07,359
Speaker 3: Stop trying to launch this business, Jack on the show.

761
00:40:07,640 --> 00:40:10,400
Speaker 3: We've had to edit this out every time. You and

762
00:40:10,960 --> 00:40:13,040
Speaker 3: I feel like we can't edit around it this time,

763
00:40:13,160 --> 00:40:13,759
Speaker 3: but we're not.

764
00:40:14,480 --> 00:40:18,440
Speaker 1: Who else is tired of using the carrot peeler to

765
00:40:18,640 --> 00:40:21,040
Speaker 1: just peel it down so it looks exactly like a

766
00:40:21,080 --> 00:40:24,040
Speaker 1: dick every time. What if the carrots already came in

767
00:40:24,120 --> 00:40:27,239
Speaker 1: that shape, you know, and.

768
00:40:26,440 --> 00:40:28,520
Speaker 3: And I would be the head of it, the philosopher

769
00:40:28,600 --> 00:40:33,880
Speaker 3: King Renee Dick carrots like Descartes. It's a Cartesian thing.

770
00:40:33,880 --> 00:40:35,000
Speaker 3: Don't worry about it anymore.

771
00:40:37,800 --> 00:40:45,279
Speaker 1: Hero it carrot? Yeah anyway, But but are you? Are you?

772
00:40:45,560 --> 00:40:47,040
Speaker 2: How are you with the food waste? Jack?

773
00:40:47,719 --> 00:40:51,360
Speaker 1: I feel like I when I waste food, it's because

774
00:40:51,560 --> 00:40:55,640
Speaker 1: of a personal fit, like a disconnect between my purchasing

775
00:40:55,680 --> 00:41:00,319
Speaker 1: decisions and the act of like my actual ability have

776
00:41:00,400 --> 00:41:03,239
Speaker 1: the energy to prepare the food when it comes time

777
00:41:03,400 --> 00:41:06,319
Speaker 1: to Yeah, this made me like Google, there's a Mayo

778
00:41:06,480 --> 00:41:10,960
Speaker 1: Clinic article seven ways to reduce food waste, and like

779
00:41:11,040 --> 00:41:14,759
Speaker 1: they talk about just taking an inventory before you go

780
00:41:14,800 --> 00:41:18,960
Speaker 1: to the store or just like generally simplest thing that

781
00:41:19,000 --> 00:41:23,680
Speaker 1: I would tell every time I've overbought it was because

782
00:41:23,719 --> 00:41:28,799
Speaker 1: I didn't like it inventory. Yeah, I overbuy butter so much,

783
00:41:29,239 --> 00:41:33,160
Speaker 1: half full butter things. But yeah, I don't know butter

784
00:41:33,360 --> 00:41:37,600
Speaker 1: and produce. I feel like I always I don't know.

785
00:41:37,960 --> 00:41:41,359
Speaker 1: I have learned now, Like we used to buy these

786
00:41:41,400 --> 00:41:44,680
Speaker 1: like tubs of mixed greens. It's like, well we're gonna

787
00:41:44,719 --> 00:41:48,479
Speaker 1: eat some fucking salad. Salad. Everything every meal we eat

788
00:41:48,880 --> 00:41:51,919
Speaker 1: is just gonna be a nice, fresh prepared salad as

789
00:41:51,960 --> 00:41:55,080
Speaker 1: the base this week. Yeah, and I gave up on that,

790
00:41:55,320 --> 00:41:57,520
Speaker 1: like you know, ten fifteen years ago.

791
00:41:57,800 --> 00:41:59,680
Speaker 4: I think one of the things on that list should be,

792
00:41:59,719 --> 00:42:05,040
Speaker 4: like have realistic expectations about what you're actually going to

793
00:42:05,120 --> 00:42:07,759
Speaker 4: eat or have the energy to prepare because I'll buy

794
00:42:07,760 --> 00:42:11,680
Speaker 4: a bunch of like six bananas in a bundle, and

795
00:42:11,719 --> 00:42:15,040
Speaker 4: I'm like, let's be real, Caitlin, You're not going to

796
00:42:15,120 --> 00:42:18,359
Speaker 4: eat a banana every day for six days in a row.

797
00:42:18,440 --> 00:42:19,840
Speaker 4: You're just not that healthy.

798
00:42:20,360 --> 00:42:24,600
Speaker 1: But know yourself, because our family has never had a

799
00:42:24,640 --> 00:42:28,760
Speaker 1: banana spoil on us, like I think mainly because kids

800
00:42:29,120 --> 00:42:32,720
Speaker 1: love bananas and like they're just a thing that they are,

801
00:42:32,760 --> 00:42:35,880
Speaker 1: like the original snack food that has its own wrapping.

802
00:42:36,000 --> 00:42:38,719
Speaker 1: You can just throw it in a backpack and you know,

803
00:42:39,000 --> 00:42:39,560
Speaker 1: break it out.

804
00:42:39,800 --> 00:42:42,200
Speaker 4: I didn't realize your children were minions.

805
00:42:42,920 --> 00:42:43,359
Speaker 2: They are.

806
00:42:44,040 --> 00:42:47,120
Speaker 3: My youngest is kind of a miniat bananas or something.

807
00:42:47,480 --> 00:42:48,280
Speaker 1: What's minions?

808
00:42:48,560 --> 00:42:50,240
Speaker 2: Love? But yanas Miles?

809
00:42:50,800 --> 00:42:53,000
Speaker 1: But did you just ask.

810
00:42:55,400 --> 00:42:59,800
Speaker 3: God, sir, why did I open my mouth?

811
00:43:01,160 --> 00:43:04,000
Speaker 1: Just wait, you're gonna look back in three four years

812
00:43:04,040 --> 00:43:06,160
Speaker 1: and be amazed.

813
00:43:07,960 --> 00:43:09,360
Speaker 2: PM pre minion life.

814
00:43:09,600 --> 00:43:12,560
Speaker 3: Yeah, yeah, I know, I know, but I think the

815
00:43:12,719 --> 00:43:16,000
Speaker 3: one thing that like I've I've gotten better at doing

816
00:43:16,200 --> 00:43:19,120
Speaker 3: is knowing when shit's gotten bad and then figuring out

817
00:43:19,120 --> 00:43:19,520
Speaker 3: a way.

818
00:43:19,360 --> 00:43:20,560
Speaker 2: To fucking throw it all together.

819
00:43:20,719 --> 00:43:20,959
Speaker 1: Yeah.

820
00:43:21,120 --> 00:43:23,759
Speaker 3: Like the other day, I made a bunch of like

821
00:43:23,960 --> 00:43:27,319
Speaker 3: I overbought taco meat, Like you know, I went to

822
00:43:27,320 --> 00:43:29,880
Speaker 3: the Conte City, Like, I got like prepared carnisada and

823
00:43:29,920 --> 00:43:32,040
Speaker 3: things like that. I thought a lot of people were

824
00:43:32,080 --> 00:43:34,439
Speaker 3: gonna be eating. Half the people were like already eight.

825
00:43:34,560 --> 00:43:36,360
Speaker 3: So I had all this like meat left over and

826
00:43:36,400 --> 00:43:38,320
Speaker 3: like vegetables and things I was gonna grill. I just

827
00:43:38,360 --> 00:43:39,879
Speaker 3: turned that into a big taco soup.

828
00:43:40,640 --> 00:43:41,120
Speaker 2: Yeah.

829
00:43:41,360 --> 00:43:43,960
Speaker 3: Soon I was smooth dodgs a waist bullet.

830
00:43:44,080 --> 00:43:44,480
Speaker 2: Yeah.

831
00:43:44,719 --> 00:43:50,160
Speaker 1: Soup and smoothies are the key to like when something's spoiling,

832
00:43:50,200 --> 00:43:53,719
Speaker 1: When when the alarm starts going. I was like, and

833
00:43:53,840 --> 00:43:58,439
Speaker 1: like the container starts shaking in in your refrigerator, it's

834
00:43:58,480 --> 00:44:00,680
Speaker 1: time to get the blender out. It's time to get

835
00:44:00,719 --> 00:44:04,080
Speaker 1: the you know, slow cooker out and just dump that

836
00:44:04,120 --> 00:44:05,840
Speaker 1: in there. The male Clan, We'll link off to the

837
00:44:05,880 --> 00:44:09,000
Speaker 1: male Clinic article in the footnotes because it also is

838
00:44:09,040 --> 00:44:13,120
Speaker 1: like here's a basic soup recipe, Like just have these

839
00:44:13,160 --> 00:44:16,640
Speaker 1: things on hand and you can always just dump like

840
00:44:16,760 --> 00:44:20,440
Speaker 1: whatever your leftover things are into a pot with this

841
00:44:20,480 --> 00:44:24,040
Speaker 1: stuff greens, throwing greens in a smoothie, like throwing the

842
00:44:24,120 --> 00:44:28,480
Speaker 1: mixed salad in with like some bananas and berries and

843
00:44:28,840 --> 00:44:32,160
Speaker 1: you know almond milk. That that works pretty well. It's

844
00:44:32,200 --> 00:44:41,040
Speaker 1: a good way to just choke down some some saladtoothies hidden.

845
00:44:43,160 --> 00:44:46,840
Speaker 4: When when you were like, oh, yeah, soups and shape

846
00:44:46,840 --> 00:44:49,360
Speaker 4: and smoothies, I thought you were going to say that

847
00:44:49,400 --> 00:44:52,680
Speaker 4: you should make a talk of smoothie. Yes, and then

848
00:44:53,440 --> 00:44:56,040
Speaker 4: that reminded me of ham.

849
00:44:55,960 --> 00:44:57,239
Speaker 1: Shake, ham shake.

850
00:44:57,800 --> 00:45:02,080
Speaker 4: Cow back just an excuse to call back to hamshake hamshake.

851
00:45:02,480 --> 00:45:04,920
Speaker 1: I mean, give us your recipes, folks, let us know

852
00:45:05,320 --> 00:45:07,920
Speaker 1: specifically if you have a recipe for a hamshake.

853
00:45:08,040 --> 00:45:09,040
Speaker 2: That he feels pretty good.

854
00:45:09,280 --> 00:45:12,439
Speaker 1: Yeah, all right, let's take a quick break and then

855
00:45:12,760 --> 00:45:16,760
Speaker 1: we are going to introduce you to our favorite new

856
00:45:17,360 --> 00:45:18,600
Speaker 1: niece of Tom Hanks.

857
00:45:19,040 --> 00:45:21,480
Speaker 2: We'll be right back. Nice. What do you call that?

858
00:45:21,600 --> 00:45:22,200
Speaker 1: Neo? Nice?

859
00:45:22,800 --> 00:45:38,040
Speaker 2: I only speak Neponese, And we're back.

860
00:45:38,440 --> 00:45:41,640
Speaker 1: And claim to fame. You know, sometimes you just got

861
00:45:41,640 --> 00:45:44,520
Speaker 1: to hand it to the networks when they come up

862
00:45:44,520 --> 00:45:47,440
Speaker 1: with a premise and it is like, you, guys, know

863
00:45:47,480 --> 00:45:50,759
Speaker 1: what you're good at? This is that that you you

864
00:45:50,840 --> 00:45:53,000
Speaker 1: have done a nice job with this one. This is

865
00:45:53,080 --> 00:45:56,239
Speaker 1: a reality show I just became aware of where it's

866
00:45:56,280 --> 00:45:59,000
Speaker 1: a bunch of people who are related to famous people

867
00:45:59,600 --> 00:46:02,120
Speaker 1: and and they but that is like who they are

868
00:46:02,160 --> 00:46:04,799
Speaker 1: related to is the secret. And then they're like they

869
00:46:04,840 --> 00:46:06,600
Speaker 1: have to like game it out and try and guess

870
00:46:06,600 --> 00:46:10,399
Speaker 1: who the other one is. And once somebody stands up

871
00:46:10,920 --> 00:46:15,279
Speaker 1: in front of God and everyone in the panel, the

872
00:46:15,320 --> 00:46:19,120
Speaker 1: non famous Jonas brothers who hosts the show and stand

873
00:46:19,200 --> 00:46:23,560
Speaker 1: up and they say, I think your famous relative is

874
00:46:23,880 --> 00:46:26,680
Speaker 1: If they guess it right, please, your ass is gone,

875
00:46:27,520 --> 00:46:34,560
Speaker 1: miss though, are you gone? You come for the king's cousins,

876
00:46:34,760 --> 00:46:36,239
Speaker 1: nephew you best not.

877
00:46:36,360 --> 00:46:39,880
Speaker 3: Miss that's not miss You come for the King's wife's

878
00:46:40,040 --> 00:46:45,160
Speaker 3: sisters niece on that side. Then yeah, but yeah, this

879
00:46:45,239 --> 00:46:49,440
Speaker 3: show uh again this prepare yourself because as the writer's

880
00:46:49,440 --> 00:46:52,080
Speaker 3: strike goes on, you're only going to start getting this

881
00:46:52,239 --> 00:46:58,360
Speaker 3: unscripted like drama just spectacle bullshit. But this was quite

882
00:46:58,360 --> 00:47:01,759
Speaker 3: the spectacle. How do we set this up?

883
00:47:02,040 --> 00:47:05,640
Speaker 1: So it's the first episode of season two where you know,

884
00:47:05,719 --> 00:47:07,920
Speaker 1: one of the early episodes of season two and nobody's

885
00:47:07,960 --> 00:47:18,480
Speaker 1: been voted off yet and season two maybe and the

886
00:47:18,520 --> 00:47:22,799
Speaker 1: first like for the first time in this season, maybe

887
00:47:22,800 --> 00:47:25,000
Speaker 1: it's the first episode I have to assume for paising

888
00:47:25,040 --> 00:47:28,359
Speaker 1: purposes as the first episode. Somebody says I think I

889
00:47:28,400 --> 00:47:33,359
Speaker 1: got it, folks, and stands up across from a young

890
00:47:33,400 --> 00:47:40,719
Speaker 1: woman and says, I think your famous relation is Tom Hanks.

891
00:47:40,760 --> 00:47:43,960
Speaker 1: And they then turned to the screen and it is

892
00:47:44,040 --> 00:47:46,720
Speaker 1: revealed she is the niece of Tom.

893
00:47:46,560 --> 00:47:49,920
Speaker 3: Hanks and therefore eliminated from the show.

894
00:47:50,680 --> 00:47:56,200
Speaker 1: And then we get a great, a great moment of.

895
00:47:56,800 --> 00:47:58,320
Speaker 2: Just a measured response, I think.

896
00:47:58,200 --> 00:48:04,880
Speaker 1: A measured response from her. What wow, she's walking well, no.

897
00:48:05,000 --> 00:48:10,320
Speaker 3: Freaking freaking bench the freaking poster of the Working Force?

898
00:48:10,640 --> 00:48:11,400
Speaker 5: Are you kidding me?

899
00:48:12,560 --> 00:48:12,960
Speaker 2: Right now?

900
00:48:13,000 --> 00:48:16,160
Speaker 3: She's upset because one of the clues was about like

901
00:48:16,280 --> 00:48:18,400
Speaker 3: one clue was that the like there was a movie

902
00:48:18,400 --> 00:48:20,160
Speaker 3: poster that featured a bench, and she's.

903
00:48:20,080 --> 00:48:23,319
Speaker 2: Like, why would you do that? Fucking benches? That's what

904
00:48:23,360 --> 00:48:24,600
Speaker 2: she's screaming about. Benches right now?

905
00:48:24,840 --> 00:48:29,160
Speaker 4: Okay, scream she scream she screamed, she screamed, why why beds?

906
00:48:29,800 --> 00:48:33,840
Speaker 5: There's literally no references benches on any other movie.

907
00:48:34,560 --> 00:48:36,160
Speaker 1: Even Gabriel found out.

908
00:48:36,160 --> 00:48:38,520
Speaker 5: Anybody been like smart.

909
00:48:40,040 --> 00:48:40,640
Speaker 1: That's cold.

910
00:48:41,640 --> 00:48:43,960
Speaker 2: They show Gabriel, I didn't even get.

911
00:48:50,239 --> 00:48:52,440
Speaker 5: I did not have that level of drama for the

912
00:48:52,440 --> 00:48:55,000
Speaker 5: first guess off on my claim to fame, Bingo.

913
00:48:54,800 --> 00:49:00,200
Speaker 2: Card, I don't deserve it more camera time. I to

914
00:49:00,280 --> 00:49:04,400
Speaker 2: be here longer, and we're only on guess off number one.

915
00:49:04,800 --> 00:49:08,240
Speaker 4: I think the right choice was made.

916
00:49:08,680 --> 00:49:09,040
Speaker 2: No one.

917
00:49:10,080 --> 00:49:12,560
Speaker 3: No one expected that no one.

918
00:49:14,200 --> 00:49:17,399
Speaker 4: Wanted more screen time so that she could be not

919
00:49:17,520 --> 00:49:20,799
Speaker 4: just the niece of Tom Hanks. She is she trying

920
00:49:20,800 --> 00:49:23,080
Speaker 4: to be the next Tom Hanks.

921
00:49:23,320 --> 00:49:27,360
Speaker 1: I feel like every relative goes on this show, being

922
00:49:27,480 --> 00:49:29,600
Speaker 1: like one day Tom Hanks is probably gonna go on

923
00:49:29,640 --> 00:49:31,560
Speaker 1: this show and people are gonna be like, I don't

924
00:49:31,560 --> 00:49:34,839
Speaker 1: know who who that loser is related to, and then

925
00:49:35,120 --> 00:49:37,080
Speaker 1: it'll be revealed to me and everyone will be.

926
00:49:37,000 --> 00:49:44,520
Speaker 3: Like, whoa, you're more screen time? That is such a

927
00:49:44,719 --> 00:49:48,759
Speaker 3: like as someone who is watching people raise kids, like

928
00:49:48,840 --> 00:49:52,760
Speaker 3: I'm seeing how that this form of behavior has probably

929
00:49:52,760 --> 00:49:54,360
Speaker 3: been happening forever.

930
00:49:54,560 --> 00:49:57,560
Speaker 2: Like just like be like I should have got this.

931
00:49:57,880 --> 00:49:59,799
Speaker 2: You'd be like, no, you.

932
00:49:59,440 --> 00:50:02,759
Speaker 3: Came on it show, Okay, this isn't We're not talking

933
00:50:02,760 --> 00:50:06,280
Speaker 3: about human rights here, came on a game show where

934
00:50:06,320 --> 00:50:09,319
Speaker 3: you were using what little leverage you had to make

935
00:50:09,320 --> 00:50:13,120
Speaker 3: yourself appealing to a television network to get on a show,

936
00:50:13,239 --> 00:50:16,279
Speaker 3: and guess what the context of it was. People are

937
00:50:16,280 --> 00:50:18,640
Speaker 3: gonna try and guess who you're related to, and you

938
00:50:18,680 --> 00:50:20,080
Speaker 3: had your you had your moment there.

939
00:50:20,239 --> 00:50:23,000
Speaker 1: I don't deserve this. I should have had more care,

940
00:50:23,120 --> 00:50:27,239
Speaker 1: I should have more camera time. Is just a two

941
00:50:27,320 --> 00:50:32,600
Speaker 1: sentence summation of a whole, like forty of the population.

942
00:50:32,719 --> 00:50:36,520
Speaker 3: I feel like, yeah, not a great look, not a

943
00:50:36,520 --> 00:50:38,719
Speaker 3: great look, but hey, we love to see this. And

944
00:50:38,760 --> 00:50:42,000
Speaker 3: again this is probably, like I'm sure after like this

945
00:50:42,120 --> 00:50:44,920
Speaker 3: clip is going like viral on the internet, Like yes, okay,

946
00:50:45,440 --> 00:50:47,520
Speaker 3: if we just get a bunch of people to embarrass

947
00:50:47,560 --> 00:50:50,200
Speaker 3: themselves in their real lives and a reality show, maybe

948
00:50:50,200 --> 00:50:52,760
Speaker 3: we don't need writers and this is our new entertainment.

949
00:50:53,080 --> 00:50:54,440
Speaker 2: Weird shodenfreude.

950
00:50:54,520 --> 00:50:55,759
Speaker 1: So I had him melt down.

951
00:50:56,880 --> 00:51:00,120
Speaker 4: The irony now is that this is her claim to fame.

952
00:51:00,280 --> 00:51:03,440
Speaker 3: Yeah, this melt Yeah, you are going to get more

953
00:51:03,440 --> 00:51:05,839
Speaker 3: camera time. Yeah, this clip will be played over and

954
00:51:05,920 --> 00:51:06,880
Speaker 3: over and over again.

955
00:51:07,280 --> 00:51:10,839
Speaker 4: Yeah, and you'll be known as the scary person who

956
00:51:11,200 --> 00:51:14,920
Speaker 4: had a complete breakdown because you didn't didn't get to

957
00:51:15,080 --> 00:51:18,719
Speaker 4: compete at any challenges on a show that most of

958
00:51:18,800 --> 00:51:20,120
Speaker 4: us didn't even know existed.

959
00:51:20,560 --> 00:51:24,080
Speaker 3: Yeah, yeah, I think that's the irony is that had

960
00:51:24,120 --> 00:51:26,840
Speaker 3: you not done this, honestly, we wouldn't even known you

961
00:51:26,840 --> 00:51:28,439
Speaker 3: were on the show. So in a way, you did

962
00:51:28,440 --> 00:51:29,120
Speaker 3: help yourself.

963
00:51:29,280 --> 00:51:31,799
Speaker 4: So maybe she's actually a genius and this is all

964
00:51:31,840 --> 00:51:34,400
Speaker 4: a very calculated thing.

965
00:51:35,040 --> 00:51:38,080
Speaker 2: What could her next step? What could her next move be?

966
00:51:38,640 --> 00:51:41,719
Speaker 1: I have to say I do think it's a It's

967
00:51:41,760 --> 00:51:46,120
Speaker 1: an easy clue, and I have to think that the

968
00:51:46,160 --> 00:51:47,640
Speaker 1: producers of the show.

969
00:51:47,520 --> 00:51:49,359
Speaker 2: Were like, all right, we gotta get her out of here.

970
00:51:49,440 --> 00:51:52,719
Speaker 1: Burn the dead weight. She's kind of not fun to

971
00:51:52,760 --> 00:51:56,279
Speaker 1: watch on camera, but that this is the best use

972
00:51:56,320 --> 00:51:58,040
Speaker 1: of someone who's not fun to watch on camera.

973
00:51:58,480 --> 00:51:59,759
Speaker 2: Know she is fun to watch?

974
00:52:00,080 --> 00:52:03,440
Speaker 1: Yes, yeah, that's what they fucked up. Actually, yeah, so

975
00:52:03,800 --> 00:52:06,600
Speaker 1: this is the producers of this show fucking up. Her

976
00:52:06,640 --> 00:52:10,600
Speaker 1: response after the episode, she posted on Instagram. So I

977
00:52:10,719 --> 00:52:14,640
Speaker 1: had a meltdown, Say what you want. I'm not spoiled

978
00:52:14,760 --> 00:52:17,280
Speaker 1: or entitled or crazy. I can just be a little

979
00:52:17,320 --> 00:52:21,240
Speaker 1: expressive and vocal, shall we say. Deflecting from the moment

980
00:52:21,280 --> 00:52:24,560
Speaker 1: you step in the house is not easy when everyone

981
00:52:24,680 --> 00:52:29,000
Speaker 1: already suspects who you are. I just it's I'm sorry,

982
00:52:29,080 --> 00:52:31,560
Speaker 1: so funny, Like the premise of the show is so

983
00:52:31,800 --> 00:52:34,919
Speaker 1: funny because this is the first time she's ever been

984
00:52:34,960 --> 00:52:37,680
Speaker 1: around a group of strangers, and like probably a lot

985
00:52:37,719 --> 00:52:39,120
Speaker 1: of these people have ever been around a group of

986
00:52:39,120 --> 00:52:41,640
Speaker 1: strangers where they haven't found and a bit like found

987
00:52:41,640 --> 00:52:45,680
Speaker 1: a way. Her life skill is finding a way within

988
00:52:45,840 --> 00:52:49,160
Speaker 1: three seconds to seamlessly drop that she is the niece

989
00:52:49,200 --> 00:52:52,480
Speaker 1: of Tom Hanks right right right by marriage to her mom,

990
00:52:52,520 --> 00:52:54,080
Speaker 1: who is Rita Wilson's sister.

991
00:52:55,400 --> 00:52:58,319
Speaker 3: Yeah, I didn't realize Rita Wilson's name was not Reata.

992
00:52:58,520 --> 00:53:00,319
Speaker 3: I'm just like looking and I'm just like trying to

993
00:53:00,320 --> 00:53:04,160
Speaker 3: look learn more about this family. Her name is Margarita Ibrahimoff.

994
00:53:04,840 --> 00:53:08,840
Speaker 3: There you go, and she's like a Greek. She's Greek,

995
00:53:08,880 --> 00:53:11,040
Speaker 3: and I think her father is like Albanian. But anyway,

996
00:53:11,080 --> 00:53:13,000
Speaker 3: it's just like and then also, this is what's funny

997
00:53:13,080 --> 00:53:15,319
Speaker 3: to think that this woman and Chet Hanks are.

998
00:53:15,280 --> 00:53:19,560
Speaker 1: Cousins, Yes, which tracks.

999
00:53:19,239 --> 00:53:22,319
Speaker 3: What's that fucking what? What are these parts? What are

1000
00:53:22,360 --> 00:53:26,040
Speaker 3: these events like? Because I've seen two people now. Colin

1001
00:53:26,080 --> 00:53:30,520
Speaker 3: Hanks seems the most put together of all the marriage. Yeah, obviously, yes,

1002
00:53:30,880 --> 00:53:33,040
Speaker 3: let's not let's not mix that up. But yeah, now

1003
00:53:33,040 --> 00:53:35,240
Speaker 3: to see the the Wilson cohort.

1004
00:53:34,880 --> 00:53:40,040
Speaker 1: Coming is strong. That strong.

1005
00:53:40,640 --> 00:53:43,759
Speaker 3: I think specific those genetics are the ones that are

1006
00:53:43,800 --> 00:53:44,359
Speaker 3: popping off.

1007
00:53:44,400 --> 00:53:47,399
Speaker 4: I think, yeah, I would watch a show with this

1008
00:53:47,640 --> 00:53:51,800
Speaker 4: niece whatever her name is, still don't even know and

1009
00:53:52,239 --> 00:53:57,440
Speaker 4: Chad Hanks just like hanging out and being scary.

1010
00:53:57,640 --> 00:54:03,080
Speaker 1: Okay, more of her response. My uncle is awesome and

1011
00:54:03,160 --> 00:54:06,160
Speaker 1: he has known and experienced my tantrum since I was

1012
00:54:06,200 --> 00:54:09,680
Speaker 1: a kid. He would actually imitate me have a meltdown

1013
00:54:09,760 --> 00:54:13,440
Speaker 1: as a kid. That's like, you can't really, that's kind

1014
00:54:13,480 --> 00:54:17,040
Speaker 1: of self awareness here. It's kind of like mean spirited

1015
00:54:17,080 --> 00:54:20,360
Speaker 1: for Tom Hanks to be imitating a child having a meltdown.

1016
00:54:21,080 --> 00:54:25,200
Speaker 1: It suggests that it was like really like noticeable and

1017
00:54:25,520 --> 00:54:28,880
Speaker 1: like someone was like, someone's gotta do something, like how

1018
00:54:28,880 --> 00:54:31,080
Speaker 1: do we I know it's not a good look, but

1019
00:54:31,120 --> 00:54:32,719
Speaker 1: I really wanted to play along with the rest of

1020
00:54:32,719 --> 00:54:34,960
Speaker 1: the cast. Hope I made you laugh at least until

1021
00:54:35,000 --> 00:54:40,200
Speaker 1: I make you dot dot dot laugh again. Ah with

1022
00:54:40,280 --> 00:54:44,960
Speaker 1: the hashtag justice for Carly Cool No, No, no, were

1023
00:54:44,960 --> 00:54:45,520
Speaker 1: you serious?

1024
00:54:47,239 --> 00:54:53,000
Speaker 2: Fuck you No, you don't know? Justice mother that justice

1025
00:54:53,080 --> 00:54:57,480
Speaker 2: for Carly shit, she really she really is.

1026
00:54:57,880 --> 00:55:01,480
Speaker 3: She really thinks the world is against So that's what's beautif. Wow,

1027
00:55:01,680 --> 00:55:03,400
Speaker 3: But then there is something to like thinking of, like

1028
00:55:03,520 --> 00:55:06,879
Speaker 3: your tantrums are so bad. Adults were like coming out

1029
00:55:06,880 --> 00:55:11,480
Speaker 3: of their character to mock you, you.

1030
00:55:10,000 --> 00:55:10,359
Speaker 2: Know what I mean?

1031
00:55:10,400 --> 00:55:12,520
Speaker 3: Like I wonder if Tom Hanks is like, you know,

1032
00:55:12,640 --> 00:55:14,319
Speaker 3: actually I feel a little bad that I went on.

1033
00:55:14,440 --> 00:55:18,840
Speaker 2: I'm like, well, I want and you know, I shouldn't

1034
00:55:18,840 --> 00:55:19,719
Speaker 2: have done that. I shouldn't have done that.

1035
00:55:19,719 --> 00:55:22,040
Speaker 3: But he's like, she does she just does this every time, Rita,

1036
00:55:22,120 --> 00:55:24,200
Speaker 3: she does it every time. I don't know what's going

1037
00:55:24,239 --> 00:55:26,239
Speaker 3: on or what your sister tells her.

1038
00:55:27,000 --> 00:55:29,960
Speaker 1: He's using his powers of acting to like try and

1039
00:55:30,000 --> 00:55:32,200
Speaker 1: put up a mirror in front of a child.

1040
00:55:32,480 --> 00:55:35,120
Speaker 3: Oh no, right, this is what you look like right now.

1041
00:55:35,200 --> 00:55:36,719
Speaker 1: Like just I just want to like give it back

1042
00:55:36,719 --> 00:55:38,520
Speaker 1: to you. See if like maybe seeing it on grown

1043
00:55:38,600 --> 00:55:42,200
Speaker 1: man like that come together for you that this is

1044
00:55:42,280 --> 00:55:48,880
Speaker 1: unacceptable behavior. But because he doesn't recognize that, like her

1045
00:55:48,920 --> 00:55:54,200
Speaker 1: whole life is that she is Tom Hanks's niece. Therefore,

1046
00:55:54,239 --> 00:56:00,799
Speaker 1: like that interaction becomes formative. Yeah, therefore she and he's like, yeah,

1047
00:56:00,840 --> 00:56:04,360
Speaker 1: that's my thing. Actually, people think it's hilarious when I

1048
00:56:04,440 --> 00:56:08,759
Speaker 1: just like, go off, Are you and your uncle close? Yeah?

1049
00:56:08,800 --> 00:56:12,160
Speaker 3: I mean like he mocks me all the time, like

1050
00:56:12,200 --> 00:56:13,080
Speaker 3: we're so close.

1051
00:56:13,840 --> 00:56:16,520
Speaker 2: Huh.

1052
00:56:16,600 --> 00:56:17,600
Speaker 4: I'm speechless.

1053
00:56:17,960 --> 00:56:18,360
Speaker 2: Yeah.

1054
00:56:18,480 --> 00:56:20,719
Speaker 3: I mean, look, there's really not much else to say,

1055
00:56:20,719 --> 00:56:24,760
Speaker 3: but I wish you luck, Carly, not justice, but luck. Yes,

1056
00:56:25,320 --> 00:56:27,919
Speaker 3: And I feel like some startup company will find some weird,

1057
00:56:28,040 --> 00:56:29,920
Speaker 3: niche way to put her in an ad campaign. I

1058
00:56:29,920 --> 00:56:32,200
Speaker 3: think that's gonna be the heights, the highest heights. She's

1059
00:56:32,239 --> 00:56:35,760
Speaker 3: gonna hit with this, right, like a tissue company.

1060
00:56:36,120 --> 00:56:39,920
Speaker 1: I feel like we've already forgotten about, like you just

1061
00:56:39,920 --> 00:56:41,880
Speaker 1: did this story. I just watched the clip for the

1062
00:56:41,920 --> 00:56:44,080
Speaker 1: fourth time today. I couldn't pick her out of a crowd,

1063
00:56:44,120 --> 00:56:46,600
Speaker 1: to be honest with you, But yeah, maybe they will,

1064
00:56:46,800 --> 00:56:50,720
Speaker 1: I hope not Reeve said that her ever affable uncle

1065
00:56:50,960 --> 00:56:52,600
Speaker 1: was aware of her plans to appear on the show

1066
00:56:52,600 --> 00:56:55,759
Speaker 1: ahead of time and even approved of it, explaining that

1067
00:56:55,800 --> 00:56:59,600
Speaker 1: he was just like, best of luck. That's awesome. I

1068
00:56:59,600 --> 00:57:03,359
Speaker 1: don't know, that's like a full throated endorsement of the plan. No,

1069
00:57:04,320 --> 00:57:06,040
Speaker 1: luck is usually a pretty.

1070
00:57:06,080 --> 00:57:10,320
Speaker 3: That's a nicer saying fuck you. Yeah, best of luck

1071
00:57:10,480 --> 00:57:13,399
Speaker 3: is the most polite way of saying fuck you, oh

1072
00:57:13,400 --> 00:57:16,920
Speaker 3: for real, well, best of luck? Yeah, fuck you, go ahead.

1073
00:57:17,480 --> 00:57:20,040
Speaker 3: And I think that's what's interesting, Like you know that

1074
00:57:20,600 --> 00:57:24,120
Speaker 3: he probably didn't necessarily need to approve, like legally. She

1075
00:57:24,240 --> 00:57:26,160
Speaker 3: was probably just being like, I don't want to embarrass you,

1076
00:57:26,200 --> 00:57:28,560
Speaker 3: but I have to do this because of my un ending,

1077
00:57:28,840 --> 00:57:33,240
Speaker 3: you know, desire for attention or celebrity status. And he's

1078
00:57:33,280 --> 00:57:35,160
Speaker 3: just like, I don't go ahead, man, if you just

1079
00:57:35,200 --> 00:57:36,800
Speaker 3: want if you want people to fucking see who you

1080
00:57:36,840 --> 00:57:39,360
Speaker 3: really are, yeah, good, best of luck, and how you

1081
00:57:39,400 --> 00:57:41,040
Speaker 3: think you probably even like, yeah, all right.

1082
00:57:43,400 --> 00:57:48,040
Speaker 1: Some influencer, marketer agent, and she's gonna reach out to

1083
00:57:48,040 --> 00:57:50,200
Speaker 1: her uncle and be like, hey, my people actually wanted

1084
00:57:50,200 --> 00:57:52,000
Speaker 1: to reach out see if there's like something we could

1085
00:57:52,040 --> 00:57:53,560
Speaker 1: do together uncle Tom.

1086
00:57:53,720 --> 00:57:54,520
Speaker 2: I feel like he's.

1087
00:57:56,040 --> 00:58:02,960
Speaker 1: Lucky as always, such a pleasure having you on the show.

1088
00:58:03,680 --> 00:58:06,680
Speaker 1: Where can people find you? Follow you all that good stuff.

1089
00:58:07,120 --> 00:58:10,120
Speaker 4: It is my pleasure to be here. Thank you so

1090
00:58:10,200 --> 00:58:13,680
Speaker 4: much for having me. You can follow me on the

1091
00:58:13,760 --> 00:58:21,920
Speaker 4: various hell websites, slash social media platforms such as Twitter, Instagram,

1092
00:58:21,960 --> 00:58:26,680
Speaker 4: and even TikTok waiting TikTok. Yeah, I did try to.

1093
00:58:26,800 --> 00:58:29,120
Speaker 4: I was trying to have a presence there for a while,

1094
00:58:29,440 --> 00:58:31,760
Speaker 4: and by that I mean about five days and then

1095
00:58:31,760 --> 00:58:35,960
Speaker 4: I gave up. But I'll go back to it sometime anyway,

1096
00:58:36,280 --> 00:58:41,919
Speaker 4: across all platforms. You can follow me at Caitlindurante and yeah,

1097
00:58:42,000 --> 00:58:43,880
Speaker 4: that's uh, that's that.

1098
00:58:45,000 --> 00:58:47,280
Speaker 1: Is there a work of media? Sorry meeting, I'm plu.

1099
00:58:47,400 --> 00:58:51,960
Speaker 1: What are It's gonna go to waste? So I got

1100
00:58:52,000 --> 00:58:54,040
Speaker 1: I gotta eat it on the store.

1101
00:58:54,280 --> 00:58:56,160
Speaker 3: Always eat at the end of the show.

1102
00:58:56,520 --> 00:58:59,800
Speaker 1: I know, man, because I'm burning.

1103
00:59:00,680 --> 00:59:03,560
Speaker 2: Yeah, coloric intake, gotta up it.

1104
00:59:03,240 --> 00:59:05,760
Speaker 1: Is there a work of media that you've been enjoying.

1105
00:59:06,520 --> 00:59:09,520
Speaker 4: Oh, this is a movie that came out a few

1106
00:59:09,720 --> 00:59:13,360
Speaker 4: months ago, but if you have a chance to see it,

1107
00:59:13,400 --> 00:59:16,880
Speaker 4: I imagine it'll be on a streaming platform soon. But the

1108
00:59:17,000 --> 00:59:21,000
Speaker 4: movie How to Blow Up a Pipeline? Yeah, I really

1109
00:59:21,160 --> 00:59:23,959
Speaker 4: enjoyed and I think people should check it out.

1110
00:59:24,840 --> 00:59:26,320
Speaker 2: Yeah, it's awesome.

1111
00:59:26,640 --> 00:59:29,880
Speaker 1: Is it so in theaters? I don't think theaters near you.

1112
00:59:30,040 --> 00:59:32,400
Speaker 1: Check it out. If it's streaming, check it out. It's

1113
00:59:32,400 --> 00:59:35,320
Speaker 1: really good. Miles Where can people find you? Is there

1114
00:59:35,320 --> 00:59:36,520
Speaker 1: a work of media you've.

1115
00:59:36,320 --> 00:59:40,480
Speaker 3: Been Yeah, yeah, there is actually at miles of gray

1116
00:59:40,600 --> 00:59:44,000
Speaker 3: on those websites with the at little symbols. Also, if

1117
00:59:44,000 --> 00:59:46,040
Speaker 3: you like basketball, check Jack and I out on Miles

1118
00:59:46,080 --> 00:59:48,240
Speaker 3: and Jack got Mad Boosties. And also if you like

1119
00:59:48,320 --> 00:59:50,840
Speaker 3: trash reality shows, ones that are actually a little bit

1120
00:59:50,840 --> 00:59:53,560
Speaker 3: better than Claim to fame, like ninety Day Fiance, come

1121
00:59:53,640 --> 00:59:56,520
Speaker 3: check out four twenty Fiance with Sophia Alexandra and I.

1122
00:59:57,200 --> 01:00:01,520
Speaker 3: Let's see works and media. It's really once we started

1123
01:00:01,520 --> 01:00:04,440
Speaker 3: talking about the grimace shake in those TikTok videos, so

1124
01:00:04,560 --> 01:00:07,680
Speaker 3: many of y'all have been tagging Jack and I more

1125
01:00:07,840 --> 01:00:11,400
Speaker 3: TikTok videos and people having the grimmace shake, and I'm

1126
01:00:11,440 --> 01:00:14,240
Speaker 3: just just all of that, the whole wave. Like now

1127
01:00:14,280 --> 01:00:16,880
Speaker 3: there's write ups now about being like the new TikTok

1128
01:00:16,960 --> 01:00:20,320
Speaker 3: trend is this grimace shake thing. Just I love seeing that,

1129
01:00:20,400 --> 01:00:23,600
Speaker 3: Like us as older people were like, there's something weird

1130
01:00:23,640 --> 01:00:26,120
Speaker 3: about this, and that's good to see that. Gen Z

1131
01:00:26,280 --> 01:00:28,520
Speaker 3: and the younger people were like, this is where we're

1132
01:00:28,520 --> 01:00:30,600
Speaker 3: taking it. Because one of the latest ones, I was

1133
01:00:30,640 --> 01:00:33,000
Speaker 3: just like it looked like paranormal activity.

1134
01:00:33,080 --> 01:00:36,600
Speaker 1: Yeah with that one, So.

1135
01:00:36,640 --> 01:00:39,120
Speaker 3: All the all the grimmest shake content, that's what I'm

1136
01:00:39,200 --> 01:00:40,040
Speaker 3: That's what I'm laughing.

1137
01:00:39,880 --> 01:00:40,360
Speaker 2: At right now.

1138
01:00:40,520 --> 01:00:42,160
Speaker 4: And send me your ham shake.

1139
01:00:43,080 --> 01:00:47,800
Speaker 1: Yeah, that's that's right, that's what's next. You can find

1140
01:00:47,840 --> 01:00:52,000
Speaker 1: me on Twitter at Jack Underscore O'Brien a tweet I've

1141
01:00:52,040 --> 01:00:53,720
Speaker 1: been in it. First of all, have you ever seen

1142
01:00:53,760 --> 01:00:57,520
Speaker 1: his movie Nashville? You ever heard about that? I had not. No,

1143
01:00:57,640 --> 01:00:59,880
Speaker 1: I had heard of it, but I hadn't actually watched it.

1144
01:01:00,040 --> 01:01:03,520
Speaker 1: And it's very good. Robert Altman's Nashville. So check that out.

1145
01:01:03,720 --> 01:01:08,200
Speaker 1: Norm Charlatan tweeted sixteen dollars worth of insight here and

1146
01:01:08,320 --> 01:01:13,640
Speaker 1: just a screencap of a Twitter interaction between two blue

1147
01:01:13,680 --> 01:01:16,080
Speaker 1: check marks and then a non blue check mark. Dale

1148
01:01:16,120 --> 01:01:19,680
Speaker 1: Partrid said prediction, if they ever remake The Sandlot, there

1149
01:01:19,720 --> 01:01:21,720
Speaker 1: will be a girl on the team. She will play

1150
01:01:21,760 --> 01:01:24,880
Speaker 1: the hero figure and she will hit the home run

1151
01:01:24,920 --> 01:01:27,480
Speaker 1: to win the game. And then another blue check mark

1152
01:01:27,520 --> 01:01:30,280
Speaker 1: comes in. Vicar of Christ comes in and says, not

1153
01:01:30,320 --> 01:01:32,920
Speaker 1: only that, but all the guys will be total losers

1154
01:01:33,200 --> 01:01:35,600
Speaker 1: and she will have to single handedly win the game

1155
01:01:35,680 --> 01:01:38,840
Speaker 1: for them all. And then Ben k came in and

1156
01:01:38,920 --> 01:01:42,600
Speaker 1: was like, unclear if you're accidentally or ironically describing the

1157
01:01:42,640 --> 01:01:45,560
Speaker 1: plot of Bad News Bears, a movie that's nearly fifty

1158
01:01:45,640 --> 01:01:51,120
Speaker 1: years old. Oh woke, shit is out of control?

1159
01:01:51,240 --> 01:01:55,720
Speaker 3: Oh manial, Yeah, it was hit you.

1160
01:01:56,160 --> 01:01:59,080
Speaker 1: You can find us on Twitter at daily Zeitgeist. We're

1161
01:01:59,080 --> 01:02:01,840
Speaker 1: at the Daily Zeus on Instagram. We have a Facebook

1162
01:02:01,920 --> 01:02:04,640
Speaker 1: fanpage and website Daily zeikeis dot com, where we post

1163
01:02:04,640 --> 01:02:07,960
Speaker 1: our episodes and our footnotes when we link off to

1164
01:02:08,040 --> 01:02:11,200
Speaker 1: the information that we talked about in today's episode, as

1165
01:02:11,200 --> 01:02:14,080
Speaker 1: well as a song that we think you might enjoy. Hey, Miles,

1166
01:02:14,200 --> 01:02:16,640
Speaker 1: what's the song? So you think people might enjoy it?

1167
01:02:16,760 --> 01:02:20,880
Speaker 3: Oh, I've been playing this on and off behind the scenes,

1168
01:02:21,240 --> 01:02:23,600
Speaker 3: and I've been I just love Nia Archives. We did

1169
01:02:23,640 --> 01:02:26,080
Speaker 3: a Georgia Smith remix of a NEA Archives track I

1170
01:02:26,080 --> 01:02:28,240
Speaker 3: think at the end of the last week, and there's

1171
01:02:28,280 --> 01:02:31,080
Speaker 3: a dropped a new track on us called Off with

1172
01:02:31,680 --> 01:02:34,960
Speaker 3: Your Heads w I V Y A h E A

1173
01:02:35,160 --> 01:02:37,680
Speaker 3: d Z. And it's basically a remix of the Yeah

1174
01:02:37,760 --> 01:02:41,360
Speaker 3: Yeah Yeas track heads will roll where you hear Karen's saying, Oh,

1175
01:02:42,240 --> 01:02:46,000
Speaker 3: but it's just a straight up jungle remix and it's

1176
01:02:46,120 --> 01:02:49,080
Speaker 3: it goes hard. Yeah, it's like a hard ray version,

1177
01:02:49,120 --> 01:02:51,680
Speaker 3: but it's just I don't know, great energy. So check

1178
01:02:51,720 --> 01:02:54,480
Speaker 3: it out. Off with your Heads Neia Archives, check it

1179
01:02:54,520 --> 01:02:55,720
Speaker 3: out all right.

1180
01:02:55,760 --> 01:02:57,440
Speaker 1: We will link off to that in the footnotes. The

1181
01:02:57,520 --> 01:02:59,720
Speaker 1: Daily Zeikes is a production by Heart Radio. For more

1182
01:02:59,720 --> 01:03:02,200
Speaker 1: podc cast from My heart Radio, visit the iHeartRadio app,

1183
01:03:02,240 --> 01:03:06,280
Speaker 1: Apple Podcasts, or wherever find podcasts are given away for free.

1184
01:03:06,400 --> 01:03:08,480
Speaker 1: That is going to do it for us this morning,

1185
01:03:08,560 --> 01:03:11,480
Speaker 1: back this afternoon to tell you what is trending and

1186
01:03:11,720 --> 01:03:12,520
Speaker 1: we'll talk to you all then

1187
01:03:12,680 --> 01:03:16,200
Speaker 2: Bye bye bye bye