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Speaker 1: I just remember at the time, I wasn't fucking with

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Speaker 1: Elton John. I'm like, damn, this fool just wrote a

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Speaker 1: new song for Princess Diana.

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Speaker 2: Wow.

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Speaker 1: Wow, Wow, this is like in the era, Like immediately

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Speaker 1: they'd be like by the commemorative Elton John, I miss you,

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Speaker 1: Diana box set? Where get it?

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Speaker 3: Collective plate?

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Speaker 1: Yeah, no, for real that you could also play. There's

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Speaker 1: a record.

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Speaker 2: If you'll turn your attention to this glass case right here,

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Speaker 2: you'll see that I have all of the Diana commemorative editions.

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Speaker 4: We don't have enough commemorative plates nowadays. I want one

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Speaker 4: with like ice spice.

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Speaker 3: You know what I mean.

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Speaker 1: I remember that you remember that? Yeah, that should be Yeah,

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Speaker 1: she showing a painty. That would be like a new

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Speaker 1: kind of merch people should bring back, you know what

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Speaker 1: I mean. Where it's like I don't do T shirts anymore.

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Speaker 1: I do commemorative plates.

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Speaker 3: From the Yeah, I want something difficult to carer in

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Speaker 3: the parking lot.

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Speaker 2: Yeah exactly, this ice spice commemorative coin, say special State

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Speaker 2: coin of Spice.

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Speaker 1: Holy shit, me into the currency as a black woman.

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Speaker 1: Oh my god, watch Kamala is like, I swear to God,

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Speaker 1: we are going to put Ice Spice on the quarter.

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Speaker 4: Honestly, at this point, I'll take I'll give her my

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Speaker 4: vote for anything. I'm like, listen, if that's the best

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Speaker 4: you can do, at least it's something.

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Speaker 1: You think you a ship, bitch, You not even the

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Speaker 1: fart grah Ice Spice, you.

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Speaker 3: Think you a dime? You not even a nickel.

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Speaker 1: Exactly, I'm a twenty anyway.

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Speaker 2: Hello the Internet, and welcome to Season three, fifty four,

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Speaker 2: Episode two.

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Speaker 1: Guys, I couldn't ease And.

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Speaker 2: It's a production of iHeart Radio. I'm not going to

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Speaker 2: give them a clean take.

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Speaker 1: That's that is what it is. 'tis what it's.

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Speaker 2: This is a podcast where we take a deep dive

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Speaker 2: into america shared consciousness. And it is Wednesday, September fourth,

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Speaker 2: twenty twenty four.

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Speaker 1: Yeah, yeah, tell us what me nine four four is

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Speaker 1: National Macadamia that day, shout out Maladamia. That's one of

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Speaker 1: the more expensive ones. But they're not my favorite really,

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Speaker 1: something something about the consistency they feel like love because

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Speaker 1: they're great.

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Speaker 3: Love them.

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Speaker 1: That's where they break ampart. Oh nice, not a fan.

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Speaker 1: But you like Cashews. I like Cashoes.

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Speaker 2: I like the static that no shoes Cashoe.

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Speaker 1: Also National spice classes, spice blend day. We were just

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Speaker 1: talking about ice spice, National newspaper carrier Dation, I don't

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Speaker 1: know the people that deliver the paper, and National Wildlife Papa, Yeah,

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Speaker 1: shout out the newsies Man.

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Speaker 2: Newspaper delivery boys in the eighties so bad. They're always

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Speaker 2: throwing that shit all over the place, throwing them, throwing

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Speaker 2: them through windows. According to John Hughes Movies, oh yeah,

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Speaker 2: and the video game paper Boy. Yeah, that was a

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Speaker 2: bit that like just America's filmgoers in the eighties could

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Speaker 2: not get enough of delivery boy on bike throwing paper

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Speaker 2: in a while year.

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Speaker 3: Old having a ninety mile per hour pitch.

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Speaker 4: Yeah.

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Speaker 1: Yeah, it goes clean through a kitchen window. Yeah, you're like,

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Speaker 1: what the fuck? Who's funny? Because it's true. You're like,

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Speaker 1: the movie should actually be about this strong armed child

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Speaker 1: just through a fucking whole newspaper through my window. He

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Speaker 1: actually like kills somebody next door.

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Speaker 4: He just like like now it's like somebody just smacking

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Speaker 4: you in the head with a newspaper.

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Speaker 2: Yeah, that's right, That's how I'm woking up every morning.

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Speaker 1: All right.

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Speaker 2: My name is Jack O'Brien aka cut this Well in

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Speaker 2: two pieces, and stick it on my card. Damn it

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Speaker 2: ret my kids, dang head in plastic, don't give a fuck.

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Speaker 2: I upset some traffic man. That is courtesy of E

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Speaker 2: Seeger Full twelve twenty nine on the discord. Shout out

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Speaker 2: to you, I feel are we am I mispronouncing your name?

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Speaker 1: S sc geirful? I don't know. Maybe look just wait

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Speaker 1: for the update, just wait for the pronunciation guy to

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Speaker 1: show up on the discord, and I'm like.

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Speaker 2: Shout out arrow three year row this lesson zero miles zeros.

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Speaker 1: Ever been in a forum before?

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Speaker 2: No, no, no, anyways, I'm thrilled to be joined as always.

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Speaker 1: Buy my co host, mister Miles Gray, Miles Gray, a

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Speaker 1: k got a well on the hood, got its juice,

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Speaker 1: solem min smells like a dumpster. My dad makes me cry.

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Speaker 1: We're getting the thing from all the cars around.

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Speaker 2: And then there's the roadkill, so much fucking road.

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Speaker 1: Cad got cause well jo freeks leaks in the windle

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Speaker 1: suff again, Marcus in here plastic baghad. Okay, that was

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Speaker 1: actually a two hander, So shout out one dollar William

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Speaker 1: for the verse. And then my homie, my closest homie,

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Speaker 1: we go way back on Hacker forums lest this zero

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Speaker 1: came through with the chorus and together you got that

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Speaker 1: wonderful AKA. Thank you to all on Discord who participate

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Speaker 1: and give us such creative jemps. Zero beautiful.

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Speaker 2: They need to put that over the trailer for like

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Speaker 2: some for the Apprentice. Wait, Donald Trump, Oh Jesus right, Paula,

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Speaker 2: are you saying?

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Speaker 1: That? Actually reminded me? I was at a like we

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Speaker 1: did like karaoke with my family, like a bunch in Japan,

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Speaker 1: so you know, you do karaoke in Japan, and my

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Speaker 1: friend she's sang creep and made like our aunt cry

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Speaker 1: because it was so beautiful. But I was like it

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Speaker 1: was one of these weird things where she just kind

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Speaker 1: of pulled it out of nowhere and like really embodied it.

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Speaker 1: And my aunt, who's like not really fluent English speaker,

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Speaker 1: was like it was just beautiful, and I was like, okay,

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Speaker 1: what she even saying? That's I mean, the song has

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Speaker 1: there's an emotion to that song that I think is.

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Speaker 4: Under any That's why I got famous in the first place.

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Speaker 2: My least favorite thing about Radiohead is that they don't

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Speaker 2: like that song. They're very dismissive of it. They'll never

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Speaker 2: play it live, like, come on, man, you should have

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Speaker 2: better taste than that, your radio head Miles. We are

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Speaker 2: thrilled to be joined in air third seat by a

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Speaker 2: hilarious stand up comedium writer, acurate improviser. You can catch

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Speaker 2: her on stage the monthly Facial Recognition comedy show, which

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Speaker 2: she also produces.

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Speaker 1: It's probably all right.

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Speaker 3: I prefer the Steve Winwood for.

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Speaker 2: That isn't shot directly at me. I didn't even know

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Speaker 2: if you guys were referencing the dance track, was like,

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Speaker 2: is that Michael McDonald Winwoods? Some classic Winwood.

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Speaker 1: Are well done? Those backstories. He a good guy, Steve Winwood.

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Speaker 3: I don't know.

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Speaker 4: I looked him up and related names included Eric Clapton,

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Speaker 4: and I just stopped looking because.

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Speaker 1: Well, he is one of those other guys where like

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Speaker 1: you hear it and you're like, oh ship, Like I

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Speaker 1: forgot this guy was white because sometimes he had those

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Speaker 1: soul songs. You're like, oh, hold on, Steve Winwood.

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Speaker 2: Hold on, what a name for an artist, you know,

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Speaker 2: for a musician? Wind would yeah, just take the woodwind

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Speaker 2: and flip.

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Speaker 1: A neighborhood in Miami. Yeah, it's all there, It is

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Speaker 1: all there. How you do it's good to say.

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Speaker 4: I didn't realize the whales when I heard jack spell song,

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Speaker 4: I was like, that's interesting, and then I realized it

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Speaker 4: was about r Junior. I was talking about his dad.

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Speaker 4: What is it with like weirdo Republicans? Like remember Mitt

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Speaker 4: Romney's dog and then the other lady with her dog?

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Speaker 3: Like what you know?

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Speaker 4: How Like they're like, oh, one, are the signs of

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Speaker 4: sociopaths or whatever?

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Speaker 3: Is that they kill animals?

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Speaker 1: Oh?

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Speaker 2: Yeah, Like I think you've answered your own question.

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Speaker 3: I think that's.

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Speaker 4: That's like a test to become Republican. It's like, what

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Speaker 4: would you do if you found a bear?

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Speaker 3: Cub?

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Speaker 1: Do this puppy? They hand you a handgun? Yeah, something

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Speaker 1: splash this motherfucker? What reach them?

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Speaker 4: Oh? Paint or what was it? Paint them or paint

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Speaker 4: the walls or whatever. Trump recently was asked in some interview.

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Speaker 4: I can't remember what it was what he liked about

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Speaker 4: his sons, and what he said about Donald Trump Junior

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Speaker 4: was that he was a good hunter. Like that's such

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Speaker 4: a fucking weird thing to say about your kid. He

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Speaker 4: kills good Yeah, he loves the blood and goods.

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Speaker 1: Well, that's like shows how involved a father you are

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Speaker 1: when you sort of you just reference gifts that your

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Speaker 1: assistant bought for them to be like, that's what I

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Speaker 1: love about them. He loves hunting. He's a good hunter.

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Speaker 1: My other boy, he loves Catan, settlers of Catan. That's

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Speaker 1: what he's No, it's not even gifts.

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Speaker 4: It's like things he found mounted on his like around

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Speaker 4: the room and this waller so saying.

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Speaker 2: Person looking around at pictures on his desk that he

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Speaker 2: has to keep.

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Speaker 3: There for a very good at lion. He loves lyon lion.

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Speaker 2: He's great smiling, could smile and saying cheese.

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Speaker 1: He's very good at love.

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Speaker 3: He's very good at cocaine. Oh, I'm not supposed to

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Speaker 3: say that one.

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Speaker 1: He's very good at being an owl or street lamp

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Speaker 1: with this cocaine. I just learned that from a friend

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Speaker 1: of Van Damn owl man. They're on the front porch.

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Speaker 1: That was really good and this looked good. No, no, no, no,

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Speaker 1: not at all. Okay, it's like nothing else. Huh.

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Speaker 2: All right, Paulay, we're going to get to know you

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Speaker 2: a little bit better in a moment. First, we're going

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Speaker 2: to tell the listeners a couple of the things we're

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Speaker 2: talking about today, Kroger admitted they admitted that they raised

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Speaker 2: prices without you know, the costs, demanding it in a

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Speaker 2: leaked email that they're having answer for weirdly not really

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Speaker 2: getting picked up by The Washington Post, which mocked Kamala

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Speaker 2: Harris for suggesting corporate greed played a significant role in inflation.

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Speaker 2: So we're just gonna look at that. Check in with

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Speaker 2: that story. Check in with the latest Polby. When you

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Speaker 2: were filling in for Miles, we talked about schools banning phones.

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Speaker 2: Some schools in England are just like straight up buying

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Speaker 2: their students dumb phones and being like here, just just

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Speaker 2: do that and then stop stop asking us for your

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Speaker 2: phones back. This is getting more and more widely adopted

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Speaker 2: in the US, specifically a ban on smartphones.

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Speaker 1: So I just want to look at.

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Speaker 2: That story, because The Daily did an episode about that

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Speaker 2: that I.

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Speaker 1: Don't know, I thought.

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Speaker 2: I thought it was a little it was kind of

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Speaker 2: weird where they landed it. They kind of landed it

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Speaker 2: as like, I don't know, both sides really have some

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Speaker 2: interesting points here, So I want to talk about that.

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Speaker 1: I want to talk about that.

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Speaker 2: We now have proof that said smartphones are listening to us.

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Speaker 2: And using AI to capture what they call real time

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Speaker 2: intent data, which basically means that they're able to brainwash

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Speaker 2: you in real time on your talk about Yeah, we'll

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Speaker 2: talk about the Reagan movie also, which was a huge

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Speaker 2: hit regularly very old white people and based on artificially

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Speaker 2: lowered standard.

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Speaker 3: Is this the Nancy Reagan porno? Is that what this?

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Speaker 1: Yeah?

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Speaker 2: That one hasn't hit theaters yet, but yeah, it's pretty good.

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Speaker 3: It's getting rare, getting imaginations everywhere.

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Speaker 2: Absolutely, it's getting raves in the comment section of porn.

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Speaker 1: Getting raves on chat GPT as people try and recreate it.

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Speaker 2: Yeah, all of that, plenty more. But first, polay, we

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Speaker 2: do like to ask our guest, what is something from

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Speaker 2: your search history that's revealing about.

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Speaker 1: Who you are? Oh?

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Speaker 3: Wait, I had this? Uh what was it?

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Speaker 1: Too late? Moving on?

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Speaker 5: No, please come back please, No, No, I did search

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Speaker 5: the word corvids. No, I I've been looking up a

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Speaker 5: lot of references. Okay, I'm rewatching or for the first time,

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Speaker 5: I'm watching the Real Housewives. Like I watched all of

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Speaker 5: Salt Lake City, and then i watched all of Beverly

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Speaker 5: Hills and now I'm in the middle of Atlanta. So

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Speaker 5: I've been watching, like I've been looking up different references

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Speaker 5: and I and one of the characters was throwing this

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Speaker 5: icons black female icons of Hollywood party, and she was

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Speaker 5: like assigning everyone address in certain ways, and she assigned

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Speaker 5: like one person like Diana Ross and one person Tina Turner,

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Speaker 5: and then she made her enemy be Halle Berry from BAPS,

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Speaker 5: And so I just needed a refresher, like yeah, because

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Speaker 5: I remembered like some of the outfit, but then I

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Speaker 5: looked it up and then that person refused and then

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Speaker 5: she kicked her out of the party. So I've just

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Speaker 5: been looking up like all of these references from like

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Speaker 5: season five of The Real Housewives of Atlanta?

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Speaker 1: Are you doing like a rewatch? Like you're just.

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Speaker 4: I've ever seen them before, but I am like, I

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Speaker 4: am watching that it is like historical for me because

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Speaker 4: I'm like, oh my god, like this was what people

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Speaker 4: were saying on TV like twelve years ago and was

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Speaker 4: okay for people to say that's insane.

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Speaker 3: That is like like this, I don't know.

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Speaker 4: There was the only white woman who was cast on

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Speaker 4: the first few seasons was like, yeah, I'm a singer

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Speaker 4: and she's like the worst singer of all of them,

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Speaker 4: and then she kept saying she was black on the

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Speaker 4: inside and all of this shit that like this is

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Speaker 4: from like two.

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Speaker 1: Yeah, yeah, yeah we are.

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Speaker 4: Yeah yeah it's something. But yeah, I had never seen

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Speaker 4: any of it. So I'm like, oh my god, this

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Speaker 4: is fascinating. And like they're all these like cameos from

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Speaker 4: people and like guest, like I saw Tommy from Martin

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Speaker 4: was on an episode for like no reason. I don't

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Speaker 4: know why he was on there. They were planning this

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Speaker 4: event and he just was at a meeting about it.

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Speaker 4: I'm like, what is Tommy doing in this show? Everybody

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Speaker 4: wants to be in the show.

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Speaker 1: It's serious, real movie. I know passed away r I

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Speaker 1: p to.

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Speaker 3: I know it was sad.

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Speaker 1: All right, what is something you think is underrated? Okay?

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Speaker 4: Posting entire movies to social media? I fucking love it.

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Speaker 4: I love that there's like you can watch like all

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Speaker 4: like full mean girls on TikTok or like everybody keep posts,

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Speaker 4: keeps posting like the B Movie to Twitter.

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Speaker 3: I love it.

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Speaker 4: I love that you can just stumble on like entire

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Speaker 4: movies in TikTok format.

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Speaker 2: Yeah, I've always said you should just watch these movies

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Speaker 2: out of order.

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Speaker 4: You know, or like with a TikTok branding in between,

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Speaker 4: as though it's like a commercial. At the end of

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Speaker 4: every clip, Victor is saying that's how he saw Detective Pikachu.

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Speaker 1: I love it. I like just being like you're scrolling TikTok,

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Speaker 1: You're like, hold on, no, I was only here for

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Speaker 1: maybe bite sized content, but you know what I'm I'm

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Speaker 1: gonna throw this thing in landscape, but once for the

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Speaker 1: long here.

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Speaker 3: Yeah.

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Speaker 4: I think it's beautiful because like everybody's like, oh, our

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Speaker 4: attention spans are so short, and it's like, okay, I

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Speaker 4: can watch thirty second clips for eight hours.

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Speaker 3: Yeah it counts. I don't know if that's a short attention.

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Speaker 1: Span, but it's so right. How come I watch this

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Speaker 1: forty second video eight times in a row? Oh?

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Speaker 4: How come it was all just my Instagram story?

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Speaker 1: It fuck up?

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Speaker 2: Like so, I mean, I guess there's like little spaces

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Speaker 2: like built in, like is it does it just like

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Speaker 2: come mid sentence. It's just like every thirty seconds.

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Speaker 4: It depends on like what you you're watching on right,

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Speaker 4: Like on TikTok, it's got like the TikTok branding at

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Speaker 4: the end of every clip, But on Twitter you could

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Speaker 4: post a whole movie, like just yeah, yeah, So it

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Speaker 4: just depends.

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Speaker 1: Like I remember when June two was up for fucking

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Speaker 1: like a week.

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Speaker 4: Yeah, it's just really funny because like social media is

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Speaker 4: just shit show and they don't have any control over

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Speaker 4: like what is happening, or they're like removing regulations from it.

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Speaker 4: So I just think it's really funny when you can

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Speaker 4: just post an entire fucking movie. Right.

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Speaker 3: People are like, this is how I consume media.

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Speaker 1: It takes Elon seventy years to do anything about it.

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Speaker 1: You're like, yeah, man, the whole it's all up there everything.

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Speaker 3: He's like, I.

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Speaker 4: Watched all of that Apprentice Apprentice documentary on what he

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Speaker 4: calls Twitter.

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Speaker 1: What's something you think is overrated?

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Speaker 4: Okay, going on walks depending on where you are. I

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Speaker 4: love a walk, I love walking. I love walking my dogs.

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Speaker 4: But I live in a neighborhood. I'm not gonna but

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Speaker 4: you might get it from the.

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Speaker 3: Colill Ca Sublanca.

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Speaker 4: No, it's from It's in a neighborhood where there's like

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Speaker 4: just like a lot of trash on the ground, and

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Speaker 4: there's a lot of glass on the ground, and literally

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Speaker 4: there's a parting spot near my apartment where I've seen

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Speaker 4: so many cars burned to a crisp like fully burned cars,

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Speaker 4: and like I'm just like to my boyfriend, I'm like,

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Speaker 4: you can't park there.

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Speaker 3: You cannot park.

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Speaker 1: Don't like.

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Speaker 3: But it will combos.

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Speaker 1: We don't know. I don't know.

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Speaker 4: So it's just like it really depends. Like I have

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Speaker 4: to go to the next neighborhood over to like walk

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Speaker 4: my dogs in a nice neighborhood. So I think, like

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Speaker 4: we need to bring we need to make walks great again.

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Speaker 4: We need to bring them back.

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Speaker 3: Beyonce.

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Speaker 4: You know, it's like the Gremlins, what is it you

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Speaker 4: aren't they like.

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Speaker 1: Much less threatening, much less, but walks.

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Speaker 4: Suck now depending on where you are, And like if

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Speaker 4: it's hot and ship, I'm like, why is outside bad

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Speaker 4: where we were supposed to graze?

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Speaker 2: The advice to go touch grass is going to get

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Speaker 2: less and less feasible like out.

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Speaker 1: Yeah, they're like someone has l a out well and

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Speaker 1: also to like we just have just we always we

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Speaker 1: always lament our lack of good parks too, and how

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Speaker 1: like you know, very early on we're saying, like make

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Speaker 1: all the golf courses parks, give us our nice green

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Speaker 1: spaces because yeah, we're so much of the city is

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Speaker 1: just so fucking you know, it's just concrete.

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Speaker 4: I gets so mad when I see like really giant

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Speaker 4: hedges because I'm like.

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Speaker 3: Rich people, you're hiding all the grass in there.

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Speaker 1: Let me let me end rich people, let me touch

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Speaker 1: that grass. Doctor said, I got nobody on YouTube.

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Speaker 4: I'm literally there's like literally a website that I'm going

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Speaker 4: to use because like, my dogs don't have places to run,

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Speaker 4: so I literally am going to rent a yard. I'm like,

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Speaker 4: this is how bad it's gotten. We're like, I'm renting

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Speaker 4: a yard for my dogs to run.

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Speaker 3: In because they can't.

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Speaker 1: Dog website.

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Speaker 4: Yeah, it's a real thing. I forget what it's called,

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Speaker 4: but it's for pets, like in big and that's a

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Speaker 4: huge problem with my like my dog rescues. A lot

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Speaker 4: of people want to have big dogs, but they can't

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Speaker 4: because of the housing crisis, and they don't have yards

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Speaker 4: and stuff. So I'm so literally they're monetizing like green

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Speaker 4: space for animals and I'm gonna have to do it

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Speaker 4: because I don't. I can't take them to dog parks

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Speaker 4: because my big one's humpy, and.

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Speaker 1: Like I I need humpy. My big ones the big

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Speaker 1: one's humpy, a little.

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Speaker 4: One's dumpty, and uh so like I have to go

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Speaker 4: rent a yard. I have to rent a rich person's yard.

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Speaker 1: Wait? How what? How much does it cost?

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Speaker 3: It's not that much, I don't think. I think it

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Speaker 3: depends on where and for how long.

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Speaker 2: That's why are they just there in the window, like

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Speaker 2: making weird grunting noises?

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Speaker 4: Yeah, like how your dog runs one humpy huh?

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Speaker 1: Whoa, whoa? What the fuck? Why? It's okay, you don't

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Speaker 1: have to clean up after him. I'll handle that. No.

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Speaker 3: Actually, I'm like, wait, can I monetize this? Can I

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Speaker 3: tell you my dog ship?

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Speaker 1: Oh? I didn't even think about that. I mean, yeah,

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Speaker 1: I usually I'm afraid of asking because it's for us.

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Speaker 2: Yeah, but yeah, amazing, that's that's wild that that exists.

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Speaker 2: But they're need to report firsthand to a man on

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Speaker 2: the street for I know.

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Speaker 4: I know, I'm gonna be like, I'm here in this yard,

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Speaker 4: I found a dead body. I'm just gonna keep playing

401
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Speaker 4: ball with a dog.

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Speaker 3: Okay, I pay for my time.

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Speaker 2: Oh man, all right, let's uh, let's take a quick

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Speaker 2: break and we'll be right back.

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Speaker 1: And we're back here with us.

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Speaker 4: Is that humpy dumpty. This this is Sammy. He's a

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Speaker 4: little one.

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Speaker 6: Humpy humpy as a damn all right, all right, well

409
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Speaker 6: we did want to check in with the story about

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Speaker 6: what actually caused inflation.

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Speaker 2: We had speculated idly. Yeah that you know, as so

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00:22:43,280 --> 00:22:47,360
Speaker 2: as inflation is happening. You can listen to the earnings

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00:22:47,359 --> 00:22:51,760
Speaker 2: calls of corporations whose prices going way up and hear

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Speaker 2: them talk about how they're having record profit all during

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Speaker 2: pandemic and when inflation was this out of control weather

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Speaker 2: pattern that the global markets were dealing with. And if

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Speaker 2: you suggested such a thing that like they were doing

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Speaker 2: it on purpose because it was causing record profits, you

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Speaker 2: would be ridiculed.

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Speaker 1: It's like, but where'd the profits come from? You also

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00:23:14,960 --> 00:23:18,040
Speaker 1: say you had lower costs. It's not because it's because

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Speaker 1: it's because we're doing so good. I don't know.

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Speaker 3: About you, guys. I've never heard of a corporation being

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00:23:25,160 --> 00:23:28,760
Speaker 3: never okay for greed, never never, never never never never.

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Speaker 1: Excuse me, Well, it's just wild because only because Kroger

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Speaker 1: and Albertson's are trying to have a merger that like,

427
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Speaker 1: you know, the Feds are like, ah wait a tick

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Speaker 1: here that we got some testimony from one of the

429
00:23:42,760 --> 00:23:46,240
Speaker 1: Kroger executives and they bring up this fucking email. We're

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Speaker 1: in an email it is discussed that said quote on

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Speaker 1: milk and eggs, retail inflation has been significantly higher than

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Speaker 1: cost inflation, and then goes on to say, our objective

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Speaker 1: is to quote pass through our inflation to con m

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Speaker 1: h And they're like, oh, wait, that you mean you

435
00:24:05,720 --> 00:24:08,960
Speaker 1: mean you're you're charging them more that that's what it

436
00:24:09,000 --> 00:24:12,800
Speaker 1: sounds like, you're passing the inflation onto us. And like again,

437
00:24:13,160 --> 00:24:15,119
Speaker 1: like other people commenting on this, like this was like

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Speaker 1: no secret that was happening, especially when it comes to

439
00:24:17,600 --> 00:24:19,320
Speaker 1: like milk and eggs. A lot of people who were

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00:24:19,359 --> 00:24:22,040
Speaker 1: defending this are like they just cherry picked a couple

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Speaker 1: comments here and like make it seem like that's like

442
00:24:25,280 --> 00:24:28,639
Speaker 1: this is an email from a top executive at Kroger

443
00:24:29,119 --> 00:24:32,560
Speaker 1: who is talking to other executives about how they're even there.

444
00:24:32,680 --> 00:24:38,159
Speaker 1: They're saying right here, retail inflation has been significantly higher

445
00:24:38,200 --> 00:24:40,199
Speaker 1: than cost inflation.

446
00:24:40,280 --> 00:24:44,000
Speaker 2: So the retail price is going up higher than what

447
00:24:44,320 --> 00:24:45,480
Speaker 2: our costs are going up.

448
00:24:46,400 --> 00:24:47,400
Speaker 3: That this is like the.

449
00:24:49,720 --> 00:24:52,840
Speaker 4: Sorry, I like that, this is like the grocery store

450
00:24:52,920 --> 00:24:54,520
Speaker 4: version of the jinks where he's.

451
00:24:54,359 --> 00:24:56,640
Speaker 3: Like, I did it. Oh, I raised all the prices.

452
00:24:56,720 --> 00:24:57,440
Speaker 3: I do it again.

453
00:24:57,880 --> 00:25:00,520
Speaker 1: Yeah. Yeah.

454
00:25:00,520 --> 00:25:05,040
Speaker 2: But the response from economists, a lot of economists, not

455
00:25:05,040 --> 00:25:08,920
Speaker 2: all economists, but a lot of economists who coincidentally seem

456
00:25:09,000 --> 00:25:12,960
Speaker 2: to usually work for or be you know, speaking to

457
00:25:13,119 --> 00:25:16,200
Speaker 2: or being interviewed by mainstream media outlets that are owned

458
00:25:16,200 --> 00:25:19,280
Speaker 2: by corporations, it seems to be like, yeah, it's just

459
00:25:19,400 --> 00:25:22,760
Speaker 2: like one or two bad actors, and it's like there's

460
00:25:22,800 --> 00:25:26,399
Speaker 2: no correlation. But like, so again, just the bottom line

461
00:25:26,560 --> 00:25:30,680
Speaker 2: thing is like, how are when inflations at a record high,

462
00:25:30,760 --> 00:25:33,399
Speaker 2: their profits are at a record high. Like those are

463
00:25:33,440 --> 00:25:37,080
Speaker 2: the two things that like the I need an argument

464
00:25:37,160 --> 00:25:40,480
Speaker 2: that's going to dispel those things. But like you said, Miles, meanwhile,

465
00:25:40,600 --> 00:25:43,480
Speaker 2: Kroger's fighting the government for their right to merge with

466
00:25:43,600 --> 00:25:48,760
Speaker 2: Albertson like two massive grocery chains, which again like a

467
00:25:48,800 --> 00:25:51,000
Speaker 2: big problem with this, and the reason they're able to

468
00:25:51,040 --> 00:25:54,639
Speaker 2: do that is not enough competition. So they're able to

469
00:25:55,040 --> 00:25:57,919
Speaker 2: raise prices and not be worried that, you know, another

470
00:25:58,240 --> 00:26:00,600
Speaker 2: retailer is going to lower the prices, which is how

471
00:26:00,720 --> 00:26:03,840
Speaker 2: the whole system is supposed to work. But because these

472
00:26:03,920 --> 00:26:07,240
Speaker 2: massive corporations got so much power they can now just

473
00:26:07,320 --> 00:26:08,400
Speaker 2: kind of fix things.

474
00:26:08,720 --> 00:26:09,000
Speaker 1: Yep.

475
00:26:09,480 --> 00:26:13,080
Speaker 2: So a lot of places are picking it up, but

476
00:26:13,119 --> 00:26:17,160
Speaker 2: it's like not really mainstream. Like Business Insider picked up

477
00:26:17,320 --> 00:26:20,800
Speaker 2: the story of the burg This is weird Bloomberg, but

478
00:26:21,000 --> 00:26:26,320
Speaker 2: not the Washington Post, which absolutely mocked Kamala Harris for

479
00:26:26,359 --> 00:26:29,960
Speaker 2: suggesting corporate greed played a significant role in inflation, which is.

480
00:26:29,960 --> 00:26:32,639
Speaker 1: Not like you're getting that from some like far left

481
00:26:32,760 --> 00:26:35,760
Speaker 1: extremist person just being like, yeah, I'm pretty sure they're

482
00:26:35,760 --> 00:26:37,520
Speaker 1: going up because they're making a ton of money. They're

483
00:26:37,520 --> 00:26:40,840
Speaker 1: like no, yeah, no, And then I just look, I

484
00:26:40,880 --> 00:26:44,600
Speaker 1: just searched their website. Uh, there's nothing like where they're

485
00:26:44,640 --> 00:26:47,639
Speaker 1: headlining that this executive, Like they have a headline where

486
00:26:47,680 --> 00:26:53,120
Speaker 1: like that's referencing what this Kroger executive mentioned sharing this testimony.

487
00:26:53,160 --> 00:26:58,399
Speaker 2: But hey, this cherry pick, it's just an I.

488
00:26:58,400 --> 00:26:59,800
Speaker 3: Don't know what you guys are talking about.

489
00:26:59,800 --> 00:27:03,000
Speaker 4: But I'm going to continue hiding eggs under my mattress. Okay,

490
00:27:03,520 --> 00:27:05,520
Speaker 4: that's where the gold is.

491
00:27:06,040 --> 00:27:08,480
Speaker 1: Always look under the mattress.

492
00:27:08,880 --> 00:27:09,120
Speaker 4: Bad.

493
00:27:09,640 --> 00:27:13,600
Speaker 1: Yeah, it's pretty sulphuric, I would say, But like the

494
00:27:13,680 --> 00:27:16,600
Speaker 1: wild part is too. I was like searching, like the

495
00:27:16,680 --> 00:27:20,680
Speaker 1: news search function on covering this. Is it only Jacobin,

496
00:27:21,800 --> 00:27:27,760
Speaker 1: not even dude, Barstool Sports, Barstool Sports. I want to

497
00:27:27,840 --> 00:27:34,160
Speaker 1: just read something from barstool from Barstool Sports about this. Okay,

498
00:27:34,320 --> 00:27:37,960
Speaker 1: they're talking about the the this guy Graf who Andy Groff,

499
00:27:37,960 --> 00:27:40,640
Speaker 1: who's the Kroger price guy, said he spilled the beans

500
00:27:40,680 --> 00:27:43,919
Speaker 1: during an FTC hearing. His internal email, a masterpiece of

501
00:27:43,960 --> 00:27:49,040
Speaker 1: corporate honesty, revealed their strategy pass through our inflation to customers. Translation,

502
00:27:49,520 --> 00:27:53,679
Speaker 1: let's squeeze those four those poor fucking plubs for every

503
00:27:53,800 --> 00:27:58,359
Speaker 1: penny we can the American way. Kroger's defense, Oh that

504
00:27:58,520 --> 00:28:01,760
Speaker 1: email was cherry pick. They say they're decades long business

505
00:28:01,800 --> 00:28:08,960
Speaker 1: model is all about lowering prices. Okay, mother Teresa, barstool Sports.

506
00:28:09,000 --> 00:28:11,800
Speaker 1: This is in barstools, Dave or Noise.

507
00:28:11,760 --> 00:28:12,440
Speaker 4: It is the end.

508
00:28:12,640 --> 00:28:15,640
Speaker 3: They were like, and bitches get titties just to like.

509
00:28:15,800 --> 00:28:18,960
Speaker 2: Yeah exactly, That's why I should be allowed to sexually

510
00:28:19,040 --> 00:28:20,200
Speaker 2: harass my coworker.

511
00:28:20,359 --> 00:28:26,919
Speaker 1: Now check out the nasty ten nastiest strip clubs in Bogota, Columbia.

512
00:28:27,040 --> 00:28:30,400
Speaker 3: We like where the costume is too high?

513
00:28:30,560 --> 00:28:33,440
Speaker 1: Yeah right, they go on it says quote this revelation

514
00:28:33,720 --> 00:28:36,399
Speaker 1: isn't just about Kroger. It's a symptom of a larger

515
00:28:36,440 --> 00:28:39,640
Speaker 1: disease plaguing corporate America. Companies across the board have been

516
00:28:39,680 --> 00:28:43,120
Speaker 1: posting record profits while consumers struggle with sky high inflation.

517
00:28:43,720 --> 00:28:46,960
Speaker 1: Uh remember those quote supply chain issues we kept hearing about.

518
00:28:47,160 --> 00:28:49,520
Speaker 1: Sure they played a role, but let's be honest. Some

519
00:28:49,560 --> 00:28:52,520
Speaker 1: prices were elevated simply because businesses knew they could get

520
00:28:52,560 --> 00:28:55,720
Speaker 1: away with it. It's the American way, right, profit over people.

521
00:28:56,120 --> 00:28:59,040
Speaker 1: This is in Barstool's Sports Comrade.

522
00:28:59,320 --> 00:29:02,560
Speaker 4: You know how like climate change has made like like

523
00:29:02,840 --> 00:29:06,200
Speaker 4: Seattle is like having less rain than La, but like

524
00:29:06,360 --> 00:29:09,360
Speaker 4: La is having more and like everything shifting. That's what

525
00:29:09,400 --> 00:29:12,200
Speaker 4: it feels like with media. Like remember when teen Vogue

526
00:29:12,320 --> 00:29:15,280
Speaker 4: was like doing hard hitting pieces and we were like, wait,

527
00:29:15,960 --> 00:29:18,480
Speaker 4: we forgot to pay attention to teen Vogue. Like all

528
00:29:18,520 --> 00:29:20,479
Speaker 4: of the world has gone so upside down that all

529
00:29:20,520 --> 00:29:24,120
Speaker 4: of the so called like hard hitting journalists are doing

530
00:29:24,160 --> 00:29:27,680
Speaker 4: the dumbest shit. So now like Barstool Sports has to

531
00:29:27,720 --> 00:29:29,120
Speaker 4: step up to fill that need.

532
00:29:29,720 --> 00:29:33,280
Speaker 1: Yeah, I'm like the weather. I was a little curious

533
00:29:33,280 --> 00:29:36,000
Speaker 1: about this because it's like who is, like who's writing this?

534
00:29:36,080 --> 00:29:40,720
Speaker 1: And I found the author's Twitter feed, and it does

535
00:29:40,760 --> 00:29:42,920
Speaker 1: not strike me as someone who is out here with

536
00:29:43,000 --> 00:29:47,160
Speaker 1: their like critiques of capitalism, like there's another paragraphs and

537
00:29:47,200 --> 00:29:49,960
Speaker 1: even this is all I'm this is capitalism after all,

538
00:29:50,080 --> 00:29:52,680
Speaker 1: you and your work is worth what somebody's willing to pay.

539
00:29:53,080 --> 00:29:56,520
Speaker 1: And but then like their Twitter feed is like Kamala

540
00:29:56,760 --> 00:30:01,480
Speaker 1: misinformation RFK video quotes of been like, well, this is

541
00:30:01,480 --> 00:30:04,000
Speaker 1: a weird this is an interesting take about Russia, and

542
00:30:04,040 --> 00:30:06,680
Speaker 1: then like weird stuff again. That's where I got the

543
00:30:06,680 --> 00:30:09,320
Speaker 1: strip club stuff. It was a video about strip clubs

544
00:30:09,320 --> 00:30:12,480
Speaker 1: in Columbia, and I'm like what. And then also George

545
00:30:12,720 --> 00:30:16,400
Speaker 1: old George Carlin stand up about class consciousness. So I'm

546
00:30:16,440 --> 00:30:20,880
Speaker 1: wondering if this person got like rat like quasi radicalized,

547
00:30:20,960 --> 00:30:24,680
Speaker 1: because at the bottom of this Barstool Sports article is

548
00:30:24,720 --> 00:30:28,560
Speaker 1: a George Carlin clip. Yeah, the illusion of choice. So

549
00:30:28,560 --> 00:30:30,360
Speaker 1: it feels like a dude who may have been on

550
00:30:30,400 --> 00:30:35,240
Speaker 1: the barstool wagon caught some Carlin, got some class consciousness,

551
00:30:35,320 --> 00:30:39,400
Speaker 1: got momentarily radicalized, and then went back to their regularly

552
00:30:39,400 --> 00:30:41,680
Speaker 1: scheduled program of like this is the hottest pool vaulter

553
00:30:41,800 --> 00:30:42,480
Speaker 1: in the pac ten.

554
00:30:42,840 --> 00:30:45,760
Speaker 2: I mean, the political world has been has been talking

555
00:30:45,800 --> 00:30:49,800
Speaker 2: about Republican, like Barstool Republicans for a long time now

556
00:30:49,920 --> 00:30:53,240
Speaker 2: being right, you know people who are like I define

557
00:30:53,240 --> 00:30:57,440
Speaker 2: myself as masculine and therefore I hate Democrats and I

558
00:30:57,480 --> 00:31:02,680
Speaker 2: love Republicans because Dave Porton Portnoy says things that make

559
00:31:02,760 --> 00:31:03,600
Speaker 2: me laugh something.

560
00:31:03,680 --> 00:31:05,280
Speaker 1: Right, But but like.

561
00:31:05,840 --> 00:31:09,560
Speaker 2: I didn't realize that that included like economic populism.

562
00:31:09,680 --> 00:31:12,960
Speaker 1: I don't think it does generally. I'm just yeah, that's on,

563
00:31:13,120 --> 00:31:16,560
Speaker 1: Like I want to know more about whom like like

564
00:31:16,680 --> 00:31:20,200
Speaker 1: if this is just a cobbled together with AI they're

565
00:31:20,280 --> 00:31:23,680
Speaker 1: using some guy's name to attribute it to it, or

566
00:31:23,720 --> 00:31:25,640
Speaker 1: if this is just kind of or maybe I'm I'm

567
00:31:25,720 --> 00:31:28,080
Speaker 1: not reading enough Barstool and I'm realizing I do.

568
00:31:28,000 --> 00:31:30,840
Speaker 4: You think it's I think things like that are super

569
00:31:30,880 --> 00:31:33,480
Speaker 4: believable because I do think that, like now more than ever,

570
00:31:33,560 --> 00:31:36,480
Speaker 4: people's beliefs are in like a blender and it's more

571
00:31:36,520 --> 00:31:38,720
Speaker 4: of a grab bag. Like you'll find people who are

572
00:31:38,760 --> 00:31:44,080
Speaker 4: really like socially like liberal who are anti vaxers or

573
00:31:44,160 --> 00:31:46,560
Speaker 4: you know, like that's where it started, but now it's

574
00:31:46,640 --> 00:31:48,960
Speaker 4: like it you really like if you're out in the

575
00:31:49,080 --> 00:31:53,040
Speaker 4: dating scene, you have to ask like all of the questions, right, right,

576
00:31:53,080 --> 00:31:56,840
Speaker 4: because because at any point could someone be like, yeah,

577
00:31:56,880 --> 00:31:58,400
Speaker 4: this is this is normal.

578
00:31:58,480 --> 00:31:59,240
Speaker 3: This is normal.

579
00:32:00,120 --> 00:32:03,560
Speaker 4: Alarm soundly alarm, right right, because people are like that

580
00:32:03,600 --> 00:32:07,760
Speaker 4: with like just the most random random beliefs, Like it's

581
00:32:07,800 --> 00:32:11,040
Speaker 4: no longer like okay, like this party believes this and

582
00:32:11,080 --> 00:32:14,720
Speaker 4: this other party believes this, like kind of a general divide.

583
00:32:15,000 --> 00:32:18,160
Speaker 4: It's like you could be insane and like all sorts

584
00:32:18,160 --> 00:32:18,600
Speaker 4: of things.

585
00:32:18,920 --> 00:32:20,920
Speaker 1: I think there's also like this other thing too, where

586
00:32:21,120 --> 00:32:23,840
Speaker 1: regardless of maybe what you're like sort of you know,

587
00:32:24,000 --> 00:32:28,720
Speaker 1: registered voting political beliefs are that the world you interact

588
00:32:28,760 --> 00:32:31,160
Speaker 1: with the world, where like your observations are like why

589
00:32:31,160 --> 00:32:33,200
Speaker 1: the fuck is all this shit so expensive and they're

590
00:32:33,240 --> 00:32:36,320
Speaker 1: making money and just on your own through just existing,

591
00:32:36,360 --> 00:32:38,800
Speaker 1: you kind of arrive at this conclusion too, even though

592
00:32:39,720 --> 00:32:41,560
Speaker 1: right yeah, even though you're like I thought you're supposed

593
00:32:41,560 --> 00:32:43,320
Speaker 1: to be like one of these free market like conservative

594
00:32:43,360 --> 00:32:45,120
Speaker 1: type people, but at the end you're like, nah, I

595
00:32:45,440 --> 00:32:49,640
Speaker 1: write for barstool and shit's expensive, so this is kind

596
00:32:49,640 --> 00:32:52,320
Speaker 1: of fucked up. But anyway, here the top strip clubs

597
00:32:52,320 --> 00:32:53,400
Speaker 1: in Bogata.

598
00:32:53,640 --> 00:32:56,000
Speaker 3: It's like how that like there was that article is.

599
00:32:55,960 --> 00:32:59,600
Speaker 2: Really good by the way that you kidd like they go.

600
00:32:59,640 --> 00:33:05,200
Speaker 4: Deep it's actually about a universal health care No, there

601
00:33:05,240 --> 00:33:07,920
Speaker 4: was actually like somebody in like Indiana or something like.

602
00:33:07,920 --> 00:33:10,280
Speaker 4: I remember like listening to all these interviews during the

603
00:33:10,320 --> 00:33:13,960
Speaker 4: last election cycle about how people are like pro Trump,

604
00:33:14,120 --> 00:33:17,040
Speaker 4: but they actually do believe in the tenets of universal

605
00:33:17,040 --> 00:33:20,000
Speaker 4: health care, but they hate they like don't want Obamacare,

606
00:33:20,240 --> 00:33:24,360
Speaker 4: like so they don't. People don't fully understand necessarily like

607
00:33:24,480 --> 00:33:28,000
Speaker 4: the labels or the so called theory, like they're not

608
00:33:28,080 --> 00:33:30,320
Speaker 4: like Marxists, you know what I mean, but they do

609
00:33:31,160 --> 00:33:33,600
Speaker 4: they do still have that feeling that you were describing

610
00:33:33,600 --> 00:33:36,000
Speaker 4: of like something isn't right here and like you should

611
00:33:36,000 --> 00:33:37,520
Speaker 4: all be able to afford food and rent.

612
00:33:37,680 --> 00:33:39,440
Speaker 1: But I don't want to call it it'd be funny.

613
00:33:39,680 --> 00:33:41,440
Speaker 1: Like the end, it really is like sincerely, guys, Like

614
00:33:41,480 --> 00:33:42,920
Speaker 1: I don't know about you, guys, but it's like I

615
00:33:43,000 --> 00:33:45,040
Speaker 1: clock in for a job where like they take the

616
00:33:45,080 --> 00:33:47,400
Speaker 1: work that I do and they get rich off of it,

617
00:33:47,600 --> 00:33:52,400
Speaker 1: and I just feel so distinct the means whatever I'm created,

618
00:33:52,960 --> 00:33:55,680
Speaker 1: you know, it's just odd that I feel so disconnected

619
00:33:55,680 --> 00:33:59,200
Speaker 1: and isolated from it as a working person. Whatever. Anyway,

620
00:33:59,280 --> 00:33:59,960
Speaker 1: here the top.

621
00:33:59,800 --> 00:34:04,640
Speaker 3: Two wish up and break down unions, Like.

622
00:34:08,320 --> 00:34:11,640
Speaker 1: Dude would you kill man, would you kill?

623
00:34:12,400 --> 00:34:16,880
Speaker 2: Okay, like a carnivore or like somebody a worker who's

624
00:34:16,880 --> 00:34:21,160
Speaker 2: trying to Yeah, it's just wild that there's a policy

625
00:34:21,160 --> 00:34:26,400
Speaker 2: position that's so popular on both sides that neither major

626
00:34:26,440 --> 00:34:32,360
Speaker 2: party will openly agree to take. And when one does,

627
00:34:32,520 --> 00:34:37,399
Speaker 2: like with Kamala Harris's you know policy, it's pretty tame

628
00:34:37,480 --> 00:34:42,719
Speaker 2: and it gets absolutely destroyed by mainstream media. Let's for

629
00:34:42,840 --> 00:34:47,880
Speaker 2: being like extremist and unrealistic. And she's not a real adult,

630
00:34:48,480 --> 00:34:55,239
Speaker 2: right right, right, Sorry, miss, we're adulting here. We're three economists. Anyways,

631
00:34:55,600 --> 00:34:59,959
Speaker 2: let's talk about phones in school. I guess I didn't

632
00:35:00,080 --> 00:35:03,520
Speaker 2: realized that kids were on their phones in classes as

633
00:35:03,600 --> 00:35:06,120
Speaker 2: much as they are. There's this episode of The Daily

634
00:35:06,640 --> 00:35:12,080
Speaker 2: Today that is, I didn't realize, like they're saying, like

635
00:35:12,120 --> 00:35:14,640
Speaker 2: people came back from the pandemic and they were just

636
00:35:14,680 --> 00:35:16,799
Speaker 2: like everybody's like on their phones. They got so used

637
00:35:16,800 --> 00:35:20,839
Speaker 2: to interacting with each other and school via screens, Like

638
00:35:20,920 --> 00:35:25,719
Speaker 2: now that's just like impossible to take away. And now

639
00:35:25,719 --> 00:35:29,040
Speaker 2: they're trying to institute these bands, but there's like mixed

640
00:35:29,120 --> 00:35:34,600
Speaker 2: messaging on how popular that is or how successful or

641
00:35:34,960 --> 00:35:38,399
Speaker 2: even feasible it is. We talked a few weeks back

642
00:35:38,440 --> 00:35:41,239
Speaker 2: about the fact that the most posh prep school in

643
00:35:41,320 --> 00:35:45,600
Speaker 2: London has banned smartphones and given students dumb phones instead.

644
00:35:46,120 --> 00:35:48,399
Speaker 4: They're like those phones with bubble gum in them from

645
00:35:48,400 --> 00:35:49,960
Speaker 4: when we were kids exactly.

646
00:35:51,800 --> 00:35:53,279
Speaker 3: Now there's come everywhere.

647
00:35:53,880 --> 00:35:57,279
Speaker 1: Yeah, and I can't call my mom. Yeah.

648
00:35:57,320 --> 00:35:59,920
Speaker 2: That was the thing that they were fighting against. One

649
00:36:00,040 --> 00:36:01,760
Speaker 2: I was in school was gum chewing.

650
00:36:03,440 --> 00:36:06,040
Speaker 4: Had to contend with this is a this is a

651
00:36:06,120 --> 00:36:09,040
Speaker 4: type of friends I had. My science teacher had to

652
00:36:09,080 --> 00:36:13,360
Speaker 4: impose a Magic the Gathering tax because so many of

653
00:36:13,400 --> 00:36:15,640
Speaker 4: my friends were playing it, and she also knew how

654
00:36:15,680 --> 00:36:17,680
Speaker 4: to play it, so she would take She was like,

655
00:36:17,719 --> 00:36:19,759
Speaker 4: if I see those cards out, I'm gonna take your

656
00:36:19,840 --> 00:36:20,880
Speaker 4: best cards.

657
00:36:20,920 --> 00:36:21,640
Speaker 3: And we did.

658
00:36:23,719 --> 00:36:25,520
Speaker 1: I'm gonna take you your best card.

659
00:36:26,040 --> 00:36:28,600
Speaker 4: Yeah. She was like really good at Magic the Gathering,

660
00:36:28,719 --> 00:36:33,040
Speaker 4: so she was she just building her sets Ultimate Hotly Ship.

661
00:36:33,200 --> 00:36:35,759
Speaker 1: Yeah. Ours was just like playing like drug Wars on

662
00:36:35,880 --> 00:36:38,680
Speaker 1: like T I eighty three, Like that was like the

663
00:36:38,719 --> 00:36:43,000
Speaker 1: biggest distraction we had at the time. But yeah, it is.

664
00:36:43,160 --> 00:36:45,360
Speaker 1: It is funny though too. Like Jack, both when you

665
00:36:45,400 --> 00:36:46,880
Speaker 1: said that, both you and I are like, damn, my

666
00:36:46,960 --> 00:36:48,680
Speaker 1: kids are like on their phone, like just like as

667
00:36:48,719 --> 00:36:52,440
Speaker 1: if we couldn't per conceive a world where that was

668
00:36:52,520 --> 00:36:54,880
Speaker 1: even possible, like it used to be. You get in

669
00:36:54,920 --> 00:36:56,239
Speaker 1: big trouble for chewing gum.

670
00:36:56,800 --> 00:37:02,760
Speaker 4: Yeah right, I'm enjoying watching you to continue parenting.

671
00:37:04,680 --> 00:37:07,879
Speaker 3: They're like kids phones. They don't seem to like those.

672
00:37:09,520 --> 00:37:11,160
Speaker 1: But I mean they like them to I don't know.

673
00:37:11,239 --> 00:37:13,760
Speaker 2: So the daily episode lands in a place in between

674
00:37:13,840 --> 00:37:16,680
Speaker 2: being like, we get why they're banning it, but we

675
00:37:16,719 --> 00:37:19,840
Speaker 2: don't have the data to support whether this ban is

676
00:37:19,880 --> 00:37:22,560
Speaker 2: good or bad. It really feels like, I don't know

677
00:37:22,600 --> 00:37:25,680
Speaker 2: how how are you not just taking the comments like,

678
00:37:26,160 --> 00:37:29,040
Speaker 2: I mean, come on, we know it's fucking bad for kids.

679
00:37:29,080 --> 00:37:34,239
Speaker 2: Like the anecdotal evidence includes watching kids walk around like zombies,

680
00:37:34,480 --> 00:37:39,160
Speaker 2: watching like seeing their mental health deteriorate like in this generation,

681
00:37:39,719 --> 00:37:43,279
Speaker 2: the way they react like addicts when your takeaway take

682
00:37:43,320 --> 00:37:46,640
Speaker 2: away their phone, the fact that the people who design

683
00:37:46,760 --> 00:37:50,200
Speaker 2: the phones and the software don't allow their kids to

684
00:37:50,320 --> 00:37:53,840
Speaker 2: use this shit, everything about the software being designed to

685
00:37:53,920 --> 00:37:58,600
Speaker 2: make money and surveil and manipulate their behavior and nothing

686
00:37:59,000 --> 00:38:02,680
Speaker 2: has to do with like any anything that's good for them.

687
00:38:02,800 --> 00:38:05,080
Speaker 2: And the detail they used a question whether it's bad

688
00:38:05,239 --> 00:38:08,560
Speaker 2: is like, but there are these like learning applications on phones,

689
00:38:08,600 --> 00:38:11,680
Speaker 2: and we don't know if those are like canceling out

690
00:38:11,760 --> 00:38:12,879
Speaker 2: all the other ship and.

691
00:38:12,800 --> 00:38:16,560
Speaker 4: It's a little right, Okay, here's a compromise that I

692
00:38:16,560 --> 00:38:19,440
Speaker 4: think will be really good. I think, sure, you take

693
00:38:19,440 --> 00:38:23,480
Speaker 4: away the kids' phones whatever, but in every class there's

694
00:38:23,160 --> 00:38:26,839
Speaker 4: the most like the funniest kid gets to keep their

695
00:38:26,880 --> 00:38:30,400
Speaker 4: phone just so that they get to be the racist

696
00:38:30,440 --> 00:38:33,560
Speaker 4: teacher monitor and like pull it out anytime the teacher.

697
00:38:33,360 --> 00:38:35,040
Speaker 3: Is doing some sus ship, you know what I mean.

698
00:38:35,320 --> 00:38:37,680
Speaker 4: I can't lose those tiktoks where the teacher just like

699
00:38:37,760 --> 00:38:40,279
Speaker 4: goes off and you're like, are we living in the fifties?

700
00:38:41,960 --> 00:38:42,200
Speaker 3: What?

701
00:38:42,640 --> 00:38:45,440
Speaker 1: It's funny too, like those teachers like someone was videotaping that.

702
00:38:46,440 --> 00:38:50,840
Speaker 2: Yeah, yeah, but being like they're allowed to have phones

703
00:38:50,880 --> 00:38:51,839
Speaker 2: in class.

704
00:38:53,640 --> 00:38:56,520
Speaker 3: See them use a crank and put a sheet over there.

705
00:38:57,040 --> 00:39:00,680
Speaker 1: Sorry, what I meant to say about the trail of tears,

706
00:39:00,920 --> 00:39:04,000
Speaker 1: It wasn't fact. You're like, whoa, whoa easy, E's easy.

707
00:39:04,560 --> 00:39:06,880
Speaker 2: Some people do have tears of laughter.

708
00:39:07,320 --> 00:39:10,640
Speaker 1: I'm just saying it's possible. It's possible, it's possible.

709
00:39:10,360 --> 00:39:14,240
Speaker 2: But this is happening. As we just got new evidence

710
00:39:14,320 --> 00:39:18,560
Speaker 2: that phones are listening to smartphone, microphones and using AI

711
00:39:18,760 --> 00:39:21,120
Speaker 2: to capture real time intent data.

712
00:39:21,640 --> 00:39:24,439
Speaker 1: Yeah, this felt like a thing we would talk about

713
00:39:24,480 --> 00:39:27,960
Speaker 1: a lot early on in the show of just being

714
00:39:28,000 --> 00:39:31,480
Speaker 1: like our phones were like, I think our phones are

715
00:39:31,560 --> 00:39:34,959
Speaker 1: listening to us. How come a thing I've never searched for,

716
00:39:35,719 --> 00:39:39,080
Speaker 1: talked about, but never even interacted with anything in my

717
00:39:39,120 --> 00:39:42,640
Speaker 1: browsing history. I'm suddenly being served ads for this thing.

718
00:39:43,080 --> 00:39:46,200
Speaker 2: And it's because Miles we recorded the show in person

719
00:39:46,400 --> 00:39:50,160
Speaker 2: and had out loud conversations about what we were going

720
00:39:50,239 --> 00:39:54,080
Speaker 2: to cover on the show. Yeah, and then as we

721
00:39:54,120 --> 00:39:57,200
Speaker 2: were like putting the doc together, we would be like, weird,

722
00:39:57,280 --> 00:40:01,319
Speaker 2: now it's like serving me a ad for lawnmowers, even

723
00:40:01,320 --> 00:40:04,239
Speaker 2: though like I was randomly talking about lawnmowers and the.

724
00:40:04,440 --> 00:40:12,960
Speaker 4: Miles, Miles is only obsessed with like Casper and.

725
00:40:10,640 --> 00:40:12,400
Speaker 3: And he's like, why do I keep getting ads for

726
00:40:12,520 --> 00:40:14,560
Speaker 3: that that? Even though that's all I ever wanted in.

727
00:40:14,960 --> 00:40:19,440
Speaker 1: You mean, yeah, I love Casper mattresses or loved but

728
00:40:19,560 --> 00:40:22,399
Speaker 1: like you know, even like when you would search right

729
00:40:22,560 --> 00:40:24,520
Speaker 1: like all the time, I remember, we'd be like this,

730
00:40:24,520 --> 00:40:27,279
Speaker 1: this can't be and like all the articles you'd get

731
00:40:27,280 --> 00:40:29,480
Speaker 1: when you searched for like the question of like our

732
00:40:29,560 --> 00:40:32,520
Speaker 1: our phones listening to us. There was some techie breakdown

733
00:40:32,960 --> 00:40:35,680
Speaker 1: about how like algorithms figure out that you're mighty in

734
00:40:35,760 --> 00:40:38,200
Speaker 1: proximity to someone that you're friends with and they know

735
00:40:38,320 --> 00:40:41,520
Speaker 1: you are via Facebook, and therefore you it may be

736
00:40:41,680 --> 00:40:43,919
Speaker 1: relevant to you, so that's why the ad will show

737
00:40:44,000 --> 00:40:46,880
Speaker 1: up or whatever. But even then I'm like, Okay, that

738
00:40:46,960 --> 00:40:49,239
Speaker 1: seemed feasible. At least it was feasible enough that I

739
00:40:49,280 --> 00:40:51,680
Speaker 1: was like, all right, that that could that totally could be.

740
00:40:51,800 --> 00:40:54,600
Speaker 1: And then we kind of moved on. But then this

741
00:40:54,719 --> 00:40:58,040
Speaker 1: leak came out from Cox Media Group and there was

742
00:40:58,080 --> 00:41:03,000
Speaker 1: a pitch deck that ran media Brian Cox, Yes, exactly,

743
00:41:03,200 --> 00:41:08,279
Speaker 1: fuck fuck off, fuck off Media Group. And so in

744
00:41:08,360 --> 00:41:12,719
Speaker 1: this leaked pitch deck to prospective customers, and they were

745
00:41:12,800 --> 00:41:16,480
Speaker 1: one of Facebook's like marketing partners, although now like after this,

746
00:41:16,680 --> 00:41:19,320
Speaker 1: Meta and a few other companies have been to distance

747
00:41:19,360 --> 00:41:22,319
Speaker 1: themselves from Cox. It talked about how it listens to

748
00:41:22,440 --> 00:41:26,560
Speaker 1: users smartphone microphones and advertises to them. Accordingly, the TV

749
00:41:26,640 --> 00:41:29,759
Speaker 1: and radio news giant Cox Media Group claims that it's

750
00:41:29,760 --> 00:41:33,760
Speaker 1: so called quote active listening software uses AI to quote

751
00:41:33,920 --> 00:41:38,200
Speaker 1: capture real time intent data by listening to our conversations

752
00:41:39,280 --> 00:41:40,000
Speaker 1: That's why.

753
00:41:39,800 --> 00:41:42,319
Speaker 4: I'm always like, oh my god, you know what I

754
00:41:42,360 --> 00:41:46,799
Speaker 4: could really go for right now is healthcare or like

755
00:41:47,280 --> 00:41:48,560
Speaker 4: lower guess.

756
00:41:49,360 --> 00:41:51,560
Speaker 1: Right or to Suddy it's like, hey, man, come through

757
00:41:51,560 --> 00:41:54,160
Speaker 1: to mobile where it's way expensive, but we heard you

758
00:41:54,200 --> 00:41:56,080
Speaker 1: need guess. Sorry, don't know what else to tell you.

759
00:41:56,120 --> 00:41:59,120
Speaker 1: And then it goes on quote advertisers compare this voice

760
00:41:59,200 --> 00:42:03,200
Speaker 1: data with behavior yeeral data to target in market consumers.

761
00:42:03,440 --> 00:42:07,600
Speaker 1: That's what the deck said. That all sounds perfectly nonsinister

762
00:42:07,680 --> 00:42:07,880
Speaker 1: to me.

763
00:42:09,080 --> 00:42:12,839
Speaker 4: Point the technology is gonna be like girl, dump him.

764
00:42:13,960 --> 00:42:16,000
Speaker 1: You know he's been like visiting like a rite aid.

765
00:42:16,080 --> 00:42:18,400
Speaker 1: That's way out of the way from y'all right. I

766
00:42:18,440 --> 00:42:20,879
Speaker 1: don't know what fore, but based on what I'm saying

767
00:42:20,880 --> 00:42:23,120
Speaker 1: from this map view, there's a corner of the parking

768
00:42:23,160 --> 00:42:25,200
Speaker 1: lot where it's not visible to cameras or people on

769
00:42:25,239 --> 00:42:27,160
Speaker 1: the street anyway, I don't know, can check that out.

770
00:42:27,760 --> 00:42:34,080
Speaker 4: FBI agents like really, DM, the FBI just uses this

771
00:42:34,239 --> 00:42:35,560
Speaker 4: software to just find people.

772
00:42:35,840 --> 00:42:38,480
Speaker 1: That's how they found bin Laden. Actually it wasn't even

773
00:42:38,520 --> 00:42:42,279
Speaker 1: the CIA, it was just this Facebook as man, come on.

774
00:42:42,280 --> 00:42:45,680
Speaker 2: Nobody likes volleyball and Whitney Houston this much, except for

775
00:42:46,600 --> 00:42:47,800
Speaker 2: we got him the pacer.

776
00:42:48,120 --> 00:42:51,360
Speaker 1: So then like, apparently this is the third time in

777
00:42:51,400 --> 00:42:54,560
Speaker 1: the last year that Cox has gotten media attention for

778
00:42:54,640 --> 00:42:59,640
Speaker 1: their active listening feature. They also deleted a Cox media group.

779
00:42:59,680 --> 00:43:02,960
Speaker 1: Big Deal leaded a blog post from their own website

780
00:43:03,000 --> 00:43:06,320
Speaker 1: from last year that was talking about active listening and

781
00:43:06,360 --> 00:43:08,879
Speaker 1: you can see it through the Internet archive thank god.

782
00:43:09,040 --> 00:43:12,040
Speaker 1: It said there's one section like is it legal? You know,

783
00:43:12,239 --> 00:43:15,120
Speaker 1: is active listener? Like this is their active listening faq?

784
00:43:15,880 --> 00:43:22,440
Speaker 1: Is active listening legal? Answer? Yeah? Right? Oh wow? Is

785
00:43:22,600 --> 00:43:26,920
Speaker 1: selling human organs that you've procured outside of you know,

786
00:43:27,160 --> 00:43:31,560
Speaker 1: normal channels illegal? Well, allow us to answer that. This says, quote,

787
00:43:31,719 --> 00:43:37,680
Speaker 1: we know what you're thinking. Is this even legal? Funny,

788
00:43:38,719 --> 00:43:42,520
Speaker 1: there's no, he said. The short answer is yes, it

789
00:43:42,640 --> 00:43:44,880
Speaker 1: is legal for phones and devices to listen to you.

790
00:43:45,160 --> 00:43:48,239
Speaker 1: When a new app download or update prompts consumers with

791
00:43:48,360 --> 00:43:51,440
Speaker 1: a multi page terms of use agreement, somewhere in the

792
00:43:51,480 --> 00:43:56,920
Speaker 1: fine print, active listening is often included. And you're like, oh,

793
00:43:57,000 --> 00:44:01,759
Speaker 1: holy shit, Okay, that's that's an in there. Yeah, your

794
00:44:01,840 --> 00:44:04,799
Speaker 1: part read you could become widowed, way you could.

795
00:44:04,880 --> 00:44:07,080
Speaker 2: I just want to say it's not your fault that

796
00:44:07,080 --> 00:44:09,279
Speaker 2: that's the thing that's like unspoken we all like for.

797
00:44:09,239 --> 00:44:11,000
Speaker 1: A long time, we're like, yeah, we just agree to

798
00:44:11,040 --> 00:44:12,960
Speaker 1: this ship. Who cares? Like, what are we going to do?

799
00:44:13,040 --> 00:44:14,919
Speaker 1: Read it? But like kind of being like ha ha,

800
00:44:15,160 --> 00:44:18,160
Speaker 1: we're idiots. No, it's impossible.

801
00:44:17,560 --> 00:44:19,319
Speaker 2: To live life without agreeing to that ship.

802
00:44:19,640 --> 00:44:20,319
Speaker 1: Like or.

803
00:44:22,160 --> 00:44:26,040
Speaker 4: It's like when the when Disney tried to like invalidate

804
00:44:26,080 --> 00:44:29,320
Speaker 4: that lady's lawsuit by being like, well you watched.

805
00:44:29,000 --> 00:44:33,640
Speaker 1: The TV you got Disney plus right, Oh well well

806
00:44:33,680 --> 00:44:36,520
Speaker 1: well asshole, look who doesn't read the fine print because

807
00:44:36,560 --> 00:44:39,120
Speaker 1: you gave up your thought we couldn't kill you.

808
00:44:39,400 --> 00:44:44,799
Speaker 4: The plus stands for negative rights, right yeah, yeah, that's

809
00:44:44,800 --> 00:44:46,960
Speaker 4: so funny. Also, like really fucked up of them to

810
00:44:46,960 --> 00:44:49,520
Speaker 4: call it active listening after everything I learned in school

811
00:44:49,520 --> 00:44:55,000
Speaker 4: about how important acting is. Yeah right, right right, they're

812
00:44:55,080 --> 00:44:58,080
Speaker 4: doing a woke is up you got there, very smart.

813
00:44:58,440 --> 00:45:01,960
Speaker 4: Their therapy speaking their way through surveillance states.

814
00:45:01,520 --> 00:45:04,080
Speaker 2: Well, they've been active listening in all those classrooms. So

815
00:45:04,120 --> 00:45:07,600
Speaker 2: they heard the teachers teaching kids that active listening is good.

816
00:45:07,640 --> 00:45:10,680
Speaker 2: So that's how they got the idea that are like, yeah.

817
00:45:10,480 --> 00:45:12,840
Speaker 4: You're just sitting there like on your phone, and the

818
00:45:12,880 --> 00:45:16,000
Speaker 4: froend's like, oh that's nice. You're like what's the fun?

819
00:45:15,640 --> 00:45:18,200
Speaker 4: They're like, I hear you get over.

820
00:45:19,560 --> 00:45:21,439
Speaker 1: I've got a new idea. What the fun?

821
00:45:23,880 --> 00:45:26,400
Speaker 2: But yeah, so these are the people that the daily

822
00:45:26,480 --> 00:45:27,319
Speaker 2: episode is.

823
00:45:27,239 --> 00:45:30,239
Speaker 1: Like, we don't it's too soon to tell. But I

824
00:45:30,239 --> 00:45:30,600
Speaker 1: don't know.

825
00:45:30,719 --> 00:45:32,839
Speaker 2: It just feels it feels like it's not too soon

826
00:45:32,880 --> 00:45:36,920
Speaker 2: to tell if having smartphones in school is better than

827
00:45:36,960 --> 00:45:38,080
Speaker 2: not having them in school.

828
00:45:38,160 --> 00:45:40,080
Speaker 1: I just don't. Yeah, And I'm sure, Hey, I know

829
00:45:40,080 --> 00:45:42,200
Speaker 1: there are people who are educators that listen to the show.

830
00:45:42,960 --> 00:45:44,920
Speaker 1: I feel like even people who I know who are

831
00:45:44,960 --> 00:45:47,960
Speaker 1: teachers and stuff, they always talk about how much of

832
00:45:48,160 --> 00:45:50,560
Speaker 1: a distraction it is, And depending on the school, you

833
00:45:50,600 --> 00:45:54,080
Speaker 1: have policies or they're like just it's like lightly discouraging,

834
00:45:54,280 --> 00:45:57,400
Speaker 1: or it's like a huge problem if your phone comes out.

835
00:45:57,440 --> 00:45:59,440
Speaker 1: But it just feels like a thing where it's like,

836
00:45:59,760 --> 00:46:03,759
Speaker 1: if it's an emergency, there there are ways for you

837
00:46:03,800 --> 00:46:04,640
Speaker 1: to be contacted.

838
00:46:04,680 --> 00:46:08,239
Speaker 2: That's yeah, no, no, no, for sure, And it's probably

839
00:46:08,840 --> 00:46:11,200
Speaker 2: you know, enforced in a really fucked up way where

840
00:46:11,400 --> 00:46:14,880
Speaker 2: like the teachers being the front line are just forced

841
00:46:15,000 --> 00:46:18,640
Speaker 2: to deal with kids who are addicted to their phone.

842
00:46:18,680 --> 00:46:21,360
Speaker 1: Hey, trying to get these guys the cold Turkey heroin

843
00:46:21,520 --> 00:46:24,160
Speaker 1: in your in your in your in your eighty minute class.

844
00:46:24,480 --> 00:46:27,000
Speaker 4: Yeah, you guys are acting like the students or the

845
00:46:27,080 --> 00:46:29,719
Speaker 4: problem when I'm sure the teachers are like these don't

846
00:46:29,719 --> 00:46:34,319
Speaker 4: make me give up my phone. They're like please, Yeah, no,

847
00:46:34,400 --> 00:46:36,799
Speaker 4: we shouldn't have phones in classrooms, but they should all

848
00:46:36,840 --> 00:46:37,640
Speaker 4: be in my drawer.

849
00:46:39,280 --> 00:46:41,320
Speaker 3: I'm on a candy crush crush streak.

850
00:46:41,480 --> 00:46:44,080
Speaker 1: Okay, hey, someone hooked me up with some credits. You

851
00:46:44,120 --> 00:46:46,400
Speaker 1: can transform. You can transform if you have my email.

852
00:46:46,880 --> 00:46:48,520
Speaker 3: He needs who needs extra credit?

853
00:46:48,920 --> 00:46:51,440
Speaker 1: Yeah, oh my god. I had a teacher like that.

854
00:46:51,760 --> 00:46:53,040
Speaker 1: Did you ever ever ever teach.

855
00:46:52,800 --> 00:46:56,120
Speaker 2: You wanted extra credit? I need some extra credit, dude.

856
00:46:56,480 --> 00:47:00,360
Speaker 1: We had a teacher, my biology teacher sophomore year, said

857
00:47:00,400 --> 00:47:04,040
Speaker 1: we could get like, uh, like a half letter grade

858
00:47:04,200 --> 00:47:09,760
Speaker 1: adjustment upward if we donated to the cross country running team.

859
00:47:09,800 --> 00:47:10,960
Speaker 3: That's fucking insane.

860
00:47:12,280 --> 00:47:14,480
Speaker 1: And we were like, yeah, yeah, say let's say less

861
00:47:14,560 --> 00:47:16,840
Speaker 1: because I'm not fucking with the I'm not fucking with

862
00:47:17,200 --> 00:47:20,200
Speaker 1: cell respiration. So yeah, how much you want? Ten bucks?

863
00:47:21,000 --> 00:47:23,360
Speaker 1: And I remember and then it then I remember, like

864
00:47:23,480 --> 00:47:25,200
Speaker 1: at the time, I was like, this is great, dude,

865
00:47:25,280 --> 00:47:26,879
Speaker 1: ten bucks and I don't have to study. And then

866
00:47:26,880 --> 00:47:29,239
Speaker 1: a student who was much smarter, like went to the

867
00:47:29,280 --> 00:47:31,759
Speaker 1: school and was like, uh, they're saying if we give

868
00:47:31,800 --> 00:47:35,040
Speaker 1: them money, they'll change our grades, and like the teacher

869
00:47:35,080 --> 00:47:36,960
Speaker 1: had to give us all our money back, but then

870
00:47:37,080 --> 00:47:43,879
Speaker 1: also had to keep our grades like with the adjustment too. Wow, no, no, yeah,

871
00:47:43,880 --> 00:47:45,879
Speaker 1: we got the grades and our money back. And we're

872
00:47:45,920 --> 00:47:50,080
Speaker 1: like there you go, thank you go. Yeah, all right,

873
00:47:50,160 --> 00:48:02,640
Speaker 1: let's take a quick break. We'll be right back and

874
00:48:02,840 --> 00:48:06,359
Speaker 1: we're back. We are and oh yeah we are? Are

875
00:48:06,400 --> 00:48:06,840
Speaker 1: we back?

876
00:48:07,440 --> 00:48:07,560
Speaker 4: Well?

877
00:48:07,760 --> 00:48:09,279
Speaker 1: Are we? Yeah? We are, we are.

878
00:48:09,880 --> 00:48:14,560
Speaker 3: We're so bad, We're so fucking back. Dude.

879
00:48:14,680 --> 00:48:17,760
Speaker 1: Oh man, I'll tell you who is back. Ronald Reagan?

880
00:48:18,680 --> 00:48:20,920
Speaker 1: Fuck why oh no?

881
00:48:21,600 --> 00:48:25,800
Speaker 2: Wal So, the Ronald Reagan movie came out this past

882
00:48:25,840 --> 00:48:29,600
Speaker 2: weekend and it did wal at the box office.

883
00:48:29,840 --> 00:48:32,160
Speaker 1: It did pretty well. What were they? What were what

884
00:48:32,239 --> 00:48:35,160
Speaker 1: was the bar low? They're like what, there's like maybe

885
00:48:35,520 --> 00:48:38,560
Speaker 1: six hundred people who would actually get off their ass

886
00:48:38,560 --> 00:48:41,520
Speaker 1: to see this, So what are we calling it? Ten grand?

887
00:48:43,200 --> 00:48:46,480
Speaker 2: So it made ten million dollars, which exceeded their expectation

888
00:48:46,640 --> 00:48:50,520
Speaker 2: of six million dollars on a budget of like I

889
00:48:50,560 --> 00:48:53,480
Speaker 2: think it was like fifty million dollars. So it's not

890
00:48:54,000 --> 00:48:56,880
Speaker 2: it's not great. Yeah, I wouldn't especially, it's like just

891
00:48:57,000 --> 00:49:00,560
Speaker 2: production budget doesn't. See like if they did the thing

892
00:49:00,680 --> 00:49:03,160
Speaker 2: that all movies do, which is like spend as much

893
00:49:03,440 --> 00:49:07,440
Speaker 2: on marketing as you do on production, they probably are

894
00:49:07,440 --> 00:49:08,680
Speaker 2: not gonna make their money back.

895
00:49:08,840 --> 00:49:11,480
Speaker 4: But okay, Jack, you just gotta wait for the trickle

896
00:49:11,520 --> 00:49:14,719
Speaker 4: down budget. Okay, that's coming in and it's gonna make

897
00:49:14,760 --> 00:49:15,320
Speaker 4: it all better.

898
00:49:15,520 --> 00:49:18,880
Speaker 1: That's right. I don't even know. Oh, this is why

899
00:49:18,920 --> 00:49:24,399
Speaker 1: Dennis Quaid was trending. Yeah, dude, I mean reason when

900
00:49:24,440 --> 00:49:27,080
Speaker 1: you first mentioned this, Like there's a fucking Reagan movie.

901
00:49:27,160 --> 00:49:28,440
Speaker 3: I know, I saw like.

902
00:49:28,520 --> 00:49:31,480
Speaker 1: One is my phone listening. I talk about Ronald Reagan

903
00:49:31,520 --> 00:49:35,319
Speaker 1: all the fucking time. I didn't start one at Cox

904
00:49:35,640 --> 00:49:36,960
Speaker 1: Media Group. Yeah. Yeah.

905
00:49:37,000 --> 00:49:39,839
Speaker 2: So it's a twenty five million dollar production budget and

906
00:49:40,200 --> 00:49:44,440
Speaker 2: you usually assume that it's double that for marketing budget,

907
00:49:44,480 --> 00:49:47,080
Speaker 2: so it might make its money back to if it

908
00:49:47,080 --> 00:49:50,040
Speaker 2: gets if it gets to fifty, but the level they

909
00:49:50,040 --> 00:49:52,319
Speaker 2: set the bar at is so low. It came first

910
00:49:52,320 --> 00:49:57,399
Speaker 2: of all, came in third behind Deadpool and Wolverine which

911
00:49:57,760 --> 00:50:01,400
Speaker 2: for three weeks now, right, yeah, send out for weeks

912
00:50:01,640 --> 00:50:05,920
Speaker 2: and Alien Romulus or alien Romulents, which is what my

913
00:50:06,000 --> 00:50:10,760
Speaker 2: kids call it because they're they're obsessed. They're like alien romulents.

914
00:50:11,080 --> 00:50:14,880
Speaker 2: No no, I was like, yo, but they are. And

915
00:50:14,960 --> 00:50:16,960
Speaker 2: I remember this actually from when I was a kid,

916
00:50:16,960 --> 00:50:19,799
Speaker 2: when like I would know what movie my dad went

917
00:50:19,840 --> 00:50:21,040
Speaker 2: to see, and then I'd.

918
00:50:20,840 --> 00:50:25,120
Speaker 1: Be like, tell me everything, ye, and then pretend you

919
00:50:25,120 --> 00:50:25,920
Speaker 1: saw like an.

920
00:50:25,880 --> 00:50:28,320
Speaker 3: Alien came out of Ronald Reagan's chest.

921
00:50:30,120 --> 00:50:33,319
Speaker 1: Sorry, I was pretty drunk, and then he tore off

922
00:50:33,360 --> 00:50:36,520
Speaker 1: Gorbachev's balls. I still remember, like where I like sitting

923
00:50:36,640 --> 00:50:47,040
Speaker 1: down and tear off mister Haas.

924
00:50:48,160 --> 00:50:50,080
Speaker 2: Yeah, I still remember where I was, like when my

925
00:50:50,160 --> 00:50:54,120
Speaker 2: day explained the First Blood to me, like recapped the

926
00:50:54,160 --> 00:50:57,000
Speaker 2: movie Rambo First Blood to me, like as when I

927
00:50:57,040 --> 00:50:59,400
Speaker 2: was six, and I was like, yo, this is the

928
00:50:59,440 --> 00:51:03,040
Speaker 2: best movie going experience I've ever seen, I've ever had.

929
00:51:03,440 --> 00:51:08,880
Speaker 2: But anyways, Reagan came in third, and it might actually

930
00:51:08,960 --> 00:51:11,400
Speaker 2: drop down to fourth once all the once they figure

931
00:51:11,400 --> 00:51:16,360
Speaker 2: everything out. But it exceeded expectations. The expectations worse somehow,

932
00:51:16,400 --> 00:51:21,279
Speaker 2: even lower than that terrible result, and conservative outlets are

933
00:51:21,600 --> 00:51:26,239
Speaker 2: spiking the football. Forbes says Reagan. Critics hate, but the

934
00:51:26,280 --> 00:51:31,440
Speaker 2: audiences love. Dennis Quad's Ronald Reagan biopic National Review Reagan

935
00:51:31,520 --> 00:51:36,880
Speaker 2: triggers progressives. But movie audiences love it because yeah, critics

936
00:51:36,960 --> 00:51:39,600
Speaker 2: do not do not think this is a good movie.

937
00:51:39,719 --> 00:51:41,360
Speaker 1: They're like, is this even a movie?

938
00:51:41,640 --> 00:51:43,719
Speaker 2: It's just like a real it's like a love letter.

939
00:51:43,920 --> 00:51:45,320
Speaker 1: I mean, like Ronald Reagan.

940
00:51:45,760 --> 00:51:48,279
Speaker 4: Homelanders not even in it. I thought it would be

941
00:51:48,440 --> 00:51:50,600
Speaker 4: like a really cool Quad movie.

942
00:51:51,280 --> 00:51:54,160
Speaker 1: That Yeah, other ones are like Dennis Quad's Reagan is

943
00:51:54,200 --> 00:51:59,680
Speaker 1: the worst movie of the year. Wo Okay heard much

944
00:51:59,760 --> 00:52:03,640
Speaker 1: loose triggered by yeah, I triggered by the homelessness you

945
00:52:03,680 --> 00:52:06,319
Speaker 1: see in the year twenty twenty four. Much draw a

946
00:52:06,360 --> 00:52:08,440
Speaker 1: straight line back to Ronald Reagan.

947
00:52:08,680 --> 00:52:12,080
Speaker 2: Okay, literally, the only audience seeing this movie are old

948
00:52:12,120 --> 00:52:15,279
Speaker 2: white people. Eighty five percent of ticket buyers were over

949
00:52:15,280 --> 00:52:17,840
Speaker 2: the age of thirty five, which is like unprecedented.

950
00:52:18,200 --> 00:52:20,160
Speaker 1: And then the this might be.

951
00:52:20,560 --> 00:52:23,680
Speaker 4: Released it November fifth. That would have been alloy could

952
00:52:23,760 --> 00:52:24,239
Speaker 4: just do that.

953
00:52:24,800 --> 00:52:27,360
Speaker 1: Yeah, just that meme of which button depress to like

954
00:52:27,440 --> 00:52:30,680
Speaker 1: vote for Maga or go see the Gipper movie.

955
00:52:31,120 --> 00:52:33,799
Speaker 2: This might be a new record. Sixty six percent of

956
00:52:33,800 --> 00:52:37,280
Speaker 2: people were over the age of fifty five, Like, that's

957
00:52:37,719 --> 00:52:41,680
Speaker 2: never with a movie before. Eighty percent of the film's

958
00:52:41,800 --> 00:52:43,320
Speaker 2: entire audience was white, which.

959
00:52:43,200 --> 00:52:47,759
Speaker 1: Seems no, no, no, no, no, no, no.

960
00:52:48,520 --> 00:52:52,240
Speaker 2: Yeah, I know we're all pretty surprised. So I think, Miles,

961
00:52:52,280 --> 00:52:54,439
Speaker 2: this is a hit, So we're gonna have to go see.

962
00:52:54,480 --> 00:52:58,120
Speaker 4: It'll be so terrifying to be there. And then you

963
00:52:58,160 --> 00:53:01,360
Speaker 4: look around and it's all old white people and you're like,

964
00:53:02,960 --> 00:53:06,600
Speaker 4: you're like being a very young, like like.

965
00:53:06,680 --> 00:53:09,800
Speaker 3: Black woman remove reviewing the movie, right.

966
00:53:09,719 --> 00:53:15,120
Speaker 1: Right, and everyone's kind of looking at you and pretty good, right,

967
00:53:15,320 --> 00:53:18,240
Speaker 1: I'll get it, right. You seem like a nice person.

968
00:53:18,760 --> 00:53:22,400
Speaker 1: Ye what yeah, I mean like one of the good ones.

969
00:53:23,200 --> 00:53:28,239
Speaker 1: They need their wins where they can get them, you know, yeah, sure, well, hey,

970
00:53:28,239 --> 00:53:31,360
Speaker 1: maybe they'll get it November. You know, who knows, who knows?

971
00:53:31,560 --> 00:53:33,000
Speaker 1: Who knows? Who knows?

972
00:53:32,960 --> 00:53:35,880
Speaker 2: The Sound of Freedom was a legitimate hit. It seems

973
00:53:35,920 --> 00:53:38,040
Speaker 2: like that one made a lot of money.

974
00:53:37,960 --> 00:53:40,640
Speaker 1: Even with the people buying the tickets to get away

975
00:53:40,640 --> 00:53:41,040
Speaker 1: for free.

976
00:53:41,320 --> 00:53:44,600
Speaker 2: Yeah, depending on it. I don't know how many people

977
00:53:44,640 --> 00:53:49,279
Speaker 2: actually saw it, but their donation based marketing strategy.

978
00:53:49,480 --> 00:53:53,360
Speaker 1: Really. I did watch it when we had Sarah Marshall

979
00:53:53,480 --> 00:53:57,400
Speaker 1: on to talk about the her Human Trafficking episode. Yeah,

980
00:53:57,440 --> 00:54:00,400
Speaker 1: and I just remember subjecting myself to them movie and

981
00:54:00,440 --> 00:54:04,160
Speaker 1: being like, oh god, this it's just truly like it's

982
00:54:04,200 --> 00:54:07,719
Speaker 1: like freak out porn for people who don't like foreigners.

983
00:54:07,960 --> 00:54:09,840
Speaker 2: There's new news about that guy that will have to

984
00:54:10,040 --> 00:54:14,439
Speaker 2: update y'all on pretty soon. He seems like not as

985
00:54:14,520 --> 00:54:16,040
Speaker 2: cool as everyone thoughts.

986
00:54:16,120 --> 00:54:17,280
Speaker 1: Sounds like you got an agenda.

987
00:54:17,560 --> 00:54:20,400
Speaker 2: Yeah, he said, that's so smooth.

988
00:54:20,400 --> 00:54:21,000
Speaker 3: It scared me.

989
00:54:22,640 --> 00:54:26,440
Speaker 1: I know, my dead pen is sometimes too believable.

990
00:54:26,520 --> 00:54:29,759
Speaker 2: Sorry, a little too dead in the pan Paula Vi,

991
00:54:29,880 --> 00:54:31,560
Speaker 2: what a pleasure having you as always?

992
00:54:31,719 --> 00:54:31,879
Speaker 1: Yes?

993
00:54:31,880 --> 00:54:35,760
Speaker 2: Where can people find you? Follow you all that good stuff?

994
00:54:35,880 --> 00:54:37,560
Speaker 3: You can find me in the Rigan movie.

995
00:54:37,640 --> 00:54:44,320
Speaker 4: No I play, No, I play the Gipper, his alternative personality.

996
00:54:45,280 --> 00:54:48,040
Speaker 4: I'm at Paulo Viganalan p A ll a b I

997
00:54:48,200 --> 00:54:51,680
Speaker 4: g u n A l a n everywhere. I run

998
00:54:51,719 --> 00:54:56,520
Speaker 4: that monthly show at the comedy store called Facial Recognition Comedy.

999
00:54:56,600 --> 00:55:00,600
Speaker 4: Our next one is September twentieth at tenth thirty pm.

1000
00:55:00,680 --> 00:55:04,480
Speaker 3: Please come through. It's gonna be an inverse Reagan movie.

1001
00:55:04,520 --> 00:55:09,920
Speaker 4: It's gonna be a lot of brown people, Okay, So

1002
00:55:10,000 --> 00:55:13,040
Speaker 4: come through and get tickets at the comedy store.

1003
00:55:13,080 --> 00:55:15,960
Speaker 3: It's the belly Room Show. It's gonna be really fun, awesome.

1004
00:55:16,040 --> 00:55:18,600
Speaker 2: And is there a work of media that you've been

1005
00:55:18,680 --> 00:55:20,720
Speaker 2: enjoying besides the Reagan movie.

1006
00:55:21,160 --> 00:55:25,520
Speaker 3: No, have you guys been watching the Paralympics.

1007
00:55:26,360 --> 00:55:29,280
Speaker 1: Yeah, it's so cool. I love like all those swimming

1008
00:55:29,480 --> 00:55:30,520
Speaker 1: was wid.

1009
00:55:30,640 --> 00:55:34,000
Speaker 3: This okay, I it was insane.

1010
00:55:34,120 --> 00:55:36,200
Speaker 4: There was the guy who had no arms who was

1011
00:55:36,280 --> 00:55:41,200
Speaker 4: like yeah, and he like had to hit the the

1012
00:55:41,360 --> 00:55:44,279
Speaker 4: end of the pool with and like he would have

1013
00:55:44,400 --> 00:55:47,680
Speaker 4: won if he had all he was so far ahead.

1014
00:55:47,760 --> 00:55:48,920
Speaker 3: It's like not fair.

1015
00:55:49,400 --> 00:55:52,279
Speaker 1: Yeah, it's wild to see. That's what I'm like. That

1016
00:55:52,560 --> 00:55:54,560
Speaker 1: as I learned more about how they break things down

1017
00:55:54,640 --> 00:55:58,120
Speaker 1: birth based on like disabilities too, I was like, shouldn't

1018
00:55:58,160 --> 00:56:03,040
Speaker 1: he maybe knock themute against somebody who could like lengthen

1019
00:56:03,080 --> 00:56:06,160
Speaker 1: his body. But then the other guy I think was

1020
00:56:06,200 --> 00:56:08,440
Speaker 1: like had his legs amputated, so maybe he didn't have

1021
00:56:08,480 --> 00:56:09,480
Speaker 1: the same kicking powers.

1022
00:56:09,600 --> 00:56:11,640
Speaker 4: Yeah I shouldn't they like rate it different, but that

1023
00:56:11,719 --> 00:56:14,360
Speaker 4: it was just like so fucking impressive to watch him,

1024
00:56:14,440 --> 00:56:16,640
Speaker 4: just like how fast he could go without arms, and

1025
00:56:16,640 --> 00:56:20,839
Speaker 4: the archer well who didn't have arms from India, who

1026
00:56:20,920 --> 00:56:23,080
Speaker 4: like shot it was so I don't know, it was

1027
00:56:23,160 --> 00:56:25,239
Speaker 4: just like so cool to see and I'm like I'm

1028
00:56:25,239 --> 00:56:29,240
Speaker 4: sitting on my couch like god, damn, this is crazy.

1029
00:56:29,280 --> 00:56:31,640
Speaker 1: It does kind of make the regular Olympics just look

1030
00:56:31,719 --> 00:56:35,040
Speaker 1: like shit, Yo, hold on, bro, are you saying what

1031
00:56:35,200 --> 00:56:36,240
Speaker 1: these people are doing?

1032
00:56:36,320 --> 00:56:37,240
Speaker 4: Now? Yeah?

1033
00:56:37,520 --> 00:56:38,160
Speaker 3: It's crazy.

1034
00:56:38,360 --> 00:56:40,960
Speaker 4: Also, like I do think it's like like there are

1035
00:56:41,040 --> 00:56:43,120
Speaker 4: runners who are like blind and so they have like

1036
00:56:43,200 --> 00:56:46,279
Speaker 4: runners with them. Yeah, like so both of you have

1037
00:56:46,400 --> 00:56:49,760
Speaker 4: to be like in like first position for the person

1038
00:56:49,800 --> 00:56:51,960
Speaker 4: to win. Like that's crazy, Like you have to have

1039
00:56:52,120 --> 00:56:53,960
Speaker 4: it's like a relay, but you're both running at the

1040
00:56:53,960 --> 00:56:54,560
Speaker 4: same time.

1041
00:56:55,000 --> 00:56:58,840
Speaker 1: Yeah, it's wild awesome. Miles. Where can people find you

1042
00:56:58,880 --> 00:57:01,920
Speaker 1: as their working media you've been enjoy Uh find me

1043
00:57:02,239 --> 00:57:05,680
Speaker 1: on Twitter and Instagram and the like wherever they have

1044
00:57:05,680 --> 00:57:07,759
Speaker 1: the at symbols at Miles of Gray. You can find

1045
00:57:07,840 --> 00:57:10,160
Speaker 1: Jack and I on the Basketball podcast and I was

1046
00:57:10,160 --> 00:57:13,440
Speaker 1: a Joustie. You can find me talking ninety dance on

1047
00:57:13,520 --> 00:57:16,640
Speaker 1: four twenty fiance. Check me out on Scam Goddess. I

1048
00:57:16,680 --> 00:57:18,200
Speaker 1: was on a recent episode. I was also on a

1049
00:57:18,200 --> 00:57:21,880
Speaker 1: recent episode of Black People Love Paramore, So you can

1050
00:57:21,960 --> 00:57:24,240
Speaker 1: there's many ways to hear me talk about things that

1051
00:57:24,280 --> 00:57:27,280
Speaker 1: aren't so news centric. Some tweets I like, man, I

1052
00:57:27,280 --> 00:57:29,080
Speaker 1: got a few funny tweets. It was a good it

1053
00:57:29,120 --> 00:57:31,840
Speaker 1: was a good weekend for me. Not finding things that

1054
00:57:32,520 --> 00:57:36,400
Speaker 1: just made my spirit die because I got so cynical

1055
00:57:36,480 --> 00:57:39,680
Speaker 1: and I laughed at some funny things. Uh laugh ye.

1056
00:57:40,880 --> 00:57:45,640
Speaker 1: Past guest Mohanad al Shiki at mohanaed Alshiki tweeted, I

1057
00:57:45,680 --> 00:57:48,120
Speaker 1: love when someone is like, I'm funny because I have

1058
00:57:48,240 --> 00:57:51,480
Speaker 1: trauma and it's a coping mechanism and it's like, okay,

1059
00:57:51,560 --> 00:57:54,000
Speaker 1: not to add to your trauma, but you're not funny,

1060
00:57:55,920 --> 00:57:59,120
Speaker 1: so fucking wildly, just think about that shit. Another one

1061
00:57:59,280 --> 00:58:02,439
Speaker 1: at Jay unders Or Cooper tweeted, got so drunk last

1062
00:58:02,520 --> 00:58:09,080
Speaker 1: night I messaged the ting tings on instagrams. I haven't

1063
00:58:09,160 --> 00:58:12,200
Speaker 1: thought about them for so long. That's not my name.

1064
00:58:13,120 --> 00:58:17,479
Speaker 1: And then also big Boy from Outcast at big Boy tweeted, Hey, hey,

1065
00:58:17,600 --> 00:58:20,160
Speaker 1: we're on the tour bus in Keli, right. We stopped

1066
00:58:20,160 --> 00:58:23,560
Speaker 1: for breakfast. Why this lady asks, Sleepy Brown are y'all

1067
00:58:23,640 --> 00:58:30,440
Speaker 1: migrants being dropped off? Oh my god? What? Wow? You

1068
00:58:30,640 --> 00:58:36,360
Speaker 1: see the Dungeon family and you're like, what the fuck off?

1069
00:58:41,040 --> 00:58:45,040
Speaker 1: Sleepy Brown looks like like an Isaac Hayes, like parallel

1070
00:58:45,120 --> 00:58:46,360
Speaker 1: universe Isaac Hayes.

1071
00:58:47,000 --> 00:58:52,000
Speaker 2: Uh yeah, anyway, fun big big bus presumably, so yeah,

1072
00:58:52,040 --> 00:58:56,720
Speaker 2: she's making some assumptions tweets. I've been enjoying at you

1073
00:58:56,720 --> 00:59:01,280
Speaker 2: wouldn't post tweeted a picture of a man Brothers from

1074
00:59:01,520 --> 00:59:03,760
Speaker 2: towards the end of The Shining when he arrives on

1075
00:59:03,800 --> 00:59:08,240
Speaker 2: a flight and says the original flight raw dogger because

1076
00:59:09,320 --> 00:59:11,960
Speaker 2: I always remember that that he was just staring straight

1077
00:59:12,000 --> 00:59:16,080
Speaker 2: ahead on the whole flight, just like, Yeah, that's how

1078
00:59:16,400 --> 00:59:20,040
Speaker 2: I do it. And then Shell at Shell Arena Underscore tweeted,

1079
00:59:20,080 --> 00:59:23,040
Speaker 2: Hey stupid, I'll see you in court the food court.

1080
00:59:23,200 --> 00:59:23,800
Speaker 1: We are friend.

1081
00:59:26,760 --> 00:59:29,880
Speaker 2: You can find me on Twitter at Jack Underscore. O'Brien,

1082
00:59:29,920 --> 00:59:32,320
Speaker 2: you can find us on Twitter at Daily Zeitgeist. We're

1083
00:59:32,360 --> 00:59:34,960
Speaker 2: at the Daily Zeitgeist on Instagram. We have a Facebook

1084
00:59:35,000 --> 00:59:38,080
Speaker 2: fan page and a website, Daily Zeitgeist dot com, where

1085
00:59:38,120 --> 00:59:41,000
Speaker 2: we post our episodes and our foot notes. No loick

1086
00:59:41,040 --> 00:59:43,680
Speaker 2: off to the information that we talked about in today's episode,

1087
00:59:43,840 --> 00:59:46,200
Speaker 2: as well as a song that we think you might enjoy.

1088
00:59:46,600 --> 00:59:48,440
Speaker 1: Miles, what song do you think people might enjoy it?

1089
00:59:48,880 --> 00:59:52,720
Speaker 1: I was listening to this again. I love music that

1090
00:59:52,880 --> 00:59:55,800
Speaker 1: I thought was from yesteryear, and it turns out it's

1091
00:59:55,800 --> 00:59:58,320
Speaker 1: just some guy who's younger than me from Huntington Beach

1092
00:59:58,800 --> 01:00:02,000
Speaker 1: and this track is I was listening to it, I'm like,

1093
01:00:02,080 --> 01:00:05,640
Speaker 1: is this like an Eric Burden or like Van Morrison track?

1094
01:00:05,680 --> 01:00:12,840
Speaker 1: I've never heard? Is this these? And I was like

1095
01:00:12,920 --> 01:00:15,880
Speaker 1: really curious because it's clearly recorded on tape and the

1096
01:00:15,960 --> 01:00:19,360
Speaker 1: microphones are all like of that period. And it turned

1097
01:00:19,400 --> 01:00:22,400
Speaker 1: out it's an artist called Nick Waterhouse, who I was

1098
01:00:22,440 --> 01:00:24,760
Speaker 1: not familiar with and I'm getting much more familiar with.

1099
01:00:24,840 --> 01:00:30,000
Speaker 1: And it's called Song for Winners by Nick. Yeah, oh

1100
01:00:30,120 --> 01:00:33,760
Speaker 1: my god, a lot familiar. Do you guys want to

1101
01:00:33,760 --> 01:00:35,240
Speaker 1: go to his show? He's gonna be playing at the

1102
01:00:35,240 --> 01:00:36,840
Speaker 1: Echo later and he said he can get me on

1103
01:00:36,840 --> 01:00:38,400
Speaker 1: the list. I don't know, like I think, I don't know.

1104
01:00:38,440 --> 01:00:40,440
Speaker 1: He says, like we're just talking, but I feel like

1105
01:00:40,600 --> 01:00:42,560
Speaker 1: I feel like there's more going on. But anyway, it's

1106
01:00:42,560 --> 01:00:45,200
Speaker 1: called Song for Winners Nick Waterhouse. If you like, you know,

1107
01:00:45,720 --> 01:00:48,720
Speaker 1: like I said, you Van Morrison, Eric Burden, you know,

1108
01:00:48,760 --> 01:00:51,280
Speaker 1: Wilson Pickett kind of stuff. This His voice is super

1109
01:00:51,360 --> 01:00:53,760
Speaker 1: raspy and interesting. So Nick Waterhouse Song.

1110
01:00:53,680 --> 01:00:56,920
Speaker 2: For Winners also does a great job securing those Oscar

1111
01:00:57,240 --> 01:01:00,720
Speaker 2: ballots from yep of Waterhouse our house Cooper.

1112
01:01:01,480 --> 01:01:04,320
Speaker 4: I love coming on here and like listening to you guys.

1113
01:01:04,400 --> 01:01:06,680
Speaker 4: Luggy songs because I never know what you're talking about,

1114
01:01:06,760 --> 01:01:09,080
Speaker 4: so like Nick Waterhouse Cooper just sounds like a law

1115
01:01:09,120 --> 01:01:10,320
Speaker 4: firm to me, and I need.

1116
01:01:12,560 --> 01:01:14,840
Speaker 2: All right, We will link off to that song in

1117
01:01:14,880 --> 01:01:16,720
Speaker 2: the footnotes for Daily I Guess is.

1118
01:01:16,640 --> 01:01:17,800
Speaker 1: The production of iHeartRadio.

1119
01:01:17,800 --> 01:01:21,560
Speaker 2: For more podcasts from iHeartRadio, visits the iHeartRadio app, Apple podcast,

1120
01:01:21,960 --> 01:01:23,920
Speaker 2: or wherever you listen to your favorite shows. That's going

1121
01:01:24,000 --> 01:01:26,480
Speaker 2: to do it for us this morning, back this afternoon

1122
01:01:26,520 --> 01:01:28,400
Speaker 2: to tell you what is trendy, and we will talk

1123
01:01:28,400 --> 01:01:28,840
Speaker 2: to you all then.

1124
01:01:29,000 --> 01:01:33,240
Speaker 1: Bye bye,