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Speaker 1: Have you been do you play? Did you play? Do

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Speaker 1: you play? Skate More a.

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Speaker 2: Little bit, I was more ashamedly. I was more of

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Speaker 2: a Tony Hawk guy because I know that Skate is

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Speaker 2: like the more physically accurate version.

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Speaker 1: Yeah yeah, yeah, yeah yeah, you need that celebrity appeal.

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Speaker 1: But did you see have you seen the gameplay from

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Speaker 1: the skate?

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Speaker 3: No?

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Speaker 1: Is it crazy? Dude?

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Speaker 3: It's like not even like you're just like jumping off,

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Speaker 3: like you're dropping in off like skyscrapers, and then you

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Speaker 3: could just like fucking body glide through the air, deploy

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Speaker 3: a parachute, drop into a roof top pool trains.

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Speaker 1: What's that is for the new one? Which was the

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Speaker 1: new one? Yeah, but it's free to play. It's just

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Speaker 1: like so crazy.

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Speaker 2: Really, so it's it's almost starting to get into Tony

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Speaker 2: Hawk terractory then, because I was thinking about Tony Hawk

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Speaker 2: was just so fucking insane.

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Speaker 1: No, but this is truly like, oh, we're flying.

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Speaker 4: We're saying insane and like you're you're describing the stuff.

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Speaker 4: It's you're you're saying it's bad because that sounds scary

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Speaker 4: to he has a.

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Speaker 3: It's just more like you just hear it, like like

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Speaker 3: just look at this clip just like just to have

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Speaker 3: an idea of like because it's not really rooted in reality.

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Speaker 3: I mean neither was Tony Hawk really, but this is

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Speaker 3: just going like another level.

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Speaker 1: I don't know, Tony Hawk wasn't rooted in reality for you.

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Speaker 4: This is this is unrealistic to you.

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Speaker 1: You gotta see the shred Man.

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Speaker 2: It's very funny.

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Speaker 4: And I also do get faster when I skateboard over arrows.

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Speaker 4: My I pick up kinetic energy somehow it's for me.

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Speaker 2: Yeah, that's why they put them at all tho skate parks.

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Speaker 2: But I think it's also interesting that they brought you

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Speaker 2: from like normal Earth physics over time to making you fly,

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Speaker 2: because that probably feels crazier that just to be like

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Speaker 2: here you could do triple backflips, but to start as

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Speaker 2: like a ledge skater and then to be able to

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Speaker 2: fly off of skyscrapers.

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Speaker 4: Right, because like Mad in another like sport video game

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Speaker 4: has gotten more realistic as it's gone where it's like

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Speaker 4: now you have to like really coordinated to throw a

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Speaker 4: football just like in real life.

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Speaker 1: Oh yeah, then this of the chosen receiver like in

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Speaker 1: ninety two when I was playing Madden, when I run

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Speaker 1: ad When I was a wee boy, Madden was just

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Speaker 1: like you just hit the fucking spin button and broke tackles,

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Speaker 1: and like that's always happens.

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Speaker 3: It's like the same way when like two K's changed

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Speaker 3: their like free throw mechanics system, people like I can't

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Speaker 3: do this shit anymore, man, I don't fucking really be

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Speaker 3: this coordinated.

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Speaker 1: I need a fantasy game.

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Speaker 4: Is there skating game that is like hyper realistic where

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Speaker 4: you have to like practice for eight hours a day

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Speaker 4: to just like be able to like do an ali Well,

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Speaker 4: skate was more like that. That was that was the

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Speaker 4: original version. And then but there was a game you

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Speaker 4: twisted an ankle?

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Speaker 1: Yeah are you old?

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Speaker 2: Yeah, your dad's distant and weird leave the house.

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Speaker 1: You nut tapped yourself.

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Speaker 4: Oh, hello the Internet, and welcome to season four oh nine,

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Speaker 4: Episode three of Dirt Daily.

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Speaker 2: Hi guys, it's.

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Speaker 4: A production of iHeartRadio as a podcast where we take

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Speaker 4: a deep dive into America's share consciousness. And it's Wednesday,

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Speaker 4: October eighth, twenty twenty five.

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Speaker 1: Ten eight.

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Speaker 3: Good buddy, I'm going to keep doing that, keep doing

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Speaker 3: I have had past years where every ten something I

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Speaker 3: did that, and I think it was great.

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Speaker 1: I think I think we should keep it at last.

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Speaker 1: Long may that tradition last in this house.

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Speaker 3: We believe every day in October is a ten Good

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Speaker 3: budd It'd be like ten thirty good buddy, thirty one.

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Speaker 3: It's not even the Halloween ten thirty one good budd.

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Speaker 3: I'm just going to keep adding. It will be November first,

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Speaker 3: Happy ten thirty two to you, my man. But anyway,

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Speaker 3: it's American.

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Speaker 1: Touch Tag Day.

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Speaker 3: That's clearly written from an outside perspective because we just call.

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Speaker 1: That shit tag here. Okay, touch, So yeah, not national this.

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Speaker 3: It was like a New England thing, the fluffer nutter

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Speaker 3: that wasn't really a West Coast thing, or at least

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Speaker 3: the thing.

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Speaker 4: We had a lot that was pretty common in the

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Speaker 4: Midwest as well. Yeah, East coast Midwest makes sense. Peanut

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Speaker 4: butter sandwich with with marshmallow spread.

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Speaker 3: YEA National Hero Day. No, we're not talking about sandwich.

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Speaker 3: We're talking about people like firefighters, you know, real heroes.

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Speaker 3: National Curves Day, National take your Parents to Lunch Day,

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Speaker 3: Take your parents to lunch, National bring your teddy bear

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Speaker 3: to work or school Day, National Stop Bullying Day, National

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Speaker 3: Emergency Nurses Day, shot everybody in the er we.

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Speaker 4: Need Curves Day made me gave me the who are

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Speaker 4: we talking? Who made National Curves Day? And is it

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Speaker 4: the types of guys who do the the hour glass

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Speaker 4: figure with their hands?

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Speaker 1: It's a creative director of some brand. Okay, cool, Yeah,

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Speaker 1: but it's just about.

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Speaker 3: Being like, hey, man shot all the plus sized people

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Speaker 3: out there, keeping this sexy.

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Speaker 1: Yeah, yeah, just like curves.

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Speaker 4: I think it was No, I don't, I don't know.

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Speaker 4: Just like I people to it as curves.

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Speaker 3: That's a very I mean out here, Jack, we call

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Speaker 3: them curved baby, Okay, curved like.

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Speaker 1: Curves like a cola bottle.

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Speaker 3: You got curves like a mountain road, you know, curves

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Speaker 3: like a like a like a damn protractor went crazy

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Speaker 3: or a compass.

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Speaker 4: Rather, what's the one that was a good one? You

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Speaker 4: use that one a lot. Yeah, curves like a dang

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Speaker 4: protractor color.

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Speaker 1: What's the one? What's the one that does the circles?

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Speaker 3: Hey?

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Speaker 1: Where you go? Where you going?

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Speaker 3: You?

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Speaker 4: My name's Jack O'Brien, ak potatoes O'Brien. I got curves

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Speaker 4: like a potato, just kind of lumpy and like seemingly haphazard.

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Speaker 1: Hey, I'm looking at him.

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Speaker 4: Like in random directions you know, like routed body, the

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Speaker 4: most haphazardly shaped vegetable. And I'm thrilled to be joined

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Speaker 4: as always by my co host, mister Miles.

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Speaker 3: Grass, the showgun within Nogun, the Lord of lankersh just

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Speaker 3: again in the nation's capital, taking it all in and

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Speaker 3: it's wonderful. The weather's great. I gotta say, I wish

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Speaker 3: it was colder at night, being on the East Coast.

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Speaker 1: My my hope was for a little bit of cold,

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Speaker 1: but it's yeah, this is what you same as weather,

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Speaker 1: So what do you know for real?

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Speaker 4: Yeah, I've been hearing that from from everywhere. It's a

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Speaker 4: it's a warm October.

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Speaker 1: Something about the earth or something being fucked or something.

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Speaker 1: I don't know.

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Speaker 2: Yeah, I stopped listening right after this.

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Speaker 1: It's warm.

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Speaker 4: Miles were thrilled to be joined by a very funny comedian, actor, writer,

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Speaker 4: improviser you know from Mythic Quest and Drunk History, the

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Speaker 4: co host of the very funny podcast rebrand His special

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Speaker 4: Spiritually Filthy is very funny.

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Speaker 1: You ought to go check it out.

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Speaker 4: Welcome back to the show, our skateboarding correspondent.

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Speaker 2: What's up, my dude. It's good to see you get

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Speaker 2: something man. Thanks for having me bros.

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Speaker 1: Oh, of course, of course it's good to have you.

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Speaker 1: Good to have shred shred and some gnar. No, that's

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Speaker 1: not right. I think I don't think different some culture.

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Speaker 1: Yeah not that did my best.

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Speaker 2: Yeah, you could tell it wasn't great because it felt

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Speaker 2: weird when you said it.

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Speaker 1: That's how I yeah, yeah, yeah, I was like swallowing

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Speaker 1: it as it was escaping my mouth.

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Speaker 2: Yeah, you got confidence is key with any skate slang.

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Speaker 2: I don't think I could just pull up to a

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Speaker 2: skate park and say that and then like immediately start

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Speaker 2: running and be accepted as one of them. I'm picturing

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Speaker 2: you doing that in full pads and you fall.

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Speaker 1: Down quick wrist race.

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Speaker 3: You've got to go pro chest rig on, full gym,

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Speaker 3: teacher bike shorts for some reason.

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Speaker 2: Yeah, full red red bull logo uh one for some reason.

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Speaker 1: Yeah yeah, yeah, exactly, full fully kitted out. Have you

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Speaker 1: do you ever? Do kids like to skate? Are they're

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Speaker 1: on Are they on bikes?

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Speaker 2: Jack? What are they?

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Speaker 1: What kind of mobility are they gonna do? They are?

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Speaker 4: My seven year old is into skating. He did, He

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Speaker 4: does go to the occasional skate park and it's mainly

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Speaker 4: a lessons based activity because he has a bad dad

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Speaker 4: when it comes to skateboarding, as as you might have

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Speaker 4: noticed from me, should be his dad.

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Speaker 2: I for sure thought you're gonna say instructor not dad.

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Speaker 3: No, Jack identified the problem. So we're gonna let's nip

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Speaker 3: this thing in the butt. So Mark, you can be.

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Speaker 4: At the Russell Wilson to my future, playing catch with

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Speaker 4: my kids while I'm a text a text fuck boyshit

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Speaker 4: to my ex. Yeah yeah, uh more. We're thrilled to

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Speaker 4: have you here. We're gonna get to know you a

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Speaker 4: little bit better in a moment.

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Speaker 1: First, we're gonna tell.

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Speaker 4: The listeners a couple of things that we're talking about.

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Speaker 4: We're gonna start off talking about another radical dude teenage

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Speaker 4: and and your garbles. He's I don't know, just the

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Speaker 4: more he becomes the face of this movement, I think

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Speaker 4: the better off we all are.

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Speaker 1: Not a charismatic leader. You're not a charismatic exactly off

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Speaker 1: the poting toad man. That's right.

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Speaker 2: It looks like he smells weird.

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Speaker 1: Oh yeah, oh yeah yeah with his new because he's

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Speaker 1: like going like he's bicking his bald head. Now it

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Speaker 1: looks like frogs.

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Speaker 3: It looks like amphibious skin, like the sheen to it

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Speaker 3: where it's like, oh, this is always kind of moist.

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Speaker 4: Huh right, So that we're going to talk about that

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Speaker 4: because they're just like, I don't know, they they don't

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Speaker 4: quite know how to use him on Fox News. So

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Speaker 4: they're like, here and let's get your live reaction just

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Speaker 4: like riff one out about this thing where AOC like

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Speaker 4: talks shit about you.

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Speaker 1: Let's see, let's see what you can can come back

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Speaker 1: with that one. Huh Yeah, it's not great.

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Speaker 4: He's not like simmering rage mixed with like weird misdirected

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Speaker 4: energy happening in all sorts of improving.

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Speaker 3: AOC's point, because he was just basically saying, it's like,

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Speaker 3: you know, the first thing I do is like make

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Speaker 3: fun of these thin skinned, insecure, like this spragile masculinity

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Speaker 3: that dominates this party, like really product that as part

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Speaker 3: of the sort of menu of options we have.

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Speaker 4: Is the only thing that happens to him is like

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Speaker 4: mouth gets really wet. It all just like we starts twitching.

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Speaker 2: There. We were there was superiorally hitting on something. We

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Speaker 2: were like just call them weird because they're weird, and

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Speaker 2: the thing is is that there's nothing wrong with being weird,

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Speaker 2: but they're all convinced they can't possibly be weird. Yeah,

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Speaker 2: it's like the ultimate insult to them, right, yeah.

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Speaker 3: Exactly, because they aren't self actualized enough to own. It's

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Speaker 3: like when you get past weird being a negative, it's

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Speaker 3: because you've you're like, yeah, this is who I am nothing.

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Speaker 1: Okay, sure, Like that's what you say because it's different.

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Speaker 3: To you, Whereas these people are still caught in like

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Speaker 3: the group think of like who's in the majority, who's weird,

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Speaker 3: who's not weird?

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Speaker 2: Yeah, dude, just go on the internet and find other

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Speaker 2: adult men who are like horny for Gi Joe's and

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Speaker 2: you could be something so angry.

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Speaker 1: Yeah I'm not alone.

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Speaker 4: We'll talk about that. We'll talk about the Supreme Court

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Speaker 4: case on conversion therapy, whether algorithms are ruining hip hop.

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Speaker 4: There's gonna be the closest we've ever gotten to. We're

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Speaker 4: really courting the old head vote in this one.

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Speaker 1: I feel like.

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Speaker 4: We're going to talk about I had really checked in

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Speaker 4: with the Free Press, which, to you know, as we

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Speaker 4: talked about earlier this week, just got purchased for one

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Speaker 4: hundred and fifty million dollars and Barry White like took

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Speaker 4: over as the head of CBS News, and I just

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Speaker 4: wanted to check out like a story. And we've also

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Speaker 4: been talking about Tilly Norwood, the fake actress who's like

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Speaker 4: getting fake from Hollywood, has Hollywood a buzz, and they

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Speaker 4: had a story about that that I just want to

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Speaker 4: I just want to read you the headline in the

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Speaker 4: subhead just one sentence, because yeah, I don't want to

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Speaker 4: go into it now, but like just it is one

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Speaker 4: of the wildest things that I've seen in airtime covering

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Speaker 4: the show.

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Speaker 1: So just a little bit of a tease there for you.

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Speaker 4: All of that plenty more. But first, mort Burke, we

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Speaker 4: do like to ask our guest, what is something from

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Speaker 4: your search history that's revealing about who you are?

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Speaker 1: Guys?

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Speaker 2: The last thing I googled was a synonym for masterpiece

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Speaker 2: to describe the new stand up special that I'm putting out.

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Speaker 2: And that's because I don't know if you guys have noticed,

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Speaker 2: but I think you have. It's not easy out here

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Speaker 2: for us artists, and it's time for us to start

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Speaker 2: tooting our own our horns. You should just ask GBT

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Speaker 2: to come up with a synonym for masterpiece? Is that

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Speaker 2: the move almost I can find was master work. I'm

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Speaker 2: gonna ask, I'm gonna ask what's her name? Tilly?

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Speaker 3: I would ask, Yeah, ask chat gpt to give you

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Speaker 3: a masterpiece stand up set that you can just regurgitate

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Speaker 3: on stage.

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Speaker 4: Has anyone done the version of like remember a soul

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Speaker 4: Man where a white guy does blackface to like get

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Speaker 4: into college? I think is that the premise of that.

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Speaker 4: Has anyone done that where like somebody pretends to be

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Speaker 4: Ai to like get the interest of Hollywood, like a

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Speaker 4: movie where it's.

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Speaker 3: Like you're you're thinking of like that's an a twenty

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Speaker 3: four comedy. Think that's yeah, that's ahead of it, that

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Speaker 3: ideas ahead of its time. Yeah, I can say you

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Speaker 3: should do that because like that really like what if

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Speaker 3: Tilly Norwood was just like a nineteen year old actress

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Speaker 3: like that?

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Speaker 1: Nobody would know the difference, right, Yeah?

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Speaker 2: Yeah, that feels like Carmen Christopher and Paul Rudder going

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Speaker 2: to be in that.

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Speaker 1: Yeah.

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Speaker 4: But I'm just saying more, maybe you put this out

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Speaker 4: as like an all Ai special.

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Speaker 3: I mean it's the same version as like white people

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Speaker 3: changing their names to be ethnic to try and get

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Speaker 3: interest too, like fur their away and they'd.

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Speaker 1: Be like, well, you know, I got this. Maybe things

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Speaker 1: aren't working when I was this white person, but how

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Speaker 1: about this.

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Speaker 3: Yeah maybe if I'm an AI actress, that'll get me

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Speaker 3: some work.

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Speaker 2: That movie plot is very That is such an eighties

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Speaker 2: movie where like the entire ze Zeitgeist was all about

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Speaker 2: like it was all eighties person pretended to be a

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Speaker 2: different person. Yeah, I mean like the white actor that

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Speaker 2: you had put on brown face for short circuit.

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Speaker 4: No no, no, no, Like inside the movie, I thin, what's

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Speaker 4: what's the guy's name?

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Speaker 3: I forget he's got that fun name that's like so eighties.

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Speaker 3: Uh yeah, damn it, Johnny five guy, you'd bitch come

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Speaker 3: on now.

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Speaker 1: Uh it's almost there. Fisher Stevens. Fisher Stevens, Yeah yeah,

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Speaker 1: Fisher Stevens. Yeah that was.

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Speaker 3: I remember being shook when I was like, this guy

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Speaker 3: isn't Indian or just like South Asian?

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Speaker 1: Like what? But how was I thought Benja Betuya was

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Speaker 1: a real guy.

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Speaker 2: It was when I found out Damon Wayne's wasn't.

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Speaker 3: Kay Waite Edwards and Anton Merriweather aren't real.

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Speaker 4: But anyways, just a pitch you put put yourself out

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Speaker 4: as Ai, which people were actually doing like they were like,

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Speaker 4: look at what look at this h Ai version of

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Speaker 4: a Carlin stand up special. And it was clearly just

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Speaker 4: like written by people, because it was way better than

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Speaker 4: anything Ai has done since then.

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Speaker 1: And it sucked.

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Speaker 4: I will say it's sucked, but not not as bad

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Speaker 4: as hey I does more. Sorry, what tell us about

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Speaker 4: your special? Hearing is a master stroke, a magnum opus.

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Speaker 2: It's a master work. Yeah, I'm just working on it.

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Speaker 2: I recorded at the lyric I Pieri and I'm gonna

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Speaker 2: put it out in a couple of months. I'm very

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Speaker 2: excited about it. I also want to be I want

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Speaker 2: to be the first person to actively stock Tilly Norwood.

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Speaker 1: Uh you mad? You are actually late. As we're going

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Speaker 1: to get to later in this story. Alright, later in

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Speaker 1: this episode, come up with something original. Man, there's already

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Speaker 1: a ton of t r Yeah, all right, fair real quick.

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Speaker 1: More Top three jokes from your special.

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Speaker 2: Go Number one, I've never farted. That's a twenty minute bit.

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Speaker 1: I just like that as a joke. I never farted

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Speaker 1: twenty minute bit? Else?

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Speaker 2: Yeah, number two, what's up with chicks these days? They're

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Speaker 2: different than guys. That's a huh. That's like a twelve

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Speaker 2: minute piece.

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Speaker 1: Have you ever noticed that they really are different? Yeah?

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Speaker 1: I find them to be different in many in many

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Speaker 1: compelling ways.

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Speaker 2: Yeah, totally.

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Speaker 1: There's a lot of this way. Yeah, they go about

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Speaker 1: it this way. Yeah.

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Speaker 2: And I can't believe that they replaced straws with paper straws.

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Speaker 2: So that's a that's another like fifteen deal.

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Speaker 1: What is it to deal with that?

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Speaker 2: Yeah?

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Speaker 1: Yeah, yeah, these things stink.

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Speaker 2: I came up with this word. I invented this word. Uh,

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Speaker 2: this word woke.

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Speaker 1: That's sort of what I'm oh, great original usage. Yeah,

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Speaker 1: sounds fucking good man. Yeah, that's part of your terry

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Speaker 1: Shaivo block us Christ. What is something you think is underrated?

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Speaker 2: Underrated? I'm going RuPaul's drag Race, and I'll say that

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Speaker 2: so my the starts with my wife is really trying

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Speaker 2: to make me buy and it's working, and I've never

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Speaker 2: been happier. It started with the it started with the

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Speaker 2: bidet obviously, which was so great. And now, so first

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Speaker 2: of all, RuPaul's drag Race, you're basically doing anti fascism

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Speaker 2: work work just watching this thing. Now with the way

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Speaker 2: the country is, I treat it like a Falcons game

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Speaker 2: where I'm like what do you mean miss Vangie's didn't

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Speaker 2: win that lipstick? Get your eyes checked, my sel visage like.

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Speaker 1: Shit like that.

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Speaker 2: It's it's so great.

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Speaker 1: You shat you Sashet away?

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Speaker 2: Yeah, yeah, exactly, yeah.

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Speaker 1: Fuck gotta here, Sachet you stay bullshit?

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Speaker 2: What do you mean? I was a meaty tuck.

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Speaker 1: Media tuck.

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Speaker 2: That's other than it has their I've watched well, first

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Speaker 2: of all, big surprise, I've watched ten seasons of ten seasons,

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Speaker 2: still attracted to women. Isn't that weird?

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Speaker 3: I get?

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Speaker 2: I don't know, it's I guess they might be wrong

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Speaker 2: about how they're trying to make us all be gay.

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Speaker 3: See, that's how you're not gonna end up on Jesse

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Speaker 3: Waters show. See he wanted somebody going back and it.

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Speaker 1: Messed me up. Jesse, I don't even know, man.

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Speaker 2: Yeah, but there the culture of the thing, there's, first

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Speaker 2: of all, it's so funny. It's like the socioeconomics of

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Speaker 2: it all is all over the app So there's like

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Speaker 2: really like what would you say, there's really there's a

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Speaker 2: lot of like poverty, and then there's a lot of

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Speaker 2: queens who come from like more privileged backgrounds. So the

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Speaker 2: jokes are all like, there's so many jokes about sex

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Speaker 2: work it's unbelievable. Like the amount of times they just

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Speaker 2: talk about hooking and shit is so it's so funny

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Speaker 2: and there the culture is insane. There's and there's like

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Speaker 2: RuPaul's kind of old, right, so she's like a little corny,

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Speaker 2: but she's still making fisting jokes and stuff. So it's, yeah,

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Speaker 2: I've never seen anything.

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Speaker 3: Just because she's a land owning oligarch now doesn't mean

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Speaker 3: she lost her you know.

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Speaker 2: Yeah, that's right. There's a clear hierarchy to which is uh,

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Speaker 2: you know, it just goes to show everybody's gonna end

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Speaker 2: up adopting the Western hierarchical shit no matter who you are.

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Speaker 1: Yeah. Yeah, what's something you think is overrated?

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Speaker 2: The movie Shawshank Redemption, Oh oh oh.

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Speaker 3: Tax like bringing up all kinds of supporting documents. I think, okay,

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Speaker 3: what's your opening gambit here?

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Speaker 1: Ask?

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Speaker 2: First of all, I like any any bit that is

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Speaker 2: twenty years old, twenty years too late. I think that's

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Speaker 2: a powerful move. But I look, man, Okay, it's a

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Speaker 2: well made film, sure, And also, of course it does

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Speaker 2: kind of feed into the white male oppression fantasy that's

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Speaker 2: so popular these days. But what's hilarious about it to

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Speaker 2: me is there that there's that scene with Morgan Freeman

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Speaker 2: where he Andy Dufran goes and he wants to get

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Speaker 2: the Rita Hayworth poster and it's in the cinema, you know,

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Speaker 2: and it's supposed to be this like very heartwarming exchange

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Speaker 2: between two old friends. But clearly Morgan Freeman has to

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Speaker 2: think that Tim Robbins character is going to jack off

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Speaker 2: to that poster.

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Speaker 1: Right, you know what need to doing? They didn't.

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Speaker 4: They didn't show that part right, But the parts where

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Speaker 4: Andy Dufran is like walking out and disposing of dirt

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Speaker 4: through his pant leg like that dirt is also accompanied

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Speaker 4: by a great deal of come.

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Speaker 2: And yeah, so the voiceover should be like and may

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00:20:03,200 --> 00:20:06,639
Speaker 2: new Fray will love to master bit. He couldn't get

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00:20:06,760 --> 00:20:09,679
Speaker 2: enough after ten years he needed a new poster. And

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00:20:09,720 --> 00:20:14,159
Speaker 2: he came to me that was our m guys just

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Speaker 2: constantly jacking on.

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Speaker 1: All right?

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Speaker 4: Uh well, fu Shawshank Redemption. I'm fully sold on that.

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Speaker 4: Are you a Green Mile fan by any chance?

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Speaker 1: I started?

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Speaker 2: I've never seen it. I started to watch it me.

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Speaker 4: Yeah, I do like I do like Shashank, And I

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Speaker 4: was like, I don't know this. I've only seen the

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Speaker 4: scenes where Tom Hanks has a hard time taking a piss.

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Speaker 1: That's no Jack. That's for a broader thesis that you

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Speaker 1: have a looping video clip that you watched for two hours.

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Speaker 4: I say, I'm watching Green Mile. There's so many reasons. One,

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Speaker 4: I like shash Redemption.

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Speaker 1: Two.

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00:20:48,359 --> 00:20:54,240
Speaker 4: Green Mile is the climax of Tom Hanks's arc throughout

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Speaker 4: his career of like having to pee, like peeing being

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Speaker 4: a key part of his character work, and then that

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Speaker 4: whole movie. His entire character's point is that he has

443
00:21:05,920 --> 00:21:09,000
Speaker 4: hard time, a hard time being and then gets his

444
00:21:09,560 --> 00:21:13,680
Speaker 4: penis cleared by the hands of Jesus, the healing hands

445
00:21:13,680 --> 00:21:14,480
Speaker 4: of Jesus.

446
00:21:14,720 --> 00:21:15,360
Speaker 1: Yeah.

447
00:21:15,560 --> 00:21:19,320
Speaker 2: JC, That's the only cult I would join, the one

448
00:21:19,320 --> 00:21:20,720
Speaker 2: that teaches it's funny though too.

449
00:21:21,119 --> 00:21:24,280
Speaker 3: Gos like you were saying more like this, they're like

450
00:21:24,359 --> 00:21:27,080
Speaker 3: Shawshanks kind of like for like white guys. Because I

451
00:21:27,080 --> 00:21:28,879
Speaker 3: remember the first time I saw was I get a

452
00:21:28,960 --> 00:21:30,200
Speaker 3: Kid's sleepover When.

453
00:21:30,119 --> 00:21:32,119
Speaker 1: They're like you never so associate redemption.

454
00:21:32,280 --> 00:21:34,280
Speaker 3: Yeah, And I was like, oh no, bro, And then

455
00:21:34,320 --> 00:21:37,040
Speaker 3: I was like, okay, fine, But then I know so

456
00:21:37,119 --> 00:21:39,560
Speaker 3: many people who like they they ride for it.

457
00:21:39,600 --> 00:21:41,520
Speaker 1: I mean, look, everyone has a movie that speaks to them.

458
00:21:41,560 --> 00:21:43,840
Speaker 1: I just didn't. I didn't realize how.

459
00:21:43,840 --> 00:21:46,560
Speaker 2: Much aspects of it where they like learn the you know,

460
00:21:46,560 --> 00:21:48,480
Speaker 2: they kind of learn empathy and that's nice. But then

461
00:21:48,480 --> 00:21:51,399
Speaker 2: there's a there is an overarching theme that feels like

462
00:21:52,240 --> 00:21:53,720
Speaker 2: a couple of things, which is, hey, you know that

463
00:21:53,840 --> 00:21:56,879
Speaker 2: like boring mediocre white guy that you know, he's actually

464
00:21:57,080 --> 00:22:00,280
Speaker 2: the greatest hero that's ever existed. And then also like

465
00:22:00,920 --> 00:22:03,160
Speaker 2: the one time a white guy went to jail for

466
00:22:03,280 --> 00:22:05,320
Speaker 2: a crime he didn't commit becomes this like.

467
00:22:05,600 --> 00:22:08,480
Speaker 1: Big tale.

468
00:22:11,000 --> 00:22:14,680
Speaker 2: To imagine this like white businessman who are supposed to

469
00:22:14,720 --> 00:22:17,280
Speaker 2: be like is this holy innocent? But it's still it's

470
00:22:17,280 --> 00:22:17,960
Speaker 2: watchable either.

471
00:22:18,400 --> 00:22:21,080
Speaker 4: Yeah, all right, we are going to take a quick

472
00:22:21,119 --> 00:22:35,560
Speaker 4: break and we'll be right back. And we're back. We're

473
00:22:35,640 --> 00:22:42,560
Speaker 4: back and talking about eminently watchable Stephen Miller, Jesus Christ.

474
00:22:42,600 --> 00:22:47,520
Speaker 4: Guy holds the fucking camera in the palm of his

475
00:22:47,760 --> 00:22:48,800
Speaker 4: capable hand.

476
00:22:49,800 --> 00:22:52,600
Speaker 1: He looks like he's got like doctor evil vibes.

477
00:22:52,640 --> 00:22:56,639
Speaker 3: Now, oh, he's got like kind of a doctor no

478
00:22:57,000 --> 00:22:59,160
Speaker 3: lies sort of like I could feel like he would

479
00:22:59,240 --> 00:23:02,359
Speaker 3: have like a like a scar running down his face and.

480
00:23:02,520 --> 00:23:03,200
Speaker 1: You to die.

481
00:23:03,560 --> 00:23:09,159
Speaker 4: Yeah, he's like any Everything he says is like less

482
00:23:09,240 --> 00:23:12,720
Speaker 4: natural coming out of his mouth than no, I expect

483
00:23:12,760 --> 00:23:15,320
Speaker 4: you to die, Like that's one should be coming out

484
00:23:15,359 --> 00:23:18,080
Speaker 4: of it, Like every time he's I didn't identify it

485
00:23:18,200 --> 00:23:21,600
Speaker 4: until this moment when I realized that's the uncanny feeling

486
00:23:21,680 --> 00:23:24,439
Speaker 4: I have when he talks is wait, why is he

487
00:23:24,520 --> 00:23:27,720
Speaker 4: not telling me that he expects me to die? Before

488
00:23:28,040 --> 00:23:30,600
Speaker 4: before explaining his scheme and walking off.

489
00:23:30,840 --> 00:23:33,160
Speaker 2: He looks like he has a chronic illness that makes

490
00:23:33,200 --> 00:23:34,400
Speaker 2: you sleepy and grumpy.

491
00:23:34,880 --> 00:23:37,440
Speaker 3: Yeah, yeah, yeah, yeah, yeah, it's it's something. It's I

492
00:23:37,480 --> 00:23:40,919
Speaker 3: think it'd just be general unhappiness. But either way, he

493
00:23:41,119 --> 00:23:45,000
Speaker 3: is just really he's he's in the public eye so much,

494
00:23:45,080 --> 00:23:45,800
Speaker 3: whether it was his.

495
00:23:46,320 --> 00:23:48,960
Speaker 1: You're not hardcore, we're hardcore. They're just everything.

496
00:23:49,160 --> 00:23:51,000
Speaker 3: Every day we have to hear from him more and

497
00:23:51,080 --> 00:23:54,360
Speaker 3: more him trying to describe the state of the country,

498
00:23:54,400 --> 00:23:58,119
Speaker 3: like there's this left wing terrorist network that must be

499
00:23:58,240 --> 00:24:00,680
Speaker 3: dismantled by the state and we have to use every

500
00:24:00,720 --> 00:24:03,959
Speaker 3: power available. But again, I mean, I think this is

501
00:24:04,280 --> 00:24:06,200
Speaker 3: because he's so visible. A lot of people are like.

502
00:24:06,320 --> 00:24:08,760
Speaker 1: Is he actually running this administration day to day?

503
00:24:09,040 --> 00:24:12,160
Speaker 3: Like what he seems to know the most about everything

504
00:24:12,240 --> 00:24:14,560
Speaker 3: going on and then gets in front of the microphones

505
00:24:14,600 --> 00:24:17,080
Speaker 3: like he does. But he is one of the most

506
00:24:17,119 --> 00:24:20,639
Speaker 3: reviled people in the country and it clearly doesn't bother him.

507
00:24:20,440 --> 00:24:23,879
Speaker 3: I'm sure his own family's been publishing stuff over the

508
00:24:23,960 --> 00:24:27,280
Speaker 3: years about him, and recently his cousin did, which a

509
00:24:27,280 --> 00:24:29,520
Speaker 3: lot of people were like, Oh, let's see what his

510
00:24:29,520 --> 00:24:32,760
Speaker 3: own family thinks about him, which brought a post from

511
00:24:32,760 --> 00:24:34,719
Speaker 3: a few years ago up from his uncle on his

512
00:24:34,800 --> 00:24:38,560
Speaker 3: mother's side, who's like a neurologist or neuro psychologist, some

513
00:24:39,160 --> 00:24:42,840
Speaker 3: fancy brain shit, and he like one way he described quote,

514
00:24:42,960 --> 00:24:45,040
Speaker 3: there is a deep vein of hypocrisy running through the

515
00:24:45,040 --> 00:24:49,320
Speaker 3: Trump administration, and my odious nephew Stephen Miller is the

516
00:24:49,359 --> 00:24:52,960
Speaker 3: purest example of it. So okay, he can probably I

517
00:24:52,960 --> 00:24:54,840
Speaker 3: think he maybe he got through that one.

518
00:24:54,960 --> 00:24:59,360
Speaker 1: Sounds like someone else was googling some synonyms. Dude, O, dude,

519
00:25:00,040 --> 00:25:02,760
Speaker 1: who is fucked up? Like if my uncle said my

520
00:25:02,840 --> 00:25:06,720
Speaker 1: odious nephew, I would be angry. Yeah, I would.

521
00:25:06,480 --> 00:25:08,960
Speaker 2: Seems like a word a villain and a Pixar movie

522
00:25:08,960 --> 00:25:09,560
Speaker 2: would use.

523
00:25:09,680 --> 00:25:12,280
Speaker 1: Yeah exactly and O differous.

524
00:25:12,359 --> 00:25:15,240
Speaker 3: But look his cousin this week on his mom's side

525
00:25:15,320 --> 00:25:17,880
Speaker 3: also chimed in with this whole thing about just saying

526
00:25:17,880 --> 00:25:20,440
Speaker 3: like I knew him as like this sensitive, like goofy

527
00:25:20,600 --> 00:25:23,560
Speaker 3: middle child who was just like really nice to the

528
00:25:23,600 --> 00:25:26,560
Speaker 3: younger kids. Goes on to say, quote, I'm living with

529
00:25:26,680 --> 00:25:28,960
Speaker 3: deep pain, with the deep pain of watching someone I

530
00:25:28,960 --> 00:25:31,080
Speaker 3: once loved become the face of evil. I grieve what

531
00:25:31,119 --> 00:25:34,120
Speaker 3: you've become, Stephen. I will never knowingly let evil into

532
00:25:34,200 --> 00:25:37,160
Speaker 3: my life, no matter who's blood it carries, including my own.

533
00:25:37,560 --> 00:25:42,400
Speaker 1: And then she goes on she you know how obsessed

534
00:25:42,440 --> 00:25:43,719
Speaker 1: this family is with blood?

535
00:25:43,960 --> 00:25:50,600
Speaker 4: Yeah, who's blood it carries running through its veins, securiorly.

536
00:25:50,400 --> 00:25:52,320
Speaker 2: Picturing a woman who looks like Steven Miller with a

537
00:25:52,359 --> 00:25:52,720
Speaker 2: wig on.

538
00:25:54,440 --> 00:25:56,280
Speaker 3: But she goes on to talk about, you know, Stephen

539
00:25:56,280 --> 00:25:59,280
Speaker 3: Miller's Jewish, and she talks about how at family gatherings

540
00:25:59,560 --> 00:26:03,399
Speaker 3: they're fa families were told stories about their ancestors surviving

541
00:26:03,480 --> 00:26:07,000
Speaker 3: pogrims and ghettos and the Holocaust, and something like as

542
00:26:07,040 --> 00:26:09,679
Speaker 3: a family culture, we're like this will we will not

543
00:26:09,800 --> 00:26:12,360
Speaker 3: repeat this. We will protect this, you know, each other

544
00:26:12,520 --> 00:26:15,440
Speaker 3: people from this ever happening again. She goes to say, quote,

545
00:26:15,480 --> 00:26:17,960
Speaker 3: we celebrated holidays each year with the reminder to stand

546
00:26:18,040 --> 00:26:20,080
Speaker 3: up and say never again. But what you were doing

547
00:26:20,119 --> 00:26:22,800
Speaker 3: breaks that sacred promise. It breaks everything we were taught.

548
00:26:22,800 --> 00:26:25,200
Speaker 3: How can you do to others what has been done

549
00:26:25,280 --> 00:26:27,119
Speaker 3: to us? How can you wake up each day and

550
00:26:27,160 --> 00:26:30,280
Speaker 3: repeat the cruelty that our people barely escaped from?

551
00:26:30,520 --> 00:26:30,760
Speaker 1: Right?

552
00:26:30,960 --> 00:26:33,879
Speaker 4: And I guess with Trump like he would just be like,

553
00:26:33,920 --> 00:26:36,920
Speaker 4: that's loser, shit, you're a loser, get out of here.

554
00:26:37,320 --> 00:26:41,439
Speaker 4: And but with Steven Miller, his eyes starts twitching and

555
00:26:41,520 --> 00:26:43,120
Speaker 4: his mouth gets wet, And.

556
00:26:45,080 --> 00:26:47,880
Speaker 1: How dare you speak to me like this?

557
00:26:48,440 --> 00:26:51,879
Speaker 4: You know, like that's what I'm picturing happening behind the scenes,

558
00:26:51,960 --> 00:26:54,920
Speaker 4: just like spit flecking out of his mouth.

559
00:26:55,040 --> 00:26:58,000
Speaker 3: Did you ever see that clip where Jesse Waters had

560
00:26:58,040 --> 00:27:00,520
Speaker 3: his wife on't I didn't talk about it because it's

561
00:27:00,520 --> 00:27:04,199
Speaker 3: Stephen Miller's wife. Yeah, and she she talks about his

562
00:27:04,880 --> 00:27:07,200
Speaker 3: They talk about how he isn't bed.

563
00:27:07,320 --> 00:27:08,960
Speaker 1: I don't know how I missed this one.

564
00:27:09,080 --> 00:27:12,080
Speaker 5: You are married to Stephen Miller, so you are the

565
00:27:12,200 --> 00:27:13,040
Speaker 5: envy of all women?

566
00:27:13,960 --> 00:27:14,520
Speaker 2: What is that?

567
00:27:14,600 --> 00:27:14,679
Speaker 3: Like?

568
00:27:15,000 --> 00:27:15,080
Speaker 1: All?

569
00:27:15,160 --> 00:27:15,280
Speaker 6: Right?

570
00:27:15,320 --> 00:27:18,720
Speaker 1: Wait? Does that he? This is? Is that? It is

571
00:27:18,760 --> 00:27:24,960
Speaker 1: that I believe his wife the envy of all women.

572
00:27:25,240 --> 00:27:28,760
Speaker 4: So he's just like nagging her husband.

573
00:27:29,480 --> 00:27:31,520
Speaker 3: I should be having that like, this is okay, this

574
00:27:31,600 --> 00:27:34,320
Speaker 3: is again one more time because he laughs, He's like, yo,

575
00:27:34,400 --> 00:27:36,600
Speaker 3: I'm taking shots at your men right now.

576
00:27:36,800 --> 00:27:39,800
Speaker 5: You are married to Stephen Miller, So you are the

577
00:27:39,920 --> 00:27:40,760
Speaker 5: envy of all women.

578
00:27:41,720 --> 00:27:43,440
Speaker 2: What is that like? A sexual matador?

579
00:27:43,560 --> 00:27:43,720
Speaker 6: Right?

580
00:27:44,600 --> 00:27:45,320
Speaker 5: What is it like.

581
00:27:45,320 --> 00:27:47,000
Speaker 4: Being married to such a sexual matador?

582
00:27:47,720 --> 00:27:50,280
Speaker 3: He is an incredibly inspiring And then she goes on

583
00:27:50,320 --> 00:27:52,720
Speaker 3: to just say some stupid boilerplate ship, but what.

584
00:27:52,880 --> 00:27:56,040
Speaker 4: Weird sexual she It sounds like she was referencing something

585
00:27:56,040 --> 00:27:57,200
Speaker 4: that somebody had said before.

586
00:27:57,520 --> 00:27:59,440
Speaker 1: That definitely sounds like an inside joke.

587
00:28:00,080 --> 00:28:03,240
Speaker 2: I think the ball is the female orgasm and.

588
00:28:04,760 --> 00:28:08,120
Speaker 4: Just continually pulls the ring carpt away.

589
00:28:09,280 --> 00:28:12,920
Speaker 3: You're never, never, never getting a satisfying touch out of Yeah.

590
00:28:13,680 --> 00:28:15,960
Speaker 3: But anyway, I just I always think of the sexual

591
00:28:16,440 --> 00:28:17,240
Speaker 3: never getting.

592
00:28:16,920 --> 00:28:18,159
Speaker 1: Gourd no, yeah no.

593
00:28:18,240 --> 00:28:21,520
Speaker 4: That would probably be cool to have your wife go

594
00:28:21,600 --> 00:28:25,920
Speaker 4: on national TV, have the person who's interviewing her be like, yeah,

595
00:28:25,960 --> 00:28:29,240
Speaker 4: so uh that that must be really cool. Everybody thinks

596
00:28:29,280 --> 00:28:33,359
Speaker 4: he's hot and cool like you sarcastic, and then they

597
00:28:33,400 --> 00:28:36,919
Speaker 4: make an inside sexual joke about you yea.

598
00:28:37,160 --> 00:28:40,840
Speaker 1: To each other. I can't imagine what that would be

599
00:28:40,960 --> 00:28:42,320
Speaker 1: like to a to a person.

600
00:28:43,400 --> 00:28:46,800
Speaker 3: Also, this is Stephen Miller just like in the most

601
00:28:46,840 --> 00:28:49,760
Speaker 3: loveless marriage where his like there's just all this extra

602
00:28:49,800 --> 00:28:50,640
Speaker 3: barrital ship going.

603
00:28:50,640 --> 00:28:56,480
Speaker 1: Like Jesse Waters too, honey, you know you're not she

604
00:28:56,640 --> 00:28:59,680
Speaker 1: the one who went and worked for Elon Musk.

605
00:28:59,800 --> 00:29:02,920
Speaker 3: Yeah, like there and they came back and everyone's like, oh,

606
00:29:02,960 --> 00:29:04,640
Speaker 3: you left with Elon and everyone.

607
00:29:04,560 --> 00:29:06,920
Speaker 4: Was like during thegulation, like at the height of the

608
00:29:07,000 --> 00:29:11,200
Speaker 4: rift between Trump and the Trump administration and Elon Musk,

609
00:29:11,440 --> 00:29:13,000
Speaker 4: she went and worked.

610
00:29:12,880 --> 00:29:17,480
Speaker 3: For for Elon Musk and then came home. I don't know,

611
00:29:17,520 --> 00:29:19,880
Speaker 3: there's this is this is there's a lot of weird.

612
00:29:19,920 --> 00:29:20,240
Speaker 3: There's a.

613
00:29:22,200 --> 00:29:24,680
Speaker 2: Yeah, she's got she's got a type, which is an

614
00:29:24,920 --> 00:29:27,480
Speaker 2: undiagnosed neurotypical fashionst.

615
00:29:27,880 --> 00:29:31,160
Speaker 3: The Yeah, they the face that launched a thousand dipshits.

616
00:29:31,680 --> 00:29:36,240
Speaker 3: So Stephen Miller was recently on Laura Ingram Show and

617
00:29:37,400 --> 00:29:39,360
Speaker 3: I don't know again, like you were saying at the top, Jack,

618
00:29:40,120 --> 00:29:44,160
Speaker 3: this guy's not good talking unless he's even when he's screaming,

619
00:29:44,200 --> 00:29:46,680
Speaker 3: you're just like, oh my god, dude, calm down.

620
00:29:46,960 --> 00:29:50,400
Speaker 4: Like Lemony's borrowing from like a historic Nazi speech.

621
00:29:50,880 --> 00:29:54,959
Speaker 3: Yeah, exactly literally the words of Gerbels, but just slightly

622
00:29:55,080 --> 00:29:58,040
Speaker 3: updated for today's audiences. This was him when he went

623
00:29:58,080 --> 00:30:02,520
Speaker 3: on Laura Ingram show and she brings up that Alexandria

624
00:30:02,640 --> 00:30:05,520
Speaker 3: Casio Cortes posted this video of him being like, dude,

625
00:30:05,520 --> 00:30:08,080
Speaker 3: this guy is a loser, and the lor Ingram's like, hey,

626
00:30:08,160 --> 00:30:11,080
Speaker 3: let's watch this together, and so we get the we

627
00:30:11,160 --> 00:30:15,240
Speaker 3: get the wonderful benefit of seeing Steven Miller's face as

628
00:30:15,240 --> 00:30:18,400
Speaker 3: like a side by side as as AOC is just

629
00:30:18,920 --> 00:30:20,040
Speaker 3: poking fun, I will.

630
00:30:19,920 --> 00:30:24,640
Speaker 4: Say, just up top, like we need better insult writers

631
00:30:24,720 --> 00:30:29,560
Speaker 4: for the I agree that this isn't the best tact

632
00:30:30,040 --> 00:30:34,120
Speaker 4: to go after him for being a short king apparently,

633
00:30:34,640 --> 00:30:37,880
Speaker 4: but it's just it is interesting to watch his response to.

634
00:30:37,840 --> 00:30:41,440
Speaker 3: Look, you know, democrats, like elected officials, say, for maybe

635
00:30:41,440 --> 00:30:44,760
Speaker 3: a Jasmine Crockett, are good at just firing from the

636
00:30:44,840 --> 00:30:47,680
Speaker 3: hip and just having a great burn.

637
00:30:48,520 --> 00:30:53,320
Speaker 1: But again, the comedy writers, yeah exactly.

638
00:30:53,360 --> 00:30:55,400
Speaker 3: I mean, look, this is what they're fucking paying all

639
00:30:55,400 --> 00:30:58,320
Speaker 3: these podcasters get a fucking writer's room together, you know

640
00:30:58,320 --> 00:30:58,680
Speaker 3: what I mean?

641
00:30:58,920 --> 00:31:00,920
Speaker 1: He gets we have some fire tweets.

642
00:31:00,960 --> 00:31:05,160
Speaker 3: Anyway, here is Laura Ingram making Stephen Miller watch himself

643
00:31:05,160 --> 00:31:05,720
Speaker 3: be made fun of.

644
00:31:06,120 --> 00:31:10,320
Speaker 7: See is your your her favorite target? Apparently on Instagram

645
00:31:10,440 --> 00:31:11,040
Speaker 7: check us out.

646
00:31:12,240 --> 00:31:15,680
Speaker 6: He looks like he is angry about the fact that

647
00:31:15,800 --> 00:31:18,880
Speaker 6: he's for ten, and he looks like he is so

648
00:31:19,240 --> 00:31:22,160
Speaker 6: mad that he is for ten that he's taking that

649
00:31:22,360 --> 00:31:28,000
Speaker 6: anger out at any other population possible.

650
00:31:28,560 --> 00:31:32,400
Speaker 1: Like laugh at them, laugh at.

651
00:31:32,280 --> 00:31:36,440
Speaker 7: Them, like laugh at them, laugh at them. I wish

652
00:31:36,440 --> 00:31:37,880
Speaker 7: I had a hoodie on. I mean, we're trying to

653
00:31:37,880 --> 00:31:38,880
Speaker 7: play sorority sister?

654
00:31:39,160 --> 00:31:39,520
Speaker 2: Is this?

655
00:31:42,600 --> 00:31:45,160
Speaker 7: I was at absorty over over the weekend over in Texas.

656
00:31:45,200 --> 00:31:47,280
Speaker 7: I feel like I was back at the sorority house, except.

657
00:31:47,080 --> 00:31:52,320
Speaker 3: The good clapback to what do or do you with

658
00:31:52,440 --> 00:31:53,080
Speaker 3: a hood on it?

659
00:31:53,160 --> 00:31:54,600
Speaker 1: Laura, don't do it to him like that?

660
00:31:54,640 --> 00:31:54,960
Speaker 2: What do you?

661
00:31:55,040 --> 00:31:55,120
Speaker 8: What?

662
00:31:55,160 --> 00:31:56,600
Speaker 2: Are you vaguely comfortable in your.

663
00:31:57,240 --> 00:32:00,560
Speaker 5: Quick response, Well, we knew, we knew that her brain

664
00:32:00,640 --> 00:32:03,040
Speaker 5: didn't work. Now we know their eyes don't work.

665
00:32:03,360 --> 00:32:03,920
Speaker 1: So the.

666
00:32:05,400 --> 00:32:06,480
Speaker 5: I mean she should she is?

667
00:32:07,760 --> 00:32:08,640
Speaker 2: What a train wreck?

668
00:32:09,000 --> 00:32:09,640
Speaker 1: What a drink?

669
00:32:10,160 --> 00:32:12,880
Speaker 7: I think you should get You should just wear a

670
00:32:12,880 --> 00:32:15,600
Speaker 7: hoodie from now on and respond to her.

671
00:32:15,640 --> 00:32:19,360
Speaker 1: You should wear go ahead.

672
00:32:19,840 --> 00:32:22,880
Speaker 5: I think the point is that every time she's on TV,

673
00:32:23,680 --> 00:32:26,720
Speaker 5: Republican approval ratings go up, Democratic proper ratings go Damn.

674
00:32:27,320 --> 00:32:28,880
Speaker 1: That lady is a walking.

675
00:32:28,760 --> 00:32:31,920
Speaker 7: Nightmare and you're and you're you're about I know you

676
00:32:32,000 --> 00:32:36,520
Speaker 7: for twenty years, you're about five fine eleven, about five ten.

677
00:32:37,560 --> 00:32:43,880
Speaker 1: Red faced, last five ten, five ten again?

678
00:32:44,040 --> 00:32:44,240
Speaker 2: Yeah?

679
00:32:44,400 --> 00:32:47,080
Speaker 1: Just oh wow, what and now our eyes do what?

680
00:32:47,240 --> 00:32:47,480
Speaker 8: I know?

681
00:32:48,280 --> 00:32:54,280
Speaker 4: We've known that their brains don't work, like the lady

682
00:32:54,480 --> 00:32:58,400
Speaker 4: on the word work is like every poor kid who

683
00:32:58,440 --> 00:33:01,320
Speaker 4: like goes viral for being like, oh, I'm gonna finally

684
00:33:01,360 --> 00:33:03,200
Speaker 4: tell you what I bro, I think.

685
00:33:03,080 --> 00:33:07,320
Speaker 1: I'll tell you what's what? Just say he can't fuck? Yeah, yeah,

686
00:33:07,360 --> 00:33:09,040
Speaker 1: you know what I mean? Like that's so above his

687
00:33:09,120 --> 00:33:11,400
Speaker 1: mental pay grade, Like dude, he can't even fuck. Dude,

688
00:33:11,440 --> 00:33:15,440
Speaker 1: look at you and they're like, well, uh I.

689
00:33:15,160 --> 00:33:17,040
Speaker 3: Because like in this one he can respond with I'm

690
00:33:17,080 --> 00:33:19,480
Speaker 3: five ten, I'm not four to ten, I'm five ten.

691
00:33:19,640 --> 00:33:26,160
Speaker 1: Is this your wife on Jesse show? She's eating joke

692
00:33:26,560 --> 00:33:30,800
Speaker 1: between them, that's what they call you when they're having sex, dude,

693
00:33:30,920 --> 00:33:31,480
Speaker 1: and they.

694
00:33:31,440 --> 00:33:36,960
Speaker 3: Laugh and they laugh sexual matador scause it's like such

695
00:33:37,000 --> 00:33:38,720
Speaker 3: a inside joke.

696
00:33:40,000 --> 00:33:44,720
Speaker 1: About how you fuck between your wife and Jesse Water.

697
00:33:44,960 --> 00:33:46,520
Speaker 3: It is wild though, too, because if you think every

698
00:33:46,560 --> 00:33:49,040
Speaker 3: time she's on and he comes up, she's always revealing

699
00:33:49,080 --> 00:33:51,280
Speaker 3: some weird shit about him, Like you only like he

700
00:33:51,320 --> 00:33:54,400
Speaker 3: loves mayonnaise. It was like that last thing when she

701
00:33:54,440 --> 00:33:57,160
Speaker 3: had her podcast and she's like, oh, yeah, he likes mayonnaise.

702
00:33:57,560 --> 00:33:59,160
Speaker 3: He's a mannaise guy's wife.

703
00:33:59,520 --> 00:34:00,320
Speaker 1: Yeah.

704
00:34:00,440 --> 00:34:02,520
Speaker 3: This may have been when you were out someone they

705
00:34:02,520 --> 00:34:05,360
Speaker 3: were talking about, like, oh, what is he like? There

706
00:34:05,400 --> 00:34:07,400
Speaker 3: was something about a condiment. I think it was jd

707
00:34:07,560 --> 00:34:09,799
Speaker 3: Vance was talking about the kind of condiments that he likes,

708
00:34:10,480 --> 00:34:13,000
Speaker 3: like jd Vance preferred, and she's like, oh, my husband,

709
00:34:13,080 --> 00:34:15,320
Speaker 3: he's a mayo guy. Like he would just eat mayo

710
00:34:15,760 --> 00:34:17,719
Speaker 3: if like he could eat mayo.

711
00:34:17,520 --> 00:34:18,200
Speaker 1: With a spoon.

712
00:34:18,960 --> 00:34:22,360
Speaker 3: So really, really turn on the sex appeal as you drink,

713
00:34:22,400 --> 00:34:24,920
Speaker 3: as you eat a whole one gallon tub of Best

714
00:34:24,960 --> 00:34:27,920
Speaker 3: Foods mayonnaise with a wooden ladle, and be like.

715
00:34:27,840 --> 00:34:32,319
Speaker 1: Hey, you want to kiss the night babe. It is

716
00:34:33,200 --> 00:34:37,800
Speaker 1: an accurate snapshot of you know, he's a white supremacist

717
00:34:37,840 --> 00:34:42,040
Speaker 1: and at least he's like steering into that, you know,

718
00:34:42,480 --> 00:34:45,480
Speaker 1: and like, yeah, mayo is actually our national food.

719
00:34:46,160 --> 00:34:49,600
Speaker 2: It's so like it's so immature, this like political back

720
00:34:49,640 --> 00:34:51,399
Speaker 2: and for shit. Now, I can't wait till he has

721
00:34:51,440 --> 00:34:54,000
Speaker 2: to have a press conference where he's like, my penis

722
00:34:54,080 --> 00:35:00,000
Speaker 2: is totally normal, right, Yeah, completely normal, perfectly average. They report,

723
00:35:00,120 --> 00:35:01,680
Speaker 2: just have to ask questions about it.

724
00:35:01,760 --> 00:35:06,279
Speaker 1: What is average, sir? According to you? What I'm what

725
00:35:06,440 --> 00:35:08,000
Speaker 1: I'm Is it good?

726
00:35:08,200 --> 00:35:10,320
Speaker 2: Whatever? Good is? It's really good? Strong?

727
00:35:10,840 --> 00:35:14,239
Speaker 1: Well, now we know your eyes don't work. I am

728
00:35:14,320 --> 00:35:14,960
Speaker 1: five ten.

729
00:35:15,200 --> 00:35:18,239
Speaker 3: It's like, yeah, sure, sure, but I mean there is

730
00:35:18,280 --> 00:35:20,680
Speaker 3: something to say that he is being. He is more

731
00:35:20,800 --> 00:35:24,080
Speaker 3: and more visible and sort of he kind of gets

732
00:35:24,080 --> 00:35:26,839
Speaker 3: away with saying the really fucking out there shit too.

733
00:35:26,880 --> 00:35:29,840
Speaker 3: I mean, obviously none of them are being held to account,

734
00:35:30,120 --> 00:35:31,800
Speaker 3: but he's the one that really kind of pushes the

735
00:35:31,920 --> 00:35:34,640
Speaker 3: envelope further and further and further. Although it's funny when

736
00:35:34,640 --> 00:35:37,120
Speaker 3: he's pressed, like on CNN about being like, you guys

737
00:35:37,160 --> 00:35:41,000
Speaker 3: are just profiling people racially, he hasn't quite crossed the

738
00:35:41,080 --> 00:35:45,640
Speaker 3: rubicon into yeah, we are. He's like, that's that's absurd.

739
00:35:45,880 --> 00:35:49,160
Speaker 3: That's absurd. So there's still this like protect like this fake.

740
00:35:49,840 --> 00:35:52,560
Speaker 1: Sense of decency that he still tries to engage in

741
00:35:53,040 --> 00:35:57,480
Speaker 1: despite on his face being Ninja Corples. Yeah, all right.

742
00:35:57,680 --> 00:36:01,400
Speaker 4: Moving on to the Supreme Court, where they're currently hearing

743
00:36:01,600 --> 00:36:05,960
Speaker 4: arguments challenging a Colorado law banning the barbaric practice of

744
00:36:06,040 --> 00:36:12,560
Speaker 4: conversion therapy. The case began with Christian licensed counselor Kayleie Childs,

745
00:36:13,120 --> 00:36:19,200
Speaker 4: who's arguing Christian licensed Christian. Yeah, she's been licensed by

746
00:36:19,360 --> 00:36:24,960
Speaker 4: Christianity to counsel people and arguing that her First Amendment

747
00:36:25,160 --> 00:36:28,480
Speaker 4: rights are being violated. And she's like doing it as

748
00:36:28,520 --> 00:36:32,200
Speaker 4: a it's it's not that you're regulating my speech, You're

749
00:36:32,239 --> 00:36:36,960
Speaker 4: you're regulating professional conduct, Okay, and that is one thing

750
00:36:37,000 --> 00:36:39,400
Speaker 4: we can't abide because like that, that's the way in

751
00:36:39,600 --> 00:36:43,719
Speaker 4: is that. Sorry, steins don't have rights, but businesses do

752
00:36:44,120 --> 00:36:45,160
Speaker 4: in this country, and.

753
00:36:45,239 --> 00:36:46,920
Speaker 1: We can't allow that. Yeah.

754
00:36:47,000 --> 00:36:50,040
Speaker 3: Yeah, yeah, so she'd all because they're saying, yeah, you

755
00:36:50,080 --> 00:36:54,399
Speaker 3: can't torture people into into making them change who they are.

756
00:36:54,480 --> 00:36:57,560
Speaker 1: That's that's really what we're talking about here. But again, sure,

757
00:36:57,600 --> 00:37:02,000
Speaker 1: it's it's my First Amendment right to yes, counseled these children.

758
00:37:02,360 --> 00:37:05,879
Speaker 4: Yeah, And she's backed by the Alliance Defending Freedom, which

759
00:37:05,920 --> 00:37:11,399
Speaker 4: is a depocketed right wing legal advocacy organization that known

760
00:37:11,480 --> 00:37:15,360
Speaker 4: in some quarters as a hate group, by the Southern

761
00:37:15,360 --> 00:37:21,120
Speaker 4: Poverty Law Center, and yeah, the American Psychological Association calls

762
00:37:21,360 --> 00:37:26,040
Speaker 4: conversion therapy a huge danger, has compared it to torture

763
00:37:26,080 --> 00:37:28,959
Speaker 4: and says that it could cause depression, suicidal ideation, self

764
00:37:28,960 --> 00:37:32,680
Speaker 4: blind guilt, and loss of hope. Meanwhile, the Supreme Court

765
00:37:32,719 --> 00:37:39,240
Speaker 4: appears to be like ready to side with them.

766
00:37:38,880 --> 00:37:40,960
Speaker 1: With not the not the doctors.

767
00:37:41,400 --> 00:37:44,080
Speaker 3: No, no, I mean the last few dumb ass the

768
00:37:44,120 --> 00:37:46,839
Speaker 3: cases that the ADF has brought to the Supreme Court.

769
00:37:47,040 --> 00:37:49,439
Speaker 1: You know they've ended up winning, Like you know where

770
00:37:49,440 --> 00:37:50,320
Speaker 1: the woman's.

771
00:37:49,960 --> 00:37:52,279
Speaker 3: Like, I don't design websites, but I was asked to

772
00:37:52,320 --> 00:37:55,200
Speaker 3: design a website for a gay couple who is getting married,

773
00:37:55,280 --> 00:37:57,000
Speaker 3: and and I.

774
00:37:56,960 --> 00:37:59,520
Speaker 1: Couldn't say no. I have to be able to say no.

775
00:37:59,560 --> 00:38:02,200
Speaker 3: There's all like this is what their whole sort of

776
00:38:02,480 --> 00:38:07,759
Speaker 3: strategically he as a non website designer, just like this,

777
00:38:07,760 --> 00:38:12,760
Speaker 3: this idea that you can change a person through psychological

778
00:38:12,920 --> 00:38:16,480
Speaker 3: torture is so fucking backwards and I think speaks to

779
00:38:16,560 --> 00:38:20,120
Speaker 3: what how many just conservatives just look at things. It's like, well,

780
00:38:20,120 --> 00:38:22,080
Speaker 3: there's got to be a cure for that thing of

781
00:38:22,160 --> 00:38:24,839
Speaker 3: who you are as a person. Maybe if I use

782
00:38:24,920 --> 00:38:28,960
Speaker 3: covenant eyes, I won't be looking at weird porn because

783
00:38:28,960 --> 00:38:31,200
Speaker 3: I have this app on my phone. Or maybe if

784
00:38:31,200 --> 00:38:35,239
Speaker 3: I torture my child into denying who they are, they

785
00:38:35,280 --> 00:38:37,520
Speaker 3: can conform more to what I think I need them

786
00:38:37,560 --> 00:38:38,640
Speaker 3: to be et cetera, et cetera.

787
00:38:38,719 --> 00:38:42,600
Speaker 2: But yeah, then my husband won't be addicted to grinder

788
00:38:42,680 --> 00:38:45,439
Speaker 2: for all those terrible, despicable blowjobs all the time.

789
00:38:45,440 --> 00:38:50,279
Speaker 1: He's exactly. There's demonic, demonic fallacio things that he Oh god.

790
00:38:50,400 --> 00:38:53,640
Speaker 2: It's also like have these people only met eleven people

791
00:38:53,719 --> 00:38:57,360
Speaker 2: in their lives? Like how do you not befriend gay people?

792
00:38:57,440 --> 00:38:58,799
Speaker 2: You know what I mean? Like, how do you not

793
00:38:58,880 --> 00:39:01,279
Speaker 2: have somebody come across your path and a person who

794
00:39:01,320 --> 00:39:04,400
Speaker 2: is like kind and open hearted and also is gay.

795
00:39:04,680 --> 00:39:09,319
Speaker 4: Very carefully but very carefully charting your course and just

796
00:39:09,360 --> 00:39:13,280
Speaker 4: shutting out any fucking relationships. It's so bizarre.

797
00:39:13,920 --> 00:39:16,200
Speaker 2: And also just the question of like, okay, if it's

798
00:39:16,239 --> 00:39:22,879
Speaker 2: a choice, yeah, and what's your problem? Like that means

799
00:39:22,880 --> 00:39:25,640
Speaker 2: that you could choose to be gay. That's so interesting

800
00:39:25,680 --> 00:39:28,399
Speaker 2: because I don't feel like I can't, but your.

801
00:39:28,360 --> 00:39:32,480
Speaker 4: Small amount of electrostruck therapy, I can just force myself

802
00:39:32,640 --> 00:39:36,080
Speaker 4: to stop having those damned thoughts.

803
00:39:35,800 --> 00:39:38,520
Speaker 3: Because this is again like I'm pretty sure with this,

804
00:39:38,520 --> 00:39:41,719
Speaker 3: this isn't a case where like the there is an

805
00:39:41,760 --> 00:39:45,480
Speaker 3: actual victim, like where they can be like, oh, these

806
00:39:45,480 --> 00:39:49,520
Speaker 3: are under pro pro LGBTQ laws. Or something like, this

807
00:39:49,560 --> 00:39:51,480
Speaker 3: is the thing they did. Like even with the there

808
00:39:51,560 --> 00:39:54,000
Speaker 3: was like a football coach. They were pretend like they

809
00:39:54,040 --> 00:39:55,960
Speaker 3: made up to be like this guy was told he

810
00:39:55,960 --> 00:39:57,600
Speaker 3: couldn't pray, and they're.

811
00:39:57,480 --> 00:40:00,399
Speaker 2: Like for the for the and set.

812
00:40:00,520 --> 00:40:02,440
Speaker 3: Well they just I mean again, it's like always these

813
00:40:02,520 --> 00:40:04,880
Speaker 3: hypothetical things to sort of get ahead of it just

814
00:40:04,920 --> 00:40:06,279
Speaker 3: to be able to bring something in front of the

815
00:40:06,320 --> 00:40:07,279
Speaker 3: Supreme Court.

816
00:40:07,560 --> 00:40:11,440
Speaker 2: Right, which again shows white people's incredible ability to victimize themselves.

817
00:40:11,640 --> 00:40:14,719
Speaker 1: Yeah, oh yeah, they're so good at that. In mayonnaise,

818
00:40:14,800 --> 00:40:17,399
Speaker 1: we fucking oh yeah.

819
00:40:16,840 --> 00:40:19,200
Speaker 2: I can't get enough. Yeah, self pity and it's just

820
00:40:19,200 --> 00:40:21,719
Speaker 2: a slappy mayo samiyah to go.

821
00:40:22,160 --> 00:40:23,560
Speaker 3: I mean this is like a thing too, Like we're

822
00:40:23,600 --> 00:40:26,160
Speaker 3: even like one of the heads of one of like

823
00:40:26,200 --> 00:40:30,680
Speaker 3: the largest sort of quote unquote conversion therapy groups, Like

824
00:40:30,800 --> 00:40:34,280
Speaker 3: they cut ties with the president and the founder because

825
00:40:34,320 --> 00:40:37,480
Speaker 3: the guy was like, yeah, not one person has ever

826
00:40:37,520 --> 00:40:41,000
Speaker 3: become straight because of this, right, So it's.

827
00:40:40,840 --> 00:40:45,880
Speaker 4: Not the best batting average, so not we're we're working

828
00:40:45,920 --> 00:40:50,000
Speaker 4: with a not one person average, yeah, which I think

829
00:40:50,080 --> 00:40:53,000
Speaker 4: is a zero, which is a little bit below the

830
00:40:53,000 --> 00:40:57,239
Speaker 4: Mendoza ligne. But we're into harming people, so that's kind

831
00:40:57,239 --> 00:40:59,560
Speaker 4: of like what I mean we're here for.

832
00:40:59,560 --> 00:41:01,719
Speaker 3: Yeah, because this is all just part of the campaign,

833
00:41:02,160 --> 00:41:07,040
Speaker 3: you know, of to create just these out groups, and again,

834
00:41:07,080 --> 00:41:13,200
Speaker 3: when it's legal to psychologically torture a gay person, then yeah,

835
00:41:13,280 --> 00:41:16,040
Speaker 3: then we just have like this de facto discrimination against

836
00:41:16,080 --> 00:41:18,440
Speaker 3: LGBTQ people. And now, like with all the anti trains

837
00:41:18,480 --> 00:41:20,560
Speaker 3: shit going on, this is just like this is part

838
00:41:20,600 --> 00:41:22,759
Speaker 3: of the fucking movement to be like yeah it's and

839
00:41:22,800 --> 00:41:25,719
Speaker 3: that's okay, and that's normal, and shit, way too many

840
00:41:25,760 --> 00:41:27,879
Speaker 3: states already have like it's legal, and way too many

841
00:41:27,920 --> 00:41:29,560
Speaker 3: states as it is now.

842
00:41:29,600 --> 00:41:32,000
Speaker 2: That's what I'm saying. RuPaul's Dragrace. Man, it's so beaut

843
00:41:32,120 --> 00:41:35,080
Speaker 2: like like every third episode they really tell a story

844
00:41:35,160 --> 00:41:38,719
Speaker 2: about one of the queens and it's so beautiful and

845
00:41:38,840 --> 00:41:41,560
Speaker 2: like heart wrenching. I was just, Okay, this will make

846
00:41:41,640 --> 00:41:44,279
Speaker 2: sense in a second. Rip Jane Goodall, I was just

847
00:41:44,320 --> 00:41:46,400
Speaker 2: listening to this interview with her and she was talking

848
00:41:46,440 --> 00:41:48,719
Speaker 2: how she.

849
00:41:47,920 --> 00:41:48,600
Speaker 1: She did this.

850
00:41:48,880 --> 00:41:55,600
Speaker 2: She went and basically stopped scientists from practicing research on monkeys,

851
00:41:55,640 --> 00:41:57,640
Speaker 2: and the way she did it because she would go

852
00:41:57,640 --> 00:41:59,640
Speaker 2: there and see these apes who she loved in cages.

853
00:41:59,680 --> 00:42:03,280
Speaker 2: She would go there and tell them stories about monkeys

854
00:42:03,360 --> 00:42:06,719
Speaker 2: and show them footage of monkeys playing and like in

855
00:42:06,800 --> 00:42:09,400
Speaker 2: the you know, in the Amazon and like lasing around

856
00:42:09,400 --> 00:42:12,120
Speaker 2: and enjoying each other's company. And she was like, the

857
00:42:12,160 --> 00:42:16,040
Speaker 2: way you change people is by telling them stories. It's

858
00:42:16,080 --> 00:42:19,120
Speaker 2: not about being like bullied into changing your mind or

859
00:42:19,320 --> 00:42:23,480
Speaker 2: you need to change change, right. Yeah, projecting your bullshit

860
00:42:23,520 --> 00:42:26,480
Speaker 2: hate onto somebody who else is just absurd and says

861
00:42:26,520 --> 00:42:28,520
Speaker 2: so much more about these people than the people that

862
00:42:28,560 --> 00:42:32,600
Speaker 2: are trying to convert, who are fine, right, Yeah, So.

863
00:42:32,600 --> 00:42:35,400
Speaker 4: You harm people who represent something in your mind that

864
00:42:35,480 --> 00:42:38,960
Speaker 4: you are trying to fight with shame, and then you

865
00:42:39,440 --> 00:42:42,120
Speaker 4: use shame on them to make them feel the pain

866
00:42:42,160 --> 00:42:42,680
Speaker 4: you're feeling.

867
00:42:42,760 --> 00:42:43,560
Speaker 1: Flame.

868
00:42:44,120 --> 00:42:46,760
Speaker 3: But all these like you know, right wing conservatives always

869
00:42:46,760 --> 00:42:48,440
Speaker 3: talk about it is like there's like there isn't an

870
00:42:48,600 --> 00:42:52,000
Speaker 3: like the ability to shame people back into the closet

871
00:42:52,120 --> 00:42:54,560
Speaker 3: or whatever isn't as potent as it used to be,

872
00:42:54,640 --> 00:42:55,960
Speaker 3: and like that has to come back.

873
00:42:56,440 --> 00:42:59,160
Speaker 2: Yeah, all right, let's take a quick break and then

874
00:42:59,200 --> 00:43:01,839
Speaker 2: we'll come back and look at Barry Weiss's blog. And

875
00:43:02,000 --> 00:43:05,840
Speaker 2: somebody who seems to feel like too too little shame,

876
00:43:05,920 --> 00:43:07,520
Speaker 2: I would say, in some respect, she.

877
00:43:07,600 --> 00:43:08,560
Speaker 1: Will be right back.

878
00:43:18,840 --> 00:43:24,160
Speaker 4: And we're back, We're back. And so Barry Weiss is

879
00:43:24,480 --> 00:43:25,320
Speaker 4: the free Press?

880
00:43:26,120 --> 00:43:30,160
Speaker 3: Berry, are you doing that to fuck the like the disrespect,

881
00:43:31,239 --> 00:43:33,160
Speaker 3: but fuck you Barry Weiss.

882
00:43:33,520 --> 00:43:38,760
Speaker 4: Oh, it's not like Barry Pepper, Bari Weiss's free Press,

883
00:43:39,160 --> 00:43:42,520
Speaker 4: which is like the blog she started after she left

884
00:43:42,560 --> 00:43:45,439
Speaker 4: the New York Times because they like were too woke

885
00:43:45,520 --> 00:43:49,680
Speaker 4: for her allegedly, and it's it's got.

886
00:43:49,520 --> 00:43:52,640
Speaker 1: Some I don't know, I haven't like paid that much attention.

887
00:43:52,760 --> 00:43:54,120
Speaker 1: Like every once in a while people be like, look

888
00:43:54,120 --> 00:43:55,960
Speaker 1: at the wild ship that they're saying over there.

889
00:43:56,120 --> 00:43:59,920
Speaker 4: But the guys at Choppo just pulled out an article

890
00:44:00,320 --> 00:44:04,600
Speaker 4: from this in relation to that Tillie Norwood story that

891
00:44:04,600 --> 00:44:05,920
Speaker 4: we've been talking about.

892
00:44:06,239 --> 00:44:06,880
Speaker 1: This is an.

893
00:44:06,760 --> 00:44:11,000
Speaker 4: AI actor, like a fake AI actress, and they've created

894
00:44:11,040 --> 00:44:15,280
Speaker 4: a fake story around it where there's like fake interest

895
00:44:15,320 --> 00:44:17,920
Speaker 4: from Hollywood in her and like they're like she's gonna

896
00:44:18,280 --> 00:44:21,399
Speaker 4: get signed by a talent agency and this is all

897
00:44:21,440 --> 00:44:24,520
Speaker 4: being like perpetuated by somebody who is starting a talent

898
00:44:24,560 --> 00:44:31,239
Speaker 4: agency for AI talent. So anyways, the article, this is

899
00:44:31,280 --> 00:44:36,520
Speaker 4: an article where I guess it's an op edge from somebody.

900
00:44:36,200 --> 00:44:42,799
Speaker 9: Named Taylor cow Taylor Cowen, Yeah, and it's it's a

901
00:44:42,960 --> 00:44:47,480
Speaker 9: very standard form of like conservative op ed piece where

902
00:44:47,480 --> 00:44:50,719
Speaker 9: he's lamenting the state of film and how we don't

903
00:44:50,719 --> 00:44:52,319
Speaker 9: make movies like Barry.

904
00:44:52,080 --> 00:44:59,520
Speaker 4: Linden anymore, a movie that is a movie that's mainly

905
00:44:59,600 --> 00:45:06,680
Speaker 4: known for having been shot on only candlelight. So like

906
00:45:06,840 --> 00:45:13,600
Speaker 4: it's specifically like a thing about a artist's vision that

907
00:45:13,640 --> 00:45:16,160
Speaker 4: they were like, I'm going to do something very challenging.

908
00:45:16,360 --> 00:45:19,680
Speaker 4: I've only lit this using candle light, like to lit

909
00:45:19,719 --> 00:45:21,880
Speaker 4: it only using like the things that were available to

910
00:45:21,880 --> 00:45:24,520
Speaker 4: the people at the time he puts heat. So in

911
00:45:24,560 --> 00:45:29,520
Speaker 4: that context, he somehow gets excited about the technology of

912
00:45:29,560 --> 00:45:35,960
Speaker 4: AI actresses because and I'm just gonna read the subpet,

913
00:45:36,440 --> 00:45:38,880
Speaker 4: all right, So the title is my favorite actress is

914
00:45:38,920 --> 00:45:39,480
Speaker 4: not human.

915
00:45:39,680 --> 00:45:42,680
Speaker 3: That's already such a red flag. This is already your

916
00:45:42,719 --> 00:45:44,080
Speaker 3: favorite actress.

917
00:45:43,840 --> 00:45:47,359
Speaker 1: Because she's only been in like two minutes worth of

918
00:45:47,400 --> 00:45:51,319
Speaker 1: clips and just to he doesn't know anything, as we

919
00:45:51,400 --> 00:45:52,200
Speaker 1: pointed out.

920
00:45:52,000 --> 00:45:55,960
Speaker 4: Like Tillie, nor would if you haven't seen her, like

921
00:45:56,280 --> 00:45:59,640
Speaker 4: some one of the first tweets to somebody that I

922
00:45:59,640 --> 00:46:02,160
Speaker 4: saw as nobody make about her that was like, of course,

923
00:46:02,280 --> 00:46:05,560
Speaker 4: like the first AI actress they make as a teen girl,

924
00:46:05,840 --> 00:46:08,600
Speaker 4: because it's like then you can control her and make

925
00:46:08,640 --> 00:46:12,279
Speaker 4: you do, make her do whatever you want. Anyways, the

926
00:46:12,320 --> 00:46:17,480
Speaker 4: subhead Tillie Norwood doesn't need a hairstylist, has no regrettable posts.

927
00:46:17,680 --> 00:46:20,480
Speaker 4: And if you wish to see a virgin on screen,

928
00:46:21,080 --> 00:46:23,000
Speaker 4: this is one of your better chances.

929
00:46:23,680 --> 00:46:29,640
Speaker 3: That's because she's AI at FBI tag.

930
00:46:32,040 --> 00:46:39,000
Speaker 1: Fuck what you wish to see a virgin on screen?

931
00:46:40,800 --> 00:46:42,440
Speaker 1: Who is watching.

932
00:46:42,040 --> 00:46:46,920
Speaker 4: Movies with the like evaluating the performance of an actor

933
00:46:47,640 --> 00:46:49,520
Speaker 4: based on like what.

934
00:46:49,840 --> 00:46:52,200
Speaker 1: They like, whether they've had sex?

935
00:46:52,719 --> 00:46:54,640
Speaker 2: Yeah, I love how much these dudes hate it when

936
00:46:54,680 --> 00:46:55,440
Speaker 2: women have sex.

937
00:46:55,800 --> 00:46:59,000
Speaker 3: Oh my, I remember when there used to be virgins

938
00:46:59,040 --> 00:47:02,680
Speaker 3: on screen, Like what when I'd watch Mickey mouse Club or.

939
00:47:02,640 --> 00:47:05,200
Speaker 1: Something like what are you saying? Dude?

940
00:47:06,600 --> 00:47:08,760
Speaker 2: They never at six? So anybody they've never been touched?

941
00:47:09,320 --> 00:47:09,480
Speaker 4: Jack?

942
00:47:09,520 --> 00:47:12,200
Speaker 1: Did you subscribe to the Free Press to read the rest?

943
00:47:12,680 --> 00:47:14,520
Speaker 4: So I couldn't read the rest of the article because

944
00:47:14,560 --> 00:47:16,400
Speaker 4: I will not be giving them their mind. I looked

945
00:47:16,400 --> 00:47:18,319
Speaker 4: on the way back Machine to try and find like

946
00:47:18,360 --> 00:47:21,400
Speaker 4: a cash version, but they even the way back machine,

947
00:47:21,440 --> 00:47:23,520
Speaker 4: like couldn't find a cash like. I don't think anybody

948
00:47:23,840 --> 00:47:24,600
Speaker 4: want to watch the list?

949
00:47:24,719 --> 00:47:26,680
Speaker 1: They're like, you want to read this for real? What

950
00:47:26,920 --> 00:47:28,239
Speaker 1: it truly feels like a.

951
00:47:28,160 --> 00:47:32,400
Speaker 4: Confession to a crime, and it's just treated by this

952
00:47:32,480 --> 00:47:37,960
Speaker 4: and apparently incredibly valuable media outlet as like just normal

953
00:47:38,120 --> 00:47:39,719
Speaker 4: media criticism.

954
00:47:40,040 --> 00:47:41,799
Speaker 3: But it's I mean, it's wild that she got one

955
00:47:41,880 --> 00:47:45,200
Speaker 3: hundred and fifty million dollars payout basically from Larry Ellison,

956
00:47:45,760 --> 00:47:49,040
Speaker 3: Like just that grift, isn't It's just fucking next level.

957
00:47:49,120 --> 00:47:51,120
Speaker 3: It's like you're like, the New York Times is too

958
00:47:51,239 --> 00:47:53,760
Speaker 3: woke for my backwards ask like the New York Times

959
00:47:53,800 --> 00:47:56,759
Speaker 3: really okay, go on New York Times and they're like,

960
00:47:56,800 --> 00:47:59,440
Speaker 3: I'm starting this whole new thing and a university to

961
00:47:59,520 --> 00:48:01,080
Speaker 3: teach people. And then you end up with one hundred

962
00:48:01,080 --> 00:48:03,360
Speaker 3: and fifty million dollars and now you're running CBS News,

963
00:48:04,120 --> 00:48:06,560
Speaker 3: so you can probably maybe give this guy more airtime hopefully.

964
00:48:06,680 --> 00:48:08,680
Speaker 2: Yeah, and then maybe they will make all that you

965
00:48:09,239 --> 00:48:12,239
Speaker 2: requirement for being a successful actor will be be being

966
00:48:12,280 --> 00:48:13,920
Speaker 2: a virgin, which should be great because then it'll just

967
00:48:13,960 --> 00:48:18,080
Speaker 2: be like clumsy, awkward, sweaty goofballs read.

968
00:48:17,920 --> 00:48:21,960
Speaker 4: Lines right right right, just goes back to Yeah, it's

969
00:48:22,000 --> 00:48:27,440
Speaker 4: all like thirty something men who are like just awkward

970
00:48:27,520 --> 00:48:29,080
Speaker 4: and like with with wigs.

971
00:48:28,760 --> 00:48:29,440
Speaker 1: On and stuff.

972
00:48:29,520 --> 00:48:31,560
Speaker 2: Yeah, yeah, and it's not like there you know, if

973
00:48:31,560 --> 00:48:34,279
Speaker 2: this dude was a sexual great, that's cool.

974
00:48:34,680 --> 00:48:37,160
Speaker 1: Yeah, what is he talking about it?

975
00:48:38,680 --> 00:48:41,040
Speaker 4: I think we all know that we've longed to see

976
00:48:41,040 --> 00:48:45,160
Speaker 4: an actor on screen who's a virgin, right, Like.

977
00:48:45,080 --> 00:48:48,280
Speaker 1: That's that's something like it just opens, like it opens

978
00:48:48,360 --> 00:48:50,720
Speaker 1: it starts from there. Mm hmmm.

979
00:48:51,000 --> 00:48:54,080
Speaker 4: Yeah, he is by the way that like the picture

980
00:48:54,120 --> 00:48:57,480
Speaker 4: of him, he looks to be what mid sixties.

981
00:48:57,239 --> 00:49:02,960
Speaker 3: This guy mid mid sixteen hundreds probably like he looks

982
00:49:03,080 --> 00:49:05,520
Speaker 3: like shit and he looks like he I mean, this

983
00:49:05,560 --> 00:49:07,600
Speaker 3: is the thing with the Tilly Norwood stuff when it

984
00:49:07,640 --> 00:49:09,680
Speaker 3: first came out, like the people who were so into

985
00:49:09,719 --> 00:49:12,560
Speaker 3: it was this idea like it became this like.

986
00:49:12,960 --> 00:49:16,560
Speaker 8: Oh, I love virtual girl puppet for my pleasure and

987
00:49:16,600 --> 00:49:19,000
Speaker 8: I make it do what as I please, and it's

988
00:49:19,200 --> 00:49:23,120
Speaker 8: perfect and it's in my vision. And for whatever reason,

989
00:49:23,120 --> 00:49:24,440
Speaker 8: this Tyler Cowan guy is.

990
00:49:24,520 --> 00:49:29,120
Speaker 3: Like and it's a virgin, and you're like Jesus fucking Christ,

991
00:49:29,160 --> 00:49:31,840
Speaker 3: like there's something this is so much deeper than fucking AI.

992
00:49:32,120 --> 00:49:35,560
Speaker 3: People with this idea of like, well, if I can't

993
00:49:35,600 --> 00:49:38,880
Speaker 3: control women physically and in real life, in physical space,

994
00:49:38,920 --> 00:49:40,840
Speaker 3: then the next best thing are these like sort of

995
00:49:41,360 --> 00:49:46,120
Speaker 3: algorithmic creations that still activate my senses as if.

996
00:49:45,960 --> 00:49:48,000
Speaker 1: It's a woman and I control it now.

997
00:49:48,719 --> 00:49:51,880
Speaker 2: Yeah, yeah, it's totally. It's totally being afraid of women,

998
00:49:52,120 --> 00:49:55,160
Speaker 2: which I you know, I get women are scary, they're

999
00:49:55,200 --> 00:49:57,640
Speaker 2: they're beautiful and they can hurt you.

1000
00:49:57,680 --> 00:49:59,560
Speaker 1: Do that bit from you that do that section from

1001
00:49:59,560 --> 00:50:00,360
Speaker 1: your stand up special.

1002
00:50:00,760 --> 00:50:03,720
Speaker 2: Yeah, so I've never farted. I've never play.

1003
00:50:03,600 --> 00:50:09,600
Speaker 4: No no, no, no, no, no, never farted. All right, should

1004
00:50:09,600 --> 00:50:11,080
Speaker 4: we talk about hip hop miles?

1005
00:50:11,239 --> 00:50:14,239
Speaker 1: Yeah? Should we get into some old head ship here.

1006
00:50:15,080 --> 00:50:19,120
Speaker 3: Look, I know this sounds old, like some old head shit,

1007
00:50:19,800 --> 00:50:24,240
Speaker 3: but the data is backing up this old head take sure,

1008
00:50:24,320 --> 00:50:27,960
Speaker 3: which I need, Okay, because I also need that None

1009
00:50:28,000 --> 00:50:30,560
Speaker 3: of my beliefs are being reinforced in reality right now

1010
00:50:30,600 --> 00:50:33,240
Speaker 3: for some reason, none of my values. But yeah, eleven

1011
00:50:33,320 --> 00:50:36,760
Speaker 3: years ago, like fifty on Snoops, like you know YouTube

1012
00:50:36,800 --> 00:50:39,160
Speaker 3: live show where he just like they just gets incredibly

1013
00:50:39,280 --> 00:50:42,120
Speaker 3: high and then just like ramble about shit, where at

1014
00:50:42,120 --> 00:50:45,200
Speaker 3: the time they were both like, man, nothing sounds like different.

1015
00:50:45,320 --> 00:50:48,000
Speaker 3: Back when I was coming up, everyone had their own style,

1016
00:50:48,120 --> 00:50:51,440
Speaker 3: there was their own sound, and now everything sounds the same,

1017
00:50:51,680 --> 00:50:55,359
Speaker 3: which again felt at that time especially just felt like

1018
00:50:55,400 --> 00:50:58,239
Speaker 3: an old head comment about the sort of new state

1019
00:50:58,280 --> 00:51:00,840
Speaker 3: of rap. But a new study like analyze some of

1020
00:51:00,880 --> 00:51:03,520
Speaker 3: the top songs over like a ten year period, and

1021
00:51:03,560 --> 00:51:07,520
Speaker 3: the data does show like a creative homogenization that has

1022
00:51:07,560 --> 00:51:10,200
Speaker 3: like occurred. And I don't think it's because of because

1023
00:51:10,360 --> 00:51:13,400
Speaker 3: rap is just like like lost its way. It's because

1024
00:51:13,440 --> 00:51:19,399
Speaker 3: fucking algorithms are incentivizing this sort of creative conformity as

1025
00:51:19,440 --> 00:51:23,520
Speaker 3: a way to access audiences. So this was I believe

1026
00:51:23,560 --> 00:51:26,200
Speaker 3: these French researchers shout out the French, you know, for

1027
00:51:26,280 --> 00:51:29,000
Speaker 3: taking the art seriously. They were looking at so like

1028
00:51:29,040 --> 00:51:32,480
Speaker 3: there's a playlist on Spotify called rap Caviar, yeah, which

1029
00:51:32,520 --> 00:51:34,440
Speaker 3: is like where all the new shit drops. And if

1030
00:51:34,440 --> 00:51:37,040
Speaker 3: you're like an up and coming artist, like your mission

1031
00:51:37,120 --> 00:51:39,560
Speaker 3: in life is to get on rap Caviar because that's

1032
00:51:39,600 --> 00:51:42,200
Speaker 3: how you begin to sort of enter the mainstream. And

1033
00:51:42,239 --> 00:51:44,080
Speaker 3: so they looked at like just sort of the hits

1034
00:51:44,080 --> 00:51:47,000
Speaker 3: on rap Caviar over like a course of ten years

1035
00:51:47,040 --> 00:51:49,799
Speaker 3: and just analyzed it. And so they said, contemporary hip

1036
00:51:49,840 --> 00:51:52,640
Speaker 3: hop songs are sixty percent more similar in their word

1037
00:51:52,719 --> 00:51:56,640
Speaker 3: usage than tracks from two decades ago. Nearly ninety percent

1038
00:51:56,800 --> 00:51:58,960
Speaker 3: used the same drum kit, meaning the eight to zho

1039
00:51:58,960 --> 00:52:01,640
Speaker 3: eight drum kit, which you know it was like originally

1040
00:52:01,640 --> 00:52:03,920
Speaker 3: like a trap thing and then now just became like

1041
00:52:04,040 --> 00:52:08,160
Speaker 3: the standard is everything's eight h eight drums Now specifically,

1042
00:52:08,640 --> 00:52:12,880
Speaker 3: forty three of fifty songs follow one of two nearly

1043
00:52:12,960 --> 00:52:17,840
Speaker 3: identical drum patterns, like down to the rhythms, Like it's

1044
00:52:17,880 --> 00:52:20,879
Speaker 3: like forty three of fifty are doing one of two

1045
00:52:21,400 --> 00:52:25,400
Speaker 3: drum patterns. And song duration has also changed, so again,

1046
00:52:25,520 --> 00:52:28,160
Speaker 3: like it's this is all kind of talking about, like

1047
00:52:28,280 --> 00:52:30,719
Speaker 3: the samp. The art of sampling's gone too, Like that

1048
00:52:30,880 --> 00:52:33,040
Speaker 3: was a thing in the golden era of hip hop,

1049
00:52:33,080 --> 00:52:35,520
Speaker 3: Like you needed people like DJ Premier, who's like a

1050
00:52:35,640 --> 00:52:39,600
Speaker 3: jazz freak genius fan of jazz, to pull all these

1051
00:52:39,680 --> 00:52:43,360
Speaker 3: samples to give you all these iconic instrumentals because it

1052
00:52:43,360 --> 00:52:46,359
Speaker 3: came from somebody who's like interacting with older work. Now

1053
00:52:46,360 --> 00:52:50,520
Speaker 3: they're saying, rather than doing samples, producers are doing interpolations

1054
00:52:50,920 --> 00:52:53,560
Speaker 3: to pay like sort of less money than directly sampling,

1055
00:52:54,320 --> 00:52:58,400
Speaker 3: and that has that has increased like exponentially over the years,

1056
00:52:58,880 --> 00:53:01,200
Speaker 3: and now it's even changed the business of like publishing,

1057
00:53:01,200 --> 00:53:03,360
Speaker 3: where people are just trying to buy up whole catalogs

1058
00:53:03,400 --> 00:53:06,120
Speaker 3: to try and get like that sampling or interpolation money

1059
00:53:06,160 --> 00:53:08,960
Speaker 3: that's out there, but again pointing out all these different

1060
00:53:09,040 --> 00:53:13,040
Speaker 3: artists who are using just interpolations of existing songs or

1061
00:53:13,040 --> 00:53:15,359
Speaker 3: even hip hop songs from ten years ago to sort

1062
00:53:15,360 --> 00:53:17,160
Speaker 3: of get on the charts. And they say this is

1063
00:53:17,200 --> 00:53:20,960
Speaker 3: all because of Spotify's use of playlists, and that's affecting

1064
00:53:21,000 --> 00:53:24,120
Speaker 3: things like run time for songs, Like their songs are

1065
00:53:24,160 --> 00:53:26,400
Speaker 3: like a minute and ten seconds shorter than they used.

1066
00:53:26,239 --> 00:53:27,560
Speaker 1: To be like twelve years ago.

1067
00:53:28,040 --> 00:53:32,799
Speaker 3: And because Spotify doesn't count a song as like a

1068
00:53:32,840 --> 00:53:35,960
Speaker 3: listen until you've listened to thirty seconds, it also incentivizes

1069
00:53:36,040 --> 00:53:40,000
Speaker 3: producers to put like the hook earlier to get like

1070
00:53:40,040 --> 00:53:42,680
Speaker 3: the catchy part going to sort of be like okay,

1071
00:53:42,680 --> 00:53:44,080
Speaker 3: we need them to get that thirty seconds.

1072
00:53:44,080 --> 00:53:47,160
Speaker 1: Like it's all just being sort of gamified in this.

1073
00:53:47,000 --> 00:53:52,520
Speaker 4: Is rap caviar a like a editorially like selected choice

1074
00:53:52,560 --> 00:53:54,960
Speaker 4: of songs or is it based on like plays and

1075
00:53:55,000 --> 00:53:55,920
Speaker 4: like how popular something.

1076
00:53:56,000 --> 00:53:56,799
Speaker 1: It's a little bit of both.

1077
00:53:56,800 --> 00:54:00,000
Speaker 3: I mean, they have editors at Spotify who are like

1078
00:54:00,200 --> 00:54:02,279
Speaker 3: gonna put stuff in there, but they're also looking at

1079
00:54:02,360 --> 00:54:05,440
Speaker 3: data too, and so it's like a combination of too.

1080
00:54:05,520 --> 00:54:07,120
Speaker 3: Because I feel like in La for like the last

1081
00:54:07,160 --> 00:54:09,040
Speaker 3: couple of years, like all I hear is gonna on

1082
00:54:09,080 --> 00:54:12,600
Speaker 3: the radio, right, and like and I in working in radio.

1083
00:54:12,680 --> 00:54:14,680
Speaker 3: I remember at the time when I worked at Power

1084
00:54:14,680 --> 00:54:16,919
Speaker 3: one those six I was like what the fuck because

1085
00:54:16,960 --> 00:54:19,120
Speaker 3: I remember just being there and asking someone like, how

1086
00:54:19,120 --> 00:54:22,600
Speaker 3: come we're only playing the same fucking ten songs right,

1087
00:54:22,680 --> 00:54:25,160
Speaker 3: because like, you know, the musical directors like a DJ,

1088
00:54:25,400 --> 00:54:27,440
Speaker 3: so like you know, we both like music.

1089
00:54:27,440 --> 00:54:29,239
Speaker 1: I'm like, but how come you can't play like other shit?

1090
00:54:29,280 --> 00:54:31,200
Speaker 3: He's like, man, it's just because the way the ratings work,

1091
00:54:31,640 --> 00:54:34,880
Speaker 3: if someone has like a PPM, like a personal like

1092
00:54:35,000 --> 00:54:37,560
Speaker 3: listening meter device that the use for like Nielsen ratings,

1093
00:54:38,080 --> 00:54:40,680
Speaker 3: they they need to count on it being something that

1094
00:54:40,719 --> 00:54:43,040
Speaker 3: a person's gonna stay on the radio, So they keep

1095
00:54:43,040 --> 00:54:45,640
Speaker 3: playing the hits just to keep someone there because they

1096
00:54:45,640 --> 00:54:47,440
Speaker 3: need it for the ratings. It's not even for the

1097
00:54:47,520 --> 00:54:50,319
Speaker 3: quality of the listen for the other people. It's in

1098
00:54:50,360 --> 00:54:53,160
Speaker 3: case someone has one of these personal listening meters on

1099
00:54:53,640 --> 00:54:55,640
Speaker 3: and that counts for them as someone tuning into the

1100
00:54:55,719 --> 00:54:56,360
Speaker 3: radio station.

1101
00:54:57,080 --> 00:54:59,439
Speaker 1: So it's based on it just sounds.

1102
00:54:59,440 --> 00:55:02,640
Speaker 4: I'm trying to get sense of, like how this winnowing

1103
00:55:02,719 --> 00:55:05,680
Speaker 4: down is being done, right, It sounds like there are

1104
00:55:05,840 --> 00:55:10,520
Speaker 4: people who are doing analysis with the algorithms to like

1105
00:55:11,080 --> 00:55:14,040
Speaker 4: kind of put a certain set of songs in front

1106
00:55:14,080 --> 00:55:17,480
Speaker 4: of people that are then further winnowed down by like

1107
00:55:17,480 --> 00:55:23,640
Speaker 4: people's preferences and and then the algorithms interaction with people's preferences. Yeah,

1108
00:55:23,640 --> 00:55:27,200
Speaker 4: so it's just it homogenizes things, like because it's just

1109
00:55:27,239 --> 00:55:31,000
Speaker 4: going through all these levels of like anticipation based on

1110
00:55:31,160 --> 00:55:34,440
Speaker 4: previous artwork of what people are going to like, as

1111
00:55:34,440 --> 00:55:38,400
Speaker 4: opposed to like, movies are still this art form where

1112
00:55:38,440 --> 00:55:41,160
Speaker 4: like there's a lot of bullshit out there, but at

1113
00:55:41,239 --> 00:55:43,839
Speaker 4: least like you still sometimes get a thing that is like,

1114
00:55:43,960 --> 00:55:47,040
Speaker 4: well that is like an idea, a vision for something

1115
00:55:47,040 --> 00:55:49,799
Speaker 4: that was inside someone's head and then it like came out.

1116
00:55:50,520 --> 00:55:53,560
Speaker 2: But there's still there's still plenty of in this keeping

1117
00:55:53,560 --> 00:55:55,560
Speaker 2: that analogy with movies, There's still plenty of good hip

1118
00:55:55,600 --> 00:55:56,719
Speaker 2: hop and there always has been.

1119
00:55:56,680 --> 00:56:00,480
Speaker 1: Right, It's just like what is the hits? Is the question?

1120
00:56:00,880 --> 00:56:03,680
Speaker 2: And dude, Young Young Thudd just had those phone calls

1121
00:56:03,719 --> 00:56:06,160
Speaker 2: released where he admitted to paying fifty grand to get

1122
00:56:06,200 --> 00:56:08,759
Speaker 2: bodies for the Gun album, Right, so it's like all

1123
00:56:08,800 --> 00:56:11,240
Speaker 2: that stuff starting to get exposed. Is the payola issue

1124
00:56:11,239 --> 00:56:12,160
Speaker 2: that it is well.

1125
00:56:12,160 --> 00:56:13,879
Speaker 3: And I think the other part too, is like it's

1126
00:56:13,880 --> 00:56:17,400
Speaker 3: Spotify's model, right, Like they want they want binge ability

1127
00:56:17,600 --> 00:56:19,600
Speaker 3: so they have more people using it. So then like

1128
00:56:19,640 --> 00:56:21,840
Speaker 3: if you're if you're like on the ad supported version,

1129
00:56:21,880 --> 00:56:23,959
Speaker 3: they can show advertisers like this is how many people

1130
00:56:23,960 --> 00:56:26,480
Speaker 3: still engage with our platform. But they want it to

1131
00:56:26,640 --> 00:56:31,040
Speaker 3: keep basically keep people from skipping songs. So like the

1132
00:56:31,560 --> 00:56:34,360
Speaker 3: same thing with discovery. It's easy to passively discover a

1133
00:56:34,400 --> 00:56:37,040
Speaker 3: thing if you're using like smart shuffle, which is going

1134
00:56:37,120 --> 00:56:38,759
Speaker 3: to suggest things to you, like, well, I don't want

1135
00:56:38,800 --> 00:56:40,439
Speaker 3: to listen to the same album, but I am listening

1136
00:56:40,440 --> 00:56:42,120
Speaker 3: to this one track and now let me put smart

1137
00:56:42,120 --> 00:56:46,080
Speaker 3: Shuffle on. And now you're saying, algorithm feed me and need.

1138
00:56:46,000 --> 00:56:49,520
Speaker 1: Me things that are structurally similar to this exactly, yeah,

1139
00:56:49,760 --> 00:56:51,960
Speaker 1: and then decentivizes experimentation.

1140
00:56:53,080 --> 00:56:54,680
Speaker 3: And I think that that that's why, like I think

1141
00:56:54,800 --> 00:56:56,799
Speaker 3: a lot of the artists that do really well now

1142
00:56:57,000 --> 00:57:00,640
Speaker 3: like are somewhat different and they don't get lost in

1143
00:57:00,680 --> 00:57:02,520
Speaker 3: the sea of like eight oh eights and auto tunes

1144
00:57:02,520 --> 00:57:05,080
Speaker 3: and like I like that shit too, but knowing too,

1145
00:57:05,120 --> 00:57:07,920
Speaker 3: I know other people who are musicians and also talk

1146
00:57:07,960 --> 00:57:09,360
Speaker 3: about they're like, bro, I have to get on this

1147
00:57:09,440 --> 00:57:12,200
Speaker 3: Spotify list, Like it's just yeah, the shit is so

1148
00:57:12,400 --> 00:57:13,440
Speaker 3: fucking different now.

1149
00:57:13,480 --> 00:57:16,040
Speaker 1: It's like, that's the way I'm gonna get even discovered.

1150
00:57:16,080 --> 00:57:18,960
Speaker 3: That's why I'm doing a song that even sounds like this.

1151
00:57:18,960 --> 00:57:21,760
Speaker 3: This is a quote from someone who was of like

1152
00:57:21,800 --> 00:57:25,080
Speaker 3: an Inner Scope and an M Records basically compared quote

1153
00:57:25,120 --> 00:57:27,480
Speaker 3: the Power to New York's Hot ninety seven radio station

1154
00:57:27,520 --> 00:57:29,880
Speaker 3: in the nineties. Quote, a song goes in rap caviar

1155
00:57:30,080 --> 00:57:32,600
Speaker 3: and everyone pays attention. But landing a spot on rap

1156
00:57:32,600 --> 00:57:36,400
Speaker 3: caviar requires conforming to certain sonic standards. Songs must blend

1157
00:57:36,400 --> 00:57:41,000
Speaker 3: seamlessly into hours long listening sessions. So again there's this

1158
00:57:41,120 --> 00:57:43,920
Speaker 3: incentive to be like, well, if you can kind of

1159
00:57:44,600 --> 00:57:48,520
Speaker 3: be vibrationally with what's going on here, that's how you're

1160
00:57:48,520 --> 00:57:51,600
Speaker 3: going to get it now, old heads, old heads.

1161
00:57:51,440 --> 00:57:52,920
Speaker 1: You know, we're still taking through cricks, you know what

1162
00:57:53,000 --> 00:57:55,600
Speaker 1: I mean. I'm still trying to unearth new gems. But

1163
00:57:55,680 --> 00:57:56,919
Speaker 1: I totally get though too.

1164
00:57:57,280 --> 00:57:59,960
Speaker 3: How when I listen to like a curated or algorithmic

1165
00:58:00,320 --> 00:58:02,360
Speaker 3: like you might like this track based on what or

1166
00:58:02,400 --> 00:58:05,360
Speaker 3: this playlist based on the song you're playing, it's sort

1167
00:58:05,360 --> 00:58:08,600
Speaker 3: of it's not always like what I'm looking for, and

1168
00:58:08,640 --> 00:58:11,000
Speaker 3: it also ends up like They also in their analysis

1169
00:58:11,000 --> 00:58:15,200
Speaker 3: said that the content lyrically is also changing, like there's

1170
00:58:15,280 --> 00:58:16,240
Speaker 3: less storytelling.

1171
00:58:16,680 --> 00:58:25,280
Speaker 4: Yeah, empirically lyrically miraclely less miraclely, Yes, sir, I do

1172
00:58:26,040 --> 00:58:29,360
Speaker 4: have to. I keep telling you that those crazy treading

1173
00:58:29,480 --> 00:58:30,960
Speaker 4: through are just old milk bottles.

1174
00:58:31,240 --> 00:58:34,040
Speaker 1: I don't know, man, They're terrible. They smell.

1175
00:58:34,200 --> 00:58:37,040
Speaker 2: It's just Steely Dan records.

1176
00:58:38,560 --> 00:58:40,240
Speaker 1: But I love it.

1177
00:58:40,280 --> 00:58:42,680
Speaker 2: No, but it's it's I don't know, man. I grew

1178
00:58:42,760 --> 00:58:45,000
Speaker 2: up love loving hip hop. I still do. And uh,

1179
00:58:45,120 --> 00:58:48,280
Speaker 2: it really is a fascinating thing to watch it. Everything

1180
00:58:48,320 --> 00:58:52,400
Speaker 2: go from like day Lessel Pete, Rock Steale, smooth Public

1181
00:58:52,520 --> 00:58:55,440
Speaker 2: Enemy nw A to you know what I mean to

1182
00:58:55,600 --> 00:58:59,480
Speaker 2: now what it's become, to the separation between like overground

1183
00:58:59,480 --> 00:59:01,960
Speaker 2: and underground that is so distinct. And that's why Kendrick

1184
00:59:02,040 --> 00:59:05,400
Speaker 2: Lamar is so fascinating because he's he so brilliantly walks

1185
00:59:05,440 --> 00:59:08,000
Speaker 2: that line. And I love the heat the way he

1186
00:59:08,080 --> 00:59:10,680
Speaker 2: uses like mystery. He's not like chasing the algorithm. He

1187
00:59:10,800 --> 00:59:14,720
Speaker 2: just like yeah, yeah exactly, and then watch the party

1188
00:59:14,760 --> 00:59:17,320
Speaker 2: die seems to predict what's happened, what has happened and

1189
00:59:17,520 --> 00:59:20,600
Speaker 2: is happening in Atlanta. Like it's a really fat he's

1190
00:59:20,600 --> 00:59:22,400
Speaker 2: like John Henry to me or something, you know what

1191
00:59:22,440 --> 00:59:25,880
Speaker 2: I mean, Like he's and and dude, the new JID

1192
00:59:25,920 --> 00:59:28,760
Speaker 2: record is really great. Yeah, I mean, like that's the thing.

1193
00:59:28,920 --> 00:59:30,360
Speaker 2: Like there's a lot of good young rappers.

1194
00:59:30,360 --> 00:59:32,640
Speaker 1: There's so many good rappers. But I think that's the thing.

1195
00:59:32,680 --> 00:59:36,040
Speaker 3: I think the harm is that we've totally we've seated

1196
00:59:36,280 --> 00:59:39,440
Speaker 3: our ability to discover new music to an algorithm, and

1197
00:59:39,480 --> 00:59:42,880
Speaker 3: we're become passive and and like you know, like his

1198
00:59:43,080 --> 00:59:44,840
Speaker 3: radio isn't gonna You're not You're not always going to

1199
00:59:44,880 --> 00:59:47,680
Speaker 3: hear some shit they're like, oh wait, what was that that?

1200
00:59:47,920 --> 00:59:51,080
Speaker 2: Because again and that that is so magical, Like the

1201
00:59:51,080 --> 00:59:53,920
Speaker 2: first time I had heard they reminisce over you on

1202
00:59:54,080 --> 00:59:59,200
Speaker 2: the radio is like a cosmic trip. Like there's nothing

1203
00:59:59,280 --> 01:00:02,160
Speaker 2: like hearing something brand new that's also beautiful, you know.

1204
01:00:02,240 --> 01:00:04,240
Speaker 2: So that's like a loss. That's kind of a lot.

1205
01:00:04,280 --> 01:00:06,920
Speaker 2: And two, of course, it's separating everything into like the

1206
01:00:06,960 --> 01:00:10,200
Speaker 2: one percent and everything else, like that's what capitalism ultimately

1207
01:00:10,280 --> 01:00:11,280
Speaker 2: is designed to do.

1208
01:00:11,760 --> 01:00:13,680
Speaker 3: Other thing, just as like a music nerd, that was

1209
01:00:13,720 --> 01:00:16,080
Speaker 3: really jarring to me in this analysis was that like

1210
01:00:16,160 --> 01:00:20,560
Speaker 3: basically everything is being quantized now like nothing. And quantization

1211
01:00:20,720 --> 01:00:23,200
Speaker 3: is how like when if you're making a beat, if

1212
01:00:23,200 --> 01:00:25,160
Speaker 3: you play slightly off the beat or something, and you

1213
01:00:25,240 --> 01:00:29,560
Speaker 3: quantize it, it snaps it onto a rigid like rhythmic grid,

1214
01:00:29,800 --> 01:00:34,120
Speaker 3: so there is no feel. Yeah, dude, I love it,

1215
01:00:34,200 --> 01:00:36,600
Speaker 3: Like you know, J Dilla one of my favorite producers.

1216
01:00:36,640 --> 01:00:39,200
Speaker 3: Yeah right, that's the And if you listen to Q

1217
01:00:39,360 --> 01:00:42,680
Speaker 3: tip too come from the similar production philosophy.

1218
01:00:43,000 --> 01:00:46,840
Speaker 1: They didn't quantize their beats. That's why, like tribe beats

1219
01:00:47,160 --> 01:00:49,600
Speaker 1: have a fucking human feel to them because it's not

1220
01:00:49,720 --> 01:00:53,000
Speaker 1: on this like rigid quantized grid. And now quantization has

1221
01:00:53,000 --> 01:00:56,880
Speaker 1: been like just completely the norm now, so you don't

1222
01:00:56,880 --> 01:00:59,160
Speaker 1: even get the nuances of just a little bit of

1223
01:00:59,560 --> 01:01:02,800
Speaker 1: drift rhythmically that give make it feel like a person's

1224
01:01:02,840 --> 01:01:04,440
Speaker 1: making it again.

1225
01:01:04,320 --> 01:01:08,000
Speaker 2: Which is like kind of interesting in small amounts. That's

1226
01:01:08,080 --> 01:01:10,640
Speaker 2: kind of interesting. Like there's like when new wave shit happened,

1227
01:01:10,640 --> 01:01:13,080
Speaker 2: everything became electronic in the sort of interesting way. But

1228
01:01:13,160 --> 01:01:16,280
Speaker 2: I think that's that's that kind of like, uh, it

1229
01:01:16,440 --> 01:01:18,960
Speaker 2: just needs to be not the only existing thing on

1230
01:01:19,000 --> 01:01:21,200
Speaker 2: the radio, Like we need to have both, do you

1231
01:01:21,240 --> 01:01:24,000
Speaker 2: know what I'm saying like they're yeah, I really I

1232
01:01:24,000 --> 01:01:24,720
Speaker 2: really believe that.

1233
01:01:24,840 --> 01:01:27,080
Speaker 4: I mean, talk about the only existing thing on the radio,

1234
01:01:27,160 --> 01:01:30,080
Speaker 4: like the music used to be the only option, and

1235
01:01:30,120 --> 01:01:34,160
Speaker 4: now you've got a little little couple guys named Jack.

1236
01:01:33,960 --> 01:01:35,840
Speaker 1: And Miles for people to uh.

1237
01:01:36,240 --> 01:01:39,600
Speaker 3: And so I'm not going to take all the blame

1238
01:01:39,720 --> 01:01:44,800
Speaker 3: for this, but I'm not gonna say music industry fucking desperate.

1239
01:01:45,120 --> 01:01:48,280
Speaker 1: Okay, they're like a couple of we're hemorrhaging listeners to

1240
01:01:48,320 --> 01:01:52,040
Speaker 1: the terrible job at chasing the algorithm, And we are

1241
01:01:52,040 --> 01:01:53,120
Speaker 1: in no way desperate.

1242
01:01:53,320 --> 01:01:56,040
Speaker 4: And yes, we do have those little moments where when

1243
01:01:56,040 --> 01:01:58,120
Speaker 4: we sense that the show's lagging, we insert a thing

1244
01:01:58,160 --> 01:01:59,480
Speaker 4: where we go wha wait, wait.

1245
01:01:59,360 --> 01:02:02,160
Speaker 1: Wait, wait, no, no, no wait, don't you do what? Don't

1246
01:02:02,200 --> 01:02:10,640
Speaker 1: switch to the radio. The radio sucks everybody. I guess

1247
01:02:10,680 --> 01:02:11,600
Speaker 1: I should just quit.

1248
01:02:11,800 --> 01:02:13,680
Speaker 3: And if this is news to you as a listener,

1249
01:02:13,720 --> 01:02:15,600
Speaker 3: that means you haven't been listening all the way through

1250
01:02:15,640 --> 01:02:17,760
Speaker 3: to the episodes where we beg with tears in our

1251
01:02:17,760 --> 01:02:22,480
Speaker 3: eyes for you to stick around for the.

1252
01:02:22,520 --> 01:02:26,720
Speaker 1: Man mort Burke.

1253
01:02:26,800 --> 01:02:29,160
Speaker 4: What a pleasure haveing you as always on the daily

1254
01:02:29,320 --> 01:02:30,720
Speaker 4: like gust, Where can people find you?

1255
01:02:30,840 --> 01:02:32,720
Speaker 1: Follow you? All that good stuff?

1256
01:02:33,200 --> 01:02:37,840
Speaker 2: Yes, at Burke on Instagram. I'm posting sketches that I

1257
01:02:37,960 --> 01:02:39,680
Speaker 2: just this is interesting what we were talking about. I

1258
01:02:39,720 --> 01:02:42,520
Speaker 2: just had a meeting with the social media teacher the

1259
01:02:42,600 --> 01:02:44,720
Speaker 2: other day to try to help me figure out how

1260
01:02:44,760 --> 01:02:46,240
Speaker 2: to make my ship more palatable.

1261
01:02:46,680 --> 01:02:51,840
Speaker 1: So I like palatable, like I'm it's caustic and.

1262
01:02:55,120 --> 01:02:58,560
Speaker 2: Yeah, yeah, first is I'm gonna get leg implants and

1263
01:02:58,600 --> 01:03:00,640
Speaker 2: a bunch of really a bunch of your implants and

1264
01:03:00,760 --> 01:03:01,120
Speaker 2: there gues.

1265
01:03:01,160 --> 01:03:02,640
Speaker 1: We're doing number one on the list.

1266
01:03:02,880 --> 01:03:04,840
Speaker 2: But yeah, we're posting sketches on there every week, so

1267
01:03:04,960 --> 01:03:07,080
Speaker 2: check it out. I'm really proud of them. And the

1268
01:03:07,120 --> 01:03:11,200
Speaker 2: fiftieth episode of Rebrand comes out this Wednesday. Which episode

1269
01:03:11,200 --> 01:03:12,240
Speaker 2: will be out when this is out?

1270
01:03:12,320 --> 01:03:12,480
Speaker 1: Hell?

1271
01:03:12,560 --> 01:03:12,760
Speaker 6: Yes?

1272
01:03:13,040 --> 01:03:16,800
Speaker 2: Which come for episode fifty we talk about all the

1273
01:03:16,840 --> 01:03:20,000
Speaker 2: different things we rebranded and things that we thought we

1274
01:03:20,120 --> 01:03:22,760
Speaker 2: made up that aren't made up. Actually things that we

1275
01:03:22,840 --> 01:03:27,000
Speaker 2: thought didn't exist but do exist, like a Penny Farthing motorcycle.

1276
01:03:27,640 --> 01:03:30,919
Speaker 1: Wow, that's ball.

1277
01:03:31,960 --> 01:03:33,840
Speaker 2: Yeah, stuff like that. But go listen to the old

1278
01:03:33,840 --> 01:03:36,800
Speaker 2: episodes too. We got episodes with Ron Funches, River Butcher,

1279
01:03:37,040 --> 01:03:39,760
Speaker 2: Bug Williamson, James Williams, all these really fun people.

1280
01:03:39,960 --> 01:03:40,479
Speaker 1: Sounds great.

1281
01:03:40,880 --> 01:03:43,520
Speaker 2: Is there a work Amedia that you've been enjoying. You

1282
01:03:43,560 --> 01:03:46,400
Speaker 2: know what, guys, is the skateboard Liaison. I want to

1283
01:03:46,400 --> 01:03:50,440
Speaker 2: briefly talk about the somewhat polarizing new ACEIX skate video.

1284
01:03:50,880 --> 01:03:54,200
Speaker 2: I like it. Directed by Jacob Harris, who you either

1285
01:03:54,280 --> 01:03:56,200
Speaker 2: like his style of your don't. It's a little dreamy,

1286
01:03:56,240 --> 01:03:59,440
Speaker 2: a little Lynchiana, a little bit, yeah, a little bit.

1287
01:03:59,480 --> 01:04:01,800
Speaker 2: It's a weird skate video that some people hate, some

1288
01:04:01,840 --> 01:04:04,400
Speaker 2: people love. But I like it because everybody's not wearing

1289
01:04:04,440 --> 01:04:07,400
Speaker 2: a Monster Energy hat. I always think footage looks cooler

1290
01:04:07,400 --> 01:04:09,360
Speaker 2: when you're not all and God bless the dudes who

1291
01:04:09,360 --> 01:04:10,600
Speaker 2: got against but you know what I mean, make the

1292
01:04:10,640 --> 01:04:11,880
Speaker 2: money for sure, nothing against.

1293
01:04:11,680 --> 01:04:15,080
Speaker 1: Those das A six had a skate team, now that's.

1294
01:04:14,920 --> 01:04:17,160
Speaker 2: What's kind of interesting about it. And they're yeah, so

1295
01:04:17,200 --> 01:04:19,800
Speaker 2: it's corporate shoe wear, which isn't great for the independent

1296
01:04:19,840 --> 01:04:24,120
Speaker 2: shoe companies, but they they're hiring some good, good people

1297
01:04:24,520 --> 01:04:27,080
Speaker 2: on the team. Yeah. This dude of Quasi is so good. Man,

1298
01:04:27,200 --> 01:04:28,560
Speaker 2: so sick check it out.

1299
01:04:28,640 --> 01:04:30,640
Speaker 4: Amazing miles Where can people find you? Is there a

1300
01:04:30,640 --> 01:04:32,000
Speaker 4: workimedia you've been enjoying?

1301
01:04:32,480 --> 01:04:36,440
Speaker 3: Oh man, Yeah, find me everywhere At Miles of Gray.

1302
01:04:37,000 --> 01:04:39,200
Speaker 3: You can find me talking about ninety day on four

1303
01:04:39,200 --> 01:04:42,960
Speaker 3: to twenty day fiance with Sofia Alexandra. Just a thing

1304
01:04:42,960 --> 01:04:46,120
Speaker 3: that made me feel old, but just a fact weight

1305
01:04:46,160 --> 01:04:49,800
Speaker 3: where to go. Well, it doesn't matter because this is

1306
01:04:49,840 --> 01:04:51,800
Speaker 3: just a factoid that I read. But it was just

1307
01:04:51,800 --> 01:04:56,320
Speaker 3: a fact about how Vladimir Vladimir's Guerrero Junior and Senior

1308
01:04:56,360 --> 01:04:58,600
Speaker 3: are the only father son duo to hip post season

1309
01:04:58,640 --> 01:05:02,200
Speaker 3: Grand Slams. And I was like, wow, that brought it

1310
01:05:02,200 --> 01:05:03,480
Speaker 3: to here to my because I remember when he came

1311
01:05:03,520 --> 01:05:05,160
Speaker 3: on the scene with no batting gloves.

1312
01:05:05,160 --> 01:05:09,800
Speaker 1: I was like, who, this guy's a fucking lost but

1313
01:05:10,240 --> 01:05:12,200
Speaker 1: hands full of splinters, just.

1314
01:05:12,280 --> 01:05:15,680
Speaker 3: Yeah, just tough Dominican hands beating the ship.

1315
01:05:15,480 --> 01:05:16,120
Speaker 1: Out of the ball.

1316
01:05:16,160 --> 01:05:19,800
Speaker 3: I love you, vlad Guerrero Senior and June shout out

1317
01:05:19,800 --> 01:05:22,840
Speaker 3: to the fucking Blue Jays man because they are They

1318
01:05:23,160 --> 01:05:24,920
Speaker 3: beat the ship out of the Yankees the other day.

1319
01:05:25,000 --> 01:05:26,120
Speaker 1: And part of me.

1320
01:05:26,120 --> 01:05:28,760
Speaker 3: Is wonders if, like he's like, I wonder like, is

1321
01:05:28,800 --> 01:05:31,760
Speaker 3: the that the hatred of how America has become so

1322
01:05:31,920 --> 01:05:34,480
Speaker 3: backwards as your southern neighbor, Well that power like the

1323
01:05:34,480 --> 01:05:36,200
Speaker 3: Blue Jays to a World Series.

1324
01:05:36,280 --> 01:05:39,800
Speaker 1: I don't know. I wouldn't mind I wouldn't mind. I mean,

1325
01:05:40,480 --> 01:05:42,360
Speaker 1: I mean Dodgers over the Dodgers man too.

1326
01:05:42,480 --> 01:05:44,040
Speaker 3: You know, we spent way too much money to fuck

1327
01:05:44,080 --> 01:05:47,800
Speaker 3: this up, but yeah.

1328
01:05:46,200 --> 01:05:47,160
Speaker 1: Of my money.

1329
01:05:48,120 --> 01:05:51,640
Speaker 4: You can find me on Twitter, Jack undersquorel Brian blue

1330
01:05:51,680 --> 01:05:57,200
Speaker 4: Sky at Jack ob the number one uh working media

1331
01:05:57,320 --> 01:06:00,840
Speaker 4: I've been enjoying. Helen at Helen on Twitter's said, let's

1332
01:06:00,840 --> 01:06:02,640
Speaker 4: be clear, the best invention in the last five years

1333
01:06:02,720 --> 01:06:07,360
Speaker 4: is not chat GPT, it's NERD's gummy clusters. Oh fuck yeah,

1334
01:06:07,440 --> 01:06:08,120
Speaker 4: that is Corrista.

1335
01:06:08,400 --> 01:06:11,640
Speaker 1: That's just following them. Helen at h l e n

1336
01:06:11,960 --> 01:06:12,720
Speaker 1: oh Helen.

1337
01:06:12,720 --> 01:06:15,920
Speaker 2: Yeah, yeah, yeah, hell yeah the best.

1338
01:06:16,800 --> 01:06:18,600
Speaker 4: You can find us on Twitter and blue Sky at

1339
01:06:18,680 --> 01:06:21,480
Speaker 4: Daily Zeikeeist. Where at the Daily Zeikeeist on Instagram, you

1340
01:06:21,520 --> 01:06:23,760
Speaker 4: can go to the description of this episode wherever you're

1341
01:06:23,800 --> 01:06:26,160
Speaker 4: listening to it, and there at the bottom you will

1342
01:06:26,200 --> 01:06:28,640
Speaker 4: find the footnotes, which is where we link off to

1343
01:06:28,680 --> 01:06:29,480
Speaker 4: the information.

1344
01:06:29,160 --> 01:06:30,680
Speaker 1: That we talked about in today's episode.

1345
01:06:30,760 --> 01:06:33,040
Speaker 4: We also link off to a song that we think

1346
01:06:33,080 --> 01:06:35,800
Speaker 4: you might enjoy. Our algorithm tells us that you might

1347
01:06:35,920 --> 01:06:38,840
Speaker 4: enjoy this song. Miles, is there a song that you

1348
01:06:38,840 --> 01:06:39,840
Speaker 4: think that people ask.

1349
01:06:39,840 --> 01:06:43,080
Speaker 3: Man rough Squad, okay, so rough Squad is like a

1350
01:06:43,120 --> 01:06:46,600
Speaker 3: grime crew from the UK in it from back in

1351
01:06:46,640 --> 01:06:49,520
Speaker 3: the day. But like I've just been I've heard some

1352
01:06:49,600 --> 01:06:51,680
Speaker 3: of the beats from the Rough Squad come out in

1353
01:06:51,680 --> 01:06:54,320
Speaker 3: like different mixes, and I've just been diving back in.

1354
01:06:55,040 --> 01:06:58,520
Speaker 3: There's one track, one of their most famous tracks, called Together.

1355
01:06:59,040 --> 01:07:02,840
Speaker 3: It's got like this messaging a bottle like guitar sample

1356
01:07:02,880 --> 01:07:05,360
Speaker 3: in it, but it's also got like this timbling style

1357
01:07:05,440 --> 01:07:06,360
Speaker 3: rhythm going with it.

1358
01:07:06,360 --> 01:07:07,120
Speaker 1: It's just dope.

1359
01:07:07,360 --> 01:07:10,200
Speaker 3: It's just it feels nostalgic and for the old heads,

1360
01:07:10,600 --> 01:07:13,280
Speaker 3: you know what I mean, Let's fucking feel like like

1361
01:07:13,760 --> 01:07:15,440
Speaker 3: when we were in our heyday, you know when I

1362
01:07:15,480 --> 01:07:17,439
Speaker 3: used to wear two head bands at the same time

1363
01:07:17,480 --> 01:07:20,920
Speaker 3: on my head. But this is Together by Rough Squad

1364
01:07:21,000 --> 01:07:25,760
Speaker 3: are u F F s q W A D squad.

1365
01:07:26,000 --> 01:07:29,720
Speaker 4: Interesting. They even have like kind of old funky spelling.

1366
01:07:29,760 --> 01:07:32,680
Speaker 1: Mm hmm, funky cold idea funky.

1367
01:07:32,680 --> 01:07:37,800
Speaker 4: Cold medina right right behind funky cold funky in spelling

1368
01:07:37,960 --> 01:07:39,600
Speaker 4: as an ignore me.

1369
01:07:40,040 --> 01:07:43,200
Speaker 1: All right, all right, well off, turn this off. Weren't

1370
01:07:43,240 --> 01:07:49,480
Speaker 1: you so scared? All right? The Daily's Eyegeich is the

1371
01:07:49,480 --> 01:07:50,640
Speaker 1: production of iHeartRadio.

1372
01:07:50,640 --> 01:07:53,280
Speaker 4: For more podcasts from iHeart Radio, visit the iHeartRadio, w AP,

1373
01:07:53,280 --> 01:07:55,720
Speaker 4: Apple Podcasts, or wherever you listen to your favorite shows.

1374
01:07:55,720 --> 01:07:58,360
Speaker 4: That's gonna do it for us this morning. We're back

1375
01:07:58,440 --> 01:08:01,200
Speaker 4: this afternoon to tell you what is trending, and we

1376
01:08:01,280 --> 01:08:02,280
Speaker 4: will talk to you all then.

1377
01:08:02,560 --> 01:08:07,200
Speaker 1: Bye. The Daily Zeite guys as Executive produced by Catherine Long.

1378
01:08:07,320 --> 01:08:09,400
Speaker 2: Co produced by Bee Wag.

1379
01:08:09,560 --> 01:08:13,440
Speaker 1: Co produced by Victor Wright, co written by j m mcnapp,

1380
01:08:13,960 --> 01:08:16,439
Speaker 1: Edited and engineered by Justin Conner,