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

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Speaker 1: Episode three of Di's y production of My Heart Radio.

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

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Speaker 1: into America's air consciousness. And it is Friday, September eighth,

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Speaker 1: twenty twenty three.

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Speaker 2: Never Forget, Never Forget, three days away Baby from the

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Speaker 2: Big One, nine to eleven. But until then it's Star

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Speaker 2: Trek Day, World a Day and National Pediatric Heematology Oncology Nurses.

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Speaker 1: Day three days of nine to eleven. Yes, happy to

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Speaker 1: all who observe. My name is Jack O'Brian aka I

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Speaker 1: am having stomach pain. Dookie flowing like champagne shit all

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Speaker 1: through this plane.

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Speaker 3: That is courtesy of Christy Amaguchi made.

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Speaker 1: Referencing the man who shit a plane.

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Speaker 2: I feel like that's a good'd be like a good

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Speaker 2: David Bowie, weird Al Yankovic.

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Speaker 3: Man a plan And.

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Speaker 1: I'm thrilled to be joined as always by my co

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Speaker 1: host mister Miles.

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Speaker 2: Grass Miles Gray in the boot up Italy Mouse Apple Katcha.

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Speaker 2: But let me get to the actual part of the

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Speaker 2: the chorus here where it goes Miles and the boot

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Speaker 2: again was in Italy, Baby Beetacinie Baby for Cotta Red Brain.

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Speaker 2: Shout out to Talmary on the Discord for giving us

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Speaker 2: that loser back Italy aka mashup.

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Speaker 1: Well that third voice that you hear They're coming from poolside,

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Speaker 1: coming to you from poolside.

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Speaker 3: Oh yes, is one of our favorite.

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Speaker 1: Guests, one of your favorite guests, A writer, an actor,

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Speaker 1: one of the funniest stand up comedians doing it. She

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Speaker 1: has one of the best comedy specials of the year

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Speaker 1: called Bitch Grow Up. You can go watch on Max.

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Speaker 1: You must go watch it on Max immediately.

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Speaker 2: We have to say it, you know, we have to

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Speaker 2: say it. No, you don't have to do the promo.

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Speaker 2: Let us do the promo for Yes.

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Speaker 1: It is the hellarious non union gigs Talented Marcella or.

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Speaker 4: Gouse me Beyonce, thank you so much, Thank you. Birthday

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Speaker 4: I am the Maya so much headlining the Hollywood Improv

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Speaker 4: September fifteenth, La, come check me out.

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Speaker 2: Oh shit, it's my birthday, is it? Yeah?

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Speaker 4: Come ruin it? Come watch me?

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Speaker 2: Yeah? Why not? Let me your birthday?

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Speaker 1: Birthday girl in the audiences.

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Speaker 2: Bday, Birthday, my birthday.

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Speaker 4: My favorite thing to do. When people went at comedy

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Speaker 4: shows and they interrupt my side, going it's my birthday.

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Speaker 4: I'm like, bitches is an Applebee's I don't give a flu.

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Speaker 4: That is your birthday? To get the last Yeah, I'm like,

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Speaker 4: I don't care. Oh, bitch, you learn, You're like, bitch.

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Speaker 2: Oh, I got a candle right here for you. Let

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Speaker 2: me light it. Oh here it is.

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Speaker 4: Listening. Yes, thank you, thank you so much for having

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Speaker 4: me me Beyonce, I am the Maya.

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Speaker 2: Did you go to the Beyonce Show?

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Speaker 4: I wish I did. My foot injury stopped me from

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Speaker 4: knowing I could commit to so much walking and standing.

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Speaker 1: If I had to guess what happened to your foot,

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Speaker 1: It's that you broke it off in some full gass,

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Speaker 1: say some full ass.

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Speaker 2: I guess that's what I said. Yeah, I don't know

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Speaker 2: why I said that, but.

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Speaker 4: My guys are coming have a very unique, unique foot injury.

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Speaker 4: Because I heard it in two spots. He was like,

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Speaker 4: I have never seen anything like this, because what I

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Speaker 4: did was I sprained it and then I ignored the

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Speaker 4: signs that it was actually badly injured, and I injured

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Speaker 4: it and two other spots as a torn ligament that

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Speaker 4: is almost fully healed. And then some shit happening on

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Speaker 4: the bottom. Yeah, it is a disaster and it's been

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Speaker 4: now almost a year of it. So but I'm getting

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Speaker 4: I'm healing, I'm getting better. I couldn't go see Beyonce

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Speaker 4: because I saw her once before and it was a

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Speaker 4: lot of walking from the car to the stadium, to

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Speaker 4: your seats, to the bathroom to get a drink, to

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Speaker 4: my merch, like, it's a lot. On top of she

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Speaker 4: did three hours and that's what I was informed of

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Speaker 4: early on, and I was like, yeah, I can't handle

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Speaker 4: that so too much. I did not. I wish I

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Speaker 4: could have. But I was also very happy because throughout

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Speaker 4: all of her shows, especially in LA I got a

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Speaker 4: lot of messages from people that were like, every time

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Speaker 4: she talked, I thought of you, every time she opened

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Speaker 4: her mouth, and I was like, that's how mar Marcella

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Speaker 4: does that. And it brought me so much, so much joy,

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Speaker 4: really warmed my spirit that I was with people at

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Speaker 4: the bed because it was it's such a beautiful like album,

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Speaker 4: you know, it's so loving and that's what she's all about.

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Speaker 4: And I love that I was there with everybody, so

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Speaker 4: it was cool.

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Speaker 2: Experience and your energy was channeled even there.

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Speaker 4: Yes, so that was cool.

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Speaker 1: All right, Well, we're going to get to know you

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Speaker 1: a little bit better in a moment. First, a couple

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Speaker 1: of things we're talking about. We're just gonna do a

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Speaker 1: quick check in on Donald Trump, and we're gonna hear

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Speaker 1: from him. You know, everybody's talking about him. What's he

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Speaker 1: have to say about what's going on with him? Because

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Speaker 1: that's got to be trustworthy, right.

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Speaker 4: Yeah, it's important to know what he thinks.

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Speaker 2: Right, right, because it's valid and rational.

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Speaker 1: Yeah, we'll talk about the way that AI could be

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Speaker 1: used in healthcare, and then how it's actually probably going

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Speaker 1: to be used and just be bad. Be bad, It's

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Speaker 1: going to be bad. We'll talk about rotten tomatoes being

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Speaker 1: full of shit, like more than we even thought, I guess, because.

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Speaker 2: It's easy to rig the system they rigged. Yeah, you

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Speaker 2: can pay for reviews.

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Speaker 1: You can just like hire some low level reviewers to

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Speaker 1: boost your score up. So all of that plenty more.

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

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Speaker 1: what is something from your search history?

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Speaker 4: Oh my god, my search history right now is filled

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Speaker 4: with questions about Tears of the Kingdom. So I'm playing

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Speaker 4: the new Zelda game, and every time I try to

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Speaker 4: work on something, some side quester or some shrine, and

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Speaker 4: I can't figure it out. I just Google because I

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Speaker 4: could give a fuck, you know, I don't care. And

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Speaker 4: the last one was really funny because there's a character,

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Speaker 4: there's a monster character who's obsessed with monsters. Their name

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Speaker 4: is Kilton, and he's asking you to take pictures of

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Speaker 4: other monsters so he can create he can get like

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Speaker 4: statues of these monsters made on too his property. And

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Speaker 4: as I'm doing them, you know, you get like good rewards.

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Speaker 4: As I'm doing them, I'm like, wait a minute, are

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Speaker 4: all these monsters would come to life? And I'm gonna

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Speaker 4: have to kill them? And like this is actually creating

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Speaker 4: a problem and I probably shouldn't be doing this. So

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Speaker 4: the last Google search was me trying to figure out

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Speaker 4: if that's what happens, because I was like, I don't

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Speaker 4: want to finish this quest if I am just gonna

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Speaker 4: create more problems for myself. And I'm happy to say

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Speaker 4: that is not the case. Oh I've been I saw

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Speaker 4: I was already on the last one, but the last

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Speaker 4: one was like a three headed monster and I was like,

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Speaker 4: this is if he has to come to life. I'm

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Speaker 4: going to like lose so many materials.

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Speaker 2: I like, how you a hold up? Now? Do I

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Speaker 2: really help this motherfucker out just so I could fight

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Speaker 2: a fucking three headed Nah? Yeah, I like that when

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Speaker 2: you have those game instincts where you're like, wait a tick, yes,

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Speaker 2: am I the architect of my own fucking downfall right now? Yeah? Yeah? Yeah.

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Speaker 4: So it was really funny because I was like, what

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Speaker 4: is the last thing I go? And I was like, wow,

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Speaker 4: I really do know. I'm like, I've spent so much

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Speaker 4: of this game trying to avoid a lot of fighting,

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Speaker 4: which is hilarious because that's it either fighting or fucking wandering, right,

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Speaker 4: And I've been really enjoying the wandering because I noticed

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Speaker 4: that my anxiety goes up when I got to fight

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Speaker 4: a gang of fool.

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Speaker 2: Yeah for real, just like real life, you know.

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Speaker 4: Just like real life. So I've been trying to avoid

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Speaker 4: as much fighting if it's not necessary. So that's a

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Speaker 4: little insight because I feel like, you know, that's a

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Speaker 4: good game. But also there's hacks. Everybody knows.

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Speaker 5: Yeah.

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Speaker 1: Yeah, you like the idea of a monster who's obsessed

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Speaker 1: with monsters.

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Speaker 4: He's like so horny for monsters.

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Speaker 2: Yeah, I guess.

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Speaker 1: On one hand, that's like just a people person, yeah, exactly.

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Speaker 2: But with monsters, he's a monster monster. Yeah, he's a

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Speaker 2: monster's monster. You know, deep down, who's your monster's favorite monster?

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Speaker 4: Everybody's monster, got a favorite monster?

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Speaker 2: Who's your favorite monster?

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Speaker 4: Who's my favorite monster? Oh that's a good question. Oh,

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Speaker 4: like in real life?

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Speaker 2: Whatever? I mean, like what when I ask that question? What? What?

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Speaker 2: What comes up to the surface.

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Speaker 4: For I think Gordon Ramsey is my favorite monster? Oh shit,

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Speaker 4: that's he's a monster, but like he's a good monster.

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Speaker 4: He really does want perfection off a sandwich, and you're

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Speaker 4: just like, bro, what is your issue? But I get

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Speaker 4: it because sandwiches can be so delicious if they're made.

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Speaker 2: Right right on second that I used to be a

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Speaker 2: PA and like worked on Hell's kitchen and he changed

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Speaker 2: the craft services company and catering for the crew because

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Speaker 2: he said the food will isn't good enough and and

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Speaker 2: like that's wild when you have somebody like take up

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Speaker 2: for the crew to be like the fuck is this

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Speaker 2: grilled cheese?

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Speaker 6: Na?

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Speaker 2: Then the next day a new fucking catering company was

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Speaker 2: in like making fucking like like ribbis and ship. Hell,

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Speaker 2: he is a monster on behalf of the people.

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Speaker 4: He's That's why that's why I like what he does absolutely,

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Speaker 4: but also he could be a monster of the crows,

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Speaker 4: so he also he also made some motherfuckers feel tiny

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Speaker 4: on that set. I'm not gonna I believe that. But

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Speaker 4: that's the thing is like, no monster is going to

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Speaker 4: be perfect, no monsters.

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Speaker 2: It cuts both ways. It definitely cuts absolutely.

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Speaker 4: So that's why he's my favorite monster because he's still

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Speaker 4: a monster at the end of the day. But when

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Speaker 4: he does some shit, right, you're like, yeah.

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Speaker 2: Thank you for this, thank you, Yeah, exactly do.

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Speaker 4: You have a favorite monster?

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Speaker 2: Jack? Thank you for asking? Ellen degenerous.

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Speaker 1: It's the it's the toothpick thing, right, is the creativity

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Speaker 1: of the toothpick thing, Like she would hide toothpicks around

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Speaker 1: just to see if like her cleaning. It's just like

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Speaker 1: such dedication to Minutia to like having the terror of

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Speaker 1: working for her pervade every like square inch of her home.

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Speaker 1: He's really like an amazing level of dedication.

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Speaker 4: That's true. What about this new Jimmy Fallon, Uh, jim.

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Speaker 1: Want more because he's like kind of we're just finding out.

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Speaker 1: The details are a little bit sketchy, he's definitely stress.

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Speaker 2: Yeah, but it's just he seems a little inconsistent.

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Speaker 7: Yes, it seems like like sometimes he's like they're like

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Speaker 7: he's so fun, and then other times they're like, it's

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Speaker 7: a bad Jimmy day. Yeah, he's a drunk today, right,

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Speaker 7: might be a little bit drunk today.

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Speaker 4: Yeah.

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Speaker 2: I just like that they had the phrase we're up

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Speaker 2: against it, that was the code word. I did not

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Speaker 2: appreciate that part.

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Speaker 1: There's there's no article on Vulture about how the Fallon

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Speaker 1: is like a bad place to work, like really bad

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Speaker 1: and toxic and he is really rough, and they talk

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Speaker 1: about how the inside the code phrases were really up

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Speaker 1: against it today, and that meant like Jimmy is being

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Speaker 1: a asshole. Yeah, everybody steer clear. But like that now

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Speaker 1: they can't use that phrase anymore.

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Speaker 2: They need to.

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Speaker 3: He's probably like thinking back and being like.

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Speaker 2: This motherfucker always said there, but that was like just

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Speaker 2: a thing they said. Yeah.

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Speaker 4: Now when people have like a food craving, like let's

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Speaker 4: go get cheese it, She's like, is that the new

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Speaker 4: code let's go get cheese it? The paranoia is gonna go?

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Speaker 2: Man, Okay, yeah, yeah, all right, what is uh Marcella,

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Speaker 2: what is something that you think is overrated?

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Speaker 4: You know, I couldn't think of something, maybe because I.

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Speaker 1: Got a little high, but yeah, you got a little

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Speaker 1: high high, Ladies and gentleman introducing a little bit high

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Speaker 1: Marsella for the first time.

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Speaker 2: She's never been a little bit.

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Speaker 4: Of high on our podcast, on anyone's podcast. Okay, I

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Speaker 4: trust you, guys.

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Speaker 2: Yeah, I saw that.

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Speaker 4: I thought there was not going to be a guest host.

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Speaker 4: I was like, you know what, I can get a

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Speaker 4: little high. I read the comments. People get mad and

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Speaker 4: I'm so mean to Jack and I know when I'm

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Speaker 4: a little high, I'm a little more.

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Speaker 2: I like that, Jackie. It's all good.

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Speaker 4: I love how I loved Jack's like you nice to

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Speaker 4: mar Solo when she's mean to me. Guys, it's okay, Yeah,

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Speaker 4: I mean a lot of and you know what's funny

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Speaker 4: is a lot of guys don't understand it too. There's

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Speaker 4: a comic who's like, has a little crush on me,

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Speaker 4: and I'm just very mean to him. I'm very yeah,

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Speaker 4: and I really give it to him more because I

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Speaker 4: know he really enjoys it. And I'm waiting for him.

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Speaker 4: I'm waiting for him to be like Marcella, why are

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Speaker 4: you so mean? And I can't wait to be like,

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Speaker 4: stop asking me why I'm so mean? And ask yourself

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Speaker 4: why you like it? You bitch? Oh that's going to

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Speaker 4: be a moment when he when I have that exchange waiting.

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Speaker 4: I know it's gonna have one day because this is

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Speaker 4: such a.

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Speaker 2: Loaded to me.

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Speaker 4: Why do you like it?

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Speaker 2: You like?

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Speaker 4: Yeah, that's the real question. What don't your mom do

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Speaker 4: to you?

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Speaker 3: Bro?

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Speaker 4: That's what I want to know.

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Speaker 2: What didn't you do? You little pain hog?

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Speaker 4: So yeah, I'm a little high. So I'm a little

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Speaker 4: I'm a little more fun and a little more rambling.

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Speaker 4: But it'll be worth it, guys. So, like I just

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Speaker 4: showed you, but overed underrated. I couldn't think of something, but

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Speaker 4: so I decided to google things like what did people

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Speaker 4: find overrated?

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Speaker 2: Because I was like, there you go.

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Speaker 4: This is because it's all it's all opinion. So the

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Speaker 4: top three things in the first three articles. The number

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Speaker 4: one thing one bitch wrote Bacon overrated. It is overrated? Okay,

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Speaker 4: so I already know the bitch has no taste.

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Speaker 1: Like, I also feel like you're about to out a

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Speaker 1: bunch of our former guests because it's like what if

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Speaker 1: you well, what if you like named a bunch of

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Speaker 1: like other people underrated and they were just like googling,

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Speaker 1: like I don't have a pains are overrated.

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Speaker 4: That's probably true. Think about that. You're totally right. But bacon,

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Speaker 4: come on, Yeah, it's simple meat. It's so good.

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Speaker 2: I think we've said this in the in the past.

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Speaker 2: We're like, it's properly rated. I get like ten years

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Speaker 2: ago we were doing too much.

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Speaker 1: It was o debates, overrated by some people who are

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Speaker 1: not worth paying attention to. Nobody who are bacon people. Yeah,

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Speaker 1: but like who gives a fuck about them? Like let

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Speaker 1: them have their weird little thing.

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Speaker 2: Yeah, go to the like as they say, it's like

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Speaker 2: the fucking heart Attack Cafe or whatever the fuck it's called,

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Speaker 2: where like everything is bacon. Like I get it, we

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Speaker 2: get it, but like you don't. Don't you gotta hate

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Speaker 2: on it?

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Speaker 4: Yeah, it's so tasty, it's so good good.

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Speaker 1: What else is when you find yourself being like, uh,

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Speaker 1: like I don't even really like this thing that's fucking

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Speaker 1: delicious and like makes my body like involuntarily do things

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Speaker 1: like water just pour out of.

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Speaker 4: My mouth when oh my god, that's.

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Speaker 1: But when that's your take, like you're you're working too

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Speaker 1: hard to have a take exactly.

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Speaker 4: I also just you know, it's good when religions are

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Speaker 4: like you cannot have it, like you know that shit.

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Speaker 4: It was good man. Ready here So another okay, another article.

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Speaker 4: I'm not going to name these people because they're all weirdos.

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Speaker 4: But another person they're article and her number one choice

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Speaker 4: was clubbing, club going out clubbing, and it was just

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Speaker 4: like you loser, bitch, like, stop imposing your introverted lifestyle

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Speaker 4: on people who enjoy being outside.

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Speaker 2: When was the last time you went to the club, though,

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Speaker 2: more so you go to the club.

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Speaker 4: Well, because of my foot injury, it has been few

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Speaker 4: and far between, but I will say like two weeks ago.

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Speaker 4: I think it was like my birthday party weekend, so

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Speaker 4: it was what middle of August, So yeah, like a

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Speaker 4: couple of weeks ago without and I because my foot injury,

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Speaker 4: couldn't really do much. But yeah, I took my boyfriend

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Speaker 4: to this place and met so called crocodile. It's like

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Speaker 4: this old ass like it is a wedding reception without

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Speaker 4: the family. It is so fun. There's like no drinks

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Speaker 4: on the dance floor. They encourage people to dress up.

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Speaker 4: There is a strict dress code and not like not

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Speaker 4: on some like racist dress code on some like don't

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Speaker 4: come in here, sloppy bro, Like guys have to have

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Speaker 4: their shirts buttoned up if they wear a button up,

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Speaker 4: like you cannot have a little like tank top showing underneath.

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Speaker 4: Like they're very much like noah, bro, We're here to

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Speaker 4: dance and drink and have a good time and respect everybody.

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Speaker 4: And they're on it. Like I saw them go up

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Speaker 4: to some guy, some young dude, because he thought he

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Speaker 4: could get away with whatever. He was dressed up really cute,

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Speaker 4: but he unbuttoned his shirt to like show off, and

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Speaker 4: dudes came up and were like, you need to button

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Speaker 4: your shirt back up, bro, And I.

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Speaker 6: Loved it because I was like, yeah, I got dressed up.

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Speaker 6: You should be dressed up too. Couples, like seventy year

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Speaker 6: old couples come in there dressed matching and dance the

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Speaker 6: night away. Like I love going out dancing, and that's

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Speaker 6: maybe that doesn't fall under clubbing, but there are there

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Speaker 6: are places to go out and have a good time

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Speaker 6: and dance and enjoy yourself.

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Speaker 4: And I hate when people are like clubbing is so lame. Like, girl,

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Speaker 4: you just don't like to drink and be out and

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Speaker 4: it's loud and you're probably neurodivergent. You can't handle all

351
00:17:10,800 --> 00:17:13,480
Speaker 4: the fucking sensory overload. Shit, that's you might be.

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Speaker 2: Going to the wrong clothes.

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Speaker 1: Like like this, this shit sounds so fun. We have

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Speaker 1: another guest talk about like going to like there was

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Speaker 1: like a chandelier room where they were like singing Elvis

356
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Speaker 1: covers or some shit like just like go find a

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Speaker 1: weird club to find the club.

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Speaker 4: Yes, find the club that works for you, but don't

359
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Speaker 4: shit on clubbing. Come on Jersey Shore shit. I get

360
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Speaker 4: like you don't want to be around that. I understand,

361
00:17:38,840 --> 00:17:41,160
Speaker 4: Like sure, you know there's so many different.

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Speaker 2: What about Bottle Wars. Did y'all see that clip over

363
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Speaker 2: the weekend of the bottle warship that was going on.

364
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Speaker 2: I know, like a Houston nightclub. It was like New

365
00:17:47,800 --> 00:17:50,679
Speaker 2: York versus Baltimore. Bottle It's like this ship you've been

366
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Speaker 2: doing for a while. You just start you just start

367
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Speaker 2: emptying bottles onto the floor for the flex. Oh god,

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Speaker 2: I'd be like dumping like six thousand dollars with their liquor,

369
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Speaker 2: like onto the floor. Yeah, fru it's it's the flex,

370
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Speaker 2: you know what I mean. It manifests in different ways.

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Speaker 2: But I'm at the Crocodile's website. I'm looking at they

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Speaker 2: have a whole dress code sub page. Like so women,

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Speaker 2: no sports attire, no T shirts, no sweats, no baseball caps, beanies,

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Speaker 2: no overly revealing clothing. I like that They're like, we're

375
00:18:20,520 --> 00:18:25,159
Speaker 2: modest men. Collar dress shirts required, no sports attire, no

376
00:18:25,240 --> 00:18:28,040
Speaker 2: T shirts, no longer shortsleeve shirts, no Henley's. No shallow

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00:18:28,160 --> 00:18:31,520
Speaker 2: V necks, oh henley stylent, shallow V necks okay, No

378
00:18:31,640 --> 00:18:36,080
Speaker 2: hoodies okay, shallow nice dress sweaters okay, No, I can't

379
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Speaker 2: get away.

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Speaker 1: With my ship that I try and pull off with

381
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Speaker 1: my V neck J deep like where I'm flirting with

382
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Speaker 1: exposing navel.

383
00:18:45,720 --> 00:18:46,000
Speaker 4: Yeah.

384
00:18:47,040 --> 00:18:49,800
Speaker 2: No sweats, no baggy loose clothing. No club colors. What

385
00:18:49,840 --> 00:18:50,760
Speaker 2: are club colors?

386
00:18:51,240 --> 00:18:53,800
Speaker 4: Are they trying to club colors? Like gang colors? Like

387
00:18:53,880 --> 00:18:56,159
Speaker 4: red white, I mean red, I mean red blue?

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00:18:56,880 --> 00:19:00,680
Speaker 2: Yeah? Whatever else? No sandals, slip flops, no red or.

389
00:19:00,680 --> 00:19:04,080
Speaker 5: Blue or you just can't We're all red or it

390
00:19:04,200 --> 00:19:05,840
Speaker 5: depends on the red and the blue.

391
00:19:05,880 --> 00:19:07,200
Speaker 4: You can usually tell.

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00:19:07,320 --> 00:19:09,040
Speaker 2: Right right right, Yeah, if you don't have like a

393
00:19:09,040 --> 00:19:11,560
Speaker 2: flag coming out of your pocket with your cool Yeah.

394
00:19:11,720 --> 00:19:14,479
Speaker 2: Shoot on, then maybe we have a problem. Wait, but

395
00:19:14,680 --> 00:19:17,000
Speaker 2: you're saying this isn't on some like racist shit, because

396
00:19:17,000 --> 00:19:19,119
Speaker 2: it's very much like they just want or they just

397
00:19:19,119 --> 00:19:21,159
Speaker 2: want everybody to come in, like it's like it's a

398
00:19:21,240 --> 00:19:21,919
Speaker 2: nice place.

399
00:19:22,119 --> 00:19:24,000
Speaker 4: Like it's a nice place. I'm telling you that's not

400
00:19:24,080 --> 00:19:27,120
Speaker 4: they're they're totally like trust me, Hood motherfuckers show up.

401
00:19:28,119 --> 00:19:30,320
Speaker 2: But there they are, but they're in their place.

402
00:19:30,200 --> 00:19:31,360
Speaker 4: They're in their player fit.

403
00:19:31,560 --> 00:19:32,440
Speaker 2: Yeah, that's what I'm saying.

404
00:19:32,560 --> 00:19:36,080
Speaker 4: It's like it is. It seems like it off top,

405
00:19:36,160 --> 00:19:38,119
Speaker 4: like I get it, but when you're reading it, but

406
00:19:38,119 --> 00:19:39,959
Speaker 4: I'm telling you, it's not that they're like no, no, no,

407
00:19:40,000 --> 00:19:41,440
Speaker 4: you can be Hood is fucking here, and you can

408
00:19:41,520 --> 00:19:45,280
Speaker 4: like be annoying and all that shit, but just be cute.

409
00:19:45,720 --> 00:19:48,000
Speaker 4: Don't be a messy on the dance floor. You can't.

410
00:19:48,040 --> 00:19:49,720
Speaker 4: Like they really are just like no, we're just here.

411
00:19:49,720 --> 00:19:51,959
Speaker 4: It's like family, Like it's like a family function.

412
00:19:52,720 --> 00:19:57,000
Speaker 2: I love it. Wow, interior does look like a time capsule.

413
00:19:57,160 --> 00:19:59,480
Speaker 4: It is, dude. It's so fun. If you're ever in

414
00:19:59,480 --> 00:20:01,080
Speaker 4: the Central and you want to go out, especially on

415
00:20:01,160 --> 00:20:03,400
Speaker 4: Saturday night, Friday nights are pretty empty, but Satura nights

416
00:20:03,400 --> 00:20:07,639
Speaker 4: are always popping. They're so and it's the music is insane. Yeah, wow,

417
00:20:08,080 --> 00:20:09,200
Speaker 4: music is insane.

418
00:20:09,800 --> 00:20:12,240
Speaker 2: My friends like it looks like it's like a fucking

419
00:20:12,280 --> 00:20:13,880
Speaker 2: scene in Carlito's.

420
00:20:13,320 --> 00:20:16,159
Speaker 4: Way or yes, dude, yeah, that's what I'm saying. When

421
00:20:16,200 --> 00:20:18,760
Speaker 4: you walk in there, you want to look cute, right

422
00:20:18,880 --> 00:20:20,760
Speaker 4: right right, they want you to match the vibe.

423
00:20:20,960 --> 00:20:26,080
Speaker 1: It's like Cardos Way mixed with a laser tag like yeah, yeah,

424
00:20:26,840 --> 00:20:27,400
Speaker 1: that shit.

425
00:20:27,240 --> 00:20:29,240
Speaker 4: It's cute. So the music, like the other day, it

426
00:20:29,320 --> 00:20:33,840
Speaker 4: was like it went from like suave to like eminem

427
00:20:34,440 --> 00:20:38,040
Speaker 4: something like the music is insane. It's silly. It's just

428
00:20:38,119 --> 00:20:40,760
Speaker 4: you're there for a silly time, right right. And that's

429
00:20:40,760 --> 00:20:43,000
Speaker 4: the other thing. That's why it's like even the music

430
00:20:43,080 --> 00:20:45,120
Speaker 4: is like kind of corny, but like in that fun

431
00:20:45,160 --> 00:20:47,720
Speaker 4: way where we're like we're never in high school. Yeah, yeah,

432
00:20:47,760 --> 00:20:49,240
Speaker 4: you know you're at a party. You're just like, you know,

433
00:20:49,280 --> 00:20:51,080
Speaker 4: you're just gonna be kissing tonight. That's it.

434
00:20:51,320 --> 00:20:53,159
Speaker 2: Wow, shout out crocodile.

435
00:20:53,480 --> 00:20:55,480
Speaker 4: I love crocodiles. It's the funnest all right.

436
00:20:55,560 --> 00:20:59,679
Speaker 2: So finding a weird club is under it, like cool.

437
00:20:59,600 --> 00:21:02,840
Speaker 4: Yeah, she was saying it was overrated, but it's like, now, man,

438
00:21:02,920 --> 00:21:05,239
Speaker 4: find the clubs that work for you. And then the

439
00:21:05,280 --> 00:21:10,520
Speaker 4: final article that I saw that the I've only gave

440
00:21:10,560 --> 00:21:12,480
Speaker 4: the first one for the other two articles. I got

441
00:21:12,480 --> 00:21:14,840
Speaker 4: to give the two on this one because it's really

442
00:21:14,880 --> 00:21:17,879
Speaker 4: funny how they go hand in hand. This guy's idea

443
00:21:18,040 --> 00:21:20,760
Speaker 4: of what's overrated. The first one is a formal education,

444
00:21:21,000 --> 00:21:24,360
Speaker 4: which I agree, But then the second one is science.

445
00:21:26,680 --> 00:21:33,040
Speaker 1: This guy's got some opinions on he's done some research,

446
00:21:33,200 --> 00:21:35,760
Speaker 1: some of his own research on the vaccine. I don't

447
00:21:35,800 --> 00:21:37,200
Speaker 1: think he's a fan of Fauci.

448
00:21:37,359 --> 00:21:39,600
Speaker 4: Yeah, because it's like, oh yeah, formal education. I agree.

449
00:21:39,640 --> 00:21:42,639
Speaker 4: Not everybody should be required to fucking for any fucking

450
00:21:42,720 --> 00:21:46,400
Speaker 4: job to have a fucking AABA any of that shit.

451
00:21:46,440 --> 00:21:48,760
Speaker 4: There's plenty of jobs of don't eat that shit. And

452
00:21:48,760 --> 00:21:50,320
Speaker 4: then he said science, and I was like, bro, I'm

453
00:21:50,320 --> 00:21:53,639
Speaker 4: clapping out, like we are not agreeing on the same

454
00:21:53,720 --> 00:21:54,720
Speaker 4: on the same number one.

455
00:21:55,000 --> 00:21:57,359
Speaker 2: He's like, yeah, wh I got my master's degree on YouTube,

456
00:21:57,480 --> 00:21:59,760
Speaker 2: you know what I mean. That's why I can go

457
00:21:59,840 --> 00:22:01,840
Speaker 2: to toll with any person who went to a brick

458
00:22:01,880 --> 00:22:05,720
Speaker 2: and mortar college Like okay, sure, okay.

459
00:22:05,119 --> 00:22:09,160
Speaker 1: Actually got a Bachelor of Science from Praguer University, from

460
00:22:09,480 --> 00:22:13,800
Speaker 1: which that's not usually there especial price based it's all

461
00:22:13,800 --> 00:22:14,639
Speaker 1: faith based science.

462
00:22:15,160 --> 00:22:18,040
Speaker 4: I got mine at university.

463
00:22:20,720 --> 00:22:29,760
Speaker 2: All sauce prag Old World style degree. All right, Uh, let's.

464
00:22:29,520 --> 00:22:33,120
Speaker 1: Take a quick break and we'll come back and we'll

465
00:22:33,200 --> 00:22:35,119
Speaker 1: check in with Donald Trump. We like to do it

466
00:22:35,160 --> 00:22:36,920
Speaker 1: once a week, just make sure he's doing all right.

467
00:22:37,119 --> 00:22:51,960
Speaker 1: We'll be right back and we're back, and we were

468
00:22:52,000 --> 00:22:53,800
Speaker 1: like just checking with Donald Trump every once in a while.

469
00:22:53,920 --> 00:22:57,960
Speaker 2: See, you take a lot about him.

470
00:22:58,000 --> 00:23:00,720
Speaker 1: But what's he have to say about what he's up

471
00:23:00,720 --> 00:23:01,359
Speaker 1: two miles?

472
00:23:01,520 --> 00:23:05,320
Speaker 2: Oh, just just quick checking for starters. The judge in

473
00:23:05,359 --> 00:23:10,280
Speaker 2: his second Eging Carrol defamation case, he's already been like, yo, man,

474
00:23:10,560 --> 00:23:13,680
Speaker 2: you're you're liable, okay, So the only thing lal left

475
00:23:13,720 --> 00:23:16,159
Speaker 2: to do is for the jury to just get together

476
00:23:16,240 --> 00:23:18,879
Speaker 2: in January and just figure out how much you owe

477
00:23:19,000 --> 00:23:21,480
Speaker 2: Eging Carrol. This isn't about whether or not you are

478
00:23:21,520 --> 00:23:25,119
Speaker 2: guilty or not, like we've we've determined that. So this

479
00:23:25,240 --> 00:23:27,600
Speaker 2: jury will get together just to figure out to put

480
00:23:27,600 --> 00:23:29,720
Speaker 2: a price tag on the fuckery. Mind you that he

481
00:23:29,760 --> 00:23:31,720
Speaker 2: already has to pay her five million dollars from the

482
00:23:31,720 --> 00:23:34,679
Speaker 2: previous judgment, and Trump was trying to get the judge

483
00:23:34,680 --> 00:23:36,760
Speaker 2: to put a cap on the damages and be like, well,

484
00:23:36,800 --> 00:23:38,440
Speaker 2: I've already paid five The judge.

485
00:23:38,200 --> 00:23:41,280
Speaker 1: Like nah, nah, seems like you're pretty rich. You keep

486
00:23:41,359 --> 00:23:43,840
Speaker 1: saying that it's kind of your whole thing, right.

487
00:23:43,920 --> 00:23:45,800
Speaker 2: Yeah, you got it, you got it like that right here,

488
00:23:45,880 --> 00:23:48,800
Speaker 2: that's another ten million, right, that's fine. Just sell a

489
00:23:48,800 --> 00:23:50,919
Speaker 2: couple more mugs with your with your mugshot on it.

490
00:23:51,600 --> 00:23:55,240
Speaker 4: But anyway, that's like that classic like a young rapper

491
00:23:55,560 --> 00:23:58,320
Speaker 4: has way too much shit on his ig and then

492
00:23:58,440 --> 00:24:00,760
Speaker 4: he fucking gets has to go to court for some

493
00:24:00,800 --> 00:24:02,760
Speaker 4: ship and they just pull up his ig like, bro,

494
00:24:02,920 --> 00:24:06,159
Speaker 4: look at all this money and drugs, like guns and ship. Bro,

495
00:24:06,240 --> 00:24:09,119
Speaker 4: what are you doing? Stop putting your own ship on blast?

496
00:24:10,119 --> 00:24:13,479
Speaker 2: I have nothing, you're honor please, Yeah, they're like you

497
00:24:13,520 --> 00:24:16,560
Speaker 2: were just you just bought a fucking three hundred thousand

498
00:24:16,560 --> 00:24:19,399
Speaker 2: dollars chain with your face made of diamonds.

499
00:24:19,240 --> 00:24:21,600
Speaker 4: Right right, just about a new weave for sure.

500
00:24:22,800 --> 00:24:27,600
Speaker 1: That's my character has done tried the that's a character,

501
00:24:28,200 --> 00:24:30,800
Speaker 1: that's a good idea elected president?

502
00:24:31,080 --> 00:24:32,920
Speaker 2: So who is stupid?

503
00:24:32,960 --> 00:24:36,080
Speaker 1: Now? You elected a w character president?

504
00:24:36,440 --> 00:24:37,160
Speaker 2: Dumbass?

505
00:24:37,680 --> 00:24:39,480
Speaker 4: That is such an actually broke.

506
00:24:39,280 --> 00:24:42,920
Speaker 2: That's yeah, that's wearing his wife's purse in the airport. Yeah,

507
00:24:43,119 --> 00:24:46,680
Speaker 2: you know, they're like, that's a character, sir. Okay, although

508
00:24:46,720 --> 00:24:48,760
Speaker 2: Trump he probably looked good with a lace front, though

509
00:24:49,119 --> 00:24:50,880
Speaker 2: he probably I'm surprised he.

510
00:24:50,840 --> 00:24:53,240
Speaker 4: Does look good with the lace front. That's why he's wearing, right, I.

511
00:24:53,160 --> 00:24:57,159
Speaker 2: Mean, I mean, he could go harder, but hey, I

512
00:24:57,160 --> 00:25:00,600
Speaker 2: get he only trusts him to apply it. But so anyway,

513
00:25:00,760 --> 00:25:03,600
Speaker 2: when the next thing that happened was his document's case, right,

514
00:25:03,920 --> 00:25:05,840
Speaker 2: Trump seems to be at the end of his rope

515
00:25:05,840 --> 00:25:08,360
Speaker 2: here in terms of like what his possible defense could

516
00:25:08,359 --> 00:25:11,760
Speaker 2: be because obviously this case isn't the most significant for

517
00:25:11,840 --> 00:25:13,800
Speaker 2: him from like a legal standpoint, like not like the

518
00:25:13,880 --> 00:25:16,560
Speaker 2: Rico case and shit, you know, or the other shit

519
00:25:16,600 --> 00:25:20,320
Speaker 2: happening in DC. But this, like it's clear now he

520
00:25:20,359 --> 00:25:23,960
Speaker 2: doesn't really have like an articulated defense because he keeps

521
00:25:23,960 --> 00:25:26,919
Speaker 2: saying the same thing over and over. He was on

522
00:25:26,960 --> 00:25:29,320
Speaker 2: a Hugh Huge show and he was talking about how

523
00:25:29,359 --> 00:25:32,240
Speaker 2: like I'll take the stand, I'll take the stand, and

524
00:25:32,800 --> 00:25:37,040
Speaker 2: also about how he's protected under the Presidential Records Act

525
00:25:37,119 --> 00:25:40,200
Speaker 2: spoiler alert, he is not. But I just just listen

526
00:25:40,280 --> 00:25:43,800
Speaker 2: to this now of him just going yammering on about

527
00:25:43,800 --> 00:25:46,080
Speaker 2: how he's all good in this case, because it doesn't matter.

528
00:25:46,440 --> 00:25:48,600
Speaker 2: Did you direct anyone to move the boxes?

529
00:25:49,280 --> 00:25:52,480
Speaker 4: Did you tell anyone to move the boxes out about anything?

530
00:25:52,760 --> 00:25:54,919
Speaker 8: You know why I don't talk about how I'm allowed

531
00:25:54,960 --> 00:25:58,160
Speaker 8: to do whatever I want. I come under the presidential records. Ack,

532
00:25:58,440 --> 00:26:00,520
Speaker 8: I'm not telling you. You know, every time I told

533
00:26:00,560 --> 00:26:02,400
Speaker 8: to you, oh, I have a breaking story, you don't

534
00:26:02,400 --> 00:26:05,840
Speaker 8: have any story. I come under the presidential records, Zack.

535
00:26:06,240 --> 00:26:09,800
Speaker 8: I'm allowed to do everything I did.

536
00:26:10,240 --> 00:26:13,600
Speaker 2: So who is Hugh Hewitt? Hugh Hewitt is like one

537
00:26:13,640 --> 00:26:17,040
Speaker 2: of these like goony right wing like radio dudes, like

538
00:26:17,080 --> 00:26:21,120
Speaker 2: commentator guys. He's not he's not a he's he's but he's.

539
00:26:20,960 --> 00:26:24,240
Speaker 1: Like right wing. He's party right wing that Trump thinks

540
00:26:24,320 --> 00:26:25,120
Speaker 1: is against him.

541
00:26:25,440 --> 00:26:27,600
Speaker 2: Yeah, but he'll also you know, he'll also you know,

542
00:26:28,280 --> 00:26:31,919
Speaker 2: like vacillate between reasonable conservative and then just you know,

543
00:26:32,040 --> 00:26:34,840
Speaker 2: full throat boot licking. So you know it.

544
00:26:35,280 --> 00:26:38,200
Speaker 1: He loves this ship so much. Trump like he loves

545
00:26:38,280 --> 00:26:40,960
Speaker 1: going on a show and being like you don't got ship,

546
00:26:41,240 --> 00:26:44,560
Speaker 1: You're fucking stupid.

547
00:26:43,600 --> 00:26:47,359
Speaker 4: I look at Yes, everything I did, I did it

548
00:26:47,400 --> 00:26:50,119
Speaker 4: because I could do it. But I definitely did it.

549
00:26:50,720 --> 00:26:51,720
Speaker 5: Shut the fuck up.

550
00:26:51,800 --> 00:26:55,240
Speaker 1: But then if I have this interpretation of the law incorrect,

551
00:26:55,280 --> 00:26:59,120
Speaker 1: I'm totally fucked. But yeah, I did it, and there's

552
00:26:59,160 --> 00:27:02,000
Speaker 1: nothing you could do because I'm bulletproof.

553
00:27:02,240 --> 00:27:02,880
Speaker 2: Baby.

554
00:27:03,320 --> 00:27:06,720
Speaker 4: It's really funny, like you have nothing, but I did it.

555
00:27:06,880 --> 00:27:11,520
Speaker 9: You do that, but I can do that is the thing.

556
00:27:12,040 --> 00:27:14,800
Speaker 9: But I'm not ship but I'm not telling you. That's

557
00:27:14,800 --> 00:27:19,320
Speaker 9: how he also saying, here, but I did that. I'm

558
00:27:20,920 --> 00:27:21,280
Speaker 9: thank you.

559
00:27:21,320 --> 00:27:22,440
Speaker 2: Where's usher until that?

560
00:27:22,440 --> 00:27:24,359
Speaker 1: Because it would be good for your ratings?

561
00:27:24,560 --> 00:27:27,479
Speaker 2: Well then basically he goes on again and then Hugh

562
00:27:27,520 --> 00:27:30,360
Speaker 2: Hewitt's like, all right, hypothetical, you're on the stand, what's

563
00:27:30,400 --> 00:27:31,720
Speaker 2: you gonna say?

564
00:27:32,400 --> 00:27:33,640
Speaker 4: Oh my god, are you serious?

565
00:27:33,960 --> 00:27:34,840
Speaker 2: I think that?

566
00:27:35,720 --> 00:27:38,080
Speaker 4: Okay, if you do and they ask you on on

567
00:27:38,119 --> 00:27:40,640
Speaker 4: the stand, did you order anyone to move boxes?

568
00:27:40,720 --> 00:27:41,680
Speaker 2: How will you answer?

569
00:27:42,480 --> 00:27:45,560
Speaker 8: I'm not answering that question for you. But I'm totally

570
00:27:45,560 --> 00:27:51,040
Speaker 8: covered under the law. Okay, Presidential Records Act. Just read it,

571
00:27:51,480 --> 00:27:54,000
Speaker 8: you take a look at it. I'm totally covered under

572
00:27:54,040 --> 00:27:54,400
Speaker 8: the law.

573
00:27:54,760 --> 00:27:58,639
Speaker 2: Spoiler alert, he is, in fact, not fucking covered under

574
00:27:58,680 --> 00:28:02,240
Speaker 2: the Presidential reck Act. Just read it. Just read it.

575
00:28:02,800 --> 00:28:07,160
Speaker 2: I would any asshole with Google, including myself can look

576
00:28:07,240 --> 00:28:10,080
Speaker 2: up the Presidential Records Act, and it states that all

577
00:28:10,119 --> 00:28:14,879
Speaker 2: White House records related to government business are public property

578
00:28:15,200 --> 00:28:18,280
Speaker 2: and that when the president and vice president leave office,

579
00:28:18,800 --> 00:28:23,760
Speaker 2: those documents must be transferred to the National Archives for preservation.

580
00:28:24,359 --> 00:28:26,960
Speaker 2: So there's not a single thing under there that is

581
00:28:27,000 --> 00:28:29,520
Speaker 2: being like, just read it. I'm covered. It's like, you're not,

582
00:28:29,600 --> 00:28:31,119
Speaker 2: but you're just trying to do that thing where you

583
00:28:31,160 --> 00:28:32,919
Speaker 2: think if you say that shit over and over and

584
00:28:32,960 --> 00:28:35,240
Speaker 2: over again that I'm sure maybe some of the people

585
00:28:35,280 --> 00:28:37,679
Speaker 2: listening to that interview might believe that, but when it

586
00:28:37,720 --> 00:28:40,680
Speaker 2: goes to when it's actually presented, they're gonna be like, sir,

587
00:28:40,920 --> 00:28:43,200
Speaker 2: this is it doesn't say anything about that shit here

588
00:28:43,760 --> 00:28:44,120
Speaker 2: at all.

589
00:28:44,880 --> 00:28:45,880
Speaker 3: And he's he's.

590
00:28:45,760 --> 00:28:49,320
Speaker 1: Surrounded by lawyers who are on his payroll, and he's

591
00:28:49,360 --> 00:28:51,320
Speaker 1: fired all the ones who tell him the stuff that

592
00:28:51,360 --> 00:28:55,440
Speaker 1: he doesn't want to hear. Yeah, so he's just strong

593
00:28:55,520 --> 00:28:57,720
Speaker 1: and wrong, baby, strong and wrong.

594
00:28:58,120 --> 00:29:01,880
Speaker 2: I bet his lawyers like, we're up against it today. Folks,

595
00:29:02,120 --> 00:29:05,640
Speaker 2: did you hear that interview. I'm covered, I'm covered. It's like,

596
00:29:05,640 --> 00:29:07,160
Speaker 2: I don't what is he even talking about?

597
00:29:07,280 --> 00:29:09,200
Speaker 4: So if he did it, it doesn't matter. He did it,

598
00:29:09,240 --> 00:29:10,480
Speaker 4: and he's covered out.

599
00:29:11,160 --> 00:29:14,160
Speaker 2: And also the thing is this guy he always he's

600
00:29:14,200 --> 00:29:16,600
Speaker 2: always pump faking like he'll take the stand. He says

601
00:29:16,640 --> 00:29:19,520
Speaker 2: that all the time. He's not I'll take the stand,

602
00:29:19,520 --> 00:29:23,680
Speaker 2: it doesn't matter, but he never does. So again it's

603
00:29:23,800 --> 00:29:25,920
Speaker 2: this is just where he's at. He's only got a

604
00:29:25,920 --> 00:29:28,080
Speaker 2: bunch of pump faking left and I don't know where

605
00:29:28,080 --> 00:29:30,560
Speaker 2: it's gonna end up. But hey, you wish i'd take

606
00:29:30,560 --> 00:29:33,400
Speaker 2: the stand? Be good for your ratings? What would you say?

607
00:29:33,600 --> 00:29:35,880
Speaker 2: I'm not telling you, but I'm good under the law,

608
00:29:35,920 --> 00:29:38,320
Speaker 2: I could do whatever I want. That's essentially your answer.

609
00:29:38,560 --> 00:29:42,400
Speaker 4: Yeah, right, yes I did it, but I'm protected, right, judge,

610
00:29:42,480 --> 00:29:43,680
Speaker 4: I'm protected.

611
00:29:43,480 --> 00:29:46,800
Speaker 2: Right, I'll protect you good that I could do anything.

612
00:29:46,840 --> 00:29:47,840
Speaker 4: Were good?

613
00:29:47,880 --> 00:29:48,040
Speaker 2: Here?

614
00:29:48,440 --> 00:29:50,560
Speaker 1: We good here, He's gonna do that. That's what he's

615
00:29:50,560 --> 00:29:54,400
Speaker 1: gonna sit down and be like presidential records act. We

616
00:29:54,800 --> 00:29:57,000
Speaker 1: were good here, we get here, I'm covered and got

617
00:29:57,000 --> 00:29:57,560
Speaker 1: a tea time.

618
00:29:57,800 --> 00:29:59,480
Speaker 4: And I think that if you took the stand, he

619
00:29:59,520 --> 00:30:02,120
Speaker 4: would because he he he either talks one in two ways.

620
00:30:02,160 --> 00:30:04,959
Speaker 4: He confidently speaks with a lot of hand gestures, or

621
00:30:05,000 --> 00:30:07,520
Speaker 4: he has both hands planted. What do you think his

622
00:30:07,560 --> 00:30:08,400
Speaker 4: strategy would be?

623
00:30:08,800 --> 00:30:11,000
Speaker 2: I don't know. If he's that I don't know, with

624
00:30:11,120 --> 00:30:13,040
Speaker 2: his back against the wall, I feel like he might

625
00:30:13,080 --> 00:30:16,080
Speaker 2: be energetic. But you think about remember that time, like

626
00:30:16,120 --> 00:30:19,480
Speaker 2: in the Egen Carrol depositions, when he's like, I don't

627
00:30:19,520 --> 00:30:21,880
Speaker 2: know her, and then he mistook her for his wife,

628
00:30:21,960 --> 00:30:25,120
Speaker 2: and oh my god, it's like, you never want this

629
00:30:25,200 --> 00:30:27,920
Speaker 2: dude even if he even if he is behaving, he's

630
00:30:27,960 --> 00:30:30,360
Speaker 2: gonna fucking self own somehow up there.

631
00:30:30,880 --> 00:30:31,920
Speaker 4: It's so wild.

632
00:30:33,080 --> 00:30:37,440
Speaker 2: Who's that wife? Before there? I am with my beautiful wife.

633
00:30:38,120 --> 00:30:43,120
Speaker 4: Beautiutiful, beautiful, beautiful wife that I went with sale and

634
00:30:43,840 --> 00:30:45,920
Speaker 4: gut that woman. I don't know her.

635
00:30:45,960 --> 00:30:51,480
Speaker 2: She's ugly, Carol. They're like, okay, so I'm no further questions, Yeah,

636
00:30:51,480 --> 00:30:52,120
Speaker 2: thank you.

637
00:30:51,920 --> 00:30:53,560
Speaker 4: No further answers, please.

638
00:30:58,040 --> 00:31:00,680
Speaker 2: For the answers, for the answers, you're honor. What is that?

639
00:31:01,760 --> 00:31:03,440
Speaker 4: No further answer answers?

640
00:31:03,560 --> 00:31:06,360
Speaker 2: So what the fuck does that mean? Yeah?

641
00:31:06,880 --> 00:31:09,000
Speaker 4: You got to name that the pod. No further an.

642
00:31:11,520 --> 00:31:15,280
Speaker 2: The trials of Donald J. Trump further answers. That's pretty good,

643
00:31:15,880 --> 00:31:16,240
Speaker 2: all right.

644
00:31:16,600 --> 00:31:19,320
Speaker 3: In other news, that's gonna be my new transition.

645
00:31:20,000 --> 00:31:23,080
Speaker 1: There's been there's been a lot of discussion lately about

646
00:31:23,240 --> 00:31:28,240
Speaker 1: AI replacing writers Taxi drivers. There's also a lot of

647
00:31:28,280 --> 00:31:33,360
Speaker 1: concern regarding whether or not AI should replace doctors, and

648
00:31:34,000 --> 00:31:38,240
Speaker 1: so there's been articles claiming that I can help the

649
00:31:38,320 --> 00:31:42,880
Speaker 1: healthcare industry, and that is absolutely true. Like there's been

650
00:31:43,040 --> 00:31:47,560
Speaker 1: articles that claim that like AI chatbots can help healthcare

651
00:31:47,760 --> 00:31:51,520
Speaker 1: like doctors with their bedside manner. There's ways that it

652
00:31:51,600 --> 00:31:56,160
Speaker 1: helps cut time with like finding data retrieval and like

653
00:31:56,320 --> 00:32:00,560
Speaker 1: big diagnostic things. Those are all true, but it's always

654
00:32:00,640 --> 00:32:05,760
Speaker 1: being framed as like replacing the doctors better than a

655
00:32:06,800 --> 00:32:09,960
Speaker 1: better than doctor, just like they want it to be

656
00:32:10,520 --> 00:32:11,360
Speaker 1: something that it's not.

657
00:32:11,720 --> 00:32:12,560
Speaker 2: They want it to be.

658
00:32:12,720 --> 00:32:17,440
Speaker 1: Robot doctor who's like, you know, just that's the only

659
00:32:17,520 --> 00:32:20,560
Speaker 1: person you deal with, and it's like definitely does not

660
00:32:20,720 --> 00:32:24,160
Speaker 1: work that well. Like for so, for instance, this one

661
00:32:24,200 --> 00:32:28,000
Speaker 1: of the studies, by the way, the methodology is comparing

662
00:32:28,160 --> 00:32:33,600
Speaker 1: chat GPT with like chat GPT responses to questions that

663
00:32:33,720 --> 00:32:39,440
Speaker 1: people posed in a ask docs subreddit with like what

664
00:32:39,480 --> 00:32:43,400
Speaker 1: the actual doctors in a subreddit said, and then being

665
00:32:43,480 --> 00:32:46,080
Speaker 1: like they actually like did better than the doctors and

666
00:32:46,520 --> 00:32:50,360
Speaker 1: on reddit, so I think they could replace.

667
00:32:50,000 --> 00:32:54,280
Speaker 2: Them like that, Wow, that's the low hanging ass fruit

668
00:32:54,360 --> 00:32:55,760
Speaker 2: right there to try and make your point.

669
00:32:56,360 --> 00:33:01,280
Speaker 1: Yeah, yeah, I mean I think that they're like CHGBT

670
00:33:01,320 --> 00:33:05,600
Speaker 1: is a good tool, Like it's a cool tool. It's

671
00:33:05,880 --> 00:33:09,760
Speaker 1: it's like they're trying to replace their like when Google,

672
00:33:09,880 --> 00:33:13,080
Speaker 1: if Google was invented and they were like, well, you

673
00:33:13,120 --> 00:33:17,120
Speaker 1: don't need lawyers anymore, you don't need doctors anymore because

674
00:33:17,160 --> 00:33:19,280
Speaker 1: all you need to do is google this shit, ask

675
00:33:19,280 --> 00:33:21,800
Speaker 1: a question. It's like, no, this is a good tool

676
00:33:22,120 --> 00:33:25,520
Speaker 1: for doctors. I want my doctor to google what I have,

677
00:33:25,760 --> 00:33:27,720
Speaker 1: but I don't want my doctor.

678
00:33:27,440 --> 00:33:31,480
Speaker 2: To be Google, to be Google exactly.

679
00:33:31,080 --> 00:33:34,720
Speaker 1: And I want my doctor to have some of their

680
00:33:34,880 --> 00:33:37,800
Speaker 1: energy saved up by using this language model to help

681
00:33:37,840 --> 00:33:41,760
Speaker 1: them like write emails that are clear and concise and

682
00:33:41,880 --> 00:33:44,680
Speaker 1: like convey the information that needs to be conveyed. I

683
00:33:44,720 --> 00:33:48,480
Speaker 1: don't need them to use this language model to replace

684
00:33:48,640 --> 00:33:52,920
Speaker 1: the doctor, which is just going to be a worse thing.

685
00:33:53,280 --> 00:33:56,720
Speaker 1: It's just going to create a thing, like a thing

686
00:33:56,800 --> 00:34:00,000
Speaker 1: that's harder to tell that you're being fucked over because

687
00:34:00,000 --> 00:34:03,640
Speaker 1: because they are able to like string together sentences that

688
00:34:03,720 --> 00:34:07,360
Speaker 1: make it sound like you're dealing with an actual healthcare professional,

689
00:34:07,720 --> 00:34:12,000
Speaker 1: but it's actually like a medical chatbot like there are

690
00:34:12,080 --> 00:34:15,680
Speaker 1: so they've already been testing this med palm two at

691
00:34:15,719 --> 00:34:19,240
Speaker 1: the Mayo Clinic, and like the way they write about

692
00:34:19,239 --> 00:34:22,800
Speaker 1: it is like, in almost every metric such as showing

693
00:34:22,840 --> 00:34:26,879
Speaker 1: evidence of reasoning, consensus supported answers, the med palm two

694
00:34:27,040 --> 00:34:30,120
Speaker 1: performed more or less as well as the actual doctors.

695
00:34:30,280 --> 00:34:34,359
Speaker 1: It's like, why it shouldn't be a fucking competition. Yeah,

696
00:34:34,600 --> 00:34:38,560
Speaker 1: it's insane to like think of it as a competition.

697
00:34:38,640 --> 00:34:40,800
Speaker 2: It's not. It's not supposed to be replacing them. It

698
00:34:40,840 --> 00:34:41,359
Speaker 2: should be.

699
00:34:41,960 --> 00:34:45,920
Speaker 1: Improving the quality of care that people get, which is

700
00:34:45,960 --> 00:34:49,480
Speaker 1: an actual problem that everybody like seems to acknowledge in

701
00:34:49,520 --> 00:34:53,320
Speaker 1: the United States. It's like really hard to get good

702
00:34:53,440 --> 00:34:56,200
Speaker 1: medical care. But it really feels like it's because of

703
00:34:56,239 --> 00:35:00,400
Speaker 1: the private equity ification of the US, like the fact

704
00:35:00,440 --> 00:35:03,719
Speaker 1: that the only thing that excites the people who make

705
00:35:03,920 --> 00:35:07,799
Speaker 1: the decisions at a high level is cutting costs and

706
00:35:07,840 --> 00:35:12,040
Speaker 1: like improving profit. And so their interpretation of AI is

707
00:35:12,080 --> 00:35:15,640
Speaker 1: not like, here's a good tool that will improve the product,

708
00:35:15,719 --> 00:35:17,759
Speaker 1: because they don't give a fuck about the product. All

709
00:35:17,800 --> 00:35:22,400
Speaker 1: they care about is finding ways to cut costs. And

710
00:35:22,440 --> 00:35:25,640
Speaker 1: so that's why it's always being framed as well, this

711
00:35:25,680 --> 00:35:29,959
Speaker 1: can replace people, right, It's like, no, it can make

712
00:35:30,400 --> 00:35:33,319
Speaker 1: people better at their job. Baby, if you like give

713
00:35:33,360 --> 00:35:35,480
Speaker 1: them a chance to learn how to use it and

714
00:35:35,480 --> 00:35:37,480
Speaker 1: if you like think about it in a way that's

715
00:35:37,560 --> 00:35:41,200
Speaker 1: like patient and thoughtful. But instead the only thing that

716
00:35:41,200 --> 00:35:44,160
Speaker 1: they care about is cutting how many jobs they can cut,

717
00:35:44,160 --> 00:35:48,520
Speaker 1: which is it's crazy that like we are allowing that

718
00:35:48,719 --> 00:35:51,920
Speaker 1: to be the way that this technology is being written

719
00:35:51,920 --> 00:35:54,080
Speaker 1: about and like thought about at a broad.

720
00:35:53,880 --> 00:35:56,040
Speaker 2: Level, right, you know, a lot of it is looking

721
00:35:56,080 --> 00:35:59,440
Speaker 2: as like oh AI is here to make everything like obsolete,

722
00:35:59,560 --> 00:36:02,600
Speaker 2: or it's like the be all end all of certain industries.

723
00:36:02,800 --> 00:36:05,840
Speaker 2: Like that's sort of the dominant narrative, which has everyone

724
00:36:05,880 --> 00:36:08,680
Speaker 2: being like, so it's smarter than a doctor, so it's

725
00:36:08,719 --> 00:36:11,560
Speaker 2: better than a doctor, so it's better than a writer.

726
00:36:11,840 --> 00:36:14,520
Speaker 2: It's like rather than well no, and even like what

727
00:36:14,600 --> 00:36:18,480
Speaker 2: they're talking about when they're like analyzing the performance of

728
00:36:18,520 --> 00:36:21,600
Speaker 2: that one AI, it's like performed more or less as

729
00:36:21,640 --> 00:36:25,920
Speaker 2: well as the actual doctors. Well what's less? Yes, Like

730
00:36:26,040 --> 00:36:29,000
Speaker 2: how that is less? Like that's kind of a big

731
00:36:29,040 --> 00:36:33,000
Speaker 2: fucking deal if you completely misdiagnosed shit, because like with

732
00:36:33,120 --> 00:36:35,520
Speaker 2: all AI, like you know, you can already see how

733
00:36:35,560 --> 00:36:37,920
Speaker 2: there's gonna be, like the kind of care can be

734
00:36:37,960 --> 00:36:40,799
Speaker 2: all fucked up based on like racial biases and shit

735
00:36:40,880 --> 00:36:42,960
Speaker 2: like that, because even when you look at right, even

736
00:36:43,000 --> 00:36:46,279
Speaker 2: if it is going through like actual data, if you

737
00:36:46,320 --> 00:36:49,880
Speaker 2: look at clinical trials for certain medications, if sometimes a

738
00:36:49,920 --> 00:36:53,040
Speaker 2: certain ethnic group isn't responding as well as another, they

739
00:36:53,040 --> 00:36:56,360
Speaker 2: will just preclude them from participating in the study to

740
00:36:56,440 --> 00:36:59,120
Speaker 2: make the to make the results look better. Where it's like, yeah,

741
00:36:59,120 --> 00:37:01,920
Speaker 2: well this should actually work better for white Alzheimer's patients

742
00:37:01,920 --> 00:37:04,640
Speaker 2: and not black or Latino Alzheimer's patients. So like let's

743
00:37:04,680 --> 00:37:06,920
Speaker 2: have a couple of them in there, but mostly the

744
00:37:06,960 --> 00:37:10,080
Speaker 2: white ones because those are showing us the best results.

745
00:37:10,200 --> 00:37:12,680
Speaker 2: And we're all we already have a deficit in even

746
00:37:12,680 --> 00:37:15,759
Speaker 2: how we even are testing certain things. So and I

747
00:37:15,840 --> 00:37:19,640
Speaker 2: met with like a really good doctor like that and

748
00:37:20,280 --> 00:37:23,040
Speaker 2: somebody who's like really smart about how they use AI.

749
00:37:23,520 --> 00:37:27,160
Speaker 2: AI could actually be used to like fight against the

750
00:37:27,200 --> 00:37:30,920
Speaker 2: biases that do exist with doctors. Like doctors are not

751
00:37:31,080 --> 00:37:33,960
Speaker 2: above that shit, but any means like they're sure some

752
00:37:34,000 --> 00:37:37,959
Speaker 2: of the most sexist, racist motherfuckers, and you know out

753
00:37:38,000 --> 00:37:41,600
Speaker 2: here because they're like sitting there getting told they're like

754
00:37:41,680 --> 00:37:43,800
Speaker 2: incredibly smart and they have like a lot of authority,

755
00:37:43,840 --> 00:37:46,239
Speaker 2: and so whenever there's a lot of authority. You see

756
00:37:46,280 --> 00:37:49,880
Speaker 2: a lot of biases and shit like just go unchecked.

757
00:37:50,280 --> 00:37:53,960
Speaker 2: So there's a problem, there's an issue there, And I

758
00:37:54,360 --> 00:37:57,600
Speaker 2: don't think that, Like I think in a different world

759
00:37:57,800 --> 00:38:01,120
Speaker 2: where we don't approach a technology and say how many

760
00:38:01,200 --> 00:38:05,200
Speaker 2: jobs could this cut like as the first question, we

761
00:38:05,239 --> 00:38:06,880
Speaker 2: would be approaching this and being like, oh, this is

762
00:38:06,920 --> 00:38:09,880
Speaker 2: a great opportunity to fucking like improve medical care and

763
00:38:09,960 --> 00:38:13,120
Speaker 2: like cut out all this bias, all these biases by

764
00:38:13,600 --> 00:38:17,799
Speaker 2: like you know, doing like approaching data differently or like

765
00:38:18,000 --> 00:38:21,600
Speaker 2: using like approaching people, you know, and just doing a

766
00:38:21,640 --> 00:38:25,120
Speaker 2: better job like parsing through massive amounts of data without

767
00:38:25,520 --> 00:38:27,040
Speaker 2: racism goggles on, you know.

768
00:38:27,360 --> 00:38:30,200
Speaker 4: But yeah, I always find it interesting when you actually

769
00:38:30,239 --> 00:38:33,200
Speaker 4: stumble upon a really good doctor and like the thing

770
00:38:33,239 --> 00:38:35,480
Speaker 4: that you notice from a good doctor to a not

771
00:38:35,600 --> 00:38:38,160
Speaker 4: good doctor is that they actually like take their time

772
00:38:38,280 --> 00:38:41,360
Speaker 4: and they want to know the real personal route of

773
00:38:41,440 --> 00:38:43,839
Speaker 4: like where the fuck this shit is coming from, you know,

774
00:38:43,920 --> 00:38:46,000
Speaker 4: And you're not just filling out a form that says

775
00:38:46,000 --> 00:38:48,400
Speaker 4: like yes, that's my father had cancer and died, like

776
00:38:48,520 --> 00:38:51,600
Speaker 4: you're you know, you're actually engaging with like okay, like

777
00:38:51,680 --> 00:38:53,520
Speaker 4: what what does this mean and what does that mean?

778
00:38:53,560 --> 00:38:55,000
Speaker 4: And where is this, and where do you work? And

779
00:38:55,000 --> 00:38:56,759
Speaker 4: what's your stress levels? And like when you have a

780
00:38:56,920 --> 00:38:59,400
Speaker 4: doctor that really cares. It's such a fucking huge difference.

781
00:38:59,760 --> 00:39:03,040
Speaker 4: And if they did have those tools and they could like,

782
00:39:03,200 --> 00:39:06,000
Speaker 4: you know, precision focus on whatever it is that's bothering you,

783
00:39:06,440 --> 00:39:08,680
Speaker 4: it would be so nice in an ideal way. And

784
00:39:08,880 --> 00:39:10,719
Speaker 4: it's also going back to what you were saying Jack

785
00:39:10,760 --> 00:39:13,280
Speaker 4: about how like it's crazy that like when we get

786
00:39:13,560 --> 00:39:16,239
Speaker 4: some technology, it's like how do we cut jobs? Yeah,

787
00:39:16,400 --> 00:39:21,080
Speaker 4: And it's wild that right now the AI conversation is

788
00:39:21,200 --> 00:39:24,359
Speaker 4: like that, But it's also not because when you think

789
00:39:24,400 --> 00:39:26,680
Speaker 4: about the way people talk about immigrants and immigrants taking

790
00:39:26,719 --> 00:39:29,640
Speaker 4: people's jobs, it's like there's so much disconnect of like

791
00:39:29,719 --> 00:39:33,319
Speaker 4: what's really happening in all these industries, and AI is

792
00:39:33,320 --> 00:39:36,120
Speaker 4: just about to make that shit so much worse. And

793
00:39:37,040 --> 00:39:39,000
Speaker 4: that's of course why they're doing the double strike with

794
00:39:39,320 --> 00:39:42,640
Speaker 4: this with my industry. And it's really fascinating to be

795
00:39:42,760 --> 00:39:45,600
Speaker 4: in it so deep and in every seems to be

796
00:39:45,800 --> 00:39:48,480
Speaker 4: like every industry is getting affected by the shit. It's

797
00:39:48,520 --> 00:39:51,600
Speaker 4: really wild, Like where is this going? I don't know?

798
00:39:52,120 --> 00:39:53,839
Speaker 2: Yeah, because it starts off as being like this will

799
00:39:53,840 --> 00:39:56,640
Speaker 2: help people's efficiency and then again like when you start,

800
00:39:56,920 --> 00:39:58,760
Speaker 2: if you have like a company that has to answer

801
00:39:58,760 --> 00:40:02,000
Speaker 2: at a Wall Street, then you can see how that

802
00:40:02,040 --> 00:40:04,520
Speaker 2: pressure can turn into just like, well, why don't we

803
00:40:04,600 --> 00:40:05,399
Speaker 2: just make them all.

804
00:40:05,320 --> 00:40:07,319
Speaker 10: A bunch of chat bots, or at least a lot

805
00:40:07,320 --> 00:40:08,840
Speaker 10: of them could be you know, for a lot of

806
00:40:08,880 --> 00:40:11,440
Speaker 10: this shit, And it is a slippery slope, and like

807
00:40:11,960 --> 00:40:14,480
Speaker 10: to the point of like I get too because some

808
00:40:14,600 --> 00:40:17,440
Speaker 10: like medical systems are so overburdened, Like I feel like

809
00:40:17,520 --> 00:40:20,160
Speaker 10: doctors own They're like I have to see like nine

810
00:40:20,280 --> 00:40:23,439
Speaker 10: hundred fucking people in a day because I'm already they're

811
00:40:23,480 --> 00:40:25,920
Speaker 10: already cutting costs that they're there, I can't give the

812
00:40:26,000 --> 00:40:26,759
Speaker 10: quality of care.

813
00:40:27,239 --> 00:40:29,960
Speaker 2: So shit is slipping through the cracks. And that happened

814
00:40:29,960 --> 00:40:34,440
Speaker 2: tragically with my cousin, you know, like having something completely misdiagnosed,

815
00:40:34,480 --> 00:40:37,560
Speaker 2: go completely under the fucking radar and then oh, sorry,

816
00:40:37,600 --> 00:40:41,279
Speaker 2: you have stage four cancer. Sure, I mean, and that's

817
00:40:41,280 --> 00:40:44,359
Speaker 2: what happens. And you think about how frequent that kind

818
00:40:44,400 --> 00:40:46,960
Speaker 2: of shit happened, Like how frequently that kind of thing happens,

819
00:40:47,200 --> 00:40:50,120
Speaker 2: And you're like, isn't there a way to help that

820
00:40:50,360 --> 00:40:53,360
Speaker 2: for somebody who unfortunate, like you know, I guess I

821
00:40:53,400 --> 00:40:55,480
Speaker 2: won't say that a doctor's negligent because I don't know

822
00:40:55,520 --> 00:40:58,000
Speaker 2: what the fuck their work environment is like. But those

823
00:40:58,000 --> 00:41:00,439
Speaker 2: are the instances where you feel like, couldn't that help,

824
00:41:00,800 --> 00:41:03,919
Speaker 2: Like like more or less they have fall through, Yeah,

825
00:41:04,000 --> 00:41:06,560
Speaker 2: fall through the fucking cracks of being like, no, you're fine,

826
00:41:06,560 --> 00:41:08,440
Speaker 2: it's fibroids, don't worry about it. Don't worry about it,

827
00:41:08,480 --> 00:41:11,040
Speaker 2: don't worry about it. And then it's, hey, we totally

828
00:41:11,080 --> 00:41:14,880
Speaker 2: fucked that up. Sorry, Yeah, that's just.

829
00:41:14,000 --> 00:41:17,200
Speaker 4: Sorry, bye bye. And that's what's fucked up.

830
00:41:17,280 --> 00:41:20,480
Speaker 2: Yeah, it's that, that's where you're hoping that the is

831
00:41:20,520 --> 00:41:22,359
Speaker 2: there a way to improve that, you know what I mean,

832
00:41:22,440 --> 00:41:24,560
Speaker 2: but not just wholesale being like and this ship is

833
00:41:24,600 --> 00:41:28,480
Speaker 2: more popping than doctors and of moving on yeah.

834
00:41:28,080 --> 00:41:29,720
Speaker 4: Yeah, And then and then you get into the deeper

835
00:41:29,760 --> 00:41:33,160
Speaker 4: conversation of like medical school being so fucking expensive and

836
00:41:33,239 --> 00:41:35,400
Speaker 4: only certain types of people have access to it. I

837
00:41:35,400 --> 00:41:37,640
Speaker 4: mean that that's what's fucked is there's so many layers

838
00:41:37,640 --> 00:41:40,160
Speaker 4: that's happening in this conversation that we're trying to happen, right,

839
00:41:40,400 --> 00:41:43,400
Speaker 4: But it's like you feel fucking crazy because you're just

840
00:41:43,440 --> 00:41:45,719
Speaker 4: like I just want everyone I love to get good

841
00:41:45,760 --> 00:41:47,360
Speaker 4: health care. Why is that so hard?

842
00:41:47,680 --> 00:41:47,879
Speaker 2: Right?

843
00:41:48,520 --> 00:41:50,680
Speaker 1: Why do you have to like, yeah, well there has

844
00:41:50,680 --> 00:41:52,880
Speaker 1: to be like a shortage of doctors and they have

845
00:41:52,960 --> 00:41:56,440
Speaker 1: to be like treated like shit, like professionally hazed to

846
00:41:56,600 --> 00:41:59,359
Speaker 1: like like there's like stories like people are going through

847
00:41:59,400 --> 00:42:02,560
Speaker 1: medical school. They're like these stories where it's like, yeah,

848
00:42:02,600 --> 00:42:06,719
Speaker 1: so I would be driving to work and like part

849
00:42:06,760 --> 00:42:09,400
Speaker 1: of my routine was I would fall asleep at the

850
00:42:09,440 --> 00:42:11,920
Speaker 1: red light and then people would wake me up by

851
00:42:11,920 --> 00:42:13,799
Speaker 1: honking at me when the light turned green.

852
00:42:13,840 --> 00:42:16,240
Speaker 2: And that's how I would like sleep during medical school.

853
00:42:16,400 --> 00:42:18,480
Speaker 2: It's like exists, Jesus.

854
00:42:18,000 --> 00:42:21,800
Speaker 1: Well why do you why no other profession crazy? Yeah,

855
00:42:21,920 --> 00:42:25,680
Speaker 1: but there is this interesting case study of like cause

856
00:42:26,400 --> 00:42:29,879
Speaker 1: the whole AI thing and like everybody going crazy about

857
00:42:29,880 --> 00:42:33,319
Speaker 1: AI right now is really like a media bubble and

858
00:42:33,400 --> 00:42:36,120
Speaker 1: like this technology has been around. It's just like once

859
00:42:36,200 --> 00:42:39,480
Speaker 1: Chad GPT happened and a lot of people were like, whoa,

860
00:42:39,600 --> 00:42:42,680
Speaker 1: it feels like I'm talking to person right when I

861
00:42:42,760 --> 00:42:45,399
Speaker 1: talk to this thing and they give me answers. Yes,

862
00:42:45,480 --> 00:42:48,600
Speaker 1: the answers aren't correct, but they get a lot of

863
00:42:48,600 --> 00:42:51,400
Speaker 1: shit wrong. But it's interesting that it can type answers,

864
00:42:51,600 --> 00:42:54,200
Speaker 1: So I'm impressed. But like there's been a AI for

865
00:42:54,239 --> 00:42:57,720
Speaker 1: a while, and there was this company called Babylon Health,

866
00:42:58,080 --> 00:43:01,920
Speaker 1: a startup in twenty eighteen that they had an AI

867
00:43:02,040 --> 00:43:05,960
Speaker 1: chatbot that was reportedly able to diagnose medical conditions as

868
00:43:06,040 --> 00:43:09,800
Speaker 1: accurately as a doctor. And the claim that claim was

869
00:43:09,800 --> 00:43:12,520
Speaker 1: based on a study that, as noted in a follow

870
00:43:12,600 --> 00:43:16,239
Speaker 1: up paper by researchers, did not offer convincing evidence that

871
00:43:16,239 --> 00:43:20,239
Speaker 1: Babylon can perform better than doctors in any realistic situation,

872
00:43:20,800 --> 00:43:25,360
Speaker 1: and there is a possibility that it might perform significantly worse.

873
00:43:26,640 --> 00:43:29,680
Speaker 1: And yeah, it's just like the over promising of the

874
00:43:29,680 --> 00:43:35,480
Speaker 1: technology like just immediately, like starts immediately, because the second

875
00:43:35,760 --> 00:43:39,040
Speaker 1: you have something like this, it gets put in a

876
00:43:39,160 --> 00:43:42,440
Speaker 1: room with people who are like, how do we, at

877
00:43:42,480 --> 00:43:45,080
Speaker 1: the highest level, as people who aren't involved in this

878
00:43:45,200 --> 00:43:49,239
Speaker 1: at all, we're not doctors, how do we make the

879
00:43:49,280 --> 00:43:50,319
Speaker 1: most money off of that?

880
00:43:50,440 --> 00:43:52,080
Speaker 2: And the way to make the most money off of that.

881
00:43:52,440 --> 00:43:57,560
Speaker 1: Is to just give unrealistic prognostications of like what the

882
00:43:57,600 --> 00:43:59,799
Speaker 1: thing's going to be able to do, and like not

883
00:44:00,080 --> 00:44:03,120
Speaker 1: work with it at all. And I feel like that's

884
00:44:03,719 --> 00:44:05,960
Speaker 1: what AI is to a large degree. It's like a

885
00:44:06,000 --> 00:44:09,920
Speaker 1: word for tech advances that we already have or that

886
00:44:10,000 --> 00:44:13,040
Speaker 1: have been happening for a while. But the media bubble

887
00:44:13,160 --> 00:44:17,239
Speaker 1: is like an opportunity for these like financial powers to

888
00:44:17,440 --> 00:44:20,160
Speaker 1: like dig in and try to make money by like

889
00:44:20,560 --> 00:44:22,280
Speaker 1: claiming that they can cut jobs.

890
00:44:22,560 --> 00:44:23,319
Speaker 2: But anyways, this.

891
00:44:23,280 --> 00:44:29,200
Speaker 1: Babylon company, the NHS, the British like healthcare system, signed

892
00:44:29,200 --> 00:44:32,800
Speaker 1: a big contract with them to like take over signed

893
00:44:32,840 --> 00:44:38,040
Speaker 1: three projects with the UK's NHS hospital trusts, and they

894
00:44:38,200 --> 00:44:41,400
Speaker 1: ended up canceling almost all of them, like eight years

895
00:44:41,560 --> 00:44:43,480
Speaker 1: before they were supposed to.

896
00:44:44,200 --> 00:44:48,440
Speaker 2: And yeah, also, I like I wonder if the person

897
00:44:48,440 --> 00:44:51,440
Speaker 2: who named it was was like a Rastafarian was looking

898
00:44:51,440 --> 00:44:53,920
Speaker 2: at it like a Babylon type thing, you know, like

899
00:44:54,080 --> 00:44:57,400
Speaker 2: real like the oppressive systems that we live under. According

900
00:44:57,400 --> 00:45:01,640
Speaker 2: to the Rastafarian versus of Babylon, this is bullshit. This

901
00:45:01,680 --> 00:45:04,080
Speaker 2: is hyper capitalist, oppressive bullshit.

902
00:45:04,880 --> 00:45:07,680
Speaker 1: They invented it and were like, uh oh oh, this

903
00:45:07,760 --> 00:45:08,880
Speaker 1: is bad Babylon.

904
00:45:08,960 --> 00:45:09,360
Speaker 2: Yeah.

905
00:45:09,560 --> 00:45:12,680
Speaker 4: I have two thoughts. The first one is I think

906
00:45:12,680 --> 00:45:16,280
Speaker 4: it's also amusing because at some point in the future,

907
00:45:16,400 --> 00:45:19,000
Speaker 4: like yeah, they get these ai whatever chap bought to

908
00:45:19,080 --> 00:45:21,919
Speaker 4: come fucking take over the doctor's job. But then there's

909
00:45:21,920 --> 00:45:24,439
Speaker 4: gonna be the next level of exploitation after that, where

910
00:45:24,520 --> 00:45:27,840
Speaker 4: now like your privacy is at risk, like literal pictures

911
00:45:27,880 --> 00:45:31,080
Speaker 4: of your body are now and like hidden within these

912
00:45:31,360 --> 00:45:33,839
Speaker 4: AI chat you know, men are going to fucking hack

913
00:45:33,920 --> 00:45:36,239
Speaker 4: that ship. Now they got pictures of my pussy because

914
00:45:36,239 --> 00:45:39,680
Speaker 4: my gynecologists had to like you know, ship with you know,

915
00:45:39,719 --> 00:45:41,759
Speaker 4: taking pictures and check if I got fibroids, you know,

916
00:45:41,880 --> 00:45:44,520
Speaker 4: know whatever. It's like, you know, that's the next level.

917
00:45:44,600 --> 00:45:46,760
Speaker 4: Once they introduced the shit, I mean, that's what's happening

918
00:45:46,800 --> 00:45:52,800
Speaker 4: with fucking cars article about whether they's they say, like

919
00:45:53,680 --> 00:45:58,279
Speaker 4: they're keeping taps on your sex life, on everything like that.

920
00:45:58,600 --> 00:46:00,920
Speaker 4: You get that smart shit in anything, and you're gonna

921
00:46:00,920 --> 00:46:03,040
Speaker 4: get to that point where it's like it just gets nasty.

922
00:46:03,160 --> 00:46:06,200
Speaker 2: It was yeah, Like that article ended with like they're

923
00:46:06,239 --> 00:46:08,640
Speaker 2: in a damn company that isn't fucking with your data,

924
00:46:08,719 --> 00:46:11,000
Speaker 2: they said, except for two and they were like based

925
00:46:11,000 --> 00:46:13,560
Speaker 2: in Europe because they have to actually abide by their

926
00:46:13,600 --> 00:46:17,799
Speaker 2: privacy laws everybody else. They're hoovering up good data. They're

927
00:46:17,840 --> 00:46:23,480
Speaker 2: watching you. Fuck yeah, they're watching the slogan you thought when.

928
00:46:23,360 --> 00:46:26,319
Speaker 1: The car was off its headlights, weren't watching you?

929
00:46:26,760 --> 00:46:28,040
Speaker 2: Wait? What? Yeah?

930
00:46:28,320 --> 00:46:31,960
Speaker 4: Nasty? And then the second thought, I had was it's

931
00:46:32,080 --> 00:46:37,080
Speaker 4: interesting how I mean, I think naturally all technology there's

932
00:46:37,440 --> 00:46:39,880
Speaker 4: a dark side to it, right, any any invention it

933
00:46:39,920 --> 00:46:41,239
Speaker 4: was going to have a dark side to it. You know,

934
00:46:41,280 --> 00:46:44,240
Speaker 4: you invented whatever, the car and it's made to transport,

935
00:46:44,280 --> 00:46:46,359
Speaker 4: but you can kill somebody with your car. So made

936
00:46:46,400 --> 00:46:48,640
Speaker 4: me think about how Like I wonder if when pins

937
00:46:48,640 --> 00:46:51,640
Speaker 4: were invented, like like who was the first person to

938
00:46:51,640 --> 00:46:55,000
Speaker 4: get to die getting stabbed by a pin? And they

939
00:46:55,040 --> 00:46:56,960
Speaker 4: were like, this is out of control. This is why

940
00:46:57,000 --> 00:46:59,439
Speaker 4: we can have pins in our household, or pencils or whatever.

941
00:46:59,440 --> 00:46:59,759
Speaker 2: The fuck.

942
00:47:00,120 --> 00:47:03,720
Speaker 4: There's literally it's always this is human nature, it seems

943
00:47:03,800 --> 00:47:05,560
Speaker 4: or it's like you invent something and it's going to

944
00:47:05,640 --> 00:47:08,200
Speaker 4: be used for evil because that's the way humans work.

945
00:47:08,520 --> 00:47:11,840
Speaker 1: I mean, we already have this one example that's pretty creepy,

946
00:47:12,160 --> 00:47:16,080
Speaker 1: like so like that, there's this thing called deep Scribe,

947
00:47:16,560 --> 00:47:20,040
Speaker 1: which is it's like your doctor will use it to

948
00:47:20,239 --> 00:47:25,120
Speaker 1: record your conversation with your doctor and it captures the

949
00:47:25,280 --> 00:47:29,560
Speaker 1: encounters in real time and automatically extracts medical information throughout

950
00:47:29,560 --> 00:47:34,920
Speaker 1: the conversation, which sounds like a good idea good use

951
00:47:34,920 --> 00:47:37,600
Speaker 1: of the technology, except the software was only able to

952
00:47:37,600 --> 00:47:40,720
Speaker 1: catch eighty percent of what was recorded. Okay, their AI

953
00:47:40,840 --> 00:47:45,960
Speaker 1: would have quote hallucinations and provide quote false information about patients,

954
00:47:46,000 --> 00:47:50,840
Speaker 1: including errors enlisting medications, which seems pretty bad. So to

955
00:47:50,920 --> 00:47:53,359
Speaker 1: fix this issue, the company hired a team of two

956
00:47:53,480 --> 00:47:57,040
Speaker 1: hundred random people who would fix the notes by listening

957
00:47:57,080 --> 00:48:00,480
Speaker 1: into these supposedly private recordings of medical appointments.

958
00:48:01,200 --> 00:48:02,360
Speaker 2: So problem solved.

959
00:48:03,239 --> 00:48:07,160
Speaker 3: We just got random you know, a random.

960
00:48:07,880 --> 00:48:13,600
Speaker 4: All I'm hearing is job job. Come on, bro, you're

961
00:48:13,719 --> 00:48:16,000
Speaker 4: hating that's true?

962
00:48:15,880 --> 00:48:17,560
Speaker 2: Ye to those two hundred humans.

963
00:48:18,040 --> 00:48:21,560
Speaker 4: Yes, that's so crazy. I hate it.

964
00:48:22,080 --> 00:48:22,360
Speaker 8: Yeah.

965
00:48:22,400 --> 00:48:24,439
Speaker 1: And then they're also using it to screw you over

966
00:48:24,480 --> 00:48:26,000
Speaker 1: on insurance claims.

967
00:48:26,640 --> 00:48:28,560
Speaker 2: So oh, we didn't even get to the good part

968
00:48:28,880 --> 00:48:30,919
Speaker 2: where they're like, yeah, yeah, this will just go through

969
00:48:30,920 --> 00:48:33,560
Speaker 2: insurance claims to help a doctor deny all of them.

970
00:48:33,719 --> 00:48:34,040
Speaker 1: Yeah.

971
00:48:35,040 --> 00:48:36,360
Speaker 4: Yeah, it's crazier to deny.

972
00:48:36,680 --> 00:48:39,399
Speaker 1: The insurance company's Sigma is being sued for using an

973
00:48:39,400 --> 00:48:43,680
Speaker 1: AI algorithm instead of doctors to review customer claims, allowing

974
00:48:43,719 --> 00:48:47,280
Speaker 1: their doctors to deny claims without ever opening patient files.

975
00:48:48,000 --> 00:48:52,040
Speaker 2: That's great, that's great, Yeah, I like how Yeah, there's

976
00:48:52,080 --> 00:48:54,279
Speaker 2: like one example of this woman who had like was

977
00:48:54,360 --> 00:48:57,920
Speaker 2: getting an ultrasound because they thought she may have ovarian cancer,

978
00:48:58,320 --> 00:49:02,480
Speaker 2: and they found a cyst and then denied her claim

979
00:49:02,640 --> 00:49:05,040
Speaker 2: for the ultrasound and a follow up procedure.

980
00:49:04,719 --> 00:49:07,680
Speaker 1: Claiming neither were medically necessary, and leaving her on the

981
00:49:07,719 --> 00:49:11,000
Speaker 1: hook for seven hundred and twenty three dollars, which is.

982
00:49:11,000 --> 00:49:14,399
Speaker 2: Wild because they could have just done that without the AI, Right,

983
00:49:14,960 --> 00:49:18,120
Speaker 2: you know what I mean? Okay, sure, I guess it's

984
00:49:18,160 --> 00:49:20,080
Speaker 2: more efficient or just as fucked up.

985
00:49:20,600 --> 00:49:21,879
Speaker 3: Yeah, all right.

986
00:49:22,120 --> 00:49:23,920
Speaker 1: Should we take one more break and come back and

987
00:49:23,960 --> 00:49:28,400
Speaker 1: talk about the real scandal that Rotten Tomatoes might not

988
00:49:28,520 --> 00:49:29,839
Speaker 1: be as trustworthy?

989
00:49:30,080 --> 00:49:44,840
Speaker 5: We all thought, oh no, and we're back.

990
00:49:45,120 --> 00:49:47,319
Speaker 3: Or do you want to bring us back Marcella and

991
00:49:47,360 --> 00:49:48,040
Speaker 3: we're back.

992
00:49:48,360 --> 00:49:51,719
Speaker 2: Yeah, there we go with Gusto, one of the best

993
00:49:51,800 --> 00:49:52,440
Speaker 2: in the business.

994
00:49:53,600 --> 00:49:57,000
Speaker 3: All right, so, Rotten Tomatoes, I've been I've been a

995
00:49:57,040 --> 00:49:59,640
Speaker 3: Rotten Tomatoes skeptic for a while.

996
00:50:00,239 --> 00:50:04,440
Speaker 4: You are that kind of white guy.

997
00:50:01,480 --> 00:50:07,440
Speaker 2: I have some thoughts about rotten tomatoes.

998
00:50:11,200 --> 00:50:12,320
Speaker 4: I just closed my laptop.

999
00:50:13,640 --> 00:50:16,319
Speaker 2: In your online dating profile, it's like, here's some things

1000
00:50:16,360 --> 00:50:21,360
Speaker 2: about me, rotten tomatoes skeptic. Yeah, follower of christ.

1001
00:50:23,120 --> 00:50:28,319
Speaker 1: I prefer Metacritic personally because they have a little bit

1002
00:50:28,360 --> 00:50:31,680
Speaker 1: more a little bit more specific with the inputs that

1003
00:50:31,719 --> 00:50:34,879
Speaker 1: they put in, so like a five star review, not

1004
00:50:35,000 --> 00:50:38,080
Speaker 1: just fresh, it is, you know, input as a ten

1005
00:50:38,160 --> 00:50:38,640
Speaker 1: out of ten.

1006
00:50:38,880 --> 00:50:41,719
Speaker 4: Okay, but wait, back it up a second. Who is

1007
00:50:41,760 --> 00:50:44,680
Speaker 4: submitting to Rotten Tomatoes For those that don't know, like me,

1008
00:50:44,840 --> 00:50:45,760
Speaker 4: for example.

1009
00:50:45,440 --> 00:50:46,359
Speaker 2: Movie critics?

1010
00:50:46,480 --> 00:50:48,759
Speaker 4: Okay, but what who defines that?

1011
00:50:49,480 --> 00:50:51,799
Speaker 1: Who defines the movie crase? That's a great that's a

1012
00:50:51,800 --> 00:50:55,560
Speaker 1: great point. Yeah, and a great question. And it is

1013
00:50:55,640 --> 00:51:00,080
Speaker 1: the crux of the issue, right because Rotten Tomatoes determines it,

1014
00:51:00,200 --> 00:51:03,240
Speaker 1: and the owners of Rotten Tomatoes have some say into

1015
00:51:03,320 --> 00:51:06,799
Speaker 1: who gets allowed in there. And you'll never believe this.

1016
00:51:07,640 --> 00:51:12,600
Speaker 1: Rotten Tomatoes is owned by a movie studio. They're owned

1017
00:51:12,600 --> 00:51:16,879
Speaker 1: by Universal Pictures and Warner Brothers. Or sorry, they're owned

1018
00:51:16,880 --> 00:51:20,520
Speaker 1: by Warner Brothers and fan Dango, which shares a parent

1019
00:51:20,560 --> 00:51:25,080
Speaker 1: company with Universal Pictures. So yeah, they So it was

1020
00:51:25,200 --> 00:51:29,920
Speaker 1: just revealed that a PR company called Bunker fifteen, which

1021
00:51:29,960 --> 00:51:30,439
Speaker 1: is just.

1022
00:51:30,400 --> 00:51:34,480
Speaker 2: Like, ugh, you know, that's a shit job. Like if

1023
00:51:34,520 --> 00:51:37,320
Speaker 2: something like where do you work Bunker fifteen, they're like, oh,

1024
00:51:37,400 --> 00:51:39,319
Speaker 2: I don't know what that is, but I'm sorry you.

1025
00:51:39,400 --> 00:51:41,040
Speaker 4: Bos Pepe the Frog Jesus.

1026
00:51:41,760 --> 00:51:46,120
Speaker 2: Really, Bunker fifteen's the Wojack Memea.

1027
00:51:46,760 --> 00:51:50,399
Speaker 1: Bunker fifteen juiced to the rotten tomato scores of the

1028
00:51:50,480 --> 00:51:55,440
Speaker 1: movie Ophelia, because when the reviews came out, it was so,

1029
00:51:55,560 --> 00:52:00,359
Speaker 1: this is a feminist retelling of Hamlet starring Opheliate time,

1030
00:52:00,920 --> 00:52:04,640
Speaker 1: and the reviews came out and it was coming in

1031
00:52:04,640 --> 00:52:08,080
Speaker 1: in a forty six percent, which classifies that is rotten.

1032
00:52:08,480 --> 00:52:13,640
Speaker 1: And then Bunker fifteen offered critics in quotes fifty dollars

1033
00:52:13,760 --> 00:52:17,760
Speaker 1: or more to post positive reviews, which bumped the rating

1034
00:52:17,960 --> 00:52:21,000
Speaker 1: up too fresh, And the next month the movie was

1035
00:52:21,040 --> 00:52:22,200
Speaker 1: acquired for distribution.

1036
00:52:22,960 --> 00:52:26,120
Speaker 2: So damn for fifty bucks. Starting for fifty bucks, it's

1037
00:52:26,160 --> 00:52:29,160
Speaker 2: so low, Like that's what. It's so fucking cheap, Like

1038
00:52:29,239 --> 00:52:32,440
Speaker 2: what y'all if if you're gonna, like, if you're gonna

1039
00:52:32,440 --> 00:52:36,680
Speaker 2: sell out your little rotten tomatoes, cred, go get some

1040
00:52:36,760 --> 00:52:38,319
Speaker 2: more fucking coin than that.

1041
00:52:38,920 --> 00:52:41,000
Speaker 4: Yeah, it just shows you how much people are fucking

1042
00:52:41,080 --> 00:52:44,280
Speaker 4: whack as fucking sellouts and have no morals or ethics.

1043
00:52:44,680 --> 00:52:47,200
Speaker 2: Yeah, but they're also like, here's the thing, you don't know.

1044
00:52:47,480 --> 00:52:51,279
Speaker 2: I do about forty of these a day, right when

1045
00:52:51,280 --> 00:52:53,040
Speaker 2: I get figuring that I'm making two grand a day,

1046
00:52:53,040 --> 00:52:54,040
Speaker 2: actually I'm doing all.

1047
00:52:54,040 --> 00:52:56,759
Speaker 4: Right, Yeah, I mean that is how they think, though, I.

1048
00:52:56,719 --> 00:53:01,320
Speaker 1: Bet I'm sure so Bunker fifteen didny I do the allegations,

1049
00:53:01,680 --> 00:53:04,799
Speaker 1: but also admitted they have a quote small handful of

1050
00:53:04,840 --> 00:53:08,200
Speaker 1: writers that are set up that are set up a

1051
00:53:08,239 --> 00:53:11,640
Speaker 1: specific system where filmmakers can sponsor or pay to have

1052
00:53:11,760 --> 00:53:15,480
Speaker 1: them review a film, which doesn't sound like a denial

1053
00:53:15,520 --> 00:53:16,680
Speaker 1: of the allegation.

1054
00:53:16,360 --> 00:53:19,480
Speaker 2: Like they go, hey, man, are you paying critics to

1055
00:53:19,480 --> 00:53:22,160
Speaker 2: to like, you know, pad the reviews of films that

1056
00:53:22,239 --> 00:53:25,080
Speaker 2: are your clients of your PR company. We absolutely deny

1057
00:53:25,160 --> 00:53:28,040
Speaker 2: that much. No, what we do do have some critics

1058
00:53:28,040 --> 00:53:30,000
Speaker 2: who we can pay be paid.

1059
00:53:30,080 --> 00:53:32,840
Speaker 4: They got the same PR company as Trump. Huh I

1060
00:53:32,760 --> 00:53:34,440
Speaker 4: I protected?

1061
00:53:34,560 --> 00:53:37,360
Speaker 2: So yeah, right, they're saying we're covered on the Presidential

1062
00:53:37,400 --> 00:53:39,560
Speaker 2: Records Act. So next question, my honor.

1063
00:53:40,960 --> 00:53:43,799
Speaker 1: And since the Vulture piece went up alleging all of this,

1064
00:53:44,239 --> 00:53:48,080
Speaker 1: the Ophelia page has disappeared from Real.

1065
00:53:48,080 --> 00:53:52,000
Speaker 2: Tomatoes and Waits, and they use this to secure distribution.

1066
00:53:52,680 --> 00:53:56,960
Speaker 1: Yeah, so that's that's why there that's there's gonna that

1067
00:53:57,200 --> 00:54:01,320
Speaker 1: Like that feels like a lawsuit from whoever bought distribution rights.

1068
00:54:01,200 --> 00:54:01,960
Speaker 2: For that movie.

1069
00:54:02,680 --> 00:54:05,560
Speaker 1: Yeah, oh yeah, it's really Oh wait, because I don't

1070
00:54:05,600 --> 00:54:08,760
Speaker 1: think that thing made much money oh shit whenever.

1071
00:54:08,960 --> 00:54:11,040
Speaker 2: So if you google it, it'll give you out like

1072
00:54:11,080 --> 00:54:13,200
Speaker 2: a result on Google. Then you go and guess what

1073
00:54:13,360 --> 00:54:17,319
Speaker 2: homie is? Four to oh four baby not here? That

1074
00:54:17,719 --> 00:54:19,560
Speaker 2: the droids you are looking for are not here. These

1075
00:54:19,600 --> 00:54:20,839
Speaker 2: are not the droids you're looking for.

1076
00:54:21,640 --> 00:54:24,160
Speaker 1: That movie ended up making two hundred and forty two

1077
00:54:24,360 --> 00:54:28,640
Speaker 1: thousand dollars, which I think is probably more than anybody

1078
00:54:28,680 --> 00:54:29,239
Speaker 1: paid to.

1079
00:54:31,440 --> 00:54:31,520
Speaker 8: For.

1080
00:54:33,040 --> 00:54:35,440
Speaker 2: Damn, it's uh, it's not good.

1081
00:54:35,800 --> 00:54:38,840
Speaker 1: But I yeah, like Rotten Tomatoes, just as has always

1082
00:54:38,840 --> 00:54:43,040
Speaker 1: seemed completely suspect and like arbitrary. You'd go, you'd see

1083
00:54:43,040 --> 00:54:45,880
Speaker 1: like a movie that like doesn't have good reviews, and

1084
00:54:45,920 --> 00:54:47,600
Speaker 1: you go on Rotten Tomato and it would be like

1085
00:54:47,640 --> 00:54:52,040
Speaker 1: seventy six percent like fresh, It's like whoa, whoa, what's anybody?

1086
00:54:52,520 --> 00:54:53,960
Speaker 1: We're just we're just taking.

1087
00:54:53,719 --> 00:54:54,640
Speaker 2: Their word for it.

1088
00:54:55,239 --> 00:54:59,440
Speaker 1: And they've also like there was they delayed the posting

1089
00:55:00,120 --> 00:55:02,759
Speaker 1: of the reviews of Justice League when that came out

1090
00:55:02,800 --> 00:55:06,200
Speaker 1: in twenty seventeen, Like it got real bad reviews, but

1091
00:55:06,239 --> 00:55:09,279
Speaker 1: they like wouldn't post the reviews for a while. They

1092
00:55:09,280 --> 00:55:11,360
Speaker 1: would be people to buy tickets that they wanted the

1093
00:55:11,360 --> 00:55:13,000
Speaker 1: body to find out the movie was bad.

1094
00:55:13,160 --> 00:55:16,359
Speaker 2: Yeah, one of our earliest episodes was I remember us

1095
00:55:16,400 --> 00:55:18,880
Speaker 2: talking about that and we're like, what they can do that?

1096
00:55:18,960 --> 00:55:21,760
Speaker 2: And then we're like, oh, Warner Brothers owns it. Okay,

1097
00:55:21,800 --> 00:55:24,000
Speaker 2: I guess they rotten tomatoes.

1098
00:55:24,120 --> 00:55:26,200
Speaker 4: It's so wild that, like this country is so like

1099
00:55:26,280 --> 00:55:29,120
Speaker 4: freedom of speech, freedom of speech, and any chance anyone

1100
00:55:29,120 --> 00:55:31,920
Speaker 4: gets like, but how much does it cost to get

1101
00:55:32,000 --> 00:55:33,480
Speaker 4: you to change that speech?

1102
00:55:33,920 --> 00:55:34,000
Speaker 8: Right?

1103
00:55:34,239 --> 00:55:35,040
Speaker 2: Right? Exactly?

1104
00:55:35,760 --> 00:55:36,560
Speaker 1: How can I buy?

1105
00:55:36,680 --> 00:55:37,560
Speaker 4: Cost of speech?

1106
00:55:37,640 --> 00:55:37,839
Speaker 8: Yeah?

1107
00:55:38,000 --> 00:55:40,400
Speaker 4: Cost of speech? Like god, that's so wild.

1108
00:55:40,440 --> 00:55:42,719
Speaker 2: I mean, you got discounted speech over here, you're looking

1109
00:55:42,719 --> 00:55:43,080
Speaker 2: for it.

1110
00:55:43,239 --> 00:55:46,000
Speaker 4: Shit. It's also like I know that when I use

1111
00:55:46,040 --> 00:55:47,720
Speaker 4: like yelp, because I don't I don't use wrote tomatoes.

1112
00:55:47,719 --> 00:55:49,600
Speaker 4: I don't give a shit about movies, but when I

1113
00:55:49,680 --> 00:55:52,640
Speaker 4: use Yelp, I'm definitely always like I can't trust you.

1114
00:55:52,719 --> 00:55:55,520
Speaker 4: Like I hate. I hate when like you read something

1115
00:55:55,560 --> 00:55:57,719
Speaker 4: and you're like this has nothing to do with the food.

1116
00:55:58,000 --> 00:56:01,360
Speaker 2: Right, Well, you no, right, because there's there's yelp reviews

1117
00:56:01,440 --> 00:56:04,000
Speaker 2: or you go, oh, you fucked up on your anniversary

1118
00:56:04,080 --> 00:56:06,480
Speaker 2: din or pro you're taking it out on this restaurant

1119
00:56:06,520 --> 00:56:08,319
Speaker 2: that they didn't have X, Y and Z because it's

1120
00:56:08,360 --> 00:56:11,200
Speaker 2: like I made I made a reservation that day and

1121
00:56:11,239 --> 00:56:12,839
Speaker 2: then when we got there, it's like, hold, no, no, no,

1122
00:56:12,840 --> 00:56:13,080
Speaker 2: no no.

1123
00:56:13,360 --> 00:56:15,400
Speaker 4: My favorite, of course is the I eat here a

1124
00:56:15,400 --> 00:56:18,320
Speaker 4: million times, But today it's like, why didn't you review

1125
00:56:18,320 --> 00:56:21,320
Speaker 4: the other million times when he killed it? That's the

1126
00:56:21,640 --> 00:56:24,839
Speaker 4: actual review I want. But anyways, so I'm curious when

1127
00:56:24,880 --> 00:56:27,440
Speaker 4: you guys use rotten tomatoes, like, is there ever like

1128
00:56:27,480 --> 00:56:31,279
Speaker 4: you feel like this person is insincere or this is

1129
00:56:31,280 --> 00:56:33,960
Speaker 4: a suspect, Like can you can you read that the

1130
00:56:34,000 --> 00:56:35,440
Speaker 4: way that you can kind of see it in yelp?

1131
00:56:36,200 --> 00:56:38,920
Speaker 2: The other thing that's really weird. I don't know.

1132
00:56:39,120 --> 00:56:43,239
Speaker 1: It's totally subjective whether a thing, whether a review is

1133
00:56:43,320 --> 00:56:48,000
Speaker 1: rotten or fresh, you know, like if they give it

1134
00:56:48,080 --> 00:56:51,200
Speaker 1: like two stars, sometimes they'll put that as rotten or

1135
00:56:51,640 --> 00:56:52,280
Speaker 1: as fresh.

1136
00:56:52,560 --> 00:56:53,360
Speaker 2: Like it totally.

1137
00:56:54,440 --> 00:56:57,680
Speaker 1: It's yeah, it's really there's a there's a lot of

1138
00:56:57,760 --> 00:57:03,279
Speaker 1: like shade consists since yeah, consistency, thank you, which is

1139
00:57:03,320 --> 00:57:05,960
Speaker 1: why if you'll, if you'll check your inbox, I've just

1140
00:57:06,000 --> 00:57:08,440
Speaker 1: sent you a fifteen page slide show.

1141
00:57:10,360 --> 00:57:15,120
Speaker 2: Metacritic is the superior website. Metacritic the superior website.

1142
00:57:15,400 --> 00:57:20,880
Speaker 1: All right, Marcella, such a pleasure. I mean, you were

1143
00:57:20,960 --> 00:57:21,720
Speaker 1: so wonderful.

1144
00:57:21,960 --> 00:57:23,000
Speaker 4: I was so boring.

1145
00:57:24,120 --> 00:57:26,080
Speaker 2: Yeah, kind of bummed out. Yeah, there you go, bring

1146
00:57:26,080 --> 00:57:28,240
Speaker 2: it back. Where's that dial? The smoke up real quick?

1147
00:57:30,360 --> 00:57:32,240
Speaker 4: I'll come back, and I got promote. I guess I'll

1148
00:57:32,240 --> 00:57:33,640
Speaker 4: take us to this show. So I was like, let

1149
00:57:33,640 --> 00:57:36,280
Speaker 4: me be nice, even though I don't like being nice.

1150
00:57:36,640 --> 00:57:39,880
Speaker 2: No, I mean I don't think. I think it's a

1151
00:57:39,920 --> 00:57:43,440
Speaker 2: misnomer to even to categorize you.

1152
00:57:44,040 --> 00:57:46,720
Speaker 4: We agree on that ship, No, we agree. I'm working

1153
00:57:46,760 --> 00:57:50,440
Speaker 4: a bit about character versus demeanor. Yeah, because people confuse

1154
00:57:50,520 --> 00:57:52,680
Speaker 4: your demeanor with your character and this is not how

1155
00:57:52,680 --> 00:57:55,720
Speaker 4: it should be. But people are ready for all that ship.

1156
00:57:55,840 --> 00:57:56,000
Speaker 9: Yeah.

1157
00:57:56,520 --> 00:58:00,320
Speaker 4: Oh god, she said please shut the fuck up. She

1158
00:58:00,720 --> 00:58:03,120
Speaker 4: told she stole your husband when she said please, bitch

1159
00:58:05,560 --> 00:58:08,800
Speaker 4: so dumb. Anyways, that was my final rant. Thank you

1160
00:58:08,840 --> 00:58:11,480
Speaker 4: so much. You can find me at Marcella Comedy and

1161
00:58:11,520 --> 00:58:15,000
Speaker 4: now reminder, I will be headlining the Hollywood Improv September fifteenth.

1162
00:58:15,040 --> 00:58:17,840
Speaker 4: I'm coming to Chandler, Arizona in September twenty second. I'll

1163
00:58:17,880 --> 00:58:20,160
Speaker 4: be in Portland headlining High Note Comedy on the twenty eighth.

1164
00:58:20,200 --> 00:58:22,240
Speaker 4: I'll also be opening for Michelle Buteau. So if you've

1165
00:58:22,240 --> 00:58:24,880
Speaker 4: got tickets, I think there's still one more show with her.

1166
00:58:25,280 --> 00:58:27,280
Speaker 4: Excited about that. I'm also coming to the Santa Cruz

1167
00:58:27,320 --> 00:58:31,120
Speaker 4: Festival in October, and I'm doing Vegas in November, but

1168
00:58:31,160 --> 00:58:33,440
Speaker 4: I think i'll be back to kick it with y.

1169
00:58:33,560 --> 00:58:36,360
Speaker 2: Yeah, you gotta tell you, thank you amazing. Do you

1170
00:58:36,400 --> 00:58:37,960
Speaker 2: like doing Vegas? You like doing Vegas.

1171
00:58:37,960 --> 00:58:40,240
Speaker 4: For my first time doing Vegas, oh wow, it's the

1172
00:58:40,240 --> 00:58:42,120
Speaker 4: middle of the week show. So I'm excited about that

1173
00:58:42,160 --> 00:58:45,320
Speaker 4: because I really feel like the weekend crowd is fucking

1174
00:58:45,480 --> 00:58:46,160
Speaker 4: too insane.

1175
00:58:46,440 --> 00:58:51,360
Speaker 2: Yeah bonkers. You people who've already like lost their mortgage.

1176
00:58:50,960 --> 00:58:51,360
Speaker 1: Oh my god.

1177
00:58:51,400 --> 00:58:53,000
Speaker 4: I mean you're gonna have that any day of the week,

1178
00:58:53,040 --> 00:58:55,840
Speaker 4: but on the weekend there are like people coming to

1179
00:58:56,040 --> 00:58:58,520
Speaker 4: have a week and to really lose big exactly.

1180
00:58:58,640 --> 00:59:01,560
Speaker 2: Somebody who like already legally died at a hospital and

1181
00:59:01,600 --> 00:59:03,480
Speaker 2: then came back drunk for like you.

1182
00:59:04,200 --> 00:59:05,640
Speaker 4: Yeah, during the week you got all the people that

1183
00:59:05,720 --> 00:59:08,720
Speaker 4: have like their little vouchers and their discounted rooms and

1184
00:59:09,080 --> 00:59:12,400
Speaker 4: you know, pros, the pros. That's I am excited about that,

1185
00:59:12,440 --> 00:59:15,840
Speaker 4: but I don't know how that's gonna be. I've never

1186
00:59:15,880 --> 00:59:16,520
Speaker 4: done Vegas.

1187
00:59:16,960 --> 00:59:17,600
Speaker 2: I'm excited.

1188
00:59:18,120 --> 00:59:21,920
Speaker 4: Piece of media I'm enjoying is my friend Coreyla Kasik

1189
00:59:22,040 --> 00:59:25,440
Speaker 4: has this Uh, you guys would appreciate this. Oh, I

1190
00:59:25,440 --> 00:59:26,760
Speaker 4: had it written down in the room and I had

1191
00:59:26,760 --> 00:59:28,360
Speaker 4: to come down here. But I think it's like Molly

1192
00:59:28,440 --> 00:59:32,480
Speaker 4: bro on Instagram. He's going viral right now because he

1193
00:59:32,600 --> 00:59:34,400
Speaker 4: was at Burning Man and so he just is like

1194
00:59:34,880 --> 00:59:36,720
Speaker 4: doing like a Hey, guys, do you need a spond

1195
00:59:36,800 --> 00:59:39,200
Speaker 4: If you want to sponsor us for here stranded, just

1196
00:59:39,280 --> 00:59:43,160
Speaker 4: one dollar we'll get us. If a million of you donate,

1197
00:59:43,280 --> 00:59:47,200
Speaker 4: one dollar can get us. Hella Molly. It's just like

1198
00:59:47,240 --> 00:59:50,080
Speaker 4: the funniest stupidest ship. He's part of a crew called

1199
00:59:50,080 --> 00:59:52,560
Speaker 4: the Dress Up Gang, which Frankiekniona is also in which

1200
00:59:52,560 --> 00:59:56,880
Speaker 4: you guys a yes from fit but they it's just

1201
00:59:56,920 --> 01:00:01,200
Speaker 4: such a funny character. His name is Molly bro on Instagram. Fuck,

1202
01:00:01,240 --> 01:00:02,440
Speaker 4: I wish I think I have it wrong. Let me

1203
01:00:02,440 --> 01:00:04,880
Speaker 4: see if I can't pull it up. Official Molly bro

1204
01:00:05,160 --> 01:00:08,600
Speaker 4: is his Instagram handle. That's amazing and he has really

1205
01:00:08,640 --> 01:00:13,720
Speaker 4: silly Molly content and it's actually very funny. I don't

1206
01:00:13,760 --> 01:00:16,320
Speaker 4: do Molly, but I you know, I can appreciate a

1207
01:00:16,320 --> 01:00:16,840
Speaker 4: good character.

1208
01:00:17,120 --> 01:00:18,320
Speaker 2: Yeah, why not? Of course?

1209
01:00:18,880 --> 01:00:22,280
Speaker 3: And Miles, where can people find you? Is there a

1210
01:00:22,280 --> 01:00:23,200
Speaker 3: working media you've been in?

1211
01:00:23,280 --> 01:00:27,280
Speaker 2: Drug? Yeah? Find me Twitter, Instagram, all them at based

1212
01:00:27,560 --> 01:00:30,040
Speaker 2: Life forums, at Miles of Gray. You know where to

1213
01:00:30,040 --> 01:00:32,200
Speaker 2: find us with our basketball takes. That's Miles and Jack

1214
01:00:32,240 --> 01:00:35,600
Speaker 2: got mad boosties. You like ninety Day Fiance, Check Sophia,

1215
01:00:35,640 --> 01:00:38,160
Speaker 2: Alexander and I out on four to twenty day Fiance

1216
01:00:38,640 --> 01:00:41,720
Speaker 2: and True The True Crime Show. Check it out. The

1217
01:00:41,760 --> 01:00:45,120
Speaker 2: Good Thief please check it out. And let's see a

1218
01:00:45,160 --> 01:00:48,760
Speaker 2: tweet I like from Brittany Nichols at Bee as Hilarious

1219
01:00:48,960 --> 01:00:52,000
Speaker 2: tweeted strike knees to end. You know how many birds

1220
01:00:52,000 --> 01:00:57,080
Speaker 2: I can name? Now? It's too much? And if that's

1221
01:00:57,080 --> 01:00:59,640
Speaker 2: the metric, using like, oh no, I've become a bird

1222
01:00:59,680 --> 01:01:02,800
Speaker 2: watch in full, and now I can. I'm having arguments

1223
01:01:02,840 --> 01:01:05,200
Speaker 2: over what kind of hawks there are? I get it.

1224
01:01:05,360 --> 01:01:06,720
Speaker 2: Maybe outside a little to wait.

1225
01:01:06,760 --> 01:01:11,120
Speaker 4: I always saw her at was bish hilarious. Wow, I've

1226
01:01:11,120 --> 01:01:12,320
Speaker 4: been reading it wrong this whole time.

1227
01:01:12,760 --> 01:01:14,480
Speaker 2: I mean, I think I feel like it could be

1228
01:01:14,560 --> 01:01:16,520
Speaker 2: both because I used to read it like that too,

1229
01:01:16,600 --> 01:01:18,480
Speaker 2: and then I was like, well this b is, but

1230
01:01:18,560 --> 01:01:20,840
Speaker 2: it's also look it's it's up to the reader.

1231
01:01:21,080 --> 01:01:22,360
Speaker 4: She's a great she's a great writer.

1232
01:01:22,440 --> 01:01:25,160
Speaker 2: I think we can oh, we can all agree on that.

1233
01:01:25,560 --> 01:01:28,040
Speaker 4: Where can people find you? What's the piece of enjoying?

1234
01:01:28,280 --> 01:01:31,160
Speaker 1: Asking you can find me a Jack Underscore ol Brian.

1235
01:01:31,880 --> 01:01:36,080
Speaker 1: Uh tweet I'm enjoying is from Brian Jordan now Rez,

1236
01:01:36,600 --> 01:01:45,400
Speaker 1: who tweeted Courtyard Marriott Marian court Yard really makes you think, and.

1237
01:01:45,360 --> 01:01:48,600
Speaker 2: It did all night. Couldn't stop thinking about it.

1238
01:01:50,120 --> 01:01:53,080
Speaker 4: Sorry, you guys should be saying an ex that I like,

1239
01:01:53,240 --> 01:01:54,320
Speaker 4: not a tweet that I like.

1240
01:01:54,360 --> 01:01:56,840
Speaker 2: Fun that absolutely or.

1241
01:01:59,000 --> 01:02:05,080
Speaker 1: I will not I did formerly known as Twitter, you

1242
01:02:05,600 --> 01:02:08,360
Speaker 1: every publication in America.

1243
01:02:08,800 --> 01:02:10,320
Speaker 4: I'm sorry. Check where people can find you.

1244
01:02:11,080 --> 01:02:15,360
Speaker 1: Uh, you can find me at Jack Underscore, Brian on Twitter, Twitter,

1245
01:02:16,640 --> 01:02:19,479
Speaker 1: find us on Twitter at daily Zeicheist, read d Daily

1246
01:02:19,520 --> 01:02:22,240
Speaker 1: Zai Guist on Instagram. We have Facebook fan page and

1247
01:02:22,280 --> 01:02:24,880
Speaker 1: our website daily zeikes dot com. We post our episodes

1248
01:02:24,920 --> 01:02:27,720
Speaker 1: on our footnote good notes. We're we link off the

1249
01:02:27,760 --> 01:02:30,120
Speaker 1: information that we talked about today's episode, as well as

1250
01:02:30,120 --> 01:02:33,040
Speaker 1: a song that we think you might enjoy. Miles, what

1251
01:02:33,200 --> 01:02:35,080
Speaker 1: is the song that you think people might enjoy?

1252
01:02:35,240 --> 01:02:37,840
Speaker 2: I think we're gonna go out on a little bit

1253
01:02:37,880 --> 01:02:41,240
Speaker 2: of some UK rap here some drill from quang face

1254
01:02:41,440 --> 01:02:45,680
Speaker 2: k w e n g f ace E. This is

1255
01:02:45,720 --> 01:02:49,120
Speaker 2: the remix to the track Freedom. It's called Freedom too

1256
01:02:50,120 --> 01:02:53,400
Speaker 2: with Joy Orbison and over Mono I think are the

1257
01:02:53,640 --> 01:02:56,000
Speaker 2: beat makers that that flipped the beat. But anyway, Freedom

1258
01:02:56,160 --> 01:02:59,800
Speaker 2: with the number two by Quang Face get inwit do

1259
01:02:59,840 --> 01:03:01,640
Speaker 2: it all right? Well, we will link off to that

1260
01:03:01,680 --> 01:03:03,600
Speaker 2: in the footnotes of the daily is the production of

1261
01:03:03,640 --> 01:03:05,000
Speaker 2: iHeartRadio for more podcasts.

1262
01:03:05,040 --> 01:03:07,360
Speaker 1: My Heart Radio is the iHeartRadio, w ap Apple podcast

1263
01:03:07,400 --> 01:03:09,680
Speaker 1: or wherever you listen to your favorite shows. That is

1264
01:03:09,680 --> 01:03:12,480
Speaker 1: going to do it for us this morning. We are

1265
01:03:12,600 --> 01:03:16,040
Speaker 1: back on Monday with an episode where Miles and I

1266
01:03:16,080 --> 01:03:17,800
Speaker 1: are gonna tell you what was trending over the weekend.

1267
01:03:17,880 --> 01:03:21,440
Speaker 1: We'll tell you stuff we think is overrated underrated Monday

1268
01:03:21,680 --> 01:03:24,560
Speaker 1: like early afternoon ish and then Tuesday with.

1269
01:03:24,560 --> 01:03:27,360
Speaker 2: A special episode and we'll talk to you all.

1270
01:03:27,360 --> 01:03:28,880
Speaker 3: Then have a great Oh and there there will be

1271
01:03:28,880 --> 01:03:32,160
Speaker 3: a highlight reel of the best of this week over

1272
01:03:32,200 --> 01:03:37,280
Speaker 3: the weekend the weekly, so much shit for you guys

1273
01:03:37,280 --> 01:03:37,920
Speaker 3: to pay attention to.

1274
01:03:38,120 --> 01:03:40,600
Speaker 4: Did you guys do like a VH one countdown style.

1275
01:03:41,960 --> 01:03:45,080
Speaker 2: Of our greatest hits of number five this week?

1276
01:03:45,320 --> 01:03:48,720
Speaker 4: Number five to you by Coca Cola Classic.

1277
01:03:49,120 --> 01:03:52,720
Speaker 1: That's right, that's we're leaving money on the table by

1278
01:03:53,080 --> 01:03:57,520
Speaker 1: doing that. Yeah, any right, we'll talk to y'all on Monday.

1279
01:03:57,520 --> 01:03:57,880
Speaker 8: Bye.

1280
01:03:58,360 --> 01:04:01,880
Speaker 4: Thank you have dreams that fruits and fruit