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Speaker 1: Hello the Internet, and welcome to season sixty two, episode

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Speaker 1: one of Dear Daily's Eight Guys the Podcast, where we

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Speaker 1: take a deep dive into America's share consciousness using the headlines,

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Speaker 1: box office reports, TV ratings, what's trending on googs and

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Speaker 1: social medias. It's Monday, December seventeen, two thousand eight teen.

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Speaker 1: My name's Jack O'Brien a k I was Jack o'bri

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Speaker 1: and when I met you, Kato's o'bri and when I

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Speaker 1: left you us courtesy of the reason my ster on Twitter,

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Speaker 1: and I'm thrilled to be joined as always buy my

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Speaker 1: co host Mr Miles Great. It's a thin line between

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Speaker 1: Mars and grave and that's all I'm gonna say. Thank

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Speaker 1: you to J. F. Despress at a k A at

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Speaker 1: Revenue Saints for that one, because it is a thin

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Speaker 1: lawn between love and hate. Great movie with Martin Lawrence too. Yes,

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Speaker 1: you remember that, one of the great death I believe

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Speaker 1: it's on the f L hundred Greatest Movies. You have

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Speaker 1: the criteria collection. I do actually steal books. Yeah. The

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Speaker 1: director's cut is amazing. Yeah yeah, yeah, there's some alternate

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Speaker 1: endings that will blow your There is an extended dance

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Speaker 1: sequence where Martin Lawrence is wearing fake teeth. Oh yeah, yeah,

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Speaker 1: he's breaking it down. Yeah, it's right. Well, we are

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Speaker 1: thrilled to be joined once again by an old favorite,

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Speaker 1: one of the funniest people who've ever had on this show. Yeah,

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Speaker 1: she's been gone, a prodigal daughter on the East Coast

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Speaker 1: doing work. Uh, and we're thrilled to have her back.

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Speaker 1: Lacey Mosley, what's up, Zychan, it's me. Lacey's mom got

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Speaker 1: it going on. Yeah, we're gonna go late fun. That's

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Speaker 1: she has. Oh wait, I saw a photo of your mom.

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Speaker 1: I was like, yeah, sister, I'm really tired. I'm tired

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Speaker 1: of that ship. Man. I'll be blocking. I'll be kind

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Speaker 1: of blocking on my mom's hardcore because I stup used

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Speaker 1: to be cute. Like you know, you'd be like, oh,

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Speaker 1: thanks so much. I have a great game pool and

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Speaker 1: I'd like my chill get out. My mom's dams like

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Speaker 1: happening right here. They're really trying it. But mc dank

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Speaker 1: at mcdank on Twitter, thank you for that. It really

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Speaker 1: touched me. I know, I also like your Twitter name.

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Speaker 1: I like that. You know, they did their research. They

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Speaker 1: were like, you know, Lacy's Mom's got it go WHOA

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Speaker 1: shouldn't have used it anyway? Get Twitter on the phone.

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Speaker 1: All right, we're gonna get to know you a little

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Speaker 1: bit better and what you've been up to. But first

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Speaker 1: we're gonna tell our listeners a little bit of what

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Speaker 1: they're in store for or what's in store for them. Yeah,

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Speaker 1: somebody told me I said that wrong. What's in store for?

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Speaker 1: What they're in store for? That doesn't make sense, does it? Yea?

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Speaker 1: This is a second rd podcast, man, this isn't Grammar City.

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Speaker 1: We're gonna talk about let's use a bunch of fake

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Speaker 1: sayings now from now on. Yeah, we are going to

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Speaker 1: about talk what was trending on Instagram in two thousand eighteen.

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Speaker 1: They've released their list of I don't know random information.

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Speaker 1: And then we're also going to talk about some scammers

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Speaker 1: on Instagram because we have the scam God with us

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Speaker 1: in studio. We're gonna talk about Rudy Giuliani's take on

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Speaker 1: Michael Cohen. We're gonna talk about terribly sad story happening

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Speaker 1: at the border and the fact that Johnson and Johnson

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Speaker 1: baby powder had asbestos in it all this time and

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Speaker 1: they've been covering it up since nineteen seven. I knew

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Speaker 1: I didn't like that smell for a reason. And then

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Speaker 1: we have a couple of fun stories at the end

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Speaker 1: to lighten things up. But first, Lacy, what is something

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Speaker 1: from your search history that's reeling about who you are? Where?

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Speaker 1: Where are you been? Okay? Um black Cowboy memes. Yeah,

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Speaker 1: that came up immediately, and I think it's because, um,

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Speaker 1: I really enjoy on Instagram like flex oh man shout.

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Speaker 1: I don't want to say this. I don't want to

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Speaker 1: jinx this ship. But the Cowboys have been doing pretty

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Speaker 1: well this season. I'm a Cowboys fan, if you know me,

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Speaker 1: I'm down for the d not to trade that. Come on, guys, Dallas. Um.

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Speaker 1: And yes, they've been doing very well. And I have

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Speaker 1: been using memes and gifts to flex on you know,

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Speaker 1: people who are less fortunate very often. So, but I

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Speaker 1: don't want to say anything about it because I just

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Speaker 1: don't want to jinx it. Like it's been so long,

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Speaker 1: so so long since we've had like we've had a

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Speaker 1: successful season. I mean honestly, everybody thinks until Jerry Jones dies,

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Speaker 1: like we're not gonna win a super Bowl, So that's

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Speaker 1: Greaters fans who felt that way by Al Davis. Once

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Speaker 1: Al Davis is dead man, yeah, then we're going to

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Speaker 1: put it together. Yeah. But Jerry Johnson is probably gonna

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Speaker 1: live for a long time, so we have he's so

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Speaker 1: he will, oh for sure. You know he got a

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Speaker 1: facelift when I was eight years old. He has a

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Speaker 1: face lift. Bro, You don't know. This is Jerry John's

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Speaker 1: second face. Yes, space, it just settled in Okay for

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Speaker 1: a while. He was looking he was real tight. Yes. Yeah.

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Speaker 1: I thought he was just traveling in a very fast

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Speaker 1: car all the time and he just got out. He

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Speaker 1: looked like the feeling when you wash your face and

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Speaker 1: don't put any moisturizer on it, like yeah, yeah, but

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Speaker 1: he looked like that. How he looked. Black cowboy means

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Speaker 1: specifically black cowboy. Yeah, and I got a bunch of

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Speaker 1: blazing saddles. Oh yeah. You gotta really dodge the racism

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Speaker 1: when you bring it in. It's a lot of racism

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Speaker 1: that pops up. I was just talking about that on Twitter.

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Speaker 1: You gotta know when somebody's gonna do racism to you.

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Speaker 1: And when I google this, like, I'm fully prepared for

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Speaker 1: people to do racism to me. Via the internet. But

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Speaker 1: but then I find some fun, like you've seen those

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Speaker 1: like those gifts or those videos of the two cowboys

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Speaker 1: who are black and they dance and sinc No, I

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Speaker 1: don't think, oh my god, are you serious? These videos

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Speaker 1: are what are they dancing too? Are they line dancing

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Speaker 1: or they like, well, no, it's rocket. They're just literally

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Speaker 1: in a parking lot in cowboy hats and they dance

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Speaker 1: to music. It's so lit. One of them looks like

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Speaker 1: Carl Tart. You're gonna be oh wait wait, okay, no,

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Speaker 1: I have seen. I didn't realize that was like a

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Speaker 1: whole I don't know it was a phenomenon. Oh yeah, yeah,

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Speaker 1: it's very late. Guys, go look at those they're very fun.

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Speaker 1: So you use that to just as you're just not

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Speaker 1: all people. Yeah, okay, well you know, because I look

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Speaker 1: down at black cowboy music, I see a lot of

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Speaker 1: Michael Jordan's l faces with cowboy hats on. People trying

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Speaker 1: to flame you. But hey, yeah, that's disrespect. You got

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Speaker 1: to call him through the disrespect. But being a Cowboys

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Speaker 1: fans it, but we're America's teams, listen, don't do that.

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Speaker 1: The Patriots are America's team, right, now yeah, yeah, well anyway,

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Speaker 1: I think the gifts come from YouTube video how people

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Speaker 1: from Texas dance tipp Yes, yes, it's very funny, very funny,

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Speaker 1: well done. What is something you think is underrated? Um? Underrated? Okay,

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Speaker 1: this is gonna be real basic. But I've been in

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Speaker 1: Savannah and I've been kind of really tuned out to

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Speaker 1: the world. I was working like a ship to um

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Speaker 1: and then other than that, like you know, it was

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Speaker 1: very beautiful there and I would take walks walks walks, y'all.

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Speaker 1: What is that like like when you go to the bathroom,

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Speaker 1: Like when I go from the studio to the bathroom,

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Speaker 1: right right. I feel like we love to work out

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Speaker 1: shame people and be like, you know, like, oh man,

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Speaker 1: I just did a tough mutter. I just crawled. Like

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Speaker 1: we make we make some bullshit where we like make

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Speaker 1: mud and dirt and stuff for you and then you

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Speaker 1: pay top dollar to crawl through that ship so you

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Speaker 1: can get on Instagram and be like I just did

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Speaker 1: a really hard work right right. Meanwhile, they set this

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Speaker 1: whole course up for you. This is not in the

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Speaker 1: wild like you know, marathons, like like working out, you know, diets.

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Speaker 1: It's all about do you know, doing the hardest thing.

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Speaker 1: And you know, even CrossFit, getting popular CrossFit is just

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Speaker 1: like abuse, that's just body abuse. You know, people like

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Speaker 1: to get listen, I get there like I'm bleeding. Oh

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Speaker 1: it was a workout. So like I just really enjoyed

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Speaker 1: going on walks, like long walks and not like like

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Speaker 1: the walks you put all your dating profile like I

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Speaker 1: love long walks. It sounds like you literally just said

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Speaker 1: I love long walks. Difference when I'm there, I'm like

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Speaker 1: air punching, I'm making really kicking down the street. You know,

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Speaker 1: you know I do two steps and I did do

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Speaker 1: some push ups, like because think about if you're not

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Speaker 1: going to work out one day, if you just walked

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Speaker 1: on a day that you weren't going to work out

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Speaker 1: at all, I mean, that still counts for something. And

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Speaker 1: you can read this some I mean in l A

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Speaker 1: is some dirty as air. But you but I do

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Speaker 1: think exercise aspect aside, fitness aspects aside, like just enjoying

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Speaker 1: when you were able to go somewhere where you can

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Speaker 1: take a nice walk, like when I was up in

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Speaker 1: the Bay Area, like for Thanksgiving, we went like near

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Speaker 1: the uh where was that like point Reyes and took

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Speaker 1: like a nice walk and I was like, damn, man,

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Speaker 1: fucking earth. Huh. Yeah, i'mall like, and you can notice

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Speaker 1: some ship too, especially at night because there's less light

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Speaker 1: pollution so you can see the stars. Yeah, we'll shout

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Speaker 1: out to you for walking at night. That ain't my bad.

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Speaker 1: I'm gonna keep these lady parts safe up in the

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Speaker 1: jar a night. But during the day, did you get

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Speaker 1: a lot? Did you eat a lot of Zaxby's? Fully

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Speaker 1: missed Zaxby's and I'm meant to go and I just

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Speaker 1: kind of missed my window. But I ate around Savannah.

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Speaker 1: I ate every barbecue. Okay, I can go there either. Okay,

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Speaker 1: it was some spots that I missed, but we went

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Speaker 1: to almost every restaurant. No, wait, I'm confusing. It's not

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Speaker 1: slow slow in Detroit. There's another place. The one time

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Speaker 1: I went to Savantage, Georgia, I tweeted at Big Boy

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Speaker 1: from Outcast and I was like, Hey, where do I go?

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Speaker 1: And he actually tweeted me back and I was like, really,

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Speaker 1: it's a real one. Brought me on stage once when

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Speaker 1: I was trying to trick one of these this like

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Speaker 1: I had a student visitor. I used to give tours

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Speaker 1: on my campus and she was black, and I was

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Speaker 1: trying to trick her to come to our school and

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Speaker 1: I was like, oh, yes, lit lots of black people.

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Speaker 1: You definitely don't have a good black ass time. And

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Speaker 1: so I took her to this outcast concert that happened

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Speaker 1: on Carnegie Moutain's campus randomly, and Big Boy was there,

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Speaker 1: and I was like, he was like bringing people up

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Speaker 1: on stage, and I was trying to give her like

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Speaker 1: a once in a lifetime experience and I was like, oh,

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Speaker 1: big Boy. He was like yeah, y'all, come on up.

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Speaker 1: He was very nice. And then I went him again

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Speaker 1: at a nightclub and he gave me a huge tip

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Speaker 1: and was like super nice. Yeah, And that girl was

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Speaker 1: very upset when she came to the school and realized

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Speaker 1: that it was and not lit. Same Bamboo looks like

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Speaker 1: he's getting football too. He told me go to tricks

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Speaker 1: barbecue trick. That's what. Literally, I will still favorite this

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Speaker 1: tweet to the end of my days. Yeah, big Boy,

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Speaker 1: we are out here, We are out here. Big wait

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Speaker 1: big boys sons. Bamboo. Yeah, his son's name Bamboo. Yeah, man,

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Speaker 1: that's lit. You know you live when he says that

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Speaker 1: didn't bombs over bad dad? Does he really? I thought

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Speaker 1: he was just talking about Bamboo. No, no, no, no,

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Speaker 1: he has his his son his name Bamboo. That's awesome.

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Speaker 1: I just can't wait until I'm rich enough and enough

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Speaker 1: to name my kids whatever I want because it doesn't

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Speaker 1: matter in their success. My son car keys like it

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Speaker 1: does not matter. Just teslah. Yeah, okay, let's the brains

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Speaker 1: from some child names. Child lex names later. For some reason,

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Speaker 1: I thought Andre had Bamboo, and that's probably just because

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Speaker 1: his kid's name seven, right, yeah, seven, But by the

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Speaker 1: time it will probably be six the day in the

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Speaker 1: life Andre Benjamin. That's his child with Erica Bado, right, yeah, yeah,

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Speaker 1: Bamboo and seven lazy. What is something you think is overrated? Okay,

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Speaker 1: I'm gonna get shade for this. But the Stars wore soundtrack?

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Speaker 1: Turn that shut off? All right? All right? Was done?

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Speaker 1: All right? We listened to it? Yeah, Bradley Cooper can

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Speaker 1: growl on the microphone? Who can't? Um? Also, I want

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Speaker 1: to shame all of you who've been playing this album

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Speaker 1: a lot, because y'all are the same people who disrespect

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Speaker 1: Creed And this is create music. This is literally create music.

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Speaker 1: Scott Staff that's the lead singer Creed. Did I have

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Speaker 1: to google that? Absolutely, But he's been growling on audio

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Speaker 1: for decades. Yarlett side, look fold Look what I just

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Speaker 1: did there? Look how but Nickelback is also yar But

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Speaker 1: she's saying, I think, right, right right, I'm gonna throw

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Speaker 1: them into Okay, So you're saying you're saying that the

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Speaker 1: Jackson Main songs are you're just saying you're coming after

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Speaker 1: creating on like it, or you're saying that people are

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Speaker 1: just playing it too much. I'm saying they're hyping it

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Speaker 1: like it's not music that we used to make fun

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Speaker 1: of people for enjoying. Yeah, I don't like the Jackson

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Speaker 1: Main songs on that soundtrack. I like just shallow. Yeah,

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Speaker 1: And I don't even really listen to it. People look

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Speaker 1: at my Spotify though, I have that one song downloaded

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Speaker 1: to my Spotify, Like, so when I go on the plane,

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Speaker 1: I can't listen to that song. It makes me cry.

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Speaker 1: I'll never see that movie. That ship was so goddamn sad.

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Speaker 1: It was disrespectful. I started yelling in the movie when

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Speaker 1: I predicted the sadass movie, like I predicted the ending. Obviously,

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Speaker 1: this movie has come out four times isn't really a spoiler,

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Speaker 1: but I'm gonna still give y'all spoiler in case you

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Speaker 1: don't know what happens at the end of Stars Board

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Speaker 1: Get Your Ship Together, but here Come, Here Come Yeah, yeah, yeah,

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Speaker 1: So the one precursor they give us when Homie is

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Speaker 1: about to offer himself when they're just sitting in the

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Speaker 1: rehab center, he's like, yeah, by the way, I'm suicide.

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Speaker 1: I hell, you don't kill himself. And mind we watched

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Speaker 1: I watched this movie in Savannah right after the Kavanaugh

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Speaker 1: situation where he was getting confirmed, and we were like,

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Speaker 1: let's go watch an uplifting movie. R though masses had

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Speaker 1: no ideas like lady guy got gon fall in love

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Speaker 1: with this fine man, We're gonna see his abs. This

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Speaker 1: is feel good movie. That ship was so it was

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Speaker 1: aggressively sad. I love though that you had no context

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Speaker 1: for what you were jumping into because they are all

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Speaker 1: basically the same premise premise And it was a millenial moment.

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Speaker 1: It was a millenial moment for me of like this

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Speaker 1: movie is this is the fourth iteration of this movie

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Speaker 1: and I still had no idea. And when I yelled

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Speaker 1: out all hell, he's gonna kill himself in the movie theater.

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Speaker 1: This lady behind me got up and left. Yes. I

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Speaker 1: was like, damn, I'd upset that lady. I will ye,

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Speaker 1: And that's what it was. You you're on the right track.

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Speaker 1: She came back in. Look at you, Jack. She came

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Speaker 1: back in and she whispered to her little old lady friend.

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Speaker 1: She said, is it over? And her friend was like, yeah, yeah,

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Speaker 1: it's over. She was like, good good. I'm like, look

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Speaker 1: at me being a blessing? Right, yeah, just too much.

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Speaker 1: So don't tell black folks not to yell in the

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Speaker 1: movie theater. It might be we might be saving uh.

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Speaker 1: And finally, what is a myth? What something people think

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Speaker 1: it's true you know, to be false. Well, we were

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Speaker 1: just talking about this, um and it's it's just a

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Speaker 1: fun one, a light one. Um. So I was obviously

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Speaker 1: gone working on a TV show for a little while,

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Speaker 1: and obviously while we were here meddling in our second

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Speaker 1: rate podcast teams. Please, I love this, I love us.

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Speaker 1: I missed you guys. Can we have a hug? Can

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Speaker 1: I hug you? Dizzy? Are we hugging right now? All right? Not? Alright?

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Speaker 1: No one, such everyone, No one touch my hair. I

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Speaker 1: love you guys, But like I learned that when you

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Speaker 1: see actors who direct, and this kind of does throw

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Speaker 1: back to a star is born, Like when you see

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Speaker 1: actors who direct and they're like, oh, they directed this movie,

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Speaker 1: just please know that they did not direct it. And

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Speaker 1: by that I mean, like directors have very complicated jobs

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Speaker 1: where they have to like make shot lists and make

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Speaker 1: sure they get coverage, which I know that word may

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Speaker 1: not mean it's like a jargon word, but like there's

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Speaker 1: a lot of complicated stuff that goes into directing something.

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Speaker 1: And when actors direct projects, like when you see TV

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Speaker 1: shows and it's like this this episode was directed by

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Speaker 1: so and so. I promise you they just put on

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Speaker 1: a cute outfit. They came in, they made lots of

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Speaker 1: hand emotions. They probably told people how to say a

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Speaker 1: line or two, and that was it. That's not directed.

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Speaker 1: I just want you to know. And you said what

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Speaker 1: I thought was directing absolutely, because I fully was like,

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Speaker 1: Oh why can't I wait to start my directing career?

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Speaker 1: It is easy. I listened gesticulation a bit. She got

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Speaker 1: it covered. You know what I mean? Do you have

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Speaker 1: your right I don't have a face for glasses. Okay, okay,

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Speaker 1: don't you should, but you need a quirky hat like

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Speaker 1: a old right. I also don't have a hair for hat. Yeah,

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Speaker 1: I'm not even kidding. Once I spit all hats, that's

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Speaker 1: some bullshit because they don't fit my head. My head's

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Speaker 1: too big. Yeah. Every time I say once I fed

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Speaker 1: all hats, they don't fit. My mom has to encourage

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Speaker 1: mehen I was a kid, she was like, but that's

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Speaker 1: good for you wear like a seven and five as Oh,

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Speaker 1: I think it's like eight. Wow big. It's probably because

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Speaker 1: you've got you got a thick hair too. Yeah, yeah,

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Speaker 1: I know you're coming from my we've t anything about

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Speaker 1: actual layer. That's like your mom's right. Actors who appear

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Speaker 1: on TV and film all have huge, big old heads, yes,

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Speaker 1: but yeah, Directing is like one of those things I

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Speaker 1: think a lot of people take for grant or not

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Speaker 1: that they take for granted, but don't realize like how

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Speaker 1: collaborative it really is to direct and do well. Like

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Speaker 1: you know, you know with people we look at, we're like, oh,

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Speaker 1: Fonso Croon or whatever his DP Emmanuel Lubeski, like they

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Speaker 1: were constantly winning like hand in hand DP and director

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Speaker 1: like Academy Awards, and you realize just how much you

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Speaker 1: know that one needs the other. Someone has the vision

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Speaker 1: for that. And of course directors do do a lot,

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Speaker 1: so I don't want to say that there are definitely

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Speaker 1: people who they come in and there I'm directing when

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Speaker 1: the creative infrastructure is already there for them to just

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Speaker 1: sort of say, you know, give their notes here and there,

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Speaker 1: and a D s like that's a job that like

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Speaker 1: you hear assistant director and you're like, yeah, whatever, Like

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Speaker 1: my uncle is the first a D to this day

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Speaker 1: still and it's the hardest fucking job because you have

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Speaker 1: to scream at everybody. Yeah, you do the hard part

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Speaker 1: of the director's job, which is like making sure everybody

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Speaker 1: fucking is where they needed to exactly and pre empt everything.

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Speaker 1: We're like, okay, we're this far off from meeting to

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Speaker 1: set up okay blah blah. Yeah he I don't know

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Speaker 1: how my uncle needs to retire, but he's still he's

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Speaker 1: still out here. But directing, I mean, can be a

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Speaker 1: really hard job because it's, you know, you're running a business. Basically,

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Speaker 1: you are running a very complicated a lot of operation

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Speaker 1: that just started like right that day, Like you're having

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Speaker 1: to this it's like running a startup every day. But yeah,

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Speaker 1: I mean there's other ways that you can offload the

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Speaker 1: directing duties. Yeah for sure. Yeah. That being said, I

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Speaker 1: fully planned to, you know, give my name on some

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Speaker 1: stuff as a just No, I wasn't really doing ship,

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Speaker 1: you know what I mean. Absolutely I wish with my scam. Yeah,

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Speaker 1: but I think you also capable of a good finesse

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Speaker 1: scam to where you would be like, well, this is

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Speaker 1: my vision from the beginning. Absolutely, the DP was a

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Speaker 1: joke and you're like you were working with Emmanuel Lubetti.

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Speaker 1: He's a fake, you mean, loser to producer around and

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Speaker 1: hosing it. By the way, as we're going to break,

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Speaker 1: just let us know that when Miles is asking with

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Speaker 1: the name of Alfonso Kroons, DP was she kept saying

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Speaker 1: chiev oh, and he was like, no, that's not it.

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Speaker 1: That is his name. I need his legal name, his

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Speaker 1: Christian name. So well done to producer on the Hosny. Alright,

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Speaker 1: we're gonna take a quick break and we'll be right back.

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Speaker 1: And we're back. And Instagram has clued us into what

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Speaker 1: was going on on on the Graham on their platform

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Speaker 1: In two thousand eighteen. I guess love is popular. Is

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Speaker 1: a popular emotion? Well, they're talking about the most used emojis,

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Speaker 1: most used Instagram stickers, So the most used face filter

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Speaker 1: on Instagram stories, hard eyes, most used Giffy sticker on stories,

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Speaker 1: the heart love sticker by huh number of times the

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Speaker 1: heart emoji was used in comments fourteen billion. Yeah, but

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Speaker 1: that's not about love, well, I think, but I think

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Speaker 1: just in Jed, I think that's just the most overused

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Speaker 1: emoji is probably what it is because it's all fake love.

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Speaker 1: It's like, yeah, oh my god, I love your vacation.

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Speaker 1: It's easier than having the same words. But also the

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Speaker 1: heart filters probably the most popularly because that ship was

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Speaker 1: makeup on you. Oh what do you mean? Hard eyes

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Speaker 1: gives you blush concealer, flattens everything and makes your face skinny.

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Speaker 1: Oh that's why I love it. I look so good

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Speaker 1: in it. But there's also some other things too. They said,

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Speaker 1: um that the happiest geo tag location in the world

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Speaker 1: Disneyland Tokyo, because it had the most used of the

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Speaker 1: smiley face emoji. And that's not surprising to me though, Yeah,

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Speaker 1: because it's already like Asian people are about the emojis

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Speaker 1: was going to get and then you add tokyo and yeah, yeah,

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Speaker 1: that's just the emoji game is. I mean, we gave

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Speaker 1: y'all emoji, so the word is emo. It would be welcome.

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Speaker 1: We being me, I'm my mother. Yes, we worked very

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Speaker 1: hard in the lab getting this game. Thanks to the

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Speaker 1: Unicode Consortium for allowing this, because those are people who

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Speaker 1: run the emoji game. I was surprised by the top

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Speaker 1: niche community trend because this seems like a sort of

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Speaker 1: just fake trend to me. A s MR is the

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Speaker 1: top community. I feel like, well, because I get what

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Speaker 1: you just get your kicks for one minute. And the

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Speaker 1: videos yeah, well it's like you know, people have that

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Speaker 1: brain tingly thing. But it seemed to me like it

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Speaker 1: was like more of a novelty story where people were

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Speaker 1: like smr, like those videos are getting people are because

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Speaker 1: it's not just people talking. I personally like to watch

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Speaker 1: the Crunchy ones. Oh yeah yeah yeah. So it's like

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Speaker 1: where people make slime and then they like sometimes they

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Speaker 1: make heart slime, or they'll make phone where they don't

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Speaker 1: like have something and like I don't know, it'll be

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Speaker 1: like a sharp object, but they'll have an even sharper

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Speaker 1: object cutting it, and it's just like yo, like watching

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Speaker 1: it is just like, oh I watched it so much

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Speaker 1: that it comes up in my sport page. Just like

409
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Speaker 1: maybe I don't want to watch you want to watch

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Speaker 1: people cut this soap? Yes? You know my heart Instagram? Yeah,

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Speaker 1: because it's not even just people talking, although I think

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Speaker 1: that Chee doesn't talk these girls, so I think the

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Speaker 1: other thing too, is like the haircut one. Like I've

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Speaker 1: heard too that. I'm like, I don't get the feeling,

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Speaker 1: so I'm not fully into it. But like when you

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Speaker 1: kind of listen to you, like, oh I could see

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Speaker 1: maybe I was getting haircut, Like that feeling is great.

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Speaker 1: Well that's your privilege. You know, you're not just crying

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Speaker 1: with a hair clippers in the bathroom. Girlfriend asked you

420
00:22:30,680 --> 00:22:32,480
Speaker 1: what's wrong in there? And I'm like, I think I

421
00:22:32,520 --> 00:22:38,040
Speaker 1: don't have no more hair. But like it went a

422
00:22:38,080 --> 00:22:40,960
Speaker 1: little broader because at first the only thing it was

423
00:22:40,960 --> 00:22:44,920
Speaker 1: was like people whispering and like fingernails tapping, And now

424
00:22:44,920 --> 00:22:48,560
Speaker 1: it's like gone to all things, like all sensory experiences

425
00:22:48,600 --> 00:22:53,280
Speaker 1: that are kind of weird, but yeah, somewhat enjoyed being

426
00:22:53,359 --> 00:23:00,480
Speaker 1: a twins. They're going to be seen as the brothers

427
00:23:02,960 --> 00:23:09,359
Speaker 1: whispering to them. It's just like if it's soft soft

428
00:23:10,720 --> 00:23:14,520
Speaker 1: he was saying. We're like yeah, yeah, sure, sure, that

429
00:23:14,680 --> 00:23:19,000
Speaker 1: is such a wild life totally he's soft. Like do

430
00:23:19,040 --> 00:23:20,480
Speaker 1: you want to see if it's well? I think he

431
00:23:20,600 --> 00:23:22,840
Speaker 1: was saying, He's like, mind if I touch it and

432
00:23:22,840 --> 00:23:24,680
Speaker 1: see if it's soft? Could say he got a sexy

433
00:23:24,760 --> 00:23:29,800
Speaker 1: has body, Yes, looks so see And I was like sure,

434
00:23:29,920 --> 00:23:32,760
Speaker 1: I mean you asked me, I mean, do you mind

435
00:23:32,800 --> 00:23:34,879
Speaker 1: if I touch it just to see if it's soft?

436
00:23:35,280 --> 00:23:38,480
Speaker 1: Whispered just to confirm my suspicions, because your ass is

437
00:23:38,520 --> 00:23:43,800
Speaker 1: looking soft? Yeah? Any like boys, it would sound so

438
00:23:43,880 --> 00:23:47,520
Speaker 1: much better. That might be like cat collars. Here's one.

439
00:23:47,800 --> 00:23:50,560
Speaker 1: Maybe try whispering people on the street. That might be

440
00:23:50,640 --> 00:23:55,200
Speaker 1: an approach that works. Actually, that might be real creepy.

441
00:23:56,320 --> 00:24:03,520
Speaker 1: It's less aggressive. It look just creep seems like they're

442
00:24:03,560 --> 00:24:06,720
Speaker 1: just trying to hide it. But also like yeah, yeah,

443
00:24:06,760 --> 00:24:09,480
Speaker 1: but then you would also have to like huh, yeah,

444
00:24:09,560 --> 00:24:12,920
Speaker 1: I can't hear you. What did you say that I've

445
00:24:12,920 --> 00:24:15,400
Speaker 1: ever given any heckler on the street. But then they'll

446
00:24:15,440 --> 00:24:20,080
Speaker 1: maybe be embarrassed, like what your ass is looking good?

447
00:24:20,520 --> 00:24:24,760
Speaker 1: You're soft? Do you mind if to see if you

448
00:24:24,800 --> 00:24:26,920
Speaker 1: know now that I say it out last, the sound

449
00:24:26,960 --> 00:24:29,480
Speaker 1: is good. I apologize. I'm going to get back to

450
00:24:29,560 --> 00:24:32,679
Speaker 1: work and your soft have a great dance. Actually I

451
00:24:32,680 --> 00:24:35,240
Speaker 1: have to get back to auto zone. Yeah that's where

452
00:24:35,240 --> 00:24:38,679
Speaker 1: they were. Yeah, but any think other interesting things. The

453
00:24:38,680 --> 00:24:43,000
Speaker 1: biggest growing hashtag community was obviously Fortnight for the top

454
00:24:43,080 --> 00:24:48,200
Speaker 1: dance movement in My Feelings challenge, there were I think

455
00:24:48,240 --> 00:24:50,000
Speaker 1: the funniest thing about those are all the people who

456
00:24:50,040 --> 00:24:51,880
Speaker 1: are sucking up their cars doing it. I know some

457
00:24:51,920 --> 00:24:53,840
Speaker 1: were fake, but other ones you were like, oh, you

458
00:24:53,960 --> 00:24:56,439
Speaker 1: really fucked your car up because you don't know how

459
00:24:56,520 --> 00:24:59,000
Speaker 1: to just let a car roll and drive like Derek's.

460
00:24:59,080 --> 00:25:00,639
Speaker 1: They're just like, yeah, I think I can keep up

461
00:25:00,640 --> 00:25:02,119
Speaker 1: with a car going ten miles an hour and a

462
00:25:02,160 --> 00:25:04,919
Speaker 1: slight incline or decline, yeah, or why not? It's a

463
00:25:04,920 --> 00:25:07,040
Speaker 1: two person job, guys. You can't just hop out of

464
00:25:07,040 --> 00:25:11,920
Speaker 1: your own car. Is like, get a driver, get the uber.

465
00:25:12,200 --> 00:25:15,080
Speaker 1: Somebody a driver Uber And I was like, look, I

466
00:25:15,160 --> 00:25:17,760
Speaker 1: just want you to do the philistic can you tape it?

467
00:25:17,800 --> 00:25:20,560
Speaker 1: I'll tip you. Another Instagram story we wanted to hit

468
00:25:20,600 --> 00:25:24,520
Speaker 1: on real quick is there's an Instagram influencer who was

469
00:25:24,640 --> 00:25:28,560
Speaker 1: offering her followers the chance to join her master's tribe,

470
00:25:29,280 --> 00:25:32,680
Speaker 1: Master not math, master tribe where she sounds like a

471
00:25:32,760 --> 00:25:37,080
Speaker 1: very problematic slave owner. Not a master tribe. Doesn't sound

472
00:25:37,119 --> 00:25:46,000
Speaker 1: like a problematic master, said, try master card. Trying to

473
00:25:46,480 --> 00:25:48,399
Speaker 1: cards away to that. I think I was trying to

474
00:25:48,400 --> 00:25:53,879
Speaker 1: make it sound like a master's program, but instead it

475
00:25:54,000 --> 00:25:57,280
Speaker 1: is master tribe where she would teach them all the

476
00:25:57,359 --> 00:26:01,240
Speaker 1: secrets to becoming a six figure in a gram travel blogger.

477
00:26:01,680 --> 00:26:04,359
Speaker 1: Because you know, that's what they deserve. That's what we

478
00:26:04,400 --> 00:26:06,800
Speaker 1: all deserve. Anyone who's on the wave, who's like I

479
00:26:06,840 --> 00:26:09,280
Speaker 1: need to be that has a very terrible sense of

480
00:26:09,280 --> 00:26:12,320
Speaker 1: self and what their entitlement is. That like my job

481
00:26:12,480 --> 00:26:16,480
Speaker 1: should be to take photos in first class, take photos

482
00:26:16,720 --> 00:26:19,200
Speaker 1: with my bag on the jetway. I don't know, I

483
00:26:19,480 --> 00:26:22,560
Speaker 1: don't know. I don't know if I agree with that. Okay,

484
00:26:22,560 --> 00:26:24,840
Speaker 1: well let me tell you something. Wait that you so

485
00:26:25,040 --> 00:26:28,720
Speaker 1: you do deserve that? Well one, I think that anything

486
00:26:28,760 --> 00:26:30,600
Speaker 1: that you want to be a career in America. That's

487
00:26:30,600 --> 00:26:32,359
Speaker 1: why we set this bullshit up this way, you know

488
00:26:32,359 --> 00:26:34,040
Speaker 1: what I mean, That's why we're getting shot every day,

489
00:26:34,160 --> 00:26:36,480
Speaker 1: Like this's what we're dying for is the fact is

490
00:26:36,480 --> 00:26:39,520
Speaker 1: the you know, opportunity to make your whole job flexing

491
00:26:39,560 --> 00:26:42,520
Speaker 1: on the ground. That's what we're died for. It. Let

492
00:26:42,520 --> 00:26:44,080
Speaker 1: me let me tell you if you're down with this program.

493
00:26:44,200 --> 00:26:46,600
Speaker 1: Fast of all, So this woman, her name is Aggie Law,

494
00:26:46,760 --> 00:26:49,280
Speaker 1: and she's at Travel Inner Shoes. I don't know what

495
00:26:49,680 --> 00:26:56,520
Speaker 1: travel in her shoes. Um. So she was offering people

496
00:26:56,520 --> 00:26:59,600
Speaker 1: a twelve week course for four hundred ninety seven dollars

497
00:26:59,600 --> 00:27:02,679
Speaker 1: called how to Grow your Instagram and she and you know,

498
00:27:02,680 --> 00:27:05,600
Speaker 1: you join her Master Tribe. You get behind the scenes

499
00:27:05,720 --> 00:27:09,800
Speaker 1: video from being broke to woke or not a joke. Uh.

500
00:27:09,880 --> 00:27:13,440
Speaker 1: The wild thing is three eight people signed up for

501
00:27:13,480 --> 00:27:17,480
Speaker 1: her program. So she pocketed a k for this. And

502
00:27:17,520 --> 00:27:18,919
Speaker 1: this wasn't the thing people had to show up in

503
00:27:18,920 --> 00:27:21,400
Speaker 1: physical space or like I'll send you videos and like

504
00:27:21,720 --> 00:27:24,679
Speaker 1: just advice and like interviews. It was and let me

505
00:27:24,720 --> 00:27:27,040
Speaker 1: tell you something, like two weeks in people like this

506
00:27:27,119 --> 00:27:28,959
Speaker 1: is a fucking scam. So the first piece of ice,

507
00:27:29,000 --> 00:27:33,320
Speaker 1: she was like, start your own. The first they started

508
00:27:33,320 --> 00:27:35,760
Speaker 1: smelling ship when they were like, I think a weekend,

509
00:27:35,840 --> 00:27:38,439
Speaker 1: she was like, Okay, here's my challenge to the Master Tribe.

510
00:27:38,760 --> 00:27:41,720
Speaker 1: I want you to share this course with your followers

511
00:27:42,160 --> 00:27:44,400
Speaker 1: and tell them to sign up, and you're like, oh,

512
00:27:44,640 --> 00:27:48,199
Speaker 1: we're building a pyramid, aren't we. Right, So even before

513
00:27:48,280 --> 00:27:52,280
Speaker 1: she has like hooked them when sort of brainwash exactly,

514
00:27:53,080 --> 00:27:56,320
Speaker 1: like just not how you do it. Yeah, and then

515
00:27:56,320 --> 00:27:57,760
Speaker 1: she's like, oh, and also I think getting them to

516
00:27:57,760 --> 00:28:01,200
Speaker 1: sell like her preset i G filters that they could buy. Yeah,

517
00:28:01,320 --> 00:28:03,880
Speaker 1: she had like that was like the challenges were basically

518
00:28:03,920 --> 00:28:07,440
Speaker 1: just multi level marketing ship. And then people then they're

519
00:28:07,440 --> 00:28:09,040
Speaker 1: they're like, yo, I want my money back, Like you're

520
00:28:09,080 --> 00:28:11,639
Speaker 1: not even giving a useful information. Some people were like

521
00:28:11,720 --> 00:28:13,560
Speaker 1: I loved it, but I think those are people who

522
00:28:13,600 --> 00:28:16,640
Speaker 1: probably have the disposable income to throw five dollars away

523
00:28:16,680 --> 00:28:19,399
Speaker 1: and be like that was fine. Um. But the funny

524
00:28:19,400 --> 00:28:21,960
Speaker 1: thing is they were saying they were promised six weeks

525
00:28:21,960 --> 00:28:24,800
Speaker 1: of videos, but like after that the videos kind of

526
00:28:24,800 --> 00:28:28,520
Speaker 1: stopped coming. And when BuzzFeed asked this woman, Aggie Law,

527
00:28:28,600 --> 00:28:30,639
Speaker 1: for comment about like what happened with the uploads, she

528
00:28:30,680 --> 00:28:32,679
Speaker 1: said she was unable to upload four out of sixty

529
00:28:32,760 --> 00:28:36,040
Speaker 1: six course videos due to quote hurdles with my health

530
00:28:36,080 --> 00:28:40,479
Speaker 1: and WiFi connectivity. Hurdles with my health and WiFi connect

531
00:28:41,440 --> 00:28:44,440
Speaker 1: over out in the desert, right, Yes, I think that's

532
00:28:44,440 --> 00:28:46,560
Speaker 1: what That's exactly what that means. But then a lot

533
00:28:46,600 --> 00:28:48,080
Speaker 1: of the people who are in the course were like

534
00:28:48,080 --> 00:28:50,440
Speaker 1: a little confused because like, how come you still uploading

535
00:28:50,440 --> 00:28:57,560
Speaker 1: your own content to your fucking pay Yeah, you know, guys,

536
00:28:57,600 --> 00:29:00,760
Speaker 1: it's coming. Don't worry, it's coming. Yeah, so she had to.

537
00:29:00,960 --> 00:29:02,600
Speaker 1: I think she gave a lot of refunds and was

538
00:29:02,600 --> 00:29:04,400
Speaker 1: just sort of like, oh, I hate to think that

539
00:29:04,440 --> 00:29:07,280
Speaker 1: people thought I was like trying to take advantage of them,

540
00:29:07,920 --> 00:29:10,880
Speaker 1: but you know, because that will not be profitable. Scam on,

541
00:29:11,040 --> 00:29:13,560
Speaker 1: you know, scam on. Shout out to her for giving refunds,

542
00:29:13,600 --> 00:29:15,680
Speaker 1: because that would have been like the first disclassed. The

543
00:29:15,680 --> 00:29:17,480
Speaker 1: thing was at first she was like I'm sorry, I

544
00:29:17,560 --> 00:29:19,840
Speaker 1: can't like this is what it is. And then she

545
00:29:19,920 --> 00:29:22,400
Speaker 1: did it on some platform like called Teachable or some

546
00:29:22,520 --> 00:29:25,680
Speaker 1: some kind of like online platform that they were, and

547
00:29:25,720 --> 00:29:27,400
Speaker 1: they have a thirty day policy. Were like, yo, if

548
00:29:27,400 --> 00:29:29,560
Speaker 1: you don't like it, you can get your money back. Yeah,

549
00:29:29,560 --> 00:29:31,720
Speaker 1: and other people after the thirty days, like, I still

550
00:29:31,760 --> 00:29:34,320
Speaker 1: want my money back. This is a blatant scheme or whatever.

551
00:29:34,720 --> 00:29:37,440
Speaker 1: They're like, oh sorry, Like even the woman was being

552
00:29:37,480 --> 00:29:39,960
Speaker 1: dodgy and then one person like threatened them with a

553
00:29:40,040 --> 00:29:46,000
Speaker 1: class action lawsuit and they're like, okay, here's your money back. Yes, people,

554
00:29:46,440 --> 00:29:52,960
Speaker 1: we're dumb enough to just pay fifty dollars. Is a

555
00:29:52,960 --> 00:29:58,040
Speaker 1: good scam. Numbers like ult and with processing fees, you're

556
00:29:58,040 --> 00:30:02,400
Speaker 1: definitely paying over five dollars. It's crazy, though, because she

557
00:30:02,440 --> 00:30:05,120
Speaker 1: could have just if she really wanted to be dedicated

558
00:30:05,160 --> 00:30:08,000
Speaker 1: to a good scam, this is a solid scamp, give

559
00:30:08,080 --> 00:30:10,880
Speaker 1: people some of this bullshit up front, like and then

560
00:30:10,960 --> 00:30:13,760
Speaker 1: hook him with the spread the word multi level marketing

561
00:30:13,800 --> 00:30:15,640
Speaker 1: things like, she could have had a really great scam

562
00:30:15,680 --> 00:30:18,880
Speaker 1: here going, I'm starting my own church and you know great.

563
00:30:19,160 --> 00:30:20,440
Speaker 1: Is that why you're asking me to help you with

564
00:30:20,440 --> 00:30:23,160
Speaker 1: that tax paperwork? Yeah? Yeah, yeah absolutely, Church of me,

565
00:30:23,760 --> 00:30:25,280
Speaker 1: church of you. You know what I mean. It's all

566
00:30:25,280 --> 00:30:27,800
Speaker 1: about worshiping your inner self. Like anyway, I'll get into

567
00:30:27,800 --> 00:30:31,520
Speaker 1: it in my book. But how much is that? So

568
00:30:31,680 --> 00:30:36,000
Speaker 1: it's a pa per chapter right yeah? Yeah? Yeah? So

569
00:30:36,040 --> 00:30:40,720
Speaker 1: you say, like scientology or scientology, they don't have the

570
00:30:40,760 --> 00:30:42,960
Speaker 1: T on their building right now, Scientology building the T

571
00:30:43,160 --> 00:30:45,960
Speaker 1: fell off. Damn, I'm surprisedly haven't gotten that face. They're

572
00:30:46,000 --> 00:30:51,120
Speaker 1: just going British science but also like, this could have

573
00:30:51,120 --> 00:30:52,920
Speaker 1: been a real good scheme. I'm sure you could have.

574
00:30:53,600 --> 00:30:55,200
Speaker 1: This is why I brought it up because I know

575
00:30:55,320 --> 00:30:58,440
Speaker 1: your commentary would be that she fucked the scam. She

576
00:30:58,480 --> 00:31:01,200
Speaker 1: did right she saw it was like, where where are

577
00:31:01,200 --> 00:31:03,520
Speaker 1: we headed as a culture? Yours is? The scam could

578
00:31:03,520 --> 00:31:05,720
Speaker 1: have been more? Oh, it could have been so fruitful.

579
00:31:05,880 --> 00:31:08,240
Speaker 1: When everyone wants to pop on, I g like, sir,

580
00:31:08,320 --> 00:31:11,360
Speaker 1: how everybody gets high these days? People buy Instagram followers

581
00:31:11,440 --> 00:31:14,000
Speaker 1: that should don't work. So it's like, you can teach

582
00:31:14,000 --> 00:31:16,680
Speaker 1: people how to make an Instagram that's full of ship

583
00:31:16,720 --> 00:31:20,120
Speaker 1: that people will enjoy. If you don't have a private jet,

584
00:31:20,200 --> 00:31:22,440
Speaker 1: star small, go to l a X and pay two

585
00:31:22,520 --> 00:31:24,920
Speaker 1: hundred dollars to take photos on a private jet, bring

586
00:31:24,960 --> 00:31:27,680
Speaker 1: a few outfits. Is two an hour, guys, write this down.

587
00:31:27,680 --> 00:31:30,960
Speaker 1: That's free, you know what I mean? Like you can?

588
00:31:31,080 --> 00:31:35,680
Speaker 1: You can you actually telling me about that? Real you

589
00:31:35,720 --> 00:31:40,360
Speaker 1: can go talking about about that. So I'm like, these

590
00:31:40,360 --> 00:31:42,680
Speaker 1: are these are real tips because she could be giving

591
00:31:42,680 --> 00:31:44,920
Speaker 1: these people. That's awesome. Well, first you have to create

592
00:31:44,960 --> 00:31:46,920
Speaker 1: the illusion and then people buy into that, and then

593
00:31:46,960 --> 00:31:49,960
Speaker 1: that's where you get your power. Exactly. You could be

594
00:31:49,960 --> 00:31:52,600
Speaker 1: broke as hell. Doing this. But anyway, she's lazy. Obviously

595
00:31:52,640 --> 00:31:54,960
Speaker 1: she's living good. She probably got a man. That's what happened.

596
00:31:55,000 --> 00:31:56,560
Speaker 1: Like she was out here really trying to make her

597
00:31:56,600 --> 00:31:58,480
Speaker 1: own empire, and then she met somebody who start paying

598
00:31:58,480 --> 00:32:00,160
Speaker 1: all those bills. Next thing, you know, she high, you

599
00:32:00,240 --> 00:32:02,720
Speaker 1: know high, and she didn't have time to send high

600
00:32:02,880 --> 00:32:05,560
Speaker 1: that influencer money, right or whatever they get Now, I

601
00:32:05,560 --> 00:32:10,120
Speaker 1: know the influencer market is dying. Yeah. Yeah, they're going

602
00:32:10,160 --> 00:32:14,440
Speaker 1: after micro influences now, like people with like thirty below

603
00:32:15,040 --> 00:32:17,480
Speaker 1: because like those fans are more engaged, like they see

604
00:32:17,520 --> 00:32:19,400
Speaker 1: that people will buy more from someone who has a

605
00:32:19,440 --> 00:32:22,760
Speaker 1: smaller fan base, and like a three million follower account,

606
00:32:23,160 --> 00:32:25,840
Speaker 1: we get like twenty people or something, right, because they've

607
00:32:25,840 --> 00:32:28,440
Speaker 1: already been ruined by they've already been ruined and they've

608
00:32:28,520 --> 00:32:32,160
Speaker 1: you know, they paid for the courses. Alright, let's check

609
00:32:32,200 --> 00:32:37,160
Speaker 1: in real briefly with the trumpets fear Rudy Giuliani responded

610
00:32:37,280 --> 00:32:42,640
Speaker 1: to the details of Michael Cohen sentencing and just everything

611
00:32:43,120 --> 00:32:47,840
Speaker 1: by saying, quote, nobody got killed, nobody got robbed. This

612
00:32:47,920 --> 00:32:52,640
Speaker 1: was not a big crime, a felony campaign finance. M

613
00:32:53,800 --> 00:32:55,720
Speaker 1: that's what he's saying. That's where they're at. Now, that's

614
00:32:55,760 --> 00:32:58,080
Speaker 1: the level of defense coming out of this lawyer is

615
00:32:58,600 --> 00:33:02,200
Speaker 1: nobody got killed. Got I would actually argue that people

616
00:33:02,200 --> 00:33:06,880
Speaker 1: did get robbed, American people straight hood winked. But then

617
00:33:06,880 --> 00:33:08,680
Speaker 1: he followed it up. He then had to tweet, I

618
00:33:08,760 --> 00:33:11,800
Speaker 1: goes correction, Okay, I didn't say payments were not a

619
00:33:11,840 --> 00:33:15,360
Speaker 1: big crime. I've said consistently that the Daniels and McDougall

620
00:33:15,400 --> 00:33:18,720
Speaker 1: payments are not crimes, and tweeted a great article yesterday

621
00:33:18,760 --> 00:33:21,120
Speaker 1: making that point. If it isn't a witch hunt, why

622
00:33:21,120 --> 00:33:25,120
Speaker 1: are they pursuing a non crime. So it's a non

623
00:33:25,200 --> 00:33:27,320
Speaker 1: crime that Michael Cohen is still having to do with

624
00:33:27,400 --> 00:33:33,400
Speaker 1: three years for after cooperating, Yes, like after the sentence

625
00:33:33,400 --> 00:33:37,080
Speaker 1: coming down. That sounds like a real non crime, real noncrime.

626
00:33:37,280 --> 00:33:40,720
Speaker 1: But apparently I heard rumblings about the prison facility he's

627
00:33:40,720 --> 00:33:44,440
Speaker 1: going to is like it's club fed. Yeah, I mean,

628
00:33:44,480 --> 00:33:46,640
Speaker 1: come on, people, fucking lesson man put him in gen

629
00:33:46,720 --> 00:33:52,120
Speaker 1: pop fucking rikers or some shi it. Can you imagine?

630
00:33:52,520 --> 00:33:54,040
Speaker 1: I mean what but I'm saying, like, you know what

631
00:33:54,120 --> 00:33:55,880
Speaker 1: I mean, that's that's like the other weird shitty thing

632
00:33:55,920 --> 00:33:58,240
Speaker 1: about the criminal justice system is like, okay, and then

633
00:33:58,280 --> 00:34:00,360
Speaker 1: if you do white collar crime, we don't to quit

634
00:34:00,400 --> 00:34:04,680
Speaker 1: you with the violent criminals because yeah, because we're putting

635
00:34:04,720 --> 00:34:10,120
Speaker 1: on white time out while people are sucking dying in

636
00:34:10,160 --> 00:34:12,279
Speaker 1: solitary at these other prisons. And they're like yeah, and

637
00:34:12,320 --> 00:34:14,640
Speaker 1: they're like, is it was the BOC court? Was the

638
00:34:14,680 --> 00:34:17,080
Speaker 1: grass cut low enough? You guys? Do you want to

639
00:34:17,080 --> 00:34:20,879
Speaker 1: play a game of patonk later? Right? Yeah? Anyway, So yeah,

640
00:34:20,960 --> 00:34:23,799
Speaker 1: that's I think it's just very telling of how you

641
00:34:23,840 --> 00:34:26,000
Speaker 1: know where we're at in terms of the panic levels

642
00:34:26,480 --> 00:34:29,560
Speaker 1: within the administration that we're actually at the part where

643
00:34:29,680 --> 00:34:32,920
Speaker 1: because remember what truth isn't truth was the last hot

644
00:34:33,120 --> 00:34:37,200
Speaker 1: fucking single from mc giuliani, And now it's, uh, hey

645
00:34:37,320 --> 00:34:44,640
Speaker 1: nobody got killed, nobody got robbed, nobody nobody got robbed.

646
00:34:44,960 --> 00:34:48,480
Speaker 1: You know, so we'll see what happens there. But it doesn't.

647
00:34:48,480 --> 00:34:50,600
Speaker 1: I think they know that it's getting worse and worse.

648
00:34:50,960 --> 00:34:52,600
Speaker 1: And then again, this could be us if living in

649
00:34:52,640 --> 00:34:54,719
Speaker 1: our fantasy world where we're hoping that's the case, but

650
00:34:55,239 --> 00:34:59,120
Speaker 1: objectively it looks like more dominoes are falling down. Yeah,

651
00:34:59,600 --> 00:35:03,480
Speaker 1: no movie and onto a super upsetting story, but one

652
00:35:03,520 --> 00:35:05,919
Speaker 1: that we feel like we have to cover. Uh, seven

653
00:35:06,000 --> 00:35:10,560
Speaker 1: year old girl died of dehydration while an ice custody

654
00:35:10,880 --> 00:35:14,120
Speaker 1: while she was attempting to cross the border. Fox's take

655
00:35:14,160 --> 00:35:17,080
Speaker 1: on this is, you know, yeah, well we told we

656
00:35:17,160 --> 00:35:20,839
Speaker 1: told people it was dangerous. Uh yeah, well, yeah, she

657
00:35:20,920 --> 00:35:23,759
Speaker 1: was crossing with her father, or they were taken into

658
00:35:23,800 --> 00:35:27,960
Speaker 1: custody in New Mexico and like a larger group, and

659
00:35:28,440 --> 00:35:31,400
Speaker 1: eight hours after going into custody, she started having seizures

660
00:35:31,960 --> 00:35:35,120
Speaker 1: and then first responders came or she had a fever

661
00:35:35,160 --> 00:35:37,600
Speaker 1: of like a hundred five, and then they took her

662
00:35:37,640 --> 00:35:40,000
Speaker 1: to a hospital. They said she had an eaten or

663
00:35:40,040 --> 00:35:42,399
Speaker 1: had water in several days. And then once she got

664
00:35:42,400 --> 00:35:45,040
Speaker 1: to she was airlifted to a hospital passo, she went

665
00:35:45,120 --> 00:35:49,319
Speaker 1: into cardiac arrest, was revived, and then eventually passed away.

666
00:35:49,480 --> 00:35:55,040
Speaker 1: And yeah, this is uh a fucking awful situation. And

667
00:35:55,440 --> 00:35:58,240
Speaker 1: you would think that the head of the Homeland Security,

668
00:35:58,320 --> 00:36:01,960
Speaker 1: Kirsten Nielsen, would have a more compassionate take when asked

669
00:36:02,000 --> 00:36:05,840
Speaker 1: about why white child died in their custody. This was

670
00:36:05,880 --> 00:36:09,399
Speaker 1: her comment on Fox when she was asked about this tragedy. Uh,

671
00:36:09,400 --> 00:36:11,799
Speaker 1: you know, this is just a very sad example of

672
00:36:11,840 --> 00:36:15,400
Speaker 1: the dangers of this journey. This family chose to cross illegally.

673
00:36:16,200 --> 00:36:19,600
Speaker 1: What happened here was they were ninety miles away from

674
00:36:19,640 --> 00:36:22,160
Speaker 1: where we could process them. Uh, they came in such

675
00:36:22,200 --> 00:36:24,840
Speaker 1: a large crowd that it took our border patrol folks

676
00:36:25,160 --> 00:36:29,120
Speaker 1: a couple times to get them all. We gave immediate care.

677
00:36:29,160 --> 00:36:31,879
Speaker 1: Will continue to look into the situation. But again, I

678
00:36:31,920 --> 00:36:35,799
Speaker 1: cannot stress how dangerous this journey is when migrants choose

679
00:36:35,880 --> 00:36:38,640
Speaker 1: to come here illegally. Yeah, they're not people. To her,

680
00:36:38,680 --> 00:36:42,080
Speaker 1: they're not people. Shame on the father, the parents, Why

681
00:36:42,120 --> 00:36:44,280
Speaker 1: are you trying to take your child out of a

682
00:36:44,320 --> 00:36:47,600
Speaker 1: situation in the country you're coming from that is untenable

683
00:36:47,719 --> 00:36:50,240
Speaker 1: right now? When she said it took our border agents

684
00:36:50,239 --> 00:36:52,960
Speaker 1: a couple of times like that, that is a very

685
00:36:53,000 --> 00:36:56,080
Speaker 1: important like phrasing there, because it's like, what do you

686
00:36:56,120 --> 00:36:58,280
Speaker 1: mean by that? So they were there were so many

687
00:36:58,320 --> 00:37:02,440
Speaker 1: carloads of migrants they had to go back. So, because

688
00:37:02,440 --> 00:37:04,640
Speaker 1: this is going to be something that needs to be

689
00:37:04,640 --> 00:37:07,160
Speaker 1: looked into and investigated, is like how long was she

690
00:37:07,280 --> 00:37:10,920
Speaker 1: in custody, how how many which trip was she on? Exactly?

691
00:37:10,920 --> 00:37:13,880
Speaker 1: While people were getting actual attention, why were they not

692
00:37:13,960 --> 00:37:16,600
Speaker 1: paying attention to the condition of these people that they

693
00:37:16,640 --> 00:37:20,320
Speaker 1: were taking into custody? You know, they're currently twelve thousand,

694
00:37:20,440 --> 00:37:23,680
Speaker 1: eight hundred children in custody of Health and Human Services,

695
00:37:23,760 --> 00:37:26,520
Speaker 1: Like why are they just like, yeah, just another one,

696
00:37:26,560 --> 00:37:29,880
Speaker 1: throw it on the pile, and the kid is fucking

697
00:37:29,960 --> 00:37:34,279
Speaker 1: dying in your custody. And it's just worth noting that

698
00:37:34,400 --> 00:37:37,439
Speaker 1: as she is coming to this very crucial wording of

699
00:37:37,480 --> 00:37:41,600
Speaker 1: like times she laughed, Yeah, what the she's like Clowes,

700
00:37:41,800 --> 00:37:46,319
Speaker 1: it was like a who's a whole mess of Yeah,

701
00:37:46,400 --> 00:37:49,759
Speaker 1: I'm sure, but you know, Bush, I also think she's

702
00:37:49,800 --> 00:37:53,480
Speaker 1: also fucking there is something missing in you when you

703
00:37:53,520 --> 00:37:55,400
Speaker 1: can go up there and that's your comment and you

704
00:37:55,440 --> 00:37:57,960
Speaker 1: go and you can't even for a second have some

705
00:37:58,080 --> 00:38:01,080
Speaker 1: kind of a shred of humanity about to and you're like,

706
00:38:01,480 --> 00:38:04,360
Speaker 1: I mean, this is an example of like, hey, we

707
00:38:04,480 --> 00:38:06,719
Speaker 1: told you don't come here, and if you do, come

708
00:38:06,760 --> 00:38:09,520
Speaker 1: in the right way, come in legally, but but not

709
00:38:09,640 --> 00:38:13,000
Speaker 1: mention the fact that you've made it almost seemingly impossible

710
00:38:13,040 --> 00:38:15,640
Speaker 1: for people to actually present themselves at points of entry

711
00:38:15,760 --> 00:38:18,680
Speaker 1: to seek asylum and they have to hang around these

712
00:38:18,680 --> 00:38:21,640
Speaker 1: border towns with no infrastructure in place for their health

713
00:38:21,840 --> 00:38:27,200
Speaker 1: or their safety. And again, her outlook is completely indicative

714
00:38:27,239 --> 00:38:30,320
Speaker 1: of their view of these people, which is they're not human. Meanwhile,

715
00:38:30,360 --> 00:38:34,919
Speaker 1: this country we're doing diet genocide at the border, and

716
00:38:35,000 --> 00:38:37,719
Speaker 1: we're just like, yeah, let's you know, yeah, what are

717
00:38:37,719 --> 00:38:41,040
Speaker 1: we gonna do. We were talking with Sophia Alexander last

718
00:38:41,040 --> 00:38:43,640
Speaker 1: week about how we can get desensitized, like in things

719
00:38:43,680 --> 00:38:45,880
Speaker 1: like Yemen, in places like that where there might not

720
00:38:45,920 --> 00:38:47,840
Speaker 1: be a lot of coverage. And granted, there were a

721
00:38:47,840 --> 00:38:49,600
Speaker 1: lot of stories that came up that we didn't talk

722
00:38:49,640 --> 00:38:54,479
Speaker 1: about about abuse of detainees by border patrol and ice

723
00:38:55,000 --> 00:38:57,400
Speaker 1: because to a certain extent, it was killing me to

724
00:38:57,480 --> 00:38:59,480
Speaker 1: fucking think about that this thing is going on. But

725
00:38:59,840 --> 00:39:02,239
Speaker 1: I think I'm partially a fault for not wanting to

726
00:39:02,280 --> 00:39:05,080
Speaker 1: talk about it, for to maintain my own sanity. But

727
00:39:05,400 --> 00:39:07,799
Speaker 1: my god, I mean, I don't know what the funk

728
00:39:07,920 --> 00:39:10,520
Speaker 1: we're gonna do. I hope this new Congress can do

729
00:39:10,600 --> 00:39:14,400
Speaker 1: something about it. Will link to the Southern Border Communities

730
00:39:14,440 --> 00:39:17,239
Speaker 1: Coalition in our footnotes, so you can look at other

731
00:39:17,280 --> 00:39:20,520
Speaker 1: ways that you can help contribute or get involved if

732
00:39:20,560 --> 00:39:22,480
Speaker 1: you happen to live in, stay in nearby, or you

733
00:39:22,520 --> 00:39:26,719
Speaker 1: just want to help support from Afar. But yeah, man,

734
00:39:26,840 --> 00:39:30,320
Speaker 1: what the fuck? I don't know. Yeah, I mean, super

735
00:39:30,320 --> 00:39:33,319
Speaker 1: producer Nick Stump before we record it was pointing out

736
00:39:33,360 --> 00:39:36,440
Speaker 1: that the thing that's so infuriating about this argument is

737
00:39:36,440 --> 00:39:39,120
Speaker 1: just how patronizing it is, as if the people who

738
00:39:39,120 --> 00:39:42,760
Speaker 1: are bringing their children, who like are the most important

739
00:39:42,800 --> 00:39:46,240
Speaker 1: things in their world, on a one thousand mile journey

740
00:39:46,360 --> 00:39:49,799
Speaker 1: by foot, that they don't know that's dangerous, right, No,

741
00:39:50,080 --> 00:39:52,960
Speaker 1: of course they know it's dangerous. It's just what they're

742
00:39:53,000 --> 00:39:56,360
Speaker 1: trying to get away from with no acknowledgment for what

743
00:39:56,719 --> 00:40:00,320
Speaker 1: might be motivating someone to travel that far on foot

744
00:40:00,440 --> 00:40:03,839
Speaker 1: with an unknown destiny on the other side. But that's

745
00:40:03,880 --> 00:40:07,959
Speaker 1: the point. In order to continue to speak this way

746
00:40:08,000 --> 00:40:10,240
Speaker 1: without people looking at you like you're a horrible monster,

747
00:40:10,320 --> 00:40:12,400
Speaker 1: you have to only present one side of the story.

748
00:40:13,000 --> 00:40:15,600
Speaker 1: So it's easy for a lot of Americans, a lot

749
00:40:15,600 --> 00:40:17,879
Speaker 1: of Americans who just don't have any humanity. I think

750
00:40:17,880 --> 00:40:20,600
Speaker 1: that racism and and and sexism and a lot of

751
00:40:20,640 --> 00:40:23,120
Speaker 1: things that have been like instilled in our country have

752
00:40:23,200 --> 00:40:25,799
Speaker 1: taken the humanity away from people who are on the

753
00:40:25,800 --> 00:40:28,600
Speaker 1: oppressive side of this. You lose two yeah, we lose

754
00:40:28,640 --> 00:40:30,880
Speaker 1: our lives. You also lose your humanity. You're not people

755
00:40:30,920 --> 00:40:32,800
Speaker 1: anymore because this is what you have to do to

756
00:40:33,719 --> 00:40:36,479
Speaker 1: put people in boxes in order not to lose sleep

757
00:40:36,520 --> 00:40:38,799
Speaker 1: at night over the fact that you are, you know,

758
00:40:38,960 --> 00:40:43,160
Speaker 1: complicit in people's genocide and murder. Essentially, it's like to

759
00:40:43,200 --> 00:40:45,040
Speaker 1: be like, oh, yeah, they just took a risky trip

760
00:40:45,040 --> 00:40:47,239
Speaker 1: and you shouldn't come in here illegally, and that's all

761
00:40:47,280 --> 00:40:49,480
Speaker 1: there is to it. But if you were in that position,

762
00:40:49,520 --> 00:40:52,960
Speaker 1: it would be devastating and completely different, and it's just

763
00:40:53,120 --> 00:40:56,600
Speaker 1: luck that you aren't. Yeah, well it's amazing, yeah that.

764
00:40:56,880 --> 00:40:59,040
Speaker 1: And there there can be people who are on the

765
00:40:59,200 --> 00:41:03,400
Speaker 1: right who are arrants themselves and somehow can can't imagine.

766
00:41:04,040 --> 00:41:06,480
Speaker 1: I guess it's too incominable thing like wow, what would

767
00:41:06,480 --> 00:41:09,480
Speaker 1: that be like or something like you couldn't process that.

768
00:41:09,680 --> 00:41:11,239
Speaker 1: But I think you have to because that's the only

769
00:41:11,280 --> 00:41:13,560
Speaker 1: way you have to maintain an attitude where these people

770
00:41:13,600 --> 00:41:16,520
Speaker 1: are not human to be able to rationalize why this

771
00:41:16,560 --> 00:41:19,400
Speaker 1: is occurring. Uh, And you know what, I think it

772
00:41:19,600 --> 00:41:23,680
Speaker 1: behooves people. I mean you, my top would blow off

773
00:41:23,719 --> 00:41:25,640
Speaker 1: if I saw a fox actually do a story. I'm like,

774
00:41:25,719 --> 00:41:28,799
Speaker 1: what are these people running away from? Because they they'll

775
00:41:28,960 --> 00:41:30,960
Speaker 1: never talk about that. They can never talk I mean,

776
00:41:30,960 --> 00:41:33,319
Speaker 1: they don't really do that in mainstream media either. You know,

777
00:41:33,360 --> 00:41:36,719
Speaker 1: like really actually trying to bring the focus to you know,

778
00:41:37,040 --> 00:41:39,600
Speaker 1: do you understand what like years of meddling on the

779
00:41:39,680 --> 00:41:41,560
Speaker 1: US and on the side of the US in a

780
00:41:41,640 --> 00:41:43,960
Speaker 1: lot of these Central American countries has left a legacy

781
00:41:44,000 --> 00:41:47,200
Speaker 1: of violence, corruption, all this other ship that creates the

782
00:41:47,280 --> 00:41:50,080
Speaker 1: forces that would drive people out too. And I think

783
00:41:50,560 --> 00:41:52,880
Speaker 1: it's upsetting, uh, And it's not the kind of thing

784
00:41:52,960 --> 00:41:54,880
Speaker 1: you want to talk about going into holidays, but this

785
00:41:54,920 --> 00:41:56,440
Speaker 1: is the reality. And I think this is something we

786
00:41:56,440 --> 00:41:59,799
Speaker 1: need to be vigilant about when we we talk about

787
00:41:59,800 --> 00:42:02,960
Speaker 1: our immigration policy and that this isn't just some obscure thing,

788
00:42:03,400 --> 00:42:06,279
Speaker 1: you know, So people's lives are on the line. All right,

789
00:42:06,320 --> 00:42:08,319
Speaker 1: we're gonna take another quick break. We'll be right back,

790
00:42:18,440 --> 00:42:21,960
Speaker 1: and we're back and real quick. I just wanted to

791
00:42:22,040 --> 00:42:24,760
Speaker 1: check in with the good people of Johnson and Johnson.

792
00:42:25,640 --> 00:42:30,319
Speaker 1: I've always trusted them with my children's safety. I put

793
00:42:30,440 --> 00:42:35,160
Speaker 1: I used their no tears baby shampoo. And you guys,

794
00:42:35,200 --> 00:42:40,239
Speaker 1: just when you think that this whole unregulated corporatocracy thing

795
00:42:40,880 --> 00:42:44,480
Speaker 1: is gonna work out just fine, a story like this

796
00:42:44,560 --> 00:42:50,160
Speaker 1: comes along. Because Reuter's investigation found that a scientist came

797
00:42:50,239 --> 00:42:55,120
Speaker 1: to Johnson and Johnson with his finding that Johnson Johnson

798
00:42:55,120 --> 00:42:59,640
Speaker 1: baby powder, a product that's everywhere from like the fucking

799
00:42:59,680 --> 00:43:03,640
Speaker 1: score first table and NBA games too, you know, on

800
00:43:04,239 --> 00:43:07,879
Speaker 1: every baby's butt for the past forty years, that that

801
00:43:08,440 --> 00:43:12,719
Speaker 1: product causes cancer. It has asbestos in it because when

802
00:43:12,719 --> 00:43:16,240
Speaker 1: you mind talc, which it's talcum powder, When you mind talc,

803
00:43:16,800 --> 00:43:21,920
Speaker 1: it's often found close by asbestos, and so sporadically they

804
00:43:21,920 --> 00:43:24,520
Speaker 1: would just get these big pockets of asbestos that would

805
00:43:24,640 --> 00:43:27,319
Speaker 1: end up in their baby powder. So it's not that

806
00:43:27,360 --> 00:43:29,720
Speaker 1: they're adding it that in the process of mining talc,

807
00:43:30,040 --> 00:43:33,160
Speaker 1: you'll encounter you'll encounter asbestos that then just gets in

808
00:43:33,160 --> 00:43:37,080
Speaker 1: the mix, that gets in the mix. And instead of

809
00:43:38,400 --> 00:43:44,000
Speaker 1: right and instead of heating this scientists warning, they put

810
00:43:44,120 --> 00:43:48,640
Speaker 1: him on an internal list of hostile persons and you know,

811
00:43:48,719 --> 00:43:52,920
Speaker 1: banned him. And there have since been thousands of cases

812
00:43:52,920 --> 00:43:56,880
Speaker 1: of people who died from mesothelioma, which is a disease

813
00:43:57,360 --> 00:44:03,160
Speaker 1: that almost exclusively comes from somehow inhaling asbestos getting asbesto

814
00:44:03,200 --> 00:44:06,400
Speaker 1: singer lungs. So that that's really how this came to

815
00:44:06,520 --> 00:44:10,080
Speaker 1: light is people were like, well, I don't I didn't

816
00:44:10,080 --> 00:44:16,000
Speaker 1: work as right, Yeah, exactly. Uh, they wrote about this

817
00:44:16,040 --> 00:44:19,560
Speaker 1: one woman who had two daughters and was a masseus

818
00:44:19,560 --> 00:44:24,280
Speaker 1: and so she just worked with baby powder and yeah,

819
00:44:24,320 --> 00:44:28,200
Speaker 1: that's how she got it. Fuck how I mean, like honestly,

820
00:44:28,280 --> 00:44:31,319
Speaker 1: what you think at some level, right that if you

821
00:44:31,360 --> 00:44:34,560
Speaker 1: know about the process of mining talcum or talc, that

822
00:44:34,680 --> 00:44:37,320
Speaker 1: you know that this is this is something that can happen,

823
00:44:38,160 --> 00:44:40,560
Speaker 1: not even just on the Johnson and Johnson side, like

824
00:44:40,640 --> 00:44:44,200
Speaker 1: on just like a minerals side, like a scientist level

825
00:44:44,800 --> 00:44:47,920
Speaker 1: that you know. I'm sure there's some crazy backstory of

826
00:44:47,960 --> 00:44:51,359
Speaker 1: how many people it took to suppress this information and

827
00:44:51,400 --> 00:44:55,040
Speaker 1: we're so this just we're finding this out now that

828
00:44:55,120 --> 00:44:58,760
Speaker 1: this happened. Has there been any kind of class action

829
00:44:58,800 --> 00:45:01,359
Speaker 1: lawsuit or something against Johnson and Johnson? Yeah, I think

830
00:45:01,360 --> 00:45:04,920
Speaker 1: there's been thousands of lawsuits, oh right, and now but

831
00:45:05,000 --> 00:45:07,200
Speaker 1: now they have like a smoking gun where they're saying, like, hey,

832
00:45:08,280 --> 00:45:12,000
Speaker 1: seventies uncovered a bunch of documents where they found out

833
00:45:12,040 --> 00:45:16,640
Speaker 1: in the seventies that this was happening. And the seventies

834
00:45:16,680 --> 00:45:18,120
Speaker 1: were a wild time man. And that's the thing about

835
00:45:18,160 --> 00:45:21,320
Speaker 1: lawsuits is like you can sue a corporation and pharmacy

836
00:45:21,480 --> 00:45:23,320
Speaker 1: or pharmaceutical companies that are like famous for this, Like

837
00:45:23,360 --> 00:45:25,320
Speaker 1: they'll get sued by you know, wrongful death suits and

838
00:45:25,320 --> 00:45:28,000
Speaker 1: stuff like that, and even after paying all of these suits,

839
00:45:28,400 --> 00:45:31,399
Speaker 1: they've still made way more money. Um, So it's not

840
00:45:31,640 --> 00:45:34,319
Speaker 1: it's kind of just something they factor in r like, yeah,

841
00:45:34,320 --> 00:45:35,799
Speaker 1: we'll pay these people off because they died, but then

842
00:45:35,840 --> 00:45:39,600
Speaker 1: we'll keep selling this to everyone else. But I thought

843
00:45:39,600 --> 00:45:42,160
Speaker 1: the talk was like I thought we all were kind

844
00:45:42,160 --> 00:45:45,520
Speaker 1: of weary of talk um in recent years. I don't know,

845
00:45:45,600 --> 00:45:48,640
Speaker 1: I just I mean I put it on my because

846
00:45:48,640 --> 00:45:53,839
Speaker 1: they were already like spray between my thoughts when I'm walking. Yeah,

847
00:45:53,920 --> 00:45:56,000
Speaker 1: but there have been other studies that have come out

848
00:45:56,040 --> 00:45:59,279
Speaker 1: about talcol and how it leads to cancer. So it's

849
00:45:59,640 --> 00:46:02,400
Speaker 1: interest saying that baby powder wasn't under siege when all

850
00:46:02,440 --> 00:46:04,239
Speaker 1: of that was happening. I think you might have just

851
00:46:04,280 --> 00:46:08,000
Speaker 1: like good pr though. There they're like keeping stories. That's

852
00:46:08,040 --> 00:46:11,640
Speaker 1: the problem with corporatocracies is these people who have all

853
00:46:11,680 --> 00:46:14,640
Speaker 1: the money, these Jaran corporations have all the money to

854
00:46:14,880 --> 00:46:18,520
Speaker 1: keep stories under wraps and keep people's keep the ship

855
00:46:18,600 --> 00:46:20,799
Speaker 1: they don't want it. You know. It's funny. As a kid,

856
00:46:20,880 --> 00:46:24,200
Speaker 1: I hated the smell of baby powder like I hated it.

857
00:46:24,280 --> 00:46:26,879
Speaker 1: My mom was like, you just hated that ship and

858
00:46:26,920 --> 00:46:28,919
Speaker 1: as like, and I would get near and I'm like, oh,

859
00:46:29,480 --> 00:46:31,560
Speaker 1: you can smell as best. I don't know what it was.

860
00:46:31,600 --> 00:46:34,279
Speaker 1: I just didn't like it. And maybe what I'm saying is,

861
00:46:34,480 --> 00:46:37,919
Speaker 1: you know, my old factory senses were just so off

862
00:46:37,960 --> 00:46:40,520
Speaker 1: the charts that I was able to sense his bestes.

863
00:46:40,560 --> 00:46:43,120
Speaker 1: But bloodhounds, no, but I mean one of those dogs

864
00:46:43,120 --> 00:46:47,480
Speaker 1: that can smell. Yeah, that's those Shout out to Jacoby

865
00:46:47,480 --> 00:46:49,560
Speaker 1: and Myers though, and everybody else was about to start

866
00:46:49,600 --> 00:46:53,200
Speaker 1: running those miss Leoma commercials again because yeah, it's lit.

867
00:46:53,320 --> 00:46:56,320
Speaker 1: I mean, yeah, you think front row at a Lebron

868
00:46:56,440 --> 00:47:01,879
Speaker 1: James gas because yeah, go to witness the goat, right,

869
00:47:02,080 --> 00:47:09,160
Speaker 1: were you a witness, you might be entitled to settlements, right,

870
00:47:09,440 --> 00:47:12,200
Speaker 1: So what's the Is there an alternative product for parents

871
00:47:12,280 --> 00:47:15,759
Speaker 1: to other than I'm sure there is. Do you use kids?

872
00:47:15,840 --> 00:47:21,360
Speaker 1: I haven't know, So what is it for just to really? Yeah, yeah,

873
00:47:22,120 --> 00:47:27,080
Speaker 1: what's it really? Because from the friction of the diaper, no,

874
00:47:27,239 --> 00:47:32,800
Speaker 1: from like the yeah, so you're changing the baby frequently helps,

875
00:47:32,880 --> 00:47:35,600
Speaker 1: but also like having some kind of barriers and people

876
00:47:35,600 --> 00:47:37,719
Speaker 1: who use diaper, but that's usually after the fact that

877
00:47:37,760 --> 00:47:40,319
Speaker 1: they already have the rash, but like powders can keep

878
00:47:40,320 --> 00:47:46,080
Speaker 1: the area so the kids don't. Their skin isn't wrap

879
00:47:46,280 --> 00:47:49,160
Speaker 1: up a brick. Okay, yeah, yeah, trapping up a brick.

880
00:47:49,239 --> 00:47:53,640
Speaker 1: But it's your baby, right, I've only handled the only

881
00:47:53,880 --> 00:47:58,280
Speaker 1: other precious thing I've ever heard. Bricks of cocaine. Ships

882
00:47:58,320 --> 00:48:02,160
Speaker 1: are worth more than a kid. Yeah, I mean to

883
00:48:02,840 --> 00:48:11,239
Speaker 1: get for a two year old on the market blue Eyes.

884
00:48:12,640 --> 00:48:18,319
Speaker 1: It's like Yeasis anyway. So Postmates, huh yeah, Postmates using

885
00:48:18,680 --> 00:48:22,840
Speaker 1: are starting to use robots. The future is here because

886
00:48:22,840 --> 00:48:26,600
Speaker 1: they are starting to use little delivery robots where they're

887
00:48:26,600 --> 00:48:31,400
Speaker 1: planning on using delivery robots that they have somehow decided

888
00:48:31,440 --> 00:48:34,319
Speaker 1: will not get kicked over immediately. I mean when you

889
00:48:34,360 --> 00:48:37,160
Speaker 1: look at this thing, I mean, I'm thirty four and

890
00:48:37,239 --> 00:48:39,279
Speaker 1: I still want to just kick the ship out of it,

891
00:48:39,320 --> 00:48:42,479
Speaker 1: like I'm twelve years old. And not because I don't

892
00:48:42,600 --> 00:48:45,239
Speaker 1: like the things because I'm a luddite, I don't like technology,

893
00:48:45,360 --> 00:48:47,400
Speaker 1: but yeah, there's something about it that I just feel like,

894
00:48:47,760 --> 00:48:50,560
Speaker 1: you know, we're not quite used to robots yet, Like

895
00:48:50,680 --> 00:48:53,080
Speaker 1: we're already throwing bird scooters in the l A river

896
00:48:53,239 --> 00:48:56,600
Speaker 1: because what is this thing? Yeah, and some people use them,

897
00:48:56,680 --> 00:48:59,359
Speaker 1: but I can't imagine you see this little basically like

898
00:48:59,640 --> 00:49:03,120
Speaker 1: cool were on wheels with yeah, like rolling down the

899
00:49:03,120 --> 00:49:06,560
Speaker 1: street and someone's not gonna sunk with it, or you know,

900
00:49:06,840 --> 00:49:09,080
Speaker 1: you might try and open it yourself and get the

901
00:49:09,120 --> 00:49:11,680
Speaker 1: food out of it, like where you're going a little postmate,

902
00:49:11,960 --> 00:49:16,920
Speaker 1: right or something? What does happen? So this thing is

903
00:49:17,200 --> 00:49:20,359
Speaker 1: capable of caring like I think fifty pounds and can

904
00:49:20,440 --> 00:49:22,080
Speaker 1: run on a battery that will give it a range

905
00:49:22,080 --> 00:49:24,520
Speaker 1: of thirty miles. So they say twelve delivers a day.

906
00:49:24,600 --> 00:49:27,200
Speaker 1: But Postman is like, worry not. We're not trying to

907
00:49:27,200 --> 00:49:31,280
Speaker 1: took her jobs. We're trying to help our human postmates

908
00:49:31,320 --> 00:49:34,719
Speaker 1: work smarter. So they're saying, like in places like where

909
00:49:34,920 --> 00:49:37,239
Speaker 1: parking is a mess, you can just you can send

910
00:49:37,239 --> 00:49:39,319
Speaker 1: the robot. Yeah, you can just send the robot out

911
00:49:39,360 --> 00:49:41,560
Speaker 1: real quick to even bring the food from the restaurant

912
00:49:41,560 --> 00:49:43,280
Speaker 1: to the driver, so the driver doesn't have to circle

913
00:49:43,280 --> 00:49:45,080
Speaker 1: the block to find a park. This is more for

914
00:49:45,160 --> 00:49:47,799
Speaker 1: like them internally. It's not like I could send this

915
00:49:47,800 --> 00:49:50,239
Speaker 1: postmade robot to my man's house to see what's what

916
00:49:50,280 --> 00:49:53,359
Speaker 1: are you doing? I mean, I'm sure if you confiscated

917
00:49:53,360 --> 00:49:55,200
Speaker 1: one and you had a programmer who is savy enough,

918
00:49:55,200 --> 00:49:58,919
Speaker 1: you could maybe rework its programming. Go inside his house.

919
00:49:59,120 --> 00:50:06,800
Speaker 1: What are you doing the inside you're hiding You're like, surprise, motherfucker.

920
00:50:07,600 --> 00:50:09,160
Speaker 1: This would make a lot more sense if it was

921
00:50:09,200 --> 00:50:12,640
Speaker 1: a drone, because you can't kick drones over they're through

922
00:50:12,680 --> 00:50:14,960
Speaker 1: the air. But how much can you carry on a

923
00:50:15,040 --> 00:50:18,840
Speaker 1: draw exact apparently, but I guess yeah. I think the

924
00:50:18,840 --> 00:50:20,600
Speaker 1: other thing too, is though if you live close enough,

925
00:50:20,640 --> 00:50:23,200
Speaker 1: they are experimenting with it, just taking it straight to

926
00:50:23,239 --> 00:50:26,360
Speaker 1: your house too. But l A, we're gonna will be

927
00:50:26,360 --> 00:50:28,839
Speaker 1: the first city to see it in use next year

928
00:50:28,920 --> 00:50:30,600
Speaker 1: or so. There's so many people out on the street

929
00:50:30,640 --> 00:50:33,439
Speaker 1: with nothing to do. Yeah, well luckily, Like this isn't

930
00:50:33,480 --> 00:50:36,399
Speaker 1: a real pedestrian friendly like no one no one's really

931
00:50:36,440 --> 00:50:39,239
Speaker 1: walking anyway, So but they're kicking it, like we're talking

932
00:50:39,239 --> 00:50:41,719
Speaker 1: about like central l A. Oh Yeah for sure. I mean,

933
00:50:41,760 --> 00:50:44,400
Speaker 1: like other there are definitely places where there's good pedestrian traffic.

934
00:50:44,400 --> 00:50:46,239
Speaker 1: But I feel like, like you know, where I live

935
00:50:46,280 --> 00:50:48,680
Speaker 1: in the valley, like it will just be like rolling

936
00:50:48,719 --> 00:50:54,120
Speaker 1: down the lonely street. Yeah. I wonder like how this

937
00:50:54,200 --> 00:50:56,360
Speaker 1: is going to change just the feel of the city

938
00:50:56,440 --> 00:50:59,440
Speaker 1: to have little like druids rolling around around your knees.

939
00:50:59,600 --> 00:51:03,040
Speaker 1: Like that's the sensation. I feel like I'm gonna will

940
00:51:03,080 --> 00:51:06,040
Speaker 1: be weird. We're like, oh, we're there. I know, but

941
00:51:06,680 --> 00:51:08,880
Speaker 1: I know I was as a child is excited about it.

942
00:51:08,920 --> 00:51:10,640
Speaker 1: But now when I really think about it, like if

943
00:51:10,640 --> 00:51:12,439
Speaker 1: I see this thing coming by, like I'm gonna start

944
00:51:12,440 --> 00:51:16,880
Speaker 1: and be like huh huh. Okay, So that's where we're

945
00:51:16,920 --> 00:51:19,680
Speaker 1: here already, like a little robot, little food delivery robots.

946
00:51:20,320 --> 00:51:22,799
Speaker 1: Maybe that's why I like drones. Just keep out right,

947
00:51:23,360 --> 00:51:25,279
Speaker 1: or I don't want the robot come into my house.

948
00:51:25,320 --> 00:51:27,000
Speaker 1: I don't know who else is going to tap into this.

949
00:51:27,120 --> 00:51:29,200
Speaker 1: I mean Apple Pay just started and the scammers are

950
00:51:29,239 --> 00:51:33,600
Speaker 1: already all over that ship. Oh hell yeah, well you know,

951
00:51:33,719 --> 00:51:36,600
Speaker 1: Brooklyn is really the heart and center of all scams.

952
00:51:36,800 --> 00:51:38,920
Speaker 1: Um you know. Yeah, Like everything comes out of New

953
00:51:39,000 --> 00:51:41,239
Speaker 1: York and then it kind of spreads and people learn

954
00:51:41,280 --> 00:51:43,520
Speaker 1: how to do it elsewhere. But right now Apple Pay

955
00:51:43,719 --> 00:51:47,800
Speaker 1: is so lit like people are learning how just like

956
00:51:47,800 --> 00:51:50,400
Speaker 1: like swipe your Yeah, they're learning. Yeah, they're learning how

957
00:51:50,440 --> 00:51:52,880
Speaker 1: to basically hack people's phones or get into their Apple

958
00:51:52,920 --> 00:51:56,239
Speaker 1: pays and then use their card information to like buy

959
00:51:56,280 --> 00:51:58,960
Speaker 1: gift cards at stores and like rack up all this

960
00:51:59,080 --> 00:52:02,480
Speaker 1: money and it's easier than like stealing people's credit card

961
00:52:02,480 --> 00:52:05,520
Speaker 1: information and cloning their cards. So like, I don't need

962
00:52:05,560 --> 00:52:07,520
Speaker 1: a little Postmates pulling up to my house. The next

963
00:52:07,560 --> 00:52:11,040
Speaker 1: thing I know, the scammers have all my dat Like,

964
00:52:11,120 --> 00:52:15,160
Speaker 1: I'll take the regular John Tony then is outside. I'll

965
00:52:15,200 --> 00:52:17,560
Speaker 1: come outside. I come, I come outside. I don't like

966
00:52:17,640 --> 00:52:19,560
Speaker 1: them coming to mind. Oh no, absolutely, I don't need

967
00:52:19,600 --> 00:52:21,840
Speaker 1: because I look like someone catches me off guard for

968
00:52:21,880 --> 00:52:23,560
Speaker 1: a delivery. I just look terrible. I need to like

969
00:52:23,880 --> 00:52:26,160
Speaker 1: look like a guy. You trying to look nice. I

970
00:52:26,200 --> 00:52:27,640
Speaker 1: try to look nice. I try to look like a

971
00:52:27,640 --> 00:52:31,279
Speaker 1: guy who's not eating food for three just for one. Yeah,

972
00:52:31,480 --> 00:52:33,040
Speaker 1: you try to look like you have a family. I'm like, yeah,

973
00:52:33,200 --> 00:52:36,080
Speaker 1: I'll be right out. Yeah, the food's outside. And they're like, yeah,

974
00:52:36,080 --> 00:52:40,839
Speaker 1: you got a party going. I'm like, huh yeah, big

975
00:52:40,840 --> 00:52:46,160
Speaker 1: big party. Big party is very quiet. Yeah yeah, we

976
00:52:46,239 --> 00:52:48,040
Speaker 1: have fuller house on pause. We're going to do a

977
00:52:48,080 --> 00:52:53,120
Speaker 1: marathon all my business. Yeah. Uh so I wanted to

978
00:52:53,160 --> 00:52:56,320
Speaker 1: talk real quick. There's more information coming out about Netflix.

979
00:52:56,360 --> 00:52:59,560
Speaker 1: We talked last week about how secretive Netflix is about

980
00:53:00,080 --> 00:53:03,760
Speaker 1: what they're like, stats are and there's this independent research

981
00:53:03,880 --> 00:53:08,160
Speaker 1: firm that uses like peer to peer file sharing and

982
00:53:08,400 --> 00:53:13,799
Speaker 1: social media and social meds, social meds to estimate how

983
00:53:13,840 --> 00:53:17,880
Speaker 1: many people are like watching and following different shows at

984
00:53:17,880 --> 00:53:22,080
Speaker 1: any given time, and they and we trust their their

985
00:53:22,239 --> 00:53:25,920
Speaker 1: the it seems like methodology. Yeah, it's it's interesting. I

986
00:53:26,000 --> 00:53:29,960
Speaker 1: think some of the things get over inflated by like memeship,

987
00:53:30,200 --> 00:53:34,640
Speaker 1: Like SpongeBob SquarePants is the number one show overall, and

988
00:53:34,680 --> 00:53:37,239
Speaker 1: I think that's probably inflated by memeship. What do you

989
00:53:37,280 --> 00:53:40,640
Speaker 1: mean just from people's like love of the memes. Yeah,

990
00:53:40,680 --> 00:53:43,680
Speaker 1: because they're they're using social media to gauge like mind

991
00:53:43,680 --> 00:53:47,680
Speaker 1: show got you, got you, just because like they'll have right. Okay, Yeah,

992
00:53:47,880 --> 00:53:51,560
Speaker 1: I watched SpongeBob. Still, dude, I do. I think I

993
00:53:51,560 --> 00:53:53,440
Speaker 1: think a lot of I think it's a high culture

994
00:53:53,520 --> 00:53:55,040
Speaker 1: to a lot of people, like smoke Weed like to

995
00:53:55,040 --> 00:53:57,879
Speaker 1: watch SpongeBob. I think SpongeBob might be that lit. Yeah,

996
00:53:57,920 --> 00:54:01,239
Speaker 1: SpongeBob is good. I've show it to my kid and

997
00:54:01,440 --> 00:54:04,439
Speaker 1: I like it way better than him. No, I don't

998
00:54:04,480 --> 00:54:14,839
Speaker 1: like it better than him. Turn it off. Wait, oh man,

999
00:54:15,000 --> 00:54:18,320
Speaker 1: he lives in a pineapple under the season a SpongeBob

1000
00:54:18,360 --> 00:54:22,359
Speaker 1: is hell awoke too, though it's like very like non binary,

1001
00:54:22,400 --> 00:54:26,600
Speaker 1: like very pro get it's pro everything. It's a very

1002
00:54:26,640 --> 00:54:29,120
Speaker 1: woke shop. And I saw someone saying, like one of

1003
00:54:29,120 --> 00:54:31,560
Speaker 1: the characters, like the first mental health advocate who like

1004
00:54:31,640 --> 00:54:34,879
Speaker 1: show people about depression. Yeah, the squid word for sure,

1005
00:54:35,000 --> 00:54:36,879
Speaker 1: squid word or I don't know, I don't watch the show,

1006
00:54:36,960 --> 00:54:39,799
Speaker 1: I just know the memes. W w E. Monday Night

1007
00:54:39,920 --> 00:54:44,719
Speaker 1: Raw is huge in South Park. So those are some

1008
00:54:44,800 --> 00:54:46,719
Speaker 1: cable shows. Like the other ones that are huge are

1009
00:54:46,800 --> 00:54:49,040
Speaker 1: like Walking Dead, Game of Thrones, Riverdale, like all this

1010
00:54:49,040 --> 00:54:51,920
Speaker 1: ship you always hear about. So that's on the cable side,

1011
00:54:52,280 --> 00:54:58,279
Speaker 1: and then on the Netflix side it's Narcos is enormous,

1012
00:54:58,320 --> 00:55:01,520
Speaker 1: thirty six million p bowl who are watching that show,

1013
00:55:01,560 --> 00:55:05,480
Speaker 1: they think, they think Chilling Adventures of Sabrina thirty four million.

1014
00:55:05,920 --> 00:55:09,560
Speaker 1: Stranger Things and this was in October had thirty one

1015
00:55:09,640 --> 00:55:13,280
Speaker 1: point three million people. So that means that like when

1016
00:55:13,560 --> 00:55:16,520
Speaker 1: the series first came out, or when the season two

1017
00:55:16,560 --> 00:55:20,480
Speaker 1: first came out, it must have been fucking crazy huge. Wait,

1018
00:55:20,600 --> 00:55:23,239
Speaker 1: season season three isn't out, yere no, no, no, it's

1019
00:55:23,280 --> 00:55:27,000
Speaker 1: just this is just residual like Stranger Things Pop were

1020
00:55:27,040 --> 00:55:30,480
Speaker 1: just like I'll start watching. Yeah. Um, Like, on the

1021
00:55:30,520 --> 00:55:34,319
Speaker 1: one hand, cable audiences, according to these metrics, are still

1022
00:55:34,440 --> 00:55:38,080
Speaker 1: way bigger than like the Netflix audiences. Like you got

1023
00:55:38,080 --> 00:55:40,840
Speaker 1: South Park at forty million, and then the biggest Netflix

1024
00:55:40,880 --> 00:55:44,400
Speaker 1: show is thirty six million, and SpongeBob's at ninety million.

1025
00:55:44,600 --> 00:55:47,560
Speaker 1: But that's like a show that's in syndication and it's

1026
00:55:47,600 --> 00:55:51,360
Speaker 1: just always on and it's like part of the language

1027
00:55:51,400 --> 00:55:54,520
Speaker 1: of the Internet exactly. But then when you look at

1028
00:55:54,880 --> 00:55:58,000
Speaker 1: like streaming digital shows, I'll just go down the list.

1029
00:55:58,000 --> 00:56:01,320
Speaker 1: So you've got a Narcos, Chilling Adventures of Brina, Stranger Things,

1030
00:56:01,400 --> 00:56:04,480
Speaker 1: Marvel's Daredevil. You go through all those before you get

1031
00:56:04,520 --> 00:56:07,960
Speaker 1: to a non Netflix show Handmaid's Tale, and then the

1032
00:56:08,040 --> 00:56:10,759
Speaker 1: rest are all Netflix shows. It's The Last Kingdom, House

1033
00:56:10,800 --> 00:56:13,560
Speaker 1: of Cards, Oranges, The New Black, Thirteen Reasons Why, and

1034
00:56:13,680 --> 00:56:17,320
Speaker 1: The Haunting. So it's just Netflix is dominating in terms

1035
00:56:17,320 --> 00:56:22,040
Speaker 1: of the top viewership for all streaming platforms. Yeah, so shows.

1036
00:56:22,480 --> 00:56:25,280
Speaker 1: I do love a handmads Tale though. It's good. Yeah,

1037
00:56:25,320 --> 00:56:30,240
Speaker 1: it's white slavery. That's not why I'm watching it, guys.

1038
00:56:30,239 --> 00:56:33,319
Speaker 1: I don't want slavery for anyone. It's just very fascinating.

1039
00:56:34,840 --> 00:56:39,319
Speaker 1: It's interesting to think about. No, no, I would like

1040
00:56:39,440 --> 00:56:43,319
Speaker 1: I didn't say that, guy, No, I know, but it's

1041
00:56:43,400 --> 00:56:49,320
Speaker 1: interesting because like I always thought, hit me under the table,

1042
00:56:52,760 --> 00:56:56,960
Speaker 1: I would be so bad. Well yeah, I mean the

1043
00:56:57,000 --> 00:57:00,239
Speaker 1: other ships, you know, Like I was looking at Big

1044
00:57:00,239 --> 00:57:02,480
Speaker 1: Bang Theory, which is like the thing that I had

1045
00:57:02,480 --> 00:57:06,000
Speaker 1: always associated with having huge ratings. It peaked at like

1046
00:57:06,040 --> 00:57:09,600
Speaker 1: twenty million people in two thousand fifteen, So that's like

1047
00:57:09,640 --> 00:57:12,520
Speaker 1: smaller than most of these shows. Well. Yeah, Narcos does

1048
00:57:12,560 --> 00:57:15,719
Speaker 1: a great thing though, too, is that they can energize

1049
00:57:15,800 --> 00:57:19,160
Speaker 1: many audiences because it's bilingual, right, you know, so I

1050
00:57:19,160 --> 00:57:21,680
Speaker 1: mean that's the thing. And Netflix also released their list

1051
00:57:21,840 --> 00:57:25,160
Speaker 1: of like the most binge shows this year and the

1052
00:57:25,200 --> 00:57:28,680
Speaker 1: biggest like shows that grew in viewership this year, and

1053
00:57:29,120 --> 00:57:31,760
Speaker 1: their number one show is a show on my block

1054
00:57:32,120 --> 00:57:37,160
Speaker 1: which I had not heard of. Yeah, it's The Youth.

1055
00:57:37,480 --> 00:57:40,600
Speaker 1: It's about it's like a coming of age story like

1056
00:57:40,640 --> 00:57:43,960
Speaker 1: that follows high school kids in Los Angeles. But it

1057
00:57:44,000 --> 00:57:45,800
Speaker 1: goes along with something we were saying last week when

1058
00:57:45,840 --> 00:57:49,360
Speaker 1: Sophia was on that, Like Netflix actually has the data

1059
00:57:49,520 --> 00:57:52,960
Speaker 1: and they're like, oh, diversity works, Like he would you

1060
00:57:53,000 --> 00:57:55,919
Speaker 1: look at that have a cast that looks like our

1061
00:57:55,960 --> 00:57:58,960
Speaker 1: audience people like that for some of that one non

1062
00:57:59,040 --> 00:58:02,320
Speaker 1: Latino who plays a you know on my block. Yeah,

1063
00:58:02,960 --> 00:58:05,360
Speaker 1: she's the only one who gets some smoke. But it's

1064
00:58:05,360 --> 00:58:08,200
Speaker 1: all right. Is she doing the Ariana Grande thing? Yeah?

1065
00:58:08,560 --> 00:58:12,720
Speaker 1: Kind but but it is. It is to your point, though, Jack,

1066
00:58:12,800 --> 00:58:14,880
Speaker 1: like they're doing a lot more than network television is

1067
00:58:14,920 --> 00:58:17,640
Speaker 1: doing for as far as diversity goes. But is there

1068
00:58:17,640 --> 00:58:20,840
Speaker 1: anything to the accessibility of these shows, because like, when

1069
00:58:20,840 --> 00:58:22,840
Speaker 1: I watch a network TV show, I can't really like

1070
00:58:22,960 --> 00:58:26,120
Speaker 1: go back and watch episodes of it other than on Hulu,

1071
00:58:26,240 --> 00:58:29,480
Speaker 1: right like, whereas on Netflix, I'm I have access to

1072
00:58:29,560 --> 00:58:32,360
Speaker 1: these shows. I think definitely, you know, yeah, I think

1073
00:58:32,400 --> 00:58:35,360
Speaker 1: people consume them differently for sure. Well that's what the

1074
00:58:35,360 --> 00:58:37,880
Speaker 1: other thing too. Even we were talking about the Christmas Chronicle,

1075
00:58:38,120 --> 00:58:39,960
Speaker 1: They're like, this is the biggest movie right now, or

1076
00:58:40,000 --> 00:58:42,560
Speaker 1: would be if you know, we counted it. There's also

1077
00:58:42,640 --> 00:58:44,600
Speaker 1: that level of like you can be so passive and

1078
00:58:44,640 --> 00:58:48,200
Speaker 1: still consume it, and it requires much less energy to

1079
00:58:48,240 --> 00:58:50,360
Speaker 1: break inertia for you to be like I'm gonna watch

1080
00:58:50,400 --> 00:58:52,560
Speaker 1: this Netflix, think I'm gonna take my ask to the

1081
00:58:52,560 --> 00:58:54,760
Speaker 1: movies and pay for a ticket. But I do think

1082
00:58:54,880 --> 00:58:59,600
Speaker 1: that the reason behind Netflix, Like being better on diversity

1083
00:58:59,640 --> 00:59:04,880
Speaker 1: stuff is not that Netflix is more progressive. It's that

1084
00:59:04,920 --> 00:59:08,880
Speaker 1: they have access to even better information and they're more

1085
00:59:08,960 --> 00:59:12,360
Speaker 1: driven by data and analytics, and they're like, oh, we

1086
00:59:12,480 --> 00:59:16,880
Speaker 1: see a trend in like this particular thing, which is

1087
00:59:16,960 --> 00:59:19,840
Speaker 1: people like like this genre of show right with this

1088
00:59:19,920 --> 00:59:23,760
Speaker 1: kind of cast. Yeah, shouldn't let the fact that a

1089
00:59:23,800 --> 00:59:27,520
Speaker 1: bunch of our executives And it's really simple, guys, just

1090
00:59:27,600 --> 00:59:33,200
Speaker 1: look at population demographics and appeal to those groups and

1091
00:59:33,320 --> 00:59:36,120
Speaker 1: you will have a successful show. I mean, it's also

1092
00:59:36,160 --> 00:59:41,280
Speaker 1: about seeing something new, Like I think that sometimes it's hard. God,

1093
00:59:41,360 --> 00:59:43,680
Speaker 1: I don't even want to say this like this, but

1094
00:59:43,800 --> 00:59:46,720
Speaker 1: I have a lot of artist friends who are straight

1095
00:59:46,760 --> 00:59:49,920
Speaker 1: white men and they feel like now their art is

1096
00:59:49,960 --> 00:59:53,000
Speaker 1: not interesting and they're not interesting as people in the world.

1097
00:59:53,160 --> 00:59:54,919
Speaker 1: Is kind of saying they're not interesting. I'm like, that's

1098
00:59:54,920 --> 00:59:57,560
Speaker 1: not it. It's that you guys just decided to dominate

1099
00:59:57,640 --> 00:59:59,880
Speaker 1: everything so much that it's like, okay, well, once we

1100
01:00:00,120 --> 01:00:03,720
Speaker 1: seen similar things so much, it's like we've seen this

1101
01:00:03,960 --> 01:00:07,000
Speaker 1: so much, Like you have to diversify just because that's

1102
01:00:07,000 --> 01:00:10,040
Speaker 1: what keeps everything interesting. I watched Crazy Rich Asians, and

1103
01:00:10,040 --> 01:00:12,000
Speaker 1: I remember crying because I was like, damn, there was

1104
01:00:12,040 --> 01:00:15,120
Speaker 1: only three white people in this movie, and I remember

1105
01:00:15,120 --> 01:00:17,720
Speaker 1: who they were. To know it made me so I

1106
01:00:17,760 --> 01:00:20,040
Speaker 1: cried tears of joy, like I didn't know anything about

1107
01:00:20,080 --> 01:00:21,840
Speaker 1: my jong, Like I got to learn stuff and it

1108
01:00:21,920 --> 01:00:25,600
Speaker 1: was hell, yeah, that's my new scale. Listen, break them,

1109
01:00:25,640 --> 01:00:29,280
Speaker 1: break them bricks out. Alright, let's go. But like there

1110
01:00:29,280 --> 01:00:31,120
Speaker 1: were two guys in the hotel and then there was

1111
01:00:31,200 --> 01:00:34,880
Speaker 1: one guy in the airport hangar who was mixing drinks.

1112
01:00:35,120 --> 01:00:38,560
Speaker 1: White people in that movie. Well, you know, again it's

1113
01:00:38,600 --> 01:00:42,720
Speaker 1: all about representation, but look what happens and just interesting stories.

1114
01:00:42,720 --> 01:00:46,080
Speaker 1: I just want to see something different. Yeah, no, right,

1115
01:00:46,160 --> 01:00:47,480
Speaker 1: you can only like I think, you can only rinse

1116
01:00:47,560 --> 01:00:50,040
Speaker 1: and repeat the sort of same structures and like, yeah,

1117
01:00:50,200 --> 01:00:52,040
Speaker 1: you know, not everyone lives the same way. But at

1118
01:00:52,040 --> 01:00:54,160
Speaker 1: the same time, like you know, there's certain television shows

1119
01:00:54,160 --> 01:00:56,080
Speaker 1: that have an all white cast, and I'm like, this

1120
01:00:56,160 --> 01:00:58,439
Speaker 1: is how this show should be because this leads people

1121
01:00:58,480 --> 01:01:00,400
Speaker 1: probably wouldn't have a black No, I think I'm still

1122
01:01:00,440 --> 01:01:02,760
Speaker 1: going to watch it. Yeah, like we're gonna watch full

1123
01:01:02,800 --> 01:01:04,720
Speaker 1: of House, you know how to We don't have to

1124
01:01:04,720 --> 01:01:07,840
Speaker 1: tell me it's lit. We're gonna watch Fuller House. I

1125
01:01:07,840 --> 01:01:10,800
Speaker 1: will watch trash Burn and that's what I do when

1126
01:01:10,840 --> 01:01:14,760
Speaker 1: I watch Fuller House and hey, hey, full House is

1127
01:01:14,880 --> 01:01:19,560
Speaker 1: a great show made by great they're great creative minds. Well, Lacey,

1128
01:01:19,640 --> 01:01:23,280
Speaker 1: it's been wonderful having you back. Maybe we'll also have

1129
01:01:23,360 --> 01:01:26,240
Speaker 1: you back for one of our shows for next week

1130
01:01:26,360 --> 01:01:28,760
Speaker 1: during your holiday week. Yeah, if you're not doing anything.

1131
01:01:29,600 --> 01:01:33,040
Speaker 1: But first, where can people find you and follow you?

1132
01:01:33,280 --> 01:01:35,680
Speaker 1: So you guys can find me on the goram and

1133
01:01:35,960 --> 01:01:38,880
Speaker 1: on the Twitter at the same handle, keep it all

1134
01:01:38,960 --> 01:01:42,400
Speaker 1: one brands at DEVA Lacey. That's d I V A

1135
01:01:43,000 --> 01:01:47,520
Speaker 1: l A c. I. Is there a tweet or active

1136
01:01:47,560 --> 01:01:52,000
Speaker 1: social media that you've been enjoying a tweet or this

1137
01:01:52,080 --> 01:02:01,320
Speaker 1: is my own tweet brand down that I'm enjoyed. Nothing matters,

1138
01:02:01,400 --> 01:02:03,640
Speaker 1: So do whatever the funk you want. And by that

1139
01:02:03,720 --> 01:02:06,320
Speaker 1: I mean just like make yourself happy. You know that

1140
01:02:06,400 --> 01:02:12,320
Speaker 1: was your tweet? Nothing matters? Yeah, yeah, great, I love nihilism. Yeah,

1141
01:02:12,360 --> 01:02:15,320
Speaker 1: that's basically what it is. Huh. Also, you can find

1142
01:02:15,320 --> 01:02:17,960
Speaker 1: me soon. Um, there's a television show that I just

1143
01:02:18,000 --> 01:02:19,919
Speaker 1: worked on, um that I can actually now talk about.

1144
01:02:20,080 --> 01:02:23,680
Speaker 1: It's called Florida Girls and it'll be on It's about

1145
01:02:23,680 --> 01:02:26,320
Speaker 1: four Florida women who are very poor and very ratchet,

1146
01:02:26,320 --> 01:02:29,880
Speaker 1: and it's very funny and I think very revolutionary. It's

1147
01:02:30,000 --> 01:02:32,640
Speaker 1: not about men. There's like there's crazy ship that happens.

1148
01:02:32,640 --> 01:02:36,400
Speaker 1: It was gang Bangs. It's it's it's a it's a show, um,

1149
01:02:36,440 --> 01:02:39,200
Speaker 1: and it will be on Pop TV and it'll be

1150
01:02:39,240 --> 01:02:41,240
Speaker 1: streaming and the next time I talk to you, guys,

1151
01:02:41,240 --> 01:02:43,080
Speaker 1: I'll tell you where it'll be streaming. But yeah, the

1152
01:02:43,160 --> 01:02:47,440
Speaker 1: girls nice. So when you're watching, watch Florida exactly and

1153
01:02:47,480 --> 01:02:49,880
Speaker 1: you will look, we're gonna gang will pull up for

1154
01:02:49,920 --> 01:02:53,600
Speaker 1: our all. Um Miles, where can people find you? You You

1155
01:02:53,640 --> 01:02:56,200
Speaker 1: can find me on Twitter and Instagram at Miles of Gray.

1156
01:02:56,480 --> 01:02:58,960
Speaker 1: I like a couple tweets, wouldn't you like that? And

1157
01:02:59,000 --> 01:03:01,280
Speaker 1: they're not all reductress beats. One The first one is

1158
01:03:01,320 --> 01:03:04,400
Speaker 1: from caps Lock Christ all caps. The stweet says, I

1159
01:03:04,440 --> 01:03:06,880
Speaker 1: eat gummy bears two at a time so they don't

1160
01:03:06,920 --> 01:03:11,160
Speaker 1: have to die alone. Another one from Ali Maynard at

1161
01:03:11,240 --> 01:03:15,480
Speaker 1: miss Maine Trump's chief of Staff shortlist, Geraldo Rivera, Brian Kilmeade,

1162
01:03:15,560 --> 01:03:19,040
Speaker 1: a racist meme, New Gingrich boner pills, a pissy mattress,

1163
01:03:19,200 --> 01:03:24,120
Speaker 1: left Shark, Roberty Lee statue, Miss trunch Bull NYC pizza

1164
01:03:24,200 --> 01:03:27,880
Speaker 1: rat or truck nuts and last one is from Blair

1165
01:03:28,080 --> 01:03:31,680
Speaker 1: Saky past guests. He says, I fucking hate paper straws.

1166
01:03:31,720 --> 01:03:33,800
Speaker 1: Can't we get rid of dodge rams instead? I was

1167
01:03:33,840 --> 01:03:41,200
Speaker 1: going to do that one ship twee wow WHOA. Well

1168
01:03:41,240 --> 01:03:43,080
Speaker 1: you can find me on Twitter at Jack underscore o

1169
01:03:43,200 --> 01:03:47,600
Speaker 1: Brian some tweets I liked. Pixelated Boat tweeted. Kanye West,

1170
01:03:47,720 --> 01:03:50,240
Speaker 1: like all great artists, is able to take his pain

1171
01:03:50,280 --> 01:03:57,919
Speaker 1: and insecurity and channel it into being extremely online. He's

1172
01:03:57,960 --> 01:04:01,720
Speaker 1: going through it again. Yeah, what's going on? He was

1173
01:04:01,760 --> 01:04:04,920
Speaker 1: out here saying like Travis Scott and Drake were threatening him. Yeah,

1174
01:04:05,360 --> 01:04:08,320
Speaker 1: I don't know what happened, Like softass threats, Like what

1175
01:04:08,360 --> 01:04:10,880
Speaker 1: are they threatening you with? Like R and B remix,

1176
01:04:11,040 --> 01:04:14,960
Speaker 1: Like like Drake and Travis Scott are not doing violence. Well,

1177
01:04:15,000 --> 01:04:17,240
Speaker 1: if you believe it. There's that rumor that Drake had

1178
01:04:17,240 --> 01:04:23,640
Speaker 1: Triple X Tantason killed. There's another wild conspiracis Drake wishes

1179
01:04:23,720 --> 01:04:26,200
Speaker 1: to have somebody cute. Hey, you never know, I mean,

1180
01:04:26,520 --> 01:04:29,080
Speaker 1: that's not his life. Send you this thread. You know that.

1181
01:04:29,720 --> 01:04:32,040
Speaker 1: That was his Luminatti offering. Listen. As soon as I

1182
01:04:32,120 --> 01:04:36,200
Speaker 1: joined the Illuminati, will hot okay perfect and you'll Scandy

1183
01:04:36,280 --> 01:04:39,760
Speaker 1: Luminati absolutely at sin a Snark tweeted, what even is

1184
01:04:39,800 --> 01:04:43,280
Speaker 1: the point of Jason Momo's bodyguards? And there's a picture

1185
01:04:44,360 --> 01:04:47,160
Speaker 1: him with two bodyguards who are like come up to

1186
01:04:47,360 --> 01:04:51,480
Speaker 1: his shoulder and it's amazing A superproducer around a hone

1187
01:04:51,560 --> 01:04:54,240
Speaker 1: It tweeted is it still keto if I boof a cupcake?

1188
01:04:55,600 --> 01:04:58,480
Speaker 1: Which she's putting all our business out here. She's the

1189
01:04:58,520 --> 01:05:01,360
Speaker 1: best with the butts uf with the boot. That's a

1190
01:05:01,400 --> 01:05:03,640
Speaker 1: weird thing to say. But we asked her what her

1191
01:05:03,680 --> 01:05:05,880
Speaker 1: predictions were for two thousand ninety and she said that

1192
01:05:05,920 --> 01:05:09,200
Speaker 1: she was going to book Cupcake, so uh, cree prediction

1193
01:05:09,600 --> 01:05:13,960
Speaker 1: and blank Patch tweeted, I saw coyote eating McDonald's on

1194
01:05:13,960 --> 01:05:17,200
Speaker 1: the side of moholland his hair was perfect And at

1195
01:05:17,280 --> 01:05:21,480
Speaker 1: cash Bones tweeted Tom Clancy's pro skater too. Uh. You

1196
01:05:21,520 --> 01:05:23,960
Speaker 1: can follow me on Twitter at Jack Underscore o Brian

1197
01:05:24,200 --> 01:05:26,280
Speaker 1: follow us on Twitter at daily z eykeeis for at

1198
01:05:26,280 --> 01:05:29,280
Speaker 1: the Daily Zeycheis on Instagram. We have a Facebook campage

1199
01:05:29,320 --> 01:05:32,720
Speaker 1: and a website, daily's geys dot com. We post our

1200
01:05:32,760 --> 01:05:35,440
Speaker 1: episodes in our foot where we link off to the

1201
01:05:35,440 --> 01:05:38,479
Speaker 1: information that we talked about today's episode, as well as

1202
01:05:38,640 --> 01:05:41,360
Speaker 1: the song we write out on Miles What are we

1203
01:05:41,400 --> 01:05:43,920
Speaker 1: Gonna write out on? This is a track from an

1204
01:05:44,040 --> 01:05:47,280
Speaker 1: artist called jitwom Uh and it's like someone like, I'm

1205
01:05:47,280 --> 01:05:49,480
Speaker 1: gonna low fi rock kind of thing and I'm really

1206
01:05:49,680 --> 01:05:54,440
Speaker 1: vibing off of guys. Uh yeah, and uh. The title

1207
01:05:54,560 --> 01:05:57,920
Speaker 1: is alone uh and hopefully don't feel alone to this,

1208
01:05:58,040 --> 01:05:59,920
Speaker 1: to this, but I like it. If you feel like

1209
01:06:00,040 --> 01:06:01,400
Speaker 1: I listened to it, I should be on a commuter

1210
01:06:01,480 --> 01:06:04,720
Speaker 1: train just looking out the window and just being like, yeah,

1211
01:06:05,200 --> 01:06:09,520
Speaker 1: I want to get this money, all right, Yeah, so

1212
01:06:09,760 --> 01:06:11,320
Speaker 1: use that to motivate. You don't know how many you'll

1213
01:06:11,400 --> 01:06:13,840
Speaker 1: take commuter trains, but if you do, please think of me.

1214
01:06:14,280 --> 01:06:16,080
Speaker 1: All Right, we're gonna ride out on that. We will

1215
01:06:16,120 --> 01:06:19,040
Speaker 1: be back tomorrow because it is a daily podcast. We'll

1216
01:06:19,040 --> 01:06:59,680
Speaker 1: talk to you guys and by that's well, girl, that's

1217
01:06:59,720 --> 01:07:00,960
Speaker 1: your posted them