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

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Speaker 1: episode four of Daily's I Guys Day production of iHeartRadio.

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

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Speaker 1: into america shared consciousness. This is a bad podcast to

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Speaker 1: sleep too. I realize sometimes they are like podcasts that

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Speaker 1: I'll just like put on.

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Speaker 2: I'll be falling asleep. We scream too much.

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Speaker 1: I don't think anybody's sleeping this podcast natunately.

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Speaker 2: No, no, no, you can't. But we can sleep into

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Speaker 2: the news, you creeping fascism.

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Speaker 1: No. Should we do a like one episode a week.

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Speaker 2: Where we just like, gotta this the sleepy episode. Yeah, sleep,

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Speaker 2: we can try, We can try.

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Speaker 1: It's Thursday, March seventh, seventh, seven, twenty twenty four, which

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Speaker 1: of course means.

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Speaker 2: Oh you don't, Oh you didn't know. It's a National

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Speaker 2: Slam the Scam Day. I guess it's about consumer It's

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Speaker 2: Consumer Protection Week, National Serial Day, shout out Kelloggs man

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Speaker 2: Cereal for breakfast, oh, you know, for consumers under pressure

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Speaker 2: rather than saying poverty, National Crown Roast of Pork Day,

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Speaker 2: very specific, National Hospitalist Day, National Flapjack Day. And March seventh,

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Speaker 2: obviously the twenty second anniversary of my dad leaving my mom.

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Speaker 2: Oh wow, remember that when we called him that one? Yeah, yeah,

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Speaker 2: that was weird. Was that was that like the first

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Speaker 2: two thousand and two? Wow? Oh that was like the

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Speaker 2: first Yeah, I think it was like the first year

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Speaker 2: first second year anniversary. Yeah, yeah, that was fucked up.

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Speaker 2: Everybody's doing great, though, everybody's doing great. My mom, my dad,

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Speaker 2: We're all fine. We're off. That's right, So shout out,

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Speaker 2: shout out to time, heal the Woman.

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Speaker 1: My name is Jack O'Brien aka font New Softest. So

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Speaker 1: let me press on that. Don't call of the void.

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Speaker 1: I'm a monster. I'm going to hell. Oh, Finn to

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Speaker 1: know that is courtesy of the Lake Rogers on the discord. Uh,

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Speaker 1: he said he's not proud of this one, but he's

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Speaker 1: a little proud of that one. You can tell it

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Speaker 1: and what and we're pride.

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Speaker 2: That was a lot of fun.

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Speaker 1: I just want to press on that damn thing because

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Speaker 1: I'm a sick fuck. Anyways, I'm thrilled to be joined

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Speaker 1: as always by my co host, mister Miles Gray.

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Speaker 2: It's Miles Gray, straight off Lakersom, Boulevardist, the Lord of Lakersham,

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Speaker 2: the Great from me one to eighth and also the

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Speaker 2: Showgun with No Gun. Thank you so much for having

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Speaker 2: me again, Jack. I know we go show by show

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Speaker 2: whether or not I'll be the co host, but yeah,

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Speaker 2: thanks again for having.

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Speaker 1: Me gun no Showgun with no gun because gun people

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Speaker 1: have gun problem problem.

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Speaker 2: You got guns, you got gun problems exactly, you don't

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Speaker 2: need no guns.

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Speaker 1: Well, we are thrilled to be joined in our third seat,

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Speaker 1: a car seat in this case by a very funny

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Speaker 1: comedian who has a new comedy album out on Blonde

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Speaker 1: Medicine called Feeling Myself.

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Speaker 2: I'm feeling myself.

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Speaker 1: I'm feeling my feeling my Please, welcome to this show,

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Speaker 1: Emily Vanda, Welcome.

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Speaker 2: What's up?

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Speaker 3: I feel bad? I don't have a too long AKA.

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Speaker 3: I didn't know I too Yeah, prepare a jingle.

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Speaker 2: It's okay. You know some some people have them. Most

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Speaker 2: people don't, to be honest, So you know you're you're

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Speaker 2: you fit right in with everybody else. Yeah.

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Speaker 1: It's like people who've been on a dozen times and

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Speaker 1: are like, I don't know on board. Well, we'll give

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Speaker 1: this a shot. How are you doing? So you're coming

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Speaker 1: to us from a car in Michigan.

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Speaker 3: That's right, from my roots. Yeah, yeah, I'm visiting. I'm

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Speaker 3: live in San Francisco, but I'm on a little like

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Speaker 3: travel sabbatical with my kids for the spring. So in

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Speaker 3: Grand Rapids to pick up my mom and then we're

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Speaker 3: head to Ireland tonight.

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Speaker 2: So whoa were you just in Cuba?

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Speaker 4: I was just in Cuba, that's right.

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Speaker 2: Yeah. I was like, wait, you are EVD all over

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Speaker 2: the place. Okay, rack up those miles. What are you doing?

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Speaker 2: What are you doing in Ireland? Oh?

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Speaker 3: It's been on my bucket list and I you know,

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Speaker 3: I've got two kids. We've got to do, like the

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Speaker 3: car seats and everything. So I thought, what's what seems

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Speaker 3: like a chill, relatively safe and relaxed trip. Plus Ireland

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Speaker 3: has been I don't know, I've been. It's been on

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Speaker 3: my bucket list for a while. So yeah, I'm excited

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Speaker 3: to see some castles, drink some beer, maybe get rained on,

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Speaker 3: see some cliffs, hopefully not.

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Speaker 4: Fall off them.

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Speaker 1: Right, Yeah, all of those things are happening. Not much

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Speaker 1: besides those things, but all of those things will happen

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Speaker 1: in Ireland. Sea castles, drink beer, get rained on sea cliffs.

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Speaker 2: If you go on the West Coast and you gotta

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Speaker 2: have a spice bag. That's the thing I always want

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Speaker 2: to try, is the spice bag. What's the spicy spice bag?

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Speaker 2: Is like Irish street food?

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Speaker 1: Are you confiering Ireland with the planet from Dune? Oh,

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Speaker 1: I think you're thinking of I think you're thinking of

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Speaker 1: a spice bag.

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Speaker 2: No, you don't. Ever you never heard of a spice bag.

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Speaker 2: It's like it's like fries and like, like just google

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Speaker 2: spice bag. It's like it's an Irish takeaway thing or

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Speaker 2: at a Chinese takeaway. You get it. But I always

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Speaker 2: see I'm always into like regional street food, and like

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Speaker 2: I always even like they people big up the spice

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Speaker 2: bag and.

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Speaker 1: It sounds like something that John McLain would call Hans Grew.

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Speaker 1: We're in the TNT cut of Diehard. Why don't you

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Speaker 1: go grab yourself your spice bag yet?

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Speaker 2: No, it's real street food, all.

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Speaker 1: Right, Emily. We're gonna get to know you a little

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

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Speaker 1: listeners a couple of the things we're talking about from

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Speaker 1: the news. We're gonna you know, we talked about Super

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Speaker 1: Tuesday on yesterday's episode. We're gonna just take a little

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Speaker 1: bit deeper look into the numbers, because Uncommitted had a

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Speaker 1: big day, big day, Big Super Tuesday.

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Speaker 2: Put the smash on Dean Phillips so bad you drop out.

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Speaker 1: They're like, not this guy, but also not the big

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Speaker 1: guy either.

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Speaker 2: So we'll talk about that.

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Speaker 1: We'll talk about the ai were artwork that is being

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Speaker 1: used to make Trump look like he's good at the cookout.

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Speaker 2: Yeah yeah, spoiler alert, he is not. He is not.

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Speaker 2: It turns out.

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Speaker 4: Turns out Trump means a spice bag.

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Speaker 2: Yeah bag for sure.

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Speaker 1: Yeah, yet lousy spice bag. We will talk about the

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Speaker 1: German Man who got vaccinated over two hundred times and shit.

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Speaker 1: And we'll talk about all Stora, which is like a

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Speaker 1: online bookstore. Rupe Paul has partnered with them, and it

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Speaker 1: is it's just like a fucking you know, a scam.

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Speaker 1: It's just rott economy, as we talked about on an

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Speaker 1: episode earlier this week.

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Speaker 2: A lot of interesting a lot of interesting titles on

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Speaker 2: offer there. We'll have to dive into what you can

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Speaker 2: buy on that.

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Speaker 1: It's just a drop shipping operation, all of that plenty more.

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Speaker 1: But before we get to any of that bullshit, Emily

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Speaker 1: van Dyke, we do like to ask our guests, what

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Speaker 1: is something from your search history that is revealing about

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Speaker 1: who you are?

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Speaker 3: Oh, I would say my recess search history is how

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Speaker 3: many poops per day?

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Speaker 4: Four year old?

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Speaker 3: I'm really on the poop tracking life, yeah, with my kids,

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Speaker 3: because we just got back from Cuba, and so I'm like,

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Speaker 3: how many poop?

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Speaker 4: There's too many? You know, I don't know if we

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Speaker 4: got some sort of intestinal thing or we're just I

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Speaker 4: don't know. So that's that's pretty standard.

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Speaker 2: Wait, so you're you're wondering if there's too many, like

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Speaker 2: you're right now, You're like, yo, you're blowing it up

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Speaker 2: pretty frequently right now.

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Speaker 1: Yeah.

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Speaker 3: She does this thing where as soon as I sit

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Speaker 3: down to dinner, she's like, I have to go right now,

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Speaker 3: So I have to abandon the dinner that I've made

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Speaker 3: or bought and I have to go wait in a

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Speaker 3: bathroom with her.

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Speaker 4: She likes to talk.

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Speaker 3: She's aries, you know, so she's really into the poop talk.

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Speaker 3: So I'm like, I can't. It's it's it's a lot.

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Speaker 3: It's a lot of times per day to be interrupted.

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Speaker 3: So I'm like, is how many times?

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Speaker 2: Yeah? Is it? Is there a No? I feel like

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Speaker 2: I have a like a little bit over one year old,

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Speaker 2: and I was like, oh, let's do this doing a

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Speaker 2: lot of shits, even more and more. But then it's

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Speaker 2: like there's really no number. They're like, no, if shit's working,

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Speaker 2: that's just yeah, don't worry about it. Sometimes it can

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Speaker 2: bear in one day or none for a couple of days,

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Speaker 2: that's right.

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Speaker 3: Yeah, it turns out there's only two few ships, right yeah.

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Speaker 1: Yeah, yeah that you don't want to You don't want

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Speaker 1: to get into that business.

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Speaker 2: That's a nasty business, the too few ships. Yeah yeah. Yeah.

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Speaker 1: So like the deep thoughts from my kids. I have

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Speaker 1: a six year old and a seven year old, and

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Speaker 1: the deep thoughts come out when they're taking a shit.

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Speaker 2: They want to they just want.

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Speaker 1: To like ask me questions about the universe and like, wow,

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Speaker 1: what goes on outside of like after the universe, what's

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Speaker 1: on the outside of that?

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Speaker 2: Wa? Wow? Like bro, that's for freshman year of college

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Speaker 2: for you to figure that part out. Bro.

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Speaker 1: Yeah.

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Speaker 2: Yeah.

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Speaker 4: My daughter's birthday is on the solar eclipse, so I'm

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Speaker 4: gonna have to go into like planets, the moon, the

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Speaker 4: whole thing. I get. I mean, we've gone over it,

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Speaker 4: but this is going to be very real.

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Speaker 3: I'm going to try to swing the solar eclipse as

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Speaker 3: her birthday celebration, like the planets and the sun and

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Speaker 3: the moon did this for her turning five. So yeah,

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Speaker 3: I don't know. I don't know if Party City has

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Speaker 3: a solar eclipse.

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Speaker 2: Pack the kid. Yeah, right, right, right, man, We're never

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Speaker 2: going to get a good solar clips this one. It's like,

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Speaker 2: I feel like, right over Paducah, Kentucky, you gotta travel

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Speaker 2: for I know, I might have to go to Columbia,

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Speaker 2: South Carolina, Nashville, Lincoln, Nebraska, Salem, Washington is probably the

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Speaker 2: closest place I could catch it. Damn oh wait, no, no,

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Speaker 2: that was the different one. No, no, it's the April

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Speaker 2: eighth one, because I'm guessing what time about the April

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Speaker 2: eighth one? Yeah, yeah, that one was if you and Dallas,

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Speaker 2: Little Rock, Paducah, Indianapolis, Cleveland, Syracuse, Burlington, Vermont, it's coming

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Speaker 2: for you straight over.

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Speaker 4: That's right. That's right.

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Speaker 3: So I'm gonna try to talk my mom to go

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Speaker 3: down to Indianapolis and catch it. That's where a lot

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Speaker 3: of my friends live.

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Speaker 2: I would love to see, man, I've every time. Remember

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Speaker 2: what was it in twenty seventeen, right when we first

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Speaker 2: started recording the show, that happened, and we saw like

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Speaker 2: the clips of the eclipse when it just goes straight.

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Speaker 1: Down and looked straight up at the Yeah, at the setup.

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Speaker 3: Yeah, yeah, that's my that's my Google search.

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Speaker 4: Yep, that's it.

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Speaker 1: What uh? What something you think is underrated right now?

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Speaker 4: Women's rights.

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Speaker 3: I thought we had women's rights locked in when I

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Speaker 3: was on the come up in my twenties or early thirties,

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Speaker 3: I was like, we are really crushing it on women's

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Speaker 3: rights right now. No, I didn't know. I didn't know

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Speaker 3: that this could all get taken away so fast. We

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Speaker 3: got we're fighting for abortions, and we're fighting for we

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Speaker 3: got no paid maternity leave, we have no affordable childcare.

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Speaker 3: I mean, we're people are saying IVF embryos are kids now.

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Speaker 4: It's I didn't realize.

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Speaker 3: And then you've got all the microaggressions being a mom

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Speaker 3: right now, traveling with my kids still, all the microroggressions

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Speaker 3: like what's this mom doing with her two kids out

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Speaker 3: in the airport? Get your get your trash ass back

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Speaker 3: home and cook and clean and silence where we don't

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Speaker 3: have to see. It's like it's all the microaggressions, plus

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Speaker 3: the expectations that you have to be like beautiful and

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Speaker 3: effervescent and well dressed, and you get no child care

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Speaker 3: and you get low wages. I'm just like, come on,

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Speaker 3: I thought we were I thought we were past this.

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Speaker 3: Now we're just heading back.

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Speaker 2: Yeah in America. Yeah huh yeah, we're just talking to

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Speaker 2: about how Joe Biden also like just can't straight up

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Speaker 2: be like yeah, man, like we're gonna figure this out,

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Speaker 2: rather than being like, you know, I'm not. We talked

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Speaker 2: about this two episodes ago. He's like, I've never been supportive.

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Speaker 2: You know, it's my body. I can do what I

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Speaker 2: want with it. It's like, don't say that. Yeah, it's

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Speaker 2: actually the Lord's It's.

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Speaker 3: So interesting because if we were if we were forcing

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Speaker 3: Joe Biden to like donate part of his liver to

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Speaker 3: save a life, which would basically be the same thing

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Speaker 3: using somebody's body to keep another person alive, he would

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Speaker 3: be like, oh, no, you're not coming for this liver.

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Speaker 4: Yeah, you're going to force me into a liver surgery.

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Speaker 3: No, no, no, no, have you seen the scar?

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Speaker 2: I'm not getting that scar? No, no, no, I'm going

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Speaker 2: to the beach. I'm going to the beach this summer.

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Speaker 2: That's right. Yeah, you also have a Sky on Paw Patrol.

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Speaker 3: Oh man, this is this is a deep cut. I

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Speaker 3: don't know if you guys are with the Pop Patrol.

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Speaker 3: Maybe you are because you have kids. Man, all right,

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Speaker 3: Paw Patrol, you got it all right. So I don't

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Speaker 3: know why I've been watching so much Pop Patrol with

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Speaker 3: my stun. But Sky, I think is like one of

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Speaker 3: the only the only or one of the only girl characters,

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Speaker 3: but the only one there.

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Speaker 4: Maybe there's one more.

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Speaker 1: Yeah, I think it's like a smurfet type division. Like

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Speaker 1: it's that's right, one girl or like maybe maybe another one.

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Speaker 4: That's right.

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Speaker 3: Chase is the main dog or whatever. He always he

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Speaker 3: kind of gets all the action, but he is always

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Speaker 3: like hetering out on the courage, like he's like, I'm

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Speaker 3: gonna go save it.

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Speaker 4: Oh no, I can't.

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Speaker 3: And then Sky's like, I got it, you know, let

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Speaker 3: me go up there and save the day. Sky is

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Speaker 3: always handling business. She has no fear, she has no excuses,

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Speaker 3: and chases up there, getting all the all the action,

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Speaker 3: and then they gotta then they gotta make him feel better,

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Speaker 3: like that's Okay, Chase, we all get scared. It's like

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Speaker 3: Sky doesn't get scared. Skuy's out there in the airplane

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Speaker 3: saving the day. I'm just like, man, not even Sky

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Speaker 3: can get the get the you know, the accolades that

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Speaker 3: she deserves.

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Speaker 4: It's hard for me to watch.

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Speaker 2: I'm like, come on, and it said it's the guy.

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Speaker 2: It's the cop. That's fucking cab does include Chase. But yeah,

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Speaker 2: we have established that in this house, we do believe

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Speaker 2: a cab doesn't.

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Speaker 1: Twitter is Twitter, it's not X and a cab does

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Speaker 1: include Chase. Those are the two things on our yard

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Speaker 1: sign every day.

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Speaker 2: Oh and also meta Facebook is we will never call

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Speaker 2: meta our Facebook meta to be fair, nobody else will either. Yeah,

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Speaker 2: yes for sure.

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Speaker 1: Also just from like a strategic standpoint, like Sky is

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Speaker 1: your your like problem solving group has a fucking air force,

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Speaker 1: Like it has a clumsy a clumsy fireman is like

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Speaker 1: one of the dogs, Chase, who's just yeah, a cowardly

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Speaker 1: police officer. So just a police officer. Rubles got tool,

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Speaker 1: Rubble's got tools. But then they have air force, like

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Speaker 1: that would be that is your best weapon. That is

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Speaker 1: that is the leader of your pack. Yeah, is the

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Speaker 1: one who can fly, who can control the skies? Yes,

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Speaker 1: but yeah they underrate because of women's rights.

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Speaker 4: You know, that's what I'm saying.

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Speaker 2: I think, man, Yeah, get your son off that paw patrol.

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Speaker 2: You know what I mean, we need that copaganda, you know.

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Speaker 2: Put him onto something new. Yeah, it really is.

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Speaker 3: And his and his little buddy. What's the what's the

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Speaker 3: boy's name? I was like, man, you know what your

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Speaker 3: little buddies. It's a it's a bad situation.

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Speaker 1: Yeah that I always yeah, I always want to call

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Speaker 1: him Chase, but he's not chased. But yeah, there's like

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Speaker 1: a human twelve year old boy who is the leader,

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Speaker 1: and I do not trust that guy.

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Speaker 2: Is that boy white? Yeah? Oh hell no, bro, Yeah

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Speaker 2: he's he's the one pulling all the strings getting the

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Speaker 2: cops to do things. Okay, well maybe that is good

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Speaker 2: for a child to see it, to be like, no,

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Speaker 2: this is actually this give you an idea, you know

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Speaker 2: what I mean, how how shit works?

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Speaker 4: Yeah, he runs like the call center or something.

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Speaker 1: Yeah, it's like nine children.

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Speaker 2: It's in this show to a job.

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Speaker 1: The mayor is a woman of color and is a

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Speaker 1: bumbling fool.

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Speaker 3: Oh no, but the mayor in the movie is like

329
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Speaker 3: a white guy with the top hat who says things

330
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Speaker 3: like an unqualified politician, what's the worse that could happen?

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Speaker 2: Oh wow? Oh really that's where they went.

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00:15:26,600 --> 00:15:30,440
Speaker 3: Oh yeah, that's where they went. Let's getting political in

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Speaker 3: the in the in the in the Mighty Pups movie.

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Speaker 2: Yeah, I see, I missed the movie.

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Speaker 1: Thank god we had aged out by that time. What

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Speaker 1: is What's something? And and that is also? Yeah, you're

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00:15:44,680 --> 00:15:47,760
Speaker 1: also here to promote the Poptrol movie an addition to.

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Speaker 4: Your the sale.

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00:15:51,520 --> 00:15:55,800
Speaker 1: Just go through my affiliate link and that would be great.

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Speaker 2: Thanks.

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

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Speaker 4: I think WiFi is overrated.

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Speaker 2: On it.

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Speaker 3: I think I think that's like a two thousand to

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00:16:04,960 --> 00:16:08,240
Speaker 3: twenty ten thing. And I think we've I think I

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00:16:08,240 --> 00:16:10,360
Speaker 3: don't even know why people are still so obsessed with

347
00:16:10,400 --> 00:16:12,800
Speaker 3: Wi Fi. Like people go to your house, like, what's

348
00:16:12,840 --> 00:16:15,080
Speaker 3: your WiFi password? Like was it two thousand and nine?

349
00:16:15,080 --> 00:16:16,960
Speaker 3: What do you mean my WiFi password for? You know,

350
00:16:17,080 --> 00:16:19,960
Speaker 3: like this, just stop stop with the Wi Fi, got

351
00:16:20,000 --> 00:16:23,120
Speaker 3: unlimited data on your phone, break up with comcasts. That's

352
00:16:23,160 --> 00:16:26,080
Speaker 3: been a toxic relationship your whole life. So just right,

353
00:16:26,920 --> 00:16:28,560
Speaker 3: it's over. Whyfi's over?

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Speaker 4: Let it go?

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00:16:30,080 --> 00:16:32,479
Speaker 2: It's over. We got it. We have so many wireless

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Speaker 2: forms of communication.

357
00:16:33,960 --> 00:16:36,440
Speaker 3: Yeah, you got a hot spot on your phone. Welcome

358
00:16:36,480 --> 00:16:39,120
Speaker 3: to twenty twenty four. Break up with Wi Fi is

359
00:16:39,480 --> 00:16:40,400
Speaker 3: old boom.

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00:16:40,480 --> 00:16:43,080
Speaker 1: Yeah, and then you also have dating apps, not feeling

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Speaker 1: data apps.

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Speaker 3: I honestly, I mean this is this is a an

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Speaker 3: unpopular belief. I'm not feeling the internet really at all.

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00:16:51,240 --> 00:16:54,280
Speaker 2: No, that's that's becoming popular. I think the more people

365
00:16:54,400 --> 00:16:58,600
Speaker 2: learn about like how technology and tech companies operate, Like

366
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Speaker 2: what the fuck are we letting these fucking jokers dictate everything? Yeah?

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Speaker 3: Yeah, I know I feel I feel I feel like

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Speaker 3: I don't know if I'm like a conspiracy theorist, but

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00:17:08,400 --> 00:17:11,040
Speaker 3: I'm like, wait a second, So my phone has facial

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00:17:11,080 --> 00:17:14,760
Speaker 3: recognition and it has my thumbprint and ancestry dot com

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00:17:14,760 --> 00:17:18,320
Speaker 3: in twenty three and meters has my DNA, right, and

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00:17:18,359 --> 00:17:21,399
Speaker 3: then YouTube has my voice and my face. Like I

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00:17:21,400 --> 00:17:24,639
Speaker 3: don't really get how I'm like a person anymore, you

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Speaker 3: know what I'm saying.

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Speaker 4: Like, I think even when.

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00:17:27,040 --> 00:17:30,359
Speaker 3: We uploaded all of our picture or our selfies to

377
00:17:30,440 --> 00:17:32,760
Speaker 3: like show see how we would look if we were old,

378
00:17:32,920 --> 00:17:34,320
Speaker 3: you know, like I was just like we are just

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00:17:34,480 --> 00:17:37,840
Speaker 3: uploading all of our faces to catalog for some sort

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Speaker 3: of evil person.

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00:17:39,000 --> 00:17:41,280
Speaker 2: It could be funny like yeah, like how sort of

382
00:17:41,280 --> 00:17:44,000
Speaker 2: like copyrights sort of like fade after one hundred yearss

383
00:17:44,000 --> 00:17:45,439
Speaker 2: Like oh yeah, man, I can do whatever with your

384
00:17:45,520 --> 00:17:47,639
Speaker 2: likeness because they've been dead for a hundred years. And

385
00:17:47,680 --> 00:17:50,960
Speaker 2: then like, yeah, we become the new avatars of I

386
00:17:50,960 --> 00:17:53,320
Speaker 2: don't know, maybe I'll saw Doctor Pepper chewing gum or something.

387
00:17:53,359 --> 00:17:54,720
Speaker 2: I don't know, but yeah, that'd be cool.

388
00:17:55,359 --> 00:17:58,040
Speaker 1: Oh man, that would be that'd be great after like

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Speaker 1: Doctor Pepper commercials.

390
00:18:01,000 --> 00:18:02,000
Speaker 4: I love Doctor Pepper.

391
00:18:02,359 --> 00:18:05,760
Speaker 3: No, but dating apps are They're horrible. Everybody everybody hates them.

392
00:18:05,880 --> 00:18:08,640
Speaker 3: I mean they they barely work. It's just like it's

393
00:18:08,680 --> 00:18:12,359
Speaker 3: just leftovers. And everybody that's single is like, oh you

394
00:18:12,480 --> 00:18:14,239
Speaker 3: on the apps. It's like something you don't want it.

395
00:18:14,400 --> 00:18:16,240
Speaker 3: You don't want it, you know. So I wish we

396
00:18:16,240 --> 00:18:21,719
Speaker 3: could like reinvent like having a personality going outside interacting

397
00:18:21,760 --> 00:18:24,600
Speaker 3: with another person with their personality and y'all have like

398
00:18:24,680 --> 00:18:26,320
Speaker 3: regular chemistry.

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00:18:26,080 --> 00:18:28,280
Speaker 2: Right yeah, Well, because now it's like it's like, yeah,

400
00:18:28,320 --> 00:18:32,280
Speaker 2: one company owns them all and it's like cridal like

401
00:18:32,320 --> 00:18:34,439
Speaker 2: crypto too, or like the early days we were like, no,

402
00:18:34,520 --> 00:18:36,520
Speaker 2: I met my wife or I'm at my partner on

403
00:18:36,680 --> 00:18:38,639
Speaker 2: the dating I was like, oh really, and it's like,

404
00:18:38,680 --> 00:18:42,679
Speaker 2: yeah it was. That was fucking eight years ago. They're like,

405
00:18:42,720 --> 00:18:44,280
Speaker 2: not now, bro, it's different now.

406
00:18:44,840 --> 00:18:48,480
Speaker 3: Yeah, No, Matt Cherry, people are trying to sell you

407
00:18:48,520 --> 00:18:49,479
Speaker 3: crypto on there.

408
00:18:50,000 --> 00:18:51,720
Speaker 4: It's getting real kidnappy.

409
00:18:51,920 --> 00:18:56,240
Speaker 1: It's weird kidnappy. Jesus, that was not That was not

410
00:18:56,320 --> 00:19:00,680
Speaker 1: an adjective I had associated with dating apps. Kidnappy, Chris,

411
00:19:01,200 --> 00:19:03,760
Speaker 1: what does that mean? What how is it getting kidnappy?

412
00:19:03,960 --> 00:19:05,359
Speaker 2: Like kidnapper vibes out there?

413
00:19:06,040 --> 00:19:08,159
Speaker 3: Yeah, before you go on a date, you have to

414
00:19:08,240 --> 00:19:11,840
Speaker 3: like share your location with a friend, right, you know,

415
00:19:11,920 --> 00:19:14,880
Speaker 3: kind of like you're starting end times and then yeah,

416
00:19:14,960 --> 00:19:18,000
Speaker 3: people just action acting nuts.

417
00:19:17,720 --> 00:19:20,080
Speaker 1: Right and like to get to make sure the person

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Speaker 1: is who they say they are, and you know, make

419
00:19:24,240 --> 00:19:28,040
Speaker 1: them like have a have a picture, like have the

420
00:19:28,080 --> 00:19:31,720
Speaker 1: newspaper in front of them on the day, timing with them.

421
00:19:31,800 --> 00:19:34,240
Speaker 2: Right. Yeah, that's right, amazing.

422
00:19:34,520 --> 00:19:38,720
Speaker 1: All right, Well that sounds shitty, Emily, but it's great

423
00:19:38,760 --> 00:19:40,879
Speaker 1: getting to know you a little bit better. We're gonna

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00:19:40,880 --> 00:19:43,520
Speaker 1: take a quick break and then we're gonna come back

425
00:19:43,720 --> 00:19:45,520
Speaker 1: and talk about Super Tuesday.

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Speaker 2: We'll be right back.

427
00:19:56,800 --> 00:20:02,159
Speaker 1: And we're back, and and the big winners of Super

428
00:20:02,200 --> 00:20:07,200
Speaker 1: Tuesday were, of course, anybody who snagged free donuts as

429
00:20:07,240 --> 00:20:10,400
Speaker 1: part of krispy Kreme's democracy campaign.

430
00:20:11,240 --> 00:20:12,840
Speaker 2: Great, Holy shit.

431
00:20:13,640 --> 00:20:16,040
Speaker 1: I'm always people are like and then like they'll tell

432
00:20:16,040 --> 00:20:18,760
Speaker 1: you to rock the vote, and I'm always like, nobody's

433
00:20:18,760 --> 00:20:21,080
Speaker 1: gonna fucking do that anymore. Like that was such a

434
00:20:21,200 --> 00:20:24,639
Speaker 1: nineties ass like we're we live in a different world.

435
00:20:24,760 --> 00:20:29,040
Speaker 1: Nobody's gonna be like, Oh, voting is so cool, let's

436
00:20:29,119 --> 00:20:31,760
Speaker 1: hop on it. And then democracy.

437
00:20:32,119 --> 00:20:36,200
Speaker 2: Yeah, I still get all my voting tips from mud Honey.

438
00:20:37,040 --> 00:20:39,320
Speaker 2: That's just because I remember how they rocked the vote

439
00:20:39,320 --> 00:20:42,679
Speaker 2: that man Diddy was one of the biggest on the.

440
00:20:43,560 --> 00:20:46,399
Speaker 3: MTV did a good job back with those spring break

441
00:20:46,440 --> 00:20:49,080
Speaker 3: parties and my music videos. I mean, they had a

442
00:20:49,080 --> 00:20:53,080
Speaker 3: little rock the Vote moment there in the late nineties

443
00:20:53,119 --> 00:20:54,240
Speaker 3: early two thousands.

444
00:20:54,280 --> 00:20:57,159
Speaker 4: But yeah, I mean, somebody's got to come harder than

445
00:20:57,240 --> 00:20:57,840
Speaker 4: krispy Kreme.

446
00:20:57,960 --> 00:21:01,639
Speaker 2: This is they sad, yikes.

447
00:21:01,680 --> 00:21:04,800
Speaker 4: Krispy Kreme's only corporation defending democraties.

448
00:21:05,280 --> 00:21:09,000
Speaker 2: Yeah, and they can't even be like unequivocal about it,

449
00:21:09,119 --> 00:21:11,400
Speaker 2: Like what if we just call a democracy just kind

450
00:21:11,440 --> 00:21:13,600
Speaker 2: of take this thing out of it. Yeah, it is.

451
00:21:13,520 --> 00:21:17,520
Speaker 1: So funny to me that like rock bands were like

452
00:21:17,680 --> 00:21:20,639
Speaker 1: rock the rock the vote like that. That's just like

453
00:21:20,760 --> 00:21:23,200
Speaker 1: not a cool I get if you have the conviction

454
00:21:23,359 --> 00:21:26,800
Speaker 1: to be like vote for this guy because or you know,

455
00:21:27,119 --> 00:21:29,679
Speaker 1: like this this is a side that has beliefs that

456
00:21:29,720 --> 00:21:34,120
Speaker 1: I subscribe to. But to just be like vote man,

457
00:21:34,520 --> 00:21:37,920
Speaker 1: Hell yeah, it is like kind of funny. Yeah, that

458
00:21:37,920 --> 00:21:39,720
Speaker 1: that was something we tried.

459
00:21:40,080 --> 00:21:42,040
Speaker 3: It's kind of the message we need, though, Like you

460
00:21:42,160 --> 00:21:45,040
Speaker 3: like music, what about voting? Have you ever thought about

461
00:21:45,400 --> 00:21:48,440
Speaker 3: listening to music and then going to vote, no matter

462
00:21:48,480 --> 00:21:49,560
Speaker 3: your belief.

463
00:21:49,280 --> 00:21:53,040
Speaker 2: System, do something or donut? I don't know, you'll like

464
00:21:53,080 --> 00:21:53,919
Speaker 2: donuts please?

465
00:21:54,040 --> 00:21:57,919
Speaker 1: Yeah? Something unclear, Uh, whether or not customers had to

466
00:21:57,960 --> 00:22:02,159
Speaker 1: choose between two stale terribles that everybody's already sick of,

467
00:22:02,560 --> 00:22:05,840
Speaker 1: or they if they were got to, you know, pick

468
00:22:05,920 --> 00:22:10,080
Speaker 1: their own. But Trump and Biden, predictably being the only

469
00:22:10,480 --> 00:22:14,359
Speaker 1: options for the most part, did pretty well. Obviously, Nicki

470
00:22:14,400 --> 00:22:16,879
Speaker 1: Haley we talked about did not do so well. So

471
00:22:17,200 --> 00:22:19,639
Speaker 1: I guess Trump was not the only option. He was

472
00:22:19,720 --> 00:22:21,920
Speaker 1: kind of the only option that people were picking, and

473
00:22:22,000 --> 00:22:23,159
Speaker 1: so Nicki Haley.

474
00:22:22,880 --> 00:22:24,160
Speaker 2: Has dropped out.

475
00:22:24,160 --> 00:22:28,280
Speaker 1: But people are pointing to their wins on Super Tuesday

476
00:22:28,880 --> 00:22:33,119
Speaker 1: and saying that they exposed some glaring weaknesses in both

477
00:22:33,160 --> 00:22:36,080
Speaker 1: candidates electoral coalitions.

478
00:22:36,160 --> 00:22:37,600
Speaker 2: A lot of people are been like with the amount

479
00:22:37,600 --> 00:22:39,880
Speaker 2: of people that voted for Haley, it's like Trump's got

480
00:22:39,880 --> 00:22:43,080
Speaker 2: a suburban problem, which I think has existed. There's been

481
00:22:43,119 --> 00:22:46,040
Speaker 2: something that's been developing over the last few years anyway.

482
00:22:46,600 --> 00:22:48,679
Speaker 2: And a lot of people too, like who voted for

483
00:22:48,760 --> 00:22:50,600
Speaker 2: Haley or sort of like, I don't know what I'm

484
00:22:50,640 --> 00:22:52,760
Speaker 2: going to do in the fall, so there's you know,

485
00:22:52,960 --> 00:22:55,640
Speaker 2: but let's be real, I have a feeling they'll probably

486
00:22:55,680 --> 00:22:57,639
Speaker 2: just be like, yeah, I guess I'll just vote for

487
00:22:57,680 --> 00:23:01,480
Speaker 2: Trump again. And then with Biden, it was the uncommitted

488
00:23:01,960 --> 00:23:04,440
Speaker 2: movement to vote uncommitted that was spreading a lot of

489
00:23:04,440 --> 00:23:07,320
Speaker 2: people like it's probably just in Michigan. It's probably just

490
00:23:07,359 --> 00:23:10,400
Speaker 2: in Michigan. No. No, if you look at the polling,

491
00:23:11,240 --> 00:23:15,640
Speaker 2: a significant majority of Democrats want a cease fire, and

492
00:23:16,040 --> 00:23:19,480
Speaker 2: the similar majority want the US to stop arming Israel

493
00:23:19,840 --> 00:23:23,760
Speaker 2: like in the sixties, Like, it's not like sixty percentile.

494
00:23:24,160 --> 00:23:26,560
Speaker 2: So I don't think it's that surprising that you saw

495
00:23:26,640 --> 00:23:29,199
Speaker 2: these kinds of big turnouts or at least, you know,

496
00:23:29,240 --> 00:23:31,600
Speaker 2: bigger than expected. Like in North Carolina, twelve and a

497
00:23:31,600 --> 00:23:35,600
Speaker 2: half percent voted no preference, nine percent did so. In Massachusetts,

498
00:23:35,800 --> 00:23:39,840
Speaker 2: ten percent voted uncommitted. In Tennessee and Colorado seven percent

499
00:23:39,920 --> 00:23:43,160
Speaker 2: voted uncommitted or non committed as it's on their ballots.

500
00:23:43,440 --> 00:23:45,520
Speaker 2: And like in other states, some people were said, hey,

501
00:23:45,560 --> 00:23:48,560
Speaker 2: just right in ceasefire as a candidate, but those that's

502
00:23:48,560 --> 00:23:51,240
Speaker 2: a little bit harder to sort of quantify what happened there.

503
00:23:51,520 --> 00:23:56,199
Speaker 1: But yeah, I mean uncommitted got nineteen percent in Minnesota.

504
00:23:56,359 --> 00:23:58,600
Speaker 1: Like that's no, that's no joke.

505
00:23:59,000 --> 00:24:02,040
Speaker 3: Give it up to Palaestinians and Arabs and dearborn that

506
00:24:02,280 --> 00:24:05,200
Speaker 3: like put a path forward, like okay, we all are

507
00:24:05,200 --> 00:24:07,880
Speaker 3: feeling the same way. This is an action that we're

508
00:24:07,880 --> 00:24:10,000
Speaker 3: gonna do R And then it was like, all right,

509
00:24:10,080 --> 00:24:10,640
Speaker 3: let's do that.

510
00:24:10,840 --> 00:24:11,680
Speaker 4: You're right, we are.

511
00:24:11,880 --> 00:24:15,360
Speaker 3: Let's let's express together where we're all at so that

512
00:24:15,520 --> 00:24:18,359
Speaker 3: we can see it in percentages. And then you see

513
00:24:18,520 --> 00:24:23,480
Speaker 3: Kamala Harris come out with her whackass immediate ceasefire dot

514
00:24:23,520 --> 00:24:24,480
Speaker 3: dot dot dot.

515
00:24:24,440 --> 00:24:25,480
Speaker 2: Or at least six.

516
00:24:25,960 --> 00:24:30,800
Speaker 1: Yeah, the next day, or at least spring break, yeah, yeah, yeah, at.

517
00:24:30,720 --> 00:24:33,000
Speaker 3: Least at least through Easter so that we can all

518
00:24:33,000 --> 00:24:34,640
Speaker 3: have our Easter egg hunts.

519
00:24:34,600 --> 00:24:37,960
Speaker 2: Right and then get back to the terrible realities of

520
00:24:38,000 --> 00:24:40,159
Speaker 2: what our foreign policy looks like. But I mean, I

521
00:24:40,200 --> 00:24:42,200
Speaker 2: think it was something. The amount of people who voted

522
00:24:42,440 --> 00:24:45,000
Speaker 2: uncommitted in Minnesota was I think, like larger than the

523
00:24:45,040 --> 00:24:48,560
Speaker 2: margin that Hillary Clinton won by in twenty sixteen. So

524
00:24:48,600 --> 00:24:51,359
Speaker 2: these aren't insignificant numbers. And I know a lot of

525
00:24:51,359 --> 00:24:54,359
Speaker 2: people it's starting off as being like, we're sending a

526
00:24:54,440 --> 00:24:58,440
Speaker 2: message that, you know, to do something if you want

527
00:24:58,520 --> 00:25:00,639
Speaker 2: us to pull up in November for you, Joe Biden.

528
00:25:01,040 --> 00:25:04,520
Speaker 2: But what the administration is going to do, it's still

529
00:25:04,600 --> 00:25:08,160
Speaker 2: just very it's lackluster. It doesn't seem like it's actually

530
00:25:08,760 --> 00:25:11,239
Speaker 2: taking into account what a lot of his own, you know,

531
00:25:11,320 --> 00:25:14,160
Speaker 2: base of voters is saying. So we'll see, I'm sure

532
00:25:14,200 --> 00:25:19,119
Speaker 2: we'll get some kind of you know, gesture towards a ceasefire.

533
00:25:19,119 --> 00:25:22,000
Speaker 2: But i'd imagine these aren't. These aren't something they're looking at,

534
00:25:22,040 --> 00:25:24,080
Speaker 2: and they can't just like laugh off and be like, ah,

535
00:25:24,080 --> 00:25:25,920
Speaker 2: it's fine, it's fine, it's nothing. It's nothing, it's nothing. No,

536
00:25:26,000 --> 00:25:28,840
Speaker 2: these are these are it's worth looking at. But there's

537
00:25:28,840 --> 00:25:31,280
Speaker 2: also a lot of people like in the punditry class

538
00:25:31,480 --> 00:25:34,320
Speaker 2: like it, don't worry about that. These people are just

539
00:25:34,359 --> 00:25:37,200
Speaker 2: freaking out. And I think that's a really dangerous game

540
00:25:37,240 --> 00:25:39,680
Speaker 2: to play because there are many people who are very

541
00:25:39,720 --> 00:25:44,560
Speaker 2: deeply disaffected by what's happening or also affected by what

542
00:25:44,600 --> 00:25:48,520
Speaker 2: they're seeing and what their government is having a hand in. So,

543
00:25:48,920 --> 00:25:50,639
Speaker 2: you know, it feels like an easy win, you know,

544
00:25:50,720 --> 00:25:53,680
Speaker 2: do the pullings right there for you, Joe Biden, over

545
00:25:53,840 --> 00:25:56,960
Speaker 2: half of your of your base of voters is saying

546
00:25:57,880 --> 00:25:59,880
Speaker 2: there's there's a right way to do things and maybe

547
00:26:00,240 --> 00:26:00,439
Speaker 2: do that.

548
00:26:00,880 --> 00:26:03,240
Speaker 3: Yeah, it's such an easy out for him too, because

549
00:26:03,280 --> 00:26:05,040
Speaker 3: even if he's like, y'all know me, I'm like the

550
00:26:05,080 --> 00:26:08,880
Speaker 3: original pro Israel guy. You know, his speech goes back

551
00:26:09,000 --> 00:26:12,120
Speaker 3: whatever forty years, you know, saying if we didn't.

552
00:26:11,920 --> 00:26:14,880
Speaker 1: Have even Yeah, but.

553
00:26:15,440 --> 00:26:17,119
Speaker 3: This is such an easy out where he's like, I

554
00:26:17,200 --> 00:26:19,879
Speaker 3: don't if it were just me, I would be in

555
00:26:19,960 --> 00:26:23,280
Speaker 3: Tel Aviv tomorrow, right, you know, hug and beebe. But

556
00:26:23,480 --> 00:26:26,960
Speaker 3: my constituents, I mean, it's the easiest out. Like all

557
00:26:26,960 --> 00:26:29,560
Speaker 3: you have to say is my constituents have voted, I'm

558
00:26:29,560 --> 00:26:32,359
Speaker 3: gonna do that, and then yeah, I don't want to

559
00:26:32,400 --> 00:26:36,560
Speaker 3: save democracy for four more years. Kind of maybe I

560
00:26:36,560 --> 00:26:38,440
Speaker 3: don't even know if a full one to eighty would

561
00:26:38,480 --> 00:26:40,800
Speaker 3: do it at this point, but yeah.

562
00:26:40,720 --> 00:26:42,320
Speaker 2: It's it's hard to know. And I mean, I think

563
00:26:42,359 --> 00:26:46,400
Speaker 2: for many people are who have watched it all unfolding

564
00:26:46,480 --> 00:26:50,600
Speaker 2: Gaza in the West Bank, are somewhere truly well and done,

565
00:26:50,640 --> 00:26:53,080
Speaker 2: like they're like, I fucking can't do this shit, like

566
00:26:53,119 --> 00:26:56,520
Speaker 2: this is wild that we have a government that could

567
00:26:56,520 --> 00:26:58,720
Speaker 2: look on at this ship and not do anything. And

568
00:26:58,800 --> 00:27:00,800
Speaker 2: so I think there's definitely a group of voters who

569
00:27:00,880 --> 00:27:03,240
Speaker 2: are deep. I don't like, I don't know how many

570
00:27:03,400 --> 00:27:06,280
Speaker 2: can be won back, but shit, you better start trying,

571
00:27:06,320 --> 00:27:09,360
Speaker 2: because if this threat to democracy is that large, then

572
00:27:09,720 --> 00:27:11,440
Speaker 2: you need to look at who you need to win

573
00:27:11,840 --> 00:27:14,359
Speaker 2: and begin to court those votes. Yeah, and not just

574
00:27:14,600 --> 00:27:18,960
Speaker 2: be out here trying to can perform for voters that

575
00:27:18,960 --> 00:27:22,600
Speaker 2: aren't going to bring you into the White House. But yeah, yeah.

576
00:27:22,520 --> 00:27:26,080
Speaker 3: Especially since we've been hearing about no handouts. We don't

577
00:27:26,119 --> 00:27:28,680
Speaker 3: have enough money for loan forgiveness, we don't have enough

578
00:27:28,720 --> 00:27:31,360
Speaker 3: money for mental health, we don't have enough money for

579
00:27:32,080 --> 00:27:36,040
Speaker 3: X y Z, homelessness, housing, everything. We don't have enough money.

580
00:27:36,080 --> 00:27:39,040
Speaker 3: You know, this is it, And we're like Oh, we've

581
00:27:39,080 --> 00:27:43,200
Speaker 3: been sitting on built billions this many billions that could

582
00:27:43,240 --> 00:27:46,000
Speaker 3: have gone to solve a million things and we don't.

583
00:27:46,600 --> 00:27:46,840
Speaker 4: Yeah.

584
00:27:47,040 --> 00:27:50,919
Speaker 3: I think the first this being the first Instagram daily

585
00:27:51,960 --> 00:27:56,199
Speaker 3: genocide slaughter is a real uh yeah, It's been a

586
00:27:56,320 --> 00:27:57,720
Speaker 3: real turn of the tides.

587
00:27:58,040 --> 00:28:00,840
Speaker 2: Yeah. Yeah. And there's a lot of reporting that like

588
00:28:01,400 --> 00:28:04,159
Speaker 2: there's like there's gonna be such significant shift from the

589
00:28:04,200 --> 00:28:06,720
Speaker 2: White House. But I think, like many things that we

590
00:28:06,800 --> 00:28:10,320
Speaker 2: hear in politics, we'll believe it. Yeah. Yeah. And I

591
00:28:10,320 --> 00:28:12,600
Speaker 2: think also tonight is the State of the Union address,

592
00:28:13,119 --> 00:28:15,840
Speaker 2: that's a huge moment for Joe Biden to say something

593
00:28:15,920 --> 00:28:18,560
Speaker 2: of consequence, whether or not he's just gonna be like

594
00:28:18,720 --> 00:28:23,159
Speaker 2: fucking Trump, fucking wild y'all. Fuck have you seen what

595
00:28:23,200 --> 00:28:27,480
Speaker 2: he said? He can't even talk. You better, you better

596
00:28:27,520 --> 00:28:30,200
Speaker 2: say something about what's happening in Palestine or else you're

597
00:28:30,200 --> 00:28:33,639
Speaker 2: gonna have a I don't know. It's a big operation.

598
00:28:33,680 --> 00:28:35,320
Speaker 2: This is like one of the most it's a very

599
00:28:35,359 --> 00:28:39,520
Speaker 2: consequential State of the Union, given how support is beginning

600
00:28:39,560 --> 00:28:42,800
Speaker 2: to you know, look like it's you know, not fracturing completely.

601
00:28:42,840 --> 00:28:44,680
Speaker 2: But he has a lot of shit he needs to

602
00:28:44,720 --> 00:28:46,880
Speaker 2: begin to if he wants to write the ship. He

603
00:28:46,960 --> 00:28:49,160
Speaker 2: has a moment to do that tonight. Yeah.

604
00:28:49,320 --> 00:28:52,440
Speaker 1: Meanwhile, Trump, I mean, if you're just paying attention to

605
00:28:52,720 --> 00:28:55,920
Speaker 1: what people who support him are putting out there on

606
00:28:55,960 --> 00:28:59,880
Speaker 1: social media, I mean, this guy's got a coalition. Oh

607
00:29:00,000 --> 00:29:02,800
Speaker 1: I got the coalition building man. As he said, there's

608
00:29:02,840 --> 00:29:08,360
Speaker 1: some pictures where he is just surrounded by black Americans

609
00:29:08,400 --> 00:29:11,200
Speaker 1: who just look like they just couldn't be happier.

610
00:29:11,240 --> 00:29:14,040
Speaker 2: They're so happy. As he said, he's like, I believe

611
00:29:14,280 --> 00:29:17,280
Speaker 2: the black voters will support me because I'm also being

612
00:29:17,480 --> 00:29:21,320
Speaker 2: oppressed and persecuted and going to jail. I was like,

613
00:29:21,480 --> 00:29:22,920
Speaker 2: like the fucking take he had, and he's like an

614
00:29:22,920 --> 00:29:27,360
Speaker 2: also sneakers also that part. But these AI images that

615
00:29:27,400 --> 00:29:29,760
Speaker 2: are coming out, like it started like in the last week,

616
00:29:29,840 --> 00:29:33,560
Speaker 2: this MAGA radio host and his like production crew posted

617
00:29:33,640 --> 00:29:38,680
Speaker 2: some AI image of like Trump with his supposed black supporters.

618
00:29:39,080 --> 00:29:41,239
Speaker 2: There's one group where it looks like he's surrounded by

619
00:29:41,240 --> 00:29:44,080
Speaker 2: a group of black women who are damn sure not

620
00:29:44,240 --> 00:29:45,120
Speaker 2: voting for Trump.

621
00:29:45,520 --> 00:29:45,640
Speaker 3: Right.

622
00:29:45,920 --> 00:29:48,320
Speaker 2: This is all part of like an ongoing narrative that

623
00:29:48,400 --> 00:29:51,560
Speaker 2: conservatives like have been really trying to drum up for

624
00:29:51,960 --> 00:29:53,920
Speaker 2: like since Trump has been office, saying that like, you know,

625
00:29:54,000 --> 00:29:56,920
Speaker 2: black voters are leaving the Democratic Party and are interested

626
00:29:56,960 --> 00:29:59,760
Speaker 2: in the GOP, and they use these kinds of doctored

627
00:29:59,760 --> 00:30:01,520
Speaker 2: and im there is another one with him like on

628
00:30:01,560 --> 00:30:04,680
Speaker 2: a porch with some black guys. There's like a supposed

629
00:30:04,760 --> 00:30:09,840
Speaker 2: black campaign volunteer, MAGA campaign volunteer. And it's wild because,

630
00:30:10,320 --> 00:30:14,160
Speaker 2: like we've said, with AI, you just first look at

631
00:30:14,200 --> 00:30:17,200
Speaker 2: the fingers and then look at the text because it's

632
00:30:17,320 --> 00:30:19,720
Speaker 2: doing it's doing things like right now. In this version

633
00:30:19,760 --> 00:30:21,720
Speaker 2: of like mid Journey and these other AI tools that

634
00:30:22,000 --> 00:30:24,800
Speaker 2: people are using, they can't get fingers right, they can't

635
00:30:24,800 --> 00:30:27,440
Speaker 2: get hands right. And whenever you see text, try and

636
00:30:27,520 --> 00:30:30,719
Speaker 2: read the text because he's usually some garbled bullshit and

637
00:30:30,760 --> 00:30:33,480
Speaker 2: in this one his hands are looking all wrong. There's

638
00:30:33,520 --> 00:30:36,720
Speaker 2: people with like logos that don't make sense. In another

639
00:30:36,840 --> 00:30:39,320
Speaker 2: version where the guy is talking to like a like

640
00:30:39,360 --> 00:30:41,960
Speaker 2: a door to door, like a door knocker for the campaign,

641
00:30:42,160 --> 00:30:45,680
Speaker 2: one dude has three arms. That's right, I miss you

642
00:30:45,720 --> 00:30:48,840
Speaker 2: know what I mean? Yeah, yeah, And like you know,

643
00:30:48,880 --> 00:30:51,280
Speaker 2: there is a grain of truth in terms of like

644
00:30:51,320 --> 00:30:54,200
Speaker 2: where support is going for Biden in terms of black voters,

645
00:30:54,200 --> 00:30:56,840
Speaker 2: because there's been a twenty one percent drop in support

646
00:30:57,520 --> 00:31:00,560
Speaker 2: from black voters and that's mostly young men that are

647
00:31:00,600 --> 00:31:04,400
Speaker 2: driving that trend, and that's exactly who the Trump campaign

648
00:31:04,520 --> 00:31:07,560
Speaker 2: and conservatives want to go after, because like, black women

649
00:31:07,640 --> 00:31:10,880
Speaker 2: are not moving in that direction at all. So there's

650
00:31:10,920 --> 00:31:14,640
Speaker 2: this BBC or investigation or story about like these images

651
00:31:14,640 --> 00:31:17,560
Speaker 2: and what the effect is on black voters, and they

652
00:31:17,560 --> 00:31:20,040
Speaker 2: wanted to see how receptive people were to the imagery,

653
00:31:20,320 --> 00:31:22,760
Speaker 2: and most people who aren't on AI were like, oh cool,

654
00:31:23,160 --> 00:31:25,560
Speaker 2: Oh I didn't know that. I didn't realize like that

655
00:31:25,640 --> 00:31:28,120
Speaker 2: he was embracing the community like that. And then when

656
00:31:28,160 --> 00:31:31,600
Speaker 2: someone told him, hey, this is fake, it's AI, they're like, oh, see,

657
00:31:31,640 --> 00:31:33,720
Speaker 2: that's the thing about social media, Like you can't really

658
00:31:33,720 --> 00:31:35,880
Speaker 2: believe that. But they said, but if I just if

659
00:31:35,880 --> 00:31:38,080
Speaker 2: you didn't tell me that, I really wouldn't have known.

660
00:31:38,600 --> 00:31:41,640
Speaker 2: And this other voter they spoke with actually said, when

661
00:31:41,920 --> 00:31:44,480
Speaker 2: I hear messaging from the Biden campaign about how Trump

662
00:31:44,520 --> 00:31:47,880
Speaker 2: is a threat to democracy, that doesn't really like, it

663
00:31:47,920 --> 00:31:51,240
Speaker 2: doesn't matter because this person was already so disillusioned over

664
00:31:51,240 --> 00:31:55,000
Speaker 2: the electoral process that that hardly moved the needle for them.

665
00:31:55,320 --> 00:31:58,680
Speaker 2: And you know, you think about January sixth, that shit

666
00:31:58,760 --> 00:32:02,080
Speaker 2: happened without the use of generative AI. They had that

667
00:32:02,160 --> 00:32:05,640
Speaker 2: many people ready to fucking storm the Capitol without it,

668
00:32:06,000 --> 00:32:10,000
Speaker 2: and now we're mixing foreign influence campaigns and AI bullshit

669
00:32:10,400 --> 00:32:14,360
Speaker 2: can cause obviously some very very real problems in the

670
00:32:14,400 --> 00:32:18,080
Speaker 2: next eight months. But yeah, it's uh, it's we're beginning

671
00:32:18,080 --> 00:32:19,720
Speaker 2: to see it bubble up more and more.

672
00:32:19,920 --> 00:32:22,440
Speaker 1: It's just wild that they had to revert to AI

673
00:32:22,800 --> 00:32:25,400
Speaker 1: like that they couldn't find enough.

674
00:32:25,760 --> 00:32:28,160
Speaker 2: Well, what's the same five black people that you always

675
00:32:28,160 --> 00:32:31,080
Speaker 2: see at the rallies. There's the one guy who like

676
00:32:31,360 --> 00:32:33,880
Speaker 2: he's got like the perm like in a ponytail kind

677
00:32:33,920 --> 00:32:35,640
Speaker 2: of thing. There's always that dude who has the blacks

678
00:32:35,680 --> 00:32:38,160
Speaker 2: for trial. Like I like, they're almost like characters that

679
00:32:38,240 --> 00:32:40,280
Speaker 2: I recognize now. I'm like, oh yeah, yeah, there's there.

680
00:32:40,320 --> 00:32:41,200
Speaker 2: He's there for another one.

681
00:32:41,640 --> 00:32:43,400
Speaker 1: But I wonder how much of this is just him

682
00:32:43,440 --> 00:32:46,800
Speaker 1: not wanting to be in a picture like with you know,

683
00:32:47,080 --> 00:32:48,880
Speaker 1: cause like there's got to be. He's one of the

684
00:32:48,880 --> 00:32:51,560
Speaker 1: most famous people on earth. Like you can find five

685
00:32:51,800 --> 00:32:55,440
Speaker 1: people who will like be in a picture with him? Sure, Yeah, Like,

686
00:32:55,480 --> 00:32:59,440
Speaker 1: it's wild to me that they're having to use AI to.

687
00:32:59,720 --> 00:33:01,640
Speaker 2: Well, I don't know if it's generate this. I don't

688
00:33:01,640 --> 00:33:03,400
Speaker 2: know if it's like that because it's not coming from

689
00:33:03,400 --> 00:33:07,520
Speaker 2: the campaign, right, It's coming from supporters, shit posters who

690
00:33:07,560 --> 00:33:09,320
Speaker 2: are now just like, oh yeah, I can get in

691
00:33:09,320 --> 00:33:14,800
Speaker 2: the misinformation game myself and maybe affect presidential race because

692
00:33:15,040 --> 00:33:17,600
Speaker 2: it all happens. Like the guy who posted it, this

693
00:33:17,760 --> 00:33:20,000
Speaker 2: DJ he posted on his Facebook and it got a

694
00:33:20,160 --> 00:33:23,560
Speaker 2: ton of engagement. And then when they asked him like, yo,

695
00:33:23,320 --> 00:33:25,240
Speaker 2: what what are you doing, like you know it's fake,

696
00:33:25,240 --> 00:33:26,840
Speaker 2: he was basically like, this's not my problem if they

697
00:33:26,840 --> 00:33:29,960
Speaker 2: think it's real. He said, quote, I'm not claiming it's accurate.

698
00:33:30,120 --> 00:33:31,920
Speaker 2: I'm not saying, hey, look Donald Trump was at this

699
00:33:31,960 --> 00:33:34,200
Speaker 2: party with all these African American voters. Look how much

700
00:33:34,200 --> 00:33:36,720
Speaker 2: they love him. If anybody's voting one way or another

701
00:33:36,760 --> 00:33:39,080
Speaker 2: because of one photo they see on a Facebook page,

702
00:33:39,160 --> 00:33:42,280
Speaker 2: that's a problem with that person, not with the post itself.

703
00:33:43,240 --> 00:33:48,360
Speaker 1: So by creating an image that shows a thing, I'm

704
00:33:48,400 --> 00:33:50,600
Speaker 1: not claiming that that thing happened.

705
00:33:51,200 --> 00:33:55,720
Speaker 2: No. But and if you believe it, that's your it's

706
00:33:55,720 --> 00:33:58,360
Speaker 2: like your problem, man. Yeah, yeah, it's.

707
00:33:58,200 --> 00:34:01,400
Speaker 3: A no account We got no account ability. There's no

708
00:34:01,400 --> 00:34:02,840
Speaker 3: no accountability to anybody.

709
00:34:03,080 --> 00:34:03,240
Speaker 2: No.

710
00:34:03,440 --> 00:34:06,040
Speaker 3: Yeah, AI is scary, but a lot of people do

711
00:34:06,120 --> 00:34:09,040
Speaker 3: vote just somewhat they scroll through social media.

712
00:34:09,640 --> 00:34:12,320
Speaker 2: Oh yeah, because if you're not looking at an image

713
00:34:12,360 --> 00:34:15,600
Speaker 2: like full sized, you you're gonna you'll probably miss the details.

714
00:34:15,680 --> 00:34:17,520
Speaker 2: Or if you're not as online as some people who's

715
00:34:17,600 --> 00:34:20,359
Speaker 2: kind of become savvier at looking at shit and be like, oh,

716
00:34:20,360 --> 00:34:23,640
Speaker 2: this shit looks like AI, then yeah, a casual scroll

717
00:34:23,680 --> 00:34:28,000
Speaker 2: on a fucking timeline or whatever Instagram will feed whatever you. Yeah,

718
00:34:28,080 --> 00:34:30,400
Speaker 2: you'll probably just be like, oh shit, Okay, I guess

719
00:34:30,560 --> 00:34:32,720
Speaker 2: I guess maybe things are moving in that direction.

720
00:34:33,000 --> 00:34:36,880
Speaker 1: Yeah when they Trump is cool. Yeah, you don't have

721
00:34:36,920 --> 00:34:38,399
Speaker 1: to take another look at this guy.

722
00:34:38,560 --> 00:34:45,279
Speaker 2: Yeah, but the sneakers are ass. Has anybody wanted I

723
00:34:45,320 --> 00:34:50,760
Speaker 2: think Fat Joe bought the Trump sneaker that anymore?

724
00:34:50,840 --> 00:34:53,799
Speaker 4: So he has no business being in the sneaker game

725
00:34:53,920 --> 00:34:54,800
Speaker 4: or any game.

726
00:34:55,200 --> 00:34:57,799
Speaker 2: Yeah, he's like we we He was just like I'm

727
00:34:57,840 --> 00:34:59,880
Speaker 2: a collector, you know, and you're like, dude, put that

728
00:35:00,080 --> 00:35:02,600
Speaker 2: shit down. There's not even a shoe worth having, Like

729
00:35:02,600 --> 00:35:04,080
Speaker 2: who gives the book, But.

730
00:35:04,400 --> 00:35:06,200
Speaker 1: If you put them on and like you could suddenly

731
00:35:06,280 --> 00:35:09,800
Speaker 1: dunk in them. But it was like a monkey's paw curse.

732
00:35:10,280 --> 00:35:14,360
Speaker 2: Yeah, like Mike kind of situation, but you had to

733
00:35:14,360 --> 00:35:19,640
Speaker 2: be wearing the most just unacceptable shoe to dump looking shoe.

734
00:35:19,719 --> 00:35:21,360
Speaker 2: I have a feeling though, the shoes are so poorly

735
00:35:21,360 --> 00:35:23,879
Speaker 2: made that you will have some kind of career ending injury.

736
00:35:23,920 --> 00:35:25,880
Speaker 2: Even if it did make you play, like, they'll probably

737
00:35:25,880 --> 00:35:27,719
Speaker 2: just bust apart and then you roll your ankle.

738
00:35:27,719 --> 00:35:30,360
Speaker 1: Like the way Zion Williamson, Like this guy is one

739
00:35:30,400 --> 00:35:33,360
Speaker 1: of the best athletes ever. He cut so hard that

740
00:35:33,440 --> 00:35:36,520
Speaker 1: his shoes just exploded one time. Yeah, Like if I

741
00:35:36,800 --> 00:35:40,680
Speaker 1: just like stopped the way that I stopped, the same.

742
00:35:40,440 --> 00:35:41,120
Speaker 2: Thing would happen.

743
00:35:41,320 --> 00:35:44,040
Speaker 1: Shoe was just like first shadow, five different pieces.

744
00:35:44,320 --> 00:35:45,719
Speaker 4: Don't you think this is my last thing?

745
00:35:45,760 --> 00:35:49,680
Speaker 3: But I'm visualizing January sixth, twenty twenty five, where everybody

746
00:35:49,760 --> 00:35:52,560
Speaker 3: storming the castle is wearing those ugly shoes, and I'm

747
00:35:52,560 --> 00:35:54,840
Speaker 3: like they've been working on their marketing and branding for

748
00:35:54,880 --> 00:35:56,239
Speaker 3: the past four years.

749
00:35:56,719 --> 00:35:57,320
Speaker 4: Don't sleep.

750
00:35:57,760 --> 00:35:59,960
Speaker 2: Yeah exactly, But then but also they kind of got

751
00:36:00,160 --> 00:36:02,560
Speaker 2: superpowers too because of the shoes, Like they're junking like

752
00:36:02,560 --> 00:36:05,520
Speaker 2: fucking super Mario, like we're like over the fucking fence.

753
00:36:05,560 --> 00:36:11,359
Speaker 1: He's like, what, let's take a quick break and we'll

754
00:36:11,360 --> 00:36:26,200
Speaker 1: come right back, and we're back, and let's talk about

755
00:36:26,200 --> 00:36:28,359
Speaker 1: this German man, a sixty two year old man in

756
00:36:28,400 --> 00:36:32,160
Speaker 1: Germany went on a fucking vax spree. This is something

757
00:36:32,200 --> 00:36:35,320
Speaker 1: we've joked about since the vaccine first hit, the idea

758
00:36:35,360 --> 00:36:37,160
Speaker 1: that like we're just trying to get as many of

759
00:36:37,200 --> 00:36:39,920
Speaker 1: them as we could. Yeah, hopefully this is not one

760
00:36:39,960 --> 00:36:42,520
Speaker 1: of our listeners who just like with no sense of humor,

761
00:36:42,560 --> 00:36:44,680
Speaker 1: who took that at face value?

762
00:36:45,160 --> 00:36:47,640
Speaker 2: True Zeit gang, I.

763
00:36:47,719 --> 00:36:51,800
Speaker 1: Love loves the Zeite. He has received two hundred and

764
00:36:51,840 --> 00:36:52,720
Speaker 1: seventeen shots.

765
00:36:52,960 --> 00:36:54,440
Speaker 2: Yeah, started starting.

766
00:36:54,200 --> 00:36:55,439
Speaker 1: Summer of twenty twenty one.

767
00:36:55,800 --> 00:36:58,440
Speaker 2: Yeah, he went from June twenty twenty one to November

768
00:36:58,480 --> 00:37:00,600
Speaker 2: of twenty twenty three. He said he was trying to

769
00:37:00,600 --> 00:37:03,320
Speaker 2: get a shot every four days.

770
00:37:03,760 --> 00:37:05,319
Speaker 4: Wow, what's not tracking him?

771
00:37:05,520 --> 00:37:07,360
Speaker 2: They asked him, They're like, yo, what why did he

772
00:37:07,440 --> 00:37:09,279
Speaker 2: Why did you do it? He said, for personal and

773
00:37:09,320 --> 00:37:13,040
Speaker 2: private reasons. Like it wasn't even like you thought like

774
00:37:13,080 --> 00:37:14,680
Speaker 2: maybe this guy was gonna be like, yo, I'm trying

775
00:37:14,680 --> 00:37:17,560
Speaker 2: to be some fucked up batman villain origin story, but

776
00:37:17,680 --> 00:37:20,000
Speaker 2: like on the right wing, and like the fucking vaccine

777
00:37:20,040 --> 00:37:23,480
Speaker 2: made me like, oh, whoa zombie or whatever? No, and like,

778
00:37:23,719 --> 00:37:27,120
Speaker 2: in fact, because of this story, this, like researchers at

779
00:37:27,160 --> 00:37:30,120
Speaker 2: a university reached out and like he was like providing

780
00:37:30,160 --> 00:37:32,400
Speaker 2: all of these like like samples and doing all this

781
00:37:32,480 --> 00:37:35,000
Speaker 2: and helping them with analysis, and they're like, yeah, like

782
00:37:35,040 --> 00:37:37,279
Speaker 2: I mean it really did nothing like good or bad.

783
00:37:37,320 --> 00:37:40,760
Speaker 2: It's not like he had became super immune to COVID

784
00:37:41,280 --> 00:37:44,080
Speaker 2: or he didn't have any adverse reactions. But like the

785
00:37:44,080 --> 00:37:45,920
Speaker 2: guy did kept saying like he's like, but I never

786
00:37:45,920 --> 00:37:49,080
Speaker 2: got COVID, And but the people are like, we can't

787
00:37:49,400 --> 00:37:51,600
Speaker 2: say this way or that way that that's because you

788
00:37:51,680 --> 00:37:55,239
Speaker 2: got vaccinated too hundred seventeen times. You might just be

789
00:37:55,239 --> 00:37:55,760
Speaker 2: one of those.

790
00:37:55,600 --> 00:37:59,040
Speaker 4: People like when you take too many vitamins.

791
00:37:58,520 --> 00:37:59,759
Speaker 2: Right exactly, Yeah, you.

792
00:37:59,840 --> 00:38:02,640
Speaker 4: Just like uncoordinated Walgreens.

793
00:38:02,760 --> 00:38:06,280
Speaker 2: No, he was buying vials on like on his own.

794
00:38:06,400 --> 00:38:09,239
Speaker 2: He was coping vials of the vaccine to like I

795
00:38:09,239 --> 00:38:12,319
Speaker 2: guess have administered in private. But like, yeah, he did

796
00:38:12,400 --> 00:38:15,279
Speaker 2: get Like it started out because he kind of drew

797
00:38:15,320 --> 00:38:18,520
Speaker 2: the attention in like some kind of fraud case that

798
00:38:18,600 --> 00:38:20,759
Speaker 2: I think was related to this, but then they didn't

799
00:38:20,760 --> 00:38:23,920
Speaker 2: press charges and then they're like, I don't know, I guess,

800
00:38:24,600 --> 00:38:27,319
Speaker 2: I guess do you, bro? But I think it's a

801
00:38:27,320 --> 00:38:29,799
Speaker 2: good story to tell people who might be vaccine hesitating like, Yo,

802
00:38:29,880 --> 00:38:33,799
Speaker 2: this dude got a two hundred and seventeen times Okay.

803
00:38:33,640 --> 00:38:35,920
Speaker 1: Really in that way, he's doing the Lord's work. This

804
00:38:36,000 --> 00:38:38,840
Speaker 1: is yeah, this is just viral marketing for the vaccine.

805
00:38:38,960 --> 00:38:42,839
Speaker 2: Yeah exactly. Yeah. RFK Junior is in shambles right now

806
00:38:43,000 --> 00:38:43,920
Speaker 2: reading the story.

807
00:38:44,200 --> 00:38:48,080
Speaker 4: He's like, fuck, it's like two hundred vaccine doesn't happened.

808
00:38:48,560 --> 00:38:53,719
Speaker 2: Oh just wait, He's like he will suddenly died. That

809
00:38:53,760 --> 00:38:57,080
Speaker 2: will happen. The great Twitter trend that always happens when

810
00:38:57,120 --> 00:38:59,480
Speaker 2: anybody has any kind of issue and then they like

811
00:38:59,560 --> 00:39:02,080
Speaker 2: it was a bac to the vaccine, the vaccine, but yeah, no,

812
00:39:02,120 --> 00:39:05,880
Speaker 2: that's what I got. David Bowie, right he died in

813
00:39:05,880 --> 00:39:10,440
Speaker 2: twenty sixteen, Yeah exactly. Yeah, he was experimenting.

814
00:39:10,080 --> 00:39:12,200
Speaker 4: Pre COVID vaccine, right.

815
00:39:13,680 --> 00:39:16,880
Speaker 2: Yeah. I'm just I do though, I'm really I wish

816
00:39:16,880 --> 00:39:19,320
Speaker 2: we'd get to the bottom of what the the why

817
00:39:19,600 --> 00:39:23,920
Speaker 2: is for this, because that's just it's wild, Like clearly

818
00:39:23,920 --> 00:39:26,360
Speaker 2: something's up with this guy. But I really, like I

819
00:39:26,360 --> 00:39:29,480
Speaker 2: wish he didn't just like keep his response so sort

820
00:39:29,520 --> 00:39:31,840
Speaker 2: of short to being like personal private reasons.

821
00:39:31,920 --> 00:39:34,480
Speaker 1: Yeah, in your business, you know what I mean, between

822
00:39:34,480 --> 00:39:36,200
Speaker 1: me and.

823
00:39:35,440 --> 00:39:37,080
Speaker 4: And God and my and my doctor.

824
00:39:37,239 --> 00:39:41,080
Speaker 3: I think if people were so extremely anti vacs, it

825
00:39:41,120 --> 00:39:44,799
Speaker 3: only makes sense that there's someone extremely pro vaxed, right right,

826
00:39:45,040 --> 00:39:46,360
Speaker 3: just go for.

827
00:39:46,239 --> 00:39:48,879
Speaker 2: It, yeah, like they have to. And maybe the guy

828
00:39:49,000 --> 00:39:50,840
Speaker 2: was like, I'm getting this shit. I'm gonna get a

829
00:39:50,880 --> 00:39:54,200
Speaker 2: vaccine every four But also, like I remember the first

830
00:39:54,200 --> 00:39:56,400
Speaker 2: time I got it, I was like I had to

831
00:39:56,480 --> 00:39:59,200
Speaker 2: lay down for like like a half a day. I

832
00:39:59,280 --> 00:40:01,280
Speaker 2: was like, yeah, I'm watching and like I'm not doing

833
00:40:01,360 --> 00:40:03,920
Speaker 2: ship so may or maybe this guy is like just

834
00:40:04,239 --> 00:40:07,400
Speaker 2: really into feeling a little bit down from having a

835
00:40:08,560 --> 00:40:10,719
Speaker 2: like his jabs or whatever, or maybe he just wasn't

836
00:40:10,760 --> 00:40:12,600
Speaker 2: feeling and he's like I'm trying to feel what everybody

837
00:40:12,600 --> 00:40:13,080
Speaker 2: else is.

838
00:40:13,480 --> 00:40:16,040
Speaker 1: He like got the jab and like immediately starts nodding

839
00:40:16,200 --> 00:40:16,759
Speaker 1: a little bit.

840
00:40:16,800 --> 00:40:22,239
Speaker 2: You're like, what are you good? Yeah? Yeah, I'm sick, bro, Like,

841
00:40:22,360 --> 00:40:24,239
Speaker 2: oh what do you what do you mean? He's like,

842
00:40:24,280 --> 00:40:26,960
Speaker 2: I'm vack sick, Like I gotta get right, I need

843
00:40:27,000 --> 00:40:28,080
Speaker 2: another fucking jab.

844
00:40:28,680 --> 00:40:32,080
Speaker 1: Okay, alright, that Pfizer you got that pisor yeah, all right,

845
00:40:32,400 --> 00:40:36,920
Speaker 1: let's talk all store? Uh yeah, very lazily named.

846
00:40:38,320 --> 00:40:39,000
Speaker 2: Bookstore.

847
00:40:39,600 --> 00:40:42,920
Speaker 1: That the way that they pitched themselves. They're like an

848
00:40:42,920 --> 00:40:47,520
Speaker 1: online bookstore. That offers fair compensation to writers and.

849
00:40:47,640 --> 00:40:49,280
Speaker 2: That's they that's admirable.

850
00:40:49,400 --> 00:40:52,560
Speaker 1: Yeah, yeah, I'm good. I would buy that. That's great.

851
00:40:52,800 --> 00:40:53,320
Speaker 2: Uh huh.

852
00:40:53,400 --> 00:40:58,959
Speaker 1: They are independent, author owned and also completely full of shit.

853
00:40:59,280 --> 00:41:00,480
Speaker 2: No, we found this out.

854
00:41:00,680 --> 00:41:04,400
Speaker 1: RuPaul is launching a Rainbow school bus that will distribute

855
00:41:04,440 --> 00:41:08,880
Speaker 1: banned books to kids, and also partnering with Alstora in

856
00:41:09,480 --> 00:41:13,400
Speaker 1: you know, selling their books, but the launch of Alstora

857
00:41:13,760 --> 00:41:17,760
Speaker 1: has been riddled with controversy. Shoppers noticed that the site,

858
00:41:18,239 --> 00:41:22,160
Speaker 1: which purports to uplift the voices of underrepresented groups including

859
00:41:22,320 --> 00:41:26,719
Speaker 1: LGBTQ plus people, women, and communities of color, features a

860
00:41:26,719 --> 00:41:31,080
Speaker 1: bunch of books by white supremacists and anti LGBTQ plus

861
00:41:31,120 --> 00:41:36,440
Speaker 1: authors like Kirk Cameron and libs of TikTok's Shia Raychik.

862
00:41:36,880 --> 00:41:41,319
Speaker 2: Yeah good, that's interesting. Wow, what happened? How what's going on?

863
00:41:41,920 --> 00:41:47,040
Speaker 2: There's like so many translations of mind komf on there too. Yeah.

864
00:41:47,200 --> 00:41:50,319
Speaker 1: I didn't know there were this many additions, thought I thought.

865
00:41:51,160 --> 00:41:53,160
Speaker 2: I mean, yeah, they want to spread that message, I

866
00:41:53,160 --> 00:41:55,400
Speaker 2: guess far and wide. And it's just wild. How like

867
00:41:55,440 --> 00:41:58,000
Speaker 2: when they're pressed on it, they're like, oh oh oh,

868
00:41:58,320 --> 00:42:01,560
Speaker 2: Like they didn't realize until people started pointing it out,

869
00:42:01,719 --> 00:42:03,840
Speaker 2: and then like it seems it looked like certain titles

870
00:42:03,840 --> 00:42:06,960
Speaker 2: began disappearing, and then they said, oh, we have like

871
00:42:07,000 --> 00:42:08,480
Speaker 2: a flagging system now.

872
00:42:08,440 --> 00:42:12,760
Speaker 1: That is community led. Oh great, great, it's on you guys.

873
00:42:13,040 --> 00:42:13,200
Speaker 2: Yeah.

874
00:42:13,280 --> 00:42:18,239
Speaker 1: Right, with all these companies with social media. With Amazon,

875
00:42:18,760 --> 00:42:20,719
Speaker 1: it's all about what we talked about with the Rod

876
00:42:20,800 --> 00:42:24,279
Speaker 1: Economy episode. It's growth. They're just worried about getting as

877
00:42:24,280 --> 00:42:28,160
Speaker 1: many users as users as they possibly can before they

878
00:42:28,160 --> 00:42:30,920
Speaker 1: have any idea what to do with that number of users.

879
00:42:31,280 --> 00:42:35,440
Speaker 1: And so they you know, if everything, if this is

880
00:42:35,480 --> 00:42:39,839
Speaker 1: basically like a bookstore that is created and driven by

881
00:42:39,880 --> 00:42:42,640
Speaker 1: the community, yeah, it's gonna be a fucking mess in

882
00:42:42,680 --> 00:42:45,200
Speaker 1: the same way that like Facebook is a complete mess.

883
00:42:45,480 --> 00:42:48,560
Speaker 2: Yeah. Well they said that it's like, well, you know,

884
00:42:49,400 --> 00:42:51,480
Speaker 2: when people flag a book, they're like, we want, we're

885
00:42:51,480 --> 00:42:55,120
Speaker 2: not going to remove it, but quote the proceeds from

886
00:42:55,120 --> 00:42:57,600
Speaker 2: flag titles to support the fight against book bands of

887
00:42:57,640 --> 00:43:00,400
Speaker 2: diverse literature. That's where that's where it will go. And

888
00:43:00,440 --> 00:43:03,000
Speaker 2: then like another when they asked again, there was like

889
00:43:03,000 --> 00:43:05,359
Speaker 2: this sort of comment of like we're sort of like

890
00:43:05,640 --> 00:43:08,040
Speaker 2: a library, you know, like where you need to be

891
00:43:08,040 --> 00:43:12,120
Speaker 2: able to understand sort of ideologies of hatred to also educate.

892
00:43:12,160 --> 00:43:14,120
Speaker 2: You're just like, Okay, wow, you're really doing this shit.

893
00:43:14,200 --> 00:43:17,480
Speaker 2: Huh Like that's okay, well, that's that's a nice pr

894
00:43:17,600 --> 00:43:21,600
Speaker 2: spin on it. But when you're launching this bookstore, you know,

895
00:43:21,640 --> 00:43:24,560
Speaker 2: I mean, RuPaul's already revealed themselves to be like a

896
00:43:24,600 --> 00:43:27,120
Speaker 2: big capitalist without really giving a fuck about like what

897
00:43:27,160 --> 00:43:29,919
Speaker 2: it means as long as like they're getting paid. But yeah,

898
00:43:30,040 --> 00:43:32,719
Speaker 2: it's like you said, this is what happens when you're

899
00:43:32,760 --> 00:43:35,840
Speaker 2: just looking at like getting that just scalability. Man, just

900
00:43:35,880 --> 00:43:38,640
Speaker 2: got to scale that shit, got scale, and yeah you

901
00:43:38,640 --> 00:43:40,200
Speaker 2: get a few mind comps in there.

902
00:43:40,640 --> 00:43:43,360
Speaker 1: Yeah, yeah, you can't have you can't have an online

903
00:43:43,360 --> 00:43:50,280
Speaker 1: bookstore without having fourteen editions of Mind comp Child's illustrated version,

904
00:43:50,840 --> 00:43:55,280
Speaker 1: and you know it's it's really a mind boggling array

905
00:43:55,480 --> 00:43:58,600
Speaker 1: of Mind's comp Yeah, but yeah, I mean, booksellers have

906
00:43:58,640 --> 00:44:02,040
Speaker 1: pointed out that the reason why All Store has all

907
00:44:02,080 --> 00:44:05,400
Speaker 1: these terrible books is because they're a drop shaping operation

908
00:44:05,760 --> 00:44:09,240
Speaker 1: that simply ships books from a major book supplier, basically

909
00:44:09,280 --> 00:44:12,520
Speaker 1: the same method that every bookstore uses to buy their

910
00:44:12,520 --> 00:44:16,040
Speaker 1: books with no physical store or content curat.

911
00:44:16,480 --> 00:44:19,960
Speaker 2: Ah. Okay, well yeah, get paid, get that check, get

912
00:44:20,000 --> 00:44:23,000
Speaker 2: that check, just trying to get that check and get out.

913
00:44:23,440 --> 00:44:26,800
Speaker 1: Yeah all right, Well, Emily Van Dyke, what a pleasure

914
00:44:26,880 --> 00:44:31,160
Speaker 1: having you on the Daily Zeitgeist. Where can people find you?

915
00:44:31,360 --> 00:44:33,960
Speaker 1: Follow you, hear you all that good stuff.

916
00:44:34,239 --> 00:44:36,319
Speaker 3: Thank you so much for having me on. People can

917
00:44:36,360 --> 00:44:39,640
Speaker 3: find my album Feeling Myself on anywhere they stream music

918
00:44:40,040 --> 00:44:45,120
Speaker 3: Apple Music, Spotify, download on band camp. The label is

919
00:44:45,200 --> 00:44:48,680
Speaker 3: Blonde Medicine. You can follow me on Instagram at Emily

920
00:44:48,800 --> 00:44:51,319
Speaker 3: Van Dyke And yeah.

921
00:44:51,080 --> 00:44:53,680
Speaker 4: That's it. I'm really excited about this album.

922
00:44:53,719 --> 00:44:55,920
Speaker 3: I also have like a little new YouTube clip out

923
00:44:55,960 --> 00:44:57,800
Speaker 3: if you want to see some video.

924
00:44:57,880 --> 00:44:59,640
Speaker 4: But yeah, thank you guys so much for having me

925
00:44:59,640 --> 00:45:00,640
Speaker 4: on a really I appreciate it.

926
00:45:00,840 --> 00:45:01,920
Speaker 2: Oh no, it's great having you.

927
00:45:02,440 --> 00:45:04,960
Speaker 1: Is there a work of media that you've been enjoying

928
00:45:05,000 --> 00:45:07,120
Speaker 1: besides of course your album and special.

929
00:45:07,880 --> 00:45:11,439
Speaker 3: I'm really liking Taylor Tomlinson's news special. I was able

930
00:45:11,480 --> 00:45:13,640
Speaker 3: to catch her in Oakland when she was working on it,

931
00:45:13,719 --> 00:45:17,120
Speaker 3: and I'm really just admiring her work ethic and the

932
00:45:17,160 --> 00:45:18,600
Speaker 3: amount of content she's put out.

933
00:45:18,719 --> 00:45:21,440
Speaker 4: And yeah, I'm just following her.

934
00:45:21,400 --> 00:45:25,000
Speaker 3: Closely, Like, Okay, Taylor, I see you out there working

935
00:45:25,120 --> 00:45:28,680
Speaker 3: and doing doing doing a lot, So yeah, she had

936
00:45:28,760 --> 00:45:32,080
Speaker 3: me laugh at a lot in this last Netflix Netflix special.

937
00:45:32,520 --> 00:45:35,239
Speaker 1: We see you all right, Miles, Where can people find you?

938
00:45:35,280 --> 00:45:37,080
Speaker 1: What is the work of media you've been enjoying?

939
00:45:37,239 --> 00:45:39,759
Speaker 2: Yeah, find me at Miles of Gray wherever they got

940
00:45:39,800 --> 00:45:42,520
Speaker 2: at Symbols. If you like basketball, and I know you do,

941
00:45:43,280 --> 00:45:45,719
Speaker 2: check Jack and I out on Miles and Jackot Mad Boosties.

942
00:45:45,719 --> 00:45:48,040
Speaker 2: That's her NBA podcast. If you like ninety Day Fiance,

943
00:45:48,160 --> 00:45:49,920
Speaker 2: I talk about that shit too on four to twenty

944
00:45:49,960 --> 00:45:52,799
Speaker 2: Day Fiance. That's the other podcast. And I'm also on

945
00:45:53,440 --> 00:45:55,640
Speaker 2: not this week's Behind the Bastards, but the last two

946
00:45:55,640 --> 00:45:59,920
Speaker 2: episodes Behind the Bastards with Robert Evans and Sophie Lickterman.

947
00:46:00,360 --> 00:46:03,840
Speaker 2: Some tweets that I like, There's just one that I

948
00:46:03,840 --> 00:46:06,399
Speaker 2: thought was really good. Oh yeah, this is from how

949
00:46:06,600 --> 00:46:11,680
Speaker 2: Underscore Do Underscore? I underscore pdf at how do iPDF?

950
00:46:12,600 --> 00:46:15,680
Speaker 2: It said, fitted sheet being taken out of the dryer,

951
00:46:15,840 --> 00:46:19,120
Speaker 2: Like I have a secret, and a secret is your

952
00:46:19,120 --> 00:46:22,600
Speaker 2: wet laundry wound up in it? Because I always A'm like,

953
00:46:22,640 --> 00:46:24,600
Speaker 2: how the fuck does this shit happen? Every time? It's

954
00:46:24,640 --> 00:46:25,440
Speaker 2: always in the corner of.

955
00:46:25,400 --> 00:46:28,600
Speaker 1: The fitted sheet, always just a wet bought like that

956
00:46:28,680 --> 00:46:31,160
Speaker 1: thing when you get it out is a weapon. Oh yeah,

957
00:46:31,200 --> 00:46:34,960
Speaker 1: like that all your wet laundry in the like half

958
00:46:35,160 --> 00:46:39,439
Speaker 1: semi dry fitted sheet and it's just yeah, crowded in there.

959
00:46:39,680 --> 00:46:40,120
Speaker 2: Ye yeah.

960
00:46:40,400 --> 00:46:45,200
Speaker 1: You can find me on Twitter at Jack Underscore O'Brien tweet.

961
00:46:45,200 --> 00:46:48,680
Speaker 1: I've been enjoying I've been enjoying those clips from the

962
00:46:48,719 --> 00:46:53,120
Speaker 1: Surveys Cristyle marketing campaign from Star Wars. I don't know

963
00:46:53,120 --> 00:46:57,480
Speaker 1: if you guys saw those. Basically when Star Wars debuted

964
00:46:57,960 --> 00:47:01,720
Speaker 1: in the eighties, I think it was this marketing team

965
00:47:01,880 --> 00:47:08,200
Speaker 1: in Peru, I believe, basically cut little moments of product

966
00:47:08,239 --> 00:47:12,360
Speaker 1: placement into Star Wars. So like they'll cut open the

967
00:47:12,400 --> 00:47:16,719
Speaker 1: tonton and then like four ice cold Surveys Cristals will

968
00:47:16,800 --> 00:47:19,880
Speaker 1: like come out of the bottom of the tonton like

969
00:47:20,120 --> 00:47:21,320
Speaker 1: it's crazy.

970
00:47:21,440 --> 00:47:22,919
Speaker 2: All right, you got to shoo you kid that one.

971
00:47:23,239 --> 00:47:27,480
Speaker 1: Yeah, but the thick husband and father tweeted Servesa Crystal

972
00:47:27,600 --> 00:47:30,160
Speaker 1: marketing team putting ads in Star Wars movies for the

973
00:47:30,200 --> 00:47:33,360
Speaker 1: first time, and it's the clip from Back to the

974
00:47:33,360 --> 00:47:35,719
Speaker 1: Future where he's like, I guess you guys aren't ready

975
00:47:35,719 --> 00:47:37,960
Speaker 1: for that yet, but your kids are gonna love.

976
00:47:37,760 --> 00:47:40,600
Speaker 2: It, because really being enjoyed.

977
00:47:40,719 --> 00:47:43,520
Speaker 1: Also, mister Carter, just why in the fuck are Cereal

978
00:47:43,560 --> 00:47:44,919
Speaker 1: bags not zip lock yet?

979
00:47:45,280 --> 00:47:49,000
Speaker 2: Thank you, Thank you, mister Carter. Please, what is happening?

980
00:47:49,480 --> 00:47:50,359
Speaker 1: Where are we at here?

981
00:47:50,719 --> 00:47:51,120
Speaker 2: All right?

982
00:47:51,160 --> 00:47:54,160
Speaker 1: You can find me on Twitter at Jack Underscore O'Brien.

983
00:47:54,200 --> 00:47:56,440
Speaker 1: You can find us on Twitter at Daily Zeikeeist. We're

984
00:47:56,440 --> 00:47:59,400
Speaker 1: at ze Daily Zeikeeist on Instagram. We have a Facebook

985
00:47:59,440 --> 00:48:01,960
Speaker 1: fan page and website Daily zeik guys dot com, where

986
00:48:01,960 --> 00:48:05,200
Speaker 1: we post our episodes and our footnote when we link

987
00:48:05,239 --> 00:48:07,480
Speaker 1: off to the information that we talked about today's episode,

988
00:48:07,520 --> 00:48:11,120
Speaker 1: as well as a song that we think you might enjoy. Miles,

989
00:48:11,120 --> 00:48:12,680
Speaker 1: what song do you think people might enjoy?

990
00:48:12,840 --> 00:48:16,560
Speaker 2: You already know I was fucking slapping this one. This

991
00:48:16,600 --> 00:48:20,760
Speaker 2: is this is the rapper co ko hh. But on

992
00:48:20,760 --> 00:48:24,520
Speaker 2: on Spotify you'll probably search Yuki Chiba Chi b A

993
00:48:25,400 --> 00:48:28,759
Speaker 2: and this track is called Team Tomo da Chi and

994
00:48:28,800 --> 00:48:30,920
Speaker 2: it's just this Japanese rap song that's kind of blown

995
00:48:31,000 --> 00:48:32,520
Speaker 2: up on YouTube, and I was like, yeah, this shit

996
00:48:32,680 --> 00:48:36,160
Speaker 2: fucking goes hard. So I hope everybody's scheem Tomo dachi,

997
00:48:36,200 --> 00:48:39,160
Speaker 2: which means Tomi means friends. Let's be team friends, okay,

998
00:48:39,320 --> 00:48:42,200
Speaker 2: team friendly out here. Yeah, yeah, I love that. Yeah,

999
00:48:42,239 --> 00:48:42,719
Speaker 2: it's like that.

1000
00:48:42,840 --> 00:48:46,279
Speaker 1: There's even some choreographed dance moves in this.

1001
00:48:46,560 --> 00:48:48,360
Speaker 2: Video is dope. It just kind of reminds you of

1002
00:48:48,400 --> 00:48:50,920
Speaker 2: like like a fun, sort of like Everybody on the

1003
00:48:50,920 --> 00:48:53,360
Speaker 2: Block kind of music video. Yeah.

1004
00:48:53,440 --> 00:48:55,480
Speaker 1: Anyways, we will link off to that in the footnotes.

1005
00:48:55,600 --> 00:48:57,960
Speaker 1: The Daily Zeis Guys is a production of iHeartRadio. For

1006
00:48:58,040 --> 00:49:00,319
Speaker 1: more podcasts from My Heart Radio, visit the iHeart Radio

1007
00:49:00,320 --> 00:49:03,120
Speaker 1: w ap Apple podcast. Wherever you listen to your favorite shows,

1008
00:49:03,160 --> 00:49:05,280
Speaker 1: that is going to do it for us this morning,

1009
00:49:05,680 --> 00:49:08,640
Speaker 1: back this afternoon to tell you what is trending and

1010
00:49:08,920 --> 00:49:11,960
Speaker 1: we'll talk to you all then bye bye to