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Speaker 1: Dude, I met. I met Blake's wife. She's real, she's

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Speaker 1: a real person. Yeah, what we had Blake didn't meet

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Speaker 1: her majesty. He met a woman I'm I paid to

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Speaker 1: play the role of her majesty.

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Speaker 2: She's goods. Yeah, well, the n y U, the students,

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Speaker 2: they are good actors, they're great. Can we talk about

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Speaker 2: Tish's Tish?

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Speaker 3: I called her.

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Speaker 1: And this is my wife, Tish of performing Arts.

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Speaker 3: That's weird, do you do you don't?

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Speaker 2: You don't say her majesty's name on the on the show, right, Miles, Okay,

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Speaker 2: that's good.

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Speaker 1: Just Tish, just I call her Tish now she's if anything,

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Speaker 1: she'll be known as Tish from the dish was great.

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Speaker 2: We did get dinner, drinks, dinner and drinks with Miles,

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Speaker 2: and then we had had some sticks and a chicken meatball.

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Speaker 2: I don't know if that makes a dinner. But no,

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Speaker 2: I shouldn't. I shouldn't tell this story. Never mind, I shouldn't.

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Speaker 2: I shouldn't tell it. No, it was just that, by

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Speaker 2: the way, I edit this out obviously, and it was

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Speaker 2: the cold open. But Miles, by the way, we had

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Speaker 2: a great time. It was great meeting Tish and thank

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Speaker 2: you for hanging out. But Miles was doing this thing

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Speaker 2: where he was yelling. So he would go to order

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Speaker 2: a drink and he'd yell top shelf, top shelf, over

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Speaker 2: and over again, and then switch it around his mouth

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Speaker 2: and spit it on the ground, and then yelled top shelf,

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Speaker 2: top shelf. And when the check came, I thought we

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Speaker 2: were going to split it. And he grabbed my wrist

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Speaker 2: and I said, you're hurting me, and he goes, I pay,

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Speaker 2: you don't have what I have. And then and then

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Speaker 2: and I said stay in your lane. He said staying,

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Speaker 2: stay in your lane. And you said your home's mine now.

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Speaker 2: And then you daddy. You said your daddy. And then

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Speaker 2: you didn't tip. You said I don't have to. When

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Speaker 2: I asked you about it.

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Speaker 3: You had to sneak back and do the tip. And

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Speaker 3: he got really mad.

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Speaker 1: And I came back and said, oh, that woman didn't

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Speaker 1: pay you, Julia.

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Speaker 3: That's weird.

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Speaker 1: Wow, she must be real cheap because I thought the

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Speaker 1: service was great. Anyway, I gotta go, baby, I gotta

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Speaker 1: head out. You did stroll out barefoot, you left your.

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Speaker 3: Shoes, and I'm glad this is all being cut out.

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Speaker 3: I ran out of my Isralia revealing too much about

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Speaker 3: what Miles is actually like off Mike. Yeah, Hello the Internet,

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Speaker 3: and welcome to season three sixty one, episode two of

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Speaker 3: Turny's I Got It. Ye Oh my god. Sorry, you're

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Speaker 3: in the big city. It's coming over me. It came

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Speaker 3: over me. He's a wild man in the big jungle. Hey, Miles.

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Speaker 3: First of all, I just want to say, welcome to

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Speaker 3: the jungle.

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Speaker 4: Wow.

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Speaker 1: Yeah, I've get to see the funding games. Yeah, I

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Speaker 1: feel like you're lying about that. You just have you

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Speaker 1: hear you can throw this aluminum can into this recycling bit.

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Speaker 1: Miles did walk into the studio. Miles and I are

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Speaker 1: both in New York City.

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Speaker 3: He walked into the studio with a little piece of

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Speaker 3: hay in the corner of his mouth, just fresh off

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Speaker 3: the bus YEP with my bendlestick.

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Speaker 1: Right, yeah, I said, you fellas nowhere the recorded.

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Speaker 3: This is a production of iHeartRadio. We are America's only

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Speaker 3: undecided podcast. We just don't know, although I'll tell you

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Speaker 3: that McDonald's stunt cleared a couple of things up for me. Yeah,

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Speaker 3: I still want to know. I tell you what.

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Speaker 1: Arnold Palmer's penis was big or small? They said it

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Speaker 1: was more specific. Yeah, if you want my vote, Donald,

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Speaker 1: come with the details, come with the tea.

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Speaker 3: Anyways, this is a podcast where we take a deep

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Speaker 3: dive into America's share consciousness. That it's Wednesday, October twenty third,

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Speaker 3: twenty twenty four. Where does that put us?

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Speaker 4: Oh, it's National Horror Movie Day, Our National Boston Boston

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Speaker 4: Cream Pie Day. Pow. It's swallows depart from Oh, the

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Speaker 4: the swallows from of Capistrano.

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Speaker 1: They depart today. It's also a National mold Day. That's

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Speaker 1: Alva Godro's number. I am not about math, so I

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Speaker 1: don't know about that. National TV Talk Show host Day

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Speaker 1: will never be those jack iPod Day. I used to

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Speaker 1: have those. And Medical Assistants Recognition Day, shout out medical

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Speaker 1: assistants for which our medical professionals would not be assisted properly.

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Speaker 3: Yeah, really good point, Miles. Yeah, my name's Jack O'Brien. Aka,

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Speaker 3: Hey little girl, it's election Day. Go work at the polls,

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Speaker 3: cause it'll look good on your resume. Free pizza. That

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Speaker 3: one courtesy of brad Am on the Discord, based on

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Speaker 3: the fact that, in the face of the rights plan

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Speaker 3: to send armed militias to the polls, the bureaucrats working

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Speaker 3: for the bureaucracy that we're all like voting to protect

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Speaker 3: in this election have decided to use child labor, child

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Speaker 3: volunteer high school students being paid with pizza in some cases.

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Speaker 3: Shout out to brad Am for letting me do a

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Speaker 3: little Springsteen the Boss, but I just found out about him. Yeah,

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Speaker 3: my Miles is in New Jersey this weekend. They like

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Speaker 3: this guy. Hey, if you're gonna work for somebody. Anyways,

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Speaker 3: I'm thrilled to be joined as always by my co host,

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Speaker 3: mister Miles.

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Speaker 1: Great, Miles Great, AKA the trees are alive.

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Speaker 4: And fish are artistic.

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Speaker 1: Shout out to Halsion Salad because yeah, the birds they talk,

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Speaker 1: they're communicating. The birds are doing works of art. Some

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Speaker 1: might say sacred geometry.

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Speaker 3: Thank you. Yeah, and that is this podcast cann mostly

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Speaker 3: be about sacred geometry, because we are, of course thrilled

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Speaker 3: to be joined in our third seat by a brilliant comedian, writer,

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Speaker 3: actor geometrician.

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Speaker 4: Mm hmm, what the what do you call it?

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Speaker 3: I guess it's like not a profession.

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Speaker 1: What is it? I mean, it's is it like terryology?

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Speaker 3: Yeah? Yeah, okay, Anyways, he's brought you comedy albums such

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Speaker 3: as the Blake album Stuffed Boy, Laugh from the Pandemic.

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Speaker 3: His newest special, Daddy Long Legs disgusting, very funny special,

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Speaker 3: just a gross name, which you can go watch right

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Speaker 3: now on YouTube. Telling TDZ sent you in the comments,

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Speaker 3: but like, be be nice, it'd be nice about it.

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Speaker 3: He's the coiner of the disgusting phrase plumpers to describe

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Speaker 3: his legs. Yes, his juicy philly above the knees, steaks.

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Speaker 3: Please welcome, the hilarious, the chaotic, the riding a recumbent

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Speaker 3: bicycle in short shorts. It's Blake wex Line.

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Speaker 4: This is Blake Wexler, the King of New York.

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Speaker 2: Aka Hi, Hi mister Jackie O'Brien, new lord of the

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Speaker 2: discord for the Daily Zude Guy filling the void as

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Speaker 2: Miles's family grows in size, singing plumpers is the name

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Speaker 2: of my thighs?

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Speaker 4: Oh yeah, plumpers is the name.

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Speaker 3: Of my thighs.

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Speaker 2: That was from Fashionable Dinosaur from I think I guess

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Speaker 2: when Miles took us sabbatical, right, yeah, wow, maybe a

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Speaker 2: year ago, Yeah, February of twenty twenty three. Okay, yeah,

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Speaker 2: that was people know that of my my.

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Speaker 3: Birth era.

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Speaker 4: When he came into consciousness. Blake, you're so good seeing

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Speaker 4: you in person.

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Speaker 3: Is the name of your thighs?

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Speaker 2: Yeah, no, fashionable dinosaur. I don't know if I said that,

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Speaker 2: but yeah, no, I we we talked about in the opening.

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Speaker 2: But Miles and I did see each other in person,

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Speaker 2: and I got to meet her majesty. He got to

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Speaker 2: meet my magin's my magic imagined, my magine, my imaginary. Yeah,

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Speaker 2: we had Yeah, it was it was fun. It was

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Speaker 2: really really nice and easy, you know, like we had

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Speaker 2: never I had never met we had never met each

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Speaker 2: other's spouses before, and yeah, it was just an easy

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Speaker 2: fun Yeah, really funny.

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Speaker 1: I feel like we could be going on cruises together,

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Speaker 1: you know what I mean.

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Speaker 2: That's the next step. Yeah, yeah, and yeah, I would

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Speaker 2: love Where would you want to go? I want a

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Speaker 2: cold weather cruise if that's okay with you.

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Speaker 3: Yeah, that's fine. Fine, that's a cold weather King. Yeah

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Speaker 3: we'll go. I'll just I won't go, but I'll tell

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Speaker 3: you facts about Miles. You know, the cold weather King.

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Speaker 3: That's a great pick for him, Blake, you could do Scandinavia. Yeah,

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Speaker 3: I like this for you too, But then I don't

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Speaker 3: get invited to the meet up, that's cool. And then

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Speaker 3: when there's a chance for us to hang out in person,

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Speaker 3: because we are recording this in New York City, Blake

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Speaker 3: is just just across the river, Blake ditches out. Well,

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Speaker 3: there's a chance for all three of us to get Yeah,

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Speaker 3: that was that was the person fucked up. I asked.

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Speaker 1: I looked you in your eyes and said, will you

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Speaker 1: be here in person? I said, oh my god, I

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Speaker 1: love to.

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Speaker 4: And then I get it. Well, you know, I don't

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Speaker 4: know if I can do this.

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Speaker 2: Oh yeah, Well when you ask me things when I'm drunk,

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Speaker 2: I don't often follow up, so I'm the same.

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Speaker 4: I'm making plans for like, oh man, we should get

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Speaker 4: breakfast tomorrow, so I'm not at breakfast.

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Speaker 2: You know, I would love to. I'm glad we saw

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Speaker 2: each other, Jack. I think the reason why I didn't

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Speaker 2: go over there is because you and I have this

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Speaker 2: almost an incredible history at this point of being in

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Speaker 2: the same area and not seeing one another, so almost

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Speaker 2: like predestined.

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Speaker 3: We've done an ocean city, We've done it in Florida.

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Speaker 3: We've done it in Florida, and now two places my

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Speaker 3: parents are. Yeah, so where next? I don't know we should. Yeah,

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Speaker 3: well we'll pick a cruise to go on and not

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Speaker 3: see each other. Just get your ship's pass. I'll be

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Speaker 3: raft at this point, but you be whatever. The opposite

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Speaker 3: of AFT is star Wars my friend. Yeah, but anyways,

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Speaker 3: it's true, right what I told you, Blake, Miles hits

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Speaker 3: different in person.

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Speaker 2: Right, I was hits different because had really Yeah, they

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Speaker 2: make contact. That's it's It's funny. I ended up getting

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Speaker 2: like the sniffles a little bit, and I had to

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Speaker 2: take a Clareton because he has that dog in him.

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Speaker 3: Like you told me before, I said, watch out for

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Speaker 3: that dog allergy. This guy's got the hell.

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Speaker 4: It's actually terrible Dandrus. Yeah, I wish it was the

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Speaker 4: dog in me. It's scalp in me.

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Speaker 3: All right, Blake, we're gonna get to know you a

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Speaker 3: little bit better in a moment. First, we're gonna tell

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Speaker 3: listeners a couple of things we're talking about today. The

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Speaker 3: two winners of the Musk Millions bribe athon apparently already

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Speaker 3: voted mm, so I don't know how well that works

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Speaker 3: for him. Theoretically, we're gonna talk about the two heroes

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Speaker 3: of the right, the two anti abortion guys that heckled

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Speaker 3: Kamala Harris and are like and I lived to tell

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Speaker 3: the tale. They're gonna like, have one of those survived.

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Speaker 3: I survived a Kamala.

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Speaker 4: Rally by by screaming Yeah.

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Speaker 3: We'll check in with the Polar Coaster and also the

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Speaker 3: polymarket election betting markets. I don't know if people are

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Speaker 3: up on these, but they're all saying Trump's gonna win

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Speaker 3: in a landslide. It's all very depressing out there. By

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Speaker 3: the way, if you like pay attention to polls, it's uh,

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Speaker 3: don't need them, don't need them. All I need is

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Speaker 3: James Carvel telling me. He say he's still so Kamala

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Speaker 3: swamp cat and she gonna catch that bog rat.

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Speaker 4: Oh.

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Speaker 3: Every time you got swamp cat with a bog rat,

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Speaker 3: you see you got trouble. Yeah. Yeah. Anyways, Uh so

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Speaker 3: we'll talk about just all the people who are watching

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Speaker 3: the election worrying. I am worrying. I'll tell you what

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Speaker 3: is keeping me sane? All that plenty more. But first,

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Speaker 3: Blake Wexler, we do like to ask our guests, and

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Speaker 3: you know this about us, what is something from your

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Speaker 3: search history that is revealing.

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Speaker 2: About who you are on Saturday, the day as it

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Speaker 2: will be forever known going forward. The day after I

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Speaker 2: saw Miles. Oh yeah, I plus one D Day plus one,

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Speaker 2: and they don't give plus ones for D Day. I

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Speaker 2: noticed whenever I go to Normandy, they just make you

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Speaker 2: go solo. But I had to google Patch bike Tube

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Speaker 2: because I fucked up a day. I fucked up my

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Speaker 2: Saturday in a way that I'm like, I don't know

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Speaker 2: if I should be allowed to make a decision ever again.

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Speaker 2: And I drove to New Brunswick, which is like forty

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Speaker 2: five minutes away, which is a shithole, but they have

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Speaker 2: a great beautiful bike path that goes along like the

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Speaker 2: Raritan Delaware River. So drove my bike out there. Didn't

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Speaker 2: realize a Rutgers game was going on. Home game, so

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Speaker 2: I was driving into football traffic like right when the

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Speaker 2: game was right before. So already fucked myself. And then

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Speaker 2: I get to the I couldn't park. I finally park

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Speaker 2: right across. It was right next to the stadium. And

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Speaker 2: then two like three miles into the ride, I hit

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Speaker 2: a rock at a speed that was crazy and just

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Speaker 2: blew my just blew up my front tire and I'm like, oh,

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Speaker 2: I don't know how to fix this, and I was

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Speaker 2: like trying to get an uber to take me back

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Speaker 2: to my car, but there were search prices because yeah,

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Speaker 2: so I was getting so I was cheap.

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Speaker 3: Bankrupted yourself taking a bike ride?

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Speaker 2: Yeah, I bankrupted myself. So I ended up just sitting

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Speaker 2: and looking up how to change a tire and then

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Speaker 2: I patched it. I figured it out after like an hour,

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Speaker 2: and then it like popped again. So I had to

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Speaker 2: walk three miles and like my tiny little outfit all

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Speaker 2: the way back to my car through this weird part bike.

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Speaker 3: Yeah, I have on social media.

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Speaker 2: Yeah, yeah it was, and it was real. It was

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Speaker 2: one of the more revealing ones.

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Speaker 1: That I and you were wearing, one that says Saint

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Speaker 1: John's on it, so you were really getting smoked to.

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Speaker 2: I was really Yeah, I was wearing a Chris Mullen

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Speaker 2: jersey and a Saint John's bottoms saying on the left

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Speaker 2: ask cheek John's j w n R Saint Jomes.

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Speaker 4: Wait, did you have a so you had like a

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Speaker 4: patch kit on you?

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Speaker 2: I had patches and then I had to like, it's

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Speaker 2: so inside the tire, there's a tube and a tire,

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Speaker 2: so the tube is what you inflate if you have

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Speaker 2: that type of tire. It's like a little like a

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Speaker 2: mini tire. I guess, yeah, and that's what had the

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Speaker 2: holes in it. So I covered the holes and I

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Speaker 2: was able to be like, oh, I fixed it, and

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Speaker 2: then I didn't. I apparently I hit that rock so

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Speaker 2: hard it was not fixed. Yeah, it was.

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Speaker 3: Thought that was only children's bikes, but that's okay if

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Speaker 3: you ride children's Wow, I.

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Speaker 2: Feel my bike has three wheels on it. I'm sorry,

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Speaker 2: tricycle Yeah, yeah.

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Speaker 3: But it does feel like they need to start making

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Speaker 3: bikes specifically to deal with the speed at which you

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Speaker 3: ride that thing with those plumpers, like it would it

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Speaker 3: be safe to say that, like, bike companies should probably

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Speaker 3: just start like change their approach when it comes to

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Speaker 3: how you ride that thing. Thank you.

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Speaker 2: So I've reached out to Ford every day for the

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Speaker 2: past three years trying to get them to make me

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Speaker 2: a bike, a Ford bicycle, and they won't do it.

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Speaker 2: So Chevy, Yeah, and it has to be American made.

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Speaker 2: If it's not, I'm not going to fucking ride it.

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Speaker 3: You know this.

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Speaker 2: So Mazda ear muffs the other ones I only I

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Speaker 2: can only name Mazda as an international cars so hummer up.

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Speaker 1: Yeah, and I won't ask what kind of car you

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Speaker 1: drive in your personal life because I don't want to

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Speaker 1: ruin the brand image.

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Speaker 3: But yeah, no, no, no, no, no it is it's a

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Speaker 3: Super U Bronco.

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Speaker 4: Yeah, it's a super Yeah, super Silverado, the.

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Speaker 3: Silver Blake. What's something he thinks? Underrated neighbors? I underrated neighbors.

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Speaker 4: I always saw them as an adversary, you know, as like,

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Speaker 4: oh they're loud, annoying, dirty, ugly. But I now have

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Speaker 4: good looking, helpful neighbors. Wow, And it's changed everything. Like

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Speaker 4: if you have a package come in, you can send

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Speaker 4: them a text. You know, Hey, this is gonna get

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Speaker 4: stolen in point five seconds, can you please bring you inside?

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Speaker 4: And you know, if you leave our dog he starts like,

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Speaker 4: oh hey, your dog's freaking out or whatever, Like they

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Speaker 4: can do that. It's a fantastic. It is a huge

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Speaker 4: stress reliever. So it's if you have the right neighbors,

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Speaker 4: it really does make your life a whole a whole

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Speaker 4: lot easier.

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Speaker 3: Blake, did you steal? You're underrated from the seth Rogan

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Speaker 3: film neighbors.

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Speaker 2: So not just the underrated, my whole vibe so I have.

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Speaker 3: Liked Neighbors and I've really come around on them. At

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Speaker 3: first I hated them, but now I love And then

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Speaker 3: I watch I'm assuming an R rated movie.

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Speaker 2: I watch his PG Seth Rogan's first PG rated movie,

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Speaker 2: and I loved it.

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Speaker 3: Neighbors. Neighbors is good. What's what's something you think is overrated? Oh?

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Speaker 2: This, I guess this kind of has to do with

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Speaker 2: what I was just talking about, Like getting things delivered

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Speaker 2: all the time, sometimes it's better just to pick it

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Speaker 2: up in the store. Yeah, there's packaging waste obviously, which is,

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Speaker 2: let's be honest, not something I'm gonna do anything about,

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Speaker 2: but like you know, packages get stolen. And but also

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Speaker 2: I try to pharmacy. Like so there's this pharmacy called

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Speaker 2: Capsule where it's like a digital only pharm It's a

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Speaker 2: digital pharmacy that like delivers to you. It's like in

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Speaker 2: New York and they're like, oh, we'll drop off your

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Speaker 2: medication between noon and four, and someone needs the sign

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Speaker 2: for it, which I guess I kind of get. But

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Speaker 2: I can't just be around from New to New to four.

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Speaker 2: And also I need like it's not like, oh I'm

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Speaker 2: going to lose my mind if I don't have it

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Speaker 2: or or my you know, my plumps.

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Speaker 3: Are going to fall off.

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Speaker 2: But it's something I do need, so it's yeah, if

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Speaker 2: you just go pick it up. I don't think that

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Speaker 2: needs to be for someone now if you have, you know,

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Speaker 2: mobility issues, I would imagine having medicine delivered is fantastic,

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Speaker 2: but not if you're a fucking guy about town and

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Speaker 2: your bike, if you're three wheeler and a single it.

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Speaker 1: I think just I'm just generally like I think I

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Speaker 1: miss going to the store. There was an excitement about

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Speaker 1: being like, oh, I'm going to go do this thing,

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Speaker 1: and like online shopping is like ruined that to the

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Speaker 1: point where like I just don't even care about it.

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Speaker 1: I just like to see things in person a lot

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Speaker 1: of the time. So hm, I'm old, you know that's

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Speaker 1: how I look at it, big story, and I don't

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Speaker 1: have like I don't like doing that thing like Her

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Speaker 1: Majesty will do that ship where she's like, oh, I

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Speaker 1: don't know if this shoe is gonna fit, so I'm

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Speaker 1: gonna I'll order three sizes.

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Speaker 4: Of it and then return it and then just get

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Speaker 4: my money back. And I'm like, oh fuck that, I'm

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Speaker 4: not gonna charge. I'm gonna do it three times. No no, no, no,

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Speaker 4: no no.

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Speaker 3: I'll go to the store. That's me. Yeah, shoe shopping

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Speaker 3: and not yeah with the sizes or like any close

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Speaker 3: shopping online seems oh yeah, but yeah, it's it's wild

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Speaker 3: because also you could just like go and figure out

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Speaker 3: how it fits in a store. Has put like I

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Speaker 3: feel like it's more work in the end because you're like,

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Speaker 3: haavy to go to the mail place to drop it off?

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Speaker 1: Yeah, oh yeah, And I have to give on like

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Speaker 1: things I have to return.

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Speaker 4: I've like a part of my closet that's just the

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Speaker 4: like the City of Lost Orders where yeah, these these

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Speaker 4: pants are too tight, and I also can't be bothered

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Speaker 4: to put them in a fucking envelope.

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Speaker 3: So I guess I'm like, guess to starve myself and

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Speaker 3: not walk for three months, or maybe I'll give it

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Speaker 3: to a friend when they like I don't like, I

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Speaker 3: have like a weird hypothetical friend in my mind who's like,

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Speaker 3: they're going to fit this. Yeah, yeah they don't.

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Speaker 2: I have that real, that real friend. His name's Eddie Finn.

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Speaker 2: He's a commediate in Philadelphia, and he's like, I'm like

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Speaker 2: oh I can. It's I was a little bit behind,

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Speaker 2: like aging my body aging. So I'm like, I can

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Speaker 2: still wear like a slim fit medium, I can't. So

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Speaker 2: like I was like, oh, he's skipped. So I've just

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Speaker 2: been giving him my clothes because it's just easier. It's

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Speaker 2: not even really his style. Yeah, but it's just now

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Speaker 2: dressing like me. You're just grooming him to be a replacement.

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Speaker 2: You're like, oh, you look great, man, You're trying these glasses.

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Speaker 3: You're grooming your own Dicky greenleaf situation, your own talented

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Speaker 3: mister Ripley. Yeah, You're like, I would be so flattered

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Speaker 3: if someone talented, mister Ripley.

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Speaker 2: I was going to send him to your studios today.

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Speaker 3: He just we don't look like at all. Blake looks

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Speaker 3: weird and he has dreadlocks for some reason.

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Speaker 2: Yeah, he does have dreadloine, yeah, which I love. But no,

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Speaker 2: And also yeah, I do have like a Portugal like

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Speaker 2: national team jersey that I only wear once every three

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Speaker 2: years after I get food poisoning, like it's the only time,

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Speaker 2: and I hold onto it because I'm like, oh, you're

396
00:20:14,119 --> 00:20:18,439
Speaker 2: gonna end up eating something tainted, tainted, some tainted beef

397
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Speaker 2: and the next few days you need something small to wear,

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Speaker 2: and then I won't be able to wear it again.

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Speaker 2: So okay, yeah, I'm with you.

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Speaker 3: It's just a shirt that you've thrown up in a lot,

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00:20:27,280 --> 00:20:29,919
Speaker 3: and so you feel comfortable throwing up on it, or

402
00:20:30,680 --> 00:20:33,240
Speaker 3: because you get food poisoning, you thin out to a

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00:20:33,560 --> 00:20:36,199
Speaker 3: place where you can fit into it. No, it was

404
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Speaker 3: the first one.

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Speaker 2: So there's a little clip on the back that I

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Speaker 2: can clip my hair into when I'm throwing up.

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Speaker 3: So if you just be willing to see me in person,

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Speaker 3: i'd hold your hair back for you.

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Speaker 1: Yeah, oh Jack, Yeah, that's why he always keeps little

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Speaker 1: hair bands on his wrist.

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Speaker 3: That's right.

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Speaker 5: I know.

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Speaker 4: I always thought that was like a tad.

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Speaker 1: He sends a shout out to Kevin Garnett when Kevin

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Speaker 1: Garnet used to wear rubber bands. But it's it's for long

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Speaker 1: haired friends whenever they have to vomit.

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Speaker 3: Anything's possible.

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Speaker 2: We've said it, we've said anything is possible, Anything as possible,

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00:21:07,000 --> 00:21:11,320
Speaker 2: impossible is everything? What was it actually supposed to be?

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00:21:13,520 --> 00:21:16,280
Speaker 3: Anything is possible? Much better tagline? But he got so

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00:21:16,359 --> 00:21:18,679
Speaker 3: much better. Yeah, he fit there, fixed it for you.

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00:21:18,720 --> 00:21:21,040
Speaker 3: That's what they should they should have said, oh, thank

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00:21:21,080 --> 00:21:24,800
Speaker 3: you Kevin Garnett for fixing our terrible tagline. Anyways, let's

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Speaker 3: take a quick break. We'll come back. We'll talk about

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Speaker 3: the news. We'll be right back. I'm exhausted and we're back,

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00:21:40,359 --> 00:21:45,240
Speaker 3: and so big news. Elon Musk is doing an illegal

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Speaker 3: bribery campaign to get people too registered to vote Republican. So,

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Speaker 3: I mean, the illegality of this doesn't really seem to

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Speaker 3: be in much doubt, right, yeah, I mean.

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Speaker 1: Some legal finessing language wise to explain why it's okay

431
00:22:04,119 --> 00:22:06,520
Speaker 1: to have a million dollar a day lottery for people

432
00:22:06,560 --> 00:22:09,440
Speaker 1: to register to vote. But right now, there's apparently like

433
00:22:09,480 --> 00:22:13,960
Speaker 1: a letter going around DC where quote former Republican lawmakers, advisors,

434
00:22:13,960 --> 00:22:16,560
Speaker 1: and Justice Department officials have called on Attorney General Mayor

435
00:22:16,680 --> 00:22:20,560
Speaker 1: Garland to investigate tech billionaire Elon Musk for awarding cash

436
00:22:20,600 --> 00:22:23,840
Speaker 1: prizes to voters in swing states if they signed the petition.

437
00:22:24,320 --> 00:22:27,639
Speaker 1: We'll see what happens. I don't know. I don't think

438
00:22:27,680 --> 00:22:29,160
Speaker 1: anything will happen based.

439
00:22:28,920 --> 00:22:32,400
Speaker 3: On how this DDJ has been Miles, they'll be on it.

440
00:22:32,480 --> 00:22:35,240
Speaker 3: They'll be on it, man, if anything or two.

441
00:22:35,440 --> 00:22:37,520
Speaker 4: But the other thing that's interesting is this so like

442
00:22:37,560 --> 00:22:38,440
Speaker 4: two people have won.

443
00:22:38,480 --> 00:22:39,040
Speaker 3: So as of this.

444
00:22:39,000 --> 00:22:40,639
Speaker 1: Recording, there have been two people that have won the

445
00:22:40,720 --> 00:22:46,560
Speaker 1: million Mega millions Bribathon checks. And they apparently like these

446
00:22:46,600 --> 00:22:50,440
Speaker 1: people have already participate, like they've been registered Republicans for years,

447
00:22:50,520 --> 00:22:54,480
Speaker 1: they've participated in recent non presidential elections, and they have

448
00:22:54,640 --> 00:22:58,480
Speaker 1: already mailed in their ballot for this November. So they

449
00:22:58,480 --> 00:23:01,320
Speaker 1: won all this prior, like they did this prior to

450
00:23:01,359 --> 00:23:04,119
Speaker 1: even winning it. So it's kind of like, what, wait,

451
00:23:04,160 --> 00:23:06,400
Speaker 1: what what's the point of this? Because if the whole

452
00:23:06,400 --> 00:23:09,159
Speaker 1: point is to turn out people that are not as

453
00:23:09,200 --> 00:23:11,680
Speaker 1: engaged in order to squeeze out extra votes and get

454
00:23:11,680 --> 00:23:14,880
Speaker 1: them to register, then this first batch of winners would

455
00:23:14,920 --> 00:23:16,600
Speaker 1: indicate that that is a failure.

456
00:23:16,880 --> 00:23:19,800
Speaker 3: Yeah, he's just not he's not even cheating. Good, Like

457
00:23:20,480 --> 00:23:22,240
Speaker 3: if you had just just if you had made the rule,

458
00:23:22,400 --> 00:23:26,440
Speaker 3: like you have to register, like for the first time,

459
00:23:26,600 --> 00:23:29,000
Speaker 3: Like it's not just that you like have to be

460
00:23:29,160 --> 00:23:31,640
Speaker 3: registered like I already did that. Yeah, you have to

461
00:23:31,680 --> 00:23:34,439
Speaker 3: not have voted for Trump before or something like. Just

462
00:23:34,560 --> 00:23:36,800
Speaker 3: if you're gonna cheat, just go all the way, cheat

463
00:23:37,040 --> 00:23:38,760
Speaker 3: as hard as you possibly can.

464
00:23:38,800 --> 00:23:42,080
Speaker 1: Pull up, knock on people's doors, just like watch them

465
00:23:42,119 --> 00:23:44,320
Speaker 1: fill out a ballot and then give them money right there, right,

466
00:23:44,359 --> 00:23:46,480
Speaker 1: you know that's how you should do it. Sorry, that's

467
00:23:46,560 --> 00:23:47,120
Speaker 1: how you cheat.

468
00:23:47,200 --> 00:23:48,280
Speaker 3: That is how you cheat it.

469
00:23:48,320 --> 00:23:51,239
Speaker 1: But the other part that's so fucking stupid is when

470
00:23:51,280 --> 00:23:53,679
Speaker 1: we were first talking about I said, if if this

471
00:23:53,800 --> 00:23:56,639
Speaker 1: was like his plan, why not do that earlier, because

472
00:23:56,800 --> 00:23:58,439
Speaker 1: it's so late in the game to be like, all

473
00:23:58,520 --> 00:24:00,439
Speaker 1: right now, I'm gonna chum the waters with a million

474
00:24:00,480 --> 00:24:03,200
Speaker 1: dollars a day or whatever. Because this is again if

475
00:24:03,200 --> 00:24:06,720
Speaker 1: you look, this is from Politico Monday quote. Monday is

476
00:24:06,720 --> 00:24:09,639
Speaker 1: the final day to register to vote in Pennsylvania, and

477
00:24:09,720 --> 00:24:13,800
Speaker 1: deadlines have already passed. In Georgia and Arizona. Registration is

478
00:24:13,840 --> 00:24:16,840
Speaker 1: now only available in person as part of early voting

479
00:24:16,960 --> 00:24:20,199
Speaker 1: in a handful of other swing states. So like you,

480
00:24:20,359 --> 00:24:24,560
Speaker 1: they might be like, oh, I actually can't register, right whoops?

481
00:24:24,840 --> 00:24:26,560
Speaker 3: Yeah, but I want a million dollars. I don't know.

482
00:24:26,640 --> 00:24:28,160
Speaker 1: Maybe that would be the one He'll take a bunch

483
00:24:28,160 --> 00:24:30,200
Speaker 1: of people who didn't. They're like, I'm sorry, I can't register.

484
00:24:30,280 --> 00:24:31,560
Speaker 1: Do I still get to keep the money.

485
00:24:31,359 --> 00:24:33,480
Speaker 3: If this has proven to be illegal, the he'll just

486
00:24:33,520 --> 00:24:34,720
Speaker 3: take the money back from them.

487
00:24:34,880 --> 00:24:38,760
Speaker 1: Yeah, Yeah, there's been by four Yeah, yeah, yeah, when

488
00:24:38,920 --> 00:24:40,800
Speaker 1: but like so when this fact was pointed out to

489
00:24:40,840 --> 00:24:44,120
Speaker 1: someone at Musk's like America pack, they said that, actually,

490
00:24:44,160 --> 00:24:46,720
Speaker 1: like this is all the media attention and outrage over

491
00:24:46,760 --> 00:24:50,440
Speaker 1: this is actually really good for this because it's brought

492
00:24:50,520 --> 00:24:51,680
Speaker 1: a lot more visibility.

493
00:24:52,040 --> 00:24:55,320
Speaker 3: So it's actually good to make it seem like you

494
00:24:55,359 --> 00:24:57,280
Speaker 3: have to cheat to get your guy to win, you

495
00:24:57,320 --> 00:24:59,560
Speaker 3: have to like pay people to vote for your guy.

496
00:24:59,720 --> 00:25:00,920
Speaker 3: That's actually a good look.

497
00:25:01,080 --> 00:25:05,560
Speaker 4: That's that's actually fucking five D five D scrabble if

498
00:25:05,600 --> 00:25:07,520
Speaker 4: you know how to play that. The thing that I'm

499
00:25:07,640 --> 00:25:09,800
Speaker 4: curious because a lot of people have been speculating on,

500
00:25:10,400 --> 00:25:12,879
Speaker 4: is that how much Elon Musk is. It's like, in

501
00:25:12,920 --> 00:25:16,240
Speaker 4: the last fucking what month, just put the pedal to

502
00:25:16,280 --> 00:25:16,960
Speaker 4: the metal.

503
00:25:16,720 --> 00:25:19,720
Speaker 1: In terms of like like interference, and a lot of

504
00:25:19,720 --> 00:25:23,080
Speaker 1: people are specting, like what what's his exact legal jeopardy?

505
00:25:23,200 --> 00:25:24,640
Speaker 1: You know what I mean that he wants to make

506
00:25:24,680 --> 00:25:28,000
Speaker 1: sure that he he has a Trump administration that will

507
00:25:28,040 --> 00:25:30,920
Speaker 1: be kind to him based on like what I think.

508
00:25:31,000 --> 00:25:35,480
Speaker 3: It's more the fact that all the billity, like we

509
00:25:35,520 --> 00:25:40,640
Speaker 3: talked yesterday, the top five donors for the first time

510
00:25:40,680 --> 00:25:45,120
Speaker 3: ever donating to like individual donors are donating to conservative causes.

511
00:25:45,200 --> 00:25:47,560
Speaker 3: That's the first time that's ever happened. I just think

512
00:25:47,600 --> 00:25:50,680
Speaker 3: they really smell an opportunity more than like they're voted,

513
00:25:50,800 --> 00:25:56,440
Speaker 3: they're donating out of fear. They recognize like fascism is

514
00:25:56,480 --> 00:26:02,399
Speaker 3: so good for the extremely healthy. Like there he's going

515
00:26:02,520 --> 00:26:06,000
Speaker 3: to be able to, like he's already just able to

516
00:26:06,040 --> 00:26:09,120
Speaker 3: just fucking take a hammer to civilization and all these

517
00:26:09,119 --> 00:26:11,119
Speaker 3: companies and just like do whatever the fun he wants.

518
00:26:11,119 --> 00:26:15,720
Speaker 3: But like in a Trump presidency, he's going to it's

519
00:26:15,760 --> 00:26:19,520
Speaker 3: going to be yeah, he'll probably a space force ship.

520
00:26:20,000 --> 00:26:23,879
Speaker 3: It's it's going to be very bad, like in ways

521
00:26:23,920 --> 00:26:27,399
Speaker 3: that we can't imagine, but I think he can imagine.

522
00:26:27,440 --> 00:26:29,360
Speaker 3: You know, that's how his brain works, is like he's

523
00:26:29,359 --> 00:26:33,240
Speaker 3: only imagine ways to extract billions of dollars from people

524
00:26:33,320 --> 00:26:37,240
Speaker 3: who have less money and while making their lives worse.

525
00:26:37,280 --> 00:26:38,480
Speaker 3: That's like his genius.

526
00:26:38,800 --> 00:26:41,320
Speaker 4: Well he's such a little brat, like he's such a

527
00:26:41,400 --> 00:26:43,160
Speaker 4: like just a loser.

528
00:26:42,880 --> 00:26:48,680
Speaker 2: Baby like summer yeah, yeah, yeah, yeah.

529
00:26:49,760 --> 00:26:53,000
Speaker 4: How to how to how to a thank you for.

530
00:26:55,440 --> 00:26:55,760
Speaker 3: Talk to?

531
00:26:56,359 --> 00:27:00,159
Speaker 2: And he is like a little kid where like just

532
00:27:00,160 --> 00:27:02,400
Speaker 2: speaking to why he's doing it now is I don't

533
00:27:02,440 --> 00:27:07,080
Speaker 2: think he had the foresight often with him with Musk,

534
00:27:07,160 --> 00:27:10,520
Speaker 2: it's if he's getting encouragement and if it seems like

535
00:27:10,560 --> 00:27:13,000
Speaker 2: people are reacting to what he's doing, that eggs him on.

536
00:27:13,200 --> 00:27:14,880
Speaker 2: It's like a little kid, where if a little kid

537
00:27:14,880 --> 00:27:16,440
Speaker 2: starts like I mean, I don't know if if you

538
00:27:16,440 --> 00:27:19,000
Speaker 2: don't want your kid to curse, and the kid curse curses,

539
00:27:19,040 --> 00:27:22,440
Speaker 2: you shouldn't laugh because it encourages the kid. And now

540
00:27:22,520 --> 00:27:25,040
Speaker 2: he's getting all this like look at Twitter. He bought

541
00:27:25,080 --> 00:27:27,800
Speaker 2: Twitter because people were making fun of him, and then

542
00:27:27,840 --> 00:27:29,640
Speaker 2: he's like, oh, now I can be the Twitter guy

543
00:27:29,640 --> 00:27:31,960
Speaker 2: and everyone's going to retweet by things. Isn't this fun?

544
00:27:31,960 --> 00:27:33,920
Speaker 2: And I can keep saying this horse shit. And now

545
00:27:33,920 --> 00:27:35,919
Speaker 2: he's doing it with Trump where people are reacting to it,

546
00:27:35,960 --> 00:27:40,320
Speaker 2: and he's getting fanboys, the worst fanboys you could possibly have,

547
00:27:41,480 --> 00:27:44,080
Speaker 2: from getting a yeah, he went from getting booed for

548
00:27:44,160 --> 00:27:46,879
Speaker 2: five minutes at that Dave Chappelle show at the Chase

549
00:27:46,880 --> 00:27:50,199
Speaker 2: Center in San Francisco to now like hopping up and

550
00:27:50,240 --> 00:27:51,439
Speaker 2: down at a MAGA rally.

551
00:27:53,000 --> 00:27:55,240
Speaker 3: This is these people are really cool. Dude, did you

552
00:27:55,280 --> 00:27:57,919
Speaker 3: not know he's making an X with his body? It's cool,

553
00:27:58,200 --> 00:27:59,359
Speaker 3: It's actually cool. Cool.

554
00:28:00,000 --> 00:28:02,399
Speaker 2: It is cool because he's making an X with his body.

555
00:28:02,840 --> 00:28:06,560
Speaker 2: Try making a Twitter with your body. Try fucking impossible.

556
00:28:06,880 --> 00:28:08,720
Speaker 2: It's so hard. You can do it with your own

557
00:28:08,880 --> 00:28:11,840
Speaker 2: if you maybe fucked some of your fingers up. Maybe,

558
00:28:11,960 --> 00:28:14,280
Speaker 2: But that's the whole thing. It's dangerous. Yeah, that's true.

559
00:28:14,320 --> 00:28:14,720
Speaker 2: That's true.

560
00:28:14,720 --> 00:28:17,840
Speaker 3: I'll give him that. That's the whole thing. It's dangerous.

561
00:28:17,880 --> 00:28:21,560
Speaker 3: It is, it's so dangerous. Yeah, I mean, it's just

562
00:28:21,680 --> 00:28:24,439
Speaker 3: I think. I think it's the thing, like the billionaires

563
00:28:24,600 --> 00:28:28,399
Speaker 3: try to try to coop in the forties. They couldn't

564
00:28:28,440 --> 00:28:31,040
Speaker 3: pull it off because they picked the wrong military leader.

565
00:28:31,359 --> 00:28:34,639
Speaker 3: They really tried to overthrow FDR. Like I know I

566
00:28:34,680 --> 00:28:36,960
Speaker 3: say this basically every episode now, but I think it's

567
00:28:37,040 --> 00:28:40,000
Speaker 3: very much worth noting that, Like just look up the

568
00:28:40,000 --> 00:28:43,760
Speaker 3: business plot. That's why they're so excited about this possibility,

569
00:28:43,800 --> 00:28:47,520
Speaker 3: like they want a fascist dictatorship. I will also say, like,

570
00:28:47,600 --> 00:28:50,920
Speaker 3: as much fun as it is to point and laugh

571
00:28:50,960 --> 00:28:55,280
Speaker 3: at like the failed aspects of this, like paying people

572
00:28:55,360 --> 00:29:00,920
Speaker 3: to vote is like so that I've been obsessing over

573
00:29:00,960 --> 00:29:03,880
Speaker 3: polling for the past twenty four hours just because I'm terrified,

574
00:29:04,320 --> 00:29:07,720
Speaker 3: very healthy and Jesus, Like one of the things I

575
00:29:07,760 --> 00:29:10,480
Speaker 3: was reading is like in order to get better polling

576
00:29:10,560 --> 00:29:13,560
Speaker 3: results this time around. One of the things that the

577
00:29:13,600 --> 00:29:16,520
Speaker 3: New York Times did was send out five dollars to

578
00:29:16,600 --> 00:29:19,120
Speaker 3: people in an envelope, and they were like, we'll give

579
00:29:19,120 --> 00:29:22,440
Speaker 3: you twenty more if you take our poll. Like, no question,

580
00:29:22,560 --> 00:29:25,640
Speaker 3: So here's five dollars. You just get that. This is

581
00:29:25,760 --> 00:29:28,920
Speaker 3: just a taste. This one simple trick that doctors don't

582
00:29:28,960 --> 00:29:31,800
Speaker 3: want you to know did get a bunch of people

583
00:29:32,000 --> 00:29:35,600
Speaker 3: who wouldn't normally answer polls to respond like it. So

584
00:29:36,160 --> 00:29:38,880
Speaker 3: not to say this is like a masterstroke, just that

585
00:29:39,520 --> 00:29:42,959
Speaker 3: paying people to register to vote is illegal for a reason.

586
00:29:43,560 --> 00:29:46,480
Speaker 3: All right, Well, speaking of controversy, we have a couple

587
00:29:46,600 --> 00:29:48,920
Speaker 3: new heroes that we want to highlight on the right.

588
00:29:49,720 --> 00:29:53,560
Speaker 3: You might have heard their voices at a Kamala rally

589
00:29:54,080 --> 00:29:59,080
Speaker 3: yelling lies, lies cool cool. I like that. That's what

590
00:29:59,120 --> 00:30:02,360
Speaker 3: they came up with. Yeah, lies, Okay, now's when we

591
00:30:02,400 --> 00:30:03,120
Speaker 3: do it. That's good.

592
00:30:03,520 --> 00:30:05,920
Speaker 2: Why, well, it's original at the very least. I know

593
00:30:05,960 --> 00:30:08,200
Speaker 2: it's only one word, but it's you know, they came

594
00:30:08,200 --> 00:30:10,760
Speaker 2: at least they're making something of their own, right.

595
00:30:11,080 --> 00:30:13,640
Speaker 3: They're big fans of that Guns and Roses album. Cool

596
00:30:13,680 --> 00:30:20,760
Speaker 3: reference Jack. But anyways, these are anti abortion activists and

597
00:30:21,040 --> 00:30:25,040
Speaker 3: they are making the rounds being like, you won't believe

598
00:30:25,320 --> 00:30:29,280
Speaker 3: what we experienced. It's so abuse, the derision, it's so

599
00:30:29,400 --> 00:30:30,320
Speaker 3: anti Christian.

600
00:30:30,480 --> 00:30:32,640
Speaker 1: So I'll play a moment where they go crying on

601
00:30:32,720 --> 00:30:35,200
Speaker 1: Fox News where they just kind of, I mean, and

602
00:30:35,320 --> 00:30:38,600
Speaker 1: embrace yourselves because what they went through was it sounds

603
00:30:38,680 --> 00:30:39,240
Speaker 1: just terrible.

604
00:30:39,760 --> 00:30:42,120
Speaker 5: I took this cross off my neck that I wear,

605
00:30:42,880 --> 00:30:46,480
Speaker 5: and as we were getting asked to leave, I held

606
00:30:46,480 --> 00:30:48,120
Speaker 5: it up in the air and waved at her and

607
00:30:48,120 --> 00:30:50,520
Speaker 5: pointed to her, and she looked directly and the I

608
00:30:50,600 --> 00:30:54,120
Speaker 5: kind of gave me an evil smirk, and yeah, I

609
00:30:54,120 --> 00:30:55,800
Speaker 5: just want to clear that up and confirm that she

610
00:30:56,880 --> 00:30:59,840
Speaker 5: was talking to us. And there's other controversy that says

611
00:30:59,880 --> 00:31:05,640
Speaker 5: we left we were getting shouted at, pushed, assaulted, screamed at.

612
00:31:05,720 --> 00:31:10,360
Speaker 5: So we were walking away, but there's about three attendees there,

613
00:31:10,440 --> 00:31:13,160
Speaker 5: volunteers that kicked us out with press with badges or

614
00:31:13,160 --> 00:31:17,239
Speaker 5: whatever they had, and I specifically remember this one man

615
00:31:17,360 --> 00:31:19,880
Speaker 5: saying you were uninvited and welcome to this event.

616
00:31:19,920 --> 00:31:20,560
Speaker 3: You need to leave.

617
00:31:20,720 --> 00:31:22,240
Speaker 5: And all they did was walk us out the door

618
00:31:22,240 --> 00:31:24,960
Speaker 5: then and tell us why no cops has scored us out,

619
00:31:25,960 --> 00:31:29,400
Speaker 5: no secret service and Uh, yeah, that's our story.

620
00:31:29,600 --> 00:31:33,480
Speaker 3: Oh it was because they were Christian.

621
00:31:33,760 --> 00:31:36,400
Speaker 1: Yeah, well that's what they turned the whole thing into

622
00:31:36,560 --> 00:31:39,040
Speaker 1: was because they said, well, first we were yelling things

623
00:31:39,080 --> 00:31:42,760
Speaker 1: like you know, Christ is King, Jesus, take my boner

624
00:31:43,280 --> 00:31:45,640
Speaker 1: and things like that, and they didn't like that. So

625
00:31:45,680 --> 00:31:48,720
Speaker 1: then they then they screamed at us. And that's when

626
00:31:48,760 --> 00:31:51,600
Speaker 1: Kamala gave me the evil grin and she said she's

627
00:31:51,640 --> 00:31:54,080
Speaker 1: on Satan's side, and I just think I just want

628
00:31:54,080 --> 00:31:56,000
Speaker 1: people to know that she just it's just so deeply

629
00:31:56,040 --> 00:31:58,239
Speaker 1: anti Christian. It's just like, you know, I don't know

630
00:31:58,280 --> 00:31:59,880
Speaker 1: why they claimed that they have such a big tent

631
00:32:00,040 --> 00:32:01,920
Speaker 1: as a party, because they clearly they do not want

632
00:32:01,960 --> 00:32:02,720
Speaker 1: Christian people there.

633
00:32:02,840 --> 00:32:05,000
Speaker 3: I mean, they were probably the only Christian people like

634
00:32:05,160 --> 00:32:08,640
Speaker 3: at that event, right, like, other than of Kamala Harrison,

635
00:32:09,080 --> 00:32:12,760
Speaker 3: probably ninety percent of the people there. Yeah, exactly.

636
00:32:13,360 --> 00:32:16,400
Speaker 1: It depends on what version of Christian you're going after,

637
00:32:16,520 --> 00:32:18,360
Speaker 1: you know what I mean, it's like the good version.

638
00:32:18,760 --> 00:32:20,840
Speaker 3: Yeah, well, it's like the type that opens a conversation

639
00:32:20,920 --> 00:32:22,920
Speaker 3: being like, have you accepted Christian your li brother?

640
00:32:24,160 --> 00:32:27,800
Speaker 1: What about Christ's radical acceptance? Oh not that part, No, no, no,

641
00:32:28,040 --> 00:32:30,959
Speaker 1: I'm above that I'm above. That's where I'm better than.

642
00:32:31,520 --> 00:32:34,600
Speaker 1: I don't accept anybody take your hand off my mouth, sir,

643
00:32:34,920 --> 00:32:36,880
Speaker 1: But no, he's he said they got shut when they

644
00:32:36,880 --> 00:32:39,200
Speaker 1: said the assaulted. Later on, this other guy's like, yeah,

645
00:32:39,240 --> 00:32:41,280
Speaker 1: this elderly woman like pushed me a little bit.

646
00:32:42,480 --> 00:32:46,360
Speaker 2: You're like, that's like eighteen by the way, Yeah, like children,

647
00:32:46,680 --> 00:32:49,680
Speaker 2: you you came getting less and less harrowing too. Where

648
00:32:49,720 --> 00:32:53,960
Speaker 2: it was like and then an unpaid volunteer they're out

649
00:32:53,960 --> 00:32:57,320
Speaker 2: of the goodness of their heart told me I wasn't welcomed.

650
00:32:58,080 --> 00:32:59,920
Speaker 2: Not get out, just hey, you're not welcome.

651
00:33:00,120 --> 00:33:01,000
Speaker 3: You're not welcome here.

652
00:33:01,200 --> 00:33:03,280
Speaker 4: That's really disrupt They said things like we were being

653
00:33:03,320 --> 00:33:07,720
Speaker 4: disruptive and the world just because we were screaming things

654
00:33:07,800 --> 00:33:10,920
Speaker 4: like this is just abortion as a Satanic sacrament and

655
00:33:10,960 --> 00:33:12,880
Speaker 4: a room full of people that actually, you.

656
00:33:12,880 --> 00:33:15,040
Speaker 3: Know, respect anyway. Whatever.

657
00:33:15,040 --> 00:33:17,120
Speaker 2: It's just it's just like, this is this is America, man,

658
00:33:18,120 --> 00:33:20,480
Speaker 2: this is America. They made icons America for you.

659
00:33:21,360 --> 00:33:23,400
Speaker 1: Yeah, it had it had very much had that Like

660
00:33:23,640 --> 00:33:26,760
Speaker 1: when Ralph Wigham was talking about how he saw Principal

661
00:33:26,800 --> 00:33:29,960
Speaker 1: Skinner and Missus Crabapple kissing and the baby, and the

662
00:33:30,040 --> 00:33:33,760
Speaker 1: baby looked at me and it smiled, and it's like, what, Okay,

663
00:33:33,880 --> 00:33:35,080
Speaker 1: Sure she looked.

664
00:33:34,880 --> 00:33:37,680
Speaker 3: At me and she gave me an evil smile. That's

665
00:33:37,800 --> 00:33:40,400
Speaker 3: the evil. That's just like really brought me back to

666
00:33:41,560 --> 00:33:45,200
Speaker 3: time spent like around those types of Christians where they

667
00:33:45,360 --> 00:33:50,240
Speaker 3: just like they want to make everything like spooky. And

668
00:33:50,360 --> 00:33:53,760
Speaker 3: then he said, like this thing that clearly meant.

669
00:33:53,720 --> 00:33:56,120
Speaker 1: That's what I'm like, Man, you just tried pre marital sex.

670
00:33:57,120 --> 00:34:00,080
Speaker 1: You know this is They're like, I don't know, I

671
00:34:00,160 --> 00:34:03,120
Speaker 1: think this Bennigan's is evil Bennigans.

672
00:34:03,520 --> 00:34:04,240
Speaker 3: Yeah, I mean I.

673
00:34:04,240 --> 00:34:06,280
Speaker 4: Guess there's only like three left in the country, so

674
00:34:06,600 --> 00:34:10,160
Speaker 4: in that sense, it's spooky. But come on, I'm guy.

675
00:34:10,560 --> 00:34:13,600
Speaker 4: Oh okay, Irish, right.

676
00:34:13,600 --> 00:34:21,960
Speaker 3: Good, Irish Catholic name, Oh Charlie's yea, they accept christ. Yeah,

677
00:34:22,080 --> 00:34:26,560
Speaker 3: my Christian Baptist friends like made me drive out to

678
00:34:26,680 --> 00:34:30,840
Speaker 3: this house in the country. They're like that's a Satan house,

679
00:34:31,080 --> 00:34:34,440
Speaker 3: Like it's satanic and they like really were taked out.

680
00:34:34,520 --> 00:34:40,160
Speaker 3: Interracial couple comes out with the family I told you,

681
00:34:40,280 --> 00:34:41,719
Speaker 3: I told you, Sopky.

682
00:34:42,400 --> 00:34:44,360
Speaker 2: It's a white couple with two daughters, and they're like

683
00:34:47,520 --> 00:34:52,720
Speaker 2: they have two daughters, two women, and they were skateboarding.

684
00:34:54,360 --> 00:34:58,839
Speaker 2: The dan got the dad's got righteous gemstones.

685
00:35:01,920 --> 00:35:05,280
Speaker 3: He's evil. He's evil. How's everybody doing? Just in terms

686
00:35:05,320 --> 00:35:10,680
Speaker 3: of just take it. I'm gonna turn my chair around here.

687
00:35:11,000 --> 00:35:13,000
Speaker 3: Just just wanted to take a minute and check in

688
00:35:13,080 --> 00:35:13,719
Speaker 3: with everybody.

689
00:35:13,960 --> 00:35:14,080
Speaker 4: Uh.

690
00:35:14,400 --> 00:35:16,680
Speaker 3: I don't know if you've heard of my my man JC,

691
00:35:17,040 --> 00:35:19,320
Speaker 3: but he had some pretty cool things to say. Uh no,

692
00:35:19,480 --> 00:35:24,640
Speaker 3: do you mean the Atlanta Journal Courier? How No? AJC? Oh, sorry,

693
00:35:25,000 --> 00:35:28,279
Speaker 3: my man, I thought that was fantastic. No, no, there was.

694
00:35:28,440 --> 00:35:31,160
Speaker 1: There was an AJC poll that came out that was

695
00:35:31,160 --> 00:35:33,919
Speaker 1: talking about Georgia polling and how Trump is up plus three.

696
00:35:34,080 --> 00:35:37,200
Speaker 3: Now, yeah, that's I guess that's what I'm referring to.

697
00:35:37,360 --> 00:35:42,520
Speaker 3: How's the poles are bad? A bunch of media outlet

698
00:35:42,680 --> 00:35:48,440
Speaker 3: like The Economist, even Nate Silver have shifted things towards Trump.

699
00:35:48,680 --> 00:35:52,120
Speaker 3: Like granted, it's like this used to be Kamala fifty one,

700
00:35:52,200 --> 00:35:56,600
Speaker 3: Trump forty eight. Now it's Kamala forty nine, Trump fifty one.

701
00:35:57,280 --> 00:35:59,759
Speaker 3: But that's enough to get me to click on that.

702
00:36:00,680 --> 00:36:02,960
Speaker 3: I don't know. I think I don't know.

703
00:36:03,080 --> 00:36:05,920
Speaker 1: With the polling, I'm just always gonna kind of end

704
00:36:06,040 --> 00:36:09,040
Speaker 1: up in the same place, which is it's merely it's

705
00:36:09,080 --> 00:36:10,200
Speaker 1: a it's just a vibe.

706
00:36:10,520 --> 00:36:11,680
Speaker 3: You can't count on it.

707
00:36:11,960 --> 00:36:15,520
Speaker 1: And I think, regardless this, it's going to be close,

708
00:36:15,840 --> 00:36:18,480
Speaker 1: it's going to be very very close. So starting to

709
00:36:18,640 --> 00:36:22,200
Speaker 1: split hairs over if it's forty nine to fifty one

710
00:36:22,400 --> 00:36:24,920
Speaker 1: or forty eight to fifty that all that shit. I

711
00:36:24,960 --> 00:36:27,319
Speaker 1: think it just shows that it's super tight. And there

712
00:36:27,480 --> 00:36:29,440
Speaker 1: was a like if you like on Pew Research, they

713
00:36:29,440 --> 00:36:31,800
Speaker 1: had an article that was talking about polling, and in

714
00:36:31,920 --> 00:36:34,359
Speaker 1: it they talk about all these other variables that can

715
00:36:34,560 --> 00:36:38,319
Speaker 1: influence the accuracy of polling, and they said, sometimes when

716
00:36:38,360 --> 00:36:41,600
Speaker 1: you take everything into account, the margin of error usually

717
00:36:41,600 --> 00:36:44,040
Speaker 1: it's like around three percent can actually be double that.

718
00:36:45,360 --> 00:36:48,080
Speaker 1: If you're looking at polls that have a plus minus

719
00:36:48,200 --> 00:36:51,560
Speaker 1: of six, then things that are just a couple points

720
00:36:51,600 --> 00:36:55,880
Speaker 1: in between aren't necessarily like like the be all end all.

721
00:36:56,120 --> 00:36:58,399
Speaker 1: And I think the bigger point too, is that now

722
00:36:58,520 --> 00:37:02,320
Speaker 1: that a lot of like news outlets also do polling

723
00:37:02,520 --> 00:37:05,279
Speaker 1: as part of their like horse race coverage, Like they're like,

724
00:37:05,320 --> 00:37:07,560
Speaker 1: we teamed up with these this is what our polling says.

725
00:37:08,239 --> 00:37:11,440
Speaker 1: Like now it's clear that they're incentivized to always keep

726
00:37:11,520 --> 00:37:14,120
Speaker 1: updating with stuff that gets people more engaged in clicking

727
00:37:14,200 --> 00:37:15,799
Speaker 1: and things like that. Because at the end of the day,

728
00:37:16,600 --> 00:37:18,800
Speaker 1: like one thing that's been seen is that it's like

729
00:37:18,920 --> 00:37:22,160
Speaker 1: the non partisan polling that isn't coming from political like

730
00:37:22,239 --> 00:37:25,239
Speaker 1: the actual candidates their political parties or other packs and

731
00:37:25,280 --> 00:37:28,000
Speaker 1: things like that aren't nearly as accurate as like independent ones.

732
00:37:28,400 --> 00:37:32,960
Speaker 1: And even then again those same errors exist, So I

733
00:37:33,120 --> 00:37:35,759
Speaker 1: know it's it's the kind of shit that you want

734
00:37:35,800 --> 00:37:37,839
Speaker 1: to start freaking out about by looking at but at

735
00:37:37,880 --> 00:37:39,560
Speaker 1: the same time, like you have to we kind of

736
00:37:39,600 --> 00:37:40,920
Speaker 1: have to sort of look at at me, like this

737
00:37:41,080 --> 00:37:43,920
Speaker 1: is not this is not the right way, like this

738
00:37:44,200 --> 00:37:46,120
Speaker 1: it's not fully accurate in the same way that you

739
00:37:46,160 --> 00:37:49,520
Speaker 1: can actually you know that the farm on it, like

740
00:37:49,640 --> 00:37:53,520
Speaker 1: I have, thank god, man at right at farms? Yeah, man,

741
00:37:53,640 --> 00:37:55,879
Speaker 1: oh yeah, I lost a couple of farms, a couple

742
00:37:55,920 --> 00:37:56,400
Speaker 1: of heifer's.

743
00:37:57,000 --> 00:38:00,239
Speaker 3: Yeah. I guess the theory I've always had in my

744
00:38:00,320 --> 00:38:02,279
Speaker 3: head is like she needs to be up by a

745
00:38:02,440 --> 00:38:05,879
Speaker 3: ton because both of the last elections have had big

746
00:38:06,000 --> 00:38:08,640
Speaker 3: pulling misses in the direction of Trump. So I was

747
00:38:08,800 --> 00:38:13,880
Speaker 3: researching that, and there's one guy who got the mid

748
00:38:14,000 --> 00:38:17,760
Speaker 3: terms right and said, like the reason for the polling

749
00:38:17,800 --> 00:38:21,400
Speaker 3: misses in twenty sixteen and twenty twenty were different reasons.

750
00:38:21,480 --> 00:38:27,080
Speaker 3: Twenty sixteen, they under indexed like non college educated voters.

751
00:38:27,400 --> 00:38:30,360
Speaker 3: They fixed that for twenty twenty, but they missed Trump

752
00:38:30,440 --> 00:38:35,200
Speaker 3: voters because they were they just were busy like working

753
00:38:35,400 --> 00:38:38,720
Speaker 3: and ignoring the pandemic, and like Biden voters were busy

754
00:38:38,880 --> 00:38:42,040
Speaker 3: like social distancing and freaking out about the election. So

755
00:38:42,160 --> 00:38:46,080
Speaker 3: they actually like answered the polls. So and there's all

756
00:38:46,160 --> 00:38:48,600
Speaker 3: sorts of reasons to suspect that, like both of those

757
00:38:48,680 --> 00:38:52,480
Speaker 3: things have been corrected for and possibly over corrected for

758
00:38:53,000 --> 00:38:58,040
Speaker 3: because they're so scared of getting things like the mainstream

759
00:38:59,000 --> 00:39:02,120
Speaker 3: polls are so scared of like getting another miss in

760
00:39:03,239 --> 00:39:07,640
Speaker 3: Kamala's direction, you know, overestimating Kamala in the polls, and

761
00:39:07,800 --> 00:39:12,440
Speaker 3: so he is still like it's pretty like it's close,

762
00:39:12,920 --> 00:39:16,960
Speaker 3: but Kamala is winning, Which is that That made me

763
00:39:17,080 --> 00:39:22,160
Speaker 3: feel like slightly less crazy, But also I don't know, like, yeah,

764
00:39:22,320 --> 00:39:24,560
Speaker 3: it's just that everybody seems to say it's close.

765
00:39:24,840 --> 00:39:26,680
Speaker 1: Well, and I think there's also this thing of like

766
00:39:27,520 --> 00:39:29,520
Speaker 1: just like with the red wave that was supposed to

767
00:39:29,600 --> 00:39:32,600
Speaker 1: happen in twenty twenty two and never materialized. That was

768
00:39:32,719 --> 00:39:37,799
Speaker 1: also because partisan polling operations were shifting the averages. Yeah,

769
00:39:37,840 --> 00:39:41,400
Speaker 1: I just reporting points that wasn't as accurate and again

770
00:39:42,239 --> 00:39:44,400
Speaker 1: sort of tipping the balances to be a little bit

771
00:39:44,440 --> 00:39:47,600
Speaker 1: more friendly to the GOP. So I think at the

772
00:39:47,680 --> 00:39:50,239
Speaker 1: end of the day, like the most you can really

773
00:39:50,600 --> 00:39:53,400
Speaker 1: say is that it's close. It's close's and that's all

774
00:39:53,480 --> 00:39:55,480
Speaker 1: these things are saying, like there isn't something where like

775
00:39:55,600 --> 00:39:57,160
Speaker 1: every pole is like, oh my god, there was a

776
00:39:57,280 --> 00:40:01,719
Speaker 1: twenty point swing in one direction. No, it's just it's

777
00:40:01,840 --> 00:40:04,360
Speaker 1: that things are close. And I think that's like the

778
00:40:04,960 --> 00:40:07,040
Speaker 1: the shitty part that we have to go through every

779
00:40:07,120 --> 00:40:12,799
Speaker 1: election period is like what the No, maybe not this much,

780
00:40:12,880 --> 00:40:14,359
Speaker 1: but yeah, I think just yeah.

781
00:40:14,719 --> 00:40:16,480
Speaker 3: The guy who I'm talking about, ed In Germantum, is

782
00:40:16,600 --> 00:40:18,839
Speaker 3: one of the only people who had the like called

783
00:40:18,880 --> 00:40:22,239
Speaker 3: bullshit on the red wave thing pretty consistently and confidently,

784
00:40:22,320 --> 00:40:25,800
Speaker 3: and he's one of the last people saying it doesn't

785
00:40:25,840 --> 00:40:27,920
Speaker 3: look as good for Trump as a lot of the

786
00:40:28,000 --> 00:40:29,759
Speaker 3: polling suggests right now.

787
00:40:30,480 --> 00:40:32,680
Speaker 2: Of I think that Jack's like, oh, I've been reading

788
00:40:32,760 --> 00:40:35,320
Speaker 2: all this, you know, like research on polling, and meanwhile

789
00:40:35,360 --> 00:40:37,920
Speaker 2: you're just watching videos of like the octopus who picks

790
00:40:38,000 --> 00:40:39,080
Speaker 2: like the World Cup teams.

791
00:40:39,400 --> 00:40:43,880
Speaker 3: He is an octopus. He like uses numbers, yeah, like, no,

792
00:40:44,000 --> 00:40:47,080
Speaker 3: I understand, I understand, I know. I don't know why

793
00:40:47,160 --> 00:40:49,359
Speaker 3: his name is edin Germentum.

794
00:40:50,480 --> 00:40:55,640
Speaker 1: That the octopus the smartest octopus that's out or just

795
00:40:55,760 --> 00:40:58,279
Speaker 1: watching videos like there's like peg boards or dropping a

796
00:40:58,360 --> 00:40:59,800
Speaker 1: ball and you're like, which way is it going to go?

797
00:41:00,560 --> 00:41:03,840
Speaker 3: I did read an in depth look at the the

798
00:41:04,000 --> 00:41:07,720
Speaker 3: thirteen Keys guy, yeah, who like claims to have predicted

799
00:41:07,760 --> 00:41:10,560
Speaker 3: every election since nineteen eighty with his thirteen yes no

800
00:41:10,960 --> 00:41:16,360
Speaker 3: true false statements and less confident in his stake. They

801
00:41:16,400 --> 00:41:20,560
Speaker 3: were like, first of all, he hasn't actually predicted things right, Like,

802
00:41:20,960 --> 00:41:22,840
Speaker 3: I mean, they really dug in on the fact that

803
00:41:22,920 --> 00:41:25,600
Speaker 3: he like claims well, I got two thousand right because

804
00:41:25,600 --> 00:41:28,040
Speaker 3: I picked Gore, but Gore won the popular vote. And

805
00:41:28,120 --> 00:41:30,479
Speaker 3: he also says, well, I got twenty sixteen right because

806
00:41:30,480 --> 00:41:33,279
Speaker 3: I was the only person who called Trump, but Trump

807
00:41:33,320 --> 00:41:35,560
Speaker 3: didn't win the popular vote. So he's like, yeah, but

808
00:41:36,640 --> 00:41:41,760
Speaker 3: still right, so but who won? Yeah, okay, you squeaked

809
00:41:41,760 --> 00:41:46,920
Speaker 3: it out. And then James Carvill still out here, freak.

810
00:41:46,719 --> 00:41:51,919
Speaker 1: Away, please that boy, James carl Away, that man lord

811
00:41:51,960 --> 00:41:54,440
Speaker 1: and snake nipples and get him out of here.

812
00:41:54,760 --> 00:41:58,600
Speaker 3: The whole ball rat with a swamp cat like dude,

813
00:41:58,760 --> 00:42:01,720
Speaker 3: just the race is close. The race is close.

814
00:42:01,960 --> 00:42:04,160
Speaker 4: That's not watching a ferret in a weasel in a

815
00:42:04,200 --> 00:42:06,839
Speaker 4: foot race for a little bit of old mouse meat.

816
00:42:07,160 --> 00:42:10,080
Speaker 3: And he thinks that we know obviously who's gonna win

817
00:42:10,160 --> 00:42:14,880
Speaker 3: that disel and a foot race for mouse meat. Oh okay,

818
00:42:14,960 --> 00:42:19,160
Speaker 3: when every time, wait, what is the same thing? I

819
00:42:19,200 --> 00:42:25,840
Speaker 3: don't stand commentary. Yeah, yeah, all right, let's take a

820
00:42:25,960 --> 00:42:41,400
Speaker 3: quick break and we'll be back. And we're bad. And

821
00:42:41,520 --> 00:42:43,840
Speaker 3: we're back, and I got a burn that bag for

822
00:42:44,000 --> 00:42:52,560
Speaker 3: of mouse meat. It mouse meat is so gross, sorry,

823
00:42:52,640 --> 00:42:56,359
Speaker 3: because I feel like it would be of mammals, would

824
00:42:56,400 --> 00:42:58,879
Speaker 3: be like trying to eat crab. You know, a crab

825
00:42:59,040 --> 00:43:02,359
Speaker 3: is like there's such little meat. You got so much work.

826
00:43:02,760 --> 00:43:05,239
Speaker 4: There's good eating and crabs. There's most people just too

827
00:43:05,320 --> 00:43:07,880
Speaker 4: lazy to get in the bone, in the in the

828
00:43:08,000 --> 00:43:11,040
Speaker 4: shelves and scoop it out. Good good eating him mice too,

829
00:43:11,280 --> 00:43:12,120
Speaker 4: good eating mice too.

830
00:43:12,239 --> 00:43:13,440
Speaker 3: A lot of people leave a lot of meat on

831
00:43:13,480 --> 00:43:13,799
Speaker 3: the bone.

832
00:43:14,480 --> 00:43:20,320
Speaker 4: My great grandfather was a crawl daddy, So I'm very well, that's.

833
00:43:19,840 --> 00:43:23,120
Speaker 3: The Carbo family know for getting all the meat off

834
00:43:23,160 --> 00:43:25,640
Speaker 3: the mouse bone. Before he starts an interview, he spits

835
00:43:25,680 --> 00:43:32,400
Speaker 3: out three mouse pellets, mouse meat. I'm just anyway to

836
00:43:32,560 --> 00:43:35,120
Speaker 3: forget it. But like a big old owl, you know,

837
00:43:35,239 --> 00:43:38,960
Speaker 3: I just upped there, freaking big old eyes. Nobody trusts me.

838
00:43:39,120 --> 00:43:41,239
Speaker 3: You ever see an owl at his feathers look like me?

839
00:43:41,560 --> 00:43:45,480
Speaker 3: Yeahs and pops here? Just meat? How many? How many

840
00:43:45,560 --> 00:43:46,960
Speaker 3: bites does it take to get to the center of

841
00:43:47,280 --> 00:43:50,759
Speaker 3: some mouse meat? Just one? Just the one owl? Just one,

842
00:43:53,200 --> 00:43:56,480
Speaker 3: just one of them bites of mouse and half. Anyways,

843
00:43:57,800 --> 00:43:58,000
Speaker 3: this is.

844
00:43:58,160 --> 00:44:00,800
Speaker 2: So hold on, this is so disgusting. But I was

845
00:44:00,880 --> 00:44:04,239
Speaker 2: picturing he yawns on set one day and he has

846
00:44:04,440 --> 00:44:07,160
Speaker 2: like like a squid's beak in the.

847
00:44:07,239 --> 00:44:13,920
Speaker 3: Back of his mouth. Was picturing. I'm glad that you stopped, Yeah, stopped.

848
00:44:13,920 --> 00:44:14,239
Speaker 2: Hold on.

849
00:44:15,239 --> 00:44:18,080
Speaker 3: Let me just tell you what my head. He's got

850
00:44:18,200 --> 00:44:21,520
Speaker 3: a beak, all right, it would come out like is

851
00:44:21,600 --> 00:44:24,680
Speaker 3: it like yeah, like a xenomorph.

852
00:44:25,200 --> 00:44:27,080
Speaker 2: I hate it more if it's hidden, I hate it

853
00:44:27,120 --> 00:44:29,120
Speaker 2: more if it's like seen, like like, oh wait, they

854
00:44:29,160 --> 00:44:30,600
Speaker 2: have a tongue ring, you know what I mean, Like

855
00:44:30,640 --> 00:44:32,759
Speaker 2: everyone while a tongue.

856
00:44:33,000 --> 00:44:38,200
Speaker 3: But when we found that Andrew Cuomo had nipple rings, yeah, yes,

857
00:44:38,880 --> 00:44:43,520
Speaker 3: that bummed me out. Damn what a time. He just

858
00:44:43,600 --> 00:44:44,080
Speaker 3: went away.

859
00:44:44,200 --> 00:44:46,880
Speaker 4: He can he went, and he's come, he's tried to

860
00:44:46,960 --> 00:44:49,360
Speaker 4: come back and it's just not happening for him. No,

861
00:44:49,640 --> 00:44:51,479
Speaker 4: maybe Eric Adams should get some nipple rings.

862
00:44:52,080 --> 00:44:54,400
Speaker 2: I mean I would, I would be if he didn't know.

863
00:44:55,920 --> 00:44:59,000
Speaker 2: I bet he just takes about electrified. Yeah, just Fraternal

864
00:44:59,160 --> 00:45:00,600
Speaker 2: Order of Police nipple ring.

865
00:45:01,040 --> 00:45:07,440
Speaker 3: All right, Well, speaking of people in the illuminati who

866
00:45:07,440 --> 00:45:11,319
Speaker 3: control the world mouse we were talking about mouse meat.

867
00:45:11,680 --> 00:45:14,319
Speaker 3: It's weird when you say mice meat, Blake, it's mouse meat.

868
00:45:14,320 --> 00:45:14,880
Speaker 3: It's mousehea.

869
00:45:15,120 --> 00:45:17,640
Speaker 2: Oh sorry, I'm so sorry. Why would I pluralize it? No,

870
00:45:17,680 --> 00:45:19,120
Speaker 2: you're right, I'm sorry, I am sorry.

871
00:45:19,840 --> 00:45:23,520
Speaker 3: Just in keeping with the theme of you know, the

872
00:45:23,600 --> 00:45:28,080
Speaker 3: business plot with the wealthy donors being like the billionaires

873
00:45:28,120 --> 00:45:31,320
Speaker 3: all being in the tank for fascism, I've been noticing

874
00:45:31,400 --> 00:45:35,319
Speaker 3: a trend in mainstream media where they're kind of giving

875
00:45:35,440 --> 00:45:40,440
Speaker 3: up on climate change because of AI. Specifically, they're like,

876
00:45:40,520 --> 00:45:43,759
Speaker 3: all right, enough with this climate change stuff. Now there's

877
00:45:43,840 --> 00:45:47,680
Speaker 3: money to be made. So, as we've discussed, we had like,

878
00:45:47,840 --> 00:45:50,880
Speaker 3: you know, academics on who looked at the large language models.

879
00:45:51,200 --> 00:45:55,200
Speaker 3: They say AI is mostly pointless bullshit that requires a

880
00:45:55,719 --> 00:46:00,480
Speaker 3: entire New York City's worth of electricity to like fuel,

881
00:46:00,719 --> 00:46:04,480
Speaker 3: a fancy auto complete and these large language models.

882
00:46:04,520 --> 00:46:06,560
Speaker 4: But that's also how I get all the logo design

883
00:46:06,719 --> 00:46:08,480
Speaker 4: from cobbles moousemeat dot com.

884
00:46:09,320 --> 00:46:11,560
Speaker 3: I don't have to pay somebody that is on my website.

885
00:46:12,800 --> 00:46:15,000
Speaker 3: Oh my god, he yawned. He does have a fucking squid.

886
00:46:20,719 --> 00:46:22,480
Speaker 3: You just like sitting with him on a portion and

887
00:46:22,560 --> 00:46:24,719
Speaker 3: then he just smiles at you with his mouth open

888
00:46:24,760 --> 00:46:29,120
Speaker 3: and you hear clicking from the back of noise. It's

889
00:46:29,200 --> 00:46:30,280
Speaker 3: my squid beak throat.

890
00:46:31,160 --> 00:46:33,680
Speaker 4: That's how I jumped down to mouse meat ball in

891
00:46:33,760 --> 00:46:36,280
Speaker 4: a beak. You ever tried to pass mouse meat bone.

892
00:46:37,600 --> 00:46:42,000
Speaker 3: A squid beak? But yeah, I don't know. I I

893
00:46:42,239 --> 00:46:45,000
Speaker 3: believe there are targeted uses for AI that are going

894
00:46:45,080 --> 00:46:49,239
Speaker 3: to be useful, certainly worthy of some research, but as

895
00:46:49,320 --> 00:46:53,239
Speaker 3: a like mass reach consumer product, it doesn't seem to

896
00:46:53,320 --> 00:46:56,720
Speaker 3: make sense. And it's like burning down the electricity grid

897
00:46:56,960 --> 00:47:01,600
Speaker 3: and like forests. So recently, yeah, there were also like

898
00:47:01,680 --> 00:47:04,719
Speaker 3: recent headlines where they're like the grid is soon going

899
00:47:04,800 --> 00:47:07,040
Speaker 3: to be maxed out at a time when we like

900
00:47:07,160 --> 00:47:10,320
Speaker 3: actually need to be drawing down air energy consumption. They're like,

901
00:47:10,760 --> 00:47:15,600
Speaker 3: it's the AI is really taking it off the charts. Anyways,

902
00:47:15,760 --> 00:47:18,400
Speaker 3: good news for people who's still live in the year

903
00:47:18,480 --> 00:47:20,640
Speaker 3: two thousand and eight and think tex CEOs are going

904
00:47:20,680 --> 00:47:24,640
Speaker 3: to save us. Eric Schmidt, one of the founders of Google,

905
00:47:25,239 --> 00:47:28,680
Speaker 3: has basically said the quiet part out loud, the quiet

906
00:47:28,719 --> 00:47:32,160
Speaker 3: part of like the thesis behind this what I felt

907
00:47:32,239 --> 00:47:34,719
Speaker 3: like I'd been seeing in headlines for a long time.

908
00:47:35,239 --> 00:47:37,920
Speaker 3: He basically said, it's time to give up on trying

909
00:47:38,040 --> 00:47:43,080
Speaker 3: to solve climate, double down on AI and use AI's

910
00:47:43,280 --> 00:47:47,319
Speaker 3: like brilliant solutions to solve the climate crisis for us.

911
00:47:47,880 --> 00:47:53,200
Speaker 2: There you go, so okay, yeah, I'm going to figure

912
00:47:53,239 --> 00:47:55,839
Speaker 2: that out to power machines.

913
00:47:56,040 --> 00:47:59,440
Speaker 4: That's where James Cargo comes in back again. How to

914
00:47:59,560 --> 00:48:01,759
Speaker 4: cut down. We've got to stop eating beef, y'all. That's

915
00:48:02,000 --> 00:48:04,000
Speaker 4: just doing too much of the carbon. Yeah, we got

916
00:48:04,120 --> 00:48:05,200
Speaker 4: to be eating mouse steaks.

917
00:48:05,520 --> 00:48:08,400
Speaker 3: They need to give us like one just one example

918
00:48:08,440 --> 00:48:13,480
Speaker 3: of AI like doing solving a problem complex and like

919
00:48:13,760 --> 00:48:16,239
Speaker 3: that is complex, Like okay, you AI hater.

920
00:48:16,480 --> 00:48:19,360
Speaker 1: I just pulled up the World Economic Forum because you

921
00:48:19,440 --> 00:48:23,000
Speaker 1: can trust them, Okay, And it says how AI is

922
00:48:23,120 --> 00:48:25,920
Speaker 1: helping with climate change and it's mostly just referring to

923
00:48:25,960 --> 00:48:29,400
Speaker 1: stuff that it's just helping us measure how fucked up

924
00:48:29,480 --> 00:48:35,279
Speaker 1: climate changes. It's like iceberg. AI knows where Oh yeah,

925
00:48:35,360 --> 00:48:37,320
Speaker 1: I think people, they're like, but it does it faster.

926
00:48:37,560 --> 00:48:42,520
Speaker 1: It can map deforestation. Okay, that's a thing we can

927
00:48:42,680 --> 00:48:43,680
Speaker 1: do maybe at a slope.

928
00:48:43,760 --> 00:48:46,400
Speaker 3: It's going to give us such high resolution images of

929
00:48:46,520 --> 00:48:47,760
Speaker 3: the earth failing.

930
00:48:47,880 --> 00:48:50,560
Speaker 1: The other one is like helping people see where there's

931
00:48:50,680 --> 00:48:53,239
Speaker 1: like plastic pollution at the bottom of the seat.

932
00:48:53,560 --> 00:48:57,040
Speaker 3: Oh that's amazing. Oh wow, that's like again so helpful.

933
00:48:57,120 --> 00:48:59,879
Speaker 1: We've said this in the past two there's because there's

934
00:48:59,880 --> 00:49:01,279
Speaker 1: all a lot of talking is like it could help

935
00:49:01,640 --> 00:49:04,800
Speaker 1: homes be like more efficient with energy. Okay, But the

936
00:49:04,880 --> 00:49:06,600
Speaker 1: other part of it that when they when they actually

937
00:49:06,680 --> 00:49:08,800
Speaker 1: like did a survey of people who have smart homes,

938
00:49:09,080 --> 00:49:11,400
Speaker 1: they're using it to like stay more comfortable, not to

939
00:49:11,440 --> 00:49:13,560
Speaker 1: be more efficient. They're like, no, I want this place

940
00:49:13,760 --> 00:49:15,840
Speaker 1: freezing cold than when it's hot, and I want this

941
00:49:15,880 --> 00:49:18,439
Speaker 1: thing like a fucking blast furnace when it goes below

942
00:49:18,560 --> 00:49:22,000
Speaker 1: sixty yeah. Yeah, Like so it's just using more energy

943
00:49:22,040 --> 00:49:24,279
Speaker 1: and it's not actually saying like, I don't know in

944
00:49:24,400 --> 00:49:25,200
Speaker 1: his mind, what does it do.

945
00:49:25,280 --> 00:49:28,520
Speaker 4: It's like I have invented a new thing that we

946
00:49:28,760 --> 00:49:31,040
Speaker 4: just need to plug in and it will reverse the

947
00:49:31,120 --> 00:49:31,680
Speaker 4: car like what.

948
00:49:32,160 --> 00:49:35,360
Speaker 3: Well you see there, like overall philosophy that like like

949
00:49:35,560 --> 00:49:38,879
Speaker 3: long termism, right, A lot of that is like yeah,

950
00:49:39,080 --> 00:49:42,160
Speaker 3: well you know a lot of half the population may die,

951
00:49:42,360 --> 00:49:44,400
Speaker 3: but it'll be good for humanity in the long run.

952
00:49:44,520 --> 00:49:46,120
Speaker 3: Like I really think they're coming at it from a

953
00:49:46,160 --> 00:49:49,640
Speaker 3: perspective of like the global South may all die, but

954
00:49:49,920 --> 00:49:52,800
Speaker 3: oh we in Silicon we the like masters of the

955
00:49:52,920 --> 00:49:55,880
Speaker 3: universe who are actually smarter than everybody. Well, you know,

956
00:49:56,040 --> 00:49:57,040
Speaker 3: like just eugenics.

957
00:49:57,280 --> 00:49:59,920
Speaker 1: Right, I feel like I'm forty degrees above the equators,

958
00:50:00,000 --> 00:50:02,000
Speaker 1: so I will not see the worst of it as

959
00:50:02,160 --> 00:50:06,000
Speaker 1: it's happening. But it's just again, so stupid, because we

960
00:50:06,239 --> 00:50:08,239
Speaker 1: know what the fuck we need to do, and I

961
00:50:08,280 --> 00:50:10,719
Speaker 1: don't need AI to tell me that we need to

962
00:50:10,800 --> 00:50:13,640
Speaker 1: fucking sort out all of the carbon emissions. Yeah, and

963
00:50:13,760 --> 00:50:17,160
Speaker 1: the way we are using fossil fuels and our energy generation,

964
00:50:17,320 --> 00:50:19,520
Speaker 1: and we actually need to modernize like our grid to

965
00:50:19,680 --> 00:50:24,839
Speaker 1: use more renewable energy. So again, the solutions are there,

966
00:50:24,880 --> 00:50:28,680
Speaker 1: they've already been like the the problem has been identified,

967
00:50:28,880 --> 00:50:31,760
Speaker 1: and the way we get through it has been pretty

968
00:50:31,840 --> 00:50:35,680
Speaker 1: much been screamed in our faces by every atmospheric science,

969
00:50:35,680 --> 00:50:37,800
Speaker 1: every scientist who's like working in this field.

970
00:50:38,040 --> 00:50:40,279
Speaker 3: But yet again they're like, what are you talking about

971
00:50:40,280 --> 00:50:43,279
Speaker 3: the climate goals? Yeah, because he was talking about those

972
00:50:43,320 --> 00:50:46,520
Speaker 3: climate goals and he said, quote all that will be

973
00:50:46,680 --> 00:50:50,120
Speaker 3: swamped by the enormous needs of this new technology. We

974
00:50:50,239 --> 00:50:52,840
Speaker 3: may make mistakes with respect to how it's used, but

975
00:50:52,960 --> 00:50:55,319
Speaker 3: I can assure you that we're not going to get

976
00:50:55,360 --> 00:51:01,319
Speaker 3: there through conservation get where yeah yeah, to selling more

977
00:51:02,480 --> 00:51:05,959
Speaker 3: yeah yeah. It's just it's been assumed like yes, sorry,

978
00:51:06,000 --> 00:51:09,920
Speaker 3: the market says we're this is popular, so we're going

979
00:51:10,160 --> 00:51:13,319
Speaker 3: to keep pushing this. Also, this news is coming out

980
00:51:13,360 --> 00:51:16,960
Speaker 3: as scientists are pointing out that carbon sinks, which is

981
00:51:17,120 --> 00:51:19,080
Speaker 3: like the natural way the Earth eats half of the

982
00:51:19,160 --> 00:51:22,880
Speaker 3: carbon we emit with like forests and ocean algae have

983
00:51:23,080 --> 00:51:27,000
Speaker 3: been failing because I guess we don't really know why,

984
00:51:27,480 --> 00:51:29,759
Speaker 3: but like the past couple of years, they're kind of

985
00:51:30,520 --> 00:51:34,600
Speaker 3: not working as well. They're the ocean isn't drinking eating

986
00:51:34,680 --> 00:51:37,400
Speaker 3: up as much carbon for us aren't eating as much

987
00:51:37,440 --> 00:51:43,319
Speaker 3: carbon as they used to. So it's like drastic action

988
00:51:43,880 --> 00:51:47,840
Speaker 3: is required right now, and these motherfuckers are like, I

989
00:51:48,040 --> 00:51:49,800
Speaker 3: need to plug my device.

990
00:51:50,080 --> 00:51:53,200
Speaker 4: It's also like more absurd because like Microsoft and Google

991
00:51:53,400 --> 00:51:57,279
Speaker 4: are some of the worst emitters because of their AI operations. Yeah, so,

992
00:51:57,480 --> 00:51:59,120
Speaker 4: like the fact that he's gonna march out here and

993
00:51:59,120 --> 00:52:00,640
Speaker 4: be like, no, we actually did. Don't down on my

994
00:52:00,719 --> 00:52:04,000
Speaker 4: earth fucking technology that might save you a couple bucks

995
00:52:04,040 --> 00:52:07,400
Speaker 4: on your website designful mouse meat dot com like that,

996
00:52:07,920 --> 00:52:10,680
Speaker 4: then it's worth it to just accelerate earth death, right.

997
00:52:11,080 --> 00:52:15,760
Speaker 3: Yeah no, no, no, no, no no no. Yeah. Turns

998
00:52:15,800 --> 00:52:19,680
Speaker 3: out like the Tony Stark two thousand and eight model

999
00:52:19,840 --> 00:52:25,080
Speaker 3: of like the tech utopia will save us was exactly wrong.

1000
00:52:25,400 --> 00:52:28,520
Speaker 3: They're going to kill us all to make themselves richer.

1001
00:52:28,719 --> 00:52:30,919
Speaker 3: So hey, but they get richer, they get So that's

1002
00:52:30,960 --> 00:52:33,280
Speaker 3: one thing to point out, and that's a really good point, miles.

1003
00:52:33,320 --> 00:52:34,200
Speaker 3: They will get richer.

1004
00:52:34,320 --> 00:52:36,560
Speaker 4: Yeah so, and guess what, you don't need to be

1005
00:52:36,600 --> 00:52:39,000
Speaker 4: a rich man to take care of take advantage of

1006
00:52:39,040 --> 00:52:41,200
Speaker 4: these deals. We got to mouse meat dot com Carbo's

1007
00:52:41,200 --> 00:52:43,759
Speaker 4: mouse meat hut. Oh yeah, you get forty pounds a

1008
00:52:43,840 --> 00:52:45,200
Speaker 4: mouse meat for twenty eight dollars.

1009
00:52:45,320 --> 00:52:48,400
Speaker 3: It's just gonna be them surviving, like tech billionaire surviving.

1010
00:52:48,440 --> 00:52:50,480
Speaker 3: And then James Carville like up to his eyes in

1011
00:52:50,520 --> 00:52:52,359
Speaker 3: a bog just like looking at them.

1012
00:52:52,560 --> 00:52:56,200
Speaker 4: Oh, Carvill will survive. He's like a cockroach. I'm convinced

1013
00:52:56,520 --> 00:52:58,440
Speaker 4: with that little squid beak he has in the back

1014
00:52:58,480 --> 00:52:59,320
Speaker 4: of his throat, he'll.

1015
00:52:59,520 --> 00:53:00,000
Speaker 3: He'll be okay.

1016
00:53:00,520 --> 00:53:03,600
Speaker 2: Well, he's already five hundred years old, so it's what's

1017
00:53:03,640 --> 00:53:09,560
Speaker 2: going to take him out? Like they call me, he

1018
00:53:10,320 --> 00:53:10,960
Speaker 2: met shortage.

1019
00:53:11,360 --> 00:53:13,960
Speaker 3: Yeah, you know, scorpions like don't can live their whole

1020
00:53:14,000 --> 00:53:17,439
Speaker 3: life without drinking any water. Like they just require zero

1021
00:53:18,080 --> 00:53:21,680
Speaker 3: moisture from eating. Yeah, I think they must from eating

1022
00:53:21,880 --> 00:53:26,520
Speaker 3: or like intergenerationally. I don't know intergenerational hydration, because there's

1023
00:53:26,600 --> 00:53:29,320
Speaker 3: just like born in the desert. They have to be

1024
00:53:29,480 --> 00:53:32,600
Speaker 3: like built to survive without much moisture. But I think

1025
00:53:32,680 --> 00:53:36,279
Speaker 3: Carville also similar. Oh yeah, he looks dry as fun.

1026
00:53:36,320 --> 00:53:41,240
Speaker 3: He looks like beef jerky the person. Well, Blake Wexler,

1027
00:53:42,120 --> 00:53:44,880
Speaker 3: what a pleasure having you on the daily, like I

1028
00:53:45,719 --> 00:53:50,320
Speaker 3: having you here in Ohers. I wrote that before I

1029
00:53:50,400 --> 00:53:54,320
Speaker 3: realized you were gonna bail here. Such a nice zoom

1030
00:53:54,800 --> 00:53:57,640
Speaker 3: call with us, not Blake, It's always great to have you.

1031
00:53:57,719 --> 00:54:00,719
Speaker 3: How are you doing? Uh, how's everyone doing? How's everyone else?

1032
00:54:02,560 --> 00:54:07,359
Speaker 3: Just kidding? Chut jesus, how's everybody doing? Oh? Have you accepted? Heart?

1033
00:54:07,560 --> 00:54:11,560
Speaker 4: Does he give discounts they carbled because I'm not interested.

1034
00:54:12,000 --> 00:54:18,240
Speaker 4: Enter code Jesus Fucking Christ sixteen mice. Enter cold Christ

1035
00:54:18,320 --> 00:54:20,480
Speaker 4: on the Cross for you to get a better discount

1036
00:54:20,520 --> 00:54:22,800
Speaker 4: of forty pounds of mice meat for fourteen dollars.

1037
00:54:25,520 --> 00:54:27,840
Speaker 3: We really need to move these units. We are not.

1038
00:54:28,360 --> 00:54:31,080
Speaker 4: Yeah, I should have realized, James, I didn't realize you

1039
00:54:31,160 --> 00:54:34,080
Speaker 4: had to refrigerate, going well, yeah, yeah, yeah, so this

1040
00:54:34,200 --> 00:54:34,839
Speaker 4: sooner the better.

1041
00:54:35,520 --> 00:54:38,880
Speaker 3: Are spoiling at a rapid rate. I would say that

1042
00:54:39,040 --> 00:54:41,640
Speaker 3: they are feted. I think he's the word that defense

1043
00:54:42,000 --> 00:54:47,080
Speaker 3: hydrated male's meat, not on purpose. Uh blake? Where can

1044
00:54:47,120 --> 00:54:48,320
Speaker 3: people find you? Follow you?

1045
00:54:48,760 --> 00:54:51,160
Speaker 2: People can find me if you're in Brooklyn, if you're

1046
00:54:51,200 --> 00:54:54,879
Speaker 2: in New York at all. This Saturday, October twenty sixth,

1047
00:54:55,000 --> 00:54:58,279
Speaker 2: I'm hosting a show at Strong Rope Brewery and Gowanas.

1048
00:54:58,680 --> 00:55:01,120
Speaker 2: It's an awesome lineup. I picked the lineup. I'm hosting it.

1049
00:55:01,600 --> 00:55:04,439
Speaker 2: I've done a show there a couple times. Gang people

1050
00:55:04,560 --> 00:55:07,279
Speaker 2: have come out, So if you're in New York free,

1051
00:55:07,560 --> 00:55:10,600
Speaker 2: their tickets are free. Suggested donation to the comics at

1052
00:55:10,640 --> 00:55:13,359
Speaker 2: the show. But yeah, that's Saturday, October twenty six Strong

1053
00:55:13,440 --> 00:55:18,680
Speaker 2: Rope Brewery at eight pm. And then November first, Boston

1054
00:55:18,960 --> 00:55:21,120
Speaker 2: doing stand up in Boston, and then December fifth Helium

1055
00:55:21,120 --> 00:55:23,919
Speaker 2: Comedy Club in Philadelphia. So you can find all those

1056
00:55:24,080 --> 00:55:27,560
Speaker 2: tickets in my bio at Blake Lexlor social media.

1057
00:55:28,040 --> 00:55:30,080
Speaker 3: All right, and is there a working media Blake that

1058
00:55:30,120 --> 00:55:30,800
Speaker 3: you've been enjoying?

1059
00:55:31,400 --> 00:55:34,160
Speaker 2: There is, So there's a I guess, I don't know

1060
00:55:34,160 --> 00:55:37,040
Speaker 2: if it's on TikTok or. You know, I have good news.

1061
00:55:37,080 --> 00:55:40,880
Speaker 2: There is one, and it's on TikTok or and or Instagram.

1062
00:55:41,000 --> 00:55:46,399
Speaker 2: It's Seanick god Kindy has a show called Bodego Run

1063
00:55:46,520 --> 00:55:51,279
Speaker 2: Show and basically they strap a huge go pro to

1064
00:55:51,400 --> 00:55:54,719
Speaker 2: someone's head and send them into a bodego with a

1065
00:55:54,840 --> 00:55:57,239
Speaker 2: list of stuff to get in like X amount of time,

1066
00:55:57,520 --> 00:55:59,799
Speaker 2: and if they can do it, they get one hundred bucks.

1067
00:56:00,160 --> 00:56:02,840
Speaker 2: And the panic that comes over these people when like

1068
00:56:03,360 --> 00:56:07,000
Speaker 2: and also the visual of like the GoPro coming off

1069
00:56:07,040 --> 00:56:10,360
Speaker 2: a pole pointed at their face is so funny watching

1070
00:56:10,440 --> 00:56:12,960
Speaker 2: them run around a very tight odega. So it's it's

1071
00:56:13,000 --> 00:56:15,439
Speaker 2: a really funny show. So it's called a Bodega run Show.

1072
00:56:15,800 --> 00:56:18,040
Speaker 2: And yeah, it's on social media.

1073
00:56:18,600 --> 00:56:22,120
Speaker 3: So that's happening while he's on stage and they're just

1074
00:56:22,239 --> 00:56:24,680
Speaker 3: like kind of taught you your watch.

1075
00:56:25,960 --> 00:56:28,360
Speaker 2: So it's not not even stand up. He's just like outside,

1076
00:56:28,440 --> 00:56:31,040
Speaker 2: so like, yeah, yeah, they shoot. They're shooting him outside

1077
00:56:31,080 --> 00:56:34,359
Speaker 2: the outside of the bodega, and these people run through

1078
00:56:34,400 --> 00:56:36,640
Speaker 2: the aisles trying to grab stuff. That's great, but yeah,

1079
00:56:36,680 --> 00:56:40,040
Speaker 2: it's very it's very funny market sweep for the for

1080
00:56:40,160 --> 00:56:43,560
Speaker 2: the go pro generation. Yes, I'm ninety years old.

1081
00:56:44,200 --> 00:56:46,959
Speaker 3: Amazing Miles. Where can people find you as their worker

1082
00:56:47,000 --> 00:56:48,080
Speaker 3: media you've been enjoying.

1083
00:56:48,239 --> 00:56:50,560
Speaker 1: Yeah, you can find me on Twitter and Instagram at

1084
00:56:50,719 --> 00:56:53,840
Speaker 1: Miles of Gray. You can find Jack and I on

1085
00:56:53,920 --> 00:56:59,520
Speaker 1: the basketball podcasts that you can find me also talking

1086
00:56:59,600 --> 00:57:03,480
Speaker 1: ninety day four fiance Jack. I don't want to say,

1087
00:57:03,520 --> 00:57:05,800
Speaker 1: oh yep, we were gonna do the same we always

1088
00:57:05,880 --> 00:57:07,280
Speaker 1: wanted the John.

1089
00:57:07,120 --> 00:57:10,840
Speaker 3: Wickwell, I gotta I got no, I got no do

1090
00:57:10,880 --> 00:57:15,719
Speaker 3: it on three one two three jo John A guy.

1091
00:57:17,760 --> 00:57:17,800
Speaker 4: No.

1092
00:57:17,960 --> 00:57:20,560
Speaker 1: This one is great because since we're like in the

1093
00:57:20,640 --> 00:57:22,960
Speaker 1: home stretch of the election, we just have more and

1094
00:57:23,080 --> 00:57:25,680
Speaker 1: more of these like weird fake anecdotes and like I

1095
00:57:25,800 --> 00:57:26,000
Speaker 1: was in.

1096
00:57:26,040 --> 00:57:29,320
Speaker 3: A liberal coffee shop and was shocked at what I overheard.

1097
00:57:29,520 --> 00:57:31,680
Speaker 4: They all want Trump kind of shit. So this is

1098
00:57:31,720 --> 00:57:34,680
Speaker 4: a new one from at Kylie Jane Kreamer, don't go

1099
00:57:34,800 --> 00:57:38,280
Speaker 4: there because this is just a sad, uninformed person. But

1100
00:57:38,840 --> 00:57:42,600
Speaker 4: this is like clearly a fake, made up interaction. And

1101
00:57:42,720 --> 00:57:45,880
Speaker 4: first of all, this was quote tweeted by Evan loves

1102
00:57:45,960 --> 00:57:48,440
Speaker 4: Wharf at e s J yes J yes J and said,

1103
00:57:48,480 --> 00:57:50,680
Speaker 4: this woman has never spoken to a black person in

1104
00:57:50,760 --> 00:57:53,560
Speaker 4: her life, and this is what the interaction she said happened.

1105
00:57:53,680 --> 00:57:55,920
Speaker 3: After watching Donald Trump work at McDonald's. I had to

1106
00:57:56,040 --> 00:57:58,400
Speaker 3: have some eighteen year old black male met me at

1107
00:57:58,440 --> 00:58:00,640
Speaker 3: the drive through window. I told him how Trump worked

1108
00:58:00,680 --> 00:58:03,160
Speaker 3: at McDonald's today, and I had to get some fries

1109
00:58:03,400 --> 00:58:09,160
Speaker 3: him for real. Me yes, in Pennsylvania. Him. Inspiration. That's

1110
00:58:09,200 --> 00:58:12,560
Speaker 3: why I'm voting for him. Me, me too. Him. I

1111
00:58:12,640 --> 00:58:14,600
Speaker 3: can't wait to look it up. It's on the news.

1112
00:58:14,840 --> 00:58:17,640
Speaker 3: Me yep, all over X two. What do you mean

1113
00:58:17,720 --> 00:58:19,160
Speaker 3: by inspiration? Him?

1114
00:58:19,920 --> 00:58:22,640
Speaker 1: He's just like me and maybe I'll be president one

1115
00:58:22,720 --> 00:58:26,080
Speaker 1: day laughing emoji. I am now eighteen, so I get

1116
00:58:26,120 --> 00:58:28,680
Speaker 1: to vote for him. My whole family is too. Media

1117
00:58:28,720 --> 00:58:30,400
Speaker 1: won't tell you that because I'm black.

1118
00:58:30,560 --> 00:58:34,160
Speaker 3: Smirky emoji me love it. Keep working hard and maybe

1119
00:58:34,200 --> 00:58:37,160
Speaker 3: I'll get to vote for vote for you one day too. Him.

1120
00:58:37,560 --> 00:58:40,960
Speaker 3: Maga okay, and that all that all really has swe

1121
00:58:41,120 --> 00:58:44,760
Speaker 3: conversation that happened, that's just a real conversation. Was the

1122
00:58:45,200 --> 00:58:47,520
Speaker 3: when he said he may be president one day. Was

1123
00:58:47,600 --> 00:58:51,560
Speaker 3: the crying, laughing face her, Oh that's so funny.

1124
00:58:52,640 --> 00:58:59,000
Speaker 4: Yeah, okay, yeah, Jesus, He's like, okay, you know, don't

1125
00:58:59,120 --> 00:59:01,160
Speaker 4: just don't get too close to the sure thing.

1126
00:59:01,320 --> 00:59:04,160
Speaker 3: Pal. All right. A couple of tweets. I've been enjoy

1127
00:59:04,280 --> 00:59:08,720
Speaker 3: Melody Anti at Anti Material Girl tweeted at the Techno

1128
00:59:08,880 --> 00:59:12,000
Speaker 3: Rave Yeah, John Wick shot a guy I'm still dancing,

1129
00:59:12,440 --> 00:59:14,800
Speaker 3: not gonna let it ruin my night. He keeps shooting

1130
00:59:14,840 --> 00:59:16,840
Speaker 3: along to the beat. It's actually kind of making the

1131
00:59:16,920 --> 00:59:25,000
Speaker 3: whole experience cooler. And then Jamee at Klugan's on Twitter tweeted,

1132
00:59:25,640 --> 00:59:28,640
Speaker 3: silly Puddy is just putty to a sick fuck like me.

1133
00:59:32,480 --> 00:59:33,120
Speaker 3: I really liked this.

1134
00:59:33,960 --> 00:59:34,080
Speaker 1: Uh.

1135
00:59:34,280 --> 00:59:37,960
Speaker 3: You can find me on Twitter at Jack Underscore Obrien.

1136
00:59:38,080 --> 00:59:41,160
Speaker 3: You can find us on Twitter at daily Zeikeeist. We're

1137
00:59:41,160 --> 00:59:43,280
Speaker 3: at the Daily zeike Geist on Instagram. We have a

1138
00:59:43,320 --> 00:59:46,320
Speaker 3: Facebook fanpage on a website, Daily zeitke guist dot com,

1139
00:59:46,600 --> 00:59:49,760
Speaker 3: where we post our episodes and our foot no no where.

1140
00:59:49,800 --> 00:59:51,479
Speaker 3: We look off to the information that we talked about

1141
00:59:51,520 --> 00:59:54,240
Speaker 3: in today's episode, as well as a song that we

1142
00:59:54,360 --> 00:59:57,160
Speaker 3: think you might enjoy. Miles, what song do you think

1143
00:59:57,160 --> 00:59:57,880
Speaker 3: people might enjoy it?

1144
00:59:57,960 --> 01:00:00,880
Speaker 1: I think you are going to like this track called

1145
01:00:01,040 --> 01:00:04,160
Speaker 1: Magic by Strong Boy st r O n G b

1146
01:00:04,360 --> 01:00:07,080
Speaker 1: oh I. And it kind of just sounds like, uh,

1147
01:00:07,480 --> 01:00:10,040
Speaker 1: like modern yacht rock, you know what I mean. Like

1148
01:00:10,160 --> 01:00:12,040
Speaker 1: it's got yacht rock vibes, but like in a very

1149
01:00:12,480 --> 01:00:15,640
Speaker 1: twenty twenties kind of thing. So it's easy listening. Got

1150
01:00:15,680 --> 01:00:17,240
Speaker 1: a little bit of flavor to it, but not too

1151
01:00:17,360 --> 01:00:20,800
Speaker 1: much that it takes over your consciousness. It's good wallpaper music,

1152
01:00:20,880 --> 01:00:22,200
Speaker 1: you know, to have on in the background.

1153
01:00:22,280 --> 01:00:25,280
Speaker 3: So this is Magic. Bye Strong Boy? All right. We

1154
01:00:25,360 --> 01:00:27,880
Speaker 3: will link off to that in the footnote. The daily

1155
01:00:28,000 --> 01:00:29,920
Speaker 3: is I guess is the production of iHeartRadio. For more

1156
01:00:30,000 --> 01:00:32,160
Speaker 3: podcasts from my Heart Radio is the iHeart Radio Wrap,

1157
01:00:32,160 --> 01:00:34,400
Speaker 3: Apple podcast or wherever you listen to your favorite shows.

1158
01:00:34,440 --> 01:00:37,160
Speaker 3: That is gonna do it for us this morning. But

1159
01:00:37,240 --> 01:00:39,200
Speaker 3: we are back this afternoon to tell you what is

1160
01:00:39,240 --> 01:00:41,240
Speaker 3: trending and we will talk to you all then. Bye

1161
01:00:41,320 --> 01:00:42,880
Speaker 3: bye bye bye.

1162
01:00:43,000 --> 01:00:43,120
Speaker 4: Ron