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Speaker 1: That's pretty terrified. Yeah, it was scary though. Were you

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Speaker 1: wearing clothes you wanted to die in?

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Speaker 2: No, that's that's that I think about that.

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Speaker 3: I was a nice outfit, But no, I wouldn't say

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Speaker 3: were you in your show out?

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Speaker 1: Yeah?

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Speaker 3: I was okay, Yeah, you would have been been all right.

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Speaker 1: I'd have been all right.

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Speaker 3: We died in chrome heart.

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Speaker 1: Well doesn't choice? Yeah damn you wanted. Yeah, but you're

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Speaker 1: killing it right now, right guitar. Twenty years from now,

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Speaker 1: they're gonna have to be like that was that ship?

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Speaker 4: You know?

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Speaker 1: Yeah? It was.

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Speaker 5: It was.

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Speaker 3: It went away for a little bit, then it came back.

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Speaker 1: What he was wearing it he like dying in one

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Speaker 1: of those taughts.

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Speaker 6: Listen, you weren't there when Soldier Boy told him, Oh god,

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Speaker 6: a Kuala bears are racists.

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Speaker 1: Money turn stuff.

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Speaker 7: I can't tell.

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Speaker 1: Me shell boying Boying Boy. There it is. There is.

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Speaker 8: Ladies and gentlemen, little mama's and gentiles alike. Welcome to

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Speaker 8: another phenomenal episode of My Mama Told.

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Speaker 9: Me Podcasts, where we dive deep into the pockets of

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Speaker 9: black conspiracy theory and.

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Speaker 8: Don't make me say a bitch. You know, we ain't

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Speaker 8: proven nothing.

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Speaker 1: We don't even care about you. It's not an investment

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Speaker 1: piece for us.

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Speaker 2: We're selling all of your data now, you know.

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Speaker 1: Now it's out in the open. That's what I don't

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Speaker 1: know if you want. That's the last episode where we

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Speaker 1: talked touched on it. We've gone into business for ourselves.

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Speaker 8: Those fine gentlemen at Google and the rest came to

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Speaker 8: us and they said we want your data, and we

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Speaker 8: said yes.

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Speaker 1: And we said the black data is powerful.

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Speaker 8: We said republican to wear data.

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Speaker 1: To Seriously, they'll give us your data. You know what.

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Speaker 8: I have been thinking about this for for a little

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Speaker 8: bit that I don't think that politicians should be allowed

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Speaker 8: to wear suits anymore. WHOA I think it's I think otherwise.

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Speaker 8: I think we can start exploring tracks suit. But I

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Speaker 8: think you should just have to dress what you actually are.

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Speaker 1: I like that.

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Speaker 2: It's like I like that because like, have you ever

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Speaker 2: gone out with somebody that you work with and then

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Speaker 2: you're like, oh shit.

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Speaker 1: You're a jugglo. I didn't even because we were at

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Speaker 1: work the whole time.

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Speaker 8: I understand we're allowing people to cover up too much

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Speaker 8: of who the fuck.

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Speaker 1: They are now, like iron cross tattoos and yeah.

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Speaker 8: And like we should be able to see all that

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Speaker 8: and then make a choice about like what you truly

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Speaker 8: represent for the goodness of our our our well being

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Speaker 8: whatever the fuck right, Like it's nasty that you get

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Speaker 8: to put on this fucking uniform that that positives itself.

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Speaker 8: Is like I'm a good person, I'm strong, i am

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Speaker 8: well put together. No you're not, You're nasty.

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Speaker 3: I would argue that keeping the suit on is weirdly

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Speaker 3: more reflective of what they do than wearing something else.

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Speaker 3: If they wear something else and it shows you who

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Speaker 3: they truly are, right John Fetterman, wearing shorts, you're like, yeah,

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Speaker 3: of course, right, But when you wear the suit, you're

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Speaker 3: like all of this is for show, like it for

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Speaker 3: me instead of being like this, I'm like, oh this

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Speaker 3: is It's like to me, it's no different than like

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Speaker 3: dressing like Batman, where I'm like, this ain't none of

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Speaker 3: this is real.

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Speaker 1: But right, let's get closer to like what your essence is.

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Speaker 3: No, I know, and I'm saying it. On the opposite

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Speaker 3: is that I like that they do it because it

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Speaker 3: informs me immediately, Like if I see someone wearing a suit,

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Speaker 3: I'm just like, oh, you're a pretend big boy. It's

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Speaker 3: just like when you see someone wearing like holding a briefcase,

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Speaker 3: you're like, there's no body.

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Speaker 1: But I think you're smoking.

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Speaker 8: I think you're speaking from a position of like a

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Speaker 8: person who is who has moved beyond looking at the

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Speaker 8: man on the TV and going, we got.

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Speaker 1: To do this for the dummies. Yeah, you got to

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Speaker 1: do it for the dumb dumbs.

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Speaker 8: And the dumb dumbs deserve to see Trump in that

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Speaker 8: polo outfit more than inside of a suit.

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Speaker 2: I would love to see how Trump would dress just

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Speaker 2: of his own accord, but even without societal sin, like

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Speaker 2: if it wasn't like if he because you know, he's

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Speaker 2: so entrenched in being a rich white man, he knows what.

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Speaker 2: But like if I want to see what he wants

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Speaker 2: to wear.

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Speaker 3: Like the idea it would like.

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Speaker 2: To Trump is wearing dresses like that horny coyote in

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Speaker 2: them cartoons.

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Speaker 1: So it's still a suit, right yellow.

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Speaker 8: Yeah, that actually would be flying if he was just

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Speaker 8: like no, I dressed like a designing woman.

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Speaker 1: I got shoulder pads.

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Speaker 3: Yeah, that's very fun. I feel like I don't know

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Speaker 3: I would I genuinely I would love to see, like

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Speaker 3: like if everyone still wore suits, but like George Santos

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Speaker 3: got to dress the way he will. Yeah, like it's

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Speaker 3: a balance, right again, you have John Fetterman and Jinko shorts,

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Speaker 3: and then you have George Santos in like a Sheene Hall.

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Speaker 1: In gloves like a virgin. Okay, okay, a mess cumber

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Speaker 1: beat a cumber. Do worry that it would lead us

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Speaker 1: to keep the hot ones would win even more like

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Speaker 1: he would like because now you're wearing whatever you want.

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Speaker 2: I think sexy will outsell. Yeah, yeah, like I think

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Speaker 2: some people don't lose anything. I think AOC stays where

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Speaker 2: she is, right.

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Speaker 3: Yeah, but I think she would put up bigger numbers.

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Speaker 1: Put bigger numbers. She could be sexy. I saw on

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Speaker 1: the plane one time.

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Speaker 3: I just in a world where like every like porn

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Speaker 3: hub surch is just like angry Latino, which is just

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Speaker 3: AOC coded by the way, you know what I mean.

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Speaker 3: If you look at like pornhubes in in states with

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Speaker 3: the harshest like trans laws, trans porn is the number

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Speaker 3: one watch things. No, I mean it's I think it

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Speaker 3: may be docile well meaning trans.

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Speaker 1: Transit to me, but to other people. Just the fun

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Speaker 1: up about who was he.

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Speaker 2: Trans it can keep a secret but not secrets.

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Speaker 1: California fans who.

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Speaker 3: Looks at you from across the room and you leave

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Speaker 3: it at the same time but no suspects anything. Yeah,

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Speaker 3: Like I think I think she would do bigger numbers.

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Speaker 3: I really do. I do.

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Speaker 8: But I also think that, like we as a society

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Speaker 8: don't actually really want sexy politicians, Like we've shown that

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Speaker 8: over and over again. We don't really have a lot

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Speaker 8: of evidence of you.

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Speaker 1: I don't think we're towards.

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Speaker 8: That probably, but I do I have some optimism that

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Speaker 8: like the types of people who would want to play

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Speaker 8: over there are still specifically not the hot ones.

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Speaker 3: I mean like okay, like look like uh, Trump's the

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Speaker 3: outline or whatever whatever, But like you know, Obama, I

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Speaker 3: really feel like not sexiest man alive. But I feel

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Speaker 3: like we were like, oh that that is a good looking,

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Speaker 3: good looking your JFK's, your Bill Clinton's. I think I

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Speaker 3: think we were timeline. You have to shift the timeline.

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Speaker 3: You have to shift the to shift the timeline into

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Speaker 3: what was I think we are on a.

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Speaker 1: Hot run Bush included.

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Speaker 2: I think, but w one isn't our cup of tea.

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Speaker 2: I don't think that's an ugly man. I think that's

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Speaker 2: like a fairly attractive man. Bush one, bush one, No,

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Speaker 2: but he would not. I think he was still pretty good.

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Speaker 2: I think like we gotta go back to like who

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Speaker 2: was the last ugly one? Carter didn't have a great face,

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Speaker 2: but he was. That's an outlier too though.

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Speaker 1: He was a real fireside chat. Yeah.

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Speaker 3: He had like very southern big boy like I can

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Speaker 3: care for you. You felt like he could get cheeks right.

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Speaker 3: Yeah he was clapping, so I mean so Harter was clapping.

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Speaker 1: Bro, Yeah, come on? Was a football player.

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Speaker 8: Yeah, Ronald Reagan was a movie star.

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Speaker 1: God damn did his wife have a mouth on her?

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Speaker 1: Come on, we put her in the hall.

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Speaker 3: We gotta respect. You gotta respect. Also the fact that

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Speaker 3: he's the throat. His forehead did not fall off after

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Speaker 3: that photo. It's crazy. You gotta respect it though, like,

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Speaker 3: oh no, man, we we why not marry a throat?

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Speaker 3: It still goes still.

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Speaker 8: You know what I'm saying, I'm gonnarry, I'm gonna Mary

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Speaker 8: the best.

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Speaker 3: Yeah, okay, I'm gonna get out of here.

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Speaker 1: I guess.

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Speaker 8: That is funny that that's the whole I actually did

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Speaker 8: not think about how that these are our scam artists

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Speaker 8: of more minor notes.

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Speaker 1: These are robots.

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Speaker 8: Absolutely, this is so well curated.

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Speaker 1: Yeah, oh my goodness.

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Speaker 3: I will say I have a question about the Steve

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Speaker 3: Harvey thing. Absolutely because it's a flag, good American flag, clearly, Yeah,

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Speaker 3: so did we did we add the mustache more in

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Speaker 3: the sense that just like we wanted to keep the

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Speaker 3: thematic of like mustache teeth lip because like technically the

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Speaker 3: flag is just red white, red white, right, So, like, I.

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Speaker 8: Think it's an important question you're asking. I think you

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Speaker 8: don't fully get the effect of Steve Harvey unless you

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Speaker 8: have top lip.

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Speaker 1: And yeah, it still works. It still works, That's true.

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Speaker 8: It's a beautiful piece of art. And we couldn't be

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Speaker 8: more proud of it. Yeah, we couldn't be more probably

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Speaker 8: more proud. More problem collection. This is a fine collection

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Speaker 8: of art.

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Speaker 1: That's actually our country's flag. This is a sovereign state.

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Speaker 3: Yeah, who am I a challenge?

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Speaker 8: And we do have this sovereign state for another hour

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Speaker 8: and a half yea, until.

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Speaker 1: The next one. It puts over the stradio lab after.

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Speaker 8: Our guess today is a dear friend, one of the

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Speaker 8: funniest people on the planet. You know them from so

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Speaker 8: many things. Most importantly, his film The Gutter is on Hulu.

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Speaker 1: Watch it.

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Speaker 3: I'm gonna stop that I would argue status on this podcast.

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Speaker 3: First guest ever, that's true, and every era, the first era,

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Speaker 3: the first guest ever of this podcast.

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Speaker 1: That's fair.

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Speaker 8: I'm saying, oh, g Triple, you want to go on

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Speaker 8: the goat wall, you would have to go over here, red.

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Speaker 1: That is where we put you.

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Speaker 3: Okay, you know what, Okay, all right, I'll do it.

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Speaker 8: I'll do it, and we are going to put a

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Speaker 8: little red string connecting Nacty to you to Puffy.

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Speaker 3: You know, before you added, before you said the d

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Speaker 3: in red, I thought you would say a little rail,

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Speaker 3: And I was like, what.

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Speaker 1: Do I have to do?

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Speaker 3: A little.

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Speaker 1: Brother? Wake up? We all, all of us. We only

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Speaker 1: got the room for ninety minutes. You got to catch up.

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Speaker 8: There's a lesson everybody.

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Speaker 5: Hey, have you ever had a dreams that that you

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Speaker 5: you had you you you could you do you want

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Speaker 5: you you could do so you you do you.

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Speaker 3: You want you want him to do you so much?

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Speaker 5: You could do anything.

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Speaker 3: You know. That's when someone's like explained voting was like

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Speaker 3: explained one good thing in your life to stay at.

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Speaker 10: Them Yeah, that's what I explained, medication.

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Speaker 8: That's why I did it.

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Speaker 1: I thought it would make me. Yeah, it make me

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Speaker 1: do anything with my dogs.

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Speaker 8: We're chilling, man. You came to us with with a

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Speaker 8: few conspiracy the h and we're gonna do it. We're

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Speaker 8: gonna slide down a line of conspiracies and we'll see

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Speaker 8: what the conversation takes us. Uh you said, Uh, my

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Speaker 8: mama told me.

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Speaker 3: Dogs can sense racism.

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Speaker 1: Tell us about that.

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Speaker 3: It's it's I think there's a little bit of a

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Speaker 3: missing or because I think that it's it's sensing it.

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Speaker 3: But I also think that dogs are the ultimate racism cancellor,

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Speaker 3: if you will, racism neutral. Yes, yeah, yeah, yeah, I.

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Speaker 1: Feel like when you're out with them.

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Speaker 3: But I also feel that, like I mean, it's sincere

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Speaker 3: like now because like look, yes, like white people with

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Speaker 3: pit bulls are the closest to regular black people.

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Speaker 2: Okay, so you know what's crazy. My heart wanted to

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Speaker 2: refute it, and then my head did. Look at the

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Speaker 2: timeline of my life, the rooms I've been in. I

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Speaker 2: think that's pretty correct.

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Speaker 3: Yeah, And I think the thing that we keep doing

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Speaker 3: is we keep building city planning, neighborhoods, around income, right, location,

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Speaker 3: all this stuff. If we sincerely created communities around dogs.

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Speaker 8: Yeah, relationship to pit bulls, you might belong in this

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Speaker 8: side of interesting.

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Speaker 2: It's almost like pit bulls take them out of the

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Speaker 2: game the way that other breeds of dogs put us

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Speaker 2: in the game, correct, right, and they self, but they

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Speaker 2: do it themselves. Yeah, that's the vol you have.

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Speaker 1: Become a pit bull man. You know what they should

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Speaker 1: do is pit bull stings for neighborhoods. We're giving away

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Speaker 1: free pit bulls for white people, and we round them

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Speaker 1: all up cameras.

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Speaker 3: But genuinely so, first of all, I have three dogs.

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Speaker 3: I need to make this clear. I have a little

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Speaker 3: space annual terrier mix. Then I have a German Shepherd

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Speaker 3: husky mix, and I have our regular Alaskan husky who

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Speaker 3: when I'm with the.

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Speaker 8: These others, now, I only knew you to have the

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Speaker 8: little dog where the big dogs come from.

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Speaker 3: So the Husky shepherd mix tragically fires in Los Angeles

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Speaker 3: earlier this year. My wife was like, we were always

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Speaker 3: talking about getting second dog for our first one, and

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Speaker 3: then she was like, we need to do it now,

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Speaker 3: like everyone's setting dogs on fire. And I was like,

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Speaker 3: I don't think.

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Speaker 1: Everyone is.

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Speaker 9: There's a crazy reason to set your dog on fire.

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Speaker 9: You know how much insurance money we could get for

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Speaker 9: this dog?

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Speaker 3: So we got him. Then and then the third dog,

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Speaker 3: my god sister. I almost set her full name and

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Speaker 3: addressed godsister. Her family member just couldn't care for their

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Speaker 3: dog anymore. So we're like, oh, well, foster this one.

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Speaker 3: But then they got along so well that we.

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Speaker 1: Foster. You know, yeah.

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Speaker 3: You can stay. Yeah. So it's it's it's here's the

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Speaker 3: thing I do think, and I you know, I just

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Speaker 3: you know, dog, you get a dog or you a

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Speaker 3: dog for okay, and you don't you don't.

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Speaker 11: My wife is not an animal person. Yeah, cold cold, Yeah,

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Speaker 11: it's all like, here's the thing. I weirdly get it.

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Speaker 11: But then I also like it's I don't know, it's

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Speaker 11: just so beyond me. But then I'm like, oh, I'm

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Speaker 11: kind of reverse where it's like I understand having forty dogs.

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Speaker 3: It was like, here's a child right now, I'd be like,

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Speaker 3: you need to jump off a bridge.

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Speaker 12: Yeah, even coming to me kids, I think she very

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Speaker 12: much is like the exact oppa, you know, where she's like,

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Speaker 12: I can care for children at all times if you

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Speaker 12: put a human being in front of me, they will

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Speaker 12: find love here.

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Speaker 3: And an animal I feel nothing, Okay, but oh wait,

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Speaker 3: let me.

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Speaker 1: My heart is warm thing. I used to be really

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Speaker 1: closed off to animal.

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Speaker 3: Yeah, and then I was never closed off, but I

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Speaker 3: was like, you know, we had dogs growing up, you

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Speaker 3: know what I'm saying. But I was always like, my

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Speaker 3: mindset was always if a dog is in front of me,

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Speaker 3: I will love it endlessly, any dog. But the moment

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Speaker 3: a dog is not in my purview, it's it's almost

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Speaker 3: as if dogs don't exist. Like it's just like it's

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Speaker 3: just there's just no.

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Speaker 1: You ever get chased by dogs.

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Speaker 3: And I'm not even like in the ghetto you got

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Speaker 3: to spot, yes, but just.

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Speaker 2: Out these dogs would get out and they would chase you.

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Speaker 2: And that I don't think that happens nearly as much.

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Speaker 1: When I was you always knew the house with dogs.

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Speaker 3: Yeah. He was five or six. Me and my cousin

321
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Speaker 3: Rashad were walking down the street and a dalmation by

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Speaker 3: the way, a dalmation off the fence towards us, bit

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Speaker 3: my cousin's face off, just snatched it off.

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Speaker 1: I don't know what it.

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Speaker 3: Is objectively funnier that his name is Rashad getting in

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Speaker 3: the face is a better crazy Derek getting bit so

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Speaker 3: a dog person. But I will say, because your white,

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Speaker 3: your your wife's mother is a black woman, I find that,

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Speaker 3: like I feel like this is this is a take

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Speaker 3: by the way I'm listening. I feel like black dudes,

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Speaker 3: we're more open to animals than black women. On the truth,

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Speaker 3: there's something that like, because my most of my family

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Speaker 3: is like like your wife, where like they like see

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Speaker 3: the dogs and they're like, okay, right, they're like all

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Speaker 3: my cousins and my uncles spit my mouth or whatever.

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Speaker 3: It's very interesting.

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Speaker 2: People can soften though, because like I know, so I

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Speaker 2: didn't have a dog until high school. Okay, my mom

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Speaker 2: very African. I don't think she ever looked at that

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Speaker 2: dog that we had in high school. Yeah, I think

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Speaker 2: she looked at it. I don't think I don't recall

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Speaker 2: her ever touching.

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Speaker 3: It right right or doing it this season. Yeah, come on, man,

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Speaker 3: I'm sorry, I just look.

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Speaker 1: Having we're having a good time. We are, we're doing

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Speaker 1: eating dog for the Spell.

347
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Speaker 3: For the spell.

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Speaker 13: She was gonna come on, man, I'm just just I

349
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Speaker 13: just don't think I'm trying to connect with your name is, yes, sir,

350
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Speaker 13: we're supposed to be against him.

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Speaker 1: I don't know, you know, I think Buddy knows. They theo.

352
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Speaker 2: In my mom's old age, she's softened to animals in

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Speaker 2: a way that I never had seen come. She likes stella,

354
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Speaker 2: Like she comes to my house now and she's like,

355
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Speaker 2: and I'm like, who is this one it for?

356
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Speaker 1: And nothing happened. She didn't like get a dog in

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Speaker 1: the interim or anything. She just opened up.

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Speaker 8: For a lot of my life, it was always black

359
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Speaker 8: women sort of emphasizing the nastiness of dogs, right, being

360
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Speaker 8: like they're clean, you gotta wash your hands all the

361
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Speaker 8: time around them. And it wasn't until like being around

362
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Speaker 8: like other groups of people were there. People aren't like

363
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Speaker 8: touching a dog and then immediately scrubbing down right right

364
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Speaker 8: right right, just sort of like yeah, that's it's gonna

365
00:21:39,560 --> 00:21:41,000
Speaker 8: lick you, it's do stuff.

366
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Speaker 3: Yeah my mom, my mom did the same thing you did.

367
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Speaker 3: Like we had dogs growing up, but she was always

368
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Speaker 3: just like yeah.

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Speaker 1: I'm like it's not gonna shoot you, you know what

370
00:21:50,720 --> 00:21:51,080
Speaker 1: I'm saying.

371
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Speaker 3: And then now like she like loves our dogs. So weird.

372
00:21:54,640 --> 00:21:57,520
Speaker 3: It's so weird, but yeah, but also the excuse that

373
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Speaker 3: I always hear it's for everyone. This is this is

374
00:22:00,119 --> 00:22:03,600
Speaker 3: particular any winter one group. But they're just like, you know,

375
00:22:03,720 --> 00:22:06,640
Speaker 3: there's so many kids out there without home, Like how

376
00:22:06,680 --> 00:22:09,920
Speaker 3: could I bring in a dog because that's when work. Yeah,

377
00:22:09,960 --> 00:22:12,439
Speaker 3: and I'm also just like then the top forty kids

378
00:22:12,960 --> 00:22:17,080
Speaker 3: like this dog eat its sleep walk it the end,

379
00:22:17,240 --> 00:22:20,680
Speaker 3: like beetting addicted to meth. I'm gonna kill me after

380
00:22:20,720 --> 00:22:21,800
Speaker 3: living in my guest house.

381
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Speaker 1: Not just to steal my alcohol, to teach you to read, Yeah,

382
00:22:26,880 --> 00:22:30,280
Speaker 1: but if I wanted to, I'd be wasting my time.

383
00:22:30,400 --> 00:22:34,160
Speaker 1: But yeah, license out in.

384
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Speaker 14: The most, make it.

385
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Speaker 1: Do it out.

386
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Speaker 3: But but to bring a full circle. Yeah, I do

387
00:22:48,920 --> 00:22:52,679
Speaker 3: believe if communities were and maybe maybe it goes to

388
00:22:52,720 --> 00:22:55,800
Speaker 3: all pets. Maybe there's cat communities maybe, but I do

389
00:22:55,800 --> 00:22:58,520
Speaker 3: don't want to. Here's the thing, I don't have one.

390
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Speaker 1: It's called fortune.

391
00:23:03,760 --> 00:23:06,680
Speaker 3: That's a boy. That's a wild boy. Right there.

392
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Speaker 8: I got two cats, full disclosure, not my idea. Okay,

393
00:23:10,720 --> 00:23:12,920
Speaker 8: what and you should be honest about one of them.

394
00:23:13,040 --> 00:23:15,919
Speaker 8: She got hair now, yeah, he thought he had a

395
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Speaker 8: hairless cat. And it was a hairless cat for a while.

396
00:23:19,680 --> 00:23:21,879
Speaker 2: Yeah, but now she's got like an active amount. I

397
00:23:21,920 --> 00:23:22,679
Speaker 2: don't know what's going on.

398
00:23:22,800 --> 00:23:24,680
Speaker 3: We started molting, I don't.

399
00:23:24,840 --> 00:23:25,600
Speaker 1: It's the opposite.

400
00:23:25,680 --> 00:23:29,399
Speaker 3: It's growing hair, right, but doesn't molting is the is

401
00:23:29,440 --> 00:23:32,840
Speaker 3: the entire pro Yeah, yeah, it's the shedding and then

402
00:23:32,960 --> 00:23:33,600
Speaker 3: really it's.

403
00:23:33,480 --> 00:23:34,119
Speaker 1: The full cycle.

404
00:23:34,200 --> 00:23:37,280
Speaker 2: She came out, she was naked, she came out, she

405
00:23:37,359 --> 00:23:39,480
Speaker 2: was bald. You've seen her, You've seen her in both of.

406
00:23:39,560 --> 00:23:44,080
Speaker 3: Her Remember she was saying you wanted a bald or

407
00:23:44,160 --> 00:23:46,639
Speaker 3: were you? Just like, this is a plus that she's bald.

408
00:23:47,000 --> 00:23:49,400
Speaker 2: The love of my life loves a bald ass cat.

409
00:23:49,640 --> 00:23:51,720
Speaker 2: She bought one in the mountains from a grifter woman.

410
00:23:52,520 --> 00:23:55,119
Speaker 2: We had her for about a year. She was bald.

411
00:23:55,160 --> 00:23:57,479
Speaker 2: We moved back to California in the last three months,

412
00:23:57,880 --> 00:23:59,280
Speaker 2: growing a grippe hair full.

413
00:23:59,119 --> 00:24:02,040
Speaker 1: Head of hair. Know, it's crazy, someth.

414
00:24:03,680 --> 00:24:08,320
Speaker 3: Looks just like you. I was gonna say someone who

415
00:24:08,359 --> 00:24:10,240
Speaker 3: paid a lot of money to get their hair bag.

416
00:24:10,280 --> 00:24:12,960
Speaker 3: I gotta say, I love anything that was bald that

417
00:24:13,040 --> 00:24:13,440
Speaker 3: came out.

418
00:24:15,520 --> 00:24:20,040
Speaker 1: Triumph. You describe it as a miracle.

419
00:24:21,320 --> 00:24:31,960
Speaker 14: It sounds like I thought my next day, Oh God, Isaiah, we.

420
00:24:32,040 --> 00:24:33,040
Speaker 1: Gotta get to work back.

421
00:24:35,320 --> 00:24:37,480
Speaker 2: But I do understand the irony of a bald cat

422
00:24:37,520 --> 00:24:39,200
Speaker 2: being the most cattious cat.

423
00:24:39,320 --> 00:24:43,119
Speaker 1: For a cat person. Yeah, but that was my lady

424
00:24:43,160 --> 00:24:45,320
Speaker 1: did that. Ian No, it's okay, yeah you got you

425
00:24:45,400 --> 00:24:46,000
Speaker 1: got tricked.

426
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Speaker 3: Buying an animal from someone in the mountains is already

427
00:24:51,080 --> 00:24:52,520
Speaker 3: like she.

428
00:24:52,600 --> 00:24:53,440
Speaker 1: Drove far too.

429
00:24:54,359 --> 00:24:57,679
Speaker 3: Oh, this wasn't a spur of the moment like it was.

430
00:24:57,359 --> 00:25:01,160
Speaker 2: It was, it was, but it was fun Facebook marketplace,

431
00:25:01,160 --> 00:25:01,800
Speaker 2: you can get anything.

432
00:25:02,240 --> 00:25:03,920
Speaker 1: Yeah, yeah, you know what I mean. And I think

433
00:25:03,960 --> 00:25:07,000
Speaker 1: she was just peruising, looking for the moment on the.

434
00:25:08,760 --> 00:25:14,680
Speaker 7: Yeah, right right, there was a cattle and she went

435
00:25:14,760 --> 00:25:17,479
Speaker 7: and got it, and it was it is like I

436
00:25:17,560 --> 00:25:20,560
Speaker 7: never even I never thought about a cat let alone

437
00:25:20,560 --> 00:25:22,600
Speaker 7: a dog let, a loan of hairless cat.

438
00:25:22,960 --> 00:25:24,840
Speaker 1: But it has grown up the ranks to be my

439
00:25:24,960 --> 00:25:25,959
Speaker 1: second favorite animal.

440
00:25:26,040 --> 00:25:30,520
Speaker 3: Now wow, okay, you know my ex she had or

441
00:25:30,560 --> 00:25:33,800
Speaker 3: we had a cat together. And and this is like

442
00:25:33,840 --> 00:25:37,040
Speaker 3: a weird thing. My mom always described cat because again

443
00:25:37,080 --> 00:25:41,919
Speaker 3: we had dogs. My mom always specifically called cats spooky.

444
00:25:42,560 --> 00:25:44,560
Speaker 3: So I think it's hard for me to.

445
00:25:44,600 --> 00:25:45,800
Speaker 1: Because they sit beside the door.

446
00:25:46,200 --> 00:25:48,880
Speaker 3: There's just like a lot like there's even when a

447
00:25:48,920 --> 00:25:53,919
Speaker 3: dog is like extremely smart, you're still like that is

448
00:25:54,000 --> 00:25:55,080
Speaker 3: smart for a dog.

449
00:25:55,200 --> 00:25:56,080
Speaker 1: There's still a dumb.

450
00:25:55,920 --> 00:26:00,600
Speaker 3: Ass dogs feel more akin to like a crow or

451
00:26:00,640 --> 00:26:04,359
Speaker 3: a raven, Like there's a process of thought happening here.

452
00:26:04,560 --> 00:26:05,359
Speaker 1: You can strategy.

453
00:26:05,560 --> 00:26:08,440
Speaker 2: Yes, it feels like it feels like it's perceiving more.

454
00:26:08,680 --> 00:26:10,320
Speaker 3: Yes, I think when a cat.

455
00:26:10,160 --> 00:26:14,159
Speaker 1: Excuse evil, it feels evil.

456
00:26:13,920 --> 00:26:17,000
Speaker 2: With intention, right, as opposed to when a dog is evil,

457
00:26:17,000 --> 00:26:19,600
Speaker 2: you sort of just feel like it was mistreated, right,

458
00:26:19,680 --> 00:26:21,320
Speaker 2: Like you're like, oh, it's just it doesn't it just

459
00:26:21,440 --> 00:26:23,520
Speaker 2: has to be it's yeah. But like when a cat

460
00:26:23,600 --> 00:26:27,080
Speaker 2: is evil, you're like, that's right, that's in you. There's intent, right,

461
00:26:27,520 --> 00:26:29,520
Speaker 2: which is kind of how I feel about mine.

462
00:26:29,640 --> 00:26:33,080
Speaker 8: Nikki believes them all to be that, okay, and that

463
00:26:33,280 --> 00:26:36,800
Speaker 8: is why she yeah, refuses to okay. She's like, no,

464
00:26:36,920 --> 00:26:38,360
Speaker 8: they're all, every single one of them.

465
00:26:39,280 --> 00:26:40,320
Speaker 3: You like the animal.

466
00:26:40,760 --> 00:26:42,879
Speaker 1: I like cats, but I grew up with an unreasonable

467
00:26:42,920 --> 00:26:43,560
Speaker 1: amount of them.

468
00:26:44,000 --> 00:26:46,800
Speaker 8: What's a un reasonable At one point in the house

469
00:26:46,840 --> 00:26:51,560
Speaker 8: we had nine cats. Wow, because they all got names

470
00:26:51,600 --> 00:26:53,560
Speaker 8: in a way, you know what I mean.

471
00:26:53,720 --> 00:26:55,800
Speaker 3: It's like Farmer, Arl, Michael, Tito.

472
00:27:00,000 --> 00:27:05,159
Speaker 1: It's also two apart.

473
00:27:08,480 --> 00:27:11,040
Speaker 8: It really did become that where like I think my

474
00:27:11,160 --> 00:27:14,439
Speaker 8: mom was letting my youngest sister name them, and so

475
00:27:14,560 --> 00:27:18,359
Speaker 8: they all had like weird like that's Mittens. That's Mittens,

476
00:27:18,680 --> 00:27:21,960
Speaker 8: White's It's like all right, man, let's just.

477
00:27:22,200 --> 00:27:24,240
Speaker 2: Does that cause an aversion to you to not want

478
00:27:24,280 --> 00:27:26,359
Speaker 2: to have because I I have always felt it seems

479
00:27:26,400 --> 00:27:29,320
Speaker 2: like because cats are like a presence in the house

480
00:27:29,560 --> 00:27:32,520
Speaker 2: more than I had kind of know, like the dog

481
00:27:32,640 --> 00:27:35,360
Speaker 2: is like I don't know, I feel like the dog

482
00:27:35,440 --> 00:27:36,960
Speaker 2: is more active in the way that you have to

483
00:27:37,000 --> 00:27:37,480
Speaker 2: care for it.

484
00:27:37,840 --> 00:27:39,800
Speaker 1: But like I feel like it's a presence in the house.

485
00:27:39,840 --> 00:27:41,920
Speaker 1: A cat is like it's it's in there.

486
00:27:42,080 --> 00:27:45,000
Speaker 2: Yeah, So nine, I would feel like, would feel like

487
00:27:45,040 --> 00:27:47,440
Speaker 2: a like a that's like roommates.

488
00:27:47,480 --> 00:27:51,600
Speaker 8: I think when I was my youngest, we had seven

489
00:27:52,320 --> 00:27:55,680
Speaker 8: when I was young, and that was exciting because I'm

490
00:27:55,720 --> 00:27:58,479
Speaker 8: a boy and there's just a lot of animals around.

491
00:27:58,520 --> 00:28:01,320
Speaker 1: And then once I became an older person.

492
00:28:01,440 --> 00:28:03,760
Speaker 8: And we had like nine of them in there, I

493
00:28:03,840 --> 00:28:06,399
Speaker 8: was like, Ah, this is this is too much.

494
00:28:06,359 --> 00:28:07,879
Speaker 1: And it's hard to bring pussy around. If you got

495
00:28:07,920 --> 00:28:08,680
Speaker 1: nine cats, I.

496
00:28:08,680 --> 00:28:11,800
Speaker 8: Wasn't bringing a girl nowhere near my mother's home. By

497
00:28:11,880 --> 00:28:14,400
Speaker 8: this one in my life, you already had nine of them.

498
00:28:16,880 --> 00:28:18,560
Speaker 3: Bringing another one.

499
00:28:20,600 --> 00:28:22,040
Speaker 1: I got to bring stand to the beach.

500
00:28:24,640 --> 00:28:30,640
Speaker 3: Wow, man, every time, Like you know, I feel like uh,

501
00:28:31,080 --> 00:28:35,760
Speaker 3: every comedian's villain story, every like you always are like,

502
00:28:36,000 --> 00:28:37,920
Speaker 3: how did this person end up in this profession?

503
00:28:38,080 --> 00:28:40,600
Speaker 2: I've said that to him on this podcast, I think

504
00:28:40,640 --> 00:28:42,840
Speaker 2: a few times. Sometimes he drop I'll be like, yeah,

505
00:28:42,840 --> 00:28:46,000
Speaker 2: I get it. It's like from far away. Before I

506
00:28:46,040 --> 00:28:48,280
Speaker 2: got to know you, I was like, oh, confident, my

507
00:28:48,360 --> 00:28:49,040
Speaker 2: skin man.

508
00:28:49,040 --> 00:28:52,160
Speaker 3: Why would you're like, yeah, a good looking Yeah, why

509
00:28:52,160 --> 00:28:52,760
Speaker 3: would you stand?

510
00:28:53,480 --> 00:28:55,600
Speaker 1: And then he drops it and then you're like, okay,

511
00:28:55,760 --> 00:28:57,400
Speaker 1: yeah with the rest of us.

512
00:28:57,520 --> 00:29:00,840
Speaker 8: I had a weird situation where I had resources for

513
00:29:00,960 --> 00:29:03,680
Speaker 8: half the week and then no resources for the other

514
00:29:03,720 --> 00:29:06,640
Speaker 8: half of the right. But because of my situation, I

515
00:29:06,720 --> 00:29:11,760
Speaker 8: always knew I had resources, so I was I was

516
00:29:11,920 --> 00:29:14,560
Speaker 8: just in some shit and be like, all right, yeah,

517
00:29:14,560 --> 00:29:17,480
Speaker 8: there's a bunch of cats over here. I gotta play

518
00:29:17,600 --> 00:29:19,920
Speaker 8: mom had the cam. I gotta PlayStation at my dad's.

519
00:29:20,480 --> 00:29:23,280
Speaker 1: Yeah. That's that's crazy.

520
00:29:23,760 --> 00:29:26,479
Speaker 3: It's crazy to have a white savior in your own family,

521
00:29:28,000 --> 00:29:28,920
Speaker 3: your own father.

522
00:29:30,760 --> 00:29:34,520
Speaker 1: Please, did you have survivor's remorse the week?

523
00:29:36,840 --> 00:29:39,640
Speaker 3: Oh wait, did you go to the same school all?

524
00:29:40,440 --> 00:29:41,880
Speaker 1: Like? That was the other thing.

525
00:29:41,920 --> 00:29:45,360
Speaker 8: I stayed in the same school district all time. My

526
00:29:45,440 --> 00:29:49,280
Speaker 8: life was never uplifted. I just knew that part of

527
00:29:49,320 --> 00:29:51,800
Speaker 8: my week was very different than the other.

528
00:29:51,680 --> 00:29:53,960
Speaker 1: Part of my week. It was like a controlled chaos.

529
00:29:54,040 --> 00:29:55,560
Speaker 1: It was a completely controlled came.

530
00:29:55,720 --> 00:29:57,880
Speaker 2: Did you stay going back and forth until a certain age?

531
00:29:57,920 --> 00:29:59,240
Speaker 2: Did you get to an age where you were like, no,

532
00:29:59,320 --> 00:30:01,880
Speaker 2: I'm not doing this anymore. Yeah, but I picked my mom,

533
00:30:03,280 --> 00:30:05,280
Speaker 2: you picked the cats. I picked the cats.

534
00:30:05,360 --> 00:30:05,760
Speaker 1: Yeah.

535
00:30:06,240 --> 00:30:08,920
Speaker 2: Interest was that just like was it like a neighborhood thing,

536
00:30:08,960 --> 00:30:10,200
Speaker 2: like you liked where she was at me?

537
00:30:10,560 --> 00:30:13,680
Speaker 8: It was because me and my dad's wife never got along,

538
00:30:14,280 --> 00:30:16,400
Speaker 8: and so like that was the trade off. Was like

539
00:30:16,440 --> 00:30:18,640
Speaker 8: I had resources at my dad's house, but I was

540
00:30:18,680 --> 00:30:23,000
Speaker 8: amongst literally my greatest enemy for the bulk of my life.

541
00:30:23,240 --> 00:30:25,680
Speaker 1: When your parents marry is your greatest enemy. I've been there.

542
00:30:25,720 --> 00:30:28,320
Speaker 1: That is not a good it's a bad feeling.

543
00:30:28,480 --> 00:30:31,520
Speaker 3: So for me, and you're always like for me, my

544
00:30:31,560 --> 00:30:39,160
Speaker 3: mom married Charlie Kirk. Recently, I've been much happier, But

545
00:30:39,240 --> 00:30:41,920
Speaker 3: for a few years there was.

546
00:30:54,240 --> 00:30:58,000
Speaker 15: Oh my god, all right, we need to take a break.

547
00:30:57,640 --> 00:31:00,840
Speaker 8: I think we did w be good more yes, a

548
00:31:00,920 --> 00:31:01,480
Speaker 8: lester more.

549
00:31:01,520 --> 00:31:01,640
Speaker 3: Ma.

550
00:31:01,640 --> 00:31:02,640
Speaker 1: Mama told me.

551
00:31:13,480 --> 00:31:17,280
Speaker 15: We're not gonna let Joe Biden and Kamala Harris cut

552
00:31:17,600 --> 00:31:18,840
Speaker 15: America's meet.

553
00:31:19,400 --> 00:31:22,800
Speaker 2: That's that on that, that's that on that you heard

554
00:31:22,800 --> 00:31:25,360
Speaker 2: it here. My mama told me uncut.

555
00:31:27,680 --> 00:31:28,720
Speaker 1: Agree to disagree.

556
00:31:31,840 --> 00:31:36,120
Speaker 8: Certainly its founder feels differently, but but.

557
00:31:35,720 --> 00:31:43,200
Speaker 1: The oh god, he's coming with.

558
00:31:44,320 --> 00:31:52,880
Speaker 3: My mama told me wild Credit Boy podcast, the bad

559
00:31:52,920 --> 00:31:55,160
Speaker 3: boy of a pretty harmless institution.

560
00:31:56,840 --> 00:31:57,920
Speaker 1: Yes, who shouted you.

561
00:31:57,920 --> 00:31:59,640
Speaker 3: All out in the magazine recently?

562
00:32:00,240 --> 00:32:00,440
Speaker 5: Uh?

563
00:32:00,600 --> 00:32:04,840
Speaker 1: Near the Costa? Oh yeah, that was really cool. It's crazy. Yeah,

564
00:32:05,000 --> 00:32:06,480
Speaker 1: she was ready to see a movie too.

565
00:32:06,560 --> 00:32:10,320
Speaker 8: Yeah, it was a really weird thing that she was like, Yeah,

566
00:32:10,320 --> 00:32:12,560
Speaker 8: they they're not being responsible at all.

567
00:32:13,040 --> 00:32:13,520
Speaker 1: I like it.

568
00:32:13,600 --> 00:32:14,680
Speaker 3: Yeah, way do you all know her?

569
00:32:15,080 --> 00:32:15,400
Speaker 1: No?

570
00:32:15,720 --> 00:32:18,720
Speaker 3: See, that's when it counts. It counts when you don't

571
00:32:18,800 --> 00:32:21,160
Speaker 3: know no relationship. What I'm saying, Yeah, what.

572
00:32:21,120 --> 00:32:22,840
Speaker 1: Do you think about me? I know like six people?

573
00:32:23,080 --> 00:32:26,480
Speaker 2: Yeah, in fact that anybody listens to this.

574
00:32:26,560 --> 00:32:31,320
Speaker 3: Pretty it's it's weird tight Yeah, Near the Costa, bro,

575
00:32:31,680 --> 00:32:33,880
Speaker 3: I am looking forward to that movie. What's the new one?

576
00:32:33,960 --> 00:32:35,320
Speaker 1: Twenty eight years later? The Bone?

577
00:32:36,400 --> 00:32:40,240
Speaker 3: Yeah, Bone Bone, something empires Bone Church.

578
00:32:40,440 --> 00:32:42,160
Speaker 8: Of course we all remember Bone Church.

579
00:32:42,560 --> 00:32:44,800
Speaker 1: That was actually the aggregate website I used to get my.

580
00:32:46,560 --> 00:32:49,920
Speaker 3: That's where it's uh where ago where Flesh and Bone

581
00:32:50,080 --> 00:32:54,680
Speaker 3: used to preach. And he was all of us sorts

582
00:32:54,760 --> 00:32:55,520
Speaker 3: was like, well, come.

583
00:32:55,400 --> 00:33:00,240
Speaker 1: To talk about me. I was they got they what

584
00:33:00,360 --> 00:33:03,600
Speaker 1: I was? Was he the one who was in prison?

585
00:33:04,080 --> 00:33:08,760
Speaker 3: It's very it's very uh tony, yo, it's very you know.

586
00:33:08,760 --> 00:33:13,040
Speaker 8: That can as somebody who has now met what I met,

587
00:33:13,080 --> 00:33:17,320
Speaker 8: four of the five bones, nicest bone, flesh flesh.

588
00:33:18,000 --> 00:33:20,080
Speaker 1: Oh that you did say that, but that's because he

589
00:33:20,120 --> 00:33:21,960
Speaker 1: did because of the time. I think so.

590
00:33:22,080 --> 00:33:25,760
Speaker 8: But but what like genuinely like, that's so happy to

591
00:33:25,800 --> 00:33:26,800
Speaker 8: be in every room.

592
00:33:26,880 --> 00:33:30,800
Speaker 3: But that's because he's like he didn't get the.

593
00:33:30,200 --> 00:33:32,920
Speaker 1: You know, it's also like what was his VERSI notorious

594
00:33:32,920 --> 00:33:34,880
Speaker 1: thugs because you know who we remember?

595
00:33:35,360 --> 00:33:40,920
Speaker 3: Yeah, yeah, scary one. Who do you consider the scary Busy?

596
00:33:41,440 --> 00:33:44,280
Speaker 3: Oh yeah, well yes in real life. But I would

597
00:33:44,280 --> 00:33:47,040
Speaker 3: say vocally it's crazy. He has the deepest.

598
00:33:47,080 --> 00:33:50,000
Speaker 9: Oh but Busy's I feel like Busy's is the most

599
00:33:50,200 --> 00:33:54,600
Speaker 9: Like that's pretty scary.

600
00:33:54,680 --> 00:33:57,360
Speaker 8: Busy was the one talking about the most.

601
00:33:57,160 --> 00:33:58,240
Speaker 1: Like violent, right yeah?

602
00:33:58,280 --> 00:33:58,480
Speaker 4: Yeah?

603
00:33:58,520 --> 00:33:58,760
Speaker 5: Yeah.

604
00:33:58,840 --> 00:34:01,600
Speaker 16: Everyone was just like what if I was spooky like.

605
00:34:05,440 --> 00:34:06,440
Speaker 3: Directly saying the.

606
00:34:08,480 --> 00:34:13,880
Speaker 1: Yeah, there's a darkness.

607
00:34:12,200 --> 00:34:13,080
Speaker 5: Like stan.

608
00:34:17,440 --> 00:34:20,080
Speaker 1: I thought this was a tasteful relationship with the devil.

609
00:34:20,520 --> 00:34:25,319
Speaker 1: You're making devil smart. I was like mister bring me

610
00:34:25,440 --> 00:34:26,000
Speaker 1: your son.

611
00:34:26,360 --> 00:34:31,080
Speaker 3: He's just like kill every kid in the neighborhood resurrected.

612
00:34:31,239 --> 00:34:37,240
Speaker 1: Damn you didn't pet Cemetery, Like, yes.

613
00:34:42,600 --> 00:34:46,120
Speaker 3: Wow, you harmonize that, beautiful, you harmonize the plot to

614
00:34:46,239 --> 00:34:47,319
Speaker 3: pet Cemetery.

615
00:34:48,160 --> 00:34:50,479
Speaker 1: It was really mostly hip hop.

616
00:34:51,000 --> 00:34:51,239
Speaker 5: Yeah.

617
00:34:51,360 --> 00:34:51,560
Speaker 4: Yeah.

618
00:34:51,840 --> 00:34:55,120
Speaker 3: They really were used to stand for something like bone

619
00:34:55,239 --> 00:34:58,480
Speaker 3: used to stand for something like the first tape it

620
00:34:58,560 --> 00:35:00,640
Speaker 3: was I thought you met like it was like.

621
00:35:01,320 --> 00:35:02,719
Speaker 1: This country used to standing for.

622
00:35:07,680 --> 00:35:11,200
Speaker 3: God. That would be like, here's my like, if we

623
00:35:11,239 --> 00:35:14,719
Speaker 3: talk about bone for a quick second, you know that, Huh.

624
00:35:16,440 --> 00:35:20,719
Speaker 8: Originally the acronym bone in Bone Ducks and Harmony originally

625
00:35:20,840 --> 00:35:23,440
Speaker 8: Bone Enterprise with a money sign.

626
00:35:24,719 --> 00:35:25,560
Speaker 1: Oh my god.

627
00:35:25,880 --> 00:35:29,040
Speaker 8: The original acronym was beaten on niggas every day.

628
00:35:29,520 --> 00:35:41,880
Speaker 9: Well, I was gonna say big old niggas everywhere. That

629
00:35:42,000 --> 00:35:42,839
Speaker 9: was Busy's idea.

630
00:35:42,880 --> 00:35:47,680
Speaker 8: It also was apparently, uh, their origins and styles suggested

631
00:35:47,760 --> 00:35:51,759
Speaker 8: mean and then the Buddies of Natural Extremes, which I

632
00:35:51,760 --> 00:35:55,240
Speaker 8: don't feel right, yeah, representing their Cleveland roots and unique

633
00:35:55,320 --> 00:35:56,319
Speaker 8: melodic Now.

634
00:35:56,600 --> 00:35:58,719
Speaker 3: I also feel like people were like, I'm sorry, your

635
00:35:58,800 --> 00:36:01,520
Speaker 3: name is beaten off niggas.

636
00:36:03,000 --> 00:36:11,319
Speaker 10: We're beating on like you up niggas, right, hey, we

637
00:36:11,320 --> 00:36:12,360
Speaker 10: should drop the period.

638
00:36:12,680 --> 00:36:19,359
Speaker 1: Maybe flush I can see this from you, but I'm

639
00:36:19,400 --> 00:36:21,120
Speaker 1: so busy beating off these niggas.

640
00:36:25,200 --> 00:36:27,840
Speaker 3: And then one was like, what if we're buddies, would

641
00:36:27,840 --> 00:36:30,280
Speaker 3: have said where, No, No, we're not beating off anybody.

642
00:36:30,320 --> 00:36:33,440
Speaker 3: We're buddies on what are the buddies extremes?

643
00:36:34,239 --> 00:36:36,760
Speaker 1: That's what what are we talking about?

644
00:36:37,120 --> 00:36:37,359
Speaker 5: See?

645
00:36:37,360 --> 00:36:39,440
Speaker 3: That's when you're like, oh, they're from Cleveland. You're like

646
00:36:39,719 --> 00:36:41,600
Speaker 3: that just feels like a weird thing. Is like, okay,

647
00:36:41,719 --> 00:36:43,400
Speaker 3: I know four words.

648
00:36:45,440 --> 00:36:52,880
Speaker 14: Buddies, but clearly we look like buddies, right, Cuddies have braids.

649
00:36:53,000 --> 00:36:58,480
Speaker 3: All think about a bunch of dudes just being drunk

650
00:36:58,520 --> 00:37:00,000
Speaker 3: and high, like, okay, we are buddy.

651
00:37:00,280 --> 00:37:04,759
Speaker 1: I think we're all buddies. One of them was still

652
00:37:04,840 --> 00:37:08,480
Speaker 1: riding for the beaten off niggas. I don't know, wish

653
00:37:08,560 --> 00:37:13,760
Speaker 1: you are like a buddy to me. Weird?

654
00:37:14,040 --> 00:37:17,799
Speaker 3: What a weird little fun? What good for them? Good

655
00:37:17,800 --> 00:37:18,960
Speaker 3: for them?

656
00:37:19,120 --> 00:37:21,600
Speaker 1: Well? Yeah, so you also came to us with the consuert.

657
00:37:21,600 --> 00:37:22,719
Speaker 3: Okay, this one's a real one.

658
00:37:22,840 --> 00:37:25,080
Speaker 8: Okay, you said, my mama told me.

659
00:37:27,000 --> 00:37:30,040
Speaker 3: Trump is trying to resegregate schools.

660
00:37:34,080 --> 00:37:38,440
Speaker 4: Yes, mom, do you ever feel you know, not so fresh.

661
00:37:38,960 --> 00:37:48,760
Speaker 3: No, no, no, yeah, I mean how do you follow? Okay,

662
00:37:48,800 --> 00:37:49,400
Speaker 3: are we ready?

663
00:37:49,640 --> 00:37:49,719
Speaker 4: No?

664
00:37:50,080 --> 00:37:50,359
Speaker 1: We don't.

665
00:37:50,480 --> 00:37:52,400
Speaker 3: It's not even a tenfoild hot thing. This is I'm

666
00:37:52,400 --> 00:37:55,560
Speaker 3: gonna I'm gonna use laws and I'm gonna use court

667
00:37:55,640 --> 00:37:58,600
Speaker 3: cases and I'm want to prove this all right. In

668
00:37:58,680 --> 00:38:05,480
Speaker 3: twenty five, Trump awarded five hundred million dollars to HBCUs

669
00:38:05,719 --> 00:38:10,200
Speaker 3: and TCUs, which are tribal colleges and universities, those that

670
00:38:10,400 --> 00:38:14,640
Speaker 3: are you know, specific to Native America.

671
00:38:14,680 --> 00:38:15,839
Speaker 1: How many are there is that?

672
00:38:16,120 --> 00:38:18,640
Speaker 3: There's not a ton I was going to say, there's

673
00:38:18,680 --> 00:38:20,680
Speaker 3: not a ton. So a lot of that money is

674
00:38:20,719 --> 00:38:25,040
Speaker 3: going to HBCUs, which would for us, that's great. That

675
00:38:25,200 --> 00:38:30,440
Speaker 3: money comes exclusively from him taking five hundred million dollars

676
00:38:30,440 --> 00:38:34,920
Speaker 3: maybe a little bit less to schools that have a

677
00:38:35,040 --> 00:38:39,839
Speaker 3: specific Latin and Hispanic population, right, money from then, yes,

678
00:38:40,400 --> 00:38:42,560
Speaker 3: So three hundred and fifty million dollars that was earmarked

679
00:38:42,600 --> 00:38:45,360
Speaker 3: for them, he took it and then added another one

680
00:38:45,440 --> 00:38:48,080
Speaker 3: hundred and fifty million. And now that's this plot, right,

681
00:38:48,200 --> 00:38:52,880
Speaker 3: or this this pot of cash. It's important because in

682
00:38:52,920 --> 00:38:57,600
Speaker 3: twenty twenty three, there's an organization called the SFFA and

683
00:38:57,640 --> 00:39:04,640
Speaker 3: it stands for students. So are free. Yeah, okay, but.

684
00:39:09,880 --> 00:39:11,560
Speaker 1: Where's the where's the end?

685
00:39:20,080 --> 00:39:24,319
Speaker 3: Okay? So the s S s f f A, the

686
00:39:24,360 --> 00:39:28,480
Speaker 3: Students for Fair Admissions right, created by a dude named

687
00:39:28,560 --> 00:39:31,960
Speaker 3: Edward Blum. But the support he got was from Asian

688
00:39:32,200 --> 00:39:36,000
Speaker 3: Americans in the US who believed that they were not

689
00:39:36,080 --> 00:39:39,799
Speaker 3: getting in the Ivy League schools because of affirmative action.

690
00:39:39,960 --> 00:39:44,400
Speaker 8: Right, So the Asian students really kicked off the exact

691
00:39:44,440 --> 00:39:45,120
Speaker 8: action wave.

692
00:39:45,360 --> 00:39:47,879
Speaker 3: And Edward Bloom is the dude who took this case

693
00:39:47,880 --> 00:39:53,280
Speaker 3: of Supreme Court. They win. Affirmative action is effectively wiped

694
00:39:53,320 --> 00:39:57,759
Speaker 3: out at school, right, Congress, it worked. Issue is I

695
00:39:57,800 --> 00:40:03,600
Speaker 3: got that is that now Asian American representation and admittance

696
00:40:03,880 --> 00:40:08,120
Speaker 3: in Ivy leagues has stayed the same. It's gone up

697
00:40:08,160 --> 00:40:11,319
Speaker 3: by a percentage point and down by a percentage point

698
00:40:11,440 --> 00:40:16,919
Speaker 3: in certain places. Right. This is important because affirmative action

699
00:40:17,040 --> 00:40:19,480
Speaker 3: has been wiped out of these places at all these colleges.

700
00:40:20,200 --> 00:40:23,360
Speaker 3: They will stop letting in black students now because there's

701
00:40:23,520 --> 00:40:27,120
Speaker 3: no precedent for them meeting to anymore. Right, So he's

702
00:40:27,280 --> 00:40:30,960
Speaker 3: flooding all the black schools to be like this is

703
00:40:31,040 --> 00:40:31,959
Speaker 3: where you are going.

704
00:40:32,000 --> 00:40:35,160
Speaker 1: Oh, influx of money and.

705
00:40:36,800 --> 00:40:39,680
Speaker 3: Which is very important a lot of these schools, a

706
00:40:39,719 --> 00:40:43,840
Speaker 3: lot of HBCUs as we know, are in southern states.

707
00:40:44,160 --> 00:40:47,720
Speaker 3: The problem with that is to be an accredited school,

708
00:40:47,760 --> 00:40:50,239
Speaker 3: you still have to meet a government mandate on what

709
00:40:50,320 --> 00:40:53,840
Speaker 3: you are teaching. As we know, all of these government

710
00:40:54,280 --> 00:41:00,120
Speaker 3: mandates are now based on religion and anti races. Oh,

711
00:41:00,239 --> 00:41:03,520
Speaker 3: anti racism, but as we know, very very racist. So

712
00:41:04,239 --> 00:41:08,560
Speaker 3: I believe the plot was is give them. It's the

713
00:41:08,600 --> 00:41:10,759
Speaker 3: same thing we see all the time, right, give the

714
00:41:10,760 --> 00:41:13,640
Speaker 3: black people we think they want, which is the money

715
00:41:13,640 --> 00:41:17,800
Speaker 3: for the HBCUs we all celebrate. And the most sinister

716
00:41:18,040 --> 00:41:21,160
Speaker 3: part of it is that because Asian American representation is

717
00:41:21,160 --> 00:41:23,959
Speaker 3: staying the same in all of these colleges, they will

718
00:41:24,200 --> 00:41:28,680
Speaker 3: then be moved culturally into what is considered whiteness. And

719
00:41:28,719 --> 00:41:32,879
Speaker 3: then the same thing will happen with Latinos because as

720
00:41:32,920 --> 00:41:36,520
Speaker 3: we know, in popular you know whatever culture, whatever you

721
00:41:36,560 --> 00:41:39,360
Speaker 3: want to call it, we consider Latino and Hispanic to

722
00:41:39,360 --> 00:41:42,000
Speaker 3: be an ethnicity but not a race, right, so all

723
00:41:42,040 --> 00:41:45,280
Speaker 3: of the powerful white Latinos will then also be moved

724
00:41:45,320 --> 00:41:50,879
Speaker 3: into the white category. The darker skinned ones will either

725
00:41:50,920 --> 00:41:54,160
Speaker 3: be moved into Native American, you know whatever, if they

726
00:41:54,160 --> 00:41:58,200
Speaker 3: can prove a certain percentage of that or into HBCUs.

727
00:41:58,320 --> 00:42:02,759
Speaker 3: But we will be split in education within the next

728
00:42:02,800 --> 00:42:06,000
Speaker 3: three years. Actually, whoa, Yeah, you're saying that this.

729
00:42:06,000 --> 00:42:08,040
Speaker 1: Is having so much fun beating off niggas.

730
00:42:11,719 --> 00:42:15,240
Speaker 3: I I it's it's it to me, it's the most

731
00:42:15,280 --> 00:42:17,840
Speaker 3: sinister way of doing things. Like I genuinely, and I

732
00:42:17,880 --> 00:42:20,440
Speaker 3: know we've like joked about it before, but like I like,

733
00:42:20,640 --> 00:42:22,759
Speaker 3: when you're walking down the street someone's like, nigger, you know,

734
00:42:22,800 --> 00:42:24,560
Speaker 3: like at least I know you know what I'm saying.

735
00:42:24,680 --> 00:42:26,799
Speaker 3: I don't like when they're like, shake my hand and

736
00:42:26,840 --> 00:42:32,800
Speaker 3: then you prefer them being vocal about who they are exactly. Yeah, yeah, yeah,

737
00:42:32,800 --> 00:42:35,640
Speaker 3: And I think that, like, and it's it's the it's

738
00:42:35,680 --> 00:42:38,759
Speaker 3: the it's brilliant in the way that it comes as

739
00:42:38,800 --> 00:42:40,960
Speaker 3: a gift, right, It's a trojan horse. And I think

740
00:42:41,000 --> 00:42:43,759
Speaker 3: we're all like, I don't know because at the end

741
00:42:43,800 --> 00:42:46,320
Speaker 3: of the day, it's like you also don't like me personally.

742
00:42:46,440 --> 00:42:48,799
Speaker 3: When I have kids, I'm like, I don't want them

743
00:42:48,800 --> 00:42:50,919
Speaker 3: to go to a Harvard. I want them to go

744
00:42:51,080 --> 00:42:55,960
Speaker 3: somewhere that has diversity in all of these things. Yeah yeah, yeah,

745
00:42:56,000 --> 00:42:59,480
Speaker 3: wherever coach Prime is, That's where I want my child.

746
00:43:00,600 --> 00:43:02,640
Speaker 1: I don't even want them playing in the zation.

747
00:43:02,840 --> 00:43:06,360
Speaker 8: I just want to know he's there, which this man's leadership.

748
00:43:09,520 --> 00:43:10,480
Speaker 1: It's nice when he's there.

749
00:43:11,480 --> 00:43:13,960
Speaker 3: Do you feel there's more black people in publicly, No.

750
00:43:13,840 --> 00:43:14,839
Speaker 1: Not at all. I don't think.

751
00:43:14,880 --> 00:43:20,200
Speaker 2: I don't think that culturally. It's I think that I

752
00:43:20,200 --> 00:43:23,919
Speaker 2: think culturally outside of the state. I don't think within

753
00:43:23,960 --> 00:43:24,279
Speaker 2: the state.

754
00:43:24,719 --> 00:43:27,520
Speaker 1: But it made the teams fun. Yeah, not something.

755
00:43:27,760 --> 00:43:30,160
Speaker 2: I do think that it was cool. It was Listen,

756
00:43:30,200 --> 00:43:31,960
Speaker 2: it was crazy to see Cameron and.

757
00:43:31,920 --> 00:43:35,840
Speaker 8: Boulder, you know what I mean, like us said, showed

758
00:43:35,880 --> 00:43:38,000
Speaker 8: up as I said in Boulder, Colorado.

759
00:43:38,200 --> 00:43:42,120
Speaker 2: But at the same time, Joki is also undermining the

760
00:43:42,120 --> 00:43:43,640
Speaker 2: black athleticism of the state.

761
00:43:44,640 --> 00:43:48,960
Speaker 3: But that I feel like he we give him team.

762
00:43:49,000 --> 00:43:51,000
Speaker 3: You do know that it's and I love that they won,

763
00:43:51,160 --> 00:43:53,239
Speaker 3: but like it's not I wouldn't even say it's a

764
00:43:53,280 --> 00:43:56,319
Speaker 3: coolness thing, but like the way they like anyone who

765
00:43:56,400 --> 00:44:01,200
Speaker 3: is that big is good at basketball anyone anyway, anyway,

766
00:44:01,280 --> 00:44:06,160
Speaker 3: he's pretty, he's he's he is I think he has

767
00:44:06,400 --> 00:44:09,319
Speaker 3: he has my skill, but he's a giant and he's

768
00:44:09,400 --> 00:44:10,240
Speaker 3: like he's a door.

769
00:44:10,560 --> 00:44:11,680
Speaker 1: You know.

770
00:44:11,400 --> 00:44:13,319
Speaker 2: I don't think so I feel like this is like

771
00:44:13,360 --> 00:44:15,200
Speaker 2: when dudes are like I could beat up any woman

772
00:44:15,360 --> 00:44:16,120
Speaker 2: UFC fighter.

773
00:44:16,239 --> 00:44:17,600
Speaker 3: No, No, I don't believe that.

774
00:44:17,800 --> 00:44:18,120
Speaker 17: I don't.

775
00:44:19,600 --> 00:44:31,439
Speaker 1: I feel like all women and that's how you get

776
00:44:31,440 --> 00:44:31,879
Speaker 1: out of that.

777
00:44:34,440 --> 00:44:40,560
Speaker 8: I do think speaking to to this question of like segregation,

778
00:44:40,800 --> 00:44:44,840
Speaker 8: right that, like very often with politics, truly the best

779
00:44:44,880 --> 00:44:47,400
Speaker 8: politicians in the world, in the world are the ones

780
00:44:47,400 --> 00:44:51,000
Speaker 8: that are able to hide the medicine inside of what

781
00:44:51,040 --> 00:44:53,799
Speaker 8: they consider to be the sugar, whatever the fuck it is.

782
00:44:54,200 --> 00:44:57,400
Speaker 8: And so it becomes this weird thing of like Trump

783
00:44:57,480 --> 00:45:01,520
Speaker 8: is like truly a vile, motherfucker, awful, awful man, but

784
00:45:01,600 --> 00:45:05,480
Speaker 8: he is a very effective politician. And I think it's

785
00:45:05,560 --> 00:45:08,600
Speaker 8: a weird wrestling that we culturally have been doing for

786
00:45:08,640 --> 00:45:11,799
Speaker 8: a long time of being like calling him bad and

787
00:45:11,800 --> 00:45:14,680
Speaker 8: being like, this guy sucks, he's fucking awful, but he's

788
00:45:14,719 --> 00:45:18,200
Speaker 8: so much more effective than anybody we've ever had one before. Yeah,

789
00:45:18,600 --> 00:45:21,160
Speaker 8: and it's kind of weird to be like, man, he's

790
00:45:21,160 --> 00:45:22,400
Speaker 8: really getting his ship done.

791
00:45:22,600 --> 00:45:23,000
Speaker 1: Is that a.

792
00:45:22,920 --> 00:45:25,600
Speaker 2: Project twenty twenty five play or is this like do

793
00:45:25,600 --> 00:45:28,000
Speaker 2: you feel like this? I don't know what's in there.

794
00:45:28,160 --> 00:45:30,759
Speaker 3: Yeah, I feel like because every time a new thing

795
00:45:30,800 --> 00:45:34,920
Speaker 3: comes up people that's Project getting Rid of kettle Corn.

796
00:45:35,920 --> 00:45:39,160
Speaker 3: That was on there that was on their agenda and

797
00:45:40,120 --> 00:45:44,120
Speaker 3: very important exactly what they know.

798
00:45:44,200 --> 00:45:47,239
Speaker 8: Niggas got a sweet tooth late at night, but they

799
00:45:47,239 --> 00:45:48,440
Speaker 8: don't want too much sugar.

800
00:45:48,680 --> 00:45:50,440
Speaker 3: I feel and I also say, I just feel like

801
00:45:50,520 --> 00:45:53,200
Speaker 3: the quality of kettle Like I feel like kettlecorn really hit.

802
00:45:53,440 --> 00:45:55,759
Speaker 3: We were all like yeah, and now I'm like, are

803
00:45:55,800 --> 00:45:58,240
Speaker 3: we even talk like we even talking about kettle corn

804
00:45:58,280 --> 00:45:58,880
Speaker 3: like that anymore?

805
00:45:59,000 --> 00:46:00,759
Speaker 1: No, this still means a lot in my house. But

806
00:46:00,800 --> 00:46:01,560
Speaker 1: I respect.

807
00:46:02,400 --> 00:46:06,319
Speaker 3: Okay, but like I like a smart pop too. But

808
00:46:06,400 --> 00:46:10,120
Speaker 3: here's my salt one. Here's my question. Though we love

809
00:46:10,160 --> 00:46:14,359
Speaker 3: a cattle corn, right, but when it's Christmas, when it's

810
00:46:14,400 --> 00:46:18,200
Speaker 3: New Year's how are we feeling about a giant ten

811
00:46:18,480 --> 00:46:22,400
Speaker 3: of three different flavored popcorn, all the cheddar with a caramel,

812
00:46:22,520 --> 00:46:26,759
Speaker 3: with a regular so for school, I mean, just like

813
00:46:26,880 --> 00:46:29,640
Speaker 3: they have that target. You know, it's an a festive

814
00:46:29,840 --> 00:46:32,959
Speaker 3: it's an a festive tune. How do we feel about

815
00:46:32,960 --> 00:46:36,719
Speaker 3: a popcornopolis? How do we feel about Chicago? Garretts Garretts?

816
00:46:36,800 --> 00:46:39,960
Speaker 1: Yeah, what's Garretts? Ah, the one with that blue stripes?

817
00:46:41,480 --> 00:46:42,440
Speaker 3: You get it, man, get out.

818
00:46:42,960 --> 00:46:45,080
Speaker 1: I really I really don't think you even you don't

819
00:46:45,080 --> 00:46:49,520
Speaker 1: even popcorn. It's one of our more essential resources.

820
00:46:49,560 --> 00:46:51,680
Speaker 3: Yeah, yeah, yeah, we don't.

821
00:46:51,920 --> 00:46:54,840
Speaker 8: We don't have a lot else. But we got Garrett's popcorn.

822
00:46:54,880 --> 00:46:56,640
Speaker 1: Oh they got it on the plate. Now, they got

823
00:46:56,680 --> 00:46:58,840
Speaker 1: it everywhere. Baby is popcorn.

824
00:46:58,840 --> 00:47:01,480
Speaker 3: You met him, Garrett, I was, are you swear to god?

825
00:47:01,680 --> 00:47:05,160
Speaker 3: I was at a party in Brentwood once and I'll

826
00:47:05,160 --> 00:47:08,279
Speaker 3: never forget it. There was a dude making a popcorn

827
00:47:08,560 --> 00:47:12,480
Speaker 3: and hold on, hold on, and this this, this. It

828
00:47:12,560 --> 00:47:13,320
Speaker 3: was in a mansion.

829
00:47:13,360 --> 00:47:13,879
Speaker 1: By the way.

830
00:47:14,880 --> 00:47:18,160
Speaker 3: I won't say who it is, but it was Epstein,

831
00:47:21,239 --> 00:47:23,360
Speaker 3: not the one you're thinking. This guy's name was Jeff.

832
00:47:26,920 --> 00:47:28,040
Speaker 1: He had a cool play.

833
00:47:28,239 --> 00:47:28,439
Speaker 10: Yeah.

834
00:47:28,520 --> 00:47:30,680
Speaker 1: Yeah, the whole.

835
00:47:30,400 --> 00:47:31,479
Speaker 3: House sat on a moat.

836
00:47:32,320 --> 00:47:36,840
Speaker 1: But I decigned my name on some logs to get whatever.

837
00:47:37,080 --> 00:47:39,840
Speaker 3: Yeah yeah. It was just like he was like, no

838
00:47:39,880 --> 00:47:42,319
Speaker 3: one's ever to find out about this, but no, there

839
00:47:42,360 --> 00:47:43,960
Speaker 3: was a dude like making popcorn. He was like kind

840
00:47:43,960 --> 00:47:46,000
Speaker 3: of weird and had like i'm gonna say had hair.

841
00:47:46,480 --> 00:47:48,040
Speaker 3: Most people have hair, but it was just like kind

842
00:47:48,040 --> 00:47:50,120
Speaker 3: of anyway. He was like in his own world. You

843
00:47:50,200 --> 00:47:52,759
Speaker 3: were like, that's Garrett of Garrett's Popcorn. I was like,

844
00:47:52,800 --> 00:47:56,279
Speaker 3: whoa bro shows up and does the thing like that

845
00:47:56,280 --> 00:47:57,960
Speaker 3: would be good? Like if Michael Jordan showed up to

846
00:47:57,960 --> 00:47:59,680
Speaker 3: the party, was just like, y'all wants to be shoot somebody?

847
00:48:00,880 --> 00:48:05,080
Speaker 8: What ifstes like shit, yeah, but risky.

848
00:48:05,200 --> 00:48:09,480
Speaker 3: Right, that's what I'm saying. It's like, Wow, you are confident. Yeah,

849
00:48:10,480 --> 00:48:11,560
Speaker 3: that's beauty has man.

850
00:48:11,760 --> 00:48:12,040
Speaker 1: I do.

851
00:48:12,200 --> 00:48:16,360
Speaker 8: I do very much believe in the possibility of of

852
00:48:16,480 --> 00:48:20,320
Speaker 8: any of like the sort of like shitty things that

853
00:48:20,320 --> 00:48:24,600
Speaker 8: that are being presented being sneak sneaked in snuck in

854
00:48:26,080 --> 00:48:29,040
Speaker 8: very stealthily and very quickly. Yeah, Like, I think the

855
00:48:29,480 --> 00:48:31,760
Speaker 8: rate at which these things feel like they can happen

856
00:48:31,800 --> 00:48:33,600
Speaker 8: now is so fast that I believe.

857
00:48:33,880 --> 00:48:36,480
Speaker 1: Yeah, it felt like this administration turned up the heat

858
00:48:36,520 --> 00:48:37,040
Speaker 1: on everything.

859
00:48:37,960 --> 00:48:42,080
Speaker 3: I do have an addendum to the question, or to

860
00:48:42,200 --> 00:48:49,920
Speaker 3: the premise, pose, sure, is it necessarily a bad thing? Okay,

861
00:48:50,560 --> 00:48:55,040
Speaker 3: that's the real question, right are we? And I think

862
00:48:55,080 --> 00:48:58,480
Speaker 3: about this a lot in terms of like religion, Right,

863
00:48:59,239 --> 00:49:03,879
Speaker 3: I think that white Christianity is a completely different thing

864
00:49:04,520 --> 00:49:05,759
Speaker 3: than Christianity as a.

865
00:49:05,760 --> 00:49:10,319
Speaker 16: Whole, right, yeah, about like white nationalized yes, even just

866
00:49:10,440 --> 00:49:15,719
Speaker 16: even white Evan jealousism is a completely different thing than

867
00:49:15,800 --> 00:49:19,920
Speaker 16: evangelicism around the world, right, like and evangelical being the

868
00:49:20,400 --> 00:49:23,440
Speaker 16: you know, proxy term for just like more extreme zealot

869
00:49:23,520 --> 00:49:24,480
Speaker 16: whatever tailor.

870
00:49:25,160 --> 00:49:28,560
Speaker 3: But if we are not, it's not it's no longer

871
00:49:28,680 --> 00:49:32,400
Speaker 3: do you go to an HBCU or I don't know,

872
00:49:32,560 --> 00:49:35,239
Speaker 3: Vanderbilt or whatever. You know what I'm saying, you have

873
00:49:35,400 --> 00:49:41,000
Speaker 3: to and the the education system there now granted there

874
00:49:41,000 --> 00:49:43,759
Speaker 3: are government mandates, but which I do think he will

875
00:49:43,760 --> 00:49:47,200
Speaker 3: revoke at some point. But if we are in charge

876
00:49:47,200 --> 00:49:52,080
Speaker 3: of everything, you know, is it bad or does it

877
00:49:52,160 --> 00:49:56,840
Speaker 3: just become Tulsa again? And once once we hit the ceiling,

878
00:49:57,400 --> 00:50:00,240
Speaker 3: we get bombed out. But I do think it's an.

879
00:50:00,000 --> 00:50:02,560
Speaker 2: Feels like it's on a bigger skill than that. Though right, yeah,

880
00:50:02,719 --> 00:50:05,799
Speaker 2: I think, I mean, I mean to that then it's like,

881
00:50:06,320 --> 00:50:08,359
Speaker 2: I don't think that you can control it in that way.

882
00:50:08,440 --> 00:50:11,640
Speaker 1: So it was like a pretty good setup.

883
00:50:11,880 --> 00:50:16,040
Speaker 8: I think what scares me is less of like can

884
00:50:16,080 --> 00:50:20,320
Speaker 8: we control education, but more like once it becomes importing

885
00:50:20,360 --> 00:50:23,839
Speaker 8: and exporting, like they control so many of the resources

886
00:50:23,880 --> 00:50:26,759
Speaker 8: that come in and out of this country. And and

887
00:50:26,880 --> 00:50:28,960
Speaker 8: I don't know that there are a lot of black

888
00:50:29,160 --> 00:50:32,480
Speaker 8: organizations that even come close to a level of control

889
00:50:32,960 --> 00:50:34,799
Speaker 8: what comes in and out. And even if they do,

890
00:50:35,160 --> 00:50:38,200
Speaker 8: they serve at the hand of a white uh, you know,

891
00:50:38,320 --> 00:50:46,000
Speaker 8: a white hand and so like, yeah, you know what

892
00:50:46,040 --> 00:50:47,960
Speaker 8: I mean, like black BP ain't.

893
00:50:49,600 --> 00:50:53,240
Speaker 3: Community and so in that way, by.

894
00:50:53,000 --> 00:50:57,680
Speaker 8: Yeah, that's petroleum.

895
00:51:00,560 --> 00:51:09,000
Speaker 16: Shy, right, you don't, no guys, what's.

896
00:51:11,320 --> 00:51:13,879
Speaker 1: Up and make me some money. Yeah.

897
00:51:14,040 --> 00:51:16,879
Speaker 8: I just think it's it feels so much bigger than

898
00:51:17,120 --> 00:51:19,200
Speaker 8: just like, oh, we get in to be in charge

899
00:51:19,200 --> 00:51:22,760
Speaker 8: of our schools and therefore get to produce, you know strong.

900
00:51:23,080 --> 00:51:24,880
Speaker 2: I also don't think you put in a plan like

901
00:51:24,920 --> 00:51:28,680
Speaker 2: that and play without. The plan was always for control, right,

902
00:51:28,680 --> 00:51:30,880
Speaker 2: It's not they're like, oh we're gonna we're gonna do

903
00:51:30,920 --> 00:51:31,200
Speaker 2: it like this.

904
00:51:31,360 --> 00:51:35,000
Speaker 1: Oh my god, there's over there hooping. Yeah, what I

905
00:51:35,000 --> 00:51:36,920
Speaker 1: did and I couldn't do this is better than the

906
00:51:37,080 --> 00:51:37,800
Speaker 1: n C double A.

907
00:51:38,040 --> 00:51:40,520
Speaker 8: Yeah, they're not gonna like give us a chance to

908
00:51:40,640 --> 00:51:41,520
Speaker 8: like turn I'm sure.

909
00:51:44,200 --> 00:51:47,440
Speaker 3: I look, I I mostly agree. But I do think

910
00:51:47,600 --> 00:51:52,319
Speaker 3: that any any siphoning off of any part of the population,

911
00:51:52,680 --> 00:51:57,680
Speaker 3: I do think becomes a breeding ground for innovation and

912
00:51:57,840 --> 00:52:01,360
Speaker 3: innovation in a way that makes it so unknown until

913
00:52:01,360 --> 00:52:02,359
Speaker 3: the lid is blown off.

914
00:52:02,840 --> 00:52:05,720
Speaker 2: But also it also feels like, now if you ciphed

915
00:52:05,760 --> 00:52:08,759
Speaker 2: it off that way, now you put that jacket on

916
00:52:09,080 --> 00:52:13,600
Speaker 2: all those degrees you graduated from X, I don't really

917
00:52:13,680 --> 00:52:14,960
Speaker 2: highre x'es over here.

918
00:52:15,120 --> 00:52:16,439
Speaker 3: But no, no, I mean like.

919
00:52:16,360 --> 00:52:18,680
Speaker 1: It's like so easy to now you can spot it,

920
00:52:18,960 --> 00:52:19,160
Speaker 1: you know.

921
00:52:19,360 --> 00:52:21,480
Speaker 3: But here's the thing. I agree with all of that.

922
00:52:22,160 --> 00:52:25,400
Speaker 3: When I say is it bad, I mean, like, of

923
00:52:25,440 --> 00:52:28,919
Speaker 3: course they are bad in the in the greater sense

924
00:52:28,960 --> 00:52:29,799
Speaker 3: of you know, you mean.

925
00:52:29,760 --> 00:52:31,680
Speaker 1: Find a greater progress for society.

926
00:52:31,800 --> 00:52:34,760
Speaker 3: Yes, I feel like, is there is there a weird

927
00:52:35,200 --> 00:52:41,120
Speaker 3: experiment that's about to take place where Mississippi suddenly becomes yeah, yeah,

928
00:52:40,880 --> 00:52:44,560
Speaker 3: the economics, like you know what I'm saying, does something

929
00:52:44,600 --> 00:52:47,840
Speaker 3: weird happen in the negativity? You know what I'm saying? Like,

930
00:52:47,880 --> 00:52:51,479
Speaker 3: so I think that, like, and also, we've never every

931
00:52:51,480 --> 00:52:54,279
Speaker 3: time we come close to you know, I always think

932
00:52:54,320 --> 00:52:56,680
Speaker 3: back to like the watermelon farming thing, right, and like

933
00:52:56,760 --> 00:52:58,360
Speaker 3: how that's how we made our money. And then all

934
00:52:58,400 --> 00:52:59,680
Speaker 3: of a sudden they were just like only black people.

935
00:52:59,719 --> 00:53:04,040
Speaker 3: He didn't they tank the you know? So I genuinely

936
00:53:04,080 --> 00:53:07,120
Speaker 3: wonder and again there will be mass surveillance on this thing.

937
00:53:07,160 --> 00:53:09,600
Speaker 3: I don't believe that. And and also the fact that

938
00:53:09,640 --> 00:53:12,879
Speaker 3: they are lumping us in with Native Americans clearly means

939
00:53:12,880 --> 00:53:14,719
Speaker 3: that there is there's a very.

940
00:53:14,560 --> 00:53:15,960
Speaker 1: Low them out.

941
00:53:16,960 --> 00:53:19,960
Speaker 3: I'm saying that's what I'm saying. So it's like there

942
00:53:20,040 --> 00:53:23,040
Speaker 3: is a fear to it, but if there's a positive

943
00:53:23,040 --> 00:53:26,320
Speaker 3: spin to take, or if there's a positive outlook.

944
00:53:29,000 --> 00:53:30,200
Speaker 1: The university.

945
00:53:31,760 --> 00:53:35,520
Speaker 3: More corn dishes. I don't really know Native American cuisine

946
00:53:35,640 --> 00:53:38,080
Speaker 3: like that. I know corn one.

947
00:53:37,960 --> 00:53:39,160
Speaker 1: Of the darker Mexicans.

948
00:53:39,480 --> 00:53:47,920
Speaker 18: Oh okay, then we go, yeah, everybody did this, We're

949
00:53:47,960 --> 00:53:54,759
Speaker 18: coming out.

950
00:53:56,840 --> 00:54:00,000
Speaker 8: He pronounces it differently, but.

951
00:54:03,239 --> 00:54:03,600
Speaker 1: I don't know.

952
00:54:03,640 --> 00:54:05,719
Speaker 3: I find it. I find it very interesting though. But

953
00:54:05,760 --> 00:54:08,680
Speaker 3: it was the first you know, like I know, it's

954
00:54:08,719 --> 00:54:12,440
Speaker 3: easy to like, you know, especially for us to like

955
00:54:12,480 --> 00:54:14,440
Speaker 3: look at things and be like, what's this, what's this?

956
00:54:14,480 --> 00:54:16,120
Speaker 3: What you know, like and I'm connected dots. But it

957
00:54:16,160 --> 00:54:17,839
Speaker 3: was the first time in a long time I saw

958
00:54:17,920 --> 00:54:20,560
Speaker 3: this thing and I was like, oh, this is the

959
00:54:20,640 --> 00:54:25,520
Speaker 3: quote unquote red line that goes, yeah, the little rail line.

960
00:54:25,640 --> 00:54:30,160
Speaker 8: What does make me excited when I hear that is

961
00:54:30,200 --> 00:54:33,160
Speaker 8: that we have spent so much time, in the sort

962
00:54:33,200 --> 00:54:36,400
Speaker 8: of most royal sense of that, we have spent so

963
00:54:36,520 --> 00:54:39,480
Speaker 8: much time sort of living in a white system, yes,

964
00:54:39,560 --> 00:54:44,440
Speaker 8: without making major forward progress, right, And so the possibility

965
00:54:44,440 --> 00:54:47,920
Speaker 8: of exploring a system, even if it won one logically

966
00:54:48,080 --> 00:54:50,719
Speaker 8: that like sits wrong with me, it is kind of

967
00:54:50,760 --> 00:54:53,560
Speaker 8: exciting to be like, well, shit, we ain't we ain't

968
00:54:53,560 --> 00:54:54,080
Speaker 8: try it yet.

969
00:54:54,600 --> 00:54:58,799
Speaker 2: To develop without meddling feels like, right, like there's all

970
00:54:58,880 --> 00:54:59,759
Speaker 2: kinds of possibilities.

971
00:55:00,160 --> 00:55:02,040
Speaker 1: Yeah, I feel like you said, who knows what it

972
00:55:02,080 --> 00:55:02,440
Speaker 1: could come?

973
00:55:02,760 --> 00:55:06,319
Speaker 3: Yeah, but we've also there's two things, like there's like

974
00:55:06,480 --> 00:55:09,000
Speaker 3: the jellyfish theory of it, right, where it's like we

975
00:55:09,160 --> 00:55:13,239
Speaker 3: evolve separately than everything else but at the same rate

976
00:55:13,320 --> 00:55:16,640
Speaker 3: and have the same level intelligence whatever, right, Sure, And

977
00:55:16,680 --> 00:55:20,360
Speaker 3: it's also it's not like we haven't been exposed to

978
00:55:20,880 --> 00:55:24,360
Speaker 3: all of this, right, Like it's not like we don't

979
00:55:24,400 --> 00:55:27,520
Speaker 3: have their textbooks and all that stuff, but like all

980
00:55:27,560 --> 00:55:31,960
Speaker 3: of them have been written with a very specific directive

981
00:55:31,960 --> 00:55:33,960
Speaker 3: in mind, right, And so like what happens if we

982
00:55:34,040 --> 00:55:37,680
Speaker 3: are truly given the chance to break that open? And

983
00:55:37,800 --> 00:55:41,040
Speaker 3: I don't know, I like, I'm not I'm not super

984
00:55:41,040 --> 00:55:43,480
Speaker 3: hopeful for it, but I do think that there is

985
00:55:44,040 --> 00:55:48,400
Speaker 3: there is a discussion worth having about what it could do.

986
00:55:48,440 --> 00:55:51,960
Speaker 8: You see a possibility of a silver lining regardless of

987
00:55:52,239 --> 00:55:55,080
Speaker 8: you know, the bleak sort of like yeah, whatever sky

988
00:55:55,160 --> 00:55:55,719
Speaker 8: it sits on.

989
00:55:55,840 --> 00:55:58,480
Speaker 3: And I also think that at the very least, uh uh,

990
00:55:59,120 --> 00:56:02,080
Speaker 3: you know, may maybe a new Panthers, maybe a new

991
00:56:02,120 --> 00:56:06,000
Speaker 3: weather underground, maybe a new whatever evolves from this. You

992
00:56:06,040 --> 00:56:07,440
Speaker 3: know what I'm saying, Just like a.

993
00:56:07,520 --> 00:56:10,920
Speaker 1: More a larger scale, right with him? Yes, yeah exactly,

994
00:56:10,920 --> 00:56:12,240
Speaker 1: it's like that's that is exciting.

995
00:56:12,360 --> 00:56:21,239
Speaker 3: Yeah, but like yo, native American Chris Tucker man your

996
00:56:21,360 --> 00:56:22,719
Speaker 3: rush hour five, let's go.

997
00:56:23,120 --> 00:56:38,919
Speaker 1: It's Jackie Chan with a chipplewall. Yeah. Yeah, he didn't

998
00:56:38,920 --> 00:56:39,719
Speaker 1: know you couldn't do that.

999
00:56:42,040 --> 00:56:43,720
Speaker 8: All right, we need to take one more break.

1000
00:56:43,760 --> 00:56:45,360
Speaker 1: We'll be back with more, Yes, Lester Mo.

1001
00:56:45,520 --> 00:56:57,280
Speaker 17: My mama told me, would you say that you're racist?

1002
00:56:57,520 --> 00:57:01,280
Speaker 1: Not at all. No, him a dog. He's as black

1003
00:57:01,320 --> 00:57:04,360
Speaker 1: as can be and whereas black as can be. Welcome

1004
00:57:04,360 --> 00:57:05,359
Speaker 1: back to my mom and.

1005
00:57:05,360 --> 00:57:07,640
Speaker 8: Told me you get better and better every time.

1006
00:57:07,680 --> 00:57:11,160
Speaker 1: I'm really working on my craft. Man, Thank you, appreciate man.

1007
00:57:11,360 --> 00:57:13,680
Speaker 3: It's just you and dead Kevin Sambuel.

1008
00:57:15,760 --> 00:57:19,000
Speaker 1: Oh you think he's dead. Okay, that's part two. Wake

1009
00:57:19,080 --> 00:57:25,440
Speaker 1: up brother, that's part in the administration. Now, have some subreddits.

1010
00:57:26,920 --> 00:57:30,240
Speaker 3: I would say it would be a great way to

1011
00:57:30,480 --> 00:57:33,480
Speaker 3: tank the black value of Red Bull and then have

1012
00:57:33,600 --> 00:57:37,920
Speaker 3: him come back and be a spokesperson for Celsius, who.

1013
00:57:40,040 --> 00:57:44,560
Speaker 8: Like, what's the blackest energy drink? It's like when the

1014
00:57:44,680 --> 00:57:46,240
Speaker 8: Verizon guy flipped to Spring.

1015
00:57:46,280 --> 00:57:46,480
Speaker 1: Yeah.

1016
00:57:46,560 --> 00:57:48,720
Speaker 3: Yeah, the blackest energy drink.

1017
00:57:49,200 --> 00:57:52,720
Speaker 1: Man, that's a good question. I don't have a juice.

1018
00:57:53,000 --> 00:57:57,800
Speaker 1: Come on, man, you're not going to take the question seriously.

1019
00:58:01,280 --> 00:58:03,280
Speaker 3: Yeah, I was just I was gonna say coffee and

1020
00:58:03,360 --> 00:58:03,920
Speaker 3: a ticket.

1021
00:58:04,000 --> 00:58:08,560
Speaker 1: No, no, I never bought a crump juice.

1022
00:58:09,480 --> 00:58:13,720
Speaker 3: I'm from Georgia though. To you did the gas can thing.

1023
00:58:14,320 --> 00:58:16,520
Speaker 3: I was nineteen, so there was no liquor in it.

1024
00:58:16,560 --> 00:58:19,840
Speaker 3: So I was just drinking crump juice.

1025
00:58:20,120 --> 00:58:21,640
Speaker 1: I was just a big gas Yeah.

1026
00:58:21,800 --> 00:58:25,480
Speaker 3: I was drinking regular crump juice out of the gas Yeah, there.

1027
00:58:25,360 --> 00:58:27,840
Speaker 1: Was no liquor in it. Yeah, no, No, I was energy.

1028
00:58:27,920 --> 00:58:29,960
Speaker 3: Yeah yeah, I know, but like you didn't. Yeah, you

1029
00:58:29,960 --> 00:58:32,240
Speaker 3: were supposed to mix it. Yeah yeah, I'm saying I

1030
00:58:32,280 --> 00:58:35,080
Speaker 3: did not, So I was. I was essentially drinking a

1031
00:58:35,200 --> 00:58:49,240
Speaker 3: regular beverage, yes exactly. I was just really excited. Yeah.

1032
00:58:49,360 --> 00:58:59,040
Speaker 1: Yeah, body, yeah, STU grape juice out of the time

1033
00:59:01,200 --> 00:59:02,280
Speaker 1: like that.

1034
00:59:03,640 --> 00:59:05,840
Speaker 8: We have a we have a voicemail from one of

1035
00:59:05,840 --> 00:59:06,520
Speaker 8: our listeners.

1036
00:59:06,560 --> 00:59:08,560
Speaker 1: Let's play it now, y'all.

1037
00:59:08,560 --> 00:59:14,840
Speaker 4: That voicemail is absolutely it's that's stupid. I'm calling.

1038
00:59:16,440 --> 00:59:17,800
Speaker 2: I want to be on the record and saying I

1039
00:59:17,800 --> 00:59:20,400
Speaker 2: don't like this. I think this is going to be bad. Okay,

1040
00:59:20,440 --> 00:59:21,280
Speaker 2: I don't like it at all.

1041
00:59:21,360 --> 00:59:24,240
Speaker 1: Right from the beginning, you don't someone it bothers me.

1042
00:59:24,320 --> 00:59:26,320
Speaker 8: Okay, all right, I'm like, I want to throw it

1043
00:59:26,400 --> 00:59:32,960
Speaker 8: back on you spoke. Now, you got no chance with

1044
00:59:33,080 --> 00:59:34,800
Speaker 8: this person whose voice you've heard once.

1045
00:59:35,520 --> 00:59:38,919
Speaker 4: I have a theory, and my mom did not tell

1046
00:59:38,920 --> 00:59:44,280
Speaker 4: me this, but I've I've observed this that I think

1047
00:59:44,320 --> 00:59:49,360
Speaker 4: the reason gen Z is so obsessed with doing the

1048
00:59:49,440 --> 00:59:57,720
Speaker 4: climate is because we were pumped penguin propaganda in our youth.

1049
00:59:58,720 --> 01:00:03,040
Speaker 4: Because from my understanding or from what I can recount,

1050
01:00:03,760 --> 01:00:10,200
Speaker 4: there has been upwards of ten movies dedicated to penguins

1051
01:00:10,760 --> 01:00:15,720
Speaker 4: that came out in early two thousand and this was, like,

1052
01:00:15,840 --> 01:00:17,680
Speaker 4: you know, around the time where people were really saying

1053
01:00:17,720 --> 01:00:21,880
Speaker 4: global warming is real and the ice caps are melting.

1054
01:00:21,920 --> 01:00:24,040
Speaker 4: And I think that's why gen Z cares so deeply

1055
01:00:24,080 --> 01:00:27,960
Speaker 4: about it, because we were we were told about it

1056
01:00:28,160 --> 01:00:31,680
Speaker 4: and pushed heavily about it. Anyway, I'm going to name

1057
01:00:31,680 --> 01:00:35,280
Speaker 4: some penguin movies. March of the Penguins, Happy Feed, Happy Feed,

1058
01:00:35,280 --> 01:00:38,840
Speaker 4: to Madagascar one, two and three the Penguins.

1059
01:00:41,120 --> 01:00:43,680
Speaker 1: Okay, let's take a second, because.

1060
01:00:46,560 --> 01:00:49,480
Speaker 3: Zoo movie. Yes, first of all, and.

1061
01:00:49,440 --> 01:00:50,960
Speaker 1: The penguins do play a major part.

1062
01:00:51,080 --> 01:00:55,040
Speaker 8: Let's let us not discredit their contract with movie though movie.

1063
01:00:54,920 --> 01:00:55,960
Speaker 3: Is crazy crazy.

1064
01:00:56,160 --> 01:00:56,360
Speaker 19: Yeah.

1065
01:00:56,440 --> 01:00:58,920
Speaker 3: I mean that is like saying The Lion King is

1066
01:00:58,920 --> 01:01:00,160
Speaker 3: a two can movie.

1067
01:01:00,400 --> 01:01:03,000
Speaker 1: Yeah, what are we trying about?

1068
01:01:03,080 --> 01:01:14,400
Speaker 3: And that's how the ba.

1069
01:01:10,200 --> 01:01:14,120
Speaker 8: I'm looking at this thing.

1070
01:01:15,480 --> 01:01:16,640
Speaker 1: I don't have enough confidence.

1071
01:01:19,440 --> 01:01:22,440
Speaker 8: Very it's generous to call it a penguin film.

1072
01:01:23,000 --> 01:01:27,240
Speaker 3: It's also generous as a premise to say you care

1073
01:01:27,280 --> 01:01:31,560
Speaker 3: about the Earth's demise because of some pain.

1074
01:01:31,720 --> 01:01:33,720
Speaker 1: That's why that's what I'm saying.

1075
01:01:34,880 --> 01:01:38,880
Speaker 3: It's if I'm not if I'm in a house that's

1076
01:01:38,920 --> 01:01:43,760
Speaker 3: on fire, I'm not like, oh I care about this

1077
01:01:44,280 --> 01:01:46,440
Speaker 3: because I met a fire.

1078
01:01:47,480 --> 01:01:51,080
Speaker 1: When I was six, I watched a lot of movies.

1079
01:01:53,400 --> 01:01:58,000
Speaker 3: Yeah what a like? I sorry, I cut you guys.

1080
01:01:59,200 --> 01:01:59,760
Speaker 3: I think that.

1081
01:02:00,640 --> 01:02:04,600
Speaker 8: I think that while I agree that there were a

1082
01:02:04,640 --> 01:02:07,840
Speaker 8: lot of penguin films during an era, I think it's

1083
01:02:07,840 --> 01:02:10,400
Speaker 8: the same way that there are like multiple types of

1084
01:02:10,480 --> 01:02:13,120
Speaker 8: movies that just sort of happened, and people ride each

1085
01:02:13,120 --> 01:02:13,960
Speaker 8: other's ways.

1086
01:02:13,800 --> 01:02:15,280
Speaker 1: Teaching white girls to dance movies.

1087
01:02:15,280 --> 01:02:20,360
Speaker 2: There's all kinds of multiple everybody off everything that like movies.

1088
01:02:20,920 --> 01:02:36,240
Speaker 10: The seeping off every no freaking pause, Broski, sucking.

1089
01:02:35,920 --> 01:02:38,840
Speaker 1: Off the Penguin movie.

1090
01:02:40,320 --> 01:02:42,680
Speaker 2: Just as you said, yet, which is my favor.

1091
01:02:44,080 --> 01:02:47,919
Speaker 8: That I can't imagine if she had Madagascar on the list,

1092
01:02:47,920 --> 01:02:52,200
Speaker 8: she's gonna miss something, though. That's fair. Madagascar was early.

1093
01:02:52,480 --> 01:02:54,960
Speaker 2: This might be a case of you know, we always

1094
01:02:54,960 --> 01:02:57,800
Speaker 2: tell people to call and drunk mm.

1095
01:02:57,840 --> 01:03:03,200
Speaker 8: And she was like, fucking penguin, Penguin, penguin, a Guscart.

1096
01:03:02,560 --> 01:03:12,520
Speaker 3: Penguin, Batman returns.

1097
01:03:09,360 --> 01:03:09,800
Speaker 1: Come go on?

1098
01:03:10,040 --> 01:03:11,120
Speaker 3: Can we go on an animation tip?

1099
01:03:11,120 --> 01:03:11,520
Speaker 1: Real quick?

1100
01:03:11,600 --> 01:03:17,760
Speaker 3: Yeah, Bory, my good friend told me years ago, but

1101
01:03:17,960 --> 01:03:20,880
Speaker 3: maybe a year ago. He said, you have to see

1102
01:03:20,920 --> 01:03:24,960
Speaker 3: The Wild Robot. Mmmm. Yeah, And I was like, that's

1103
01:03:25,000 --> 01:03:27,680
Speaker 3: so interesting. Like I know you as someone who was

1104
01:03:27,760 --> 01:03:30,080
Speaker 3: like there's no reason for this movie to have and

1105
01:03:30,160 --> 01:03:31,800
Speaker 3: you were like, I went to the theater. It was

1106
01:03:31,800 --> 01:03:33,200
Speaker 3: just something, and you were like, I go see movies

1107
01:03:33,200 --> 01:03:36,920
Speaker 3: on the road. You're like, it's incredible. I watched Wild

1108
01:03:37,000 --> 01:03:46,800
Speaker 3: Robot and I cried in a way I mean it, sincerely,

1109
01:03:47,320 --> 01:03:50,360
Speaker 3: go to therapy. I do all all the emotional things

1110
01:03:50,360 --> 01:03:53,000
Speaker 3: that you were supposed to do. I cried in a

1111
01:03:53,040 --> 01:03:56,280
Speaker 3: way that was relieving.

1112
01:03:57,240 --> 01:03:58,280
Speaker 1: You actually cried.

1113
01:03:58,400 --> 01:04:01,520
Speaker 3: I cried in a way that like I felt like,

1114
01:04:01,960 --> 01:04:03,760
Speaker 3: have you ever had have you ever done like a

1115
01:04:04,800 --> 01:04:08,000
Speaker 3: breath I'm saying breathalyzer, but that you know makes you

1116
01:04:08,040 --> 01:04:10,160
Speaker 3: think of like alcohol, But I mean like a sorry

1117
01:04:10,200 --> 01:04:14,080
Speaker 3: an air like lum nebulizer. You ever done an nebulizer

1118
01:04:14,240 --> 01:04:16,240
Speaker 3: and you like cough and you go like I have

1119
01:04:16,360 --> 01:04:19,320
Speaker 3: not felt like that in forever, Like whatever that was

1120
01:04:19,360 --> 01:04:22,880
Speaker 3: inside of me, That's what my cry for Wild Robot was.

1121
01:04:23,040 --> 01:04:26,400
Speaker 3: I was like that that. Yeah, I was like that.

1122
01:04:26,560 --> 01:04:30,520
Speaker 3: There therese were tears in my ducts that like have

1123
01:04:30,720 --> 01:04:33,440
Speaker 3: just been sitting there and calcified. I was crying rocks

1124
01:04:33,480 --> 01:04:34,040
Speaker 3: for It.

1125
01:04:36,160 --> 01:04:40,960
Speaker 8: Was a thing when you are crying without a filter.

1126
01:04:41,280 --> 01:04:42,160
Speaker 3: Yeah, yeah, you know what I mean.

1127
01:04:43,160 --> 01:04:46,680
Speaker 1: My tears are like I'm crying, but my wife is here, right,

1128
01:04:46,880 --> 01:04:48,200
Speaker 1: so I'm going to keep this together.

1129
01:04:50,440 --> 01:04:54,280
Speaker 8: Yeah I can cry, but I can't let the whole

1130
01:04:54,400 --> 01:04:55,280
Speaker 8: fucking faucet.

1131
01:04:55,480 --> 01:05:00,320
Speaker 2: Yeah, and cry a moment like like like a baby, yeah,

1132
01:05:00,720 --> 01:05:01,560
Speaker 2: with no judgment.

1133
01:05:02,120 --> 01:05:06,080
Speaker 3: But I wasn't even because I I was not screaming,

1134
01:05:06,160 --> 01:05:08,800
Speaker 3: though I should have been. I could have easily been screaming.

1135
01:05:09,480 --> 01:05:13,480
Speaker 3: I couldn't even like I couldn't even have enough breath

1136
01:05:14,040 --> 01:05:16,440
Speaker 3: to cry as much as I wanted to cry, and

1137
01:05:16,560 --> 01:05:19,360
Speaker 3: I was like, I think AI is good.

1138
01:05:20,320 --> 01:05:23,320
Speaker 1: No, that's why the movie I'm.

1139
01:05:23,200 --> 01:05:26,360
Speaker 3: Kidding, like it was like to the penguin propaganda. The

1140
01:05:27,160 --> 01:05:29,120
Speaker 3: joke slash thing that I really did want to bring

1141
01:05:29,200 --> 01:05:32,320
Speaker 3: up was that, like it is it is softening what

1142
01:05:32,480 --> 01:05:36,080
Speaker 3: we think about, like a robot in the house. And

1143
01:05:36,120 --> 01:05:37,880
Speaker 3: I was like, because I was crying and I was like,

1144
01:05:37,880 --> 01:05:38,160
Speaker 3: wait a.

1145
01:05:38,120 --> 01:05:41,439
Speaker 19: Minute, man, these are real animals in this little There's

1146
01:05:41,480 --> 01:05:44,520
Speaker 19: so much around, Like, there's so much subtle ship in

1147
01:05:44,560 --> 01:05:46,400
Speaker 19: that movie too, when the ducks are flying in San

1148
01:05:46,440 --> 01:05:49,120
Speaker 19: Francisco's underwater and you're like, what the fuck is it?

1149
01:05:50,160 --> 01:05:52,720
Speaker 2: I gotta chill. That movie came at a crazy time.

1150
01:05:53,680 --> 01:05:55,600
Speaker 2: I was, I was dealing with the murder. There was

1151
01:05:55,640 --> 01:05:58,800
Speaker 2: a lot going on, sure, but it's also yeah, that

1152
01:05:58,840 --> 01:06:02,200
Speaker 2: movie hits you, and there's so complicated because it is good.

1153
01:06:02,240 --> 01:06:04,720
Speaker 1: It's really good. It's really really good.

1154
01:06:04,600 --> 01:06:10,560
Speaker 3: To watch it as a father, as a father of children.

1155
01:06:10,720 --> 01:06:13,760
Speaker 1: Bro, they are children, Yeah, yeah you think.

1156
01:06:15,440 --> 01:06:19,320
Speaker 10: That episode you should watch it?

1157
01:06:19,400 --> 01:06:26,200
Speaker 8: Though it is my my my daughter is four. It

1158
01:06:26,320 --> 01:06:29,240
Speaker 8: is not an easy cell for a four year old.

1159
01:06:30,000 --> 01:06:32,760
Speaker 8: It's actually well if they talk more than you think though,

1160
01:06:33,160 --> 01:06:37,320
Speaker 8: But but the the opening of it is so sort

1161
01:06:37,320 --> 01:06:40,960
Speaker 8: of like intentional and sort of like beautiful and slow.

1162
01:06:41,600 --> 01:06:45,920
Speaker 8: That ain't how kids watch uh it. She wants her

1163
01:06:45,960 --> 01:06:48,560
Speaker 8: ship right when when the movie starts. And if it

1164
01:06:48,560 --> 01:06:51,080
Speaker 8: ain't that, then turn this off so we can watch

1165
01:06:52,480 --> 01:06:54,080
Speaker 8: whatever she saw Zootopia to.

1166
01:06:54,200 --> 01:06:59,240
Speaker 1: She rocked with love. Yeah, she said.

1167
01:06:59,280 --> 01:07:02,240
Speaker 3: One time this nigga was raised in cop lovers bro

1168
01:07:02,560 --> 01:07:05,400
Speaker 3: One time this nigga took his daughter to Utopia. She

1169
01:07:05,440 --> 01:07:06,760
Speaker 3: was wearing a bro.

1170
01:07:19,960 --> 01:07:22,240
Speaker 8: Let's finish this voicemail. But I think I think we

1171
01:07:22,360 --> 01:07:22,760
Speaker 8: know what.

1172
01:07:22,680 --> 01:07:28,400
Speaker 4: This this is mister Penguin. Shout out to Club Penguin.

1173
01:07:29,120 --> 01:07:33,520
Speaker 4: And if anyone knows the Pebble and the Penguin that

1174
01:07:33,600 --> 01:07:37,800
Speaker 4: one as well. I've said penguin so many times. Yeah,

1175
01:07:37,840 --> 01:07:40,200
Speaker 4: that's fine, that's my conspiracy.

1176
01:07:41,480 --> 01:07:45,560
Speaker 3: It's not if you take Madagascar out of it. That's

1177
01:07:45,560 --> 01:07:48,600
Speaker 3: for examples. You're like, wow, that is I would argue

1178
01:07:49,200 --> 01:07:54,040
Speaker 3: a well informed thought. But then you just you know,

1179
01:07:54,080 --> 01:07:58,280
Speaker 3: you just like it feels very uh what's a confirmation bias?

1180
01:07:59,000 --> 01:08:00,000
Speaker 3: Like you're just saying that they.

1181
01:08:01,520 --> 01:08:02,520
Speaker 1: Alone. Yeah.

1182
01:08:03,040 --> 01:08:06,000
Speaker 8: Well, I think I think very often movies are making

1183
01:08:06,120 --> 01:08:09,160
Speaker 8: films about animals that you can train a little bit

1184
01:08:09,680 --> 01:08:11,520
Speaker 8: and I think that there are only like eight of

1185
01:08:11,600 --> 01:08:13,840
Speaker 8: them that we can even train to be on.

1186
01:08:13,880 --> 01:08:15,479
Speaker 1: Camera most of the time.

1187
01:08:15,600 --> 01:08:19,280
Speaker 8: And so like any of the live action ones, penguins,

1188
01:08:19,640 --> 01:08:24,640
Speaker 8: fucking whales, dolphins, a dog, a horse like those, you

1189
01:08:24,760 --> 01:08:27,719
Speaker 8: can get to do some stuff. Nobody's making them about

1190
01:08:27,800 --> 01:08:31,080
Speaker 8: fucking tigers because you can't really, you can't get them

1191
01:08:31,080 --> 01:08:32,080
Speaker 8: to be.

1192
01:08:31,960 --> 01:08:35,720
Speaker 2: The penguins was like a documentary. Yeah, it's like a documentary, right,

1193
01:08:35,960 --> 01:08:40,679
Speaker 2: And they trained the ship out of those penguins. Morgan

1194
01:08:40,720 --> 01:08:43,160
Speaker 2: Freeman had them fucking work.

1195
01:08:43,439 --> 01:08:45,080
Speaker 1: He seems like a harsh penguin master.

1196
01:08:45,280 --> 01:08:48,080
Speaker 8: Yeah.

1197
01:08:45,560 --> 01:08:50,439
Speaker 3: Yeah, we talked about the full time Nazi March of

1198
01:08:50,479 --> 01:08:51,000
Speaker 3: the Penguins.

1199
01:08:52,200 --> 01:09:00,519
Speaker 8: You don't know, Yeah, yeah, so I think we did it.

1200
01:09:01,439 --> 01:09:05,360
Speaker 3: I think we did. You know, I feel like there's more.

1201
01:09:07,000 --> 01:09:08,760
Speaker 8: Because you tell the people where they can find you.

1202
01:09:08,880 --> 01:09:09,720
Speaker 1: Was ship you got going?

1203
01:09:09,840 --> 01:09:12,559
Speaker 3: Yeah? I have a new podcast on Turning Point, USA.

1204
01:09:12,800 --> 01:09:17,439
Speaker 3: It is called Big Daddy Hours. Uh it's me and Erica.

1205
01:09:20,120 --> 01:09:23,000
Speaker 1: You know, we talked about some stuff.

1206
01:09:27,720 --> 01:09:29,880
Speaker 3: But sorry, sorry, and all seriousness. I did start working

1207
01:09:29,880 --> 01:09:37,320
Speaker 3: for the administration. We have a new podcast, yeah, this

1208
01:09:37,360 --> 01:09:41,160
Speaker 3: one features the Erica. Now I'm on Instagram. Yeah, I'm

1209
01:09:41,160 --> 01:09:46,519
Speaker 3: a score Lester. Please watch things that I've been in.

1210
01:09:46,640 --> 01:09:51,280
Speaker 3: I guess uh, and thanks for having me, y'all. I'm

1211
01:09:51,360 --> 01:09:54,160
Speaker 3: glad you moved. I'm sure everyone knows that you moved.

1212
01:09:53,880 --> 01:09:58,080
Speaker 1: Back, but I didn't announced. I keep it tight.

1213
01:09:58,680 --> 01:10:02,759
Speaker 3: I'm personally glad back. Are you an AMC pass number?

1214
01:10:03,160 --> 01:10:04,439
Speaker 1: No? But I like going to the movies.

1215
01:10:04,560 --> 01:10:06,840
Speaker 3: Okay, well no, that's some fire out right now.

1216
01:10:06,880 --> 01:10:08,720
Speaker 1: I'll be trying to get you to go. I'm trying

1217
01:10:08,760 --> 01:10:09,240
Speaker 1: to like going on.

1218
01:10:10,160 --> 01:10:11,479
Speaker 3: So I got to get a line up.

1219
01:10:11,680 --> 01:10:13,479
Speaker 1: Yeah, what about it?

1220
01:10:14,000 --> 01:10:16,479
Speaker 3: I got to get a lineup. You're calling the movie?

1221
01:10:16,479 --> 01:10:24,800
Speaker 1: I got a week? What you got nothing? All right?

1222
01:10:25,600 --> 01:10:27,920
Speaker 1: I don't know because we don't know when this comes out. Yeah.

1223
01:10:28,040 --> 01:10:30,799
Speaker 8: Follow me at Langston Kerman on all social media platforms.

1224
01:10:30,840 --> 01:10:32,280
Speaker 8: You can see me still on tour.

1225
01:10:32,720 --> 01:10:36,840
Speaker 3: The Aspiring Deadbeat Tour continues into twenty twenty six. Lots

1226
01:10:36,840 --> 01:10:38,320
Speaker 3: of cities for you to enjoy.

1227
01:10:38,680 --> 01:10:42,360
Speaker 8: Uh and uh send us your drops, your conspiracies, give

1228
01:10:42,439 --> 01:10:45,400
Speaker 8: us it. Just give us a call at eight four

1229
01:10:45,479 --> 01:10:48,760
Speaker 8: four Little Moms and give us an email at my

1230
01:10:48,920 --> 01:10:53,120
Speaker 8: Mama pot at gmail dot com. By the March, get

1231
01:10:53,200 --> 01:11:06,200
Speaker 8: movie passed by Bitch by my Mama told me is

1232
01:11:06,240 --> 01:11:10,040
Speaker 8: a production of Will Ferrell's Big Money Players Network and

1233
01:11:10,560 --> 01:11:12,320
Speaker 8: iHeart podcast.

1234
01:11:12,080 --> 01:11:15,920
Speaker 1: Creetd and hosted by Langston Krag, co hosted by David Bori.

1235
01:11:16,280 --> 01:11:20,320
Speaker 2: Executive produced by Will Ferrell, Hansani and Joel Monique.

1236
01:11:20,479 --> 01:11:22,640
Speaker 8: Co produced by Bee Wayne.

1237
01:11:22,600 --> 01:11:24,640
Speaker 1: Edited and engineered by Justin.

1238
01:11:24,439 --> 01:11:27,120
Speaker 8: Kohne, music by Nick Chambers.

1239
01:11:27,040 --> 01:11:28,639
Speaker 1: Artwork by Dogon Kremer.

1240
01:11:28,920 --> 01:11:31,640
Speaker 8: You can now watch episodes of My Mama Told Me

1241
01:11:31,760 --> 01:11:36,040
Speaker 8: on YouTube. Follow at My Mama Told Me and subscribe

1242
01:11:36,080 --> 01:11:36,839
Speaker 8: to our channel