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Speaker 1: Did you see be just yet?

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Speaker 2: I did not.

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Speaker 3: I saw Transformers one. Oh did you see Beat going tonight? Oh?

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Speaker 1: To night? To Transformers one? They call it Transformers down here,

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Speaker 1: and you.

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Speaker 3: Thought it was Transformers one, you know up here as well?

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Speaker 3: Oh wait, wait a second Transformed there's two different Transformers movies. Yeah,

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Speaker 3: there's one and then there you know and one.

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Speaker 1: Yeah.

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Speaker 3: I thought it was a crossover with the you know

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Speaker 3: the game. Yeah yeah, Transformers who know? Is just Transformers around,

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Speaker 3: you know for ninety minutes.

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Speaker 1: I am now, I'm like, I have to look up

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Speaker 1: Transformers who Know. It's got to deck.

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Speaker 3: Yeah, I mean there's no flip Transformers Star. There's know

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Speaker 3: for everything they did the they monopoly that ship.

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Speaker 1: They were like with we can your kids like your

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Speaker 1: kids like they know mm hmm yeah, I'm I think

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Speaker 1: that's like one of the few games that has the

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Speaker 1: same adrenaline rush from childhood into adulthood, like in terms of.

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Speaker 4: Just straight up kid card games.

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Speaker 3: Ah, when you do the like and reverse and pick

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Speaker 3: five and I'm out, yeah.

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Speaker 1: For real, to the point where I only I only

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Speaker 1: play for the biggest high in Uno, Like I just

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Speaker 1: filled my hand with just death cards like and I'll wait.

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Speaker 1: I'll wait because I just want to build a hand

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Speaker 1: to just go out with it.

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Speaker 4: It's like my fucking favorite. I don't know why.

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Speaker 1: I think it's like rope adoping somebody, you know what

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Speaker 1: I mean?

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Speaker 3: In a card game, man, I just got so many

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Speaker 3: of these dang cards.

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Speaker 1: You have three cards up, I have ten? No way

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Speaker 1: draw for reverse blue switch. Fuck you, I'm out peace.

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Speaker 1: That's that real ship. Because you know why, I think

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Speaker 1: as adults would make they would I would cry when

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Speaker 1: they would do that ship to me that like I

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Speaker 1: was forged in those fires that now like when I

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Speaker 1: do it, like yeah, like younger family members, bro, I'm

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Speaker 1: a fuck you. All the adults, especially on my dad's side,

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Speaker 1: there was no mercy for children in card games. Like

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Speaker 1: they're like, well, we can go easy on them. They're

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Speaker 1: like yeah, no, they were. It was like they were like,

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Speaker 1: you know, my grandmother Michael Jordan's ship. She's like, what's up, Hope,

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Speaker 1: He's we get that ship.

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Speaker 3: Oh we got a bitch tonight. As you sit down

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Speaker 3: to the table.

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Speaker 1: Played to play scrabble, she's like cracking her knuckles and ship,

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Speaker 1: She's this motherfucker can't read.

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Speaker 3: Hello the Internet and welcome to this week trend edition

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Speaker 3: of Guys. Yeah, production by Heart Radio. It's the podcast

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Speaker 3: where we take deep to have into American share consciousness.

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Speaker 3: And this is the episode where we tell you what

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Speaker 3: wasding over the weekend. My name is, of course Jack,

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Speaker 3: and that over there, well, that of course is my

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Speaker 3: co host, mister Miles.

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Speaker 1: Yeah, nitrous oxide veteran. Wanting to your kids out really.

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Speaker 3: Quick by telling them how to do it by you're

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Speaker 3: doing it wrong.

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Speaker 1: Get a big ass balloon. Stop hitting it from the can.

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Speaker 4: It's more fun with the balloon, more fish.

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Speaker 1: Anyway. Yeah, what a weekend?

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Speaker 3: What a weekend?

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Speaker 1: I'm forty years old and one week old now, I

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Speaker 1: like to think of it like that.

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Speaker 4: I'm just going to start doing this every week.

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Speaker 1: I'm forty years.

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Speaker 4: And two weeks now.

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Speaker 1: Correct.

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Speaker 3: Well, this is the episode where we tell you, guys,

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Speaker 3: what is trending, what happened over the weekend. We also

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Speaker 3: get to know you a little better by telling you

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Speaker 3: what is something we think is underrated? What is something

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Speaker 3: we think is overrated? Miles, you want to tell them

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Speaker 3: something you think is under over dealers choice, what do

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Speaker 3: you want to start with?

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Speaker 1: Let's do under rated and I think the youth are

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Speaker 1: underrating how terrible doing.

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Speaker 4: Nitrous oxide is for you.

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Speaker 1: Yeah, on Friday, right, I was like looking at Twitter

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Speaker 1: and Sizza, you know, fantastic vocalists, Hilarious.

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Speaker 3: I'm tweeting out about Sis's latest album very late, but

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Speaker 3: bangers on this.

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Speaker 4: Look, you gotta look, there's a lot of music out there.

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Speaker 4: We're not kids anymore.

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Speaker 1: We're waiting on the Tuesday when music would drop and

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Speaker 1: be like, did you go to Sam Goodie and get

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Speaker 1: the CD?

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Speaker 4: Because it's like seventy things that come out every day.

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Speaker 1: Anyway, she tweeted, sorry to be old and annoying, but

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Speaker 1: is no one going to talk about how galaxy gas

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Speaker 1: came out of nowhere and is being mass marketed to

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Speaker 1: black children? The government is doing nothing. Since when are

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Speaker 1: we selling whippets at the store? Somebody protect the children.

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Speaker 1: Something about the childlike designs and marketing is so spooky,

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Speaker 1: like stars and bright colors.

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Speaker 4: You're trying to entice the kids on purpose.

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Speaker 1: And at the time, like I've been like in the UK,

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Speaker 1: there's like a lot of soccer players get fucking they

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Speaker 1: get caught up doing laughing gas and shit like that.

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Speaker 1: And I've noticed too in a lot of like rap

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Speaker 1: videos too. You see people like hitting cans of like

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Speaker 1: fucking naws like in different ways.

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Speaker 4: Like it used to be those little whipp.

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Speaker 1: It cartridges for like a home, you know, whipped cream

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Speaker 1: thing that sort of like silver cartridge. Now this shit

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Speaker 1: like Galaxy gas. It is branded. It's so colorful, like

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Speaker 1: the bottles and stuff, and it's stuff like mango smoothie

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Speaker 1: ice cream. Like it's straight up flavors. Yeah wow. Whereas

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Speaker 1: like before, they're like it's nice like whipp It the

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Speaker 1: things that used to be, but in bigger ass cans

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Speaker 1: now and with flavors. But they say like, oh, it's

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Speaker 1: to help in It's like it's for culinary use only.

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Speaker 1: But if you're using it for culinary use, like you

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Speaker 1: don't need a flavored gas because potentially you're like your head.

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Speaker 4: Is so in the game.

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Speaker 1: You're flavoring whatever yourself that you need to inject with

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Speaker 1: like banana chemical flavor.

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Speaker 3: It's to power your Derby car. It's mango smoothie flavor. Yeah,

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Speaker 3: exactly for your kids Derby car their mouth.

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Speaker 1: But anyway, I just like looking at that and now

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Speaker 1: seeing like how there's definitely like a proliferation of articles

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Speaker 1: more and more where people like the new trend. I

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Speaker 1: saw video like they're just like there's people doing shit

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Speaker 1: on TikTok making it look all fun and shit. I'm

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Speaker 1: telling you that just as an old head, I will

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Speaker 1: sat like an old person here, you do not this

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Speaker 1: ship is not good for you.

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Speaker 4: It is not the fucking experience you want, chemically or otherwise.

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Speaker 1: And I just like, again, I just need to tell

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Speaker 1: the youth just leave that nitrous oxide alone, please please?

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Speaker 1: And what the fuck is this company doing with like

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Speaker 1: all this flavored shit. It's like it feels like the

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Speaker 1: early Jewel days, you know what I mean, when it

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Speaker 1: was like, no, this ain't for kids, but it's called

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Speaker 1: like uh like unicorn, huh yeah, you know exactly.

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Speaker 3: Galaxy gas is what a DARE officer would call it.

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Speaker 3: Like I feel like, you know, did you when the

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Speaker 3: DARE officer came in and we're like, yeah, weed, Devil's

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Speaker 3: devil salad and like all the galaxy gas feels. I

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Speaker 3: remember him like calling some drug like black ice, and

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Speaker 3: everybody just like laughing at him because we were twelve.

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Speaker 3: Yeah you know what the fuck?

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Speaker 1: You know, like you go to a like I remember

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Speaker 1: I was in a head shop like to get some papers,

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Speaker 1: and like they just had a bunch on the fucking

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Speaker 1: walls there. I was like wow, And it didn't really

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Speaker 1: connect at the time. I was like with this big

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Speaker 1: old galaxy gus shit. And now I'm like putting it

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Speaker 1: all together and I'm like it's everywhere, and yeah, just

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Speaker 1: please talk to your kids about galaxy gas and Halen's

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Speaker 1: is like one of the like growing segments of like

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Speaker 1: intoxicans for like younger people. So I didn't realize how

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Speaker 1: much the kids were fucking with NOAs like that and

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Speaker 1: not diverse.

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Speaker 3: That's pretty scary. Yeah, I mean I was associated with

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Speaker 3: like the very drugs that people did when you couldn't

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Speaker 3: get like you were too young to get drugs. Like

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Speaker 3: the things that the kids that I grew up with

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Speaker 3: did was whippets and then like passing out, Oh where

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Speaker 3: you just like took a bunch of deep breaths and

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Speaker 3: then like made the person pass out.

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Speaker 4: Ye ye, yep, just some light brain damage.

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Speaker 1: You know, yeah exactly.

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Speaker 3: We just just please damage my brain, hitt these thoughts

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Speaker 3: away from me. That's fucking crazy.

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Speaker 1: Yeah, So.

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Speaker 3: My underrated I got a couple like sweaters on the

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Speaker 3: beach movies love these esthetically it looks good.

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Speaker 1: Like, yeah, it's always Cape Cod. I feel like there's

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Speaker 1: always like the Atlantic seaboard when you.

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Speaker 3: Were and we went to like a tidepool beach like

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Speaker 3: so not not like a beachy day, but just like

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Speaker 3: a low tide end of the day check out, like

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Speaker 3: what was left behind type beach. Leo Correo also shout

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Speaker 3: out like there's all these places around Los Angeles that

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Speaker 3: are named for like actors who I think were like

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Speaker 3: the George Clooney of their day, but then like nobody

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Speaker 3: remembers them at all, but like a.

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Speaker 1: Smart idea Will Rogers.

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Speaker 3: Yeah, Will Rogers, I guess is pretty well known. But

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Speaker 3: like Leo Careo, I didn't I didn't know about him.

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Speaker 1: Yeah, but I didn't know either. That's a guy A

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Speaker 1: place like you could go camp like as a teenager

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Speaker 1: and no one would bother you and you could like smoke.

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Speaker 3: A good strategy, find like an out of the way

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Speaker 3: spot that is very pretty and name name.

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Speaker 4: It after who was this Leo Careo.

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Speaker 1: I didn't do a lot of research, but.

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Speaker 3: I know it's an American actor, vaudevillian, political, cartoonist and conservationist.

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Speaker 1: So said Will Rogers, also a vaudevillian.

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Speaker 3: Guy too, like around that same era.

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Speaker 1: Yeah, Will American vaudeville. What's the vaudeville beaches and ship?

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Speaker 3: Yeah yeah, all right.

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Speaker 1: Anyway, SoundCloud rappers should be the next generation of entertainers.

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Speaker 4: I get their own beaches after this.

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Speaker 3: I always assumed that, like you, why would you ever

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Speaker 3: wear a sweater on the beach, But you know, we

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Speaker 3: we brought our sweaters to this beach. It was like

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Speaker 3: in the sixties and the sun was going down and

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Speaker 3: the Pacific is fucking freezing, so it was chilly. And

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Speaker 3: it's just a just a good look. That's just a brief,

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Speaker 3: a little no no family photosh We we didn't. We

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Speaker 3: weren't like coordinating or anything like that. We just but

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Speaker 3: I got a lot of pictures shark fish and anemones

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Speaker 3: and oh yeah, come on, dude. But the other my

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Speaker 3: other underrated. So I watched this movie Rebel Ridge this weekend,

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Speaker 3: which is has been like near the top of like

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Speaker 3: the Netflix uh charts, and I'm gonna call it like

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Speaker 3: a cabsploitation, Like it's like a guy getting fucked with

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Speaker 3: by cops and repeatedly just like fucking the police up

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Speaker 3: over and over again.

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Speaker 4: It's like an ouva bowl film, like where like one.

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Speaker 3: Kind of but it's like well done. Oh okay, it's

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Speaker 3: it's pretty well done. It's like it starts out and

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Speaker 3: you think it's just gonna be like a remake of

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Speaker 3: First Blood, like where you know the first Rambo, which

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Speaker 3: is like a better movie than people remember because the

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Speaker 3: sequels were so ridiculous. But in that movie, like Rambo's

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Speaker 3: a Vietnam vet and like he gets sucked with by

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Speaker 3: a local sheriff and then like runs off into the

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Speaker 3: woods and is just like killing cops from those woods

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Speaker 3: the whole time. So in this I was wondering, like

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Speaker 3: why they weren't doing that, because after he gets sucked

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Speaker 3: with one time, he just like continues to go back

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Speaker 3: and like find the movie just like finds ways for

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Speaker 3: him to interact with the cops. But it's actually smart

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Speaker 3: because it just repeatedly like recreates these scenarios we've seen

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Speaker 3: with like corrupt cops, like arresting someone, finding different ways

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Speaker 3: to like fuck someone up, or at one point they

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Speaker 3: like pull him over but like don't use their lights

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Speaker 3: and then they explain like it's because if the lights flash,

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Speaker 3: then their dash cam camera starts up and like they're we're.

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Speaker 1: About to be corrupt, all right, And it's like I'm

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Speaker 1: lifting the hood of my car, Like that's the other

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Speaker 1: thing cops do is like they pull the hood up

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Speaker 1: to block the engine.

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Speaker 3: To let the engine cool off a little bit. But

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Speaker 3: it's yeah, so it's just seeing this these scenarios we've

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Speaker 3: seen so many times in actual like police body cam

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Speaker 3: footage like played out in a way where the cops

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Speaker 3: kind of get fucked up is very satisfying, and I

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Speaker 3: feel like it could be its own genre of movie

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Speaker 3: of just like repeatedly showing people fucking up.

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Speaker 1: Hey, yeah, you know, you know it's better than real

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Speaker 1: police reforms movies where they taking it out of the

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Speaker 1: cops and then that will act as a salve for

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Speaker 1: us in our ailing society.

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Speaker 3: Yeah, and then it'll give people ideas of what to

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Speaker 3: do and they'll all get armed. So maybe not a

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Speaker 3: good idea, but it was very satisfied.

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Speaker 1: I'm gonna I mean, like when you said I'm I'm

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Speaker 1: watching this, I mean just seem like a still poot.

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Speaker 1: I'm like, why is this guy intact gear like fighting

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Speaker 1: the cops and I'm like, okay, I'll ask last questions,

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Speaker 1: yeah and start watching more. Yeah.

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Speaker 3: His backstory is like that he trains the military on

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Speaker 3: how to like do hand to hand combat when you're

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Speaker 3: unarmed and they're armed, and like.

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Speaker 1: Have like escalate a situation premise.

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Speaker 3: Yeah, and so he's like anti weapon, Like he's like

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Speaker 3: kind of got Batman rules where he like won't use

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Speaker 3: a weapon on somebody. He's just like disarming them over

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Speaker 3: and over again.

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Speaker 1: Oh I love that shit.

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Speaker 3: Yeah, it's a blast. I highly recommend. But yeah, it's

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Speaker 3: just it was smart of them to be like, Okay,

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Speaker 3: these are thereforce scenarios, keep seeing over and over again. Yeah,

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Speaker 3: what is miles something you think is overrated?

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Speaker 1: Overrated summer now that it's fall. And I have to say,

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Speaker 1: along with that is the food.

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Speaker 4: I have two things.

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Speaker 1: The first is just a parent thing that I think

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Speaker 1: all parents experience, which is like you get all these

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Speaker 1: like toys from relatives and stuff that are nice that

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Speaker 1: you think your kid is gonna play with, and they

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Speaker 1: just want to play with a fucking tube of toothpaste

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Speaker 1: for like days, and you're like, what about this nice

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Speaker 1: thing grandma got you that's made of like wood and

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Speaker 1: is like baby safe, and he's like, nah, dude, I'm

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Speaker 1: gonna keep trying to eat this hand sanitizer hand spray

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Speaker 1: bottle and like just like fuck with this forever very

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Speaker 1: I mean, in a way, bless their bless their imaginations

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Speaker 1: for making toys out of those things. But yeah, just

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Speaker 1: like with the season change on paper, because it's still

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Speaker 1: hot here. I did a thing last night, just like

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Speaker 1: when we were talking with Lydia, just getting into I'm

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Speaker 1: in Peepaw fall right now. Yeah, such a nice pork

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Speaker 1: stew last night that with I'm not in like these

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Speaker 1: mashed potatoes Jack, I put a fucking pound of butter

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Speaker 1: for it was three and a half pounds of potatoes,

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Speaker 1: one pound of butter, and it's just the perfect vessel

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Speaker 1: for the stew to sit upon, and I cut up some.

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Speaker 4: It was just so fucking good.

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Speaker 1: And anyway, I realized too, how much like food helps

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Speaker 1: bring like sort of in a sense, in a sensory way,

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Speaker 1: bring you into the next season because like the mood. Yeah, yeah,

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Speaker 1: because I did. I did on Saturday, I like grilled.

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Speaker 1: I was like, let me just get my last kind

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Speaker 1: of grill at not that I won't I'll stop grilling,

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Speaker 1: but like this felt like they're like, Okay, this is

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Speaker 1: kind of like, you know, we're getting into falling out

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Speaker 1: summer grill exactly fully into the stews. So I just

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Speaker 1: got to say, summer, it's been great. You were very

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Speaker 1: fucking hot this year in Los Angeles, and people who

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Speaker 1: knows what fall will look like. But now I'm realizing

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Speaker 1: I'm ready to wear sleeves. I'm wearing ready to wear

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Speaker 1: a hoodie. I'm ready to wear pants and I want

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Speaker 1: that very soon.

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Speaker 3: And you're you're ready to wear sleeves, but you're just

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Speaker 3: for the listener. You're not wearing sleeves right now. You're

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Speaker 3: still wearing a cut off yeah yeah, yeah.

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Speaker 1: And I have like cropped it's cropped too, like I

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Speaker 1: look like a linebacker from the eighties.

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Speaker 3: To Belichick chic cut off sleeves hoodies.

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Speaker 4: Yeah, wasn't that what he called them?

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Speaker 1: They're called give ups like I give up, yeah, like

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Speaker 1: wearing like rocking the sweatpants and at times, but yeah,

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Speaker 1: I got my give ups on that's great.

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Speaker 4: I'm like, I'll take that.

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Speaker 3: I was listening to a sports podcast that was covering

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Speaker 3: like one of the rings NFL shows. I guess there's

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Speaker 3: other sports podcasts besides my Jack Mad Boosts. Right, So

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Speaker 3: I was just I just found out about this, so

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Speaker 3: I was just checking them out. But they were talking

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Speaker 3: about like coach expressions and like they were talking about

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Speaker 3: how like Mike Tomlin is always saying cut your eyelids off,

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Speaker 3: keep your eyes open, cut your eyelids off, players, and uh,

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Speaker 3: what's his name? From the Chargers. Harbaugh was like, I'm

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Speaker 3: gonna die leaning on my staff like Moses about like

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Speaker 3: his coaching staff.

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Speaker 1: Wow, trust, wow, Wow, this is this is great like

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Speaker 1: high level coach poetry. He's the son of the other Harbor.

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Speaker 1: Is that the deal?

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Speaker 3: No, he's the brother of the other Harbor.

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Speaker 1: Oh wait, so they were Jim John Yeah, okay, got it,

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Speaker 1: got it, got it.

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Speaker 3: Jim was the Michigan, right, Jim is the Michigan and

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Speaker 3: now Chargers and now Chargers.

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Speaker 1: Okay, okay.

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Speaker 3: And people were like, so, how do you feel about

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Speaker 3: your like offensive coordinator's decision? And he was like, ah,

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Speaker 3: you know, call me Moses because I'm gonna die leaning

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Speaker 3: on my staff.

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Speaker 1: Yeah. I call him the staff al of Caucus because

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Speaker 1: they're deadly to others, you know what I mean?

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Speaker 4: You hear me, our tactics, man our place.

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Speaker 3: Yeah hell yeah, but yeah, I don't know if they

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Speaker 3: have writers writing for them or if that's just like

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Speaker 3: a part of you have to have that like weird

352
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Speaker 3: gym teacher poetry in.

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Speaker 1: The brain because it's like a pimp, you know what

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Speaker 1: I mean, Like and like the least problematic sense of

355
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Speaker 1: like you got to convince a group of people to

356
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Speaker 1: like ride for you and put their bodies on the line,

357
00:18:22,359 --> 00:18:24,760
Speaker 1: and you kind of need the gift of gap to

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Speaker 1: sort of be like, you know how like that old

359
00:18:26,720 --> 00:18:28,280
Speaker 1: player ship that like you got to make sure your

360
00:18:28,320 --> 00:18:30,080
Speaker 1: next move is your best move, you know what I mean,

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Speaker 1: Because I'm ready, like you know, like a referee with

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Speaker 1: a whistle like that kind of shit. I feel like, yeah,

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Speaker 1: you need those little isms that like kind of get

364
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Speaker 1: it that connect, because it's not enough to be like

365
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Speaker 1: wake the fuck up. Yeah yeah, and.

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Speaker 3: You're like cut my eyelids off, exact, cut my and

367
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Speaker 3: you always don't close your eyes forever.

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Speaker 4: Yeah, everyone had terrible eye infections.

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Speaker 3: They're like anyway, kind of with my this weekend, it

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Speaker 3: didn't go so well.

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Speaker 1: A lot of pinky now, that's right.

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Speaker 3: My overrated is old bagels I had bagels this weekend

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Speaker 3: a place to like bagels every couple hours. Old bagels

374
00:19:09,000 --> 00:19:12,960
Speaker 3: are overrated, fresh bagels underrated. I guess I'm just an

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Speaker 3: underrated kind of guy because this is clearly an underrated

376
00:19:16,160 --> 00:19:21,919
Speaker 3: disguised as an oprated. But I yeah, my like having

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00:19:22,040 --> 00:19:23,840
Speaker 3: a fresh bait. I was like, I have not been

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00:19:23,880 --> 00:19:28,040
Speaker 3: having bagels until now, like that. Any bagel that's not

379
00:19:28,200 --> 00:19:30,040
Speaker 3: freshly baked is such bad.

380
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Speaker 2: Yeah.

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00:19:31,480 --> 00:19:35,760
Speaker 3: Yeah, it's so subpar. It's such bad pr for the

382
00:19:35,800 --> 00:19:36,679
Speaker 3: bagel brand.

383
00:19:36,840 --> 00:19:37,520
Speaker 1: Yeah, yep.

384
00:19:37,840 --> 00:19:40,000
Speaker 3: You know, I've been reviving them with the toaster here

385
00:19:40,040 --> 00:19:43,520
Speaker 3: and there, but not close to what I experienced this weekend.

386
00:19:43,880 --> 00:19:46,520
Speaker 1: Yeah. Well, because you freeze them, like do you get

387
00:19:46,560 --> 00:19:49,320
Speaker 1: fresh ones and then you freeze them sometimes?

388
00:19:49,400 --> 00:19:52,159
Speaker 3: Yeah, so we've done that before, or we get the

389
00:19:52,800 --> 00:19:55,919
Speaker 3: buy in the grocery store. It's just like a sponge

390
00:19:56,160 --> 00:19:59,680
Speaker 3: and it's like mostly just uh, it's.

391
00:19:59,520 --> 00:20:02,600
Speaker 1: Bagels taped bread. That's not a bagel like that you

392
00:20:02,640 --> 00:20:04,239
Speaker 1: buy at the store like that. It has to come

393
00:20:04,240 --> 00:20:05,320
Speaker 1: from dude.

394
00:20:05,440 --> 00:20:07,400
Speaker 3: Like spongey from the preservatives.

395
00:20:07,720 --> 00:20:11,040
Speaker 4: Have you had a sour dough bagel? Yeah, yeah, yeah,

396
00:20:11,119 --> 00:20:13,040
Speaker 4: yeah from lady. Have you been to that spot?

397
00:20:13,440 --> 00:20:16,880
Speaker 3: No, So I just so I'm a novice to this.

398
00:20:17,119 --> 00:20:20,280
Speaker 3: We were going to a place that last week, like

399
00:20:20,480 --> 00:20:24,160
Speaker 3: a friend's house where my kids are like taking a class,

400
00:20:24,240 --> 00:20:26,879
Speaker 3: and so last week they brought fresh bagels. So I

401
00:20:26,920 --> 00:20:30,280
Speaker 3: was like, I've had these bagels from this place Courage.

402
00:20:31,000 --> 00:20:32,040
Speaker 4: Oh yeah, yeah yeah.

403
00:20:32,080 --> 00:20:35,840
Speaker 3: So I went there and the weight was thirty minutes

404
00:20:35,880 --> 00:20:39,680
Speaker 3: to order, and then as I was waiting, someone who

405
00:20:39,680 --> 00:20:41,960
Speaker 3: had just reached the front was like, oh, also, it's

406
00:20:42,000 --> 00:20:46,120
Speaker 3: fifty minutes after you order for them to give you bagels.

407
00:20:46,280 --> 00:20:50,600
Speaker 3: So I wow. Went to a different place that was

408
00:20:51,560 --> 00:20:55,040
Speaker 3: called c A L I see, I think, and their

409
00:20:55,119 --> 00:20:57,720
Speaker 3: whole thing is just like we baked new bagels every

410
00:20:57,800 --> 00:21:02,760
Speaker 3: two hours and the whole shit, yeah, oh, I think

411
00:21:02,880 --> 00:21:06,960
Speaker 3: just like fresh baked any bread product is such a

412
00:21:07,320 --> 00:21:10,919
Speaker 3: is so different. Like my my favorite pizza place that

413
00:21:10,960 --> 00:21:13,200
Speaker 3: I've talked about on here before is Manco and Manco

414
00:21:13,320 --> 00:21:16,840
Speaker 3: on the Jersey Shore, And but I've like realized that

415
00:21:16,920 --> 00:21:19,880
Speaker 3: it goes bad within ten minutes of like getting out

416
00:21:19,880 --> 00:21:21,520
Speaker 3: of the oven. It doesn't like go bad, but it

417
00:21:21,640 --> 00:21:26,000
Speaker 3: just becomes pretty mediocre after that. And I feel like

418
00:21:26,040 --> 00:21:29,159
Speaker 3: if I granted every other pizza place that same grace,

419
00:21:29,920 --> 00:21:33,040
Speaker 3: I would probably still think Manco Omeco is the best,

420
00:21:33,080 --> 00:21:35,920
Speaker 3: but like it's I don't know, like that that makes

421
00:21:36,040 --> 00:21:38,680
Speaker 3: such a difference. Like yeah, because bread is a pham

422
00:21:39,000 --> 00:21:41,400
Speaker 3: so it's like naturally not going to.

423
00:21:41,400 --> 00:21:43,520
Speaker 4: Be it's the insane environment.

424
00:21:43,760 --> 00:21:47,080
Speaker 3: Yeah, like ten minutes after it comes out and like

425
00:21:47,400 --> 00:21:48,480
Speaker 3: achieves that form.

426
00:21:48,760 --> 00:21:50,360
Speaker 4: So yeah, I like Courage.

427
00:21:50,440 --> 00:21:54,600
Speaker 1: I like Bell's Bagels, I like Mary's Bagels, Layla Bagels.

428
00:21:55,680 --> 00:22:02,200
Speaker 3: Yeasts a bunch of places. Yeasty boy. Yeah that sounds

429
00:22:02,240 --> 00:22:06,520
Speaker 3: very I love a fun name. Also, Quick overrated your

430
00:22:06,560 --> 00:22:11,639
Speaker 3: ability to own a pigmy hippo in my moodang research,

431
00:22:12,680 --> 00:22:17,880
Speaker 3: I was searching pigmy hippo size to like find out

432
00:22:17,880 --> 00:22:21,480
Speaker 3: what their size would be full grown. And when I

433
00:22:21,520 --> 00:22:25,800
Speaker 3: put pigmy hippo s it auto completed to sale, and

434
00:22:25,880 --> 00:22:29,880
Speaker 3: oh god, that that worried me. So I would suggest

435
00:22:29,960 --> 00:22:33,280
Speaker 3: not owning, not trying to go out and buy your.

436
00:22:33,160 --> 00:22:39,120
Speaker 4: Own island right now, smuggle one back.

437
00:22:39,280 --> 00:22:42,040
Speaker 3: Yeah, they get to be up to like six hundred

438
00:22:42,440 --> 00:22:48,480
Speaker 3: to nine hundred pounds, and I'm just gonna say those Yeah,

439
00:22:48,880 --> 00:22:49,600
Speaker 3: I'm pretty sure.

440
00:22:49,720 --> 00:22:50,040
Speaker 2: Okay.

441
00:22:50,040 --> 00:22:53,000
Speaker 3: This is also a thing that I am now completely

442
00:22:54,040 --> 00:22:57,880
Speaker 3: unsure of any any research I do, because I am

443
00:22:57,960 --> 00:23:01,920
Speaker 3: realizing that the Google AI is Assistant is so fucking

444
00:23:02,040 --> 00:23:02,800
Speaker 3: bad at it.

445
00:23:03,359 --> 00:23:03,840
Speaker 4: Yeah.

446
00:23:04,000 --> 00:23:07,280
Speaker 3: Length four to six feet, weight four hundred to six hundred.

447
00:23:07,400 --> 00:23:11,560
Speaker 1: Yeah, this thing fulls oh shit. Yeah, I don't want

448
00:23:11,600 --> 00:23:13,200
Speaker 1: nothing to do with that. Yeah. Yeah.

449
00:23:13,200 --> 00:23:16,919
Speaker 3: One of them, I was like danger, pigmy hippo Danger,

450
00:23:16,960 --> 00:23:19,960
Speaker 3: and like one of them ate a antelope at a

451
00:23:20,040 --> 00:23:23,640
Speaker 3: zoo in Ohio. I think that's like killed an antio.

452
00:23:23,680 --> 00:23:25,280
Speaker 3: I don't know if it ate the whole thing, but.

453
00:23:25,320 --> 00:23:26,960
Speaker 1: Yeah, yeah, yeah, yeah.

454
00:23:27,080 --> 00:23:30,600
Speaker 4: So all right, well I guess I'll put that dream aside.

455
00:23:30,440 --> 00:23:35,040
Speaker 3: So that that's our those are our PSAs, ye, and

456
00:23:35,680 --> 00:23:37,600
Speaker 3: don't don't try and buy a pigmy hippo.

457
00:23:37,880 --> 00:23:39,760
Speaker 4: Hey, always wisdom from this show.

458
00:23:40,080 --> 00:23:42,520
Speaker 3: That's right, let's take a quick break. We'll be right back,

459
00:23:52,480 --> 00:23:53,359
Speaker 3: and we're back.

460
00:23:53,560 --> 00:23:54,400
Speaker 1: We're back, man.

461
00:23:54,400 --> 00:23:54,800
Speaker 2: I don't know.

462
00:23:55,160 --> 00:23:57,639
Speaker 3: My kids have like a little bit of a cough,

463
00:23:57,760 --> 00:23:59,959
Speaker 3: and this weekend I was having like a couple moments

464
00:24:00,040 --> 00:24:03,680
Speaker 3: where I was like, man, I've got RFK boys, like

465
00:24:03,720 --> 00:24:07,600
Speaker 3: my boy like has there's something on my vocal chord

466
00:24:07,880 --> 00:24:10,480
Speaker 3: or something. Yeah, there was like something where I couldn't

467
00:24:10,680 --> 00:24:13,200
Speaker 3: I've hadn't speak right for I.

468
00:24:13,280 --> 00:24:16,119
Speaker 1: Sound like like when I've I was at a wedding,

469
00:24:16,400 --> 00:24:18,640
Speaker 1: like maybe a few months ago, and I completely lost

470
00:24:18,640 --> 00:24:21,600
Speaker 1: my voice and I sounded like funk Houser from Curby Enthusiasm,

471
00:24:21,640 --> 00:24:24,679
Speaker 1: like super Dave Osborne, like it was like Larry like

472
00:24:24,760 --> 00:24:29,480
Speaker 1: it was. My vocal cords were shocked. Didn't quite get

473
00:24:29,520 --> 00:24:32,680
Speaker 1: to rf to shreddo Yeah, yeah, yeah, I couldn't. Could

474
00:24:32,800 --> 00:24:36,800
Speaker 1: not get like a full bodied voice out all right.

475
00:24:36,880 --> 00:24:40,760
Speaker 3: Well, amazingly, speaking of r f K h his being

476
00:24:40,800 --> 00:24:44,960
Speaker 3: investigated for desecrating Yeah, and up p s A. So

477
00:24:45,160 --> 00:24:49,560
Speaker 3: the p s A don't send nudes to r FK Junior. Okay, Okay,

478
00:24:50,280 --> 00:24:53,240
Speaker 3: I know it sounds like a good idea. Yeah, and

479
00:24:53,359 --> 00:24:56,720
Speaker 3: we were all tempted to do so, but I'm going

480
00:24:56,800 --> 00:25:01,280
Speaker 3: to explain why why not to? So he was being

481
00:25:01,480 --> 00:25:05,159
Speaker 3: investigated for desecrating a whale carcass, as we learned at

482
00:25:05,200 --> 00:25:08,160
Speaker 3: the end of last week, for the story where he

483
00:25:08,920 --> 00:25:11,040
Speaker 3: chainsaw the head of a whale off and put it

484
00:25:11,119 --> 00:25:14,639
Speaker 3: on top of his van. That didn't turn out to

485
00:25:14,640 --> 00:25:17,800
Speaker 3: be the biggest RFK Junior scandal of the week because

486
00:25:17,880 --> 00:25:22,360
Speaker 3: New York Magazines Olivia, Newsy, Nuzzy and used ez I

487
00:25:24,200 --> 00:25:28,760
Speaker 3: See was forced to take a leave after New York

488
00:25:29,119 --> 00:25:32,199
Speaker 3: magazine discovered that she allegedly had a personal relationship with

489
00:25:32,359 --> 00:25:33,199
Speaker 3: RFK Junior.

490
00:25:33,320 --> 00:25:36,400
Speaker 1: Okay, a personal relationships like their friends.

491
00:25:36,640 --> 00:25:40,040
Speaker 3: Uh yeah, sorry, all right, I'm not allowed to have friends.

492
00:25:41,320 --> 00:25:45,199
Speaker 3: It was not physical, but it did involve the sending

493
00:25:45,359 --> 00:25:49,280
Speaker 3: of nude photos, which have repeatedly been described as demure.

494
00:25:50,119 --> 00:25:54,080
Speaker 1: Oh, very mindful, very demure. Yes, very very on point

495
00:25:54,119 --> 00:25:56,000
Speaker 1: with the use of the word demurre. It's happened such

496
00:25:56,040 --> 00:25:58,320
Speaker 1: a moment right now. Okay, so very demure, very mindful

497
00:25:58,440 --> 00:26:02,440
Speaker 1: nude photos. Yes, but they weren't having a physical relationship.

498
00:26:02,520 --> 00:26:05,639
Speaker 1: They were not having a physical relationship. She had written

499
00:26:05,640 --> 00:26:09,760
Speaker 1: a profile of him called that was titled the mind

500
00:26:09,800 --> 00:26:15,600
Speaker 1: Bending Politics of RFK Junior Spoiler Campaign, and it wasn't

501
00:26:15,640 --> 00:26:21,200
Speaker 1: like particularly flattering. I would say, like, sure, he seems

502
00:26:21,280 --> 00:26:24,200
Speaker 1: kind of like an asshole, Like he seems like real angry.

503
00:26:24,280 --> 00:26:25,280
Speaker 1: Throughout the profile.

504
00:26:26,160 --> 00:26:28,399
Speaker 3: At one point they like hop in his van and

505
00:26:28,440 --> 00:26:32,159
Speaker 3: She's like, I honestly like couldn't stop from gagging, Like

506
00:26:32,240 --> 00:26:35,840
Speaker 3: this van is just like covered in dog hair and

507
00:26:36,040 --> 00:26:39,080
Speaker 3: smells terrible. I don't know if it's the same van

508
00:26:39,400 --> 00:26:42,600
Speaker 3: that transported the whalehead all those years ago, but it

509
00:26:42,680 --> 00:26:44,480
Speaker 3: sounds like it could be.

510
00:26:45,880 --> 00:26:48,680
Speaker 1: Dude, I'm gagging in your van is just like to

511
00:26:48,880 --> 00:26:53,080
Speaker 1: fucking wild as shit. Yeah, I love that he drives

512
00:26:53,080 --> 00:26:56,399
Speaker 1: a van, though, there's just something RFK Junior with his

513
00:26:56,480 --> 00:27:01,200
Speaker 1: like wacky anti vaxer shit whale chainsng love of you know, life.

514
00:27:01,640 --> 00:27:04,159
Speaker 4: He should be writing around this stinky ass van.

515
00:27:04,280 --> 00:27:06,639
Speaker 3: With no seatbelts because the dogs have chewed all the

516
00:27:06,640 --> 00:27:10,000
Speaker 3: seatbelts off. He just like runs around with a wild

517
00:27:10,080 --> 00:27:15,200
Speaker 3: pack of dogs. But like that comes off with somewhat

518
00:27:15,960 --> 00:27:18,679
Speaker 3: he kind of like So the drawing that goes with

519
00:27:19,040 --> 00:27:23,240
Speaker 3: the article makes him look like he's having some kind

520
00:27:23,240 --> 00:27:26,679
Speaker 3: of emotional breakdown inside a Doctor Seuss book and like

521
00:27:26,760 --> 00:27:29,879
Speaker 3: he's crying and there's like dogs, but it's like a

522
00:27:30,040 --> 00:27:33,359
Speaker 3: you know, a fun illustration. So that's because he does

523
00:27:33,480 --> 00:27:36,640
Speaker 3: just like burst into tears throughout the profile piece. Oh

524
00:27:37,080 --> 00:27:40,479
Speaker 3: and he just seems, yeah, like somewhat unstable. I remember

525
00:27:40,520 --> 00:27:44,159
Speaker 3: reading it and being like, Wow, this guy seems like

526
00:27:44,200 --> 00:27:48,080
Speaker 3: he's got a lot going on and shouldn't be the president.

527
00:27:48,560 --> 00:27:50,840
Speaker 1: Yeah yeah, no, not at all. That's not the kind

528
00:27:50,840 --> 00:27:52,840
Speaker 1: of guy. I don't even want to hang out with him.

529
00:27:53,080 --> 00:27:55,120
Speaker 1: So no, I don't. I means I wouldn't trust him

530
00:27:55,119 --> 00:27:58,479
Speaker 1: with anything outside of leaving me the fuck alone and

531
00:27:58,880 --> 00:28:02,160
Speaker 1: not having to do it intersected my life in any way. Yeah,

532
00:28:02,160 --> 00:28:04,800
Speaker 1: which and then she got fired. Is she fired?

533
00:28:05,040 --> 00:28:09,000
Speaker 3: She's been put on leave because they said it like

534
00:28:09,200 --> 00:28:13,280
Speaker 3: poorly reflects on their you know, impartiality and you know,

535
00:28:13,320 --> 00:28:16,320
Speaker 3: all the stuff that journalism is supposed to care about.

536
00:28:17,080 --> 00:28:20,480
Speaker 3: Although she said it happened after the profile. So the

537
00:28:20,520 --> 00:28:24,160
Speaker 3: way that this apparently came out is that she sent

538
00:28:24,240 --> 00:28:30,000
Speaker 3: him the demure nude photos and he proceeded to brag

539
00:28:30,200 --> 00:28:33,360
Speaker 3: about that to so many people that it got back

540
00:28:33,400 --> 00:28:36,600
Speaker 3: to the editor of New York Magazine, who they do

541
00:28:36,800 --> 00:28:44,200
Speaker 3: not like. Uh so did you This is gonna seem

542
00:28:44,240 --> 00:28:48,040
Speaker 3: weird and based on your reporting, I can't imagine it's true,

543
00:28:48,120 --> 00:28:51,360
Speaker 3: but yeah, you And then she denied it, denied it,

544
00:28:51,440 --> 00:28:53,840
Speaker 3: and then came clean from HR.

545
00:28:53,960 --> 00:28:55,920
Speaker 4: Right, that's why she's here. So that's what I'm just

546
00:28:55,920 --> 00:28:56,720
Speaker 4: gonna ask this to you.

547
00:28:56,800 --> 00:28:58,640
Speaker 1: And this is I'm asking you this in the most

548
00:28:58,680 --> 00:29:03,960
Speaker 1: objective sense, Right, did you send nude pics to RFK Junior?

549
00:29:05,640 --> 00:29:09,040
Speaker 1: I can say that, right, Uh yeah, I mean that

550
00:29:09,120 --> 00:29:12,720
Speaker 1: makes sense. That's so when I read that, like, like

551
00:29:12,800 --> 00:29:15,959
Speaker 1: she only got busted because this dude was bragging about it.

552
00:29:16,000 --> 00:29:18,840
Speaker 1: I like, immediately, I was like, wait, there was something

553
00:29:18,840 --> 00:29:21,640
Speaker 1: about that in the Vanity Fair this guy's eating a

554
00:29:21,680 --> 00:29:25,800
Speaker 1: dead dog profile too, and I went back to find it.

555
00:29:25,880 --> 00:29:27,480
Speaker 1: And then this is another part. This is from that

556
00:29:27,560 --> 00:29:31,040
Speaker 1: Vanity therapiece quote. When Kennedy was married to his second wife,

557
00:29:31,080 --> 00:29:34,640
Speaker 1: Mary Richardson, he was known to text other damning images

558
00:29:34,680 --> 00:29:38,360
Speaker 1: to friends as well of nude women. Those friends assumed

559
00:29:38,400 --> 00:29:40,400
Speaker 1: Kennedy himself had taken the pictures, but they didn't know

560
00:29:40,440 --> 00:29:43,600
Speaker 1: whether the subjects had consented to having their genitalia photographed,

561
00:29:43,640 --> 00:29:46,200
Speaker 1: let alone shared with other people. When one friend lost

562
00:29:46,200 --> 00:29:49,800
Speaker 1: his phone, he panicked that somebody might discover the images.

563
00:29:50,360 --> 00:29:54,560
Speaker 1: So yeah, this is all this is. I know, lies

564
00:29:54,600 --> 00:29:56,800
Speaker 1: detected at this point.

565
00:29:57,360 --> 00:30:00,400
Speaker 3: Yeah, his campaign, for the most part is like he

566
00:30:00,440 --> 00:30:04,560
Speaker 3: only met Olivia Nutzi once in his life for an

567
00:30:04,560 --> 00:30:08,000
Speaker 3: interview which turned out to be a hit piece. And

568
00:30:08,040 --> 00:30:11,960
Speaker 3: if she wants to send him some demure nude photos, right,

569
00:30:12,000 --> 00:30:13,680
Speaker 3: you know what can he do?

570
00:30:14,040 --> 00:30:16,160
Speaker 1: Hit piece and now rag about.

571
00:30:15,880 --> 00:30:16,920
Speaker 3: Them to everybody?

572
00:30:18,760 --> 00:30:19,200
Speaker 2: Yeah?

573
00:30:19,280 --> 00:30:24,080
Speaker 3: So he is married to Cheryl Hines from Curb Your Enthusiasm?

574
00:30:25,920 --> 00:30:30,400
Speaker 3: Any update on that as no updates as of yet, Babe, they.

575
00:30:30,240 --> 00:30:36,080
Speaker 1: Were very demure, very mindful nudes. Okay, that that's account

576
00:30:36,080 --> 00:30:36,560
Speaker 1: for something.

577
00:30:37,320 --> 00:30:39,880
Speaker 3: Yeah, I was annoyed by the whole demure thing just

578
00:30:39,880 --> 00:30:42,800
Speaker 3: because it seemed like people were really forcing it. But

579
00:30:43,080 --> 00:30:45,200
Speaker 3: now it just seems like people are going to use

580
00:30:45,240 --> 00:30:48,600
Speaker 3: it more in their vocabulary and it's a very fine word.

581
00:30:48,920 --> 00:30:52,080
Speaker 1: So yeah, but I think I would say, like at

582
00:30:52,160 --> 00:30:55,440
Speaker 1: least a solid sixty percent of people don't know what

583
00:30:55,480 --> 00:30:58,400
Speaker 1: demuir means, right, Like it's just a way to describe

584
00:30:58,400 --> 00:31:02,800
Speaker 1: a vibe. But I hope people understand the modesty aspect

585
00:31:02,840 --> 00:31:05,600
Speaker 1: of Yeah, that's what I hope comes back to our society.

586
00:31:05,680 --> 00:31:08,280
Speaker 3: Well, speaking of the Trump campaign, because our kid Jringer

587
00:31:08,320 --> 00:31:12,280
Speaker 3: did endorse Donald Trump, we do like to check in

588
00:31:12,880 --> 00:31:16,120
Speaker 3: with the Trump campaign from first of all, from the

589
00:31:16,160 --> 00:31:18,800
Speaker 3: perspective of what's he selling these days?

590
00:31:18,920 --> 00:31:22,280
Speaker 1: Yeah, what's what's he grifting on? Hell? Yeah, what do

591
00:31:22,320 --> 00:31:22,880
Speaker 1: you got for me?

592
00:31:22,960 --> 00:31:23,160
Speaker 2: Man?

593
00:31:23,200 --> 00:31:25,400
Speaker 1: How can how can I? How can you unburden me

594
00:31:25,440 --> 00:31:26,880
Speaker 1: of my dollars? Donald Trump?

595
00:31:27,080 --> 00:31:30,800
Speaker 3: So every week it feels like there's some sub QVC

596
00:31:31,000 --> 00:31:37,200
Speaker 3: merchandise being uh sold and ridiculed online. So he has

597
00:31:37,240 --> 00:31:41,400
Speaker 3: recently announced that he's selling coins, claiming that it's the

598
00:31:41,680 --> 00:31:48,200
Speaker 3: only official coin designed by me. I love I love

599
00:31:48,240 --> 00:31:51,760
Speaker 3: the idea of Donald Trump taking graphic design courses and

600
00:31:51,840 --> 00:31:53,920
Speaker 3: like learning photoshops.

601
00:31:53,440 --> 00:31:56,560
Speaker 4: And a design you will guess what's on it, so.

602
00:31:56,640 --> 00:31:58,960
Speaker 3: You're never gonna I mean, this is pretty wild, Like

603
00:31:59,080 --> 00:32:03,960
Speaker 3: the guy's doing some next level thinking. It's on one side,

604
00:32:03,960 --> 00:32:08,560
Speaker 3: it's the White House with his signature with a big flag,

605
00:32:08,640 --> 00:32:10,640
Speaker 3: big flag over what's.

606
00:32:10,760 --> 00:32:13,960
Speaker 1: It's like that half the width of the White House

607
00:32:14,000 --> 00:32:16,880
Speaker 1: is about how wide this fucking American flag is above it?

608
00:32:17,200 --> 00:32:21,240
Speaker 3: Yes, yeah, it's a it's it would be a illogically

609
00:32:22,080 --> 00:32:25,200
Speaker 3: big flag where it actually sized that way. And then

610
00:32:25,240 --> 00:32:27,560
Speaker 3: like the it's in God we trust is written above

611
00:32:27,600 --> 00:32:30,880
Speaker 3: the top, but it like doesn't it looks cheap and

612
00:32:30,960 --> 00:32:34,440
Speaker 3: weird because it only has like it doesn't have all

613
00:32:34,520 --> 00:32:38,600
Speaker 3: the detailing of even a nickel, you know, right, Like

614
00:32:38,840 --> 00:32:41,520
Speaker 3: there's a lot of empty space in it, which makes

615
00:32:41,560 --> 00:32:45,960
Speaker 3: it weird. And then on the other side, the moneymaker,

616
00:32:46,200 --> 00:32:50,000
Speaker 3: we got Donald J. Trump across the top, and then

617
00:32:50,080 --> 00:32:55,400
Speaker 3: a picture of Donald Trump that looks like Ted Copple.

618
00:32:56,160 --> 00:33:01,560
Speaker 1: Yeah if Ted Copple was like flattened by a steamroller. Yeah, yeah,

619
00:33:01,560 --> 00:33:02,160
Speaker 1: that's what this is.

620
00:33:02,240 --> 00:33:03,680
Speaker 4: This is exactly what this looks.

621
00:33:03,480 --> 00:33:08,240
Speaker 3: Like very unflattering. So that's very mir very unflattering, very demure,

622
00:33:08,480 --> 00:33:09,480
Speaker 3: very very mindful.

623
00:33:09,840 --> 00:33:10,880
Speaker 1: He's selling the coin for.

624
00:33:10,840 --> 00:33:13,840
Speaker 3: One hundred dollars even though it contains around thirty dollars

625
00:33:13,840 --> 00:33:18,600
Speaker 3: worth of silver and perfect. Yeah, this is not you know,

626
00:33:18,680 --> 00:33:21,280
Speaker 3: as as you might have noticed from his sale pitch

627
00:33:21,360 --> 00:33:24,680
Speaker 3: that this is not the only Trump coin. This is

628
00:33:24,800 --> 00:33:30,000
Speaker 3: just the only official coin designed by Miame. There are

629
00:33:30,160 --> 00:33:33,120
Speaker 3: other Trump coins, these ones in gold, because he knows

630
00:33:33,320 --> 00:33:38,280
Speaker 3: that his followers love gold. Love of gold now.

631
00:33:39,600 --> 00:33:41,280
Speaker 4: Asterisk and not made of real gold.

632
00:33:41,520 --> 00:33:45,440
Speaker 3: Yeah, but these ones are like even more unflattering.

633
00:33:46,360 --> 00:33:49,400
Speaker 1: Yeah, like, so he should never be shown in profile,

634
00:33:50,040 --> 00:33:52,240
Speaker 1: even if it is for a coin that's like meant

635
00:33:52,240 --> 00:33:54,080
Speaker 1: to pump your own dick up and pretend you won

636
00:33:54,160 --> 00:33:57,720
Speaker 1: the elunction. There's like a Trump one challenge coin and

637
00:33:57,840 --> 00:34:02,680
Speaker 1: his profile he looks like Boss Nass from Phantom of

638
00:34:02,680 --> 00:34:09,680
Speaker 1: the Menace. He looks like Phantom of the Menace. Yep,

639
00:34:10,000 --> 00:34:12,960
Speaker 1: Phantom of the Phantom of the Opera Menace. H huh.

640
00:34:13,800 --> 00:34:18,359
Speaker 3: Yeah, and the other one is just troubling, all the

641
00:34:18,400 --> 00:34:22,480
Speaker 3: images of him. What the silver one looks nothing like him,

642
00:34:22,600 --> 00:34:26,319
Speaker 3: and then the gold ones are seem like they would

643
00:34:26,360 --> 00:34:30,600
Speaker 3: be like very unflattering likenesses and perhaps the reason that

644
00:34:30,640 --> 00:34:32,759
Speaker 3: he felt the need to put his own coin out.

645
00:34:33,400 --> 00:34:35,520
Speaker 1: And the other one, it looks like he's taking the

646
00:34:35,680 --> 00:34:38,760
Speaker 1: Elvis ship that seals your destiny.

647
00:34:39,520 --> 00:34:42,720
Speaker 4: That's like, what is basically it's like.

648
00:34:42,160 --> 00:34:47,400
Speaker 3: And you have taken the Elvis shit that seals your destiny.

649
00:34:47,800 --> 00:34:48,680
Speaker 1: Oh, thank you.

650
00:34:51,680 --> 00:34:55,799
Speaker 3: So anyways, just we wanted to share this exciting opportunity,

651
00:34:55,840 --> 00:34:57,880
Speaker 3: investment opportunity with our listeners.

652
00:34:58,200 --> 00:35:00,799
Speaker 1: Now, let's soften that with a bit of polling.

653
00:35:01,120 --> 00:35:04,320
Speaker 3: Well, and also explain why this might be the official

654
00:35:04,360 --> 00:35:08,799
Speaker 3: coin of the realm pretty soon. Because he so, he

655
00:35:09,000 --> 00:35:12,520
Speaker 3: is surging in polls. According to the latest New York

656
00:35:12,560 --> 00:35:17,320
Speaker 3: Times polling, he's going up in Arizona, Georgia, and North Carolina.

657
00:35:17,600 --> 00:35:17,839
Speaker 1: Yep.

658
00:35:18,000 --> 00:35:22,840
Speaker 3: And if Democrats lost all those states, it'll be bad,

659
00:35:23,160 --> 00:35:25,200
Speaker 3: Like it would be much more difficult for.

660
00:35:25,160 --> 00:35:33,120
Speaker 1: The Georgia, North Carolina, Arizona. Kamala must win, Pennsylvania must win, Wisconsin,

661
00:35:33,360 --> 00:35:37,799
Speaker 1: must win, Michigan. Yeah. Yeah, it's there's it's it's it's

662
00:35:37,840 --> 00:35:40,880
Speaker 1: a it gets tricky there, It gets tricky there to

663
00:35:40,920 --> 00:35:41,800
Speaker 1: get to two seven.

664
00:35:41,600 --> 00:35:43,560
Speaker 3: And if he's actually doing really well in those states,

665
00:35:43,600 --> 00:35:47,000
Speaker 3: he's probably doing much better than expected in other states.

666
00:35:47,080 --> 00:35:50,880
Speaker 3: Is usually how election results work, you know, the like

667
00:35:50,960 --> 00:35:55,359
Speaker 3: the states aren't completely distinct from one another. So this

668
00:35:55,440 --> 00:36:00,120
Speaker 3: is this is the first really bad polling for Harris

669
00:36:00,920 --> 00:36:05,160
Speaker 3: in a number of weeks. But the New York Times

670
00:36:05,239 --> 00:36:07,960
Speaker 3: polling has been a little bit to the right of

671
00:36:08,320 --> 00:36:12,800
Speaker 3: the overall averages over the past, you know, since before

672
00:36:12,880 --> 00:36:15,480
Speaker 3: the debate, and then this is the first poll that

673
00:36:15,560 --> 00:36:19,720
Speaker 3: like kind of seemed to return to that right word

674
00:36:19,920 --> 00:36:23,040
Speaker 3: lean since the debate. I've also I just want to

675
00:36:23,280 --> 00:36:29,560
Speaker 3: like note how I'm reading polls these days, because there's

676
00:36:29,600 --> 00:36:32,879
Speaker 3: this guy and ed Injermentum. Are you familiar with him. Yeah,

677
00:36:32,920 --> 00:36:35,560
Speaker 3: he's like a poll reader who is one of the

678
00:36:35,600 --> 00:36:39,760
Speaker 3: few people who got the polls right ahead of the midterm.

679
00:36:40,080 --> 00:36:41,680
Speaker 3: He was like one of the few people who was like,

680
00:36:41,760 --> 00:36:44,160
Speaker 3: I don't think it's going to be a red wave.

681
00:36:44,600 --> 00:36:47,960
Speaker 3: And one of the things that he was able to

682
00:36:48,360 --> 00:36:51,680
Speaker 3: pull out was basically that there's all these polls and

683
00:36:51,719 --> 00:36:54,080
Speaker 3: You've mentioned this off handedly before, but I just wanted

684
00:36:54,120 --> 00:36:56,879
Speaker 3: to like kind of focus in on it. There's all

685
00:36:56,920 --> 00:37:02,040
Speaker 3: these poles that are basically designed to generate the appearance

686
00:37:02,080 --> 00:37:06,760
Speaker 3: of support for Republican policies and Republican politicians. Yeah, because

687
00:37:06,800 --> 00:37:11,120
Speaker 3: they know it's like absolutely guaranteed that Fox News will

688
00:37:11,160 --> 00:37:14,319
Speaker 3: pick those up, like or you know one American News

689
00:37:14,360 --> 00:37:15,320
Speaker 3: confirmation bias.

690
00:37:15,400 --> 00:37:16,719
Speaker 1: Baby, who's God for me?

691
00:37:17,280 --> 00:37:17,800
Speaker 2: Yeah.

692
00:37:18,000 --> 00:37:21,520
Speaker 3: So basically, even though these are polls that are like, well,

693
00:37:21,840 --> 00:37:24,240
Speaker 3: we'll give them a C or like a C plus

694
00:37:24,360 --> 00:37:26,520
Speaker 3: or a B minus in like like five point thirty

695
00:37:26,560 --> 00:37:30,440
Speaker 3: eight takes all poles into account and just grades them differently.

696
00:37:31,440 --> 00:37:35,600
Speaker 3: And this guy basically predicted the midterm results by being like,

697
00:37:35,680 --> 00:37:39,239
Speaker 3: you actually shouldn't take those into account at all, you

698
00:37:39,280 --> 00:37:42,960
Speaker 3: should just leave them out. So his read has been

699
00:37:43,000 --> 00:37:46,279
Speaker 3: that she's like in a good position heading into the

700
00:37:46,280 --> 00:37:51,840
Speaker 3: final forty two days. Jesus, that's giving me fucking anxiety

701
00:37:51,960 --> 00:37:53,279
Speaker 3: the area. Yeah.

702
00:37:53,360 --> 00:37:57,759
Speaker 1: Yeah, I've been telling this motherfucker to take its fucking time,

703
00:37:57,800 --> 00:38:00,800
Speaker 1: and now we're forty two out, all right, Jackie Robinson,

704
00:38:01,040 --> 00:38:01,480
Speaker 1: that's right.

705
00:38:01,640 --> 00:38:04,160
Speaker 3: But yeah, there's just all these garbage pull Like so

706
00:38:04,320 --> 00:38:06,680
Speaker 3: even since the mid term, there's like a bunch of

707
00:38:07,000 --> 00:38:12,800
Speaker 3: Twitter personalities and what he calls politics obsessed teenagers getting

708
00:38:12,840 --> 00:38:15,919
Speaker 3: into polling as a hobby, and like all of their

709
00:38:15,960 --> 00:38:19,479
Speaker 3: polls get averaged. You know, they have a small weight

710
00:38:19,520 --> 00:38:21,960
Speaker 3: on it, but they have enough of a weight that

711
00:38:22,000 --> 00:38:25,800
Speaker 3: they affect what like five thirty eight averages and models

712
00:38:25,800 --> 00:38:28,560
Speaker 3: look like, right, and so he was able to get

713
00:38:28,600 --> 00:38:31,840
Speaker 3: a more accurate read by just ignoring all of those.

714
00:38:32,440 --> 00:38:36,279
Speaker 1: Yeah, well, I mean because what Nate Silver, he left

715
00:38:36,320 --> 00:38:38,520
Speaker 1: five thirty eight, right, He's like doing it own. He's

716
00:38:38,520 --> 00:38:40,880
Speaker 1: like doing a weird thing that people are like, what's

717
00:38:40,960 --> 00:38:43,120
Speaker 1: up with his polling? But yeah, I mean, I know,

718
00:38:43,200 --> 00:38:46,520
Speaker 1: like in Newsweek they were saying, you know, like they're like,

719
00:38:46,600 --> 00:38:49,760
Speaker 1: Nate Silver's model has Kamala Harris winning for swing states.

720
00:38:49,800 --> 00:38:51,680
Speaker 1: But it's not the swing states we were just talking about.

721
00:38:51,719 --> 00:38:55,360
Speaker 1: It was the ones that like Michigan, Pennsylvania, Wisconsin, Nevada

722
00:38:56,160 --> 00:38:58,239
Speaker 1: that are must wins in the event that you know,

723
00:38:58,440 --> 00:39:01,520
Speaker 1: North Carolina and Georgia aren't aren't going to turn out

724
00:39:01,560 --> 00:39:04,000
Speaker 1: the way it will. But yeah, I mean, I think there's,

725
00:39:04,080 --> 00:39:06,399
Speaker 1: like like you were saying, there is there's a lot

726
00:39:06,440 --> 00:39:08,879
Speaker 1: of confirmation bias that play with polling and like.

727
00:39:08,880 --> 00:39:10,239
Speaker 4: How people hire polsters.

728
00:39:10,280 --> 00:39:11,880
Speaker 1: Like so if you're working on you know, like a

729
00:39:11,920 --> 00:39:15,080
Speaker 1: ballot proposition and you have like a consortium of wealthy

730
00:39:15,120 --> 00:39:18,400
Speaker 1: donors who are the ones bankrolling the entire thing. You

731
00:39:18,520 --> 00:39:21,160
Speaker 1: need to check in with them to show them how

732
00:39:21,200 --> 00:39:24,560
Speaker 1: their money is being well spent. By that, I mean,

733
00:39:24,640 --> 00:39:27,200
Speaker 1: you show them polls that look good and be like,

734
00:39:27,360 --> 00:39:29,000
Speaker 1: oh my god, thanks so much. I know, we asked

735
00:39:29,000 --> 00:39:30,799
Speaker 1: for that extra hunter k blah blah blah. That's how

736
00:39:30,800 --> 00:39:32,799
Speaker 1: that translated. This Like here's some latest polling. Da da

737
00:39:32,880 --> 00:39:35,239
Speaker 1: da da da, and they go, oh, okay, here, here's

738
00:39:35,239 --> 00:39:35,760
Speaker 1: more money.

739
00:39:35,800 --> 00:39:36,600
Speaker 4: Here's more money.

740
00:39:37,520 --> 00:39:40,839
Speaker 1: So guess what you will hire polsters that can help

741
00:39:40,920 --> 00:39:43,399
Speaker 1: shape the reality a bit, you know, to keep your

742
00:39:43,440 --> 00:39:46,520
Speaker 1: dollars flowing or you you know, getting to you know,

743
00:39:46,680 --> 00:39:50,560
Speaker 1: you know, covered on Fox or One American News or whatever.

744
00:39:51,000 --> 00:39:53,239
Speaker 1: So it's always like there's a there's definitely a bit

745
00:39:53,280 --> 00:39:57,719
Speaker 1: of it. It's not the most objective thing because sometimes

746
00:39:57,840 --> 00:40:01,600
Speaker 1: polls aren't necessarily for us or to indicate to us

747
00:40:01,640 --> 00:40:02,200
Speaker 1: what's happening.

748
00:40:02,239 --> 00:40:03,799
Speaker 4: Sometimes, like you need polls that.

749
00:40:03,760 --> 00:40:06,439
Speaker 1: Are just meant to message things for other purposes too.

750
00:40:06,440 --> 00:40:08,279
Speaker 1: But yeah, yeah, and it's going to be close.

751
00:40:08,400 --> 00:40:10,480
Speaker 3: Fact, they have an effect in the sense that they

752
00:40:10,560 --> 00:40:14,120
Speaker 3: like give people confidence that oh the foxest narrative that

753
00:40:14,120 --> 00:40:17,040
Speaker 3: they're talking about is the act actually reflective of how

754
00:40:17,160 --> 00:40:18,839
Speaker 3: people out there feel. You know.

755
00:40:19,200 --> 00:40:23,680
Speaker 1: Yeah, and you also you do for considering how deflated

756
00:40:23,800 --> 00:40:27,120
Speaker 1: conservatives have been since the beginning of Brat summer and

757
00:40:27,160 --> 00:40:30,560
Speaker 1: all the weird oh shit they need they need to

758
00:40:30,600 --> 00:40:33,600
Speaker 1: see something that tells them they're still in the game and.

759
00:40:33,600 --> 00:40:35,160
Speaker 3: Nothing weird about those numbers.

760
00:40:35,360 --> 00:40:38,440
Speaker 1: Yeah, and by all measures, like I just in the

761
00:40:38,480 --> 00:40:41,719
Speaker 1: same way, like Democratic voters are being told like a

762
00:40:41,760 --> 00:40:43,359
Speaker 1: lot is on the line, a lot is at stake,

763
00:40:43,440 --> 00:40:45,759
Speaker 1: the same is being told to conservatives in a much

764
00:40:45,880 --> 00:40:49,520
Speaker 1: freakier fucking way. But they're they're also trying to tap

765
00:40:49,560 --> 00:40:54,520
Speaker 1: into their like this, it's all on the line this November.

766
00:40:54,880 --> 00:40:58,440
Speaker 1: Get your ass out there, so you know, we'll see

767
00:40:58,560 --> 00:41:02,399
Speaker 1: forty two days though, and and Georgia is gonna make

768
00:41:02,440 --> 00:41:07,959
Speaker 1: it fucking very difficult. So speaking of Georgia, we've talked

769
00:41:07,960 --> 00:41:11,000
Speaker 1: about the Georgia Elections Board and the MAGA members of

770
00:41:11,000 --> 00:41:13,359
Speaker 1: that election board that like Donald Trump, like called out

771
00:41:13,360 --> 00:41:15,680
Speaker 1: by name at a rally, like we love them, notary folks.

772
00:41:15,680 --> 00:41:18,520
Speaker 1: They're gonna completely fuck the rat for us when it

773
00:41:18,560 --> 00:41:22,239
Speaker 1: comes to these election results. And they've altered the rules

774
00:41:22,280 --> 00:41:25,040
Speaker 1: to the point that like essentially this election board can

775
00:41:25,040 --> 00:41:28,440
Speaker 1: decide whether or not to certify election results uh oh.

776
00:41:28,600 --> 00:41:31,800
Speaker 1: And now it got worse somehow because over the weekend

777
00:41:31,840 --> 00:41:35,200
Speaker 1: it was reported they've changed the rules now, so millions

778
00:41:35,200 --> 00:41:39,799
Speaker 1: of ballots will have to be fucking hand counted. Jesus

779
00:41:39,880 --> 00:41:44,319
Speaker 1: hand counting. The handcover quote requires the poll manager and

780
00:41:44,360 --> 00:41:48,360
Speaker 1: two sworn poll officers to unseal ballot boxes, remove and

781
00:41:48,480 --> 00:41:53,120
Speaker 1: record the ballots, and have three poll officers independently count them.

782
00:41:53,440 --> 00:41:55,120
Speaker 1: And it's not like that they're saying, like you need

783
00:41:55,160 --> 00:41:58,960
Speaker 1: to record the results, just purely the number of ballots cast.

784
00:41:59,000 --> 00:42:01,000
Speaker 4: It is what they're trying to go after, and.

785
00:42:00,960 --> 00:42:04,120
Speaker 1: The process is so fucking convoluted it's like pointless to describe.

786
00:42:04,120 --> 00:42:07,080
Speaker 1: But essentially three people at each polling place are going

787
00:42:07,160 --> 00:42:11,360
Speaker 1: to handcount ballots independently to make sure like all three

788
00:42:11,760 --> 00:42:14,040
Speaker 1: arrive at the same number. They're like, what'd you get?

789
00:42:14,160 --> 00:42:17,120
Speaker 1: What'd you get? Like, ah, off by two uh oh,

790
00:42:17,960 --> 00:42:23,040
Speaker 1: over four million? Yeah, or another like if it's taking

791
00:42:23,120 --> 00:42:26,279
Speaker 1: too long, which is the point, the Elections Board will

792
00:42:26,320 --> 00:42:29,520
Speaker 1: take over and determine if and when to certify the

793
00:42:29,560 --> 00:42:31,560
Speaker 1: results of a given precinct or.

794
00:42:31,760 --> 00:42:35,000
Speaker 3: The Elections Board, which is very pro Trump, Yes.

795
00:42:34,920 --> 00:42:36,120
Speaker 4: They have a Trump majority.

796
00:42:36,160 --> 00:42:39,360
Speaker 1: Who is they are doing things that are extra legal

797
00:42:39,760 --> 00:42:43,200
Speaker 1: they are doing. They are not a legislative body. They

798
00:42:43,200 --> 00:42:46,680
Speaker 1: are an administrative body, so they're but they're saying like, oh, well,

799
00:42:46,719 --> 00:42:48,520
Speaker 1: now we're going to decide, you know, like we are

800
00:42:48,560 --> 00:42:50,720
Speaker 1: the b all end all and everyone's like, you can't

801
00:42:50,760 --> 00:42:53,880
Speaker 1: do that, and that's I'm like, our system's so fucking flimsy.

802
00:42:53,880 --> 00:42:55,239
Speaker 4: If three assholes can just be.

803
00:42:55,280 --> 00:42:58,800
Speaker 1: Like, no, we're changing it and now I'm in charge

804
00:42:58,880 --> 00:43:01,600
Speaker 1: and fuck you and there's no remedy to that, then

805
00:43:01,760 --> 00:43:04,719
Speaker 1: this Holy shit. I thought, you know, I thought this

806
00:43:04,840 --> 00:43:08,120
Speaker 1: was gonna get sorted, but no, here we are. And

807
00:43:08,400 --> 00:43:11,520
Speaker 1: you know, I think we've said this before because there's.

808
00:43:11,600 --> 00:43:13,640
Speaker 4: Republicans like we need a hand count or whatever.

809
00:43:13,719 --> 00:43:16,480
Speaker 1: That is one of the most I mean, like, I guess,

810
00:43:16,520 --> 00:43:19,640
Speaker 1: the most inaccurate way to count something unless you were

811
00:43:19,680 --> 00:43:23,680
Speaker 1: like blindfolded and on like acid or something and you

812
00:43:23,680 --> 00:43:26,080
Speaker 1: were told these were snakes you were handling, maybe you

813
00:43:26,200 --> 00:43:29,520
Speaker 1: get a more like a less accurate count. But machines,

814
00:43:29,840 --> 00:43:32,960
Speaker 1: So why machines fucking work here? And there were no

815
00:43:33,120 --> 00:43:36,239
Speaker 1: issues with these existing systems previously. But again, this is

816
00:43:36,280 --> 00:43:38,560
Speaker 1: all happening because this is the playbook for this election,

817
00:43:39,239 --> 00:43:43,280
Speaker 1: and there is a murky figure behind this elections board

818
00:43:43,480 --> 00:43:46,240
Speaker 1: like sort of the like a group of very willing

819
00:43:46,400 --> 00:43:48,520
Speaker 1: elections officials across the state of Georgia.

820
00:43:49,320 --> 00:43:51,600
Speaker 4: She was like, she's like very close to Trump.

821
00:43:51,640 --> 00:43:54,040
Speaker 1: She was actually on the line on that same phone

822
00:43:54,080 --> 00:43:57,000
Speaker 1: call when Trump was asking Brad Rathensberger to find some

823
00:43:57,040 --> 00:44:00,719
Speaker 1: more votes. Yeah, so there's like as an you cheat

824
00:44:00,760 --> 00:44:03,040
Speaker 1: on this and make me president. Yes, she was like

825
00:44:03,160 --> 00:44:06,640
Speaker 1: on the phone for that call, like on the Trump side.

826
00:44:06,920 --> 00:44:09,440
Speaker 1: And now she has an entire infrastructure in place of

827
00:44:09,480 --> 00:44:12,520
Speaker 1: elections official that will basically do whatever they can to

828
00:44:12,560 --> 00:44:15,560
Speaker 1: cause as much chaos as possible and delay the results.

829
00:44:16,400 --> 00:44:19,920
Speaker 1: The Attorney General of Georgia is like, this seems like

830
00:44:20,160 --> 00:44:23,560
Speaker 1: a little bit too far. But whether or not that

831
00:44:23,800 --> 00:44:25,840
Speaker 1: is going to translate to any kind of legal remedy,

832
00:44:26,040 --> 00:44:29,280
Speaker 1: I'm not sure. Forty two days away jesus.

833
00:44:30,280 --> 00:44:33,000
Speaker 3: Yeah, in other countries, like they know the results the

834
00:44:33,120 --> 00:44:37,120
Speaker 3: night that the election happens, in real time based they're

835
00:44:37,160 --> 00:44:39,759
Speaker 3: just like, uh and yeah, we have a winner like

836
00:44:39,880 --> 00:44:42,560
Speaker 3: right away. But in the US, yeah, this is gonna

837
00:44:42,640 --> 00:44:46,839
Speaker 3: George is gonna take days like maybe like weeks by

838
00:44:46,920 --> 00:44:50,759
Speaker 3: design because they want to give the Rats as much

839
00:44:50,840 --> 00:44:52,000
Speaker 3: of a chance to fuck.

840
00:44:52,440 --> 00:44:55,080
Speaker 4: I think they have a six day period to count

841
00:44:55,160 --> 00:44:55,799
Speaker 4: Jesus Christ.

842
00:44:55,880 --> 00:45:00,279
Speaker 1: And the fact that it's not happening sooner again is

843
00:45:00,320 --> 00:45:04,680
Speaker 1: because if you slow down the map from turning blue

844
00:45:04,760 --> 00:45:07,600
Speaker 1: or red in certain places for an audience that has

845
00:45:07,680 --> 00:45:12,480
Speaker 1: been fed a steady diet of election result denihilism, it's

846
00:45:12,520 --> 00:45:15,160
Speaker 1: just gonna it will help put roots down in their

847
00:45:15,239 --> 00:45:19,000
Speaker 1: minds that wait a second, is it happening again? Ye,

848
00:45:19,719 --> 00:45:22,160
Speaker 1: if it isn't an out, if it isn't a total blowout,

849
00:45:22,280 --> 00:45:25,719
Speaker 1: or if you know, Trump just drastically overperforms too, and

850
00:45:25,760 --> 00:45:29,520
Speaker 1: it's we got twenty sixteen Michael Jordan cry face on

851
00:45:29,600 --> 00:45:29,879
Speaker 1: the way.

852
00:45:30,760 --> 00:45:32,680
Speaker 3: I do feel like he's going to do better than

853
00:45:32,760 --> 00:45:35,600
Speaker 3: like the MSM narrative of the past twenty days.

854
00:45:35,440 --> 00:45:38,920
Speaker 1: It's too it's too cocky, Like yeah, it's weird, Like

855
00:45:39,160 --> 00:45:42,400
Speaker 1: I know that they're they're terrible at covering Donald Trump,

856
00:45:42,680 --> 00:45:46,399
Speaker 1: but they also are so dismissive to be like, and

857
00:45:46,440 --> 00:45:50,680
Speaker 1: we've won. Look at them. They're a mess. But yeah, also, like,

858
00:45:50,840 --> 00:45:52,879
Speaker 1: don't count out the fact that there are a lot

859
00:45:52,920 --> 00:45:56,480
Speaker 1: of wealthy people that are putting tons of money and

860
00:45:56,560 --> 00:45:59,920
Speaker 1: also to try and help Trump win, and add to

861
00:46:00,120 --> 00:46:03,960
Speaker 1: that all these fucking creeps out here who are just like, yeah, man,

862
00:46:04,040 --> 00:46:06,400
Speaker 1: I'll fucking I'll put my finger on the fucking scale.

863
00:46:06,440 --> 00:46:08,719
Speaker 4: I don't care even if I am indicted.

864
00:46:09,400 --> 00:46:12,400
Speaker 3: Yeah, yeah, I feel I feel like I don't know.

865
00:46:12,760 --> 00:46:15,799
Speaker 3: But either way, like it's important to stay focused on

866
00:46:15,840 --> 00:46:20,440
Speaker 3: the information that actually matters and not a smoke screen

867
00:46:20,480 --> 00:46:23,279
Speaker 3: of like people who are just horny for Hannity to

868
00:46:23,680 --> 00:46:26,560
Speaker 3: say their name or the name of their pulling outlet.

869
00:46:26,680 --> 00:46:30,640
Speaker 3: But yeah, like the stuff with the Georgia election board

870
00:46:30,680 --> 00:46:33,360
Speaker 3: feels like it's gonna matter. And then like the actual

871
00:46:33,560 --> 00:46:38,120
Speaker 3: pulling that seems to be suggesting he's doing better than expected. Uh,

872
00:46:38,600 --> 00:46:40,120
Speaker 3: probably need to pay attention to that too.

873
00:46:40,440 --> 00:46:40,800
Speaker 2: Yeah.

874
00:46:40,880 --> 00:46:44,480
Speaker 1: Well, it's just tough too, because like he and I

875
00:46:44,800 --> 00:46:47,200
Speaker 1: think you are alluding to this in something you're reading

876
00:46:47,239 --> 00:46:50,680
Speaker 1: that I wrote, is that like his playbook isn't to

877
00:46:50,840 --> 00:46:54,360
Speaker 1: appeal to anyone aside from like the like the biggest

878
00:46:54,400 --> 00:46:59,120
Speaker 1: low lifes. Yeah, Whereas like Democrats are like they're not

879
00:46:59,160 --> 00:47:03,280
Speaker 1: doing the thing that energizes progress, like their entire base

880
00:47:03,360 --> 00:47:06,319
Speaker 1: of voters. They're like, if we just fucking curl up

881
00:47:06,360 --> 00:47:09,960
Speaker 1: into a ball, maybe no one will notice anything that

882
00:47:10,000 --> 00:47:14,120
Speaker 1: we're not changing this situation in the country, And we

883
00:47:14,160 --> 00:47:17,600
Speaker 1: can just get through this, rather than like Joe Biden

884
00:47:17,680 --> 00:47:20,440
Speaker 1: even was you remember when they're like, yo, this motherfucker

885
00:47:20,560 --> 00:47:24,440
Speaker 1: fdr to electric bogloo when he was running in twenty

886
00:47:24,480 --> 00:47:26,720
Speaker 1: twenty with like some of the policies, Like these policies

887
00:47:26,760 --> 00:47:30,040
Speaker 1: aren't e fucking close. They're like, yeah, man, yeah, more

888
00:47:30,080 --> 00:47:33,600
Speaker 1: money for the cops, baby, uh, less money for people?

889
00:47:33,840 --> 00:47:37,560
Speaker 4: All right, any questions? Yeah, all right, great, Yeah, the

890
00:47:37,719 --> 00:47:38,480
Speaker 4: see November.

891
00:47:39,280 --> 00:47:41,839
Speaker 3: The stuff that the mainstream media like points to as

892
00:47:41,880 --> 00:47:46,120
Speaker 3: like disqualifying, like his racism, willingness to say anything, just

893
00:47:46,160 --> 00:47:48,520
Speaker 3: seems to strengthen his appeal with a lot of the

894
00:47:48,560 --> 00:47:52,760
Speaker 3: people who are already interested in voting for him. And

895
00:47:52,840 --> 00:47:57,239
Speaker 3: then and then the mainstream media pointing it out like

896
00:47:57,280 --> 00:47:59,560
Speaker 3: I don't know what you're supposed to do in this case,

897
00:47:59,600 --> 00:48:03,279
Speaker 3: but that also seems to make people happy because it's

898
00:48:03,280 --> 00:48:07,000
Speaker 3: like triggering the the Libs. But yeah, on the Democratic side,

899
00:48:07,040 --> 00:48:10,160
Speaker 3: it just feels like we're watching them try to like

900
00:48:10,320 --> 00:48:15,040
Speaker 3: balance between different positions that won't offend this party, and

901
00:48:15,239 --> 00:48:19,760
Speaker 3: you know, like right, because they are for a status

902
00:48:19,840 --> 00:48:24,279
Speaker 3: quo that the people voting for them aren't actually happy with,

903
00:48:24,760 --> 00:48:27,719
Speaker 3: and so it just it's a disadvantage.

904
00:48:27,080 --> 00:48:29,880
Speaker 1: On a macro level, Like this is where I'm like,

905
00:48:29,920 --> 00:48:33,520
Speaker 1: these people are so stupid. Ask any normal person who

906
00:48:33,520 --> 00:48:37,680
Speaker 1: has a regular existence like a job and a family

907
00:48:37,920 --> 00:48:41,600
Speaker 1: or a debt or whatever, I would tell I'd wager

908
00:48:41,680 --> 00:48:44,080
Speaker 1: eighty percent of people are like, man, this shit can't

909
00:48:44,080 --> 00:48:47,360
Speaker 1: continue the way it's going. Yeah, like the way my life,

910
00:48:47,360 --> 00:48:51,160
Speaker 1: how chaotic my life feels, how you know, stretched thin

911
00:48:51,320 --> 00:48:54,480
Speaker 1: I feel without any help, without any kind of relief.

912
00:48:54,920 --> 00:48:56,520
Speaker 4: This isn't sustainable.

913
00:48:56,800 --> 00:48:59,880
Speaker 1: And the fact that that is so that's permeating throughout

914
00:49:00,040 --> 00:49:04,280
Speaker 1: the zeitgeist and through people's like minds and not being

915
00:49:04,360 --> 00:49:07,400
Speaker 1: addressed in sort of like you can activate something that

916
00:49:07,600 --> 00:49:10,399
Speaker 1: a huge, a large amount of people are feeling right

917
00:49:10,400 --> 00:49:13,200
Speaker 1: now that quite can't articulate it. But the fact that,

918
00:49:13,239 --> 00:49:14,600
Speaker 1: like to your point, it's like, well, we're kind of

919
00:49:14,600 --> 00:49:16,279
Speaker 1: here to defend that shitty status quo.

920
00:49:16,360 --> 00:49:20,360
Speaker 4: It's like, dude, you're ugh, this isn't it's not energizing.

921
00:49:20,520 --> 00:49:23,160
Speaker 1: This fucking freaks out here being like they're eating pats

922
00:49:23,239 --> 00:49:27,320
Speaker 1: and they're fucking jacking off to this nonsense. It's fucking wild.

923
00:49:27,400 --> 00:49:30,520
Speaker 4: And like here it's like, hey man, we have like.

924
00:49:30,040 --> 00:49:33,200
Speaker 1: Like the most regressive immigration plan we've had as a

925
00:49:33,200 --> 00:49:38,400
Speaker 1: party in a long time. Uh sure, yeah, excited. Yeah.

926
00:49:38,480 --> 00:49:41,879
Speaker 3: Trump is also, by the way, for a status quo

927
00:49:42,440 --> 00:49:45,600
Speaker 3: in all the important ways that would impact people's day

928
00:49:45,640 --> 00:49:47,759
Speaker 3: to day lives. Like he's going to do things that

929
00:49:47,800 --> 00:49:51,759
Speaker 3: benefit the extremely wealthy, but just.

930
00:49:51,680 --> 00:49:52,600
Speaker 4: For that group of people.

931
00:49:52,760 --> 00:49:55,160
Speaker 3: Yeah, yeah, for that group of people that don't care.

932
00:49:55,600 --> 00:49:58,840
Speaker 3: They just he can say whatever wild ass thing pops

933
00:49:58,840 --> 00:50:01,600
Speaker 3: into his head and they're going to enjoy it as

934
00:50:01,640 --> 00:50:06,040
Speaker 3: long as it makes people say that's that's a terrible

935
00:50:06,120 --> 00:50:06,960
Speaker 3: thing to say.

936
00:50:06,800 --> 00:50:09,839
Speaker 1: Exactly, because again, those people are also dealing with their

937
00:50:10,160 --> 00:50:13,640
Speaker 1: stressed out, unhappy lives too. But it's the remedy to

938
00:50:13,680 --> 00:50:17,399
Speaker 1: that is manifesting in a very different way, which is like, yeah, man,

939
00:50:17,480 --> 00:50:21,960
Speaker 1: fucking everyone's gonna cry. And that's that sort of level

940
00:50:21,960 --> 00:50:26,279
Speaker 1: of destruction, Like I mean, will be who will come

941
00:50:26,320 --> 00:50:30,399
Speaker 1: to pass if things don't anyway. Yeah, we'll see, we'll see.

942
00:50:30,400 --> 00:50:33,560
Speaker 1: We'll see, man, we'll see, we'll see, we will see.

943
00:50:33,840 --> 00:50:36,200
Speaker 3: Let's let's take one more break and we'll come back

944
00:50:36,200 --> 00:50:37,440
Speaker 3: and talk some pop culture stuff.

945
00:50:37,480 --> 00:50:48,720
Speaker 2: We'll be right back, and we're back.

946
00:50:48,960 --> 00:50:50,280
Speaker 1: We're back, and.

947
00:50:50,400 --> 00:50:53,360
Speaker 3: Uh at the box office, let's check in with the

948
00:50:53,440 --> 00:51:00,160
Speaker 3: bo Beetle Juice. Beetle Juice continues to be baffo was

949
00:51:00,239 --> 00:51:05,200
Speaker 3: number one. Still I'm going tonight. It's legging out. It's

950
00:51:05,320 --> 00:51:08,800
Speaker 3: it's got legs the trades.

951
00:51:09,920 --> 00:51:11,520
Speaker 4: Is are they saying it's legging out?

952
00:51:11,560 --> 00:51:14,040
Speaker 1: Oh it's a leggy box office boffo.

953
00:51:14,680 --> 00:51:17,240
Speaker 3: Okay, So it was number one of the box office

954
00:51:17,239 --> 00:51:20,200
Speaker 3: for a third weekend in a row, chopping topping the

955
00:51:20,239 --> 00:51:27,040
Speaker 3: new Transformers movie Transformers one, which our writer JM was like, wait,

956
00:51:27,080 --> 00:51:31,960
Speaker 3: what there's a new Transformers movie. Yeah, my kids were

957
00:51:32,160 --> 00:51:35,560
Speaker 3: acutely aware they were locked in on this ship.

958
00:51:35,800 --> 00:51:38,040
Speaker 1: Yeah it's live action.

959
00:51:38,840 --> 00:51:40,080
Speaker 3: No, it's animated.

960
00:51:40,640 --> 00:51:43,760
Speaker 1: And oh it's not computer animated. That's why your kids

961
00:51:43,800 --> 00:51:46,959
Speaker 1: know about it, and the fucking drug using adults don't

962
00:51:46,960 --> 00:51:47,480
Speaker 1: know about it.

963
00:51:47,560 --> 00:51:50,520
Speaker 3: That's right, Yeah, which isn't fair because I'm sure it

964
00:51:50,560 --> 00:51:53,719
Speaker 3: would be fun to watch on drugs. The animation is

965
00:51:53,880 --> 00:51:55,440
Speaker 3: pretty cool in moments.

966
00:51:55,640 --> 00:51:57,240
Speaker 1: Oh really, Yeah, it's.

967
00:51:57,200 --> 00:52:01,000
Speaker 5: Like Spider Man level interesting, like King with the Okay, no,

968
00:52:01,239 --> 00:52:04,480
Speaker 5: just like not like it kind of has a unique

969
00:52:04,480 --> 00:52:07,840
Speaker 5: style and it sticks with it and there's just like

970
00:52:07,880 --> 00:52:11,160
Speaker 5: some cool action sequences where they take advantage of the

971
00:52:11,160 --> 00:52:12,759
Speaker 5: fact that they don't.

972
00:52:12,520 --> 00:52:15,520
Speaker 3: Have to like make this look like it's happening in reality.

973
00:52:16,280 --> 00:52:20,160
Speaker 3: It's made by the director of Toy Story four, which

974
00:52:20,680 --> 00:52:26,880
Speaker 3: you know that movie. I really enjoyed that movie and

975
00:52:26,920 --> 00:52:30,080
Speaker 3: the overall. Yeah, so I took my kids to see

976
00:52:30,080 --> 00:52:35,160
Speaker 3: it this weekend. Only fell asleep for like fifteen minutes. Yeah,

977
00:52:35,560 --> 00:52:37,160
Speaker 3: my kids absolutely loved it.

978
00:52:37,880 --> 00:52:38,920
Speaker 4: I thought they fell asleep.

979
00:52:39,440 --> 00:52:42,400
Speaker 3: I no, No, I only fell asleep for fifteen minutes.

980
00:52:43,000 --> 00:52:44,759
Speaker 4: Was it which should they wake you up? Or did

981
00:52:44,800 --> 00:52:46,320
Speaker 4: you do that thing? We're like, oh, ship up in

982
00:52:46,360 --> 00:52:46,719
Speaker 4: a sleep?

983
00:52:47,520 --> 00:52:49,160
Speaker 1: Yeah, the latter.

984
00:52:49,480 --> 00:52:51,400
Speaker 3: And when I told them that I was asleep for

985
00:52:51,440 --> 00:52:52,920
Speaker 3: a portion of it because they were asking me a

986
00:52:53,000 --> 00:52:55,320
Speaker 3: question that I couldn't answer.

987
00:52:56,120 --> 00:52:57,960
Speaker 1: About what happened? Like that what happened?

988
00:53:02,160 --> 00:53:06,000
Speaker 3: But I, yeah, it's a very good execution of what

989
00:53:06,080 --> 00:53:10,080
Speaker 3: it is. But I expected this movie to do badly

990
00:53:10,280 --> 00:53:13,120
Speaker 3: from the second I saw the first trailer because it

991
00:53:13,320 --> 00:53:17,160
Speaker 3: like takes place on their home, like on the Transformer

992
00:53:17,239 --> 00:53:21,920
Speaker 3: home planet, like in a Transformer's world where they like

993
00:53:22,080 --> 00:53:26,720
Speaker 3: it's just like Transformer v. Transformer fighting, like bug aliens

994
00:53:26,880 --> 00:53:30,280
Speaker 3: mixed in and there's just like a ton of moving

995
00:53:30,360 --> 00:53:32,480
Speaker 3: parts and like it's not even clear like what the

996
00:53:32,520 --> 00:53:35,719
Speaker 3: steaks are or like what what's haed Like you kind

997
00:53:35,719 --> 00:53:39,759
Speaker 3: of have to be familiar with Transformers lore, and the

998
00:53:39,880 --> 00:53:42,120
Speaker 3: animation does take like a little getting used to, and

999
00:53:42,239 --> 00:53:46,680
Speaker 3: my kids fucking loved it. I ate too many Jlopago

1000
00:53:46,719 --> 00:53:49,719
Speaker 3: peppers with my popcorn and haven't felt right since.

1001
00:53:50,960 --> 00:53:51,760
Speaker 4: With each kernel.

1002
00:53:52,960 --> 00:53:58,360
Speaker 3: Basically, oh man, that I don't recommend that I like.

1003
00:53:58,400 --> 00:54:00,240
Speaker 3: As much as I enjoy it, I need to stop

1004
00:54:00,280 --> 00:54:03,680
Speaker 3: doing it because it really fucks me up. Stach, Oh yeah,

1005
00:54:05,160 --> 00:54:07,160
Speaker 3: but it does. It does feel like a movie where

1006
00:54:07,160 --> 00:54:09,239
Speaker 3: the IP is weighing it down, like if they had

1007
00:54:09,400 --> 00:54:12,719
Speaker 3: taken a similar story and like put it in a

1008
00:54:12,760 --> 00:54:17,360
Speaker 3: world that wasn't Transformers and just like simplified it without

1009
00:54:17,440 --> 00:54:21,040
Speaker 3: like all the lore and you know the things you

1010
00:54:21,080 --> 00:54:23,120
Speaker 3: have to do because you're telling a Transformers movie. I

1011
00:54:23,160 --> 00:54:25,800
Speaker 3: feel like it might have done better.

1012
00:54:26,719 --> 00:54:28,719
Speaker 1: I wonder how it did in China, though, which I

1013
00:54:28,719 --> 00:54:32,160
Speaker 1: felt like has become the biggest audience for Transformers films,

1014
00:54:32,200 --> 00:54:33,200
Speaker 1: like the last few.

1015
00:54:32,960 --> 00:54:37,480
Speaker 3: Ones disappointing both in America and overseas. I don't know

1016
00:54:37,520 --> 00:54:41,640
Speaker 3: if it's opened in China yet. I can't imagine Beetlejuice.

1017
00:54:41,640 --> 00:54:44,239
Speaker 3: Beetlejuice is doing well in China right because don't they

1018
00:54:44,400 --> 00:54:45,360
Speaker 3: not fuck with ghosts.

1019
00:54:46,440 --> 00:54:47,160
Speaker 1: Oh, I don't know.

1020
00:54:47,400 --> 00:54:50,080
Speaker 3: Yeah, I always heard that as an explanation for why

1021
00:54:50,239 --> 00:54:53,279
Speaker 3: the Star Wars movies don't do well in China.

1022
00:54:52,960 --> 00:55:00,520
Speaker 1: Yeah, but Beetlejuice is like a fucking you know, a creep. Yeah, yeah, ghost.

1023
00:55:01,200 --> 00:55:05,520
Speaker 3: Yeah that's true. He's just you know, he's real piece

1024
00:55:05,560 --> 00:55:09,040
Speaker 3: of shit. But yeah not now my kid, like I

1025
00:55:09,120 --> 00:55:11,400
Speaker 3: fucked up. Basically I shouldn't have taken my kids to

1026
00:55:11,440 --> 00:55:14,359
Speaker 3: see this movie because now they're like, all they want

1027
00:55:14,440 --> 00:55:17,359
Speaker 3: to do is see the Michael Bay Transformers movie, which

1028
00:55:17,400 --> 00:55:21,319
Speaker 3: I had managed to not see a single like one

1029
00:55:21,360 --> 00:55:22,640
Speaker 3: of those end to end.

1030
00:55:22,920 --> 00:55:25,760
Speaker 1: Then they'll have a formative memory that of Megan Fox

1031
00:55:25,840 --> 00:55:29,960
Speaker 1: working on an old car. Yeah ah wow, to be

1032
00:55:30,040 --> 00:55:32,239
Speaker 1: young again and have that be the movie or like

1033
00:55:32,840 --> 00:55:35,360
Speaker 1: and I had, I had a crush on Megan Fox

1034
00:55:35,400 --> 00:55:37,440
Speaker 1: from this old Transformers movie.

1035
00:55:37,640 --> 00:55:38,920
Speaker 4: Right, what an age?

1036
00:55:38,960 --> 00:55:39,480
Speaker 1: What an age?

1037
00:55:39,560 --> 00:55:40,040
Speaker 4: What an era?

1038
00:55:41,840 --> 00:55:45,920
Speaker 3: Anyways, it does feel like, I don't know, the the

1039
00:55:45,960 --> 00:55:50,280
Speaker 3: IP stuff is obviously working in some cases right inside

1040
00:55:50,320 --> 00:55:53,920
Speaker 3: out to Beetlejuice too. It's like a real uh summer

1041
00:55:54,040 --> 00:55:55,800
Speaker 3: for Part two movies.

1042
00:55:55,960 --> 00:55:57,320
Speaker 1: I feel like the.

1043
00:55:56,920 --> 00:56:01,440
Speaker 3: Parts Parts two are killing it. But it does feel

1044
00:56:01,600 --> 00:56:06,320
Speaker 3: like we're at some end point, and like movies made

1045
00:56:06,320 --> 00:56:10,200
Speaker 3: by independent filmmakers on like cheap budgets are going to

1046
00:56:10,239 --> 00:56:14,359
Speaker 3: have to start coming out and replacing what is being

1047
00:56:14,400 --> 00:56:17,359
Speaker 3: lost in the current studio system.

1048
00:56:17,719 --> 00:56:19,120
Speaker 1: It's just a matter of like where.

1049
00:56:18,920 --> 00:56:21,440
Speaker 3: People are going to go see those because now like

1050
00:56:22,040 --> 00:56:25,759
Speaker 3: Sony owns the Alamo Draft House, and like even the

1051
00:56:25,800 --> 00:56:30,239
Speaker 3: independent theaters are kind of being owned. And you know

1052
00:56:30,400 --> 00:56:33,160
Speaker 3: that there were there were monopoly laws about like distribution

1053
00:56:33,320 --> 00:56:37,239
Speaker 3: and studios owning distribution methods, and those are kind of

1054
00:56:37,239 --> 00:56:37,680
Speaker 3: gone away.

1055
00:56:38,160 --> 00:56:38,640
Speaker 4: Losers.

1056
00:56:38,680 --> 00:56:43,319
Speaker 1: Man, yeah, fuck the paramount decrees. Man, yeah, yeah, we

1057
00:56:43,320 --> 00:56:43,960
Speaker 1: can all agree.

1058
00:56:44,000 --> 00:56:45,319
Speaker 3: I think we can all agree on this.

1059
00:56:45,800 --> 00:56:49,080
Speaker 1: I think I think look, Maga Democrat, we can all

1060
00:56:49,160 --> 00:56:54,000
Speaker 1: degree all degree, we can all agree, agree, agree, Fuck

1061
00:56:54,080 --> 00:56:54,719
Speaker 1: the paramount.

1062
00:56:54,960 --> 00:56:55,560
Speaker 4: I gotta go.

1063
00:56:56,719 --> 00:57:00,680
Speaker 3: That's been our time, folks, our brains shutting down.

1064
00:57:00,840 --> 00:57:01,400
Speaker 2: It's early.

1065
00:57:02,920 --> 00:57:05,440
Speaker 3: We are back tomorrow with the whole last episode of

1066
00:57:05,640 --> 00:57:08,719
Speaker 3: the show. Until then, be kind to each other, be

1067
00:57:08,880 --> 00:57:11,840
Speaker 3: kind to yourself, get the vaccine, get your flu shots,

1068
00:57:11,880 --> 00:57:15,399
Speaker 3: don't do nothing about white supremacy, and we will talk

1069
00:57:15,440 --> 00:57:16,520
Speaker 3: to all tomorrow.

1070
00:57:16,760 --> 00:57:22,440
Speaker 1: Bye bye,