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Speaker 1: Hello the Internet, and welcome to this episode of The

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Speaker 1: Weekly Zeitgeist. Uh These are some of our favorite segments

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Speaker 1: from this week, all edited together into one NonStop infotainment

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Speaker 1: laugh stravaganza. Uh yeah, So, without further ado, here is

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Speaker 1: the Weekly Zeitgeist. Anyways, we are thrilled to be joined

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Speaker 1: in our third seat by the host of how to

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Speaker 1: Do the Pot podcast Demystifying Cannabis for Women. Please welcome

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Speaker 1: back to the show, Ellen Scandling. Hi, I'm so happy

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Speaker 1: to be here again. Oh yeah, yes, thanks for coming back.

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Speaker 1: Thanks for coming back. What's new? How are you doing?

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Speaker 1: I'm good, I'm good. Do you have the group joint roller?

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Speaker 1: I don't have the group joint roller. I'm sort of

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Speaker 1: a pre roll buyer. Sorry, well, no, I buy pre

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Speaker 1: rolls too, because there are ones that are okay. This

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Speaker 1: is the thing. I usually wouldn't buy pre roles because

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Speaker 1: the flower that was in pre roles was just like

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Speaker 1: the cast it off shake and like not yeah exactly,

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Speaker 1: go Like I'm trying to eat chicken tenders, you know,

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Speaker 1: real meat. So I would always buy the flower and

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Speaker 1: roll my own. But now there's a lot of pre

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Speaker 1: roles that are pretty pretty potent. But also there's some

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Speaker 1: trouble because these dudes in California like suit this company

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Speaker 1: because they're like, yo, you're lying about the percentages on

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Speaker 1: your fucking pre rolls, because that is another are hiding

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Speaker 1: a percentage, You're hiding a less potent pre roll behind

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Speaker 1: these numbers. But yeah, what's your with I feel like

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Speaker 1: a lot of people and they're going to dispensary shorthand

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Speaker 1: is like how high the percentages? But I've also experienced

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Speaker 1: things like that the percentages aren't necessarily indicative of what

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Speaker 1: how I'm gonna you know, take that in what's what's well,

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Speaker 1: how do you determine, you know what what pre rolls

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Speaker 1: right for you? Well? I think the first thing that

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Speaker 1: I learned after being in the industry for a while

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Speaker 1: is that Sativa indica hybrid is not really going to

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Speaker 1: help you very much. And it's tough because that's kind

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Speaker 1: of what's available and that's the classification and that's usually

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Speaker 1: how people will start. But it's it's more of a signal.

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Speaker 1: I think, like if you say I want an indica,

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Speaker 1: the bud tender is sort of triangulating that to say,

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Speaker 1: like this person wants to chill out. This person wants

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Speaker 1: to be mellowed, stiva. You want something energizing, have intrusive

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Speaker 1: thoughts in my case, right, yeah, you know, I tell

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Speaker 1: them how I want to feel. Um, I just go

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Speaker 1: in with a handful of cash and you're like hid

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Speaker 1: like one happy please, a happy giggly day please, no

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Speaker 1: stress and one mild panic attack. That was my order.

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Speaker 1: Damn I shouldn't have ordered that. That's what sucked me up. Yeah.

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Speaker 1: I think you'd just be chill and not panicked. Oh okay,

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Speaker 1: well they you should go to this side of the store.

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Speaker 1: Oh fantastic. So I start there, and then we have

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Speaker 1: we created this list of the twelve essential strains that

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Speaker 1: we think, you know, everyone should have in their stash.

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Speaker 1: And you don't have to have all twelve, but maybe

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Speaker 1: two or three. And so I kind of use that

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Speaker 1: as a guide, like, you know, if you like O. G. Kush,

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Speaker 1: then tell them that if you like. If you like

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Speaker 1: a strain, then usually I say I like that. What

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Speaker 1: else do you have? I have some brands now that

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Speaker 1: I like to so I get a little brand specific.

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Speaker 1: But it's tough. I mean, walking in it's like you

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Speaker 1: are a kid in a candy store. But there's so

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Speaker 1: much candy and you don't really know what any of

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Speaker 1: it tastes like, and so it's a little bit hard.

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Speaker 1: The shopping part is still evolving. I think for sure,

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Speaker 1: what are we going to start getting days international days

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Speaker 1: for for a specific strain? The way that what what

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Speaker 1: was the wine that had is today? Which like, no

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Speaker 1: matter what kind of wine you drink, the drunk is

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Speaker 1: the same. I know, like alcoholics like to be like, no,

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Speaker 1: actually I was white wine drunk and was feeling very bubbly.

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Speaker 1: I don't. I don't believe any of that ship, but

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Speaker 1: like weed is much more different. It should have more

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Speaker 1: like knowledge of the strains than all the knowledge around

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Speaker 1: different wine types. I mean, yeah, it's yeah, where is

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Speaker 1: our wake? Where is our fucking O G Cush Holiday?

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Speaker 1: I proclaim August eighteen, eight one eight as O G.

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Speaker 1: Cush Day to celebrate the O. G. Cush growers of

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Speaker 1: the San Fernando Valley. Thank you so much. Yeah, we've

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Speaker 1: been trying to get an international day together. Let's do it.

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Speaker 1: I won't be able to partake, but you know you

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Speaker 1: don't have to. I'd love to give you a candy cigarette.

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Speaker 1: You can have a drink a little grape juice and

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Speaker 1: have a nice candy cigarette and I'll sit and I'll

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Speaker 1: be sipping lean and smoking up blunt. What is something

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Speaker 1: from your history? All right? Well, what I've been searching

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Speaker 1: is a Pokemon scarlet and Violet weeks. Yes, so the game.

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Speaker 1: The game leaked last night and that means like somebody

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Speaker 1: got an early copy of it and there basically uploading

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Speaker 1: photos from the game online because a lot of stuff

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Speaker 1: is under wraps right now. So I've been checking the

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Speaker 1: subreddit for that constantly, just for new updates, to see

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Speaker 1: new Pokemon. So what are the good ones? What do

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Speaker 1: you see that's like, oh, I'm catching that immediately. Oh well,

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Speaker 1: there's this one called small Live okay, and it's like

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Speaker 1: a little olives and it evolves into something called Dolive,

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Speaker 1: which is like a little olive doll looking thing. So

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Speaker 1: I'm super excited about that. Cute. Keep this overload it.

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Speaker 1: So when a new Pokemon game is released, there are

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Speaker 1: new pokey like individuals Pokemon's who are introduced, so that

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Speaker 1: that's what is exciting. Besides they're just being a new game, yes, um,

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Speaker 1: and and especially in this generation, they're doing this like

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Speaker 1: whole future and past thing, so like they're taking old

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Speaker 1: Pokemon and giving them like like what would you call them,

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Speaker 1: like archaic forms, and they're taking old Pokemon and giving

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Speaker 1: them future forms and stuff too, So a little bit

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Speaker 1: of new and then reinventing the wheel a little bit.

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Speaker 1: I like the cute outfits and the new towns. I

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Speaker 1: like when I get my bike and I can just

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Speaker 1: ride around through a field catching things. It's just it's

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Speaker 1: so simple, and then you get like a little happy too,

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Speaker 1: and then you just collect without having to spend money,

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Speaker 1: which you know, for some of this is a challenge.

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Speaker 1: So I really appreciate come on being there. But yeah,

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Speaker 1: the game comes out in like two weeks, so it's

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Speaker 1: gonna be it's gonna be so fun mm hmm. Yeah.

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Speaker 1: I'm I'm personally in the in the process of like

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Speaker 1: the Pokemon wave is coming with my four year old

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Speaker 1: and six year old, Like my six year old friends

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Speaker 1: are talking Pokemon. He just hasn't gotten interested in it,

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Speaker 1: and so I'm just like, I'm gonna have to do

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Speaker 1: a deep dive. I'm gonna I'm gonna, you know, have

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Speaker 1: to know what any of this ship means in the

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Speaker 1: not too distant future. But for now, I am enjoying

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Speaker 1: the brain space that I get to devote to things

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Speaker 1: that are not Pokemon. Don't be the dad that calls

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Speaker 1: everything Pikachu. Okay, there are many different versions. You should

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Speaker 1: learn at least fifty of them, and maybe give him

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Speaker 1: like an old school game boy so he can really

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Speaker 1: get down on some of the classics. But also des Okay.

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Speaker 1: Card shops all over l A. There's a ton of

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Speaker 1: them here. You can go and get like vintage. Some

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Speaker 1: people still like your whole binders. Sometimes they'll do like

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Speaker 1: ten mystery ones for a dollar or whatever. Give him

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Speaker 1: some cards he don have the actual game, and he'll

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Speaker 1: be hooked, and then you'll have a fun way to interact.

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Speaker 1: You can teach you the game. You could just play it.

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Speaker 1: It's fun, you know, it's not looking at another screen.

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Speaker 1: It's also a good introduction to predatory capitalism because when

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Speaker 1: you're like six, there's like the seven year olds who

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Speaker 1: are like, yo, let me uh, let me see that

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Speaker 1: card here? I got, I got this one that I'll

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Speaker 1: trade for. Yeah, I mean that's what that's what like

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Speaker 1: baseball cards did for me when I was his age.

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Speaker 1: So yeah, it's coming. I'll be I'll be studied up

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Speaker 1: the next time this comes up on the daily said geist,

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Speaker 1: or maybe I won't. Maybe they'll just go in a

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Speaker 1: different direction. Minecraft is the other thing, but sure, what

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Speaker 1: is it? Roadblocks? Roadblocks? I know, but really everywhere, like

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Speaker 1: just even even trigger treating, Like we get a thousand

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Speaker 1: trigger treaters like every Halloween. And we had some friends

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Speaker 1: over who were, you know, like eight years younger than

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Speaker 1: I am, and they were calling out all the Pokemon

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Speaker 1: costumes by name, like they you know, I I got Pikachu.

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Speaker 1: That was the one that I recognized. But they were

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Speaker 1: like calling all of them out, and I guess, you know,

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Speaker 1: of the costumes that I had just been like, Oh,

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Speaker 1: it's a funny little guy that was That was what

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Speaker 1: I thought. That's a funny fun a little uh animal thing,

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Speaker 1: that's cute. Oh you're like a little dragon thing. We're

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Speaker 1: we're actually poke pokemons the whole time. And I'm a fool.

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Speaker 1: But anyways, I'm gonna work on it. This is actually

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Speaker 1: goes back to I used to Roticyce called cracked, and

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Speaker 1: like our editorial team was all just right on the

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Speaker 1: brink of like being too old to know about Pokemon

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Speaker 1: and then even like the younger ones didn't really like

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Speaker 1: we just had like an editorial bias where they were

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Speaker 1: just like not in on Pokemon, and we like had

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Speaker 1: multiple meetings where we were like, we've got a I

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Speaker 1: think we gotta hire for Pokemon to like get coverage

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Speaker 1: in the Pokemon home world because we're just like so

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Speaker 1: bad at this. Oh yeah, yeah, I forget that Pokemon

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Speaker 1: appeals to children at this stage, Like I forget that

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Speaker 1: it's like made for children, and I'm like, oh, oh yeah,

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Speaker 1: kids like that. Kids don't know nothing about classic poket.

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Speaker 1: You didn't have to buy a light that shined into

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Speaker 1: your game system so you can see the screen at night. Okay,

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Speaker 1: you don't know. I don't know how difficult it was

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Speaker 1: collecting those early packs in a band at school. It's

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Speaker 1: a struggle to be a part of the system. Okay, Well,

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Speaker 1: hopefully I reminded you that there's some easy trades to

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Speaker 1: be made because you can just prey on the ldren

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Speaker 1: just getting just getting into it. Don't know, they don't

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Speaker 1: know better yet. Perfectly. Let's stick with you, Hanna, what

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Speaker 1: is something you think is overrated? Alright, I'm gonna do

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Speaker 1: another one. I'm know I'm gonna get dragged, and I

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Speaker 1: know I'm gonna to get slammed. But sparkling water mm hmm,

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Speaker 1: or and or mineral water, why just why? I still

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Speaker 1: don't understand it. It's not just that I don't like it.

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Speaker 1: I don't see the necessity. Why why? Why? Why not?

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Speaker 1: Just water? Carbonated water is a frivolous pursuit, thank you.

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Speaker 1: It bothers me to be asked sparkling or still of course? Still? Who? Who? Anyway?

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Speaker 1: I just say confused they say sparkling or still or flat?

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Speaker 1: Don't they say flat too? I'm just like, what is

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Speaker 1: flat old sparkling water that you let get flattening? You're that?

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Speaker 1: Or is it totally overrated? All the shows with the

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Speaker 1: posh women with their sparkling water. I can't. I can't

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Speaker 1: stand it anymore. And that's my story and I'm sticking

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Speaker 1: to Okay, not tell me how does this come from?

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Speaker 1: For you? You're like, if things have bubbles in it,

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Speaker 1: there better be flavored. Thank you. I know I'm asking.

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Speaker 1: Is that sort of the logic a little bit? Yes?

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Speaker 1: I just think water should not be messed with. Water

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Speaker 1: is water is water, and it shouldn't be messed around

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Speaker 1: with and that's all. And you're right if it's bubbly,

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Speaker 1: give me some flavor or something, thank you, Okay. It's

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Speaker 1: like sort of the way my mom would talk about it,

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Speaker 1: for being from Japan, where she's like, I don't understand

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Speaker 1: why people drink bubble water. She's like, it's water. You

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Speaker 1: need water, and she had she's a very like rigid

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Speaker 1: thing and she's like, oh no, like if you offered

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Speaker 1: her like spartners, like, because there's this assumption that it

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Speaker 1: is the Bougee water, right, like of course you want it,

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Speaker 1: of course, you know, I'm I'm I'm being generous and

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Speaker 1: giving you the sparkling water right right right, not like

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Speaker 1: the you know, the peasant water, right you know. What

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Speaker 1: I just found out also is the Seltzer water, and

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Speaker 1: like all those things have carbonic acid in it. I

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Speaker 1: have a friend who's a dentist and they were like, yeah,

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Speaker 1: don't drink like bubbly water and think it's the same

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Speaker 1: as drinking regular water. It's really bad for your teeth,

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Speaker 1: like carbonic acid. So another another mark against it. Thank

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Speaker 1: you dentist and Miles Mom, Yes it can be on

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Speaker 1: the WhatsApp chat. Yeah, what is something you think is overrated.

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Speaker 1: I know that that y'all will relate to this, miles

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Speaker 1: and I know you'll relate to this. But collagen creams,

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Speaker 1: collagen creams for the face, thank you? Right? I know.

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Speaker 1: Let me tell you why? Then, let me tell you why.

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Speaker 1: There have been multiple studies that have shown that these

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Speaker 1: creams with collagen why applied on your skin? There the

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Speaker 1: molecules aren't big enough to penetrate into your skin. It's

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Speaker 1: been like proven and study, eat and all these things.

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Speaker 1: Yet it's like crazy how much it is available and

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Speaker 1: how many people are buying it, and how many people

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Speaker 1: are living by. You gotta buy this cream. You gotta

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Speaker 1: buy the scream and yeah, I just feel like now

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Speaker 1: every time I see it, I'm like, uh, this is

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Speaker 1: a scam. I'm not going to fall for the oky

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Speaker 1: doak this college and cream don't work, But I might

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Speaker 1: try the ingustible like liquid collagen. What about you guys?

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Speaker 1: Are you guys using collagen at all? Well? As you

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Speaker 1: As you know, I tried to sell you my personal

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Speaker 1: brand of collagen cream before we started recording. So I

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Speaker 1: am feeling a little attacked right now. But I don't

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Speaker 1: use it, absolutely not. It's a complete skate snake oil.

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Speaker 1: But I'm a royal jelly person myself. Yeah, so it

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Speaker 1: looks great both of you. I mean, some say it's genetics.

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Speaker 1: I would agree probably that it's genetics, but I like

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Speaker 1: to say it's from rubbing these jellies on my face. Wait,

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Speaker 1: what is royal jelly? Jelly face? Hey, jelly face? What

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Speaker 1: is royal jelly? Royal jelly is, like I know it

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Speaker 1: because in Japan, like an Asian like skincare products, people

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Speaker 1: are going wild for royal jelly like it's like comes

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Speaker 1: from honey Bees. It's like a secretion where they're like, oh,

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Speaker 1: like it's fantastic. For all I know is royal jelly

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Speaker 1: was a big fat I remember witnessing as a kid

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Speaker 1: and like my mom and aunts were like jelly, And

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Speaker 1: then I just saw Bees on the cover and I

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Speaker 1: know it's from bees. But apparently the people talk about

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Speaker 1: it for skin and is amazing today. Yeah, look, or

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Speaker 1: you know, just go with whatever. Cindy Crawford is using

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Speaker 1: dr obagi that I see late at night on TV.

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Speaker 1: Search don't follow these celebrities. Who knows what they do

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Speaker 1: in them clinics? Yeah, seriously, what something you think is underridded.

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Speaker 1: I don't know. I have a nice apple today. I

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Speaker 1: was like, when's the last time you ate an apple? Right? Yeah?

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Speaker 1: Apples are great? Into it. I'm an apple jack. I

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Speaker 1: love I love me some apple. That Cerea was named

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Speaker 1: after meal. Yeah, it's very sweet, like just so much sugar.

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Speaker 1: Like how their tagline for that cereal was, it doesn't

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Speaker 1: taste like apples. It doesn't taste like the thing it's

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Speaker 1: named for that you would just human taste like. It

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Speaker 1: tastes like a third thing. I think apples have the

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Speaker 1: highest ratio of like the actual thing is much better

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Speaker 1: than anything that's flavored after it. Like any of the

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Speaker 1: synthetic flavors for apple just aren't as good as just

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Speaker 1: a nice crispy Yeah, it really just apple. Sometimes you're

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Speaker 1: just at the farmer's market and you're like, oh funk,

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Speaker 1: what's in season? Apples? You refresh your apples. I don't

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Speaker 1: you ever like to eat a cold apple? I don't know.

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Speaker 1: I have been doing demonic energy putting putting a fresh

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Speaker 1: apple in the I'm a demon, you know. Look, I

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Speaker 1: eat soft fries and fucking ice with these soft fries,

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Speaker 1: I didn't love them. What does that mean, just like

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Speaker 1: when you get like you know, like when you get

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Speaker 1: like a fry and then you get that one like

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Speaker 1: loose one that's just like, oh, the one that's like

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Speaker 1: to oily. Yeah that's what you like. Yeah that's weird. Yeah,

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Speaker 1: my doctor says, I have problems, but whatever, like you,

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Speaker 1: it's not just the two have fries. Is that they're crispy,

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Speaker 1: and Miles likes a whole batch. That is, he likes

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Speaker 1: in and out. That's like, man, I go, I told you,

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Speaker 1: I go to step further. I asked them to funk

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Speaker 1: them up harder, rare. You asked the medium rare like

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Speaker 1: in and out blue fries. Yeah, in and out the

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Speaker 1: fries are kind of garbage anyway, for sure. That's that

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Speaker 1: is the rational. But to say this because we're from

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Speaker 1: Los Angeles, the only way I lean into them is

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Speaker 1: to go like softer, Like I like a softer yeah, floppy.

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Speaker 1: That's why I said, like, I went to Seattle, and

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Speaker 1: I want to keep bringing this up. Dicks in Seattle

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Speaker 1: had the best like meat like in between, where like

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Speaker 1: the edges were crispy but also a little bit soft.

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Speaker 1: I don't like eating like soft, you like a steak fry,

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Speaker 1: like a big a little too massive, A little too massive. Yeah,

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Speaker 1: you might as well give me a big potato with that,

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Speaker 1: you know. I had actually some really good potato pancakes

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Speaker 1: with the Red Lion the other day. You ever get

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Speaker 1: the potato pancakes there. Oh, they're fucking so you might

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Speaker 1: like them as a connoisseur of soft fries because they're

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Speaker 1: just like they're like a papoosa almost. They're like they're

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Speaker 1: they're not like a potato pancake, like a like a

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Speaker 1: Jewish potato pancake that's like a lash ground, you know,

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Speaker 1: like grated. These are truly like a blob of mashed

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Speaker 1: potatoes that's been like deep fried and then it's so good.

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Speaker 1: See you got try to see you can ask you

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Speaker 1: one more question, because now this is a yeah, do

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Speaker 1: you like shoes string fries? Yeah? The best shoes string

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Speaker 1: onions onion strings, Yeah, with an onion strings. I think

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Speaker 1: those are sucking, super underrated. Yeah, I mean not necessarily.

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Speaker 1: You get the softy boys in there, the softy brothers. Yeah,

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Speaker 1: softy brothers. A couple of softy brothers in your onion

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Speaker 1: strings uncut fries. I was picturing the ones that like

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Speaker 1: coming a can that are No, no, no, we're at

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Speaker 1: an establishment. I'm talking about like a bloom and onion

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Speaker 1: you mean like those like frenches onion strings like they

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Speaker 1: use like an I was talking frenches. Yeah, yeah, I'm cultured,

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Speaker 1: so I work with frenches. You with the francophile. Does

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Speaker 1: anybody prefer a soft apple over a crisp apple like that?

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Speaker 1: That's a question because sicko ship that is sicko like.

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Speaker 1: But but apples persists, like there are plenty of apple

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Speaker 1: strains that go pretty mushy and stay on store shelves,

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Speaker 1: And I'm just wondering, is there even an opinion that

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Speaker 1: people have or is it just a categorical failure of

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Speaker 1: the apple. Part of the fun of eating real food,

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Speaker 1: eating real fruit is yeah, yeah, you're playing apple roulette

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Speaker 1: every time. Yeah, well you get the bad apple in

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Speaker 1: the chamber the most delicious apple. I do want to

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Speaker 1: hear from any listeners if you if you are a

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Speaker 1: mushy apple person, I don't just don't just take the opinion,

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Speaker 1: but like, really, if there is a mushy apple that

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Speaker 1: you funk with, like you're a I feel like red

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Speaker 1: delicious tent to be on the mushier side. If you're like,

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Speaker 1: red Delicious is actually the best apple, but let me know,

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Speaker 1: because I'm I am confused about the persistence of the

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Speaker 1: red Delicious and some of the other kind of mushier

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Speaker 1: types of apple. All right, well, now that we've got

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Speaker 1: the important stuff out of the way, let's take a

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Speaker 1: quick break and we'll come back and talk about election

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Speaker 1: results and how different parts of the country are taking them.

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Speaker 1: And we're back, and I think it's time to check

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Speaker 1: in with Fox News again. It's it's always nice and

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Speaker 1: look how they're reacting to bad news for their party.

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Speaker 1: I love a little fascist freak out. I think we

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Speaker 1: can have a little Fox News rage as a little

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Speaker 1: treat for everybody this Friday morning. Why not, because they

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Speaker 1: are still angrily dealing with what the heck happened in

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Speaker 1: these mid terms. I thought it was a red wave.

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Speaker 1: Here's a fantastic supercut from Katabu on Twitter. I can't

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Speaker 1: believe John Federman wall this is in fact bad for

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Speaker 1: the Democrats. They're gonna misread. This is like, oh, we

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Speaker 1: want Joe Biden was not punished morning. Had there been

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Speaker 1: a big red wave, everybody would be going blame Joe

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Speaker 1: Biden can't say that. You can't say that right now,

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Speaker 1: it's still a win for pro lifers. This new generation

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Speaker 1: is totally brandwashed. When we just owned the Libs, we

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Speaker 1: didn't win those races. This is not a surprise. We

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Speaker 1: knew it would be extremely tight. I got the red wave,

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Speaker 1: the red tide, whatever it was. It doesn't matter at

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Speaker 1: this point. They're always going to spend things against this.

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Speaker 1: Single women and voters under forty have been captured by Democrats.

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Speaker 1: So we need these ladies to get married. Okay, I've

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Speaker 1: been saying that for years, right, Yeah, So that's they're

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Speaker 1: they're starting like they're having a they're having an interesting week.

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Speaker 1: There was one where Tucker Carlson, I think night last

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Speaker 1: night or the day before, he was like, now, what

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Speaker 1: happens to all these people who we gave millions of

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Speaker 1: dollars to? Like he's he's so mad at like going,

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Speaker 1: I don't know what it is. I think he I

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Speaker 1: think he's more speaking on behalf of probably these mega

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Speaker 1: downers that he convinced to go all in on these

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Speaker 1: mid terms, like this terrible fucking plan and is now

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Speaker 1: trying to put put it at someone else's feet. When

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Speaker 1: let's be real, like him and Hannity have some pretty

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Speaker 1: outsized power in terms of how the GOP might speak.

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Speaker 1: I mean, can we also just have a moment to

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Speaker 1: recognize that. I guess it's gen z. They do not

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Speaker 1: do surveys. Too many surveys, too many surveys already in

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Speaker 1: their life. They're like, I'm not, dude, a survey. Yeah,

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Speaker 1: like I don't pick up calls from my fucking gramm. Yeah, survey,

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Speaker 1: we'll show up. Yeah. I mean, although I you know,

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Speaker 1: I do think just yelling, yelling at your viewers is

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Speaker 1: the way that they've always energized their party, So I

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Speaker 1: would really which I feel like it's all part of this,

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Speaker 1: you know, basically dominant submissive relationship they all have with

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Speaker 1: each other, and now they're just it's like, how do

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Speaker 1: you what are you doing? You guys? Bad bad bad bad,

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Speaker 1: and so could be like okay, and like it will

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Speaker 1: it will actually energize them. So I'm a little bit.

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Speaker 1: I just see that, and I get I want to

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Speaker 1: revel in it, but it concerns me. Well. I think

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00:24:09,600 --> 00:24:12,119
Speaker 1: it is interesting, though, is how few people who like

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00:24:12,240 --> 00:24:15,520
Speaker 1: Republicans actually did lose elections. They didn't go straight to

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Speaker 1: the full shit thing, which is interesting. I'm like a

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00:24:19,800 --> 00:24:21,679
Speaker 1: lot of people suspect that it could be because of

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Speaker 1: like the lawsuits that are hanging around and like potential

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Speaker 1: other legal issues that might arise from that kind of

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Speaker 1: like election denialism, that may have hampered the appetite to

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Speaker 1: do that. But that was one thing I was fully like, okay,

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Speaker 1: because before we heard like people in certain countries like

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Speaker 1: we already want an audit of the vote, like before

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Speaker 1: election day, So that felt like a preview of things

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Speaker 1: to come. But it hasn't quite materialized in the way

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Speaker 1: I had feared. Yeah, and that's super cut. I forget

414
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Speaker 1: who said it, but just the and Biden wasn't punished

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Speaker 1: totally sounds Yeah, that was totally sounds like when the

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Speaker 1: Grinch is mad that the Christmas still went on it

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Speaker 1: came with no ribbons came. Here's the sound of singing. Yeah. Right,

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Speaker 1: So let's talk about because I also feel like there's

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Speaker 1: a inability to cope with what we've seen in some

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Speaker 1: you know, more local but very like yeah, I guess

421
00:25:20,400 --> 00:25:24,720
Speaker 1: also in the Fetterman race, but like progressive values had

422
00:25:24,720 --> 00:25:28,600
Speaker 1: a really good day at the pole, and specifically like

423
00:25:28,640 --> 00:25:32,159
Speaker 1: the crime wave narrative that I think a lot of

424
00:25:32,200 --> 00:25:36,120
Speaker 1: the mainstream media, even though they're supposedly liberal, they really

425
00:25:36,119 --> 00:25:39,840
Speaker 1: bought into this that like crime wave is going to

426
00:25:40,000 --> 00:25:43,680
Speaker 1: scare voters. We must Democrats, must double down on police,

427
00:25:44,080 --> 00:25:47,600
Speaker 1: must do this, And like it's been just a persistent

428
00:25:47,680 --> 00:25:52,240
Speaker 1: narrative ever since Chase A. Bootine in San Francisco, like

429
00:25:52,480 --> 00:25:57,000
Speaker 1: was recalled. The media has been like progressive politics is

430
00:25:57,040 --> 00:25:59,720
Speaker 1: a loser. It's a it's a wave of we're all

431
00:25:59,760 --> 00:26:05,360
Speaker 1: fun and that that just really hasn't born out. But

432
00:26:05,359 --> 00:26:09,680
Speaker 1: we're still not really seeing that messaging breakthrough. No, it's

433
00:26:09,720 --> 00:26:12,159
Speaker 1: it's interesting again, no one's really talking. There were a

434
00:26:12,240 --> 00:26:15,480
Speaker 1: lot of progressive days that either were elected or reelected

435
00:26:15,640 --> 00:26:21,000
Speaker 1: across the country, you know, like this is like like Philly, Chicago, Iowa, Texas,

436
00:26:21,160 --> 00:26:25,560
Speaker 1: Oklahoma City, like a whole assortment of states from red

437
00:26:25,640 --> 00:26:27,879
Speaker 1: to purple to blue. You know, they had it all.

438
00:26:28,240 --> 00:26:30,560
Speaker 1: And Oklahoma City, I just want to point out to

439
00:26:30,760 --> 00:26:33,919
Speaker 1: not necessarily a place or like Iowa, Texas where the

440
00:26:33,960 --> 00:26:36,840
Speaker 1: shorthand of the media is like, oh, woke bastion, Like

441
00:26:37,040 --> 00:26:41,520
Speaker 1: you know, San Francisco, although like that one with Boudine

442
00:26:41,560 --> 00:26:43,800
Speaker 1: was a little bit of an out liar, because San

443
00:26:43,840 --> 00:26:46,080
Speaker 1: Francisco is like a little more of a unique quantity.

444
00:26:46,119 --> 00:26:49,919
Speaker 1: When you look at electoral politics, billionaires like per square

445
00:26:49,960 --> 00:26:54,960
Speaker 1: mile of any locations. Most people are like, it's all dreadlocks,

446
00:26:54,960 --> 00:26:59,600
Speaker 1: and so like, no, it isn't. But anyway, in many

447
00:26:59,720 --> 00:27:02,760
Speaker 1: of these areas though where progressive days were elected or

448
00:27:02,800 --> 00:27:08,000
Speaker 1: reelected there, these they also have significant minority populations, and

449
00:27:08,160 --> 00:27:11,000
Speaker 1: those are the communities that tend to experience much of

450
00:27:11,040 --> 00:27:14,440
Speaker 1: the crime firsthand. So they are truly the ones too

451
00:27:14,520 --> 00:27:17,760
Speaker 1: when they're voting, are the ones seeing like, man, this

452
00:27:17,880 --> 00:27:20,600
Speaker 1: kind of fucked up policy does not work. In fact,

453
00:27:20,640 --> 00:27:23,520
Speaker 1: it's so regressive it actually just feels like people are

454
00:27:23,560 --> 00:27:26,800
Speaker 1: just held in captivity for money, which they are. I

455
00:27:26,800 --> 00:27:29,600
Speaker 1: want to put this quote from law professor Laura bas Alone,

456
00:27:29,640 --> 00:27:33,040
Speaker 1: who's from the University of San Francisco, was on Democracy

457
00:27:33,080 --> 00:27:35,679
Speaker 1: Now this morning. She said, was sort of describing what

458
00:27:35,800 --> 00:27:39,360
Speaker 1: is happening. Is this quote this understanding said, I think

459
00:27:40,160 --> 00:27:42,520
Speaker 1: what all this tells you is that this experiment, this

460
00:27:42,600 --> 00:27:45,680
Speaker 1: experiment with criminal justice reformed this understanding that we can't

461
00:27:45,680 --> 00:27:48,840
Speaker 1: incarcerate our way to safety. That the kind of cruelty

462
00:27:48,920 --> 00:27:51,320
Speaker 1: that some of these punishments are exerting on people to

463
00:27:51,440 --> 00:27:54,159
Speaker 1: no good effect. And then the other additional problems like

464
00:27:54,200 --> 00:27:58,119
Speaker 1: wrongful conviction or just criminalizing poverty so that rich people

465
00:27:58,119 --> 00:28:00,720
Speaker 1: who are dangerous can buy their way out but poor

466
00:28:00,760 --> 00:28:04,000
Speaker 1: people have to stay inside. That there are a lot

467
00:28:04,080 --> 00:28:08,280
Speaker 1: of voters who realize that none of these policies are humane,

468
00:28:08,600 --> 00:28:13,119
Speaker 1: just or effective. Yeah. Well, and I think just also

469
00:28:13,960 --> 00:28:17,240
Speaker 1: like just let's turn a complete blind eye to all

470
00:28:17,440 --> 00:28:20,640
Speaker 1: the white color crime, like it is so focused so

471
00:28:20,720 --> 00:28:24,320
Speaker 1: specific on you know, basically a poor person, a poor

472
00:28:24,440 --> 00:28:27,879
Speaker 1: or a crazy person is going to shoot you. That's it, right,

473
00:28:28,480 --> 00:28:31,520
Speaker 1: rob you and shoot your assault you and shoot you

474
00:28:31,560 --> 00:28:33,840
Speaker 1: whatever that is, and that that's it, and and why

475
00:28:34,000 --> 00:28:35,760
Speaker 1: is that? You know, Well that gets a little muddy.

476
00:28:36,240 --> 00:28:39,320
Speaker 1: But all all of the white color crime, all of

477
00:28:39,360 --> 00:28:41,760
Speaker 1: that is just always sort of like no, no, that's

478
00:28:41,880 --> 00:28:45,560
Speaker 1: under control, which is because you could, yeah, like you could,

479
00:28:45,640 --> 00:28:48,640
Speaker 1: you could probably drop pretty interesting lines to like corporate

480
00:28:48,680 --> 00:28:52,560
Speaker 1: profit hearing and poverty to the people they're like, and

481
00:28:52,600 --> 00:28:56,440
Speaker 1: then those people are like, oh, I'm poor and violent.

482
00:28:56,920 --> 00:28:59,600
Speaker 1: I think the real violence is actually happening in the

483
00:28:59,640 --> 00:29:02,520
Speaker 1: cease weeks of a lot of these corporations. But I mean,

484
00:29:02,640 --> 00:29:06,080
Speaker 1: I was just in. I was in, took my son

485
00:29:06,360 --> 00:29:09,120
Speaker 1: because it was day off school to the mat and

486
00:29:09,240 --> 00:29:11,400
Speaker 1: just looking. You know, there's still some of the galleries

487
00:29:11,400 --> 00:29:13,560
Speaker 1: are the Sackler galleries, and we all know about the

488
00:29:13,560 --> 00:29:17,800
Speaker 1: Sacklers and their involvement in profiting so highly off of

489
00:29:18,240 --> 00:29:22,320
Speaker 1: oxycode and and selling opiates and marketing that, and you know,

490
00:29:22,400 --> 00:29:26,960
Speaker 1: I think there was there was definitely something talked about

491
00:29:27,280 --> 00:29:30,000
Speaker 1: were those people? Yeah, is why isn't that a story

492
00:29:30,000 --> 00:29:33,080
Speaker 1: every single day? You know? Of course I think, yeah,

493
00:29:33,080 --> 00:29:36,400
Speaker 1: when we have such like media consolidation with the billionaire class,

494
00:29:36,440 --> 00:29:38,440
Speaker 1: like they know, it's like, dude, that's the people, the

495
00:29:38,480 --> 00:29:40,640
Speaker 1: guys who owned this place, they might not want stories

496
00:29:40,680 --> 00:29:43,880
Speaker 1: like that coming out of exact talk about the poor people,

497
00:29:44,000 --> 00:29:48,440
Speaker 1: all right. They affectively marketed and created a problem that

498
00:29:48,560 --> 00:29:52,080
Speaker 1: is still killing hundreds of thousands of people, like killing

499
00:29:52,080 --> 00:29:55,239
Speaker 1: people every day in the local media. And instead the

500
00:29:55,280 --> 00:29:58,400
Speaker 1: local media is focused on like too much shoplifting and CBS.

501
00:29:58,960 --> 00:30:01,480
Speaker 1: Oh yeah, And I obviously I live in New York,

502
00:30:01,680 --> 00:30:04,080
Speaker 1: so that is a place that is the story of

503
00:30:04,120 --> 00:30:08,200
Speaker 1: crime always exists. And I know people who some of

504
00:30:08,200 --> 00:30:11,240
Speaker 1: my families in Canada, but even other places, they're always

505
00:30:11,280 --> 00:30:13,800
Speaker 1: like God, I got New York must be so scary

506
00:30:13,920 --> 00:30:18,960
Speaker 1: right now, and I'm like, it is that. That was

507
00:30:19,200 --> 00:30:21,320
Speaker 1: one of the social media responses. I saw the people

508
00:30:21,640 --> 00:30:24,360
Speaker 1: on you know, l A had a lot of progressive

509
00:30:24,400 --> 00:30:28,200
Speaker 1: candidates do very well and progressive ballot measures and the

510
00:30:28,280 --> 00:30:34,400
Speaker 1: existing sheriff get voted out, like definitively, and I saw

511
00:30:34,440 --> 00:30:36,160
Speaker 1: a lot of people being like, well, you must be

512
00:30:36,200 --> 00:30:38,920
Speaker 1: the only person from l A who hasn't been mugged

513
00:30:39,000 --> 00:30:41,600
Speaker 1: or robbed this year. And I've been here my whole

514
00:30:41,640 --> 00:30:45,280
Speaker 1: life family. Yeah, never, it's we're we're good here. You're

515
00:30:45,360 --> 00:30:51,520
Speaker 1: just seeing Fox News is of Los Angeles. It's it's

516
00:30:51,560 --> 00:30:54,760
Speaker 1: wild how much Fox News focuses on like very specific

517
00:30:54,800 --> 00:30:57,200
Speaker 1: cities and like getting a narrative going what has to

518
00:30:57,360 --> 00:31:00,200
Speaker 1: because it's saying, look what happens in the city ease

519
00:31:00,240 --> 00:31:02,960
Speaker 1: where these libs live. They think they know it all

520
00:31:02,960 --> 00:31:05,880
Speaker 1: and there's ship on the ground, like that's really what

521
00:31:05,920 --> 00:31:08,040
Speaker 1: they're all trying. And it's so bad. And it's funny

522
00:31:08,040 --> 00:31:11,160
Speaker 1: because there are so many like boomer tweets where people

523
00:31:11,160 --> 00:31:13,480
Speaker 1: are like, oh, like you see like a post about

524
00:31:13,560 --> 00:31:15,600
Speaker 1: crime in like New York and they're like, I've always

525
00:31:15,600 --> 00:31:17,680
Speaker 1: wanted to go back to New York City, you know,

526
00:31:17,840 --> 00:31:20,600
Speaker 1: but I guess that's never gonna happen with the way

527
00:31:20,640 --> 00:31:22,920
Speaker 1: things look. I just, I just I care too much

528
00:31:22,960 --> 00:31:25,680
Speaker 1: about my safety. I'm like, you y'all are really eating

529
00:31:25,680 --> 00:31:27,720
Speaker 1: this ship up. Yeah. Yeah, and you know, for those

530
00:31:27,720 --> 00:31:29,640
Speaker 1: of us who live here, we're like, good, keep up,

531
00:31:29,720 --> 00:31:32,360
Speaker 1: keep that pr going out because we need less people.

532
00:31:32,600 --> 00:31:35,120
Speaker 1: Yeah exactly. Yeah, you want you, yeah, you want something

533
00:31:35,120 --> 00:31:36,560
Speaker 1: like out of town and be like maybe I'll go

534
00:31:36,600 --> 00:31:38,480
Speaker 1: to Brooklyn and you want their first I want to

535
00:31:38,520 --> 00:31:43,520
Speaker 1: be like, no, I mean, I remember before the pandemic.

536
00:31:43,880 --> 00:31:45,520
Speaker 1: You know, I've lived your twenty years, and just before

537
00:31:45,520 --> 00:31:49,000
Speaker 1: the pandemic, sitting on a subway and just watching you

538
00:31:49,040 --> 00:31:52,640
Speaker 1: know what, I'm just gonna call very entitled tourists who

539
00:31:52,920 --> 00:31:55,120
Speaker 1: you know, they were a little too casual with their

540
00:31:55,160 --> 00:31:58,040
Speaker 1: New York experience on the subway, and I just want

541
00:31:58,080 --> 00:32:00,240
Speaker 1: to just like, I don't want anyone to be but

542
00:32:00,240 --> 00:32:02,640
Speaker 1: I was like, shouldn't you be just a little more afraid,

543
00:32:03,080 --> 00:32:05,640
Speaker 1: like you don't know in this place you're visiting. Okay,

544
00:32:05,720 --> 00:32:11,040
Speaker 1: you're visiting seriously, but so the New York Times I

545
00:32:11,040 --> 00:32:15,120
Speaker 1: want to specifically call out for their lack of coverage

546
00:32:15,240 --> 00:32:18,440
Speaker 1: and not not just lack of coverage of like this

547
00:32:18,560 --> 00:32:22,920
Speaker 1: progressive movement and grassroots movement that we're seeing like come

548
00:32:23,000 --> 00:32:26,120
Speaker 1: through and start to show real promise in some of

549
00:32:26,120 --> 00:32:29,680
Speaker 1: these local elections. And you know, in the big what

550
00:32:29,800 --> 00:32:33,240
Speaker 1: was supposed to be like the focus of the election

551
00:32:33,360 --> 00:32:38,000
Speaker 1: night with with Fetterman defeating Oz, but like there, I

552
00:32:38,000 --> 00:32:40,560
Speaker 1: don't I don't feel like they've really figured out how

553
00:32:40,600 --> 00:32:44,200
Speaker 1: to spin that. And to that point, The New York

554
00:32:44,200 --> 00:32:48,480
Speaker 1: Times the day after the election published a piece in

555
00:32:48,520 --> 00:32:51,840
Speaker 1: the opinion section, but it was very much couched in,

556
00:32:51,960 --> 00:32:54,400
Speaker 1: like here statistics and here are the facts, and we

557
00:32:54,480 --> 00:32:58,320
Speaker 1: talked to posters and a Harvard sociologist. The article is

558
00:32:58,360 --> 00:33:02,680
Speaker 1: titled for Republicans, crime pays, no matter what else happens,

559
00:33:03,280 --> 00:33:08,480
Speaker 1: and the entire premise of the article is that the

560
00:33:08,560 --> 00:33:13,160
Speaker 1: Republicans really doubled down on crime in this election. I'm

561
00:33:13,200 --> 00:33:16,640
Speaker 1: just gonna read a quote like they quote a Democratic

562
00:33:16,680 --> 00:33:20,560
Speaker 1: polster is reinforcing this point that like it's a winning

563
00:33:20,840 --> 00:33:24,360
Speaker 1: it's a winner for Republicans and a loser for Democrats.

564
00:33:24,440 --> 00:33:27,200
Speaker 1: And this is a quote from a poster. The mid

565
00:33:27,280 --> 00:33:30,239
Speaker 1: terms will be remembered as a toxic campaign, but an

566
00:33:30,280 --> 00:33:34,680
Speaker 1: effective one in labeling Democrats as pro crime. Greenberg wrote

567
00:33:34,720 --> 00:33:40,200
Speaker 1: in how Democrats Mishandled Crime, a November three American Prospect article,

568
00:33:41,000 --> 00:33:43,720
Speaker 1: when voters in our survey were asked what they feared

569
00:33:43,720 --> 00:33:46,200
Speaker 1: the most if Democrats win full control, and then like

570
00:33:46,240 --> 00:33:49,719
Speaker 1: just chose crime and homelessness out of control. You know,

571
00:33:49,800 --> 00:33:53,440
Speaker 1: all all of the talking points that go along with this,

572
00:33:53,920 --> 00:33:58,280
Speaker 1: But the article just I think they they wrote it

573
00:33:58,320 --> 00:34:02,360
Speaker 1: before the election result and just removed a couple of

574
00:34:02,400 --> 00:34:06,840
Speaker 1: the more strongly worded parts because they even mentioned Pennsylvania.

575
00:34:07,040 --> 00:34:10,280
Speaker 1: The Republican focus on crime is reflected in spending data

576
00:34:10,320 --> 00:34:13,320
Speaker 1: on November three and the reason Republican attacks on crimer

577
00:34:13,400 --> 00:34:17,080
Speaker 1: so potent, Lee Jao, a reporter at Fox, Republicans have

578
00:34:17,120 --> 00:34:20,600
Speaker 1: spent a hundred and fifty seven million on crime related ads,

579
00:34:20,640 --> 00:34:23,719
Speaker 1: and the breakdown is even starker in the Pennsylvania Senate race,

580
00:34:23,760 --> 00:34:26,920
Speaker 1: where Republicans have spent nearly twelve million on crime ads

581
00:34:26,920 --> 00:34:29,760
Speaker 1: compared to two point five million on the economy and inflation.

582
00:34:30,320 --> 00:34:33,200
Speaker 1: And they don't go on to mention that that was

583
00:34:33,400 --> 00:34:37,640
Speaker 1: a loser, that was a losing strategy, and it just

584
00:34:38,160 --> 00:34:40,319
Speaker 1: it goes down like they go they go down to

585
00:34:40,480 --> 00:34:43,880
Speaker 1: interview like Paul the gala and be he's like it

586
00:34:43,920 --> 00:34:46,479
Speaker 1: worked for Clinton. They just need to be really tough

587
00:34:46,520 --> 00:34:50,000
Speaker 1: on crime and double down on policing and the death

588
00:34:50,040 --> 00:34:55,000
Speaker 1: penalty and just all these like old school like nineties

589
00:34:55,080 --> 00:34:59,600
Speaker 1: political to work after the riots, Like you know what,

590
00:34:59,600 --> 00:35:01,840
Speaker 1: I mean, what the what then are we talking? Yeah?

591
00:35:02,040 --> 00:35:05,479
Speaker 1: Then maybe when people were ignorant, is ship like it's

592
00:35:05,480 --> 00:35:09,160
Speaker 1: so weird. I'm wondering when the new like when all

593
00:35:09,320 --> 00:35:11,360
Speaker 1: corporate media, like, I mean, they're never going to be

594
00:35:11,480 --> 00:35:14,440
Speaker 1: like they've really shown they are so out of touch.

595
00:35:14,680 --> 00:35:17,680
Speaker 1: Nothing they said is just is in touch with anything.

596
00:35:17,800 --> 00:35:20,400
Speaker 1: The amount of red wave coming, red wave come in

597
00:35:20,520 --> 00:35:23,759
Speaker 1: coverage on the New York Times like this was this

598
00:35:23,800 --> 00:35:27,239
Speaker 1: was an article from what October nine Democrats feared Red

599
00:35:27,280 --> 00:35:29,840
Speaker 1: October has arrived. Many Democrats hoped it would be a

600
00:35:29,880 --> 00:35:32,600
Speaker 1: weird election. But with election day just three weeks away,

601
00:35:32,760 --> 00:35:37,080
Speaker 1: the make terms aren't shaping up that way. And but

602
00:35:37,160 --> 00:35:40,480
Speaker 1: let's pretend that motivated people. Let's just pretend that it

603
00:35:40,560 --> 00:35:43,520
Speaker 1: was there was some potential. And let's just pretend you know,

604
00:35:43,600 --> 00:35:46,160
Speaker 1: even in New York, where if you were a Democrat,

605
00:35:46,239 --> 00:35:48,080
Speaker 1: people are always like, oh, your vote, and you know,

606
00:35:48,120 --> 00:35:50,920
Speaker 1: it counts, but it doesn't really count. You know. I

607
00:35:50,960 --> 00:35:54,040
Speaker 1: was at a show with a bunch of people that

608
00:35:54,080 --> 00:35:56,640
Speaker 1: work in politics and they were like, you, every vote

609
00:35:56,680 --> 00:36:01,920
Speaker 1: is going to count tomorrow, Okay, yeah yeah. And I'm

610
00:36:01,960 --> 00:36:04,600
Speaker 1: a new devoting so I just became an American citizen recently,

611
00:36:04,800 --> 00:36:07,239
Speaker 1: but I was definitely gonna do it. Thanks. But I

612
00:36:07,719 --> 00:36:10,160
Speaker 1: do feel I haven't seen the note the numbers on

613
00:36:10,200 --> 00:36:13,200
Speaker 1: the turnout, but I felt like it was really good.

614
00:36:13,960 --> 00:36:18,160
Speaker 1: So I don't like that we are driven by fear. Yeah,

615
00:36:18,200 --> 00:36:20,359
Speaker 1: I mean New York was a little different. It wasn't

616
00:36:20,440 --> 00:36:22,920
Speaker 1: great for Democrats, which a lot of people were surprised

617
00:36:22,960 --> 00:36:26,600
Speaker 1: because the party ended up fighting a bunch of like

618
00:36:26,840 --> 00:36:30,200
Speaker 1: left like candidates on the left, like spent more energy

619
00:36:30,360 --> 00:36:34,239
Speaker 1: fighting candidates on the left than like attacking like this

620
00:36:34,360 --> 00:36:38,360
Speaker 1: crime like Lee's Eldon's crime Wave insistence, which motivated a

621
00:36:38,400 --> 00:36:42,000
Speaker 1: lot of Republicans to come out like in an interesting way,

622
00:36:42,000 --> 00:36:44,240
Speaker 1: because I think that's where New York is a little different,

623
00:36:44,280 --> 00:36:48,319
Speaker 1: because it is so blue. Every Republicans like exactly get

624
00:36:48,320 --> 00:36:51,200
Speaker 1: them all out, like they fully turned up. While I

625
00:36:51,320 --> 00:36:53,040
Speaker 1: was like, it's fine, I don't know, New York is

626
00:36:53,040 --> 00:36:55,480
Speaker 1: not that blue. By the way, New York is, first

627
00:36:55,520 --> 00:36:59,279
Speaker 1: of all, historically like there they've been like they were

628
00:36:59,320 --> 00:37:02,680
Speaker 1: pro slabor at the beginning of like they when it

629
00:37:02,760 --> 00:37:06,120
Speaker 1: was you know, the duchy East Indie colony founding it,

630
00:37:06,120 --> 00:37:09,720
Speaker 1: and like that kind of reverberated down through the politics.

631
00:37:09,760 --> 00:37:13,520
Speaker 1: There's a lot of Republican mayors and ship there's a

632
00:37:13,880 --> 00:37:18,080
Speaker 1: former chief of police mayor, like New York City has

633
00:37:18,120 --> 00:37:21,319
Speaker 1: like very you're you're right, it's like very specific and

634
00:37:21,600 --> 00:37:25,240
Speaker 1: unexpected politics that don't really fit into the overall narrative.

635
00:37:25,320 --> 00:37:26,680
Speaker 1: I mean more in the sense of like for the

636
00:37:26,719 --> 00:37:30,480
Speaker 1: Republican voter, they can look at a Democrat governor, senator,

637
00:37:30,520 --> 00:37:33,719
Speaker 1: other leaders in that sense to say the leadership is

638
00:37:33,760 --> 00:37:36,799
Speaker 1: blue and that is a motivating force for people to

639
00:37:36,800 --> 00:37:39,480
Speaker 1: come out. But I'm wondering, like, you know, so there

640
00:37:39,480 --> 00:37:41,279
Speaker 1: have been so many bad takes and shout out to

641
00:37:41,280 --> 00:37:43,759
Speaker 1: the people on Twitter that I've just been collecting everyone's

642
00:37:43,920 --> 00:37:47,680
Speaker 1: terrible bad faith arguments prior to the election, because we

643
00:37:47,760 --> 00:37:51,480
Speaker 1: really should be like what's your strategy for like having

644
00:37:51,640 --> 00:37:53,600
Speaker 1: better like a better way to engage with like the

645
00:37:53,680 --> 00:37:56,120
Speaker 1: stories that are happening, rather than seeing like what the

646
00:37:56,200 --> 00:37:58,440
Speaker 1: herd is doing them, Like, well, here's my take on

647
00:37:58,480 --> 00:38:02,719
Speaker 1: the herd mentality just all editorial, just all editorial. Yeah,

648
00:38:03,200 --> 00:38:05,879
Speaker 1: it's all covering it like it's a sporting event and

649
00:38:06,160 --> 00:38:09,000
Speaker 1: when when Like so, this article doesn't explicitly do this,

650
00:38:09,080 --> 00:38:11,839
Speaker 1: but it does essentially do this, which I think is

651
00:38:12,080 --> 00:38:16,160
Speaker 1: sort of the mainstream Democrat and mainstream media apparatus sort

652
00:38:16,160 --> 00:38:19,400
Speaker 1: of I don't know conception of how Democrats can possibly

653
00:38:19,480 --> 00:38:24,200
Speaker 1: conceive of crime. They can either double down on like

654
00:38:24,200 --> 00:38:26,440
Speaker 1: like basically be a Republican about it and be like

655
00:38:26,800 --> 00:38:29,120
Speaker 1: we need to fund like extra fund the police and

656
00:38:29,160 --> 00:38:32,680
Speaker 1: support the death penalty like Clinton did. We can ignore

657
00:38:32,960 --> 00:38:36,400
Speaker 1: that crime is a problem, or just say defund the

658
00:38:36,400 --> 00:38:40,120
Speaker 1: police and offer no further context. Like those are the

659
00:38:40,120 --> 00:38:43,520
Speaker 1: three options that they're dealing with in this article, and

660
00:38:43,920 --> 00:38:48,960
Speaker 1: it's just like a Tucker carlson Ian bad faith argument

661
00:38:49,200 --> 00:38:52,799
Speaker 1: of like how how to even approach this? And so

662
00:38:52,880 --> 00:38:56,880
Speaker 1: they published this article after this overall strategy was shown

663
00:38:56,920 --> 00:38:59,680
Speaker 1: to backfire in a lot of like really significant ways

664
00:38:59,680 --> 00:39:05,000
Speaker 1: for the publican party, and they completely ignore anywhere where

665
00:39:05,040 --> 00:39:09,440
Speaker 1: there is like this alternative messaging that came through and

666
00:39:09,480 --> 00:39:12,440
Speaker 1: worked like at a local level that you know, we

667
00:39:12,520 --> 00:39:17,799
Speaker 1: talked on yesterday's episode about Kenneth Mahia, who ran a

668
00:39:17,880 --> 00:39:21,600
Speaker 1: campaign that was he's like thirty one, just really focused.

669
00:39:22,080 --> 00:39:25,319
Speaker 1: He he was a defund the police candidate and that

670
00:39:25,400 --> 00:39:31,319
Speaker 1: was like his most explicit position, and he outperformed both

671
00:39:31,440 --> 00:39:35,759
Speaker 1: mayoral candidates, both the like very mainstream Democratic candidate and

672
00:39:35,800 --> 00:39:39,960
Speaker 1: also the you know, fake Democrat Republican Rick Cruso. He

673
00:39:40,200 --> 00:39:45,080
Speaker 1: vastly outperformed them by just giving specifics, by just being like,

674
00:39:45,400 --> 00:39:48,520
Speaker 1: here's like when when you say defund the police, look

675
00:39:48,520 --> 00:39:52,920
Speaker 1: how much they are funded compared to everything else. And like,

676
00:39:53,000 --> 00:39:57,640
Speaker 1: so all you needed to do was speak honestly and

677
00:39:57,719 --> 00:40:02,000
Speaker 1: respect people's intelligence on the sub jack instead of like

678
00:40:02,080 --> 00:40:06,160
Speaker 1: this whole Paul Begala James Carville thing where it's all

679
00:40:06,280 --> 00:40:08,759
Speaker 1: this like smoking mirrors and we have to message it

680
00:40:08,840 --> 00:40:12,080
Speaker 1: this way and people don't understand. You can't get them

681
00:40:12,080 --> 00:40:15,760
Speaker 1: in touch with their safety unless you do a real horrible, violent,

682
00:40:15,800 --> 00:40:18,880
Speaker 1: active front of them and in front of the police.

683
00:40:18,960 --> 00:40:21,200
Speaker 1: Dumbest thing I heard since my mama tried to put

684
00:40:21,200 --> 00:40:24,640
Speaker 1: a boot on my head and call it about what

685
00:40:24,680 --> 00:40:27,640
Speaker 1: the are you talking about? I think it all you're

686
00:40:27,680 --> 00:40:29,520
Speaker 1: what you have to say, They're all broke down when

687
00:40:29,560 --> 00:40:33,719
Speaker 1: you said and respect their other person's intelligence. That is ridiculous.

688
00:40:33,760 --> 00:40:40,000
Speaker 1: We do not do that. Okay, can do that, that's work. Like, so,

689
00:40:40,120 --> 00:40:43,760
Speaker 1: I I do think this goes like each generation gets

690
00:40:43,760 --> 00:40:47,279
Speaker 1: a little bit savvier at dealing with the media than

691
00:40:47,320 --> 00:40:50,800
Speaker 1: the previous generation. But the media is run by older

692
00:40:50,840 --> 00:40:55,480
Speaker 1: generations and they are working with assumptions that like people

693
00:40:56,120 --> 00:40:58,840
Speaker 1: are different than they actually are. And that's what Like

694
00:40:58,920 --> 00:41:01,359
Speaker 1: we saw gen Z actually come out and vote and

695
00:41:01,360 --> 00:41:05,360
Speaker 1: they didn't vote the way that anybody in the mainstream

696
00:41:05,360 --> 00:41:08,040
Speaker 1: media expected them too. And it's like, yeah, they voted

697
00:41:08,080 --> 00:41:11,480
Speaker 1: in a way that seems like they're just getting at

698
00:41:11,480 --> 00:41:16,680
Speaker 1: the problem right, aligned with their values and based on

699
00:41:16,800 --> 00:41:19,440
Speaker 1: policies and based on you know, all the stuff that

700
00:41:19,480 --> 00:41:22,239
Speaker 1: we're trying to actually talk about in a real way

701
00:41:22,280 --> 00:41:25,560
Speaker 1: instead of yeah, is all the smoke and mirrors and

702
00:41:25,600 --> 00:41:28,719
Speaker 1: the this is gonna happen. Just wait, you're gonna wake

703
00:41:28,840 --> 00:41:30,920
Speaker 1: up and all your rights are gonna be stripped away

704
00:41:30,960 --> 00:41:33,319
Speaker 1: and then what are you gonna do? Yeah, And it's

705
00:41:33,800 --> 00:41:36,280
Speaker 1: I keep comparing it to like that m Night Shamalan

706
00:41:36,440 --> 00:41:40,359
Speaker 1: movie The Village, where they really think you just keep

707
00:41:40,360 --> 00:41:42,680
Speaker 1: telling everybody the same ship over. You don't want to

708
00:41:42,680 --> 00:41:44,640
Speaker 1: go out there, you don't want to see what's out there.

709
00:41:44,680 --> 00:41:47,120
Speaker 1: But guess what, most people are living out there. You

710
00:41:47,160 --> 00:41:51,120
Speaker 1: don't actually live, so your village asked messaging doesn't resonate

711
00:41:51,160 --> 00:41:54,080
Speaker 1: to somebody village lives who lives in the area. Or

712
00:41:54,080 --> 00:41:56,799
Speaker 1: they're like, yeah, that's the motherfucking airplane. Yeah you didn't

713
00:41:56,800 --> 00:41:59,320
Speaker 1: hear about it that in the village. Well that's on y'all.

714
00:41:59,800 --> 00:42:02,840
Speaker 1: And this whole election, I feel like it was really defined,

715
00:42:02,920 --> 00:42:05,400
Speaker 1: at least to me, is what I'm seeing, like broadly

716
00:42:05,800 --> 00:42:09,520
Speaker 1: by just people beginning to feel the disconnect between policies

717
00:42:09,560 --> 00:42:12,040
Speaker 1: that uphold the status quo and what their actual day

718
00:42:12,080 --> 00:42:14,520
Speaker 1: to day lives are like, and from they're using their

719
00:42:14,520 --> 00:42:17,719
Speaker 1: own intelligence to be like I see somebody who's destitute,

720
00:42:17,800 --> 00:42:19,239
Speaker 1: or I look at my own situation where I can

721
00:42:19,280 --> 00:42:21,959
Speaker 1: barely afford housing, and I don't think the plan should

722
00:42:22,000 --> 00:42:24,120
Speaker 1: be Yo, get kicked these people out to the Mojave

723
00:42:24,320 --> 00:42:27,439
Speaker 1: desert where they can just expire in the sun. It's

724
00:42:27,560 --> 00:42:31,279
Speaker 1: I think we need more affordable housing, right, you know,

725
00:42:31,360 --> 00:42:34,160
Speaker 1: they're like the funk is going on? These woke people

726
00:42:34,600 --> 00:42:39,920
Speaker 1: know what about tax cuts for luxury planes? I do?

727
00:42:40,080 --> 00:42:42,959
Speaker 1: I do have to call out this Harvard sociologist though

728
00:42:43,239 --> 00:42:46,719
Speaker 1: for they they made this claim, so they were like,

729
00:42:47,239 --> 00:42:51,080
Speaker 1: democrats want to claim that crime isn't a problem, but

730
00:42:51,160 --> 00:42:54,160
Speaker 1: that ignores that crime is a problem in you know,

731
00:42:54,320 --> 00:42:58,440
Speaker 1: black neighborhoods and poor neighborhoods. So you know, not funding

732
00:42:58,480 --> 00:43:03,120
Speaker 1: the police is racist, is essentially the argument that they make.

733
00:43:03,680 --> 00:43:06,680
Speaker 1: And it's like, like, to your point, Miles, we saw

734
00:43:06,880 --> 00:43:10,319
Speaker 1: that people who live in neighborhoods that are affected by

735
00:43:10,680 --> 00:43:14,040
Speaker 1: higher crime are not buying into this bullshit and narrative

736
00:43:14,320 --> 00:43:18,000
Speaker 1: that like the way to attack this is by fucking

737
00:43:18,040 --> 00:43:21,960
Speaker 1: funding a police force that acts like an occupying army.

738
00:43:22,080 --> 00:43:25,080
Speaker 1: Like they know that this is bullshit and getting Paul

739
00:43:25,120 --> 00:43:28,720
Speaker 1: Begala and a Harvard sociologist to tell them otherwise, isn't

740
00:43:28,880 --> 00:43:33,319
Speaker 1: isn't tricking anyone? Yeah, well yeah, give them all don't

741
00:43:33,320 --> 00:43:35,279
Speaker 1: remember That's how we saw Thanks good mall guns. Why

742
00:43:35,280 --> 00:43:37,520
Speaker 1: does the name one have a gun? Yeah? Exactly. And

743
00:43:37,520 --> 00:43:39,400
Speaker 1: then even then a lot of people are like, no,

744
00:43:39,600 --> 00:43:43,759
Speaker 1: I don't, I don't even think that what they also, yeah,

745
00:43:43,760 --> 00:43:46,280
Speaker 1: they quote that so because this is a crime article,

746
00:43:46,360 --> 00:43:48,799
Speaker 1: they had to like quote the crime statistics, which are

747
00:43:49,040 --> 00:43:53,600
Speaker 1: very like complicated and they point in different directions and

748
00:43:53,680 --> 00:43:56,600
Speaker 1: different parts of the country, and they were like, but

749
00:43:56,680 --> 00:44:00,160
Speaker 1: the one thing we're seeing is more gun violence and

750
00:44:00,440 --> 00:44:03,399
Speaker 1: more murders. But they don't mention like, because there are

751
00:44:03,400 --> 00:44:06,200
Speaker 1: way more guns, and anytime there's more access to guns,

752
00:44:06,320 --> 00:44:10,480
Speaker 1: that's what happens in in this country, because again, that's

753
00:44:10,520 --> 00:44:14,000
Speaker 1: just seen as a I guess, childish argument because it

754
00:44:14,040 --> 00:44:17,719
Speaker 1: doesn't take into account the reality that like, well, you know,

755
00:44:17,760 --> 00:44:20,720
Speaker 1: gun manufacturers own all of us, so we can't actually

756
00:44:21,120 --> 00:44:23,520
Speaker 1: say that, were you a child, Go the funk out

757
00:44:23,520 --> 00:44:28,399
Speaker 1: of here, right exactly, Quiet daddy's listening, right exactly. Gotta

758
00:44:28,440 --> 00:44:31,640
Speaker 1: be with Wayne Lapierre continuing to search Kenneth Mahia on

759
00:44:31,880 --> 00:44:34,160
Speaker 1: the New York Times just to see, like what when

760
00:44:34,200 --> 00:44:36,640
Speaker 1: will they mention this race that is like a great

761
00:44:36,680 --> 00:44:41,480
Speaker 1: blueprint for how the Democratic Party should move, like all

762
00:44:41,520 --> 00:44:45,719
Speaker 1: at once yesterday, and the only mentioned so far is

763
00:44:45,760 --> 00:44:49,880
Speaker 1: a Halloween article about how like when Democrats go against

764
00:44:49,920 --> 00:44:53,920
Speaker 1: each other it gets nasty folks, And they quote his

765
00:44:54,040 --> 00:44:59,040
Speaker 1: opponent claiming that he is a anarchist and an anti

766
00:44:59,160 --> 00:45:03,600
Speaker 1: semit They put that in there, and he's not, and

767
00:45:03,719 --> 00:45:07,960
Speaker 1: it's like absolute But that's that's the only thing that

768
00:45:08,000 --> 00:45:14,040
Speaker 1: they've mentioned about this candidate who just you know, used yeah,

769
00:45:15,040 --> 00:45:16,960
Speaker 1: I mean that's what I mean, that's that's the smear.

770
00:45:17,040 --> 00:45:21,160
Speaker 1: For people who believe that less physical police presence and

771
00:45:21,200 --> 00:45:25,120
Speaker 1: like more support for communities is the answer, is they read, go, yeah,

772
00:45:25,360 --> 00:45:28,879
Speaker 1: you anarchy, right, yeah, right exactly as society you want

773
00:45:28,920 --> 00:45:33,279
Speaker 1: just nothing right right, And as a Jew, I will say,

774
00:45:33,760 --> 00:45:36,040
Speaker 1: you know, most people are anti Semite, so you just

775
00:45:36,080 --> 00:45:37,840
Speaker 1: sort of like you just that's like a penny, you

776
00:45:37,880 --> 00:45:45,480
Speaker 1: just get rid of that. Alright, let's take a quick break.

777
00:45:45,560 --> 00:45:48,480
Speaker 1: We'll come back, we'll talk holiday movies. We'll be right back,

778
00:45:57,400 --> 00:46:00,880
Speaker 1: and we're back, and what kind of forever? Drops in

779
00:46:01,040 --> 00:46:04,640
Speaker 1: two days as of with the day of the episode

780
00:46:04,719 --> 00:46:08,640
Speaker 1: drops its Wednesday drops on Friday. Reviews are in the

781
00:46:08,800 --> 00:46:14,120
Speaker 1: look there between like solid and glowing. Super producer Joel

782
00:46:14,600 --> 00:46:16,399
Speaker 1: I think saw it, and I'm not allowed to say

783
00:46:16,600 --> 00:46:20,239
Speaker 1: what she said, but suffices to say it looks very good.

784
00:46:20,880 --> 00:46:26,840
Speaker 1: Things are looking very good looking for this movie, pretty good.

785
00:46:27,000 --> 00:46:30,200
Speaker 1: Early estimates suggests that everyone in America is going to

786
00:46:30,200 --> 00:46:34,080
Speaker 1: see it at least twice this weekend. M The dollar

787
00:46:34,200 --> 00:46:38,239
Speaker 1: figures are wild. They're like, yeah, we're seeing like two

788
00:46:38,719 --> 00:46:42,239
Speaker 1: fifty million in like one weekend. It's crazy. Anyways, a

789
00:46:42,239 --> 00:46:44,239
Speaker 1: lot of people are gonna see this movie. I'm going

790
00:46:44,320 --> 00:46:46,080
Speaker 1: to see this movie. I don't know if I'm gonna

791
00:46:46,080 --> 00:46:49,000
Speaker 1: see it this weekend, but I'm going to see it asap.

792
00:46:49,480 --> 00:46:55,799
Speaker 1: And it raises the question. There's recently a Cinemark map,

793
00:46:56,040 --> 00:46:59,680
Speaker 1: So Cinemark the theater chain created one of those maps

794
00:46:59,719 --> 00:47:05,560
Speaker 1: where like, this is everybody's favorite movie theater candy by state,

795
00:47:06,200 --> 00:47:09,680
Speaker 1: and it is one of those maps that actually seems

796
00:47:09,719 --> 00:47:12,880
Speaker 1: to be based in fact. You can tell because the

797
00:47:13,239 --> 00:47:17,040
Speaker 1: results are pretty boring in some cases, like there a

798
00:47:17,080 --> 00:47:18,880
Speaker 1: big chunk of the country is just like, yeah, we

799
00:47:18,960 --> 00:47:22,920
Speaker 1: like eminem peanuts, just just like you would expect because

800
00:47:23,040 --> 00:47:26,160
Speaker 1: eminem peanuts are good. Somebody writing about it was like,

801
00:47:26,520 --> 00:47:29,239
Speaker 1: is it do they like eminem peanuts because they come

802
00:47:29,280 --> 00:47:32,680
Speaker 1: in yellow rappers and that's the easier, easiest snack to

803
00:47:32,680 --> 00:47:35,600
Speaker 1: see in the dark. It's like, no, have you ever

804
00:47:35,680 --> 00:47:38,720
Speaker 1: eaten in a movie theater? It's about no, look eating

805
00:47:38,840 --> 00:47:41,120
Speaker 1: the whole time. You're like one of my bag of

806
00:47:41,160 --> 00:47:43,799
Speaker 1: whatever by my lap and just keep shuffling that into

807
00:47:43,840 --> 00:47:46,960
Speaker 1: your mouth. Who is putting that thought into it is

808
00:47:47,000 --> 00:47:49,360
Speaker 1: being like which of these is going to be easiest?

809
00:47:49,440 --> 00:47:52,680
Speaker 1: For me to see in the dark. Right, first off,

810
00:47:52,800 --> 00:47:57,080
Speaker 1: I want to ask what is everybody's favorite movie candy,

811
00:47:57,280 --> 00:48:00,640
Speaker 1: just so we can establish some kind of baseline here. Yeah,

812
00:48:01,000 --> 00:48:07,640
Speaker 1: mine isn't even on here. It's the raisin uts. Thank you,

813
00:48:07,880 --> 00:48:11,480
Speaker 1: thank you very much, thank you. I mean, have you

814
00:48:11,480 --> 00:48:16,239
Speaker 1: guys ever taken some lightly buttered popcorn? Just slightly, you know,

815
00:48:16,360 --> 00:48:19,359
Speaker 1: just a dap. You take your raisinnuts, you sprinkle them

816
00:48:19,400 --> 00:48:21,640
Speaker 1: on top of that popcorn. You sit in the dark,

817
00:48:21,920 --> 00:48:26,400
Speaker 1: and handful is like a bite of a burst of

818
00:48:26,440 --> 00:48:30,920
Speaker 1: surprise and joy. I just I've also had major stomach

819
00:48:30,960 --> 00:48:35,800
Speaker 1: pains and vomiting after it's do not sit well in

820
00:48:35,880 --> 00:48:39,400
Speaker 1: my stomach. But when oh, they're so fun going down

821
00:48:40,000 --> 00:48:46,000
Speaker 1: and tastes like I don't like their taste at all controversial.

822
00:48:46,239 --> 00:48:48,919
Speaker 1: Mainly I have not gone to the movies yet. I mean,

823
00:48:49,280 --> 00:48:51,480
Speaker 1: you should come here. You could just drive up and

824
00:48:51,520 --> 00:48:54,439
Speaker 1: we should go see um Wakanda together. We can see

825
00:48:54,440 --> 00:48:57,399
Speaker 1: it three times. We're going I'm going purposefully to the

826
00:48:57,440 --> 00:49:02,760
Speaker 1: blackest theater in Oakland at Grand Lake. Grand Lake Theater.

827
00:49:03,440 --> 00:49:07,080
Speaker 1: That's where we're going to go see it. And mine

828
00:49:07,200 --> 00:49:17,479
Speaker 1: is whoppers here chocolate, they're balls. Thank you very much. Yes,

829
00:49:18,520 --> 00:49:22,160
Speaker 1: although they crunch and that's not ideal for a movie situation.

830
00:49:22,560 --> 00:49:27,920
Speaker 1: I realized that still it's love whoppers. Mine's also not

831
00:49:27,960 --> 00:49:31,680
Speaker 1: on here. But Miles, you do yours first. But what's

832
00:49:31,719 --> 00:49:36,359
Speaker 1: going on? You're really nonrepresentative. I'm telling you. It's like

833
00:49:36,400 --> 00:49:38,919
Speaker 1: the elections. Thank you very we're out here. Just look,

834
00:49:39,040 --> 00:49:41,680
Speaker 1: we contain Malta. This is America, you know, don't just

835
00:49:41,800 --> 00:49:44,799
Speaker 1: reduce us to one logo on the state. I would

836
00:49:44,840 --> 00:49:49,560
Speaker 1: eat like nerds ropes if they have them, Yeah, fantastic,

837
00:49:49,960 --> 00:49:53,600
Speaker 1: or like Twizzler. I think I had some recently that

838
00:49:53,680 --> 00:49:55,839
Speaker 1: you could like split apart. Though no, it's like our

839
00:49:55,880 --> 00:49:57,520
Speaker 1: think it's like a sweet and oh you know what,

840
00:49:57,560 --> 00:50:00,759
Speaker 1: it could be sweet and tart ropes. Sweeteart ropes are

841
00:50:01,280 --> 00:50:06,680
Speaker 1: the number one Aska theater in Alaska. Now that's next

842
00:50:06,719 --> 00:50:12,400
Speaker 1: to eating Dungeoness crab in the theater. But yeah, I

843
00:50:12,440 --> 00:50:15,800
Speaker 1: like I like the fruity, kind of like sour candies.

844
00:50:16,200 --> 00:50:19,680
Speaker 1: Like I'll go crazy if I'm like on four twenty

845
00:50:19,680 --> 00:50:21,960
Speaker 1: when I went a couple of years ago, I got popcorn.

846
00:50:22,040 --> 00:50:23,680
Speaker 1: I get a little bit bit of a cup of

847
00:50:23,760 --> 00:50:27,000
Speaker 1: nacho cheese to dip my popcorn in. Wow, okay, because

848
00:50:27,040 --> 00:50:31,600
Speaker 1: I'm a savage. Then I get the like the candy

849
00:50:31,719 --> 00:50:33,880
Speaker 1: ropes or whatever, and then I got to have some

850
00:50:33,920 --> 00:50:36,279
Speaker 1: kind of peanut butter situation. It could be recent, it

851
00:50:36,320 --> 00:50:40,440
Speaker 1: could be peanut Eminem's. Can I just say Red Vines

852
00:50:40,560 --> 00:50:45,839
Speaker 1: headquarters is five minutes away from me? Okay, So let's

853
00:50:45,840 --> 00:50:48,319
Speaker 1: say I realized that we never we just started in

854
00:50:48,560 --> 00:50:51,440
Speaker 1: talking about our favorite, but we should say so at

855
00:50:51,480 --> 00:50:54,960
Speaker 1: the number one answers, Eminem peanuts and Eminem peanuts are

856
00:50:55,080 --> 00:51:00,160
Speaker 1: dominant from Texas and every state surrounding Texas. Essentially, it's

857
00:51:00,200 --> 00:51:04,359
Speaker 1: also Massachusetts, Rhode Island, Connecticut, New York, like a bunch

858
00:51:04,400 --> 00:51:06,879
Speaker 1: of a bunch of those states or not New York.

859
00:51:06,920 --> 00:51:10,200
Speaker 1: Actually New York is cookie dough bites. So Eminem peanuts

860
00:51:10,360 --> 00:51:14,200
Speaker 1: have like a big stronghold in big chunks of the

861
00:51:14,239 --> 00:51:18,120
Speaker 1: country that are very populous, and also Wisconsin. And then

862
00:51:18,200 --> 00:51:22,800
Speaker 1: there is a big divide. It was mentioned before Miles

863
00:51:22,800 --> 00:51:25,719
Speaker 1: said red vines. One of you said red vines or

864
00:51:25,719 --> 00:51:29,200
Speaker 1: Twizzlers or twizzlers or red vines, they are separate. They're

865
00:51:29,239 --> 00:51:33,440
Speaker 1: different candies and Twizzlers are the East Coast, and then

866
00:51:33,520 --> 00:51:37,040
Speaker 1: red vines are so red vines are the number one

867
00:51:37,080 --> 00:51:42,080
Speaker 1: candy Washington, ore again, California, Nevada. It's it's the most

868
00:51:42,600 --> 00:51:46,800
Speaker 1: it is holding down an entire Idaho, Colorado, it's holding

869
00:51:46,800 --> 00:51:49,760
Speaker 1: down that entire chunk of the map and nowhere else,

870
00:51:50,320 --> 00:51:54,400
Speaker 1: nowhere else. Yeah, but red vines. So red Vines started

871
00:51:54,440 --> 00:51:58,319
Speaker 1: in Chicago and Twizzlers I think started in New York.

872
00:51:58,600 --> 00:52:02,359
Speaker 1: And it's been that way since day one. That they're like,

873
00:52:03,160 --> 00:52:07,200
Speaker 1: you know, regionally, it's either you know, either the Mississippi

874
00:52:07,440 --> 00:52:11,360
Speaker 1: or west of the Rockies. We we don't know where

875
00:52:11,360 --> 00:52:15,879
Speaker 1: exactly to divide. Red vines are dominant on one side

876
00:52:15,920 --> 00:52:20,960
Speaker 1: of the country and Twizzlers. Wonder what the story is there, Yeah, yeah,

877
00:52:21,719 --> 00:52:23,640
Speaker 1: I don't know. Yeah, I wonder if like if you

878
00:52:23,719 --> 00:52:27,840
Speaker 1: went into like a movie theater and like fucking Maryland

879
00:52:27,920 --> 00:52:29,560
Speaker 1: or something, and you're like, let me get some red

880
00:52:29,640 --> 00:52:32,880
Speaker 1: vines and they're like red vines, Like if they would

881
00:52:32,920 --> 00:52:34,920
Speaker 1: if it would be like that kind of an outward thing,

882
00:52:34,920 --> 00:52:36,799
Speaker 1: because when I didn't know about red vines when I

883
00:52:36,840 --> 00:52:40,040
Speaker 1: grew up on the East Coast, I only knew of Twizzlers.

884
00:52:40,440 --> 00:52:43,319
Speaker 1: I didn't know about I knew about Twizzlers from the commercials,

885
00:52:43,400 --> 00:52:46,360
Speaker 1: but I never saw Twizzlers in the store. Growing up

886
00:52:46,400 --> 00:52:49,239
Speaker 1: in l A. I always saw red vines. That big

887
00:52:49,280 --> 00:52:52,719
Speaker 1: tub of red vines. I've always like, I don't know,

888
00:52:52,920 --> 00:52:54,239
Speaker 1: that used to be a thing we would rink root

889
00:52:54,280 --> 00:52:57,680
Speaker 1: beers out of. So Twizzlers is owned by I think

890
00:52:57,760 --> 00:53:05,680
Speaker 1: Mars or Hershey, and so I think they're Twistler's headquarters Lancaster, Pennsylvania.

891
00:53:05,960 --> 00:53:09,640
Speaker 1: Red Vines headquarters a five minute walk from me, So

892
00:53:09,920 --> 00:53:14,279
Speaker 1: maybe it's just shorter trucking times. Yeah, I mean. Twizzlers

893
00:53:14,320 --> 00:53:18,080
Speaker 1: origins are traced to New York's Young and Smiley confectionery

894
00:53:18,160 --> 00:53:21,080
Speaker 1: firm in eighteen forty five, which was bought by her

895
00:53:21,160 --> 00:53:25,640
Speaker 1: She's in nineteen seventy seven. And then the American Liquorice

896
00:53:25,719 --> 00:53:30,280
Speaker 1: Company of Chicago premiered it's black liquorice vines in nineteen fourteen.

897
00:53:30,760 --> 00:53:34,759
Speaker 1: And then the classic Raspberry Vines, which is what Red

898
00:53:34,840 --> 00:53:38,439
Speaker 1: vines original name was, made their debuts six years later.

899
00:53:39,760 --> 00:53:42,920
Speaker 1: Our red vines raspberries. They're supposed to be raspberry, are they?

900
00:53:43,000 --> 00:53:47,040
Speaker 1: I don't funk with either really, because they're they're not

901
00:53:47,160 --> 00:53:49,759
Speaker 1: tard enough. I need them to like nerd ropes are

902
00:53:49,920 --> 00:53:54,200
Speaker 1: the are are the rope that was promised, like I

903
00:53:54,280 --> 00:53:56,560
Speaker 1: needed to be like sweet and tart. I don't. I

904
00:53:56,600 --> 00:54:02,000
Speaker 1: don't like they're just both so dull. So yeah, that

905
00:54:02,000 --> 00:54:07,680
Speaker 1: that is my preferences. The sour Patch kid, my teenage daughters,

906
00:54:07,880 --> 00:54:14,120
Speaker 1: Welcome to the world candy. Yeah, I think they mixed

907
00:54:14,160 --> 00:54:17,360
Speaker 1: the best with popcorn too. I love to dump my

908
00:54:17,400 --> 00:54:20,520
Speaker 1: Sarura Patch kids. They also so I was gonna say

909
00:54:20,520 --> 00:54:23,040
Speaker 1: the raisin nets, I said earlier when you're talking about

910
00:54:23,080 --> 00:54:25,160
Speaker 1: raisin nets that you can dump the whole box in,

911
00:54:25,600 --> 00:54:28,360
Speaker 1: but actually raising nets, they all go to the bottom,

912
00:54:28,400 --> 00:54:30,400
Speaker 1: so you have to do a layered thing. You have

913
00:54:30,440 --> 00:54:34,799
Speaker 1: to do like an Sara Patch kids, though like for

914
00:54:34,840 --> 00:54:37,640
Speaker 1: whatever reason, they don't always fall all the way to

915
00:54:37,680 --> 00:54:39,759
Speaker 1: the bottom. You can, you can dump. Can I ask

916
00:54:39,800 --> 00:54:43,239
Speaker 1: a question, why are there states that have none Like

917
00:54:43,400 --> 00:54:48,960
Speaker 1: Maine apparently has no favorite candy They refused to report,

918
00:54:50,400 --> 00:54:53,359
Speaker 1: Like Cinemark doesn't operate there. Maybe yeah, I think that's

919
00:54:53,400 --> 00:54:57,560
Speaker 1: probably a Cinemark doesn't have any chains there. Oh, they

920
00:54:57,560 --> 00:55:03,400
Speaker 1: operate New Hampshire, but not Vermont. Huh okay being drawn

921
00:55:04,239 --> 00:55:07,239
Speaker 1: but and like, yeah, twizzlers are also like I know

922
00:55:07,280 --> 00:55:09,040
Speaker 1: people who are like you gotta get a fresh batch

923
00:55:09,080 --> 00:55:11,560
Speaker 1: of Twizzlers. You gotta get a fresh batch of Twizzlers.

924
00:55:12,040 --> 00:55:15,200
Speaker 1: I just got someone I know like got a like

925
00:55:15,320 --> 00:55:18,439
Speaker 1: a shipment of Twizzlers recently, and they're like, I got

926
00:55:18,480 --> 00:55:25,720
Speaker 1: fresh ones, come triumph. They don't taste better bread or something. Yeah,

927
00:55:26,440 --> 00:55:28,879
Speaker 1: I don't know. It's just like I get that there

928
00:55:28,920 --> 00:55:31,920
Speaker 1: are freshies you want to have from Halloween candy, right,

929
00:55:31,960 --> 00:55:35,440
Speaker 1: like a fresh abbasaba that is good, like when they

930
00:55:35,560 --> 00:55:37,640
Speaker 1: when they go too long, they turn to cement or whatever.

931
00:55:37,719 --> 00:55:40,239
Speaker 1: But a Twizzler or like a red fine I don't

932
00:55:40,239 --> 00:55:43,040
Speaker 1: know about like a stale one where I'm like, I

933
00:55:43,040 --> 00:55:46,000
Speaker 1: think I'm just not a candy candy freshness is real.

934
00:55:46,120 --> 00:55:48,520
Speaker 1: I have come to appreciate that the freshness of a

935
00:55:48,560 --> 00:55:52,720
Speaker 1: candy over definitely helps, is it. It's better like when

936
00:55:52,719 --> 00:55:56,640
Speaker 1: when it's kind of new, like when you're eating Halloween candy,

937
00:55:56,800 --> 00:55:59,400
Speaker 1: like in the New Year, that that ship is not

938
00:55:59,600 --> 00:56:02,359
Speaker 1: is no longer any good right for the most part.

939
00:56:02,360 --> 00:56:06,040
Speaker 1: I mean, the neighborhood kids took everything but left the

940
00:56:06,040 --> 00:56:09,439
Speaker 1: tutsie rolls, which really surprised me. I loved to see rolls.

941
00:56:11,840 --> 00:56:18,920
Speaker 1: I'm not a fan of or the candy. I like it.

942
00:56:18,920 --> 00:56:23,080
Speaker 1: It's good, but they kept they kept like moving literally

943
00:56:24,280 --> 00:56:28,960
Speaker 1: moving them aside and looking for the sour stuff like Jack, Yeah,

944
00:56:29,160 --> 00:56:32,240
Speaker 1: I like this so our stuff the kid kids these days.

945
00:56:32,520 --> 00:56:34,920
Speaker 1: That's that's how you know we're a young hip podcast.

946
00:56:34,960 --> 00:56:39,719
Speaker 1: We say, yeah, they like the sour candy, that's for sure.

947
00:56:40,480 --> 00:56:42,840
Speaker 1: Nine Boys, the six nine Boys should have done a

948
00:56:42,880 --> 00:56:47,239
Speaker 1: collab with the makers of the Tutsi role. They never did.

949
00:56:47,440 --> 00:56:51,520
Speaker 1: There's probably some commercial somewhere. I mean, what happened to

950
00:56:51,600 --> 00:56:54,840
Speaker 1: Quad City? You know where? How far have we fallen?

951
00:56:54,960 --> 00:56:58,360
Speaker 1: In this time? S music is still very popular in

952
00:56:58,400 --> 00:57:01,080
Speaker 1: all the parties, so I don't know, you know, even

953
00:57:01,160 --> 00:57:04,239
Speaker 1: like my school proms. Oh they st don't know about

954
00:57:04,280 --> 00:57:07,040
Speaker 1: Miami Bay're still whooping there it is? Isn't that them?

955
00:57:07,560 --> 00:57:14,680
Speaker 1: Is that them? Oh? No, it's not them? DJA to DJs.

956
00:57:14,960 --> 00:57:19,960
Speaker 1: Isn't that them? The whoop there? It is? No? That

957
00:57:20,160 --> 00:57:26,480
Speaker 1: was That was a d C tag team. Tag team again.

958
00:57:31,360 --> 00:57:34,720
Speaker 1: Very sad yesterday where I was playing that song in

959
00:57:34,720 --> 00:57:38,160
Speaker 1: the car. It's been on my kids playlists since they were,

960
00:57:38,600 --> 00:57:41,439
Speaker 1: you know, two, and my six year old was like, yeah,

961
00:57:41,480 --> 00:57:46,800
Speaker 1: I don't really like this song. It was like, really

962
00:57:46,880 --> 00:57:50,360
Speaker 1: is a hard moment. I think it's probably because we've

963
00:57:50,400 --> 00:57:54,200
Speaker 1: worn it out, but it's still wow. They really don't

964
00:57:54,880 --> 00:57:58,720
Speaker 1: so they can't brutal they so they cannot dig it. Yeah,

965
00:57:59,400 --> 00:58:05,160
Speaker 1: I said, can emerge around and we can look at

966
00:58:05,200 --> 00:58:08,600
Speaker 1: the road. Just look at the road, looking around, asking me,

967
00:58:08,640 --> 00:58:10,840
Speaker 1: can we dig it our own graves? Because you're about

968
00:58:10,840 --> 00:58:17,680
Speaker 1: to crash this car? No miles. What's your favorite candy?

969
00:58:17,920 --> 00:58:20,680
Speaker 1: Did you say? Oh? You said ropes? I said nine

970
00:58:20,760 --> 00:58:22,560
Speaker 1: things because I'm high when I go into a movie

971
00:58:22,600 --> 00:58:24,400
Speaker 1: theater and I have to I have to indulge all

972
00:58:24,480 --> 00:58:27,360
Speaker 1: my senses, Sweeten, none of ours, none of ours were

973
00:58:27,360 --> 00:58:30,400
Speaker 1: really on here like other than I guess red vines.

974
00:58:30,560 --> 00:58:34,040
Speaker 1: I will say Reese's Pieces I love. But that's all

975
00:58:34,080 --> 00:58:37,520
Speaker 1: because of ET. ET is the best product placement of

976
00:58:37,560 --> 00:58:40,400
Speaker 1: all time. It remains the best product placement of all time.

977
00:58:41,280 --> 00:58:44,960
Speaker 1: I don't think I like Reese's pieces. I don't think

978
00:58:45,000 --> 00:58:48,160
Speaker 1: I've ever liked them, but I still funk with them

979
00:58:48,240 --> 00:58:51,040
Speaker 1: when I'm at a movie theater because of ET, and

980
00:58:51,120 --> 00:58:53,240
Speaker 1: because of ET, I started getting them when I was

981
00:58:53,280 --> 00:58:55,960
Speaker 1: young at the movie theater and just to have like

982
00:58:56,000 --> 00:58:58,200
Speaker 1: an association where I'm like, man, if I eat a

983
00:58:58,200 --> 00:59:01,240
Speaker 1: pound of Reese's pieces, I get a wild sugar high.

984
00:59:01,600 --> 00:59:05,400
Speaker 1: So I still remember getting those at Honey, I shrunk

985
00:59:05,440 --> 00:59:09,160
Speaker 1: the kids when I was Those were the days. How

986
00:59:09,200 --> 00:59:12,040
Speaker 1: do you what's what are your thoughts on pieces? I'm neutral,

987
00:59:12,640 --> 00:59:17,040
Speaker 1: I'm very blah bland me. I don't have you know,

988
00:59:17,080 --> 00:59:20,360
Speaker 1: I don't hate them. I don't love them. They're kind

989
00:59:20,400 --> 00:59:23,680
Speaker 1: of just ma But I find it interesting that you

990
00:59:23,680 --> 00:59:29,080
Speaker 1: would like that you're palette would enjoy a food because

991
00:59:29,080 --> 00:59:32,560
Speaker 1: of a movie. Yeah. Oh yeah. I think it's like

992
00:59:32,600 --> 00:59:36,640
Speaker 1: the association. It's purely the association. There's like there's been

993
00:59:36,640 --> 00:59:39,400
Speaker 1: a few movies where, like or TV shows. I started

994
00:59:39,440 --> 00:59:42,880
Speaker 1: eating stuff because of what I saw on TV. Like

995
00:59:43,320 --> 00:59:47,000
Speaker 1: I remember Abba Zabba because of how high No no,

996
00:59:47,120 --> 00:59:49,520
Speaker 1: I mean half baked. They're telling about abazab and I

997
00:59:49,520 --> 00:59:51,600
Speaker 1: was like, I'm gonna try that. And then I was like, okay,

998
00:59:51,640 --> 00:59:56,000
Speaker 1: this is interesting. Uh Reese's pieces because of et There

999
00:59:56,080 --> 00:59:58,520
Speaker 1: was one other one that I oh, in Mall Rats,

1000
00:59:58,600 --> 01:00:01,120
Speaker 1: this dude is eating like chocolate cover pretzels in the scene,

1001
01:00:01,120 --> 01:00:03,440
Speaker 1: and then I became I just went all in on

1002
01:00:03,520 --> 01:00:06,800
Speaker 1: chocolate cover pretzels. Yeah, so I don't I think what

1003
01:00:06,960 --> 01:00:10,240
Speaker 1: all that to say is I'm stupid and I want

1004
01:00:10,280 --> 01:00:18,440
Speaker 1: to be like TV screen worked, and I don't. I

1005
01:00:18,440 --> 01:00:21,400
Speaker 1: didn't knowingly say I'm eating this because of ET. It's

1006
01:00:21,440 --> 01:00:24,720
Speaker 1: just that ET eating those things. And it had like

1007
01:00:24,920 --> 01:00:27,600
Speaker 1: they they fully eat a nice little crunch whenever he

1008
01:00:27,840 --> 01:00:31,440
Speaker 1: ate it and the colors of the bag. For whatever reason,

1009
01:00:31,480 --> 01:00:34,760
Speaker 1: its just it worked. They got my ass and that

1010
01:00:34,840 --> 01:00:37,680
Speaker 1: was supposed to be Eminem's and Mars fucked up and

1011
01:00:38,280 --> 01:00:41,760
Speaker 1: just we're like, we're not interested in putting our candy

1012
01:00:41,800 --> 01:00:44,960
Speaker 1: in your little movie. So they went with Reese's pieces

1013
01:00:45,040 --> 01:00:47,600
Speaker 1: and oh that's right, yeah, and they're like, you can

1014
01:00:47,600 --> 01:00:50,840
Speaker 1: do it for free, and much about this. We did

1015
01:00:50,840 --> 01:00:52,840
Speaker 1: a whole thing on it because we were we were

1016
01:00:52,840 --> 01:00:56,920
Speaker 1: really thinking about how like seminole that is for Reese's pieces,

1017
01:00:57,000 --> 01:00:59,120
Speaker 1: that ET thing, and I think it's also seen as

1018
01:00:59,160 --> 01:01:02,280
Speaker 1: wacky little things. Just drop a couple of recent pieces

1019
01:01:02,320 --> 01:01:06,400
Speaker 1: like that's appetizing. I don't know why, but it felt magical.

1020
01:01:06,520 --> 01:01:10,280
Speaker 1: It does. It works for some reason. It should None

1021
01:01:10,280 --> 01:01:20,240
Speaker 1: of it should work. I can't little fingers though. All right,

1022
01:01:20,520 --> 01:01:24,360
Speaker 1: that's gonna do it for this week's Weekly Zeite. Guys,

1023
01:01:24,520 --> 01:01:28,360
Speaker 1: please like and review the show. If you like the show,

1024
01:01:28,920 --> 01:01:33,320
Speaker 1: uh means the world to Miles. He needs your validation. Folks.

1025
01:01:33,920 --> 01:01:37,000
Speaker 1: I hope you're having a great weekend and I will

1026
01:01:37,040 --> 01:02:13,720
Speaker 1: talk to you Monday. By