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Speaker 1: Hello the Internet, and welcome to Season to fifty four,

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Speaker 1: Episode two of Dirt Day Lysai Guys Say, production of

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Speaker 1: I Heart Radio. This is a podcast where we take

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Speaker 1: a deep dive into America's shared consciousness. That it is Tuesday, September,

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Speaker 1: our favorite national ants on a log day, National bald

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Speaker 1: is beautiful day. Okay, National peanut Day. Peanut and I

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Speaker 1: mean peanuts really having a good day on this day

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Speaker 1: where they have their own day. And then also one

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Speaker 1: of the most delicious ways to consume peanut. But yeah,

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Speaker 1: ants on a logue are the are the ants raisins?

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Speaker 1: Is that how that works? Yes? Okay? Typically, and then

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Speaker 1: if you look at a peanut, it could look like

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Speaker 1: a bald head, which is beautiful, so I mean, yeah,

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Speaker 1: Mr Peanut, they're definitely an example of a bald beautiful king.

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Speaker 1: It's also called Day of the Programmer, which interesting construction

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Speaker 1: of the name because normally it's a national Bob. This

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Speaker 1: feels like fucking day a programmer. Yeah, that sounds like

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Speaker 1: it was Britain. The night Programmer is upon us. But yeah,

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Speaker 1: it's because it's the two fifty six, the day of

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Speaker 1: the year. Because the number of distinct to programmers Okay,

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Speaker 1: I'll people know that it's represented by an eight by

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Speaker 1: eight byte two fifty six equals to to the eighth hour.

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Speaker 1: Come on, folks, exactly eight bit. I don't know what

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Speaker 1: I'm saying. Did you guys know that I had no idea?

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Speaker 1: That is so embarrassing for you guys. Anyways? Is Jack

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Speaker 1: O'Brien a k? Yeah, Jack Horseman courtesy and Miles Gray

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Speaker 1: and I'm thrilled to be joined by like host Mr

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Speaker 1: Miles Grad. Look at all the royal people do do

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Speaker 1: do do? Do? Do do do? Look at all the

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Speaker 1: loyal people. Doo doo doo doo doo doo doo doo doo.

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Speaker 1: Silly and Murphy watches the hearse as it rolls down

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Speaker 1: the streets with a grin. There goes the Queen watches

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Speaker 1: the king go sit on his ass in a throne

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Speaker 1: that he hates more and more down to his core.

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Speaker 1: All the loyal people, they think the Queen's their mom. Ah.

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Speaker 1: The loyal people swear to the royals. Shout out to

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Speaker 1: Christie Amagucci main he one right, the harsh royal a

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Speaker 1: k is, I love it. Let's keep them going. Maybe

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Speaker 1: we hit a royal flush the collaboration between you and

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Speaker 1: Chrispy Meme donut Right now, Christie Aamagucci, is it's McCartney

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Speaker 1: Lennon ESK. I gotta say yes. Yeah, it's appropriate that

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Speaker 1: he did eleanor Rigby because it's that the likes of

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Speaker 1: this haven't been seen since they were on one for

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Speaker 1: a couple of years back in the dead, since they

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Speaker 1: got back from India. Man, I'll trick it out, you

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Speaker 1: know what I mean? That's what from that phase. Yeah, yeah, well, Miles,

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

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Speaker 1: by a very talented writer, stand up comedian, and the

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Speaker 1: host of the Beck del Cap podcast taking down the

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Speaker 1: patriarchy one movie at a time. She also happens to

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Speaker 1: have a master's degree in film No Big Whoop. The

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Speaker 1: most antagrammable name in the English language, No big Whoop.

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Speaker 1: So depending on whether you've been given her name in

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Speaker 1: a word jumble or not, you may know her as

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Speaker 1: nine Tip Dracula Latin dancer ut I, but in our

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Speaker 1: hearts she will always be Caitlin da Rant. Hello, I've

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Speaker 1: got another anagram ship I mean, and by that I

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Speaker 1: mean yes, please, okay this one. Let me set it

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Speaker 1: up a little bit. Okay, I like him a bastory,

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Speaker 1: Yeah of course. Well okay, so you know how certain

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Speaker 1: you know movie titles. Let's say it'll be like, I

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Speaker 1: coma Frankenstein. I comma Tania. This follows this, Okay, okay,

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Speaker 1: so it's so it's I radical nut net. Now let

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Speaker 1: me explain what a nut net is, you know, in

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Speaker 1: like bathing suits for like if you have like junk

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Speaker 1: and you have that kind of mesh mining, Yeah, that's

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Speaker 1: a nut neet. Okay, look it up. You won't find

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Speaker 1: anything because I just made this up, but I feel

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Speaker 1: like that's what a nutnet is. So again it's I

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Speaker 1: comma radical nut net, not net. How is it radically

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Speaker 1: different from the traditional nutnet? And I hate on the outside.

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Speaker 1: It's on the outside of the that's how you do

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Speaker 1: it exactly. Yeah, it ceases to function at all, it

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Speaker 1: does function. Yeah, right the ba you as a kid

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Speaker 1: wearing my trunks inside out and thinking it's so funny

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Speaker 1: because of that, that was so funny. Yeah, you're correct.

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Speaker 1: At that time, it's totally worth my mom saying look

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Speaker 1: at you, stupid. Now go change in the house and

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Speaker 1: Jathane stupid. Oh man, I wonder if I have to

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Speaker 1: like start nagging my kids when I think they're actually

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Speaker 1: being funny, you know, because yeah, they are funny, Like

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Speaker 1: they say funny stuff and I just laugh at them.

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Speaker 1: But I feel like that's not going to make them

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Speaker 1: funny when they grow up. Right. Well, in Japanese, like

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Speaker 1: the word baka means stupid, but it also means like

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Speaker 1: like when you laugh, you're like fucking stupid, you know

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Speaker 1: what I mean. Like it's this sort of same thing,

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Speaker 1: so exasperatedly my mom like and like but being like laughing,

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Speaker 1: So it's not like, hey, stupid fun get in there.

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Speaker 1: It's like stupid. It was like the more the energy

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Speaker 1: of that statement. Yeah, okay, And I think kids need

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Speaker 1: to learn some humility at an early age. Yeah, I've

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Speaker 1: been using the bad cops and we own the city

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Speaker 1: always called the people who they're abusing dummy. They're always like,

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Speaker 1: come here, dummy, what are you doing there? Dummy? Get

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Speaker 1: over your dumb dumb And so I've been doing a

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Speaker 1: lot of that and they think that's very funny. Yeah,

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Speaker 1: that's in that parenting book dumb dumb. Yeah you're you

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Speaker 1: are a Baltimore cop and a parent them up raising them.

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Speaker 1: I do do a bad Baltimore accent every time of

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Speaker 1: doing it, so I think they get it. And what

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Speaker 1: does that sound like? Could you demonstrate come over here, dumb, dumb? Alright,

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Speaker 1: come here, dummy. It's like a Philly accent. I feel

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Speaker 1: like the way you did it was you just kind

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Speaker 1: of kept your mouth tighter. Just did my mouth old tighter.

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Speaker 1: Get over here, dumb, dumb, get over here. D Wow. Yeah,

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Speaker 1: I can't wait to the behind the scenes that you've

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Speaker 1: been the accident coach. I've been working on like I've

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Speaker 1: been really just like trying to embody the character, you know,

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Speaker 1: as much as possible. So well, thank you, all right, Caitlin.

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Speaker 1: You were just traveling the world. How how is the world?

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Speaker 1: You know, it's hot and it's it's mostly just hot,

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Speaker 1: not much else to say about it. It's nice. Europe

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Speaker 1: is nice. I don't know if if anyone's ever thought

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Speaker 1: this or said this before, but like, for example, Paris,

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Speaker 1: it's it's pretty, Barcelona it's nice, okay, But I'm the

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Speaker 1: first person to have this thought. So um, I was

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Speaker 1: just there too, and I actually I have a different thought.

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Speaker 1: When I was in Barcelona, the biggest glaring like fault

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Speaker 1: of that city, and I think just Catalonia in general,

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Speaker 1: the lack of best buys. There's not a single best

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Speaker 1: buy there, and I'm like, where am I supposed to

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Speaker 1: get a phone charger? And I was screaming at these

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Speaker 1: people saying I need an iPhone charger and they're like

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Speaker 1: telling me to go to I don't know. It wasn't

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Speaker 1: best by, very unhelpful and if they don't have a

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Speaker 1: best buy, that should be the first thing they advertised,

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Speaker 1: so you don't waste all three days you're they're looking

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Speaker 1: for a best buy, right, which is why I have

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Speaker 1: a new website called best Buy or Not. And you

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Speaker 1: put in a destination, it tells you straight up if

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Speaker 1: there's a best buy or not saves you a ton

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Speaker 1: of money there you go. Any other highlights though, no,

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Speaker 1: just just that they're no best buys. I guess probably

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Speaker 1: across most of Europe. Yeah to Shane tragic, to Barcelona nice,

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Speaker 1: and Paris is pretty or do I have that reversed?

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Speaker 1: I think you have that correct. I would also say

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Speaker 1: London pleasant, okay, Damn Edinburgh cute, Amsterdam, Amsterdam charming? Wow

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Speaker 1: from scathing takes? Is that all we're not in the

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Speaker 1: overrated yet, let's not good or any any places you

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Speaker 1: went that were just like good? Um, I love a

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Speaker 1: good place. You know, it's just like good? It is?

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Speaker 1: Do you mean that is in like good? Is a

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Speaker 1: step down from the other adjectives I used, a step

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Speaker 1: more broad, a step more nondescriptive. Um, No, I would say, no,

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Speaker 1: places are just good, okay, good enough? Yeah? Yeah, take it.

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Speaker 1: Takes a lot to and have it good. Yeah. Alright, Well, Kaitlyn,

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Speaker 1: we're gonna get to know you a little bit better

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Speaker 1: in a moment. First, we're gonna tell our listeners a

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Speaker 1: couple of the things we are talking about today. We're

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Speaker 1: talking about herschel Walker. We're talking about Denver's pilot program

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Speaker 1: for policing alternatives, for having an alternative too, like a

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Speaker 1: single alternative to calling an armed person to um and

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Speaker 1: point a gun at people. It's called the STAR Program

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Speaker 1: Support Team Assisted Response, and dodgy sounds like a dystopia

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Speaker 1: where the criminals are run and everything right, exactly. No,

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Speaker 1: it's so it's just people who have psychological you know,

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Speaker 1: psychiatric training, and they respond to people who are having

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Speaker 1: mental health crises instead of the police. And you'll never

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Speaker 1: guess what happened they they've been doing this in Denver

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Speaker 1: for a year. Stay tuned. We're gonna talk about Pumpkin Spice,

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Speaker 1: a couple a couple of culture wars that I feel

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Speaker 1: like have have been officially lost. Pumpkin Spice has officially won.

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Speaker 1: And also the masking where where they've just given up.

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Speaker 1: They're like, dah, do whatever the funk you want. It's

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Speaker 1: all good, bro. So we'll talk about that plenty Moore.

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Speaker 1: But first, Caitlin, we like to ask our guest, what

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Speaker 1: is something from your search history? I go old in

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Speaker 1: Conto screenplay pdf to see if I could find a

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Speaker 1: PDF of the screenplay for the movie in Conto and

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Speaker 1: I did, guessing that's what you were looking for, and

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Speaker 1: those are good. That is good search term. Thank for that,

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Speaker 1: Thank you, it was successful, well searched. What are you

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Speaker 1: doing in the script? Oh um? I wanted to take

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Speaker 1: a look to see how old the Mirabelle character is

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Speaker 1: supposed to be when she's like grown up or like

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Speaker 1: you know, throughout most of the movie, I couldn't tell

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Speaker 1: if she was like a teenager and adult wasn't sure.

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Speaker 1: We're about to cover it on the beattel cast, So

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Speaker 1: what I wanted to Yeah, watch Out World. I mean

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Speaker 1: seriously though, that is that is a great, great episode

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Speaker 1: that I'm very excited to listen to. What did you

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Speaker 1: find out? Where should should we tune in to to

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Speaker 1: find out? It's a big Yeah, it's too big of

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Speaker 1: a um no, she is fifteen? Oh okay, so right, yeah,

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Speaker 1: I could see that. That's definitely on the young side.

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Speaker 1: But I feel like movies always in the described age

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Speaker 1: like error on the young side. You know, Chief Brody

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Speaker 1: from Jaws was actually seventeen years old. You didn't realize

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Speaker 1: that because because they just wanted to be like young sexy,

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Speaker 1: you know, just always go young. Because I assumed she

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Speaker 1: was older because I mean that character design, Yeah, could

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Speaker 1: be a fifteen year old, but also could be like

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Speaker 1: a year old. Wasn't really sure. And then the voice

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Speaker 1: actor is like a full adult, so I was like,

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Speaker 1: she's like twenty one right now. It turns out she's

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Speaker 1: a teenager, right, I haven't seen it? What what? What

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Speaker 1: what does the what's the character's function to the narrative

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Speaker 1: that she's the protagonist? Ever heard of that? Because I

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Speaker 1: haven't taken your class, so I don't know, fancy script

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Speaker 1: words like that, you mean character, m why haven't you

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Speaker 1: taken my class canto? That's in canto? So she's yeah, yeah,

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Speaker 1: she's she's I'm sorry, you're watching with your old uncle?

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Speaker 1: Which one's incanto? Oh? Got it? Got it? Got it?

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Speaker 1: So wait, so is it sort of vague if you're like,

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Speaker 1: because she straddles like this sort of age group, You're like,

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Speaker 1: are you looking at this as an adult or a child?

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Speaker 1: That's not even important to the story. I was just

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Speaker 1: I always, you know, do my recap, and I wanted

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Speaker 1: to like accurately say like, oh, because you meet her

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Speaker 1: when she's like a child at the very beginning, and

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Speaker 1: then I was like, flash forward to her as and

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Speaker 1: I wasn't sure if I should say a teenager or adult?

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Speaker 1: Got it? Got it? Got it? So this is all

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Speaker 1: very like, it's not super important to the story how

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Speaker 1: old she is. I just like to be as accurate

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Speaker 1: as possible. I love accuracy, exactly, and we just revealed

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Speaker 1: something about who you are. You respect accuracy. You're not

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Speaker 1: on here just throwing out concepts exactly. She's a She's like, yeah,

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Speaker 1: flash forward to her in an older vibe, But I

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Speaker 1: do do that sometimes, because sometimes is not the right exactly.

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Speaker 1: You can think of a good like how old that

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Speaker 1: character is supposed to be? Mystery and I'm coming up blank.

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Speaker 1: But honestly, let us know, U Paddington. No one understands

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Speaker 1: how old Paddington is or is supposed to be except

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Speaker 1: for you. Nobody else gets it. He's ageless times fifteen

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Speaker 1: fifteen times actors pretended not to be their age and

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Speaker 1: TV and movies but fooled absolutely nobody. I guess that's yeah.

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Speaker 1: What is something you think is overrated? I think that

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Speaker 1: sour dough bread is overrated? Damn go on, wow, it's

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Speaker 1: I think we just have to go to go to

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Speaker 1: a break right now. I don't know. I don't know

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Speaker 1: how to react. I need to get they're my thoughts.

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Speaker 1: Let me make to sour and it's usually it's usually

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Speaker 1: too hard of a bread. So if I'm eating I

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Speaker 1: like a sandwich on a croissant, like a soft or

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Speaker 1: like a Brioche croissant, that that's just that's just like

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Speaker 1: hardened butter, like foam form, like layers. But I do

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Speaker 1: like a crois sangwich for sure. They're delicious. Yeah, I

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Speaker 1: don't like to bite into a sandwich and feel as

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Speaker 1: though the jagged edges are cutting my mouth, which is

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Speaker 1: what happens every time I eat a sour dough bread,

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Speaker 1: sandwich or like a baguette, you know. Baggett is also

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Speaker 1: to how they do that in France. Every is everybody's

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Speaker 1: mouth just super like like because I remember you like anytime, yeah,

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Speaker 1: crusty bread, I'm like and I'm like the next day,

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Speaker 1: I'm like, what's wrong with the top of my mouth?

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Speaker 1: And I'm like it was the crust that Absolutely. I

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Speaker 1: love a crusty bread. I love a crusty bread with

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Speaker 1: the soft inside. I think my my issue with sour

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Speaker 1: dough is usually when they also toast it, Like if

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Speaker 1: if they're using Sara dough as a sandwich bread, and

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Speaker 1: then they toast the sour dough, it's like the the

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Speaker 1: sour dough is. I love the consistency of like a

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Speaker 1: regular sour dough where it's like real crusty heart outside

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Speaker 1: and then it's like soft inside. Yeah, my ideal consistency

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Speaker 1: for bread. But when they when they toast it on

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Speaker 1: top of it already having the crusty outside, it's like, yeah,

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Speaker 1: you could you could, you know, strip paint with that

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Speaker 1: ship like that to the outside. Yeah, here have your

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Speaker 1: sandwich between these two bread mattresses that you can get through. Wait,

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Speaker 1: so for you those the flavor sounds like we're saying, Okay,

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Speaker 1: the crust is too much and the sours do sour precisely. Yeah.

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Speaker 1: I love the I love the fetid nature of a

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Speaker 1: sour dough. This is something so tantalizing about the the

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Speaker 1: sourness of it. But I think that just inspires me

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Speaker 1: to use more butter. And that's I'm like, I love

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Speaker 1: this ship because you put enough butter on it and

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Speaker 1: it's barely like regular press. The thing I love about

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Speaker 1: sour dough is how well the sour pairs with butter,

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Speaker 1: A nice salty butter. Yeah, that really goes well together.

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Speaker 1: Look at us ideal ideal sandwich bread, I would say, honestly,

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Speaker 1: I mean again, I love a croissant as a as

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Speaker 1: a as a. I love the catalyst for Sandwiches's just

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Speaker 1: making any sense, but um or mm hmmm, I think yeah,

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Speaker 1: it's it's a it's a tricky one. I'll say, a

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Speaker 1: croissant mhmm. Okay, I love that's just so decadent, Like

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Speaker 1: like if I eat a cross sandwich that's like it's

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Speaker 1: intentional to be like, yeah, it's a special day, one

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Speaker 1: step above putting it on a Crispy Creme doughnut. Yeah. Jack.

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Speaker 1: When we did that live show in Chicago. After the

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Speaker 1: live show, I got Portillos and late at night and

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Speaker 1: I had a beef and cheddar on a fucking croissant.

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Speaker 1: Because the home girl, Ellie McIlvaine, Chicago native, was like,

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Speaker 1: if you go you want to disrespect yourself, get that

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Speaker 1: on the crissan and I was like, say less, unbelievable combo. Uh.

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Speaker 1: It turned the dresser like see through because it was

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Speaker 1: already a notoriously wet sandwich with the like most saturated

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Speaker 1: bread pre saturated bread possible. I love it, love a

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Speaker 1: wet sandwich of anyway. Shout out Chris Sang, which is

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Speaker 1: mm hmmm, what is what something you think is underrated?

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Speaker 1: I think the movie Malignant underrated? Malignant? I haven't okay.

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Speaker 1: So it's a James Juan horror movie from last year,

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Speaker 1: James One King of the World. M there I said it,

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Speaker 1: and Titanic, yes, exactly Titanic quote. You might know him

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Speaker 1: from past word. He made a movie called malignant it is,

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Speaker 1: it is cuckoo bananas. If you like a horror movie

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Speaker 1: that just doesn't really feel like obeying the laws of

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Speaker 1: gravity physics of the films like World. I'm also speaking metaphorically.

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Speaker 1: Gravity doesn't really have much to do with the movie,

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Speaker 1: but it's not tethered to our normal and not bound

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Speaker 1: to you thought that you you understood logic, Well, forget

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Speaker 1: what you know about that, and then watch Maligna. Give

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Speaker 1: me something, give me more than that, now, Like, what's

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Speaker 1: something that make me laugh? Wowant just just go uctually

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Speaker 1: open our what I stand up? Feel like I'm at

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Speaker 1: one of my dad's family reunions, like a laugh and

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Speaker 1: they've never made me laugh in my entire life. What's up?

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Speaker 1: What's up? Go ahead, let let me see it? You

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Speaker 1: know an example, like because I am intrigued now when

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Speaker 1: you say it's it's it's so amazing because it's not

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Speaker 1: tethered to reality, I'm like, well, and that's not the

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Speaker 1: conceit of the film. I'm also worried now that I'm

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Speaker 1: overselling it because I haven't seen the movie since last year,

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Speaker 1: and it's so it's not very fresh in my brain.

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Speaker 1: But another movie that Jamie and I are about to

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Speaker 1: cover on the Bectel cast. So it's like it's top

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Speaker 1: of the dome right now. I'm very excited to rewatch.

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Speaker 1: It's just totally Also, it's not just like straight horror.

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Speaker 1: There's there's it's goofy horror. Will say, that's kind of

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Speaker 1: my favorite like sub genre. You know, I think I

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Speaker 1: don't like straight I don't like like, hey, let me

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Speaker 1: funk you up. You cast your eyes upon this feature

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Speaker 1: I like. I like when it's a little goofy actually,

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Speaker 1: so then you're gonna love Maligan. James One is a

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Speaker 1: filmmaker behind Furious the Yeah, Furious seven, the Conjuring, like

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Speaker 1: a lot of those movies, like all the most successful

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Speaker 1: horror movies, Insidious, Insidious, as well as Aquaman. Yeah, what

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Speaker 1: did he make Insidious? Yeah? So yeah, he made Insidious

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Speaker 1: and Insidious Chapter two, which is what I thought you

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Speaker 1: were recommending, because insidious and malignant both occupied the same

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Speaker 1: spot in my brain because they're both words that you know,

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Speaker 1: are tied to a very bad performance review. You know,

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Speaker 1: it's like, oh no, this has gone very badly. If

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Speaker 1: I get those either of those words, imagine yeah, doing

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Speaker 1: so badly at your job report comes back and it says, yeah,

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Speaker 1: Jack's performance was malignant, malignant member of the team that yeah,

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Speaker 1: but yeah he this is this is what he does

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Speaker 1: and it sounds like he really took it to the

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Speaker 1: next level on this one. Have you have you heard

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Speaker 1: of Barbarian? Yes? And I'm seeing it tomorrow night. Are

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Speaker 1: you okay? Because that is the movie that I've gotten

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Speaker 1: similar recommendations on that are also people being like, don't

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Speaker 1: read anything about it, just go and it's like fun

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Speaker 1: but it's not what you expect, and like the unexpectedness

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Speaker 1: is what is fun about it. And it's made by

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Speaker 1: one of the whitest kids, you know, which I love

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Speaker 1: when a comedy creator it gets into the horror game

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Speaker 1: and is good at it. But yeah, that's getten a

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Speaker 1: lot of buzz. Yeah, it is wild. I just did

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Speaker 1: the the or the description of it. I'm like, oh,

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Speaker 1: this plus the title. It's about someone who like gets

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Speaker 1: to an air BnB and someone else is already there

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Speaker 1: and then it's like, oh, what harm could it do

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Speaker 1: to hang out here tonight? All right? Let me know

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Speaker 1: if it's goofy. It is sponsored by Airbnb, which is

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Speaker 1: the unexpected thing. It ends up Airbnb just makes it

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Speaker 1: like solves everything and it's like really wonderful story. Yeah right,

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Speaker 1: and then you get a brain implant and come out

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Speaker 1: and be like you gotta go see this. The D

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Speaker 1: s X mocking A moment is like as like the

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Speaker 1: main characters like about to be killed. They open the

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Speaker 1: app and they contact the customer surface chat like I

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Speaker 1: think someone was already booked here, and they're like, what,

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Speaker 1: we'll get them out right now, team, right now, you

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Speaker 1: called Airbnb? All right, I'm out, sorry about that then? Yeah, alright, cool.

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Speaker 1: Well I do love getting a good movie recommendation from Caitlin.

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Speaker 1: We have achieved that. I believe it. It's time to

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Speaker 1: take a break and move on to some news, so

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Speaker 1: we will be right back, and we're back and herschel

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Speaker 1: Walker has come up from time to time on this

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Speaker 1: show mainly for being like making some of the wildest

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Speaker 1: statements untethered if you will, from reality, from our policy

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Speaker 1: in general, how logic works. I mean, would you say

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Speaker 1: he's malignant then sort of a malignant figure and his

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Speaker 1: intentions may be insidious? Yes, wow, okay, oh well his

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Speaker 1: polls are no longer underwater like Aquaman because he is

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Speaker 1: now leading Rafael Warnock, or he's slowly been gaining on

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Speaker 1: Warnock and is now in the lead against Rafael Warnock,

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Speaker 1: which has everyone like, oh, ship, that's fucking So he's

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Speaker 1: so clearly a terrible candidate who knows nothing of even

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Speaker 1: what the funck trees are, or like we've talked about

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Speaker 1: how he said he was an FB, how he worked

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Speaker 1: with the FBI, he did not, and like insisted on

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Speaker 1: all this ship that like, remember the other time he

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Speaker 1: was going to kill a guy, but then he played

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Speaker 1: in his truck and then it was like, dear God,

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Speaker 1: don't make me take this man's life. And then he didn't,

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Speaker 1: and that's why he should be your next senator. But

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Speaker 1: he was like, I was going to kill him for

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Speaker 1: the c I A. Right, wasn't that part of it?

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Speaker 1: He was working with you know, he was working with

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Speaker 1: the FBI, who you don't know, and he was following him,

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Speaker 1: and then oh he was gonna he said, I don't know,

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Speaker 1: I don't know what I'm gonna do. And then I

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Speaker 1: saw that he had he was a god fearing man

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Speaker 1: because his truck had a Jesus slogan sticker and that's

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Speaker 1: when he that was his sign from God to how

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Speaker 1: the FBI works. Are they they're like going to take

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Speaker 1: somebody out. But then they're just like, you know what,

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Speaker 1: I figured he's a good guy based on how sloppy

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Speaker 1: they are. I wouldn't doubt it exactly. But you know,

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Speaker 1: like if they're like, oh, okay, so he turned out

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Speaker 1: he was a good guy, they're like, yeah, I couldn't

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Speaker 1: do the bus a good ship. I don't think he's

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Speaker 1: gonna caused too many problems for us, Timothy, let him go.

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Speaker 1: He could use his buddy, could use a couple of

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Speaker 1: flights out of here though. Lucky though, just let's not

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Speaker 1: talk about that. But yeah, so right now, if you

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Speaker 1: look sort of like at the history of the seat, right,

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Speaker 1: Kelly Leffler narrowly lost to Raffael Rafael warnock In and

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Speaker 1: it was narrow like but you know, all you need

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Speaker 1: is plus one and you are the winner. And the

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Speaker 1: GOP was furious that they lost this race because they

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Speaker 1: felt this was a sure thing and Georgia had been,

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Speaker 1: you know, to that point of really reliable red state.

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Speaker 1: And you know a lot of people speculate, was it

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Speaker 1: Trump's voter fraud, cries of voter fraud that suppressed the

419
00:26:46,240 --> 00:26:49,040
Speaker 1: vote or you know, or maybe it was it the

420
00:26:49,080 --> 00:26:52,240
Speaker 1: fact that countless hours were spent by volunteers in campaign

421
00:26:52,320 --> 00:26:53,960
Speaker 1: staff to get as many people to vote in that

422
00:26:54,000 --> 00:26:57,439
Speaker 1: special election. Who knows. But right now Walker has the

423
00:26:57,520 --> 00:26:59,600
Speaker 1: lead and it's very narrow, it's like within the margin

424
00:26:59,640 --> 00:27:01,600
Speaker 1: of air. But when you look at how the polls

425
00:27:01,600 --> 00:27:03,640
Speaker 1: break down, you can see that he's clearly a more

426
00:27:03,680 --> 00:27:07,080
Speaker 1: appealing option for black men in Georgia than Kelly Leffler was.

427
00:27:07,119 --> 00:27:10,359
Speaker 1: He's outperforming her in that demographic, like by seven points.

428
00:27:10,480 --> 00:27:13,520
Speaker 1: I'm sorry, do you mean a fast and the furious seven?

429
00:27:15,000 --> 00:27:19,440
Speaker 1: Thank you, thank you so much, thank you so much,

430
00:27:19,880 --> 00:27:21,840
Speaker 1: because you know, he's I think his signal to other

431
00:27:21,880 --> 00:27:25,320
Speaker 1: black men is a we're family, and that was the

432
00:27:25,400 --> 00:27:29,159
Speaker 1: way he was trying to like we're family, like a

433
00:27:29,680 --> 00:27:35,840
Speaker 1: character in thank and But yeah, so right now that

434
00:27:36,119 --> 00:27:38,160
Speaker 1: seems to be like the one area where he's really

435
00:27:38,160 --> 00:27:41,240
Speaker 1: outperforming Kelly Leffler. And I think, you know from the

436
00:27:41,280 --> 00:27:44,280
Speaker 1: beginning where like this was like a cynical candidate where

437
00:27:44,280 --> 00:27:47,679
Speaker 1: it felt like Trump's big brain was like, get another

438
00:27:47,760 --> 00:27:50,720
Speaker 1: black man to run against that black man, and that

439
00:27:50,840 --> 00:27:53,160
Speaker 1: will be the strategy. And he is my pick even

440
00:27:53,200 --> 00:27:56,680
Speaker 1: though he's a compulsive liar and it could work, but

441
00:27:56,840 --> 00:27:59,119
Speaker 1: we just don't know. But when you look at like

442
00:27:59,200 --> 00:28:03,040
Speaker 1: the other demographic young people and seniors are you know,

443
00:28:03,400 --> 00:28:06,439
Speaker 1: like their their their favorite Warnock, that's not you know,

444
00:28:06,480 --> 00:28:11,119
Speaker 1: an issue women are also breaking for Warnock. It's the

445
00:28:11,240 --> 00:28:17,520
Speaker 1: like forty two sixty six demo that like herschel Walker

446
00:28:17,600 --> 00:28:20,680
Speaker 1: is just crushing in right now. Uh, And that's this

447
00:28:20,800 --> 00:28:23,080
Speaker 1: kind of what the stakes are. Also happens to be

448
00:28:23,160 --> 00:28:26,119
Speaker 1: the demographic that would be familiar with him from his

449
00:28:27,240 --> 00:28:30,439
Speaker 1: playing career, absolutely in the state and be like, I

450
00:28:30,520 --> 00:28:33,600
Speaker 1: know that brand, You've got my attention, and I don't know, Like,

451
00:28:33,640 --> 00:28:36,680
Speaker 1: when you look at it, it's easy to think like, well,

452
00:28:36,720 --> 00:28:38,640
Speaker 1: he should be losing on the heels of all the

453
00:28:38,640 --> 00:28:42,600
Speaker 1: things he says. But again, when one party's full on, like, hey,

454
00:28:42,640 --> 00:28:44,480
Speaker 1: we gotta get all our people in if we're gonna

455
00:28:44,560 --> 00:28:47,200
Speaker 1: never lose an election again, it starts to make a

456
00:28:47,240 --> 00:28:49,080
Speaker 1: little bit of sense. But I just want to point

457
00:28:49,080 --> 00:28:52,880
Speaker 1: out a couple really fantastic Walker isms that happened over

458
00:28:52,920 --> 00:28:57,440
Speaker 1: the last week. The first one whereas him talking about

459
00:28:57,480 --> 00:29:01,479
Speaker 1: how Raphael war Knock is so ex dream because he

460
00:29:01,520 --> 00:29:04,000
Speaker 1: wants white people to feel bad. You know, it's like

461
00:29:04,040 --> 00:29:07,120
Speaker 1: the typical thing that they do on like what like

462
00:29:07,120 --> 00:29:10,240
Speaker 1: when they're writing against democrats, like he's radical and he's

463
00:29:10,440 --> 00:29:12,880
Speaker 1: you know, he's he's a socialist. But this is him

464
00:29:12,920 --> 00:29:15,640
Speaker 1: saying making up a total life that the quote that

465
00:29:15,680 --> 00:29:18,880
Speaker 1: he's saying warnock set he never said that, and he

466
00:29:19,040 --> 00:29:21,040
Speaker 1: just then goes on to make up cool stuff about

467
00:29:21,040 --> 00:29:24,720
Speaker 1: like the Constitution. Was my opponent, Senator Raphael One. I

468
00:29:24,800 --> 00:29:29,600
Speaker 1: remember hearing him say, America, I need to apologize for

469
00:29:29,680 --> 00:29:33,560
Speaker 1: it whiteness. And I'm like, that's not in a bi

470
00:29:33,760 --> 00:29:39,760
Speaker 1: vibert because if you really look at the situation, I'll

471
00:29:39,800 --> 00:29:44,440
Speaker 1: find him Father's don't where and to apologize for his whiteness,

472
00:29:44,480 --> 00:29:48,520
Speaker 1: because if you read the Constitution, it talks about every

473
00:29:48,520 --> 00:29:52,000
Speaker 1: man and treated fair. But what we've done we put

474
00:29:52,040 --> 00:29:55,120
Speaker 1: the wrong person at the table to do the negotiation

475
00:29:55,240 --> 00:29:59,360
Speaker 1: for you. I don't know what that means. Interesting, Yeah,

476
00:29:59,480 --> 00:30:01,960
Speaker 1: he for first of all, he never said time. But

477
00:30:02,040 --> 00:30:06,200
Speaker 1: I think because people who are willingly like acknowledging historic

478
00:30:06,360 --> 00:30:10,440
Speaker 1: like history and uh, you know, hegemony or like yeah,

479
00:30:10,560 --> 00:30:13,360
Speaker 1: you know that there's clearly black people have been a

480
00:30:13,480 --> 00:30:16,160
Speaker 1: disadvantage white people and slave black people. I don't know,

481
00:30:16,240 --> 00:30:18,240
Speaker 1: like maybe those things have been said, so then he's

482
00:30:18,240 --> 00:30:20,480
Speaker 1: like all he's got they got to apologize for that

483
00:30:20,600 --> 00:30:22,959
Speaker 1: or you know, that's how they make the whole acknowledging

484
00:30:23,040 --> 00:30:26,240
Speaker 1: history conversation about, like they want you to apologize for

485
00:30:26,360 --> 00:30:30,480
Speaker 1: doing nothing. M hmm, you didn't do anything. Yeah, and

486
00:30:30,600 --> 00:30:33,080
Speaker 1: I'm sure that wouldn't be in a Bible you ever read,

487
00:30:33,160 --> 00:30:38,600
Speaker 1: because it never mind, the Bible didn't have takes on

488
00:30:38,880 --> 00:30:43,200
Speaker 1: ship that was going on. But fine, and then the

489
00:30:43,280 --> 00:30:47,560
Speaker 1: Constitution does not say that it's about treating everyone fairly.

490
00:30:47,640 --> 00:30:53,280
Speaker 1: Come on, now, come on, now that economy by slavers,

491
00:30:53,440 --> 00:30:57,120
Speaker 1: come on, man. But yeah, that seems to be working,

492
00:30:57,200 --> 00:31:00,080
Speaker 1: as he says, he said, his his whole advance. It

493
00:31:00,240 --> 00:31:01,880
Speaker 1: just been that he gets out there and he talks

494
00:31:01,880 --> 00:31:05,680
Speaker 1: to people and in a way, maybe because his way

495
00:31:05,680 --> 00:31:09,640
Speaker 1: of speaking is so low fi for lack of a

496
00:31:09,640 --> 00:31:13,320
Speaker 1: better term, it's they're like, yep, uh huh. I know

497
00:31:13,400 --> 00:31:15,840
Speaker 1: these like word salad buzzwords that I hear on the

498
00:31:15,880 --> 00:31:17,959
Speaker 1: news all the time. And he's saying that to me

499
00:31:18,040 --> 00:31:21,440
Speaker 1: in a like a even tone. So I like them, Like,

500
00:31:21,560 --> 00:31:25,160
Speaker 1: has there been a Democrat, a Democratic candidate who just

501
00:31:25,440 --> 00:31:28,719
Speaker 1: has realized that like if you just tell nothing but lies,

502
00:31:28,960 --> 00:31:31,240
Speaker 1: the media like kind of gives up on fact checking

503
00:31:31,240 --> 00:31:34,520
Speaker 1: you and everybody just like kind of goes with it.

504
00:31:34,880 --> 00:31:40,120
Speaker 1: Joe Biden, right, Yeah, I guess it just feels it

505
00:31:40,160 --> 00:31:42,520
Speaker 1: feels different, Like I don't know, maybe maybe it just

506
00:31:42,520 --> 00:31:45,440
Speaker 1: feels different because we we want to Joe and to

507
00:31:45,440 --> 00:31:49,080
Speaker 1: win the against Trump, but that is I don't know.

508
00:31:49,120 --> 00:31:51,920
Speaker 1: I mean, I think every politician it's just all versions

509
00:31:51,960 --> 00:31:55,400
Speaker 1: of it, right, Like they'll just say fucking Republicans say

510
00:31:55,480 --> 00:32:01,200
Speaker 1: whatever whenever Democrats say they lie when when it's when

511
00:32:01,200 --> 00:32:04,120
Speaker 1: it's necessary to get people to support them, right, they

512
00:32:04,160 --> 00:32:07,600
Speaker 1: like make promises they know they'll never deliver on. Yeah,

513
00:32:07,880 --> 00:32:12,840
Speaker 1: yeah that's fair. Yeah, So it's uh, who knows anyway,

514
00:32:12,840 --> 00:32:15,880
Speaker 1: I do also want The nine eleven anniversary was on

515
00:32:15,920 --> 00:32:18,960
Speaker 1: Sunday as well, and herschel Walker also had some cool

516
00:32:19,000 --> 00:32:21,640
Speaker 1: stuff to say about nine eleven. But it also sounds

517
00:32:21,680 --> 00:32:24,200
Speaker 1: like he's giving a halftime talk, but I don't know.

518
00:32:24,280 --> 00:32:27,480
Speaker 1: This is herschel Walker's take on you know what happened

519
00:32:27,480 --> 00:32:30,760
Speaker 1: on nine eleven on Fox News with Maria Barter Ramo

520
00:32:31,520 --> 00:32:33,680
Speaker 1: or is that who that is? And it's her birthday?

521
00:32:33,720 --> 00:32:38,440
Speaker 1: To remember her birthdays and never forget. I never forget. Well,

522
00:32:38,480 --> 00:32:42,360
Speaker 1: you know, you gotta pay tribute to the nine eleven victims. Uh,

523
00:32:42,400 --> 00:32:45,800
Speaker 1: you know. But also you saw America come together. You

524
00:32:45,840 --> 00:32:49,239
Speaker 1: saw America come together because this country was you know,

525
00:32:49,400 --> 00:32:53,440
Speaker 1: it was on the war with a country that didn't

526
00:32:53,440 --> 00:32:58,520
Speaker 1: believe in US. Mhm m hm hm. They didn't believe

527
00:32:58,560 --> 00:33:01,600
Speaker 1: in US. Can you believe that, guys, we don't believe

528
00:33:01,640 --> 00:33:04,160
Speaker 1: in US. South America was at war with a country

529
00:33:04,240 --> 00:33:07,040
Speaker 1: that didn't believe in US before nine eleven. No, we

530
00:33:07,080 --> 00:33:09,240
Speaker 1: were not at war. We were on on the war,

531
00:33:09,760 --> 00:33:12,280
Speaker 1: on the war against the country that didn't believe in US.

532
00:33:12,440 --> 00:33:15,479
Speaker 1: Right now we have leaders in Washington like Joe Biden

533
00:33:15,600 --> 00:33:19,840
Speaker 1: doing venomous speeches that doesn't believe in America people. He tried,

534
00:33:20,040 --> 00:33:27,320
Speaker 1: Okay anyway, so thanks, But that's I mean, it is

535
00:33:27,360 --> 00:33:32,440
Speaker 1: an interesting angle that the problem or nine eleven was

536
00:33:32,480 --> 00:33:36,920
Speaker 1: caused by a country that didn't believe in America. Like

537
00:33:37,000 --> 00:33:41,600
Speaker 1: it's it's truly it's truly an eighties movie, like eighties

538
00:33:41,600 --> 00:33:45,080
Speaker 1: movie for children understanding of the world that like you

539
00:33:45,240 --> 00:33:48,600
Speaker 1: just gotta believe in yourself, right or that like your

540
00:33:49,000 --> 00:33:53,240
Speaker 1: oppressive foreign policy around the world globe didn't radicalize people

541
00:33:53,360 --> 00:33:58,520
Speaker 1: into not believing you that believing in this country. It's

542
00:33:58,560 --> 00:34:03,520
Speaker 1: just it's a mainstream media understanding. But it even confuses

543
00:34:03,640 --> 00:34:07,440
Speaker 1: more barter Romo. She's like, what the fuck? Alright, thank you?

544
00:34:08,160 --> 00:34:10,879
Speaker 1: I don't know it maybe is genius because it's so

545
00:34:11,000 --> 00:34:13,800
Speaker 1: off base, like you truly don't know where to begin,

546
00:34:14,040 --> 00:34:18,279
Speaker 1: Like it's beyond dish gallop ship. You're like, I asked

547
00:34:18,280 --> 00:34:20,680
Speaker 1: you for a question, and you like you threw like

548
00:34:20,719 --> 00:34:24,440
Speaker 1: a weird fart cloud at me. You know that. I

549
00:34:24,440 --> 00:34:27,239
Speaker 1: think it was a Miss America contestant giving like an

550
00:34:27,239 --> 00:34:32,839
Speaker 1: absolute nonsense. That's what that sounds like. The Asian countries, Yes, yeah,

551
00:34:33,040 --> 00:34:35,439
Speaker 1: do we have that? Because that does That is kind

552
00:34:35,440 --> 00:34:40,040
Speaker 1: of the perfect corollary that she just is using words

553
00:34:40,120 --> 00:34:45,360
Speaker 1: that are all words that she just like five times,

554
00:34:45,200 --> 00:34:50,120
Speaker 1: and that's like words you would transitions and stuff that

555
00:34:50,120 --> 00:34:54,360
Speaker 1: you would have studied, but without any content, without anything.

556
00:34:55,800 --> 00:34:59,640
Speaker 1: The Miss USA two thousand seven contestant from South Carolina

557
00:34:59,760 --> 00:35:03,080
Speaker 1: may have given politicians a blueprint for how to work

558
00:35:03,160 --> 00:35:06,719
Speaker 1: salad talk. Yeah, remember this. Recent polls have shown a

559
00:35:06,719 --> 00:35:10,040
Speaker 1: fifth of Americans can't locate the US on a world map.

560
00:35:10,760 --> 00:35:16,279
Speaker 1: Why do you think this is? I personally believe that

561
00:35:16,640 --> 00:35:22,880
Speaker 1: US Americans are unable to do so because Salma, people

562
00:35:22,880 --> 00:35:26,759
Speaker 1: out there in our nation don't have bounced. And I

563
00:35:26,800 --> 00:35:30,160
Speaker 1: believe that our education like such as a South Africa

564
00:35:30,600 --> 00:35:35,200
Speaker 1: and Iraq everywhere like such US, and I believe that

565
00:35:35,239 --> 00:35:39,239
Speaker 1: they should our education over here in the U S

566
00:35:39,239 --> 00:35:43,000
Speaker 1: should help the US, or should help South Africa, and

567
00:35:43,080 --> 00:35:46,440
Speaker 1: should help dirac in the Asian countries, so we will

568
00:35:46,480 --> 00:35:49,600
Speaker 1: be able to build up our future. All right, all right,

569
00:35:49,760 --> 00:35:53,279
Speaker 1: thanks so much, Thanks so much. It's always better than

570
00:35:53,320 --> 00:35:59,160
Speaker 1: I've remembered it. It's oh, man, looking at Iras and

571
00:35:59,719 --> 00:36:04,560
Speaker 1: such jazz connective just to be like, I gotta throw us,

572
00:36:04,560 --> 00:36:06,439
Speaker 1: so I gotta get us such as in there. Man,

573
00:36:06,760 --> 00:36:10,400
Speaker 1: you went over these buzz words with the coach. I mean,

574
00:36:11,239 --> 00:36:14,200
Speaker 1: her coach definitely gave her some delay tactics and but

575
00:36:14,760 --> 00:36:19,600
Speaker 1: assuming that eventually there would be something coherent. Did the

576
00:36:19,680 --> 00:36:23,640
Speaker 1: coach did not foresee South Africa coming through and just

577
00:36:23,760 --> 00:36:28,000
Speaker 1: throwing her train of thought completely off And who knows

578
00:36:28,040 --> 00:36:31,360
Speaker 1: where that came from. I mean, look, and I believe

579
00:36:31,440 --> 00:36:34,040
Speaker 1: Donald Trump was the person putting on ship like Miss

580
00:36:34,040 --> 00:36:36,160
Speaker 1: t in USA, so he may have been there taking notes.

581
00:36:36,239 --> 00:36:40,400
Speaker 1: He's like she's brilliant. She fucking just crushed that answer.

582
00:36:40,480 --> 00:36:46,120
Speaker 1: And what anyway, So yeah, that's I mean, it shouldn't be,

583
00:36:47,080 --> 00:36:49,600
Speaker 1: you know, too much of a surprise that the Republicans

584
00:36:49,640 --> 00:36:52,759
Speaker 1: are motivated to vote for somebody who has no business

585
00:36:52,800 --> 00:36:55,160
Speaker 1: being near office. Um. But that's just kind of the

586
00:36:55,160 --> 00:36:59,480
Speaker 1: state of things right now. Yeah, all right, well, good

587
00:36:59,480 --> 00:37:01,719
Speaker 1: to know. And and again the news hook here is

588
00:37:01,760 --> 00:37:04,480
Speaker 1: that he is in the lead. Now, Yeah, he's leading

589
00:37:04,480 --> 00:37:09,359
Speaker 1: by three two to three points depending on where you look.

590
00:37:09,760 --> 00:37:12,120
Speaker 1: M hm. And you know, again, like all those things,

591
00:37:12,160 --> 00:37:14,880
Speaker 1: that's within the margin of air. But what does that

592
00:37:14,960 --> 00:37:17,960
Speaker 1: mean when you have voter suppression and weird pulling all

593
00:37:18,000 --> 00:37:20,879
Speaker 1: over the place. Just but it's it's tight. It's tight.

594
00:37:22,160 --> 00:37:27,600
Speaker 1: Too fast, too furious. I was trying to figure out, Yeah,

595
00:37:28,000 --> 00:37:40,719
Speaker 1: too fast, too very can't drift, drift anyways, let's take

596
00:37:40,719 --> 00:37:43,600
Speaker 1: a quick break. We'll come back and talk about some

597
00:37:43,719 --> 00:38:00,800
Speaker 1: better news maybe, and we're back. And so we talked

598
00:38:01,239 --> 00:38:04,680
Speaker 1: a number of times about the need for some policing

599
00:38:04,719 --> 00:38:08,600
Speaker 1: alternative in the United States. We've talked about it, you know,

600
00:38:09,320 --> 00:38:13,960
Speaker 1: stopped talking about it two years ago, and we've talked

601
00:38:13,960 --> 00:38:18,640
Speaker 1: about it with recently when Joe Biden brought up the

602
00:38:18,760 --> 00:38:21,880
Speaker 1: very good point where he was like, we were allowing

603
00:38:21,960 --> 00:38:26,839
Speaker 1: them to be sociologists psychologists, and then went on to say,

604
00:38:26,880 --> 00:38:29,960
Speaker 1: and that's why we need to We don't need to

605
00:38:30,000 --> 00:38:34,040
Speaker 1: defund the police. We need to fund the police. So

606
00:38:34,080 --> 00:38:39,320
Speaker 1: like so somehow he took that, like, we our policy

607
00:38:39,480 --> 00:38:41,279
Speaker 1: that up to this point has made it so that

608
00:38:41,360 --> 00:38:44,360
Speaker 1: the police are who you call we need a psychologist

609
00:38:44,880 --> 00:38:47,240
Speaker 1: or a sociologist. I'm not sure if I've ever needed

610
00:38:47,239 --> 00:38:50,880
Speaker 1: a sociologist on on demand, but you know, speak for yourself.

611
00:38:51,840 --> 00:38:56,000
Speaker 1: Just he was just free associating, and um, he was like,

612
00:38:56,080 --> 00:38:58,520
Speaker 1: so that's why we need to just absolutely fund the

613
00:38:58,560 --> 00:39:00,160
Speaker 1: ship out of the police, like we have been to

614
00:39:00,200 --> 00:39:03,320
Speaker 1: this point. So we we talked before about how Eugene,

615
00:39:03,320 --> 00:39:08,279
Speaker 1: Oregon for a while had had a policy of you know,

616
00:39:08,680 --> 00:39:13,520
Speaker 1: sending an alternative when somebody was calling the police because

617
00:39:13,640 --> 00:39:17,120
Speaker 1: someone was having a mental health crisis or having a

618
00:39:17,160 --> 00:39:21,880
Speaker 1: bad drug experience, rather than sending someone with guns to

619
00:39:22,600 --> 00:39:26,840
Speaker 1: you know, heighten the situation to just buy the best

620
00:39:27,120 --> 00:39:29,719
Speaker 1: cop in the world. If they bring gun and are

621
00:39:29,760 --> 00:39:32,759
Speaker 1: pointing a gun at people, they're going to scare the

622
00:39:32,760 --> 00:39:35,560
Speaker 1: ship out of the person having a bad drug experience.

623
00:39:35,560 --> 00:39:39,440
Speaker 1: So like just in general, it's it's a bad policy

624
00:39:39,520 --> 00:39:45,600
Speaker 1: to be the default everywhere except Eugene, Oregon. So in Denver, Colorado,

625
00:39:45,760 --> 00:39:48,920
Speaker 1: decided to try out a similar approach on a larger

626
00:39:48,960 --> 00:39:52,760
Speaker 1: scale with something they're calling STAR, which stands for Support

627
00:39:52,800 --> 00:39:58,600
Speaker 1: Team Assisted Response, And when you call nine one one

628
00:39:58,680 --> 00:40:02,279
Speaker 1: in it is nine eleven got not eleven on the drink.

629
00:40:03,160 --> 00:40:07,680
Speaker 1: When you call nine one one, your call will be

630
00:40:08,400 --> 00:40:13,399
Speaker 1: routed either to the police or two STAR, who send

631
00:40:13,520 --> 00:40:17,920
Speaker 1: unarmed people with psychiatric training. It's not at random, by

632
00:40:17,920 --> 00:40:21,200
Speaker 1: the way, the you know, nine one one dispatcher is like, oh,

633
00:40:21,239 --> 00:40:24,279
Speaker 1: this sounds like somebody who is not a danger to

634
00:40:24,480 --> 00:40:28,319
Speaker 1: other people and just might themselves need help in any

635
00:40:28,360 --> 00:40:31,680
Speaker 1: other city that that call is getting routed directly to

636
00:40:31,719 --> 00:40:37,000
Speaker 1: the police either way. Denver is like, here's a wild idea.

637
00:40:37,440 --> 00:40:41,520
Speaker 1: What if because that person doesn't need police assistance, what

638
00:40:41,800 --> 00:40:44,560
Speaker 1: what if we sent what if we created a team

639
00:40:44,600 --> 00:40:47,759
Speaker 1: that wasn't armed and that was there to help them.

640
00:40:48,239 --> 00:40:52,000
Speaker 1: And so they started this. In the neighborhoods where they

641
00:40:52,080 --> 00:40:55,920
Speaker 1: tried it saw much less low level crime, and the

642
00:40:55,960 --> 00:40:58,919
Speaker 1: cost of each of the calls was less than one

643
00:40:59,000 --> 00:41:01,880
Speaker 1: fourth of what a coss to just like throw the

644
00:41:01,880 --> 00:41:06,200
Speaker 1: police at everything, which every one of those dollars then

645
00:41:06,360 --> 00:41:10,680
Speaker 1: goes towards community programs that have actually been shown to

646
00:41:10,760 --> 00:41:18,359
Speaker 1: reduce crime and improve inequality. Right, but is it safer? Yes? Yeah? Yeah?

647
00:41:18,440 --> 00:41:22,160
Speaker 1: Did you? Yeah? Sorry, I just drastically drastically diminished crime.

648
00:41:22,920 --> 00:41:25,840
Speaker 1: I default to. My first thing is just to ask

649
00:41:26,000 --> 00:41:28,959
Speaker 1: without even hearing anything, He's just going yeah, but isn't

650
00:41:29,000 --> 00:41:32,400
Speaker 1: making less safer? So does that make me feel safer?

651
00:41:32,600 --> 00:41:36,920
Speaker 1: I want someone here with a gun yesterday, sir? Is

652
00:41:36,960 --> 00:41:41,960
Speaker 1: how is the went out? Send the armed routes? Please?

653
00:41:43,960 --> 00:41:47,319
Speaker 1: But yeah, I mean so the low level crimes are

654
00:41:47,480 --> 00:41:51,440
Speaker 1: the crimes that they are most likely to interact with,

655
00:41:51,640 --> 00:41:55,359
Speaker 1: and they are doing a better job of keeping those

656
00:41:55,360 --> 00:42:02,600
Speaker 1: sorts of the simplest solutions. It's yeah, it's it's just

657
00:42:02,760 --> 00:42:07,279
Speaker 1: so straightforward that I think probably most people assume it's

658
00:42:07,320 --> 00:42:10,680
Speaker 1: been tried and failed or something like it. It doesn't

659
00:42:10,920 --> 00:42:14,799
Speaker 1: really makes sense. Could you imagine people like, wait, we

660
00:42:14,880 --> 00:42:19,279
Speaker 1: never tried any of this other stuff? Like well, I

661
00:42:19,360 --> 00:42:26,680
Speaker 1: don't like I think that we right? Oh shit, but

662
00:42:26,880 --> 00:42:31,359
Speaker 1: I mean, like even Joe Biden, he like almost it's

663
00:42:31,360 --> 00:42:33,760
Speaker 1: like a I mean, obviously, no one's gonna like latch

664
00:42:33,760 --> 00:42:35,360
Speaker 1: onto what he said, like we would. But I'm like,

665
00:42:35,440 --> 00:42:38,359
Speaker 1: that's an ad for why you shouldn't be president when

666
00:42:38,400 --> 00:42:40,960
Speaker 1: you're like, these guys are all overworked. They're expected to

667
00:42:41,000 --> 00:42:47,800
Speaker 1: be nurses, cooks, landlords, sociologists, uh e, sports pros, babysitters.

668
00:42:48,080 --> 00:42:50,719
Speaker 1: I mean, we can't do. The solution for this is

669
00:42:50,800 --> 00:42:54,000
Speaker 1: it to take less ship off their plate. It's to

670
00:42:54,120 --> 00:42:57,880
Speaker 1: pay them more money and give them more bang bangs. Yeah,

671
00:42:58,400 --> 00:43:00,560
Speaker 1: like what the fun? You just at it out loud.

672
00:43:00,640 --> 00:43:03,399
Speaker 1: You're like, these guys got too much going on then there,

673
00:43:03,600 --> 00:43:05,440
Speaker 1: then you shouldn't say, well, then they need to be

674
00:43:05,520 --> 00:43:10,400
Speaker 1: more specialized if they're around Yeah, yeah, I mean if

675
00:43:10,440 --> 00:43:13,280
Speaker 1: you want, if you wanna, if you need an archaeologist,

676
00:43:13,480 --> 00:43:15,440
Speaker 1: you want you want them to have a whip and

677
00:43:15,520 --> 00:43:18,680
Speaker 1: a fedora hat to come when they come on the scene.

678
00:43:18,960 --> 00:43:21,560
Speaker 1: So we need to buy whip some fedora hats for

679
00:43:21,640 --> 00:43:24,360
Speaker 1: all these people. Jills looking at the Secret Service, just like,

680
00:43:24,440 --> 00:43:27,600
Speaker 1: what did I say about Indiana Jones tapes before speeches?

681
00:43:28,600 --> 00:43:33,080
Speaker 1: He gets some mixed up, oh man. Famously, all archaeologists

682
00:43:33,600 --> 00:43:37,640
Speaker 1: are not only you know, excavating and usually stealing artifacts

683
00:43:37,800 --> 00:43:43,279
Speaker 1: from indigenous people, but they're also punching people sang and

684
00:43:43,480 --> 00:43:47,160
Speaker 1: following through like three steps. That's how he always punches.

685
00:43:47,440 --> 00:43:51,279
Speaker 1: He punches and then falls forward every It's like, yeah,

686
00:43:51,360 --> 00:43:54,000
Speaker 1: why are you so bad at punching? You punch all

687
00:43:54,040 --> 00:43:57,040
Speaker 1: the time. You punch so much more than anybody. Yeah,

688
00:43:57,120 --> 00:44:00,759
Speaker 1: take a class if you Yeah. Yeah was that because

689
00:44:00,760 --> 00:44:02,640
Speaker 1: Indiana They didn't want to make it seem like he's

690
00:44:02,680 --> 00:44:05,239
Speaker 1: more of a professor. Right, it's not here brawling all

691
00:44:05,239 --> 00:44:06,920
Speaker 1: the time. So if he does, he has to throw

692
00:44:06,960 --> 00:44:10,000
Speaker 1: like a wild punch that you know, well now it's

693
00:44:10,320 --> 00:44:14,520
Speaker 1: it's Harrison Ford across across his films when he is

694
00:44:14,680 --> 00:44:19,239
Speaker 1: actually hero President, he also when he gets in a

695
00:44:19,280 --> 00:44:22,520
Speaker 1: fistfight will punch, fall forward multiple stay. You're right, he

696
00:44:22,920 --> 00:44:24,640
Speaker 1: is actually more to think about it, he is the

697
00:44:24,800 --> 00:44:29,200
Speaker 1: most like goofy dude caught up in the wildest ship

698
00:44:29,480 --> 00:44:32,239
Speaker 1: all the time, like in Clear and President Danger, like

699
00:44:32,320 --> 00:44:34,680
Speaker 1: when they get fucking ambushed, like in that street and

700
00:44:34,719 --> 00:44:37,040
Speaker 1: they're like hitting RPGs on those suburbans and he's like

701
00:44:38,120 --> 00:44:40,239
Speaker 1: it's like a jacket. I remember there's like a scene

702
00:44:40,360 --> 00:44:42,640
Speaker 1: he's running and he's like holding his sleeve weird, and

703
00:44:42,680 --> 00:44:44,520
Speaker 1: it always plugged me as a kid I'm like, bro,

704
00:44:44,640 --> 00:44:47,600
Speaker 1: your jackets a mess, like going in there that he

705
00:44:47,719 --> 00:44:54,239
Speaker 1: was smoking Ryan, Yeah, that like he's so fascinating me

706
00:44:54,360 --> 00:44:59,480
Speaker 1: because he it doesn't it just doesn't make sense to

707
00:44:59,560 --> 00:45:01,480
Speaker 1: me why he works as well as he does. And

708
00:45:01,680 --> 00:45:05,080
Speaker 1: yet like I love watching him on camera and yeah,

709
00:45:05,200 --> 00:45:08,560
Speaker 1: he's an action hero despite the fact that he mainly

710
00:45:08,680 --> 00:45:13,120
Speaker 1: comes off as like a professor who doesn't know how

711
00:45:13,160 --> 00:45:17,759
Speaker 1: to iron his clothes, like he's just and yeah, we

712
00:45:17,920 --> 00:45:20,560
Speaker 1: just we were late. Who is the worst? Is he

713
00:45:20,719 --> 00:45:25,239
Speaker 1: the worst action actor? I would say, I would I'll

714
00:45:25,280 --> 00:45:29,279
Speaker 1: give that to Nicholas Cage. I mean, like, okay, let

715
00:45:29,360 --> 00:45:32,560
Speaker 1: me let me phrase that differently, like if you had

716
00:45:32,600 --> 00:45:35,080
Speaker 1: to call a guy I don't know, Like I feel

717
00:45:35,120 --> 00:45:37,600
Speaker 1: like Harrison Ford an action film fills me with the

718
00:45:37,760 --> 00:45:40,200
Speaker 1: least amount of confidence. I know he gets through it

719
00:45:40,280 --> 00:45:43,719
Speaker 1: in the films, but I'm my god, he's so slippery.

720
00:45:43,840 --> 00:45:47,960
Speaker 1: Up there, you find out that the Academy Awards has

721
00:45:48,000 --> 00:45:52,040
Speaker 1: been taken over by terrorists and one actor is missing

722
00:45:52,600 --> 00:45:55,080
Speaker 1: from the thing, and like you you realize, oh, he's

723
00:45:55,160 --> 00:46:00,200
Speaker 1: loose in the building causing havoc. Who is the one

724
00:46:00,320 --> 00:46:03,400
Speaker 1: I will? I would go the rock or something like

725
00:46:03,640 --> 00:46:05,360
Speaker 1: I was gonna say I would call the Rock or

726
00:46:05,440 --> 00:46:09,320
Speaker 1: Gerard Butler. Yeah, I think it's a good track record

727
00:46:09,840 --> 00:46:12,480
Speaker 1: in his films and looks coordinated. I feel like the

728
00:46:12,640 --> 00:46:16,760
Speaker 1: Rock believes he has superpowers, like legit and like believe

729
00:46:16,920 --> 00:46:19,960
Speaker 1: you know, that'll get him real early in a real situation.

730
00:46:20,200 --> 00:46:23,040
Speaker 1: I feel like he's like his character and the Guy

731
00:46:23,280 --> 00:46:25,719
Speaker 1: or the other guys where he's gonna like jump off

732
00:46:25,760 --> 00:46:29,320
Speaker 1: the building and land three feet sure of the dumpster

733
00:46:30,040 --> 00:46:33,319
Speaker 1: in a pile of goo. No, I see what you're saying, Miles.

734
00:46:33,360 --> 00:46:36,760
Speaker 1: I think that. Yeah, I wouldn't call upon Harrison Ford.

735
00:46:36,880 --> 00:46:39,399
Speaker 1: He's not good at like hand to hand combat. He's

736
00:46:39,440 --> 00:46:43,120
Speaker 1: like he but also, but I think even worse is

737
00:46:43,600 --> 00:46:46,880
Speaker 1: anytime Nicholas Cage is in an action movie, which is

738
00:46:47,400 --> 00:46:51,480
Speaker 1: a lot frequent. Frequently, Jackie cham might be the best guest,

739
00:46:51,640 --> 00:46:56,080
Speaker 1: the best first first, Oh, yeah, because he can actually

740
00:46:56,160 --> 00:46:58,880
Speaker 1: kick ass. He'd probably charmed the pants off of the

741
00:46:59,640 --> 00:47:03,680
Speaker 1: off of terrorists. Yeah, so animated, you know, yeah, yeah,

742
00:47:03,840 --> 00:47:06,759
Speaker 1: just a blast all around. All right, Jackie, we're back,

743
00:47:07,239 --> 00:47:10,600
Speaker 1: all right, Well, let's talk. Let's talk pumpkin spice and

744
00:47:10,680 --> 00:47:14,160
Speaker 1: just pumpkin spice season. You know, football started this past

745
00:47:14,239 --> 00:47:17,800
Speaker 1: weekend I feel like I associate that with pumpkin spice,

746
00:47:18,040 --> 00:47:23,400
Speaker 1: and traditionally there has been a backlash, at least on

747
00:47:23,520 --> 00:47:28,239
Speaker 1: this podcast. Our writer Jam McNabb, well, you know, write

748
00:47:28,280 --> 00:47:32,479
Speaker 1: a story that's like God, everything's pumpkin spice now, dang

749
00:47:32,560 --> 00:47:35,279
Speaker 1: it and creeping up Earlier and earlier, I remember that

750
00:47:35,360 --> 00:47:37,120
Speaker 1: was like the thing we're dealing with the last two years,

751
00:47:37,239 --> 00:47:39,520
Speaker 1: or like, wow, we're really going forward in August, Yeah,

752
00:47:39,960 --> 00:47:43,960
Speaker 1: the opening day of the baseball season means pumpkin spice

753
00:47:45,640 --> 00:47:49,840
Speaker 1: is like where we're heading, right. But anyways, Jam is

754
00:47:50,040 --> 00:47:53,200
Speaker 1: pointing out that this appears to be one of those

755
00:47:53,320 --> 00:47:58,399
Speaker 1: trends and a cultural critic compared it to uggs, which

756
00:47:58,440 --> 00:48:00,640
Speaker 1: I think is actually kind of smart. It's one of

757
00:48:00,680 --> 00:48:04,400
Speaker 1: those trends that when it first hit, we were like, Okay,

758
00:48:04,520 --> 00:48:07,120
Speaker 1: this is a passing fat. This is like dumb, and

759
00:48:07,440 --> 00:48:10,000
Speaker 1: nobody's going to be into this like we're and like

760
00:48:10,160 --> 00:48:13,160
Speaker 1: we tried to put it into the into that context

761
00:48:13,239 --> 00:48:18,120
Speaker 1: of like a I love the twenty teens or whatever,

762
00:48:18,480 --> 00:48:23,360
Speaker 1: like passing cultural fat. Remember remember pumpkin spice lattes, except

763
00:48:23,440 --> 00:48:26,480
Speaker 1: they just like year after year never went away and

764
00:48:27,239 --> 00:48:30,920
Speaker 1: now like nobody's even complaining about them. It's just a

765
00:48:31,080 --> 00:48:34,280
Speaker 1: part of the human condition at this point, they complain

766
00:48:34,360 --> 00:48:40,600
Speaker 1: if there wasn't Yeah. Yeah, and ugs. Similarly, I remember

767
00:48:40,760 --> 00:48:43,480
Speaker 1: when we were like remember uggs, and then a couple

768
00:48:43,480 --> 00:48:45,120
Speaker 1: of years later everyone was like, yeah, no, we all

769
00:48:45,160 --> 00:48:48,160
Speaker 1: just wear ugs now, man, Like that's people still wear ugs.

770
00:48:48,440 --> 00:48:50,680
Speaker 1: I never seen people in ugs anymore. I've seen a

771
00:48:50,760 --> 00:48:54,279
Speaker 1: lot of ugs. I've seen. Yeah, the uggs are and

772
00:48:54,400 --> 00:48:56,720
Speaker 1: they and they came back with a vengeance too. I remember,

773
00:48:56,800 --> 00:48:59,279
Speaker 1: like in high school uggs like we're coming out in

774
00:48:59,440 --> 00:49:02,960
Speaker 1: high school for me, and they were like too expensive,

775
00:49:03,040 --> 00:49:04,600
Speaker 1: so they kind of became like a class thing in

776
00:49:04,680 --> 00:49:06,600
Speaker 1: my high school or like the rich kids, like the

777
00:49:06,760 --> 00:49:10,279
Speaker 1: rich girls had the uggs. And then everyone was like

778
00:49:10,480 --> 00:49:12,360
Speaker 1: a lot of people are like Jesus, they look so

779
00:49:12,760 --> 00:49:15,040
Speaker 1: you just look like you gave up, especially when they're

780
00:49:15,040 --> 00:49:18,080
Speaker 1: all like worn down. And then it passed and then

781
00:49:18,120 --> 00:49:21,560
Speaker 1: I noticed my kid, my friends kids started wearing uggs too,

782
00:49:22,280 --> 00:49:24,960
Speaker 1: and I was like, oh, ship, they're they're never going away.

783
00:49:25,080 --> 00:49:28,359
Speaker 1: They're never going away. Um. But yeah, with pumpkins, I don't,

784
00:49:28,520 --> 00:49:30,359
Speaker 1: I don't know, it's become one. I think like uggs,

785
00:49:30,400 --> 00:49:32,320
Speaker 1: pumpkin spice is one of those things I've lived with,

786
00:49:32,480 --> 00:49:34,560
Speaker 1: but they just it just doesn't resonate with me, so

787
00:49:34,640 --> 00:49:37,239
Speaker 1: I forget that it's a thing. Yeah, nor does it

788
00:49:37,360 --> 00:49:41,719
Speaker 1: bother you, right, Like it's funny when you see how

789
00:49:41,880 --> 00:49:45,560
Speaker 1: much like Starbucks insists that, hey, it's time, like you

790
00:49:45,600 --> 00:49:49,200
Speaker 1: know from their just gross consumer culture standpoint where they're like,

791
00:49:49,239 --> 00:49:51,160
Speaker 1: we gotta sell this ship and guess what it's time

792
00:49:51,200 --> 00:49:55,840
Speaker 1: to buy it now, time you horn get ready for

793
00:49:56,000 --> 00:50:04,080
Speaker 1: it to slap your bodies, creeps, disgusting pumpkin sum dum dumb.

794
00:50:04,239 --> 00:50:08,640
Speaker 1: Here you dump dumb spice for you, dum dum dummy.

795
00:50:08,840 --> 00:50:10,640
Speaker 1: That's what it feels like. And I think that's why

796
00:50:10,680 --> 00:50:12,480
Speaker 1: I don't. I don't sunk with it because I'm not

797
00:50:12,560 --> 00:50:15,239
Speaker 1: letting Starbucks treat me like a dumb dump Yeah. I

798
00:50:15,320 --> 00:50:17,800
Speaker 1: just get mad when they try to pare pumpkin spice

799
00:50:17,920 --> 00:50:23,080
Speaker 1: flavor with something that is a disgusting combination. They're like, oh,

800
00:50:23,440 --> 00:50:27,480
Speaker 1: pump because something's work like a pumpkin spice muffin, fine

801
00:50:27,920 --> 00:50:38,239
Speaker 1: pumpkin spice sour dough bread though not could but exactly, yeah,

802
00:50:38,719 --> 00:50:41,960
Speaker 1: let's go Brandon alright, But they're putting pumpkin spice and

803
00:50:42,040 --> 00:50:44,279
Speaker 1: things that they should not be putting pumpkin spice in

804
00:50:44,360 --> 00:50:47,640
Speaker 1: and that that's what I take issue with. Yeah, you

805
00:50:47,760 --> 00:50:50,440
Speaker 1: just threw your chair across the room. The listeners might

806
00:50:50,520 --> 00:50:54,600
Speaker 1: not have heard that flipped a table. It's interesting. One

807
00:50:54,640 --> 00:50:58,600
Speaker 1: of the things that is new this year is You're

808
00:50:58,760 --> 00:51:03,799
Speaker 1: By is a plant based drink company, and they're introducing

809
00:51:04,040 --> 00:51:07,759
Speaker 1: their first pumpkin spice energy drink just in time for fall.

810
00:51:08,239 --> 00:51:11,600
Speaker 1: And so we have the image from the from I'm

811
00:51:11,640 --> 00:51:14,160
Speaker 1: guessing this is like a print at or still from

812
00:51:14,480 --> 00:51:19,719
Speaker 1: a video, and and they have the energy drink can

813
00:51:20,040 --> 00:51:24,640
Speaker 1: emerging from sort of a word cloud of like or

814
00:51:24,840 --> 00:51:30,080
Speaker 1: not word cloud, but like images that uh, collage of things.

815
00:51:30,160 --> 00:51:34,160
Speaker 1: So you got your cinnamon, you got your pumpkin, you've

816
00:51:34,200 --> 00:51:37,640
Speaker 1: got your fall leaves situation. And then one of them

817
00:51:37,920 --> 00:51:42,520
Speaker 1: is just a Starbucks cup like that is on a side,

818
00:51:42,800 --> 00:51:46,359
Speaker 1: tipped over and spilling in a way that looks weird.

819
00:51:46,480 --> 00:51:50,719
Speaker 1: But like, I guess that's that's correct. That isn't That

820
00:51:50,960 --> 00:51:54,000
Speaker 1: is one that is one of the things we associated with.

821
00:51:54,280 --> 00:51:56,360
Speaker 1: Is is it something where you're like, yo, my I

822
00:51:56,440 --> 00:51:59,400
Speaker 1: need to turn my energy drinks up with pumpkin spice.

823
00:51:59,680 --> 00:52:06,000
Speaker 1: That is not I can't, but I get the baked goods,

824
00:52:06,160 --> 00:52:09,960
Speaker 1: little desserts, but like an energy No, like what I'm saying,

825
00:52:10,200 --> 00:52:13,080
Speaker 1: we don't. They're going to start putting like pumpkin spice

826
00:52:13,239 --> 00:52:17,120
Speaker 1: in like hard salts or flavors, and I'm going to

827
00:52:17,200 --> 00:52:20,960
Speaker 1: be furious. You know that should already exists because there's

828
00:52:21,000 --> 00:52:23,640
Speaker 1: like a pumpkin spice beer and like we already have that.

829
00:52:24,400 --> 00:52:26,680
Speaker 1: That well, I do kind of like a pumpkin spice

830
00:52:26,800 --> 00:52:34,920
Speaker 1: beer shipyard from I think, um, I like that, But

831
00:52:35,000 --> 00:52:37,520
Speaker 1: if I see a pumpkin spice white cloth, I am

832
00:52:37,880 --> 00:52:41,720
Speaker 1: gonna pitch a fit. M You're gonna tell that woman

833
00:52:41,840 --> 00:52:46,200
Speaker 1: to take her Belliage Embre hair do and eugg boots

834
00:52:46,239 --> 00:52:48,719
Speaker 1: and get in her car and drive straight back to

835
00:52:48,840 --> 00:52:53,880
Speaker 1: her church group exactly. But yeah, I don't think anyone says,

836
00:52:53,960 --> 00:52:56,160
Speaker 1: you know, I need my energy drink to feel like

837
00:52:56,600 --> 00:53:01,560
Speaker 1: cozy like that the rainstorming session in there, they're like,

838
00:53:01,640 --> 00:53:03,640
Speaker 1: you know, we should do unless it's again just to

839
00:53:03,760 --> 00:53:06,200
Speaker 1: kind of one of those like marketing things where they're like,

840
00:53:06,320 --> 00:53:08,840
Speaker 1: let's just funk with people and say you want to

841
00:53:08,960 --> 00:53:12,520
Speaker 1: your bo mate based pumpkin spice energy. I mean, your

842
00:53:12,600 --> 00:53:15,799
Speaker 1: ba mate is like kind of like it's a very

843
00:53:15,920 --> 00:53:20,439
Speaker 1: distinct and overwhelming flavor, So I can I can see

844
00:53:21,080 --> 00:53:25,080
Speaker 1: if you are going for your mate like energy drink,

845
00:53:25,440 --> 00:53:28,040
Speaker 1: then maybe you you're just looking to mask that ship

846
00:53:28,600 --> 00:53:31,120
Speaker 1: like in the same way that it works with coffee.

847
00:53:31,600 --> 00:53:36,760
Speaker 1: Martha Stewart made headlines for claiming the pumpkin spice trend

848
00:53:36,960 --> 00:53:41,000
Speaker 1: was for basic bitches only. That's a quote. Who said

849
00:53:41,040 --> 00:53:45,200
Speaker 1: that Martha Steward start the d block Stewart and now

850
00:53:45,320 --> 00:53:52,680
Speaker 1: she's promoting a pumpkin spice coffee. Oh my motherfucker, Martha,

851
00:53:53,760 --> 00:53:55,759
Speaker 1: what are the other inmates in the yard gonna think

852
00:53:55,800 --> 00:53:58,800
Speaker 1: of you? They've also added it to the Merriam Whips

853
00:53:58,920 --> 00:54:02,800
Speaker 1: Webster Dictionary, along with mcgiver as a verb. Just Y,

854
00:54:03,239 --> 00:54:08,600
Speaker 1: pumpkin spice was at pumpkin spices a blend of cinnamon, nutmeg, ginger, clothes,

855
00:54:08,680 --> 00:54:12,560
Speaker 1: and all spice commonly used in pumpkin pie. That noun

856
00:54:13,000 --> 00:54:16,920
Speaker 1: is now mcgiver has a much better case to be

857
00:54:17,040 --> 00:54:20,200
Speaker 1: in the fucking Dictionary as its own thing than pumpkin

858
00:54:20,360 --> 00:54:23,960
Speaker 1: spice because actually needs a definition. But pumpkin spice is

859
00:54:23,960 --> 00:54:27,680
Speaker 1: already pretty self explicing. Yeah yeah, well wait, what is that?

860
00:54:27,880 --> 00:54:32,160
Speaker 1: Is that some kind of computing algorithm pumpkin spice on

861
00:54:32,280 --> 00:54:39,360
Speaker 1: the day of the programmer. Yes day, Yeah, what the fuck?

862
00:54:39,600 --> 00:54:43,560
Speaker 1: So cool? Mcgiver though, shout out to very cool thing

863
00:54:44,160 --> 00:54:46,680
Speaker 1: as I'm gonna try and mcgiver myself a little pumpkin

864
00:54:46,760 --> 00:54:49,320
Speaker 1: spice lat day over here, make a little nutmeg with

865
00:54:49,360 --> 00:54:53,160
Speaker 1: a little cinema. Break it up, dummy, bring it home

866
00:54:53,200 --> 00:54:57,800
Speaker 1: to a James One reference. Yeah, I don't know. I

867
00:54:58,040 --> 00:55:00,560
Speaker 1: I still will fun with a pumpkin spy lat It's

868
00:55:00,600 --> 00:55:02,439
Speaker 1: like a it's a treat, you know, I'll have. I'll

869
00:55:02,440 --> 00:55:05,359
Speaker 1: have one or two a year, and I'll enjoy them

870
00:55:05,560 --> 00:55:07,879
Speaker 1: quite a minute. I only have one thing that I've

871
00:55:08,239 --> 00:55:13,520
Speaker 1: yearned for seasonally, and that's the Winter Dream Latte t

872
00:55:13,800 --> 00:55:17,880
Speaker 1: latte from Coffee Bean because it tastes it tastes like

873
00:55:18,040 --> 00:55:23,120
Speaker 1: a Christmas store plush. Yeah. I love that ship, I'm

874
00:55:23,160 --> 00:55:30,200
Speaker 1: telling you. When it comes around, it's yes, yes, yes, yes, yes,

875
00:55:30,600 --> 00:55:32,480
Speaker 1: that's it. That's the only time I'm like, oh, ship,

876
00:55:32,800 --> 00:55:34,880
Speaker 1: it's that time of year, and again, like you, I

877
00:55:35,000 --> 00:55:37,239
Speaker 1: miss it pretty much every fucking year, and then like

878
00:55:37,760 --> 00:55:40,080
Speaker 1: I forgot about it again. But that is the one thing,

879
00:55:40,160 --> 00:55:42,080
Speaker 1: and you know how I knew it was over for

880
00:55:42,680 --> 00:55:45,640
Speaker 1: all of us and pumpkin spice was winning. Is that

881
00:55:45,800 --> 00:55:50,840
Speaker 1: last year Starbucks started like trimming down the flavored latte

882
00:55:50,960 --> 00:55:53,480
Speaker 1: options that they had at like, I think one of

883
00:55:53,600 --> 00:55:55,680
Speaker 1: one of them was gone last year. I think it

884
00:55:55,960 --> 00:55:58,520
Speaker 1: might have been gingerbread, or it might have been Oh,

885
00:55:58,719 --> 00:56:02,040
Speaker 1: there can only be one Highlander. Christmas tree water, I forget,

886
00:56:02,080 --> 00:56:07,480
Speaker 1: I forget what the flavor was, But Christmas Christmas tree

887
00:56:07,520 --> 00:56:13,200
Speaker 1: stand water is no longer a lottape flavor that ship

888
00:56:13,680 --> 00:56:17,440
Speaker 1: man whatever. Christmas tree. Yeah you know that water like

889
00:56:17,600 --> 00:56:20,040
Speaker 1: on on January seventh, you have left it up a

890
00:56:20,080 --> 00:56:23,680
Speaker 1: little too long. Yeah, yeah, yeah, and pieces of Scotch

891
00:56:23,840 --> 00:56:29,880
Speaker 1: tape in there. Dead. It's insidious dead animals, truly insidious

892
00:56:30,040 --> 00:56:33,920
Speaker 1: malignant to perhaps it might be. And I apologize for that.

893
00:56:34,080 --> 00:56:36,080
Speaker 1: Oh man, you don't want to get that aqua on you, man,

894
00:56:37,320 --> 00:56:44,600
Speaker 1: Oh yeah, I gotta go. Sorry. Caitlin, pleasure as always

895
00:56:44,840 --> 00:56:47,120
Speaker 1: having you. Where can people find you? Follow you all

896
00:56:47,160 --> 00:56:50,440
Speaker 1: that good stuff? You can follow me on Twitter and

897
00:56:50,520 --> 00:56:54,320
Speaker 1: Instagram at Caitlin Durante and give a little listen to

898
00:56:54,440 --> 00:56:59,160
Speaker 1: the Bechtel Cast. I foreshadowed some episodes We've Got in Conto,

899
00:56:59,320 --> 00:57:02,359
Speaker 1: We've Got Um and Malignant on the Matreon so it's

900
00:57:02,480 --> 00:57:07,239
Speaker 1: behind the sorry the Patreon, but if you know, you know, yeah,

901
00:57:07,520 --> 00:57:10,560
Speaker 1: so it's behind the paywall, but you know, get over

902
00:57:10,640 --> 00:57:15,920
Speaker 1: there and yeah that's that's me. Yeah, yeah, fantastic. That

903
00:57:16,080 --> 00:57:19,280
Speaker 1: is there a tweet? Fantastic? Is there a tweet you've

904
00:57:19,320 --> 00:57:23,240
Speaker 1: been joining or some other workup social media? Yes, it

905
00:57:23,720 --> 00:57:28,960
Speaker 1: is from my dear friend and co host Jamie Loftus tweeted,

906
00:57:29,600 --> 00:57:33,600
Speaker 1: beauty businesses are like, Wow, you are so beautiful, but

907
00:57:33,800 --> 00:57:36,000
Speaker 1: unfortunately you look like ship and need to give me

908
00:57:36,040 --> 00:57:43,160
Speaker 1: two at this exact second. It is true, you always

909
00:57:43,200 --> 00:57:46,120
Speaker 1: got to start off. I remember all this and like

910
00:57:46,240 --> 00:57:49,640
Speaker 1: you have fantastic like like your cheekbones and stuff like that,

911
00:57:49,760 --> 00:57:52,320
Speaker 1: and that's great, but it's like it's just so dry everywhere,

912
00:57:53,080 --> 00:57:55,960
Speaker 1: like you're like, whoa fucking just crashed the car right

913
00:57:56,040 --> 00:58:00,920
Speaker 1: right after that compliment before. Really you look like ship.

914
00:58:02,040 --> 00:58:05,320
Speaker 1: You have natural beauty inside that is waiting to come out,

915
00:58:05,560 --> 00:58:09,120
Speaker 1: but right now you look like shit. Sorry, Miles, where

916
00:58:09,120 --> 00:58:11,160
Speaker 1: can people find you? Follow you with a tweet you've

917
00:58:11,160 --> 00:58:14,960
Speaker 1: been enjoying? Oh man, you can find me on Twitter

918
00:58:15,000 --> 00:58:17,120
Speaker 1: and Instagram at Miles and great just and I think

919
00:58:17,440 --> 00:58:21,400
Speaker 1: Jamie's use of looks like shit is I think one

920
00:58:21,440 --> 00:58:24,480
Speaker 1: of the most one of her most potent rhetorical devices

921
00:58:24,640 --> 00:58:29,080
Speaker 1: that she has. It's a big staple in dance. Santa

922
00:58:29,200 --> 00:58:31,760
Speaker 1: looks like it and can't even can't even read yeah,

923
00:58:32,080 --> 00:58:34,680
Speaker 1: but like it hits. So there's a way the timing

924
00:58:34,760 --> 00:58:38,120
Speaker 1: of saying someone looks like shit. It's like, I don't

925
00:58:38,120 --> 00:58:40,240
Speaker 1: think there's a more efficient way to use that, And

926
00:58:40,280 --> 00:58:44,960
Speaker 1: I think that it's like the hard case sounds that

927
00:58:45,160 --> 00:58:48,360
Speaker 1: there's two of them. That's always like a good thing.

928
00:58:48,560 --> 00:58:51,160
Speaker 1: Ship is like a very just punchy word. Yeah, it's

929
00:58:51,440 --> 00:58:54,520
Speaker 1: it's perfect. You look like shit. You know you're not

930
00:58:54,840 --> 00:58:59,680
Speaker 1: You're not sloppy, You're not a fucking you look like ship. Oh.

931
00:59:00,520 --> 00:59:03,040
Speaker 1: I actually want people to say that to me more

932
00:59:03,120 --> 00:59:06,560
Speaker 1: because it's it's music to my ears. Yeah. No, honestly,

933
00:59:07,000 --> 00:59:08,360
Speaker 1: that's why I was like, I want to be dancing

934
00:59:08,480 --> 00:59:10,240
Speaker 1: because I look like shit. I always think it's so

935
00:59:10,320 --> 00:59:12,440
Speaker 1: funny when it says Dan who looks like ship and

936
00:59:12,440 --> 00:59:14,960
Speaker 1: I can't even read? All right, let's move on to

937
00:59:15,120 --> 00:59:17,160
Speaker 1: Oh look, where else can you find this? Miles and

938
00:59:17,240 --> 00:59:20,080
Speaker 1: Jack got mad boost these obviously our NBA podcast and

939
00:59:20,120 --> 00:59:24,800
Speaker 1: if you like, stop by one of the Twitter streams

940
00:59:24,880 --> 00:59:27,320
Speaker 1: for four twenty Day Fiance if you like that, or

941
00:59:27,480 --> 00:59:29,640
Speaker 1: just listen to the podcast with Sophia, Alexandra and I.

942
00:59:30,160 --> 00:59:34,200
Speaker 1: Some tweets that I like. First one is from Ashley Winter,

943
00:59:34,360 --> 00:59:38,200
Speaker 1: m d urologist at Ashley G. Winter tweeted urine is

944
00:59:38,280 --> 00:59:44,480
Speaker 1: not sterile. Stop saying that people, it's not sterile, which

945
00:59:44,640 --> 00:59:48,240
Speaker 1: I don't know what that's yours or what as a

946
00:59:48,360 --> 00:59:51,080
Speaker 1: urologist put them over the edge for that tweet to

947
00:59:51,120 --> 00:59:53,240
Speaker 1: be like, I can't if I got to hear about

948
00:59:53,280 --> 00:59:55,720
Speaker 1: this peb and I thought it was I thought it

949
00:59:56,000 --> 01:00:00,640
Speaker 1: was sterile, but not clean, like it's it's something like

950
01:00:00,760 --> 01:00:04,080
Speaker 1: it doesn't have active live bacteria in it, but it's

951
01:00:04,080 --> 01:00:06,520
Speaker 1: like not good for you. It's like full of all

952
01:00:06,560 --> 01:00:10,800
Speaker 1: the toxins that you're using. Yeah, yeah, yeah, it's like

953
01:00:10,920 --> 01:00:13,920
Speaker 1: a technicality that it got bioed. But wow, it's not

954
01:00:14,040 --> 01:00:18,480
Speaker 1: even sterile. I mean now now I can't believe anything

955
01:00:18,880 --> 01:00:23,120
Speaker 1: the fact that it has tells me how to drink

956
01:00:23,120 --> 01:00:28,000
Speaker 1: your peepee, how to drink like a straw. Okay, let's

957
01:00:28,000 --> 01:00:30,240
Speaker 1: see what else? Did I like? What else? Who else?

958
01:00:30,360 --> 01:00:33,240
Speaker 1: What else? Oh? Then this one from Mike Salana at

959
01:00:33,400 --> 01:00:35,360
Speaker 1: m I C. S O L N. S O. L

960
01:00:35,440 --> 01:00:38,360
Speaker 1: A n A tweeted, My boyfriend is on a plane

961
01:00:38,400 --> 01:00:40,520
Speaker 1: in Miami right now and a bulldog in the road

962
01:00:40,600 --> 01:00:43,640
Speaker 1: next to him just had diarrhea. Everyone freaked out. The

963
01:00:43,760 --> 01:00:47,560
Speaker 1: dog owner began sobbing, and the dog escaped. Now covered

964
01:00:47,600 --> 01:00:50,320
Speaker 1: in pooh, it is running around the plane. People are

965
01:00:50,440 --> 01:00:55,360
Speaker 1: lifting up their legs and screaming. That is my fucking

966
01:00:55,600 --> 01:01:00,640
Speaker 1: nightmare flying with pets and I can happen. Man, give huh,

967
01:01:01,520 --> 01:01:04,439
Speaker 1: what do you it's kind of your dog poop poot

968
01:01:04,480 --> 01:01:08,520
Speaker 1: or someone else dog, my dog, my dog, He's gonna

969
01:01:08,560 --> 01:01:10,840
Speaker 1: boat us out. It's yeah, I think you told this

970
01:01:10,920 --> 01:01:13,680
Speaker 1: one and I was remember like it has a sad story.

971
01:01:13,840 --> 01:01:16,920
Speaker 1: It has said ending. My dog was actually sick for season.

972
01:01:16,960 --> 01:01:20,960
Speaker 1: It didn't last much longer, but it did escape from

973
01:01:20,960 --> 01:01:22,760
Speaker 1: the bag we were carrying it in, run up to

974
01:01:22,880 --> 01:01:27,560
Speaker 1: first class and take a wild, loud diarrhea ship in

975
01:01:28,040 --> 01:01:32,640
Speaker 1: first class, and honestly to us like we had trained it,

976
01:01:32,960 --> 01:01:36,400
Speaker 1: like we had trained her to do that. More people

977
01:01:36,440 --> 01:01:39,560
Speaker 1: should be shooting in the aisles of the first Yeah,

978
01:01:40,280 --> 01:01:44,720
Speaker 1: like the rich what kind of like? Yeah, anti capitalist

979
01:01:44,840 --> 01:01:49,880
Speaker 1: activists at least they're activist dog in here. Yeah, they

980
01:01:49,960 --> 01:01:52,600
Speaker 1: threatened to like turn the plane around on us. It's

981
01:01:52,720 --> 01:01:55,880
Speaker 1: very upsetting. Oh my god, I can that's my worst

982
01:01:56,080 --> 01:01:58,680
Speaker 1: because I'm also like when I've been in planes where

983
01:01:58,680 --> 01:02:01,040
Speaker 1: like a dog is taking a ship and you're like, dude,

984
01:02:01,080 --> 01:02:04,240
Speaker 1: the place are like, what the fuck your dogs taking

985
01:02:04,280 --> 01:02:07,000
Speaker 1: a ship in here? Like what I didn't I'm not overpaying.

986
01:02:07,080 --> 01:02:09,840
Speaker 1: But then also smell dog shit. So when I had

987
01:02:09,920 --> 01:02:13,600
Speaker 1: my dog, damn, I was a fucking nervous rap. I

988
01:02:13,680 --> 01:02:17,560
Speaker 1: was like, we don't do anything ship because it's it

989
01:02:17,720 --> 01:02:20,080
Speaker 1: is such a nightmare because you are taking them to

990
01:02:20,200 --> 01:02:24,360
Speaker 1: a place that is very like nervous, like nervous energy

991
01:02:24,480 --> 01:02:27,720
Speaker 1: inducing and so like. And you the last time they

992
01:02:27,760 --> 01:02:29,920
Speaker 1: pooped was like an hour and a half before you

993
01:02:30,200 --> 01:02:33,360
Speaker 1: even get on the plane, because there's not really great

994
01:02:33,400 --> 01:02:38,000
Speaker 1: places from the poop inside the terminal. It's it's a lot. Man.

995
01:02:38,080 --> 01:02:40,320
Speaker 1: You gotta use my method. Don't give them food or

996
01:02:40,400 --> 01:02:44,000
Speaker 1: water for the three days prior to the right like

997
01:02:44,160 --> 01:02:47,360
Speaker 1: that really, and they'll be so and their and their

998
01:02:47,480 --> 01:02:50,400
Speaker 1: energy levels naturally declines through some of the calories. It

999
01:02:50,440 --> 01:02:53,760
Speaker 1: works for everybody, damn. All right. You can find me

1000
01:02:53,880 --> 01:02:58,320
Speaker 1: on Twitter at Jack Underscore O'Brien uh tweet. I've been

1001
01:02:58,440 --> 01:03:03,919
Speaker 1: enjoying hands them be charming, tweeted NFL trainer whispering into

1002
01:03:04,000 --> 01:03:06,920
Speaker 1: the ear of injured player, get the funk up right now.

1003
01:03:07,000 --> 01:03:20,640
Speaker 1: You're embarrassing me because they are always whispering. I love

1004
01:03:20,680 --> 01:03:23,760
Speaker 1: It's always funny too, because sometimes I know a soccer

1005
01:03:24,040 --> 01:03:25,960
Speaker 1: when they go down, sometimes they kill times, so like

1006
01:03:26,240 --> 01:03:28,680
Speaker 1: the trainer has to figure out if they're actually hurt

1007
01:03:28,760 --> 01:03:30,240
Speaker 1: when they're talking, And I was like, what do they

1008
01:03:30,280 --> 01:03:36,760
Speaker 1: say to each other? Right, Yeah, you're embarrassing. You can

1009
01:03:36,840 --> 01:03:40,160
Speaker 1: find me on Twitter at Jack Underscore O'Brien. You can

1010
01:03:40,200 --> 01:03:42,680
Speaker 1: find us on Twitter at Daily Zeitgeist. Were at the

1011
01:03:42,800 --> 01:03:45,479
Speaker 1: Daily Zeitgeist on Instagram. We have a Facebook fan page

1012
01:03:45,480 --> 01:03:48,360
Speaker 1: and website Daily zeitgeist dot com where we post our

1013
01:03:48,440 --> 01:03:52,160
Speaker 1: episodes on our foot Nope, the information that we talked

1014
01:03:52,200 --> 01:03:54,080
Speaker 1: about in today's episode, as well as a song that

1015
01:03:54,160 --> 01:03:57,400
Speaker 1: we think you might enjoy. Hey, Miles, what's the song

1016
01:03:57,520 --> 01:04:00,880
Speaker 1: that we think people might enjoy? I think the people

1017
01:04:01,000 --> 01:04:04,880
Speaker 1: will enjoy this track from the Ha Ha Sounds collective,

1018
01:04:05,400 --> 01:04:10,919
Speaker 1: and this is featuring Letitia Sadier on vocals. It's called

1019
01:04:11,040 --> 01:04:13,560
Speaker 1: Ha Ha Sounds. It's called Silk Rock is the name

1020
01:04:13,560 --> 01:04:16,160
Speaker 1: of the track. Silk rock and they're like a thirty

1021
01:04:16,280 --> 01:04:20,600
Speaker 1: plus person group basically, but they play like the huge

1022
01:04:20,680 --> 01:04:23,600
Speaker 1: arrangements that if you're like into sample based like hip

1023
01:04:23,640 --> 01:04:25,360
Speaker 1: hop or like old blue note jazz and stuff. You

1024
01:04:25,360 --> 01:04:27,400
Speaker 1: may have heard of David axel Rod who's like made

1025
01:04:27,440 --> 01:04:29,600
Speaker 1: a ton of songs that are like the foundation of

1026
01:04:30,680 --> 01:04:34,800
Speaker 1: infinite amount of rap songs. This sounds like David axel

1027
01:04:34,880 --> 01:04:37,920
Speaker 1: Rod's work and it's like really kind of trippy and

1028
01:04:38,040 --> 01:04:40,560
Speaker 1: ethereal with the vocals. It's really dope and it's got

1029
01:04:40,600 --> 01:04:42,600
Speaker 1: a little bit of you know, a little rhythm to

1030
01:04:42,720 --> 01:04:44,640
Speaker 1: it too. So this is Silk Rock by the Ha

1031
01:04:44,840 --> 01:04:47,080
Speaker 1: Ha Sounds Collective, and this isn't apparently this is a

1032
01:04:47,160 --> 01:04:49,600
Speaker 1: new group. This album came out in twinter. This single

1033
01:04:49,680 --> 01:04:51,880
Speaker 1: came out like a year or two ago, So enjoy

1034
01:04:51,960 --> 01:04:54,360
Speaker 1: that alright. Well, The Daily is like Gus is a

1035
01:04:54,400 --> 01:04:56,720
Speaker 1: production by Heart Radio. For more podcast from my Heart

1036
01:04:56,800 --> 01:04:59,400
Speaker 1: Radio visits the I Heart Radio app, Apple podcast, or

1037
01:04:59,440 --> 01:05:01,320
Speaker 1: wherever you look your favorite shows. That's going to do

1038
01:05:01,360 --> 01:05:03,720
Speaker 1: it for us this morning, back this afternoon to tell

1039
01:05:03,720 --> 01:05:05,120
Speaker 1: you what is trending and we will talk to you

1040
01:05:05,160 --> 01:05:10,960
Speaker 1: all don bye bye bye m h