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Speaker 1: The water in an ice cream Pala really, Oh yeah,

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Speaker 1: it hits different folks, and that's how I took Pala.

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Speaker 2: You sound like my baby who's starting to say car

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Speaker 2: right now, but he's mad with like he's only good

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Speaker 2: with one syllables.

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Speaker 1: He's like, ca, yeah, Boston, your baby. Yeah, all right,

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Speaker 1: we're going to get the Cali the Pali. He also

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Speaker 1: calls me Pali for Pali. He calls me Pa.

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Speaker 2: All right, Pa, all right, Pa, alright, twenty five dollar

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Speaker 2: twenty five for you Pa.

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Speaker 1: Hello the Internet, and welcome to season three, forty nine,

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Speaker 1: Episode four of It's a production of by Heart Radio,

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Speaker 1: and it's a podcast where we take a deep dive

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Speaker 1: into America share consciousness. And it's Thursday, August first, twenty

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Speaker 1: twenty four. It's August. Shit, get it you guys. Shit,

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Speaker 1: it's already August.

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Speaker 2: I told November to take their fucking time, and it's

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Speaker 2: fucking August.

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Speaker 1: Get your shit together, calendar. Well, August first is Respect

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Speaker 1: for Parents'.

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Speaker 3: Day, National Raspberry Cream Pie Day, Minority Donor Awareness Day,

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Speaker 3: which is actually important, National Girlfriend's Day, and International Majong.

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Speaker 2: Day for all of mine, people who played a rich day.

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Speaker 1: Lots of different important things, specifically my girlfriend who you

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Speaker 1: haven't met, but she is cool and lives in Canada.

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Speaker 2: It's not about made up girlfriends from junior high. This

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Speaker 2: is about I think friendship between okay girl friend.

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Speaker 1: Yeah. Yeah, like the way that my mom talks about

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Speaker 1: her friends as her girlfriends. Yeah.

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Speaker 2: Do you remember hearing that the first time as a

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Speaker 2: kid and you're like, dude, what, oh my god? Yeah, freak,

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Speaker 2: I'm fucking I'm seven and I only know one definition

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Speaker 2: that means romantic partner.

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Speaker 1: Yeah that's I was like, wait, Auntie, I'm like, Auntie,

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Speaker 1: Mutsie's your girlfriend. She's like, no, that's just shut up. Yeah,

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Speaker 1: maybe he's just a girl that is my friend. Shout

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Speaker 1: out Alicia Keys. Shout out Alicia Keys. My name is

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Speaker 1: Jack O'Brien. AKA, hey, I just sat here. My name's

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Speaker 1: j D. This glove is rubber, so fuck me. Maybe

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Speaker 1: that one courtesy of the Great Christy I'm a Gucci

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Speaker 1: Man on the discord a song sung two a Couch

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Speaker 1: from JD Vance. I like the way he's kind of

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Speaker 1: being coy in the way he's approaching the couch. Yeah. Maybe, yeah,

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Speaker 1: I just this love is here and it's rubber. In

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Speaker 1: case you think enough already with the jd Vance couch stuff.

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Speaker 1: He seems like he might be leaning into it or

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Speaker 1: I don't know, We're going to get into it a

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Speaker 1: little bit later, but it does seem to be having

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Speaker 1: an impact. He's certainly aware. Yeah, he's certainly aware. He

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Speaker 1: might be trying to lean into it and just you know,

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Speaker 1: in typical jd Vance fashion, doing it awkwardly and badly

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Speaker 1: the wrong way. Yeah, but yeah, But anyways, I'm thrilled

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Speaker 1: to be joined as always by my co host, mister

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Speaker 1: Miles Gray.

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Speaker 4: Miles Gray, A kay, but I'm a beep. I'm a

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Speaker 4: weird What the hell am I doing here? There ain't

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Speaker 4: no couch.

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Speaker 2: Shout out to Steaming Chuck on the discord. We are

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Speaker 2: a weep and we are a weirdo, aren't we, folks?

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Speaker 2: Steaming Chuck, thank you for that the stuff. What do

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Speaker 2: you yeah, how do you.

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Speaker 1: Think JD Vance's karaoke song selection changed over the course

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Speaker 1: of you know, his from when he first came onto

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Speaker 1: the national scene in twenty sixteen to now. You know,

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Speaker 1: he's probably like all Toby Keith now, but I bet

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Speaker 1: he was a creep back in the day, you know,

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Speaker 1: he seemed like he had some self loathing going on. Anyways, Miles, Yes,

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Speaker 1: we are thrilled, fortunate, blessed to be joined in our

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Speaker 1: third seat by a very talented writer, stand up comedian,

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Speaker 1: one of our favorite guests, co host of The Bechdel Cast,

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Speaker 1: one of the great film podcasts. They also happen to

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Speaker 1: have a master's degree in film. The most anagrammable name

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Speaker 1: in the English language, so if you've been given their

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Speaker 1: name in a jumble of out of order scrabble tiles,

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Speaker 1: you might know them as lorn and d Titanic or

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Speaker 1: nine tit Dracula or Latin dancer ut I. But to us,

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Speaker 1: they will always be Caitlind.

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Speaker 5: I'm back, Yes, you are you back?

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Speaker 1: Thank you so much. Oh my god, thank you so

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Speaker 1: much for being here.

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Speaker 6: Oh my gosh. Nothing's up, down up, suspiciously. Yeah, nothing's

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Speaker 6: at that normal over here. Yeah, paid no attention when.

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Speaker 1: You fucking leave me alone? Man, Next question, Urana, Yeah, yeah,

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Speaker 1: what what's good? We were talking Titanic sequels before before

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Speaker 1: the show started and were shocked. I was personally flabbergasted

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Speaker 1: to find that these obscure Titanic sequels were films that

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Speaker 1: you were familiar with. Well, are you really that shocked

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Speaker 1: about that? Also taken up back, calling them Titanic sequels

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Speaker 1: is a bit of a stretch because they're not sequels

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Speaker 1: to James Cameron's Titanic nineteen ninety seven, for example, But

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Speaker 1: they are. I mean, I guess if you're just looking

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Speaker 1: at Titanic as a cinematic universe, which you could I do.

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Speaker 1: So they're you know, they're in the lexicon, they're they're

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Speaker 1: they're in the zeitgeist. Will But the first see, the

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Speaker 1: first film that we're talking about, was called Titanic two,

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Speaker 1: so that does make it seem that implied, but it's no,

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Speaker 1: it's just that it's named after the ship featured in

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Speaker 1: that movie, the ship, because it's a replica of the

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Speaker 1: original Titanic. God damn, that just blew my mind. In

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Speaker 1: in universe, it's.

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Speaker 7: Titanic too, exactly. How about that? Amazing?

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Speaker 1: And in universe they for whatever reason called it Titanic two,

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Speaker 1: starring Leonardo DiCaprio in universe Billy Zane's Titanic two. By

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Speaker 1: all right, Caitlin, we are going to get to know

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Speaker 1: you a little bit better in a moment. First, we're

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Speaker 1: going to tell the listeners. A couple of the things

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Speaker 1: that we're talking about on today's episode. We're going to

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Speaker 1: get into the deep steaks, folks. That's the next big event,

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Speaker 1: is the thing that a lot of people are speculating about.

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Speaker 1: There are betting markets happening. So we just want to

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Speaker 1: talk about the stakes and who Kamala is going to pick,

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Speaker 1: and you know, who she should pick. We're going to

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Speaker 1: talk about it, and maybe who she shouldn't. I don't know.

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Speaker 1: We're going to check in with the weirdness. Yeah, the

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Speaker 1: just how jd Vance is dealing with being the vice

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Speaker 1: presidential candidate. Yeah, we need him cool, calm and collected.

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Speaker 1: He's just yeah, you know, it is now officially the

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Speaker 1: main story of the Trump campaign is like, Wow, that

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Speaker 1: was a bad VP pick, and so he is not

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Speaker 1: dealing super well with that. We'll talk about that. We'll

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Speaker 1: talk about his childless cat lady.

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Speaker 6: Thing right here.

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Speaker 1: Yeah, I mean, along with a lot of the country

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Speaker 1: are child cats. Yeah, and fucked up. Not a good pick.

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Speaker 7: We might talk about this Netflix interview show starring dead

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Speaker 7: people that I have a lot of questions about. Basically,

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Speaker 7: it's like we interview someone right before they die.

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Speaker 1: Oh wait, that's like the production. That means, Yeah, that's

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Speaker 1: like the thesis of the shows we present to you.

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Speaker 1: The last interview somebody did before they die. That's pretty

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Speaker 1: grim and how metal. How like the booking job. This

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Speaker 1: has to be the hardest show. Like, how are you

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Speaker 1: approaching people? How long does miss Lansbury have to live? Right,

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Speaker 1: we'll check back in a couple of months. We were hoping.

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Speaker 1: She was like right there.

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Speaker 6: You know, you know those like in like retirement communities

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Speaker 6: or nursing homes, there will be like a cat speaking

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Speaker 6: of cats. Yes, they'll like sense that someone's about to die,

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Speaker 6: and then they like go into their room and like

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Speaker 6: wait for a couple of hours. Maybe they like follow

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Speaker 6: the cat.

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Speaker 1: Yeah, and then yeah, a little bit of yeah.

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Speaker 6: And they're like, oh, they went into this person's room,

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Speaker 6: let's interview them, and then like an hour later they die.

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Speaker 1: Yeah. I like that. I like that. Yeah, I mean

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Speaker 1: that's and if they did that that would be compelling.

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Speaker 1: That would be really good TV. Yeah, So anyways, we'll

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Speaker 1: talk about that the cat of death. We follow the

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Speaker 1: cat through an old folks home and interview the person

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Speaker 1: they think will die. All of that plenty more. But

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Speaker 1: first Kitlyn. We do like to ask our guests, what

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Speaker 1: is something from your search history that's revealing about who

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Speaker 1: you are?

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Speaker 6: Okay? So I googled Heaven's Gate Old, yes, because because

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Speaker 6: I was like, I let me just tell you the story.

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Speaker 6: Let me back up a minute ago.

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Speaker 1: I bet you're wondering how Caitlin got to the search

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Speaker 1: history record scratch. There was a duop.

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Speaker 2: Group on every street court, So where do we start

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Speaker 2: this one?

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Speaker 6: Okay?

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Speaker 1: Sorry, so no, I love that search history story.

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Speaker 6: Wow, I love that Deadpool is a verb.

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Speaker 1: Okay.

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Speaker 6: I was watching the movie The Fabulous Four, which is

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Speaker 6: in theaters currently. If you're not familiar, it is basically

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Speaker 6: book Club, except Susan Sarandon is in at this time

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Speaker 6: in Staph Jane Fonda. It's four older women going on

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Speaker 6: a vacation. So it's it's that genre of movie which

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Speaker 6: I'm usually not very interested in, but I was like,

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Speaker 6: maybe I should just like give it a shot. Whatever,

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Speaker 6: So I want to go see it. It's horrible and

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Speaker 6: all of the jokes fell flat for me, and yeah,

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Speaker 6: I imagine that. Yeah, the writing was not good. And

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Speaker 6: they keep referring to this retirement community called Heaven's Gate

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Speaker 6: that like this one woman's daughter's urging her to like

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Speaker 6: go to even though it like nothing would indicate that

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Speaker 6: she would need to do that at this juncture in

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Speaker 6: her life. But she's like super religious and she's like, mom,

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Speaker 6: you should go to this. The daughter is who's urging

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Speaker 6: her to go, and so she's like, go to this

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Speaker 6: like Christian retirement community. It's called Heaven's Gate, and you

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Speaker 6: like see the broke sure and all this stuff, and

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Speaker 6: so they keep talking about it, and it's so it's

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Speaker 6: clearly setting up a joke that it's like, no, it's

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Speaker 6: a cult. It haven't you heard of the cult? But

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Speaker 6: they never make that joke. So I was like, am

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Speaker 6: I imagining things? And so like in the middle of

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Speaker 6: the theater, which I was in basically not exactly by myself,

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Speaker 6: but I was far enough back that I was like,

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Speaker 6: I feel okay about.

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Speaker 1: You could have heard that the flap top and it

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Speaker 1: would have been okay, right, So.

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Speaker 6: I pull up my phone. I was like, Heaven's Skate

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Speaker 6: is a cult, right, Like why wouldn't they like make

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Speaker 6: this connection, make this joke. Sure enough, it is a cult,

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Speaker 6: it's correct.

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Speaker 2: So you thought they were like fucking with your sense

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Speaker 2: of reality because they weren't paying off this reference to

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Speaker 2: heav Yeah.

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Speaker 6: I was like, well, maybe it's called something else. Maybe

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Speaker 6: I'm confusing it with another thing, Like yeah, so that's

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Speaker 6: how much this movie was trying to gaslight me.

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Speaker 1: Yeah.

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Speaker 7: Looks by the way, like, yeah, truly have the tracksuits right?

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Speaker 1: The tracksuits with they had to stop making What were

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Speaker 1: the nikes? Were they? They?

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Speaker 2: They they looked like a Cortes but there but it's

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Speaker 2: not a Cortes. It's they're called decades Okay, Yeah, and

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Speaker 2: they I'm pretty sure they stopped making them because everyone

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Speaker 2: was rocked. They're like, we don't need this endorsement for

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Speaker 2: the sneaker. Yeah, total dad chew.

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Speaker 7: So it's probably a studio note, like they had a

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Speaker 7: joke in there, and then the studio was like, this

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Speaker 7: is a little bleak for people, for an audience we're

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Speaker 7: aiming for who is about to die.

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Speaker 2: But did the heavens like did they ever go to

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Speaker 2: the retirement home? And it had culty vibes, so it

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Speaker 2: felt like.

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Speaker 6: Okay, doesn't end up being like a plot point or anything,

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Speaker 6: but they are talking about it enough and the movie

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Speaker 6: is attempting to be a comedy, so you would think

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Speaker 6: that they would work that joke in there, right, but

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Speaker 6: they just don't do it. Yeah, just check out something.

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Speaker 1: But you could make the same joke and do like

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Speaker 1: Heaven's waiting room or Heaven's lobby or you know what

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Speaker 1: I mean, like something where it's like you're about to

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Speaker 1: the pearly Gates because you but you can't. You may

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Speaker 1: not call it Heaven's Gate without us expecting you to

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Speaker 1: eventually talk about Marshall apple White, the cult leader who

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Speaker 1: got everybody that killed themselves after castrating himself. I remember,

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Speaker 1: they're going to catch you right on hillbop, Yeah, hell bop.

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Speaker 1: Like they had such rich lore, like it was really

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Speaker 1: a fun world building.

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Speaker 2: Man, Maybe they could have taken a note from the

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Speaker 2: cult and did the little fucking world building.

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Speaker 1: Than seriously, right man? Anyways, the Fabulous Four? Is that

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Speaker 1: what we're calling what the film was that?

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Speaker 6: Yeah, not to be confused with The Fantastic Four.

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Speaker 2: Yes, yes, did you watch speaking of those like sort

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Speaker 2: of like late in life comedies, did you watch the

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Speaker 2: one about Tom Brady.

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Speaker 6: Eighty for Brady?

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Speaker 1: I did not see that one, okay, because that feels

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Speaker 1: like sort of firmly in this genre.

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Speaker 6: Yes, yeah, and Jane Fonda is in most of these movies,

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Speaker 6: so it's kind of wild that you.

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Speaker 7: Could against fabulous. I'm fabulous for anything. It's fucked up,

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Speaker 7: it is fucked up. I do feel like eighty for

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Speaker 7: Brady did pretty well and became a like thing that

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Speaker 7: people reference in the culture and the culture of very

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Speaker 7: old people. And the studio note was like, we need

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Speaker 7: to put like a number in the title for this

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Speaker 7: next one, you know what I mean. Like, I feel

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Speaker 7: like that I'm seeing a lot of studio fingerprints all

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Speaker 7: over this one, right right, Yeah, feels feels cynical to me.

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Speaker 7: It doesn't feel like real art. The working title was

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Speaker 7: an ornie for tom just maybe dial that back a

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Speaker 7: little bit.

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Speaker 1: Let's dial it back. What, Caitlyn, what's something you think

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Speaker 1: is underrated?

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Speaker 6: So imagine this. All of my things are movie related.

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Speaker 6: Something I think is if you want to see a

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Speaker 6: movie about an old person that's really good and fun,

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Speaker 6: go check out Thelma. And I say that it's like,

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Speaker 6: I feel like I put it in the underrated category

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Speaker 6: just because, like I think a lot of people haven't

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Speaker 6: seen it or aren't talking about it. It's a movie

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Speaker 6: about an old woman. She's like ninety one or something

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Speaker 6: played by someone whose name I should already know.

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Speaker 1: June Squib Yes, oh joom squib.

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Speaker 5: I m j Yeah, and it's about It's like she

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Speaker 5: gets kind of duped by a phone scammer and then

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Speaker 5: decides she's gonna get her money back, so she goes

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Speaker 5: on this like quest to get her money back, and

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Speaker 5: there's like a lot of mission impossible, like spy espionage type.

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Speaker 6: Yeah, it was super fun and highly recommend people go

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Speaker 6: see Thelma.

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Speaker 1: Okay, yeah, and uh, the late Richard Tree is also

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Speaker 1: in it.

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Speaker 6: Did he recently die?

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Speaker 1: Yeah? Yeah?

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Speaker 6: Oh my goodness.

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Speaker 1: Yeah rip, Yeah, this is getting incredible reviews. June squib

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Speaker 1: one of our finest. June Squib was like kind of

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Speaker 1: not discovered late, like she was a working actor, but

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Speaker 1: like is having her big breakthrough kind of later in

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Speaker 1: the Squibs Squibs. Yes, we were all living through the Squibbistance. Yes,

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Speaker 1: I love that. What else has June squib been in

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Speaker 1: my Internet? Has stopped working for anything except this?

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Speaker 2: I remember she was definitely in Hubie Halloween because she

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Speaker 2: was Hubie's mom.

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Speaker 1: Okay and hub Halloween. I remember that part we can

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Speaker 1: stop it, Hue that was what her fine work in

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Speaker 1: uh Nebraska? Yeah? What was she in about Schmidt? She

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Speaker 1: was yes, okay, yeah, yeah. I think that was like

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Speaker 1: one of her early roles. But she wasn't an animal Kingdom,

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Speaker 1: was she? I didn't.

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Speaker 2: I don't think, Yeah, the most unsatisfying it. I'm not

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Speaker 2: gonna look it up. But if you feel strongly about it,

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Speaker 2: I won't push back.

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Speaker 1: Sure, go with it. What is something, Caitlin you think

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Speaker 1: is overrated?

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Speaker 6: Another movie?

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Speaker 1: Long Legs, Long Legs.

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Speaker 6: Sorry, everyone, but.

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Speaker 1: Here's the thing, back to back Long Legs takes on

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Speaker 1: the show this week?

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Speaker 6: Oh wait what what? What else was saying?

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Speaker 1: Yesterday's guests were like it just check it out.

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Speaker 2: It's fine, it's fun. Don't look into it too much.

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Speaker 2: If you like horror, great watch it.

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Speaker 1: Boom.

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Speaker 2: It wasn't like sort of like a like a full

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Speaker 2: endorsement like this is the greatest thing. It's like, but yeah,

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Speaker 2: it's fun, it's just watch it.

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Speaker 6: I mean, I think it is worth the watch for

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Speaker 6: some of the things.

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Speaker 1: And don't got ajust, you got your own do you

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Speaker 1: know your own opinion? Is it fucking bullshit?

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Speaker 6: I thought it was really good until about the midpoint,

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Speaker 6: and then it lost me, but I thought, I mean,

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Speaker 6: it's an effective horror thriller. I was, I was feeling

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Speaker 6: on edge the tensions there, but I think it gets

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Speaker 6: really goofy world building wise about halfway through and then

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Speaker 6: it completely lost me. So it was I was just

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Speaker 6: trying to do too much. So I feel like it

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Speaker 6: didn't live up to the hype.

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Speaker 7: What.

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Speaker 2: Yeah, I just remember I felt like everyone was like,

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Speaker 2: oh I saw it, more than like, oh, it's the

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Speaker 2: best movie I've seen. Like, I felt like a lot

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Speaker 2: of people were just like yeah, I saw it, and it.

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Speaker 1: Was like, yeah, it was cool. Yeah.

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Speaker 6: I guess now like when the early reviews were coming out,

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Speaker 6: you were I was like hearing things like I ship.

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Speaker 1: My pants, get ready ship your pants. I know how

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Speaker 1: to move to change them. Yeah.

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Speaker 6: Part of the marketing was the lead actor, whose name

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Speaker 6: I also don't.

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Speaker 1: Know, Nicholas Yep, forgotten. I got this one, this one

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Speaker 1: Micah Monroe.

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Speaker 6: Yes, yes, there was this clip of her approaching Nicholas

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Speaker 6: Cage's character for the first time in the scene like

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Speaker 6: she hadn't seen him in his makeup like in character

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Speaker 6: until she was like as long as long legs. And

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Speaker 6: also my letterboxed review for this movie was like, his

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Speaker 6: legs weren't even that.

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Speaker 1: Long, misleading. It does play into your favorite format of

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Speaker 1: film review about radioactive Yes, but he was named after

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Speaker 1: a dang spider, you know.

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Speaker 2: Oh but in the trailer, yeah, they are being like

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Speaker 2: one hundred percent on rotten tomatos. They are definitely needing

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Speaker 2: it to be like flawless Victory, And I would.

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Speaker 6: Say that is incorrect in my humble, yet expert film opinion.

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Speaker 7: Your victory long legs just fucked your whole ship up.

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Speaker 1: It made you, made you ship in your pants and

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Speaker 1: we're not paying for new pants. Guys being so mean

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Speaker 1: to us wick at you you ship your pants and

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Speaker 1: everybody himself? What what? Why are you? Are you so freddy?

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Speaker 1: This is like already already horror film. Yeah, but I'll

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Speaker 1: tell you one thing. It has long legs. At the

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Speaker 1: box office, I had to say, still earning, still earning.

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Speaker 1: It's neons top top film of all time.

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Speaker 6: So oh okay, yeah, all right, good for well, I

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Speaker 6: mean good for that for them, it's worth seeing. I

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Speaker 6: just don't.

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Speaker 1: Yeah, it's not.

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Speaker 6: It deserves quite all the hype that.

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Speaker 1: Flawless score. Go watch Blake Wexler's stand up special daddy

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Speaker 1: long legs and yeah, okay, yeah, how about that? Support

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Speaker 1: local artists?

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Speaker 7: How about that? Okay, you want to support local artists.

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Speaker 7: You want to support long legs.

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Speaker 2: Yeah, you want to support long about a daddy is

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Speaker 2: daddy too with long legs, not some NEPO baby named Nicholas.

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Speaker 1: Yes, right, I'm gonna hear your uncles.

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Speaker 8: Really making a scene on set to the nick. Oh

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Speaker 8: did you read that report?

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Speaker 2: I remember when we were first talking about Megalopolis and

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Speaker 2: how he was like being fucking like he was touching

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Speaker 2: women and trying to kiss them during like the block

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Speaker 2: and all type scenes. Wait, yeah yeah yeah, And now

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Speaker 2: like more reporting has come out to be like, yeah,

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Speaker 2: I think a video is coming, he has sex grip gross,

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Speaker 2: I'm just trying to get him in the mood.

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Speaker 1: You're like, dude, this isn't sixty two, right, and that

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Speaker 1: also wasn't appropriate. Yeah, yeah, but that's how we did things.

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Speaker 1: You're like, yeah, well, you know we've moved along. He's like,

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Speaker 1: dear lord, I sold a whole fingyard for this.

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Speaker 7: All right, right, let's take a quick break and we'll

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Speaker 7: come back talk about deep steaks, and we're back. We're back,

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Speaker 7: and what's going on?

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Speaker 1: So there's presidential's going on president you know, and while so.

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Speaker 2: My question is call me Marvin Gay because I'm about

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Speaker 2: to ask, what's what's going on? Exactly one of the

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Speaker 2: great albums, flawless album actually.

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Speaker 1: But the polls, look, here's what's going on. Just made

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Speaker 1: you ship your whole love this. The polls look much

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Speaker 1: better for Harris than Biden.

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Speaker 2: There's that the numbers seem to show that she's closing

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Speaker 2: the gap between her and Trump. She also had a

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Speaker 2: pretty enthusiastic crowd in Atlanta on Tuesday night, like an

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Speaker 2: actual arena, was like was filled with people that real

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Speaker 2: hear yeah, that were real people that were cheering sincerely,

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Speaker 2: and there was a speech that had full sentences and

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Speaker 2: no meandering and no sundowning. So comparatively, I'm like, wow,

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Speaker 2: this is they got something going here. So the vibes

409
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Speaker 2: are up, but they can be destroyed just as quickly,

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Speaker 2: since the VP pick is sort of the last step

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Speaker 2: to cementing the ticket and so there's a lot of like,

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Speaker 2: who's it going to be? Is a Jamie Pritzkers, Gretchen Whitmer,

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Speaker 2: is it Secretary Pete Buotages, is it Governor Tim Waltz

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Speaker 2: of Minnesota, Governor Joshapiro of Pennsylvania, or Senator Mark Kelly

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Speaker 2: of Arizona.

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Speaker 1: Those last three seemed to be the ones that the

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Speaker 1: media is really.

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Speaker 2: Kind of dialing in on, and they all offer different

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Speaker 2: things to the camp PA, Like Waltz gets you a

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Speaker 2: lot more young people and progressives, and he's got like

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Speaker 2: a you know, a style of speaking to people that

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Speaker 2: appeals to like, like from what they see like swing

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Speaker 2: state voters.

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Speaker 1: Mark Kelly has like border and immigration cred on top

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Speaker 1: of being a yes and astronaut.

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Speaker 2: And Shapiro has a sixty percent approval rating in one

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Speaker 2: of the more important swing states that Harris needs to

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Speaker 2: win the electoral college and one of the states that

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Speaker 2: she's performed underperforming in that is I think they're looking

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Speaker 2: at like, oh, that could help shore things up. And

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Speaker 2: there's a lot of chatter now about Shapiro because it's

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Speaker 2: sounds like Harris will be announcing her pick.

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Speaker 1: Next week in Philadelphia, so a lot of people are like, oh,

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Speaker 1: maybe the maybe.

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Speaker 8: That means the governor of that state where you're gonna

436
00:25:46,880 --> 00:25:48,040
Speaker 8: be announcing the pick.

437
00:25:48,359 --> 00:25:50,960
Speaker 2: But apparently the aides have told the press like don't

438
00:25:50,960 --> 00:25:53,879
Speaker 2: look into the location too much. It's just like just

439
00:25:53,920 --> 00:25:56,399
Speaker 2: like a focal point to begin this tour of you know,

440
00:25:56,440 --> 00:25:58,040
Speaker 2: some of the swing states that they need to hit.

441
00:25:58,440 --> 00:26:00,679
Speaker 2: But this is all just on paper. So, you know,

442
00:26:01,400 --> 00:26:02,800
Speaker 2: is Shapiro going to clinch it?

443
00:26:03,880 --> 00:26:04,360
Speaker 1: I'm not sure.

444
00:26:04,359 --> 00:26:07,400
Speaker 2: If you look at the electoral college mac right, Pennsylvania

445
00:26:07,480 --> 00:26:11,200
Speaker 2: has four more electoral college votes than Michigan and nine

446
00:26:11,280 --> 00:26:15,480
Speaker 2: more than Wisconsin. So if Democrats win Pennsylvania those other

447
00:26:15,520 --> 00:26:18,080
Speaker 2: two states, they can lose and still have a plausible

448
00:26:18,160 --> 00:26:23,040
Speaker 2: electoral college victory path. The research, though, shows that VP

449
00:26:23,240 --> 00:26:27,359
Speaker 2: picks seldom actually translate to any kind of advantage in

450
00:26:27,440 --> 00:26:30,679
Speaker 2: terms of home state turnout and support. So while a

451
00:26:30,720 --> 00:26:33,000
Speaker 2: lot of people seem to be applying the logic of

452
00:26:33,440 --> 00:26:36,920
Speaker 2: Harris is down in Pennsylvania and Shapiro is popular there,

453
00:26:37,119 --> 00:26:39,720
Speaker 2: so he should be the pick, so she wins Pennsylvania,

454
00:26:40,080 --> 00:26:42,840
Speaker 2: there's no real merit to that argument, Like it's not

455
00:26:42,920 --> 00:26:45,080
Speaker 2: really born out in the data that you see, like

456
00:26:45,440 --> 00:26:49,200
Speaker 2: historically when it comes to presidential elections. So that's really

457
00:26:49,240 --> 00:26:52,080
Speaker 2: like the only first tier argument I hear for him

458
00:26:52,480 --> 00:26:55,560
Speaker 2: like that, you know, like that's the only I'm sure

459
00:26:55,600 --> 00:26:58,639
Speaker 2: there are other are you like I guess the whole

460
00:26:58,680 --> 00:27:01,080
Speaker 2: mainstream media is doing their thing where they're like she

461
00:27:01,160 --> 00:27:04,520
Speaker 2: needs to tack even more to the center, okay, like

462
00:27:04,600 --> 00:27:09,600
Speaker 2: to the right, and he is the probably forthest right person,

463
00:27:10,040 --> 00:27:13,080
Speaker 2: but right it, I don't know. He seems polished in

464
00:27:13,119 --> 00:27:16,200
Speaker 2: a way that I think doesn't work that well or

465
00:27:16,280 --> 00:27:19,919
Speaker 2: doesn't like add much to because she's already fairly like

466
00:27:19,960 --> 00:27:22,520
Speaker 2: polished in a way that I think some people find

467
00:27:23,280 --> 00:27:27,040
Speaker 2: unappealing in like Democrats, and then like his politics seem

468
00:27:27,080 --> 00:27:30,840
Speaker 2: to be the worst, and then the Yeah, the only

469
00:27:30,920 --> 00:27:35,520
Speaker 2: positive argument I've heard is like beloved in Pennsylvania. Yeah,

470
00:27:35,720 --> 00:27:38,560
Speaker 2: and they've been they I was watching MSNBC this morning,

471
00:27:38,560 --> 00:27:41,639
Speaker 2: like they were talking to like potential Latino voters who

472
00:27:41,680 --> 00:27:43,320
Speaker 2: are there, like I don't like. They were saying like

473
00:27:43,359 --> 00:27:45,320
Speaker 2: I don't know, but I like Shapiro, so that might

474
00:27:45,359 --> 00:27:47,840
Speaker 2: help me. And sure that's one person. But they were

475
00:27:47,880 --> 00:27:50,800
Speaker 2: presenting it as if like, see that person said they're

476
00:27:50,840 --> 00:27:53,600
Speaker 2: more interested if it is Shapiro. But again, this isn't

477
00:27:54,000 --> 00:27:57,480
Speaker 2: something that's supported by data. And again, if you're trying

478
00:27:57,520 --> 00:28:01,159
Speaker 2: to look more moderate, then yeah, Shapiro definitely helps with

479
00:28:01,200 --> 00:28:03,679
Speaker 2: that because there are people like you know, there's like

480
00:28:03,840 --> 00:28:06,600
Speaker 2: saying that Kamala Harris is like two left wing and

481
00:28:06,600 --> 00:28:10,560
Speaker 2: are like folks, sure, but no, let's be real here.

482
00:28:11,080 --> 00:28:14,760
Speaker 2: And like you said, his politics could definitely affect support

483
00:28:14,800 --> 00:28:18,159
Speaker 2: among younger and progressives, younger voters and progressive voters because

484
00:28:18,359 --> 00:28:21,200
Speaker 2: he's a staunch supporter of Israel, like he attacked like

485
00:28:21,760 --> 00:28:24,159
Speaker 2: as attorney general, he was like coming after Ben and

486
00:28:24,240 --> 00:28:26,840
Speaker 2: Jerry's because they're like, we actually don't want to like

487
00:28:26,920 --> 00:28:29,600
Speaker 2: sell Ben and Jerry's in like illegal settlements.

488
00:28:29,840 --> 00:28:31,960
Speaker 1: And he's like the BDS movement is out of control.

489
00:28:32,280 --> 00:28:35,399
Speaker 2: He called student protesters who are protesting the genocide and

490
00:28:35,440 --> 00:28:39,160
Speaker 2: goaza like white supremacists and compared them to the KKK.

491
00:28:39,400 --> 00:28:41,080
Speaker 1: He's like, down for school about your stuff.

492
00:28:41,320 --> 00:28:45,280
Speaker 2: It's not great policy at all. And I think Harris

493
00:28:45,280 --> 00:28:48,040
Speaker 2: seems to understand, I guess somewhat. I mean, like when

494
00:28:48,040 --> 00:28:49,960
Speaker 2: net and Yahoo was in town, she didn't meet with him.

495
00:28:49,960 --> 00:28:52,280
Speaker 2: She had another engagement, but apparently was going to meet

496
00:28:52,320 --> 00:28:54,120
Speaker 2: in private. So a lot of people are like, well,

497
00:28:54,120 --> 00:28:57,360
Speaker 2: at least it sounds like visually she knows what how

498
00:28:57,400 --> 00:29:00,960
Speaker 2: to not appear because of this very delicate situation considering

499
00:29:01,000 --> 00:29:03,600
Speaker 2: the plight of Palestinian people at the moment, and that

500
00:29:03,640 --> 00:29:06,560
Speaker 2: needs to be handled delicately, and I think especially now

501
00:29:06,600 --> 00:29:09,160
Speaker 2: because if you look at the news recently, Net and

502
00:29:09,200 --> 00:29:13,360
Speaker 2: Yahoo seems to be escalating things to a potential regional war,

503
00:29:13,840 --> 00:29:17,000
Speaker 2: like there have been a Hamas like and other Iran

504
00:29:17,080 --> 00:29:19,720
Speaker 2: proxy people who have been assassinated in the capitals of

505
00:29:19,800 --> 00:29:21,160
Speaker 2: Lebanon and Iran.

506
00:29:21,720 --> 00:29:23,680
Speaker 1: Okay, and getting.

507
00:29:23,360 --> 00:29:26,360
Speaker 2: Further embroiled in armed conflict is the last thing I

508
00:29:26,400 --> 00:29:28,400
Speaker 2: think most people. I mean, I think most people are like,

509
00:29:28,440 --> 00:29:29,720
Speaker 2: what the fuck? What?

510
00:29:29,720 --> 00:29:31,239
Speaker 1: What? What do you need to know?

511
00:29:31,720 --> 00:29:33,680
Speaker 2: We don't want to fucking get involved in another war.

512
00:29:34,200 --> 00:29:37,840
Speaker 2: So everyone's calculus isn't the same. But this is also

513
00:29:37,880 --> 00:29:40,680
Speaker 2: why I think it's important for the Harris campaign to

514
00:29:40,880 --> 00:29:44,480
Speaker 2: really begin articulating her policy positions on things like you know,

515
00:29:44,560 --> 00:29:47,560
Speaker 2: Medicare for all or like pathways to citizenship Because while

516
00:29:47,600 --> 00:29:51,720
Speaker 2: Mark Kelly gives you immigration cred because he's like in

517
00:29:51,800 --> 00:29:54,760
Speaker 2: a border state, that might not play well with people

518
00:29:54,760 --> 00:29:56,760
Speaker 2: who are a little bit disappointed to hear like what

519
00:29:56,880 --> 00:30:00,760
Speaker 2: about pathways to citizenship? Like where we with that? What

520
00:30:00,800 --> 00:30:03,400
Speaker 2: are these other things that are gonna really bring out

521
00:30:03,440 --> 00:30:04,440
Speaker 2: more and more support?

522
00:30:04,960 --> 00:30:09,440
Speaker 1: So is Kelly like tough on crime, border guy actually yeah, yeah, yeah, yeah, yeah,

523
00:30:09,720 --> 00:30:12,560
Speaker 1: he's a border hawk. Some might say fun.

524
00:30:12,320 --> 00:30:15,360
Speaker 2: So that I think that's why there's all this kind

525
00:30:15,440 --> 00:30:17,600
Speaker 2: of like what are we gonna do?

526
00:30:17,680 --> 00:30:18,880
Speaker 1: Like who's going to be the best?

527
00:30:18,960 --> 00:30:21,240
Speaker 2: And I don't know, I mean I feel like from

528
00:30:21,280 --> 00:30:24,680
Speaker 2: what I've seen, Tim Waltz offers a lot. He seems

529
00:30:24,720 --> 00:30:28,040
Speaker 2: pretty relatable. He's really popular in Minnesota too. But then

530
00:30:28,080 --> 00:30:30,160
Speaker 2: other people were like, but he was the governor during

531
00:30:30,200 --> 00:30:32,520
Speaker 2: the George Floyd stuff that was happening in twenty twenty,

532
00:30:32,560 --> 00:30:34,920
Speaker 2: and like what can you do against those It's all

533
00:30:35,000 --> 00:30:38,960
Speaker 2: everyone's got their reason to not or to support, but yeah,

534
00:30:39,360 --> 00:30:42,960
Speaker 2: it's there's you know, the Democrats could make the right

535
00:30:43,040 --> 00:30:45,840
Speaker 2: decision or one that doesn't seem to fracture the support,

536
00:30:45,880 --> 00:30:50,360
Speaker 2: because right now it feels like people because Kamala isn't

537
00:30:50,440 --> 00:30:54,840
Speaker 2: quite fully tied to Biden's policies, obviously she is by

538
00:30:54,840 --> 00:30:58,040
Speaker 2: being vice president, like there is this honeymoon period where

539
00:30:58,040 --> 00:31:00,320
Speaker 2: people can pretend like, I don't know, she might be

540
00:31:00,320 --> 00:31:03,200
Speaker 2: completely different than what's happening right now, and so a

541
00:31:03,320 --> 00:31:06,080
Speaker 2: VP pick may kind of reinforce the thing as like, oh,

542
00:31:06,080 --> 00:31:09,120
Speaker 2: this is basically this is the Biden campaign all over again.

543
00:31:09,280 --> 00:31:11,760
Speaker 2: Or is this something different to have a bigger coalition

544
00:31:12,280 --> 00:31:13,160
Speaker 2: of voter support.

545
00:31:13,640 --> 00:31:18,200
Speaker 1: Yeah, all right, So the mainstream media takes I've read,

546
00:31:19,080 --> 00:31:22,440
Speaker 1: and this is gonna shock you guys a little bit

547
00:31:22,760 --> 00:31:25,800
Speaker 1: if you've paid attention to the mainstream media ever over

548
00:31:25,840 --> 00:31:29,040
Speaker 1: the past thirty years. They think she's gonna need to

549
00:31:29,160 --> 00:31:34,080
Speaker 1: tax center on this one. No way, I know, righty.

550
00:31:34,760 --> 00:31:38,520
Speaker 1: Their read on the situation is that her campaign fell

551
00:31:38,560 --> 00:31:42,000
Speaker 1: apart in twenty twenty when she tried to embrace her

552
00:31:42,000 --> 00:31:44,920
Speaker 1: twenty nineteen when she tried to embrace like left leaning

553
00:31:44,960 --> 00:31:48,960
Speaker 1: policy positions, and of course by embrace we mean may

554
00:31:49,000 --> 00:31:53,959
Speaker 1: hollow gestures and speeches without like having any ideologically coherent

555
00:31:54,320 --> 00:31:59,880
Speaker 1: like you know, grasp and so almost feels like very

556
00:32:00,120 --> 00:32:05,040
Speaker 1: centrist to me after all, to not actually embrace it

557
00:32:05,120 --> 00:32:10,880
Speaker 1: but just like make gestures and not have actual ideological

558
00:32:11,240 --> 00:32:17,400
Speaker 1: content in your platform. But I don't know she's.

559
00:32:17,120 --> 00:32:21,360
Speaker 2: Got again, there's an opportunity to really firm up support

560
00:32:21,560 --> 00:32:25,320
Speaker 2: by you know, having things that people want, policies that

561
00:32:25,360 --> 00:32:28,040
Speaker 2: people want, and for all this like tack to the center.

562
00:32:28,080 --> 00:32:30,520
Speaker 2: I'm like, the most Democrats and most of the people

563
00:32:30,560 --> 00:32:33,280
Speaker 2: you're trying to appeel to want things like like universal

564
00:32:33,280 --> 00:32:36,840
Speaker 2: health care right, want things like pathways for citizenship, want

565
00:32:36,880 --> 00:32:39,479
Speaker 2: things like a ceasefire, and with what I mean, Nen,

566
00:32:39,600 --> 00:32:44,360
Speaker 2: Yahoo's completely really change the playing field here, because like

567
00:32:44,680 --> 00:32:47,719
Speaker 2: you're you're negotiating with Hamas for a ceasefire, but you're

568
00:32:47,760 --> 00:32:51,560
Speaker 2: going after like you're assassinating they're the heads there, and

569
00:32:51,600 --> 00:32:54,280
Speaker 2: like how do negotiations go forward in that instance? It

570
00:32:54,320 --> 00:32:57,080
Speaker 2: feels like that it's really doesn't know, it's it can

571
00:32:57,080 --> 00:33:01,280
Speaker 2: only go downhill from here. Yeah, so yeah, a lot

572
00:33:01,320 --> 00:33:04,360
Speaker 2: can be a lot can change, but I can also

573
00:33:04,480 --> 00:33:06,640
Speaker 2: like you know, we also see this habit constantly come

574
00:33:06,680 --> 00:33:09,560
Speaker 2: out from Democrats, which is like don't yeah, don't too

575
00:33:09,720 --> 00:33:13,840
Speaker 2: too much progress because it scares imaginary people that we

576
00:33:13,960 --> 00:33:15,800
Speaker 2: made up to maintain the status quo.

577
00:33:16,200 --> 00:33:20,280
Speaker 1: Yeah, the political analysts and strategists are no fan of

578
00:33:20,960 --> 00:33:24,680
Speaker 1: stack like sticking to or like going with a strong

579
00:33:25,400 --> 00:33:28,360
Speaker 1: take on a policy that's popular because.

580
00:33:28,160 --> 00:33:30,560
Speaker 2: Yeah, like I don't know how many people grown with

581
00:33:30,680 --> 00:33:35,840
Speaker 2: a Tim Waltz VP pick right. People will start groaning

582
00:33:36,160 --> 00:33:40,040
Speaker 2: about Josh Shapiro right just because you know, like his

583
00:33:40,160 --> 00:33:43,800
Speaker 2: politics are all there for people to see and considering,

584
00:33:43,920 --> 00:33:47,880
Speaker 2: like the how fractured Biden's support was over things like

585
00:33:47,920 --> 00:33:48,959
Speaker 2: his support for Israel.

586
00:33:49,680 --> 00:33:51,960
Speaker 1: Can she figure out a way because.

587
00:33:51,720 --> 00:33:53,920
Speaker 2: Like again, like I said, the people, the vibes are

588
00:33:53,960 --> 00:33:56,320
Speaker 2: good because people are still kind of like defining in

589
00:33:56,360 --> 00:33:58,680
Speaker 2: their own mind what this campaign can be before it's

590
00:33:58,680 --> 00:34:02,880
Speaker 2: actually articulating what those positions will be. So it's like

591
00:34:03,000 --> 00:34:06,600
Speaker 2: it's definitely a very there's an opportunity to either do

592
00:34:06,680 --> 00:34:09,960
Speaker 2: something that will really shore things up or cause more

593
00:34:10,360 --> 00:34:12,640
Speaker 2: you know, finger pointing and disagreement.

594
00:34:13,280 --> 00:34:15,759
Speaker 1: Yeah, the content of the speech in Atlanta seemed to

595
00:34:15,760 --> 00:34:18,200
Speaker 1: be playing from the playbook of like keep the focus

596
00:34:18,239 --> 00:34:22,719
Speaker 1: on Trump and also like play defense on places there

597
00:34:22,760 --> 00:34:26,279
Speaker 1: attacking me, like the border stuff. Like she specifically brought

598
00:34:26,320 --> 00:34:28,960
Speaker 1: up the border thing, so I could see her going

599
00:34:28,960 --> 00:34:32,000
Speaker 1: with Kelly because of that being a place where she

600
00:34:32,040 --> 00:34:35,920
Speaker 1: feels like she needs to play defense. So the betting lines,

601
00:34:35,960 --> 00:34:38,360
Speaker 1: by the way, like Shapiro and Kelly lay out in

602
00:34:38,480 --> 00:34:42,480
Speaker 1: front plus one thirty seven for Shapiro, which means you

603
00:34:42,480 --> 00:34:45,239
Speaker 1: bet one hundred dollars. If she picked Shapiro, you win

604
00:34:45,280 --> 00:34:48,480
Speaker 1: one hundred and thirty seven. Kelly, you win one hundred

605
00:34:48,480 --> 00:34:52,080
Speaker 1: and sixty two. Tim Wallt you win five hundred. So

606
00:34:52,280 --> 00:34:57,520
Speaker 1: they're pretty they think that one's unlikely. Roy Cooper, you

607
00:34:57,560 --> 00:35:00,880
Speaker 1: win fourteen hundred, those odds should go up. Now that

608
00:35:00,920 --> 00:35:04,040
Speaker 1: he's dropped out of the race, he's taken his name

609
00:35:04,040 --> 00:35:08,360
Speaker 1: out of contention. Andy Basheer is way back at eighteen hundred.

610
00:35:08,520 --> 00:35:10,200
Speaker 1: So I don't know, I feel like it.

611
00:35:10,680 --> 00:35:16,360
Speaker 7: You know, the betters seem to the thing and they

612
00:35:16,440 --> 00:35:18,040
Speaker 7: are way out.

613
00:35:17,800 --> 00:35:19,760
Speaker 1: In front on Shapiro and Kelly.

614
00:35:20,080 --> 00:35:26,320
Speaker 7: So yeahs what like in the world of politics, what are.

615
00:35:26,280 --> 00:35:30,080
Speaker 1: The VP success stories? Like, I feel like I only

616
00:35:30,160 --> 00:35:36,440
Speaker 1: have VP like horror stories where it's Sarah Palin, it's

617
00:35:36,760 --> 00:35:41,759
Speaker 1: jd Vance. I guess the success stories would be like

618
00:35:42,800 --> 00:35:50,280
Speaker 1: Pence not totally fucking Trump's first campaign up and Biden

619
00:35:50,760 --> 00:35:54,520
Speaker 1: like giving making old white people feel okay about Obama.

620
00:35:54,640 --> 00:35:57,359
Speaker 1: But it's never like flashy, right, It's always like.

621
00:35:57,280 --> 00:35:59,920
Speaker 2: And if you look at the people who the last

622
00:36:00,080 --> 00:36:03,719
Speaker 2: VP picks from, like the the elections, we remember, they

623
00:36:03,760 --> 00:36:06,279
Speaker 2: were all coming from states that weren't competitive at all,

624
00:36:07,000 --> 00:36:10,800
Speaker 2: like Dick Cheney's from Wyoming. Yeah, like Pence is from Indiana,

625
00:36:11,600 --> 00:36:15,440
Speaker 2: Kamala Harris is from California, So like, yeah, these aren't

626
00:36:15,640 --> 00:36:18,839
Speaker 2: these aren't necessarily like because I think if it were,

627
00:36:18,880 --> 00:36:21,120
Speaker 2: if it were that easy then everyone would be deploying

628
00:36:21,120 --> 00:36:22,920
Speaker 2: this strategy to be like, what's the swing state we

629
00:36:22,960 --> 00:36:25,520
Speaker 2: need to win, that's the VP pick. It's just like,

630
00:36:25,560 --> 00:36:27,879
Speaker 2: while sometimes there are there are a few people who

631
00:36:27,920 --> 00:36:30,160
Speaker 2: make the arguments that it does matter, but like people

632
00:36:30,160 --> 00:36:32,920
Speaker 2: who've done deeper analysis on it, like now, the premise,

633
00:36:33,239 --> 00:36:34,600
Speaker 2: the premise that these sort.

634
00:36:34,440 --> 00:36:37,399
Speaker 1: Of research papers are based off over flawed, and yeah

635
00:36:37,400 --> 00:36:42,200
Speaker 1: they can you remember Tim Kane, Yes, holy shit, what

636
00:36:42,320 --> 00:36:48,279
Speaker 1: a strange energy that guy was working with exactly not

637
00:36:48,719 --> 00:36:52,600
Speaker 1: what Hillary Clinton needed, but that felt like one where

638
00:36:52,640 --> 00:36:54,640
Speaker 1: they were like we got a hold like shore up

639
00:36:55,000 --> 00:36:58,440
Speaker 1: a battleground state, Virginia is important. And he was bilingual.

640
00:36:58,560 --> 00:37:01,359
Speaker 1: There was that. I think that was a oh yeah,

641
00:37:01,520 --> 00:37:03,600
Speaker 1: I didn't I didn't know that. Yeah, a lot of

642
00:37:03,600 --> 00:37:05,040
Speaker 1: people like he speaks Spanish.

643
00:37:05,760 --> 00:37:07,319
Speaker 6: Was that Hillary's VP pick?

644
00:37:07,480 --> 00:37:09,920
Speaker 1: Yeah, Hilary yeah, twenty sixteen.

645
00:37:10,239 --> 00:37:12,919
Speaker 6: Yeah, I don't remember this dude at all.

646
00:37:13,480 --> 00:37:18,280
Speaker 1: He was very not memorable and just had this really

647
00:37:18,320 --> 00:37:21,480
Speaker 1: weird energy where he would like, you know, say a

648
00:37:21,560 --> 00:37:24,600
Speaker 1: thing and then like translate it into Spanish with but

649
00:37:24,640 --> 00:37:28,759
Speaker 1: it was just like his facial facial energy. It was

650
00:37:28,800 --> 00:37:31,120
Speaker 1: all like cheerleader, you know.

651
00:37:31,239 --> 00:37:33,120
Speaker 7: It was like you know when a cheerleader has like

652
00:37:33,160 --> 00:37:35,480
Speaker 7: a plastered smile where it's.

653
00:37:35,360 --> 00:37:38,320
Speaker 1: Like I'm giving you enthusiasm all the time.

654
00:37:38,520 --> 00:37:40,920
Speaker 2: Yes, but yeah, the thing was even then, I remember

655
00:37:40,960 --> 00:37:43,120
Speaker 2: there were like poles that they're like even like Spanish

656
00:37:43,120 --> 00:37:46,840
Speaker 2: speaking voters like that's okay, not like impressed, you know

657
00:37:46,880 --> 00:37:49,319
Speaker 2: what I mean? Yeah, no, grass, yeah, because he was

658
00:37:49,320 --> 00:37:52,319
Speaker 2: doing like speeches too, like like in Spanish, and we're like, yo,

659
00:37:52,400 --> 00:37:53,640
Speaker 2: this ship is pretty impressive.

660
00:37:53,680 --> 00:37:58,240
Speaker 1: But it just it wasn't enough. So again, it stands

661
00:37:58,239 --> 00:38:01,560
Speaker 1: to reason that it can maybe do more potentially to

662
00:38:02,160 --> 00:38:04,360
Speaker 1: hinder than to help. But I don't know. We have

663
00:38:04,400 --> 00:38:06,400
Speaker 1: to see how JD. Evans plays out. That'll be an

664
00:38:06,440 --> 00:38:07,400
Speaker 1: interesting test case.

665
00:38:07,239 --> 00:38:10,799
Speaker 2: Because this is someone whose favorability keeps fucking going down

666
00:38:10,840 --> 00:38:11,359
Speaker 2: sky right.

667
00:38:11,480 --> 00:38:13,560
Speaker 1: Well, I'm sorry, I guess I'm out of the loop

668
00:38:13,600 --> 00:38:16,839
Speaker 1: on those I thought that couch thing was gonna really

669
00:38:17,600 --> 00:38:23,000
Speaker 1: should we talk about JD? Because he continues to so

670
00:38:23,040 --> 00:38:27,960
Speaker 1: it's he's become a major story for the Trump campaign.

671
00:38:28,239 --> 00:38:32,440
Speaker 1: The fact that the narrative is now this has backfired.

672
00:38:32,760 --> 00:38:36,440
Speaker 1: He is he was the wrong choice when you Google

673
00:38:36,560 --> 00:38:41,640
Speaker 1: I googled has VP ever, and the Google auto complete

674
00:38:41,680 --> 00:38:45,879
Speaker 1: has been replaced because a lot of people are thinking

675
00:38:45,920 --> 00:38:47,960
Speaker 1: that on the Republican side, like how do we get

676
00:38:48,000 --> 00:38:51,080
Speaker 1: out of this? So he had to come out and

677
00:38:51,160 --> 00:38:55,839
Speaker 1: just calm everyone down and be like, look, we're good here. Yeah,

678
00:38:55,960 --> 00:38:59,080
Speaker 1: I just I know it looks weird because they made

679
00:38:59,120 --> 00:39:01,960
Speaker 1: up that line and every almost like that lie makes

680
00:39:02,000 --> 00:39:04,399
Speaker 1: me see you in a new way. But I am

681
00:39:04,520 --> 00:39:09,160
Speaker 1: secretly a riz god and get ready to be blown

682
00:39:09,200 --> 00:39:11,200
Speaker 1: away and melt in my hands.

683
00:39:11,560 --> 00:39:16,000
Speaker 2: Yeah, man, it's his He he gave a stump speech

684
00:39:16,280 --> 00:39:23,040
Speaker 2: in Nevada, and it started off like fucking terribly, like

685
00:39:23,200 --> 00:39:25,520
Speaker 2: just from the beginning of the speech. Let me just

686
00:39:25,560 --> 00:39:29,440
Speaker 2: play it the fucking just the beginning of JD. Van's

687
00:39:29,520 --> 00:39:32,560
Speaker 2: giving a speech, just so you understand where this guy,

688
00:39:32,680 --> 00:39:37,000
Speaker 2: where he's coming from.

689
00:39:37,040 --> 00:39:41,440
Speaker 1: They're excited. Now I have seen the consequences. Mike just

690
00:39:41,480 --> 00:39:42,879
Speaker 1: went out.

691
00:39:43,200 --> 00:39:51,640
Speaker 7: Now he's tapping the mic, still talking, he's talking, he's

692
00:39:51,680 --> 00:39:53,240
Speaker 7: hand now doing a fake.

693
00:39:56,840 --> 00:39:59,759
Speaker 2: Something about this Mike again, all dead air right now,

694
00:40:00,040 --> 00:40:01,879
Speaker 2: and then it comes back up there it is.

695
00:40:02,120 --> 00:40:04,759
Speaker 1: So that's how the speech fucking started, you know what

696
00:40:04,800 --> 00:40:08,280
Speaker 1: I mean. Then he's got real like Ronda Santa's energy,

697
00:40:08,320 --> 00:40:13,040
Speaker 1: where like when he's smiling, you're like he's gonna kill someone. Yeah, exactly,

698
00:40:13,320 --> 00:40:18,000
Speaker 1: he is planning someone's demise. So again, his speaking ability

699
00:40:18,480 --> 00:40:21,880
Speaker 1: is second to many. But listen, this is this is

700
00:40:21,920 --> 00:40:23,880
Speaker 1: part of this is just again because he is a

701
00:40:23,880 --> 00:40:26,359
Speaker 1: fantastic orator. This is this is him getting a little

702
00:40:26,400 --> 00:40:29,640
Speaker 1: momentum in his speech. Do we want to defund the police?

703
00:40:30,760 --> 00:40:33,800
Speaker 1: Do you wanted to do you want to ban fracking?

704
00:40:34,920 --> 00:40:35,040
Speaker 8: So?

705
00:40:35,200 --> 00:40:38,200
Speaker 9: Do we want a dangerous level liberal like Kamala Harris?

706
00:40:38,480 --> 00:40:43,719
Speaker 1: What he's like doing a Kyle Mooney bit? Do I

707
00:40:43,920 --> 00:40:49,240
Speaker 1: do a little bit more? Yeah, he's he's not. Again,

708
00:40:49,480 --> 00:40:52,719
Speaker 1: he's not the smoothest. He's supposed to be the coherent

709
00:40:53,000 --> 00:40:59,600
Speaker 1: anchor to Donald Trump's electric motor boat. That he has

710
00:40:59,680 --> 00:41:01,920
Speaker 1: to is between sharker electrocution.

711
00:41:02,239 --> 00:41:05,600
Speaker 8: You at a little baby belt Jesus wait, liberal, please,

712
00:41:06,680 --> 00:41:07,399
Speaker 8: can I start over?

713
00:41:07,480 --> 00:41:09,759
Speaker 1: Guys? My time out? Time out? You can't do a

714
00:41:09,760 --> 00:41:12,400
Speaker 1: timeout during a live speech. Then listen to this one.

715
00:41:12,600 --> 00:41:14,440
Speaker 2: This is where he's just trying to talk about, like

716
00:41:14,719 --> 00:41:17,399
Speaker 2: you can thank Kamala Harrison Joe Biden for your high

717
00:41:17,480 --> 00:41:18,200
Speaker 2: gas prices.

718
00:41:18,239 --> 00:41:20,359
Speaker 1: This is how he lands the plane on this one.

719
00:41:20,680 --> 00:41:23,800
Speaker 1: So when you fill up your pump, huh, when you fill.

720
00:41:23,719 --> 00:41:27,760
Speaker 9: Up your tank at the gas station, maybe you should

721
00:41:27,760 --> 00:41:35,440
Speaker 9: send a bill to Kamala Harris.

722
00:41:32,200 --> 00:41:33,359
Speaker 1: When you fill up your pump.

723
00:41:33,560 --> 00:41:37,640
Speaker 7: He's just he's the everyman, you know, when you fill

724
00:41:37,719 --> 00:41:39,120
Speaker 7: up your pump on your.

725
00:41:39,040 --> 00:41:43,800
Speaker 2: Car tank, gas fill up tank at gas station.

726
00:41:44,719 --> 00:41:47,319
Speaker 1: I would give Kamala bill. I don't know, time out

727
00:41:49,440 --> 00:41:51,240
Speaker 1: defeated by the end of the sentence.

728
00:41:51,640 --> 00:41:55,880
Speaker 2: Yeah, so he's he's not again, the Grand Wizard of

729
00:41:55,920 --> 00:41:59,400
Speaker 2: the KKK is not quite giving us the charisma that

730
00:41:59,520 --> 00:42:02,200
Speaker 2: is needed to power this white supremacist campaign.

731
00:42:02,480 --> 00:42:04,440
Speaker 1: Unfortune for them.

732
00:42:04,480 --> 00:42:06,759
Speaker 2: But then the part that really got a lot of

733
00:42:06,760 --> 00:42:09,080
Speaker 2: attention was again this guy.

734
00:42:09,120 --> 00:42:14,000
Speaker 1: Everyone says you bang couches, and he says this, he's.

735
00:42:13,840 --> 00:42:16,520
Speaker 2: Talking about people like people want, people want my wife

736
00:42:16,520 --> 00:42:17,880
Speaker 2: to come up and say something.

737
00:42:18,000 --> 00:42:21,440
Speaker 7: This is him talking about two big like stories that

738
00:42:21,520 --> 00:42:25,280
Speaker 7: have been like circulating the mainstream media that have crossed

739
00:42:25,280 --> 00:42:27,400
Speaker 7: over from memes to like the mainstream meter or like

740
00:42:27,800 --> 00:42:30,920
Speaker 7: that he had that interview where he talked about his

741
00:42:31,000 --> 00:42:34,680
Speaker 7: wife and seemed apologetic that she was a person of color. Yeah,

742
00:42:34,760 --> 00:42:38,000
Speaker 7: and to like he was like, white supremacists don't like it,

743
00:42:38,120 --> 00:42:39,160
Speaker 7: but I love it.

744
00:42:39,320 --> 00:42:39,879
Speaker 1: I love her.

745
00:42:40,000 --> 00:42:43,280
Speaker 7: And then the other one is the made up story

746
00:42:43,320 --> 00:42:45,279
Speaker 7: that he fucks a couch but he just like has

747
00:42:45,320 --> 00:42:48,160
Speaker 7: sluch couch fucking energy that it won't go away. And

748
00:42:48,239 --> 00:42:50,680
Speaker 7: here's how he tries to kill two birds with one

749
00:42:50,719 --> 00:42:51,719
Speaker 7: stone or.

750
00:42:52,280 --> 00:42:57,480
Speaker 1: Or sideshow bob breakfest. Yes, he just another rake to

751
00:42:57,520 --> 00:42:58,440
Speaker 1: the face. Let's see.

752
00:42:59,800 --> 00:43:01,640
Speaker 9: Now I would call her up here to come and

753
00:43:01,680 --> 00:43:03,560
Speaker 9: speak that. Then I think I'd have to sleep on

754
00:43:03,560 --> 00:43:04,280
Speaker 9: the couch tonight.

755
00:43:04,360 --> 00:43:10,600
Speaker 1: So alone, there's like groans in the audience.

756
00:43:10,680 --> 00:43:16,319
Speaker 2: I know they're like, what, like, so you so you

757
00:43:16,360 --> 00:43:20,120
Speaker 2: want to Cody Johnson retweeted that he's like, in fact,

758
00:43:20,360 --> 00:43:26,200
Speaker 2: why don't I ever come up here? That actually sounds

759
00:43:26,200 --> 00:43:28,880
Speaker 2: all right to me. Yeah, yeah, another night on the couch.

760
00:43:29,040 --> 00:43:30,080
Speaker 1: But I don't know.

761
00:43:30,200 --> 00:43:32,879
Speaker 2: Again, he's not leaning into it like someone who has

762
00:43:32,960 --> 00:43:35,600
Speaker 2: like a good command of irony and humor.

763
00:43:36,239 --> 00:43:38,280
Speaker 1: Its just like it also comes off as like, dude,

764
00:43:38,360 --> 00:43:41,680
Speaker 1: you did you know? Did you mean to do that? Yeah?

765
00:43:41,920 --> 00:43:44,719
Speaker 1: Was he trying to be like maybe I can be

766
00:43:44,840 --> 00:43:48,520
Speaker 1: self deprecating about this, But he did it in a

767
00:43:48,520 --> 00:43:52,799
Speaker 1: way that like he bailed on the bit like immediately, And.

768
00:43:52,840 --> 00:43:56,880
Speaker 6: So does it strike me as someone who has any

769
00:43:56,920 --> 00:43:59,120
Speaker 6: like the capacity to have a sense of humor about

770
00:43:59,200 --> 00:44:02,120
Speaker 6: himself or to like acknowledge So I'm like I think

771
00:44:02,120 --> 00:44:06,240
Speaker 6: he just was like, Oh, my wife's always his wife

772
00:44:06,640 --> 00:44:10,000
Speaker 6: is always curious with me, right, so I'm used to

773
00:44:10,000 --> 00:44:12,480
Speaker 6: sleeping on the couch And he didn't even make the connection,

774
00:44:12,640 --> 00:44:16,239
Speaker 6: which how embarrassing is that? That's my theory though.

775
00:44:16,400 --> 00:44:19,440
Speaker 2: He and then on Wednesday he went to a diner.

776
00:44:19,520 --> 00:44:21,040
Speaker 2: I didn't put this one in the dock, but he

777
00:44:21,120 --> 00:44:23,400
Speaker 2: went to a diner and like with his wife and

778
00:44:23,440 --> 00:44:26,600
Speaker 2: two kids, and he didn't even like introduce her to anyone,

779
00:44:27,080 --> 00:44:29,239
Speaker 2: Like he just was like talking and like people were

780
00:44:29,239 --> 00:44:31,360
Speaker 2: just like, oh, hi, nice to meet you the wife.

781
00:44:32,040 --> 00:44:35,239
Speaker 2: Like in this he's like feigning family man stuff at

782
00:44:35,239 --> 00:44:38,280
Speaker 2: this diner counter while his kids are drinking chocolate milk.

783
00:44:38,320 --> 00:44:41,160
Speaker 2: And it's like, again very awkward. There's like video of

784
00:44:41,200 --> 00:44:44,600
Speaker 2: like campaign aids like setting up the chocolate milk for

785
00:44:44,680 --> 00:44:47,399
Speaker 2: like this photo op of like kids just enjoying chocolate milk.

786
00:44:47,440 --> 00:44:50,080
Speaker 2: And then this is how this entire sequence interaction went

787
00:44:50,120 --> 00:44:51,000
Speaker 2: at a diner.

788
00:44:51,920 --> 00:44:55,719
Speaker 9: Oh right, here she's just sucked down a full day

789
00:44:55,800 --> 00:44:56,799
Speaker 9: serving a chocolate milk.

790
00:44:56,800 --> 00:45:03,280
Speaker 1: Here is this our bill here? Okay Roles right, yeah, okay,

791
00:45:03,400 --> 00:45:06,720
Speaker 1: I'm paying for these with money. I got it actually,

792
00:45:06,800 --> 00:45:11,040
Speaker 1: Yeah all right, now here's what we're gonna do. Thank you.

793
00:45:11,080 --> 00:45:14,799
Speaker 1: All those are big sentindoles. Those are big He's so

794
00:45:14,960 --> 00:45:19,560
Speaker 1: worried about he can't not start talking about nutrition the

795
00:45:19,600 --> 00:45:22,080
Speaker 1: second he's around food, like she's just sucked.

796
00:45:21,880 --> 00:45:25,240
Speaker 7: Down in days. We're serving worth of chocolate milk.

797
00:45:25,440 --> 00:45:28,000
Speaker 1: Cool that you're gonna have a your your kids are

798
00:45:28,000 --> 00:45:30,759
Speaker 1: gonna have a very normal relationship to food when you're

799
00:45:30,840 --> 00:45:34,439
Speaker 1: like and she has taken her protocol of chocolate milk

800
00:45:34,520 --> 00:45:35,040
Speaker 1: for the day.

801
00:45:35,200 --> 00:45:37,480
Speaker 2: This is actually what he says after he references the

802
00:45:37,560 --> 00:45:39,840
Speaker 2: chocolate milk again outside of the diner.

803
00:45:39,960 --> 00:45:41,919
Speaker 1: So I'm doing great, man, I'm having a good time.

804
00:45:41,960 --> 00:45:44,440
Speaker 1: My family's here. They're hopped up on chocolate milk. So

805
00:45:44,480 --> 00:45:47,480
Speaker 1: it's gonna be a wild plane ride home. But look,

806
00:45:47,520 --> 00:45:50,120
Speaker 1: we're we're having a great time and I'm enjoying it.

807
00:45:51,000 --> 00:45:52,920
Speaker 6: It's gonna be a wild played rendhod because they're gonna

808
00:45:53,040 --> 00:45:56,640
Speaker 6: ship the fun.

809
00:45:56,960 --> 00:45:59,600
Speaker 1: We're gonna watch long legs, dude, They're gonna ship they're

810
00:45:59,640 --> 00:46:03,160
Speaker 1: fucking little pants, dude, of those chocolate milks. He is

811
00:46:03,320 --> 00:46:07,160
Speaker 1: so rotten, like he is so disanta's brained, like he

812
00:46:07,239 --> 00:46:09,319
Speaker 1: is exactly run to say it, like all of his

813
00:46:09,640 --> 00:46:13,759
Speaker 1: energy is like rond DeSantis. His relationship to food and

814
00:46:13,880 --> 00:46:17,080
Speaker 1: sugar is run to say, like they they had him

815
00:46:17,200 --> 00:46:19,840
Speaker 1: do we we covered this on a previous episode, but

816
00:46:19,960 --> 00:46:22,880
Speaker 1: they had him do like a direct to camera like

817
00:46:22,920 --> 00:46:26,359
Speaker 1: behind the scenes of the campaign. This is what's fuel

818
00:46:26,400 --> 00:46:28,800
Speaker 1: in the campaign. It's junk food. I can't eat it

819
00:46:28,880 --> 00:46:31,600
Speaker 1: or I'd explode, blow up like a tip. Yeah, Like

820
00:46:32,000 --> 00:46:34,640
Speaker 1: it's just like God, what damn man? Like why you

821
00:46:34,719 --> 00:46:36,080
Speaker 1: like couldn't leave that out?

822
00:46:36,440 --> 00:46:38,919
Speaker 2: Yeah, but these are also buddy if for some guy

823
00:46:38,920 --> 00:46:41,239
Speaker 2: who's like again, he really rich. He showed his ass

824
00:46:41,239 --> 00:46:43,480
Speaker 2: and he said, I'm drinking diet mountain dew, like, bro,

825
00:46:43,680 --> 00:46:46,480
Speaker 2: just yeah, just elect yourself, let yourself rot on the

826
00:46:46,520 --> 00:46:48,520
Speaker 2: inside like the rest of us, and drink the full

827
00:46:48,600 --> 00:46:53,080
Speaker 2: blooded mountain dew and then coming after staple American foods

828
00:46:53,120 --> 00:46:57,120
Speaker 2: like Lays and Snickers and be like, ah.

829
00:46:56,520 --> 00:46:58,680
Speaker 1: I can't eat that garbage. That's for you.

830
00:46:59,040 --> 00:47:02,440
Speaker 2: I'm an everyman anyway, So we're going to Peter Luger's

831
00:47:02,719 --> 00:47:04,960
Speaker 2: after Anyway, my kids are in big trouble for all

832
00:47:04,960 --> 00:47:07,319
Speaker 2: that chocolate milk they just conssumed.

833
00:47:08,640 --> 00:47:12,680
Speaker 1: But soilent for them. I'm a man of the people. Yeah,

834
00:47:12,800 --> 00:47:14,240
Speaker 1: it's it's a tough one.

835
00:47:14,520 --> 00:47:17,440
Speaker 2: So yeah, I think also alongside just all of this,

836
00:47:17,960 --> 00:47:20,399
Speaker 2: I do want to just touch on Jesse Waters too,

837
00:47:20,440 --> 00:47:24,239
Speaker 2: because the weird stuff is still continuing to like rock

838
00:47:24,400 --> 00:47:27,120
Speaker 2: their brains, like they don't know how to squirm out

839
00:47:27,120 --> 00:47:31,040
Speaker 2: of this, and now Jesse Waters is just now coming

840
00:47:31,120 --> 00:47:34,960
Speaker 2: up with like weird pseudoscience takes on why like you

841
00:47:35,000 --> 00:47:37,960
Speaker 2: shouldn't vote for a woman and like why this whole

842
00:47:38,000 --> 00:47:41,520
Speaker 2: thing's a sham or whatever this is. Jesse Waters on

843
00:47:41,719 --> 00:47:44,000
Speaker 2: what this means to vote for a woman.

844
00:47:45,200 --> 00:47:48,240
Speaker 10: Now, I don't see why any man would vote Democrat.

845
00:47:48,680 --> 00:47:51,759
Speaker 10: It's not the party of virtue, security, it's not the

846
00:47:51,800 --> 00:47:54,760
Speaker 10: party of strength. It's definitely not the party of family.

847
00:47:55,400 --> 00:47:59,440
Speaker 10: And to be a man and then vote for a

848
00:47:59,480 --> 00:48:03,920
Speaker 10: woman just because she's a woman is either childish, that

849
00:48:04,000 --> 00:48:06,600
Speaker 10: person has mommy issues or they're just trying to be

850
00:48:06,640 --> 00:48:10,160
Speaker 10: accepted by other women. And I heard the scientists say

851
00:48:10,160 --> 00:48:12,399
Speaker 10: the other day that when a man votes for women,

852
00:48:12,640 --> 00:48:14,319
Speaker 10: he actually transitions into a woman.

853
00:48:14,480 --> 00:48:14,960
Speaker 7: Oh is that right?

854
00:48:15,040 --> 00:48:16,360
Speaker 1: Yeah, that's what the science's science.

855
00:48:16,520 --> 00:48:20,840
Speaker 7: That's so is that one of the shows where he's

856
00:48:21,080 --> 00:48:26,720
Speaker 7: with like Democrats or something, Yeah, token Democrats who are yeah?

857
00:48:27,400 --> 00:48:29,040
Speaker 1: I mean, and she's pretty.

858
00:48:28,760 --> 00:48:32,719
Speaker 2: Good on the five is she Yeah, she actually typically

859
00:48:32,880 --> 00:48:37,000
Speaker 2: like fires right back in a pretty Jessica Tarlov.

860
00:48:36,680 --> 00:48:39,280
Speaker 1: Is the woman who goes on there to represent like liberals.

861
00:48:39,880 --> 00:48:43,719
Speaker 2: But yeah, anyway, he managed to full transphobia into that

862
00:48:43,840 --> 00:48:49,680
Speaker 2: fucking weird take of like shattered Masculinity's so fucking again weird.

863
00:48:50,400 --> 00:48:53,600
Speaker 1: That's like weird. It's such a fifteen, like a fourteen

864
00:48:53,680 --> 00:48:54,600
Speaker 1: year old thing to say.

865
00:48:54,440 --> 00:48:56,800
Speaker 2: Like dude, don't pick the don't pick the girl character

866
00:48:57,000 --> 00:48:59,799
Speaker 2: or you're the girl in the video game, Like what

867
00:49:00,600 --> 00:49:03,760
Speaker 2: And that means what what are we saying?

868
00:49:04,600 --> 00:49:07,279
Speaker 6: None of what he said made And also like no

869
00:49:07,320 --> 00:49:10,720
Speaker 6: one's voting for her just because she's like men certainly

870
00:49:10,840 --> 00:49:12,160
Speaker 6: aren't doing that.

871
00:49:12,600 --> 00:49:14,600
Speaker 1: Yeah, where's that? Yeah? Where is that group?

872
00:49:15,520 --> 00:49:18,880
Speaker 2: I will only vote for a woman, that's my thing. Yeah,

873
00:49:18,960 --> 00:49:21,279
Speaker 2: and I do that to impress other women, that's why.

874
00:49:21,360 --> 00:49:25,600
Speaker 6: Yeah, because men are obsessed with getting the social approval

875
00:49:25,880 --> 00:49:28,080
Speaker 6: of women famously.

876
00:49:28,520 --> 00:49:31,160
Speaker 2: Right right right, So I live in such a utopia

877
00:49:31,239 --> 00:49:33,600
Speaker 2: of of equality.

878
00:49:34,040 --> 00:49:36,319
Speaker 1: It is. It is a narrative that I'm seeing a

879
00:49:36,320 --> 00:49:38,759
Speaker 1: lot of places, like there's been this headline where it's

880
00:49:38,840 --> 00:49:41,960
Speaker 1: like the gap, the gender gap, and how it defines

881
00:49:42,040 --> 00:49:46,200
Speaker 1: this election more than any election ever, so I see

882
00:49:46,280 --> 00:49:49,319
Speaker 1: what they're trying to do with the data to be

883
00:49:49,440 --> 00:49:52,120
Speaker 1: like and that means you're not a man if you

884
00:49:52,239 --> 00:49:53,520
Speaker 1: vote for Democrat.

885
00:49:53,920 --> 00:49:56,279
Speaker 2: Well, because with younger people it's definitely going that way,

886
00:49:56,320 --> 00:50:00,360
Speaker 2: Like younger men are like definitely ingesting more more and

887
00:50:00,440 --> 00:50:04,640
Speaker 2: more like sexist, misogynistic type content that is sort of

888
00:50:04,680 --> 00:50:08,080
Speaker 2: being more like into this like you know, trad wife ship,

889
00:50:08,960 --> 00:50:12,720
Speaker 2: but also like but with women and like women identifying voters,

890
00:50:12,719 --> 00:50:15,920
Speaker 2: they they're moving to the left. So there is this

891
00:50:16,000 --> 00:50:19,160
Speaker 2: like gender divide with younger people for sure, but to

892
00:50:19,239 --> 00:50:21,720
Speaker 2: the point where like you can just say, like, yo, dude,

893
00:50:21,960 --> 00:50:25,080
Speaker 2: your peep is gonna fucking go poof if you fucking

894
00:50:25,200 --> 00:50:26,160
Speaker 2: vote for Kamala.

895
00:50:26,400 --> 00:50:27,960
Speaker 1: Now, I don't know how you know.

896
00:50:28,280 --> 00:50:30,680
Speaker 6: Affect scientists say?

897
00:50:31,560 --> 00:50:37,160
Speaker 1: Is that which scientists doctor pepper them? Okay, okay, the

898
00:50:37,239 --> 00:50:42,640
Speaker 1: scientists on YouTube are saying doctor Jordan Peterson, I ever

899
00:50:42,680 --> 00:50:46,000
Speaker 1: heard of him? All right, let's take one more break

900
00:50:46,320 --> 00:51:01,040
Speaker 1: and we'll be right back and we're back. And yeah.

901
00:51:01,080 --> 00:51:04,799
Speaker 1: So Netflix has this new show to remake of a

902
00:51:05,600 --> 00:51:11,640
Speaker 1: Danish show Downish called The Last Word, where you interview

903
00:51:11,640 --> 00:51:14,560
Speaker 1: people when they're about to die and then once they

904
00:51:14,600 --> 00:51:19,640
Speaker 1: are dead, you release the episode seems to be the idea,

905
00:51:19,880 --> 00:51:23,120
Speaker 1: and now Netflix is going to do it to American

906
00:51:23,760 --> 00:51:25,080
Speaker 1: nearly dead celebrities.

907
00:51:25,400 --> 00:51:29,279
Speaker 2: I guess I I only know Okay, okay, I know

908
00:51:29,400 --> 00:51:30,520
Speaker 2: Stephen Sondheim is.

909
00:51:30,560 --> 00:51:34,719
Speaker 1: I know who Angela Lansbury is? Who's the screenshot of

910
00:51:35,400 --> 00:51:38,839
Speaker 1: this already exists on the New York Times. The New

911
00:51:38,920 --> 00:51:42,600
Speaker 1: York Times has a like segment called The Last Word

912
00:51:42,840 --> 00:51:47,000
Speaker 1: where they interview like they do this already.

913
00:51:46,680 --> 00:51:49,040
Speaker 2: So oh so the screencap I'm saying it's from the

914
00:51:49,080 --> 00:51:52,000
Speaker 2: New York Times already doing this item already existing.

915
00:51:52,440 --> 00:51:56,680
Speaker 1: Netflix is like, We're gonna go even bigger. The competition

916
00:51:57,000 --> 00:52:00,200
Speaker 1: for nearly dead people interviews is going to be out

917
00:52:00,200 --> 00:52:01,720
Speaker 1: of control. I see.

918
00:52:02,160 --> 00:52:06,040
Speaker 2: I mean there's I get the interest in something like

919
00:52:06,080 --> 00:52:11,320
Speaker 2: that because someone I remember having like very interesting conversations

920
00:52:11,360 --> 00:52:14,239
Speaker 2: with like my older fan, like my older relatives as

921
00:52:14,280 --> 00:52:17,040
Speaker 2: they were sort of on the brink of passing away

922
00:52:17,080 --> 00:52:19,279
Speaker 2: and like the sort of clarity that sometimes people have.

923
00:52:19,960 --> 00:52:24,640
Speaker 2: But yeah, okay, sure, I guess I need to see

924
00:52:24,640 --> 00:52:26,120
Speaker 2: it to know, like, am I that.

925
00:52:26,080 --> 00:52:28,799
Speaker 1: Interested in what Stephen Sondheim has to say? Or is

926
00:52:28,800 --> 00:52:30,240
Speaker 1: he going to say something that's like truly.

927
00:52:30,920 --> 00:52:34,360
Speaker 6: Are they going to say, do they say, like, here's

928
00:52:34,760 --> 00:52:39,520
Speaker 6: what I regret not doing or doing so that people

929
00:52:39,560 --> 00:52:42,040
Speaker 6: can be like, oh my god, right, I have to

930
00:52:42,200 --> 00:52:44,040
Speaker 6: follow my dreams or.

931
00:52:43,920 --> 00:52:46,640
Speaker 2: Like because like they're just you know, sort of at

932
00:52:46,640 --> 00:52:48,600
Speaker 2: the end of their lives, like they just start saying

933
00:52:48,600 --> 00:52:51,359
Speaker 2: shit they really believe the whole time, or we got

934
00:52:51,400 --> 00:52:53,800
Speaker 2: to put all that on the cut and room floor.

935
00:52:54,080 --> 00:52:56,360
Speaker 2: I've never even heard that slur before.

936
00:52:56,600 --> 00:52:59,520
Speaker 1: Is that a word? Even? It's just like a really

937
00:52:59,760 --> 00:53:03,560
Speaker 1: the the interviewer is like, so, spill bitch, what who

938
00:53:03,560 --> 00:53:07,279
Speaker 1: did you really hate? Andrela Lansbury right right, what do

939
00:53:07,320 --> 00:53:12,560
Speaker 1: you think Andrew Lloyd Weber Steven.

940
00:53:11,000 --> 00:53:14,040
Speaker 6: That's good television? Actually that would be right right right?

941
00:53:14,120 --> 00:53:20,719
Speaker 2: So on deaths door Step that's yeah, but not like these, Yeah, sure.

942
00:53:20,800 --> 00:53:21,960
Speaker 1: I could see. I don't know.

943
00:53:21,960 --> 00:53:23,360
Speaker 2: I'm just trying to think of who I'm really that

944
00:53:23,520 --> 00:53:26,360
Speaker 2: interested in because it's also like, for I guess this

945
00:53:26,480 --> 00:53:29,879
Speaker 2: also has no appeal to me generationally, like I when

946
00:53:29,960 --> 00:53:33,040
Speaker 2: I'm in my sixties or seventies. Then if when it's

947
00:53:33,080 --> 00:53:36,160
Speaker 2: like this, this is Jay Z on his deathbed or something.

948
00:53:36,040 --> 00:53:40,120
Speaker 1: They like, what does Sean Carter have to say? Yeah? Yeah,

949
00:53:40,120 --> 00:53:44,640
Speaker 1: it does seem like it's fairly. It's the elderly right there.

950
00:53:44,719 --> 00:53:47,080
Speaker 1: I don't see a version of this where they're like

951
00:53:47,880 --> 00:53:52,360
Speaker 1: getting people who are young and on death store right,

952
00:53:52,600 --> 00:53:55,160
Speaker 1: But maybe, I mean that would be interesting if like

953
00:53:55,719 --> 00:54:01,520
Speaker 1: we had the Chadwick Bozman like interview that rite or

954
00:54:01,560 --> 00:54:02,279
Speaker 1: something like that.

955
00:54:02,480 --> 00:54:04,239
Speaker 2: And I think, but for so many people, that's such

956
00:54:04,280 --> 00:54:06,920
Speaker 2: a private thing, like you know, obviously you struggling with

957
00:54:06,960 --> 00:54:11,200
Speaker 2: cancer privately and didn't tell people, so like, I think

958
00:54:11,200 --> 00:54:14,000
Speaker 2: it probably makes more sense for people who are like, yes,

959
00:54:14,320 --> 00:54:17,280
Speaker 2: I'm getting on in age, I don't mind doing this interview,

960
00:54:17,360 --> 00:54:19,759
Speaker 2: and so I'm like, hey, we heard like you might

961
00:54:19,840 --> 00:54:23,239
Speaker 2: be really sick, right, yeah, do you want to do

962
00:54:23,320 --> 00:54:24,040
Speaker 2: an interview?

963
00:54:24,120 --> 00:54:27,080
Speaker 1: Like I guess that the producing style. I'm curious producing

964
00:54:27,440 --> 00:54:32,320
Speaker 1: like behind the scenes because they're you know, they're every

965
00:54:32,400 --> 00:54:37,840
Speaker 1: news outlet has their oh bits that are on deck,

966
00:54:38,239 --> 00:54:41,399
Speaker 1: you know, for very famous people who they think might

967
00:54:41,520 --> 00:54:46,279
Speaker 1: die soon. But they they don't like reach out to

968
00:54:46,360 --> 00:54:48,560
Speaker 1: the celebrity to be like, hey, could you fact check

969
00:54:48,600 --> 00:54:51,200
Speaker 1: this oh bit for us real quick? Because we think

970
00:54:51,200 --> 00:54:54,760
Speaker 1: you're about to die. So just reaching out to somebody

971
00:54:55,200 --> 00:54:57,560
Speaker 1: and being like, hey, you're about to die, right and

972
00:54:57,600 --> 00:55:04,080
Speaker 1: have them be like no feels like, I don't think

973
00:55:04,120 --> 00:55:08,560
Speaker 1: someone how far along they are, come on, don't they don't? Honey?

974
00:55:09,080 --> 00:55:11,880
Speaker 6: Yeah, that's why they need this cat producer who just

975
00:55:12,000 --> 00:55:14,359
Speaker 6: can sends people are going to die and they just

976
00:55:14,640 --> 00:55:16,719
Speaker 6: then they blame everything on the cat.

977
00:55:16,840 --> 00:55:21,319
Speaker 2: Right, easy, exactly exactly, that's smart to Yeah, I mean

978
00:55:21,840 --> 00:55:25,279
Speaker 2: I'm really curious to know like who the who the

979
00:55:25,320 --> 00:55:27,320
Speaker 2: episodes are going to be on before I can truly

980
00:55:27,360 --> 00:55:30,360
Speaker 2: be like, oh that might be interesting, but yeah, I

981
00:55:30,400 --> 00:55:33,400
Speaker 2: don't know. I've also, we live in a world controlled

982
00:55:33,400 --> 00:55:34,800
Speaker 2: by people about to die.

983
00:55:34,760 --> 00:55:38,200
Speaker 1: So I'm like, I can't do they have the Biden

984
00:55:38,320 --> 00:55:41,840
Speaker 1: interview recorded already? You know, like that that would be

985
00:55:41,880 --> 00:55:44,600
Speaker 1: the intriguing thing, is like the making of this show

986
00:55:45,239 --> 00:55:47,759
Speaker 1: or you see the listening, like these people are all alive?

987
00:55:48,000 --> 00:55:54,360
Speaker 1: Wait right they have presumably they have a bunch of

988
00:55:54,400 --> 00:55:57,759
Speaker 1: shows banked with people who are still alive that we

989
00:55:58,360 --> 00:56:01,000
Speaker 1: might not realize or like out to die. So like

990
00:56:01,440 --> 00:56:04,480
Speaker 1: that they just need to make a website with all

991
00:56:04,520 --> 00:56:08,720
Speaker 1: the names like interested list, and then like have already

992
00:56:08,800 --> 00:56:12,840
Speaker 1: interviewed you know, Jimmy Carter? Is have they done the

993
00:56:12,880 --> 00:56:16,200
Speaker 1: Jimmy Carter interview? Did they do the Henry Kissinger interview?

994
00:56:17,200 --> 00:56:25,120
Speaker 1: Jimmy Carter is still fucking alive hanging around. Yeah, all right,

995
00:56:25,480 --> 00:56:28,600
Speaker 1: Caitlin Dorante, what a pleasure having you on the daily Zite.

996
00:56:28,640 --> 00:56:30,560
Speaker 6: Guys, gosh, thank you for having me.

997
00:56:30,960 --> 00:56:34,280
Speaker 1: Where can people find you and follow you and hear you.

998
00:56:34,280 --> 00:56:39,719
Speaker 6: You can hear me on the Bachtel Cast. It's available

999
00:56:39,760 --> 00:56:46,120
Speaker 6: on all the freaking platforms and podcasts listening places that

1000
00:56:46,239 --> 00:56:51,640
Speaker 6: I co host with Jamie Loftus. And we are doing

1001
00:56:52,000 --> 00:56:57,040
Speaker 6: a We're like introducing a screening of the movie Chicken

1002
00:56:57,120 --> 00:57:01,240
Speaker 6: Run in Los Angeles, So if you live in the area,

1003
00:57:01,640 --> 00:57:06,640
Speaker 6: come to the Los Felis three Theater. It's American Cinema

1004
00:57:06,680 --> 00:57:11,240
Speaker 6: Tech has is like sponsoring a Friend of the Fest

1005
00:57:11,600 --> 00:57:16,800
Speaker 6: podcast festival where they're having podcasters introduce screenings of movies.

1006
00:57:16,960 --> 00:57:20,920
Speaker 6: So we're doing Chicken Run. It's on August twenty fifth

1007
00:57:20,960 --> 00:57:25,400
Speaker 6: at four pm. Tickets for that are on the Bechtel

1008
00:57:25,440 --> 00:57:30,080
Speaker 6: Cast link tree, so link tree slash Bechtel Cast. And

1009
00:57:30,360 --> 00:57:31,919
Speaker 6: uh yeah, I'm pretty excited about that.

1010
00:57:32,440 --> 00:57:33,000
Speaker 1: Is that one of you?

1011
00:57:33,800 --> 00:57:36,040
Speaker 6: It's one of my faves. It's yeah, it's have you

1012
00:57:36,080 --> 00:57:36,480
Speaker 6: seen it?

1013
00:57:36,960 --> 00:57:39,160
Speaker 1: I saw when it came out. I mean that was

1014
00:57:39,200 --> 00:57:41,880
Speaker 1: just by the same people who may the sheep and

1015
00:57:42,240 --> 00:57:47,280
Speaker 1: yes and yeah, yeah, I don't know if I've seen

1016
00:57:47,360 --> 00:57:49,840
Speaker 1: Chicken Run specifically, I've seen a lot of their work.

1017
00:57:50,120 --> 00:57:54,120
Speaker 6: Well, come to the screening on August twenty fifth, bring

1018
00:57:54,160 --> 00:57:56,000
Speaker 6: your kids. It's a family friendly.

1019
00:57:56,200 --> 00:57:57,080
Speaker 1: That's a Sunday too.

1020
00:57:57,320 --> 00:58:02,920
Speaker 6: It's a Sunday exactly four pm. Not a reasonable hour anyway,

1021
00:58:02,960 --> 00:58:07,479
Speaker 6: So there's that, And you can follow me personally on

1022
00:58:07,680 --> 00:58:11,680
Speaker 6: Instagram at Caitlin Durante. And then I have some screenwriting

1023
00:58:11,760 --> 00:58:17,840
Speaker 6: classes that I'm teaching coming up in September, so I

1024
00:58:17,920 --> 00:58:20,840
Speaker 6: have my intro class, so if you're like brand new

1025
00:58:20,920 --> 00:58:24,120
Speaker 6: and fresh to screenwriting, that's the one for you. I

1026
00:58:24,160 --> 00:58:27,920
Speaker 6: also teach workshopping classes, so if you already have a

1027
00:58:27,920 --> 00:58:31,520
Speaker 6: bit of a background in writing for the screen and

1028
00:58:31,560 --> 00:58:33,520
Speaker 6: you're working on something and you want to bring it

1029
00:58:33,560 --> 00:58:37,280
Speaker 6: in and workshop it and get notes from your fellow

1030
00:58:37,320 --> 00:58:40,880
Speaker 6: students and from myself, you can take that class. And

1031
00:58:41,280 --> 00:58:45,760
Speaker 6: all of that is on my website Caitlindurante dot com

1032
00:58:46,120 --> 00:58:47,920
Speaker 6: slash classes.

1033
00:58:48,680 --> 00:58:54,440
Speaker 1: Wow. Wow, amazing. And is there a work of media

1034
00:58:54,560 --> 00:58:55,560
Speaker 1: that you've been enjoying.

1035
00:58:56,320 --> 00:58:59,560
Speaker 6: I saw the movie DD a couple days ago, and

1036
00:58:59,680 --> 00:59:05,680
Speaker 6: I I'd recommend that it's a coming of age Story.

1037
00:59:05,720 --> 00:59:08,360
Speaker 6: It's technically a period piece because it's set in two

1038
00:59:08,360 --> 00:59:09,000
Speaker 6: thousand and eight.

1039
00:59:09,320 --> 00:59:13,160
Speaker 1: Okay, oh my god, right, how did they remember?

1040
00:59:14,040 --> 00:59:18,360
Speaker 6: How did they do it? But yeah, it's very much

1041
00:59:18,400 --> 00:59:21,160
Speaker 6: in the vein of like eighth grade. If you enjoyed

1042
00:59:21,160 --> 00:59:25,040
Speaker 6: that movie, so I'd recommend dd I liked it quite

1043
00:59:25,040 --> 00:59:25,280
Speaker 6: a bit.

1044
00:59:25,360 --> 00:59:29,120
Speaker 1: D d I amazing Miles. Where can people find you

1045
00:59:29,160 --> 00:59:31,040
Speaker 1: as their work media you've been enjoying?

1046
00:59:31,360 --> 00:59:34,000
Speaker 2: Yeah, yeah, yeah, find me on Twitter and Instagram at

1047
00:59:34,000 --> 00:59:36,560
Speaker 2: Miles of Gray. If you like basketball, I just saw

1048
00:59:36,600 --> 00:59:39,000
Speaker 2: that Anthony Davis got.

1049
00:59:38,680 --> 00:59:41,280
Speaker 1: Injured during the Team USA game.

1050
00:59:41,920 --> 00:59:45,440
Speaker 2: He did by as we record this on Wednesday, I'm

1051
00:59:45,480 --> 00:59:48,360
Speaker 2: a Laker fan in disarray at the moment. But if

1052
00:59:48,360 --> 00:59:49,760
Speaker 2: you want to hear us talk about the NBA and

1053
00:59:49,800 --> 00:59:51,720
Speaker 2: basketball in general, you can also find that on Miles

1054
00:59:51,720 --> 00:59:53,800
Speaker 2: and checkot mat Boosti's And if you want to hear

1055
00:59:53,800 --> 00:59:56,160
Speaker 2: me talk about ninety Day Fiance, that show is called

1056
00:59:56,360 --> 00:59:57,520
Speaker 2: for twenty Day Fiance.

1057
00:59:58,160 --> 01:00:00,240
Speaker 1: I'm just dealing with just seeing that trending on the

1058
01:00:00,240 --> 01:00:02,480
Speaker 1: Internet and I'm like, that's not good. I don't know

1059
01:00:02,520 --> 01:00:04,680
Speaker 1: what the extentive is of a one piece of media

1060
01:00:04,840 --> 01:00:05,680
Speaker 1: you didn't enjoy.

1061
01:00:07,280 --> 01:00:10,920
Speaker 2: Let's see a couple of tweets I like. One is

1062
01:00:10,920 --> 01:00:15,440
Speaker 2: from at kunt Fried. Rice tweeted my body is not

1063
01:00:15,560 --> 01:00:18,320
Speaker 2: a temple, It's a World trade center and every day

1064
01:00:18,400 --> 01:00:23,800
Speaker 2: is nine to eleven and at a Shikhupar tweeted, Hey guys, I'm.

1065
01:00:23,640 --> 01:00:28,160
Speaker 1: Hearing it's weird to approve arms shipments to Israel. Yeah.

1066
01:00:28,320 --> 01:00:30,160
Speaker 1: I think I think that is weird too. I think

1067
01:00:30,200 --> 01:00:32,440
Speaker 1: we need to look into that as well. Amazing.

1068
01:00:32,800 --> 01:00:35,920
Speaker 7: You can find me on Twitter at Jack Underscore O'Brien

1069
01:00:36,400 --> 01:00:42,040
Speaker 7: tweet I've been enjoying. Terran tweeted parentheses driving stones. Wow,

1070
01:00:42,240 --> 01:00:47,200
Speaker 7: this should not be legal. That was my.

1071
01:00:47,440 --> 01:00:50,920
Speaker 1: Experience of driving stones. Very scared.

1072
01:00:52,960 --> 01:00:56,120
Speaker 7: You can find us on Twitter at Daily Zeitgeist. We're

1073
01:00:56,120 --> 01:00:59,920
Speaker 7: at the Daily Zeitgeist on Instagram. We have a Facebook

1074
01:01:00,040 --> 01:01:03,439
Speaker 7: hamdpage on a website where we link off to the

1075
01:01:03,520 --> 01:01:06,760
Speaker 7: episodes and our footnote no, which is where we link

1076
01:01:06,800 --> 01:01:09,840
Speaker 7: off to the information that we talked about in today's episode,

1077
01:01:09,920 --> 01:01:13,720
Speaker 7: as well as a song that we think you might enjoy. Miles,

1078
01:01:14,040 --> 01:01:15,960
Speaker 7: what is a song that you think.

1079
01:01:16,880 --> 01:01:19,920
Speaker 2: The people look I'm all about just having some nice

1080
01:01:20,000 --> 01:01:24,480
Speaker 2: vibrations because it's already August and I told fucking November

1081
01:01:24,560 --> 01:01:25,400
Speaker 2: to tickets.

1082
01:01:25,080 --> 01:01:26,600
Speaker 1: Sweet Time November.

1083
01:01:26,880 --> 01:01:29,520
Speaker 2: But this is a really dope track from this composer,

1084
01:01:29,600 --> 01:01:33,200
Speaker 2: Giuliano Sergini, who is like one of these like iconic

1085
01:01:33,400 --> 01:01:35,720
Speaker 2: sort of Italian composers who made a lot of move

1086
01:01:35,840 --> 01:01:39,080
Speaker 2: like like theme songs and scores for like Italian television.

1087
01:01:39,560 --> 01:01:40,360
Speaker 1: This track is.

1088
01:01:40,320 --> 01:01:44,880
Speaker 2: Called Lavoro cerebra l A v O r O c

1089
01:01:45,120 --> 01:01:48,280
Speaker 2: E r E b r A l E. And it's like,

1090
01:01:48,480 --> 01:01:51,040
Speaker 2: just got this, like you feel like it's you're the

1091
01:01:51,280 --> 01:01:54,120
Speaker 2: like it's the opening theme song for a movie about

1092
01:01:54,160 --> 01:01:58,320
Speaker 2: you and you're driving a convertible like in eighties Italy

1093
01:01:58,520 --> 01:02:01,240
Speaker 2: or something. It just feels like it's like feels good

1094
01:02:01,280 --> 01:02:02,800
Speaker 2: when you listen to it, You're like, I can't get

1095
01:02:02,800 --> 01:02:05,560
Speaker 2: stressed listen but having this playing right now, and so

1096
01:02:06,000 --> 01:02:08,880
Speaker 2: I extend this opportunity to you, the listener to check

1097
01:02:08,920 --> 01:02:11,640
Speaker 2: this track out by Giuliano Orgini Lavoro.

1098
01:02:13,240 --> 01:02:15,880
Speaker 7: All right, we will link off to that in the footnote.

1099
01:02:16,200 --> 01:02:18,920
Speaker 7: The Daily Zeitgeiser is a production of iHeartRadio. For more

1100
01:02:18,960 --> 01:02:22,520
Speaker 7: podcasts from iHeartRadio, visit the iHeartRadio app, Apple podcast, or

1101
01:02:22,520 --> 01:02:24,240
Speaker 7: wherever you're listening your favorite shows.

1102
01:02:24,280 --> 01:02:26,600
Speaker 1: That is gonna do it for us. This morning. We

1103
01:02:26,640 --> 01:02:29,000
Speaker 1: are back this afternoon to tell you what is trending,

1104
01:02:29,400 --> 01:02:30,720
Speaker 1: and we will talk to you all time.

1105
01:02:30,880 --> 01:02:34,160
Speaker 7: Bye bye bye