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Speaker 1: Hello the Internet, and welcome to season three ten, Episode.

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Speaker 2: Four of Dally's Guys Way production of iHeartRadio.

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Speaker 1: This is a podcast where we take a deep dive

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Speaker 1: into America share consciousness. And it is Thursday, October twenty sixth,

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Speaker 1: twenty twenty three.

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Speaker 3: Hey you know what that means?

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Speaker 1: Hey?

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Speaker 2: Is National Tennessee Day. Shout out to Memphis Tennekee.

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Speaker 1: Uh national our guests today coming to us from Tanicke.

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Speaker 1: If we're allowed to say that, I don't know, do

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Speaker 1: you acknowledge?

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Speaker 4: I mean it is Nashville really a part of Tennessee.

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Speaker 4: It's kind of the same way and that like if

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Speaker 4: you say somebody's from Techa, Yeah, Austin's part of Texas.

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Speaker 4: It's like if there was a new Civil War. I

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Speaker 4: you know, Tennessee.

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Speaker 3: Man, I hear that.

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Speaker 4: I hear that twang in your boy.

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Speaker 2: You're a good old boy. Yeah, exactly. And Tenekee a

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Speaker 2: reference to the former gunit rapper Young Buck, who hailed

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Speaker 2: from Tennessee. I think that was his moniker, mister Tenikee. Anyway,

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Speaker 2: National Meal Day, National mince Meat Day, and National Pumpkin Day.

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Speaker 3: Wow.

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Speaker 1: So this is the one, Yes, this is the one

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Speaker 1: where we get all our pumpkins in we're here it

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Speaker 1: is pumpkin season. Yeah, and they've got the day, so

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Speaker 1: appreciate it. Also, mince meat, I've never really is it?

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Speaker 2: Is it just ground beef?

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Speaker 1: Is that what it is?

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Speaker 2: Well, like a mince like a traditional one will have

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Speaker 2: also like fruit in it. Sometimes it's mince meat pie. Yeah,

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Speaker 2: meat pie. Yeah, it's like it's to celebrate mince meat pie. Okay, great,

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Speaker 2: don't care because you imagine National ground Beef Day, I mean,

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Speaker 2: based on what we've seen, that is very possible.

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Speaker 1: Yeah yeah, yeah yeah, every day. Yeah, every day's National

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Speaker 1: ground chuck Day. My name is Jack O'Brien aka. Just

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Speaker 1: thinking about my lambeau clears away the piss pants and

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Speaker 1: the sorrow till there's none. When I'm here with Miles

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Speaker 1: Gray and hose me yay, I just shine up my

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Speaker 1: thigh and rise and say, oh, how do I get

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Speaker 1: my lambeau? Got a rising grind to get to lambo?

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Speaker 1: Come what may get Lambeau? Get lambo?

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Speaker 3: Grind?

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Speaker 2: Set to get Lambeau?

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Speaker 1: You're always a day oh away. That is Curtsey of

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Speaker 1: the Blake Rogers. The Blake Rogers said, better hear those

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Speaker 1: pipes Jack sing it to the cheap seats. He is

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Speaker 1: my best to honor you, sir, and I'm thrilled to

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Speaker 1: be joined as always buy my co.

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Speaker 2: Host, mister Miles Gray. Miles Gray aka I steep.

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Speaker 3: My oolong and out of mugs.

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Speaker 2: Whither are you? Gambo Mill makes a book? When I

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Speaker 2: sell to you shout out to Alicia T's obviously Alicia

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Speaker 2: keys te brand uh in that uh to the tune

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Speaker 2: of Fallen by Alicia Keese talking about her teas shout

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Speaker 2: out to fight her the Nightmaan on the discord, bringing

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Speaker 2: that wonderful celebrity business concept to the listener's ears.

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Speaker 1: All right, well, Miles, we are thrilled to be joined

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Speaker 1: in our third seat by the best selling author of

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Speaker 1: books like Oh I Don't Know John Dies at the End,

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Speaker 1: Zoe punches the future and the Dick and the News.

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Speaker 1: Zoe is too drug for this dystopia which out now?

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Speaker 3: Can we?

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Speaker 4: Is it out out on Halloween Tuesday this coming Tuesday.

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Speaker 1: Also one of the hosts of the podcast Big Feats, which,

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Speaker 1: if I'm reading this Paris Review article correctly, is the

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Speaker 1: only Mountain Monsters podcast officially endorsed by Big Feats. He's

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Speaker 1: my former coworker at Crack dot Com and co creator

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Speaker 1: of the Crack podcast. Welcome back to the show, Jason Pardon.

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Speaker 4: There are certain people listening to us who are hearing

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Speaker 4: me on a podcast for the eighth time in the

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Speaker 4: last week.

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Speaker 1: Are round to you.

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Speaker 4: I apologize. I booked a total of twenty two podcast

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Speaker 4: appearances and this is the last one because they were

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Speaker 4: all in the run up to the way book promotion goes,

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Speaker 4: you promote in advance. It's kind of like Christmas how

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Speaker 4: you start celebrating Christmas in August in the United States.

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Speaker 4: It's kind of like that. You promote in advance to

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Speaker 4: build up pre orders. And I've been promoting for the

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Speaker 4: past I don't know, three years for this book and

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Speaker 4: finally it is here. But this in the last few weeks,

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Speaker 4: I've booked basically every podcast that will have me to

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Speaker 4: let people know that the book is coming. There are

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Speaker 4: a lot of audiobook listeners in your audience. That is

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Speaker 4: something I have learned because I guess they see audiobooks

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Speaker 4: is just another kind of podcast.

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Speaker 1: Yeah, it's like, what if this podcasts out something? Yeah,

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Speaker 1: what if this podcast was fact checked and didn't have

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Speaker 1: people randomly singing at the beginning of it. Well, it's

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Speaker 1: all been leading up to this, Jason that thank you

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Speaker 1: for joining us. How has the twenty two podcasts?

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Speaker 4: Like?

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Speaker 1: Is it just a blur of podcast? Do you even

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Speaker 1: know what podcast you're on?

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Speaker 3: Right? Yeah?

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Speaker 1: This isn't Rogan Man all right.

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Speaker 4: So the ones that are the toughest are the interviews

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Speaker 4: where they want to ask me about my process and

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Speaker 4: all that. They're all very nice people. Nobody is out

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Speaker 4: to grill me. But that's to.

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Speaker 2: Me the least.

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Speaker 4: The least interesting subject for me to discuss is myself

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Speaker 4: and what goes through my mind when writing books. I

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Speaker 4: realized that fans find it interesting, but I think most

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Speaker 4: creative people would prefer to prefer to talk about something

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Speaker 4: else unless they are just terrible people.

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Speaker 1: Yeah, they don't understand it, right, Like it's hard to

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Speaker 1: like figure out your process or it seems boring to you, right.

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Speaker 4: Well? Also, my process for writing books is not like

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Speaker 4: Hunter S. Thompson. I didn't get high and go in

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Speaker 4: the desert for nine months and then go undercover with

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Speaker 4: the Hell's Angels.

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Speaker 2: It is it is a story.

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Speaker 4: I just yea, I came about what your process was.

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Speaker 3: That was it? Right there.

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Speaker 1: Yeah, well sorry I cut you off. J Miles, what

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Speaker 1: were you saying?

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Speaker 2: Oh no, I was just saying. I mean it's talking

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Speaker 2: about process. I'm sure can be boring to you, but

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Speaker 2: if it's something different, right, I think, like for creative people,

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Speaker 2: it's good to hear or people who are aspiring to

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Speaker 2: do creative work, just to even hear people demystified to

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Speaker 2: be like, yeah, there's nothing like really special about it.

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Speaker 2: It's just something I do by expressing myself because I

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Speaker 2: feel like a lot of the times it's easy to

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Speaker 2: build it up in your head. It's like, what's my

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Speaker 2: mythical fucking process that's so different? And sometimes it is

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Speaker 2: like refreshing to hear people whose work you like, just

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Speaker 2: to be like, yeah, just just kind of have ideas

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Speaker 2: and just kind of toy with them and yeah, it's

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Speaker 2: nothing really wild like that.

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Speaker 1: Bob Dylan is the most fascinating person to hear talk

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Speaker 1: about everything except like Bob Dylan songs, and then he

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Speaker 1: becomes like completely incoherent and you're just like, what the

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Speaker 1: fuck is.

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Speaker 3: He talking about? I thought this guy was smart.

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Speaker 4: And likewise, Quentin Terrence, if you ask him about cinema

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Speaker 4: fascinating to listen to, fascinating, like the science of cinema, storytelling, writing,

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Speaker 4: He can talk about that stuff. He knows more, He's

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Speaker 4: forgotten more than most filmmakers ever know. If you listen

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Speaker 4: to him speak on any other subject. The most insufferable man, Yeah,

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Speaker 4: the most uninformed opinions, the most just you get him

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Speaker 4: talking about screenwriting or storytelling or the history, like he

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Speaker 4: has seen every movie. Yeah, it's like, let's just talk

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Speaker 4: about that. But yeah, I.

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Speaker 2: Saw like a thing. It was probably like an old

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Speaker 2: clip where people were just reading him the like the

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Speaker 2: back of like vhs like B movies to see if

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Speaker 2: he could kind of figure out what the movie was.

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Speaker 2: And he was like, to your point, I mean, I know, you,

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Speaker 2: like worked in a video store, and that is like

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Speaker 2: a sort of a huge part of him, like ingesting

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Speaker 2: so much media. But it was wild how pretty accurate

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Speaker 2: he was with things I had never even heard of.

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Speaker 1: So, yeah, I just watched a B movie recommended by him. Well, like,

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Speaker 1: so he programs it. Wait, we might even talk about

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Speaker 1: this a little bit later on, but he programs an

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Speaker 1: entire movie theater here in Los Angeles, the New BEV,

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Speaker 1: And he also recommends this movie My Bloody Valentine as

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Speaker 1: like a good He said it's his favorite slasher movie

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Speaker 1: and I watched that last weekend and it is terrible

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Speaker 1: and also like, I highly recommend it. It's like a

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Speaker 1: lot like he knows what he's talking about. Absolutely when

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Speaker 1: it comes to b movies, he's it's a it's a

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Speaker 1: great time at the movies. Anyways, Jason, we're gonna get

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Speaker 1: to know you a little bit better in a moment. First,

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Speaker 1: we're gonna tell our listeners a couple of the things

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Speaker 1: that we're talking about. They did elect a speaker of

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Speaker 1: the House. I don't know we can talk about that.

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Speaker 1: We probably talked about it on Yesterday's Trending so but

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Speaker 1: we might. Well we'll mention it briefly.

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Speaker 2: Turns out he's a piece of crap. Turns out real

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Speaker 2: piece of shit. Hey, speaking of real pieces of shit.

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Speaker 2: This serial killer, that's right, I said it. This serial killer,

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Speaker 2: the kill Go Beach serial killer. Not a good guy.

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Speaker 1: But also the the cops did a It's just like

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Speaker 1: more in the deprogramming of my brain from a lifetime

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Speaker 1: of being watching cop movies and shit like that. And

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Speaker 1: then every time I read a story about the actual

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Speaker 1: investigation that ends up, you know, finding finding a killer

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Speaker 1: or not finding a killer. It's always just like shocking

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Speaker 1: incompetence on the part of the police. So I just

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Speaker 1: wanted to there's a New York Times article about the

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Speaker 1: process of eventually arresting this serial killer in Long Beach

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Speaker 1: or Long Island, not Long Beach, Long Island near New

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Speaker 1: York City, and how it happened. All of that plenty more.

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Speaker 1: But before we get to it, Jason, we do like

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Speaker 1: to ask our guests, what is something from your search history?

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Speaker 4: Yes, yesterday I searched can a president serve from prison? Yeah,

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Speaker 4: because if the the elections hell today, not only would

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Speaker 4: Donald Trump win, he would win so easily that as

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Speaker 4: soon as they closed the polls they would announce he

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Speaker 4: had won. He's ahead in most of the swing states.

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Speaker 4: But also it looks like the odds are he will

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Speaker 4: lose some of these court cases and possibly wind up

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Speaker 4: in prison. So him winning the presidency from jail at

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Speaker 4: this moment is the statistical most likely outcome. So I

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Speaker 4: was trying to figure out can you do that? And

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Speaker 4: the answer is it's never happened before, so we don't know.

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Speaker 2: Yeah, I mean, what is a does he get like

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Speaker 2: a briefing through like the plate glass and like on

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Speaker 2: that phone, you know, like how to even do that

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Speaker 2: kind of shit?

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Speaker 4: I see, This is what I was searching, because every

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Speaker 4: article I ran into, they were digging into like the

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Speaker 4: constitutional rules of is there anything that prevents him from

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Speaker 4: serving an office? And the answer is no, unless there's

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Speaker 4: some possible thing that if you can, you know, claim

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Speaker 4: that he rebelled against the government, that could prevent him

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Speaker 4: from holding off or whatever. I was more looking at

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Speaker 4: the logistics up, Yeah, like wouldn't he be considered incapacitated

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Speaker 4: because he can't perform the functions of the head of state,

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Speaker 4: He can't do those meetings, he can't do like that

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Speaker 4: would be against all sorts of rules of his incarceration.

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Speaker 4: So would you just be electing his vice president, which

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Speaker 4: again we don't know who that is, and it is

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Speaker 4: so unprecedented, apparently it's never been considered before.

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Speaker 3: Yeah.

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Speaker 2: I remember reading things about like what would happen if

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Speaker 2: he went to jail, not really talking about if it's

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Speaker 2: possible that he is president from there. And a lot

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Speaker 2: of people are pointing out because you have that like

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Speaker 2: lifetime secret Service detail, the logistics of trying to protect

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Speaker 2: someone who's incarcerated, like that already becomes like murky, and

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Speaker 2: a lot of people are like, maybe it would just

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Speaker 2: end up being house arrest because of like that fact

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Speaker 2: or whatever. But yeah, there's a lot of unanswered questions

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Speaker 2: as to like mechanically how any of that wor.

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Speaker 1: Think we're like picturing him in an orange jumpsuit in

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Speaker 1: prison yard the prison yards that we've seen in movies,

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Speaker 1: and I don't think there's any way that ends up happening, right,

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Speaker 1: Like they're gonna come up with some modified solution where

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Speaker 1: he is like or a deferred sentence or something along

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Speaker 1: those lines. But I also don't think the jail that

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Speaker 1: he would go to, even if were he not elected president,

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Speaker 1: would look anything like the jails that we're imagining.

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Speaker 2: Yeah, Like it wouldn't be like san Quentin in the

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Speaker 2: Metallica video.

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Speaker 1: No, Like yeah, oh, I feel like he would be

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Speaker 1: like he would have a lot of credibility and you

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Speaker 1: know who knows.

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Speaker 2: I mean again, that's like that thought experiment is also wild,

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Speaker 2: Like what happens if he were to go in gen pop?

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Speaker 2: Like you know, the skinheads are.

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Speaker 3: Like, hey man, we got your back.

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Speaker 4: Don't worry.

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Speaker 3: Does it go for bullwarth on us is that?

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Speaker 1: Yeah, it's impossible to know.

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Speaker 2: It's crazy.

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Speaker 1: Yeah, so we don't spend a lot of time paying

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Speaker 1: attention to pulling, but just generally he underpolls, like he

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Speaker 1: doesn't perform well in as well in polls as he

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Speaker 1: does in elections, and he is winning in the poll. Yeah,

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Speaker 1: like you're you're right, it's pretty like stagger, like he's

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Speaker 1: if the election is tomorrow, and it's not like he's

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Speaker 1: riding a wave of good fortune at this point. He

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Speaker 1: is winning the election while being the most indicted human

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Speaker 1: being in the United States. So I don't know what happens,

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Speaker 1: but it does feel like we are headed towards you know,

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Speaker 1: an answer on this experiment.

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Speaker 3: Yeah, we're really fucked up for sure.

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Speaker 1: Cool country, Jason.

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Speaker 2: What's something you think is overrated?

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Speaker 4: I know for a fact I have said this on

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Speaker 4: previous appearances, but Twitter as a place to follow a

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Speaker 4: big news story, as bad as it may have been

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Speaker 4: in the past, it's now you now can't use it

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Speaker 4: for that. And I'm saying that. You say, well, who

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Speaker 4: still thinks that? I'm telling you a lot of people

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Speaker 4: are trying to use it for that because following the

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Speaker 4: situation in Gaza with Israel, Twitter became instantly became such

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Speaker 4: a cesspool of misinformation, faked clips, faked headlines. It became

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Speaker 4: usually before if you knew who to follow, you could

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Speaker 4: sort through the garbage and track what was actually happening

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Speaker 4: with a mass shooting or Ukraine or something that situation.

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Speaker 4: From the moment it happened in early October the seventh

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Speaker 4: or whatever it was, From this the very start, it

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Speaker 4: just became a fog of war, of lies and propaganda

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Speaker 4: and AI deep fakes and everything whatever. All of the

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Speaker 4: people Elon Musk has fired from the Trust and Safety team,

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Speaker 4: all of those moderators, all those people that he thought

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Speaker 4: was constraining the freedom of speech. Now with this event

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Speaker 4: not just a big event, but an emotionally charged event

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Speaker 4: that a highly put sized one, this was the one

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Speaker 4: that totally broke Twitter for me in terms of a

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Speaker 4: place to learn information, right, because I found myself knowing

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Speaker 4: less about the situation spending an hour on Twitter than

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Speaker 4: if I just didn't read anything at all.

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Speaker 2: Right, Yeah, because like on top of the lack of moderation,

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Speaker 2: there's also just like just a general fog of war,

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Speaker 2: and I think a lot of times we think that

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Speaker 2: we can get like you know, news from the front

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Speaker 2: line in real time and like in an environment where

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Speaker 2: journalists on the ground have limited access to things, and

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Speaker 2: then we're like, yeah, but it's tweeted, so this must

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Speaker 2: be what's happening. There's like so many layers to sort

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Speaker 2: of combat and go through that. Yet like it's, yeah,

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Speaker 2: we were talking about this like for the last couple

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Speaker 2: of weeks. It's just it's impossible to like find solid

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Speaker 2: ground on certain things.

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Speaker 3: Yeah, it's a mess.

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Speaker 1: It feels like in hearing people when you hear people

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Speaker 1: interviewed who worked for Twitter prior to La Musk, and

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Speaker 1: like they felt like they were just racing from like

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Speaker 1: one crack in the damn to the other, just like

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Speaker 1: barely holding it together, you know, like working around the

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Speaker 1: clock to like stop disinformation. They're in a race with

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Speaker 1: all these you know, the forces of capital and the

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Speaker 1: forces of you know, just any people chaos, just wanting

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Speaker 1: to like sew disinformation discord, and you know they suddenly stopped.

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Speaker 1: They're like, you know, it's it's like that this was

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Speaker 1: a around the clock pursuit just to like keep it

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Speaker 1: usable serviceable right still with lots of disinformation and then

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Speaker 1: he just fired all of them. So yeah, it's just

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Speaker 1: it's a deluge of bullshit at this point.

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Speaker 4: Unfortunately that you can pay to have your your signal boosted,

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Speaker 4: if you know, for eight bucks. Yeah, so it's like,

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Speaker 4: well that's now what filters up. But that's a very

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Speaker 4: small amount to pay if you've got an agenda you

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Speaker 4: want to push. And again, if you are just on

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Speaker 4: there because you want to yell at people and quote

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Speaker 4: tweet people and try to score points from your for

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Speaker 4: your side and have a bunch of arguments and basically

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Speaker 4: take something like the the the bombing of that hospital

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Speaker 4: and turn it into just dunking on each other the

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Speaker 4: way two sports fandoms do. Then Twitter is still great

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Speaker 4: for that if you're trying to just find out what's

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Speaker 4: going on, Like I just want to know what's going on.

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Speaker 4: I want to be I'm not on there to try

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Speaker 4: to dunk on people. I want to know what has happened.

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Speaker 4: Impossible if there's such a just a torrent of people

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Speaker 4: yelling genocide at each other and just saying the most

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Speaker 4: horrible things they can say, and then you've got the

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Speaker 4: actual Nazis joining in, right, It's like why I don't

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Speaker 4: want to be on their side, but it's like why

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Speaker 4: am I seeing them at all?

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Speaker 3: Yeah?

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Speaker 4: Right, It's like, oh, now, now I remember, this is

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Speaker 4: the new Twitter. This is not Twitter.

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Speaker 2: This is X eight bucks, where you have like real

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Speaker 2: neo Nazi type people who have like the like squeaky

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Speaker 2: clean app guitar and suddenly like they've become the source

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Speaker 2: of news. But a lot of people are pointing out

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Speaker 2: there like, uh, this guy's an actual Nazi, so like

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Speaker 2: be careful what his like actual sentiments are here, Like

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Speaker 2: this sort of conveniently overlaps with his worldview, and there

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Speaker 2: isn't like he doesn't have actual care for anyone in

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Speaker 2: this situation. He's just able to try and attack, you know,

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Speaker 2: like the like Jewish people as a whole. And I've

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Speaker 2: seen like there's a couple accounts like that where I've

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Speaker 2: been like, oh, this person's posting a lot, and then

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Speaker 2: like other sort of extremist monitoring people are like, this

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Speaker 2: person's a fucking Nazi.

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Speaker 3: Like just so you know, don't get your fucking news

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Speaker 3: from him.

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Speaker 4: Profits from your engagement now, yeah, yeah, because remember that's

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Speaker 4: not part of the model. So if they make you

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Speaker 4: angry enough, like you, you're putting money in their pockets.

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Speaker 4: Do you understand they're getting paid for your dunks now?

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Speaker 4: But anyway, so please everyone stop using it for that.

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Speaker 4: We shouldn't be using it at all. I realize that,

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Speaker 4: but but it's hard to give it up.

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Speaker 3: Yeah, yeah, what is what?

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Speaker 2: Something you think is underrated?

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Speaker 4: Apparently we've been severely underrating the money making potential of

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Speaker 4: movies for adults. The Scorsese film did very well last week,

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Speaker 4: and now it had an incredibly high budget, but it

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Speaker 4: performed very well. And obviously this is coming off the

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Speaker 4: summer when the Oppenheimer movie, a biopic of Freakin' Robert Oppenheimer,

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Speaker 4: made of a billion dollars worldwide, made more than any

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Speaker 4: of the recent Marvel movies has made. There is clearly

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Speaker 4: they have clearly created a void of demand for movies

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Speaker 4: for grown ups. And it's because once one time the

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Speaker 4: narrative was, well, it's just it's just Tom Cruise, the

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Speaker 4: last movie star. He's the only one keeping at the loft.

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Speaker 4: It's like, no, not really, the last question of possible

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Speaker 4: movie did not do well, But there clearly are adults

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Speaker 4: who want to go out to the theater with their families,

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Speaker 4: or and not watch the Mario Brothers movie. They want

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Speaker 4: to see something for grown ups that looks good on

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Speaker 4: a big screen.

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Speaker 3: Some adults Brothers movie.

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Speaker 1: Okay, laugh, Mario was brother the movie Christian genius man.

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Speaker 4: His voice, how does he do those voices? He just

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Speaker 4: disappears into every role.

387
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Speaker 2: Hey it's me Mario. Oh my god, Chris, I've.

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Speaker 3: Done it again. Shape shifter.

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Speaker 1: Yeah, it's the Oppenheimer thing, is worth Like, yeah, at

390
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Speaker 1: the time, it was part of this Barbenheimer Boppenheimer phenomenon

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Speaker 1: that Yeah, I feel like we rushed past the fact

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Speaker 1: that a biopic of Robert Oppenheimer made almost a billion dollars.

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Speaker 1: That's doesn't really make sense and doesn't cohere to any

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Speaker 1: form of Hollywood logic, you know, Is it just it's

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Speaker 1: just because it's Nolan and when you have a filmmaker

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Speaker 1: but like has what when Stanley Kubrick was making movies

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Speaker 1: like people, people weren't rushing out to see them, like

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Speaker 1: like it was a blockbuster, you know, Like this this

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Speaker 1: feels like it's a new phenomenon that we haven't really seen.

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Speaker 1: Like a director who anything he puts out is just

401
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Speaker 1: like that's gonna make a billion dollars and it can

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Speaker 1: be like a dry ass you know, look at and

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Speaker 1: not now that this was like a dry boring movie,

404
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Speaker 1: but it's it's pretty remarkable and very adult of us.

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Speaker 1: And I must compliment we the movie going public. All right,

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Speaker 1: let's uh, let's take a quick break and we'll be

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Speaker 1: right back. And we're back. We're back, as we covered

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Speaker 1: yesterday's trending. We do have a speaker of the house.

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Speaker 1: Guy's kind of boring. You need to be a seditionist too,

410
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Speaker 1: He's kind of boring.

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Speaker 2: He's tied to like hate group, kind of like a

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Speaker 2: like a Antiica transphot Yeah you know he said marijuana

413
00:22:02,200 --> 00:22:05,920
Speaker 2: is a gateway drug anyway. Yeah, Yeah, that's again run

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Speaker 2: of the mill stuff.

415
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Speaker 4: I think we read on your creationists believe yeah, doesn't

416
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Speaker 4: believe in evolution.

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Speaker 3: Yeah.

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Speaker 2: And then I feel like the night before when people

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Speaker 2: were like asking questions like hey, did you, like you know,

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Speaker 2: you voted against certifying the election, that the like all

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Speaker 2: the republics are like, boo, stop bringing up fucking reality.

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Speaker 3: Yeah.

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Speaker 2: So yeah, good, good taste of things to come.

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Speaker 1: But it feels like they've done this more out of

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Speaker 1: embarrassment and exhaustion than anything else, like, and they've just like,

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Speaker 1: all right, we got to get behind somebody. And because

427
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Speaker 1: of the way that I don't know, group dynamics work,

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Speaker 1: like the people further to the right are the ones

429
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Speaker 1: who come break through at that part, like just full

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Speaker 1: boat maga guy is the one they all cohere.

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Speaker 3: But yeah, well, and I'm sure the death threats helped.

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Speaker 1: Yeah, the Gym Jordan death threats or they death threats

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Speaker 1: once people were like, oh, I'm getting like people are

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Speaker 1: calling my wife and threatening us because I voted against

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Speaker 1: Jim Jordan.

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Speaker 2: And I'm sure that that probably helped to to get

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Speaker 2: have people.

438
00:23:12,600 --> 00:23:13,640
Speaker 3: Fall inline at some point.

439
00:23:13,680 --> 00:23:19,159
Speaker 1: But yeah, yeah, but ultimately, like the principled moderate Republicans,

440
00:23:19,400 --> 00:23:21,920
Speaker 1: like those are the principles that seem to wear down

441
00:23:21,960 --> 00:23:25,120
Speaker 1: first because they don't actually care about them.

442
00:23:25,320 --> 00:23:27,720
Speaker 3: I feel like, but yeah, as.

443
00:23:27,680 --> 00:23:32,280
Speaker 1: We talked about yesterday, this guy's like real extremist piece

444
00:23:32,320 --> 00:23:35,600
Speaker 1: of shit masquerading as a boring guy with glasses. So

445
00:23:35,680 --> 00:23:37,680
Speaker 1: I think that's I think that's how they got away

446
00:23:37,720 --> 00:23:39,600
Speaker 1: with it. They were like, he looks like kind of

447
00:23:39,680 --> 00:23:41,680
Speaker 1: a normal boring guy, right.

448
00:23:41,760 --> 00:23:45,479
Speaker 2: Nah, oh no, oh no, yeah, yeah, this is how

449
00:23:45,520 --> 00:23:46,160
Speaker 2: he looks.

450
00:23:46,600 --> 00:23:49,240
Speaker 4: Yeah, plutch twist. What I'm rooting for is sometime in

451
00:23:49,280 --> 00:23:52,000
Speaker 4: the next few months, a court somewhere will rule that,

452
00:23:52,080 --> 00:23:55,119
Speaker 4: in fact, Donald Trump did win the twenty twenty election,

453
00:23:55,280 --> 00:23:58,320
Speaker 4: he has been president this whole time, and therefore is

454
00:23:58,480 --> 00:24:02,359
Speaker 4: ineligible to run in twenty two twenty four. Wow, because

455
00:24:02,400 --> 00:24:03,679
Speaker 4: that would be a third term.

456
00:24:03,720 --> 00:24:05,560
Speaker 2: So you're right, we agree.

457
00:24:05,640 --> 00:24:07,040
Speaker 4: Finally we've come around.

458
00:24:07,359 --> 00:24:08,120
Speaker 3: We're right. Yeah.

459
00:24:08,440 --> 00:24:10,800
Speaker 1: They just pull the chair on them, like that term

460
00:24:10,800 --> 00:24:12,879
Speaker 1: in basketball when you're guarding someone in the post and

461
00:24:12,880 --> 00:24:15,080
Speaker 1: then you just like get out of their way and

462
00:24:15,119 --> 00:24:18,520
Speaker 1: they fall backwards like they're just like actually, yeah.

463
00:24:18,400 --> 00:24:20,480
Speaker 2: Yeah, no, you're ready one uh and we're good here,

464
00:24:20,600 --> 00:24:22,160
Speaker 2: little political ikdo there?

465
00:24:22,320 --> 00:24:23,159
Speaker 3: Yeah? Yeah.

466
00:24:23,280 --> 00:24:26,120
Speaker 1: I want to talk about about this New York Times

467
00:24:26,240 --> 00:24:31,000
Speaker 1: article about the Gilgo Beach serial killer. It's a long

468
00:24:31,080 --> 00:24:34,520
Speaker 1: read that was in the paper I guess about a

469
00:24:34,560 --> 00:24:39,160
Speaker 1: week ago, but it ties into something that we were

470
00:24:39,160 --> 00:24:43,000
Speaker 1: talking about, I guess on Monday's episode because I recently

471
00:24:43,240 --> 00:24:48,439
Speaker 1: rewatched the movie Zodiac and seeing it again, like after

472
00:24:48,760 --> 00:24:51,040
Speaker 1: having I didn't realize how old that movie was. Like

473
00:24:51,040 --> 00:24:54,720
Speaker 1: that movie came out like you know, two thousand and six,

474
00:24:54,760 --> 00:24:58,120
Speaker 1: two thousand and seven, like forever ago, and the first

475
00:24:58,160 --> 00:25:00,320
Speaker 1: time I saw it was like in theaters and I

476
00:25:00,359 --> 00:25:03,199
Speaker 1: hadn't Like we did a bunch of cracked articles on

477
00:25:03,320 --> 00:25:07,680
Speaker 1: like police incompetence and like the you know, pseudo science

478
00:25:07,720 --> 00:25:10,680
Speaker 1: of police science and stuff like that, and I don't

479
00:25:10,680 --> 00:25:12,560
Speaker 1: think we had done those I don't think I had

480
00:25:12,560 --> 00:25:14,919
Speaker 1: done that research when that movie first came out, and

481
00:25:15,040 --> 00:25:19,919
Speaker 1: just like seeing it again through those eyes, it's like

482
00:25:20,080 --> 00:25:24,840
Speaker 1: the story of like they catch the Zodiac Killer pretty

483
00:25:24,880 --> 00:25:28,320
Speaker 1: early on in the movie, Like there's just a lead

484
00:25:28,400 --> 00:25:32,600
Speaker 1: suspect who there's no explanation for all the like he

485
00:25:32,720 --> 00:25:36,080
Speaker 1: like described the killings to somebody like a year before

486
00:25:36,119 --> 00:25:38,040
Speaker 1: they happened, and like it was like, yeah, I'm gonna

487
00:25:38,040 --> 00:25:41,159
Speaker 1: call myself Zodiac Killer and like kill all these people

488
00:25:41,200 --> 00:25:43,679
Speaker 1: and then send letters to the media.

489
00:25:44,080 --> 00:25:44,280
Speaker 3: You know.

490
00:25:44,359 --> 00:25:47,560
Speaker 1: He's just like the most guilty anyone's ever been. But

491
00:25:47,680 --> 00:25:53,040
Speaker 1: then because of bullshit police science, they rule him out

492
00:25:53,480 --> 00:25:59,000
Speaker 1: and then he eventually like they ask the only eyewitness

493
00:25:59,119 --> 00:26:02,119
Speaker 1: to the Zodiac kill or like who he shot and

494
00:26:02,520 --> 00:26:05,520
Speaker 1: almost killed, like to identify it, and they're like, oh, yeah, no,

495
00:26:05,600 --> 00:26:07,600
Speaker 1: it's the guy who said he was gonna be the

496
00:26:07,680 --> 00:26:10,679
Speaker 1: Zodiac Killer. That's that's him. That's the last time I

497
00:26:10,680 --> 00:26:14,560
Speaker 1: saw him. He was a zodiac killing me. But anyways,

498
00:26:14,960 --> 00:26:17,120
Speaker 1: so I was in that mind frame when I'm reading

499
00:26:17,160 --> 00:26:20,560
Speaker 1: this New York Times article about this serial killer who

500
00:26:20,600 --> 00:26:25,119
Speaker 1: was on the loose in Long Island for a long time,

501
00:26:25,800 --> 00:26:28,199
Speaker 1: and first of all, like one of the leads of

502
00:26:28,240 --> 00:26:32,600
Speaker 1: the investigation, like I think he's like the DA or

503
00:26:32,680 --> 00:26:35,080
Speaker 1: maybe he's the chief of Police's last name is Spoda,

504
00:26:35,200 --> 00:26:37,960
Speaker 1: And he is the closest I've ever seen a real

505
00:26:38,080 --> 00:26:42,399
Speaker 1: human being come to embodying the mayor from Jaws. Like

506
00:26:42,480 --> 00:26:47,240
Speaker 1: he keeps having press conferences where he's like insisting that

507
00:26:47,320 --> 00:26:49,800
Speaker 1: there's no reason to believe this is a serial killer,

508
00:26:50,200 --> 00:26:52,600
Speaker 1: right and not just like their beach is like a

509
00:26:52,680 --> 00:26:56,680
Speaker 1: dumping ground for multiple killers and so like, don't get

510
00:26:56,760 --> 00:26:59,399
Speaker 1: your panties in a bunch. It's just like people like

511
00:26:59,400 --> 00:27:01,560
Speaker 1: to dump by here. You don't know that it's the

512
00:27:01,600 --> 00:27:04,600
Speaker 1: same person. Yeah, wasn't he getting defensive? Like when the

513
00:27:04,640 --> 00:27:08,720
Speaker 1: Feds were like, hey, hey, find a new angle, it

514
00:27:08,760 --> 00:27:12,280
Speaker 1: ain't here, It's like yes, yes, So the FEDS keep

515
00:27:12,320 --> 00:27:14,880
Speaker 1: coming in, Like the FBI keeps coming in and being

516
00:27:14,960 --> 00:27:18,160
Speaker 1: like we want to help you because you have a

517
00:27:18,240 --> 00:27:23,720
Speaker 1: serial killer, like, and we have access to technology you

518
00:27:23,720 --> 00:27:26,800
Speaker 1: don't have access to, Like we've been tracking cell phone

519
00:27:26,880 --> 00:27:30,000
Speaker 1: data from the nights of the killings, and we've got

520
00:27:30,240 --> 00:27:35,000
Speaker 1: like the killer was using a burner phone to interact

521
00:27:35,040 --> 00:27:38,600
Speaker 1: with the people who he would then murder, sex workers,

522
00:27:38,880 --> 00:27:43,520
Speaker 1: like who he was hiring on Craigslist. And they were like,

523
00:27:43,600 --> 00:27:47,159
Speaker 1: but what we can do is we can take like

524
00:27:47,280 --> 00:27:53,199
Speaker 1: any calls that were hit those same cell towers, like

525
00:27:53,600 --> 00:27:56,399
Speaker 1: around the same time as the burner, like if he

526
00:27:56,480 --> 00:27:58,720
Speaker 1: then switched from burner to his other phone, Like we

527
00:27:58,720 --> 00:28:01,080
Speaker 1: can just do that and cross reference to that and like,

528
00:28:01,520 --> 00:28:04,160
Speaker 1: you know, find it pretty quick, probably find your killer

529
00:28:04,200 --> 00:28:07,840
Speaker 1: fairly quickly. And this SPOTA guy is like, this is

530
00:28:07,960 --> 00:28:10,480
Speaker 1: our town. I say, get the fuck out of here.

531
00:28:12,080 --> 00:28:16,359
Speaker 1: He's like, that's a fishing expedition. Is just doesn't he

532
00:28:16,560 --> 00:28:22,719
Speaker 1: refuses to accept the help because he is running like

533
00:28:22,800 --> 00:28:29,080
Speaker 1: one of the most corrupt like police forces in the world,

534
00:28:29,480 --> 00:28:32,800
Speaker 1: Like it's just crazy. So he doesn't want outside eyes

535
00:28:32,840 --> 00:28:36,720
Speaker 1: in and so I don't know. In one instance, they

536
00:28:36,760 --> 00:28:41,880
Speaker 1: go to the house of the last victim, like the

537
00:28:41,920 --> 00:28:47,200
Speaker 1: woman whose body they found, and they like they interview

538
00:28:47,400 --> 00:28:51,640
Speaker 1: the people who she was living with, and they're like, yeah, no,

539
00:28:51,720 --> 00:28:55,240
Speaker 1: we saw the guy. Like he has a green Chevy

540
00:28:55,320 --> 00:29:00,160
Speaker 1: Avalanche with a custom door. It's like not normal on

541
00:29:00,360 --> 00:29:03,840
Speaker 1: green Chevy Avalanche. Also, he's six foot four. Okay, he's

542
00:29:03,840 --> 00:29:07,800
Speaker 1: a white guy with like big bushy hair, and like

543
00:29:07,880 --> 00:29:12,240
Speaker 1: he lives close by to where they are doing doing

544
00:29:12,280 --> 00:29:14,360
Speaker 1: this interview. But they like run a check in a

545
00:29:14,480 --> 00:29:18,400
Speaker 1: database and it doesn't immediately find the car, and they

546
00:29:18,400 --> 00:29:18,920
Speaker 1: give up that.

547
00:29:19,160 --> 00:29:22,040
Speaker 3: They give up that lead like it's a it's.

548
00:29:21,920 --> 00:29:26,280
Speaker 1: A rare car, a rare like a very rare color

549
00:29:26,320 --> 00:29:31,239
Speaker 1: of car, and he's six foot four, right, it's and

550
00:29:31,280 --> 00:29:33,880
Speaker 1: they just don't do anything with it. They just don't

551
00:29:34,080 --> 00:29:37,720
Speaker 1: fucking do anything. It's over and over. It's just like, oh,

552
00:29:37,800 --> 00:29:40,000
Speaker 1: you could have saved so many lives, you could have

553
00:29:40,160 --> 00:29:45,200
Speaker 1: just done that. Like it it's very basic human like

554
00:29:45,320 --> 00:29:50,800
Speaker 1: problem solving that they just refuse to do, either because

555
00:29:50,840 --> 00:29:57,440
Speaker 1: they're like wildly incompetent, like illogically unexpectedly like I didn't

556
00:29:57,480 --> 00:30:00,640
Speaker 1: know people came that incompetent, or they're like they just

557
00:30:00,680 --> 00:30:03,880
Speaker 1: like don't want to solve it because they don't want attention,

558
00:30:04,160 --> 00:30:08,280
Speaker 1: or I don't I don't know, but there's all sorts

559
00:30:08,320 --> 00:30:11,160
Speaker 1: of shit just throughout this article. It's really worth a read.

560
00:30:11,200 --> 00:30:15,200
Speaker 1: I'll link off to it in the footnote. Okay, as a.

561
00:30:14,760 --> 00:30:18,520
Speaker 4: Somebody who is a fan of true crime podcasts, I'm

562
00:30:18,520 --> 00:30:20,640
Speaker 4: telling you this is every serial killer.

563
00:30:20,800 --> 00:30:23,920
Speaker 2: Okay, Yes, this is what I like. True crime.

564
00:30:24,000 --> 00:30:27,000
Speaker 1: I think is at least partially popular because it's the

565
00:30:27,040 --> 00:30:29,920
Speaker 1: first like genre that just gets at the reality that

566
00:30:29,920 --> 00:30:32,479
Speaker 1: we've all been living with that like the police, like

567
00:30:32,640 --> 00:30:34,640
Speaker 1: don't are not going to help you?

568
00:30:35,440 --> 00:30:39,080
Speaker 4: Like on that show mind Hunter on Netflix. They made

569
00:30:39,280 --> 00:30:42,960
Speaker 4: Edmund Kemper famous, the six foot nine serial killer with

570
00:30:43,000 --> 00:30:46,120
Speaker 4: the mustache. The way ed mc kemper got caught, he

571
00:30:46,200 --> 00:30:48,960
Speaker 4: called the local cops and said, I'm the serial killer.

572
00:30:49,440 --> 00:30:51,840
Speaker 4: I can't stop. I can't stop myself. I just killed

573
00:30:51,880 --> 00:30:53,760
Speaker 4: my mother. They hung up on him. They thought it

574
00:30:53,800 --> 00:30:57,000
Speaker 4: was a prank, nice track. He had to call them

575
00:30:57,080 --> 00:30:58,920
Speaker 4: back because they knew him. It was a small town

576
00:30:58,960 --> 00:31:00,760
Speaker 4: like they knew ed Kemper. He had he was known

577
00:31:00,800 --> 00:31:02,560
Speaker 4: to the cops. He come by. I said, no, listen,

578
00:31:03,000 --> 00:31:05,680
Speaker 4: this is not a joke. I've just killed my mother.

579
00:31:06,000 --> 00:31:08,560
Speaker 4: If you come by, you can see her corpse to

580
00:31:08,600 --> 00:31:10,960
Speaker 4: prove on telling you the truth. And only didn't that

581
00:31:11,000 --> 00:31:15,520
Speaker 4: they reluctantly believe him. The most prolific killer in American

582
00:31:15,600 --> 00:31:18,160
Speaker 4: history is a guy named Samuel Little. He's killed at

583
00:31:18,280 --> 00:31:21,200
Speaker 4: least sixty people. He claims it was closer to one hundred.

584
00:31:21,880 --> 00:31:25,240
Speaker 4: He was arrested because he went to a homeless shelter,

585
00:31:25,800 --> 00:31:28,200
Speaker 4: and they, I guess when homeless people check in, they

586
00:31:28,280 --> 00:31:30,680
Speaker 4: run their names to see if they've got any drug warrants,

587
00:31:31,240 --> 00:31:32,920
Speaker 4: because why not just go ahead and arrest them if

588
00:31:32,960 --> 00:31:34,640
Speaker 4: you got them there? And yeah, he popped for the

589
00:31:34,640 --> 00:31:37,120
Speaker 4: small drug warrants. They picked him up for that, and

590
00:31:37,160 --> 00:31:40,680
Speaker 4: then only then ran his DNA. He's like, oh, this

591
00:31:40,720 --> 00:31:41,920
Speaker 4: guy killed sixty people.

592
00:31:42,320 --> 00:31:44,800
Speaker 1: Oh right, it's you. He's the guy, like the DNA

593
00:31:44,840 --> 00:31:47,560
Speaker 1: we've been looking for in those sixty open murder cases.

594
00:31:47,960 --> 00:31:50,800
Speaker 4: Everything we like to believe about, you know, these CSI

595
00:31:50,920 --> 00:31:54,440
Speaker 4: shows and they've got the hologram that recreates the victim's

596
00:31:54,440 --> 00:31:58,000
Speaker 4: skull and all of that, like that technology stuff exists,

597
00:31:58,000 --> 00:32:02,720
Speaker 4: but there's incentive that it's hard to get into it here.

598
00:32:02,760 --> 00:32:07,160
Speaker 4: But local police do not want to believe they've got

599
00:32:07,240 --> 00:32:10,160
Speaker 4: a serial killer like you would think they'd be eager to.

600
00:32:10,440 --> 00:32:12,680
Speaker 4: It's like, oh my gosh, we've caught the Golden State

601
00:32:12,800 --> 00:32:15,000
Speaker 4: strangler or whatever, like we're going to be famous, I'm

602
00:32:15,000 --> 00:32:17,640
Speaker 4: going to get a book deal. That's not how it works.

603
00:32:17,720 --> 00:32:20,600
Speaker 4: They are so reluctant to acknowlogy, and I think that

604
00:32:20,680 --> 00:32:24,000
Speaker 4: there's bureaucratic reasons for it, like a bunch of open

605
00:32:24,080 --> 00:32:26,720
Speaker 4: cases all fall in their lap and ou it's like

606
00:32:26,800 --> 00:32:31,600
Speaker 4: their problem. And also, serial murders are almost impossible to

607
00:32:31,640 --> 00:32:36,000
Speaker 4: solve because the vast majority of murders, it's somebody killing somebody.

608
00:32:36,040 --> 00:32:38,440
Speaker 4: They know it's a guy killing his wife or his

609
00:32:38,880 --> 00:32:41,920
Speaker 4: lover or something like that. If you have a killer

610
00:32:41,960 --> 00:32:45,240
Speaker 4: who's just killing because of some obsession and they're killing

611
00:32:45,320 --> 00:32:50,160
Speaker 4: strangers or sex workers, almost impossible to catch them. So

612
00:32:50,680 --> 00:32:53,520
Speaker 4: they never want to admit or even believe that's what

613
00:32:53,680 --> 00:32:56,560
Speaker 4: it is. But Jack, one of the things we covered

614
00:32:56,560 --> 00:32:58,840
Speaker 4: on Cracked was at one point Jeffrey Dahmer, one of

615
00:32:58,880 --> 00:33:02,600
Speaker 4: his victims, gaped a man who he had drilled a

616
00:33:02,600 --> 00:33:05,120
Speaker 4: hole in his skull to lobottomize him with acid. He

617
00:33:05,240 --> 00:33:09,240
Speaker 4: was walking naked down the street. The neighbors called and said, Hey,

618
00:33:09,360 --> 00:33:11,160
Speaker 4: this guy is walking naked on the street. I think

619
00:33:11,160 --> 00:33:14,000
Speaker 4: he came from this jeff dah Dahmer's apartment. I think

620
00:33:14,000 --> 00:33:16,600
Speaker 4: they're gay. It's his gay lever. The cops picked up

621
00:33:16,640 --> 00:33:20,160
Speaker 4: the naked man, took him back to Jeffrey Dahmer's apartment,

622
00:33:20,920 --> 00:33:24,440
Speaker 4: noted that it smelled like rotten meat, and said, hey,

623
00:33:24,520 --> 00:33:26,840
Speaker 4: this guy got out, here's your boyfriend back, and then

624
00:33:26,920 --> 00:33:29,760
Speaker 4: chuckled because like, oh, they're gay. Who knows what weird gay?

625
00:33:29,960 --> 00:33:33,880
Speaker 4: The guy was bleeding from his head and they walked out.

626
00:33:33,960 --> 00:33:36,640
Speaker 4: And both those guys not only are still police officers,

627
00:33:36,720 --> 00:33:40,800
Speaker 4: but they are they were later promoted and are very successful.

628
00:33:41,200 --> 00:33:41,400
Speaker 3: Yeah.

629
00:33:42,160 --> 00:33:45,800
Speaker 1: Yeah, I mean, especially when the victim is someone that

630
00:33:46,000 --> 00:33:49,640
Speaker 1: is easy for the police and the mainstream media to other,

631
00:33:50,080 --> 00:33:52,120
Speaker 1: like you know, sex workers in the case of the

632
00:33:52,120 --> 00:33:55,520
Speaker 1: gilg Beach killings, or you know, in the case of

633
00:33:55,520 --> 00:33:58,840
Speaker 1: the Dahmer thing, you know, someone who's gay, and they're like, oh,

634
00:33:58,920 --> 00:34:03,720
Speaker 1: they just must be into weird, weird things. But it's yeah,

635
00:34:04,080 --> 00:34:09,960
Speaker 1: it's pretty like they just don't want to do the work.

636
00:34:10,200 --> 00:34:14,120
Speaker 1: It's like it's i mean, on the one hand, it's

637
00:34:14,160 --> 00:34:18,640
Speaker 1: easy to identify with like that of just like, oh

638
00:34:18,640 --> 00:34:20,680
Speaker 1: my god, I just got so much more work. But

639
00:34:21,000 --> 00:34:23,239
Speaker 1: there's got to be a way to set up the

640
00:34:23,320 --> 00:34:27,760
Speaker 1: incentive structure so that people aren't just like the police

641
00:34:27,800 --> 00:34:32,040
Speaker 1: aren't hiding the fact that there's a serial killer happening,

642
00:34:32,480 --> 00:34:34,040
Speaker 1: you know, right right, Yeah.

643
00:34:33,880 --> 00:34:36,200
Speaker 2: It feels like like cops sort of think that like

644
00:34:36,239 --> 00:34:39,600
Speaker 2: people don't understand how anything works, so they're like, yeah, yeah, yeah,

645
00:34:39,600 --> 00:34:40,320
Speaker 2: we're on the case.

646
00:34:40,360 --> 00:34:41,960
Speaker 3: It's like we're ignoring leads.

647
00:34:42,000 --> 00:34:43,839
Speaker 2: We don't know what the fuck's going on and are

648
00:34:43,880 --> 00:34:45,960
Speaker 2: sort of and only now like as more and more

649
00:34:46,000 --> 00:34:48,680
Speaker 2: people sort of observe and analyze how sort of these

650
00:34:48,719 --> 00:34:51,080
Speaker 2: cases work, they're like, what the fuck are you guys doing?

651
00:34:51,239 --> 00:34:53,880
Speaker 2: Like every every case is a fuck up. It feels

652
00:34:53,920 --> 00:34:56,239
Speaker 2: like or you guys pressing it to be like the

653
00:34:56,320 --> 00:34:58,840
Speaker 2: wrong you know, wrongfully convicting someone just you can be like,

654
00:34:58,880 --> 00:35:03,040
Speaker 2: all right, wrap that one up. That's a successful caller, moving.

655
00:35:02,800 --> 00:35:04,160
Speaker 3: On to keep the numbers up.

656
00:35:04,200 --> 00:35:06,799
Speaker 2: But yeah, it's it's wild because like what they got

657
00:35:06,840 --> 00:35:09,319
Speaker 2: them They got this Gilgo Beach guy, because like they

658
00:35:09,640 --> 00:35:12,160
Speaker 2: they got a pizza box and got the DNA off

659
00:35:12,160 --> 00:35:13,000
Speaker 2: like the crust, right.

660
00:35:13,120 --> 00:35:16,439
Speaker 1: Yeah, they eventually made it a priority. Yeah, after they

661
00:35:16,760 --> 00:35:20,520
Speaker 1: got the there were multiple people like the chief of

662
00:35:20,600 --> 00:35:25,800
Speaker 1: police for a long period during when the case was

663
00:35:25,840 --> 00:35:28,600
Speaker 1: going unsolved and really like uninvestigated. It was like multiple

664
00:35:28,600 --> 00:35:30,879
Speaker 1: people's part time job, but nobody was like a full

665
00:35:30,960 --> 00:35:33,480
Speaker 1: there was no full time task force looking into it.

666
00:35:33,640 --> 00:35:36,160
Speaker 1: Was this guy who started out as a fourteen year

667
00:35:36,160 --> 00:35:41,560
Speaker 1: old who lied on behalf of like who was a

668
00:35:41,600 --> 00:35:45,600
Speaker 1: witness to a crime that the police needed like a

669
00:35:45,600 --> 00:35:49,400
Speaker 1: witness for, and so people think like he just would

670
00:35:49,440 --> 00:35:52,799
Speaker 1: lie for the police, like starting at age fourteen, and

671
00:35:52,960 --> 00:35:57,239
Speaker 1: he became this more powerful guy's kind of stooge. And

672
00:35:57,280 --> 00:36:01,040
Speaker 1: then there's like this long period of the case where

673
00:36:01,520 --> 00:36:05,120
Speaker 1: he's like using the police force to investigate like an

674
00:36:05,160 --> 00:36:09,640
Speaker 1: ex girlfriend and like harass her exes and like her son,

675
00:36:10,239 --> 00:36:13,680
Speaker 1: and then he like beats a witness for like touching

676
00:36:13,719 --> 00:36:16,640
Speaker 1: a bag that he has that's full of porn, and

677
00:36:16,680 --> 00:36:19,880
Speaker 1: then like is like spends it all this time, like

678
00:36:19,960 --> 00:36:23,040
Speaker 1: engaging in a year long cover up while failing to

679
00:36:23,239 --> 00:36:26,120
Speaker 1: follow up on like the obvious leads in this case,

680
00:36:26,200 --> 00:36:28,520
Speaker 1: in this serial killer case, and there's like a serial

681
00:36:28,600 --> 00:36:33,480
Speaker 1: killer stalking his community in his jurisdiction, and he's too

682
00:36:33,520 --> 00:36:38,120
Speaker 1: busy like engaging in a cover So eventually those two

683
00:36:38,200 --> 00:36:42,600
Speaker 1: get taken down and then like a single competent person

684
00:36:42,680 --> 00:36:47,000
Speaker 1: is able to like come in and Basically, they find

685
00:36:47,160 --> 00:36:51,279
Speaker 1: all of this evidence in boxes not digitized. They send

686
00:36:51,360 --> 00:36:54,480
Speaker 1: it down to Quantico, it gets digitized, and they're like, oh,

687
00:36:54,520 --> 00:36:58,040
Speaker 1: we just need to like find this green Chabby abblue that.

688
00:36:58,600 --> 00:36:59,959
Speaker 2: This is the guy with the bush.

689
00:37:00,760 --> 00:37:02,879
Speaker 1: Yeah, here's this six or four guy with bushy hair

690
00:37:02,920 --> 00:37:08,040
Speaker 1: who's like where the cell phone records were, like he worked.

691
00:37:08,200 --> 00:37:10,680
Speaker 1: They knew the guy worked in midtown Manhattan and lived

692
00:37:10,680 --> 00:37:15,399
Speaker 1: in this like small area on Long Island, and he

693
00:37:15,560 --> 00:37:19,880
Speaker 1: fit that description. And so after following he was like

694
00:37:19,920 --> 00:37:22,239
Speaker 1: an avid hunter. One of the things, like all the

695
00:37:22,239 --> 00:37:25,920
Speaker 1: bodies were wrapped in this burlap that suggested that the

696
00:37:25,960 --> 00:37:28,759
Speaker 1: person was a hunter. They like pulled hunting licenses and

697
00:37:28,840 --> 00:37:31,279
Speaker 1: then like forgot to follow up on it. This guy

698
00:37:31,320 --> 00:37:36,560
Speaker 1: was a hunter who had ninety seven registered guns, and yeah,

699
00:37:36,640 --> 00:37:40,200
Speaker 1: they they just what Once they looked at the evidence,

700
00:37:40,480 --> 00:37:42,719
Speaker 1: they were like, oh, it's the like, this is the

701
00:37:42,719 --> 00:37:45,360
Speaker 1: fifth thing we have pointing to this guy who's like

702
00:37:45,520 --> 00:37:46,640
Speaker 1: obviously the killer.

703
00:37:46,960 --> 00:37:48,040
Speaker 3: And then they ran a DNA.

704
00:37:48,040 --> 00:37:49,799
Speaker 2: All right, look at his search history. Let's see if

705
00:37:49,800 --> 00:37:53,000
Speaker 2: it's really the guy. Oh he's googling Gilgo Beach serial

706
00:37:53,080 --> 00:37:56,399
Speaker 2: killer a bunch and the victims. Yeah, like I saw

707
00:37:56,400 --> 00:37:59,359
Speaker 2: that part to him like what the fuck? Yeah, hey,

708
00:37:59,360 --> 00:38:01,879
Speaker 2: could be this guy could be this might be this actually.

709
00:38:01,680 --> 00:38:03,960
Speaker 1: And then like all the killings happened when his wife

710
00:38:04,040 --> 00:38:07,520
Speaker 1: would leave town that they like SYNCD up with his

711
00:38:07,560 --> 00:38:09,239
Speaker 1: wife would like go on a vacation, and then the

712
00:38:09,280 --> 00:38:10,400
Speaker 1: serial killing what happened?

713
00:38:10,960 --> 00:38:12,600
Speaker 3: Would have thought crazy story.

714
00:38:12,640 --> 00:38:14,520
Speaker 1: We'll link off to it in the footnotes. Let's take

715
00:38:14,520 --> 00:38:29,000
Speaker 1: a quick break and we'll be right back. And we're back.

716
00:38:29,160 --> 00:38:33,280
Speaker 1: We're back, Miles, your alma mater is doing the lord's

717
00:38:33,320 --> 00:38:35,359
Speaker 1: work and asking twins.

718
00:38:35,080 --> 00:38:38,280
Speaker 2: Asking teens, what are your what are you horny?

719
00:38:38,280 --> 00:38:38,320
Speaker 4: For?

720
00:38:38,560 --> 00:38:41,880
Speaker 2: Y'all young adults, this cohort age cohort from ten to

721
00:38:41,920 --> 00:38:46,080
Speaker 2: twenty four what are y'all into? And the results are

722
00:38:46,120 --> 00:38:49,359
Speaker 2: not too surprising, giving what we know about loneliness and

723
00:38:49,400 --> 00:38:52,839
Speaker 2: the lack of originality in Hollywood. Nearly half of these

724
00:38:52,920 --> 00:38:56,400
Speaker 2: respondents like this is the annual Teens and Screens Report

725
00:38:56,440 --> 00:38:59,799
Speaker 2: from UCLA. Yeah, thank you so much, Jocko Bruns. Nearly

726
00:39:00,000 --> 00:39:02,640
Speaker 2: half of the respondents said that sex and romance are

727
00:39:02,680 --> 00:39:06,200
Speaker 2: too prominent in the media they're consuming. Over half said

728
00:39:06,200 --> 00:39:08,400
Speaker 2: they want to see shows and movies that are centered

729
00:39:08,400 --> 00:39:12,840
Speaker 2: around friendships and platonic relationships. They are definitely they're not

730
00:39:13,040 --> 00:39:16,279
Speaker 2: interested in shows where they feel the messages like you

731
00:39:16,400 --> 00:39:19,200
Speaker 2: need to be in a relationship to be happy, or

732
00:39:19,320 --> 00:39:22,800
Speaker 2: predictable plots like the man and the woman get together

733
00:39:23,000 --> 00:39:26,120
Speaker 2: at the end, And they damn sure are not into

734
00:39:26,200 --> 00:39:28,600
Speaker 2: love triangles. They feel like that shit is so tired.

735
00:39:28,920 --> 00:39:31,560
Speaker 2: And I'd imagine presumably that's from watching a fuck ton

736
00:39:31,600 --> 00:39:34,319
Speaker 2: of Twilight and Hunger Games and being like, okay, bro,

737
00:39:34,440 --> 00:39:37,440
Speaker 2: like we get it, Like there's fucking these love triangles

738
00:39:37,520 --> 00:39:40,399
Speaker 2: power everything. And another really interesting thing was, like last

739
00:39:40,440 --> 00:39:43,160
Speaker 2: year's report, I remember we talked about this they wanted

740
00:39:43,200 --> 00:39:44,880
Speaker 2: to see, and this was this again what I think

741
00:39:45,040 --> 00:39:48,640
Speaker 2: was sort of translated to when people said they want

742
00:39:48,680 --> 00:39:51,480
Speaker 2: to see lives unlike my own, like shows like in

743
00:39:51,480 --> 00:39:54,480
Speaker 2: that category, they're like, oh, more diversity, Like they want

744
00:39:54,520 --> 00:39:57,719
Speaker 2: to see diverse stories, which is true. But now this

745
00:39:57,800 --> 00:40:01,040
Speaker 2: year they're also saying, we want shows that are showing

746
00:40:01,160 --> 00:40:04,879
Speaker 2: me lives like my own, or movies like my own

747
00:40:04,960 --> 00:40:07,600
Speaker 2: that show lives like my own, where it's not the

748
00:40:07,640 --> 00:40:11,359
Speaker 2: sort of like sensationalized hyper romance shit. There's this one

749
00:40:11,920 --> 00:40:14,520
Speaker 2: psychologist at UCLA who's working on it, who's just saying

750
00:40:14,560 --> 00:40:17,279
Speaker 2: that the results are part of quote. There's been a

751
00:40:17,320 --> 00:40:20,160
Speaker 2: wide ranging discourse among teens about the meaning of community.

752
00:40:20,160 --> 00:40:22,600
Speaker 2: In the aftermath of COVID nineteen and the isolation that

753
00:40:22,640 --> 00:40:24,920
Speaker 2: came with it, teens are looking to media as a

754
00:40:24,960 --> 00:40:27,320
Speaker 2: third place where they can connect and have a sense

755
00:40:27,360 --> 00:40:31,000
Speaker 2: of belonging, and with frightening headlines about climate change, pandemics,

756
00:40:31,000 --> 00:40:34,879
Speaker 2: and global destabilization, it makes sense they're gravitating towards what's

757
00:40:34,960 --> 00:40:40,040
Speaker 2: most familiar in those spaces. So the message, like overall

758
00:40:40,120 --> 00:40:43,319
Speaker 2: too is they're saying, knock off the romantic bs, show

759
00:40:43,400 --> 00:40:47,120
Speaker 2: us real life and they're fucking done with remakes and reboots,

760
00:40:47,280 --> 00:40:49,719
Speaker 2: like originality please.

761
00:40:49,960 --> 00:40:50,040
Speaker 4: The.

762
00:40:51,920 --> 00:40:58,120
Speaker 1: Like not wanting the romance is just so different from

763
00:40:58,160 --> 00:41:01,000
Speaker 1: what I grew up with, like the media I grew

764
00:41:01,040 --> 00:41:04,640
Speaker 1: up with. If a male character and a female character, like,

765
00:41:04,800 --> 00:41:09,359
Speaker 1: you know, if two characters were friends, people were like,

766
00:41:09,640 --> 00:41:11,240
Speaker 1: why are they just friends?

767
00:41:11,760 --> 00:41:12,360
Speaker 3: Like why?

768
00:41:12,400 --> 00:41:15,560
Speaker 1: It became a will they won't they? You know, like

769
00:41:15,680 --> 00:41:17,919
Speaker 1: why am I not watching them make out with each other?

770
00:41:17,960 --> 00:41:19,480
Speaker 3: If they are.

771
00:41:20,160 --> 00:41:24,560
Speaker 1: A man and a woman, And there was usually an answer,

772
00:41:24,840 --> 00:41:27,959
Speaker 1: you know that The answer was usually like because they're

773
00:41:27,960 --> 00:41:34,239
Speaker 1: building sexual tension or because Ralph Maccio is forty five

774
00:41:34,320 --> 00:41:38,200
Speaker 1: years old in Karate Kid three, and the love interest

775
00:41:38,320 --> 00:41:41,080
Speaker 1: is like sixteen, and he was like, this is weird,

776
00:41:41,480 --> 00:41:45,440
Speaker 1: but yeah, I don't know. It's it's interesting that like

777
00:41:46,239 --> 00:41:50,160
Speaker 1: this feels like a huge shift in how people kind

778
00:41:50,160 --> 00:41:53,320
Speaker 1: of think about the stories that they consume.

779
00:41:54,040 --> 00:41:56,880
Speaker 4: Do you take anyone under the age of say forty,

780
00:41:57,400 --> 00:42:00,840
Speaker 4: and have them watch any selection of eighties action movies

781
00:42:00,960 --> 00:42:05,440
Speaker 4: or comedies, they are stunned. Stunned by the amount of

782
00:42:05,480 --> 00:42:09,320
Speaker 4: casual nudity in those movies. Like they used to find

783
00:42:09,520 --> 00:42:12,200
Speaker 4: any excuse for the women to pop their boobs out,

784
00:42:13,200 --> 00:42:16,120
Speaker 4: any excuse. This was the trend well into the nineties.

785
00:42:16,760 --> 00:42:19,120
Speaker 4: But the movies I grew up with, like it was

786
00:42:19,160 --> 00:42:21,880
Speaker 4: a whole thing. It wasn't like these are specifically sex

787
00:42:21,920 --> 00:42:25,680
Speaker 4: movies or horny movies. It's just a comedy, any teen comedy.

788
00:42:26,480 --> 00:42:29,920
Speaker 4: Especially thing said in high school college you were going

789
00:42:29,960 --> 00:42:32,799
Speaker 4: to see thirty to forty pairs of boobs in the

790
00:42:32,840 --> 00:42:37,799
Speaker 4: course of the movie. Movies are so chased now, like

791
00:42:37,880 --> 00:42:40,719
Speaker 4: the Mission Impossible movies, you know, but one of the

792
00:42:40,760 --> 00:42:45,799
Speaker 4: biggest action franchises right now, like Tom Cruise doesn't hang

793
00:42:45,920 --> 00:42:48,520
Speaker 4: dong in that he doesn't whip out his dick at

794
00:42:48,560 --> 00:42:52,399
Speaker 4: any point that equivalent franchise. I feel like you would

795
00:42:52,440 --> 00:42:55,520
Speaker 4: have seen if it was Stallone, like Stallone gets naked

796
00:42:55,640 --> 00:42:59,759
Speaker 4: in Demolition Man. Hell yeah, finds an excuse. They had

797
00:42:59,800 --> 00:43:01,799
Speaker 4: their the cut of the movie with his with his

798
00:43:01,880 --> 00:43:04,719
Speaker 4: penis in it, just straight up his his dick in

799
00:43:04,760 --> 00:43:07,240
Speaker 4: the movie. And so it's weird.

800
00:43:07,239 --> 00:43:10,160
Speaker 1: And there's a whole scene where he like immediately has

801
00:43:10,200 --> 00:43:13,960
Speaker 1: to figure out how to fuck like his partner, like

802
00:43:15,120 --> 00:43:18,239
Speaker 1: his professional partner. They're like, well, and now we have

803
00:43:18,360 --> 00:43:21,719
Speaker 1: sex with each other. Obviously the movie hints is his

804
00:43:21,920 --> 00:43:24,080
Speaker 1: daughter in the opening scenes, because the whole thing is

805
00:43:24,120 --> 00:43:25,839
Speaker 1: he goes to the futures like, I, where's my daughter

806
00:43:25,920 --> 00:43:27,840
Speaker 1: and to try out. They cut that scene from the

807
00:43:27,880 --> 00:43:32,440
Speaker 1: movie because so because then the the director's cut whatever,

808
00:43:32,480 --> 00:43:35,839
Speaker 1: he meets his daughter in that underground community. So everybody thought, oh,

809
00:43:35,920 --> 00:43:38,560
Speaker 1: Sandra Bullock is his daughter. That's gonna be the twist.

810
00:43:38,600 --> 00:43:41,600
Speaker 1: That's why she's so in the eighties and shares his personality.

811
00:43:41,880 --> 00:43:44,320
Speaker 4: And then they it's like, oh, they're gonna start start

812
00:43:44,360 --> 00:43:48,719
Speaker 4: boning and he and anyway, the boint being it is

813
00:43:48,840 --> 00:43:51,400
Speaker 4: very weird to see how clean movies are now, But

814
00:43:51,440 --> 00:43:55,239
Speaker 4: of course it's in We did not have pornography in

815
00:43:55,280 --> 00:43:58,000
Speaker 4: the eighties. You couldn't get it, Like you would have

816
00:43:58,000 --> 00:44:00,480
Speaker 4: to go to the counter at like a game station

817
00:44:00,640 --> 00:44:02,520
Speaker 4: and buy it, and they wouldn't sell it to you,

818
00:44:02,640 --> 00:44:05,160
Speaker 4: so you had to have an older relative who had

819
00:44:05,200 --> 00:44:08,160
Speaker 4: a stash they would show you. Otherwise this was your

820
00:44:08,200 --> 00:44:11,960
Speaker 4: only chance to see anything like that. Where now porn

821
00:44:12,080 --> 00:44:16,759
Speaker 4: is so ubiquitous that it's hard to avoid, Like it's

822
00:44:16,760 --> 00:44:19,480
Speaker 4: hard to avoid on a platform like TikTok or Instagram

823
00:44:20,160 --> 00:44:22,560
Speaker 4: accounts that are just they're there to feed you into

824
00:44:22,600 --> 00:44:25,080
Speaker 4: an OnlyFans account like they're sex workers, which is fine,

825
00:44:25,080 --> 00:44:26,919
Speaker 4: but it's hard to avoid, Like if you don't want

826
00:44:26,920 --> 00:44:30,320
Speaker 4: that on your Instagram, it's hard to get rid of it. Yeah,

827
00:44:30,360 --> 00:44:34,239
Speaker 4: so I can see now it's fascinating to actually hear teenagers,

828
00:44:34,280 --> 00:44:37,600
Speaker 4: which are you know, allegedly the horniest of the population,

829
00:44:38,719 --> 00:44:41,799
Speaker 4: say no, I want movies that are about some other

830
00:44:41,920 --> 00:44:44,360
Speaker 4: kind of relationship. I don't want everything to be about

831
00:44:44,360 --> 00:44:48,200
Speaker 4: sex or about will these two people have sex? When Yeah,

832
00:44:48,280 --> 00:44:50,040
Speaker 4: it used to be in an action movie, like the

833
00:44:50,080 --> 00:44:51,719
Speaker 4: guy had to get the girl at the.

834
00:44:51,719 --> 00:44:54,319
Speaker 2: End, right, and it's like when the same way, it's like,

835
00:44:54,400 --> 00:44:56,520
Speaker 2: oh man, it's like I don't have access to porn,

836
00:44:56,600 --> 00:44:59,320
Speaker 2: so I watch these movies. It's like I'm to feel

837
00:44:59,520 --> 00:45:03,080
Speaker 2: alone and isolated. So that's like the new commodity. So

838
00:45:03,360 --> 00:45:06,239
Speaker 2: can the things I consume contain that thing that I'm

839
00:45:06,320 --> 00:45:10,040
Speaker 2: yearning for, which is like like a some kind of

840
00:45:10,080 --> 00:45:12,920
Speaker 2: like sincere portrayal of friendship rather than yeah we used

841
00:45:12,920 --> 00:45:14,680
Speaker 2: to have friendship.

842
00:45:14,920 --> 00:45:17,280
Speaker 1: Yeah, right, you just had like you you were constantly

843
00:45:17,320 --> 00:45:21,440
Speaker 1: interacting with people and you know, maybe more more than

844
00:45:21,480 --> 00:45:24,480
Speaker 1: you would like in my case as an introvert, but

845
00:45:24,560 --> 00:45:28,680
Speaker 1: like you know, you constantly Like that wasn't the commodity.

846
00:45:29,160 --> 00:45:31,640
Speaker 1: The porn was, right, you had to go to the

847
00:45:31,680 --> 00:45:34,239
Speaker 1: woods to find the porn exactly.

848
00:45:34,400 --> 00:45:36,920
Speaker 2: Yeah, there was some yeah, some zip lock bag with

849
00:45:36,960 --> 00:45:39,399
Speaker 2: a couple magazines, so it'd be okay in the rain.

850
00:45:39,800 --> 00:45:41,239
Speaker 3: Yeah that was by the way.

851
00:45:41,280 --> 00:45:43,480
Speaker 1: The thing that the one of the reasons that the

852
00:45:43,480 --> 00:45:48,000
Speaker 1: police chief beat up somebody was they like opened up

853
00:45:48,000 --> 00:45:50,799
Speaker 1: his party bag in the Gilgo Beach killing, which was

854
00:45:50,840 --> 00:45:53,520
Speaker 1: just a bag full of porn. You just had a

855
00:45:53,560 --> 00:45:55,640
Speaker 1: bag full of porn, and you like beat the ship

856
00:45:55,680 --> 00:45:57,799
Speaker 1: out of somebody for opening it. And then that was

857
00:45:57,880 --> 00:46:01,520
Speaker 1: like kicked off his whole cover up. But yeah, I

858
00:46:01,560 --> 00:46:04,120
Speaker 1: mean my one of my favorite movies as a kid,

859
00:46:04,160 --> 00:46:07,279
Speaker 1: die Hard, has a moment where like Bruce Willis, like

860
00:46:07,320 --> 00:46:09,880
Speaker 1: it has multiple like people just like getting pulled, Like

861
00:46:09,920 --> 00:46:11,759
Speaker 1: when the terrorists come, they get like pulled out of

862
00:46:12,000 --> 00:46:14,560
Speaker 1: an office and they're like a woman is topless and

863
00:46:14,600 --> 00:46:16,600
Speaker 1: they're like in the middle of having sex and then

864
00:46:16,719 --> 00:46:19,920
Speaker 1: like wow, they were like that's not enough nudity. When

865
00:46:19,960 --> 00:46:23,000
Speaker 1: Bruce Willis is running away and like hiding from the terrorists,

866
00:46:23,280 --> 00:46:27,359
Speaker 1: he's going to see a naked woman. I think it's

867
00:46:27,400 --> 00:46:31,400
Speaker 1: like a magazine pin up and like like out loud

868
00:46:31,880 --> 00:46:37,120
Speaker 1: actively decide not to jack off during this terrorist situation.

869
00:46:37,320 --> 00:46:40,480
Speaker 2: He's like, nah, ladies, ah, I can't do it.

870
00:46:41,080 --> 00:46:42,760
Speaker 3: Do it right now? Not right now?

871
00:46:43,160 --> 00:46:46,399
Speaker 1: Like yeah, it was just such a such a thing.

872
00:46:46,600 --> 00:46:48,959
Speaker 1: Everyone was so horny. It was just like popping through

873
00:46:49,120 --> 00:46:49,720
Speaker 1: the surface.

874
00:46:49,920 --> 00:46:50,120
Speaker 3: Right.

875
00:46:50,480 --> 00:46:52,440
Speaker 2: But you know, I think there's also too right, Like

876
00:46:52,480 --> 00:46:55,279
Speaker 2: we were talking about this I think yesterday about just

877
00:46:55,360 --> 00:46:59,000
Speaker 2: how younger people are more informed now and they're much savvier,

878
00:46:59,480 --> 00:47:02,319
Speaker 2: so they they sense bullshit a lot quicker than like

879
00:47:02,480 --> 00:47:04,879
Speaker 2: I would as like a thirteen year old and things

880
00:47:04,920 --> 00:47:08,239
Speaker 2: like that, So like authenticity is like the real thing

881
00:47:08,400 --> 00:47:11,200
Speaker 2: that they're like looking for because it feels like everything

882
00:47:11,239 --> 00:47:15,040
Speaker 2: around them is just some weird, fake vapor wave vaporware

883
00:47:15,239 --> 00:47:18,680
Speaker 2: version of like real life and like so then they

884
00:47:18,800 --> 00:47:21,440
Speaker 2: talk about too like for them. And I know, Jason,

885
00:47:21,480 --> 00:47:23,080
Speaker 2: you talked about this. Maybe one of the last times

886
00:47:23,120 --> 00:47:25,719
Speaker 2: you came on was just how everyone's on TikTok and

887
00:47:25,920 --> 00:47:28,319
Speaker 2: now all those kids that are on there, like this

888
00:47:28,440 --> 00:47:32,480
Speaker 2: is actually the most authentic media platform for us, because

889
00:47:32,640 --> 00:47:35,919
Speaker 2: I'd rather just see someone work their shift at McDonald's

890
00:47:36,000 --> 00:47:40,320
Speaker 2: or something and share that versus some like hyper overly

891
00:47:40,400 --> 00:47:44,040
Speaker 2: produced like big budget YouTube video or something like that.

892
00:47:44,239 --> 00:47:47,160
Speaker 2: But yeah, it's uh, I think I think it's a

893
00:47:47,160 --> 00:47:49,080
Speaker 2: good trend and I hope that, you know, we'll see

894
00:47:49,080 --> 00:47:51,480
Speaker 2: if Hollywood gets that message where they're like they don't

895
00:47:51,680 --> 00:47:55,799
Speaker 2: like things based on comic books or video games that

896
00:47:55,840 --> 00:48:01,040
Speaker 2: their parents liked. Hmm, okay, maybe we'll make something original now,

897
00:48:01,200 --> 00:48:03,400
Speaker 2: but we'll see, we'll see TBD.

898
00:48:03,880 --> 00:48:05,920
Speaker 4: We do think that it's interesting that part of the

899
00:48:06,040 --> 00:48:10,160
Speaker 4: fantasy is watching friends, Like the whole idea of if

900
00:48:10,160 --> 00:48:12,719
Speaker 4: you've lost a lot of real life friendships, now that

901
00:48:12,920 --> 00:48:15,399
Speaker 4: is a fantasy to engage in. It is like what

902
00:48:15,440 --> 00:48:18,800
Speaker 4: if somebody had a gang of friends and that they

903
00:48:19,160 --> 00:48:23,640
Speaker 4: they find that as a form of pornography because it's like,

904
00:48:23,719 --> 00:48:26,440
Speaker 4: this is something I can watch and imagine myself, what

905
00:48:26,520 --> 00:48:28,200
Speaker 4: if I had all of those friends. You know, I'll

906
00:48:28,200 --> 00:48:31,719
Speaker 4: watch Stranger Things, a show about loaners and losers. But

907
00:48:31,800 --> 00:48:35,239
Speaker 4: this group of loaners and losers have eleven friends, right,

908
00:48:35,280 --> 00:48:37,759
Speaker 4: they could. They could form an entire football team if

909
00:48:37,800 --> 00:48:38,320
Speaker 4: they wanted.

910
00:48:39,680 --> 00:48:41,120
Speaker 3: Yeah, and it's funny.

911
00:48:41,160 --> 00:48:43,719
Speaker 2: Stranger Things was listed as one of like their like

912
00:48:43,880 --> 00:48:46,920
Speaker 2: top series for this group of people because again they

913
00:48:47,239 --> 00:48:50,560
Speaker 2: despite the romantic tension that exists here and there, they're like, yeah,

914
00:48:50,600 --> 00:48:53,600
Speaker 2: we like that. That end the Summer I Turned Pretty

915
00:48:54,160 --> 00:48:56,760
Speaker 2: was another one that got high marks from them.

916
00:48:57,080 --> 00:48:59,880
Speaker 1: Is that not a I would have assumed that that

917
00:49:00,200 --> 00:49:04,200
Speaker 1: was like a romantic bit, like a show about romances,

918
00:49:04,480 --> 00:49:07,279
Speaker 1: but it's just a show about friendships basically.

919
00:49:07,440 --> 00:49:09,239
Speaker 2: Well, you know, it's funny because it is about a

920
00:49:09,280 --> 00:49:12,799
Speaker 2: love drunk. Oh okay, it's I think because it's more

921
00:49:12,920 --> 00:49:15,719
Speaker 2: talking about like I think for younger audiences, they just

922
00:49:15,920 --> 00:49:18,640
Speaker 2: like that it's like this high school thing that sort

923
00:49:18,680 --> 00:49:20,480
Speaker 2: of feels like a crush triangle.

924
00:49:20,640 --> 00:49:22,239
Speaker 3: Yeah, yeah, yeah, yeah.

925
00:49:21,920 --> 00:49:27,279
Speaker 1: I also think that the content that has been very

926
00:49:27,320 --> 00:49:30,920
Speaker 1: popular for a while has already been reflecting this. I

927
00:49:31,040 --> 00:49:36,000
Speaker 1: think part of Nolan's popularity is that he is an

928
00:49:36,080 --> 00:49:37,960
Speaker 1: incredibly sexless director.

929
00:49:38,160 --> 00:49:39,160
Speaker 3: I've talked about that.

930
00:49:39,040 --> 00:49:42,600
Speaker 1: Before, like that Oppenheimer was like his attempt to like

931
00:49:42,680 --> 00:49:45,200
Speaker 1: make a sexy movie, but like all those sex scenes

932
00:49:45,239 --> 00:49:49,960
Speaker 1: were like very weird and felt alien and yeah.

933
00:49:50,200 --> 00:49:54,320
Speaker 2: Like just just someone who has been intimate with another person.

934
00:49:54,200 --> 00:49:57,759
Speaker 1: Yeah, just like it'sn't comfortable with it. And like I

935
00:49:57,760 --> 00:50:00,319
Speaker 1: think that's also true of the superhero movie these that

936
00:50:00,320 --> 00:50:03,160
Speaker 1: were like incredibly dominant for a long time, like the

937
00:50:03,160 --> 00:50:08,319
Speaker 1: the Avengers movie, like the the one love like relationship

938
00:50:08,360 --> 00:50:12,360
Speaker 1: with like Black Widow. Was it Black Widow and Hulk

939
00:50:12,440 --> 00:50:15,520
Speaker 1: had a relationship at some point in there was.

940
00:50:15,520 --> 00:50:19,840
Speaker 2: I famously have not seen those movies. Maybe some Victor

941
00:50:20,000 --> 00:50:24,920
Speaker 2: Victor came in with the producer Victor. Yep, it was them,

942
00:50:24,960 --> 00:50:27,120
Speaker 2: Like they they had a graphic sex scene.

943
00:50:27,160 --> 00:50:27,680
Speaker 3: Is that right?

944
00:50:28,120 --> 00:50:30,800
Speaker 1: Oh no, yeah, you're right, that is that's just the

945
00:50:30,840 --> 00:50:34,080
Speaker 1: fan art that I yeah ordered, it's the AI stuff

946
00:50:34,080 --> 00:50:34,680
Speaker 1: you've been making.

947
00:50:34,920 --> 00:50:35,799
Speaker 3: Yeah, yeah, but.

948
00:50:36,160 --> 00:50:38,560
Speaker 2: No, but that that part also like jumped out to me.

949
00:50:38,600 --> 00:50:41,440
Speaker 1: It's like, God, this feels really weird and like forced,

950
00:50:41,840 --> 00:50:45,319
Speaker 1: So like I feel I feel like the art has

951
00:50:45,400 --> 00:50:49,160
Speaker 1: also like been reflecting this for a while and people

952
00:50:49,280 --> 00:50:52,920
Speaker 1: are just you know, we're just now like catching up

953
00:50:52,960 --> 00:50:56,160
Speaker 1: to it. That like people want content that doesn't have

954
00:50:57,200 --> 00:51:00,000
Speaker 1: sex in it or like doesn't have this like sexual

955
00:51:00,280 --> 00:51:00,600
Speaker 1: or just.

956
00:51:00,560 --> 00:51:03,680
Speaker 2: The message that that's the most important thing or that's

957
00:51:03,719 --> 00:51:06,520
Speaker 2: how people connect is like that they have to have sex.

958
00:51:06,600 --> 00:51:08,879
Speaker 2: So now the characters can like open up to each

959
00:51:08,920 --> 00:51:11,840
Speaker 2: other or something, you know, like versus Yeah, sometimes you

960
00:51:11,880 --> 00:51:14,560
Speaker 2: can just like be friends with people, because I feel

961
00:51:14,600 --> 00:51:17,879
Speaker 2: for sure, like you know, like there's like so many

962
00:51:17,960 --> 00:51:21,200
Speaker 2: men have like an inability to have like platonic relationships

963
00:51:21,239 --> 00:51:22,719
Speaker 2: a lot of time with women. I think a lot

964
00:51:22,719 --> 00:51:25,200
Speaker 2: of that can be reinforced from like a lifetime or

965
00:51:25,239 --> 00:51:28,719
Speaker 2: your adolescence, like watching content that's like yeah, the man

966
00:51:28,760 --> 00:51:31,719
Speaker 2: and the woman have to get together. Yeah, and that's

967
00:51:31,920 --> 00:51:35,960
Speaker 2: those are the only options your failure otherwise, right, Right.

968
00:51:36,120 --> 00:51:38,399
Speaker 4: She's taking advantage of you if if she doesn't give

969
00:51:38,440 --> 00:51:41,000
Speaker 4: you sex, and if you are merely friends and you

970
00:51:41,000 --> 00:51:42,839
Speaker 4: you are, you're a dope.

971
00:51:42,600 --> 00:51:46,719
Speaker 2: You're right. And we're seeing that like pasticized into these

972
00:51:46,719 --> 00:51:50,200
Speaker 2: other sort of like you know, movements or subcultures where

973
00:51:50,280 --> 00:51:52,600
Speaker 2: it's sort of built on this like expectation, like, but

974
00:51:52,640 --> 00:51:54,920
Speaker 2: this is what I've been sold for my whole life.

975
00:51:55,480 --> 00:52:00,000
Speaker 1: Yeah, And I'm like looking at seventies movies and eighties

976
00:52:00,080 --> 00:52:04,000
Speaker 1: movies now, like I find it a little weird how

977
00:52:04,280 --> 00:52:07,399
Speaker 1: casually everyone was having sex with one another and that

978
00:52:07,400 --> 00:52:10,360
Speaker 1: that was just like a way like it was like,

979
00:52:10,360 --> 00:52:12,160
Speaker 1: come on, man, why are you so uptight? And like

980
00:52:12,239 --> 00:52:15,080
Speaker 1: everybody I don't know, like and I guess I kind

981
00:52:15,080 --> 00:52:17,360
Speaker 1: of always did, but I was just assuming that was

982
00:52:17,400 --> 00:52:19,680
Speaker 1: like what it was like to be an adult. But

983
00:52:20,920 --> 00:52:24,080
Speaker 1: I yeah, I do think it's interesting that like from

984
00:52:24,719 --> 00:52:27,960
Speaker 1: that era of like the seventies, we've gotten like less

985
00:52:27,960 --> 00:52:31,239
Speaker 1: and less what some people would call progressive. But like,

986
00:52:31,920 --> 00:52:34,880
Speaker 1: I don't know, I feel like this is a long

987
00:52:35,000 --> 00:52:38,360
Speaker 1: continuum that's been happening and it's not just that like

988
00:52:38,440 --> 00:52:42,840
Speaker 1: porn's everywhere now. I think also things were like a

989
00:52:42,840 --> 00:52:45,600
Speaker 1: little weird and like during the seventies, like some of

990
00:52:45,640 --> 00:52:49,839
Speaker 1: the I feel like the male gaze was just like

991
00:52:50,120 --> 00:52:53,520
Speaker 1: so dominant that it like kind of got a little

992
00:52:53,520 --> 00:52:54,239
Speaker 1: bit out of hand.

993
00:52:54,640 --> 00:52:57,040
Speaker 2: Oh yeah, well, and again, like I think it's it's

994
00:52:57,080 --> 00:53:00,319
Speaker 2: just how the growth or the difference is generationally. Again,

995
00:53:00,400 --> 00:53:03,360
Speaker 2: these younger kids, they know more sooner and they know

996
00:53:03,440 --> 00:53:06,399
Speaker 2: a lot more. And you look at eighties movies and stuff,

997
00:53:06,440 --> 00:53:10,040
Speaker 2: it's like consent isn't even a concept that exists in

998
00:53:10,080 --> 00:53:12,680
Speaker 2: those It's more like, Yo, that guy snuck in on

999
00:53:12,719 --> 00:53:16,240
Speaker 2: those ladies changing and got to see boobs. He's fucking

1000
00:53:16,360 --> 00:53:18,959
Speaker 2: cool and you're like, what the fuck is that? What's

1001
00:53:19,000 --> 00:53:21,399
Speaker 2: that saying? Or like you see because sometimes I've seen

1002
00:53:21,440 --> 00:53:23,480
Speaker 2: on TikTok where like younger people are like looking at

1003
00:53:23,480 --> 00:53:26,200
Speaker 2: these movies, like what the fuck was wrong with you guys,

1004
00:53:26,600 --> 00:53:29,040
Speaker 2: like what is this scene? And you're like, you're right,

1005
00:53:29,120 --> 00:53:29,680
Speaker 2: I don't know.

1006
00:53:30,120 --> 00:53:31,200
Speaker 3: Did you watch me changing?

1007
00:53:31,320 --> 00:53:31,720
Speaker 1: Cameron?

1008
00:53:32,360 --> 00:53:34,280
Speaker 2: That's okay, all right?

1009
00:53:35,000 --> 00:53:36,640
Speaker 1: Moving along. Feris Feelers.

1010
00:53:36,800 --> 00:53:39,480
Speaker 4: It's like if the events of Revenge of the Nerds

1011
00:53:39,520 --> 00:53:43,440
Speaker 4: actually occurred, it would be an international news story. That

1012
00:53:43,520 --> 00:53:46,040
Speaker 4: would be they would be talking about her from the

1013
00:53:46,080 --> 00:53:47,320
Speaker 4: floor of Congress.

1014
00:53:49,080 --> 00:53:49,400
Speaker 3: Yeah.

1015
00:53:49,520 --> 00:53:51,960
Speaker 1: I just watched one of the movies in that new

1016
00:53:51,960 --> 00:53:57,200
Speaker 1: Beverly Quentin Tarantino movie theater double feature, was this like

1017
00:53:57,280 --> 00:54:03,239
Speaker 1: Clint Eastwood like police drama serial killer thing, but like

1018
00:54:03,400 --> 00:54:07,200
Speaker 1: he is. He spends the movie investigating like this serial

1019
00:54:07,280 --> 00:54:11,080
Speaker 1: killer who keeps killing sex workers in New Orleans, but

1020
00:54:11,200 --> 00:54:13,680
Speaker 1: like also having sex with the sex workers, and it's

1021
00:54:13,680 --> 00:54:18,120
Speaker 1: clear that like the serial killer is targeting the ones

1022
00:54:18,160 --> 00:54:22,120
Speaker 1: that he has sex with, and he just like doesn't stop,

1023
00:54:22,320 --> 00:54:24,839
Speaker 1: and there's not not really like consequences for it. It's

1024
00:54:24,880 --> 00:54:27,640
Speaker 1: just like, yeah, well that's what a man does, right.

1025
00:54:27,680 --> 00:54:30,160
Speaker 2: He's like, but I killed the other guy though, right,

1026
00:54:30,400 --> 00:54:34,000
Speaker 2: and it's like, oh, okay, yeah, great, lesson.

1027
00:54:34,280 --> 00:54:37,399
Speaker 1: Anyways, Jason Pargin, what a pleasure having you on the show.

1028
00:54:37,480 --> 00:54:41,000
Speaker 1: As always, Where can people find you? Follow you?

1029
00:54:41,080 --> 00:54:42,000
Speaker 3: All that good stuff.

1030
00:54:42,880 --> 00:54:44,600
Speaker 4: So the book that is coming out in a few

1031
00:54:44,680 --> 00:54:47,960
Speaker 4: days is called Zoe is Too Drunk for This Dystopia.

1032
00:54:48,040 --> 00:54:50,480
Speaker 4: It is the third book in the Zoe Ash series.

1033
00:54:50,560 --> 00:54:54,240
Speaker 4: The first one is called Futuristic Violence and Fancy Suits.

1034
00:54:54,280 --> 00:54:57,359
Speaker 4: The second is called Zoe Punches to Future and The Dick.

1035
00:54:57,920 --> 00:55:00,239
Speaker 4: Those first two are up on Kindle Unlimited for free

1036
00:55:00,280 --> 00:55:03,120
Speaker 4: if you've got that otherwise, you could probably find very

1037
00:55:03,160 --> 00:55:06,239
Speaker 4: inexpensive copies of it somewhere. I can. I am on

1038
00:55:06,360 --> 00:55:11,000
Speaker 4: TikTok at Jason K. Pargin. I have three hundred and

1039
00:55:11,000 --> 00:55:16,520
Speaker 4: thirty thousand followers on there now wow, that same username.

1040
00:55:16,600 --> 00:55:19,440
Speaker 4: I'm on most other platforms. If you're not on TikTok

1041
00:55:19,800 --> 00:55:21,759
Speaker 4: I'm not saying you should or shouldn't be. That's just

1042
00:55:21,840 --> 00:55:24,560
Speaker 4: where that's where the people are it. It appears just

1043
00:55:24,560 --> 00:55:25,440
Speaker 4: where the action is.

1044
00:55:25,480 --> 00:55:25,800
Speaker 3: Baby.

1045
00:55:26,719 --> 00:55:29,520
Speaker 1: And is there a work of media or a tweet

1046
00:55:29,600 --> 00:55:30,520
Speaker 1: that you've been enjoying.

1047
00:55:31,400 --> 00:55:33,839
Speaker 4: Yeah, I got this tweet here where a guy has

1048
00:55:33,920 --> 00:55:37,640
Speaker 4: said this New Jersey rest stop has a virtual bon

1049
00:55:37,800 --> 00:55:41,400
Speaker 4: Jovi we live in an era of wonders and miracles.

1050
00:55:41,440 --> 00:55:43,960
Speaker 4: And it has a video clip of they have a

1051
00:55:44,080 --> 00:55:49,000
Speaker 4: full body screen slash hologram of a John bon Jovi

1052
00:55:49,120 --> 00:55:52,320
Speaker 4: you can interact with as the ambassador of the state

1053
00:55:52,360 --> 00:55:55,200
Speaker 4: of New Jersey. I guess and yeah, this is what

1054
00:55:55,239 --> 00:55:56,920
Speaker 4: technology has given us.

1055
00:55:57,239 --> 00:56:02,200
Speaker 1: Yeah, and he the it's a virtual John bon Jovi

1056
00:56:02,640 --> 00:56:06,120
Speaker 1: in the sense of like how he's like standing awkwardly

1057
00:56:06,440 --> 00:56:09,360
Speaker 1: and like smiles at you and then like unfolds his

1058
00:56:09,520 --> 00:56:11,680
Speaker 1: arms and kind of gives you a head nod, but

1059
00:56:11,960 --> 00:56:13,920
Speaker 1: like doesn't really know what to do with his hand.

1060
00:56:14,120 --> 00:56:16,719
Speaker 1: Like it's it's exactly what Joan bon Jovi would be

1061
00:56:16,760 --> 00:56:19,040
Speaker 1: doing if he was in a box there and they

1062
00:56:19,040 --> 00:56:22,239
Speaker 1: were like, just hang out Joan bon Jovi, don't it's

1063
00:56:22,280 --> 00:56:26,040
Speaker 1: such a weird Yeah, They're just like this is we

1064
00:56:26,360 --> 00:56:29,080
Speaker 1: have John bon Jovi in a box life size and

1065
00:56:29,560 --> 00:56:30,520
Speaker 1: this this is what it's like.

1066
00:56:31,239 --> 00:56:34,239
Speaker 3: How you doing bro exactly? Yeah, yeah, exactly.

1067
00:56:34,280 --> 00:56:35,919
Speaker 2: That is you're taking a pooh you're doing at number

1068
00:56:35,920 --> 00:56:36,640
Speaker 2: one or number two?

1069
00:56:36,719 --> 00:56:37,080
Speaker 1: All right?

1070
00:56:37,160 --> 00:56:38,640
Speaker 3: Man, all right, take care.

1071
00:56:39,160 --> 00:56:40,080
Speaker 4: Welcome New Jersey.

1072
00:56:40,360 --> 00:56:42,640
Speaker 3: Yeah, the Garden stateum.

1073
00:56:42,360 --> 00:56:44,799
Speaker 1: Man, Miles, where can people find you?

1074
00:56:44,840 --> 00:56:47,600
Speaker 2: What's working media? You've been enjoying at Miles of Gray

1075
00:56:47,760 --> 00:56:50,600
Speaker 2: wherever they got the at symbols. Find us on the

1076
00:56:50,640 --> 00:56:54,000
Speaker 2: Basketball podcast Miles and Jackot mad Boosti's the NBA season

1077
00:56:54,080 --> 00:56:57,000
Speaker 2: kicked off. The Lakers are right back where they ended

1078
00:56:57,000 --> 00:57:00,279
Speaker 2: the last season, losing to the Nuggets. It was sight

1079
00:57:00,440 --> 00:57:02,960
Speaker 2: to see uh. And also find me on four to

1080
00:57:02,960 --> 00:57:05,120
Speaker 2: twenty Day Fiance where I talk about ninety day Fiance

1081
00:57:05,600 --> 00:57:08,200
Speaker 2: and the Good Thief, which is true crime but without killing,

1082
00:57:08,239 --> 00:57:10,920
Speaker 2: talking about the Greek robin hood who is robbing the

1083
00:57:11,000 --> 00:57:13,799
Speaker 2: rich and giving it away. A tweet I like is

1084
00:57:13,840 --> 00:57:18,920
Speaker 2: from at Ryo a Wryote maybe it's Ryote and it's

1085
00:57:18,920 --> 00:57:20,760
Speaker 2: a graphic. It says like, I don't know if you've

1086
00:57:20,800 --> 00:57:23,320
Speaker 2: heard this story about the javelinas that are like these

1087
00:57:23,320 --> 00:57:26,240
Speaker 2: pig like animals that have been like fucking up golf

1088
00:57:26,240 --> 00:57:28,919
Speaker 2: courses in Arizona and people are like, why are they

1089
00:57:28,920 --> 00:57:30,920
Speaker 2: doing this? It's like cause you shouldn't have a fucking

1090
00:57:31,000 --> 00:57:33,880
Speaker 2: golf course in the desert, asshole, And they're looking for water.

1091
00:57:34,400 --> 00:57:36,760
Speaker 2: And the tweet has like a nice info or like

1092
00:57:36,800 --> 00:57:39,880
Speaker 2: a graphic, like a cartoon of the these animals like biting,

1093
00:57:40,000 --> 00:57:41,920
Speaker 2: like breaking in half golf clubs, and it says no

1094
00:57:42,080 --> 00:57:45,840
Speaker 2: place for golf in the desert. Yeah, I as an Angelino,

1095
00:57:46,040 --> 00:57:50,560
Speaker 2: I very strongly believe that fu fuck these golf courses

1096
00:57:50,680 --> 00:57:53,520
Speaker 2: or make them parks for people to fucking enjoy. Yes,

1097
00:57:54,080 --> 00:57:55,880
Speaker 2: I'm sorry, I'm sorry, and I'm just getting word in

1098
00:57:55,960 --> 00:57:59,040
Speaker 2: the chat from super producer Catherine that I am completely

1099
00:57:59,080 --> 00:58:01,960
Speaker 2: fucking up. The pronunci as is actually Hobblelina.

1100
00:58:02,400 --> 00:58:04,320
Speaker 3: Mister Hobblelina, mister bob Hobblelina.

1101
00:58:04,400 --> 00:58:09,240
Speaker 1: Okay, yes tweets, I've been enjoying. No Garfin Goal tweeted

1102
00:58:09,240 --> 00:58:12,160
Speaker 1: pretty wild that the Greeks pioneered drama and went straight

1103
00:58:12,200 --> 00:58:14,800
Speaker 1: to guy killed his dad and slept with his mom,

1104
00:58:14,920 --> 00:58:18,640
Speaker 1: completely skipping past dog can play sports and goofy neighbor

1105
00:58:19,680 --> 00:58:24,480
Speaker 1: and Eden Dranger tweeted, don't don't mean to get political.

1106
00:58:24,640 --> 00:58:27,400
Speaker 1: The big shout out to farts that sound like questions.

1107
00:58:27,840 --> 00:58:30,640
Speaker 1: Oh yeah, those are those are always a good time.

1108
00:58:31,360 --> 00:58:35,560
Speaker 1: You can find me on Twitter at Jack Underscore O'Brien.

1109
00:58:35,600 --> 00:58:37,920
Speaker 1: You can find us on Twitter at Daily Zeitgeist. Where

1110
00:58:37,920 --> 00:58:40,520
Speaker 1: at the Daily Zeitgeist on Instagram, we have a Facebook

1111
00:58:40,560 --> 00:58:43,400
Speaker 1: fan page and a website, Daily Zeitgeist dot com.

1112
00:58:43,600 --> 00:58:45,520
Speaker 2: But we post our episodes.

1113
00:58:44,960 --> 00:58:47,840
Speaker 1: And our footnotes where we link off the information that

1114
00:58:47,880 --> 00:58:50,160
Speaker 1: we talked about today's episode as well as a.

1115
00:58:50,160 --> 00:58:53,400
Speaker 3: Song, and we think you might enjoy something.

1116
00:58:53,440 --> 00:58:55,960
Speaker 2: Do we think people might just mean like new jazz

1117
00:58:56,560 --> 00:58:59,440
Speaker 2: music from Kareem Riggins, who's a like one of my

1118
00:58:59,440 --> 00:59:03,000
Speaker 2: favorite part users and drummers. You know, he's like worked

1119
00:59:03,040 --> 00:59:05,040
Speaker 2: with people like Jay Dilla, you know, like he's kind

1120
00:59:05,040 --> 00:59:07,960
Speaker 2: of in that realm and he's drumming is fantastic. This

1121
00:59:08,080 --> 00:59:11,520
Speaker 2: track is called twelves in eight, a little reference I

1122
00:59:11,520 --> 00:59:13,760
Speaker 2: believe for the time signature of the song. But yeah,

1123
00:59:13,760 --> 00:59:17,880
Speaker 2: it's great drumming, great melodies and easy, easy listening, no lyrics.

1124
00:59:18,000 --> 00:59:20,959
Speaker 2: Just put it on and enjoy Kareem Riggans twelves in eight.

1125
00:59:21,600 --> 00:59:24,080
Speaker 1: All right, We will link off to that in the footnotes.

1126
00:59:24,160 --> 00:59:26,320
Speaker 2: The dailyes he Guys is a production of iHeart Radio.

1127
00:59:26,360 --> 00:59:28,920
Speaker 1: For more podcasts from My Heart Radio, visit the iHeartRadio app,

1128
00:59:28,920 --> 00:59:31,240
Speaker 1: Apple podcast, or wherever you listen to your favorite shows.

1129
00:59:31,280 --> 00:59:32,160
Speaker 3: That is gonna do.

1130
00:59:32,120 --> 00:59:34,520
Speaker 1: It for us this morning, back this afternoon to tell

1131
00:59:34,560 --> 00:59:35,720
Speaker 1: you what is trending and we will.

1132
00:59:35,600 --> 00:59:36,240
Speaker 2: Talk to you all then.

1133
00:59:36,320 --> 00:59:38,000
Speaker 3: Bye bye,