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Speaker 1: Hello the Internet, and welcome to season forty six, Episode

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Speaker 1: three of The Daily Night Guys. Wednesday, August twenty nine,

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Speaker 1: two thousand and eight. Teama names Jack O'Brien a K

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Speaker 1: eight six seven five three O'Brian, and I'm thrilled to

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Speaker 1: be joined as always by my co host, Mr Miles Greg.

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Speaker 1: There's this place, sun Ocean Avan, New where Miles would

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Speaker 1: used to sit and talk with you. We were both

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Speaker 1: sixteen and it felt so right, sleeping all gray, staying

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Speaker 1: fall nine fucking Yellow Card Ocean Avenue a game by

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Speaker 1: Hannah Soultist at Soultists. Hannah, thank you. I remember when

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Speaker 1: you tweeted that man I said this is a go

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Speaker 1: because I love this song. And also fun fact, the

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Speaker 1: violinist who played in Yellow Card, he tried to claim

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Speaker 1: to people that he invented the rock back flood, like

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Speaker 1: he was the first dude to do a back football stage.

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Speaker 1: It really fair. I was like, okay, you, I'd be

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Speaker 1: the first with a violin in a rock band do

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Speaker 1: a backflip on stage. But come on, my guy, that's

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Speaker 1: not true. That's a great claim to make. MAA K

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Speaker 1: was courtesy of Levi Tucker or Levy Tucker probably by Yeah,

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Speaker 1: I think I got it read Levy anyways, and I

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Speaker 1: may have done that one before recorded the Supercuser next stuff,

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Speaker 1: but it's a good one. So you're welcome for the

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Speaker 1: rerun only the hit. We're thrilled to be joined in

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Speaker 1: a third seat by the co host of the hottest

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Speaker 1: new podcast on the Hey Solt's What's On Network? Uh?

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Speaker 1: The Bechdel Cast is that podcast? Please welcome cateland Hi

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Speaker 1: a k a. Launder Titanic, which is an anagram for

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Speaker 1: Caitlin Toronto Launder titan Huh. I have a bunch of these,

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Speaker 1: so every time I come on, um lab burn them all. Now,

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Speaker 1: I know, okay, never mind, never mind, let me read it,

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Speaker 1: but I don't Latin Latin dancer U t I's amazing

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Speaker 1: are those are courtesy Those are courtesy of my pal

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Speaker 1: comedian Zack strawynd damn. But I have written a few

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Speaker 1: of my own. So there's like ten of these out there,

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Speaker 1: so and more if you want to try anagramming some

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Speaker 1: of these yourself, I wonder what is mine? A very

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Speaker 1: strange way, very funny dude and good Latin dancer. Well, Jamie,

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Speaker 1: my co host of the bacol cast. She drew illustrations

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Speaker 1: for a lot of the so I'll show see that's

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Speaker 1: why your merch store so lit. Also go get their

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Speaker 1: March yea, their March Feminist Icon T shirt. It's selling

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Speaker 1: better than Kanye West clothing brand. It is the hottest

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Speaker 1: selling merch on the hay Slits. What's up network merch store.

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Speaker 1: I don't know if I'm even allowed to say that,

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Speaker 1: but it's the trade secrets bucket. Alright, Caitlin, We're gonna

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Speaker 1: get to know you even better. But first we're gonna

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Speaker 1: tell our listeners what we're gonna be talking about today.

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Speaker 1: We're gonna be talking about America's consumption engine, our consumer

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Speaker 1: confidence is at an eighteen year high. H and also

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Speaker 1: unboxing videos. There are seventy four million of them on

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Speaker 1: the Internet. So we thought we'd celebrate those two testaments

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Speaker 1: to just the very acute form of insanity that we

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Speaker 1: suffer from as a nation. We're going to talk about

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Speaker 1: more Like Me Who because louis back and Miles is

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Speaker 1: loving it. Uh, And we're also gonna be talking about

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Speaker 1: how Woody Allen is doing these days a little twin

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Speaker 1: me too update. I don't know why I used a

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Speaker 1: baby boys that was a little creepy. We're gonna be

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Speaker 1: talking about the president's anti Google rant, gish gallop tastic

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Speaker 1: to quote Andrew Tea and then somebody who adds tactic

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Speaker 1: on the end of words. Uh. We're gonna talk seven

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Speaker 1: eleven finally having its own delivery app, which is big

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Speaker 1: news for dirt bags everywhere. We're gonna talk about how

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Speaker 1: I'm including myself. We're gonna talk about how American Land

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Speaker 1: is actually used. There's a pretty cool article with like

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Speaker 1: really cool illustrations about what the actual United States of

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Speaker 1: America is made up of. And we're gonna talk about

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Speaker 1: a study that found that no level of drinking is

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Speaker 1: safe despite all these years of you know, us telling

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Speaker 1: ourselves and being told that like a glass of red

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Speaker 1: wine at night, it's actually good for you. Yeah, there

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Speaker 1: you go. Nice. I just wrote that hot off the

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Speaker 1: presses my mind. Miles. Just throw that postcard down and

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Speaker 1: onto the next joke. But first, Caitlin, we like to

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Speaker 1: ask our guest, what is something from your search history

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Speaker 1: that's revealing about who you are. I just searched for

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Speaker 1: Ewok Adventure DVD. I don't exactly remember why I searched

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Speaker 1: for this, but I did, and I think I was

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Speaker 1: like trying to figure out if if that Ewok Adventure

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Speaker 1: movie was canon, and I guess if it was on

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Speaker 1: DVD because I specifically searched for the DVD of it.

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Speaker 1: Do you have a DVD player? I sure do you do?

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Speaker 1: You got to these days? You don't have now I'm

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Speaker 1: still VHS man. No, I I don't have one. Well,

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Speaker 1: if you if you recall, I'm one of the few

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Speaker 1: people left alive who is still getting DVDs from Netflix. Oh,

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Speaker 1: but there's three million of you, I think still rely

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Speaker 1: a lot. It was some really wild figure like that.

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Speaker 1: It's probably like people like fifty year older. I'm guessing

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Speaker 1: I know my mother is definitely one of them. Yes,

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Speaker 1: that was the thing. Three million people are still getting

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Speaker 1: DVDs delivered to them from Netflix because a lot of stuff,

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Speaker 1: you know, like if you want, my mom watched a

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Speaker 1: bunch of obscure BBC dramas like English dramas, you can

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Speaker 1: only get that on the DVD. So that's how you

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Speaker 1: know she watched her like POI row Old school Ship.

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Speaker 1: I mean the DVDs you have access to basically everything, right, Essentially,

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Speaker 1: they have DVD. If it is a DVD, I mean,

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Speaker 1: I feel like maybe there's some obscure things that you

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Speaker 1: can't get, but by and large, right yeah, I think so.

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Speaker 1: I don't know. You're the one using it. I'm the

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Speaker 1: expert here. Yeah, they got every they got it all

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Speaker 1: pretty much. Did you look on Netflix for that You

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Speaker 1: Walk Adventure DVD? I didn't. I don't necessarily care enough

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Speaker 1: to watch it. I just wanted to make sure it

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Speaker 1: was out there, it actually happened, and wasn't like a

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Speaker 1: hallucination from the child. Were there too or was there

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Speaker 1: just one caravan of courage? You know what? I simply

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Speaker 1: don't know. I remember when it came out as a kid,

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Speaker 1: I just kind of felt cheated because I was like,

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Speaker 1: that's the thing from Star Wars. Where's the all the

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Speaker 1: other the real Star Wars stuff? On my excuse me?

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Speaker 1: E Walks are the coolest part of Star Wars. They're violent,

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Speaker 1: cannibal they eat people, and I mean, I don't know,

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Speaker 1: I don't know, I don't really trust widget. I think

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Speaker 1: they're vegetarians, are very peaceful. Oh yeah, I would rewatch

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Speaker 1: the Jedi. They are eating out of a helmet at

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Speaker 1: one point, and like it's implied that they're they're like

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Speaker 1: using stormtrooper skulls as like dish. Yeah, their femur bones

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Speaker 1: and drumsticks. Yeah, which makes me like them more. Yeah,

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Speaker 1: you know what's crazy? As I pull this up, So

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Speaker 1: I'm sorry I said widget incorrectly. It's actually Wicked I've forgotten,

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Speaker 1: and that was played by Warick Davis, who we all know,

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Speaker 1: that great English actor. Also, Tony Cox played another ewok

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Speaker 1: named Whittle, and I don't remember Tony Cox. He's the

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Speaker 1: small gentleman from the Bad Santa movies. Who was Billy

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Speaker 1: Billy bout Thorton side kid. Yeah yeah, yeah, so gosh

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Speaker 1: they're out here. What careers? What careers they have? Caitlin,

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

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Speaker 1: Instagram stories are overrated because one, I don't know how

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Speaker 1: to use them perfect. This will fit in good when

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Speaker 1: we talk about Trump musing Google. But also I don't

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Speaker 1: like that they like disappear and I know you can

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Speaker 1: save them to your whatever, but I think that our

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Speaker 1: attention spans are just they're just getting shorter and shorter

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Speaker 1: and these are so fleeting and I don't know. So

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Speaker 1: it's the like ephemeral aspect of it that you don't like. Yeah,

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Speaker 1: like what if I missed something someone posted? Yeah. I

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Speaker 1: got a very complex relationship with these stories because party

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Speaker 1: was like, well what if I missed something? Though, but

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Speaker 1: they overrated. And so I played a soccer game the

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Speaker 1: other day, brag which one Yeah, yeah, the playing that

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Speaker 1: last night. Yeah, I was on the field soccer. We

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Speaker 1: need to get a team going. I know you've been

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Speaker 1: talking about this, Okay, Well, so I was playing real

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Speaker 1: life soccer and Jamie Yummy, she was nice enough to

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Speaker 1: come and watch my game, and she took an Instagram

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Speaker 1: story of me almost scoring a goal so close but

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Speaker 1: it was like a good shot and I was like, oh,

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Speaker 1: I'd like to have this forever, but it disappeared. But

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Speaker 1: I think some if you have an option to archive

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Speaker 1: all of your stories too, I think it's on something.

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Speaker 1: I don't know how it, but it's the shortness of

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Speaker 1: it that you're a little bit like, yeah, and I

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Speaker 1: think it's just like contributing to just this cultural thing

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Speaker 1: that's happening of like no attention spans, as we like

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Speaker 1: if a video is longer than like thirty seconds on

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Speaker 1: everyone's like thirty seconds. This Lawrence Arabia. So yeah, I

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Speaker 1: don't know. I find myself really getting lost in because

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Speaker 1: they're so short that you can just like tap tap

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Speaker 1: tap tap tap, and you just it's like learning something

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Speaker 1: through the matrix where it's just little flashes of imag

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Speaker 1: Like I think, I just kept up with my friends

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Speaker 1: child birth and now they have a home and this

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Speaker 1: person is on vacation and you ate a crambrule a

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Speaker 1: waffle and the Instagram story to their childbirth. Yeah, that

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Speaker 1: is very disrespectful to that child. Like that's like you

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Speaker 1: saw that keep crowning right right, Like, oh my god,

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Speaker 1: my water broke. There should be a story like that

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Speaker 1: that that's the next level, right because I feel like

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Speaker 1: the last big Instagram story that really had got into

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Speaker 1: culture was that woman who like captured the couple on

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Speaker 1: the airplane and was like I switched seats with them,

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Speaker 1: Like we're watching this couple fall in love right in

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Speaker 1: front of us. Do you remember that? And a lot

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Speaker 1: of people were like, that's an invasion of their privacy,

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Speaker 1: But that was like I feel like one of the

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Speaker 1: times where that format sort of played out in this

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Speaker 1: this bigger way outside of Instagram. But anyway, anyway, the

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Speaker 1: big thing I think we learned there is some podcasting

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Speaker 1: duos actually show up to each other's intermural sporting events. Mild.

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Speaker 1: I don't think Intermure World Dungeons and Dragons is a

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Speaker 1: sword whatever whatever. Jackie's is over there like LARPing and

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Speaker 1: you're like, I don't want to go to I've one

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Speaker 1: and the Evil King, the Hot Dog guys like you

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Speaker 1: know that night Elf. I'm like, no, Jackie's guys. Heroin Dealer, Caitlin,

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Speaker 1: what is something that you think is underrated? The film,

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Speaker 1: the cinematic marvel Christopher Robin. Really now it's talking about it.

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Speaker 1: It was really good. I cried the whole time. It's

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Speaker 1: no Paddington, but thank you, okay good. Nothing is, of course,

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Speaker 1: is as good as Paddington, but Christopher Robin it. I

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Speaker 1: didn't know that I had so much nostalgia for Winnie

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Speaker 1: the Pooh and like that narrative in those characters. But

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Speaker 1: I watched that movie in theaters the other day and

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Speaker 1: I could not stop weeping. And it's like there's weird

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Speaker 1: components of it where like it's not just like a

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Speaker 1: figment of Christopher Robbin's imagination in this world point right,

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Speaker 1: but like other people can see Winny po and it

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Speaker 1: makes for a really weird narrative choice. But setting that aside,

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Speaker 1: it's a great movie and I loved it so much.

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Speaker 1: Or the reality of Christopher Robin's life, what do you mean,

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Speaker 1: because I know we were talking about how it's sort

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Speaker 1: of like glosses over the fact that the real Christopher

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Speaker 1: Robin was like hated the relationship you had to the

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Speaker 1: Winnie the Pooh thing, and how like it caused him

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Speaker 1: a lot of problems as a child growing up because

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Speaker 1: everywhere he went people to be like, you're Christopher Robbin,

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Speaker 1: you must love Winnie the Pooh And he's like, I'm

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Speaker 1: a grown adult. Gave me the funk alone. You asked, right,

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Speaker 1: And he like sold his rights to the things for

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Speaker 1: like a pit and she's like, just I don't want

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Speaker 1: anything to do with it. I didn't really. Yeah, he

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Speaker 1: was bully so bad. He literally had to learn how

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Speaker 1: to box to fight bullies as a child because he

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Speaker 1: was just constantly being tormented for his relationship to these

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Speaker 1: fait cats stuffed animals. Um, But that doesn't mean the

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Speaker 1: movie couldn't be bad. I do think there's a metaphor there, though,

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Speaker 1: for the death of imagination and Western culture because that

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Speaker 1: was the value of it. It's like, oh, he has

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Speaker 1: imaginary friends that he plays with and then now they're

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Speaker 1: being co opted into actually existing characters in this like

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Speaker 1: brand universe. So you're wrong for liking that movie, Caitlin, Well,

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Speaker 1: you know what I usually am. By the way, I

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Speaker 1: don't want to people you don't know what the Bechdel

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Speaker 1: cast is. It is where the best take down the

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Speaker 1: patriarchy one movie at a time with film reviews. Yeah,

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Speaker 1: so Caitlin should be listened to and respected on all

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Speaker 1: movie In the movie, does Christopher Robin come off as

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Speaker 1: like a mentally healthy person? Um? He yes, he's mentally sound.

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Speaker 1: He's he's tortured in that like he spends too much

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Speaker 1: time working and he's not paying enough attention to his family.

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Speaker 1: But seems as though mentally, yeah, he's like of a

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Speaker 1: sound mental state. Okay, yes, right, I guess I'll watch

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Speaker 1: this version because yeah, I think when we're talking about

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Speaker 1: it was sort of fitting into the broader theme of

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Speaker 1: the Disney universe obscuring the actual history of the people

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Speaker 1: that were involved in their films. But yeah, and I

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Speaker 1: mean all of the characters in the Winnie the Pooh universe,

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Speaker 1: or a lot of them at least could be seen

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Speaker 1: to represent different mental Yeah, they're like manifestations of like, yeah,

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Speaker 1: anxiety disorders. Piglet your is obviously depression. Tigger is sort

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Speaker 1: of like kind of recklessness like tigers clearly manic, right, yeah,

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Speaker 1: from Rap City the Basement on BT Big Tigger. Okay,

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Speaker 1: you gotta watch never Mind best for the real heads, Caitlin,

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Speaker 1: What is a myth? What is something people think it's

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Speaker 1: true that you know to be evolved? Well, let's say

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Speaker 1: your vape pen isn't working. Oh, just stop, don't scare

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Speaker 1: me like that. Wait, do you know that my pen

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Speaker 1: isn't working? Or you who told you? I just come

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Speaker 1: into your house and checked out your vas it's working, Caitlyn. Okay,

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Speaker 1: well let's say that mine, specifically I favor Caitlin va

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Speaker 1: pen isn't working, which it is not. Um. You might

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Speaker 1: think that turning it off and turning it back on

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Speaker 1: again fixes it, but it does not. It's spoken, and

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Speaker 1: I don't know how it happens that my alright, So

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Speaker 1: what you're saying is you need a new vape pen? Yes?

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Speaker 1: Are you smoking? Like weird? Vapes like a like a

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Speaker 1: weird Duncan hunter congressman. Just like CBD. I can't even

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Speaker 1: smoke like weed. It's just vape vape weed. Uh yeah,

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Speaker 1: THHD apparently gives me panic attacks, but yeah, um, do

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Speaker 1: you wanna play soccer together our anxiety. I've been experimenting

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Speaker 1: with CBD, the Gateway drug, yeah, because I thought it

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Speaker 1: would help me sleep, But I don't know, it's broken.

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Speaker 1: I tried it, like I've done it like five times,

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Speaker 1: and people like, oh, like you you need to recharge

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Speaker 1: the battery, Like, yeah, I've tried that. Those things are

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Speaker 1: really cheap. Though every time I have a battery for

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Speaker 1: like those vape cartridges, the ship's fucking they die so

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Speaker 1: quickly or that like you'll screw it on too tight

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Speaker 1: and unscrewed and it's broken. If you're listening out there

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Speaker 1: and you make good vape batteries, I'll pay more than

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Speaker 1: like the ten bucks that you're asking for for something

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Speaker 1: that would last a little bit longer. And also, guys,

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Speaker 1: if you were a dispensary and you've got the vape

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Speaker 1: pen hook up, holler at Caitlin and just giving you

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Speaker 1: all that good merch and you all this good content

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Speaker 1: and you can't hook her up with a vape pen battery.

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Speaker 1: Come on now, come on, bloom farms, come through. We

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Speaker 1: are a podcast of vape kings and queens. If nothing else,

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Speaker 1: let's talk consumption, guys, because US consumer confidence has hit

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Speaker 1: an eighteen year high. This is the number one headline

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Speaker 1: on Drudge Report this morning, with a picture of Trump

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Speaker 1: looking like you just shipped himself, but like in a

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Speaker 1: competent way. And some pushback that we got from I

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Speaker 1: was supprised to find that there's still some I think

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Speaker 1: economic conservatives who listened to our show and they were like, yeah, well,

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Speaker 1: the tax breaks aren't a scam because they're giving people

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Speaker 1: eight hundred dollars a year. And I do think that

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Speaker 1: that is true. People like getting money for free, and

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Speaker 1: they have given people a nominal amount of money. I

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Speaker 1: think just my assumption is that you know, and like

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Speaker 1: Bush gave people tax cuts during his presidency and the

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Speaker 1: economy was solid, the economy actually had a surplus, but

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Speaker 1: then you know a couple of wars and a stock

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Speaker 1: market crash later, and you know you needed that money.

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Speaker 1: So I don't know, nobody's arguing that people don't like money.

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Speaker 1: But it's the main people who benefited from those tax

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Speaker 1: cuts are the ultra wealthy. So why why yes, on paper,

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Speaker 1: sure you got eight hundred bucks some people. The people

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Speaker 1: who are really fucking laughing their ass off to the

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Speaker 1: bank are people who are have millions of dollars. So yeah,

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Speaker 1: sure if you want to go down that road. But

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Speaker 1: to say that those tax cuts are like, you have

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Speaker 1: teachers being like, well, holy sh it, now I don't

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Speaker 1: have to worry about my wages because I think what

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Speaker 1: in Colorado, Washington teachers are going to strike the first

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Speaker 1: day already. Let's be real, like that obscures the fact that,

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Speaker 1: you know, sure these people get eight hundred dollars, but

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Speaker 1: we still have no real meaningful wages for people that

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Speaker 1: that That doesn't have to be the thing we pulled up.

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Speaker 1: It's just a question of the overall health of the

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Speaker 1: system where people can't pay for their own health care

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Speaker 1: and an unprecedented amount of the wealth is in the

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Speaker 1: hands of very few people. But we wanted to talk

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Speaker 1: about a consequence of this vast consumerist system that we

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Speaker 1: exist in. So I used to work on a YouTube

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Speaker 1: channel for Cracked, and you know, I I knew about

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Speaker 1: all the trends out there, but I hadn't thought about

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Speaker 1: unboxing videos in a couple of years. And there's this

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Speaker 1: video that was released by The New York Times that

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Speaker 1: is just sort of a review of the phenomenon of

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Speaker 1: unboxing videos. Is made by Amanda Hess and her very

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Speaker 1: talented editor, and it just does a good job of

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Speaker 1: making me see the existence of unboxing videos again with

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Speaker 1: fresh eyes and abject terror, the way that like someone

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Speaker 1: will see them in two hundred years and whatever museum

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Speaker 1: people are looking back at us, and when I'm like,

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Speaker 1: what the fun another civilization comes from? Yeah? What other

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Speaker 1: countries still exist? Uh So for people who don't know

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Speaker 1: what unboxing videos are, because she points out that when

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Speaker 1: you search on boxing videos on YouTube, it returns seventy

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Speaker 1: four million results. So there's seventy four million on boxing

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Speaker 1: videos on YouTube. At least a million of those are

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Speaker 1: ones I've made, so so just keep that in mind.

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Speaker 1: But she calls it consumerist SMR because there is like

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Speaker 1: sort of a tactile aspect where you just see them

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Speaker 1: open the box with an iPhone. The emphasize the peeling

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Speaker 1: back of that like clear plastic that comes on the

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Speaker 1: screen of your iPhone. Keep that on as long as possible.

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Speaker 1: You keep that. Yeah, when I when I first get

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Speaker 1: a phone, like it's like a when I usually leave

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Speaker 1: the sticker on my hat, be like, no, leave that on,

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Speaker 1: take it off. All bets are off. It's that's why

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Speaker 1: my vay pen is broken. I didn't take I never

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Speaker 1: took it out of the box, smoking that plastic cover. Like,

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Speaker 1: why is that woman just sucking on a small rectangular box. Nope,

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Speaker 1: I don't know. I don't know how to use this

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Speaker 1: um still in the box. It's also an interesting phenomenon

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Speaker 1: because I feel like it's one of those I don't know,

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Speaker 1: it's not necessarily clear what it's replacing. Like I feel

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Speaker 1: like celebrity and model Instagram feeds are replacing sort of

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Speaker 1: the fashion magazine and shows like you know, cribs and

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Speaker 1: lifestyles of the rich and famous. But this feels more

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Speaker 1: new and like sort of pornographic. She speculates that it's

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Speaker 1: sort of a replacement for retail therapy, where you just

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Speaker 1: go to the grocery store or like a big box

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Speaker 1: store and just walk aimlessly around and see all the

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Speaker 1: kind of cool colors and things organized neatly, which I

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Speaker 1: think is definitely a thing. Is retail therapy just going

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Speaker 1: around and looking at ship or you buy ship. I

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Speaker 1: think it can be either, but it's just there is

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Speaker 1: a form of retail therapy where uh. There's actually a

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Speaker 1: good section in White Noise where he talks about like

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Speaker 1: going to the grocery store. He's like having this existential

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Speaker 1: crisis and he goes to the grocery store and just

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Speaker 1: like all the colors and like all the consumerism is

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Speaker 1: just like grocery stores are probably America's greatest like invention,

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Speaker 1: because like people coming from other countries are like, holy shit,

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Speaker 1: they've never seen anything like all the you know, brightly

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Speaker 1: colored organized just sensory overload. But because we're I guess

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Speaker 1: moving away from brick and mortar stores, we now have

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Speaker 1: to find that sensory overload elsewhere and so that this

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Speaker 1: may be one of the places we're finding it. But

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Speaker 1: it's clearly scratching some itch that exists in you know. Well,

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Speaker 1: I think it's a thing right where our consumer culture,

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Speaker 1: like the intensity of the consumer culture remains the same,

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Speaker 1: if not increases. And then on the other end of

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Speaker 1: that curve is people's buying power is beginning to diminish.

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Speaker 1: So it might be closing that gap where you might

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Speaker 1: not be able to afford the thing that you want,

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Speaker 1: but you can watch somebody else get it and open

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Speaker 1: it and be like, oh ship, that's what that would

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Speaker 1: be like. I don't know. It feels like, you know,

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Speaker 1: it helps you feel like you are that you have

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Speaker 1: purchased it, or that's when I watched I'm like yeah,

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Speaker 1: because I sometimes you like opening something very meticulously, especially

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Speaker 1: if it's something expensive, and you're like, oh, then this

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Speaker 1: comes out or whatever. But I feel like, in a way,

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Speaker 1: like we were talking earlier, like if you're serious about

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Speaker 1: buying something, you'll probably read a review or watch a

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Speaker 1: review video because you're interested in like, Okay, this is

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Speaker 1: something I'm probably going to purchase and I'm able to,

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Speaker 1: so I want to know how that's going to fit in.

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Speaker 1: But other times, if that thing is a little bit

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Speaker 1: far off and you're like I'm never gonna buy that,

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Speaker 1: you can watch an unboxing video and just get the

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Speaker 1: thrill of that. I don't know, it could just be

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Speaker 1: like it's like oh this people are obtaining something and

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Speaker 1: you're satisfying that it's too of watching somebody obtains them. Yeah,

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Speaker 1: She speculates that it's sort of the ultimate type of

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Speaker 1: meaning in capitalist them because you're watching the product go

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Speaker 1: from its most valuable when it's still inside the box,

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Speaker 1: to like becoming a used product, and so there's like

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Speaker 1: some meaning or some sort of cultural exchange happening there

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Speaker 1: that we are sort of fetishizing. But I think it's

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Speaker 1: definitely true what what you were saying, because Miles, you

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Speaker 1: worked on a YouTube channel two and you were saying that,

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Speaker 1: like these types of videos are so successful that you

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Speaker 1: guys were just like, yeah, let's find doing unboxing would

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Speaker 1: be like, oh, this format. It just made sense because

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Speaker 1: you're like, for whatever reason, if you have access to

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Speaker 1: an item and you unbox it and it's done in

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Speaker 1: the right way of the right personalities, like yeah, even

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Speaker 1: bigger companies like yeah, how do we how do we

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Speaker 1: ride that wave? But I think it also helps for

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Speaker 1: like you ever been to, like when you're a kid

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Speaker 1: at a birthday party, like your own birthday, and some

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Speaker 1: kid tries to open one of your fucking presence, you

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Speaker 1: know what I mean? Have you ever seen this at

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Speaker 1: a birthday part? Wait? Birthday okay, anyway, people like other

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Speaker 1: people birthday. Yes, it's your own birthday, there's some little

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Speaker 1: asshole kid be like trying to open your present. They're like,

424
00:25:07,680 --> 00:25:09,879
Speaker 1: oh no, no, that's not your gift. Not your gift.

425
00:25:10,280 --> 00:25:12,200
Speaker 1: You know, it's the same thing where you you get

426
00:25:12,280 --> 00:25:19,119
Speaker 1: the rush of like okay, yeah, what was the problem

427
00:25:20,400 --> 00:25:26,640
Speaker 1: I already apologize for trying to open was around about

428
00:25:26,680 --> 00:25:30,640
Speaker 1: what you know, that sensation where you're at Miles's birthday

429
00:25:30,720 --> 00:25:33,240
Speaker 1: party last year and there's a big box and you

430
00:25:33,359 --> 00:25:35,440
Speaker 1: just started tearing it open because I don't know, I

431
00:25:35,480 --> 00:25:38,720
Speaker 1: guess you spell Caitlin and my l E s now anyway,

432
00:25:39,080 --> 00:25:44,320
Speaker 1: but no, I think Caitlin actually anagrams to I don't know.

433
00:25:44,520 --> 00:25:47,040
Speaker 1: I watched I watched a lot of unboxing videos, or

434
00:25:47,119 --> 00:25:49,200
Speaker 1: I have watched a lot in the past. It's mostly

435
00:25:49,280 --> 00:25:53,560
Speaker 1: around yeah, I know, especially like really nice packaging, and

436
00:25:53,680 --> 00:25:55,680
Speaker 1: it's sometimes when they hear like, oh this is this

437
00:25:55,840 --> 00:25:58,800
Speaker 1: is some good paper they're using, like they use those descriptions.

438
00:25:59,240 --> 00:26:02,160
Speaker 1: There's something about that. And also like I started watching

439
00:26:02,280 --> 00:26:05,640
Speaker 1: videos of dudes who just swim like in rivers where

440
00:26:05,640 --> 00:26:08,200
Speaker 1: people whitewater raft and they just like sort of trawl

441
00:26:08,320 --> 00:26:10,800
Speaker 1: the bottom for like lost cell phones, and like they'd

442
00:26:10,800 --> 00:26:13,800
Speaker 1: be like swamming the river and found three iPhones, and

443
00:26:13,880 --> 00:26:17,560
Speaker 1: I'm like, hell, yeah, you get those fucking iPhones and

444
00:26:17,680 --> 00:26:22,800
Speaker 1: some asshole water. Well sometimes right, some people have them

445
00:26:22,840 --> 00:26:25,119
Speaker 1: in like good cases, so like they pull them out

446
00:26:25,119 --> 00:26:27,040
Speaker 1: and they fully working a couple of the videos like

447
00:26:27,440 --> 00:26:29,280
Speaker 1: some people had just lost him. He found like a

448
00:26:29,359 --> 00:26:31,440
Speaker 1: new iPhone ten and like a zip block bag and

449
00:26:31,480 --> 00:26:33,240
Speaker 1: the light was still on, and he called him and

450
00:26:33,440 --> 00:26:35,399
Speaker 1: returned the phone to the owner or whatever. Which is

451
00:26:35,440 --> 00:26:37,560
Speaker 1: also kind of fun too, because then you feel you

452
00:26:37,600 --> 00:26:39,560
Speaker 1: can also put yourself in the position of someone who's

453
00:26:39,600 --> 00:26:41,879
Speaker 1: just lost a phone and like you hope that's how

454
00:26:41,960 --> 00:26:45,680
Speaker 1: people would interact with your lost like item. But yeah,

455
00:26:45,720 --> 00:26:48,280
Speaker 1: I also just like people fucking combing the bottoms of

456
00:26:48,320 --> 00:26:51,159
Speaker 1: the ocean the riverbeds for cell phones and you know,

457
00:26:51,320 --> 00:26:54,000
Speaker 1: headphones whatever. Wait till I show you this one Jack

458
00:26:54,080 --> 00:26:57,000
Speaker 1: he found. He found a Galaxy nine whatever and a

459
00:26:57,119 --> 00:26:59,959
Speaker 1: new iPhone. I mean, it's a person at least grateful

460
00:27:00,040 --> 00:27:01,920
Speaker 1: when he returned it. Or were they like, oh chill,

461
00:27:02,040 --> 00:27:04,120
Speaker 1: thanks bro, They were like, oh my, thank you so much,

462
00:27:04,160 --> 00:27:05,760
Speaker 1: thank you. I mean they were because they were like

463
00:27:05,840 --> 00:27:08,000
Speaker 1: I thought it was just gone forever. Because yeah, when

464
00:27:08,040 --> 00:27:11,240
Speaker 1: you have you've ever been whitewater rafting. Uh, You're like,

465
00:27:11,400 --> 00:27:13,920
Speaker 1: there's if I lost anything I don't have, If you

466
00:27:13,920 --> 00:27:15,440
Speaker 1: don't have goggles, there's no way you're gonna get this.

467
00:27:15,640 --> 00:27:16,960
Speaker 1: It's been a couple of weeks for me, so I

468
00:27:17,040 --> 00:27:19,760
Speaker 1: don't really remember since I last white Water the River

469
00:27:19,880 --> 00:27:22,400
Speaker 1: Wild was based on your life. That's how I get

470
00:27:22,440 --> 00:27:25,360
Speaker 1: to work. All Right, We're gonna take a quick break.

471
00:27:25,359 --> 00:27:40,399
Speaker 1: We'll be right back, and we're back. Uh, I don't know.

472
00:27:41,720 --> 00:27:43,879
Speaker 1: I made a little like bubble in my voice, like

473
00:27:43,960 --> 00:27:47,879
Speaker 1: it's sound like I was gonna start weeping, but I'm not.

474
00:27:49,640 --> 00:27:57,200
Speaker 1: It's so guess who's back again, Louise back. Uh So,

475
00:27:58,119 --> 00:28:04,520
Speaker 1: Louisy K did a surprise performance and she asturbated in

476
00:28:04,600 --> 00:28:08,840
Speaker 1: front of someone. Shout out to Twitter, where like dozens

477
00:28:08,920 --> 00:28:11,679
Speaker 1: of people made the joke. Isn't surprise performances what got

478
00:28:11,760 --> 00:28:14,919
Speaker 1: him in trouble in the first place. Doing a surprise

479
00:28:15,000 --> 00:28:18,920
Speaker 1: performance without the audience's consent sounds like he learned a

480
00:28:19,000 --> 00:28:24,639
Speaker 1: lot solid dead joke. Everyone, well done, Twitter, move on

481
00:28:24,800 --> 00:28:31,560
Speaker 1: to the next thing and racism go well. Apparently Louis

482
00:28:32,040 --> 00:28:36,080
Speaker 1: didn't mention the fact that he, you know, was in

483
00:28:36,160 --> 00:28:39,640
Speaker 1: the middle of this controversy and not really controversy that

484
00:28:39,760 --> 00:28:44,080
Speaker 1: he had done this horrible action and was just like

485
00:28:44,200 --> 00:28:48,400
Speaker 1: went up there and made observations about tipping waitresses and uh,

486
00:28:50,240 --> 00:28:56,760
Speaker 1: servers tips over, servers tip them over like like cow tipping, UH,

487
00:28:57,240 --> 00:29:01,400
Speaker 1: and traffic and racism. He was like, racism, that's not

488
00:29:01,600 --> 00:29:05,720
Speaker 1: the one with right, Okay, so I'll do commentary on that.

489
00:29:06,000 --> 00:29:08,280
Speaker 1: But he did at the Seller, which is the the

490
00:29:09,000 --> 00:29:11,520
Speaker 1: venue where I think in the opening of Louise Credit

491
00:29:11,600 --> 00:29:15,880
Speaker 1: like that's his What Yankee Stadium is to Derek Jeter

492
00:29:16,000 --> 00:29:18,080
Speaker 1: is what the Seller is to Louis c k basically,

493
00:29:18,160 --> 00:29:21,280
Speaker 1: so it's he went into the most friendly territory. But

494
00:29:21,360 --> 00:29:24,480
Speaker 1: who knows if they said he got a standing ovation, Yes,

495
00:29:26,160 --> 00:29:29,520
Speaker 1: that's fucking weird. I don't know. I don't understand that

496
00:29:29,920 --> 00:29:31,880
Speaker 1: it's kicked off a lot of stuff because I know

497
00:29:32,480 --> 00:29:35,160
Speaker 1: Michael ian Black was sort of saying, oh, it's it's

498
00:29:35,200 --> 00:29:37,200
Speaker 1: good to see him get out there after you know,

499
00:29:37,320 --> 00:29:39,840
Speaker 1: he's just you know, caught up in this stuff, and

500
00:29:39,960 --> 00:29:43,640
Speaker 1: you're like, uh, way to sort of totally mischaracterize all

501
00:29:43,640 --> 00:29:46,200
Speaker 1: of this. Well. Also, a lot of the conversations have

502
00:29:46,320 --> 00:29:49,239
Speaker 1: been around like how will these abusers, like how can

503
00:29:49,320 --> 00:29:53,080
Speaker 1: we reintegrate them into society and how can they redeem themselves?

504
00:29:53,120 --> 00:29:55,120
Speaker 1: And it's like, well, first of all, that should not

505
00:29:55,200 --> 00:29:58,640
Speaker 1: be the priority. Like the priority should be like paying

506
00:29:58,680 --> 00:30:01,160
Speaker 1: attention to the victims, the people like the women who

507
00:30:01,280 --> 00:30:04,920
Speaker 1: quit comedy and like their careers and comedy are over

508
00:30:05,160 --> 00:30:08,920
Speaker 1: because they spoke out and then they were threatened and

509
00:30:09,320 --> 00:30:12,240
Speaker 1: you know, black balled and all that stuff. So like

510
00:30:12,360 --> 00:30:14,600
Speaker 1: the focus in a lot of these conversations has been

511
00:30:15,280 --> 00:30:17,840
Speaker 1: I'm like, oh, the abusers, and like what are we

512
00:30:17,880 --> 00:30:22,040
Speaker 1: gonna do about them? It's turned into aw abusers basically

513
00:30:22,120 --> 00:30:23,880
Speaker 1: is what you can distill a lot of that sentiment

514
00:30:23,920 --> 00:30:27,760
Speaker 1: down what it's been ten months. Once it gonna be enough, guys,

515
00:30:27,880 --> 00:30:30,960
Speaker 1: come on, like what the fuck? Honestly, like, for the

516
00:30:31,040 --> 00:30:32,760
Speaker 1: ship he did, he would probably spend more time in

517
00:30:32,840 --> 00:30:35,360
Speaker 1: jail than nine months if that went to a trial, right,

518
00:30:35,400 --> 00:30:37,680
Speaker 1: and you were like you were like locking people in

519
00:30:37,760 --> 00:30:40,080
Speaker 1: room a masturbasing I mean an ideal world, yeah, but

520
00:30:40,240 --> 00:30:43,280
Speaker 1: our justice system. But I mean, like if you if

521
00:30:43,280 --> 00:30:45,720
Speaker 1: you even took by the rubric of if most of

522
00:30:45,720 --> 00:30:48,480
Speaker 1: the time the justice system fails the victims of these things,

523
00:30:48,720 --> 00:30:50,440
Speaker 1: even if he were to do that, it would be

524
00:30:50,480 --> 00:30:52,640
Speaker 1: more than nine months, so he's actually even doing less time,

525
00:30:52,880 --> 00:30:57,320
Speaker 1: just late keeping low. I don't understand. It's been a

526
00:30:57,360 --> 00:30:59,520
Speaker 1: whole thing. We've just seen in the last four months too,

527
00:30:59,560 --> 00:31:01,960
Speaker 1: of a lot people starting to talk about how am

528
00:31:02,000 --> 00:31:04,720
Speaker 1: I going to get back in already trying to sound

529
00:31:04,760 --> 00:31:08,560
Speaker 1: out more opportunities for themselves. And I don't think that

530
00:31:08,760 --> 00:31:12,480
Speaker 1: redemption necessarily means Okay, you were on time out long enough,

531
00:31:12,640 --> 00:31:15,040
Speaker 1: Now come back to your seat of power and wealth

532
00:31:15,520 --> 00:31:17,720
Speaker 1: and there you go, when that was the exact thing

533
00:31:17,800 --> 00:31:22,120
Speaker 1: you were weaponizing to behave in this manner. So at

534
00:31:22,160 --> 00:31:24,520
Speaker 1: the very least, he hasn't even done the bare minimum

535
00:31:24,600 --> 00:31:27,880
Speaker 1: of convincing people that he actually understands what he did, right,

536
00:31:27,960 --> 00:31:31,760
Speaker 1: he's still not holding himself accountable for what he did

537
00:31:32,320 --> 00:31:35,400
Speaker 1: at all. My proposal for if there is any sort

538
00:31:35,440 --> 00:31:39,480
Speaker 1: of redemption in these scenarios, and it is your responsibility

539
00:31:39,680 --> 00:31:42,800
Speaker 1: to come up with it as a woman, tell us

540
00:31:42,880 --> 00:31:45,120
Speaker 1: what have you come up with for people like him?

541
00:31:45,480 --> 00:31:48,800
Speaker 1: T J. Miller, Chris Hardwick, Like they should get rid

542
00:31:48,800 --> 00:31:51,400
Speaker 1: of all their wealth, give it to like rain or

543
00:31:51,480 --> 00:31:55,760
Speaker 1: something an organization like that, getting marooned onto that like

544
00:31:55,960 --> 00:32:00,480
Speaker 1: giant pile of trash that's floating around the gyre and

545
00:32:00,560 --> 00:32:05,560
Speaker 1: then um live on that in obscurity until they pass away. Wow. Okay,

546
00:32:05,600 --> 00:32:08,440
Speaker 1: so that's my idea of their redemption justice corner with

547
00:32:09,640 --> 00:32:12,120
Speaker 1: there probably is like enough food out there, like in

548
00:32:12,200 --> 00:32:15,840
Speaker 1: the garbage that waste, so much food waste. I mean,

549
00:32:16,480 --> 00:32:19,520
Speaker 1: just open up one of those malformed, sun warped bottles

550
00:32:19,600 --> 00:32:21,720
Speaker 1: of whatever, and there's probably some kind of nutrients in that.

551
00:32:22,800 --> 00:32:26,000
Speaker 1: Our writer J. M McNabb was pointing out that while

552
00:32:26,480 --> 00:32:30,480
Speaker 1: it seems like we are giving Louis parole for good

553
00:32:30,560 --> 00:32:35,200
Speaker 1: behavior or no behavior, Woody Allen is it looks like

554
00:32:35,720 --> 00:32:40,880
Speaker 1: being sort of blacklisted in a good way. I don't know,

555
00:32:41,080 --> 00:32:44,080
Speaker 1: can you blacklist someone in a good way? I mean,

556
00:32:44,160 --> 00:32:48,040
Speaker 1: first of all, his movies have never really been financially successful,

557
00:32:48,160 --> 00:32:52,840
Speaker 1: and so he always relies on wealthy people to be like, hey, yeah,

558
00:32:52,960 --> 00:32:55,959
Speaker 1: we'll pay for your movie because it's cool for us

559
00:32:56,080 --> 00:32:58,560
Speaker 1: to say we were attached to a Woody Allen movie.

560
00:32:59,160 --> 00:33:03,200
Speaker 1: And now that it is becoming more and more kind

561
00:33:03,240 --> 00:33:07,080
Speaker 1: of acknowledged that he sexually abused a child, at the

562
00:33:07,200 --> 00:33:09,719
Speaker 1: very least that you know, that's no longer a cool thing,

563
00:33:09,800 --> 00:33:12,520
Speaker 1: and so he is for the first time since the

564
00:33:12,640 --> 00:33:15,800
Speaker 1: year nine one, he is not going to be releasing

565
00:33:15,840 --> 00:33:20,800
Speaker 1: a movie this year, which he really tends to turn

566
00:33:20,920 --> 00:33:23,760
Speaker 1: those out. But he does not have a movie on

567
00:33:23,840 --> 00:33:26,680
Speaker 1: the horizon because he can't. He can't find any back

568
00:33:26,760 --> 00:33:29,920
Speaker 1: You can't find any financial backers. Yeah, they said he's

569
00:33:29,960 --> 00:33:33,719
Speaker 1: taking time off to look for financial backers, and like, oh, well,

570
00:33:33,800 --> 00:33:36,480
Speaker 1: I think that means he's taking time off to find

571
00:33:36,640 --> 00:33:42,840
Speaker 1: people with no moral scruples, right, yeah, he's what that is, right, son,

572
00:33:42,920 --> 00:33:46,120
Speaker 1: I don't fucking like Gluis. Come on, now, you got

573
00:33:46,240 --> 00:33:48,080
Speaker 1: to know this is not right. Going up there and

574
00:33:48,200 --> 00:33:52,760
Speaker 1: just like completely ignoring it and talking about tipping is

575
00:33:52,960 --> 00:33:56,360
Speaker 1: the worst thing. You can't write it seems very I

576
00:33:56,400 --> 00:33:58,320
Speaker 1: don't know, because you could. That's like being like an

577
00:33:58,360 --> 00:34:00,080
Speaker 1: injured athlete where you're like, all right, we'll mind me

578
00:34:00,200 --> 00:34:03,200
Speaker 1: healed back up and I'm back out there. Nothing went wrong?

579
00:34:03,600 --> 00:34:07,520
Speaker 1: What I mean, it's like, yeah, okay, you've completely Yeah. Well,

580
00:34:08,400 --> 00:34:10,120
Speaker 1: as we said, we were always wondering how long it

581
00:34:10,120 --> 00:34:11,880
Speaker 1: would take from of these people to think that you

582
00:34:11,960 --> 00:34:14,120
Speaker 1: get confident enough to be like, okay, let's dip the

583
00:34:14,200 --> 00:34:17,520
Speaker 1: tone in and see what happens. I hope that there

584
00:34:17,520 --> 00:34:20,279
Speaker 1: will be enough public outcry that he will understand that

585
00:34:21,200 --> 00:34:23,400
Speaker 1: no one, I'm certainly not interested in seeing him come

586
00:34:23,440 --> 00:34:26,920
Speaker 1: back anytime soon. That they'll that will translate. But again,

587
00:34:27,000 --> 00:34:29,080
Speaker 1: you think about all the people that depend on him

588
00:34:29,120 --> 00:34:31,120
Speaker 1: for a check, like publicists and Asian thing like that.

589
00:34:31,239 --> 00:34:34,480
Speaker 1: They're probably thinking, they're like, yeah, like let's okay, let's see,

590
00:34:34,560 --> 00:34:37,040
Speaker 1: maybe let's see if this cash can can can start

591
00:34:37,120 --> 00:34:39,920
Speaker 1: generating something like let's see. That's a point that I've

592
00:34:39,960 --> 00:34:44,800
Speaker 1: heard made about just in the context of Trump's scandal,

593
00:34:45,120 --> 00:34:49,520
Speaker 1: that celebrities are entire industries. They basically have an industries

594
00:34:49,560 --> 00:34:53,560
Speaker 1: built around them that are designed to keep their careers

595
00:34:53,600 --> 00:34:58,080
Speaker 1: moving forward because lots of paychecks come from that specific individual.

596
00:34:58,160 --> 00:35:02,879
Speaker 1: And so Trump has this whole He's a celebrity first,

597
00:35:02,920 --> 00:35:05,440
Speaker 1: then a politician, so he has this whole infrastructure of

598
00:35:05,480 --> 00:35:08,360
Speaker 1: people who are covering up his crimes to keep the

599
00:35:08,520 --> 00:35:13,880
Speaker 1: paychecks coming through. And yeah, I think the same goes here. Uh,

600
00:35:14,040 --> 00:35:16,600
Speaker 1: they said, I think one person called to complain about

601
00:35:16,680 --> 00:35:21,080
Speaker 1: him appearing at the club that day. I announced too,

602
00:35:21,120 --> 00:35:24,600
Speaker 1: it would be like, yo, I'm I'm surprised. I guess though, again,

603
00:35:24,719 --> 00:35:29,719
Speaker 1: because it is the seller like specific audience like yeah,

604
00:35:29,800 --> 00:35:35,000
Speaker 1: that appeals to gosh, what was this standing is like,

605
00:35:35,040 --> 00:35:38,520
Speaker 1: if you don't stand whatever, we'll see. There is a

606
00:35:38,719 --> 00:35:41,920
Speaker 1: great list that I found particularly useful going around of

607
00:35:42,160 --> 00:35:45,680
Speaker 1: fifty one comedians who never forced women to watch them masturbate.

608
00:35:46,040 --> 00:35:52,239
Speaker 1: And uh, there's some great comedians on their one of

609
00:35:52,320 --> 00:35:55,759
Speaker 1: our other shows. Uh, A couple of therapy is on their,

610
00:35:56,120 --> 00:35:58,520
Speaker 1: Brandy Posey, Barbara Gray, A lot of a lot of

611
00:35:58,560 --> 00:36:02,319
Speaker 1: great comedians who you have, Riley Silverman, Sarah just heard

612
00:36:02,400 --> 00:36:07,280
Speaker 1: last week Sarah Sefer ashling b O, Jesus and Marrow. Alright,

613
00:36:08,520 --> 00:36:10,319
Speaker 1: although I don't know Meryl, he said he was into

614
00:36:10,360 --> 00:36:14,800
Speaker 1: some scumbag stuff back in the daylight. And Donald Trump

615
00:36:15,160 --> 00:36:19,280
Speaker 1: is taking on Google. He does not think that Google

616
00:36:19,440 --> 00:36:23,760
Speaker 1: is being fair to him. This is it's so sometimes

617
00:36:23,840 --> 00:36:26,560
Speaker 1: you can just clearly see where he's getting information. There

618
00:36:26,800 --> 00:36:30,080
Speaker 1: was a article on Drudge, which is like one of

619
00:36:30,239 --> 00:36:33,000
Speaker 1: the places that it's safe for Trump to look because

620
00:36:33,040 --> 00:36:36,239
Speaker 1: he knows they will be talking about how great he is. Uh. Well,

621
00:36:36,239 --> 00:36:38,880
Speaker 1: they also covered it on a Fox News segment to okay,

622
00:36:39,040 --> 00:36:41,919
Speaker 1: so maybe Fox News saw it on drugs can't read

623
00:36:43,400 --> 00:36:47,760
Speaker 1: my bad. But it's based on this article from PJ

624
00:36:48,040 --> 00:36:54,000
Speaker 1: Media Pajamas Media, which is what's PJ Media. Pajama Media. Really,

625
00:36:54,680 --> 00:36:57,680
Speaker 1: I think that's what the guy named his company, so

626
00:36:57,760 --> 00:37:00,880
Speaker 1: please take them seriously. It's an American can servative news,

627
00:37:01,080 --> 00:37:06,320
Speaker 1: opinion and commentary collaborative. The article's argument has a couple

628
00:37:06,320 --> 00:37:09,040
Speaker 1: of logical flaws. It says that Google's top results are

629
00:37:09,080 --> 00:37:12,279
Speaker 1: all liberal leaning when you search for Trump news, so

630
00:37:12,600 --> 00:37:16,600
Speaker 1: they're rubric for judging whether something is liberal leaning. Is

631
00:37:17,080 --> 00:37:21,200
Speaker 1: a like media bias chart that was made by an

632
00:37:21,560 --> 00:37:25,560
Speaker 1: like wildly conservative source. Because among those sites they consider

633
00:37:25,719 --> 00:37:32,080
Speaker 1: liberal are the AP Reuters USA today like these, Yeah,

634
00:37:32,160 --> 00:37:34,400
Speaker 1: but we've talked about this. When you state fact and

635
00:37:34,600 --> 00:37:38,400
Speaker 1: objectively what he is doing is bad, they cannot accept

636
00:37:38,560 --> 00:37:41,239
Speaker 1: that because it's they that that is the one of

637
00:37:41,280 --> 00:37:43,440
Speaker 1: the true bubbles they operate in, or just a denial

638
00:37:43,520 --> 00:37:45,359
Speaker 1: that's at work where it's like, oh my god, can

639
00:37:45,400 --> 00:37:47,840
Speaker 1: you believe they actually said that this many kids were

640
00:37:47,880 --> 00:37:50,840
Speaker 1: separated from their families. That's hate or stuff they're talking

641
00:37:50,880 --> 00:37:53,880
Speaker 1: about the AP. You can tell that it's an objective

642
00:37:54,160 --> 00:37:58,600
Speaker 1: work of reportage because the writer laments that the site

643
00:37:59,320 --> 00:38:01,960
Speaker 1: on which the article is appearing doesn't appear in the

644
00:38:02,040 --> 00:38:05,000
Speaker 1: top results for that search. They're like, we're not on there.

645
00:38:05,160 --> 00:38:11,360
Speaker 1: So what the funks up with that? So what mej media? Yeah? Not,

646
00:38:11,520 --> 00:38:14,440
Speaker 1: as mentioned, pajama media is not on there, so it

647
00:38:14,560 --> 00:38:17,000
Speaker 1: might be a conflict of interest. You know what is

648
00:38:17,040 --> 00:38:23,680
Speaker 1: on there? That was ninety news and the PJA Media's

649
00:38:23,719 --> 00:38:26,400
Speaker 1: logo is like one of those like kids onesies with

650
00:38:26,480 --> 00:38:29,719
Speaker 1: the butt flap. Oh my, what the fun that's not true?

651
00:38:30,920 --> 00:38:33,640
Speaker 1: I believe it though. Yeah, that someone was that it's

652
00:38:33,680 --> 00:38:36,880
Speaker 1: like just idiotic, and it was like, we're serious news source.

653
00:38:37,040 --> 00:38:39,960
Speaker 1: This is our logo, a butt flap one es. Let

654
00:38:40,000 --> 00:38:43,200
Speaker 1: me just double check that PJA media does every pajama

655
00:38:43,320 --> 00:38:49,560
Speaker 1: media just to make sure. Please let it be not No,

656
00:38:49,680 --> 00:38:53,920
Speaker 1: it's public Justice Media, jack damn it. Yeah. Originally known

657
00:38:54,000 --> 00:39:00,600
Speaker 1: as pajamas Media. Pajamas Yeah, pajamas pajamas media. Wow, So

658
00:39:00,680 --> 00:39:04,000
Speaker 1: there you go. Who even sleeps in pajamas like that anymore?

659
00:39:04,480 --> 00:39:06,600
Speaker 1: Nobody over the age of six. Although you know what,

660
00:39:06,719 --> 00:39:09,680
Speaker 1: I'll I won't lie around the holidays. I like to

661
00:39:09,760 --> 00:39:12,680
Speaker 1: put on a matching pajama set. Do you it makes

662
00:39:12,719 --> 00:39:16,160
Speaker 1: me feel with her majesty? Uh No, that's not really

663
00:39:16,280 --> 00:39:18,279
Speaker 1: because that's a that's a big thing on Instagram, is

664
00:39:18,360 --> 00:39:20,759
Speaker 1: like families that all have matching yeah, yeah, She's like,

665
00:39:20,840 --> 00:39:23,200
Speaker 1: take that dumb sh it off. But I'm like, it

666
00:39:23,360 --> 00:39:26,640
Speaker 1: feels so good. Also, it's too hot anyway, that's a

667
00:39:26,719 --> 00:39:29,560
Speaker 1: little fact about Miles likes to wear pajamas during the holidays.

668
00:39:30,280 --> 00:39:33,840
Speaker 1: But so anyways, Trump caught this story as it was

669
00:39:33,920 --> 00:39:39,200
Speaker 1: being regurgitated by Fox News, and he was piste. He

670
00:39:39,239 --> 00:39:41,840
Speaker 1: said in a tweet that Google search engine had quote

671
00:39:41,960 --> 00:39:46,360
Speaker 1: rigged news story search results to show mostly bad stories

672
00:39:46,400 --> 00:39:50,399
Speaker 1: about him and other conservatives. So the way Google search

673
00:39:50,440 --> 00:39:57,040
Speaker 1: algorithm works is basically using the behavior of respected outlets

674
00:39:57,200 --> 00:40:01,120
Speaker 1: to tell them which sites people would want to find.

675
00:40:01,560 --> 00:40:04,759
Speaker 1: You know, sometimes I don't know. I guess they have

676
00:40:05,000 --> 00:40:10,399
Speaker 1: judged that when people google Trump News, they shouldn't give

677
00:40:10,480 --> 00:40:14,640
Speaker 1: them results that are Trump opinion. Yeah, well I don't.

678
00:40:14,680 --> 00:40:17,239
Speaker 1: I've also noticed too that sometimes they will serve you

679
00:40:17,320 --> 00:40:20,480
Speaker 1: ship that is completely not what you want. Like I remember,

680
00:40:21,080 --> 00:40:24,520
Speaker 1: like any given political CONTROVERSI all then Google sometimes like

681
00:40:24,600 --> 00:40:28,480
Speaker 1: the top stories will come from like the Blaze or

682
00:40:28,520 --> 00:40:31,000
Speaker 1: other places like that, where I'm like, well, I definitely

683
00:40:31,280 --> 00:40:33,560
Speaker 1: these are not the druids I'm looking for. But yeah,

684
00:40:33,640 --> 00:40:36,160
Speaker 1: I don't know. There's not an individual person who is

685
00:40:36,280 --> 00:40:38,920
Speaker 1: scheming to give you the results. You know, it's all

686
00:40:39,040 --> 00:40:41,880
Speaker 1: an algorithm that can get fucked up and is just

687
00:40:42,239 --> 00:40:45,080
Speaker 1: you know, using all the words that they've read in

688
00:40:45,120 --> 00:40:49,400
Speaker 1: your email and you know, everything to personalize these results.

689
00:40:49,920 --> 00:40:52,239
Speaker 1: So it is weird. First of all, it's just weird

690
00:40:52,400 --> 00:40:56,360
Speaker 1: for them to like this entire article is based on

691
00:40:57,200 --> 00:41:00,480
Speaker 1: the author googling on one computer, and then at one

692
00:41:00,520 --> 00:41:02,400
Speaker 1: point they're like, and then I went and looked on

693
00:41:02,480 --> 00:41:07,960
Speaker 1: other computers because the results are personalized and found you know,

694
00:41:08,120 --> 00:41:10,920
Speaker 1: similar is stuff. But they don't give like specific details

695
00:41:10,960 --> 00:41:13,879
Speaker 1: at all. So it's clear that it's not a very

696
00:41:14,320 --> 00:41:16,760
Speaker 1: well fleshed out art. But I think what it boils

697
00:41:16,840 --> 00:41:19,880
Speaker 1: down to is that Trump is refusing to understand that

698
00:41:20,400 --> 00:41:23,319
Speaker 1: most of the things he's doing objectively comes off as

699
00:41:23,600 --> 00:41:26,759
Speaker 1: not good. Right. The other detail that they miss is

700
00:41:26,840 --> 00:41:31,200
Speaker 1: they're googling Trump news. News is not like Trump opinion.

701
00:41:31,640 --> 00:41:33,680
Speaker 1: It's you know, like a lot of the sites that

702
00:41:33,840 --> 00:41:38,800
Speaker 1: they're complaining aren't on. There are actually opinion based sites

703
00:41:38,880 --> 00:41:42,640
Speaker 1: and blogs like PJ Media is a blog and it's

704
00:41:42,680 --> 00:41:45,000
Speaker 1: not a place that breaks news. The places that break

705
00:41:45,080 --> 00:41:48,239
Speaker 1: news are the A P and Reuters and places that

706
00:41:48,320 --> 00:41:52,920
Speaker 1: actually pay for reporters to go out and do actual journalism.

707
00:41:53,360 --> 00:41:57,200
Speaker 1: So if you want to get right with quote news searches,

708
00:41:57,280 --> 00:42:01,000
Speaker 1: then you have to actually learn and adapt based on facts.

709
00:42:01,680 --> 00:42:05,279
Speaker 1: Uh that's what journalism is. So I don't know, but

710
00:42:06,239 --> 00:42:08,680
Speaker 1: who knows. But you know, I worked at the company

711
00:42:09,440 --> 00:42:16,800
Speaker 1: that we brag about to go off that worked primarily

712
00:42:16,920 --> 00:42:20,719
Speaker 1: made it their money by gaming Google's algorithm. I like,

713
00:42:20,960 --> 00:42:23,399
Speaker 1: my section didn't do that, but they had a whole

714
00:42:23,560 --> 00:42:26,319
Speaker 1: like their biggest section of the company at the time

715
00:42:26,520 --> 00:42:31,120
Speaker 1: was search engine optimization, and it was all about gaming

716
00:42:31,160 --> 00:42:35,400
Speaker 1: Google's algorithm. And it turns out like you can't full

717
00:42:35,520 --> 00:42:39,759
Speaker 1: Google's algorithm for that long with bad content because they

718
00:42:39,840 --> 00:42:43,719
Speaker 1: are constantly trying to upgrade it and make people like

719
00:42:44,080 --> 00:42:48,080
Speaker 1: only able to find the highest quality content. So yeah,

720
00:42:48,160 --> 00:42:50,560
Speaker 1: there's lots of smart people working on both sides to

721
00:42:50,760 --> 00:42:54,200
Speaker 1: full Google's algorithm and then from Google to make their

722
00:42:54,239 --> 00:42:58,240
Speaker 1: algorithm full proof and only you know, returning the highest

723
00:42:58,320 --> 00:43:02,120
Speaker 1: of quality information. And Trump's just mad that they don't

724
00:43:02,120 --> 00:43:04,680
Speaker 1: have any articles that are about what a boss he is.

725
00:43:05,200 --> 00:43:07,880
Speaker 1: And one it makes sense, he's all these other stories

726
00:43:07,920 --> 00:43:11,360
Speaker 1: around the White House administration, like they're all reports of

727
00:43:11,440 --> 00:43:15,640
Speaker 1: how he's been particularly in a bad mood since last

728
00:43:15,680 --> 00:43:18,960
Speaker 1: week and I wonder why as the walls are closing in,

729
00:43:19,200 --> 00:43:21,680
Speaker 1: which also brings me another point, because you know, we've

730
00:43:21,719 --> 00:43:25,480
Speaker 1: seen obviously with mana Fort being guilty and Michael Cohen

731
00:43:25,680 --> 00:43:27,640
Speaker 1: taking a plea deal and all these other things happening,

732
00:43:27,640 --> 00:43:30,160
Speaker 1: and then Manafort having another trial happening in d C.

733
00:43:30,360 --> 00:43:31,960
Speaker 1: And we found out he tried to make a deal

734
00:43:32,040 --> 00:43:35,040
Speaker 1: with Muller and Muller like walked away from it. That

735
00:43:35,600 --> 00:43:38,520
Speaker 1: ship's getting very real and we don't quite know yet.

736
00:43:38,600 --> 00:43:41,600
Speaker 1: But then I want to also bring up this idea

737
00:43:41,800 --> 00:43:45,640
Speaker 1: because Lindsey Graham went on this morning I feel, I think,

738
00:43:45,680 --> 00:43:49,840
Speaker 1: Good Morning America, and he was starting to talk about

739
00:43:50,200 --> 00:43:53,759
Speaker 1: how Jeff Sessions might be fire able. I mean, he

740
00:43:53,840 --> 00:43:55,759
Speaker 1: went last week and said something to this effect that

741
00:43:55,840 --> 00:43:58,000
Speaker 1: just basically kind of insinuating, oh, well, you know, the

742
00:43:58,200 --> 00:44:01,120
Speaker 1: attorney general actually works at the pleasure of the president.

743
00:44:01,160 --> 00:44:03,400
Speaker 1: It's not a lifetime appointment. Blah blah blah. So he

744
00:44:03,719 --> 00:44:06,480
Speaker 1: begins eating this a while back. But now like we're

745
00:44:06,520 --> 00:44:09,479
Speaker 1: hearing like full throated, like, well, maybe Jeff Sessions doesn't

746
00:44:09,520 --> 00:44:12,600
Speaker 1: have to be the attorney general the president has been

747
00:44:12,680 --> 00:44:16,160
Speaker 1: raising against his his attorney general. You noticed, yes, and

748
00:44:16,560 --> 00:44:19,160
Speaker 1: your your tune seems to have changed a bit on

749
00:44:19,320 --> 00:44:23,560
Speaker 1: Jeff Sessions. Why what happened between July and last week? Good?

750
00:44:23,640 --> 00:44:26,080
Speaker 1: Good question. When I was a big support of Jeff

751
00:44:26,160 --> 00:44:28,800
Speaker 1: being attorney general. He was close to the president. He

752
00:44:28,920 --> 00:44:31,440
Speaker 1: up the president when no one else did. He was

753
00:44:31,560 --> 00:44:35,160
Speaker 1: a highly qualified lawyer, a good senator, and I was

754
00:44:35,239 --> 00:44:37,840
Speaker 1: afraid that when he recused himself, the President was going

755
00:44:37,920 --> 00:44:40,480
Speaker 1: to strike out and fire the guy. He had to

756
00:44:40,560 --> 00:44:43,480
Speaker 1: recuse himself. Guys, because he was part of the campaign

757
00:44:43,600 --> 00:44:46,560
Speaker 1: is now being investigated. But we need an attorney general

758
00:44:46,640 --> 00:44:48,560
Speaker 1: that can work with the president, that can lead the

759
00:44:48,640 --> 00:44:52,439
Speaker 1: Department of Justice. This relationship is beyond repair, I think.

760
00:44:52,600 --> 00:44:55,840
Speaker 1: But Senator Graham, I mean, the only beef the President

761
00:44:55,960 --> 00:44:59,759
Speaker 1: seems to have against him is that he's not going

762
00:44:59,840 --> 00:45:04,200
Speaker 1: to get rid of the investigation. President finish the second part.

763
00:45:04,280 --> 00:45:06,839
Speaker 1: It's much deeper than that. Else, what are we missing, Well,

764
00:45:07,200 --> 00:45:09,239
Speaker 1: we won't say on this show, but it's a it's

765
00:45:09,280 --> 00:45:13,520
Speaker 1: a pretty deep breach. And here's what I'm suggesting that

766
00:45:13,880 --> 00:45:15,799
Speaker 1: he's not the only man in the country that can

767
00:45:15,880 --> 00:45:20,480
Speaker 1: be attorney general. He's a fine man. I'm not asking

768
00:45:20,600 --> 00:45:23,000
Speaker 1: him to be fired, but the relationship is not working.

769
00:45:23,160 --> 00:45:27,759
Speaker 1: To replace him. M please to replace him. Let me

770
00:45:27,960 --> 00:45:31,680
Speaker 1: have to replace him with somebody was highly qualified and

771
00:45:31,800 --> 00:45:34,640
Speaker 1: will commit to the Senate to allow Mueller to do

772
00:45:34,840 --> 00:45:38,000
Speaker 1: his job. So they're saying, get rid of him, but don't,

773
00:45:38,000 --> 00:45:39,600
Speaker 1: you know, don't get somebody who's just gonna crush the

774
00:45:39,640 --> 00:45:42,800
Speaker 1: mother probe someone who will protect it to But again

775
00:45:43,160 --> 00:45:45,680
Speaker 1: they're saying, what change between July when he was like

776
00:45:45,760 --> 00:45:48,160
Speaker 1: there will be holy hell to pay if he gets

777
00:45:48,200 --> 00:45:50,320
Speaker 1: rid of Jeff Sessions to now being like, well, you know,

778
00:45:50,480 --> 00:45:53,240
Speaker 1: we need somebody that the president can work with and trust.

779
00:45:53,480 --> 00:45:55,400
Speaker 1: And it's and that's why they're like, what do you

780
00:45:55,520 --> 00:45:58,759
Speaker 1: mean his biggest gripe is about this investigation and then

781
00:45:58,880 --> 00:46:01,719
Speaker 1: being like, well, there's stuff don't know about. That's why

782
00:46:01,760 --> 00:46:04,680
Speaker 1: I'm just pretty deep breach. Yeah, now is Lindsay Graham

783
00:46:05,360 --> 00:46:09,319
Speaker 1: if I told you what he did? I just can't

784
00:46:09,320 --> 00:46:11,680
Speaker 1: because the president is very secretive and good at keeping

785
00:46:11,760 --> 00:46:14,880
Speaker 1: secrets and and I don't know why said it seems

786
00:46:14,880 --> 00:46:18,200
Speaker 1: like he has a personal interest now in protecting the

787
00:46:18,280 --> 00:46:21,560
Speaker 1: president for whatever reason that it seems a bit odd.

788
00:46:22,120 --> 00:46:25,279
Speaker 1: So look out for any grumblings of a little a

789
00:46:25,400 --> 00:46:27,640
Speaker 1: g switch. I mean, couldn't it just be that the

790
00:46:28,239 --> 00:46:32,880
Speaker 1: Republican Party is fucked. Yeah, it could just be they

791
00:46:32,920 --> 00:46:35,439
Speaker 1: could just be like, Okay, whatever, if if it's gonna

792
00:46:35,480 --> 00:46:38,360
Speaker 1: go down like this, just try and figure out everything

793
00:46:38,400 --> 00:46:40,759
Speaker 1: we'll do. They're just scrambling for survive. It also just

794
00:46:40,920 --> 00:46:44,480
Speaker 1: it seems yeah, I don't know. Back then, back then

795
00:46:44,520 --> 00:46:48,000
Speaker 1: it wasn't as clear. So in July two seventeen, it

796
00:46:48,080 --> 00:46:52,120
Speaker 1: wasn't as clear that the investigation was going to find

797
00:46:52,160 --> 00:46:54,960
Speaker 1: all this ship that they were hoping wasn't actually there.

798
00:46:55,000 --> 00:46:56,640
Speaker 1: They were saying Michael Cohen was a good guy. But

799
00:46:57,280 --> 00:47:00,600
Speaker 1: and now that it seems like there's only one path

800
00:47:00,680 --> 00:47:03,640
Speaker 1: for the investigation to go down. The survival of the

801
00:47:03,800 --> 00:47:07,320
Speaker 1: Republican Party is at stake, and they're going to do

802
00:47:07,400 --> 00:47:10,279
Speaker 1: whatever they can to you know. I mean, at this point,

803
00:47:11,120 --> 00:47:13,520
Speaker 1: this has to suck their brand up so bad that

804
00:47:13,719 --> 00:47:15,880
Speaker 1: you feel like this should like they just gonna have

805
00:47:15,920 --> 00:47:18,400
Speaker 1: to figure out a new party after this. But we

806
00:47:18,520 --> 00:47:23,719
Speaker 1: all know that that won't The Pajama Party. Wow, I

807
00:47:23,800 --> 00:47:27,080
Speaker 1: am in is that a musical? Let's talk off? Pajama game?

808
00:47:27,719 --> 00:47:30,480
Speaker 1: Was that Pajama Jamie jam I don't know, see this

809
00:47:30,960 --> 00:47:36,440
Speaker 1: just a house party? Three? Pajama Jamie loftus there. You know.

810
00:47:36,560 --> 00:47:40,040
Speaker 1: The Pajama Game, Yeah, by Richard Bissell is a book

811
00:47:40,560 --> 00:47:44,280
Speaker 1: by George Abbott and Richard Bissell. Of course it's a book.

812
00:47:44,640 --> 00:47:47,399
Speaker 1: It's a book turned musical. Yep. I just remember because

813
00:47:47,440 --> 00:47:48,919
Speaker 1: I felt like it was a thing in my high

814
00:47:48,960 --> 00:47:51,040
Speaker 1: school that happened and I was like, this looks like

815
00:47:51,200 --> 00:47:54,160
Speaker 1: something I'm not interested in. I'm pretty sure most two

816
00:47:54,200 --> 00:47:57,279
Speaker 1: word combinations could could be said to be a book

817
00:47:57,719 --> 00:48:01,759
Speaker 1: or musical. Yeah, yeah, like musical the pen theory. Yep,

818
00:48:02,239 --> 00:48:04,960
Speaker 1: that actually sounds like a self help book. Yeah, alright,

819
00:48:05,040 --> 00:48:06,839
Speaker 1: we're gonna take a quick break. We'll be right back,

820
00:48:17,360 --> 00:48:23,440
Speaker 1: and we're back and big news. We're dirt bags like me.

821
00:48:24,440 --> 00:48:28,280
Speaker 1: Seven eleven has finally decided to launch its own delivery

822
00:48:28,360 --> 00:48:32,719
Speaker 1: app seven elevens. I really like their products. Most of

823
00:48:32,800 --> 00:48:38,440
Speaker 1: them smell like burnt garbage. No, like burnt bleach, burnt

824
00:48:38,440 --> 00:48:42,080
Speaker 1: bleach or whatever that if there's that's like yeah. But

825
00:48:42,280 --> 00:48:45,680
Speaker 1: right now I'm a little upset because this service is

826
00:48:45,760 --> 00:48:48,360
Speaker 1: only limited to people in Washington, d C, Dallas, or

827
00:48:48,440 --> 00:48:51,239
Speaker 1: New York City. So I'm getting on a plane right

828
00:48:51,280 --> 00:48:54,160
Speaker 1: now to Dallas so i can use the seven eleven app.

829
00:48:54,640 --> 00:48:57,719
Speaker 1: I thought Postmates would would do me in. But if

830
00:48:57,840 --> 00:49:01,480
Speaker 1: seven eleven just delivers things, that's a really because I

831
00:49:01,640 --> 00:49:06,279
Speaker 1: like a spicy bite. I'm not gonna lie spicy bit.

832
00:49:07,120 --> 00:49:09,239
Speaker 1: One time I lost my job and I went straight

833
00:49:09,280 --> 00:49:12,600
Speaker 1: to seven eleven Cope and I ate a gigantic spicy

834
00:49:12,680 --> 00:49:15,719
Speaker 1: bite with the shitty nacho cheese and the chili that

835
00:49:15,800 --> 00:49:19,520
Speaker 1: comes out that weird ass machine, and uh, I had

836
00:49:19,560 --> 00:49:21,520
Speaker 1: a I had a vision of the future. I don't

837
00:49:21,520 --> 00:49:23,920
Speaker 1: know if it was like a chemically induced hallucination, but

838
00:49:24,040 --> 00:49:26,640
Speaker 1: it was great. Listen reminds me a bit of how

839
00:49:26,800 --> 00:49:33,399
Speaker 1: I used to be a delivery driver for America's greatest restaurant, Hooters. Yeah,

840
00:49:36,640 --> 00:49:38,560
Speaker 1: I'm quite the same. They're not doing too hot right now.

841
00:49:38,600 --> 00:49:40,160
Speaker 1: Did you read that story? I did read that story

842
00:49:40,440 --> 00:49:44,560
Speaker 1: because our generation kind of sees how weird the idea

843
00:49:44,600 --> 00:49:49,560
Speaker 1: of a Hooters is. In general. It's really because, yeah,

844
00:49:49,640 --> 00:49:51,600
Speaker 1: I mean, the only way to get him his Daytona style. Man,

845
00:49:52,239 --> 00:49:54,120
Speaker 1: they used to not advertise that. I think that's really

846
00:49:54,160 --> 00:49:56,839
Speaker 1: the problem. I mean now they do, yeah, Daytona Style. Well,

847
00:49:56,880 --> 00:49:59,400
Speaker 1: the reason that Hooters isn't doing well is because I

848
00:49:59,520 --> 00:50:03,000
Speaker 1: no longer work there. But you know, did you like

849
00:50:03,120 --> 00:50:08,719
Speaker 1: Hooters food, not especially no fried pickles. I don't know

850
00:50:08,760 --> 00:50:10,480
Speaker 1: if I had them from Hooters. Do you like fried

851
00:50:10,520 --> 00:50:13,400
Speaker 1: pickles in general? That's the only thing I think. I'm like, oh,

852
00:50:13,480 --> 00:50:15,960
Speaker 1: they have fried pickles there, but I can't go in there.

853
00:50:16,040 --> 00:50:17,640
Speaker 1: Are just it's too far away from me to go

854
00:50:17,719 --> 00:50:20,399
Speaker 1: to a Hooters for fried Their wings are fine. Wings

855
00:50:20,440 --> 00:50:22,359
Speaker 1: are fine. We all know Wingstop is still the best

856
00:50:22,480 --> 00:50:25,680
Speaker 1: wing out there. Please holler at me Wingstop because I

857
00:50:26,000 --> 00:50:28,920
Speaker 1: can't stop eating their wings. There's something about it. It's

858
00:50:29,080 --> 00:50:31,120
Speaker 1: really need help. I really need help. And that. And

859
00:50:31,239 --> 00:50:34,560
Speaker 1: also seven leven, please stop selling spicy bites. My body's

860
00:50:35,160 --> 00:50:37,759
Speaker 1: a spicy bites. It's just the spicy hot dog. Oh

861
00:50:38,640 --> 00:50:41,600
Speaker 1: there's like the big bite and there's a spicy bite. Uh.

862
00:50:42,160 --> 00:50:44,719
Speaker 1: And yeah seven eleven. I mean, I think it's a

863
00:50:44,840 --> 00:50:47,960
Speaker 1: good thing if you need things in a pinch that

864
00:50:48,120 --> 00:50:50,759
Speaker 1: you can't normally get on Postmates or whatever. But seven

865
00:50:50,840 --> 00:50:56,480
Speaker 1: eleven get your condoms and your lighters and your Swisher

866
00:50:56,520 --> 00:50:59,719
Speaker 1: sweets and your Listerine strips and whatever you get there.

867
00:51:00,160 --> 00:51:02,200
Speaker 1: So I wanted to talk a little bit about how

868
00:51:02,520 --> 00:51:06,240
Speaker 1: American land is used. Uh, there's just a really cool

869
00:51:06,760 --> 00:51:12,360
Speaker 1: article in Bloomberg Bloomberg apparently has some pretty great online

870
00:51:12,760 --> 00:51:19,080
Speaker 1: article designers and articles like for their graphic user interface. Yes,

871
00:51:19,440 --> 00:51:21,160
Speaker 1: but it was it was just cool. It kind of

872
00:51:21,200 --> 00:51:24,400
Speaker 1: put things in perspective in a way that I hadn't

873
00:51:24,640 --> 00:51:28,040
Speaker 1: really understood the country. Like, for instance, I had no

874
00:51:28,160 --> 00:51:31,839
Speaker 1: idea that one third of the United States is used

875
00:51:31,920 --> 00:51:36,239
Speaker 1: for pasture, and when you take into account land used

876
00:51:36,280 --> 00:51:39,719
Speaker 1: to grow feed, it's actually forty one percent of the

877
00:51:39,760 --> 00:51:44,920
Speaker 1: country is devoted to raising cattle. Shit. Yeah, oh, between

878
00:51:45,320 --> 00:51:52,160
Speaker 1: pasture and growing feed and growing feet of our land, yes, man,

879
00:51:52,239 --> 00:51:53,879
Speaker 1: because I look at l A and it just looks

880
00:51:53,920 --> 00:51:55,920
Speaker 1: like concrete to me. So I don't know if that's

881
00:51:55,960 --> 00:51:58,759
Speaker 1: that holds up. So when like in terms of in

882
00:51:58,960 --> 00:52:02,919
Speaker 1: terms of our men toll landscape, you know, there's way

883
00:52:03,000 --> 00:52:06,040
Speaker 1: more people living in cities, but cities take up a

884
00:52:06,360 --> 00:52:10,360
Speaker 1: very tiny portion. It's definitely the fastest growing portion of

885
00:52:10,880 --> 00:52:15,800
Speaker 1: the United States. So forest land is a major category

886
00:52:16,040 --> 00:52:19,840
Speaker 1: that I don't know. I like, growing up in Ohio,

887
00:52:20,000 --> 00:52:24,279
Speaker 1: West Virginia, even New York, like Upstate New York, you

888
00:52:24,800 --> 00:52:30,160
Speaker 1: are constantly surrounded by woods, and that's something that I

889
00:52:30,200 --> 00:52:33,520
Speaker 1: don't know. I guess like in movies and stuff, you

890
00:52:33,600 --> 00:52:37,680
Speaker 1: don't really get that sense that that's what America is like.

891
00:52:38,360 --> 00:52:47,360
Speaker 1: But I don't know, or at least honestly that's not wrong. No,

892
00:52:47,520 --> 00:52:50,479
Speaker 1: that's how I get all of my visions of every

893
00:52:50,560 --> 00:52:54,320
Speaker 1: place that I've not been before. Egypt is the Egypt

894
00:52:54,480 --> 00:53:01,040
Speaker 1: from Michael Bay movies in my brain. Um, and it's crazy.

895
00:53:01,080 --> 00:53:03,520
Speaker 1: It's why when you think about like how that contributes

896
00:53:03,560 --> 00:53:07,440
Speaker 1: to global warming to like the red meat industry, that

897
00:53:07,920 --> 00:53:11,520
Speaker 1: just makes so much sense. Yeah, urban areas make up

898
00:53:11,640 --> 00:53:15,560
Speaker 1: three point six percent of the total size of continuous

899
00:53:15,719 --> 00:53:19,080
Speaker 1: United States. But yeah, so the prairie thing is just

900
00:53:19,280 --> 00:53:22,440
Speaker 1: a good illustration. I don't know. We've talked before on

901
00:53:22,520 --> 00:53:25,680
Speaker 1: the side about how dairy farmers are like secretly the

902
00:53:26,480 --> 00:53:30,759
Speaker 1: evil empire underneath the surface of America and there's a

903
00:53:30,800 --> 00:53:34,800
Speaker 1: reason they control a shipload of the land. Yeah, so

904
00:53:34,920 --> 00:53:36,880
Speaker 1: I don't know. Interesting article will link off to it

905
00:53:36,960 --> 00:53:41,920
Speaker 1: and footnotes. But also in this kind of a bummer story,

906
00:53:42,400 --> 00:53:46,279
Speaker 1: but fun is apparently bad for you. Uh No, So

907
00:53:46,520 --> 00:53:50,480
Speaker 1: an article came out that did one of these overarching

908
00:53:50,680 --> 00:53:54,480
Speaker 1: studies of all the other studies and like a statistical

909
00:53:54,520 --> 00:53:57,319
Speaker 1: analysis of I think it's a meta analysis what they

910
00:53:57,400 --> 00:54:01,960
Speaker 1: call it, of all the different alcohol studies on human

911
00:54:02,000 --> 00:54:06,400
Speaker 1: consumption of alcohol, and they basically put the kai bosh

912
00:54:06,480 --> 00:54:08,920
Speaker 1: on all these studies that are like two glasses of

913
00:54:09,000 --> 00:54:13,399
Speaker 1: red wine and night are better for survival and good

914
00:54:13,480 --> 00:54:16,440
Speaker 1: for your heart. They said that any benefits to the

915
00:54:16,520 --> 00:54:21,640
Speaker 1: heart are outweighed by cancer and ship damage liver damage.

916
00:54:22,040 --> 00:54:25,759
Speaker 1: So well it's big business too, you know. I think

917
00:54:26,400 --> 00:54:31,239
Speaker 1: that's pot two billion dollars. Yeah, you're not gonna put

918
00:54:31,280 --> 00:54:33,520
Speaker 1: that thing to bed, right, They're given people in money

919
00:54:33,520 --> 00:54:35,600
Speaker 1: to be like, hey, look out for big whiskey and

920
00:54:35,680 --> 00:54:38,600
Speaker 1: all that. But wait, so this study you're saying it

921
00:54:38,719 --> 00:54:42,080
Speaker 1: completely debunked all that ship are just saying while those

922
00:54:42,160 --> 00:54:45,239
Speaker 1: things may be true, it actually doesn't acknowledge that like

923
00:54:45,440 --> 00:54:48,960
Speaker 1: drinking does have any negative effect on your physical health. Yeah,

924
00:54:48,960 --> 00:54:51,719
Speaker 1: they're just saying, what when taking all of these different

925
00:54:51,760 --> 00:54:55,040
Speaker 1: studies into account, if the question is like should I

926
00:54:55,200 --> 00:54:58,680
Speaker 1: or shouldn't I take this drink? The net it's a

927
00:54:58,800 --> 00:55:03,279
Speaker 1: net negative on your health, got you? And that's their analysis,

928
00:55:03,400 --> 00:55:05,920
Speaker 1: like based on you know, looking at all the studies

929
00:55:06,000 --> 00:55:09,239
Speaker 1: that they could find that we're scientifically My grandma drank

930
00:55:09,280 --> 00:55:11,799
Speaker 1: beer every day and she did a d one years

931
00:55:11,800 --> 00:55:14,040
Speaker 1: old ship. You need to get in touch with these motherfucker's.

932
00:55:14,040 --> 00:55:16,640
Speaker 1: I need to get in touch with her. If somebody

933
00:55:16,760 --> 00:55:21,040
Speaker 1: John Edwards crossing over with John ow me Long Island Media. Yeah,

934
00:55:21,160 --> 00:55:24,800
Speaker 1: what's the secret? Um? Well, I just realized why my

935
00:55:25,239 --> 00:55:30,920
Speaker 1: vape pen might be broken. It because I'm vaping alcohol. No,

936
00:55:31,239 --> 00:55:38,040
Speaker 1: no dipping it out. It's cool to see. I'm done

937
00:55:38,120 --> 00:55:44,000
Speaker 1: using plastic straws. Caitlin, it's been a pleasure. Where can

938
00:55:44,080 --> 00:55:47,040
Speaker 1: people find you? Listen to you? Follow you? You can

939
00:55:47,239 --> 00:55:51,120
Speaker 1: follow me on Twitter and Instagram at Caitlin Durante, which

940
00:55:51,160 --> 00:55:56,600
Speaker 1: again anagrams to Latin dancer U t I for anybody

941
00:55:58,440 --> 00:56:03,480
Speaker 1: that just rearrange those right. You can listen to my

942
00:56:03,560 --> 00:56:06,480
Speaker 1: podcast with the Beachtel Cast right here on the hay Slits.

943
00:56:06,560 --> 00:56:10,040
Speaker 1: What's Up Network? Uh. We talked about the portrayal and

944
00:56:10,120 --> 00:56:12,840
Speaker 1: representation of women in film and how it's usually terrible,

945
00:56:13,600 --> 00:56:16,560
Speaker 1: and you can follow that at Bectel Cast on Twitter

946
00:56:16,600 --> 00:56:19,680
Speaker 1: and Instagram. What's into this episode? This week? We are

947
00:56:19,719 --> 00:56:23,319
Speaker 1: releasing Crazy Rich Asians. Yeah, next week will be ten

948
00:56:23,400 --> 00:56:26,080
Speaker 1: Things I Hate About You. A lot of good stuff

949
00:56:26,080 --> 00:56:29,440
Speaker 1: coming up, right, right? And is there a tweet that

950
00:56:29,480 --> 00:56:33,759
Speaker 1: you've been enjoying? Oh? Yeah, Well, speaking of the Bactel Cast,

951
00:56:33,880 --> 00:56:43,160
Speaker 1: my co host Jamie Sorry, amb but um, she just

952
00:56:43,640 --> 00:56:48,600
Speaker 1: tweeted I believe yesterday. Um fellas if your girl did

953
00:56:48,680 --> 00:56:51,040
Speaker 1: not turn into an eagle and fly out the window

954
00:56:51,600 --> 00:56:58,040
Speaker 1: mid coitus, she did not come miles Where can people

955
00:56:58,080 --> 00:56:59,960
Speaker 1: find you? Follow you? What's tweet you've been in? Joe?

956
00:57:00,640 --> 00:57:02,560
Speaker 1: What if they turn into another thing and it's not

957
00:57:02,719 --> 00:57:09,960
Speaker 1: an eagle? Okay, don't I don't make the rules. They

958
00:57:10,080 --> 00:57:14,239
Speaker 1: them's the rules. Oh yes, I'm at miles of gray

959
00:57:14,320 --> 00:57:17,440
Speaker 1: on Twitter and Instagram. A tweet I was really liking

960
00:57:17,600 --> 00:57:21,360
Speaker 1: is from at booze Monkey. Rachel is the display name

961
00:57:21,600 --> 00:57:24,520
Speaker 1: says people who order fahdas and restaurants just want attention,

962
00:57:25,440 --> 00:57:28,440
Speaker 1: and isn't that the truth? Ruth, Because you hear that

963
00:57:28,680 --> 00:57:32,040
Speaker 1: sizzling platter, You're like, oh ship, yeah, where's that going?

964
00:57:33,120 --> 00:57:35,280
Speaker 1: And I'll never order it though it seems like too

965
00:57:35,400 --> 00:57:38,680
Speaker 1: much work because you're assembling. Yeah, I guess I'm so

966
00:57:38,840 --> 00:57:41,840
Speaker 1: lazy that even to put the loose pieces of meat

967
00:57:41,960 --> 00:57:44,360
Speaker 1: and bell pepper onion onto a tortilla and then eat

968
00:57:44,400 --> 00:57:47,080
Speaker 1: it feels like a lot of work. It's all I guess,

969
00:57:47,120 --> 00:57:51,680
Speaker 1: It's all contextual. Sometimes assembled for you. I'm guessing, well, well, no,

970
00:57:52,040 --> 00:57:54,280
Speaker 1: it depends if I go to the one in North

971
00:57:54,320 --> 00:57:56,440
Speaker 1: Hollywood where they know me. I walk in the door

972
00:57:56,600 --> 00:57:58,640
Speaker 1: rings and he goes one second and he just pulls

973
00:57:58,680 --> 00:58:01,760
Speaker 1: out my spicy bite with the cheese and Chilian. What

974
00:58:01,880 --> 00:58:07,800
Speaker 1: do spicy bites sound like? I don't know. I just

975
00:58:07,880 --> 00:58:10,400
Speaker 1: walked through the seven eleven like I'm having a spicy bite.

976
00:58:10,480 --> 00:58:13,720
Speaker 1: Y'all look at me, but yes, shout out to all

977
00:58:13,760 --> 00:58:16,720
Speaker 1: the fahita eaters out there. Fahitas are a great example

978
00:58:16,800 --> 00:58:21,520
Speaker 1: of American consumerist innovation because they were just like, how

979
00:58:21,560 --> 00:58:23,560
Speaker 1: the fun do we sell more fahitas? And they were like,

980
00:58:23,600 --> 00:58:26,720
Speaker 1: oh what if we made them sound cool? They're screaming

981
00:58:26,960 --> 00:58:29,960
Speaker 1: through the restaurant, And that ship worked on me. I

982
00:58:30,120 --> 00:58:34,640
Speaker 1: used to always order fa uh used to when I

983
00:58:34,760 --> 00:58:36,880
Speaker 1: was like younger like, and then I fucking grew up

984
00:58:38,080 --> 00:58:42,560
Speaker 1: and then I was like, my food is talking now.

985
00:58:43,000 --> 00:58:50,040
Speaker 1: So wait, Jack hera a heater hand reader reader. She

986
00:58:50,040 --> 00:58:53,680
Speaker 1: should not the best in bids for nothing. Guys, you

987
00:58:53,720 --> 00:58:56,800
Speaker 1: can follow me on Twitter at Jack Underscore O'Brien. A

988
00:58:56,880 --> 00:59:01,320
Speaker 1: couple of tweets for you. Minerva Zimmerman tweeted at Grumpy

989
00:59:01,400 --> 00:59:04,320
Speaker 1: Marshan tweeted, you know why everything this isn't a joke.

990
00:59:04,400 --> 00:59:06,400
Speaker 1: This is just a good point. You know why I

991
00:59:06,480 --> 00:59:09,400
Speaker 1: quote everything tastes like chicken. It isn't everything. It's just

992
00:59:09,600 --> 00:59:12,880
Speaker 1: all the animals that have dinosaurs as ancestors. Technically they

993
00:59:12,920 --> 00:59:16,360
Speaker 1: all taste like dinosaur. Keep that in mind. Hey, where

994
00:59:16,400 --> 00:59:19,040
Speaker 1: did you find that tweet? What do you mean it

995
00:59:19,200 --> 00:59:28,280
Speaker 1: was mine for me today? Was it really accept? I

996
00:59:30,800 --> 00:59:38,800
Speaker 1: keep that in from Miles of Gray? Uh? Alright? Second

997
00:59:38,840 --> 00:59:44,080
Speaker 1: tweet from the ditch Pony at Molly seven and tweeted,

998
00:59:44,680 --> 00:59:47,800
Speaker 1: so what's deal with the pubes? We've all been shaving

999
00:59:47,840 --> 00:59:50,120
Speaker 1: off and saving up since middle school. I don't know

1000
00:59:50,200 --> 00:59:53,320
Speaker 1: about y'alls, but my pub barrel is nearly full. Wondering

1001
00:59:53,360 --> 01:00:00,200
Speaker 1: what the plan is? Man? So that was something old

1002
01:00:00,280 --> 01:00:03,439
Speaker 1: and something new. Yeah, the plan is get barrel number

1003
01:00:03,480 --> 01:00:07,120
Speaker 1: two out. Yeah. Yeah. Wow, sorry for totally not listening

1004
01:00:07,200 --> 01:00:14,360
Speaker 1: to It's amazing. I'm always because I'm always scrambling desperately. Wow,

1005
01:00:15,000 --> 01:00:17,520
Speaker 1: that's amazing your homework, Jack. We need to stop spending

1006
01:00:17,600 --> 01:00:20,280
Speaker 1: time together because out of all of Twitter, the millions

1007
01:00:20,320 --> 01:00:22,440
Speaker 1: of things that were tweeted over the last couple of days, well,

1008
01:00:22,480 --> 01:00:24,440
Speaker 1: you know, why because I think before I even started

1009
01:00:24,480 --> 01:00:26,800
Speaker 1: talking about it, I gave a long winded description of

1010
01:00:26,840 --> 01:00:28,880
Speaker 1: how you had a half a fried chicken and then

1011
01:00:28,960 --> 01:00:30,600
Speaker 1: went into that and you probably tuned that out because

1012
01:00:30,640 --> 01:00:32,320
Speaker 1: that's all I was talking about when I got an office.

1013
01:00:32,400 --> 01:00:34,760
Speaker 1: That's true, I was like a tree. Look, if you're

1014
01:00:34,760 --> 01:00:37,600
Speaker 1: looking for our tweets, look no further than at Latin

1015
01:00:37,720 --> 01:00:41,920
Speaker 1: dancer U T. I scrambled up, Man, I want that

1016
01:00:42,000 --> 01:00:44,440
Speaker 1: has to be at it's not that handle. Yeah, I'm

1017
01:00:44,440 --> 01:00:47,880
Speaker 1: getting right now. You can follow us on Twitter at

1018
01:00:48,000 --> 01:00:50,600
Speaker 1: Daily's that guys. We're at the Daily's like guys on Instagram.

1019
01:00:50,640 --> 01:00:52,840
Speaker 1: We have a Facebook campage on the website Dailies that

1020
01:00:52,880 --> 01:00:54,680
Speaker 1: guys dot com or we post our episodes in our

1021
01:00:54,680 --> 01:00:57,440
Speaker 1: foot were link off to the information that we talked

1022
01:00:57,480 --> 01:00:59,760
Speaker 1: about in today's episode. The footnotes are also in the

1023
01:01:00,000 --> 01:01:02,440
Speaker 1: formation about the episode. In our footnotes, we all for

1024
01:01:02,520 --> 01:01:05,480
Speaker 1: link up to the song that we ride out on. Uh,

1025
01:01:05,680 --> 01:01:09,280
Speaker 1: you know, let's do something just purely because of the

1026
01:01:09,400 --> 01:01:11,640
Speaker 1: artist name. It's not often that I look at an

1027
01:01:11,720 --> 01:01:14,400
Speaker 1: artist's name and I get a good chop. So this

1028
01:01:14,800 --> 01:01:17,880
Speaker 1: is a track called John Cage from the artist Ross

1029
01:01:18,000 --> 01:01:21,880
Speaker 1: from Friends. That is this artist's name is Ross from Friends.

1030
01:01:22,080 --> 01:01:24,240
Speaker 1: It's more of a you know, like electronic kind of

1031
01:01:24,400 --> 01:01:27,400
Speaker 1: dance track. But yes, you know they've got a little

1032
01:01:27,560 --> 01:01:29,840
Speaker 1: little beat to it. And again it's I guess you

1033
01:01:29,920 --> 01:01:34,160
Speaker 1: can have like mad pretentious song named Winer. Artist's name

1034
01:01:34,600 --> 01:01:38,080
Speaker 1: is Ross from Friend and not even wants friends. But

1035
01:01:38,160 --> 01:01:41,440
Speaker 1: I just know that Ross from Friends, Ross Geller is

1036
01:01:41,520 --> 01:01:43,680
Speaker 1: his name. Maybe John Cage is a reference to the

1037
01:01:43,760 --> 01:01:48,440
Speaker 1: Mortal Kombat character and not the Johnny Cage. Yeah, I

1038
01:01:48,520 --> 01:01:51,800
Speaker 1: think Johnny Cage is a reference to John Cage. I

1039
01:01:51,840 --> 01:01:53,760
Speaker 1: don't know. See, it's hard to know. It's hard to

1040
01:01:53,840 --> 01:01:57,720
Speaker 1: know who knows. All right, we are going to ride

1041
01:01:57,760 --> 01:02:00,320
Speaker 1: out on that. We will be back tomorrow because it

1042
01:02:00,400 --> 01:02:07,680
Speaker 1: is a daily podcast. We're talking about them Huck or

1043
01:02:10,560 --> 01:03:16,360
Speaker 1: rock or h m m m m h le with

1044
01:03:16,920 --> 01:03:23,080
Speaker 1: sometimes that you are able to check sometimes step through

1045
01:03:23,560 --> 01:03:26,800
Speaker 1: how he will go through with the day. Sometimes there

1046
01:03:27,160 --> 01:03:34,360
Speaker 1: you are, he will go to check sometime when you

1047
01:03:34,440 --> 01:03:39,680
Speaker 1: pa some copings that to you all p chee. Sometimes

1048
01:03:40,360 --> 01:03:44,760
Speaker 1: step through hell to w some copings that to you

1049
01:03:45,200 --> 01:04:12,720
Speaker 1: all people check sometimes m h spear range like your page.

1050
01:04:26,120 --> 01:04:29,000
Speaker 1: He will go to you with you sometimes at you

1051
01:04:29,400 --> 01:04:35,480
Speaker 1: you are parkable EFFERTI sometimes step through or he will

1052
01:04:35,560 --> 01:04:38,120
Speaker 1: go to you with you nay. Sometimes at you know

1053
01:04:38,280 --> 01:04:45,760
Speaker 1: you all Parka will do EFFERTI. Sometimes step with day,

1054
01:04:45,800 --> 01:05:03,160
Speaker 1: sometimes at you all parable ifty, sometimes step through hum problems,

1055
01:05:03,560 --> 01:05:10,840
Speaker 1: some tupted the bot, sometimes speed or film