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Speaker 1: Hello the Internet, and welcome to season one or six,

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Speaker 1: episode five of Joe Dalley's ech Guys yea a production

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

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Speaker 1: take a deep dive into America's share consciousness and say,

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Speaker 1: officially off the top, hey, fuck Coke Industries as in

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Speaker 1: The Cooke Brothers and Funk Fox News. It's Friday, November one,

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Speaker 1: two nineteen. All Hello's day. My name is Jack O'Brien. Okay,

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Speaker 1: put a spell on you, be called zom Jack O'Brien.

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Speaker 1: My a k was courtesy of Roming King and I'm

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Speaker 1: thrilled to be joined as always buy my co host

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Speaker 1: Mr Miles brag from the window to the wow to

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Speaker 1: the bucket with a ballast fall, the house stood up,

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Speaker 1: bick how in peace o man oh and piece no

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Speaker 1: Man showed it from so fresh and pleat. Anyway, there's

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Speaker 1: the one part we says about being to the club,

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Speaker 1: about bit a living time. Now, I cannot play with

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Speaker 1: your penny line? How do you play with your panty lines?

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Speaker 1: Play with your pant line? I think it makes a

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Speaker 1: lot of sense. It's creeping up in your butt. Can

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Speaker 1: I put out help your panties? This game he's suggesting

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Speaker 1: he wants to make the problem worse. Yeah, he doesn't

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Speaker 1: want to. It's really innocent. He just walks his fingers

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Speaker 1: along its. Yeah, I'm willing to like, you know, wholesome

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Speaker 1: kind of ship at the club when I'm proping women

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Speaker 1: cannot play with your penny line for my finger dancer. Ultimately,

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Speaker 1: that song is for Miles. Yes, ultimately. Who is speaking

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Speaker 1: right now? Oh yep, that is the guest in her

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Speaker 1: third seat, Uh, one of the fairy faces on Mountains

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Speaker 1: Site more herself. She is, uh, the hilarious and talented

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Speaker 1: little am Jamie Loft. Okay, don't be no, I've been

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Speaker 1: to again. I'm still I'm still jam from this. That

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Speaker 1: got a dog. That's a little all right, But that's

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Speaker 1: okay because I know that I'm loft us. There it is, there,

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Speaker 1: it is. I always missed the fucking drop of my

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Speaker 1: own damn things. But you do that intention like people

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Speaker 1: don't know. That's part of the home music. Oh yeah,

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Speaker 1: it's four D chests and I'm playing. Yeah. Absolutely, there's

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Speaker 1: just light shooting out of your eyes. Jamie. It's so

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Speaker 1: great to have you back. How you've been I've been Okay,

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Speaker 1: I'm good. Yeah. Yeah, I'm unemployed again. My first day

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Speaker 1: I'm back. How does it feel great? Fun? Employed? My name?

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Speaker 1: Is that normal? But you kind of you're an early riser,

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Speaker 1: aren't you. Yeah, that's what I remember about you. Thank you.

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Speaker 1: It's nine o'clock. Does that feel good to work up

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Speaker 1: at nine nine'clock? Feels good? It feels warm? Yeah, feels

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Speaker 1: the warm feel good? Woke up? Made some oatmeal? Okay, yeah,

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Speaker 1: thank you? Yeah, thank you. I got a couple of

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Speaker 1: I keep like emergency. Actually, let's be real, did you

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Speaker 1: use milk or water? Use water? Wow? Okay, so you're

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Speaker 1: still humble. Yeah, and I know you've left. I'm like,

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Speaker 1: she's using milk with her oatmeal. I would never just

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Speaker 1: have milk in the house. That wasn't milk is useful?

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Speaker 1: Like you know, I just have an emergency. You only

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Speaker 1: keep spoiled milk in your house? Yeah, tot unwanted guests?

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Speaker 1: Can I for you a glass of milk? Do you?

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Speaker 1: What do you use the quicker instant packets? No, it's

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Speaker 1: like what flavor? Apple cinnamon? Okay, that's the best flavor.

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Speaker 1: I'm a pieces and cream. It's too sweet for me.

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Speaker 1: That's why I like is definitely the one that masks

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Speaker 1: the fact that you're eating oatmeal the most. That's what

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Speaker 1: I think, because it's just basically cream is not always there.

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Speaker 1: Though maybe it's just as being out of the box

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Speaker 1: before it. But look at me. Well, I'm just saying

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Speaker 1: apple's apple sinnamon is always in the variety you're saying

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Speaker 1: in the office, No, just any I buy a lot

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Speaker 1: of oat mail mouse individually packed. But as if you

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Speaker 1: were trying to imply I was stealing at your house

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Speaker 1: and I've never even been there. No, I wasn't implying anything.

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Speaker 1: I was saying that it's it's more of a it's

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Speaker 1: harder to find whatever. Dude, still waiting for that invite though, Okay, alright, cool,

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Speaker 1: will make sure that we have will never go to

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Speaker 1: each other's house. Anything's going well here? Yeah, who do

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Speaker 1: you think would win to fight me or jack Um? Well,

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Speaker 1: I guess it depends. First, check out my fucking bice.

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Speaker 1: I'm Carl Anthony Towns your Joel and beat We'll see who.

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Speaker 1: Anna comes in and Ben Simmons, Ben Simons. Ben Simons

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Speaker 1: jumps in and just goes for the juggular, just starts

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Speaker 1: choking them out. It looked like drunk Pacific rim like

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Speaker 1: the two dudes fighting, they're so big and uncoordinated. Anyways, Jamie, Yes,

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

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Speaker 1: in a moment. But first we're gonna tell our listeners

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Speaker 1: a few of the things we're talking about today. It

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Speaker 1: is everything that's old is new again because we have

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Speaker 1: an update about Paris Hilton and her collection of suits.

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Speaker 1: We're gonna talk about Kurt Cobain's sweater from the MTV

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Speaker 1: Unplugged show. We're going to check in with the impeachment process.

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Speaker 1: I'm talking about in this green New Drop, New Drop.

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Speaker 1: Who's whose vocals are those? I don't know. It might

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Speaker 1: have been Slim from one twelve or Q or Mike

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Speaker 1: or amazing that Dan got Slim from one twelve to

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Speaker 1: Drop from the show apparently knows him. Yeah, we're gonna

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Speaker 1: talk about um some more witnesses the passage of the resolution,

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Speaker 1: the passage of the Revolution Resolution. Trump is now trying

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Speaker 1: to bribe GOP senators. Uh, there's been a tonal shift

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Speaker 1: in how GOP senators are talking about the story that

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Speaker 1: the Hill recently observed. Uh, we are going to check

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Speaker 1: him with the whistleblower because apparently right wing media, just

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Speaker 1: a dropful day. Uh, right wing media has exposed who

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Speaker 1: he is. We won't say his name, but it is

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Speaker 1: a hymn, and uh, we'll just make you guess. The

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Speaker 1: president had a kind of brief moment of clarity where

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Speaker 1: he gave some insight to his relationship. Yeah, his wife

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Speaker 1: was very interesting. This being All Hallows Day, all All

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Speaker 1: Saints Day, the day that we all look forward to.

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Speaker 1: Some people like to celebrate All Saints Day Eve or

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Speaker 1: whatever they call it here at the Daily Guess, we're

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Speaker 1: all about the Saints. But we will look back at uh,

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Speaker 1: we will look back at some of the all hollow

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Speaker 1: hollows Eve costumes that different people were wearing, the most popular, Uh,

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Speaker 1: the celebrity costumes that really hit it out of the park. Um.

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Speaker 1: I don't know why I'm making fun of my own show. Uh.

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Speaker 1: And we're gonna look at Twitter because look at it.

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Speaker 1: Just check it out. It makes me feel good to

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Speaker 1: look at Twitter and all social media platforms. But the

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Speaker 1: fact that they have decided not to accept political ads,

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Speaker 1: which is is kind of cool. Hey, that's pretty cool, man.

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Speaker 1: But Jamie, first, we like to ask our guests. What

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

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Speaker 1: you are? Titanic Mexico? Oh where they shot it? I

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Speaker 1: did you know that? Because my mom, she's a film critic,

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Speaker 1: she went, she did a set visit, I remember at

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Speaker 1: the time, and she came back. She's like James Cameroom,

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Speaker 1: he's making a Titanic movie and he's really cool set.

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Speaker 1: She talks like keption. But I remember seeing the photo

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Speaker 1: like why Mexico, and I didn't realize they just had

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Speaker 1: that like little bay that they shot James Cameron. James

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Speaker 1: Cameron was asking himself why Mexico after a while because

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Speaker 1: there was a hurricane tore the roof off of where

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Speaker 1: one of the sound stages that they guys know all

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Speaker 1: this these facts about the production of Titanic, you know,

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Speaker 1: totally passive for me, and my uh guilty pleasure is

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Speaker 1: sadly movie reviews. I just like read every movie review

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Speaker 1: and like behind the scenes, like like that's what I

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Speaker 1: did growing up like you. It's odd, Yeah, I realized

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Speaker 1: for you, Titanic is so important that somehow I didn't

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Speaker 1: know these old guys like yeah, Mexico about the weather

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Speaker 1: from both you're about the very very Are you thinking

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Speaker 1: about visiting the spot where it all happened? No, I

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Speaker 1: was so, I've I've been uh working on a show

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Speaker 1: for the past month or so, and I was writing

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Speaker 1: a lot of Billy Zane specific jokes that were then,

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Speaker 1: for a number of reasons, brought back to me because

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Speaker 1: they were not maybe not historically accurate enough about the

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Speaker 1: very specific production of Titanic. I got some notes from

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Speaker 1: the Zane camp that we're like, well, you know, this

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Speaker 1: joke can't be said because actually we were filming in

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Speaker 1: Mexico and so there if there were any ghosts haunting

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Speaker 1: the set of Titanic, they be ghosts from people who

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Speaker 1: were in Mexico or Mexican themselves. So we actually need

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Speaker 1: to rewrite on this because you're like idiots, nobody knows

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Speaker 1: that it was shot in Mexico, and then we don't

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Speaker 1: both close to me right away that night of the

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Speaker 1: show and I'm like, I'm really disappointed in Jamie. Jamie Mexico.

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Speaker 1: Where was the joke originally? Where did you think it was? Well,

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Speaker 1: I was writing it, okay, maybe revealing too much just

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Speaker 1: the location where I just will keep it simple without

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Speaker 1: revealing the humor of it. The no. I mean, it's

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Speaker 1: so I was writing it as if they were actually

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Speaker 1: like goes from the actual Titanic. That was I was

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Speaker 1: thinking more movie centric. I wasn't thinking about the extending

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Speaker 1: universe of the production of it. But then it was

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Speaker 1: they were like, well, think about put yourself in insane

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Speaker 1: ship goes what he has been seen. I think he's

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Speaker 1: going to be able to believe this line if right,

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Speaker 1: well he knows, will he come to your show? What?

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Speaker 1: Well He's like, yeah, yeah, yeah, sorry, guys, We're all right,

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Speaker 1: We're back. We had to cut a little bit because

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Speaker 1: Jamie got too deep into her n D a very

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Speaker 1: very compelling stuff that we just learned. There's a picture

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Speaker 1: of Billy Zane on the rat party cake. Okay, okay,

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Speaker 1: that's Have you ever met anybody who didn't know that

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Speaker 1: Titanic was a real boat until the movie, or like

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Speaker 1: thought it was just a movie? Yes? Yeah, which is

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Speaker 1: I want to I want to live? I was like,

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Speaker 1: wait a second. I love I love when people don't

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Speaker 1: because it's like, I mean, you can't be like that

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Speaker 1: mad because the Titanic, like it's a big thing, but

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Speaker 1: it's not like you know, I feel like you don't

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Speaker 1: lose your perspective of the entire world by just never

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Speaker 1: having He's like, you're not ignorant, it is, that's just

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Speaker 1: a weird knowledge gap. Yeah, that was a joke in

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Speaker 1: my family about my my mom's mom was born two

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Speaker 1: days before the Titanic sank as old as the Titanic.

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Speaker 1: Like that, I went to I saw I saw an

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Speaker 1: afternoon screening of Judy a couple of weeks ago. There

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Speaker 1: was someone in the crowd. It was like an older crowd.

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Speaker 1: It was like noon on a Sunday, and there was

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Speaker 1: someone in the crowd who didn't know that Judy Garland

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Speaker 1: died or like died young, because there's there is not

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Speaker 1: a great movie, but I hope she's okay. Well at

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Speaker 1: the end, you know, like at the end of like

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Speaker 1: a biopic, it says like, you know, two weeks later,

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Speaker 1: Judy Garland died at the age of forty seven, and

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Speaker 1: someone in the audience was like, oh, like they were

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Speaker 1: so shocked. I was really enjoying the film, and they're like,

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Speaker 1: I thought she was going to pull through. I was like,

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Speaker 1: how would you think that? But they were just really

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Speaker 1: I mean, they were visibly like optimism and I mean

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Speaker 1: to that point, James Cameron's Titanic does not include like

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Speaker 1: a part at the end where it's like the that

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Speaker 1: really happened? What you just saw or anything like. You

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Speaker 1: got to remind us totally everything except the placement of

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Speaker 1: the stars and that dude pinging off the propeller. Jamie,

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Speaker 1: what is something you think is underrated? Underrated? Oh, my

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Speaker 1: boyfriend's aunt's sewing account on Instagram. Okay, so it's a

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Speaker 1: great account. It's my so not to brag, but my

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Speaker 1: boyfriend has has an aunt and I know and she

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Speaker 1: lives in the Boston metropolitan area. She is oh so

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Speaker 1: so here. So she's a great she's I don't know,

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Speaker 1: she's fascinating to me. I've only met her one time,

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Speaker 1: but she's maybe the top interactor with my alt right

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Speaker 1: dog's Instagram account. She leaves him really scathing messages on

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Speaker 1: all of his posts. But she's a very so she's

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Speaker 1: if you want to follow her and her very cool work.

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Speaker 1: She's a very talented Uh quilter quilter. Yeah, she's a

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Speaker 1: quilter and I got interested in quilty this year, so

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Speaker 1: I was very excited about it. That's pretty cool. She's

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Speaker 1: in a guild. She's at Snippy Scissors, And I think,

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Speaker 1: you know, people really have to know what's going on

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Speaker 1: with with Snippy because she's she's both very talented and

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Speaker 1: very funny and us good tips too if you're looking

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Speaker 1: for she gives good tipses. She gives good snips. I'll

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Speaker 1: tell you truly does snips. Uh. And then every time

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Speaker 1: Sunny you know, posts something, she really really puts him

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Speaker 1: in his place. Ah, and she often will call him pathetic.

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Speaker 1: So she's just like a really funny has a comment

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Speaker 1: underneath a photo. Yeah. She also staged She's met Sunny

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Speaker 1: once and she staged a picture of him with a

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Speaker 1: bunch of empty pill bottles looking like he just overdoes.

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Speaker 1: So she's got a very she's got her gallows really funny.

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Speaker 1: You gotta check out Snippy was one of her quilts

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Speaker 1: in a tree? Is that just like I was one

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Speaker 1: of her QUI that's part of that's part of the

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Speaker 1: beauty of Snippy. You like, is that an etty trend

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Speaker 1: where you like so something and then just like throw

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Speaker 1: it in a tree. Wouldn't be surprised? Yeah, I mean

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Speaker 1: that makes sense to me. That seems like a way

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Speaker 1: to display her quilthes are very complicated. I don't remember

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Speaker 1: exactly what her day job is, but she like works

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Speaker 1: for like. She has like a pretty she like designs

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Speaker 1: military wear like she has like a lot. She has

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Speaker 1: a lot of talents. She contains multitudes. I think she's

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Speaker 1: so cool. And you gotta check out those snips. What

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Speaker 1: is something you think is overrated? Dressing your dog up

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Speaker 1: like a knife? What kind of sick person would do that?

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Speaker 1: It was too hard? It was it was me. I

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Speaker 1: I overestimated my own abilities to make a dog a knife,

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Speaker 1: to make a dog look like a knife. No one

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Speaker 1: knew he was supposed to be a knife. He was

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Speaker 1: very uncomfortable in the knife costume. I love those Instagram

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Speaker 1: stories following that saga and then like the people at

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Speaker 1: the dog Halloween costume with the dog Parker like and

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Speaker 1: he's a knife, he's a nice Wow there, No one

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Speaker 1: thought it was funny, at least of all Sonny the

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Speaker 1: Dog here Snippy Snippy scissors. In fact, commented on his

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Speaker 1: his picture, I said, you couldn't find a professional out

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Speaker 1: there to fashion a proper knife costume. Pathetic. So there's

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Speaker 1: some I know snippy. She was getting those those scissors

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Speaker 1: be careful. There is there a character that is a

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Speaker 1: pair of scissors that is like mean sentience. I don't know.

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Speaker 1: I don't know, is there I should ask her, No,

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Speaker 1: that's Clippy, not Snippy. No, I'm just thinking of I

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Speaker 1: don't know, but I tried to make Sony look like Clippy,

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Speaker 1: like from Microsoft word. Yeah, okay's making sure, just giving

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Speaker 1: a shout out like a Clippy who was before Clippy?

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Speaker 1: I think the Wizard there was a Wizard like installation

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Speaker 1: wizard or whatever it was, like I do it with

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Speaker 1: a white beard and like a wizard cap. Yeah that's

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Speaker 1: post Clippy. I think so like post the post is

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Speaker 1: Wizard post or pre Clippy. This is the real news.

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Speaker 1: But yeah, I wouldn't recommend the knife cost of If

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Speaker 1: anyone has any ideas on how, you know, maybe I

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Speaker 1: could improve for next year. But we entered him in

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Speaker 1: a costume contest and it really couldn't have gone worse.

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Speaker 1: What was the winning taped a real knife to his back, right,

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Speaker 1: we should I should have just taped knives to Sunday

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Speaker 1: shreds literally shreds the competition, or just get like a

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Speaker 1: like a cardboard harness and you just glew a bunch

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Speaker 1: of prop knives on it, so it's not dangerous, but

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Speaker 1: it's like this dog is just a bunch of knives.

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Speaker 1: It's more abstract. Ye, But yeah, I think that the

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Speaker 1: winning one. Honestly, I didn't stay the whole time because

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Speaker 1: Sunny fucking humiliated himself. It was really it was it

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Speaker 1: was pathetic. They called him on on stage and he

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Speaker 1: walked out like like you know, like yeah, when you

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Speaker 1: bail in the middle of the bit and he's like,

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Speaker 1: I don't really know what this is either. Guy's sorry,

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Speaker 1: and you're like, what the funk I put? You sold

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Speaker 1: me out? I've spent seventeen dollars on this ship and

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Speaker 1: this is what you do? How did you try? Keene

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Speaker 1: described to people how you tried to, uh like pull

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Speaker 1: off the I bought him a dog sweatshirt that I

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Speaker 1: then sewed silver fabric over for the knife base, for

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Speaker 1: the handle, for the just just for like the yeah,

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Speaker 1: for the for the blake. He's a brown dog, so

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Speaker 1: his ass is kind of a handhad, right, So you

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Speaker 1: got the handle just by having him, and then you

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Speaker 1: put the silver jacket on and then we taped like

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Speaker 1: we made a little hat, a pointy little hat. It

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Speaker 1: looked kind of good. I thought it looked like, ah,

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Speaker 1: is that you Yeah, that's trying to I would be like,

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Speaker 1: I think that dog got stuck in a piece of

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Speaker 1: ventilation or something. Yeah, everyone was like, oh, is he

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Speaker 1: a dust buster? I was like, oh, fuck you guys,

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Speaker 1: they're waiting. He's a knife. He's a fucking knife. And

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Speaker 1: he was he was embarrassed. I think a dog dresses

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Speaker 1: Guy Fieri or some pandering bullshit one. I don't care. Yeah,

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Speaker 1: I've noticed like the funniest people I know oftentimes don't

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Speaker 1: successfully execute Halloween costumes because like Halloween costumes are like

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Speaker 1: very like I feel like the successful ones are oftentimes

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Speaker 1: like very basic, and it's just like, I don't know,

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Speaker 1: you just need something that's almost broad and like a

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Speaker 1: lot of really funny people I've been hearing stories from

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Speaker 1: who go more obscure. I always go too high concept

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Speaker 1: for how and then I can't execute it. Don't make

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Speaker 1: your dog and knife just you know what, there's nice

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Speaker 1: costumes at Petco. You could just it's fine Sophie, uh,

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Speaker 1: Sophie's dog. Our office mascot Anderson was a tutsie roll

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Speaker 1: and it was just so very easy aces a tacos

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Speaker 1: A taco was very cute. We're going to actually have

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Speaker 1: our Halloween costume experts superducer on ajsan On a little

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Speaker 1: later on to tell us the Digest what happened yesterday,

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Speaker 1: what went down in the costume world. But we also

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Speaker 1: like to task our guest Jamie, what is a myth?

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Speaker 1: Oh uh, something I've been thinking about a lot this

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Speaker 1: week or I didn't mean to think about it a

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Speaker 1: lot but then ended up doing so. Was I was

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Speaker 1: thinking about the this is and this is like if

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Speaker 1: this bugs people, it's like a little bit about eating disorders.

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Speaker 1: But I was thinking about how like I have had

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Speaker 1: thought about the same like throwaway joke that I saw

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Speaker 1: on Family Guy when I was thirteen, like literally maybe

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Speaker 1: several times a week for my entire life since then,

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Speaker 1: and how it's like kind of informed, I don't know,

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Speaker 1: like it was a joke that basically is like Peter

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Speaker 1: Griffin some stupid fucking cutaway joke where he's like, if

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Speaker 1: a woman weighs over this amount, like I I don't

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Speaker 1: want to have sex with her, or you know, it

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Speaker 1: was like a stupid not jokefying quality of right with

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Speaker 1: this like fucking sethic Arling cartoon. But anyways, like it's

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Speaker 1: very stupid, but I think about it all the time,

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Speaker 1: and it's like that number that he says, he's like

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Speaker 1: stuck in my head for like over a decade, and

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Speaker 1: just I was thinking about that, so I just like

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Speaker 1: tweeted it out just as kind of as a joke,

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Speaker 1: but it's true, and then all these um, so I

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Speaker 1: guess my myth is there's no such thing as a

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Speaker 1: full throwaway joke, because it's all there's always going to

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Speaker 1: be someone that it hits a little different, And I

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Speaker 1: don't really know, like I don't have a proposed solution.

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Speaker 1: I think it's just like really frustrating and unfortunate and

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Speaker 1: like has you know, a lot to do with just

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Speaker 1: playing too broad stereotypes instead of like thinking about something

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Speaker 1: for forty five seconds, because like I don't think. I mean,

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Speaker 1: it's like I I doubt that, like the like when

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Speaker 1: you write a joke like that, it's highly doubtful that

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Speaker 1: it's intended for like a thirteen year old kid to see.

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Speaker 1: And then never stopped thinking about it. But then people

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Speaker 1: started like responding to that thread with like different, very

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Speaker 1: very specific throwaway jokes that they had seen on TV

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Speaker 1: or in movies that they had also been thinking about

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Speaker 1: for like years and years and years and I don't know,

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Speaker 1: it just it just uh, it gave me some food

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Speaker 1: for thought. We've got a lot of people, I guess

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Speaker 1: that in some of the Twilight books they say a

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Speaker 1: specific weight for how much like Bella Swan Wade and

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Speaker 1: that fused with a lot of people. Bridget Jones Fox

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Speaker 1: with a lot of people, um, because they like make

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Speaker 1: jokes about her weight when she's like she's very normal. Yeah,

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Speaker 1: she's a very normal way And I don't know, yeah,

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Speaker 1: I I it was like something that I had only

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Speaker 1: thought about in regards to that joke. Um. And like

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Speaker 1: I even like I would tell like my boyfriend was like,

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Speaker 1: oh yeah, I'm like I'm going to hit Seth McFarland

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Speaker 1: wait any day now, Like I'm like, why did I

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Speaker 1: let Seth McFarland inform my fucking great goal that makes

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Speaker 1: no sense? And then just that statement alone, I'm going

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Speaker 1: to hit Seth McFarland wait and then what you know?

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Speaker 1: But but yeah, it was like interesting to hear what

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Speaker 1: other specific things um that I I mean, I think

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Speaker 1: in a lot of cases we're not written to funk

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Speaker 1: people up, but fun people up anyways. Um, yeah, I

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Speaker 1: don't know. It's just something that's been on my little mind,

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Speaker 1: little my little mind card. Okay, uh yeah, that's a bummer.

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Speaker 1: Um yeah, but if I mean a really good point,

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Speaker 1: and I mean, yes, well I think that that's probably

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Speaker 1: I'm sure that like my like my performative love of

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Speaker 1: Seth McFarland is partially connected to yeah, yeah, yeah. So

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Speaker 1: but to answer your question, of course, of course, yeah

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Speaker 1: I will. Why do I have this dream about Seth

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Speaker 1: McFarland throwing me down a flight of stairs? You know?

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Speaker 1: Could be connected? We don't know. I don't know. Yeah,

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Speaker 1: but I mean that is like, you know, what we

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Speaker 1: talked about here is how culture affects reality and vice versa. Yeah,

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00:24:43,960 --> 00:24:49,080
Speaker 1: how it's like designed to fuck with you, and even

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00:24:49,119 --> 00:24:54,160
Speaker 1: if it's unintentional, sometimes it does have an impact. For sure. Well, yeah,

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00:24:54,160 --> 00:24:56,760
Speaker 1: because so many people have such different experiences, Like you

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Speaker 1: can never think that any single thing will be you've

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Speaker 1: did a single way, right, And that's why diversity is

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Speaker 1: incredibly important when it comes to like writing rooms and

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00:25:08,880 --> 00:25:12,440
Speaker 1: stuff like that. Yeah for sure. All right, let's take

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Speaker 1: a quick break and we'll be right back, and we're

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Speaker 1: back and it's time to check in with the impeachment process.

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Speaker 1: But I'm talking about it in this creep smooth, really smoothing,

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Speaker 1: a smile on my face, Miles and DJ dential collap

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Speaker 1: Collabo alright, Miles, alright, Jack. So the House pasted resolution yesterday. Um,

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00:25:53,119 --> 00:25:59,320
Speaker 1: the sailed right on through, sailed right on through. Uh So,

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00:25:59,520 --> 00:26:01,959
Speaker 1: I mean it was basically what people expected. I think

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Speaker 1: two Democrats who were particularly worried about, you know, how

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00:26:06,400 --> 00:26:10,800
Speaker 1: they would do in upcoming elections voted nay instead of yea,

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Speaker 1: uh yeah or I but yeah, I mean there there

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Speaker 1: wasn't anything that was really unexpected about like the rules

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Speaker 1: for what what's gonna go down right now? And I

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Speaker 1: think what's good is that I think the biggest risk

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Speaker 1: though I see, with like public hearings, is if some

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Speaker 1: of these Democrats start grandstanding and not actually like giving

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Speaker 1: good cross examination basically if they're like when it gets

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Speaker 1: to the public phase, because that's happened before. We saw

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Speaker 1: that in certain committee hearings were like what then was that? Um?

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Speaker 1: But what's also good is that they can have like

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Speaker 1: lawyers to pull up and ask questions as well. Um, so,

422
00:26:51,840 --> 00:26:53,600
Speaker 1: I mean, beyond that, there isn't much new. I think

423
00:26:53,640 --> 00:26:55,680
Speaker 1: the one thing that was interesting was Nancy Pelosi was

424
00:26:55,680 --> 00:26:58,119
Speaker 1: basically saying like, look, these are the rules, and the

425
00:26:58,240 --> 00:27:00,920
Speaker 1: reason we're doing this is that we can basically build

426
00:27:01,000 --> 00:27:03,320
Speaker 1: a case because if we take a vote to actually

427
00:27:03,440 --> 00:27:06,000
Speaker 1: impeach the president, this ship is going to be ironclad.

428
00:27:06,480 --> 00:27:08,320
Speaker 1: Like it's not We're not gonna sunk around on like

429
00:27:08,520 --> 00:27:12,000
Speaker 1: some half baked sort of plan um and for all,

430
00:27:12,080 --> 00:27:15,040
Speaker 1: Like the crowing and crying on the right about like

431
00:27:15,200 --> 00:27:18,520
Speaker 1: this is just like how is he going to defend himself? Well,

432
00:27:18,640 --> 00:27:21,639
Speaker 1: then when he's impeached, you have a trial in the Senate, right,

433
00:27:21,680 --> 00:27:24,360
Speaker 1: and then you can defend because right now they're trying

434
00:27:24,359 --> 00:27:27,200
Speaker 1: to figure out if you have impeached a committed to

435
00:27:27,240 --> 00:27:29,760
Speaker 1: impeachable offense. So they're I mean, they're just arguing with

436
00:27:29,920 --> 00:27:33,480
Speaker 1: the constitution, right, Like, like the thing they're are arguing

437
00:27:33,560 --> 00:27:37,440
Speaker 1: against are the rules of impeachment. Yes, it's it doesn't

438
00:27:37,520 --> 00:27:40,080
Speaker 1: make sense because that's the only thing they can attack

439
00:27:40,200 --> 00:27:42,840
Speaker 1: is process at this point, and like everything's like there's nothing.

440
00:27:42,960 --> 00:27:44,960
Speaker 1: What you're saying doesn't hold any weight because even what

441
00:27:45,040 --> 00:27:47,840
Speaker 1: you're saying, like the due process occurs in the actual trial.

442
00:27:48,400 --> 00:27:49,800
Speaker 1: That's like saying, if you committed a crime, and like

443
00:27:49,840 --> 00:27:52,760
Speaker 1: the cops are like investigating something like, well, hold on,

444
00:27:52,800 --> 00:27:54,679
Speaker 1: I gotta be able to defend myself right now. It's

445
00:27:54,720 --> 00:27:57,399
Speaker 1: like I'm investigating to you to figure out if you

446
00:27:57,440 --> 00:27:59,640
Speaker 1: want a court and then you can tell your side,

447
00:27:59,640 --> 00:28:01,560
Speaker 1: But right now I'm trying to gather fact to figure

448
00:28:01,600 --> 00:28:07,040
Speaker 1: out what you're being accused of. Specifically in the state

449
00:28:07,240 --> 00:28:12,000
Speaker 1: of Pennsylvania had a witch hunt themed party for Halloween.

450
00:28:14,280 --> 00:28:19,320
Speaker 1: Uh well, and again it's only the pile of this

451
00:28:19,520 --> 00:28:22,160
Speaker 1: is not looking good for Trump is only getting higher

452
00:28:22,200 --> 00:28:24,960
Speaker 1: and higher with more material witnesses coming out. So Bill

453
00:28:25,040 --> 00:28:28,359
Speaker 1: Taylor last week had mentioned the like White House like

454
00:28:29,520 --> 00:28:31,840
Speaker 1: director of like Russian Affairs, like the expert in the

455
00:28:31,880 --> 00:28:35,960
Speaker 1: White House on Russia, Tim Morrison. He literally quit the

456
00:28:36,160 --> 00:28:38,600
Speaker 1: day before he was going to testify. He was like,

457
00:28:38,800 --> 00:28:41,880
Speaker 1: I'm resigning my position and tomorrow I will go speak

458
00:28:42,000 --> 00:28:46,320
Speaker 1: to the House Intelligence Committee. Um, and so a lot

459
00:28:46,400 --> 00:28:48,560
Speaker 1: of it. I mean again, this is another person who

460
00:28:49,000 --> 00:28:52,920
Speaker 1: was mentioned by other witnesses, who has firsthand knowledge of

461
00:28:52,960 --> 00:28:56,360
Speaker 1: what was going on. So this is another problem because

462
00:28:56,400 --> 00:28:58,040
Speaker 1: it went from being like well this you have a

463
00:28:58,080 --> 00:29:02,080
Speaker 1: whistleblower who didn't know who heard. Now you're being like, okay,

464
00:29:02,080 --> 00:29:03,840
Speaker 1: well we have this person, how about now like well

465
00:29:03,880 --> 00:29:05,520
Speaker 1: that's only one. It's like what about this? Okay, that's

466
00:29:05,520 --> 00:29:08,560
Speaker 1: only two. But now it's like, oh, that guy might

467
00:29:08,640 --> 00:29:12,320
Speaker 1: be a Ukrainian spy. I'm sorry. I'm sorry. I'm sorry,

468
00:29:12,320 --> 00:29:14,160
Speaker 1: I'm sorry. Shouldn't have said that. Yeah, that about the

469
00:29:14,360 --> 00:29:16,920
Speaker 1: army colonel. The dude who made that claim on Laura

470
00:29:17,080 --> 00:29:20,160
Speaker 1: Ingram had to kind of do an apology tour, right, yeah,

471
00:29:20,240 --> 00:29:22,280
Speaker 1: John you he like he went on Cuomo and was like,

472
00:29:22,480 --> 00:29:27,240
Speaker 1: I regret saying that I was calling the Russians Ukrainians

473
00:29:27,440 --> 00:29:31,240
Speaker 1: may have been espionaging. So, which is interesting to see

474
00:29:31,320 --> 00:29:34,760
Speaker 1: because that was a moment even Fox even tried to

475
00:29:34,840 --> 00:29:40,160
Speaker 1: attempt of like besmirching a decorated Iraq war veteran, when

476
00:29:40,240 --> 00:29:43,200
Speaker 1: typically the stance of those networks is like, don't ever

477
00:29:43,360 --> 00:29:46,200
Speaker 1: say a fucking bad thing about anyone who has served.

478
00:29:46,240 --> 00:29:47,720
Speaker 1: To sudden like that dud could be a spy. I

479
00:29:47,760 --> 00:29:50,600
Speaker 1: don't know, he's Jewish too, so dual loyalty, I don't

480
00:29:50,600 --> 00:29:54,080
Speaker 1: know whatever. Um and but the I think the sort

481
00:29:54,120 --> 00:29:58,320
Speaker 1: of uh unified response about being like what the funk

482
00:29:58,360 --> 00:30:01,000
Speaker 1: are you doing? Uh? I guess showed them a bit

483
00:30:01,040 --> 00:30:03,200
Speaker 1: of a guardrail because it was interesting to see people like, Okay,

484
00:30:03,240 --> 00:30:06,440
Speaker 1: we didn't like mean to like do that, but right,

485
00:30:06,600 --> 00:30:09,320
Speaker 1: but maybe I don't know in case like we have

486
00:30:09,400 --> 00:30:13,480
Speaker 1: to discredit this girl. So I mean, it does, ultimately,

487
00:30:13,680 --> 00:30:16,960
Speaker 1: as you mentioned, end up with the Senate. And you know,

488
00:30:17,120 --> 00:30:19,720
Speaker 1: the Republicans do have the majority in the Senate, so

489
00:30:20,400 --> 00:30:23,400
Speaker 1: kind of all eyes are you know, people have at

490
00:30:23,480 --> 00:30:25,800
Speaker 1: least the like out of the corner there either watching

491
00:30:25,880 --> 00:30:30,240
Speaker 1: Senate Republicans to see how they're reacting, and you know,

492
00:30:30,440 --> 00:30:34,080
Speaker 1: overall it seems like there's a pretty big tonal shift.

493
00:30:34,280 --> 00:30:37,120
Speaker 1: The Hill published an article where they were talking about

494
00:30:37,600 --> 00:30:44,520
Speaker 1: just how Senator GOP senators answer questions have gone from uh,

495
00:30:44,760 --> 00:30:48,680
Speaker 1: you know in May, uh what's his name? Lindsay Graham

496
00:30:48,760 --> 00:30:51,800
Speaker 1: being like, oh, we dismiss it out of hand. I

497
00:30:51,840 --> 00:30:54,360
Speaker 1: think it would be disposed of very quickly, was what

498
00:30:54,560 --> 00:30:56,960
Speaker 1: he said in May. And if there were to be

499
00:30:57,000 --> 00:30:58,880
Speaker 1: a Senate trial, if there were to be a Senate trial,

500
00:30:59,040 --> 00:31:03,440
Speaker 1: and now all they asked the Tim Scott from South

501
00:31:03,520 --> 00:31:06,880
Speaker 1: Carolina if any of this bothers him, and he said,

502
00:31:06,920 --> 00:31:09,680
Speaker 1: there's a lot of things that concern me. Uh so

503
00:31:10,280 --> 00:31:14,280
Speaker 1: you know they're starting to actually be actually take some

504
00:31:14,400 --> 00:31:18,080
Speaker 1: of this in. It seems like teaser trailers. Yeah, yeah,

505
00:31:18,160 --> 00:31:21,520
Speaker 1: exactly interesting. I think you might know what that might be.

506
00:31:21,960 --> 00:31:25,239
Speaker 1: But yeah, I mean, the you see some people who

507
00:31:25,280 --> 00:31:27,760
Speaker 1: are willing to go all in um, like you know,

508
00:31:27,840 --> 00:31:29,880
Speaker 1: we're talking about Ron Johnson the other day, or even

509
00:31:29,960 --> 00:31:32,400
Speaker 1: Marcia Blackburn. There are some senators you feel like they

510
00:31:32,760 --> 00:31:35,320
Speaker 1: might have a little more involvement than we even know

511
00:31:36,040 --> 00:31:39,000
Speaker 1: or even tangentially, and like, isn't that an issue if

512
00:31:39,040 --> 00:31:41,680
Speaker 1: they're the jurors? It's like another question. And then on

513
00:31:41,800 --> 00:31:44,760
Speaker 1: top of that, there was a fundraising email that went

514
00:31:44,800 --> 00:31:48,120
Speaker 1: out from the Trump campaign that was telling all of

515
00:31:48,240 --> 00:31:52,120
Speaker 1: the like massive donor lists that they have, saying that

516
00:31:52,600 --> 00:31:56,280
Speaker 1: they're looking for money so they can be divided between Trump,

517
00:31:56,800 --> 00:32:01,320
Speaker 1: Corey Gardner of Colorado, Joanie Ernst of Iowa, Tom Tillis

518
00:32:01,360 --> 00:32:04,040
Speaker 1: of North Carolina, and saying like, yeah, because they're all

519
00:32:04,240 --> 00:32:07,080
Speaker 1: supporting an anti impeachment movement. He's like, quote, if we

520
00:32:07,160 --> 00:32:09,840
Speaker 1: don't post strong fundraising numbers, we won't be able to

521
00:32:09,920 --> 00:32:13,560
Speaker 1: defend the president from this baseless impeachment which hunt all caps,

522
00:32:14,320 --> 00:32:18,200
Speaker 1: which most people like are you bribing them by saying like, Hey,

523
00:32:18,240 --> 00:32:20,840
Speaker 1: I'll bust open this three million dollar war chest I

524
00:32:20,920 --> 00:32:24,360
Speaker 1: have if you guys get in line that in writing,

525
00:32:24,640 --> 00:32:27,480
Speaker 1: if you're planning on accepting that bribe, because this dude

526
00:32:27,520 --> 00:32:31,120
Speaker 1: never pays anybody. Yeah, um, that would be so funny.

527
00:32:31,120 --> 00:32:35,160
Speaker 1: He's like, yeah, um, can I get that in an email? Yes? Perfect?

528
00:32:35,240 --> 00:32:36,520
Speaker 1: What do you what do you want to say something

529
00:32:36,560 --> 00:32:38,240
Speaker 1: to the fact of I will give you this re

530
00:32:38,360 --> 00:32:41,680
Speaker 1: election money if you just, no matter what the evidence

531
00:32:41,760 --> 00:32:44,640
Speaker 1: in the Senate trial is, you vote against impeachment. Okay,

532
00:32:45,360 --> 00:32:49,720
Speaker 1: sounds good. Great, but he is like breaking records in

533
00:32:49,920 --> 00:32:54,840
Speaker 1: terms of money fundraising for his re election campaign. I

534
00:32:54,920 --> 00:32:58,440
Speaker 1: think and so and we were talking about in a

535
00:32:58,520 --> 00:33:02,720
Speaker 1: couple of days ago how Republican senators are worried because

536
00:33:02,920 --> 00:33:05,920
Speaker 1: their numbers are kind of floundering, drying up a little bit.

537
00:33:06,280 --> 00:33:10,240
Speaker 1: People are starting to abandon them, so they're basically using

538
00:33:10,840 --> 00:33:13,280
Speaker 1: one strength to solve It's funny. I mean, right now,

539
00:33:13,440 --> 00:33:16,960
Speaker 1: Susan Collins of Maine is showing such bravery by having

540
00:33:17,040 --> 00:33:22,280
Speaker 1: no stance on the impeachment inquiry. She but it's just

541
00:33:22,360 --> 00:33:25,560
Speaker 1: funny because she's in such a bad place after the

542
00:33:25,640 --> 00:33:29,160
Speaker 1: Kavanaugh ship like she's her approval rating is like just

543
00:33:29,520 --> 00:33:33,600
Speaker 1: not as subterranean. It's Marianas trench basically. Okay, it's where

544
00:33:33,680 --> 00:33:37,480
Speaker 1: the meg grew up. Okay, underneath that fog, beneath the

545
00:33:37,520 --> 00:33:40,840
Speaker 1: trench um. And she's still like it's like, are you

546
00:33:40,920 --> 00:33:43,600
Speaker 1: going to try and appeal to your conservatives or who?

547
00:33:44,120 --> 00:33:46,600
Speaker 1: What can you do? Try try doing something? You know,

548
00:33:48,560 --> 00:33:50,600
Speaker 1: if she's just stuck her neck out, she might have something,

549
00:33:50,680 --> 00:33:53,080
Speaker 1: but not gonna happen because she's always like, I think,

550
00:33:53,400 --> 00:33:56,440
Speaker 1: I think things are concerning. That's about it. All the time.

551
00:33:56,600 --> 00:34:00,280
Speaker 1: Things are disturbing or concerning, but that's usually the line

552
00:34:00,320 --> 00:34:01,680
Speaker 1: they walk, so they don't have to do anything too

553
00:34:01,960 --> 00:34:08,000
Speaker 1: too critical. All right, Well, so back to the whistleblower

554
00:34:08,200 --> 00:34:15,279
Speaker 1: investigations thing that started all It seems like they know

555
00:34:15,920 --> 00:34:19,239
Speaker 1: the right wing media is talking openly about who the

556
00:34:19,400 --> 00:34:23,680
Speaker 1: whistleblower is uh, and you know, the reporting is that

557
00:34:23,920 --> 00:34:27,120
Speaker 1: everyone behind the scenes is pretty much in agreement about

558
00:34:27,280 --> 00:34:30,960
Speaker 1: who it is UH, and the person at least this

559
00:34:31,239 --> 00:34:36,120
Speaker 1: real clear politics investigation is UH. The alleges that the

560
00:34:36,200 --> 00:34:40,560
Speaker 1: person is a registered Democrat, and they basically make it

561
00:34:40,719 --> 00:34:45,480
Speaker 1: sound like the whistleblower is part of the Biden campaign,

562
00:34:45,800 --> 00:34:50,600
Speaker 1: like APO research head for Biden campaign. Uh, I don't

563
00:34:50,719 --> 00:34:54,440
Speaker 1: know like how true any of that is because no

564
00:34:55,200 --> 00:34:58,239
Speaker 1: kind of down the middle media outlets are reporting on

565
00:34:58,880 --> 00:35:02,600
Speaker 1: the identity of the whistleblower. But what we know is

566
00:35:03,120 --> 00:35:07,200
Speaker 1: it's a CIA operative. The person went to Yale, so

567
00:35:07,440 --> 00:35:10,200
Speaker 1: probably like a creep of some sort or another. But

568
00:35:11,560 --> 00:35:16,520
Speaker 1: I love that generalization Yale. Yeah, and they're they're they're young,

569
00:35:17,200 --> 00:35:20,440
Speaker 1: younger than I expected. But like even Drudge is not

570
00:35:20,840 --> 00:35:25,120
Speaker 1: treating this like it's a big you know, a big deal.

571
00:35:25,280 --> 00:35:30,160
Speaker 1: It's like one link of twenty about impeach doesn't matter that. Yeah,

572
00:35:30,200 --> 00:35:33,279
Speaker 1: the flood eighth have opened and it we're beyond the

573
00:35:33,400 --> 00:35:39,040
Speaker 1: point where we're counting on this any one source of information.

574
00:35:39,320 --> 00:35:42,040
Speaker 1: The whole thing started with someone being like I heard

575
00:35:42,840 --> 00:35:44,239
Speaker 1: that this, and now you other people who are like

576
00:35:44,719 --> 00:35:49,200
Speaker 1: I saw the president. Yes, I saw Rudy Julian, you

577
00:35:49,239 --> 00:35:51,320
Speaker 1: do this. I saw John Bolton be like, this is

578
00:35:51,320 --> 00:35:55,600
Speaker 1: a drug deal. Brett. I don't like drug deals. I

579
00:35:55,600 --> 00:35:57,520
Speaker 1: don't know how you don't really sound. I'm like a

580
00:35:57,640 --> 00:36:05,160
Speaker 1: weird fun up. That's what I love. Like, Uh, guys,

581
00:36:05,200 --> 00:36:12,400
Speaker 1: it's our favorite muppet warhawk. Uh, let's talk about the president.

582
00:36:12,480 --> 00:36:18,200
Speaker 1: More bad news for the president. Yeah. He Well, there

583
00:36:18,280 --> 00:36:21,680
Speaker 1: was a fundraiser on Wednesday night in d C that

584
00:36:21,880 --> 00:36:24,760
Speaker 1: was held at the Trump Hotel in d C. And apparently,

585
00:36:24,880 --> 00:36:29,080
Speaker 1: like Trump went up and did like an hour of

586
00:36:29,200 --> 00:36:34,440
Speaker 1: like I guess, mixture of complaining almost mixture of complaining

587
00:36:34,480 --> 00:36:38,960
Speaker 1: about Democrats or Mitt Romney and also telling dumb fucking

588
00:36:39,080 --> 00:36:42,400
Speaker 1: jokes were like kind of half roasting people, and then

589
00:36:42,440 --> 00:36:46,400
Speaker 1: also patting himself on the back for killing uh Baker

590
00:36:46,440 --> 00:36:49,160
Speaker 1: all back daddy, um, and then was basically saying that

591
00:36:49,200 --> 00:36:52,200
Speaker 1: he would called Representative John Joyce's wife quote a looker,

592
00:36:53,200 --> 00:36:58,359
Speaker 1: and called the a shorter congressman Chuck Fleishman a little guy,

593
00:36:59,200 --> 00:37:01,439
Speaker 1: and some other stuff. But the thing that really stuck

594
00:37:01,480 --> 00:37:03,880
Speaker 1: out of people is that he was taking Steve Scalise,

595
00:37:03,920 --> 00:37:06,080
Speaker 1: who was the minority whip in the House. He was

596
00:37:06,360 --> 00:37:08,359
Speaker 1: involved in it. He was shot. He was a victim

597
00:37:08,400 --> 00:37:11,359
Speaker 1: of a shooting in seen at that congressional baseball game,

598
00:37:11,880 --> 00:37:15,040
Speaker 1: um or the practice for the congressional baseball team. Um.

599
00:37:15,080 --> 00:37:18,359
Speaker 1: When he was talking about him. This is what Trump said. Um.

600
00:37:18,480 --> 00:37:20,920
Speaker 1: This is from Politico. They say the President reflected on

601
00:37:20,960 --> 00:37:22,840
Speaker 1: the shooting of Steve Scalise a few years ago and

602
00:37:22,880 --> 00:37:25,800
Speaker 1: remarked how tough the Louisiana Republican is, and Trump quipped

603
00:37:25,840 --> 00:37:29,080
Speaker 1: he wouldn't recommend getting shot as a weight loss plan. Um.

604
00:37:29,440 --> 00:37:32,560
Speaker 1: Trump also said Scalise's wife quote cried her eyes out

605
00:37:32,600 --> 00:37:34,799
Speaker 1: when I met her at the hospital that faithful day.

606
00:37:35,600 --> 00:37:38,320
Speaker 1: I mean, not many wives would react that way to

607
00:37:38,440 --> 00:37:47,640
Speaker 1: a tragedy. I know mine wouldn't. I mean, so even

608
00:37:47,719 --> 00:37:50,879
Speaker 1: if he's like trying to do the my wife, she's

609
00:37:50,920 --> 00:37:55,000
Speaker 1: a ax, always always getting mad at me type thing,

610
00:37:55,239 --> 00:37:59,120
Speaker 1: it's still starting from a baseline that not many wives

611
00:37:59,239 --> 00:38:02,279
Speaker 1: would cry when their husband was shot. Well, based on

612
00:38:02,400 --> 00:38:05,840
Speaker 1: his experience, that would probably make a lot of sense.

613
00:38:06,280 --> 00:38:10,000
Speaker 1: No one would be said, God, that's so that's so dark.

614
00:38:10,960 --> 00:38:13,480
Speaker 1: That's so many layers of like, oh he thinks he's

615
00:38:13,520 --> 00:38:17,000
Speaker 1: like you know guys like you know, wives don't care

616
00:38:17,040 --> 00:38:19,200
Speaker 1: about you because you probably abuse them and they're all

617
00:38:19,320 --> 00:38:24,279
Speaker 1: like just sullen all the time, right, isn't that? I am?

618
00:38:24,320 --> 00:38:28,000
Speaker 1: I right? Guys? Like can you imagine him walking into

619
00:38:28,040 --> 00:38:31,839
Speaker 1: school usea's hospital room and like it's just like what's

620
00:38:31,880 --> 00:38:39,480
Speaker 1: her problem? Like his wife a period? Like what she

621
00:38:39,640 --> 00:38:43,920
Speaker 1: got her period? Wife? Critical condition? What the fund is

622
00:38:43,960 --> 00:38:47,919
Speaker 1: that you never do that. Yeah, my tear ducks don't work.

623
00:38:48,960 --> 00:38:51,440
Speaker 1: Oh that's right, that's right. Yeah, I don't know. It

624
00:38:51,560 --> 00:38:54,760
Speaker 1: was a very It's funny when you see these moments

625
00:38:54,960 --> 00:38:57,839
Speaker 1: or like all the Trump families just say these things

626
00:38:57,920 --> 00:39:00,680
Speaker 1: that are revealing about their mental state or like how

627
00:39:00,760 --> 00:39:02,560
Speaker 1: they see the world and things like that. So like

628
00:39:02,640 --> 00:39:05,640
Speaker 1: even when Don Jr. Was like I think recently he

629
00:39:05,719 --> 00:39:07,560
Speaker 1: said I wish my name was he was on handed,

630
00:39:07,600 --> 00:39:09,360
Speaker 1: he said, I wish my name was Hunter Biden, so

631
00:39:09,400 --> 00:39:14,800
Speaker 1: I can make millions of dollars off my dad, right, okay,

632
00:39:15,080 --> 00:39:16,600
Speaker 1: And even what was the other one when he said,

633
00:39:16,640 --> 00:39:19,719
Speaker 1: like when you when the father is powerful and you're

634
00:39:19,760 --> 00:39:23,200
Speaker 1: the son, they own you. That's how it works. Like

635
00:39:24,640 --> 00:39:26,600
Speaker 1: they just had these moments of clarity that are just

636
00:39:26,719 --> 00:39:30,280
Speaker 1: so interesting. Father is powerful, Like yeah, I mean there's

637
00:39:30,480 --> 00:39:35,960
Speaker 1: no doubt that their relationship behind the scenes makes uh

638
00:39:36,680 --> 00:39:40,560
Speaker 1: Logan Roy look like fucking Mr Rogers. Like Trump is

639
00:39:40,640 --> 00:39:44,239
Speaker 1: just probably so mean to them. Oh absolutely, I mean

640
00:39:44,320 --> 00:39:46,080
Speaker 1: you can tell even what we said, the way he

641
00:39:46,280 --> 00:39:50,160
Speaker 1: was interacting with children and costumes, he probably does not

642
00:39:50,520 --> 00:39:53,080
Speaker 1: interact with children. He doesn't like it because like I

643
00:39:53,120 --> 00:39:54,799
Speaker 1: don't know that you can barely talk to them about

644
00:39:54,800 --> 00:39:57,439
Speaker 1: the stock market. Yeah, like he just met his kids

645
00:39:57,480 --> 00:40:00,399
Speaker 1: when they turned eighteen, that kind of yeah, Like yeah,

646
00:40:00,400 --> 00:40:04,000
Speaker 1: Ivanka is like, this is your new granddaughter. He goes wow, Yeah,

647
00:40:04,880 --> 00:40:09,320
Speaker 1: do you know Obama is a Muslim? She's not responding.

648
00:40:09,600 --> 00:40:12,400
Speaker 1: She's two days old. That I don't know. It's probably

649
00:40:12,440 --> 00:40:20,399
Speaker 1: a fucking lib. There's that story about how I think

650
00:40:20,400 --> 00:40:23,560
Speaker 1: Avonka tells it, like about how he taught them to

651
00:40:23,600 --> 00:40:27,239
Speaker 1: be competitive. But it's like basically when they would go

652
00:40:27,400 --> 00:40:30,040
Speaker 1: skiing together as a family, he would like attack them

653
00:40:30,120 --> 00:40:34,480
Speaker 1: with his poles. Yeah, and it was like first one

654
00:40:34,560 --> 00:40:37,920
Speaker 1: down would get love. Basically yea, I love, I love,

655
00:40:37,960 --> 00:40:40,360
Speaker 1: I do love. A competition for a parent's love, I

656
00:40:40,480 --> 00:40:44,160
Speaker 1: know that is fun. Just like openly encouraging that is

657
00:40:44,280 --> 00:40:48,440
Speaker 1: so dark you can do. But that like that, you know,

658
00:40:48,640 --> 00:40:52,359
Speaker 1: crosses socioeconomic lines like yeah, poor parents make you fight

659
00:40:52,440 --> 00:40:56,759
Speaker 1: for their love too, and that's also fun. That's it's

660
00:40:56,760 --> 00:40:59,400
Speaker 1: a time honor tradition. My dad used to do a

661
00:40:59,480 --> 00:41:03,880
Speaker 1: game with a called poops poop Stick. It's stuff that

662
00:41:04,040 --> 00:41:08,040
Speaker 1: upright Citizen's Brigade sketch. Yeah, my dad's a huge Yeah. No,

663
00:41:08,239 --> 00:41:10,279
Speaker 1: this is like a long time but no my dad

664
00:41:10,320 --> 00:41:13,200
Speaker 1: would like have us, like me and my cousins run

665
00:41:13,280 --> 00:41:15,120
Speaker 1: around until one of us because he had to always

666
00:41:15,160 --> 00:41:17,920
Speaker 1: pick up the dog's crap and could never find it.

667
00:41:18,560 --> 00:41:20,160
Speaker 1: And so you'd have us run around until one of

668
00:41:20,239 --> 00:41:23,560
Speaker 1: us stepped in the poop, and then he would he

669
00:41:23,600 --> 00:41:25,719
Speaker 1: would get the poop stick and he would scrape the

670
00:41:25,760 --> 00:41:28,160
Speaker 1: shoe off. Yeah, and then and then you get extra

671
00:41:28,239 --> 00:41:32,080
Speaker 1: snack at lunch, right, Yeah, it was pretty smart. So

672
00:41:32,320 --> 00:41:37,200
Speaker 1: you were Logan roy, so you were trying to find it,

673
00:41:37,400 --> 00:41:39,120
Speaker 1: like as a kid, do you remember like trying to

674
00:41:39,200 --> 00:41:42,160
Speaker 1: run around and yeah, you're like you want you want

675
00:41:42,160 --> 00:41:43,759
Speaker 1: to step in the ship because then you get extra

676
00:41:43,960 --> 00:41:45,840
Speaker 1: love and snack. It wasn't enough to be like I

677
00:41:46,000 --> 00:41:48,600
Speaker 1: found it here, No need to dirty your shoe, you

678
00:41:48,640 --> 00:41:50,560
Speaker 1: can just pick it up here. No, he'd wave the

679
00:41:50,640 --> 00:41:56,040
Speaker 1: stick at the front of that scrape it off, ringing

680
00:41:56,080 --> 00:42:01,040
Speaker 1: the dinner bell with the poop. So nasty as a

681
00:42:01,080 --> 00:42:03,800
Speaker 1: point stick though, they got it out sweep in my

682
00:42:04,360 --> 00:42:08,320
Speaker 1: backyard like a mind sweeper dog poops. I didn't know

683
00:42:08,400 --> 00:42:11,200
Speaker 1: about this genius move. Just seeing the kids outside, they'll

684
00:42:11,200 --> 00:42:13,600
Speaker 1: find it. It's like it's like a weird AI hack

685
00:42:13,680 --> 00:42:18,120
Speaker 1: where it's like I used children. Smells like dogshit all

686
00:42:18,160 --> 00:42:21,719
Speaker 1: the time. The reason I got mine sweeping for the

687
00:42:21,800 --> 00:42:23,880
Speaker 1: poop is so that my kids don't track it in

688
00:42:23,920 --> 00:42:27,200
Speaker 1: the house. Well, that's a classical approach to the I'm

689
00:42:27,239 --> 00:42:30,560
Speaker 1: not thinking for man, you really need to experience some

690
00:42:30,640 --> 00:42:34,560
Speaker 1: kind of paradigm shift on. All right, let's take another

691
00:42:34,640 --> 00:42:47,160
Speaker 1: quick break and we'll be back. And we're back, and

692
00:42:47,440 --> 00:42:49,799
Speaker 1: we are joined by super producer on a hose ny

693
00:42:49,880 --> 00:42:54,440
Speaker 1: A to tell us what yesterday's Halloween costumes taught us

694
00:42:54,560 --> 00:42:59,000
Speaker 1: about the zeitgeist? What did they teach us? Um? What

695
00:42:59,160 --> 00:43:00,840
Speaker 1: did they teach us? I don't know I had to

696
00:43:00,840 --> 00:43:04,440
Speaker 1: answer that question. I know, I just sprung that one intellectual.

697
00:43:04,719 --> 00:43:07,560
Speaker 1: It's just going to list some cool stuff. What are

698
00:43:07,560 --> 00:43:10,759
Speaker 1: the deeper meanings of our culture in the direction we're headed?

699
00:43:10,760 --> 00:43:12,720
Speaker 1: And first let's talk about like what were the generally

700
00:43:12,719 --> 00:43:15,560
Speaker 1: about hegema the most popular Halloween costumes. It looks like

701
00:43:15,760 --> 00:43:22,320
Speaker 1: we're uh Joker Captain marvel um, which makes sense read

702
00:43:22,680 --> 00:43:26,560
Speaker 1: from us in the jumpsuit, Mr Rogers, the may Queen

703
00:43:26,680 --> 00:43:30,080
Speaker 1: from Midsummer That was the thought choice of the year.

704
00:43:30,160 --> 00:43:34,279
Speaker 1: I think that was the thought costume of the year. Yeah,

705
00:43:34,480 --> 00:43:36,600
Speaker 1: is that what the judges at the dog contest were

706
00:43:36,840 --> 00:43:39,000
Speaker 1: they were they were all may queens and then they

707
00:43:39,200 --> 00:43:44,800
Speaker 1: shipped all over the knife costume. Unbelievable assholes. Um. And

708
00:43:44,880 --> 00:43:48,200
Speaker 1: then the other kind of fun thing is that now

709
00:43:48,320 --> 00:43:55,279
Speaker 1: celebrities get like entire uh production companies to set up

710
00:43:55,320 --> 00:44:01,960
Speaker 1: their Instagram videos for Halloween. Like Wood's re enacted like

711
00:44:02,280 --> 00:44:05,600
Speaker 1: a five minute chunk of legally blond, right, it's her,

712
00:44:05,719 --> 00:44:08,000
Speaker 1: it's the video of um Elwood's trying to get into

713
00:44:08,080 --> 00:44:15,360
Speaker 1: law school video. Oh yeah. She remade that it feels

714
00:44:15,400 --> 00:44:16,759
Speaker 1: like a lot of them have so much money that

715
00:44:16,800 --> 00:44:20,719
Speaker 1: their costumes are so wildly like accurate, like Lebron James

716
00:44:20,840 --> 00:44:23,920
Speaker 1: that the Edward scissor hands and which off the top

717
00:44:23,960 --> 00:44:27,480
Speaker 1: of your head like like or just when you try

718
00:44:27,520 --> 00:44:29,239
Speaker 1: and picture it in your head if you haven't seen it,

719
00:44:29,400 --> 00:44:32,680
Speaker 1: you're like, that doesn't really make sense because Johnny Depp

720
00:44:32,880 --> 00:44:36,759
Speaker 1: is a sickly looking, you know, hollow eyed guy, so

721
00:44:37,000 --> 00:44:41,160
Speaker 1: that's why he makes sense. And to his credit, white Face, right,

722
00:44:41,360 --> 00:44:45,480
Speaker 1: yeah he did not, but he the costume was fucking amazing.

723
00:44:46,719 --> 00:44:50,480
Speaker 1: Paul George did Night Face, Paul George did the Night King,

724
00:44:50,800 --> 00:44:53,920
Speaker 1: and like that's one that I can picture it immediately,

725
00:44:54,000 --> 00:44:57,080
Speaker 1: and I'm like, yes, that makes sense. Um, I loved

726
00:44:57,120 --> 00:45:01,160
Speaker 1: Ariana Grand's costume. Was she Cortney carter Asian? No, Courtney

727
00:45:01,200 --> 00:45:04,480
Speaker 1: Kardashian was already on a Grande? Oh who is Ariana Grande?

728
00:45:04,640 --> 00:45:10,120
Speaker 1: Ariana Grande was the from that Twilight Zone episode where

729
00:45:10,160 --> 00:45:12,040
Speaker 1: you the way the twist is she's been ugly the

730
00:45:12,120 --> 00:45:15,959
Speaker 1: whole time. It was really really really the pig mask

731
00:45:16,920 --> 00:45:19,040
Speaker 1: that one. She had a bunch of really like horny

732
00:45:19,120 --> 00:45:21,680
Speaker 1: picks of her in the pig mask. It's it was.

733
00:45:21,920 --> 00:45:27,040
Speaker 1: It was I thought I thought it was good. Oh yeah,

734
00:45:28,320 --> 00:45:32,040
Speaker 1: like true money to put like an over the top costume,

735
00:45:32,239 --> 00:45:36,120
Speaker 1: and Zar must be nice expert. She comes on in time,

736
00:45:36,320 --> 00:45:41,279
Speaker 1: it must be what are you talking about? I don't know.

737
00:45:41,440 --> 00:45:45,319
Speaker 1: Courtney Kardashian looked exactly like Ariana Grande. That was one

738
00:45:45,400 --> 00:45:48,919
Speaker 1: where like somebody has once told you that you look

739
00:45:48,960 --> 00:45:52,480
Speaker 1: like someone, and so you'd go with that. Yeah, I

740
00:45:52,520 --> 00:45:54,160
Speaker 1: don't want to embarrass you. But in the doc you

741
00:45:54,200 --> 00:45:59,440
Speaker 1: wrote Courtney Kardashian with the sea, what the fun? I

742
00:45:59,560 --> 00:46:07,120
Speaker 1: didn't that wasn't mind. I almost and and I spelled

743
00:46:07,160 --> 00:46:16,560
Speaker 1: the Kardashian with the Crdashian like Kardashboard. But to also

744
00:46:16,640 --> 00:46:18,800
Speaker 1: though when I read it, I didn't know who you

745
00:46:18,840 --> 00:46:20,799
Speaker 1: were talking about because it was spelled with the sea.

746
00:46:21,200 --> 00:46:31,120
Speaker 1: For a split second, I was like, believe it, um

747
00:46:31,480 --> 00:46:36,560
Speaker 1: ship together, I apologize. What What were some other good

748
00:46:36,640 --> 00:46:41,399
Speaker 1: Halloween costumes? Gabriel Union went as her own character from

749
00:46:41,480 --> 00:46:44,520
Speaker 1: Bring It On Hell, Yeah, that was her. I was like,

750
00:46:44,719 --> 00:46:49,080
Speaker 1: that's a great costume. She looks like that young lady

751
00:46:49,120 --> 00:46:54,200
Speaker 1: from Bringing On That. But she also addressed her daughter

752
00:46:54,280 --> 00:46:59,600
Speaker 1: of it and Russell Wilson went as Beyonce and jay Z.

753
00:46:59,840 --> 00:47:02,279
Speaker 1: I thought that was the best customers. They also made

754
00:47:02,360 --> 00:47:07,239
Speaker 1: the video yeah, yeah, which people have a lot of

755
00:47:07,320 --> 00:47:11,920
Speaker 1: time and production money. I feel like Heidi Klum and

756
00:47:12,160 --> 00:47:15,200
Speaker 1: Seal were really the first celebrities to shame all other

757
00:47:15,280 --> 00:47:18,399
Speaker 1: people on Halloween, because like when she would go all out,

758
00:47:18,560 --> 00:47:21,040
Speaker 1: even some of her problematic costumes would be like, well

759
00:47:21,080 --> 00:47:24,360
Speaker 1: this person, what was her Halloween? What was her problematically?

760
00:47:24,480 --> 00:47:29,200
Speaker 1: She's done like like Hindu gods and ship right right,

761
00:47:29,440 --> 00:47:31,520
Speaker 1: But you know, look it was two thousand seven when

762
00:47:31,719 --> 00:47:34,080
Speaker 1: nothing was problematic. So this year she went as a

763
00:47:34,160 --> 00:47:36,960
Speaker 1: human firework. Yeah it was covering. I mean it was

764
00:47:37,040 --> 00:47:39,000
Speaker 1: like really cool looking. But then when I found out

765
00:47:39,080 --> 00:47:41,440
Speaker 1: that it was nothing. It was just like she's just

766
00:47:41,520 --> 00:47:43,919
Speaker 1: covered because they didn't look like fireworks. They just looked

767
00:47:43,920 --> 00:47:47,359
Speaker 1: like that was firework. Yeah, that was It looked more

768
00:47:47,520 --> 00:47:51,320
Speaker 1: like I don't know, ship is the word you're looking for.

769
00:47:51,600 --> 00:47:54,640
Speaker 1: I liked famous anti vax er Jessica Biel had a

770
00:47:54,680 --> 00:47:58,239
Speaker 1: fun one. Was she dressed up as young justin timber. Yeah,

771
00:47:59,520 --> 00:48:03,560
Speaker 1: top in head Yeah, and JT went as a microphone

772
00:48:03,719 --> 00:48:07,120
Speaker 1: next to her. Oh, I didn't know. That's cutely happy

773
00:48:07,160 --> 00:48:11,520
Speaker 1: in any of the photos. Yeah, that's that's also well.

774
00:48:11,600 --> 00:48:15,880
Speaker 1: Maybe because his wife, the mother of his children, as

775
00:48:15,880 --> 00:48:20,920
Speaker 1: an anti bax are vcinated. I don't know. I don't know,

776
00:48:20,920 --> 00:48:22,959
Speaker 1: because I know she was keeping don't know, other people

777
00:48:22,960 --> 00:48:26,320
Speaker 1: who didn't want to and then being very coy the

778
00:48:26,440 --> 00:48:29,560
Speaker 1: third rail these days, the new McCarthy is a man.

779
00:48:31,320 --> 00:48:35,400
Speaker 1: Say one thing. Demilovado went as Marie Antoinette and that

780
00:48:35,680 --> 00:48:39,920
Speaker 1: was very well done. Costumes, full face, makeup, the old,

781
00:48:40,760 --> 00:48:44,000
Speaker 1: the old. She did some white face. She had some

782
00:48:44,200 --> 00:48:48,839
Speaker 1: extreme white face. Highm went as handsome. That's actually funny. Yeah,

783
00:48:49,080 --> 00:48:53,920
Speaker 1: Tony Hawk went is Larry David. Oh nice Annas I

784
00:48:54,000 --> 00:48:56,960
Speaker 1: went as a strawberry as a Strawberry two years running.

785
00:48:59,160 --> 00:49:02,799
Speaker 1: Jamie LOFTA, Yeah, I went as Anastasia while she's poor.

786
00:49:02,920 --> 00:49:05,400
Speaker 1: Although everyone's been shipping all over this costume. They think

787
00:49:05,400 --> 00:49:09,480
Speaker 1: I'm a pencil. It's just hard to if you haven't

788
00:49:09,520 --> 00:49:12,160
Speaker 1: seen the movie, it's hard to place it. Apparently it's

789
00:49:12,160 --> 00:49:14,919
Speaker 1: not a very popular movie. I learned that the hard way. Yeah,

790
00:49:15,360 --> 00:49:19,359
Speaker 1: the animated film, The animated film Anastasia the beginning, she's poor.

791
00:49:19,760 --> 00:49:23,719
Speaker 1: She wears a yellow tunic, yellow tunic like a newsboy

792
00:49:23,800 --> 00:49:28,560
Speaker 1: hat or like semi military ish hat. Sometimes yes, sometimes

793
00:49:28,800 --> 00:49:30,759
Speaker 1: not in all the time. And she wears broad legging,

794
00:49:30,960 --> 00:49:33,680
Speaker 1: red hair, and she has red hair. Yeah, that's well,

795
00:49:33,719 --> 00:49:36,960
Speaker 1: that's what you really nailed me on, wasn't it. Have

796
00:49:37,080 --> 00:49:39,600
Speaker 1: you had her red hair out? Been like, oh Anastasia

797
00:49:39,640 --> 00:49:43,880
Speaker 1: when she's poor? Right, I you know what, I'm not

798
00:49:44,000 --> 00:49:46,560
Speaker 1: good at Halloween? I thought I thought it was a

799
00:49:46,719 --> 00:49:51,640
Speaker 1: really bad kill bill costume. If you got a red

800
00:49:51,719 --> 00:49:55,400
Speaker 1: hair wig, you could have gone as Natasha Leone in

801
00:49:55,960 --> 00:50:02,400
Speaker 1: what's that show? She did? Russian Doll? Cause playing Anastasia poor? Wow?

802
00:50:03,040 --> 00:50:05,600
Speaker 1: Why did she is? That? Was that a character she

803
00:50:05,640 --> 00:50:11,520
Speaker 1: played in The Big Redhead Red? Okay, Welcome to America,

804
00:50:11,600 --> 00:50:15,879
Speaker 1: Oka Eric Andre went as a pregnant Ali Wong, Fun,

805
00:50:16,400 --> 00:50:22,600
Speaker 1: Fun Fun. Jennifer Gardner was the USPS Mailbox Dango listed

806
00:50:22,680 --> 00:50:25,759
Speaker 1: one of the top group costumes as cats from the

807
00:50:25,920 --> 00:50:33,920
Speaker 1: new movie That Too Much of a Lift costume. Yea

808
00:50:34,360 --> 00:50:39,239
Speaker 1: very difficult. You didn't get my invite? No, I didn't know.

809
00:50:39,280 --> 00:50:42,600
Speaker 1: There's a picture of Tony Hawk's skateboarding is Larry that's

810
00:50:43,040 --> 00:50:47,359
Speaker 1: that's that's special. Who else? Oh? Missy Elliott went as

811
00:50:47,400 --> 00:50:52,560
Speaker 1: her first album cover, so she's won as herself. Okay, okay,

812
00:50:52,719 --> 00:50:56,120
Speaker 1: mis weird flex but but okay, how have I right? Yeah,

813
00:50:57,480 --> 00:51:01,600
Speaker 1: weird flex but all right. But Miles loves saying that,

814
00:51:02,080 --> 00:51:05,160
Speaker 1: he says times A lot of people don't know Miles

815
00:51:05,200 --> 00:51:09,520
Speaker 1: and I are I say the coolest catchphrases constantly. I

816
00:51:09,560 --> 00:51:11,160
Speaker 1: don't like to do him on Mike because you know,

817
00:51:11,280 --> 00:51:14,240
Speaker 1: I don't want to where him out. My my boyfriend

818
00:51:14,320 --> 00:51:16,719
Speaker 1: Gavelle McGee of the Lakers when his Beetle Juice, that

819
00:51:16,760 --> 00:51:18,279
Speaker 1: was a good one because he was working with his

820
00:51:18,600 --> 00:51:24,719
Speaker 1: natural natural like height and skinniness and you know, beetle juice.

821
00:51:24,880 --> 00:51:31,759
Speaker 1: At times his limbs extend out. Um M quite sexy. Great, Well,

822
00:51:31,840 --> 00:51:34,760
Speaker 1: we have learned a lot about the zygeists here today.

823
00:51:35,000 --> 00:51:38,600
Speaker 1: Thank you so much, super producer on a Hosnier. Will

824
00:51:38,640 --> 00:51:42,239
Speaker 1: you will you stay with us? I'm a strawberry, you

825
00:51:42,320 --> 00:51:50,800
Speaker 1: are Hi, I'm a star to uh. We have a

826
00:51:50,840 --> 00:51:55,719
Speaker 1: little pop culture throwback news to the nineties, I guess,

827
00:51:55,719 --> 00:52:02,240
Speaker 1: and the early as Hilton is extremely post nine eleven.

828
00:52:02,400 --> 00:52:08,239
Speaker 1: Yeah exactly. She's a direct result. Yeah, Paris Hilton. Um so.

829
00:52:08,600 --> 00:52:11,360
Speaker 1: She recently did an interview in the Guardian and talked

830
00:52:11,400 --> 00:52:15,080
Speaker 1: about her love of the Juicy Coutur Volora track suit

831
00:52:15,680 --> 00:52:17,640
Speaker 1: from the early two thousand's, and she said, I love

832
00:52:17,719 --> 00:52:21,000
Speaker 1: Juice track suits. I probably own a hundred of them

833
00:52:21,040 --> 00:52:24,040
Speaker 1: in every color. That's my uniform when I'm chilling at

834
00:52:24,120 --> 00:52:27,000
Speaker 1: home or going to the beach, anything that doesn't involve

835
00:52:27,040 --> 00:52:31,080
Speaker 1: a red carpet. And honestly, I think I like somebody

836
00:52:31,080 --> 00:52:33,520
Speaker 1: who's so on brand, even with a style choice that

837
00:52:33,640 --> 00:52:36,200
Speaker 1: is so outdated. I can't get mad about it. She's

838
00:52:36,239 --> 00:52:40,480
Speaker 1: just living in her moment. Yeah, she's right, exactly. Your

839
00:52:40,800 --> 00:52:43,400
Speaker 1: time stood still at the height of your fame, and

840
00:52:43,520 --> 00:52:46,680
Speaker 1: that's now your look brand. I can't be mad. Like

841
00:52:46,800 --> 00:52:51,160
Speaker 1: if Share still dressed like from the seventies, Share does

842
00:52:51,480 --> 00:52:55,239
Speaker 1: right but like dresses up like like not not like

843
00:52:55,680 --> 00:52:58,600
Speaker 1: hangs around in the house as the first version of

844
00:52:58,680 --> 00:53:01,920
Speaker 1: her that was famous. Yeah, I just like again, I

845
00:53:01,960 --> 00:53:04,600
Speaker 1: don't know what it is. I love the Juicy Coutour

846
00:53:04,680 --> 00:53:08,200
Speaker 1: track suit. It was my favorite garment to wear. Uh

847
00:53:09,040 --> 00:53:12,480
Speaker 1: uh to watch somebody wear. I wear my own track

848
00:53:12,560 --> 00:53:16,400
Speaker 1: suits that were baggy tight like that showing off my cakes.

849
00:53:17,440 --> 00:53:25,440
Speaker 1: But there's something about hbos grad Juicy Coutour. Find the

850
00:53:25,560 --> 00:53:30,000
Speaker 1: picture that in a Von Dutch bag. Wow wait, I

851
00:53:30,040 --> 00:53:32,200
Speaker 1: actually told my heart see it. I didn't know Juicy

852
00:53:32,280 --> 00:53:41,120
Speaker 1: Coutour was only for women. Used tights going on today? There,

853
00:53:41,200 --> 00:53:44,120
Speaker 1: I like, I like lusted after those when I was

854
00:53:44,160 --> 00:53:46,760
Speaker 1: a kid, but I was too I was couldn't be denied.

855
00:53:46,800 --> 00:53:49,000
Speaker 1: I was a child. Did you ever wear Did you

856
00:53:49,080 --> 00:53:52,200
Speaker 1: ever have a vulor track suit? No? I had swishies

857
00:53:53,600 --> 00:53:58,800
Speaker 1: like the oh yeah, like a nylon windbreaker kind of material.

858
00:53:58,880 --> 00:54:01,359
Speaker 1: Those are the kind of track suits had, like real

859
00:54:01,440 --> 00:54:05,920
Speaker 1: track suits or like tearaway love tear away pants until

860
00:54:06,719 --> 00:54:09,040
Speaker 1: we're ripped off out of party. Yeah, and I was

861
00:54:09,080 --> 00:54:12,759
Speaker 1: not wearing basketball shorts underneath for humiliating. Were you wearing

862
00:54:12,880 --> 00:54:17,000
Speaker 1: like Tidy Whitey's like jockeys. Look, that's not really important

863
00:54:17,080 --> 00:54:24,879
Speaker 1: right now, but were you wearing j cut off cut

864
00:54:24,960 --> 00:54:27,960
Speaker 1: off shorts that I was wearing underneath me North Carolina

865
00:54:28,040 --> 00:54:33,880
Speaker 1: tear away pants? Um and then taking it back another decade.

866
00:54:33,960 --> 00:54:37,719
Speaker 1: Kurt Cobain's sweater from the Unplugged Show, which happened like

867
00:54:38,120 --> 00:54:43,400
Speaker 1: just weeks before, oh, five months before, just which happened

868
00:54:43,440 --> 00:54:47,520
Speaker 1: just months before he died? Uh, just sold at auction

869
00:54:47,600 --> 00:54:52,239
Speaker 1: for four thousand dollars, the most expensive sweater ever sold

870
00:54:52,280 --> 00:54:59,080
Speaker 1: in one washed olive green mohair. Perverts? Do you think

871
00:54:59,120 --> 00:55:01,680
Speaker 1: they're just injuring when it just got out of it,

872
00:55:01,800 --> 00:55:04,400
Speaker 1: smelling it and jerking off just when I smell it

873
00:55:04,520 --> 00:55:07,880
Speaker 1: and be comftuate music? And some we find out some

874
00:55:08,040 --> 00:55:11,080
Speaker 1: like Millionaire died of like auto erotic asphyxiation or the

875
00:55:11,160 --> 00:55:13,879
Speaker 1: sweatshirt around his neck just wrapped around his head. Although

876
00:55:13,920 --> 00:55:17,680
Speaker 1: I guess you could apply that same mentality to all museums,

877
00:55:17,719 --> 00:55:22,640
Speaker 1: So I'm just calling people museum curators perverse, sucking creepy.

878
00:55:23,080 --> 00:55:27,080
Speaker 1: Is there any unwashed sweater of a celebrity or historical

879
00:55:27,200 --> 00:55:29,000
Speaker 1: figure you would be interested in just kind of getting

880
00:55:29,000 --> 00:55:31,440
Speaker 1: a whiff of, just like knowing, just to know what

881
00:55:31,520 --> 00:55:34,239
Speaker 1: someone smells like, Yeah, anyone's garments. Oh I need a

882
00:55:34,320 --> 00:55:36,240
Speaker 1: few minutes to think that. I got to think about

883
00:55:36,280 --> 00:55:40,120
Speaker 1: through historical Mr Rogers. I'm curious when Mr Rogers his

884
00:55:40,200 --> 00:55:42,440
Speaker 1: sweater smell like. But then it's like it's like they

885
00:55:42,520 --> 00:55:44,759
Speaker 1: never meet your heroes, they never smell your heroes because

886
00:55:44,840 --> 00:55:47,320
Speaker 1: if they don't smell the way you wanted them to find.

887
00:55:47,400 --> 00:55:49,600
Speaker 1: Then I learned, and that's that, and I can move

888
00:55:49,640 --> 00:55:53,279
Speaker 1: forward and make a dollar investment. I learned that Kirk

889
00:55:53,360 --> 00:55:56,400
Speaker 1: o'band wasn't the man I thought he was. It actually

890
00:55:56,400 --> 00:56:09,440
Speaker 1: smells pretty clean. He smells like cool water. He's a fraud.

891
00:56:10,560 --> 00:56:13,920
Speaker 1: Can you imagine it? Just being heartbroken? I mean, I've

892
00:56:14,000 --> 00:56:18,720
Speaker 1: always been curious about how just terrible everything smelled throughout history,

893
00:56:18,920 --> 00:56:22,840
Speaker 1: like deep in history, like a couple of centuries. Like

894
00:56:23,040 --> 00:56:26,720
Speaker 1: there there was one summer where there they just dumped

895
00:56:27,239 --> 00:56:30,759
Speaker 1: all the waste into the Thames River and all of

896
00:56:30,920 --> 00:56:34,759
Speaker 1: London just smelled like ship for a whole summer, and

897
00:56:34,920 --> 00:56:37,640
Speaker 1: it was just a thing people talked about, like they're

898
00:56:37,680 --> 00:56:40,440
Speaker 1: just like, man, really smells bad here, like to the

899
00:56:40,480 --> 00:56:42,960
Speaker 1: point that you can't think about anything else for the

900
00:56:43,040 --> 00:56:47,759
Speaker 1: whole summer. Um. Yeah, it's got a must have been bad.

901
00:56:48,800 --> 00:56:53,800
Speaker 1: Napoleon was into smelling women's body odor. He was like

902
00:56:53,920 --> 00:56:55,759
Speaker 1: like getting a whiff of the armpit or something that

903
00:56:55,880 --> 00:56:58,000
Speaker 1: was like that was his kink. Or would he have

904
00:56:58,120 --> 00:56:59,799
Speaker 1: them cut the armpit hair off and then he could

905
00:56:59,840 --> 00:57:02,800
Speaker 1: just puffed the armpit hair. I I don't know what

906
00:57:02,960 --> 00:57:04,920
Speaker 1: he would do. I just I mean, there's just different methods.

907
00:57:04,960 --> 00:57:08,239
Speaker 1: I was curious to the community. We talked about it

908
00:57:08,280 --> 00:57:10,440
Speaker 1: a lot. So was he buying it from that website

909
00:57:11,239 --> 00:57:15,880
Speaker 1: has the resput and like collected virgin hair, and he

910
00:57:16,080 --> 00:57:18,360
Speaker 1: would stuff it and his I've ever told you guys

911
00:57:18,360 --> 00:57:20,840
Speaker 1: about this. This is how I mean. I'm wearing annestation.

912
00:57:22,000 --> 00:57:26,080
Speaker 1: Give us some so I like resputed and would cut

913
00:57:26,320 --> 00:57:30,000
Speaker 1: like he would have people steal, like snip hair from

914
00:57:30,440 --> 00:57:33,000
Speaker 1: virgins or people that they thought were virgins, and he

915
00:57:33,000 --> 00:57:35,480
Speaker 1: would stuff them in the walls of his house. And

916
00:57:36,400 --> 00:57:38,280
Speaker 1: so like years and years later when they were like

917
00:57:38,400 --> 00:57:41,880
Speaker 1: demolishing one of his houses, what is it the walls

918
00:57:41,920 --> 00:57:46,600
Speaker 1: were stuffed with hair with hair, and he just I

919
00:57:46,720 --> 00:57:48,320
Speaker 1: was I don't know what he was saving it for,

920
00:57:49,000 --> 00:57:52,320
Speaker 1: but like he yeah, he like collected ladies hair and

921
00:57:52,360 --> 00:57:55,680
Speaker 1: then would like squirrel it away and had protective qualities.

922
00:57:56,400 --> 00:58:00,440
Speaker 1: I don't know, it might be hard to kill. So like,

923
00:58:00,560 --> 00:58:04,040
Speaker 1: what if that's the secret to immortality surround yourself? I

924
00:58:04,360 --> 00:58:07,400
Speaker 1: feel like this is not good for Wow, I'm starting

925
00:58:07,800 --> 00:58:09,960
Speaker 1: out there. I'll go to start going to children's barber

926
00:58:10,040 --> 00:58:14,120
Speaker 1: shops with this hair. Might have I sweep. I do

927
00:58:14,200 --> 00:58:17,400
Speaker 1: a service where I collect just children's hair for insulation. Wait,

928
00:58:17,480 --> 00:58:20,200
Speaker 1: your house, like my thing is like, wouldn't I would

929
00:58:20,280 --> 00:58:23,120
Speaker 1: worry about Like if my house caught fire, it would

930
00:58:23,120 --> 00:58:25,080
Speaker 1: burn down twice as fast because it's full of hair.

931
00:58:25,520 --> 00:58:31,200
Speaker 1: Because your yeah, virgin hair burns incredibly fast. Right, Yeah,

932
00:58:31,320 --> 00:58:35,200
Speaker 1: it's spreads. Yeah, it's a leading cause of basically, yeah,

933
00:58:35,280 --> 00:58:38,160
Speaker 1: do not get a fire near virgin hair. It's true. Um,

934
00:58:38,920 --> 00:58:44,800
Speaker 1: and there there's reports coming And on top of that,

935
00:58:45,480 --> 00:58:51,240
Speaker 1: here's something new Apple the fuck? Uh alright guys? Uh

936
00:58:51,920 --> 00:58:59,000
Speaker 1: so Apple maybe laying the groundwork for subscription based iPhones. Basically,

937
00:58:59,400 --> 00:59:02,360
Speaker 1: like would subscribe to an iPhone as opposed to owning it,

938
00:59:02,920 --> 00:59:06,600
Speaker 1: which I think is technically true. Now, well, they have

939
00:59:06,720 --> 00:59:09,280
Speaker 1: that program where basically, like you pay monthly and then

940
00:59:09,320 --> 00:59:11,200
Speaker 1: if every year you have a switch to a new one,

941
00:59:11,840 --> 00:59:13,840
Speaker 1: but you also have it's like a lead like by

942
00:59:13,880 --> 00:59:15,320
Speaker 1: the end of it, though, you'll own it if you

943
00:59:15,400 --> 00:59:17,080
Speaker 1: don't switch it within a year, Like if you do

944
00:59:17,200 --> 00:59:20,240
Speaker 1: that to your payment cycle, will own it anyway. Um,

945
00:59:20,600 --> 00:59:23,720
Speaker 1: but I don't understand why I would anyone would want

946
00:59:24,000 --> 00:59:27,600
Speaker 1: a subscription to a phone. So Tim Cook came out

947
00:59:27,680 --> 00:59:29,280
Speaker 1: with a statement where he was like, a lot of

948
00:59:29,400 --> 00:59:32,080
Speaker 1: users are asking for this, and so we're gonna do it.

949
00:59:32,280 --> 00:59:37,440
Speaker 1: But the article on CNBC that wrote about that announcement

950
00:59:37,600 --> 00:59:39,600
Speaker 1: was like, actually, it's because there's a lot of pressure

951
00:59:39,680 --> 00:59:46,520
Speaker 1: from their investors to transition from like transactional to recurring revenue. Oh,

952
00:59:46,600 --> 00:59:49,520
Speaker 1: instead of just breaking your phone every year. Right, Yeah,

953
00:59:51,000 --> 00:59:54,920
Speaker 1: I think I think they got scared because they started

954
00:59:54,960 --> 00:59:57,880
Speaker 1: making the iPhones so good that the last batch of

955
00:59:57,920 --> 01:00:00,880
Speaker 1: iPhones didn't sell as well in the United States. It's um,

956
01:00:01,320 --> 01:00:04,880
Speaker 1: and it was because of how good the previous group was.

957
01:00:05,320 --> 01:00:08,720
Speaker 1: So people are you know, that's the cultivate brand loyalties,

958
01:00:09,440 --> 01:00:11,720
Speaker 1: but they're not thinking of any of that ship. So

959
01:00:12,720 --> 01:00:14,400
Speaker 1: he's really out here being like a lot of people

960
01:00:14,440 --> 01:00:20,080
Speaker 1: have been asking for another Yeah, that's keep talking to right, Hi, sir,

961
01:00:20,120 --> 01:00:23,480
Speaker 1: We're like another recurring bill, miss recurring bill, another one,

962
01:00:25,440 --> 01:00:30,760
Speaker 1: another one is just like make up something that like

963
01:00:30,960 --> 01:00:36,000
Speaker 1: poor people want, you know it, Um okay, it's an

964
01:00:36,120 --> 01:00:39,240
Speaker 1: odd move. Yeah, and I just don't it. Also, like

965
01:00:39,320 --> 01:00:42,760
Speaker 1: I don't like the idea of disincentivizing them from like

966
01:00:42,920 --> 01:00:47,080
Speaker 1: having to keep innovating and creating better phone because like,

967
01:00:47,200 --> 01:00:49,800
Speaker 1: if you're on a subscription service, then you just like

968
01:00:49,960 --> 01:00:52,720
Speaker 1: get the phone. Whether it's cool or not, it just

969
01:00:52,880 --> 01:00:55,960
Speaker 1: like comes to you. So like why you know, right now,

970
01:00:56,440 --> 01:00:59,120
Speaker 1: I think I can totally see why it would make

971
01:00:59,160 --> 01:01:02,480
Speaker 1: sense from there our perspective, because they don't like having

972
01:01:02,720 --> 01:01:05,720
Speaker 1: to like all this pressure to innovate and upgrade their

973
01:01:05,760 --> 01:01:08,440
Speaker 1: phones like every year, and like make a better phone

974
01:01:08,520 --> 01:01:11,560
Speaker 1: that's gonna appeal to users like that much more than

975
01:01:11,640 --> 01:01:14,160
Speaker 1: the previous phone that's not gonna work. Right, They're like, Hey,

976
01:01:14,200 --> 01:01:17,960
Speaker 1: you want the stale iPhone. It's kind of like this

977
01:01:18,080 --> 01:01:20,080
Speaker 1: one from five years ago is still the best phone

978
01:01:20,120 --> 01:01:25,680
Speaker 1: never made. Yeah, I stand. I ride with the iPhone eight. Yeah,

979
01:01:25,920 --> 01:01:29,200
Speaker 1: I got whatever one was last year. My mind still

980
01:01:29,240 --> 01:01:33,720
Speaker 1: has a button that nice I got. Yeah, I have

981
01:01:33,840 --> 01:01:37,680
Speaker 1: no idea it works, though I didn't. They haven't demanded

982
01:01:37,720 --> 01:01:41,920
Speaker 1: it break yet, they haven't summoned the death spell on it. Yeah,

983
01:01:41,960 --> 01:01:44,000
Speaker 1: I read it for like exactly a year though, So

984
01:01:44,120 --> 01:01:48,680
Speaker 1: I'm like, soon that one is. That's that's pretty robust.

985
01:01:48,720 --> 01:01:50,320
Speaker 1: You got you got mileage on that because I have

986
01:01:50,400 --> 01:01:52,520
Speaker 1: one that's almost two years old on it's just fine.

987
01:01:52,640 --> 01:01:54,880
Speaker 1: They haven't they haven't done a kill they haven't flipped

988
01:01:54,880 --> 01:02:00,600
Speaker 1: the kill switch kill switch engage, all right. I had

989
01:02:00,640 --> 01:02:03,160
Speaker 1: never heard their music. I don't know who they're I

990
01:02:03,240 --> 01:02:05,400
Speaker 1: know I engaged. I know that there's they sell their

991
01:02:05,520 --> 01:02:09,440
Speaker 1: T shirts at Hot Topic, right, Yeah, you know where

992
01:02:09,440 --> 01:02:12,360
Speaker 1: they're from? Westfield, mass Really, there's a lot of shitty

993
01:02:12,400 --> 01:02:16,800
Speaker 1: bands from Massa. Jesus, that doesn't mean I mean, yeah,

994
01:02:16,880 --> 01:02:18,400
Speaker 1: there's not a lot of good music there. I was

995
01:02:18,400 --> 01:02:21,560
Speaker 1: hoping R and Arrowsmith it of course, oh ship and

996
01:02:21,640 --> 01:02:25,080
Speaker 1: they got there about Boston. Are they from Boston? I

997
01:02:25,240 --> 01:02:28,240
Speaker 1: have to assume, but I can't say they weren't They

998
01:02:28,360 --> 01:02:31,960
Speaker 1: from Omahana Bratska Pixies are from Boston. Yeah, okay, well

999
01:02:32,000 --> 01:02:34,840
Speaker 1: then look so bad? Yeah? Oh good, thank god? They

1000
01:02:34,880 --> 01:02:42,200
Speaker 1: are from Boston, like from Westfield, Connecticut, the Westfield Shopping

1001
01:02:42,280 --> 01:02:46,680
Speaker 1: Center there, live from the Westfield Shopping Star. I think

1002
01:02:46,680 --> 01:02:48,920
Speaker 1: that's where I'm gonna start doing live shows. Now, Oh

1003
01:02:49,000 --> 01:02:50,560
Speaker 1: that'd be a great album. I want to be a

1004
01:02:50,640 --> 01:02:54,400
Speaker 1: mall comedian, just an unwanted comedy, Like in the middle

1005
01:02:54,400 --> 01:02:56,520
Speaker 1: of the food court, I've sent up a microphone. Honestly,

1006
01:02:57,520 --> 01:03:00,880
Speaker 1: comedy is unwanted comedy, So what difference would it make

1007
01:03:01,400 --> 01:03:05,800
Speaker 1: put in them all? Uh, there was a new development

1008
01:03:06,000 --> 01:03:10,200
Speaker 1: in the Star Wars universe David benny Off and dB Weiss.

1009
01:03:10,400 --> 01:03:13,760
Speaker 1: Benny Off and Weiss, who ran Game of Thrones, are

1010
01:03:13,920 --> 01:03:16,200
Speaker 1: not going to be making a new Star Wars trilogy

1011
01:03:16,400 --> 01:03:23,000
Speaker 1: after all of nobody. Yeah. Literally, there's applause from the

1012
01:03:23,760 --> 01:03:26,960
Speaker 1: get they're done. Yeah. Some people thought it was connected

1013
01:03:27,000 --> 01:03:31,360
Speaker 1: to Apparently they did a uh press conference at the

1014
01:03:31,440 --> 01:03:34,959
Speaker 1: Austin Film Festival where they were like, yeah, we didn't

1015
01:03:35,000 --> 01:03:36,560
Speaker 1: know what the funk we were doing. We were just

1016
01:03:36,680 --> 01:03:38,440
Speaker 1: like kind of learning on the job. Man. It was

1017
01:03:38,520 --> 01:03:41,000
Speaker 1: crazy that they let us do it. What people were

1018
01:03:41,080 --> 01:03:43,720
Speaker 1: like that was fascinating to because I feel like people

1019
01:03:43,760 --> 01:03:45,959
Speaker 1: would see that interview ten years ago and be like, Wow,

1020
01:03:46,120 --> 01:03:48,439
Speaker 1: this is an example of how you learned on the job,

1021
01:03:48,600 --> 01:03:51,000
Speaker 1: and like this industry is actually really hard. But now

1022
01:03:51,080 --> 01:03:53,280
Speaker 1: people are just like, yeah, this is an example of

1023
01:03:53,360 --> 01:03:56,520
Speaker 1: how easy it is for like an incompetent, like too incompetent,

1024
01:03:56,800 --> 01:04:01,200
Speaker 1: like rich white guys to like fail their way upwards. Right, Yeah, exactly.

1025
01:04:01,440 --> 01:04:03,440
Speaker 1: And they also were like, we like cut some of

1026
01:04:03,520 --> 01:04:06,160
Speaker 1: the fantasy elements because we didn't just want that type

1027
01:04:06,200 --> 01:04:10,640
Speaker 1: of fan base to be into it. Um where was

1028
01:04:11,200 --> 01:04:15,520
Speaker 1: Mark Bennioff from Salesforce? Is that is he? Are they cousins?

1029
01:04:16,120 --> 01:04:19,000
Speaker 1: Because I know they're they're they're related. There was some

1030
01:04:19,240 --> 01:04:21,640
Speaker 1: yeah there, there's like a lot of inherited wealth. And

1031
01:04:21,720 --> 01:04:24,680
Speaker 1: then like weird, yeah, like their backstories we talked about

1032
01:04:24,680 --> 01:04:26,680
Speaker 1: a little bit when we're talking about Game of Thrones. Hell,

1033
01:04:27,400 --> 01:04:30,040
Speaker 1: what a what a privileged life they've had. Apparently from

1034
01:04:30,120 --> 01:04:34,280
Speaker 1: their end, they were not thrilled with the experience of

1035
01:04:34,360 --> 01:04:38,680
Speaker 1: the last season a Game of Thrones, and because of

1036
01:04:38,840 --> 01:04:42,680
Speaker 1: fan backlash and so they were like, we would rather

1037
01:04:42,800 --> 01:04:46,439
Speaker 1: not deal with like an already super committed fan base

1038
01:04:46,560 --> 01:04:51,240
Speaker 1: like Star Wars. Uh yeah, we want as possible. And

1039
01:04:51,320 --> 01:04:52,800
Speaker 1: then it's weird. As we made the show, the bar

1040
01:04:52,880 --> 01:04:54,440
Speaker 1: kept going up and I was like, this is actually

1041
01:04:54,520 --> 01:04:55,920
Speaker 1: like too much of a challenge for me, so I'm

1042
01:04:55,920 --> 01:04:58,720
Speaker 1: gonna quit. Once we learned what we were doing, we

1043
01:04:58,800 --> 01:05:01,480
Speaker 1: were like, oh it, this is hard, this is really

1044
01:05:01,520 --> 01:05:06,800
Speaker 1: fucked up. Boy. But they refer to it as quote

1045
01:05:06,880 --> 01:05:12,240
Speaker 1: toxic fandom. Um, I disagrees with you as toxic. That's

1046
01:05:12,320 --> 01:05:15,000
Speaker 1: like that's the thing, right, I agree to a certain

1047
01:05:15,040 --> 01:05:17,760
Speaker 1: extent that that is a real thing. But when you

1048
01:05:17,880 --> 01:05:21,760
Speaker 1: objectively made just the last season was just absolutely garbage. Yes,

1049
01:05:21,960 --> 01:05:25,000
Speaker 1: it's very bad. That's also funked up to because I'm like,

1050
01:05:25,000 --> 01:05:26,800
Speaker 1: I also don't agree with like people who are like

1051
01:05:26,880 --> 01:05:31,960
Speaker 1: signed a petition for HBO. They funked it up. I mean,

1052
01:05:32,040 --> 01:05:34,120
Speaker 1: I guess you know, it's it's nice to have like

1053
01:05:34,360 --> 01:05:37,040
Speaker 1: nice things to be upset about instead of like real things. Yeah,

1054
01:05:38,040 --> 01:05:40,160
Speaker 1: but the main thing that they're saying caused this is

1055
01:05:40,280 --> 01:05:43,480
Speaker 1: just that they signed like a two hundred and fifty

1056
01:05:43,560 --> 01:05:47,080
Speaker 1: million dollar deal with Netflix. Um, so they're just gonna

1057
01:05:47,120 --> 01:05:50,080
Speaker 1: be making Netflix shows, peddling out garbage and getting an

1058
01:05:50,160 --> 01:05:53,080
Speaker 1: idea of some of their other ideas besides let's make

1059
01:05:53,840 --> 01:05:57,400
Speaker 1: the civil show of this book. Though we really like,

1060
01:05:57,920 --> 01:06:01,320
Speaker 1: um that that was their Game of Thrones idea, which

1061
01:06:01,360 --> 01:06:04,040
Speaker 1: I mean that's to their credit, they like had to

1062
01:06:04,120 --> 01:06:06,200
Speaker 1: go out get George our Martin on and like it

1063
01:06:06,320 --> 01:06:09,240
Speaker 1: was their idea and like their vision of like making

1064
01:06:09,440 --> 01:06:13,440
Speaker 1: this into an HBO style TV show Can We Do?

1065
01:06:14,040 --> 01:06:18,360
Speaker 1: But their other pitch was, yeah, civil War. You might

1066
01:06:18,400 --> 01:06:22,040
Speaker 1: not remember this, but last year we talked about a

1067
01:06:22,120 --> 01:06:25,480
Speaker 1: show that HBO greenlit that was about a world in

1068
01:06:25,600 --> 01:06:36,960
Speaker 1: which the Confederacy wins. Oh right, talking about toxic fandoms. Seriously, Jesus,

1069
01:06:37,560 --> 01:06:41,520
Speaker 1: I forgot about that is as that's not happening. Yeah,

1070
01:06:41,560 --> 01:06:45,880
Speaker 1: people are like to excuse you. Yeah, who I hate

1071
01:06:45,920 --> 01:06:50,440
Speaker 1: it here yeah here, fair, fair on Earth. She must

1072
01:06:50,480 --> 01:06:52,200
Speaker 1: go back to our home planet now. Yeah. I have

1073
01:06:52,320 --> 01:06:54,640
Speaker 1: to be beamed back up my home planet. It needs me,

1074
01:06:55,040 --> 01:07:00,320
Speaker 1: my home planet. Knife dog, knife dog. Uh. Well, Amie,

1075
01:07:00,480 --> 01:07:03,640
Speaker 1: it's been wonderful having you back on the daily Sie Guist.

1076
01:07:03,880 --> 01:07:06,080
Speaker 1: Good to be back on the daily side, guyst Where

1077
01:07:06,120 --> 01:07:08,680
Speaker 1: can people find you? Follow you? You can find me

1078
01:07:08,960 --> 01:07:13,440
Speaker 1: on Twitter dot com at Jamie Loftus, help on Instagram

1079
01:07:13,640 --> 01:07:17,520
Speaker 1: at Jamie christ Superstar if you live in Boston. Tickets

1080
01:07:17,560 --> 01:07:20,760
Speaker 1: go on sale today for my show Bossom Is Girl.

1081
01:07:23,320 --> 01:07:26,640
Speaker 1: It'll be at November two at the Rockwell in summer

1082
01:07:26,680 --> 01:07:31,200
Speaker 1: Elsa should come. Thank you? Who uh and is there

1083
01:07:31,200 --> 01:07:34,040
Speaker 1: a tweet you've been enjoying? Yes? And I'm ready, I'm prepared.

1084
01:07:34,720 --> 01:07:38,280
Speaker 1: Let's never happened, Okay, So this is a tweet from

1085
01:07:38,320 --> 01:07:42,400
Speaker 1: my friend Corey Johnson at Corey T. Johnson, Uh says

1086
01:07:42,760 --> 01:07:46,440
Speaker 1: picture this. You go to see Parasite after the movie,

1087
01:07:46,680 --> 01:07:49,680
Speaker 1: your father yells, who is this direct to buy Bernie

1088
01:07:49,920 --> 01:07:55,880
Speaker 1: Sanders to the entire arc Light Theater? It doesn't land,

1089
01:07:56,280 --> 01:08:01,200
Speaker 1: why would it? That is true? We like that Corey's

1090
01:08:01,280 --> 01:08:04,560
Speaker 1: I mean Corey Corey's father read Johnson is notoriously the

1091
01:08:04,640 --> 01:08:07,280
Speaker 1: strangest man I've ever met. And uh, yeah, he really

1092
01:08:07,360 --> 01:08:11,760
Speaker 1: tried to get people hyped up. They aren't life. I

1093
01:08:11,840 --> 01:08:13,800
Speaker 1: don't know. I haven't seen the movie, but I just

1094
01:08:14,240 --> 01:08:16,600
Speaker 1: made me laugh a lot. That is incredible. Yeah. So

1095
01:08:16,720 --> 01:08:20,080
Speaker 1: at Corey T. Johnson, Miles where can people find? You?

1096
01:08:20,600 --> 01:08:24,640
Speaker 1: Find me? Follow me on Twitter and Instagram at Miles

1097
01:08:25,000 --> 01:08:29,000
Speaker 1: of Gray. Uh. Some tweets I like. Uh, this one

1098
01:08:29,200 --> 01:08:33,880
Speaker 1: is from Maddie at oh maddiosas psychology majors be like, damn,

1099
01:08:33,920 --> 01:08:35,600
Speaker 1: I can't even be mad at you because I know

1100
01:08:35,720 --> 01:08:38,800
Speaker 1: why you reacted the way you did. Uh. And then

1101
01:08:38,840 --> 01:08:42,680
Speaker 1: this another one is from Asia not Asia h with

1102
01:08:42,760 --> 01:08:45,040
Speaker 1: an underscore. Uh. It's like a quote tweet of a

1103
01:08:45,240 --> 01:08:50,479
Speaker 1: thing that's like viral worthy. Vegacials are so next level shit,

1104
01:08:50,720 --> 01:08:53,439
Speaker 1: step your p game up and it's some kind of

1105
01:08:54,320 --> 01:08:58,240
Speaker 1: vaginal steaming thing going on. I don't know what steaming thing.

1106
01:08:58,280 --> 01:09:00,800
Speaker 1: I remember that was the thing like and goop, but

1107
01:09:00,960 --> 01:09:03,960
Speaker 1: there's like another element to it. I don't know. This

1108
01:09:04,040 --> 01:09:07,720
Speaker 1: looks like they stepped it up and then the Then

1109
01:09:07,800 --> 01:09:09,800
Speaker 1: what she says is ain't it crazy? How women do

1110
01:09:09,880 --> 01:09:12,360
Speaker 1: all these all this to keep their vaginas pretty and healthy?

1111
01:09:12,400 --> 01:09:14,439
Speaker 1: Mewhile men just wiggled the pee off their dick before

1112
01:09:14,479 --> 01:09:16,760
Speaker 1: they put it back in their pants, and oftentimes they

1113
01:09:16,840 --> 01:09:19,120
Speaker 1: don't do that. They just let it drip all over

1114
01:09:19,160 --> 01:09:27,880
Speaker 1: the bathroom. Yeah, like an old sick horse, like an

1115
01:09:27,960 --> 01:09:35,760
Speaker 1: elephant with a running nose. No sorry, um kind from

1116
01:09:37,400 --> 01:09:41,240
Speaker 1: uh some tweets I've been enjoying. Uh oh no, she

1117
01:09:41,360 --> 01:09:44,120
Speaker 1: twitt and tweeted Trump, you wouldn't try if I got

1118
01:09:44,160 --> 01:09:49,160
Speaker 1: shot Milania. Oh that's not true, though, Trump, what Melania true?

1119
01:09:49,240 --> 01:09:55,439
Speaker 1: I said? I said, that's not true. And oh there's

1120
01:09:55,520 --> 01:10:00,800
Speaker 1: this thread something from Melissa mark and at double M

1121
01:10:00,880 --> 01:10:05,120
Speaker 1: Martin uh where she said happy Halloween. E that's time

1122
01:10:05,160 --> 01:10:08,440
Speaker 1: for another year of my all time favorite festivity, Tokyo's

1123
01:10:08,479 --> 01:10:11,680
Speaker 1: Monday and Halloween Costume Party or folks dress up as

1124
01:10:11,680 --> 01:10:15,240
Speaker 1: an utterly normal and boring thing. You're my favorite costumes.

1125
01:10:15,320 --> 01:10:19,080
Speaker 1: And there's just a guy whose pen is leaking, um,

1126
01:10:19,720 --> 01:10:22,280
Speaker 1: guy who bought an umbrella but then it stopped raining,

1127
01:10:23,000 --> 01:10:25,960
Speaker 1: and guy who washed his hands and wiped them on

1128
01:10:26,080 --> 01:10:32,200
Speaker 1: his clothes. We're all very good. Yeah. You can find

1129
01:10:32,360 --> 01:10:34,720
Speaker 1: me on Twitter at Jack Underscore o Bright and you

1130
01:10:34,760 --> 01:10:37,680
Speaker 1: can find us on Twitter at Daily Zycheist Brett The

1131
01:10:37,880 --> 01:10:40,559
Speaker 1: Daily Zeygeist. On Instagram, we have a Facebook fan page

1132
01:10:40,600 --> 01:10:43,160
Speaker 1: on a website, daily sis dot com. Well, we post

1133
01:10:43,240 --> 01:10:46,880
Speaker 1: our episode and our footnotes, so we're like off to

1134
01:10:47,000 --> 01:10:50,800
Speaker 1: the information we talked about in today's episode, as well

1135
01:10:50,840 --> 01:10:53,000
Speaker 1: as the song we ride out on. What's that Gonna Be?

1136
01:10:53,240 --> 01:10:57,800
Speaker 1: This is a track from doua Sale. Um, she's dope. Uh,

1137
01:10:58,280 --> 01:11:01,200
Speaker 1: she's like not reallyly been making music for a few

1138
01:11:01,320 --> 01:11:05,000
Speaker 1: years and it's just an amazing artist. Lyrics are dope,

1139
01:11:05,160 --> 01:11:09,880
Speaker 1: production is dope, very haunting, spooky little sample that helped

1140
01:11:09,960 --> 01:11:12,120
Speaker 1: it informs the rest of the song and as it expands,

1141
01:11:12,120 --> 01:11:14,200
Speaker 1: it grows. I urge you to listen to the whole track.

1142
01:11:14,320 --> 01:11:19,479
Speaker 1: But this track is called warm pants. Weren't pants nothing?

1143
01:11:19,600 --> 01:11:21,960
Speaker 1: I like also just thinking about all Saints Day. I

1144
01:11:22,000 --> 01:11:24,080
Speaker 1: went to Catholic High School. We used to get November

1145
01:11:24,160 --> 01:11:27,800
Speaker 1: one off, and like I'm thinking right now, this would

1146
01:11:27,800 --> 01:11:31,120
Speaker 1: have been the most lit Halloween because all Saints. They

1147
01:11:31,120 --> 01:11:33,360
Speaker 1: would have been a Friday seoul out of day weekend

1148
01:11:33,760 --> 01:11:43,000
Speaker 1: ship happy that Catholic High school listening. Hell yeah, bro,

1149
01:11:43,240 --> 01:11:48,280
Speaker 1: thank gang. The Daily Zeitgeist is production of I Heart Radio.

1150
01:11:48,360 --> 01:11:50,720
Speaker 1: For more podcasts from my heart Radio, visit the heart

1151
01:11:50,800 --> 01:11:54,759
Speaker 1: Radio app, Apple Podcasts, or wherever you're listening your favorite shows.

1152
01:11:54,880 --> 01:11:57,640
Speaker 1: That's going to do it for this week. We'll be

1153
01:11:57,800 --> 01:12:00,800
Speaker 1: back on Monday. Have a great weekend. Every buddy than

1154
01:12:01,160 --> 01:12:09,720
Speaker 1: bids taking in the crowd. I know, so I know,

1155
01:12:10,520 --> 01:12:36,360
Speaker 1: by Fa, I need you so creving so soon I

1156
01:12:36,439 --> 01:12:38,280
Speaker 1: have you show