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Speaker 1: Everything about this pressure.

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Speaker 2: There's that one where the other person on the red

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Speaker 2: carpet was like I met my partner through like an

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Speaker 2: Ariana Grande fans and she was like.

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Speaker 1: The hell oh arian wave her face like she goes

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Speaker 1: the reaction. It was like, oh she looks concerned. Yeah, yeah,

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Speaker 1: for sure. The power, the power.

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Speaker 3: I wonder if there's ever been people who met via

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Speaker 3: the zeitgeist.

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Speaker 1: No doubt it.

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Speaker 4: I met I met all of you through the zeit geist.

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Speaker 1: I met Hey, there we go, andy, but have we

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Speaker 1: launched my boyfriend? This is so funny. Me and my

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Speaker 1: boyfriend met through Come Town.

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Speaker 3: Yeah.

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Speaker 5: I met Outam Friedland stand up show. I was like,

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Speaker 5: it's so funny. And then you messaged me on on

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Speaker 5: a dating app. It's like I saw you at the

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Speaker 5: Adam Friedland show and I was like, oh he's got Yeah.

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Speaker 5: I was like, oh, well, he's got to be an

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Speaker 5: absolute freak, so we should say.

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Speaker 3: Like not only to be there, but then to use

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Speaker 3: that as the opening line.

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Speaker 1: I know.

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Speaker 5: Yeah, it was just funny because like anyone who's going

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Speaker 5: to like open with that, it's like, okay, well we've

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Speaker 5: already got like one very freak ass thing in common.

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Speaker 5: Between us, so this should go well. We've been together

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Speaker 5: for three years.

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Speaker 3: So I saw you in downtown Cometown in the city center.

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Speaker 5: I want to take care at the union protest outside

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Speaker 5: of Cometown City Hall.

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Speaker 1: We we were both in the picket line together.

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Speaker 3: Hello the Internet, and welcome to season three, sixty six,

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Speaker 3: Episode two of I Guy.

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Speaker 1: Stay production of iHeart Radio.

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Speaker 3: This is the podcast where we take a deep dab

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Speaker 3: into America share consciousness. We do now have a YouTube

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Speaker 3: channel YouTube dot com flash.

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Speaker 1: Anytime I try and get under the U R. L.

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Speaker 3: Fox Man at Daily Zeitge pod on YouTube, you can

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Speaker 3: go check out me flubbing shit like this that I

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Speaker 3: had to say dozens of times. Anyways, my name is

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Speaker 3: It's Tuesday, November twenty sixth, twenty twenty four. It's almost

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Speaker 3: thanksgaming man, I'm got one foot out the door. So yeah,

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Speaker 3: this is the level of effort and execution you can

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Speaker 3: expect from.

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Speaker 1: Are you regressing because you're at your parents' house too?

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Speaker 3: Like, yes, exactly, my mom, I've just been I've been

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Speaker 3: sucking my thumb with a blankie in my.

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Speaker 1: The whole day. Thumb looks like that. Oh good, what

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Speaker 1: is it like that?

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Speaker 2: What do you say Nation, November twenty sixth, is that

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Speaker 2: we're doing, Yes, sir, because I say we're saying that's

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Speaker 2: the day. Well, guess what it's. It's National Cake Day.

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Speaker 2: So shout out cakes and all kinds of varieties and cakes.

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Speaker 1: Hey, let them know, let them know.

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Speaker 2: It's time to celebrate the yeeks or the baked good.

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Speaker 1: Up to you, Up to you.

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Speaker 3: My name is Jack O'Brien aka mashed potatoes O'Brien because

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Speaker 3: it's almost Thanksgiving and potatoes O'Brien is a dish that

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Speaker 3: sometimes go by that one courtesy of the Frequent News

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Speaker 3: Ghost and Paul Garaventa on the discord a collabo on

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Speaker 3: that one. I'm thrilled to be joined as always buy

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Speaker 3: my co host mister Miles.

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Speaker 2: Grass Miles Gray just keeping it real simple.

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Speaker 1: You know, if your potatoes O'Brien, I'm miles of gravy

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Speaker 1: because I love the gravy. That's how it is. Again

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Speaker 1: you already know that's Peg and the Frequent News Ghost.

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Speaker 1: I'm I'm I'm looking forward to the amount of gravy

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Speaker 1: I'm gonna eat.

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Speaker 2: I'm gonna just drink it out of an espresso cup,

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Speaker 2: like just on the side, like you know what, just

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Speaker 2: having one another, one another, one another one that is

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Speaker 2: what it is referring.

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Speaker 1: To and heard congestion.

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Speaker 3: Yeah, I feel like some people might have been confused

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Speaker 3: how the frequent News Ghost and Paul Garaventa collabored on

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Speaker 3: three word a K when I did it, But there

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Speaker 3: it is. It's because we also had it was a group,

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Speaker 3: it was a team AKA shout out to y'all, Miles.

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Speaker 3: We're thrilled to be joined in our third and fourth

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Speaker 3: by two of our favorite guests, a podcast producer and

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Speaker 3: a musician who hosted the Great Beauty Translated podcast celebrating

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Speaker 3: the trans experience and having a lot of fun along

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Speaker 3: the way. Please welcome Carmen larn and Janey Danger.

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Speaker 1: Cobbler. Zachi R.

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Speaker 5: Coppler, you're kind of channeling like like an auction crier

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Speaker 5: at the beginning, there.

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Speaker 4: A very coveted scale that you have to like go

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Speaker 4: to school to learn how to do that.

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Speaker 5: Like that's like a fast like buster rhymes could probably

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Speaker 5: be good out of Oh.

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Speaker 2: I don't any time, I know you can tell my

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Speaker 2: t ain't about Yeah.

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Speaker 5: Maybe now that there's no like space for them in

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Speaker 5: like popular music scene because of all the freaking mumble rap.

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Speaker 1: Maybe they could. They're all working as an auction.

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Speaker 2: Crist is so hard to like process in the year

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Speaker 2: of Our Lord's twenty twenty four now, Like he did

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Speaker 2: a video recently on his social media where he was

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Speaker 2: clearly just somewhere where there was like a parked helicopter

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Speaker 2: and he had like an empty suitcase and he like

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Speaker 2: hopped off the rail.

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Speaker 1: I was like, yo, I just got off the helicopter

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Speaker 1: and You're like, the nothing's moving. The door is shut

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Speaker 1: and locked. Bro.

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Speaker 2: I could tell that case is so light. I'm like,

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Speaker 2: why are we still doing this? Are not a helicopter.

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Speaker 2: He's not allowed to be on that helicig. No, No security.

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Speaker 1: Is being dispatched immediately. He's like the one security guard.

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Speaker 1: Good thing, he's quickly. I love your album Extre Extinction

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Speaker 1: level event, bro, Yeah, yeah, go ahead, you can hop

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Speaker 1: on there.

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Speaker 3: Man.

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Speaker 5: There's like a guy. It's like a guy in a

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Speaker 5: control center like, yo, yeah, it's Buster Rhymes. You've got

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Speaker 5: to stop it, like it I'm sure it's him, Like yeah,

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Speaker 5: multiple incidences.

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Speaker 3: Now, all the hellip heads across New York City just

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Speaker 3: have pictures of Buster Rhymes.

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Speaker 2: He's off yeah, he's always got to have a duffel

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Speaker 2: on him, just to pretend if you want to stunt, like.

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Speaker 1: Oh, there's a park limitsye, let me pretend I got out. Hey,

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Speaker 1: we'll sup, just got out the limbo. Do you have anything?

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Speaker 1: After the preamble was just like, hey, you know, it's

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Speaker 1: me anywhere to get what happened.

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Speaker 2: I think everyone just kind of was so bummed out

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Speaker 2: by the action of just jumping out of like pretend

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Speaker 2: like you can almost feel like the camera guy gonna

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Speaker 2: be like and go.

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Speaker 1: You know what I mean?

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Speaker 2: Yeah, yeah, yeah, just it was so janky that yeah,

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Speaker 2: just everyone just is bummed out.

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Speaker 1: Didn't even hear the words. So yeah.

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Speaker 3: Anyway, anyways, helicopters are crazy, right, That's what he says.

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Speaker 1: And about one, yeah.

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Speaker 3: I can't believe those things can fly. Anyways, Carmen Janey,

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Speaker 3: we're thrilled to have you. We're going to get to

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Speaker 3: know you both a little bit better in a moment. First,

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Speaker 3: a few of the things that we're going to be

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Speaker 3: talking about today, we're going to be talking about We're

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Speaker 3: going to just continue to take a little peek into

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Speaker 3: how the Democrats are doing. Have they learned anything yet

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Speaker 3: from this past election. Are they learning the right things?

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Speaker 3: You'll you'll be completely unsurprised by the answer. And we'll

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Speaker 3: of course talk about Ebenezer Scrooge's grave being created.

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Speaker 1: He was a real person. I don't yeh, I need

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Speaker 1: that to be real. I he was McDuck.

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Speaker 3: Yeah, regard he actually tried jumped into the coins from

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Speaker 3: too high up.

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Speaker 1: And broken that. Yeah, red misted.

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Speaker 5: There was there was another there was another trans uh,

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Speaker 5: Scrooge mcdock who swam through the coins faster and it

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Speaker 5: was a big It was a big.

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Speaker 4: Candle to get banned from a trans from money circus

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Speaker 4: for us, Scrooge McDuck.

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Speaker 3: All right, Before we get to any of that bullshit,

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Speaker 3: we do like to ask our guests, Carmen Jane, what

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Speaker 3: is something from your search history that is revealing about

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Speaker 3: who you are? Carmen, I will start with you, thank you.

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Speaker 4: Okay, my search history this week is actually quite boring.

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Speaker 4: And normally I'm searching some cool ship. But I've just

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Speaker 4: had three weeks ago. I'm going to talk about it,

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Speaker 4: and I underrated. I just had a full f FS

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Speaker 4: on my face facial feminization surgery, and I don't like

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Speaker 4: to google these things.

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Speaker 1: Before.

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Speaker 4: I mean I do, I still do. I just forget

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Speaker 4: about I forget about cold. Yeah, I like to go

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Speaker 4: in cold. But now that I've had everything done, I'm

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Speaker 4: like googling each of the procedures. I like to read

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Speaker 4: the surgery notes that are in like my my chart

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Speaker 4: app and I also like to google things to figure

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Speaker 4: out what is what. And I'm just looking at diagrams

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Speaker 4: of like endoscopic brow lifts, pipe three four head reconstruction,

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Speaker 4: write open rhinoplasty. I'm like really obsessed with what they

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Speaker 4: were doing to me while I was under.

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Speaker 3: So congratulations three weeks later.

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Speaker 1: That's wild. Yeah I never looked that bad.

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Speaker 4: Actually it was all thanks to pineapple juice and arnica.

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Speaker 4: So drink your pineapple juice, take your It does not

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Speaker 4: make your com taste better, you know it.

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Speaker 1: Kind of does.

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Speaker 5: I'm a truth about this. Just hates pineapple, just hateapples.

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Speaker 5: Oh really doesn't make it ice better. The only thing

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Speaker 5: that makes your com taste better is a beef burg

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Speaker 5: and yawn is supposed to help with bruising and swelling

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Speaker 5: as well as the arnica. So I like did a

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Speaker 5: double a double whammy.

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Speaker 4: Wow, okay, yeah, and I was only bruised for about

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Speaker 4: a week, so pretty good.

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Speaker 1: Oh that is that the where'd you get that cup

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Speaker 1: from that looked like a hospital?

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Speaker 5: Oh?

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Speaker 4: This is from my This is my little souvenir I

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Speaker 4: stole from the hospital university.

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Speaker 1: That's like, I love, I love a hospital ice cup.

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Speaker 1: It's been big.

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Speaker 3: That cup was designed to hold ice chips.

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Speaker 4: Yes, so yeah, I took it with me. I shout

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Speaker 4: out to Emory. They really got me together.

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Speaker 1: They're quite nice.

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Speaker 5: I got a sire that would be good for like

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Speaker 5: barts and like making like a like a mint jewelip,

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Speaker 5: like something that needs like like crumbly ice.

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Speaker 1: Yeah right, yeah he goes in the hospital cup.

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Speaker 5: Yeah, you call it the hospital or you don't walk

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Speaker 5: around the hospital drinking a mint jewel Look like I'm

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Speaker 5: at the Kentucky Derby. I'm like facinating on who's gonna die,

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Speaker 5: like standing outside the hospital room like like within myself

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Speaker 5: with like a like a brochure.

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Speaker 1: Come on, yeah right, he's flat lining. Come on, they

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Speaker 1: save somebody's life, all right. They're throwing.

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Speaker 5: Stop the county, stop the cout keeping the nurses from

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Speaker 5: going in.

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Speaker 1: They're like, no, I got a lot of money on this.

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Speaker 1: Something from your search history. Oh, you know, my search

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Speaker 1: history was kind of boring. That's always funny.

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Speaker 5: It's like always like the same kind of like looking

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Speaker 5: up like I don't know, like how to find like

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Speaker 5: an item in Dark Souls or something, but like something

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Speaker 5: kind of interesting. I don't know if I want to

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Speaker 5: go too far into it because it's a lot and

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Speaker 5: it's insane. But you mentioned the like since Ariana Grande

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Speaker 5: has been like in the news so much lately, it

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Speaker 5: reminded me of this like very strange coincidence. If you

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Speaker 5: google the words death Grips, like the bands Death Grips,

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Speaker 5: like the Experimental Wrap Trio and Ariana Grande, there's a lot.

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Speaker 1: Of insane like MASHs. Maybe maybe there's not. No, it's

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Speaker 1: it's darker than that.

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Speaker 5: It's like a numerological like there's this very insane correlation

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Speaker 5: between the band Death Grips releasing their album Steroids and

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Speaker 5: the like bombing that happened in at.

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Speaker 1: A Manchester like Ariana Grande concert.

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Speaker 5: Where the album was released on five, twenty two seventeen

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Speaker 5: and its length is twenty two minutes and thirty one

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Speaker 5: seconds that the bombing occurred on.

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Speaker 1: Really wow, what do you want to do with it?

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Speaker 1: Where were you? Yeah, like I was, as I fucking

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Speaker 1: told you. I told Janey, what did I tell you?

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Speaker 5: I'm so should I should have just talked about how

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Speaker 5: to find the symbol of avarice and dark souls one.

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Speaker 1: There you go. There, that's why. Too deep. Yeah, the

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Speaker 1: amount of things I'm seeing on Reddit already, I'm like, yeah,

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Speaker 1: are you looking it up? It is like I don't know,

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

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Speaker 5: I was thinking about this earlier this week with the

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Speaker 5: U Did y'all talk about the Joe Rogan.

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Speaker 1: Believes in dragons kind of story that happened? Oh no,

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Speaker 1: my god. No.

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Speaker 5: So it was like a thing on the View where

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Speaker 5: one of those girls said, like, Joe Rogan someone who

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Speaker 5: believes in dragons. And I'm not a Joe Rogan fan,

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Speaker 5: but the clip they were talking about it kind of

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Speaker 5: caused like a flare up on like Twitter and stuff.

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Speaker 5: And the clip they were talking about was from like

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Speaker 5: twenty nineteen, when Joe Rogan was still like a little

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Speaker 5: bit like more on the more lighthearted, just like talking

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Speaker 5: about like.

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Speaker 1: You know, a monkey's really strong, you can rip your

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Speaker 1: face off.

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Speaker 5: But yeah, it's like a it's like a hypothetical like

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Speaker 5: what if like dragons were real, and like it's just

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Speaker 5: a more kind of fun conspiracy. It's a thing that

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Speaker 5: makes you go hmm, as opposed to something that like

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Speaker 5: you just like lose your mind and you know, end

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Speaker 5: up doing like devastating things about So. I don't know,

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Speaker 5: I just thought, I just think it's a very interesting

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Speaker 5: set of insane coincidences that it's interesting.

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Speaker 4: I don't know, but that's interesting.

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Speaker 1: That's interesting, asking just asking some questions.

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Speaker 3: If there's any anything other than interesting, Yeah.

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Speaker 5: If there's any if there's any Death Grips fans as listeners,

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Speaker 5: I bet they would. They're probably a little weird as

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Speaker 5: it is. They would probably get a bit of a bit,

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Speaker 5: a bit of a hum out of this, or they'll

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Speaker 5: lose their mind, or they'll be like, this is talking

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Speaker 5: directly to me.

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Speaker 1: There's a very.

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Speaker 3: Specific group of people who were arguing that Kendrick Lamaran

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Speaker 3: father John Misty or somehow cosmically linked. Yeah, because albums

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Speaker 3: at the same time that is supposedly that is.

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Speaker 1: Really really weird.

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Speaker 5: Yeah, especially with this new one, because no one knew

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Speaker 5: this Kendrick Lamar album is coming out and Father Josh

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Speaker 5: till maybe he did, maybe that I haven't paid the

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Speaker 5: attention to Father John Mistis in a while, but I

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Speaker 5: do like the new album.

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Speaker 1: It's very pretty.

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Speaker 3: You play the Kendrick Lamar back album backwards and it's just.

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Speaker 1: Somehow.

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Speaker 5: Another another fun one like that is the like David

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Speaker 5: Bowie Kanye West one.

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Speaker 1: Do you guys know about that? I don't know. It's

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Speaker 1: like that.

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Speaker 5: If you look at the cover of Uh start us

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Speaker 5: the street, Yeah, the street he's standing on is k

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Speaker 5: I remember this?

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Speaker 1: The story is kind of like that.

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Speaker 5: The person that that Ziggy starred us or the person

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Speaker 5: that David Bowie is singing about who's like a rock

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Speaker 5: star who comes down to save the world and is

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Speaker 5: like a genre defining artist is Kanye West.

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Speaker 1: I feel like we can probably put that one to

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Speaker 1: bed by.

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Speaker 6: Everything about that checks out one unless unless what David

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Speaker 6: Billy meant was that like he's going to become like

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Speaker 6: an evil hit Larry and figure with the way that

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Speaker 6: maybe and.

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Speaker 1: It can restore balance to the force, you know, and

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Speaker 1: trains around on time thank you.

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Speaker 3: Saying don't sleep on Kanye West is the savior of humanity.

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Speaker 2: Yeah, I mean, he's doing great. Things for doing nitrous

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Speaker 2: it's the best that we've heard.

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Speaker 1: So yeah, I don't know.

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Speaker 2: I don't know if that unless the Starman was it

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Speaker 2: in the lyrics that he would just be off NAS

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Speaker 2: all the time.

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Speaker 1: Yeah, I think so.

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Speaker 5: I think that you hear that and stuff forget said, right, Yeah,

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Speaker 5: I think that's what about this, Like.

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Speaker 1: Does NAS have a mute? Not NAS the rapper, but

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Speaker 1: like NAS the drink.

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Speaker 3: Does it have like a musical esthetic, like the way

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Speaker 3: that you know, like psychedelic.

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Speaker 5: Rock, because the only people that I knew who drank

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Speaker 5: NOS were people that like just got out of rehab,

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Speaker 5: like nitrous oxide. You're talking about the energy drink, No,

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Speaker 5: I mean.

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Speaker 1: Almost definitely a reference to I think that the energy drink.

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Speaker 5: I could be wrong on this, but I think it's

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Speaker 5: brewed with nitrous like Guinness sort of.

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Speaker 1: I could be me, but it might be. I don't know.

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Speaker 5: Nitrous is having a moment though, because like galaxy gas,

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Speaker 5: which is like a legal way to do it, and

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Speaker 5: it's very weird like even Yeah, I don't know how

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Speaker 5: much I've talked about my like junkie past, but like

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Speaker 5: like a long time ago, I was a very different

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Speaker 5: bad person and even when I was like doing like

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Speaker 5: Heroin and Ship, I would see people like huffing things

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Speaker 5: and I'd be like, oh no, that can kill you.

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Speaker 1: Brother.

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Speaker 5: You guys are you guys are crazy right nowthing about

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00:18:02,000 --> 00:18:06,440
Speaker 5: inhaling something like I don't know, I have like an old,

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Speaker 5: big giant balloon.

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Speaker 1: You're like, yeah, yeah, I don't know.

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Speaker 5: Maybe just because I'm asthmatic and I'm afraid that like

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Speaker 5: if I breathe something in for too long, it's like, oh,

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Speaker 5: it's game over and I can't.

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Speaker 2: I mean, if you said for an actual sound, the

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Speaker 2: closest I would say is like, there is a Tame

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Speaker 2: and Polo track called Nangs, which it's like slang for

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Speaker 2: nitrous oxide, and the sound is like there's like a

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Speaker 2: sort of robbing yeah, like wobbly keyboard in it that

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00:18:38,200 --> 00:18:41,560
Speaker 2: I mean, yeah, that sort of replicates the feeling.

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Speaker 1: But I guess I don't know. It's hard to be like, dude,

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Speaker 1: they're there. You can tell they're so like artistic because

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Speaker 1: of the Nangs.

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Speaker 5: There's also the new Little Uzivert album where allegedly there's

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Speaker 5: a song where he like rips a galaxy gas rip

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Speaker 5: like in the middle of the song. Oh God, even

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Speaker 5: amongst like Uzzivert fans.

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Speaker 1: People don't like it. People are bad after that.

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Speaker 3: Yeah, it's not a thing I associate with productivity of

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Speaker 3: any sort, no artistic.

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Speaker 5: I've always been a skeptic when people are like, oh,

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Speaker 5: the Beatles made good albums because of psychedelics, It's like, no,

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Speaker 5: they made good albums because they were creative.

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Speaker 1: They're kind of just like at writing.

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Speaker 5: That's not that's not how you can take all the

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Speaker 5: psychedelics you want. It's not gonna make you make abby

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Speaker 5: right right, Like.

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Speaker 2: Yeah, I can point you in the direction of some

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Speaker 2: people who are cooked off ashida. People put a little

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Speaker 2: in front of them and they ain't doing shit.

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Speaker 5: Yeah, absolutely, yeah I don't. I couldn't imagine Nitrius doing

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Speaker 5: any better.

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Speaker 2: No, I mean because if you think about it, at least,

380
00:19:46,840 --> 00:19:48,800
Speaker 2: like with psychedelics, people are like I can kind of

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00:19:48,840 --> 00:19:51,480
Speaker 2: see them looking at things different. You talk to somebody

382
00:19:51,560 --> 00:19:58,400
Speaker 2: off the gas or like, iint nothing happening in there

383
00:19:58,440 --> 00:19:59,879
Speaker 2: that's worth talking about.

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00:20:00,280 --> 00:20:05,040
Speaker 3: Yeah, let's uh this PSA brought to you by the Dailies.

385
00:20:05,080 --> 00:20:08,760
Speaker 1: I think let's take a phone dog on the phone

386
00:20:11,040 --> 00:20:12,640
Speaker 1: to stay in my high school. Bro, we hit big

387
00:20:12,640 --> 00:20:16,760
Speaker 1: ass balloon.

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00:20:15,920 --> 00:20:19,320
Speaker 7: We're like, all right, yeah, let's take a quick break.

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00:20:19,359 --> 00:20:33,000
Speaker 7: We'll be right back, and we're back. We're back and

390
00:20:33,040 --> 00:20:33,560
Speaker 7: we're back.

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Speaker 3: Yeah, and it is time press ask you both, what

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Speaker 3: is something you think is underrated?

393
00:20:40,040 --> 00:20:43,160
Speaker 1: Janey, you want to kick us off? This underrated? Yeah?

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00:20:43,200 --> 00:20:47,199
Speaker 5: Okay, So this is another another one I've just been

395
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Speaker 5: kind of thinking about a lot lately as we like

396
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Speaker 5: further like dispend descend into like horrific fascism. But I

397
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Speaker 5: really I really hate these people. I really hate like

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Speaker 5: the world right now. I really hate a lot of things.

399
00:21:02,840 --> 00:21:07,160
Speaker 5: But one thing that is really kind of like just

400
00:21:07,280 --> 00:21:09,320
Speaker 5: sticking with me, that has stuck with me, like since

401
00:21:09,359 --> 00:21:14,680
Speaker 5: the election is seeing all of these like tasteless losers

402
00:21:14,720 --> 00:21:18,320
Speaker 5: like gloating and being happy and you know not I

403
00:21:18,359 --> 00:21:22,200
Speaker 5: would never, by any means hand it to the Nazis,

404
00:21:22,600 --> 00:21:25,400
Speaker 5: but the Italians had some style, you know, they had

405
00:21:25,400 --> 00:21:26,600
Speaker 5: some some swag.

406
00:21:27,400 --> 00:21:29,480
Speaker 1: You know. In fact, I think if I remember my

407
00:21:29,600 --> 00:21:32,080
Speaker 1: history correctly, they were only in it for the suits.

408
00:21:33,880 --> 00:21:34,600
Speaker 1: These people.

409
00:21:35,000 --> 00:21:38,880
Speaker 5: Like seeing these motherfuckers like be like, oh my god,

410
00:21:39,160 --> 00:21:42,399
Speaker 5: church is so aesthetic to going, Like having a family

411
00:21:42,480 --> 00:21:46,920
Speaker 5: is so base, Like all these like boring just boring

412
00:21:47,080 --> 00:21:51,440
Speaker 5: signifiers of like white Protestant Christianity and touting it as

413
00:21:51,480 --> 00:21:55,080
Speaker 5: this like aesthetic standard of like beauty.

414
00:21:55,119 --> 00:21:56,879
Speaker 1: It's like what happened to taste?

415
00:21:57,040 --> 00:21:59,600
Speaker 5: Like what happened to like I don't know, like I

416
00:21:59,640 --> 00:22:03,119
Speaker 5: seem to maybe like I'm retconning this in my mind,

417
00:22:03,240 --> 00:22:06,920
Speaker 5: but like I seem to remember like evil fascists had

418
00:22:06,960 --> 00:22:10,480
Speaker 5: some form of like I don't know, like taste like

419
00:22:10,480 --> 00:22:12,920
Speaker 5: like salo like like they were like I don't know,

420
00:22:13,040 --> 00:22:15,159
Speaker 5: like they were they had they had some kind of

421
00:22:15,240 --> 00:22:17,840
Speaker 5: evil elegance to them. But I guess it's just like

422
00:22:17,920 --> 00:22:22,720
Speaker 5: distinctly American that like our form of fascism is like.

423
00:22:23,040 --> 00:22:26,160
Speaker 1: They're making beef tellow come back to McDonald's.

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00:22:26,880 --> 00:22:32,040
Speaker 4: It's so gross me theer I use as beefcallow.

425
00:22:32,560 --> 00:22:38,879
Speaker 1: Yeah, but is actually it's just so gross.

426
00:22:39,000 --> 00:22:43,280
Speaker 3: Like I maybe we were cool after all all along

427
00:22:43,560 --> 00:22:49,240
Speaker 3: because president because we're in power the thing that's always cool, right,

428
00:22:49,359 --> 00:22:52,480
Speaker 3: I don't I don't understand the theory that they they're

429
00:22:52,560 --> 00:22:56,640
Speaker 3: like we won the guy we like won the presidential election,

430
00:22:57,080 --> 00:23:02,719
Speaker 3: and therefore maybe we were cool. Right, that's presidents aren't cool.

431
00:23:03,240 --> 00:23:03,520
Speaker 1: Yeah.

432
00:23:04,760 --> 00:23:06,639
Speaker 5: It also it also ties them with the whole like

433
00:23:06,720 --> 00:23:09,560
Speaker 5: people like being like the whole kind of push to

434
00:23:09,600 --> 00:23:13,560
Speaker 5: make conservatism seem like countercultural, seem like punk rock and stuff.

435
00:23:13,600 --> 00:23:16,520
Speaker 5: It's like, yeah, well now you control every chamber of government.

436
00:23:16,560 --> 00:23:19,480
Speaker 5: How fucking punk rock is that? Like how rage against

437
00:23:19,520 --> 00:23:23,320
Speaker 5: the Machine is that? Dude, Like it's it's fucking ridiculous.

438
00:23:23,359 --> 00:23:26,639
Speaker 5: Like it's just these people make no good art, no

439
00:23:26,720 --> 00:23:30,160
Speaker 5: good music, no good nothing, and they get to walk

440
00:23:30,200 --> 00:23:33,160
Speaker 5: around like they're like the symbols of like aesthetic beauty,

441
00:23:33,200 --> 00:23:33,920
Speaker 5: and I hate it.

442
00:23:33,920 --> 00:23:37,640
Speaker 3: It makes me so Yeah, I heard somebody you bring

443
00:23:37,680 --> 00:23:40,000
Speaker 3: this up. I forget who it was, but I do,

444
00:23:40,240 --> 00:23:45,000
Speaker 3: Like I'm I'm not gonna listen, but who I want

445
00:23:45,040 --> 00:23:49,520
Speaker 3: somebody to listen to their podcasts once Trump is in off,

446
00:23:49,720 --> 00:23:51,920
Speaker 3: Like what are they They're gonna just be like, man,

447
00:23:52,000 --> 00:23:53,320
Speaker 3: the president is cool.

448
00:23:54,000 --> 00:24:01,080
Speaker 5: Yeah, yeah yeah. It Also another weird thing is how

449
00:24:01,160 --> 00:24:03,359
Speaker 5: like all these like especially if you're like still like

450
00:24:03,520 --> 00:24:06,320
Speaker 5: on Twitter, like all of these like right wing accounts

451
00:24:06,359 --> 00:24:09,920
Speaker 5: like to use like AI, which is like I thought

452
00:24:10,000 --> 00:24:13,080
Speaker 5: you guys were the ones that had like bronze age

453
00:24:13,119 --> 00:24:16,320
Speaker 5: statues as like your avatars and being like this is

454
00:24:16,400 --> 00:24:19,359
Speaker 5: like peak like blah blah blah. It's like but now

455
00:24:19,440 --> 00:24:23,680
Speaker 5: you're all like proudly touting like AI slop like it's

456
00:24:23,800 --> 00:24:28,480
Speaker 5: it's ugly. Every everything is ugly, and it's I just

457
00:24:28,600 --> 00:24:31,320
Speaker 5: hate it. I hate not that like fascism would be

458
00:24:31,320 --> 00:24:33,840
Speaker 5: better if it was pretty, So it's for the record,

459
00:24:33,880 --> 00:24:35,440
Speaker 5: it would still be horrible.

460
00:24:35,320 --> 00:24:38,320
Speaker 1: Sure, but they're not even bothering with that part.

461
00:24:38,600 --> 00:24:41,000
Speaker 5: Yes, I think that's what is that we're not even

462
00:24:41,160 --> 00:24:45,240
Speaker 5: bothering with Like, yeah, it's just everything's ugly.

463
00:24:45,280 --> 00:24:49,200
Speaker 1: Everything is a mara fat and gross and I hate it. Yeah.

464
00:24:49,520 --> 00:24:54,359
Speaker 3: Like when history books look back on this period of fascism, it's.

465
00:24:54,200 --> 00:24:57,040
Speaker 1: Gonna be like, wait, how did they fall for this shit?

466
00:24:57,200 --> 00:25:01,280
Speaker 1: It looks so awful? I know, Yeah, yeah.

467
00:25:01,000 --> 00:25:04,679
Speaker 5: Yeah, it's not it's who made the quote about like

468
00:25:05,320 --> 00:25:08,000
Speaker 5: we couldn't like destroy any American cultural landmark because their

469
00:25:08,000 --> 00:25:10,560
Speaker 5: cultural landmarks are like McDonald's and SpongeBob.

470
00:25:11,200 --> 00:25:16,119
Speaker 3: You know, we spread them out like oxygen. Try and

471
00:25:16,200 --> 00:25:18,560
Speaker 3: take us down, try and take it. Yeah, And isn't

472
00:25:18,560 --> 00:25:19,359
Speaker 3: that what's cool?

473
00:25:19,680 --> 00:25:20,080
Speaker 1: Yeah?

474
00:25:20,720 --> 00:25:22,480
Speaker 5: Yeah, if they if they, if we don't get the

475
00:25:22,480 --> 00:25:26,119
Speaker 5: beef's sallow backs, the terrorists one, that's right, right exactly.

476
00:25:26,560 --> 00:25:28,120
Speaker 1: Carmen was something you thinks underrated?

477
00:25:28,640 --> 00:25:33,400
Speaker 4: Oh I think getting your whole face done is so underrated.

478
00:25:33,440 --> 00:25:35,520
Speaker 4: And this is for assist people too. If you if

479
00:25:35,520 --> 00:25:38,240
Speaker 4: you don't like something about your face, go and see

480
00:25:38,240 --> 00:25:39,120
Speaker 4: a plastic surgeon.

481
00:25:39,160 --> 00:25:39,600
Speaker 1: Baby.

482
00:25:39,880 --> 00:25:43,320
Speaker 4: Now, granted, mine was covered by insurance and it did

483
00:25:43,320 --> 00:25:46,160
Speaker 4: cost two hundred thousand dollars for the insurance, not for me,

484
00:25:46,880 --> 00:25:50,840
Speaker 4: but I got a ten hour surgery on the day

485
00:25:50,880 --> 00:25:54,199
Speaker 4: before election day, and Janie came and visited me in

486
00:25:54,200 --> 00:25:56,320
Speaker 4: the hospitals. But the day with me in the hospital

487
00:25:56,359 --> 00:25:59,760
Speaker 4: in fact on election day, and it was just a

488
00:25:59,760 --> 00:26:02,720
Speaker 4: great time. I loved getting surgery. I love being in

489
00:26:02,760 --> 00:26:07,200
Speaker 4: the hospital. I you know, it's great. And I'm the.

490
00:26:07,200 --> 00:26:09,960
Speaker 1: One person who had a good election day. Yeah. Wow,

491
00:26:10,240 --> 00:26:11,440
Speaker 1: horrible election day.

492
00:26:12,200 --> 00:26:15,840
Speaker 4: Yeah, I will say I was watching from my bed

493
00:26:15,880 --> 00:26:17,760
Speaker 4: in the hospital and I was like, you know what

494
00:26:18,080 --> 00:26:18,520
Speaker 4: this is.

495
00:26:18,800 --> 00:26:19,800
Speaker 1: This fucking sucks.

496
00:26:19,840 --> 00:26:23,440
Speaker 4: And I quickly emailed my uh my other surgeon to

497
00:26:23,440 --> 00:26:25,119
Speaker 4: schedule my fucking breast augmentation.

498
00:26:25,840 --> 00:26:28,560
Speaker 5: So I was trying to make her feel better too,

499
00:26:28,800 --> 00:26:31,000
Speaker 5: Like I was like, I brought her some soup, like

500
00:26:31,040 --> 00:26:32,480
Speaker 5: we were hanging out. She was like a little worried

501
00:26:32,480 --> 00:26:34,640
Speaker 5: about it. I was like, you know, I think it's

502
00:26:34,680 --> 00:26:37,080
Speaker 5: going to be close. And this was my opinion for

503
00:26:37,119 --> 00:26:38,639
Speaker 5: a long time, Like, I think it's going to be

504
00:26:38,680 --> 00:26:40,879
Speaker 5: really close, but I think she'll eke it out at

505
00:26:40,880 --> 00:26:43,800
Speaker 5: the end. I even had a kind of fun theory

506
00:26:43,840 --> 00:26:46,960
Speaker 5: in my head that maybe the Democrats would lose the

507
00:26:47,000 --> 00:26:51,480
Speaker 5: popular vote. But when the Electoral College obviously none of this,

508
00:26:51,840 --> 00:26:54,439
Speaker 5: none of this came to be. But I felt like

509
00:26:54,600 --> 00:26:57,840
Speaker 5: bad because, like I she I lied to her.

510
00:26:58,160 --> 00:26:59,679
Speaker 1: Yeah, I told her everything was going to.

511
00:26:59,720 --> 00:27:04,040
Speaker 5: Be okay, and I was just like, I don't know.

512
00:27:04,119 --> 00:27:07,560
Speaker 5: I felt bad because I pay attention to this stuff,

513
00:27:07,600 --> 00:27:10,080
Speaker 5: and I like, I mean not saying Carmen does it,

514
00:27:10,240 --> 00:27:12,639
Speaker 5: but like all of my people that I knew, I

515
00:27:12,960 --> 00:27:13,600
Speaker 5: was trying.

516
00:27:13,320 --> 00:27:15,600
Speaker 1: To like reassure them, like, look, I think she'll eak

517
00:27:15,640 --> 00:27:15,960
Speaker 1: it out.

518
00:27:16,080 --> 00:27:20,520
Speaker 5: I think it's gonna be okay, right, And I was

519
00:27:20,920 --> 00:27:22,439
Speaker 5: not really wrong.

520
00:27:22,800 --> 00:27:27,240
Speaker 1: Came down the road for a couple more years. Literally,

521
00:27:27,240 --> 00:27:28,640
Speaker 1: it's gonna be fine. Guys.

522
00:27:28,880 --> 00:27:31,800
Speaker 3: Trump was so cool the first time was everything.

523
00:27:31,800 --> 00:27:33,840
Speaker 1: He was so dumb. He was so dumb he couldn't

524
00:27:33,840 --> 00:27:37,080
Speaker 1: even do nothing. Oh my god, Late night is about

525
00:27:37,119 --> 00:27:39,280
Speaker 1: to get so funny punk rock.

526
00:27:39,760 --> 00:27:45,240
Speaker 5: We're about to get another American idiot, guys, Like, I

527
00:27:46,400 --> 00:27:49,480
Speaker 5: want to say real quick, I spent election night playing

528
00:27:49,640 --> 00:27:53,080
Speaker 5: a board game called Storm the Capitol with my bandmates.

529
00:27:53,119 --> 00:27:55,240
Speaker 5: We were supposed to be practicing, but I was like, guys,

530
00:27:55,240 --> 00:27:56,080
Speaker 5: I'm too distracted.

531
00:27:56,080 --> 00:27:58,399
Speaker 1: Can we just play this board game? And it's a

532
00:27:58,440 --> 00:28:03,040
Speaker 1: board game like by J six No it was it

533
00:28:03,080 --> 00:28:03,680
Speaker 1: was made by.

534
00:28:05,600 --> 00:28:08,320
Speaker 5: Yeah, no, it was made by like ironic, like lefty

535
00:28:08,440 --> 00:28:11,439
Speaker 5: like podcaster type. It's a very fun board game. It

536
00:28:11,520 --> 00:28:14,240
Speaker 5: shouts out to the Storm the Capitol board game. You

537
00:28:14,320 --> 00:28:21,280
Speaker 5: play it's like the Capitol Police versus. It's like it's

538
00:28:21,280 --> 00:28:25,280
Speaker 5: like an insurrection monopoly mixed with like a Magic the

539
00:28:25,320 --> 00:28:27,119
Speaker 5: Gathering type combat system.

540
00:28:27,440 --> 00:28:28,160
Speaker 1: It's really fun.

541
00:28:28,680 --> 00:28:30,919
Speaker 2: Like, so, then are you as Capitol Police like faced

542
00:28:30,960 --> 00:28:33,360
Speaker 2: with like a card. It's like do you acknowledge your

543
00:28:33,520 --> 00:28:36,920
Speaker 2: inner inclinations to support these people and look the other way?

544
00:28:37,040 --> 00:28:39,280
Speaker 1: Or do you do your job? No, it's more like

545
00:28:39,360 --> 00:28:41,880
Speaker 1: it with Biked Alaska. I have.

546
00:28:42,120 --> 00:28:45,840
Speaker 5: Like the Capitol Police is like the Dungeon Master kind

547
00:28:45,880 --> 00:28:50,120
Speaker 5: of and you control like three different police officers and

548
00:28:50,160 --> 00:28:53,360
Speaker 5: then everyone else is like the the insurrectionists and they

549
00:28:53,360 --> 00:28:59,560
Speaker 5: have to go through flipping desks to find ballats, and

550
00:28:59,720 --> 00:29:02,000
Speaker 5: once they find enough ballots, they have to get to

551
00:29:02,040 --> 00:29:05,360
Speaker 5: the Great Rotunda, climb onto the roof and go and

552
00:29:05,480 --> 00:29:09,520
Speaker 5: meet President Trump for his victory and I'm trying to

553
00:29:09,520 --> 00:29:12,280
Speaker 5: stop that, and you get like card. There's like event

554
00:29:12,360 --> 00:29:15,240
Speaker 5: cards where you have to like sing the national anthem

555
00:29:15,320 --> 00:29:17,840
Speaker 5: and its entirety. There's one that's like a fuck Mary

556
00:29:17,920 --> 00:29:19,800
Speaker 5: kill type thing. The event cards are really fun.

557
00:29:20,000 --> 00:29:22,880
Speaker 1: It's really fun and it's entirety. Like with the slavery verses,

558
00:29:24,040 --> 00:29:25,560
Speaker 1: I don't know, we don't know about that.

559
00:29:25,920 --> 00:29:29,840
Speaker 5: As the dungeon master, when I did that, I well,

560
00:29:29,880 --> 00:29:32,800
Speaker 5: my friend didn't know the national anthem, so I don't

561
00:29:32,800 --> 00:29:34,560
Speaker 5: think he would have known the I don't think he

562
00:29:34,600 --> 00:29:35,120
Speaker 5: would have known.

563
00:29:35,160 --> 00:29:36,160
Speaker 1: The remix of it.

564
00:29:36,200 --> 00:29:37,720
Speaker 2: No, you just feel like that would be like the

565
00:29:37,800 --> 00:29:40,440
Speaker 2: deep cut of that game. It's like, no, the full version.

566
00:29:41,800 --> 00:29:43,920
Speaker 5: Well, if you're playing as Capitol Police, you can. You

567
00:29:44,000 --> 00:29:46,800
Speaker 5: have free will to throw in things like that if

568
00:29:46,800 --> 00:29:47,120
Speaker 5: you want.

569
00:29:47,800 --> 00:29:49,880
Speaker 3: I feel like it's going to be it's gonna have

570
00:29:49,920 --> 00:29:53,560
Speaker 3: the same evolution as the game Monopoly, where like Monopoly

571
00:29:53,640 --> 00:30:00,440
Speaker 3: started as a satire of capitalism, now it's just like, well, yeah, you.

572
00:30:00,640 --> 00:30:05,000
Speaker 5: Yeah, it would be funny seeing conservatives like they're in

573
00:30:05,480 --> 00:30:08,520
Speaker 5: prison playing Startle.

574
00:30:07,600 --> 00:30:12,920
Speaker 3: Together bought by Parker Brothers. There's nothing like the real thing.

575
00:30:14,840 --> 00:30:19,000
Speaker 3: What is something Carmen that you think is overrated.

576
00:30:19,640 --> 00:30:22,320
Speaker 4: Well, I don't think it's going to come to any

577
00:30:22,600 --> 00:30:27,520
Speaker 4: anyone's surprise. But the US, the US sucks. I went

578
00:30:27,640 --> 00:30:31,080
Speaker 4: on I left the country for the first time in October.

579
00:30:31,120 --> 00:30:34,160
Speaker 4: I went two miles of homeland of age Japan.

580
00:30:34,480 --> 00:30:36,120
Speaker 1: I might have to go back with my mom, who

581
00:30:36,160 --> 00:30:37,440
Speaker 1: knows based on what Trump does.

582
00:30:37,840 --> 00:30:40,880
Speaker 4: Yeah, you know what, do it because you can buy

583
00:30:40,880 --> 00:30:43,200
Speaker 4: a really nice house in Japan for not much money,

584
00:30:43,600 --> 00:30:47,120
Speaker 4: which is pretty great. But I'm a total wiaboo now

585
00:30:47,160 --> 00:30:51,240
Speaker 4: because they fucking blew my mind with the public transportation

586
00:30:51,320 --> 00:30:57,240
Speaker 4: over there. Imagine that every city has inner city transportation

587
00:30:57,680 --> 00:31:00,640
Speaker 4: on a train that comes like every two minutes. And

588
00:31:00,920 --> 00:31:03,800
Speaker 4: imagine that you could get on a bullet train and

589
00:31:03,880 --> 00:31:08,040
Speaker 4: go fucking anywhere you want to in the country. And

590
00:31:08,120 --> 00:31:12,320
Speaker 4: imagine that the trains don't smell like piss because.

591
00:31:12,280 --> 00:31:15,960
Speaker 3: They smell like poohto Galaxy Ga.

592
00:31:19,440 --> 00:31:20,800
Speaker 1: Flavor Galaxy.

593
00:31:20,800 --> 00:31:23,520
Speaker 4: But imagine that every train station is a fucking mall

594
00:31:23,760 --> 00:31:28,560
Speaker 4: with public restrooms and like shops and like lockers and

595
00:31:28,640 --> 00:31:30,720
Speaker 4: all of this shit. I'm just like, wow, they are

596
00:31:30,760 --> 00:31:33,880
Speaker 4: like in the year like four thousand and twenty four.

597
00:31:34,400 --> 00:31:37,760
Speaker 3: I feel like you're You're describing so many sci fi

598
00:31:38,160 --> 00:31:41,719
Speaker 3: universes that I've seen, and it's just like, nah, we

599
00:31:41,800 --> 00:31:45,000
Speaker 3: just went to Japan and like show Joe what looks

600
00:31:45,040 --> 00:31:45,480
Speaker 3: like and you.

601
00:31:45,400 --> 00:31:50,600
Speaker 2: Guys are like wow on the train platform.

602
00:31:51,240 --> 00:31:54,560
Speaker 4: Yeah, Like, imagine if we fucking cared enough about our

603
00:31:54,600 --> 00:31:58,480
Speaker 4: own people to do public transportation right like that, it

604
00:31:58,520 --> 00:31:59,280
Speaker 4: would never happen.

605
00:31:59,840 --> 00:32:01,640
Speaker 1: They get to be a fascist country too.

606
00:32:02,160 --> 00:32:10,520
Speaker 4: They I was actually there during the political uh, like

607
00:32:10,600 --> 00:32:14,000
Speaker 4: when the election campaign was kicking off, so I saw

608
00:32:14,040 --> 00:32:17,520
Speaker 4: a bunch of like stump speeches and some of them

609
00:32:17,560 --> 00:32:19,719
Speaker 4: sound I obviously didn't know what they were saying, but

610
00:32:20,040 --> 00:32:25,480
Speaker 4: the the tenor was yes, and I know that they

611
00:32:25,520 --> 00:32:27,520
Speaker 4: do have very nationalists like politics.

612
00:32:27,880 --> 00:32:29,240
Speaker 1: Oh yeah.

613
00:32:29,320 --> 00:32:29,560
Speaker 3: Yeah.

614
00:32:30,000 --> 00:32:32,160
Speaker 2: So it's like even for me, like I love being

615
00:32:32,200 --> 00:32:34,160
Speaker 2: in Japan, but like there's still that part where like

616
00:32:34,280 --> 00:32:38,040
Speaker 2: I'm not really considered Japanese, like broadly in through the

617
00:32:38,080 --> 00:32:42,920
Speaker 2: eyes of like traditional Japanese culture, which fucking sucks because

618
00:32:42,920 --> 00:32:45,680
Speaker 2: I speak Japanese fluently without an accent and people are like,

619
00:32:46,640 --> 00:32:49,800
Speaker 2: where'd you learn how to talk like that? And I'm

620
00:32:49,800 --> 00:32:53,120
Speaker 2: always like, because I'm Japanese, right, You're.

621
00:32:53,040 --> 00:32:55,360
Speaker 5: Like the uh you know those YouTube videos where it's

622
00:32:55,400 --> 00:32:58,440
Speaker 5: like white boy goes to Chinese village, speaks fluent.

623
00:32:58,200 --> 00:33:03,080
Speaker 1: Mandara, and locals like, how'd you do that? Brown skin?

624
00:33:03,360 --> 00:33:04,640
Speaker 1: And I'm like my mother.

625
00:33:05,200 --> 00:33:07,400
Speaker 4: I had several moments where they made fun of me

626
00:33:07,720 --> 00:33:09,880
Speaker 4: for because I tried to speak as much Japanese as

627
00:33:09,880 --> 00:33:12,800
Speaker 4: I possibly could, because I understood that like that's the

628
00:33:12,840 --> 00:33:15,120
Speaker 4: most one of the most respectful things that you can do,

629
00:33:15,640 --> 00:33:18,000
Speaker 4: and I, you know, tried to follow like the customs

630
00:33:18,000 --> 00:33:20,920
Speaker 4: and stuff as best I could. But one time, you know,

631
00:33:20,960 --> 00:33:23,120
Speaker 4: I was like, Ohio, because I'm you know, like to

632
00:33:23,200 --> 00:33:26,920
Speaker 4: the like attendant at the seven eleven, and then the guy,

633
00:33:27,000 --> 00:33:29,520
Speaker 4: the Japanese guy who came after me was like, good morning,

634
00:33:30,080 --> 00:33:32,960
Speaker 4: and I was like, yeah, fun of me.

635
00:33:33,080 --> 00:33:33,520
Speaker 1: Right now.

636
00:33:33,640 --> 00:33:36,920
Speaker 5: I do the same thing when I'm practicing Spanish, Like

637
00:33:36,960 --> 00:33:38,800
Speaker 5: when I'm like working somewhere like with a bunch of

638
00:33:38,840 --> 00:33:42,000
Speaker 5: Spanish people, I'll well, I'll try to like practice my

639
00:33:42,080 --> 00:33:48,720
Speaker 5: Spanish and they'll be like, oh no, it's okay, Like

640
00:33:48,720 --> 00:33:50,440
Speaker 5: like I feel like the only way I could learn

641
00:33:50,560 --> 00:33:53,160
Speaker 5: is if I was like had like a dialogue with someone,

642
00:33:53,280 --> 00:33:55,680
Speaker 5: but no, like they just they don't. I guess it's

643
00:33:55,720 --> 00:33:58,880
Speaker 5: not their emotional labor to teach me Spanish.

644
00:33:58,960 --> 00:34:07,360
Speaker 3: Right, yes, yeah, No, I want to.

645
00:34:07,680 --> 00:34:10,439
Speaker 1: I want to. I want to do it. I want

646
00:34:10,440 --> 00:34:14,680
Speaker 1: to Kiero yo Kiaro to do it. You Carol my practice,

647
00:34:14,719 --> 00:34:20,680
Speaker 1: carve me a spaniol. No, okay, I want to be

648
00:34:20,719 --> 00:34:25,480
Speaker 1: like Denzel Washington and training day right right right, yeah,

649
00:34:25,520 --> 00:34:27,399
Speaker 1: you want to be smooth with it. I get.

650
00:34:29,719 --> 00:34:32,120
Speaker 3: I'll tell you, man, mad somebody smoke PCP.

651
00:34:34,920 --> 00:34:38,400
Speaker 1: You never get a ride with Janey. Want you hit

652
00:34:38,440 --> 00:34:38,920
Speaker 1: this real quick?

653
00:34:38,960 --> 00:34:40,640
Speaker 3: Damn Carmen, I didn't know he got wet.

654
00:34:42,160 --> 00:34:43,920
Speaker 1: Yeah, I'm like, Carmen, that's galaxy.

655
00:34:44,000 --> 00:34:46,279
Speaker 4: That's what she did on the day she came to

656
00:34:46,360 --> 00:34:47,480
Speaker 4: visit me in the hospital.

657
00:34:47,920 --> 00:34:51,200
Speaker 1: I ripped my face off. I was like, I gave

658
00:34:51,200 --> 00:34:52,840
Speaker 1: you the bowl of soup. He has some super like

659
00:34:52,840 --> 00:34:57,360
Speaker 1: oh ship, Carmen. I like to get wet like this soup. No.

660
00:34:57,560 --> 00:34:58,040
Speaker 1: I walked in.

661
00:34:59,200 --> 00:35:01,760
Speaker 5: I walked in there and probably the button that brings

662
00:35:01,800 --> 00:35:04,160
Speaker 5: the nurse and I was like, she's in pain. I

663
00:35:04,239 --> 00:35:06,400
Speaker 5: like took the percocets from her. I was like thanks.

664
00:35:07,040 --> 00:35:09,879
Speaker 5: I walked out, like see you later, Karmen. Good luck

665
00:35:09,960 --> 00:35:10,480
Speaker 5: with face.

666
00:35:14,160 --> 00:35:18,160
Speaker 1: Janie. What's something he thinks overrated? Percocets and galaxy gas. No,

667
00:35:18,200 --> 00:35:18,800
Speaker 1: I'll just kidding.

668
00:35:20,760 --> 00:35:22,359
Speaker 5: I'm gonna say I don't know if you'll talk about

669
00:35:22,360 --> 00:35:27,320
Speaker 5: this yet, but Blue Sky is overrated. The Twitter alternative

670
00:35:27,400 --> 00:35:31,520
Speaker 5: is overrated. And I'm only saying this because I will

671
00:35:31,560 --> 00:35:34,640
Speaker 5: acknowledge it is a lot better than Twitter as a

672
00:35:34,680 --> 00:35:37,680
Speaker 5: social media app because there's you know, you can log

673
00:35:37,719 --> 00:35:40,400
Speaker 5: on see people do all the things Twitter does, and

674
00:35:40,440 --> 00:35:44,359
Speaker 5: there's just like ninety nine percent less little hitler's running

675
00:35:44,400 --> 00:35:48,040
Speaker 5: around and ruining everyone's day. But I see a lot

676
00:35:48,080 --> 00:35:50,960
Speaker 5: of people make kind of like small bean posting about it, like.

677
00:35:50,880 --> 00:35:52,520
Speaker 1: Oh, it's so nice. It's so nice to have a

678
00:35:52,520 --> 00:35:53,480
Speaker 1: little like safe pace.

679
00:35:53,400 --> 00:35:57,560
Speaker 5: Like this, and it's making me feel crazy because have

680
00:35:57,640 --> 00:35:59,839
Speaker 5: we not forgotten that, like social media is just like

681
00:36:00,560 --> 00:36:04,480
Speaker 5: battle Like yeah, like the concept of social media is

682
00:36:04,520 --> 00:36:07,359
Speaker 5: not good. Like every time every second you spend on it,

683
00:36:07,880 --> 00:36:11,359
Speaker 5: you'd be better off suited, like reading a book or

684
00:36:11,440 --> 00:36:12,720
Speaker 5: like like, yeah.

685
00:36:12,640 --> 00:36:14,160
Speaker 1: I don't doing anything else.

686
00:36:14,400 --> 00:36:16,960
Speaker 3: This guy is health food. It's what I'm going to

687
00:36:17,000 --> 00:36:19,839
Speaker 3: be doing instead of spending time with my children. Yeah,

688
00:36:20,080 --> 00:36:23,480
Speaker 3: I George ti Kai's posts are fairly wholesome.

689
00:36:23,640 --> 00:36:27,799
Speaker 5: Yeah, because AOC is here and she yeah, like it's

690
00:36:27,840 --> 00:36:29,840
Speaker 5: just it's I don't want.

691
00:36:29,680 --> 00:36:33,480
Speaker 3: To say it's I am on Blue Sky as an

692
00:36:33,520 --> 00:36:37,040
Speaker 3: alternative to Twitter, but I also have the same It

693
00:36:37,080 --> 00:36:38,680
Speaker 3: was in the running for my over age.

694
00:36:38,719 --> 00:36:40,719
Speaker 1: I know you're going to say that yesterday. I remember that.

695
00:36:40,880 --> 00:36:41,480
Speaker 1: Yeah wow.

696
00:36:41,760 --> 00:36:44,320
Speaker 3: I just there's so much of it as like people

697
00:36:45,239 --> 00:36:48,920
Speaker 3: being and I'm not siding with because I think like

698
00:36:49,040 --> 00:36:51,640
Speaker 3: Nazis are also like coming and being like Blue Sky sucks.

699
00:36:51,680 --> 00:36:54,520
Speaker 3: It's like an echo chamber. It's like, yeah, just spent

700
00:36:54,680 --> 00:36:56,560
Speaker 3: forty four billion dollars making.

701
00:36:56,280 --> 00:36:57,400
Speaker 1: Your own echo chamber.

702
00:36:57,560 --> 00:37:01,480
Speaker 3: So like, but it does just like a lot of

703
00:37:01,520 --> 00:37:05,719
Speaker 3: the content that gets surfaced is people talking about how

704
00:37:05,719 --> 00:37:08,839
Speaker 3: good blue how good it feels to be on Blue Sky. Yeah,

705
00:37:08,920 --> 00:37:10,759
Speaker 3: like bad enough, just like oh, this is what I

706
00:37:10,760 --> 00:37:14,080
Speaker 3: would get on Twitter, except without the Nazis, which is

707
00:37:14,120 --> 00:37:14,920
Speaker 3: what I'm there for.

708
00:37:15,000 --> 00:37:17,000
Speaker 1: I think it's like the difference between like drowning in

709
00:37:17,160 --> 00:37:20,320
Speaker 1: water and drowning in boiling water, where it's like Twitter

710
00:37:20,360 --> 00:37:22,839
Speaker 1: felt like, oh drowning and boiling water is terrible. Yeah,

711
00:37:22,960 --> 00:37:25,320
Speaker 1: so nice to be drowning in irregular water.

712
00:37:27,040 --> 00:37:33,000
Speaker 5: High it's Doom's true. It makes me like, even before

713
00:37:33,120 --> 00:37:36,000
Speaker 5: Elon Musk bought Twitter, you were having like these same

714
00:37:36,080 --> 00:37:39,000
Speaker 5: people being like, oh another day on late Bird app

715
00:37:39,120 --> 00:37:42,040
Speaker 5: hell sites. And it's like you were calling this a

716
00:37:42,160 --> 00:37:47,040
Speaker 5: hell site before, Like now you have another hell site,

717
00:37:47,160 --> 00:37:49,960
Speaker 5: like you have another Like the whole point of Twitter

718
00:37:50,239 --> 00:37:52,879
Speaker 5: is just to like see things that make you kind

719
00:37:52,920 --> 00:37:55,680
Speaker 5: of mad real quick, like to see things that make

720
00:37:55,760 --> 00:37:59,560
Speaker 5: you like disagree, start conversations. And Blue Sky really isn't

721
00:38:00,320 --> 00:38:03,160
Speaker 5: that much different. Like I mean, there's a lot of

722
00:38:03,200 --> 00:38:04,840
Speaker 5: the fun things. There's a lot of people I like

723
00:38:04,960 --> 00:38:06,840
Speaker 5: that are funny. It's a lot of funny jokes. Like

724
00:38:07,320 --> 00:38:11,040
Speaker 5: social media can be like fun, and blue Sky has

725
00:38:11,120 --> 00:38:12,920
Speaker 5: the legs for it to be like fun now that

726
00:38:13,000 --> 00:38:15,600
Speaker 5: it has like people on it. But let's just not

727
00:38:15,800 --> 00:38:19,240
Speaker 5: like kid ourselves, like social media is not like good

728
00:38:19,640 --> 00:38:23,120
Speaker 5: and like making like another one that even though it's

729
00:38:23,280 --> 00:38:27,040
Speaker 5: less you know, overtly hilary, and it's not really like

730
00:38:28,200 --> 00:38:29,040
Speaker 5: good for you.

731
00:38:29,200 --> 00:38:31,400
Speaker 1: Yeah, I like well, And I think the.

732
00:38:31,440 --> 00:38:33,520
Speaker 2: Other part too, is when you really think about it,

733
00:38:34,000 --> 00:38:37,120
Speaker 2: Like I obviously once after the election, I'm like, a, right,

734
00:38:37,160 --> 00:38:39,480
Speaker 2: this shit's fully cooked. But a lot of the thing too,

735
00:38:39,520 --> 00:38:41,120
Speaker 2: I feel like there are a lot of like libs

736
00:38:41,320 --> 00:38:44,840
Speaker 2: who were like don't want to face the Twitter reality

737
00:38:44,920 --> 00:38:46,319
Speaker 2: of it, and they want to go to the Blue

738
00:38:46,360 --> 00:38:49,000
Speaker 2: Sky version of whatever political reality that I want to

739
00:38:49,040 --> 00:38:52,439
Speaker 2: be in. And because the moderation's better, they're interacting less

740
00:38:52,480 --> 00:38:54,320
Speaker 2: with the posts that are like reminding them of like

741
00:38:54,760 --> 00:38:57,960
Speaker 2: how terrible the campaign was and how it failed, and

742
00:38:58,080 --> 00:39:00,279
Speaker 2: you can sort of surround yourself with like other.

743
00:39:00,200 --> 00:39:02,560
Speaker 1: People been like, oh, I mean the Dems did pretty

744
00:39:02,600 --> 00:39:08,279
Speaker 1: good man, for like you think about it with the

745
00:39:08,360 --> 00:39:09,960
Speaker 1: Chenese great idea.

746
00:39:10,640 --> 00:39:12,200
Speaker 2: Yeah, yeah, yeah, but I mean like yeah, for me,

747
00:39:12,360 --> 00:39:14,399
Speaker 2: I think the one good thing is like it does

748
00:39:14,520 --> 00:39:17,359
Speaker 2: feel like if the people I talk to are who

749
00:39:17,440 --> 00:39:20,520
Speaker 2: they are and it's moderated. But again that's a slippery

750
00:39:20,600 --> 00:39:22,719
Speaker 2: slope because you excel you we look like a couple

751
00:39:22,760 --> 00:39:24,759
Speaker 2: of years down the line, and inevitably it's going to

752
00:39:24,800 --> 00:39:26,000
Speaker 2: have the same problems Twitter did.

753
00:39:26,120 --> 00:39:28,000
Speaker 1: Yeah, quite, it is.

754
00:39:28,160 --> 00:39:31,400
Speaker 5: It is like it does feel better, like I like

755
00:39:31,600 --> 00:39:35,400
Speaker 5: as opposed to Twitter. It certainly does feel better not

756
00:39:35,600 --> 00:39:38,600
Speaker 5: having like the blue checks, not having all the gimmick posts,

757
00:39:38,719 --> 00:39:40,920
Speaker 5: not having as much AI slop, and not having to

758
00:39:41,000 --> 00:39:46,240
Speaker 5: deal with again just millions of little fucking hitlers running around.

759
00:39:46,920 --> 00:39:50,719
Speaker 5: But I mean, I don't know, I don't know how

760
00:39:50,800 --> 00:39:54,719
Speaker 5: happy I should really be about that, Like, I don't know, Like,

761
00:39:55,360 --> 00:39:59,719
Speaker 5: and also it's very concerning that like Twitter like one,

762
00:40:00,080 --> 00:40:02,360
Speaker 5: Like it's very concerning that, like Elon Musk, like his

763
00:40:02,600 --> 00:40:05,680
Speaker 5: like whole gambit like that he didn't even want to

764
00:40:05,719 --> 00:40:08,000
Speaker 5: do to begin with that. He tried to wriggle his

765
00:40:08,080 --> 00:40:10,719
Speaker 5: way out of that. It eventually worked. He turned it

766
00:40:10,840 --> 00:40:15,960
Speaker 5: into a right wing media sphere. And I mean, I

767
00:40:16,040 --> 00:40:18,360
Speaker 5: can't I'm not going to confidently say like that like

768
00:40:18,520 --> 00:40:22,160
Speaker 5: swung the election in any way, but like it worked,

769
00:40:22,280 --> 00:40:24,320
Speaker 5: you know, like it like all these other things like

770
00:40:24,400 --> 00:40:28,239
Speaker 5: true social parlor, all those like conservative things didn't work.

771
00:40:28,360 --> 00:40:32,800
Speaker 5: But buying Twitter and transforming it in the way that

772
00:40:32,880 --> 00:40:36,880
Speaker 5: he did obviously had some kind of like net benefit.

773
00:40:37,040 --> 00:40:40,200
Speaker 1: And that is a bit concerning. Like yeah, who's to.

774
00:40:40,239 --> 00:40:42,600
Speaker 5: Say, like I don't know, someone else doesn't come along

775
00:40:42,680 --> 00:40:47,560
Speaker 5: and do this to Facebook meta like Instagram, Like I

776
00:40:47,600 --> 00:40:49,680
Speaker 5: don't know, China, please hold on to TikTok.

777
00:40:51,280 --> 00:40:55,040
Speaker 1: We need you, President G. I'm still in line to

778
00:40:55,160 --> 00:41:02,399
Speaker 1: vote for President G. Stay in life line. Yeah.

779
00:41:02,440 --> 00:41:04,760
Speaker 3: I feel like the tech billionaires might do it themselves.

780
00:41:04,840 --> 00:41:07,720
Speaker 3: They might do it for like Mark Zuckerberg might not need.

781
00:41:07,640 --> 00:41:12,080
Speaker 1: To sell exactly. That's what I'm saying. What it seems

782
00:41:12,120 --> 00:41:15,560
Speaker 1: to just be. Damnit's actually pretty cool.

783
00:41:15,480 --> 00:41:17,160
Speaker 2: He's just doing it so he can keep putting up

784
00:41:17,200 --> 00:41:19,040
Speaker 2: his SoundCloud wrap tracks with t paint.

785
00:41:19,239 --> 00:41:20,799
Speaker 1: That's all like Zuckerberg's does.

786
00:41:22,320 --> 00:41:25,520
Speaker 2: Thanks be like, I don't want to do all that

787
00:41:25,680 --> 00:41:27,359
Speaker 2: fast ship dude. I just kind of want to wear

788
00:41:27,480 --> 00:41:29,919
Speaker 2: chains and kind of let y'all know. I'm I kind

789
00:41:29,920 --> 00:41:31,680
Speaker 2: of low key wish I wish I was a black

790
00:41:31,760 --> 00:41:32,440
Speaker 2: guy in college.

791
00:41:34,080 --> 00:41:35,800
Speaker 5: Sad is it that we were supposed to get the

792
00:41:35,920 --> 00:41:39,040
Speaker 5: like Elon Mark Zuckerberg fight that would have actually been

793
00:41:39,160 --> 00:41:41,160
Speaker 5: like kind of fun and entertaining.

794
00:41:42,680 --> 00:41:46,080
Speaker 1: To Jake Paul Mike Tyson fight. It's not too late, though.

795
00:41:46,120 --> 00:41:48,600
Speaker 2: We are just in like open oligarchy now, So I

796
00:41:48,680 --> 00:41:52,360
Speaker 2: think like maybe we're we as the you know, HOI POLLOI.

797
00:41:52,480 --> 00:41:55,239
Speaker 1: We can we can maybe motivate them to fight each

798
00:41:55,280 --> 00:41:57,280
Speaker 1: other to prove to us who we should follow.

799
00:41:57,680 --> 00:42:02,200
Speaker 3: What happens to feel like Trump's version of Putin's oligarchy

800
00:42:02,680 --> 00:42:06,239
Speaker 3: would be instead of like, God damn, these people have

801
00:42:06,400 --> 00:42:14,120
Speaker 3: the slipperiest balconies at their uh at, they keep falling

802
00:42:14,160 --> 00:42:16,000
Speaker 3: the fuck out, he would just have them like fight

803
00:42:16,120 --> 00:42:18,680
Speaker 3: to the death for his entertainment and the octagon.

804
00:42:19,200 --> 00:42:19,360
Speaker 8: You know.

805
00:42:20,120 --> 00:42:24,640
Speaker 1: It's kind of on Netflix Gladiator glad Jator. Yes, gladiator.

806
00:42:24,719 --> 00:42:27,640
Speaker 1: So all right, let's take another break. We're gonna come

807
00:42:27,680 --> 00:42:29,480
Speaker 1: back and we will hit a couple of news stories.

808
00:42:29,640 --> 00:42:41,560
Speaker 1: We'll be right back and we're back.

809
00:42:41,840 --> 00:42:44,719
Speaker 3: We're back, and we're back, and we are back, and

810
00:42:45,560 --> 00:42:48,439
Speaker 3: we just like to check in with the Democrats, see

811
00:42:48,480 --> 00:42:50,120
Speaker 3: what lessons they are learning.

812
00:42:50,880 --> 00:42:57,080
Speaker 1: I it's not been good. They well, the thing is

813
00:42:57,120 --> 00:42:59,240
Speaker 1: they're cheating because they all get to be on TV.

814
00:42:59,520 --> 00:43:01,600
Speaker 2: Because they on the TV, so then they're able to

815
00:43:01,640 --> 00:43:03,920
Speaker 2: get all their bad takes off on TV, and then

816
00:43:04,000 --> 00:43:06,120
Speaker 2: the Washington Posts and in the New York Times and

817
00:43:06,200 --> 00:43:09,319
Speaker 2: all the other corporate captured media outlets, so we get

818
00:43:09,400 --> 00:43:12,560
Speaker 2: the same bad lessons over and over. You know, there

819
00:43:12,640 --> 00:43:15,560
Speaker 2: there was a you know, obviously, Bernie Sanders has been

820
00:43:15,640 --> 00:43:18,840
Speaker 2: continuing to say like, hey, it's like regular working people

821
00:43:19,000 --> 00:43:21,320
Speaker 2: that like need help and like just give it.

822
00:43:21,520 --> 00:43:23,920
Speaker 1: Give help in a direct way, not to be like,

823
00:43:24,080 --> 00:43:27,920
Speaker 1: what's that guy's fucking problem? I say, can we all agree?

824
00:43:28,200 --> 00:43:29,759
Speaker 1: I mean this deal?

825
00:43:29,920 --> 00:43:32,399
Speaker 2: Well, so then you have people like Dean Phillips who

826
00:43:32,480 --> 00:43:37,480
Speaker 2: tried to you know, eventually challenge the you know, Biden run.

827
00:43:37,560 --> 00:43:40,120
Speaker 2: But anyway, he said, quote, our product is not the

828
00:43:40,200 --> 00:43:43,719
Speaker 2: real problem. Our packaging, our messengers and our distribution is

829
00:43:43,760 --> 00:43:44,400
Speaker 2: a real problem.

830
00:43:44,680 --> 00:43:46,440
Speaker 1: Oh, it's not the products, not the product of the product.

831
00:43:46,640 --> 00:43:50,080
Speaker 2: Then I missed this, but on CNN right after the election,

832
00:43:50,239 --> 00:43:54,400
Speaker 2: like a week after the election, Harris's former comms director

833
00:43:55,239 --> 00:43:58,120
Speaker 2: basically did like the thing where they became like this

834
00:43:58,320 --> 00:44:02,120
Speaker 2: sentient like a sentient coconut twitter tweet and then talked

835
00:44:02,160 --> 00:44:06,200
Speaker 2: out loud on the television. This was his idea for

836
00:44:06,440 --> 00:44:12,760
Speaker 2: what Joe Biden needs to do next, and it's shucking cool.

837
00:44:13,239 --> 00:44:15,000
Speaker 1: Looking for That is my question. I'll start with you.

838
00:44:15,280 --> 00:44:17,319
Speaker 8: Joe Biden has been a phenomenal president. He's lived up

839
00:44:17,320 --> 00:44:18,600
Speaker 8: to so many of the promises he's made.

840
00:44:18,719 --> 00:44:22,040
Speaker 1: Is one promise, Phil, Why is this dude talking like

841
00:44:22,120 --> 00:44:31,040
Speaker 1: a fucking like an auctioneer the gas Yeah, debate club

842
00:44:31,120 --> 00:44:36,880
Speaker 1: type thing. Yeah, let me hit you out with some bullshit.

843
00:44:37,000 --> 00:44:39,040
Speaker 1: Next here, I'll let Jamal Simmons continue.

844
00:44:39,600 --> 00:44:42,319
Speaker 8: Give for Phil being a transitional figure. He could resign

845
00:44:42,360 --> 00:44:45,319
Speaker 8: the presidency in the next thirty days. Make Kamala Harris

846
00:44:45,360 --> 00:44:48,080
Speaker 8: the president of the United States. Give it absolved from

847
00:44:48,160 --> 00:44:51,239
Speaker 8: being able to from having to oversee the January sixth

848
00:44:51,600 --> 00:44:55,279
Speaker 8: transition right of her of her own defeat and it

849
00:44:55,280 --> 00:44:58,319
Speaker 8: would make sure that it would dominate the news at

850
00:44:58,360 --> 00:45:03,880
Speaker 8: a point where Democrats have to learn drama. What I

851
00:45:03,960 --> 00:45:05,839
Speaker 8: want to see is the time, this is the moment

852
00:45:05,880 --> 00:45:08,320
Speaker 8: for us to change the entire perspective.

853
00:45:08,080 --> 00:45:10,319
Speaker 2: Of how democrats And this is now jumped from an

854
00:45:10,360 --> 00:45:12,719
Speaker 2: internet name to a Sunday morning.

855
00:45:14,560 --> 00:45:17,840
Speaker 5: It's very it's very interesting that, like I thought, the

856
00:45:18,000 --> 00:45:20,360
Speaker 5: whole time, it was like the Democrats are the adults

857
00:45:20,400 --> 00:45:23,240
Speaker 5: in the room. The Democrats are like returning to sanity.

858
00:45:23,320 --> 00:45:26,360
Speaker 5: And now it's like we need caddy bitchiness. We need

859
00:45:27,160 --> 00:45:30,759
Speaker 5: we need the soap opera, Like I mean, we need.

860
00:45:30,760 --> 00:45:32,480
Speaker 1: To copy the fascist homework.

861
00:45:32,760 --> 00:45:36,239
Speaker 4: Yeah, what, I agree that we need to change the

862
00:45:36,280 --> 00:45:39,560
Speaker 4: strategy obviously, but drama is not. We don't need House

863
00:45:39,600 --> 00:45:42,719
Speaker 4: of Cards. We need to be playing the same sort

864
00:45:42,719 --> 00:45:45,880
Speaker 4: of dirty games that Republicans are playing, just like when it.

865
00:45:45,960 --> 00:45:51,120
Speaker 2: Gets you nothing, Yes, gets you nothing, But it's drama jack,

866
00:45:51,160 --> 00:45:52,440
Speaker 2: And that's what the Democrats need.

867
00:45:52,520 --> 00:45:54,840
Speaker 1: It's not to fight the status quo in public.

868
00:45:55,239 --> 00:45:58,479
Speaker 2: It's to then just create side shows that distract people

869
00:45:58,520 --> 00:45:59,719
Speaker 2: from class war and.

870
00:45:59,800 --> 00:46:01,560
Speaker 1: Then and then we'll be okay.

871
00:46:02,239 --> 00:46:05,880
Speaker 5: I'll say, if we could have like a leftist version

872
00:46:05,960 --> 00:46:09,800
Speaker 5: of like Marjorie Taylor Green, who just like is always

873
00:46:09,920 --> 00:46:13,720
Speaker 5: like instigating shit, like shit, I don't know that'd be interesting,

874
00:46:13,840 --> 00:46:17,880
Speaker 5: like Marjorie Taylor Green like correct, like I meanly like

875
00:46:17,960 --> 00:46:21,080
Speaker 5: spitting stuff. That's always like because Marjorie Taylor Green is

876
00:46:21,160 --> 00:46:24,160
Speaker 5: like she's always in the news because she's always saying

877
00:46:24,400 --> 00:46:29,399
Speaker 5: crazy provocative shit like I don't know, breaking rules. But yeah,

878
00:46:29,719 --> 00:46:31,400
Speaker 5: the thing about the Democrats is they're not gonna have

879
00:46:31,600 --> 00:46:35,319
Speaker 5: anyone that's gonna say any crazy provocative shit because their

880
00:46:35,360 --> 00:46:38,120
Speaker 5: platform isn't provocative, it's boring.

881
00:46:38,200 --> 00:46:40,480
Speaker 1: It would have to be somebody on the left.

882
00:46:41,239 --> 00:46:44,560
Speaker 4: Even when Sarah McBride, you know, gets banned from using

883
00:46:44,600 --> 00:46:48,360
Speaker 4: the restroom at the Capitol, her her response is just

884
00:46:48,560 --> 00:46:52,000
Speaker 4: to be spineless. And I say, oh, well, we're just

885
00:46:52,120 --> 00:46:55,520
Speaker 4: gonna We're just gonna, you know, I'm just gonna do

886
00:46:55,600 --> 00:46:58,480
Speaker 4: what they say, and you know whatever. It's like, girl,

887
00:46:58,520 --> 00:47:01,439
Speaker 4: you are making thirty five thousand, which is not even

888
00:47:01,480 --> 00:47:04,960
Speaker 4: that much from APAC. Let them pay the fines. Is

889
00:47:05,000 --> 00:47:08,600
Speaker 4: it not fines that you receive for breaking rules at

890
00:47:08,600 --> 00:47:11,200
Speaker 4: the Capitol, Because Marjorie Taylor Green was getting like two

891
00:47:11,239 --> 00:47:13,840
Speaker 4: thousand dollars fines like every day for not wearing a

892
00:47:13,960 --> 00:47:17,000
Speaker 4: mask when the mask mandate was put in place.

893
00:47:17,239 --> 00:47:20,120
Speaker 5: It's like, right, conservatives is generally have more money though,

894
00:47:20,520 --> 00:47:25,359
Speaker 5: like they like that. Well yeah, that was a nice

895
00:47:25,400 --> 00:47:27,600
Speaker 5: weave into that topic. By the way, Well this is

896
00:47:27,680 --> 00:47:30,239
Speaker 5: the thing, right along with all of the stuff that

897
00:47:30,320 --> 00:47:33,239
Speaker 5: you're like, what are they learning? You still keep the

898
00:47:33,280 --> 00:47:36,359
Speaker 5: people are referencing this poll that came out from these

899
00:47:36,440 --> 00:47:40,000
Speaker 5: this democratic consulting firm called Blueprint, where they're like, look,

900
00:47:40,040 --> 00:47:41,839
Speaker 5: we did an exit we did we did some really

901
00:47:41,920 --> 00:47:44,520
Speaker 5: thorough polling with swing state voters, and what we found is, quote,

902
00:47:44,560 --> 00:47:47,360
Speaker 5: their top reason for not choosing Harris was a perception

903
00:47:47,560 --> 00:47:50,640
Speaker 5: that she was quote focused more on cultural issues like

904
00:47:50,680 --> 00:47:53,560
Speaker 5: transgender issues rather than helping the middle class. Again, it

905
00:47:53,640 --> 00:47:55,800
Speaker 5: was the Republicans that ran on this, and if anything,

906
00:47:55,840 --> 00:47:58,320
Speaker 5: the Democrats did a pretty decent job of pretending like

907
00:47:58,360 --> 00:47:58,880
Speaker 5: they never.

908
00:47:58,880 --> 00:48:01,800
Speaker 1: Heard of trans gender people during the campaign.

909
00:48:02,160 --> 00:48:04,600
Speaker 2: So it's like, what is the lesson there, because it's

910
00:48:04,640 --> 00:48:07,080
Speaker 2: not that the Democrats did this, but this is why

911
00:48:07,239 --> 00:48:08,799
Speaker 2: now reflexibly, Democrats are like.

912
00:48:08,960 --> 00:48:10,600
Speaker 1: Well, we don't want to get pulled into a culture

913
00:48:10,640 --> 00:48:12,360
Speaker 1: war here that like, and then they're just gonna make

914
00:48:12,400 --> 00:48:12,880
Speaker 1: it all about this.

915
00:48:13,000 --> 00:48:15,399
Speaker 2: It's like it's not a culture war thing. We're talking

916
00:48:15,400 --> 00:48:17,720
Speaker 2: about rights. And if you talk about it and defend

917
00:48:17,800 --> 00:48:21,320
Speaker 2: it as rights, if you're you're there, it's hard for

918
00:48:21,560 --> 00:48:23,759
Speaker 2: I mean, they'll continue to attack, but you don't have

919
00:48:23,880 --> 00:48:26,799
Speaker 2: to fear what what the what the reaction is going

920
00:48:26,880 --> 00:48:28,880
Speaker 2: to be if you're actually steadfasted and believing like no,

921
00:48:29,000 --> 00:48:30,000
Speaker 2: this has to be defended.

922
00:48:30,360 --> 00:48:34,040
Speaker 5: Andy Bushier is like a democratic governor of Kentucky and

923
00:48:34,160 --> 00:48:37,400
Speaker 5: he won on a protrans ticket by being like, no,

924
00:48:37,600 --> 00:48:39,560
Speaker 5: they're they're all children of God, and I love them

925
00:48:39,640 --> 00:48:41,560
Speaker 5: and they're my constituents and I'm a fight for them

926
00:48:41,680 --> 00:48:42,840
Speaker 5: just like I'll fight for anyone.

927
00:48:42,920 --> 00:48:46,160
Speaker 1: It's like boom easy is that? Like what are you

928
00:48:46,200 --> 00:48:48,480
Speaker 1: gonna do get them to say? Like they're not God's children,

929
00:48:48,680 --> 00:48:50,919
Speaker 1: like they're they're not people like and as.

930
00:48:50,840 --> 00:48:54,480
Speaker 5: Far as they're Sarah fucking as far as Sarah McBride

931
00:48:54,560 --> 00:48:58,320
Speaker 5: is concerned, Like if like you can't fight for like

932
00:48:58,680 --> 00:49:02,799
Speaker 5: your own, like, how are you gonna fight for anyone else?

933
00:49:02,840 --> 00:49:06,320
Speaker 5: Like if I am a trans constituent of that I

934
00:49:06,480 --> 00:49:08,279
Speaker 5: voted for like a trans person and like to be

935
00:49:08,360 --> 00:49:11,640
Speaker 5: in Congress, and you're immediately like can't even like stick

936
00:49:11,719 --> 00:49:12,040
Speaker 5: up for me?

937
00:49:12,160 --> 00:49:14,840
Speaker 1: Like a little bit like the bathroom that's absurd, Like

938
00:49:14,920 --> 00:49:16,600
Speaker 1: I'm not fucking voting for you. Again.

939
00:49:17,200 --> 00:49:19,720
Speaker 2: I've seen a lot of people defend this by saying

940
00:49:19,880 --> 00:49:22,960
Speaker 2: people need to stop attacking Sarah McBride and need to

941
00:49:23,040 --> 00:49:26,000
Speaker 2: be focusing more on Nancy Mace or that, like she's

942
00:49:26,080 --> 00:49:29,920
Speaker 2: not she's actually not caving, she's picking her battles.

943
00:49:30,440 --> 00:49:31,920
Speaker 1: But I also I'm like, I don't know, like I

944
00:49:31,960 --> 00:49:33,320
Speaker 1: don't know where the anger goes to.

945
00:49:33,400 --> 00:49:35,640
Speaker 2: I think there should definitely go to other members of

946
00:49:35,680 --> 00:49:38,279
Speaker 2: the Democratic Party in the House, for the very least,

947
00:49:38,400 --> 00:49:41,520
Speaker 2: not sticking up for someone that is in their party

948
00:49:41,960 --> 00:49:44,480
Speaker 2: and is on the other end of bullying. But yeah,

949
00:49:44,560 --> 00:49:47,160
Speaker 2: I totally get though too, to sort of kind of

950
00:49:47,239 --> 00:49:49,560
Speaker 2: take it, because the one takeaway you see sort of

951
00:49:49,760 --> 00:49:52,640
Speaker 2: is the mainstreaming of this has been don't let the

952
00:49:52,719 --> 00:49:56,520
Speaker 2: Republicans then pull us into another battle over transgender rights,

953
00:49:56,880 --> 00:49:58,760
Speaker 2: and that's the thing we want to avoid.

954
00:49:58,800 --> 00:50:01,280
Speaker 1: If I was that's not the lesson again.

955
00:50:01,920 --> 00:50:03,920
Speaker 5: If I was Sarah McBride, I would just be like,

956
00:50:04,280 --> 00:50:07,400
Speaker 5: why are we talking about where I'm peeing? Like are

957
00:50:07,440 --> 00:50:10,080
Speaker 5: you fucking kidding me right now? Like that, like there's

958
00:50:10,360 --> 00:50:13,560
Speaker 5: so much like immediately just pivot immediately, just pivot to

959
00:50:13,719 --> 00:50:17,520
Speaker 5: every other single issue in the world that matters way

960
00:50:17,560 --> 00:50:22,600
Speaker 5: more to people than where a congresswoman is peeing in

961
00:50:22,719 --> 00:50:26,560
Speaker 5: the floors of Congress. That is absolutely ridiculous, And this

962
00:50:26,680 --> 00:50:27,600
Speaker 5: has been happening.

963
00:50:28,960 --> 00:50:31,239
Speaker 2: She's not the only she's not the first transgender person

964
00:50:31,239 --> 00:50:34,440
Speaker 2: who's a bathroom in the capitol, right, yeah, real here, So.

965
00:50:34,760 --> 00:50:37,359
Speaker 1: Like it's there were some on January sixth, I had

966
00:50:37,400 --> 00:50:38,240
Speaker 1: to use the bathroom.

967
00:50:38,280 --> 00:50:41,279
Speaker 5: Man, Oh I'm sure, yeah, yeah, So there were some

968
00:50:41,480 --> 00:50:44,440
Speaker 5: that used that there was trans people in Nancy Pelosi's office,

969
00:50:44,520 --> 00:50:46,680
Speaker 5: so taking beeing a carpet.

970
00:50:47,160 --> 00:50:48,880
Speaker 2: When you look at this all though, too, it's like

971
00:50:49,360 --> 00:50:50,840
Speaker 2: there was enough. There was an op beed in the

972
00:50:51,000 --> 00:50:54,680
Speaker 2: Washington Post that was saying that the basically the crux

973
00:50:54,719 --> 00:50:58,480
Speaker 2: of it was Biden needs to pardon Trump so America

974
00:50:58,640 --> 00:51:02,080
Speaker 2: can like fully heel and unify. This came out on Monday,

975
00:51:02,440 --> 00:51:04,080
Speaker 2: and then you have other people. I saw there's like

976
00:51:04,120 --> 00:51:07,239
Speaker 2: another section where one of these opinion writers or like

977
00:51:07,400 --> 00:51:10,640
Speaker 2: media reporters at the Washington Post as like like AMA

978
00:51:10,800 --> 00:51:15,120
Speaker 2: basically with commentators, and this person got so upset when

979
00:51:15,160 --> 00:51:17,840
Speaker 2: a reader asked, like what's going on, Like, you know,

980
00:51:18,320 --> 00:51:21,440
Speaker 2: the The Washington Post feels like it's just employing quote

981
00:51:21,480 --> 00:51:23,319
Speaker 2: GOP enablers and apologists.

982
00:51:23,640 --> 00:51:24,960
Speaker 1: And this guy goes off like I.

983
00:51:25,080 --> 00:51:27,320
Speaker 2: Completely disagree with that characterization of what's happening with the

984
00:51:27,360 --> 00:51:27,919
Speaker 2: Washington Post.

985
00:51:28,840 --> 00:51:31,320
Speaker 4: It's like the meme of the CIA agent like typing

986
00:51:31,400 --> 00:51:34,680
Speaker 4: up like, right, Joe Biden needs to pardon Trump, so the.

987
00:51:36,760 --> 00:51:40,759
Speaker 3: Okay, But see, these are conversations that we could not

988
00:51:41,000 --> 00:51:44,719
Speaker 3: be having if he would just step down, bring Kamala in.

989
00:51:45,080 --> 00:51:49,120
Speaker 1: Everybody be like whoa, and then we'd stop talking about

990
00:51:49,160 --> 00:51:51,160
Speaker 1: how they just fucked up that election. And I don't

991
00:51:51,200 --> 00:51:52,640
Speaker 1: think that is a funny idea.

992
00:51:53,560 --> 00:51:59,160
Speaker 3: It really feels like that is the most kind of

993
00:51:59,200 --> 00:52:05,000
Speaker 3: straightforward illustration I've seen yet of them just being like, well,

994
00:52:05,480 --> 00:52:08,480
Speaker 3: why don't we be talking about anything except for what

995
00:52:08,640 --> 00:52:11,040
Speaker 3: we just did and how we just ran that campaign?

996
00:52:11,200 --> 00:52:15,799
Speaker 3: What about if we were talking about this, right, you.

997
00:52:15,800 --> 00:52:16,200
Speaker 1: Know what else?

998
00:52:16,239 --> 00:52:18,560
Speaker 5: This crazy little story from this week. I didn't like

999
00:52:18,680 --> 00:52:21,880
Speaker 5: watch it, but there was like the interview with Bill Clinton,

1000
00:52:22,440 --> 00:52:25,400
Speaker 5: and it's like, I mean, I know Clinton like won

1001
00:52:25,520 --> 00:52:27,960
Speaker 5: some elections. I want to get to other things about him,

1002
00:52:28,000 --> 00:52:30,560
Speaker 5: but like it's just weird to me, how like all

1003
00:52:30,640 --> 00:52:35,000
Speaker 5: of these people like like CNN, like Dana Bash will

1004
00:52:35,040 --> 00:52:38,000
Speaker 5: be like interviewing people who have like never won anything

1005
00:52:38,040 --> 00:52:40,239
Speaker 5: in their lives and they get on there and they're like, well,

1006
00:52:40,280 --> 00:52:41,920
Speaker 5: here's what the Democrats need to do to win.

1007
00:52:42,239 --> 00:52:44,200
Speaker 1: It's like, yeah, this is what do we say? And

1008
00:52:44,320 --> 00:52:44,799
Speaker 1: also like.

1009
00:52:46,320 --> 00:52:48,560
Speaker 5: It's truly crazy to me how like they could have

1010
00:52:48,719 --> 00:52:51,960
Speaker 5: like hit Trump on like I don't know, being like

1011
00:52:52,080 --> 00:52:55,040
Speaker 5: friends with like Epstein or something, but they can't know

1012
00:52:55,200 --> 00:52:58,880
Speaker 5: when they're bringing They're wheeling Bill Clinton out everywhere to

1013
00:52:59,080 --> 00:53:00,399
Speaker 5: like like talk to him.

1014
00:53:00,520 --> 00:53:03,799
Speaker 2: And then like shape pro Palestinians like activists too at

1015
00:53:03,840 --> 00:53:04,279
Speaker 2: the same time.

1016
00:53:04,320 --> 00:53:06,160
Speaker 1: Oh yeah, thats and.

1017
00:53:06,320 --> 00:53:08,279
Speaker 4: Some merch with I'm speaking on it.

1018
00:53:09,320 --> 00:53:11,720
Speaker 1: The other thing. The other thing too is she lost

1019
00:53:11,840 --> 00:53:12,880
Speaker 1: to the working class.

1020
00:53:13,239 --> 00:53:16,320
Speaker 4: And you know, even Bill Clinton had a great appeal

1021
00:53:16,360 --> 00:53:19,080
Speaker 4: to the working class that she didn't have. And I

1022
00:53:19,160 --> 00:53:21,960
Speaker 4: think it's like due to this like old style of

1023
00:53:22,080 --> 00:53:25,320
Speaker 4: like well let's have Beyonce, you know, let's pay Oprah,

1024
00:53:25,520 --> 00:53:27,040
Speaker 4: let's pay like all these queen.

1025
00:53:28,400 --> 00:53:28,600
Speaker 1: Yeah.

1026
00:53:31,960 --> 00:53:33,960
Speaker 5: No, there was like don't I forgot who said it,

1027
00:53:34,040 --> 00:53:36,200
Speaker 5: But there was like someone on like CNN or something

1028
00:53:36,239 --> 00:53:38,120
Speaker 5: who was like, I don't know how we lost this.

1029
00:53:38,280 --> 00:53:41,920
Speaker 5: She had a great campaign Queen Latifa never endorses anyone,

1030
00:53:42,880 --> 00:53:45,480
Speaker 5: and Queen Latifa endorsed Comalu.

1031
00:53:45,160 --> 00:53:48,360
Speaker 2: Because it's such a flattening of like marginalized people and

1032
00:53:48,560 --> 00:53:50,960
Speaker 2: working people where it's just like, I don't know, like

1033
00:53:51,080 --> 00:53:54,840
Speaker 2: if we get a drag queen, that's an LGBTQ vote locked, Okay,

1034
00:53:55,640 --> 00:53:58,520
Speaker 2: do we get Queen Latifa that's black women vote locked?

1035
00:53:58,760 --> 00:54:02,040
Speaker 1: Can we get out know Bob the builder? Than great,

1036
00:54:02,239 --> 00:54:04,879
Speaker 1: that's the blue collar vote, construction worker vote.

1037
00:54:04,880 --> 00:54:08,560
Speaker 3: Reading all those abstractions instead of as people who because

1038
00:54:08,560 --> 00:54:11,720
Speaker 3: it's voting and know exactly what the fuck you're doing.

1039
00:54:11,719 --> 00:54:12,360
Speaker 1: Because you hear it.

1040
00:54:12,480 --> 00:54:15,279
Speaker 2: Like there have been other uh, like Congress people have

1041
00:54:15,320 --> 00:54:16,839
Speaker 2: been like, you know, we just got to listen to more.

1042
00:54:16,920 --> 00:54:18,600
Speaker 2: There are so many people who you know, on the

1043
00:54:18,680 --> 00:54:21,319
Speaker 2: streets telling us that we got to really be talking

1044
00:54:21,360 --> 00:54:23,319
Speaker 2: to the people on the streets here and what they're

1045
00:54:23,360 --> 00:54:25,719
Speaker 2: going to. It's like the fact that you're seeing this

1046
00:54:26,000 --> 00:54:29,040
Speaker 2: now you're like, WHOA, I guess, I guess there's people

1047
00:54:29,080 --> 00:54:32,720
Speaker 2: who actually know these quote unquote working people we always

1048
00:54:32,760 --> 00:54:35,560
Speaker 2: talk about as like a fantasy person. They're saying, we're

1049
00:54:35,600 --> 00:54:38,920
Speaker 2: all we're way off. That's weird, because I swear to

1050
00:54:39,000 --> 00:54:41,239
Speaker 2: God I used to work at McDonald's like forty seven

1051
00:54:41,360 --> 00:54:44,840
Speaker 2: years ago, right, but we stop work at McDonald's just

1052
00:54:44,880 --> 00:54:46,800
Speaker 2: a few months ago, So yeah, thank you.

1053
00:54:47,360 --> 00:54:49,480
Speaker 4: And apparently there's a lot of people that thought that, Like,

1054
00:54:49,680 --> 00:54:51,160
Speaker 4: you know, a lot of people voted for Trump because

1055
00:54:51,160 --> 00:54:53,040
Speaker 4: they thought there was going to be more stimulus checks

1056
00:54:53,160 --> 00:54:56,400
Speaker 4: even just the optics of that, like why not, I

1057
00:54:56,480 --> 00:54:59,399
Speaker 4: don't know, why not just be like, there ain't gonna

1058
00:54:59,400 --> 00:55:02,680
Speaker 4: be anymore stuf melas checks, y'all vote for Kamala yea.

1059
00:55:02,840 --> 00:55:04,759
Speaker 2: Like they're lying because they want us to think. I mean,

1060
00:55:04,840 --> 00:55:06,839
Speaker 2: this is how like I think so many people are.

1061
00:55:07,320 --> 00:55:09,720
Speaker 2: They were you know, kind of trained through their media

1062
00:55:09,760 --> 00:55:11,800
Speaker 2: diet to either believe it or not or be like

1063
00:55:11,840 --> 00:55:14,320
Speaker 2: well who's paying for it or some version of that,

1064
00:55:14,520 --> 00:55:16,760
Speaker 2: to never be like, oh, that could be good for everyone.

1065
00:55:17,440 --> 00:55:22,160
Speaker 5: Yeah, it took me like when they first did like

1066
00:55:22,239 --> 00:55:24,800
Speaker 5: the whole switcheroo, and there was like a lot of

1067
00:55:24,880 --> 00:55:27,440
Speaker 5: momentum and things were like actually like looking kind of

1068
00:55:27,480 --> 00:55:28,759
Speaker 5: good for like the first time.

1069
00:55:29,640 --> 00:55:31,000
Speaker 1: Yeah, things were looking pretty.

1070
00:55:31,280 --> 00:55:34,000
Speaker 5: They're looking pretty in her favor, And it took me

1071
00:55:34,080 --> 00:55:37,839
Speaker 5: a while to kind of like pinpoint like what they

1072
00:55:37,920 --> 00:55:40,560
Speaker 5: were doing because like after like the DNC was like

1073
00:55:40,600 --> 00:55:44,200
Speaker 5: when they really started like right wing pivoting, you know,

1074
00:55:44,440 --> 00:55:48,360
Speaker 5: talking about like immigrations, sounding like Republicans exactly.

1075
00:55:48,320 --> 00:55:50,960
Speaker 4: The most lethal military in the in the world.

1076
00:55:51,120 --> 00:55:53,200
Speaker 1: Yeah, oh my god. Yeah yeah.

1077
00:55:53,280 --> 00:55:56,200
Speaker 5: If yeah, if trans people are out loud out of existence,

1078
00:55:56,239 --> 00:55:58,040
Speaker 5: I would follow with the law like stuff like that.

1079
00:55:58,640 --> 00:55:58,799
Speaker 1: Yeah.

1080
00:55:59,560 --> 00:56:03,600
Speaker 5: I feel like the I I feel like there was

1081
00:56:03,840 --> 00:56:08,239
Speaker 5: more strategy there than I realized, like I thought. I mean, one,

1082
00:56:08,280 --> 00:56:10,080
Speaker 5: I do think it is principled. I do think they

1083
00:56:10,120 --> 00:56:13,680
Speaker 5: are a right wing leaning party. But two, I think

1084
00:56:13,800 --> 00:56:18,160
Speaker 5: that the calculus was like the Democrats are there, like

1085
00:56:18,280 --> 00:56:21,520
Speaker 5: the people that all saw January sixth happen, They're not

1086
00:56:21,719 --> 00:56:23,680
Speaker 5: going to vote for Trump. All the people that voted

1087
00:56:23,719 --> 00:56:26,520
Speaker 5: Biden are going to vote for Kamala and then some

1088
00:56:26,800 --> 00:56:29,879
Speaker 5: because like it's just it, they just will like it's

1089
00:56:30,040 --> 00:56:33,320
Speaker 5: it's a lot. So they didn't need to do any

1090
00:56:33,560 --> 00:56:35,759
Speaker 5: type or they felt they didn't need to do any

1091
00:56:35,880 --> 00:56:37,600
Speaker 5: type of left.

1092
00:56:37,400 --> 00:56:40,200
Speaker 1: Word populous like capitulating.

1093
00:56:40,360 --> 00:56:43,960
Speaker 5: Yeah, that's why they started like employing all these like

1094
00:56:44,040 --> 00:56:47,359
Speaker 5: Republican tactics, being like, well, maybe we can poach off

1095
00:56:47,400 --> 00:56:51,160
Speaker 5: some of these Republican voters. And just like every single

1096
00:56:51,280 --> 00:56:54,040
Speaker 5: other time Democrats have ever fucking tried to do.

1097
00:56:54,120 --> 00:56:58,080
Speaker 1: This every single time, it didn't work. Those exist and

1098
00:56:58,239 --> 00:56:59,880
Speaker 1: those Republican voters don't exit.

1099
00:57:00,480 --> 00:57:03,120
Speaker 5: There was maybe and honestly, like looking back, what Trump

1100
00:57:03,160 --> 00:57:09,359
Speaker 5: said was legitimately a lot smarter because his popularity had

1101
00:57:09,440 --> 00:57:12,680
Speaker 5: also reached a ceiling. There's no one who like everyone

1102
00:57:12,719 --> 00:57:15,839
Speaker 5: has made up their mind on Trump like ten years ago,

1103
00:57:16,560 --> 00:57:20,760
Speaker 5: and the only people conceivably who would like be turned

1104
00:57:20,800 --> 00:57:23,840
Speaker 5: to vote for him is young people that listen to

1105
00:57:23,880 --> 00:57:27,640
Speaker 5: fuck that watched like Aiden Ross and don't really remember

1106
00:57:27,720 --> 00:57:31,240
Speaker 5: what twenty sixteen was like because they were watching Cocoa Melon. Yeah,

1107
00:57:31,400 --> 00:57:35,800
Speaker 5: and now like and I remember thinking at the time, like,

1108
00:57:35,880 --> 00:57:37,280
Speaker 5: I don't know if this will pay off. I don't

1109
00:57:37,280 --> 00:57:39,000
Speaker 5: know if these people will actually go out and vote,

1110
00:57:39,280 --> 00:57:43,200
Speaker 5: And they fucking did because like Kamala did not have

1111
00:57:43,480 --> 00:57:46,120
Speaker 5: like she had people she could have gained that she

1112
00:57:46,520 --> 00:57:49,880
Speaker 5: assumed were already in the bag, and Trump had people

1113
00:57:49,960 --> 00:57:53,560
Speaker 5: to gain that were easily swayable, and he went for

1114
00:57:53,640 --> 00:57:57,120
Speaker 5: the people that were easily slayable and they were easily swayed, Like, yeah,

1115
00:57:57,440 --> 00:57:58,800
Speaker 5: she needed to do it for the people who were

1116
00:57:58,840 --> 00:58:00,480
Speaker 5: easily slayable.

1117
00:58:00,640 --> 00:58:00,920
Speaker 1: Thank you.

1118
00:58:02,240 --> 00:58:02,439
Speaker 8: Yeah.

1119
00:58:03,840 --> 00:58:04,040
Speaker 1: Yeah.

1120
00:58:04,040 --> 00:58:06,200
Speaker 3: The Rogan thing, I mean I feel like it gets

1121
00:58:06,800 --> 00:58:11,640
Speaker 3: it also ties into the central problem that I feel

1122
00:58:11,680 --> 00:58:14,480
Speaker 3: like her campaign had, which was that it it just

1123
00:58:14,600 --> 00:58:19,200
Speaker 3: seemed like they were saying whatever they needed to in

1124
00:58:19,320 --> 00:58:21,440
Speaker 3: the moment. They had no there was no there there.

1125
00:58:21,680 --> 00:58:24,200
Speaker 3: They were just saying whatever they needed to say in

1126
00:58:24,280 --> 00:58:27,400
Speaker 3: the moment. And she wasn't going to go on a

1127
00:58:27,640 --> 00:58:32,040
Speaker 3: like full long interview no matter how, whether it be

1128
00:58:32,160 --> 00:58:35,240
Speaker 3: with somebody who believes in dragons or not. And like,

1129
00:58:35,840 --> 00:58:39,120
Speaker 3: you know, she she just had to be guarded in

1130
00:58:39,240 --> 00:58:41,760
Speaker 3: that way. And I think that's like ultimating a.

1131
00:58:41,920 --> 00:58:44,760
Speaker 1: Terrible advice from her inner circle. You know, your brother

1132
00:58:44,800 --> 00:58:47,760
Speaker 1: in law is like has the uber boot down their throat.

1133
00:58:47,800 --> 00:58:49,720
Speaker 1: They're like, don't piss off the companies.

1134
00:58:50,240 --> 00:58:50,320
Speaker 3: Right.

1135
00:58:50,400 --> 00:58:50,560
Speaker 4: Yeah.

1136
00:58:50,920 --> 00:58:52,959
Speaker 5: I don't know if her going on Rogan would have helped,

1137
00:58:53,000 --> 00:58:55,400
Speaker 5: but I do think if Tim Wallas went on Rogan

1138
00:58:55,440 --> 00:58:56,080
Speaker 5: it would have helped.

1139
00:58:56,440 --> 00:58:57,800
Speaker 1: Yeah. I think I think he would have been a

1140
00:58:58,160 --> 00:58:58,960
Speaker 1: much better life.

1141
00:58:58,960 --> 00:59:02,120
Speaker 4: I mean, she went on Call Call her Daddy. I

1142
00:59:02,240 --> 00:59:05,400
Speaker 4: spent like how much on the set alone, And.

1143
00:59:05,440 --> 00:59:07,720
Speaker 5: It's just like at the views on that, it is bad,

1144
00:59:07,960 --> 00:59:10,200
Speaker 5: Like not a lot of people have watched that, Like no,

1145
00:59:10,520 --> 00:59:15,320
Speaker 5: like way more people watch, Like especially if you take cumulatively,

1146
00:59:15,480 --> 00:59:19,160
Speaker 5: like Trump going on like Aiden Ross the Milk Boys,

1147
00:59:19,440 --> 00:59:24,760
Speaker 5: fucking Joe Rogan, like uh Logan Paul's podcast, Like if you.

1148
00:59:24,840 --> 00:59:27,520
Speaker 1: Take all of that, that's a lot of you, that's

1149
00:59:27,560 --> 00:59:28,840
Speaker 1: a lot of content.

1150
00:59:29,080 --> 00:59:33,480
Speaker 5: Like that's a lot of fucking people he's reaching and yeah,

1151
00:59:33,640 --> 00:59:37,200
Speaker 5: call her daddy just does not have the juice like that.

1152
00:59:37,360 --> 00:59:38,040
Speaker 1: It's crazy.

1153
00:59:38,760 --> 00:59:40,080
Speaker 5: And I don't I don't think if she went on

1154
00:59:40,200 --> 00:59:41,760
Speaker 5: Rogan it would have been I don't think that would

1155
00:59:41,800 --> 00:59:42,880
Speaker 5: have moved the needle because.

1156
00:59:43,240 --> 00:59:46,280
Speaker 2: Would have helped because I want Yeah, that's not that's

1157
00:59:46,320 --> 00:59:48,480
Speaker 2: not where that's not where you're gonna find your gains.

1158
00:59:48,720 --> 00:59:51,680
Speaker 2: Like to your point, Janey, the calculus was, we're we've

1159
00:59:52,520 --> 00:59:55,240
Speaker 2: definitely are going to turn off progressives and people to

1160
00:59:55,360 --> 00:59:58,240
Speaker 2: the left of the party, but we can we can

1161
00:59:58,400 --> 01:00:00,840
Speaker 2: wake up for that by like really digging into the

1162
01:00:00,880 --> 01:00:03,440
Speaker 2: status quote and then appealing to like these nicky Hayley

1163
01:00:03,840 --> 01:00:07,560
Speaker 2: fucking mystery voters. And they thought there was so much

1164
01:00:07,720 --> 01:00:10,040
Speaker 2: never Trumper stuff that those are the people that were

1165
01:00:10,080 --> 01:00:13,160
Speaker 2: on the table. They were not, And it was all again,

1166
01:00:13,240 --> 01:00:16,480
Speaker 2: it's because your your product is fundamentally flawed for the

1167
01:00:16,600 --> 01:00:19,600
Speaker 2: era that we're in, which is so many people are suffering,

1168
01:00:19,840 --> 01:00:21,760
Speaker 2: and all you did was make it seem like you

1169
01:00:21,840 --> 01:00:23,880
Speaker 2: were there for the status quo and that's all.

1170
01:00:24,040 --> 01:00:27,240
Speaker 1: Like that the perception of that was so damaging. Yeah,

1171
01:00:27,720 --> 01:00:29,120
Speaker 1: and yeah, I would.

1172
01:00:29,000 --> 01:00:32,640
Speaker 5: Be like even just the littlest bit charitable. I would

1173
01:00:32,720 --> 01:00:35,080
Speaker 5: say that one thing I kind of do understand. I

1174
01:00:35,200 --> 01:00:37,320
Speaker 5: don't care if this fixies sound like a lip is

1175
01:00:37,400 --> 01:00:42,520
Speaker 5: like January sixth, like that is crazy that he did that,

1176
01:00:42,720 --> 01:00:45,840
Speaker 5: and one like it really is crazy that like he

1177
01:00:46,040 --> 01:00:49,640
Speaker 5: fucking did that shit and then won the next selection like.

1178
01:00:50,200 --> 01:00:52,480
Speaker 4: The and then Biden is welcoming him in the opal

1179
01:00:52,520 --> 01:00:54,200
Speaker 4: often I like hanging.

1180
01:00:53,920 --> 01:00:56,280
Speaker 5: Out like it is crazy to me that like that

1181
01:00:56,680 --> 01:01:02,280
Speaker 5: was not an instantly disqualifying event for so many people.

1182
01:01:03,080 --> 01:01:07,120
Speaker 5: But I think the fact that it's not an instantly

1183
01:01:07,200 --> 01:01:11,040
Speaker 5: disqualifying thing for so many people is way more indicative

1184
01:01:11,280 --> 01:01:15,240
Speaker 5: of the Democratic Party and their messaging and how much

1185
01:01:15,400 --> 01:01:18,440
Speaker 5: they totally fucking suck and drop the ball than it

1186
01:01:18,640 --> 01:01:19,680
Speaker 5: is on But.

1187
01:01:19,720 --> 01:01:22,320
Speaker 2: They they spent so many months telling working people how

1188
01:01:22,440 --> 01:01:24,600
Speaker 2: stupid they are because they didn't realize how good the

1189
01:01:24,680 --> 01:01:27,640
Speaker 2: economy is, like they wasted so much oxygen tum like

1190
01:01:27,840 --> 01:01:29,640
Speaker 2: they got to know how good it comes, Like no

1191
01:01:29,760 --> 01:01:31,920
Speaker 2: it's not dude, you're you're not your Your metrics are

1192
01:01:32,000 --> 01:01:34,480
Speaker 2: so weird. It's good for people who own stock, it's

1193
01:01:34,560 --> 01:01:37,000
Speaker 2: not for good not good for people who are on wages.

1194
01:01:37,720 --> 01:01:39,520
Speaker 1: And that's the thing you're not anyway.

1195
01:01:39,640 --> 01:01:43,200
Speaker 2: So we'll see now though, well we'll see where where

1196
01:01:43,240 --> 01:01:44,520
Speaker 2: the toilet bowl takes us.

1197
01:01:44,760 --> 01:01:45,720
Speaker 1: But feel like they're.

1198
01:01:47,320 --> 01:01:50,760
Speaker 3: They still got a good answer come in. It's just

1199
01:01:50,920 --> 01:01:53,320
Speaker 3: they're a little confused right now. They've been spun around

1200
01:01:53,360 --> 01:01:56,240
Speaker 3: by the election. They're gonna come out and not not

1201
01:01:56,400 --> 01:01:59,560
Speaker 3: look like they just played spinny bet uh. Carmen Janey,

1202
01:01:59,640 --> 01:02:03,560
Speaker 3: what having both of you as always on the daily?

1203
01:02:04,560 --> 01:02:06,480
Speaker 3: Where can people find you?

1204
01:02:06,640 --> 01:02:08,600
Speaker 1: Guys? Follow you all that good stuff.

1205
01:02:08,960 --> 01:02:12,520
Speaker 4: I am on Instagram at the Carmen Laurent and I

1206
01:02:12,600 --> 01:02:16,600
Speaker 4: have a podcast called Diva Down Podcast. We rebranded from

1207
01:02:16,640 --> 01:02:18,960
Speaker 4: the last time I was on here. Janie's going to

1208
01:02:19,000 --> 01:02:20,880
Speaker 4: be my guest on Thursday, so tune in to hear

1209
01:02:21,000 --> 01:02:23,760
Speaker 4: Janie talk about how she was canceled by the amateur

1210
01:02:23,840 --> 01:02:24,720
Speaker 4: wrestling community.

1211
01:02:28,040 --> 01:02:31,320
Speaker 1: It's a tail it's a tail on to your seat

1212
01:02:31,440 --> 01:02:34,080
Speaker 1: for that one. Yeah, and that's it for me. What

1213
01:02:34,160 --> 01:02:34,720
Speaker 1: about you, Jane?

1214
01:02:35,680 --> 01:02:38,480
Speaker 5: You can find me on Twitter and Blue Sky at

1215
01:02:38,680 --> 01:02:41,760
Speaker 5: Wife Sucker and you can find me on Instagram at

1216
01:02:41,880 --> 01:02:46,360
Speaker 5: Janey Underscore Danger. Also Janie Danger dot com. If you

1217
01:02:46,400 --> 01:02:48,520
Speaker 5: want to look at some like merch and like other

1218
01:02:48,600 --> 01:02:49,440
Speaker 5: ship there.

1219
01:02:49,520 --> 01:02:51,560
Speaker 1: She's got some really cute merch. Thank you.

1220
01:02:51,960 --> 01:02:52,080
Speaker 4: Uh.

1221
01:02:52,360 --> 01:02:56,200
Speaker 5: And most importantly, if I have any listeners in the

1222
01:02:56,600 --> 01:03:00,520
Speaker 5: New York City Brooklyn area, we are playing a show

1223
01:03:00,680 --> 01:03:04,840
Speaker 5: on December first at Heart Bar with Alex Walton and

1224
01:03:05,120 --> 01:03:08,200
Speaker 5: Holy Wisdom LLC. I'm so excited to be playing with

1225
01:03:08,240 --> 01:03:10,720
Speaker 5: Alex Walton. She's so proud of you, so fucking sick

1226
01:03:10,880 --> 01:03:13,440
Speaker 5: shouts out to her. We're very, very, very excited to

1227
01:03:13,480 --> 01:03:15,560
Speaker 5: be playing New York City for the first time. So

1228
01:03:15,600 --> 01:03:17,480
Speaker 5: if you're in the New York area and you've been

1229
01:03:17,520 --> 01:03:21,200
Speaker 5: wanting to see a Ji Danger show, it's gonna whip

1230
01:03:21,760 --> 01:03:25,960
Speaker 5: fucking ass. So please come out to Heartbar on December

1231
01:03:26,520 --> 01:03:29,680
Speaker 5: first to see that and stream East Atlanta Sober Yeah

1232
01:03:29,720 --> 01:03:30,160
Speaker 5: and stream my.

1233
01:03:30,280 --> 01:03:36,400
Speaker 1: Music Janie Danger, Jay and I Danger Danger. Is there

1234
01:03:36,440 --> 01:03:38,440
Speaker 1: worka media you'll enjoying?

1235
01:03:38,760 --> 01:03:41,880
Speaker 4: Oh my god, Well, I heard y'all already talked about it,

1236
01:03:42,040 --> 01:03:44,280
Speaker 4: but it's the only thing I've been thinking about for

1237
01:03:44,400 --> 01:03:50,040
Speaker 4: a week now. It's the interview with Tracy Gilchrist of

1238
01:03:50,160 --> 01:03:57,080
Speaker 4: Out magazine and fucking Ariana Grande and Cynthia Arrivo. That

1239
01:03:57,280 --> 01:04:00,560
Speaker 4: is just like you know I heard I've lately I've

1240
01:04:00,600 --> 01:04:03,000
Speaker 4: been seeing on social media, I like, have it memorized

1241
01:04:03,080 --> 01:04:06,200
Speaker 4: by now you can do the whole TikTok like mouth

1242
01:04:06,400 --> 01:04:09,360
Speaker 4: like really with the computer in front of you. Yeah,

1243
01:04:11,080 --> 01:04:13,920
Speaker 4: people on social media have really been taken the lyrics

1244
01:04:13,920 --> 01:04:17,040
Speaker 4: from defying gravity and really holding space with that, and

1245
01:04:17,160 --> 01:04:20,520
Speaker 4: like Cynthia Revo is just like, oh my god, Wow,

1246
01:04:20,920 --> 01:04:24,120
Speaker 4: I didn't know that, like as it like as if

1247
01:04:24,560 --> 01:04:26,160
Speaker 4: holding space what that means?

1248
01:04:26,280 --> 01:04:29,440
Speaker 5: Really, yeah, I know what it's so I know what

1249
01:04:29,640 --> 01:04:33,400
Speaker 5: holding space means, and like, for lack of a better word,

1250
01:04:33,560 --> 01:04:39,000
Speaker 5: like woke terminology, I don't understand how it fits in

1251
01:04:39,120 --> 01:04:41,480
Speaker 5: this like I don't know. I guess I've been really

1252
01:04:41,600 --> 01:04:43,960
Speaker 5: I've been really holding space for the lyrics of Sister

1253
01:04:44,040 --> 01:04:44,800
Speaker 5: Fucker Part.

1254
01:04:44,680 --> 01:04:45,840
Speaker 1: One by I Hate God.

1255
01:04:47,880 --> 01:04:50,640
Speaker 5: I've been really holding space for the lyrics and cheerleader

1256
01:04:50,720 --> 01:04:53,360
Speaker 5: corpses by Pig Destroyer, Like.

1257
01:04:54,880 --> 01:04:57,240
Speaker 1: I I don't know what that means. It is so

1258
01:04:57,760 --> 01:05:01,120
Speaker 1: just my good uncanny exactly what I.

1259
01:05:01,240 --> 01:05:04,600
Speaker 3: Was hoping you would be doing, exactly what I wanted.

1260
01:05:04,920 --> 01:05:08,600
Speaker 4: And then Ariana Grande trying to manipulate Cynthia Revo into

1261
01:05:08,640 --> 01:05:10,920
Speaker 4: crying for the nine hundredth time on this press tour

1262
01:05:11,040 --> 01:05:14,040
Speaker 4: by grabbing her finger. She's like trying to grab her

1263
01:05:14,120 --> 01:05:16,560
Speaker 4: hand and just gets a finger. Yeah, I'm just like,

1264
01:05:17,320 --> 01:05:20,919
Speaker 4: I'm like Ariana Grande, everybody needs to eat a meal

1265
01:05:21,320 --> 01:05:24,640
Speaker 4: and be institutionalized because they look like they.

1266
01:05:24,600 --> 01:05:28,120
Speaker 5: Are at least put her in a dress that's like flattering,

1267
01:05:28,480 --> 01:05:30,760
Speaker 5: like she looks the dress is so big.

1268
01:05:30,840 --> 01:05:34,040
Speaker 1: She looks like David Byrne like, well, Cynthia hat is

1269
01:05:34,120 --> 01:05:36,080
Speaker 1: so big. I was like, what is the hat? I

1270
01:05:36,160 --> 01:05:39,040
Speaker 1: don't know. It's just very it's all. It's all, and

1271
01:05:39,200 --> 01:05:40,920
Speaker 1: talk about stop making sense.

1272
01:05:41,040 --> 01:05:50,160
Speaker 5: I did none of that, Like none of themedia.

1273
01:05:48,040 --> 01:05:51,520
Speaker 1: You've been enjoying. I really liked the movie and Noor,

1274
01:05:51,800 --> 01:05:53,040
Speaker 1: directed by Sean Baker.

1275
01:05:54,480 --> 01:05:57,880
Speaker 4: Some of that Erica Jane's song about her her wet,

1276
01:05:57,960 --> 01:06:01,400
Speaker 4: drippy pussy. Yeah, there's a there's a Slater needle drop

1277
01:06:02,080 --> 01:06:02,280
Speaker 4: in it.

1278
01:06:02,400 --> 01:06:07,360
Speaker 1: That's cool. There's a there's a we usually read like

1279
01:06:07,400 --> 01:06:08,200
Speaker 1: a tweet or something.

1280
01:06:08,320 --> 01:06:10,440
Speaker 5: There was one I saw yesterday that was like a

1281
01:06:10,520 --> 01:06:13,160
Speaker 5: British guy taking off my bra and being like, so,

1282
01:06:13,280 --> 01:06:15,120
Speaker 5: what's all this what's all this there?

1283
01:06:18,280 --> 01:06:18,560
Speaker 1: What's that?

1284
01:06:20,720 --> 01:06:21,120
Speaker 8: I like that?

1285
01:06:21,440 --> 01:06:24,640
Speaker 1: But yeah, I'm with Carmen that video of yeah, the

1286
01:06:24,720 --> 01:06:25,320
Speaker 1: Wicked Tour.

1287
01:06:26,280 --> 01:06:28,320
Speaker 4: I don't know, but I'm in queer media, so that's

1288
01:06:28,400 --> 01:06:28,720
Speaker 4: my you.

1289
01:06:28,760 --> 01:06:31,800
Speaker 5: Know, Yeah, we are as people in queer media. I

1290
01:06:31,840 --> 01:06:34,320
Speaker 5: guess I guess we do understand this on it. I

1291
01:06:34,360 --> 01:06:36,880
Speaker 5: guess we have been holding space for queer media in

1292
01:06:36,960 --> 01:06:39,080
Speaker 5: a different way. And thank you all for holding space

1293
01:06:39,200 --> 01:06:42,040
Speaker 5: for us. Yes, thank you for holding space for us.

1294
01:06:42,120 --> 01:06:44,720
Speaker 1: I didn't know that happening, and that's amazing. I didn't

1295
01:06:44,720 --> 01:06:47,560
Speaker 1: know that was happening and what I wanted. Thank you,

1296
01:06:47,720 --> 01:06:49,480
Speaker 1: thank you. We didn't want to tell you like this,

1297
01:06:49,680 --> 01:06:51,240
Speaker 1: but now you know.

1298
01:06:51,400 --> 01:06:55,440
Speaker 3: Yeah, I started, Where can people find you as their

1299
01:06:55,480 --> 01:06:56,800
Speaker 3: work of media you've been enjoying?

1300
01:06:57,040 --> 01:07:00,800
Speaker 1: Yeah, find me everywhere but blue Sky still miles of gray.

1301
01:07:00,840 --> 01:07:02,680
Speaker 1: Everywhere is miles of gray. Fine.

1302
01:07:02,760 --> 01:07:05,480
Speaker 2: Jack and I on the basketball podcastles Jack Got Mad

1303
01:07:05,520 --> 01:07:07,880
Speaker 2: boost here still tuned into the game of the week.

1304
01:07:07,960 --> 01:07:10,240
Speaker 2: We told you a lot's just forget about that one.

1305
01:07:10,960 --> 01:07:11,320
Speaker 1: We didn't.

1306
01:07:11,360 --> 01:07:13,760
Speaker 2: It didn't go according to I was talking to Adam Silver,

1307
01:07:13,840 --> 01:07:15,280
Speaker 2: I said, hey, the Lakers had to win that one.

1308
01:07:15,280 --> 01:07:16,040
Speaker 1: What the heck was going on?

1309
01:07:16,200 --> 01:07:20,000
Speaker 2: Didn't go on anyway and also find me talking on

1310
01:07:20,200 --> 01:07:24,440
Speaker 2: four to twenty day fiance A couple skeets I like

1311
01:07:24,800 --> 01:07:27,800
Speaker 2: first one at the Internet Hippo or at Internet Hippo tweeted,

1312
01:07:27,840 --> 01:07:30,920
Speaker 2: we don't do Thanksgiving at our house because it encourages dependency.

1313
01:07:31,320 --> 01:07:33,480
Speaker 1: Here it's thanks earning, thank you.

1314
01:07:34,520 --> 01:07:34,640
Speaker 3: Uh.

1315
01:07:34,840 --> 01:07:38,320
Speaker 2: And then Sarah saw blah s A b l a

1316
01:07:38,520 --> 01:07:42,080
Speaker 2: a h dot b sky do social said, we got

1317
01:07:42,120 --> 01:07:44,200
Speaker 2: a bigger bed so our dog would take up less

1318
01:07:44,240 --> 01:07:47,120
Speaker 2: of it, but it was futile. He has adapted, finding

1319
01:07:47,200 --> 01:07:49,840
Speaker 2: ways to make himself larger and longer.

1320
01:07:49,600 --> 01:07:52,240
Speaker 1: In the night. And that's just yeah, right hat fun,

1321
01:07:52,320 --> 01:07:54,720
Speaker 1: that's real. These pets in the fucking bed, man, get

1322
01:07:54,760 --> 01:07:57,280
Speaker 1: them the fuck. No, I gotta have my dog in

1323
01:07:57,320 --> 01:07:57,600
Speaker 1: my bed.

1324
01:07:57,640 --> 01:07:59,640
Speaker 4: They told me before surgery not to have my pets

1325
01:07:59,760 --> 01:08:02,400
Speaker 4: from the I laughed and I said, yeah.

1326
01:08:05,240 --> 01:08:08,160
Speaker 3: You can find me on Twitter at Jack underscore o

1327
01:08:08,240 --> 01:08:12,920
Speaker 3: Brian on Blue Sky at jack Ob one jaber one

1328
01:08:13,200 --> 01:08:14,560
Speaker 3: Ob number one.

1329
01:08:15,120 --> 01:08:18,280
Speaker 1: Jacob one is what it looks like, because that's bad

1330
01:08:18,600 --> 01:08:23,840
Speaker 1: legendary New York City tagger Jacob Jacob. I like the

1331
01:08:24,560 --> 01:08:27,840
Speaker 1: Wicked video. I still that that is the only I

1332
01:08:28,000 --> 01:08:28,559
Speaker 1: I could lie.

1333
01:08:28,600 --> 01:08:33,439
Speaker 3: I could name uh, tweet a skeet, But the only

1334
01:08:33,960 --> 01:08:36,759
Speaker 3: social media clip that is a that I'm holding space

1335
01:08:36,800 --> 01:08:38,360
Speaker 3: for is the Wicked clip.

1336
01:08:39,439 --> 01:08:43,800
Speaker 1: You can find us on Twitter at daily Zeitgeist. We're

1337
01:08:43,840 --> 01:08:45,559
Speaker 1: at the Daily Zeitgeist on Instagram.

1338
01:08:45,600 --> 01:08:47,479
Speaker 3: We have a Facebook fan page and a website Daily

1339
01:08:47,560 --> 01:08:49,599
Speaker 3: zeitgeist dot com, where we post our episode that our

1340
01:08:49,680 --> 01:08:52,200
Speaker 3: foot no no We link off to the information that

1341
01:08:52,240 --> 01:08:54,560
Speaker 3: we talked about in today's episode, as well as a

1342
01:08:54,680 --> 01:08:56,280
Speaker 3: song that we think you might enjoy.

1343
01:08:56,800 --> 01:08:59,080
Speaker 1: Miles, what song do you think people might enjoy?

1344
01:09:00,200 --> 01:09:02,280
Speaker 2: I've just been listening to more of that artist, Nila

1345
01:09:02,360 --> 01:09:05,639
Speaker 2: fair Yanya, and last week we went on the track,

1346
01:09:05,840 --> 01:09:08,960
Speaker 2: Like I say, there's another track from this album called

1347
01:09:08,960 --> 01:09:09,759
Speaker 2: My method Actor.

1348
01:09:10,080 --> 01:09:10,880
Speaker 1: The track is called.

1349
01:09:10,840 --> 01:09:14,240
Speaker 2: Mutations and a I just love like as an I

1350
01:09:14,360 --> 01:09:17,240
Speaker 2: like when like artists are really you can tell they

1351
01:09:17,320 --> 01:09:19,519
Speaker 2: give a fuck about the rhythm section and the drumming

1352
01:09:19,640 --> 01:09:21,439
Speaker 2: on their album, because this is like one of those

1353
01:09:21,560 --> 01:09:24,160
Speaker 2: it's it's it's intricate a little, it's a little, you know,

1354
01:09:24,280 --> 01:09:26,360
Speaker 2: more intricate than like straightforward kind of four and the

1355
01:09:26,400 --> 01:09:30,080
Speaker 2: four shit. So this is Mutations by Nila fair Yanya

1356
01:09:30,360 --> 01:09:32,080
Speaker 2: n I l u f e r a y A

1357
01:09:32,280 --> 01:09:32,840
Speaker 2: n y a.

1358
01:09:33,200 --> 01:09:34,840
Speaker 1: U get it, Get it.

1359
01:09:35,680 --> 01:09:37,400
Speaker 3: We will link off to that in the footnotes today

1360
01:09:37,760 --> 01:09:39,880
Speaker 3: as a production by heart Radio. For more podcasts from

1361
01:09:39,880 --> 01:09:42,280
Speaker 3: my heart Radio, visit the heart Radio app, Apple podcast,

1362
01:09:42,400 --> 01:09:45,160
Speaker 3: or wherever you listen to your favorite shows. That's gonna

1363
01:09:45,200 --> 01:09:48,040
Speaker 3: do it for us this morning, back to this afternoon

1364
01:09:48,120 --> 01:09:49,680
Speaker 3: to tell you what is trending, and we will talk

1365
01:09:49,680 --> 01:09:50,160
Speaker 3: to you all time.

1366
01:09:50,280 --> 01:09:52,120
Speaker 1: Bye bye, bye bye