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Speaker 1: The Nicky Gliser podcastser.

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Speaker 2: Nicky, Hello here, I am welcome to the show. It's

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Speaker 2: a Nicky Glazer podcast.

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Speaker 3: Before we get started, want to remind everyone I'm spent

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Speaker 3: taving a special in Seattle on December sixteenth that's coming

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Speaker 3: up in almost two weeks now in Seattle. Oh shit, noah.

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Speaker 3: And I was like, what does that sound? It sounded

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Speaker 3: like a toy. Yeah yeah, I did, like a windy witch.

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Speaker 4: Yes.

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Speaker 3: Yeah, there's two shows on December sixteenth on Saturday. And

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Speaker 3: want besties to go, really want to populate the crowd

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Speaker 3: with them. I'm taping the special for a reputable Yeah, yeah,

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Speaker 3: I really want.

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Speaker 2: I'm going to start my own call Triplet Flames. Yeah.

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Speaker 3: And uh so their tickets still available, I think mainly

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Speaker 3: to there's single tickets, a lot of single tickets, I think,

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Speaker 3: not a lot, but enough to the first show if

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Speaker 3: you want to go alone, and then to the second

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Speaker 3: show for sure, there's many. And then I have lots

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Speaker 3: of shows coming up this weekend. Toronto, Toronto, wait, Toronto.

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Speaker 3: Last time I was there, I kept saying Toronto and

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Speaker 3: everyone was like, it's Toronto, and I'm like, well, then

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Speaker 3: tell your city's spelling because there's an extra tea in there,

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Speaker 3: and I like to hit it Toronto, right, But I'm

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Speaker 3: not going to say that in Toronto, Toronto this weekend.

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Speaker 2: Louisville, louis Yeah, Louisville. Yeah, that's a.

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Speaker 4: That's a.

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Speaker 2: But that's like south like Toronto.

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Speaker 3: You think Canadians would be meticulous about hitting every celeble.

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Speaker 4: Yeah, yes, exactly. It's not New York.

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Speaker 3: City, say, and then uh, Toronto, and then Munhole, Pennsylvania,

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Speaker 3: which is really very close to Pittsburgh. I don't know

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Speaker 3: why all of my things say Munholl because it's not

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Speaker 3: helpful to literally anyone. It's not like I don't know

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Speaker 3: the little cities outside Saint Louis.

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Speaker 2: So if someone was like, I'm coming to.

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Speaker 3: Munhole, Missouri, if that was nearby, I wouldn't know, and

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Speaker 3: then I would just miss it.

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Speaker 2: Because so that's Pittsburgh if you're in the area.

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Speaker 3: And then and then Saturday in Detroit and tonight at

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Speaker 3: the Funny Bone Detroit, Detroit, Troy, and then uh yeah,

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Speaker 3: tonight in Saint Louis.

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Speaker 2: So I have four nights in a row. I think,

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Speaker 2: how are you feeling?

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Speaker 3: How are you feeling two weeks ahead of your special exhausted.

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Speaker 3: I am chronically tired. And it's not because the special

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Speaker 3: I don't think. I'm just like, it's never enough. I

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Speaker 3: always want to get back in there whenever I wake up,

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Speaker 3: even if it's a nightmare, I want to get back

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Speaker 3: in my nightmare.

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Speaker 2: I want to get back.

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Speaker 3: I had a nightmare about Marilyn Manson had snuck me

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Speaker 3: on a spaceship, really hot blonde girl, and he was

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Speaker 3: making us make out and I really didn't want to

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Speaker 3: and I couldn't find my shoes and I wanted to

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Speaker 3: go work out.

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Speaker 2: It's the whole thing.

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Speaker 4: Wow, Wow, I feel like, who's Marilyn Manson? Is that

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Speaker 4: Chris may Manson?

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Speaker 3: I think is well. I watched Fargo last night, the

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Speaker 3: new season. Do you watch that?

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Speaker 4: I wish I did, but I just can't.

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Speaker 2: I've never What do you mean you can't.

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Speaker 4: There's no reason why I haven't watched it. I heard

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Speaker 4: it's amazing.

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Speaker 3: You never watched it, like ever in the history of

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Speaker 3: it's season five. I think I've never watched any season.

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Speaker 3: I have only seen the movie Fargo, which is nothing

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Speaker 3: like the show. But I'm watching the new season and

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Speaker 3: it's terrifying. Killy from Ted last I was in it.

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Speaker 3: But she doesn't talk like this. Oh, she talks like,

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Speaker 3: you know, oh yeah, we gotta go get the groceries,

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Speaker 3: and oh my god, it's snowing outside and everyone has

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Speaker 3: this like really, I guess it's the Minnesota accent sounds fake,

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Speaker 3: especially when you expect the person saying it to sound

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Speaker 3: very British.

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Speaker 4: Yeah, she's right.

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Speaker 2: I think she's.

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Speaker 3: British as fuck, man like, but who knows. Maybe she's

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Speaker 3: putting on that accent for ted Lesard. No, I think

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Speaker 3: she's very British. But she is nailing that accent and

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Speaker 3: she's great in this, but it's so scary. There's this

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Speaker 3: one scene in the first episode spoiler alert, but it's

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Speaker 3: not like it's early in the episode, so I don't

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Speaker 3: know if that counts as a spoiler.

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Speaker 2: I'm bad at spoilers. I'm sorry everyone.

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Speaker 3: I know I ruined everything for you, But like, maybe

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Speaker 3: this is the way you're supposed to hear it the

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Speaker 3: first time, and maybe you can have the same kind

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Speaker 3: of shock that you would in this moment. But it

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Speaker 3: happens like within the first I would say, fifteen minutes

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Speaker 3: of the episode, probably earlier.

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Speaker 4: It happens with the first fifteen episodes.

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Speaker 2: Yeah, we watched three episodes last night. It was a lot.

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Speaker 2: But it's so scary. It's so I would never be

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Speaker 2: able to watch this alone. Never. What is scary?

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Speaker 3: Is it like monster scari like murder scary? It's murder scary.

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Speaker 3: It's like psychopath mean people scary. John Hamm plays a

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Speaker 3: really bad person. Man, does he play it well? He

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Speaker 3: does a better job of playing mean people than nice people,

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Speaker 3: which hmmm, I wonder why so read Kathy Griffith's book,

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Speaker 3: so I uh read.

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Speaker 4: Read it also makes him three dimensional because he presents

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Speaker 4: himself like a nice guy and so when he's mean,

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Speaker 4: it like really adds to.

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Speaker 3: The Oh he's scary at fuck man, you don't want

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Speaker 3: to get on his bad side. That that Don Draper,

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Speaker 3: that like the stern drawn Draper comes out. That's why

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Speaker 3: I think John, I think he's more like I think

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Speaker 3: he is like Don Draper.

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Speaker 2: There's two sides to that guy.

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Speaker 3: But he is evil in this so scary as a

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Speaker 3: nipples pierced, which is weird.

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Speaker 4: I don't even know how they fake that he can't

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Speaker 4: be pierced.

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Speaker 3: Yeah, that barreled chest with those nipples piers and then

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Speaker 3: at one point, he gets out of a tub and

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Speaker 3: you know he notoriously has his packing because we've which

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Speaker 3: is none of our business, but we've but gun or

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Speaker 3: balls come on Ham John Ham's Ham.

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Speaker 4: Do you remember all the pictures he's got that ham bone?

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Speaker 2: You don't remember this.

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Speaker 4: I don't seek out John Ham's.

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Speaker 2: Neither did I. But they were everywhere everywhere? Yeah, I

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Speaker 2: really no. What do you remember?

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Speaker 4: Yes, everywhere, but somehow coming through your window right now?

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Speaker 2: See why is it on your screen? Yeah, it's it's

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Speaker 2: zooming in. Yeah. So it's he gets out of a

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Speaker 2: hot tub.

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Speaker 3: And he had to have had that thing tacked on

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Speaker 3: because the way his legs are spread, you would be

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Speaker 3: able to see it through the back like we only

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Speaker 3: see a backside shot. Oh so the whole time, I'm

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Speaker 3: like waiting for it to drop, because like a wrap up,

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Speaker 3: but it never does.

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Speaker 4: Well, hot though, you know that's that's shrinkage, Just George,

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Speaker 4: that's hot. Yeah but hot right, so cold as shrinkage.

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Speaker 4: I feel like you'll shrink either way.

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Speaker 2: Well, that's your experience.

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Speaker 4: We just learned something of you.

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Speaker 2: Makes it loose.

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Speaker 4: Mine gets really big and cold.

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Speaker 3: Wait whoa yes, wait, I was thinking the other day

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Speaker 3: that like because I'm I'm talking about in my set,

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Speaker 3: I'm talking about like how your vagina like changes shape

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Speaker 3: as you get older, and like you know, gravity just

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Speaker 3: takes hold of everything. And men must be excited about

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Speaker 3: gravity for their dicks, right, like when it gets older,

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Speaker 3: it gets saggier. They must like the sagginess for their penis,

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Speaker 3: I know, not for your balls.

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Speaker 4: That's probably the problem is the balls which are outside

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Speaker 4: our body, which is a you know, I think a

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Speaker 4: design flaw, but they do. I have heard tail as

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Speaker 4: you would that be outside just to keep it cooler.

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Speaker 4: It needs to be two degrees cooler so that the

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Speaker 4: spurms way.

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Speaker 2: Is that true?

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Speaker 4: True?

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Speaker 5: Yeah?

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Speaker 3: Oh my god, But you know it's like can't you

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Speaker 3: just you know, make the pelvic area love like grilling

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Speaker 3: and like refrigeration stats that's a man thing to be,

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Speaker 3: Like we gotta keep it outside because like you guys

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Speaker 3: love like taking food and putting it in different places

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Speaker 3: to make it the best or like I don't know

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Speaker 3: what I'm trying to say, but okay.

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Speaker 4: No about that station plumbing. But yeah, I've heard tail

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Speaker 4: that when you get older, your balls can sack slowly

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Speaker 4: hit the toilet water when you sit down. Oh yeah,

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Speaker 4: so luckily I'm not there, and I think there's.

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Speaker 2: More toilet water, I know, touching that sack.

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Speaker 4: Yeah, you feel bad if the toilet water have a GoFundMe.

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Speaker 4: That's trying to change this, but mostly it just sucks

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Speaker 4: because you'd have no control over it. I can't do

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Speaker 4: keegeles for it or anything. It's just sagging.

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Speaker 2: And I don't think it's You're nice though, that you

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Speaker 2: can't do anything. It's just the way it is.

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Speaker 4: It's freeing that. Yeah, your balls are gonna like that.

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Speaker 4: You're gonna get older, and your nose is gonna get bigger,

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Speaker 4: your ears are gonna get bigger. Your ball sack's gonnaet bigger.

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Speaker 4: And I think your dick stays the same, which makes

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Speaker 4: it a disproportionate a little bit.

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Speaker 2: When it's oh yeah, well it's got a.

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Speaker 3: It's got a it's got a droop a little bit

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Speaker 3: based on just gravity, like when it's when it's soft,

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Speaker 3: it's got to like sag more.

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Speaker 4: Yeah, I mean i've seen some all which is at school.

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Speaker 2: I'm trying to get my kid.

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Speaker 4: Yeah, I think I've seen you know, it's hard to

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Speaker 4: say because i've seen old man dicks before, like in

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Speaker 4: the gym, locker room or something, and I always think

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Speaker 4: they're big. Whenever I see one, I think it's.

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Speaker 2: Gigantic, So maybe, yeah, that's the sag effect.

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Speaker 4: I've never like looked over at someone at a Europe

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Speaker 4: and be like, oh boy, tiny dick, that's tough for you.

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Speaker 4: Always over every time I go and I peek over

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Speaker 4: just to see what I'm working against and against you seension,

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Speaker 4: I've never seen one and I was like, oh good,

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Speaker 4: I'm this is a really small dick you have. It's

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Speaker 4: always been like, whoa, how the fuck were you from Europe?

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Speaker 4: I always think they're from eastern Europe or something. That's

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Speaker 4: why their dicks are so big. I don't know why

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Speaker 4: I think you're what that is about? Yeah, I don't know.

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Speaker 3: I want to talk about Oh yeah, John ham So

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Speaker 3: Jon Hamm is in the show. He's evil, and then Kaylee,

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Speaker 3: isn't it that? And I love Keeley's teeth. If everyone

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Speaker 3: knows what I'm talking about. Kiely from ted Lasso. Yeah,

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Speaker 3: she's got like these. She's got like a lip that

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Speaker 3: goes out by her teeth, and her teeth that like

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Speaker 3: kind of look like they're like like they're you're doing

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Speaker 3: this with your hands like when you do like cat

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Speaker 3: hands and you're like where are like her teeth all

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Speaker 3: go together, but they're they're not like crooked they I

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Speaker 3: love her mouth.

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Speaker 2: I'm obsessed with it. And even no her name is,

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Speaker 2: it kind of looks like temple.

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Speaker 3: Mouth. Yeah. Well, Chris kept saying she looks like Kirsten

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Speaker 3: and I didn't see it, so maybe that's true. Like

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Speaker 3: there's just like, yeah, maybe it does have a little

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Speaker 3: bit of there's like it's like a cat mouth. She

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Speaker 3: kind of has a cat mouth where it's like there's

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Speaker 3: like the lips that go over, Like she looks like

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Speaker 3: she's in the movie Cats, you know, Like however when

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Speaker 3: that movie had like a there's but I love it.

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Speaker 3: I'm like obsessed with how when she like smiles and

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Speaker 3: it just like comes up. It's not like most people

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Speaker 3: smile where it's like gets big.

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Speaker 2: She just like lifts.

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Speaker 4: Uh.

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Speaker 2: It's so good looking at a picture of her, she

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Speaker 2: looks like Jamie Lee. She's so cute.

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Speaker 4: Doesn't look like Jamie Lee ye.

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Speaker 2: Ted last for ted Lasson.

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Speaker 3: Yeah. Yeah, So she's in it, and she in one

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Speaker 3: scene is sitting in her like TV room knitting, and

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Speaker 3: it's the scariest.

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Speaker 2: Thing I've ever seen in my life.

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Speaker 3: She's like watching TV and she's like watching this like

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Speaker 3: Minnesota Morning Show and she's kind of just like, oh,

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Speaker 3: just like watching it and like kind of laughing along,

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Speaker 3: and like you can tell she's a real simple lady.

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Speaker 3: And then all of a sudden, this guy with like

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Speaker 3: a burlap sack mask over his face, real tall guy

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Speaker 3: walks up during the daytime, which makes it even creepier

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Speaker 3: for some reason, walks up up to her window, like

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Speaker 3: you know, it's like a full length almost door type

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Speaker 3: window thing like right next to the TV. And he's

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Speaker 3: carrying a hammer and he's just very calmly looking at

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Speaker 3: her and just walks up and it's just very slowly.

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Speaker 2: I don't like that.

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Speaker 3: I wanted to be fast. If you're gonna attack to

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Speaker 3: it fast, yes, And so she is just like she's

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Speaker 3: sitting there and she's just like and he walked. Then

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Speaker 3: he slowly starts pacing around to another window and he's

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Speaker 3: standing there and that's when I close my eyes and

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Speaker 3: I go, Chris, I cannot handle this. You're gonna have

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Speaker 3: to pretend like I'm blind, Like You're gonna have to

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Speaker 3: describe it to me. Pretend I'm you're blind. Like Chris

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Speaker 3: dated a girl who was blind in the past. He

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Speaker 3: was having who was going blind, and she was like

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Speaker 3: going to be fully blind. And I think he kind

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Speaker 3: of liked it because it's like he loves to help.

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Speaker 3: And so I was like, I don't think it bothered

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Speaker 3: him at all. I think he loved it. Like I

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Speaker 3: don't think he if I told him, you know, those

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Speaker 3: girls give those scenarios like what if I had no

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Speaker 3: arms or legs? Would you still love me? There's a

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Speaker 3: part of me that thinks Chris would like me more

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Speaker 3: like it would be he would be more there for me.

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Speaker 3: He loves to help, right, so relationship goals someday Fingers crossed.

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Speaker 3: I can tap my hammer, so I am baring my

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Speaker 3: face into the couch, but not too much because my

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Speaker 3: couch is white and I always have broadcha on my face,

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Speaker 3: so I like put a blanket.

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Speaker 2: Then my face my fucking couch.

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Speaker 3: I can't even sit on my with my pure body

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Speaker 3: because I always have tan that's gonna come off on it.

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Speaker 3: So never been able to sit upon my couch, so

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Speaker 3: I'm hiding my eyes and I'm like, Chris, you've got

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Speaker 3: to describe the scene to me. You got and he's

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Speaker 3: not very good, like he'd be a great blind boyfriend

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Speaker 3: and like boyfriend to the blind and in terms of

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Speaker 3: like helping getting my cane, like getting things warm, me

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Speaker 3: making sure like I but if he's got to step

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Speaker 3: it up, if I'm gonna go blind with show description,

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Speaker 3: because he's like because then I will see the scene

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Speaker 3: change because I'll see like a flicker of light.

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Speaker 2: And I'm like, okay, now what And he's like, oh now,

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Speaker 2: the guy with a hammer is like inside the house.

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Speaker 3: I'm like, how did he get in? Like he's not

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Speaker 3: telling me the So then I like went over to

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Speaker 3: him and I'm like, you gotta tell me, Like I'm

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Speaker 3: your blind ex girlfriend. Pretend i'm her and I know

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Speaker 3: her name, and so I was like, you got it.

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Speaker 3: And so now I'm like, pretend i'm her, and he's like,

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Speaker 3: your tits need to be bigger, and so then I

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Speaker 3: started inflating my tits and he was like bigger, bigger,

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Speaker 3: and and then I got almost offended. I was like, wait,

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Speaker 3: did your blind girlfriend have huge boobs? And he's like yeah,

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Speaker 3: And I was like then I was like, I'm going

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Speaker 3: over the other side of the couch. I have small boobs,

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Speaker 3: I'm not even blind, and I got like hurt.

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Speaker 4: While the background, John Hamm is hammering this woman.

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Speaker 3: Yes, but she she she does. Yeah, she's a big

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Speaker 3: part of the show. So I knew she wasn't gonna

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Speaker 3: get hammered to death. He didn't hammer, but he But

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Speaker 3: it's so scary, do you you agree? So scary to

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Speaker 3: see someone slow when they are ready to murder.

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Speaker 2: Also worst death imaginable hammer.

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Speaker 3: God.

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Speaker 4: Did you see the new Batman movie with Robert Pattinson.

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Speaker 4: It's of course not okay, Well, there's a little bit

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Speaker 4: of that hammer slow hammer action in that there slow hammer,

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Speaker 4: slow hammer. I mean this is really truly creepy. Uh

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Speaker 4: slow hammer action. That the villain is played by the

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Speaker 4: guy the the guy who played the young priest. And

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Speaker 4: there will be blood. Did you see there will be

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Speaker 4: blood with also.

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Speaker 2: Slow hammer action that wait, no, no, no, that's the

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Speaker 2: other one there was.

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Speaker 3: There will be the blood. And then there's like the

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Speaker 3: one with the cattle, with the cattle, Oh yeah, that's god,

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Speaker 3: what the hell is that came out at the same time.

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Speaker 4: No Country, No Country for Old man, those two movies

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Speaker 4: came at the same time, and it's like, what is

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Speaker 4: going on in the world?

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Speaker 2: Yeah that was so that movie's all slow hammer.

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Speaker 4: This year is crazy.

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Speaker 3: Uh well yeah that both both advertayes okay they do, okay, yeah.

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Speaker 4: Well you know, No Country for Old Man has one

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Speaker 4: of like the most horrifying deaths of all time, which

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Speaker 4: is when he's impersonating the police officer. He pulls over

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Speaker 4: the person and then he has the thing that shoots

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Speaker 4: air into cattle's heads to kill them, and he just

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00:16:18,080 --> 00:16:20,880
Speaker 4: says it's it's almost like the guy is going under

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00:16:20,880 --> 00:16:23,160
Speaker 4: a sobriety test and he says, stand still. And the

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00:16:23,280 --> 00:16:26,680
Speaker 4: worst part is is he's just complicit and docile and

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00:16:26,800 --> 00:16:29,200
Speaker 4: he stands there and he's like, yes, sir, and just

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00:16:29,360 --> 00:16:33,720
Speaker 4: like that, he drops down, takes the car, drives off.

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Speaker 3: There's a lot of depths like that, Yes, like calm psychopath.

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00:16:37,960 --> 00:16:40,440
Speaker 3: That's where that's when we started calling this guy a psychopath.

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Speaker 3: Like we don't even know his name, but I just

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Speaker 3: keep going because that if he were like frantic, we

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00:16:44,840 --> 00:16:47,080
Speaker 3: would just be calling him like the killer, but instead

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00:16:47,240 --> 00:16:50,080
Speaker 3: we're calling him psychopath because and it was interesting to

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Speaker 3: me because I'm like, why is Chris all of a

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00:16:51,280 --> 00:16:53,920
Speaker 3: sudden saying okay, now the psychopath is I'm like, he

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00:16:54,160 --> 00:16:57,640
Speaker 3: made up that term because this guy is too calm. Yeah,

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Speaker 3: but also I watched an interview with a psychopath the

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Speaker 3: other day that was really interesting real Yeah.

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Speaker 2: It was Peers Morgan being interviewed and.

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Speaker 3: Nice Peers Morgan, who I don't particularly like, but he

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Speaker 3: was interviewing this child psychopath who killed his sister when

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Speaker 3: he was twelve and she was like six, and they

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00:17:21,720 --> 00:17:23,399
Speaker 3: were like, they had all this footage of them being

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Speaker 3: like sweet brother and sister, and then he murdered his

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00:17:26,760 --> 00:17:32,000
Speaker 3: sister's Americans. He murdered his sister because he hated his

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00:17:32,160 --> 00:17:36,119
Speaker 3: mom and he was gonna murder his mom, but he

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00:17:36,280 --> 00:17:39,120
Speaker 3: decided the thing that it would hurt his mom more

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00:17:39,400 --> 00:17:42,440
Speaker 3: is to murder his sister, because it would not only

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Speaker 3: take away his sister, but it would also take away

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Speaker 3: him for prison for life.

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Speaker 2: And he wanted to hurt his mom.

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Speaker 3: As deeply as possible, and so that was his reason

365
00:17:50,720 --> 00:17:52,880
Speaker 3: because he was planning on murdering his mom. But there's

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Speaker 3: all this footage of them as kids and him being

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00:17:54,920 --> 00:17:57,280
Speaker 3: so sweet to his sister, looking after her like you

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00:17:57,320 --> 00:17:59,240
Speaker 3: would think they were like the best.

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Speaker 2: He was the best little brother in the world.

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00:18:01,480 --> 00:18:04,399
Speaker 3: So it's truly and then Piers Morgan interviews him, and

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00:18:04,440 --> 00:18:07,000
Speaker 3: this guy's face just looks so like you've seen memes

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00:18:07,040 --> 00:18:07,760
Speaker 3: of this guy's face.

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Speaker 2: It's fucking scary as fuck. But I was so scary.

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Speaker 3: I think that's why I had the Marilyn Manson dream

375
00:18:13,400 --> 00:18:16,000
Speaker 3: last night. It's because of the hammertime of just like

376
00:18:16,560 --> 00:18:21,800
Speaker 3: like scary looking cal murderers. And yeah, and so Fargo

377
00:18:21,960 --> 00:18:26,080
Speaker 3: was terrifying. Chris described it all to me, it sounded

378
00:18:26,200 --> 00:18:29,320
Speaker 3: terrifying at least, Oh my god, it but it's really good.

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00:18:29,400 --> 00:18:31,480
Speaker 3: I'm actually looking forward to watching more of it because

380
00:18:31,520 --> 00:18:33,960
Speaker 3: we watched three episodes and I was like kind of

381
00:18:34,000 --> 00:18:35,720
Speaker 3: had to twist my arm to walk to it. At first,

382
00:18:36,840 --> 00:18:40,000
Speaker 3: I really wanted to watch another doc that I Apparently

383
00:18:40,080 --> 00:18:43,600
Speaker 3: there's this doc called like The Truth of Love or

384
00:18:43,720 --> 00:18:46,679
Speaker 3: Love Is the Way or Love is the I forget

385
00:18:46,720 --> 00:18:48,760
Speaker 3: what it is, but all of my friends on girls

386
00:18:48,840 --> 00:18:51,000
Speaker 3: Chat are freaking out about it, saying it's the most

387
00:18:51,080 --> 00:18:52,960
Speaker 3: fucked up doc yet. So if you know what I'm talking,

388
00:18:53,280 --> 00:18:55,720
Speaker 3: Robin Williams is involved somehow. I don't even know what,

389
00:18:56,200 --> 00:18:58,359
Speaker 3: I know, why are you pulling him into this? But

390
00:18:58,560 --> 00:19:00,480
Speaker 3: like I guess they are making him some sort of

391
00:19:00,560 --> 00:19:03,040
Speaker 3: prophet or something I don't even understand. But we're gonna

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Speaker 3: go to break and come back with more after this.

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Speaker 3: This morning, I woke up to my favorite It's my

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00:19:11,480 --> 00:19:13,480
Speaker 3: favorite time of year. It might be my favorite day

395
00:19:13,520 --> 00:19:18,480
Speaker 3: of the year, I think, besides maybe like the day

396
00:19:18,640 --> 00:19:19,360
Speaker 3: before Christmas.

397
00:19:19,400 --> 00:19:20,240
Speaker 4: I really like the day.

398
00:19:20,119 --> 00:19:22,760
Speaker 2: Before Christmas because it's like, you know, gooning for Christmas.

399
00:19:23,119 --> 00:19:25,480
Speaker 4: But this day is pretty good.

400
00:19:26,160 --> 00:19:31,760
Speaker 2: Yeah, yeah, I guess they call it that. Yeah, yeah, gooning.

401
00:19:33,000 --> 00:19:37,920
Speaker 3: Yeah, let it goon, let it goon, Let it goon Okay,

402
00:19:38,040 --> 00:19:40,280
Speaker 3: So today is Spotify wrapped?

403
00:19:40,760 --> 00:19:44,879
Speaker 4: Oh yeah, I got it.

404
00:19:44,960 --> 00:19:46,720
Speaker 2: Did you get yours? Do you listen to Spotify?

405
00:19:47,600 --> 00:19:47,639
Speaker 4: Do?

406
00:19:48,200 --> 00:19:48,840
Speaker 3: Okay? Lot?

407
00:19:50,560 --> 00:19:53,040
Speaker 4: I mean Kirsten doesn't.

408
00:19:53,880 --> 00:19:56,159
Speaker 3: Anya barely does it, and I think she rolls her

409
00:19:56,200 --> 00:19:58,399
Speaker 3: eyes at it because I think she is just like

410
00:19:58,960 --> 00:20:02,359
Speaker 3: you know, she's she's she's upset with Spotify because she

411
00:20:02,520 --> 00:20:03,440
Speaker 3: gets those checks.

412
00:20:03,480 --> 00:20:08,920
Speaker 4: For like Spotify makes people who have Pandora feel so bad.

413
00:20:09,040 --> 00:20:11,800
Speaker 4: It's like having an Apple phone versus having uh a

414
00:20:11,920 --> 00:20:14,040
Speaker 4: droid Android. Yeah, It's like I'm sorry.

415
00:20:15,560 --> 00:20:18,679
Speaker 2: So I switched from art. I was an audio baby

416
00:20:18,840 --> 00:20:19,480
Speaker 2: back in the day.

417
00:20:19,800 --> 00:20:23,560
Speaker 3: That's like Chris, Yeah, it's gone now, But I used

418
00:20:23,600 --> 00:20:27,080
Speaker 3: to use a different service until spot Then Spotify Wrapped

419
00:20:27,119 --> 00:20:28,840
Speaker 3: came out maybe the first or second time, and I

420
00:20:28,960 --> 00:20:32,320
Speaker 3: was like, I can't miss this again. This is exciting.

421
00:20:32,760 --> 00:20:35,119
Speaker 3: I like finding out things about myself. This is like

422
00:20:35,240 --> 00:20:38,240
Speaker 3: taking an enneagram and like you're and if you're someone

423
00:20:38,240 --> 00:20:41,560
Speaker 3: who likes music, it's just so fun to see your data.

424
00:20:42,160 --> 00:20:43,760
Speaker 3: And I know it's like they sell it all and

425
00:20:43,840 --> 00:20:46,680
Speaker 3: they use it all against you, but it's so I

426
00:20:47,160 --> 00:20:50,359
Speaker 3: love Spotify rap and I hate everyone being snarky about it.

427
00:20:50,760 --> 00:20:56,600
Speaker 3: I like people Spotify raps are so snarky about Spotify.

428
00:20:56,880 --> 00:21:00,720
Speaker 3: They hate it because everyone is bragging about how cool

429
00:21:00,760 --> 00:21:03,439
Speaker 3: their music tastes are or whatever. And everyone who has

430
00:21:03,560 --> 00:21:05,840
Speaker 3: lame music tastes or doesn't use Spotify wrapped or are

431
00:21:05,960 --> 00:21:08,880
Speaker 3: so or like uses Apple Music, are so jealous.

432
00:21:09,160 --> 00:21:10,280
Speaker 4: Yeah, and they don't like it.

433
00:21:10,400 --> 00:21:11,160
Speaker 2: But it's fun.

434
00:21:11,359 --> 00:21:14,119
Speaker 3: It's fun and you are just open your mind to it,

435
00:21:14,280 --> 00:21:18,359
Speaker 3: like be interested in other people find it. It tells

436
00:21:18,400 --> 00:21:20,240
Speaker 3: you so much about someone. So wait, let's look at

437
00:21:20,320 --> 00:21:22,880
Speaker 3: let's hear your Spotify rapped. This is exciting because you're

438
00:21:22,880 --> 00:21:23,879
Speaker 3: looking at it for the first time.

439
00:21:23,800 --> 00:21:26,000
Speaker 4: Says me, I'm opening Spotify for the first time.

440
00:21:26,760 --> 00:21:28,760
Speaker 3: Well, it has to take you through that whole fucking stuy.

441
00:21:28,800 --> 00:21:31,040
Speaker 3: I don't like how long the stories say. It's pretty well,

442
00:21:31,160 --> 00:21:34,000
Speaker 3: this year you visited seven countries with your music, and

443
00:21:34,040 --> 00:21:38,400
Speaker 3: then it's bump burn bank Bank, and then this country's

444
00:21:38,440 --> 00:21:39,840
Speaker 3: come up slowly, and you're like, I don't give a

445
00:21:40,000 --> 00:21:40,760
Speaker 3: fuck where.

446
00:21:40,720 --> 00:21:41,359
Speaker 2: My music was.

447
00:21:41,520 --> 00:21:46,159
Speaker 3: Yeah, look at this bullshit. Oh hell you wow you hey, Brian,

448
00:21:46,520 --> 00:21:48,400
Speaker 3: I can't read what that says, Brian. You gotta tell

449
00:21:48,480 --> 00:21:49,560
Speaker 3: us it's rap time.

450
00:21:50,000 --> 00:21:52,520
Speaker 4: Twenty twenty three was a feast for your ears. You

451
00:21:52,640 --> 00:21:54,959
Speaker 4: listened to fifty seven genres.

452
00:21:55,480 --> 00:21:59,879
Speaker 2: What I only listened to seven? A fifty seven?

453
00:22:00,200 --> 00:22:01,760
Speaker 4: No, no, Now it's showing me a sandwich.

454
00:22:03,680 --> 00:22:06,399
Speaker 3: I know the sandwich graphic goes on for a bit.

455
00:22:06,680 --> 00:22:09,199
Speaker 3: The most you listened to was okay. Now look now

456
00:22:09,240 --> 00:22:10,320
Speaker 3: it's showing you Okay.

457
00:22:10,800 --> 00:22:14,680
Speaker 4: Rap was number one. I was just surprised. I guess

458
00:22:14,720 --> 00:22:17,119
Speaker 4: I can really listen to a lot of rap at

459
00:22:17,160 --> 00:22:18,760
Speaker 4: the end of the year, because I was whenever I

460
00:22:18,880 --> 00:22:21,240
Speaker 4: work out, I listened to like hardcore rap to really

461
00:22:21,320 --> 00:22:25,399
Speaker 4: pump me up. Yeah, from like the Creed soundtrack or something.

462
00:22:25,960 --> 00:22:30,600
Speaker 3: Okay, people there, Oh it's not you don't listen to Creed.

463
00:22:30,680 --> 00:22:31,880
Speaker 3: You listen to the Creed.

464
00:22:31,760 --> 00:22:35,560
Speaker 4: Breed soundtrack with Michael B. Jordan. You played two thousand songs.

465
00:22:35,600 --> 00:22:40,040
Speaker 4: One really connected. It was the main theme from The

466
00:22:40,160 --> 00:22:43,560
Speaker 4: Dark Knight Rises. Oh, because I listened to that when

467
00:22:43,560 --> 00:22:47,560
Speaker 4: I'm writing. What it's like. It's like it's like a classical,

468
00:22:47,760 --> 00:22:50,200
Speaker 4: intense music. I just listened to it. What I do

469
00:22:50,560 --> 00:22:54,240
Speaker 4: is I listened to it over and over again on repeat. Yeah.

470
00:22:55,080 --> 00:22:57,200
Speaker 4: So the main theme from The Dark Knight Rises is

471
00:22:57,240 --> 00:23:00,399
Speaker 4: my number one song. And then number too is you

472
00:23:00,480 --> 00:23:03,200
Speaker 4: make Me Feel Like Dancing? Stop?

473
00:23:04,240 --> 00:23:05,240
Speaker 2: Wait, what's that one?

474
00:23:05,960 --> 00:23:06,440
Speaker 4: Dancing?

475
00:23:06,640 --> 00:23:07,280
Speaker 3: I want to dance?

476
00:23:07,480 --> 00:23:12,040
Speaker 2: Dan, that's not a great song.

477
00:23:13,160 --> 00:23:15,160
Speaker 4: When do you listen to that? What are you doing?

478
00:23:15,600 --> 00:23:17,879
Speaker 4: I think I used to listen to that every morning. Uh,

479
00:23:18,160 --> 00:23:20,360
Speaker 4: and when I get up to make myself feel better

480
00:23:20,400 --> 00:23:21,040
Speaker 4: about my life.

481
00:23:21,080 --> 00:23:22,200
Speaker 2: That's so cute.

482
00:23:23,680 --> 00:23:26,280
Speaker 4: And then get Out of My Way, which is a

483
00:23:26,560 --> 00:23:29,280
Speaker 4: rap song that is really good for working out too,

484
00:23:29,800 --> 00:23:32,920
Speaker 4: and then a Game of Thrones soundtrack because I would

485
00:23:32,920 --> 00:23:34,840
Speaker 4: listen to that when I was writing, and then another

486
00:23:35,920 --> 00:23:38,560
Speaker 4: a song from Creed. These are weird, I mean, this

487
00:23:38,680 --> 00:23:40,320
Speaker 4: is like a wait, mine tells me?

488
00:23:40,520 --> 00:23:41,800
Speaker 3: So I thought it was going to tell me where

489
00:23:41,840 --> 00:23:44,680
Speaker 3: I like, what's where my music is from? Because it's

490
00:23:44,720 --> 00:23:47,680
Speaker 3: like you're listening all over the world. It's where you live.

491
00:23:48,080 --> 00:23:51,879
Speaker 3: What what city in the world you listened most? Like,

492
00:23:52,720 --> 00:23:56,320
Speaker 3: Oh wow, I feel pretty cool. Mine's Cambridge, Massachusetts.

493
00:23:56,480 --> 00:23:59,680
Speaker 4: Oh wow, very smart? Harvard? Baby wow, I was just

494
00:23:59,800 --> 00:24:06,080
Speaker 4: in Cambridge. Oh yeah, very smart. Mine is Saint Louis Epispo,

495
00:24:06,200 --> 00:24:07,240
Speaker 4: which is where Apple is.

496
00:24:08,200 --> 00:24:10,560
Speaker 2: Really that's where she's for.

497
00:24:10,760 --> 00:24:15,120
Speaker 3: I think that's where she's No, that's Copertino, San Louibispo

498
00:24:15,160 --> 00:24:16,159
Speaker 3: is where cal Polly is.

499
00:24:16,359 --> 00:24:18,400
Speaker 4: Oh yes, I'm I'm a big cal poly guy.

500
00:24:19,119 --> 00:24:21,080
Speaker 2: Okay, yes, thought people.

501
00:24:21,119 --> 00:24:23,160
Speaker 4: They are far more likely to be fans of Duckworth,

502
00:24:23,280 --> 00:24:24,840
Speaker 4: asap Ferg and Dreamville.

503
00:24:25,359 --> 00:24:31,520
Speaker 3: Just like, Oh my god, my number one song was

504
00:24:32,200 --> 00:24:35,760
Speaker 3: released July seventh, so I've only had since July seventh

505
00:24:35,880 --> 00:24:37,760
Speaker 3: to listen to it, and I listened to it.

506
00:24:37,800 --> 00:24:39,159
Speaker 2: Did you tell you how many times you listened to

507
00:24:39,200 --> 00:24:39,680
Speaker 2: that one song?

508
00:24:40,119 --> 00:24:43,200
Speaker 4: No? Yeah, no, I have more things to go through.

509
00:24:43,320 --> 00:24:45,320
Speaker 3: What I really want to know it should be the

510
00:24:45,359 --> 00:24:48,159
Speaker 3: fourth slide, the fourth slide. Yeah, I'll tell you how

511
00:24:48,240 --> 00:24:50,439
Speaker 3: many Okay, you.

512
00:24:50,520 --> 00:24:52,359
Speaker 4: Had room in your heart for more than for more

513
00:24:52,440 --> 00:24:55,840
Speaker 4: than one favorite, it says, Oh, it doesn't tell me

514
00:24:55,920 --> 00:24:56,880
Speaker 4: that I listened to one song.

515
00:24:58,080 --> 00:24:59,440
Speaker 2: Sorry, Then that's the slide before that.

516
00:25:00,920 --> 00:25:03,480
Speaker 4: You played twenty four hundred and seventy nine songs in

517
00:25:03,520 --> 00:25:06,520
Speaker 4: twenty twenty three, and there was really only one that

518
00:25:06,680 --> 00:25:10,640
Speaker 4: connected Hans Zimmern' kid, this is your.

519
00:25:10,640 --> 00:25:11,600
Speaker 2: Most place.

520
00:25:14,000 --> 00:25:15,920
Speaker 4: The Dark Night Rise.

521
00:25:16,119 --> 00:25:18,120
Speaker 2: Wow, okay, how many times.

522
00:25:18,080 --> 00:25:20,520
Speaker 4: You played it? One hundred and seventeen times this year?

523
00:25:20,720 --> 00:25:21,640
Speaker 4: So not that many.

524
00:25:21,760 --> 00:25:23,240
Speaker 2: That's pretty that's pretty many.

525
00:25:23,600 --> 00:25:23,800
Speaker 3: Yeah.

526
00:25:24,320 --> 00:25:26,840
Speaker 2: Mine was you played fourteen hundred and eighty six songs,

527
00:25:26,840 --> 00:25:27,159
Speaker 2: which is.

528
00:25:27,160 --> 00:25:30,840
Speaker 4: Way less than you. Yeah. I have a lot of genres, and.

529
00:25:30,880 --> 00:25:34,360
Speaker 3: There's one that really connected, and it was Taylor Swifts

530
00:25:35,440 --> 00:25:40,879
Speaker 3: I can see you from the vault from speaking now vault,

531
00:25:41,280 --> 00:25:43,680
Speaker 3: and I played it one hundred and twelve times, which

532
00:25:43,720 --> 00:25:48,600
Speaker 3: seems low to me since July seventh, but only that

533
00:25:48,760 --> 00:25:51,040
Speaker 3: was my favorite song to listen to on a treadmill

534
00:25:51,520 --> 00:25:55,240
Speaker 3: and also in the shower for like pretty much all

535
00:25:55,480 --> 00:25:58,760
Speaker 3: of August and September. I was listening to that song

536
00:25:58,800 --> 00:26:02,120
Speaker 3: when I showered. It was I couldn't even shower so fast.

537
00:26:02,160 --> 00:26:03,760
Speaker 3: I would barely get through the song. But I just

538
00:26:03,840 --> 00:26:06,280
Speaker 3: I would pretend that because it's a song about like

539
00:26:07,560 --> 00:26:10,680
Speaker 3: when you like you're you are, like having a crush

540
00:26:10,760 --> 00:26:14,119
Speaker 3: on someone and you can't be together and they and

541
00:26:14,320 --> 00:26:17,280
Speaker 3: like everyone knows, but like no one knows, no one

542
00:26:17,400 --> 00:26:20,200
Speaker 3: can know. It's like my favorite kind of like fantasy

543
00:26:20,880 --> 00:26:24,240
Speaker 3: is when two people like each other and they can't

544
00:26:24,359 --> 00:26:29,240
Speaker 3: tell anyone and it's super hot and they're and it's yeah,

545
00:26:29,400 --> 00:26:31,000
Speaker 3: so it's a romance novels.

546
00:26:31,920 --> 00:26:34,159
Speaker 4: No, I feel like you'd get real horned up for

547
00:26:34,240 --> 00:26:35,160
Speaker 4: a romance novel.

548
00:26:35,320 --> 00:26:37,679
Speaker 3: Yeah, maybe watching all those crime docs.

549
00:26:38,160 --> 00:26:41,720
Speaker 4: Yeah, I know, I like people get hit with the

550
00:26:41,760 --> 00:26:43,960
Speaker 4: hammers while your boyfriend tells you your tits need to

551
00:26:44,080 --> 00:26:46,760
Speaker 4: be bigger romance novels.

552
00:26:47,640 --> 00:26:48,600
Speaker 2: Romance novels.

553
00:26:48,800 --> 00:26:48,840
Speaker 4: No.

554
00:26:49,000 --> 00:26:51,200
Speaker 3: By the way, Kristen confirmed that I have the best

555
00:26:51,320 --> 00:26:53,720
Speaker 3: hits that he could imagine, and so that was nice

556
00:26:53,760 --> 00:26:57,840
Speaker 3: and I want to exactly exactly. Big does not equal

557
00:26:57,960 --> 00:27:02,760
Speaker 3: good all the time, but he But yeah, I think

558
00:27:03,080 --> 00:27:08,080
Speaker 3: romance novels for me are too saccharine and too like

559
00:27:09,200 --> 00:27:13,520
Speaker 3: they're they they don't cause I've never been horny from

560
00:27:13,600 --> 00:27:16,119
Speaker 3: I've read books where there's been like love interests, like

561
00:27:16,200 --> 00:27:17,960
Speaker 3: will they won't they and it doesn't do for me

562
00:27:18,160 --> 00:27:20,520
Speaker 3: what certain scenes and movies.

563
00:27:20,880 --> 00:27:24,600
Speaker 4: I'm a pretty visual You watch Bridgerton.

564
00:27:24,280 --> 00:27:26,600
Speaker 2: Yeah that was kind of hot, but it wasn't super hot.

565
00:27:26,800 --> 00:27:30,040
Speaker 3: Like I made Chris watch this movie the other day,

566
00:27:30,119 --> 00:27:33,600
Speaker 3: My favorite movie ever, The Worst Person in the World.

567
00:27:33,640 --> 00:27:37,120
Speaker 3: It's Norwegian film and there is a scene this girl

568
00:27:37,200 --> 00:27:38,960
Speaker 3: like cheats on her boyfriend. It's not the best movie

569
00:27:39,000 --> 00:27:40,480
Speaker 3: to watch with her boyfriend. Be like I love this

570
00:27:40,640 --> 00:27:43,320
Speaker 3: movie and the girls like just cheating on him wildly but.

571
00:27:45,000 --> 00:27:45,480
Speaker 2: Wildly.

572
00:27:46,200 --> 00:27:48,639
Speaker 4: Yeah, Like she just makes a decision.

573
00:27:48,280 --> 00:27:49,159
Speaker 2: And then goes for it.

574
00:27:49,480 --> 00:27:53,680
Speaker 3: But it it is so hot to me when two

575
00:27:53,920 --> 00:27:57,960
Speaker 3: people really want to but they can't and they won't.

576
00:27:58,280 --> 00:28:01,840
Speaker 2: They they'll do everything except like, oh, I love it

577
00:28:02,000 --> 00:28:02,440
Speaker 2: so much.

578
00:28:02,520 --> 00:28:04,480
Speaker 3: Like if I were to role play with Chris, it

579
00:28:04,480 --> 00:28:08,000
Speaker 3: would be like us, we're in relationships with other people

580
00:28:08,200 --> 00:28:11,680
Speaker 3: and we're like cheating with each other. Like that's which

581
00:28:11,720 --> 00:28:15,000
Speaker 3: is unfortunate because it's like it the thing that turns

582
00:28:15,119 --> 00:28:18,920
Speaker 3: me on is like doing a like betraying someone I love.

583
00:28:19,440 --> 00:28:23,000
Speaker 3: It's like inherently in the fantasy. But I just like

584
00:28:23,040 --> 00:28:27,680
Speaker 3: it and I can see you, Yeah, I gotta have.

585
00:28:27,760 --> 00:28:30,400
Speaker 4: It's all about the visual or about what's happening. It's

586
00:28:30,400 --> 00:28:33,200
Speaker 4: got to be the mental aspect that leads up to it.

587
00:28:34,040 --> 00:28:35,760
Speaker 3: Well, it's got to be that we can't ever be

588
00:28:35,880 --> 00:28:38,640
Speaker 3: together because I'm scared of intimacy, so I don't really

589
00:28:38,840 --> 00:28:41,640
Speaker 3: want us to ever be together. So my my dream

590
00:28:41,880 --> 00:28:44,360
Speaker 3: is to never have a chance to actually be with you.

591
00:28:44,760 --> 00:28:46,520
Speaker 3: I don't know why I don't have more crushes on

592
00:28:46,600 --> 00:28:49,960
Speaker 3: people in prison. Yeah, because that's the ultimate. I can't

593
00:28:50,000 --> 00:28:50,440
Speaker 3: be with them.

594
00:28:51,560 --> 00:28:54,720
Speaker 4: Really, A horned up book called Romeo and Juliet.

595
00:28:57,000 --> 00:28:58,920
Speaker 2: I think that's what I think. That's what fucking did

596
00:28:58,960 --> 00:29:01,760
Speaker 2: it to me is that movie in eighth grade.

597
00:29:01,840 --> 00:29:06,840
Speaker 4: It's got everything on request. It's got suicide teens, it's.

598
00:29:06,720 --> 00:29:09,800
Speaker 3: Got a fish tank, it's got kissing in a pool,

599
00:29:10,320 --> 00:29:12,680
Speaker 3: it's got suicide.

600
00:29:13,040 --> 00:29:14,080
Speaker 4: Yeah, I love it.

601
00:29:14,320 --> 00:29:17,120
Speaker 3: I loved everything about that movie. It's that That what

602
00:29:17,320 --> 00:29:21,400
Speaker 3: I think that really did affect my brain today to

603
00:29:21,680 --> 00:29:25,040
Speaker 3: talk about that. Yeah, I have never heard of it.

604
00:29:25,160 --> 00:29:30,000
Speaker 3: But there's just a movie that I really loved. Boz

605
00:29:30,120 --> 00:29:31,760
Speaker 3: Lerman wrote this.

606
00:29:31,880 --> 00:29:36,720
Speaker 4: Movie, beist movie deep Water that came. Yes, I did.

607
00:29:37,160 --> 00:29:40,800
Speaker 3: That was no because she, like he knew she was

608
00:29:40,880 --> 00:29:43,480
Speaker 3: cheating on him, and so it's not fun. Like he

609
00:29:43,680 --> 00:29:45,840
Speaker 3: knew he was being cooked and that's no fun, Like

610
00:29:46,000 --> 00:29:48,480
Speaker 3: I need them to be like getting.

611
00:29:48,240 --> 00:29:52,760
Speaker 2: Away with it. Yeah, well I never cheated on anyone, by.

612
00:29:52,680 --> 00:29:54,560
Speaker 3: The way, so this isn't I've been a part of

613
00:29:54,760 --> 00:29:57,720
Speaker 3: being I've I've been with men who are cheating on

614
00:29:57,760 --> 00:30:00,240
Speaker 3: their girlfriend, and that, sorry, has turned me on in

615
00:30:00,280 --> 00:30:00,640
Speaker 3: the past.

616
00:30:00,760 --> 00:30:02,920
Speaker 2: I hate to say it, but I've never I don't.

617
00:30:03,120 --> 00:30:05,200
Speaker 2: I don't know what. I don't like the idea of

618
00:30:05,640 --> 00:30:06,680
Speaker 2: I guess I yeah.

619
00:30:06,880 --> 00:30:10,400
Speaker 3: I just like when two people like they wish they

620
00:30:10,400 --> 00:30:13,760
Speaker 3: could be together and like if circumstances were different, we would,

621
00:30:14,000 --> 00:30:16,880
Speaker 3: but we can't. Like that is so hot to me,

622
00:30:17,080 --> 00:30:20,200
Speaker 3: Like if this dumb woman didn't exist, like it would

623
00:30:20,240 --> 00:30:23,720
Speaker 3: be us because that is so many times, Like think

624
00:30:23,800 --> 00:30:27,240
Speaker 3: of how many shows you root for a person who's

625
00:30:27,320 --> 00:30:30,160
Speaker 3: cheating on his girlfriend to be with the girl, but

626
00:30:30,280 --> 00:30:33,720
Speaker 3: then in real life we go, how dare she? That's

627
00:30:33,840 --> 00:30:37,400
Speaker 3: the way, he's such a fucking scum. But in Friends.

628
00:30:37,440 --> 00:30:40,160
Speaker 3: I've made this point before, but it's so funny how

629
00:30:40,200 --> 00:30:42,560
Speaker 3: we pick and choose, like a man who cheats is

630
00:30:42,600 --> 00:30:45,360
Speaker 3: a fucking Doug and then we go like.

631
00:30:45,880 --> 00:30:49,120
Speaker 2: God, Ross, leave Julie, go for Rachel.

632
00:30:49,800 --> 00:30:56,640
Speaker 5: Every single plot to every every you know, oh, Ross leave, Uh, Emma,

633
00:30:57,080 --> 00:31:02,000
Speaker 5: go for go for Rachel, go for Jim Pam Gopher, Jim,

634
00:31:02,920 --> 00:31:07,880
Speaker 5: Meg Ryan leave, Greg Kinnear, Meg Ryan Leave, Bill Pullman, Gopher,

635
00:31:08,000 --> 00:31:10,880
Speaker 5: Tom hangs Like every single time we're rooting for people.

636
00:31:10,720 --> 00:31:14,160
Speaker 4: To cheat, trying to break up with people. That's really

637
00:31:14,440 --> 00:31:16,800
Speaker 4: really Maybe that is what we really liked. It's great

638
00:31:16,840 --> 00:31:18,120
Speaker 4: to see her breaking up with someone.

639
00:31:18,840 --> 00:31:21,160
Speaker 3: Yeah, okay, what I had roomined my heart for one

640
00:31:21,240 --> 00:31:23,200
Speaker 3: more favorite you romantic you.

641
00:31:23,400 --> 00:31:25,760
Speaker 2: Oh God. I hate when they, like an ed bot

642
00:31:25,920 --> 00:31:27,560
Speaker 2: talks to you like it's your front.

643
00:31:27,640 --> 00:31:28,520
Speaker 4: Yeah, no, no, thank you.

644
00:31:28,720 --> 00:31:30,760
Speaker 2: Spotify, just tell me what I need to know.

645
00:31:31,400 --> 00:31:34,880
Speaker 3: My top songs were I Can See You by Taylor

646
00:31:34,920 --> 00:31:39,640
Speaker 3: Swift number two, which I predicted on my Instagram story.

647
00:31:39,720 --> 00:31:42,000
Speaker 3: I thought this was gonna win my Spotify Route because

648
00:31:42,000 --> 00:31:44,280
Speaker 3: I was so obsessed with it. Not Strong Enough by

649
00:31:44,360 --> 00:31:47,680
Speaker 3: Boy Genius, one of the best songs ever. Number three,

650
00:31:47,880 --> 00:31:50,800
Speaker 3: You're on Your Own Kid, which came out last year.

651
00:31:51,000 --> 00:31:53,000
Speaker 3: I don't know that if it made Spotify Route last

652
00:31:53,080 --> 00:31:54,760
Speaker 3: year because it came out in late October last year,

653
00:31:54,760 --> 00:31:58,440
Speaker 3: so probably didn't make it. Lavender Hayes Taylor Swift, and

654
00:31:58,600 --> 00:32:02,640
Speaker 3: then number five the National new order t shirt, which

655
00:32:02,800 --> 00:32:05,280
Speaker 3: is one of my favorite songs of all time too,

656
00:32:05,320 --> 00:32:08,040
Speaker 3: and I really got into that probably two months ago.

657
00:32:08,120 --> 00:32:09,960
Speaker 2: I was like listening to it on repeat.

658
00:32:09,680 --> 00:32:14,560
Speaker 4: For songs and three others three Swift, two others. Well,

659
00:32:14,600 --> 00:32:16,640
Speaker 4: what I'm really interested in this is probably your point

660
00:32:16,680 --> 00:32:20,640
Speaker 4: of pride, is what percentage of Swifties you're in? Does it?

661
00:32:20,720 --> 00:32:21,680
Speaker 4: Did it do that this year?

662
00:32:22,040 --> 00:32:22,160
Speaker 3: Oh?

663
00:32:22,200 --> 00:32:26,200
Speaker 4: Yeah it did? Okay, Well that's let's that's the headliner

664
00:32:26,320 --> 00:32:29,280
Speaker 4: of this little segment is what percentage.

665
00:32:30,840 --> 00:32:33,360
Speaker 3: I'm happy to tell you that I am in the

666
00:32:33,440 --> 00:32:36,960
Speaker 3: one percent? Oh my, seriously, Yes, I made it to

667
00:32:37,000 --> 00:32:40,880
Speaker 3: the one percent. My peak listening month for Taylor was October.

668
00:32:42,640 --> 00:32:45,440
Speaker 3: I uh, yes I did. I'm very excited to tell

669
00:32:45,480 --> 00:32:47,320
Speaker 3: everyone I did make it in the top one percent.

670
00:32:47,560 --> 00:32:51,520
Speaker 3: And then Taylor Swift also like made a special message

671
00:32:51,600 --> 00:32:53,600
Speaker 3: for all the people who listened the most.

672
00:32:53,760 --> 00:32:55,040
Speaker 4: Really, so I got that.

673
00:32:55,760 --> 00:32:58,880
Speaker 3: Yeah, she's like backstage and her lover outfit from tour

674
00:32:59,480 --> 00:33:02,320
Speaker 3: and shed a special note. But yeah, I got one percent,

675
00:33:03,160 --> 00:33:06,640
Speaker 3: which I'm very happy about it, thank you. Although I

676
00:33:06,840 --> 00:33:09,160
Speaker 3: do there are people that are gonna get I mean,

677
00:33:09,200 --> 00:33:11,160
Speaker 3: I've been in the Taylor Swift subreddit and it's like

678
00:33:11,520 --> 00:33:14,480
Speaker 3: girls are in the point one percent point oh two percent.

679
00:33:14,760 --> 00:33:16,680
Speaker 3: I mean, it will give you like all the way

680
00:33:16,760 --> 00:33:19,360
Speaker 3: up to that, so it's not it's pretty good because

681
00:33:19,400 --> 00:33:21,360
Speaker 3: Taylor Swift is the most popular artist on the planet

682
00:33:21,560 --> 00:33:23,960
Speaker 3: next to Bad Bunny, which I don't couldn't name one song,

683
00:33:24,040 --> 00:33:29,080
Speaker 3: but honestly, bad Bunny. I mean, I know it's not

684
00:33:29,120 --> 00:33:32,280
Speaker 3: in our language, so that's probably, but I couldn't even

685
00:33:32,320 --> 00:33:34,960
Speaker 3: recognize the sound of Bad Bunny, and that's on me.

686
00:33:35,440 --> 00:33:38,440
Speaker 3: I should have watched his l That is a great question,

687
00:33:38,560 --> 00:33:40,360
Speaker 3: and I don't know. I don't know the answer to it,

688
00:33:41,800 --> 00:33:44,560
Speaker 3: but yeah, it feels good to be in the one percent.

689
00:33:44,720 --> 00:33:47,080
Speaker 3: It's an exciting day. I really thought I wasn't gonna

690
00:33:47,080 --> 00:33:49,480
Speaker 3: win because she's gotten so popular over the past year.

691
00:33:49,480 --> 00:33:51,080
Speaker 3: I thought, there's no way I'm gonna make in the

692
00:33:51,120 --> 00:33:54,200
Speaker 3: one percent. I don't listen all the time. There are

693
00:33:54,240 --> 00:33:57,440
Speaker 3: Swifties that leave their phones on constantly because of this moment.

694
00:33:57,560 --> 00:34:01,600
Speaker 3: They want Spotify wrapped point one percent, and so they're

695
00:34:01,640 --> 00:34:03,520
Speaker 3: gonna get it. I wasn't trying and I gott in

696
00:34:03,520 --> 00:34:05,040
Speaker 3: the one percent, so I'm pretty proud of that.

697
00:34:05,200 --> 00:34:06,920
Speaker 4: I wonder if I'm in the one percent of Hans

698
00:34:07,040 --> 00:34:08,480
Speaker 4: Zimmer listeners.

699
00:34:10,360 --> 00:34:11,400
Speaker 2: Probably the only.

700
00:34:13,239 --> 00:34:18,720
Speaker 4: Imagine Zimmer listeners. You are the only one that listened

701
00:34:18,719 --> 00:34:19,440
Speaker 4: to Hans Zimmer.

702
00:34:22,000 --> 00:34:25,120
Speaker 3: I speaking of like listening to something when you're working,

703
00:34:25,360 --> 00:34:28,480
Speaker 3: I like, when I'm writing, I feel like the best

704
00:34:28,680 --> 00:34:30,680
Speaker 3: music is something you are.

705
00:34:31,440 --> 00:34:33,600
Speaker 2: You don't know the words too fully.

706
00:34:33,880 --> 00:34:35,359
Speaker 4: Or there can't be any words.

707
00:34:35,400 --> 00:34:39,640
Speaker 3: Yeah, instrumental. I would imagine that's true. I like, I,

708
00:34:39,880 --> 00:34:42,960
Speaker 3: for some reason have liked stuff that I don't really

709
00:34:43,080 --> 00:34:44,080
Speaker 3: know the full words too.

710
00:34:44,160 --> 00:34:46,160
Speaker 2: But I'm like wanting to learn the words too, but

711
00:34:46,200 --> 00:34:47,120
Speaker 2: I'm not focused on.

712
00:34:47,200 --> 00:34:47,719
Speaker 4: It too much.

713
00:34:48,200 --> 00:34:51,160
Speaker 3: And so the other day I got obsessed with the

714
00:34:51,360 --> 00:34:57,000
Speaker 3: song that I've only heard on tiktoks really okay up until,

715
00:34:57,560 --> 00:35:00,000
Speaker 3: like I guess it was two weeks ago. I would

716
00:35:00,320 --> 00:35:03,879
Speaker 3: where was I. I was in Portland, which I called

717
00:35:03,920 --> 00:35:06,040
Speaker 3: Seattle from stage. By the way, it was so embarrassing.

718
00:35:06,520 --> 00:35:10,120
Speaker 3: I was in Portland and on stage I called them Seattle.

719
00:35:10,680 --> 00:35:14,040
Speaker 3: But then I go, what's the fucking difference? And they

720
00:35:14,160 --> 00:35:18,759
Speaker 3: laughed because I felt raining outside it's cold, there's it

721
00:35:18,840 --> 00:35:23,960
Speaker 3: feels amphibious outside. You guys are all wearing marmot jackets.

722
00:35:25,880 --> 00:35:28,439
Speaker 3: Come on, you know, like but and I go, I said,

723
00:35:28,440 --> 00:35:29,839
Speaker 3: Seattle because I'm taping a special there.

724
00:35:29,840 --> 00:35:30,239
Speaker 4: I'm sorry.

725
00:35:30,280 --> 00:35:32,440
Speaker 3: I felt so bad because I would be so pissed

726
00:35:32,440 --> 00:35:34,759
Speaker 3: if someone came to Saint Louis and was like, Kansas City,

727
00:35:34,800 --> 00:35:36,720
Speaker 3: what's the And I made a joke of what's the difference,

728
00:35:36,800 --> 00:35:38,800
Speaker 3: Like obviously I was trying to be funny, but I

729
00:35:38,880 --> 00:35:40,400
Speaker 3: felt I couldn't get it out of my head. Like

730
00:35:40,480 --> 00:35:43,600
Speaker 3: the rest of my set, I was just like so embarrassed,

731
00:35:44,080 --> 00:35:46,520
Speaker 3: so sad, wanting to make it up to them. I

732
00:35:46,600 --> 00:35:49,640
Speaker 3: felt like I all I owed them refunds for their tickets,

733
00:35:49,719 --> 00:35:51,600
Speaker 3: like it was like this weird shame spiral. I went

734
00:35:51,640 --> 00:35:53,680
Speaker 3: in too, but I was in Portland and I was

735
00:35:53,719 --> 00:35:56,040
Speaker 3: writing all day, working on my special before my show

736
00:35:56,360 --> 00:35:59,480
Speaker 3: out a Starbucks, and in my headphones, I was playing

737
00:36:00,719 --> 00:36:03,680
Speaker 3: this new this song I'd only heard on TikTok's or

738
00:36:03,800 --> 00:36:06,760
Speaker 3: like on reels or reposts, because I don't go on TikTok.

739
00:36:06,920 --> 00:36:09,919
Speaker 3: And I always have to just say that because people

740
00:36:09,960 --> 00:36:11,920
Speaker 3: are going to be like, she's lying, she is on TikTok,

741
00:36:11,960 --> 00:36:14,279
Speaker 3: But I really and I'm not. I am kind of

742
00:36:14,280 --> 00:36:16,160
Speaker 3: proud of myself for it, because it's like trying. It's

743
00:36:16,200 --> 00:36:18,239
Speaker 3: like trying not to vape when you have a vape

744
00:36:18,320 --> 00:36:22,160
Speaker 3: on your phone, and I think it's I think TikTok

745
00:36:22,280 --> 00:36:24,560
Speaker 3: is true. It's the it's the number one app that

746
00:36:24,560 --> 00:36:25,200
Speaker 3: everyone spends the.

747
00:36:25,200 --> 00:36:25,680
Speaker 2: Most time on.

748
00:36:25,840 --> 00:36:27,240
Speaker 4: I think now it's TikTok.

749
00:36:28,160 --> 00:36:30,080
Speaker 3: It's yeah, TikTok is I think the one that's the

750
00:36:30,120 --> 00:36:32,719
Speaker 3: biggest time suck. I saw some graph recently, and I

751
00:36:32,760 --> 00:36:37,640
Speaker 3: think it's the number one that everyone's losing their killing teenagers, right.

752
00:36:38,040 --> 00:36:40,000
Speaker 4: I just I think it does have the most views.

753
00:36:40,040 --> 00:36:42,880
Speaker 4: I mean, but it definitely has the it's the most views,

754
00:36:42,960 --> 00:36:47,640
Speaker 4: but it's not the most substantial viewership, Like it doesn't

755
00:36:47,680 --> 00:36:50,759
Speaker 4: really mean as much what people do on TikTok as

756
00:36:50,760 --> 00:36:51,120
Speaker 4: It doesn't.

757
00:36:51,120 --> 00:36:54,560
Speaker 2: That's what I'm saying. It's it's what they're doing. It's

758
00:36:54,840 --> 00:36:56,360
Speaker 2: they're not even getting anything out of it.

759
00:36:56,640 --> 00:37:00,320
Speaker 3: I mean maybe some people are, but brain damage. But

760
00:37:00,400 --> 00:37:03,440
Speaker 3: there's this one song. Wait, do you want TikTok to

761
00:37:03,560 --> 00:37:05,719
Speaker 3: whatt do you ever go on? No? No, really you

762
00:37:06,200 --> 00:37:08,359
Speaker 3: I want to abstain from it. I wish I didn't

763
00:37:08,360 --> 00:37:10,600
Speaker 3: go on any social media like Instagram.

764
00:37:11,440 --> 00:37:14,520
Speaker 2: Yeah, but Instagram, you you do do?

765
00:37:15,400 --> 00:37:15,800
Speaker 3: I do do?

766
00:37:16,640 --> 00:37:18,160
Speaker 2: And then how often do you do that?

767
00:37:19,320 --> 00:37:21,520
Speaker 3: Probably like through the day especially when I'm bored or

768
00:37:21,600 --> 00:37:24,480
Speaker 3: like waiting for audio to render, I just scroll through.

769
00:37:25,040 --> 00:37:25,960
Speaker 4: Okay, and you don't.

770
00:37:26,000 --> 00:37:27,520
Speaker 2: You don't do it YouTube ever.

771
00:37:28,800 --> 00:37:31,440
Speaker 3: Uh not unless I'm looking for like a podcast or

772
00:37:32,040 --> 00:37:34,360
Speaker 3: like a particular thing. I used to not be a

773
00:37:34,440 --> 00:37:37,000
Speaker 3: YouTuber either, Like I'm like, why do people just go

774
00:37:37,160 --> 00:37:40,640
Speaker 3: on YouTube and just like let videos roll into each other?

775
00:37:40,760 --> 00:37:42,400
Speaker 4: Or like you just what do you do?

776
00:37:42,800 --> 00:37:44,600
Speaker 3: Like I only go to YouTube to like look up

777
00:37:44,640 --> 00:37:47,640
Speaker 3: a certain video. But now that I'm subscribed to certain

778
00:37:47,680 --> 00:37:50,319
Speaker 3: things and it knows what I like, Like I can

779
00:37:50,440 --> 00:37:53,560
Speaker 3: go on the home thing and it's it's serving me

780
00:37:53,640 --> 00:37:54,040
Speaker 3: up stuff.

781
00:37:54,040 --> 00:37:56,239
Speaker 4: I like you has the best algorithm. It knows what

782
00:37:56,320 --> 00:37:58,719
Speaker 4: you want to watch before you even realize you want to.

783
00:37:58,719 --> 00:37:59,720
Speaker 2: Watch it, truly.

784
00:38:00,080 --> 00:38:03,200
Speaker 4: And what's great about YouTube is that it's longer form content.

785
00:38:03,360 --> 00:38:05,640
Speaker 4: So like if you're on Instagram or TikTok, you have

786
00:38:05,719 --> 00:38:08,560
Speaker 4: to constantly be interacting with your phone, whereas like if

787
00:38:08,600 --> 00:38:11,280
Speaker 4: you're cooking or something and you just want some quote

788
00:38:11,360 --> 00:38:13,839
Speaker 4: unquote content to be playing, you can just hit play

789
00:38:14,320 --> 00:38:16,720
Speaker 4: on a twenty minute YouTube video and it's just someone

790
00:38:16,840 --> 00:38:20,240
Speaker 4: talking or whatever. Sometimes it's the Nikki Glazer podcast on YouTube,

791
00:38:20,480 --> 00:38:23,279
Speaker 4: but other times it's just like whatever, it's just gonna

792
00:38:23,280 --> 00:38:25,719
Speaker 4: be anything, and it's just background noise most of the

793
00:38:25,840 --> 00:38:28,719
Speaker 4: time that you don't have to keep interacting with, which

794
00:38:28,760 --> 00:38:31,640
Speaker 4: is why TikTok is flawed, because you have to like

795
00:38:31,800 --> 00:38:35,640
Speaker 4: constantly touch TikTok in order for it to keep serving content.

796
00:38:35,760 --> 00:38:37,560
Speaker 4: Or also, I'll just show you the same thirty seconds

797
00:38:37,600 --> 00:38:39,160
Speaker 4: on repeat, over and over again.

798
00:38:40,120 --> 00:38:43,799
Speaker 3: Can I ask a question and I want someone's got

799
00:38:43,880 --> 00:38:45,440
Speaker 3: to help. If you guys don't do TikTok, so I

800
00:38:45,440 --> 00:38:46,719
Speaker 3: don't think you'll know the answer to this.

801
00:38:46,880 --> 00:38:49,320
Speaker 4: I do TikTok, you do, okay?

802
00:38:49,600 --> 00:38:53,120
Speaker 3: Why on TikTok's when a girl is like telling a

803
00:38:53,239 --> 00:38:57,000
Speaker 3: story or whatever, do they constantly like have to touch it,

804
00:38:57,320 --> 00:38:59,080
Speaker 3: Like after they go like, okay, I'm telling a story

805
00:38:59,120 --> 00:39:01,080
Speaker 3: and they're like and then he there, and then they

806
00:39:01,160 --> 00:39:02,879
Speaker 3: touch again, and then it like goes to the next

807
00:39:03,080 --> 00:39:06,800
Speaker 3: Like why why can't they just tell the whole story

808
00:39:06,840 --> 00:39:07,719
Speaker 3: and then edit it later?

809
00:39:07,800 --> 00:39:09,200
Speaker 2: Why do they keep touching it?

810
00:39:10,000 --> 00:39:12,880
Speaker 4: I mean it might be the in app editing software

811
00:39:12,920 --> 00:39:15,920
Speaker 4: that they're using that they're touching it to stop and start?

812
00:39:16,680 --> 00:39:18,080
Speaker 2: Does anyone know what I'm talking about?

813
00:39:18,160 --> 00:39:21,000
Speaker 3: Like, I hope someone listening knows what she'll be like,

814
00:39:21,160 --> 00:39:23,080
Speaker 3: So I went to the store today and you know,

815
00:39:23,120 --> 00:39:25,319
Speaker 3: I usually take Gracie to the market around eleven am.

816
00:39:26,320 --> 00:39:28,279
Speaker 2: Click, So then we go it.

817
00:39:28,560 --> 00:39:31,279
Speaker 3: It's like, just tell the story and stop and then

818
00:39:31,320 --> 00:39:33,080
Speaker 3: why do we have to watch your arm go in

819
00:39:33,239 --> 00:39:36,280
Speaker 3: for the click every time around that? That's why I annoyed.

820
00:39:36,360 --> 00:39:38,520
Speaker 3: If it's an editing, then cut around your arm clicking

821
00:39:38,600 --> 00:39:40,680
Speaker 3: on it? Does it jump cut? Is it like an

822
00:39:40,719 --> 00:39:44,879
Speaker 3: intentional jump cut? It's it's a it's a jump cut

823
00:39:44,920 --> 00:39:47,080
Speaker 3: to the next thing. But they don't take out their

824
00:39:47,239 --> 00:39:49,120
Speaker 3: arm touching the thing like that's a part of it.

825
00:39:49,160 --> 00:39:50,880
Speaker 3: So we got to watch your arm go in to

826
00:39:51,000 --> 00:39:54,800
Speaker 3: press on the phone each time. It's so annoying. I

827
00:39:54,920 --> 00:39:55,520
Speaker 3: don't get it.

828
00:39:55,960 --> 00:39:56,520
Speaker 2: But anyway, like.

829
00:39:56,640 --> 00:39:58,680
Speaker 4: Such boomers, right, and we're like, we don't know who

830
00:39:58,800 --> 00:40:04,000
Speaker 4: bad Bunny is and why is it on TikTok to it?

831
00:40:04,200 --> 00:40:06,840
Speaker 3: Well, I will say Bad Bunny is probably a prolific

832
00:40:06,920 --> 00:40:09,239
Speaker 3: and amazing musician, and I just he's like the Pele

833
00:40:09,520 --> 00:40:11,840
Speaker 3: of music and I just have never heard, you know,

834
00:40:11,920 --> 00:40:15,000
Speaker 3: like I don't know, like he's he's messy, like he's

835
00:40:15,080 --> 00:40:17,960
Speaker 3: bigger than anyone I could ever imagine.

836
00:40:18,000 --> 00:40:19,719
Speaker 2: But I don't I'm somehow out of it. I am

837
00:40:19,960 --> 00:40:20,680
Speaker 2: a loser for that.

838
00:40:21,160 --> 00:40:23,520
Speaker 3: But this TikTok thing I'm not an old person is

839
00:40:23,760 --> 00:40:25,919
Speaker 3: just a waste of everyone's time. To see your arms

840
00:40:25,960 --> 00:40:28,719
Speaker 3: stretch forward to touch the thing, Well, I don't get it.

841
00:40:28,920 --> 00:40:31,399
Speaker 4: That's why they get passed by Lionel Messi, by the way,

842
00:40:32,040 --> 00:40:35,080
Speaker 4: number one amount of followers on Instagram. He has the

843
00:40:35,200 --> 00:40:36,200
Speaker 4: most out of anybody.

844
00:40:36,840 --> 00:40:39,800
Speaker 3: It doesn't surprise me anymore. It used to because I

845
00:40:39,920 --> 00:40:44,239
Speaker 3: was just like, who is this and why do so like?

846
00:40:45,320 --> 00:40:46,120
Speaker 3: But now I get it.

847
00:40:46,320 --> 00:40:49,440
Speaker 2: Soccer is every Did you know who Lione almost?

848
00:40:49,480 --> 00:40:49,680
Speaker 1: He was?

849
00:40:49,800 --> 00:40:50,800
Speaker 2: No, you look confused.

850
00:40:51,480 --> 00:40:53,680
Speaker 3: I thought he was like a tennis player. But soccer

851
00:40:53,760 --> 00:40:54,239
Speaker 3: makes sense.

852
00:40:59,040 --> 00:41:01,319
Speaker 4: Yeah, I return to the Spotify rapped real quick.

853
00:41:01,719 --> 00:41:03,279
Speaker 3: Yeah you so so.

854
00:41:03,440 --> 00:41:05,799
Speaker 4: My top artists are the guy who made the Game

855
00:41:05,840 --> 00:41:08,240
Speaker 4: of Throne soundtrack, and then Hans Zimmer, and then Billy

856
00:41:08,320 --> 00:41:11,360
Speaker 4: Joel and then Louis Prima and then Lindsay Sterling is

857
00:41:11,480 --> 00:41:14,400
Speaker 4: number five. I don't know who that is. I do

858
00:41:15,200 --> 00:41:19,280
Speaker 4: who is that? She's a violinist on the Hans Zimmer

859
00:41:19,640 --> 00:41:24,160
Speaker 4: song or something that you have someone you don't even know,

860
00:41:24,880 --> 00:41:29,000
Speaker 4: And then it says, hold up, there's someone on the

861
00:41:29,080 --> 00:41:31,759
Speaker 4: other line, and it's like, oh, who is it gonna be?

862
00:41:32,360 --> 00:41:35,200
Speaker 4: And then it's a video from Lindsay Sterling.

863
00:41:35,480 --> 00:41:38,040
Speaker 2: And she's thanking you for listening to her. I don't

864
00:41:38,040 --> 00:41:41,680
Speaker 2: even know who this youthing.

865
00:41:41,800 --> 00:41:43,839
Speaker 3: It looks like you're done Jack.

866
00:41:44,320 --> 00:41:48,360
Speaker 4: It does look a lot like that's so funny that Sterling.

867
00:41:48,520 --> 00:41:50,920
Speaker 4: But I don't even know that is if she likes you.

868
00:41:52,480 --> 00:41:57,560
Speaker 2: Rap is not uh to like four people, you're one

869
00:41:57,640 --> 00:41:58,000
Speaker 2: of them.

870
00:41:58,200 --> 00:42:00,239
Speaker 4: I mean, I'm I'm surprised they were able to get

871
00:42:00,280 --> 00:42:01,520
Speaker 4: Lindsay Sterling to do a video.

872
00:42:01,880 --> 00:42:04,680
Speaker 3: Can I just say about the YouTube algorithm? I get

873
00:42:04,800 --> 00:42:08,279
Speaker 3: sent like I will see myself pop up on there

874
00:42:08,360 --> 00:42:10,200
Speaker 3: all the time. I don't watch anything of myself but

875
00:42:10,320 --> 00:42:14,520
Speaker 3: there the other day. It's so embarrassing because my own

876
00:42:14,640 --> 00:42:18,080
Speaker 3: podcast has like four thousand views at most. But then

877
00:42:18,520 --> 00:42:21,120
Speaker 3: I will there will be a clip that's like Theovaughn

878
00:42:21,360 --> 00:42:23,600
Speaker 3: talks to these women. It's like the other day it

879
00:42:23,680 --> 00:42:26,680
Speaker 3: was a clip that just said Theovonn talking to women

880
00:42:26,880 --> 00:42:29,200
Speaker 3: and my face was on like the cover of it,

881
00:42:30,160 --> 00:42:33,080
Speaker 3: and it had like six hundred thousand views.

882
00:42:33,120 --> 00:42:35,560
Speaker 2: It was posted an hour ago. It was like, what

883
00:42:35,840 --> 00:42:36,560
Speaker 2: the fuck?

884
00:42:36,960 --> 00:42:40,879
Speaker 3: Like, yeah, it is just so out of control how

885
00:42:41,480 --> 00:42:45,200
Speaker 3: much I I don't understand what's going on over there.

886
00:42:45,880 --> 00:42:49,640
Speaker 4: Yeah, I mean that the numbers on YouTube are shocking.

887
00:42:49,800 --> 00:42:50,920
Speaker 4: It doesn't make any sense.

888
00:42:51,120 --> 00:42:52,600
Speaker 2: And then it hurts my feelings.

889
00:42:52,960 --> 00:42:54,959
Speaker 4: Yeah, it doesn't make sense that if that low, because

890
00:42:55,000 --> 00:42:57,439
Speaker 4: we know for a fact that there's more than three

891
00:42:57,520 --> 00:43:01,160
Speaker 4: thousand people. There's substantially more more than three thousand people

892
00:43:01,360 --> 00:43:05,120
Speaker 4: that listen to this podcast. And yes, on YouTube, the

893
00:43:05,239 --> 00:43:09,520
Speaker 4: numbers are so incredibly backwards it doesn't make any sense.

894
00:43:09,640 --> 00:43:11,399
Speaker 4: Like there are there are shows.

895
00:43:11,480 --> 00:43:12,520
Speaker 3: I don't want to give it a view, but I

896
00:43:12,560 --> 00:43:14,480
Speaker 3: don't want to see a comment, so I can't give

897
00:43:14,520 --> 00:43:16,120
Speaker 3: it a view because.

898
00:43:16,120 --> 00:43:18,359
Speaker 4: The YouTube comments are the only ones I actually read.

899
00:43:18,880 --> 00:43:21,760
Speaker 4: The YouTube relents are actually pretty cordial and friendly.

900
00:43:22,280 --> 00:43:24,240
Speaker 3: But oh that's good, let's keep it that way please.

901
00:43:24,520 --> 00:43:26,400
Speaker 3: Maybe that's why we don't want our numbers going up.

902
00:43:26,760 --> 00:43:27,919
Speaker 3: That's what it's circut means.

903
00:43:27,960 --> 00:43:31,040
Speaker 4: But it is shocking that well, so for THEO Vaughn like,

904
00:43:31,160 --> 00:43:34,400
Speaker 4: it's it's the subscriber base like he already has. You know,

905
00:43:34,880 --> 00:43:38,440
Speaker 4: however many millions of YouTube subscribers, and we don't We

906
00:43:38,560 --> 00:43:42,080
Speaker 4: just don't have that subscriber base yet. And uh, I

907
00:43:42,120 --> 00:43:44,880
Speaker 4: don't know why I don't know why Nikki Glazer besties

908
00:43:45,600 --> 00:43:48,560
Speaker 4: don't use YouTube as much as they will listen to

909
00:43:48,640 --> 00:43:50,840
Speaker 4: a podcast, But it's just a fact.

910
00:43:51,880 --> 00:43:53,880
Speaker 2: Yeah, throw a sub on YouTube.

911
00:43:54,000 --> 00:43:55,560
Speaker 3: It would It would mean a lot, even if you

912
00:43:55,600 --> 00:43:57,759
Speaker 3: don't use your YouTube account a lot, Like just go

913
00:43:57,960 --> 00:44:00,360
Speaker 3: give us a sub like not that, yeah, because it

914
00:44:00,640 --> 00:44:03,719
Speaker 3: awesome and then like thumbs up our videos when they

915
00:44:03,760 --> 00:44:05,320
Speaker 3: when you do go on there and see it, like

916
00:44:05,640 --> 00:44:06,560
Speaker 3: just throw us the thumbs up.

917
00:44:07,239 --> 00:44:09,400
Speaker 4: You not at all to subscribe to someone on YouTube,

918
00:44:09,440 --> 00:44:11,640
Speaker 4: especially if you don't use it, because it's not like Instagram.

919
00:44:11,800 --> 00:44:12,640
Speaker 2: It could hurt them.

920
00:44:13,480 --> 00:44:17,239
Speaker 3: What if their phone's cracked and their thumb hits the

921
00:44:17,360 --> 00:44:20,239
Speaker 3: crack and it slices it as they're subscribing.

922
00:44:20,719 --> 00:44:22,600
Speaker 1: Yeah, okay, so you don't have to do if your

923
00:44:22,640 --> 00:44:25,319
Speaker 1: phone's cracked, you don't have to do this, okay, yeah yeah,

924
00:44:25,360 --> 00:44:28,080
Speaker 1: if you have a good phone, Yeah yeah, it hurts

925
00:44:28,120 --> 00:44:29,719
Speaker 1: you not at all because when you subscribe to something

926
00:44:29,760 --> 00:44:32,400
Speaker 1: on YouTube, it's not like Instagram, where it shows how

927
00:44:32,440 --> 00:44:34,360
Speaker 1: many people you're following and it's like, oh, it's so

928
00:44:34,480 --> 00:44:37,520
Speaker 1: embarrassing I have I don't have as many followers as

929
00:44:37,560 --> 00:44:40,760
Speaker 1: I am following. Right, you could subscribe to a million

930
00:44:40,920 --> 00:44:42,680
Speaker 1: YouTube channels and no one will know.

931
00:44:43,680 --> 00:44:45,759
Speaker 3: Oh that's a good point, and not that anyone would

932
00:44:45,800 --> 00:44:47,440
Speaker 3: run to hide that they're subscribing to us.

933
00:44:47,560 --> 00:44:48,759
Speaker 2: What a shameful thing.

934
00:44:49,080 --> 00:44:50,960
Speaker 3: Yeah, that'd be amazing if you go do that right now,

935
00:44:51,040 --> 00:44:53,520
Speaker 3: and then we'll see you back here after the break.

936
00:44:55,880 --> 00:44:56,799
Speaker 2: Okay, we're back.

937
00:44:58,200 --> 00:45:03,560
Speaker 3: Going to tomorrow, Yeah, going to Canada tomorrow. I always

938
00:45:03,560 --> 00:45:05,400
Speaker 3: get nervous to go to Canada because you have to

939
00:45:05,480 --> 00:45:08,319
Speaker 3: go through custom customs and.

940
00:45:08,360 --> 00:45:11,040
Speaker 2: They get mad at me. But I feel okay about

941
00:45:11,040 --> 00:45:11,440
Speaker 2: it this time.

942
00:45:11,480 --> 00:45:13,520
Speaker 3: I don't know, and I gotta remember my passport, even

943
00:45:13,520 --> 00:45:14,520
Speaker 3: though I've never forgotten it.

944
00:45:14,600 --> 00:45:17,080
Speaker 2: But it's just like it's that's weighing on me and

945
00:45:17,480 --> 00:45:18,200
Speaker 2: just I don't know.

946
00:45:18,320 --> 00:45:20,960
Speaker 3: I just I got a lot of anxieties about going

947
00:45:21,080 --> 00:45:24,000
Speaker 3: up there and what they're gonna, how they're gonna just

948
00:45:24,080 --> 00:45:24,440
Speaker 3: going through.

949
00:45:24,480 --> 00:45:25,680
Speaker 2: I just don't like customs.

950
00:45:25,760 --> 00:45:27,440
Speaker 3: I really think that I would if it were up

951
00:45:27,440 --> 00:45:30,160
Speaker 3: to me, I'd never leave America again because I'm so

952
00:45:30,320 --> 00:45:32,440
Speaker 3: scared of customs and it gives me so much. It's

953
00:45:32,520 --> 00:45:35,360
Speaker 3: like Taylor with the sucker thing at the at the dentist.

954
00:45:35,760 --> 00:45:39,640
Speaker 3: It doesn't make sense, but customs take too much time.

955
00:45:39,840 --> 00:45:43,000
Speaker 3: The line is always too long, it's too windy. Then

956
00:45:43,040 --> 00:45:44,680
Speaker 3: you have to go in, you have to get your bags.

957
00:45:44,760 --> 00:45:46,080
Speaker 3: Then you have to show like a little piece of

958
00:45:46,200 --> 00:45:48,080
Speaker 3: paper to the guy as you leave with your bags.

959
00:45:48,120 --> 00:45:49,640
Speaker 3: And that guy you always feel like is going to

960
00:45:49,719 --> 00:45:53,600
Speaker 3: detain you. Too many chances for detainment, yes, and they're

961
00:45:53,600 --> 00:45:56,120
Speaker 3: always mean and I don't like it, but I am

962
00:45:56,200 --> 00:45:57,200
Speaker 3: excited to go to Toronto.

963
00:45:57,800 --> 00:45:58,000
Speaker 2: Yeah.

964
00:46:00,640 --> 00:46:03,359
Speaker 4: Well, when I was back from Australia, they but when

965
00:46:03,400 --> 00:46:05,840
Speaker 4: I was leaving Australia, they interviewed me and they're like,

966
00:46:05,920 --> 00:46:08,040
Speaker 4: do you have any fruit? I can't do an Australian accent,

967
00:46:08,400 --> 00:46:09,960
Speaker 4: but they ask you all these questions like do you

968
00:46:10,000 --> 00:46:12,640
Speaker 4: have any fruit? Did you bring a boomerang? I thought

969
00:46:12,680 --> 00:46:14,800
Speaker 4: all I have is a boomerang. I bought a boomerang

970
00:46:14,880 --> 00:46:16,880
Speaker 4: from an Indigenous man. And they're like, well, that's going

971
00:46:16,960 --> 00:46:19,360
Speaker 4: to be fine. But I didn't.

972
00:46:19,400 --> 00:46:21,000
Speaker 2: I thought you were gonna be that's gonna be fined.

973
00:46:21,440 --> 00:46:23,799
Speaker 4: Yeah, but I did get detained at the border when

974
00:46:23,800 --> 00:46:27,320
Speaker 4: I went to Montreal. I was because I have a

975
00:46:27,400 --> 00:46:30,920
Speaker 4: criminal record for when I was in college and I

976
00:46:31,440 --> 00:46:34,880
Speaker 4: got caught underage drinking and so yeah.

977
00:46:34,760 --> 00:46:36,800
Speaker 2: They I was did they like bust up a party

978
00:46:36,880 --> 00:46:38,280
Speaker 2: and like write you all tickets.

979
00:46:38,800 --> 00:46:42,840
Speaker 4: Yeah, well it's it's embarrassing because I had my brothers

980
00:46:43,600 --> 00:46:47,719
Speaker 4: expired learners permit that uh and I gave it to

981
00:46:47,880 --> 00:46:50,759
Speaker 4: a cop and he said, well, now you're going to

982
00:46:50,880 --> 00:46:54,239
Speaker 4: jail because he tried this bullshit and so he took me.

983
00:46:54,640 --> 00:46:57,319
Speaker 4: I actually have a bit about it that I tell,

984
00:46:57,400 --> 00:46:59,680
Speaker 4: but he took me to jail. I was dressed like

985
00:46:59,719 --> 00:47:01,200
Speaker 4: the f from Happy Days because I was at a

986
00:47:01,200 --> 00:47:06,400
Speaker 4: Halloween party. Goddamn. Yeah. But years later, I'm going to

987
00:47:06,520 --> 00:47:09,920
Speaker 4: Canada and they detained me at the border almost said

988
00:47:09,960 --> 00:47:11,319
Speaker 4: border like a can you wait?

989
00:47:11,480 --> 00:47:14,240
Speaker 2: You took a picture like a mug shot as the fawns.

990
00:47:15,880 --> 00:47:17,759
Speaker 4: No, no mugshot. I went into the drunk tanks so

991
00:47:17,760 --> 00:47:19,359
Speaker 4: they didn't take a month. Oh I got it, okay,

992
00:47:19,520 --> 00:47:23,480
Speaker 4: damn drug tank overnight night.

993
00:47:23,880 --> 00:47:24,160
Speaker 3: Fuck.

994
00:47:26,320 --> 00:47:28,839
Speaker 4: But I was detained at the border and the Canadians

995
00:47:28,920 --> 00:47:30,640
Speaker 4: were like they kept me there for like an hour

996
00:47:30,840 --> 00:47:35,080
Speaker 4: and the border crossing and they looked up my criminal

997
00:47:35,120 --> 00:47:36,960
Speaker 4: record and they said what were you arrested for? And

998
00:47:37,040 --> 00:47:39,200
Speaker 4: I was like underage drinking and then and then they

999
00:47:39,239 --> 00:47:40,800
Speaker 4: were like how old were you? And I was like

1000
00:47:41,080 --> 00:47:44,319
Speaker 4: I was twenty when they arrested me and they drink

1001
00:47:44,400 --> 00:47:46,640
Speaker 4: at eighteen and they're like, oh it's eighteen here, so

1002
00:47:47,520 --> 00:47:49,160
Speaker 4: get Yeah. Then they let me in.

1003
00:47:49,520 --> 00:47:50,680
Speaker 2: I have a little bot blue.

1004
00:47:51,040 --> 00:47:53,759
Speaker 4: Yeah, but I was at them. I was sitting there

1005
00:47:53,760 --> 00:47:55,880
Speaker 4: for an hour. Yeah, they were like investigating me.

1006
00:47:56,360 --> 00:47:59,160
Speaker 3: I was like, really, yeah, I got I got things

1007
00:47:59,200 --> 00:48:01,680
Speaker 3: like sponged from my record and every time I go through,

1008
00:48:01,760 --> 00:48:03,120
Speaker 3: I go was it a sponge?

1009
00:48:03,160 --> 00:48:05,399
Speaker 4: Well, so mine was supposed to be expunged. I went

1010
00:48:05,440 --> 00:48:06,320
Speaker 4: to my class.

1011
00:48:06,520 --> 00:48:08,399
Speaker 2: They don't exponge everything.

1012
00:48:08,200 --> 00:48:10,840
Speaker 4: Really exponge if if you're a different government than you

1013
00:48:10,880 --> 00:48:14,200
Speaker 4: can find out if like all the exponged it. But

1014
00:48:14,280 --> 00:48:16,279
Speaker 4: it's not like other foreign governments aren't going to be

1015
00:48:16,320 --> 00:48:18,560
Speaker 4: able to do their research. They do have anything to

1016
00:48:18,600 --> 00:48:22,719
Speaker 4: do with us, right, wanted to find out if I

1017
00:48:22,760 --> 00:48:24,120
Speaker 4: got a ticket, they're going to find out.

1018
00:48:24,320 --> 00:48:26,759
Speaker 2: I don't think you could go to Canada if you

1019
00:48:26,840 --> 00:48:29,600
Speaker 2: have a duy, like if you've had a DUI in America,

1020
00:48:30,160 --> 00:48:32,319
Speaker 2: that's the reason you would have access to that. I'm

1021
00:48:32,360 --> 00:48:32,760
Speaker 2: just kidding.

1022
00:48:32,960 --> 00:48:37,879
Speaker 3: I love Canada. I don't know the database. Man, it's

1023
00:48:37,880 --> 00:48:40,359
Speaker 3: all in the cloud because it's on your Instagram. Maybe

1024
00:48:40,680 --> 00:48:42,800
Speaker 3: don't post on Instagram.

1025
00:48:43,200 --> 00:48:45,719
Speaker 2: Oh yeah, but no, I think that that's all they

1026
00:48:45,880 --> 00:48:46,680
Speaker 2: have access.

1027
00:48:46,480 --> 00:48:47,000
Speaker 4: To that stuff.

1028
00:48:47,080 --> 00:48:49,239
Speaker 3: So it's like a global database.

1029
00:48:49,200 --> 00:48:51,680
Speaker 4: I guess, sharing information and they have their ways.

1030
00:48:52,880 --> 00:48:55,560
Speaker 3: Yeah, it's but I'm excited to go there because the

1031
00:48:55,640 --> 00:48:58,680
Speaker 3: girl that is opening for me, Norhadidi, she is like,

1032
00:48:59,400 --> 00:49:01,600
Speaker 3: she's a swift and so we're gonna swift the fuck

1033
00:49:01,680 --> 00:49:05,160
Speaker 3: out go pretty crazy because we get we get into.

1034
00:49:05,040 --> 00:49:06,640
Speaker 2: Some pretty intense stuff.

1035
00:49:07,200 --> 00:49:11,520
Speaker 3: And I'm very excited because Taylor finally put on Spotify

1036
00:49:11,640 --> 00:49:14,760
Speaker 3: this new song that was only on this like special

1037
00:49:14,880 --> 00:49:19,600
Speaker 3: target edition of her album. It's called You're Losing Me,

1038
00:49:19,680 --> 00:49:23,440
Speaker 3: and she wrote it about her boyfriend, who, like they

1039
00:49:23,520 --> 00:49:26,840
Speaker 3: clearly it's a Midnights, it's an extra Midnight song, and

1040
00:49:27,120 --> 00:49:29,160
Speaker 3: Midnights is a breakup album, even though there's lots of

1041
00:49:29,200 --> 00:49:31,520
Speaker 3: songs about Joe being like, oh I love him so much,

1042
00:49:31,600 --> 00:49:33,360
Speaker 3: but like we all know now as a breakup album

1043
00:49:33,360 --> 00:49:35,560
Speaker 3: because now they're broken up, and like obviously when she

1044
00:49:35,640 --> 00:49:37,400
Speaker 3: was writing that album, it was the beginning of the end,

1045
00:49:37,400 --> 00:49:39,560
Speaker 3: because no one breaks up immediately when they're ready to

1046
00:49:39,600 --> 00:49:42,640
Speaker 3: break up. It's like takes a while, especially when you're

1047
00:49:42,640 --> 00:49:45,840
Speaker 3: a seven year relationship. So the song You're Losing Me

1048
00:49:46,000 --> 00:49:49,680
Speaker 3: is so good and it's all about like he's not.

1049
00:49:50,960 --> 00:49:53,759
Speaker 3: She's like, how do you how do you not even

1050
00:49:53,840 --> 00:49:55,960
Speaker 3: under How did you not see the signs coming? How

1051
00:49:56,080 --> 00:49:59,960
Speaker 3: is this surprising to you? You like kind of you were.

1052
00:50:01,520 --> 00:50:03,239
Speaker 2: Like, wait, let me look at the lyrics because they're

1053
00:50:03,320 --> 00:50:03,680
Speaker 2: so good.

1054
00:50:04,360 --> 00:50:06,400
Speaker 3: But I'm so glad it's finally released because I was

1055
00:50:06,520 --> 00:50:09,560
Speaker 3: only able to listen to it on like Weird Tiktoks.

1056
00:50:09,080 --> 00:50:13,320
Speaker 4: Before yea a target specific album, like like when Starbucks

1057
00:50:13,360 --> 00:50:16,400
Speaker 4: has an album kind no.

1058
00:50:16,880 --> 00:50:19,520
Speaker 3: Well there's like special releases. She only does through target

1059
00:50:19,600 --> 00:50:22,400
Speaker 3: that have like certain vault tracks. So the lyrics are

1060
00:50:22,480 --> 00:50:24,160
Speaker 3: you say I don't understand, and I say I know

1061
00:50:24,280 --> 00:50:26,680
Speaker 3: you don't, which is like, that's like such a cra

1062
00:50:26,880 --> 00:50:29,680
Speaker 3: I love that line because it's like how many breakups

1063
00:50:29,960 --> 00:50:32,320
Speaker 3: when someone's like I don't understand and the person's just

1064
00:50:32,400 --> 00:50:33,920
Speaker 3: like can you imagine the person saying back to you,

1065
00:50:34,680 --> 00:50:38,439
Speaker 3: I know you don't. Like there's no like sorry, there's

1066
00:50:38,520 --> 00:50:41,440
Speaker 3: no me being like, well it's because of this. It's

1067
00:50:41,520 --> 00:50:44,640
Speaker 3: just like saying like I know you don't. Like we're done,

1068
00:50:45,360 --> 00:50:47,920
Speaker 3: he said, she said. We thought a cure would come

1069
00:50:47,960 --> 00:50:50,680
Speaker 3: through in time. Now I fear it won't. Remember looking

1070
00:50:50,719 --> 00:50:52,440
Speaker 3: at this room, we loved it because of the light.

1071
00:50:52,640 --> 00:50:54,319
Speaker 3: Now I just sit in the dark and wonder if

1072
00:50:54,360 --> 00:50:57,040
Speaker 3: it's time do I throw out everything we built or

1073
00:50:57,120 --> 00:50:59,640
Speaker 3: keep it. I'm getting tired, even for a phoenix, always

1074
00:50:59,719 --> 00:51:02,640
Speaker 3: rising from the ashes, mending all her gashes. You might

1075
00:51:02,760 --> 00:51:06,080
Speaker 3: just have dealt the final blow. And then she says, stop,

1076
00:51:06,280 --> 00:51:07,960
Speaker 3: you're losing me. Because she's kind of like you could

1077
00:51:08,000 --> 00:51:11,239
Speaker 3: tell she's in an argument. She's like, stop, you're losing me. Like,

1078
00:51:11,480 --> 00:51:13,200
Speaker 3: and I also like, you're losing me because it's something

1079
00:51:13,200 --> 00:51:14,680
Speaker 3: you say to someone over the phone where you're like,

1080
00:51:14,680 --> 00:51:17,279
Speaker 3: you're losing me. I can't hear you, but it's like

1081
00:51:17,360 --> 00:51:20,440
Speaker 3: she's like, and then she says, I can't find a pulse.

1082
00:51:20,560 --> 00:51:23,400
Speaker 3: My heart won't start anymore for you because you're losing me.

1083
00:51:24,280 --> 00:51:26,680
Speaker 3: Every morning I glared at you with storms in my eyes,

1084
00:51:27,320 --> 00:51:28,759
Speaker 3: and this is the line I like, how can you

1085
00:51:28,880 --> 00:51:31,160
Speaker 3: say that you love someone you can't tell is dying.

1086
00:51:31,920 --> 00:51:35,040
Speaker 3: She's like, I've been this relationship I've been dying in

1087
00:51:35,160 --> 00:51:37,120
Speaker 3: and you don't even notice. How can you say you

1088
00:51:37,239 --> 00:51:39,480
Speaker 3: love someone that you can't tell is dying. I sent

1089
00:51:39,560 --> 00:51:41,959
Speaker 3: you signals and bit my nails down to the quick.

1090
00:51:42,080 --> 00:51:43,920
Speaker 3: I don't know what the quick means. But I'm guessing,

1091
00:51:44,040 --> 00:51:46,080
Speaker 3: like the blood, like I bit my nails, like I

1092
00:51:46,160 --> 00:51:49,400
Speaker 3: sent you signals. I'm like constantly being nervous. I seem

1093
00:51:49,719 --> 00:51:52,440
Speaker 3: very upset. My face was gray, but you wouldn't admit

1094
00:51:52,520 --> 00:51:54,880
Speaker 3: that we were sick. And the air is thick with

1095
00:51:55,040 --> 00:51:58,560
Speaker 3: loss and indecision. I know, my pain is such an imposition.

1096
00:51:59,040 --> 00:52:01,280
Speaker 3: Now you're running down. Now you're running down the hallway,

1097
00:52:01,640 --> 00:52:03,480
Speaker 3: and you know what they all say. You don't know

1098
00:52:03,520 --> 00:52:07,440
Speaker 3: what you got until it's gone. And then yeah, I

1099
00:52:07,560 --> 00:52:11,440
Speaker 3: was like so Shakespearean speaking of yeah, the bridge is

1100
00:52:11,520 --> 00:52:13,600
Speaker 3: how long could we be? How long could we be

1101
00:52:13,680 --> 00:52:16,160
Speaker 3: a sad song till we're too far gone to bring

1102
00:52:16,280 --> 00:52:19,000
Speaker 3: back to life. I gave you all my best mees,

1103
00:52:19,200 --> 00:52:21,960
Speaker 3: my endless empathy, and all I did was bleed. Is

1104
00:52:22,000 --> 00:52:24,919
Speaker 3: I tried to be the bravest soldier fighting in only

1105
00:52:25,000 --> 00:52:26,200
Speaker 3: your army front lines.

1106
00:52:26,280 --> 00:52:29,040
Speaker 2: Don't you ignore me? I'm the best thing at this party.

1107
00:52:29,800 --> 00:52:31,680
Speaker 3: So he's obviously at there at a party, and she's like,

1108
00:52:32,280 --> 00:52:34,719
Speaker 3: I'm right here, you're talking to everyone else.

1109
00:52:35,160 --> 00:52:36,760
Speaker 2: I'm the best thing at this party.

1110
00:52:37,239 --> 00:52:39,680
Speaker 3: You're losing me, And then this is the best And

1111
00:52:39,840 --> 00:52:44,040
Speaker 3: I wouldn't marry me either a pathological people pleaser who

1112
00:52:44,120 --> 00:52:47,720
Speaker 3: only wanted you to see her. And I'm fade and thinking,

1113
00:52:47,920 --> 00:52:50,280
Speaker 3: do something, babe, say something.

1114
00:52:50,560 --> 00:52:52,160
Speaker 2: And this is the part where she's like he had

1115
00:52:52,200 --> 00:52:52,600
Speaker 2: a chance.

1116
00:52:52,640 --> 00:52:56,560
Speaker 3: She's like, do something, babe, say something, lose something, babe,

1117
00:52:56,680 --> 00:53:01,080
Speaker 3: risks something like lose like to take a fucking risk,

1118
00:53:01,440 --> 00:53:04,960
Speaker 3: don't look cool, try to try to fight for me.

1119
00:53:05,480 --> 00:53:09,359
Speaker 3: Choose something, babe. I've got nothing to believe unless you're

1120
00:53:09,440 --> 00:53:12,840
Speaker 3: choosing me. So he never chose her, and so she's like,

1121
00:53:13,120 --> 00:53:16,320
Speaker 3: peace out, what up Trav? And now she's just Travis

1122
00:53:16,400 --> 00:53:20,120
Speaker 3: Kelce and the song rules, So yeah, check out You're

1123
00:53:20,160 --> 00:53:23,360
Speaker 3: losing me. It's a new song on on for Taylor

1124
00:53:23,400 --> 00:53:27,000
Speaker 3: Swift's it's on her Spotify. It's on Spotify now, too

1125
00:53:27,080 --> 00:53:29,120
Speaker 3: late to get it on wrapped though. And then the

1126
00:53:29,200 --> 00:53:32,200
Speaker 3: other song I'm obsessed with real quick is that I

1127
00:53:32,320 --> 00:53:33,919
Speaker 3: was gonna say, is the only one I've been hearing

1128
00:53:33,960 --> 00:53:35,080
Speaker 3: on TikTok is.

1129
00:53:38,480 --> 00:53:42,600
Speaker 2: You probably heard it. I would want myself baby, Please

1130
00:53:42,719 --> 00:53:45,640
Speaker 2: believe me. I'll pull you through hell. Do you know

1131
00:53:45,760 --> 00:53:49,640
Speaker 2: what I'm talking about? No, it's in so many tiktoks

1132
00:53:49,800 --> 00:53:50,080
Speaker 2: you would.

1133
00:53:50,239 --> 00:53:52,520
Speaker 3: You wouldn't know if I was playing it but it's

1134
00:53:52,560 --> 00:53:54,880
Speaker 3: called Greedy by Tate McCrae and she was on SNL

1135
00:53:54,960 --> 00:53:56,880
Speaker 3: last week. And it's so weird because I listened to

1136
00:53:56,920 --> 00:53:59,880
Speaker 3: the song every single like, I listened to it. Problem,

1137
00:54:00,480 --> 00:54:02,600
Speaker 3: it's gonna be my Spotify rap next year. I listened

1138
00:54:02,600 --> 00:54:04,839
Speaker 3: to it like a hundred times one day and it's

1139
00:54:05,040 --> 00:54:07,080
Speaker 3: to only two minutes long, so it's really short.

1140
00:54:08,120 --> 00:54:09,800
Speaker 2: And then all of a sudden that night when I

1141
00:54:09,880 --> 00:54:12,120
Speaker 2: was in Portland, she was on SNL that night. I

1142
00:54:12,239 --> 00:54:13,880
Speaker 2: was like, this is so weird. It's all lining up.

1143
00:54:14,360 --> 00:54:16,839
Speaker 2: She's an amazing dancer, she's so hot.

1144
00:54:18,640 --> 00:54:20,640
Speaker 4: One of the main thing, one of the main purposes

1145
00:54:20,760 --> 00:54:25,360
Speaker 4: of TikTok is to get musicians exposure if a TikTok

1146
00:54:25,960 --> 00:54:28,720
Speaker 4: sound goes viral and it's in all sorts of people's tiktoks,

1147
00:54:28,760 --> 00:54:29,759
Speaker 4: and I know, but I was.

1148
00:54:29,800 --> 00:54:33,080
Speaker 3: Hearing it on TikTok for months before I go, I gotta,

1149
00:54:33,280 --> 00:54:35,640
Speaker 3: I gotta put this in, and like, see what the

1150
00:54:35,719 --> 00:54:36,560
Speaker 3: fuck this song is?

1151
00:54:36,840 --> 00:54:37,440
Speaker 4: Yeah, it was.

1152
00:54:37,880 --> 00:54:38,719
Speaker 3: It was programmed.

1153
00:54:38,719 --> 00:54:40,400
Speaker 2: It was weird that it all lined.

1154
00:54:40,200 --> 00:54:43,800
Speaker 4: Up perfect, And then I guess that feel cool. I

1155
00:54:43,840 --> 00:54:45,799
Speaker 4: feel part of the zeit guys, you're part of the guys.

1156
00:54:45,840 --> 00:54:47,719
Speaker 4: But it's it's it's all tapped in.

1157
00:54:48,440 --> 00:54:49,640
Speaker 2: I don't know who bad Bunny is.

1158
00:54:49,719 --> 00:54:53,279
Speaker 4: They they probably made that song specifically had a hook

1159
00:54:53,320 --> 00:54:54,720
Speaker 4: in it that would be good for TikTok.

1160
00:54:55,000 --> 00:54:58,920
Speaker 3: You gotta watch Tate McCrae's video for Greedy. It's so

1161
00:54:59,320 --> 00:55:02,479
Speaker 3: fucking hot she It has been so long. I played

1162
00:55:02,560 --> 00:55:04,359
Speaker 3: Chris video and we were like, we both agreed, it's

1163
00:55:04,400 --> 00:55:06,680
Speaker 3: been so long since we had like a hot pop star,

1164
00:55:06,880 --> 00:55:12,600
Speaker 3: like a Britney spears a like I'm gonna see Jlo

1165
00:55:12,920 --> 00:55:21,279
Speaker 3: like Tate McCrae, mc mcc no, mcr ae McCrae. Yeah,

1166
00:55:21,560 --> 00:55:24,040
Speaker 3: and it's called Greedy. She's Canadian. It's all at a

1167
00:55:24,239 --> 00:55:26,440
Speaker 3: it's at a hockey rink. And the way she moves

1168
00:55:26,480 --> 00:55:28,480
Speaker 3: her body, she's an amazing dancer. She's I think she

1169
00:55:28,560 --> 00:55:30,440
Speaker 3: started out as a dancer. She's been dancing her whole life.

1170
00:55:30,440 --> 00:55:33,320
Speaker 3: She's only I think twenty years old, maybe nineteen, but

1171
00:55:33,440 --> 00:55:35,720
Speaker 3: she is so confident, she is so cool.

1172
00:55:36,400 --> 00:55:38,680
Speaker 2: I love her dance moves. She is so sexy.

1173
00:55:39,239 --> 00:55:41,080
Speaker 3: It would have been inappropriate for me to say that

1174
00:55:41,160 --> 00:55:44,080
Speaker 3: she's so sexy three years ago, which is weird, but

1175
00:55:44,880 --> 00:55:48,000
Speaker 3: now you can say it. And just the way her

1176
00:55:48,120 --> 00:55:50,279
Speaker 3: like body bends and like the way she dances in

1177
00:55:50,360 --> 00:55:52,480
Speaker 3: her face, like she just is cool.

1178
00:55:52,640 --> 00:55:53,160
Speaker 2: Like she's not.

1179
00:55:53,360 --> 00:55:55,200
Speaker 3: It doesn't look like she's trying to art, even though

1180
00:55:55,200 --> 00:55:57,360
Speaker 3: there's so many scenes where her body is contorted in

1181
00:55:57,400 --> 00:55:59,439
Speaker 3: all these ways that you're like, whoa, Chris even goes

1182
00:55:59,480 --> 00:56:02,719
Speaker 3: she's shaking in that contortion right there. She's obviously trying hard.

1183
00:56:02,760 --> 00:56:04,080
Speaker 3: I'm like, no, she's so cool.

1184
00:56:04,320 --> 00:56:05,360
Speaker 2: She's assass.

1185
00:56:05,760 --> 00:56:08,800
Speaker 3: I mean, it looks like she's a former ballet dancer.

1186
00:56:09,280 --> 00:56:12,680
Speaker 3: She's legit dog, she's like and this song Greedy is

1187
00:56:12,760 --> 00:56:14,080
Speaker 3: so good, and I guess she has some other ones

1188
00:56:14,120 --> 00:56:16,279
Speaker 3: that are even bigger, but it's my new favorite song.

1189
00:56:16,320 --> 00:56:17,279
Speaker 2: Okay, we gotta go.

1190
00:56:17,480 --> 00:56:18,960
Speaker 3: Thank you for listening to the show. I'll see you

1191
00:56:19,000 --> 00:56:23,840
Speaker 3: this week in Toronto, in Pittsburgh, Detroit. I'll see you

1192
00:56:23,920 --> 00:56:26,440
Speaker 3: next week in Brea, California. I'll be there with Brian

1193
00:56:26,560 --> 00:56:29,320
Speaker 3: at the Brea Improv and then in Spokane, Washington on

1194
00:56:29,360 --> 00:56:32,040
Speaker 3: the fourteenth, and then for my special taping December sixteenth

1195
00:56:33,080 --> 00:56:33,760
Speaker 3: in Seattle.

1196
00:56:33,840 --> 00:56:35,720
Speaker 2: And then if you're in the Denver area, I'm.

1197
00:56:35,560 --> 00:56:38,040
Speaker 3: Going to be New Year's Eve Eve and New Year's

1198
00:56:38,080 --> 00:56:40,719
Speaker 3: Eve at the Paramount in Denver, get your tickets now.

1199
00:56:40,800 --> 00:56:46,120
Speaker 3: Nicki glazer dot com also just release tickets for tomorrow

1200
00:56:46,200 --> 00:56:48,160
Speaker 3: they go on sale. They're on pre sale now use

1201
00:56:48,280 --> 00:56:51,640
Speaker 3: code good but for Saint Louis, Kansas City, and Atlanta

1202
00:56:51,840 --> 00:56:52,960
Speaker 3: for twenty twenty four dates.

1203
00:56:53,000 --> 00:56:54,640
Speaker 2: You can check those at Nicky glays dot com. Use

1204
00:56:54,680 --> 00:56:55,640
Speaker 2: code good right now.

1205
00:56:56,280 --> 00:56:58,759
Speaker 3: Tomorrow they go on sale for Friday one, but pre

1206
00:56:58,880 --> 00:57:03,360
Speaker 3: sale yeah tomorrow Friday, but today they are on a

1207
00:57:03,480 --> 00:57:08,480
Speaker 3: pre sale use code good for for Atlanta, Saint Louis,

1208
00:57:08,520 --> 00:57:10,200
Speaker 3: and Kents City, which I'm so excited about.

1209
00:57:10,200 --> 00:57:12,880
Speaker 4: All Right, the sun has stopped shining in through the window,

1210
00:57:13,000 --> 00:57:13,720
Speaker 4: so maybe.

1211
00:57:13,560 --> 00:57:17,720
Speaker 2: We could Yeah, look at our look at our YouTube

1212
00:57:17,800 --> 00:57:18,200
Speaker 2: video of this.

1213
00:57:18,640 --> 00:57:22,400
Speaker 3: See it looks like an angel perfect. It was like

1214
00:57:22,600 --> 00:57:25,160
Speaker 3: hellish before you were like you're going to be burned.

1215
00:57:25,440 --> 00:57:27,800
Speaker 3: Later on you're gonna look like you have ezema with

1216
00:57:27,840 --> 00:57:30,120
Speaker 3: all the different spots. It was traveling all over face.

1217
00:57:30,160 --> 00:57:31,560
Speaker 3: Not that that's a bad thing to look like. Try

1218
00:57:31,600 --> 00:57:36,120
Speaker 3: resulty for ask your doctor about exalty or whatever thing is?

1219
00:57:36,800 --> 00:57:38,560
Speaker 3: Is it just me or there's tons of exzema commercials.

1220
00:57:38,800 --> 00:57:41,400
Speaker 4: There's a lot eradicate it with medicaid.

1221
00:57:42,120 --> 00:57:45,240
Speaker 3: I've never once seen exeba and God ew. That person

1222
00:57:45,320 --> 00:57:49,440
Speaker 3: is disgusting. If you have exzema, it's okay, but you know,

1223
00:57:49,560 --> 00:57:51,320
Speaker 3: try the meds. But like, if you do have it,

1224
00:57:51,400 --> 00:57:53,640
Speaker 3: I also don't care. And I love you all right,

1225
00:57:53,760 --> 00:57:54,440
Speaker 3: I love everyone.

1226
00:57:55,000 --> 00:57:58,280
Speaker 2: Thank you so much. Don't be and get to get

1227
00:57:58,320 --> 00:57:59,000
Speaker 2: sim and down