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Speaker 1: The Nikki Gliser Podcast.

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Speaker 2: Here's Nicky.

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Speaker 1: Oh here, I am welcome to the show. It's Nicky

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Speaker 1: Glazer Podcast. I am still in Los Angeles. We are

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Speaker 1: in studio. These have been such fun shows last week

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Speaker 1: and this week. Yeah, we've got two more great shows

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Speaker 1: for you this week that we're about to do. I

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Speaker 1: just feel it coming. I'm manifesting They're going to be

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Speaker 1: so great.

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Speaker 3: I feel it.

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Speaker 1: Don't even you don't get involved in my manifestation, mom,

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Speaker 1: because you blew it for the Emmys. But my mom

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Speaker 1: is here. Everyone. Sean O'Connor is here, Brian Frangie is here.

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Speaker 1: Welcome back to the show.

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Speaker 3: Sean.

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Speaker 2: Hey, I'm so glad to be here, so glad.

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Speaker 1: To have you Mom. Welcome back to the show.

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Speaker 3: Thank you Nikki for letting me be here in La.

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Speaker 1: Yeah, for all of this, I loved it. So I

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Speaker 1: just I you know, I invited you to the Gracy

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Speaker 1: Abram show that I talked about last week, and my

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Speaker 1: mom was like, my neck, I Nick, I can't my neck.

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Speaker 1: And then like an hour later, I was like, do

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Speaker 1: you want to go these parties on Sunday? She was like, yeah,

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Speaker 1: I'll be there.

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Speaker 3: I don't think that was the next day.

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Speaker 1: That was the next day, but I guess neck was better. Yeah,

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Speaker 1: neck was better.

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Speaker 3: That's miracle cure.

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Speaker 4: That's called secondary gain.

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Speaker 1: What's that mean?

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Speaker 4: Secondary gain is when no, it's when you when a

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Speaker 4: symptom allows you to get something that you want emotionally.

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Speaker 1: Also oh wait, wait, wait say it again.

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Speaker 4: When a symptom allows you to get something you also

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Speaker 4: want emotionally.

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Speaker 1: When a symptom allows you to get something.

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Speaker 4: You like, I don't want to go to that party

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Speaker 4: because my back hurts, okay, And so it's like you

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Speaker 4: get secondary gain from your back hurting.

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Speaker 1: Got it?

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Speaker 4: Okay?

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Speaker 1: So yes, got it?

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Speaker 5: So like when you when I use like diarrhea to

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Speaker 5: get out of things.

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Speaker 4: Exactly, Oh my god, if you go, I can't go

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Speaker 4: to the bathroom right now, I already have diarrhea.

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Speaker 1: I can't. I can't. Okay, Yeah that makes sense. Yeah,

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Speaker 1: I don't can't diarrhea that much. And when I do,

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Speaker 1: I I've talked about it before. I love it because

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Speaker 1: it just you feel you feel like clean.

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Speaker 4: Have you gotten a colonoscopy yet?

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Speaker 2: No?

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Speaker 4: Oh man, the night before you got to get a

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Speaker 4: colonosc You're gonna love it.

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Speaker 1: I don't think I will because you can't eat.

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Speaker 4: Well, that's true, but you get to poop out water

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Speaker 4: for hours on end and.

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Speaker 1: Then you do a photo just like, yeah, all the

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Speaker 1: most important photoshoot of your life. David Spade has a

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Speaker 1: great joke about when you got a colonoscopy and they're like,

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Speaker 1: so here are the pictures, now, do you want these?

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Speaker 1: And he's like, why would I want these? Like eight

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Speaker 1: tens of my colon? He was like, can I get

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Speaker 1: some wallet size for my friend? He does it better,

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Speaker 1: but it's so funny. Okay, So yeah, mom, you did

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Speaker 1: a good job not going to the Gracy Abram show

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Speaker 1: like that was a good thank you. It was I

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Speaker 1: thought it would be like reliving our Taylor Swift eras

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Speaker 1: tour moments, but I just did it. It wasn't the

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Speaker 1: same for you. I was by far the oldest person there.

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Speaker 1: Like Taylor Swift shows are loud, I would say tons

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Speaker 1: of girls fourteen to twenty five year old. It was

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Speaker 1: probably thirty five percent at Taylor Swift shows. But there's

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Speaker 1: a lot of adults there, even though it's.

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Speaker 3: Like because they're taking their young kids.

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Speaker 1: Yeah, we used to have been there. It's not all

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Speaker 1: young girls. Right, like Taylor No, yes, but Grace Abrams

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Speaker 1: was all young girls. It was like the parents didn't go.

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Speaker 1: They just dropped off the children, all little girls and

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Speaker 1: bows and it was really funny. Carlisle and I just

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Speaker 1: kept well, Carlile started, but she just kept taking every

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Speaker 1: Grace Abrams song and then fitting like like you know,

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Speaker 1: like I can't understand because I'm in mena pause, Like

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Speaker 1: she just got me. I don't know any of these

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Speaker 1: words because I'm older than your parents. Like we just

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Speaker 1: kept writing new lyrics and then that became fun. If

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Speaker 1: you turn anything into let's write jokes and try to

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Speaker 1: like make each other laugh, instant fun.

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Speaker 2: It's the best. It's the best. I met.

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Speaker 5: I loved going to movies with a bunch of comedians

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Speaker 5: and you was just talk during the movie, which is

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Speaker 5: so rude, but it.

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Speaker 2: Was, oh my god, the best.

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Speaker 1: It's the best.

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Speaker 4: That's actually a great tip for a first date or

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Speaker 4: for going on online dates or something. You can somehow

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Speaker 4: formulate an inside joke with your date about everything going

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Speaker 4: on around you that'll make the date.

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Speaker 1: So much better, right, Like what's a good what's a

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Speaker 1: good idea for that? Like let's try to guess what

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Speaker 1: the relationship is of everyone around us, maybe like people.

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Speaker 4: Sure, that's a great one. Yeah, yes, it just gives

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Speaker 4: you something like you see two people talking and you're like,

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Speaker 4: what do you think they're Ye is going on over there?

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Speaker 4: That's a fun one, Yeah for sure. One time, on

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Speaker 4: one of my early dates with Ali, I told the

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Speaker 4: I was at a restaurant. You have to give them

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Speaker 4: a name, and then they would yell out the name,

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Speaker 4: and then I gave them the name Hodor, so they

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Speaker 4: would have to open the door and you're table for

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Speaker 4: two Hodor.

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Speaker 1: And that's yeah, and that's kind of funny.

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Speaker 4: Yeah with Thrones. It was during Game of Thrones time,

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Speaker 4: so like a little inside like she's gonna say ho

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Speaker 4: door and we all were sitting there waiting for them

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Speaker 4: to say it. That's like a little fun little joke

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Speaker 4: that we got to share to get it. And now

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Speaker 4: we're married because of that.

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Speaker 1: You have to go out with someone who has a

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Speaker 1: sense of humor though, oh well, you know, it's like impossible.

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Speaker 4: I think that's true no matter what jokes were making.

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Speaker 1: Yeah, did you go in many dates? Sean? I feel

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Speaker 1: like I just met people through comedy.

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Speaker 5: I met people through comedy and then like immediately moved

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Speaker 5: in with them. I I just so happened to be

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Speaker 5: like I think I'm a lesbian in.

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Speaker 2: That way where a third date is the movement.

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Speaker 1: Yeah yeah, I think like did you met Aaron through

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Speaker 1: doing comedy?

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Speaker 2: Yeah? She came up to me and said she did.

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Speaker 2: She saw media stand up and liked it.

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Speaker 5: And then I was like, oh, oh at a mutual

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Speaker 5: friend's birthday party like Zach Broussard, yeah, yeah.

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Speaker 4: And comedians you should know.

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Speaker 5: Yeah, he's great, great, he was having a birthday party.

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Speaker 5: I went there with friends and then at like three am,

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Speaker 5: she came up to me and talked to me, and

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Speaker 5: I was like, oh, I think I'm going to marry her.

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Speaker 1: Oh my god, that's so cute. And she'd seen you

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Speaker 1: do stand up where.

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Speaker 5: At Union Pool, which is where I was like my drunkest,

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Speaker 5: like the worst I could possibly.

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Speaker 2: Yeah, it's just like.

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Speaker 1: So good for date. Like men don't Men who do

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Speaker 1: comedy do not have to be on the apps if

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Speaker 1: they're doing stand up regularly, right, and.

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Speaker 4: You get to go up in front of crowds and if.

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Speaker 1: You especially if I mean it doesn't matter if you're

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Speaker 1: yourself up there or not. Like you can just have

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Speaker 1: an act that's very different from your personality, but women

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Speaker 1: are definitely attracted to that, and it gives you, It

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Speaker 1: gives it's like peacocky, it gives a girl a reason

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Speaker 1: to come up to you. So like she liked you,

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Speaker 1: but she get to come up to you and say,

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Speaker 1: I like your act. Yeah, so it's not's not risking anything.

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Speaker 5: At all, Like she had no idea like how autistic

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Speaker 5: I was, and that's like little I just give her

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Speaker 5: a little hit.

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Speaker 1: Yeah, it's it's a it's a nice thing.

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Speaker 4: And yeah, why is that?

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Speaker 1: It's just I don't know. Well, I've said this before,

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Speaker 1: but I find that the person I am on stage

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Speaker 1: is very you know, a confident person obviously has to

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Speaker 1: be exuding that really self assured, knows who she is,

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Speaker 1: knows what she wants, kind of a ballbuster, especially like

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Speaker 1: roast stuff. And so any guy that's like really attracted

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Speaker 1: to that, like the persona that I am is going

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Speaker 1: to it doesn't reflect who I am.

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Speaker 6: So I don't really I don't want your real self

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Speaker 6: that's what you're No, I'm just saying.

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Speaker 1: It is a part of myself that I'm a performer.

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Speaker 1: But I think off stage in a relationship, I don't

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Speaker 1: want someone who wants that, Like, so, someone who's attracted

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Speaker 1: to that, and like I want to date that girl,

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Speaker 1: I'm not going to show up like that in the relationship.

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Speaker 1: So I feel like that is I'm not attracted to

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Speaker 1: the kind of man that's attracted to that.

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Speaker 3: That explains a lot.

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Speaker 1: And as a woman, Chris don't I don't know about you. Yeah,

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Speaker 1: we'll get to Chris, but as a woman, like you

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Speaker 1: just don't want a guy like like being like high

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Speaker 1: nice to meet, like, like you don't want a guy

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Speaker 1: trying you. I don't know, at least for me. I

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Speaker 1: just I'm anxious attached, So I want someone who seems

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Speaker 1: to be not interested in me a little bit, and

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Speaker 1: then I have to win it, like.

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Speaker 3: The fight, what you like that fight.

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Speaker 1: To get I just like to earn things. Yeah, And

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Speaker 1: like even last night we were at the Emmy's party

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Speaker 1: and we'll get into that, but we were at the

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Speaker 1: HBO Emmy's party and we were in this like amazing

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Speaker 1: karaoke room which was so fun, and uh, we got

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Speaker 1: home last night after it and we were talking about

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Speaker 1: how Chris looked so cute and he was like, yeah,

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Speaker 1: I actually got hit on tonight and I was.

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Speaker 4: Like, huh oh I saw it.

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Speaker 5: I was like, I was like, damn, yeah, it was

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Speaker 5: it was bold like and it was like her she

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Speaker 5: was the aggressor, yep. And it was wild to watch

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Speaker 5: because I'm like, oh wow, Chris is like fucking fly

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Speaker 5: like because it was like the hot black woman who

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Speaker 5: was like, what's your name? And I was like, they

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Speaker 5: could talk to you.

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Speaker 1: Like I will say that, it makes sense he ends

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Speaker 1: up with me, Like he has always gone for girls

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Speaker 1: that kind of like go after him like that, that

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Speaker 1: are just like, hey, what's your deal? Like that. He's

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Speaker 1: not usually the one that goes He's not the hunter

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Speaker 1: when it comes to Yeah, He's often even said that

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Speaker 1: he will in the past. He has when he was

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Speaker 1: a single man, like hooked up with a girl just

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Speaker 1: because she like she wanted it so bad, she like

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Speaker 1: deserved it, like she just she like put in the

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Speaker 1: effort so much, like where she was like hit on

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Speaker 1: him enough and like had so like was bold enough

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Speaker 1: that he's like, yeah, this girl, and and not in

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Speaker 1: a way that like I'm gonna pretend to be your

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Speaker 1: boyfriend or or mislead her like I'm where he's just

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Speaker 1: been like, no, she deserves it, Like she really like

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Speaker 1: put herself out there, and like that was cool. He

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Speaker 1: respects a badass woman. Like, so this girl, do you

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Speaker 1: witnessed it? What did she say?

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Speaker 5: She she literally he was like she was walking by,

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Speaker 5: like she was leaving, because she was sitting there and

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Speaker 5: like her song wasn't getting called or anything. And then

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Speaker 5: she walked by and then she turned back and she goes,

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Speaker 5: what's your name? And I'm like, what is happening? This

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Speaker 5: is insane because like truly she was there with probably

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Speaker 5: like a star of at HBO show.

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Speaker 1: Yeah yeah, yeah yeah.

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Speaker 5: And like she was just like, you know, I'm gonna

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Speaker 5: pick him up. It was the only other time I've

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Speaker 5: ever seen anything like that. I was backstage at Conan

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Speaker 5: with Julian McCollough and Sharon Stone walked into his dressing

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Speaker 5: room and was like, I meet everyone, and she gave

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Speaker 5: him a kiss on the lips and then walked away.

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Speaker 5: And I'm like, she said she met everyone. She didn't

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Speaker 5: even look at her. She felt that way.

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Speaker 1: Yeah, well yeah, she was like, what's your story? And

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Speaker 1: he's like, oh, I'm a TV producer or whatever, and

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Speaker 1: she was like, and she just I boldly was like

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Speaker 1: are you married? Like she just straight up was like,

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Speaker 1: are you married? He goes, no, my girlfriend's right there,

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Speaker 1: and she goes okay. Oh, she goes you should find

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Speaker 1: me or something, and he goes, oh, okay, you know,

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Speaker 1: like sure, and then I think she worked at some

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Speaker 1: agency and he goes, oh, yeah, he's being polite, and

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Speaker 1: she was wait, are you married? And he goes, no,

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Speaker 1: my girlfriends are there, and she goes, okay, then don't

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Speaker 1: find me. I love this girl wherever you are. You're amazing,

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Speaker 1: and you've just approved our sex life a lot. Because

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Speaker 1: like now I'm like, oh, it's like he's It's that

254
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Speaker 1: charges me up because I'm like, oh, I got he

255
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Speaker 1: love that. I want competition. I like to win, not

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Speaker 1: that I feel like i'm but even if she won,

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Speaker 1: I would still like it, Like even if you like.

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Speaker 4: For a few weeks. Yeah, he really Chris Bone.

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Speaker 1: I honestly will I'll throw her a bone and I

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Speaker 1: really I want, I like, I like, because then I'd

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Speaker 1: be like, well then I got to get him back.

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Speaker 2: Yeah.

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Speaker 4: Yeah, I like it a lot.

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Speaker 1: Everybody went it's really fun. Yeah, everybody wins, right, Yeah,

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Speaker 1: I think everyone wins in that situation. I don't think

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Speaker 1: I know he's like he he knows that I'm like

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Speaker 1: this and like and that. But the good thing about

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Speaker 1: it is had he doesn't have to ever hide things

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Speaker 1: when he's maybe gets hit on, Like he knows that

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Speaker 1: he can tell me about that stuff and I will

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Speaker 1: only like it. I'll never be like, wait, what did

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Speaker 1: she say? What did she look like? Like, I'll never

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Speaker 1: there's never he no. I think at first he probably

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Speaker 1: didn't trust that I was like actually as into it

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Speaker 1: as I said, I was going to be into it

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Speaker 1: because it seems like.

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Speaker 3: This stuff.

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Speaker 1: But now he just can say it casually and I'll

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Speaker 1: be like huh, and so he like he knows that

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Speaker 1: I'm not going to be like.

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Speaker 7: So, how did you find out about this one? He

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Speaker 7: just like, weren't there? Did he tell you?

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Speaker 1: Yeah? He just told us. We were like eating pizza

284
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Speaker 1: later on, impressing.

285
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Speaker 2: You guys were in front of us.

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Speaker 1: I didn't witness it. I would have loved to witness it,

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Speaker 1: but he just like mentioned it because I was like, oh,

288
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Speaker 1: you look so good tonight. He was like, actually I

289
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Speaker 1: got hit on for the first time in a while,

290
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Speaker 1: or so you know, like, and then I was like,

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Speaker 1: wait what happened? And then he told the story, so

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Speaker 1: it was it was awesome.

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Speaker 5: It was shocking to see, Like I literally like shade

294
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Speaker 5: tipped as she walked by, Like I went like, he's.

295
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Speaker 1: So respectful too. I'm like, wait, what did she look like?

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Speaker 1: I wouldn't know what she looks like because I'm like,

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Speaker 1: she looks like he was like, he just he wouldn't

298
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Speaker 1: even get into that. He's like, she's a nice girl.

299
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Speaker 1: Like He's like, he won't. He's so respectful of women

300
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Speaker 1: in a lovely way. I love last night that he did.

301
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Speaker 1: He really got it, got that hot. He's been losing

302
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Speaker 1: some weight, He's been getting it together. It's so funny,

303
00:13:22,400 --> 00:13:24,760
Speaker 1: Like he gains some weight. He does not care about

304
00:13:24,800 --> 00:13:27,760
Speaker 1: being called fat. There's no part of him that connects

305
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Speaker 1: that to his worth or who he is as a person.

306
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Speaker 1: There is no zero connection. It's as if it's it's

307
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Speaker 1: almost the same as like being like, oh, you have

308
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Speaker 1: like some food in your teeth, Like it's actually that's

309
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Speaker 1: probably more embarrassing for most people, but it's like to him,

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Speaker 1: it's just like it's something I can fix. I just

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Speaker 1: have to like eat better.

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Speaker 4: And it'll go back to it because he knows I

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Speaker 4: can relate to this one because it's like I know

314
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Speaker 4: that I'm overweight. I know that I could lose some weight.

315
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Speaker 4: When you have something in your teeth, it's like these

316
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Speaker 4: people have a secret imperfection that they've known about you

317
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Speaker 4: for some time and it's gotten so bad that they're

318
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Speaker 4: finally like, I have to say something person.

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Speaker 2: Oh yeah.

320
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Speaker 1: That's the worst is when you know there's been talk

321
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Speaker 1: around you about something and then finally someone is like,

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Speaker 1: I'm going to do it, and you know they've talked

323
00:14:13,640 --> 00:14:15,559
Speaker 1: to so many people about how they're going to say

324
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Speaker 1: it to you, and then you know after the talk,

325
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Speaker 1: they're going to go tell everyone I told her.

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Speaker 2: Yeah yeah, yeah.

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Speaker 1: Oh I can't stand that.

328
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Speaker 5: No, no, no, I I'm the opposite. I'm I wish

329
00:14:26,720 --> 00:14:29,480
Speaker 5: I could be normal. I all I think about is

330
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Speaker 5: every imperfection and I just like go through my life

331
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Speaker 5: thinking about how much I hate myself.

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Speaker 1: So oh yeah, that's how I feel too.

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Speaker 3: Yeah.

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Speaker 1: I couldn't have if someone ever told me I know

335
00:14:39,760 --> 00:14:43,480
Speaker 1: what's going on with me, but if anyone everst verbalized it,

336
00:14:43,520 --> 00:14:46,040
Speaker 1: like his family was just like Jesus, Chris he took

337
00:14:46,040 --> 00:14:47,840
Speaker 1: off a shirt one day and I wasn't there to

338
00:14:47,880 --> 00:14:50,240
Speaker 1: witness it, but they were like, what is going on?

339
00:14:50,520 --> 00:14:52,840
Speaker 1: And and and you're just like yeah, yeah, like they

340
00:14:52,960 --> 00:14:56,040
Speaker 1: just like fact shamed him, and and then.

341
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Speaker 3: He was there.

342
00:14:57,040 --> 00:14:59,200
Speaker 1: Was it at Oh yeah, it was at Glasshouse too.

343
00:14:59,320 --> 00:14:59,960
Speaker 1: They did it there too.

344
00:15:00,200 --> 00:15:03,560
Speaker 3: I think I saw the can fat a place called positive.

345
00:15:04,280 --> 00:15:09,000
Speaker 1: He did there, But it wasn't even shaming because they

346
00:15:09,120 --> 00:15:13,080
Speaker 1: know their whole their family doesn't have issues with food

347
00:15:13,240 --> 00:15:15,200
Speaker 1: and like that kind of stuff.

348
00:15:15,320 --> 00:15:15,920
Speaker 3: They don't eat.

349
00:15:16,360 --> 00:15:18,520
Speaker 1: No, they do. They yes they do.

350
00:15:19,320 --> 00:15:20,040
Speaker 3: I'm just kidding.

351
00:15:20,080 --> 00:15:24,480
Speaker 1: Yeah, but like they they just don't. I just I've

352
00:15:24,560 --> 00:15:27,200
Speaker 1: never met anyone, I don't think literally anyone that could

353
00:15:27,240 --> 00:15:29,320
Speaker 1: handle a comment like that and not let it like

354
00:15:29,960 --> 00:15:32,920
Speaker 1: stick in their head and feel so bad.

355
00:15:33,440 --> 00:15:35,000
Speaker 2: Parents so hard.

356
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Speaker 1: You wouldn't have even needed a brother to help me,

357
00:15:40,320 --> 00:15:44,800
Speaker 1: would have done it on your own. But yeah, he's

358
00:15:44,840 --> 00:15:47,520
Speaker 1: looking pretty slemon trim and and and cute.

359
00:15:47,360 --> 00:15:50,280
Speaker 6: And uh yeah, now you got some worries. No, I

360
00:15:52,040 --> 00:15:55,760
Speaker 6: don't even like it's like not even nothing. I know

361
00:15:56,000 --> 00:15:59,000
Speaker 6: you like that somebody else is looking at him.

362
00:15:58,880 --> 00:16:01,280
Speaker 1: Yeah, because it doesn't He's not going to cheat on me,

363
00:16:01,360 --> 00:16:05,600
Speaker 1: So I don't care, Like what don't don't if you

364
00:16:05,600 --> 00:16:07,480
Speaker 1: have a nice car you want other people to go

365
00:16:07,640 --> 00:16:09,720
Speaker 1: that's a nice car. I'd like to have that. Or

366
00:16:10,400 --> 00:16:12,400
Speaker 1: as a jealous woman. I mean, Noah, you've been a

367
00:16:12,440 --> 00:16:16,760
Speaker 1: jealous woman before. Is it different for you that when

368
00:16:16,800 --> 00:16:19,040
Speaker 1: a oh she didn't know that? You know if a woman,

369
00:16:19,280 --> 00:16:22,480
Speaker 1: if you sense a woman is attracted to your husband,

370
00:16:23,080 --> 00:16:26,560
Speaker 1: do you are you like pissed at the whole idea

371
00:16:26,600 --> 00:16:29,840
Speaker 1: of it? Or it's only like is it different than

372
00:16:30,000 --> 00:16:32,320
Speaker 1: someone coveting your car if you have a nice car.

373
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Speaker 7: So Noah of the past, yes, because you think that

374
00:16:35,680 --> 00:16:38,000
Speaker 7: like your partner's gonna go for it, and then this

375
00:16:38,600 --> 00:16:41,760
Speaker 7: whole thing just starts to snowball in your mind. Yeah,

376
00:16:41,760 --> 00:16:45,400
Speaker 7: but Noah of the present, Like I totally relate. It's like, yes,

377
00:16:45,560 --> 00:16:48,200
Speaker 7: she wants what I have, Yeah, and that feels kind

378
00:16:48,200 --> 00:16:48,480
Speaker 7: of good.

379
00:16:48,720 --> 00:16:52,560
Speaker 1: Yeah, I just and I actually like coveting a car.

380
00:16:52,600 --> 00:16:55,520
Speaker 1: It's different because a car I can get if I

381
00:16:55,680 --> 00:16:59,320
Speaker 1: just get money, and money is like I just don't,

382
00:16:59,680 --> 00:17:02,160
Speaker 1: I know, don't really respect people who have lots. I'm

383
00:17:02,160 --> 00:17:04,520
Speaker 1: not like, wow, they have money, like they are special

384
00:17:04,560 --> 00:17:07,159
Speaker 1: because they have money. Usually it's like nefarious and or

385
00:17:07,280 --> 00:17:10,240
Speaker 1: luck because their parents have money, you know, like but

386
00:17:10,440 --> 00:17:13,760
Speaker 1: someone who has someone that's shiny and someone who is

387
00:17:13,800 --> 00:17:15,760
Speaker 1: great and cool and attractive, And it takes a.

388
00:17:15,680 --> 00:17:18,879
Speaker 7: Lot to convince a person, like you're actually convincing a

389
00:17:18,920 --> 00:17:20,000
Speaker 7: person to be with you.

390
00:17:20,240 --> 00:17:22,480
Speaker 1: Yes, I had to convince my car to be with me.

391
00:17:23,119 --> 00:17:30,000
Speaker 1: It's it's a smart car, so it picks up. Yeah,

392
00:17:30,560 --> 00:17:32,960
Speaker 1: it really I had to. That's why I've been working

393
00:17:32,960 --> 00:17:35,000
Speaker 1: on my vocabulary because when I talk to it and

394
00:17:35,119 --> 00:17:37,639
Speaker 1: tell it to back up, it's like, can you use

395
00:17:37,680 --> 00:17:42,920
Speaker 1: another word? And I'm like so anyway, Yeah, I think

396
00:17:42,920 --> 00:17:45,760
Speaker 1: that I that means more like my people being like

397
00:17:45,800 --> 00:17:47,840
Speaker 1: I wish I could be friends with her friend, Like

398
00:17:47,920 --> 00:17:51,199
Speaker 1: I'm my family, not so much because I didn't earn you.

399
00:17:51,760 --> 00:17:53,600
Speaker 1: But I am proud of my family. But I'm more

400
00:17:53,640 --> 00:17:55,879
Speaker 1: proud of like the people I collect around me that

401
00:17:55,960 --> 00:17:57,080
Speaker 1: don't have to be with me.

402
00:17:57,400 --> 00:17:57,960
Speaker 3: Understood.

403
00:17:58,280 --> 00:18:01,440
Speaker 1: Yeah, yeah, what how do you feel when dad gets

404
00:18:01,480 --> 00:18:01,720
Speaker 1: hit on?

405
00:18:02,600 --> 00:18:06,159
Speaker 3: Uh? I don't know how I feel. I just just

406
00:18:06,240 --> 00:18:07,320
Speaker 3: run it through. Well.

407
00:18:07,520 --> 00:18:12,159
Speaker 6: I think it's uh interesting because he he does get

408
00:18:12,240 --> 00:18:12,560
Speaker 6: hit on.

409
00:18:12,840 --> 00:18:15,160
Speaker 3: Yeah, I don't. I don't think I care.

410
00:18:15,560 --> 00:18:18,200
Speaker 1: Yeah, because you're it's secure, I've got him.

411
00:18:18,440 --> 00:18:19,920
Speaker 2: Yeah, he's not going.

412
00:18:20,080 --> 00:18:21,840
Speaker 3: I don't think he's going anyway. I don't know.

413
00:18:22,160 --> 00:18:23,760
Speaker 1: Yeah, okay, well let's go to break. We'll come back up.

414
00:18:25,680 --> 00:18:32,480
Speaker 1: You think about that. So last night was the Emmys

415
00:18:32,880 --> 00:18:36,160
Speaker 1: and then the Emmy's parties. Did you watch the Emmys?

416
00:18:36,200 --> 00:18:38,720
Speaker 4: Not all of it? It was quite long, and but

417
00:18:38,760 --> 00:18:40,440
Speaker 4: I did appreciate the things that I saw.

418
00:18:40,880 --> 00:18:41,240
Speaker 1: Okay.

419
00:18:41,400 --> 00:18:43,840
Speaker 4: I was also up against the West Coast feed came

420
00:18:43,880 --> 00:18:49,280
Speaker 4: on directly against Sunday Night Football Bears. Ali's a huge

421
00:18:49,280 --> 00:18:51,640
Speaker 4: Bears fans were definitely watching the game. So I kind

422
00:18:51,640 --> 00:18:53,000
Speaker 4: of was like flipping back and forth to.

423
00:18:53,119 --> 00:18:55,680
Speaker 1: A huge Bear fan because yes, that.

424
00:18:57,760 --> 00:18:59,120
Speaker 2: I heard. Yeah.

425
00:18:59,359 --> 00:19:02,479
Speaker 4: In fact, she was on a work trip in New

426
00:19:02,600 --> 00:19:05,640
Speaker 4: York this past week and she was flying from uh

427
00:19:06,000 --> 00:19:10,000
Speaker 4: New York to LA And on her flight from New

428
00:19:10,080 --> 00:19:15,720
Speaker 4: York to l A, she saw the fort her name

429
00:19:15,800 --> 00:19:21,600
Speaker 4: the woman from the Bear who plays the the chef one. Yeah,

430
00:19:21,600 --> 00:19:22,119
Speaker 4: the one who won.

431
00:19:22,280 --> 00:19:28,600
Speaker 5: What's her name, Lisa col Maybe I think so, Maybe

432
00:19:28,640 --> 00:19:31,119
Speaker 5: I think so, But if not, I could be wrong.

433
00:19:31,640 --> 00:19:33,920
Speaker 1: You got closer than so.

434
00:19:33,960 --> 00:19:37,000
Speaker 4: She saw her sitting at the airport terminal and Ali

435
00:19:37,119 --> 00:19:39,880
Speaker 4: was running late, and she was sprinted into the terminal

436
00:19:40,119 --> 00:19:41,680
Speaker 4: and she ran up to the door and the door

437
00:19:41,800 --> 00:19:44,600
Speaker 4: was closed and she was like, no, my life's over.

438
00:19:44,920 --> 00:19:46,520
Speaker 4: And it turns out that the flight was delayed and

439
00:19:46,560 --> 00:19:48,160
Speaker 4: the door was closed because the plane wasn't even there.

440
00:19:49,160 --> 00:19:50,919
Speaker 4: She was like, oh my god. And then Lisa Colonne

441
00:19:50,960 --> 00:19:53,720
Speaker 4: Rays was sitting right there, saw the whole thing and

442
00:19:53,880 --> 00:19:55,560
Speaker 4: was like a little bit like laughing, and they were

443
00:19:55,600 --> 00:19:56,480
Speaker 4: all laughing together.

444
00:19:57,000 --> 00:19:58,200
Speaker 1: See the Bear is a comedy.

445
00:19:58,320 --> 00:20:02,160
Speaker 2: Yeah, that was the first time she's ever laughed.

446
00:20:04,880 --> 00:20:07,120
Speaker 7: I think it's Olivia Coleman, by the way.

447
00:20:07,080 --> 00:20:11,600
Speaker 1: No, it's she won She won Best Supporting in a

448
00:20:11,680 --> 00:20:14,640
Speaker 1: Comedy Series last night. That is who we're talking about.

449
00:20:14,680 --> 00:20:16,600
Speaker 2: Yeah, Olivia.

450
00:20:17,240 --> 00:20:21,280
Speaker 1: Yeah, she's from the She played the stepmother in uh

451
00:20:21,440 --> 00:20:23,200
Speaker 1: the best show that ever Fleabag.

452
00:20:23,480 --> 00:20:26,280
Speaker 8: Yes, and she's in The Crown. I mean she's in

453
00:20:26,800 --> 00:20:31,840
Speaker 8: She's in the Favorite, which is great. She said, wonka,

454
00:20:32,200 --> 00:20:33,879
Speaker 8: Oh she is She's amazing.

455
00:20:34,040 --> 00:20:35,399
Speaker 1: Yeah, okay.

456
00:20:35,480 --> 00:20:38,199
Speaker 4: So so also this is this applies to a lot

457
00:20:38,200 --> 00:20:40,479
Speaker 4: of topics we've been discussing. So she's she went and

458
00:20:40,480 --> 00:20:42,359
Speaker 4: she sat down after she had that just like smile

459
00:20:42,440 --> 00:20:44,359
Speaker 4: moment with this person who's not oliving.

460
00:20:44,440 --> 00:20:46,000
Speaker 1: She recognized her right away.

461
00:20:46,080 --> 00:20:51,320
Speaker 4: Immediately, and she sat down and then some guy started

462
00:20:51,359 --> 00:20:54,440
Speaker 4: hitting on her and she.

463
00:20:54,760 --> 00:20:56,159
Speaker 1: Gets hit on all the time. She has such a

464
00:20:56,160 --> 00:20:57,080
Speaker 1: friendly disposition.

465
00:20:57,359 --> 00:20:59,840
Speaker 4: Yes, she gets hit on constantly. But she was wearing

466
00:20:59,880 --> 00:21:03,040
Speaker 4: a Chicago Bear shirt that just had the face of

467
00:21:03,080 --> 00:21:05,040
Speaker 4: the Bear, which is kind of like the same logo

468
00:21:05,080 --> 00:21:08,399
Speaker 4: as the Bear restaurant exactly the show. Some guy was

469
00:21:08,440 --> 00:21:10,480
Speaker 4: hitting on He was like, hey, cool shirt, go Bears

470
00:21:10,520 --> 00:21:12,200
Speaker 4: Bear down and he was trying to talk to her,

471
00:21:12,400 --> 00:21:13,800
Speaker 4: and then she's like, I need to get out of

472
00:21:13,840 --> 00:21:18,320
Speaker 4: this guy hitting on this situation. So she said, hey,

473
00:21:18,760 --> 00:21:20,879
Speaker 4: over there is the person from the Bear I've been

474
00:21:20,920 --> 00:21:22,800
Speaker 4: thinking about going to talk to her. Do you think

475
00:21:22,800 --> 00:21:25,680
Speaker 4: that's a good idea. And then the guy was like, yeah,

476
00:21:25,800 --> 00:21:28,639
Speaker 4: go say hello. And so it achieved two things. It

477
00:21:28,680 --> 00:21:30,800
Speaker 4: gave her the confidence to go talk to the person

478
00:21:30,920 --> 00:21:32,720
Speaker 4: and got her out of the hitting on situation.

479
00:21:33,240 --> 00:21:36,520
Speaker 1: Incredible, And that woman is new to being recognizable, so

480
00:21:37,080 --> 00:21:40,040
Speaker 1: probably she's not like, it's not like seeing Tom Hanks

481
00:21:40,119 --> 00:21:40,840
Speaker 1: or someone who's.

482
00:21:40,640 --> 00:21:43,560
Speaker 5: Like, no, who's going to like, you know, this is

483
00:21:44,080 --> 00:21:46,600
Speaker 5: great for her, Like she's gonna have a story to tell.

484
00:21:46,800 --> 00:21:49,920
Speaker 1: It's perfect. Yeah, she did an inconvenience this woman and she's.

485
00:21:49,760 --> 00:21:52,240
Speaker 4: On her way to the Emmys. Most films, Oh, Yeah.

486
00:21:52,600 --> 00:21:54,440
Speaker 4: So Ali went up to her and she said, I'm

487
00:21:54,440 --> 00:21:56,440
Speaker 4: such a huge fan. She was with her husband who's

488
00:21:56,480 --> 00:21:58,720
Speaker 4: also on the show, who also plays her husband on

489
00:21:58,800 --> 00:22:02,560
Speaker 4: the show. Wow, Yeah, her real life husband, and so

490
00:22:02,600 --> 00:22:05,359
Speaker 4: they chatted and she was so gracious and clearly this

491
00:22:05,400 --> 00:22:08,520
Speaker 4: doesn't happen a lot to her yet, but because she

492
00:22:08,600 --> 00:22:11,120
Speaker 4: was like extremely like happy. And then Ali sat down

493
00:22:11,160 --> 00:22:14,520
Speaker 4: after they had a great exchange and secretly on her computer,

494
00:22:15,080 --> 00:22:19,879
Speaker 4: U was watching not Olivia Coleman the whole time, and

495
00:22:19,920 --> 00:22:22,360
Speaker 4: no one else went up to her. So she knows

496
00:22:22,720 --> 00:22:26,000
Speaker 4: that this this person doesn't get approached a lot yet. Yes,

497
00:22:26,040 --> 00:22:28,840
Speaker 4: and so she got in early, like investing in Amazon

498
00:22:28,880 --> 00:22:32,200
Speaker 4: early in the n That's so great. Yeah, that was

499
00:22:32,200 --> 00:22:33,879
Speaker 4: a great exchange. And also you can just tell that

500
00:22:33,920 --> 00:22:36,439
Speaker 4: she's going to be a nice person matter even if

501
00:22:36,440 --> 00:22:37,520
Speaker 4: she was super famous.

502
00:22:37,600 --> 00:22:39,560
Speaker 1: That's really cool. And do we have her name yet?

503
00:22:40,119 --> 00:22:43,680
Speaker 7: Yes, it's Lisa colonezeas so close.

504
00:22:46,920 --> 00:22:48,040
Speaker 2: I said, Lisa Cologne.

505
00:22:48,960 --> 00:22:52,800
Speaker 1: Okay, that's anyone.

506
00:22:53,119 --> 00:22:57,280
Speaker 4: II it's Lisa Cologne Ray.

507
00:22:57,359 --> 00:22:58,880
Speaker 1: No, none of us remembered it at all.

508
00:23:01,280 --> 00:23:01,879
Speaker 2: I was saying, I.

509
00:23:02,080 --> 00:23:03,480
Speaker 4: Thought her name was Selena.

510
00:23:03,119 --> 00:23:09,120
Speaker 1: Gomez just was was there last night? It was Yeah,

511
00:23:09,119 --> 00:23:11,639
Speaker 1: I watched we what what? Yeah, we watched us that

512
00:23:11,640 --> 00:23:13,840
Speaker 1: we were getting our hair and makeup done. It was

513
00:23:13,880 --> 00:23:14,440
Speaker 1: fun to watch.

514
00:23:14,520 --> 00:23:16,280
Speaker 6: Yeah, it was hard to watch though, what do you

515
00:23:16,320 --> 00:23:19,280
Speaker 6: mean a lot of noise and I don't know, a lot.

516
00:23:19,119 --> 00:23:21,639
Speaker 1: Of noise in the room. Yeah, oh yeah, everyone's talking

517
00:23:21,680 --> 00:23:23,720
Speaker 1: and trying to watch and yeah yeah.

518
00:23:23,560 --> 00:23:25,119
Speaker 6: No, So it was I was like I kind of

519
00:23:25,119 --> 00:23:28,439
Speaker 6: looked back and saw who won this morning, because I'm like,

520
00:23:28,800 --> 00:23:29,840
Speaker 6: I didn't catch all that.

521
00:23:30,119 --> 00:23:32,159
Speaker 1: Yeah, And at one point I just screwed up. That

522
00:23:32,160 --> 00:23:35,280
Speaker 1: guy was my first blow job because he was there.

523
00:23:35,400 --> 00:23:37,920
Speaker 1: I won't say who it was. I was really excited

524
00:23:37,960 --> 00:23:42,000
Speaker 1: to identify him, uh, for the for the and then

525
00:23:42,040 --> 00:23:44,720
Speaker 1: I I like said it so quickly because he was

526
00:23:44,720 --> 00:23:46,040
Speaker 1: going to be off the screen. And it's just a

527
00:23:46,080 --> 00:23:48,200
Speaker 1: funny thing to say, like when your hair and makeup

528
00:23:48,200 --> 00:23:50,880
Speaker 1: team just just got like I've said it before because

529
00:23:50,880 --> 00:23:52,760
Speaker 1: I see his face pop up often and it's just

530
00:23:52,760 --> 00:23:55,440
Speaker 1: a funny thing to it because and it's like, how

531
00:23:55,520 --> 00:23:57,399
Speaker 1: was that your first? Like people were like, was your first,

532
00:23:57,400 --> 00:24:00,720
Speaker 1: like when you were like thirty five, and it wasn't.

533
00:24:00,760 --> 00:24:02,560
Speaker 1: It was in college, but it was my first, And

534
00:24:02,600 --> 00:24:04,359
Speaker 1: I was like, that was my first in and then

535
00:24:04,359 --> 00:24:06,080
Speaker 1: I forgot my mom was there as I said that.

536
00:24:06,560 --> 00:24:09,359
Speaker 1: I think, yeah, I think, but then I forgot. Chris

537
00:24:09,400 --> 00:24:10,480
Speaker 1: was in the other room when I said it, but

538
00:24:10,480 --> 00:24:10,960
Speaker 1: I don't think he.

539
00:24:10,960 --> 00:24:13,120
Speaker 3: Remember, and I don't think he was there. He wasn't there.

540
00:24:13,200 --> 00:24:15,119
Speaker 1: No, he was in the other room football, but he

541
00:24:15,160 --> 00:24:17,520
Speaker 1: didn't hear. It's okay. He knows that I've getten then

542
00:24:17,600 --> 00:24:19,800
Speaker 1: before him, yeah.

543
00:24:19,720 --> 00:24:21,000
Speaker 3: He knows all about him.

544
00:24:21,040 --> 00:24:22,840
Speaker 1: It was actually him. It was his reflection on the TV,

545
00:24:24,400 --> 00:24:28,280
Speaker 1: first on my last and then yeah, that was funny

546
00:24:29,040 --> 00:24:31,960
Speaker 1: because then Leah, who was doing your hair and makeup

547
00:24:32,000 --> 00:24:36,879
Speaker 1: last night, they were doing the in Memoriam and someone

548
00:24:36,920 --> 00:24:39,199
Speaker 1: came up and she goes, oh, he gave me my

549
00:24:39,280 --> 00:24:43,240
Speaker 1: first Tiffany's necklace, and we all go what And I go,

550
00:24:43,359 --> 00:24:46,000
Speaker 1: who gave you your second? She goes, it was my

551
00:24:46,080 --> 00:24:49,919
Speaker 1: only one. I go, so you can just say it

552
00:24:49,960 --> 00:24:54,880
Speaker 1: was Richard Simmons. She worked with Richard Simmons to lose weight,

553
00:24:55,080 --> 00:24:57,800
Speaker 1: and she after she lost her first hundred pounds, he

554
00:24:57,840 --> 00:25:02,760
Speaker 1: gave her a Tiffany Now clist. And then she also

555
00:25:02,800 --> 00:25:06,000
Speaker 1: shared a story that he would grab her ass all

556
00:25:06,000 --> 00:25:07,800
Speaker 1: the time and says, I made this ass so I

557
00:25:07,800 --> 00:25:15,919
Speaker 1: can grab it and I thought, all, right, time, and

558
00:25:15,960 --> 00:25:17,600
Speaker 1: you can't cancel someone who's dead.

559
00:25:17,960 --> 00:25:19,200
Speaker 2: You can, you can?

560
00:25:19,320 --> 00:25:25,040
Speaker 1: You can doctor suits? Didn't we to cancel doctor suits?

561
00:25:25,560 --> 00:25:27,000
Speaker 4: He gets away with it again and again.

562
00:25:27,840 --> 00:25:32,000
Speaker 1: Richardsons can't like he's beyond. She only shared it because

563
00:25:32,000 --> 00:25:33,159
Speaker 1: she was delighted by that.

564
00:25:33,440 --> 00:25:36,119
Speaker 2: Yeah, that's fine. No, Richard was a hero.

565
00:25:36,920 --> 00:25:42,760
Speaker 6: Yeah, he's as one hundred pounds.

566
00:25:42,760 --> 00:25:45,600
Speaker 1: That's huge, she said, her first under pounds she lost.

567
00:25:45,680 --> 00:25:47,320
Speaker 1: She's lost one hundred pounds a couple of times.

568
00:25:47,640 --> 00:25:50,200
Speaker 4: Wow, it's amazing situation.

569
00:25:52,280 --> 00:25:54,159
Speaker 3: All about that necklace. I want another one.

570
00:25:54,280 --> 00:25:55,400
Speaker 1: Yeah, it was the way we would fit.

571
00:25:56,200 --> 00:25:58,640
Speaker 4: So where were you sitting in the audience there?

572
00:25:59,080 --> 00:25:59,680
Speaker 1: I wasn't there.

573
00:26:00,160 --> 00:26:02,399
Speaker 4: You weren't No, I thought you were there? Oh just

574
00:26:02,440 --> 00:26:02,960
Speaker 4: the parties?

575
00:26:03,080 --> 00:26:06,840
Speaker 1: Yeah, just because I wasn't. They said, because I go?

576
00:26:06,920 --> 00:26:11,119
Speaker 1: Can I still go if I last week? And they

577
00:26:11,160 --> 00:26:14,720
Speaker 1: said no, it's only people who are nominated. And then

578
00:26:14,920 --> 00:26:17,399
Speaker 1: I was like, oh okay. After I heard that, I'm like,

579
00:26:17,400 --> 00:26:19,880
Speaker 1: I'm going to send screenshots of everyone who's there that's

580
00:26:19,920 --> 00:26:22,720
Speaker 1: not not I mean, there were so many social media influencers,

581
00:26:22,760 --> 00:26:24,719
Speaker 1: YouTube stars there. I'm like, are they not it?

582
00:26:24,960 --> 00:26:25,160
Speaker 7: Yeah?

583
00:26:25,240 --> 00:26:27,800
Speaker 1: Exactly, But it's fine. I actually am glad that I

584
00:26:27,840 --> 00:26:30,919
Speaker 1: didn't have to go, because then I would have had

585
00:26:30,960 --> 00:26:32,960
Speaker 1: to get hair and makeup done at twelve. This way,

586
00:26:32,960 --> 00:26:34,800
Speaker 1: it was like getting it at six o'clock. It was

587
00:26:34,840 --> 00:26:36,159
Speaker 1: it's just sort of been a long day and you

588
00:26:36,240 --> 00:26:38,720
Speaker 1: just sit there and it's you know, it's a long ceremony.

589
00:26:38,880 --> 00:26:39,760
Speaker 1: I can watch it on TV.

590
00:26:40,000 --> 00:26:41,800
Speaker 4: There are people who won who didn't even deserve to

591
00:26:41,840 --> 00:26:42,320
Speaker 4: be there.

592
00:26:44,600 --> 00:26:47,199
Speaker 1: In your opinion, right, right, Well, yeah, and then we

593
00:26:47,240 --> 00:26:51,120
Speaker 1: went to parties, but Sean went was Chris's plus one.

594
00:26:51,200 --> 00:26:53,200
Speaker 1: My mom was my plus one. And then we went

595
00:26:53,280 --> 00:26:56,520
Speaker 1: to the Netflix party, which was fun. There are a

596
00:26:56,520 --> 00:26:58,240
Speaker 1: lot of people from Love on the Spectrum.

597
00:26:57,840 --> 00:26:58,800
Speaker 4: There was cool.

598
00:26:58,880 --> 00:27:02,280
Speaker 5: Like my jaw hit the floor when I saw a

599
00:27:02,359 --> 00:27:04,440
Speaker 5: Love on the Spectrum cast member that I can't remember

600
00:27:04,480 --> 00:27:05,160
Speaker 5: his name right now.

601
00:27:05,720 --> 00:27:08,400
Speaker 2: I think so it's either that or Lisa Colone Reyis.

602
00:27:10,560 --> 00:27:11,600
Speaker 3: They were dancing again.

603
00:27:11,720 --> 00:27:15,000
Speaker 5: Yeah, my mouth dropped and I was just like, he's real.

604
00:27:14,920 --> 00:27:18,199
Speaker 1: Like, you know, it was exciting so that he was

605
00:27:18,240 --> 00:27:20,920
Speaker 1: so cute because adorable, he's so cute.

606
00:27:21,000 --> 00:27:23,720
Speaker 2: My god g and Carlos Bosito showed up and like.

607
00:27:24,119 --> 00:27:26,960
Speaker 5: I'm not kidding, he's like, I'm breaking bad and he

608
00:27:27,040 --> 00:27:28,200
Speaker 5: was gonna do the right thing.

609
00:27:29,400 --> 00:27:30,879
Speaker 4: As one of the villain presenters.

610
00:27:31,000 --> 00:27:33,560
Speaker 5: Okay, but he had this hat on that was like

611
00:27:33,760 --> 00:27:36,640
Speaker 5: so crisp. Like the only people I've ever seen wear

612
00:27:36,640 --> 00:27:39,360
Speaker 5: a hat like this are like Cowboy Carter and then

613
00:27:39,440 --> 00:27:43,159
Speaker 5: like Lady Gaga and the Joeanne period, and it was

614
00:27:43,200 --> 00:27:46,560
Speaker 5: like so fucking crisp. I'm like, oh my god, you're

615
00:27:46,640 --> 00:27:49,040
Speaker 5: so cool. I could never pull off a hat like that.

616
00:27:49,240 --> 00:27:49,560
Speaker 7: You can.

617
00:27:50,280 --> 00:27:52,360
Speaker 5: I don't think I could. I think everyone would like

618
00:27:52,680 --> 00:27:54,359
Speaker 5: call me like broke Back Mountain or something.

619
00:27:55,119 --> 00:27:58,320
Speaker 1: My mom was actually commenting on your red carpet posing

620
00:27:58,720 --> 00:28:01,200
Speaker 1: and said, Sean, yeah, I has got it down.

621
00:28:01,320 --> 00:28:03,600
Speaker 3: He knows how to take a picture.

622
00:28:03,880 --> 00:28:04,760
Speaker 2: I'm a buffoon.

623
00:28:05,000 --> 00:28:06,920
Speaker 1: How did you learn that style? You kind of lean

624
00:28:07,119 --> 00:28:09,080
Speaker 1: for you like do a lean that makes you look

625
00:28:09,119 --> 00:28:11,760
Speaker 1: like it looks really yeah, really cool in these pictures.

626
00:28:11,880 --> 00:28:12,840
Speaker 2: So this is what I did.

627
00:28:13,080 --> 00:28:18,200
Speaker 5: I studied Jennifer Lopez at the Oscars in nineteen ninety nine,

628
00:28:18,640 --> 00:28:19,760
Speaker 5: and I just do that.

629
00:28:19,840 --> 00:28:22,879
Speaker 2: And I know, with my big fat body.

630
00:28:22,240 --> 00:28:23,359
Speaker 1: Look how coy looks.

631
00:28:24,080 --> 00:28:24,600
Speaker 4: Wow.

632
00:28:24,760 --> 00:28:25,879
Speaker 1: Right, that's a good style.

633
00:28:26,000 --> 00:28:27,080
Speaker 2: Yeah, I said that to me.

634
00:28:27,480 --> 00:28:30,119
Speaker 1: Yeah, I'll send all these, Yeah, you're gonna get all these.

635
00:28:30,160 --> 00:28:35,439
Speaker 1: I haven't posted that's from the HBO party. Emily, my

636
00:28:36,359 --> 00:28:38,040
Speaker 1: social media girl who was on the podcast last week,

637
00:28:38,080 --> 00:28:40,000
Speaker 1: said that because I was like, I woke up at

638
00:28:40,040 --> 00:28:42,880
Speaker 1: ten today and I when we went to breakfast, and

639
00:28:42,920 --> 00:28:44,600
Speaker 1: I was like, it just takes so long to make

640
00:28:44,600 --> 00:28:46,280
Speaker 1: a post. You have to pick out the photos, then

641
00:28:46,320 --> 00:28:48,760
Speaker 1: you have to format the photos so that your feet

642
00:28:48,800 --> 00:28:51,480
Speaker 1: aren't cut off, and eats, and then it's and now

643
00:28:51,520 --> 00:28:53,440
Speaker 1: she told me to download this other app that makes

644
00:28:53,440 --> 00:28:55,720
Speaker 1: everything look like nice and when you slide a photo,

645
00:28:55,760 --> 00:28:57,680
Speaker 1: it like leads to the next photo. You know, like

646
00:28:58,280 --> 00:29:01,120
Speaker 1: just there's so much to do and to pick it

647
00:29:01,120 --> 00:29:02,440
Speaker 1: all out and then to come up with a cool

648
00:29:02,480 --> 00:29:05,080
Speaker 1: caption that's not trying too hard. It's like it just

649
00:29:05,200 --> 00:29:07,600
Speaker 1: takes about an hour and a half of my time,

650
00:29:07,720 --> 00:29:10,480
Speaker 1: and that's with minimal effort. I'm not I'm not joking you.

651
00:29:10,520 --> 00:29:13,000
Speaker 1: I don't really try that hard, but like just to

652
00:29:13,040 --> 00:29:15,240
Speaker 1: crop them all and then like remember which ones you cropped.

653
00:29:15,240 --> 00:29:17,040
Speaker 1: It's like so much time. Didn't have time for it

654
00:29:17,040 --> 00:29:19,720
Speaker 1: today and everyone's already posted their Emmy's dumps. Like I

655
00:29:19,760 --> 00:29:21,960
Speaker 1: woke up to like like last night even I'm like,

656
00:29:21,960 --> 00:29:23,880
Speaker 1: oh god, how did all these people do it? So fast.

657
00:29:23,960 --> 00:29:25,640
Speaker 4: They do it at the parties while they're sitting there.

658
00:29:25,680 --> 00:29:28,520
Speaker 1: Bor I think they do, but instead I'm singing Pink

659
00:29:28,560 --> 00:29:30,240
Speaker 1: Pony Club with Sean o'cahor.

660
00:29:31,480 --> 00:29:32,000
Speaker 4: In the moment.

661
00:29:32,200 --> 00:29:34,840
Speaker 1: Yeah, and so it was so fun. But Emily told me,

662
00:29:34,920 --> 00:29:36,440
Speaker 1: she was like, the best time to post is six

663
00:29:36,520 --> 00:29:38,400
Speaker 1: pm your time. So she was like, bost people are

664
00:29:38,440 --> 00:29:42,600
Speaker 1: scrolling at six pm interesting Pacific, nine pm Eastern. So

665
00:29:42,640 --> 00:29:45,720
Speaker 1: anyone out there who wants to optimize their posting, that's

666
00:29:45,760 --> 00:29:51,920
Speaker 1: the until I got today, it's like like nine pm Eastern,

667
00:29:52,080 --> 00:29:54,680
Speaker 1: six pm Pacific is like best time to post because

668
00:29:54,680 --> 00:29:57,240
Speaker 1: that's when everyone starts a scrolling because they're off work.

669
00:29:57,320 --> 00:29:59,640
Speaker 1: They're kind of changed out of their work clothes, kind

670
00:29:59,680 --> 00:30:02,520
Speaker 1: of be walking lazily on a treadmill if they are

671
00:30:02,560 --> 00:30:03,080
Speaker 1: at the gym.

672
00:30:03,400 --> 00:30:06,920
Speaker 5: Venmo Emily for that information, that is like, it's so cruise.

673
00:30:07,040 --> 00:30:08,360
Speaker 5: That is incredible.

674
00:30:08,520 --> 00:30:11,640
Speaker 1: Yeah, she's six pm PSD.

675
00:30:11,920 --> 00:30:15,840
Speaker 3: Well, why doesn't she do all that uh cutting of

676
00:30:15,920 --> 00:30:16,360
Speaker 3: the picture?

677
00:30:16,520 --> 00:30:18,840
Speaker 1: She will. I'm gonna we're gonna try to make this.

678
00:30:19,000 --> 00:30:20,880
Speaker 3: I mean, you just send her pictures.

679
00:30:20,920 --> 00:30:22,920
Speaker 1: I think I'm gonna try to do that. But I

680
00:30:22,960 --> 00:30:26,440
Speaker 1: also still want some kind of control because sometimes I

681
00:30:26,520 --> 00:30:29,280
Speaker 1: want this photo before this one. It's just you know, you.

682
00:30:29,280 --> 00:30:31,280
Speaker 4: Gotta let go of control, that's the problem.

683
00:30:31,520 --> 00:30:34,480
Speaker 1: But then if you do, but then then your I

684
00:30:34,520 --> 00:30:36,880
Speaker 1: don't know. I've sensed when people on fans of like

685
00:30:36,920 --> 00:30:39,920
Speaker 1: go control and then their Instagram just slightly has a

686
00:30:39,920 --> 00:30:43,120
Speaker 1: different tone and vibe that's just is a little bit off,

687
00:30:43,120 --> 00:30:45,000
Speaker 1: and you're like, I just feel like they aren't a

688
00:30:45,040 --> 00:30:47,760
Speaker 1: part of this anymore, and I don't want to that entirely.

689
00:30:48,080 --> 00:30:51,160
Speaker 2: Yeah, like Tomald Trump on truth soci Wow.

690
00:30:51,160 --> 00:30:53,520
Speaker 4: I was just thinking that I was gonna make the

691
00:30:53,600 --> 00:30:55,920
Speaker 4: same that's crazy.

692
00:30:55,960 --> 00:30:56,960
Speaker 2: He's got off the rails.

693
00:30:58,440 --> 00:31:00,400
Speaker 1: That was my favorite moment of the weekend. I think

694
00:31:00,560 --> 00:31:02,800
Speaker 1: was waking up to what I thought was a fake

695
00:31:02,920 --> 00:31:06,760
Speaker 1: tweet that someone just made and was meming, and then

696
00:31:06,840 --> 00:31:08,600
Speaker 1: someone sent it to me. Then I was getting so

697
00:31:08,640 --> 00:31:12,400
Speaker 1: many d ms from Bestie's saying like did you see this?

698
00:31:12,520 --> 00:31:14,440
Speaker 1: And then someone all it takes for me to believe

699
00:31:14,440 --> 00:31:17,160
Speaker 1: something is to someone this is real, like like immediately,

700
00:31:17,200 --> 00:31:20,800
Speaker 1: you know, like that for some reason we trust that

701
00:31:20,840 --> 00:31:24,360
Speaker 1: when someone just goes this is real. The Internet, honestly,

702
00:31:24,360 --> 00:31:28,360
Speaker 1: it's no there's no authority, there's no but someone's saying

703
00:31:28,360 --> 00:31:31,040
Speaker 1: that makes it real to me, and it was real.

704
00:31:31,360 --> 00:31:32,200
Speaker 4: Apparently it is.

705
00:31:34,320 --> 00:31:34,920
Speaker 2: The news outlet.

706
00:31:34,960 --> 00:31:38,800
Speaker 1: It's so funny. I was laughing. I couldn't stop laughing

707
00:31:38,880 --> 00:31:39,280
Speaker 1: and saying it.

708
00:31:39,440 --> 00:31:42,000
Speaker 5: The idea of a guy running for president waking up

709
00:31:42,000 --> 00:31:44,040
Speaker 5: on a Sunday morning and the first thing he like

710
00:31:44,160 --> 00:31:47,080
Speaker 5: says to the world is I daylor left is so funny.

711
00:31:47,280 --> 00:31:49,880
Speaker 4: Yeah, I mean, it's it's a stark reminder that that's

712
00:31:49,920 --> 00:31:52,520
Speaker 4: what him being president was like. It was like every

713
00:31:52,560 --> 00:31:54,680
Speaker 4: day we'd wake up and there'd be a crazy tweet.

714
00:31:54,760 --> 00:31:57,800
Speaker 1: That's right, it's not surprising, but it's just like, I

715
00:31:57,840 --> 00:32:02,000
Speaker 1: can't believe. I'm sure he like because they must he

716
00:32:02,080 --> 00:32:03,600
Speaker 1: must be like, I'm going to tweet about it, and

717
00:32:03,760 --> 00:32:07,000
Speaker 1: they because since the endorsement, he's probably wanted to tweet that, right.

718
00:32:07,160 --> 00:32:07,840
Speaker 2: Oh my god.

719
00:32:08,640 --> 00:32:11,120
Speaker 4: Yeah, that's why I was in all caps that if

720
00:32:11,160 --> 00:32:13,400
Speaker 4: he was able to tweet it immediately, it would have

721
00:32:13,440 --> 00:32:16,640
Speaker 4: been in lowercase because it's been bubbling up inside of her.

722
00:32:17,920 --> 00:32:19,160
Speaker 1: I have to go to the bathroom just I just

723
00:32:19,200 --> 00:32:22,560
Speaker 1: want to go. I just want to look at look

724
00:32:22,600 --> 00:32:26,560
Speaker 1: at some documents. Well you don't read. And so he

725
00:32:26,640 --> 00:32:28,920
Speaker 1: went in there and they go, no, they're banging on

726
00:32:28,960 --> 00:32:33,000
Speaker 1: the door. Don I was surprised it was only one

727
00:32:33,040 --> 00:32:34,200
Speaker 1: exclamation point, to be honest with.

728
00:32:34,360 --> 00:32:36,640
Speaker 2: Yeah, he's that. I mean, he's a messy bitch. It

729
00:32:36,680 --> 00:32:37,920
Speaker 2: should be at least five.

730
00:32:37,960 --> 00:32:40,000
Speaker 4: It almost gets a little bit more of an impact

731
00:32:40,000 --> 00:32:41,160
Speaker 4: with one exclamation point.

732
00:32:41,280 --> 00:32:44,080
Speaker 6: It's what he was half half in his right mind,

733
00:32:44,200 --> 00:32:44,920
Speaker 6: Yes exactly.

734
00:32:44,960 --> 00:32:45,640
Speaker 2: It wasn't just.

735
00:32:47,880 --> 00:32:50,040
Speaker 1: Nervous for Taylor. I really don't appreciate it.

736
00:32:50,280 --> 00:32:51,760
Speaker 3: Yeah, it's not good for her.

737
00:32:51,880 --> 00:32:54,320
Speaker 1: It's not good for her, but it's so it was

738
00:32:54,520 --> 00:32:56,800
Speaker 1: at first it was very funny to me because it's

739
00:32:56,840 --> 00:32:59,840
Speaker 1: just such a dumb move on his part, because all

740
00:33:00,400 --> 00:33:03,480
Speaker 1: with the Kamala endorsement, like Swifties are going to vote

741
00:33:03,520 --> 00:33:06,600
Speaker 1: for Kamala because she told us to, not that that's

742
00:33:06,680 --> 00:33:10,280
Speaker 1: why I am. But some are. They are so like

743
00:33:10,400 --> 00:33:14,560
Speaker 1: whatever our leader says, will do. But now like any

744
00:33:14,600 --> 00:33:16,920
Speaker 1: that were like maybe I'm on the fence, like you

745
00:33:17,000 --> 00:33:20,240
Speaker 1: anyone who likes Trump that's a swiftye Like sorry, Taylor

746
00:33:20,280 --> 00:33:23,040
Speaker 1: comes first, you cannot say And Taylor didn't say I

747
00:33:23,080 --> 00:33:31,560
Speaker 1: hate Donald Trump, right, like.

748
00:33:29,120 --> 00:33:32,920
Speaker 2: Uh, reasons why she was voting for Kamala and it's yeah.

749
00:33:33,400 --> 00:33:35,880
Speaker 1: Chris pointed out that like him saying he could shoot someone,

750
00:33:35,880 --> 00:33:38,720
Speaker 1: in the middle of you know, Madison Avenue or whatever

751
00:33:38,720 --> 00:33:42,600
Speaker 1: he said and Taylor and that he wouldn't no one

752
00:33:42,600 --> 00:33:44,240
Speaker 1: would do anything like that, didn't offend anyone.

753
00:33:44,320 --> 00:33:45,280
Speaker 4: But this is the thing.

754
00:33:47,120 --> 00:33:47,960
Speaker 1: You don't get to hate.

755
00:33:48,840 --> 00:33:49,960
Speaker 2: You've lost your mind now.

756
00:33:52,640 --> 00:33:55,320
Speaker 1: It was so it's it made me happy because it

757
00:33:55,440 --> 00:33:58,920
Speaker 1: just as shows. Whenever he gets like that, you just

758
00:33:59,040 --> 00:34:02,000
Speaker 1: know he's not having good news come from his.

759
00:34:01,960 --> 00:34:05,280
Speaker 4: Intel was bad. Yeah, yeah, that's what happened that.

760
00:34:05,400 --> 00:34:06,480
Speaker 2: Yeah, we know things.

761
00:34:06,680 --> 00:34:10,200
Speaker 4: Still a toss up race, it's still forty eight percent.

762
00:34:10,280 --> 00:34:12,680
Speaker 4: But how is that positive?

763
00:34:13,320 --> 00:34:18,919
Speaker 1: And with Laura's this Lumar chick, is he allowed to

764
00:34:18,920 --> 00:34:25,120
Speaker 1: tote around this bigoted uh conspiracy theorist uh nine to

765
00:34:25,160 --> 00:34:27,320
Speaker 1: eleven truth or bring her to a nine to eleven memorial?

766
00:34:27,400 --> 00:34:30,239
Speaker 1: How is that okay? She's one of who said that

767
00:34:30,320 --> 00:34:32,200
Speaker 1: the White House is gonna smell like Curry?

768
00:34:32,480 --> 00:34:32,680
Speaker 2: Yeah?

769
00:34:32,800 --> 00:34:34,520
Speaker 1: How is that okay? That he could even be in

770
00:34:34,560 --> 00:34:37,759
Speaker 1: the same room as her And it's not like like

771
00:34:38,680 --> 00:34:39,360
Speaker 1: leading news.

772
00:34:39,880 --> 00:34:43,080
Speaker 5: She's been like a proud white nationalist for like seven years.

773
00:34:43,239 --> 00:34:46,040
Speaker 1: And wrapping his arm around her like she's the first lady?

774
00:34:46,520 --> 00:34:50,160
Speaker 2: Is that man from Uber from Uber?

775
00:34:50,360 --> 00:34:54,240
Speaker 5: No, you don't know race, do you know how racist

776
00:34:54,280 --> 00:34:57,279
Speaker 5: you have to be to get bedroom uber well.

777
00:34:57,400 --> 00:35:01,840
Speaker 4: Undecided voters simply haven't learned enough of back Kamala's economic policies.

778
00:35:01,920 --> 00:35:04,040
Speaker 4: They really want to dig into the detail before they

779
00:35:04,040 --> 00:35:04,800
Speaker 4: make a firm decision.

780
00:35:04,880 --> 00:35:08,640
Speaker 1: Undecided voters, you like Trump and you just are just you.

781
00:35:08,640 --> 00:35:11,279
Speaker 1: You like the attention you get from being like I

782
00:35:11,280 --> 00:35:13,279
Speaker 1: don't know, because you feel important. You know, this is

783
00:35:13,320 --> 00:35:15,120
Speaker 1: the only time in your lives that anyone gives a

784
00:35:15,120 --> 00:35:17,879
Speaker 1: fuck about you. And so because you're an undecided voter,

785
00:35:17,920 --> 00:35:20,400
Speaker 1: it gives you identity. It makes you feel important, It

786
00:35:20,440 --> 00:35:23,520
Speaker 1: makes you feel like the fate of the nation lays

787
00:35:23,560 --> 00:35:25,520
Speaker 1: lies in your hands, which it does. So maybe, yeah,

788
00:35:25,600 --> 00:35:28,239
Speaker 1: take it. You're important, but you're not. You're using this

789
00:35:28,280 --> 00:35:30,320
Speaker 1: because you have nothing else going on in your personality.

790
00:35:30,360 --> 00:35:33,920
Speaker 1: That's actually interesting. How are you fucking undecided? It's it's

791
00:35:33,960 --> 00:35:37,520
Speaker 1: such a it's it's so why we're even asking these people.

792
00:35:37,680 --> 00:35:39,880
Speaker 1: It literally reminds me when they do in the Onion

793
00:35:40,040 --> 00:35:41,880
Speaker 1: and they interview the people on the street and the

794
00:35:41,880 --> 00:35:44,040
Speaker 1: Onion that are the same people every time that say

795
00:35:44,040 --> 00:35:48,000
Speaker 1: the most inane That's what undecided voters. I don't care

796
00:35:48,040 --> 00:35:50,040
Speaker 1: what they're saying anymore. I don't want to hear it.

797
00:35:50,280 --> 00:35:52,879
Speaker 1: I don't even know the like, and they never give in.

798
00:35:53,520 --> 00:35:56,880
Speaker 1: You go they go after the after the debate, undecided voters,

799
00:35:56,880 --> 00:35:59,759
Speaker 1: they go through nine of them, three have maybe made

800
00:35:59,800 --> 00:36:02,719
Speaker 1: their decision, but they're all still undecided because they have

801
00:36:02,760 --> 00:36:04,399
Speaker 1: to hold on to that because it's their only thing

802
00:36:04,480 --> 00:36:05,279
Speaker 1: interesting about them.

803
00:36:05,360 --> 00:36:07,200
Speaker 4: Yeah, or they just say what they were going to

804
00:36:07,239 --> 00:36:09,200
Speaker 4: say before the debate even happened.

805
00:36:10,080 --> 00:36:12,759
Speaker 5: But it is wild because undecided voters are still like

806
00:36:12,840 --> 00:36:15,799
Speaker 5: being pulled in late October, which means that they are

807
00:36:15,880 --> 00:36:19,320
Speaker 5: making the decision when they get in the boot. It's

808
00:36:19,360 --> 00:36:22,800
Speaker 5: just like, honestly, like I I knew I was voting

809
00:36:22,800 --> 00:36:25,799
Speaker 5: for I like, I don't even like love Kamala, but

810
00:36:25,840 --> 00:36:28,239
Speaker 5: I'm like, I'm all in, I'm gonna vote for her.

811
00:36:29,320 --> 00:36:30,880
Speaker 1: I would hate to go to dinner with these people,

812
00:36:31,880 --> 00:36:34,040
Speaker 1: like they would need to hear about everything on the menu.

813
00:36:34,280 --> 00:36:36,160
Speaker 4: I don't know it was the chicken. Well, the chicken

814
00:36:36,200 --> 00:36:41,120
Speaker 4: comes with a side of naziscy, you know, but I

815
00:36:41,120 --> 00:36:46,239
Speaker 4: don't know if the fish has any uh his policy

816
00:36:46,280 --> 00:36:52,279
Speaker 4: on tracking. I love John Stewart's he made a great joke.

817
00:36:53,200 --> 00:36:54,839
Speaker 4: It's a kind of a nuanced joke. So I won't

818
00:36:54,840 --> 00:36:57,000
Speaker 4: play by me just repeating it, but he made the

819
00:36:57,040 --> 00:36:59,440
Speaker 4: point that, like it feels like if you're in a

820
00:36:59,480 --> 00:37:04,240
Speaker 4: state that's on a swing state, as in Nevada, Arizona, Georgia,

821
00:37:04,400 --> 00:37:08,799
Speaker 4: North Carolina, Pennsylvania, then it's like you're not even part

822
00:37:08,880 --> 00:37:11,480
Speaker 4: of this country voting. It's like you don't even get

823
00:37:11,480 --> 00:37:13,960
Speaker 4: It's like you're watching another country. It's like, I hope

824
00:37:13,960 --> 00:37:17,480
Speaker 4: the people of Georgia decide a good president. You're right, yeah,

825
00:37:17,560 --> 00:37:20,600
Speaker 4: It's like it just painted a picture of how stupid

826
00:37:20,640 --> 00:37:24,080
Speaker 4: the electoral college is and how it disenfranchises basically like

827
00:37:24,080 --> 00:37:26,160
Speaker 4: eighty five percent of the American populace.

828
00:37:26,280 --> 00:37:30,759
Speaker 5: Yeah right, yes, it's it sucks so much to think that,

829
00:37:30,920 --> 00:37:34,120
Speaker 5: like are like, like our vote does matter.

830
00:37:34,280 --> 00:37:35,880
Speaker 2: It doesn't matter, Like it does not matter.

831
00:37:36,000 --> 00:37:38,879
Speaker 5: Yeah, Like what is it like fifteen percent of all

832
00:37:39,000 --> 00:37:41,359
Speaker 5: people in America live in California or some more than that.

833
00:37:41,840 --> 00:37:43,840
Speaker 5: I don't know, but that sounds right that yeah, and

834
00:37:43,880 --> 00:37:46,120
Speaker 5: their vote means less like.

835
00:37:46,480 --> 00:37:49,720
Speaker 4: Yeah no, oh oh yeah, well compared to like North Dakota,

836
00:37:49,840 --> 00:37:52,560
Speaker 4: it's like someone's vote in the electoral college in North

837
00:37:52,600 --> 00:37:56,239
Speaker 4: Dakota is something like sixty is worth sixty votes to

838
00:37:56,320 --> 00:37:59,359
Speaker 4: one to California's vote. Does that make sense?

839
00:37:59,400 --> 00:38:01,560
Speaker 3: I said that weird doesn't make any sense, is what?

840
00:38:01,800 --> 00:38:04,360
Speaker 4: Well, yeah, it's the same with the Senate. The Senate,

841
00:38:04,400 --> 00:38:09,080
Speaker 4: every state gets two senators despite the population, Like.

842
00:38:09,200 --> 00:38:15,200
Speaker 5: All two people who live in Wyoming get to be senators.

843
00:38:16,000 --> 00:38:18,680
Speaker 1: It's a it's a nightmare, and the electoral college will

844
00:38:18,719 --> 00:38:21,560
Speaker 1: never be Well, they're not going to overturn that or

845
00:38:21,560 --> 00:38:23,200
Speaker 1: try to amend that because.

846
00:38:23,000 --> 00:38:25,920
Speaker 4: Well, the one thing that could really change that desire

847
00:38:26,280 --> 00:38:30,040
Speaker 4: is if Texas, which has been wavering on like forty

848
00:38:30,120 --> 00:38:33,760
Speaker 4: six percent blue, if Texas ever went blue, it would

849
00:38:33,800 --> 00:38:36,920
Speaker 4: mean that only Democrats would get elected for from now

850
00:38:37,000 --> 00:38:39,360
Speaker 4: until the remainder of time. And so at that point

851
00:38:39,400 --> 00:38:42,520
Speaker 4: there might be a poll from both sides to but

852
00:38:42,680 --> 00:38:44,120
Speaker 4: until that day, yeah.

853
00:38:44,160 --> 00:38:47,440
Speaker 1: Until it doesn't favor Republicans, yes, it's not going or

854
00:38:47,560 --> 00:38:47,960
Speaker 1: until it.

855
00:38:47,960 --> 00:38:49,759
Speaker 4: Yeah, but there's I can see in the future at

856
00:38:49,760 --> 00:38:52,719
Speaker 4: some point Texas could If Texas ever went blue, it

857
00:38:52,719 --> 00:38:55,360
Speaker 4: would be like it would up ender political Do you see.

858
00:38:55,200 --> 00:38:57,759
Speaker 1: That someone did a piece about who was it? God

859
00:38:57,800 --> 00:39:01,360
Speaker 1: damn it. It was about oh is Bill maher his

860
00:39:01,560 --> 00:39:03,920
Speaker 1: like you know, final thought the other night was about

861
00:39:03,920 --> 00:39:07,160
Speaker 1: how we have this transition like the time between someone

862
00:39:07,200 --> 00:39:09,920
Speaker 1: is elected and they actually take office is ours is

863
00:39:09,960 --> 00:39:12,040
Speaker 1: longer than almost any other countries. And he's just going

864
00:39:12,080 --> 00:39:14,480
Speaker 1: through all the countries that it's like four days a week,

865
00:39:14,880 --> 00:39:19,000
Speaker 1: two days overnight. Because that it used to be like

866
00:39:19,040 --> 00:39:22,760
Speaker 1: you had to get William Taft in a stage coach

867
00:39:22,840 --> 00:39:25,920
Speaker 1: and like drive him from Ohio or whatever to DC

868
00:39:26,200 --> 00:39:29,000
Speaker 1: and it would need to take it would take a while. Yeah,

869
00:39:29,000 --> 00:39:31,319
Speaker 1: but that that time like we don't need it, Like

870
00:39:31,440 --> 00:39:33,600
Speaker 1: when you get fired from a job, they're not like, no,

871
00:39:33,760 --> 00:39:35,440
Speaker 1: just hang around for two months.

872
00:39:35,680 --> 00:39:36,560
Speaker 4: Yeah, exactly.

873
00:39:36,600 --> 00:39:39,120
Speaker 1: So I think that that was like an interesting point

874
00:39:39,120 --> 00:39:41,320
Speaker 1: that so much can go wrong in that time period

875
00:39:41,360 --> 00:39:41,719
Speaker 1: as we.

876
00:39:41,719 --> 00:39:45,959
Speaker 4: Saw, you know, wow, yeah, absolutely, yeah, I mean there's

877
00:39:46,120 --> 00:39:48,239
Speaker 4: there is like it takes a long time for them

878
00:39:48,280 --> 00:39:51,160
Speaker 4: to count the votes, so like we didn't know for

879
00:39:51,160 --> 00:39:53,439
Speaker 4: like two weeks who won last time. So I think

880
00:39:53,480 --> 00:39:56,239
Speaker 4: by December first you should probably and they have to like

881
00:39:56,440 --> 00:39:59,480
Speaker 4: officially count the votes and the vice president has to

882
00:39:59,480 --> 00:40:02,040
Speaker 4: say like it's a official yeah that, but like does

883
00:40:02,080 --> 00:40:03,800
Speaker 4: that really take three months?

884
00:40:03,880 --> 00:40:06,200
Speaker 1: Oh my god. I'll tell you a conversation I got

885
00:40:06,200 --> 00:40:09,640
Speaker 1: in at an Emmy party over the weekend that made

886
00:40:09,680 --> 00:40:15,279
Speaker 1: me kind of scared. But also hopeful after this we

887
00:40:15,239 --> 00:40:17,600
Speaker 1: were back so on. I've been going to Emmy's parties

888
00:40:17,600 --> 00:40:21,920
Speaker 1: all weekend. It was started Friday night, then Saturday there

889
00:40:21,960 --> 00:40:24,319
Speaker 1: was a brunch. Saturday night there's parties, and then last

890
00:40:24,400 --> 00:40:26,600
Speaker 1: night there's parties on Sunday night and then but on

891
00:40:27,040 --> 00:40:30,880
Speaker 1: Friday night, Chris and I went to the Hollywood Reporter Party,

892
00:40:31,719 --> 00:40:34,320
Speaker 1: this really nice house that I think is just used

893
00:40:34,320 --> 00:40:37,200
Speaker 1: for like parties. One of the nicest houses I've ever

894
00:40:37,320 --> 00:40:43,880
Speaker 1: stepped foot in in the Hollywood Hills. Beautiful, just indoor outdoor,

895
00:40:43,960 --> 00:40:47,839
Speaker 1: a pool with like the floating Hollywood Reporter logo, and

896
00:40:48,400 --> 00:40:51,000
Speaker 1: like just a big buffet of food. It was just

897
00:40:51,000 --> 00:40:52,759
Speaker 1: like lovely. And then I did it was kind of

898
00:40:52,840 --> 00:40:54,680
Speaker 1: like not that many people there was like kind of

899
00:40:54,680 --> 00:40:58,759
Speaker 1: a chill invite. How many probably like one hundred over

900
00:40:58,920 --> 00:41:00,080
Speaker 1: like a huge.

901
00:41:00,120 --> 00:41:01,920
Speaker 4: And out of one hundred people, how many are like

902
00:41:02,040 --> 00:41:03,560
Speaker 4: recognizable faces?

903
00:41:03,600 --> 00:41:03,880
Speaker 3: Five?

904
00:41:04,320 --> 00:41:09,239
Speaker 1: Five, six, okay, seven eight, not like five twelve but

905
00:41:09,680 --> 00:41:11,879
Speaker 1: to someone who watches a ton of TV, which will

906
00:41:11,920 --> 00:41:15,520
Speaker 1: be me by the time I'm doing the Golden Globes more.

907
00:41:15,800 --> 00:41:18,319
Speaker 4: Yeah, okay, okay, So it's mostly stars that are at

908
00:41:18,320 --> 00:41:21,520
Speaker 4: this thing, No, mostly producer types.

909
00:41:21,719 --> 00:41:25,399
Speaker 1: Producer types agents, like people from City Bank, Like I mean,

910
00:41:25,440 --> 00:41:28,160
Speaker 1: like Hollywood is so tied up with like banking and

911
00:41:28,280 --> 00:41:30,520
Speaker 1: different investors.

912
00:41:30,760 --> 00:41:33,080
Speaker 4: So when you walk into a party like this, who

913
00:41:33,080 --> 00:41:34,520
Speaker 4: are the the who comes up to you?

914
00:41:36,719 --> 00:41:39,160
Speaker 1: A lot of people's plus ones who are just fans,

915
00:41:39,680 --> 00:41:41,880
Speaker 1: which is sweet. I like that, Like just a lot

916
00:41:41,920 --> 00:41:43,279
Speaker 1: of people that I might like. They're like, I go

917
00:41:43,440 --> 00:41:44,640
Speaker 1: and why are you here? And they're like, oh, I'm

918
00:41:44,680 --> 00:41:47,400
Speaker 1: just here with my friend who was nominated for camera

919
00:41:47,440 --> 00:41:49,360
Speaker 1: work on something, so like friends of people that I

920
00:41:49,400 --> 00:41:53,160
Speaker 1: wouldn't even know anyway. But and then like, but I

921
00:41:53,239 --> 00:41:56,280
Speaker 1: met Zachary quinto Oh Spot.

922
00:41:56,440 --> 00:41:59,319
Speaker 4: He's got that new show coming out which I forgot about.

923
00:41:59,400 --> 00:41:59,960
Speaker 1: I forgot about.

924
00:42:00,000 --> 00:42:00,799
Speaker 4: I've seen him and he.

925
00:42:00,680 --> 00:42:03,440
Speaker 2: Plays a doctor that can see the future or something.

926
00:42:03,480 --> 00:42:05,799
Speaker 1: I think that's what he was playing at the party too,

927
00:42:06,000 --> 00:42:11,400
Speaker 1: because he was like I I met it. He's like

928
00:42:11,520 --> 00:42:13,919
Speaker 1: a stunning man. I was immediately like, oh my god,

929
00:42:13,960 --> 00:42:15,839
Speaker 1: I know you, and I like you. I really haven't

930
00:42:15,840 --> 00:42:18,880
Speaker 1: seen his work because I didn't see Star Trek Star Trek, Yes,

931
00:42:19,280 --> 00:42:24,000
Speaker 1: And but I knew of him and he was there

932
00:42:24,520 --> 00:42:27,080
Speaker 1: and he knew me, and so we kind of like

933
00:42:27,280 --> 00:42:29,279
Speaker 1: were introduced and then we just kept talking and he

934
00:42:29,400 --> 00:42:32,759
Speaker 1: was telling me about how there is going to be

935
00:42:33,320 --> 00:42:35,680
Speaker 1: He was like he was talking in a way that

936
00:42:35,760 --> 00:42:38,000
Speaker 1: like I couldn't really grasp. I was like, have you

937
00:42:38,200 --> 00:42:41,680
Speaker 1: just come from an ayahuasca ceremony? He was like, there's

938
00:42:41,719 --> 00:42:44,839
Speaker 1: a global consciousness. This is about consciousness. There's about he goes,

939
00:42:44,880 --> 00:42:47,040
Speaker 1: it doesn't matter who wins, there's going to be a reckoning.

940
00:42:47,040 --> 00:42:48,680
Speaker 1: There's going to be a change. He was like, I

941
00:42:48,760 --> 00:42:53,080
Speaker 1: was at the debate and he's he what's it called.

942
00:42:53,440 --> 00:42:55,880
Speaker 1: He was like, he did a lot of work with

943
00:42:55,920 --> 00:42:59,840
Speaker 1: Obama both terms, and then he was done stuff with

944
00:43:00,440 --> 00:43:02,120
Speaker 1: But he said there was a shift for him at

945
00:43:02,120 --> 00:43:04,319
Speaker 1: the debate where he like realized.

946
00:43:04,400 --> 00:43:06,360
Speaker 3: That he couldn't have been at that.

947
00:43:07,280 --> 00:43:08,400
Speaker 1: He's totally still Kamala.

948
00:43:08,480 --> 00:43:09,640
Speaker 3: But how was he at the debate?

949
00:43:09,920 --> 00:43:12,080
Speaker 1: I'm sorry he was watching the debate. You're right, sorry,

950
00:43:12,239 --> 00:43:13,360
Speaker 1: he was watching the debate.

951
00:43:14,280 --> 00:43:15,439
Speaker 2: He was playing David.

952
00:43:18,800 --> 00:43:23,239
Speaker 1: Yeah, and he said that I don't remember exactly, but

953
00:43:23,239 --> 00:43:27,239
Speaker 1: he's like it's He's like, you know, something's there's going

954
00:43:27,320 --> 00:43:32,359
Speaker 1: to be some things that like civilization is kind of

955
00:43:32,600 --> 00:43:36,240
Speaker 1: coming to a shift. There's going to be a massive shift.

956
00:43:36,680 --> 00:43:38,960
Speaker 1: He's predicting and like he's saying this with these like

957
00:43:39,160 --> 00:43:43,800
Speaker 1: the Spock energy and he's like it's He's like, it's okay,

958
00:43:43,840 --> 00:43:46,400
Speaker 1: Everything's gonna be okay, but you need He said a

959
00:43:46,440 --> 00:43:48,800
Speaker 1: lot of stuff, but and I was like very much focused,

960
00:43:48,840 --> 00:43:51,960
Speaker 1: like trying to like internalize it because it was like

961
00:43:52,160 --> 00:43:55,359
Speaker 1: so it was intense. But he got through and he goes,

962
00:43:55,360 --> 00:43:57,000
Speaker 1: all I have to say to you, He goes, do

963
00:43:57,040 --> 00:44:00,000
Speaker 1: you meditate? And I go sometimes he was like start meditating.

964
00:44:00,239 --> 00:44:01,960
Speaker 1: He's like it's the only thing. He was like, get

965
00:44:02,000 --> 00:44:04,640
Speaker 1: every person you know and love, tell them they need

966
00:44:04,680 --> 00:44:07,719
Speaker 1: to meditate. It's time. Think things are about to get

967
00:44:07,840 --> 00:44:11,600
Speaker 1: really crazy. Like he what are you doing that face for?

968
00:44:11,719 --> 00:44:13,719
Speaker 1: I mean, I'm not selling what he was saying because

969
00:44:13,719 --> 00:44:16,799
Speaker 1: it was using too big of words and I just now, am,

970
00:44:17,080 --> 00:44:19,040
Speaker 1: you know, getting back on the elevate app And so

971
00:44:19,239 --> 00:44:21,480
Speaker 1: I'm not able to really understand what he was saying.

972
00:44:21,520 --> 00:44:24,839
Speaker 1: But but he was just like, you need to start

973
00:44:24,880 --> 00:44:26,960
Speaker 1: meditating again. And I was like I needed this, like

974
00:44:27,040 --> 00:44:30,200
Speaker 1: I needed to hear this. Like he was like, what

975
00:44:30,280 --> 00:44:31,480
Speaker 1: kind do you do? And I was like, I do

976
00:44:31,560 --> 00:44:33,360
Speaker 1: TM And he was like, get everyone you know and

977
00:44:33,440 --> 00:44:35,759
Speaker 1: love to meditate. It's what we need right now. And

978
00:44:35,920 --> 00:44:37,840
Speaker 1: I think it was great advice and I and I

979
00:44:37,880 --> 00:44:39,399
Speaker 1: told him. I was like, I promise you I will

980
00:44:39,400 --> 00:44:41,520
Speaker 1: start meditating tomorrow and I'm going to meditate twice a

981
00:44:41,600 --> 00:44:43,960
Speaker 1: day for the rest of my life. And I already failed.

982
00:44:45,080 --> 00:44:46,520
Speaker 1: I let him down, but I do want to start

983
00:44:46,560 --> 00:44:48,759
Speaker 1: meditating again. It really did get through to me. I

984
00:44:48,800 --> 00:44:50,439
Speaker 1: do think it's what we all need. I think it's

985
00:44:51,239 --> 00:44:54,800
Speaker 1: but I was just like, I I can't let Zachary

986
00:44:54,840 --> 00:44:56,160
Speaker 1: Quinto down, like I need.

987
00:44:56,040 --> 00:44:56,680
Speaker 4: To start meditate.

988
00:44:59,239 --> 00:45:02,240
Speaker 5: His dire sum up. We're about to hit a massive

989
00:45:02,320 --> 00:45:07,040
Speaker 5: vibe shift, massive vibes and we should all do mushrooms.

990
00:45:07,440 --> 00:45:09,480
Speaker 1: Yeah, I honestly think it's time.

991
00:45:09,640 --> 00:45:11,560
Speaker 3: No, really, what could he possibly be.

992
00:45:11,680 --> 00:45:15,799
Speaker 1: He was just saying, like it's it's there's going to be.

993
00:45:16,040 --> 00:45:21,120
Speaker 1: He predicts that things are going to crumble, soon.

994
00:45:21,160 --> 00:45:22,960
Speaker 3: Implode or you know.

995
00:45:25,000 --> 00:45:27,680
Speaker 1: Civil He's like, it's not an end. There's no end

996
00:45:27,840 --> 00:45:31,640
Speaker 1: because the end ends always symbolized the beginning. But it's

997
00:45:31,719 --> 00:45:36,640
Speaker 1: going to be things no matter what happens on November second.

998
00:45:37,640 --> 00:45:40,759
Speaker 1: It's not six. I think six, it's not going to

999
00:45:40,840 --> 00:45:45,640
Speaker 1: be things are will change and that it's too broken. Yeah,

1000
00:45:45,840 --> 00:45:46,680
Speaker 1: I mean, I don't know.

1001
00:45:47,600 --> 00:45:48,200
Speaker 4: A bunch of horse.

1002
00:45:50,160 --> 00:45:54,959
Speaker 6: I do like the end result in control, just be Yeah.

1003
00:45:55,480 --> 00:45:58,719
Speaker 4: I had this podcast for seven years, the on Bluebool podcast,

1004
00:45:58,760 --> 00:46:02,240
Speaker 4: and I interviewed I don't know, maybe a one hundred

1005
00:46:02,280 --> 00:46:06,320
Speaker 4: people who have said something about a shift or the

1006
00:46:06,760 --> 00:46:08,920
Speaker 4: vibes are gonna change, and then even suggests that everyone

1007
00:46:08,920 --> 00:46:10,759
Speaker 4: needs to meditate because you need to get into your

1008
00:46:10,880 --> 00:46:14,400
Speaker 4: chakras and then elevate into the next level so that

1009
00:46:14,800 --> 00:46:17,400
Speaker 4: you can travel through the eye of our tourist or

1010
00:46:17,440 --> 00:46:19,400
Speaker 4: whatever the fuck their thing is. And there's been a

1011
00:46:19,440 --> 00:46:23,239
Speaker 4: lot of these different things, and first of all, they're

1012
00:46:23,239 --> 00:46:26,240
Speaker 4: always wrong, but you can always go back and point

1013
00:46:26,280 --> 00:46:29,240
Speaker 4: to different points in history that have been quote unquote

1014
00:46:29,280 --> 00:46:31,879
Speaker 4: the shift I was talking about. You could obviously say

1015
00:46:31,920 --> 00:46:34,120
Speaker 4: COVID was a big shift. You could say that Trump

1016
00:46:34,160 --> 00:46:36,360
Speaker 4: getting elected the first time was a big shift. You

1017
00:46:36,360 --> 00:46:39,960
Speaker 4: could say that climate change is going to be a

1018
00:46:39,960 --> 00:46:43,680
Speaker 4: big shift. But like the things that people always talk

1019
00:46:43,680 --> 00:46:47,640
Speaker 4: about are so nebulous. They're talking about like literally the

1020
00:46:47,760 --> 00:46:50,120
Speaker 4: end times, the end of the world. Like the big

1021
00:46:50,160 --> 00:46:52,520
Speaker 4: one was back in twenty twelve when the mind calendar

1022
00:46:52,600 --> 00:46:54,360
Speaker 4: was going to end, and they all thought that the

1023
00:46:54,360 --> 00:46:56,120
Speaker 4: world was going to end in twenty twelve, and then

1024
00:46:56,120 --> 00:46:58,120
Speaker 4: twenty twelve came and went and nothing happened, and all

1025
00:46:58,120 --> 00:46:58,759
Speaker 4: those people were.

1026
00:46:58,680 --> 00:47:01,160
Speaker 2: Like, I meant twenty you know whatever.

1027
00:47:01,520 --> 00:47:04,719
Speaker 1: Final thought, here's my thing. Someone has to be right

1028
00:47:04,760 --> 00:47:07,000
Speaker 1: at some point. It's this isn't going to last forever.

1029
00:47:07,080 --> 00:47:09,560
Speaker 1: So I know they always say, no, there's so many

1030
00:47:09,600 --> 00:47:12,120
Speaker 1: times throughout history where people have thought it was the

1031
00:47:12,239 --> 00:47:15,080
Speaker 1: end times and they were wrong. Well, at some point,

1032
00:47:15,200 --> 00:47:16,919
Speaker 1: someone's going to be right. So do we just keep

1033
00:47:17,040 --> 00:47:19,719
Speaker 1: using that excuse to dismiss people's fears about that? Or

1034
00:47:19,760 --> 00:47:22,640
Speaker 1: do and there's really is nothing you could do about it.

1035
00:47:22,719 --> 00:47:24,480
Speaker 4: But no, there's nothing you could do about it. But

1036
00:47:24,520 --> 00:47:28,200
Speaker 4: I think it's hubris to believe that in our lifetimes

1037
00:47:28,880 --> 00:47:30,920
Speaker 4: we are going to experience the end of the world.

1038
00:47:31,560 --> 00:47:35,120
Speaker 5: Well, every general, every generation believes that they're going to

1039
00:47:35,160 --> 00:47:37,799
Speaker 5: be there for the end of the world and the beginning.

1040
00:47:37,520 --> 00:47:39,640
Speaker 2: Of the time. It's going to be right and someone

1041
00:47:39,719 --> 00:47:40,359
Speaker 2: is going to be right.

1042
00:47:40,760 --> 00:47:44,880
Speaker 5: I all do is we should go onto whatever podcast

1043
00:47:44,920 --> 00:47:48,439
Speaker 5: that we have Sir Zachary Quinto and find out this

1044
00:47:48,480 --> 00:47:50,759
Speaker 5: week if he is telling a story how he's at

1045
00:47:50,800 --> 00:47:52,719
Speaker 5: an amy party in a k hole.

1046
00:47:56,920 --> 00:47:58,520
Speaker 1: He really was so sweet. It was one of the

1047
00:47:58,520 --> 00:48:00,759
Speaker 1: best conversations that he was just like a I felt

1048
00:48:00,760 --> 00:48:03,680
Speaker 1: like a real uh. I just I needed that, Like

1049
00:48:03,719 --> 00:48:07,480
Speaker 1: sometimes you just someone tells you something that you need

1050
00:48:07,480 --> 00:48:10,799
Speaker 1: to hear, and I just need someone to rattle me

1051
00:48:10,840 --> 00:48:13,160
Speaker 1: and say like, hey, he has.

1052
00:48:13,120 --> 00:48:15,880
Speaker 2: Such an intensity too and acting that.

1053
00:48:15,960 --> 00:48:18,120
Speaker 5: I think if I was talking to him face to face,

1054
00:48:18,480 --> 00:48:21,319
Speaker 5: like he could literally be telling me that, like we

1055
00:48:21,440 --> 00:48:23,040
Speaker 5: have to start eating dogs.

1056
00:48:23,880 --> 00:48:24,400
Speaker 2: We gotta.

1057
00:48:26,560 --> 00:48:28,879
Speaker 1: No, I'm going for my intake at the Scientology Center later.

1058
00:48:32,239 --> 00:48:33,760
Speaker 4: So you've been doing doing Elevate.

1059
00:48:34,640 --> 00:48:37,279
Speaker 1: No, I haven't yet, but they they they reached out

1060
00:48:37,280 --> 00:48:39,719
Speaker 1: and said you have to. We have to register accounts first,

1061
00:48:39,760 --> 00:48:41,200
Speaker 1: and that because they went in and tried to give

1062
00:48:41,280 --> 00:48:44,240
Speaker 1: us all free lifetime elevates and they said those emails

1063
00:48:44,239 --> 00:48:46,359
Speaker 1: aren't registered, and I was like, oh I forgot that part, so.

1064
00:48:46,440 --> 00:48:48,839
Speaker 4: Okay, just register. I went in. I have Elevate. I've

1065
00:48:48,880 --> 00:48:51,560
Speaker 4: been using it, and really I've been using a free trial.

1066
00:48:52,040 --> 00:48:53,280
Speaker 2: Oh wait, my free trial.

1067
00:48:53,239 --> 00:48:55,200
Speaker 4: Is going to start charging me in two my god.

1068
00:48:55,239 --> 00:48:56,960
Speaker 1: Okay, well I'll write to them. We'll get it. We'll

1069
00:48:56,960 --> 00:49:01,160
Speaker 1: get it going. But are God I like it too?

1070
00:49:01,280 --> 00:49:01,600
Speaker 2: Me too.

1071
00:49:01,680 --> 00:49:02,719
Speaker 7: It's a really fun app.

1072
00:49:02,760 --> 00:49:05,040
Speaker 4: Okay, yeah, I got good graphics. I really feel like

1073
00:49:05,440 --> 00:49:06,839
Speaker 4: saving off my you.

1074
00:49:06,800 --> 00:49:07,480
Speaker 1: Know, dementia.

1075
00:49:07,600 --> 00:49:08,919
Speaker 4: Yeah, I do feel that way.

1076
00:49:09,000 --> 00:49:09,719
Speaker 1: Okay, that's good.

1077
00:49:10,880 --> 00:49:13,839
Speaker 4: Yeah, I mean I really I do appreciate and I've

1078
00:49:13,840 --> 00:49:15,240
Speaker 4: been I have a five day streak.

1079
00:49:15,680 --> 00:49:16,400
Speaker 1: Oh that's great.

1080
00:49:16,480 --> 00:49:17,880
Speaker 2: Yeah, I got.

1081
00:49:19,200 --> 00:49:19,399
Speaker 3: App.

1082
00:49:19,520 --> 00:49:22,600
Speaker 1: No, it's like an app that like has brain games

1083
00:49:22,640 --> 00:49:23,120
Speaker 1: for you so.

1084
00:49:23,120 --> 00:49:25,399
Speaker 3: You can like okay, makes sense, just.

1085
00:49:25,480 --> 00:49:29,200
Speaker 1: Uh yeah, elevate your intelligence and memory like recall.

1086
00:49:29,280 --> 00:49:32,960
Speaker 4: And it's got the same level of design as like

1087
00:49:33,040 --> 00:49:36,799
Speaker 4: dual Lingo. Yes, it's like very good. Uh you know,

1088
00:49:36,920 --> 00:49:39,799
Speaker 4: sticky games that easy to use to.

1089
00:49:40,040 --> 00:49:42,320
Speaker 1: Have you guys use dual Lingo.

1090
00:49:42,840 --> 00:49:44,239
Speaker 5: I was going to say, this is not an ad.

1091
00:49:44,239 --> 00:49:45,480
Speaker 5: I'm going to get elevator.

1092
00:49:46,840 --> 00:49:49,480
Speaker 1: It's not an app. They're not paying us, this is nothing.

1093
00:49:49,560 --> 00:49:51,399
Speaker 2: We're not I remember, I'm.

1094
00:49:51,280 --> 00:49:52,840
Speaker 4: Going to get charged in two days and I'm going

1095
00:49:52,920 --> 00:49:54,200
Speaker 4: to be Actually only.

1096
00:49:54,000 --> 00:49:56,239
Speaker 1: We're talking about them because I said bad things about that.

1097
00:49:56,480 --> 00:49:57,800
Speaker 1: They reached out to me and said, we're going to

1098
00:49:57,840 --> 00:49:59,719
Speaker 1: fix those bad things and we're going to give you

1099
00:49:59,719 --> 00:50:03,200
Speaker 1: a life time membership. But the Dual Lingo I did

1100
00:50:03,200 --> 00:50:04,720
Speaker 1: take off my phone because the.

1101
00:50:04,560 --> 00:50:07,120
Speaker 4: Bird, the bird that's not good.

1102
00:50:07,440 --> 00:50:11,400
Speaker 1: And I was really disturbed by a cartoon of a

1103
00:50:11,440 --> 00:50:13,479
Speaker 1: bird that looks sick like I just don't. I can't

1104
00:50:13,480 --> 00:50:14,240
Speaker 1: handle animal.

1105
00:50:14,480 --> 00:50:16,000
Speaker 2: If you don't use it.

1106
00:50:16,000 --> 00:50:20,120
Speaker 1: The bird icon gets literal bird flu, it starts getting

1107
00:50:20,160 --> 00:50:25,560
Speaker 1: like pussy eyes. It's disgusting and dual lingo. You need

1108
00:50:25,600 --> 00:50:28,880
Speaker 1: to check yourself like it's it's that doesn't motivate me

1109
00:50:28,960 --> 00:50:31,759
Speaker 1: to use the app. It's honestly, like I said in

1110
00:50:31,800 --> 00:50:34,480
Speaker 1: my I don't want to Tomagachi, I want to learn French.

1111
00:50:34,880 --> 00:50:36,640
Speaker 1: I don't need to keep this thing alive and make

1112
00:50:36,680 --> 00:50:39,640
Speaker 1: me feel like I'm being cruel somehow, because yeah, that's

1113
00:50:39,640 --> 00:50:43,040
Speaker 1: the worst PC, making you think that you're cruel because

1114
00:50:43,360 --> 00:50:45,839
Speaker 1: maybe you were busy at work, or maybe you went

1115
00:50:45,880 --> 00:50:53,000
Speaker 1: to France on a trip, or maybe you well, if

1116
00:50:53,000 --> 00:50:54,799
Speaker 1: you're lost in France but you don't know how to

1117
00:50:54,840 --> 00:50:56,600
Speaker 1: ask for where is the train station?

1118
00:50:57,320 --> 00:50:59,680
Speaker 4: Maybe you got sick or you you know, or what

1119
00:50:59,760 --> 00:51:02,080
Speaker 4: are you you're getting married or whatever the hell, and

1120
00:51:02,120 --> 00:51:03,720
Speaker 4: now you have a sick bird on your.

1121
00:51:03,640 --> 00:51:07,880
Speaker 1: Phone, like seeing like even my mom today was like

1122
00:51:07,920 --> 00:51:10,359
Speaker 1: pulled up a like look at this humming bird. It's

1123
00:51:10,360 --> 00:51:12,120
Speaker 1: stuck in a tree. And then this guy was like

1124
00:51:12,160 --> 00:51:15,160
Speaker 1: helping the or woodpeckers helping the bird out, and I

1125
00:51:15,200 --> 00:51:16,600
Speaker 1: just I don't even want to see that. Like, I

1126
00:51:16,640 --> 00:51:18,959
Speaker 1: don't even like videos where someone sends me like this

1127
00:51:19,239 --> 00:51:21,800
Speaker 1: animal was bad but now it's good. I'm like, I

1128
00:51:21,840 --> 00:51:23,560
Speaker 1: don't want to see it was bad at once. I

1129
00:51:23,560 --> 00:51:25,279
Speaker 1: don't want to see any of it, Like even if

1130
00:51:25,320 --> 00:51:28,920
Speaker 1: it dies ending well, like dying is actually a good

1131
00:51:29,000 --> 00:51:31,040
Speaker 1: ending for animals that suffer too, But I don't want

1132
00:51:31,080 --> 00:51:33,040
Speaker 1: to see that, you know what I mean? Like it's

1133
00:51:33,080 --> 00:51:34,799
Speaker 1: if it suffered once, I don't want to see any

1134
00:51:34,800 --> 00:51:37,360
Speaker 1: of it. So do a lingo. You're losing a big

1135
00:51:37,360 --> 00:51:41,080
Speaker 1: community of people who are hyper sensitive to animal.

1136
00:51:40,920 --> 00:51:42,920
Speaker 4: It's not just that, it's people who don't want to

1137
00:51:42,960 --> 00:51:44,280
Speaker 4: be shamed when they fail.

1138
00:51:44,840 --> 00:51:48,160
Speaker 1: Yeah, that's that's it too. That doesn't work. I think

1139
00:51:48,200 --> 00:51:50,720
Speaker 1: they've done, doesn't isn't du a lingo doing the research

1140
00:51:50,760 --> 00:51:52,080
Speaker 1: that like that doesn't motivate people.

1141
00:51:52,120 --> 00:51:54,640
Speaker 4: I gotta imagine. Yeah, I when I saw that bird

1142
00:51:54,640 --> 00:51:56,200
Speaker 4: the first time, I felt the same way that you do.

1143
00:51:56,440 --> 00:52:00,319
Speaker 1: Yeah, okay, good. Even though Anya today did ment on

1144
00:52:00,360 --> 00:52:03,960
Speaker 1: the girl's chat that she her dad, oh her dad too.

1145
00:52:04,920 --> 00:52:07,080
Speaker 1: She was talking about her dad and her mom getting together,

1146
00:52:07,120 --> 00:52:10,319
Speaker 1: and he like had to write the Russian Consulate to

1147
00:52:10,400 --> 00:52:13,480
Speaker 1: like get his wife to be out of Russia. In

1148
00:52:13,520 --> 00:52:16,359
Speaker 1: the nineteen sixties or whatever when they got married and

1149
00:52:16,440 --> 00:52:20,439
Speaker 1: he kept just shaming the Russian government of like why

1150
00:52:20,480 --> 00:52:22,800
Speaker 1: would you like there was something about he wrote letters

1151
00:52:22,840 --> 00:52:25,040
Speaker 1: shaming them and it worked, yeah, because they were so

1152
00:52:25,080 --> 00:52:29,080
Speaker 1: embarrassed by what he was recognizing as like not in

1153
00:52:29,160 --> 00:52:32,400
Speaker 1: and any Goo's. He used Nikki's method, and I didn't

1154
00:52:32,440 --> 00:52:35,680
Speaker 1: understand what she meant, so I need to follow up.

1155
00:52:35,680 --> 00:52:37,600
Speaker 1: I'm like, when I when do I use that method?

1156
00:52:37,600 --> 00:52:40,560
Speaker 1: But I do? Actually I do the shame method. The

1157
00:52:40,600 --> 00:52:44,319
Speaker 1: shame method I used. I got it from you. No,

1158
00:52:44,360 --> 00:52:46,560
Speaker 1: I don't know, maybe I did. I think it does work.

1159
00:52:47,160 --> 00:52:51,040
Speaker 1: I mean it works probably initially, uh huh to make.

1160
00:52:50,920 --> 00:52:53,040
Speaker 4: Some Also, Russia is such a different culture. I got

1161
00:52:53,080 --> 00:52:55,480
Speaker 4: to imagine their relationship with shame is different.

1162
00:52:55,880 --> 00:52:58,040
Speaker 1: Yeah, shame is such an interesting topic.

1163
00:52:58,320 --> 00:53:01,320
Speaker 3: Well even I mean, your dad used to say, don't

1164
00:53:01,560 --> 00:53:03,520
Speaker 3: say shame on you to the dog.

1165
00:53:04,840 --> 00:53:07,120
Speaker 1: Dogs just kick it, look at it.

1166
00:53:08,280 --> 00:53:11,279
Speaker 3: He's like, that's not a good dog. Say dogs know

1167
00:53:11,680 --> 00:53:13,359
Speaker 3: when you're saying shame.

1168
00:53:13,719 --> 00:53:16,239
Speaker 1: Like that's bad, that's insane.

1169
00:53:16,520 --> 00:53:17,240
Speaker 3: I'm not kidding.

1170
00:53:17,280 --> 00:53:22,360
Speaker 1: He was like dog go with ye, he's.

1171
00:53:22,320 --> 00:53:23,440
Speaker 3: Don't do the animals.

1172
00:53:23,600 --> 00:53:25,719
Speaker 1: Yeah, I guess not all right. I gotta go. We

1173
00:53:25,800 --> 00:53:28,600
Speaker 1: have more podcasts for you coming up tomorrow. We'll see

1174
00:53:28,600 --> 00:53:32,040
Speaker 1: you then. Don't be good bye. The Nicky Glazer Podcast

1175
00:53:32,120 --> 00:53:34,719
Speaker 1: is a production by Will Ferrell's Big Money Players and

1176
00:53:34,800 --> 00:53:38,279
Speaker 1: iHeart Podcasts. Created and hosted by me Nicki Glazer, co

1177
00:53:38,360 --> 00:53:41,920
Speaker 1: hosted by Brian Frangie, Executive produced by Will Ferrell, Hans

1178
00:53:41,920 --> 00:53:46,080
Speaker 1: Sonny and Noah Avior. Edited it engineered by Lean and Loaf,

1179
00:53:46,360 --> 00:53:50,319
Speaker 1: video production Mark Canton, and music by Anya Marina. You

1180
00:53:50,320 --> 00:53:52,960
Speaker 1: can now watch full episodes of the Nicki Glazer podcast

1181
00:53:53,080 --> 00:53:56,520
Speaker 1: on YouTube, follow at Nikki Glazer Pod and subscribe to

1182
00:53:56,560 --> 00:53:57,080
Speaker 1: our channel