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Speaker 1: Hello the Internet, and welcome to this year end episode

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Speaker 1: of I Like guys, this is a new one. We're

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Speaker 1: trying a new format where we're going to uh look

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Speaker 1: back at the predictions that were made about and you know,

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Speaker 1: give people ship for being incredibly wrong, including ourselves. Yeah.

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Speaker 1: We we did a predictions episode last year. I went

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Speaker 1: back and listened. We sounded very tired. I think it

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Speaker 1: was the last thing we recorded in So I am Jack.

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Speaker 1: I'm joined as always by my co host Mr Miles,

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Speaker 1: just here to take down people who are not clairvoyant.

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Speaker 1: I'm going to just do that a lot. Oh my god,

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Speaker 1: you idiot. Why do people still listen to Nostro? Damis

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Speaker 1: this fool? Is like taking so many els? Right? Well,

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Speaker 1: he takes big swings. That's that's mistake you want to avoid. Miles.

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Speaker 1: We are joined by super producers on A and Becca Ramos. Hello, Hello, Hello,

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Speaker 1: what's up guys, Welcome, welcome, um the law firm of Hosnier, Ramos,

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Speaker 1: Grain and O'Brien here. It is all right. So yeah,

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Speaker 1: I did I did take a look back. Um. That

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Speaker 1: was my one piece of research, and then Becca, you

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Speaker 1: did a bunch more research. So I'll just talk about

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Speaker 1: last year's t d Z predict ees. First, I used

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Speaker 1: the word predictes in that episode about that. You shouldn't

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Speaker 1: say that word predict predict I don't know about that, dude,

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Speaker 1: Okay us predictions predictions. Um. Anyways, we did end up

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Speaker 1: spending a lot of the episode talking about sneezing and

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Speaker 1: farting at the same time, based on based on my

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Speaker 1: miles prediction that Biden would give us one of the

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Speaker 1: best gaffs ever. Um and yeah, and completely just dropped

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Speaker 1: the ball on his whole fucking I was thinking of

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Speaker 1: something a little more funny and embarrassing. It was a gaff,

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Speaker 1: just not a bodily function gap. Ye, it wasn't. It

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Speaker 1: wasn't silly. Uh. They hit all the silliness behind the scenes. Uh.

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Speaker 1: And I don't know, it does seem like they hit

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Speaker 1: him for the most part. They they heard that episode

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Speaker 1: and we're like, oh my god, hide him before he

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Speaker 1: farts and sneezes. At the same time, I would actually

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Speaker 1: humanize him a little. To me, I'd be like, yeah, okay,

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Speaker 1: I mean I've done that. Yeah, They're like he ghosted

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Speaker 1: putin on that call, like what happens? Like he was

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Speaker 1: farting and sneezing. We couldn't even we couldn't even put

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Speaker 1: him on a video call. Would have ruined everything. Miles.

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Speaker 1: You opened up with a pick of intensifying third party talk,

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Speaker 1: and I was like, that is the stupidest prediction I've

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Speaker 1: ever heard ever at the time time, and you you

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Speaker 1: were right. It turns out, um, yeah, no, that this

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Speaker 1: was uh dead on at least in terms of how

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Speaker 1: I felt about By the end of the year. I

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Speaker 1: was like, hey, we we don't really have a way

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Speaker 1: out of this with these two parties, do we know? No?

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Speaker 1: And I think we're not quite at that phase where

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Speaker 1: the talk is serious, but people are very much at

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Speaker 1: that point and they're like, man, I'm off this ship,

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Speaker 1: Like that's where we're at right now. And I think

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Speaker 1: that's the danger The most dangerous thing for Democrats is

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Speaker 1: a bunch of disillusioned people who were like I thought

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Speaker 1: I would have my student debt canceled. I thought maybe

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Speaker 1: I would have the two thousand dollars you fucking promised

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Speaker 1: or fifteen dollar minimum wage. And I think that is

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Speaker 1: you know, it's it's funny you talk to so many

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Speaker 1: people like the other day when we did that live show. Backstage,

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Speaker 1: someone was like, they're like, he's like what party. I

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Speaker 1: don't know, Republicans like funk that like Democrats like I

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Speaker 1: just want to scream at him all the time because

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Speaker 1: they're not doing anything. And I think that's kind of

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Speaker 1: where a lot of people are, whether or not they're

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Speaker 1: able to articulate it. So I'm curious to see if

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Speaker 1: you know, someone other than Andrew Yang tries to sort

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Speaker 1: of ideate around a like a tangible third party type thing.

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Speaker 1: But I don't know. I mean, I think that's it is.

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Speaker 1: People are definitely over it. Yeah, I predicted the rise

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Speaker 1: of just sort of the other side of that coin,

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Speaker 1: like can't we just go back to sleep and stop

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Speaker 1: paying attention to this sort of mainstream democratic bull trip.

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Speaker 1: I feel like that hasn't been true as much, or

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Speaker 1: at least it hasn't been that visible. I'm sure it's

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Speaker 1: true in some in some places people just being like, well,

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Speaker 1: Biden's got it. I think that one is more like

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Speaker 1: not as clearly articulated, like can't we just stop talking

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Speaker 1: about this, like because we just had a hard four years.

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Speaker 1: It's more that like none of the like the media

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Speaker 1: just doesn't isn't talking about anything that's like substantial at

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Speaker 1: the moment, Like it's if you watch the news, they

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Speaker 1: would act like, yeah, why do people need to enhance

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Speaker 1: unemployment benefits the pandemic over kind of yeah, and that's

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Speaker 1: not the case. I think the most impressive prediction came

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Speaker 1: from Anna Hosnia because she was talking about how, you know,

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Speaker 1: we haven't been driving from the pandemic, we won't drive

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Speaker 1: as much, but we will be worse at it. There

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Speaker 1: will be She didn't say a rise in accidents, but

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Speaker 1: like that was heavily implied, and that is that was

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Speaker 1: there was just a front page l a Time story

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Speaker 1: that was like, it's a shocking rise in accidents despite

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Speaker 1: the fact that fewer people are on the road. So

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Speaker 1: how how did you know that? In uh? No, I

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Speaker 1: mean that was just more like people don't know how

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Speaker 1: to handle themselves in general. So at a moving vehicle

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Speaker 1: that can cause destruction and it's gonna it's can't go

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Speaker 1: any any worse. I don't know. It's just so sad.

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Speaker 1: And you were recording that episode while speeding down a

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Speaker 1: residential street, drinking a glass of wine, smoking cigarettes like

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Speaker 1: perfect wild in reverse paddle to the metal um and

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Speaker 1: you also I said movies, we're going to come back.

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Speaker 1: I don't know. My predictions were very went back to

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Speaker 1: the growth. I went back to the movies that might

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Speaker 1: have been personal. Not a ton of people went back

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Speaker 1: to the movies. But and you were used that to

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Speaker 1: talk about trying to escape our phones, which I do

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Speaker 1: feel like is a more coherent idea that I'm hearing

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Speaker 1: for more and more people, just the idea of like, uh,

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Speaker 1: there's a book that's becoming more popular that's basically the

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Speaker 1: technology equivalent of the like how to Quit Smoking book.

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Speaker 1: I think there's like a a coherent movement by people

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Speaker 1: who are just trying to leave that ship behind. Right.

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Speaker 1: That's interesting because I have gone fully just the other direction.

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Speaker 1: I now I'm like whatever, lean in, who cares? Mhm

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Speaker 1: at this point, like I'm not even this is not

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Speaker 1: a bit. I know I'm mrs Bits, but uh, I

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Speaker 1: have just like I hate my life. I've gotten to

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Speaker 1: this point where now I'm like, I've had a very

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Speaker 1: dark here if that wasn't clear, But I just I

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Speaker 1: can't keep pretending like I've got it figured out, Like

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Speaker 1: I just I'm like, yeah, man, these phones, am I right?

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Speaker 1: Through spine on us. They're listening to us, like can

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Speaker 1: we even like exist? But it's just like what am

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Speaker 1: I even doing? Like whatever, there's gonna be a giant

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Speaker 1: wave soon anyway, that just takes my phone away from

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Speaker 1: me regardless, So like I can't keep trying to fight

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Speaker 1: this um never ending tech doom that we're facing. So

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Speaker 1: now it's like I'll give my email to anybody offering

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Speaker 1: me two percent off my first order at this point,

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Speaker 1: like whatever, I'm tat ten bucks a month to have

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Speaker 1: more gig good bites to get emails that give me anxiety?

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Speaker 1: Like what's the point? Sorry? Is this dark? For the

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Speaker 1: New Year's a giant wave from ourselves? Know? The darkest

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Speaker 1: thing was that, Like I'm kind of bummed out that

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Speaker 1: you would let the wave like knock the phone out

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Speaker 1: of your hand, Like I'm not letting no fucking wave

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Speaker 1: of knock this fucking phone out of my book. That

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Speaker 1: is that have the phone protector of the water. That's

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Speaker 1: my prediction for the year A rise and everyone will

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Speaker 1: have the phone neck protector for when we're waiting for

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Speaker 1: the wave to day. Yeah, anyway, Miles, you had a

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Speaker 1: good one about Jake Paul being the new Donald Trump,

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Speaker 1: but I think that one's still percolating in the background.

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Speaker 1: But definitely we got some main streaming of the Paul

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Speaker 1: Brothers or Bill Simmons had one of the polls on

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Speaker 1: his podcast and like, how did you do it? Man?

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Speaker 1: How did you like? It's like with racism. Yeah, I'm

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Speaker 1: gonna fucking loser who showed up at the right time.

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Speaker 1: That's all. Yeah, But otherwise I think it's time to

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Speaker 1: move on to making fun of other people's predictions from

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Speaker 1: because yeah, they're idiots unlike us who are smart and

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Speaker 1: got everything almost exactly right. And Becca, you you took

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Speaker 1: some time to look back at these, right, I took

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Speaker 1: some time to serve the internet and scour what the

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Speaker 1: world predicted fore and there's some funny ones. There were

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Speaker 1: some sadly way too on the nose ones, but looking back, Uh,

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Speaker 1: we have the French philocer and Notre Damas, who is

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Speaker 1: you know, known for being eerily correct on a lot

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Speaker 1: of things. But obviously he died in fifteen sixty six,

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Speaker 1: so we can only take his predictions with a grain

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Speaker 1: of salt. But his predictions last year for the year

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Speaker 1: one was a global famine, which you know, I won't

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Speaker 1: say was incorrect. I feel like we've gotten a lot

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Speaker 1: of news about the rise of food deserts, especially with

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Speaker 1: the I think heightened issues of poverty caused by the

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Speaker 1: pandemic of you know, lack of income and you know homelessness,

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Speaker 1: you know rising and lots of other things. So I'm

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Speaker 1: not a crazy one. He also predicted solar storms and asteroids,

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Speaker 1: and you know, like global warming is coming for us.

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Speaker 1: So I'm not that hip at to the solar system

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Speaker 1: and global warming, but I'm sure it's not crazy. I'm

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Speaker 1: sure it's not out of the realm of possibility that

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Speaker 1: that will come at some point of flexibility here, he

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Speaker 1: didn't conceive of global warming, so I guess we can

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Speaker 1: put maybe solar storm was the heat wave that just

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Speaker 1: like rocked the earth over the summer. Miles, what is

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Speaker 1: heating the earth when we talk about climate change, the

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Speaker 1: solar and then what are we getting a lot more

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Speaker 1: or of because of that storm? Storms? Solar storms? Right, Okay,

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Speaker 1: that's that's right, Okay, And asteroids who was probably talking about,

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Speaker 1: like about my videos, I got in my ass specific

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Speaker 1: you know, he was spot on with those asteroids, right,

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Speaker 1: those are hemorrhoids. Right, Okay, going on. Sorry. He also

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Speaker 1: predicted an earthquake from the article I pulled from, which

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Speaker 1: was the New Yorker article, actually was a New York

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Speaker 1: Post article. Um, they specifically said California. Apparently that did

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Speaker 1: not happen, but fires have come for California, so, you know,

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Speaker 1: an earthquake of all the footsteps of people leaving California

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Speaker 1: for Texas exactly, even though that's the quick capital of

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Speaker 1: the country right now. Crazy because a minimum wage hasn't

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Speaker 1: raised there. I mean, not that it hasn't raised across

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Speaker 1: the country, but the minoru wage in Texas is like

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Speaker 1: seven fifty bananas, right, and then a zombie apocalypse January six,

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Speaker 1: you know, yeah, actually, Nas, I give that to you,

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Speaker 1: Nas honesty, You'll give you that one. Some nasty predictions.

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Speaker 1: Now we got some more realistic ones from actual people

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Speaker 1: who live on this earth today. Uh So, globally, there

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Speaker 1: were some predictions like COVID vaccine rollouts. Some people predicted

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Speaker 1: that um people would take the vaccines, maybe there wouldn't

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Speaker 1: be as much of a fight about vaccines, and that

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Speaker 1: there would be a more efficient rollout system. That was

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Speaker 1: definitely wrong. We're still dealing with Yeah, yeah, I saw

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Speaker 1: that in a couple of places I looked to, like

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Speaker 1: people being like the pandemics over by October and rich

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Speaker 1: countries because global capitalism works, and you know, we live

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Speaker 1: in a rich place, but those pores, they're going to

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Speaker 1: have a tough one. And it's like you don't do

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Speaker 1: you not know how globalism works? In global pandemics work? Um,

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Speaker 1: But that was from the week. Yeah, especially when you

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Speaker 1: can't get anybody to take the vaccines, and that's been

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Speaker 1: the harder part right about the rollout. So there's also

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Speaker 1: been predictions that there will be no improvement in tolerance

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Speaker 1: and equal treatment of others, while loneliness concerns UM will grow,

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Speaker 1: which I feel like kind of accurate, kind of like um,

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Speaker 1: Jack you're saying earlier of I think that conversation of

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Speaker 1: like let's just go back to normal, and not that

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Speaker 1: the administration has done a good job at that. I

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Speaker 1: think people have highlighted how poorly the administration is done

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Speaker 1: at getting anything done this year, but more just they

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Speaker 1: think the conversations we're having in about activism definitely slowed

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Speaker 1: in news coverage once Biden became elected, you seeing as

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Speaker 1: much protest coverage, you weren't seeing as much conversations about

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Speaker 1: like shootings happening even though they were still happening. Um

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Speaker 1: So I do think that waste that was dead on

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Speaker 1: no improvement intolerance. I mean, like, I'm way they were

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Speaker 1: wrong because in a way, I think we fucking regressed

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Speaker 1: because I mean, Jesus, you saw that energy like oh

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Speaker 1: my god, we're here to bring things to a more

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Speaker 1: equitable place, cut too and play. I feel like most

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Speaker 1: people are like, yeah, man, my job said they were

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Speaker 1: doing this that, and the others like they haven't done

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Speaker 1: nothing since. Well. I think that's kind of the power

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Speaker 1: of the media really forcing us back into the status

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Speaker 1: quo idea of how things should be, of like everything's

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Speaker 1: cool that you see it on all sorts of Meatia,

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Speaker 1: you see it on The Bachelor Bacherette. How they like

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Speaker 1: really like they're like no, no, everything's cool again. Like

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Speaker 1: everything they really try and push you back into that

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Speaker 1: mindset of like okay, calm down, calm down. Biden's in office,

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Speaker 1: and people really buy it and it works, it really works,

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Speaker 1: and you just sit there being like like people are

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Speaker 1: dying but they're not you right now, see, And also

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Speaker 1: wouldn't you love a new electric toothbrush from oral By. Yeah,

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Speaker 1: it feels too weird on my teeth. Okay, well how

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Speaker 1: about sonic here. I really just don't like electroc toothbrushes. Okay,

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Speaker 1: that's fine, that's fine. I'm not trying to get hacked

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Speaker 1: trying to have my toothbrust. You know now that my

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Speaker 1: quip is telling me I'm a loser for not brushing enough.

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Speaker 1: It works, It works great. They're like, hey, Halitosa's mouth,

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Speaker 1: we can pick up the damn toothbrush. You're like, whoa,

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Speaker 1: what the it just texts? My quip just texted me. Yeah,

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Speaker 1: oh you in bed already? Where are you at? I

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Speaker 1: mean that's where it's going, and that's why we need

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Speaker 1: the Giant Wave. I'm gonna hold my quip and my

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Speaker 1: cell phone. I don't let go. I actually got to

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Speaker 1: knock it out my hands. I'm actually getting very concerned

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Speaker 1: about the Giant Wave because you're so dead on on

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Speaker 1: a couple of things last year. I'm like, oh, you

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Speaker 1: also predicted laser eyes, so maybe I don't need to

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Speaker 1: be So what's that concern? I don't know. Is it

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Speaker 1: people being like wired in? You know? I think of shoot,

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Speaker 1: I met, Like, so if you are actually able to

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Speaker 1: far an sneeze at the same time, you actually access

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Speaker 1: another Discovery reality. Yeah, so you unlock and you move

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Speaker 1: further into the dimension and grow laser eyes kind of

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Speaker 1: like that like broke Hotep meme where they got like

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Speaker 1: the red laser eyes and ship. Yeah, when you get based. Yeah, well,

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Speaker 1: I think another fun prediction. This one was my favorite

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Speaker 1: wild tape of vox predictions. They had a ton, but

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Speaker 1: my favorite one was that Trump will uneventfully leave office

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Speaker 1: on January and that was very much not true. If

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Speaker 1: we remember this article was released January five, one day

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Speaker 1: before the insurrection. Uh. They mentioned that there is likely

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Speaker 1: to be some drama and potentially even violent street protests

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Speaker 1: on January six when they elect to our college vote

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Speaker 1: is read before Congress, but that too, is nearly certain

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Speaker 1: to be political theater that can't overturn the go election results. True,

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Speaker 1: did not overturn the legal election results, but it was

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Speaker 1: definitely way more than some political theater. Right. Wow, It's

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Speaker 1: just if only it were like some astroturfing, you know,

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Speaker 1: coke funded nonsense. But not no, no, no, Facebook the

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Speaker 1: stage left from the Capitol. Yeah, Facebook, they got they

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Speaker 1: should get the Organizer of the Year award for putting

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Speaker 1: that whole ship together. Wow, Facebook, we love it, But

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Speaker 1: would you would you be able to organize people collectively

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Speaker 1: to you know, push for lower prescription drug prices. I

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Speaker 1: don't know that even even I think we recorded our

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Speaker 1: predictions one like mid December, and we were like, the

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Speaker 1: violent right is probably going to do the things that

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Speaker 1: they've been saying they're going to do, which like they

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Speaker 1: were already talking about, you know, like yeah, like it's

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Speaker 1: being tele graft. Because that period in between we saw

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Speaker 1: how wild to stop the steel stuff was getting and

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Speaker 1: how was Ali Alexander really that one tweet is like

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Speaker 1: I'll die for this. It was like when people were like, ohkay,

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Speaker 1: even though he's playing, you know, a part to try

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Speaker 1: and get people in a frenzy, that is that that

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Speaker 1: rhetoric was taken up so quick you're like mmmmm, all right,

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Speaker 1: let's take a quick break and we'll come back and

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Speaker 1: talk about more ways everyone is wrong and we're back,

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Speaker 1: all right. I do love this this one that you

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Speaker 1: highlighted from the week, But the next Congress I saw this,

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Speaker 1: Oh yeah, I think I also saw it in the week.

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Speaker 1: The next Congress will be surprisingly productoriate surprisingly productive in

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Speaker 1: spite of the divided government. Um and I think they

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Speaker 1: even said something about how and it's going to drive

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Speaker 1: the progressives mad. They're gonna be so angry at how

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Speaker 1: much these guys get done because they're right. We are

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Speaker 1: I've I mean, I am mad, you're right because they

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Speaker 1: doesn't have done nothing. I haven't done ship for the seriasons.

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Speaker 1: What I was surprised I didn't see any predictions were

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Speaker 1: about specifically student loans. Like I was hoping to see

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Speaker 1: somebody say something about the student loans and their failure,

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Speaker 1: or like they were going to be like, no, Biden

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Speaker 1: is definitely gonna pay these student loans. But I saw

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Speaker 1: nothing either way. He didn't and I'm still very upset

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Speaker 1: about it. I think people know the power of banking

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Speaker 1: and how much they donate to both parties. They're like,

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Speaker 1: they're not going to funk with the banks or like

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Speaker 1: those debt people who own that debt, like that's just

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Speaker 1: come on, now, we can delay it. But yeah, why

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Speaker 1: didn't seem like there was a overall like we're just

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Speaker 1: going to go back to the Clinton years here, or

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Speaker 1: at least the Obama years like everything's gonna be kind

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Speaker 1: of easier sailing. And I think that's the other again.

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Speaker 1: And I think going into three, politicians are dealing with

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Speaker 1: an electorate that is so much more like they're just

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Speaker 1: they know more stuff. Not to say that so many

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Speaker 1: people are now like have become walks, but enough people

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Speaker 1: are aware of things that affect their lives just on

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Speaker 1: like more of a general level that like they're not

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Speaker 1: able to just you know, they're not slick, they're not

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Speaker 1: doing anything low anymore. Like you're just like, oh no,

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Speaker 1: we see we actually see all of this um when

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Speaker 1: and before that, like to those you know, those golden

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Speaker 1: times you're referring to, like with Clinton who deregulated Wall Street.

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Speaker 1: You know, like the economy was good enough for like

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Speaker 1: enough people that they weren't looking to the government to

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Speaker 1: like explain what was going on. But that momentum like

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00:20:55,640 --> 00:20:58,600
Speaker 1: we've completely we we rode that momentum to its end

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Speaker 1: now and the ship basically stopped. And now people are

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Speaker 1: wondering what is this because you can't just say stuff anymore,

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Speaker 1: and I believe it. We have those other more fun predictions,

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Speaker 1: you know, those were all our big news hitter ones,

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Speaker 1: but we got some food ones and some fashion ones. Okay,

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Speaker 1: I like food, and well I like fashion too. Can't

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Speaker 1: do it little fashion. Uh. The takeout had some quick

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Speaker 1: food trends. They predicted most importantly that um people will

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Speaker 1: start creating their own fancier condiments at them, and I

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Speaker 1: think if you've been on TikTok, that's definitely true. There

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Speaker 1: are so many little quick TikTok recipes being like how

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Speaker 1: to make your favorite fry sauce at home or like

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Speaker 1: real I saw one that I say, personally, it's like

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Speaker 1: make the best buttermilk ranch or whatever, like without other preservatives. Right.

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Speaker 1: So I do think that has been a very true prediction.

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Speaker 1: And then they also said to expect to see more

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Speaker 1: plant based items, like the proteins making their ways not

359
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Speaker 1: only just meat an egg substitute, but dairy as well.

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Speaker 1: I definitely think that has been a trend in the

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Speaker 1: fast food. You've seen a lot of places put staples

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Speaker 1: of impossible meats on their menus. I'm definitely seeing a

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Speaker 1: lot more of the food boxes like the at home

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Speaker 1: meal kits a vegan focus or like vegetarian focus. I

365
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Speaker 1: personally have moved plant based, so you know, I definitely think, um,

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Speaker 1: well flexitarian. If I eat out, I'll eat some meat,

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Speaker 1: but I don't cook meat anymore at home, so good

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Speaker 1: for you. You know. I definitely think there has been

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Speaker 1: quite a shift. People are realizing how much of stuff

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Speaker 1: not only infects the environment but their day to day health,

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Speaker 1: and how even just like cutting out a little bit

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Speaker 1: of cheese as someone who loves cheese, will affect um,

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Speaker 1: you know, your diet. Okay, No, actually, I gotta add

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Speaker 1: another thing. The wave will not knock out my phone,

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Speaker 1: my clip, toothbrush, or my block of cheese. That wave

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00:22:55,200 --> 00:22:59,239
Speaker 1: is not getting like this what do you think that

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Speaker 1: is the wave? Run this bullshit? You need to really

378
00:23:05,720 --> 00:23:09,200
Speaker 1: be thinking about how you are becoming shark bait so quick, Okay,

379
00:23:09,480 --> 00:23:11,399
Speaker 1: you need to be careful out there in that wave.

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00:23:12,040 --> 00:23:16,280
Speaker 1: I know, whatever cheese and Jack's like, wait a shark attack.

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Speaker 1: He's like, where were that? Way? Get excited. There's something

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00:23:23,240 --> 00:23:26,040
Speaker 1: for you. But you know that prediction about the plant

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Speaker 1: based meat is true because on some of the year

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Speaker 1: end wrap like Round Up, some like door Dash, or

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Speaker 1: like the food delivery sites, they said like one of

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Speaker 1: the most popular items this year were vegan burgers, So

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00:23:38,320 --> 00:23:41,600
Speaker 1: that truly that helped, so shout out the takeout for

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Speaker 1: I guess something they could see in the economic graphs

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Speaker 1: or whatever. But yeah, like I feel like some of

390
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Speaker 1: the fast food sandwiches were last year, right, we're like

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Speaker 1: already happening, Like, yeah, they were starting to Burger King.

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Speaker 1: I think released there's yeah twenty nine teen. I think

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Speaker 1: they even did that, but I think more places were

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Speaker 1: on stand I think maybe McDonald's this year released vegan

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Speaker 1: meat on their menu. I know back in KFC did

396
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Speaker 1: like a trial run with them, the vegan nuggets. I

397
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Speaker 1: don't think that's a staple um food menu item yet,

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Speaker 1: but definitely I think even more in like miles of

399
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Speaker 1: saying like in take out, like there's just been more

400
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Speaker 1: people ordering like vegan options, not just like fast fast food,

401
00:24:28,960 --> 00:24:31,639
Speaker 1: but like from their restaurants and things like that. Yeah,

402
00:24:31,880 --> 00:24:34,359
Speaker 1: they really haven't figured out the vegan chicken. I feel like,

403
00:24:34,480 --> 00:24:38,919
Speaker 1: am I wrong about that? I well, okay, I do think. Um,

404
00:24:38,960 --> 00:24:42,400
Speaker 1: there's this one brand, what is it called Nugs. They're

405
00:24:42,840 --> 00:24:48,280
Speaker 1: vegan chicken nuggets are okay, but they are now in stores.

406
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Speaker 1: Originally you can only buy them online and they would

407
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Speaker 1: like deliver to you in a block of dry eyes,

408
00:24:53,040 --> 00:24:56,520
Speaker 1: and it was kind of expensive and not weren't at

409
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Speaker 1: that point because they gave you like you have to

410
00:24:59,160 --> 00:25:01,600
Speaker 1: order like fifty ugs and now you can order like

411
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Speaker 1: a twelve pack at the Cornery store, which is way

412
00:25:04,160 --> 00:25:08,080
Speaker 1: more reasonable. But the regular nuggets are okay, they're a

413
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Speaker 1: little dry, but there's spicy nugs. I will say that

414
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Speaker 1: flavor is on point. Yeah, the classics a little dry, okay,

415
00:25:18,160 --> 00:25:21,399
Speaker 1: but the spicy ones I think are better and the

416
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Speaker 1: closest I've found, I think to a chicken substitute. I'm

417
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Speaker 1: not a big fan of a lot of the vegan

418
00:25:27,960 --> 00:25:32,080
Speaker 1: meats personally, especially as someone who has a soy allergy,

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Speaker 1: Like it just makes my stomach hurts. So a lot

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Speaker 1: of the vegan meats are soy base. But there's like this,

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Speaker 1: I think it's Morning Star. They have like, um, this

422
00:25:41,760 --> 00:25:44,880
Speaker 1: v and rizo and that is really good because it's

423
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Speaker 1: not soy rizo, which I think like trin Joe's as soyrizo.

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00:25:48,160 --> 00:25:50,960
Speaker 1: Not a fan of the soy rizo. But whatever Morning

425
00:25:51,000 --> 00:25:53,560
Speaker 1: Stars vegan thereso is. I use it in some vegan

426
00:25:53,560 --> 00:25:58,560
Speaker 1: and bananas I made and it was good. Um, maybe

427
00:25:58,560 --> 00:26:00,480
Speaker 1: I should have set up top, but we are not

428
00:26:00,600 --> 00:26:05,040
Speaker 1: doing predictions for next year in this episode. We are

429
00:26:05,119 --> 00:26:08,080
Speaker 1: going to be doing those in the first episode of

430
00:26:08,119 --> 00:26:13,520
Speaker 1: the year, um, when they will already be at least

431
00:26:13,920 --> 00:26:18,280
Speaker 1: wrong by one day. UM. So look out for our

432
00:26:18,400 --> 00:26:21,440
Speaker 1: predictions then, because it is where we just look back

433
00:26:21,480 --> 00:26:23,800
Speaker 1: and laugh at people for being wrong. Sorry I should

434
00:26:23,800 --> 00:26:27,720
Speaker 1: have said that up top. People like these aren't predictions

435
00:26:27,760 --> 00:26:31,160
Speaker 1: for next year? What's going on with them? Do they know? Yes?

436
00:26:31,400 --> 00:26:34,800
Speaker 1: We know, we know. Um. This the New York Times

437
00:26:34,840 --> 00:26:37,720
Speaker 1: food trends. There were a couple that really stuck out

438
00:26:37,720 --> 00:26:40,920
Speaker 1: to me. First one was drinks from cans becoming a thing,

439
00:26:41,000 --> 00:26:49,919
Speaker 1: and I'm like, sure, um, but I've been, but I

440
00:26:49,960 --> 00:26:54,400
Speaker 1: think we have. But in general, like that canned cocktail thing,

441
00:26:54,600 --> 00:26:56,679
Speaker 1: I feel like has exploded, you know what I mean,

442
00:26:56,720 --> 00:26:59,760
Speaker 1: because like all these like spirit brands are hopping in

443
00:27:00,080 --> 00:27:03,400
Speaker 1: uh you know, they're trying to do battle with the Seltzers.

444
00:27:03,880 --> 00:27:07,440
Speaker 1: So it's, um, yeah, it's I I felt that one

445
00:27:07,520 --> 00:27:09,560
Speaker 1: was somewhat on point. And the one that I was

446
00:27:09,680 --> 00:27:12,920
Speaker 1: more curious about, and I'm trying to get everyone's take

447
00:27:13,000 --> 00:27:17,480
Speaker 1: on this, is they predicted food for the bedroom like

448
00:27:17,600 --> 00:27:20,760
Speaker 1: balls of pretzels. No, if you click on the article

449
00:27:21,640 --> 00:27:25,680
Speaker 1: much to type out, sorry for the Bedroom was specifically

450
00:27:25,720 --> 00:27:29,320
Speaker 1: like those CBD kind of drinks, like the drinks that

451
00:27:29,359 --> 00:27:32,959
Speaker 1: are specifically designed to help you sleep or relax, like

452
00:27:33,000 --> 00:27:37,960
Speaker 1: all those infused drinks, drinks from a can. So like

453
00:27:38,040 --> 00:27:41,760
Speaker 1: the brand recess, I think is like one to think

454
00:27:42,160 --> 00:27:43,879
Speaker 1: you're saying, you said the brand can. Is that what

455
00:27:43,880 --> 00:27:46,479
Speaker 1: you're saying something in the brain can, Yeah, there is,

456
00:27:46,520 --> 00:27:49,320
Speaker 1: there's a there's a there is a brand can brain.

457
00:27:50,800 --> 00:27:53,840
Speaker 1: And then I think, yeah, but yeah, that's what they meant.

458
00:27:53,920 --> 00:27:56,439
Speaker 1: They meant drinks that like, instead of drinks that are

459
00:27:56,480 --> 00:27:59,879
Speaker 1: supposed to be like energizing drinks like new you know,

460
00:28:00,119 --> 00:28:05,640
Speaker 1: monster drinks or whatever. Yeah, they're like but not alcoholic sedatives,

461
00:28:05,840 --> 00:28:09,120
Speaker 1: right right right. I do like that they had one

462
00:28:09,160 --> 00:28:13,040
Speaker 1: good prediction and they stretched it over too with drinks

463
00:28:13,040 --> 00:28:15,359
Speaker 1: from cans and food for the Bedroom, which are drinks

464
00:28:15,359 --> 00:28:17,800
Speaker 1: from cans that will help you chill out. I thought

465
00:28:17,800 --> 00:28:21,600
Speaker 1: it'd be like crumb less foods. Yeah exactly, yea through

466
00:28:21,760 --> 00:28:23,520
Speaker 1: and I was like, why did you make this a

467
00:28:23,520 --> 00:28:26,679
Speaker 1: separate point? Like that needs to think somebody needs to

468
00:28:26,680 --> 00:28:28,919
Speaker 1: work on that ship, because I have cracker crumbs in

469
00:28:28,920 --> 00:28:33,040
Speaker 1: my bed and I cannot deal with that. I love

470
00:28:33,240 --> 00:28:37,680
Speaker 1: eating in my bed. I'm a little rat who eats

471
00:28:37,680 --> 00:28:42,520
Speaker 1: in the bed, and I have developed techniques and tactics

472
00:28:42,560 --> 00:28:45,959
Speaker 1: because I regularly get screamed at are you fucking eating

473
00:28:46,040 --> 00:28:48,920
Speaker 1: chips and the serious, But I'm like, no, no, no,

474
00:28:48,960 --> 00:28:51,040
Speaker 1: I do the thing. I'll hold the chip over my mouth.

475
00:28:52,000 --> 00:28:55,080
Speaker 1: No biting, because when you bite it, you create the crumbs.

476
00:28:55,360 --> 00:28:58,960
Speaker 1: So you gotta get a hole chill hand technique. No no, no, no,

477
00:29:00,040 --> 00:29:03,880
Speaker 1: it's running right. Or if it's like a very buttery

478
00:29:03,920 --> 00:29:06,440
Speaker 1: cracker kind of thing that gets very crummy after the

479
00:29:06,480 --> 00:29:08,640
Speaker 1: first bite, you gotta bite it and then you gotta

480
00:29:08,680 --> 00:29:10,560
Speaker 1: lick off the crumbs from the edge of the bit

481
00:29:10,640 --> 00:29:12,560
Speaker 1: part of the cracker to make sure you're getting loose

482
00:29:12,600 --> 00:29:17,280
Speaker 1: crumbs of cleaning up a murder scene. Yes, you gotta

483
00:29:17,280 --> 00:29:20,240
Speaker 1: start dusting for the crumbs. I'm look, I'm just somebody

484
00:29:20,280 --> 00:29:22,360
Speaker 1: who refuses to change their way. So if I have

485
00:29:22,400 --> 00:29:25,280
Speaker 1: to adapt and like eat nine minutes longer and do

486
00:29:25,360 --> 00:29:27,560
Speaker 1: that to be able to do it crumb free, then

487
00:29:27,560 --> 00:29:29,600
Speaker 1: I'll do it. So And to your point, yes, I

488
00:29:29,640 --> 00:29:33,400
Speaker 1: would like crumb free bread food. Yeah. The only thing

489
00:29:33,440 --> 00:29:35,400
Speaker 1: I eat in bed is ice cream. That's all I

490
00:29:35,400 --> 00:29:37,000
Speaker 1: can do the rest of it. I'm gonna sit on

491
00:29:37,040 --> 00:29:39,520
Speaker 1: the couch and finished before I go to bed. When

492
00:29:39,520 --> 00:29:40,840
Speaker 1: I wake up in the morning, I feel like I've

493
00:29:40,840 --> 00:29:45,760
Speaker 1: been rolling bread crumbs thinking about to be fried chicken

494
00:29:46,280 --> 00:29:49,080
Speaker 1: or something. My wife lacks your discipline when it comes

495
00:29:49,120 --> 00:29:53,080
Speaker 1: to the cracker edges, and she like that. Oh here

496
00:29:53,240 --> 00:29:58,240
Speaker 1: she comes, Watch out, Jack cheese eating food. Here she comes.

497
00:29:58,480 --> 00:30:09,160
Speaker 1: She's a bed eater. Here she crumbs, she crumbs full

498
00:30:11,920 --> 00:30:17,440
Speaker 1: inside o. Here she crumbs what it should be. Oh

499
00:30:17,520 --> 00:30:22,080
Speaker 1: here she comes. Dude, alright, alright, alright, okay, I'll go

500
00:30:22,120 --> 00:30:28,480
Speaker 1: with that ad. I'm like an idiot. Oh here she comes. Okay,

501
00:30:28,600 --> 00:30:35,640
Speaker 1: you're happy, Darryl Hall. I mean this. I don't want

502
00:30:35,680 --> 00:30:37,920
Speaker 1: to exclusively pick on the New York Times here, but

503
00:30:38,240 --> 00:30:42,000
Speaker 1: number two is drinks from cans. Number one is meal

504
00:30:42,080 --> 00:30:44,800
Speaker 1: kits from chefs, which like that's been a thing for

505
00:30:45,160 --> 00:30:47,880
Speaker 1: a long time. Did that take off? I can't point

506
00:30:47,920 --> 00:30:49,760
Speaker 1: to a meal kit from a chef right now. Yeah,

507
00:30:49,760 --> 00:30:52,880
Speaker 1: I don't think I've seen one specifically from a chef

508
00:30:54,720 --> 00:30:58,200
Speaker 1: make cat food or it's like a very New York

509
00:30:58,240 --> 00:31:00,600
Speaker 1: Times thing where it's like, I know this chef from

510
00:31:00,640 --> 00:31:04,680
Speaker 1: Balta's off and he's putting together a meal kit that's

511
00:31:04,680 --> 00:31:07,880
Speaker 1: like so great. It's like for four hundred dollars, you

512
00:31:07,960 --> 00:31:10,360
Speaker 1: get one meal for three people, and you're like, I

513
00:31:10,560 --> 00:31:13,480
Speaker 1: seen that. Yeah, that's that's what I feel like, maybe

514
00:31:13,520 --> 00:31:16,280
Speaker 1: that's what they're doing because that feels very in whitey. Yeah.

515
00:31:16,280 --> 00:31:19,240
Speaker 1: I feel like they're like if you looked at the

516
00:31:19,680 --> 00:31:23,560
Speaker 1: profession makeup of New York Times writers friends, it would

517
00:31:23,560 --> 00:31:30,080
Speaker 1: be like chef, like famous chef, ten percent Somalia and

518
00:31:30,640 --> 00:31:37,800
Speaker 1: then like Somalia, lawyer, their bookseller, dermatologist, but all their

519
00:31:37,840 --> 00:31:40,840
Speaker 1: medical takes come from a dermatologist that they know. And

520
00:31:40,880 --> 00:31:43,120
Speaker 1: it's like, well there's others. Okay, what I was like,

521
00:31:43,200 --> 00:31:47,160
Speaker 1: lard doctor, and and also finance Bros. For sure, you

522
00:31:47,160 --> 00:31:50,280
Speaker 1: gotta have finance Bros. Drinks from cans, which I've been

523
00:31:50,280 --> 00:31:54,360
Speaker 1: doing since Brave I was a child. Vegetables of the Year,

524
00:31:54,720 --> 00:31:59,920
Speaker 1: take your pick, Okay, come on, vegetables were all vegetables

525
00:32:00,120 --> 00:32:02,280
Speaker 1: a vegetable of the Year, but this year people are

526
00:32:02,320 --> 00:32:05,480
Speaker 1: going more plant based, So pick a vegetable that is

527
00:32:05,520 --> 00:32:09,120
Speaker 1: your favorite. And then when they finally take their big

528
00:32:09,160 --> 00:32:13,560
Speaker 1: swing where they get real specific, they're like, alright, motherfucker's

529
00:32:13,600 --> 00:32:16,640
Speaker 1: you ready roll up their sleeves. Flavor of the year

530
00:32:17,400 --> 00:32:24,560
Speaker 1: basque burnt cheesecake. Wild ready to not be able to

531
00:32:24,720 --> 00:32:28,600
Speaker 1: escape basque burnt cheesecake, especially because cheesecake isn't like the

532
00:32:28,720 --> 00:32:31,400
Speaker 1: easiest thing to make. Take it from someone who's tried

533
00:32:31,440 --> 00:32:33,920
Speaker 1: to make a cheesecake multiple times, and maybe I'm just challenged,

534
00:32:34,040 --> 00:32:36,760
Speaker 1: but I've yet to successfully make. They could have said

535
00:32:36,800 --> 00:32:42,160
Speaker 1: cheesecake as a as a flavor, but so specific. What's

536
00:32:42,280 --> 00:32:45,760
Speaker 1: basque burn exactly? Well, you would think you would know

537
00:32:45,800 --> 00:32:47,800
Speaker 1: by now, and it is the flavor of the year.

538
00:32:48,160 --> 00:32:51,680
Speaker 1: Are you yelling at me? He's taking out his anger

539
00:32:51,720 --> 00:32:54,480
Speaker 1: that the NYT didn't do their best with these predictions.

540
00:32:55,400 --> 00:32:58,400
Speaker 1: I don't know what that is. The crestless cheesecake baked

541
00:32:58,480 --> 00:33:01,280
Speaker 1: in a very hot ovens of the top caramelizes but

542
00:33:01,320 --> 00:33:05,840
Speaker 1: the inside remains soft and jiggli came out of San Sebastian, Spain.

543
00:33:06,160 --> 00:33:09,600
Speaker 1: In the some elite American chefs started making versions, and

544
00:33:09,640 --> 00:33:12,720
Speaker 1: two years ago is slipped into more mainstream food culture.

545
00:33:12,800 --> 00:33:18,360
Speaker 1: Where where I don't know mainstream is if if cheesecake

546
00:33:18,520 --> 00:33:22,680
Speaker 1: Factory had a burnt bass cheesecake, then yes, hats off

547
00:33:22,720 --> 00:33:26,560
Speaker 1: to you, but it's mainstream. But like when I'm looking

548
00:33:26,600 --> 00:33:29,440
Speaker 1: at it, like I'm looking at like a Japanese recipe

549
00:33:29,480 --> 00:33:34,000
Speaker 1: website like Serious Eats, which okay, like I get Serious

550
00:33:34,000 --> 00:33:35,920
Speaker 1: Seats as a destination for that, but like I don't

551
00:33:35,920 --> 00:33:39,160
Speaker 1: see it as like a we're not seeing the proliferation

552
00:33:39,200 --> 00:33:42,320
Speaker 1: of it, you know, being offered as a standard dessert option.

553
00:33:42,840 --> 00:33:46,600
Speaker 1: Absolutely not. Yeah, no it, I'm not seeing it. I'm not.

554
00:33:46,640 --> 00:33:49,720
Speaker 1: I don't get it someone who's a connisseur of cheesecake.

555
00:33:49,880 --> 00:33:54,640
Speaker 1: It's definitely not my go to. I mean, that's just

556
00:33:54,760 --> 00:33:57,400
Speaker 1: on you. The New York Times is right. The world

557
00:33:57,560 --> 00:34:03,680
Speaker 1: was wrong, all right. And finally, let's talk fashion real quick.

558
00:34:04,320 --> 00:34:07,000
Speaker 1: Style cast. You would think they would know since they

559
00:34:07,040 --> 00:34:11,560
Speaker 1: cast styles and they cast it like it's a fishing line. Um,

560
00:34:11,680 --> 00:34:14,759
Speaker 1: and they had some hot takes. They had some hot takes.

561
00:34:14,760 --> 00:34:18,040
Speaker 1: I don't feel like anything they said was wrong by

562
00:34:18,080 --> 00:34:21,840
Speaker 1: any means. Their first suggestion was I sore prints. I

563
00:34:21,840 --> 00:34:25,480
Speaker 1: thought that was a little rude. I like a loud print,

564
00:34:25,640 --> 00:34:27,560
Speaker 1: you know. I think they're fun. I don't wear a

565
00:34:27,600 --> 00:34:30,120
Speaker 1: lot of them, but I enjoy it when people take

566
00:34:30,200 --> 00:34:32,239
Speaker 1: the leap to do it. And I do feel like

567
00:34:32,719 --> 00:34:34,960
Speaker 1: TikTok really loved a loud print this year. I saw

568
00:34:35,040 --> 00:34:37,640
Speaker 1: it a chuckerboard. I saw a lot of floral, but

569
00:34:37,680 --> 00:34:42,240
Speaker 1: not like yeah not devils were a sprout uct floral

570
00:34:42,440 --> 00:34:46,600
Speaker 1: for spring groundbreaking, but more like bright daisies kind of thing,

571
00:34:46,719 --> 00:34:55,040
Speaker 1: like chunky like floral loose layers was their second pick,

572
00:34:55,200 --> 00:34:57,759
Speaker 1: which I feel like, yeah, that oversized look is like

573
00:34:57,960 --> 00:35:01,600
Speaker 1: very in right now, I can't get into that. Unique bags,

574
00:35:01,760 --> 00:35:04,520
Speaker 1: which I think was a silly way to put that.

575
00:35:04,640 --> 00:35:08,000
Speaker 1: But they said not like the other girls bags, it's

576
00:35:08,040 --> 00:35:10,960
Speaker 1: a unique bag, Like what is that like a Tesco

577
00:35:11,160 --> 00:35:16,160
Speaker 1: shopping bag? Yeah, I think having a bag that isn't like, um, trendy.

578
00:35:16,200 --> 00:35:19,000
Speaker 1: I guess like something that you found like super unique, vintage,

579
00:35:19,080 --> 00:35:24,160
Speaker 1: like weird like loud, not something that is reasonable, like

580
00:35:24,200 --> 00:35:26,480
Speaker 1: not something that's going to go with everything, like you

581
00:35:26,560 --> 00:35:32,080
Speaker 1: have a bag per outfit statement. Bag Guilty nailed me. Um.

582
00:35:32,200 --> 00:35:35,000
Speaker 1: They said textures and shears, which is very true. I

583
00:35:35,000 --> 00:35:38,520
Speaker 1: do think textures and shears were big this year. Um.

584
00:35:38,560 --> 00:35:41,359
Speaker 1: A lot of like sheery tops with like brawlett kind

585
00:35:41,360 --> 00:35:46,440
Speaker 1: of situation that's sparkly sheer. And then they said chunky

586
00:35:46,480 --> 00:35:49,680
Speaker 1: boots and loafers, not heels of the year, Like you

587
00:35:49,719 --> 00:35:55,520
Speaker 1: wanted comfortable style shoes. I'm not a big loafer fan personally,

588
00:35:56,520 --> 00:35:58,760
Speaker 1: but I do love a boot. We definitely went chunky

589
00:35:58,800 --> 00:36:00,799
Speaker 1: this year. I feel like I've seen a lot of

590
00:36:00,880 --> 00:36:05,640
Speaker 1: chunk in those chunkers. Oh yeah, the footwear, Yeah, NonStop

591
00:36:05,719 --> 00:36:08,239
Speaker 1: chunkers and oh my gosh. The other day when I

592
00:36:08,280 --> 00:36:12,040
Speaker 1: was at the Americana, I saw somebody there shoot too chunky,

593
00:36:12,239 --> 00:36:14,920
Speaker 1: couldn't walk on it. They had a misstep on a

594
00:36:14,920 --> 00:36:18,239
Speaker 1: big old chunky sneaker and I went where they like

595
00:36:18,320 --> 00:36:22,240
Speaker 1: their platforms too. Yeah, they were chunky ass like they

596
00:36:22,320 --> 00:36:25,000
Speaker 1: almost they were like so chunky to make up like

597
00:36:25,040 --> 00:36:27,319
Speaker 1: a fashion statement that in a way like it was

598
00:36:27,360 --> 00:36:30,400
Speaker 1: like it was karmic that you're like and you couldn't

599
00:36:30,400 --> 00:36:34,080
Speaker 1: even transition from concrete to grass. Part of me feels

600
00:36:34,080 --> 00:36:36,080
Speaker 1: like there was something gen Z was born with that

601
00:36:36,239 --> 00:36:38,719
Speaker 1: taught them how to walk in these chunky shoes. Because

602
00:36:38,760 --> 00:36:45,120
Speaker 1: I'm trip Central trop trop Central adventuroul when I try

603
00:36:45,200 --> 00:36:50,080
Speaker 1: and walk with chunky, chunky souls right bottom, yeah, chunky

604
00:36:50,560 --> 00:36:54,600
Speaker 1: chunky souls. Yeah. So I personally, I am a short person.

605
00:36:54,760 --> 00:36:58,440
Speaker 1: I'm very short. I like a platform sometimes, but I

606
00:36:58,520 --> 00:37:01,360
Speaker 1: can't walk on a flat form. I was grown in

607
00:37:01,440 --> 00:37:03,840
Speaker 1: the South, so I'm like all about a heel. I

608
00:37:03,960 --> 00:37:06,120
Speaker 1: feel like I'm gonna tip over, like if I'm like walk,

609
00:37:06,160 --> 00:37:08,760
Speaker 1: because if I'm just like four inches just like floating,

610
00:37:09,520 --> 00:37:13,040
Speaker 1: I'm like I'm gonna fall, like at least like a heel.

611
00:37:13,239 --> 00:37:15,520
Speaker 1: Your toes are like on the ground, so you can

612
00:37:15,840 --> 00:37:18,640
Speaker 1: feel the ground. But when you're on a platform just

613
00:37:18,840 --> 00:37:21,640
Speaker 1: like four inches taller than you're supposed to be, because

614
00:37:21,640 --> 00:37:24,160
Speaker 1: then you have to adjust your your gate and your

615
00:37:24,239 --> 00:37:26,880
Speaker 1: stride and picking your feet up because with that chunky

616
00:37:26,960 --> 00:37:29,880
Speaker 1: as soul like your toe will scrape down. And then

617
00:37:29,960 --> 00:37:34,560
Speaker 1: you're like, you like this person at the Americana, Shout

618
00:37:34,600 --> 00:37:36,680
Speaker 1: out to them, Shout out to them, going for it

619
00:37:36,880 --> 00:37:39,080
Speaker 1: for really, you know, doing it for the fashion, doing

620
00:37:39,120 --> 00:37:40,919
Speaker 1: it for the Gram. You know, I think we're back,

621
00:37:41,400 --> 00:37:44,200
Speaker 1: Like Joe was saying earlier on a different recording we

622
00:37:44,239 --> 00:37:47,040
Speaker 1: had today, you know, everyone's flexing for the gram again,

623
00:37:47,160 --> 00:37:49,800
Speaker 1: like they are. They know when they step outside, no

624
00:37:49,880 --> 00:37:51,279
Speaker 1: one's going to see that look. So you have to

625
00:37:51,320 --> 00:37:53,560
Speaker 1: take a picture. And I have to live somewhere because

626
00:37:53,560 --> 00:37:56,880
Speaker 1: we're in the house all day. Um. And then the

627
00:37:57,000 --> 00:38:00,520
Speaker 1: last big prediction was a high low mix, meaning like

628
00:38:00,760 --> 00:38:04,920
Speaker 1: high fashion pieces with low fashion pieces, so like sporting

629
00:38:05,600 --> 00:38:08,920
Speaker 1: like H and M coat with like a designer Chanel

630
00:38:09,000 --> 00:38:13,120
Speaker 1: bag or right, you know, just really expensive and then

631
00:38:13,200 --> 00:38:16,279
Speaker 1: really cheap. Right, You've got to do your coat on

632
00:38:16,560 --> 00:38:21,719
Speaker 1: with the old Family reunion T shirt underneath that you drifted, Yeah,

633
00:38:22,000 --> 00:38:25,640
Speaker 1: I see see that everywhere. That feels like in l A. Yeah,

634
00:38:25,680 --> 00:38:29,640
Speaker 1: to tuxedo up top and then sweatpants on the bottom. Well, Jack,

635
00:38:29,680 --> 00:38:31,879
Speaker 1: I just said, that's just a weird look. Not You're

636
00:38:31,920 --> 00:38:35,360
Speaker 1: like high low, dude, like the highest up high, the

637
00:38:35,480 --> 00:38:38,160
Speaker 1: lowest down low. When you were like when you were

638
00:38:38,200 --> 00:38:41,919
Speaker 1: that crop top and like like Daisy Duke shorts, You're

639
00:38:41,960 --> 00:38:44,399
Speaker 1: like high up here and then low down here. I'm

640
00:38:44,440 --> 00:38:49,879
Speaker 1: like jag Okay is back. People did predict that, um,

641
00:38:50,200 --> 00:38:52,320
Speaker 1: but I felt like I was way too self explanatory

642
00:38:52,440 --> 00:38:55,360
Speaker 1: and way too on the nose because Y two K

643
00:38:55,560 --> 00:38:59,719
Speaker 1: has come back in full force, and I'm not happy

644
00:38:59,719 --> 00:39:02,960
Speaker 1: about it personally. Um, I'm scarred from those years of

645
00:39:03,000 --> 00:39:06,000
Speaker 1: my life. I was an ugly middle schooler and low

646
00:39:06,160 --> 00:39:09,520
Speaker 1: rise jeans don't look good on Kirby girls, So I'm

647
00:39:09,560 --> 00:39:14,160
Speaker 1: not happy. I can't have hips when you have when

648
00:39:14,200 --> 00:39:16,680
Speaker 1: you were a little right, you cannot have hips with

649
00:39:16,800 --> 00:39:19,440
Speaker 1: ubbo i jeans. We all remember, I feel like no

650
00:39:19,520 --> 00:39:22,520
Speaker 1: one's talking about like that's scary muffintop. We were so

651
00:39:22,640 --> 00:39:25,080
Speaker 1: afraid of having like that. I don't want to be

652
00:39:25,200 --> 00:39:28,239
Speaker 1: like a choogy millennial talking about it. But that was

653
00:39:28,400 --> 00:39:31,120
Speaker 1: like horrible. All you were worried about was that muffintop.

654
00:39:31,719 --> 00:39:34,600
Speaker 1: And now people are like, no, this is this is cool.

655
00:39:34,680 --> 00:39:37,640
Speaker 1: I'm like, I got my l Ei jeans out of storage.

656
00:39:37,800 --> 00:39:39,960
Speaker 1: I'm ready. By the way, that was the first and

657
00:39:40,040 --> 00:39:43,960
Speaker 1: most seamless, uh you know, straightforward use of choogy by

658
00:39:44,320 --> 00:39:47,080
Speaker 1: somebody on our show, and it means a lot to me.

659
00:39:47,400 --> 00:39:51,360
Speaker 1: Makes me feel relevant and also realized, I don't know

660
00:39:51,440 --> 00:39:58,000
Speaker 1: what it means. I saw that was very much like

661
00:39:58,200 --> 00:40:01,640
Speaker 1: only like why millennial women use this word? And I

662
00:40:01,719 --> 00:40:04,720
Speaker 1: do believe that, Like it's like we as the POC community,

663
00:40:04,760 --> 00:40:06,880
Speaker 1: we're like that is for them and it is not

664
00:40:07,080 --> 00:40:12,560
Speaker 1: for us. They're having. Yeah, there's always that's what's funny. Yeah,

665
00:40:12,560 --> 00:40:15,040
Speaker 1: there's always words to describe someone who's like out of

666
00:40:15,120 --> 00:40:18,960
Speaker 1: touch now older and you know, trying to recapture their

667
00:40:19,160 --> 00:40:22,160
Speaker 1: their glory. But you know, shout out all the tubes

668
00:40:22,560 --> 00:40:26,040
Speaker 1: out there. You know, we see you. God, what is

669
00:40:26,200 --> 00:40:29,680
Speaker 1: who is wearing the low cut jeans where they cut

670
00:40:29,800 --> 00:40:33,640
Speaker 1: the entire back off, So it's oh yeah, pink right

671
00:40:33,920 --> 00:40:35,880
Speaker 1: from our We had a live show where we look

672
00:40:35,960 --> 00:40:38,520
Speaker 1: back at the fashions of like the early adds, and

673
00:40:39,239 --> 00:40:42,600
Speaker 1: Pink is rocking like there's no back to her pocket

674
00:40:42,960 --> 00:40:49,920
Speaker 1: and it's just like yeah, yeah, but no waste, no waste,

675
00:40:50,160 --> 00:40:52,200
Speaker 1: and so it's just like you don't even know how

676
00:40:52,280 --> 00:40:54,240
Speaker 1: it's staying up, like it has to have been glued

677
00:40:54,320 --> 00:40:56,600
Speaker 1: to her pelvis. No, I think there were clear straps

678
00:40:56,680 --> 00:41:01,279
Speaker 1: that we couldn't see an I was. I thought they

679
00:41:01,320 --> 00:41:03,640
Speaker 1: was being held up by her abs kidding, Why don't

680
00:41:03,640 --> 00:41:07,960
Speaker 1: you guys try watching the project the women Pop Gurley's

681
00:41:08,000 --> 00:41:11,440
Speaker 1: of the early two thousands, ABS was, that's how you

682
00:41:11,560 --> 00:41:15,480
Speaker 1: ruined Crouching Tiger for me too, there's invisible straps that

683
00:41:15,600 --> 00:41:20,040
Speaker 1: holding them, holding them they're flying. No wait till we

684
00:41:20,040 --> 00:41:23,920
Speaker 1: tell them about the matrix, you liars. I ruined a

685
00:41:23,960 --> 00:41:27,600
Speaker 1: lot of screenings of that by screaming like that, Look, guys,

686
00:41:27,640 --> 00:41:30,600
Speaker 1: it's been a long year. Uh. And I said on

687
00:41:30,719 --> 00:41:34,839
Speaker 1: last year's episode where we did predictions that this would

688
00:41:34,840 --> 00:41:37,640
Speaker 1: be the last you heard of me, and uh say

689
00:41:37,680 --> 00:41:40,520
Speaker 1: it again. Uh, this is it from my podcast career.

690
00:41:42,280 --> 00:41:44,400
Speaker 1: It's been fun, all right. Well, thank you guys so

691
00:41:44,560 --> 00:41:48,200
Speaker 1: much for coming on to talk about all the ways

692
00:41:48,600 --> 00:41:52,439
Speaker 1: experts are idiots and we are smarter than them. Thank

693
00:41:52,520 --> 00:41:56,879
Speaker 1: you Becca. Where can people find you and follow you? Yeah?

694
00:41:56,920 --> 00:41:59,759
Speaker 1: You can find me on Instagram at backs ramas be

695
00:42:00,120 --> 00:42:04,000
Speaker 1: c C s r MS. It's considerably hard for people

696
00:42:04,040 --> 00:42:06,959
Speaker 1: to realize us on a but you know, and also

697
00:42:07,000 --> 00:42:09,480
Speaker 1: on Twitter as pex brahmas as well. But I'm not

698
00:42:09,600 --> 00:42:11,920
Speaker 1: active on Twitter. So if you want to see me

699
00:42:13,160 --> 00:42:16,480
Speaker 1: do activism work or be at a bookstore, follow me

700
00:42:16,520 --> 00:42:19,800
Speaker 1: on Instagram. There it is there. It is Superducer on

701
00:42:19,880 --> 00:42:23,040
Speaker 1: a hosni. Where can people find you? Follow you? I'm

702
00:42:23,160 --> 00:42:31,960
Speaker 1: just at Anna on Twitter all right, and you guys

703
00:42:32,000 --> 00:42:35,840
Speaker 1: know where to find Miles and I wave won't separate

704
00:42:35,960 --> 00:42:41,120
Speaker 1: me from my phone. Imagine a wave and then my

705
00:42:41,280 --> 00:42:47,600
Speaker 1: hands coming at you your hands, all right? That is

706
00:42:47,640 --> 00:42:50,680
Speaker 1: going to do it for this year. Ender. We are

707
00:42:50,760 --> 00:42:54,080
Speaker 1: back with more podcasts at some point in the future,

708
00:42:54,360 --> 00:42:56,359
Speaker 1: and we will talk to you all then. Bye bye

709
00:43:00,080 --> 00:43:00,120
Speaker 1: f