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Speaker 1: Hello the Internet, and welcome to season eighty two, Episode

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Speaker 1: two of Thursdaily Night Geist, a production of I Heart Radio.

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Speaker 1: This is a podcast where we take a deep dive

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Speaker 1: into America's share consciousness and say, officially, off the top,

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Speaker 1: fuck Coke Industries and fuck Fox Newsics. Tuesday, May fourteen,

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Speaker 1: two thousand nineteen. Names Jack O'Brien aka how Stella got

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Speaker 1: her group Jack courtesy Kelly kittrean ak Rose of the

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Speaker 1: Radical and I'm thrilled to be joined as always by

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Speaker 1: my co host, Mr Miles Gray. Go host Wease the

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Speaker 1: newsy Day That's the Hottest Ekes takes on to the face.

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Speaker 1: The podcast is second read give it up for Miles Ray,

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Speaker 1: Dan Dan Dan Dan Dandy. Okay, so that is to

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Speaker 1: the tune of there she goes by the Lallas? Were

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Speaker 1: they called the la las or the law anyway? That

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Speaker 1: was from Will Kendrick at socol Ge VHS. Oh some

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Speaker 1: Japanese y see the man. Well. We were third to

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Speaker 1: be joined in their third scene by the hilarious and

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Speaker 1: talented Kelly Nugent. Ya. Thanks so much for having me. Guys, Hey,

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Speaker 1: thanks for being here. We're just talking about, you know,

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Speaker 1: growing up in l A. Yeah, you know how that

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Speaker 1: goes about you grew up in Torrance, said, I grew

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Speaker 1: up in Torrance. Yeah, I went to the bad schools,

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Speaker 1: not high Oh what's the good school? And I was

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Speaker 1: where my mom taught. And she was always like, wouldn't

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Speaker 1: it be fun if I taught at year school? And

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Speaker 1: I was like, good have did you ever go to

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Speaker 1: school with like in high school? Did you ever have

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Speaker 1: kids whose parents were teaching at the high Yeah, they

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Speaker 1: had to act like funk. They were an occult. I

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Speaker 1: remember I was like, bro, you are so boring because

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Speaker 1: your mom could be like billy, yeah you wait that

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Speaker 1: to be extra good. You mean, yeah, they just weren't

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Speaker 1: like they I don't know, I feel like they could

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Speaker 1: tell that they had this sort of air of like

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Speaker 1: they had to not embarrass their parents at school because then,

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Speaker 1: like we wouldn't take their mom seriously. Yeah, you you

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Speaker 1: do get like kind of because my mom was super

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Speaker 1: super strict growing up, like crazy strict um And I

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Speaker 1: remember being horrified that people would find out how strict

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Speaker 1: my mom was if she was like at my school.

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Speaker 1: And I remember one time she subbed. This was back

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Speaker 1: when she was subbing. She subbed in my fifth grade

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Speaker 1: class and there's something wrong with her. Afterwards, she's like,

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Speaker 1: you know, and they said that I was pretty strict

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Speaker 1: and I was like, that's not good, mom, cool, I

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Speaker 1: call it discipline. They're going to thank me. Yeah, I

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Speaker 1: had strict parents too, and uh yeah, it's always funny.

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Speaker 1: People are like, what is your dad not cool? I

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Speaker 1: don't know that. I know, I know. All I could

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Speaker 1: do is make sure I'm cool and end the cycle. Yeah,

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Speaker 1: I mean I tried really hard to be cool. It

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Speaker 1: didn't stick per se, right, Like I was way too

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Speaker 1: into wearing like as Merelda on my shirts for like

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Speaker 1: way too long, and like, um, got like Disney hiking

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Speaker 1: boots and would wear would to school. Yeah, so Disney

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Speaker 1: was your person when h is going to break out

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Speaker 1: the emergency hid, I feel like, well, I'm prepared, um,

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Speaker 1: not necessarily just Disney stuff. But like just like people

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Speaker 1: called me like baby ish a lot, like so I

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Speaker 1: like didn't I was just weird. I don't know. I

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Speaker 1: liked the things I liked and yeah, I mean now

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Speaker 1: I'm proud of that, but at the time it was

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Speaker 1: like She's playing dolls in the bathroom and meanwhile, meanwhile,

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Speaker 1: Miles was that getting maced party? That was like my dream.

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Speaker 1: He was the when a party would have been at

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Speaker 1: your high school and then the kids from the other

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Speaker 1: school district would show up. Miles Miles was those kids?

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Speaker 1: Or we would we would we would clock out of

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Speaker 1: school kids real quick at our parties, Like y, who

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Speaker 1: is this all the day from taff Is that moose crew? Okay,

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Speaker 1: we got something. So were you guys like the hotties

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Speaker 1: from another school when you went into the party? Oh?

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Speaker 1: I was the guy in band who say weed but

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Speaker 1: had a razor sharp wit, which is what is the

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Speaker 1: entry to the other parties. Yeah, you're like a jester. Yeah,

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Speaker 1: ship that kids selling his wisdom tooth pain killers ten

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Speaker 1: times over. Bring him in the Tyrian lanister of the

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Speaker 1: Hell Yeah exactly. All right, Well, Kelly, we're going to

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Speaker 1: get to know you a little bit better in a moment. First,

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Speaker 1: we're going to tell our listeners a couple of things

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Speaker 1: we're talking about today. Oh, we're going to talk about

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Speaker 1: all of the fine people who have named their children

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Speaker 1: in the year two thousand eighteen after Game of Thrones characters,

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Speaker 1: and how some of those names have probably taking a

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Speaker 1: dive on the names let's not you know, spoil anything. Well,

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Speaker 1: we'll talk about specifically what happened, but we'll talk about

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Speaker 1: the most popular names, and then we'll respond to the episode.

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Speaker 1: In the third act, we're gonna talk about all millennials

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Speaker 1: and gen xers and boomers having a laugh at gen

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Speaker 1: Z and their response to rotary phones. Yeah, ability to

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Speaker 1: make sense of that. We found a way to, you know,

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Speaker 1: put our differences aside generationally to realize, ye don't know,

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Speaker 1: he's a rotary phone. Shout out to being old. We're

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Speaker 1: going to talk about the fact that they're selling navel

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Speaker 1: cheese of famous people. It's on it's on display. Maybe

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Speaker 1: you could buy when you naval cheese. I'm sorry, I

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Speaker 1: think it's like belly button. Listen. Oh yeah, these aren't

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Speaker 1: these aren't well hold on, well we'll explain it's not

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Speaker 1: just a straight up grit you get out of there

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Speaker 1: after a steam room. Okay, okay, maybe I got it wrong.

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Speaker 1: No you no, it is right. But his bacteria used

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Speaker 1: to culture the milk to then give the cheese its

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Speaker 1: flavor profile. Oh that's even worse. Cool China. We're going

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Speaker 1: to talk about the go fund me for the wall

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Speaker 1: that turns out, wasn't shockingly like like all those email

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Speaker 1: forwards that people who support Trump send you was not

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Speaker 1: totally on the up and up. Then in Act three,

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Speaker 1: we're gonna talk about it being a tough weekend for

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Speaker 1: UH sixers fans and for people who are big Game

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Speaker 1: of Thrones fans, certain people who are big Game of

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Speaker 1: Thrones fans. Uh So we'll we'll talk about all of

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Speaker 1: that and more. But first, Kelly, what is something from

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Speaker 1: your search history that's revealing about who you are? Um?

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Speaker 1: I googled our chastity belts real? Like now? Like or

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Speaker 1: they ever? Where are they? Where are they? Where can

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Speaker 1: I get one? You know what? What did you learn?

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Speaker 1: They're not real? They're not They're not real. That okay,

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Speaker 1: So chastity belts in general are real. They're mostly used

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Speaker 1: for fetish play. But the ones that we see, like

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Speaker 1: the one in um uh is, like the the idea

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Speaker 1: of a of a chastity belt was actually like really

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Speaker 1: similarly used as in that movie as a joke. So

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Speaker 1: basically people would be like, oh, put on your chastity belt,

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Speaker 1: I'm going to war, and women would be like, how

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Speaker 1: you oppressing me? And like let it lie, hope, you're not.

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Speaker 1: I'm gonna everyone. Um so, yeah, they're not like and

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Speaker 1: the ones that you see in like uh you know

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Speaker 1: those like museums of a rock whatever. Yeah. Right, So

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Speaker 1: they're either torture devices or they are devices made for

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Speaker 1: the fruient, which is like people that um it's kind

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Speaker 1: of a derogatory term for people that are like sexually deviant.

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Speaker 1: I guess right. Um, so it's kind of like, um,

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Speaker 1: they were either made for like conversation pieces where like

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Speaker 1: a collector would be like, oh, look at my piece

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Speaker 1: or whatever. But um, all of those were actually made

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Speaker 1: uh in or later and not during medieval times. So

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Speaker 1: that's that's the kind of stuff. I think it's interesting, Like, yeah,

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Speaker 1: there's a lot of things from history are jokes that

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Speaker 1: we just forgot we're jokes. I think we forgot that

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Speaker 1: his Historically people have had humor, Like we're just like, oh,

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Speaker 1: well that how to be real. But sex and humor,

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Speaker 1: I guess we kind of make room for sex. But

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Speaker 1: like there's a like, yeah, I don't think we make

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Speaker 1: a lot of jokes. We we tend to put the

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Speaker 1: little fig leaf over the sex parts. We think it's

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Speaker 1: all uptight people and like in actuality. Puritan society had

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Speaker 1: to have all those rules because people were like fucking

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Speaker 1: everywhere and purious, like in the bushes. You'd be walking

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Speaker 1: down the stream and people would be flicking in the bushes. Uh.

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Speaker 1: And yeah, Napoleon was not short. That was a rumor

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Speaker 1: made to make fun of him. He was average height. Really. Yeah,

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Speaker 1: so it's just like, I feel like a chump. I've

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Speaker 1: been believing this my whole life. Well, you look really

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Speaker 1: ridiculous right now. I'm not gonna lie Internet, who should

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Speaker 1: we release this episodes? I'm going to exercise the clause

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Speaker 1: that says I can explode this episode and we don't

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Speaker 1: have to. Yeah, but I agree people like when you

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Speaker 1: look back at graffiti back in the day, it's all

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Speaker 1: dick jokes and like stuff that could be out of

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Speaker 1: you know, high school locker room now. Yeah, or even

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Speaker 1: like um like people that look back on things in

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Speaker 1: history and try and look at through look at it

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Speaker 1: through super heteronormative lens, whether they're like um oh, like

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Speaker 1: King James had a very best friend that he had

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Speaker 1: a secret like passageway from his bedroom to best friend's bedroom. Yeah, exactly,

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Speaker 1: it was like that for real, And um, I was

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Speaker 1: researching about this, and the King James Bible was actually

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Speaker 1: made because the church was kind of like getting in

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Speaker 1: his business for him being pretty openly gay with his lover,

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Speaker 1: and he was like, here's a fun thing that you

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Speaker 1: can do that, why don't you make a new Bible?

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Speaker 1: And they were like, yeah, what is something you think

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Speaker 1: is overrated? Okay, I think it's really overrated to be

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Speaker 1: an expert on everything, Like there's kind of this. I

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Speaker 1: think it's really cool to say like I don't know sometimes,

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Speaker 1: and I feel like we are so trained to just

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Speaker 1: like make something up to be like, oh, I know everything.

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Speaker 1: I have to be an expert on everything because we

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Speaker 1: live in a world where information so like transferred so

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Speaker 1: quickly and so accessible. But like, ah, that bugs the

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Speaker 1: ship out of me, Like when people just cannot say,

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Speaker 1: you know, I don't know, I don't I don't have

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Speaker 1: enough knowledge about this thing, or like I don't have

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Speaker 1: enough expertise on this thing, so I don't know, and

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Speaker 1: instead it's like I I know everything, I have to

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Speaker 1: know everything. I think that shit is so fucking overrated.

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Speaker 1: So actual wisdom is very in admitting what you don't know. Yeah,

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Speaker 1: because yeah, I think because precisely because I think we're

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Speaker 1: such an information heavy era and everything is so readily

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Speaker 1: available it almost feels like, well, all you have to

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Speaker 1: do is look it up to know, so that we

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Speaker 1: feel like maybe we feel this pressure that like, well

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Speaker 1: then maybe I should know everything because I could find

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Speaker 1: out most things I do. And I think that for me,

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Speaker 1: there's almost kind of I'm a little hypocritical on it

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Speaker 1: because if I'm talking to someone like over text or

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Speaker 1: this was back in the day when I was in

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Speaker 1: law school over g chat, where if you said something

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Speaker 1: and someone didn't know what you were talking about, and

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Speaker 1: they'd be like, what is that typing it into the

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Speaker 1: thing with you? And I'd be like, you can just

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Speaker 1: type that the Google here. Let me move that five

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Speaker 1: inches this window for you. But so I guess like

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Speaker 1: resourcefulness is like important, but like also, if you're not

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Speaker 1: gonna be resourceful about it, don't just make shu it up,

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Speaker 1: just be like I don't know, yeah, totally. Yeah. I

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Speaker 1: I feel like the I mean, the more you learn,

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Speaker 1: the more you realize you don't know and right, And

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Speaker 1: actually I think that that is like Socrates or something

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Speaker 1: like that, like, uh, the wise people know, how dumb

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Speaker 1: they are or something like that. But um, and I

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Speaker 1: mean that even goes to like the fact that you

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Speaker 1: went to law school and like people who get an education.

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Speaker 1: I think a quote I heard about, like why a

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Speaker 1: college education is valuable from somebody is that it actually

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Speaker 1: humbles you, like because you realize because it you have

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Speaker 1: to like know a lot to realize, like that there's

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Speaker 1: just this entire universe of information out there that you

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Speaker 1: do not totally shit about well, Like and even I

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Speaker 1: went to law school and I practiced law for two years,

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Speaker 1: and like that I was bad at being a layer,

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Speaker 1: and like I like learning that and being like, oh,

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Speaker 1: this is just not for me because a I really

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Speaker 1: hate it and be like I'm just not good at

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Speaker 1: this kind of job. Like learning that there are things

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Speaker 1: that you're not good at and that's okay is like,

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Speaker 1: I don't know, I feel like that's as important as

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Speaker 1: learning about it also helps you sort of come in

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Speaker 1: touch with things that are actually like you are good at,

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Speaker 1: so then you can kind of look at those things

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Speaker 1: and like, oh, well, I know I'm not Oh I

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Speaker 1: actually have these other skills. I do feel like people

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Speaker 1: are like the way that conspiracy theories are and I

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Speaker 1: don't know if they're at an all time high, but

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Speaker 1: they're at least as influential as they've ever been. I

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Speaker 1: feel like people now are are more likely to overestimate

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Speaker 1: how much they know than they ever have been. Like,

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Speaker 1: we're really bad at knowing what we don't know as

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Speaker 1: a society, and that's probably a result of the Internet

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Speaker 1: and probably says something about our overall wisdom as a culture. Um, yeah,

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Speaker 1: so we're fucked. Yeah, we're pretty fucked. Let's talk about

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00:14:18,480 --> 00:14:22,160
Speaker 1: because we actually get to see what you're underrated is

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Speaker 1: because you filled it in and it's equally way the subject.

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Speaker 1: What is something you think is underrated? Water Chili Dog,

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Speaker 1: It's so good. Everyone dunks on it for being the

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00:14:37,880 --> 00:14:42,160
Speaker 1: worst fast food chain. Is so good. Help me understand

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Speaker 1: why you love the chili. Its salty and ship like feels.

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Speaker 1: It all becomes like one most people would consider as

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Speaker 1: like medium at best, just scryptions, like not necessarily like

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00:15:02,240 --> 00:15:05,280
Speaker 1: the chili is so salty, it's not like something that

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Speaker 1: immediately commends the chili to somebody, Oh my god, and

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Speaker 1: the cheese congeals, so it's like kind of pressure so

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Speaker 1: high you'll get a bloody nose. Looks like a hoy.

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Speaker 1: I do feel very sick after I eat it. It's true,

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Speaker 1: and like in what way, like just digestively or overall?

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Speaker 1: You have like a malaise that comes over the sodium

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Speaker 1: content makes me have heart palpitations, Like I will feel

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Speaker 1: very like my heart will be racing and I'm just like,

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Speaker 1: what do you have for a drink with that? A

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Speaker 1: sixty four mountain? Yeah? Okay. One of my best friends,

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Speaker 1: one of my best friends is a huge dm D head,

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Speaker 1: and she would go through like caces in college. No, no, no, no,

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Speaker 1: I didn't know her during that time. I know her

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Speaker 1: now works marketing got you equally equally fucked up? Well, no,

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Speaker 1: I think dad, I have been at various times in

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Speaker 1: my life I'm lovering dm D hard. Yeah, when when

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Speaker 1: things get out of controls Uh yeah, But I think

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Speaker 1: the Wiener Schnitzel company has some good pull quotes that

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Speaker 1: they can pull from that section. So we can probably

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Speaker 1: move on to your myth? Uh what is a myth?

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Speaker 1: What's something people think it's true you know to be false. Well,

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Speaker 1: for that, it was the chastity about thing because that's

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Speaker 1: where I discovered, right, how compact your search was my

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00:16:43,120 --> 00:16:48,200
Speaker 1: which alright, busted. We can move on to the poor

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Speaker 1: people who named their children after Game of Thrones characters. Well,

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Speaker 1: I guess before when we talk about this, because some

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00:16:55,400 --> 00:16:59,000
Speaker 1: things could could act as a spoiler, you know what

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Speaker 1: I mean? Yeah, So I guess let's just keep it

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Speaker 1: very clear about what's you know what I don't know? Yeah,

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Speaker 1: Or maybe let's let's move this to the third act.

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Speaker 1: We're going to talk about the Game of Thrones baby

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00:17:09,800 --> 00:17:12,320
Speaker 1: names that we can go in one that that way

283
00:17:12,359 --> 00:17:16,280
Speaker 1: we can really talk about the some of these investments.

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Speaker 1: I'm just going to invest my child's life in the

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Speaker 1: plot of this show and hope that things go well

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Speaker 1: for this character. Let's talk about these gen Z whipper

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00:17:28,680 --> 00:17:31,360
Speaker 1: snappers who don't know. So it's not that they don't

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Speaker 1: know like that they've never used a rotary phone. It's

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Speaker 1: that they don't even know how to like make sense

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Speaker 1: of a rotary well, yeah, because they've never seen a

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Speaker 1: rotary Right. So, there's been like this new trend of video.

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Speaker 1: I've seen a few, and there's one that got really

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Speaker 1: popular over the weekend of just this adult putting a

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Speaker 1: rotary front rotary phone in front of these two young guys,

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Speaker 1: I don't know, maybe late teens or something, and just

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00:17:52,680 --> 00:17:54,800
Speaker 1: gave him a phone number, said, I challenge you to

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Speaker 1: dial this phone number and make a call on this

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Speaker 1: rotary phone. And it's we take for granted, right, do

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Speaker 1: you know how he's rotary phone? Rosary phone? Grace? Can

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00:18:06,280 --> 00:18:10,160
Speaker 1: you come to my place? Yes? Uh so, okay, you're

301
00:18:10,160 --> 00:18:11,960
Speaker 1: know how to use rotary phone. You're good on the

302
00:18:12,040 --> 00:18:14,480
Speaker 1: rotary phone. I think my parents had a rotary phone

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00:18:14,520 --> 00:18:17,000
Speaker 1: when I was like two, Like, I think there was

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00:18:17,040 --> 00:18:18,679
Speaker 1: one around the house. I used to play with one

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00:18:18,720 --> 00:18:20,520
Speaker 1: of my grandma's house. Yeah. See that's how I came

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00:18:20,600 --> 00:18:23,080
Speaker 1: up on it because my grandparents had one. They had

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00:18:23,320 --> 00:18:25,119
Speaker 1: in the late eighties. They were still rocking us. I'm like,

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00:18:26,720 --> 00:18:29,080
Speaker 1: uh and do you know how he's a rotary phone? Okay, okay,

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00:18:29,119 --> 00:18:31,679
Speaker 1: so we're all good. Damn okay, Okay, everybody. When everyone

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Speaker 1: here knows it's going to get hurt from anything, the

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00:18:34,040 --> 00:18:36,640
Speaker 1: youngest person there will be a test where we bring

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00:18:36,680 --> 00:18:38,879
Speaker 1: in the phone. Anyway. So these videos are kind of

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Speaker 1: fun because they're not just sort of like they're not

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00:18:41,400 --> 00:18:43,720
Speaker 1: like you know, a grow like look at you foking idiot.

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Speaker 1: It's just kind of like this kick we get out

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00:18:45,280 --> 00:18:48,640
Speaker 1: of realizing, oh we have these skills from a bygone era,

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00:18:48,920 --> 00:18:51,280
Speaker 1: and technology moves so fast. I just wanted to just

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00:18:51,320 --> 00:18:53,080
Speaker 1: for people who do know how to use use a

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00:18:53,160 --> 00:18:55,880
Speaker 1: rotary phone. If you're old and washed, listen to this

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00:18:56,240 --> 00:18:59,280
Speaker 1: clip because just hearing these two young men trying and

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Speaker 1: figure out the rotary phone is just warms my heart.

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00:19:02,840 --> 00:19:06,800
Speaker 1: So you don't stop at this. Oh the last one

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00:19:09,000 --> 00:19:13,159
Speaker 1: you just successfully dial zero. So if this was zero,

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00:19:14,160 --> 00:19:28,280
Speaker 1: then very all around and then and then like bra okay,

325
00:19:28,280 --> 00:19:31,200
Speaker 1: so you can cut away that that receiver hanging up

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00:19:31,560 --> 00:19:33,760
Speaker 1: is first of all, when they're looking at the phone,

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Speaker 1: they're leaving the receiver on the hook. And then because

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Speaker 1: they think it's like a cell phone, you dial the

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Speaker 1: number and pick it up. So then every time they

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Speaker 1: mess up there like restarted, restarted, you just lift the

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Speaker 1: receiver up and put it back on. They were even

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Speaker 1: confused by the dial top. Yeah. Yeah, Like their other

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00:19:51,600 --> 00:19:53,720
Speaker 1: videos are like they're like, what's the They're like, right,

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Speaker 1: are only using cell phone and they've never listened to

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00:19:56,800 --> 00:20:00,679
Speaker 1: like rap albums from I mean the last ten. But

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00:20:00,720 --> 00:20:02,000
Speaker 1: I think it's one of those things if you're not

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00:20:02,080 --> 00:20:04,520
Speaker 1: quite connecting it experientially. That could just be like an

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00:20:04,520 --> 00:20:10,119
Speaker 1: aesthetic choice or something. Yea, but yeah, it's calling it restarting.

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00:20:10,119 --> 00:20:12,679
Speaker 1: And the way they got the zero, like bringing that

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00:20:12,720 --> 00:20:14,280
Speaker 1: all around, but the other ones they were just kind

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00:20:14,280 --> 00:20:18,639
Speaker 1: of half move like the seven. I think it just

342
00:20:18,800 --> 00:20:21,600
Speaker 1: to go there, and then it's please look up these

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00:20:21,680 --> 00:20:25,680
Speaker 1: videos because there are just so fucking hilarious and it's

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00:20:26,000 --> 00:20:28,600
Speaker 1: like I said, it's innocent fun. As did they get

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00:20:28,680 --> 00:20:30,600
Speaker 1: I didn't watch the whole video to the end. Do

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00:20:30,680 --> 00:20:33,639
Speaker 1: they buy the end? Figure it out? They don't. They

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00:20:33,720 --> 00:20:36,400
Speaker 1: kept getting clues. He's like you you out of zero? Right,

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00:20:36,840 --> 00:20:39,159
Speaker 1: and then they're really like rubbing their chains like no, no,

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00:20:40,200 --> 00:20:43,560
Speaker 1: Like they were like like I don't know the cracking

350
00:20:43,560 --> 00:20:47,560
Speaker 1: a code for something. I was just dialing. Yeah. As

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00:20:47,640 --> 00:20:51,960
Speaker 1: important as it is to learn all that you don't know,

352
00:20:52,200 --> 00:20:55,920
Speaker 1: it's even more fun to learn what other people don't

353
00:20:55,960 --> 00:20:59,080
Speaker 1: know and laugh at them, you know. Well yeah, and

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00:20:59,080 --> 00:21:01,800
Speaker 1: it's just I don't know why it really. I really

355
00:21:01,800 --> 00:21:04,400
Speaker 1: like rotary phones. I think there's something very I think

356
00:21:04,440 --> 00:21:07,760
Speaker 1: just the nostalgia of it reminds me of just simpler times. Yeah,

357
00:21:07,920 --> 00:21:12,080
Speaker 1: there's something like tactile and like nice. It's not great

358
00:21:12,080 --> 00:21:17,959
Speaker 1: an emergency no, like especially when you watch films like

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00:21:18,160 --> 00:21:20,840
Speaker 1: they're like movies that have the rotary phone in an

360
00:21:20,880 --> 00:21:31,640
Speaker 1: emergency suit, Like right, God, why am dialing internationally? Um? Alright,

361
00:21:31,720 --> 00:21:36,840
Speaker 1: let's talk about that celebrity naval cheese and being described.

362
00:21:38,080 --> 00:21:42,120
Speaker 1: I feel like maybe we shouldn't do it. I don't care,

363
00:21:42,440 --> 00:21:47,040
Speaker 1: do it? You ready? Yeah? Alright? There is an exhibit

364
00:21:47,160 --> 00:21:50,679
Speaker 1: called Food Bigger Than the Plate, and it's described as

365
00:21:50,680 --> 00:21:53,600
Speaker 1: a show that quote brings together the politics and pleasure

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00:21:53,600 --> 00:21:55,960
Speaker 1: of food to ask how the collective choices we make

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00:21:56,240 --> 00:22:00,520
Speaker 1: can lead to a more sustainable, just and delicious food future. Now,

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00:22:00,600 --> 00:22:03,720
Speaker 1: one exhibit um in this larger exhibit, or one of

369
00:22:03,760 --> 00:22:06,879
Speaker 1: the pieces in it, is a thing called self made

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00:22:08,600 --> 00:22:12,760
Speaker 1: five big blocks of cheese. And the thing about these

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00:22:12,840 --> 00:22:15,280
Speaker 1: cheeses to the untrained, I don't look like five blocks

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00:22:15,280 --> 00:22:18,639
Speaker 1: of cheese. No, these are made from the bacteria of

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00:22:18,720 --> 00:22:22,000
Speaker 1: celebrities in the UK, from their belly buttons. Okay, and

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00:22:22,040 --> 00:22:26,360
Speaker 1: those people are chef Heston Blumenthal, British rapper Professor Green

375
00:22:27,040 --> 00:22:30,480
Speaker 1: Sugs from Madness, the Great British Baking Shows, Ruby Tando

376
00:22:30,920 --> 00:22:37,399
Speaker 1: and Alex James, the former bassist of Blur. Uh. Interesting

377
00:22:37,440 --> 00:22:42,040
Speaker 1: collection yeah, for us, it's a who's who. Yeah, interesting

378
00:22:42,080 --> 00:22:43,600
Speaker 1: to get ruby and not like one of the house

379
00:22:44,520 --> 00:22:46,639
Speaker 1: so they got so Anyway, the guy from Blurry, I

380
00:22:46,680 --> 00:22:48,280
Speaker 1: guess he's a cheesemaker, so he was kind of like

381
00:22:48,320 --> 00:22:50,760
Speaker 1: into this whole thing. So what they did was what

382
00:22:50,840 --> 00:22:53,960
Speaker 1: they did harnessing the power of microbiology. They had these

383
00:22:54,200 --> 00:22:58,639
Speaker 1: researchers were collecting the bacteria from these celebrities noses, armpits,

384
00:22:58,800 --> 00:23:02,000
Speaker 1: and naval area they're belly button uh, and then from

385
00:23:02,000 --> 00:23:04,240
Speaker 1: there they use a sample to make a starter culture.

386
00:23:04,680 --> 00:23:08,639
Speaker 1: Remember we're talking about starters sss mothers. So now they

387
00:23:08,720 --> 00:23:11,399
Speaker 1: make a starter culture with this bacteria that they then

388
00:23:11,440 --> 00:23:13,840
Speaker 1: combined with the milk or whatever and let that rock

389
00:23:13,880 --> 00:23:17,080
Speaker 1: and then you got your cheese. Um. And so it

390
00:23:17,160 --> 00:23:19,040
Speaker 1: wasn't really the point to be like, oh, it's so delicious,

391
00:23:19,080 --> 00:23:20,760
Speaker 1: but I think just to show people. I think a

392
00:23:20,840 --> 00:23:22,199
Speaker 1: lot of the people who are behind it from the

393
00:23:22,200 --> 00:23:25,280
Speaker 1: research side, is that people have this sort of negative

394
00:23:25,320 --> 00:23:28,600
Speaker 1: idea of bacteria, that all bacteria is bad. And it

395
00:23:28,760 --> 00:23:31,360
Speaker 1: was sort of like no, like, their bacteria is responsible

396
00:23:31,359 --> 00:23:34,400
Speaker 1: for a lot of things that are actually delicious, including

397
00:23:34,480 --> 00:23:38,280
Speaker 1: this blur basis cheddar you're chewing on right now. So, yeah,

398
00:23:38,440 --> 00:23:41,640
Speaker 1: here's the thing. I would probably try it. I'll try Yeah,

399
00:23:41,640 --> 00:23:44,920
Speaker 1: I would try it, but like and knowing that it's

400
00:23:44,960 --> 00:23:47,399
Speaker 1: just like the bacteria which then is used to create

401
00:23:47,440 --> 00:23:50,800
Speaker 1: a culture. Yeah. I I don't know what I thought

402
00:23:50,840 --> 00:23:54,840
Speaker 1: it was, but it's much if you heard the words

403
00:23:55,359 --> 00:23:58,439
Speaker 1: navel cheese, and we're not talking about rations that are

404
00:23:58,440 --> 00:24:01,000
Speaker 1: given out to say brains, you know what I mean.

405
00:24:01,680 --> 00:24:05,480
Speaker 1: You're just thinking of massive accumulation of dead skinner to

406
00:24:05,520 --> 00:24:08,840
Speaker 1: sweat and then turn into a block that you slice

407
00:24:08,840 --> 00:24:13,720
Speaker 1: and then eat deliciously. Why what would you eat? A

408
00:24:13,800 --> 00:24:21,760
Speaker 1: jacket doesn't bother me. I would probably try Ruby from

409
00:24:21,800 --> 00:24:28,720
Speaker 1: the Great British Baking Shows whatever she's she produced, Yes,

410
00:24:29,040 --> 00:24:33,240
Speaker 1: because she is the only person who's who I'm vaguely

411
00:24:33,320 --> 00:24:35,920
Speaker 1: familiar with what she does. So I mean I feel

412
00:24:35,920 --> 00:24:40,120
Speaker 1: like I can trust her navel uh nose, so inside

413
00:24:40,160 --> 00:24:43,280
Speaker 1: their nose. That's interesting. Yeah, So it's it's more than

414
00:24:43,400 --> 00:24:45,520
Speaker 1: I guess, it's really more than just your belly button.

415
00:24:45,560 --> 00:24:49,119
Speaker 1: I mean, it's not in bo your belly button and

416
00:24:49,200 --> 00:24:52,600
Speaker 1: now turn into a cheese. I mean, because you're even

417
00:24:52,640 --> 00:24:55,879
Speaker 1: with me when she is, I like, stinky fu. I

418
00:24:55,920 --> 00:24:57,760
Speaker 1: want to I want to eat a fucking petty zu

419
00:24:59,320 --> 00:25:02,280
Speaker 1: like hurt me. Also, like you know, like when you

420
00:25:02,320 --> 00:25:06,240
Speaker 1: think about where that bacteria comes from, anyway, where does it?

421
00:25:06,359 --> 00:25:09,480
Speaker 1: We don't know, Like bacteria is tiny. If let's just say,

422
00:25:09,520 --> 00:25:14,920
Speaker 1: like you just buy some like whatever Sargento or something like,

423
00:25:15,040 --> 00:25:18,880
Speaker 1: you don't know where that like the original Like I'm sure, look,

424
00:25:19,520 --> 00:25:22,439
Speaker 1: if you're cheesemongers, please tell us what the origins of

425
00:25:22,520 --> 00:25:25,160
Speaker 1: cheese bacteria are, because we're a show where we admit

426
00:25:25,320 --> 00:25:28,000
Speaker 1: we don't know a fucking thing. True, So if led

427
00:25:28,000 --> 00:25:30,320
Speaker 1: my mentions because thank you to all the coffee gang

428
00:25:30,359 --> 00:25:32,800
Speaker 1: that came out when we were doing and ground versus

429
00:25:32,800 --> 00:25:37,760
Speaker 1: electric ground. Electric ground burns the beans, guys, whereas hand

430
00:25:37,800 --> 00:25:40,760
Speaker 1: ground it like just kind of grinds them up. No

431
00:25:40,880 --> 00:25:45,720
Speaker 1: heat transfer, the oil is still there. For the few

432
00:25:45,720 --> 00:25:48,200
Speaker 1: people who are like very polite about it, they're like, look,

433
00:25:48,240 --> 00:25:50,040
Speaker 1: if you're not if you don't have a palette for

434
00:25:50,240 --> 00:25:52,159
Speaker 1: like really your cove, like it really doesn't matter. But

435
00:25:52,200 --> 00:25:55,399
Speaker 1: if you're dealing with morrisidic like nicer ship, then you

436
00:25:55,480 --> 00:25:57,600
Speaker 1: might like that. But I get the zen part to

437
00:25:57,720 --> 00:25:59,920
Speaker 1: a lot of people said, it's the zen aspect of

438
00:26:00,960 --> 00:26:06,840
Speaker 1: thirty Revolutions every morning like they're poor over so that's

439
00:26:06,840 --> 00:26:09,840
Speaker 1: a d and thirty like turns around the thing to

440
00:26:09,920 --> 00:26:12,520
Speaker 1: get one pour over is worth of coffee. So they're

441
00:26:12,720 --> 00:26:15,280
Speaker 1: grinding the ship out of that. That's a good has

442
00:26:15,280 --> 00:26:19,320
Speaker 1: a lot of work that I do not have the

443
00:26:19,359 --> 00:26:21,840
Speaker 1: calmness of mine. And it wasn't until I was rolling

444
00:26:21,880 --> 00:26:24,520
Speaker 1: a blunt over the weekend that I realized, oh right,

445
00:26:25,000 --> 00:26:26,679
Speaker 1: I don't like pre roll ship. I like to do

446
00:26:26,720 --> 00:26:29,920
Speaker 1: it myself because there's a meditative aspect. YE had a

447
00:26:29,960 --> 00:26:32,240
Speaker 1: pursuing precision roll and get in the nice shape to

448
00:26:32,280 --> 00:26:35,160
Speaker 1: it and steals so you know what to the handground gang,

449
00:26:35,480 --> 00:26:37,320
Speaker 1: I salute you, but it's not for me because I

450
00:26:37,359 --> 00:26:40,080
Speaker 1: don't know enough about coffee. Alright, we're gonna take a

451
00:26:40,200 --> 00:26:52,800
Speaker 1: quick break and we'll be right back. And we're back,

452
00:26:53,480 --> 00:26:58,520
Speaker 1: and it's time for Miles to explain the trade wars.

453
00:26:58,560 --> 00:27:01,879
Speaker 1: I do not well, I mean, I don't get it.

454
00:27:01,960 --> 00:27:08,560
Speaker 1: There's there isn't I mean. Okay, So China announced sixty

455
00:27:08,560 --> 00:27:11,600
Speaker 1: billion dollars in new tariffs on US goods, you know,

456
00:27:11,680 --> 00:27:15,200
Speaker 1: retaliatory tariffs because Trump uped him last week. That's a

457
00:27:15,240 --> 00:27:18,280
Speaker 1: big figure number. And because of that, through the US

458
00:27:18,359 --> 00:27:20,680
Speaker 1: markets off the dal like lost like six hundred points,

459
00:27:21,480 --> 00:27:24,560
Speaker 1: just like that. Um, And most people are like, what

460
00:27:24,640 --> 00:27:27,639
Speaker 1: the fuck is who is this helping? Exactly because all

461
00:27:27,680 --> 00:27:30,439
Speaker 1: the time, if you believe the President, he's out here saying, oh,

462
00:27:30,440 --> 00:27:33,040
Speaker 1: you're gonna love it China, China has given us billions

463
00:27:33,040 --> 00:27:35,679
Speaker 1: of dollars directly to our pockets. We're getting so much

464
00:27:35,720 --> 00:27:37,680
Speaker 1: money off this deal, you're gonna love it. So it

465
00:27:37,840 --> 00:27:41,240
Speaker 1: seems fake, well right, because that's that wasn't Trump. That

466
00:27:41,320 --> 00:27:44,040
Speaker 1: was Myles doing a Trump impressure thank you. Yes, oh

467
00:27:44,119 --> 00:27:47,399
Speaker 1: see I thought he was here. Yeah. No, It's just

468
00:27:47,440 --> 00:27:52,920
Speaker 1: gets confusing sometimes, that's how good. So when you look

469
00:27:52,960 --> 00:27:54,760
Speaker 1: at the actual way the tariffs work, you know, like

470
00:27:54,800 --> 00:27:57,320
Speaker 1: this idea that somehow he's just saying like, China cut

471
00:27:57,320 --> 00:28:00,359
Speaker 1: me a check for fifty billion dollars and they were like, okay,

472
00:28:00,840 --> 00:28:04,360
Speaker 1: that's the way he's describing it. But really the tariffs

473
00:28:04,359 --> 00:28:07,640
Speaker 1: are placed on the goods that are imported from China,

474
00:28:08,000 --> 00:28:10,280
Speaker 1: even goods that are made by United States companies that

475
00:28:10,320 --> 00:28:13,120
Speaker 1: are manufacturing over there. That just means that the it's

476
00:28:13,160 --> 00:28:15,280
Speaker 1: the importers who have to pay the money on that,

477
00:28:15,359 --> 00:28:17,320
Speaker 1: not China there, you know. If so, it's if it's

478
00:28:17,359 --> 00:28:20,719
Speaker 1: Costco and you want your chicken bakes, they're gonna be like,

479
00:28:20,720 --> 00:28:22,440
Speaker 1: oh my man, these are from you know whatever, I'll

480
00:28:22,440 --> 00:28:24,119
Speaker 1: probably come from China. They're saying, well, this is the

481
00:28:24,160 --> 00:28:26,800
Speaker 1: tax COSTCO has to pay to bring this into the country,

482
00:28:27,359 --> 00:28:30,240
Speaker 1: not not the check the Chinese government saying, oh, we'll

483
00:28:30,240 --> 00:28:32,480
Speaker 1: give you this money to get our goods into your markets.

484
00:28:32,680 --> 00:28:35,840
Speaker 1: That's what the importers are paying. And then those taxes

485
00:28:35,880 --> 00:28:39,320
Speaker 1: are like that that markup on the goods eventually trickles

486
00:28:39,360 --> 00:28:41,440
Speaker 1: down to the consumer because they raised the prices to

487
00:28:41,520 --> 00:28:43,960
Speaker 1: offset the taxes they have to pay to bring in

488
00:28:44,000 --> 00:28:46,400
Speaker 1: the goods into the market. For example, I try to

489
00:28:46,400 --> 00:28:49,320
Speaker 1: buy a new sink recently, and I've found like some

490
00:28:49,440 --> 00:28:51,440
Speaker 1: you know, like off brand ship. You know. I spent

491
00:28:51,520 --> 00:28:53,320
Speaker 1: a lot of money because it looked good. It was

492
00:28:53,320 --> 00:28:55,720
Speaker 1: coming from China. On one day they said it was

493
00:28:55,760 --> 00:28:58,240
Speaker 1: one price. When I came in there, it's like gone

494
00:28:58,320 --> 00:29:00,280
Speaker 1: up thirty percent. And I said, yo, I just to you,

495
00:29:00,280 --> 00:29:02,720
Speaker 1: And They're like, the fucking tariffs we have to pay

496
00:29:02,760 --> 00:29:05,000
Speaker 1: to bring it in. And I'm like hitting our own

497
00:29:05,040 --> 00:29:08,160
Speaker 1: miles in the pocket, right in the pocket. So I'm

498
00:29:08,200 --> 00:29:11,680
Speaker 1: now I'm bathing out of a bucket because you're bathed

499
00:29:11,680 --> 00:29:14,560
Speaker 1: in the sink? Yeah, what do you mean? It's very

500
00:29:14,600 --> 00:29:18,560
Speaker 1: like movie? Do you that sink to bathe in? Yeah? Yeah,

501
00:29:18,960 --> 00:29:21,480
Speaker 1: you mean the bathtub? Yeah, I don't know. I was

502
00:29:21,560 --> 00:29:26,840
Speaker 1: raised calling that the giant sink. Yeah yeah. And then

503
00:29:28,760 --> 00:29:35,080
Speaker 1: that's the face washing, flash it up and then you

504
00:29:35,120 --> 00:29:40,959
Speaker 1: rest your head in that little hoop. But anyway, so

505
00:29:40,960 --> 00:29:43,600
Speaker 1: so again, for for people to even believe that this

506
00:29:43,640 --> 00:29:48,400
Speaker 1: is somehow meaning that China's cutting America check is absurd, preposterous, mendacious,

507
00:29:48,440 --> 00:29:50,320
Speaker 1: and his terrible is not true. That's just how he's

508
00:29:50,320 --> 00:29:52,120
Speaker 1: spinning it to get people to believe that this is

509
00:29:52,160 --> 00:29:54,920
Speaker 1: something good. And when you look at who it's hitting,

510
00:29:55,240 --> 00:30:00,280
Speaker 1: it's hitting consumers and especially rural areas fucking hard, which

511
00:30:00,320 --> 00:30:02,640
Speaker 1: brings me more to kind of why I'm talking about

512
00:30:02,640 --> 00:30:05,960
Speaker 1: the trade wars ship is because it's hitting the his

513
00:30:06,120 --> 00:30:09,440
Speaker 1: voting block of rural voters very very hard. And when

514
00:30:09,440 --> 00:30:12,000
Speaker 1: you sort of look at how how sort of loyal

515
00:30:12,040 --> 00:30:14,880
Speaker 1: they are as Trump voters to this president. His you know,

516
00:30:14,960 --> 00:30:18,800
Speaker 1: his approval ratings are always positive, especially in rural rural areas,

517
00:30:19,200 --> 00:30:21,600
Speaker 1: and you look at the policies he's enacting, they are

518
00:30:21,680 --> 00:30:25,760
Speaker 1: like existential threats to these areas, um and so like

519
00:30:26,080 --> 00:30:29,400
Speaker 1: for okay, so when we look at even soybean farmers, right,

520
00:30:29,600 --> 00:30:31,600
Speaker 1: a lot of their exports are going to China, but

521
00:30:31,720 --> 00:30:33,840
Speaker 1: that I want to put because China is like, oh

522
00:30:33,880 --> 00:30:35,600
Speaker 1: you want to you wanna bang in some trade wars.

523
00:30:35,640 --> 00:30:37,600
Speaker 1: How want to cut you off? We're not exporting, We're

524
00:30:37,600 --> 00:30:42,640
Speaker 1: not importing anymore of your your agricultural goods. Um. And

525
00:30:42,680 --> 00:30:45,440
Speaker 1: then also even things like I mean, so that has

526
00:30:45,440 --> 00:30:48,160
Speaker 1: had a knock on effect. There's like record bankruptcy, farm

527
00:30:48,200 --> 00:30:50,760
Speaker 1: bankruptcy is right now, and all the export numbers are

528
00:30:50,800 --> 00:30:54,440
Speaker 1: just plummeting for these farmers. So then Trump is trying

529
00:30:54,480 --> 00:30:57,080
Speaker 1: to offset that damage that he's done with the trade

530
00:30:57,120 --> 00:31:00,600
Speaker 1: wars by now act by floating this another their proposal

531
00:31:00,720 --> 00:31:03,680
Speaker 1: to get fifteen billion dollars in subsidies to help the

532
00:31:03,720 --> 00:31:06,480
Speaker 1: farmers who were struggling. Right, So it's like, you created

533
00:31:06,480 --> 00:31:09,440
Speaker 1: this fucking problem that the consumers are even paying for

534
00:31:09,640 --> 00:31:12,680
Speaker 1: through these higher prices on consumer goods, and then now

535
00:31:12,720 --> 00:31:15,280
Speaker 1: the taxpayer is going to pay the fifteen billion dollar

536
00:31:15,600 --> 00:31:18,880
Speaker 1: subsidy bill that's going to help farmers based on your

537
00:31:18,920 --> 00:31:23,520
Speaker 1: own part, Like it's just we're self owning constantly. Uh,

538
00:31:23,520 --> 00:31:26,120
Speaker 1: and it's just this really, really terrible cycle. I mean

539
00:31:26,120 --> 00:31:29,320
Speaker 1: it sort of ties back to what we learned about

540
00:31:29,360 --> 00:31:32,360
Speaker 1: Trump last week when The New York Times got access

541
00:31:32,400 --> 00:31:36,920
Speaker 1: to those ten consecutive years of tax returns, that he

542
00:31:37,280 --> 00:31:41,560
Speaker 1: was really good at the politics of it, of making

543
00:31:41,560 --> 00:31:43,440
Speaker 1: a big splash and getting his name out there and

544
00:31:43,480 --> 00:31:48,760
Speaker 1: convincing people using his pr strategy of just flooding the zone. Uh,

545
00:31:48,800 --> 00:31:53,480
Speaker 1: that he's a rich person. Well, but he was historically

546
00:31:53,840 --> 00:32:00,200
Speaker 1: bad actually having any effect on markets or understand ding

547
00:32:00,240 --> 00:32:04,680
Speaker 1: of market economy. Uh, you know, the his understanding of

548
00:32:04,720 --> 00:32:08,120
Speaker 1: this that you would just you know, put the money on,

549
00:32:08,880 --> 00:32:11,640
Speaker 1: like put the money there and it would go like

550
00:32:11,680 --> 00:32:15,200
Speaker 1: we would start getting the money. Just fundamentally misunderstands like

551
00:32:15,280 --> 00:32:19,800
Speaker 1: how the economy works. But it seems like maybe he's

552
00:32:19,840 --> 00:32:23,280
Speaker 1: always had that misunderstanding. I think he always has, right,

553
00:32:23,480 --> 00:32:27,000
Speaker 1: I mean, because he lost more money than anyone, like

554
00:32:27,200 --> 00:32:31,080
Speaker 1: any business part. He's the worst business person in the world.

555
00:32:31,160 --> 00:32:33,840
Speaker 1: And even when Gary Cohen was running with like on

556
00:32:33,920 --> 00:32:36,040
Speaker 1: the working with him, he was like, what the fund

557
00:32:36,120 --> 00:32:38,320
Speaker 1: is This guy doesn't even understand like the stock market.

558
00:32:38,560 --> 00:32:40,760
Speaker 1: It's like, yo, I gotta go, bro, I'm trying to

559
00:32:40,840 --> 00:32:42,600
Speaker 1: I'm trying to rape and pillage the earth with my

560
00:32:42,640 --> 00:32:46,000
Speaker 1: corporato and you're not doing it right. Yeah. Like the

561
00:32:46,000 --> 00:32:48,680
Speaker 1: other thing too, is these rural areas. Again, like I say,

562
00:32:48,800 --> 00:32:51,120
Speaker 1: there are so many things that are happening right now,

563
00:32:51,240 --> 00:32:54,200
Speaker 1: especially like a lot of rural communities are contracting because

564
00:32:54,200 --> 00:32:57,000
Speaker 1: there's a lot of outmigration and a lot of automation

565
00:32:57,040 --> 00:33:00,600
Speaker 1: and these other things have just caused, uh, these industries

566
00:33:00,640 --> 00:33:03,800
Speaker 1: to shrink. And there's been no viable, like economic plan

567
00:33:03,920 --> 00:33:07,800
Speaker 1: B for these areas. So they're just slowly, slowly withering away.

568
00:33:08,120 --> 00:33:12,520
Speaker 1: And yet those voters are becoming very like are amongst

569
00:33:12,520 --> 00:33:15,040
Speaker 1: his more vocal supporters, and they're the people who buy

570
00:33:15,040 --> 00:33:18,240
Speaker 1: into this ship like oh, it's immigrants who are using

571
00:33:18,320 --> 00:33:21,400
Speaker 1: up all the federal aid culture, yeah, or it's they're

572
00:33:21,440 --> 00:33:23,760
Speaker 1: the reason why like this farming community is dying, or

573
00:33:23,800 --> 00:33:27,000
Speaker 1: my area is not prospering. And again, just look at

574
00:33:27,000 --> 00:33:30,800
Speaker 1: all the policies, right, even the tax cut that Trump enacted.

575
00:33:30,880 --> 00:33:32,360
Speaker 1: A lot of people like, oh yeah, hell yeah, this

576
00:33:32,400 --> 00:33:37,160
Speaker 1: is great, great for everybody, But the Agricultural Department recently

577
00:33:37,200 --> 00:33:40,520
Speaker 1: had a bunch of economists leave because they're like, we

578
00:33:40,560 --> 00:33:43,440
Speaker 1: feel like we're being punished for actually analyzing the policies,

579
00:33:43,480 --> 00:33:45,760
Speaker 1: and you're getting mad because we're saying they're doing damage

580
00:33:45,800 --> 00:33:47,719
Speaker 1: to the economy. Like there was an up, like a

581
00:33:47,840 --> 00:33:50,160
Speaker 1: just a walk out basically of like the thinkers of

582
00:33:50,200 --> 00:33:54,560
Speaker 1: the Agricultural Department. Anyway, those same economists, they were saying, like, look,

583
00:33:55,280 --> 00:33:57,040
Speaker 1: which is one of the reasons why they got uh

584
00:33:57,320 --> 00:33:59,760
Speaker 1: they were sort of pressured to leave or just more

585
00:34:00,000 --> 00:34:01,920
Speaker 1: you know, we're on the receiving end of their anger.

586
00:34:02,560 --> 00:34:04,560
Speaker 1: Was showing that when it came to those tax reductions,

587
00:34:04,600 --> 00:34:07,000
Speaker 1: most of those benefits went to the richest ten percent

588
00:34:07,080 --> 00:34:09,640
Speaker 1: of farms, and when most of the poor farmers are

589
00:34:09,680 --> 00:34:12,840
Speaker 1: actually struggling, they saw a slight increase in their taxes.

590
00:34:13,400 --> 00:34:16,600
Speaker 1: So even then you're looking like, yo, that doesn't help me. Okay,

591
00:34:16,640 --> 00:34:18,600
Speaker 1: what about these other things, like when you talk about

592
00:34:18,640 --> 00:34:21,080
Speaker 1: all the safety net programs that Trump is trying to slash,

593
00:34:21,080 --> 00:34:23,879
Speaker 1: like fighting back against Medicare, Medicaid expansion, and things like that,

594
00:34:24,239 --> 00:34:27,600
Speaker 1: those are programs that rural communities rely very heavily on,

595
00:34:27,920 --> 00:34:30,600
Speaker 1: and like eighty five of the top hundred counties who

596
00:34:30,680 --> 00:34:33,719
Speaker 1: receive food stamps are in rural areas, so they are

597
00:34:33,760 --> 00:34:36,960
Speaker 1: the recipients of this aid that they've so desperately need,

598
00:34:36,960 --> 00:34:40,280
Speaker 1: but are buying up this narrative that Messi's brown peoples,

599
00:34:40,280 --> 00:34:43,239
Speaker 1: he's welfware, welfare quacks. It's a combination of so many things, right.

600
00:34:43,280 --> 00:34:46,000
Speaker 1: It's like, first of all, he's selling this idea of

601
00:34:46,040 --> 00:34:48,319
Speaker 1: like the American dream and that he's done it and

602
00:34:48,320 --> 00:34:51,000
Speaker 1: that he's a quote self made billionaire or whatever. And

603
00:34:51,040 --> 00:34:53,960
Speaker 1: then that kind of you tell these people like, hey,

604
00:34:54,000 --> 00:34:57,080
Speaker 1: you can be like me, even though I'm actively making

605
00:34:57,080 --> 00:35:00,160
Speaker 1: it so that you will never be quote like me,

606
00:35:00,160 --> 00:35:02,400
Speaker 1: even though I'm not even that successful whatever. Um So

607
00:35:02,440 --> 00:35:04,239
Speaker 1: it's like that, and then it's like that's like the

608
00:35:04,280 --> 00:35:06,759
Speaker 1: carrot and then the stick is like, oh but you

609
00:35:06,800 --> 00:35:10,719
Speaker 1: know these brown people are you know, fucking you over? Um?

610
00:35:10,800 --> 00:35:14,160
Speaker 1: And uh really it's me the one who's woking you over,

611
00:35:14,239 --> 00:35:15,520
Speaker 1: like I said, because you will never be able to

612
00:35:15,560 --> 00:35:18,080
Speaker 1: be like me. Um. So it's kind of it's just

613
00:35:18,120 --> 00:35:23,080
Speaker 1: like it's this poisonous fucking cycle that's just getting worse

614
00:35:23,120 --> 00:35:26,279
Speaker 1: every day. But it's like the precisely that's sort of

615
00:35:26,320 --> 00:35:29,000
Speaker 1: like late stage capitalism thing where people are like I

616
00:35:29,400 --> 00:35:31,920
Speaker 1: think this is going fine, and I'm not actually Look,

617
00:35:32,200 --> 00:35:36,600
Speaker 1: I'm actually completely unaware that corporate entities are at the

618
00:35:36,719 --> 00:35:39,760
Speaker 1: levels of power at every level of government, and everything

619
00:35:39,880 --> 00:35:42,400
Speaker 1: is done to either privatize or take away these safety

620
00:35:42,400 --> 00:35:45,840
Speaker 1: net programs to essentially create more profits for the private

621
00:35:45,880 --> 00:35:50,400
Speaker 1: sector and create more capital. Who who would have predicted

622
00:35:50,480 --> 00:35:55,200
Speaker 1: that somebody who ran a Ponzi scheme of the university

623
00:35:55,200 --> 00:35:59,040
Speaker 1: that like scammed pour people out of money, would by

624
00:35:59,160 --> 00:36:03,400
Speaker 1: promising them the American Dream would be a bad president

625
00:36:03,680 --> 00:36:05,319
Speaker 1: would be bad at this sort of thing. Well, and

626
00:36:05,320 --> 00:36:09,320
Speaker 1: it's interesting because now you know, eventually, like we always

627
00:36:09,320 --> 00:36:11,960
Speaker 1: talk about how reality will end up at their doorstep

628
00:36:11,960 --> 00:36:15,640
Speaker 1: where you realize, oh, like I'm totally fucked now. But

629
00:36:15,680 --> 00:36:17,560
Speaker 1: at that point, it's gonna be too late for everybody

630
00:36:17,640 --> 00:36:20,600
Speaker 1: to get these people to realize like what's actually happening.

631
00:36:20,640 --> 00:36:22,680
Speaker 1: But it's interesting when you look at there was a

632
00:36:22,719 --> 00:36:25,319
Speaker 1: focus group that was happening in Sioux City, Iowa of

633
00:36:25,400 --> 00:36:28,640
Speaker 1: Obama Trump voters. People who voted for Obama then Trump,

634
00:36:29,000 --> 00:36:31,080
Speaker 1: like all but one of the people in this focus

635
00:36:31,160 --> 00:36:33,200
Speaker 1: group said they would have if they were over they

636
00:36:33,239 --> 00:36:35,960
Speaker 1: would have voted for Hillary. But then on top of it,

637
00:36:36,200 --> 00:36:39,400
Speaker 1: they were pointing to things that were policy points, like

638
00:36:39,440 --> 00:36:42,640
Speaker 1: Elizabeth Warrener Bernie Sanders type policies that they really liked.

639
00:36:43,280 --> 00:36:45,120
Speaker 1: But when they were saying, like if they were asked

640
00:36:45,160 --> 00:36:46,960
Speaker 1: about the Democrats who were talking about it, they were

641
00:36:47,000 --> 00:36:48,919
Speaker 1: like put off a little bit. But they were pointing

642
00:36:49,280 --> 00:36:52,840
Speaker 1: very very progressive things like why aren't we taxing big banks,

643
00:36:54,120 --> 00:36:56,359
Speaker 1: like and they're making money off of us? Or eight

644
00:36:56,400 --> 00:36:57,959
Speaker 1: out of the eleven people that were in this group,

645
00:36:58,000 --> 00:37:00,480
Speaker 1: we're saying like they knew somebody or they themselves are

646
00:37:00,480 --> 00:37:03,080
Speaker 1: struggling with debt or student debt and it was having

647
00:37:03,080 --> 00:37:05,720
Speaker 1: a very negative impact. There's something we need debt relief

648
00:37:05,920 --> 00:37:09,080
Speaker 1: in these in these areas. So it's it's one of

649
00:37:09,120 --> 00:37:12,640
Speaker 1: those things where I mean, the master manipulator Trump could

650
00:37:12,680 --> 00:37:14,080
Speaker 1: come in and get these voters to be like, hey,

651
00:37:14,080 --> 00:37:15,840
Speaker 1: I want to do some about student debt or whatever,

652
00:37:16,239 --> 00:37:18,680
Speaker 1: you know, and like we we saw how you know,

653
00:37:18,840 --> 00:37:21,200
Speaker 1: he was such a champion for the people as he

654
00:37:21,200 --> 00:37:24,000
Speaker 1: took office. Um, but also like a way you know,

655
00:37:24,120 --> 00:37:27,160
Speaker 1: but they're we're starting to see those those needs become

656
00:37:27,320 --> 00:37:30,600
Speaker 1: come to the forefront of a lot of these voters priorities. UM.

657
00:37:30,680 --> 00:37:34,319
Speaker 1: So you know, it's interesting to watch that evolve. But

658
00:37:34,560 --> 00:37:37,239
Speaker 1: do they have any specific complaints about Elizabeth Warren and

659
00:37:37,239 --> 00:37:40,840
Speaker 1: Bernie Sanders, or they're just like, we just don't like her. Last,

660
00:37:40,960 --> 00:37:42,200
Speaker 1: is that what they think? They're just like, oh, I

661
00:37:42,239 --> 00:37:44,520
Speaker 1: don't like They just well some didn't know any like

662
00:37:44,560 --> 00:37:46,200
Speaker 1: the only people they had heard of that were even

663
00:37:46,280 --> 00:37:49,160
Speaker 1: running were Joe Biden, Bernie Sanders, and Elizabeth Warren. And

664
00:37:49,160 --> 00:37:52,120
Speaker 1: then from there they just sort of had that partisan thing.

665
00:37:52,120 --> 00:37:54,000
Speaker 1: I don't think that no one was actually quite putting

666
00:37:54,000 --> 00:37:56,560
Speaker 1: their finger on it. They didn't just weren't feeling it

667
00:37:56,960 --> 00:37:59,560
Speaker 1: because it was coming from a Democrat, although they're describing

668
00:37:59,560 --> 00:38:03,040
Speaker 1: the polo sees of a lot of the candidates. That's crazy. Yeah.

669
00:38:03,239 --> 00:38:05,720
Speaker 1: And then now, how much does partisanship? I mean, obviously

670
00:38:05,719 --> 00:38:08,760
Speaker 1: partisan politics has played a huge role, but I wonder

671
00:38:08,800 --> 00:38:10,920
Speaker 1: at what point do people begin to just take the

672
00:38:10,920 --> 00:38:12,719
Speaker 1: policies for what they are and say, like, I would

673
00:38:12,719 --> 00:38:16,040
Speaker 1: actually benefit directly from that, and that doesn't make me

674
00:38:16,880 --> 00:38:24,239
Speaker 1: cock or whatever your derogatory term of choice. Well, you

675
00:38:24,320 --> 00:38:29,399
Speaker 1: know the yeah, yeah, yeah, Well should we talk more

676
00:38:29,440 --> 00:38:33,200
Speaker 1: about people on the right just getting hoodwinked? All right?

677
00:38:33,400 --> 00:38:37,160
Speaker 1: So there was this on a smaller scale, basically the

678
00:38:37,200 --> 00:38:39,200
Speaker 1: same thing. On a smaller scale. There was a go

679
00:38:39,320 --> 00:38:44,239
Speaker 1: fund me to build the wall. Uh, and it was

680
00:38:45,120 --> 00:38:47,160
Speaker 1: you know, it was a big deal at the time.

681
00:38:47,200 --> 00:38:49,960
Speaker 1: It was when you know, obstruction as Democrats were blocking

682
00:38:50,000 --> 00:38:53,000
Speaker 1: Trump from being able to build his wall and save

683
00:38:53,120 --> 00:38:57,439
Speaker 1: America when there was a giant caravan coming to take

684
00:38:57,480 --> 00:39:02,000
Speaker 1: our kids away? Are you reading one of my old tweets? Um?

685
00:39:02,080 --> 00:39:06,880
Speaker 1: And it turns out that this thing that was, you know,

686
00:39:07,520 --> 00:39:11,120
Speaker 1: basically exploiting what was already a lie meant to exploit

687
00:39:11,840 --> 00:39:18,719
Speaker 1: people's highly agitated and emotional state, was totally legitimate and uh,

688
00:39:18,760 --> 00:39:20,600
Speaker 1: we should all be investing money in it. I mean,

689
00:39:20,640 --> 00:39:24,160
Speaker 1: they raised twenty million dollars damn in this around December

690
00:39:24,200 --> 00:39:26,280
Speaker 1: when the thing launched, and everyone's like, oh my god,

691
00:39:26,320 --> 00:39:28,839
Speaker 1: so how are their financials looking on that project? Look?

692
00:39:29,719 --> 00:39:31,640
Speaker 1: First up, I just want to say this had to

693
00:39:31,719 --> 00:39:34,440
Speaker 1: me look like bullshit from the beginning. And I think

694
00:39:34,480 --> 00:39:36,680
Speaker 1: most people who weren't straight up trump as You're like, yeah,

695
00:39:36,719 --> 00:39:38,919
Speaker 1: you're gonna give your money to some private company who's

696
00:39:38,960 --> 00:39:42,480
Speaker 1: gonna build on federal land. Yeah. And by the way,

697
00:39:42,520 --> 00:39:45,759
Speaker 1: the left falls for bullshit like this time. So I

698
00:39:45,800 --> 00:39:49,359
Speaker 1: don't want to make it seem like idiots, especially. All

699
00:39:49,400 --> 00:39:54,759
Speaker 1: I'm saying is I'm the smartest motherfucker ever I saw him,

700
00:39:55,080 --> 00:39:57,239
Speaker 1: and I also I'm waiting for my gift because I

701
00:39:57,239 --> 00:40:02,200
Speaker 1: did donate at the one level I want to. I

702
00:40:02,280 --> 00:40:04,719
Speaker 1: just scratched my name in one of the bricks, but

703
00:40:04,840 --> 00:40:10,239
Speaker 1: you have to scratched the ground breaking. But anyway, but

704
00:40:10,239 --> 00:40:12,600
Speaker 1: it had all the things that would draw in a

705
00:40:12,640 --> 00:40:16,120
Speaker 1: lot of gullible conservatives who were so heavily invested in

706
00:40:16,120 --> 00:40:18,440
Speaker 1: this idea of the wall, like you had, like the

707
00:40:18,480 --> 00:40:21,319
Speaker 1: dimensions of it were an appeal to the rights, love

708
00:40:21,320 --> 00:40:25,359
Speaker 1: of xenophobia. You had the pone the fucking libs who

709
00:40:25,440 --> 00:40:28,480
Speaker 1: said the wall couldn't or shouldn't be built. Now you're like, oh, yeah,

710
00:40:28,480 --> 00:40:32,000
Speaker 1: I'm putting money so it gets built. Fucking guy. And

711
00:40:32,040 --> 00:40:36,400
Speaker 1: then notable board members like Steve Bannon, Eric Blackwater, Prints

712
00:40:36,960 --> 00:40:42,120
Speaker 1: Sheriff Clark, Chris Kobak, and even Kurt Shilling. So it

713
00:40:42,239 --> 00:40:44,880
Speaker 1: had everybody and the man behind it, right is this

714
00:40:45,120 --> 00:40:48,400
Speaker 1: triple amputee war veteran by the name of Brian cole Fage.

715
00:40:48,800 --> 00:40:53,160
Speaker 1: And again just looking at the stats, has no experience

716
00:40:53,200 --> 00:40:57,000
Speaker 1: in construction project of this side or even logistical projects

717
00:40:57,040 --> 00:41:00,640
Speaker 1: of this size. He has also been caught for cheating

718
00:41:00,640 --> 00:41:04,320
Speaker 1: people out of like donating to sham veterans charities that

719
00:41:04,360 --> 00:41:06,160
Speaker 1: are really just going to him. Yeah, but when you

720
00:41:06,160 --> 00:41:09,000
Speaker 1: read the opening paragraph of the build a Wall website,

721
00:41:09,239 --> 00:41:12,839
Speaker 1: you really understand why many of these people were taken in.

722
00:41:12,920 --> 00:41:15,960
Speaker 1: Let's let's just let's go through. My name is Brian

723
00:41:16,000 --> 00:41:19,200
Speaker 1: cole Page. I have a verified Blue check Facebook page

724
00:41:19,280 --> 00:41:22,000
Speaker 1: as a public figure, and I'm a purple Heart recipient,

725
00:41:22,040 --> 00:41:25,480
Speaker 1: triple amput veteran boom. I believe this person, right, I

726
00:41:25,560 --> 00:41:29,960
Speaker 1: have a verified page. Uh. Like a majority of those

727
00:41:30,000 --> 00:41:33,160
Speaker 1: American citizens who voted to elect President Donald J. Trump,

728
00:41:33,200 --> 00:41:37,479
Speaker 1: we voted for him to make America great again. Well,

729
00:41:37,520 --> 00:41:43,360
Speaker 1: he he capitalized the maga. President Trump's main campaign promise

730
00:41:43,440 --> 00:41:48,360
Speaker 1: was to build the wall. Were all castle, And as

731
00:41:48,440 --> 00:41:51,319
Speaker 1: he's followed through on just about every promise so far,

732
00:41:51,480 --> 00:41:55,200
Speaker 1: this wall project needs to be completed still. So he

733
00:41:55,239 --> 00:41:57,840
Speaker 1: starts out by saying, and as he's followed through on

734
00:41:57,960 --> 00:42:01,279
Speaker 1: just about every promise so far, wall project needs to

735
00:42:01,280 --> 00:42:06,880
Speaker 1: be completed still. Okay, literature, Okay, Well, now here's what

736
00:42:06,920 --> 00:42:10,360
Speaker 1: I'm gonna say. Yeah, I do feel like and as

737
00:42:10,880 --> 00:42:13,879
Speaker 1: we would think that, he would then say, the wall

738
00:42:13,920 --> 00:42:18,040
Speaker 1: has also been finished, right right? Okay? Oh that was

739
00:42:18,080 --> 00:42:23,960
Speaker 1: your impression of me being on your side? What I'm

740
00:42:24,000 --> 00:42:29,080
Speaker 1: gonna sir next, as a veteran who has given so

741
00:42:29,160 --> 00:42:32,360
Speaker 1: much three limbs, thank you for your service. I don't

742
00:42:32,480 --> 00:42:34,920
Speaker 1: begrudge him that at all. I feel deeply invested to

743
00:42:35,000 --> 00:42:38,560
Speaker 1: this nation to ensure future generations have everything we have today.

744
00:42:38,880 --> 00:42:42,279
Speaker 1: Too many Americans have been murdered by illegal aliens, and

745
00:42:42,360 --> 00:42:44,960
Speaker 1: too many illegals are taking advantage of the United States

746
00:42:45,000 --> 00:42:49,040
Speaker 1: taxpayers with no means of ever contributing to our society.

747
00:42:49,120 --> 00:42:53,719
Speaker 1: There's that myth, baby, it's them, Yeah, it's them. It's

748
00:42:53,800 --> 00:42:57,839
Speaker 1: them people, yeah, especially to the Recently The New York

749
00:42:57,840 --> 00:42:59,759
Speaker 1: Times has put out of really in depth study about

750
00:42:59,760 --> 00:43:03,640
Speaker 1: how illegal immigrants are not the cause of increased crime,

751
00:43:03,800 --> 00:43:07,200
Speaker 1: Like whatsoever? Illegal immigrants are like some of the most

752
00:43:07,280 --> 00:43:10,040
Speaker 1: law abiding people in our country. And even if it's

753
00:43:10,080 --> 00:43:12,360
Speaker 1: I mean, sadly the New York Times, so no conservatively

754
00:43:12,360 --> 00:43:14,799
Speaker 1: be like, yeah, okay, the failing, the failing New York

755
00:43:14,800 --> 00:43:18,440
Speaker 1: Times just pulled up some data that's been verified by

756
00:43:18,440 --> 00:43:23,719
Speaker 1: the lan from Okay, yeah, anyway, so right there it is.

757
00:43:23,880 --> 00:43:28,880
Speaker 1: He has a blue check Facebook page. I trust him enough, said, yeah, okay,

758
00:43:28,880 --> 00:43:31,600
Speaker 1: where do I somebody don't even say anything else, alarm bells,

759
00:43:31,600 --> 00:43:34,640
Speaker 1: no or anybody. Okay. But so anyway, when when they

760
00:43:34,719 --> 00:43:37,200
Speaker 1: raised that twenty million, even when you looked at the

761
00:43:37,200 --> 00:43:38,800
Speaker 1: go fund me thing the way it was described, he

762
00:43:38,840 --> 00:43:42,759
Speaker 1: said his quote, highly experienced team is highly confident that

763
00:43:42,800 --> 00:43:45,919
Speaker 1: we can complete significant segments of the wall in less

764
00:43:45,960 --> 00:43:48,239
Speaker 1: time and for less money than the federal government while

765
00:43:48,239 --> 00:43:52,680
Speaker 1: meeting or exceeding all required regulatory, engineering and environmental specifications.

766
00:43:53,680 --> 00:43:56,920
Speaker 1: That sounds highly suspicious. Yeah, I mean, that's there's so

767
00:43:56,920 --> 00:44:02,239
Speaker 1: many questions. It's just like, how how do you think that? Well? Right,

768
00:44:02,280 --> 00:44:04,880
Speaker 1: But even if you ask the next logical question is, okay,

769
00:44:04,920 --> 00:44:08,360
Speaker 1: so what parts are y'all? When people are asking specificalies

770
00:44:08,400 --> 00:44:11,280
Speaker 1: like oh, you know, I can't really say because the LIBS,

771
00:44:11,320 --> 00:44:12,759
Speaker 1: the A c L. You were going to just like

772
00:44:12,800 --> 00:44:16,879
Speaker 1: find out ruin everything, And it's like okay. And then

773
00:44:16,880 --> 00:44:18,719
Speaker 1: even it's like, oh, we're looking at parts in Arizona,

774
00:44:18,800 --> 00:44:20,799
Speaker 1: Like there are people in Arizona who pointed out even

775
00:44:20,800 --> 00:44:22,160
Speaker 1: in the on the right, they're like, but a lot

776
00:44:22,200 --> 00:44:25,960
Speaker 1: of this land is federally owned, so like how this

777
00:44:26,040 --> 00:44:28,839
Speaker 1: isn't private land or just building on So you're still

778
00:44:28,920 --> 00:44:34,120
Speaker 1: gonna like how Yeah, you would have to buy land

779
00:44:34,520 --> 00:44:38,759
Speaker 1: right to build on that lawfully. Yeah, unless like the

780
00:44:38,760 --> 00:44:41,239
Speaker 1: government is contracting with you. But but I don't think

781
00:44:41,280 --> 00:44:45,279
Speaker 1: they are not. I don't think people are like that,

782
00:44:46,080 --> 00:44:48,080
Speaker 1: you know. And yet he has not done it yet,

783
00:44:48,200 --> 00:44:51,840
Speaker 1: right as yet, as he has completed all of these

784
00:44:52,120 --> 00:44:54,680
Speaker 1: every promise so far, this wall project needs to be completed.

785
00:44:54,719 --> 00:44:59,520
Speaker 1: Still Still I love when people have finished still still,

786
00:44:59,520 --> 00:45:03,799
Speaker 1: it's great conversational. Um. So, yeah, we're in May. They

787
00:45:03,800 --> 00:45:06,400
Speaker 1: said they were going to probably break ground in April.

788
00:45:07,360 --> 00:45:08,919
Speaker 1: He went on the radio because they're like, hey, people

789
00:45:08,920 --> 00:45:11,319
Speaker 1: are getting ansty this thing happened in December. We haven't

790
00:45:11,360 --> 00:45:15,839
Speaker 1: heard anything. Oh yeah April, April, April. We're in May now, uh,

791
00:45:15,880 --> 00:45:18,480
Speaker 1: and like these reports are coming up to like, yeah,

792
00:45:18,520 --> 00:45:21,920
Speaker 1: what happened here? My man? Where is he? I wonder?

793
00:45:22,400 --> 00:45:24,439
Speaker 1: I don't know. I think he's laughing his ass off

794
00:45:24,480 --> 00:45:28,360
Speaker 1: with twenty million dollars. It still insists that it's gonna happen.

795
00:45:28,400 --> 00:45:31,240
Speaker 1: It's gonna happen. But you know, I mean it builds

796
00:45:31,280 --> 00:45:35,239
Speaker 1: on a myth that I grew up with, like as

797
00:45:35,280 --> 00:45:40,000
Speaker 1: a person who can remember like part of the Cold War,

798
00:45:40,239 --> 00:45:43,680
Speaker 1: that anything that has like bureaucracy involved. So the government,

799
00:45:43,880 --> 00:45:49,080
Speaker 1: anything that's government based is going to be completely inherently inefficient.

800
00:45:49,239 --> 00:45:51,520
Speaker 1: And if you just give the money to private sector people,

801
00:45:51,800 --> 00:45:53,720
Speaker 1: they're going to be able to do it really easily.

802
00:45:54,040 --> 00:45:57,240
Speaker 1: And I've like very recently, like within the past ten years,

803
00:45:57,280 --> 00:46:00,759
Speaker 1: only started like kind of getting under the skin of

804
00:46:00,800 --> 00:46:04,040
Speaker 1: that myth and realizing, oh, that's actually not true. Like

805
00:46:04,120 --> 00:46:08,879
Speaker 1: a lot of really valuable works of progress have come

806
00:46:08,960 --> 00:46:12,759
Speaker 1: out of government programs, like more than have come out

807
00:46:12,760 --> 00:46:17,000
Speaker 1: of the private sector. So um like bladlining, but it right,

808
00:46:17,160 --> 00:46:21,319
Speaker 1: exactly my favorite one. You brought up my favorite. But

809
00:46:21,360 --> 00:46:23,160
Speaker 1: I guess you know, there's also just an example of

810
00:46:23,160 --> 00:46:25,880
Speaker 1: how desperate a lot of Trump voters are in general,

811
00:46:25,960 --> 00:46:30,600
Speaker 1: Like they're chasing this like all sparkly, pearly white future

812
00:46:30,640 --> 00:46:33,160
Speaker 1: by any means, and I guess that even means hitching

813
00:46:33,160 --> 00:46:37,759
Speaker 1: your wagon to this fantasy of this this wall. Well,

814
00:46:37,760 --> 00:46:41,120
Speaker 1: it's just it's such a it's such a natural like

815
00:46:41,280 --> 00:46:44,520
Speaker 1: continuation of of what got people even voting for Trump

816
00:46:44,560 --> 00:46:48,560
Speaker 1: in the first place, which is just like vague pronouncements

817
00:46:48,560 --> 00:46:50,960
Speaker 1: of like I'm going to make things better and like

818
00:46:51,320 --> 00:46:55,200
Speaker 1: mothering and then nothing right and people just being like well,

819
00:46:55,239 --> 00:46:56,880
Speaker 1: I'll get on board with that, because you're going to

820
00:46:56,920 --> 00:46:58,879
Speaker 1: make America great again and you're gonna build a wall

821
00:46:58,920 --> 00:47:02,880
Speaker 1: and whatever. So build the wall, build a bear. I

822
00:47:02,920 --> 00:47:06,759
Speaker 1: do wonder if he's going to continue to be able

823
00:47:06,800 --> 00:47:11,880
Speaker 1: to do that with like there being no results in election.

824
00:47:12,040 --> 00:47:13,520
Speaker 1: I don't know. That's would be a weird one. It's

825
00:47:13,520 --> 00:47:15,840
Speaker 1: going to be interesting that the wall ship's die. He

826
00:47:15,880 --> 00:47:18,160
Speaker 1: hasn't really talked about that in it. Yeah. I feel

827
00:47:18,160 --> 00:47:20,799
Speaker 1: like he's kind of let that simmeran in the back.

828
00:47:20,880 --> 00:47:23,479
Speaker 1: He's like, I can't really talk. I never forgot about

829
00:47:23,480 --> 00:47:27,120
Speaker 1: that one, hoping that it just disappears in the air. Yeah,

830
00:47:27,160 --> 00:47:30,359
Speaker 1: all right, we're gonna take another break and we'll be back.

831
00:47:40,880 --> 00:47:47,319
Speaker 1: And we're back and uh shit the Sixers. Oh I

832
00:47:47,320 --> 00:47:51,080
Speaker 1: thought you had an accident. Yeah, everyone's got to leave

833
00:47:51,080 --> 00:47:58,360
Speaker 1: the room until um tough weekend. Uh what happened for

834
00:47:58,400 --> 00:48:02,560
Speaker 1: the So. I think a lot of people who follow

835
00:48:02,640 --> 00:48:08,560
Speaker 1: sports probably watched Game seven of the Eastern Conference second

836
00:48:08,680 --> 00:48:11,120
Speaker 1: round to see who was going to go to the

837
00:48:11,120 --> 00:48:14,560
Speaker 1: Eastern Conference Finals and play Milwaukee. I've mentioned on the

838
00:48:14,560 --> 00:48:18,040
Speaker 1: show before, my dad is a coach for the Sixers.

839
00:48:18,120 --> 00:48:22,600
Speaker 1: He's on the bench. Uh, he's not starting sits on

840
00:48:22,640 --> 00:48:26,160
Speaker 1: the bench much shorter than Joe l Embiid, but not

841
00:48:26,239 --> 00:48:29,080
Speaker 1: as short as you think based on seeing him next

842
00:48:29,120 --> 00:48:31,839
Speaker 1: to the seven foot tall people all the time. Most people,

843
00:48:32,320 --> 00:48:43,279
Speaker 1: most people think my dad's short, short Napoleon, Um, he's

844
00:48:43,360 --> 00:48:49,520
Speaker 1: laid back and tall. But yeah, so this was a

845
00:48:49,680 --> 00:48:53,719
Speaker 1: terrible loss, and uh yeah, it's for people who for

846
00:48:53,760 --> 00:48:55,600
Speaker 1: the uninitiated or people who just don't give a funk

847
00:48:55,640 --> 00:48:59,319
Speaker 1: about it. At the NBA, what happened was very, very

848
00:48:59,560 --> 00:49:03,440
Speaker 1: heartbreaking to watch. I I'm not invested in the series whatsoever,

849
00:49:03,560 --> 00:49:06,040
Speaker 1: aside from just knowing the stress that Jack goes through

850
00:49:06,080 --> 00:49:08,360
Speaker 1: whenever the Sixers are playing on any given day. In

851
00:49:08,360 --> 00:49:11,120
Speaker 1: the posting, yeah, you have many rituals. You don't like

852
00:49:11,160 --> 00:49:14,040
Speaker 1: to watch games live. I do not need to watch.

853
00:49:14,200 --> 00:49:16,960
Speaker 1: So I started these playoffs. This is something that I

854
00:49:17,040 --> 00:49:20,279
Speaker 1: just started doing these playoffs. But they lost game one

855
00:49:20,320 --> 00:49:24,240
Speaker 1: of their first round series and played so badly that

856
00:49:24,360 --> 00:49:29,000
Speaker 1: I was like like literally depressed for like a day,

857
00:49:29,080 --> 00:49:32,759
Speaker 1: and so I started just not watching the games. I

858
00:49:32,800 --> 00:49:39,720
Speaker 1: haven't even told my family this, but it's kind of yeah. Yeah,

859
00:49:39,760 --> 00:49:42,480
Speaker 1: but like I don't know, I didn't want to be

860
00:49:42,560 --> 00:49:46,000
Speaker 1: like a shitty person to be around based on the

861
00:49:46,040 --> 00:49:48,320
Speaker 1: outcome of a game when I have like two kids,

862
00:49:48,960 --> 00:49:50,879
Speaker 1: you know, a three year old and a one year old,

863
00:49:50,880 --> 00:49:53,320
Speaker 1: Like that's not fair to them. So anyways, I started

864
00:49:53,400 --> 00:49:55,880
Speaker 1: just checking the score after the game was over, like

865
00:49:55,960 --> 00:49:59,520
Speaker 1: just doing something tunnel vision during the games, and uh,

866
00:50:00,040 --> 00:50:02,320
Speaker 1: and then if they won, I would watch the replay,

867
00:50:02,320 --> 00:50:04,920
Speaker 1: and if they lost, I would not put myself through

868
00:50:05,719 --> 00:50:10,200
Speaker 1: the bullshit. And anyways, as a lot to say, I

869
00:50:10,239 --> 00:50:14,480
Speaker 1: decided Sunday was a game to watch live. Uh tough,

870
00:50:15,040 --> 00:50:19,280
Speaker 1: tough one. It's actually not. I'm glad I watched it live,

871
00:50:19,360 --> 00:50:24,200
Speaker 1: even though the ending was a complete gut punch because

872
00:50:25,239 --> 00:50:27,480
Speaker 1: Dagger might be the last time we get to see

873
00:50:27,600 --> 00:50:31,279
Speaker 1: these guys play together because the Sixers are I don't

874
00:50:31,280 --> 00:50:34,320
Speaker 1: want to get into lakes specifics of players, but anyways,

875
00:50:34,400 --> 00:50:38,319
Speaker 1: it's just a it's probably the closest I've been to

876
00:50:38,400 --> 00:50:42,600
Speaker 1: a big Zeitgeist team moment. And uh, yeah, I can't

877
00:50:42,640 --> 00:50:46,800
Speaker 1: really talk knowledgely about it because well, we'll say this.

878
00:50:47,560 --> 00:50:52,480
Speaker 1: It was game seven tall okay, just really laid back,

879
00:50:53,840 --> 00:50:58,400
Speaker 1: really cool. Uh, it was Game seven winner goes to

880
00:50:58,480 --> 00:51:03,200
Speaker 1: the Eastern Conference Finals, Tide game seconds left and you're like,

881
00:51:03,360 --> 00:51:08,960
Speaker 1: this might go to overtime and Kawhi Leonard he I

882
00:51:09,000 --> 00:51:11,319
Speaker 1: think it was the very first game seven buzzer beater

883
00:51:11,840 --> 00:51:14,400
Speaker 1: uh in the postseason, right, I think I think it

884
00:51:14,400 --> 00:51:16,279
Speaker 1: has that distinction. It's one of the first game seven

885
00:51:16,280 --> 00:51:18,080
Speaker 1: buzzer beaters. I might be wrong in fact check me

886
00:51:18,080 --> 00:51:21,600
Speaker 1: on that probably the first that bounced five times on

887
00:51:21,640 --> 00:51:24,040
Speaker 1: the rim before going in. And it was a very

888
00:51:24,160 --> 00:51:28,200
Speaker 1: tense moment because oh damn, like this is a good game,

889
00:51:28,520 --> 00:51:29,800
Speaker 1: and I was like, yeah, maybe Jacks, I don't know

890
00:51:29,840 --> 00:51:32,040
Speaker 1: if he's watching, and then I saw the shot. It

891
00:51:32,120 --> 00:51:36,239
Speaker 1: was it was like bouncing for like felt like minutes. Yeah, yeah,

892
00:51:36,600 --> 00:51:39,000
Speaker 1: enough that even like Joel Embid went out of bounds,

893
00:51:39,040 --> 00:51:41,080
Speaker 1: he had time to like reset his feet and then

894
00:51:41,200 --> 00:51:45,799
Speaker 1: Peter come back in is it going in? And it does?

895
00:51:46,000 --> 00:51:48,560
Speaker 1: And look if you don't, we'll just get We'll cut

896
00:51:48,600 --> 00:51:51,760
Speaker 1: to the night for the fun part, okay, because obviously

897
00:51:51,800 --> 00:51:53,680
Speaker 1: it was a moment where everyone was like in disbelief,

898
00:51:53,760 --> 00:51:56,839
Speaker 1: they can't believe he's done it. But the commentary from

899
00:51:56,880 --> 00:51:59,719
Speaker 1: the Korean broadcast is by far one of the most

900
00:51:59,800 --> 00:52:02,000
Speaker 1: entered jetting versions, and even if you didn't see it,

901
00:52:02,040 --> 00:52:03,759
Speaker 1: you can tell from their voices what's happening. So just

902
00:52:04,120 --> 00:52:07,120
Speaker 1: envisioned and in bounce play a shot thrown up and

903
00:52:07,120 --> 00:52:09,560
Speaker 1: it's bouncing, bouncing, bouncing, bouncing. The buzzer goes off and

904
00:52:09,600 --> 00:52:16,840
Speaker 1: then it drops. So listen to the Korean commentary. Ind

905
00:52:34,600 --> 00:52:40,920
Speaker 1: so take that elation and flip flip that it's your

906
00:52:42,239 --> 00:52:44,520
Speaker 1: Let's talk about somebody else who had a bad Sunday.

907
00:52:44,760 --> 00:52:47,560
Speaker 1: Let's talk about people who Okay, so we're gonna do

908
00:52:47,640 --> 00:52:50,640
Speaker 1: some spoilers here, Yeah, we're talking. Look, if you're gonna

909
00:52:50,680 --> 00:52:54,200
Speaker 1: thrown spoilers coming, uh, this is your warning. I'll give

910
00:52:54,239 --> 00:52:58,080
Speaker 1: you time. If you're exercising, someone gets your thing, skip it, posit, whatever.

911
00:52:58,400 --> 00:53:00,080
Speaker 1: But if you're ready to go in, it's time to

912
00:53:00,160 --> 00:53:03,960
Speaker 1: go in five four three two all right, And we're

913
00:53:03,960 --> 00:53:07,920
Speaker 1: gonna talk about somebody who had a bad Sunday also,

914
00:53:08,000 --> 00:53:11,840
Speaker 1: and that's anybody who named their daughter Kalisi. Uh. In

915
00:53:11,880 --> 00:53:15,759
Speaker 1: two thousand, eighteen, there five and sixties such people in

916
00:53:16,200 --> 00:53:22,239
Speaker 1: America from the Social Security from Social Security Uh Kalisi

917
00:53:23,040 --> 00:53:28,560
Speaker 1: went off in in not a good way. Uh yeah, well,

918
00:53:28,560 --> 00:53:30,520
Speaker 1: I guess first let's just talk about the names, because

919
00:53:30,560 --> 00:53:32,719
Speaker 1: I think it's an interesting story. Apparently this has been

920
00:53:32,760 --> 00:53:35,799
Speaker 1: a trend that has been like upwardly trending since two

921
00:53:35,840 --> 00:53:39,440
Speaker 1: thousand fourteen. Steady Game of Thrones character names George or

922
00:53:39,560 --> 00:53:42,799
Speaker 1: Martin is good at making up fake names. Yeah, fantastic.

923
00:53:43,000 --> 00:53:45,560
Speaker 1: The highest one is Aria, but they note that that

924
00:53:45,640 --> 00:53:47,959
Speaker 1: is a name used internationally, so that's not that doesn't

925
00:53:48,160 --> 00:53:51,240
Speaker 1: count two, right, Like there, I've known people named Area

926
00:53:51,320 --> 00:53:54,080
Speaker 1: before that, and yeah, right, so then it's the next

927
00:53:54,120 --> 00:53:57,560
Speaker 1: most popular name is Kalis five hundred sixty children. That

928
00:53:57,680 --> 00:53:59,920
Speaker 1: is a fucking weird name. That is a weird name.

929
00:54:00,080 --> 00:54:02,120
Speaker 1: It's a pretty name, like those are. I think those

930
00:54:02,160 --> 00:54:05,600
Speaker 1: are pretty combinations, pretty sounds. You know why I hear

931
00:54:05,800 --> 00:54:09,080
Speaker 1: in racky in my mind? Yeah you don't. I don't

932
00:54:09,080 --> 00:54:11,359
Speaker 1: think like a Western or Western rosie version of like

933
00:54:11,480 --> 00:54:18,319
Speaker 1: kalisils you don't like that, Um but I yeah, it's

934
00:54:18,400 --> 00:54:22,520
Speaker 1: just a lot of chips to put on a character

935
00:54:22,680 --> 00:54:24,920
Speaker 1: in a show that is not complete. That's what I

936
00:54:24,960 --> 00:54:27,040
Speaker 1: was just gonna say, Like, if you're going to name

937
00:54:27,080 --> 00:54:29,440
Speaker 1: your kid after somebody in a show, wait until the

938
00:54:29,440 --> 00:54:33,320
Speaker 1: show is over. You don't know. And these people aggressively

939
00:54:33,320 --> 00:54:35,560
Speaker 1: did not know you, No, they did not know. Just

940
00:54:35,600 --> 00:54:37,880
Speaker 1: a few other ones. Yarro was the next most popular,

941
00:54:37,880 --> 00:54:42,359
Speaker 1: and I like that four, then Leanna then denies. There's

942
00:54:42,360 --> 00:54:44,360
Speaker 1: a pretty steep fall of Leona has three in the nineteen.

943
00:54:44,360 --> 00:54:46,040
Speaker 1: Then the next closest one is Denarius with a hundred

944
00:54:46,080 --> 00:54:50,879
Speaker 1: sixty three denaries. I can I can see that more

945
00:54:50,920 --> 00:54:54,080
Speaker 1: than you see if I can see Denarius more than Yeah,

946
00:54:54,160 --> 00:54:56,600
Speaker 1: Denari sounds like kind of like a fly name. And

947
00:54:56,640 --> 00:55:00,640
Speaker 1: also because Kalisi is not her name, it's queen. So

948
00:55:00,760 --> 00:55:03,480
Speaker 1: to me, I'm like, I don't, I don't know. To me,

949
00:55:03,560 --> 00:55:06,360
Speaker 1: that's not after a made up character like this is

950
00:55:06,360 --> 00:55:11,359
Speaker 1: my son, King Cooper. It's like it's like naming your

951
00:55:11,360 --> 00:55:14,400
Speaker 1: son like King of the North or something that's very

952
00:55:14,400 --> 00:55:16,440
Speaker 1: well a couple of people. I'm just going down to

953
00:55:16,440 --> 00:55:18,480
Speaker 1: the some of the lesser names. Someone named their kid

954
00:55:18,520 --> 00:55:23,399
Speaker 1: Benjin yea be. Yeah, that's not a good name, no

955
00:55:23,440 --> 00:55:25,880
Speaker 1: matter how you look at that, unless you have unless

956
00:55:25,920 --> 00:55:27,960
Speaker 1: like your mother's name is Jennifer and your father's name

957
00:55:28,000 --> 00:55:31,960
Speaker 1: is ben Ben. I don't know. It sounds like the

958
00:55:31,960 --> 00:55:34,960
Speaker 1: most the very most egotistical naming you could do that. Well,

959
00:55:35,000 --> 00:55:38,200
Speaker 1: you know, she didn't want Junior, right, so we did

960
00:55:38,280 --> 00:55:42,040
Speaker 1: ben Jen. And nobody uses our celeb like couple of mans.

961
00:55:42,200 --> 00:55:43,719
Speaker 1: So we're going to try and get that way of

962
00:55:43,800 --> 00:55:48,200
Speaker 1: started by naming them Ben Jen my name is Ben McCaffrey.

963
00:55:48,520 --> 00:55:52,640
Speaker 1: She's Jennifer Saunders. I think there's almost from absolutely fabulous.

964
00:55:53,520 --> 00:55:56,600
Speaker 1: I think there's only some of these names that you

965
00:55:56,640 --> 00:56:00,160
Speaker 1: can guarantee are a result of Game of Thrones, or

966
00:56:00,200 --> 00:56:02,480
Speaker 1: at least that the parents can't then come in and

967
00:56:02,520 --> 00:56:05,399
Speaker 1: be like no, no, no, it's a it's a family name,

968
00:56:05,719 --> 00:56:10,960
Speaker 1: or it's you know, we decided to spell Caitlin Catlin

969
00:56:11,440 --> 00:56:13,880
Speaker 1: because you know, he's already something white people do all

970
00:56:13,920 --> 00:56:19,400
Speaker 1: the time, which is like, take an Irish name and yeah, yeah.

971
00:56:18,680 --> 00:56:21,759
Speaker 1: I think Calisi is when you just can't get you're

972
00:56:21,760 --> 00:56:26,960
Speaker 1: from right that I feel like you can't Tyrian, how

973
00:56:26,960 --> 00:56:36,239
Speaker 1: many tis so Jora? Yeah is kind of specific. Yeah,

974
00:56:36,360 --> 00:56:38,760
Speaker 1: but anyway, I guess. Look, so now let's just get

975
00:56:38,880 --> 00:56:42,200
Speaker 1: what happened in the show. So we like what we saw,

976
00:56:42,760 --> 00:56:46,880
Speaker 1: I don't let's go around. I think the reaction has

977
00:56:46,920 --> 00:56:51,799
Speaker 1: been extremely like negative in a way that I'm not

978
00:56:51,920 --> 00:56:54,640
Speaker 1: on board. But so I'm like annoyed by the reaction

979
00:56:55,480 --> 00:56:59,520
Speaker 1: to the episode, like because I think people are confusing

980
00:57:00,200 --> 00:57:04,200
Speaker 1: an unpleasant turn of events in a show that specializes

981
00:57:04,239 --> 00:57:10,080
Speaker 1: in those with being bad writing, like people are mad.

982
00:57:10,120 --> 00:57:12,600
Speaker 1: Like I saw a tweet where somebody was like, wait,

983
00:57:12,800 --> 00:57:15,719
Speaker 1: so I refused to believe the writing is so bad

984
00:57:15,760 --> 00:57:17,840
Speaker 1: that they let Searcy die in the arms of a

985
00:57:17,880 --> 00:57:20,440
Speaker 1: loved one after all that build up, and it's like,

986
00:57:20,640 --> 00:57:23,440
Speaker 1: I don't think that's bad writing. That's like giving the

987
00:57:23,560 --> 00:57:28,040
Speaker 1: characters not necessarily the deaths they deserved, and like we've

988
00:57:28,760 --> 00:57:32,520
Speaker 1: found that deserve is not what like you don't get

989
00:57:32,560 --> 00:57:34,680
Speaker 1: what you deserve in the Game of Thrones universe. And

990
00:57:34,760 --> 00:57:36,840
Speaker 1: like the more they got away from that and the

991
00:57:36,880 --> 00:57:40,520
Speaker 1: more it was like about like creating these heroic arcs,

992
00:57:40,680 --> 00:57:43,840
Speaker 1: the less I was on board with the show. So

993
00:57:44,400 --> 00:57:47,120
Speaker 1: the fact that they then took a character that people

994
00:57:47,480 --> 00:57:52,280
Speaker 1: were you know, standing and like rooting for and you know,

995
00:57:52,600 --> 00:57:56,440
Speaker 1: had her just kind of go insane. Uh. I like

996
00:57:56,760 --> 00:58:00,400
Speaker 1: that they went dark with it. Uh. You know, then

997
00:58:00,440 --> 00:58:02,720
Speaker 1: we can talk about like whether it was earned or not.

998
00:58:03,000 --> 00:58:05,640
Speaker 1: And I know there's a lot of controversy on that.

999
00:58:06,600 --> 00:58:10,000
Speaker 1: How do you feel killing I? Um, how do you feel?

1000
00:58:10,360 --> 00:58:13,240
Speaker 1: Thanks much for asking? Um, there's tissues right there, Oh,

1001
00:58:13,240 --> 00:58:19,680
Speaker 1: thank you, there really are. I feel like people I

1002
00:58:19,680 --> 00:58:22,480
Speaker 1: am trying to not cry. I feel like people that

1003
00:58:22,520 --> 00:58:25,640
Speaker 1: were like oh, Danny was never like I can't believe

1004
00:58:25,680 --> 00:58:30,040
Speaker 1: that she is doing this. First of all, I'm like,

1005
00:58:30,360 --> 00:58:33,400
Speaker 1: have you not been watching the damn show's been burning people.

1006
00:58:33,520 --> 00:58:35,520
Speaker 1: She's been burning people up from the get go. And

1007
00:58:35,560 --> 00:58:38,040
Speaker 1: here's the other thing, like I do agree, I don't.

1008
00:58:38,040 --> 00:58:42,200
Speaker 1: I don't know, all right, So people that say that

1009
00:58:42,280 --> 00:58:45,000
Speaker 1: there's no there's no reason that she should be the

1010
00:58:45,040 --> 00:58:47,200
Speaker 1: mad Queen, I feel like I haven't been watching the

1011
00:58:47,240 --> 00:58:52,680
Speaker 1: show because she has been someone who is rageful and

1012
00:58:52,840 --> 00:58:55,240
Speaker 1: angry and burns her enemies. It's just that she's always

1013
00:58:55,280 --> 00:58:56,919
Speaker 1: been right, and we've always agreed with her up until

1014
00:58:56,920 --> 00:59:02,280
Speaker 1: this point. So she, yes, did she creates like miles

1015
00:59:02,280 --> 00:59:06,360
Speaker 1: and miles long road filled with the crucified corpses of slavers, Yes,

1016
00:59:07,160 --> 00:59:09,640
Speaker 1: but we agreed with her Slavers and we agreed with

1017
00:59:09,680 --> 00:59:15,200
Speaker 1: her Um and then up until this point she has

1018
00:59:15,200 --> 00:59:18,440
Speaker 1: been Basically she's still kind of right, and that people

1019
00:59:18,440 --> 00:59:23,800
Speaker 1: are betraying her. Arris betrayed her, um John essentially betrayed her.

1020
00:59:23,840 --> 00:59:27,120
Speaker 1: She feels completely alone, and she still feels that she

1021
00:59:27,360 --> 00:59:30,240
Speaker 1: is the rightful ruler. And I feel like, even in

1022
00:59:30,240 --> 00:59:32,200
Speaker 1: the world of Game of Thrones, a person that's like

1023
00:59:32,320 --> 00:59:35,560
Speaker 1: I Am the Destined Ruler is kind of fucked up,

1024
00:59:36,440 --> 00:59:39,600
Speaker 1: and I think you can still like her because she

1025
00:59:40,040 --> 00:59:42,200
Speaker 1: up until this point. You can still say, oh, well,

1026
00:59:42,280 --> 00:59:44,800
Speaker 1: Danny was my favorite character. She wasn't my favorite character.

1027
00:59:44,800 --> 00:59:47,080
Speaker 1: I didn't really like her that much, but you can say, oh,

1028
00:59:47,120 --> 00:59:49,560
Speaker 1: I liked because she was very headstrong, because she um,

1029
00:59:49,640 --> 00:59:51,320
Speaker 1: I liked that she was rachedful, and I liked that

1030
00:59:51,360 --> 00:59:55,360
Speaker 1: she kind of sucked people over with her dragons. Fine, um,

1031
00:59:55,480 --> 00:59:58,840
Speaker 1: I just I feel like I totally agree that people

1032
00:59:58,920 --> 01:00:01,880
Speaker 1: are angry that she did something that they didn't like

1033
01:00:02,920 --> 01:00:06,320
Speaker 1: and they're like, that's bad writing. And when they're like, oh,

1034
01:00:06,320 --> 01:00:10,160
Speaker 1: Sarcy didn't deserve to die, uh, you know, just by

1035
01:00:10,160 --> 01:00:13,200
Speaker 1: being crushed to death by Rubbel or whatever. But I'm like, dude,

1036
01:00:14,400 --> 01:00:17,200
Speaker 1: the issue that I had with the deaths that happened

1037
01:00:17,200 --> 01:00:19,280
Speaker 1: in the Battle of winter Fell and coming up with it,

1038
01:00:19,280 --> 01:00:21,240
Speaker 1: they were a little too right early. Oh, this person

1039
01:00:21,320 --> 01:00:27,360
Speaker 1: dies finally after achieving um redemption. How lucky for them.

1040
01:00:27,440 --> 01:00:29,840
Speaker 1: And I feel like if The Wire had come out

1041
01:00:30,400 --> 01:00:32,920
Speaker 1: during a time when we're on Twitter, people would have

1042
01:00:32,920 --> 01:00:35,280
Speaker 1: been like, oh, I can't believe spoilers for the Wire

1043
01:00:35,600 --> 01:00:38,280
Speaker 1: that like Omar gets killed by just a kid in

1044
01:00:38,280 --> 01:00:43,439
Speaker 1: a in a convenience store. But it's like, honestly, if

1045
01:00:44,200 --> 01:00:47,720
Speaker 1: this episode, I in the most recent episode, if Aria

1046
01:00:47,760 --> 01:00:49,560
Speaker 1: had died, I would have screamed for days and days

1047
01:00:49,560 --> 01:00:52,280
Speaker 1: and days. But if she had just been killed by

1048
01:00:52,320 --> 01:00:54,400
Speaker 1: like a falling rock, I would have been like, well,

1049
01:00:54,920 --> 01:00:58,840
Speaker 1: that's what happens. That's what happens. Um So told you

1050
01:00:58,680 --> 01:01:01,080
Speaker 1: get yours out of there. He did. He said I'm

1051
01:01:01,080 --> 01:01:04,280
Speaker 1: about to die here. And I will say that fucking

1052
01:01:04,320 --> 01:01:10,560
Speaker 1: fight was that ship that was beautiful? The thing I guess,

1053
01:01:10,640 --> 01:01:13,120
Speaker 1: just to sort of complete the thoughts about what happened.

1054
01:01:13,160 --> 01:01:15,280
Speaker 1: I think with the show, right, Denis felt like a

1055
01:01:15,400 --> 01:01:18,160
Speaker 1: righteous character because she was always fucking up people who

1056
01:01:18,200 --> 01:01:20,960
Speaker 1: deserved it right, and you're like, yes, I think people

1057
01:01:21,000 --> 01:01:22,800
Speaker 1: began to see that as like a certain value system

1058
01:01:22,840 --> 01:01:25,240
Speaker 1: she had, like oh, yeah, she just does away with

1059
01:01:25,280 --> 01:01:28,760
Speaker 1: evil rather than she uses fire as like an arbitration

1060
01:01:28,800 --> 01:01:31,960
Speaker 1: tool unless she gets down. And then when it comes

1061
01:01:31,960 --> 01:01:34,320
Speaker 1: to this thing, yeah, it's very jarring because I think

1062
01:01:34,320 --> 01:01:36,160
Speaker 1: people put a lot of it like, oh, this person

1063
01:01:36,280 --> 01:01:40,000
Speaker 1: is just and like maybe maybe aggressive, but ultimately there

1064
01:01:40,040 --> 01:01:41,800
Speaker 1: they always do right. And I think for that turn,

1065
01:01:41,920 --> 01:01:45,520
Speaker 1: I think almost made people they lost their hero, and

1066
01:01:45,560 --> 01:01:47,320
Speaker 1: I think it was very jarring. I was just like, look,

1067
01:01:49,400 --> 01:01:51,680
Speaker 1: she's been doing this. Yeah, she doesn't really show mercy

1068
01:01:51,720 --> 01:01:53,800
Speaker 1: all the time to her enemies, and I get it.

1069
01:01:53,840 --> 01:01:56,000
Speaker 1: I think that maybe the writing was a little wonky

1070
01:01:56,000 --> 01:01:59,960
Speaker 1: and that they could have presented the the her evolution

1071
01:02:00,240 --> 01:02:03,280
Speaker 1: towards going there, Like if if her second dragon got

1072
01:02:03,360 --> 01:02:05,480
Speaker 1: killed at the top of this episode, I would have

1073
01:02:05,480 --> 01:02:07,400
Speaker 1: been like, oh, now we can we can kind of

1074
01:02:07,400 --> 01:02:09,920
Speaker 1: see this progression go on. But other than that, I'm

1075
01:02:09,920 --> 01:02:12,800
Speaker 1: not I'm not really upset because also after the winnerful Ship,

1076
01:02:12,840 --> 01:02:16,000
Speaker 1: I'm kind of like, I thought everyone should have died. Okay,

1077
01:02:16,000 --> 01:02:19,800
Speaker 1: that was my take. But Clickain Bowl made everything right

1078
01:02:19,840 --> 01:02:22,440
Speaker 1: for it because I didn't care. I was like, fine, whatever,

1079
01:02:22,480 --> 01:02:24,840
Speaker 1: Seracy gets crushed, all good, you're on, you know, and

1080
01:02:24,880 --> 01:02:27,520
Speaker 1: all that fantastic. But click Gain Bowl had some of

1081
01:02:27,560 --> 01:02:31,160
Speaker 1: the best fucking moments, like Certacy just tiptoeing out of

1082
01:02:31,160 --> 01:02:35,960
Speaker 1: the web when what's the name Kurn was hious when

1083
01:02:35,960 --> 01:02:40,720
Speaker 1: he gets his dome just fucking rattled, disrespectful like he

1084
01:02:40,880 --> 01:02:44,440
Speaker 1: had yeah, just first on the wall and then somehow

1085
01:02:44,560 --> 01:02:46,320
Speaker 1: he threw his ass so hard when his head hit

1086
01:02:46,400 --> 01:02:50,800
Speaker 1: it was like a rotten pumpkin or November. So that

1087
01:02:50,920 --> 01:02:52,680
Speaker 1: was amazing. And then to see Sarasy be like, oh,

1088
01:02:53,080 --> 01:02:55,680
Speaker 1: I'm just gonna scoot on out of here. And I

1089
01:02:55,720 --> 01:02:57,920
Speaker 1: was talking with Dan that shot of the dragon coming

1090
01:02:57,920 --> 01:03:00,200
Speaker 1: by blowing the fire and they were just so sucked

1091
01:03:00,240 --> 01:03:03,240
Speaker 1: in on each other like oh this is clean bowl baby. Yeah.

1092
01:03:03,480 --> 01:03:06,120
Speaker 1: Um it was so it was so good. It was

1093
01:03:06,160 --> 01:03:08,920
Speaker 1: just so fucking great. And even when the hound is

1094
01:03:09,120 --> 01:03:13,880
Speaker 1: that last minute, just like my fucking died. Yeah, I

1095
01:03:13,880 --> 01:03:17,280
Speaker 1: loved it. I loved it. I loved that part. Yeah,

1096
01:03:17,520 --> 01:03:21,160
Speaker 1: it's the thing that you keep expecting characters and like

1097
01:03:21,240 --> 01:03:28,400
Speaker 1: slasher movies to say that they never say straight through

1098
01:03:28,520 --> 01:03:31,240
Speaker 1: this section every time, just eating up these stabs and

1099
01:03:31,280 --> 01:03:35,200
Speaker 1: like in the neck like thirty times. That feeling too,

1100
01:03:35,560 --> 01:03:38,080
Speaker 1: like that like of them fighting, well the world is

1101
01:03:38,120 --> 01:03:39,800
Speaker 1: kind of crumbling around them. It had kind of this

1102
01:03:39,880 --> 01:03:42,280
Speaker 1: like gothic feel to it, which is really cool. And

1103
01:03:42,320 --> 01:03:45,040
Speaker 1: I think I'm stealing this from someone that someone compared

1104
01:03:45,080 --> 01:03:46,880
Speaker 1: it to blood Borne Um, which I don't know if

1105
01:03:47,560 --> 01:03:49,600
Speaker 1: played that game. Yeah, it just had that kind of

1106
01:03:49,640 --> 01:03:55,320
Speaker 1: like weird, kind of like dark like Victorian feel to it.

1107
01:03:55,320 --> 01:03:57,720
Speaker 1: I don't know. It's really interesting, like very end this shrike,

1108
01:03:57,800 --> 01:04:01,320
Speaker 1: I thought the whole thing, with the whole end of

1109
01:04:01,360 --> 01:04:03,240
Speaker 1: the you know, I guess it was like almost a

1110
01:04:03,240 --> 01:04:05,800
Speaker 1: half hour forty five minutes where she's flying around just

1111
01:04:05,840 --> 01:04:09,880
Speaker 1: destroying the city was like really atmospherically like very cool,

1112
01:04:10,280 --> 01:04:13,320
Speaker 1: like when you know, from a visual standpoint, I thought

1113
01:04:13,320 --> 01:04:17,440
Speaker 1: it was cool, and from a like mood perspective, it

1114
01:04:17,480 --> 01:04:20,320
Speaker 1: was just like a weird, eerie way for it to

1115
01:04:20,400 --> 01:04:22,640
Speaker 1: just be happening in like broad daylight and she's just

1116
01:04:22,680 --> 01:04:26,400
Speaker 1: like methodically going like that. There was something very like

1117
01:04:26,560 --> 01:04:30,160
Speaker 1: nihilist and just funked up about about that, but also

1118
01:04:30,280 --> 01:04:34,000
Speaker 1: like kind of beautiful. Um and you you there, there's

1119
01:04:34,000 --> 01:04:37,840
Speaker 1: been these moments in the show where somebody feels a

1120
01:04:37,960 --> 01:04:41,200
Speaker 1: dragon like go overhead or like has a a shadow

1121
01:04:41,240 --> 01:04:43,160
Speaker 1: go over them, and they like look up and they're

1122
01:04:43,200 --> 01:04:46,760
Speaker 1: just like so inspired and terrifying. Like this kind of

1123
01:04:46,840 --> 01:04:52,640
Speaker 1: retrospectively made me like, uh, right, dragon dragon right, because yeah,

1124
01:04:52,760 --> 01:04:55,760
Speaker 1: somebody on the Ringer recap was pointing out that this

1125
01:04:55,840 --> 01:04:59,520
Speaker 1: is how all the Great Wars have ended up to

1126
01:04:59,560 --> 01:05:02,920
Speaker 1: this point point. It's like they just kill everybody with

1127
01:05:02,960 --> 01:05:06,320
Speaker 1: a dragon, and right, and that's that's ball game. And

1128
01:05:06,360 --> 01:05:08,240
Speaker 1: I also want to say, like, I don't I don't

1129
01:05:08,240 --> 01:05:12,000
Speaker 1: begrudge people not being totally on board with this episode.

1130
01:05:12,040 --> 01:05:14,800
Speaker 1: I think a good way to distinguish it is like

1131
01:05:14,840 --> 01:05:17,320
Speaker 1: if you would have been mad during the Red Wedding,

1132
01:05:17,360 --> 01:05:19,840
Speaker 1: if you would have been like, ah, this is bullshit,

1133
01:05:20,040 --> 01:05:22,640
Speaker 1: you know, then I don't know that's what them throwing,

1134
01:05:23,080 --> 01:05:27,080
Speaker 1: That's what Game of thrown, or when the mountain killed

1135
01:05:27,080 --> 01:05:29,360
Speaker 1: your boy. This is this is one of those things.

1136
01:05:29,360 --> 01:05:31,720
Speaker 1: It's like anything right. This show has so many of

1137
01:05:31,760 --> 01:05:34,000
Speaker 1: these different elements and themes that there's no way to

1138
01:05:34,040 --> 01:05:37,040
Speaker 1: objectively be like that was a good episode because everyone

1139
01:05:37,040 --> 01:05:38,919
Speaker 1: brings their own ship into it, especially with this one,

1140
01:05:39,840 --> 01:05:42,560
Speaker 1: like the audience has now become the adjudicator of a

1141
01:05:42,560 --> 01:05:44,680
Speaker 1: lot of these characters fates. Or they're like, well, Serci's

1142
01:05:44,680 --> 01:05:47,000
Speaker 1: gonna have to die like this, this is gonna have

1143
01:05:47,040 --> 01:05:49,920
Speaker 1: to happen like this, or I'm fucking mad, you know

1144
01:05:49,920 --> 01:05:52,000
Speaker 1: what I mean? I get you know, I'm I'm a

1145
01:05:52,000 --> 01:05:54,280
Speaker 1: fan of ship too, and I've been disappointed by endings.

1146
01:05:54,280 --> 01:05:56,360
Speaker 1: But as I rollder, I'm like, yeah, I have there's

1147
01:05:56,360 --> 01:05:57,640
Speaker 1: too much other ship going on in the world from

1148
01:05:57,640 --> 01:05:59,600
Speaker 1: me to get locked in on that. But I could

1149
01:05:59,640 --> 01:06:01,400
Speaker 1: tell that that was sort of what's happening is that

1150
01:06:01,400 --> 01:06:03,439
Speaker 1: everyone is bringing their own versions of how it needs

1151
01:06:03,480 --> 01:06:05,200
Speaker 1: to end for them, and when it when it runs

1152
01:06:05,280 --> 01:06:08,400
Speaker 1: counter to that, it's very upsetting because you get so

1153
01:06:08,480 --> 01:06:10,800
Speaker 1: invested in these characters and like a lot of times

1154
01:06:10,840 --> 01:06:13,080
Speaker 1: I was enduring Sarcey's ship because I'm like, well, she's

1155
01:06:13,080 --> 01:06:15,480
Speaker 1: gonna get hers best believe that, so I don't have

1156
01:06:15,520 --> 01:06:17,720
Speaker 1: to feel like but when you get it, you're going

1157
01:06:17,760 --> 01:06:19,360
Speaker 1: to get it. And I think for her to just

1158
01:06:19,400 --> 01:06:22,000
Speaker 1: suddenly have this like weird come to Jesus moments you're

1159
01:06:22,400 --> 01:06:24,720
Speaker 1: so scared, right and then just like crushed, I think

1160
01:06:24,720 --> 01:06:27,280
Speaker 1: most people probably wanted to see her like like you know,

1161
01:06:27,920 --> 01:06:32,120
Speaker 1: drawn and quarter or something, right. I And and here

1162
01:06:32,280 --> 01:06:33,880
Speaker 1: the show is by no means perfect, and I have

1163
01:06:33,960 --> 01:06:35,919
Speaker 1: a lot I have issues with the show. For sure.

1164
01:06:35,960 --> 01:06:38,480
Speaker 1: There are things that I'm like, really don't like mad

1165
01:06:38,520 --> 01:06:41,640
Speaker 1: slave armies. Yeah, yeah, I'm like, oh, cool, brown people

1166
01:06:41,680 --> 01:06:43,680
Speaker 1: are going to die for these people that we know

1167
01:06:43,720 --> 01:06:47,360
Speaker 1: are racist. Cool cool um or you know, like the

1168
01:06:47,360 --> 01:06:52,320
Speaker 1: stuff with Santa saying the thing about that rape was

1169
01:06:52,360 --> 01:06:57,520
Speaker 1: a character building that was like not great, But like

1170
01:06:57,600 --> 01:06:59,040
Speaker 1: the issues that I feel like a lot of people

1171
01:06:59,040 --> 01:07:01,720
Speaker 1: are having with this episode. I'm like, I don't know,

1172
01:07:01,760 --> 01:07:04,280
Speaker 1: I just don't agree, but I do think maybe they

1173
01:07:04,280 --> 01:07:07,720
Speaker 1: could have. I mean, we're seeing that they should maybe

1174
01:07:07,720 --> 01:07:10,680
Speaker 1: should have like hit the whole like Danny's going crazy

1175
01:07:10,760 --> 01:07:13,919
Speaker 1: thing a little harder throughout the season. That being said,

1176
01:07:13,960 --> 01:07:16,880
Speaker 1: I was fine with it. Yeah. My only complaint would

1177
01:07:16,920 --> 01:07:20,480
Speaker 1: be that they like had had it turn on whether

1178
01:07:20,560 --> 01:07:24,080
Speaker 1: John fucked her or not, like whether you cannot tell

1179
01:07:24,080 --> 01:07:27,200
Speaker 1: me that Dick is that good? He's so boring. So

1180
01:07:27,520 --> 01:07:29,840
Speaker 1: I feel like he was always like he'd probably squinting

1181
01:07:29,920 --> 01:07:33,200
Speaker 1: during six Oh good, my queen. Yeah. I feel like

1182
01:07:33,240 --> 01:07:36,640
Speaker 1: he'd constantly be like is this good, like like are

1183
01:07:36,640 --> 01:07:42,000
Speaker 1: you there yet? All right, let me know because I'm okay,

1184
01:07:42,120 --> 01:07:45,840
Speaker 1: never mind and all that just because he didn't want

1185
01:07:45,840 --> 01:07:48,960
Speaker 1: to kiss his mouth, kiss his aunt right seriously, Like

1186
01:07:49,040 --> 01:07:50,640
Speaker 1: the fact that she was like, then it will be

1187
01:07:50,760 --> 01:07:52,760
Speaker 1: fear off of that felt a little. I don't know,

1188
01:07:53,680 --> 01:07:55,840
Speaker 1: like I would have liked it better if we didn't

1189
01:07:55,920 --> 01:08:00,800
Speaker 1: have that explicit like explanation or that explicit explicit like

1190
01:08:00,880 --> 01:08:03,760
Speaker 1: turning point. But I don't know. We'll see, you know,

1191
01:08:03,840 --> 01:08:06,520
Speaker 1: we got one more, yeah, and then we will be freed. Yeah,

1192
01:08:06,560 --> 01:08:09,880
Speaker 1: And I think let's I think it's fine to like

1193
01:08:09,920 --> 01:08:13,440
Speaker 1: go on and have your quick, quick, like knee jerk observation,

1194
01:08:13,520 --> 01:08:17,120
Speaker 1: but I feel like we should give the give shows

1195
01:08:17,200 --> 01:08:20,439
Speaker 1: like a little bit of time to think in like yeah,

1196
01:08:20,520 --> 01:08:22,439
Speaker 1: but they are also moments I see it from the writing.

1197
01:08:22,479 --> 01:08:24,080
Speaker 1: I'm like, yo, y'all could have been doing this a

1198
01:08:24,120 --> 01:08:27,160
Speaker 1: lot sore and this didn't have to because it's suddenly

1199
01:08:27,200 --> 01:08:30,000
Speaker 1: turned into like the action is coming so quick and

1200
01:08:30,040 --> 01:08:32,120
Speaker 1: they're having to jam so much ship that they can't.

1201
01:08:32,200 --> 01:08:35,439
Speaker 1: They did so much nuanced storytelling in the prior seasons

1202
01:08:35,479 --> 01:08:37,439
Speaker 1: that like when you got to moments, you're like, damn,

1203
01:08:37,479 --> 01:08:39,200
Speaker 1: I can add up all this other ship I saw

1204
01:08:39,240 --> 01:08:40,960
Speaker 1: on the way here, and this one's sort of like, no,

1205
01:08:41,080 --> 01:08:43,360
Speaker 1: we got it. Hey, come on, man, we only got

1206
01:08:43,360 --> 01:08:46,120
Speaker 1: this room for another two hours. Feel that you can

1207
01:08:46,360 --> 01:08:50,559
Speaker 1: feel that like there are x many episodes left. With

1208
01:08:50,640 --> 01:08:53,479
Speaker 1: every episode, it feels very like, oh, only uh, should

1209
01:08:53,520 --> 01:08:58,920
Speaker 1: we have one left? Right? Okay? Fucking fuck it? Um,

1210
01:08:59,040 --> 01:09:04,599
Speaker 1: She'll just bring the don't it. Yeah. I mean this

1211
01:09:04,680 --> 01:09:06,240
Speaker 1: reminds me of the time when I found out The

1212
01:09:06,360 --> 01:09:10,400
Speaker 1: Night King was bad. Fuck you gotta be kidding me,

1213
01:09:11,400 --> 01:09:15,519
Speaker 1: so chill kind of little words. Yeah, he had more

1214
01:09:15,600 --> 01:09:18,800
Speaker 1: cute crop tops and had cute crowns on and that

1215
01:09:18,880 --> 01:09:23,000
Speaker 1: little baby he made all cute and stuff. All right, Well, Kelly,

1216
01:09:23,080 --> 01:09:25,720
Speaker 1: it has been such a pleasure having you. Where can

1217
01:09:25,760 --> 01:09:29,800
Speaker 1: people find you listen to you? Well, thank you so

1218
01:09:29,840 --> 01:09:33,000
Speaker 1: much for having me. Guys, you know people normally don't

1219
01:09:33,000 --> 01:09:36,000
Speaker 1: do that. Really, that's very polite. You know what you

1220
01:09:36,000 --> 01:09:39,120
Speaker 1: You're an all star and the best. Um. You can

1221
01:09:39,160 --> 01:09:41,760
Speaker 1: find me on social media at Kelly Nugi that's k

1222
01:09:41,880 --> 01:09:44,439
Speaker 1: E L L Y and U G E E U.

1223
01:09:44,600 --> 01:09:46,920
Speaker 1: You can listen to me on my podcast I have

1224
01:09:46,920 --> 01:09:49,240
Speaker 1: too podcasts teen Creeps where we talk about why pulp

1225
01:09:49,320 --> 01:09:51,839
Speaker 1: fiction from the eighties and nineties and same day shipping

1226
01:09:51,840 --> 01:09:56,320
Speaker 1: where I ship every one with everyone, uh that I

1227
01:09:56,360 --> 01:10:00,160
Speaker 1: can uh and usually do nasty ships. And I you

1228
01:10:00,200 --> 01:10:02,320
Speaker 1: have the l Ray Network. Our show just came out

1229
01:10:02,360 --> 01:10:03,640
Speaker 1: It is l re Nation where we talked about all

1230
01:10:03,640 --> 01:10:06,200
Speaker 1: things pop culture. So where do you get the L

1231
01:10:06,280 --> 01:10:09,640
Speaker 1: Ray Network? Cable? Uh? So it would be Cox Communications,

1232
01:10:10,120 --> 01:10:15,360
Speaker 1: Charter and Spectrum and Direct TV. Word, that's awesome. Is

1233
01:10:15,400 --> 01:10:19,759
Speaker 1: there a tweet you've been enjoying? Uh? Yeah, there is this. Okay,

1234
01:10:20,400 --> 01:10:22,680
Speaker 1: so there's this tweet. I don't know if you guys

1235
01:10:22,720 --> 01:10:25,920
Speaker 1: have seen it. It says, Okay, try to into it.

1236
01:10:26,000 --> 01:10:29,120
Speaker 1: The tweet before this one you cannot, And it is

1237
01:10:29,160 --> 01:10:33,960
Speaker 1: a retweet Zilia Banks saying impossible Burgers. And then if

1238
01:10:33,960 --> 01:10:38,160
Speaker 1: you click on it, it is a thread that says, no,

1239
01:10:38,280 --> 01:10:40,479
Speaker 1: pro life is not about promoting abortion like a belly

1240
01:10:40,560 --> 01:10:43,240
Speaker 1: ring and starving weird deep state liberals of research material.

1241
01:10:43,280 --> 01:10:45,400
Speaker 1: Abortion is only promoted as a human rights so they

1242
01:10:45,439 --> 01:10:47,679
Speaker 1: can get their hands on embryos and fetuses to experiment.

1243
01:10:47,680 --> 01:10:49,880
Speaker 1: I am extremely pro life for this reason. Second one,

1244
01:10:50,200 --> 01:10:52,840
Speaker 1: funny how gays and and then d dot k e

1245
01:10:52,960 --> 01:10:55,320
Speaker 1: s I'm assuming the slur fight most for abortion rights

1246
01:10:55,320 --> 01:10:57,439
Speaker 1: and have no clue what they're actually supporting. You're supporting

1247
01:10:57,439 --> 01:10:59,479
Speaker 1: a culture that glamorizes abortion as a human right in

1248
01:10:59,560 --> 01:11:02,280
Speaker 1: order to can dr clandestine experiments and do weird cloning

1249
01:11:02,280 --> 01:11:10,680
Speaker 1: and grow organs like impossible burgers. What the fuck? So

1250
01:11:10,760 --> 01:11:14,840
Speaker 1: that was the Zalia Banks um, But yeah, like if

1251
01:11:14,880 --> 01:11:17,960
Speaker 1: you just the impossible Burgers, You're like, I have no

1252
01:11:18,000 --> 01:11:20,360
Speaker 1: idea where that could come from. Guys you're reading, You're like,

1253
01:11:20,360 --> 01:11:22,120
Speaker 1: wait what and it's like a ruler coaster, like what

1254
01:11:22,160 --> 01:11:31,080
Speaker 1: are you talking about? Damn? That's why we beyond people

1255
01:11:31,120 --> 01:11:34,080
Speaker 1: find you. You can find enjoy boy. You can find

1256
01:11:34,120 --> 01:11:36,680
Speaker 1: me and follow me at miles of gray g r

1257
01:11:36,760 --> 01:11:39,320
Speaker 1: A y. You know some of y'all even tagged me,

1258
01:11:39,360 --> 01:11:41,080
Speaker 1: but then spell my name wrong in a K A S.

1259
01:11:41,200 --> 01:11:44,000
Speaker 1: It's not e y, I'm not gray worm. Okay, to

1260
01:11:44,080 --> 01:11:46,600
Speaker 1: do it with the gray perm Okay. Some tweets I like.

1261
01:11:46,640 --> 01:11:49,120
Speaker 1: First is from a listener at Sedwig c E d

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01:11:49,400 --> 01:11:52,160
Speaker 1: w I G who taped the home girl doing the

1263
01:11:52,160 --> 01:11:56,200
Speaker 1: Wedge Challenge eating the motherfucking wedge salad like a fucking

1264
01:11:56,360 --> 01:12:00,280
Speaker 1: just a slice of pizza. Okay, she used to hand ends.

1265
01:12:00,360 --> 01:12:03,559
Speaker 1: I want to challenge the next Yes, someone else one

1266
01:12:03,640 --> 01:12:07,280
Speaker 1: hand like apple style whatever it is, I want to see,

1267
01:12:08,000 --> 01:12:09,880
Speaker 1: good job and I don't wanna it looks like a

1268
01:12:09,960 --> 01:12:12,360
Speaker 1: nice white table restaurant. So shout out to you for

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01:12:12,400 --> 01:12:16,200
Speaker 1: you know, just an up ending tradition. Yeah exactly. You know,

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01:12:16,200 --> 01:12:19,040
Speaker 1: what if anything is that gang we're transgressor that's right

1271
01:12:19,120 --> 01:12:25,760
Speaker 1: sot hashtag Wedge Challenge. Please pull up to the Wedge

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01:12:25,800 --> 01:12:27,679
Speaker 1: Challenge or make ears at home. It's got to be cheap,

1273
01:12:27,720 --> 01:12:29,479
Speaker 1: just by a head of iceberg lettuce and it could

1274
01:12:29,479 --> 01:12:30,519
Speaker 1: be a two dollar thing. You have to go to

1275
01:12:30,520 --> 01:12:33,960
Speaker 1: a fancy restaurant, So shout out to you at Sedwick, Sedwig.

1276
01:12:33,960 --> 01:12:37,840
Speaker 1: A few tweets I like. One is from Kate Berlant. Okay,

1277
01:12:37,880 --> 01:12:39,160
Speaker 1: so some of these sweets are gonna have some game

1278
01:12:39,160 --> 01:12:41,040
Speaker 1: with thrown spoilers. So look, if you wanted to skip,

1279
01:12:41,160 --> 01:12:42,680
Speaker 1: just skip because I got to do these because these

1280
01:12:42,680 --> 01:12:45,280
Speaker 1: are funny. One is first Kate Berland at Cape Berland

1281
01:12:45,920 --> 01:12:47,759
Speaker 1: watching the second to last EPP of Game of Thrones

1282
01:12:47,840 --> 01:12:50,240
Speaker 1: right now, have never seen it? I like the dragon.

1283
01:12:50,360 --> 01:12:54,600
Speaker 1: Also is this set in Europe? Um? And then a

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01:12:54,680 --> 01:12:57,840
Speaker 1: few uh Nate for an all a different one not

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01:12:57,880 --> 01:12:59,600
Speaker 1: a Game of Thrones. One here tweeted I'd rather be

1286
01:12:59,680 --> 01:13:02,960
Speaker 1: a ver than someone who's never been on a podcast.

1287
01:13:04,040 --> 01:13:08,000
Speaker 1: And finally this one is a sound what can I

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01:13:08,000 --> 01:13:10,120
Speaker 1: play this one? Dan? Okay, so this is a very

1289
01:13:10,200 --> 01:13:14,559
Speaker 1: good video clip, uh from I think it's from this person,

1290
01:13:14,640 --> 01:13:17,439
Speaker 1: Lord Gaspy of how start at on fire gas be

1291
01:13:18,800 --> 01:13:22,640
Speaker 1: And it's just this video clip. Commoners, nobles, they're all

1292
01:13:22,680 --> 01:13:27,120
Speaker 1: just children, really. They won't obey you unless they fear

1293
01:13:29,000 --> 01:13:31,400
Speaker 1: I am not here to be Queen of the ashes

1294
01:13:35,160 --> 01:13:40,760
Speaker 1: destroying Okay, So yeah, those are my favorites. Tweet I

1295
01:13:40,840 --> 01:13:44,439
Speaker 1: enjoyed blank patch, tweeted, twitched the first letters of two

1296
01:13:44,479 --> 01:13:47,920
Speaker 1: words for your Star Wars name. I'll start nape grutt

1297
01:13:48,760 --> 01:13:54,760
Speaker 1: and then sa stench frewert Uh. This is my favorite.

1298
01:13:54,960 --> 01:13:57,439
Speaker 1: These really just sound like Star Wars and it's my favorite.

1299
01:13:57,479 --> 01:14:05,439
Speaker 1: Is merr six a lot like first and stingo a

1300
01:14:05,520 --> 01:14:09,720
Speaker 1: are uh park mammal? All right. You can find me

1301
01:14:09,760 --> 01:14:11,960
Speaker 1: on Twitter at jack under Squirrel Brian. You can find

1302
01:14:12,080 --> 01:14:14,639
Speaker 1: us on Twitter at Daily Zeist. Were at the Daily

1303
01:14:14,720 --> 01:14:17,519
Speaker 1: Zecheist on Instagram. We have Facebook fan page and a

1304
01:14:17,560 --> 01:14:21,240
Speaker 1: website daily si dot com. Weere post our episodes and

1305
01:14:21,280 --> 01:14:24,000
Speaker 1: our foot note where we link off to the information

1306
01:14:24,000 --> 01:14:27,000
Speaker 1: that we talked about in today's episode, as well as

1307
01:14:27,000 --> 01:14:29,880
Speaker 1: the song we ride out on miles. What's that going

1308
01:14:29,920 --> 01:14:34,040
Speaker 1: to be today? This is from Ease Tumor or Eaves.

1309
01:14:34,520 --> 01:14:36,559
Speaker 1: It's spelled y yes, So however you want to do it,

1310
01:14:36,560 --> 01:14:38,960
Speaker 1: if you want to be more European about it. But

1311
01:14:39,040 --> 01:14:41,519
Speaker 1: this is the artist eating and the track is called

1312
01:14:41,560 --> 01:14:45,720
Speaker 1: Annoying and it's very it's a lot going on, you know,

1313
01:14:45,760 --> 01:14:49,040
Speaker 1: avoid the noid uh if y'all remember that the dominoes.

1314
01:14:49,720 --> 01:14:52,160
Speaker 1: Yet we always say on brand, shout out the Domino.

1315
01:14:52,800 --> 01:14:55,880
Speaker 1: But yeah, this artist very experimental stuff. It's kind of

1316
01:14:56,720 --> 01:14:58,680
Speaker 1: it's I don't know, I don't just listen to it.

1317
01:14:58,880 --> 01:15:01,760
Speaker 1: This man is from Tennessee. I've weep so check it out.

1318
01:15:02,320 --> 01:15:05,920
Speaker 1: Very interesting, awesome. The Daily Set You Guys, is a

1319
01:15:05,920 --> 01:15:09,200
Speaker 1: production of iHeart Radio. For more podcasts for my Heart Radio,

1320
01:15:09,320 --> 01:15:12,360
Speaker 1: visit the iHeart Radio app, Apple podcast, or wherever you

1321
01:15:12,439 --> 01:15:15,400
Speaker 1: listen to your favorite shows. We are going to ride

1322
01:15:15,439 --> 01:15:19,839
Speaker 1: out on nyd uh and we will be back Tomorrow's

1323
01:15:19,840 --> 01:15:51,160
Speaker 1: more podcast. We'll talk to you guys then, nice side.

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01:15:51,960 --> 01:15:58,400
Speaker 1: I'm scared from my life. Shut up, I'm not can

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01:15:58,520 --> 01:16:01,599
Speaker 1: answer radio dump on thers ayes