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Speaker 1: Hello the Internet, and welcome to season eighty three, Episode

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Speaker 1: three at Joy Daily Sight Guist production of I Heart Radio.

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Speaker 1: This is a podcast where we take a neat dive

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Speaker 1: into America's share consciousness and say, officially off the top

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Speaker 1: of fun Coke Industries and fuck Fox News. It's Wednesday,

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Speaker 1: May twenty second two thou nine team. My name is

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Speaker 1: Jack O'Brien A sorry, baby, you just drew the Jack

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Speaker 1: of the parts. And I'm thrilled to be joined as

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Speaker 1: always by my co host, Mr Miles Grag. You know

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Speaker 1: that I would be a grave. You know that I

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Speaker 1: would be a Miles if I was to say to

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Speaker 1: you girl, we couldn't get mu cider. Come on, baby,

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Speaker 1: spark that lighter, try to send the hot texts on fire.

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Speaker 1: And then incomes the Rayman's Eric organ solo, Thank you too,

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Speaker 1: Hannah Soltil his Handah for that. Doors and Parday gave

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Speaker 1: band very near. Are you you're a Doors fan? Well,

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Speaker 1: they get a lot of hate. My dad worked for him, right, Okay?

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Speaker 1: I mean well? Uh. We are thrilled to be joined

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Speaker 1: in our third by an award winning journalist and podcaster

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Speaker 1: and the founder of the Critical Frequency podcast network, Amy

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Speaker 1: Westerville welcome. I can't no, no, no, no, what's your blood?

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Speaker 1: This is what I asked whenever people mention that, what

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Speaker 1: is your career dollar partners so you can, so you

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Speaker 1: can sounds what you're saying. It's not like doing some

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Speaker 1: some beginner stuff. Yeah, what are you? What are you

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Speaker 1: doing here? You're a very smart and accomplished person. Yeah,

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Speaker 1: nothing against our normal guests. Yes, Jack and ever Sweat

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Speaker 1: and we're like, man, really, I've been reading stuff and

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Speaker 1: like your podcasts are really good. Where like I'm making

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Speaker 1: sounds off the rip. I tried to keep never Change,

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Speaker 1: Keep into one of my more highbrow a k S.

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Speaker 1: I wrote that one specifically for the first day. We

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Speaker 1: have an award winning journalist here. Well, so, how did

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Speaker 1: you get into journalism? That's a good question. Um, I

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Speaker 1: needed a job the day after I graduated college and

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Speaker 1: I yeah, and I got a job at a magazine

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Speaker 1: that could only have existed in the year two thousand

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Speaker 1: in San Francisco. It was a print magazine about online shopping.

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Speaker 1: So what did you cover the trends in online shopping? Yeah,

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Speaker 1: like we online shopped and then wrote about it in

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Speaker 1: a print magazine. Will not surprise, you never actually saw

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Speaker 1: the light of days. Yeah, we made like three issues.

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Speaker 1: It was supposed to be um a companion to Better

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Speaker 1: Homes and Gardens, and Meredith Publishing smartly decided before they

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Speaker 1: sent this out that in fact, it was a terrible idea,

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Speaker 1: would never even hit the hit the shelves. But I

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Speaker 1: got a taste review like the earliest days of Amazon,

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Speaker 1: or like I bought them. You know, I was in

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Speaker 1: charge of a lot of like shopping for the home

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Speaker 1: kind of stuff. So it was a bunch of like

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Speaker 1: I don't know, like mid century modern collectors that would

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Speaker 1: sell stuff online and I would like list you know,

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Speaker 1: like this random store in Nashville has a great online

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Speaker 1: web store. That makes okay, So like really like then

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Speaker 1: that makes sense in two thousand two because yeah, you'd

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Speaker 1: you'd imagine that those places didn't have like online like

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Speaker 1: e commerce capabilities. And you still that's sort of your

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Speaker 1: main beat is online shopping, right, still beat? Where um?

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Speaker 1: So do you think that kind of that early assignment

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Speaker 1: gave you a toe hold as like a good online shopper?

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Speaker 1: Are you good at that? Actually? Very good at online?

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Speaker 1: That's a really good skill to have underrated skill? Yeah, yeah, um, yeah,

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Speaker 1: it did really set me up for a life of

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Speaker 1: great They find the deals right, never forget where you

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Speaker 1: come from. All Right, we're gonna get to know you

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Speaker 1: a little bit better in a moment. First, we're going

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Speaker 1: to tell our listeners a couple of the things we're

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Speaker 1: talking about today, Like you could all predict this, but

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Speaker 1: of course we're going to start off talking about Guy

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Speaker 1: Fieri's hair, rest on the name. We're gonna talk about

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Speaker 1: the real world getting a reboot. We're gonna talk about

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Speaker 1: why politicians should, probably for their own sake, stop playing

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Speaker 1: Born in the USA as their campaign theme song. Just listen.

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Speaker 1: I mean, depending depends on what your campaign is, but

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Speaker 1: the specific politicians who are playing it should probably hop

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Speaker 1: on genius and take a second look at that, uh,

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Speaker 1: those lyrics. We're gonna look at the increasingly complex relation

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Speaker 1: and ship between the president and his propaganda network. We're

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Speaker 1: going to talk about something that Amy is very knowledgeable about,

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Speaker 1: EPA Fuccory and climate changed in the Nile. And we'll

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Speaker 1: do a box office report because America is fucking with

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Speaker 1: John Wick hard. But first, Aimy, we like to ask

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Speaker 1: our guests, what's something from your search history that's revealing

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Speaker 1: about who you are. Um My most recent search was

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Speaker 1: a history of milkshaking milk shaking. Yeah, so Nigel Farage

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Speaker 1: just had a milkshake thrown at him, just despite having

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Speaker 1: checked with all the local McDonald's and asked them not

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Speaker 1: to sell milkshakes, and that were put up were amazing.

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Speaker 1: They're like, due to recent events, were might be serving

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Speaker 1: milkshakes or ice cream today. It is so good. But

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Speaker 1: I was like, oh, has there like has this always happened?

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Speaker 1: And it turns out no, this is a somewhat new thing.

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Speaker 1: It used to be eggs, eggs and pies before that,

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Speaker 1: rotten tomatoes correct, right, yeah, yeah, but I love it.

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Speaker 1: I feel like we need to throw more food politicians, yeah,

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Speaker 1: because they the shame of it. You can see how

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Speaker 1: demoralizing it is. It's one thing to be like you're

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Speaker 1: so wrong because you're just a racist bigot, like, okay,

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Speaker 1: I'm going to keep it moving in my goons wolf

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Speaker 1: swipe you away. But when you have your dumb ass

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Speaker 1: like pinstriped suit just covered in vanilla milkshake, yeah, there's

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Speaker 1: no way to make that look cool. Everyone's face looks ridiculous.

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Speaker 1: In their first hit, by food. Yeah, yeah, yeah, there's

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Speaker 1: always a photograph where they have a moment of not

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Speaker 1: expecting it, right, because I guess the point normally is

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Speaker 1: like you'll shame them by making them aware of their transgressors.

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Speaker 1: That doesn't work right, But now it's like, Okay, I

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Speaker 1: guess I have to do it in the language you

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Speaker 1: understand where the shame on you and now, oh, now

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Speaker 1: you hear me, because they have no shame about the

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Speaker 1: actual belief about how they look. It all looks stupid.

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Speaker 1: You're come at them on the thing that you value,

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Speaker 1: which is truth and like ideas, but about that they

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Speaker 1: care about how their hair looks after like when the

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Speaker 1: cameras are on, yeah, in the lips. Yeah. I'm just

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Speaker 1: thinking about like great moments in shaming politicians, like when

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Speaker 1: somebody told Dick Cheney to go funk himself when he

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Speaker 1: was at that hurricane. That would have been better if

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Speaker 1: it was a go funk yourself with a milkshaking Oh yeah, yes,

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Speaker 1: that would be a great thing. Yeah yeah yeah, Or

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Speaker 1: just do like like leafblowers around these people, a leafblower

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Speaker 1: on Trump, like someone's not just showing up and doing

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Speaker 1: that every time. Yeah, that should be our new move

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Speaker 1: out here in the West. We leaf blow people leaf blowing.

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Speaker 1: They hit you with a gust of wind man that

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Speaker 1: will rearrange your ship. Yeah, if you've never leaf blown,

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Speaker 1: I highly recommend it. It is a powerful weapon. Yeah,

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Speaker 1: I gotta like in plug in leaf blower and it's

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Speaker 1: awesome both for three year olds and thirty year olds

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Speaker 1: like oh yeah, k and yeah, you can just really

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Speaker 1: uh do some do some ship with that gusta win

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Speaker 1: to really damage your pretty You can just knock knock

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Speaker 1: bulls center pieces off the dining room table. Anyways, No,

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Speaker 1: I don't do it inside, Amy. What is something you

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Speaker 1: think is overrated? I think that the show Russian Dolls,

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Speaker 1: Russian Dolls, Russian Doll, Yeah, is overrated. I like I

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Speaker 1: watched it. I like Natasha Leone and the acting is

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Speaker 1: like entertaining, but the overall thing and then they end

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Speaker 1: up with like parallel universes quantum of physics. I was like,

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Speaker 1: what is this the secret for millennials? And that started

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Speaker 1: off really good and I was like, okay, you got me,

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Speaker 1: you got me, and then it kept going. I was like,

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Speaker 1: you know, I guess I keep watching. I know. I

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Speaker 1: felt like they were just like how do we end this?

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Speaker 1: I don't know what her Let's just do this. They're

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Speaker 1: going to pass each other in parallel dimensions. It's like

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Speaker 1: masquerade whatever. And you know, I was like, I feel

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Speaker 1: like this is something I would have come up with

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Speaker 1: when I was like very high in when I like

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Speaker 1: in my dorm room at not. Yeah, I love parallel dimensions,

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Speaker 1: So I'm the wrong audience for this overrated? Did you

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Speaker 1: like the whole thing? Though? I didn't watch any So

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Speaker 1: what you like parallel dimensions? I do you like it?

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Speaker 1: What I'm telling you is it's very interesting because they

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Speaker 1: show you just this much and you're so very little

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Speaker 1: bit and you don't know what's going on. And then

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Speaker 1: as it zooms out, you're like huh, and you think

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Speaker 1: you get it, but then she just doesn't start adding

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Speaker 1: up a little bit right, and you start asking more

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Speaker 1: questions of the writing than you do like just accepting

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Speaker 1: what you're seeing. But and then it's like, oh, women

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Speaker 1: can do bad physics too. Yeah. See, That's why I

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Speaker 1: think I like parallel dimensions because I'm good at understanding

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Speaker 1: just enough of a scientific concept to misunderstand it in

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Speaker 1: an interesting way. So I'm like, yo, that's really tight

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Speaker 1: and like what if there's like a hundred exactly, yeah, exactly,

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Speaker 1: what is something you think is underrated? Nicolas Surgeon, Prime

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Speaker 1: Minister of Scotland. Yes, she's awesome. She's my favorite like

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Speaker 1: lady politician by far. The Scots are relentless with their insults,

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Speaker 1: so like her entire career has consisted of like constantly

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Speaker 1: being called ugly in the press and she's just like whatever,

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Speaker 1: I'm ugly, deal with it and I'm here. Yeah, but

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Speaker 1: she's just she's great. She was like the first politician

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Speaker 1: to actually call out Trump in like an international way

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Speaker 1: where she's like, I'm not sitting down with that guy.

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Speaker 1: He's a clown. Oh yeah, that's right. And he wanted

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Speaker 1: to because he wanted to go. And also his mom

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Speaker 1: is from Scotland and he likes to be like I'm

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Speaker 1: Scottish and Scotland's no, you're not. No, you're not like

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Speaker 1: we got we got leaf blowers for you if you

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Speaker 1: if you just pull up to Scotland. Yeah. Yeah. His

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Speaker 1: mom is also a Tim Burton movie character. Yeah, I

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Speaker 1: have seen pictures of her. She it's mind. Both of

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Speaker 1: them look like they would be at some dinner party

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Speaker 1: and like Edwards scissor Hands doated scene. Yeah, it's an

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Speaker 1: accommodation of an Edward scissor Hands like background character and

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Speaker 1: also like one of the hallucinations from The Bad Trip

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Speaker 1: in Fear and Loathing in Laws Vegas, Like, they really

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Speaker 1: are are a strange looking couple, but the cautionary tale

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Speaker 1: for people who want to embrace predatory capitalism. They look

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Speaker 1: like it's manifesting in the physical. Yeah, they have their

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Speaker 1: disintegrating from their soul from the Yeah. Yeah, but I mean,

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Speaker 1: there's no way that Donald Trump has a complicated or

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Speaker 1: weird relationship with his mom. She was loving and just

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Speaker 1: bathed tim and proper attention. It's such a daughter's boy, Yeah, exactly,

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Speaker 1: That's why he's so good to women. What is a myth?

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Speaker 1: What's something people think is true, you know, to be

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Speaker 1: false or vice versa. Uh. Well, I've been writing a

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Speaker 1: lot about the media's role in climate denial lately, and

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Speaker 1: I think one thing people believe to be true is

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Speaker 1: that especially they're sort of heroes of journalism, like the

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Speaker 1: New York Times the Washington Post are kind of like,

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Speaker 1: you know, have spotless reputations and could never possibly be

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Speaker 1: influenced my corporate interests. But in fact, The New York

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Speaker 1: Times worked with Mobile and then Exxon and then Exon

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Speaker 1: Mobile to create the advertorial and the op ad, which

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Speaker 1: are like two forms of native advertising that show up

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Speaker 1: in the paper. Um, and I mean, I don't know.

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Speaker 1: I feel like the media has actually been one of

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Speaker 1: the most effective tools of oil company propaganda, which I

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Speaker 1: don't think people know or or necessarily even think about

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Speaker 1: including people in the media. Actually, I feel like this

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Speaker 1: is like a myth that is self perpetuating, because I

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Speaker 1: have a lot of friends who are reporters and have

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Speaker 1: gotten into these discussions online with people a lot too,

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Speaker 1: and they're like, but I've never been I work for

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Speaker 1: the New York Times, and I've never been influenced by

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Speaker 1: an oil company guy. And it's like, yeah, dude, I'm

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Speaker 1: not talking about like some guy in like a Tucks

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Speaker 1: and Tales and top hat with like us, you know, mustache,

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Speaker 1: showing up at your desk and being like spike that story.

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Speaker 1: You know, yeah, it's give me a red pat No no, no, no, no, yeah. Yeah,

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Speaker 1: but we know from various documents that you know, like

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Speaker 1: the guy who ran pr for Mobile Forever, for example,

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Speaker 1: would routinely pull advice from papers that we're running too

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Speaker 1: many stories that were critical of the industry, and then

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Speaker 1: those like advice would return, so you know, yeah, yeah.

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Speaker 1: So the way a journalist might experience it and not

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Speaker 1: realize it is they're at an editorial getting they pitch

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Speaker 1: a story and their editor or editor in chief would

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Speaker 1: have like gotten some feedback, and so they just like

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Speaker 1: subtly steer them in another direction. Yeah, they're like, we're

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Speaker 1: not as interested in that. We feel like we've covered

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Speaker 1: that and we've done that a lot. The animals affected

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Speaker 1: by the Arctic drilling, yeah, as what they did to

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Speaker 1: get there, Yeah, yeah, exactly. Like so I guess the

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Speaker 1: myth is that, you know, influence shows up in obvious ways,

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Speaker 1: and it really doesn't. That's why it's influential, you know.

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Speaker 1: But I mean those companies legitimately believed that there's no

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Speaker 1: such thing as climate change, right, So what the oil companies, Well,

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Speaker 1: they all have pages on their websites now that say

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Speaker 1: that they do. Now. Their thing is that, um, you know,

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Speaker 1: we don't really we still can't really tell how bad

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Speaker 1: it's going to be. Not true and that and that

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Speaker 1: it's not their responsibility they're really big on on being

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Speaker 1: like it's a global problem that requires a global solution. Um.

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Speaker 1: But you know, US oil companies are the number one

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Speaker 1: producer of fossil fuels and have been for a while,

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Speaker 1: so they're also the global supplier of that global problem.

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Speaker 1: Hearing global a lot in relation to you, So it

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Speaker 1: does sound like problem. But yeah, is that's true that

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Speaker 1: it's like a hundred companies that are responsible for like

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Speaker 1: some huge portion of the like seven I think it's UM. Yeah,

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Speaker 1: the Carbon Major's report which came out maybe I think

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Speaker 1: the first one was five or six years ago. There

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Speaker 1: was one guy, Richard Heati, who looked at UM all

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Speaker 1: of the sort of human emissions from the industrial age

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Speaker 1: to now and then looked at you know, certain industries

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Speaker 1: and certain companies and did this whole kind of inventory

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Speaker 1: and figured out that, yeah, d companies are responsible for

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Speaker 1: I think it's seventy of UM global greenhouse gas emissions,

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Speaker 1: which is then formed the basis of lots of different

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Speaker 1: lawsuits around that, which is why we don't use straws exactly.

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Speaker 1: So it's kind of on us and think about how

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Speaker 1: many straws us. That's a great myth, Actually is this

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Speaker 1: whole like individual responsibility thing. Like the oil companies are

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Speaker 1: constantly like, well, you guys wanted it, We're just supplying

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Speaker 1: a demand. But a most individuals I know are not

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Speaker 1: oil executives and did not like you know, put out

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Speaker 1: massive like spend massive amounts of money to influence how

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Speaker 1: people understand this issue or lobby you know, compressed to

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Speaker 1: get certain regulations. Like most people this idea that like, oh,

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Speaker 1: it's our fault for driving. It's like most people I

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Speaker 1: know would rather commute on public transit. It's just not

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Speaker 1: like they haven't been given that option, you know, even

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Speaker 1: if they wouldn't rather do it or like knowingly rather

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Speaker 1: do it, it's because there's a huge competitive disadvantage to

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Speaker 1: not being able to have the freedom to roam at

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Speaker 1: the same speed as somebody who has your same job.

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Speaker 1: Like yeah, totally yeah, this it's this like and I

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Speaker 1: mean I know lots of people who very much like

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Speaker 1: know that climate change is happening, know that humans are

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Speaker 1: involved whatever, and that will like kind of repeat this stuff.

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Speaker 1: I mean, you see every earth day, it's like ten

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Speaker 1: things you can do. Yeah, yeah, you mean pull up

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Speaker 1: to BP was fucking with the squad direct, Yeah, one

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Speaker 1: of the things I can do. What's funny because the

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Speaker 1: greenwashing stuff is so effective because if if you look

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Speaker 1: at a bp AD, you thought they were they were

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Speaker 1: in the solar business and likens in the algae business. Rightly, Yeah,

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Speaker 1: it's it's so effective too because I think it completely excused. Like, no,

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Speaker 1: do you remember the oil spill that happens that's the

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Speaker 1: same b P Yeah, but you know, yeah, yeah, exactly

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Speaker 1: beyond profits, I mean, yeah, it needs to be a

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Speaker 1: huge systematic systemic change, right, not a stopping using straws,

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Speaker 1: although whatever, I mean, that's fine, like do that stuff, sure,

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Speaker 1: but that's not that's not the biggest driver. That's not

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Speaker 1: going to break the wheel. Well on Also, fossil field

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Speaker 1: companies actually like they will continue to increase supply whether

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Speaker 1: there's demand for it or not. We have an oversupply

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Speaker 1: right now. Yeah, and and they like there's actually like

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Speaker 1: a lot of data that shows that that they're continued

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Speaker 1: push to drill more or you know, get more natural

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Speaker 1: gas from here to there or whatever is actually like

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Speaker 1: driving an increase in demand and not the other way around.

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Speaker 1: They act like somehow they created the only demand side

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Speaker 1: only economy. The game did not happen. Yeah. Alright, Well

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Speaker 1: let's get into something equally important as we discussed up top,

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Speaker 1: Guy Fieri's uh wait, hold on, you really respect the

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Speaker 1: ship out of that last name? What happened? Is it?

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Speaker 1: Because you watch so much and you hear him say

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Speaker 1: like that? No, I think it's yeah, guys like, hey,

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Speaker 1: it's Guy Fieri. I think I heard it on a

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Speaker 1: podcast maybe dough Boys to that way and so internalized

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Speaker 1: in that way. It's it's also better. I like the

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Speaker 1: way it feels to say it that way more than fiery. Yeah, well,

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Speaker 1: I have about the cultural sensitivity of a guy at

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Speaker 1: trying to understand your name. It's fiery, it's fiery. Yeah.

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Speaker 1: You know, he has a very famous look, um, and

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Speaker 1: I guess he's a nice guy, right, there's a lot

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Speaker 1: of stories that, Yeah, contrary to his outward look, he's

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Speaker 1: actually a very kind person. Let's pump the brakes. Yeah,

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Speaker 1: but there's you know a lot of people always like

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Speaker 1: what's up with his style? So his wife recently did

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Speaker 1: an interview with People magazine, very hard hitting journalism, um

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Speaker 1: and talking about like so she says this, when I

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Speaker 1: first met him, he had no goatee. He had dark hair,

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Speaker 1: he wore a suit to work every day. Now I

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Speaker 1: look at him and I'm like, where's that man I

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Speaker 1: married with the whole clean look? And she's gone, that

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Speaker 1: is like some ship that you say at a like

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Speaker 1: crisis point in your marriage. That's like you say that

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Speaker 1: in front of a marriage counselor and he like, and

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Speaker 1: you know, to be honest, I look at him and

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Speaker 1: I think, where's the man that I know. I don't

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Speaker 1: know what this clown is for me, this bizarre grotesque being.

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Speaker 1: So then we find out what the genesis was of

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Speaker 1: this whole look, and apparently it was an accident somewhat

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Speaker 1: because he had a hairdresser at the time. And this

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Speaker 1: guy says, he said, I was just kind of having

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Speaker 1: one of those moods one day and said just do

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Speaker 1: whatever you want. She goes, whatever I want. Whatever you want,

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Speaker 1: he recalls, I get done. I'm like, you're gonna wash

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Speaker 1: out that shampoo? She goes, no, that's your hair color.

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Speaker 1: I'm like, my what it was Friday night at like

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Speaker 1: six o'clock. I had to be at the restaurant. I'm

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Speaker 1: like no, She's like yeah. So I put a ball

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Speaker 1: cap on and I walked to the restaurant, and then

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Speaker 1: they kind of go on to say like his hair

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Speaker 1: was like changing with the seasons, like it used to

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Speaker 1: be seasonal like that it was like a mood. I

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Speaker 1: guess that he would put on his hair. Uh So

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Speaker 1: he said I would do a red blonde in the

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Speaker 1: summer for fun, that he'd cut it, and it was yeah,

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Speaker 1: he'd cut it and it was like really fun. That's

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Speaker 1: his his wife Flori speaking. And then and then the

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Speaker 1: wintertime he'd go back to dark. So it's like, you know,

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Speaker 1: he realizes that there's work, there's play um and you

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Speaker 1: know she says that she would never she but does

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Speaker 1: not want him to change it. She says, I always

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Speaker 1: say when are you going to change your haircut? But

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Speaker 1: it's stuck and it's him. She adds, I tease him

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Speaker 1: every once in a while, and I do want a

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Speaker 1: little change sometimes, but that's like me changing my hair

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Speaker 1: to black. I mean, I'm not going to do that

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Speaker 1: for him. So yeah, I kind of like that. I

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Speaker 1: like that she can be like he looks like a clown,

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Speaker 1: but you know, it's his brand now, like that she's

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Speaker 1: like that open about it that they seem like they

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Speaker 1: support each other as much as this guy is, uh,

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Speaker 1: you know, sort of a cultural clown. Every everything I

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Speaker 1: read about him makes me respect. Hi, he's the fucking

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Speaker 1: mayor of Flavor Town. That is fair. I don't forget.

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Speaker 1: Was it when wrestling like Texas Sabis or something? The

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Speaker 1: names are cool too. Yes, you know, I think he's

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Speaker 1: a magic He's like a he's like a Puckish figure

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Speaker 1: in the world of the culinary arts. Yeah, very like

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Speaker 1: if Shakespeare had written about America instead of Puck, he

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Speaker 1: would have created And then, speaking of Puck, the real

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Speaker 1: World has a re launch. Yes, yes, so I've actually

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Speaker 1: been wondering about when they were going to bring the

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Speaker 1: real world back and just do a more I don't know,

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Speaker 1: like social media friendly version where you're like traveling to

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Speaker 1: other countries and you're doing sort of a thing where

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Speaker 1: like they put them in interesting towns rather than just

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Speaker 1: like Miami Beach. This time the jacuzzis in Vegas that

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Speaker 1: they're having sex in. So it seems like they're kind

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Speaker 1: of doing that but not really what's all happening. Well,

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Speaker 1: I mean, look, you were you in a focus group

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Speaker 1: or something, you said family social media friendly, it's going

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Speaker 1: to be on Facebook watch okay uh, and you want

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Speaker 1: to go to other places, well, well you better get

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Speaker 1: your passport because we're going to Mexico, Thailand and Atlanta.

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Speaker 1: But there's like three different, three versions. But to me

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Speaker 1: that's more interesting, Like I want to see the Mexico

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Speaker 1: version of the Real World or the Thai version. But

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Speaker 1: will that be airing in a mirror? Oh, it's not

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Speaker 1: even on TV. It's on Facebook. We can watch whatever

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Speaker 1: we want. Yes, the airing simultaneously, like you're going to

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Speaker 1: get to see Oh, I don't know that. That's where

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Speaker 1: the article I read I stopped because Coola book back.

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Speaker 1: Don't remember the last time it was on. Well, they

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Speaker 1: have like an exchange program where the U s housemates

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Speaker 1: are like waving to the housemates in Thailand. And I

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Speaker 1: don't know. Maybe the new iteration of the iconic reality

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Speaker 1: show will launch with three versions in Atlanta, Mexico, and Thailand.

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Speaker 1: The reimagined series expands on connecting people from wildly divergent

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Speaker 1: backgrounds to find common ground on the issues that often

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Speaker 1: divided them. In the US version, seven strangers come together

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Speaker 1: at a house in Atlanta. Every moment of their lives

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Speaker 1: just tape as people stop being polite and start getting

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Speaker 1: fake for the purpose of TV that looks real. Um,

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Speaker 1: So yeah, I don't sure. I'm just curious what these

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Speaker 1: if like kids these days, you know, kids these days

415
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Speaker 1: give a funk about this stuff, because to me, it

416
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Speaker 1: was interesting in the nineties because it was the only

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Speaker 1: show in town for a little while and they and

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Speaker 1: the internet wasn't really that popping, so like I would

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Speaker 1: learn them like, oh, that's what people who like live

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Speaker 1: in Boston are when they're in a possibly cool house,

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Speaker 1: what social media is, and like the trends on social

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Speaker 1: media are today. That used to be MTV, Like MTV

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Speaker 1: was just where you went to see what young people,

424
00:25:00,040 --> 00:25:02,480
Speaker 1: well we're doing and gave a shit about Yeah, you

425
00:25:02,600 --> 00:25:05,480
Speaker 1: just pair it whatever you say. And now all of

426
00:25:05,600 --> 00:25:08,360
Speaker 1: that has been replaced by social media. So it's interesting

427
00:25:08,440 --> 00:25:11,280
Speaker 1: that they're trying to take one of the brands off

428
00:25:11,320 --> 00:25:13,520
Speaker 1: of MTV and just put it straight onto social media,

429
00:25:13,640 --> 00:25:16,800
Speaker 1: because I feel like that has been the death of MTV,

430
00:25:17,040 --> 00:25:20,159
Speaker 1: is just that they didn't capture any of the like

431
00:25:20,359 --> 00:25:25,560
Speaker 1: influencer bullshit that people you know, there's an entire industry

432
00:25:25,600 --> 00:25:28,240
Speaker 1: of that on Instagram and Snapchat and ship and a

433
00:25:28,280 --> 00:25:30,600
Speaker 1: bunch of those got hacked recently too. There's like a

434
00:25:30,720 --> 00:25:34,680
Speaker 1: million influencer accounts whose personal data got leaked because there's

435
00:25:34,720 --> 00:25:37,080
Speaker 1: a company in Mumbai or something that like works with

436
00:25:37,200 --> 00:25:41,119
Speaker 1: influencers to do ads and their database like wasn't encrypted,

437
00:25:41,320 --> 00:25:43,879
Speaker 1: so people just like pulled up to their database and

438
00:25:43,960 --> 00:25:47,560
Speaker 1: it had like phone numbers, emails, like the projected value

439
00:25:47,640 --> 00:25:51,119
Speaker 1: of each brand, and on top of it like locations

440
00:25:51,200 --> 00:25:54,720
Speaker 1: for like the photos. It was bad, and they just

441
00:25:54,840 --> 00:25:56,440
Speaker 1: they just took it down. They're like, oh, we're gonna

442
00:25:56,560 --> 00:26:00,560
Speaker 1: look into that anyway. Alright, we're gonna take a quick break.

443
00:26:00,640 --> 00:26:15,000
Speaker 1: We'll be right back, and we're back. And Joe Biden

444
00:26:15,600 --> 00:26:20,199
Speaker 1: did something over the weekend that a lot of politicians

445
00:26:20,280 --> 00:26:24,720
Speaker 1: have done, which is play the song Born in the

446
00:26:24,840 --> 00:26:27,959
Speaker 1: USA as a patriotic anthem at one of his rallies.

447
00:26:28,880 --> 00:26:31,360
Speaker 1: I mean, who can forget man? I think there's only

448
00:26:31,359 --> 00:26:33,240
Speaker 1: a couple of words of that song. It's born in

449
00:26:33,400 --> 00:26:36,359
Speaker 1: the USA. So that's it, right, that's the only where's

450
00:26:36,359 --> 00:26:40,200
Speaker 1: this song? It says but in the USA over and

451
00:26:40,280 --> 00:26:43,240
Speaker 1: over for what five minutes? And that's it. Are there

452
00:26:43,320 --> 00:26:46,520
Speaker 1: lyrics to that song? I think they're actually might be

453
00:26:47,000 --> 00:26:52,080
Speaker 1: like an intro part America. I think I think the

454
00:26:52,200 --> 00:26:57,640
Speaker 1: intro part is just USA. Yeah. Oh wait, no, okay, sorry,

455
00:26:57,680 --> 00:27:03,359
Speaker 1: I'm reading here, uh writer Jam McNabb roach. Oh, I

456
00:27:03,400 --> 00:27:05,119
Speaker 1: guess there are lyrics. Alright, let me read him here.

457
00:27:05,520 --> 00:27:08,879
Speaker 1: Got in a little hometown, Jam. So they put a

458
00:27:09,040 --> 00:27:12,040
Speaker 1: rifle in my hand, sent me off to a foreign

459
00:27:12,200 --> 00:27:17,400
Speaker 1: land to go and kill the yellow Man from Watchman.

460
00:27:18,440 --> 00:27:23,480
Speaker 1: I think it started as an anti Vietnam. Well that's

461
00:27:23,800 --> 00:27:28,359
Speaker 1: hardly appropriate for somebody tried to become the US president. Yeah. Well,

462
00:27:28,400 --> 00:27:31,520
Speaker 1: I mean, okay, we'll stop being flippant about it, but

463
00:27:32,160 --> 00:27:37,000
Speaker 1: it's clearly so I'm gonna keep this going. How about this,

464
00:27:37,440 --> 00:27:40,760
Speaker 1: I had a brother at Casson fighting off the viet Cong.

465
00:27:41,320 --> 00:27:45,800
Speaker 1: They're still there. He's all gone. Yeah, having trouble deciphering this.

466
00:27:47,359 --> 00:27:49,400
Speaker 1: He's just about the fourth of July talking about being

467
00:27:49,480 --> 00:27:52,680
Speaker 1: in the ship, about born in the fourth of July. Seriously,

468
00:27:53,800 --> 00:27:57,320
Speaker 1: because the ship. This song was written because he was

469
00:27:57,400 --> 00:28:01,119
Speaker 1: interacting right with Vietnam veterans. Yeah, like what inspired him

470
00:28:01,119 --> 00:28:03,840
Speaker 1: to write this song? Yeah? Yeah, I mean, Bruce Springsteen

471
00:28:04,119 --> 00:28:09,840
Speaker 1: is the you know, the Shakespeare of the Blue Color class. Yeah,

472
00:28:10,080 --> 00:28:13,200
Speaker 1: and so he's, you know, he's writing about what what

473
00:28:13,400 --> 00:28:15,720
Speaker 1: people were going through in the eighties as they were,

474
00:28:16,119 --> 00:28:19,280
Speaker 1: you know, coping with the fallout from the Vietnam War

475
00:28:19,440 --> 00:28:22,800
Speaker 1: and you know, being a generation that was sent to

476
00:28:22,800 --> 00:28:26,560
Speaker 1: the Vietnam War and you know struggling with PTSD and

477
00:28:26,880 --> 00:28:29,720
Speaker 1: coming back to a country that was just wanted to

478
00:28:29,840 --> 00:28:32,919
Speaker 1: forget that that war ever happened. Unfortunately, we learned our

479
00:28:33,000 --> 00:28:38,480
Speaker 1: lesson from that generation. Nothing like that is ever. Yeah. Um,

480
00:28:38,880 --> 00:28:40,400
Speaker 1: but we just did it so we could sell Coca

481
00:28:40,480 --> 00:28:43,880
Speaker 1: Cola in Vietnam. Yeah. But Biden, I mean this seems

482
00:28:43,920 --> 00:28:47,360
Speaker 1: to be on brand. Like Biden does seem to be

483
00:28:47,680 --> 00:28:52,440
Speaker 1: trying to be the Ronald Reagan of Democrats. Yeah. I

484
00:28:52,520 --> 00:28:55,120
Speaker 1: feel like he's trying. Yeah, he's trying to give people

485
00:28:55,200 --> 00:28:57,040
Speaker 1: the like, why can't we just go back to the

486
00:28:57,080 --> 00:29:00,400
Speaker 1: way things Yeah, yeah, exactly, like when I didn't know

487
00:29:00,600 --> 00:29:03,720
Speaker 1: like how bad everything was, I think is really what

488
00:29:03,880 --> 00:29:06,000
Speaker 1: it is. It's because then other candidates like are we

489
00:29:06,080 --> 00:29:08,920
Speaker 1: ready to confront all this ship or we just want

490
00:29:08,960 --> 00:29:14,200
Speaker 1: to just want to right, He's like, hop on my

491
00:29:14,280 --> 00:29:19,600
Speaker 1: back and will work back into Yeah it was okay

492
00:29:19,720 --> 00:29:24,200
Speaker 1: to touch women, and yeah, make the occasional racist comming. Yeah,

493
00:29:24,600 --> 00:29:28,000
Speaker 1: sniff a kid's head in front of their parents, like

494
00:29:28,080 --> 00:29:30,880
Speaker 1: it wasn't giving you life. I didn't have to apologize

495
00:29:31,000 --> 00:29:35,320
Speaker 1: for ship. Do you think do you think he's a

496
00:29:36,160 --> 00:29:38,600
Speaker 1: psychic vampire? Do you know, like that idea of like

497
00:29:38,760 --> 00:29:40,960
Speaker 1: people who feed off the energy of other people. Do

498
00:29:41,040 --> 00:29:42,600
Speaker 1: you think that's what he's doing when he puts his

499
00:29:42,760 --> 00:29:47,000
Speaker 1: face someone who's just inhaling their soul? Oh yeah, those

500
00:29:47,080 --> 00:29:50,200
Speaker 1: children all immediately aged like twenty years. And you look

501
00:29:50,880 --> 00:29:53,120
Speaker 1: the non hair plug part of his scalp, that that

502
00:29:53,240 --> 00:29:58,440
Speaker 1: hair grows in the back real long, grows a rat

503
00:29:58,520 --> 00:30:00,240
Speaker 1: tail when he does it every time. If he was

504
00:30:00,320 --> 00:30:04,160
Speaker 1: not focused, grouped and tested and like managed by an

505
00:30:04,320 --> 00:30:07,960
Speaker 1: entire corporation's worth of people, there's almost no chance he

506
00:30:08,000 --> 00:30:11,960
Speaker 1: wouldn't have a pony tail. I feel like that's very true. Yeah,

507
00:30:13,040 --> 00:30:15,920
Speaker 1: what what Joey Boy left to his own devices for

508
00:30:16,040 --> 00:30:19,320
Speaker 1: his dude dangle cross ear ring. He would be part

509
00:30:19,360 --> 00:30:23,440
Speaker 1: of some like Weekend Biker Gang. Definitely be a cover band.

510
00:30:25,320 --> 00:30:28,280
Speaker 1: What band though? I think it would probably be like

511
00:30:28,360 --> 00:30:33,480
Speaker 1: a Bruce Springsteen and what was his band's name street band? Yeah? Yeah, yeah, yeah,

512
00:30:34,040 --> 00:30:42,960
Speaker 1: Bruce Springsteen and the k Street Band. Right, Um, but yeah,

513
00:30:43,080 --> 00:30:44,920
Speaker 1: so I don't know this is going to continue to

514
00:30:45,000 --> 00:30:49,160
Speaker 1: be just a very interesting campaign to follow. But everyone

515
00:30:49,240 --> 00:30:51,840
Speaker 1: loves that song. Trump loves every Yeah, no, it's a

516
00:30:51,960 --> 00:30:54,920
Speaker 1: it's a great song. Uh it's not great for the

517
00:30:55,000 --> 00:30:58,480
Speaker 1: reasons that they think it's great, but you know, it's

518
00:30:58,560 --> 00:31:01,240
Speaker 1: the It works in a beer commercial, and so it

519
00:31:01,360 --> 00:31:06,360
Speaker 1: works for somebody who's trying to capture that part of Americana,

520
00:31:06,760 --> 00:31:09,480
Speaker 1: and that seems to be what what he's going for.

521
00:31:09,680 --> 00:31:11,680
Speaker 1: But this is kind of like the American mindset, right,

522
00:31:11,720 --> 00:31:15,000
Speaker 1: Like historical awareness and attention to detail nuances go out

523
00:31:15,120 --> 00:31:18,520
Speaker 1: the window when when we go into patriot mode. Yeah,

524
00:31:18,800 --> 00:31:23,640
Speaker 1: it's like, what man that I heard Iran is there

525
00:31:23,680 --> 00:31:26,440
Speaker 1: is a quote unquote increased threat that they can't really

526
00:31:26,520 --> 00:31:29,840
Speaker 1: specifically point to what it is. But I think I

527
00:31:30,000 --> 00:31:32,800
Speaker 1: hear that war drum solo in this distance and I'm

528
00:31:32,840 --> 00:31:36,880
Speaker 1: getting fucking pumped. Everything are the same as a rock man,

529
00:31:37,080 --> 00:31:41,440
Speaker 1: So so I gotta be a threat. Yeah, it's I

530
00:31:41,520 --> 00:31:44,280
Speaker 1: don't know. Ron has the whole nostalgia thing too. I

531
00:31:44,360 --> 00:31:46,960
Speaker 1: think it's like people of a certain age will be

532
00:31:47,080 --> 00:31:52,720
Speaker 1: like yeah, n Younger people are like, yeah, I have

533
00:31:52,840 --> 00:31:56,080
Speaker 1: lots of Persian friends exactly like this has nothing. I'm

534
00:31:56,080 --> 00:31:58,600
Speaker 1: like you can't just like, you know, drum up the

535
00:31:58,680 --> 00:32:03,040
Speaker 1: ghost of the up. And so I'm like, oh, yeah, man,

536
00:32:03,520 --> 00:32:06,200
Speaker 1: I get it because they're not even fucking like the

537
00:32:06,640 --> 00:32:09,280
Speaker 1: ship they're pointing to to try and create the outrage

538
00:32:09,320 --> 00:32:14,200
Speaker 1: for this conflict is so bullshit and like unconvincing. It's like, really,

539
00:32:14,480 --> 00:32:17,320
Speaker 1: we're I don't even know what what we're supposed to

540
00:32:17,360 --> 00:32:20,760
Speaker 1: get upset about here. Yeah, a Saudi oil ship, vague

541
00:32:20,920 --> 00:32:23,720
Speaker 1: Muslim stuff. I don't right, Yeah, And I think, yeah,

542
00:32:23,760 --> 00:32:26,680
Speaker 1: they're counting on maybe the baby boomers memory of the

543
00:32:26,760 --> 00:32:31,480
Speaker 1: Ayatollah plus the remnants of Islamophobia that are here from

544
00:32:31,560 --> 00:32:34,120
Speaker 1: nine eleven to be like is this enough. I'm sure

545
00:32:34,200 --> 00:32:37,720
Speaker 1: they were like which one, which one? Iran perfect, Yes,

546
00:32:37,840 --> 00:32:40,440
Speaker 1: It's like it's like but then, but thank god, the

547
00:32:40,600 --> 00:32:44,440
Speaker 1: actual military brass are like, oh, we got a lot

548
00:32:44,560 --> 00:32:47,440
Speaker 1: going on right now, and you don't want to do this.

549
00:32:48,080 --> 00:32:50,640
Speaker 1: This is We're not We're not ready and we don't

550
00:32:50,640 --> 00:32:54,320
Speaker 1: want that smoke. Anyways, if you listen to the mainstream media,

551
00:32:54,640 --> 00:32:57,160
Speaker 1: Joe Biden is a shoe in. But just I like

552
00:32:57,320 --> 00:33:04,040
Speaker 1: to remind myself. At this point in the Republican primary,

553
00:33:04,160 --> 00:33:06,840
Speaker 1: Trump was a month away from even joining the race.

554
00:33:06,960 --> 00:33:10,040
Speaker 1: So we're still very very early in the game. Uh,

555
00:33:10,320 --> 00:33:13,840
Speaker 1: you know, there's plenty of time for Biden to fade.

556
00:33:14,560 --> 00:33:17,680
Speaker 1: Oh yeah, I mean I'm hoping for some really cool

557
00:33:17,920 --> 00:33:21,280
Speaker 1: gaffs on that debate stage. I'm hoping for somebody to

558
00:33:21,440 --> 00:33:27,920
Speaker 1: press him about some ship and trying out of Yeah. Yeah,

559
00:33:29,160 --> 00:33:34,200
Speaker 1: and just a little bit more trouble in Paradise. The

560
00:33:34,320 --> 00:33:41,120
Speaker 1: president and his beloved uh Fox News are are having troubles. Yeah,

561
00:33:41,520 --> 00:33:45,560
Speaker 1: they're having you know, so saying what happened to the

562
00:33:45,680 --> 00:33:49,520
Speaker 1: man I married? What happens? Because I look in your

563
00:33:49,560 --> 00:33:53,240
Speaker 1: eyes and I don't see him anymore? Uh? You know.

564
00:33:53,320 --> 00:33:55,800
Speaker 1: He had a rally in Pennsylvania. First off, I just

565
00:33:55,920 --> 00:33:58,680
Speaker 1: want to say that I think seven people fainted during

566
00:33:58,720 --> 00:34:03,920
Speaker 1: this rally. I mean, he's at that Beetles Beatlemania level. Yeah. Well,

567
00:34:04,000 --> 00:34:06,680
Speaker 1: when you put a bunch of like octogenarians in an

568
00:34:06,720 --> 00:34:10,840
Speaker 1: eighty degree plus fucking airplane, hangar, that was one of them. Trump,

569
00:34:11,080 --> 00:34:13,640
Speaker 1: Yeah exactly. Well, he was also complaining, he was like

570
00:34:13,719 --> 00:34:16,239
Speaker 1: what are these lights? Like? Yeah, He's like, who who

571
00:34:16,280 --> 00:34:18,000
Speaker 1: do this? Who are the stupid people who who thought

572
00:34:18,040 --> 00:34:19,640
Speaker 1: this was a good idea? It's like really odd. It

573
00:34:19,840 --> 00:34:22,640
Speaker 1: is like one of the most Trumpian things I've ever seen,

574
00:34:22,760 --> 00:34:25,160
Speaker 1: because he turned on the lighting people and like got

575
00:34:25,200 --> 00:34:27,920
Speaker 1: the crowd behind hating the lighting people. He's like, who

576
00:34:27,960 --> 00:34:30,640
Speaker 1: are these idiots doing the light for me? The people

577
00:34:30,719 --> 00:34:32,680
Speaker 1: doing the light I need so you can blow out

578
00:34:32,719 --> 00:34:36,920
Speaker 1: my wrinkles. But it's so lit um literally um, but yeah,

579
00:34:36,920 --> 00:34:39,840
Speaker 1: I guess seven people. It was like interrupting the speech

580
00:34:39,920 --> 00:34:41,759
Speaker 1: and stuff where like throughout like it was like in

581
00:34:41,880 --> 00:34:44,200
Speaker 1: fifteen minute increments, someone would go down and I was like,

582
00:34:44,440 --> 00:34:46,880
Speaker 1: we're gonna need a doctor over here, and then twenty

583
00:34:46,920 --> 00:34:49,520
Speaker 1: minutes later we're gonna he actually credit hims like we'll

584
00:34:49,560 --> 00:34:55,480
Speaker 1: need that same doctor. I'm surprised he didn't go get

585
00:34:55,520 --> 00:34:58,440
Speaker 1: this guy out of here. It's like, yeah, knock the

586
00:34:58,520 --> 00:35:01,879
Speaker 1: hell out of him, loser, you could handle it. Also

587
00:35:02,000 --> 00:35:04,040
Speaker 1: very trumpying in that he blamed it on the lights,

588
00:35:04,120 --> 00:35:06,680
Speaker 1: which clearly was not the problem because he's the only

589
00:35:06,760 --> 00:35:09,560
Speaker 1: one getting the lights, So that just assumes that's what's

590
00:35:09,600 --> 00:35:13,080
Speaker 1: making it hot for everybody. Happening is happening to everyone.

591
00:35:13,160 --> 00:35:15,000
Speaker 1: But you know that didn't stop him from doing his

592
00:35:15,080 --> 00:35:17,960
Speaker 1: whole full on Trump dementia jazz solo like he normally

593
00:35:18,000 --> 00:35:20,719
Speaker 1: does when he goes off prompter um. So you know,

594
00:35:20,880 --> 00:35:23,000
Speaker 1: there were two main things I think that stuck out

595
00:35:23,040 --> 00:35:26,200
Speaker 1: for people throughout this rally. Like one was, you know,

596
00:35:26,280 --> 00:35:28,480
Speaker 1: he's afraid. I think he thinks Joe Biden will actually

597
00:35:28,520 --> 00:35:30,840
Speaker 1: beat him up in a street fight. Well, he's just

598
00:35:31,560 --> 00:35:34,840
Speaker 1: he was. He couldn't stop going on slightly cooler old guys.

599
00:35:35,000 --> 00:35:38,439
Speaker 1: Yeah exactly who like doesn't care that his hair looks

600
00:35:38,480 --> 00:35:43,680
Speaker 1: like who knows whatever that is? But like silver fun Yeah,

601
00:35:44,080 --> 00:35:47,040
Speaker 1: but in the very beginnings of spinning silver, you don't

602
00:35:47,080 --> 00:35:49,759
Speaker 1: have the full thing yet. Um. You know, he kept

603
00:35:49,800 --> 00:35:52,400
Speaker 1: saying like, oh, you know, he abandoned you. He abandoned

604
00:35:52,440 --> 00:35:55,160
Speaker 1: this state when he left Scranton. He was ten years

605
00:35:55,200 --> 00:35:57,200
Speaker 1: old when he left. It's not like he was this

606
00:35:57,360 --> 00:35:59,200
Speaker 1: fucking sent you know what. I Like, I don't know

607
00:35:59,320 --> 00:36:01,440
Speaker 1: what he was trying to says, like and all the jobs,

608
00:36:01,640 --> 00:36:03,799
Speaker 1: what did he do for you? Like, and kept trying

609
00:36:03,840 --> 00:36:06,000
Speaker 1: to hit this point that like Joe Biden's a fucking

610
00:36:06,040 --> 00:36:09,799
Speaker 1: turn code on the state of Pennsylvania, Like okay, fine, um,

611
00:36:10,160 --> 00:36:13,160
Speaker 1: And then you know, did his usual ship like democrats

612
00:36:13,280 --> 00:36:15,160
Speaker 1: or trees and this and the FBI trees and this,

613
00:36:15,360 --> 00:36:17,600
Speaker 1: you know the usual things that come out during those solos.

614
00:36:18,160 --> 00:36:21,560
Speaker 1: Then he started talking about Fox and just very disappointed

615
00:36:21,800 --> 00:36:24,800
Speaker 1: that they've been He's like, what's all these democrats on Fox?

616
00:36:25,760 --> 00:36:27,719
Speaker 1: And was like kind of doing it in a hurt way,

617
00:36:27,800 --> 00:36:30,040
Speaker 1: where like you're passive aggressive, you're not full through, and

618
00:36:30,080 --> 00:36:32,520
Speaker 1: that's not like saying Fox News is fucked up for

619
00:36:32,560 --> 00:36:34,520
Speaker 1: putting these people. And he goes, I don't get what's

620
00:36:34,520 --> 00:36:36,439
Speaker 1: going on in Fox. We got I don't know what's

621
00:36:36,440 --> 00:36:39,239
Speaker 1: going on with these people there. I don't know. I guess, uh,

622
00:36:39,360 --> 00:36:41,400
Speaker 1: that's I guess we'll have to see what's going on

623
00:36:41,520 --> 00:36:44,680
Speaker 1: with them. Like so hurt, it's not just like this

624
00:36:44,840 --> 00:36:47,640
Speaker 1: is unacceptable? What are you doing? What are you thinking?

625
00:36:48,239 --> 00:36:51,040
Speaker 1: And you know he because I think he realizes too,

626
00:36:51,880 --> 00:36:54,760
Speaker 1: there is more and more you do start seeing takes

627
00:36:54,840 --> 00:36:59,200
Speaker 1: from Fox people who are very not Foxy, rather like yeah,

628
00:36:59,280 --> 00:37:02,960
Speaker 1: this like what he's doing is technically impeachable, or these

629
00:37:03,000 --> 00:37:06,000
Speaker 1: other things where they can't just fucking you know, told

630
00:37:06,040 --> 00:37:08,200
Speaker 1: the line like they used to. And I think that's

631
00:37:08,239 --> 00:37:11,200
Speaker 1: probably a very that would make me nervous if I

632
00:37:11,320 --> 00:37:14,640
Speaker 1: was Trump, because if Fox starts to show signs of

633
00:37:14,800 --> 00:37:17,759
Speaker 1: that relationship weakening, that could harm you a bit. But

634
00:37:18,239 --> 00:37:20,080
Speaker 1: it was clear because when he started saying, like, what's

635
00:37:20,120 --> 00:37:23,319
Speaker 1: going on with them? People started booing? So were they

636
00:37:23,320 --> 00:37:26,239
Speaker 1: booing Fox or Trump? Yeah? Fox? Because he was like,

637
00:37:26,440 --> 00:37:27,680
Speaker 1: He's like, they want up, they want to take my

638
00:37:27,800 --> 00:37:30,400
Speaker 1: time putting Democrats on the Republicans. What's going on with that?

639
00:37:30,880 --> 00:37:33,239
Speaker 1: And a few people like yeah, boo boom, And I

640
00:37:33,280 --> 00:37:35,719
Speaker 1: think other people were quite putting it together. They're like

641
00:37:35,760 --> 00:37:40,160
Speaker 1: are we booing or wooing? Yeah? Were still watching Fox? Seven? Yeah,

642
00:37:40,520 --> 00:37:42,399
Speaker 1: It's like where do where do I go? If it's

643
00:37:42,440 --> 00:37:45,160
Speaker 1: not Fox? What sounds should I have on in the

644
00:37:45,200 --> 00:37:49,000
Speaker 1: background all the time? One American news one American news network.

645
00:37:49,000 --> 00:37:52,360
Speaker 1: You're gonna love it? Oh man, just the garbage that

646
00:37:52,880 --> 00:37:55,719
Speaker 1: a thing? Oh yeah, yeah, yeah, I think that's the one, right, Yeah.

647
00:37:55,800 --> 00:37:58,080
Speaker 1: And I mean Trump at one point was like talking

648
00:37:58,160 --> 00:38:03,399
Speaker 1: about making his own news station right before the yeah,

649
00:38:04,120 --> 00:38:06,120
Speaker 1: which he had lost. We would be dealing with that

650
00:38:06,600 --> 00:38:10,960
Speaker 1: right now with a Trump competitor to Murdoch. Yeah, As

651
00:38:11,040 --> 00:38:14,400
Speaker 1: it is, he talks to Rupert Murdoch like daily, and

652
00:38:14,560 --> 00:38:18,320
Speaker 1: so every everything he does, like he kind of tanked

653
00:38:18,360 --> 00:38:21,200
Speaker 1: Sinclair a little bit with some of the stuff that

654
00:38:21,320 --> 00:38:25,840
Speaker 1: he's blocked and let pass because talks to him every

655
00:38:25,960 --> 00:38:28,880
Speaker 1: fucking day. Yeah, he killed that Sinclair murger because Rubert

656
00:38:28,920 --> 00:38:31,920
Speaker 1: murder it would have hurt Rupert Murdoch. Um. Kind of

657
00:38:31,960 --> 00:38:34,640
Speaker 1: good for us on that. Yeah. Yeah, I'm glad Sinclair

658
00:38:34,640 --> 00:38:38,200
Speaker 1: didn't own up like every fucking local station. Yeah. Um,

659
00:38:38,560 --> 00:38:42,799
Speaker 1: let's talk about the e p A. Yeah, I mean

660
00:38:42,880 --> 00:38:45,799
Speaker 1: a lot's changed with this new new administration. It used

661
00:38:45,840 --> 00:38:48,080
Speaker 1: to protect us and now they're just trying to change

662
00:38:48,200 --> 00:38:51,440
Speaker 1: math obscure the fact that they are harming us. So

663
00:38:52,280 --> 00:38:54,960
Speaker 1: for those who don't know, including myself until I read

664
00:38:54,960 --> 00:38:57,920
Speaker 1: the article, like most people. Okay, so it seems like

665
00:38:58,000 --> 00:39:00,640
Speaker 1: since Trump took office, their whole sort of north star

666
00:39:00,719 --> 00:39:04,160
Speaker 1: has been just whatever Obama did, undo it. That's just

667
00:39:04,280 --> 00:39:06,160
Speaker 1: all we need to know. And then if you have

668
00:39:06,280 --> 00:39:08,920
Speaker 1: to prove that that's gonna do good for people, then

669
00:39:09,040 --> 00:39:11,160
Speaker 1: do whatever you have to do. And so case in

670
00:39:11,239 --> 00:39:15,440
Speaker 1: point is this Clean Power Plan, which was one of Obama's,

671
00:39:15,480 --> 00:39:17,640
Speaker 1: like it was like one of his climate change measures, Like, Yo,

672
00:39:17,719 --> 00:39:19,480
Speaker 1: we got to check these coal plants, we need to

673
00:39:19,520 --> 00:39:22,040
Speaker 1: switch to renewables. We need to watch like particulate matter

674
00:39:22,120 --> 00:39:24,440
Speaker 1: in the air because it's affecting people's like it's causing

675
00:39:24,440 --> 00:39:28,640
Speaker 1: premature deaths. Um and so the Trump administration is trying

676
00:39:28,640 --> 00:39:30,799
Speaker 1: to do away with that, but to justify it, they

677
00:39:30,880 --> 00:39:33,600
Speaker 1: have to demonstrate that, Okay, whatever this new policy is

678
00:39:33,680 --> 00:39:36,040
Speaker 1: going to at least have some kind of perceived benefit

679
00:39:36,640 --> 00:39:39,880
Speaker 1: to the people. And the analysis before they were pointing

680
00:39:39,920 --> 00:39:43,480
Speaker 1: to about premature deaths, like with the current modeling they've

681
00:39:43,560 --> 00:39:45,640
Speaker 1: used to analyze what this new bill would do, and

682
00:39:45,719 --> 00:39:48,560
Speaker 1: they're like, we gotta make that look like it's gonna

683
00:39:48,680 --> 00:39:51,879
Speaker 1: be good. So they are now switching or the word

684
00:39:51,960 --> 00:39:54,200
Speaker 1: is that they're switching to a completely different method of

685
00:39:54,320 --> 00:39:57,600
Speaker 1: calculating this that like goes against like decades of research

686
00:39:57,760 --> 00:40:00,439
Speaker 1: and like it's unseen the kind of math they're using

687
00:40:00,520 --> 00:40:03,080
Speaker 1: to do this, and it's also not peer reviewed, right

688
00:40:03,120 --> 00:40:06,160
Speaker 1: exactly at all, And it's not like it's not a

689
00:40:06,280 --> 00:40:09,000
Speaker 1: new thing like with an administration to try and you know,

690
00:40:09,920 --> 00:40:12,239
Speaker 1: change the analysis a bit to like sort of fit

691
00:40:12,320 --> 00:40:15,000
Speaker 1: whatever their policy aim is, but it's usually not done

692
00:40:15,040 --> 00:40:18,040
Speaker 1: to this extent where you're like disregarding like like like

693
00:40:18,120 --> 00:40:22,759
Speaker 1: sort of widely accepted analytical models and the scientific consensus

694
00:40:22,880 --> 00:40:26,399
Speaker 1: is only getting stronger and stronger. Yeah, I mean, well,

695
00:40:26,600 --> 00:40:30,360
Speaker 1: this particular thing on particular matter, like not only is

696
00:40:30,520 --> 00:40:33,640
Speaker 1: the science that they're using. I'm using air quotes that

697
00:40:33,680 --> 00:40:38,800
Speaker 1: people can't see. Yeah, Like not only is that not

698
00:40:39,440 --> 00:40:42,400
Speaker 1: peer reviewed or vetted in any way, but it actually

699
00:40:42,560 --> 00:40:45,239
Speaker 1: goes against all the science that is peer reviewed. So

700
00:40:45,400 --> 00:40:49,480
Speaker 1: what they're basically seeing is that like you know, actually

701
00:40:49,880 --> 00:40:55,040
Speaker 1: you don't need to account for the impacts on people

702
00:40:56,200 --> 00:41:01,000
Speaker 1: of particular matter under the two point five or whatever.

703
00:41:01,320 --> 00:41:05,440
Speaker 1: Yeah that like, oh, you know, as long as like

704
00:41:05,520 --> 00:41:07,560
Speaker 1: you're as long as you're looking out for like this

705
00:41:08,239 --> 00:41:11,279
Speaker 1: stuff over here, like this other stuff doesn't matter, which

706
00:41:11,360 --> 00:41:16,600
Speaker 1: is not how it works by people. Yeah. Yeah, And

707
00:41:17,000 --> 00:41:20,239
Speaker 1: there's actually there's a guy who um lad the e

708
00:41:20,360 --> 00:41:23,160
Speaker 1: p A transition team for Trump and who were not

709
00:41:24,520 --> 00:41:29,080
Speaker 1: fat but a different a guy named Steve Malloy. He

710
00:41:29,239 --> 00:41:33,680
Speaker 1: runs a site called junk science dot com. He's like

711
00:41:33,800 --> 00:41:38,239
Speaker 1: a lifelong hack for the oil industry. Now he's working

712
00:41:38,320 --> 00:41:41,600
Speaker 1: for the coal industry, and he led the Trump transition

713
00:41:41,640 --> 00:41:43,520
Speaker 1: team for the e p A. And he's been giving

714
00:41:43,600 --> 00:41:46,200
Speaker 1: this presentation all around, like he he also led this

715
00:41:46,360 --> 00:41:48,719
Speaker 1: thing that was going on like an attack on the

716
00:41:48,800 --> 00:41:51,480
Speaker 1: EPA for a while that was like, which, first of all,

717
00:41:51,719 --> 00:41:53,880
Speaker 1: you know, the guy in charge of transitioning the e

718
00:41:53,960 --> 00:41:56,800
Speaker 1: p A like basically has been trying to not have

719
00:41:56,960 --> 00:42:00,680
Speaker 1: the forever this entire career, or has been like how

720
00:42:00,719 --> 00:42:03,879
Speaker 1: do we destroy the e p A? So like yeah,

721
00:42:04,080 --> 00:42:07,279
Speaker 1: and then yeah, he's been giving this presentation for like

722
00:42:07,680 --> 00:42:10,880
Speaker 1: at least a year um with this exact plan, like

723
00:42:11,000 --> 00:42:13,440
Speaker 1: if we can get them to sort of like you know,

724
00:42:13,600 --> 00:42:17,040
Speaker 1: if we can kind of push this this other alternative theory,

725
00:42:17,600 --> 00:42:19,360
Speaker 1: then we can get them to roll this back because

726
00:42:19,360 --> 00:42:22,239
Speaker 1: of course, like PM two point five is the thing

727
00:42:22,400 --> 00:42:26,680
Speaker 1: that coal plants emit, so he it's like a lobbyist

728
00:42:26,719 --> 00:42:29,640
Speaker 1: for the coal industry basically that has like brought this

729
00:42:29,760 --> 00:42:35,080
Speaker 1: whole thing forward. Yeah. Yeah, it's just it sucks because

730
00:42:35,120 --> 00:42:38,799
Speaker 1: there are a lot of lifelong ep A people who

731
00:42:38,960 --> 00:42:41,520
Speaker 1: are trying to do their jobs still and are a

732
00:42:41,640 --> 00:42:44,960
Speaker 1: lot of them are actually like hanging in specifically to

733
00:42:45,080 --> 00:42:51,560
Speaker 1: combat this stuff. Female But yeah, it's it's funny because

734
00:42:51,719 --> 00:42:53,719
Speaker 1: it's like, on one hand, you have like economists at

735
00:42:53,760 --> 00:42:56,480
Speaker 1: the Treasury Department like leaving because they're tired of like

736
00:42:57,840 --> 00:43:00,560
Speaker 1: like this is fucking actual analysis with the fuck tiger.

737
00:43:00,760 --> 00:43:03,160
Speaker 1: Why are you punishing me because I'm telling you this

738
00:43:03,360 --> 00:43:06,440
Speaker 1: bullshit policy is going to harm people, And like those

739
00:43:06,480 --> 00:43:08,600
Speaker 1: people have thrown. I get it to like, if you're

740
00:43:08,640 --> 00:43:10,400
Speaker 1: really trying to make a difference and people are like

741
00:43:10,600 --> 00:43:13,640
Speaker 1: you're being vilified for it, that's a terrible environment. And

742
00:43:13,719 --> 00:43:15,839
Speaker 1: so it's not to say that all those people who

743
00:43:15,920 --> 00:43:18,920
Speaker 1: left are cowards or anything, but it's I understand too, like,

744
00:43:19,120 --> 00:43:21,040
Speaker 1: especially for people at the e p A to like

745
00:43:22,640 --> 00:43:25,360
Speaker 1: just hang, if I leave, then some guy with like

746
00:43:25,440 --> 00:43:27,000
Speaker 1: a T I A E three is just gonna hit

747
00:43:27,040 --> 00:43:31,279
Speaker 1: Matt random numbers like see equal zero equals death. Yeah.

748
00:43:31,400 --> 00:43:34,000
Speaker 1: Well yeah, So Malloy for a while had been pushing

749
00:43:34,120 --> 00:43:36,360
Speaker 1: this idea. I can't remember the exact name of it,

750
00:43:36,440 --> 00:43:39,239
Speaker 1: but it's something like false science or whatever. At the

751
00:43:39,280 --> 00:43:41,200
Speaker 1: e p A where he was he was trying to

752
00:43:41,320 --> 00:43:45,279
Speaker 1: say that the e p a s science on particulate

753
00:43:45,360 --> 00:43:48,760
Speaker 1: matter is like totally on, you know, baseless and unfounded.

754
00:43:48,800 --> 00:43:55,200
Speaker 1: It's actually like the most solid science of like any regulation, um,

755
00:43:55,320 --> 00:43:58,800
Speaker 1: And he was pushing for kind of like a level

756
00:43:58,960 --> 00:44:02,800
Speaker 1: of scientifics ty that's basically impossible to hit. So he

757
00:44:02,960 --> 00:44:05,240
Speaker 1: was like, if we can pass this thing, then basically

758
00:44:05,320 --> 00:44:07,799
Speaker 1: like there's no science DP could ever do that would

759
00:44:07,800 --> 00:44:10,600
Speaker 1: actually meet this criteria because that's not how science works.

760
00:44:11,480 --> 00:44:14,640
Speaker 1: That didn't work. So now he's pushing this like, let's

761
00:44:14,760 --> 00:44:18,920
Speaker 1: use this alternate model that's just as good, except it's

762
00:44:19,040 --> 00:44:21,640
Speaker 1: not be reviewed and like, and it's not been vetted

763
00:44:21,719 --> 00:44:24,320
Speaker 1: by anyone, and it's all meant to bring coal powered

764
00:44:24,400 --> 00:44:28,359
Speaker 1: plants back online exactly, which is on the whole point,

765
00:44:28,680 --> 00:44:32,200
Speaker 1: to go back in time fifty years. He promised the

766
00:44:32,320 --> 00:44:35,000
Speaker 1: coal industry that it was going to be like nineteen

767
00:44:35,120 --> 00:44:37,919
Speaker 1: ninety again or ninth whatever Pete Cole was. But yeah,

768
00:44:37,920 --> 00:44:40,040
Speaker 1: I think that was the sort of point because even

769
00:44:40,080 --> 00:44:43,319
Speaker 1: the bill that that the Trump administrations putting forward, it's

770
00:44:43,320 --> 00:44:47,000
Speaker 1: like only minimally makes certain coal plants more efficient. So

771
00:44:47,120 --> 00:44:50,880
Speaker 1: it's not like it's groundbreaking by any means. It's just like, yeah, sorry,

772
00:44:50,920 --> 00:44:55,080
Speaker 1: Obama was like understood how bad coal powered energy generation was.

773
00:44:55,680 --> 00:44:58,160
Speaker 1: I'm gonna we'll come back and we'll just fudge the

774
00:44:58,280 --> 00:45:01,080
Speaker 1: numbers so it doesn't look like people might dive prematurely

775
00:45:01,160 --> 00:45:03,960
Speaker 1: from strokes or things like that. Have they thought about

776
00:45:04,719 --> 00:45:08,799
Speaker 1: looking into whether the global warming is being caused by

777
00:45:08,880 --> 00:45:12,320
Speaker 1: those lights at the Trump rally. Maybe that's totally a

778
00:45:12,440 --> 00:45:16,080
Speaker 1: theory they would pursue. Yeah, that could They all pinned

779
00:45:16,160 --> 00:45:20,520
Speaker 1: on one guy, right, this guy, he's been putting lights up.

780
00:45:21,800 --> 00:45:26,200
Speaker 1: Somehow we're close to some ship like that. It's like,

781
00:45:26,239 --> 00:45:30,200
Speaker 1: after an investigation on all these school shootings and the

782
00:45:30,280 --> 00:45:34,160
Speaker 1: opioid crisis and global warming, we found his singular ships.

783
00:45:34,520 --> 00:45:38,839
Speaker 1: Joe Biden, pick his ass. Go all right, we're gonna

784
00:45:38,840 --> 00:45:51,120
Speaker 1: take a quick break. We'll be right back. And we're back,

785
00:45:52,040 --> 00:45:54,800
Speaker 1: and it's time to check in with the box office.

786
00:45:54,880 --> 00:45:56,640
Speaker 1: We like to look at the box office to see

787
00:45:57,239 --> 00:46:01,960
Speaker 1: what Americans are thinking about feeling, and right now America

788
00:46:02,360 --> 00:46:06,000
Speaker 1: is fucking with John Wick in a major way. John

789
00:46:06,040 --> 00:46:11,359
Speaker 1: Wick three came out over the weekend, and so john

790
00:46:11,440 --> 00:46:13,840
Speaker 1: Wick one was like a hit, but it was like

791
00:46:13,880 --> 00:46:17,400
Speaker 1: a surprise sleeper hit. People didn't see it coming. And

792
00:46:18,040 --> 00:46:22,200
Speaker 1: john Wick two came out and it doubled the box

793
00:46:22,280 --> 00:46:25,640
Speaker 1: office of the first one. Doubled it, Yeah, doubled it.

794
00:46:25,760 --> 00:46:28,000
Speaker 1: John Wick two doubled the box office. I guess that

795
00:46:28,080 --> 00:46:29,839
Speaker 1: makes sense because most people, I think, caught onto John

796
00:46:29,880 --> 00:46:32,000
Speaker 1: Wick after the fact. So john Wick three came out

797
00:46:32,040 --> 00:46:35,919
Speaker 1: this past weekend and doubled john Wick two. So which

798
00:46:36,520 --> 00:46:41,240
Speaker 1: so the this dude, Scott Mendelssohn, h Scott Mendelssohn writes

799
00:46:41,280 --> 00:46:46,160
Speaker 1: about the box office, and he said this is completely unprecedented.

800
00:46:46,280 --> 00:46:48,640
Speaker 1: The only times that it's happened in the past are

801
00:46:49,320 --> 00:46:53,120
Speaker 1: with Toy Story and Captain America. And he pointed out

802
00:46:53,200 --> 00:46:57,839
Speaker 1: that Toy Story had a decade break between two and three, so, uh,

803
00:46:58,080 --> 00:47:01,280
Speaker 1: you know you have inflation and more people, more people.

804
00:47:01,800 --> 00:47:05,359
Speaker 1: Uh so. And then Captain America's third movie was Civil War,

805
00:47:05,520 --> 00:47:08,960
Speaker 1: which was basically an Avengers movies. They were adding all

806
00:47:09,040 --> 00:47:11,840
Speaker 1: these new elements to it, and Toy Story three was

807
00:47:11,880 --> 00:47:17,000
Speaker 1: adding the element of sadness, uh and just just existential

808
00:47:17,080 --> 00:47:22,759
Speaker 1: drid But but John Wick three, the only thing it

809
00:47:22,800 --> 00:47:25,840
Speaker 1: added was like a cameo from halle Berry and I

810
00:47:25,920 --> 00:47:30,680
Speaker 1: think there was more dogs, right, But he was just saying,

811
00:47:30,800 --> 00:47:34,160
Speaker 1: it's really a testament to what originality and like a

812
00:47:34,280 --> 00:47:38,120
Speaker 1: homegrown franchise can do if you like actually create a

813
00:47:38,200 --> 00:47:41,720
Speaker 1: new franchise that's like just based on this very simple

814
00:47:41,840 --> 00:47:46,279
Speaker 1: idea of like what if the best assassin instead of

815
00:47:46,480 --> 00:47:49,279
Speaker 1: just like you know, Bond being a pretty good one,

816
00:47:49,400 --> 00:47:50,840
Speaker 1: Like what if it was a guy who was like

817
00:47:50,920 --> 00:47:54,359
Speaker 1: almost supernaturally good at killing people. And then I also

818
00:47:54,440 --> 00:47:56,840
Speaker 1: think there's like a moneyball aspect to it, in the

819
00:47:56,920 --> 00:48:01,640
Speaker 1: sense that they noted there was this headitive advantage with

820
00:48:02,160 --> 00:48:06,960
Speaker 1: stunt coordinators directing movies and foreign like the Raid movies

821
00:48:07,120 --> 00:48:10,600
Speaker 1: were these action movies that like broke out internationally kind

822
00:48:10,640 --> 00:48:13,920
Speaker 1: of out of nowhere, and they were made by a

823
00:48:14,080 --> 00:48:18,440
Speaker 1: stunt coordinator, And so they gave a stunt coordinator a

824
00:48:18,560 --> 00:48:25,680
Speaker 1: movie with like America's favorite movie action hero. And as

825
00:48:25,800 --> 00:48:29,560
Speaker 1: with Moneyball, where the second person who figures this thing

826
00:48:29,680 --> 00:48:32,880
Speaker 1: out ends up doing better because they like make small

827
00:48:32,920 --> 00:48:36,320
Speaker 1: corrections to it, because you know, Oakland did well that

828
00:48:36,400 --> 00:48:38,600
Speaker 1: they didn't actually win at all, and then Boston used

829
00:48:38,680 --> 00:48:41,120
Speaker 1: that theory to win the World Series. Like I think

830
00:48:41,239 --> 00:48:46,479
Speaker 1: John Wick is the Boston in that because it's yeah,

831
00:48:47,120 --> 00:48:50,360
Speaker 1: I mean, Yankees might not like it, but they're the

832
00:48:50,440 --> 00:48:58,000
Speaker 1: evil Empire, so um wow, someone's fan sucks. But anyways, yeah,

833
00:48:58,040 --> 00:49:02,560
Speaker 1: it's an unprecedented like rise, he said, It's borderline miraculous,

834
00:49:02,800 --> 00:49:07,280
Speaker 1: especially in this world where you know Netflix is killing

835
00:49:08,040 --> 00:49:12,400
Speaker 1: original movies according to everybody. Yeah, well, I think again

836
00:49:12,480 --> 00:49:15,080
Speaker 1: it is. It's like when they say the directors for

837
00:49:15,200 --> 00:49:17,560
Speaker 1: action scenes or action films normally be like, all right,

838
00:49:17,560 --> 00:49:19,719
Speaker 1: I get with this stunt coordinator. I like, how do

839
00:49:19,800 --> 00:49:21,759
Speaker 1: we make this fight look cool? And then they tell you.

840
00:49:21,880 --> 00:49:23,520
Speaker 1: But then the director is ultimately going to be like, oh,

841
00:49:23,600 --> 00:49:25,640
Speaker 1: I want to do this and this. They're just like, hey,

842
00:49:25,719 --> 00:49:28,520
Speaker 1: guys who always think up the wild stunt scenes, what

843
00:49:28,640 --> 00:49:30,520
Speaker 1: if you just sucking made a whole movie? What does

844
00:49:30,560 --> 00:49:34,080
Speaker 1: that look like? And they're like, oh really yeah, John Wick,

845
00:49:34,520 --> 00:49:38,480
Speaker 1: And everyone's like, what the fun because it really does.

846
00:49:38,680 --> 00:49:41,480
Speaker 1: It's like it's like a it's it's almost yeah you could.

847
00:49:41,520 --> 00:49:44,640
Speaker 1: These stunt coordinators are like just doing their wildest dreams

848
00:49:44,840 --> 00:49:48,560
Speaker 1: getting to put them on screen, and they're not pretending

849
00:49:48,640 --> 00:49:52,000
Speaker 1: that action movies are about anything else. Yeah, let's just

850
00:49:52,120 --> 00:49:54,239
Speaker 1: go for it. That's what people like in these the

851
00:49:54,360 --> 00:49:57,480
Speaker 1: most simple I'm just looking at your script like, I mean,

852
00:49:57,520 --> 00:50:01,640
Speaker 1: there's no exposition here, what's the siting incident? The guy's

853
00:50:01,719 --> 00:50:06,520
Speaker 1: dog gets killed, right, and that's the rest. But it

854
00:50:06,680 --> 00:50:11,800
Speaker 1: is it's almost like a comically simplified movie like Premise,

855
00:50:11,960 --> 00:50:14,759
Speaker 1: because it's just like the dog being killed is like

856
00:50:14,840 --> 00:50:17,040
Speaker 1: the one thing you don't do in a movie, so

857
00:50:17,200 --> 00:50:19,719
Speaker 1: like they're just like, that's enough to drive him to

858
00:50:19,880 --> 00:50:23,160
Speaker 1: be the best killer ever. Um, and then the bad

859
00:50:23,200 --> 00:50:26,319
Speaker 1: guys are all like comically bad. Uh, it's a it's

860
00:50:26,360 --> 00:50:30,000
Speaker 1: a lot of fun. Um. Pokemon also is blowing up

861
00:50:30,040 --> 00:50:33,680
Speaker 1: in the box office for a video game movie. It's

862
00:50:33,680 --> 00:50:36,640
Speaker 1: probably gonna end up being the biggest video game movie ever,

863
00:50:36,840 --> 00:50:39,959
Speaker 1: which I always thought. I always associated Pokemon with trading cards,

864
00:50:40,000 --> 00:50:44,560
Speaker 1: but apparently as a video game friendship franchise, first lot

865
00:50:44,680 --> 00:50:48,239
Speaker 1: of cartoons. Yeah, but they were pointing out in this

866
00:50:48,400 --> 00:50:53,480
Speaker 1: same article that video game movies are typically eight of

867
00:50:53,840 --> 00:50:57,920
Speaker 1: their box office comes from international markets, and this Pokemon

868
00:50:58,040 --> 00:51:02,399
Speaker 1: movie is notable for being like high thirty percent coming

869
00:51:02,440 --> 00:51:06,239
Speaker 1: from North America. So it kind of raised the question

870
00:51:06,280 --> 00:51:09,479
Speaker 1: to me of like why video games are so much

871
00:51:10,560 --> 00:51:14,600
Speaker 1: less interesting to audiences in the US, like disproportionately to

872
00:51:15,440 --> 00:51:20,680
Speaker 1: other markets. And uh, super producer Daniel Goodman was saying

873
00:51:20,719 --> 00:51:22,839
Speaker 1: that he thought it had something to do with how

874
00:51:23,440 --> 00:51:26,560
Speaker 1: video games were marketed. Like toys. R US had this

875
00:51:27,560 --> 00:51:31,520
Speaker 1: policy where they didn't market any toys to boys and girls.

876
00:51:31,560 --> 00:51:34,160
Speaker 1: It was either boys or girls. You like came in

877
00:51:34,280 --> 00:51:36,279
Speaker 1: and said this is a toy for boys or this

878
00:51:36,360 --> 00:51:39,200
Speaker 1: is a toy for girls. And so Nintendo had to

879
00:51:39,280 --> 00:51:43,400
Speaker 1: do that in America and made it specifically for boys.

880
00:51:44,239 --> 00:51:48,640
Speaker 1: And so they basically imprinted early in their cultural relationship

881
00:51:48,719 --> 00:51:51,239
Speaker 1: to the video games that it's a nerdy thing. For

882
00:51:51,360 --> 00:51:57,120
Speaker 1: boys who don't interact with girls. Uh, and boys eventually

883
00:51:57,160 --> 00:52:01,040
Speaker 1: became protective of it thanks to gamer Gate. But yeah,

884
00:52:01,200 --> 00:52:04,040
Speaker 1: so it became I don't know, and then Pokemon because

885
00:52:04,080 --> 00:52:08,440
Speaker 1: it also had this larger universe of trading cards and

886
00:52:08,840 --> 00:52:12,279
Speaker 1: other things, and the characters are just fucking adorable, like

887
00:52:12,360 --> 00:52:18,920
Speaker 1: it has like the characters fucking adorable, but there so

888
00:52:19,080 --> 00:52:24,120
Speaker 1: it's like a less binary gendered relationship of the characters

889
00:52:24,480 --> 00:52:27,680
Speaker 1: to like boys versus girls. And so maybe that's helping

890
00:52:28,000 --> 00:52:31,359
Speaker 1: with why the movie is breaking out a little bit

891
00:52:31,400 --> 00:52:35,200
Speaker 1: more than your typical video game movie. Like Rampage and

892
00:52:35,560 --> 00:52:39,759
Speaker 1: um World of Warcraft were both movies that were kind

893
00:52:39,800 --> 00:52:44,200
Speaker 1: of middling to underperforming in the United States, but they

894
00:52:44,239 --> 00:52:47,960
Speaker 1: were monster hits overseas. But those are franchises that are

895
00:52:48,040 --> 00:52:50,480
Speaker 1: like very just you know, Rampage was more of like

896
00:52:50,520 --> 00:52:52,879
Speaker 1: an arcade game, right that was like when you used

897
00:52:52,920 --> 00:52:56,839
Speaker 1: to just fight on buildings with your animals. But also

898
00:52:56,880 --> 00:52:59,560
Speaker 1: aren't those I mean, I feel like those games are

899
00:52:59,680 --> 00:53:03,200
Speaker 1: much more like aggressive fighting games, and Pokemon is like

900
00:53:05,040 --> 00:53:07,560
Speaker 1: there's a little more when it is violent. I've seen

901
00:53:07,760 --> 00:53:12,479
Speaker 1: I've seen it, I've seen Detective Pikachuh, I have kids,

902
00:53:15,920 --> 00:53:19,800
Speaker 1: um it was fine. I mean, like I have to

903
00:53:19,880 --> 00:53:21,960
Speaker 1: see a lot of these movies with the children, and

904
00:53:22,120 --> 00:53:25,120
Speaker 1: like as movies that I'm I'm like seeing because I'm

905
00:53:25,239 --> 00:53:28,600
Speaker 1: there as a parent. It was like, you know, entertaining.

906
00:53:30,000 --> 00:53:37,479
Speaker 1: We could choose very cute, which one's Detective Pikachu, which

907
00:53:37,560 --> 00:53:41,360
Speaker 1: one which is really violent? Yeah, it's true. I probably

908
00:53:41,360 --> 00:53:43,360
Speaker 1: shouldn't have taken I was just joking. I didn't know

909
00:53:43,480 --> 00:53:46,040
Speaker 1: if it was violent. I mean, it's not like that violent,

910
00:53:46,200 --> 00:53:47,759
Speaker 1: but I don't know. It's just it's like I don't

911
00:53:47,840 --> 00:53:50,640
Speaker 1: think of Pokemon. It's like a war game, you know,

912
00:53:51,320 --> 00:53:56,960
Speaker 1: it's more of a dog fighting game very much. But

913
00:53:57,040 --> 00:54:00,880
Speaker 1: they're so cute. But also the girls are all dressed

914
00:54:00,960 --> 00:54:06,560
Speaker 1: like I don't know, anime porn stars in this movie.

915
00:54:06,960 --> 00:54:11,840
Speaker 1: Not not in this movie, I guess. Yeah, definitely in

916
00:54:11,920 --> 00:54:14,279
Speaker 1: the show. My kid watches a lot of Pokemon, and

917
00:54:14,360 --> 00:54:17,600
Speaker 1: I have to constantly be talking about like you know,

918
00:54:18,800 --> 00:54:23,960
Speaker 1: that's not yeah. Yeah. I was actually asking Daniel, who

919
00:54:24,040 --> 00:54:27,400
Speaker 1: is our official Pokemon consultant, that that could be a

920
00:54:27,480 --> 00:54:31,640
Speaker 1: position at most like publications Pokemon consultant because it's so

921
00:54:31,840 --> 00:54:34,520
Speaker 1: opaque to people who are like just a little too

922
00:54:34,600 --> 00:54:37,719
Speaker 1: old for it. But anyways, I was wondering, is it

923
00:54:37,920 --> 00:54:42,759
Speaker 1: an alternate universe, is it a like foreign planet, or

924
00:54:43,200 --> 00:54:47,040
Speaker 1: is it basically like an alternate dimension. We found that

925
00:54:47,160 --> 00:54:50,840
Speaker 1: it was an alternate like dimension that has some time

926
00:54:50,960 --> 00:54:55,880
Speaker 1: with Japan. But yeah, yeah, is alternate dimensions right exactly.

927
00:54:56,480 --> 00:55:00,759
Speaker 1: But the animals, they're just evolved to be more adorable. Um, yeah,

928
00:55:00,960 --> 00:55:03,640
Speaker 1: what are the chances that climate change, instead of killing

929
00:55:03,719 --> 00:55:07,160
Speaker 1: all of us, Yeah, makes everybody just like adorable and

930
00:55:07,239 --> 00:55:11,279
Speaker 1: all the animals adorable us to Pokemon like, yeah, take

931
00:55:11,280 --> 00:55:14,439
Speaker 1: a lot for those mutations to it. All right, Yeah,

932
00:55:15,040 --> 00:55:17,600
Speaker 1: let's talk about the education system real quick. It was

933
00:55:17,640 --> 00:55:20,920
Speaker 1: just a weird I just saw a very odd juxtaposition

934
00:55:21,000 --> 00:55:23,640
Speaker 1: of articles as I was scrolling through like some site

935
00:55:23,760 --> 00:55:27,879
Speaker 1: or whatever. The first one was about the billionaire Robert Smith, who,

936
00:55:28,040 --> 00:55:29,759
Speaker 1: if you don't know, over the weekend, he was the

937
00:55:29,760 --> 00:55:32,600
Speaker 1: commencement speaker at Morehouse Colleges, you know, class of twenty

938
00:55:32,680 --> 00:55:35,680
Speaker 1: nineteen graduation, and you know, I did the usual commencement

939
00:55:35,680 --> 00:55:37,520
Speaker 1: speech thing, and then it was like, oh and also,

940
00:55:37,800 --> 00:55:40,160
Speaker 1: I'm just clearing all your student debt to the tune

941
00:55:40,160 --> 00:55:42,440
Speaker 1: of around forty million dollars, and I was like, oh

942
00:55:42,560 --> 00:55:45,880
Speaker 1: my god. And which was amazing, you know what I mean, Like,

943
00:55:46,160 --> 00:55:48,919
Speaker 1: and some people were painting it as like a heartwarming story,

944
00:55:48,960 --> 00:55:51,239
Speaker 1: but we all know this as a late stage capitalism

945
00:55:51,360 --> 00:55:54,120
Speaker 1: thing that's disguised as a heartwarming story where someone who

946
00:55:54,200 --> 00:55:57,520
Speaker 1: has all the means is like, here, here's something I

947
00:55:57,640 --> 00:56:00,080
Speaker 1: get that this will help you a lot. Uh, and

948
00:56:00,200 --> 00:56:03,200
Speaker 1: the system should have not failed you before. Um. And

949
00:56:03,280 --> 00:56:06,160
Speaker 1: then that was juxtaposed with this other article that said

950
00:56:06,200 --> 00:56:09,160
Speaker 1: Olivia Jade, who is Aunt Becky's daughter who was the

951
00:56:09,320 --> 00:56:12,440
Speaker 1: influencer who got kicked out of USC for Operation Varsity

952
00:56:12,480 --> 00:56:14,560
Speaker 1: Blues and her parents are still looking at forty years

953
00:56:14,600 --> 00:56:17,560
Speaker 1: in prison, is out here saying she actually wants to

954
00:56:17,600 --> 00:56:21,719
Speaker 1: go back to USC. Now, now we remember why in

955
00:56:21,840 --> 00:56:25,160
Speaker 1: the first place she was open to going to USC,

956
00:56:25,280 --> 00:56:27,520
Speaker 1: and that was because she was interested in the college

957
00:56:27,560 --> 00:56:30,279
Speaker 1: experience because the parties were going to be lit and

958
00:56:30,719 --> 00:56:34,440
Speaker 1: like game day, like think about games, just doing like

959
00:56:34,520 --> 00:56:37,440
Speaker 1: the whole college thing. Yeah, so she like totally values

960
00:56:37,480 --> 00:56:42,080
Speaker 1: and appreciates the unique privilege of getting a college education.

961
00:56:42,640 --> 00:56:44,840
Speaker 1: Here's the thing. So in this this little you know,

962
00:56:44,960 --> 00:56:47,359
Speaker 1: the US Weekly always has the t which means her

963
00:56:47,560 --> 00:56:50,480
Speaker 1: publicists are trying to get this story out. Um. Was

964
00:56:50,600 --> 00:56:52,920
Speaker 1: that Olivia Jade wants to go back to USC. She

965
00:56:53,000 --> 00:56:55,480
Speaker 1: didn't get officially kicked out, and she was begging the

966
00:56:55,560 --> 00:56:59,360
Speaker 1: school to let her back in now. Unfortunately for Genui nineteen,

967
00:56:59,520 --> 00:57:02,080
Speaker 1: she's un likely to get her wish anytime soon. Quote.

968
00:57:02,160 --> 00:57:04,120
Speaker 1: She knows they won't let her in, so she's hoping

969
00:57:04,200 --> 00:57:07,880
Speaker 1: this info gets out. She wants to come out looking

970
00:57:08,000 --> 00:57:11,440
Speaker 1: like she's changed, learned life lessons and is growing as

971
00:57:11,480 --> 00:57:14,600
Speaker 1: a person. So for sure, she wants people to think

972
00:57:14,760 --> 00:57:18,080
Speaker 1: she's interested in her education, not that she is. She

973
00:57:18,160 --> 00:57:23,600
Speaker 1: wants to come out looking like, yeah, articles straight, I

974
00:57:23,680 --> 00:57:26,720
Speaker 1: don't look how bad are her publicists. I don't know.

975
00:57:27,440 --> 00:57:30,120
Speaker 1: It should have been like Becky can afford much right now,

976
00:57:31,400 --> 00:57:34,520
Speaker 1: not that, but I mean I think also when you

977
00:57:34,600 --> 00:57:36,960
Speaker 1: look that one video she had, she's like, I don't know,

978
00:57:37,040 --> 00:57:39,920
Speaker 1: I'm sucking over school, like and she's like, my school

979
00:57:40,000 --> 00:57:42,560
Speaker 1: is really chill about my work and like everything's cool.

980
00:57:42,640 --> 00:57:45,240
Speaker 1: But it's like I just I'm like over it. And

981
00:57:45,400 --> 00:57:48,400
Speaker 1: as you guys know, I'm not like into school or

982
00:57:48,520 --> 00:57:51,680
Speaker 1: reading or books or stuff. So I guess by quote

983
00:57:51,720 --> 00:57:54,040
Speaker 1: back to school, what she means quote is rehab her

984
00:57:54,040 --> 00:57:56,280
Speaker 1: image so she can continue her influence or business because

985
00:57:56,320 --> 00:57:59,280
Speaker 1: fucking education because privilege. Yeah, and it's just so funny

986
00:57:59,320 --> 00:58:02,040
Speaker 1: to see people on such opposite ends of the spectrum.

987
00:58:02,080 --> 00:58:04,680
Speaker 1: You have people, especially people of color, who already like

988
00:58:04,840 --> 00:58:08,080
Speaker 1: the barriers to entry for getting you know, a good education,

989
00:58:08,240 --> 00:58:10,520
Speaker 1: to not go into some pit of debt, and the

990
00:58:10,640 --> 00:58:13,480
Speaker 1: upwards social mobility is very different. And these people are

991
00:58:13,520 --> 00:58:16,400
Speaker 1: here being like, oh my god, this person cleared my debt.

992
00:58:16,880 --> 00:58:21,160
Speaker 1: The freedom that allows those people is unimaginable. And then

993
00:58:21,160 --> 00:58:23,800
Speaker 1: you have this other person who's like, fucking education, man,

994
00:58:24,440 --> 00:58:27,760
Speaker 1: I'm trying to get this Sephora deal for my Instagram

995
00:58:27,840 --> 00:58:29,800
Speaker 1: page again. You just want to watch me by Jewelry.

996
00:58:32,000 --> 00:58:35,360
Speaker 1: It's like, I just I'm didding a cool muckbang video

997
00:58:35,480 --> 00:58:38,800
Speaker 1: where we're eating KFC outlet. She did like a video

998
00:58:38,880 --> 00:58:41,800
Speaker 1: like that. I'm like, what, okay, so you know, at

999
00:58:41,880 --> 00:58:45,120
Speaker 1: least I'm like you guys, yeah, I eat in and out.

1000
00:58:45,200 --> 00:58:49,760
Speaker 1: It's like so bomb and like I love it, so yeah,

1001
00:58:50,360 --> 00:58:53,880
Speaker 1: um subscribe to my channel and like can comment. I

1002
00:58:54,000 --> 00:58:57,600
Speaker 1: saw a bunch of people on Twitter being like people

1003
00:58:57,720 --> 00:59:02,840
Speaker 1: that had criticized the Elizabeth Warren student debt thing be

1004
00:59:03,120 --> 00:59:06,000
Speaker 1: like applauding the Moorhouse thing. And then I saw a

1005
00:59:06,080 --> 00:59:08,400
Speaker 1: bunch of other people being like I don't know how

1006
00:59:08,480 --> 00:59:09,840
Speaker 1: you could do that, and I was like, oh, let

1007
00:59:09,920 --> 00:59:14,360
Speaker 1: me introduce you to libertarian. They are like, you know,

1008
00:59:15,360 --> 00:59:19,800
Speaker 1: have a weird, very naive belief in like personal charity

1009
00:59:20,320 --> 00:59:23,960
Speaker 1: solving the social safety net problem. But then like a

1010
00:59:24,080 --> 00:59:25,720
Speaker 1: friend of mine was like yeah, but then you asked

1011
00:59:25,760 --> 00:59:27,520
Speaker 1: them like, oh, so do you like donate a lot

1012
00:59:27,560 --> 00:59:34,800
Speaker 1: to charity? And they're like nah, yeah, because you think

1013
00:59:34,840 --> 00:59:37,440
Speaker 1: that everyone's doing it, right, yeah, right, so they love

1014
00:59:37,560 --> 00:59:41,440
Speaker 1: this stuff. They're like, oh see billionaires that are nice. Yeah, exactly,

1015
00:59:41,520 --> 00:59:44,000
Speaker 1: you know, yeah, and it just come on now, we're

1016
00:59:44,280 --> 00:59:47,520
Speaker 1: already I mean, it's even what kind of a safety

1017
00:59:47,560 --> 00:59:49,520
Speaker 1: net is there even left? Now? It's like pieces of

1018
00:59:49,640 --> 00:59:53,800
Speaker 1: dental floss compose our social safety net? Now. Yeah, but hey,

1019
00:59:53,960 --> 00:59:57,040
Speaker 1: you know, shout out to the banevolent billionaire um and

1020
00:59:57,080 --> 00:59:58,640
Speaker 1: I mean, really good on him for doing that. I

1021
00:59:58,720 --> 01:00:01,160
Speaker 1: can't there's no criticis is m of that whatsoever? But

1022
01:00:01,480 --> 01:00:03,800
Speaker 1: I think for a lot of people, like on morning

1023
01:00:03,840 --> 01:00:06,880
Speaker 1: news shows, are like this generous man blah blah blah,

1024
01:00:07,000 --> 01:00:10,480
Speaker 1: rather than like the education system is impossible to navigate

1025
01:00:10,600 --> 01:00:12,760
Speaker 1: unless you're a person of means and the fact that

1026
01:00:13,040 --> 01:00:16,640
Speaker 1: like one college class had forty million dollars in debt,

1027
01:00:16,760 --> 01:00:21,200
Speaker 1: that is insane and that shouldn't be right exactly. And

1028
01:00:21,240 --> 01:00:23,160
Speaker 1: then also think about it, you had one man who

1029
01:00:23,280 --> 01:00:28,880
Speaker 1: could just blink forty million. Look at that relationship too,

1030
01:00:29,080 --> 01:00:32,400
Speaker 1: and all that concentration of wealth on that worth five

1031
01:00:32,520 --> 01:00:38,560
Speaker 1: bills billion. That's wow, forty millions spread across three hundred

1032
01:00:38,640 --> 01:00:46,480
Speaker 1: and nineties six so roughly d each is fucking nut monstrous. Yeah,

1033
01:00:46,480 --> 01:00:50,160
Speaker 1: and how the how do you pay that back? It's

1034
01:00:50,640 --> 01:00:53,560
Speaker 1: just just have that minimum pain and everything forever and

1035
01:00:53,680 --> 01:00:56,880
Speaker 1: you hit that. Yeah, and then yeah, so I hope

1036
01:00:56,880 --> 01:00:59,520
Speaker 1: anyone who has like all you think about candidates who

1037
01:00:59,560 --> 01:01:03,360
Speaker 1: are talking better racing that dead. Please. This episode has

1038
01:01:03,440 --> 01:01:06,840
Speaker 1: made me think that maybe I should start voting because

1039
01:01:08,080 --> 01:01:11,320
Speaker 1: free Free University going to take it right back to

1040
01:01:11,400 --> 01:01:16,520
Speaker 1: the beginning. Scotland. Look at them going to Aberdeen. Let's go. Yeah,

1041
01:01:17,040 --> 01:01:20,160
Speaker 1: the last regions welcome me with open arms. They're so smart.

1042
01:01:20,200 --> 01:01:27,040
Speaker 1: Why did they all talk like that? What? Oh my god?

1043
01:01:27,280 --> 01:01:29,800
Speaker 1: Have you read Scottish Twitter? Oh my god, it's the best.

1044
01:01:30,440 --> 01:01:33,240
Speaker 1: Got to get into Scottish because they phonetically write their

1045
01:01:33,240 --> 01:01:35,560
Speaker 1: ship out and you can hear it in the accent

1046
01:01:35,720 --> 01:01:38,920
Speaker 1: and all the slang, you know, Scottish Twitter shout out,

1047
01:01:39,680 --> 01:01:43,120
Speaker 1: it's the best at my husband Scottish. And so my

1048
01:01:43,320 --> 01:01:45,240
Speaker 1: plan for my kids is that we will move to

1049
01:01:45,360 --> 01:01:49,200
Speaker 1: Scotland when they're colleges or maybe like a year before.

1050
01:01:49,280 --> 01:01:51,560
Speaker 1: I don't know what the rules are, but yeah, I'm

1051
01:01:51,600 --> 01:01:54,200
Speaker 1: hoping it lasts, and then they'll have to pick Rangers

1052
01:01:54,320 --> 01:01:57,160
Speaker 1: or self. I know, well, yeah, their dad's kind of

1053
01:01:57,200 --> 01:02:02,680
Speaker 1: picked already Rangers. That whole thing is crazy. So I

1054
01:02:02,800 --> 01:02:06,280
Speaker 1: was raised Catholic. He's a Rangers fan, which means Protestant

1055
01:02:06,560 --> 01:02:09,400
Speaker 1: to me. I'm like, there's so few differences between these,

1056
01:02:09,520 --> 01:02:12,880
Speaker 1: but whatever. But he has friends that won't speak to

1057
01:02:13,000 --> 01:02:17,920
Speaker 1: him because he married a like long nonpracticing Catholic. Oh

1058
01:02:18,080 --> 01:02:23,600
Speaker 1: really wait, what are Rangers? Rangers soccer soccer soccer? Yeah,

1059
01:02:24,200 --> 01:02:29,200
Speaker 1: so yeah, but it's become like a thing in Ireland

1060
01:02:29,280 --> 01:02:32,160
Speaker 1: and Northern Ireland too because they don't have they don't

1061
01:02:32,200 --> 01:02:35,360
Speaker 1: have a league the way that. Yeah, so people will

1062
01:02:35,520 --> 01:02:38,880
Speaker 1: come over for those matches and there's a there's a

1063
01:02:38,920 --> 01:02:41,880
Speaker 1: pretty good, like short doc on Vice about just how

1064
01:02:42,600 --> 01:02:45,000
Speaker 1: the Old Firm is it called that it's something it's

1065
01:02:45,000 --> 01:02:47,360
Speaker 1: about the old Firm Derby, but like just knowing how

1066
01:02:47,520 --> 01:02:49,560
Speaker 1: much it goes back to this Catholic and Protestant thing

1067
01:02:49,640 --> 01:02:53,680
Speaker 1: and like the fucking wild slurs they use against each

1068
01:02:53,720 --> 01:02:57,400
Speaker 1: other that are like really really something else. A great

1069
01:02:57,480 --> 01:03:00,840
Speaker 1: Vice documentary bought to you by the two rule. You

1070
01:03:00,960 --> 01:03:02,720
Speaker 1: have a bunch of twenty two year olds where I'm

1071
01:03:02,760 --> 01:03:04,960
Speaker 1: twenty two hours a day and pay them twenty two

1072
01:03:05,000 --> 01:03:09,840
Speaker 1: thousand years from a Vice article that is literally something

1073
01:03:10,040 --> 01:03:14,880
Speaker 1: that the cool Vice like CEO said, like told, and

1074
01:03:14,920 --> 01:03:16,360
Speaker 1: it would be a mistake for me to not use

1075
01:03:16,400 --> 01:03:19,240
Speaker 1: this opportunity. For superproducer nixt back in the building, thank

1076
01:03:19,280 --> 01:03:21,320
Speaker 1: you for coming back. Held up the sign will be

1077
01:03:21,440 --> 01:03:24,040
Speaker 1: all one of our favorite Scottish things to say. If

1078
01:03:24,080 --> 01:03:26,880
Speaker 1: you want to say spice girls, like a Scottish person

1079
01:03:27,200 --> 01:03:32,840
Speaker 1: say space ghettos, space ghetto, space ghettos and space ghettos.

1080
01:03:33,240 --> 01:03:39,320
Speaker 1: Space space got spice girls. Amy, It's been so fun

1081
01:03:39,480 --> 01:03:43,520
Speaker 1: having you. Where can people find you and follow you online?

1082
01:03:44,160 --> 01:03:48,000
Speaker 1: I'm on Twitter at Amy Westervelt and my podcast is

1083
01:03:48,040 --> 01:03:54,400
Speaker 1: called drilled Um. It's funny because we're all fucked. There

1084
01:03:54,680 --> 01:03:57,800
Speaker 1: is uh and is there a tweet you've been enjoying? Well,

1085
01:03:57,880 --> 01:04:00,920
Speaker 1: actually I can tell you um Yeah, this is an

1086
01:04:00,960 --> 01:04:03,160
Speaker 1: oldie and oldie bit of goodie that was just brought

1087
01:04:03,240 --> 01:04:07,400
Speaker 1: to my attention from Mara quint. I don't know what

1088
01:04:07,560 --> 01:04:11,440
Speaker 1: her handle is, but it was basically on this libertarian thing.

1089
01:04:11,520 --> 01:04:15,959
Speaker 1: It was like, libertarian social safety that can be solved

1090
01:04:16,000 --> 01:04:18,680
Speaker 1: by private charity. Me. Oh, so do you give a

1091
01:04:18,760 --> 01:04:23,960
Speaker 1: lot to private charities? Libertarian? No, there you go, I

1092
01:04:24,040 --> 01:04:27,480
Speaker 1: want to do that. Uh, Miles, where can people find you?

1093
01:04:27,840 --> 01:04:31,240
Speaker 1: You can find me and follow me on Instagram at

1094
01:04:31,520 --> 01:04:36,200
Speaker 1: Miles of Gray and even on the PlayStation network. Right now,

1095
01:04:36,200 --> 01:04:38,080
Speaker 1: I've only gamed with a couple of years out to

1096
01:04:38,160 --> 01:04:44,040
Speaker 1: West and Manentucky. But yeah, you know, holler at me.

1097
01:04:44,080 --> 01:04:46,120
Speaker 1: I see somebody on the division and you're not inviting me,

1098
01:04:46,240 --> 01:04:47,440
Speaker 1: but you know it's all good. I'm gonna take you

1099
01:04:47,520 --> 01:04:50,080
Speaker 1: personally and maybe I am um and a tweet that

1100
01:04:50,120 --> 01:04:52,280
Speaker 1: I like. Okay, now this is a video, so I'm

1101
01:04:52,320 --> 01:04:55,400
Speaker 1: sorry that um I have to say this, but it's

1102
01:04:55,440 --> 01:05:00,240
Speaker 1: a video of a vulture like walking like all all

1103
01:05:00,440 --> 01:05:03,760
Speaker 1: shady like with big as steps, unsure and it says

1104
01:05:04,160 --> 01:05:06,560
Speaker 1: looking for the cereal Island a grocery store. You've never

1105
01:05:06,680 --> 01:05:10,840
Speaker 1: been told that because it is funny. You get into

1106
01:05:11,000 --> 01:05:13,000
Speaker 1: a grocery store you're not used to, and I'm really

1107
01:05:13,040 --> 01:05:15,600
Speaker 1: always like, what the fund is the produces on the

1108
01:05:15,680 --> 01:05:17,920
Speaker 1: other side of the place our go to. And another

1109
01:05:17,960 --> 01:05:20,400
Speaker 1: one from Amy Miller at Amy Miller found out the

1110
01:05:20,440 --> 01:05:22,040
Speaker 1: hard way that I don't have a lot of quote

1111
01:05:22,080 --> 01:05:24,720
Speaker 1: come to Disneyland at the last minute and quote type friends.

1112
01:05:24,880 --> 01:05:31,120
Speaker 1: Honestly pathetic and shocking. Neil Brandon tweeted, Kawhi Leonard seems

1113
01:05:31,160 --> 01:05:33,280
Speaker 1: like the kind of guy whose family doesn't even know

1114
01:05:33,440 --> 01:05:35,840
Speaker 1: he's in the NBA. He just says I'm going to

1115
01:05:35,920 --> 01:05:39,360
Speaker 1: work and comes back. It comes back eight hours later

1116
01:05:39,600 --> 01:05:41,720
Speaker 1: and they go back to sitting at the kitchen table,

1117
01:05:41,840 --> 01:05:50,880
Speaker 1: not speaking. And then at Drill tweeted alcohol is a drug.

1118
01:05:51,320 --> 01:05:54,360
Speaker 1: Beer is alcohol, and drugs are a form of beer.

1119
01:05:55,160 --> 01:06:00,880
Speaker 1: Uh uh. And then Johnny Soon tweeted somebody hugged John

1120
01:06:00,960 --> 01:06:05,200
Speaker 1: because John Legend looked really awkward during the s n

1121
01:06:05,360 --> 01:06:08,160
Speaker 1: L finale. People haven't seen him during the credits. He's

1122
01:06:08,240 --> 01:06:14,080
Speaker 1: just he's like, hey, what you maybe anything? Uh? Anyways,

1123
01:06:14,120 --> 01:06:16,040
Speaker 1: you can find me on Twitter at Jack on your Squirrel, Brian.

1124
01:06:16,120 --> 01:06:18,440
Speaker 1: You can find us on Twitter at Daily Zeygeist. Were

1125
01:06:18,440 --> 01:06:21,320
Speaker 1: at the Daily Zeitgeist on Instagram We have a Facebook

1126
01:06:21,360 --> 01:06:24,280
Speaker 1: fan page on a website Daily zicheis dot com where

1127
01:06:24,360 --> 01:06:28,120
Speaker 1: we post our episodes and our foot swearing link off

1128
01:06:28,160 --> 01:06:30,640
Speaker 1: to the information that we talked about in today's episode,

1129
01:06:30,680 --> 01:06:33,600
Speaker 1: as well as the song we write out on What's

1130
01:06:33,640 --> 01:06:35,760
Speaker 1: that going to be today? Okay, so this is from

1131
01:06:36,560 --> 01:06:41,800
Speaker 1: this h Korean I guess folktronic artist does how the

1132
01:06:41,800 --> 01:06:46,640
Speaker 1: best they describe it or her mid air thief folktronica No, no,

1133
01:06:46,760 --> 01:06:50,040
Speaker 1: that's a real thing. Fulktronica is is a genre. But

1134
01:06:50,520 --> 01:06:53,040
Speaker 1: this album is from I'm called Crumbling and I had

1135
01:06:53,120 --> 01:06:55,880
Speaker 1: to look up because I don't read hungle. But the

1136
01:06:56,040 --> 01:06:59,800
Speaker 1: song is called basically odd these Chains, uh, and it's

1137
01:07:00,000 --> 01:07:02,200
Speaker 1: tripping and it's like it goes to like a few

1138
01:07:02,240 --> 01:07:05,280
Speaker 1: different genres. It is a journey, so you know, I

1139
01:07:05,360 --> 01:07:07,040
Speaker 1: would actually you know, I know, we give you a

1140
01:07:07,080 --> 01:07:09,120
Speaker 1: little bit of go find the whole thing. So that

1141
01:07:09,240 --> 01:07:13,520
Speaker 1: is mid air thieve. Ah these chains of comics. Um. So,

1142
01:07:14,800 --> 01:07:17,440
Speaker 1: The Daily Ziheist is the production of I Heart Radio

1143
01:07:18,160 --> 01:07:21,000
Speaker 1: for more podcasts for my heart Radio by heart Radio app,

1144
01:07:21,040 --> 01:07:25,000
Speaker 1: Apple podcast or wherever you listen to your favorite shows. Uh,

1145
01:07:25,120 --> 01:07:28,360
Speaker 1: we're going to ride out on that folktronic song. We

1146
01:07:28,440 --> 01:07:30,680
Speaker 1: will be back tomorrow because it is a daily podcast.

1147
01:07:32,480 --> 01:07:33,840
Speaker 1: Bye bye,