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Speaker 1: I've been there, been there a few times. Yeah. Oh

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Speaker 1: I love London, Yeah, I love I went to the

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Speaker 1: airport there once.

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Speaker 2: Yeah, you guys out there.

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Speaker 1: Which which he loves, he loves Gatwick doesn't have it,

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Speaker 1: I loved. I'm a man myself, Yeah I was, Sun.

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Speaker 2: Said man, because that's where the cheap flights go from.

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Speaker 1: Exactly.

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Speaker 2: I mean every I mean I don't try not to

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Speaker 2: fly anymore.

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Speaker 1: Yeah, every time I've gone to the continent, I'm always like,

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Speaker 1: why leave from Heath, Like it's like exponentially more expensive

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Speaker 1: to go anywhere out of there.

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Speaker 3: There was the John Lennon statue where I went.

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Speaker 2: Which one from London?

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Speaker 1: Are you? Okay? But it could have been a different British.

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Speaker 2: Guy, just we have a few.

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Speaker 1: It was just a statue. It could have just been

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Speaker 1: a statue of some guy.

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Speaker 3: I assumed it was John Lynon because I don't know

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Speaker 3: any other people from England.

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Speaker 2: Yeah, he's our only man, the only yeah.

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Speaker 1: The only person ever.

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Speaker 3: Well, no, you have the guy from Wings, the guy

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Speaker 3: from Wings McCartney.

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Speaker 1: Okay, interesting, the most roundabout Beatles references.

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Speaker 3: Was he in the Beatles?

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Speaker 1: Oh that's crazy man, Hello the Internet and welcome to

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Speaker 1: season three forty six, Episode three of the Daily Zeitgeist

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Speaker 1: production of iHeart Radio. You're throwing me off already. I

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Speaker 1: should just chill for a second. Man, bad, my bad.

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

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Speaker 1: into America's shared consciousness. It is Wednesday, July tenth, twenty

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Speaker 1: twenty four. What does that mean? What is July tenth?

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Speaker 1: Will allow me to reintroduce this day? It's Oh my god,

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Speaker 1: I don't think there's anything going on today. Oh it's no.

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Speaker 1: It's National Penia Kalada Day, National kitten Day, Chronic disease Day. Okay,

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Speaker 1: we do have some of the pop off, so shout

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Speaker 1: out all of those things, bring awareness to all of them,

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Speaker 1: and then top it off with a Pina colada, if

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Speaker 1: you will. My name is Miles Gray, AKA. We need

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Speaker 1: some Taylor ration colbaar nation in this DNC Mark Paul

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Speaker 1: Gotsoler skating Gary Payton. Maybe yes, man Blyeth Okay, shout

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Speaker 1: out to Salvador Jolly. That was touching on one of

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Speaker 1: the more interesting schemes we've heard about. Replacing Joe Biden

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Speaker 1: is like, just do like Oprah and Colbert and Taylor

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Speaker 1: Swift to talk to whoever the new candidate is and

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Speaker 1: and that will completely reverse the policies of the party

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Speaker 1: that also need to change. But anyway, that's from Salvador

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Speaker 1: Jolly to the tune of Family Affair. I gotta say,

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Speaker 1: rhyming DNC with dancery. I love that. I gotta say,

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Speaker 1: I really enjoyed that. But look, I am thrilled to

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Speaker 1: be joined today by my guest co host, someone who

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Speaker 1: we all know is a wonderful comedian, producer, podcaster, you

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Speaker 1: know again, multi hyphen it's only in this guest podcast

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Speaker 1: position host of Bad Hasbara, Please welcome, and it's also

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Speaker 1: the most moral podcast in the world. It is the

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Speaker 1: most moral podcast in the world. Please welcome to the microphone,

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Speaker 1: mister Matt leeb.

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Speaker 3: Guys, I did earlier that was me because Jack wasn't here,

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Speaker 3: and also I'm gonna say footnotes, rand there you go

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Speaker 3: this episode, it's me Matt leeb aka because I'm Matt.

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Speaker 3: I'm Matt, I'm Matt Lee.

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Speaker 1: What's up? That was me? I love was that off

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Speaker 1: the cuff, off the talk, off the top of the head.

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Speaker 1: I love to see that.

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Speaker 3: You have to understand that I've got a you know,

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Speaker 3: a pretty storied career of parody songs. Usually you're about

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Speaker 3: eating butts, in which I use this on a MONOPI

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Speaker 3: invented for eating butts called lum Yes. And I will

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Speaker 3: do one of those songs at the beginning of every frodcast.

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Speaker 1: But for this.

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Speaker 3: One, Baby, I'm talking my own name.

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Speaker 1: I like that. We love to hear that. Thank you

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Speaker 1: so much, Matt. And speaking of musical talents, our two

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Speaker 1: guests today host a wonderful podcast about another musical powerhouse one,

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Speaker 1: Bruce the Boss Springsteen, New Jersey's very own. I know

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Speaker 1: very little about Bruce Springsteen aside from what I get

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Speaker 1: just sort of ambiently from being an American, But after

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Speaker 1: listening to their podcast, I'm I'm starting to understand things

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Speaker 1: a little bit better, at least from a completely new perspective,

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Speaker 1: which I really enjoy. They are the hosts of the

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Speaker 1: podcast because the Boss belongs to us. Asking the question, look,

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Speaker 1: is Bruce Springsteen actually one of the greatest queer icons?

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Speaker 1: Then they have a very emphatic answer to that question.

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Speaker 1: Please welcome to the microphone, Please live in to the microphone.

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Speaker 1: Jesse Lawson and Holly Cassio to have you. Oh of course,

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Speaker 1: and we do want to acknowledge Jesse you are currently

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Speaker 1: both of our guests are coming live from the UK

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Speaker 1: right now. But Jesse, you do live near a main

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Speaker 1: road and ambulance station, so if there is some ambience, Yeah.

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Speaker 2: I'm literally a radio producer.

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Speaker 4: That is my job and I have the West House

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Speaker 4: for requiting it.

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Speaker 5: It sounds like you're just in the middle of the street.

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Speaker 1: Right right. We love it. Yeah, it was like, is

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Speaker 1: that one of those zoom backgrounds where it looks like

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Speaker 1: they're in a house and they may just be sort

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Speaker 1: of sitting like on the high road.

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Speaker 2: Yeah, I'm sitting out.

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Speaker 1: Well, it's great to have you.

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Speaker 4: Uh.

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Speaker 1: Like I said at the top, like I I don't

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Speaker 1: know anything about Bruce Springsteen. A lot of people like

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Speaker 1: you'd like a man he's from New Jersey, You're from

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Speaker 1: the valley out cash And I'm like, yeah, I respect that,

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Speaker 1: I guess, but tell us a little bit about your

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Speaker 1: podcast because I also love that, you know, as sort

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Speaker 1: of in the description of your show too, you also

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Speaker 1: asked the question why you the host transactivist, abolitionist, DIY punk,

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Speaker 1: drag king, working class weirdos, What are y'all doing? Idolizing

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Speaker 1: assist straight, Rich white Man.

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Speaker 5: Well done forgetting that out in one take. I think

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Speaker 5: we can never do that in one straight text.

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Speaker 1: Oh yeah, I'm good.

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Speaker 3: I'm good as a professional dude.

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Speaker 1: Yeah, you can.

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Speaker 2: Tell, you can tell.

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Speaker 5: I think you are actually our target audience because I

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Speaker 5: think we talk a lot about Bruce Sprinksy and we

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Speaker 5: get very very nerdy about it, and we forget that

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Speaker 5: actually other people outside of yeah, the myth of Bruce

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Speaker 5: sprinks and a lot of people don't know about him

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Speaker 5: and like who he really is, including us. We're kind

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Speaker 5: of making up as we go along, but we do

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Speaker 5: a lot of very big, deep dives into who we

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Speaker 5: think he is.

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Speaker 1: Yeah, I love it.

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Speaker 4: Yeah, I think I would say like that was my experience.

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Speaker 4: I think one of the so I got into Bruce

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Speaker 4: Springsteen when I was in my early twenties, and before

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Speaker 4: that point I hadn't thought that much about him because

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Speaker 4: he is, like, you know, one of his album covers

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Speaker 4: has the American flag, right, everyone says that he's the

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Speaker 4: same as bon Jovi, Like I just like I was like, well,

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Speaker 4: this isn't for me. And then I had the kind

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Speaker 4: of like classic experience that lots of people we talked

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Speaker 4: on the show had where I just listened to one

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Speaker 4: song and was like, it's about gender, and then I

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Speaker 4: became obsessed with him. So yeah, I think like that's

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Speaker 4: something we talk about a lot on the show. It's like, yeah,

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Speaker 4: there's a real Bruce who lives in New Jersey, and

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Speaker 4: there's a Bruce that we've projected all of our thoughts

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Speaker 4: and feelings onto.

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Speaker 5: And it's really weird because sometimes you think, like I'm

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Speaker 5: getting all this queer stuff from Bruce, what on earth

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Speaker 5: are other people getting? Like you, look, I love America,

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Speaker 5: Ali Bruce Brigsy and it's like, what version of briefs

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Speaker 5: are you listening to?

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Speaker 1: Yeah, well I think most Americans things go over our

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Speaker 1: heads anyway. And people were like, huh so the song

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Speaker 1: la so I had some depth to the lyrics that

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Speaker 1: I wasn't picking up on. I thought it was a

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Speaker 1: really bad guy working in a steel town.

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Speaker 3: Yeah, I think you're really underestimating how stupid we are

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Speaker 3: as the country. We saw American flag and said, guy,

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Speaker 3: love Marrat and then we're like, yeah, America is good.

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Speaker 3: Its lyric sheets.

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Speaker 1: Yeah, but I.

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Speaker 4: Did like, yeah, that literally happened, isn't it. Because Trump

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Speaker 4: passed Bruce Springsteen to play his inauguration. Yeah, it is

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Speaker 4: about like workers rights and unionization.

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Speaker 3: Right, we've only had worse too, because like now you

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Speaker 3: have like every other day, uh, Tom Morello will tweet

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Speaker 3: something and they'll be like ten conservative reply guys like

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Speaker 3: oh I missed when rage wasn't woke, And it's like,

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Speaker 3: how completely in media criticism do you have to be

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Speaker 3: to think they were?

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Speaker 1: Like your ears work? Right? Have you just heard down

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Speaker 1: Rowdale a brown skin man says their grandparents buy one.

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Speaker 1: It's so great? Yeah yeah, well yeah no. The other

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Speaker 1: thing too, is like just it was fun hearing you

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Speaker 1: both like discover suddenly it's like, wait, am I the

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Speaker 1: only Boss fan? You're like no, this is like this

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Speaker 1: is truly like shared experience, and like I'm I'm guessing.

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Speaker 1: Like anything, it's always fun to kind of begin to

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Speaker 1: find your community sort of like in this niche way too.

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Speaker 1: It must be just only like sort of furthers your

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Speaker 1: love for the Boss.

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Speaker 2: Oh yeah, we we are legion.

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Speaker 5: I think that's what we discovered that the podcast is

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Speaker 5: there are so many of us out there, and I

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Speaker 5: think secretly we've done this just to make more friends.

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Speaker 2: Because everyone we talk to.

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Speaker 5: There's just so many queer fans out there that hear

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Speaker 5: his lyrics or see him and don't know whether they

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Speaker 5: actually want to be him or whether they want to

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Speaker 5: make out with him. They're not quite sure. There's so

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Speaker 5: many of us, it's incredible, to be clear.

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Speaker 3: The reason anyone starts a podcast is to make friends.

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Speaker 3: That's just letting you know we.

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Speaker 2: Are best friends right now.

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Speaker 1: Oh yeah, absolutely, Like I'm coming to I'm going to

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Speaker 1: ask to crash at your places when I'm in the

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Speaker 1: UK next time. This is how friends to me from

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Speaker 1: the podcast about fifteen months ago. If you remember, I'm

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Speaker 1: here and I have Nando's, I'm willing to share.

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Speaker 2: As.

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Speaker 1: You know, or we'll get the meal deal at Tesco

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Speaker 1: whatever whatever. You know.

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Speaker 2: On the noisy, busy street that I live on, there

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Speaker 2: is a Nandos, so.

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Speaker 1: Oh perfect, Well call me, you know, Perry, mister Perry Perry.

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Speaker 1: The thing. I also got to add, what's like in

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Speaker 1: your opinion? What's like Spruceting's Spruce Spruce Stings? Yeah? What

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Speaker 1: Springsteen's like most based song that you be? Like? Man,

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Speaker 1: people need to fucking actually listen to this track, like

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Speaker 1: to really just to kind of blow up in your

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Speaker 1: mind about who Bruce Springsteen is great question.

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Speaker 2: So many.

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Speaker 5: I mean the Born in the USA is like the

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Speaker 5: really obvious one that everyone's kind of aware of, the.

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Speaker 3: One that's about loving the USA, right absolutely, yeah, unions, Yeah.

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Speaker 2: Just fucking that flag.

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Speaker 5: But like he, I think the song we talked about

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Speaker 5: a lot on the show is Dancing in the Dark,

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Speaker 5: which sounds like it's just pop banger. Like it's just

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Speaker 5: a pop it everyone knows, and it's just a song

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Speaker 5: about bleak depression and isolation and darkness and queerness if

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Speaker 5: you want to hear it. But it's just such an

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Speaker 5: unbelievably sad, deep song that goes on miss because it's

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Speaker 5: just such a pot banger.

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Speaker 3: I always thought that was a song about how to

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Speaker 3: start a fire. It's like, I can't start a.

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Speaker 1: Fire, spark, is that what you're doing? Yeah? Yeah and so.

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Speaker 3: Yeah, so I figured it was just like teach America

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Speaker 3: how to make more fires.

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Speaker 1: We have that fire in your heart. They're called gender reveals,

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Speaker 1: and we do them in dry areas to start wildfires.

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Speaker 4: It's I saw one of them in real life the

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Speaker 4: other day, which I thought it was just an American thing.

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Speaker 2: I go swimming with a bunch.

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Speaker 4: All of us are trans who go swimming together, and

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Speaker 4: we were walking down the beach and there was a

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Speaker 4: legitimate gender reveal party and that and when they revealed,

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Speaker 4: they were like, it's a boy, and we were like.

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Speaker 1: For now, yeah, yeah, keep telling them that. Well, look,

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Speaker 1: we're going to get to know you all even better,

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Speaker 1: but first we are going to just give people a

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Speaker 1: quick peek at to what we're going to be talking about.

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Speaker 1: You know, there's so much news happening. One of the

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Speaker 1: bigger stories is the landset. The Medical Journal has published

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Speaker 1: a study that was counting the dead in goz It's

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Speaker 1: called counting the Dead and Gozet Difficult but Essential, which

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Speaker 1: has a much higher estimate than anything I think that

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Speaker 1: has ever been reported. But when you look at sort

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Speaker 1: of the methodology of how they came to this number,

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Speaker 1: it makes perfect sense. Then we might also talk about

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Speaker 1: how gen Z caught another body. This time gen Z

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Speaker 1: is killing flirting, according to the New York Post and

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Speaker 1: many other places, So we'll talk about that, and we

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Speaker 1: will also because we have some esteem guests from the UK.

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Speaker 1: I just do want to touch on the elections that

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Speaker 1: had happened there, but also just this interesting controversy where

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Speaker 1: like one of these reform candidates that maybe people thought

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Speaker 1: were AI but wasn't. It's very strange and feels very

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Speaker 1: much like something we are probably going to experience soon

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Speaker 1: over here. So we will talk about that and plenty more,

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Speaker 1: But first we must ask our guests Jesse and Holly,

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Speaker 1: what is something from your search history that's revealing about

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Speaker 1: who you are or what you're into? Right now?

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Speaker 5: I'm just gonna say, because the show is like a

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Speaker 5: serious scientific research project, I spend a lot of time

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Speaker 5: googling Bruce Springsteen's lesbian looks. So a lot of my

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Speaker 5: Google search history is like Bruce lesbian jacket, Bruce Dyke haircut.

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Speaker 1: And wait so and their articles or someone is like

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Speaker 1: here like here are his looks? So like when you

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Speaker 1: that has SEO hits Oh I love this. Yeah, okay.

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Speaker 1: When I when I searched Bruce lesbian jacket, to say

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Speaker 1: Bruce Lee jacket, I'm like, no, no, no, no, we're

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Speaker 1: not speaking the same.

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Speaker 3: Well, I want to buy one of those Bruce Lee jackets.

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Speaker 1: Hold on the yellow ones. Yeah yeah, Jesse, how about you,

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Speaker 1: what's something from your search history?

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Speaker 4: I have ADHD and I'm constantly in a trying to

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Speaker 4: work out how to make myself interested enough to do

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Speaker 4: boring things. So my most recent life hack is I

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Speaker 4: basically I really don't like brushing my teeth, but I

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Speaker 4: know that you have to. So now I just only

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Speaker 4: ever search toss Master ten minute video and then I

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Speaker 4: sit and I watch it and I fluss and.

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Speaker 2: Brush my teeth.

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Speaker 1: There you go, there you go, and.

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Speaker 2: It really wakes. Would recommend to differend.

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Speaker 1: Yeah, I have a lot of trouble moving my body.

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Speaker 1: Podcasting and working like media stuff requires a lot of sitting,

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Speaker 1: and I'm like terrible at motivating myself to work out.

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Speaker 1: But I've recently hit like a dark spell like in

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Speaker 1: my mental health, where I realized too, like moving my

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Speaker 1: body is like a great distraction and a great thing.

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Speaker 1: Plus I can move my joints that are becoming so

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Speaker 1: you know, calcified and hardening before my eyes. That like

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Speaker 1: I just tell myself, like, rather than doing that thing

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Speaker 1: where you're just gonna scroll or just like stare at something,

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Speaker 1: move your body because then the knock on effect will

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Speaker 1: be you will feel better. And I've only recently been

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Speaker 1: able to use that effectively.

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Speaker 3: Wait, is that what dancing in the darks about?

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Speaker 1: Oh yeah, shit exactly, just getting out of this thing? Man? Man,

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Speaker 1: what what's that one layer or something about? Uh? I

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Speaker 1: ain't nothing, but that's.

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Speaker 2: We can relate to.

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Speaker 1: That. That's how I feel a lot of the time underrated.

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Speaker 1: Jesse Holly, what is something you think is underrated?

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Speaker 5: I'm gonna say underrated libraries. I'm a librarian and my

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Speaker 5: day job and libraries are great.

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Speaker 1: Yeah, yeah, I love library. Are you also the zine maker?

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Speaker 1: I am? Yes, yes, yes. My local library recently the

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Speaker 1: last few years started carrying zines, which I thought was

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Speaker 1: really cool.

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Speaker 2: No way, that's so cool. I wish my libraries did that.

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Speaker 1: Yeah, I thought. I thought. I was like, damn, this

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Speaker 1: is dope, like like because like you see young kids

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Speaker 1: just picking up these like really interesting like you know,

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Speaker 1: obviously like counterculture topics that they're not going to find

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Speaker 1: anywhere else in the library. But like, yeah, I was like,

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Speaker 1: you know, what, respect to the zine rack that.

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Speaker 3: Y'all have so cool?

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Speaker 2: Doctrinate them while they're young, I love exactly.

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Speaker 1: Yeah, get off the scenes. Aren't woke?

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Speaker 3: Are they? I'm going to make a conservative scene?

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Speaker 1: Yeah? Can you imagine? I mean you know they're probably

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Speaker 1: trying that ship like we need a conservative scene.

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Speaker 3: Yeah, not just a god pamphlet, right, that's like just

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Speaker 3: I feel like crisis is yeah.

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Speaker 1: Yeah, yeah yeah they make scenes. Yeah. Yeah, they really good,

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Speaker 1: I mean really good paper stock they used. It's not

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Speaker 1: quite that diy zine feel those genus pamphlets.

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Speaker 2: The kids will see right through that.

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Speaker 1: Yeah, what's the what's the tone of like life like

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Speaker 1: for a librarian in the UK? I mean in America

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Speaker 1: in certain places it's become a hellscape because you know

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Speaker 1: obviously yeah, is I to her?

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Speaker 5: That's just had that I saw there's something about you

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Speaker 5: have to take ID now and if you're under under eighteen.

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Speaker 1: Oh yeah, like a recently one library like adopted this

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Speaker 1: policy and yeah because this this uh state legislature bill

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Speaker 1: had passed. But yeah, I'm guessing the kids have access

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Speaker 1: to books in the UK.

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Speaker 5: Well you say that, that's very optimistic of you. We

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Speaker 5: lost something like eight hundred libraries during the Tories while

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Speaker 5: they were in power. So eight hundred libraries closed in

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Speaker 5: fourteen years. Wow, So no libraries and UK and a

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Speaker 5: dire direstate. Wow, That's what I'm here to talk about.

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Speaker 1: Yeah, seriously, No, I mean, yeah, Jesus, that's that's eight

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Speaker 1: hundred in the last eight hundred.

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Speaker 2: Yeah. Yeah.

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Speaker 5: And I live in an area where there was a

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Speaker 5: recent article that came out that said my local area

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Speaker 5: has too many libraries and they might be closing more

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Speaker 5: of those down. It's just absolutely insane.

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Speaker 3: Too many libraries is the funniest complaint I've ever heard.

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Speaker 1: Yeah, that's like when you're still like austerity brained. That's

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Speaker 1: like a conclusion you come to say, well, there's too

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Speaker 1: many libraries.

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Speaker 3: Yeah, yeah, and what does that mean? Like, how are

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Speaker 3: we going to save some money? Don't worry about any

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Speaker 3: other budgets out there, Just let's cut the libraries down.

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Speaker 2: Yeah, there's always money for the military.

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Speaker 1: That's right. Libraries.

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Speaker 3: The prison readers have had it too good for too long.

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Speaker 1: Prison We've got a prison problem. We need to just

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Speaker 1: convert some of these into micro prisons. How about that? Okay, Jesse,

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Speaker 1: how about you? What's something you think is underrated?

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Speaker 2: I don't know if this.

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Speaker 4: Is underrated or just has a bad rap, but I

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Speaker 4: think that karaoke is really good.

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Speaker 1: It is a bad rap.

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Speaker 2: I feel like it's not like cool.

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Speaker 4: I also think that people only think that people who

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Speaker 4: are good at singing do you karaoke? And I'm here

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Speaker 4: on my soapbox to say that the best karaoke is

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Speaker 4: when you're really.

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Speaker 2: Bad but really keen.

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Speaker 4: Yeah, shouting as loud as possible to a song as

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Speaker 4: like the best release of emotions ever.

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Speaker 1: It is the it is slight, almost a full replace

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Speaker 1: for therapy. I'd say, like, it's it's cathartic to group

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Speaker 1: scream a song. Yeah, it is in this way that

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Speaker 1: I can't. It's so funny that you say that. Now

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Speaker 1: I'm like getting goosebumps. I'm like, yes, I was screaming

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Speaker 1: under the bridge recently with a group of people and

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Speaker 1: like everyone's doing the harmonies, like people were respecting the harmony.

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Speaker 1: It sounded like you were singing like the Welsh national anthem,

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Speaker 1: the way we have the harmonies popping and ship, and

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Speaker 1: that felt like that's power, you know what I mean.

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Speaker 1: Otherwise I'm a totally screaming like other songs.

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Speaker 3: But I cured my PTSD when we all went bomb

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Speaker 3: bomb bomb during the Caroline. Do you like karaoke, Matt?

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Speaker 3: I love karaoke, But there's two types, you know. There's

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Speaker 3: the one that's at the bar, and then there's the

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Speaker 3: one like in Ktown they have the rooms, yeah, and

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Speaker 3: it's just you and your homies and like the greatest

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Speaker 3: food you've ever had, singing do host.

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Speaker 2: You know, I really disagree with the rooms.

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Speaker 4: I think something I love about karaoke is the vibe

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Speaker 4: of the crowd and people.

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Speaker 2: Yeah, getting behind you, singing love Wow.

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Speaker 5: Yeah, I can only do the rooms. I feel like

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Speaker 5: I'm treating it like therapy. That's that's between me and

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Speaker 5: like a very small group of people.

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Speaker 2: That's not for the public.

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Speaker 1: I'm a rumor too, I'm a room.

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Speaker 2: Oh really nice.

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Speaker 1: I mean I'll get up, I'll get up. I don't

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Speaker 1: I don't mind, like because you'll usually be with it.

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Speaker 1: It's not like I go in like solo lone Wolf

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Speaker 1: karaoke and I'm like, I only have the stage and

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Speaker 1: then you know, botch my heart will go on or something.

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Speaker 2: But yeah, I did him.

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Speaker 4: I came to America on a solo trip, like just

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Speaker 4: after COVID finished, and so I was like on my own,

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Speaker 4: and I was like, what will I make myself do

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Speaker 4: or make myself go to a karaoke bar alone in

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Speaker 4: every city I go to And it was real fun

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Speaker 4: and I made friends with people.

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Speaker 1: Where'd you go? Where did you go to La? You

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Speaker 1: said you were in La? I did.

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Speaker 4: I was in La San Francisco, and then I flew

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Speaker 4: to Winnipeg and Canada and then to New York.

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Speaker 3: I remember, do you remember what karaoke bar in LA?

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Speaker 4: I went to one in San Francisco that was a

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Speaker 4: live piano player and then he just went up to

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Speaker 4: him and You're like, here's my song and then he

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Speaker 4: played it on the piano.

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Speaker 1: That was pretty.

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Speaker 2: It was like a plinky Plunkeys bar.

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Speaker 1: But probably I love clinky Plunkies if you're a regular

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Speaker 1: plinky punk It's my favorite Cilly and Murphy show. Yeah, overrated, Holly,

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Speaker 1: what is something you think is overrated?

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Speaker 5: I'm staying on the library theme. We have this thing

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Speaker 5: in the UK. I don't know if you've got this,

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Speaker 5: but we have like community libraries in phone boxes.

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Speaker 1: Do you have we have like little community like they

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Speaker 1: look like boxes, big birdhouses where you put whatever you

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Speaker 1: want in there.

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Speaker 2: Right, hate them? Hate them.

438
00:21:26,080 --> 00:21:29,119
Speaker 5: They're like really really twee and quane and have that

439
00:21:29,200 --> 00:21:31,720
Speaker 5: little bunting around them. And it's just an overrated book

440
00:21:31,760 --> 00:21:33,600
Speaker 5: swell for like books that people don't want. So it's

441
00:21:33,640 --> 00:21:36,399
Speaker 5: always just like Harry Potter and Dan Brown and crap

442
00:21:36,440 --> 00:21:39,280
Speaker 5: that people want to get rid of. They're usually in

443
00:21:39,400 --> 00:21:42,199
Speaker 5: towns where libraries have been axed and got rid of,

444
00:21:42,280 --> 00:21:44,520
Speaker 5: but everyone's really happy to have this community library.

445
00:21:44,840 --> 00:21:46,440
Speaker 2: Makes me so angry.

446
00:21:46,480 --> 00:21:50,520
Speaker 3: Interesting, it's kind of like, uh, you know, it's it's

447
00:21:50,800 --> 00:21:54,000
Speaker 3: the privatization of libraries. It's like if you want, if

448
00:21:54,040 --> 00:21:56,000
Speaker 3: you want to check out books, you have to put

449
00:21:56,000 --> 00:21:58,600
Speaker 3: them on your front lawn for everybody to take.

450
00:21:59,000 --> 00:21:59,160
Speaker 1: Right.

451
00:22:00,200 --> 00:22:02,000
Speaker 3: Kind of messed up. I never thought about it that way,

452
00:22:02,040 --> 00:22:03,760
Speaker 3: but it is how I get a John Grisham.

453
00:22:03,840 --> 00:22:05,520
Speaker 1: So yeah, no judgment.

454
00:22:05,680 --> 00:22:07,680
Speaker 5: You know, whatever you want to read, it's absolutely fine.

455
00:22:07,720 --> 00:22:10,040
Speaker 5: But that usually as well, Like in quite nice areas,

456
00:22:10,040 --> 00:22:11,840
Speaker 5: you don't really get to see this kind of quent

457
00:22:11,960 --> 00:22:15,280
Speaker 5: libraries in poorer areas, which I think is my beef.

458
00:22:15,640 --> 00:22:17,280
Speaker 1: Right, No, I totally get that, and the yeah, the

459
00:22:17,359 --> 00:22:19,919
Speaker 1: quality of the books. It definitely it feels more like

460
00:22:19,960 --> 00:22:24,480
Speaker 1: a receptacle for trash that is in book form, you know,

461
00:22:24,600 --> 00:22:26,359
Speaker 1: like because every time we have a couple of my

462
00:22:26,400 --> 00:22:29,520
Speaker 1: neighborhood and my partner she loves to read, and so

463
00:22:30,040 --> 00:22:32,320
Speaker 1: like every time it might be a book, and it's

464
00:22:32,359 --> 00:22:37,280
Speaker 1: always like, man, it's all fucking mid ash trash books

465
00:22:37,560 --> 00:22:38,119
Speaker 1: every time.

466
00:22:38,400 --> 00:22:41,760
Speaker 3: Three Tony Robbins and a Lacroix. Yeah, why is this

467
00:22:41,880 --> 00:22:43,040
Speaker 3: empty canon here?

468
00:22:44,280 --> 00:22:48,199
Speaker 1: There is a full one back there behind the like

469
00:22:48,359 --> 00:22:52,679
Speaker 1: libertarian literature, they have the heine Rand and shit, how

470
00:22:52,680 --> 00:22:55,160
Speaker 1: about you, Jesse? What is something you think is overrated?

471
00:22:55,520 --> 00:22:59,080
Speaker 4: I think that work is overrated. I don't want to

472
00:22:59,080 --> 00:23:02,440
Speaker 4: spend my time stress like stressing about paying rent. I

473
00:23:02,440 --> 00:23:05,920
Speaker 4: would love for us to get rid of caps.

474
00:23:07,960 --> 00:23:11,080
Speaker 1: How can we do that? I think AI is probably

475
00:23:11,160 --> 00:23:18,000
Speaker 1: our agrees anyone? Okay? What if we all own Tesla's

476
00:23:18,280 --> 00:23:21,600
Speaker 1: and then when we're sleeping, the Tesla's make money for

477
00:23:21,680 --> 00:23:28,680
Speaker 1: us by being robotaxis society has sounds full proof works.

478
00:23:30,200 --> 00:23:32,760
Speaker 1: What's what? What's like the I mean we'll get to

479
00:23:32,760 --> 00:23:34,520
Speaker 1: this story a little bit later, but I mean, uh,

480
00:23:34,840 --> 00:23:39,080
Speaker 1: you know you've unshackled yourselves from the Tory Party after

481
00:23:39,200 --> 00:23:44,960
Speaker 1: fourteen years? What is is there a feeling of buoyancy, lightness,

482
00:23:45,320 --> 00:23:47,400
Speaker 1: optimism in the UK right now?

483
00:23:47,680 --> 00:23:49,080
Speaker 2: Did you sign?

484
00:23:49,320 --> 00:23:52,080
Speaker 1: Yeah? I know That's why. I just always want us

485
00:23:52,119 --> 00:23:54,960
Speaker 1: to have perspective on how elections work and like what

486
00:23:55,040 --> 00:23:57,199
Speaker 1: the real stakes are that we see I think of

487
00:23:57,240 --> 00:23:59,879
Speaker 1: people very similar thinking versus what the sort of pull it.

488
00:24:00,320 --> 00:24:03,879
Speaker 4: Yeah, yeah, yeah, it's it's really tough because, yeah, I

489
00:24:03,920 --> 00:24:07,600
Speaker 4: think that it would be great to be feeling happier

490
00:24:07,600 --> 00:24:11,119
Speaker 4: now at the total landslide that happened, and you know,

491
00:24:11,160 --> 00:24:12,600
Speaker 4: we now have a labor government, but it.

492
00:24:12,600 --> 00:24:15,280
Speaker 2: Is a pretty central.

493
00:24:16,400 --> 00:24:17,960
Speaker 4: I don't think that me and Holly share that much

494
00:24:17,960 --> 00:24:22,320
Speaker 4: politics with this current form of labor. Sure, so in

495
00:24:22,400 --> 00:24:24,159
Speaker 4: some ways it's a little bit scary because a lot

496
00:24:24,200 --> 00:24:26,280
Speaker 4: of things that were happening under the Tories might still

497
00:24:26,280 --> 00:24:27,320
Speaker 4: happen under a new name.

498
00:24:28,119 --> 00:24:29,360
Speaker 2: And then also it might be hard.

499
00:24:29,359 --> 00:24:31,240
Speaker 4: You know, there's a level of complacency, isn't there when

500
00:24:31,280 --> 00:24:33,640
Speaker 4: you have what is what people say is a left

501
00:24:33,640 --> 00:24:34,880
Speaker 4: wing government in power.

502
00:24:35,160 --> 00:24:38,160
Speaker 1: Right, Yeah, exactly, it's like, let's be it's center left,

503
00:24:38,600 --> 00:24:41,200
Speaker 1: let's not get ahead of ourselves at best, and our

504
00:24:41,280 --> 00:24:44,800
Speaker 1: Democratic Party is like a center right it turns out,

505
00:24:45,400 --> 00:24:50,439
Speaker 1: so it's all perspective. It's all perspective. Well, yeah, it's

506
00:24:50,560 --> 00:24:52,320
Speaker 1: I don't know, Matt, we're gonna say something.

507
00:24:52,320 --> 00:24:54,919
Speaker 3: Sorry, no, no, I was just gonna say. I still

508
00:24:55,080 --> 00:24:57,280
Speaker 3: am stuck on how do you pronounce the new prime

509
00:24:57,320 --> 00:24:57,960
Speaker 3: minister's name?

510
00:24:58,440 --> 00:25:00,000
Speaker 1: Star it's cute.

511
00:25:00,200 --> 00:25:06,879
Speaker 3: Okay, yeah, stormer. Does he have like personal security guards?

512
00:25:06,920 --> 00:25:09,000
Speaker 3: And are they called stormtroopers?

513
00:25:10,520 --> 00:25:12,359
Speaker 2: You should write to him.

514
00:25:12,520 --> 00:25:15,119
Speaker 3: I saw that would get a bitter laugh than it did.

515
00:25:15,760 --> 00:25:17,040
Speaker 3: Just let everyone know I.

516
00:25:17,040 --> 00:25:19,720
Speaker 1: Was very proud. I was a big swing. It was

517
00:25:19,760 --> 00:25:20,440
Speaker 1: a big swing.

518
00:25:20,640 --> 00:25:23,280
Speaker 3: Sometimes you take a big swing on this podcast and

519
00:25:23,320 --> 00:25:24,200
Speaker 3: sometimes you miss.

520
00:25:24,600 --> 00:25:28,359
Speaker 1: Yeah. You just sent me like the bang bang bang emojis,

521
00:25:28,880 --> 00:25:30,560
Speaker 1: Like I keep sending.

522
00:25:30,240 --> 00:25:35,320
Speaker 3: You fire fire over and over again. Fire as fuck, right, dude, troopers.

523
00:25:37,000 --> 00:25:38,919
Speaker 1: I saw a clip recently and I don't know if

524
00:25:38,960 --> 00:25:41,399
Speaker 1: this is since I doubt it since he's become prime minister,

525
00:25:41,440 --> 00:25:43,720
Speaker 1: but he was like in a locker room and like

526
00:25:43,760 --> 00:25:46,959
Speaker 1: apparently this is like after playing football, and someone was like, hey, uh,

527
00:25:47,440 --> 00:25:51,119
Speaker 1: Palestine man, what do you think was that? How old

528
00:25:51,200 --> 00:25:53,320
Speaker 1: is that clip? And he was sort of like we

529
00:25:53,359 --> 00:25:55,520
Speaker 1: need a ceasefire and they're like, well, don't you do something?

530
00:25:56,800 --> 00:25:59,480
Speaker 4: I mean, I mean yeah, I mean he has cooled

531
00:26:00,080 --> 00:26:02,520
Speaker 4: in the last twenty four hours, which is like truly

532
00:26:03,000 --> 00:26:06,119
Speaker 4: all of us were like, don't say anything, like it

533
00:26:06,560 --> 00:26:08,800
Speaker 4: wasn't expected, and so that you know, that's cool. I

534
00:26:08,800 --> 00:26:12,080
Speaker 4: guess yeah, minimum, yeah, minimum.

535
00:26:12,400 --> 00:26:14,880
Speaker 5: And he also sacked all the MPs that previously called

536
00:26:14,880 --> 00:26:15,600
Speaker 5: for a ceasefire.

537
00:26:15,680 --> 00:26:16,720
Speaker 2: So there's like he did.

538
00:26:16,800 --> 00:26:20,280
Speaker 4: Yeah, yeah, Jesus, there was a lot a wee page

539
00:26:20,320 --> 00:26:20,800
Speaker 4: before the.

540
00:26:21,880 --> 00:26:24,120
Speaker 3: I would really love to get the bare minimum though

541
00:26:24,119 --> 00:26:30,480
Speaker 3: here you're really sick if we could get the bare minimum.

542
00:26:30,600 --> 00:26:33,280
Speaker 1: Yeah, but we get the version of like when a

543
00:26:33,359 --> 00:26:35,760
Speaker 1: parent is like being like nagged by a child, like yeah,

544
00:26:35,800 --> 00:26:38,199
Speaker 1: uh huh uh huh just one second. Yeah, right, So

545
00:26:38,280 --> 00:26:39,399
Speaker 1: now people are like.

546
00:26:39,600 --> 00:26:40,320
Speaker 2: It's jettous.

547
00:26:41,760 --> 00:26:44,960
Speaker 1: I know, daddy's gonna and daddy knows and daddy knows,

548
00:26:45,200 --> 00:26:48,840
Speaker 1: Daddy knows and daddy knows that, and that's bad. That's bad.

549
00:26:48,880 --> 00:26:50,679
Speaker 1: But we're not going to use that word today. Okay,

550
00:26:51,800 --> 00:26:55,480
Speaker 1: it's a curse word. Yeah yeah, what gosh, Well, we're

551
00:26:55,480 --> 00:26:58,600
Speaker 1: living off scraps, baby. You know, there's in so many.

552
00:26:58,359 --> 00:27:00,560
Speaker 3: Ways we can't even get in a lie guy to

553
00:27:00,600 --> 00:27:06,920
Speaker 3: be the Democratic nominee. Yes, just fully alive would be nice.

554
00:27:07,080 --> 00:27:10,040
Speaker 1: I know, it's so direed man like just to look

555
00:27:10,160 --> 00:27:13,760
Speaker 1: upon those what our potential future is. Anyway, let's do

556
00:27:13,840 --> 00:27:16,480
Speaker 1: that off mic, so we don't bum everyone out, and

557
00:27:16,560 --> 00:27:30,040
Speaker 1: we'll be right back after this and we're back and

558
00:27:30,160 --> 00:27:32,560
Speaker 1: there you may hear the trash guy right now, Matt

559
00:27:32,640 --> 00:27:37,000
Speaker 1: was saying, there's any trash banging again, we like to

560
00:27:37,040 --> 00:27:39,520
Speaker 1: have offer full transparency when it comes to the sounds

561
00:27:39,520 --> 00:27:41,960
Speaker 1: that you may be hearing as we have the show playing.

562
00:27:42,440 --> 00:27:44,560
Speaker 1: But anyway, the first story I wanted to get to

563
00:27:44,840 --> 00:27:48,440
Speaker 1: is is pretty big. It's it's from the quite esteemed journal,

564
00:27:48,720 --> 00:27:51,760
Speaker 1: the Landset. They just published a study, like as I

565
00:27:51,760 --> 00:27:53,480
Speaker 1: said at the top of the show called counting the

566
00:27:53,560 --> 00:27:57,439
Speaker 1: Dead in Gaza Difficult but Essential, which estimates that the

567
00:27:57,800 --> 00:28:02,159
Speaker 1: quote true death toll could reach more than one hundred

568
00:28:02,200 --> 00:28:08,920
Speaker 1: and eighty six thousand people. That is obviously exponentially more

569
00:28:08,960 --> 00:28:12,120
Speaker 1: than the thirty eight thousand that we hear being quoted

570
00:28:12,200 --> 00:28:15,480
Speaker 1: most of the time, because of course that number doesn't

571
00:28:15,560 --> 00:28:18,800
Speaker 1: take into account the quote thousands of dead buried under

572
00:28:18,840 --> 00:28:21,639
Speaker 1: rubble and indirect deaths due to destruction of health facilities,

573
00:28:21,640 --> 00:28:26,879
Speaker 1: food distribution systems and other public infrastructure. That figure is

574
00:28:27,040 --> 00:28:30,760
Speaker 1: actually a conservative estimate, as the Lancet said, it was

575
00:28:30,840 --> 00:28:35,040
Speaker 1: calculated using four indirect deaths for each direct death. But

576
00:28:35,200 --> 00:28:39,680
Speaker 1: as they said in this journal piece and other other conflicts,

577
00:28:39,680 --> 00:28:44,360
Speaker 1: indirect deaths range from three to fifteen times the number

578
00:28:44,400 --> 00:28:48,800
Speaker 1: of direct deaths. So this is the again the conservative number,

579
00:28:48,840 --> 00:28:51,120
Speaker 1: and that would amount to almost eight percent of the

580
00:28:51,160 --> 00:28:55,800
Speaker 1: total population in Gaza. Right now as it stands, the

581
00:28:55,800 --> 00:29:00,640
Speaker 1: CIA director Bill Burns is headed to Doha to continue

582
00:29:00,720 --> 00:29:03,480
Speaker 1: cease fire talks. This feels like a headline I've read

583
00:29:03,520 --> 00:29:06,800
Speaker 1: every other week when they're like they're the people are

584
00:29:06,800 --> 00:29:10,920
Speaker 1: trying to appease everyone who's absolutely outraged by the situation,

585
00:29:11,080 --> 00:29:13,920
Speaker 1: to put it lightly, And on Sunday, Hamas said it

586
00:29:13,960 --> 00:29:16,400
Speaker 1: was waiting to hear from Israel on their latest proposal.

587
00:29:16,480 --> 00:29:19,640
Speaker 1: So I'm not sure where this lands. But again, one

588
00:29:19,720 --> 00:29:22,360
Speaker 1: hundred and eighty six thousand is what they are saying

589
00:29:22,440 --> 00:29:25,160
Speaker 1: is a more realistic death toll given all of the

590
00:29:25,160 --> 00:29:28,760
Speaker 1: infrastructure damage. And again, like the way even the media

591
00:29:28,760 --> 00:29:31,320
Speaker 1: in the United States is like, oh wow, buildings are

592
00:29:31,360 --> 00:29:34,040
Speaker 1: toppled in Gaza, and it's like and those are and

593
00:29:34,080 --> 00:29:38,160
Speaker 1: people are inside, people inside of very important information.

594
00:29:37,880 --> 00:29:39,719
Speaker 3: And it makes total sense. I mean, you know, like

595
00:29:39,760 --> 00:29:42,600
Speaker 3: this this count that we've been getting, which is coming

596
00:29:42,600 --> 00:29:47,160
Speaker 3: from the Gaza Health ministry, is just based on bodies

597
00:29:47,200 --> 00:29:51,360
Speaker 3: that are identifiable and accounted for that have been directly killed.

598
00:29:51,880 --> 00:29:56,880
Speaker 3: People have been killed by Israeli bombing and gunfire, and

599
00:29:57,080 --> 00:30:00,440
Speaker 3: it makes total sense that, of course the indirect here

600
00:30:00,520 --> 00:30:04,239
Speaker 3: it's going to be where a big mass of the

601
00:30:04,280 --> 00:30:07,480
Speaker 3: body count is eventually going to be reported. In fact,

602
00:30:07,640 --> 00:30:12,560
Speaker 3: the United Nations just now today released a press release

603
00:30:12,600 --> 00:30:16,840
Speaker 3: that says UN experts declare famine has spread throughout the

604
00:30:16,880 --> 00:30:22,320
Speaker 3: Gaza Strip. This is according to the United Nations Human

605
00:30:22,400 --> 00:30:27,000
Speaker 3: Rights Office of the High Commissioner. And so it's like, yeah,

606
00:30:27,160 --> 00:30:30,840
Speaker 3: like this, this number that keeps getting trodded out feels

607
00:30:30,840 --> 00:30:32,760
Speaker 3: like it hasn't changed for a lot of people. Yeah,

608
00:30:32,760 --> 00:30:35,200
Speaker 3: we're like, haven't we been saying like thirty five ish

609
00:30:35,240 --> 00:30:37,440
Speaker 3: thousands since like January?

610
00:30:37,920 --> 00:30:38,040
Speaker 1: Right?

611
00:30:38,120 --> 00:30:41,640
Speaker 3: And yet every day we see more and more videos

612
00:30:41,640 --> 00:30:46,400
Speaker 3: of this destruction and we're stuck on this number. And

613
00:30:46,440 --> 00:30:48,719
Speaker 3: it just you know, for anyone who's been paying attention,

614
00:30:48,840 --> 00:30:53,480
Speaker 3: you just sit there knowing how much worse it actually is.

615
00:30:54,160 --> 00:30:57,320
Speaker 1: And it's people willing to engage with the news and

616
00:30:57,360 --> 00:30:59,520
Speaker 1: not sort of look away like I think most people

617
00:31:00,200 --> 00:31:03,160
Speaker 1: tend to do because it's horrifying. But again, this is

618
00:31:03,480 --> 00:31:05,320
Speaker 1: these are sort of like the stakes I think that

619
00:31:05,360 --> 00:31:08,600
Speaker 1: people have to understand when you look at like how

620
00:31:08,640 --> 00:31:12,080
Speaker 1: a government works and what you wanted to do or

621
00:31:12,120 --> 00:31:14,440
Speaker 1: not do. These are the kinds of things that factor

622
00:31:14,480 --> 00:31:16,920
Speaker 1: into it. And I know, like again, like you look

623
00:31:16,960 --> 00:31:21,200
Speaker 1: at the polling for the support just in America for

624
00:31:21,400 --> 00:31:25,280
Speaker 1: actually having some kind of meaningful ceasefire, it's overwhelming. Yeah,

625
00:31:25,320 --> 00:31:28,920
Speaker 1: And yet again, because we have a military industrial complex

626
00:31:28,960 --> 00:31:32,840
Speaker 1: that needs constant feeding of funds, this is what we get.

627
00:31:33,360 --> 00:31:34,440
Speaker 1: And this is like, you know, and I think a

628
00:31:34,440 --> 00:31:37,360
Speaker 1: lot of there's so many it's not just even in

629
00:31:37,600 --> 00:31:40,680
Speaker 1: like armed conflict. I remember even with Hurricane Maria right

630
00:31:40,680 --> 00:31:43,880
Speaker 1: in Puerto Rico, there was this amount of deaths that

631
00:31:43,920 --> 00:31:45,680
Speaker 1: the sort of US government was sort of like and

632
00:31:45,680 --> 00:31:47,960
Speaker 1: only like if you like, maybe a couple of people died,

633
00:31:48,000 --> 00:31:51,000
Speaker 1: but when you actually really look at the entirety of it,

634
00:31:51,080 --> 00:31:53,840
Speaker 1: the lack of power and access to medical care and

635
00:31:53,880 --> 00:31:55,520
Speaker 1: like clean water and things and what that actually did

636
00:31:55,600 --> 00:31:58,040
Speaker 1: for other people, it was much higher. And I think

637
00:31:58,040 --> 00:32:01,280
Speaker 1: people really need to take this to consideration, or at

638
00:32:01,320 --> 00:32:03,440
Speaker 1: least I don't think anyone listening to this show is

639
00:32:03,480 --> 00:32:05,440
Speaker 1: like I'm on the fence about what's happening in case.

640
00:32:05,600 --> 00:32:07,680
Speaker 4: But you know, I think what you said about the

641
00:32:07,680 --> 00:32:10,240
Speaker 4: military industrial complex is really important as well, because it's

642
00:32:10,240 --> 00:32:12,680
Speaker 4: like I don't think it's a tool meaningful for the

643
00:32:12,960 --> 00:32:15,200
Speaker 4: head of the CIA to go and quote unquote cool

644
00:32:15,240 --> 00:32:17,920
Speaker 4: for a seaspire when America is selling that many arms

645
00:32:17,920 --> 00:32:18,840
Speaker 4: to Israel.

646
00:32:18,840 --> 00:32:20,200
Speaker 2: Right like that, do you see what I mean?

647
00:32:20,240 --> 00:32:23,680
Speaker 1: Like, that's your money factor in if you're well, I

648
00:32:23,840 --> 00:32:25,320
Speaker 1: profit from this con ye.

649
00:32:25,920 --> 00:32:28,040
Speaker 3: And he would be clear in saying, Oh, i am

650
00:32:28,080 --> 00:32:31,320
Speaker 3: not calling for a ceasefire. I'm trying to broker a

651
00:32:31,400 --> 00:32:36,000
Speaker 3: negotiation in which we eventually get the whole permanent seaspire

652
00:32:36,040 --> 00:32:38,760
Speaker 3: taken off the table, and which is kind of where

653
00:32:38,760 --> 00:32:40,760
Speaker 3: it's at right now. Yeah, that is where it's at.

654
00:32:40,960 --> 00:32:45,280
Speaker 3: The proposal Hamas has actually agreed to take out the

655
00:32:45,320 --> 00:32:48,520
Speaker 3: first demand of a permanent sea spire in favor of

656
00:32:48,560 --> 00:32:51,040
Speaker 3: all the other demands. And it's just like, you know,

657
00:32:51,160 --> 00:32:54,960
Speaker 3: we just keep going around in circles until somebody with

658
00:32:55,240 --> 00:32:58,400
Speaker 3: power in the United States admit.

659
00:32:58,240 --> 00:32:58,719
Speaker 1: Could that be?

660
00:32:59,000 --> 00:33:03,280
Speaker 3: Yeah, that Israel is acting in bad faith at all times?

661
00:33:03,520 --> 00:33:09,000
Speaker 1: Yeah? Really, well that leads us to our predicament here

662
00:33:09,080 --> 00:33:12,360
Speaker 1: with the presidential race. Just just what polls are meaningless,

663
00:33:12,400 --> 00:33:14,800
Speaker 1: but they're they're fun to just talk about because obviously

664
00:33:14,960 --> 00:33:18,080
Speaker 1: they they never actually end up the way you hear

665
00:33:18,080 --> 00:33:18,479
Speaker 1: about it.

666
00:33:18,560 --> 00:33:21,360
Speaker 3: Oh, but it's like fantasy football. Let's have a good time.

667
00:33:21,480 --> 00:33:23,720
Speaker 1: You know, it's a snapshot of what a couple maybe

668
00:33:23,760 --> 00:33:26,600
Speaker 1: forty five people are thinking that they pulled and then

669
00:33:26,640 --> 00:33:29,640
Speaker 1: extrapolated that to the entire populace. But a new poll

670
00:33:29,680 --> 00:33:32,160
Speaker 1: showed that Biden is trailing Trump, but in the same amount.

671
00:33:32,160 --> 00:33:34,520
Speaker 1: It's forty two to forty three percent. But because of

672
00:33:34,560 --> 00:33:37,360
Speaker 1: the speculation around Biden staying in or dropping out. Their

673
00:33:37,480 --> 00:33:40,680
Speaker 1: survey also looked into how other Democratic candidates would stack

674
00:33:40,760 --> 00:33:43,960
Speaker 1: up in the election, including Gavin Newsom, Michigan governor Gretchen

675
00:33:44,160 --> 00:33:48,920
Speaker 1: Governor Gretchen Whitmer, who both came out behind Trump. But

676
00:33:49,040 --> 00:33:52,000
Speaker 1: you know who ran ahead of Trump forty two percent

677
00:33:52,080 --> 00:33:56,600
Speaker 1: to forty one percent was Kamala Harris. Hey, guess what

678
00:33:57,200 --> 00:34:00,760
Speaker 1: when you pair Kamala Harris with Hillary Clinton, it put

679
00:34:00,840 --> 00:34:05,000
Speaker 1: Democrats quote in the strongest position, beating Trump forty three

680
00:34:05,040 --> 00:34:15,560
Speaker 1: percent to forty percent. I this feels like such a funny.

681
00:34:18,200 --> 00:34:20,319
Speaker 3: We're gonna lose. Let it be funny, That's what I say.

682
00:34:20,360 --> 00:34:21,560
Speaker 3: Come on, oh.

683
00:34:21,360 --> 00:34:23,319
Speaker 1: Man, well I mean again, Also, this feels like the

684
00:34:23,560 --> 00:34:27,160
Speaker 1: absolute kind of thing where like the Polster class is like, man,

685
00:34:27,280 --> 00:34:30,239
Speaker 1: just get something out there that really shows like anything.

686
00:34:30,400 --> 00:34:33,840
Speaker 1: But this could work because we were cheerleading it the

687
00:34:33,840 --> 00:34:36,480
Speaker 1: whole time, but now suddenly we're feeling the heat because

688
00:34:36,480 --> 00:34:37,520
Speaker 1: we were the ones.

689
00:34:37,280 --> 00:34:38,520
Speaker 3: That were keeping this guy here.

690
00:34:38,640 --> 00:34:41,320
Speaker 5: Oh oh gosh, I honestly don't know how you're cupping

691
00:34:41,320 --> 00:34:43,400
Speaker 5: because when we had our election, they have like six

692
00:34:43,480 --> 00:34:45,520
Speaker 5: weeks build up to it. But you guys have like

693
00:34:45,560 --> 00:34:47,239
Speaker 5: a whole year of this, don't you We.

694
00:34:47,239 --> 00:34:52,400
Speaker 1: Had two years? Yeah, so much because everything is about

695
00:34:52,520 --> 00:34:55,600
Speaker 1: again generating as much money as possible. If you're allowed

696
00:34:55,600 --> 00:34:59,040
Speaker 1: to campaign so far out, that means everybody from the campaign,

697
00:34:59,560 --> 00:35:03,640
Speaker 1: like strict Tjery, you know, industry, they start getting their checks,

698
00:35:03,640 --> 00:35:06,920
Speaker 1: the polsters start getting their checks. That's like, that's what

699
00:35:06,960 --> 00:35:08,960
Speaker 1: it's all about. And yeah, I mean like I wish

700
00:35:09,040 --> 00:35:11,799
Speaker 1: we had like more again, like we've also deemed that

701
00:35:11,840 --> 00:35:14,560
Speaker 1: corporations are people that have a legitimate voice in our election.

702
00:35:14,719 --> 00:35:18,839
Speaker 1: So you know, do with that what you will. Yeah,

703
00:35:18,840 --> 00:35:21,239
Speaker 1: but like you know, other countries have like you know,

704
00:35:21,360 --> 00:35:25,080
Speaker 1: harder rules, like everyone has the same budget, go and

705
00:35:25,120 --> 00:35:27,920
Speaker 1: you have the same amount of time go. But again,

706
00:35:28,200 --> 00:35:31,440
Speaker 1: because we are that's on americocracy, built on you know,

707
00:35:31,640 --> 00:35:36,480
Speaker 1: corporate kleptocracy. It's yeah, it's point difficult. Unfortunately, how do

708
00:35:36,520 --> 00:35:38,640
Speaker 1: you guys do it? You guys have one of them parliaments?

709
00:35:38,719 --> 00:35:41,680
Speaker 1: Is that right? I used to do drugs out of

710
00:35:41,719 --> 00:35:46,000
Speaker 1: those Yeah yeah, cigarette never mind, yeah yeah yeah.

711
00:35:46,040 --> 00:35:48,719
Speaker 3: It's not like the cocaine cigarette.

712
00:35:49,840 --> 00:35:52,080
Speaker 1: No, but yeah, I mean, how how what is like

713
00:35:52,120 --> 00:35:55,759
Speaker 1: sort of the your election season? Like what is yeah?

714
00:35:55,760 --> 00:35:57,960
Speaker 1: How like how quickly does it sort of explode and

715
00:35:57,960 --> 00:36:02,080
Speaker 1: then fade away? Because we're slowly being boiled over here.

716
00:36:02,120 --> 00:36:04,359
Speaker 5: It's like six weeks they announce the election, You've got

717
00:36:04,400 --> 00:36:07,200
Speaker 5: six weeks to prepare. But obviously, the way things have

718
00:36:07,200 --> 00:36:09,200
Speaker 5: been going to, everyone's knew that an election was coming

719
00:36:09,239 --> 00:36:11,600
Speaker 5: up anyway. So I thinks I've been moving around and

720
00:36:11,640 --> 00:36:16,239
Speaker 5: it's just NonStop debates, waterwall pols, news headlines. But six

721
00:36:16,280 --> 00:36:19,799
Speaker 5: weeks of that feels more bearable than a whole year,

722
00:36:19,800 --> 00:36:22,200
Speaker 5: two year cycle of that that's just non stop.

723
00:36:22,640 --> 00:36:25,080
Speaker 3: Yeah yeah, Well, I mean we have a huge chunk

724
00:36:25,120 --> 00:36:29,000
Speaker 3: of our economy is election money. So you know, true,

725
00:36:29,000 --> 00:36:31,920
Speaker 3: you have to keep into account that if you shorten elections,

726
00:36:32,000 --> 00:36:34,000
Speaker 3: you know what are Pundit's going to do for the

727
00:36:34,000 --> 00:36:35,560
Speaker 3: rest of the four years.

728
00:36:35,680 --> 00:36:38,920
Speaker 1: You know, what are they going to talk about? Sports policy?

729
00:36:39,360 --> 00:36:39,560
Speaker 4: Now?

730
00:36:40,960 --> 00:36:43,239
Speaker 5: Well, if Biden doesn't win. Then you can always start

731
00:36:43,239 --> 00:36:45,680
Speaker 5: a really blanned podcast with Bruce Springsteen when he comes

732
00:36:45,680 --> 00:36:46,240
Speaker 5: out of office.

733
00:36:46,760 --> 00:36:51,520
Speaker 1: Yeah together, Yeah right. Oh gosh, that was a wild one,

734
00:36:51,600 --> 00:36:52,640
Speaker 1: wasn't it did.

735
00:36:52,840 --> 00:36:55,440
Speaker 2: I like to think that doesn't exist. I wiped it

736
00:36:55,440 --> 00:36:55,960
Speaker 2: for my brain.

737
00:36:56,160 --> 00:36:58,160
Speaker 1: What did you make of that? As Boss fans?

738
00:36:58,440 --> 00:36:59,880
Speaker 2: I have not listened to it.

739
00:37:00,480 --> 00:37:02,560
Speaker 1: Can't you even bring yourself to listen to that? Well?

740
00:37:02,800 --> 00:37:06,239
Speaker 5: We had to listen to it for research purposes. I

741
00:37:06,280 --> 00:37:07,920
Speaker 5: was looking for a quote and I had to say

742
00:37:07,960 --> 00:37:12,440
Speaker 5: three ten minutes of it and the most insipid liberal nonsense.

743
00:37:12,520 --> 00:37:13,200
Speaker 2: It's just nothing.

744
00:37:13,320 --> 00:37:16,319
Speaker 5: It's just no one's saying anything on that podcast. No

745
00:37:16,360 --> 00:37:17,920
Speaker 5: one is saying anything.

746
00:37:17,719 --> 00:37:20,719
Speaker 1: Right, right, right, Yeah, that's the and that's the thing

747
00:37:20,920 --> 00:37:21,440
Speaker 1: about that.

748
00:37:22,160 --> 00:37:25,040
Speaker 3: Uh huh. And I want to I want to listen

749
00:37:25,080 --> 00:37:26,400
Speaker 3: to this and just tune out.

750
00:37:26,440 --> 00:37:27,920
Speaker 1: I want to. I want to listen to it and

751
00:37:28,000 --> 00:37:29,760
Speaker 1: stare at a blank wall for a while.

752
00:37:30,239 --> 00:37:34,040
Speaker 2: I mean, yeah, yeah, sleep gently.

753
00:37:34,680 --> 00:37:36,600
Speaker 1: This is like I think this is what's so wild too,

754
00:37:36,640 --> 00:37:38,719
Speaker 1: because I hear from older people too. They're like, I mean,

755
00:37:39,120 --> 00:37:40,640
Speaker 1: you guys gotta fit, you know, you gotta stay, you

756
00:37:40,680 --> 00:37:43,400
Speaker 1: gotta get in line, you know, and and support like that.

757
00:37:43,560 --> 00:37:47,000
Speaker 1: This candidate. And there's there's a huge dimension that is

758
00:37:47,000 --> 00:37:50,719
Speaker 1: always missing from the discourse around how younger people look

759
00:37:50,760 --> 00:37:54,240
Speaker 1: at a presidential candidate these days is we have had

760
00:37:54,600 --> 00:37:59,160
Speaker 1: like back to back to back economic like souplexus that

761
00:37:59,239 --> 00:38:02,359
Speaker 1: broke our fucking and souls, and when we look at

762
00:38:02,400 --> 00:38:05,680
Speaker 1: only increasing inequality, we're becoming so much more aware of

763
00:38:05,719 --> 00:38:09,920
Speaker 1: the prison industrial complex, over policing, the mismanagement of funds

764
00:38:09,920 --> 00:38:12,560
Speaker 1: and where they go and who it supports. That everyone

765
00:38:12,640 --> 00:38:15,680
Speaker 1: is now being like, the status quo is fucking violence.

766
00:38:15,800 --> 00:38:18,760
Speaker 1: Like people don't understand that. That's like, that's my default position.

767
00:38:19,040 --> 00:38:21,960
Speaker 1: The status quo is violence. And I know that for

768
00:38:22,200 --> 00:38:25,480
Speaker 1: a you know, a very fortunate few, life is very

769
00:38:25,520 --> 00:38:29,520
Speaker 1: peaceful and you have no existential threats to your personhood

770
00:38:29,600 --> 00:38:31,799
Speaker 1: or anything like that, but for many other people that

771
00:38:31,920 --> 00:38:36,080
Speaker 1: is not the case. And like to not acknowledge that

772
00:38:36,120 --> 00:38:40,799
Speaker 1: sort of like anger, frustration, fear that exists and just

773
00:38:40,800 --> 00:38:42,440
Speaker 1: be like, well, you know, we just got just just

774
00:38:42,520 --> 00:38:44,319
Speaker 1: to figure it out, don't worry about all these other

775
00:38:44,360 --> 00:38:47,080
Speaker 1: things you guys are crowing about, just get behind the candidate.

776
00:38:47,239 --> 00:38:49,600
Speaker 1: It's such a fucking slap in the face. And I

777
00:38:49,640 --> 00:38:52,160
Speaker 1: wish like there's a way that, like, I mean, you know,

778
00:38:52,680 --> 00:38:55,719
Speaker 1: at the very again the bare minimum, right, could be

779
00:38:55,800 --> 00:38:59,120
Speaker 1: the Biden campaign being like, look, this isn't a great

780
00:38:59,440 --> 00:39:03,200
Speaker 1: fucking deal here, and we understand that a lot of

781
00:39:03,280 --> 00:39:07,399
Speaker 1: shit can be better. We can you know, maybe we

782
00:39:07,440 --> 00:39:10,759
Speaker 1: can try to do some stuff, but trying like it's

783
00:39:11,040 --> 00:39:13,120
Speaker 1: nothing like that. It's just being beat over the head

784
00:39:13,120 --> 00:39:16,040
Speaker 1: with like, well then you want fascism, No, we fucking don't.

785
00:39:16,120 --> 00:39:18,080
Speaker 1: That's why so many people in their communities do what

786
00:39:18,120 --> 00:39:20,719
Speaker 1: they have to do to fight that off.

787
00:39:21,000 --> 00:39:24,640
Speaker 3: Kind of seems like you guys want fascism, being that

788
00:39:24,800 --> 00:39:28,400
Speaker 3: you are willing to just lose an election to Trump

789
00:39:28,960 --> 00:39:32,880
Speaker 3: because all of you are too afraid to put your

790
00:39:32,920 --> 00:39:36,320
Speaker 3: own careers on the line well and back a different candidate.

791
00:39:36,520 --> 00:39:38,080
Speaker 5: You know, it sounds very so much to what we

792
00:39:38,200 --> 00:39:39,920
Speaker 5: just had in the UK as well. I think everyone

793
00:39:40,080 --> 00:39:41,799
Speaker 5: was I think the last six weeks had just been

794
00:39:42,000 --> 00:39:44,520
Speaker 5: feeling so guilty that we don't vote labor, then we're

795
00:39:44,600 --> 00:39:47,560
Speaker 5: voting in fascism. But right that it's like saying that

796
00:39:47,600 --> 00:39:49,480
Speaker 5: people say, isn't It's like you're voting the lesser of

797
00:39:49,480 --> 00:39:51,839
Speaker 5: two evils, but forgetting you're still voting for evil at

798
00:39:51,880 --> 00:39:53,319
Speaker 5: the end, of the day. Like, it's not you're not

799
00:39:53,400 --> 00:39:55,239
Speaker 5: voting with herp in your heart. You're not voting with

800
00:39:55,280 --> 00:39:58,360
Speaker 5: an actual choice. You're voting because it's slightly less fascist

801
00:39:58,400 --> 00:40:01,320
Speaker 5: than the big fascist. But yeah, when labor on actually

802
00:40:01,400 --> 00:40:04,600
Speaker 5: offering an alternative or opposition, then that just allows fascism

803
00:40:04,640 --> 00:40:07,600
Speaker 5: to grow even more. So what is the point in that, right?

804
00:40:07,680 --> 00:40:09,520
Speaker 2: Yea, And that's what's so exciting.

805
00:40:09,560 --> 00:40:11,160
Speaker 4: I know we can talk about it more later, but

806
00:40:11,160 --> 00:40:13,400
Speaker 4: that's what's so exciting about the election results in France

807
00:40:13,960 --> 00:40:15,600
Speaker 4: is that it was like a left wing, a genuinely

808
00:40:15,680 --> 00:40:19,080
Speaker 4: left wing coalition that like surpassed the two party system.

809
00:40:19,120 --> 00:40:20,960
Speaker 4: And that's a really really exciting thing that you can

810
00:40:21,080 --> 00:40:22,880
Speaker 4: actually vote for something that you do believe in.

811
00:40:23,400 --> 00:40:27,000
Speaker 1: Yeah, the videos of all the right wing French people

812
00:40:27,320 --> 00:40:31,680
Speaker 1: like studying for the returns to come warming absolutely ashen faced.

813
00:40:31,719 --> 00:40:36,600
Speaker 1: I was like, oh my god, Yeah, this is what

814
00:40:36,640 --> 00:40:39,120
Speaker 1: I have to hold on to as my country falls apart,

815
00:40:39,160 --> 00:40:41,719
Speaker 1: and so be it. At least I had that. But yeah,

816
00:40:41,760 --> 00:40:45,000
Speaker 1: I mean, like that's the thing we we understand, many

817
00:40:45,000 --> 00:40:48,439
Speaker 1: people understand the stakes. No, I'm not voting for Donald Trump.

818
00:40:48,480 --> 00:40:50,480
Speaker 1: I'm not going to ever support him or his or

819
00:40:50,480 --> 00:40:54,359
Speaker 1: his candidacy. But unfortunately, I'm like, well, the only other

820
00:40:54,400 --> 00:40:56,560
Speaker 1: option is this other thing. But I, as a voter,

821
00:40:56,719 --> 00:40:59,759
Speaker 1: feel completely unheard on so many other issues. That's where

822
00:40:59,800 --> 00:41:02,640
Speaker 1: my resentment comes in as a voter, because I'm like,

823
00:41:02,920 --> 00:41:05,680
Speaker 1: you guys fucking wore Kinte Claudes in the capitol talking

824
00:41:05,680 --> 00:41:08,040
Speaker 1: about you were going to do something about over policing

825
00:41:08,280 --> 00:41:12,080
Speaker 1: and white supremacy. You've made all these fucking noises about

826
00:41:12,120 --> 00:41:14,400
Speaker 1: the pandemic and people's safety, and then there's like all

827
00:41:14,440 --> 00:41:17,040
Speaker 1: the fucking safety measures got pulled out from under people

828
00:41:17,239 --> 00:41:20,600
Speaker 1: you're talking about. There's so many things on the agenda,

829
00:41:20,680 --> 00:41:22,680
Speaker 1: and I get that there are other things that happen,

830
00:41:22,800 --> 00:41:24,880
Speaker 1: but there are a lot of voters who are like

831
00:41:24,960 --> 00:41:27,719
Speaker 1: come from these marginalized groups, or people are just looking

832
00:41:27,760 --> 00:41:31,040
Speaker 1: at their own situation and say the status quo like

833
00:41:31,120 --> 00:41:33,040
Speaker 1: will actually be the end of me? Like if things

834
00:41:33,120 --> 00:41:35,239
Speaker 1: keep going as it is, this will be the end

835
00:41:35,239 --> 00:41:37,960
Speaker 1: of me. So I need to hear something different, And

836
00:41:38,000 --> 00:41:39,919
Speaker 1: a lot of people resent the fact that the only

837
00:41:39,960 --> 00:41:42,520
Speaker 1: thing they're hearing is well, you better get or you

838
00:41:42,520 --> 00:41:45,920
Speaker 1: want fascism. It's that that's so fucked up, Like you

839
00:41:46,000 --> 00:41:48,400
Speaker 1: have to acknowledge what people are going through. And it

840
00:41:48,440 --> 00:41:51,600
Speaker 1: doesn't mean you're conceding the election by acknowledging these things.

841
00:41:51,840 --> 00:41:54,720
Speaker 1: But this is and I think this is a situation

842
00:41:54,760 --> 00:41:58,160
Speaker 1: where I think Americans have become so used to being like, well,

843
00:41:58,200 --> 00:42:01,239
Speaker 1: I have to vote for the Democrat because that as

844
00:42:01,280 --> 00:42:04,080
Speaker 1: a binary, yeah, that's the better decision. But they're also

845
00:42:04,200 --> 00:42:07,920
Speaker 1: for the status quo, which still means death, which means violence,

846
00:42:07,960 --> 00:42:11,040
Speaker 1: which means inequality, and that is like the biggest things

847
00:42:11,080 --> 00:42:14,799
Speaker 1: we're trying to contend with. So anyway things are going

848
00:42:14,840 --> 00:42:18,279
Speaker 1: right over here? How do you just get that off

849
00:42:18,320 --> 00:42:22,080
Speaker 1: my chest. It's just very it's just a difficult time.

850
00:42:22,160 --> 00:42:25,160
Speaker 4: And it's just not a choice, is it, As you say, like,

851
00:42:25,200 --> 00:42:28,319
Speaker 4: that's just not no, that's like, yeah, no one has

852
00:42:28,320 --> 00:42:29,000
Speaker 4: any agency there.

853
00:42:29,440 --> 00:42:31,520
Speaker 1: The other way too, I look at it is like

854
00:42:32,200 --> 00:42:35,240
Speaker 1: to be more involved in local politics and more things

855
00:42:35,320 --> 00:42:39,640
Speaker 1: involved with your community. Guess what that the gains that

856
00:42:39,680 --> 00:42:42,799
Speaker 1: you can make would look easier if the Democrats kept

857
00:42:42,840 --> 00:42:46,439
Speaker 1: the White House versus the Republicans taking the White House,

858
00:42:46,480 --> 00:42:49,400
Speaker 1: and then what that means like just downwardly just in

859
00:42:49,440 --> 00:42:52,560
Speaker 1: terms of an overall policy. But even then it's like

860
00:42:53,080 --> 00:42:55,920
Speaker 1: that's that's the most like some people can like latch

861
00:42:55,920 --> 00:42:57,840
Speaker 1: on just like well, at least it won't be worse.

862
00:42:57,960 --> 00:43:00,880
Speaker 1: And I think that's just such a different beats like

863
00:43:01,120 --> 00:43:05,680
Speaker 1: positioned to be trying to to change the country from that. Yeah,

864
00:43:05,800 --> 00:43:08,759
Speaker 1: it's it's a it's a huge issue. It's a huge issue,

865
00:43:09,120 --> 00:43:12,560
Speaker 1: and I really wish that, I really wish our capitalist

866
00:43:12,600 --> 00:43:15,560
Speaker 1: overlords would take the ills of capitalism seriously.

867
00:43:15,920 --> 00:43:17,919
Speaker 2: Oh maybe if we ask them nicely they will.

868
00:43:18,680 --> 00:43:18,960
Speaker 1: Yeah.

869
00:43:19,080 --> 00:43:23,440
Speaker 4: Yeah, Yeah, there's like it's a tough one as well,

870
00:43:23,520 --> 00:43:25,000
Speaker 4: isn't it. Like I don't I don't know about the

871
00:43:25,080 --> 00:43:28,279
Speaker 4: US and the UK, there have been some studies that show, like,

872
00:43:28,400 --> 00:43:32,160
Speaker 4: you know, big lobbying organizations and places like that like

873
00:43:32,320 --> 00:43:35,200
Speaker 4: do a lot less under a labor government than under

874
00:43:35,200 --> 00:43:38,000
Speaker 4: a Tory government, even if similar things are happening, because

875
00:43:38,000 --> 00:43:41,600
Speaker 4: there's this like perception that's senter left is like safer

876
00:43:41,640 --> 00:43:44,360
Speaker 4: and better. So it's like a it's a hard balance

877
00:43:44,400 --> 00:43:45,719
Speaker 4: I think with that as well, where you're like, no,

878
00:43:45,760 --> 00:43:48,719
Speaker 4: we actually still need to like really keep mobilizing and yeah,

879
00:43:48,800 --> 00:43:49,719
Speaker 4: taking to the streets and.

880
00:43:49,680 --> 00:43:51,080
Speaker 2: Doing all the things that we were doing under the tour.

881
00:43:51,239 --> 00:43:53,760
Speaker 1: Yes, because I'm I'm under not I don't think anyone's

882
00:43:53,800 --> 00:43:55,480
Speaker 1: under the impression it's like it's it's going to be

883
00:43:55,520 --> 00:44:00,319
Speaker 1: a top down solution here. It's like, no, that's why

884
00:44:00,400 --> 00:44:03,280
Speaker 1: you have to pour into things like locally, because that

885
00:44:03,280 --> 00:44:06,000
Speaker 1: that's your immediate environment. Joe Biden doesn't give a fuck

886
00:44:06,040 --> 00:44:08,239
Speaker 1: about North Hollywood or the San Fernanda, doesn't give a

887
00:44:08,239 --> 00:44:10,800
Speaker 1: fuck unless he has a fundraiser there. But like the

888
00:44:11,120 --> 00:44:12,880
Speaker 1: people that do, those are the people you live with,

889
00:44:12,960 --> 00:44:14,279
Speaker 1: and those are the people that you need to have

890
00:44:14,320 --> 00:44:17,520
Speaker 1: the bonds with to you know, resist any kind of

891
00:44:18,040 --> 00:44:22,080
Speaker 1: real bullshit, like you know, totally like federally organized bullshit

892
00:44:22,120 --> 00:44:26,439
Speaker 1: that might be in our future anyway. So uh, let's

893
00:44:26,480 --> 00:44:32,239
Speaker 1: move on to flirting good exact and you know what

894
00:44:32,800 --> 00:44:37,680
Speaker 1: that guy does. We like to violent, jarring fucking transitions. Baby.

895
00:44:39,640 --> 00:44:44,160
Speaker 1: But anyway, ten Z, look, I'm glad, like millennials, we

896
00:44:44,239 --> 00:44:47,920
Speaker 1: are officially washed and have become the hollowed out husks

897
00:44:48,239 --> 00:44:52,359
Speaker 1: of what was once considered cool. Gen Z now has

898
00:44:52,400 --> 00:44:55,279
Speaker 1: the mantle and now y'all are the generation that is

899
00:44:55,400 --> 00:44:59,839
Speaker 1: killing an industry or destroying this custom whatever the fuck

900
00:45:00,120 --> 00:45:02,560
Speaker 1: used to say about us. The latest body that gen

901
00:45:02,680 --> 00:45:06,279
Speaker 1: Z caught now is that they've fucking it's the end

902
00:45:06,280 --> 00:45:09,560
Speaker 1: of flirting. They have killed flirting. I really want to

903
00:45:09,600 --> 00:45:12,680
Speaker 1: read this New York Post opening paragraph because the New

904
00:45:12,760 --> 00:45:16,719
Speaker 1: York coorts post very conservative, really fucking stupid, and this

905
00:45:16,800 --> 00:45:19,000
Speaker 1: is how they This is like their sort of vibe

906
00:45:19,040 --> 00:45:21,360
Speaker 1: and talking about a gen Z killed flirting quote. Liking

907
00:45:21,400 --> 00:45:24,440
Speaker 1: an Instagram story or sliding into someone's dms are ways

908
00:45:24,480 --> 00:45:27,880
Speaker 1: to express romantic interest in the digital age, but technology

909
00:45:27,920 --> 00:45:30,239
Speaker 1: may actually have made it harder for singles trying to

910
00:45:30,280 --> 00:45:33,520
Speaker 1: score a date. Gen z ors especially struggle to master

911
00:45:33,640 --> 00:45:36,400
Speaker 1: the art of flirting in an era of social media

912
00:45:36,440 --> 00:45:39,839
Speaker 1: and dating apps. Quote. I think flirting is dying. Los

913
00:45:39,880 --> 00:45:44,080
Speaker 1: Angeles resident Nikki san Janco's twenty four told NBC if

914
00:45:44,080 --> 00:45:46,040
Speaker 1: someone thinks you're cute, they just ask you for your

915
00:45:46,080 --> 00:45:48,359
Speaker 1: Instagram these days and then DM you or swipe up

916
00:45:48,360 --> 00:45:50,600
Speaker 1: on your story to show they're interested. The state of

917
00:45:50,680 --> 00:45:54,360
Speaker 1: dating today has been described as exhausting, as women online

918
00:45:54,480 --> 00:45:57,839
Speaker 1: lament the nightmares difficulties of trying to find a man

919
00:46:00,520 --> 00:46:01,759
Speaker 1: night marriage bro.

920
00:46:03,320 --> 00:46:06,080
Speaker 3: It's like Freddy Krueger up in my dms?

921
00:46:06,400 --> 00:46:09,680
Speaker 1: What the fuck is this? Like eighties rom com narrator

922
00:46:09,800 --> 00:46:13,200
Speaker 1: version of society. It's like Kathy's just a woman trying

923
00:46:13,200 --> 00:46:18,640
Speaker 1: to find a man. Yeah, Like the article mostly bashes

924
00:46:18,760 --> 00:46:21,200
Speaker 1: gen Z like sort of painting them. It's like just

925
00:46:21,239 --> 00:46:23,600
Speaker 1: super awkward and so online, Like they don't know how

926
00:46:23,600 --> 00:46:26,120
Speaker 1: to even talk to another person. And I get the

927
00:46:26,160 --> 00:46:29,480
Speaker 1: social anxiety part, like we even it's as millennials, we

928
00:46:29,560 --> 00:46:32,480
Speaker 1: also have that. Yeah, but like buried in this bullshit

929
00:46:32,719 --> 00:46:34,920
Speaker 1: is like a line about how younger people are opting

930
00:46:34,960 --> 00:46:37,759
Speaker 1: to try and just date in person since apps are

931
00:46:37,760 --> 00:46:40,680
Speaker 1: so shit, and that's I'm like, oh, there's there's the

932
00:46:40,760 --> 00:46:42,680
Speaker 1: nugget there that you want to kind of pull out

933
00:46:42,800 --> 00:46:44,839
Speaker 1: what they're doing, is there? It sounds like maybe they're

934
00:46:44,880 --> 00:46:48,640
Speaker 1: moving towards something a little less like koy and superficial.

935
00:46:48,719 --> 00:46:52,680
Speaker 3: Yeah, the author of this is mad that people don't

936
00:46:52,719 --> 00:46:55,640
Speaker 3: send dick pics anymore. Like that's what it sounds like.

937
00:46:55,719 --> 00:46:58,320
Speaker 3: It's like they haven't they've lost how to do the

938
00:46:58,440 --> 00:47:00,840
Speaker 3: art of flirting. AKA when I send a picture of

939
00:47:00,880 --> 00:47:03,480
Speaker 3: me touching my balls and I go, do you like?

940
00:47:04,120 --> 00:47:05,960
Speaker 3: And then they don't respawn.

941
00:47:05,960 --> 00:47:08,960
Speaker 1: And then like and then the local police constables knocking

942
00:47:08,960 --> 00:47:12,239
Speaker 1: on my door. I don't mind any of this, Like, yeah,

943
00:47:12,400 --> 00:47:14,560
Speaker 1: it's also just sort of like because I feel like

944
00:47:14,920 --> 00:47:18,439
Speaker 1: in the eighties and nineties, Like my brain was absolutely

945
00:47:18,480 --> 00:47:22,120
Speaker 1: poisoned by eighties and nineties media that did not actually

946
00:47:22,200 --> 00:47:25,160
Speaker 1: show how human beings interacted in a romantic capacity like

947
00:47:25,480 --> 00:47:28,799
Speaker 1: I was. I was truly like, bro, you will die

948
00:47:28,840 --> 00:47:31,040
Speaker 1: alone if you don't have the smooth pickup line. I

949
00:47:31,040 --> 00:47:34,040
Speaker 1: don't know how to. I remember being obsessed with fucking winking.

950
00:47:34,800 --> 00:47:36,719
Speaker 3: Yeah, yeah, yeah, you have to learn how to wink good.

951
00:47:37,200 --> 00:47:39,800
Speaker 2: Oh yeah, that was what was your smooth pickup line?

952
00:47:40,200 --> 00:47:42,480
Speaker 1: I didn't have one. I was so fucking I was

953
00:47:42,520 --> 00:47:45,279
Speaker 1: like at Luckily, by the time I got to like

954
00:47:45,360 --> 00:47:48,920
Speaker 1: high school, my whole thing was just being funny and outgoing,

955
00:47:49,239 --> 00:47:51,719
Speaker 1: and I realized that was like that'll that'll bring the

956
00:47:52,000 --> 00:47:54,160
Speaker 1: that'll bring the boys to the yard. As Calice said,

957
00:47:54,239 --> 00:47:56,799
Speaker 1: you know what I mean my sense of humor. But yeah,

958
00:47:56,840 --> 00:47:59,080
Speaker 1: I never I mean, like I would say stuff corny.

959
00:47:59,560 --> 00:48:02,240
Speaker 1: The one thing I did like in the digital phone

960
00:48:02,239 --> 00:48:05,200
Speaker 1: age is if I saw, like somebody I was attracted to,

961
00:48:05,280 --> 00:48:06,960
Speaker 1: like trying to take a photo, I'll be like, oh,

962
00:48:07,000 --> 00:48:08,279
Speaker 1: let me take a picture. Let me let me take

963
00:48:08,320 --> 00:48:09,920
Speaker 1: that picture for you, and then I will put it

964
00:48:09,960 --> 00:48:12,160
Speaker 1: on selfie mode and I would take a selfie of me.

965
00:48:12,960 --> 00:48:13,879
Speaker 1: I still do.

966
00:48:13,840 --> 00:48:19,680
Speaker 4: That I don't know if actually maybe I won't say

967
00:48:19,680 --> 00:48:22,759
Speaker 4: his name, but there's like a pretty famous, like celebrity

968
00:48:23,160 --> 00:48:25,880
Speaker 4: pundit man who I went saw at a conference and

969
00:48:25,960 --> 00:48:30,040
Speaker 4: I was celebrity.

970
00:48:30,440 --> 00:48:33,760
Speaker 3: He's giving you opinions away.

971
00:48:36,360 --> 00:48:39,080
Speaker 4: He's like, then, like he's roughly the same age as me,

972
00:48:39,120 --> 00:48:40,760
Speaker 4: and like we probably share friends.

973
00:48:40,760 --> 00:48:44,000
Speaker 2: He's like in the same social circles. But I was like, no,

974
00:48:44,600 --> 00:48:46,080
Speaker 2: you know, I had a couple of drinks, so I

975
00:48:46,160 --> 00:48:48,520
Speaker 2: wasn't my best self. And he gave me his phone

976
00:48:48,520 --> 00:48:49,879
Speaker 2: to take a picture of him and all of his mates,

977
00:48:49,880 --> 00:48:50,120
Speaker 2: and I.

978
00:48:50,080 --> 00:48:54,239
Speaker 4: Truly just took so many pictures of myself, and then

979
00:48:54,280 --> 00:48:55,560
Speaker 4: he gave it back to me to do it again

980
00:48:55,560 --> 00:48:57,120
Speaker 4: because he was annoyed, and then I did it again.

981
00:48:57,640 --> 00:49:00,399
Speaker 2: Oh yeah, yeah, I really really haven't grown up that.

982
00:49:02,040 --> 00:49:02,239
Speaker 1: Yeah.

983
00:49:02,440 --> 00:49:04,640
Speaker 3: Like at that point, it's not even flirting. It's just

984
00:49:04,800 --> 00:49:08,160
Speaker 3: it's just hilarious spite and inside yourself.

985
00:49:08,360 --> 00:49:11,480
Speaker 1: Ye hold it, you guys are nailing it. Keep doing that,

986
00:49:11,560 --> 00:49:14,520
Speaker 1: keep doing that, you keep your legging your lego uh.

987
00:49:15,440 --> 00:49:18,000
Speaker 3: Again, keeps giving it back to you, like do it better.

988
00:49:18,239 --> 00:49:20,520
Speaker 3: You're like, okay, now I'm just gonna tweet some ship.

989
00:49:21,800 --> 00:49:23,799
Speaker 1: The funny part is like even though I would do

990
00:49:23,840 --> 00:49:26,000
Speaker 1: ship like that, they would be like oh ha haha,

991
00:49:26,040 --> 00:49:28,560
Speaker 1: Like I had no way to transition from that. Yeah,

992
00:49:28,600 --> 00:49:30,880
Speaker 1: I'd be like, yeah, all right, I gotta go, and

993
00:49:30,920 --> 00:49:34,840
Speaker 1: I'm like, fuck, that was so fucking anxiety to do.

994
00:49:35,040 --> 00:49:37,759
Speaker 3: So I did step one, but I forgot there's more

995
00:49:37,800 --> 00:49:38,439
Speaker 3: steps after.

996
00:49:38,520 --> 00:49:40,560
Speaker 1: Yeah. I was just like, did that part be a

997
00:49:40,600 --> 00:49:44,200
Speaker 1: little be a little cutesy with him, the talking part,

998
00:49:44,680 --> 00:49:46,880
Speaker 1: because it was it looked like weird. I remember, like,

999
00:49:46,880 --> 00:49:49,080
Speaker 1: you can never be like I like you. They wouldn't

1000
00:49:49,080 --> 00:49:51,359
Speaker 1: even fucking murderer. Yeah, you know what I mean.

1001
00:49:52,239 --> 00:49:55,040
Speaker 5: And I get pretty happy that gen Z have killed

1002
00:49:55,080 --> 00:49:58,120
Speaker 5: flooding then, because all of this stuff just feels like harassment.

1003
00:49:58,480 --> 00:50:01,640
Speaker 5: It just feels like a waste of everyone's time. I'm

1004
00:50:01,760 --> 00:50:03,520
Speaker 5: very happy if I get a nice TM or a

1005
00:50:03,520 --> 00:50:05,239
Speaker 5: heart on something it can help us.

1006
00:50:05,280 --> 00:50:08,239
Speaker 1: I like that exactly. I think, like I said, kill

1007
00:50:08,280 --> 00:50:10,560
Speaker 1: flirting because I didn't know how to do it and

1008
00:50:10,560 --> 00:50:13,600
Speaker 1: he didn't do anything for fucking me. But after going

1009
00:50:13,640 --> 00:50:16,600
Speaker 1: to therapy, guess what, Voicing my needs and being straightforward

1010
00:50:16,640 --> 00:50:19,080
Speaker 1: with people actually has done a lot for me. And

1011
00:50:19,160 --> 00:50:21,879
Speaker 1: if that's how we communicate, that would actually I think

1012
00:50:21,880 --> 00:50:24,239
Speaker 1: it's better for us in the long run, rather than

1013
00:50:24,280 --> 00:50:26,360
Speaker 1: being so fucking coy. It's like exhausting.

1014
00:50:26,640 --> 00:50:28,520
Speaker 3: Yeah, you got to learn to flirt with yourself, you

1015
00:50:28,560 --> 00:50:29,040
Speaker 3: know what I mean?

1016
00:50:29,520 --> 00:50:30,279
Speaker 1: Thank you, dude.

1017
00:50:30,440 --> 00:50:34,040
Speaker 3: That's the most healthy way of doing it. I didn't

1018
00:50:34,080 --> 00:50:38,000
Speaker 3: have pickup lines growing up. I think I had a

1019
00:50:38,080 --> 00:50:41,920
Speaker 3: long obsession with I have to get a dog because

1020
00:50:42,760 --> 00:50:46,719
Speaker 3: someone years ago told me that's the best way to

1021
00:50:46,880 --> 00:50:52,279
Speaker 3: pick up chicks quote unquote. And then eventually I forgot

1022
00:50:52,560 --> 00:50:55,320
Speaker 3: that's why I wanted a dog, and I just became

1023
00:50:55,400 --> 00:50:57,080
Speaker 3: dog obsessed and I was like, I can't get a

1024
00:50:57,080 --> 00:50:58,120
Speaker 3: girlfriend until I get a dog.

1025
00:50:58,160 --> 00:50:59,640
Speaker 1: Then I was like, I just have to get a dog.

1026
00:50:59,680 --> 00:51:02,520
Speaker 3: Look, yeah, now I just love dogs.

1027
00:51:02,920 --> 00:51:05,880
Speaker 1: Do you have a dog? No? Oh man, I already

1028
00:51:05,920 --> 00:51:08,279
Speaker 1: have a wife, but you have family. So yeah, in

1029
00:51:08,320 --> 00:51:11,919
Speaker 1: a way, you made good. You made good. I made good.

1030
00:51:12,000 --> 00:51:14,480
Speaker 1: Yeah yeah, yeah, okay, amazing. All right, let's take a

1031
00:51:14,560 --> 00:51:18,200
Speaker 1: quick break. We'll come right back to discuss just the

1032
00:51:18,600 --> 00:51:22,080
Speaker 1: Reform Party in the UK. Just are they up to tricks?

1033
00:51:22,200 --> 00:51:23,960
Speaker 1: Are they not? I don't know, but it's a lot

1034
00:51:23,960 --> 00:51:25,759
Speaker 1: of weird shit and I want to talk about it

1035
00:51:25,800 --> 00:51:39,440
Speaker 1: with y'all after this and we're back and you know,

1036
00:51:39,520 --> 00:51:41,680
Speaker 1: while those of us here in the United States were

1037
00:51:42,239 --> 00:51:44,640
Speaker 1: just queuing up the burgers and dogs and you know,

1038
00:51:45,120 --> 00:51:49,440
Speaker 1: setting off Diablo fireworks that were basically military great explosives.

1039
00:51:49,760 --> 00:51:53,760
Speaker 1: Two big elections happened in Europe. In France, uh Marie

1040
00:51:53,800 --> 00:51:56,839
Speaker 1: la Penn dude, that far right National Rally Party came

1041
00:51:56,880 --> 00:52:01,960
Speaker 1: in third place. Oh and the looks on their faces,

1042
00:52:01,960 --> 00:52:05,560
Speaker 1: looking at like spank passes when they were like it

1043
00:52:05,640 --> 00:52:08,120
Speaker 1: was a while watching people process like the results, or

1044
00:52:08,120 --> 00:52:12,680
Speaker 1: they're like, wait, so worth, we're lave, We're last? Is

1045
00:52:12,719 --> 00:52:14,879
Speaker 1: there another? Is there oliby an update? And it looked

1046
00:52:14,920 --> 00:52:16,880
Speaker 1: like some people, some people had been in politics long

1047
00:52:16,960 --> 00:52:18,600
Speaker 1: enough you be like, all right, we're cooked. And other

1048
00:52:18,640 --> 00:52:21,000
Speaker 1: people were like is the I'm sorry, I'm new. I

1049
00:52:21,480 --> 00:52:26,200
Speaker 1: just I'm new to xenophobia. Can I speak? Yeah? No, no,

1050
00:52:26,280 --> 00:52:30,080
Speaker 1: get this off, change the channel, where's the right one?

1051
00:52:30,920 --> 00:52:35,000
Speaker 3: And then or whatever they say.

1052
00:52:35,840 --> 00:52:39,040
Speaker 1: But in the UK, the center left Labor Party toppled

1053
00:52:39,080 --> 00:52:42,200
Speaker 1: the Conservatives, the Tories who have been in power for

1054
00:52:42,239 --> 00:52:47,000
Speaker 1: fourteen years. But also it wasn't all good news. Uh.

1055
00:52:47,160 --> 00:52:51,400
Speaker 1: Nigel Farage's Reform UK Party won five seats in parliament,

1056
00:52:51,440 --> 00:52:54,600
Speaker 1: including one for Farage who this dude has been taking

1057
00:52:54,640 --> 00:52:56,640
Speaker 1: NonStop l's for a while, and I was like, he's not,

1058
00:52:56,880 --> 00:52:59,760
Speaker 1: Oh he's oh he got a seat, okay, oh okay,

1059
00:53:00,120 --> 00:53:03,200
Speaker 1: but yeah, they only had five seats, scored five seats. Again,

1060
00:53:03,280 --> 00:53:06,879
Speaker 1: apparently Reform garnered fourteen percent of the popular vote, which

1061
00:53:06,920 --> 00:53:12,680
Speaker 1: is that's that's too big. Yeah, But here's this is

1062
00:53:12,719 --> 00:53:15,160
Speaker 1: where things got like a little weird or interesting, right, So,

1063
00:53:16,120 --> 00:53:19,520
Speaker 1: like right after the election, people were asking, like, you know,

1064
00:53:19,560 --> 00:53:21,879
Speaker 1: the Reform UK party, like what's going on, Like, what's

1065
00:53:21,960 --> 00:53:23,759
Speaker 1: what's going on with like some of these candidates, Like

1066
00:53:23,840 --> 00:53:27,440
Speaker 1: are you running actual human beings? Like are these real people?

1067
00:53:27,920 --> 00:53:30,320
Speaker 1: Because some of the people on the on the website

1068
00:53:30,360 --> 00:53:33,840
Speaker 1: are just like names and like a constituency and not

1069
00:53:34,160 --> 00:53:37,680
Speaker 1: much else, no photos, no biographies or things like that.

1070
00:53:38,160 --> 00:53:41,160
Speaker 1: And you know, the Liberal Democrats then called on Reform

1071
00:53:41,280 --> 00:53:45,720
Speaker 1: to provide details about these mysterious candidates, and that's when

1072
00:53:45,960 --> 00:53:47,960
Speaker 1: they sort of conceded. Look like a lot of these

1073
00:53:48,000 --> 00:53:51,040
Speaker 1: were like what they call paper candidates to just help

1074
00:53:51,160 --> 00:53:53,880
Speaker 1: increase the party's vote share, so even if a candidate

1075
00:53:53,880 --> 00:53:56,640
Speaker 1: had no chance of winning, they still got some votes,

1076
00:53:56,880 --> 00:53:59,680
Speaker 1: boosting the overall popular vote and giving the party a

1077
00:53:59,800 --> 00:54:03,080
Speaker 1: cent of legitimacy, although a bit inflated.

1078
00:54:03,400 --> 00:54:05,919
Speaker 3: Can you explain what a paper candidate is? Though it's

1079
00:54:05,920 --> 00:54:07,680
Speaker 3: still a real person, right.

1080
00:54:08,120 --> 00:54:10,239
Speaker 5: It's there, a real person, but it's usually someone who's

1081
00:54:10,280 --> 00:54:11,800
Speaker 5: not based in that constituency.

1082
00:54:11,840 --> 00:54:12,359
Speaker 2: So they're just.

1083
00:54:12,400 --> 00:54:14,760
Speaker 5: They're from a different town completely, you have no connection

1084
00:54:14,800 --> 00:54:16,680
Speaker 5: to them, but they'll end up on your ballot paper.

1085
00:54:17,280 --> 00:54:17,840
Speaker 1: Wow.

1086
00:54:18,239 --> 00:54:20,640
Speaker 3: Then just do they know that they're running?

1087
00:54:22,480 --> 00:54:23,200
Speaker 2: They usually do.

1088
00:54:23,440 --> 00:54:25,200
Speaker 5: Yeah, I think they've got heads up that they're running.

1089
00:54:25,400 --> 00:54:27,600
Speaker 5: But people in that town have no idea who they are.

1090
00:54:27,960 --> 00:54:29,759
Speaker 5: They haven't seen them before, they don't turn up for

1091
00:54:29,880 --> 00:54:30,799
Speaker 5: debates and things like.

1092
00:54:30,760 --> 00:54:34,400
Speaker 1: That, right, and so, and they're allowed like I mean,

1093
00:54:34,440 --> 00:54:37,799
Speaker 1: they call them carpetbaggers in the US, and you're an

1094
00:54:37,840 --> 00:54:40,680
Speaker 1: out of town or running all of a sudden. But again,

1095
00:54:40,719 --> 00:54:42,319
Speaker 1: this is just merely for the thing of like, well,

1096
00:54:42,320 --> 00:54:44,680
Speaker 1: if we put somebody on the ballot from that party,

1097
00:54:44,719 --> 00:54:46,279
Speaker 1: we can get a little bit of votes, and then

1098
00:54:46,320 --> 00:54:48,719
Speaker 1: that helps overall to kind of be like, yeah, look,

1099
00:54:49,120 --> 00:54:53,600
Speaker 1: we're here, we're here. Yeah. So one of the concerns

1100
00:54:53,640 --> 00:54:55,840
Speaker 1: that people had this is where it gets so stupid

1101
00:54:55,880 --> 00:54:58,840
Speaker 1: and AI begins to intersect with all of this, is

1102
00:54:59,320 --> 00:55:01,839
Speaker 1: there was like one of the candidates. They're like, is

1103
00:55:01,920 --> 00:55:06,960
Speaker 1: this a real person or a photo? Mister Mark Mattlocke, Yeah,

1104
00:55:07,320 --> 00:55:09,400
Speaker 1: because not a real guy.

1105
00:55:09,640 --> 00:55:09,880
Speaker 5: I know.

1106
00:55:10,200 --> 00:55:13,160
Speaker 1: It seems like an AI generated conservative.

1107
00:55:14,200 --> 00:55:15,960
Speaker 3: AI generated attorney.

1108
00:55:16,480 --> 00:55:20,120
Speaker 1: Yeah this is Mark Spencer. You're like, hold on, dude,

1109
00:55:20,320 --> 00:55:25,319
Speaker 1: what do you do? But because the photos he didn't like,

1110
00:55:25,400 --> 00:55:27,560
Speaker 1: he didn't appear in person at the vote count on

1111
00:55:27,600 --> 00:55:32,080
Speaker 1: election night, possibly because maybe he's just a hallucination of AI.

1112
00:55:32,440 --> 00:55:35,040
Speaker 1: He looks like, I feel like one of William and

1113
00:55:35,120 --> 00:55:36,839
Speaker 1: Kate's children grown up.

1114
00:55:37,920 --> 00:55:39,399
Speaker 2: I was gonna say, it looks like the Milky bar

1115
00:55:39,480 --> 00:55:40,120
Speaker 2: kid grown up.

1116
00:55:40,640 --> 00:55:41,920
Speaker 1: Oh who's the milky bar kid?

1117
00:55:41,960 --> 00:55:43,359
Speaker 2: Now, maybe that's a British thing.

1118
00:55:43,440 --> 00:55:43,760
Speaker 1: Yeah.

1119
00:55:43,800 --> 00:55:46,239
Speaker 5: Yeah, it's a British candy bar. And it's like a

1120
00:55:46,239 --> 00:55:48,600
Speaker 5: little kid with blonde hair and glasses and blue eyes.

1121
00:55:48,719 --> 00:55:49,440
Speaker 1: Oh yeah yeah.

1122
00:55:49,560 --> 00:55:51,640
Speaker 3: Is it like a milky way or is just.

1123
00:55:51,680 --> 00:55:54,320
Speaker 5: Milky just milky? Yeah, it's just milky.

1124
00:55:54,400 --> 00:55:56,080
Speaker 2: Yeah.

1125
00:55:56,280 --> 00:55:58,440
Speaker 3: I gotta find this milklky bar.

1126
00:55:58,719 --> 00:55:59,160
Speaker 2: There we go.

1127
00:55:59,400 --> 00:56:03,120
Speaker 1: Get that's him, milky bar guy, all growns up and

1128
00:56:03,200 --> 00:56:07,200
Speaker 1: running for parliament. So the picture I like, even yeah,

1129
00:56:07,280 --> 00:56:09,880
Speaker 1: looking at it, you're like this like, he looks like

1130
00:56:09,920 --> 00:56:11,000
Speaker 1: he has rubber face.

1131
00:56:12,040 --> 00:56:13,879
Speaker 3: Is as like.

1132
00:56:13,880 --> 00:56:16,359
Speaker 2: A real Uncanny Valley appearance to.

1133
00:56:16,840 --> 00:56:21,040
Speaker 1: Yeah one hundred percent, and then Matt Locke responded by

1134
00:56:21,040 --> 00:56:23,200
Speaker 1: claiming that he wasn't at the vote count because he

1135
00:56:23,280 --> 00:56:25,400
Speaker 1: was at a hospital with pneumonia. This is what he

1136
00:56:25,480 --> 00:56:31,680
Speaker 1: posted on exactly, I had pneumonia in my human lungs,

1137
00:56:32,360 --> 00:56:34,200
Speaker 1: you know, so.

1138
00:56:34,680 --> 00:56:38,120
Speaker 3: Just side note, please don't be offended. But that's the

1139
00:56:38,239 --> 00:56:39,719
Speaker 3: only British accent I could do.

1140
00:56:45,280 --> 00:56:47,480
Speaker 1: It's you're like a You're like a guy who didn't

1141
00:56:47,480 --> 00:56:50,440
Speaker 1: get cast as an orc in Lord of the Rings. Like,

1142
00:56:50,680 --> 00:56:54,200
Speaker 1: I don't know that guy's doing too much for the

1143
00:56:54,760 --> 00:56:58,320
Speaker 1: boys all that. I think that's the one scene Americans

1144
00:56:58,360 --> 00:57:01,359
Speaker 1: really glom onto when the orcs are talking about not eating.

1145
00:57:01,400 --> 00:57:03,279
Speaker 3: Right because we all have meat and it's back on

1146
00:57:03,360 --> 00:57:03,720
Speaker 3: the menu.

1147
00:57:05,080 --> 00:57:07,560
Speaker 5: I said that quote every single day to really my

1148
00:57:07,560 --> 00:57:10,400
Speaker 5: favorite quot.

1149
00:57:09,600 --> 00:57:13,720
Speaker 1: Exactly everything to eat in, free, stink and die.

1150
00:57:19,480 --> 00:57:22,680
Speaker 5: It's all going, keep it going, accepted editions, Let's do it.

1151
00:57:23,200 --> 00:57:27,680
Speaker 1: You are not for eating about their legs? Are you

1152
00:57:28,040 --> 00:57:39,760
Speaker 1: fresh teeth? Oh my god? So Mark Mattlocke, the real guy.

1153
00:57:40,520 --> 00:57:43,560
Speaker 1: He clarified on Twitter what was going on quote. Unfortunately,

1154
00:57:43,600 --> 00:57:46,000
Speaker 1: I will not be attending the count tonight as I

1155
00:57:46,080 --> 00:57:49,880
Speaker 1: have pneumonia. The hospital I visited was closed before it's

1156
00:57:49,880 --> 00:57:52,560
Speaker 1: closing time. I said to the nurse on a buzzer,

1157
00:57:52,760 --> 00:57:56,040
Speaker 1: I am struggling to breathe, and she said, call a number,

1158
00:57:56,520 --> 00:58:02,920
Speaker 1: vote reform. This is madness. This is like a fake

1159
00:58:03,000 --> 00:58:06,240
Speaker 1: anecdote to just be like a last minute rally cry

1160
00:58:06,320 --> 00:58:08,520
Speaker 1: for votes. What can you break down for me? What

1161
00:58:08,720 --> 00:58:11,400
Speaker 1: the fuck? He was even trying to say here, I

1162
00:58:11,440 --> 00:58:16,000
Speaker 1: don't know that it is confusing to everyone.

1163
00:58:16,080 --> 00:58:19,880
Speaker 5: So the hospital was closed before he before he got there.

1164
00:58:20,160 --> 00:58:22,360
Speaker 1: That like a dig at the NHS or something.

1165
00:58:22,880 --> 00:58:26,600
Speaker 5: I think it's fat enough to say that, Yeah, I

1166
00:58:26,600 --> 00:58:27,240
Speaker 5: think he's.

1167
00:58:27,040 --> 00:58:29,440
Speaker 1: Gonna yeah, he.

1168
00:58:31,880 --> 00:58:32,439
Speaker 2: Is not real.

1169
00:58:33,440 --> 00:58:36,280
Speaker 3: It's very clear that this is someone who this is

1170
00:58:36,320 --> 00:58:40,280
Speaker 3: like an AI going what's the most like human disease

1171
00:58:40,640 --> 00:58:43,640
Speaker 3: I can have? And it's like, oh, pneumonia, because you

1172
00:58:43,680 --> 00:58:45,440
Speaker 3: need to breathe to have pneumonia.

1173
00:58:45,680 --> 00:58:47,800
Speaker 1: Well, like so what the other thing is interesting too,

1174
00:58:47,800 --> 00:58:50,560
Speaker 1: because like this felt felt like a very like gork

1175
00:58:50,680 --> 00:58:53,920
Speaker 1: or whatever. The fucking Twitter AI chat right right yes,

1176
00:58:54,040 --> 00:58:56,920
Speaker 1: where people like kept casting aspersions on whether or not

1177
00:58:56,960 --> 00:58:59,160
Speaker 1: he was real. He responded to one of the people

1178
00:58:59,200 --> 00:59:01,600
Speaker 1: on Twitter said, quote, keep smoking the crack pipe and

1179
00:59:01,640 --> 00:59:04,560
Speaker 1: wondering what sexuality you are, which feels like such a

1180
00:59:04,680 --> 00:59:09,919
Speaker 1: rock or gork fucking thing like Elon musk brained, like yeah, transphobic,

1181
00:59:10,360 --> 00:59:12,720
Speaker 1: fucking drug abuse or whatever the fuck.

1182
00:59:12,840 --> 00:59:16,440
Speaker 3: To be honest, this picture this candidate Mark Matlock. The

1183
00:59:16,480 --> 00:59:20,320
Speaker 3: picture looks kind of like an AI version.

1184
00:59:21,440 --> 00:59:25,439
Speaker 1: He doesn't have Elon's eyes yeah and jowls. Yeah. Well,

1185
00:59:25,600 --> 00:59:29,400
Speaker 1: he turns out, at least according to The Guardian, I guess, well,

1186
00:59:29,440 --> 00:59:31,120
Speaker 1: we'll believe what they have to say. It turns out

1187
00:59:32,120 --> 00:59:36,120
Speaker 1: he is a real person. But the photo was AI generated,

1188
00:59:36,160 --> 00:59:38,400
Speaker 1: he said, because according to him, he wanted a photo

1189
00:59:38,400 --> 00:59:40,960
Speaker 1: where he was wearing a light blue tie to reflect

1190
00:59:40,960 --> 00:59:44,040
Speaker 1: the party's color. But that's what potographer. Yeah, he couldn't

1191
00:59:44,080 --> 00:59:45,640
Speaker 1: get a photographer on time.

1192
00:59:46,160 --> 00:59:49,760
Speaker 3: Literally, his eyes are two different colors in this photo.

1193
00:59:50,200 --> 00:59:53,600
Speaker 1: Zoom in. Oh well yeah it is a gradient.

1194
00:59:54,160 --> 00:59:58,720
Speaker 2: Yeah, we see the color of his tie in the No.

1195
01:00:00,000 --> 01:00:02,560
Speaker 1: I feel a little bit of big everyone, you know,

1196
01:00:02,800 --> 01:00:06,800
Speaker 1: like he did his best. But I'm guessing in England

1197
01:00:06,800 --> 01:00:09,920
Speaker 1: it is accepted that Mark Mattlocke is in fact a person.

1198
01:00:10,040 --> 01:00:11,440
Speaker 1: We've we've closed that chapter.

1199
01:00:11,760 --> 01:00:13,800
Speaker 5: I mean, I think it raises some questions because I

1200
01:00:13,800 --> 01:00:16,040
Speaker 5: think there's a lot of reform candidates that people just

1201
01:00:16,120 --> 01:00:18,920
Speaker 5: didn't see or know about, and it's a bit worrying

1202
01:00:18,920 --> 01:00:20,160
Speaker 5: that they got as many votes.

1203
01:00:19,960 --> 01:00:20,520
Speaker 2: As they did.

1204
01:00:20,640 --> 01:00:23,240
Speaker 5: But I'm not convinced this guy is real. I'm not

1205
01:00:23,240 --> 01:00:24,320
Speaker 5: convinced any of them are real.

1206
01:00:24,600 --> 01:00:27,840
Speaker 3: Well, it kind of like begs a wider question, which

1207
01:00:27,880 --> 01:00:37,360
Speaker 3: is like our fascists human and to be honest, well tell.

1208
01:00:36,600 --> 01:00:44,080
Speaker 1: Oh, well we'll end it on that note. Holly Jesse,

1209
01:00:44,240 --> 01:00:46,640
Speaker 1: thank you so much for joining us on the Daily

1210
01:00:46,720 --> 01:00:50,160
Speaker 1: zite Geist. Where can the people find you? Follow you,

1211
01:00:50,280 --> 01:00:52,200
Speaker 1: listen to your wonderful podcast.

1212
01:00:52,880 --> 01:00:55,880
Speaker 5: They can find us on any podcast platform where everywhere

1213
01:00:55,880 --> 01:00:58,560
Speaker 5: at the moment. New episodes come out every Tuesday, and

1214
01:00:58,600 --> 01:01:00,520
Speaker 5: you can find us best on social media. I'm at

1215
01:01:00,600 --> 01:01:05,240
Speaker 5: Holly Cassio on most things, and Jesse, I'm at Jesse,

1216
01:01:05,640 --> 01:01:08,520
Speaker 5: j E s s E lou l o U Lawson.

1217
01:01:08,920 --> 01:01:10,640
Speaker 5: And just to say the name of a podcast again,

1218
01:01:10,880 --> 01:01:13,840
Speaker 5: it's long. It's because the bus belongs to us.

1219
01:01:14,080 --> 01:01:16,760
Speaker 1: Oh I may have not even said that fully at

1220
01:01:16,800 --> 01:01:19,200
Speaker 1: the top of the show, and I apologize, yes.

1221
01:01:21,200 --> 01:01:22,680
Speaker 2: You did, just because people.

1222
01:01:23,920 --> 01:01:27,200
Speaker 1: Sorry, it's it's been a long week. Just started exercising

1223
01:01:27,240 --> 01:01:30,240
Speaker 1: and it's taking up all my blood. Flow good for you.

1224
01:01:31,080 --> 01:01:34,760
Speaker 1: Is there a tweet that you all are liking, or

1225
01:01:34,840 --> 01:01:37,440
Speaker 1: another work of media, social or otherwise that you want

1226
01:01:37,480 --> 01:01:38,560
Speaker 1: to share with the class.

1227
01:01:39,120 --> 01:01:41,240
Speaker 5: I was actually going to say, I've really just been

1228
01:01:41,320 --> 01:01:45,120
Speaker 5: enjoying the videos of the right wing party in France losing.

1229
01:01:45,200 --> 01:01:47,800
Speaker 5: I've been watching that video every single day this week

1230
01:01:47,880 --> 01:01:49,480
Speaker 5: and it's just given me so much joy.

1231
01:01:49,640 --> 01:01:53,320
Speaker 1: Yeah, there's about like three different ones as I found, like,

1232
01:01:53,400 --> 01:01:55,040
Speaker 1: they're all they all have their.

1233
01:01:55,360 --> 01:01:57,240
Speaker 5: I'm watching a montage of all of them at the moment.

1234
01:01:57,240 --> 01:01:59,440
Speaker 5: It's on TikTok and I just it's just it's just

1235
01:01:59,520 --> 01:02:00,040
Speaker 5: so love.

1236
01:02:00,640 --> 01:02:06,280
Speaker 1: Watching the light go out of their little eyes. Ye's dolls, Jesse,

1237
01:02:06,360 --> 01:02:06,880
Speaker 1: how about you?

1238
01:02:07,520 --> 01:02:09,160
Speaker 2: Am I allowed to say a film? Does that count

1239
01:02:09,200 --> 01:02:10,000
Speaker 2: as absolutely?

1240
01:02:10,280 --> 01:02:10,920
Speaker 1: Absolutely?

1241
01:02:11,040 --> 01:02:13,000
Speaker 4: I was just gonna in just a slightly cheesy way

1242
01:02:13,000 --> 01:02:15,439
Speaker 4: because it was it's just finished being five months. There

1243
01:02:15,480 --> 01:02:17,600
Speaker 4: is a film about a bit of British history that's

1244
01:02:17,640 --> 01:02:20,480
Speaker 4: called The film is called Pride, and it's about lesbians

1245
01:02:20,480 --> 01:02:22,600
Speaker 4: and gay support the miners, which is an activist group

1246
01:02:22,600 --> 01:02:24,640
Speaker 4: that formed in the eighties. There was like a really

1247
01:02:24,680 --> 01:02:27,040
Speaker 4: long there's a year long miners strike in the nineteen

1248
01:02:27,080 --> 01:02:29,720
Speaker 4: eighties and yeah, this group of queer people from London

1249
01:02:29,720 --> 01:02:31,760
Speaker 4: were like, oh, like the same police, the same government,

1250
01:02:31,800 --> 01:02:35,160
Speaker 4: the same conservative attitudes are oppressing the miners as are

1251
01:02:35,320 --> 01:02:37,360
Speaker 4: pressing us. And they did this thing up Quis Solidarity

1252
01:02:37,400 --> 01:02:39,480
Speaker 4: where they raised money for this mining reviligi in Whales

1253
01:02:39,880 --> 01:02:41,720
Speaker 4: and if people, which it sounds like they are, are

1254
01:02:41,760 --> 01:02:45,320
Speaker 4: feeling depressed about politics and feeling powerless. It's a really

1255
01:02:45,400 --> 01:02:47,520
Speaker 4: nice film to watch to like give you hope.

1256
01:02:47,560 --> 01:02:49,640
Speaker 1: Basically I need some of that. Yeah, I mean, look

1257
01:02:50,600 --> 01:02:55,840
Speaker 1: we got us. That's the mantra basically till the very end.

1258
01:02:57,000 --> 01:02:59,440
Speaker 1: Matt again, thank you for joining me today. Where do

1259
01:02:59,480 --> 01:03:01,320
Speaker 1: the people find as you follow you, what's a tweet

1260
01:03:01,400 --> 01:03:03,400
Speaker 1: or other piece of media that you're vided with?

1261
01:03:03,920 --> 01:03:08,040
Speaker 3: Thanks for having me and you can follow me on

1262
01:03:08,120 --> 01:03:12,800
Speaker 3: Instagram at Matt Leave Jokes and listen to my podcast

1263
01:03:12,960 --> 01:03:16,760
Speaker 3: Bat Hasbara, the World's most moral podcast. It's about Israeli

1264
01:03:16,800 --> 01:03:21,600
Speaker 3: propaganda And a tweet that I've been loving is an

1265
01:03:21,640 --> 01:03:27,120
Speaker 3: image that Lauren Mackenzie at The Mackenzieist posted recently. It's

1266
01:03:27,160 --> 01:03:32,680
Speaker 3: the distracted boyfriend meme, but instead of the the boyfriend

1267
01:03:32,720 --> 01:03:37,040
Speaker 3: is a tongue next to him. His girlfriend is a vagina,

1268
01:03:37,600 --> 01:03:43,480
Speaker 3: but he's looking at a butthole that's walking. It's a

1269
01:03:43,520 --> 01:03:48,200
Speaker 3: beautiful drawing and I just, I don't know, just touched

1270
01:03:48,280 --> 01:03:49,240
Speaker 3: the spot in my.

1271
01:03:49,240 --> 01:03:51,120
Speaker 1: Heart like I thought it.

1272
01:03:52,120 --> 01:03:55,720
Speaker 3: It's just a very distracted boyfriend tongue looking at a buttons.

1273
01:03:56,120 --> 01:03:59,720
Speaker 1: Like that, And that's all I ever wanted. I'll ever

1274
01:03:59,800 --> 01:04:03,800
Speaker 1: need it. It's here in my arms, me me for real.

1275
01:04:04,600 --> 01:04:06,720
Speaker 1: Some tweets, I like, I don't know if y'all caught

1276
01:04:06,760 --> 01:04:12,120
Speaker 1: the fucking Miami vice discourse on Twitter. That's the whole thing.

1277
01:04:12,200 --> 01:04:16,840
Speaker 1: But someone just posted this like video on TikTok because

1278
01:04:16,880 --> 01:04:19,520
Speaker 1: someone was talking about the Michael Man Miami Vice video.

1279
01:04:19,560 --> 01:04:23,160
Speaker 1: Someone on TikTok posted this is from the TikTok user

1280
01:04:23,240 --> 01:04:25,640
Speaker 1: is at Cooper Flew the Coop and it says the

1281
01:04:25,760 --> 01:04:28,880
Speaker 1: masculine urge to look around stoically in a nightclub like

1282
01:04:28,920 --> 01:04:37,720
Speaker 1: you're in a Michael Man film, like I have fun.

1283
01:04:37,840 --> 01:04:39,439
Speaker 1: I neat fun right now.

1284
01:04:40,080 --> 01:04:42,000
Speaker 2: That is gen Z flirting right there.

1285
01:04:41,960 --> 01:04:46,080
Speaker 1: Yeah exactly. Sigma Ship hell yeah. And another two that

1286
01:04:46,240 --> 01:04:50,520
Speaker 1: like at alone in a boy band tweeted this fucking remix.

1287
01:04:50,560 --> 01:04:53,080
Speaker 1: It says not like Us by Kendrick Lamar, but it's

1288
01:04:53,200 --> 01:04:57,400
Speaker 1: goth and it's fucking where do we get the ship

1289
01:04:57,480 --> 01:05:01,840
Speaker 1: going to sale black one to them and then love

1290
01:05:02,360 --> 01:05:04,680
Speaker 1: just make sure you have a little sister from Oh

1291
01:05:04,720 --> 01:05:06,439
Speaker 1: my God, get.

1292
01:05:06,360 --> 01:05:12,000
Speaker 6: You honey down plan who Okay, y'all get get that

1293
01:05:12,080 --> 01:05:14,600
Speaker 6: ship in your fucking body too, because that shit fucking

1294
01:05:14,960 --> 01:05:17,120
Speaker 6: bags That is really cool.

1295
01:05:17,520 --> 01:05:21,680
Speaker 1: I gotta say that, that's a fucking perfect aesthetic. Anyway.

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Speaker 1: You can find me at Miles of Gray on Twitter

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Speaker 1: and Instagram. You can find Jack and I on our

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Speaker 1: basketball podcast Miles with Jack Coot Mad Boosties. You can

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Speaker 1: find me talking about ninety day Fiance on my other

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Speaker 1: show for twenty Day Fiance and yeah what I said. Oh.

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Speaker 1: Follow us at Daily Zeitgeist on Twitter, at the Daily

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01:05:36,600 --> 01:05:38,439
Speaker 1: zeit Geist on Instagram. We got a Facebook fan page

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01:05:38,440 --> 01:05:40,120
Speaker 1: on a website, daily zeit geys dot com. Whey post

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01:05:40,160 --> 01:05:44,600
Speaker 1: our episodes in our footnotes. You go where you can

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Speaker 1: find all the articles we talked about, links to the shows,

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Speaker 1: the podcast, and more most importantly, the song We're Gonna

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Speaker 1: Ride out on And I had a song I was singing,

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Speaker 1: but ever since I saw this sweet you just go

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Speaker 1: to at a loan in a boy band on Twitter.

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Speaker 1: We'll have the link in the footnotes, but this not like,

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Speaker 1: but goth just goes so fucking hard, so we will

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Speaker 1: put that there for y'all. Okay, that's gonna do it

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Speaker 1: for us. The Daily sit Gas is a production of

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Speaker 1: My Heart Radio. So for more podcasts from my Heart Radio,

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01:06:10,280 --> 01:06:13,640
Speaker 1: visit I Heart the Radio app. Yeah, that part an

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Speaker 1: Apple Podcasts wherever you find your other podcast for free.

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Speaker 1: All right, we'll be back later, tell you what's trending.

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Speaker 1: Until then, bye bye bye bye bye.