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Speaker 1: Wait, so you were saying you went to the jay

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Speaker 1: Z Museum.

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Speaker 2: So jay Z had this big exhibit at the Brooklyn

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Speaker 2: Museum where it was like all the efemera from his

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Speaker 2: life sort of on display, and it was incredible. There

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Speaker 2: was like a recreation of a studio where he recorded

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Speaker 2: some of his key albums, and like the master reel

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Speaker 2: tapes to some of his records, and like his notebooks

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Speaker 2: and all stuff.

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Speaker 1: And you know, all the stuff you want to see.

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Speaker 2: Yeah, I'm walking around sort of blown away by all

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Speaker 2: this stuff, like jackets he wore in high school and stuff.

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Speaker 2: And then he turned the corner in the middle of

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Speaker 2: one of the display rooms, in a glass case all

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Speaker 2: by itself sitting there is a two thousand and five

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Speaker 2: Webby Award for like some Webby. But he met the

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Speaker 2: Webby the little spring.

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Speaker 1: Because I have a Webby over my shoulder. Here it

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Speaker 1: had its own little display case.

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Speaker 2: It was so great.

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Speaker 1: Famously, I am not jay Z. I have fewer Grammys

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Speaker 1: than jay Z.

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Speaker 2: Those were there too, but those were grouped together. The

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Speaker 2: Webby got own protected Webby.

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Speaker 1: Do we think they like? Put it there sarcastically like, oh,

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Speaker 1: most important of all our Webby from two thousand and five,

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Speaker 1: when there were like three categories.

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Speaker 2: I don't think there's that level of self awareness around now,

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Speaker 2: kind of people who like tell the story of a

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Speaker 2: famous artist or right, and an award is an award,

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Speaker 2: like people.

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Speaker 1: People with the web and they're springy, they're spraying it,

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Speaker 1: which I've always.

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Speaker 2: Fall off the shelf. They'll just bounce right back on.

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Speaker 1: That's right, Hello the Internet, and welcome to season three

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Speaker 1: thirty eight, Episode four of der Dally's Like Geist. A

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Speaker 1: pretty wow no, no, yeah at all from our guest host.

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Speaker 1: I gotta say that was very.

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Speaker 2: Headphones off because we're screaming at a level that I

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Speaker 2: don't think I've heard you scream on this show.

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Speaker 1: Was that too loud?

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Speaker 2: It was so loud that Zoom did that thing where

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Speaker 2: it was like, I think we're just gonna shut.

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Speaker 1: It was like, you better get out of here. It's hiked.

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Speaker 1: I hiked for this morning. It's a production of iHeart Radio,

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Speaker 1: a podcast where we take a deep dive into America's

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Speaker 1: share consciousness. And it's Thursday, May sixteenth, twenty twenty four.

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Speaker 1: We're really not a podcast people can sleep too. I

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Speaker 1: guess it is like one of the things that I

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Speaker 1: that I've don't flatter yourself anything. They can fall asleep

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Speaker 1: to most anything. But I think I fuck it up

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Speaker 1: by screaming at the screaming. Yeah yeah, the screaming at

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Speaker 1: the beginning probably freaks them out a little bit.

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Speaker 2: The true sleepeadsday, just do the thirty thirty thirty forward and.

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Speaker 1: Yeah, yeah it is hard, and get past this and

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Speaker 1: now nice and sleepy. My name's Jack O'Brien aka, I

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Speaker 1: won't deny it. I'm a straight liar. It isn't water ice,

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Speaker 1: it's pee, or I should say it isn't water ice,

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Speaker 1: it's pee. That is courtesy of Lacaroni on the discord. Truly,

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Speaker 1: the Shakespeare of akas about the most specific thing the

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Speaker 1: The two minutes of my life when I wrote a

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Speaker 1: ride with my nephews came off. My pants were wet afterwards.

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Speaker 1: Nobody knows why. I think someone spilled a wood ice.

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Speaker 1: Many are saying someone's build a wood ice before I

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Speaker 1: got on there. Lac Roni has his theories, but that's

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Speaker 1: just like his opinion.

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Speaker 2: So when was the last time you actually seed your pants?

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Speaker 1: You know, I mean definitively like with Gusto.

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Speaker 2: No I'm just saying, like, you know this, this this incident,

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Speaker 2: you're describing the possible. Yeah, then when was the last

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Speaker 2: time you can clearly read your pants.

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Speaker 1: That I can clearly remember peeing my pants? I think

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Speaker 1: it was probably some years before that, And it was

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Speaker 1: probably when I, you know, I drank too much for

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Speaker 1: a long time. No, I don't drink anymore, so probably

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Speaker 1: somewhere in there. And I wasn't great, great at keeping

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Speaker 1: track of the specific the specifics at that time of

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Speaker 1: my life.

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Speaker 2: But I went this past weekend, I went to a

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Speaker 2: destination wedding, which was if I was doing an overrated today,

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Speaker 2: it might come up. But uh but uh, but I

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Speaker 2: was at the I was at this destination wedding and

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Speaker 2: like it was it was actually good. It's had a

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Speaker 2: resort where there's like tons just like swimming pools everywhere

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Speaker 2: in water parks and a ton of kids and like

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Speaker 2: free food and you know, first my daughter six the

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Speaker 2: other kids there were in that age range for kids.

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Speaker 1: It was like a destination heaven.

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Speaker 2: Yeah, but it was absolute having for those kids to

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Speaker 2: the level that and I won't name names, but I

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Speaker 2: think three different kids peed themselves at the like party

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Speaker 2: on Friday night at Guess because it was just so

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Speaker 2: you coward, swimming pools, free food, Shirley Temples. Kids were

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Speaker 2: going nuts and it was just like boom boom. Three

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Speaker 2: different kids independently peed themselves.

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Speaker 1: It was great. Oh yeah, I definitely peed my pants

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Speaker 1: a few times, like at school when I was super young. Yeah,

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Speaker 1: it's not great anyways. That voice you heard is our

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Speaker 1: guest co host podcaster Extraordinary you know from This Day

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Speaker 1: and Esoteric Political History thirty for thirty, the five thirty

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Speaker 1: eight politics podcast Going Way Back. He's the lead producer

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Speaker 1: on The Puzzler. It's Jody Abergode Thinkay, The Ballad of

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Speaker 1: Tom Jody Arion.

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Speaker 2: I like that one of my favorite books and my

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Speaker 2: favorite Bruce Springsteen songs, and they go very nice. Thanks

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Speaker 2: for having me. It's always fun to be here and

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Speaker 2: there you go, being a slightly different it's great tent. Yeah.

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Speaker 1: So you're setting me up to like talk about peeing

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Speaker 1: my pants as an adult, and then you had a

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Speaker 1: story about children peeing their pants. I just want to

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Speaker 1: make that clear.

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Speaker 2: Because certain activities belong to certain age groups, that's right.

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Speaker 1: Yeah, and that's fair, and I shouldn't be peeing my

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Speaker 1: pants as an adult, and I've changed, I've made changes

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Speaker 1: in my life so that I don't Yeah, so there, okay,

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Speaker 1: growth Jody, We are thrilled to be joined in our

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Speaker 1: third and fourth seats by the hosts of the very

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Speaker 1: fun true crime podcast Ridiculous Crime, part of the Ridiculous

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Speaker 1: History Universal Podcasts shows true crime and ninety nine percent

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Speaker 1: murder free. So, if you're like me and you're saying,

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Speaker 1: but what about my bloody murds, they managed to make

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Speaker 1: a really fun podcast without the bloody murd Please welcome

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Speaker 1: Zaron Burnette and Elizabeth do it? Yo's going on?

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Speaker 3: Guys?

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Speaker 1: Oh?

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Speaker 4: You know, just pselt it lose.

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Speaker 2: Wait, I have a question about the show, which I've

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Speaker 2: listened to and I love, and I thought it was

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Speaker 2: one hundred percent murder free. But does that mean that

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Speaker 2: every hundredth episode you just do one where you just

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Speaker 2: go right.

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Speaker 4: For we commit a murder right every episode? Yeah, you know,

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Speaker 4: we hold it in and then we can't anymore.

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Speaker 1: Yeah, just right, Jack, it's off for college. That's right,

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Speaker 1: that's right, all right, Sarah, Elizabeth, we're gonna get to

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Speaker 1: know you a little bit better in a moment. First,

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

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Speaker 1: we're talking about. We're gonna talk about.

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Speaker 5: The wweesque video dropped by Joe Biden just challenging Trump

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Speaker 5: to a debate with some very specific parameters. We'll talk

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Speaker 5: about the specific parameters. We'll talk about just the quality

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Speaker 5: of the video, how we're all feeling in general about

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Speaker 5: this election.

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Speaker 1: Good. I'm assuming we could just probably zoom past that

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Speaker 1: where the election is cool, everything's good. But we'll talk

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Speaker 1: about that. We'll talk about the fact that your car

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Speaker 1: is definitely spying on you. It's something we've touched on before,

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Speaker 1: but there's more reporting, more research into the fact that

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Speaker 1: cars are essentially like you know, when people are like

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Speaker 1: so if you don't know what the product is, like,

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Speaker 1: you are the product right like online, Like why do

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Speaker 1: they let us use social media for free? Why do

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Speaker 1: they let us do Google searches for free? And it's like, well,

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Speaker 1: they're you know, just creating a vast, permanent record, psychological

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Speaker 1: consumer profile of you. Cars are doing the same thing,

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Speaker 1: but they're not free. Yeah, it makes me so mad.

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Speaker 1: They're still charging us the same amount, if not more

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Speaker 1: than they were before, and they've like slowed down production. Anyways,

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Speaker 1: we're gonna talk about all the ways spying on you

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Speaker 1: and what they're doing with the information, all that plenty more.

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Speaker 1: But first, Zarin Elizabeth. We do like to ask our guests,

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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 you could also share something that

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Speaker 1: you recently screen kept.

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Speaker 3: Okay, well my search history. If you want something that's

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Speaker 3: revealing about me, I would say I was looking up

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Speaker 3: higher dimensional cubic equations that provide complex numbered values for zero.

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Speaker 3: But a more fun thing that I was looking up

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Speaker 3: was dread Zeppelin, the Zeppelin cover band with an l

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Speaker 3: This impersonator singing in Elvis Krooning style. I was explaining

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Speaker 3: it to somebody and I was like, all right, I

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Speaker 3: gotta go find out if they're still around. And then

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Speaker 3: I realized that that pretty much says a lot about

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Speaker 3: me that I'm the type of person wants to see

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Speaker 3: I dread Zeppelin is still around, Not then I go

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Speaker 3: see them. I just want to know that they're out there,

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Speaker 3: like Gwar, making the world a better place.

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Speaker 2: Wow, what's the dread dread Zeppelin for it?

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Speaker 3: Dread Zeppelin? So imagine led Zeppelin being played by a

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Speaker 3: cover band that's doing it as reggae tunes Sones that's

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Speaker 3: the dread and then the Zeppelin is the Zeppelin part.

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Speaker 3: And then the lead singer is an Elvis impersonator, so

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Speaker 3: he's doing on top of the reggae Zeppelin songs Robert

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Speaker 3: plant as a as an Elvis impersonator. Essentially, it's exactly

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Speaker 3: once you get to the third hat.

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Speaker 1: It's funny, exactly the hat on the hat.

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Speaker 3: You can't do that. Everybody knows that third hat.

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Speaker 2: There's so many bits that one of the bits doesn't

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Speaker 2: even make it into the main That's.

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Speaker 1: Like when you're going to a Zeppelin cover band that

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Speaker 1: is reggae based, like you're probably okay with showing up.

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Speaker 1: They're like, well, yeah, of course. Then there's an Elplis

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Speaker 1: you've opened comes my way. I'm fine with it, exactly.

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Speaker 3: Mostly high as hell. At that point, it's just like

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Speaker 3: this is all golden.

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Speaker 2: So are they still around and are they doing the

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Speaker 2: like old fogie band circuit tour where they're just playing

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Speaker 2: like hockey arenas in North Dakota.

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Speaker 3: Yes, and yes, so they are playing the hockey arenas

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Speaker 3: in Canada and they are just still around. But uh,

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Speaker 3: I was just you know, like you wonder about the uh,

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Speaker 3: the economy for these types of bands. I can, they

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Speaker 3: still make it, but they are the ones that make

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Speaker 3: it because they're a touring band and that's where you

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Speaker 3: make your money after you make your nuts a musicians.

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Speaker 3: So I was stoked for them because you know, we

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Speaker 3: need all the live music and all the silliness we

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Speaker 3: can get. So give me more dread Zeppelin in my life.

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Speaker 1: Yeah, I appreciate that. And the first thing that you said,

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Speaker 1: that jumble of words of course makes sense to me,

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Speaker 1: but might have think fusing to others. Yeah, like for

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Speaker 1: Jodie's sake. Yeah, are you really.

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Speaker 2: Just as you know? I can't follow?

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Speaker 1: Were you like a math major? Is this? No?

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Speaker 3: I hated math. I failed math. I was terrible at math.

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Speaker 3: Turns out, though it wasn't me, it was a math

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Speaker 3: teachers because once I found ways to find better math

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Speaker 3: teachers on YouTube, I love math. Turns out I'm a

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Speaker 3: huge math person. I just had really bad teachers originally. No,

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Speaker 3: you know, I'm not trying to put it all on them,

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Speaker 3: but they made it seem so boring. So, for lack

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Speaker 3: of a better word, just port prosaic I had no

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Speaker 3: reason to think the math was like illuminating the universe.

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Speaker 3: The math was showing me all these amazing things that like,

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Speaker 3: you know, how do I best put it? Symmetries? Right,

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Speaker 3: There was a beauty, there's an art. There is a

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Speaker 3: majesty to symmetries. You don't learn about symmetries. You don't

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Speaker 3: learn about things like the cubic equation till so far

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Speaker 3: on that you must really love math. But if we

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Speaker 3: explain these things to kids. We showed them how these

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Speaker 3: numbers worked as a system, and I found ways to

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Speaker 3: tell kids this stuff. And I'm like, man, not that

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Speaker 3: I want to be a math teacher. I'd be a

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Speaker 3: terrible math teacher, worse than the ones I had, But

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Speaker 3: I still think it would be great if we found

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Speaker 3: math teachers who could enlive in math the way that

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Speaker 3: they do it for things like you know, poetry or

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Speaker 3: photography or things where they go, this is about life. This,

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Speaker 3: you know, like, put the life in math. It's not

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Speaker 3: about numbers. And that's what I found is once you

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Speaker 3: go to physics, once you go to using it in science,

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Speaker 3: then the math comes alive. So just fuse them from

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Speaker 3: the start. Always use life examples instead of these abstractions

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Speaker 3: that most people turn off to.

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Speaker 1: My son is an eight year old who's a little

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Speaker 1: like math guy, Like he's really just naturally good at

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Speaker 1: math in a way that like I never was, and

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Speaker 1: I find it incredibly emasculating, and I just discourage it

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Speaker 1: at every turn. I don't know, but one of the

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Speaker 1: little real world math stories, because I'm not like I

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Speaker 1: can't do the math, but the story about Einstein figuring

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Speaker 1: out that the way the universe operates, like using math,

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Speaker 1: figured out like there's probably a black hole at the

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Speaker 1: center of this thing based on numbers only, and then

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Speaker 1: like decades later us finally getting the ability to like

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Speaker 1: see that far. To me, my god, damn. Yeah. So

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Speaker 1: I told that to my son and I think it

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Speaker 1: like translated to him. I think he like was impressed,

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Speaker 1: which is a lot you know, the batting average on

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Speaker 1: Like telling a story like that.

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Speaker 2: Your son was impressed with Einstein is what you're saying.

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Speaker 1: Yeah, my son was impressed with Einstein. But like also,

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Speaker 1: I like, I think my lack of faith was not

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Speaker 1: in like Einstein being impressed, but my ability to convey

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Speaker 1: that to an eight year old.

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Speaker 3: But he has like I think.

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Speaker 1: I kind of nailed it. He was like, damn, all right,

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Speaker 1: yeah yeah.

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Speaker 2: Wait and listeneth to asked your question about your show

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Speaker 2: and your search history. Do you research your show on

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Speaker 2: your regular browser or do you go? And I would

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Speaker 2: imagine it.

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Speaker 1: Just totally excws.

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Speaker 4: Oh completely.

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Speaker 2: The person on the internet thinks, yeah, we are also Instagram.

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Speaker 3: I mean I get the worst things like Instagram are

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Speaker 3: absolutely terrible because of the show. The things I get

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Speaker 3: for Getaway Drivers exactly a lot of lock picking.

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Speaker 1: Did you want to get into lock picking? Yeah right, Elizabeth?

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Speaker 1: How about you?

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Speaker 4: Well, Zaren's the smart one.

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Speaker 3: That's not true.

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Speaker 4: My search history right now is a lot aside from

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Speaker 4: you know, product mashups for the show and weird stuff.

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Speaker 4: I've been thinking about getting a dog. I'm a I'm

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Speaker 4: a dog person and I lost my dog last year,

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Speaker 4: and so I'm thinking, like, I think I'm emotionally ready,

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Speaker 4: but I feel creepy because I look through all the

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Speaker 4: rescue sites and I'm like, oh no, no, looking right right,

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Speaker 4: I'm so superficial, like that dog looks nuts, and so

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Speaker 4: I'm going through that. And my last screen cap was

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Speaker 4: a very boomeersque screen cap of a QR code to

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Speaker 4: take a survey about the peregrine falcons that live in

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Speaker 4: the camp in eli at u C Berkeley, which I'm

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Speaker 4: a little bit obsessed with. And they have like the

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Speaker 4: cal Berkeley falcons and you can watch them on the

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Speaker 4: live cam. And they just had four little babies and

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Speaker 4: they wanted to know what are your thoughts on falcons, Nerd,

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Speaker 4: And I was like, I'll tell you everything. So that's

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Speaker 4: what I've been up to.

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Speaker 1: You're gonna wish you never asked.

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Speaker 4: I got a lot to say. So, yeah, that's me.

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Speaker 1: I'm a bit of a fledgling bird person. Like getting

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Speaker 1: into it.

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Speaker 4: You're getting into I can't like spot them, although I

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Speaker 4: have that Merlin app on my phone and you just

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Speaker 4: like go out in the backyard and it starts racking

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Speaker 4: them up of everybody you got your Yeah, identifies them

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Speaker 4: by the call. That's pretty cool. It doesn't identify my

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Speaker 4: neighbor's rooster, but it is. Yeah, I'm old, but I

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Speaker 4: haven't hit like, oh I can spot a you know, tipmouse?

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Speaker 1: Old, I don't know. Yeah, So that the is called Merlin.

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Speaker 4: And yeah, yeah, it's it's Merlin and it's part of

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Speaker 4: some university I believe and yes, it's basically for birds.

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Speaker 1: It's just like the confidence of them to be like

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Speaker 1: this is like, yes, you've seen other cool apps, but

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Speaker 1: this one is the one that is basically going to

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Speaker 1: look like magic.

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Speaker 4: Get straight up magic.

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Speaker 1: And every time call it like burger b R d R.

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Speaker 4: You use it and you grow a long beard and

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Speaker 4: the robe emerges and like an orb of you know, lightning.

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Speaker 1: It's awesome, so awesome, amazing. What is something that you

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Speaker 1: guys think is underrated?

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Speaker 4: I think you know, last time we were on here

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Speaker 4: as Aaron was bagging on kids and so I want

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Speaker 4: to bring it back to I'm not.

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Speaker 3: Gonna yeah kids fine, and you know it.

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Speaker 4: Was just basically I hate kids, and so my underrated though?

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Speaker 4: Are magnet tiles? You guys got the kids. You're familiar

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Speaker 4: with magnet tiles?

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Speaker 1: Yeah, but oh, do not have a magnetic refrigerator? No?

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Speaker 2: No, No, like Legos incredible?

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Speaker 1: Yeah, yeah, okay, magnets we do have.

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Speaker 4: Yes, Yeah, I got a nephew. He's over at my

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Speaker 4: house every Saturday, and I now believe I have the

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Speaker 4: largest magnetile collection in North America. Wins and bins.

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Speaker 2: You bought ghost or he just has slowly been moving

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Speaker 2: it over to your house.

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Speaker 1: Oh no, I bought him.

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Speaker 4: And then every time we start building something, we go,

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Speaker 4: you know what, I bet we can hit the ceiling,

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Speaker 4: and then he and I he's four. We get on

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Speaker 4: Amazon and we find someone like, all right, it'll be

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Speaker 4: here for next week, and so we just keep building building,

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Speaker 4: And I think they're they're underrated because there's so much

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Speaker 4: to take with Zaren's physics talk. You really have to

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Speaker 4: think about balance and like you have to be very

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Speaker 4: creative in your thinking, and it's not completely structured, and

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Speaker 4: so I think they're underrated to way for kids.

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Speaker 1: Imagine, yeah there. It is so much easier to clean

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Speaker 1: up than legos. Oh yeah, less painful, yea less painful.

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Speaker 1: They're all like kind of one of like five shapes usually.

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Speaker 1: I mean that's that's a generalization. I don't want to

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Speaker 1: be unfair to magnetiles.

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Speaker 4: Do a lot of tesselating.

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Speaker 1: Yeah, it's not like legos is just such a mess. Yeah, magnetiles,

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Speaker 1: how long for the day of magnetiles?

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Speaker 4: That's my overrated is legos? Is there any reasons?

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Speaker 1: Yeah? Great, Yeah, that's been my overrated.

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Speaker 4: Basically, legos are for losers. I think here's my thing

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Speaker 4: with legos, it's very limiting. They heard when you step

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Speaker 4: on them. And then now I went to go get

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Speaker 4: legos and for the kid, and it's like so much

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Speaker 4: of them are pre set build this one specific thing

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Speaker 4: and it's really hard to find, just like the random Star.

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Speaker 2: Wars following when I build a giant parakeet or something.

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Speaker 3: Sure, but I have an accomplishment for the kid we're

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Speaker 3: talking about.

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Speaker 4: Yeah, I don't know. I don't like rules.

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Speaker 1: Them kids, Michael Jordan's kids, the kids. Everybody should google

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Speaker 1: Jordan some right, I only know that as a meme.

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Speaker 2: Is that actually what's the context for?

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Speaker 1: He was in a shooting contest, like in a like

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Speaker 1: at a basketball camp, and some other player was like, hey, man,

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Speaker 1: like you're supposed to let the whin. I think the kid. Yeah,

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Speaker 1: I think it's on video, But could you movement for

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Speaker 1: them kids? Yeah?

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Speaker 2: Basically, But I do like Elizabeth, how this nephew of

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Speaker 2: yours seems to be just like laundering all of his

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Speaker 2: toy request through you.

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Speaker 1: Completely is a safe house.

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Speaker 4: His father, my brother, was at the store trying to

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Speaker 4: get a birthday present for some other kids birthday party,

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Speaker 4: and he text me a picture which one should what

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Speaker 4: present should I get this kid? And it was like magnets,

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Speaker 4: not magnet tiles, but like a magnet kit or like

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Speaker 4: a headlamp. And I show my nephew, I'm like, dude,

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Speaker 4: which one should he get? He said, tell him to

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Speaker 4: get the headlamp and then you get me magnets. I

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Speaker 4: was like, all right, I am a sucker. I will

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Speaker 4: just give him everything. So yeah, I know, I.

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Speaker 2: Know, and then you each return them to the other

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Speaker 2: opposite store and.

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Speaker 4: Exactly.

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Speaker 1: The other thing with Legos is like they're so they

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Speaker 1: have such a monopoly across. Like so I got my

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Speaker 1: like it was recently my year old's birthday, and I

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Speaker 1: got him an action figure, just like an you know,

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Speaker 1: and he at first he was like, wait what I

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Speaker 1: don't I don't get it. Yeah, what do I do

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Speaker 1: with this? But now it's like his favorite toy because

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Speaker 1: it doesn't break into a hundred pieces when you drop it, right,

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Speaker 1: and you can, but like Legos are just so like

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Speaker 1: all their toys just dissolve into one hundred pieces when

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Speaker 1: you drop them, and they're like impossible to like store

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Speaker 1: anywhere whereas this you like put in a drawer and

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Speaker 1: then like pull it out. So yeah, it's just it's great. Yeah,

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Speaker 1: it's good that there's like an interactive toy that like

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Speaker 1: requires spatial reasoning and all that stuff. It is like,

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Speaker 1: I don't know, I feel like it's too much at

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Speaker 1: this point, like there's it's too And maybe that's just

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Speaker 1: in my household because my other son is like obsessed with.

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Speaker 4: Legos well, and they're everywhere. I don't trust Big Lego.

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Speaker 1: Yet, there's no way accompany that Big isn't like doing something.

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Speaker 4: Somehow, like there are no good billionaires, you know, I

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Speaker 4: don't trust them.

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Speaker 1: Every fifth Lego and like a set has a listening

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Speaker 1: device built.

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Speaker 2: Out, well, I mean it was weird, but like, yeah,

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Speaker 2: my daughter had one that was like build this eye

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Speaker 2: tracking device.

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Speaker 1: That's right, yeah, and then put it on your dadboard

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Speaker 1: on lunch. Let's take a quick break and then Zerom

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Speaker 1: will come back and talk about your underrated over.

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Speaker 6: It and we're back and Zaren, Yes, we would like

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Speaker 6: to ask you what's something you think is underrated at

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Speaker 6: overrated underrated delivery?

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Speaker 3: With that question, let me move my t cozy out

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Speaker 3: of the way so I can see my notes. Oh yes,

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Speaker 3: thank you letters. That's what I wanted to say was

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Speaker 3: undert underrated. Elizabeth does thank you letters all the time.

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Speaker 3: So I recently went out and I got myself my

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Speaker 3: own set of stationary thank you letters so that I

435
00:22:31,000 --> 00:22:32,880
Speaker 3: can start sending these out because when I was a kid,

436
00:22:32,880 --> 00:22:34,280
Speaker 3: I used to send them out all the time. My

437
00:22:34,320 --> 00:22:36,760
Speaker 3: mother made me, and people would always be very touched.

438
00:22:36,760 --> 00:22:39,760
Speaker 3: And then as an adult, especially as a young man,

439
00:22:40,200 --> 00:22:42,920
Speaker 3: you forget this. You're the worst to correspondence. You're like, ah,

440
00:22:42,960 --> 00:22:44,919
Speaker 3: they know, maybe you'll call them, maybe you'll text. But

441
00:22:44,960 --> 00:22:47,000
Speaker 3: a thank you letter really is such a sweet touch.

442
00:22:47,040 --> 00:22:48,720
Speaker 3: So now I'm getting back into it, and I got

443
00:22:48,760 --> 00:22:52,240
Speaker 3: to tell you it's like the littlest, tiniest but most

444
00:22:52,240 --> 00:22:55,240
Speaker 3: pleasurable delight, like making someone stoked on what they did.

445
00:22:55,400 --> 00:22:56,920
Speaker 3: You know. It's just kind of like it's like a

446
00:22:56,960 --> 00:22:59,159
Speaker 3: little mirroring back, like, Hey, that meant a lot to me,

447
00:22:59,200 --> 00:23:01,200
Speaker 3: and then all of a sudden, twice as much to them.

448
00:23:01,240 --> 00:23:03,879
Speaker 3: So it's like the only way to give back a gift,

449
00:23:03,880 --> 00:23:06,080
Speaker 3: you know, because if it's the thought that counts, this

450
00:23:06,119 --> 00:23:08,160
Speaker 3: is the thought you can return. So I'm all about

451
00:23:08,160 --> 00:23:08,800
Speaker 3: thank you letters.

452
00:23:09,520 --> 00:23:12,080
Speaker 2: Wow, And you're thanking people for.

453
00:23:12,480 --> 00:23:16,080
Speaker 3: Just things they've done gifts, Uh, you know if it's

454
00:23:16,119 --> 00:23:18,800
Speaker 3: an extra measure of effort that they put out, if

455
00:23:18,840 --> 00:23:21,880
Speaker 3: they do something like that, I'm really touched by send

456
00:23:21,880 --> 00:23:23,040
Speaker 3: a nice letter something like that.

457
00:23:23,760 --> 00:23:25,280
Speaker 2: So part of the premise here is that you have

458
00:23:25,320 --> 00:23:26,520
Speaker 2: to have people around you.

459
00:23:26,520 --> 00:23:28,879
Speaker 1: Who have friends.

460
00:23:29,119 --> 00:23:32,280
Speaker 4: Social circle helps friends, and they have to be insight.

461
00:23:32,400 --> 00:23:35,040
Speaker 2: I don't think you know the listeners of this podcast.

462
00:23:35,200 --> 00:23:37,160
Speaker 3: You can send them to your neighbors for just being

463
00:23:37,240 --> 00:23:39,280
Speaker 3: quiet one night, like, hey, thanks for not making a

464
00:23:39,280 --> 00:23:41,480
Speaker 3: lot of noise yesterday. Really appreciated that book.

465
00:23:42,080 --> 00:23:43,920
Speaker 2: But you have to get there. You have to get

466
00:23:43,920 --> 00:23:46,920
Speaker 2: their address, like is there an awkward light? I can't

467
00:23:46,920 --> 00:23:48,800
Speaker 2: tell you why, but tell me, give me just.

468
00:23:48,720 --> 00:23:50,800
Speaker 3: Give me your address. Yeah, that is a weird one.

469
00:23:50,840 --> 00:23:52,760
Speaker 3: These days, people are not used to that text out

470
00:23:52,800 --> 00:23:54,360
Speaker 3: of nowhere with the hey what's your address?

471
00:23:54,480 --> 00:23:55,280
Speaker 1: So that's a.

472
00:23:55,240 --> 00:23:57,760
Speaker 4: Great text to send and then not send a letter

473
00:23:59,080 --> 00:24:01,800
Speaker 4: like hey, what's your address? And they think like, oh,

474
00:24:02,200 --> 00:24:04,680
Speaker 4: I get some mail and then it never shows it.

475
00:24:04,600 --> 00:24:08,359
Speaker 1: Never shows Upis I feel like I've done that numerous times?

476
00:24:08,680 --> 00:24:11,760
Speaker 3: Start signing up for newsletters and stuff. Yeah, different book,

477
00:24:12,640 --> 00:24:13,280
Speaker 3: I will say.

478
00:24:13,680 --> 00:24:17,480
Speaker 2: For many years now I have done a like weekly

479
00:24:18,440 --> 00:24:23,119
Speaker 2: send two or more emails to people who have like

480
00:24:23,240 --> 00:24:26,760
Speaker 2: made something that I've loved, you know, written or like

481
00:24:26,840 --> 00:24:28,919
Speaker 2: a book or a piece of music or whatever, but

482
00:24:29,040 --> 00:24:31,399
Speaker 2: just like a note of gratitude and it is like

483
00:24:31,680 --> 00:24:35,600
Speaker 2: so rewarding to me, Like it's just it's just great

484
00:24:35,640 --> 00:24:38,600
Speaker 2: that I appreciate it. But it's just like it's incredible.

485
00:24:38,600 --> 00:24:38,800
Speaker 1: How.

486
00:24:39,240 --> 00:24:41,320
Speaker 4: Yeah, you read an article and then at the end

487
00:24:41,400 --> 00:24:43,359
Speaker 4: you're like, oh, it was so good. I immediately send

488
00:24:43,359 --> 00:24:45,800
Speaker 4: an email because I know what it's like to create

489
00:24:45,840 --> 00:24:47,960
Speaker 4: something or a book. You write it and you have

490
00:24:48,000 --> 00:24:50,080
Speaker 4: this echo chamber and have someone just say like it

491
00:24:50,119 --> 00:24:53,400
Speaker 4: made a big difference. I loved this part. Like I'm

492
00:24:53,440 --> 00:24:55,160
Speaker 4: with you on that. I think that's really important.

493
00:24:55,480 --> 00:24:58,200
Speaker 2: But this is next, the handwritten.

494
00:24:57,960 --> 00:25:00,880
Speaker 1: Ye, handwritten? There? Do you have good handwrit No?

495
00:25:00,960 --> 00:25:03,520
Speaker 3: I have terrible handwriting, but I can try really hard

496
00:25:03,560 --> 00:25:05,920
Speaker 3: to make it legible so it looks like an eighth

497
00:25:05,960 --> 00:25:07,440
Speaker 3: grade or no, like an eight year old.

498
00:25:07,560 --> 00:25:09,240
Speaker 2: And you also do the thing where you cut out

499
00:25:09,240 --> 00:25:11,480
Speaker 2: the letters so that people of course.

500
00:25:11,640 --> 00:25:13,199
Speaker 3: Otherwise how are they going to be like you know

501
00:25:13,359 --> 00:25:16,280
Speaker 3: all different? Fun's fun to read. It's just funny, and

502
00:25:16,720 --> 00:25:18,959
Speaker 3: plus by a magazine collection, that's only thing we can

503
00:25:18,960 --> 00:25:19,479
Speaker 3: get rid of it.

504
00:25:19,760 --> 00:25:25,360
Speaker 1: Yeah, you use creepy rhyming prose, and I.

505
00:25:25,320 --> 00:25:27,680
Speaker 3: Am pentameter and Victorian tenth.

506
00:25:27,800 --> 00:25:30,600
Speaker 4: It always starts out, this is the zodiac.

507
00:25:30,720 --> 00:25:33,720
Speaker 2: Exactly, and you do it for months and months and months,

508
00:25:33,760 --> 00:25:36,960
Speaker 2: and it's like all these cryptic clues and then and

509
00:25:36,960 --> 00:25:42,360
Speaker 2: then at the end it just says thank you for writing.

510
00:25:42,440 --> 00:25:42,880
Speaker 4: Very fun.

511
00:25:43,119 --> 00:25:45,280
Speaker 3: I said a lot of thank you letters to local newspapers.

512
00:25:46,080 --> 00:25:48,600
Speaker 1: They're yelling to the FBI, he's calling again. We've found

513
00:25:48,600 --> 00:25:51,240
Speaker 1: them all the lines for your final thing where you

514
00:25:51,320 --> 00:25:53,080
Speaker 1: revealed that you just wanted to thank them for it.

515
00:25:54,920 --> 00:25:56,719
Speaker 1: What is something you think is overrated?

516
00:25:57,119 --> 00:26:00,600
Speaker 3: Okay? Overrated? And I was listening to recent to this

517
00:26:02,000 --> 00:26:05,920
Speaker 3: radical black feminist professor. Her name is professor Loretta J.

518
00:26:06,200 --> 00:26:08,680
Speaker 3: Ross Right. She goes or she doesn't go to she's

519
00:26:08,720 --> 00:26:11,040
Speaker 3: a professor at Smith College and she lives in Atlanta.

520
00:26:11,040 --> 00:26:14,480
Speaker 3: And she was talking about calling people out and she

521
00:26:14,600 --> 00:26:15,840
Speaker 3: was like, you know, I'm against that, and I was like,

522
00:26:15,880 --> 00:26:17,400
Speaker 3: wait a minute, I don't know about this because I'm

523
00:26:17,400 --> 00:26:19,480
Speaker 3: a big believer in, like, you know, speaking truth to

524
00:26:19,520 --> 00:26:21,399
Speaker 3: power and stuff. And then she got me into the

525
00:26:21,440 --> 00:26:25,840
Speaker 3: idea of basically, don't call people out, call them in,

526
00:26:26,000 --> 00:26:28,800
Speaker 3: but still speak truth to power. So that means you're

527
00:26:28,800 --> 00:26:31,280
Speaker 3: gonna go out there, You're gonna call out public officials,

528
00:26:31,320 --> 00:26:33,800
Speaker 3: You're gonna call out powerful institutions, you're gonna hold but

529
00:26:33,840 --> 00:26:36,720
Speaker 3: you're gonna hold individuals accountable. So what that means is

530
00:26:36,920 --> 00:26:39,000
Speaker 3: to call people in means you like to say, you've

531
00:26:39,000 --> 00:26:41,280
Speaker 3: got an uncle who's like racist, and you're gonna see

532
00:26:41,320 --> 00:26:44,359
Speaker 3: him at Thanksgiving when he goes to say something racist,

533
00:26:44,400 --> 00:26:46,320
Speaker 3: you don't just let it go and you don't avoid him.

534
00:26:46,359 --> 00:26:47,840
Speaker 3: You said, you go, you know what, man, I know

535
00:26:47,960 --> 00:26:49,800
Speaker 3: you and I know how you are, and this doesn't

536
00:26:49,800 --> 00:26:52,040
Speaker 3: square at all with how I know you are. And

537
00:26:52,080 --> 00:26:54,920
Speaker 3: then you basically ask them to decide how they want

538
00:26:54,960 --> 00:26:56,720
Speaker 3: to be. And I was like so inspired by this.

539
00:26:56,800 --> 00:27:00,320
Speaker 3: So I think that basically calling out people is at

540
00:27:00,520 --> 00:27:03,840
Speaker 3: because it's like Sun Sue's idea of like destroying the village.

541
00:27:03,840 --> 00:27:05,840
Speaker 3: It leaves them nowhere to be. So you kind of

542
00:27:05,880 --> 00:27:07,600
Speaker 3: you know, basically, if you have Sun Sue in a

543
00:27:07,640 --> 00:27:10,160
Speaker 3: radical black feminist, agree and you're gonna get me to listen.

544
00:27:10,240 --> 00:27:10,400
Speaker 1: Right.

545
00:27:10,480 --> 00:27:14,040
Speaker 3: So my idea is that it's important to find a

546
00:27:14,080 --> 00:27:16,840
Speaker 3: way to call people in if you do care about

547
00:27:16,880 --> 00:27:19,240
Speaker 3: them or the issue you're arguing about, if it's something

548
00:27:19,280 --> 00:27:21,000
Speaker 3: that doesn't matter to you, find let them go whatever.

549
00:27:21,040 --> 00:27:22,800
Speaker 3: I'm not saying that, but if it does matter to you,

550
00:27:23,520 --> 00:27:25,600
Speaker 3: at least have the temerity to go and say I'm

551
00:27:25,600 --> 00:27:27,840
Speaker 3: gonna stand on business and I'm gonna say I respect

552
00:27:27,920 --> 00:27:30,520
Speaker 3: you as opposed to you're my enemy, so simply, especially

553
00:27:30,520 --> 00:27:32,800
Speaker 3: if it's somebody you know, that's my old thing. So

554
00:27:32,800 --> 00:27:34,920
Speaker 3: there you go. Calling people out I think is overrated.

555
00:27:35,160 --> 00:27:37,800
Speaker 3: It's a false sense of righteousness. I think calling people

556
00:27:37,840 --> 00:27:40,480
Speaker 3: in is much more. You're going to get what you want,

557
00:27:40,480 --> 00:27:43,120
Speaker 3: which is to change minds, to get to make your

558
00:27:43,200 --> 00:27:46,479
Speaker 3: view be a broader, more widely held view. And as

559
00:27:46,520 --> 00:27:48,480
Speaker 3: somebody who spends a lot of time arguing, I think

560
00:27:48,520 --> 00:27:51,680
Speaker 3: about this often, which is how ultimately, why are you arguing?

561
00:27:51,720 --> 00:27:53,359
Speaker 3: You want to change their mind, you want them to

562
00:27:53,520 --> 00:27:56,040
Speaker 3: find a better way. Otherwise, why waste your time? So

563
00:27:56,160 --> 00:27:58,080
Speaker 3: if you're gonna do it, do it well call them

564
00:27:58,080 --> 00:27:59,320
Speaker 3: in as opposed to calling them out.

565
00:28:00,119 --> 00:28:00,600
Speaker 1: I like it.

566
00:28:01,359 --> 00:28:03,760
Speaker 4: Well what happens if you're like, I know you're better

567
00:28:03,760 --> 00:28:05,040
Speaker 4: than that. I don't and they're like, no, on h

568
00:28:05,280 --> 00:28:06,480
Speaker 4: per this is I am.

569
00:28:06,440 --> 00:28:08,520
Speaker 1: Recently understood medical.

570
00:28:08,760 --> 00:28:10,679
Speaker 3: Then they've declared who they are, and you can then

571
00:28:10,720 --> 00:28:12,879
Speaker 3: act accordingly. You no longer have to do anything, but

572
00:28:12,880 --> 00:28:16,040
Speaker 3: you at least give them the chance to have that conversation.

573
00:28:16,119 --> 00:28:17,919
Speaker 3: If at the end of the conversation they're like, you

574
00:28:17,960 --> 00:28:20,040
Speaker 3: know what, screw you and everything you believe you don't

575
00:28:20,080 --> 00:28:21,639
Speaker 3: need to hang out with that person, but you at

576
00:28:21,720 --> 00:28:25,160
Speaker 3: least did honor the relationship and you honored your respect

577
00:28:25,200 --> 00:28:27,159
Speaker 3: for the issue, which is like, like, I'm going to

578
00:28:27,280 --> 00:28:29,000
Speaker 3: try to bring you around to what I think is

579
00:28:29,040 --> 00:28:30,960
Speaker 3: an important thing. If it's important to you and this

580
00:28:31,000 --> 00:28:33,000
Speaker 3: person's important to you, or you care about them in

581
00:28:33,040 --> 00:28:34,919
Speaker 3: the least, or even if you don't care about them,

582
00:28:34,960 --> 00:28:37,239
Speaker 3: you care about people who they affect, then go, hey,

583
00:28:37,240 --> 00:28:39,680
Speaker 3: I'm gonna at least, you know, say I think you

584
00:28:39,800 --> 00:28:42,000
Speaker 3: can be better than this, But don't make it like

585
00:28:42,160 --> 00:28:44,040
Speaker 3: you are better. It's like, we can all be better,

586
00:28:44,080 --> 00:28:45,760
Speaker 3: and this is how we do it. It's by constantly

587
00:28:45,840 --> 00:28:49,160
Speaker 3: challenging what beliefs and biases we hold. Because your thoughts

588
00:28:49,240 --> 00:28:52,760
Speaker 3: stem from your beliefs, not from your thoughts. So challenge

589
00:28:52,760 --> 00:28:54,760
Speaker 3: a person's beliefs. Don't listen to their thoughts. Those are

590
00:28:54,800 --> 00:28:58,440
Speaker 3: just it's like secondary, it's downstream effects. Go to the beginning,

591
00:28:58,480 --> 00:28:59,680
Speaker 3: Go to the mountaintop if you want to deal with

592
00:28:59,720 --> 00:29:00,480
Speaker 3: the stream.

593
00:29:00,560 --> 00:29:01,080
Speaker 6: M hmmm.

594
00:29:01,280 --> 00:29:05,200
Speaker 1: When I was in middle school in Dayton, Ohio, we

595
00:29:05,280 --> 00:29:07,520
Speaker 1: had the phrase calling someone out, and that was to

596
00:29:07,640 --> 00:29:13,000
Speaker 1: challenge someone to a fight. Yes, called him out, Rocky

597
00:29:13,080 --> 00:29:13,800
Speaker 1: called him out.

598
00:29:15,320 --> 00:29:16,720
Speaker 3: Did you ever get called out for a fight?

599
00:29:17,040 --> 00:29:20,680
Speaker 1: I did? Did you show up? I did show up

600
00:29:20,680 --> 00:29:25,800
Speaker 1: for the fight? And then you yeah, I did. So

601
00:29:25,840 --> 00:29:34,440
Speaker 1: it was like, uh no, but it was. It was funny,

602
00:29:34,480 --> 00:29:36,320
Speaker 1: Like there was this kid who I thought was my friend,

603
00:29:36,320 --> 00:29:40,240
Speaker 1: who like basically was the don King, who was like

604
00:29:41,320 --> 00:29:44,320
Speaker 1: getting this fight going like so because he was like

605
00:29:44,520 --> 00:29:46,040
Speaker 1: I think a lot of people would like to see

606
00:29:46,200 --> 00:29:50,360
Speaker 1: him get beat up. I didn't. Nobody got beat up.

607
00:29:50,480 --> 00:29:55,040
Speaker 1: But it was.

608
00:29:54,320 --> 00:29:57,760
Speaker 4: Basically just called him in at the end, exactly.

609
00:29:57,760 --> 00:29:59,880
Speaker 2: I just want to where you're coming from.

610
00:30:00,160 --> 00:30:05,800
Speaker 1: So this actually segues perfectly into our first story, which

611
00:30:05,880 --> 00:30:10,800
Speaker 1: is the actual President of the United States, Joe Biden,

612
00:30:11,080 --> 00:30:15,680
Speaker 1: basically calling Donald Trump out like in the middle school

613
00:30:15,720 --> 00:30:20,000
Speaker 1: way to two debates. There's a video that we would

614
00:30:20,040 --> 00:30:23,080
Speaker 1: play audio for if Miles was here. Oh, by the way,

615
00:30:23,120 --> 00:30:25,960
Speaker 1: I wanted to say on the subject of a handwritten letters,

616
00:30:26,000 --> 00:30:29,240
Speaker 1: Miles writes really great handwritten letters, and it has beautiful

617
00:30:29,240 --> 00:30:34,080
Speaker 1: handwriting on miles is a great proprietor of your underrated

618
00:30:34,240 --> 00:30:37,880
Speaker 1: But yeah, so, like is the video that I saw

619
00:30:38,040 --> 00:30:40,040
Speaker 1: that I think a lot of people saw where it's

620
00:30:40,320 --> 00:30:45,400
Speaker 1: Joe Biden going direct to camera WWE style and there's

621
00:30:45,520 --> 00:30:49,880
Speaker 1: like mid sentence like edits like a YouTube video, and

622
00:30:50,000 --> 00:30:53,239
Speaker 1: like there's like a punch in punch out and he

623
00:30:53,280 --> 00:30:57,480
Speaker 1: basically says he literally says, make my day pal. At

624
00:30:57,480 --> 00:30:58,320
Speaker 1: one point.

625
00:30:58,480 --> 00:30:59,480
Speaker 4: It's a grandpa fight.

626
00:31:00,040 --> 00:31:03,240
Speaker 1: I hear. I hear Donald Trump wants to debate me.

627
00:31:03,720 --> 00:31:06,760
Speaker 1: I beat him in two debates and I I haven't.

628
00:31:07,200 --> 00:31:09,800
Speaker 1: He hasn't debated me since. So you want to do

629
00:31:09,880 --> 00:31:13,360
Speaker 1: a debate, Donald, make my day pal? I hear your

630
00:31:13,400 --> 00:31:19,720
Speaker 1: free on Wednesdays sick burn. That is a pretty decent burn,

631
00:31:20,160 --> 00:31:23,000
Speaker 1: because this criminal trial is an in session that day

632
00:31:23,040 --> 00:31:28,920
Speaker 1: of each week. But it just feels very strange, like

633
00:31:29,000 --> 00:31:31,720
Speaker 1: we've entered. I mean, I've I get this feeling every

634
00:31:31,760 --> 00:31:35,400
Speaker 1: time Joe Biden like publishes a TikTok or you know,

635
00:31:35,480 --> 00:31:38,760
Speaker 1: the White House publishes a tictok TikTok on his behalf,

636
00:31:39,280 --> 00:31:41,640
Speaker 1: it just feels surreal.

637
00:31:41,960 --> 00:31:44,120
Speaker 3: Yeah, get off my lawn energy from him?

638
00:31:44,600 --> 00:31:49,520
Speaker 2: Yes, and and are you You're mostly reacting to the

639
00:31:49,640 --> 00:31:54,600
Speaker 2: kind of optics and theatric strategy, not the like actual

640
00:31:55,440 --> 00:31:58,120
Speaker 2: debate strategy too, which I think a lot of people

641
00:31:58,160 --> 00:32:00,600
Speaker 2: are talking about too, which is like who was most

642
00:32:00,880 --> 00:32:03,600
Speaker 2: you know, advantaged by actually debating and the timing and

643
00:32:03,600 --> 00:32:04,800
Speaker 2: the number of debates and so forth.

644
00:32:04,920 --> 00:32:07,280
Speaker 1: Yeah, yeah, I think most of us. I also want

645
00:32:07,320 --> 00:32:09,760
Speaker 1: to talk about that. Yeah, But just the very first

646
00:32:10,400 --> 00:32:13,880
Speaker 1: kind of interaction with the clip is that this feels weird.

647
00:32:14,000 --> 00:32:17,560
Speaker 1: It feels like politics has entered this news zone. I

648
00:32:17,600 --> 00:32:20,520
Speaker 1: don't know if it's politics writ large, like I don't think.

649
00:32:20,520 --> 00:32:23,400
Speaker 4: No, I think it is we've crossed the line, Like

650
00:32:23,720 --> 00:32:26,240
Speaker 4: you know, I just where we're headed. I got annoyed

651
00:32:26,240 --> 00:32:28,160
Speaker 4: for a long time with the like when they go low,

652
00:32:28,280 --> 00:32:30,160
Speaker 4: we go high, because it was just like we just

653
00:32:30,280 --> 00:32:33,600
Speaker 4: keep taking kicks to the teeth. Yeah, but now it's

654
00:32:33,680 --> 00:32:36,880
Speaker 4: just gone so like no one has any dignity anymore,

655
00:32:37,080 --> 00:32:40,360
Speaker 4: and so it's just like everyone will debase themselves and

656
00:32:40,400 --> 00:32:43,600
Speaker 4: it's this race to the bottom and it's so embarrassing,

657
00:32:43,720 --> 00:32:46,640
Speaker 4: Like I'm just so embarrassed by all of this. Yeah,

658
00:32:46,680 --> 00:32:49,440
Speaker 4: and it's I don't think we can come back from it.

659
00:32:49,560 --> 00:32:51,040
Speaker 3: The market based politics m.

660
00:32:51,560 --> 00:32:55,440
Speaker 2: I mean, yeah, look, I think it's clear and Trump

661
00:32:55,520 --> 00:32:59,800
Speaker 2: is largely both a reflection and I think genuinely responsible

662
00:32:59,800 --> 00:33:01,600
Speaker 2: for a lot of this over the last you know,

663
00:33:01,720 --> 00:33:04,959
Speaker 2: eight years or so. It is clear that like politics

664
00:33:04,960 --> 00:33:07,520
Speaker 2: and personality have merged, right, and what people are looking

665
00:33:07,560 --> 00:33:11,800
Speaker 2: for is like a charismatic leader, and I think, you know,

666
00:33:11,840 --> 00:33:14,840
Speaker 2: it started with Obamas, like I think an example of

667
00:33:14,840 --> 00:33:16,920
Speaker 2: this too, but you know, like mostly people are looking

668
00:33:16,960 --> 00:33:22,040
Speaker 2: for like an individual to sort of filter their thoughts

669
00:33:22,040 --> 00:33:25,400
Speaker 2: and aspirations and all that through and for better or worse.

670
00:33:25,400 --> 00:33:29,080
Speaker 2: Trump does that really effectively for people, And I think

671
00:33:29,120 --> 00:33:32,480
Speaker 2: Biden needs to do that, right, Biden needs to tell

672
00:33:32,520 --> 00:33:36,800
Speaker 2: a story that is centered on Joe Biden. But this

673
00:33:36,960 --> 00:33:39,160
Speaker 2: is not as far as I can tell it right,

674
00:33:39,280 --> 00:33:41,440
Speaker 2: Like I mean, trying to do trying to there's a

675
00:33:41,480 --> 00:33:44,479
Speaker 2: mistake there of trying to then thinking that and then say, oh,

676
00:33:44,600 --> 00:33:46,560
Speaker 2: that just means I need to play Trump's game and

677
00:33:46,600 --> 00:33:49,800
Speaker 2: debase myself, Whereas I think the real lesson is I

678
00:33:49,880 --> 00:33:52,920
Speaker 2: need to just present a cohesive and authentic story of

679
00:33:52,960 --> 00:33:56,080
Speaker 2: who I am and how people can find meaning in

680
00:33:56,640 --> 00:33:57,920
Speaker 2: what I want to do with this country.

681
00:33:57,920 --> 00:33:58,600
Speaker 1: And you know, in.

682
00:33:58,560 --> 00:34:01,440
Speaker 2: Whatever weird way, twenty twenty. I think he kind of

683
00:34:02,040 --> 00:34:04,880
Speaker 2: did that. I mean, it was a very weird year

684
00:34:04,960 --> 00:34:07,720
Speaker 2: and so any sense of normalcy, like I think people

685
00:34:07,760 --> 00:34:09,680
Speaker 2: were over correcting for it. But I do think he

686
00:34:09,760 --> 00:34:15,080
Speaker 2: did position himself as like, dignity still matters, steadiness still matters,

687
00:34:15,440 --> 00:34:21,000
Speaker 2: norms still matter, and this feels so against that, and

688
00:34:21,040 --> 00:34:22,799
Speaker 2: he just needs to pick who he wants to be

689
00:34:23,280 --> 00:34:25,880
Speaker 2: and then be that not And maybe that is a

690
00:34:25,880 --> 00:34:28,239
Speaker 2: little bit of like I'm not scared of this guy,

691
00:34:28,280 --> 00:34:30,120
Speaker 2: which I appreciate and I think is true, and I

692
00:34:30,120 --> 00:34:32,319
Speaker 2: think Joe Biden that is authentic Joe Biden, but doing

693
00:34:32,320 --> 00:34:35,080
Speaker 2: it in this particular way, Like I just don't see

694
00:34:35,120 --> 00:34:37,160
Speaker 2: him playing this mode that we saw in this video

695
00:34:37,200 --> 00:34:39,120
Speaker 2: for the next six months and having it feel like

696
00:34:39,200 --> 00:34:41,839
Speaker 2: something that people can really glom onto and.

697
00:34:41,760 --> 00:34:45,000
Speaker 3: Be like a new blend, don't you think that. Yeah,

698
00:34:45,120 --> 00:34:49,359
Speaker 3: Like there's there's the previous sunglasses cool Guy Biden. Then

699
00:34:49,360 --> 00:34:51,239
Speaker 3: there was like Dark Brandon, and this feels like e

700
00:34:51,320 --> 00:34:54,080
Speaker 3: merging or synthesis of those two, like Dark Brandon being

701
00:34:54,120 --> 00:34:57,120
Speaker 3: the internet avatar of Biden, and then you know, like

702
00:34:57,440 --> 00:34:59,839
Speaker 3: cool Guy Biden, like in the in the sports car

703
00:35:00,080 --> 00:35:02,839
Speaker 3: in driving around with sunglasses and lowering them. That's more

704
00:35:02,880 --> 00:35:06,560
Speaker 3: of his like you know, street performance of Biden, and

705
00:35:06,600 --> 00:35:09,360
Speaker 3: now he's trying to merge those into this like fighting Biden.

706
00:35:09,719 --> 00:35:11,719
Speaker 3: But I think that you're correct that he should just

707
00:35:11,760 --> 00:35:15,080
Speaker 3: be himself because and I think even the idea of

708
00:35:15,160 --> 00:35:18,880
Speaker 3: how we relate to politicians goes even further back to

709
00:35:19,200 --> 00:35:22,080
Speaker 3: JFK and the In the first the election, right, he

710
00:35:22,360 --> 00:35:24,680
Speaker 3: beats the Nixon because he looks cooler, right, and then

711
00:35:24,680 --> 00:35:26,840
Speaker 3: you see kind of like, you know, Nixon learns from that,

712
00:35:26,880 --> 00:35:29,279
Speaker 3: he figures out, I got my silent majority. Then you

713
00:35:29,320 --> 00:35:32,359
Speaker 3: get the next big evolution is Reagan or Reagan goes, Okay,

714
00:35:32,360 --> 00:35:34,279
Speaker 3: we're gonna take it from TV to movies. Now we're

715
00:35:34,280 --> 00:35:37,279
Speaker 3: gonna get into iconic. I am the cowboy, I am Americana,

716
00:35:37,600 --> 00:35:40,200
Speaker 3: I am the Western and people get they glom onto that.

717
00:35:40,560 --> 00:35:43,440
Speaker 3: Then you get another change with the handover to the boomers.

718
00:35:43,440 --> 00:35:45,520
Speaker 3: And then you get the Bill Clinton era of like, Okay,

719
00:35:45,760 --> 00:35:48,160
Speaker 3: we're gonna start doing this as like a continuation of

720
00:35:48,200 --> 00:35:50,560
Speaker 3: the revolution that we tried he wasn't a part of

721
00:35:50,800 --> 00:35:53,200
Speaker 3: to stop the Vietnam War and all this. We finally

722
00:35:53,200 --> 00:35:55,879
Speaker 3: got our chance. Don't stop believing, you know, and then

723
00:35:56,239 --> 00:35:58,360
Speaker 3: then they start doing this whole like, you know what,

724
00:35:58,600 --> 00:36:00,560
Speaker 3: breach of the twenty first century so they can start

725
00:36:00,560 --> 00:36:02,719
Speaker 3: talking about the future. That was the last time the

726
00:36:02,760 --> 00:36:05,920
Speaker 3: Democrats have talked meaningfully about the future. Was Bill Clinton

727
00:36:06,120 --> 00:36:08,319
Speaker 3: talking about the bridge to the twenty first century. We're

728
00:36:08,320 --> 00:36:10,360
Speaker 3: now a quarter of the way into the twenty first century.

729
00:36:10,480 --> 00:36:13,320
Speaker 3: What has anybody in the Democrats said about? Okay, here's

730
00:36:13,320 --> 00:36:16,280
Speaker 3: the big model, the big dreams. Here is the Great Society,

731
00:36:16,320 --> 00:36:18,239
Speaker 3: Here is the Square Deal, here's the New deal. Here

732
00:36:18,360 --> 00:36:20,439
Speaker 3: is the promise of how we're going to actually lead

733
00:36:20,480 --> 00:36:23,400
Speaker 3: as opposed to react and then try to signal and

734
00:36:23,800 --> 00:36:28,440
Speaker 3: send messages. It becomes such a media driven way for

735
00:36:28,520 --> 00:36:31,920
Speaker 3: politics to behave that they've actually forgotten not just the messaging,

736
00:36:32,000 --> 00:36:34,480
Speaker 3: but what is the message. What are you promising people?

737
00:36:34,520 --> 00:36:37,040
Speaker 3: And I think that people want something beyond rural broadband.

738
00:36:37,040 --> 00:36:38,520
Speaker 3: And I know Biden should get a lot more credit

739
00:36:38,520 --> 00:36:41,320
Speaker 3: for the infrastructure stuff, but that's essentially what that message

740
00:36:41,320 --> 00:36:44,680
Speaker 3: came down to. So dream big, Biden, And then I

741
00:36:44,680 --> 00:36:47,400
Speaker 3: think you can pull people into something other than your personality,

742
00:36:47,400 --> 00:36:49,400
Speaker 3: which I think is important, but your personality has to

743
00:36:49,440 --> 00:36:51,839
Speaker 3: then align to something that we can all say, oh,

744
00:36:51,920 --> 00:36:54,319
Speaker 3: this is we're going this direction otherwise it's just like

745
00:36:54,760 --> 00:36:56,399
Speaker 3: kind of like picking your favorite ice cream.

746
00:36:57,320 --> 00:36:59,880
Speaker 2: Yeah, I mean I think I disagree with you, and

747
00:37:00,239 --> 00:37:04,200
Speaker 2: I think that there are enough accomplishments and cohesive sort

748
00:37:04,239 --> 00:37:09,440
Speaker 2: of policy Biden publicly known, right and it just hasn't

749
00:37:09,440 --> 00:37:13,400
Speaker 2: come together. And I worry or I'm curious whether this

750
00:37:13,520 --> 00:37:15,480
Speaker 2: video and just in general, there's a sort of sense

751
00:37:15,520 --> 00:37:17,359
Speaker 2: of panic of life. I think, so, why is that

752
00:37:17,440 --> 00:37:20,480
Speaker 2: story not breaking through the sort of steady progress or thing,

753
00:37:20,600 --> 00:37:22,920
Speaker 2: And so now we're gonna we're gonna flail a little bit.

754
00:37:23,160 --> 00:37:25,200
Speaker 3: They aren't giving him credit for the economic package right

755
00:37:25,200 --> 00:37:27,160
Speaker 3: now or the economic picture. So like there's a lot

756
00:37:27,200 --> 00:37:30,960
Speaker 3: of disconnect between his real story and what people think

757
00:37:31,000 --> 00:37:33,560
Speaker 3: of him across It doesn't even matter which side of

758
00:37:33,600 --> 00:37:36,800
Speaker 3: the divide you go and ask them for their opinion,

759
00:37:36,800 --> 00:37:39,280
Speaker 3: They're going to say almost the same thing about Biden's performance,

760
00:37:39,280 --> 00:37:41,120
Speaker 3: which is a shame that you know, that's almost I

761
00:37:41,120 --> 00:37:43,040
Speaker 3: think less his fault and more of his the fault

762
00:37:43,040 --> 00:37:44,600
Speaker 3: of his surrogates. You know, you got to get out

763
00:37:44,640 --> 00:37:47,000
Speaker 3: there and be able to tell these stories in ways

764
00:37:47,000 --> 00:37:49,240
Speaker 3: that are compelling and simple and easy to remember.

765
00:37:49,680 --> 00:37:53,359
Speaker 1: Yeah, the reeks of like you know, all of the

766
00:37:53,400 --> 00:37:57,320
Speaker 1: people surrounding him like coming up with different strategies and stuff,

767
00:37:57,320 --> 00:38:01,960
Speaker 1: and it just feels a little inauthentic. It also feels

768
00:38:02,280 --> 00:38:06,960
Speaker 1: like it gives me anxiety. It just he totally generally

769
00:38:06,960 --> 00:38:09,719
Speaker 1: seems to have these moments of like high energy where

770
00:38:09,760 --> 00:38:14,320
Speaker 1: he like writes checks that then his mind and body

771
00:38:14,480 --> 00:38:19,279
Speaker 1: can't fully cash like that press conference, Like that's that's

772
00:38:19,320 --> 00:38:21,640
Speaker 1: what this made me worried about. It's like that press

773
00:38:21,680 --> 00:38:24,440
Speaker 1: conference where he was like, that's it, I'm going out there.

774
00:38:24,840 --> 00:38:27,359
Speaker 1: I'm gonna tell him what's what with old you know,

775
00:38:27,480 --> 00:38:32,759
Speaker 1: Joey b And he did fine for like twenty minutes,

776
00:38:32,800 --> 00:38:35,480
Speaker 1: and then someone like asked him a question as he

777
00:38:35,560 --> 00:38:37,440
Speaker 1: was leaving the stage, and he like came back and

778
00:38:37,480 --> 00:38:41,920
Speaker 1: really started like struggling. And it's We also have an

779
00:38:42,000 --> 00:38:45,279
Speaker 1: NBA podcast, and like something we've seen this year is

780
00:38:45,320 --> 00:38:48,560
Speaker 1: like some of the great players who are like you know,

781
00:38:48,960 --> 00:38:52,560
Speaker 1: getting older, and they'll have these games where they're like amazing,

782
00:38:53,040 --> 00:38:55,439
Speaker 1: but then they'll just have like three games where you're like, oh,

783
00:38:55,560 --> 00:38:57,960
Speaker 1: they're not there, you know, like.

784
00:38:57,960 --> 00:39:00,440
Speaker 3: They're just totally load management.

785
00:39:00,719 --> 00:39:03,920
Speaker 1: Right. Yeah, there's like they have these high high points,

786
00:39:04,239 --> 00:39:08,000
Speaker 1: but then they can't really, And I worry that this

787
00:39:08,120 --> 00:39:12,200
Speaker 1: is the case with Biden, Like you can't always flip

788
00:39:12,239 --> 00:39:15,920
Speaker 1: it on whenever you want to, right like and and

789
00:39:16,120 --> 00:39:17,960
Speaker 1: who who Kyle Lowry.

790
00:39:17,960 --> 00:39:19,640
Speaker 2: I'm trying to I'm just trying to imagine who these

791
00:39:19,640 --> 00:39:20,360
Speaker 2: players are that you.

792
00:39:20,360 --> 00:39:21,720
Speaker 1: Were referring Lebron.

793
00:39:22,239 --> 00:39:25,080
Speaker 2: Lebron still has its.

794
00:39:24,480 --> 00:39:29,120
Speaker 1: Great but he was not able to turn it on

795
00:39:29,640 --> 00:39:32,640
Speaker 1: up to the degree that he needed to. He was

796
00:39:32,680 --> 00:39:36,160
Speaker 1: still like, no, he's unprecedentedly great at a late state.

797
00:39:36,200 --> 00:39:39,920
Speaker 2: Sorry, no, no, no, no. But I had a question for

798
00:39:40,800 --> 00:39:43,200
Speaker 2: you know, all of you. But you know, I think

799
00:39:43,239 --> 00:39:45,879
Speaker 2: the big fear about basketball, about budgett The big fear

800
00:39:46,000 --> 00:39:49,680
Speaker 2: for I think Democrats and Biden's people probably is that

801
00:39:50,160 --> 00:39:52,480
Speaker 2: no matter what they do, no matter which version of

802
00:39:52,520 --> 00:39:54,879
Speaker 2: Biden they try and put out there, people are going

803
00:39:54,920 --> 00:39:57,160
Speaker 2: to have that their shoulders are going to get tense,

804
00:39:57,280 --> 00:39:59,000
Speaker 2: They're going to start to feel a little ichy. They're

805
00:39:59,040 --> 00:40:01,080
Speaker 2: just going to be like, oh, you know, no matter

806
00:40:01,120 --> 00:40:02,920
Speaker 2: what they do. And I'm curious if you think there

807
00:40:03,040 --> 00:40:06,759
Speaker 2: is a version of Biden that can go out there

808
00:40:06,800 --> 00:40:07,680
Speaker 2: and not elicit that.

809
00:40:07,760 --> 00:40:11,440
Speaker 4: Yet, I think that everyone just has this fear that,

810
00:40:12,680 --> 00:40:17,760
Speaker 4: for some reason, his flubs mean more than like flubbithon Trump,

811
00:40:17,960 --> 00:40:20,360
Speaker 4: like so you know, Trump can do all sorts of

812
00:40:20,440 --> 00:40:23,879
Speaker 4: crazy stuff and we expect it. And then so yeah,

813
00:40:23,920 --> 00:40:26,960
Speaker 4: we're all tense waiting for Biden to make some misstep

814
00:40:27,520 --> 00:40:30,279
Speaker 4: or you know, say something dumb, and well, I think

815
00:40:30,320 --> 00:40:33,160
Speaker 4: the whole thing is this completely devolved version of what

816
00:40:33,200 --> 00:40:36,879
Speaker 4: we want. My question to you, guys, is there any

817
00:40:36,920 --> 00:40:39,239
Speaker 4: part of you like me that would love to just

818
00:40:39,239 --> 00:40:40,479
Speaker 4: see them physically fight.

819
00:40:42,440 --> 00:40:44,640
Speaker 2: I mean, come on, I'll almost tried to do it

820
00:40:44,680 --> 00:40:48,280
Speaker 2: with Hillary at the debates.

821
00:40:48,400 --> 00:40:50,160
Speaker 4: If we were just like, you know what, you guys

822
00:40:50,200 --> 00:40:52,680
Speaker 4: want this, You want to be so crass and trashy.

823
00:40:53,080 --> 00:40:56,200
Speaker 4: All right, let's see it, like who I would love.

824
00:40:56,080 --> 00:40:59,040
Speaker 2: To set the tipers on and go for it exactly

825
00:40:59,320 --> 00:41:00,520
Speaker 2: exactly Octagon.

826
00:41:00,680 --> 00:41:04,440
Speaker 4: I mean, I'm pushing for Joe on that one. Yeah, crotchity,

827
00:41:04,440 --> 00:41:05,239
Speaker 4: old Irish dude.

828
00:41:05,280 --> 00:41:07,279
Speaker 3: Come on to the degree.

829
00:41:06,960 --> 00:41:09,799
Speaker 1: That like both of them would probably be dead by

830
00:41:09,800 --> 00:41:11,320
Speaker 1: the end of it completely.

831
00:41:11,360 --> 00:41:12,520
Speaker 4: And then maybe that's when I.

832
00:41:12,480 --> 00:41:13,839
Speaker 1: Get and then I do.

833
00:41:13,920 --> 00:41:16,440
Speaker 2: I will say, when Joe Biden falls, he just falls,

834
00:41:16,480 --> 00:41:19,480
Speaker 2: and when Donald Trump falls, he stumbles backwards for like

835
00:41:19,560 --> 00:41:22,840
Speaker 2: fifty sixty yards and then falls and then falls into it.

836
00:41:22,880 --> 00:41:23,359
Speaker 1: Like a cake.

837
00:41:24,280 --> 00:41:26,160
Speaker 4: He's like relying on the lips.

838
00:41:27,640 --> 00:41:29,840
Speaker 1: Crumples into just like a pile.

839
00:41:30,160 --> 00:41:33,840
Speaker 4: He just yeah, I always thought that in the beginning

840
00:41:33,880 --> 00:41:36,279
Speaker 4: of COVID they should have taken a note from the

841
00:41:36,280 --> 00:41:41,120
Speaker 4: World War Two playbook of like sacrifice. Yeah, is the

842
00:41:41,160 --> 00:41:43,400
Speaker 4: most patriotic thing you can do, Like you are a

843
00:41:43,440 --> 00:41:44,120
Speaker 4: patriot if.

844
00:41:44,040 --> 00:41:49,120
Speaker 1: You wear a mask, like Donald Trump was president, if

845
00:41:49,160 --> 00:41:59,879
Speaker 1: you just let us open up your lungs and.

846
00:41:55,360 --> 00:41:58,160
Speaker 4: We missed an opportunity to save a lot of people, well,

847
00:41:58,160 --> 00:42:00,880
Speaker 4: you know, and and change the atmosphere of the country

848
00:42:00,880 --> 00:42:02,799
Speaker 4: from like you know, this fear that we all had

849
00:42:02,840 --> 00:42:05,720
Speaker 4: to say, Look, we're against this sort of common enemy,

850
00:42:05,920 --> 00:42:08,640
Speaker 4: and you know we've done it before, we've rallied before,

851
00:42:08,760 --> 00:42:11,040
Speaker 4: we can win again, and you know that I'll go

852
00:42:11,200 --> 00:42:11,799
Speaker 4: blown to hell.

853
00:42:11,960 --> 00:42:14,640
Speaker 1: So yeah, that one video where he addressed the nation

854
00:42:14,719 --> 00:42:17,680
Speaker 1: at the beginning of COVID Trump and it ends with

855
00:42:17,800 --> 00:42:23,480
Speaker 1: him going, Okay, I feel that's what they need to

856
00:42:23,520 --> 00:42:27,120
Speaker 1: go back to. Is like this man was so overwhelmed

857
00:42:27,160 --> 00:42:31,000
Speaker 1: by this jobs, like y'all don't understand. He thinks, like,

858
00:42:31,080 --> 00:42:35,360
Speaker 1: speaking of movie iconography, he thinks that Hannibal Lecter is

859
00:42:35,400 --> 00:42:39,560
Speaker 1: a real historical figure who has died. Like it doesn't.

860
00:42:39,800 --> 00:42:42,719
Speaker 1: It's so confusing. What is possibly happening in his brain?

861
00:42:42,800 --> 00:42:44,080
Speaker 4: Well, you know, Gettysburg.

862
00:42:44,280 --> 00:42:49,400
Speaker 1: Wow, right, Gettysburg. Wow. It's great. So they are like,

863
00:42:49,760 --> 00:42:53,480
Speaker 1: somewhat surprisingly Biden is proposing and I think Trump accepted

864
00:42:53,520 --> 00:42:57,160
Speaker 1: that they completely sidestep the Commission on Presidential Debates, which

865
00:42:57,239 --> 00:42:59,520
Speaker 1: is seem like it's leading down a fight club direction.

866
00:43:00,040 --> 00:43:05,720
Speaker 1: Oh yeah, and it's also seems like it's designed to

867
00:43:05,760 --> 00:43:12,120
Speaker 1: freeze out any other independent or third party candidates with brainworms. Yes, So,

868
00:43:12,239 --> 00:43:14,160
Speaker 1: like I feel like this is one of those things

869
00:43:14,200 --> 00:43:16,920
Speaker 1: where it's like, in this case, yes, fine, thank you

870
00:43:16,960 --> 00:43:20,960
Speaker 1: for doing that. You know, Kennedy's pulling it sixteen percent

871
00:43:21,239 --> 00:43:24,040
Speaker 1: according to some sources, which is right on the verge

872
00:43:24,080 --> 00:43:27,080
Speaker 1: of the fifteen percent, a little bit over the fifteen

873
00:43:27,120 --> 00:43:29,800
Speaker 1: percent that would qualify him to share the debate stage,

874
00:43:30,400 --> 00:43:33,839
Speaker 1: and like, we don't want that as a like no

875
00:43:34,160 --> 00:43:39,120
Speaker 1: thinking society. On the other hand, like it feels like

876
00:43:39,160 --> 00:43:40,080
Speaker 1: a bad precedent.

877
00:43:40,400 --> 00:43:42,560
Speaker 3: Yeah, I'm with you, dude, Let brain worm go. You

878
00:43:42,640 --> 00:43:44,960
Speaker 3: up on the stage. If you can't beat brainworm, I mean,

879
00:43:45,000 --> 00:43:46,840
Speaker 3: come on, it's a debate stage. You need to be

880
00:43:46,880 --> 00:43:50,000
Speaker 3: able to have RFK there and use that to your benefit.

881
00:43:50,040 --> 00:43:52,719
Speaker 3: Align him with your opponent, do everything you can to

882
00:43:53,000 --> 00:43:54,920
Speaker 3: use that as a splinter. Don't be afraid of it,

883
00:43:54,960 --> 00:43:58,320
Speaker 3: because that shows to me it advertises fear. So be

884
00:43:58,680 --> 00:44:00,640
Speaker 3: excited that our fa is on there because it shows

885
00:44:00,640 --> 00:44:03,960
Speaker 3: that the populace is not necessarily for Trump. Use that

886
00:44:04,000 --> 00:44:04,720
Speaker 3: to your benefit.

887
00:44:05,320 --> 00:44:09,120
Speaker 1: I feel like also RFK becomes like just seeing him

888
00:44:09,239 --> 00:44:13,360
Speaker 1: in motion and like hearing him speak is less. Yes,

889
00:44:13,440 --> 00:44:15,360
Speaker 1: you know, I feel I feel like he gains a

890
00:44:15,400 --> 00:44:19,520
Speaker 1: lot from just people's associations and loses a lot from

891
00:44:19,520 --> 00:44:20,480
Speaker 1: seeing him in person.

892
00:44:21,440 --> 00:44:22,839
Speaker 2: Sure of all of them, but I mean, I do

893
00:44:22,880 --> 00:44:25,640
Speaker 2: think that there is a real argument for like Trump

894
00:44:25,640 --> 00:44:28,319
Speaker 2: on a debate stage just a freaking wild card, right,

895
00:44:29,560 --> 00:44:30,799
Speaker 2: And you know, I think, and I think people of

896
00:44:30,840 --> 00:44:35,720
Speaker 2: memory hold that in twenty sixteen, the debate really hurt Trump.

897
00:44:36,040 --> 00:44:38,440
Speaker 2: And maybe the story of twenty sixteen is that there

898
00:44:38,520 --> 00:44:41,120
Speaker 2: was too big of a gap between the last debate

899
00:44:41,160 --> 00:44:43,279
Speaker 2: and the actual election for Trump to just start to

900
00:44:43,560 --> 00:44:46,360
Speaker 2: people forget a little bit and started got a lot.

901
00:44:46,239 --> 00:44:48,640
Speaker 1: Going on, Jody, Now he's just going to be focusing

902
00:44:48,719 --> 00:44:51,319
Speaker 1: on this debate singularly, and.

903
00:44:52,400 --> 00:44:55,239
Speaker 4: Debate laser laser focus.

904
00:44:55,239 --> 00:44:57,120
Speaker 2: But now they're arguing, and I think as even as

905
00:44:57,120 --> 00:44:59,399
Speaker 2: we've been taping, they're now like going back and forth

906
00:44:59,440 --> 00:45:01,319
Speaker 2: with like a little do two, let's do three, let's

907
00:45:01,320 --> 00:45:02,440
Speaker 2: do them early, let's do them and.

908
00:45:02,680 --> 00:45:06,680
Speaker 1: The one now everyone out in court, Yeah, takes this

909
00:45:06,840 --> 00:45:07,399
Speaker 1: jacket out.

910
00:45:07,600 --> 00:45:11,879
Speaker 2: I do think in a weird way, both of them

911
00:45:12,200 --> 00:45:16,319
Speaker 2: are trying to weasel out of the debates, but for

912
00:45:16,360 --> 00:45:19,400
Speaker 2: different reasons, or like they they both they both I

913
00:45:19,440 --> 00:45:23,840
Speaker 2: think probably don't want to actually debate, but for different reasons.

914
00:45:23,880 --> 00:45:26,960
Speaker 2: And I think it's this weird now they have to

915
00:45:26,960 --> 00:45:30,040
Speaker 2: call each other out but also try and minimize it.

916
00:45:30,040 --> 00:45:31,680
Speaker 2: And so that's where you're getting into this weird like

917
00:45:31,680 --> 00:45:34,000
Speaker 2: we're going to do them early in the summer and

918
00:45:34,520 --> 00:45:37,160
Speaker 2: on like one network, and you know it's like debates.

919
00:45:37,400 --> 00:45:39,200
Speaker 2: I mean, on the one hand, they'll still go everywhere

920
00:45:39,200 --> 00:45:41,319
Speaker 2: because social media, but you know it's like if a

921
00:45:41,360 --> 00:45:42,680
Speaker 2: debate happens and no one really.

922
00:45:42,480 --> 00:45:45,760
Speaker 4: Watches it, and it's it's it's a network that Trump loaths,

923
00:45:46,320 --> 00:45:48,360
Speaker 4: so it gives him an out. As they get closer

924
00:45:48,400 --> 00:45:51,280
Speaker 4: to be like, oh, I can't trust them, They're slanted

925
00:45:51,320 --> 00:45:54,280
Speaker 4: against me. I don't want to participate. It's all rigged.

926
00:45:55,040 --> 00:45:59,480
Speaker 1: You The first one. Yeah, yeah, it just doesn't show.

927
00:46:00,680 --> 00:46:04,160
Speaker 4: Yeah, he's like, I stood you up. You're a loser exactly.

928
00:46:04,200 --> 00:46:05,880
Speaker 3: I think that'll be it. I stood you up. I

929
00:46:05,880 --> 00:46:06,920
Speaker 3: think that's gonna be the argument.

930
00:46:06,960 --> 00:46:08,880
Speaker 4: Look at how embarrassing you were.

931
00:46:10,000 --> 00:46:11,880
Speaker 2: There was a debate where they had an empty podium

932
00:46:11,880 --> 00:46:14,040
Speaker 2: for Trump right at the primary.

933
00:46:16,040 --> 00:46:19,120
Speaker 1: Yeah, all right, let's take a quick break. We'll come back.

934
00:46:19,320 --> 00:46:21,719
Speaker 1: We'll talk about our cars spying on us. We'll be

935
00:46:21,800 --> 00:46:38,359
Speaker 1: right back, and we're back. Hey, hey, alright, you have

936
00:46:38,400 --> 00:46:40,680
Speaker 1: to understand it's surprising to us because we go into

937
00:46:40,719 --> 00:46:42,080
Speaker 1: a black void during that head break.

938
00:46:42,239 --> 00:46:43,960
Speaker 2: Let's do a quick let's do a quick buddy check.

939
00:46:44,000 --> 00:46:47,120
Speaker 2: Make sure everyon's still here.

940
00:46:47,320 --> 00:46:53,600
Speaker 1: A former cocout buddy check. All right, So our cars

941
00:46:54,000 --> 00:47:00,880
Speaker 1: are basically devices for collecting data about us and Frank Yeah, yeah, so,

942
00:47:01,120 --> 00:47:05,960
Speaker 1: I mean, obviously, privacy major concern for anybody interacting with

943
00:47:06,040 --> 00:47:10,400
Speaker 1: tech companies, whether it be you know, those companies monitoring

944
00:47:10,440 --> 00:47:13,920
Speaker 1: your Internet history, government recording your cell phone calls. We

945
00:47:14,080 --> 00:47:17,200
Speaker 1: still have to worry about good old fashioned perverts in

946
00:47:17,239 --> 00:47:21,440
Speaker 1: our neighborhood. But the worst product for privacy is apparently

947
00:47:21,480 --> 00:47:26,400
Speaker 1: our car. Modern cars are what's being called a privacy nightmare.

948
00:47:27,000 --> 00:47:32,120
Speaker 1: While automakers are bragging that they're selling computers on wheels,

949
00:47:32,680 --> 00:47:37,919
Speaker 1: they basically allow car companies to just spy on us

950
00:47:37,960 --> 00:47:41,240
Speaker 1: with little to no oversight. A twenty twenty three study

951
00:47:41,280 --> 00:47:45,200
Speaker 1: conducted by Mozilla's Privacy Not Included project found that all

952
00:47:45,280 --> 00:47:48,520
Speaker 1: twenty five car brands that they examined flunked their tests,

953
00:47:48,680 --> 00:47:52,640
Speaker 1: making cars the quote worst category of products that they

954
00:47:52,840 --> 00:47:59,240
Speaker 1: ever reviewed. That's that's bad.

955
00:47:59,719 --> 00:47:59,919
Speaker 3: Yeah.

956
00:48:00,080 --> 00:48:05,520
Speaker 1: Recently manufactured cars have dozens of sensors, including microphones, cameras, microphones.

957
00:48:06,760 --> 00:48:09,080
Speaker 2: Can I please read the finished the sentence you're about

958
00:48:09,080 --> 00:48:09,680
Speaker 2: to read, because.

959
00:48:09,480 --> 00:48:11,319
Speaker 1: It's the best part of this Jody, take it away.

960
00:48:11,560 --> 00:48:15,600
Speaker 2: Dozens of sensors, including microphones and cameras that harvest personal information,

961
00:48:15,719 --> 00:48:19,880
Speaker 2: including your quote, race, weight, and sexual activity, which can

962
00:48:19,920 --> 00:48:22,520
Speaker 2: then be sold to third parties. Okay, your car is

963
00:48:22,560 --> 00:48:28,120
Speaker 2: reading your race, weight and sexual activity, race waight and

964
00:48:28,239 --> 00:48:30,439
Speaker 2: sexual activity in your car?

965
00:48:30,840 --> 00:48:32,719
Speaker 3: Is that through the camera the mics? Like which way

966
00:48:32,719 --> 00:48:34,000
Speaker 3: are they recording your sexual action?

967
00:48:35,160 --> 00:48:35,800
Speaker 1: Just car?

968
00:48:36,360 --> 00:48:38,680
Speaker 2: Just car sexual activity? Like we really need to know

969
00:48:38,680 --> 00:48:40,920
Speaker 2: how many people are fucking in this car exactly?

970
00:48:41,000 --> 00:48:43,839
Speaker 1: This is the great question, Like is it are they

971
00:48:43,960 --> 00:48:47,600
Speaker 1: just tracking where you're going? And they're like another booty call,

972
00:48:47,840 --> 00:48:51,439
Speaker 1: or like people jacking off in their car? Is it

973
00:48:51,800 --> 00:48:54,920
Speaker 1: people having sex in their car? Like is it the

974
00:48:55,080 --> 00:48:56,440
Speaker 1: seat sensor that? Like?

975
00:48:57,800 --> 00:49:00,919
Speaker 2: And now how is that information than being used?

976
00:49:00,920 --> 00:49:06,640
Speaker 1: How is that they're making better seats for sex? So yeah, yeah, no,

977
00:49:06,719 --> 00:49:11,319
Speaker 1: it might I think probably to advertise condoms. Well, you

978
00:49:11,400 --> 00:49:11,839
Speaker 1: get in the.

979
00:49:11,840 --> 00:49:13,400
Speaker 4: Car, like you give the car, you open it up,

980
00:49:13,440 --> 00:49:15,759
Speaker 4: and there's a pregnancy test sitting on the driver's seat.

981
00:49:15,760 --> 00:49:16,920
Speaker 4: You're like, oh god.

982
00:49:17,920 --> 00:49:20,360
Speaker 2: Yeah, it just immediately drives you to the O, B, G,

983
00:49:20,560 --> 00:49:20,799
Speaker 2: Y N.

984
00:49:21,600 --> 00:49:25,240
Speaker 4: Tracking everything, yeah, tracking your cycles, you know everything.

985
00:49:25,280 --> 00:49:27,120
Speaker 2: This is where, you know, with a lot of these

986
00:49:27,160 --> 00:49:30,399
Speaker 2: types of stories, I find both despair but a slight

987
00:49:30,480 --> 00:49:32,920
Speaker 2: little bit of hope, which is that like, I think

988
00:49:33,000 --> 00:49:34,840
Speaker 2: these these are not the sharpest folks in the in

989
00:49:34,880 --> 00:49:37,440
Speaker 2: the world, and and you know, their main strategy is

990
00:49:37,680 --> 00:49:40,680
Speaker 2: let's just hoover up as much information as possible everything,

991
00:49:40,800 --> 00:49:43,120
Speaker 2: and you know, but then what are they actually going

992
00:49:44,000 --> 00:49:45,759
Speaker 2: to do with them? And it's kind of like, and

993
00:49:45,800 --> 00:49:47,600
Speaker 2: I know, this is a ridicuous analogy, and this this

994
00:49:47,760 --> 00:49:49,279
Speaker 2: organization did a ton of harm, but it's kind of

995
00:49:49,280 --> 00:49:51,440
Speaker 2: like the CIA after the Cold War went into this

996
00:49:51,520 --> 00:49:52,160
Speaker 2: motor like.

997
00:49:52,200 --> 00:49:55,080
Speaker 1: We're gonna spy on everyone everything. We're gonna run. We're

998
00:49:55,080 --> 00:49:55,480
Speaker 1: gonna run.

999
00:49:55,960 --> 00:49:58,280
Speaker 2: We're gonna find out what happens when you take mushrooms

1000
00:49:58,360 --> 00:49:59,880
Speaker 2: when you're a cat and you take mushrooms in a

1001
00:50:00,160 --> 00:50:00,799
Speaker 2: in air below.

1002
00:50:01,360 --> 00:50:04,359
Speaker 1: We need to know that we're right.

1003
00:50:04,400 --> 00:50:07,080
Speaker 4: But they create this giant bank and they've got they

1004
00:50:07,120 --> 00:50:09,799
Speaker 4: just keep generating it and then you disaggregate it as

1005
00:50:09,840 --> 00:50:11,920
Speaker 4: each business comes to you and it's like, all right,

1006
00:50:11,960 --> 00:50:14,600
Speaker 4: here's exactly what I need, and then they can pull

1007
00:50:14,600 --> 00:50:17,279
Speaker 4: them up for them. So it's got I'm living this,

1008
00:50:17,440 --> 00:50:20,880
Speaker 4: by the way, you guys, I I'm not the sexual

1009
00:50:20,880 --> 00:50:23,839
Speaker 4: activity in the I got a Subaru not too long

1010
00:50:23,880 --> 00:50:26,080
Speaker 4: ago because I live in the Bay Area, and then

1011
00:50:26,120 --> 00:50:28,560
Speaker 4: as an aging punk that is apparently our new vehicle.

1012
00:50:30,040 --> 00:50:33,040
Speaker 4: And well I had to prove how many Decembers albums

1013
00:50:33,040 --> 00:50:34,920
Speaker 4: do you own? I was like three, like okay, yeah, yeah, here.

1014
00:50:36,600 --> 00:50:38,800
Speaker 2: Podcast and then oh yeah that was already.

1015
00:50:38,840 --> 00:50:41,480
Speaker 4: That's why that's why I got the upgrade the leather seats.

1016
00:50:41,520 --> 00:50:44,520
Speaker 4: So anyway, I get this car. If if I run

1017
00:50:44,520 --> 00:50:47,279
Speaker 4: out of wiper fluid, I get texts from the car

1018
00:50:47,400 --> 00:50:49,600
Speaker 4: like hey, hey, you're out a wiper.

1019
00:50:49,360 --> 00:50:52,839
Speaker 3: Fluid from your cart message, and then.

1020
00:50:52,719 --> 00:50:55,400
Speaker 4: I'll get like from the Subaru app the bit and

1021
00:50:55,440 --> 00:50:57,960
Speaker 4: then it gets like a little more urgent. It's like, look, bitch,

1022
00:50:58,640 --> 00:50:59,919
Speaker 4: take care of your car.

1023
00:51:00,080 --> 00:51:03,840
Speaker 1: I don't have to see can you see.

1024
00:51:03,680 --> 00:51:06,400
Speaker 4: Out of the windshield? Like pretty soon they're going to

1025
00:51:06,480 --> 00:51:09,200
Speaker 4: disable it like you're filthy, And it's like okay, okay,

1026
00:51:09,360 --> 00:51:11,319
Speaker 4: and then I just have to begrudgingly go to like

1027
00:51:11,440 --> 00:51:13,799
Speaker 4: O'Reilly's and get wipe or fluid put in. Then I

1028
00:51:13,840 --> 00:51:16,879
Speaker 4: was like slamming, are you happy now? Will you leave

1029
00:51:16,920 --> 00:51:17,360
Speaker 4: me alone?

1030
00:51:17,440 --> 00:51:22,920
Speaker 1: Starts quietly the auto parts.

1031
00:51:23,280 --> 00:51:24,480
Speaker 4: Yeah, that's what happens to me.

1032
00:51:24,560 --> 00:51:25,439
Speaker 1: Throw it there.

1033
00:51:25,560 --> 00:51:28,520
Speaker 4: So I'm living this nightmare, and god knows what else

1034
00:51:28,520 --> 00:51:30,680
Speaker 4: you're like, you know, she goes to the market a lot.

1035
00:51:30,840 --> 00:51:34,080
Speaker 3: You're now in a dysfunctional relationship with your super Yeah.

1036
00:51:35,239 --> 00:51:38,160
Speaker 4: In my life, I go around and I just gathered

1037
00:51:38,200 --> 00:51:41,799
Speaker 4: dysfunctional relationships. That's how I operate. So the car makes sense.

1038
00:51:42,400 --> 00:51:47,000
Speaker 1: Yeah, so nobody knows exactly how that data is being gathered.

1039
00:51:47,719 --> 00:51:50,440
Speaker 1: Just that like Nissan, for instance, is I think the

1040
00:51:50,440 --> 00:51:53,080
Speaker 1: worst defender on the report. They reserve the right to

1041
00:51:53,200 --> 00:51:59,720
Speaker 1: share and sell preferences. Characteristics, psychological trends, predispositions, behavior, attitudes, intelligence.

1042
00:52:00,480 --> 00:52:04,000
Speaker 1: This means a real dipshit. What if your car bought

1043
00:52:04,040 --> 00:52:10,759
Speaker 1: a Nissan the zoom zoom thing working on him?

1044
00:52:11,960 --> 00:52:15,000
Speaker 4: Is that something they did duck points when you're like

1045
00:52:15,040 --> 00:52:16,839
Speaker 4: trying to pull into a parking lot and you hit

1046
00:52:16,880 --> 00:52:17,280
Speaker 4: the curve.

1047
00:52:17,800 --> 00:52:21,120
Speaker 1: Yeah, Abilities and aptitude No, So this is where it's

1048
00:52:21,200 --> 00:52:25,200
Speaker 1: actually like the thing that you described. I'm like I

1049
00:52:25,320 --> 00:52:27,800
Speaker 1: kind of would take that like that's cool, Like I

1050
00:52:27,840 --> 00:52:31,160
Speaker 1: would take a text message being like, hey, you usually

1051
00:52:31,200 --> 00:52:35,760
Speaker 1: miss your oil change oil check by twenty thousand miles.

1052
00:52:37,160 --> 00:52:40,320
Speaker 1: We're just adding this extra service. We're just going to

1053
00:52:40,360 --> 00:52:42,719
Speaker 1: send you a text message letting you know, like you

1054
00:52:42,760 --> 00:52:45,320
Speaker 1: need to do this, and we'll text you every week

1055
00:52:45,560 --> 00:52:47,640
Speaker 1: just to remind you until you fucking do it.

1056
00:52:47,880 --> 00:52:50,960
Speaker 4: Yeah. Well, I want it to be like, uh ps,

1057
00:52:51,120 --> 00:52:53,560
Speaker 4: your passenger left fries in the seat of the car

1058
00:52:53,640 --> 00:52:54,080
Speaker 4: last night.

1059
00:52:54,160 --> 00:52:55,200
Speaker 1: Oh my god, horrible.

1060
00:52:55,239 --> 00:52:57,280
Speaker 4: When you get in there, it's it's almost.

1061
00:52:56,960 --> 00:52:58,280
Speaker 1: Like shit in your car.

1062
00:52:59,480 --> 00:53:04,400
Speaker 4: Yes, like points from my SUPERU points they're going to

1063
00:53:04,480 --> 00:53:08,719
Speaker 4: turn over to whatever. Yeah, got the government revenuers.

1064
00:53:09,400 --> 00:53:14,120
Speaker 1: So they're sending this information directly to the police without

1065
00:53:14,120 --> 00:53:18,960
Speaker 1: a warrant. They're also sending it to insurance companies and

1066
00:53:19,080 --> 00:53:21,600
Speaker 1: so like. One driver found that his car insurance jumped

1067
00:53:21,600 --> 00:53:23,799
Speaker 1: by twenty one percent even though he hadn't been in

1068
00:53:23,840 --> 00:53:27,760
Speaker 1: any accidents, and the reason was that General Motors collected data,

1069
00:53:28,200 --> 00:53:32,279
Speaker 1: including details of speeding and sharp accelerations, and gave it

1070
00:53:32,280 --> 00:53:35,400
Speaker 1: to their data broker partner, who handed it over to

1071
00:53:35,520 --> 00:53:39,680
Speaker 1: the insurance company. So every time you hit the accelerator,

1072
00:53:39,760 --> 00:53:41,360
Speaker 1: it's going on your permanent record.

1073
00:53:41,760 --> 00:53:43,600
Speaker 3: That's ridiculous. I'm so screwed.

1074
00:53:43,640 --> 00:53:45,359
Speaker 4: But that's the people who are like, I haven't been

1075
00:53:45,400 --> 00:53:47,680
Speaker 4: in an accident. I'm a great driver. You're like, really,

1076
00:53:49,360 --> 00:53:52,520
Speaker 4: you caused accidents behind you, but you personally haven't.

1077
00:53:52,760 --> 00:53:57,000
Speaker 1: Yeah, yeah, exactly. Yeah, it's just an a automaker sent

1078
00:53:57,080 --> 00:54:00,320
Speaker 1: vehicle location data to police without a court order or warrant.

1079
00:54:00,920 --> 00:54:03,239
Speaker 3: Baddy snitching, Like what's there in it for them? Are

1080
00:54:03,239 --> 00:54:04,839
Speaker 3: they are the cops paying them? Or they just want

1081
00:54:04,880 --> 00:54:06,680
Speaker 3: to keep like a good accord, Like, what's up with it?

1082
00:54:06,880 --> 00:54:09,280
Speaker 2: I don't accord a good accord?

1083
00:54:10,120 --> 00:54:12,200
Speaker 4: Good sunset it right?

1084
00:54:12,280 --> 00:54:13,719
Speaker 3: Yeah, I understand, because.

1085
00:54:13,480 --> 00:54:16,400
Speaker 1: That's how a lot of like, oh, the authorized.

1086
00:54:15,920 --> 00:54:18,800
Speaker 4: Okay, because I'm wondering if that's what the warrantless searches

1087
00:54:18,840 --> 00:54:21,560
Speaker 4: falls under that because if you can say that it's

1088
00:54:21,600 --> 00:54:24,480
Speaker 4: part of like terrorism, and that's a very loosely used term.

1089
00:54:24,520 --> 00:54:26,000
Speaker 4: Sure they used it to go after a lot of

1090
00:54:26,080 --> 00:54:29,680
Speaker 4: drug dealers and so they didn't you could get without

1091
00:54:29,680 --> 00:54:31,960
Speaker 4: a warrant. So I'm wondering if it falls under that.

1092
00:54:32,400 --> 00:54:33,040
Speaker 3: So what I'm doing.

1093
00:54:33,040 --> 00:54:35,440
Speaker 1: I remember when in like two thousand and two they

1094
00:54:35,440 --> 00:54:38,480
Speaker 1: were like, don't buy weed, it could be supporting al Qaeda,

1095
00:54:38,719 --> 00:54:43,520
Speaker 1: so like anything can be tied back to terrorism. I

1096
00:54:43,560 --> 00:54:44,440
Speaker 1: still bought weed.

1097
00:54:46,200 --> 00:54:47,440
Speaker 4: I won't tell anybody.

1098
00:54:47,680 --> 00:54:49,600
Speaker 3: Yeah, I just don't know how the sex I'm having

1099
00:54:49,680 --> 00:54:51,799
Speaker 3: in my cars related to terrorism it is.

1100
00:54:51,880 --> 00:54:54,320
Speaker 1: Yeah, yeah, don't find ladies.

1101
00:54:55,040 --> 00:54:58,040
Speaker 3: Yeah, I mean she used to be an Isis, but

1102
00:54:58,080 --> 00:54:58,839
Speaker 3: I don't think that she can.

1103
00:54:59,120 --> 00:55:01,480
Speaker 4: You need to be more con that Honda has like

1104
00:55:01,520 --> 00:55:02,680
Speaker 4: a cracksmoke sensor.

1105
00:55:02,840 --> 00:55:05,640
Speaker 3: Yeah, no problem, kidd.

1106
00:55:05,760 --> 00:55:07,720
Speaker 1: It really feels like we're headed that direction.

1107
00:55:08,000 --> 00:55:10,080
Speaker 3: Yeah, that is though, Yeah, because we make fun of

1108
00:55:10,120 --> 00:55:12,000
Speaker 3: like China with like oh, they've got cameras and you're

1109
00:55:12,040 --> 00:55:14,839
Speaker 3: going to lose your social status score or whatever if

1110
00:55:14,880 --> 00:55:17,040
Speaker 3: you cross on a red light, but we have our

1111
00:55:17,080 --> 00:55:18,960
Speaker 3: cars snitching on us. I mean, like this is just

1112
00:55:19,000 --> 00:55:22,640
Speaker 3: the capitalist version of the state. Controlled monopoly of like surveillance.

1113
00:55:22,680 --> 00:55:24,160
Speaker 3: I mean, this is no different. We're just you know,

1114
00:55:24,200 --> 00:55:25,600
Speaker 3: people are making more profits off it.

1115
00:55:26,120 --> 00:55:28,920
Speaker 1: We're all like all like our score that we get

1116
00:55:28,920 --> 00:55:31,440
Speaker 1: from Uber drivers, our score that we get like all

1117
00:55:31,560 --> 00:55:34,640
Speaker 1: that's going to merge into a central database where we're

1118
00:55:34,680 --> 00:55:38,160
Speaker 1: just like our rating as a person, and then that

1119
00:55:38,200 --> 00:55:41,000
Speaker 1: gets that determines your credit score and whether you can

1120
00:55:41,000 --> 00:55:41,520
Speaker 1: get alone.

1121
00:55:41,640 --> 00:55:43,120
Speaker 3: Yeah. Yeah.

1122
00:55:43,200 --> 00:55:45,239
Speaker 4: I was always afraid as a kid that I had

1123
00:55:45,239 --> 00:55:48,200
Speaker 4: my permanent record and like a filing cabinet somewhere, And

1124
00:55:48,239 --> 00:55:48,920
Speaker 4: now we kind.

1125
00:55:48,760 --> 00:55:50,320
Speaker 3: Of do we really do have a permanent R.

1126
00:55:50,480 --> 00:55:54,839
Speaker 4: So the anxiety was probably not your anxiety. No, nothing does.

1127
00:55:55,120 --> 00:55:59,000
Speaker 1: Oh man, my permanent record is fucked. Oh god, I

1128
00:55:59,080 --> 00:56:01,279
Speaker 1: try to steal that. It's great. Yeah.

1129
00:56:01,600 --> 00:56:04,880
Speaker 3: Yeah, I burned down the school to just geet rid

1130
00:56:04,920 --> 00:56:05,720
Speaker 3: of my permanent record.

1131
00:56:06,040 --> 00:56:08,200
Speaker 4: Yeah, but that went on your permanent right exactly.

1132
00:56:08,239 --> 00:56:09,719
Speaker 3: I didn't know that fortune I was young.

1133
00:56:09,880 --> 00:56:16,200
Speaker 1: Ye. Well, Zaren Elizabeth. Such a pleasure having you guys.

1134
00:56:16,520 --> 00:56:18,640
Speaker 4: I love when you let us dark in your doorway?

1135
00:56:18,800 --> 00:56:22,759
Speaker 1: Yeah, where can people find you? Follow you? Hear you?

1136
00:56:23,239 --> 00:56:24,080
Speaker 1: All that good stuff?

1137
00:56:24,840 --> 00:56:28,359
Speaker 4: Well, ridiculous crime, I heart's ridiculous crime. The child of

1138
00:56:28,480 --> 00:56:32,719
Speaker 4: Ben and Nole's Ridiculous History and so you can find

1139
00:56:32,800 --> 00:56:37,040
Speaker 4: us there on any podcast platform. We have a really

1140
00:56:37,120 --> 00:56:39,759
Speaker 4: amazing website that was designed by like a team of

1141
00:56:40,000 --> 00:56:44,359
Speaker 4: MIT scientists. It's Ridiculous Crime dot com. And yeah, that's

1142
00:56:44,400 --> 00:56:46,160
Speaker 4: where you can find is Zaren. You can find him

1143
00:56:46,160 --> 00:56:46,880
Speaker 4: a lot more, please.

1144
00:56:47,239 --> 00:56:50,279
Speaker 3: I got a new show on the iHeart Network of

1145
00:56:50,400 --> 00:56:53,200
Speaker 3: very special episodes or like little audio movies or like

1146
00:56:53,320 --> 00:56:56,960
Speaker 3: magazine feature stories but that come alive in audio. I

1147
00:56:57,080 --> 00:57:00,279
Speaker 3: recommend that, and then yeah, I think a Ridiculus Crime

1148
00:57:00,320 --> 00:57:02,000
Speaker 3: is obviously the best place to catch us.

1149
00:57:02,000 --> 00:57:03,000
Speaker 1: So look for us there.

1150
00:57:03,200 --> 00:57:04,680
Speaker 2: Wait, Arreen, what's that show called again?

1151
00:57:05,160 --> 00:57:06,520
Speaker 3: Very Special Episodes?

1152
00:57:06,640 --> 00:57:07,680
Speaker 2: Right, I'm gonna check it out.

1153
00:57:07,840 --> 00:57:09,759
Speaker 1: Amazing. Is there a work of media that you guys

1154
00:57:09,760 --> 00:57:10,400
Speaker 1: have been enjoying?

1155
00:57:11,440 --> 00:57:16,280
Speaker 3: Let's see. IM right off into streaming services, like I'll

1156
00:57:16,320 --> 00:57:17,680
Speaker 3: sit there and like just put on some show that

1157
00:57:17,720 --> 00:57:20,320
Speaker 3: I have like six six seasons, like nice, and then

1158
00:57:20,360 --> 00:57:23,320
Speaker 3: like it comes the backdrop, but they're always insane shows

1159
00:57:23,360 --> 00:57:26,919
Speaker 3: like right now I'm watching rewatching Vikings, and oh my god,

1160
00:57:26,960 --> 00:57:29,000
Speaker 3: do I love it. It's so beautiful that I constantly

1161
00:57:29,000 --> 00:57:30,720
Speaker 3: look up and get mad that I'm like not writing

1162
00:57:30,760 --> 00:57:33,400
Speaker 3: anymore because I'm looking at the imagery, so I recommend

1163
00:57:33,480 --> 00:57:34,600
Speaker 3: Vikings for a rewatch.

1164
00:57:35,120 --> 00:57:36,560
Speaker 1: There you go amazing.

1165
00:57:36,600 --> 00:57:38,880
Speaker 4: How about you, Elizabeth, I've really gotten into it. I

1166
00:57:39,160 --> 00:57:41,000
Speaker 4: hate that I can't remember the name of the account,

1167
00:57:41,080 --> 00:57:44,000
Speaker 4: but there's this Instagram account with a dog that they

1168
00:57:44,160 --> 00:57:47,560
Speaker 4: dress up and they like blow out his hair in

1169
00:57:47,640 --> 00:57:50,200
Speaker 4: a gold chain and it kind of looks like early

1170
00:57:50,320 --> 00:57:54,560
Speaker 4: Jonah Hill. And I love that for me, you know,

1171
00:57:54,640 --> 00:57:59,360
Speaker 4: Like I said, I just I try and just keep

1172
00:57:59,400 --> 00:58:01,160
Speaker 4: my city very low.

1173
00:58:01,200 --> 00:58:03,080
Speaker 3: He's on with the Bob ross Affron completely.

1174
00:58:03,120 --> 00:58:04,800
Speaker 4: Yeah, yeah, yeah, So that's it.

1175
00:58:05,840 --> 00:58:09,840
Speaker 1: Jody, wonderful having you on, Yeah, guest host. Where can

1176
00:58:09,880 --> 00:58:12,200
Speaker 1: people find you? Follow you? And is there a workid

1177
00:58:12,240 --> 00:58:13,600
Speaker 1: media that you've been enjoying.

1178
00:58:14,120 --> 00:58:16,680
Speaker 2: I'll plug two quick things. So one, I have a newsletter.

1179
00:58:16,680 --> 00:58:18,840
Speaker 2: I would love people to subscribe to that, so you

1180
00:58:18,880 --> 00:58:24,600
Speaker 2: can just google Jody Afrigan substack you'll find that. And then, uh,

1181
00:58:25,000 --> 00:58:27,720
Speaker 2: he doesn't need my help. But I'm I'm recently on

1182
00:58:27,800 --> 00:58:30,320
Speaker 2: board as the executive producer of Trevor Noah's podcast, and

1183
00:58:30,320 --> 00:58:32,000
Speaker 2: I got to say, I really love it and I

1184
00:58:32,120 --> 00:58:34,240
Speaker 2: love working with him a lot, and people should check

1185
00:58:34,240 --> 00:58:37,000
Speaker 2: out What Now with Trevor Noah. I think we're trying

1186
00:58:37,000 --> 00:58:39,720
Speaker 2: to do something a little a little special there, so

1187
00:58:39,840 --> 00:58:43,000
Speaker 2: go check that out. And then in terms of media,

1188
00:58:43,120 --> 00:58:46,280
Speaker 2: I just I mean the final pages, so no one

1189
00:58:46,320 --> 00:58:49,280
Speaker 2: spoiled it for me. But this book called burnham Wood

1190
00:58:49,480 --> 00:58:52,680
Speaker 2: b I R N A M. Would, which is really

1191
00:58:52,960 --> 00:58:56,280
Speaker 2: wonderful and it's a I have this habit of when

1192
00:58:56,320 --> 00:58:57,960
Speaker 2: I take a trip. If I'm taking a long trip

1193
00:58:57,960 --> 00:58:59,000
Speaker 2: and I want to find a book for a trip,

1194
00:58:59,040 --> 00:59:00,720
Speaker 2: I'll go to the Hudson News and I'll take a

1195
00:59:00,720 --> 00:59:03,360
Speaker 2: photo of like all the books on the shelf and

1196
00:59:03,400 --> 00:59:05,160
Speaker 2: just put it on social media and just say, like,

1197
00:59:05,760 --> 00:59:08,200
Speaker 2: zoom in and pinch around and tell me what, which

1198
00:59:08,200 --> 00:59:10,400
Speaker 2: one of these is actually good? And a couple people

1199
00:59:10,440 --> 00:59:12,480
Speaker 2: recommended burnam Wood last time, and it was like the

1200
00:59:12,480 --> 00:59:14,600
Speaker 2: best of every time, of all the times I've done this,

1201
00:59:14,640 --> 00:59:15,800
Speaker 2: it was the best, the best read.

1202
00:59:15,880 --> 00:59:19,680
Speaker 3: And it's like, give me a suggestion. That's great. You've

1203
00:59:19,720 --> 00:59:21,880
Speaker 3: limited it down to like which of these that's really.

1204
00:59:21,800 --> 00:59:23,080
Speaker 2: Yeah, And I'm just gonna you know, I'm gonna buy

1205
00:59:23,280 --> 00:59:24,880
Speaker 2: an airport book, but I want to go the Airport

1206
00:59:24,880 --> 00:59:26,160
Speaker 2: book and I'm gonna read it on this trip and

1207
00:59:26,200 --> 00:59:27,040
Speaker 2: then move move on.

1208
00:59:27,160 --> 00:59:30,320
Speaker 1: So I'm gonna probably borrow that do that. What is

1209
00:59:30,640 --> 00:59:31,400
Speaker 1: what is the book?

1210
00:59:31,640 --> 00:59:34,760
Speaker 2: What b I R N A M would And it's

1211
00:59:34,760 --> 00:59:39,400
Speaker 2: a it's about a like environmental collective in New Zealand

1212
00:59:39,480 --> 00:59:44,120
Speaker 2: that meets uh, mysterious billionaire and you know, like some

1213
00:59:44,160 --> 00:59:47,480
Speaker 2: stuff happens, but mostly it's just like beautifully written and

1214
00:59:47,680 --> 00:59:50,919
Speaker 2: great greatly rendered characters and a lot of like rich

1215
00:59:51,000 --> 00:59:54,800
Speaker 2: interior lives and you know, I like my main experience

1216
00:59:54,840 --> 00:59:58,080
Speaker 2: reading the book has been like it reads easy. I

1217
00:59:58,080 --> 00:59:59,480
Speaker 2: mean I'm just like find it stuff like all of

1218
00:59:59,480 --> 01:00:01,720
Speaker 2: a sudden, I like five pages. But then I'll like

1219
01:00:01,800 --> 01:00:04,320
Speaker 2: have read a page and I'll just be like, that

1220
01:00:04,480 --> 01:00:07,400
Speaker 2: was beautiful, and then I'll be like, and nothing happened.

1221
01:00:07,400 --> 01:00:09,080
Speaker 2: It was just like a description of someone just like

1222
01:00:09,120 --> 01:00:11,960
Speaker 2: walking down the street. But it's just I don't know,

1223
01:00:12,080 --> 01:00:15,080
Speaker 2: you know, it's good, right, yeah.

1224
01:00:15,280 --> 01:00:19,240
Speaker 1: All right. Tweet I've been enjoying. Ellie Kremndall tweeted, ADHD

1225
01:00:19,360 --> 01:00:21,960
Speaker 1: is ridiculous, Like why am I holding my pee? Because

1226
01:00:22,040 --> 01:00:27,280
Speaker 1: quote peeing is boring and I identify with that. Showering

1227
01:00:27,400 --> 01:00:29,480
Speaker 1: for me is the one that I'm like, I don't

1228
01:00:30,400 --> 01:00:35,520
Speaker 1: want to shower. It's so boring. That's bad for the

1229
01:00:35,520 --> 01:00:39,560
Speaker 1: people around me. You can find me on Twitter at

1230
01:00:39,640 --> 01:00:42,000
Speaker 1: Jack Underscore O'Brien. You can find us on Twitter at

1231
01:00:42,080 --> 01:00:45,520
Speaker 1: Daily Zeitgeist. We're at the Daily Zeitgeist on Instagram. We

1232
01:00:45,560 --> 01:00:48,160
Speaker 1: have a Facebook fan page and a website, Daily zeitgeist

1233
01:00:48,200 --> 01:00:51,120
Speaker 1: dot com, where we post our episodes and our footnotes.

1234
01:00:51,560 --> 01:00:53,360
Speaker 1: We link off to the information that we talked about

1235
01:00:53,360 --> 01:00:56,360
Speaker 1: in today's episode, as well as the song that we

1236
01:00:56,480 --> 01:01:00,680
Speaker 1: think you might enjoy. And Miles is we like to

1237
01:01:00,880 --> 01:01:05,480
Speaker 1: bring in super producer Justin Connor. Justin, is there a

1238
01:01:05,520 --> 01:01:07,919
Speaker 1: song that you think people might enjoy?

1239
01:01:08,240 --> 01:01:10,360
Speaker 7: Yes, I'm reeling from the fact that there was no

1240
01:01:10,440 --> 01:01:13,800
Speaker 7: footnotes shout out, so I'm still trying to collect myself

1241
01:01:13,800 --> 01:01:17,560
Speaker 7: for that. But the songs I had one job, Yeah

1242
01:01:17,640 --> 01:01:19,040
Speaker 7: you really really fucked up.

1243
01:01:21,800 --> 01:01:22,480
Speaker 3: Yeah, there you go.

1244
01:01:22,720 --> 01:01:23,640
Speaker 1: I'll add that you post.

1245
01:01:23,720 --> 01:01:24,520
Speaker 2: No one will be able to tell.

1246
01:01:26,200 --> 01:01:26,320
Speaker 1: Uh.

1247
01:01:26,680 --> 01:01:29,640
Speaker 7: There's this song I just started listening to. It really

1248
01:01:29,640 --> 01:01:33,040
Speaker 7: reminded me of like an unreleased Steve Miller band song.

1249
01:01:33,160 --> 01:01:35,480
Speaker 7: It's it's kind of got the aesthetic feeling of fly

1250
01:01:35,680 --> 01:01:38,640
Speaker 7: like an eagle while being an own separate thing. Yeah,

1251
01:01:38,760 --> 01:01:41,880
Speaker 7: it's it's got some tight in the pocket drumming, some

1252
01:01:41,960 --> 01:01:45,200
Speaker 7: funky bass riffs and just feels like a modern classic.

1253
01:01:45,520 --> 01:01:48,959
Speaker 7: So this is the Light by Breakbot and Earfane. That's

1254
01:01:49,000 --> 01:01:51,240
Speaker 7: I R F A n E. And you can find

1255
01:01:51,280 --> 01:01:52,520
Speaker 7: that song in the footnotes.

1256
01:01:52,760 --> 01:01:55,959
Speaker 1: Footnote The Daily's Guys is the production of iHeart Radio.

1257
01:01:56,000 --> 01:01:58,240
Speaker 1: For more podcasts from my Heart Radio is the iHeartRadio,

1258
01:01:58,240 --> 01:02:01,920
Speaker 1: ap Apple podcast or wherever you find podcasts that is

1259
01:02:01,960 --> 01:02:05,240
Speaker 1: gonna do it for us this morning. We are back

1260
01:02:05,280 --> 01:02:08,120
Speaker 1: this afternoon to tell you what is trending and we

1261
01:02:08,160 --> 01:02:08,960
Speaker 1: will talk to Elvin.

1262
01:02:09,120 --> 01:02:09,440
Speaker 6: Bye.

1263
01:02:09,560 --> 01:02:10,760
Speaker 3: Thanks us, thanks for having us.

1264
01:02:10,760 --> 01:02:13,400
Speaker 2: Bye.