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Speaker 1: Hello the Internet, and welcome to season two thirty three,

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Speaker 1: Episode two of days production of by Heart Radio. This

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

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Speaker 1: America's shared consciousness. And it is, of course Tuesday, April

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Speaker 1: nineteen four eve for twenty baby a k A. National

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Speaker 1: Garlic Day. Why is the National garlic that was just

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Speaker 1: one of the days? Or nineteen is National Garlic Day?

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Speaker 1: I'm not mad. That's like two fucking things in a

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Speaker 1: row that I love. We eat and garlic, Like, what's next?

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Speaker 1: Pizza on? All right, garlic. I'm trying to figure out

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Speaker 1: a way to talk about garlic that is anything. But yeah,

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Speaker 1: that's that stuff's pretty good. Well do you think? Okay?

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Speaker 1: At one time, you know what I gotta take on this.

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Speaker 1: It makes your breath stinky. There you go mix that

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Speaker 1: with cotton mouth. If you hit a blunt and then

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Speaker 1: eat a clove of garlic, that's weaponized. Basically, Wait, but

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Speaker 1: this is a funny when you talk about garlic. I

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Speaker 1: probably have told this antifil for because I don't have

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Speaker 1: anything that I haven't shared on the podcast anymore. Is

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Speaker 1: it's gonna being doing this for so long? But I

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Speaker 1: remember mentally checking out of a date years ago because

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Speaker 1: this person was like they didn't want to go to

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Speaker 1: a restaurant because they didn't like garlic. They're like, oh,

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Speaker 1: Italian food has a lot of garlic in at on

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Speaker 1: and I'm like what, I'm like, I mean there's stuff

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Speaker 1: that isn't like, yeah, I don't like garlic. And I

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Speaker 1: was in my mind, I was I had completely just

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Speaker 1: left the building because that said to me a lot

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Speaker 1: of bad stuff. Hm, maybe isn't isn't that one of

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Speaker 1: the things that like people with ciliac can't Maybe they

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Speaker 1: just said Cilia you no, no, no, she was not.

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Speaker 1: I mean it wasn't even that was my first thing.

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Speaker 1: I was like, oh, is it like a because I

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Speaker 1: know some people their stomachs can't handle it or whatever

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Speaker 1: it's like to raw the acidity. And she's like, no, no,

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Speaker 1: it's the it's the flavor. I think she was just

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Speaker 1: letting you know she wanted to do some kissing later on.

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Speaker 1: I don't think that was what that was. Probably that

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Speaker 1: wasn't the weight to my heart. By saying you don't

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Speaker 1: like the fucking flavor of garlic, then I'm like, your

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Speaker 1: mouth is fucked up. I at one point like we

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Speaker 1: had some of the garlickey, like some garlickey vegetables. I

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Speaker 1: was trying to get our kids eat, and I told

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Speaker 1: them the garlic like keeps vampires away, and then like

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Speaker 1: that lie, I will say, okay, there I said it.

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Speaker 1: It's not true, I don't think, but that has blossomed

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Speaker 1: into me being like, oh yeah, and carrots they keep

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Speaker 1: the mummy away. And it's just like expanded out into

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Speaker 1: like and I think you should leave now. Now you're

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Speaker 1: gonna say you got doubles of broccoli and ship Brussels

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Speaker 1: sprouts because it keeps the mummies away. Here. Yeah, now

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Speaker 1: like when we're out, if we're eating something that they

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Speaker 1: asked me, what monster the food that I'm trying to

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Speaker 1: get them to eat keeps away? And I just didn't

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Speaker 1: have to hang my head and sham you never. I

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Speaker 1: feel like other places, other parents lean into the fucking

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Speaker 1: superpowers that thing gives you. Yeah, we're we're probably a

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Speaker 1: year past the superpowers because yeah, after eight like all

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Speaker 1: his vegetables and then jumped out of a second story window.

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Speaker 1: But like they're they're they're smart enough that they don't

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Speaker 1: they're like the jig is up on that right, like

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Speaker 1: they know they can't fly after they eat a bunch

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Speaker 1: of brustless prowder. But I would always be like, eat

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Speaker 1: your carrots because it helps your eyes so you don't

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Speaker 1: have to wear glasses, or like it helps your eyesight

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Speaker 1: long time. But because I don't like the flavor. Yeah, now,

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Speaker 1: I mean because they're into superheroes, so they want they

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Speaker 1: want like tangible. You know that they asked for a spreadsheet,

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Speaker 1: that asked for a power point to explain that ship.

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Speaker 1: So with monsters, though, the good news is you're you're

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Speaker 1: rarely going to get called on that ship because like,

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Speaker 1: I haven't run into a Dracula in years. Have you

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Speaker 1: done the optical illusion where you can make it look

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Speaker 1: like you're levitating for kids? No, I haven't go over

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Speaker 1: and I'll be like Jack, I'm so weak man, I

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Speaker 1: think I need vettable, ask something all and then like

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Speaker 1: you give me like some cauliflying like, oh ship, I'm

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Speaker 1: like stand back kids, and I do the levitations two off.

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Speaker 1: Then yeah, alright, well we'll do it, because that that

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Speaker 1: would work the still fall, the look what I found

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Speaker 1: in your ears thing? Oh that I don't want to

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Speaker 1: give him nights there, like you keep that demon for

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Speaker 1: the away what's flying through the house? All right, well, hey,

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Speaker 1: we haven't even introduced ourselves. My name is Jack O'Brien

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Speaker 1: a K. It would be won Ak Pachenko. Opening credits,

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Speaker 1: fan boy, that ship is dope. If anybody's watching that show,

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Speaker 1: those opening credits maybe my favorite thing I've seen on

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Speaker 1: TV in a long time. And I'm thrilled to be

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Speaker 1: joined as always buy my co host, Mr Miles Grass

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Speaker 1: Miles Gray a K. So we may spoken spoken, so

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Speaker 1: we'll miss Okay, spoke, someone spoke, We're going du day.

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Speaker 1: Oh my god. That's obviously to the tune of a

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Speaker 1: yarram Yeah, my peril jam And that's by Andrew pub

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Speaker 1: on the discord. Now what was happening there? Because you

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Speaker 1: were yarroling like Eddie Vetter, I couldn't quite make out

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Speaker 1: the lyrics. Someone made, spoke, someone made spoken, Spokane, Washington. Okay, okay,

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Speaker 1: got it. Yeah, I'm I'm with yeah. Yeah, Well, Miles,

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Speaker 1: we are thrilled to be joined in our third seat

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Speaker 1: by very hilarious, very patient comedian and podcast host just

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Speaker 1: had to sit through all that ship. You know him

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Speaker 1: from his podcast Air Buds. Sorry, we love football and

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Speaker 1: sneak this and just all of his great work with

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Speaker 1: follow through Studios. It's Jamal Johnson. Hey, what's what's welcome?

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Speaker 1: I was I was walking with that intro. You never know,

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Speaker 1: some shows they don't want you to talk. That was

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Speaker 1: good sometimes a little something I guessed recently on another

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Speaker 1: show and I looked down the whole time they were

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Speaker 1: doing the opener because like in my mind, I was

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Speaker 1: like backstage or some ship. It it's the ship that

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Speaker 1: these are weird zoom habits I have. Now I was

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Speaker 1: in a room with these people too, so I just

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Speaker 1: wasn't used to be So I was like this the

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Speaker 1: whole time they did their opening, and I was like,

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Speaker 1: what's up everybody? Yeah, you're just it's telling God speak

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Speaker 1: through you, you know, yeah, exact And also who does

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Speaker 1: that with the hat and they like come, I feel

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Speaker 1: like I'm picturing like Michael Jackson coming like up from

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Speaker 1: the ground with his head down. I mean, everybody does

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Speaker 1: the low brim. I mean that that might have just

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Speaker 1: been a very dramatic intro, like you were just frozen,

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Speaker 1: like ready to I'm ready to let him know. To

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Speaker 1: be honest, I maybe hot p jay Z because Hope

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Speaker 1: did that, so hope wanted to go through that. Um.

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Speaker 1: But yeah, Jamel, are you living in l A. Are

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Speaker 1: you were in an Ohio State hat? Yes, I'm wearing

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Speaker 1: an Ohio State hat for the troops. Okay, r I P. Haskins.

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Speaker 1: You know what I'm saying. But I didn't go to

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Speaker 1: that the Ohio State University or just another Ohio State universe. Okay, Ohio.

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Speaker 1: I just always like to make sure. But I'm from Virginia. Uh,

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Speaker 1: you know the DC burbs. I say d C the

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Speaker 1: same time, but Woodbridge, Virginia for the tholks who really

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Speaker 1: want to know, Okay, okay, okay. And how you like

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Speaker 1: in l A. How long you've been out here? That's

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Speaker 1: cool ship I've been out here like coming up with

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Speaker 1: seven years. Okay yeah, yeah, so you're almost from l A. Yeah,

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Speaker 1: yeah exactly. I I know how the traffic works. It

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Speaker 1: was very excited to uh that basketball was over in

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Speaker 1: l A for the first time in a while. It's sick, yo.

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Speaker 1: I'm like, I'm thinking about riding a bicycle on the

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Speaker 1: one tin like in sant Andrea's happening over there anymore. Yeah,

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Speaker 1: there's finally some space. Yeah yeah, Oh that's a good challenge.

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Speaker 1: That's amazing. Yeah, alright, do you have an NBA team?

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Speaker 1: I am a fan of the Washington Wizards. Okay, stay

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Speaker 1: tuned for our third consecutive ninth pick in the draft. Yeah,

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Speaker 1: that ninth spot though, I feel like they've done some

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Speaker 1: good players. And there Dirk was Dirk nine, Dirk, Dirk

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Speaker 1: was somewhere around there, low lottery and you know, really

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Speaker 1: is good. I like our guy Ruy. Yeah. Yeah, obviously

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Speaker 1: shouts to my black knees people up there, come on.

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Speaker 1: That's like the first like non Lakers jersey, I bottom, Well,

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Speaker 1: if they're on, they're black knees, like I got to

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Speaker 1: gotta gotta got him glove. Yeah. Absolutely. All right, Well,

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Speaker 1: we're gonna get to know you a little bit better

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Speaker 1: in a moment. First, we're gonna tell our listeners a

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Speaker 1: couple of the things that we're talking about later on

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Speaker 1: the episode. We're gonna be talking about Greg Abbott's ray

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Speaker 1: says political theater. We're gonna be talking about Florida rejecting

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Speaker 1: fifty four math books because some had critical race theory

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Speaker 1: in them math books. That's of the books submitted for

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Speaker 1: a review, so they we don't have details on what

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Speaker 1: they saw in there. But you don't need them. You

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Speaker 1: don't need them even just trust them on this trust man.

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Speaker 1: They were doing some critical race that math book. We're

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Speaker 1: gonna talk about the concept of cabin fever, whether we

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Speaker 1: have it as a nation. So all of that plenty more.

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Speaker 1: But first, Jim and I we like to ask our guests,

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Speaker 1: what is something from your search history? Uh? My search

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Speaker 1: history kind of boring lately. I just I searched Adidas yesterday,

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Speaker 1: just just the words just what's up with them? Yeah,

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Speaker 1: just saying what they was up to? Easter suits. Yeah,

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Speaker 1: I was looking at she was looking at up the

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Speaker 1: tan Obama. Yeah. I think mostly what I'm say it

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Speaker 1: is closed. The weirdest thing I searched is Geno Green

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Speaker 1: Global shirt. Do you remember these shirts from the it's

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Speaker 1: like late nineties, early two thousands. All the rappers wore them.

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Speaker 1: They were very oversized and there was a bunch of

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Speaker 1: number nine. It was shirts with like every rapper in

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Speaker 1: New York. Pappoose had like like DJ Clay, Slay h

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Speaker 1: R and p K Slay exactly like they had like

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Speaker 1: an exclusive Geno Green Global gear. Yeah. And I was

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Speaker 1: in Seattle and I saw a five x red leather

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Speaker 1: Geno green jacket. Wow, And I didn't get it. But

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Speaker 1: if you it's probably still on the wall at the

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Speaker 1: crossroads Capitol Hill, go get you one. Yeah, yeah, rocking

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Speaker 1: that outfit? Did you ever get to the bottom? First

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Speaker 1: of all, we were you searching this because you have

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Speaker 1: three consecutive nine picks and you were doing some memework

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Speaker 1: contact official gear for thezards. It's not exact. I was

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Speaker 1: trying to figure that that it actually was. Why I

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Speaker 1: was searching it. My little brother was like, my little

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Speaker 1: brother was talking about he put up a tweet about

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Speaker 1: our draft odds, and I was like, here's here's us

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Speaker 1: when we get the ninth pick again of Pat boos

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Speaker 1: and oh man, I missed these fashions. Put some South

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Speaker 1: Bowl jeans on and you're back here. You're never dropping machine.

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Speaker 1: Put Fooboo platinum. Oh my god, what the fucking fat

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Speaker 1: Albert graphics? Come on, calm. I thought they were back.

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Speaker 1: I thought fobo was all the way back when they

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Speaker 1: dropped the Fat Albert graphics. Yeah, I mean that because

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Speaker 1: and look, they were chasing that Iceberg wave. Because I

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Speaker 1: remember at the time, Iceberg was for people who have

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Speaker 1: fucking money, you know, because like Iceberg, Mickey Mouse, button

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Speaker 1: up was so much money. Then the Foodboo Platinum came in,

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Speaker 1: like hey, we can do it. We can do lovable

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Speaker 1: cartoon characters too. At the lower price point, I introduced

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Speaker 1: Fooboo platinum. Damn I had I had a fake Iceberg

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Speaker 1: sweater with Speedy Gonzalez on it. They I mean, who

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Speaker 1: didn't have the fake Iceberg backin? Like that was club

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Speaker 1: that was like mandatory club attire, Like you weren't. You

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Speaker 1: weren't doing it if you don't have Iceberger on at

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Speaker 1: the club. That's very true. And the number nine was

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Speaker 1: was that? So I'm just I I was not what

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Speaker 1: was what? Wait, what did you go to? I mean,

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Speaker 1: when you're going to when you're in Georgetown? What did

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Speaker 1: you guys go out? Did you what was like you're

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Speaker 1: going out clothing back then? Oh man, but yeah here

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Speaker 1: and a little budon of a little quarterstip with the

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Speaker 1: joint underneath. Very baggy pants but often like Khaki's just

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Speaker 1: I dressed like ship Man completely and totally dressed like

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Speaker 1: ship was it just like not socially functional? Yeah I was.

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Speaker 1: I was a mess right, like one of those four

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Speaker 1: years the kind of guy who didn't have pants that

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Speaker 1: could go with night shoes. So like, y'all put your

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Speaker 1: fund up baggy pants over likes shoes and you're like,

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Speaker 1: fucking outfit he pants with like the back of the

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Speaker 1: cuff like kind of torn. Yeah, I know it's the animal,

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Speaker 1: all right. I was gonna ask what the number nine

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Speaker 1: was for, but I think it was just because it

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Speaker 1: looked like a lower case G. I think, so, yeah,

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Speaker 1: I think there we go. What is something you think

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Speaker 1: is overrated? I'm gonna say ranch dressing on wings? Yeah?

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Speaker 1: Is that because you are adhering to blue blue cheese

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Speaker 1: or I am I'm I'm a blue cheese truth thir

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Speaker 1: be be an adult put some cheese on them wings,

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Speaker 1: but makes a lot of places with their ranch be off.

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Speaker 1: A lot of ranches are watery, now I know, I

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Speaker 1: don't I think ranch needs to be abolished. I think

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Speaker 1: Ranch at the top of its game is some of

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Speaker 1: the finest dipping sauce you can't. But just based on

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Speaker 1: the numbers, m h, A lot of times Ranch is

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Speaker 1: whack as hell and people are always like, give me

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Speaker 1: extra ranch, please you right, move on from that. It's

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Speaker 1: time to because you know, a lot of times you

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Speaker 1: regret that extra ranch and treating it like the default

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Speaker 1: is a a food like you know, like, oh you

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Speaker 1: you don't want ranch, you want you want blue cheese instead.

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Speaker 1: It's like, come on, yeah, man, this is the only

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Speaker 1: thing people need to look out for. Speaking of shitty ranch,

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Speaker 1: when you go out to eat and you ask for ranch,

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Speaker 1: taste that ship before you just put it on your food, because,

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Speaker 1: like to your points amount, half the time, the ranch

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Speaker 1: out here is like cut with just nothing, and it

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Speaker 1: has no taste. It's watery, and I don't even think

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Speaker 1: I'm even getting the flavor of ranch. Like people just

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Speaker 1: used to like, where's my white google with green flex

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Speaker 1: in it? To dip my ship in? And so some

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Speaker 1: of these restaurants are having a fucking laugh, as they

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Speaker 1: say in the UK, because you eat the ship and

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Speaker 1: the taste is thin. It's not the same. And like

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Speaker 1: sometimes I go to places and the only time I

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Speaker 1: can discern between the blue cheese and the ranches because

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Speaker 1: one has chunks in it. But then even then, if

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Speaker 1: I just go liquid taste, I'm like to see this

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Speaker 1: is it? This is cut man. They got bacon soda

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Speaker 1: in this man too. Much a stepped you stepped on.

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Speaker 1: This is in the kitchen right now. The shout out

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Speaker 1: while we're here, shout out to Denny's, who does make

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Speaker 1: their own ranch in the house. All right. So that's

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Speaker 1: another issue that I've seen is when they brag about

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Speaker 1: making their own ranch in house. I got. I got

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Speaker 1: like a restaurant that I like around around here, had

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Speaker 1: pizza with a ranch dipping sauce for the for the crust,

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Speaker 1: which I tend to enjoy it, and the ranch was fucked.

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Speaker 1: It was like real deal heavy, Like they just didn't

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Speaker 1: they didn't have the mix right. And I've like I

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Speaker 1: couldn't even really define what was wrong, and like I

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Speaker 1: got through like a crust and a half before I

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Speaker 1: was like this, fuck, this is so bad. And you know,

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Speaker 1: I'm sorry to hear that. Man, I hate it at home.

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Speaker 1: I did. I wasn't like sitting in the restaurant saying

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Speaker 1: that loudly, but yeah, I was just like, oh right,

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Speaker 1: this is this tastes bad. But because they're saying it's

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Speaker 1: homemade ranch, I was excited for it and I had

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Speaker 1: a little momentum going in it was it's not good

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Speaker 1: like the homemade Yeah, the homemade, like you know, can

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Speaker 1: go really well. Denny's isn't gonna suck it up. I

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Speaker 1: can tell you that for sure. Yeah, but sometimes I

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Speaker 1: don't know hidden Like I've never had a catchup that

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Speaker 1: is as good as Hines. Like I just feel like

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Speaker 1: Hines has has that, and everybody else is like doing

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Speaker 1: doing imitations of that. Like if I hear that there's

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Speaker 1: a homemade catchup at a restaurant, I'm kitchen make catchup.

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Speaker 1: I'm I'm not excited about that. Ranches somewhere in from

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Speaker 1: the factory, Yeah, from the factory. Just take me to

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Speaker 1: the hidden Valley? What what something you think is underrid?

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Speaker 1: The starting shooting guard for the Milwaukee Bucks, Chris Middleton, Yeah,

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Speaker 1: I think you know, for years and years and years,

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Speaker 1: everybody was up Chris Middleton's asked, oh, are the Bucks

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Speaker 1: gonna trade him? Does the honest needs somebody better to

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Speaker 1: play with? And then they fucking won a title and

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Speaker 1: Chris was amazing. Now this year they're like, oh, the Bucks,

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Speaker 1: and do they even have a shot the Bucks? The

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Speaker 1: Bucks won Game one and everybody's because Chris Middleton is

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Speaker 1: is he okay? It's like, guys, just because he's not

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Speaker 1: hot does not mean he's not the Bestris Middleton is

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Speaker 1: amazing and I praised the man at every chance I get. Yeah,

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Speaker 1: And I feel like there's always like that narrative is

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Speaker 1: like is the postseason Middleton's gonna show up? Is who?

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Speaker 1: Like which version do we get? It's like and when

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Speaker 1: he does show up, which he does pretty consistently, now

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Speaker 1: you're like, right there he is. That's that's just that's

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Speaker 1: not a question like, well, you know, what what version

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Speaker 1: is it going to be this time? It's like, no,

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Speaker 1: there's a foundation, there's like a there's a floor with

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Speaker 1: his skill set, and that's why he's operating from. Yeah,

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Speaker 1: his name isn't helping him. Chris middle with a K

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Speaker 1: too k H, you know, because there's any k H

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Speaker 1: I think it is. Yeah that I'm like like, I mean,

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Speaker 1: I look, I don't give a funk, but I would

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Speaker 1: like to just you know, for my own podcast or mind.

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Speaker 1: I want to be creative. I want to know, let's

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Speaker 1: go further back. The genesis of the name was there

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Speaker 1: was there Jesus Christ with a K like that. I'm

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Speaker 1: just saying, like, like, I don't know, there's nothing that

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Speaker 1: offends me about his name. It's just I feel like

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Speaker 1: his like he's never If he was the greatest player

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Speaker 1: of like all time, the NBA would have a problem.

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Speaker 1: They'd be like, all right, we need to come up

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Speaker 1: with a new name because Chris Middleton. Here you go.

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Speaker 1: But yeah, I mean for for non NBA fans, like

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Speaker 1: I feel like it's underrated to go look at like

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Speaker 1: shooters when they get hot, like because you know, a

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Speaker 1: lot of the highlights you see are people you know,

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Speaker 1: dunking and just doing wild like athletic ship. But like

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Speaker 1: the touch that's required, and like when Chris Middleton is

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Speaker 1: locked in, like some of the hardest shots he's hit,

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Speaker 1: like fade away three pointers, like turnaround ship, like that

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Speaker 1: is that's what NBA players are better at than anybody else.

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Speaker 1: Like there's great athletes in every sport, but like the

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Speaker 1: touch is supernatural, Like the their ability to hit those

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Speaker 1: shots consistently, it's pretty pretty crazy. And then to do

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Speaker 1: it again and again, it's it's damn near impossible to

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Speaker 1: hit three shots in a row alone in the gym.

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Speaker 1: For me, he's wild and truly one of the players

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Speaker 1: where once he gets going, you're you know what's going

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Speaker 1: In the second it leaves hand. Yeah, yeah, which is

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Speaker 1: also fun. Way, like, what's your how are you feeling

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Speaker 1: about the playoffs? Who are you liking? What you like

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Speaker 1: in or what do you or even if you know

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Speaker 1: you like somebody, how do you think it on? What's

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Speaker 1: your pragmatic mind? Even say? Okay, so I got money

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Speaker 1: on sons for Sixers. Okay, but I think I I

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Speaker 1: I think that the Sixers will funk up somewhere along

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Speaker 1: the way, like they could they could easily lose to

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Speaker 1: the Bucks, or they could easily blow the second round

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Speaker 1: to end. Yeah, yeah, exactly, something like that. They could

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Speaker 1: blow this rounds too. I feel like people took that

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Speaker 1: first game as like, well, this series is over right,

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Speaker 1: I was going to ask you for the Sixers. The

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Speaker 1: Sixers are gonna sixer Yeah yeah, but they looked good

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Speaker 1: in the first game. The playoffs are in full swing

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Speaker 1: for non NBA fans, and it was. It was a

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Speaker 1: fun weekend, very fun. Yeah. Not only only two and

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Speaker 1: a half months left for all you nine NBA fans

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Speaker 1: with significant others. Right, we're almost we're almost home. Right.

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Speaker 1: I know some people like there's a play in game before.

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Speaker 1: Just trust me, I'm not making it up. Like I

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Speaker 1: did last year when I made up different games, I'd go,

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Speaker 1: all right, let's take a quick break, we'll come back

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Speaker 1: and talk about some news. And we're back and yeah,

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Speaker 1: let's talk Greg Habbitt. It's been a while since we

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Speaker 1: checked in with him and his race to be the

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Speaker 1: shittiest governor in in America. Yeah, it's he and run

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Speaker 1: Roun de Santis right ahead, constantly trading blows. You know,

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Speaker 1: first first you think the santist is up, and then

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Speaker 1: Greg Abbott hits you with that no look, and you're like,

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Speaker 1: what the how did he do it again? Okay, I

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Speaker 1: guess he's in the lead now. So, like you said,

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Speaker 1: he's he's running for office. He's got he's trying to

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Speaker 1: stay in office again. He's going up against betto or

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Speaker 1: Ork right now, and I believe he's leading a Rourke

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Speaker 1: in the polls, and he's got to make sure he's

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Speaker 1: hitting all the right notes to activate the base, you know,

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Speaker 1: primarily doing everything he can to make a fucking scene

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Speaker 1: and you know, do the thing that most politicians in

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Speaker 1: the United States like to do, which is treat human

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Speaker 1: beings like actual detritus that needs to be hauled off

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Speaker 1: to the dunk and last week very controversial policies coming

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Speaker 1: out of the state of Texas as it relates to immigration.

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Speaker 1: So the Biden administration, they rescinded Title forty two, which

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Speaker 1: was preventing asylum seekers from getting an immediate hearing due

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Speaker 1: to COVID, and once that was rescinded, Abbott opportunistically, like

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Speaker 1: most conservatives are like, just look look what he's done.

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Speaker 1: He's basically opened the border up and they're just gonna

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Speaker 1: fucking walk in with anything this whatever they want. They're

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Speaker 1: gonna cut the tags off all our mattresses. You're gonna

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Speaker 1: see is gonna be fucking kao US. And now he

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Speaker 1: has created, like last week, did a really good job

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Speaker 1: of basically making it seem like there was a total

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Speaker 1: crisis again, or at least t people who only watch

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Speaker 1: Fox News, and to protect his state, Abbott did this

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Speaker 1: thing where he's like, you know what, since Joe Biden

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Speaker 1: thinks these people need to get in the US so quickly,

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Speaker 1: I'm gonna put him on a bus to d C

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Speaker 1: and drop them off there because their DC's problem now.

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Speaker 1: And this again he said, so Biden can quote immediately

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Speaker 1: address the needs of the people that they are allowing

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Speaker 1: to come across our border, and people wanted was that.

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Speaker 1: Did he consult with the people that, well, here's the thing.

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Speaker 1: He made it again. He tried to make it seem like, oh,

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Speaker 1: I can just do this because I'm not letting this

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Speaker 1: happen in Texas. Some people want to like, want to

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Speaker 1: immigrate here, put him on a bus, get him out

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Speaker 1: of Texas. That's not in his purview as governor because

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Speaker 1: immigration is enforced at the federal level. So what he

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Speaker 1: did was find people who volunteered for a free trip

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Speaker 1: to d C. Basically, which I'm sure I don't know

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Speaker 1: if some people are like, you know what, it's actually

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Speaker 1: I got family in DC, like you saved me something.

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Speaker 1: But again, this is he He's made it all look

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Speaker 1: like look what I did. I got the riff raff

422
00:24:11,520 --> 00:24:14,520
Speaker 1: out dropped him off on Biden's doorstep, because these aren't

423
00:24:14,520 --> 00:24:16,440
Speaker 1: people who are trying to live a better life. They're

424
00:24:16,560 --> 00:24:20,159
Speaker 1: just you know, greedy. Because of most Americans who are

425
00:24:20,480 --> 00:24:24,159
Speaker 1: you know, just so against immigration, typically looking through the

426
00:24:24,240 --> 00:24:26,440
Speaker 1: lens of like their own experience, which is well, I

427
00:24:26,480 --> 00:24:28,560
Speaker 1: already have anything, so for me to leave with me,

428
00:24:28,640 --> 00:24:30,800
Speaker 1: and I'm leaving because I want something more than I've

429
00:24:30,880 --> 00:24:34,159
Speaker 1: got or should get, rather than looking at these are

430
00:24:34,240 --> 00:24:37,600
Speaker 1: people who are merely trying to survive. It's not an

431
00:24:37,640 --> 00:24:40,560
Speaker 1: inherently greedy act that they're looking out for themselves. They're

432
00:24:40,560 --> 00:24:43,760
Speaker 1: being literally chased out of their places with people with

433
00:24:43,880 --> 00:24:47,080
Speaker 1: guns by people with guns. So you take that with

434
00:24:47,320 --> 00:24:50,360
Speaker 1: the other ship he's pulling and only recently stopped, which

435
00:24:50,400 --> 00:24:53,480
Speaker 1: was he wanted to then make the border crossing into

436
00:24:53,560 --> 00:24:57,080
Speaker 1: Texas even like more fucked up by adding another level,

437
00:24:57,160 --> 00:25:00,840
Speaker 1: like layer of truck inspections. People already say the border

438
00:25:00,880 --> 00:25:03,720
Speaker 1: patrol like they already this is it's a it's a

439
00:25:04,320 --> 00:25:07,240
Speaker 1: very The system works. There's no need to add another

440
00:25:07,359 --> 00:25:09,480
Speaker 1: layer of holding ship up. But yet he did that,

441
00:25:10,119 --> 00:25:13,360
Speaker 1: and this basically caused the gridlock to the point where

442
00:25:13,880 --> 00:25:15,760
Speaker 1: the head of agriculture like in the state of Texas

443
00:25:15,840 --> 00:25:18,320
Speaker 1: was saying, like, this is really fucking stupid. This isn't

444
00:25:18,320 --> 00:25:21,160
Speaker 1: gonna stop illegal immigration. In fact, it's only gonna fuck

445
00:25:21,240 --> 00:25:24,479
Speaker 1: things up, and it did. Food was rotting in trucks

446
00:25:24,520 --> 00:25:26,560
Speaker 1: because it was taking some people as much as thirty

447
00:25:26,640 --> 00:25:28,840
Speaker 1: hours to get through when it wasn't that much ever,

448
00:25:29,119 --> 00:25:31,680
Speaker 1: like a like thirty minutes at most. The head of

449
00:25:31,720 --> 00:25:35,040
Speaker 1: agriculture in Texas. If I know Texas, there's probably some

450
00:25:35,280 --> 00:25:39,080
Speaker 1: socialist leftist so that's probably where that attack has come.

451
00:25:40,080 --> 00:25:44,479
Speaker 1: Republicans his birth baby. And he's even out because I'm

452
00:25:44,520 --> 00:25:47,399
Speaker 1: sure because this this is the funny thing, this whole decision, right,

453
00:25:47,720 --> 00:25:50,320
Speaker 1: they've pointed the Fresh Produce Association of the Americans were like,

454
00:25:50,440 --> 00:25:52,960
Speaker 1: because of all this ship that like was rotting at

455
00:25:53,000 --> 00:25:56,200
Speaker 1: the border. There was about two forty million dollars in

456
00:25:56,400 --> 00:26:00,280
Speaker 1: losses because of ship that expired because of this dupid

457
00:26:00,359 --> 00:26:03,440
Speaker 1: fucking stunt Greg Abbott put was trying to pull. And

458
00:26:03,520 --> 00:26:06,159
Speaker 1: now they're saying, and now, so prices are gonna go

459
00:26:06,400 --> 00:26:09,639
Speaker 1: up because the supply chain issues are only exacerbated by that,

460
00:26:09,680 --> 00:26:11,159
Speaker 1: and they think, you know, it's going to take at

461
00:26:11,240 --> 00:26:12,800
Speaker 1: least a couple of weeks for it to kind of

462
00:26:12,920 --> 00:26:17,280
Speaker 1: work itself out again. So with this one decision, Abbott

463
00:26:17,440 --> 00:26:20,639
Speaker 1: created the optics that Biden was ushering in like drugs

464
00:26:20,720 --> 00:26:23,399
Speaker 1: and weapons at the border, then made himself look like

465
00:26:23,480 --> 00:26:26,119
Speaker 1: he was solving a problem, and then the congestion that

466
00:26:26,240 --> 00:26:28,560
Speaker 1: he created was sucking up the supply chain so bad.

467
00:26:28,800 --> 00:26:32,200
Speaker 1: He can now just blame high prices on Biden, right,

468
00:26:32,720 --> 00:26:36,600
Speaker 1: Like it's like a fucking trifecta basically. And you know,

469
00:26:36,760 --> 00:26:39,520
Speaker 1: for those of his instituents who are hearing what he

470
00:26:39,640 --> 00:26:42,199
Speaker 1: has to say, they're like, that makes sense. We had

471
00:26:42,280 --> 00:26:45,600
Speaker 1: to do all that. Yeah, there's a lot of a

472
00:26:45,680 --> 00:26:48,560
Speaker 1: lot of high prices going on with the thanks a

473
00:26:48,600 --> 00:26:53,520
Speaker 1: lot Brandon stickers go going up on the gas pumps. Yeah,

474
00:26:54,040 --> 00:26:56,960
Speaker 1: people have to improvised their own too. I saw some

475
00:26:57,080 --> 00:26:59,639
Speaker 1: posts on the Internet where people just like using sharpie's

476
00:26:59,680 --> 00:27:01,960
Speaker 1: on things and they're like, you didn't you couldn't get

477
00:27:01,960 --> 00:27:05,440
Speaker 1: the sticker, Like no, just riding Thanks Biden on the

478
00:27:05,520 --> 00:27:08,879
Speaker 1: gas bom. Partially, they're right in the sense that like

479
00:27:09,200 --> 00:27:12,440
Speaker 1: he's not gonna do ship to corporations to make them

480
00:27:12,520 --> 00:27:16,359
Speaker 1: like rain in the prices because of who he is

481
00:27:16,440 --> 00:27:19,480
Speaker 1: and who the Democratic Party is. But it just feels

482
00:27:19,560 --> 00:27:24,159
Speaker 1: like and their solution is Donald Trump or Rond de

483
00:27:24,200 --> 00:27:26,840
Speaker 1: santas well. That's I think that's the beauty of those

484
00:27:26,880 --> 00:27:29,439
Speaker 1: like conservative troll moves or the like Thanks Joe Biden,

485
00:27:29,480 --> 00:27:33,040
Speaker 1: where like he could explain like why it's not his fault,

486
00:27:33,080 --> 00:27:34,280
Speaker 1: but then he has to kind of give up the

487
00:27:34,280 --> 00:27:38,080
Speaker 1: ghost on capitalism, So like what's gonna do, Like coherently

488
00:27:38,119 --> 00:27:40,520
Speaker 1: explain what all the market forces are and that you're

489
00:27:40,560 --> 00:27:43,560
Speaker 1: beholding to as president. Doubt it. So just shut up

490
00:27:43,680 --> 00:27:46,560
Speaker 1: and then you know Barrett rather him coming out being like,

491
00:27:46,880 --> 00:27:49,359
Speaker 1: you know what, Actually it's time to fucking tax the

492
00:27:49,400 --> 00:27:52,920
Speaker 1: funk out these gas companies. That's that's actually the solution here.

493
00:27:53,000 --> 00:27:56,320
Speaker 1: But it's we're not there yet. Biden should bring back

494
00:27:56,400 --> 00:28:04,480
Speaker 1: Thanks Obama? Yeah one what time? Yeah, just like, yeah,

495
00:28:04,800 --> 00:28:06,639
Speaker 1: thank me, thank that fool dude. I didn't do that.

496
00:28:06,640 --> 00:28:09,840
Speaker 1: I don't know nothing. Yeah what year you in? Man?

497
00:28:10,040 --> 00:28:13,800
Speaker 1: You have even no history. It's Obama, not me. It's

498
00:28:13,840 --> 00:28:17,760
Speaker 1: all it always has been. Yeah, since at least the fifties.

499
00:28:21,040 --> 00:28:23,920
Speaker 1: Oh my guys. Jen Saki comes out the Press secretary, like,

500
00:28:24,280 --> 00:28:25,879
Speaker 1: what do you have to say to consumers with the

501
00:28:26,000 --> 00:28:28,639
Speaker 1: rising prices? Honestly they need to We need to be

502
00:28:28,720 --> 00:28:31,480
Speaker 1: looking at Barack Obama. That's what I say. This is

503
00:28:31,480 --> 00:28:34,960
Speaker 1: all Obama. We knew this though, you need to do it.

504
00:28:35,080 --> 00:28:37,200
Speaker 1: I hate to do it. But yeah, isn't the firm

505
00:28:37,280 --> 00:28:40,680
Speaker 1: she's going to work for, Saki, isn't it like as involved,

506
00:28:42,320 --> 00:28:44,360
Speaker 1: or maybe maybe it was a thing that she also

507
00:28:45,040 --> 00:28:48,160
Speaker 1: like had consulted for before. But they're involved in like

508
00:28:48,280 --> 00:28:51,520
Speaker 1: some union busting on some of the Amazon union busting ship.

509
00:28:51,720 --> 00:28:53,840
Speaker 1: Oh yeah, there there is a firm that, yeah, on

510
00:28:53,960 --> 00:28:57,680
Speaker 1: one hand is like helping like labor like unions, and

511
00:28:57,760 --> 00:29:00,800
Speaker 1: the other consults low key with companies on how to

512
00:29:00,920 --> 00:29:05,680
Speaker 1: bust unions. Think it was that's what. That's it. It's

513
00:29:05,760 --> 00:29:08,000
Speaker 1: like the dude from Catch Me if you can, you know,

514
00:29:08,400 --> 00:29:10,920
Speaker 1: he's like, all right, I know the unions better than anyone.

515
00:29:11,520 --> 00:29:13,600
Speaker 1: I'll show you how to funk them up. I just

516
00:29:13,720 --> 00:29:18,720
Speaker 1: remember seeing reading her statement on the Amazon like union

517
00:29:19,000 --> 00:29:24,080
Speaker 1: unionization victory, and it just read like it was coming

518
00:29:24,200 --> 00:29:28,640
Speaker 1: through the most clenched of teeth, like we're really happy

519
00:29:28,800 --> 00:29:31,440
Speaker 1: for them, and like it was just did not did

520
00:29:31,520 --> 00:29:37,440
Speaker 1: not feel very celebratory, like it's so good to see

521
00:29:37,480 --> 00:29:41,720
Speaker 1: a collector actually working for the benefit of workers across

522
00:29:41,920 --> 00:29:48,680
Speaker 1: the country. All right, let's talk about Florida. So the

523
00:29:49,240 --> 00:29:54,040
Speaker 1: Texas and Florida. You know, it's the red state off

524
00:29:54,280 --> 00:29:57,080
Speaker 1: between the two, and the state of Florida has just

525
00:29:57,200 --> 00:30:00,360
Speaker 1: rejected a slate of new math books because as they're

526
00:30:00,440 --> 00:30:05,760
Speaker 1: making white kids feel bad. I guess I I don't

527
00:30:05,760 --> 00:30:09,640
Speaker 1: even know how this is the most confounding headline i've read.

528
00:30:09,680 --> 00:30:12,800
Speaker 1: So they say that the rejected books quote make up

529
00:30:12,800 --> 00:30:16,440
Speaker 1: a record the hundred thirty two books submitted for review

530
00:30:16,760 --> 00:30:20,760
Speaker 1: by the Florida Department of Education. So of those rejected

531
00:30:20,800 --> 00:30:25,320
Speaker 1: because they quote incorporate prohibited topics are unsolicited strategies, including

532
00:30:25,400 --> 00:30:30,040
Speaker 1: critical race theory. They go on to like define kind

533
00:30:30,080 --> 00:30:32,840
Speaker 1: of like what the problematic things were with some of

534
00:30:32,920 --> 00:30:36,960
Speaker 1: these books, that the submitted textbooks were impermissible because of

535
00:30:37,040 --> 00:30:41,040
Speaker 1: prohibited topics such as critical race theory, inclusions of common Core,

536
00:30:41,120 --> 00:30:43,720
Speaker 1: which is like more of nationalized standard of education that

537
00:30:43,840 --> 00:30:45,440
Speaker 1: Florida is like, we don't want anything to do with

538
00:30:45,520 --> 00:30:50,200
Speaker 1: something standardized, and they also like unsolicited edition of social

539
00:30:50,320 --> 00:30:54,880
Speaker 1: emotional learning in mathematics. I'm okay this, these must be

540
00:30:55,000 --> 00:30:58,160
Speaker 1: really interesting new new age textbooks. And then yeah, they

541
00:30:58,200 --> 00:31:00,280
Speaker 1: go on to just sort of break down all these

542
00:31:00,320 --> 00:31:04,480
Speaker 1: different things of like what materials are rejected of K

543
00:31:04,640 --> 00:31:09,600
Speaker 1: through five materials were rejected of six through eighth grade

544
00:31:09,840 --> 00:31:14,640
Speaker 1: materials were rejected of high school materials were rejected And

545
00:31:14,800 --> 00:31:17,600
Speaker 1: at the end of it, like Rhonda Santis is talking

546
00:31:17,680 --> 00:31:20,000
Speaker 1: about saying, like, oh, it's quote. It seems that some

547
00:31:20,120 --> 00:31:22,520
Speaker 1: publishers attempted to slap a code of paint on an

548
00:31:22,560 --> 00:31:25,320
Speaker 1: old house built on the foundation of common core and

549
00:31:25,400 --> 00:31:30,880
Speaker 1: indoctrinating concepts like race essentialism, especially bizarrely for elementary school kids.

550
00:31:31,440 --> 00:31:34,960
Speaker 1: I'm grateful the commissioner blah blah blah. So again, I

551
00:31:35,040 --> 00:31:39,120
Speaker 1: have not been in classroom studying math like that in

552
00:31:39,320 --> 00:31:43,239
Speaker 1: years now, but I don't Everything was always like, Yo,

553
00:31:43,400 --> 00:31:46,200
Speaker 1: this motherfucker's you know, has eight apples and you know

554
00:31:46,240 --> 00:31:48,040
Speaker 1: they're trying to sell it for this much. Those are

555
00:31:48,040 --> 00:31:50,040
Speaker 1: the kinds of examples are they now having kids? Like

556
00:31:50,200 --> 00:31:53,560
Speaker 1: balance police department budgets and then say like where the

557
00:31:53,640 --> 00:31:58,040
Speaker 1: excess can go? Caleb has ten black friends dealing with depression?

558
00:32:00,280 --> 00:32:06,920
Speaker 1: How many therapists aren't available on Wednesday? Right? Exactly? Like

559
00:32:07,080 --> 00:32:10,480
Speaker 1: really breaking down things like generational trauma is said to

560
00:32:10,680 --> 00:32:14,160
Speaker 1: last for centuries if this person was born in this year,

561
00:32:14,160 --> 00:32:15,880
Speaker 1: I don't know. Again, I don't even know how they're

562
00:32:15,960 --> 00:32:19,440
Speaker 1: useful or how they many children will they have to

563
00:32:19,520 --> 00:32:27,840
Speaker 1: have and forced to play basketball for their own dreams

564
00:32:27,880 --> 00:32:30,920
Speaker 1: to feel like they've been fulfilled. Please write that down.

565
00:32:31,400 --> 00:32:34,560
Speaker 1: But this is just kind of continuation of they're just

566
00:32:34,640 --> 00:32:39,280
Speaker 1: now even being like math books are fucking off, like

567
00:32:39,960 --> 00:32:44,120
Speaker 1: this is this is now suspected contraband because a math

568
00:32:44,240 --> 00:32:47,120
Speaker 1: book and again like we're saying we don't we can't

569
00:32:47,120 --> 00:32:51,720
Speaker 1: even see the fucking examples, right, that's right, because it does.

570
00:32:51,880 --> 00:32:55,640
Speaker 1: It does like throwing critical race theory with comcore, which

571
00:32:55,720 --> 00:32:58,880
Speaker 1: could be a very dry, like bureaucratic, like you know,

572
00:32:59,000 --> 00:33:03,120
Speaker 1: push back. Social emotional learning is like at the forefront

573
00:33:03,160 --> 00:33:06,840
Speaker 1: of like you know, childhood education. So I can see

574
00:33:06,880 --> 00:33:09,760
Speaker 1: the Republicans objection to that on the basis of it

575
00:33:09,920 --> 00:33:15,280
Speaker 1: being right or you know, being taking people's feelings into

576
00:33:15,360 --> 00:33:18,280
Speaker 1: account for sure. Yeah, we can't have empathetic human beings

577
00:33:18,680 --> 00:33:21,480
Speaker 1: right in this country. Yeah, we do end up sucking

578
00:33:21,560 --> 00:33:25,400
Speaker 1: pulling up for each other. No, that man, The alternatives

579
00:33:25,440 --> 00:33:29,520
Speaker 1: they're facing so often are like the between these two

580
00:33:29,640 --> 00:33:35,600
Speaker 1: stories are stunts that get media attention while also like

581
00:33:35,880 --> 00:33:38,240
Speaker 1: hurting the people that they're supposed to be. It is

582
00:33:38,280 --> 00:33:41,000
Speaker 1: a service like this, this is like that, This sounds

583
00:33:41,040 --> 00:33:44,760
Speaker 1: like a fucking bureaucratic nightmare to like be this far along,

584
00:33:44,880 --> 00:33:47,320
Speaker 1: have these books printed up and then reject forty one

585
00:33:47,360 --> 00:33:49,840
Speaker 1: per cent of them and then like you got like

586
00:33:50,320 --> 00:33:53,840
Speaker 1: food rotting in trucks and ship like that's that's not

587
00:33:54,040 --> 00:33:57,520
Speaker 1: good for anyone. But it's like how they get headlines

588
00:33:57,800 --> 00:34:01,520
Speaker 1: is learning the lesson of the Trump administration, which is

589
00:34:01,560 --> 00:34:04,120
Speaker 1: just like being very bad at your job in a

590
00:34:04,200 --> 00:34:06,760
Speaker 1: way that will piss off people who are paying attention.

591
00:34:07,200 --> 00:34:10,480
Speaker 1: But we'll seem like you're owning the libs, like right

592
00:34:10,760 --> 00:34:13,719
Speaker 1: to the people who get all their news from Facebook.

593
00:34:13,760 --> 00:34:17,520
Speaker 1: For I'm curious, like, how many you know, agribusiness people

594
00:34:17,600 --> 00:34:21,439
Speaker 1: are like this fucking guy just completely fucked my whole

595
00:34:21,520 --> 00:34:24,359
Speaker 1: month up with this kind of ship. I guess I'll

596
00:34:24,360 --> 00:34:26,279
Speaker 1: support them anyway because I don't like it. I don't

597
00:34:26,280 --> 00:34:29,120
Speaker 1: like progress, so fuck it. I guess it's you gotta

598
00:34:29,160 --> 00:34:30,880
Speaker 1: take the good with the bad. But I'm curious, like

599
00:34:30,960 --> 00:34:34,040
Speaker 1: with Florida, because isn't Texas like the state that basically

600
00:34:34,160 --> 00:34:36,960
Speaker 1: runs the board for fucking all textbooks, like because of

601
00:34:37,000 --> 00:34:40,840
Speaker 1: their outsized like the amount of Texas, Like is this

602
00:34:40,920 --> 00:34:42,680
Speaker 1: going to start a thing where like some of these

603
00:34:42,760 --> 00:34:45,280
Speaker 1: books came from Texas and they're like, we're not putting

604
00:34:45,320 --> 00:34:48,680
Speaker 1: no fucking crt in our mouth books, How fucking dare you?

605
00:34:48,880 --> 00:34:51,320
Speaker 1: And now they're at odds with each other. It's just

606
00:34:51,440 --> 00:34:53,400
Speaker 1: a very I don't think a lot of people are

607
00:34:53,400 --> 00:34:55,000
Speaker 1: gonna get hurt on the I think the theory on

608
00:34:55,080 --> 00:34:58,439
Speaker 1: the Texas thing is that like they because they make

609
00:34:58,920 --> 00:35:02,880
Speaker 1: such big purchasing decisions, it's like they're thinking about, like

610
00:35:03,160 --> 00:35:06,359
Speaker 1: you know, any sort of business. There's these people who

611
00:35:06,400 --> 00:35:11,759
Speaker 1: are making textbooks and they are getting approved by this

612
00:35:12,000 --> 00:35:16,200
Speaker 1: like one board at the state level, and so you know,

613
00:35:16,640 --> 00:35:19,080
Speaker 1: you like the way that a Hollywood studio is going

614
00:35:19,120 --> 00:35:20,520
Speaker 1: to be like, well, we don't want to piss off

615
00:35:21,040 --> 00:35:26,520
Speaker 1: China with our like Marvel Movie, are gay Dumbledore? Right exactly?

616
00:35:27,080 --> 00:35:31,680
Speaker 1: The textbookmakers are are that way with big states like Texas.

617
00:35:32,040 --> 00:35:35,680
Speaker 1: And I'm also assuming Florida, Like Florida is a massive

618
00:35:35,719 --> 00:35:39,080
Speaker 1: state with a massive population. So yeah, I think I

619
00:35:39,160 --> 00:35:41,560
Speaker 1: think it holds like across that, like they're going to

620
00:35:41,640 --> 00:35:46,000
Speaker 1: be heavily influential. And it's almost like capitalism doesn't work

621
00:35:46,440 --> 00:35:50,120
Speaker 1: if you have like these systems where it's just like

622
00:35:50,280 --> 00:35:53,600
Speaker 1: what whatever the biggest market says, like that's that's who

623
00:35:53,680 --> 00:35:56,239
Speaker 1: we have to please. There else we're gonna like go

624
00:35:56,640 --> 00:35:59,040
Speaker 1: have all these books that we have to trash and

625
00:35:59,200 --> 00:36:02,879
Speaker 1: like reprint. Mm hmm, yeah, it just it sounds sounds bad.

626
00:36:04,239 --> 00:36:07,680
Speaker 1: They just started being like Donald Trump only needs five

627
00:36:07,800 --> 00:36:11,840
Speaker 1: Electoral College votes to win the presidency and they're just like,

628
00:36:12,680 --> 00:36:14,800
Speaker 1: that's how they're going to realign, like the textbooks to

629
00:36:14,920 --> 00:36:17,120
Speaker 1: just reinforce that kind of ship, and they, I don't know,

630
00:36:17,520 --> 00:36:20,920
Speaker 1: yeh mhmm. Yeah, well we'll see what the future is.

631
00:36:21,000 --> 00:36:22,879
Speaker 1: I mean, like it's it's it's just it's just wild

632
00:36:22,920 --> 00:36:28,080
Speaker 1: to even look at now in they're even vilifying math

633
00:36:28,200 --> 00:36:32,000
Speaker 1: books like if they can't, well that's how they get you.

634
00:36:32,480 --> 00:36:34,279
Speaker 1: It's about time we was done with math as a

635
00:36:34,320 --> 00:36:40,680
Speaker 1: country anyway, right, let's just stop pretending math. Yeah, I

636
00:36:40,760 --> 00:36:42,560
Speaker 1: feel like and that's like it kind of feels like

637
00:36:42,800 --> 00:36:45,879
Speaker 1: a very American cultural thing to be. Like I saw

638
00:36:45,920 --> 00:36:47,799
Speaker 1: a tweet that blow up yesterday. It's like, Hi, I'm

639
00:36:48,040 --> 00:36:50,600
Speaker 1: thirty something years old, and I'm proud to say I

640
00:36:50,680 --> 00:36:54,680
Speaker 1: still have not used algebra like that, there's always like

641
00:36:54,760 --> 00:36:57,560
Speaker 1: this hostility to the math I think in the country

642
00:36:57,640 --> 00:37:00,759
Speaker 1: already though, you know what I mean. So yeah, maybe

643
00:37:00,760 --> 00:37:03,480
Speaker 1: you might, you might be onto something tomorrow. It's going away.

644
00:37:04,040 --> 00:37:07,040
Speaker 1: We're getting we're gonna be done with math like fuck,

645
00:37:07,640 --> 00:37:09,520
Speaker 1: Like I mean, the fucking I mean, we know how

646
00:37:09,520 --> 00:37:12,560
Speaker 1: to use a Cala calculator. That's all you fucking need.

647
00:37:12,600 --> 00:37:15,040
Speaker 1: I feel like that's the most math American people like

648
00:37:15,160 --> 00:37:17,239
Speaker 1: to engage with, which is like, why do I need

649
00:37:17,280 --> 00:37:20,680
Speaker 1: to know this? If I can put this mental thing

650
00:37:20,800 --> 00:37:24,600
Speaker 1: onto my device or whatever. You never know when you're

651
00:37:24,600 --> 00:37:26,840
Speaker 1: gonna be out in the woods. You know, your devices

652
00:37:26,840 --> 00:37:28,440
Speaker 1: are gonna be out of batteries and you're gonna have

653
00:37:28,520 --> 00:37:32,000
Speaker 1: to do long division to save your life doing remainders

654
00:37:32,080 --> 00:37:35,320
Speaker 1: on some bark. Yeah, I feel like that is like

655
00:37:35,400 --> 00:37:39,000
Speaker 1: everything I needed to know about like adult life. You

656
00:37:39,200 --> 00:37:41,600
Speaker 1: you learned from like your teachers not letting you use

657
00:37:41,680 --> 00:37:45,279
Speaker 1: calculators on math tests. Like it's like, well I had

658
00:37:45,320 --> 00:37:47,200
Speaker 1: to do it this way, and it's like, oh so

659
00:37:47,680 --> 00:37:52,080
Speaker 1: we'll we'll never get student loan debt forgiven? Will well?

660
00:37:52,280 --> 00:37:54,720
Speaker 1: You know, but no, Jack, just wait for the polls,

661
00:37:55,080 --> 00:37:57,320
Speaker 1: wait for the polls to drop low enough, and you know,

662
00:37:57,880 --> 00:38:01,120
Speaker 1: big Daddy Biden's in a smoke bomb that fucking student

663
00:38:01,200 --> 00:38:03,640
Speaker 1: that ship to try and you know, salvagees on as.

664
00:38:03,800 --> 00:38:05,040
Speaker 1: I feel like that's the only time we're going to

665
00:38:05,080 --> 00:38:07,480
Speaker 1: see ship like this. What percentage you think he's waiting for?

666
00:38:07,760 --> 00:38:09,920
Speaker 1: You think he's like high twenties, and then you can

667
00:38:10,000 --> 00:38:13,080
Speaker 1: be like, I mean because what it's been pushed to August,

668
00:38:14,239 --> 00:38:16,880
Speaker 1: and that's giving you with three months a couple of

669
00:38:16,960 --> 00:38:20,680
Speaker 1: months before the election. I don't know, because I think,

670
00:38:20,800 --> 00:38:22,759
Speaker 1: you know, the thing they're always contending against is like

671
00:38:22,840 --> 00:38:25,920
Speaker 1: the memory of of American voters, where it's like you

672
00:38:25,960 --> 00:38:28,439
Speaker 1: could have done ship like literally like three months before

673
00:38:28,440 --> 00:38:31,320
Speaker 1: the election, people like I don't know, was it whose president?

674
00:38:31,360 --> 00:38:33,759
Speaker 1: I don't know where you could like do that good

675
00:38:33,840 --> 00:38:36,960
Speaker 1: thing and then like use that to create momentum to

676
00:38:37,040 --> 00:38:41,040
Speaker 1: do more good things instead of just everybody thinking we

677
00:38:41,120 --> 00:38:42,920
Speaker 1: have to stop talking about good things because good things

678
00:38:43,000 --> 00:38:47,880
Speaker 1: to us means completely dismantling capitalism. You know, So they

679
00:38:47,920 --> 00:38:50,200
Speaker 1: can't do too many good things because they're like, what

680
00:38:50,239 --> 00:38:52,360
Speaker 1: do you mean, like you've broke people like a piece

681
00:38:52,680 --> 00:38:54,879
Speaker 1: no funk that I'm just talking about if we're talking

682
00:38:54,920 --> 00:38:57,239
Speaker 1: about electoral politics, I'm just talking about things that would

683
00:38:57,280 --> 00:39:00,400
Speaker 1: make him incredibly popular, right. But that's the thing I mean,

684
00:39:00,440 --> 00:39:02,000
Speaker 1: like that's what we always see, right, even like we're

685
00:39:02,000 --> 00:39:05,439
Speaker 1: talking about student debt. There's this recent article talking about

686
00:39:05,480 --> 00:39:08,719
Speaker 1: how he had, you know, his advisor's research, what he

687
00:39:08,840 --> 00:39:11,879
Speaker 1: was capable of doing through by executive order to really

688
00:39:12,160 --> 00:39:15,800
Speaker 1: for student debt relief. He got the answer in early

689
00:39:15,920 --> 00:39:20,080
Speaker 1: April and has not told people, like, has not been

690
00:39:20,160 --> 00:39:23,400
Speaker 1: forthcoming with what the findings were of that, and that's

691
00:39:23,440 --> 00:39:30,560
Speaker 1: everyone's like telling, yea, But meanwhile, you're just causing untold

692
00:39:30,560 --> 00:39:33,719
Speaker 1: amounts of stress because you're playing a fucking game to

693
00:39:33,960 --> 00:39:38,239
Speaker 1: be old, oldest man in a shitty house. Right, all right,

694
00:39:38,320 --> 00:39:41,920
Speaker 1: let's take a quick break. We'll come back talk cabin fever,

695
00:39:52,960 --> 00:39:56,880
Speaker 1: and we're back. So there's there's kind of a broad

696
00:39:56,920 --> 00:40:01,640
Speaker 1: consensus among scientists and anyone who flown on a passenger

697
00:40:01,760 --> 00:40:04,239
Speaker 1: plane over the past twelve months that people don't know

698
00:40:04,320 --> 00:40:08,839
Speaker 1: how to act anymore. And like there there's the thick

699
00:40:08,880 --> 00:40:12,400
Speaker 1: of the children take off your masks like kind of

700
00:40:12,560 --> 00:40:14,160
Speaker 1: thing that I feel like every time I hear it.

701
00:40:14,320 --> 00:40:16,680
Speaker 1: I'm just thinking of like right wing creeps who think

702
00:40:16,760 --> 00:40:19,480
Speaker 1: everyone on the left is a is like trying to

703
00:40:19,560 --> 00:40:23,200
Speaker 1: steal their kid and like as a child like trafficker

704
00:40:23,320 --> 00:40:27,000
Speaker 1: or some ship. But I do think that there's got

705
00:40:27,160 --> 00:40:32,640
Speaker 1: to be something to like kids not seeing faces for

706
00:40:32,800 --> 00:40:35,800
Speaker 1: a healthy chunk of their development mixed in with the

707
00:40:35,880 --> 00:40:40,560
Speaker 1: isolation of lockdown periods, like it has to have an impact, right,

708
00:40:41,239 --> 00:40:43,480
Speaker 1: Like in the same way that like the movies and

709
00:40:43,600 --> 00:40:46,400
Speaker 1: TV I watched as a kid to have an impact

710
00:40:46,520 --> 00:40:48,560
Speaker 1: like that, ship has to have an impact, like that's

711
00:40:48,600 --> 00:40:51,840
Speaker 1: just ship. They're taken off. I mean it. Yeah, I

712
00:40:52,120 --> 00:40:54,680
Speaker 1: think we think developmental experts have said, like, you're not

713
00:40:54,880 --> 00:40:57,200
Speaker 1: if kids aren't seeing the full range of emotions because

714
00:40:57,200 --> 00:41:00,960
Speaker 1: they only see like half a face, that can that's

715
00:41:00,960 --> 00:41:04,239
Speaker 1: not optimal. I don't know exactly what the full like

716
00:41:04,400 --> 00:41:08,160
Speaker 1: what the fallout exactly is, but no, I mean I've

717
00:41:08,239 --> 00:41:10,200
Speaker 1: heard that before you and I feel like kids coming

718
00:41:10,200 --> 00:41:12,520
Speaker 1: out of college to like some of the ship they

719
00:41:12,520 --> 00:41:14,440
Speaker 1: had to put up with with like being in dorms

720
00:41:14,600 --> 00:41:18,880
Speaker 1: and then like the lockdown protocols on college campuses and

721
00:41:19,840 --> 00:41:25,480
Speaker 1: that being enforced by you know, often very shitty institutions

722
00:41:25,800 --> 00:41:29,239
Speaker 1: like that don't have your best interests in mind. I

723
00:41:29,320 --> 00:41:33,000
Speaker 1: don't know, it feels it feels like not a great

724
00:41:33,320 --> 00:41:37,720
Speaker 1: situation mentally, And I don't know, I hear it raised

725
00:41:38,320 --> 00:41:43,040
Speaker 1: like everywhere from the you know, Will Smith slapping Chris

726
00:41:43,239 --> 00:41:47,600
Speaker 1: Rock to coverage of sports too. Yeah, just like everywhere.

727
00:41:48,320 --> 00:41:52,520
Speaker 1: Well Will Smith was losing his mind before COVID, So right,

728
00:41:52,560 --> 00:41:54,800
Speaker 1: I think I think, you know, we can mark that

729
00:41:54,920 --> 00:41:59,600
Speaker 1: at about team really, but it is feel it does

730
00:41:59,760 --> 00:42:02,200
Speaker 1: know there is that. I mean, I've experienced it myself.

731
00:42:02,280 --> 00:42:04,080
Speaker 1: The first thing I had, one of the first public

732
00:42:04,200 --> 00:42:07,919
Speaker 1: things I did out of like Lockdown, I got reprimanded

733
00:42:08,000 --> 00:42:10,840
Speaker 1: by the Staples Center to security staff because I was

734
00:42:10,960 --> 00:42:13,040
Speaker 1: didn't know how to stop yelling at the top of

735
00:42:13,120 --> 00:42:18,719
Speaker 1: my lungs harassing players. And I did. I definitely every

736
00:42:18,840 --> 00:42:21,120
Speaker 1: time I've done, like I just saw a movie for them.

737
00:42:21,160 --> 00:42:25,919
Speaker 1: I went to the movie theater over the weekend. Okay, yeah,

738
00:42:26,120 --> 00:42:28,960
Speaker 1: you know, I did. What did? Oh it's looking amazing.

739
00:42:30,440 --> 00:42:33,839
Speaker 1: But like even there, when I find myself doing these things,

740
00:42:34,040 --> 00:42:36,400
Speaker 1: there's this like weird energy that comes over me, like

741
00:42:36,520 --> 00:42:38,719
Speaker 1: an excitement or something like I feel like a kid

742
00:42:39,080 --> 00:42:40,920
Speaker 1: whatever it is. And I don't know if it's excitement.

743
00:42:40,920 --> 00:42:43,440
Speaker 1: I don't know if it's cabin fever, but my body

744
00:42:43,560 --> 00:42:46,239
Speaker 1: knows like, oh, you're doing that old ship again. M hm,

745
00:42:46,640 --> 00:42:48,560
Speaker 1: Like you're you're out there, You're you're you're doing some

746
00:42:49,239 --> 00:42:52,200
Speaker 1: like we're doing nineteen type stuff. And I do feel

747
00:42:52,239 --> 00:42:54,480
Speaker 1: that there is I I know there's some kind of

748
00:42:54,640 --> 00:42:57,319
Speaker 1: energy swirling in the back. I don't know what it is, though. Yeah,

749
00:42:57,880 --> 00:43:00,560
Speaker 1: there's this like there's an article and and cb I

750
00:43:01,120 --> 00:43:03,920
Speaker 1: or the nih dot Gov where they like kind of

751
00:43:03,960 --> 00:43:08,120
Speaker 1: went through a handful of different things on this subject,

752
00:43:08,920 --> 00:43:11,200
Speaker 1: and they come out and say, like, it's not a

753
00:43:11,280 --> 00:43:14,520
Speaker 1: medic it's not a medically defined condition. It's a folk

754
00:43:14,640 --> 00:43:18,600
Speaker 1: syndrome commonly understood to refer to a bunch of different,

755
00:43:19,080 --> 00:43:24,000
Speaker 1: you know, symptoms like anxiety, irritability, moodiness, boredom. The thing

756
00:43:24,040 --> 00:43:26,800
Speaker 1: about like it feeling like you're a kid, because like

757
00:43:26,920 --> 00:43:30,640
Speaker 1: you're just coming coming in fresh like that. That seems

758
00:43:30,680 --> 00:43:35,680
Speaker 1: to like I had I've witnessed things on like an airplane,

759
00:43:35,760 --> 00:43:38,960
Speaker 1: for instance, a woman sitting next to me, who, yeah,

760
00:43:39,000 --> 00:43:41,120
Speaker 1: it just seemed like, all of a sudden, very like

761
00:43:41,360 --> 00:43:44,759
Speaker 1: childlike and like chatty, and but also like it was

762
00:43:44,920 --> 00:43:47,960
Speaker 1: like I don't know, just it was like everything that

763
00:43:48,040 --> 00:43:49,960
Speaker 1: went through her mind was coming out of her mouth

764
00:43:50,200 --> 00:43:53,319
Speaker 1: to like everyone too, and it was it was very

765
00:43:53,400 --> 00:43:56,319
Speaker 1: close to becoming a situation where like I was gonna

766
00:43:56,480 --> 00:44:01,000
Speaker 1: witness somebody firsthand get like taped to their seat which ship,

767
00:44:01,080 --> 00:44:03,839
Speaker 1: which seems to be a trend that they're just like, yeah,

768
00:44:03,920 --> 00:44:07,000
Speaker 1: this is just how we deal with this now. And

769
00:44:07,080 --> 00:44:11,040
Speaker 1: it would have been funnier, but you know, it's it's scary, man.

770
00:44:11,360 --> 00:44:14,160
Speaker 1: You know your kids are right there seeing somebody like

771
00:44:14,360 --> 00:44:17,120
Speaker 1: almost get into a fist fight with somebody who thought

772
00:44:17,280 --> 00:44:19,840
Speaker 1: they think like I think looked wrong at them or

773
00:44:19,920 --> 00:44:23,200
Speaker 1: some ship and yeah as wild. But anyways, this ni

774
00:44:23,400 --> 00:44:28,160
Speaker 1: H article, I don't know, it's like pull some things together.

775
00:44:28,800 --> 00:44:31,799
Speaker 1: Just like that, we're seeing like a rise in loneliness

776
00:44:32,040 --> 00:44:35,280
Speaker 1: and anxiety and depression and self harm and suicide attempts.

777
00:44:35,600 --> 00:44:38,279
Speaker 1: But but that ship, like much like will Smith, like

778
00:44:38,400 --> 00:44:41,719
Speaker 1: that that ship was already like going going in that

779
00:44:41,880 --> 00:44:48,640
Speaker 1: direction problems, right Like, So I don't know, I I

780
00:44:48,800 --> 00:44:51,640
Speaker 1: think something they're not really pulling in at least in

781
00:44:51,719 --> 00:44:54,320
Speaker 1: this survey. Maybe it like comes out in the individual

782
00:44:54,840 --> 00:44:57,960
Speaker 1: articles that they're referring to that I did not pay for.

783
00:44:58,520 --> 00:45:03,560
Speaker 1: But we are already in a period of profound loneliness

784
00:45:03,680 --> 00:45:09,560
Speaker 1: due to the fact that like all of our social networks,

785
00:45:09,760 --> 00:45:13,440
Speaker 1: like social groups, like the things that used to define

786
00:45:13,880 --> 00:45:16,640
Speaker 1: you know, human interaction and have been like infiltrated by

787
00:45:17,400 --> 00:45:22,160
Speaker 1: social media and like branding and marketing like that, right

788
00:45:22,520 --> 00:45:26,080
Speaker 1: that has poisoned the well to a large degree that

789
00:45:26,320 --> 00:45:29,719
Speaker 1: I think we're only slowly like kind of coming to

790
00:45:29,920 --> 00:45:32,680
Speaker 1: terms with. Yeah, it's it feels like, yeah, like the

791
00:45:32,760 --> 00:45:36,040
Speaker 1: same kind of stories where like you're saying, is this

792
00:45:36,280 --> 00:45:39,840
Speaker 1: really like I get that the pandemics exacerbating things, but

793
00:45:40,040 --> 00:45:42,800
Speaker 1: are we, like is what are we focusing on a

794
00:45:43,360 --> 00:45:46,560
Speaker 1: like one segment of a larger thing. You know, I

795
00:45:46,600 --> 00:45:49,760
Speaker 1: would say we are like fail the most recent chunk

796
00:45:49,800 --> 00:45:53,080
Speaker 1: of a bigger problem, which is like all of these

797
00:45:53,320 --> 00:45:57,040
Speaker 1: like societal ills people are experiencing. And the then and

798
00:45:57,120 --> 00:46:00,839
Speaker 1: Ich article has like the you know, technocrat like kind

799
00:46:00,880 --> 00:46:03,239
Speaker 1: of positive spin where it's like, fortunately, we know that

800
00:46:03,320 --> 00:46:06,600
Speaker 1: there are several potentially antidotes to cabin fever, but it's

801
00:46:06,680 --> 00:46:11,520
Speaker 1: like accessing outdoor space, you know, social connectedness, working as

802
00:46:11,560 --> 00:46:14,080
Speaker 1: a crew, setting goals and purpose for each day, like

803
00:46:14,200 --> 00:46:18,480
Speaker 1: some pretty standard things that like you hear in mental

804
00:46:18,560 --> 00:46:22,799
Speaker 1: health literature, but the the idea that like social connectedness

805
00:46:23,360 --> 00:46:27,320
Speaker 1: and accessing outdoor space are like two of the keys

806
00:46:27,520 --> 00:46:30,400
Speaker 1: to defeating this. And we live in the United States

807
00:46:30,440 --> 00:46:36,279
Speaker 1: of America where like that is almost like prohibited, Like

808
00:46:36,480 --> 00:46:40,560
Speaker 1: it's just so our cities have been built in concrete

809
00:46:40,680 --> 00:46:43,600
Speaker 1: to not have like great outdoor spaces. They've been built

810
00:46:43,640 --> 00:46:49,719
Speaker 1: with scrodes, and and now we have this capitalist, technocratic

811
00:46:49,960 --> 00:46:53,920
Speaker 1: world where they there isn't social connectedness like in the

812
00:46:54,000 --> 00:46:58,000
Speaker 1: way that I think humans were meant to have, and

813
00:46:58,120 --> 00:47:00,959
Speaker 1: that's already like fucking us up. Man, we all should

814
00:47:01,000 --> 00:47:05,080
Speaker 1: have came out of lockdown wearing Fedora's. Like if everybody

815
00:47:05,160 --> 00:47:07,880
Speaker 1: did it, it would have been so much easier to

816
00:47:08,000 --> 00:47:09,719
Speaker 1: make friends again, you know what I'm saying, Like, oh,

817
00:47:10,440 --> 00:47:12,879
Speaker 1: to be sure for Dora, Oh I got mine over

818
00:47:13,239 --> 00:47:18,960
Speaker 1: you know, Hatland or whatever. You no judgment. Yeah, they're like, oh,

819
00:47:19,040 --> 00:47:21,359
Speaker 1: that's a good for Dora too. Before we're like you'd

820
00:47:21,360 --> 00:47:24,640
Speaker 1: see a fedor in like this Fedora wear motherfucker. But

821
00:47:24,719 --> 00:47:28,840
Speaker 1: now you're like, oh, a fellow human. Yeah, if Biden

822
00:47:28,920 --> 00:47:33,840
Speaker 1: had met shipped us one for Dora had with Team

823
00:47:34,520 --> 00:47:40,560
Speaker 1: one mask COVID testament side. Yeah, it's funny, Like so

824
00:47:41,160 --> 00:47:44,120
Speaker 1: often I find myself like during this, you know, when

825
00:47:44,160 --> 00:47:47,520
Speaker 1: I'm trying to like come up with solutions to help

826
00:47:47,880 --> 00:47:51,839
Speaker 1: the version of society we find ourselves in, I'm like, Oh,

827
00:47:52,120 --> 00:47:58,680
Speaker 1: that's authoritarianism. However, authoritarianism to make everybody wear Fedora's. Like

828
00:47:58,840 --> 00:48:01,560
Speaker 1: I feel like that that's not gonna your life and

829
00:48:01,640 --> 00:48:05,839
Speaker 1: get behind that. See what I'm saying, Shift the focus right,

830
00:48:05,960 --> 00:48:11,400
Speaker 1: low stakes authoritarianism, Yeah, exactly. Look, then that's how it

831
00:48:11,480 --> 00:48:14,120
Speaker 1: starts cut to us or like, and then the three

832
00:48:14,239 --> 00:48:18,920
Speaker 1: have decided we must give our blood every Thursday. It

833
00:48:19,080 --> 00:48:23,560
Speaker 1: started office, just give everybody a go, and now we're

834
00:48:23,640 --> 00:48:28,600
Speaker 1: eating your fucking brain. Thank you. Next thing, you know, Yeah,

835
00:48:29,480 --> 00:48:32,719
Speaker 1: this is I mean, I it's it is wild that. Yeah,

836
00:48:32,760 --> 00:48:36,799
Speaker 1: like you're saying the solutions to something that feels so broad,

837
00:48:36,920 --> 00:48:39,959
Speaker 1: like you increase loneliness and isolation or whatever, and people

838
00:48:40,000 --> 00:48:43,439
Speaker 1: are feeling more anxious and like you're saying, it's they're

839
00:48:43,440 --> 00:48:45,279
Speaker 1: really they're just being like, hey, man, get off the

840
00:48:45,400 --> 00:48:51,560
Speaker 1: fucking phone and computer and TV. Go fucking talk to somebody.

841
00:48:52,120 --> 00:48:55,880
Speaker 1: Go outside, experience what it's like to walk by a

842
00:48:56,000 --> 00:48:58,920
Speaker 1: stranger and they're not trying to stab you. Okay, So

843
00:48:59,080 --> 00:49:01,799
Speaker 1: you can begin to give yourself new data to say,

844
00:49:02,200 --> 00:49:05,719
Speaker 1: I don't live in a fucking terrible place where like

845
00:49:05,880 --> 00:49:07,880
Speaker 1: everything is after me all the time. I mean on

846
00:49:08,000 --> 00:49:11,239
Speaker 1: some levels, sure, but in that in that broad like, well,

847
00:49:11,400 --> 00:49:14,000
Speaker 1: everything I've seen on the news says it's all funked up,

848
00:49:14,440 --> 00:49:17,279
Speaker 1: Like go out there, experienced the world, And that's really

849
00:49:17,440 --> 00:49:19,600
Speaker 1: what I'm all I'm seeing from here is the antidote

850
00:49:19,640 --> 00:49:23,919
Speaker 1: to all of this is connect again. Without the help

851
00:49:24,000 --> 00:49:27,000
Speaker 1: of technology, because that's the thing, that's the part that's

852
00:49:27,040 --> 00:49:30,320
Speaker 1: atrophying rapidly, like in all people, or it could be.

853
00:49:30,680 --> 00:49:34,840
Speaker 1: Uh So the author of this ni H survey also

854
00:49:35,040 --> 00:49:38,680
Speaker 1: offers uh they said. One example of creative upstream campaign

855
00:49:38,760 --> 00:49:41,840
Speaker 1: to support young people's mental health is lunch in February

856
00:49:41,920 --> 00:49:44,680
Speaker 1: this year and it's called What's Up with Everyone? I

857
00:49:44,880 --> 00:49:48,359
Speaker 1: lead this project with the Academy Award winning filmmaker behind

858
00:49:48,400 --> 00:49:51,560
Speaker 1: Wallace and Grommet and Sewn the Sheep, very talented person,

859
00:49:51,920 --> 00:49:56,320
Speaker 1: alongside diverse academic, clinical, and charitable partners. Aimed at seventeen

860
00:49:56,360 --> 00:49:58,400
Speaker 1: to twenty four year olds, but also accessible to a

861
00:49:58,480 --> 00:50:02,239
Speaker 1: younger adrenge, it comp is five animated stories dealing with

862
00:50:02,440 --> 00:50:05,160
Speaker 1: life challenges that young people told us they found tricky.

863
00:50:05,280 --> 00:50:09,080
Speaker 1: Just now, so like, you know, look for the helpers.

864
00:50:09,120 --> 00:50:13,239
Speaker 1: Support the helpers. I appreciate them helping. This feels, you know,

865
00:50:14,440 --> 00:50:17,680
Speaker 1: a little inadequate to what we're talking about. And also,

866
00:50:19,000 --> 00:50:22,680
Speaker 1: you know, any like community funded projects, the or like

867
00:50:22,800 --> 00:50:27,239
Speaker 1: government funded projects, like the heart in the right place.

868
00:50:27,360 --> 00:50:29,480
Speaker 1: You know, the heart's in the right place. Yeah, that's

869
00:50:29,480 --> 00:50:32,480
Speaker 1: what's important. But I think we're missing like when we're

870
00:50:32,640 --> 00:50:37,239
Speaker 1: trying to investigate like how we talk more, you know,

871
00:50:37,320 --> 00:50:40,720
Speaker 1: seventeen to twenty four, I never shared a single fucking

872
00:50:40,840 --> 00:50:44,239
Speaker 1: thing I was actually feeling with anybody. Look at that

873
00:50:44,320 --> 00:50:47,200
Speaker 1: age seventeen and twenty four, because like, I feel like

874
00:50:47,239 --> 00:50:49,400
Speaker 1: the evolution of getting in touch with your emotions is

875
00:50:49,480 --> 00:50:51,879
Speaker 1: like ship happens to you when your kid or whatever.

876
00:50:51,960 --> 00:50:54,640
Speaker 1: You have your traumas that if you're like, get into

877
00:50:54,680 --> 00:50:58,400
Speaker 1: substance use, that ends up like being the fucking fuel

878
00:50:58,480 --> 00:51:01,359
Speaker 1: tank that powers you through your winies. And you're like, no, man,

879
00:51:01,400 --> 00:51:03,440
Speaker 1: as long as I keep like getting funked up, like

880
00:51:03,520 --> 00:51:05,399
Speaker 1: I think I might burn some of this trauma off,

881
00:51:06,000 --> 00:51:13,200
Speaker 1: and then you don't wear shitty khaki is exactly, and

882
00:51:13,280 --> 00:51:18,480
Speaker 1: then way too long, for way too long exactly, you

883
00:51:18,560 --> 00:51:20,560
Speaker 1: get then you reach that age where it's no longer

884
00:51:20,719 --> 00:51:22,640
Speaker 1: cute to be partying all the time, and then you

885
00:51:22,719 --> 00:51:24,839
Speaker 1: really have to start asking your friend group. You're like, yo,

886
00:51:24,880 --> 00:51:27,680
Speaker 1: I think they got a problem. But but in your

887
00:51:27,680 --> 00:51:29,600
Speaker 1: mid twenties, that ship didn't look like a problem. It

888
00:51:29,640 --> 00:51:32,120
Speaker 1: looked like a good time. And then with a little

889
00:51:32,160 --> 00:51:34,799
Speaker 1: bit of self awareness some help, like your thirties, if

890
00:51:34,840 --> 00:51:37,759
Speaker 1: you're lucky, you're like, hey man, you're good right like

891
00:51:38,560 --> 00:51:40,279
Speaker 1: and like also like, it's not weird for me to

892
00:51:40,360 --> 00:51:42,160
Speaker 1: ask you that, like, and it's not being like, yo,

893
00:51:42,200 --> 00:51:44,439
Speaker 1: why are you fucking asking me that? Like that we're

894
00:51:44,480 --> 00:51:47,040
Speaker 1: all at a place of emotional maturity where I can

895
00:51:47,120 --> 00:51:49,680
Speaker 1: just merely ask you just to check in and you

896
00:51:49,760 --> 00:51:52,439
Speaker 1: can respond without any fear of judgment. But we spent

897
00:51:52,760 --> 00:51:55,360
Speaker 1: decades apporting that process so long ago. Also, if you

898
00:51:55,440 --> 00:51:59,239
Speaker 1: carefully select your friend group carefully enough, they won't ever

899
00:51:59,360 --> 00:52:02,160
Speaker 1: bring that ship about, so you might need to check

900
00:52:02,200 --> 00:52:06,680
Speaker 1: in with the loved one. But yeah, no, that's that's

901
00:52:06,719 --> 00:52:11,239
Speaker 1: definitely it's definitely true that. There's also a New York

902
00:52:11,400 --> 00:52:15,120
Speaker 1: article that's like from one of their writers who is

903
00:52:15,200 --> 00:52:17,680
Speaker 1: like dealt with Cavin Fever and just writes about like

904
00:52:18,480 --> 00:52:21,800
Speaker 1: just the wild ship that they found themselves doing like

905
00:52:22,640 --> 00:52:25,959
Speaker 1: making prank phone calls to his friend in New York

906
00:52:26,560 --> 00:52:29,040
Speaker 1: like at two in the morning and like not realizing

907
00:52:29,040 --> 00:52:32,279
Speaker 1: it was weird until like, you know, ten years later

908
00:52:32,360 --> 00:52:35,000
Speaker 1: and they're like, oh, wow, I was really struggling with

909
00:52:35,640 --> 00:52:38,880
Speaker 1: Cavin Fever. But one of the you know, like I

910
00:52:39,200 --> 00:52:42,120
Speaker 1: feel like a New York article written in you know,

911
00:52:42,320 --> 00:52:46,840
Speaker 1: a lively literate style or literary style, it is probably

912
00:52:46,920 --> 00:52:51,160
Speaker 1: better suited to like diagnosing folk maladies than maybe this

913
00:52:51,360 --> 00:52:56,000
Speaker 1: like ni h like medical survey. But the one thing

914
00:52:56,080 --> 00:53:00,480
Speaker 1: that I thought was interesting was that like the version,

915
00:53:00,960 --> 00:53:05,920
Speaker 1: like the very uniquely American version of like Christianity and Jesus,

916
00:53:06,280 --> 00:53:09,120
Speaker 1: like where Jesus like walks with me and talks with

917
00:53:09,280 --> 00:53:13,240
Speaker 1: me and is like, you know, your own personal Jesus

918
00:53:13,320 --> 00:53:17,319
Speaker 1: to quote a song was invented at camp meetings by

919
00:53:17,719 --> 00:53:23,719
Speaker 1: frontier sufferers of cabin fever, and like, I find that

920
00:53:23,920 --> 00:53:28,520
Speaker 1: interesting because like that that feels like how things actually evolve,

921
00:53:28,680 --> 00:53:31,000
Speaker 1: Like how we deal with trauma is not that we

922
00:53:31,719 --> 00:53:35,400
Speaker 1: as a society diagnose it and then like move uniformly

923
00:53:35,520 --> 00:53:39,520
Speaker 1: in a direction of a cure. And instead we create

924
00:53:39,640 --> 00:53:45,680
Speaker 1: our own cultural and you know, spiritual remedies that are

925
00:53:46,480 --> 00:53:51,920
Speaker 1: often bizarre, maybe embarrassing coping mechanisms, but they become useful

926
00:53:52,360 --> 00:53:56,640
Speaker 1: and then get digested and then echoed down over generations.

927
00:53:57,160 --> 00:54:01,040
Speaker 1: And he also points to like many characters and like

928
00:54:01,239 --> 00:54:06,399
Speaker 1: thinkers from literature, like you know, Henry David Thurreau, who

929
00:54:06,840 --> 00:54:13,400
Speaker 1: Americans really really feel was basically like cabin fever was

930
00:54:14,120 --> 00:54:17,600
Speaker 1: like his writing style or his like writing process was

931
00:54:17,680 --> 00:54:21,279
Speaker 1: like giving himself cabin fever and then writing writing down

932
00:54:21,320 --> 00:54:24,839
Speaker 1: all the thoughts that occurred occurred to them. Well, our

933
00:54:24,880 --> 00:54:30,279
Speaker 1: folk maladies now are fucking terrible. So yes, when Q

934
00:54:30,480 --> 00:54:34,480
Speaker 1: and on that goes into the next century. And that

935
00:54:34,680 --> 00:54:37,040
Speaker 1: was coming out of time when the people so confused

936
00:54:37,160 --> 00:54:39,200
Speaker 1: as to what was happening around them that they fled

937
00:54:39,280 --> 00:54:45,640
Speaker 1: to four chan. Yeah I really Oh fuck, Okay, all right,

938
00:54:45,680 --> 00:54:48,360
Speaker 1: well I guess we'll see that when the annual gathering

939
00:54:48,440 --> 00:54:51,520
Speaker 1: in Dallas and Deely Plaza to a wait to wait

940
00:54:51,600 --> 00:54:55,239
Speaker 1: to return to jfk uh happens and everyone's being like,

941
00:54:55,280 --> 00:54:57,400
Speaker 1: and then this is when Donald Trump will become president

942
00:54:57,640 --> 00:55:01,839
Speaker 1: like he died seventy years ago. Grandma m hm, who knows,

943
00:55:02,000 --> 00:55:08,440
Speaker 1: We'll see, yeah, who who does know? Really, I'm just

944
00:55:08,560 --> 00:55:13,120
Speaker 1: excited to see what happens with Porno next. Yeah, that's

945
00:55:13,200 --> 00:55:16,319
Speaker 1: kind of just where I'm focused in the future. Yeah, no, really,

946
00:55:17,440 --> 00:55:19,480
Speaker 1: I mean I feel like the next the next big

947
00:55:19,600 --> 00:55:22,040
Speaker 1: thing is that they have to actually like legalize sex

948
00:55:22,120 --> 00:55:25,320
Speaker 1: work to allow like the free flow of like capital,

949
00:55:25,760 --> 00:55:29,000
Speaker 1: you know, so everything's not like well vs are MasterCard

950
00:55:29,080 --> 00:55:32,000
Speaker 1: doesn't want to handle that, but they'll surely watch your

951
00:55:32,400 --> 00:55:37,640
Speaker 1: other ill gotten gains through their financial businesses. But anyway, Yeah,

952
00:55:38,480 --> 00:55:42,040
Speaker 1: I mean sports gambling. You know, of course those are

953
00:55:42,160 --> 00:55:46,480
Speaker 1: gonna come first because they don't involve like puritanicalness like

954
00:55:47,280 --> 00:55:50,960
Speaker 1: prohibitions on sex, which obviously is like the most American

955
00:55:51,239 --> 00:55:56,200
Speaker 1: of impulses. But eventually, you know, capitalism is gonna swallow everything,

956
00:55:56,360 --> 00:56:00,480
Speaker 1: so that that'll probably get swept in there too. And

957
00:56:00,600 --> 00:56:03,160
Speaker 1: also as people become more and more lonely and can

958
00:56:03,280 --> 00:56:08,279
Speaker 1: only interact with other people via like algorithms that are

959
00:56:08,520 --> 00:56:12,239
Speaker 1: driven by like marketing firms, then you know that that

960
00:56:12,440 --> 00:56:17,479
Speaker 1: might also be how people find partners. That convergence would

961
00:56:17,560 --> 00:56:20,839
Speaker 1: actually be that we're dealing with all this data we've

962
00:56:20,880 --> 00:56:24,040
Speaker 1: gathered on every single human being who uses the Internet,

963
00:56:24,680 --> 00:56:27,920
Speaker 1: and you couple that with sports betting, and then people

964
00:56:27,960 --> 00:56:31,319
Speaker 1: will take like someone's data that they have and then

965
00:56:31,480 --> 00:56:34,279
Speaker 1: bet if they die alone or not. And like that's

966
00:56:34,280 --> 00:56:37,480
Speaker 1: our new like our new Vegas sports book. It's like

967
00:56:37,520 --> 00:56:39,000
Speaker 1: you see the new book. It's like, you know, I

968
00:56:39,000 --> 00:56:40,600
Speaker 1: think two to three seven oh eight is going to

969
00:56:40,719 --> 00:56:44,279
Speaker 1: have one kid, then get divorced, then remarry to someone

970
00:56:44,320 --> 00:56:46,120
Speaker 1: from their high school based on what I'm seeing here,

971
00:56:46,120 --> 00:56:47,759
Speaker 1: and like, man, are you gonna do a parlay on that?

972
00:56:47,840 --> 00:56:49,480
Speaker 1: It's like, yeah, if I hit three, man, that's fourteen

973
00:56:49,480 --> 00:56:51,520
Speaker 1: million dollars and I can I can get to Elysium.

974
00:56:52,000 --> 00:56:56,280
Speaker 1: You mean the entire industry of insurance adjustment. Yeah, exactly. Interesting,

975
00:56:56,400 --> 00:56:59,359
Speaker 1: Like that's where we we just we're just like fuck it, man,

976
00:56:59,440 --> 00:57:02,040
Speaker 1: make it a game because nothing matters, and maybe then

977
00:57:02,120 --> 00:57:04,279
Speaker 1: now people will bet on this ship. That's why it

978
00:57:04,320 --> 00:57:06,839
Speaker 1: feels like you know what I mean, like where as

979
00:57:06,880 --> 00:57:10,960
Speaker 1: you say that and everything becomes more perverse, like you know,

980
00:57:11,040 --> 00:57:12,800
Speaker 1: I say things like in Jess and then like I

981
00:57:12,960 --> 00:57:14,560
Speaker 1: kind of sit with it and I'm like, but let's

982
00:57:14,560 --> 00:57:17,200
Speaker 1: stopping any of that from really happening. That's why we

983
00:57:17,240 --> 00:57:21,240
Speaker 1: got to jump on these billion dollar ideas, you know, exactly.

984
00:57:21,840 --> 00:57:26,280
Speaker 1: Come to my thing called sad Kings, where just you

985
00:57:26,360 --> 00:57:28,640
Speaker 1: bet on people in real bad ways and you look

986
00:57:28,680 --> 00:57:32,520
Speaker 1: at their demographic information and protict their life outcome. Sad

987
00:57:32,680 --> 00:57:37,760
Speaker 1: Kings is fired, Sad Kings is great, and it's gonna

988
00:57:38,440 --> 00:57:45,480
Speaker 1: t shirt. The king from the card already looks pretty sad,

989
00:57:45,600 --> 00:57:49,840
Speaker 1: so I guess yeah, yeah, but this yeah, but this

990
00:57:49,960 --> 00:57:56,360
Speaker 1: one's simple. It's all this king is down bad, you know. Yeah,

991
00:57:57,960 --> 00:58:00,560
Speaker 1: instead of like having the sword behind his head, he's

992
00:58:00,560 --> 00:58:02,040
Speaker 1: just got his hand on the back of his head.

993
00:58:02,120 --> 00:58:04,520
Speaker 1: He's just like yeah, because he was about to ask,

994
00:58:04,640 --> 00:58:07,200
Speaker 1: like somebody for their number, but bailed on it because

995
00:58:07,200 --> 00:58:09,640
Speaker 1: it's just so awkward because he's too invested in the

996
00:58:09,720 --> 00:58:13,920
Speaker 1: digital social media environment. Anyway, sad Kangs check it out

997
00:58:15,360 --> 00:58:18,640
Speaker 1: coming see shirts coming coming from people's lives. Well, Jamal

998
00:58:18,720 --> 00:58:21,160
Speaker 1: has been such a pleasure having you on t d z.

999
00:58:21,360 --> 00:58:24,600
Speaker 1: Where can people find you and follow you? Yeah, you

1000
00:58:24,640 --> 00:58:29,040
Speaker 1: can follow me on Instagram. It's at Broccoli House nonprofit

1001
00:58:29,120 --> 00:58:32,960
Speaker 1: comic on Twitter and uh yeah, airboats pod is the

1002
00:58:33,000 --> 00:58:37,240
Speaker 1: basketball show? Sorry, we love Football's the football Show? Yeah?

1003
00:58:37,360 --> 00:58:40,920
Speaker 1: More to come and follow through dot studio for and

1004
00:58:41,040 --> 00:58:44,440
Speaker 1: he sneaker related goofs again? Do you have a team that,

1005
00:58:44,600 --> 00:58:49,080
Speaker 1: like you most want to see? I feel like we

1006
00:58:49,280 --> 00:58:51,760
Speaker 1: kind of already asked that, but is there? I think

1007
00:58:51,840 --> 00:58:53,920
Speaker 1: I think of what I want to see most as

1008
00:58:54,000 --> 00:58:56,640
Speaker 1: the Sun's win. Wow. Oh yeah, cause you got money

1009
00:58:56,680 --> 00:58:59,840
Speaker 1: on it, because I got some because back to sad

1010
00:59:00,720 --> 00:59:04,000
Speaker 1: You've been money on that. Sad King Chris Paul exact,

1011
00:59:05,040 --> 00:59:09,040
Speaker 1: That's what I'm saying, hopefully. Quarter I was like, this

1012
00:59:09,200 --> 00:59:11,360
Speaker 1: might be the one. Is there a tweet or some

1013
00:59:11,480 --> 00:59:14,880
Speaker 1: of the work of social media you've been enjoying. I've

1014
00:59:14,880 --> 00:59:19,760
Speaker 1: been enjoying my own tweet where I took the trailer

1015
00:59:19,920 --> 00:59:24,200
Speaker 1: for the reboot of Original Law and Order and put

1016
00:59:24,960 --> 00:59:30,280
Speaker 1: fifteen seconds of City of Gods by five yeoh over

1017
00:59:30,480 --> 00:59:33,480
Speaker 1: over the top of it. Yeah, I've just been watching

1018
00:59:33,560 --> 00:59:38,760
Speaker 1: a lot. Nobody else has watched it all five interviews Army. Yeah,

1019
00:59:40,320 --> 00:59:42,800
Speaker 1: that was like your tweet. Do you think ship poster

1020
00:59:43,000 --> 00:59:45,400
Speaker 1: is going to be an official surname one hundred years

1021
00:59:45,440 --> 00:59:48,120
Speaker 1: from now? I'm saying that the next one of what

1022
00:59:48,200 --> 00:59:54,720
Speaker 1: we were just talking about, Darryl Darrel ship poster? Oh

1023
00:59:54,920 --> 01:00:00,840
Speaker 1: of the four chance ship posters? Yes, yes matter? Yeah,

1024
01:00:00,960 --> 01:00:05,280
Speaker 1: that was good. Go follow Jamal on Twitter at Nonprofit

1025
01:00:05,360 --> 01:00:08,480
Speaker 1: Comic Great. Follow Miles. Where can people find you? What

1026
01:00:08,560 --> 01:00:10,680
Speaker 1: is the tweet you've been enjoying? Oh? Man, I find

1027
01:00:10,680 --> 01:00:13,800
Speaker 1: me on Twitter and Instagram at Miles of Gray. Obviously

1028
01:00:14,040 --> 01:00:17,120
Speaker 1: we got mad boost these the NBA podcast checked that

1029
01:00:17,240 --> 01:00:20,640
Speaker 1: one out. Latest episode with Roy Wood Jr. Came out.

1030
01:00:20,720 --> 01:00:23,360
Speaker 1: It's really fun. And also the other podcast I do

1031
01:00:23,480 --> 01:00:26,200
Speaker 1: for twenty Day Fiance with Sophia Alexandra. If you like

1032
01:00:26,360 --> 01:00:29,960
Speaker 1: ninety Day Fiance and we and what the fun You're

1033
01:00:29,960 --> 01:00:33,040
Speaker 1: waiting for come listening to this podcast. Um, some tweets

1034
01:00:33,200 --> 01:00:36,080
Speaker 1: that I like, let's see this this first one that

1035
01:00:36,120 --> 01:00:38,200
Speaker 1: I just read, which isn't really funny. It's just more

1036
01:00:38,280 --> 01:00:42,840
Speaker 1: like it's this like washed as twitter journalism ship. This

1037
01:00:42,960 --> 01:00:46,320
Speaker 1: guy is Zach bow Champ, who is a writer over

1038
01:00:46,640 --> 01:00:49,680
Speaker 1: at at Vox. He just tweeted this ship. I would

1039
01:00:49,680 --> 01:00:51,360
Speaker 1: see these tweets like there once a week, which is

1040
01:00:51,760 --> 01:00:54,720
Speaker 1: Biden's collapse with young voters is kind of mysterious. I've

1041
01:00:54,800 --> 01:00:56,600
Speaker 1: heard a lot of theories, but I'm not sure any

1042
01:00:56,640 --> 01:01:00,960
Speaker 1: one of them is all that convincing collapse. What then,

1043
01:01:01,120 --> 01:01:05,760
Speaker 1: do you say, collaborate collapse, the Biden's collapse with young voters. No,

1044
01:01:05,920 --> 01:01:16,520
Speaker 1: not collab voters. Biden next millennial bail out not happening.

1045
01:01:17,000 --> 01:01:20,640
Speaker 1: But yeah, everyone like obviously the ratios were just at

1046
01:01:20,680 --> 01:01:24,560
Speaker 1: another level. But again, it's so it's just fucking really.

1047
01:01:25,920 --> 01:01:28,200
Speaker 1: It irritates me, man, when you have people who are

1048
01:01:28,400 --> 01:01:31,720
Speaker 1: like running these websites where so many people just take

1049
01:01:31,840 --> 01:01:35,040
Speaker 1: in this information as like this is the representation of

1050
01:01:35,160 --> 01:01:37,240
Speaker 1: the reality I'm in, and these people are asking like

1051
01:01:37,320 --> 01:01:40,200
Speaker 1: I don't get why, like young people aren't fucking with Biden,

1052
01:01:40,320 --> 01:01:43,040
Speaker 1: Like are you even a millennial. Bro, do you not

1053
01:01:43,160 --> 01:01:45,400
Speaker 1: even see it from there? Are you? Just? Are? You? Like?

1054
01:01:45,560 --> 01:01:48,800
Speaker 1: What helped me understand this? Anyway? Here's a funnier one.

1055
01:01:48,880 --> 01:01:53,000
Speaker 1: This is from Molly app not Molly or Silly tweeted Okay,

1056
01:01:53,160 --> 01:01:55,360
Speaker 1: I'm sorry, I need to tweet because I can't take it.

1057
01:01:55,480 --> 01:01:58,280
Speaker 1: My twenty one year twenty one year old second cousin

1058
01:01:58,520 --> 01:02:00,880
Speaker 1: has brought a fifty seven year old into Eastern lunch.

1059
01:02:01,000 --> 01:02:03,800
Speaker 1: He has both ears pierce, he has frosted tips. He

1060
01:02:03,920 --> 01:02:08,720
Speaker 1: has said that's lit twice. I'm vibrating with cringe and fascination.

1061
01:02:09,640 --> 01:02:14,880
Speaker 1: Just somebody with a dual piercings frosted tips saying it's lit. Yeah,

1062
01:02:16,040 --> 01:02:18,680
Speaker 1: that's it. Sounds like a man who's reached his final

1063
01:02:18,760 --> 01:02:24,200
Speaker 1: form exactly exactly. He just picked picked an aesthetic from

1064
01:02:24,240 --> 01:02:26,240
Speaker 1: the past. You know, he's lived through them all. He

1065
01:02:26,360 --> 01:02:29,280
Speaker 1: was like, this is the one that like early early Timberlake,

1066
01:02:29,800 --> 01:02:32,919
Speaker 1: I choose this. Yeah, he funked up my three Sad

1067
01:02:33,000 --> 01:02:39,120
Speaker 1: Guy Parley on Sad Kings, but lunch. Ah he was

1068
01:02:39,200 --> 01:02:42,440
Speaker 1: so close man, right there. You look at the status,

1069
01:02:42,440 --> 01:02:48,960
Speaker 1: You're like, this was nailed on. Ah, I'm looking at

1070
01:02:49,000 --> 01:02:52,600
Speaker 1: the saber metrics on this ship. It was right there

1071
01:02:52,800 --> 01:02:55,960
Speaker 1: for you, cousin. Yes, he's never said hello to a

1072
01:02:56,000 --> 01:02:59,480
Speaker 1: woman at a bar in his life. That everything was

1073
01:02:59,520 --> 01:03:01,880
Speaker 1: going on the right, just trying, trying some things out,

1074
01:03:02,200 --> 01:03:05,120
Speaker 1: you know, move fast and breaks next thing, you know,

1075
01:03:05,200 --> 01:03:07,360
Speaker 1: you've got two your piercings and you've got the frosty tips.

1076
01:03:08,040 --> 01:03:11,160
Speaker 1: A tweet I've been enjoying. I'm on Twitter at Jack

1077
01:03:11,240 --> 01:03:14,800
Speaker 1: Underscore O'Brien, and you can find me liking stuff like this.

1078
01:03:15,480 --> 01:03:18,600
Speaker 1: At Cody and Fridge tweeted, people be given directions like

1079
01:03:18,720 --> 01:03:21,520
Speaker 1: head south, l m a O Okay, Lewis and Clark,

1080
01:03:24,200 --> 01:03:27,040
Speaker 1: and then there's just this tweet like I'm not I'm

1081
01:03:27,080 --> 01:03:30,080
Speaker 1: not huge on the feel good animal tweets, but at

1082
01:03:30,280 --> 01:03:35,440
Speaker 1: Yoda Fever tweeted, a bird discovers golf balls can bounce.

1083
01:03:35,520 --> 01:03:40,320
Speaker 1: Now it cannot stop playing. And this bird, I don't know,

1084
01:03:40,680 --> 01:03:43,960
Speaker 1: it's it's just wild. This bird picks up golf balls,

1085
01:03:44,880 --> 01:03:48,640
Speaker 1: walks them over to some concrete just like slams the

1086
01:03:48,720 --> 01:03:51,360
Speaker 1: ship on the thing, and then once they start bouncing,

1087
01:03:51,560 --> 01:03:55,439
Speaker 1: has like just the best reaction, just like pure joy.

1088
01:03:55,880 --> 01:03:58,280
Speaker 1: It's kind of like it reminds me of like parenting,

1089
01:03:58,360 --> 01:04:01,160
Speaker 1: where like you get to watch kids. Your kid like

1090
01:04:01,280 --> 01:04:04,800
Speaker 1: discover bubbles and you're kind of like, yeah, bubbles are

1091
01:04:04,920 --> 01:04:08,000
Speaker 1: like kind of miraculous, Like that's a that's a weird thing.

1092
01:04:08,120 --> 01:04:11,520
Speaker 1: It's weird that those exist. Like they're they're fun, like

1093
01:04:11,640 --> 01:04:14,400
Speaker 1: the watching a bird discovered that golf balls can bounce.

1094
01:04:14,480 --> 01:04:17,640
Speaker 1: It's pretty pretty fun. I recommend that. See, that's the

1095
01:04:17,720 --> 01:04:20,960
Speaker 1: kind of content people need, not wasting hours on TikTok.

1096
01:04:22,640 --> 01:04:27,080
Speaker 1: I'm pretty sure it's probably came from TikTok. I know, right, exactly, alright,

1097
01:04:27,120 --> 01:04:29,560
Speaker 1: back to TikTok. All right. You can find us on

1098
01:04:29,640 --> 01:04:33,120
Speaker 1: Twitter at Daily Zeitgeist, were at d Daily Zigeist, on Instagram.

1099
01:04:33,200 --> 01:04:36,000
Speaker 1: We have Facebook fan page and a website Daily zeitgeist

1100
01:04:36,080 --> 01:04:38,440
Speaker 1: dot com where we post our episodes on our foot

1101
01:04:38,520 --> 01:04:42,040
Speaker 1: notes where we link off to the information that we

1102
01:04:42,200 --> 01:04:46,360
Speaker 1: talked about in two days episode miles. What song do

1103
01:04:46,480 --> 01:04:48,880
Speaker 1: we think people should go check out? This is an

1104
01:04:48,960 --> 01:04:52,000
Speaker 1: artist I think he's a brit by way of Nigeria.

1105
01:04:52,120 --> 01:04:54,840
Speaker 1: I know he's Nigerian. This is Wayne Snow and this

1106
01:04:54,960 --> 01:04:58,680
Speaker 1: track is called Figurine And this track is great. It's

1107
01:04:58,720 --> 01:05:03,400
Speaker 1: got like need like a really super hard break beat sample,

1108
01:05:03,760 --> 01:05:07,560
Speaker 1: like with a super heavy bassline and Wayne Snows like

1109
01:05:07,600 --> 01:05:09,919
Speaker 1: one of these artists who dabbles in like so many

1110
01:05:09,960 --> 01:05:12,440
Speaker 1: different genres, but it all it ends up coming out

1111
01:05:12,760 --> 01:05:15,800
Speaker 1: just smooth. And then this one, this it's just got

1112
01:05:15,920 --> 01:05:17,440
Speaker 1: like some grit to it, but like you know, his

1113
01:05:17,560 --> 01:05:20,160
Speaker 1: like falsetto singing on it too, like evens it all out.

1114
01:05:20,680 --> 01:05:22,600
Speaker 1: So it's it's a very pleasant listen And if you

1115
01:05:22,720 --> 01:05:25,560
Speaker 1: like hip hop or anything like a good backbeat, you

1116
01:05:25,640 --> 01:05:27,600
Speaker 1: have to listen to this. And even if you don't,

1117
01:05:27,640 --> 01:05:29,560
Speaker 1: used to listen to it because it's objectively good. So

1118
01:05:29,640 --> 01:05:33,360
Speaker 1: this is figuring by Wayne Snow. Alright, Well, The Daily

1119
01:05:33,480 --> 01:05:35,800
Speaker 1: Zyka is a production by Heart Radio for More podcast

1120
01:05:35,880 --> 01:05:38,640
Speaker 1: for my Heart Radio, visit the heart Radio app, Apple podcast,

1121
01:05:38,760 --> 01:05:41,320
Speaker 1: or wherever you listen to your favorite shows. That is

1122
01:05:41,320 --> 01:05:43,680
Speaker 1: going to do it for us this morning, but we're

1123
01:05:43,720 --> 01:05:46,360
Speaker 1: back this afternoon to tell you what it's trending and

1124
01:05:46,560 --> 01:05:48,040
Speaker 1: we'll touch you all that. Bye bye