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Speaker 1: Hello the Internet, and welcome to this episode of the

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Speaker 1: Weekly Zeitgeist. Uh. These are some of our favorite segments

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Speaker 1: from this week, all edited together into one uh NonStop

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Speaker 1: infotainment last extravaganza. Uh yeah, So, without further ado, here

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Speaker 1: is the Weekly Zeitgeist. Miles. We are thrilled to be

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Speaker 1: joined in our third seat by a hilarious and talented comedian, podcaster,

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Speaker 1: and artist who hosted the classic podcast Professor blast Off.

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Speaker 1: That was one of my first favorite podcasts, brought me

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Speaker 1: into the podcast world, host ongoing podcast Space Cave, draw

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Speaker 1: some truly hilarious comics, his stand up, special animation, cinematographical

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Speaker 1: extravaganza Big Nothingness can be found at David Hauntsberger dot com,

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Speaker 1: which was a smart place to put it because that's

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Speaker 1: his name. Please welcome to the show, The Brilliant the Town.

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Speaker 1: To David Huntsburn, I want to do like a Miles

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Speaker 1: off Mike. Oh you know what I mean, Let him know,

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Speaker 1: let him know. You're in a big room. Yeah, nice

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Speaker 1: to see you guys. Nice to be back. It's great

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Speaker 1: to see you. You do look like you were in

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Speaker 1: a like there's like a science lab slash shop class

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Speaker 1: vibe going on behind you, like truly. Yeah, yeah, a

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Speaker 1: lot of stuff happening back you know, the pandemic. You

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Speaker 1: said everyone was hanging on by a thread. I feel

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Speaker 1: like in the deep stages of quarantine, just needing to

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Speaker 1: like keep my hands busy, to do something. I just

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Speaker 1: started relentlessly organizing and and I made all this crap

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Speaker 1: behind me, just out of free stuff. It was just

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Speaker 1: some there's left on the curb, and I'm like, oh,

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Speaker 1: I can use that, and uh, it ended up being

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Speaker 1: it looks a little maniacal, but it's all very organized,

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Speaker 1: which is nice. Yeah, very organized. There's a Ferrari behind him.

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Speaker 1: You guys, party are what's new man? What's what's going

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Speaker 1: on with you? Uh? You know, I finished the wall

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Speaker 1: behind me. The organization is coming to a close. I

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Speaker 1: have to get back to normal life. I'm assessing the

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Speaker 1: world around us all the time, like everyone is. Some

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Speaker 1: people that never slowed down and never changed. Other people

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Speaker 1: are reacting like they got to catch up. So a

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Speaker 1: lot of stop signs being run through, a lot of frantic,

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Speaker 1: hurried behavior that's just baffling to watch. And I'm just

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Speaker 1: sort of reintegrating and re immersing myself in it and

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Speaker 1: you guys did one of these all these sketches, like

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Speaker 1: when we are kind of at the end of everyone's

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Speaker 1: still in their homes, everyone had audio games. So I

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Speaker 1: started reaching out to friends and just writing little sketches

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Speaker 1: and just a way to like I was really sick

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Speaker 1: of let's schedule a zoom and hang out. I started

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Speaker 1: to really hate those. But you know, reaching out to

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Speaker 1: someone that's saying, do you want to do a sketch

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Speaker 1: for like fifteen minutes and just goof around and really

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Speaker 1: not even catch up, just start up to zoom. They go,

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Speaker 1: how's this sound? That's good? Then we do the script

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Speaker 1: and like, how's life good? Oh yeah, good as well,

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Speaker 1: and then part company and then maybe afterward they'd message

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Speaker 1: remind me next time. I hope buch just I moved.

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Speaker 1: I have a child, Like okay, yeah, we'll talk about

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Speaker 1: that next time. But anyway, I did all these sketches

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Speaker 1: and then I've just been like editing them and gonna

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Speaker 1: put them out into the world. But that's what I've

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Speaker 1: been to really, Yeah, nice man, that sounds like a

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Speaker 1: very productive way to channel the pandemic and post pandemic

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Speaker 1: or still mid pandemic anxiety. I think so, and I

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Speaker 1: think it was like the opposite of maybe we get

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Speaker 1: this through uh behind the scenes things of like how

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Speaker 1: shows are made where you see like production offices and

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Speaker 1: there's like dry race boards or post it notes everywhere,

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Speaker 1: and people are like planning, how are you gonna make

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Speaker 1: this thing? And then they start and then they sit

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Speaker 1: down and you have to open up some sort of

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Speaker 1: software and like okay, interior apartment day. Then you you

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Speaker 1: have then you like, after brand it all out, then

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Speaker 1: you have to write it. I just kind of started

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Speaker 1: writing all this stuff and just checking in with my

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Speaker 1: friends just to say hi to everybody. And then after

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Speaker 1: I had all these like dozens of sketches, like what

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Speaker 1: am I gonna do with that? So somebody sort of

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Speaker 1: the opposite. It came from like a good place, and

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Speaker 1: then I had to be like, oh, yeah, what would

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Speaker 1: you what would you? What would normal person do here

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Speaker 1: with all of this? Yeah, yeah, we were in one

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Speaker 1: of the sketches. It was a blast, but yeah, no punctuation.

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Speaker 1: You didn't even have character names. Was just a block,

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Speaker 1: solid block of text and you have to work it

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Speaker 1: out for yourself. You're the full underscore. I kept underminding

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Speaker 1: just like scores. That's you, that's your care I don't

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Speaker 1: I don't know the letters. I don't know the keys

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Speaker 1: on a keyboard. I also feel like you're right that

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Speaker 1: it's affected the way people are driving. I feel like

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Speaker 1: I hear, you know, an average of eight peel out,

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Speaker 1: like in my neighborhood, like on a regular basis, like

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Speaker 1: in the middle of the day at a time that

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Speaker 1: really nobody I think nobody's drag racing. Maybe I'm not

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Speaker 1: up on the drag racing scene, but it feels like

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Speaker 1: a Sunday morning at ten thirty might not be the

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Speaker 1: ideal time, but people are peeling out, people are people

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Speaker 1: are driving hard. Yeah, yeah, it is weird to watch.

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Speaker 1: I don't know if it's good to be kind of

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Speaker 1: aware of what paradigm you're in or to just do it,

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Speaker 1: like just to be bastal wall like cutting through traffic,

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Speaker 1: going to work, chugging coffee, going to do in your

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Speaker 1: hobbies and activities, meeting up for friends, laughing, just living

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Speaker 1: life so fast. If you're outside of that watching it,

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Speaker 1: you're like, what changed? What is No one seems to

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Speaker 1: be handling this? Well, yeah, that is a good description

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Speaker 1: of how I live my life. So I get it. Yeah,

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Speaker 1: you know, just rushing out. You know, weekends are for

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Speaker 1: the boys. As Miles and I always talk about playing

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Speaker 1: some tackle football without beds in the park, Rush and

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Speaker 1: Bruis discussed the idea of too hand touch or flags,

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Speaker 1: just no fucking just separate your shoulder one flag, we respect.

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Speaker 1: What is something from your search history? The last thing

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Speaker 1: I looked up was famous people from Lubbock because because

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Speaker 1: I was born there and my Uber driver was like

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Speaker 1: Jimmy Fox from there, and we found out he was

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Speaker 1: from Terrell, Texas, which is six and a half hours away.

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Speaker 1: But you know who was from Lubbock, Buddy Holly. Buddy

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Speaker 1: Holly was from Lubbock. Seemed to be soon to be

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Speaker 1: you on there? You think you'll be on that name

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Speaker 1: of notable. What do you call someone from Lubbock Labuckian

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Speaker 1: that's got that has to be there's no other choice.

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Speaker 1: Gotta be Lubuckian and get at us. We have we

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Speaker 1: have some notes for you. We gotta keep it la buck.

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Speaker 1: Let's keep over here, Oh lubbockite. I love the guy

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Speaker 1: that's like boring. Yeah, it's like swash bucklery, you know

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Speaker 1: what I mean. Yeah, yeah, Okay, wait, so how long

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Speaker 1: were you in love it before you was? My parents

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Speaker 1: lived there for a long time, but I was three

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Speaker 1: and a half almost four when we moved to Utah. Yeah,

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Speaker 1: but we we go back. We have like family and

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Speaker 1: family friends there, you know. Okay, Okay, so still still

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Speaker 1: something you visit. Yeah, yeah, and you have you have

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Speaker 1: family there, like I have a similar relationship to Philadelphia.

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Speaker 1: Were like my whole families from there, But I didn't,

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Speaker 1: like really I don't have any like formative memories there.

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Speaker 1: But I think just through osmosis, I get a lot

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Speaker 1: of Yeah, I have that. I do have like some

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Speaker 1: of my first memories there, So I do have like

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Speaker 1: that a little bit. But yeah, some of it's like

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Speaker 1: just going back and hanging out, you know. Yeah, what

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Speaker 1: is your first Okay, I hate to just kind of

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Speaker 1: go there with it like a stone thought, but can

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Speaker 1: you actually think back to what your first met Marie is? Yeah,

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Speaker 1: so my first not moving memory just like an image

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Speaker 1: my parents. I think this is what it is from

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Speaker 1: my parents stories. But it's like me alone and I'm

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Speaker 1: seeing like a wall of like fluorescent flashing lights, and

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Speaker 1: I think it's from when my dad and my uncle

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Speaker 1: like changed my diaper at the mall, and they both

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Speaker 1: left me because they thought that I was going with

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Speaker 1: the other one. And then I got lost in the mall.

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Speaker 1: When I was two years old, some like a big

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Speaker 1: baby genius. It was like night at the museum. But

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Speaker 1: at the mall, No, some lady. My mom was like,

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Speaker 1: oh yeah, some some lady, like white lady like found

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Speaker 1: you and she saw that we looked the same because

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Speaker 1: we had like similar like noses, and they saw like whatever.

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Speaker 1: And I was like, are you just saying that lady

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Speaker 1: was racist? Mom? And that's how that's how I was

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Speaker 1: saved by a race by racism. That's wild, my. I

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Speaker 1: think it's so funny that one of the most vivid

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Speaker 1: first memories I have is being lost in Central Park.

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Speaker 1: Big My dad was with me and then he turned around,

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Speaker 1: but I just took off, like at three or something,

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Speaker 1: and my memory is of is of me just crying

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Speaker 1: in Central Park and like a cop comes up to

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Speaker 1: me and I was like, don't touch me, bro, but

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Speaker 1: three yeah, three, I was I was with the ship no.

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Speaker 1: But the guy was like, hey, yeah, like what's going on.

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Speaker 1: I was like, I don't know where my dad is.

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Speaker 1: And at the time. This is the first time they

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Speaker 1: said what does he look like? I had no concept

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Speaker 1: of race, so I was like, uh, and I pointed

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Speaker 1: out another black dude. I was like, he's like him,

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Speaker 1: and they're like, all right, we gotta And they brought

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Speaker 1: a guy first, another black dude lost his kid. The

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Speaker 1: guy was like, not the same the guy. I was like,

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Speaker 1: I'm not taking this kid home. Yeah, and then my

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Speaker 1: dad came. He was like, oh, ship, he's like yo,

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Speaker 1: I thought, wandering around malls and parks losing their children.

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Speaker 1: I don't know. I don't know, but it's I think

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Speaker 1: it makes sense that that's like my first like real remember, Yeah,

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Speaker 1: for sure. I was like I don't have any fear

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Speaker 1: associated with it. I was just like window shopping, you know.

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Speaker 1: It's like the beginning of Saturday night fever. Yeah. This

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Speaker 1: is where I'm a huge advocate for kid leashes. I'm

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Speaker 1: totally for it. I'm like, hell, yeah, dude, put them

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Speaker 1: on a leash, you know, to to make sure that

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Speaker 1: they stopped pulling on that ship muzzle so they stopped

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Speaker 1: eating everything. You stop eating that. I just gotta say, though,

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Speaker 1: I mean it racism in the NYPD were the heroes

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Speaker 1: of those two Yeast stories. Yeah, it was different time

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Speaker 1: that was I think, Yeah, our our vital memories were coping.

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Speaker 1: You know what, all this reminiscent has reminded me of

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Speaker 1: a little song that goes, look at this photograph. Oh

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Speaker 1: my god, it's probably taken five miles is dad? Yeah?

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Speaker 1: Probably like this is my son. Have you seen him?

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Speaker 1: He's I'm actually a good dad for real. Well, my

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Speaker 1: first memory is just boring, but it's Wheeling, West Virginia.

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Speaker 1: And I just went back to the home where I

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Speaker 1: had my first memory over this, and it was, what

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Speaker 1: is what something you think is overrated? I think, uh,

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Speaker 1: you know, I hate to say this, and I know

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Speaker 1: it's gonna come. You know, this is I'm dropping a

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Speaker 1: bond shell here, but uh, fucking Kanye overrating is over aged?

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Speaker 1: I think, can can we all admit now that like

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Speaker 1: graduation was not that good and the college drop out?

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Speaker 1: Fine drop out was the one album I'm like, that's

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Speaker 1: his good album? Right, yeah, sure, that that's the one

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Speaker 1: that's like okay, there's yeah, good album? Was that two

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Speaker 1: thousand eight, two thousand three? I mean, come on, you know,

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Speaker 1: let's let can we stop Like all Kanye did was

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Speaker 1: released one good album and be like I Am God

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Speaker 1: for like two decades and uh, and now people are

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Speaker 1: finally just like, wait, he's insane. Wait a minute, Yeah

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Speaker 1: he's overrated. His music is not that good. And honestly,

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Speaker 1: you know the anti semitism that we all saw that

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Speaker 1: coming a mile away. We all knew he was gonna

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Speaker 1: be anti Jew. Everyone knew it. Was like, listen, this guy,

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Speaker 1: he has been going off the deep end for a while.

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Speaker 1: He's been wearing a Magahattan ship. We all knew it.

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Speaker 1: I was like, this is he is. He is three

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Speaker 1: days away from reading mind comp and being like, oh,

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Speaker 1: this is new to me. Yeah, there's nothing more annoying

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Speaker 1: than anti semitism, for for the obvious reasons, but also

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Speaker 1: because everyone who gets anti Semitics thinks they're the first

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Speaker 1: person to see the matrix. They're like, did you know

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Speaker 1: that the Jews actually like run the media and stuff?

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Speaker 1: Have you ever heard that? And it's like, yeah, it's

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Speaker 1: really old. It's been around for like ever, and uh,

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Speaker 1: it's been debunked a thousand times. And there's a stupid

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Speaker 1: thing to say out loud, and they're like, yeah, well,

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Speaker 1: you don't want me to say it because because you know,

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Speaker 1: because you know it's true, and you like blessed off

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Speaker 1: the air. Yeah, like, hey, if you want to see

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Speaker 1: who uh is in power? See who you cannot criticize.

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Speaker 1: It's like, yeah, like kids with leukemia the most powerful,

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Speaker 1: the most powerful people, Yes, yes, dying cancer kids, you

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Speaker 1: can't criticize them. They run everything. It's just wild to

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Speaker 1: see how much though. It's just you know, knowing how

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Speaker 1: dangerous it was to let him out there and saying

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Speaker 1: like just having all this ship get aired, yeah, not

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Speaker 1: and not taking it down with whether it was Drink

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Speaker 1: Champs or Tucker Carlson or Pierce Morrigan being like, well

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Speaker 1: this this kind of you know, like kind of the

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Speaker 1: kind of wacky ship that he's saying anti semitic shape

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Speaker 1: my viewers are kind of into. And plus it will

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Speaker 1: get some it'll get some clicks and you see immediately

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Speaker 1: again we just were talked about it the other day.

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Speaker 1: How that led to people on the fucking four oh

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Speaker 1: five putting up there like fucking Kanye was right about

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Speaker 1: the Jews banners and ships like that and doing seek

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Speaker 1: highland it. Yeah, you're like, that's that's why, that's why

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Speaker 1: you can't have fucking people out here talking like you're saying,

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Speaker 1: spreading this kind of vitriolic bullshit, not challenging it, and

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Speaker 1: then waiting for like Adidas to be like and that's

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Speaker 1: enough right there, right there, that was decided that's too far. Yeah,

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Speaker 1: it's very annoying, and it's even more annoying the the

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Speaker 1: kind of like this white supremacists like right when news

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Speaker 1: media is clearly using this for multiple purposes. Number one,

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Speaker 1: because you know, they want to show like, hey, you know,

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Speaker 1: see there are black maga people and and at the

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Speaker 1: same time they want to do kind of like blanket

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Speaker 1: anti black race is m and paint all black men

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Speaker 1: as anti Semitic, because that's a huge part of it,

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Speaker 1: especially with their like hardcore right wing pro Israel base,

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Speaker 1: who like has no problem painting every single person of

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Speaker 1: color who speaks just a little bit about Israel as

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Speaker 1: oh well, that's just the same as Kanye. They're the

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Speaker 1: same as uh, you know, sucking Farrakhan. Like there's a

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Speaker 1: huge amount of anti blackness in kind of these like

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Speaker 1: blanket like accusations of anti Semitism that happened, and Kanye

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Speaker 1: is just he's just the perfect person for them to

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Speaker 1: like point and go like, let's give this guy some

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Speaker 1: air time because it serves all these purposes all at once.

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Speaker 1: It's a grab bag of right wing talking points. Yeah

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Speaker 1: it's gross, but he is anti Semitic, is fuck? Yeah?

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Speaker 1: What is something you think is underrated? I mean, actually,

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Speaker 1: like I just somewhat recently, for um, the Earth Sea books,

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Speaker 1: which I had not read as a kid, I just

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Speaker 1: read them as an adult by Ursula like Win, and

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Speaker 1: I feel like I'm so shocked that I had never

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Speaker 1: really heard of her until I was an adult, because

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Speaker 1: she's amazing and I would have loved these books when

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Speaker 1: I was a kid, And I feel like it's it's

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Speaker 1: also funny because you know, like I feel like people's

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Speaker 1: experiences with Harry Potter are getting somewhat painted by J. K.

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Speaker 1: Rowling just turning into like a hate monster these days.

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Speaker 1: But like, if you're if you feel that way, I

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Speaker 1: would definitely read the Earth Sea books, because first of all,

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Speaker 1: I actually think they are you know, they're there. It's

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Speaker 1: such a it's a bigger world like they it builds

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Speaker 1: such a larger world in terms of like this feeling

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Speaker 1: of this great fantasies, and it has the same themes

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Speaker 1: like wizards, there's like a wizard school. There's a lot

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Speaker 1: of things I think at J. K. Rowling actually borrowed

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Speaker 1: from these books, which normally is fine, Like when you

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Speaker 1: borrow themes or ideas from other books, that's like that's

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Speaker 1: how you write books, Like, that's how literature works. But

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Speaker 1: the thing that kind of annoys me is I think

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Speaker 1: that J. K. Rowling was like trying to basically say

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Speaker 1: her books are better than fantasy, like, oh, mine aren't fantasy,

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Speaker 1: their magical realism, like fantasies just like fairies and unicorns

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Speaker 1: in my books are more you know, they're more grounded

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Speaker 1: than that. And it's like, dude, come on, you have

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Speaker 1: like wizards and unicorns in your book. Why are you?

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Speaker 1: And also just to kind of pretend like she's special

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Speaker 1: or different from fantasy. It's like no, even like pulled

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Speaker 1: a lot of these themes from pre existing fantasy books,

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Speaker 1: which is fine. The the these authors also pulled things

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Speaker 1: from even older books, like that's how it works, but

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Speaker 1: to not acknowledge that it is kind of crappy. Oh,

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Speaker 1: this earthsea thing sounds cool though, Like I was just

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Speaker 1: reading the Wikipedia and it's like the whole world is

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Speaker 1: comprised of just like tiny islands. Yeah. Yeah, it feels

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Speaker 1: like a lot like what ancient Greece was like, right,

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Speaker 1: I was mainly like, you know, the mainland and then

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Speaker 1: a bunch of little island nations all like going to

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Speaker 1: war with each other and stuff. I've always been fascinated

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Speaker 1: with that and been like, somebody should write this book

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Speaker 1: that it turns out already exists before you were born.

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Speaker 1: Loser turns out got any more? Brain Buster seventy and

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Speaker 1: seventy two. Yeah, it's a really it's a really good

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Speaker 1: series for for adults as well. I enjoyed it a lot,

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Speaker 1: and I just finished it up a couple of months ago.

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Speaker 1: All right, well, let's take a quick break and we'll

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Speaker 1: come back and talk about how we all might be

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Speaker 1: living on a series of tiny islands, and then not

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Speaker 1: two days future, we'll be right back. And we're back,

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Speaker 1: and we're starting to get some scores in the National

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Speaker 1: Assessment of Educational Progress dropped their performance review of our

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Speaker 1: educational system and it's the first one since the pandemic,

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Speaker 1: and the results are not great. Nope, nope, nope, nope,

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Speaker 1: uh pretty pretty pretty big drops. They said. This survey

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Speaker 1: of fourth and eighth graders found that math scores fell

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Speaker 1: in nearly every state. No state showed significant improvements in reading,

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Speaker 1: and the lowest performing students saw the largest declines in achievement.

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Speaker 1: And there's a lot of takes flying out there from

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Speaker 1: it wasn't really that bad that they these kids the

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Speaker 1: scores dropped too. We need to We need the teachers

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Speaker 1: unions to be absolutely obliterated because they had way too

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Speaker 1: much influence in doing this and they were wrong. They're

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Speaker 1: not scientists, bus, but it is clear the performance went

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Speaker 1: down in many studies show this consistently, and sadly, it

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Speaker 1: also shows that the lower income areas were the hardest hit. Again,

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Speaker 1: just causes more concern for increased inequality down the road,

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Speaker 1: because these are like vital years for someone's education, especially

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Speaker 1: in like subjects like math and things like that. This

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Speaker 1: this is from this Atlantic article. They also said the

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Speaker 1: districts with fully remote instructions saw declines and test scores

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Speaker 1: up to three times greater than districts that had in

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Speaker 1: person instruction for the majority of the school year. When

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Speaker 1: the declines again were particularly start for lower achieving the

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Speaker 1: minority students. Yeah, I mean that my experience was online school,

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Speaker 1: and my kids are much younger than fourth to eighth grade.

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Speaker 1: But it you know, if I were working in a

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Speaker 1: job where I was not able to like be there

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Speaker 1: with like like have one eye on what they were

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Speaker 1: doing like that, it would have been absolutely impossible. And

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Speaker 1: I think doubly so when if they were at an

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Speaker 1: age where they don't believe everything I tell them, Like,

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Speaker 1: you know, like what once you get to fourth to

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Speaker 1: eighth grade, like they're like, yeah, okay, like they're doing

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Speaker 1: what they think they need to to get away with

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Speaker 1: lying or at least that I'll speak for myself from

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Speaker 1: from fourth to eighth grade, I'm just doing what I

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Speaker 1: think I can get. That was Machiavelli up in that,

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Speaker 1: so like, of course, of course this is gonna be

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Speaker 1: the I mean, you know, I think around the world.

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Speaker 1: You know, we saw a lot of countries kept their

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Speaker 1: schools open, and we're pointing to things that, like the

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Speaker 1: studies were showing kids weren't necessarily the biggest threat vector

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Speaker 1: in terms of transmission, and kids weren't getting as seriously

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Speaker 1: ill as adults. And you know, many of the critics

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Speaker 1: of the closures like point to this and like or like,

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Speaker 1: but look every every other place saw like they knew

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Speaker 1: that it was low and we still had to keep

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Speaker 1: the schools closed. But school closures were mostly welcomed by parents,

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Speaker 1: like it wasn't a huge like the like a lot

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Speaker 1: of polling showed that this wasn't as divisive as an

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Speaker 1: issue as it as it was, although many parents were

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Speaker 1: talking about, like the how difficult it would be to

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Speaker 1: manage remote learning and working remotely during the pandemic, But

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Speaker 1: I don't know, like the other thing that also point

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Speaker 1: to is especially like low income and minority parents were

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Speaker 1: at a much higher rate excepting of school closures and

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Speaker 1: waiting for absolute safety before putting their kids in school

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Speaker 1: because I think just in general, I think they were

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Speaker 1: seeing firsthand how much more like how brutal COVID can

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Speaker 1: be while trying to earn a living in a dangerous setting.

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Speaker 1: So you know, everyone's calculus is different. I think that

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Speaker 1: the one the one thing that should be pointed out though,

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Speaker 1: is that a lot of this isn't permanent and Mississippi

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Speaker 1: students have completely recovered in their reading scores, and in

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Speaker 1: a study in Ohio found that the current pace of

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Speaker 1: recovery and reading would pretty much eliminate the state's learning loss.

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Speaker 1: Younger elementary school kids tended to have made up ground

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Speaker 1: much quicker in the last year, but older students are

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Speaker 1: recovering a little more slowly. And again in you know,

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Speaker 1: race or family income are very also very predictive of

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Speaker 1: you know what that recovery is going to look like. Yeah,

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Speaker 1: I mean, so we're we're in the midst of like

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Speaker 1: a sprint to bounce back for this to get the

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Speaker 1: students caught up, like with all this missed learning and

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Speaker 1: people's responses, the teachers have it too good, Like that's

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Speaker 1: that's how we're going to solve this is by not

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Speaker 1: giving teachers the protections they need. It doesn't doesn't quite

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Speaker 1: work out in my brain. I also think we should

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Speaker 1: all have to take these tests because I bet we're

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Speaker 1: all like I think my math scores have also fallen

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Speaker 1: since the pandemic. I think we're all spiritually and mentally

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Speaker 1: fucked up still from the pandemic. I think it was

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Speaker 1: bad for all of us. And yeah, we were like

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Speaker 1: we we probably need to have a little bit of

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Speaker 1: I don't know, patients with ourselves. And also, yeah, I

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Speaker 1: mean the thing that I always thought when we were

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Speaker 1: talking about this over the pandemic was like, you have,

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Speaker 1: but kids are like way more resilient than the rest

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Speaker 1: of us, so they'll probably be okay in the long run.

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Speaker 1: But yeah, and I do feel like the mental health

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Speaker 1: thing is like the X factor. You know. My friends

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Speaker 1: who are teachers were like, I'm spending so much time,

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Speaker 1: you know, like fourth eighth grade, you're like starting to

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Speaker 1: have existential crises, you know, be like, who am I

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Speaker 1: It's like someone separate from my parents. And my teacher

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Speaker 1: friends were like, I'm spending so much of my time

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Speaker 1: just like talking to kids about how they're doing and

426
00:24:13,840 --> 00:24:16,600
Speaker 1: like regulating that because they also don't have each other

427
00:24:16,960 --> 00:24:19,719
Speaker 1: and like their parents are busy, and so yeah, I

428
00:24:19,760 --> 00:24:24,480
Speaker 1: hope once they can like regain some sense of stability,

429
00:24:24,840 --> 00:24:27,080
Speaker 1: it will allow for bounce back. But it's really sad.

430
00:24:27,600 --> 00:24:29,480
Speaker 1: I mean I think that, you know, again, it was

431
00:24:29,520 --> 00:24:32,840
Speaker 1: a very complex situation, especially in the early stages when

432
00:24:32,840 --> 00:24:35,360
Speaker 1: we knew very little, and the binaries seemed to be

433
00:24:35,480 --> 00:24:39,000
Speaker 1: stay alive or go to school, and that was basically

434
00:24:39,040 --> 00:24:41,679
Speaker 1: what that was sort of what the discussion was centered around.

435
00:24:42,160 --> 00:24:44,120
Speaker 1: And I mean, yeah, when you look at the data,

436
00:24:44,119 --> 00:24:46,200
Speaker 1: it has to be said that school closures for those

437
00:24:46,200 --> 00:24:49,520
Speaker 1: extended periods may not have been the best move, especially

438
00:24:49,560 --> 00:24:52,080
Speaker 1: when you consider that like that it was widening the

439
00:24:52,119 --> 00:24:55,000
Speaker 1: gap between rich and poor kids. But you know, rather

440
00:24:55,040 --> 00:24:56,800
Speaker 1: than just going all in and being like and this

441
00:24:56,880 --> 00:24:59,000
Speaker 1: is like, you know, this daily beast thing, this person

442
00:24:59,080 --> 00:25:02,320
Speaker 1: is like. Look, when the Republicans take power, it was like, wait,

443
00:25:02,359 --> 00:25:05,200
Speaker 1: hold on, what they're like. And I'm not for sham investigations,

444
00:25:05,240 --> 00:25:07,479
Speaker 1: but they absolutely need to talk to like they need

445
00:25:07,520 --> 00:25:09,240
Speaker 1: to get the heads of the teachers unions up there

446
00:25:09,240 --> 00:25:11,520
Speaker 1: to explain what the heck is going on? Like that

447
00:25:11,760 --> 00:25:14,959
Speaker 1: is the that direction, that energy is completely misdirected, in

448
00:25:14,960 --> 00:25:17,239
Speaker 1: my opinion. But you know, I think the biggest thing

449
00:25:17,280 --> 00:25:19,280
Speaker 1: too is rather than just comparing yourself, like, well, look

450
00:25:19,320 --> 00:25:22,000
Speaker 1: what happened in these like in in Western Europe or

451
00:25:22,040 --> 00:25:24,119
Speaker 1: this place or this that place, the US is not

452
00:25:24,200 --> 00:25:26,680
Speaker 1: like other countries. You know, we're exceptional in some good

453
00:25:26,680 --> 00:25:29,600
Speaker 1: ways and also in some terrifying fucking ways. And you

454
00:25:29,640 --> 00:25:32,720
Speaker 1: look at how many people died and how little government

455
00:25:32,760 --> 00:25:35,760
Speaker 1: seemed to care about the preciousness of like human life.

456
00:25:36,280 --> 00:25:39,199
Speaker 1: That wouldn't inspire confidence in me as a teacher or

457
00:25:39,200 --> 00:25:41,800
Speaker 1: someone having to work in the pandemic when the message

458
00:25:41,800 --> 00:25:44,119
Speaker 1: being reflected back to me is you will die and

459
00:25:44,119 --> 00:25:46,280
Speaker 1: that's fine. And if you die, who gives a ship

460
00:25:46,800 --> 00:25:49,680
Speaker 1: Like that's a funked up that's a fund up environment

461
00:25:49,680 --> 00:25:53,600
Speaker 1: to operate in. And again, union busting is not the

462
00:25:53,640 --> 00:25:57,400
Speaker 1: answer here. But I think, like anything, right in America,

463
00:25:57,480 --> 00:25:59,760
Speaker 1: we don't have this thing where we go through something,

464
00:26:00,160 --> 00:26:02,240
Speaker 1: we learned something, and then we go back and be like,

465
00:26:02,400 --> 00:26:04,359
Speaker 1: this is what we learned and this is how it

466
00:26:04,400 --> 00:26:08,760
Speaker 1: will inform future decision making, because we just we tend

467
00:26:08,800 --> 00:26:10,399
Speaker 1: to not do that. And I think that's not a

468
00:26:10,440 --> 00:26:14,080
Speaker 1: good pattern for our country because it just undermines people's

469
00:26:14,119 --> 00:26:18,280
Speaker 1: faith in certain institutions when we can't be like, well, hey, dude,

470
00:26:18,280 --> 00:26:21,840
Speaker 1: he guess well, we learned something from that fucking pandemic.

471
00:26:22,080 --> 00:26:24,119
Speaker 1: Here's what we're learning, here's what we can how we

472
00:26:24,160 --> 00:26:26,919
Speaker 1: can apply these things. But yeah, it's just hard to

473
00:26:26,960 --> 00:26:30,160
Speaker 1: find the right way to navigate a fucking pandemic when

474
00:26:30,320 --> 00:26:34,040
Speaker 1: half the country thinks keeping people safe as a genocide.

475
00:26:34,720 --> 00:26:39,479
Speaker 1: Right there, Also, is it settled science that this was

476
00:26:40,240 --> 00:26:44,600
Speaker 1: the wrong move to keep like schools closed. And I

477
00:26:44,640 --> 00:26:46,600
Speaker 1: think it's just saying when you're when you're putting it

478
00:26:46,680 --> 00:26:50,000
Speaker 1: all together that the what the what the transmission was

479
00:26:50,080 --> 00:26:53,280
Speaker 1: like in a school and what the actual like potential

480
00:26:53,320 --> 00:26:56,359
Speaker 1: threat to the safety to the students was was I

481
00:26:56,400 --> 00:26:58,359
Speaker 1: guess for people who want to really lean into it

482
00:26:58,400 --> 00:27:02,399
Speaker 1: feels overblown. But again, I don't think it's necessarily something

483
00:27:02,400 --> 00:27:06,679
Speaker 1: where I don't think it's it's incorrect to consider the

484
00:27:06,720 --> 00:27:09,800
Speaker 1: safety of people and making the best decision based off

485
00:27:09,840 --> 00:27:12,560
Speaker 1: of that. I think the bigger issue is we had

486
00:27:12,600 --> 00:27:15,880
Speaker 1: so much noise coming from certain parts of our economy

487
00:27:16,280 --> 00:27:19,680
Speaker 1: about going getting back to normal that it completely muddied

488
00:27:19,720 --> 00:27:22,280
Speaker 1: people's ability to actually look at the situation and then

489
00:27:22,359 --> 00:27:25,680
Speaker 1: figure out what the best way to solve that is, right,

490
00:27:26,119 --> 00:27:30,199
Speaker 1: And if you know, teachers were at risk, so I

491
00:27:30,240 --> 00:27:34,239
Speaker 1: mean teachers were dying. That teachers were dying, and like

492
00:27:34,280 --> 00:27:38,440
Speaker 1: what message like human, Like, what kind of message does

493
00:27:38,440 --> 00:27:42,800
Speaker 1: that send to young growing humans that like we're like, yeah,

494
00:27:42,840 --> 00:27:44,639
Speaker 1: but we got to keep those test scores up so

495
00:27:44,680 --> 00:27:47,679
Speaker 1: that you can compete in the global economy. Like I

496
00:27:47,680 --> 00:27:52,240
Speaker 1: don't know, like even in retrospects, like knowing that the

497
00:27:52,320 --> 00:27:56,720
Speaker 1: spread wasn't that bad with kids, it still was bad

498
00:27:56,840 --> 00:28:00,199
Speaker 1: for like kids could spread it to teachers and right,

499
00:28:00,200 --> 00:28:03,000
Speaker 1: we didn't know about transmission at all, and like parents

500
00:28:03,119 --> 00:28:07,080
Speaker 1: and yeah, totally, yeah, that's why I think, you know, again,

501
00:28:07,119 --> 00:28:10,280
Speaker 1: it's just more about seeing that other when again, other

502
00:28:10,320 --> 00:28:13,320
Speaker 1: countries are doing it, and I guess looking at those

503
00:28:13,359 --> 00:28:18,120
Speaker 1: results that people are immediately just like well fuck and

504
00:28:18,160 --> 00:28:20,399
Speaker 1: the and the fucking scores went down. But again, I

505
00:28:20,400 --> 00:28:23,800
Speaker 1: don't think a lot of the criticisms are necessarily that genuine,

506
00:28:23,800 --> 00:28:26,320
Speaker 1: because like the underpinnings of it typically end up on

507
00:28:26,400 --> 00:28:29,600
Speaker 1: some version of like well you teachers, unions have too

508
00:28:29,640 --> 00:28:33,880
Speaker 1: much power, or like some other weird end goal which

509
00:28:33,920 --> 00:28:36,840
Speaker 1: isn't necessarily the health and safety of every person in

510
00:28:36,880 --> 00:28:39,200
Speaker 1: the country. Were like look what it to to business,

511
00:28:39,640 --> 00:28:42,040
Speaker 1: Look what it did that, and then like this, where

512
00:28:42,080 --> 00:28:43,800
Speaker 1: this one a bet in the Daily Beach is truly

513
00:28:43,840 --> 00:28:47,000
Speaker 1: being like, well, you know, good luck, liberals. You just

514
00:28:47,080 --> 00:28:49,920
Speaker 1: gave all the people who were like school choice advocates

515
00:28:49,920 --> 00:28:54,000
Speaker 1: all the AMMO they need. So like this, I think

516
00:28:54,040 --> 00:28:58,440
Speaker 1: this studies being weaponized in some ways, and other people

517
00:28:58,440 --> 00:29:00,680
Speaker 1: are just sort of objectively being like, yeah, the score

518
00:29:00,720 --> 00:29:04,080
Speaker 1: is dipped. They're tending to recover here. Some this was

519
00:29:04,120 --> 00:29:07,120
Speaker 1: the fallout of it. But again I think more than

520
00:29:07,160 --> 00:29:09,160
Speaker 1: like what happened here with the school closure is the

521
00:29:09,200 --> 00:29:11,959
Speaker 1: biggest indictment is more about how generally is a country

522
00:29:12,000 --> 00:29:15,160
Speaker 1: we fucking handled the pandemic and getting focused on this

523
00:29:15,200 --> 00:29:17,960
Speaker 1: I think give like sort of excuses every other failure,

524
00:29:18,760 --> 00:29:21,520
Speaker 1: and maybe you have to like have more protections in

525
00:29:21,600 --> 00:29:23,960
Speaker 1: place when you don't have a functional health care system,

526
00:29:24,280 --> 00:29:28,520
Speaker 1: you know, like maybe maybe like that the people who

527
00:29:28,920 --> 00:29:32,320
Speaker 1: are have a union looking out for them are going

528
00:29:32,360 --> 00:29:34,920
Speaker 1: to be a little bit more cautious when they know

529
00:29:35,080 --> 00:29:38,160
Speaker 1: that if they do get COVID and have to go

530
00:29:38,240 --> 00:29:42,440
Speaker 1: to the hospital, it could bankrupt them. Yeah like that

531
00:29:42,440 --> 00:29:46,560
Speaker 1: that what about that? Maybe? Maybe? So maybe what about

532
00:29:46,560 --> 00:29:49,600
Speaker 1: a good argument or even to the or even for

533
00:29:49,680 --> 00:29:52,040
Speaker 1: the people who are like, well, you know, adults are

534
00:29:52,040 --> 00:29:53,800
Speaker 1: the ones that are gonna get sick? Well, then why

535
00:29:53,800 --> 00:29:58,120
Speaker 1: are the fucking bars open? Right? Yeah? Those bounce back

536
00:29:58,240 --> 00:30:02,040
Speaker 1: if you're if you're fucking that could sarned, then up

537
00:30:02,200 --> 00:30:04,760
Speaker 1: like be consistent with that, you know what I mean,

538
00:30:04,840 --> 00:30:07,480
Speaker 1: like rather than being like it's just gonna be adults. Also,

539
00:30:07,560 --> 00:30:12,160
Speaker 1: why isn't Chili's open? Like calm? That doesn't But that

540
00:30:12,200 --> 00:30:16,920
Speaker 1: doesn't paint me as like, yeah, it comes back to

541
00:30:16,920 --> 00:30:20,280
Speaker 1: the bias against anything that's not profitable and schools are

542
00:30:20,320 --> 00:30:23,160
Speaker 1: not profitable in the short term, and I think that's

543
00:30:23,160 --> 00:30:25,520
Speaker 1: what's kind of wild is just to see people's response

544
00:30:25,560 --> 00:30:28,800
Speaker 1: to this shows like as a country, like we're completely

545
00:30:28,840 --> 00:30:32,760
Speaker 1: losing our grip on being humane. Yes, you know, like

546
00:30:32,840 --> 00:30:36,080
Speaker 1: they're this woman was arrested in Arizona recently because she

547
00:30:36,160 --> 00:30:38,800
Speaker 1: was feeding the needy and a park and the laws

548
00:30:38,880 --> 00:30:42,200
Speaker 1: don't allow you to serve food in a charitable nature,

549
00:30:42,280 --> 00:30:46,040
Speaker 1: Like we're we're criminalizing ship like that, and also having

550
00:30:46,040 --> 00:30:48,640
Speaker 1: like these wild takes or they're like the teachers unions

551
00:30:48,680 --> 00:30:51,240
Speaker 1: have way too much power because teachers were dying and

552
00:30:51,240 --> 00:30:53,959
Speaker 1: they were looking out for their the workers involved in

553
00:30:53,960 --> 00:30:56,880
Speaker 1: this union, but just using like these scores to sort

554
00:30:56,880 --> 00:30:59,160
Speaker 1: of completely say that this is a this is a

555
00:30:59,200 --> 00:31:02,719
Speaker 1: failure and if they want better wages, well the unions

556
00:31:02,720 --> 00:31:04,719
Speaker 1: really screwed them over because now they look like they

557
00:31:04,760 --> 00:31:07,400
Speaker 1: don't know what they're doing. Right. It was it was

558
00:31:07,440 --> 00:31:11,160
Speaker 1: a difficult situation, you know, the teachers like we got

559
00:31:11,200 --> 00:31:15,720
Speaker 1: the results we got, and it's just America is not

560
00:31:15,800 --> 00:31:18,760
Speaker 1: great at dealing with difficult situations, it would seem at

561
00:31:18,800 --> 00:31:22,200
Speaker 1: this at this point in our evolution. Also, any sort

562
00:31:22,240 --> 00:31:24,120
Speaker 1: of like what I could have should have about COVID

563
00:31:24,200 --> 00:31:27,000
Speaker 1: feels ridiculous to be like, we shouldn't have been wiping

564
00:31:27,000 --> 00:31:29,880
Speaker 1: down surfaces that didn't do anything. It's like, well, okay, yeah,

565
00:31:30,280 --> 00:31:33,720
Speaker 1: we didn't know, Like and all those times they're like,

566
00:31:33,760 --> 00:31:35,959
Speaker 1: don't wear a mask, you know what I mean, we

567
00:31:35,960 --> 00:31:38,600
Speaker 1: were throwing spaghetti at the wall. We had no idea, Like, yeah,

568
00:31:38,640 --> 00:31:39,960
Speaker 1: there's a lot of things we should have done, a

569
00:31:40,040 --> 00:31:42,000
Speaker 1: lot of things we should have done differently. I don't know,

570
00:31:42,520 --> 00:31:46,280
Speaker 1: it's funny in retrospect that I was disinfecting my cheerios

571
00:31:46,320 --> 00:31:49,520
Speaker 1: boxes when I got the home from the grocery store.

572
00:31:50,600 --> 00:31:53,640
Speaker 1: But I'm I'm also like not calling for the heads

573
00:31:53,720 --> 00:31:57,040
Speaker 1: of the of the people who suggested that it could

574
00:31:57,040 --> 00:32:01,680
Speaker 1: be spread by you know, part of hold on cheerio boxes,

575
00:32:01,760 --> 00:32:06,040
Speaker 1: because we just didn't know and everyone was freaking out understandably, right,

576
00:32:06,760 --> 00:32:10,160
Speaker 1: and it did kill a million people, Yes, and again

577
00:32:10,240 --> 00:32:13,840
Speaker 1: try operating in good faith, like and what's the best

578
00:32:13,880 --> 00:32:16,440
Speaker 1: interest for your own health or your community's health. When

579
00:32:16,520 --> 00:32:19,440
Speaker 1: you live you have millions of people who would just

580
00:32:19,480 --> 00:32:22,040
Speaker 1: be like, why you wearing a mask? Why are you

581
00:32:22,080 --> 00:32:25,120
Speaker 1: doing this? Let me get in your ship, Like we're

582
00:32:25,160 --> 00:32:26,840
Speaker 1: that's what I'm saying, like, if I think for people

583
00:32:26,840 --> 00:32:29,320
Speaker 1: who want to make a really easy comparison, it's like,

584
00:32:29,320 --> 00:32:32,680
Speaker 1: well they didn't do that in like South Korea or whatever.

585
00:32:32,760 --> 00:32:35,240
Speaker 1: It's like, we're not We're not dealing with the same ship.

586
00:32:35,560 --> 00:32:38,280
Speaker 1: Were also in South Korea, the government was like bringing

587
00:32:38,320 --> 00:32:41,080
Speaker 1: people food to be like, hey, we know you're locked up.

588
00:32:41,320 --> 00:32:43,560
Speaker 1: Here's a fucking care package because we know you have

589
00:32:43,640 --> 00:32:46,360
Speaker 1: to eat, because we understand that is, you know, just

590
00:32:46,400 --> 00:32:49,800
Speaker 1: a concept rather than our version, which is like a

591
00:32:49,960 --> 00:32:53,520
Speaker 1: salute the people who are whose only financial recourse is

592
00:32:53,560 --> 00:32:56,280
Speaker 1: to go buy groceries for people with more money. Right,

593
00:32:56,680 --> 00:33:00,120
Speaker 1: all right, let's uh, let's move on to may be

594
00:33:00,280 --> 00:33:06,040
Speaker 1: the police are a bad fucking idea Part two, recurring segment.

595
00:33:06,120 --> 00:33:08,600
Speaker 1: We have. So a couple of weeks back, the Edmonton

596
00:33:08,680 --> 00:33:11,640
Speaker 1: Police released a composite of a suspect in a twenty

597
00:33:11,680 --> 00:33:15,560
Speaker 1: nineteen sexual assault. A black man who or a black

598
00:33:15,640 --> 00:33:19,440
Speaker 1: male I will say who, judging from the image, presumably

599
00:33:19,600 --> 00:33:24,480
Speaker 1: escaped on the Polar Express because the image they released

600
00:33:24,960 --> 00:33:28,960
Speaker 1: makes him look twelve years old. And it's not a

601
00:33:28,960 --> 00:33:32,320
Speaker 1: curse like it like you say, like Polar Express, You're like,

602
00:33:32,400 --> 00:33:34,960
Speaker 1: are are you a computer animated kid. It's a computer

603
00:33:35,080 --> 00:33:39,760
Speaker 1: animated twelve year old? What yes? And so what they

604
00:33:39,800 --> 00:33:43,960
Speaker 1: did was they used DNA phenotyping, which is the process

605
00:33:44,000 --> 00:33:49,560
Speaker 1: of predicting a physical appearance and ancestry from unidentified DNA evidence.

606
00:33:50,240 --> 00:33:53,680
Speaker 1: This is not a set There is not a settled

607
00:33:53,920 --> 00:33:57,719
Speaker 1: science around this. The cops bought the composite from a

608
00:33:57,760 --> 00:34:02,760
Speaker 1: company called parabin Nano Labs, which sounds very official. They

609
00:34:02,920 --> 00:34:06,400
Speaker 1: routinely provide the service to law enforcement, and the Edmonton

610
00:34:06,440 --> 00:34:09,480
Speaker 1: Police claimed this tactic was taken because the public needs

611
00:34:09,480 --> 00:34:11,400
Speaker 1: to get this person off the streets, even though they

612
00:34:11,440 --> 00:34:15,759
Speaker 1: admitted that the composite was not accurate. It turns out

613
00:34:15,800 --> 00:34:20,040
Speaker 1: that's a massive understatement. Less than a week later, the

614
00:34:20,239 --> 00:34:23,560
Speaker 1: Edmonton Police issued an apology over the use of DNA

615
00:34:23,640 --> 00:34:29,520
Speaker 1: phenotyping after a massive backlash for its broad characterization of

616
00:34:29,600 --> 00:34:33,160
Speaker 1: just a black man again could be a black child,

617
00:34:33,320 --> 00:34:37,160
Speaker 1: which experts expressed concern would lead to mass surveillance of

618
00:34:37,239 --> 00:34:40,560
Speaker 1: any black man approximately five ft four. Oh my god,

619
00:34:40,680 --> 00:34:44,480
Speaker 1: d NA po typing sounds like phrenology or something that

620
00:34:44,719 --> 00:34:48,959
Speaker 1: is like our cane. That is wild, especially a couple

621
00:34:49,000 --> 00:34:51,120
Speaker 1: of that would like and this is who did it?

622
00:34:53,120 --> 00:34:56,920
Speaker 1: Face is so specific but so it's like a police sketch,

623
00:34:57,400 --> 00:35:00,359
Speaker 1: but it's not. It's based on kind of less than

624
00:35:00,400 --> 00:35:05,359
Speaker 1: a police sketch, which already you know, very very problematic.

625
00:35:05,680 --> 00:35:09,240
Speaker 1: But one geneticist called the quote science of extracting facial

626
00:35:09,239 --> 00:35:13,239
Speaker 1: profiles from d NA quote dangerous snake oil, while one

627
00:35:13,280 --> 00:35:17,120
Speaker 1: taxpayer complained, the government is wasting money on racist astrology

628
00:35:17,200 --> 00:35:23,800
Speaker 1: for cops. Oh my god. Yes, you know, we always

629
00:35:23,800 --> 00:35:26,319
Speaker 1: hear that the problem with algorithms is human bias. And

630
00:35:26,360 --> 00:35:30,600
Speaker 1: this is like the visual manifestation of using science to

631
00:35:30,719 --> 00:35:35,239
Speaker 1: dress up human bias. That's so scary, that's and yeah,

632
00:35:35,280 --> 00:35:40,560
Speaker 1: to be like, oh, it's heritage and history to manufacture

633
00:35:40,600 --> 00:35:43,640
Speaker 1: it also gives d n A evidence a bad name.

634
00:35:45,960 --> 00:35:49,200
Speaker 1: I like, and from this d NA we will conjure

635
00:35:49,600 --> 00:35:53,360
Speaker 1: this image of like a composite that a computer made.

636
00:35:53,840 --> 00:35:57,640
Speaker 1: But yeah, the company that provides the service, Pairbian, also

637
00:35:57,719 --> 00:36:01,520
Speaker 1: does DNA matching, but this specifics service is called Snapshot.

638
00:36:02,000 --> 00:36:05,719
Speaker 1: Was first released in and a lot of people in

639
00:36:05,760 --> 00:36:08,759
Speaker 1: the field of d n A research were skeptical of

640
00:36:08,800 --> 00:36:11,680
Speaker 1: Snapshot and continue to be. For one things, the company's

641
00:36:11,680 --> 00:36:15,040
Speaker 1: science has yet to be published in any peer reviewed literature,

642
00:36:15,640 --> 00:36:18,719
Speaker 1: so that's that's one of those things that like we

643
00:36:18,800 --> 00:36:22,000
Speaker 1: generally look for in our science. I mean, do you

644
00:36:22,040 --> 00:36:25,120
Speaker 1: wonder how they came up with the name snapshot. It

645
00:36:25,239 --> 00:36:29,799
Speaker 1: sounds too like cute and in effect, you know, it's

646
00:36:29,800 --> 00:36:33,080
Speaker 1: like snapchat or like a snap judge, it's like that's

647
00:36:33,120 --> 00:36:37,799
Speaker 1: not you aren't even trying snapshot. Yeah, hey, this will

648
00:36:37,840 --> 00:36:42,120
Speaker 1: take off. Yeah yeah. It does feel focus grouped. Feels

649
00:36:42,160 --> 00:36:44,960
Speaker 1: that came out of like Mattel, Like Mattel is like

650
00:36:45,080 --> 00:36:48,600
Speaker 1: focus grouping, like for coming up with the name of

651
00:36:48,640 --> 00:36:53,719
Speaker 1: like a snapshot Barbie, like fucked up kids toy. It's

652
00:36:53,719 --> 00:36:56,400
Speaker 1: like two drops of blood in the receptacle container in

653
00:36:56,480 --> 00:37:00,000
Speaker 1: fifteen minutes and then it will reveal your new image snapshot.

654
00:37:00,640 --> 00:37:04,120
Speaker 1: That's like the BuzzFeed personality test of the future. Totally

655
00:37:04,239 --> 00:37:07,520
Speaker 1: and like that a world will just give figure it out.

656
00:37:07,600 --> 00:37:10,399
Speaker 1: Ye see what cartoon what Looney Tunes character we are

657
00:37:10,440 --> 00:37:12,600
Speaker 1: by dropping our blood into a vial? Oh my god,

658
00:37:12,640 --> 00:37:15,000
Speaker 1: I could totally see if I don't even answer questions

659
00:37:15,000 --> 00:37:19,640
Speaker 1: anywhere a version of the future where like you know,

660
00:37:19,680 --> 00:37:22,560
Speaker 1: the twenty three and me goes down a path where

661
00:37:22,560 --> 00:37:24,719
Speaker 1: you're like spitting a cup and then like they do

662
00:37:24,800 --> 00:37:29,520
Speaker 1: all sorts of fun like personality tests exactly. It's like,

663
00:37:29,560 --> 00:37:33,160
Speaker 1: have you tried a bellyage? It's not like hair die job,

664
00:37:33,280 --> 00:37:35,640
Speaker 1: like that would really look good for you, Like what

665
00:37:36,080 --> 00:37:39,319
Speaker 1: given your ancestry, right, yeah, I don't have a hair.

666
00:37:39,480 --> 00:37:43,480
Speaker 1: You're looking at me. You're telling much you mean? Right,

667
00:37:43,760 --> 00:37:46,560
Speaker 1: But there there's basically no way to know how they're

668
00:37:46,640 --> 00:37:49,640
Speaker 1: accomplishing what they say they are. Their response to the

669
00:37:49,640 --> 00:37:52,360
Speaker 1: criticism is, we're not in the business to write papers.

670
00:37:52,400 --> 00:37:56,880
Speaker 1: The results speak for themselves. So results are up, my

671
00:37:56,920 --> 00:38:01,360
Speaker 1: man and their bad. A genetist who's where parabin admits

672
00:38:01,440 --> 00:38:05,239
Speaker 1: they partly based their technique on suspects that Parabine is

673
00:38:05,320 --> 00:38:09,320
Speaker 1: just generating a bunch of generic faces and then using

674
00:38:09,320 --> 00:38:12,759
Speaker 1: the DNA info to tweak these faces and fill in

675
00:38:12,800 --> 00:38:16,680
Speaker 1: the blanks. It's Sarah knows, Oh my god. Yeah, it

676
00:38:16,880 --> 00:38:19,439
Speaker 1: really is very similar to their notes. Wasn't that kind

677
00:38:19,480 --> 00:38:23,960
Speaker 1: of what they did with Yeah, I'm like, right, this

678
00:38:24,040 --> 00:38:29,000
Speaker 1: is like the takedown is making itself right, right, Yeah,

679
00:38:29,200 --> 00:38:32,960
Speaker 1: So that would explain why the composite looks so broad

680
00:38:33,280 --> 00:38:36,600
Speaker 1: and just yeah, or to be like, what the like

681
00:38:37,000 --> 00:38:38,759
Speaker 1: land that you say that it really does feel like

682
00:38:38,840 --> 00:38:41,600
Speaker 1: a creative player function in a sports game when it's

683
00:38:41,600 --> 00:38:44,239
Speaker 1: like you're the seventeen like eight faces you can then

684
00:38:44,280 --> 00:38:46,880
Speaker 1: funk if you could funk with from there because this

685
00:38:46,920 --> 00:38:50,719
Speaker 1: one like how like it's a like this fucking mug

686
00:38:50,800 --> 00:38:53,959
Speaker 1: shot looks like a fucking thirteen year old twelve year old.

687
00:38:54,080 --> 00:38:57,200
Speaker 1: Well that's so this is what's wild. Okay, So from

688
00:38:57,239 --> 00:39:01,400
Speaker 1: the DNA testing that they're doing, they can't even determine

689
00:39:01,440 --> 00:39:06,800
Speaker 1: a person's age using then, so they chose the age

690
00:39:06,840 --> 00:39:12,120
Speaker 1: of you know, fourteen, and like that's the point that

691
00:39:12,160 --> 00:39:15,040
Speaker 1: we discussed recently, like with with regards to the l

692
00:39:15,080 --> 00:39:19,759
Speaker 1: A City Council's like racist comments. It's interesting that they

693
00:39:19,840 --> 00:39:22,919
Speaker 1: chose to spread a picture of a black child when

694
00:39:22,920 --> 00:39:25,759
Speaker 1: they couldn't possibly know the age. Like the other ing

695
00:39:25,880 --> 00:39:30,319
Speaker 1: and targeting of black children is like real, and it's

696
00:39:30,320 --> 00:39:34,400
Speaker 1: a cultural sickness that I feel like comes from the

697
00:39:34,480 --> 00:39:37,280
Speaker 1: dissonance that occurs in the brain of a person who's

698
00:39:37,480 --> 00:39:41,680
Speaker 1: cultural conditioning tells them to be racist against black people,

699
00:39:41,880 --> 00:39:45,040
Speaker 1: but whose humanity tells them that these are fucking children

700
00:39:45,480 --> 00:39:49,719
Speaker 1: and to like to help smooth over that dissonist dissonance,

701
00:39:49,800 --> 00:39:52,840
Speaker 1: they like grasp for anything they can to like find

702
00:39:53,480 --> 00:40:03,000
Speaker 1: something that others black children like yeah, like it and yeah,

703
00:40:03,080 --> 00:40:04,880
Speaker 1: I don't know that. In terms of skin color, one

704
00:40:04,920 --> 00:40:07,800
Speaker 1: expert estimated the scientists would only be able to predict

705
00:40:07,880 --> 00:40:11,680
Speaker 1: someone's skin color using DNA with twenty five percent accuracy.

706
00:40:12,480 --> 00:40:17,080
Speaker 1: They went all in on his complexion too. Yeah but

707
00:40:17,160 --> 00:40:19,800
Speaker 1: this is in Canada, right, Yeah, this is in Canada.

708
00:40:19,920 --> 00:40:24,600
Speaker 1: But this is also um. So the cops in Edmonton

709
00:40:24,640 --> 00:40:27,840
Speaker 1: apologize for using the tech, it doesn't mean they'll necessarily stop.

710
00:40:27,880 --> 00:40:32,080
Speaker 1: And in the NYPD announced that there they'd no longer

711
00:40:32,200 --> 00:40:35,320
Speaker 1: use Snapshot in their investigations. But then more than a

712
00:40:35,400 --> 00:40:38,360
Speaker 1: year later, it turned out that they had maintained a

713
00:40:38,400 --> 00:40:41,560
Speaker 1: relationship with the company. I knew. I was like, I

714
00:40:41,600 --> 00:40:43,400
Speaker 1: had a sinking feeling. I was like, cool, this is

715
00:40:43,440 --> 00:40:50,239
Speaker 1: gonna like some American Yeah, the police, you know, is

716
00:40:50,239 --> 00:40:51,640
Speaker 1: going to be like, all right, we got this, Like

717
00:40:51,760 --> 00:40:55,759
Speaker 1: new technology seems pretty hopefully. This this this was from

718
00:40:55,880 --> 00:40:59,160
Speaker 1: five years ago. This from a local news broadcast in Denver.

719
00:40:59,520 --> 00:41:04,560
Speaker 1: When they're they're they're like heralding the arrival of DNA phenotyping.

720
00:41:05,320 --> 00:41:07,920
Speaker 1: Attend putting a face on crime. What if you could

721
00:41:07,960 --> 00:41:10,640
Speaker 1: see what a suspect looks like just from the DNA

722
00:41:10,760 --> 00:41:13,480
Speaker 1: left behind It sounds like sci fi, but Aurora police

723
00:41:13,480 --> 00:41:15,000
Speaker 1: are some of the first in the country to use

724
00:41:15,040 --> 00:41:17,640
Speaker 1: his cutting edge technology try to catch the bad guys.

725
00:41:17,920 --> 00:41:21,319
Speaker 1: But Denver seven Jacqueline Allen found some question whether the

726
00:41:21,360 --> 00:41:24,399
Speaker 1: science is ready. Private companies say they can use your

727
00:41:24,480 --> 00:41:26,719
Speaker 1: DNA to make predictions about what you look like, your

728
00:41:26,719 --> 00:41:30,720
Speaker 1: skin color, eye color, painting a digital picture of your face,

729
00:41:31,120 --> 00:41:34,000
Speaker 1: but some researchers are concerned about how accurate that is,

730
00:41:34,280 --> 00:41:38,239
Speaker 1: so we tried it ourselves, so they go on. But

731
00:41:38,360 --> 00:41:42,080
Speaker 1: again like the like the buyinary here is like new

732
00:41:42,120 --> 00:41:48,080
Speaker 1: technology to catch the bad guy. Some people who actually

733
00:41:48,080 --> 00:41:50,200
Speaker 1: know what the funk they're talking about are like, not

734
00:41:50,360 --> 00:41:54,239
Speaker 1: so fucking quick, right, Yeah, it's just shows again, like

735
00:41:54,239 --> 00:41:57,760
Speaker 1: it's this always there's going there's always like this side

736
00:41:57,800 --> 00:42:00,319
Speaker 1: that's like, yes, spend more money so I have to

737
00:42:00,360 --> 00:42:03,680
Speaker 1: do less work to actually catch somebody Like hey, buddy,

738
00:42:03,680 --> 00:42:08,399
Speaker 1: your face looks like this racist fucking AI algorithm face,

739
00:42:08,480 --> 00:42:11,600
Speaker 1: so it was you um or they have then they'll

740
00:42:11,600 --> 00:42:13,640
Speaker 1: actually have to use DNA to match that. But and

741
00:42:13,680 --> 00:42:16,520
Speaker 1: then on the other side of just people trying to

742
00:42:16,560 --> 00:42:21,239
Speaker 1: say this is fucking dangerous, it's pseudo science. Yeah, I

743
00:42:21,239 --> 00:42:25,200
Speaker 1: mean just think about who has like these companies are

744
00:42:25,239 --> 00:42:27,839
Speaker 1: like when you read the history of these companies, they

745
00:42:27,880 --> 00:42:32,000
Speaker 1: get like hundreds of millions of dollars of cash infusions

746
00:42:32,040 --> 00:42:37,160
Speaker 1: from you know, venture capital firms, and who where where

747
00:42:37,239 --> 00:42:40,360
Speaker 1: is the money on the other side of that, you know,

748
00:42:40,520 --> 00:42:43,800
Speaker 1: who who's balancing that out by looking out for people

749
00:42:43,920 --> 00:42:47,520
Speaker 1: who are getting wrongly convicted. It's like public defenders and

750
00:42:47,600 --> 00:42:51,240
Speaker 1: ship you know, like people who are you know, not

751
00:42:51,239 --> 00:42:55,600
Speaker 1: not making any money. And then you know, also it

752
00:42:55,640 --> 00:42:57,799
Speaker 1: would be interesting to look at the source thing of

753
00:42:57,840 --> 00:43:01,040
Speaker 1: that local news story because they got to try it

754
00:43:01,040 --> 00:43:04,399
Speaker 1: out themselves, like a fun little like party game. So

755
00:43:04,719 --> 00:43:08,399
Speaker 1: they obviously did that story with the cooperation of the

756
00:43:08,560 --> 00:43:14,719
Speaker 1: DNA evidence like company that they were reporting on. So

757
00:43:15,160 --> 00:43:19,279
Speaker 1: also just the political ramifications of like circulating pictures of

758
00:43:19,440 --> 00:43:23,319
Speaker 1: people at Nebula, Like yeah, yeah, I was just thinking,

759
00:43:23,320 --> 00:43:25,399
Speaker 1: I like met someone recently. He was like, oh, yeah,

760
00:43:25,560 --> 00:43:27,919
Speaker 1: I really hope Donald Trump runs again. I don't really

761
00:43:27,920 --> 00:43:29,520
Speaker 1: agree with him on anything, but like crime, we have

762
00:43:29,600 --> 00:43:31,759
Speaker 1: to close the border. You know. He's like these illegals,

763
00:43:31,800 --> 00:43:34,040
Speaker 1: they're like causing He's like, what did he say? He

764
00:43:34,080 --> 00:43:36,319
Speaker 1: was like, my wife got mugged the other day. I

765
00:43:36,360 --> 00:43:38,080
Speaker 1: was like, how do you know it was an illegal immigrant,

766
00:43:38,120 --> 00:43:40,120
Speaker 1: and he was like, you don't and this guy was

767
00:43:40,160 --> 00:43:42,200
Speaker 1: an immigrant, you know, he was like, you don't know,

768
00:43:42,280 --> 00:43:44,360
Speaker 1: it wasn't an illegal immigrant. You know. It just plays

769
00:43:44,400 --> 00:43:50,360
Speaker 1: into like this larger political paranoia that we're so. So

770
00:43:50,640 --> 00:43:53,280
Speaker 1: it's like for some people to number one voting issue

771
00:43:53,280 --> 00:43:55,440
Speaker 1: above everything else is like, am I safe as my

772
00:43:55,480 --> 00:43:59,080
Speaker 1: family safe against like these other these other people. So

773
00:43:59,280 --> 00:44:03,200
Speaker 1: that's so to imagine just like more imagery, more faces,

774
00:44:04,360 --> 00:44:07,279
Speaker 1: more more images put up on TV of like this

775
00:44:07,400 --> 00:44:12,560
Speaker 1: is maybe probably a danger people with this like ethnic background,

776
00:44:12,560 --> 00:44:16,239
Speaker 1: Like that's terrifying, right, yeah, I mean yeah, people are

777
00:44:16,280 --> 00:44:20,319
Speaker 1: definitely going through mean world syndrome of just having that

778
00:44:20,400 --> 00:44:22,880
Speaker 1: just put right back in their face. And you know,

779
00:44:22,960 --> 00:44:26,680
Speaker 1: we talked about the proliferation of like ring cameras and

780
00:44:26,880 --> 00:44:30,160
Speaker 1: home surveillance and all this other stuff and like the

781
00:44:30,200 --> 00:44:33,240
Speaker 1: fucking next door app and ship like that just feeds

782
00:44:33,320 --> 00:44:36,640
Speaker 1: and feeds and feeds. You're like, if you have, if

783
00:44:36,640 --> 00:44:41,840
Speaker 1: you're your cognitive biases, biases aimed towards what the folks

784
00:44:41,840 --> 00:44:44,400
Speaker 1: going on out there, everything is so fucking unsafe. There's

785
00:44:44,480 --> 00:44:47,200
Speaker 1: no shortage of ways to fucking freak yourself out. There's

786
00:44:47,200 --> 00:44:50,240
Speaker 1: no fucking like you could turn on any fucking channel,

787
00:44:50,560 --> 00:44:53,799
Speaker 1: look at any app whatever, there's something to reinforce that.

788
00:44:54,200 --> 00:44:57,080
Speaker 1: And yeah, it's it's becoming a really effective tool and

789
00:44:57,120 --> 00:44:59,560
Speaker 1: it's the entire it's one of the biggest things Republicans

790
00:44:59,600 --> 00:45:02,440
Speaker 1: are running on now. It's like a crime wave that's

791
00:45:02,480 --> 00:45:06,839
Speaker 1: not there. Yeah, there's money in the fear. Yeah, all right,

792
00:45:06,920 --> 00:45:09,760
Speaker 1: let's take a quick break. We'll come back. We'll talk

793
00:45:09,920 --> 00:45:24,320
Speaker 1: about men's wear. And we're back, and so are the Teletubbies.

794
00:45:25,080 --> 00:45:29,839
Speaker 1: Thank god. I Yeah, So I was like you, Miles

795
00:45:29,960 --> 00:45:33,880
Speaker 1: that when when the first wave of Teletubbies hit, I

796
00:45:34,000 --> 00:45:38,000
Speaker 1: was too old to give a ship and like, you know,

797
00:45:38,120 --> 00:45:41,200
Speaker 1: too far away from having children to even like conceive

798
00:45:41,360 --> 00:45:43,279
Speaker 1: of ever giving a ship about this sort of thing.

799
00:45:43,840 --> 00:45:48,680
Speaker 1: But it was this big media like the place it

800
00:45:48,760 --> 00:45:53,320
Speaker 1: did across my radar was a media panic about whether

801
00:45:53,360 --> 00:45:59,280
Speaker 1: it was like instituting evil satanic or you know, queer

802
00:45:59,320 --> 00:46:04,080
Speaker 1: ideality g into babies. Like this is a show. So

803
00:46:04,160 --> 00:46:08,880
Speaker 1: I thought like, as yeah, this is this is a

804
00:46:09,000 --> 00:46:12,400
Speaker 1: show that like the uh, this is a our writer,

805
00:46:12,560 --> 00:46:15,239
Speaker 1: jam put this story together, you know, did a lot

806
00:46:15,239 --> 00:46:18,960
Speaker 1: of awesome research and I watched telent Tubby's footage for

807
00:46:19,000 --> 00:46:23,000
Speaker 1: the first time, and it is very strange. Have you guys,

808
00:46:23,120 --> 00:46:27,719
Speaker 1: have you guys watched any of this footage or came out.

809
00:46:27,800 --> 00:46:31,280
Speaker 1: I remember being just because I was like like find

810
00:46:31,360 --> 00:46:33,160
Speaker 1: what is it? And I remember like, oh, this is

811
00:46:33,200 --> 00:46:36,280
Speaker 1: like for babies, because like they're not even we're using words,

812
00:46:36,760 --> 00:46:39,759
Speaker 1: you know what I mean, Like it's like es, Yeah,

813
00:46:39,800 --> 00:46:43,279
Speaker 1: it's all just rolling hills, a son that has a

814
00:46:43,280 --> 00:46:47,759
Speaker 1: baby's face inside of it, and so that that's what

815
00:46:47,840 --> 00:46:50,560
Speaker 1: it was originally. So one controversy with a new one.

816
00:46:50,719 --> 00:46:52,880
Speaker 1: We'll just get into that because this is probably the

817
00:46:52,880 --> 00:46:55,880
Speaker 1: news hook you'll see is that the redesign, you know,

818
00:46:56,360 --> 00:46:59,440
Speaker 1: the same way that like Star Wars, fans will like

819
00:46:59,520 --> 00:47:01,880
Speaker 1: don't want anything change, They just want you to release

820
00:47:02,040 --> 00:47:06,600
Speaker 1: the same movie again. I guess this Teletubby's update. People

821
00:47:06,600 --> 00:47:10,399
Speaker 1: are mad because instead of being inside a cartoons son,

822
00:47:11,000 --> 00:47:15,200
Speaker 1: the baby's head is just floating out in space like

823
00:47:15,239 --> 00:47:17,920
Speaker 1: out in the sky, and then their sunbeams behind the

824
00:47:17,920 --> 00:47:21,480
Speaker 1: baby's head, and people are like, that's weird that. On

825
00:47:21,520 --> 00:47:28,760
Speaker 1: the other hand, the original the original design also extremely strange.

826
00:47:29,160 --> 00:47:31,680
Speaker 1: So I'm not I'm not sure I can like fully

827
00:47:31,760 --> 00:47:36,600
Speaker 1: understand any complaints actual criticism where people look. It's not

828
00:47:36,680 --> 00:47:40,719
Speaker 1: in the sun, it's not in a radiating sunbeam. Yeah

829
00:47:40,800 --> 00:47:43,839
Speaker 1: that that doesn't surprise me at all. But yeah, that

830
00:47:43,840 --> 00:47:46,799
Speaker 1: that is apparently a complaint that some people have had.

831
00:47:46,840 --> 00:47:49,359
Speaker 1: What they just dropped the first trailer last week. So

832
00:47:49,480 --> 00:47:51,040
Speaker 1: what we'll see if this has any what do you

833
00:47:51,080 --> 00:47:54,680
Speaker 1: call like the ultra fans, like the ultras for Teletubi,

834
00:47:54,760 --> 00:48:00,439
Speaker 1: is there like the yeah tubos, tubbers, Telly's tubes, Tuburrinos. Yeah,

835
00:48:00,480 --> 00:48:03,600
Speaker 1: but there there's like a people article those like Reboot

836
00:48:03,640 --> 00:48:06,600
Speaker 1: looks mostly unchanged in design, but some fans have been

837
00:48:06,680 --> 00:48:09,920
Speaker 1: left raging at one major difference, and it's just that

838
00:48:10,360 --> 00:48:16,080
Speaker 1: the baby's head. One fan me from fans me and

839
00:48:17,000 --> 00:48:19,560
Speaker 1: muttering under my breath when I first saw it. But

840
00:48:20,239 --> 00:48:23,480
Speaker 1: it is it is such a strange universe they've created,

841
00:48:23,560 --> 00:48:26,080
Speaker 1: and it seems it does seem it seems very psychedelic,

842
00:48:26,200 --> 00:48:30,320
Speaker 1: which kind of makes sense because like a lot of

843
00:48:30,400 --> 00:48:33,560
Speaker 1: the understanding, or you know, at least theories on like

844
00:48:33,680 --> 00:48:37,440
Speaker 1: what psychedelics do for people's minds as they like remove

845
00:48:37,640 --> 00:48:42,480
Speaker 1: all the doors are like, you know, different filters we've

846
00:48:42,520 --> 00:48:44,840
Speaker 1: built up over life just to like be able to

847
00:48:45,160 --> 00:48:47,480
Speaker 1: get through day to day life, so you know, be

848
00:48:47,600 --> 00:48:53,240
Speaker 1: able to focus on something boring, and psychedelics like allow

849
00:48:53,280 --> 00:48:54,960
Speaker 1: you to peel those backs, so you're just at a

850
00:48:55,000 --> 00:48:57,520
Speaker 1: place where there's like none of these filters and everything's

851
00:48:57,600 --> 00:49:03,680
Speaker 1: coming in kind of unfiltered, and that would seem to

852
00:49:03,719 --> 00:49:06,120
Speaker 1: be like how a baby would perceive the world. And

853
00:49:06,200 --> 00:49:10,640
Speaker 1: when you spend time with babies, you do also have

854
00:49:10,880 --> 00:49:13,640
Speaker 1: that thought you're like, oh man, they they seem like

855
00:49:13,680 --> 00:49:16,960
Speaker 1: they're tripping like the stuff that they're interested in, Like

856
00:49:17,120 --> 00:49:21,320
Speaker 1: they're just like the plants are growing, the the grass

857
00:49:21,680 --> 00:49:25,719
Speaker 1: is moving. How do my bones move me? Is the

858
00:49:26,480 --> 00:49:29,080
Speaker 1: trippiest question one of my kids asked me that I

859
00:49:29,160 --> 00:49:31,239
Speaker 1: can remember. But that's just like part of the course.

860
00:49:31,320 --> 00:49:35,520
Speaker 1: They're constantly saying ship where you're like, what the fuck

861
00:49:36,360 --> 00:49:38,920
Speaker 1: are you talking about? But I think so, I think

862
00:49:39,040 --> 00:49:42,680
Speaker 1: just generally it makes people uncomfortable because there is like

863
00:49:42,880 --> 00:49:47,560
Speaker 1: a a logic there that resonates with their inner child

864
00:49:47,719 --> 00:49:50,400
Speaker 1: or their inner baby. I guess inner baby is completely

865
00:49:50,480 --> 00:49:54,080
Speaker 1: different from inner child. And and that's like the thing

866
00:49:54,200 --> 00:49:58,040
Speaker 1: that Teletubby's does that other media for children doesn't do,

867
00:49:58,200 --> 00:50:01,239
Speaker 1: is it It actually seems to create a world specifically

868
00:50:01,400 --> 00:50:06,359
Speaker 1: for babies using baby logic. Actually this this story made

869
00:50:06,400 --> 00:50:10,680
Speaker 1: me like go and Google just have have people watched

870
00:50:10,840 --> 00:50:14,200
Speaker 1: Teletubby's while tripping and like what was their experience like?

871
00:50:15,120 --> 00:50:18,640
Speaker 1: And I will say I can't recommend it for for

872
00:50:18,800 --> 00:50:22,719
Speaker 1: everyone based on the like some one person who's like

873
00:50:22,920 --> 00:50:26,880
Speaker 1: die hard was like love watching the Teletubbies where when tripping.

874
00:50:27,120 --> 00:50:30,719
Speaker 1: This is a direct quote from a from a mushroom

875
00:50:30,840 --> 00:50:34,440
Speaker 1: and enthusiasts for them. I taped them in the morning

876
00:50:34,520 --> 00:50:36,000
Speaker 1: to see what it would be like to watch them

877
00:50:36,040 --> 00:50:38,600
Speaker 1: while on trooms and it was the coolest. They're cute

878
00:50:38,640 --> 00:50:41,160
Speaker 1: and everything in the show is super colorful. Can't watch

879
00:50:41,239 --> 00:50:43,680
Speaker 1: them without laughing my ass off that we bring the

880
00:50:43,760 --> 00:50:46,360
Speaker 1: child out in you. I guarantee it. But then, like

881
00:50:46,440 --> 00:50:48,880
Speaker 1: some of the responses to this, we're like, this is

882
00:50:49,320 --> 00:50:51,759
Speaker 1: do not listen to this person Like I when I

883
00:50:51,880 --> 00:50:55,120
Speaker 1: watched it, I saw like demons in the sun Baby.

884
00:50:55,600 --> 00:50:58,600
Speaker 1: I swear it like the sun Baby as it's about

885
00:50:58,640 --> 00:51:01,239
Speaker 1: to dissolve into some light turns into a demon For

886
00:51:01,600 --> 00:51:05,040
Speaker 1: first split second. This person was like, big tip, if

887
00:51:05,120 --> 00:51:08,120
Speaker 1: someone's having a bad trip, turn on the lights, put

888
00:51:08,200 --> 00:51:11,359
Speaker 1: on a Teletubby tape and set the person who is sad,

889
00:51:11,480 --> 00:51:14,319
Speaker 1: mad scared whatever in front of the TV and give

890
00:51:14,400 --> 00:51:17,000
Speaker 1: them a blanket or a pillow. I don't think that's

891
00:51:17,040 --> 00:51:20,200
Speaker 1: good advice necessarily. You could, you could try it, but

892
00:51:20,640 --> 00:51:23,520
Speaker 1: I mean they might attack your television. I like that

893
00:51:23,640 --> 00:51:28,760
Speaker 1: we're finally looking, we're finally doing real research into psilocybin

894
00:51:29,080 --> 00:51:32,279
Speaker 1: and baby vibes as a way to heal people. But

895
00:51:32,320 --> 00:51:34,560
Speaker 1: I also like the idea of Teletubby's like as this

896
00:51:34,680 --> 00:51:36,880
Speaker 1: like roor Schock test of like, dude, watch it and

897
00:51:36,960 --> 00:51:39,280
Speaker 1: you're either going to be like this is fucking crazy.

898
00:51:39,560 --> 00:51:42,960
Speaker 1: I can't handle it right or you're like, oh, this

899
00:51:43,160 --> 00:51:45,880
Speaker 1: is like some dumbass baby shit, but I get it,

900
00:51:46,000 --> 00:51:50,879
Speaker 1: like because you're like I'm baby, Yeah exactly. But I mean,

901
00:51:51,040 --> 00:51:53,920
Speaker 1: like just random controversies are pretty part of the course.

902
00:51:54,000 --> 00:51:56,920
Speaker 1: Like we said, there's backlash from parents who thought the

903
00:51:56,960 --> 00:52:01,600
Speaker 1: show was dangerous nonsense. Others pointed out it was dumbing down,

904
00:52:01,880 --> 00:52:08,280
Speaker 1: the simplicity was like damaging, well, you know. Education experts

905
00:52:08,320 --> 00:52:12,520
Speaker 1: said the simplicity was exactly the point. There's like constant repetition.

906
00:52:14,239 --> 00:52:17,320
Speaker 1: Some people were like, the plots are just crap. There's

907
00:52:17,680 --> 00:52:21,160
Speaker 1: there's no sense of place. The camera placement doesn't make

908
00:52:21,280 --> 00:52:25,560
Speaker 1: any sense. Is like yeah, I like the fucking characters

909
00:52:25,600 --> 00:52:29,040
Speaker 1: are called like inky Winky and like boppy Lulu, like

910
00:52:29,480 --> 00:52:32,040
Speaker 1: what and you're like I don't know. I mean the

911
00:52:32,160 --> 00:52:35,920
Speaker 1: ms on scene like huh, come on? And then they

912
00:52:36,000 --> 00:52:39,439
Speaker 1: try and get real for one episode, like the one

913
00:52:40,000 --> 00:52:42,520
Speaker 1: where they had a bear coming to tell a tubby

914
00:52:42,640 --> 00:52:47,120
Speaker 1: land and it became it was like outlawed in various countries,

915
00:52:47,239 --> 00:52:50,840
Speaker 1: censored by the BBC because it was too scary. I

916
00:52:50,960 --> 00:52:55,720
Speaker 1: watched like five minutes of it. It's truly, It's actually

917
00:52:55,800 --> 00:52:58,319
Speaker 1: not as creepy as like a lot of the commentary

918
00:52:58,560 --> 00:53:01,640
Speaker 1: makes it seem like the Air. I think I might

919
00:53:01,680 --> 00:53:04,880
Speaker 1: have seen the one that was like post some editorial changes.

920
00:53:05,320 --> 00:53:08,719
Speaker 1: But the bear just like talks with a silly like

921
00:53:09,080 --> 00:53:12,319
Speaker 1: I'm a bear and I'm here to eat whatever I want.

922
00:53:12,560 --> 00:53:16,080
Speaker 1: And you know, it still has the sunshiny vibes. There

923
00:53:16,200 --> 00:53:19,600
Speaker 1: is a voice that repeatedly tells them to like run

924
00:53:19,719 --> 00:53:21,880
Speaker 1: and hide from the bear, which is dark here at

925
00:53:22,080 --> 00:53:28,160
Speaker 1: I think we're gonna play a little a second. Um,

926
00:53:28,480 --> 00:53:32,600
Speaker 1: there's the bear. Is it like two dimensional cardboard? I'm

927
00:53:32,680 --> 00:53:37,719
Speaker 1: the ball, I'm the bath with brown fuzzy hair. Okay, Jack,

928
00:53:37,760 --> 00:53:40,360
Speaker 1: we gotta we gotta knock this ship off. It's fucking crazy.

929
00:53:41,120 --> 00:53:47,040
Speaker 1: It's they could have posted by NASCAR fan. Yeah, so

930
00:53:47,840 --> 00:53:50,200
Speaker 1: I caught up some teletubby stuff from time to time.

931
00:53:50,280 --> 00:53:53,400
Speaker 1: It says this is custom made, so maybe this isn't

932
00:53:53,520 --> 00:53:56,800
Speaker 1: like pure Teletubby. He's like, look, man, I'm in a

933
00:53:56,920 --> 00:54:00,480
Speaker 1: Nascar and Freedom and Freedom also next sends to the

934
00:54:00,600 --> 00:54:05,520
Speaker 1: media where I will upload the unedited Lyon and Bear

935
00:54:05,640 --> 00:54:10,480
Speaker 1: Teletubby's episode The Red Band trailer of So this is

936
00:54:10,520 --> 00:54:16,759
Speaker 1: not very um okay looking over there because it has

937
00:54:16,840 --> 00:54:27,480
Speaker 1: like always that the bear max. Okay, so the lion

938
00:54:27,600 --> 00:54:31,000
Speaker 1: is chasing the bear. So there, children are learning about

939
00:54:31,000 --> 00:54:34,319
Speaker 1: the killer be Killed world of Yeah, did you know where?

940
00:54:35,480 --> 00:54:37,400
Speaker 1: I don't know? Okay, fine, I remember the thing with

941
00:54:37,520 --> 00:54:40,359
Speaker 1: Jerry Folwell was because the one was purple and had

942
00:54:40,440 --> 00:54:43,040
Speaker 1: the triangle like thing on their head. They're like, you

943
00:54:43,200 --> 00:54:48,920
Speaker 1: see right, I study I study gay semiotics. I know

944
00:54:49,160 --> 00:54:52,440
Speaker 1: about this stuff. And that was the big That was

945
00:54:52,480 --> 00:54:55,520
Speaker 1: the big thing. That there's a character. I think it's

946
00:54:55,600 --> 00:55:00,080
Speaker 1: Tinky Winky who wears a two two and carry is

947
00:55:00,120 --> 00:55:04,120
Speaker 1: a purse and is a boy and or is I

948
00:55:04,239 --> 00:55:09,160
Speaker 1: guess like the gender gender fluid. And because it was

949
00:55:09,239 --> 00:55:14,480
Speaker 1: the nineties. Instead of being like that's there's nothing wrong

950
00:55:14,600 --> 00:55:18,919
Speaker 1: with that, they were like, what you're wrong, It's a bag. Yeah,

951
00:55:19,040 --> 00:55:25,880
Speaker 1: it's a bag who gives us. So I don't know,

952
00:55:26,040 --> 00:55:28,680
Speaker 1: like I can just I can see this being a

953
00:55:29,520 --> 00:55:33,399
Speaker 1: a thing for the right to come back with when

954
00:55:33,520 --> 00:55:39,120
Speaker 1: when they're already you know, responding to Like I think

955
00:55:39,239 --> 00:55:43,600
Speaker 1: when we see a cultural reboot that was like something

956
00:55:43,800 --> 00:55:46,520
Speaker 1: was popular in the nineties and then it comes back

957
00:55:46,760 --> 00:55:51,000
Speaker 1: and basically the same form in our modern world. Like

958
00:55:51,160 --> 00:55:55,040
Speaker 1: we saw this recently with hocus Pocus, where a mom

959
00:55:55,280 --> 00:55:58,080
Speaker 1: was like and there was a witch on my TV,

960
00:55:58,560 --> 00:56:01,279
Speaker 1: and like that is say it and it's like, oh,

961
00:56:01,440 --> 00:56:05,080
Speaker 1: we've moved, We've moved backwards. This is this is like

962
00:56:05,280 --> 00:56:09,600
Speaker 1: we're we're we're regressing culturally. So this is just another

963
00:56:09,680 --> 00:56:12,720
Speaker 1: one where I would be on the lookout for another

964
00:56:12,840 --> 00:56:16,879
Speaker 1: example of the right finding a way to freak out

965
00:56:16,960 --> 00:56:19,239
Speaker 1: out this. I think it really is like in this way,

966
00:56:19,400 --> 00:56:23,279
Speaker 1: it does say something about your subconscious where if you're

967
00:56:23,840 --> 00:56:26,360
Speaker 1: sat in front of a piece of media that doesn't

968
00:56:26,440 --> 00:56:31,040
Speaker 1: have like an overt structure or narrative, that you begin

969
00:56:31,120 --> 00:56:35,240
Speaker 1: to fill the gaps with the weirdest ship. Right. Really,

970
00:56:35,560 --> 00:56:38,600
Speaker 1: we're going with oh no, I know what they're trying

971
00:56:38,640 --> 00:56:41,640
Speaker 1: to tell a baby through this thing now is just

972
00:56:41,880 --> 00:56:44,839
Speaker 1: really I don't know, telling of whether like how how

973
00:56:45,400 --> 00:56:47,719
Speaker 1: how like much our intellects have just gone in the

974
00:56:47,800 --> 00:56:49,680
Speaker 1: gutter where people don't even know how to just sit

975
00:56:49,760 --> 00:56:51,680
Speaker 1: in that and be like huh, I don't know what

976
00:56:51,800 --> 00:56:54,600
Speaker 1: that was, okay, fine, or be like I hate when

977
00:56:54,640 --> 00:56:56,520
Speaker 1: it's quiet. I don't like to be with my thoughts.

978
00:56:56,600 --> 00:56:58,920
Speaker 1: So a TV show, which is the equivalent of being

979
00:56:59,000 --> 00:57:01,080
Speaker 1: with my thoughts is the kind of place I want

980
00:57:01,080 --> 00:57:03,960
Speaker 1: to be. Therefore, I can project all this other weird

981
00:57:04,360 --> 00:57:08,600
Speaker 1: nonsense into it. Yeah, hard to know, hard to know. Yeah,

982
00:57:08,920 --> 00:57:12,480
Speaker 1: I mean it's definitely weird, but so are the minds

983
00:57:12,680 --> 00:57:18,120
Speaker 1: of babies. And like all programming directed at babies, like

984
00:57:18,280 --> 00:57:21,800
Speaker 1: The Blues Crew or Blues Clues, is that the one

985
00:57:21,840 --> 00:57:24,080
Speaker 1: where they just like turned to the camera and they're like,

986
00:57:24,200 --> 00:57:26,439
Speaker 1: what do you think and then sit there and wait

987
00:57:26,520 --> 00:57:30,400
Speaker 1: for you to answer, Like that's very strange. That is

988
00:57:30,480 --> 00:57:35,120
Speaker 1: an uncanny experience that like would be just as easy

989
00:57:35,200 --> 00:57:39,800
Speaker 1: to be, you know, to feel like they're demonstrating, you know,

990
00:57:39,960 --> 00:57:45,520
Speaker 1: that they are autonomous slaves to the Illuminati, because they're

991
00:57:45,600 --> 00:57:50,040
Speaker 1: just there's long periods of silence that make me feel uncomfortable.

992
00:57:50,760 --> 00:57:56,160
Speaker 1: So it's it's I think, into and into this culture

993
00:57:56,160 --> 00:57:58,560
Speaker 1: that we find ourselves dealing with. There's going to be

994
00:57:59,560 --> 00:58:04,840
Speaker 1: over actions from a right that is going further and further,

995
00:58:05,080 --> 00:58:07,800
Speaker 1: just spinning further and further away from the planet and

996
00:58:09,280 --> 00:58:14,120
Speaker 1: in any sort of gravitational force of reality. And this

997
00:58:14,400 --> 00:58:18,400
Speaker 1: feels like just pay dirt for them. So it'll be

998
00:58:18,480 --> 00:58:24,280
Speaker 1: interesting to see. But my familiarity with content, especially produced

999
00:58:24,480 --> 00:58:28,280
Speaker 1: a material on the television, is that it has to

1000
00:58:28,360 --> 00:58:31,360
Speaker 1: go through like a lot of you know, yes, is

1001
00:58:31,520 --> 00:58:33,960
Speaker 1: you got, and then even beyond like pitching it to

1002
00:58:34,040 --> 00:58:36,840
Speaker 1: a room you might have a writer's room of if

1003
00:58:36,880 --> 00:58:39,680
Speaker 1: something is birthed out of cable access, right, yeah, I

1004
00:58:39,720 --> 00:58:41,880
Speaker 1: mean my friends have these weird costumes. We got them.

1005
00:58:41,920 --> 00:58:44,920
Speaker 1: We are traveling abroad and we started filming ourselves just

1006
00:58:45,120 --> 00:58:47,520
Speaker 1: making baby sounds. And so I won't pick that up like,

1007
00:58:47,600 --> 00:58:50,320
Speaker 1: oh that was the beginning of teletuppies. That would make

1008
00:58:50,400 --> 00:58:53,280
Speaker 1: sense as opposed to like someone going into a room,

1009
00:58:54,120 --> 00:58:56,560
Speaker 1: opening a briefcase and like setting out So here here's

1010
00:58:56,600 --> 00:59:00,960
Speaker 1: what I'm thinking. People just sitting there like I'm trying

1011
00:59:01,040 --> 00:59:04,480
Speaker 1: to follow you this is I appreciate you pitching to us,

1012
00:59:04,560 --> 00:59:07,800
Speaker 1: but go through it again. So I wear this suit,

1013
00:59:07,920 --> 00:59:10,000
Speaker 1: my friend, where is this one? We make these sounds?

1014
00:59:10,080 --> 00:59:13,320
Speaker 1: It's like a star child baby thing. Wait, we've we've

1015
00:59:13,400 --> 00:59:16,800
Speaker 1: studied babies. Who says yes on that? Are they just

1016
00:59:16,920 --> 00:59:19,080
Speaker 1: like yeah, I mean that's that's our network. We just

1017
00:59:19,160 --> 00:59:22,920
Speaker 1: try anything. Go for some Europe that's definitely where that happens,

1018
00:59:23,040 --> 00:59:25,680
Speaker 1: not in the United States. But I think people that

1019
00:59:25,840 --> 00:59:29,200
Speaker 1: have like extreme dogmas are like, no, this was yeah,

1020
00:59:29,280 --> 00:59:34,400
Speaker 1: like the Illuminati purposefully putting together all these ingredients. It's like, yeah,

1021
00:59:34,840 --> 00:59:38,520
Speaker 1: right when the Aqua Bats fell apart as a ska band,

1022
00:59:38,840 --> 00:59:41,880
Speaker 1: they knew they that was a setup move for Yo

1023
00:59:42,080 --> 00:59:48,200
Speaker 1: Gabba Gabba, Like what just the sky wave crested and

1024
00:59:48,280 --> 00:59:50,120
Speaker 1: then they found themselves in a good position. But I

1025
00:59:50,280 --> 00:59:53,200
Speaker 1: was curious if like I was gonna be able to

1026
00:59:53,280 --> 00:59:56,520
Speaker 1: find somebody who like tripped and watched teletub yous with

1027
00:59:56,600 --> 00:59:59,560
Speaker 1: like baby mindset, and they were like yeah, it's actually

1028
00:59:59,640 --> 01:00:02,120
Speaker 1: just like very straightforward and it feels like you're just

1029
01:00:02,200 --> 01:00:06,680
Speaker 1: watching a PowerPoint presentation. This all makes total sense if

1030
01:00:06,720 --> 01:00:09,680
Speaker 1: you are in a baby's mind. It's like very clear

1031
01:00:10,560 --> 01:00:12,160
Speaker 1: and I'm sorry, I'm sorry, And how would you know

1032
01:00:12,320 --> 01:00:15,720
Speaker 1: how you would be inside of a baby's mind? I

1033
01:00:15,840 --> 01:00:20,120
Speaker 1: was on a significant amount of LSD. Okay, it was

1034
01:00:20,840 --> 01:00:24,320
Speaker 1: such a strange affect on people. Years later at a

1035
01:00:24,400 --> 01:00:27,560
Speaker 1: lunch you know, with that just I've made it kind

1036
01:00:27,600 --> 01:00:30,160
Speaker 1: of well, look, it's cute you think that. But when

1037
01:00:30,200 --> 01:00:34,640
Speaker 1: I was making tubbies about pitch, the thing about a

1038
01:00:34,720 --> 01:00:37,240
Speaker 1: great pitch, and I know I learned this on tubbies.

1039
01:00:38,000 --> 01:00:41,680
Speaker 1: There's someone that had that, like stacks of money from Teletubbies,

1040
01:00:42,200 --> 01:00:45,760
Speaker 1: such a dick calling tinky Winky wink because like they

1041
01:00:45,800 --> 01:00:47,480
Speaker 1: have to come up with a nickname. That makes it

1042
01:00:47,560 --> 01:00:51,840
Speaker 1: clearly my friend Tony in the first two years and

1043
01:00:52,080 --> 01:00:55,080
Speaker 1: what a diva couldn't get him in the costume? If

1044
01:00:55,120 --> 01:00:56,720
Speaker 1: I wait, throw Buddy and throw a Bundy and every

1045
01:00:56,720 --> 01:01:03,960
Speaker 1: problems I go out all day. That's right, shoot, all right,

1046
01:01:04,280 --> 01:01:08,080
Speaker 1: that's gonna do it for this week's weekly Zeite, guys,

1047
01:01:08,280 --> 01:01:12,040
Speaker 1: please like and review the show. If you like the show,

1048
01:01:12,680 --> 01:01:17,040
Speaker 1: uh means the world of Miles. He needs your validation, folks.

1049
01:01:17,680 --> 01:01:20,720
Speaker 1: I hope you're having a great weekend and I will

1050
01:01:20,760 --> 01:01:22,080
Speaker 1: talk to him Monday. By