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Speaker 1: I don't know.

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Speaker 2: I did not think that it was like treated as

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Speaker 2: we'll pay you to advertise or movie. But that makes

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Speaker 2: sense because.

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Speaker 1: There's every other venue gets money to play an ad

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Speaker 1: when you play their ads, right. But yeah, but also

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Speaker 1: it's a little different because the movie theater is also

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Speaker 1: the place where you it's.

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Speaker 2: Arguably to Yeah, they're advertising their own product. Yeah, but

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Speaker 2: maybe they're not. That's my question. I think everybody's paying

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Speaker 2: Nicole Kidman. Yeah, it's all flowing back to her.

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Speaker 1: If she had any if she wanted to fully vertically integrate,

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Speaker 1: she would just buy a trailer house and fucking just

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Speaker 1: own every that whole twenty five minutes. That's Kidman.

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Speaker 2: She just like comes in and is like ooh. After

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Speaker 2: every trailer, they just cut back to Nicole Kidman being

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Speaker 2: like enjoying the trailer.

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Speaker 1: Damn.

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Speaker 2: Yeah, I mean why not because when you're watching Morebius,

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Speaker 2: your family, she's not when you're here your family. That's

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Speaker 2: all off garden. But it feels like the sort of

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Speaker 2: thing you could say.

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Speaker 1: Right because there's something in the yeah, the magic in

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Speaker 1: a place like this.

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Speaker 2: Yeah, because when you're here, you should be watching herself

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Speaker 2: in Baby Girl. Yes, Yeah, Yeah, he having some.

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Speaker 1: Baby girl milk crazy having some milk.

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Speaker 2: Yeah, I didn't. I didn't see baby girls. Just going

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Speaker 2: off of what I know.

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Speaker 1: Babies, there's milk in it. It works on two levels. Yeah, yeah,

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Speaker 1: baby having milk in that.

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Speaker 3: Yeah.

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Speaker 2: Hello the Internet and welcome to Season three, seventy three,

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Speaker 2: Episode two of dar Day's I Guys stayt of iHeartRadio.

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Speaker 2: Oh hell yeah brother. This is a podcast where we

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Speaker 2: take a deep dive into america shared consciousness. We now

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Speaker 2: have a YouTube channel, YouTube slash at Daily's like guys,

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Speaker 2: you can go check out YouTube. You can go see

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Speaker 2: some video apps. It's Tuesday, January twenty eighth, twenty twenty five.

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Speaker 2: My name is Jack O'Brien AKA Deep Seek. Yeah coded

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Speaker 2: on the down low, the shit in the pants of

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Speaker 2: many tech bross. That one courtesy of Christy Amagucci Mane

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Speaker 2: a little creep from TLC and speaking of tea. Thrilled

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Speaker 2: to be joined in our mile seat by hilarious and

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Speaker 2: brilliant producer and TV writer you know him from the

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Speaker 2: jozas Racist podcast.

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Speaker 1: It's Andrew T. I'm just I'm the come clean. Normally

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Speaker 1: I don't have an AKA because I got asked to

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Speaker 1: Last Minute is the single mostly time I've ever had

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Speaker 1: for I'm gonna be guest hosting, and I completely forgot

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Speaker 1: a k A U I T I yeah T I T.

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Speaker 2: T Bazz was the of the crazy sexy cool album

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Speaker 2: I believe I don't.

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Speaker 1: Know correct yeah yeah, Last.

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Speaker 2: Chili was sexy cool and you don't know what we're

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Speaker 2: talking about.

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Speaker 1: And the best Karen haircut have her possible?

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Speaker 2: I believe T Bazz she was.

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Speaker 1: She's the T Baz was the only good person to

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Speaker 1: have that haircut.

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Speaker 2: It's so interesting how influential she is with Karens. The

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Speaker 2: Karens were like, just give me the ta buzz. Anyways,

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Speaker 2: we Andrew are thrilled to be joined in our third

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Speaker 2: seat by a poet and lawyer who is the co

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Speaker 2: founder and executive director of Partners for Justice, which is

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Speaker 2: does to create a new model of collaborative public defense

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Speaker 2: designed to on power. You probably read her dive on

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Speaker 2: Twitter into Project twenty twenty five last year. Well, now

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Speaker 2: Project twenty twenty five is here, and so is she.

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Speaker 2: Please welcome back to the show, Emily Galvin Almonza.

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Speaker 3: Thank you so much for having me without without any

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Speaker 3: ak's at all, just notorious in my own right.

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Speaker 2: Glad to be here, The Notorious and Malee if that's something.

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Speaker 1: Squire, yeah, I'll take it.

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Speaker 2: I'll take it. Yeah, the Notorious ESQ. It's great to

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Speaker 2: have you. Thank you so much for coming back during

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Speaker 2: these these wonderful times. It turns out that Project twenty

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Speaker 2: twenty five stuff that you are warning us about, no

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Speaker 2: big deal everything, Everything turned out pretty Wait, I'm seeing

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Speaker 2: here that is not the case.

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Speaker 1: It's bad.

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Speaker 2: It's bad. So we're gonna talk about that. We're going

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Speaker 2: to talk about that. We're also going to talk about

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Speaker 2: something that following you on Twitter made me aware of,

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Speaker 2: which is that Kroger and Microsoft doing a little collabo

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Speaker 2: to use your face to give you not boutique. What's

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Speaker 2: the thing where it's like gatory predatory pricing, predatory pricing.

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Speaker 2: I was going to say bespoke, but that's probably how

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Speaker 2: the it was, like, you know.

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Speaker 3: Bespoke suits are better. This is like making something worse.

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Speaker 3: So it's like the opposite.

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Speaker 2: Of a spoke. We're presenting you with bespoke egg prices

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Speaker 2: that are designed to charge you as much money as

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Speaker 2: you are willing to pay. We're definitely going to talk

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Speaker 2: about a bill that would force movie theaters to admit

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Speaker 2: when the movie actually starts. All of that plenty more.

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Speaker 2: But first, Emily, we do like to ask our guests,

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Speaker 2: what is something from your search history?

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Speaker 3: Oh my gosh, I looked it up for you. Ex

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Speaker 3: said you were going to ask me this, and I

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Speaker 3: realized the last thing I searched for was Locutus of Borg.

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Speaker 3: Because we are now, yes, I have a seven year old.

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Speaker 3: We are phenomenal parents, which means we watch way too

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Speaker 3: much Star Trek in the evenings when we're exhausted after work.

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Speaker 3: So from school were we're dipping into Star Trek the

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Speaker 3: next generation. Now we're like at that point where Patrick

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Speaker 3: Stewart's character is about to be overtaken by the Borg collective,

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Speaker 3: and I wanted to prep the kid for it, mostly

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Speaker 3: so that she doesn't talk about it too much at school.

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Speaker 3: We've already had a complaint from another parent that she

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Speaker 3: frightened their child by talking about the Borg.

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Speaker 2: So, so explain the Borg to me, as though I'm

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Speaker 2: not a Star Trek fan.

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Speaker 3: Oh man, okay, so the Borg are. I'm going to

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Speaker 3: pretend that you're pretending, because of course you are, as

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Speaker 3: all good people are The Borg collective is a sort

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Speaker 3: of species of quasi species that assimilates other species by

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Speaker 3: taking them over, putting technology to their heads, basically making

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Speaker 3: them part of a hive mind. And so every creature

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Speaker 3: in the universe is at risk of becoming co opted

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Speaker 3: by this this hive mind and forced to serve the

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Speaker 3: goals of the Borg queen.

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Speaker 1: Yah.

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Speaker 3: There's a lot of parallels, a lot of parallels you.

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Speaker 1: Can talk about.

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Speaker 2: Yes, I have heard references to this. I think maybe

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Speaker 2: in the Simpsons if you've ever heard of that show.

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Speaker 3: Well, yeah, I don't know.

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Speaker 2: Yeah, how are you making I have a six and

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Speaker 2: an eight year old. We were trying to decide what

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Speaker 2: to watch this weekend. It was a dude house weekend.

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Speaker 2: My wife was out of town. I was like, they

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Speaker 2: still haven't seen Back to the Future. Amazing, We're gonna

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Speaker 2: show them back to the future. And then I told

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Speaker 2: another parent that and they were like, uh so there's

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Speaker 2: that whole like runner about incest and I was like, yeah, okay,

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Speaker 2: like in the scene where like the people are getting

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Speaker 2: shot with machine guns and so I just pumped the

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Speaker 2: brakes on it. But we are you just kind of

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Speaker 2: vibing it out? How do you How intentional are you

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Speaker 2: on your decision making on what to show your seven

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Speaker 2: year old.

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Speaker 3: I made a fantastic decision early, which is that I

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Speaker 3: don't want to watch any kid stuff. So she just

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Speaker 3: has to figure out what things of my of the

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Speaker 3: things I actually want to watch, we can watch together,

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Speaker 3: which result in a lot of like nineteen fifties musicals consume.

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Speaker 1: Yeah, oh wowk Yeah.

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Speaker 3: And then you know, she reads a lot, and I

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Speaker 3: can't read faster than she does, so she's getting a

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Speaker 3: lot of content in the books she's reading that I

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Speaker 3: can't keep up with.

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Speaker 1: Yeah.

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Speaker 3: I try to just gauge from her reactions what she's

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Speaker 3: comfortable with, like, for example, only murders in the Building

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Speaker 3: Steve Martin, Martin short Selena Gormas. She loves it. Okay,

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Speaker 3: there's death in the show. There's but it's like a

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Speaker 3: game of clue.

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Speaker 2: Suggest you know that one doesn't sneak up on you.

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Speaker 2: I had a feeling there death in that one.

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Speaker 3: Yeah, And honestly, like a lot of the like Back

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Speaker 3: to the Future, I would not assume that the kids

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Speaker 3: would even pick up on. Sure, the ancest joke I

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Speaker 3: try to just went from like really gory stuff, although

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Speaker 3: she defeated me in that too. There was a while

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Speaker 3: when she was like four or five and she got

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Speaker 3: really into those veterinarian shows on like whatever reality channel

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Speaker 3: just has like doctor Pole, like with his arm all

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Speaker 3: the way up inside a cow. She was really into that.

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Speaker 1: So, yeah, does that count as gore in your mind?

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Speaker 1: I can really think viscera technically gore, I guess would be.

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Speaker 1: I'm not a parent. Yeah, if it's of.

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Speaker 3: My biological interest, I'm down. If it's gratuitous, not really sure.

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Speaker 2: And super producer Victor, who is the into that sort

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Speaker 2: of thing, uh no, he says that those types of

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Speaker 2: shows get super bloody.

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Speaker 1: Out of nowhere, as does medicine, so does surgery.

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Speaker 2: Yeah.

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Speaker 1: Wait, we talked about this a little bit yesterday. I

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Speaker 1: can't believe. Not I can't believe, but I am impressed

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Speaker 1: that you have a seven year old in twenty twenty

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Speaker 1: five who can handle the pacing of TNG. I think

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Speaker 1: I'm watching as an adult. I'm watching my attention span

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Speaker 1: not be able to handle stuff made in the nineties,

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Speaker 1: like just like story wise, and I guess editing wise.

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Speaker 1: So I think that is amazing.

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Speaker 3: Honestly, Hey, I protected her from the brain rot that

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Speaker 3: got all of us. Man, She's like she's never been

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Speaker 3: on YouTube, but she you know, reads Enid Blyton, so

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Speaker 3: TG is like exactly the right vibe for her.

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Speaker 2: Right level. Yeah yeah, I yeah. We were talking about

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Speaker 2: how there's a thing called the millennial pause on videos

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Speaker 2: where with millennials, who are the old ones in this scenario,

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Speaker 2: they take like quarter of a second to put their

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Speaker 2: phone down before they start talking, and whereas gen Z

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Speaker 2: starts talking as they're putting their phone down, and like

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Speaker 2: the millennial pause is like making fun of millennials really

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Speaker 2: not for not knowing how fast media, like how grabby

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Speaker 2: media is supposed to be, because there's a split second

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Speaker 2: at the very beginning of their videos where they're putting

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Speaker 2: their still putting their phone down. So that's where we're

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Speaker 2: at for people who on YouTube. I've managed to keep

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Speaker 2: mine off of that, but I did make the mistake

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Speaker 2: of showing my eight year old Transformers and so he

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Speaker 2: has Michael Michael Bay in his veins.

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Speaker 1: All the live action transit.

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Speaker 2: Yeah yeah, oh my god, fucked up. I made a

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Speaker 2: bus mistake.

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Speaker 1: There's just like it's just like a huge, like a

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Speaker 1: human being made out of knives.

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Speaker 2: It's so pleasant, that's what he's into. What is Emily

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Speaker 2: something you think is underrated?

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Speaker 3: I think that the commitment of teachers to protect their

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Speaker 3: students right now has been heavily underrated. I'm thinking about

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Speaker 3: this a lot, obviously, because the conversation right now is

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Speaker 3: how far into schools will immigration enforcement get? And you're

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Speaker 3: hearing a lot from these schools that are trying to

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Speaker 3: get ready for ice agents showing up the door and

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Speaker 3: wanting to take children out of school. And I think

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Speaker 3: we've really underrated the fact that we've got teachers now

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Speaker 3: who have been in these classrooms for decades knowing that

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Speaker 3: there's a chance they might have to take a bullet

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Speaker 3: for one of these kids, right. And I don't think

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Speaker 3: that the government has really thought through how ferociously a

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Speaker 3: teacher who's willing to die for their students will protect

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Speaker 3: them from being taken by men with guns.

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Speaker 1: Right.

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Speaker 3: So I think the ferocity of teachers has been substantially underrated.

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Speaker 2: Yeah, yeah, I'm seeing people talking about that and you know,

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Speaker 2: working together on that question of like how to avoid

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Speaker 2: having them use that those students' access to public education

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Speaker 2: or education to against their families.

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Speaker 3: Well, can I have a lawyer in your moment, not

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Speaker 3: just for may I please, may I please. So, what

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Speaker 3: I'm liking that I'm seeing from a lot of schools

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Speaker 3: is that schools are ready to look for judicial warrants.

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Speaker 3: This is really important. I'm going to put it out

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Speaker 3: of here right now, because anybody who's listening to this

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Speaker 3: should be told that ICE will often kind of show

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Speaker 3: up with like their own law warrant that they made

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Speaker 3: for themselves, and it's not actually a warrant, it's just

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Speaker 3: a document that they wrote for themselves saying, hey, I

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Speaker 3: have the right to talk to you in public. Well,

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Speaker 3: guess what, ICE, you always have the right to talk

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Speaker 3: to people in public. They don't have to talk to you,

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Speaker 3: they have a right not to talk to you, right,

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Speaker 3: But they make this document. Then when people say, hey,

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Speaker 3: do you have a warrant, they show them this document,

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Speaker 3: which is, guess what, not a judicial warrant.

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Speaker 2: Right.

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Speaker 3: If somebody's saying they have the right to come into

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Speaker 3: your school, or your home or your business, and if

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Speaker 3: they want to enter, they're like vampires. You have to

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Speaker 3: either invite them in or they have to have a

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Speaker 3: judicial warrant that has like the name of a court

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Speaker 3: on it, and it's actually signed by a judge, and

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Speaker 3: it actually has this address of this location printed on

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Speaker 3: it where the judge has signed and affirmed that. So

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Speaker 3: what I want people to know is if ICE shows

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Speaker 3: up at your house or your business and they're like, hey,

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Speaker 3: you have to let us in, and you say, hey, yeah,

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Speaker 3: where's your warrant and they don't have a piece of

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Speaker 3: paper signed by a judge, treat them like vampires right

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Speaker 3: there you go.

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Speaker 1: Yeah, and I also heard is don't even open your door,

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Speaker 1: talk to them through the door. And they will also

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Speaker 1: break all kinds of rules, right.

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Speaker 2: Yeah, yeah, and they will. They're like vampires if vampires

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Speaker 2: could arbitrarily just break the rules sometimes and be like, ah,

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Speaker 2: fuck it, what are what are the consequences?

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Speaker 3: I admit I'm not aware of the full scope of

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Speaker 3: what vampires are capable of.

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Speaker 2: Yeah, I think they're physically like they try to get

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Speaker 2: to the door like vampires. So basically I'm saying vampires

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Speaker 2: are better than I sations.

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Speaker 3: I would also definitely rather have vampires at the door,

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Speaker 3: Yeah for sure.

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Speaker 1: Yeah.

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Speaker 2: Yeah, what is something you think is overrated?

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Speaker 3: M generally chat bots like you keep talking about how

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Speaker 3: y'all it's so great, and these chatbots can like write

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Speaker 3: stuff for you. First of all, whenever somebody gives me

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Speaker 3: a document that has some like chat bot authorship, it's

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Speaker 3: very apparent. Sure, But also like the use cases I've

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Speaker 3: had for they lie all the time. In the law.

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Speaker 3: They're really bad because they'll often just like make up

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Speaker 3: cases that sound really plausible that don't really exist. And

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Speaker 3: you're like torching millions of gallons of water to have

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Speaker 3: some very bland pros produced for you that probably is

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Speaker 3: full of lies.

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Speaker 2: It just doesn't feel like it's unreliable.

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Speaker 1: Yes, yeah, yeah.

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Speaker 2: We were talking about this on last week's episode, that

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Speaker 2: the Google AI like answer. At the beginning, I was

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Speaker 2: trying to find out what scene happens forty five minutes

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Speaker 2: into Jaws, A perfectly understandable question because back when the

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Speaker 2: movie first came out, somebody died of a heart attack

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Speaker 2: forty five minutes into Jaws, or at least that's what

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Speaker 2: the movie's marketing. What have you believe? So I was like,

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Speaker 2: what scene did it? You know? And I googled that,

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Speaker 2: and Google's AI result gave me the most confident answer.

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Speaker 2: It was like, forty five minutes into Jaws. This is

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Speaker 2: the most famous scene of the movie where a woman

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Speaker 2: swimmer is attacked by a shark and it's the first

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Speaker 2: time you see the shark and Chief Brody says, we're

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Speaker 2: going to need a bigger boat. So they combined like

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Speaker 2: four different parts of the Yeah, they just combined all

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Speaker 2: the different scenes of the movie and said that that

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Speaker 2: was but so confidently, no hint that they're just making

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Speaker 2: it up because they want to please to Eddy, which

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Speaker 2: is what I'm interesting. But yeah, it's really a bet product.

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Speaker 1: Yeah, yeah, it seemed I was. I did a trivia

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Speaker 1: night last night at a bar where one of the

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Speaker 1: questions is one you could google ahead and the sort

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Speaker 1: of long story short version is I We got the

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Speaker 1: correct answer even though we knew it was incorrect because

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Speaker 1: the AI summary at the very top said the incorrect

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Speaker 1: set of facts. And we were like the trivia question

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Speaker 1: writer who probably makes minimum wage ish, right, definitely didn't

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Speaker 1: look past the AI summary. So whatever AI summary says

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Speaker 1: is the answer, even though it is factually incorrect. Right, Yeah,

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Speaker 1: you just got to hack one level higher of whatever

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Speaker 1: the user is going to be doing. And it's so

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Speaker 1: it's the.

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Speaker 3: Way we're amazing at trivia night going to be real

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Speaker 3: bad in like emergency medicine.

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Speaker 2: Right, yeah, yeah, yeah, exactly.

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Speaker 1: Well, I mean I think it's like sort of proven

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Speaker 1: that the fact that its maximum use case seems to

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Speaker 1: be cheating in college is it is exactly that it's

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Speaker 1: like a bad college student worth of.

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Speaker 2: Brain cheating to get to be like a C student

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Speaker 2: in college.

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Speaker 1: It seems to be well not even brain. Sorry, but

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Speaker 1: just like ojibberish.

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Speaker 2: Yeah, I mean that Deep Seek, the Chinese AI product

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Speaker 2: that is cratering the tech economy as of yesterday at least,

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Speaker 2: was like that one of the features that they have

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Speaker 2: is rather than trying to do the mechanical turk thing

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Speaker 2: and like make it a magic trick behind the scenes,

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Speaker 2: you're able to look at like how it shows between

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Speaker 2: different answers and like what the logic was, like that

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Speaker 2: it shows you under the hood, because again, it's not

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Speaker 2: a product that they're trying to like make billions of

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Speaker 2: dollars better than yeah they're and they're not trying Yeah,

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Speaker 2: they're not trying to value with the magic trick. They're like,

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Speaker 2: this is a thing we've researched that you using it

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Speaker 2: helps us continue to research and make better So that

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Speaker 2: seems better, but yeah, I think probably it will still

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Speaker 2: be like and the answer is like write sixty percent

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Speaker 2: of the time.

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Speaker 3: I don't know any curated data sets that the ones

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Speaker 3: that work from curated data sets where all the data

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Speaker 3: coming in is screened. I like, I'm good with like

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Speaker 3: a better search interface. That's fine, letting things loose on

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Speaker 3: the internet, just.

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Speaker 1: Yeah, right, yeah, yeahah, the famous not chock full of

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Speaker 1: lies Internet.

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Speaker 2: Right, exactly, good data set. Let's take a quick break

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Speaker 2: and we'll come back and talk about executive orders. We'll

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Speaker 2: be right back, and we're back. And so, Emily, you

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Speaker 2: are a lawyer who understands how all of these various

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Speaker 2: things that you know understood when Project twenty twenty five

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Speaker 2: was released, like what the implications of all these various

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Speaker 2: things mean. And now the executive orders have been issued,

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Speaker 2: the pens have been thrown into a cheering crowd like

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Speaker 2: their fucking Lebron's arm bands. But just to like start

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Speaker 2: not to go again, like you're gonna have to work

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Speaker 2: with me here and just pretend this is gonna be

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Speaker 2: hard for you. Pretend that I'm an idiot who doesn't

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Speaker 2: know exactly what executive orders are, how they work just

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Speaker 2: for one hundred miles up. What what are these executive

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Speaker 2: orders that and like we've been told they're and like

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Speaker 2: that's why Biden and you know other Democrats weren't using them,

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Speaker 2: and yet Trump came and like just dropped, flooded the

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Speaker 2: zone with bullshit, flooded the zone with executive orders. And

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Speaker 2: now it seems like there's a lot of action happening

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Speaker 2: as a result of those executive orders. So just like

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Speaker 2: trying to find the answer in all that madness.

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Speaker 3: Yeah, so I think first of all, we can start

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Speaker 3: off with one thing that I think you're not an

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Speaker 3: idiot if you don't know this. A lot of people

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Speaker 3: don't know this, that an executive order is not the

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Speaker 3: same as a law past by Congress.

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Speaker 2: Right.

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Speaker 3: An executive order does have some legal force, but it's

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Speaker 3: basically a thing that the President said the executive branch

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Speaker 3: is going to do, and the president only has the

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Speaker 3: ability to direct certain people in agencies. So anything that's

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Speaker 3: under the executive branch of our government, that's a lot

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Speaker 3: of stuff. Because all those big administrative agencies that you

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Speaker 3: hear about, or the Department of Justice, the Department of Health,

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Speaker 3: the Department of the Department transportation. He can direct all

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Speaker 3: of those agencies about how they're going to function, what

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Speaker 3: policies they're going to use, how they're going to hire

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Speaker 3: and fire. Like he can do a lot of that

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Speaker 3: direction through these executive orders. He cannot, though, do a

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Speaker 3: lot of the stuff that he's trying. Me he's kind

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Speaker 3: of treating executive orders like a magic wand or a

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Speaker 3: genie in a bottle, like trying to erase the fourteenth

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Speaker 3: Amendment on Martin Luther King Junior day, Like that's what

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Speaker 3: he's trying to do with some of these orders, and

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Speaker 3: you can't. There's a reason that order got stopped in

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Speaker 3: its tracks about fifteen minutes after it left his desk,

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Speaker 3: because there are limits to what executive orders can do.

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Speaker 3: That being said, there's also a lot of avenues in

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Speaker 3: which agencies have a ton of power. So how he

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Speaker 3: directs ICE to perform immigration enforcement, for example, or how

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Speaker 3: he directs other agencies to address drug prices, or how

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Speaker 3: he you know, directs environmental policy, all of that can

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Speaker 3: be impacted by executive orders.

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Speaker 2: Got it. And so the idea that like Biden could

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Speaker 2: be because like so that there's looking at the past

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Speaker 2: residential terms that have used executive orders. I think in

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Speaker 2: late December, Biden had issued about one hundred and sixty.

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Speaker 2: Trump during his first full term did two hundred and twenty.

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Speaker 2: FDR did three thousand, seven hundred and twenty one, which

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Speaker 2: I guess he was president for a number of years,

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Speaker 2: but that's still.

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Speaker 1: It's still a lot.

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Speaker 2: So it seems like, I don't know, I had just

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Speaker 2: always heard, yeah, well, we're not gonna like use executive

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Speaker 2: orders because of it's set a bad, bad president and ultimately,

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Speaker 2: like you know, could be overturned. But it feels, you know,

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Speaker 2: as as somebody who's not a fan of these particular

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Speaker 2: executive orders, like they're I don't know, like when when

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Speaker 2: you're a sports fan and the other team does the

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Speaker 2: thing you don't want them to do, that's usually the

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Speaker 2: right thing, you know. It's like, oh that that makes

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Speaker 2: me uncomfortable. Therefore that's probably the the they're thing. They're

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Speaker 2: doing the thing that like we're everybody like wish they

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Speaker 2: weren't doing, which the way that the government currently runs

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Speaker 2: seems like is the correct way for them to do

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Speaker 2: all the authoritarianism that they have in mind. So I

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Speaker 2: guess I'm just curious to hear like, what do you

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Speaker 2: think of this strategy like throwing a bunch of these

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Speaker 2: at the wall and some of them being outside the

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Speaker 2: purview of like a normal executive order and some of

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Speaker 2: them being just like making a statement essentially. Do you

440
00:23:29,080 --> 00:23:32,520
Speaker 2: think that that is going to work? Do you think

441
00:23:32,640 --> 00:23:37,280
Speaker 2: that do you wish that more progressive presidential if you

442
00:23:37,280 --> 00:23:41,080
Speaker 2: can imagine a more progressive presidential administration than this one,

443
00:23:41,600 --> 00:23:46,520
Speaker 2: that more progressive presidential administrations like we should be wanting

444
00:23:46,560 --> 00:23:47,080
Speaker 2: them to do.

445
00:23:48,080 --> 00:23:50,640
Speaker 3: So we're at this really difficult crossroads, right, which is that,

446
00:23:51,640 --> 00:23:54,560
Speaker 3: first of all, the idea that Donald Trump would not

447
00:23:54,720 --> 00:23:58,520
Speaker 3: do something because Biden refrained from doing it is hilarious

448
00:23:58,560 --> 00:23:59,760
Speaker 3: to me, like, oh, we wouldn't want to set a

449
00:23:59,800 --> 00:24:02,800
Speaker 3: bad president because clearly, if we don't do the bad thing,

450
00:24:02,840 --> 00:24:05,280
Speaker 3: donald Trump will also not do the bad thing He's

451
00:24:05,280 --> 00:24:07,000
Speaker 3: gonna do. He's gonna if you put a button in

452
00:24:07,000 --> 00:24:08,560
Speaker 3: front of me, he's gonna push it. He's gonna push

453
00:24:08,560 --> 00:24:10,160
Speaker 3: the button until the button breaks.

454
00:24:10,320 --> 00:24:14,200
Speaker 1: But also not just Donald Trump, like Mitch McConnell, Nut Gingridge, Yes,

455
00:24:14,480 --> 00:24:17,479
Speaker 1: every Republican leader since I've been alive and I'm pretty

456
00:24:17,480 --> 00:24:22,320
Speaker 1: old like it. It is just the weird that it's

457
00:24:22,359 --> 00:24:25,080
Speaker 1: it's to me, it's so weirdly willful. It's like, Oh,

458
00:24:25,200 --> 00:24:28,520
Speaker 1: we wouldn't want this, wouldn't want to break this norm

459
00:24:28,960 --> 00:24:31,840
Speaker 1: against the team that only breaks norms.

460
00:24:31,920 --> 00:24:34,600
Speaker 2: Yeah, that has absolutely no compunction about breaking norms and

461
00:24:34,640 --> 00:24:36,160
Speaker 2: in fact seems to do it for fun.

462
00:24:36,600 --> 00:24:39,960
Speaker 3: Well, they've also realized something, which is that whether something

463
00:24:40,119 --> 00:24:42,880
Speaker 3: works has nothing to do with whether it is supposed

464
00:24:42,920 --> 00:24:45,639
Speaker 3: to work or legally structured to work. It has everything

465
00:24:45,640 --> 00:24:48,120
Speaker 3: to do with whether you can get people to change

466
00:24:48,119 --> 00:24:51,159
Speaker 3: their behavior based on what you're doing. Like if an

467
00:24:51,200 --> 00:24:53,640
Speaker 3: executive order is issued that's not supposed to work at all,

468
00:24:53,760 --> 00:24:56,120
Speaker 3: but people take action based on it, nobody stops them,

469
00:24:56,280 --> 00:24:57,080
Speaker 3: then it worked.

470
00:24:57,240 --> 00:24:57,440
Speaker 2: Yeah.

471
00:24:57,520 --> 00:24:59,399
Speaker 3: So I think there's a certain amount of like just

472
00:24:59,560 --> 00:25:02,080
Speaker 3: try and stuff that we see now and we're going

473
00:25:02,160 --> 00:25:05,280
Speaker 3: to see continually for the next several years. I think

474
00:25:05,320 --> 00:25:08,840
Speaker 3: Democrats could absolutely benefit for more just try and stuff.

475
00:25:09,200 --> 00:25:13,760
Speaker 3: I mean, obviously I don't condone trying to erase a

476
00:25:13,800 --> 00:25:18,199
Speaker 3: constitutional amendment by FIAT. It's very silly and no one

477
00:25:18,200 --> 00:25:21,440
Speaker 3: should do that. But at the same time, I think

478
00:25:21,600 --> 00:25:24,920
Speaker 3: there is a certain amount of creativity and a certain

479
00:25:24,920 --> 00:25:30,200
Speaker 3: amount of precedent breaking activity that is appropriate. I think

480
00:25:30,240 --> 00:25:33,000
Speaker 3: we were not designed to live in a you know this,

481
00:25:33,000 --> 00:25:36,119
Speaker 3: this government was not designed to be fully static and

482
00:25:36,160 --> 00:25:38,360
Speaker 3: frozen in the past. Don't tell Clarence Thomas, he would

483
00:25:38,400 --> 00:25:40,760
Speaker 3: absolutely tell you it's frozen in the past. But in general,

484
00:25:40,840 --> 00:25:43,280
Speaker 3: like evolution and trying new stuff is good and probably

485
00:25:43,320 --> 00:25:44,359
Speaker 3: Democrats could do more of it.

486
00:25:45,040 --> 00:25:48,320
Speaker 2: Yeah, yeah, I mean FDR like there is some stuff

487
00:25:48,359 --> 00:25:51,760
Speaker 2: going on in his during the time that he was president,

488
00:25:52,240 --> 00:25:55,360
Speaker 2: I think, right, I have that, right, he yeah, he had,

489
00:25:55,440 --> 00:25:59,680
Speaker 2: there is some stuff and he you know, he was

490
00:25:59,720 --> 00:26:03,640
Speaker 2: willing to just up there working things out, trying things out.

491
00:26:03,720 --> 00:26:04,840
Speaker 2: You know, it's like, is this something?

492
00:26:05,119 --> 00:26:05,280
Speaker 1: Is it?

493
00:26:05,400 --> 00:26:08,400
Speaker 2: Well? What about the twenty one?

494
00:26:08,640 --> 00:26:11,800
Speaker 1: Not to be a completely left wing lunatic, but I

495
00:26:11,840 --> 00:26:14,800
Speaker 1: will just point out that it does a little bit.

496
00:26:14,880 --> 00:26:18,960
Speaker 1: At this point seem like the Democrats did govern the

497
00:26:19,000 --> 00:26:21,919
Speaker 1: way they wanted to. And it's not a matter of

498
00:26:21,960 --> 00:26:24,080
Speaker 1: not trying stuff. It's that they didn't want to try

499
00:26:24,080 --> 00:26:28,000
Speaker 1: that stuff. Right, They're not big d Democrats are not

500
00:26:28,080 --> 00:26:32,199
Speaker 1: interested in those good things. Yeah, it seems to me

501
00:26:32,400 --> 00:26:38,359
Speaker 1: as an idiot, me a complete idiot, it would seem that, Yeah,

502
00:26:38,520 --> 00:26:41,639
Speaker 1: I mean, these ideas were raised, they did not happen

503
00:26:41,880 --> 00:26:45,000
Speaker 1: over the past four years at times when a lot

504
00:26:45,000 --> 00:26:46,600
Speaker 1: of unprecedented ship was happening.

505
00:26:46,960 --> 00:26:52,320
Speaker 2: That bad stuff, not unprecedentedly fun good stuff. Let's talk

506
00:26:52,359 --> 00:26:56,359
Speaker 2: about just the the you know, the executive actions that

507
00:26:56,359 --> 00:27:00,000
Speaker 2: that are jumping out to you, Emily as somebody who's

508
00:27:00,240 --> 00:27:03,320
Speaker 2: kind of following this. I actually don't know if all

509
00:27:03,320 --> 00:27:06,240
Speaker 2: of these are executive orders, but these are the ones

510
00:27:06,280 --> 00:27:10,000
Speaker 2: that have kind of popped, have really popped for me.

511
00:27:10,600 --> 00:27:13,199
Speaker 2: I don't know why I'm getting Hollywood executive here, but

512
00:27:13,880 --> 00:27:17,320
Speaker 2: so we have the mass raids on undocumented people in

513
00:27:17,359 --> 00:27:22,600
Speaker 2: the US and their families, which that is an executive.

514
00:27:22,200 --> 00:27:25,680
Speaker 3: Order, right, yeah, directing ICE, directing ICE enforcement.

515
00:27:25,760 --> 00:27:25,960
Speaker 1: Yes.

516
00:27:26,280 --> 00:27:29,480
Speaker 2: Scrapping cancer research is that.

517
00:27:28,880 --> 00:27:33,199
Speaker 3: That had to do a lot with freezing the NIH

518
00:27:33,240 --> 00:27:38,520
Speaker 3: and freezing funding, hiring, firing, the purchasing of supplies for research,

519
00:27:38,840 --> 00:27:40,840
Speaker 3: which resulted in a lot of labs having to let

520
00:27:40,880 --> 00:27:43,800
Speaker 3: people go stop their research they don't have personnel or supplies,

521
00:27:44,000 --> 00:27:47,760
Speaker 3: Like you can't do major medical research without money. Sure,

522
00:27:47,800 --> 00:27:52,120
Speaker 3: And what's really terrible is that by interrupting a lot

523
00:27:52,119 --> 00:27:54,640
Speaker 3: of the work of these labs, we're setting that research back.

524
00:27:54,680 --> 00:27:56,760
Speaker 3: It's not like a lot of this work can just

525
00:27:56,800 --> 00:27:58,760
Speaker 3: be sort of like picked right back up where you

526
00:27:58,840 --> 00:28:01,760
Speaker 3: left off six months now. And it's not just cancer,

527
00:28:01,800 --> 00:28:05,280
Speaker 3: it's Alzheimer's research. It's like a huge quantity of research

528
00:28:05,320 --> 00:28:08,680
Speaker 3: that makes the United States a valuable place to be

529
00:28:08,680 --> 00:28:11,880
Speaker 3: because of its medical advancement capacity. Yeah, we just threw

530
00:28:11,920 --> 00:28:13,240
Speaker 3: that in the trash and lit it on fire.

531
00:28:13,680 --> 00:28:18,720
Speaker 2: What is that? Not that I think there's great reasoning

532
00:28:18,840 --> 00:28:23,040
Speaker 2: behind any of this ship, but I am confused how

533
00:28:23,080 --> 00:28:26,879
Speaker 2: that even ties into any agenda or like any set

534
00:28:26,960 --> 00:28:32,760
Speaker 2: of you know, politics, like any political posturing is like

535
00:28:33,280 --> 00:28:35,560
Speaker 2: we actually think we should see what.

536
00:28:37,040 --> 00:28:40,880
Speaker 3: We hang out with any MAGA people lately, because I mean,

537
00:28:41,000 --> 00:28:43,120
Speaker 3: what I hear a lot of is that they believe

538
00:28:43,160 --> 00:28:45,360
Speaker 3: that all of these researchers are like that it all

539
00:28:45,360 --> 00:28:47,840
Speaker 3: comes back to Fauci and it's all corrupt and it's

540
00:28:47,880 --> 00:28:51,400
Speaker 3: training the swamp. And we're like, I don't think anybody's

541
00:28:51,400 --> 00:28:55,560
Speaker 3: given a lot of critical thought to what if what

542
00:28:55,680 --> 00:28:59,800
Speaker 3: if the researchers are not secretly corrupt oligarchs, but what

543
00:28:59,840 --> 00:29:02,640
Speaker 3: if they actually are people who are poised to save lives,

544
00:29:02,640 --> 00:29:05,240
Speaker 3: perhaps lives within your family sometime in the next few

545
00:29:05,280 --> 00:29:07,440
Speaker 3: years if we let them. I think there's just this

546
00:29:07,560 --> 00:29:12,200
Speaker 3: huge perception of corruption in the medical community, and I'm

547
00:29:12,200 --> 00:29:14,720
Speaker 3: not sure where that comes from. Certainly I could talk

548
00:29:14,760 --> 00:29:17,880
Speaker 3: about it in context related to medicine and health insurance,

549
00:29:18,440 --> 00:29:21,400
Speaker 3: but yeah, when it comes to like hating on cancer researchers,

550
00:29:21,440 --> 00:29:22,920
Speaker 3: I don't get it. But it's a thing that the

551
00:29:22,920 --> 00:29:23,880
Speaker 3: MAGA folks seem to do.

552
00:29:24,240 --> 00:29:27,520
Speaker 1: Yeah, yeah, okay, honestly, And that's the kind of toughest

553
00:29:27,560 --> 00:29:29,680
Speaker 1: thing is like all this data is going to be

554
00:29:29,760 --> 00:29:34,560
Speaker 1: so entangled with our shitty healthcare system that it's not

555
00:29:34,600 --> 00:29:36,760
Speaker 1: even even going to be clear that as a direct

556
00:29:36,800 --> 00:29:40,000
Speaker 1: outcome of this, like life expectancy or health outcomes are

557
00:29:40,000 --> 00:29:42,720
Speaker 1: worse in the United States because they're already so much

558
00:29:42,720 --> 00:29:45,680
Speaker 1: worse than the rest of the like you know, equivalently

559
00:29:45,760 --> 00:29:48,960
Speaker 1: rich world, that like we're never going to be able

560
00:29:49,000 --> 00:29:52,480
Speaker 1: to prove prove until, like I said this Yesterda, until

561
00:29:52,480 --> 00:29:55,560
Speaker 1: Polio's back, but like even then.

562
00:29:55,960 --> 00:29:58,520
Speaker 2: With any of this shit, I feel like we're in

563
00:29:58,560 --> 00:30:01,880
Speaker 2: a really bad position to make those cases because of

564
00:30:01,960 --> 00:30:03,240
Speaker 2: how the.

565
00:30:03,280 --> 00:30:05,600
Speaker 1: Media general healthcare system.

566
00:30:05,560 --> 00:30:07,840
Speaker 2: How bads a general healthcare is. But just all of

567
00:30:08,160 --> 00:30:12,280
Speaker 2: like them very disappointed in the New York Times.

568
00:30:12,600 --> 00:30:14,800
Speaker 3: I mean, it's it's hard to prove a negative, but

569
00:30:14,920 --> 00:30:16,600
Speaker 3: if the New York Times wanted to, and I'm with

570
00:30:16,640 --> 00:30:18,960
Speaker 3: you that they don't want to at all. Right, I mean,

571
00:30:19,000 --> 00:30:21,920
Speaker 3: you could look at over the next few years, how

572
00:30:21,960 --> 00:30:25,160
Speaker 3: many new pharmaceuticals are patented, how many new treatments medical

573
00:30:25,200 --> 00:30:27,760
Speaker 3: devices like. You could look at patents. You could look

574
00:30:27,760 --> 00:30:29,760
Speaker 3: at drugs hitting the market. You could look at requests

575
00:30:29,760 --> 00:30:32,120
Speaker 3: for FDA approval, you could look at all you could

576
00:30:32,160 --> 00:30:34,280
Speaker 3: look at new techniques being published in medical journals. You

577
00:30:34,280 --> 00:30:35,880
Speaker 3: could look at the rate at which US researchers are

578
00:30:35,880 --> 00:30:38,760
Speaker 3: publishing generally. I mean, there's all of these metrics that

579
00:30:38,880 --> 00:30:43,880
Speaker 3: we expect to see slow down when you defund medical research.

580
00:30:43,880 --> 00:30:47,040
Speaker 2: Right, Yeah, the other ones I have pulling the US

581
00:30:47,080 --> 00:30:50,360
Speaker 2: out of the World Health Organization recognizing only two genders,

582
00:30:51,200 --> 00:30:55,360
Speaker 2: turning DEI into like not not just removing funding for DEI,

583
00:30:55,520 --> 00:30:59,440
Speaker 2: but like you know, saying that people need to report

584
00:30:59,760 --> 00:31:03,800
Speaker 2: and anyone they see doing a DEI. I guess is

585
00:31:03,960 --> 00:31:07,080
Speaker 2: the idea. By the way, I did hear somebody pointed

586
00:31:07,120 --> 00:31:12,360
Speaker 2: out that roy Cone came from McCarthyism, So like that

587
00:31:12,520 --> 00:31:17,840
Speaker 2: like roy Cone was worked and like learned under McCarthy.

588
00:31:18,040 --> 00:31:20,360
Speaker 2: So it does make sense that there's this like direct

589
00:31:20,440 --> 00:31:22,840
Speaker 2: line from McCarthyism.

590
00:31:22,200 --> 00:31:25,240
Speaker 3: Too, Trump, Well, it's not just in the federal government.

591
00:31:25,240 --> 00:31:26,880
Speaker 3: There are a lot of people are talking about that EO,

592
00:31:27,200 --> 00:31:30,120
Speaker 3: Like it's just amongst federal employees, right, like, if the

593
00:31:30,120 --> 00:31:33,200
Speaker 3: guy at the cubical nextsu is seeming a little too diverse,

594
00:31:33,240 --> 00:31:37,920
Speaker 3: you better report. But it's also giving these agencies a

595
00:31:38,000 --> 00:31:42,680
Speaker 3: directive to select up to nine entities in the private

596
00:31:42,760 --> 00:31:46,719
Speaker 3: sector that they would like to investigate for compliance. So

597
00:31:46,760 --> 00:31:49,320
Speaker 3: it's also poisoning the federal government to engage in. And

598
00:31:49,520 --> 00:31:53,120
Speaker 3: we're already seeing the impact in like cowardly big companies

599
00:31:53,280 --> 00:31:57,120
Speaker 3: scrubbing any mention of diversity and ending any diversity programs,

600
00:31:57,120 --> 00:31:59,680
Speaker 3: and less cowardly companies refusing to do so, which is

601
00:31:59,720 --> 00:32:05,240
Speaker 3: kind of well to see. But it's McCarthyism writ large

602
00:32:05,440 --> 00:32:07,880
Speaker 3: in the DEI context. I think also we're going to

603
00:32:07,920 --> 00:32:10,200
Speaker 3: see that in the immigration context, with like pressure to

604
00:32:10,200 --> 00:32:13,560
Speaker 3: turn people over and compliance pressures of all kinds. So yeah,

605
00:32:13,560 --> 00:32:15,920
Speaker 3: they're absolutely trying to create a society in which people

606
00:32:15,920 --> 00:32:18,680
Speaker 3: are afraid of their neighbors and afraid to be snitched

607
00:32:18,720 --> 00:32:20,520
Speaker 3: on by their colleagues.

608
00:32:20,760 --> 00:32:25,800
Speaker 2: For being too diverse. Yeah, yeah, yeah, a person's way

609
00:32:25,800 --> 00:32:26,920
Speaker 2: too into diversity.

610
00:32:27,280 --> 00:32:30,600
Speaker 1: It's like actually, like I'm I am curious this speed

611
00:32:30,880 --> 00:32:33,360
Speaker 1: for which this will have repercussions. I mean the immigration

612
00:32:33,520 --> 00:32:38,200
Speaker 1: thing is like if that actually happened, would actually tank

613
00:32:38,280 --> 00:32:44,240
Speaker 1: the agricultural industry. So like you know, if the Trump

614
00:32:44,280 --> 00:32:47,920
Speaker 1: people were mad at the price of eggs, then like

615
00:32:48,400 --> 00:32:52,040
Speaker 1: what the fuck is I'm just like curious, like if

616
00:32:52,080 --> 00:32:53,000
Speaker 1: anything will ever.

617
00:32:54,440 --> 00:32:56,720
Speaker 3: I'm in California, there's we're on our local news. We're

618
00:32:56,720 --> 00:32:59,520
Speaker 3: seeing like fruit sitting in the fields. It's orange season,

619
00:32:59,600 --> 00:33:02,880
Speaker 3: like nothing, like yeah, yeah, it's understandable. It's especially understandable

620
00:33:02,880 --> 00:33:05,760
Speaker 3: because when you're not inside a building, you don't have

621
00:33:05,800 --> 00:33:08,240
Speaker 3: the same Fourth Amendment protections. It's actually a huge issue.

622
00:33:08,240 --> 00:33:11,080
Speaker 3: We see, for example, unhoused people don't have the same

623
00:33:11,160 --> 00:33:13,160
Speaker 3: rights against search and seizure because they don't have a

624
00:33:13,240 --> 00:33:15,480
Speaker 3: home which someone would need a warrant to enter, so

625
00:33:15,520 --> 00:33:18,520
Speaker 3: they don't get this particular constitutional protection. If you're in

626
00:33:18,560 --> 00:33:22,640
Speaker 3: a field, again, ice can come up and go after

627
00:33:22,680 --> 00:33:25,080
Speaker 3: anybody they want. There's no structure that they would need

628
00:33:25,120 --> 00:33:28,840
Speaker 3: a judge to give them permission to enter. So agricultural

629
00:33:28,920 --> 00:33:32,080
Speaker 3: jobs are particularly vulnerable, and we as a country are

630
00:33:32,080 --> 00:33:35,040
Speaker 3: particularly vulnerable to like not having food. We can afford

631
00:33:35,120 --> 00:33:35,719
Speaker 3: as a result.

632
00:33:36,560 --> 00:33:39,600
Speaker 1: Yeah, yeah, but yeah, I mean it's just the unintended

633
00:33:39,840 --> 00:33:44,560
Speaker 1: or yeah, well the food like disaster would be an

634
00:33:44,680 --> 00:33:48,760
Speaker 1: unintended even for them consequence of like you know, enforcing

635
00:33:49,560 --> 00:33:52,640
Speaker 1: immigration in the way they want to enforce it. I'm

636
00:33:52,680 --> 00:33:55,360
Speaker 1: just curious, like what the fuck will actually happen?

637
00:33:55,440 --> 00:33:57,120
Speaker 3: How could it be unintended? I mean that's a question

638
00:33:57,160 --> 00:33:59,960
Speaker 3: I have, is like it's the most foreseeable possible.

639
00:34:00,120 --> 00:34:02,920
Speaker 2: The very first thing everybody's like, hey, so I know

640
00:34:03,000 --> 00:34:07,800
Speaker 2: you only understand profitability, just a quick FYI hear on that.

641
00:34:08,080 --> 00:34:12,799
Speaker 1: I mean I guess yeah. The speculation would be it

642
00:34:13,000 --> 00:34:17,880
Speaker 1: just creates an even more scared or like op pressed

643
00:34:17,880 --> 00:34:20,200
Speaker 1: class of undocumented worker.

644
00:34:20,520 --> 00:34:24,359
Speaker 2: Yeah, I mean the idea of that they talk about

645
00:34:24,400 --> 00:34:27,759
Speaker 2: a lot that like, yeah, you know, people criticize how

646
00:34:27,760 --> 00:34:29,160
Speaker 2: expensive this is going to be, but it's going to

647
00:34:29,239 --> 00:34:32,040
Speaker 2: lead to like a lot of like self deportation, and

648
00:34:32,400 --> 00:34:35,960
Speaker 2: you know that what that usually means is that people

649
00:34:36,080 --> 00:34:39,239
Speaker 2: just don't can't work because when you like show up

650
00:34:39,480 --> 00:34:42,960
Speaker 2: to work, then like you're you know, putting yourself in

651
00:34:42,960 --> 00:34:48,719
Speaker 2: a position to be taken in. But so that's yeah,

652
00:34:48,760 --> 00:34:52,440
Speaker 2: it just it feels like that is going to be

653
00:34:52,520 --> 00:34:54,560
Speaker 2: a first, Like, it's not going to be a down

654
00:34:54,600 --> 00:34:56,839
Speaker 2: the road thing. It's like a thing that is going

655
00:34:57,120 --> 00:34:59,719
Speaker 2: like based on the things that we're already seeing of

656
00:35:00,239 --> 00:35:03,760
Speaker 2: you know, these like raids that doctor Phil is live streaming.

657
00:35:04,320 --> 00:35:08,040
Speaker 2: We're going to see the results immediately because nobody's gonna

658
00:35:08,040 --> 00:35:11,360
Speaker 2: want to fucking put themselves in a position to be

659
00:35:11,800 --> 00:35:17,560
Speaker 2: arrested and like, you know, treated cruelly. Yeah, so I

660
00:35:17,600 --> 00:35:21,200
Speaker 2: don't know, like I others reversing climate change, bringing back

661
00:35:21,239 --> 00:35:25,120
Speaker 2: the death penalty, not reversing climate change, reversing climate change

662
00:35:25,160 --> 00:35:29,080
Speaker 2: actions and declaring and the emergency is actually how little

663
00:35:29,200 --> 00:35:33,080
Speaker 2: gas we're pulling out of the ground. These are all

664
00:35:33,600 --> 00:35:38,080
Speaker 2: things that I had identified as like, man, the executive

665
00:35:38,160 --> 00:35:40,919
Speaker 2: orders seem to work in this case in the worst

666
00:35:40,960 --> 00:35:41,640
Speaker 2: way possible.

667
00:35:42,120 --> 00:35:44,440
Speaker 1: Do we like, what is there?

668
00:35:44,480 --> 00:35:46,640
Speaker 2: Are there any of these that you're like that that

669
00:35:46,680 --> 00:35:49,600
Speaker 2: one is actually going to be challenged and easy to

670
00:35:49,640 --> 00:35:52,239
Speaker 2: overturn before it does too much damage? Or is this

671
00:35:52,320 --> 00:35:55,719
Speaker 2: all just kind of fore alarm fire territory?

672
00:35:56,320 --> 00:36:02,160
Speaker 3: So I'm really interested to see what happens because a

673
00:36:02,200 --> 00:36:04,480
Speaker 3: lot of people like to act like the law is

674
00:36:04,520 --> 00:36:07,719
Speaker 3: a real thing, and you know, the law will save us.

675
00:36:07,800 --> 00:36:10,400
Speaker 3: The law doesn't support this, and the law. Yeah, but

676
00:36:10,640 --> 00:36:12,680
Speaker 3: the law is just a bunch of humans in rooms,

677
00:36:12,920 --> 00:36:14,680
Speaker 3: Like some of the humans get to wear a special

678
00:36:14,760 --> 00:36:18,720
Speaker 3: dress and sit up higher. But which humans these cases

679
00:36:18,760 --> 00:36:21,000
Speaker 3: are brought in front of will matter a great deal

680
00:36:21,840 --> 00:36:24,480
Speaker 3: because Trump worked very hard during his last term to

681
00:36:24,600 --> 00:36:26,800
Speaker 3: put a lot of judges in place who are heavily

682
00:36:26,840 --> 00:36:29,600
Speaker 3: aligned with the ideology we see in Project twenty twenty five.

683
00:36:30,280 --> 00:36:33,359
Speaker 3: In the past, we saw a judiciary which took their

684
00:36:33,400 --> 00:36:37,160
Speaker 3: responsibility as neutral arbiters way more seriously, and they would

685
00:36:37,200 --> 00:36:40,320
Speaker 3: have been like, really embarrassed to do something nakedly partisan.

686
00:36:40,880 --> 00:36:43,440
Speaker 3: That cultural safeguard is gone, and I don't think we

687
00:36:43,520 --> 00:36:45,560
Speaker 3: realize the degree to which it was a cultural norm,

688
00:36:45,560 --> 00:36:48,760
Speaker 3: a cultural safeguard holding the judiciary in a neutral position.

689
00:36:49,120 --> 00:36:52,160
Speaker 3: It's toast. So some of these I will point out,

690
00:36:52,320 --> 00:36:56,560
Speaker 3: you know, the death penalty one is terrible for innumerable reasons. One,

691
00:36:56,960 --> 00:36:59,440
Speaker 3: Generally Americans don't support the death penalty anymore. So this

692
00:36:59,480 --> 00:37:03,600
Speaker 3: isn't really beating any voters that are demanding this to

693
00:37:04,560 --> 00:37:06,680
Speaker 3: We get it wrong a lot. It's her reversible. Three.

694
00:37:06,760 --> 00:37:10,040
Speaker 3: This EO contains. All of these eos contain ways for

695
00:37:10,080 --> 00:37:13,279
Speaker 3: the government to reach more deeply into the lives and

696
00:37:13,400 --> 00:37:16,680
Speaker 3: actions of private actors and the state. So here this

697
00:37:16,760 --> 00:37:19,280
Speaker 3: EO is directing the federal government to try to exert

698
00:37:19,360 --> 00:37:23,080
Speaker 3: more control over state and local prosecutors and ags. Here's

699
00:37:23,120 --> 00:37:26,840
Speaker 3: why that's a big deal in the federal system. Joe Biden,

700
00:37:26,920 --> 00:37:30,480
Speaker 3: to his credit, commuted the sentences of everyone who's on

701
00:37:30,560 --> 00:37:32,719
Speaker 3: federal death row. So Donald Trump doesn't have anybody he

702
00:37:32,719 --> 00:37:35,040
Speaker 3: can kill right now, as much as he would like to.

703
00:37:35,320 --> 00:37:38,160
Speaker 3: Oh no, and good on President Biden for doing that.

704
00:37:38,760 --> 00:37:41,479
Speaker 3: Eighty seven percent, roughly, that's success. Probably an old stat

705
00:37:41,480 --> 00:37:44,319
Speaker 3: but over eighty five percent of people in prison are

706
00:37:44,360 --> 00:37:47,480
Speaker 3: there on state and local cases, so you can see that, like,

707
00:37:47,800 --> 00:37:51,080
Speaker 3: the federal government only comprises a very small minority of

708
00:37:51,160 --> 00:37:54,520
Speaker 3: people who are impacted by criminal justice decisions generally. So

709
00:37:54,600 --> 00:37:57,280
Speaker 3: what does this executive order do. It pushes the federal

710
00:37:57,320 --> 00:38:01,400
Speaker 3: government to start going after the folks who actually control

711
00:38:01,760 --> 00:38:05,120
Speaker 3: use of the death penalty, who are state ags and

712
00:38:05,160 --> 00:38:10,640
Speaker 3: state and local prosecutors. And that bothers me for many reasons,

713
00:38:11,719 --> 00:38:17,359
Speaker 3: one of which is it's completely contrary to the omnipresent

714
00:38:17,480 --> 00:38:19,759
Speaker 3: states rights argument that we hear all the time that like,

715
00:38:19,840 --> 00:38:22,000
Speaker 3: local people should decide what's right in their locality. Oh

716
00:38:22,080 --> 00:38:24,920
Speaker 3: unless in your locality you don't want the government to

717
00:38:25,040 --> 00:38:27,319
Speaker 3: kill people, in which case you don't get to decide

718
00:38:27,360 --> 00:38:30,440
Speaker 3: what's right for your locality. Your judgment is subsumed by

719
00:38:30,480 --> 00:38:33,920
Speaker 3: a huge and empowered federal government. I thought we did

720
00:38:34,080 --> 00:38:36,320
Speaker 3: like big government. No, no, no, we like big government

721
00:38:36,320 --> 00:38:38,960
Speaker 3: when it's making the government kill people. So that's where

722
00:38:38,960 --> 00:38:39,560
Speaker 3: we are on this.

723
00:38:40,080 --> 00:38:44,520
Speaker 2: Yes, it's not great, And your point about it being unpopular,

724
00:38:44,600 --> 00:38:48,719
Speaker 2: like that was the thing. Just alec Herrick Cattsanas had

725
00:38:48,719 --> 00:38:51,960
Speaker 2: a thread on Twitter this weekend just about this New

726
00:38:52,040 --> 00:38:56,240
Speaker 2: York Times article from last week titled support for Trump's

727
00:38:56,280 --> 00:39:00,480
Speaker 2: policies exceeds support for Trump, And this feel like it's

728
00:39:00,480 --> 00:39:02,680
Speaker 2: the way I'm seeing a lot of people in the

729
00:39:02,680 --> 00:39:06,200
Speaker 2: New York Times and like in that world respond where

730
00:39:06,200 --> 00:39:09,600
Speaker 2: they're like people might not like the man, but are approved.

731
00:39:09,640 --> 00:39:11,680
Speaker 2: You know, they might think his methods are too harsh,

732
00:39:12,080 --> 00:39:14,720
Speaker 2: but he's getting things done. And it's like in line

733
00:39:14,880 --> 00:39:18,520
Speaker 2: with there. And I think what they're referring to is

734
00:39:18,560 --> 00:39:24,120
Speaker 2: like a very specifically worded question that suggests that they

735
00:39:24,160 --> 00:39:28,840
Speaker 2: want people who are undocumented deported, But there's also like

736
00:39:29,040 --> 00:39:33,480
Speaker 2: three questions they're just worded slightly differently. That suggests that

737
00:39:33,760 --> 00:39:37,040
Speaker 2: there's actually a super majority of people who don't who

738
00:39:37,080 --> 00:39:40,600
Speaker 2: don't want that, but they I don't know. There just

739
00:39:40,680 --> 00:39:45,000
Speaker 2: seems to be that an urge to like be like

740
00:39:45,320 --> 00:39:47,880
Speaker 2: what he's doing is like not that out of line

741
00:39:47,960 --> 00:39:51,000
Speaker 2: with like what people want, and I don't think it's true,

742
00:39:51,000 --> 00:39:53,600
Speaker 2: And like what again, they're only focusing on like two

743
00:39:53,920 --> 00:39:57,440
Speaker 2: of these executive orders, two of these policies. They're like

744
00:39:57,600 --> 00:40:01,400
Speaker 2: really having to work hard with the polling and the

745
00:40:01,440 --> 00:40:04,759
Speaker 2: wording of the polling to like make it seem like

746
00:40:04,840 --> 00:40:07,959
Speaker 2: people are in support of these policies. And then they're

747
00:40:08,000 --> 00:40:12,600
Speaker 2: also ignoring like the huge swaths of these executive orders

748
00:40:12,600 --> 00:40:16,080
Speaker 2: that are wildly unpopular for their cruelty.

749
00:40:16,400 --> 00:40:19,239
Speaker 3: And so this is a great feast. I'm so glad

750
00:40:19,239 --> 00:40:20,799
Speaker 3: you brought this up. Because so when we look at

751
00:40:20,800 --> 00:40:23,439
Speaker 3: Project twenty twenty five, there's a couple of like big

752
00:40:23,480 --> 00:40:26,480
Speaker 3: themes that emerge. One is that they're very terrified of boyfriends,

753
00:40:26,520 --> 00:40:28,200
Speaker 3: and they think there's nothing more terrible than a mom,

754
00:40:28,239 --> 00:40:30,600
Speaker 3: a single mom, having a boyfriend. There's a whole fun

755
00:40:30,640 --> 00:40:32,920
Speaker 3: passage I beg you to read, but just just like

756
00:40:33,000 --> 00:40:36,200
Speaker 3: control f boyfriend. Yeah, in Project twenty twenty five. It's

757
00:40:36,239 --> 00:40:40,520
Speaker 3: a ride. But beyond their fear of boyfriends, they really

758
00:40:40,640 --> 00:40:44,440
Speaker 3: don't like information. They don't like people having any information,

759
00:40:44,520 --> 00:40:46,880
Speaker 3: and they would rather the government not gather any information

760
00:40:46,920 --> 00:40:49,040
Speaker 3: because if you gather any information, people might get a

761
00:40:49,040 --> 00:40:50,680
Speaker 3: hold of it, because governments do have to have a

762
00:40:50,680 --> 00:40:53,399
Speaker 3: certain level of transparency. This goes totally to what you're

763
00:40:53,400 --> 00:40:57,680
Speaker 3: talking about. The way you can create false informational worlds

764
00:40:58,320 --> 00:41:00,799
Speaker 3: is by limiting the amount of informationeople actually have. Like

765
00:41:00,840 --> 00:41:02,840
Speaker 3: here you have a poll which doesn't reveal to the

766
00:41:02,880 --> 00:41:05,200
Speaker 3: reader that, oh, in like the next three questions, it

767
00:41:05,239 --> 00:41:08,040
Speaker 3: turns out people don't actually like this policy. They just

768
00:41:08,080 --> 00:41:10,879
Speaker 3: only liked it when it was worded a very specific way.

769
00:41:10,880 --> 00:41:13,120
Speaker 3: And that's really the thing about polling, right, is that like,

770
00:41:13,560 --> 00:41:16,600
Speaker 3: the answer you get from people depends enormously on how

771
00:41:16,680 --> 00:41:19,920
Speaker 3: you ask them a given question. But in the EOS,

772
00:41:19,960 --> 00:41:23,200
Speaker 3: we're seeing a ton of these clauses. In the EOS

773
00:41:23,239 --> 00:41:26,840
Speaker 3: are getting rid of forms of tracking information in government

774
00:41:27,360 --> 00:41:30,080
Speaker 3: so that people will no longer have access to, for example,

775
00:41:31,160 --> 00:41:34,360
Speaker 3: what the demographic makeup of our government even is, or

776
00:41:34,400 --> 00:41:37,120
Speaker 3: of our armed forces, or of you know what the

777
00:41:37,160 --> 00:41:40,840
Speaker 3: impact of various policies and programs, is health tracking in particular,

778
00:41:40,920 --> 00:41:43,080
Speaker 3: like how much are we at danger from bird flu

779
00:41:43,200 --> 00:41:46,040
Speaker 3: versus something else? They would really prefer not to collect

780
00:41:46,080 --> 00:41:48,839
Speaker 3: any data because when you don't collect data, you can

781
00:41:48,880 --> 00:41:51,720
Speaker 3: control people's opinion on policy a lot more through things

782
00:41:51,800 --> 00:41:54,440
Speaker 3: like the framing of the question, because people don't have

783
00:41:54,480 --> 00:41:57,319
Speaker 3: a real informational basis for making decisions. In addition to that,

784
00:41:58,200 --> 00:42:02,520
Speaker 3: there's a whole separate EO on restricting the government's ability

785
00:42:02,600 --> 00:42:07,360
Speaker 3: to go after misinformation and disinformation because to stop to

786
00:42:07,480 --> 00:42:12,080
Speaker 3: stop misinformation and disinformation would impinge on the free speech

787
00:42:12,160 --> 00:42:14,960
Speaker 3: rights of the people who would like to distribute misinformation,

788
00:42:15,040 --> 00:42:17,920
Speaker 3: Like lest the government stop people from lying to you.

789
00:42:18,000 --> 00:42:20,319
Speaker 3: It's it's all this theme of like the government no

790
00:42:20,400 --> 00:42:22,760
Speaker 3: longer wants you to have good information underdone.

791
00:42:23,480 --> 00:42:25,759
Speaker 2: Yeah, I mean that seemed like the whole Mark Zuckerberg

792
00:42:26,239 --> 00:42:29,239
Speaker 2: like statement was all about like the way in which

793
00:42:29,280 --> 00:42:32,360
Speaker 2: he used like that's like people's opinions and like free speech,

794
00:42:32,400 --> 00:42:34,960
Speaker 2: but he was only talking about like people who support

795
00:42:34,960 --> 00:42:38,799
Speaker 2: Donald Trump's free speech, like very specific definition of that.

796
00:42:39,160 --> 00:42:42,680
Speaker 2: It's it's very strange, but it's like it's not just

797
00:42:42,880 --> 00:42:46,680
Speaker 2: the tech CEOs. It feels like the these you know,

798
00:42:46,800 --> 00:42:50,840
Speaker 2: journalistic institutions are just like currently really not up to

799
00:42:50,920 --> 00:42:54,239
Speaker 2: the task of like dealing with what's happening right now there.

800
00:42:54,880 --> 00:42:57,040
Speaker 3: I can't tell if they're into it or scared. I

801
00:42:57,040 --> 00:42:57,960
Speaker 3: can't tell which it is.

802
00:42:58,840 --> 00:43:01,680
Speaker 1: I think they're into it. I think they've had decades

803
00:43:02,000 --> 00:43:05,280
Speaker 1: to not be into it, and they have never showed

804
00:43:05,320 --> 00:43:08,120
Speaker 1: themselves to not be into it. I mean, I will

805
00:43:08,120 --> 00:43:10,000
Speaker 1: say again, I know I keep beating this drum, but

806
00:43:10,680 --> 00:43:15,239
Speaker 1: we are it feels ever nearer to an actual like

807
00:43:15,360 --> 00:43:18,640
Speaker 1: facts don't care about your feelings, reckoning on just like

808
00:43:18,719 --> 00:43:23,640
Speaker 1: the nature of reality. And I'm just like, I know

809
00:43:23,719 --> 00:43:25,680
Speaker 1: I keep saying it, but it's like, you know, the

810
00:43:26,160 --> 00:43:31,640
Speaker 1: things they believe are largely not true. So like, what

811
00:43:31,960 --> 00:43:34,200
Speaker 1: is it going to be? Just like Made in the

812
00:43:34,320 --> 00:43:37,319
Speaker 1: USA starts to not become the gold standard? Is it

813
00:43:37,360 --> 00:43:42,239
Speaker 1: going to be like you know, fucking like Beijing University

814
00:43:42,360 --> 00:43:45,799
Speaker 1: is where you go instead of Harvard, Like it will

815
00:43:45,840 --> 00:43:48,000
Speaker 1: be something like the rest of the world doesn't have

816
00:43:48,080 --> 00:43:51,560
Speaker 1: to play by these rules and they eventually won't. Like

817
00:43:51,840 --> 00:43:55,120
Speaker 1: what is it going to be? I'm just like, I

818
00:43:55,120 --> 00:43:57,799
Speaker 1: guess I'm hoped. I hope I'll be alive when the

819
00:43:57,840 --> 00:44:00,479
Speaker 1: fucking other shoe drops on this whole shit.

820
00:44:00,719 --> 00:44:04,360
Speaker 2: So I don't know. Sorry, Yeah, I feel like it

821
00:44:04,440 --> 00:44:09,040
Speaker 2: might be sooner than I was expecting prior to a

822
00:44:09,040 --> 00:44:12,400
Speaker 2: couple of weeks ago. But yeah, I don't know. It's

823
00:44:13,520 --> 00:44:17,239
Speaker 2: it's it's Is there anything Emily that is making you

824
00:44:17,760 --> 00:44:21,719
Speaker 2: hopeful besides teachers, which I think is a great example,

825
00:44:21,920 --> 00:44:26,840
Speaker 2: like teachers being willing to fight for their kids, for

826
00:44:27,280 --> 00:44:30,400
Speaker 2: their students, any any other places you're seeing hope.

827
00:44:31,000 --> 00:44:32,600
Speaker 3: One thing I would say is that so much of

828
00:44:32,680 --> 00:44:35,719
Speaker 3: this is local, right, Like I've been watching online as

829
00:44:35,760 --> 00:44:38,680
Speaker 3: like finding videos of a local neighborhood watch like scaring

830
00:44:38,719 --> 00:44:41,839
Speaker 3: off ice agents from their neighborhood and school's not letting

831
00:44:41,880 --> 00:44:46,319
Speaker 3: them in, and you know, ordinary people protecting each other.

832
00:44:46,960 --> 00:44:49,560
Speaker 3: I also think that this is this has the potential

833
00:44:49,600 --> 00:44:52,800
Speaker 3: for a huge informational awakening for Americans in a certain sense.

834
00:44:53,120 --> 00:44:54,680
Speaker 3: I mean, I'm thinking, actually, this is so dumb. But

835
00:44:54,719 --> 00:44:56,520
Speaker 3: do you remember when like TikTok was gone for five

836
00:44:56,520 --> 00:44:59,400
Speaker 3: minutes and everybody got on red note. Yeah, and suddenly

837
00:44:59,440 --> 00:45:02,640
Speaker 3: Americans will like, wait a minute, you get fresh groceries

838
00:45:02,680 --> 00:45:07,279
Speaker 3: for how much? In China? They amaze, like the fantastic

839
00:45:07,400 --> 00:45:11,520
Speaker 3: Chinese grocery halls Americans have managed to become, even without

840
00:45:11,800 --> 00:45:16,960
Speaker 3: a Trump branded isolationism. Americans have for decades been deprived

841
00:45:16,960 --> 00:45:20,520
Speaker 3: of opportunities to really get to know the international community,

842
00:45:20,560 --> 00:45:23,880
Speaker 3: to travel, to learn about the world, to expand their horizons.

843
00:45:23,920 --> 00:45:27,120
Speaker 3: And I think that in that moment you describe Andrew

844
00:45:27,280 --> 00:45:31,319
Speaker 3: of like watching China surpass us in renewable energy and

845
00:45:31,360 --> 00:45:35,520
Speaker 3: get to a clean and low cost energy solution while

846
00:45:35,520 --> 00:45:39,520
Speaker 3: we're still like shoveling coal into furnaces. I think that's

847
00:45:39,560 --> 00:45:43,840
Speaker 3: going to be, I hope, a really healthy awakening for Americans.

848
00:45:43,840 --> 00:45:46,759
Speaker 3: I'm terrified on the healthcare front of the number of

849
00:45:46,800 --> 00:45:50,080
Speaker 3: lives it could cost us to learn this particular lesson.

850
00:45:50,760 --> 00:45:52,399
Speaker 3: But I guess I'm placing a lot of my hope

851
00:45:52,400 --> 00:45:54,560
Speaker 3: in great organizations that are willing to put up a fight,

852
00:45:55,080 --> 00:45:58,800
Speaker 3: in ordinary people who are not naturally compliant and steel

853
00:45:58,880 --> 00:46:02,360
Speaker 3: themselves to say no, even agrins. It's really hard to

854
00:46:02,360 --> 00:46:03,920
Speaker 3: say no to somebody who says, look, I have this

855
00:46:03,960 --> 00:46:05,480
Speaker 3: piece of paper that let's be coming to your home.

856
00:46:05,520 --> 00:46:07,799
Speaker 3: It's really hard to say, nah, judge didn't sign that paper.

857
00:46:07,840 --> 00:46:09,640
Speaker 3: I'm not opening the door. It's hard to do, but

858
00:46:09,719 --> 00:46:12,920
Speaker 3: I have faith in the stubbornness of ordinary Americans. And

859
00:46:13,200 --> 00:46:15,960
Speaker 3: I hope, I hope that if we are able to

860
00:46:16,000 --> 00:46:20,759
Speaker 3: emerge from this without falling prey to the informational lockdown,

861
00:46:21,200 --> 00:46:23,800
Speaker 3: if we're able to retain our ability to get information,

862
00:46:24,120 --> 00:46:26,680
Speaker 3: we're going to come out of this a much better society.

863
00:46:27,080 --> 00:46:30,560
Speaker 2: That is the question, right, That's where like it feels

864
00:46:30,680 --> 00:46:35,240
Speaker 2: like things must be like the way I was talking about,

865
00:46:35,239 --> 00:46:38,040
Speaker 2: like it being a sporting thing where you're like, oh,

866
00:46:38,080 --> 00:46:40,480
Speaker 2: this is the thing that I don't want my opponent

867
00:46:40,520 --> 00:46:43,280
Speaker 2: to do, and they're doing it and that is probably

868
00:46:43,320 --> 00:46:46,520
Speaker 2: smart on their part. Like that's my question thinking through

869
00:46:46,600 --> 00:46:48,520
Speaker 2: for them is like that's going to be the next

870
00:46:48,719 --> 00:46:51,600
Speaker 2: frontier is like, okay, so how do we stop the information?

871
00:46:52,360 --> 00:46:54,600
Speaker 2: Like and it sounds like they're working on that with

872
00:46:54,680 --> 00:46:57,360
Speaker 2: regards to the studies, but just in terms of the

873
00:46:57,440 --> 00:47:02,480
Speaker 2: day to day social media, I'm sure that, you know,

874
00:47:02,560 --> 00:47:05,560
Speaker 2: beyond the TikTok band, I'm sure that's coming too, Right.

875
00:47:05,520 --> 00:47:09,760
Speaker 3: Wouldn't this be great? I mean zcceran bless Zuckerberg's little

876
00:47:09,760 --> 00:47:11,280
Speaker 3: heart is my college classmate.

877
00:47:11,480 --> 00:47:13,879
Speaker 2: Wow, cool guy, cool guy.

878
00:47:13,920 --> 00:47:18,520
Speaker 3: Actually Facebook is old, like I'm old. Facebook's old, Like,

879
00:47:18,640 --> 00:47:21,560
Speaker 3: I also think there's a real chance that like we

880
00:47:21,680 --> 00:47:26,439
Speaker 3: might disconnect from our social media addictions in a really

881
00:47:26,440 --> 00:47:29,319
Speaker 3: different way during these next few years. That could be

882
00:47:29,320 --> 00:47:31,960
Speaker 3: really I mean, once you realize that something you've been

883
00:47:32,040 --> 00:47:34,799
Speaker 3: using as a resource to learn about people around you

884
00:47:34,960 --> 00:47:37,120
Speaker 3: and like what's happening in your community is actually just

885
00:47:37,200 --> 00:47:40,759
Speaker 3: full of junk. I go on Twitter so much less

886
00:47:40,800 --> 00:47:43,520
Speaker 3: now because it's just like so full of like click

887
00:47:43,600 --> 00:47:49,319
Speaker 3: baity anger least just yeah exactly. And if this disconnects

888
00:47:49,400 --> 00:47:52,640
Speaker 3: us from that and we go back to other forms

889
00:47:52,640 --> 00:47:56,000
Speaker 3: of informational engagement and information sharing or we create new forms,

890
00:47:56,040 --> 00:47:56,759
Speaker 3: that'd be great too.

891
00:47:57,320 --> 00:48:00,080
Speaker 1: Yeah. Yeah, I did want to also say a thing

892
00:48:00,120 --> 00:48:02,480
Speaker 1: about the local, like to sort of tag what you

893
00:48:02,480 --> 00:48:05,799
Speaker 1: were sayingly, like even you know, just like doing a

894
00:48:05,840 --> 00:48:08,680
Speaker 1: small amount of mutual aid carding shit around during the

895
00:48:08,719 --> 00:48:11,320
Speaker 1: fires and I mean the fires a just still ongoing,

896
00:48:11,360 --> 00:48:16,080
Speaker 1: but it and just thinking about California. I know I've

897
00:48:16,120 --> 00:48:18,880
Speaker 1: said this on the show closer to when the election was,

898
00:48:18,880 --> 00:48:23,320
Speaker 1: but like you know, liberal ass California couldn't even outlast Slavery.

899
00:48:23,560 --> 00:48:26,560
Speaker 1: So like, there's still plenty of work that you can

900
00:48:26,600 --> 00:48:30,720
Speaker 1: do in your community that will materially move things forward

901
00:48:30,760 --> 00:48:35,560
Speaker 1: and make things better that, however feudile like, and however

902
00:48:35,840 --> 00:48:38,800
Speaker 1: much damage is done and we're watching the repercussions of

903
00:48:38,880 --> 00:48:43,359
Speaker 1: federal government, you can still fix things, repair stuff, help

904
00:48:43,400 --> 00:48:46,880
Speaker 1: people in a way that is material in your community.

905
00:48:46,960 --> 00:48:50,120
Speaker 1: And you should fucking do it because to do it,

906
00:48:50,600 --> 00:48:53,200
Speaker 1: even though you're helping people, you're doing it for yourself

907
00:48:53,200 --> 00:48:54,960
Speaker 1: because you're going to need all this stuff too.

908
00:48:55,160 --> 00:48:57,840
Speaker 3: There's a really good lever for that that nobody thinks about,

909
00:48:57,880 --> 00:48:59,319
Speaker 3: and I want to put it out there for people

910
00:48:59,360 --> 00:49:03,000
Speaker 3: to consider. All of these culture war things. The way

911
00:49:03,040 --> 00:49:05,799
Speaker 3: they get enforced is through prosecution. That's why Donald Trump

912
00:49:05,880 --> 00:49:09,000
Speaker 3: wants to exert so much control over local prosecutors is

913
00:49:09,040 --> 00:49:11,879
Speaker 3: because a lot of this enactment will have to take

914
00:49:12,280 --> 00:49:15,960
Speaker 3: place in the form of criminal prosecution. Public defenders man

915
00:49:16,480 --> 00:49:21,040
Speaker 3: public defenders are so under considered as a sort of

916
00:49:21,160 --> 00:49:26,400
Speaker 3: last bulwark against totalitarianism. They are the people who are

917
00:49:26,440 --> 00:49:30,799
Speaker 3: fighting against you know, the types of detainers that can

918
00:49:30,880 --> 00:49:33,400
Speaker 3: lead to deportation. They are the people that are often

919
00:49:33,480 --> 00:49:35,840
Speaker 3: first to find out when an individual is in jeopardy

920
00:49:35,920 --> 00:49:39,400
Speaker 3: from their government. They are the people best equipped to

921
00:49:39,480 --> 00:49:42,440
Speaker 3: legally intervene. For many people, a public defender is the

922
00:49:42,440 --> 00:49:44,960
Speaker 3: only lawyer they're going to have in their life. They're

923
00:49:44,960 --> 00:49:46,640
Speaker 3: going to have one lawyer, and it's probably the free

924
00:49:46,719 --> 00:49:48,959
Speaker 3: lawyer provided to them, paid by the government to fight

925
00:49:49,040 --> 00:49:52,960
Speaker 3: the government and they there's five nine hundred public defender

926
00:49:53,000 --> 00:49:55,759
Speaker 3: agencies in this country. Most of them are like not

927
00:49:55,960 --> 00:49:59,400
Speaker 3: particularly funded or attended to, but ordinary people can go

928
00:49:59,400 --> 00:50:01,319
Speaker 3: to their account the board of supervisors meeting, say hey,

929
00:50:01,320 --> 00:50:04,520
Speaker 3: how are you resourcing my public defender if my family

930
00:50:04,520 --> 00:50:06,759
Speaker 3: needs a lawyer, Like who is that lawyer and what

931
00:50:06,800 --> 00:50:08,840
Speaker 3: support are they getting and how well are they being paid,

932
00:50:08,840 --> 00:50:11,319
Speaker 3: and like what experts do they have access to and

933
00:50:11,360 --> 00:50:12,960
Speaker 3: what labs are you going to let them use in

934
00:50:13,000 --> 00:50:15,680
Speaker 3: a serious case. I think that it's a moment now

935
00:50:15,760 --> 00:50:18,920
Speaker 3: for people to recognize that public defenders are their counsel

936
00:50:19,400 --> 00:50:20,520
Speaker 3: and they should demand better.

937
00:50:21,200 --> 00:50:24,520
Speaker 2: Yeah, and that's uh, you work on that like that

938
00:50:25,000 --> 00:50:28,240
Speaker 2: executive you're the executive director of Partners for Justice, which

939
00:50:28,560 --> 00:50:31,879
Speaker 2: sounds like that's kind of a focus for you guys, right, Yeah.

940
00:50:32,200 --> 00:50:33,960
Speaker 3: Most of what we do is we help public defenders

941
00:50:33,960 --> 00:50:37,640
Speaker 3: do more stuff beyond the legal matter, So like recognizing

942
00:50:37,680 --> 00:50:40,040
Speaker 3: that a court case can completely upend a person's life

943
00:50:40,080 --> 00:50:42,960
Speaker 3: and cost them their housing, their job, like access to

944
00:50:43,000 --> 00:50:47,360
Speaker 3: their kids, access to medicine. We basically create really strong

945
00:50:47,400 --> 00:50:51,200
Speaker 3: interdisciplinary services inside public defense, a little bit of mutual aid,

946
00:50:51,280 --> 00:50:53,080
Speaker 3: a little bit of services, you know, a lot of

947
00:50:53,200 --> 00:50:56,000
Speaker 3: community networking so that people can walk away from a

948
00:50:56,000 --> 00:50:58,640
Speaker 3: case with their life as intact as possible. It's very

949
00:50:58,719 --> 00:51:00,440
Speaker 3: very pro safety stuff. A lot of the stuff we

950
00:51:00,480 --> 00:51:04,080
Speaker 3: address our underlying drivers of crime. It's also very decarsoral.

951
00:51:04,280 --> 00:51:07,680
Speaker 3: We've eliminated over five thousand years of incarceration in just

952
00:51:07,680 --> 00:51:09,680
Speaker 3: a few years because it turns out what somebody's doing

953
00:51:09,680 --> 00:51:11,520
Speaker 3: really well in the community, a judge is less likely

954
00:51:11,560 --> 00:51:14,359
Speaker 3: to send them to prison. But I'm talking about more

955
00:51:14,400 --> 00:51:15,960
Speaker 3: than that, like more than just what we do. Like

956
00:51:16,000 --> 00:51:20,080
Speaker 3: the daily litigation of public defenders is going to protect

957
00:51:20,120 --> 00:51:23,000
Speaker 3: a lot of people who are being prosecuted for putting

958
00:51:23,040 --> 00:51:25,640
Speaker 3: the wrong book on the library shelf, or seeking an

959
00:51:25,680 --> 00:51:30,080
Speaker 3: abortion or being trans I mean, the lawyer they're going

960
00:51:30,160 --> 00:51:32,800
Speaker 3: to have is probably a public defender. So even beyond

961
00:51:32,800 --> 00:51:35,600
Speaker 3: my work, it's a great place for people to dedicate

962
00:51:35,640 --> 00:51:36,360
Speaker 3: their focus.

963
00:51:36,600 --> 00:51:40,120
Speaker 1: Yeah, and if you're just a citizen talking to your government,

964
00:51:40,239 --> 00:51:42,520
Speaker 1: a great place to find that money is in the

965
00:51:42,520 --> 00:51:46,600
Speaker 1: insane police budget. Just thrown it out there, maybe some

966
00:51:46,680 --> 00:51:50,480
Speaker 1: of those funds that should be taken from the police.

967
00:51:50,600 --> 00:51:53,520
Speaker 2: I don't know, but you know, there's a great study helicopter,

968
00:51:53,640 --> 00:51:55,600
Speaker 2: I don't know, a tank.

969
00:51:57,040 --> 00:52:00,160
Speaker 3: There's a great study on what really well, a lot

970
00:52:00,200 --> 00:52:02,560
Speaker 3: of great studies and won't really create safety. And actually,

971
00:52:02,600 --> 00:52:05,279
Speaker 3: if anybody cares. On the Partners for Justice website, we

972
00:52:05,360 --> 00:52:07,320
Speaker 3: have a little tab that says evidence, and I gathered

973
00:52:07,360 --> 00:52:09,319
Speaker 3: a ton of these studies there if anybody wants data

974
00:52:09,360 --> 00:52:12,480
Speaker 3: on safety. But there's a wonderful overview we did on

975
00:52:12,719 --> 00:52:15,640
Speaker 3: how environmental design creates safety. And it turns out that

976
00:52:15,640 --> 00:52:17,520
Speaker 3: if you want to lower the homicide rate, you are

977
00:52:17,520 --> 00:52:21,799
Speaker 3: better off planting trees than hiring more cops. I mean

978
00:52:21,920 --> 00:52:28,560
Speaker 3: some street lighting trees. And that's not only on homicides.

979
00:52:28,600 --> 00:52:32,400
Speaker 3: Like buildings with more greenery, like more beautifully greened buildings

980
00:52:32,760 --> 00:52:35,040
Speaker 3: are not only less likely to be burglarized, they also

981
00:52:35,080 --> 00:52:38,120
Speaker 3: have less domestic violence inside the building. So there's all

982
00:52:38,200 --> 00:52:41,680
Speaker 3: these things we could spend money on that might work better.

983
00:52:42,520 --> 00:52:46,359
Speaker 3: And more more subway cops playing candy crush, Yeah I.

984
00:52:46,280 --> 00:52:48,840
Speaker 1: Know this is not the way the directionality window or

985
00:52:49,000 --> 00:52:52,560
Speaker 1: arrow goes, but also less domestic violence if there's fewer cops.

986
00:52:52,320 --> 00:52:55,400
Speaker 2: Right, let's just throw it out there could be I

987
00:52:55,480 --> 00:52:57,719
Speaker 2: don't I actually don't know if that's the direction that

988
00:52:57,760 --> 00:52:58,800
Speaker 2: the cause out.

989
00:52:58,880 --> 00:53:00,200
Speaker 1: Guys are bad guy.

990
00:53:00,760 --> 00:53:13,200
Speaker 2: Let's take a quick break. We'll be right back, and

991
00:53:13,320 --> 00:53:17,560
Speaker 2: we're back, and we do have to get to one

992
00:53:17,680 --> 00:53:21,799
Speaker 2: piece of legislation that's giving us hope, and that is

993
00:53:21,960 --> 00:53:25,880
Speaker 2: a Connecticut bill that would force movie theaters to admit

994
00:53:26,480 --> 00:53:31,680
Speaker 2: when the movie actually starts when listening when listing movie times,

995
00:53:31,880 --> 00:53:34,920
Speaker 2: that you know it would have the here's when the

996
00:53:35,000 --> 00:53:39,520
Speaker 2: previous start, but here's when the movie actually starts, like functionally,

997
00:53:39,880 --> 00:53:44,960
Speaker 2: which I don't know. It like people are saying that

998
00:53:45,040 --> 00:53:48,200
Speaker 2: it's like I don't know if these are industry plants,

999
00:53:48,200 --> 00:53:50,520
Speaker 2: but I've read people being like, well, it's easy to

1000
00:53:50,600 --> 00:53:53,080
Speaker 2: like know when it is just like don't show up

1001
00:53:53,160 --> 00:53:56,240
Speaker 2: for twenty minutes. But I've definitely like it's a moving target.

1002
00:53:56,320 --> 00:53:59,359
Speaker 2: Like I showed up at Barbie twenty minutes late because

1003
00:53:59,400 --> 00:54:02,399
Speaker 2: I assumed that movie would have so many trailers before

1004
00:54:02,440 --> 00:54:05,239
Speaker 2: it because it was like a massive hit. But it

1005
00:54:05,280 --> 00:54:08,760
Speaker 2: was like it started five minutes after the showtime because

1006
00:54:08,920 --> 00:54:11,360
Speaker 2: they were just trying to like get as much turnover

1007
00:54:11,400 --> 00:54:15,000
Speaker 2: as like, so they're trying to cram as many showtimes

1008
00:54:15,040 --> 00:54:17,680
Speaker 2: as possible because so many people are going to see it.

1009
00:54:17,960 --> 00:54:20,120
Speaker 2: And then I've been to movies where like, I don't know.

1010
00:54:20,239 --> 00:54:22,319
Speaker 2: I I'm a let's get there in time for the

1011
00:54:22,360 --> 00:54:26,680
Speaker 2: previews type of person. And I was even just like,

1012
00:54:27,000 --> 00:54:29,960
Speaker 2: you know, forty five minutes later, like looking at my phone,

1013
00:54:30,040 --> 00:54:33,400
Speaker 2: being like, how has the movie still not started? So

1014
00:54:33,560 --> 00:54:39,239
Speaker 2: it feels wild sometimes and this, yeah, just I don't know.

1015
00:54:39,360 --> 00:54:42,319
Speaker 2: It's there's so few pieces of like I don't know

1016
00:54:42,360 --> 00:54:45,560
Speaker 2: any just ideas that seem to be focused on, like

1017
00:54:45,880 --> 00:54:50,960
Speaker 2: helping people, maybe helping people's lives be more comfortable. Like

1018
00:54:51,160 --> 00:54:54,000
Speaker 2: I'm putting this in the category of the congestion pricing

1019
00:54:54,480 --> 00:54:57,720
Speaker 2: in New York the tri state area really coming through

1020
00:54:57,960 --> 00:55:01,600
Speaker 2: for the consumers, But I don't know what what are

1021
00:55:01,760 --> 00:55:03,040
Speaker 2: what are you guys' thoughts here?

1022
00:55:03,480 --> 00:55:06,920
Speaker 1: I also love the trailers, and I was going to

1023
00:55:06,960 --> 00:55:13,400
Speaker 1: say this would create pressure potentially to have better trailers,

1024
00:55:13,440 --> 00:55:16,080
Speaker 1: more entertaining trailers, which would probably put pressure on having

1025
00:55:16,080 --> 00:55:19,560
Speaker 1: more and better entertaining movies. But what I really think

1026
00:55:19,640 --> 00:55:21,400
Speaker 1: is going to happen is going to put pressure on

1027
00:55:22,239 --> 00:55:24,799
Speaker 1: for like two dollars extra to your ticket, they won't

1028
00:55:24,880 --> 00:55:29,400
Speaker 1: run a lower third of the ad concurrently with the movie.

1029
00:55:30,200 --> 00:55:31,520
Speaker 2: Yeah, movies with ads.

1030
00:55:32,280 --> 00:55:34,560
Speaker 1: Yeah, I suspect that's actually what's going.

1031
00:55:34,480 --> 00:55:38,840
Speaker 2: To happen free V the movie theater model that they turn.

1032
00:55:38,680 --> 00:55:41,279
Speaker 1: Off the part of your neurallink that just puts the

1033
00:55:41,360 --> 00:55:43,960
Speaker 1: trailer in your field of vision while it's going.

1034
00:55:44,160 --> 00:55:47,640
Speaker 3: Yeah, oh man, that got dark faster than I expected

1035
00:55:47,640 --> 00:55:51,840
Speaker 3: it too, That is what is going to happen. I

1036
00:55:51,840 --> 00:55:54,880
Speaker 3: I am all for more information. People have an information

1037
00:55:54,920 --> 00:55:57,680
Speaker 3: to make informed choices. I could also say, like, there's

1038
00:55:57,719 --> 00:56:00,640
Speaker 3: so much about the movie going experience that could be

1039
00:56:01,239 --> 00:56:04,279
Speaker 3: improved to help theaters do better. You know, when I

1040
00:56:04,320 --> 00:56:06,160
Speaker 3: moved to New York from California and I found out

1041
00:56:06,200 --> 00:56:08,680
Speaker 3: that people were wearing garbage bags to the movie theater

1042
00:56:08,800 --> 00:56:10,239
Speaker 3: to not get bed bugs, I was like, you know,

1043
00:56:10,480 --> 00:56:12,400
Speaker 3: that's like, we don't do that in California.

1044
00:56:12,520 --> 00:56:12,879
Speaker 1: We don't.

1045
00:56:13,080 --> 00:56:16,239
Speaker 3: We don't need to wear a hazmat suit. Actually, So,

1046
00:56:17,000 --> 00:56:20,719
Speaker 3: if what you're relying on to keep the theater in

1047
00:56:20,760 --> 00:56:25,319
Speaker 3: business is people being disgruntled as they unwillingly sit through

1048
00:56:25,320 --> 00:56:28,120
Speaker 3: trailers they didn't want to be at, probably not a

1049
00:56:28,160 --> 00:56:32,640
Speaker 3: sustainable business model anyway, right, And yeah, yeah, get a

1050
00:56:32,640 --> 00:56:35,560
Speaker 3: reclining chair serve people some steak tips. I don't know.

1051
00:56:36,200 --> 00:56:39,400
Speaker 2: Yeah, I actually don't like movie theaters that do that

1052
00:56:39,400 --> 00:56:43,200
Speaker 2: that aren't I don't only think I like. I don't

1053
00:56:43,280 --> 00:56:45,799
Speaker 2: like the ones that are like, we're actually a restaurant

1054
00:56:45,960 --> 00:56:49,440
Speaker 2: and you have to just deal with waiters walking in

1055
00:56:49,480 --> 00:56:53,080
Speaker 2: front of you. I'm more of an old school popcorn

1056
00:56:53,120 --> 00:56:54,800
Speaker 2: and Sarpach kids person.

1057
00:56:54,880 --> 00:56:56,680
Speaker 3: How did you feel about the Alamo draft House, Like

1058
00:56:56,719 --> 00:56:58,840
Speaker 3: when they got really really strict and everybody loved it

1059
00:56:58,880 --> 00:57:00,480
Speaker 3: and their business went through the roof. They were like

1060
00:57:00,600 --> 00:57:01,920
Speaker 3: kicking people out for whispering.

1061
00:57:02,560 --> 00:57:05,000
Speaker 2: Yeah, I guess I don't. I don't mind that as much.

1062
00:57:05,040 --> 00:57:07,720
Speaker 2: I guess I just haven't had like a great Almo

1063
00:57:07,840 --> 00:57:11,439
Speaker 2: draft House experience. Maybe that's that's it. I just need

1064
00:57:11,480 --> 00:57:14,319
Speaker 2: to I don't know. There's something about the movie going

1065
00:57:14,360 --> 00:57:17,840
Speaker 2: experience where I just like want to not have to

1066
00:57:18,000 --> 00:57:20,400
Speaker 2: order things in the middle of it, Like I want

1067
00:57:20,440 --> 00:57:23,280
Speaker 2: to want that drug to kick in where I'm just

1068
00:57:23,400 --> 00:57:26,960
Speaker 2: like in the hands of the director or whatever, you know.

1069
00:57:27,680 --> 00:57:30,320
Speaker 1: I like being in the hands of the of the

1070
00:57:30,320 --> 00:57:33,440
Speaker 1: cinema and then a waiter goes by to your neighbors,

1071
00:57:33,480 --> 00:57:36,680
Speaker 1: like the case I was really hot and it's just

1072
00:57:36,760 --> 00:57:42,120
Speaker 1: a fall. It's just delightful. Don't remember where you are.

1073
00:57:42,280 --> 00:57:44,120
Speaker 1: I mean, I will say a little bit the counterpoint,

1074
00:57:44,160 --> 00:57:47,800
Speaker 1: because any fool could could watch a pretty good, you

1075
00:57:47,800 --> 00:57:50,720
Speaker 1: know movie at home these days. Yeah, I do think

1076
00:57:50,760 --> 00:57:53,320
Speaker 1: it's a massive humanity is what you want when you

1077
00:57:53,320 --> 00:57:55,920
Speaker 1: go to a theater these days, So like, just make

1078
00:57:56,000 --> 00:57:57,959
Speaker 1: it fucking crazy pants. I don't care.

1079
00:57:58,120 --> 00:58:01,680
Speaker 2: Yeah, yeah, I agree, Like just any anything to get

1080
00:58:01,680 --> 00:58:03,960
Speaker 2: in a room with other people and watch a movie.

1081
00:58:04,120 --> 00:58:07,040
Speaker 2: Go go nuts, guys. I'm open to everything, but like

1082
00:58:07,600 --> 00:58:10,320
Speaker 2: not things that are again, I mean, it came up

1083
00:58:10,360 --> 00:58:14,080
Speaker 2: with the AI with like tricking people. It seems like

1084
00:58:14,440 --> 00:58:18,480
Speaker 2: it's such a big and accepted part of capitalism these

1085
00:58:18,560 --> 00:58:21,200
Speaker 2: days that we're just like, yeah, we just got to

1086
00:58:21,200 --> 00:58:24,600
Speaker 2: get better at tricking people. And then this law is

1087
00:58:24,640 --> 00:58:26,680
Speaker 2: coming up and people are like, if we stop letting

1088
00:58:26,760 --> 00:58:29,640
Speaker 2: us trick people, then we lose a big chunk of

1089
00:58:29,720 --> 00:58:33,160
Speaker 2: like revenue for I get because I guess movie theaters

1090
00:58:33,160 --> 00:58:34,800
Speaker 2: are paid for showing.

1091
00:58:34,560 --> 00:58:37,800
Speaker 1: Well, no, this was this was the question, right or

1092
00:58:37,840 --> 00:58:40,080
Speaker 1: did did we did this? Guy looked up? I was

1093
00:58:40,120 --> 00:58:43,919
Speaker 1: like kind of speculating on this prior to recording. I think,

1094
00:58:43,960 --> 00:58:45,920
Speaker 1: but this happened this weekend. I was talking to my

1095
00:58:45,960 --> 00:58:48,600
Speaker 1: friend in the theater, and I was just like, which

1096
00:58:48,720 --> 00:58:52,640
Speaker 1: direction does the revenue go when a movie theater plays

1097
00:58:52,680 --> 00:58:55,760
Speaker 1: a trailer which is an AD, but it's also an

1098
00:58:55,800 --> 00:58:58,240
Speaker 1: ad for a product that they sell at the place

1099
00:58:58,280 --> 00:59:01,480
Speaker 1: where they're showing it, right, And I literally have no idea.

1100
00:59:01,560 --> 00:59:05,560
Speaker 1: I don't know if you know Warner plays Alamo draft House.

1101
00:59:06,240 --> 00:59:08,840
Speaker 1: Alamo draft House maybe pays Warner. That doesn't make that

1102
00:59:08,920 --> 00:59:10,360
Speaker 1: much sense or no one?

1103
00:59:10,360 --> 00:59:12,920
Speaker 3: I thought I got a distribution deal with the feature.

1104
00:59:13,440 --> 00:59:15,280
Speaker 2: Yeah, I think that's what it is, actually part of

1105
00:59:15,280 --> 00:59:18,360
Speaker 2: the movie. This is not from the AI answer. I'm

1106
00:59:18,400 --> 00:59:24,040
Speaker 2: skipping past the aioverview to a article from how Stuff Works.

1107
00:59:24,360 --> 00:59:29,040
Speaker 2: Shout out to the old house Stuff Works. Traditionally, production

1108
00:59:29,120 --> 00:59:32,680
Speaker 2: companies do not pay to show trailers before movies. Rather,

1109
00:59:32,840 --> 00:59:36,600
Speaker 2: producers and theaters benefit from an exchange of services. Theaters

1110
00:59:36,640 --> 00:59:39,800
Speaker 2: get to screen their chosen feature films, and in return,

1111
00:59:39,920 --> 00:59:43,760
Speaker 2: producers and studios get to show their chosen trailers, so

1112
00:59:44,720 --> 00:59:45,840
Speaker 2: they get to decide.

1113
00:59:46,360 --> 00:59:48,840
Speaker 3: I'm so happy I remember that from my long ago

1114
00:59:48,920 --> 00:59:50,360
Speaker 3: job writing for these sidelines.

1115
00:59:50,640 --> 00:59:55,440
Speaker 1: Yeah. But then, so like Sony owns draft House, could

1116
00:59:55,440 --> 00:59:59,760
Speaker 1: they force AMC to play draft House ads in front

1117
00:59:59,800 --> 01:00:03,320
Speaker 1: of a Sony movie.

1118
01:00:02,440 --> 01:00:06,600
Speaker 2: Problem, why not, Yeah, I'm sure they could. A writer

1119
01:00:07,280 --> 01:00:11,200
Speaker 2: JM was pointing out. Jam mcknapp was pointing out that

1120
01:00:11,840 --> 01:00:15,000
Speaker 2: this is a long distance we've come from. Do you

1121
01:00:15,040 --> 01:00:18,800
Speaker 2: guys remember when Meet Joe Black had like a noticeable

1122
01:00:19,480 --> 01:00:23,840
Speaker 2: spike in ticket sales because the trailer for The Phantom

1123
01:00:23,880 --> 01:00:27,600
Speaker 2: Menace was attached to it, like happened before it, and

1124
01:00:28,520 --> 01:00:31,480
Speaker 2: people were just going to buying tickets for Meet Joe

1125
01:00:31,560 --> 01:00:35,440
Speaker 2: Black just to watch the trailer for the Phantom Menace

1126
01:00:35,840 --> 01:00:37,280
Speaker 2: and then like leaving the theater.

1127
01:00:37,880 --> 01:00:41,080
Speaker 1: I mean, I'll watch a movie trailer on YouTube, so

1128
01:00:41,200 --> 01:00:44,480
Speaker 1: I'll watch an ad that also has an ad break

1129
01:00:44,520 --> 01:00:49,120
Speaker 1: within it. So like, as you know, we're stupid as

1130
01:00:49,120 --> 01:00:51,720
Speaker 1: a culture, that's right, or I am stupid as a

1131
01:00:51,760 --> 01:00:52,760
Speaker 1: human being. I guess we'll be.

1132
01:00:52,880 --> 01:00:54,760
Speaker 3: No, I've been bothered by the same thing. Every time

1133
01:00:54,800 --> 01:00:56,520
Speaker 3: I can go to the trailer and the ad starts up,

1134
01:00:56,560 --> 01:00:58,560
Speaker 3: I'm like, but it's but I'm already.

1135
01:00:58,640 --> 01:00:59,880
Speaker 2: Watching an ad on Purple.

1136
01:01:00,120 --> 01:01:03,760
Speaker 3: This was consensual and now it's not exactly.

1137
01:01:04,520 --> 01:01:07,760
Speaker 2: Well, Emily, such a pleasure having you, where can people

1138
01:01:07,880 --> 01:01:09,800
Speaker 2: find you? Follow you? All that good stuff?

1139
01:01:10,040 --> 01:01:13,800
Speaker 3: So on pretty much everything on Twitter on or x

1140
01:01:13,880 --> 01:01:18,200
Speaker 3: on blue Sky on Instagram. I'm at Galvin Almanza. It's

1141
01:01:18,200 --> 01:01:20,600
Speaker 3: my last name, and you can also check out Partners

1142
01:01:20,600 --> 01:01:23,000
Speaker 3: for Justice at Partnersforjustice dot org.

1143
01:01:23,760 --> 01:01:27,120
Speaker 2: All right, and is there a work of media that

1144
01:01:27,160 --> 01:01:28,320
Speaker 2: you've been enjoying.

1145
01:01:28,960 --> 01:01:34,720
Speaker 3: Yeah, I mean, honestly, I'm reading the new uh Moracami novel.

1146
01:01:35,320 --> 01:01:38,480
Speaker 3: It's really good. It's for people who are like into

1147
01:01:39,160 --> 01:01:43,960
Speaker 3: Japanese surrealist fiction. It takes place in an imaginary walled

1148
01:01:43,960 --> 01:01:47,240
Speaker 3: city where people are deprived of their shadows. So escapism

1149
01:01:47,360 --> 01:01:50,040
Speaker 3: is good right now, Like, just go dive into a

1150
01:01:50,080 --> 01:01:52,680
Speaker 3: book and live in a different world for three weeks

1151
01:01:52,720 --> 01:01:53,120
Speaker 3: at a time.

1152
01:01:53,240 --> 01:01:56,920
Speaker 1: I hard recommend that motherfucker loves or hates shadows. I

1153
01:01:56,960 --> 01:01:58,840
Speaker 1: can't remember which. I mean.

1154
01:01:58,840 --> 01:02:02,080
Speaker 3: He's mean to shiftados, He's like, bad things are happening.

1155
01:02:02,080 --> 01:02:04,280
Speaker 3: The shadows are essentially enslaved in this and.

1156
01:02:04,240 --> 01:02:07,000
Speaker 1: There's there's shadows Hard Boiled Wonderland at the End of

1157
01:02:07,000 --> 01:02:07,280
Speaker 1: the World.

1158
01:02:07,400 --> 01:02:08,240
Speaker 2: This is the sequel to that.

1159
01:02:08,640 --> 01:02:11,840
Speaker 3: This is Yeah. I wasn't going to go into a

1160
01:02:11,880 --> 01:02:15,120
Speaker 3: total nerd conversation for your audience, but yes, if you

1161
01:02:15,200 --> 01:02:17,200
Speaker 3: read Hard Boiled Wonderland and The End of the World,

1162
01:02:17,400 --> 01:02:19,840
Speaker 3: just right, up where that lived off, same walled city,

1163
01:02:19,960 --> 01:02:25,200
Speaker 3: same unicorns, same problematic marginalization of shadows.

1164
01:02:26,240 --> 01:02:28,800
Speaker 1: Weird, weird relationship to women and food.

1165
01:02:30,200 --> 01:02:35,240
Speaker 2: Years yeah, years, and ship's there? You get Andrew? Where

1166
01:02:35,240 --> 01:02:38,760
Speaker 2: can people find you? Is there work Amedia you've been enjoying? Oh?

1167
01:02:38,880 --> 01:02:39,240
Speaker 1: Man?

1168
01:02:39,520 --> 01:02:39,640
Speaker 2: Uh?

1169
01:02:39,920 --> 01:02:42,640
Speaker 1: Just Andrew tea? It doesn't really matter where? Who cares?

1170
01:02:44,000 --> 01:02:47,760
Speaker 1: I guess. The last thing that I haven't recommended on Daily's,

1171
01:02:47,760 --> 01:02:50,320
Speaker 1: like I sed in some form, is I'm rereading a

1172
01:02:50,360 --> 01:02:53,080
Speaker 1: book by China Meeville called Last Days of New Paris,

1173
01:02:53,680 --> 01:02:57,400
Speaker 1: which is sort of I forgot, but it's sort of

1174
01:02:57,400 --> 01:03:00,360
Speaker 1: a spiritual companion to the other I think I recommended,

1175
01:03:00,560 --> 01:03:03,520
Speaker 1: or I said I was enjoying between two Fires, But

1176
01:03:03,640 --> 01:03:05,720
Speaker 1: Last Day's of New Paris is another book of just

1177
01:03:05,760 --> 01:03:08,640
Speaker 1: like rebels wandering around a fucked up version of France.

1178
01:03:09,320 --> 01:03:13,040
Speaker 1: And this one is speaking of surrealists. It's it's in

1179
01:03:13,120 --> 01:03:18,080
Speaker 1: a parallel universe, not to the occupied Paris, but all

1180
01:03:18,200 --> 01:03:21,560
Speaker 1: the like Surrealists' work of art have come to life,

1181
01:03:21,600 --> 01:03:28,080
Speaker 1: and are these enormous monsters wandering around with seemingly no aim.

1182
01:03:28,160 --> 01:03:31,320
Speaker 1: And it's it's real depressing. The one thing that really

1183
01:03:31,360 --> 01:03:33,120
Speaker 1: has been fucking me up on it is. I've been

1184
01:03:33,160 --> 01:03:37,200
Speaker 1: trying to read from a physical book at night without

1185
01:03:37,240 --> 01:03:40,000
Speaker 1: my phone, and my knowledge of art history is not

1186
01:03:40,040 --> 01:03:42,840
Speaker 1: good enough. So there's a lot of terms of literal

1187
01:03:42,960 --> 01:03:45,960
Speaker 1: art being dropped that I am not clear if they

1188
01:03:45,960 --> 01:03:48,240
Speaker 1: are science fiction terms that he invented for the book

1189
01:03:48,320 --> 01:03:53,320
Speaker 1: or actual art terms. So pink, it's very confusing, Yeah exactly,

1190
01:03:53,880 --> 01:03:56,720
Speaker 1: Yeah no, but it's just all these like casual name

1191
01:03:56,800 --> 01:04:02,720
Speaker 1: drops and like slang truncations of like famous surrealist works

1192
01:04:02,720 --> 01:04:04,120
Speaker 1: of art that I'm just like, I don't know if

1193
01:04:04,120 --> 01:04:06,480
Speaker 1: there's a monster you made up, I don't know, there's.

1194
01:04:08,440 --> 01:04:09,120
Speaker 2: No anymore.

1195
01:04:09,120 --> 01:04:12,080
Speaker 1: B I'm so confused. Anyways, it is a good book,

1196
01:04:12,280 --> 01:04:16,320
Speaker 1: and I read it a long time ago, but I

1197
01:04:16,360 --> 01:04:18,320
Speaker 1: should not be reading it without a phone, even though

1198
01:04:18,360 --> 01:04:19,120
Speaker 1: that's what I'm trying to do.

1199
01:04:19,200 --> 01:04:23,280
Speaker 2: It's going very slowly. Godspeed to you, sir. Thanks amazing.

1200
01:04:24,320 --> 01:04:27,240
Speaker 2: You can find me on Twitter at Jack Underscore Obrian

1201
01:04:27,320 --> 01:04:31,920
Speaker 2: on Blue Sky Jack ob The number one I've been enjoying.

1202
01:04:31,960 --> 01:04:36,520
Speaker 2: I watched a movie because I heard that Stanley Kubrick

1203
01:04:36,640 --> 01:04:39,360
Speaker 2: called it the most terrifying movie I'd ever seen, and

1204
01:04:39,560 --> 01:04:42,640
Speaker 2: so I watched over the weekend, The Vanishing which is

1205
01:04:42,680 --> 01:04:49,000
Speaker 2: a Dutch film that is real fucked up, and highly

1206
01:04:49,040 --> 01:04:53,640
Speaker 2: recommend a real compelling, interesting watch. And yes I felt

1207
01:04:53,640 --> 01:04:59,320
Speaker 2: compelled to go a little highbrow becauseous series right now,

1208
01:04:59,400 --> 01:05:00,840
Speaker 2: it's real precious.

1209
01:05:01,320 --> 01:05:04,840
Speaker 1: But also I have recommended a bunch of trash TV

1210
01:05:05,000 --> 01:05:05,520
Speaker 1: the Lastness.

1211
01:05:06,360 --> 01:05:09,640
Speaker 2: Yeah, this is not a super challenging movie as long

1212
01:05:09,640 --> 01:05:14,760
Speaker 2: as you're willing to read the SubTime yeah ooo folk

1213
01:05:14,840 --> 01:05:19,440
Speaker 2: subtitles all right. You can find us on Twitter at

1214
01:05:19,520 --> 01:05:22,880
Speaker 2: daily Zeitgeist, where at the Daily Zeitgeist on Instagram, we

1215
01:05:22,880 --> 01:05:25,040
Speaker 2: have a Facebook fan page and a website, Daily zeitgeist

1216
01:05:25,080 --> 01:05:27,720
Speaker 2: dot com. You can go to the episode wherever you're

1217
01:05:27,720 --> 01:05:30,680
Speaker 2: listening to this and check out the description of the

1218
01:05:30,720 --> 01:05:33,400
Speaker 2: episode you listen to, and you will find the footnotes

1219
01:05:33,520 --> 01:05:36,560
Speaker 2: which will link off to the information that we talked

1220
01:05:36,560 --> 01:05:39,480
Speaker 2: about in today's episode. We also look off to a

1221
01:05:39,520 --> 01:05:42,440
Speaker 2: song that we think you might enjoy. Miles is out,

1222
01:05:42,480 --> 01:05:45,000
Speaker 2: and when Miles is out, we like to ask super

1223
01:05:45,040 --> 01:05:48,440
Speaker 2: producer Justin Conner, is there a song that you think

1224
01:05:48,560 --> 01:05:49,960
Speaker 2: people might enjoy?

1225
01:05:50,640 --> 01:05:53,080
Speaker 4: Yeah, this is one of the few times where I

1226
01:05:53,160 --> 01:05:56,240
Speaker 4: don't have like a long, flowery description of the track.

1227
01:05:56,280 --> 01:06:00,120
Speaker 4: I'm going the opposite of pretentious. The counterbalance the recommend.

1228
01:06:03,320 --> 01:06:06,320
Speaker 4: But this is a really fun track. It's called Wiggy

1229
01:06:06,360 --> 01:06:10,280
Speaker 4: by Puerto Rican rapper Young Miko, and it's just really fun.

1230
01:06:10,320 --> 01:06:13,919
Speaker 4: It's got a deeply resonant, elastic like ato weight bass

1231
01:06:14,040 --> 01:06:16,560
Speaker 4: and the sporadic rhythm changes in the top end of

1232
01:06:16,560 --> 01:06:20,360
Speaker 4: the percussion. Her delivery is just full of swagger and

1233
01:06:20,600 --> 01:06:23,760
Speaker 4: it's it's amazing because she's bilingual and I don't know

1234
01:06:23,800 --> 01:06:26,120
Speaker 4: what she's saying, but it sounds extremely confident and it

1235
01:06:26,120 --> 01:06:28,000
Speaker 4: puts me in a good mood. So this again is

1236
01:06:28,040 --> 01:06:30,200
Speaker 4: Wiggy by Young Miko, and you can find that song

1237
01:06:30,240 --> 01:06:31,600
Speaker 4: in the footnotes footnotes.

1238
01:06:32,200 --> 01:06:34,680
Speaker 2: The Daily Zeitkes is a production of iHeartRadio. For more

1239
01:06:34,720 --> 01:06:37,840
Speaker 2: podcasts from iHeartRadio, visit the iHeartRadio w ap Apple Podcasts

1240
01:06:38,080 --> 01:06:40,280
Speaker 2: or wherever you listen to your favorite shows. That's gonna

1241
01:06:40,320 --> 01:06:44,080
Speaker 2: do it for us this morning. We're back this afternoon

1242
01:06:44,120 --> 01:06:46,120
Speaker 2: to tell you what is trending, and we'll talk to

1243
01:06:46,200 --> 01:06:49,240
Speaker 2: you all then Bye.