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Speaker 1: On the Doll Cast. The questions asked if movies have

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Speaker 1: women and um are all their discussions just boyfriends and

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Speaker 1: husbands or do they have individualism? The patriarchy? Zef in

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Speaker 1: best start changing it with the bel Cast. Jamie, Hey,

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Speaker 1: I don't have a great intro for this, but I

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Speaker 1: was thinking that we should get those little like carrot

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Speaker 1: shaped pens. They are also voice recorders that Judy Hopps

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Speaker 1: has in the movie, and then use that to record

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Speaker 1: the beck Dold Cast on from now on. Just depend

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Speaker 1: with how much I had genuine questions about a lot

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Speaker 1: of things in this movie. One of the lower stakes

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Speaker 1: things was the pen. I was like, how much storage

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Speaker 1: is on that thing? Is there an SD card? I

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Speaker 1: think it's. I think it's we gotta we gotta go

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Speaker 1: to I. I don't want to go to zo Topia.

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Speaker 1: I really don't. Um, well, I'll still go. I gotta

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Speaker 1: be honest, you go, what would you do? Um, we'll

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Speaker 1: get to that. Welcome to the Bechtel Cast. My name

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Speaker 1: is Jamie Loftus, my name is Caitlin Darante, and this

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Speaker 1: is our show where we examine movies through an intersectional

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Speaker 1: feminist lens using the Bechtel test simply as a jumping

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Speaker 1: off point. But Jamie, I don't remember what that is. Well,

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Speaker 1: I can tell you what it is if you want, Okay,

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Speaker 1: I will. The Bechdel Test is a media metric created

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Speaker 1: by queer cartoonist Alison Bechdel, sometimes called the Bechtel Wallace Test.

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Speaker 1: Many per mutations of this test. Here's the one we use.

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Speaker 1: We require that two characters with names of a marginalized

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Speaker 1: gender speak to each other about something other than a

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Speaker 1: man for two lines of dialogue minimum, and the it

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Speaker 1: has to have some meaning to it. It's got to

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Speaker 1: have some heft. I like that. Nothink I've ever said.

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Speaker 1: I don't find myself saying heffed out loud a lot.

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Speaker 1: But and for anyone was to the show for the

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Speaker 1: first time, being like, is that all you're going to

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Speaker 1: talk about on the show? No? And in fact, I'll

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Speaker 1: say that this movie does pass um. It's not really

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Speaker 1: it's not as maybe not as much as a show,

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Speaker 1: but it does. You know, we'll talk about it. Something

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Speaker 1: that has been happening to me for the past I

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Speaker 1: don't know, one to two years of this podcast is

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Speaker 1: I forget to pay attention very I mean, it's and

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Speaker 1: you're very on top. You're great at your job. Thank you.

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Speaker 1: But that is the one thing you good is the

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Speaker 1: name of this show. We've transcended so far beyond the

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Speaker 1: very basic low bar that is the Bechdel test. Yeah,

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Speaker 1: our our third eyes are open, right, and I just

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Speaker 1: where is this? Uh? Genuinely I think they're coming up

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Speaker 1: on three hunt are definitely with our Matreon episodes, we've

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Speaker 1: covered around three D and fifty movies. Yeah, let me

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Speaker 1: consult the Wikipedia. Also shout out to the mysterious benefactor

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Speaker 1: who's been taking care of the Wikipedia page for years now.

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Speaker 1: We don't know who you are, but boy, do you

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Speaker 1: put me on blast in the footnotes sometimes? Holyishh it

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Speaker 1: I never I forget to check. Two hundred seventy seven

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Speaker 1: episodes out of today have been released on the maid

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Speaker 1: feed on the Mad Yeah, I've been doing this for

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Speaker 1: many moons. Oh my goodness. Well let's get our guests

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Speaker 1: in the mix, shall we. He's a writer and director

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Speaker 1: and that's our friend Matt Mixon. Thanks for having me,

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Speaker 1: thanks for coming on, thank you for and thank you

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Speaker 1: for bringing us a real pickle of a waiting And

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Speaker 1: why did we do this one? Again? Was this on

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Speaker 1: the list on your list, but this but my I

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Speaker 1: made my list based off of the frequently requested yeah

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Speaker 1: backtel cast list right correct. We've gotten a lot of

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Speaker 1: requests for this movie over the years, and I once again,

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Speaker 1: as with many of our popular requests, I'm like, really, everyone,

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Speaker 1: are we okay? Um? But we're We're curious, Matt, what

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Speaker 1: is your history? It was, oh yeah, the movies Utopia.

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Speaker 1: He came out in the greatest year of all time? Um, Matt,

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Speaker 1: what's your history with this movie? I watched this movie

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Speaker 1: on the day of a funeral of like a really

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Speaker 1: close loved one past and I was in Wisconsin and

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Speaker 1: it was freezing, and I was with my mom and

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Speaker 1: my sister and we popped it on and I remember

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Speaker 1: really enjoying it. It was my number fourteen movie often.

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Speaker 1: I retroactively popped it on having seen it in January.

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Speaker 1: Do you do yearly rankings? Yeah? I do him. Um,

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Speaker 1: I keep it running ranking on letterbox now. But also

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Speaker 1: have a movie journal so I can always know the

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Speaker 1: day and like, who I saw this? That's so nice.

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Speaker 1: I should be more diligent about logging my movie activity.

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Speaker 1: It's just like a it's like a life journal. You

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Speaker 1: can just look back and remember. You'll just see a

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Speaker 1: weird name, be like who Funks? Did I see that with?

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Speaker 1: Like or you know, yeah, it's just really it's a

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Speaker 1: nice way to remember. Yeah, I Maggie may Fish shout

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Speaker 1: out to someone who's wedding we just attended. UM makes

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Speaker 1: movie journals. I think we will drop the link in

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Speaker 1: there because I because I got one and I have

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Speaker 1: yet to use it because I have a fundamental resistance

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Speaker 1: to remember things that happened to me. UM, and that's

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Speaker 1: a therapy problem. So, um, Jamie, what's your history and

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Speaker 1: relationship with Zootopia? Nothing. I had not seen this movie,

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Speaker 1: and it was what a journey because I feel like

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Speaker 1: maybe if I saw this at the beginning of twenty

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Speaker 1: sixteen when it came out, I probably would have felt

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Speaker 1: different just because but I don't know. I mean, I yeah,

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Speaker 1: I hadn't seen it. I didn't really know what it

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Speaker 1: was about, and I didn't like it. It's fucking it's

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Speaker 1: such a bad movie. Okay, I'm glad that the Tension

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Speaker 1: has been released, because I fucking hated every second of

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Speaker 1: this movie. It was like kind of vile and it

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Speaker 1: was like, I don't think that there were like poor

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Speaker 1: intentions behind this movie, but like the just every bad

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Speaker 1: choice like it was. I was blown away by how

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Speaker 1: much I disliked it. I think people requested this movie

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Speaker 1: originally because they liked it. Yeah, but it's about girl

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Speaker 1: boss Cop Solves, who causes racism and then she fixes it,

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Speaker 1: but also she This movie truly blew my mind for

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Speaker 1: like how many very at least very obvious, uh flights

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Speaker 1: of logic that it just barrels through. Um. So yeah,

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Speaker 1: I'm I came to this movie with fresh eyes, and boy,

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Speaker 1: oh boy, I hated it. You remember liking it when

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Speaker 1: you first saw it as well, which was in theaters,

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Speaker 1: and when did it come out, like March of and

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Speaker 1: I remember having a good time, But that was also

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Speaker 1: the year that Mo Wanna came out, and I remember

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Speaker 1: being furious that this movie, Zutopia won the Academy Award

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Speaker 1: for Best Animated Feature the Academy Award over mo Wanna. Yes,

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Speaker 1: And I was absolutely furious because I was like, yeah,

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Speaker 1: Zutopia was fun, but Mohanna is a far superior film.

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Speaker 1: And the gap now between the quality of those two movies,

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Speaker 1: because at the time I was like, oh yeah, Zutopia

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Speaker 1: is only slightly not as good, But now I'm like

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Speaker 1: Zootopia's socks and Mohanna is still perfect, so I think

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Speaker 1: it is. Really, I mean, it's an interesting example of

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Speaker 1: like how much public thinking has changed in the last

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Speaker 1: six years alone. It came out six like less than

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Speaker 1: six years ago, and I truly was shocked at how

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Speaker 1: poorly it's aged. Like just, yeah, there's there's so much

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Speaker 1: to talk about. We're not like coming into I Sometimes

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Speaker 1: I feel like we come into a movie like this movie,

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Speaker 1: Like if you liked the movie when it came out,

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Speaker 1: I'm sure I would. Like if I had seen it

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Speaker 1: in theaters, I'm sure I would. I would have enjoyed it.

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Speaker 1: And like, if you still like it, that's also fine.

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Speaker 1: But then listen to us during the episode. Yeah, should

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Speaker 1: we just get into it? I guess so, yeah, and

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Speaker 1: Matt feel free to jump in during the recap, we

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Speaker 1: go there's so much there's so many things that I'm

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Speaker 1: going to want to be like but wait, if that's true,

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Speaker 1: how could that be true? Okay? How did she puts

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Speaker 1: her phone in a plastic ziploc baggy to like when

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Speaker 1: they flushed themselves down the toilet? But why doesn't she

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Speaker 1: do that for her little pen. That's the first thing

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Speaker 1: you're taking only because we were talking about that's the

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Speaker 1: my only gripe with the film end of episode everything else,

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Speaker 1: the message that positive. I think it made a ton

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Speaker 1: of sense. This uh well, kind of say again before

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Speaker 1: we start shooting all of this movie. I enjoyed it

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Speaker 1: when I saw it. Yeah, a lot has changed in

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Speaker 1: four or five years. So whatever, let's have a good

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Speaker 1: time here. But you know, just I it was my

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Speaker 1: number fourteen of the year. I mean that's crazy, that's wild.

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Speaker 1: I mean it's like, yeah, so so again it's like

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Speaker 1: as always on the back to cast, never feel bad

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Speaker 1: for loving him, unless I mean there's a few where

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Speaker 1: it's like you should feel bad. This is not one

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Speaker 1: of them, right. But also, you know, if we can

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Speaker 1: bring maybe a few red flags to your attention, we

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Speaker 1: would like to do that. That's our job. Okay. So

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Speaker 1: Zootopia takes place in an advanced animal society where predator

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Speaker 1: animals and prey animals coexist in harmony. Big cats can

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Speaker 1: be accountants, sheep can be astronauts. Anyone can be anything,

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Speaker 1: though it wasn't always that way in this world, predators

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Speaker 1: used to eat prey, just like in our world. Uh

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Speaker 1: but again, huge problems, enough for fun, but the animals

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Speaker 1: have evolved beyond that. So we meet Judy Hopps. She's

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Speaker 1: a young rabbit who wants to be a police officer

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Speaker 1: for the city of Zutopia number two, also voiced by

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Speaker 1: um mrs. He's just not that into you herself A

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Speaker 1: good one. I hadn't heard of this person. Oh really

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Speaker 1: she's I'm sure she's in other things, and but I

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Speaker 1: know her as the person who really was not fun

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Speaker 1: to watch in a movie that wasn't fun to watch.

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Speaker 1: He's just not that into you. Sure, wow, Okay, So

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Speaker 1: she wants to be a cop when she grows up,

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Speaker 1: something that her carrot farmer parents try to discourage her

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Speaker 1: from doing, saying that there's never been a bunny cop before.

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Speaker 1: That's again, it's like it's so at first, then the

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Speaker 1: parents are like, don't be a cop. I was like,

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Speaker 1: all right, I'm listening, and they're like, because bunny a cop,

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Speaker 1: it wouldn't have I was like, oh god, okay, we

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Speaker 1: missed it. And then it's like, oh, not wanting a

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Speaker 1: bunny to be a cop is prejudice and misogyny. It's right.

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Speaker 1: The muddled allegory is really muddled, and the movie is

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Speaker 1: confused anyway. Okay, So her parents are like, don't be

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Speaker 1: a cop and then also a bully. This fox named

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Speaker 1: Gideon also tells her that she'll never be anything more

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Speaker 1: than a week carrot farming little bunny and then he

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Speaker 1: scratches her face. So now she has all this fox

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Speaker 1: related trauma. Cut to fifteen years later, Judy is now

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Speaker 1: attending Zutopia Police Academy. She struggles at first, but learns

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Speaker 1: to play to her strengths and she starts to excel

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Speaker 1: at the academy. This whole scene was really giving me

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Speaker 1: the worst possible version of that sequence from Mulan, Oh,

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Speaker 1: where Mulan becomes a really amazing soldier, except this is

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Speaker 1: her book coming a semi competent cop, and it's like

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Speaker 1: she keeps hearing the like you'll never be a cop,

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Speaker 1: and it's like sometimes it's like listen to the voices

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Speaker 1: in your head. I mean, there's nothing wrong with giving up. Yes, Okay.

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Speaker 1: So then at her graduation from the academy, the mayor

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Speaker 1: of Zutopia, a lion named lion Heart, while also created

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Speaker 1: and his assistant mayor, a sheep named Yes literally Jenny

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Speaker 1: Yes a k a. Also Bell Weather. They recognize Judy's accomplishments.

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Speaker 1: She's the valedictorian of her class and she's the first

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Speaker 1: rabbit to become a police officer in Zootopia. So Jody

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Speaker 1: is about to ship off to Utopia. Her parents tell

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Speaker 1: her to be careful in the big city, to be

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Speaker 1: aware of predator animals like bears and wolves and especially foxes.

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Speaker 1: Then they give her some fox repellent spray. Judy then

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Speaker 1: city like Tundra town Sahara Square, and Rainforest District Wow.

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Speaker 1: So on her first day on the job, Judy learns

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Speaker 1: about fourteen different missing animal cases. They are all predators

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Speaker 1: assigns her parking duty, and while she's doing that, she

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Speaker 1: but then it turns out he's just It's Jason Bateman

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Speaker 1: and he's just trying to buy his son a popsicle

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Speaker 1: from an elephant who is prejudice against foxes. But then

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Speaker 1: name is Nick Wild. By the way, this is like

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Speaker 1: the first of many examples in this movie where a

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Speaker 1: prejudice is referenced, but then canonically in the world, it's like,

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Speaker 1: and she was right, Like, you're just like right, what

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Speaker 1: is the point? What is the function of that? I

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Speaker 1: will say that There's all these like little moments towards

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Speaker 1: want to be a girl boss cop. But then she's like,

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Speaker 1: like that's loaded into like issuing petty parking tickets to

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Speaker 1: the working class and what if I did that? It's okay, right?

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Speaker 1: Or are we are we jumping in to talk about it?

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Speaker 1: Or do you want to finish your thing because I

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Speaker 1: got thoughts. We'll get well, let's let's get through the

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Speaker 1: recap and then I'm going to keep jumping in. Um okay,

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Speaker 1: So Nick Wild the fox is actually up to no good.

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Speaker 1: He's yeah, not bad. He melts down the popsicle to

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Speaker 1: make a bunch of smaller popsicles to sell to lemmings

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Speaker 1: to make a profit. Fun hilarious, right, So then Judy

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Speaker 1: confronts him about it, and he's like, no, I have

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Speaker 1: all the permits I need. Also, you're a loser and

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Speaker 1: you thought that, you know, you would live here and

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Speaker 1: it would be this equitable utopia, but that's not the reality.

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Speaker 1: So then she goes home and she feels all dejected.

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Speaker 1: But then the next day she stops a thief from

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Speaker 1: stealing a bag of onion like vegetables. Those are important later,

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Speaker 1: I guess um. But even so, Chief Bogo isn't happy

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Speaker 1: with her and he's about to fire her, but then

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Speaker 1: an otter named Mrs Otterton comes in another sorry, another

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Speaker 1: genius name, perfect no notes, voiced by Octavia Spencer. Is

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Speaker 1: that right, Yeah? What a thankless voice role she does.

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Speaker 1: She has like thirty seconds of screen time. So she

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Speaker 1: comes in saying that her husband Emmett Otterton has been

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Speaker 1: missing for ten days, and Judy is like, well, I'll

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Speaker 1: help find him. So Chief Bogo gives her forty eight

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Speaker 1: hours to find the missing otter, but if she can't

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Speaker 1: then she's off the force and it seems like there

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Speaker 1: are no leads for this case. But then Judy notices

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Speaker 1: Nick the fox in the photo of Emmett Otterton's last

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Speaker 1: known sighting. So Judy finds Nick and makes him help

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Speaker 1: with her investigation. Emmett Otterton had bought a popsicle from Nick,

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Speaker 1: then he went to a spa, where Judy gets a

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Speaker 1: lead that Emmett left the spa and got into a

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Speaker 1: white car. Also, like every time that she's moving the plot,

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Speaker 1: I mean she's moving the plot forward, but she often

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Speaker 1: moves the plot forward by um breaking the rules of

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Speaker 1: being a cop, where she threatens to put Nick in

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Speaker 1: jail for tax evasion. Classic cop Like she right, yes,

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Speaker 1: she's kind of born, born to do it because she

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Speaker 1: And then there's that part that we're about to get

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Speaker 1: to where she's like, well, there's ways around getting a warrant.

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Speaker 1: You're like, what the fuck? She sorry, we'll go ahead.

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Speaker 1: She fucking tricks Nick into climbing the fence, so she

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Speaker 1: has probably cause to bake. Yeah, Like that's like fucking coption,

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Speaker 1: Jennifer Goodwin. So then they go to the d m

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Speaker 1: V and run the license plate that the guy at

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Speaker 1: the spot just happened to remember. Then there's a scene

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Speaker 1: with sloths that I find so annoying. Well, it's another

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Speaker 1: example of like, oh my god, I hated it. They

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Speaker 1: used that as promo for the movie for a while,

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Speaker 1: and I was just like, I don't want to see

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Speaker 1: this movie because this scene sucks. I really hated it

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Speaker 1: so much that. Yeah, I thought it was a funny idea.

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Speaker 1: But again it is like another example of like the predge,

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Speaker 1: this is correct, right, Yeah, we were leaning into the

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Speaker 1: stereotypes of sloths. I don't know, but as a but

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Speaker 1: as a but as a funny comedy set up where

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Speaker 1: he kept changing the words in the sentence. I was last,

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Speaker 1: maybe the movie's only truly good bit. Uh, yeah, I

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Speaker 1: suppose you're right. I just found that the way that

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Speaker 1: the line delivery of the sloths, I was like that,

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Speaker 1: I just didn't like it. The performance is what I

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Speaker 1: really took issue with. Anyway. So they go to the

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Speaker 1: d m V. That leads them to a limousine company

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Speaker 1: in Tundratown, where they find the limo and inside his

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Speaker 1: Emmett's wallet and a bunch of claw marks. Judy and

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Speaker 1: Nick are like, what the fuck. But then they get

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Speaker 1: caught by the Limos owner, which is this crime boss Mr. Big.

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Speaker 1: It's a whole like homage to the Godfather for this.

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Speaker 1: This reminded me of like there's a few sequences in

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Speaker 1: this movie where this movie is like going for this

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Speaker 1: is not the first time I've said this. In the show,

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Speaker 1: they're going for a shreky in energy, but it's perhaps

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Speaker 1: not working, um because they're just like there's this like

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Speaker 1: long homage to a movie that no child has ever seen,

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Speaker 1: and they like, hopefully the parents are going to crack

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Speaker 1: up at this weird Godfather interlude that will come back.

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Speaker 1: I hated came Also, we should put shreky In on

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Speaker 1: some new merch. Shreky and something about shreking energy, shreking

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Speaker 1: vibes something. It rarely works outside of Shrek and this one.

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Speaker 1: I mean, because there's like multiple points where it's like

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Speaker 1: this movie is very like leaning into pop culture. She's like, listen,

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Speaker 1: anytime there's like a movie where they play all by

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Speaker 1: myself when the character's sad, like, okay, shreky In, um,

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Speaker 1: but it doesn't work. It wasn't laughing, not in Zootopia, Shrek.

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Speaker 1: What I we need to stop the regarding Shrek Rock

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Speaker 1: it's good, I mean, it has its problems, and then

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Speaker 1: Shrek Too. You gotta see Shrek to Shrek Too is

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Speaker 1: has suffers from many of the same problems. Also going

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Speaker 1: to say this this seek this part rips off training day,

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Speaker 1: yeah day where they're like having in the bathtub and

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Speaker 1: they're both to kill Ethan Hawk and then they find

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Speaker 1: out that he saved the dude's daughter. It's like the

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Speaker 1: exact same thing that happens there, Okay, And again it's

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Speaker 1: like that reference is for who. I don't think it's

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Speaker 1: a reference that was just straight. That was this plagiarism

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Speaker 1: that was and that was like another bizarro girl boss

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Speaker 1: cop moment where if you like, I mean, it's like,

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Speaker 1: if you apply a second of thought to a lot

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Speaker 1: of the things that happened in this movie, it just

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Speaker 1: completely falls apart or becomes deeply unethical. Um where it's

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Speaker 1: like she saves that what animal is the Godfather is

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Speaker 1: like like a little mole. I think, awesome, No, that's

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Speaker 1: not powesome. I'm from the woods, so I know about

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Speaker 1: woodland critters. Possums are huge and they're fucking on my

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Speaker 1: neighbor's roof every single night. I think it's like a

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Speaker 1: little mole maybe, but like she saves the Godfather's daughter

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Speaker 1: from and I haven't seen the Grandfather, so I'm just assume,

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Speaker 1: but I know what happens in the movie. Basically, it's

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Speaker 1: pretty good. It's wait, that's a hot take. I've never

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Speaker 1: heard that. You check it out. But Godfather too, Godfather

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Speaker 1: to suffers from many of this. This person just told

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Speaker 1: me they saw a house of Gucci twice in two days,

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Speaker 1: like fifteen minutes ago. Look, I see, I see it.

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Speaker 1: I haven't seen you know that's true. I mean, we

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Speaker 1: all have our areas we do need to, you know,

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Speaker 1: improve upon. My Godfather spot is not good. But well,

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Speaker 1: we've been talking about for years maybe doing Godfather Month

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Speaker 1: on the Matreon because we covered a frances for Cobla

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Speaker 1: movie recently. But it was Peggy's who got married Francis Yeah, yeah, yeah,

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Speaker 1: yeah I did. It's a weird one, but oh so

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Speaker 1: the logic is that Judy saved the daughter from a

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Speaker 1: large doughnut whatever, and then Judy compliments her wedding dress,

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Speaker 1: and then all of a sudden, it's like, oh, okay,

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Speaker 1: now the cops can collude with the mob, and then

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Speaker 1: that's just cannon. For the rest of the movie, the

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Speaker 1: cops are colluding with the mob, which happens in real life.

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Speaker 1: But I don't think that that's any Like the movie

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Speaker 1: is not commenting on anything there, Like the mob is

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Speaker 1: funny r so, and we love cops that here in Zootopia,

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Speaker 1: Oh my god, they love cops. So the crime boss

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Speaker 1: is like, all right, you can get some more information

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Speaker 1: from the driver of the limo. So Judy and Nick

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Speaker 1: go to the rainforest district to talk to the limo driver,

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Speaker 1: a jaguar named Mr Manches, who says that all of

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Speaker 1: a sudden, emmet the otter went wild in the limo.

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Speaker 1: He became violent and attacked him, all while yelling about

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Speaker 1: night howlers. And then right then Mr Manches also turns

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Speaker 1: into a wild animal and attacks them. Judy and Nick

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Speaker 1: narrowly escape, but when Chief Bogo shows up to the scene,

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Speaker 1: Mr Manches is gone, so Judy has no evidence to

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Speaker 1: support her theory that for some reason, these animals are

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Speaker 1: going wild. But Judy still has a few hours to

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Speaker 1: crack the case. So she and Nick, who are getting

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Speaker 1: along better, maybe they're even becoming friends. What they set

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Speaker 1: off to city Hall to get help from Assistant Mayor Bellweather,

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Speaker 1: who Assistant Mayor Jenny Slade missing a major piece which

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Speaker 1: thing trauma. Oh, yes, okay, so there's a flashback. Yeah,

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Speaker 1: I figured we'd we'd get sometimes I gloss over. Let

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Speaker 1: me do my job, Matt. So they go to bell Weather,

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Speaker 1: who can get them access to traffic cams to see

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Speaker 1: where Mr Manches went. They discover that a couple of

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Speaker 1: wolves grabbed Mr Manches and put him in the back

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Speaker 1: of a van. Judy's like, oh, those must be the

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Speaker 1: night howlers, because wolves howl. So they track where the

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Speaker 1: wolves went, which leads Judy and Nick to this facility

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Speaker 1: where they find a number of predator animals basically all

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Speaker 1: the mammals who have recently gone missing, including Emmett Otterton,

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Speaker 1: but they're all like feral and wild. Then Mayor lion

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Speaker 1: Heart comes in. He seems to be the bad guy

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Speaker 1: behind this whole operation. So, like Judy calls it in,

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Speaker 1: the mayor is arrested and it seems like the case

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Speaker 1: is solved. And this is one of the points in

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Speaker 1: the movie that I got so frustrated because it's like, Okay,

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Speaker 1: city Hall corruption yeah, totally, but but but but you

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Speaker 1: know what institution is above criticism the cops. You're like

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Speaker 1: a fucking hey, come on. Anyways, So then during a

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Speaker 1: press conference about this case, Judy mentions that all of

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Speaker 1: the animals that went wild, we're predators and mentions that

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Speaker 1: maybe it has something to do with their biology, which

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Speaker 1: greatly upsets Nick since as a fox he is a predator,

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Speaker 1: so he storms off. And then following this press conference,

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Speaker 1: there is civil unrest around Zootopia, with more predator animals

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Speaker 1: going wild and attacking prey animals wondering if they're safe.

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Speaker 1: There's protests. Also the Shakira as a gazelle. She's like

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Speaker 1: everyone everyone in Zootopia is a huge fan of Shakira.

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Speaker 1: Also that song the Slap. Though, to be fair, try

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Speaker 1: anything pretty good for me, and I'm a fan. I

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Speaker 1: don't dislike Shakire at all, but I just feel like

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Speaker 1: there's other pop stars there. I recently watched Don't Look Up,

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Speaker 1: which I also didn't really like very much, but Ariana

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Speaker 1: Grande fills a similar role in Sure and Don't Look

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Speaker 1: Up and the song and I was equally underwhelmed by

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Speaker 1: the song Sure. I quite liked don't look up. But

421
00:26:21,720 --> 00:26:25,800
Speaker 1: that's just me, you know. Anyways, So it wasn't shrekky

422
00:26:25,840 --> 00:26:29,280
Speaker 1: and enough. And also, as Matt pointed up, I saw

423
00:26:29,280 --> 00:26:31,920
Speaker 1: how was a Gucci twice, So we're just different people

424
00:26:31,960 --> 00:26:38,160
Speaker 1: at the end of the day. So Judy feels responsible

425
00:26:38,200 --> 00:26:41,520
Speaker 1: for this civil unrest and resigns from her cop job,

426
00:26:41,960 --> 00:26:45,600
Speaker 1: much to the disappointment of Bell Weather, who is now mayor.

427
00:26:46,040 --> 00:26:48,959
Speaker 1: So then Judy goes back home to become a carrot farmer.

428
00:26:49,280 --> 00:26:52,760
Speaker 1: But when she's there, she learns about these vegetables that,

429
00:26:53,359 --> 00:26:57,399
Speaker 1: when eaton, can make an animal wild and aggressive. And

430
00:26:57,560 --> 00:27:02,720
Speaker 1: guess what they're called night how Rulers. So it turns

431
00:27:02,720 --> 00:27:06,600
Speaker 1: out that's what Emmett Otterton was talking about. Also, her

432
00:27:06,640 --> 00:27:11,280
Speaker 1: bully owns a food truck now question Mark awesome, And

433
00:27:11,280 --> 00:27:16,920
Speaker 1: it's like the most aware, self aware bully you've ever

434
00:27:16,960 --> 00:27:20,199
Speaker 1: seen in a movie. He's been in therapy for. Oh,

435
00:27:20,359 --> 00:27:23,960
Speaker 1: this was one funny. Like one of the funnier flights

436
00:27:23,960 --> 00:27:27,040
Speaker 1: of logic of the movie is that all the animals

437
00:27:27,160 --> 00:27:31,720
Speaker 1: in the Zootopia expanded universe live human length lifespans. Because

438
00:27:31,720 --> 00:27:35,560
Speaker 1: at the beginning, it's like, you know, Judy is bullied

439
00:27:35,560 --> 00:27:38,879
Speaker 1: by a future food truck owner, and then it was

440
00:27:38,960 --> 00:27:41,960
Speaker 1: fifteen years later and it's like, oh, Judy is fully dead.

441
00:27:42,400 --> 00:27:46,840
Speaker 1: She's fifteen years later, you're telling me a twenty four

442
00:27:46,920 --> 00:27:51,520
Speaker 1: year old rabbit is good. Piss me off, didn't. I

443
00:27:51,600 --> 00:27:55,000
Speaker 1: was like, there's so many there's huge, high level issues

444
00:27:55,040 --> 00:27:58,800
Speaker 1: and then there's little things that it's like, come on, well,

445
00:27:58,840 --> 00:28:07,320
Speaker 1: you know, and you're disbelieve you're fair fair? What can

446
00:28:07,359 --> 00:28:10,480
Speaker 1: I say to that? Okay? So, so it turns out

447
00:28:10,560 --> 00:28:14,600
Speaker 1: these vegetables are what has been making the predators become violent.

448
00:28:14,800 --> 00:28:18,720
Speaker 1: So Judy rushes back to Zutopia. She tells Nick her

449
00:28:18,840 --> 00:28:22,560
Speaker 1: theory that someone is targeting predators on purpose and making

450
00:28:22,600 --> 00:28:25,560
Speaker 1: them go wild. So then Nick forgives her and the

451
00:28:25,640 --> 00:28:29,520
Speaker 1: team back up and find a lab where this ram

452
00:28:29,680 --> 00:28:37,639
Speaker 1: named doug Uh is like making a serum with the

453
00:28:37,800 --> 00:28:42,400
Speaker 1: nightholler vegetables that he's been shooting predators with. So that

454
00:28:42,480 --> 00:28:44,880
Speaker 1: grabbed the evidence and make their way to the police department.

455
00:28:44,960 --> 00:28:51,720
Speaker 1: Also really clunky breaking bad reference. So on the way

456
00:28:51,960 --> 00:28:56,960
Speaker 1: they run into Shrek that that is an attempt at

457
00:28:56,960 --> 00:28:59,040
Speaker 1: the Shreky end, but it's not where it doesn't quite

458
00:28:59,080 --> 00:29:01,800
Speaker 1: work the way this movie like in the way that

459
00:29:01,840 --> 00:29:03,840
Speaker 1: I was like, I know what you're talking about, but

460
00:29:04,000 --> 00:29:06,800
Speaker 1: unlike Shrek, it's making a reference and I'm not laughing.

461
00:29:08,840 --> 00:29:12,840
Speaker 1: It's just a reference for a reference to say. So.

462
00:29:13,000 --> 00:29:17,120
Speaker 1: On the way to the police department, they run into

463
00:29:17,200 --> 00:29:20,000
Speaker 1: Mayor bell Weather, who ends up being the bad guy

464
00:29:20,040 --> 00:29:24,080
Speaker 1: who was behind the whole thing. She tries to sabotage them,

465
00:29:24,320 --> 00:29:27,120
Speaker 1: and she shoots Nick with the serum so that he

466
00:29:27,160 --> 00:29:30,560
Speaker 1: will go wild and kill Judy. But Nick had loaded

467
00:29:30,600 --> 00:29:36,400
Speaker 1: the gun with blueberries, so it didn't work. Classic classic switcher.

468
00:29:37,240 --> 00:29:43,680
Speaker 1: How does this factory into Chekov's guns principle? There's Jason

469
00:29:43,680 --> 00:29:47,160
Speaker 1: Bavin has to load it with blueberries by the third

470
00:29:47,200 --> 00:29:51,480
Speaker 1: act or it shouldn't be there. Um okay. So, and

471
00:29:51,520 --> 00:29:55,120
Speaker 1: then they managed to get an audio recording on Judy's

472
00:29:55,400 --> 00:29:59,520
Speaker 1: little Carrot pen that is also a high quality voice

473
00:29:59,560 --> 00:30:05,600
Speaker 1: recorder um of bell Weather confessing to this whole conspiracy.

474
00:30:06,120 --> 00:30:09,360
Speaker 1: Bell Weather is arrested, Lion Heart is reinstated as mayor

475
00:30:09,760 --> 00:30:11,520
Speaker 1: I think, or maybe that doesn't happen. I don't know.

476
00:30:12,000 --> 00:30:16,400
Speaker 1: Um no, he's like also in trouble, right, yeah, yeah,

477
00:30:16,400 --> 00:30:20,360
Speaker 1: because he was complicit, but Judy is a hero. And

478
00:30:20,400 --> 00:30:24,800
Speaker 1: then Nick also becomes a cop slash Judy's cop partner,

479
00:30:25,680 --> 00:30:29,440
Speaker 1: and then the movie ends on another sloth joke. I

480
00:30:29,560 --> 00:30:31,440
Speaker 1: was blown away that it was like, it was like,

481
00:30:31,560 --> 00:30:34,440
Speaker 1: there's no he's he's good in that he's a cop

482
00:30:34,520 --> 00:30:36,959
Speaker 1: at the end, and they're like, and don't we love that?

483
00:30:37,040 --> 00:30:40,160
Speaker 1: And don't we love it? Let's take a quick break

484
00:30:40,240 --> 00:30:50,480
Speaker 1: and then we'll come right back to discuss back we're

485
00:30:50,520 --> 00:30:57,240
Speaker 1: back um with odds. Where should we begin here? I

486
00:30:57,280 --> 00:30:59,760
Speaker 1: think we we um. We gave a preview of some

487
00:30:59,800 --> 00:31:04,560
Speaker 1: of the mater issues, but there's we didn't even touch

488
00:31:04,600 --> 00:31:08,800
Speaker 1: on all of them. There's Joe Biden's America. I know

489
00:31:08,840 --> 00:31:13,000
Speaker 1: this movie came out in Obama's America, but this is

490
00:31:13,040 --> 00:31:16,760
Speaker 1: a Joe bidden and then yea all day Okay, so

491
00:31:16,960 --> 00:31:24,360
Speaker 1: what who is Jason Paymon Black? Like what's what the fuck? There?

492
00:31:26,160 --> 00:31:32,400
Speaker 1: Great questions questions? Okay, our foxes black? I know this

493
00:31:32,480 --> 00:31:35,480
Speaker 1: movie doesn't know, but what do you think they thought?

494
00:31:35,760 --> 00:31:37,880
Speaker 1: I think there's a lot of shrug and going on

495
00:31:38,240 --> 00:31:41,440
Speaker 1: between these couple of writers. I feel like the movie

496
00:31:41,480 --> 00:31:45,680
Speaker 1: gets so a lot like because when the movie starts,

497
00:31:45,920 --> 00:31:50,200
Speaker 1: I thought I was like, oh, bunnies are being presented

498
00:31:50,240 --> 00:31:54,400
Speaker 1: as a minority because they're like, well, bunnies don't become cops.

499
00:31:54,440 --> 00:31:58,200
Speaker 1: Bunnies can't do anything but be carrot farmers, and there's

500
00:31:58,240 --> 00:32:01,040
Speaker 1: no reference to like jener or anything like that. I

501
00:32:01,080 --> 00:32:03,320
Speaker 1: was like, Okay, so is that the allegory being set up?

502
00:32:03,480 --> 00:32:07,160
Speaker 1: But then it turns out no, that's not. And then

503
00:32:07,240 --> 00:32:09,800
Speaker 1: and then so it's like every new character I feel

504
00:32:09,880 --> 00:32:12,280
Speaker 1: contradicts the logic of what the movie has been saying

505
00:32:12,320 --> 00:32:17,680
Speaker 1: so far. I don't know, here was my best guests.

506
00:32:18,520 --> 00:32:22,000
Speaker 1: So I think that the movie is setting up a

507
00:32:22,200 --> 00:32:29,280
Speaker 1: parallel basically that predator animals are people of color and

508
00:32:29,960 --> 00:32:34,840
Speaker 1: prey animals are white people. There are a few hints

509
00:32:34,840 --> 00:32:38,719
Speaker 1: to this as far as like the ratio of like

510
00:32:39,120 --> 00:32:42,200
Speaker 1: prey to predator, but also that's not even reflective of

511
00:32:42,280 --> 00:32:45,840
Speaker 1: like a major metropolis, where like a lot of cities

512
00:32:45,880 --> 00:32:50,360
Speaker 1: are extremely ethnically diverse, So that doesn't even track right.

513
00:32:50,920 --> 00:32:53,920
Speaker 1: But then also, although I would say, you know the

514
00:32:54,000 --> 00:32:57,920
Speaker 1: piece where her parents are super afraid of letting her

515
00:32:57,960 --> 00:33:01,440
Speaker 1: go to the city, that's real, sure, you know, like

516
00:33:01,920 --> 00:33:04,840
Speaker 1: they're they're like, oh, there's all these predators there. Don't go,

517
00:33:04,960 --> 00:33:09,240
Speaker 1: you'll get mubbed or whatever. Right, I'm not saying that

518
00:33:09,320 --> 00:33:12,680
Speaker 1: was like a good point or anything. I just right.

519
00:33:13,360 --> 00:33:16,120
Speaker 1: There were like moments where I was like, Okay, I

520
00:33:16,120 --> 00:33:19,040
Speaker 1: think I understand what the movie is trying to do here,

521
00:33:19,440 --> 00:33:20,840
Speaker 1: and then there were other scenes where I was like,

522
00:33:20,960 --> 00:33:24,240
Speaker 1: I just don't know. I just like right, because it's

523
00:33:24,360 --> 00:33:28,440
Speaker 1: so muddled. The messaging in the allegories extremely muddled. And

524
00:33:28,440 --> 00:33:31,480
Speaker 1: you'll never guess why. It's because the people who made

525
00:33:31,480 --> 00:33:39,200
Speaker 1: this movie were a lot of white men. What I okay,

526
00:33:39,240 --> 00:33:43,160
Speaker 1: So here's a little here's some context corner. So and

527
00:33:43,200 --> 00:33:45,640
Speaker 1: I got a lot of this information from So. There

528
00:33:45,680 --> 00:33:47,960
Speaker 1: was a screening of the movie in and there was

529
00:33:48,000 --> 00:33:50,720
Speaker 1: a Q and a panel with several of the filmmakers

530
00:33:51,360 --> 00:33:54,680
Speaker 1: after the screening. So it was Jared Bush, Rich Moore

531
00:33:55,040 --> 00:33:58,320
Speaker 1: Byron Howard, who all directed the movie. I will say

532
00:33:58,440 --> 00:34:04,680
Speaker 1: Richmore is a great white guy name What's More Money Baby.

533
00:34:05,040 --> 00:34:08,400
Speaker 1: Jared Bush also co wrote the screenplay, and also present

534
00:34:08,440 --> 00:34:11,640
Speaker 1: at this panel was Phil Johnston, the other co writer

535
00:34:11,760 --> 00:34:14,880
Speaker 1: of the screenplay. The movie also has several story by credits.

536
00:34:15,480 --> 00:34:20,080
Speaker 1: Jared Busch is also credited on MO Wanna big here

537
00:34:20,160 --> 00:34:27,200
Speaker 1: for that guy? J I s Jared, I saw it.

538
00:34:27,360 --> 00:34:29,400
Speaker 1: We'll do an episode on it. We got to do

539
00:34:29,440 --> 00:34:34,320
Speaker 1: it with Melissa Right, Okay, so this panel got written

540
00:34:34,800 --> 00:34:37,279
Speaker 1: about in the rap, so here's where I'm getting a

541
00:34:37,320 --> 00:34:42,279
Speaker 1: lot of this information. So basically in this like right up,

542
00:34:42,960 --> 00:34:47,240
Speaker 1: the filmmakers are really patting themselves on the backs, being like, wow,

543
00:34:47,280 --> 00:34:50,800
Speaker 1: our intentions were like so honorable when we were making,

544
00:34:51,040 --> 00:34:54,319
Speaker 1: you know, developing this movie. We wanted to do a

545
00:34:54,400 --> 00:34:59,520
Speaker 1: movie with like an easily digestible allegory for racism, isn't

546
00:34:59,560 --> 00:35:02,480
Speaker 1: that And then they talked about like the research they did,

547
00:35:03,200 --> 00:35:05,839
Speaker 1: and they were like, yeah, yeah, yeah, this movie is

548
00:35:06,080 --> 00:35:09,640
Speaker 1: so prescient during this time of political unrest because it

549
00:35:09,680 --> 00:35:11,920
Speaker 1: was released during the time that was leading up to

550
00:35:11,920 --> 00:35:15,440
Speaker 1: the election. Uh. And they're like yeah, but you know,

551
00:35:15,560 --> 00:35:19,000
Speaker 1: we've just been paying attention to what's been happening, just

552
00:35:19,040 --> 00:35:23,799
Speaker 1: like not even reflective of the movie's production history even remotely. Yes,

553
00:35:23,960 --> 00:35:26,920
Speaker 1: because it was supposed to be a sixties heist movie,

554
00:35:27,160 --> 00:35:31,719
Speaker 1: like an espionage John Lasseter and you're just like I

555
00:35:31,920 --> 00:35:34,920
Speaker 1: was like, so okay, so yeah, the movie went through

556
00:35:34,960 --> 00:35:40,080
Speaker 1: several drafts and just like wild rewrites. So the filmmakers

557
00:35:40,080 --> 00:35:43,160
Speaker 1: they're talking about how relevant their movie is. Um, you

558
00:35:43,239 --> 00:35:47,279
Speaker 1: learn about the research they did, which was mostly on animals,

559
00:35:48,160 --> 00:35:52,840
Speaker 1: Uh at the Animal Kingdom. They didn't even They literally

560
00:35:52,840 --> 00:35:56,040
Speaker 1: are like, let's go to Disney's World. We can do

561
00:35:56,120 --> 00:35:58,600
Speaker 1: that for free, and let's just stare at Lemmings for

562
00:35:58,680 --> 00:36:02,120
Speaker 1: six days and be like, all write our movie about racism.

563
00:36:02,880 --> 00:36:06,400
Speaker 1: You're forgetting about the two weeks safari they went on

564
00:36:06,520 --> 00:36:10,759
Speaker 1: in Kenya where they studied animal behavior. Uh, they did

565
00:36:10,800 --> 00:36:14,719
Speaker 1: not seem to do nearly as much research on I

566
00:36:14,760 --> 00:36:18,319
Speaker 1: don't know, critical race theory or anything like that. It

567
00:36:18,320 --> 00:36:22,440
Speaker 1: seems as that they talked to exactly one person, Dr

568
00:36:22,800 --> 00:36:27,040
Speaker 1: Shockty Butler, who is a filmmaker and an educator on

569
00:36:27,160 --> 00:36:32,719
Speaker 1: racial diversity. Director Byron Howard said, quote, she taught us

570
00:36:32,760 --> 00:36:36,640
Speaker 1: everything there was to know about bias and discrimination things

571
00:36:36,680 --> 00:36:40,200
Speaker 1: we had no idea existed. End quote. So this is

572
00:36:40,760 --> 00:36:44,600
Speaker 1: the background, Like, this is the context that these filmmakers

573
00:36:44,600 --> 00:36:52,120
Speaker 1: had for trying to develop this allegory for racism, which

574
00:36:52,640 --> 00:36:57,120
Speaker 1: they did not execute well. Which is so clear based

575
00:36:57,160 --> 00:37:02,520
Speaker 1: on like the story team assembled is I believe five

576
00:37:02,680 --> 00:37:08,040
Speaker 1: white guys, uh and then um one white woman Jennifer

577
00:37:08,160 --> 00:37:13,240
Speaker 1: Lee who is the director of The Frozen from Chies,

578
00:37:14,000 --> 00:37:19,799
Speaker 1: and then one woman of collar Josie Trinidad, who is

579
00:37:20,200 --> 00:37:22,160
Speaker 1: currently and I think at the time of this movie's

580
00:37:22,200 --> 00:37:25,320
Speaker 1: release as well, was in charge of the Disney Animation

581
00:37:25,440 --> 00:37:29,160
Speaker 1: story team. So it's kind of unclear how much actual

582
00:37:29,480 --> 00:37:34,120
Speaker 1: story she wrote because her job is primarily translating script

583
00:37:34,239 --> 00:37:39,319
Speaker 1: to visuals um like storyboarding type stuff, right, right, and

584
00:37:39,360 --> 00:37:42,359
Speaker 1: that seems to be kind of her her primary job.

585
00:37:42,400 --> 00:37:45,200
Speaker 1: So it's like impossible to know who contributed what in

586
00:37:45,239 --> 00:37:49,560
Speaker 1: a team this big. But the team is vast majority

587
00:37:49,800 --> 00:37:53,359
Speaker 1: white guys, and then you know white people in general, right,

588
00:37:54,040 --> 00:37:59,719
Speaker 1: So they fumbled it in a number. So okay, this

589
00:37:59,800 --> 00:38:06,280
Speaker 1: movie we made a billion dollars. A billion dollars, that's

590
00:38:06,360 --> 00:38:12,480
Speaker 1: so many, but it still doesn't make sense. Who is Hops?

591
00:38:12,520 --> 00:38:14,879
Speaker 1: What's Hops? As deals supposed to be? Right, So we've

592
00:38:14,920 --> 00:38:18,080
Speaker 1: got this, like you were saying, Jamie, the movie is

593
00:38:18,080 --> 00:38:21,520
Speaker 1: setting up this like the idea that people are prejudiced

594
00:38:21,560 --> 00:38:26,279
Speaker 1: against rabbits and saying you can't be a can't be

595
00:38:26,400 --> 00:38:30,640
Speaker 1: cops Hops is a woman? That okay, so right, right,

596
00:38:30,640 --> 00:38:32,440
Speaker 1: But it's like if that's the case, they need to

597
00:38:32,480 --> 00:38:37,600
Speaker 1: make that clear because it's like not like bunnies covered

598
00:38:37,640 --> 00:38:40,840
Speaker 1: the gender spectrum, but they were just like no bunny

599
00:38:40,920 --> 00:38:46,319
Speaker 1: cops period, right, So that's confusing and right, So I

600
00:38:46,320 --> 00:38:50,359
Speaker 1: guess like in this movie, rabbits are women, because there's

601
00:38:50,440 --> 00:38:53,279
Speaker 1: there's a few other references to that too, where it's like, oh,

602
00:38:53,600 --> 00:38:58,280
Speaker 1: you rabbits, you're you're so emotional, and oh you throw

603
00:38:58,360 --> 00:39:02,080
Speaker 1: like a bunny, you're bad drivers, you throw like a bunny,

604
00:39:02,200 --> 00:39:05,040
Speaker 1: like all these things that are stereotypes about women. But

605
00:39:05,120 --> 00:39:10,319
Speaker 1: we know that all rabbits are not women because Dad

606
00:39:11,120 --> 00:39:15,799
Speaker 1: multiple occasions and the front desktop calls her cute, and

607
00:39:15,880 --> 00:39:18,520
Speaker 1: she says that only another bunny can call her cute. Okay,

608
00:39:18,600 --> 00:39:21,719
Speaker 1: So there's a bunch of like weird, very cringe e

609
00:39:22,040 --> 00:39:27,759
Speaker 1: jokes that are like specifically referencing either aspects of black

610
00:39:27,800 --> 00:39:32,279
Speaker 1: culture or stereotypes about black people, right, where it's like, oh,

611
00:39:32,440 --> 00:39:35,879
Speaker 1: a bunny can call another bunny cute, right, that makes

612
00:39:35,880 --> 00:39:40,680
Speaker 1: no sense, But if she's who we think she is, right,

613
00:39:40,840 --> 00:39:47,560
Speaker 1: Jennifer Goodwin. And then there's another scene where Nick is

614
00:39:47,640 --> 00:39:52,200
Speaker 1: touching bell Weather's wool on her head and she's like,

615
00:39:52,280 --> 00:39:56,279
Speaker 1: you can't touch a sheep's wool, which is like, I

616
00:39:56,320 --> 00:39:59,359
Speaker 1: guess analogous to you, you can't touch a black woman's hair.

617
00:40:00,040 --> 00:40:03,600
Speaker 1: So this sheep with her wolf. So there's that thing

618
00:40:03,680 --> 00:40:08,239
Speaker 1: that doesn't make sense, but it's Jenny's Jenny's light has

619
00:40:08,239 --> 00:40:12,960
Speaker 1: been in this pickle a couple of different times. And

620
00:40:13,000 --> 00:40:17,160
Speaker 1: then there's another scene where shortly after Judy meets Nick

621
00:40:17,440 --> 00:40:21,359
Speaker 1: in like the popsicle place, she's like, Oh wow, you're

622
00:40:21,480 --> 00:40:32,359
Speaker 1: so articulate, but it's Jason Bates. It's pretty articulate, actually, right.

623
00:40:32,440 --> 00:40:36,520
Speaker 1: The metaphor is so messy, where sometimes it's a metaphor

624
00:40:36,560 --> 00:40:40,400
Speaker 1: about discrimination that women face, but we only see that

625
00:40:40,480 --> 00:40:44,640
Speaker 1: with one character in Judy hops and she's a prey animal,

626
00:40:45,239 --> 00:40:47,479
Speaker 1: and then the rest of the metaphor is about race

627
00:40:47,640 --> 00:40:51,840
Speaker 1: rather than gender. But sometimes references to people of color

628
00:40:51,920 --> 00:40:55,680
Speaker 1: are attributed to prey animals when the larger allegory is

629
00:40:55,719 --> 00:41:00,320
Speaker 1: that predator animals are the allegorical people of color. Christian

630
00:41:00,400 --> 00:41:06,280
Speaker 1: Mark like, it's so messy, and like, I understand that movies,

631
00:41:06,640 --> 00:41:09,000
Speaker 1: especially when it's like directed towards children, if they're trying

632
00:41:09,040 --> 00:41:13,319
Speaker 1: to tackle a complex issue, like a complex allegory, they

633
00:41:13,360 --> 00:41:16,719
Speaker 1: will simplify things and the interest of like making it

634
00:41:16,760 --> 00:41:21,480
Speaker 1: digestible for a younger audience. But there's also a responsibility

635
00:41:21,560 --> 00:41:26,640
Speaker 1: to make that allegory clear and make sure it makes

636
00:41:26,800 --> 00:41:30,360
Speaker 1: sense and that it tracks, and the movie like again,

637
00:41:30,400 --> 00:41:34,120
Speaker 1: just fumbles it and every step of the way. I

638
00:41:34,200 --> 00:41:37,520
Speaker 1: also feel like that not to bring Shreky and back.

639
00:41:38,440 --> 00:41:42,160
Speaker 1: But if you are, like, it's clear that like Disney

640
00:41:42,239 --> 00:41:44,279
Speaker 1: at this point, this is true of all Disney movies.

641
00:41:44,280 --> 00:41:46,759
Speaker 1: They're very self referential and they make it clear that's like,

642
00:41:46,800 --> 00:41:48,840
Speaker 1: we know that adults are watching this too, and we

643
00:41:48,880 --> 00:41:51,640
Speaker 1: want to give you something to enjoy too. So it's like,

644
00:41:51,920 --> 00:41:55,399
Speaker 1: if that's true, then you need to really think through

645
00:41:55,440 --> 00:41:57,640
Speaker 1: the entire metaphor. You can't just like throw in a

646
00:41:57,680 --> 00:42:00,600
Speaker 1: couple of song references and be like it's for grown

647
00:42:00,680 --> 00:42:05,320
Speaker 1: ups too. It's like the right And then another reason

648
00:42:05,719 --> 00:42:10,759
Speaker 1: that this whole metaphor doesn't track is the copaganda thing,

649
00:42:11,760 --> 00:42:15,560
Speaker 1: where the irony of a movie that is trying to

650
00:42:15,600 --> 00:42:19,640
Speaker 1: make a statement about racial prejudice that also centers a

651
00:42:19,719 --> 00:42:22,279
Speaker 1: character who is like this hero cop and in a

652
00:42:22,360 --> 00:42:25,840
Speaker 1: movie that seems to have like a very pro cop agenda,

653
00:42:26,920 --> 00:42:30,279
Speaker 1: keep saying like, wow, cops are awesome. We need them

654
00:42:30,280 --> 00:42:33,719
Speaker 1: to make our community safe. They help make society a

655
00:42:33,719 --> 00:42:37,840
Speaker 1: better place, when in the real world, like law enforcement

656
00:42:37,880 --> 00:42:40,480
Speaker 1: is an institution that was founded on and is one

657
00:42:40,480 --> 00:42:45,319
Speaker 1: of the biggest enforcers of racial prejudice, which renders the

658
00:42:45,400 --> 00:42:49,319
Speaker 1: allegory of this movie a complete paradox. Like it just

659
00:42:50,200 --> 00:42:54,600
Speaker 1: it ends the movie ends with both, Like the movie

660
00:42:55,560 --> 00:42:59,160
Speaker 1: begins with neither of our protagonists being cops and ends

661
00:42:59,239 --> 00:43:02,920
Speaker 1: optimistically with both of them being cops. They should have

662
00:43:02,960 --> 00:43:04,480
Speaker 1: ended the movie at the end of act two where

663
00:43:04,520 --> 00:43:07,919
Speaker 1: she she stops being a cop. That was the best

664
00:43:07,960 --> 00:43:09,799
Speaker 1: part of the movie. Well that was the second best

665
00:43:09,800 --> 00:43:11,879
Speaker 1: part of the way. I'll get to the best part, okay,

666
00:43:12,200 --> 00:43:15,719
Speaker 1: but yeah, I was like, hell, yeah, go off like

667
00:43:15,800 --> 00:43:20,000
Speaker 1: a back tops, be a farmer, you know, just like

668
00:43:20,040 --> 00:43:24,439
Speaker 1: work the land, or be something else, like they keep

669
00:43:24,600 --> 00:43:26,960
Speaker 1: That's why it's like, I mean, even the opening sequence

670
00:43:26,960 --> 00:43:29,160
Speaker 1: of the movie, they're like, anyone could be anything, and

671
00:43:29,160 --> 00:43:32,680
Speaker 1: then they come up with like accountant and cops, like

672
00:43:32,800 --> 00:43:37,359
Speaker 1: there's yeah, the jaguars, Like I want to be an actuary.

673
00:43:37,400 --> 00:43:39,880
Speaker 1: I don't even know what that is, and I didn't

674
00:43:39,880 --> 00:43:43,320
Speaker 1: bother looking it up. I don't know. It sounds boring.

675
00:43:44,160 --> 00:43:48,919
Speaker 1: Dream Baker kids like do and and yeah, I mean

676
00:43:48,920 --> 00:43:52,040
Speaker 1: that's of the many things that gets muddled here. It's like,

677
00:43:52,800 --> 00:43:55,319
Speaker 1: I don't know, I mean, in a movie, even in

678
00:43:55,800 --> 00:43:59,400
Speaker 1: sixteen it is a very bizarre specific route to choose

679
00:43:59,800 --> 00:44:02,360
Speaker 1: be being a cop, and then kind of like doubling

680
00:44:02,440 --> 00:44:04,799
Speaker 1: down on that by I mean, in my head, I'm like,

681
00:44:04,840 --> 00:44:08,160
Speaker 1: this is a girl boss logic firing on all cylinders,

682
00:44:08,160 --> 00:44:10,719
Speaker 1: where you know, her parents are like, it's great to

683
00:44:10,760 --> 00:44:14,120
Speaker 1: have dreams, but don't don't dream too big. You don't

684
00:44:14,160 --> 00:44:16,400
Speaker 1: want to dream out of your pay grade kind of thing,

685
00:44:16,480 --> 00:44:18,520
Speaker 1: which is something you see It happened very often at

686
00:44:18,520 --> 00:44:22,040
Speaker 1: the beginning of uh story where a woman is told,

687
00:44:22,080 --> 00:44:25,719
Speaker 1: you know, this isn't your place, and then Drew Barrymore

688
00:44:25,760 --> 00:44:29,200
Speaker 1: does whatever, and then the movie's over, and that's very

689
00:44:29,200 --> 00:44:32,719
Speaker 1: clearly what's being set up here. But her dream sucks,

690
00:44:32,960 --> 00:44:36,640
Speaker 1: and so you're sort of like, well, maybe your parents

691
00:44:36,640 --> 00:44:39,000
Speaker 1: are right. Yeah, okay, so let's let's just say that

692
00:44:39,080 --> 00:44:43,480
Speaker 1: she is like the girl boss white woman. On top

693
00:44:43,520 --> 00:44:46,480
Speaker 1: of that, she fucking sucks, like she's a piece of ship.

694
00:44:47,160 --> 00:44:50,400
Speaker 1: Yeah okay, So what do you what do you both

695
00:44:50,440 --> 00:44:54,239
Speaker 1: think is the movie saying that? Okay, because she has

696
00:44:54,239 --> 00:44:57,800
Speaker 1: this idea of like, her idea of being a cop

697
00:44:58,160 --> 00:45:01,200
Speaker 1: has nothing to do with like helping people. It's it's

698
00:45:01,280 --> 00:45:04,080
Speaker 1: like she says it does, but it does she ever

699
00:45:04,120 --> 00:45:06,200
Speaker 1: say that yeah, because she says, I want to make

700
00:45:06,200 --> 00:45:10,000
Speaker 1: the world a better place by being a copy Yeah,

701
00:45:10,200 --> 00:45:13,560
Speaker 1: but her actions do not reflect that. Right. She wants

702
00:45:13,560 --> 00:45:18,000
Speaker 1: to like cough bad guys basically, and so she gets

703
00:45:18,200 --> 00:45:22,480
Speaker 1: caught up by Gideon as a kid, and that gets

704
00:45:22,480 --> 00:45:27,320
Speaker 1: like linked to her dream of being a cop, right yeah,

705
00:45:27,440 --> 00:45:31,359
Speaker 1: and her you know, punitive ideas of justice and like

706
00:45:31,560 --> 00:45:34,840
Speaker 1: you know, tracking people down and like you know, hunting Weaselton,

707
00:45:35,000 --> 00:45:37,040
Speaker 1: who I'll get to in a bit. Weaselton's the ship

708
00:45:38,880 --> 00:45:41,440
Speaker 1: the dopest character in this movie, Weaselton, who I was like,

709
00:45:41,600 --> 00:45:44,160
Speaker 1: that sounds a lot like Steve bush Emy, but it's

710
00:45:44,360 --> 00:45:51,960
Speaker 1: not doing impression. Totally didn't it. So I don't know

711
00:45:52,000 --> 00:45:53,440
Speaker 1: what they're trying to say. They're trying to say that

712
00:45:53,440 --> 00:45:58,440
Speaker 1: Foxes are bad, so that's why she's gonna stop them,

713
00:45:58,600 --> 00:46:02,040
Speaker 1: or she's trauma ties by a fox and so now

714
00:46:02,560 --> 00:46:07,680
Speaker 1: she holds an unfair prejudice against Foxes. It maybe both

715
00:46:07,719 --> 00:46:10,040
Speaker 1: because she wants to be a cop prior to that,

716
00:46:10,080 --> 00:46:13,600
Speaker 1: but like that moment where she stops the bully and

717
00:46:13,600 --> 00:46:16,640
Speaker 1: then he specifically says you'll never be You'll never be,

718
00:46:16,960 --> 00:46:19,560
Speaker 1: and it's like it's like, Okay, I'm rooting for him,

719
00:46:19,760 --> 00:46:28,000
Speaker 1: like love the pies, like really good good stuff there.

720
00:46:28,040 --> 00:46:31,440
Speaker 1: I like, it's so I don't know. This movie like

721
00:46:31,560 --> 00:46:33,640
Speaker 1: really reads to me, like this movie went through five

722
00:46:33,719 --> 00:46:38,440
Speaker 1: million drafts because it was like her character like regresses

723
00:46:39,000 --> 00:46:43,920
Speaker 1: throughout the movie. Because before she leaves for cop Academy,

724
00:46:44,719 --> 00:46:48,160
Speaker 1: she you know, her parents are being prejudiced towards foxes

725
00:46:48,160 --> 00:46:49,920
Speaker 1: and here like you know, you gotta be carefully. Here

726
00:46:50,000 --> 00:46:52,680
Speaker 1: is repellent. And then she says, well, I was bullied

727
00:46:52,719 --> 00:46:55,560
Speaker 1: by a fox, but it was a mean person who

728
00:46:55,640 --> 00:47:00,600
Speaker 1: happened to be a fox. And then rabbits are jerks too, Yeah,

729
00:47:00,719 --> 00:47:03,920
Speaker 1: like anyone can be an asshole, and you're like, okay,

730
00:47:03,960 --> 00:47:06,080
Speaker 1: like Children's movie, I see where this is going. But

731
00:47:06,120 --> 00:47:09,120
Speaker 1: then like later in the movie, she I mean, I

732
00:47:09,120 --> 00:47:11,719
Speaker 1: guess this is maybe reflective of reality. Becoming a cop

733
00:47:12,040 --> 00:47:17,799
Speaker 1: sets her views backwards. Yeah, and she becomes more prejudice

734
00:47:18,440 --> 00:47:21,319
Speaker 1: as the movie goes on, right to the point where

735
00:47:21,360 --> 00:47:25,080
Speaker 1: she almost fox mess Jason Bateman, who's a black guy.

736
00:47:25,239 --> 00:47:30,759
Speaker 1: But she looks to constantly reorient your brain of like right,

737
00:47:33,239 --> 00:47:38,040
Speaker 1: saying right, I don't know, very stressful, right, She like really,

738
00:47:38,160 --> 00:47:42,160
Speaker 1: even after she's become friends with this fox, who she

739
00:47:42,280 --> 00:47:46,399
Speaker 1: again had this like prejudice against up until this part

740
00:47:46,400 --> 00:47:48,799
Speaker 1: of the story, and he had shared with her this

741
00:47:49,000 --> 00:47:53,040
Speaker 1: like very traumatic story, which is like that part of

742
00:47:53,080 --> 00:47:55,960
Speaker 1: the movie like does move me to tears where there's

743
00:47:55,960 --> 00:47:59,480
Speaker 1: a flashback where he's like, I wanted to join the

744
00:47:59,560 --> 00:48:03,480
Speaker 1: Junior Rangers and but I was the only predator and

745
00:48:03,560 --> 00:48:05,359
Speaker 1: I thought I was going to be welcome, but then

746
00:48:05,960 --> 00:48:09,080
Speaker 1: I got harassed and assaulted by who I thought were

747
00:48:09,120 --> 00:48:11,680
Speaker 1: my friends, and they put a muzzle on me. And

748
00:48:11,760 --> 00:48:15,640
Speaker 1: I learned to accept who I am and if if

749
00:48:15,640 --> 00:48:18,680
Speaker 1: everyone's just going to see me as a sly, sneaky

750
00:48:18,680 --> 00:48:22,160
Speaker 1: little fox, well then that's who I'm gonna be. And

751
00:48:22,320 --> 00:48:25,600
Speaker 1: he like tells her this story and like it opens

752
00:48:25,719 --> 00:48:29,560
Speaker 1: up and she's like, oh my gosh, that's awful, and

753
00:48:29,600 --> 00:48:35,959
Speaker 1: then she becomes like at a press conference, she's like, yeah,

754
00:48:36,000 --> 00:48:43,359
Speaker 1: well spouting eugenics like she's it's so wild, right, So,

755
00:48:43,440 --> 00:48:47,400
Speaker 1: like that scene is like bizarre because the movie is

756
00:48:47,440 --> 00:48:53,000
Speaker 1: suggesting that racism is the result of a press conference

757
00:48:53,120 --> 00:48:59,239
Speaker 1: from one rabbit and also like one sheep's actions of

758
00:48:59,400 --> 00:49:06,560
Speaker 1: shooting blueberry looking paintballs at animals and not like systemic,

759
00:49:07,000 --> 00:49:10,960
Speaker 1: like a systemic widespread problem. Yeah, I mean it's like

760
00:49:11,000 --> 00:49:16,840
Speaker 1: this movie is like really determination to not interrogate systemic

761
00:49:16,920 --> 00:49:19,160
Speaker 1: anything is kind of like I mean, but they kind

762
00:49:19,160 --> 00:49:21,520
Speaker 1: of do with the mayor's office, but for some reason,

763
00:49:21,600 --> 00:49:25,680
Speaker 1: like they're willing to go for it there right, but nowhere,

764
00:49:25,719 --> 00:49:29,000
Speaker 1: not in like right, not in law enforcement, but in

765
00:49:29,080 --> 00:49:33,879
Speaker 1: within this allegory. What is Jenny Slate's end game so

766
00:49:34,760 --> 00:49:38,600
Speaker 1: to like what what is also like Otter Tens a predator,

767
00:49:38,880 --> 00:49:43,120
Speaker 1: He's like smaller than the right, so like what's the

768
00:49:43,440 --> 00:49:45,920
Speaker 1: what the fuck? It's so I mean, I feel like

769
00:49:46,160 --> 00:49:48,760
Speaker 1: one of the And this is not a new point.

770
00:49:48,760 --> 00:49:51,120
Speaker 1: This point has been made about Utopia many times, and

771
00:49:51,160 --> 00:49:54,759
Speaker 1: I know that we have a famous tweet from a

772
00:49:54,840 --> 00:49:57,600
Speaker 1: friend of the show, Kate Young, about this. But the

773
00:49:58,239 --> 00:50:01,480
Speaker 1: huge issue, like one of the huge issues is like

774
00:50:02,239 --> 00:50:05,360
Speaker 1: implying that like in this world there are predators in

775
00:50:05,440 --> 00:50:12,319
Speaker 1: prey and conflating minorities with predators that have been integrated

776
00:50:12,320 --> 00:50:17,200
Speaker 1: into society like plays into so many super predator right,

777
00:50:17,320 --> 00:50:19,280
Speaker 1: like how how did they? I mean, this is classic

778
00:50:19,280 --> 00:50:23,000
Speaker 1: five white dudes in a room like uh, this is

779
00:50:22,719 --> 00:50:26,520
Speaker 1: the fucking Hillary Clinton c SPAN press conference where she's

780
00:50:26,560 --> 00:50:31,680
Speaker 1: like super predators are like mindless killing machines. These black

781
00:50:31,680 --> 00:50:35,479
Speaker 1: teens are like mindless killing machines or whatever. M fucking

782
00:50:35,560 --> 00:50:40,080
Speaker 1: Hillary Clinton, um, girl boss. And so then the whole,

783
00:50:40,120 --> 00:50:42,160
Speaker 1: the entire conceit of the movie is set up between

784
00:50:42,200 --> 00:50:46,080
Speaker 1: predators and prey like you're already like on fucking third

785
00:50:46,120 --> 00:50:50,200
Speaker 1: real city. They're like, you know, and and that's like

786
00:50:50,239 --> 00:50:51,759
Speaker 1: one of the many. I mean, I think it's like

787
00:50:52,120 --> 00:50:54,520
Speaker 1: maybe them. It's hard to say what about this movie

788
00:50:54,560 --> 00:50:58,040
Speaker 1: is the most egregious, but like that, like taking that

789
00:50:58,120 --> 00:51:01,160
Speaker 1: logic and then making it can likely true in this

790
00:51:01,200 --> 00:51:06,360
Speaker 1: world is so fucked Like, yeah, the I wanna so

791
00:51:06,719 --> 00:51:11,440
Speaker 1: the tweet you're referring to, So Christina Holland at American Wombat,

792
00:51:11,560 --> 00:51:14,879
Speaker 1: which is an amazing handle, tweeted a couple of years ago.

793
00:51:15,320 --> 00:51:18,560
Speaker 1: I think a big problem with kids allegories for racism

794
00:51:18,800 --> 00:51:22,000
Speaker 1: is it's like the Green people and the purple people

795
00:51:22,160 --> 00:51:26,080
Speaker 1: hated each other just for being the other color. Isn't

796
00:51:26,120 --> 00:51:30,239
Speaker 1: that silly? And not the purple people kidnapped the green

797
00:51:30,280 --> 00:51:33,480
Speaker 1: people and treated them like livestock for hundreds of years.

798
00:51:34,040 --> 00:51:36,080
Speaker 1: So that's the original tweet. And then friend of the

799
00:51:36,080 --> 00:51:39,280
Speaker 1: show Kate Young quote tweeted it and then just said

800
00:51:39,640 --> 00:51:44,160
Speaker 1: glares at Zootopia, which is like very much the problem

801
00:51:44,360 --> 00:51:51,040
Speaker 1: with this movie. It's ignoring the coherent enough to be

802
00:51:51,120 --> 00:51:56,919
Speaker 1: guilty and bad. It's missing so many points. But like right,

803
00:51:57,080 --> 00:51:59,360
Speaker 1: but I mean shout out to Kay. Yes, yeah, this

804
00:51:59,440 --> 00:52:03,440
Speaker 1: movie is like incoherent in such a frustrating way. But

805
00:52:03,560 --> 00:52:08,480
Speaker 1: like casting like the white coated animals question mark, because

806
00:52:08,520 --> 00:52:11,640
Speaker 1: that fluctuates throughout the movie wildly, but like I think

807
00:52:11,719 --> 00:52:13,960
Speaker 1: ultimately who we are supposed to believe for the white

808
00:52:14,000 --> 00:52:20,040
Speaker 1: coated animals as prey is like well, no, like it's

809
00:52:20,120 --> 00:52:23,840
Speaker 1: just I mean we should say that Jason Bateman's partner

810
00:52:23,840 --> 00:52:26,640
Speaker 1: in crime, he's like the blackest dude I can think of.

811
00:52:26,719 --> 00:52:30,360
Speaker 1: It's it's tiny Lester, who is like Debot from Friday,

812
00:52:30,480 --> 00:52:33,720
Speaker 1: and you know, he's like the big, bald, scary dude.

813
00:52:34,160 --> 00:52:36,520
Speaker 1: He was a very deep voice and in the movie

814
00:52:36,719 --> 00:52:40,000
Speaker 1: he's the tiny little fox with big ears or I

815
00:52:40,000 --> 00:52:43,040
Speaker 1: don't even know what kind of animal that is. But

816
00:52:43,160 --> 00:52:47,799
Speaker 1: he's like pretending to be Jason Bateman's character's son when

817
00:52:47,880 --> 00:52:51,359
Speaker 1: they do their whole like scam scam. He rules too,

818
00:52:51,360 --> 00:52:54,080
Speaker 1: because the second he the second the cop comes around,

819
00:52:54,120 --> 00:52:56,719
Speaker 1: he's like not fucking with her, and then when Bateman

820
00:52:57,080 --> 00:52:59,600
Speaker 1: decides to help the cop, he's like, I'm not fucking

821
00:52:59,600 --> 00:53:06,920
Speaker 1: with you. The movie him. Weaselton was like, oh, so

822
00:53:06,960 --> 00:53:10,080
Speaker 1: now you're helping a cop. That's why we okay. Weaselton

823
00:53:10,160 --> 00:53:12,400
Speaker 1: rules because he calls that out off the rip. And

824
00:53:12,440 --> 00:53:17,000
Speaker 1: then later when he gets like Mr Big is like

825
00:53:17,000 --> 00:53:19,040
Speaker 1: going to kill him, he's like dangling him above like

826
00:53:19,080 --> 00:53:22,279
Speaker 1: an ice pit. And Weaselton's still like, buck you for

827
00:53:22,400 --> 00:53:24,759
Speaker 1: hanging out with cops, like, I would never fucking I

828
00:53:24,760 --> 00:53:26,719
Speaker 1: would never funk with the fun with cops, Like he's

829
00:53:26,760 --> 00:53:29,160
Speaker 1: just down to die for the coups, Like Weaselton's the

830
00:53:29,200 --> 00:53:33,360
Speaker 1: hardest due in this movie. He's also selling an array

831
00:53:33,560 --> 00:53:39,920
Speaker 1: of DVDs that are referencecing shreking references to other Disney

832
00:53:39,920 --> 00:53:41,800
Speaker 1: movies that we're coming out around this time, such a

833
00:53:41,920 --> 00:53:44,279
Speaker 1: but they're all like the animal versions of it. My

834
00:53:44,320 --> 00:53:49,239
Speaker 1: favorite one is obviously Meajuana, so it's Mowanna as a cat.

835
00:53:51,280 --> 00:53:53,480
Speaker 1: I like this part, so that's the best part of

836
00:53:53,480 --> 00:53:56,960
Speaker 1: the movie. Perhaps his iPad was tight to that was

837
00:53:57,040 --> 00:54:02,680
Speaker 1: some cold design animal bands stuff. Yeah, but um, let's

838
00:54:02,920 --> 00:54:04,400
Speaker 1: you know what, Let's take a quick break and then

839
00:54:04,400 --> 00:54:15,839
Speaker 1: we'll come back. God all right, we're back. Now where

840
00:54:15,840 --> 00:54:18,920
Speaker 1: do we go? So, there's there's so many places we

841
00:54:18,960 --> 00:54:21,000
Speaker 1: could go. Here's where I would like to go next.

842
00:54:21,320 --> 00:54:28,280
Speaker 1: So the movie repeatedly uses a word that is a slur.

843
00:54:28,600 --> 00:54:31,720
Speaker 1: I will use the word to identify it. The word

844
00:54:31,840 --> 00:54:36,200
Speaker 1: is savage. Again. The movie uses it repeatedly to refer

845
00:54:36,280 --> 00:54:38,680
Speaker 1: to the animals who have gone wild and have become

846
00:54:38,840 --> 00:54:44,200
Speaker 1: violent and attacked. So, uh, this word is a very

847
00:54:44,239 --> 00:54:49,640
Speaker 1: offensive slur toward indigenous people in particular, I will say,

848
00:54:49,680 --> 00:54:52,600
Speaker 1: I guess in the movie's defense, the conversation around this

849
00:54:52,640 --> 00:54:55,960
Speaker 1: word being a slur was not a very mainstream conversation

850
00:54:56,000 --> 00:54:59,280
Speaker 1: at the time of this movie is like making and release.

851
00:54:59,520 --> 00:55:01,719
Speaker 1: It's been in kind of like more recent years that

852
00:55:01,800 --> 00:55:07,799
Speaker 1: this conversation has been brought to the forefront of cultural consciousness.

853
00:55:08,640 --> 00:55:11,960
Speaker 1: But even so, one of the many elements of this

854
00:55:12,000 --> 00:55:17,400
Speaker 1: movie that aged extraordinarily poorly five years right, um. I

855
00:55:17,480 --> 00:55:20,600
Speaker 1: asked a friend of the cast, Jess Merwin, their thoughts

856
00:55:20,719 --> 00:55:23,319
Speaker 1: on the use of this word in the context of

857
00:55:23,320 --> 00:55:26,200
Speaker 1: the movie. I said, you know, is it still offensive

858
00:55:26,200 --> 00:55:28,480
Speaker 1: in the context that it is being used in this movie?

859
00:55:28,600 --> 00:55:30,919
Speaker 1: Or is it just a word that should be eliminated

860
00:55:31,000 --> 00:55:35,160
Speaker 1: from our vocabularies entirely. And this is what just had

861
00:55:35,200 --> 00:55:41,200
Speaker 1: to say. Within Western culture, the concept of savage exists

862
00:55:41,239 --> 00:55:45,040
Speaker 1: in a binary with the concept of civilized, the idea

863
00:55:45,080 --> 00:55:49,200
Speaker 1: of one cannot exist without the other in opposition. Even

864
00:55:49,200 --> 00:55:51,359
Speaker 1: though in the film the word isn't being applied to

865
00:55:51,520 --> 00:55:55,040
Speaker 1: human beings, this binary still presents itself in the behavior

866
00:55:55,080 --> 00:55:58,520
Speaker 1: of the animals being labeled savage. They are violent, they

867
00:55:58,520 --> 00:56:04,319
Speaker 1: are volatile, they are quote other. When we associate violence, volatility,

868
00:56:04,560 --> 00:56:09,560
Speaker 1: being uncontrollable, being other with the word savage, we perpetuate

869
00:56:09,600 --> 00:56:12,399
Speaker 1: the harm that the word was intended to do when

870
00:56:12,400 --> 00:56:17,840
Speaker 1: it was applied to black and indigenous people. So basically,

871
00:56:18,239 --> 00:56:22,680
Speaker 1: for any listeners or anyone who's just not aware this word,

872
00:56:23,560 --> 00:56:26,920
Speaker 1: don't use it. Thank you, j Yes, thank you so

873
00:56:27,000 --> 00:56:31,879
Speaker 1: much Jess for your time and thoughts. So but yeah,

874
00:56:31,920 --> 00:56:34,720
Speaker 1: I was counting. The word gets used in the movie

875
00:56:35,400 --> 00:56:39,560
Speaker 1: no less than a dozen times, possibly more, just like constantly,

876
00:56:39,640 --> 00:56:43,359
Speaker 1: especially like after the halfway mark, which and and it's

877
00:56:43,400 --> 00:56:47,120
Speaker 1: the way it's used is to kind of reinforce this

878
00:56:47,440 --> 00:56:53,000
Speaker 1: gigantic failed metaphor. That is, like the word is used

879
00:56:53,040 --> 00:56:58,400
Speaker 1: to apply to predators, which again is like a hillary

880
00:56:58,440 --> 00:57:05,359
Speaker 1: the Hillary Clinton. It's infuriating and and I wanted to

881
00:57:05,719 --> 00:57:07,799
Speaker 1: get into that part two. I don't know, just like

882
00:57:07,840 --> 00:57:10,440
Speaker 1: as this movie was going on, there just more and

883
00:57:10,719 --> 00:57:14,560
Speaker 1: they were I feel like every time one metaphor would

884
00:57:14,600 --> 00:57:17,600
Speaker 1: kind of sputter and fail, they would start another one,

885
00:57:18,840 --> 00:57:22,240
Speaker 1: and that one would also be really poorly realized and

886
00:57:22,640 --> 00:57:26,480
Speaker 1: not good. The last big set piece of the movie

887
00:57:26,520 --> 00:57:31,680
Speaker 1: that's trying to comment on something unclear is the what

888
00:57:31,880 --> 00:57:37,400
Speaker 1: is it that howling the night howers right where they're implying,

889
00:57:37,760 --> 00:57:41,080
Speaker 1: you know, it's And there was a lot written about this,

890
00:57:41,360 --> 00:57:43,280
Speaker 1: like not right when the movie came out, but like

891
00:57:43,320 --> 00:57:46,200
Speaker 1: for some reason and eighteen I think people rewatch this

892
00:57:46,240 --> 00:57:48,080
Speaker 1: movie and they were like, now, hold on a second.

893
00:57:48,760 --> 00:57:53,960
Speaker 1: Is Utopia trying to comment on the drug epidemic in

894
00:57:54,280 --> 00:57:59,560
Speaker 1: the US? I'dn't even consider that. Uh well, the arguments

895
00:57:59,760 --> 00:58:06,440
Speaker 1: for that include the including this like very throwaway goofy

896
00:58:06,680 --> 00:58:11,400
Speaker 1: breaking bad reference and like basically implying that the government

897
00:58:11,640 --> 00:58:18,360
Speaker 1: is bringing drugs into quote unquote predator neighborhoods and turning

898
00:58:18,400 --> 00:58:22,480
Speaker 1: them into like, uh, I don't I don't know what

899
00:58:22,680 --> 00:58:25,600
Speaker 1: to but you know what I mean? Like, and so

900
00:58:25,640 --> 00:58:27,920
Speaker 1: I think that in the third act of this movie,

901
00:58:28,000 --> 00:58:32,520
Speaker 1: they're trying to like comment on the crack epidemic and like,

902
00:58:33,120 --> 00:58:36,640
Speaker 1: but again it's so poorly realized and so like in

903
00:58:36,680 --> 00:58:40,040
Speaker 1: this movie, like last minute like that, you're just it's like,

904
00:58:40,240 --> 00:58:44,760
Speaker 1: what are you doing, guys, Like execute one thing correctly,

905
00:58:45,160 --> 00:58:49,160
Speaker 1: like truly one thing. They simply can't. Wow, Yeah, that

906
00:58:49,400 --> 00:58:54,760
Speaker 1: doesn't occur to me either. It's now that you bring

907
00:58:54,800 --> 00:58:58,960
Speaker 1: it up, it is very wild. This is from it

908
00:58:59,080 --> 00:59:02,200
Speaker 1: was like referenced in a review of this movie from

909
00:59:02,320 --> 00:59:04,880
Speaker 1: Birth Movies Death Um that did come out at the

910
00:59:04,920 --> 00:59:07,840
Speaker 1: time that the movie came out, but yeah, just sort

911
00:59:07,880 --> 00:59:11,320
Speaker 1: of reference that. It's like it appears that like, yeah,

912
00:59:11,360 --> 00:59:14,760
Speaker 1: the government is bringing drugs into certain neighborhoods and then

913
00:59:15,120 --> 00:59:20,240
Speaker 1: you know, using the media to inspire fear and hatred

914
00:59:20,280 --> 00:59:24,040
Speaker 1: among everyone else, like in the quote unquote in Utopia,

915
00:59:24,080 --> 00:59:27,760
Speaker 1: World Prey. This movie is so funny and then like

916
00:59:29,320 --> 00:59:33,120
Speaker 1: and on top of that, the depiction of media in

917
00:59:33,160 --> 00:59:36,000
Speaker 1: this movie I also found to be very bizarre. Where

918
00:59:36,560 --> 00:59:40,360
Speaker 1: media is obviously very very up for criticism, but the

919
00:59:40,400 --> 00:59:44,960
Speaker 1: way it's used here is primarily Oh, the only reason

920
00:59:45,400 --> 00:59:50,080
Speaker 1: that Judy really fumbled and couldn't stop spouting eugenics and

921
00:59:50,240 --> 00:59:53,840
Speaker 1: her one press conference is because the media was twisting

922
00:59:53,880 --> 00:59:58,360
Speaker 1: her words and like they were like media training, but

923
00:59:58,560 --> 01:00:03,320
Speaker 1: she immediately forgot and they like and it's like implied

924
01:00:03,360 --> 01:00:07,800
Speaker 1: that like the media is misreporting on police press conferences,

925
01:00:08,280 --> 01:00:12,880
Speaker 1: which I wouldn't say is the problem, Like it's it's

926
01:00:13,120 --> 01:00:17,960
Speaker 1: I don't know, it's just incoherent. Like every issue they

927
01:00:17,960 --> 01:00:21,000
Speaker 1: try to tackle, it's like I don't know what you're saying,

928
01:00:21,880 --> 01:00:24,400
Speaker 1: but I think I disagree, And then other words it's like,

929
01:00:24,440 --> 01:00:27,680
Speaker 1: oh yeah, I definitely disagree. But like that was another

930
01:00:27,720 --> 01:00:30,400
Speaker 1: moment where I'm like, what does it take, like believe

931
01:00:30,920 --> 01:00:34,439
Speaker 1: cop press conferences, Like what is the takeaway from that?

932
01:00:35,480 --> 01:00:38,120
Speaker 1: To quote ma wanna, what is the lesson? What is

933
01:00:38,120 --> 01:00:41,280
Speaker 1: the takeaway? Don't miss with Mauie when he's on the breakaway.

934
01:00:42,400 --> 01:00:47,480
Speaker 1: This movie needed more Maui problem. One thing I think

935
01:00:47,480 --> 01:00:50,760
Speaker 1: this movie gets pretty accurate is um, dirty cop bullshit

936
01:00:51,320 --> 01:00:55,000
Speaker 1: because Hops pulls out all the tricks, but that's not

937
01:00:55,200 --> 01:00:59,440
Speaker 1: the movie. It's like presenting her as being like, look

938
01:00:59,480 --> 01:01:03,320
Speaker 1: how lever she is. She's so resourceful, she can get

939
01:01:03,360 --> 01:01:05,880
Speaker 1: stuff done, because like I think maybe one of the

940
01:01:05,880 --> 01:01:09,720
Speaker 1: reasons this movie was requested so frequently, especially like shortly

941
01:01:09,760 --> 01:01:12,040
Speaker 1: after it came out. Is because it's like an example,

942
01:01:12,600 --> 01:01:15,160
Speaker 1: I mean, very much on the surface. You could look

943
01:01:15,160 --> 01:01:16,880
Speaker 1: at this movie and be like, oh, it's a female

944
01:01:16,960 --> 01:01:20,959
Speaker 1: character who is really motivated and really active, and she's

945
01:01:21,000 --> 01:01:24,760
Speaker 1: driving the narrative and she's smart. She undergoes an arc

946
01:01:25,680 --> 01:01:31,520
Speaker 1: and she got more racist. But like she literally almost

947
01:01:31,520 --> 01:01:33,920
Speaker 1: shoots Jason Bavan at the like at the end of

948
01:01:33,960 --> 01:01:36,600
Speaker 1: the second act, just for like because he kind of

949
01:01:36,640 --> 01:01:51,440
Speaker 1: scared her and she almost one billion dollars. So anyway,

950
01:01:51,520 --> 01:01:55,080
Speaker 1: what was I saying, Um, oh, you're taking to highly

951
01:01:55,080 --> 01:01:59,040
Speaker 1: motivated a female character, like a surface feminine so so

952
01:01:59,080 --> 01:02:02,680
Speaker 1: I I guess it has that going for it. But

953
01:02:03,400 --> 01:02:05,960
Speaker 1: as we've pointed out, that female character is just like

954
01:02:06,520 --> 01:02:12,479
Speaker 1: girl Boss cop Lady, who is like doing crooked cop ship.

955
01:02:12,560 --> 01:02:16,080
Speaker 1: But the movie is not. Actually, the movie's intent is

956
01:02:16,120 --> 01:02:19,800
Speaker 1: not to be like, look at how crooked cops are.

957
01:02:20,320 --> 01:02:23,480
Speaker 1: It's like, look at how resourceful this clever bunny is

958
01:02:23,640 --> 01:02:27,480
Speaker 1: well and and like Jason Bateman Fox with Nick nick

959
01:02:27,560 --> 01:02:30,480
Speaker 1: Nick like says that once, like when she's in the

960
01:02:30,520 --> 01:02:34,080
Speaker 1: middle of doing a cop crime, he's like smart a

961
01:02:34,120 --> 01:02:37,920
Speaker 1: little bunny. It was like, what the fuck is happening?

962
01:02:38,480 --> 01:02:41,040
Speaker 1: Do we, um, did we hit on all of the

963
01:02:41,080 --> 01:02:43,480
Speaker 1: cop crimes? She did? Because we we did? Reference we

964
01:02:43,480 --> 01:02:46,160
Speaker 1: should run it down. Yeah, do you does anyone have

965
01:02:46,240 --> 01:02:49,440
Speaker 1: a comprehensive list? Because there there was a bunch. Okay,

966
01:02:49,480 --> 01:02:52,280
Speaker 1: So she tries to um. Well, first of all, she

967
01:02:52,520 --> 01:02:55,680
Speaker 1: profiles Gideon in the beginning, before she's even a cop,

968
01:02:55,760 --> 01:02:58,640
Speaker 1: she's on her fucking Kyle Rittenhouse ship and she just

969
01:02:58,920 --> 01:03:02,480
Speaker 1: fucking sticks her no into some ship that's not, frankly

970
01:03:02,560 --> 01:03:04,720
Speaker 1: her business. I mean, I guess her friends were getting robbed,

971
01:03:04,720 --> 01:03:09,120
Speaker 1: but you know, don't snitch. Um. So she profiles Gideon,

972
01:03:09,360 --> 01:03:12,560
Speaker 1: and then when she gets to Zutopia, she profiles Well.

973
01:03:12,600 --> 01:03:16,520
Speaker 1: First she's like, hype to give out parking tickets. Yeah right,

974
01:03:16,800 --> 01:03:19,439
Speaker 1: She's like hundred, I'll give out two hundred by noon,

975
01:03:19,840 --> 01:03:22,439
Speaker 1: and this is supposed to endear us to her. And

976
01:03:22,680 --> 01:03:25,440
Speaker 1: if it's a parking ticket in a city like Los Angeles,

977
01:03:25,480 --> 01:03:28,200
Speaker 1: for example, that then costs somewhere between like sixty five

978
01:03:28,200 --> 01:03:31,400
Speaker 1: and seventy five dollars. And she's so she's like basically

979
01:03:31,520 --> 01:03:35,720
Speaker 1: robbing the civilians of Utopia. She doesn't want to help people,

980
01:03:36,440 --> 01:03:42,640
Speaker 1: she just wants to facilitate. Trying to exactly from everyone.

981
01:03:42,880 --> 01:03:48,240
Speaker 1: Then she um tries to basically blackmail Wild after he

982
01:03:48,360 --> 01:03:51,760
Speaker 1: explains his scam, she pulls up she has tax forms?

983
01:03:52,120 --> 01:03:54,320
Speaker 1: Did she Why does she have those? I don't know

984
01:03:54,960 --> 01:03:57,240
Speaker 1: to blackmail him with I know, but well, I guess

985
01:03:57,240 --> 01:04:00,280
Speaker 1: she planned ahead. That was like a premeditated black if

986
01:04:00,360 --> 01:04:04,160
Speaker 1: she already had the forms. She tricks Wild into jumping

987
01:04:04,160 --> 01:04:07,840
Speaker 1: a fence, um so she can use probable cause to

988
01:04:07,960 --> 01:04:10,040
Speaker 1: also jump the fence and break into a car to

989
01:04:10,800 --> 01:04:14,840
Speaker 1: get evidence. I mean, Mr Mantchez is basically having a

990
01:04:14,840 --> 01:04:17,520
Speaker 1: mental health episode and she just calls more cops to

991
01:04:17,560 --> 01:04:21,440
Speaker 1: the scene to funk him up, which historically has never

992
01:04:21,800 --> 01:04:28,440
Speaker 1: goes well. Yeah, like she does so many cop crimes.

993
01:04:28,640 --> 01:04:31,120
Speaker 1: And also like there's just like these kind of I

994
01:04:31,120 --> 01:04:34,000
Speaker 1: mean again and maybe this is more like kids movie stuff,

995
01:04:34,040 --> 01:04:38,600
Speaker 1: but it's like kids copaganda, so it's complicated. But there's

996
01:04:38,640 --> 01:04:41,960
Speaker 1: like multiple moments where she's fired and then she's just

997
01:04:42,000 --> 01:04:46,080
Speaker 1: like no, I'm not, and then she's not, and then

998
01:04:46,120 --> 01:04:48,120
Speaker 1: at one point Jason Bateman is like no, she's not,

999
01:04:48,560 --> 01:04:51,840
Speaker 1: and then it's like you can't. You don't even work here,

1000
01:04:51,960 --> 01:04:54,400
Speaker 1: what are you talking about? Like, but he will also

1001
01:04:54,400 --> 01:04:56,960
Speaker 1: we should point out that like Bateman is like, you know,

1002
01:04:57,200 --> 01:05:01,320
Speaker 1: he's the criminal or whatever, and then when he reforms,

1003
01:05:01,760 --> 01:05:05,320
Speaker 1: he just becomes a cop. So like that's like, that's

1004
01:05:05,400 --> 01:05:11,240
Speaker 1: like the station that all goodhearted animals and Utopia aspire to,

1005
01:05:12,560 --> 01:05:16,120
Speaker 1: the pipeline from criminal. Before he meets Hops, he could

1006
01:05:16,200 --> 01:05:19,720
Speaker 1: never dream of being a cop. It's like, catch me

1007
01:05:19,800 --> 01:05:22,720
Speaker 1: if you can. When he's like, first, I'm a con

1008
01:05:22,800 --> 01:05:24,760
Speaker 1: artist and I'm so good at that that I'm going

1009
01:05:24,800 --> 01:05:28,439
Speaker 1: to help the cops learn about con artists. And that's

1010
01:05:28,440 --> 01:05:31,280
Speaker 1: what happens at the end of the movie. They both

1011
01:05:31,320 --> 01:05:34,920
Speaker 1: fucking suck. They suck so much it's so like, it's

1012
01:05:34,920 --> 01:05:38,080
Speaker 1: so frustrated, like and I feel like the way that

1013
01:05:38,200 --> 01:05:42,520
Speaker 1: Idris Elba's character is used is also like he's one

1014
01:05:42,560 --> 01:05:46,080
Speaker 1: of the only black voices in the cast, and he's

1015
01:05:46,160 --> 01:05:50,240
Speaker 1: cast in the police chief role, which is, at least

1016
01:05:50,600 --> 01:05:53,200
Speaker 1: right now, is a very popular trope of like the

1017
01:05:53,200 --> 01:05:57,680
Speaker 1: black police chief who just kind of unquestioning lee holds

1018
01:05:57,760 --> 01:06:01,000
Speaker 1: up the establishment. It's just, I don't know, the fact

1019
01:06:01,000 --> 01:06:04,800
Speaker 1: that this movie has no interest in interrogating policing at

1020
01:06:04,840 --> 01:06:10,200
Speaker 1: all is just so like mind blowingly frustrating to the

1021
01:06:10,240 --> 01:06:12,600
Speaker 1: Elda thing. Elda thing is so modeled too though, because

1022
01:06:12,600 --> 01:06:16,040
Speaker 1: he has such a specific like South London accent and

1023
01:06:16,160 --> 01:06:19,880
Speaker 1: like voice. Yeah, if they want, if they needed to

1024
01:06:19,960 --> 01:06:23,240
Speaker 1: like get a black cop, like he's like the not

1025
01:06:23,560 --> 01:06:25,840
Speaker 1: he wouldn't even be in like my top one voice list,

1026
01:06:25,920 --> 01:06:31,000
Speaker 1: you know, right, nothing. It's just so like I just

1027
01:06:31,040 --> 01:06:33,920
Speaker 1: feel like it's yet another example of like this movie

1028
01:06:34,000 --> 01:06:37,240
Speaker 1: just like no one is in the room who is

1029
01:06:37,280 --> 01:06:41,640
Speaker 1: thinking it through? And the little tiny bit of research

1030
01:06:41,760 --> 01:06:46,479
Speaker 1: they seemed to do was to ask one person who

1031
01:06:46,520 --> 01:06:50,160
Speaker 1: she taught them everything, and then they went to Disney

1032
01:06:50,160 --> 01:06:58,320
Speaker 1: World to congratulate themselves. Oh my god, Oh wait, one

1033
01:06:58,320 --> 01:07:01,720
Speaker 1: more thing. Um, there's a fucking you'll ever seen like

1034
01:07:01,720 --> 01:07:04,560
Speaker 1: the TikTok or Instagram videos or like cops play basketball

1035
01:07:04,560 --> 01:07:08,479
Speaker 1: with kids, like like you know, we're community policing. We're

1036
01:07:08,560 --> 01:07:11,439
Speaker 1: like we're cool. You can talk to us like we're down.

1037
01:07:12,240 --> 01:07:16,720
Speaker 1: You don't know what I'm talking about. It's just like

1038
01:07:16,880 --> 01:07:20,600
Speaker 1: bad cop propaganda to be like, look, we're actually cool,

1039
01:07:20,960 --> 01:07:23,200
Speaker 1: but it's like pretty popular in the social media age.

1040
01:07:23,360 --> 01:07:24,840
Speaker 1: There's like a thing at the end where she plays

1041
01:07:24,840 --> 01:07:27,080
Speaker 1: soccer with these two kids. Did you catch that? Like

1042
01:07:27,320 --> 01:07:29,760
Speaker 1: she's walking into city off She's like hey kids, check

1043
01:07:29,800 --> 01:07:34,840
Speaker 1: this out. Hello, fellow kids, it's me a cop. Um. Okay,

1044
01:07:35,080 --> 01:07:40,160
Speaker 1: here's a thing I'll say. Ready, So, Gideon the Fox

1045
01:07:40,680 --> 01:07:44,840
Speaker 1: speaks with a thick accent from somewhere in the American South.

1046
01:07:45,000 --> 01:07:50,400
Speaker 1: I don't know. Um. So, there's obviously a tendency to

1047
01:07:50,440 --> 01:07:54,640
Speaker 1: assign like American Southern accents to someone who has like

1048
01:07:54,720 --> 01:07:58,560
Speaker 1: a backward way of thinking, someone who has like regressive politics.

1049
01:07:58,920 --> 01:08:02,240
Speaker 1: I myself have been guilty of doing this in the past.

1050
01:08:03,120 --> 01:08:06,320
Speaker 1: But it's like it's basically doing what the movie is

1051
01:08:06,640 --> 01:08:09,400
Speaker 1: trying to say, Hey, don't do this, don't make sweeping

1052
01:08:09,560 --> 01:08:14,520
Speaker 1: generalizations about people. Don't like lean into stereotypes. And that's

1053
01:08:14,560 --> 01:08:19,519
Speaker 1: what they're doing with that character. I had that as well, Wow,

1054
01:08:19,800 --> 01:08:22,280
Speaker 1: look at us, look at us. Um it is a

1055
01:08:22,360 --> 01:08:25,200
Speaker 1: small thing, and I feel like it is something that

1056
01:08:25,800 --> 01:08:29,800
Speaker 1: it's not even like inherent to animation, although animation tends

1057
01:08:29,840 --> 01:08:32,120
Speaker 1: to be a worse perpetrator of most tropes because it's

1058
01:08:32,120 --> 01:08:35,400
Speaker 1: such an exaggerated form. But yeah, I mean I feel

1059
01:08:35,400 --> 01:08:37,360
Speaker 1: like that's something we see all the time of the

1060
01:08:37,400 --> 01:08:40,960
Speaker 1: person who is wrong quote unquote, even though he's like,

1061
01:08:41,000 --> 01:08:44,280
Speaker 1: don't be a cop, but like he's wrong. Uh, you know,

1062
01:08:44,479 --> 01:08:51,840
Speaker 1: he shouldn't have hit her. Okay uh. I think the

1063
01:08:51,920 --> 01:08:55,439
Speaker 1: person who is wrong is given a Southern accent, and

1064
01:08:55,479 --> 01:08:58,800
Speaker 1: the person who is right has a coastal accent even

1065
01:08:58,840 --> 01:09:02,439
Speaker 1: though they live in the same place, And like, why

1066
01:09:02,800 --> 01:09:05,280
Speaker 1: is does everyone here have and why does everyone here

1067
01:09:05,280 --> 01:09:07,240
Speaker 1: have a different accent? And it is truly I think,

1068
01:09:07,320 --> 01:09:13,679
Speaker 1: like just assigning heroism and nice good ideas to people

1069
01:09:13,840 --> 01:09:16,559
Speaker 1: from the coasts and if you have any kind of

1070
01:09:16,680 --> 01:09:20,439
Speaker 1: any I mean really like most regional American accents are

1071
01:09:20,479 --> 01:09:24,360
Speaker 1: applied to people who you're not supposed to think are

1072
01:09:24,439 --> 01:09:27,280
Speaker 1: as smart as someone who talks like they you know,

1073
01:09:27,479 --> 01:09:31,720
Speaker 1: like work in Manhattan or whatever the funk, you know

1074
01:09:31,760 --> 01:09:36,719
Speaker 1: what I mean. So yeah, that's just yet another weird

1075
01:09:37,680 --> 01:09:42,760
Speaker 1: l this movie voluntarily takes one billion dollars. Another one,

1076
01:09:42,840 --> 01:09:46,599
Speaker 1: I would say is the movie leans into some fat

1077
01:09:46,600 --> 01:09:51,840
Speaker 1: phobic tropes and stereotypes with the Clawhouser character and that

1078
01:09:52,040 --> 01:09:57,439
Speaker 1: he's constantly eating, He's like very sedentary and out of shape.

1079
01:09:57,479 --> 01:09:59,400
Speaker 1: The one time he has to like chase after someone

1080
01:09:59,520 --> 01:10:02,720
Speaker 1: he like is not able to physically move very well.

1081
01:10:02,840 --> 01:10:06,759
Speaker 1: Just different things like that. And there's there's the movie

1082
01:10:06,800 --> 01:10:11,479
Speaker 1: being shitty yet again in in a different way. I know,

1083
01:10:11,600 --> 01:10:13,720
Speaker 1: like we've we've like referenced a lot that there's just

1084
01:10:13,760 --> 01:10:16,080
Speaker 1: like so many individual moments in this movie where you're

1085
01:10:16,080 --> 01:10:22,559
Speaker 1: like the moment that you've brought up, Matt where um,

1086
01:10:22,600 --> 01:10:25,320
Speaker 1: where Judy quits being a cop at the end of

1087
01:10:25,320 --> 01:10:27,560
Speaker 1: the second actor, we're like, let's call it. We did it.

1088
01:10:27,800 --> 01:10:32,080
Speaker 1: Movie done. But again how it's like just like such

1089
01:10:32,120 --> 01:10:36,559
Speaker 1: a nasty feminism that is being expressed here that is

1090
01:10:37,000 --> 01:10:42,160
Speaker 1: extremely white and in service of all things capitalism, where

1091
01:10:42,200 --> 01:10:44,599
Speaker 1: it's like the framing for her quitting being a cop

1092
01:10:44,920 --> 01:10:50,080
Speaker 1: because she, in the world of this movie has ruined

1093
01:10:50,160 --> 01:10:54,080
Speaker 1: the city is like, but what about your dream? Girl?

1094
01:10:54,479 --> 01:10:57,440
Speaker 1: Like they're like, girl, don't come up on your dreams

1095
01:10:57,479 --> 01:11:02,360
Speaker 1: to fucking ruin society. You're like, what, but the movie

1096
01:11:02,400 --> 01:11:05,760
Speaker 1: believes that the movie believes that she would be morally

1097
01:11:05,880 --> 01:11:09,400
Speaker 1: wrong to give up on her dream of ruining society,

1098
01:11:09,800 --> 01:11:15,400
Speaker 1: Like it's just so misguided and so like, I don't know.

1099
01:11:17,840 --> 01:11:20,639
Speaker 1: And then Eadris Elba says, the world has always been broken,

1100
01:11:20,720 --> 01:11:23,360
Speaker 1: that's why we need good cops like you. And then

1101
01:11:23,479 --> 01:11:25,479
Speaker 1: she's like, I quit and then she's like, no, you're right,

1102
01:11:25,520 --> 01:11:27,519
Speaker 1: I'm going to get a new cop on the forest

1103
01:11:28,160 --> 01:11:33,439
Speaker 1: and recrude. I'm recruiting people, yea, so um, but that

1104
01:11:33,840 --> 01:11:39,320
Speaker 1: sex Bole they go to fucking kicks ass. That's like

1105
01:11:39,880 --> 01:11:42,200
Speaker 1: where I would hang in Utopia. I was trying to

1106
01:11:42,200 --> 01:11:44,080
Speaker 1: think of, like what micro climate I would want to

1107
01:11:44,120 --> 01:11:47,719
Speaker 1: go to, because that sequence where she first she takes

1108
01:11:47,760 --> 01:11:53,240
Speaker 1: the train, gotta give it up. That part she's cruising

1109
01:11:53,240 --> 01:11:56,439
Speaker 1: through all these climates. You've seen Utopia, which looks very

1110
01:11:56,479 --> 01:11:59,559
Speaker 1: much like Asgard from the Thorn movies, by the way,

1111
01:12:00,360 --> 01:12:01,880
Speaker 1: and I was like, yeah, I wonder where I would live.

1112
01:12:01,920 --> 01:12:03,880
Speaker 1: I think I chose the jungle, but then once I

1113
01:12:03,880 --> 01:12:06,880
Speaker 1: saw the sex Spot, it's wherever that is that your

1114
01:12:06,960 --> 01:12:09,320
Speaker 1: number one favorite part of the movie. I mean, no,

1115
01:12:09,439 --> 01:12:10,919
Speaker 1: I'm never a part of the movie is when Weaselton

1116
01:12:11,080 --> 01:12:13,760
Speaker 1: is just like I'm ready to die, motherfucker, like I

1117
01:12:13,800 --> 01:12:17,479
Speaker 1: will never help the cops like fucking kill me. But um, yeah,

1118
01:12:17,560 --> 01:12:20,880
Speaker 1: the sex Spot part is sex Spot rules. Yeah. The

1119
01:12:20,920 --> 01:12:24,840
Speaker 1: world building in this movie from a strictly visual point

1120
01:12:24,880 --> 01:12:28,920
Speaker 1: of view, not like cultural or societal, but just like visual.

1121
01:12:29,160 --> 01:12:32,519
Speaker 1: It's like very pretty and cool. I loved I loved.

1122
01:12:32,880 --> 01:12:37,120
Speaker 1: Was it called Rodentia or something where it's like where

1123
01:12:37,360 --> 01:12:40,120
Speaker 1: it was just a bunch of dollhouses. I liked that.

1124
01:12:40,120 --> 01:12:42,960
Speaker 1: That was fun, the filmmaker. So, speaking of kind of

1125
01:12:42,960 --> 01:12:49,080
Speaker 1: the world building, the filmmakers consulted experts such as zoologists,

1126
01:12:49,120 --> 01:12:52,519
Speaker 1: who were like, this is how animals move and what

1127
01:12:52,640 --> 01:12:56,080
Speaker 1: their fur looks like. I just like that shouldn't be

1128
01:12:56,160 --> 01:12:58,680
Speaker 1: priority number one, right, That's what I'm saying. Like, But

1129
01:12:59,160 --> 01:13:02,599
Speaker 1: they went so far as like consult specialists from the

1130
01:13:02,640 --> 01:13:07,559
Speaker 1: Americans with Disabilities Act who helped construct a city where

1131
01:13:07,680 --> 01:13:10,880
Speaker 1: like a two inch little rodent would live in the

1132
01:13:11,000 --> 01:13:15,520
Speaker 1: same city as like a twenty seven foot giraffe. Um.

1133
01:13:15,680 --> 01:13:20,439
Speaker 1: They also consulted h VAC system designers to figure out

1134
01:13:20,520 --> 01:13:24,160
Speaker 1: how to, for example, build a tundra neighborhood next to

1135
01:13:24,320 --> 01:13:28,160
Speaker 1: a desert. But they just only talked to that one

1136
01:13:28,240 --> 01:13:32,040
Speaker 1: lady about how to do racism. Like that's all sounds

1137
01:13:32,040 --> 01:13:39,320
Speaker 1: pretty cool, but there's one there. Oh god, that's so.

1138
01:13:39,479 --> 01:13:41,360
Speaker 1: I mean, it's like and that research. I'm sure that

1139
01:13:41,360 --> 01:13:44,240
Speaker 1: that was really fun and interesting. It's like, you gotta

1140
01:13:44,320 --> 01:13:48,960
Speaker 1: do the whole movie. You can't just do Yeah, it

1141
01:13:49,000 --> 01:13:50,439
Speaker 1: could have been awesome if they had just gone with

1142
01:13:50,479 --> 01:13:54,840
Speaker 1: a different story. I mean, the setting is awesome. Um.

1143
01:13:54,880 --> 01:13:58,439
Speaker 1: I read that. I forget which of the directors this was.

1144
01:13:58,520 --> 01:14:01,000
Speaker 1: But basically when he was pitching to John Lasseter, who

1145
01:14:01,040 --> 01:14:04,479
Speaker 1: obviously John Lasseter, but he was like, yeah, When I

1146
01:14:04,479 --> 01:14:07,479
Speaker 1: told him we wanted to do a movie about talking

1147
01:14:07,479 --> 01:14:12,280
Speaker 1: animals who wear clothes, John Lasseter reportedly picked him up

1148
01:14:12,840 --> 01:14:16,599
Speaker 1: and like hugged him and was like we green Light

1149
01:14:18,720 --> 01:14:21,760
Speaker 1: was just laughing because just like picturing a grown man

1150
01:14:21,880 --> 01:14:25,360
Speaker 1: picking up another grown man and like an excited of

1151
01:14:25,880 --> 01:14:31,280
Speaker 1: animals and clothes, which does happen all the time. The

1152
01:14:31,400 --> 01:14:35,240
Speaker 1: design of Zutopia reminded me a lot of Richard Scarry's

1153
01:14:35,280 --> 01:14:38,960
Speaker 1: Busy Town. Oh. I really loved it when I was

1154
01:14:39,000 --> 01:14:41,640
Speaker 1: a kid. Oh, I can't wait to show you. It

1155
01:14:41,800 --> 01:14:44,400
Speaker 1: was just like it was a city where all animals

1156
01:14:44,400 --> 01:14:46,439
Speaker 1: live together, and they wear clothes, and they have jobs

1157
01:14:46,960 --> 01:14:50,839
Speaker 1: and um, and they, as far as I can remember,

1158
01:14:50,920 --> 01:14:53,960
Speaker 1: don't attempt any themes that are way out of their

1159
01:14:54,000 --> 01:14:57,439
Speaker 1: depth like Zutopia does. I do feel like with this

1160
01:14:57,479 --> 01:15:01,960
Speaker 1: movie it's kind of another example of and we've talked

1161
01:15:01,960 --> 01:15:04,480
Speaker 1: about this, I think from a lot of different angles

1162
01:15:04,479 --> 01:15:09,639
Speaker 1: over the years, but like taking a massive societal ill

1163
01:15:10,240 --> 01:15:14,760
Speaker 1: like racism and prejudice in general, and making it like

1164
01:15:15,280 --> 01:15:20,040
Speaker 1: one person's fault and then being like and then they

1165
01:15:20,120 --> 01:15:22,800
Speaker 1: either learned from their miss like they learn and then

1166
01:15:22,800 --> 01:15:25,639
Speaker 1: they say, let's all get along. And then one person

1167
01:15:25,720 --> 01:15:29,360
Speaker 1: goes to jail and we're not going to talk about jail,

1168
01:15:30,600 --> 01:15:34,080
Speaker 1: like and then problem is solved. And that's like, what

1169
01:15:34,439 --> 01:15:38,880
Speaker 1: because one rabbit solved the problem? Because one rabbit became

1170
01:15:38,960 --> 01:15:42,080
Speaker 1: more racist? Like I firmly believe she became more and

1171
01:15:42,080 --> 01:15:44,400
Speaker 1: more racist as the movie was going on. But like,

1172
01:15:44,479 --> 01:15:50,559
Speaker 1: by sending Jenny Slight to jail, racism is solved. Is

1173
01:15:50,760 --> 01:15:54,200
Speaker 1: the logic that this movie is operating under. I also

1174
01:15:54,200 --> 01:15:56,240
Speaker 1: think it sucks that it's like the only other like

1175
01:15:57,040 --> 01:15:59,679
Speaker 1: dominant female character in this movie is like the most

1176
01:15:59,720 --> 01:16:02,839
Speaker 1: evil person in the world, which you know it happens,

1177
01:16:02,880 --> 01:16:07,120
Speaker 1: but but it's a there's just I feel like we've

1178
01:16:07,200 --> 01:16:09,320
Speaker 1: we've seen this. I always go back to I don't

1179
01:16:09,320 --> 01:16:11,240
Speaker 1: know why, I always go back to the Girl with

1180
01:16:11,280 --> 01:16:13,439
Speaker 1: the Dragon tattoo, and we talked about this, but like

1181
01:16:14,040 --> 01:16:19,719
Speaker 1: there's a character who assaults Lizabeth Salander in that movie

1182
01:16:19,800 --> 01:16:23,479
Speaker 1: and he is like this, you know, a symbol of

1183
01:16:23,760 --> 01:16:27,960
Speaker 1: all misogyny. And by defeating this one man, we have

1184
01:16:28,400 --> 01:16:31,360
Speaker 1: we've we've fixed it, and nothing bad is ever going

1185
01:16:31,400 --> 01:16:33,519
Speaker 1: to happen again. And I feel like that's like there's

1186
01:16:33,560 --> 01:16:36,240
Speaker 1: a version of that going on here with a different

1187
01:16:36,280 --> 01:16:42,920
Speaker 1: theme that it's just like attributing a systemic, centuries millennia

1188
01:16:43,000 --> 01:16:48,439
Speaker 1: long problem too. It was one person who's responsible, well,

1189
01:16:49,200 --> 01:16:52,679
Speaker 1: like refusing to even reference any of the issues within

1190
01:16:52,680 --> 01:16:56,040
Speaker 1: the system even though the movie is about Yeah, I

1191
01:16:56,040 --> 01:16:58,880
Speaker 1: mean the conspiracy goes to city Hall, so they they

1192
01:16:59,479 --> 01:17:04,240
Speaker 1: they're me at the system right like and city all

1193
01:17:04,320 --> 01:17:09,840
Speaker 1: and cops get along. Like that's another like, I don't know,

1194
01:17:09,400 --> 01:17:17,240
Speaker 1: I don't know. Does anyone have any other thoughts? Um,

1195
01:17:17,280 --> 01:17:22,000
Speaker 1: good for Shakira. Good for Shakira. I will say that

1196
01:17:22,880 --> 01:17:28,840
Speaker 1: a far, far, far better animal movie with a climactic

1197
01:17:28,880 --> 01:17:32,679
Speaker 1: showdown between the protagonist and the villain that takes place

1198
01:17:32,760 --> 01:17:39,640
Speaker 1: in a natural history museum is Paddington One. Wow, I

1199
01:17:39,960 --> 01:17:41,720
Speaker 1: didn't think of that. You know what else is like?

1200
01:17:42,640 --> 01:17:50,360
Speaker 1: Um Tailspina, Yeah, but it's it was like Jungle Book

1201
01:17:50,400 --> 01:17:54,240
Speaker 1: characters but they live in a city. Oh, I wow,

1202
01:17:54,360 --> 01:17:56,760
Speaker 1: I haven't thought about that. In Becky Whoa it was

1203
01:17:56,760 --> 01:17:59,800
Speaker 1: like on Disney Channel. Um, yeah, it might have been

1204
01:17:59,800 --> 01:18:03,439
Speaker 1: on regular STV too. I can't remember Starday Morning Cartoon.

1205
01:18:03,479 --> 01:18:08,120
Speaker 1: Think whoa. I wonder if that holds up. It sounds fun.

1206
01:18:08,320 --> 01:18:11,720
Speaker 1: I think I remember they're doing a new Disney plus one. Okay,

1207
01:18:12,000 --> 01:18:14,479
Speaker 1: well that's the law. You have to every piece of

1208
01:18:14,520 --> 01:18:21,719
Speaker 1: intellectual property must be rebooted. And if it's anything like Utopia,

1209
01:18:19,080 --> 01:18:28,400
Speaker 1: if it'll be Mark capaganda billion dollars. Yeah. I part

1210
01:18:28,439 --> 01:18:32,440
Speaker 1: of me is like, what about though, like the target audience,

1211
01:18:32,680 --> 01:18:37,719
Speaker 1: and is this, despite its many problems, is this movie

1212
01:18:37,840 --> 01:18:41,439
Speaker 1: an okay, jumping off point for young children to learn

1213
01:18:41,479 --> 01:18:46,000
Speaker 1: about racism and prejudice. It could be. I don't want

1214
01:18:46,000 --> 01:18:50,880
Speaker 1: to like undermine that as a possibility, but like, I

1215
01:18:50,880 --> 01:18:57,599
Speaker 1: wouldn't show this confusing and inconsistent so never mind scratch that.

1216
01:18:57,840 --> 01:19:01,240
Speaker 1: I mean, and it's again, it's like listeners if you know,

1217
01:19:01,760 --> 01:19:05,479
Speaker 1: we're not parents, so like, if your kid loves this movie,

1218
01:19:05,880 --> 01:19:09,200
Speaker 1: we would be interested to hear. Yeah, personally, I don't

1219
01:19:09,200 --> 01:19:13,080
Speaker 1: know this. This one is too messy. I wouldn't want

1220
01:19:13,200 --> 01:19:17,960
Speaker 1: my kids first introduction to these themes be this movie

1221
01:19:18,000 --> 01:19:21,280
Speaker 1: because this movie doesn't know what it's saying. Yeah, very true.

1222
01:19:22,400 --> 01:19:27,280
Speaker 1: It passes the Bechdel test though apparently between Jenny Slatee

1223
01:19:27,320 --> 01:19:31,280
Speaker 1: and Jennifer Goodwin iconic Wow, what do they talk about

1224
01:19:32,000 --> 01:19:36,120
Speaker 1: it's like sticking together talking at cops. Us. Little guy's

1225
01:19:36,120 --> 01:19:39,479
Speaker 1: got to look out for each other, and she's like

1226
01:19:40,200 --> 01:19:46,559
Speaker 1: woman's solidarity, the cop and the evil mayor. Um. Okay,

1227
01:19:46,600 --> 01:19:51,320
Speaker 1: So as far as feminist, that is feminism five nipples.

1228
01:19:51,840 --> 01:19:54,200
Speaker 1: As far as our nipple scales zero to five nipples.

1229
01:19:54,240 --> 01:19:57,639
Speaker 1: Based on how the movie fares when examining it through

1230
01:19:57,720 --> 01:20:05,200
Speaker 1: an intersectional feminist lens, I'll go with we'll get with

1231
01:20:05,240 --> 01:20:12,880
Speaker 1: this movie a half nipple because, uh, the main character

1232
01:20:13,040 --> 01:20:20,479
Speaker 1: is a woman, and um, she's you know, people are

1233
01:20:20,600 --> 01:20:25,120
Speaker 1: sexist towards her question mark. Um, but again that this

1234
01:20:25,280 --> 01:20:31,760
Speaker 1: is I just because this is where we find out

1235
01:20:31,760 --> 01:20:36,880
Speaker 1: you've been friends with Officer Hops the whole time. Um,

1236
01:20:36,880 --> 01:20:40,400
Speaker 1: so yeah, obviously I'm having a hard time justifying this.

1237
01:20:41,080 --> 01:20:44,920
Speaker 1: Um I'll give it half nipple because of weaselton character

1238
01:20:46,080 --> 01:20:50,439
Speaker 1: and the horny, horny horny animals at the horny horny

1239
01:20:50,479 --> 01:20:57,120
Speaker 1: sex spots, and those are the only redeeming things. Judy

1240
01:20:57,280 --> 01:21:00,599
Speaker 1: shut up. She's just so happy if the movie half

1241
01:21:00,600 --> 01:21:07,000
Speaker 1: a nipple. He was like, you should have been five.

1242
01:21:08,960 --> 01:21:14,839
Speaker 1: What about at the end they're driving like a militarized tank, Like,

1243
01:21:15,280 --> 01:21:17,880
Speaker 1: oh my god, and they just fucking pull over the

1244
01:21:17,920 --> 01:21:22,240
Speaker 1: slot dude, like, come on, and even though he was speeding,

1245
01:21:22,280 --> 01:21:24,559
Speaker 1: it's implied that they're like, we'll let you off the

1246
01:21:24,560 --> 01:21:27,800
Speaker 1: hook because you're my friend. Oh yeah, Oh, I thought

1247
01:21:27,840 --> 01:21:30,680
Speaker 1: baby was like hyped to throw the book at I

1248
01:21:30,680 --> 01:21:33,240
Speaker 1: don't know, hard hard to say. I'm giving this movie

1249
01:21:33,280 --> 01:21:37,880
Speaker 1: no nipples. I really didn't like it. I did. I mean,

1250
01:21:38,040 --> 01:21:41,640
Speaker 1: there are like small characters and like small scenes that

1251
01:21:41,800 --> 01:21:44,320
Speaker 1: I liked, but I just like, I don't know, this

1252
01:21:44,360 --> 01:21:47,720
Speaker 1: movie was such a bummer to watch. It's such a

1253
01:21:47,760 --> 01:21:51,920
Speaker 1: bummer that it came out so recently. I just think

1254
01:21:51,960 --> 01:21:56,360
Speaker 1: it's just like, and I know I sound like an

1255
01:21:56,360 --> 01:21:59,640
Speaker 1: asshole saying this, but I think it's neoliberal trash and

1256
01:21:59,680 --> 01:22:03,400
Speaker 1: I gets useless and I don't like it. Um Weaselton

1257
01:22:03,560 --> 01:22:07,880
Speaker 1: was fun. I laughed at the slop scene and the

1258
01:22:07,920 --> 01:22:13,720
Speaker 1: Shakira song was Okay, it's slightly better than okay. Anyway,

1259
01:22:14,560 --> 01:22:16,920
Speaker 1: how about you if you think I'll give it one Okay,

1260
01:22:17,280 --> 01:22:22,000
Speaker 1: I think it's a problematic and neoliberal trash. But if

1261
01:22:22,120 --> 01:22:25,800
Speaker 1: you aren't thinking too hard, or it's on in the background,

1262
01:22:25,920 --> 01:22:28,000
Speaker 1: or you want to just drag it with your friends,

1263
01:22:28,200 --> 01:22:33,400
Speaker 1: it's pretty good looking I mean visually, the world building

1264
01:22:33,439 --> 01:22:37,360
Speaker 1: is kind of fun. Just talk over it one nipple.

1265
01:22:39,240 --> 01:22:43,200
Speaker 1: If you are not watching it, what you're saying. If

1266
01:22:43,200 --> 01:22:45,599
Speaker 1: it's un mute and you close your eyes every time

1267
01:22:45,640 --> 01:22:48,559
Speaker 1: there's a cop on screen, it's actually awesome. Now I'm

1268
01:22:48,600 --> 01:22:50,720
Speaker 1: just doing the thing of like thinking about how I

1269
01:22:50,760 --> 01:22:53,960
Speaker 1: really liked this movie like five short years ago. Sure,

1270
01:22:54,439 --> 01:22:56,160
Speaker 1: but it's like it's yeah, like we said, it's a

1271
01:22:56,200 --> 01:23:01,000
Speaker 1: testament to how things are progressing, and it's fun to

1272
01:23:01,080 --> 01:23:06,720
Speaker 1: reflect on that. This is this was this this, this

1273
01:23:06,760 --> 01:23:08,720
Speaker 1: one broke my brain a little bit. This was a

1274
01:23:08,760 --> 01:23:11,559
Speaker 1: tough This was a tough prep. But I'm I'm glad

1275
01:23:11,600 --> 01:23:14,519
Speaker 1: we did it. Thank you for Thank you for bringing

1276
01:23:14,560 --> 01:23:16,240
Speaker 1: it to us, Matt, even though it sounds like you

1277
01:23:16,320 --> 01:23:20,360
Speaker 1: kind of didn't want to. I mean, thanks for whoever

1278
01:23:20,640 --> 01:23:24,400
Speaker 1: requested it. Because I was thinking, I didn't realize it

1279
01:23:24,400 --> 01:23:27,040
Speaker 1: would be such a rich text to dive into. Yeah,

1280
01:23:27,360 --> 01:23:29,720
Speaker 1: I didn't either. I genuinely did not know what this

1281
01:23:29,720 --> 01:23:33,200
Speaker 1: movie was about. I was like, they're at the zoo.

1282
01:23:32,560 --> 01:23:37,240
Speaker 1: It's it's Madagas, it's that movie. We bought a zoo.

1283
01:23:37,600 --> 01:23:40,880
Speaker 1: We bought a zoo. We should cover that movie. I'm

1284
01:23:40,920 --> 01:23:46,760
Speaker 1: kidding I don't know what I mean people sentence, but

1285
01:23:46,840 --> 01:23:50,960
Speaker 1: I've been wrong before. Well that yes, thank you so

1286
01:23:51,000 --> 01:23:54,120
Speaker 1: much for being here. It's been a delight. Thanks so

1287
01:23:54,200 --> 01:23:56,840
Speaker 1: much for having me. Where can people follow you on

1288
01:23:56,920 --> 01:24:01,120
Speaker 1: social media or if there's anything you'd like to plug? Um, yeah,

1289
01:24:01,160 --> 01:24:03,240
Speaker 1: I don't really post too much, but it's Matthew Mixon

1290
01:24:03,600 --> 01:24:06,640
Speaker 1: at Twitter and Instagram. Oh, actually, can I point my

1291
01:24:06,840 --> 01:24:10,920
Speaker 1: mutual aid thing? Absolutely? Okay, Um, yeah, we have a

1292
01:24:10,960 --> 01:24:14,120
Speaker 1: small mutual aid group and um, we're not very big.

1293
01:24:14,200 --> 01:24:16,920
Speaker 1: But if you go to the links on my my

1294
01:24:17,000 --> 01:24:19,640
Speaker 1: link tree or whatever, all the money I'll just like

1295
01:24:19,760 --> 01:24:22,200
Speaker 1: or you can buy like Amazon stuff like socks and

1296
01:24:22,240 --> 01:24:24,680
Speaker 1: tents and blankets and stuff. It's pretty cold in l

1297
01:24:24,720 --> 01:24:27,000
Speaker 1: A right now. We just go out every couple of weeks.

1298
01:24:27,040 --> 01:24:29,040
Speaker 1: And yeah, if you send me money, it'll go to

1299
01:24:29,080 --> 01:24:31,240
Speaker 1: tents and cool stuff that people need. Or if you

1300
01:24:31,280 --> 01:24:33,240
Speaker 1: just want to buy stuff off the Amazon links. Um,

1301
01:24:33,280 --> 01:24:37,160
Speaker 1: I really appreciate it. Hell yeah, so amazing. And if

1302
01:24:37,200 --> 01:24:40,599
Speaker 1: you can follow us on social media at pecktel Cast

1303
01:24:40,680 --> 01:24:45,120
Speaker 1: on Twitter and Instagram. You can subscribe to our Patreon

1304
01:24:45,280 --> 01:24:48,759
Speaker 1: aka Matreon that is at patreon dot com slash pecktel Cast.

1305
01:24:48,880 --> 01:24:50,960
Speaker 1: It's five dollars a month. It gets you Tube bonus

1306
01:24:50,960 --> 01:24:55,480
Speaker 1: episodes every month, plus access to the entire back catalog

1307
01:24:56,120 --> 01:25:00,639
Speaker 1: on a hundred episodes. We're finally this month U Matreon.

1308
01:25:01,040 --> 01:25:05,120
Speaker 1: We read books. We're doing the Jane Austen adaptations. You

1309
01:25:05,160 --> 01:25:08,720
Speaker 1: want to stop bugging us about um and Okay, we're

1310
01:25:08,720 --> 01:25:11,160
Speaker 1: not going to make a habit of reading books, so

1311
01:25:11,240 --> 01:25:15,840
Speaker 1: don't get used to it. Strongly anti book, anti reading podcast.

1312
01:25:16,680 --> 01:25:20,000
Speaker 1: But just this once we each read a book. We

1313
01:25:20,000 --> 01:25:24,000
Speaker 1: bought a zoom more like we read a book. Uh,

1314
01:25:24,040 --> 01:25:28,160
Speaker 1: that was awful. You can get merged at dot com

1315
01:25:28,200 --> 01:25:30,920
Speaker 1: slash the effectel Cast, where I will I will commit

1316
01:25:31,040 --> 01:25:35,360
Speaker 1: to Shrek shreky in. I have a list of so

1317
01:25:35,400 --> 01:25:39,160
Speaker 1: many shirts that we've said we would design over the years.

1318
01:25:39,400 --> 01:25:42,040
Speaker 1: Ultimately I have not designed a new shirt in two years.

1319
01:25:42,040 --> 01:25:49,400
Speaker 1: Since that's on me and now I uh bye, good episode, everybody,

1320
01:25:49,439 --> 01:25:49,920
Speaker 1: Bye bye