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Speaker 1: Hello the Internet, and welcome to season fifty four, episode

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Speaker 1: two of The Daily Night Geast for Tuesday, October twenty,

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Speaker 1: two thousand eight. Team, my name is Jack O'Brien. A

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Speaker 1: Kay Jack. You know one needs some hot takes Jack,

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Speaker 1: Not just any hot takes Jack. You know one needs

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Speaker 1: some hot takes Jack. Uh the Beatles. That is courtesy

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Speaker 1: of Xavier Barton, and I'm thrilled to be joined as

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Speaker 1: always by my co host Mr Miles Gray Well two

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Speaker 1: three Miles Gray and Jay ol b. We came to

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Speaker 1: talking to the tip top best alliance and podcast while

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Speaker 1: and that is a black Star joint, okay. And that

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Speaker 1: came all the way from Nicole pennywise Entree, all the

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Speaker 1: way from the Cole, all the way from Nicole who

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Speaker 1: I believe is coming at us, all the way from Newfoundland, Canada,

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Speaker 1: so long distance a K. Well, We're thrilled to be

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Speaker 1: joined in our third teeth by the very funny Marlena

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Speaker 1: Rodriguez by whatever rock and what bang let him know

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Speaker 1: deliver it on time. Well that's the show, guys, Yeah,

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Speaker 1: there's not much fun. So where can people find you? Uh?

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Speaker 1: How are you? I'm great? Good to have you back.

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Speaker 1: Thank you so much for having me. I'm very honored

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Speaker 1: to be here on this beautiful Tuesday. Tuesday we'll come back.

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Speaker 1: I remember, yeah, you you messaged me on you like

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Speaker 1: what's the basic due to come back? And I was like,

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Speaker 1: that's a bitch, God day, we'd love to have you back.

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Speaker 1: I still laugh about our time making fun of Barbara

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Speaker 1: Bush's passing. So we had fun. We did not make

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Speaker 1: fun of her pass We made fun. We had was. Yeah,

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Speaker 1: she she did not like you liked learning how much

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Speaker 1: of a bad bit she was? She really was a

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Speaker 1: bad bit aggressive that uh domineering. Yeah, she was the

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Speaker 1: HBI C Yeah had Barbara charge. All right, Marley and

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Speaker 1: we're going to get to know you a little bit better.

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Speaker 1: But first we're gonna take our listeners through what we're

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Speaker 1: talking about today. The goal of this show is we're

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Speaker 1: trying to tell you guys, what the nation, nay, the

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Speaker 1: world is thinking and talking about today, taking a dive

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Speaker 1: into the world shared unconscious using the headlines box office reports,

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Speaker 1: what's training on Google and social media. And today we're

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Speaker 1: going to start out talking about the weekend box office

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Speaker 1: because Halloween crushed it. The horror movie like thet movie,

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Speaker 1: in that franchise. I don't know, but I guess they

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Speaker 1: rebooted it and it did extremely well at broke all

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Speaker 1: sorts of records. So we're gonna talk about that. We're

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Speaker 1: gonna try and talk about the president's attempts to disappear

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Speaker 1: trans people. We're gonna talk about the latest details that

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Speaker 1: are dripping out of Saudi Arabia with the Kashogi nightmare.

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Speaker 1: I guess, murder, murder. Yeah. We're gonna talk about what

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Speaker 1: the Trump organization's business is is what what how do

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Speaker 1: they make their money? Why is that still a business

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Speaker 1: after all these years. I'm gonna learn still. Yeah, We're

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Speaker 1: gonna talk about robo calls because they are somewhat out

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Speaker 1: of control, the caravan of migrants who are currently one thousand,

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Speaker 1: seven hundred miles away from the US Mexican border. We're

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Speaker 1: gonna talk about Chipotle bringing back the boo rita discount

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Speaker 1: burrito burrito. I thought it was like a thing where

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Speaker 1: you slept with somebody at Chipotle, made them your boo

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Speaker 1: and then got a discount. But it is, in effect

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Speaker 1: that's just called college. It is the discount where they

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Speaker 1: let you basically have a burrito for four dollars for

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Speaker 1: wearing a costume. So we're gonna also on that subject

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Speaker 1: talk about some topical easy Halloween costumes that you can

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Speaker 1: use to your advantage this year. Uh. And then we're

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Speaker 1: gonna talk about uber eats and where they see the future.

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Speaker 1: Hint it is drone based and delicious, terrifying, but also

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Speaker 1: movie convenient and so I'm good with that. But first, Marline,

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Speaker 1: we like to ask our guests, what is something from

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Speaker 1: your search history that is reveiling about who you are? Um?

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Speaker 1: I have been mostly searching places to go for New

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Speaker 1: Year's UM, places to places outside of the like where's

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Speaker 1: the best place in the world to be on New

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Speaker 1: Year's I've made it a tradition, tradition passed to Google

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Speaker 1: this just at three am every night, and then I

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Speaker 1: look at my bank account and I go, well, guess

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Speaker 1: not goodbye? So what's on that list? Um, We've got Berlin. Wait,

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Speaker 1: I'm sorry, I made a joke. When you say it's

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Speaker 1: a tradition, do you you travel somewhere annually to go

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Speaker 1: to the most lit New Year's Yes. The last year

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Speaker 1: was Iceland, which was amazing, um, and then the year

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Speaker 1: of four was Cuba. Okay, Damn, it's only been too

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Speaker 1: but I gotta do three, so it's like a thing. Yeah, no, absolutely,

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Speaker 1: those are awesome places to travel at any time, let

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Speaker 1: alone New Year's. Do they recognize New Year's in Cuba?

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Speaker 1: Is it a big uh? Maybe that'll be my my

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Speaker 1: my myth that I talked about later the Cuba. Did

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Speaker 1: we talk about Cuba lest idea? Maybe this sounds familiar,

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Speaker 1: maybe one huge myth? I don't Okay, wait, so what's

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Speaker 1: on your list? Now? Berlin is number one? But right

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Speaker 1: now that we're we're considering we being me and but

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Speaker 1: like New Zealand and Rio, London um looks wisely. New York,

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Speaker 1: I know, real looks bananas. I feel like I got

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Speaker 1: to get in the swing of liking drinking again to

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Speaker 1: do that m or finding a cocaine hook up. Yeah, bruss,

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Speaker 1: I don't even know where Rio is. Rio is just

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Speaker 1: a place and uh, let's see. And then you know

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Speaker 1: the thing where places you expect like New York and Paris,

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Speaker 1: but also Progue is supposed to be cool. I'm looking

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Speaker 1: for the ones no one knows that are cool. Yeah. Yeah.

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Speaker 1: The good thing about traveling to places just so you

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Speaker 1: can say you've been there is that you don't even

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Speaker 1: have to leave the airport. You just go show up

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Speaker 1: be like yeah, now I can be Do you ever,

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Speaker 1: oh you have to go. Have you ever caught someone

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Speaker 1: trying to act like they've fucking been somewhere and then

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Speaker 1: it turns out they only been to the layover at

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Speaker 1: the airport? Oh my god, Oh my god, do you

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Speaker 1: hang out? Yeah, that's that's where I was going. It

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Speaker 1: was someone I met and like just you know, randomly

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Speaker 1: and talking about, yeah, um, you know where I just

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Speaker 1: I brought up that I was Japanese, like oh yeah, yeah,

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Speaker 1: I was just in Tokyo. Mom. I was like, oh cool,

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Speaker 1: where'd you stay? And they're like, oh, it was actually

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Speaker 1: just a layover and I was like I was, I

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Speaker 1: was at the Narita Airport or whatever. Don't don't tell me.

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Speaker 1: Oh I love it there. Yeah, And they I think

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Speaker 1: they've realized how like whack that was, And then they

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Speaker 1: just got really awkward and it's really massive aggressive when

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Speaker 1: you talk about me and the third person like this,

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Speaker 1: I was trying to save you know, your face, Marlena,

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Speaker 1: What is something that you think is overridd Besides Berlin,

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Speaker 1: apparently the comedy seller comedy Comedy Seller. Yeah soon and

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Speaker 1: soon all other comedy clubs in New York apparently. Um,

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Speaker 1: but yeah, the Comedy Seller is that because of that article?

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Speaker 1: That care what the owner was like, Lucy k is

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Speaker 1: never banned from here every Yeah, I just listened to

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Speaker 1: I listened to The Daily a lot, and they did

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Speaker 1: an interview with the owner of the Comedy Seller, and um,

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Speaker 1: my favorite is when Michael Barbera gets people to realize

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Speaker 1: they're long in real time and uh, and he definitely

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Speaker 1: did that. My favorite was listen to the interview over.

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Speaker 1: I almost didn't because I was like, really upset that

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Speaker 1: I had to listen that that was that Louis t

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Speaker 1: K is in my universe at all. Um. But essentially

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Speaker 1: he got him to be like, uh, this is what

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Speaker 1: I believe, but this is also what I believe and therefore,

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Speaker 1: oh shit, oh I realized because he was trying to

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Speaker 1: be like, uh, this is the line, and I you know,

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Speaker 1: we don't know where the line is. Someone has to

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Speaker 1: draw the line and then essentially realizing he drew the

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Speaker 1: line and therefore everyone in New York is now booking.

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Speaker 1: But but the Comedy Seller is such a big fucking

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Speaker 1: deal to absolutely every comedian, and I just wish those

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Speaker 1: things would go away. Same thing with the store here. Now,

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Speaker 1: I do want to work at both these places, so please,

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Speaker 1: you know, do hire me, but uh, please disregard everything

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Speaker 1: I'm about to say and care deeply about and definitely

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Speaker 1: stand by, but would like to be a paid regular. Um,

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Speaker 1: please pass me. No, it's not fun to hang up

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Speaker 1: at these places and be a woman because you know

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Speaker 1: that the things that you care about and the things

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Speaker 1: that you want to talk about, the things that you

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Speaker 1: need to say just are not on the same planet

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Speaker 1: as a people know they're they're they're not, they're not.

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Speaker 1: And you know that also cultivates a certain type of audience.

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Speaker 1: And when you have a place where your solution to

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Speaker 1: the Louis k problem is, oh, I'm going to uh,

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Speaker 1: I'm just gonna put up a sign that says like

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Speaker 1: swimming your own risk or whatever, like are you delicate?

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Speaker 1: Brain isn't ready for a guy to do exactly like

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Speaker 1: water material who also happens to be a sexual predator.

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Speaker 1: I just think it's like, ultimately very sad how much

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Speaker 1: people have to get raped to understand how difficult it

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Speaker 1: is to live with being raped, right yeah, not to

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Speaker 1: talk about rape, but here we are are we talking about? Right?

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Speaker 1: Rape is super overrated? And what is something you think

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Speaker 1: is underrated? That was a j okay for y'all fight

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Speaker 1: me on Twitter. Underrated. Yeah, that's gonna be skip lag

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Speaker 1: dot com. Guys, skip So this is your job, right

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Speaker 1: Apparently I am going to have to reach out to

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Speaker 1: them after this. Have you ever heard of it? Okay?

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Speaker 1: So skip l a g dot com, skip lag skip

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Speaker 1: lagged a G G E D. Because I just went

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Speaker 1: to skip leg dot com and that is a just

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Speaker 1: one of those pages where it's like they're parked on it,

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Speaker 1: you sucker, Yeah, parked page skip lagged dot com. However

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Speaker 1: is looks I don't know what it is. It just

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Speaker 1: so plague. Listen. A big thing about me is I'm

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Speaker 1: mostly thinking about travel all the time. I hate it.

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Speaker 1: I do hate traveling, but I love travel. I love

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Speaker 1: searching and researching and booking travel. So it's oh, but

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Speaker 1: it's the going on route is what you hate the most.

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Speaker 1: You just love being either in point A or being

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Speaker 1: in point B, not the distance between the Yeah, in general,

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Speaker 1: in life, yeah, getting here was horrible being here. I

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Speaker 1: know you came in here like I loved it here

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Speaker 1: and I thank you so much. I was like, I

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Speaker 1: hated it out. So skip lag what you can do

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Speaker 1: is you can search flights. There you go to you

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Speaker 1: can search flights and what they'll do is so I

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Speaker 1: just used it, I admit it. And what it does

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Speaker 1: is like you'll be like, okay, I need to go

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Speaker 1: from l A to New York and that flights five dollars, right,

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Speaker 1: but skip lagged will show you a flight that's going

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Speaker 1: from l A to Buffalo stopping in New York that's

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Speaker 1: cheaper that you can just get off at the stop.

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Speaker 1: Oh should and then surrender your ticket like you'd be like,

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Speaker 1: I'm not feeling the Buffalo lego this. Yeah, yeah, I

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Speaker 1: just did it. Wait, so there's that, like so the

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Speaker 1: pricing is that wacky that half the time you're like,

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Speaker 1: you know, honestly, I have a direct flight, but it

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Speaker 1: was actually just connection to another place exactly. I called

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Speaker 1: the last gun was like, listen, this flight is cheaper,

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Speaker 1: I'm gonna buy it and I'm not going to get

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Speaker 1: on the connecting. I need you to know that. Just

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Speaker 1: sell me it for less, right, and then you can

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Speaker 1: make more money on that ticket on that seat that

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Speaker 1: I'm not going to sit in, and they were like, sorry, ma'am,

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Speaker 1: I mean, do what you need to do. But that's

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Speaker 1: you know, it's a whole pricing, it's bureaucracy. So it's interesting.

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Speaker 1: They also have a Los Angeles to Anywhere option just

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Speaker 1: for Yeah, I love I love searching for your all.

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Speaker 1: I'm not going to make my court dait today. Yeah,

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Speaker 1: that was true. That's amazing. Well, that's pretty cool. That's

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Speaker 1: pretty cool, man, that's pretty cool. Legal too. They got

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Speaker 1: super sued by a bunch of airlines. Really yeah, but

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Speaker 1: at the end of the day that the airlines I

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Speaker 1: guess benefit because you're still purchasing that ticket. But I

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Speaker 1: guess then they're mad that They're like, but then we

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Speaker 1: got all these seats we could have been resold. Maybe

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Speaker 1: just make your pricing a little more reasonable then, mm hmm.

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Speaker 1: Let them know, get a grip. What is a myth?

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Speaker 1: What's something most people think it's true? You know to

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Speaker 1: be falls? Um, well, can I give you choices? Yeah,

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Speaker 1: we got either. Cute dogs are nice. Pooping takes a

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Speaker 1: long time. Let's do cute dogs are nice because pooping

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Speaker 1: does take a long time. Definitely has it definitely does

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Speaker 1: your niece your chest and blow your butt hole out

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Speaker 1: or put your feet on the trash can. Okay, there's

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Speaker 1: a lot of options, we got, there's so many options

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Speaker 1: to make your own squatty potty. I just I just

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Speaker 1: groveled on Twitter to them. Just build the toilet into

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Speaker 1: the ground. There you go, yeah, and then will be

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Speaker 1: you know what this whole thing. Hold on a second, wait,

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Speaker 1: what about cute dogs are nice? So my dog is

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Speaker 1: so cute. She's so cute, Yorky terrier with about a

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Speaker 1: violent percentage of Chihuahua. We don't know what percentage, but

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Speaker 1: it is just violet. Really. Yes, so her eyes say

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Speaker 1: touch me, you know, her eyes say I feel soft. Um.

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Speaker 1: I won't bite you um or attack your dog. Um.

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Speaker 1: That is not the case. Her fangs say otherwise. Yes,

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Speaker 1: So she just if you, if you go for that

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Speaker 1: little bit of petting or whatever, don't go for the

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Speaker 1: fucking pete. So you look at me like I may

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Speaker 1: look like this, but to get I'm the wrong. Fu

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Speaker 1: the funk out of here. Yeah that's interesting. Yeah, I

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Speaker 1: wonder how much she's the Louis c k. That's true.

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Speaker 1: But but he looks harmless. He does. The whole thing

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Speaker 1: is that he's hard, he's harmless anyways, that my whole

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Speaker 1: prerogative is just getting back to talk you Louis anyway.

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Speaker 1: But the you know, small dogs made it all the

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Speaker 1: way down to us through evolution somehow. You know, they didn't.

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Speaker 1: They didn't make it by being nice. You know a

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Speaker 1: lot of inbreeding, did you know a lot of dogs,

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Speaker 1: a lot of really cute dogs just to have down syndrome? Oh,

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Speaker 1: do yourself a favor. Well, it's actually a disservice, And

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Speaker 1: do yourself a disservice and google, um, does my head

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Speaker 1: dog have down syndrome? Room? No, there's there's a diagram

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Speaker 1: out there somewhere that has like what a dog should

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Speaker 1: look like and what in bred dogs look like. It actually,

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Speaker 1: don't do it. Um, it's not. Well, that's usually like,

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Speaker 1: especially if they're like specialty breaths, right, that's the only

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Speaker 1: way they can be like, all right, look, I gotta

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Speaker 1: make sure this thing's got Dalmatian spots and I can't

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Speaker 1: just bring a pit bull into the mix. Yeah, they

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Speaker 1: let the market determine what the dog looks like rather

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Speaker 1: than the health of the dogs and lifespan and stuff

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Speaker 1: like that, and that's where you're get into trouble. Has

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Speaker 1: your dog ever gone into legal problems or done somewhere

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Speaker 1: you're like, oh shit, I'm so sorry that your baby's

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Speaker 1: face off. Yes, I mean she'll she lashes out at

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Speaker 1: anyone in everyone. Um, she put the funk out of

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Speaker 1: my mom because my mom was like, I'm going to

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Speaker 1: get this out of her, and my mom's Puerto Rican

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Speaker 1: and Puerto Rican people are like, you know, let me

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Speaker 1: disgruntle this out of her. Um. So she just tried

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Speaker 1: to make her so rapid that I guess she would

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Speaker 1: just exercise. I don't really know that is what she

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Speaker 1: was trying to do. She was trying, and so she

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Speaker 1: put the walk out of her. And then I was like,

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Speaker 1: is my mom going to assume me? I was really

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Speaker 1: just like she won't stop talking about it. And you know,

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Speaker 1: your dog did bite me in these medical expenses and

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Speaker 1: she doesn't have to pay for my sister's gymnastics, so

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Speaker 1: I guess, yeah, right, that's ain't coming out of the

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Speaker 1: Remember your dog did bite me? Right? Yeah? She always

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Speaker 1: has that. Did she immediately get a self satisfied smile

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Speaker 1: on her face when your dog bit or like I'll

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Speaker 1: use this for some somehow shocked. She just screamed checkmate,

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Speaker 1: and then m yeah, I will say on the way

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Speaker 1: out of my house, UM, I do have one of

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Speaker 1: those things that they have at the airport that you

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Speaker 1: just kind of hit the button of how what you're

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Speaker 1: satisfaction and hers was you know, red and sad face.

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Speaker 1: So those things are rigged anyway. I would that would

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Speaker 1: be amazing to have one of those in your house,

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Speaker 1: just a bit yeah, or someone really that insecure that

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Speaker 1: I have to know if they had fun. What would

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Speaker 1: your user rating be of just your experience thus far?

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Speaker 1: I honestly think my house would be like a four

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Speaker 1: point three out of five out of five. I think

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00:18:12,160 --> 00:18:14,800
Speaker 1: I'd lose a lot of points and paying attention about

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00:18:14,800 --> 00:18:17,840
Speaker 1: the dog biting and the fucking dog biting get offset that.

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Speaker 1: I hope you have like a tray of drugs or

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Speaker 1: something like. I know the dog bit you, but you're

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Speaker 1: a self medication. Well, yeah, I kind of. The one

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Speaker 1: time I got attacked by the pilot's dog on a

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Speaker 1: United flight, I did not give them a very good what.

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Speaker 1: I loved that for a second. It's such a good story,

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Speaker 1: all right. I think of all the people you just

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Speaker 1: let down. Yeah, I apologize. I'm his fucking lives bad

311
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Speaker 1: at this. All right, let's talk about the weekend box office.

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Speaker 1: It was a seeing eye. Dogs doesn't imagine that they're

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Speaker 1: they're coming around for a food service. And I was like,

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Speaker 1: get back. It's like the pilot can't get don't worry,

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Speaker 1: it's our pilots service. Dog. My dog once got loose

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Speaker 1: in the cabin and ran directly up to first class

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Speaker 1: and took a ship in first class and they almost

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Speaker 1: had to land the plane. Yeah, it was bad. It

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00:19:21,400 --> 00:19:27,159
Speaker 1: was bad. No, that was a dog named Emma who

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Speaker 1: last long, not because of that hold on, because we

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Speaker 1: threw it out the plane. Can you tell me how

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Speaker 1: this dog died? Yeah, so she feels like she had

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Speaker 1: a coming. Oh my god, it sounds like she had.

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00:19:43,520 --> 00:19:46,480
Speaker 1: So we traveled a lot back then. We lived in

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Speaker 1: the middle of the country and our families on the

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Speaker 1: East coast, and so we knew we were gonna have

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Speaker 1: to travel a lot. So we specifically got the smallest

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Speaker 1: dog in the litter so that we could like keep

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Speaker 1: her in the you know, cabin with us. And she

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Speaker 1: was the smallest dog in the letter because she had

331
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Speaker 1: a kidney deformed kidney or something. So she she didn't

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Speaker 1: even make it to one um. So yeah, yeah, how

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00:20:11,119 --> 00:20:19,320
Speaker 1: does that feel like that? How does any other death?

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00:20:19,600 --> 00:20:24,280
Speaker 1: Tragic death, canine renal comedy you want to, don't mean technically,

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00:20:24,480 --> 00:20:27,439
Speaker 1: she had it coming. It was on its way, It

336
00:20:27,560 --> 00:20:30,919
Speaker 1: was predetermined. She was super cute. But like everyone was

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00:20:31,000 --> 00:20:33,160
Speaker 1: like after she died, they were like, yeah, we knew

338
00:20:33,200 --> 00:20:38,399
Speaker 1: she was gonna do. She smelled like terrible because she

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00:20:38,560 --> 00:20:42,399
Speaker 1: was like dying. She smelled like a fish market because

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00:20:42,960 --> 00:20:55,639
Speaker 1: when you're like in renal fail. Yeah she was. She

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00:20:55,720 --> 00:20:58,639
Speaker 1: was adorable though, and you gave it, you gave it

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00:20:58,680 --> 00:21:01,639
Speaker 1: your best shot. We did, we did. She was my

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00:21:01,680 --> 00:21:03,560
Speaker 1: little girl, like what you did. We could have moved

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00:21:03,600 --> 00:21:05,879
Speaker 1: on to talk about the box office, and now we

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00:21:05,880 --> 00:21:17,840
Speaker 1: had to learn about the the stinky dead dog. All right,

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00:21:17,840 --> 00:21:19,880
Speaker 1: we're gonna take a quick break. We'll be right back,

347
00:21:29,960 --> 00:21:34,120
Speaker 1: and we're back, and it is time to move off

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00:21:34,200 --> 00:21:39,560
Speaker 1: of my dearly departed puppy and on to the weekend

349
00:21:39,560 --> 00:21:43,240
Speaker 1: box office. Guys, Halloween crushed it at the box office.

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Speaker 1: I asked everybody when they came into work today if

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Speaker 1: they're horror fans, Marlene, I haven't asked you yet, I

352
00:21:48,600 --> 00:21:51,480
Speaker 1: don't think, but we don't have a single horror fan

353
00:21:51,520 --> 00:21:54,320
Speaker 1: in the office. And I think it's interesting because I

354
00:21:54,320 --> 00:21:59,320
Speaker 1: think it's the most like social society bound of our movies.

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Speaker 1: Like in two hundred years, when people look back at

356
00:22:02,600 --> 00:22:06,480
Speaker 1: our movies, horror movies are gonna seem the weirdest. It's like, Okay,

357
00:22:06,480 --> 00:22:09,240
Speaker 1: that person is wearing a mask and like walking around

358
00:22:09,320 --> 00:22:13,000
Speaker 1: and stabbing young women to death. Like it's just I

359
00:22:13,040 --> 00:22:16,119
Speaker 1: don't know. Yeah, in this case, a giant, mentally ill

360
00:22:16,240 --> 00:22:19,199
Speaker 1: person in a blank mask walks around murdering people in

361
00:22:19,560 --> 00:22:22,840
Speaker 1: the most inefficient ways possible and like booby traps the

362
00:22:22,840 --> 00:22:26,880
Speaker 1: house with their bodies. That just seems like a weird dream,

363
00:22:26,920 --> 00:22:31,240
Speaker 1: but it's very popular. It's also weird because so I

364
00:22:31,240 --> 00:22:34,959
Speaker 1: always follow the box office and this was a huge success,

365
00:22:35,000 --> 00:22:39,119
Speaker 1: and box office Mojo talks about like exit tracking and

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00:22:39,240 --> 00:22:42,280
Speaker 1: like what audience has thought, and it got to be plus,

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00:22:42,359 --> 00:22:45,640
Speaker 1: which is usually not that good for a huge hit

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00:22:45,720 --> 00:22:48,399
Speaker 1: movie like this, but they were saying, it's actually really

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Speaker 1: good for a horror movie that I gotta be plus,

370
00:22:50,840 --> 00:22:54,520
Speaker 1: that I gotta be plus, which is not usually very good,

371
00:22:54,600 --> 00:22:57,600
Speaker 1: Like if a normal blockbuster gotta be plus, they'd be like,

372
00:22:57,840 --> 00:23:00,240
Speaker 1: it's not tracking very well for like word of Out

373
00:23:00,840 --> 00:23:04,920
Speaker 1: And the other big horror hit from earlier this year

374
00:23:05,480 --> 00:23:09,800
Speaker 1: was Hereditary, which did really well based on word of mouth,

375
00:23:09,840 --> 00:23:14,760
Speaker 1: and that had a D audience rating. So it's it's

376
00:23:14,880 --> 00:23:17,920
Speaker 1: this kind of riddle about like what is it that

377
00:23:18,000 --> 00:23:22,400
Speaker 1: we love about horror movies Because it's a negative experience.

378
00:23:22,440 --> 00:23:25,760
Speaker 1: It's like the more negative the experience, the better it is.

379
00:23:26,640 --> 00:23:30,439
Speaker 1: Um but yeah, I don't know. It's also more like

380
00:23:30,480 --> 00:23:34,760
Speaker 1: it's tied to our anxieties. Uh. I was really into

381
00:23:34,800 --> 00:23:37,560
Speaker 1: slasher movies when I was like eight and nine years old.

382
00:23:37,600 --> 00:23:40,200
Speaker 1: I asked my dad to take me to see Friday

383
00:23:40,520 --> 00:23:44,639
Speaker 1: Jason Takes Manhattan on my ninth birthday. That's not what

384
00:23:44,680 --> 00:23:49,879
Speaker 1: it's called. Was that before or after Muppets Take Manhattan?

385
00:23:50,359 --> 00:23:52,440
Speaker 1: It was after It was like, hey, look at this

386
00:23:52,560 --> 00:23:58,720
Speaker 1: fun plays purpose Wow, I like that. Tore like you

387
00:23:58,720 --> 00:24:02,080
Speaker 1: don't funk these muppets. Jason's up in man and by

388
00:24:02,080 --> 00:24:04,679
Speaker 1: the way, So my dad eventually saw a Friday at

389
00:24:04,680 --> 00:24:08,720
Speaker 1: thirteenth seven on TV and was like, Oh, I can't

390
00:24:08,720 --> 00:24:11,200
Speaker 1: take you to this. This is like this is so

391
00:24:11,320 --> 00:24:14,239
Speaker 1: fucked up. What's what's wrong with you, and then I

392
00:24:14,280 --> 00:24:19,120
Speaker 1: think he became very concerned about me. But I think

393
00:24:19,119 --> 00:24:21,560
Speaker 1: it was because then like at a certain point, like

394
00:24:21,600 --> 00:24:24,320
Speaker 1: two years later, I just wasn't interested in those movies anymore.

395
00:24:24,320 --> 00:24:26,679
Speaker 1: And I think it was like a like something to

396
00:24:26,800 --> 00:24:31,359
Speaker 1: do with like psycho sexual developmental thing, because like I

397
00:24:31,400 --> 00:24:36,479
Speaker 1: was really into watching like giant hulking maniacs stab women

398
00:24:36,560 --> 00:24:39,040
Speaker 1: to death, Like I don't know what the funk that was,

399
00:24:39,480 --> 00:24:41,520
Speaker 1: and then I was like over it. And then he

400
00:24:41,560 --> 00:24:57,120
Speaker 1: started collecting sickly animals back only forward um Manhattan five

401
00:24:57,200 --> 00:24:59,960
Speaker 1: years before Jason. Yeah, so the Jason thing was post

402
00:25:00,160 --> 00:25:03,480
Speaker 1: what was that cheeky construction always there? Like someone takes Manhattan?

403
00:25:03,680 --> 00:25:05,639
Speaker 1: Was I don't know his muppets the first whatever. It's

404
00:25:05,680 --> 00:25:10,480
Speaker 1: pretty sure it's just muppets for you, Jason. Yeah, wait,

405
00:25:10,560 --> 00:25:12,080
Speaker 1: way to go. I just done. The most of that

406
00:25:12,119 --> 00:25:14,520
Speaker 1: movie takes place on a cruise ship. So I just

407
00:25:14,560 --> 00:25:18,000
Speaker 1: hate being I'm so laid back that if a movie

408
00:25:18,000 --> 00:25:20,000
Speaker 1: starts trying to funk with me, I'm like, yo, yo,

409
00:25:20,040 --> 00:25:21,919
Speaker 1: you're trying to take me out of my zone. I

410
00:25:21,960 --> 00:25:25,040
Speaker 1: like thrillers and should I like ten I don't like

411
00:25:25,040 --> 00:25:28,520
Speaker 1: like that type ship, you know, sir. I mean something.

412
00:25:28,520 --> 00:25:30,240
Speaker 1: But usually when I watch, it's always because a bunch

413
00:25:30,280 --> 00:25:32,240
Speaker 1: of people are like, hey, let's check this out, and

414
00:25:32,280 --> 00:25:36,600
Speaker 1: I will. But I'm never seeking a horror film unless

415
00:25:36,600 --> 00:25:39,600
Speaker 1: it's it's more experience than film. Yeah, and I think

416
00:25:39,600 --> 00:25:41,600
Speaker 1: that's what it is. We're just sitting there kind of

417
00:25:41,640 --> 00:25:46,200
Speaker 1: losing my ship, right, not eating popcorn, and I guess,

418
00:25:46,240 --> 00:25:49,920
Speaker 1: like the whole point, yeah, someone like just terrible anxiety.

419
00:25:49,960 --> 00:25:52,600
Speaker 1: I'm like, the last thing I want is a ninety

420
00:25:52,680 --> 00:25:57,520
Speaker 1: minute just hit a fucking straight anxiety and feared. But

421
00:25:57,800 --> 00:26:00,280
Speaker 1: you know, I guess I can't. I just can't change

422
00:26:00,320 --> 00:26:02,359
Speaker 1: my perception of the film's a little bit. Well, there's

423
00:26:02,440 --> 00:26:06,159
Speaker 1: this kind of loose study done about horror movies that

424
00:26:06,240 --> 00:26:10,080
Speaker 1: come out during Republican versus Democratic administrations, and I found

425
00:26:10,080 --> 00:26:13,639
Speaker 1: that more vampire movies came out during Democratic administrations and

426
00:26:13,680 --> 00:26:17,800
Speaker 1: more zombie movies came out during Republican administrations. And the

427
00:26:17,800 --> 00:26:22,600
Speaker 1: theory is that when you're scared of Republicans, you're scared

428
00:26:22,640 --> 00:26:25,359
Speaker 1: of zombies, and when you're scared of Democrats, you're scared

429
00:26:25,359 --> 00:26:28,400
Speaker 1: of vampires because they sort of like the groaning masses

430
00:26:28,440 --> 00:26:33,520
Speaker 1: represents what Democrats think about Republican voters and vampires being

431
00:26:33,560 --> 00:26:40,120
Speaker 1: like weird, sexual deviant Europeans is what Republicans fear about Democrats.

432
00:26:40,560 --> 00:26:44,439
Speaker 1: And I just feel like it's the most direct tie

433
00:26:44,480 --> 00:26:50,280
Speaker 1: between like entertainment and what our like society is thinking

434
00:26:50,320 --> 00:26:52,919
Speaker 1: about and worrying about. Right, Well, yeah, because you can

435
00:26:52,960 --> 00:26:55,400
Speaker 1: definitely map all kinds of social things to so many

436
00:26:55,400 --> 00:26:57,600
Speaker 1: of these movies that we're coming out. Yeah, I guess

437
00:26:57,640 --> 00:27:00,119
Speaker 1: that can make sense. Well but are you talking? Are

438
00:27:00,160 --> 00:27:02,199
Speaker 1: they talking? And you might not have the answer, bar

439
00:27:02,240 --> 00:27:05,920
Speaker 1: are they talking? All vampire movies are like all the

440
00:27:06,080 --> 00:27:09,639
Speaker 1: scary movies were vampirement because I feel like in Obama,

441
00:27:09,720 --> 00:27:13,600
Speaker 1: Twilight was happening and it wasn't scary. It was vampires,

442
00:27:13,640 --> 00:27:17,840
Speaker 1: but it wasn't it wasn't scary. I mean, at the

443
00:27:17,880 --> 00:27:20,920
Speaker 1: same time, it was like young people going to see

444
00:27:20,960 --> 00:27:24,639
Speaker 1: the hip new vampire and their parents were probably like,

445
00:27:24,680 --> 00:27:27,399
Speaker 1: don't see that hip vampire. Like it kind of maps

446
00:27:27,440 --> 00:27:31,359
Speaker 1: to Obama, like young people are into this vampire. Well

447
00:27:31,920 --> 00:27:34,840
Speaker 1: you know they're Republican Paris they would take an account

448
00:27:34,840 --> 00:27:38,119
Speaker 1: all vampiric content, Yeah, they did, and it was just

449
00:27:38,240 --> 00:27:41,160
Speaker 1: like a slight statistic upward trend. I just think it's

450
00:27:41,200 --> 00:27:46,480
Speaker 1: more interesting to like think about how horror movies map too,

451
00:27:47,000 --> 00:27:50,880
Speaker 1: you know, our social issues and social anxieties. I mean,

452
00:27:50,960 --> 00:27:54,080
Speaker 1: I think Michael Myers is interesting because I was reading

453
00:27:54,119 --> 00:27:56,439
Speaker 1: about the design of his mask and they were just

454
00:27:56,480 --> 00:27:59,280
Speaker 1: talking about the importance of it being blank, just like

455
00:27:59,320 --> 00:28:03,679
Speaker 1: a blankets oppression, because like the black mask in drama

456
00:28:03,880 --> 00:28:06,920
Speaker 1: theory is like the thing that allows you to project

457
00:28:07,040 --> 00:28:10,440
Speaker 1: your own like inner thoughts and feelings onto something. So

458
00:28:11,000 --> 00:28:14,760
Speaker 1: I'd imagine that Michael Myers would be more popular at

459
00:28:14,840 --> 00:28:19,119
Speaker 1: times when we're particularly anxious. And the fact that he's

460
00:28:19,560 --> 00:28:23,639
Speaker 1: you know, unprecedentedly popular. The Halloween movie broke all sorts

461
00:28:23,640 --> 00:28:26,720
Speaker 1: of records this weekend might just have to do with

462
00:28:26,720 --> 00:28:31,119
Speaker 1: the fact that there's more anxiety, just general anxiety in

463
00:28:31,160 --> 00:28:35,280
Speaker 1: our culture right now. Super producer Nixt Stump just pointed

464
00:28:35,320 --> 00:28:38,719
Speaker 1: out that it's Danny McBride who co wrote it along

465
00:28:38,720 --> 00:28:42,360
Speaker 1: with his you know, directing partner. I did not know that.

466
00:28:43,080 --> 00:28:46,480
Speaker 1: Now I kind of want to go I don't think

467
00:28:46,480 --> 00:28:49,320
Speaker 1: it's supposed to be that makes sense, But they're just

468
00:28:49,360 --> 00:28:51,680
Speaker 1: there's a big Halloween fans and I mean, this is

469
00:28:51,720 --> 00:28:56,920
Speaker 1: the second huge success in two years, with get Out

470
00:28:57,200 --> 00:29:01,760
Speaker 1: coming out from Jordan peel so, and I think that

471
00:29:02,040 --> 00:29:06,480
Speaker 1: humor is often based on anxiety, as like horror movies.

472
00:29:06,560 --> 00:29:09,320
Speaker 1: So you know there are two different ways of getting

473
00:29:09,360 --> 00:29:13,640
Speaker 1: at the same sort of cultural stuff. Well, we're craftsman

474
00:29:13,760 --> 00:29:18,800
Speaker 1: at tension, right exactly. Yeah, and one you, you know,

475
00:29:18,880 --> 00:29:21,880
Speaker 1: puncture the tension with a punchline, and the other you

476
00:29:22,720 --> 00:29:26,880
Speaker 1: puncture it with an actual cutting tool in a horror movie.

477
00:29:27,400 --> 00:29:32,520
Speaker 1: I see, with a punch with a knife in your hands.

478
00:29:34,280 --> 00:29:38,040
Speaker 1: Let's move on, let's move on to this is let's

479
00:29:38,080 --> 00:29:41,320
Speaker 1: stay here to a new listical came out Stinkiest Puppies

480
00:29:41,840 --> 00:29:48,960
Speaker 1: and back. I'm going to haunt me. I'm sorry, Jack,

481
00:29:49,000 --> 00:29:52,840
Speaker 1: I just it's haunting. It's very traumatic, I know. But

482
00:29:52,880 --> 00:29:55,080
Speaker 1: and and that's why I feel bad, because that's how

483
00:29:55,160 --> 00:30:04,840
Speaker 1: we're sort of releasing our just overall, like you feel terrible, uh,

484
00:30:05,440 --> 00:30:11,880
Speaker 1: human to human. Yeah, we definitely used names on our

485
00:30:11,960 --> 00:30:14,440
Speaker 1: dogs that we were then, like ship. We should have

486
00:30:14,520 --> 00:30:18,720
Speaker 1: used that for our kids. Uh really, yeah, we do.

487
00:30:19,880 --> 00:30:22,720
Speaker 1: That's a great kid name, dude. Yeah, em was very

488
00:30:22,720 --> 00:30:25,840
Speaker 1: popular right now, we were way ahead of the curve

489
00:30:26,080 --> 00:30:30,080
Speaker 1: on all of these Let's talk about the president. Oh

490
00:30:30,120 --> 00:30:34,480
Speaker 1: my god, his stance towards trans people. Yeah, well, like

491
00:30:34,520 --> 00:30:36,800
Speaker 1: the New York Times, they had an article where they

492
00:30:36,840 --> 00:30:39,160
Speaker 1: basically saw like a draft memo of a rule change

493
00:30:39,160 --> 00:30:42,760
Speaker 1: that they were thinking about proposing in regards for protections

494
00:30:42,800 --> 00:30:46,240
Speaker 1: for transgender people. And what it shows is that the

495
00:30:46,240 --> 00:30:48,960
Speaker 1: White House basically has a plan to just change the

496
00:30:49,040 --> 00:30:52,320
Speaker 1: definition of sex across agencies as being very rigid and

497
00:30:52,400 --> 00:30:56,000
Speaker 1: just as either male or female, unchangeable and determined by

498
00:30:56,000 --> 00:30:59,520
Speaker 1: the genitals that a person is born with subject to

499
00:30:59,600 --> 00:31:03,600
Speaker 1: genetic testing. Like so essentially just trying to be like

500
00:31:03,760 --> 00:31:07,000
Speaker 1: there's no such thing as a transgender person. There isn't.

501
00:31:07,280 --> 00:31:09,200
Speaker 1: And that's what it's kind of doing, is that it's

502
00:31:09,200 --> 00:31:11,640
Speaker 1: just going to uh And like there was an article

503
00:31:11,640 --> 00:31:13,800
Speaker 1: and Think Progress that kind of walks through all of

504
00:31:14,520 --> 00:31:17,680
Speaker 1: the multidimensional attacks on the you know, our trans brothers

505
00:31:17,720 --> 00:31:21,280
Speaker 1: and sisters that they're just trying to codify this transphobia

506
00:31:21,400 --> 00:31:24,120
Speaker 1: across the entire federal government now. So it's not just

507
00:31:24,120 --> 00:31:26,280
Speaker 1: going to be about education or bathrooms. It could affect

508
00:31:26,320 --> 00:31:29,480
Speaker 1: things based on like your healthcare coverage, uh, and other

509
00:31:29,560 --> 00:31:32,080
Speaker 1: things like that. And you know, we already know that

510
00:31:32,080 --> 00:31:34,520
Speaker 1: they're like already have no interest in hearing any kind

511
00:31:34,520 --> 00:31:39,040
Speaker 1: of discrimination cases for students who have brought up these issues. So,

512
00:31:39,200 --> 00:31:41,200
Speaker 1: I mean, this isn't anything that is you know, in

513
00:31:41,360 --> 00:31:44,040
Speaker 1: law or that that is they're attempting yet, But this

514
00:31:44,120 --> 00:31:45,920
Speaker 1: is just showing these are the things that they are

515
00:31:45,960 --> 00:31:49,360
Speaker 1: tossing around as ideas. Because we already saw how he

516
00:31:49,440 --> 00:31:52,280
Speaker 1: was trying to say that the generals are telling him

517
00:31:52,280 --> 00:31:54,840
Speaker 1: that transgender people shouldn't be in the military, but which no,

518
00:31:54,840 --> 00:31:57,440
Speaker 1: none of them were supporting that. Uh So this is

519
00:31:57,440 --> 00:32:00,920
Speaker 1: just part of the the new horrors, uh that this

520
00:32:00,960 --> 00:32:04,600
Speaker 1: administration is trying to perpetuate. And we talked about them

521
00:32:04,800 --> 00:32:07,800
Speaker 1: codifying it across the federal government. That doesn't mean just

522
00:32:07,880 --> 00:32:12,560
Speaker 1: like government positions. That means basically everything everything that the

523
00:32:12,600 --> 00:32:17,320
Speaker 1: government oversees. Yeah, that they will use this rigid definition potentially. Now,

524
00:32:17,360 --> 00:32:19,520
Speaker 1: I mean obviously, you know, groups like the A C.

525
00:32:19,640 --> 00:32:22,000
Speaker 1: L U and all kinds of you know, civil liberties

526
00:32:22,040 --> 00:32:24,440
Speaker 1: groups are just like, uh, we'll sue the ship out

527
00:32:24,480 --> 00:32:27,480
Speaker 1: of the administration, but we'll see how far this goes.

528
00:32:27,520 --> 00:32:29,480
Speaker 1: But then you also think about how they've just been

529
00:32:29,520 --> 00:32:31,960
Speaker 1: packing the courts with people who are just from the

530
00:32:32,000 --> 00:32:34,440
Speaker 1: federal society who are probably gonna if they're trying to

531
00:32:34,560 --> 00:32:37,280
Speaker 1: sue might not have a favorable view of their case,

532
00:32:37,720 --> 00:32:41,720
Speaker 1: So it's just something to keep our eyes on. But yeah,

533
00:32:41,840 --> 00:32:44,960
Speaker 1: it's just absolutely maddening that we're living in a time

534
00:32:45,120 --> 00:32:49,760
Speaker 1: where he gets very uncomfortable by being cornered by the

535
00:32:49,800 --> 00:32:52,600
Speaker 1: media and by actual facts and by the rest of

536
00:32:52,640 --> 00:32:55,000
Speaker 1: the world, and he goes down while he's taking a ship,

537
00:32:55,160 --> 00:32:57,840
Speaker 1: goes down like this list that he just has next

538
00:32:57,880 --> 00:33:00,440
Speaker 1: to his toilet. That's just like, OK, what are the

539
00:33:00,560 --> 00:33:03,920
Speaker 1: things that people kind of wanted me to do? And

540
00:33:04,000 --> 00:33:09,120
Speaker 1: I can just bring up Yeah, in a major way

541
00:33:09,160 --> 00:33:12,080
Speaker 1: to just change the news cycle. Well, they're starting to

542
00:33:12,120 --> 00:33:15,280
Speaker 1: find a way to just basically terrorize these communities of

543
00:33:15,280 --> 00:33:19,760
Speaker 1: whether their minorities or immigrants or LGBTQ people or whoever

544
00:33:20,240 --> 00:33:23,480
Speaker 1: that in these departments, they're finding ways to change the

545
00:33:23,560 --> 00:33:26,880
Speaker 1: rules in little bits that have huge ramifications for those

546
00:33:26,920 --> 00:33:29,760
Speaker 1: groups specifically without people realizing like, well, they didn't change

547
00:33:29,800 --> 00:33:31,680
Speaker 1: the laws or whatever, like no, they're doing it's everything

548
00:33:31,680 --> 00:33:35,800
Speaker 1: has being them piecemeal, And yeah, it's just really disheartening

549
00:33:35,880 --> 00:33:37,920
Speaker 1: to see this happen. But you know, I think that's

550
00:33:37,960 --> 00:33:40,520
Speaker 1: why it's good to have all this reporting come out

551
00:33:40,560 --> 00:33:42,480
Speaker 1: now to understand like what they're trying to do. And

552
00:33:42,560 --> 00:33:45,200
Speaker 1: I think also just with the midterms approaching, this is

553
00:33:45,240 --> 00:33:48,120
Speaker 1: just another little fire that Trump can light in the

554
00:33:48,280 --> 00:33:51,680
Speaker 1: culture wars arena to try and remember like, yep, this

555
00:33:51,760 --> 00:33:54,560
Speaker 1: is what all you hateful people are fighting against or

556
00:33:54,600 --> 00:33:57,840
Speaker 1: for or whatever. So they have found a way to

557
00:33:58,000 --> 00:34:02,760
Speaker 1: weaponize all of our anger, like the left, the right,

558
00:34:02,960 --> 00:34:08,520
Speaker 1: like just everybody's anger. Yeah, whether it's to get yeah,

559
00:34:08,560 --> 00:34:11,239
Speaker 1: to get work on people's anger towards a group on

560
00:34:11,280 --> 00:34:14,440
Speaker 1: the right, to get them to unify their base on

561
00:34:14,480 --> 00:34:17,440
Speaker 1: that level, or then in terms of the left, whatever,

562
00:34:17,560 --> 00:34:20,399
Speaker 1: the moral outrages on the left, and they weaponize that

563
00:34:20,480 --> 00:34:22,279
Speaker 1: to create the narrative of like, well, this is what

564
00:34:22,280 --> 00:34:24,920
Speaker 1: we're up against people who like give a ship. But

565
00:34:25,040 --> 00:34:28,239
Speaker 1: then painting progressives or people who are outraged by this

566
00:34:28,320 --> 00:34:31,399
Speaker 1: is like some kind of mob or just outright like

567
00:34:31,560 --> 00:34:35,160
Speaker 1: creating fundamental lot like just just being outright lying about

568
00:34:35,880 --> 00:34:37,640
Speaker 1: the positions that people on the left are taking or

569
00:34:37,640 --> 00:34:41,640
Speaker 1: what their activities are around it. So, yeah, I think

570
00:34:41,680 --> 00:34:44,799
Speaker 1: it's gonna happen. Anytime you have inequality at the level

571
00:34:44,800 --> 00:34:49,359
Speaker 1: that we have inequality in the United States, there's going

572
00:34:49,400 --> 00:34:52,520
Speaker 1: to be a danger of this sort of you know,

573
00:34:52,600 --> 00:34:59,000
Speaker 1: authoritarian like playing on the misery of part of the population.

574
00:34:59,239 --> 00:35:01,960
Speaker 1: And you know that misery is not always going to

575
00:35:02,000 --> 00:35:06,760
Speaker 1: be directed at the rational people. It can be manipulated,

576
00:35:06,880 --> 00:35:11,600
Speaker 1: it can be turned into racism. And yeah, I just

577
00:35:11,640 --> 00:35:16,600
Speaker 1: say in general, anytime your policy requires genetic testing, that

578
00:35:16,719 --> 00:35:22,080
Speaker 1: you're probably doing the wrong thing. What a sound bite. Hey,

579
00:35:22,080 --> 00:35:25,360
Speaker 1: thank you, I appreciate you know, there's something like so

580
00:35:26,320 --> 00:35:31,400
Speaker 1: unarguable about that. Liked well, I think it's arguable on

581
00:35:31,440 --> 00:35:35,279
Speaker 1: their side because they seem to you know, Trump got

582
00:35:35,360 --> 00:35:39,680
Speaker 1: Elizabeth Warren to take a genetic test, and you know

583
00:35:39,800 --> 00:35:42,520
Speaker 1: that is problematic for its own reasons. And now they

584
00:35:42,520 --> 00:35:45,279
Speaker 1: want to make genetic testing a part of Yeah, and

585
00:35:45,320 --> 00:35:48,400
Speaker 1: then what would they do with like intersex people, because

586
00:35:48,840 --> 00:35:52,040
Speaker 1: they're not going to basically be like you wouldn't definitively

587
00:35:52,080 --> 00:35:55,200
Speaker 1: say oh, this person falls into this category by their

588
00:35:55,320 --> 00:35:58,680
Speaker 1: very rigid definition either, right, But again, this is just

589
00:35:58,719 --> 00:36:01,080
Speaker 1: sort of part of their game and to inflict as

590
00:36:01,160 --> 00:36:04,239
Speaker 1: much you know, chaos and pain upon people. You know,

591
00:36:04,280 --> 00:36:07,120
Speaker 1: it's nice though, I tore a lot. I'm on the

592
00:36:07,200 --> 00:36:10,760
Speaker 1: road a lot, and I see a lot of havens

593
00:36:10,880 --> 00:36:15,160
Speaker 1: for um, for trans people where it is just not

594
00:36:16,120 --> 00:36:20,040
Speaker 1: a I don't think that that necessarily fixes the bigger problem.

595
00:36:20,239 --> 00:36:23,799
Speaker 1: But what is nice is that I see on a

596
00:36:23,880 --> 00:36:28,040
Speaker 1: smaller scale there are places that that trans people can

597
00:36:28,760 --> 00:36:33,879
Speaker 1: exist without without anyone even wondering, without anyone even think.

598
00:36:33,960 --> 00:36:36,320
Speaker 1: I think that's like what's been so cool and seeing

599
00:36:36,360 --> 00:36:39,719
Speaker 1: these places, one specifically as Portland, like it's I mean,

600
00:36:39,760 --> 00:36:44,920
Speaker 1: obviously that's the stereotype of Portland. It's that it's you know,

601
00:36:45,040 --> 00:36:48,759
Speaker 1: safe for everyone, but um, but it's nice to see

602
00:36:48,760 --> 00:36:50,919
Speaker 1: that like, oh, no one, this is not no one's

603
00:36:50,960 --> 00:36:54,279
Speaker 1: even looking twice and yeah, but I think there are

604
00:36:54,320 --> 00:36:56,520
Speaker 1: just as many places where it's very difficult too, And

605
00:36:56,560 --> 00:36:58,680
Speaker 1: I think when you have ship like this though too,

606
00:36:58,719 --> 00:37:01,839
Speaker 1: it's it's it's one reason why I think even if

607
00:37:02,040 --> 00:37:04,160
Speaker 1: you know, I think most people do have someone in

608
00:37:04,200 --> 00:37:06,560
Speaker 1: their life that belongs to the LGBTQ community in some

609
00:37:06,600 --> 00:37:09,719
Speaker 1: way that us as just reasonable human beings have to

610
00:37:09,840 --> 00:37:13,040
Speaker 1: understand what is at stake for them and what you know,

611
00:37:13,239 --> 00:37:16,279
Speaker 1: essentially our tax dollars are going to also to like

612
00:37:16,480 --> 00:37:19,320
Speaker 1: if if they're really trying to make this move against

613
00:37:19,360 --> 00:37:23,560
Speaker 1: these people, because that uh, it's it's just fucking it's violent. Guys,

614
00:37:23,600 --> 00:37:26,240
Speaker 1: You guys a question, do you think it would be

615
00:37:27,000 --> 00:37:34,440
Speaker 1: like plausible at all. Two sued Trump for um like

616
00:37:34,560 --> 00:37:42,319
Speaker 1: emotional medical issues like mental health hurting. I don't know,

617
00:37:42,640 --> 00:37:44,799
Speaker 1: we would have to it would be such a specific

618
00:37:45,440 --> 00:37:47,000
Speaker 1: I don't know. I don't know. I'm not a lawyer,

619
00:37:47,080 --> 00:37:52,120
Speaker 1: but you, guys lawyers for the purpose of this speculation, Yes,

620
00:37:52,160 --> 00:37:54,680
Speaker 1: I am uh, and I would take the case. But yeah,

621
00:37:54,680 --> 00:37:56,320
Speaker 1: I mean, I don't know. I mean I I'd imagine

622
00:37:56,360 --> 00:37:58,640
Speaker 1: that it would be a class action lawsuit with about

623
00:37:58,920 --> 00:38:01,960
Speaker 1: fifty six percent of the country. Doesn't feel like it

624
00:38:02,040 --> 00:38:05,520
Speaker 1: would be. Yeah, but what are you doing for UM

625
00:38:05,719 --> 00:38:09,960
Speaker 1: for I think that you could tangibly draw a line

626
00:38:10,040 --> 00:38:18,280
Speaker 1: between like stress, anxiety medical issues stemming from like trauma. Okay,

627
00:38:18,520 --> 00:38:20,880
Speaker 1: I think there's well this is why we need in

628
00:38:20,920 --> 00:38:24,080
Speaker 1: house counsel. As we record the show, it sounds like

629
00:38:24,160 --> 00:38:25,640
Speaker 1: the sort of thing that might go all the way

630
00:38:25,719 --> 00:38:27,880
Speaker 1: up to the Supreme Court, and we know they'd have

631
00:38:27,880 --> 00:38:31,239
Speaker 1: our back. So yeah, well, now that they've really they

632
00:38:31,280 --> 00:38:35,520
Speaker 1: pulled off to the Great Switcher rou sad the Supreme

633
00:38:35,520 --> 00:38:39,200
Speaker 1: Court takes manhead. But yeah, again, guys, that's why be

634
00:38:39,320 --> 00:38:43,120
Speaker 1: voting out there, be voting every time, be aware of everything.

635
00:38:43,120 --> 00:38:45,200
Speaker 1: Don't let this sneak up on you, because it starts

636
00:38:45,200 --> 00:38:48,080
Speaker 1: with small groups like this, and it works your way up,

637
00:38:48,360 --> 00:38:50,719
Speaker 1: works your way on up to your like. Oh ship,

638
00:38:50,960 --> 00:38:53,440
Speaker 1: I'm in the crosshairs now too. It's so weird that

639
00:38:53,480 --> 00:38:58,879
Speaker 1: he's against trans people when he's trans demon. Wow, that's

640
00:38:58,920 --> 00:39:01,160
Speaker 1: my heart. Take let him hot take. All right, we're

641
00:39:01,160 --> 00:39:13,319
Speaker 1: gonna take another quick break. We'll be right back, and

642
00:39:13,440 --> 00:39:16,400
Speaker 1: we're back, man. Just so you guys know, they're taking

643
00:39:16,480 --> 00:39:20,480
Speaker 1: the opportunity during the break to continue to make I

644
00:39:20,520 --> 00:39:25,640
Speaker 1: didn't do anything. Mouth words to my mouthing words. We're

645
00:39:25,680 --> 00:39:28,879
Speaker 1: moving past. We're just very hurtful. I'm sorry. It's we're

646
00:39:28,920 --> 00:39:31,120
Speaker 1: going through a lot right now. Chipotle is bringing back,

647
00:39:31,239 --> 00:39:34,799
Speaker 1: thank god, burrito. I'm having a hell of a time

648
00:39:34,840 --> 00:39:39,600
Speaker 1: with boob Burrito. Just you did say Brita. It's just

649
00:39:39,640 --> 00:39:47,440
Speaker 1: a great name. Um well, if you wear a costume

650
00:39:47,800 --> 00:39:50,799
Speaker 1: to h Potle, you can grab a burrito for four

651
00:39:50,880 --> 00:39:58,000
Speaker 1: dollars on Halloween over on hell. Yeah, So Miles, you

652
00:39:58,000 --> 00:40:01,000
Speaker 1: were asking the question, let's the least you could do

653
00:40:01,080 --> 00:40:04,080
Speaker 1: to get this motherfucker discount? What's the least? Now do

654
00:40:04,160 --> 00:40:06,680
Speaker 1: you go in and just wear one wacky thing like

655
00:40:06,719 --> 00:40:09,319
Speaker 1: I got cowboy boots on. I'm a cowboy, or do

656
00:40:09,400 --> 00:40:12,520
Speaker 1: you do something more like philosophical or you're like I

657
00:40:12,600 --> 00:40:16,480
Speaker 1: am the ID or some ship whatever and be like

658
00:40:16,600 --> 00:40:19,440
Speaker 1: this is actually costume and then we're that's so this

659
00:40:19,600 --> 00:40:21,279
Speaker 1: This just got me thinking because on the take out

660
00:40:21,280 --> 00:40:22,960
Speaker 1: there writing about it, and they're like they felt they

661
00:40:23,000 --> 00:40:26,080
Speaker 1: had guidelines if you were a person working at a

662
00:40:26,160 --> 00:40:29,200
Speaker 1: Chipotle on like what would constitute a costume of what

663
00:40:29,320 --> 00:40:33,120
Speaker 1: doesn't what? It was like it made sense like if

664
00:40:33,120 --> 00:40:35,840
Speaker 1: you have like a baseball jersey on and a glove,

665
00:40:36,000 --> 00:40:38,960
Speaker 1: you gott admit too, Okay, that could be that could

666
00:40:38,960 --> 00:40:41,680
Speaker 1: be a costume. But that's just what I rocked to work. Yeah,

667
00:40:41,760 --> 00:40:44,799
Speaker 1: I know, but that's that's your arrested development though. Uh

668
00:40:44,840 --> 00:40:48,040
Speaker 1: and then or a bedsheet ghost, maybe a wig. But

669
00:40:48,080 --> 00:40:51,480
Speaker 1: then they say, what's not a costume? A college T shirt? Okay,

670
00:40:51,520 --> 00:40:54,480
Speaker 1: obviously a flannel shirt. I guess you could just be like,

671
00:40:54,480 --> 00:40:57,239
Speaker 1: I'm a lumberjack. So I have a couple flannel shirt

672
00:40:57,320 --> 00:41:00,640
Speaker 1: questions for you? So what on there still in you? Are?

673
00:41:02,440 --> 00:41:05,120
Speaker 1: Is it still cool if I wear these? How does

674
00:41:05,160 --> 00:41:09,319
Speaker 1: it look tied around my waist? Uh? No? So some

675
00:41:09,360 --> 00:41:11,400
Speaker 1: of the ideas that people are putting out there for

676
00:41:11,520 --> 00:41:15,279
Speaker 1: costumes involved flannel shirts, like, for instance, one that I've

677
00:41:15,360 --> 00:41:17,920
Speaker 1: talked about in the past is just going as Marty

678
00:41:17,960 --> 00:41:20,360
Speaker 1: from Back to the Future, which is just a flannel

679
00:41:20,400 --> 00:41:22,560
Speaker 1: shirt with an orange vest over it. So you do

680
00:41:22,680 --> 00:41:24,960
Speaker 1: need the orange vest if you have the orange. I

681
00:41:24,960 --> 00:41:28,080
Speaker 1: think that makes sense that would I would be like, oh,

682
00:41:28,120 --> 00:41:31,879
Speaker 1: that's the McFly yeah, and then you couldn't need Yeah,

683
00:41:32,200 --> 00:41:34,880
Speaker 1: that's an easy one. So let's give people some easy

684
00:41:35,160 --> 00:41:38,040
Speaker 1: costume ideas that they can rock to Chipotle just using

685
00:41:38,040 --> 00:41:40,839
Speaker 1: ship they have in there. In there, just where all

686
00:41:40,880 --> 00:41:45,040
Speaker 1: black is say you're anti there you go boom, distracted

687
00:41:45,080 --> 00:41:48,359
Speaker 1: boyfriend meme, just a blue plaid shirt and short hair,

688
00:41:48,719 --> 00:41:51,960
Speaker 1: and then just be looking behind you be like, but

689
00:41:52,040 --> 00:41:53,640
Speaker 1: that would be so funny that like, I'm sorry, what's

690
00:41:53,640 --> 00:41:55,279
Speaker 1: your costume? And you got to hold the picture ups

691
00:41:55,320 --> 00:41:58,000
Speaker 1: You're like, I'm this guy right the post. But yeah,

692
00:41:58,040 --> 00:42:00,480
Speaker 1: I'm like, I'm breaking my neck to look the other bird.

693
00:42:00,600 --> 00:42:03,439
Speaker 1: A good couple's costume as well, I think just put

694
00:42:03,480 --> 00:42:07,040
Speaker 1: on some gloves and ask them if they would like

695
00:42:07,080 --> 00:42:17,239
Speaker 1: a burrito or a bull that's good. Yeah, yeah, just

696
00:42:17,320 --> 00:42:22,440
Speaker 1: black T shirt yeah, um, he addresses me and just

697
00:42:22,480 --> 00:42:26,319
Speaker 1: say you're miles from the Daily's like it would be

698
00:42:26,320 --> 00:42:28,839
Speaker 1: fun though if they were like Okay, oh cool, Yeah,

699
00:42:28,880 --> 00:42:30,360
Speaker 1: I love it. I'm like getting too. You know what,

700
00:42:30,400 --> 00:42:32,480
Speaker 1: that's free? You know what this squawk is free? Yeah,

701
00:42:33,320 --> 00:42:36,560
Speaker 1: let me take care of that other four dollars? Right

702
00:42:37,000 --> 00:42:40,120
Speaker 1: That Gua Morty from Rick and Morty is just a

703
00:42:40,200 --> 00:42:43,839
Speaker 1: yellow T shirt and blue shorts. I think, um, Laura

704
00:42:43,920 --> 00:42:50,359
Speaker 1: Croft tank top, bow and arrow, maybe be hot and smoking?

705
00:42:50,520 --> 00:42:54,560
Speaker 1: Are you gonna be anything? Folloween? Um, I am still

706
00:42:54,640 --> 00:42:59,080
Speaker 1: considering it. Every year I do the thing where I'm

707
00:42:59,080 --> 00:43:00,920
Speaker 1: like I don't care than the day before I'm like,

708
00:43:01,000 --> 00:43:05,120
Speaker 1: I care so much, and then I like, you know,

709
00:43:05,320 --> 00:43:10,759
Speaker 1: spend I really fucking stress out and spend the whole time. Um.

710
00:43:10,800 --> 00:43:15,319
Speaker 1: My greatest last minute panic costume in the past few

711
00:43:15,400 --> 00:43:19,520
Speaker 1: years was absolutely poison Ivy. No no, no, no, no, no,

712
00:43:19,520 --> 00:43:28,920
Speaker 1: no no, no. Nobody's saying what it was. Okay, okay, okay.

713
00:43:28,960 --> 00:43:34,040
Speaker 1: It was actually a power plant and it was a

714
00:43:34,120 --> 00:43:36,560
Speaker 1: white power suit which looked amazing on me. And I

715
00:43:36,600 --> 00:43:40,040
Speaker 1: don't know where it went um with Ivy pinned all

716
00:43:40,080 --> 00:43:45,399
Speaker 1: over it power plant, So that's an important lesson. Is Like,

717
00:43:45,960 --> 00:43:48,600
Speaker 1: my best costume ever was that I dressed it up

718
00:43:48,640 --> 00:43:51,239
Speaker 1: like magnum p. I grew a mustache. And then when

719
00:43:51,239 --> 00:43:53,400
Speaker 1: people are like you look amazing, No, they were like,

720
00:43:53,440 --> 00:43:56,480
Speaker 1: you look like the pervert from something about Mary, and

721
00:43:56,520 --> 00:43:59,640
Speaker 1: I was like, yeah, that's what I am. And then

722
00:44:00,160 --> 00:44:01,960
Speaker 1: and it was a really good costume. And I do

723
00:44:02,040 --> 00:44:03,839
Speaker 1: look like what you look like Pat healely, I look

724
00:44:03,920 --> 00:44:07,440
Speaker 1: like Pat Healy with a mustache, Matt Dylan's greatest performance. Yeah,

725
00:44:07,680 --> 00:44:10,520
Speaker 1: so go with what you have. Yeah, just like or

726
00:44:10,800 --> 00:44:13,239
Speaker 1: can you improvise? Right? Because I'd imagine if I was

727
00:44:13,600 --> 00:44:15,920
Speaker 1: you know, wait, I don't have to imagine I'm a

728
00:44:16,000 --> 00:44:18,680
Speaker 1: scummy stoner dude. If I would be like, oh ship,

729
00:44:18,800 --> 00:44:20,719
Speaker 1: it's holloween, what could I would just look around my

730
00:44:20,760 --> 00:44:24,200
Speaker 1: car like what could? I will put like a Lacroix

731
00:44:24,280 --> 00:44:26,320
Speaker 1: can on my head, yeah, and I'd be like I

732
00:44:26,480 --> 00:44:32,240
Speaker 1: just walk up balancing like I'm Lacroix head it to. Okay,

733
00:44:32,280 --> 00:44:35,719
Speaker 1: this is a good time to mention. Maybe you use

734
00:44:35,840 --> 00:44:39,120
Speaker 1: the this some bullshit scale. Okay, Now, if you're imagine

735
00:44:39,160 --> 00:44:43,720
Speaker 1: you're working at Chipotle. Yea, Now imagine some idiot comes

736
00:44:43,800 --> 00:44:48,160
Speaker 1: up and just imagine what would make you say this

737
00:44:48,320 --> 00:44:51,759
Speaker 1: some bullshit? Okay. Now, if some idiot comes up with

738
00:44:51,840 --> 00:44:54,800
Speaker 1: a low KROI can on his head and he's clearly

739
00:44:54,880 --> 00:44:58,400
Speaker 1: high or not, but looks high. Um, and he's like,

740
00:44:58,440 --> 00:45:01,600
Speaker 1: I'm a little that's some bull ship, you know. Don't

741
00:45:01,640 --> 00:45:05,400
Speaker 1: make them okay, this is going to be their Black Friday,

742
00:45:05,640 --> 00:45:08,960
Speaker 1: right because they got to figure it out. Treat them okay,

743
00:45:09,280 --> 00:45:13,400
Speaker 1: oh shit out, you know, get in there and delight

744
00:45:13,480 --> 00:45:17,560
Speaker 1: them with your creativity and your physical pun What if

745
00:45:17,600 --> 00:45:19,880
Speaker 1: it's so bullshit though, they're like this some bullshit, but

746
00:45:20,160 --> 00:45:22,719
Speaker 1: it's so bullshit. I respect the huns. You gotta go

747
00:45:22,800 --> 00:45:25,279
Speaker 1: hard on the bullshit that. Yeah, I do feel like

748
00:45:25,320 --> 00:45:28,040
Speaker 1: they're going to be seeing a lot of bullshit. The

749
00:45:28,719 --> 00:45:31,600
Speaker 1: bullshit is going to have to be so high and

750
00:45:31,920 --> 00:45:35,800
Speaker 1: just adorable that they better dress up as a big

751
00:45:35,840 --> 00:45:40,839
Speaker 1: brown box box that smells bad because there's a bunch

752
00:45:40,840 --> 00:45:46,080
Speaker 1: of emmas in it. But you're also wearing a cow head,

753
00:45:46,280 --> 00:45:49,680
Speaker 1: and that's some bullshit, you know, right, Why are you

754
00:45:49,680 --> 00:45:54,480
Speaker 1: wearing a cow head? Because it's some bulls bullshit? Got it?

755
00:45:54,719 --> 00:45:59,319
Speaker 1: Cows are bulls, yep, Cows are bulls with titties. What

756
00:45:59,400 --> 00:46:03,080
Speaker 1: if Okay, I'm trying to think of what else. If

757
00:46:03,120 --> 00:46:05,200
Speaker 1: I've had a stack of magazines like this, just like

758
00:46:05,320 --> 00:46:06,799
Speaker 1: all the boys we have in the office, and I

759
00:46:06,920 --> 00:46:09,080
Speaker 1: just say, I'm a dude who works at a new stand.

760
00:46:09,360 --> 00:46:14,320
Speaker 1: But one extra step tape the tape them to your body,

761
00:46:14,600 --> 00:46:17,160
Speaker 1: call yourself a news stand. I think that's fun. You know,

762
00:46:17,600 --> 00:46:20,080
Speaker 1: it's some bullshit, but it's fun. It just takes a

763
00:46:20,200 --> 00:46:25,000
Speaker 1: little bit of like, oh, that's right, magazines they did something.

764
00:46:25,120 --> 00:46:27,600
Speaker 1: What's the thing that they wouldn't be wearing those magazines

765
00:46:27,680 --> 00:46:30,799
Speaker 1: on themselves if it wasn't Halloween, because I'm thinking, like,

766
00:46:30,840 --> 00:46:32,480
Speaker 1: you know, like what's the point? You know, like how

767
00:46:32,560 --> 00:46:34,959
Speaker 1: Jim in the office used to phone it in every

768
00:46:35,000 --> 00:46:37,560
Speaker 1: Halloween episode and like one time he just wore a

769
00:46:37,640 --> 00:46:40,120
Speaker 1: name tag that was like like Dave and he's like,

770
00:46:40,120 --> 00:46:45,040
Speaker 1: what's your costumes? Like I'm Dave? Right, No, that's some

771
00:46:45,239 --> 00:46:48,640
Speaker 1: that's official, some official bul A good use of a

772
00:46:48,719 --> 00:46:52,160
Speaker 1: name tag that I saw on what was it? Pinterest?

773
00:46:52,200 --> 00:46:58,160
Speaker 1: I think is that good for just half ast clever

774
00:46:58,280 --> 00:47:01,760
Speaker 1: ideas for Halloween customs with a little kid in a

775
00:47:01,800 --> 00:47:06,600
Speaker 1: red polo and like white like very light chinos with

776
00:47:06,640 --> 00:47:10,040
Speaker 1: a name tag that said Jake from State Farm because

777
00:47:10,400 --> 00:47:13,359
Speaker 1: that's what the State Farm agents wearing those commercials. Yeah,

778
00:47:13,520 --> 00:47:15,359
Speaker 1: or best by employee if you've got the Royal blue

779
00:47:15,400 --> 00:47:18,480
Speaker 1: hoodie or polo on. Yeah, okay, yeah, there you go.

780
00:47:18,680 --> 00:47:21,200
Speaker 1: Boyfriend really wants to dress up my dog. Is the

781
00:47:21,239 --> 00:47:27,440
Speaker 1: best Buy employee's right now? Yeah, she would not be

782
00:47:27,600 --> 00:47:29,920
Speaker 1: very helpful. I know she's just ripped hands. Actually, that

783
00:47:30,040 --> 00:47:34,319
Speaker 1: is how best By employees are. So I was at

784
00:47:34,320 --> 00:47:36,319
Speaker 1: the best Buy and I was just looking for a

785
00:47:36,320 --> 00:47:39,120
Speaker 1: tiny battery, like for a garage door opener, like one

786
00:47:39,120 --> 00:47:42,279
Speaker 1: of those flat watch batteries. Oh that's hopeless. Three motherfucker's

787
00:47:42,280 --> 00:47:45,080
Speaker 1: did not know where the batteries because I went, Yeah,

788
00:47:45,120 --> 00:47:46,840
Speaker 1: I went in, well, where your batteries that and he's like,

789
00:47:47,600 --> 00:47:50,839
Speaker 1: go ahead and go pros and I go and I'm like, yo,

790
00:47:50,880 --> 00:47:53,359
Speaker 1: there's not even a fucking go pro battery over your

791
00:47:53,480 --> 00:47:54,920
Speaker 1: So then, as a person in the camera far, I

792
00:47:54,960 --> 00:47:57,960
Speaker 1: go where the batteries at and again they're like I

793
00:47:58,000 --> 00:48:00,440
Speaker 1: think I always see him, like on the way to

794
00:48:00,480 --> 00:48:02,640
Speaker 1: the register, but when you go it's just like the

795
00:48:02,680 --> 00:48:05,120
Speaker 1: impulse by section where it's like a nine vote or

796
00:48:05,120 --> 00:48:07,239
Speaker 1: a triple a battery. And then I had to be

797
00:48:07,280 --> 00:48:09,040
Speaker 1: like I had to get to something like the oldest

798
00:48:09,120 --> 00:48:11,600
Speaker 1: person who just had some sense in them. I said

799
00:48:12,280 --> 00:48:15,560
Speaker 1: a throne. Yeah, he's like, I am Serby of Bestly,

800
00:48:16,120 --> 00:48:18,040
Speaker 1: what how may I help you? And I said, where

801
00:48:18,040 --> 00:48:19,600
Speaker 1: are the fucking batteries at my man? He's like and

802
00:48:19,600 --> 00:48:24,160
Speaker 1: then he actually showed me they He pointed very clearly.

803
00:48:24,160 --> 00:48:25,880
Speaker 1: That was like you see that yellow thing is under

804
00:48:25,880 --> 00:48:27,400
Speaker 1: theneath there, and he's like, but I'm just gonna let

805
00:48:27,440 --> 00:48:29,160
Speaker 1: you know, we don't have as many batteries as you

806
00:48:29,200 --> 00:48:31,000
Speaker 1: think the best Buy would have. And I was like, wow,

807
00:48:31,040 --> 00:48:33,880
Speaker 1: you're honest. Then I had to go to Target and

808
00:48:33,920 --> 00:48:36,160
Speaker 1: they had it was the yellow thing that the batteries

809
00:48:36,200 --> 00:48:39,440
Speaker 1: under a sign that said batteries on it. It was okay, yeah, well,

810
00:48:40,000 --> 00:48:43,399
Speaker 1: in fact, radio Shack doesn't have DVD players. In fact,

811
00:48:43,440 --> 00:48:47,520
Speaker 1: how many radio sexs are you even still open? But

812
00:48:51,440 --> 00:48:55,560
Speaker 1: uber eats has set the year twenty twenty one, the

813
00:48:55,640 --> 00:48:59,439
Speaker 1: year of our Lord, as their target for drone delivery. Yeah,

814
00:48:59,440 --> 00:49:01,520
Speaker 1: they sucked. There was like a job listing that was

815
00:49:01,560 --> 00:49:03,319
Speaker 1: basically saying like, hey, we're looking for somebody to get

816
00:49:03,360 --> 00:49:05,920
Speaker 1: like our drone delivery service up and running by one,

817
00:49:06,000 --> 00:49:07,680
Speaker 1: and then when they ask for a comment, they like

818
00:49:07,719 --> 00:49:09,000
Speaker 1: pulled the post and they're like, you know what you're

819
00:49:09,000 --> 00:49:13,160
Speaker 1: talking about. But I guess I feel like uber eats

820
00:49:13,200 --> 00:49:15,400
Speaker 1: delivery would be one of the last things. But I

821
00:49:15,440 --> 00:49:17,799
Speaker 1: guess with all these kinds of technologies, it takes things

822
00:49:17,800 --> 00:49:22,719
Speaker 1: like uber eats to get like full scale automated delivery

823
00:49:22,719 --> 00:49:25,759
Speaker 1: ship to happen for the masses. But part of me

824
00:49:26,480 --> 00:49:29,080
Speaker 1: it excites me because I'm like, Wow, that's like future

825
00:49:29,080 --> 00:49:31,359
Speaker 1: ship I thought of as a kid or whatever is happening.

826
00:49:31,400 --> 00:49:33,759
Speaker 1: And part of me is also like, yo, wow, we're

827
00:49:33,760 --> 00:49:36,160
Speaker 1: really about to have drones just dropping shipped off at

828
00:49:36,160 --> 00:49:39,720
Speaker 1: your house now. Yeah, I'm old. I think the only

829
00:49:39,840 --> 00:49:43,360
Speaker 1: thing that I like about that is that it's the

830
00:49:43,400 --> 00:49:46,640
Speaker 1: carbon footprint is way lower. Like, I think it's super

831
00:49:46,680 --> 00:49:49,920
Speaker 1: fucked up how much we're all ordering all the time

832
00:49:50,600 --> 00:49:55,040
Speaker 1: and how much gas is going into that. But besides that,

833
00:49:55,239 --> 00:49:58,960
Speaker 1: it's absolutely horrible for jobs. What are we doing? What

834
00:49:58,960 --> 00:50:02,719
Speaker 1: are we doing? Drone sound like lawnmowers, so that they

835
00:50:03,520 --> 00:50:06,239
Speaker 1: oh they're loud. Yeah, have you heard a drone? Yeah?

836
00:50:06,280 --> 00:50:09,279
Speaker 1: But like the cute little ones, well they're usually they're

837
00:50:09,280 --> 00:50:15,240
Speaker 1: far enough, they're just buzz. Yeah, we are killing it.

838
00:50:16,239 --> 00:50:20,600
Speaker 1: But I also a nervous drone. Nervous drone who's at

839
00:50:20,640 --> 00:50:23,120
Speaker 1: a salad bar where you think the dressing has gone Dad,

840
00:50:24,400 --> 00:50:34,799
Speaker 1: that smells like, oh my goodness, Um he's uh you hurt?

841
00:50:37,200 --> 00:50:40,000
Speaker 1: You see Jack, I hurt my arm? Are you okay?

842
00:50:40,080 --> 00:50:44,399
Speaker 1: Your bat's broken? Oh yeah. But drones, Yeah, they're gonna

843
00:50:44,400 --> 00:50:46,840
Speaker 1: take jobs. They're gonna take our jobs. Like is the

844
00:50:46,880 --> 00:50:49,680
Speaker 1: world gonna is every apartment an apartment building going to

845
00:50:49,760 --> 00:50:52,920
Speaker 1: have to have like a drone landing place right in

846
00:50:52,960 --> 00:50:58,359
Speaker 1: the future, like everything different. Safety. We'll wait till one

847
00:50:58,360 --> 00:51:01,040
Speaker 1: of these fucking drones really has something shitty thing happened

848
00:51:01,040 --> 00:51:03,600
Speaker 1: and like knocks down power lines, cause a fire or

849
00:51:03,600 --> 00:51:05,400
Speaker 1: some ship. Well, all that needs to do is following

850
00:51:05,440 --> 00:51:09,520
Speaker 1: you from a high height and that'll like injure the

851
00:51:09,520 --> 00:51:11,719
Speaker 1: ship out of somebody. They're pretty head. I don't think

852
00:51:11,760 --> 00:51:15,839
Speaker 1: that's great for like the food staying warm. You know,

853
00:51:15,920 --> 00:51:18,279
Speaker 1: like a lot of food already doesn't travel well. I

854
00:51:18,320 --> 00:51:25,080
Speaker 1: don't enter entering the atmosphere. It just goes into the

855
00:51:25,120 --> 00:51:27,680
Speaker 1: upper atmosphere and it comes down. That's how they do it, right,

856
00:51:27,800 --> 00:51:31,120
Speaker 1: Oh yeah, yeah, it'll be a balloon, right, and just

857
00:51:31,160 --> 00:51:32,719
Speaker 1: hope the wind takes it to the right place and

858
00:51:32,760 --> 00:51:37,000
Speaker 1: it hits space pops, you know, at least at the

859
00:51:37,080 --> 00:51:39,880
Speaker 1: very least that people will not eat your ship. Yes,

860
00:51:40,000 --> 00:51:42,919
Speaker 1: And there are times when I know the dude has

861
00:51:43,040 --> 00:51:45,960
Speaker 1: eaten something fries I could tell. I don't know, have

862
00:51:46,000 --> 00:51:47,960
Speaker 1: a fucking I don't know if I'm just always paranoid

863
00:51:48,080 --> 00:51:51,120
Speaker 1: by my fries, but sometimes I felt like I could tell.

864
00:51:51,160 --> 00:51:53,399
Speaker 1: It was like a like a wild handful of light.

865
00:51:53,840 --> 00:51:55,279
Speaker 1: I feel like that's just me. I feel like the

866
00:51:55,320 --> 00:51:58,680
Speaker 1: meal delivery services are like they're not good enough to

867
00:51:58,719 --> 00:52:02,160
Speaker 1: be sustainable at this point, Like they're they're a cool idea,

868
00:52:02,239 --> 00:52:05,360
Speaker 1: but I just don't think that they like they don't work. Really,

869
00:52:06,200 --> 00:52:07,960
Speaker 1: Why do you say that? Just like you get the

870
00:52:08,000 --> 00:52:10,279
Speaker 1: wrong stuff a lot, they funk up a lot, and

871
00:52:10,320 --> 00:52:12,640
Speaker 1: then they're just like sorry, we can't do anything about that.

872
00:52:12,920 --> 00:52:16,840
Speaker 1: Almost Yeah, how does the the pricing work? Like is

873
00:52:16,880 --> 00:52:20,080
Speaker 1: it even sustainable as a delivery person? Like how many?

874
00:52:20,120 --> 00:52:23,400
Speaker 1: How many deliveries do you have to do realistically to

875
00:52:23,480 --> 00:52:27,440
Speaker 1: make that a viable thing? No one's making real money, right,

876
00:52:27,520 --> 00:52:29,279
Speaker 1: yeah right? Everyone is just sort of yeah, just sort

877
00:52:29,280 --> 00:52:34,640
Speaker 1: of making the gig economy, which just means the economy

878
00:52:34,680 --> 00:52:38,120
Speaker 1: where we don't have to pay people what a living way?

879
00:52:38,560 --> 00:52:43,479
Speaker 1: You can't be seriously not gonna do this forever? Right economy. Uh, sorry,

880
00:52:43,520 --> 00:52:45,399
Speaker 1: we're not. We're gonna limit your options so you only

881
00:52:45,440 --> 00:52:50,480
Speaker 1: have these couple of options anyway, So it's a trap.

882
00:52:51,040 --> 00:52:54,560
Speaker 1: But back to how like the landscape will be different

883
00:52:54,600 --> 00:52:58,120
Speaker 1: with when everything is being delivered by drones. So the

884
00:52:58,160 --> 00:53:02,120
Speaker 1: Empire State Buildings design was based on the idea that

885
00:53:02,160 --> 00:53:05,839
Speaker 1: it would be a blimp airport. Basically it would be

886
00:53:05,880 --> 00:53:10,279
Speaker 1: like a blimp doc where people would blimpoper It does

887
00:53:10,320 --> 00:53:12,160
Speaker 1: look like a blimp. Wait that you would just tether

888
00:53:12,280 --> 00:53:14,280
Speaker 1: this ship to like to the top of the Empire

889
00:53:14,320 --> 00:53:17,560
Speaker 1: State Building. Yeah, what a dumb fucking I know. And

890
00:53:17,560 --> 00:53:20,360
Speaker 1: I thought everybody was gonna be traveling on blimps like that.

891
00:53:20,480 --> 00:53:22,840
Speaker 1: We would. Well, I took the blimp to work today,

892
00:53:22,880 --> 00:53:27,080
Speaker 1: and industry I think that really hurts. I'm just really

893
00:53:27,080 --> 00:53:29,360
Speaker 1: didn't see that coming at all. I know. I would

894
00:53:29,360 --> 00:53:32,400
Speaker 1: watch a like a period comedy about the two guys

895
00:53:32,400 --> 00:53:35,879
Speaker 1: who were like hustling the Zeppelin game in Europe back

896
00:53:36,000 --> 00:53:39,160
Speaker 1: then the future the Empire State Building is going to

897
00:53:39,200 --> 00:53:42,000
Speaker 1: be a blimpport and then like the Hindenburg has and

898
00:53:42,000 --> 00:53:46,520
Speaker 1: they're like, oh, were there people in the Hindenburg. Yeah,

899
00:53:46,840 --> 00:53:51,319
Speaker 1: you can actually see them like jumping out okay, anything else, No,

900
00:53:51,400 --> 00:53:53,759
Speaker 1: you're not into that, just morbid dog stuff. I just

901
00:53:53,800 --> 00:53:55,759
Speaker 1: really wanted to just like to make fun of my

902
00:53:55,840 --> 00:54:03,600
Speaker 1: beloved have a joke in there. All right, Well, Marlene,

903
00:54:03,640 --> 00:54:05,680
Speaker 1: I wish I could say it's been a pleasure having you.

904
00:54:05,760 --> 00:54:09,439
Speaker 1: It has not. You have hurt my feelings. I feel

905
00:54:09,480 --> 00:54:12,279
Speaker 1: closer to you though. Good. Well, now we know how

906
00:54:12,320 --> 00:54:18,160
Speaker 1: to make him pry. Marlena, where can people find you?

907
00:54:18,320 --> 00:54:22,080
Speaker 1: I'm sorry we have crossed lines. Um, I am on

908
00:54:22,120 --> 00:54:26,440
Speaker 1: Twitter at Marlena Rodrigue because I'm also on Instagram Marlena

909
00:54:26,560 --> 00:54:30,640
Speaker 1: got a life? Uh, listen to my podcast. It's called

910
00:54:30,800 --> 00:54:35,279
Speaker 1: What Would My Friends Do? It's essentially a comedy podcast

911
00:54:35,719 --> 00:54:39,160
Speaker 1: for comedy advice for if you're already in comedy, so

912
00:54:39,239 --> 00:54:44,080
Speaker 1: that doesn't really exist. And and I have an epic

913
00:54:44,120 --> 00:54:47,239
Speaker 1: special coming out sometimes soon this also please look out

914
00:54:47,280 --> 00:54:50,799
Speaker 1: for that. And also, um, my name is Marlena and

915
00:54:50,800 --> 00:54:55,560
Speaker 1: backwards that's anal ram, so please remember because that's how

916
00:54:55,600 --> 00:54:59,000
Speaker 1: careers happened. So yeah, wow, I never thought about that

917
00:55:00,400 --> 00:55:03,840
Speaker 1: so much that I met everyone. Yeah, is that how

918
00:55:03,960 --> 00:55:09,120
Speaker 1: you know? But because I pronounce it Marlna right there

919
00:55:09,160 --> 00:55:10,799
Speaker 1: you go? Oh, so if you if you put it

920
00:55:10,800 --> 00:55:13,279
Speaker 1: backwards to a sounding like anal Ram. I mean it

921
00:55:13,440 --> 00:55:23,840
Speaker 1: still does it? Al Ram? Yeah? It's cool and second rate? Baby.

922
00:55:24,400 --> 00:55:26,960
Speaker 1: Oh like one of my own tweets or anyone Else's

923
00:55:27,000 --> 00:55:28,560
Speaker 1: just a tweet you've liked to go through your legs.

924
00:55:28,840 --> 00:55:32,759
Speaker 1: M No, I'm going to do one of mine. Do it.

925
00:55:32,840 --> 00:55:35,680
Speaker 1: If you don't have anything nice to say, then feel

926
00:55:35,719 --> 00:55:38,920
Speaker 1: for you to run for president? Yes, so it's one

927
00:55:38,920 --> 00:55:40,879
Speaker 1: of yours. So what's one of your tweets you've been

928
00:55:41,280 --> 00:55:43,960
Speaker 1: that was when you're That was one of them that

929
00:55:45,080 --> 00:55:53,759
Speaker 1: you said it? So the Obama if you don't have

930
00:55:53,760 --> 00:55:56,279
Speaker 1: anything nice to say, didn't feel for you to run

931
00:55:56,320 --> 00:55:59,760
Speaker 1: for press? There you go, there, it is all right, myles.

932
00:55:59,800 --> 00:56:05,080
Speaker 1: We're Can people find you? Yeah, you can find me

933
00:56:05,120 --> 00:56:08,640
Speaker 1: on Twitter and Instagram at miles of gray And a

934
00:56:08,680 --> 00:56:12,239
Speaker 1: tweet that I like is from Solomon Georgio and it

935
00:56:12,320 --> 00:56:14,799
Speaker 1: said you haven't lived until you look someone in the eye.

936
00:56:14,880 --> 00:56:17,759
Speaker 1: Right before the course of foreignn blondes is what's up?

937
00:56:18,280 --> 00:56:28,200
Speaker 1: And asked them what do gay horses eat? Wait? What? Uh? Wow?

938
00:56:28,239 --> 00:56:30,840
Speaker 1: Am I the only Linda Perry fan of here? Alright?

939
00:56:30,880 --> 00:56:36,239
Speaker 1: A love songwriting credits? All right, y'all, prepare your wig

940
00:56:36,280 --> 00:56:39,279
Speaker 1: will fly off. You can follow me on Twitter at

941
00:56:39,360 --> 00:56:46,799
Speaker 1: Jack Underscore. O'Brian tweet that I've been enjoying is iris

942
00:56:47,320 --> 00:56:51,080
Speaker 1: at Iris Underscore ks tweeted When I feel bad about

943
00:56:51,080 --> 00:56:54,520
Speaker 1: my social skills, I remind myself how one time Rachmaninoff

944
00:56:54,600 --> 00:56:57,399
Speaker 1: decided he was going to be pals with Stravinsky, who

945
00:56:57,520 --> 00:56:59,960
Speaker 1: casually mentioned he liked honey. So he showed up at

946
00:57:00,040 --> 00:57:01,560
Speaker 1: his house in the middle of the night with an

947
00:57:01,680 --> 00:57:05,840
Speaker 1: enormous jar of honey and no explanation. That's just a

948
00:57:05,880 --> 00:57:08,719
Speaker 1: story that I really enjoy. And another tweet I enjoy

949
00:57:08,800 --> 00:57:13,600
Speaker 1: is from Andrew Chamings at Andrew uh and it says,

950
00:57:13,719 --> 00:57:16,480
Speaker 1: the day after I meet a genie boss, Hey, team,

951
00:57:16,520 --> 00:57:19,640
Speaker 1: you can all leave five minutes early today me loudly,

952
00:57:19,920 --> 00:57:28,360
Speaker 1: oh so weird? All right? Can I say one more thing? Yes,

953
00:57:29,640 --> 00:57:32,320
Speaker 1: even if you're in a blue state and you feel

954
00:57:32,320 --> 00:57:35,760
Speaker 1: like it doesn't matter if you vote, please do because

955
00:57:35,840 --> 00:57:39,240
Speaker 1: we have to show how much the electoral College doesn't

956
00:57:39,240 --> 00:57:42,200
Speaker 1: represent relation. Thank you. That's all I wanted to say.

957
00:57:42,240 --> 00:57:43,600
Speaker 1: I thought you had some genie bit you were going

958
00:57:43,640 --> 00:57:48,560
Speaker 1: to do. There you go. I like that that person

959
00:57:48,600 --> 00:57:51,080
Speaker 1: is there. That's the joke. A though, is that things

960
00:57:51,120 --> 00:57:54,560
Speaker 1: just want to get out five minutes or wow than

961
00:57:54,680 --> 00:57:58,320
Speaker 1: big dream big, y'all. So we will other things that

962
00:57:58,360 --> 00:58:00,560
Speaker 1: are happening today that we didn't have time to get to.

963
00:58:01,120 --> 00:58:05,440
Speaker 1: Trump organizations, business being fraud, robot calls are out of control,

964
00:58:05,960 --> 00:58:09,000
Speaker 1: and the caravan of migrants. We will get to those

965
00:58:09,200 --> 00:58:11,840
Speaker 1: in future episodes, and so let's stick around and keep

966
00:58:11,880 --> 00:58:15,280
Speaker 1: listening for that. Uh. You can follow us on Twitter

967
00:58:15,360 --> 00:58:18,560
Speaker 1: at daily Zeygeist. We're at the Daily Zeychgeist on Instagram.

968
00:58:18,560 --> 00:58:21,320
Speaker 1: We have a Facebook campage and a website, Daily zikeeis

969
00:58:21,360 --> 00:58:24,680
Speaker 1: dot com. We post our episodes in our footnote. We

970
00:58:24,800 --> 00:58:27,640
Speaker 1: we lick off to the information that we talked about

971
00:58:27,640 --> 00:58:30,320
Speaker 1: in today's episode, as well as the song we ride

972
00:58:30,360 --> 00:58:33,000
Speaker 1: out on. You can also find that information and these

973
00:58:33,160 --> 00:58:38,000
Speaker 1: links in the show notes notes which miles what song

974
00:58:38,040 --> 00:58:40,280
Speaker 1: are we gonna write out on the back? Uh? This

975
00:58:40,680 --> 00:58:44,760
Speaker 1: is a track from Astronauts et cetera. Uh, and it's

976
00:58:44,800 --> 00:58:47,480
Speaker 1: called the Border And you know, it's just got some

977
00:58:47,640 --> 00:58:51,000
Speaker 1: good sweet picked bass playing in there. What I like

978
00:58:51,240 --> 00:58:54,920
Speaker 1: love hearing somebody picked that bass. Yeah, And Uh, it

979
00:58:55,040 --> 00:58:57,040
Speaker 1: just you know, feels like a throwbacktrack and it's just

980
00:58:57,080 --> 00:58:59,840
Speaker 1: got a good energy what's an example of a song

981
00:59:00,080 --> 00:59:06,640
Speaker 1: picked face that I might reck that's slap, that's like

982
00:59:06,640 --> 00:59:09,360
Speaker 1: slap of pop. This is more like like most rock.

983
00:59:09,480 --> 00:59:11,640
Speaker 1: I mean, you know, a lot of funk is all fingers.

984
00:59:11,720 --> 00:59:14,480
Speaker 1: So when you're more like boom boom boom boom, that's

985
00:59:14,560 --> 00:59:16,960
Speaker 1: more finger stop finger poll. I didn't know I was

986
00:59:17,000 --> 00:59:21,840
Speaker 1: a lot of funk. And then you know, just listen

987
00:59:21,840 --> 00:59:23,400
Speaker 1: to this, my man, and you will get that that

988
00:59:23,480 --> 00:59:25,920
Speaker 1: you can hear the pick hitting the string. Uh. And

989
00:59:26,040 --> 00:59:27,600
Speaker 1: I mean there are many songs with pick bass that

990
00:59:27,720 --> 00:59:31,040
Speaker 1: it's so pervasive that it can't be like yeah that one. Okay, yeah,

991
00:59:31,200 --> 00:59:33,440
Speaker 1: all right, well we are going to write out on that.

992
00:59:33,520 --> 00:59:36,280
Speaker 1: We will be back tomorrow because it is a daily podcast.

993
00:59:36,360 --> 01:00:03,400
Speaker 1: We'll talk to you then by a f