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Speaker 1: Hello the Internet, and welcome to season one sixty, episode

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Speaker 1: one of JA Daily's Like Guys startlection of I Heart Radio.

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

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Speaker 1: into America's share consciousness. It's Monday, November. What we're looking

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Speaker 1: at sixty six days until January, sixty five days until

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Speaker 1: January twenty. My name is Jack O'Brien a kay and

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Speaker 1: I say Jay, Yeah, yeah, yeah yeah Jay, yeah yeah,

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Speaker 1: I'll see k at O'Brien young. That is courtesy of

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Speaker 1: I don't know Myles told me about a while ago

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Speaker 1: and then we lost track of it in the discord.

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Speaker 1: Hit me up on Twitter, let me know who came

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Speaker 1: up with that one. And I was just at me

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Speaker 1: in the discord and I'll tell Jack who it was. Yeah. Hey,

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Speaker 1: I'm thrilled to be joined as always by my co host,

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Speaker 1: Mr my own grap No no no no no no, no, no,

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Speaker 1: no no no no no sheets inside the White House

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Speaker 1: bedroom stinky. Oh, poor authorities, ring ring, ring that liquid

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Speaker 1: out into a glass so you can chug it down.

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Speaker 1: Whoa miss me with all the fascist bullshit? Eat me,

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Speaker 1: I'm talking to sid Oh take your tiny hands, choke

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Speaker 1: on your ten if you don't like that, you can

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Speaker 1: go back to your country, so miss me, Okay, thank

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Speaker 1: you too. I mean that's that's something else. That's something else. Yeah,

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Speaker 1: the opus, Yes, if you beautiful, it's interesting, Snarlow's Barkley.

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Speaker 1: There's the famous version on YouTube called Tease Me, where

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Speaker 1: a Filipino beauty contestant is singing it, but her tech

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Speaker 1: olig accent creates a lot of new words, and in

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Speaker 1: the last line where says make the what the fireflies dance?

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Speaker 1: Silver moon is sparkling, she says, make the parflies dance.

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Speaker 1: Sylvie Moose is Barkley kiss And I was laughing at

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Speaker 1: that part. Shout out to Snarls Barkley at a shout

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Speaker 1: out to them. We are thrilled to be joined in

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Speaker 1: our third seat by the brilliant, the talented r L

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Speaker 1: doing wrong Welcome. Things are good. I'm kind of sad

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Speaker 1: that I don't have any kind of theme music prepared

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Speaker 1: for you guys. I also am a little bit mad

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Speaker 1: that I had to listen to that just now. That

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Speaker 1: was kind of painful. Miles especially um, thank you for that.

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Speaker 1: It's you're You're more than welcome. So this is what

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Speaker 1: the listeners of our show put themselves through on the daily.

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Speaker 1: They are a hardy bunch. They are, yeah, and they

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Speaker 1: indulge it. It's like it's an awful cycle where it's

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Speaker 1: these here burn yourself up with this a K very nice,

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Speaker 1: very nice. All Where are you coming to us from?

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Speaker 1: I'm currently sitting in my Brooklyn apartment. Yeah, you know

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Speaker 1: in my closet specifically, if we want to be like

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Speaker 1: hyper specific broadcast closet. I mean it's sound treated, it's

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Speaker 1: very tried. I tried to have some moving blankets over here.

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Speaker 1: I have some phone panels on the other side, got

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Speaker 1: you know, some a lamp so I can finally see

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Speaker 1: what the heck I'm doing when I'm recording. It's good. Yeah,

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Speaker 1: you love to see it. You love to see it.

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Speaker 1: You do kind of love to see it. What's the

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Speaker 1: weather like in Brooklyn right now? Uh? Kind of coldish,

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Speaker 1: kind of rainy. Yeah, it's like it felt like last weekend,

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Speaker 1: like it was it warmer last weekend. Yeah, because I

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Speaker 1: feel like because I was like, oh, here we go,

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Speaker 1: it's sixty eight greas, bring out the beanies and down jackets,

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Speaker 1: and then like everyone New York was like it's party time. Yeah.

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Speaker 1: T shirts, flip flops. What are you talking about? Yeah,

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Speaker 1: opening up the fire hydrants. Totally, totally, that's exactly what

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Speaker 1: happened last night. All right, we are going to get

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Speaker 1: to know you a little bit better in a moment. First,

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Speaker 1: we're gonna tell our listeners a few of the things

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Speaker 1: we're talking about. We're gonna talk about the continued UH

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Speaker 1: spike and COVID H, the spread UH both outside of

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Speaker 1: this administration and inside the administration among Korey Lewandowski. They're

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Speaker 1: a hundred and thirty Secret Service agents quarantining right now.

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Speaker 1: So we'll talk about that. We're gonna talk about Rampaul.

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Speaker 1: We're gonna talk about Trump asking about using you know,

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Speaker 1: we we only know what he's planning because he starts

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Speaker 1: asking questions about it because he doesn't really know how

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Speaker 1: things exactly. So he asked about the you know, a

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Speaker 1: thing that people have been scared about for a while,

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Speaker 1: that that he would convince Republican state legislatures to send

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Speaker 1: competing electors. But we'll we'll talk about why we're not

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Speaker 1: pissing our bed quite yet on that front. To make

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Speaker 1: a reference back to Miles dakh, we will talk about

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Speaker 1: the first woman and first Asian American GM of a

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Speaker 1: pro sports team. We're gonna talk about how it's never

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Speaker 1: too early for the Biden administration to start sucking up.

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Speaker 1: We'll talk about Disney, We'll talk Miles will review some

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Speaker 1: Netflix shows. I will talk about some new offerings from

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Speaker 1: the Renaissance h that I don't know he's been. He's

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Speaker 1: been dropping music while we weren't looking, and he I

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Speaker 1: think he must be doing this on purpose because he

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Speaker 1: is locking down such a specific aesthetic of just like cheesiness,

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Speaker 1: um and bad lyricism, that lyric writing that I I

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Speaker 1: just can't even express. So renters on playing for dats

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Speaker 1: right now. Yeah, I think he's playing for but first area.

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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's revealing about who you are? Um So,

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Speaker 1: two things have been in my search history quite a

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Speaker 1: bit this week, Like I've like repeatedly searched for for

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Speaker 1: two specific things. One of them is is just random

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Speaker 1: pictures of animal poop. There's a reason for this, seriously.

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Speaker 1: Um So, I've been trying to identify what animal is

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Speaker 1: pooping in my backyard in the same spot every night

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Speaker 1: because my dog has developed an affinity for eating said

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Speaker 1: poop um, and it would be useful for me to

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Speaker 1: know what animals so I know how to stop this

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Speaker 1: animal from doing this in my art every time. And

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Speaker 1: also you write like and how much do I need

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Speaker 1: to worry? And the thing is is that this do

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Speaker 1: you want me to dive into this because I can't

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Speaker 1: promise you. I can't. So the thing is is that

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Speaker 1: this cat poop specifically is um is like kind of

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Speaker 1: like oddly mushy, It doesn't really have a shape, and

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Speaker 1: it's green. And so if it is cat poop, and

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Speaker 1: there are quite a few cats who spend time in

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Speaker 1: our yard, if it is cat poop, that's probably indicates

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Speaker 1: that this cat is sick, which means that I really

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Speaker 1: need to get my I mean, this is apropos. I

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Speaker 1: really need to get my ship together to stop my dog,

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Speaker 1: right um. So I've been trying to figure that out.

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Speaker 1: I've been so I've been googling a lot of like

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Speaker 1: pictures of like wildlife poop um. And here's the thing

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Speaker 1: that's unfortunate about googling that is that, for whatever reason,

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Speaker 1: a lot of the guides are like drawings of poop

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Speaker 1: as opposed to actual examples of the poop, which is

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Speaker 1: infinitely frustrating to me because you know what's not helpful,

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Speaker 1: like random outline of a pop Like here's my artistic

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Speaker 1: interpretation of the fingers for a scientific diagram. It's really

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Speaker 1: really not helpful. And like I studied zoology from my

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Speaker 1: undergrad so, like, I'm not squeamish, like I this is

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Speaker 1: not a big deal for me. I just need to

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Speaker 1: know what animal is responsible for this. Like I thought

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Speaker 1: it was maybe like rabbit because green, but it's not

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Speaker 1: like the right kind of pillet size, like yeah, whatever,

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Speaker 1: So listen, I think I'm narrowed down to like sick cat,

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Speaker 1: which means that I need to like buy something to

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Speaker 1: cover the area that's like kind of spiky so the

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Speaker 1: cat won't squat there. Um. I haven't done that yet,

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Speaker 1: but that's that's because almost one what is you know,

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Speaker 1: if someone who studied zoology, like what are the other

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Speaker 1: possible wildlife in Brooklyn's But you know what I mean,

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Speaker 1: because I feel like very quickly, it's like it's got

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Speaker 1: to be a cat, Like are there it could be

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Speaker 1: a raccoon? Um. I actually haven't specifically checked this out,

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Speaker 1: but like maybe there are foxes, Maybe there are rabi.

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Speaker 1: They're probably rabbits. Like, like the area I'm close to

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Speaker 1: means which is like has like a little bit more

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Speaker 1: green space around, like it's possible, right Like Also like

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Speaker 1: then that also means that there's like a hole in

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Speaker 1: the fence if that's the case, because it has like

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Speaker 1: a cement base. Anyways, I've like that's a lot of

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Speaker 1: problem solving you have to do. Yeah, so I tried

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Speaker 1: to figure out and I'm like concerned if like I

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Speaker 1: covered that because at first I was going to do

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Speaker 1: cayenne pepper just like sprinkle it there because like you know,

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Speaker 1: the smell of it would like get into their nostrils.

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Speaker 1: But then you have to do that every day. Hot

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Speaker 1: sauce would be a similar thing. Um, So I think

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Speaker 1: I've landed on like the spiky mat um, which means

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Speaker 1: that my dog also won't be able to dig there,

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Speaker 1: which is probably fine. But anyways, so or leave some

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Speaker 1: stool hardener out. The Selogy part of me is like

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Speaker 1: that's a terrible idea, like that someone who has a

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Speaker 1: cat who has stool issues. I've had to try everything

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Speaker 1: to solve it. But yeah, I remember my dog. I

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Speaker 1: have a dog to who loves to get down on

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Speaker 1: some cat shit. And as one of our our coworkers,

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Speaker 1: Katie Golden, was saying, it's because of the fat content

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Speaker 1: in it. Yeah, it's like, yeah, because they eat way

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Speaker 1: more meat, like the diet is way more meat heavy.

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Speaker 1: Um yeah, I don't know, but she loves this stuff

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Speaker 1: and she parades it around and she's so pleased whenever

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Speaker 1: she finds a piece of it, Like she's so happy.

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Speaker 1: It's really frustrating. So that's that's Google search number one,

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Speaker 1: Google search number two, if you don't mind me giving

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Speaker 1: an example not monopolizing the time here, uh is freezers

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Speaker 1: for vaccines. So I've been like googling different types of freezers.

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Speaker 1: This this, this Fiser vaccine needs a minus seventy degrees

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Speaker 1: celsius freezer, which is called like an ultra cold freezer.

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Speaker 1: These freezers cost thousands of dollars and like your average

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Speaker 1: clinic will not have a freezer like that, right. So

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Speaker 1: I've been trying to figure out how this like chain

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Speaker 1: of operation is to work, and it's gonna be complicated

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Speaker 1: and people are gonna have to work together, which means

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Speaker 1: that it's gonna go badly. Um. So I've I've been

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Speaker 1: going freezers a lot. Isn't there already like a run

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Speaker 1: on those freezers on top of it, like even if

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Speaker 1: it's hard, they're even hard to obtain right now. Yeah,

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Speaker 1: So like rich hospitals are already trying to buy a

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Speaker 1: bunch of these and ups FedEx, um, DHL are all

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Speaker 1: trying to buy because they have freezer farms. Um, so

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Speaker 1: they're all trying to like buy up a lot of freezers.

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Speaker 1: So yeah, it's gonna be a problem. The thing is

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Speaker 1: is that it's unclear whether these smaller claims would be

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Speaker 1: able to ford them at all. Um So hopefully, Like

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Speaker 1: I I it's gonna tell you. I was talking to

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Speaker 1: a researcher today who was telling me that, um, she's

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Speaker 1: trying to figure out how many of these freezers they

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Speaker 1: have at her university so that they can loan out

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Speaker 1: the space in the freezers, like the remaining space in

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Speaker 1: the freezer. And she's like compiled a specific number of

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Speaker 1: cubic feet that they have available that they could loan

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Speaker 1: out in her state. So we're subletting freezer space for

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Speaker 1: the good of humanity basically. Yeah, it's it's actually super interesting.

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Speaker 1: I love these kinds of stories. I'm a science writer

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Speaker 1: by by trade, Like that's what I do. Um, So

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Speaker 1: I got really really excited about the story, even though

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Speaker 1: obviously it's a global pandemic and it's it's sad and terrible. UM,

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Speaker 1: I do find that specific aspect of it really interesting. Yeah. Yeah,

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Speaker 1: I've been actually stocking up on the super freezers. Uh,

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Speaker 1: just like people were doing with the ps fives. I

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Speaker 1: just bought outside. You're just like one of those people

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Speaker 1: just stoking up on super freezers. You know this guy's

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Speaker 1: going to come back. You got in trouble with FBI

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Speaker 1: for buying all those Lisol wipes, so watch it. But yeah,

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Speaker 1: that story was I remember when they were first talking

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Speaker 1: about vaccines over the summer and how most likely they're

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Speaker 1: going to have to be frozen or kept very cold

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Speaker 1: to move around, and I'm like, I already can envision

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Speaker 1: the stories of trailer fulls of vaccine going bad because

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Speaker 1: of X Y, and yeah, I mean that could definitely happen.

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Speaker 1: Crumbling infrastructure, right. The good news is that, um, the

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Speaker 1: other freezers, the other freezers, the other vaccines that are

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Speaker 1: in the works right now from companies like Astra, Zeneca

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Speaker 1: and Maderna do not need these these super intense freezers.

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Speaker 1: But like, because Fiser appears to be ahead of the

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Speaker 1: pack right now, we'll see if it gets an FDA authorization,

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Speaker 1: it like creates a logistical issue right off the bat.

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Speaker 1: That could mean that certain areas, more rural areas, areas

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Speaker 1: that don't have these fancy schmancy hospitals could uh could

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Speaker 1: see a significant delay in terms of their access to

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Speaker 1: a vaccine. And like that's gonna suck to put it plain.

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Speaker 1: Do do they make these vaccines at some central location

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Speaker 1: then have to ship them out or will people be

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Speaker 1: making the vaccines like at the hospital and be able

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Speaker 1: to store them there or how does that? Yeah, it's

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Speaker 1: more of a central location thing because you need to

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Speaker 1: have a highly specialized area. Um. And these vaccines, even

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Speaker 1: though they haven't been authorized by the FDA yet, they

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Speaker 1: are already in production right now. Um. But yeah, it's

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Speaker 1: not like something that you can like whip up in

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Speaker 1: the back of your clinic and just like administer. It

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Speaker 1: doesn't work that way, unfortunately. Yeah, not mine. I've been

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Speaker 1: told that. Yeah, I specifically should not try what is

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Speaker 1: something emergency with diet coke very weird. That's good, better

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Speaker 1: than you would think it's good. Um, what is something

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Speaker 1: you think is overrated? Um? So I'm actually so glad

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Speaker 1: that you brought up things like emergency because what I

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Speaker 1: think is super overrated is like the term healthy food

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Speaker 1: or like just diets broadly speaking, and especially and like

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Speaker 1: administering vitamins that are not prescribed by a doctor because

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Speaker 1: you don't you don't know if you even have a

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Speaker 1: deficiency or not. Um, all of those things are just

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Speaker 1: like highly overrated. Like you a lot of the things.

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Speaker 1: There is no such thing as a healthy food. There's

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Speaker 1: nothing wrong with eating something that's sugary or that has

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Speaker 1: a lot of fat. You just need to have a

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Speaker 1: balanced diet. And like the frequency of these things right right,

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Speaker 1: and like honestly like kind of whatever. It's we we

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Speaker 1: know that the way that people lose weight is through

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Speaker 1: have restricting, not over eating. It doesn't necessarily have something

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Speaker 1: to do with the types of foods that you are eating. Um,

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Speaker 1: And it's just a diet culture man overrated and just

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Speaker 1: the language that we use that can sort of ideas

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Speaker 1: or like how we even perceive those things for sure. Yeah, yeah,

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Speaker 1: I mean I think it's just really it really it

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Speaker 1: really screws people up. Um. And I just like I

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Speaker 1: am like extremely over talking about my body, other people

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Speaker 1: talking about their bodies and um, and just like competing

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Speaker 1: with each other about this stuff just not helpful. Yeah,

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Speaker 1: it's it's weird. It's something that comes up to like

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Speaker 1: last week we had a guest on what we're talking about,

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Speaker 1: just like in quarantine, like the idea of people just

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Speaker 1: not caring about their physical appearance in terms of like

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Speaker 1: aesthetic exercise, people like really putting the time into like

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Speaker 1: get super aesthetically cut up and shipped like that, and yeah,

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Speaker 1: like it's it's it's it's funny how even in a

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Speaker 1: time like this, like those things sort of starts seeping

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Speaker 1: into our heads where even though we're at home and

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Speaker 1: most of them are so isolated, we're still like finding

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Speaker 1: ways of like oh yeah, and you might be feeling

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Speaker 1: guilty because you're seeing this other person like looking real

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Speaker 1: cut in quarantine or something like that. Right, Yeah, I

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Speaker 1: mean that's a problem. Like I don't get me wrong.

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Speaker 1: I I lift I UM, I used to power lift

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Speaker 1: before the pandemic. UM, but I do it to be strong, right,

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Speaker 1: Like I love the feeling and it's the only way,

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Speaker 1: Like it's one of the only things that makes me

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Speaker 1: feel like in my body and super grounded. Um, there's

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Speaker 1: just lifting heavy ship. So yeah, that's like moving stuff around,

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Speaker 1: like lifting boxes and ship. Like I could do that, Nathan.

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Speaker 1: For you that joke episode where there's a whole workout

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Speaker 1: routine about just moving shipped from someone's house to another one,

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Speaker 1: I'm like, I could do that all day. Is something

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Speaker 1: you feel good, like, yeah, let me get this box,

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Speaker 1: let me do this. But yeah, all right, next time

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Speaker 1: I move, I'm gonna be calling you Miles you can

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Speaker 1: pop on a plane. Problem? Profit problem? What is something

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Speaker 1: you think is underrated? Uh? The answer is is specifically

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Speaker 1: tied to my dog, which is that I think chihuahuas

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Speaker 1: are very much underrated. Um. I have an eight pound

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Speaker 1: black Chihuahua and they get a really bad rap And

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Speaker 1: that's because most people who own chihuahuas aren't very good

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Speaker 1: at training them. Um, but she's amazing. She hikes eight

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Speaker 1: miles with me. Well eight pound body hikes. Will like,

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Speaker 1: do eight miles. I'm tired of the end of it,

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Speaker 1: and she's like, no, I'm still ready to go. She's

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Speaker 1: super trainable. She I've recently taught her to put away

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Speaker 1: her toys. I have to do each individually, but she will,

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Speaker 1: like I say, like take get, She'll take it, and

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Speaker 1: I point to the basket where we put her toys

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Speaker 1: and she'll drop it in there. Like these dogs are

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Speaker 1: amazing and I don't know why they get hated on

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Speaker 1: so much. It's it's really unfortunate. I so you, I'm

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Speaker 1: sure as someone who like loves already you've confessed you

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Speaker 1: were into zoology, so as part of you being like

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Speaker 1: I can make this work, like I don't know about

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Speaker 1: all of this, because I think I can make any

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Speaker 1: of it work right, because I feel like a lot

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Speaker 1: of people just sort of get if they're not used

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Speaker 1: to training a dog or like how that works or

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Speaker 1: something like they give up very easily, and then you

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Speaker 1: get the runaway train effect where it's like I don't know,

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Speaker 1: I think my chihuahua is in here, I don't know

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Speaker 1: check or is everything ripped up? Oh yeah, the dogs

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Speaker 1: in here then, or like like oh they shipped on

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Speaker 1: your pillow that you were sleeping on. That's weird, but yeah,

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Speaker 1: it's do you get like what are you using like

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Speaker 1: a clicker method and just treat positive reinforcement? How do

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Speaker 1: you have to teach her a new treat, a new trick.

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Speaker 1: I will generally use a clicker because she actually responds

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Speaker 1: relatively well to it. Um. She's not one of those

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Speaker 1: dogs where it can just like you can. You can

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Speaker 1: show them a thing and then they'll they'll mimic you,

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Speaker 1: like there are super dogs that can do that. She's

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Speaker 1: not like that. Um, but the clicker works well with

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Speaker 1: her and uh yeah, just catching the trick. So if

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Speaker 1: she does something that I want her that I like,

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Speaker 1: then I will praise her like crazy, like it's a

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Speaker 1: it's a party in this apartment. If something right, and

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Speaker 1: then she'll figure it out and she'll try to to

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Speaker 1: recreate that moment and then more. Yeah. Yeah, I if

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Speaker 1: you could see the amount of just toys around me

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Speaker 1: right now, I could use I'm taking notes right now

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Speaker 1: for how to train my two and four year old

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Speaker 1: to do human Yeah yeah, yeah, no, I I because

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Speaker 1: actually I was talking to my wife yesterday about how

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Speaker 1: like as far as like catching a trick and then

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Speaker 1: praising a specific behavior like it is actually quite similar

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Speaker 1: with with very young children, right, like you praise them

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Speaker 1: when they do something that's really good, and you just

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Speaker 1: like catch them in the act, then you try and

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Speaker 1: recreate it because they know it's a good thing. I

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Speaker 1: think that stops working after a while when or you

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Speaker 1: re enforce the wrong behaviors that you take into adulthood

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Speaker 1: and you're like, oh, I'm meant to be passive around

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Speaker 1: this kind of person, because that's how I always been. Like, oh,

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Speaker 1: good for you. If someone tells you to come here

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Speaker 1: and you know, do you do that? That's okay. The

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Speaker 1: other thing I want to know about chuahas is I

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Speaker 1: I like chihuahua's, but they're big ass skulls kind to

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Speaker 1: freak me out, Like I'm always looking at him like, yeah,

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Speaker 1: the dome skull, Yeah, like up with your skull piece cha, Yeah,

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Speaker 1: it's weird. She actually, so there are two types of chihuahuas.

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Speaker 1: She's she's not a purebread she's a rescue from Texas um.

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Speaker 1: But there are two types of chiawas. One has like

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Speaker 1: a dome skull and the other one has more of

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Speaker 1: like a flat skull, So she's a flat skull. Um.

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Speaker 1: I agree with you. The dome the dome skull is weird. No,

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Speaker 1: you know, no shade to dome skulls, you know, But

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Speaker 1: for me, maybe not my cup of tea. Yeah, no,

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Speaker 1: I I get you, I feel you. Yeah, it's just

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Speaker 1: something it looks uncomfortable, like when you see like the

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Speaker 1: trembling chihuahuas that have like the dog, because you're like,

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Speaker 1: is your head about to explode? It's not why you're shaking,

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Speaker 1: because that's what it looks like to me. So I

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Speaker 1: will tell you that the trembling is one major downside

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Speaker 1: of this particular animal. Like she does it all the

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Speaker 1: time if she's stressed out, if she's cold, which is

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Speaker 1: a lot of the time, she will she will shake,

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Speaker 1: and that I do like, I wish there wasn't a

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Speaker 1: thing that she did. Um, but you know what, I'm

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Speaker 1: cold all the time too, So if I'm cold, I

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Speaker 1: know she's cold. So we help each other out, you know,

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Speaker 1: we alert each other to this environmental problem that we're

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Speaker 1: just by thinking about you, just like every time I

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Speaker 1: get in her arms so cold. Um yeah, yeah, all right,

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Speaker 1: let's take a quick break and we'll come back and

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Speaker 1: talk about the news and we're back. Yeah. So we

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Speaker 1: are in the middle of a COVID nineteen pandemic. Have

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Speaker 1: you guys heard about this? Uh no, Yeah, Surge continued surge.

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Speaker 1: I don't know that there. It's breaking down into distinct

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Speaker 1: waves at this point. It just seems like it's popping

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Speaker 1: off in different places quite a bit right now. But

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Speaker 1: at one place in particular it is popping off is

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Speaker 1: within the Trump administration. Yeah, everybody, everybody has come through.

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Speaker 1: Mark Meadows, chief of Staff, tested positive, Ben Carson tested positive,

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Speaker 1: Corey Lewandowski tested positive. And now the latest news over

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Speaker 1: the weekend was that over one hundred thirty Secret Service

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Speaker 1: officers have been quarantining or isolating due to a positive

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Speaker 1: test to themselves or for being in close contacts to

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Speaker 1: a coworker that had tested positive. That's like roughly ten

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Speaker 1: per cent of the agency's core security team from what

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Speaker 1: the reports are, so ten percent because of all the

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Speaker 1: insisting on like COVID isn't real, UH is now having

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Speaker 1: this effect of the people that are in charge of

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Speaker 1: protecting them, like this recklessness around them is now being like, okay,

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Speaker 1: well now we've we've recapped our capacity by about ten percent.

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Speaker 1: You know, a lot of people were pointing to the

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Speaker 1: like the rallies as a huge contributing factor because again

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Speaker 1: those are huge maskless events with no social distancing, so

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Speaker 1: like most people who accept the science around and go, yeah,

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Speaker 1: you don't want to do that. And then couple that

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Speaker 1: with all of the indoor events that are going on

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Speaker 1: too with them, where it's maskless indoors, no social distancing,

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Speaker 1: a lot of hooting and hollering, and yes, there's just

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Speaker 1: increase added risk. Do we know if these Secret Service

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Speaker 1: agents are being told specifically not to wear a mask, Like,

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Speaker 1: is that a directive that they are getting, because that

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Speaker 1: just feels particularly like that feels like negligence to me.

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Speaker 1: That feel like particularly awful. We do have anecdotes where

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Speaker 1: Trump specifically shames people for wearing masks around him, so

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Speaker 1: unofficial guidance exactly in the in the photos, you'll it's

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Speaker 1: a mix like sometimes you'll the Secret Service is wearing

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Speaker 1: a mask and other times they're not. So I don't know,

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Speaker 1: it almost seems like how close you are to the president,

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Speaker 1: Like you'll see like the people who are maybe on

423
00:24:25,760 --> 00:24:28,080
Speaker 1: the perimeters that look like Secret Service are masked up,

424
00:24:28,240 --> 00:24:30,439
Speaker 1: and then you see photos of like the President walking

425
00:24:30,480 --> 00:24:34,720
Speaker 1: through somewhere and he's like super close detail as maskless.

426
00:24:35,119 --> 00:24:38,240
Speaker 1: So yeah, it's the opposite of how should be right,

427
00:24:38,640 --> 00:24:41,040
Speaker 1: You would think, Yes, exactly, because the idea of wearing

428
00:24:41,040 --> 00:24:43,600
Speaker 1: a mask is like, let's protect the president, right yeah,

429
00:24:43,640 --> 00:24:47,639
Speaker 1: But and even then, like you know, the beginnings was

430
00:24:47,760 --> 00:24:51,080
Speaker 1: that awful, awful photo op when he decided to do

431
00:24:51,160 --> 00:24:55,760
Speaker 1: the hermetically sealed drive around Walter Reid with his security

432
00:24:55,800 --> 00:24:58,199
Speaker 1: detail in the car when he is in the midst

433
00:24:58,280 --> 00:25:03,600
Speaker 1: of struggling through COVID infection. So I don't know, man,

434
00:25:03,640 --> 00:25:06,879
Speaker 1: Like I'm who knows like the kinds of memoirs that

435
00:25:06,880 --> 00:25:09,440
Speaker 1: are going to come out from these people, but like God,

436
00:25:09,560 --> 00:25:11,399
Speaker 1: like it's got to be even worse. And you're like,

437
00:25:11,440 --> 00:25:13,160
Speaker 1: do my job is to protect people who are trying

438
00:25:13,160 --> 00:25:15,480
Speaker 1: to fucking who literally don't give a funk if I

439
00:25:15,520 --> 00:25:18,280
Speaker 1: live or die. Like it's a weird, weird dynamic going

440
00:25:18,359 --> 00:25:22,320
Speaker 1: on here, right, the fact that their job is to

441
00:25:22,960 --> 00:25:25,960
Speaker 1: be willing to take a bullet for him, and like

442
00:25:26,040 --> 00:25:29,320
Speaker 1: he I'm shocked that he hasn't more taken advantage of

443
00:25:29,359 --> 00:25:32,320
Speaker 1: that and like had people shoot at him too, just

444
00:25:32,400 --> 00:25:36,119
Speaker 1: like dangle his power of having a secret services, secret

445
00:25:36,160 --> 00:25:42,520
Speaker 1: service details in front of people. It's for me, I mean,

446
00:25:42,520 --> 00:25:44,159
Speaker 1: the thing with when it comes to COVID is that

447
00:25:44,240 --> 00:25:48,600
Speaker 1: he is the bullet, right exactly, what do you do

448
00:25:48,720 --> 00:25:51,720
Speaker 1: when you're the principle that you're supposed to be protecting

449
00:25:51,960 --> 00:25:57,560
Speaker 1: is also the threat to everyone's safety simultaneously. Yeah. Also,

450
00:25:57,840 --> 00:26:01,359
Speaker 1: this just revealed a very stupid myth that I always

451
00:26:01,359 --> 00:26:04,159
Speaker 1: had in my head. I didn't realize how many Secret

452
00:26:04,200 --> 00:26:06,800
Speaker 1: Service agents there were. It was like a hundred thirty.

453
00:26:06,880 --> 00:26:10,800
Speaker 1: That's got to be all of them, right, Yeah, Yeah,

454
00:26:10,840 --> 00:26:12,639
Speaker 1: I thought they were just the six that are always

455
00:26:12,680 --> 00:26:15,640
Speaker 1: around him, like in in the line of fire. Right, Um,

456
00:26:16,280 --> 00:26:22,199
Speaker 1: Bill Rick shades mustache. Other guys they don't look that

457
00:26:22,359 --> 00:26:24,399
Speaker 1: different from one another. They all have kind of the

458
00:26:24,440 --> 00:26:27,000
Speaker 1: same gear on. So I just assumed it was like

459
00:26:27,080 --> 00:26:33,840
Speaker 1: a small gang that protected the president. Of them, I mean,

460
00:26:34,000 --> 00:26:37,320
Speaker 1: they were born out of the Pinkerton's Yeah, you know,

461
00:26:37,400 --> 00:26:40,240
Speaker 1: so like it is, Uh, it is an interesting evolution

462
00:26:40,280 --> 00:26:42,320
Speaker 1: of the guy who was like, yeah, I created a

463
00:26:42,520 --> 00:26:46,119
Speaker 1: corporate police gang to like help fight people who are

464
00:26:46,160 --> 00:26:49,359
Speaker 1: fighting for like labor rights and also protect the president.

465
00:26:49,400 --> 00:26:53,400
Speaker 1: Now we'll pivot into that now, Yeah, after the Lincoln assassination,

466
00:26:53,560 --> 00:26:58,560
Speaker 1: very Thick should probably should get get Pinkerton. That guy,

467
00:26:59,040 --> 00:27:02,040
Speaker 1: he's got a bunch of one's on payroll. Is wild.

468
00:27:02,520 --> 00:27:05,760
Speaker 1: Let's talk about Rampaul I mean, this is this just

469
00:27:05,800 --> 00:27:09,960
Speaker 1: seems to be ideologically like really going around on the

470
00:27:10,040 --> 00:27:15,880
Speaker 1: on the right. But Rampaul uh is demanding that we

471
00:27:16,040 --> 00:27:19,360
Speaker 1: get get this country back to work, folks. Yeah, just

472
00:27:19,760 --> 00:27:22,600
Speaker 1: you know, throw cars. I don't again, We're every day

473
00:27:22,920 --> 00:27:26,000
Speaker 1: people are separating themselves more and more from reality. And

474
00:27:26,200 --> 00:27:29,800
Speaker 1: I'm not sure like where this goes aside from like

475
00:27:30,080 --> 00:27:32,320
Speaker 1: the I don't know over time, You're like, well, it

476
00:27:32,400 --> 00:27:36,600
Speaker 1: was an evolutionary trait that conservatives subtly washed themselves out

477
00:27:36,600 --> 00:27:38,800
Speaker 1: of the gene pool because they didn't believe in science

478
00:27:39,160 --> 00:27:44,399
Speaker 1: or illnesses. But he went on Fox to assure people,

479
00:27:44,960 --> 00:27:47,080
Speaker 1: I don't just like this is it's just a first

480
00:27:47,080 --> 00:27:48,480
Speaker 1: of all, I don't even need to give a caveat,

481
00:27:48,520 --> 00:27:51,399
Speaker 1: but this is straight bullshit. But he's screaming this on Fox.

482
00:27:51,760 --> 00:27:53,879
Speaker 1: But the other thing is is we have eleven million

483
00:27:53,960 --> 00:27:56,840
Speaker 1: people in our country who have already had COVID. We

484
00:27:56,880 --> 00:27:58,879
Speaker 1: should tell them to celebrate, We should tell them to

485
00:27:58,920 --> 00:28:02,480
Speaker 1: throw away their masks, go to restaurants, live again because

486
00:28:02,480 --> 00:28:05,719
Speaker 1: these people are now immune. I'm just gonna stop that there,

487
00:28:05,760 --> 00:28:11,560
Speaker 1: because that's it's just incorrect. Yeah, I mean almost immediately

488
00:28:11,560 --> 00:28:14,680
Speaker 1: on MSNBC they had dr Vin Gupta on just to

489
00:28:14,960 --> 00:28:17,640
Speaker 1: completely debunk that. So just again just you can hear

490
00:28:17,680 --> 00:28:21,760
Speaker 1: from a doctor, uh, completely debunked that. Here's what an

491
00:28:21,800 --> 00:28:25,880
Speaker 1: expert from the University of Washington Health Metrics Sciences Department

492
00:28:25,880 --> 00:28:27,720
Speaker 1: has to say. I don't know why he would say

493
00:28:27,760 --> 00:28:31,040
Speaker 1: that for your viewers out there, to correct misinformation. There

494
00:28:31,119 --> 00:28:34,119
Speaker 1: is no evidence that if you've been infected with COVID

495
00:28:34,160 --> 00:28:37,320
Speaker 1: nineteen that you're immune for reinfection for any period of time.

496
00:28:37,600 --> 00:28:40,960
Speaker 1: In twenty five year old in Nevada, otherwise healthy within

497
00:28:41,040 --> 00:28:44,200
Speaker 1: six weeks of his first infection, got reinfected, had more

498
00:28:44,240 --> 00:28:47,360
Speaker 1: severe symptoms the second time around. So that is shameful

499
00:28:47,440 --> 00:28:50,200
Speaker 1: on the part of Senator Rand Paul here. So, yeah,

500
00:28:50,400 --> 00:28:54,520
Speaker 1: it is. It's yeah. In fact, the CDC actually is

501
00:28:54,560 --> 00:28:57,200
Speaker 1: recommending that once the vaccine is available, that people who

502
00:28:57,240 --> 00:29:01,560
Speaker 1: have had COVID nineteen should still get vaccinated because vaccines actually, like,

503
00:29:01,920 --> 00:29:06,280
Speaker 1: depending on how infected you were with COVID nineteen, um,

504
00:29:06,440 --> 00:29:11,120
Speaker 1: vaccines can actually convey actually like better immunity often. Um,

505
00:29:11,160 --> 00:29:14,480
Speaker 1: so yeah, it's it's uh, it's really terrible that he

506
00:29:14,520 --> 00:29:17,520
Speaker 1: said that. I don't it's so weird, right, like, you know,

507
00:29:17,560 --> 00:29:20,120
Speaker 1: they're like sort of the hypotheticals about how you can't

508
00:29:20,160 --> 00:29:23,480
Speaker 1: shout fire in a crowded theater, you know, and cause

509
00:29:23,560 --> 00:29:27,240
Speaker 1: a commotion that could lead to people injuring themselves. Yet

510
00:29:27,320 --> 00:29:32,280
Speaker 1: it's okay to shout ship that verifiably is going to

511
00:29:32,320 --> 00:29:35,040
Speaker 1: cost people their lives, Like, no COVID, man, just toss

512
00:29:35,120 --> 00:29:37,840
Speaker 1: your masks away because you've had COVID And you can

513
00:29:37,880 --> 00:29:41,440
Speaker 1: say that on national fucking TV. And we're still like,

514
00:29:41,720 --> 00:29:44,440
Speaker 1: how what do we do here? I guess if you

515
00:29:44,440 --> 00:29:47,800
Speaker 1: watch Fox, You're sorry, Like, I don't know, Like at

516
00:29:47,840 --> 00:29:50,720
Speaker 1: a certain point there we have to be able to

517
00:29:50,800 --> 00:29:53,680
Speaker 1: rain this kind of misinformation and because it truly is,

518
00:29:54,080 --> 00:29:57,960
Speaker 1: like you there's so many people who even like people

519
00:29:57,960 --> 00:30:01,040
Speaker 1: who are are not conservative here this kind of like

520
00:30:01,200 --> 00:30:04,560
Speaker 1: bullshit misinformation to whatever help them feel like they can

521
00:30:04,560 --> 00:30:06,400
Speaker 1: go outside again. You're like, oh my god, where did

522
00:30:06,440 --> 00:30:09,120
Speaker 1: you hear that? That's not true? Just because you had it,

523
00:30:09,320 --> 00:30:11,120
Speaker 1: it doesn't mean you can't get it again. And I

524
00:30:11,120 --> 00:30:13,760
Speaker 1: don't know that people have this like chicken pox idea

525
00:30:13,880 --> 00:30:16,680
Speaker 1: of like what COVID is or something. Yeah, I mean

526
00:30:16,680 --> 00:30:19,400
Speaker 1: it would have been ideal if um And to be clear,

527
00:30:19,400 --> 00:30:21,920
Speaker 1: I've only listened to that one specific clip. I don't

528
00:30:22,040 --> 00:30:23,840
Speaker 1: even know who was conducting the interview, and I don't

529
00:30:23,840 --> 00:30:27,760
Speaker 1: know what happened after that, but in the moment, it

530
00:30:27,760 --> 00:30:29,840
Speaker 1: would have been really nice for somebody to stop him

531
00:30:29,840 --> 00:30:33,120
Speaker 1: and correct him, right, yeah, yeah, but not rather than

532
00:30:33,160 --> 00:30:36,600
Speaker 1: just being like okay, thanks to rand Paul being like, hole, yeah,

533
00:30:36,640 --> 00:30:39,720
Speaker 1: I mean that there's we're barely seeing that now, Like

534
00:30:39,760 --> 00:30:41,800
Speaker 1: only in the last week have we seen the media

535
00:30:41,920 --> 00:30:46,000
Speaker 1: like interrupt some kind of misinformation like mid breath to

536
00:30:46,040 --> 00:30:47,920
Speaker 1: be like okay, okay, we're not doing that. We're not

537
00:30:47,920 --> 00:30:51,240
Speaker 1: doing that. Yeah, I mean it's happen on Fox. I

538
00:30:51,240 --> 00:30:54,480
Speaker 1: think I think that's been nice about at least nice

539
00:30:54,920 --> 00:30:57,280
Speaker 1: you know, we're still doing global pandemic. But I do

540
00:30:57,360 --> 00:31:01,479
Speaker 1: think that journalists broadly have I gotten much better at

541
00:31:01,520 --> 00:31:03,800
Speaker 1: reporting on science. But when it comes to something like

542
00:31:03,800 --> 00:31:05,880
Speaker 1: this like yeah, I interrupt the dude, man, it's just

543
00:31:06,320 --> 00:31:09,320
Speaker 1: say that's not true, because it's not. You should know

544
00:31:09,360 --> 00:31:11,640
Speaker 1: that by now, regardless of whether you're trained in science

545
00:31:11,640 --> 00:31:14,400
Speaker 1: reporting or not. But again, I did not see the

546
00:31:14,400 --> 00:31:16,640
Speaker 1: rest of that clip, so sure, and of course you

547
00:31:16,680 --> 00:31:18,960
Speaker 1: are a legitimate journalist, so you can't. You're not out

548
00:31:18,960 --> 00:31:21,240
Speaker 1: here with the spice takes like two scumbags like us

549
00:31:21,240 --> 00:31:23,760
Speaker 1: on microphone, which we appreciate you class up the joint.

550
00:31:23,880 --> 00:31:26,040
Speaker 1: Just want to catch what I'm saying here, you know, totally,

551
00:31:27,200 --> 00:31:30,320
Speaker 1: And that's that's why we we've respect of journalists like

552
00:31:30,400 --> 00:31:33,040
Speaker 1: you who would take the craft very seriously with respect.

553
00:31:33,280 --> 00:31:36,520
Speaker 1: But yeah, with this, it almost seems like they're not journalists, right,

554
00:31:36,520 --> 00:31:38,360
Speaker 1: It's just more like, Okay, we're on the side of

555
00:31:38,440 --> 00:31:41,960
Speaker 1: just not pushing back against that because here we're tying

556
00:31:42,000 --> 00:31:45,400
Speaker 1: this idea of being safe with COVID to fucking up

557
00:31:45,440 --> 00:31:49,640
Speaker 1: the corporate overlords profits. What channel was he on when

558
00:31:49,880 --> 00:31:55,200
Speaker 1: he said that, Fox Baby, Yeah, it's wild because you

559
00:31:55,200 --> 00:31:58,520
Speaker 1: you brought up like the philosophical and like, you know,

560
00:31:58,840 --> 00:32:02,680
Speaker 1: overarching legal precedent of like the shouting fire in a

561
00:32:02,680 --> 00:32:07,200
Speaker 1: crowded theater is against the law. But like Samuel Alito

562
00:32:07,480 --> 00:32:11,240
Speaker 1: just gave a speech to the Federalist Society, so you know,

563
00:32:11,320 --> 00:32:14,560
Speaker 1: tune in for some great takes. But I was talking

564
00:32:14,560 --> 00:32:20,400
Speaker 1: about how the speech being limited and like the unimaginable

565
00:32:20,440 --> 00:32:25,600
Speaker 1: curbs on people's liberty during the pandemic. Uh, Like, it

566
00:32:25,680 --> 00:32:33,560
Speaker 1: was so wild how he was treating people, asking Americans

567
00:32:33,640 --> 00:32:38,320
Speaker 1: too quarantine and to not say things that were anti

568
00:32:38,400 --> 00:32:43,360
Speaker 1: scientific and would lead to people's deaths as like unimaginable

569
00:32:43,400 --> 00:32:46,280
Speaker 1: curbs on liberty. Well, I mean, but look at it

570
00:32:46,360 --> 00:32:49,120
Speaker 1: very by the words I'm using, I mean, you're stopping

571
00:32:49,120 --> 00:32:51,160
Speaker 1: people from doing things that is a curb to their

572
00:32:51,200 --> 00:32:54,120
Speaker 1: liberally by yeah, maybe it is safe for people, but

573
00:32:54,240 --> 00:32:56,120
Speaker 1: you can't deny that we are like, I think that's

574
00:32:56,160 --> 00:32:58,800
Speaker 1: just a weird fucking loops they want to play without

575
00:32:58,800 --> 00:33:01,360
Speaker 1: being like, I'm not denying science, but you also can't

576
00:33:01,360 --> 00:33:05,240
Speaker 1: deny telling people to do this is technically curbing their freedoms.

577
00:33:05,280 --> 00:33:07,520
Speaker 1: And that's going to allow millions of people to go

578
00:33:07,560 --> 00:33:09,280
Speaker 1: in the street and just treat that says like you

579
00:33:09,400 --> 00:33:12,320
Speaker 1: can't oppress me. It's like, no, that's not what the

580
00:33:12,320 --> 00:33:15,280
Speaker 1: fun is going on. Yeah, so much of this comes

581
00:33:15,320 --> 00:33:19,040
Speaker 1: down to like the individualistic nature of Americans broadly speaking.

582
00:33:19,040 --> 00:33:24,840
Speaker 1: I'm Canadian, so thank you, thank you for debasing yourself

583
00:33:24,840 --> 00:33:28,000
Speaker 1: and coming you know, so much of this is the

584
00:33:28,040 --> 00:33:31,640
Speaker 1: individuality thing. Like it is hard for me sometimes to

585
00:33:31,720 --> 00:33:35,720
Speaker 1: understand why the idea of helping your your fellow human,

586
00:33:35,880 --> 00:33:41,120
Speaker 1: helping people and um working together seems like so complicated

587
00:33:41,160 --> 00:33:44,600
Speaker 1: for for some folks here, it just it does boggle,

588
00:33:44,840 --> 00:33:49,040
Speaker 1: boggle the mind, as we've just been chugging this bootstraps

589
00:33:49,200 --> 00:33:54,560
Speaker 1: bullshit mythology forever to the point where it can to

590
00:33:54,680 --> 00:33:56,720
Speaker 1: the point where it's played out to the its most

591
00:33:56,760 --> 00:34:01,360
Speaker 1: extreme form, which is, you don't help him. They got bootstraps,

592
00:34:01,400 --> 00:34:04,760
Speaker 1: don't help them, they got nobody's no, I don't know good.

593
00:34:04,240 --> 00:34:07,720
Speaker 1: You got your own bootstraps, that's right. The only way

594
00:34:07,760 --> 00:34:09,840
Speaker 1: you prove your self worth and if you do, and

595
00:34:09,880 --> 00:34:13,319
Speaker 1: if you do fail, it is absolutely always your fault

596
00:34:13,360 --> 00:34:16,359
Speaker 1: and nothing else could have possibly impacted whether you were

597
00:34:16,400 --> 00:34:19,279
Speaker 1: able to succeed or not. Um and it is. It's

598
00:34:19,320 --> 00:34:22,160
Speaker 1: just a way of controlling people. M hmm, absolutely in

599
00:34:22,200 --> 00:34:25,080
Speaker 1: a way to just always keep the emphasis on yourself

600
00:34:25,120 --> 00:34:26,799
Speaker 1: and never like, but what about the people that are

601
00:34:26,840 --> 00:34:29,759
Speaker 1: actually creating the environment in which I'm trying to operate in,

602
00:34:29,840 --> 00:34:34,040
Speaker 1: because there's another layer of control, power, influence that we

603
00:34:34,080 --> 00:34:36,120
Speaker 1: are that most people do not have a hand in.

604
00:34:36,520 --> 00:34:39,320
Speaker 1: And still thinking like, oh man, my damn bootstraps failed,

605
00:34:39,400 --> 00:34:41,640
Speaker 1: rather than like, no, man, systemic racism has me in

606
00:34:41,680 --> 00:34:44,160
Speaker 1: a fucking box that I cannot get out of, or

607
00:34:44,400 --> 00:34:46,720
Speaker 1: the fact of white supremacy has me in a box

608
00:34:47,000 --> 00:34:49,600
Speaker 1: that I cannot get out of UH. And yeah, it's

609
00:34:49,640 --> 00:34:51,600
Speaker 1: it is really hard to see two because I'm half

610
00:34:51,680 --> 00:34:55,440
Speaker 1: Japanese and on the other side of it, all I

611
00:34:55,520 --> 00:34:58,600
Speaker 1: know is to consider other people or like almost to

612
00:34:58,680 --> 00:35:01,480
Speaker 1: my own detriment, like to over extend myself because I

613
00:35:01,560 --> 00:35:04,480
Speaker 1: don't do not want to inconvenience someone else, especially if

614
00:35:04,520 --> 00:35:07,400
Speaker 1: I can do something to make it easier for other people.

615
00:35:07,880 --> 00:35:10,640
Speaker 1: And it is like hard to even reconcile those because

616
00:35:10,680 --> 00:35:14,640
Speaker 1: I'm being like, I also see how people think here too,

617
00:35:14,880 --> 00:35:17,080
Speaker 1: not that I'm like I believe that, but I understand

618
00:35:17,080 --> 00:35:19,160
Speaker 1: like that path. But at a certain point, you gotta

619
00:35:19,200 --> 00:35:20,480
Speaker 1: be able to be like, no, man, sh she isn't

620
00:35:20,480 --> 00:35:22,920
Speaker 1: not your vault. Like the way she gets better is

621
00:35:22,920 --> 00:35:24,799
Speaker 1: like when you actually fucking look at the people who

622
00:35:24,800 --> 00:35:28,239
Speaker 1: are actually in control here, rather than like putting laying

623
00:35:28,239 --> 00:35:32,920
Speaker 1: the blame always on yourself. Right. The other thing that

624
00:35:33,000 --> 00:35:35,200
Speaker 1: he raised, or one of the other things that a

625
00:35:35,320 --> 00:35:40,680
Speaker 1: leader raised his Federalist Society UH commentary, was how Conservatives

626
00:35:40,760 --> 00:35:46,840
Speaker 1: and Christians are being um discriminated against, and used the

627
00:35:46,920 --> 00:35:52,600
Speaker 1: homophobic cake shop owner in Colorado as like an example

628
00:35:52,960 --> 00:35:59,080
Speaker 1: where he thinks that like morality is being enforced against Christians,

629
00:35:59,120 --> 00:36:04,400
Speaker 1: so it's like he Yeah, it's complete double standard, complete

630
00:36:04,920 --> 00:36:09,520
Speaker 1: just to the highest level of the conservative movement, and

631
00:36:09,880 --> 00:36:12,200
Speaker 1: you know, the highest level of the of the U. S.

632
00:36:12,280 --> 00:36:16,239
Speaker 1: Government is just being infiltrated by this this ideology of

633
00:36:16,280 --> 00:36:21,560
Speaker 1: hate and unless it's their dumbass like anti scientific beliefs,

634
00:36:21,560 --> 00:36:25,560
Speaker 1: in which case they need to be protected. Right. Yeah,

635
00:36:25,760 --> 00:36:28,240
Speaker 1: one thing that I mean, speaking of the Supreme Court,

636
00:36:29,040 --> 00:36:32,800
Speaker 1: the New York Times reported that the President has been

637
00:36:32,840 --> 00:36:35,960
Speaker 1: asking around and saying that he has to wait and

638
00:36:36,120 --> 00:36:41,879
Speaker 1: see about whether the states are going to certify their

639
00:36:41,960 --> 00:36:45,200
Speaker 1: votes or how they're going to approach that um before

640
00:36:45,239 --> 00:36:48,480
Speaker 1: he admits defeat um, which is a step in the

641
00:36:48,520 --> 00:36:53,240
Speaker 1: process that people have been kind of worried about since

642
00:36:53,320 --> 00:36:58,320
Speaker 1: before the election, that he could work with Republican state

643
00:36:58,400 --> 00:37:03,719
Speaker 1: legislatures to basically claimed that the election was stolen from

644
00:37:03,800 --> 00:37:09,239
Speaker 1: him and then send a competing batch of electors, who

645
00:37:09,440 --> 00:37:12,440
Speaker 1: would then create a constitutional crisis because you would have

646
00:37:13,200 --> 00:37:18,400
Speaker 1: there's not like a clear answer of who would have

647
00:37:18,680 --> 00:37:22,239
Speaker 1: the right to cast the votes for that state. That

648
00:37:22,280 --> 00:37:24,799
Speaker 1: would go to the Supreme Court, which I think is

649
00:37:24,880 --> 00:37:27,880
Speaker 1: where some of his earlier it'll probably get a Supreme Court.

650
00:37:27,920 --> 00:37:33,000
Speaker 1: We'll see um statements were coming from And you know,

651
00:37:33,120 --> 00:37:36,960
Speaker 1: the good news is that so far, it doesn't seem

652
00:37:37,040 --> 00:37:41,880
Speaker 1: like any states are taking that taking the steps to

653
00:37:42,200 --> 00:37:47,239
Speaker 1: kind of go along with with that possibility. Um. But this,

654
00:37:48,320 --> 00:37:51,759
Speaker 1: the statement, the speech that Alito gave, really does not

655
00:37:52,080 --> 00:37:56,520
Speaker 1: make me very hopeful for anything going before the Supreme Court.

656
00:37:57,320 --> 00:38:00,239
Speaker 1: The writings on the wall, you know, I think it's

657
00:38:00,280 --> 00:38:02,120
Speaker 1: we're only going to see like worship out of the

658
00:38:02,120 --> 00:38:06,000
Speaker 1: Conservatives as you know, the numbers dwindle and they become

659
00:38:06,080 --> 00:38:09,239
Speaker 1: more and more of a mathematical minority that they're going

660
00:38:09,280 --> 00:38:11,880
Speaker 1: to have to resort to this kind of like language

661
00:38:11,920 --> 00:38:14,040
Speaker 1: and takes to be like come on, y'all, like the

662
00:38:14,120 --> 00:38:17,000
Speaker 1: whiteness is on the line like this, but we'll we'll,

663
00:38:17,280 --> 00:38:20,520
Speaker 1: we'll couch it in this other language. And I mean,

664
00:38:20,560 --> 00:38:22,520
Speaker 1: the other thing that we can only feel good about

665
00:38:22,640 --> 00:38:26,040
Speaker 1: is like you're saying, they're every like the legal arguments

666
00:38:26,040 --> 00:38:29,080
Speaker 1: they even raising court, Like the judges are even confused

667
00:38:29,120 --> 00:38:31,680
Speaker 1: as to what they're they're presenting, Like when you read

668
00:38:31,719 --> 00:38:36,200
Speaker 1: the transcripts, they're like, so you're saying, like I don't understand,

669
00:38:36,239 --> 00:38:39,440
Speaker 1: like you've got fake evidence here, but you auto sourced it,

670
00:38:39,600 --> 00:38:42,120
Speaker 1: Like how do you how can I admit this as evidence, like, well,

671
00:38:42,120 --> 00:38:46,480
Speaker 1: we used to capture, so anyone who submitted a whistleblower

672
00:38:46,560 --> 00:38:49,200
Speaker 1: complaint had to verify they were human. It's like yeah,

673
00:38:49,200 --> 00:38:51,320
Speaker 1: but you have things that are like outright like nonsense

674
00:38:51,360 --> 00:38:54,520
Speaker 1: in here too, and like all right, well well we'll

675
00:38:54,560 --> 00:38:56,239
Speaker 1: talk about that. And you have like even like the

676
00:38:56,320 --> 00:38:59,560
Speaker 1: law firms who are representing Trump in Pennsylvania, like they're

677
00:38:59,600 --> 00:39:02,279
Speaker 1: pulling out because they it ship just got so weird

678
00:39:02,320 --> 00:39:04,920
Speaker 1: when like Juliani claimed one of the whistleblowers was like

679
00:39:04,960 --> 00:39:07,200
Speaker 1: a regular person, it was actually an attorney for the

680
00:39:07,280 --> 00:39:09,400
Speaker 1: law firm, and they're like, okay, well we can't do

681
00:39:09,440 --> 00:39:11,399
Speaker 1: this ship anymore. So, I mean, it's not like they're

682
00:39:11,400 --> 00:39:13,839
Speaker 1: going about this in any kind of competent way, right.

683
00:39:13,920 --> 00:39:16,640
Speaker 1: This is not actually like they really could have planned

684
00:39:16,680 --> 00:39:19,719
Speaker 1: this out if they had wanted to, because President Trump

685
00:39:19,760 --> 00:39:21,960
Speaker 1: has been talking about this for a very long time,

686
00:39:22,360 --> 00:39:26,480
Speaker 1: but they didn't, and it seems very kind of piecemeal,

687
00:39:26,560 --> 00:39:28,719
Speaker 1: like let's kind of put this together, and it's it's

688
00:39:28,719 --> 00:39:33,200
Speaker 1: not being executed in any way that feels um I

689
00:39:33,280 --> 00:39:36,759
Speaker 1: thought through in any way to perform Like the nefarious

690
00:39:36,840 --> 00:39:40,239
Speaker 1: version is they were planning this from you know, after

691
00:39:40,280 --> 00:39:42,120
Speaker 1: the mid terms, like, Okay, we're just gonna have to

692
00:39:42,160 --> 00:39:45,760
Speaker 1: fully figure out how to just ensure no matter what happens,

693
00:39:45,760 --> 00:39:47,560
Speaker 1: that we can do it. But I think this it's

694
00:39:47,560 --> 00:39:51,800
Speaker 1: just so slap dash. And now even in Michigan, the

695
00:39:52,239 --> 00:39:55,600
Speaker 1: leaders of the state legislature there, who are Republicans, they

696
00:39:55,600 --> 00:39:58,240
Speaker 1: have said publicly like they're not going to funk around.

697
00:39:58,719 --> 00:40:01,480
Speaker 1: They're saying, once the once the election is certified, the

698
00:40:01,480 --> 00:40:04,200
Speaker 1: popular vote, it's certified, like the electors will go to

699
00:40:04,239 --> 00:40:06,840
Speaker 1: the winner of the popular vote, which will be Joe Biden.

700
00:40:07,160 --> 00:40:09,480
Speaker 1: So they're just like like, once it's certify, sure, we're

701
00:40:09,520 --> 00:40:12,600
Speaker 1: not gonna we'll we'll still say it's not certified or whatever.

702
00:40:12,640 --> 00:40:15,359
Speaker 1: But they're like the electors saying like no, like there's no,

703
00:40:15,480 --> 00:40:18,879
Speaker 1: there's no interest in that um because it's just it's

704
00:40:19,080 --> 00:40:21,759
Speaker 1: completely at a certain level, like there are some conservatives

705
00:40:21,760 --> 00:40:24,239
Speaker 1: are like, yeah, but that's kind of like the deal here.

706
00:40:24,280 --> 00:40:27,040
Speaker 1: It's like unless you can do like sort of more

707
00:40:27,160 --> 00:40:30,400
Speaker 1: cynical voter suppression to try and eque out like margins,

708
00:40:30,719 --> 00:40:32,920
Speaker 1: we can't go this far to be like oh no,

709
00:40:33,000 --> 00:40:38,160
Speaker 1: this didn't happen. So some institutions are holding uh and

710
00:40:38,280 --> 00:40:40,560
Speaker 1: but I mean I don't think you can blame the

711
00:40:40,600 --> 00:40:44,200
Speaker 1: Republicans for not wanting to thwart the law, because like

712
00:40:44,360 --> 00:40:47,319
Speaker 1: the best that like GOP operatives can do to like

713
00:40:47,480 --> 00:40:51,120
Speaker 1: create whistleblowers, Like especially in Michigan. There's this clip I'm

714
00:40:51,160 --> 00:40:54,400
Speaker 1: just gonna play of someone who they paraded out on

715
00:40:54,520 --> 00:40:59,000
Speaker 1: Fox who you know, was apparently worked for Dominion or

716
00:40:59,080 --> 00:41:01,600
Speaker 1: was hired by Dominion as some kind of like I

717
00:41:01,800 --> 00:41:05,719
Speaker 1: t person on the day. But it's just I'm not

718
00:41:05,760 --> 00:41:07,840
Speaker 1: even sure what this person is trying to say. I

719
00:41:07,920 --> 00:41:09,719
Speaker 1: think what they're trying to talk about this on lou

720
00:41:09,840 --> 00:41:13,440
Speaker 1: Dab show, like why there were vans in Michigan. That's

721
00:41:13,440 --> 00:41:16,160
Speaker 1: suddenly like what were these vans that were there? And

722
00:41:16,719 --> 00:41:19,719
Speaker 1: I don't just try and keep up UM with this

723
00:41:19,840 --> 00:41:22,839
Speaker 1: low energy con job. So I worked at twenty four

724
00:41:22,840 --> 00:41:25,759
Speaker 1: hour shift. UM. I started at six am and I

725
00:41:25,760 --> 00:41:30,880
Speaker 1: got off at six pm or six am the next day. UM.

726
00:41:30,920 --> 00:41:34,799
Speaker 1: So I started at six am November three, got off

727
00:41:34,840 --> 00:41:38,960
Speaker 1: at six a m November four. So I was there

728
00:41:39,080 --> 00:41:43,239
Speaker 1: during their day shifty and their night shift. UM. The

729
00:41:43,520 --> 00:41:49,040
Speaker 1: city provides the workers with food for their shift. Well,

730
00:41:49,040 --> 00:41:54,480
Speaker 1: they only had enough food for one third of their workers.

731
00:41:55,800 --> 00:41:59,560
Speaker 1: So that is the reason why they were claiming that

732
00:41:59,600 --> 00:42:04,640
Speaker 1: these vents were brought in, But these vans did not

733
00:42:04,719 --> 00:42:08,960
Speaker 1: have taken ahead of them. And the vans, the vans

734
00:42:09,000 --> 00:42:13,080
Speaker 1: that showed up, they were supposed to be filled with food,

735
00:42:13,120 --> 00:42:15,600
Speaker 1: What did what did they have in them? Do you know?

736
00:42:16,840 --> 00:42:21,280
Speaker 1: I never saw anything being brought out of the vans.

737
00:42:21,520 --> 00:42:24,400
Speaker 1: I know that whatever was being brought out of the

738
00:42:24,480 --> 00:42:26,880
Speaker 1: vans was being brought out of the back of the vans.

739
00:42:27,719 --> 00:42:30,520
Speaker 1: But um, I was not allowed over in that area

740
00:42:30,719 --> 00:42:36,680
Speaker 1: at all. Okay, so what like, you gotta do better

741
00:42:36,719 --> 00:42:40,359
Speaker 1: than this? Not somebody who would match hold on? First

742
00:42:40,400 --> 00:42:43,239
Speaker 1: of all, who works a twenty four hour shift like they,

743
00:42:43,440 --> 00:42:45,920
Speaker 1: I mean illegally people would, but like I, I had

744
00:42:45,920 --> 00:42:49,040
Speaker 1: to do the six am to six am shift and

745
00:42:49,080 --> 00:42:50,839
Speaker 1: then like the main thing is like, and they only

746
00:42:50,840 --> 00:42:56,560
Speaker 1: had food for one third of the people. Therefore a

747
00:42:56,680 --> 00:43:00,239
Speaker 1: van came, but they weren't opening that. I don't think

748
00:43:00,280 --> 00:43:03,000
Speaker 1: they took anything out the back. Maybe the passenger side door,

749
00:43:03,120 --> 00:43:04,840
Speaker 1: I don't know, But I don't know. I don't know

750
00:43:04,920 --> 00:43:06,919
Speaker 1: what the van it's like. It's so I don't even

751
00:43:06,920 --> 00:43:09,200
Speaker 1: know what the arc is of this story. I mean

752
00:43:09,520 --> 00:43:12,759
Speaker 1: all I can think. Listen, I've I've worked in TV,

753
00:43:12,880 --> 00:43:15,359
Speaker 1: I still work in TV and correspondent for Vice News.

754
00:43:15,400 --> 00:43:21,200
Speaker 1: I I don't who pre interviewed this person, That's my question.

755
00:43:22,239 --> 00:43:27,000
Speaker 1: What Normally, like a producer will pre interview and like

756
00:43:27,080 --> 00:43:29,520
Speaker 1: prep the person to get ready to like tell their story,

757
00:43:29,560 --> 00:43:31,759
Speaker 1: and like, this is like the least convincing way that

758
00:43:31,840 --> 00:43:34,320
Speaker 1: I would tell that story. And frankly, I don't know

759
00:43:34,360 --> 00:43:35,839
Speaker 1: if there's a convincing way to tell it, but like

760
00:43:37,320 --> 00:43:41,239
Speaker 1: m hmm, yeah, it's like because especially for something as

761
00:43:41,320 --> 00:43:44,960
Speaker 1: massively important, if you're going to, you know, create some

762
00:43:45,120 --> 00:43:50,200
Speaker 1: semblance of legitimacy to this clearly just nonsense like lie

763
00:43:50,760 --> 00:43:53,680
Speaker 1: like yeah, get that ship rehearsed, rather than let the meander.

764
00:43:53,719 --> 00:43:55,919
Speaker 1: And like lou Dobbs is also not like nimble enough

765
00:43:55,960 --> 00:43:58,399
Speaker 1: to like interject to keep it going, like letting her

766
00:43:58,400 --> 00:44:01,520
Speaker 1: trail off. And he's like, so there was an oh food,

767
00:44:02,360 --> 00:44:08,319
Speaker 1: there were vans. Yeah, yeah, Okay, what are we what

768
00:44:08,360 --> 00:44:10,799
Speaker 1: are we supposed to say? Now? Like so therefore what

769
00:44:11,320 --> 00:44:16,239
Speaker 1: so what are you saying? Yeah? That was confusing. It

770
00:44:16,280 --> 00:44:19,400
Speaker 1: seemed like the person who had prepped him for what

771
00:44:19,480 --> 00:44:23,279
Speaker 1: was going to be revealed was whoever like writes the

772
00:44:23,320 --> 00:44:27,480
Speaker 1: promos and was like in a earth chattering revelation coming

773
00:44:27,800 --> 00:44:30,359
Speaker 1: and then he like didn't know that it was just

774
00:44:30,400 --> 00:44:33,520
Speaker 1: going to be that they didn't that there was food

775
00:44:33,719 --> 00:44:36,400
Speaker 1: or not food coming from a van, and he was

776
00:44:36,480 --> 00:44:41,239
Speaker 1: just like confused. It seemed like, yeah, I'd fire my producers.

777
00:44:44,120 --> 00:44:48,680
Speaker 1: I'm not advocating for anybody getting fired. You're not. You're

778
00:44:48,760 --> 00:44:56,160
Speaker 1: not You're not. I am a soulless ghoul, and I

779
00:44:56,200 --> 00:44:59,520
Speaker 1: think they should have their jobs too, because they made

780
00:44:59,520 --> 00:45:02,600
Speaker 1: that ship looks so dumb that it actually helped out. So, yeah,

781
00:45:03,200 --> 00:45:07,240
Speaker 1: we're doing your job by doing nobody had Trump administration

782
00:45:07,320 --> 00:45:10,239
Speaker 1: should be fired. Everybody should keep their job right up

783
00:45:10,280 --> 00:45:13,920
Speaker 1: until their asses kicked out of power. All right, let's

784
00:45:13,920 --> 00:45:16,840
Speaker 1: take another break. We'll come back and talk about some bullshit.

785
00:45:27,239 --> 00:45:31,839
Speaker 1: And we're back, and what's the latest. We haven't heard

786
00:45:31,880 --> 00:45:34,120
Speaker 1: from Disney in a wild miles. What's going on there?

787
00:45:34,200 --> 00:45:38,240
Speaker 1: Fucking crying mouse gang is crying their eyes out because

788
00:45:38,320 --> 00:45:43,520
Speaker 1: their money's going down. Uh. They had like a meeting

789
00:45:43,680 --> 00:45:45,880
Speaker 1: or some online thing and they said, you know, in

790
00:45:45,920 --> 00:45:48,319
Speaker 1: the state of California, they're very mad because they want

791
00:45:48,360 --> 00:45:51,720
Speaker 1: Disneyland to be open. Okay, okay, is it that hard?

792
00:45:51,800 --> 00:45:54,200
Speaker 1: They said, we are quote, we are very disappointed that

793
00:45:54,239 --> 00:45:57,440
Speaker 1: the state of California continues to keep Disneyland closed. This

794
00:45:57,520 --> 00:45:59,960
Speaker 1: is the Disney CEO, Bop Chappic or whatever I say.

795
00:46:00,360 --> 00:46:05,520
Speaker 1: And he called the pandemic guidelines in the state quote arbitrary. Uh,

796
00:46:05,560 --> 00:46:07,479
Speaker 1: and then being like, because you know, we've been able

797
00:46:07,520 --> 00:46:11,000
Speaker 1: to open Disney World in Orlando, so why can't we

798
00:46:11,040 --> 00:46:13,920
Speaker 1: do that just because there seems to be some kind

799
00:46:13,960 --> 00:46:17,239
Speaker 1: of pandemic going on. I still don't understand they let

800
00:46:17,320 --> 00:46:19,520
Speaker 1: us do it in Florida. And there's now a group

801
00:46:19,560 --> 00:46:22,680
Speaker 1: of mayors who sent a letter to Gavin Newsom in

802
00:46:22,719 --> 00:46:27,719
Speaker 1: California being like, open Universal Studios and open Disneyland or

803
00:46:27,800 --> 00:46:32,000
Speaker 1: people will lose their jobs. And it's I like that

804
00:46:32,040 --> 00:46:34,920
Speaker 1: there's always like this threat of people being like laid

805
00:46:34,920 --> 00:46:39,040
Speaker 1: off rather than like hi, since like rather than being like, Okay,

806
00:46:39,040 --> 00:46:41,000
Speaker 1: here's the deal, since we're not willing to do right

807
00:46:41,040 --> 00:46:46,400
Speaker 1: by our employees as this multinational, billion billions dollar company,

808
00:46:47,000 --> 00:46:50,280
Speaker 1: h Gavin Newsoon, Gavin Newsom has given us no choice

809
00:46:50,520 --> 00:46:53,000
Speaker 1: but to lay people off in order to not upset

810
00:46:53,040 --> 00:46:55,400
Speaker 1: the people that are holding onto our stock at the moment.

811
00:46:55,480 --> 00:46:58,239
Speaker 1: That's sort of what is going on here. And I

812
00:46:58,239 --> 00:47:00,520
Speaker 1: don't know despite all of this, like boo who ship

813
00:47:00,600 --> 00:47:03,239
Speaker 1: like they they've actually made a lot of money from

814
00:47:03,320 --> 00:47:08,000
Speaker 1: Disney plus subscriptions, so all rings like very fucking corporate

815
00:47:08,360 --> 00:47:12,120
Speaker 1: crimeer river nonsense. But like it's there are people though,

816
00:47:12,160 --> 00:47:15,200
Speaker 1: who are even protesting, Like who aren't who are just

817
00:47:15,320 --> 00:47:21,080
Speaker 1: Disney fans to reopen Disneyland. It's all very very American,

818
00:47:21,600 --> 00:47:27,919
Speaker 1: very American people protesting on behalf. No, yeah, it's it's

819
00:47:28,000 --> 00:47:33,600
Speaker 1: a very uniquely American dilemma behalf of corporations to let

820
00:47:33,680 --> 00:47:38,719
Speaker 1: them kill you. Yeah, yeah, that's It's really hard to

821
00:47:38,760 --> 00:47:41,600
Speaker 1: make a convince in a convincing argument for this, you know,

822
00:47:41,760 --> 00:47:45,960
Speaker 1: it's it's from what hasn't Disney been in trouble in

823
00:47:46,000 --> 00:47:50,200
Speaker 1: the past for not paying its employees well at these

824
00:47:50,320 --> 00:47:54,080
Speaker 1: at these amusement parks at all? Right, Like I'm not

825
00:47:54,160 --> 00:47:57,160
Speaker 1: sure that that, you know, given their history, I'm not

826
00:47:57,200 --> 00:48:00,360
Speaker 1: sure that I would threaten to fire them because and

827
00:48:00,440 --> 00:48:04,360
Speaker 1: basically throw tantrum right uh and and blame it on

828
00:48:04,400 --> 00:48:06,320
Speaker 1: the governor. It just doesn't seem like a good tactic

829
00:48:06,360 --> 00:48:10,080
Speaker 1: to me. So on the one hand, yes they don't

830
00:48:10,280 --> 00:48:14,280
Speaker 1: pay them well, and yes they do endanger their lives

831
00:48:14,360 --> 00:48:16,640
Speaker 1: or at least argue for the ability to. But on

832
00:48:16,680 --> 00:48:20,400
Speaker 1: the other hand, they do call them cast members instead

833
00:48:20,400 --> 00:48:23,920
Speaker 1: of employees, so or wage slaves, yeah, which would be

834
00:48:23,920 --> 00:48:27,840
Speaker 1: more appropriate the members cast members. So could you imagine

835
00:48:27,880 --> 00:48:31,239
Speaker 1: like us using such euphemistic language like that, like, oh,

836
00:48:31,320 --> 00:48:34,520
Speaker 1: those are cast members who are currently begging you for help,

837
00:48:35,200 --> 00:48:38,120
Speaker 1: but don't mind them. Uh oh, I guess tears are

838
00:48:38,160 --> 00:48:42,439
Speaker 1: coming out of that Mickey Mouse mask, the like the yeah, well,

839
00:48:42,880 --> 00:48:46,439
Speaker 1: it's it's America and it's this. But it's the same

840
00:48:46,440 --> 00:48:48,759
Speaker 1: tact that like a lot of people use who are

841
00:48:48,760 --> 00:48:51,880
Speaker 1: in industries where corporations are willing to ship jobs abroad.

842
00:48:52,320 --> 00:48:54,960
Speaker 1: Is go, oh, it's not me that made the selfish

843
00:48:55,040 --> 00:48:57,680
Speaker 1: choice to just ship your job abroad where the margins

844
00:48:57,680 --> 00:49:02,000
Speaker 1: are greater for me from a profit standpoint, it's these immigrants.

845
00:49:02,440 --> 00:49:05,080
Speaker 1: And then they're like, yeah, that's right. It wasn't my

846
00:49:05,239 --> 00:49:08,480
Speaker 1: boss who was under paying me and never actually stood

847
00:49:08,560 --> 00:49:11,080
Speaker 1: up for me. It's this guy he said to blame

848
00:49:11,160 --> 00:49:13,920
Speaker 1: this nebulous group immigrants. And I think this helps for

849
00:49:13,960 --> 00:49:16,440
Speaker 1: the narrative of like the same company about starting to

850
00:49:16,440 --> 00:49:19,440
Speaker 1: put this at the feet of Gavin Newsom rather than themselves,

851
00:49:19,520 --> 00:49:21,719
Speaker 1: you know, like that's what this is always about. It's like, well,

852
00:49:21,719 --> 00:49:23,920
Speaker 1: it's not us. We're not being greedy, because you get it.

853
00:49:23,960 --> 00:49:26,160
Speaker 1: If we if we start taking hits to our profits,

854
00:49:26,160 --> 00:49:30,920
Speaker 1: then like what are we a less profitable company? God

855
00:49:31,200 --> 00:49:35,719
Speaker 1: God forbid? Yes, alright. Another story that we've kind of

856
00:49:36,000 --> 00:49:40,600
Speaker 1: lost sight of tragically, you know, while the election and

857
00:49:41,120 --> 00:49:45,640
Speaker 1: the pandemic are going on, we lost sight of the renaissance,

858
00:49:45,680 --> 00:49:51,560
Speaker 1: the Jeremy Renner Rennor career renaissance, his emerging as a

859
00:49:52,440 --> 00:49:56,880
Speaker 1: musical talent uh in into our world, and I just

860
00:49:56,920 --> 00:50:00,320
Speaker 1: wanted to check in because somebody from the Zeke Gang

861
00:50:00,480 --> 00:50:03,400
Speaker 1: called to our attention that he was dropping a video

862
00:50:04,120 --> 00:50:06,680
Speaker 1: in the next I think it was at the end

863
00:50:06,719 --> 00:50:10,359
Speaker 1: of last week. That was a lyric video. And he's

864
00:50:10,400 --> 00:50:12,960
Speaker 1: dropped a bunch of songs since Heaven Don't Got a Name,

865
00:50:13,560 --> 00:50:16,719
Speaker 1: which got a lot of attention. Heaven is it, Heaven

866
00:50:16,760 --> 00:50:19,320
Speaker 1: don't got a name, Heaven ain't got a name? Heaven

867
00:50:19,480 --> 00:50:23,200
Speaker 1: or I don't know, Yeah, ain't or don't got either one.

868
00:50:23,760 --> 00:50:28,120
Speaker 1: His lyrical prowess. I'm kind of blown away by what

869
00:50:28,120 --> 00:50:31,880
Speaker 1: what he has continued to do because he has really

870
00:50:32,000 --> 00:50:36,719
Speaker 1: doubled down on the aesthetic of like meaninglessness and like

871
00:50:36,920 --> 00:50:46,640
Speaker 1: early nineties, like emo, macho bravado, like weird cheesiness, I

872
00:50:46,680 --> 00:50:49,680
Speaker 1: love that you struggle to, like pinpoint, like where his

873
00:50:49,960 --> 00:50:55,080
Speaker 1: creative center is? You know? So his he's got. He's

874
00:50:55,120 --> 00:51:00,719
Speaker 1: really into using metaphors to describe relationships. His newest song

875
00:51:00,800 --> 00:51:03,840
Speaker 1: that just dropped, that had the lyric video drop at

876
00:51:03,880 --> 00:51:07,799
Speaker 1: the end of last week was Stereo Love uh and

877
00:51:08,560 --> 00:51:11,720
Speaker 1: the In case you can't guess what the metaphor is there,

878
00:51:12,480 --> 00:51:14,400
Speaker 1: I'll just read you a couple of lyrics. She speaks

879
00:51:14,440 --> 00:51:17,320
Speaker 1: to me just like a song. Her words a melody.

880
00:51:17,400 --> 00:51:20,680
Speaker 1: I can sing along. Her symphony is so sweet. I

881
00:51:20,719 --> 00:51:24,919
Speaker 1: can't believe her sound. She's my stereo love life syn

882
00:51:25,000 --> 00:51:27,799
Speaker 1: key the right arrangement. Her tempo is fine with me.

883
00:51:27,880 --> 00:51:33,120
Speaker 1: And she loves my phrasing. Yeah, loves my phrasing. Let

884
00:51:33,320 --> 00:51:37,120
Speaker 1: her conduct and Q my choir. We're both in harmony.

885
00:51:37,680 --> 00:51:44,640
Speaker 1: She's mysterio love. So some of his other metaphor yes,

886
00:51:44,880 --> 00:51:48,640
Speaker 1: very lyrically complex. Some of those other metaphor based songs,

887
00:51:49,320 --> 00:51:53,600
Speaker 1: Love is a War, and some lyrics from that landmine

888
00:51:53,719 --> 00:51:57,880
Speaker 1: frontline We're Soldiers? When did love become a war? Bullets

889
00:51:57,880 --> 00:52:01,480
Speaker 1: shot through the floor because love is war? And also

890
00:52:01,760 --> 00:52:05,040
Speaker 1: she's a fire. I know she's going to be my

891
00:52:05,120 --> 00:52:07,920
Speaker 1: third degree embers in her eyes. She's gonna make a

892
00:52:07,960 --> 00:52:10,840
Speaker 1: mess of me. She lights me up with her flames

893
00:52:11,000 --> 00:52:14,600
Speaker 1: so bright. She's a fire, so don't get close. She'll

894
00:52:14,680 --> 00:52:20,120
Speaker 1: kill you slow, which isn't a thing. I think, I

895
00:52:20,160 --> 00:52:23,160
Speaker 1: think so, But like fire in and of itself is

896
00:52:23,200 --> 00:52:29,640
Speaker 1: not a slow acting thing. So hot, there's smoke, she's

897
00:52:29,640 --> 00:52:34,120
Speaker 1: a fire. Stop dropping roll on and on, she burns

898
00:52:34,200 --> 00:52:37,279
Speaker 1: the night. And then another song that's come out in

899
00:52:37,360 --> 00:52:41,080
Speaker 1: the since we last checked him with his recording career

900
00:52:41,239 --> 00:52:45,160
Speaker 1: is a song called Sippy Cup, which is a song

901
00:52:45,280 --> 00:52:49,280
Speaker 1: that seems to be about too hungover people getting drunk

902
00:52:49,320 --> 00:52:53,760
Speaker 1: together to cura hangover while drinking out of an actual

903
00:52:53,800 --> 00:52:57,879
Speaker 1: sippy cup. At least there's some storytelling there, you know what,

904
00:52:58,600 --> 00:53:02,520
Speaker 1: extra points for storytelling. But it's very specific, it is.

905
00:53:02,600 --> 00:53:05,520
Speaker 1: But he doesn't. I get the sense he doesn't know

906
00:53:05,560 --> 00:53:09,480
Speaker 1: what a sippy cup is because he's just he's just

907
00:53:09,600 --> 00:53:12,880
Speaker 1: referring to a cup that he's taking SIPs out of

908
00:53:12,920 --> 00:53:16,200
Speaker 1: and calling it a sippy cup. Oh I see, Yeah,

909
00:53:16,280 --> 00:53:18,719
Speaker 1: he thinks it's just a fun, flirty way to say

910
00:53:18,719 --> 00:53:21,040
Speaker 1: a cup you sip out of I think is like

911
00:53:21,160 --> 00:53:25,600
Speaker 1: massipih Cole. Uh. It's his fun and flirty song about

912
00:53:25,640 --> 00:53:30,680
Speaker 1: being hungover and curing that with yeah exactly. Well as

913
00:53:30,680 --> 00:53:33,120
Speaker 1: we know, heaven don't got a name. So, but I

914
00:53:33,120 --> 00:53:37,160
Speaker 1: I feel like this might be like his the character

915
00:53:37,320 --> 00:53:45,080
Speaker 1: he's been cultivating is this very specific, wildly improbable version

916
00:53:45,160 --> 00:53:47,440
Speaker 1: of like I don't know. It reminds me of like

917
00:53:47,760 --> 00:53:56,680
Speaker 1: a person from a Canadian nineties, like one of those

918
00:53:56,719 --> 00:54:00,160
Speaker 1: movies from Canada a Little too Much Hard in the

919
00:54:00,200 --> 00:54:07,640
Speaker 1: American we gave you Kian Reeves, Sandra, Oh, we gave

920
00:54:07,719 --> 00:54:11,719
Speaker 1: you fucking j Bruschell, we gave you Eugene Levy, Like

921
00:54:11,800 --> 00:54:14,600
Speaker 1: what are you doing? I'm just saying that the movie

922
00:54:16,080 --> 00:54:18,359
Speaker 1: When I Got When I have been to Canada and

923
00:54:18,400 --> 00:54:22,919
Speaker 1: like turned on HBO there, it's like a whole different version. Yeah,

924
00:54:22,960 --> 00:54:26,200
Speaker 1: we're like we're like five years behind forever. And there's

925
00:54:26,239 --> 00:54:29,400
Speaker 1: also like different movies that are like well produced and

926
00:54:29,520 --> 00:54:31,960
Speaker 1: look like, oh yeah, that's a that's a movie. Why

927
00:54:32,000 --> 00:54:35,160
Speaker 1: haven't I heard of this? Uh? And it's just like

928
00:54:35,320 --> 00:54:40,520
Speaker 1: a whole different universe of movies that exist in Canada

929
00:54:40,600 --> 00:54:43,680
Speaker 1: that are like produced by the Canadian or with the

930
00:54:43,680 --> 00:54:46,960
Speaker 1: help of the Canadian government. That's correct. Subsidizing for the

931
00:54:47,120 --> 00:54:51,920
Speaker 1: arts is substantial and sometimes some very bad things. And

932
00:54:52,719 --> 00:54:55,239
Speaker 1: that's all I'm saying. I'll allow it. Fine, Thank you

933
00:54:55,280 --> 00:54:58,680
Speaker 1: for explaining. I'm glad that you actually have some background

934
00:54:58,680 --> 00:55:01,680
Speaker 1: and some context that makes me be a little bit

935
00:55:01,719 --> 00:55:07,440
Speaker 1: better about your hot nineties Canadian tape. Uh. But it

936
00:55:07,920 --> 00:55:11,479
Speaker 1: I do wonder like if he is going for that,

937
00:55:11,760 --> 00:55:20,320
Speaker 1: like it's so synthetic and so like fake that he's

938
00:55:21,280 --> 00:55:23,640
Speaker 1: as my mom would say, he's an odd one. That

939
00:55:23,719 --> 00:55:27,279
Speaker 1: might be. I'll keep telling I'll keep talking about this,

940
00:55:27,320 --> 00:55:30,360
Speaker 1: but like for my mom, votes in the Golden Globes,

941
00:55:30,440 --> 00:55:33,960
Speaker 1: and like sometimes people who are nominated will like begin

942
00:55:34,120 --> 00:55:37,240
Speaker 1: sending holiday cards, like just to kind of keep staying

943
00:55:37,239 --> 00:55:39,440
Speaker 1: the good graces of the voting the voters of the

944
00:55:39,440 --> 00:55:42,480
Speaker 1: Golden Globes that way, Like like Army Hammer will always

945
00:55:42,520 --> 00:55:46,040
Speaker 1: send a card every year. Uh, and Jeremy render would

946
00:55:46,080 --> 00:55:49,000
Speaker 1: for a while, Army Hammers looks like a family photo.

947
00:55:49,080 --> 00:55:54,080
Speaker 1: It's him, his wife's children, they're smiling. Uh. Jeremy Renners

948
00:55:54,320 --> 00:55:56,719
Speaker 1: was him in his living room with his hand in

949
00:55:56,760 --> 00:55:59,279
Speaker 1: his pocket, standing in front of like a wall, like

950
00:55:59,360 --> 00:56:02,960
Speaker 1: not even miling, and it's like happy holidays, and it

951
00:56:03,080 --> 00:56:09,920
Speaker 1: was like there was yeah, you remember his name? Because

952
00:56:09,920 --> 00:56:12,239
Speaker 1: I gotta say I got I kind of had to

953
00:56:12,239 --> 00:56:16,480
Speaker 1: google this guy that makes sense. Yeah, which I'm not

954
00:56:16,560 --> 00:56:18,319
Speaker 1: super proud of because I feel like I should have

955
00:56:18,400 --> 00:56:23,000
Speaker 1: known who Jeremy Renies. I don't know. I'm like, that's

956
00:56:23,040 --> 00:56:25,680
Speaker 1: kind of the coolest shit I've ever heard. Like, you know,

957
00:56:25,719 --> 00:56:27,319
Speaker 1: I don't really know who the I don't even know

958
00:56:27,320 --> 00:56:31,439
Speaker 1: who that's dope, Like this person has. I was like, oh,

959
00:56:31,520 --> 00:56:36,920
Speaker 1: yeah that guy, Yeah, hurt Locker face, it's he has.

960
00:56:37,120 --> 00:56:40,600
Speaker 1: He had a very interesting career because he like after

961
00:56:40,680 --> 00:56:44,600
Speaker 1: hurt Locker he was nominated. He had a really strong

962
00:56:44,640 --> 00:56:48,080
Speaker 1: supporting role in the Town, and then Hollywood was like,

963
00:56:48,120 --> 00:56:51,680
Speaker 1: this is the next dude, and they like hired him

964
00:56:51,760 --> 00:56:55,200
Speaker 1: to be to replace Tom Cruise in the Mission Impossible movies,

965
00:56:55,600 --> 00:56:58,239
Speaker 1: and they hired him to replace Matt Damon in the

966
00:56:58,280 --> 00:57:01,719
Speaker 1: Born movies. And in the Born movies they made one

967
00:57:01,840 --> 00:57:06,239
Speaker 1: with him as as like Jason Borne Heir Apparent, and

968
00:57:06,320 --> 00:57:10,000
Speaker 1: people were just like, yeah, no, not really, like it

969
00:57:10,040 --> 00:57:12,240
Speaker 1: was just and then they went back to Matt Damon

970
00:57:12,560 --> 00:57:16,840
Speaker 1: immediately after in the Mission Impossible movies, like he came

971
00:57:16,880 --> 00:57:19,760
Speaker 1: on as a co Star, but they like Tom Cruise

972
00:57:19,840 --> 00:57:23,040
Speaker 1: just through sheer tyranny of will just like was not

973
00:57:23,200 --> 00:57:25,800
Speaker 1: willing to let it happen, and he just like kind

974
00:57:25,800 --> 00:57:29,480
Speaker 1: of went away and it just never happened in that

975
00:57:29,720 --> 00:57:32,760
Speaker 1: battle between two aliens. I put my money on Tom

976
00:57:32,760 --> 00:57:37,120
Speaker 1: Cruise's powers, his alien powers over. The interviews with Renner

977
00:57:37,240 --> 00:57:43,600
Speaker 1: are so interesting because he just seems like a loosely

978
00:57:44,040 --> 00:57:49,920
Speaker 1: cobbled together assemblage of anecdotes that he heard about humans,

979
00:57:49,960 --> 00:57:53,360
Speaker 1: Like he's a he's a house flipper. He's like, I'm

980
00:57:53,360 --> 00:57:56,440
Speaker 1: a pacifist. I never fight. But in that same interview,

981
00:57:56,800 --> 00:57:59,000
Speaker 1: he tells the story about how a guy made fun

982
00:57:59,040 --> 00:58:03,000
Speaker 1: of his scarf, and so he and then shoved his sister,

983
00:58:03,360 --> 00:58:05,439
Speaker 1: and so he got behind him and choked him out,

984
00:58:05,600 --> 00:58:09,960
Speaker 1: put him to sleep. Okay, yeah, nobody likes getting shoved,

985
00:58:10,040 --> 00:58:12,720
Speaker 1: especially whence her family member. I get it, But choking

986
00:58:13,120 --> 00:58:16,640
Speaker 1: it's wild. Put him to sleep. That sounds like a story.

987
00:58:17,160 --> 00:58:19,600
Speaker 1: That sounds like when I used to take Kravmaga, and

988
00:58:19,640 --> 00:58:23,560
Speaker 1: the instructors would try and pretend it was a scenario

989
00:58:23,680 --> 00:58:27,640
Speaker 1: what you're defending yourself, but you assaulted somebody, when it's like,

990
00:58:28,040 --> 00:58:31,160
Speaker 1: I don't know, maybe he like why he shoved your sister.

991
00:58:31,640 --> 00:58:33,960
Speaker 1: Oh you'll have to choke No, no, no, you made

992
00:58:33,960 --> 00:58:37,160
Speaker 1: a mistake, Like that's how behind him you choke him out.

993
00:58:37,160 --> 00:58:39,320
Speaker 1: He choke him out like because he's proud, Like he's

994
00:58:39,360 --> 00:58:41,680
Speaker 1: like proud of that ship. At the end he's like, yeah, man,

995
00:58:41,720 --> 00:58:43,680
Speaker 1: so I got behind, choked him out, put him to sleep.

996
00:58:43,840 --> 00:58:46,240
Speaker 1: Like okay, so now you're toxic, big dig guy. But

997
00:58:46,360 --> 00:58:50,160
Speaker 1: before you're the pacifist like it is maybe maybe he

998
00:58:50,280 --> 00:58:54,440
Speaker 1: is an algorithm, you know that is like just processing

999
00:58:54,480 --> 00:58:56,800
Speaker 1: this data and being like, yes, this is another human

1000
00:58:56,840 --> 00:58:59,960
Speaker 1: experience that I had when in which my sister was shoved.

1001
00:59:00,600 --> 00:59:03,800
Speaker 1: I had to choke this mf out. So I don't know,

1002
00:59:04,760 --> 00:59:09,600
Speaker 1: sippy cup. That is the thing that I was gonna ask,

1003
00:59:10,680 --> 00:59:12,880
Speaker 1: what is a very Canadian movie in the vein of

1004
00:59:12,880 --> 00:59:16,440
Speaker 1: what Jack's talking about, like for people to like to

1005
00:59:16,560 --> 00:59:18,200
Speaker 1: you as a Canadian, because I want you to be

1006
00:59:18,240 --> 00:59:20,840
Speaker 1: able to sort of put me on to be like, Okay,

1007
00:59:20,880 --> 00:59:23,240
Speaker 1: what Jack is talking about is summed up in a

1008
00:59:23,400 --> 00:59:29,240
Speaker 1: in these films or director's work. Okay, so here's the thing.

1009
00:59:29,320 --> 00:59:33,080
Speaker 1: I'm from Quebec, which means that I my like movie

1010
00:59:33,120 --> 00:59:38,440
Speaker 1: references are all like extremely French or like kip rather. Actually,

1011
00:59:38,440 --> 00:59:40,400
Speaker 1: my mother will be very upset at me for saying

1012
00:59:40,400 --> 00:59:42,720
Speaker 1: that they're French, but they're like in the French language,

1013
00:59:42,720 --> 00:59:46,320
Speaker 1: their francophone so and like kip Qua movies are actually

1014
00:59:46,400 --> 00:59:49,280
Speaker 1: like they win Pan Medal all the time. They're like

1015
00:59:49,320 --> 00:59:51,520
Speaker 1: it can all the time. They're like actually very good

1016
00:59:51,520 --> 00:59:55,000
Speaker 1: movies except for a few sinkers. I don't know, I

1017
00:59:55,080 --> 00:59:57,840
Speaker 1: have like favorite anglophone Canadian movies, but I don't know

1018
00:59:57,840 --> 01:00:00,160
Speaker 1: if I've been paying attention to the terrible ones is

1019
01:00:00,200 --> 01:00:02,760
Speaker 1: like or not even terrible, but I guess like what's

1020
01:00:02,920 --> 01:00:05,240
Speaker 1: uh yeah, I mean anything because I think one of

1021
01:00:05,280 --> 01:00:09,200
Speaker 1: my favorite really random Canadian movies is called Men with

1022
01:00:09,280 --> 01:00:13,320
Speaker 1: Brooms and it is a movie about a guy who

1023
01:00:13,360 --> 01:00:21,880
Speaker 1: makes like a curling comeback. Um he's so good, highly recommended,

1024
01:00:22,160 --> 01:00:24,720
Speaker 1: definitely worth your time. He was like a small town guy,

1025
01:00:24,840 --> 01:00:28,120
Speaker 1: he used to be really good. Something traumatic happens and

1026
01:00:28,120 --> 01:00:30,760
Speaker 1: like people are just trying to get him to play again. Uh,

1027
01:00:30,920 --> 01:00:34,160
Speaker 1: Men with Brooms is a very good movie. Um. One

1028
01:00:34,200 --> 01:00:38,920
Speaker 1: that crossed over was onto American TV, and then like

1029
01:00:39,000 --> 01:00:43,880
Speaker 1: really made an impression was Teen, which which is about

1030
01:00:43,880 --> 01:00:50,520
Speaker 1: a teen which um uh yeah, yeah, it's just that

1031
01:00:50,520 --> 01:00:53,160
Speaker 1: that's one worth checking out. How did this get made?

1032
01:00:53,200 --> 01:00:58,680
Speaker 1: Covers these movies? Sometimes one called Little Italy is a

1033
01:00:58,720 --> 01:01:02,840
Speaker 1: classic that they've talked about and let's taken on like

1034
01:01:03,320 --> 01:01:06,280
Speaker 1: lore and they they've talked about it being like a

1035
01:01:06,400 --> 01:01:12,080
Speaker 1: very Canadian movie. Um right, A couple to check out

1036
01:01:12,440 --> 01:01:16,800
Speaker 1: the ones on. The times I've interacted with a Canadian

1037
01:01:16,920 --> 01:01:21,040
Speaker 1: film would be like when I'm like just binging Christmas

1038
01:01:21,040 --> 01:01:24,640
Speaker 1: movies because I'll watch like anything that has snow in

1039
01:01:24,680 --> 01:01:27,720
Speaker 1: the cover, and that's when I've crossed over and being like,

1040
01:01:27,800 --> 01:01:30,640
Speaker 1: oh wait, this is okay, Yes, there, this is Canadian

1041
01:01:30,880 --> 01:01:33,320
Speaker 1: because you can tell, like there's subtleties in the flavor.

1042
01:01:34,160 --> 01:01:36,600
Speaker 1: It's got a flavor that like I but a Canadian

1043
01:01:36,680 --> 01:01:39,360
Speaker 1: Christmas movie hits even harder because it's like got the

1044
01:01:40,240 --> 01:01:44,800
Speaker 1: warmth of like Canadian. Yeah, and even and even though

1045
01:01:44,840 --> 01:01:47,840
Speaker 1: it's like a campy movie, it's like it's so sincere

1046
01:01:48,000 --> 01:01:50,080
Speaker 1: that it fries my circuits a little bit because I'm

1047
01:01:50,120 --> 01:01:54,040
Speaker 1: used to seeing like Agro American camp bullshit and this one,

1048
01:01:54,080 --> 01:01:58,160
Speaker 1: like you're like, I don't is is real sincerity or fake?

1049
01:01:58,720 --> 01:02:01,600
Speaker 1: It startling? Right? Yeah? But I but that's when I

1050
01:02:01,600 --> 01:02:03,640
Speaker 1: know instantly when I'm watching my Oh this was Canadian.

1051
01:02:04,080 --> 01:02:06,960
Speaker 1: I like it. I have to find this rom comm

1052
01:02:07,000 --> 01:02:09,720
Speaker 1: that I watched because it had like movie stars in it,

1053
01:02:09,840 --> 01:02:13,400
Speaker 1: to the point that I was like, why don't why

1054
01:02:13,440 --> 01:02:15,640
Speaker 1: don't I know about this? But I think it was

1055
01:02:15,720 --> 01:02:20,240
Speaker 1: only released widely in Canada. Um, and it was like

1056
01:02:20,360 --> 01:02:25,680
Speaker 1: made with the Canadian like government's uh funding. And I'll

1057
01:02:25,720 --> 01:02:29,320
Speaker 1: find it for a future episode. But it's it's just

1058
01:02:29,400 --> 01:02:33,760
Speaker 1: like an alternate reality. Where was it, Membo Italiano? I

1059
01:02:33,760 --> 01:02:36,160
Speaker 1: don't think it was. No, and it wasn't my big

1060
01:02:36,200 --> 01:02:41,160
Speaker 1: fact great wedding. No no, no, no, all right, um yeah,

1061
01:02:41,160 --> 01:02:43,800
Speaker 1: I'll find it for for people that are interested in it.

1062
01:02:43,840 --> 01:02:46,280
Speaker 1: You can. I think watch Men with Brooms on Prime.

1063
01:02:47,000 --> 01:02:49,720
Speaker 1: Oh hey, I have to I have based on that.

1064
01:02:49,760 --> 01:02:51,160
Speaker 1: I'm like, I have to see this. I have to

1065
01:02:51,160 --> 01:02:55,360
Speaker 1: see this, watch it, watch it. It got a nomination

1066
01:02:55,400 --> 01:02:58,120
Speaker 1: for the Genie Award for Best Performance by an Actress

1067
01:02:58,160 --> 01:03:03,400
Speaker 1: in a Leading Role. What's a Genie Award. It's like

1068
01:03:03,480 --> 01:03:06,480
Speaker 1: the Canadian Oscars, right, like oh fuck you? Oh yeah,

1069
01:03:06,480 --> 01:03:09,400
Speaker 1: the Academy of Canadian Cinema and Telling. Yeah, It's like

1070
01:03:09,440 --> 01:03:12,640
Speaker 1: it's like the Cane. It's like the Juno's are like

1071
01:03:12,720 --> 01:03:17,160
Speaker 1: our music awards, right right, right, So like Tegan Sarah

1072
01:03:17,160 --> 01:03:20,200
Speaker 1: have won a bunch of Juno's, you know, the new Pornographers,

1073
01:03:20,320 --> 01:03:24,160
Speaker 1: those kind of shot out much music, you know. Oh yeah, man, yes,

1074
01:03:24,240 --> 01:03:29,160
Speaker 1: thank you for that. Miles. You you were saying the

1075
01:03:29,200 --> 01:03:34,000
Speaker 1: other day that even though we've stopped our rewatch segment,

1076
01:03:34,120 --> 01:03:38,720
Speaker 1: you've continued watching stuff on Netflix in the Netflix Top ten.

1077
01:03:39,440 --> 01:03:42,600
Speaker 1: I just wanted to give you an opportunity to I'm

1078
01:03:42,640 --> 01:03:47,440
Speaker 1: still making my way through, uh, The Last Airbender, almost

1079
01:03:47,480 --> 01:03:51,440
Speaker 1: almost through it. It's great. I appreciate everybody recommended it

1080
01:03:51,480 --> 01:03:55,040
Speaker 1: to me. Appreciate y'all. Great show, Thank you all. But

1081
01:03:55,160 --> 01:03:57,240
Speaker 1: what what are some of the newer shows that you've

1082
01:03:57,240 --> 01:03:59,520
Speaker 1: been watching? Well? I had to again, you know me

1083
01:04:00,040 --> 01:04:04,680
Speaker 1: the holiday movies. I watched Holiday with Emma Roberts. Yeah,

1084
01:04:04,720 --> 01:04:07,000
Speaker 1: I mean, like, I haven't met a holiday film. I

1085
01:04:07,040 --> 01:04:09,040
Speaker 1: won't sit through the entire thing, even if I'm like

1086
01:04:09,160 --> 01:04:11,120
Speaker 1: screaming how bad it is. I don't know why. I

1087
01:04:11,160 --> 01:04:13,120
Speaker 1: just have the patients. I'm like, yeah, but I know

1088
01:04:13,200 --> 01:04:14,919
Speaker 1: they will be together, but I just gotta make sure

1089
01:04:15,000 --> 01:04:19,520
Speaker 1: that's what happens. Even though it's they're so formulaic, it's

1090
01:04:19,560 --> 01:04:22,720
Speaker 1: just so weird how I'm like interesting. I know. I

1091
01:04:22,720 --> 01:04:25,439
Speaker 1: think it's also comforting because they're so predictable that you'll

1092
01:04:25,480 --> 01:04:27,280
Speaker 1: never have to be you, you don't have to be

1093
01:04:27,320 --> 01:04:30,600
Speaker 1: too engaged. But yeah, holiday was fun. As I was

1094
01:04:30,600 --> 01:04:33,880
Speaker 1: saying the week before. It's written in a way though,

1095
01:04:33,880 --> 01:04:35,720
Speaker 1: where I was getting mad at the writer for some

1096
01:04:35,800 --> 01:04:38,080
Speaker 1: of the jokes they were writing because they just didn't

1097
01:04:38,400 --> 01:04:41,960
Speaker 1: totally jibe with like what was happening in the story

1098
01:04:42,120 --> 01:04:44,280
Speaker 1: or what the sort of aesthetic of the film was,

1099
01:04:44,760 --> 01:04:46,959
Speaker 1: so like suddenly would be like a very blue joke

1100
01:04:47,040 --> 01:04:49,440
Speaker 1: and I'm like that was so out of left field,

1101
01:04:49,480 --> 01:04:51,080
Speaker 1: and it just seems like you did that to like

1102
01:04:51,160 --> 01:04:54,320
Speaker 1: laugh at something you wrote on the paper. Um, but

1103
01:04:54,440 --> 01:04:57,560
Speaker 1: still worth watching if you like holiday films. But the

1104
01:04:57,600 --> 01:05:00,640
Speaker 1: thing that I've been watching a lot is in Hotel,

1105
01:05:01,160 --> 01:05:04,360
Speaker 1: which is this Australian show where people like have homes

1106
01:05:04,400 --> 01:05:06,520
Speaker 1: they want to airbnb, but it turns into like the

1107
01:05:06,640 --> 01:05:11,320
Speaker 1: Caddiess Ship, where it'll be like five couples or five

1108
01:05:11,400 --> 01:05:13,400
Speaker 1: pairings of people who own a property and they want

1109
01:05:13,440 --> 01:05:16,640
Speaker 1: to make it an Airbnb or instant hotel, and these

1110
01:05:16,640 --> 01:05:19,880
Speaker 1: couples all stay at each other's homes like while the

1111
01:05:19,920 --> 01:05:22,160
Speaker 1: host couple won't be there, but the other three competing

1112
01:05:22,200 --> 01:05:24,680
Speaker 1: people will be there, and then they start like raiding it.

1113
01:05:25,080 --> 01:05:27,400
Speaker 1: So some people have like really interesting houses, like this

1114
01:05:27,440 --> 01:05:29,600
Speaker 1: one couple had like a house that was like in

1115
01:05:29,640 --> 01:05:32,520
Speaker 1: an old mine, like a dugout mind, so it's like

1116
01:05:32,560 --> 01:05:35,320
Speaker 1: actually a cave house, which is really kind of cool.

1117
01:05:35,600 --> 01:05:38,120
Speaker 1: But then they're like these hoity toity like Australian people,

1118
01:05:38,160 --> 01:05:40,120
Speaker 1: like it feels like a bit of a dust being

1119
01:05:40,160 --> 01:05:42,360
Speaker 1: in here, so I don't really I can't really write

1120
01:05:42,360 --> 01:05:45,240
Speaker 1: it that high, so and like and then like the

1121
01:05:45,320 --> 01:05:47,920
Speaker 1: people get it's funny because at a certain point they

1122
01:05:48,000 --> 01:05:50,680
Speaker 1: they'll tell the other people how they were talking about

1123
01:05:50,720 --> 01:05:52,760
Speaker 1: their homes, and people get very you know, they take

1124
01:05:52,800 --> 01:05:55,320
Speaker 1: it very personally, especially when it's like their own homes.

1125
01:05:56,640 --> 01:05:58,640
Speaker 1: So like people will like start crying, like and I

1126
01:05:58,640 --> 01:06:00,640
Speaker 1: don't mean to cry because I know it's just a

1127
01:06:00,680 --> 01:06:03,000
Speaker 1: writing and it's not really to do with me, but

1128
01:06:03,160 --> 01:06:07,960
Speaker 1: it's really hot to hear something like and it's just

1129
01:06:08,040 --> 01:06:10,680
Speaker 1: funny to watch these people. Like I start watching it too,

1130
01:06:10,680 --> 01:06:12,560
Speaker 1: and I'm like, oh, I would start talking about this

1131
01:06:12,800 --> 01:06:14,680
Speaker 1: or this or this, so I don't know, it's it's

1132
01:06:14,720 --> 01:06:17,320
Speaker 1: a it's a fun way to escape and just look

1133
01:06:17,360 --> 01:06:20,120
Speaker 1: at like the landscapes of another country, because truly, like

1134
01:06:20,280 --> 01:06:23,800
Speaker 1: they'll go from every sort of landscape in Australia to

1135
01:06:24,000 --> 01:06:26,560
Speaker 1: where sums out back and then it's like a rainforest

1136
01:06:26,600 --> 01:06:29,280
Speaker 1: and the beach town they have a desert like their

1137
01:06:29,680 --> 01:06:33,400
Speaker 1: their ecosystems are out of control, so varied, so varied.

1138
01:06:33,480 --> 01:06:35,560
Speaker 1: So yeah, that's another one I think is if you like,

1139
01:06:35,680 --> 01:06:38,280
Speaker 1: if you want to watch people talk caddie about each

1140
01:06:38,320 --> 01:06:42,120
Speaker 1: other's homes, that could be indeed instant hotel. Well, I

1141
01:06:42,120 --> 01:06:43,960
Speaker 1: mean we're at a time where like you can't go

1142
01:06:44,160 --> 01:06:47,720
Speaker 1: inside anybody's homes. Like I could see the attraction. I

1143
01:06:47,720 --> 01:06:49,640
Speaker 1: don't think I'm gonna watch it, but like I see

1144
01:06:49,680 --> 01:06:52,160
Speaker 1: that I don't have to. Yeah, yeah, I'll wait for

1145
01:06:52,200 --> 01:06:55,400
Speaker 1: it to become a worse American version of that show.

1146
01:06:56,560 --> 01:06:59,720
Speaker 1: The American version be so fucked up because there is

1147
01:06:59,760 --> 01:07:02,480
Speaker 1: a bit of gamesmanship, like, yeah, if you rate someone's

1148
01:07:02,520 --> 01:07:05,200
Speaker 1: home lower, you have a better chance of your home

1149
01:07:05,960 --> 01:07:08,840
Speaker 1: getting to like the Grand Final, which is really like

1150
01:07:08,880 --> 01:07:11,480
Speaker 1: they give you like ten grand to like fix your

1151
01:07:11,520 --> 01:07:13,240
Speaker 1: home up based on what other people said, and then

1152
01:07:13,280 --> 01:07:15,880
Speaker 1: you can win like a larger prize. But I could

1153
01:07:15,880 --> 01:07:18,920
Speaker 1: see Americans being on the show were so cynical and

1154
01:07:18,960 --> 01:07:22,160
Speaker 1: like just prize focused at the expense of their own

1155
01:07:22,240 --> 01:07:24,880
Speaker 1: humanity or being kind to another person that they're like,

1156
01:07:24,960 --> 01:07:27,680
Speaker 1: oh this Zeros, I give the Zeros, I give my place,

1157
01:07:27,720 --> 01:07:32,800
Speaker 1: ten this place Zeros. No. Yeah, so but there's just

1158
01:07:32,920 --> 01:07:35,240
Speaker 1: the yeah there, it's a bit of travel, a bit

1159
01:07:35,280 --> 01:07:38,280
Speaker 1: of entering people's home. So yeah, it does have a

1160
01:07:38,400 --> 01:07:40,880
Speaker 1: you know, a little bit of everything in it. Arial

1161
01:07:40,960 --> 01:07:46,280
Speaker 1: is there anything you've been binging or binge that you'd recommend? Um,

1162
01:07:46,520 --> 01:07:51,320
Speaker 1: I recommend rewatching Buffy the Vampire Slayer. That's where I'm

1163
01:07:51,360 --> 01:07:55,000
Speaker 1: at right now. It's my comfort watch. Um. I finally

1164
01:07:55,040 --> 01:07:57,960
Speaker 1: convinced to my wife, who has been extremely resistant to

1165
01:07:58,040 --> 01:08:02,840
Speaker 1: watching this show. She's not necessarily um into like action

1166
01:08:03,000 --> 01:08:04,800
Speaker 1: and fighting and like neither am I Like, that's not

1167
01:08:04,840 --> 01:08:08,680
Speaker 1: why I watched this show. Um, and I finally convinced her.

1168
01:08:08,760 --> 01:08:11,760
Speaker 1: She's finally hooked. This is good. Guys, Like, I feel

1169
01:08:11,760 --> 01:08:15,040
Speaker 1: like I'm like, like TV wise, I'm living my best

1170
01:08:15,080 --> 01:08:17,879
Speaker 1: life because I get watched one of my favorite childhood

1171
01:08:17,920 --> 01:08:20,559
Speaker 1: shows with with the love of my life. So it's

1172
01:08:20,640 --> 01:08:23,680
Speaker 1: it's amazing. Yeah. Stacy Abrahams even came through with her.

1173
01:08:23,680 --> 01:08:28,040
Speaker 1: Buffy takes on Twitter. Oh yeah, really, oh yeah, she

1174
01:08:28,479 --> 01:08:31,479
Speaker 1: go on Twitter. She fucking she's in it. She's in it.

1175
01:08:31,560 --> 01:08:33,840
Speaker 1: She's talking about how Angel was the best boyfriend for

1176
01:08:33,880 --> 01:08:37,479
Speaker 1: Buffy at the time. Okay, I mean, yes, yes, that is.

1177
01:08:37,560 --> 01:08:39,759
Speaker 1: That is And you know she she writes romance novels,

1178
01:08:39,800 --> 01:08:42,680
Speaker 1: so like she would know how to complimate romance and

1179
01:08:42,720 --> 01:08:44,639
Speaker 1: how to talk about that stuff. So yes, I will

1180
01:08:44,680 --> 01:08:47,840
Speaker 1: go on Twitter. I'm probably like your wife. Where my

1181
01:08:47,920 --> 01:08:50,840
Speaker 1: partner her majesty. She loves Buffy and she's like, in

1182
01:08:50,880 --> 01:08:54,120
Speaker 1: the beginning of Quarantine, she's like, fine, I'll watch fucking Sopranos,

1183
01:08:54,240 --> 01:08:57,599
Speaker 1: but you gotta watch Buffy. And I'm a deal. Uh.

1184
01:08:57,640 --> 01:08:59,240
Speaker 1: And in the beginning I was like, what's going on?

1185
01:08:59,240 --> 01:09:01,760
Speaker 1: She's like, Okay, looks Sason ones camp be okay, the right, right,

1186
01:09:01,840 --> 01:09:05,040
Speaker 1: don't watch season one? So can I if I permit

1187
01:09:05,080 --> 01:09:07,280
Speaker 1: me to give some advice to your partner? Do you

1188
01:09:07,320 --> 01:09:10,479
Speaker 1: do not need any yes? Please? Um the place where

1189
01:09:10,520 --> 01:09:14,160
Speaker 1: I managed to get my wife actually interested with season four.

1190
01:09:15,320 --> 01:09:17,240
Speaker 1: So I think what's gonna happen is we're gonna we're

1191
01:09:17,280 --> 01:09:19,160
Speaker 1: we're now in season five, We're gonna keep watching and

1192
01:09:19,160 --> 01:09:20,479
Speaker 1: then we're gonna have to go back and then we're

1193
01:09:20,479 --> 01:09:25,880
Speaker 1: also going to watch Angels series as well. Um, but yeah, no,

1194
01:09:26,000 --> 01:09:28,559
Speaker 1: it is. It is hard like you. And we started

1195
01:09:28,560 --> 01:09:31,120
Speaker 1: in the middle of season four actually, and that got

1196
01:09:31,120 --> 01:09:36,240
Speaker 1: her hooked. At the beginning. I was like, I get it,

1197
01:09:36,280 --> 01:09:37,920
Speaker 1: like I see what's fun and then you see like

1198
01:09:37,960 --> 01:09:40,120
Speaker 1: sort of like the morality tales that are like woven

1199
01:09:40,160 --> 01:09:42,960
Speaker 1: into them, especially interesting when like what they're using to

1200
01:09:43,040 --> 01:09:45,840
Speaker 1: talk about, like whether it's like an unstable home life

1201
01:09:45,880 --> 01:09:47,920
Speaker 1: or whatever, but the allegory of like a demon or

1202
01:09:48,000 --> 01:09:51,880
Speaker 1: like a ghost mom who's a cheerleader. But the other thing,

1203
01:09:52,120 --> 01:09:54,240
Speaker 1: the one that got me was once more with feeling

1204
01:09:54,439 --> 01:09:58,200
Speaker 1: the musical episode because the fun and I'm like, oh,

1205
01:09:58,200 --> 01:10:00,680
Speaker 1: this show got range and that's what that was. That's

1206
01:10:00,680 --> 01:10:02,760
Speaker 1: where I bought in. And I was like, okay, I'll

1207
01:10:02,760 --> 01:10:04,400
Speaker 1: see the other thing. Okay, so you're already bought it and

1208
01:10:04,360 --> 01:10:06,559
Speaker 1: and she doesn't like your partner doesn't know I'm I'm

1209
01:10:06,800 --> 01:10:09,000
Speaker 1: bought it. I'm bought it. Yeah all right, okay, Okay,

1210
01:10:09,040 --> 01:10:11,439
Speaker 1: then feeling why did you even let me do that?

1211
01:10:11,439 --> 01:10:14,360
Speaker 1: That's like so I think I think for most people too,

1212
01:10:14,400 --> 01:10:17,080
Speaker 1: because it's true, like if you are trying to get

1213
01:10:17,120 --> 01:10:20,000
Speaker 1: people in the Buffy verse. You know, Season one is

1214
01:10:20,040 --> 01:10:22,240
Speaker 1: a little bit different, but I appreciate that because I

1215
01:10:22,280 --> 01:10:24,479
Speaker 1: was willing to be like sit, you know, like you

1216
01:10:24,560 --> 01:10:26,960
Speaker 1: gotta you want to see the whole thing. Yeah, my

1217
01:10:26,960 --> 01:10:30,479
Speaker 1: personal advice is start with season four. The episode is

1218
01:10:30,479 --> 01:10:32,920
Speaker 1: called Hush and it's one of the only episodes of

1219
01:10:32,960 --> 01:10:36,360
Speaker 1: Buffy that was nominated for an Emmy in right, not

1220
01:10:36,680 --> 01:10:40,080
Speaker 1: not Emmy, Yes, and Emmy in writing. Um it's vaginie,

1221
01:10:40,200 --> 01:10:45,200
Speaker 1: I think, yes, Ariel, It's been so fun having you

1222
01:10:45,400 --> 01:10:48,120
Speaker 1: on the daily zeit guys, where can people find you

1223
01:10:48,280 --> 01:10:52,000
Speaker 1: and follow you? Well? Number one is I am the

1224
01:10:52,040 --> 01:10:54,960
Speaker 1: host of my own podcast. Uh. The podcast is called

1225
01:10:55,040 --> 01:10:58,919
Speaker 1: Vice News Reports. It is a documentary style news podcast.

1226
01:10:59,000 --> 01:11:01,280
Speaker 1: It's not like news news in the way that like

1227
01:11:02,600 --> 01:11:07,599
Speaker 1: this podcast is for instance, but no, no, but like

1228
01:11:07,640 --> 01:11:09,439
Speaker 1: not to take away from that, everybody needs that. What

1229
01:11:09,479 --> 01:11:14,040
Speaker 1: I'm saying is that it's complimentary, right, It is a

1230
01:11:14,080 --> 01:11:16,479
Speaker 1: complimentary listen. So we take deep dives, we have a

1231
01:11:16,520 --> 01:11:19,800
Speaker 1: lot of field audio. It just launched. I think, you know,

1232
01:11:19,840 --> 01:11:22,280
Speaker 1: if I can say this myself, I think it's really good.

1233
01:11:22,800 --> 01:11:25,200
Speaker 1: Um so I Vice News Reports is number one subscribed

1234
01:11:25,240 --> 01:11:28,559
Speaker 1: to that Um, leave us a review, you know, um

1235
01:11:28,600 --> 01:11:33,519
Speaker 1: and otherwise Twitter, I'm at a d r S on Twitter. Wow,

1236
01:11:33,880 --> 01:11:37,559
Speaker 1: early adopter. Yeah, Zigang, please check the show out because

1237
01:11:37,560 --> 01:11:41,120
Speaker 1: it is fantastic and I think a good companion to

1238
01:11:41,240 --> 01:11:43,880
Speaker 1: this where we talk the nonsense and then he really

1239
01:11:43,920 --> 01:11:47,439
Speaker 1: intelligent people with journalistic integrity give you some more insight.

1240
01:11:48,200 --> 01:11:52,040
Speaker 1: What's journalism again, I've never never heard that word before.

1241
01:11:52,960 --> 01:11:57,839
Speaker 1: What What is something our parents wish we did? Uh?

1242
01:11:58,000 --> 01:12:00,360
Speaker 1: What is there a tweet or some of the work

1243
01:12:00,400 --> 01:12:05,439
Speaker 1: of social media you've been enjoying. I mean when when

1244
01:12:05,479 --> 01:12:07,519
Speaker 1: you guys asked me about this, Like the first thing

1245
01:12:08,320 --> 01:12:10,800
Speaker 1: that came to mind from this week was was you know,

1246
01:12:10,800 --> 01:12:12,879
Speaker 1: because everybody was like very much on this four seasons

1247
01:12:12,920 --> 01:12:16,360
Speaker 1: landscaping thing. Um and listen, I'm here for that joke.

1248
01:12:16,560 --> 01:12:20,160
Speaker 1: I I think it's great and also I like a

1249
01:12:20,160 --> 01:12:24,880
Speaker 1: good contrarian viewpoint. Um, and my good friend any fellow

1250
01:12:24,960 --> 01:12:28,759
Speaker 1: podcaster Rose Eveleth tweeted out, like, for every four seasons

1251
01:12:28,800 --> 01:12:31,840
Speaker 1: Total Landscaping shirt you purchase, I hope you're donating an

1252
01:12:31,840 --> 01:12:35,160
Speaker 1: equivalent amount to an actual cause. And you know what

1253
01:12:35,840 --> 01:12:37,880
Speaker 1: it's it's kind of like takes the fun out of

1254
01:12:38,120 --> 01:12:40,240
Speaker 1: out of the story, but I appreciate it, you know,

1255
01:12:40,280 --> 01:12:43,719
Speaker 1: it's a good reminder, like maybe you shouldn't be spending

1256
01:12:43,720 --> 01:12:45,759
Speaker 1: all your money on a joke T shirt when actually

1257
01:12:45,800 --> 01:12:48,599
Speaker 1: they're like everything is on fire. Yeah, and and there

1258
01:12:48,640 --> 01:12:51,400
Speaker 1: are races that money should be poured into in Georgia

1259
01:12:52,120 --> 01:12:55,640
Speaker 1: that could actually, you know, help move some things in

1260
01:12:55,680 --> 01:12:59,479
Speaker 1: a proper direction for sure. Miles, where can people find you?

1261
01:12:59,520 --> 01:13:02,320
Speaker 1: What's twee you've been enjoying? You can find me on

1262
01:13:02,360 --> 01:13:06,400
Speaker 1: Twitter and Instagram at Miles of Gray and also the

1263
01:13:06,400 --> 01:13:09,920
Speaker 1: other podcast for twenty Day Fiance Talking ninety Day Fiance,

1264
01:13:10,160 --> 01:13:12,200
Speaker 1: which is just you know, a great salve on our

1265
01:13:12,360 --> 01:13:16,439
Speaker 1: reality wounds. Uh, let's see another a tweet that I

1266
01:13:16,520 --> 01:13:19,799
Speaker 1: like it too from Reductress. First one mom who blames

1267
01:13:19,840 --> 01:13:22,760
Speaker 1: young people for spreading COVID nineteen also demands you fly

1268
01:13:22,880 --> 01:13:28,040
Speaker 1: home for Thanksgiving during pandemic. Very very true. And another one,

1269
01:13:28,720 --> 01:13:35,479
Speaker 1: uh is study twelve donuts too much, six donuts not enough,

1270
01:13:36,200 --> 01:13:40,240
Speaker 1: which feels right because I can whenever I get a

1271
01:13:40,280 --> 01:13:45,120
Speaker 1: dozen donuts, I get through three donuts instantly, like the

1272
01:13:45,200 --> 01:13:48,120
Speaker 1: first donut is actually three, and then I'm like, oh,

1273
01:13:48,160 --> 01:13:49,880
Speaker 1: I've had three, and then I'm like, well then what's

1274
01:13:49,960 --> 01:13:53,400
Speaker 1: four and five? It's it's it's a slippery slope. So

1275
01:13:53,479 --> 01:13:55,360
Speaker 1: if you're if you're out there donut gang, you know

1276
01:13:55,400 --> 01:13:59,160
Speaker 1: we see you. Yeah, it is a good uh And

1277
01:13:59,200 --> 01:14:02,559
Speaker 1: I think what something that doctors all agree is a

1278
01:14:02,640 --> 01:14:05,360
Speaker 1: perfect amount of donuts. Eight donuts a day keeps the

1279
01:14:05,400 --> 01:14:08,840
Speaker 1: doctor away. So that's what they said. Do you think

1280
01:14:08,920 --> 01:14:13,360
Speaker 1: the have you ever actually polished off a full dozen

1281
01:14:13,680 --> 01:14:16,559
Speaker 1: like in one day? Because I have no, I don't

1282
01:14:16,560 --> 01:14:18,799
Speaker 1: think it, but I've used the argument around nine pm

1283
01:14:18,800 --> 01:14:21,840
Speaker 1: when there's three left that well, you don't, these ships

1284
01:14:21,840 --> 01:14:25,360
Speaker 1: are going to be bad tomorrow morning. So you're not wrong, right,

1285
01:14:25,400 --> 01:14:29,120
Speaker 1: like a dry donut right exactly. So I don't know,

1286
01:14:29,320 --> 01:14:32,479
Speaker 1: feare I have eaten like a trash bag full of

1287
01:14:32,760 --> 01:14:37,080
Speaker 1: Reese's cups and in the past month, so like in

1288
01:14:37,120 --> 01:14:40,080
Speaker 1: a single night. So yeah, it's not because I have

1289
01:14:40,920 --> 01:14:43,560
Speaker 1: better sense than that. I just haven't had the opportunity.

1290
01:14:44,200 --> 01:14:46,920
Speaker 1: I'm just at a different wavelength. I'm more the garbage

1291
01:14:46,920 --> 01:14:49,280
Speaker 1: bag full of Reci's five. Yeah, I'm I'm more in

1292
01:14:49,360 --> 01:14:53,960
Speaker 1: that phase of my life. Uh tweet, I enjoy Garagi

1293
01:14:54,080 --> 01:14:57,280
Speaker 1: p Henson said. I used to think Dr dre said,

1294
01:14:57,320 --> 01:15:01,400
Speaker 1: looking like I'm rob Liberaci instead of looking like I

1295
01:15:01,600 --> 01:15:05,439
Speaker 1: robbed Liberaci. That's pretty much all you gotta know about me.

1296
01:15:05,760 --> 01:15:09,160
Speaker 1: I always thought it was looking like a mob Liberaci,

1297
01:15:09,400 --> 01:15:15,480
Speaker 1: so I didn't realize it was Yo, where's Rob Liberaci?

1298
01:15:16,160 --> 01:15:22,160
Speaker 1: Looking like I'm Rob Liberaci? Uh? And then Charlie at

1299
01:15:22,200 --> 01:15:27,280
Speaker 1: Berlant Brouh tweeted one of my students just said, Seltzer

1300
01:15:27,439 --> 01:15:38,160
Speaker 1: tastes like when your foot falls asleep. Uh, that's true. Yeah, yeah,

1301
01:15:39,200 --> 01:15:43,360
Speaker 1: Topo Chico, Uh yeah yeah. You can find me on

1302
01:15:43,400 --> 01:15:45,680
Speaker 1: Twitter at Jack Underscore O'Brien. You can find us on

1303
01:15:45,720 --> 01:15:49,520
Speaker 1: Twitter at daily zeitgeys for at the Daily Zeitgeist on Instagram.

1304
01:15:49,520 --> 01:15:51,880
Speaker 1: We have a Facebook fan page and a website, Daily

1305
01:15:51,960 --> 01:15:55,280
Speaker 1: zeitgeist dot com, where we post our episodes in our

1306
01:15:55,360 --> 01:15:58,439
Speaker 1: foot Nope, we link off to the information that we

1307
01:15:58,479 --> 01:16:01,400
Speaker 1: talked about today's episode, as well as the song we

1308
01:16:01,560 --> 01:16:08,120
Speaker 1: ride out on miles. What are we riding into this week? Upon? Uh,

1309
01:16:08,200 --> 01:16:10,800
Speaker 1: we're talking about the state of Michigan a bit. A

1310
01:16:10,880 --> 01:16:13,439
Speaker 1: producer who I like, who I mean, he's lived in

1311
01:16:13,479 --> 01:16:15,120
Speaker 1: Michigan for a while and I don't know if he'll

1312
01:16:15,120 --> 01:16:18,680
Speaker 1: says from Michigan, but sango, I've played a view of

1313
01:16:18,840 --> 01:16:20,960
Speaker 1: his tracks before, but this is a new one called

1314
01:16:21,320 --> 01:16:25,320
Speaker 1: The New State from Sango. It's got you know, good

1315
01:16:25,400 --> 01:16:28,200
Speaker 1: riddims to start your week. Just keep your energy up

1316
01:16:28,240 --> 01:16:31,040
Speaker 1: and you know, keep that momentum going. Do good around you,

1317
01:16:31,920 --> 01:16:34,840
Speaker 1: all right. The Daily Ze Guys ad production by Heart Radio.

1318
01:16:34,920 --> 01:16:37,439
Speaker 1: From more podcasts from my Heart Radio, visit the heart

1319
01:16:37,520 --> 01:16:39,840
Speaker 1: Radio app, Apple podcast, or wherever you listen to your

1320
01:16:39,880 --> 01:16:43,120
Speaker 1: favorite shows. That is going to do it for this morning.

1321
01:16:43,200 --> 01:16:45,599
Speaker 1: We'll be back this afternoon to tell you what's trending

1322
01:16:45,680 --> 01:17:12,880
Speaker 1: and we will talk to y'all. I out Rock plays,

1323
01:17:13,880 --> 01:17:21,880
Speaker 1: out Rock Play