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Speaker 1: Hello the Internet, and welcome to Season one seventy four,

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Speaker 1: episode one of the Days, Like Guys to production of

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Speaker 1: My Heart Radio. This is a podcast where we take

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Speaker 1: a deep dive into America's share consciousness. It is Monday,

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Speaker 1: March first March, already called about it. My name is

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Speaker 1: Jack O'Brien. A K. A life is a highway passing

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Speaker 1: by rapidly and still boring as ship. That is courtesy

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Speaker 1: of Rachel McCartney at Rachel m Comedy. Very funny on Twitter,

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Speaker 1: uh and not intended as an a K. But I

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Speaker 1: just like so much I had to use it, and

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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 Miles grad Jack. In honor of the upcoming spring,

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Speaker 1: I want to serenade you with a tale of Mountain too.

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Speaker 1: You should let meetch up do. Let me be the

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Speaker 1: one to give you the caffeine you won't any baby

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Speaker 1: code read it perfection, make me your selection, show me

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Speaker 1: the way love suppost to be. Baby, you should let

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Speaker 1: me chuck do. Okay, that's from Mario. And you know

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Speaker 1: what I just had to sing that I was on

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Speaker 1: the It was on the discord. Shout out to Juju.

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Speaker 1: You didn't say it was for Jack, but I love

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Speaker 1: that Mario track, so I just i'd think that, you know, Jack,

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Speaker 1: I want to chuck that is uh. You you honor

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Speaker 1: the song. You honor that ak by taking it for yourself,

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Speaker 1: because it would have sounded about exactly the same as

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Speaker 1: my life as a highway, just the same notes if

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Speaker 1: I had tried it. So thank you very much. That

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Speaker 1: was beautiful. Shout out to the discord. We are thrilled

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Speaker 1: to be joined in our third seat by the hilarious,

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Speaker 1: the talented, the brilliant Bridget Time. Hello, I'm so excited

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Speaker 1: to be back again, so excited that I have you always, Bridget.

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Speaker 1: I saw the dog. I was like, and I was like, wait, yes,

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Speaker 1: we're welcome. We always have a good time, you know.

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Speaker 1: I feel like the last time when we were together,

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Speaker 1: we were just the country was about to be in

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Speaker 1: the grips of the pandemic. And it's kind of like it.

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Speaker 1: Things are wild huh out here, And it's already March.

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Speaker 1: It is already marched. Birthday months okay, March fourteen. Okay, alright, Pie, okay, Pie,

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Speaker 1: that's right, Pie Day, Albert Einstein's birthday. Pie Day. Um, yeah,

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Speaker 1: did he do that on purpose? Yes, make his birthday.

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Speaker 1: It's just that some next level Galaxy brand shit. Um,

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Speaker 1: Simone Biles, also Steph Curry, that's a big day. Damn Brianna, Brianna,

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Speaker 1: it's a paces she wasn't born on my same birthday,

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Speaker 1: but she's also I mean TikTok star Oscar Rosenstrom. Wait, really,

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Speaker 1: Oscar your favorite TikTok? Yeah, and your favorite Instagram star

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Speaker 1: Bryce Rivera. Also Bryce Jones, do good God, hold on

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Speaker 1: no royalty, Quincy Jones, Mike Cocaine, Oh so got man,

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Speaker 1: Billy Crystal. Has anybody ever ranked the best days? Like

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Speaker 1: the best birthdays? I mean, obviously Christmas being number one

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Speaker 1: for a Lord and Saint Jesus Christ, But otherwise, like

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Speaker 1: what what would the top birthdays be? This would have

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Speaker 1: to be like top five? Yeah, Einstein, Steph Curry, Simon Biles,

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Speaker 1: Quincy Jones, I mean, fucking Michael Caine, it's got what

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Speaker 1: the until just now that you're saying Michael Caine and

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Speaker 1: I thought you were saying my cocaine. The joke of like, yeah,

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Speaker 1: got it very late as as I want to do

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Speaker 1: I have your do today? That Yeah, yeah, it does

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Speaker 1: feel like I. I really liked that joke from Rachel though,

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Speaker 1: because I feel like that is the perfect encapsulation of

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Speaker 1: the pandemic boring as ship and passing by incredibly rapidly. Uh.

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Speaker 1: I can't believe it's March already, and yet nothing has happened. Uh,

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Speaker 1: and yet everything has happened. Um, yeah, everything, you believe it? Alright, Bridget,

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Speaker 1: We're gonna get to know you a little bit better

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Speaker 1: in a moment. First, we're gonna tell our listeners a

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Speaker 1: couple of things we're talking about today. Uh the COVID

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Speaker 1: relief bill. Uh, COVID relief in general popular who would

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Speaker 1: have think it? Uh So we'll talk about that. We'll

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Speaker 1: talk about see pack We have not seen Donald Trump's

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Speaker 1: speech quite yet. What we have seen as of this

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Speaker 1: recording is a golden idol being wheeled in to the grounds. Uh.

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Speaker 1: So we'll talk about that. We'll talk about parlor, We'll

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Speaker 1: talk about uh criminal minds. Uh. Oh. We might even

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Speaker 1: have time to talk about falling sperm count, which is

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Speaker 1: one of those stories that every once in a while

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Speaker 1: people are like, oh, yeah, sperm count is down, like

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Speaker 1: in the West, and then we all just move on.

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Speaker 1: So Uh, there Okay, apparently at this rate and we

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Speaker 1: might not even have to talk about it other than this.

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Speaker 1: At this rate, the West will reach a zero median

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Speaker 1: sperm count by the year Uh so that's that's low zero.

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Speaker 1: You need more more sperm than that. I believe you

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Speaker 1: only need one bright class. You just need to make

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Speaker 1: a baby. So if we're at one, yeah, like, so

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Speaker 1: what are we gonna do, Like have a great semen

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Speaker 1: stockpile that we're gonna have and like you're gonna be like,

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Speaker 1: oh you're from the jackal bye Brobrian to lineage, right, Yeah,

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Speaker 1: I don't know. It's very strange. Uh, we'll talk about

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Speaker 1: all sorts of pop culture stuff. Uh, the surprising popularity

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Speaker 1: of is that a CBS show? I want to tease it.

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Speaker 1: I don't want to tell him quite yet what it is,

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Speaker 1: but uh, it's like a pretty standard issue procedural that

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Speaker 1: had blended into my mind. Is just already said the

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Speaker 1: name of the show. Is that good? Ago? I did?

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Speaker 1: Yeah said, I'm gonna talk about criminal minds. Hey, okay,

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Speaker 1: I don't know, man, It's like, wait, I think we'll

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Speaker 1: talk about criminal minds, We'll talk about zombies, we'll talk

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Speaker 1: about I care a lot. The movie on Netflix that

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Speaker 1: I promised to talk about on last week's episode, will

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Speaker 1: actually talk about it, and also those adorable new postal

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Speaker 1: trucks of the future that will be seeing in a

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Speaker 1: few years, uh, and why they suck all that plenty more.

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Speaker 1: But first, Bridget, we like to ask our guest what

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Speaker 1: is something from your search history? So this is a

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Speaker 1: little bit of a weird one. But Jack, I think

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Speaker 1: you might feel me on this because you are a

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Speaker 1: fellow Wholigan. You listen to the podcast two weekly. Yeah, yeah,

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Speaker 1: I do. So they had an episode I think just

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Speaker 1: the other day about Lance Bass in space. So if

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Speaker 1: you haven't listened yet, I haven't listened for a couple

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Speaker 1: of weeks. Okay, the last thing I had googled was

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Speaker 1: a picture of Lance Bass in space, because do you

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Speaker 1: remember how there was a whole thing about how Lance

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Speaker 1: Bass was going to space? Lance Bass from uh And

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Speaker 1: the reason why he didn't go is because when he

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Speaker 1: was undergoing you know, all the tests or procedures or

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Speaker 1: whatever to get him up there, he realized he had

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Speaker 1: a medical condition that was fairly serious for which you

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Speaker 1: needed surgery. And so in a kind of way that

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Speaker 1: like saved his life. But because they had already done

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Speaker 1: the funding and whatnot and the calibrations for the weight

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Speaker 1: of going into space, they had to They couldn't just

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Speaker 1: not have him go because I guess the weight needs

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Speaker 1: to be very precise. So they replaced Lance Bass with

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Speaker 1: a Lance Bass shaped barrel. They took up the same

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Speaker 1: amount of weight as actual Lance Bass. Okay, so I

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Speaker 1: had to go down a deep after I had to

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Speaker 1: pause who weekly and go down a deep Google dive

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Speaker 1: finding out more about this Lance Bass shaped barrel. Lance

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Speaker 1: Bass is apparently, Uh, he's he's a friend of the network,

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Speaker 1: a lovely guy that has appeared on Will You Accept

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Speaker 1: This Rose? And oh my god, come on, come on,

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Speaker 1: come on, and yeah, tell us more about your like

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Speaker 1: your your journey. You wouldn't be a journey to space

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Speaker 1: like the closest thing to that one, like where Homer

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Speaker 1: goes to SPA. You know, it was like Lance Bass,

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Speaker 1: and I'm like, wow, cool. The one last thing I

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Speaker 1: remember was in local in the local l A Valley area.

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Speaker 1: He was causing ways because he was in a full

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Speaker 1: he was trying to buy the Brady Bunch house. Uh,

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Speaker 1: and then like lost to like h G TV or

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Speaker 1: something and it was a big thing. Um and apparently

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Speaker 1: and this this is not official. I may be telling

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Speaker 1: tales out of school, but uh, Lance Bass and our

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Speaker 1: iHeart podcast host Maven one of the Great Arden Marine.

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Speaker 1: We're supposed to Amazing Race together as a duo this

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Speaker 1: past year, but the pandemic push it back. Oh my,

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Speaker 1: but hopefully the future like two of the Great Arden, Like,

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Speaker 1: I will watch her do literally anything, yeah, just as

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Speaker 1: long as it involves her interacting with people right right right,

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Speaker 1: And also like she's just gonna tort your lance. I'm

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Speaker 1: interested like when it gets you know, because it gets

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Speaker 1: tense sometimes on the Amazing Race, like what happens, you know,

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Speaker 1: what happens then, because that's what that's I feel like

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Speaker 1: I'm the Amazing Race. When it was Couples that you

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Speaker 1: were watching a couple, a couple spiral into a divorce

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Speaker 1: in real time, it was like, wow, they are really

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Speaker 1: on the edge. Yeah, it's like, oh wow, great they're

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Speaker 1: using this across the world game show to reveal that

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Speaker 1: they have no communications skills. I was soft approached, well,

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Speaker 1: my wife was soft approached about doing Amazing Rate the

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Speaker 1: Amazing Race because her sister was on Survivor and they

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Speaker 1: share a bunch of the same producers. And my wife

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Speaker 1: was on Survivor for like the Family Challenge, and the

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Speaker 1: producers liked her enough that they were like, hey, what

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Speaker 1: about what about this? Uh? And then you showed up. Yeah,

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Speaker 1: they're she was like, I don't I don't think we'd

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Speaker 1: make it. Uh. Now she was on medical school. Also,

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Speaker 1: I'm not a better reason. I am the least built

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Speaker 1: for reality television human being that I can that I

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Speaker 1: can imagine. Uh, the internal uh introverts don't do great

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Speaker 1: on reality TV. I'm sure they would have tested me

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Speaker 1: right out of there. Yeah. The producers probably would have

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Speaker 1: sucked with you to the point that it would have

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Speaker 1: been like abuse. Yeah, because that's like that's their job.

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Speaker 1: It's like if someone's born, it's like, all right, we'll

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Speaker 1: start fucking with them, so they'll react on camera where

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Speaker 1: they would have just like tried to set my wife

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Speaker 1: up with somebody else who's just like, what do you

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Speaker 1: think Jack Magnus and your wife are hitting it off

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Speaker 1: pretty well? There, Jack crying in the confessional. Understand magness, Magnus, Uh,

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Speaker 1: I would have to just take my hat off to something.

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Speaker 1: Magnet magnus. Yeah, um, bridget, what is something you think

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Speaker 1: is underrated? Okay, so this might be a little bit controversial.

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Speaker 1: I think I'm the only person in the in all

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Speaker 1: of the Internet who feels this way. But have you

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Speaker 1: seen the collection of Megan McCain's hairstyles from the view

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Speaker 1: I've not, but I've on my feebly app that I

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Speaker 1: used to always look at headlines the still that has

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Speaker 1: been coming up whenever she's been talking about things. I've

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Speaker 1: always noticed It's like the last thing she had was

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Speaker 1: like a weird lap, and then the other day it

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Speaker 1: was something totally totally chaotic. But I didn't realize this

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Speaker 1: is a thing now. Okay, Chaotic is exactly the word

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Speaker 1: I would used to describe it. Um, people are are

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Speaker 1: Someone tweeted a collection of her hairstyles and tweeted, um,

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Speaker 1: welcome to the resistance, Megan McCain's hairstylist. I have to say,

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Speaker 1: they're like, I'm not gonna you know, I think they're cute. Like,

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Speaker 1: I think they're a little chaotic, and I appreciate people

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Speaker 1: who like take a little bit of a risk. People

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Speaker 1: are clowning her all over Twitter for these hairstyles. I

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Speaker 1: appreciate a bold hairstyle risk. I take a lot of

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Speaker 1: hairstyle risks. I appreciate a switch up. I appreciate a

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Speaker 1: little bit of hair chaos. Uh yeah, I people are

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Speaker 1: making fun of them. I think they kind of work.

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Speaker 1: I don't know. I'm looking at a high pony with

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Speaker 1: like a little like strand of curly bangs. I mean

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Speaker 1: it's she's definitely like bringing some prom hair here and there.

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Speaker 1: She got the extend a hair clipping. You get that

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Speaker 1: pony that hide up to God. There was one that

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Speaker 1: I was like, even, I have to draw the line

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Speaker 1: somewhere where it was a a middle part where she

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Speaker 1: had looked like she had put like purple glitter down

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Speaker 1: the part, which I thought, you know, maybe if you

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Speaker 1: were at a burn, but you're on television a little much,

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Speaker 1: but you know what I'm saying. And burn like a

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Speaker 1: burning man. Yeah, if you were like, yeah, if you

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Speaker 1: were going to burning man, Yeah, if you were at

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Speaker 1: a burn. Yes, I had a tattoos and like desert

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Speaker 1: boots and you know, a gas mask or something because

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Speaker 1: you're out in the heather. Yeah. Yeah, her high Nicki

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Speaker 1: Minaj ponytail is something. It's it's visually jarring a little

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Speaker 1: bit when I look at multiple times, I'm like this,

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Speaker 1: like someone give photoshop to try and make it like,

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Speaker 1: make Megan McCain Megan the Stallion. Yes, that that's what

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Speaker 1: I think is happening here. I feel that. So I

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Speaker 1: feel that her hairstylist is going for um NICKI Minaj

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Speaker 1: Megan the Stallion look that I appreciate. It's jarring to

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Speaker 1: see it on Megan McCain, but I appreciate the look.

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Speaker 1: Like maybe not on her specifically, but I'm not gonna.

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Speaker 1: I'm not gonna, you know, chime in and be like, oh,

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Speaker 1: it looks ridiculous. Even though it does, I would like

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Speaker 1: to see it on somebody else. Do you think she's

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Speaker 1: compensating for her internal racism. Yes, I think that someone

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Speaker 1: told her these styles will make you popular with the blacks,

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Speaker 1: and so she is she's leaning into them. Yeah, yeah, alright,

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Speaker 1: Megan McCain. I try and learn, uh and think as

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Speaker 1: little as possible about Megan McCain. I almost This is

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Speaker 1: why I didn't want to. This is why I had

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Speaker 1: to preface what I'm saying with you know, this is

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Speaker 1: an unpopular opinion, because her opinions it's like she is.

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Speaker 1: I feel like her role on the like no one

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Speaker 1: has ever been more aggrieved to have an easier, cushier job.

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Speaker 1: Part of me is like, why don't you just quit?

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Speaker 1: If you are so miserable, you clearly hate being on

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Speaker 1: the view. I'll take that job. Why don't you quit?

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Speaker 1: You no one's forcing you to do this. She's uh,

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Speaker 1: maybe the most the most poorly treated person in the world. Accord, No,

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Speaker 1: no one has ever had a harder It's I feel

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Speaker 1: for her. What is something you think is overrated? Overrated?

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Speaker 1: Is the Golden Globes? Uh? You know, obviously award shows.

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Speaker 1: You know, we can't count on them for inclusivity or

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Speaker 1: any of that, so you know that dream has long gone.

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Speaker 1: But reading about the specific press junket that they got

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Speaker 1: with Emily in Paris, that they were flown to Paris

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Speaker 1: and this and that, and then surprise Emily in Paris

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Speaker 1: when I gets nominated for a Golden Globe, it was

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Speaker 1: I mean, part of me kind of appreciate that they've

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Speaker 1: dropped to the veil of you know, objectivity, But yeah,

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Speaker 1: I gotta say I was a little surprised by how

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Speaker 1: blatantly they are willing to be bought. I guess it

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Speaker 1: was surprising to me. Oh that's that's that's how it is, baby,

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Speaker 1: let me tell you. Yeah. Like the mechanics of it

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Speaker 1: is very interesting. And I think it's just like it's

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Speaker 1: it's it's one of those things where like in l

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Speaker 1: A or it's like in the industry, it's very much

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Speaker 1: an open secret um. But I think as things come

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Speaker 1: to pass, like also looking at the makeup of the

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Speaker 1: body of the h f p A because it's you know,

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Speaker 1: they point out the utter lack of black members and

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Speaker 1: a lot of it is because it started off with

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Speaker 1: just a lot of European journalists who were you know,

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Speaker 1: it's it's four you have to you have to be

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Speaker 1: writing for a foreign outlet. That's sort of the way

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Speaker 1: the membership works. So it's a lot of people from

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Speaker 1: other countries who are representing whatever their media from abroad. Um.

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Speaker 1: And it's now like it's just a lot of like

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Speaker 1: older people because like you once, when you're in there,

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Speaker 1: you're in there and think that's the other thing when

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Speaker 1: people start seeing the nominations, like have they seen the

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Speaker 1: other shows? Did they know? I Will Destroy You? Came

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Speaker 1: out of that. But I think it's another I think

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Speaker 1: it's it's a it's a combination of a few different

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Speaker 1: things of like a older, like foreign perspective on like media,

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Speaker 1: or like the tastes are slightly different. And I think

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Speaker 1: the age thing is also just a huge That's a

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Speaker 1: really good point. And also I just want to make

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Speaker 1: very clear, if someone was willing to fly me to Paris,

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Speaker 1: I would vote for them for anything. So just to

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Speaker 1: be very clear, I'm not, you know, begrudget these people.

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Speaker 1: I get it. I think that was probably the most obvious.

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Speaker 1: It's like, oh wow, it really I guess that is

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Speaker 1: how it works. And then I think also seeing um,

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Speaker 1: the movie Music, seeing Kate Hudson, I haven't I haven't

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Speaker 1: seen the film, but you know, seeing Kate Hudson be

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Speaker 1: nominated for a Golden Globe for her work in the

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Speaker 1: film Music when it was so widely you know, panned,

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Speaker 1: I I guess it was a moment of this seems

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Speaker 1: not to reflect the genuine tastes. It seems out of

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Speaker 1: step with the tastes of you know, people that I

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Speaker 1: listened to and people that make up my community. So

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Speaker 1: I think you're probably right that, like the people who

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Speaker 1: are doing the voting. They're just so you know, they're

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Speaker 1: not the people who make up you know, my community,

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Speaker 1: the people on Twitter that I you know, think of

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Speaker 1: its taste makers. It's like, yeah, that's why I like,

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Speaker 1: I mean, and i've but I've said this ship too,

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Speaker 1: Like I look at the nominees, I would be like, y'all,

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Speaker 1: what are y'all doing over there? Like what's going on?

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Speaker 1: You gotta take it kind of take it in balance.

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Speaker 1: But I think, you know, it's awards season is always

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Speaker 1: like a big talking point. But yeah, I think a

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Speaker 1: lot of the snumps were glaring. But that's why, over time,

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Speaker 1: I think we have to just sort of release our

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Speaker 1: idea that like any of these awards shows are indicators

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Speaker 1: of how good anything is anymore, because we talked about

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Speaker 1: how they leave so many things out that completely take

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Speaker 1: out like any semblance of objectively saying this was the

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Speaker 1: best this thing or whatever or this got people in

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Speaker 1: the seats, which we have to give a shout out

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Speaker 1: for that, you know, on some level, rather than like, well,

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Speaker 1: what was high art the whole. Yeah, Yeah, it's just

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Speaker 1: it's so influential within the industry of like what ends

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Speaker 1: up getting made and like whose careers then take off,

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Speaker 1: especially the Academy Awards, and it's just it's so biased

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Speaker 1: and like gammable, whether it be the gifts that people

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Speaker 1: are bought or whether it be like if you make

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Speaker 1: a movie about movies, they're like brilliant sir a movie

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Speaker 1: in which a film producer is the hero. And it's

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Speaker 1: like I watched Malcolm and Marie last night and it's

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Speaker 1: basically that. Uh and for the Hollywood for impress, Like

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Speaker 1: I always talked about how the Tourist a that Johnny

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Speaker 1: Depp Angelina Jolie movie from two thousand and ten was

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Speaker 1: like I remember it coming out everyone being like, this

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Speaker 1: is a turd, and then that got nominated and I

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Speaker 1: think Johnny Depper Angelina jo only were nominated for like

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Speaker 1: one of the major awards and it won something big.

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Speaker 1: And but it's a movie about Europe, you know, it's

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Speaker 1: like set in Venice, and presumably they like had sent

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Speaker 1: people to Venice to to get them to vote for it.

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Speaker 1: But this is actually so fascinating as like, uh, you know,

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Speaker 1: doesn't live in l A has no connection to how

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Speaker 1: movies and how films get made. This is fascinating to

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Speaker 1: hear the intermachinations of how it all works. Yeah, it's

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Speaker 1: it's it's kind of it makes you believe in yourself

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Speaker 1: a little bit more, to be honest when you look

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Speaker 1: at it at the same time, because you're like, it's

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Speaker 1: not that these people are so good, it's that that

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Speaker 1: there's a certain way they get there too. So there's

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Speaker 1: no like you don't have to I think for any

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Speaker 1: creator who's like, well, I'm not at this level, it's like,

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Speaker 1: there's a lot of ways to do this, and sometimes

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Speaker 1: it's not because it's off the strength of your work. Yeah,

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Speaker 1: that nothing makes you feel better about like your own

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Speaker 1: creativity than like finding out about the the nepotism in Hollywood.

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Speaker 1: It's like, oh, okay, so this is just like a

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Speaker 1: family business type ship that they're like Elizabeth Olsen is

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Speaker 1: the Olsen Twins younger sister, but also she's fantastic. It's like,

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Speaker 1: you know, it's it's one of those weird things. I

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Speaker 1: don't even know how to like what other industry is

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Speaker 1: like this, you know, because yeah, politics, politics, like even

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Speaker 1: like basketball coaching is like that. That's a like everything

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Speaker 1: is like this. I feel like, you know, the people

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Speaker 1: who have success want their children to have success, and

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Speaker 1: so they like push them in that direction and then

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Speaker 1: they have all the connections in the world and yeah,

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Speaker 1: that ship just happens, except for like sports doesn't quite

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Speaker 1: work out that way, like for actual athletes. But man,

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Speaker 1: I'm just kind of reading up on music and have

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Speaker 1: you heard about this stuff? Yeah, just music in general

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Speaker 1: music the movie it's pretty good stuff with music is

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Speaker 1: so like, it's funny to me because I have in

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Speaker 1: in past lives, I've worked really closely with celebrity pr

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Speaker 1: in other podcast gigs. And what's funny to me about

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Speaker 1: music is that everybody now agrees and sees that this

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Speaker 1: this movie was a terrible mistake. It might have been

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Speaker 1: like able to sneak by when it was first made,

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Speaker 1: but now and like it certainly does not fly. And

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Speaker 1: still watching the kind of PR machine that I know

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Speaker 1: works behind the scenes and this kind of work, like

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Speaker 1: seeing other celebrities post about it because you know, they

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Speaker 1: gotta they got, you know, an image and some some

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Speaker 1: text to post, and then seeing their you know, their

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Speaker 1: followers like did you know this movie is really ablest

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Speaker 1: and a lot of the community is really against it,

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Speaker 1: And then being like, no, I didn't know it's been

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Speaker 1: really funny to watch those two things bump up against

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Speaker 1: each other. Yeah. Um, alright, well, uh, we are going

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Speaker 1: to we'll have to watch music if we're gonna speak

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Speaker 1: too much more about it. But yeah, I just read

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Speaker 1: this Sias movie. This is directed and written by Sia uh.

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Speaker 1: And it's about a newly sober drug dealer whose little

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Speaker 1: sister is on the spectrum. And it shoots a lot

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Speaker 1: of uh scenes from inside the little sister, whose name

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Speaker 1: is Music, uh, from inside her head. And so you

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Speaker 1: get like a person who's not on the spectrum's version

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Speaker 1: of what it's like inside the head of a person

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Speaker 1: who is on the spectrum. And people people say it's

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Speaker 1: not they didn't nail it. Creative for yourself. Yeah, uh, ambitious,

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Speaker 1: ambitious opening gambit for a film career. Alright, let's take

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Speaker 1: a quick break, uh, and we will be right back

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00:24:12,640 --> 00:24:22,600
Speaker 1: and we're back. Uh. And so COVID relief is popular. Um,

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Speaker 1: and yet you wouldn't know it based on just watching

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Speaker 1: the conversations that happen on Capitol Hill around it. It's

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Speaker 1: just all this finagling and maneuvering and it's frustrating. It's

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Speaker 1: very popular. Like we've known it's popular, but so there's

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Speaker 1: new polling that shows how popular it is, and it's

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Speaker 1: it's just exhausting to talk about how taking care of

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Speaker 1: people is literally the fucking answer to nine nine percent

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Speaker 1: of our problems right now. Just taking care of people,

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Speaker 1: not arresting people, not having more cops or less cops

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Speaker 1: or whatever, just more care, more generosity, more kindness. Because

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Speaker 1: people are lacking. They're suffering from lack. And the answer

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Speaker 1: isn't to debate how much a working mother needs in

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Speaker 1: stimulus money. It's that they people need money, and they

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Speaker 1: need it quickly. So many experts talk about, you know,

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Speaker 1: how the current administration can do more to actually deliver

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Speaker 1: tangible relief to people rather than passing a bill just

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Speaker 1: to take a box to say, you passed a relief

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Speaker 1: bill and you can walk into the mid terms with that,

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Speaker 1: and then also water it down enough to not anger

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Speaker 1: the fucking subterranean demons across the aisle that you're for

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Speaker 1: some reason considering when you're creating this legislation. So when

423
00:25:44,040 --> 00:25:46,680
Speaker 1: you look at like how that this debate is going,

424
00:25:46,720 --> 00:25:50,600
Speaker 1: even like internally with Democrats, you think, just go full force,

425
00:25:50,880 --> 00:25:53,440
Speaker 1: full hot, whole hog with the relief, help people out.

426
00:25:53,480 --> 00:25:55,560
Speaker 1: We have the money to do it. And when you

427
00:25:55,600 --> 00:25:58,160
Speaker 1: look at the just the numbers, the polling that's come out,

428
00:25:58,560 --> 00:26:02,480
Speaker 1: it's very pop alert in its current state, especially with

429
00:26:02,800 --> 00:26:05,240
Speaker 1: people that are called swing voters. And now what's the

430
00:26:05,240 --> 00:26:07,680
Speaker 1: swing voter? Now, let me just let me read these

431
00:26:07,760 --> 00:26:10,720
Speaker 1: facts and just envision these people for a second that

432
00:26:10,760 --> 00:26:15,040
Speaker 1: are saying they funk with the Joe Biden stimulus. Of

433
00:26:15,040 --> 00:26:19,440
Speaker 1: respondents who split their ticket in the election between Trump

434
00:26:19,520 --> 00:26:24,240
Speaker 1: and down ballot Democratic candidates supported the bill, eighty three

435
00:26:24,240 --> 00:26:26,679
Speaker 1: percent of those who split their ticket last November between

436
00:26:26,760 --> 00:26:31,800
Speaker 1: Biden and GOP candidates back to the bill. Sixty of

437
00:26:31,880 --> 00:26:35,919
Speaker 1: voters who backed Hillary Clinton in sixteen and Trump in

438
00:26:37,240 --> 00:26:40,720
Speaker 1: approved of the legislation, and those who voted for Trump

439
00:26:40,720 --> 00:26:47,160
Speaker 1: in sixteen but switched to Biden in supported it. First

440
00:26:47,160 --> 00:26:49,640
Speaker 1: of all, who is the person who went Clinton to Trump?

441
00:26:51,640 --> 00:26:59,520
Speaker 1: Who are you? There's that that one? A bunch of

442
00:26:59,560 --> 00:27:02,919
Speaker 1: people over Yeah, I think there's this attitude like I

443
00:27:02,960 --> 00:27:05,280
Speaker 1: forget who it was that said this that we didn't

444
00:27:05,320 --> 00:27:09,879
Speaker 1: need COVID relief immediately because American families have have been

445
00:27:09,920 --> 00:27:13,359
Speaker 1: sitting on money waiting for the economy to reopen. I forget,

446
00:27:13,359 --> 00:27:18,440
Speaker 1: I forget who said it, um, some Republican, but it's

447
00:27:18,480 --> 00:27:21,280
Speaker 1: I think there is a real disconnect between the actual

448
00:27:21,359 --> 00:27:25,080
Speaker 1: lived lives of people out there right now and the

449
00:27:25,080 --> 00:27:27,480
Speaker 1: people who are making these decisions. You know, I don't

450
00:27:27,520 --> 00:27:31,280
Speaker 1: think they understand how many people, most of whom are

451
00:27:31,359 --> 00:27:34,360
Speaker 1: moms and women, are struggling right now. Like women are

452
00:27:34,400 --> 00:27:37,160
Speaker 1: going through a crisis, and truly it is not just

453
00:27:37,240 --> 00:27:40,960
Speaker 1: a women's crisis. It's in everybody's crisis. You know, women

454
00:27:41,000 --> 00:27:44,040
Speaker 1: are dropping out of the workforce, women are are are

455
00:27:44,080 --> 00:27:47,920
Speaker 1: really struggling. And so I think that the fact that

456
00:27:48,359 --> 00:27:50,960
Speaker 1: the people who are making these decisions are so out

457
00:27:50,960 --> 00:27:53,080
Speaker 1: of touch that they have no sense of what your

458
00:27:53,119 --> 00:27:56,359
Speaker 1: average person is actually going through, and that this that

459
00:27:56,480 --> 00:27:59,560
Speaker 1: COVID really yeah, no ship it's popular. People need sucking money, right,

460
00:27:59,560 --> 00:28:02,840
Speaker 1: Like that's it's just so simple. It's so simple, right,

461
00:28:03,560 --> 00:28:07,359
Speaker 1: It's it demonstrates something, right because it is so clean

462
00:28:07,440 --> 00:28:11,119
Speaker 1: cut what they should be doing based on you know,

463
00:28:11,200 --> 00:28:15,040
Speaker 1: they're elected to represent the people. The people are like,

464
00:28:15,119 --> 00:28:18,240
Speaker 1: I mean, if you just look at the plurality of people,

465
00:28:18,480 --> 00:28:24,919
Speaker 1: everybody is behind this one direction that things should be going.

466
00:28:25,080 --> 00:28:30,199
Speaker 1: They should be increasing aid to people. Uh, because of

467
00:28:30,240 --> 00:28:34,919
Speaker 1: the pandemic. But they're not. And that's the fact that

468
00:28:34,960 --> 00:28:37,320
Speaker 1: they're not I feel like, and this is probably why

469
00:28:37,359 --> 00:28:42,400
Speaker 1: it's so exhausting, why it feels so exhausting to me,

470
00:28:42,880 --> 00:28:46,160
Speaker 1: is that they're they're not actually willing to engage you

471
00:28:46,600 --> 00:28:50,480
Speaker 1: with the truth, right, Like they're not. Nobody is saying, yeah,

472
00:28:50,480 --> 00:28:53,200
Speaker 1: but we can't give you that much money because uh,

473
00:28:53,320 --> 00:28:55,920
Speaker 1: capitalism and like all the all the real reasons they

474
00:28:55,920 --> 00:28:59,640
Speaker 1: won't give it to you. So they're just making the case,

475
00:29:00,080 --> 00:29:02,920
Speaker 1: letting you make the case, making the case as well.

476
00:29:02,920 --> 00:29:07,400
Speaker 1: But then quietly, behind the scenes, all this bullshit and

477
00:29:07,600 --> 00:29:11,240
Speaker 1: maneuvering is going on, and nobody's nobody's there to make

478
00:29:11,280 --> 00:29:16,000
Speaker 1: the actual case for why why there's pushback, right, that's

479
00:29:16,040 --> 00:29:19,480
Speaker 1: just quiet They leave that part unsaid, and so it's

480
00:29:19,560 --> 00:29:23,680
Speaker 1: just this exhausting process of arguing them, being like, yeah,

481
00:29:23,720 --> 00:29:26,840
Speaker 1: you're right, you're right, and then nobody doing anything right.

482
00:29:27,400 --> 00:29:30,680
Speaker 1: You can't like there's nothing really that you can do

483
00:29:30,800 --> 00:29:36,680
Speaker 1: about that, because and that's that's what's so frustrating and exhausting,

484
00:29:36,760 --> 00:29:39,600
Speaker 1: is that like you can say what's true and they

485
00:29:39,640 --> 00:29:43,760
Speaker 1: can agree, and then nothing happens. They have like little

486
00:29:44,320 --> 00:29:47,800
Speaker 1: stop gaps built in where they can just make nothing happen,

487
00:29:48,760 --> 00:29:51,720
Speaker 1: and we have the money, Like if and if COVID

488
00:29:52,240 --> 00:29:55,640
Speaker 1: showed us anything, is that we the United States has

489
00:29:55,720 --> 00:29:58,360
Speaker 1: money to fund whatever it is that that we decide

490
00:29:58,520 --> 00:30:00,400
Speaker 1: is worth funding. And so it's not it's not as

491
00:30:00,440 --> 00:30:03,720
Speaker 1: if we don't have the money too to do this.

492
00:30:04,240 --> 00:30:09,120
Speaker 1: We completely do. But it's all of these ridiculous ideological

493
00:30:09,240 --> 00:30:13,320
Speaker 1: considerations of like, well, if we give people money, then

494
00:30:13,720 --> 00:30:16,160
Speaker 1: maybe they'll I don't know, pay their rent. I actually

495
00:30:16,200 --> 00:30:18,560
Speaker 1: don't even know, like what the what the downside is

496
00:30:18,720 --> 00:30:21,320
Speaker 1: if we give people this money that they obviously need,

497
00:30:21,920 --> 00:30:26,440
Speaker 1: then it will be bad because capitalism it really we

498
00:30:26,520 --> 00:30:30,240
Speaker 1: have the money to fund it. We as a country,

499
00:30:30,320 --> 00:30:33,680
Speaker 1: we have decided what we want to prioritize. And it's

500
00:30:33,720 --> 00:30:36,640
Speaker 1: so disgusting to me that in the United States we

501
00:30:36,720 --> 00:30:40,200
Speaker 1: have not prioritized the need the financial needs of citizens.

502
00:30:40,200 --> 00:30:42,240
Speaker 1: It's just it makes it makes me so sad. I

503
00:30:42,280 --> 00:30:44,160
Speaker 1: have so many friends in other countries that are like, oh,

504
00:30:44,320 --> 00:30:48,720
Speaker 1: you all just got some of you got a check once,

505
00:30:49,200 --> 00:30:52,240
Speaker 1: some of you, Wow, I've been getting relief payments every

506
00:30:52,280 --> 00:30:55,280
Speaker 1: month consistently. Good luck. You know. It's it's really, it's

507
00:30:55,320 --> 00:31:00,560
Speaker 1: really hard just to hear, Yeah, it's it's what we've

508
00:31:00,600 --> 00:31:03,240
Speaker 1: been saying, that capitalism is there to protect the interest

509
00:31:03,280 --> 00:31:06,600
Speaker 1: of capital, and you know, capital being like the people

510
00:31:06,760 --> 00:31:09,480
Speaker 1: with the money. Where where is the vast majority of

511
00:31:09,480 --> 00:31:12,000
Speaker 1: the wealth. It's concentrated with like a small group of

512
00:31:12,040 --> 00:31:17,920
Speaker 1: people and corporations and like entities, and the whole system

513
00:31:18,120 --> 00:31:21,040
Speaker 1: is designed to keep it that way, to protect the

514
00:31:21,080 --> 00:31:24,040
Speaker 1: interests of the people who already have it. And so

515
00:31:24,480 --> 00:31:27,680
Speaker 1: that that's the thing that they can't that they won't say,

516
00:31:27,760 --> 00:31:30,400
Speaker 1: and so it's the thing that just gets left unsaid,

517
00:31:30,920 --> 00:31:35,440
Speaker 1: and they're pretending to agree with you, especially the Democratic

518
00:31:35,480 --> 00:31:37,680
Speaker 1: Party is pretending to agree with you, but they just

519
00:31:37,720 --> 00:31:41,600
Speaker 1: won't do the thing because that that would be acting

520
00:31:41,640 --> 00:31:44,680
Speaker 1: against the interests of capital. And if it's such a

521
00:31:44,720 --> 00:31:47,160
Speaker 1: weird game, because they have to stay empowered to protect

522
00:31:47,160 --> 00:31:49,440
Speaker 1: their capital. But the thing is to stay empower you

523
00:31:49,480 --> 00:31:52,120
Speaker 1: have to appeal to poor working people or just normal

524
00:31:52,200 --> 00:31:55,880
Speaker 1: people who need help that capitalism is ravaging. So it's like,

525
00:31:55,920 --> 00:31:58,920
Speaker 1: how do I keep selling them the poison thing while

526
00:31:58,960 --> 00:32:03,200
Speaker 1: pretending I'm the antidote. And it gets really confusing, and

527
00:32:03,320 --> 00:32:06,040
Speaker 1: especially like I get that mid terms are part of

528
00:32:06,040 --> 00:32:08,560
Speaker 1: the calculus, you know, and some people say what you

529
00:32:08,640 --> 00:32:11,320
Speaker 1: do now isn't gonna matter in two Actually it's not

530
00:32:11,320 --> 00:32:13,840
Speaker 1: gonna be front of mine for mid term voters. And

531
00:32:13,880 --> 00:32:17,000
Speaker 1: I think that is fair to say that it might

532
00:32:17,040 --> 00:32:19,840
Speaker 1: not be. But at the very end of the day,

533
00:32:19,960 --> 00:32:23,480
Speaker 1: wouldn't you rather put those people have the memory of thinking, well,

534
00:32:23,520 --> 00:32:27,160
Speaker 1: what happened when the Democrats and that's right, they actually

535
00:32:27,200 --> 00:32:30,080
Speaker 1: came through with help while other people were arguing about

536
00:32:30,760 --> 00:32:34,400
Speaker 1: who can are participating in kids sports? Um, I was

537
00:32:34,400 --> 00:32:36,960
Speaker 1: out here needing a check to so for my family

538
00:32:37,000 --> 00:32:39,920
Speaker 1: to survive, and to withhold that and just make it

539
00:32:40,000 --> 00:32:42,400
Speaker 1: like a drip rather than like a del uge that

540
00:32:42,440 --> 00:32:46,440
Speaker 1: someone will be like, yo, that was significant. Um, that's

541
00:32:46,480 --> 00:32:49,320
Speaker 1: just such a misstep and they're gonna fucking pay for

542
00:32:49,400 --> 00:32:52,600
Speaker 1: it again. And it's just sad because again, that's it's

543
00:32:52,640 --> 00:32:55,080
Speaker 1: so easy. Just take care of just take care of people,

544
00:32:55,240 --> 00:32:57,520
Speaker 1: that's all like. And I get that there's other people,

545
00:32:57,640 --> 00:33:00,320
Speaker 1: there's competing interests that are your donors, but at a

546
00:33:00,320 --> 00:33:02,760
Speaker 1: certain point we've got to figure it out. I think

547
00:33:02,800 --> 00:33:04,680
Speaker 1: you're so right. And I also think that there is

548
00:33:04,720 --> 00:33:07,480
Speaker 1: a you know, you brought up this sort of quote

549
00:33:07,560 --> 00:33:11,040
Speaker 1: unquote culture war stuff. Well it seems like one party

550
00:33:11,280 --> 00:33:14,280
Speaker 1: is is not interested in governing. Right there. It's like clear,

551
00:33:14,840 --> 00:33:18,760
Speaker 1: you know, when Marjorie Taylor Green films herself putting an

552
00:33:18,800 --> 00:33:22,040
Speaker 1: anti trans sign up, that's not gonna get money in

553
00:33:22,120 --> 00:33:24,560
Speaker 1: someone's pocket. That's not gonna get that's not gonna help

554
00:33:24,720 --> 00:33:26,680
Speaker 1: a constituent, right and so it's clear to me that

555
00:33:26,680 --> 00:33:29,600
Speaker 1: there is one party that is completely just not interested

556
00:33:29,600 --> 00:33:32,840
Speaker 1: in governing. Their interested in stunts and okay, fair, but

557
00:33:33,480 --> 00:33:36,440
Speaker 1: I do think that the people on the other side

558
00:33:36,520 --> 00:33:39,280
Speaker 1: are are exactly, like you said, missing this great opportunity

559
00:33:39,320 --> 00:33:43,520
Speaker 1: to be the people that when one party was just

560
00:33:43,520 --> 00:33:46,800
Speaker 1: just disinterested and checked out, be the people who consistently

561
00:33:47,040 --> 00:33:48,920
Speaker 1: got took care of people. That's what people want. People

562
00:33:48,960 --> 00:33:52,640
Speaker 1: don't care. I think that Americans don't care. I think

563
00:33:52,680 --> 00:33:56,520
Speaker 1: that most Americans don't care about all of these little

564
00:33:56,520 --> 00:33:59,800
Speaker 1: stunts and all of that. They want, you know, some

565
00:34:00,080 --> 00:34:02,000
Speaker 1: to government and take care of them and give them

566
00:34:02,000 --> 00:34:03,720
Speaker 1: what they need and give them support. And so I

567
00:34:04,000 --> 00:34:06,720
Speaker 1: firmly believe that, and so I do truly want the

568
00:34:06,720 --> 00:34:11,960
Speaker 1: Democrats to step up and provide that consistently. Yeah, I mean,

569
00:34:12,000 --> 00:34:15,000
Speaker 1: I can't imagine the support and pulling the will go

570
00:34:15,120 --> 00:34:19,680
Speaker 1: down because they were more generous with stimulus checks, you know,

571
00:34:19,760 --> 00:34:22,560
Speaker 1: like that all the all the information is there to say,

572
00:34:22,719 --> 00:34:26,320
Speaker 1: funk whatever. These greedy people are saying. People need help,

573
00:34:26,840 --> 00:34:30,080
Speaker 1: and unfortunately the people who are making these decisions, a

574
00:34:30,120 --> 00:34:32,960
Speaker 1: majority of them aren't around other people or have not,

575
00:34:33,239 --> 00:34:36,040
Speaker 1: are too far removed in their own life from that

576
00:34:36,080 --> 00:34:38,319
Speaker 1: time in their life when they needed help what it

577
00:34:38,400 --> 00:34:41,960
Speaker 1: was like to be like, oh shit, I'm literally having

578
00:34:42,040 --> 00:34:45,440
Speaker 1: I'm going check to check by a fucking margin of

579
00:34:45,640 --> 00:34:49,359
Speaker 1: sense that I'm having to carve out by getting rid

580
00:34:49,400 --> 00:34:52,400
Speaker 1: of my internet, trying to do it half with my neighbor,

581
00:34:52,400 --> 00:34:54,160
Speaker 1: trying to do all this other stuff. And that's just

582
00:34:54,239 --> 00:34:56,279
Speaker 1: not real to them. And I think it's there's such

583
00:34:56,320 --> 00:35:00,279
Speaker 1: a lack of compassion and the even a bill to

584
00:35:00,360 --> 00:35:02,640
Speaker 1: even see through these people's eyes, that it's just not real.

585
00:35:03,000 --> 00:35:04,640
Speaker 1: And I don't know, even with the Republicans, I don't

586
00:35:04,640 --> 00:35:07,000
Speaker 1: know if it's that party has also just become a

587
00:35:07,040 --> 00:35:09,920
Speaker 1: group of people who are so comfortable materially that they

588
00:35:09,920 --> 00:35:12,759
Speaker 1: can waste their time and culture war bullshit, you know

589
00:35:12,800 --> 00:35:15,120
Speaker 1: what I mean. And there's plenty who aren't. But if

590
00:35:15,160 --> 00:35:17,959
Speaker 1: that's the tone of your party, everybody kind of gets

591
00:35:18,000 --> 00:35:20,719
Speaker 1: lost because there's definitely a group of people who are

592
00:35:20,760 --> 00:35:24,000
Speaker 1: comfortable enough to just talk about this bullshit all day because, yeah,

593
00:35:24,360 --> 00:35:29,400
Speaker 1: like you're saying, hanging up, inflammatory, antagonistic, anti trans you know,

594
00:35:29,480 --> 00:35:33,399
Speaker 1: homophobic nonsense has no effect on anyone's you know, day

595
00:35:33,400 --> 00:35:36,279
Speaker 1: to day unless really you don't need you don't need

596
00:35:36,320 --> 00:35:38,960
Speaker 1: any other help. You're like, I'm good materially. I just

597
00:35:38,960 --> 00:35:42,160
Speaker 1: want to see them get mad and we talk. I

598
00:35:42,440 --> 00:35:45,799
Speaker 1: always bring up this anecdote from like a d n

599
00:35:45,840 --> 00:35:49,640
Speaker 1: C insider who talked about how when they're deciding if

600
00:35:49,680 --> 00:35:54,560
Speaker 1: somebody is good enough, like a good candidate too, to

601
00:35:54,680 --> 00:35:59,960
Speaker 1: be a candidate for a democratic like party, uh possession

602
00:36:00,280 --> 00:36:03,799
Speaker 1: or just anything, run for anything, the one of the

603
00:36:03,840 --> 00:36:05,840
Speaker 1: first tests they do, or the first test they do,

604
00:36:05,920 --> 00:36:09,200
Speaker 1: is go through your cell phone and look at how

605
00:36:09,239 --> 00:36:12,839
Speaker 1: many like how much money is in there, essentially uh

606
00:36:12,840 --> 00:36:16,600
Speaker 1: in your contacts and uh the like. I I think

607
00:36:16,640 --> 00:36:18,439
Speaker 1: about this all the time, which is why I bring

608
00:36:18,480 --> 00:36:21,439
Speaker 1: it up a lot. But it's I don't think it's

609
00:36:21,520 --> 00:36:24,480
Speaker 1: just and therefore they can donate to you. I think

610
00:36:24,480 --> 00:36:29,799
Speaker 1: it's and therefore you are trusted by the people who

611
00:36:30,239 --> 00:36:34,040
Speaker 1: are trusted to make decisions within this system. You're trusted

612
00:36:34,080 --> 00:36:37,560
Speaker 1: by the people. Right, You're trusted by the people who

613
00:36:37,600 --> 00:36:41,600
Speaker 1: control the capital and will allow you to win an

614
00:36:41,640 --> 00:36:45,560
Speaker 1: office and will allow you like you have social ties

615
00:36:45,719 --> 00:36:49,920
Speaker 1: that are going to hold you accountable to rich people. Essentially,

616
00:36:50,000 --> 00:36:52,279
Speaker 1: Like that's what they're doing. It's not. It's not just

617
00:36:52,400 --> 00:36:56,239
Speaker 1: like well like because they they could find ways to

618
00:36:56,600 --> 00:36:59,120
Speaker 1: fund and more and more like people are finding ways

619
00:36:59,160 --> 00:37:03,120
Speaker 1: to fund through um, you know, online like and through

620
00:37:03,280 --> 00:37:07,200
Speaker 1: just like mass movements. But the thing that is actually

621
00:37:07,280 --> 00:37:10,839
Speaker 1: important to them is that you have powerful people and

622
00:37:10,880 --> 00:37:14,879
Speaker 1: people with capital behind you, and like that just it's

623
00:37:15,120 --> 00:37:19,120
Speaker 1: at every level of the system, whether it's mainstream media,

624
00:37:19,560 --> 00:37:24,000
Speaker 1: mainstream Democrats, mainstream I mean, now the Republicans have like

625
00:37:24,280 --> 00:37:27,799
Speaker 1: spun off into and you look and it's no, it's

626
00:37:27,800 --> 00:37:30,600
Speaker 1: no coincidence that the people who are screaming the loudest

627
00:37:30,719 --> 00:37:34,239
Speaker 1: for you know, higher wages or more relief aren't part

628
00:37:34,280 --> 00:37:37,680
Speaker 1: of the big D Democrat party, you know what I mean.

629
00:37:37,800 --> 00:37:41,280
Speaker 1: That's and they had to come in their own way. Um.

630
00:37:41,360 --> 00:37:44,200
Speaker 1: And and that's already causing tension because you have people

631
00:37:44,239 --> 00:37:47,000
Speaker 1: now coming in who are trying to really advocate and

632
00:37:47,239 --> 00:37:49,080
Speaker 1: there are plenty people who are you know, big D

633
00:37:49,200 --> 00:37:52,960
Speaker 1: Democrats who aren't necessarily totally corporatized, but they're not allowed enough,

634
00:37:53,360 --> 00:37:55,480
Speaker 1: you know. And if they if they really feel this way,

635
00:37:55,520 --> 00:37:57,879
Speaker 1: they need to start making moves because it's not going

636
00:37:57,920 --> 00:38:01,759
Speaker 1: to help you at all state IMpower work. Yeah. I

637
00:38:02,120 --> 00:38:05,440
Speaker 1: remember hearing UM back when Stacey Abrams was running for governor.

638
00:38:06,000 --> 00:38:08,520
Speaker 1: UM like a hit job on her that was like, oh,

639
00:38:08,600 --> 00:38:11,400
Speaker 1: do you know she has all these unpaid student loans?

640
00:38:11,640 --> 00:38:14,440
Speaker 1: Don't be done And she was like, yeah, I have

641
00:38:14,600 --> 00:38:18,760
Speaker 1: unpaid student loans. Guess who else does? Everyone in the country.

642
00:38:18,800 --> 00:38:21,400
Speaker 1: It is so common trying to make it seem like

643
00:38:21,480 --> 00:38:25,440
Speaker 1: she was financially irresponsible for having for running for governor

644
00:38:25,480 --> 00:38:28,640
Speaker 1: while having unpaid student loans. Like how out of touch

645
00:38:28,680 --> 00:38:31,239
Speaker 1: can you get? Most people under a certain age still

646
00:38:31,239 --> 00:38:33,320
Speaker 1: have unpaid student loans. I know what I do write

647
00:38:33,320 --> 00:38:36,920
Speaker 1: like it's and yeah, it's like I think the idea

648
00:38:36,920 --> 00:38:38,600
Speaker 1: that you would need to have a certain kind of

649
00:38:38,600 --> 00:38:41,800
Speaker 1: financial comfort to even be vetted to run her office,

650
00:38:41,840 --> 00:38:44,640
Speaker 1: it's just really so it just so it just shows

651
00:38:44,640 --> 00:38:47,520
Speaker 1: you all that's wrong with our political system. Yeah, and

652
00:38:47,600 --> 00:38:50,640
Speaker 1: thinking how many people who decided to change careers because

653
00:38:50,680 --> 00:38:52,359
Speaker 1: they think of what the cost is going to be

654
00:38:52,520 --> 00:38:55,279
Speaker 1: and alter the course of their life completely. I mean,

655
00:38:55,320 --> 00:38:58,360
Speaker 1: like very subtly. I remember being like, how much loans

656
00:38:58,400 --> 00:39:01,440
Speaker 1: do I need if I want to go there? I'm like, okay,

657
00:39:01,880 --> 00:39:04,920
Speaker 1: state schools here, we come, Like I just for me personally,

658
00:39:04,920 --> 00:39:07,400
Speaker 1: it just didn't. I saw some of my other friends,

659
00:39:07,400 --> 00:39:09,720
Speaker 1: like they were talking about the debt, like the debts

660
00:39:09,719 --> 00:39:11,239
Speaker 1: they were about to take on and go to like

661
00:39:11,440 --> 00:39:14,719
Speaker 1: Occidental or you know these other private universals like oh ship,

662
00:39:14,880 --> 00:39:16,480
Speaker 1: I don't want to I don't want anything to do

663
00:39:16,520 --> 00:39:19,960
Speaker 1: with that ship. Um. But yeah, it's it's but again,

664
00:39:20,000 --> 00:39:22,520
Speaker 1: it's just to maximize profits for these other people as well.

665
00:39:22,880 --> 00:39:26,560
Speaker 1: Let's talk about Speck real quick. You guys know more

666
00:39:26,600 --> 00:39:28,720
Speaker 1: than we do at this point. We're recording this before

667
00:39:28,840 --> 00:39:35,000
Speaker 1: Trump's appearance over the weekend. But they wheeled into Speck

668
00:39:35,440 --> 00:39:38,560
Speaker 1: like a golden statue of of Donald Trump. It's kind

669
00:39:38,600 --> 00:39:41,760
Speaker 1: of like it looks like the Frishes Big Boy uh

670
00:39:42,000 --> 00:39:44,560
Speaker 1: or the I don't know if that's a Big Bob's

671
00:39:44,600 --> 00:39:50,600
Speaker 1: Big Boys. It's in Dayton, I think is where I

672
00:39:50,640 --> 00:39:53,480
Speaker 1: had Frishes, so they might Yeah, it might be a

673
00:39:53,520 --> 00:39:57,520
Speaker 1: Hardis or hard He's uh Karl's Jr. Type thing. Okay,

674
00:39:58,560 --> 00:40:01,480
Speaker 1: but yeah, I have the vibes very Yeah, it's cartoonish.

675
00:40:01,640 --> 00:40:05,080
Speaker 1: It's it's clearly like, uh, Trump took a beach day

676
00:40:05,160 --> 00:40:08,399
Speaker 1: from the Oval, because up top it's business and down

677
00:40:08,480 --> 00:40:11,799
Speaker 1: below it's red and white and blue American flag board

678
00:40:11,800 --> 00:40:15,960
Speaker 1: shorts with sandals um on a surfboard. I think. But

679
00:40:16,080 --> 00:40:19,520
Speaker 1: my whole thing is like, is this I get it.

680
00:40:19,760 --> 00:40:23,200
Speaker 1: Everybody's yes, it's the idolatry of you know, they love

681
00:40:23,360 --> 00:40:28,040
Speaker 1: Donald Trump and the Golden Calf and Israelites and fall sidles, YadA, YadA.

682
00:40:28,440 --> 00:40:30,600
Speaker 1: But like it's so on the nose that this is

683
00:40:30,640 --> 00:40:34,319
Speaker 1: either some kind of Sasha Baron Cohen bit or are

684
00:40:34,360 --> 00:40:37,360
Speaker 1: these people so hell bent on bringing the end times

685
00:40:37,440 --> 00:40:40,520
Speaker 1: that they are literally just going a whole hobby. Like, yo, God,

686
00:40:40,760 --> 00:40:42,719
Speaker 1: put the smash on us. What more do we have

687
00:40:42,800 --> 00:40:45,759
Speaker 1: to do? We have a false idol, we're trying to

688
00:40:45,760 --> 00:40:48,759
Speaker 1: get it popping in Israel. Please come back. Like, I

689
00:40:48,800 --> 00:40:51,280
Speaker 1: don't what, I don't It's it has me so fucked

690
00:40:51,320 --> 00:40:55,400
Speaker 1: up because it's just so aggressively fucking I don't know,

691
00:40:55,480 --> 00:40:57,319
Speaker 1: it's just on the nose. There's no other word for

692
00:40:57,320 --> 00:41:00,880
Speaker 1: this ship. Yeah, and also I have to say it

693
00:41:00,960 --> 00:41:03,760
Speaker 1: kind of looks it's kind of given me Fonzie vibes.

694
00:41:04,160 --> 00:41:06,279
Speaker 1: Something about the way it looks he's given me like

695
00:41:06,360 --> 00:41:10,840
Speaker 1: the fons It's also like the uh suit up top

696
00:41:11,280 --> 00:41:15,760
Speaker 1: like board shorts below. Thing is like straight out of

697
00:41:15,960 --> 00:41:19,640
Speaker 1: like somebody's retirement party. Like it's like they're throwing a

698
00:41:19,680 --> 00:41:23,880
Speaker 1: retirement party for him. But I don't know, like maybe

699
00:41:23,960 --> 00:41:27,720
Speaker 1: this is the first thing we get of Donald Trump's

700
00:41:27,760 --> 00:41:31,799
Speaker 1: rebrand where he comes out as like the fun retires.

701
00:41:33,880 --> 00:41:36,120
Speaker 1: What if he came out and was like, see my

702
00:41:36,200 --> 00:41:42,080
Speaker 1: legs work, yeah, my god, gosh, and see all four

703
00:41:42,120 --> 00:41:45,120
Speaker 1: of his quads. That's where for the best fonses just

704
00:41:45,360 --> 00:41:48,319
Speaker 1: doing leg presses the time, never skipped leg day, in fact,

705
00:41:48,360 --> 00:41:51,640
Speaker 1: all day day, motherfucker. It's yeah, I don't know. That's

706
00:41:51,680 --> 00:41:57,160
Speaker 1: why I'm like, who is this for? Because the previous

707
00:41:57,200 --> 00:42:00,360
Speaker 1: story about the stimulus relief shows that it's it's the

708
00:42:01,000 --> 00:42:03,600
Speaker 1: divisions in the party is more than just Trump or

709
00:42:03,680 --> 00:42:07,960
Speaker 1: no Trump. So what like, you know, are the Trump

710
00:42:08,000 --> 00:42:10,319
Speaker 1: stands like in the GOP like up top sort of

711
00:42:10,360 --> 00:42:12,719
Speaker 1: like the Nancy Pelosi's and that they're sort of like

712
00:42:12,840 --> 00:42:15,799
Speaker 1: whatever the larger movement is of the party they're going

713
00:42:15,840 --> 00:42:18,960
Speaker 1: along with without being like, wait, some people that voted

714
00:42:19,000 --> 00:42:21,560
Speaker 1: for the president also want relief, Like shouldn't we factor

715
00:42:21,600 --> 00:42:24,120
Speaker 1: that into like our policy making, But no, they want

716
00:42:24,120 --> 00:42:28,959
Speaker 1: to just fucking kiss a golden idol. Yeah. The other

717
00:42:29,000 --> 00:42:31,120
Speaker 1: thing to say is that, you know, as much as

718
00:42:31,160 --> 00:42:33,600
Speaker 1: it's like easy to like laugh at seepack and like

719
00:42:33,680 --> 00:42:36,120
Speaker 1: everything that's like, oh wow, you've been canceled. Now what

720
00:42:36,280 --> 00:42:39,960
Speaker 1: in this golden idol stuff? You know, it's in the end.

721
00:42:40,520 --> 00:42:42,520
Speaker 1: I just have to say again, this is a collection

722
00:42:42,719 --> 00:42:46,560
Speaker 1: of hateful people in formal business attire and medieval battle

723
00:42:46,640 --> 00:42:50,400
Speaker 1: armor that are gathering to discuss how to move forward

724
00:42:50,440 --> 00:42:54,120
Speaker 1: with their agenda to take people's rights away. That's what

725
00:42:54,360 --> 00:42:56,640
Speaker 1: is being discussed. Aside from all the other ship we

726
00:42:56,640 --> 00:42:59,160
Speaker 1: can laugh about. That is what they are talking about.

727
00:42:59,480 --> 00:43:02,400
Speaker 1: And it's not just goofy idiots that are chucking it

728
00:43:02,520 --> 00:43:05,439
Speaker 1: up for the lulls um. They just appear this way

729
00:43:05,480 --> 00:43:08,920
Speaker 1: to people with the antithetical value set, uh, and they're like, oh,

730
00:43:08,960 --> 00:43:11,160
Speaker 1: well this is nonsense. No, no, no, these people are

731
00:43:11,200 --> 00:43:13,279
Speaker 1: for real in there and they are trying to do it,

732
00:43:13,280 --> 00:43:16,080
Speaker 1: even in their weird, misguided way. They're they're about what

733
00:43:16,120 --> 00:43:21,719
Speaker 1: they're talking about. Oh yeah, I remember a decade ago

734
00:43:22,040 --> 00:43:28,000
Speaker 1: looking at like these pictures of Nazi Party, like Nazi

735
00:43:28,120 --> 00:43:31,399
Speaker 1: rallies in the United States during like in the lead

736
00:43:31,480 --> 00:43:34,239
Speaker 1: up to World War Two, and like just how many

737
00:43:34,320 --> 00:43:36,759
Speaker 1: Nazis there were, And that's seeming weird to me. That

738
00:43:36,800 --> 00:43:39,680
Speaker 1: doesn't seem weird to me anymore. Like it's like, oh, yeah,

739
00:43:39,680 --> 00:43:42,080
Speaker 1: we still have those. Yeah, they just wear suits now

740
00:43:42,320 --> 00:43:47,600
Speaker 1: and worship a golden idol. It's more cartoonish than yeah. Alright,

741
00:43:48,080 --> 00:43:51,799
Speaker 1: real quick, while we're talking about the right wing parlor. Uh,

742
00:43:51,840 --> 00:43:57,960
Speaker 1: their little app is back a little a little Parley's

743
00:43:58,880 --> 00:44:02,640
Speaker 1: a little Parley. Um oops, it came back to life

744
00:44:02,680 --> 00:44:06,799
Speaker 1: like a glitchy Jason Vorhees at the end of January.

745
00:44:06,840 --> 00:44:12,960
Speaker 1: It's now controlled by Rebecca Mercer of the Mercer family. Uh,

746
00:44:13,000 --> 00:44:16,680
Speaker 1: and it has a new web host, uh sky Silk,

747
00:44:18,000 --> 00:44:23,960
Speaker 1: which claims that they won't uh they also won't stand

748
00:44:24,000 --> 00:44:27,600
Speaker 1: for hate speech. But they also have a troll filter

749
00:44:28,040 --> 00:44:32,279
Speaker 1: that you can turn on and off. Uh, so like

750
00:44:32,360 --> 00:44:34,880
Speaker 1: you can just be like give me the full dirty

751
00:44:34,960 --> 00:44:40,440
Speaker 1: troll experience and like, oh wow, just straight hending, no cut,

752
00:44:40,480 --> 00:44:46,440
Speaker 1: no coca straight how do they wait? But how do

753
00:44:46,480 --> 00:44:49,240
Speaker 1: you say you won't allow hate speech? There's they're skirting

754
00:44:49,239 --> 00:44:51,320
Speaker 1: that by saying, well, there's a filter if it offends

755
00:44:51,360 --> 00:44:56,120
Speaker 1: you or like just just gaslighting, just you know, being like, yeah,

756
00:44:56,160 --> 00:44:58,600
Speaker 1: we would never allow that sort of hate speech, but

757
00:44:58,880 --> 00:45:02,120
Speaker 1: not but all's being like, and we stand for First

758
00:45:02,160 --> 00:45:06,200
Speaker 1: Amendment rights, and you know they're going to define First

759
00:45:06,200 --> 00:45:10,320
Speaker 1: Amendment rights as hate speech. The CEO of Sky Silk

760
00:45:11,120 --> 00:45:16,480
Speaker 1: Kevin Mitosian. His background is a two thousand four Dean

761
00:45:16,600 --> 00:45:20,719
Speaker 1: Cane thriller. Uh he's a he's a like failed right

762
00:45:20,760 --> 00:45:25,360
Speaker 1: wing film producer who produced the movie Lost starring Dean

763
00:45:25,440 --> 00:45:29,440
Speaker 1: Caine in two thousand four. Uh so like purely a

764
00:45:29,600 --> 00:45:32,799
Speaker 1: play getting people to rent a movie because they think

765
00:45:32,800 --> 00:45:36,040
Speaker 1: they're renting the ABC show. Yeah, that came out that

766
00:45:36,120 --> 00:45:41,080
Speaker 1: fucking year too, Like could it be wrong? Oh my god? Yeah.

767
00:45:41,120 --> 00:45:43,280
Speaker 1: I used to have such a crush on Dean Kane

768
00:45:43,320 --> 00:45:47,120
Speaker 1: from when he was on Lois and Clark. I had

769
00:45:47,160 --> 00:45:51,040
Speaker 1: such a massive crush on him and seeing the seeing

770
00:45:51,040 --> 00:45:55,520
Speaker 1: how far I have so wrong? Young me was so wrong? Yeah,

771
00:45:55,680 --> 00:45:59,480
Speaker 1: young young mustle was wrong about can't we can't be

772
00:45:59,520 --> 00:46:01,400
Speaker 1: hard on our form ourselves as long as we know

773
00:46:01,480 --> 00:46:03,560
Speaker 1: now and they're doing better. But I remember Dean came

774
00:46:03,600 --> 00:46:04,759
Speaker 1: be like I just saw my friends like, you know,

775
00:46:04,800 --> 00:46:08,239
Speaker 1: he's part of Japanese, right, yeah, and that was and

776
00:46:08,280 --> 00:46:11,600
Speaker 1: then the god I mean, but there he is. Just

777
00:46:11,600 --> 00:46:14,520
Speaker 1: just show yourself, Dean. There, you are a piece of ship.

778
00:46:14,960 --> 00:46:20,760
Speaker 1: But Parlor's biggest threat continues to be Parlor itself because

779
00:46:21,320 --> 00:46:26,160
Speaker 1: the website just yeah, the website operates at a snail's pace,

780
00:46:26,719 --> 00:46:30,319
Speaker 1: wasn't working at all on smartphones, which is not good

781
00:46:30,400 --> 00:46:35,040
Speaker 1: for a app, and they're not accepting new users as

782
00:46:35,080 --> 00:46:39,600
Speaker 1: of early February. Uh, and returning users discovered that all

783
00:46:39,640 --> 00:46:43,560
Speaker 1: their old posts and content had been removed. Uh but

784
00:46:43,880 --> 00:46:47,120
Speaker 1: now in the hands of the do o J right exactly. Yeah,

785
00:46:47,120 --> 00:46:52,879
Speaker 1: I know they were all skimmed. Uh hackers, people who

786
00:46:52,880 --> 00:46:55,960
Speaker 1: are like, oh, it's just there. Yeah, I just noticed Parlor.

787
00:46:56,200 --> 00:46:59,719
Speaker 1: The entire post history of all Parlor is on my

788
00:47:00,000 --> 00:47:04,480
Speaker 1: desk by accident. Yeah. Um yeah, this is none of

789
00:47:04,560 --> 00:47:06,480
Speaker 1: what you just said is surprising to me. I do

790
00:47:06,560 --> 00:47:10,040
Speaker 1: a lot of work on platform accountability and platforms and

791
00:47:10,239 --> 00:47:12,840
Speaker 1: how they how they contribute to things like hate speech

792
00:47:12,920 --> 00:47:17,480
Speaker 1: and online harassment and disinformation and misinformation. Every expert in

793
00:47:17,520 --> 00:47:20,160
Speaker 1: the field has said the reason why Parlor is not

794
00:47:20,239 --> 00:47:22,719
Speaker 1: going to have a big impact is because you know,

795
00:47:23,040 --> 00:47:27,360
Speaker 1: on bigger platforms like Facebook and Twitter are able to

796
00:47:27,360 --> 00:47:32,080
Speaker 1: really have that bigger infrastructure and that bigger digital footprint. Partler,

797
00:47:32,120 --> 00:47:34,560
Speaker 1: it's never going to be able to have that. Furthermore,

798
00:47:35,000 --> 00:47:37,480
Speaker 1: folks on the far right, a big reason of what

799
00:47:37,520 --> 00:47:40,080
Speaker 1: they like to do online, for a big reason why

800
00:47:40,120 --> 00:47:42,320
Speaker 1: they're online in the first place, is to harass others.

801
00:47:42,320 --> 00:47:44,799
Speaker 1: You know, they like sending the mean tweets. They like,

802
00:47:45,239 --> 00:47:48,439
Speaker 1: you know, saying like oh liberal tears, snowflakes, YadA, YadA, YadA,

803
00:47:48,480 --> 00:47:50,400
Speaker 1: all that kind of stuff. They enjoy that. That's a

804
00:47:50,440 --> 00:47:52,680
Speaker 1: big part of why they are online. And so on

805
00:47:52,719 --> 00:47:55,960
Speaker 1: a platform like Parlor, where everybody already shares their terrible

806
00:47:56,080 --> 00:47:58,080
Speaker 1: far right opinion, it's going to be a lot less

807
00:47:58,080 --> 00:48:01,640
Speaker 1: fun because they can't do that really fundamental part of

808
00:48:01,640 --> 00:48:03,759
Speaker 1: why they're online. And so I don't think it's going

809
00:48:03,800 --> 00:48:06,759
Speaker 1: to be this platform that everybody who's the platform flocks to.

810
00:48:08,480 --> 00:48:14,200
Speaker 1: The aggression and violence is the point, not not necessarily

811
00:48:14,239 --> 00:48:19,920
Speaker 1: the ideological content, right exactly that like they really enjoy,

812
00:48:20,040 --> 00:48:23,400
Speaker 1: you know, harassing others and just causing chaos. And so

813
00:48:23,440 --> 00:48:27,719
Speaker 1: if they're pushed to their own little jankie almost inoperable

814
00:48:27,760 --> 00:48:30,640
Speaker 1: corner of the web. I just don't see it as

815
00:48:30,719 --> 00:48:35,000
Speaker 1: a huge threat in that there. Yeah, they're they. I

816
00:48:35,000 --> 00:48:38,560
Speaker 1: think the reason why people who are like to be

817
00:48:38,640 --> 00:48:41,319
Speaker 1: awful to others on social media do that is because

818
00:48:41,320 --> 00:48:42,960
Speaker 1: they want to harass others. And so if they're just

819
00:48:43,200 --> 00:48:46,239
Speaker 1: kind of insular, it will just be it'll just be

820
00:48:46,320 --> 00:48:50,520
Speaker 1: a place for them to plan like mass uh, movements

821
00:48:50,560 --> 00:48:57,560
Speaker 1: of mass violence and be easily observed by law enforcement

822
00:48:57,600 --> 00:49:02,239
Speaker 1: officials because they because it's a shitty website, you know security. Oh,

823
00:49:02,360 --> 00:49:05,200
Speaker 1: so they plan their crimes in the same park every time.

824
00:49:06,200 --> 00:49:07,960
Speaker 1: That's how we caught them. They go to the same

825
00:49:07,960 --> 00:49:11,440
Speaker 1: park and they talk out loud about their activities and

826
00:49:11,480 --> 00:49:13,839
Speaker 1: we just we just kind of walk in and then

827
00:49:13,840 --> 00:49:17,000
Speaker 1: we're like, all right, it's really easy. They don't they

828
00:49:17,040 --> 00:49:18,960
Speaker 1: still haven't figured it out, but you know, it is

829
00:49:18,960 --> 00:49:23,640
Speaker 1: what it is. And actually things like this Parlor story,

830
00:49:23,920 --> 00:49:28,120
Speaker 1: we we can hear you cover them on your podcast, right,

831
00:49:28,800 --> 00:49:30,560
Speaker 1: that's right, you can find me at there are No

832
00:49:30,640 --> 00:49:34,200
Speaker 1: Girls on the Internet on this very podcast where we

833
00:49:34,239 --> 00:49:37,120
Speaker 1: talk about really all the ways that marginalized voices shape

834
00:49:37,160 --> 00:49:40,799
Speaker 1: the Internet, particularly platforms like Parlor. So please check it out.

835
00:49:41,320 --> 00:49:44,239
Speaker 1: All right, let's take a quick break. I mean, we

836
00:49:44,239 --> 00:49:47,080
Speaker 1: we talked about the low sperm count. Just keep it up.

837
00:49:47,120 --> 00:49:49,160
Speaker 1: Let's keep an eye on that, guys. We don't want

838
00:49:49,680 --> 00:49:55,600
Speaker 1: the median sperm count to drop to zero. I'm also

839
00:49:56,160 --> 00:50:00,239
Speaker 1: still trying to figure out, like how how worried to

840
00:50:00,280 --> 00:50:04,120
Speaker 1: be about this, because it seems like vague. Some of

841
00:50:04,160 --> 00:50:08,000
Speaker 1: the stuff that's driving down reproductive rates is you know,

842
00:50:08,120 --> 00:50:11,120
Speaker 1: just like people having access to birth control and like

843
00:50:11,280 --> 00:50:14,839
Speaker 1: very healthy things, but then there is like things like

844
00:50:15,520 --> 00:50:20,560
Speaker 1: a higher level of miscarriages and reproductive health problems rising.

845
00:50:21,200 --> 00:50:24,560
Speaker 1: Who knows, Like they don't seem to think that it's

846
00:50:24,640 --> 00:50:27,799
Speaker 1: because people are having better access and like there's more

847
00:50:27,880 --> 00:50:32,239
Speaker 1: reporting because they have better access to reproductive care. But

848
00:50:32,560 --> 00:50:35,799
Speaker 1: the theory, and it's at least if there's some chance

849
00:50:35,880 --> 00:50:38,480
Speaker 1: that it's true, is very scary. The theory is that

850
00:50:38,520 --> 00:50:42,239
Speaker 1: they're chemicals and are plastics and man made materials that

851
00:50:42,280 --> 00:50:46,279
Speaker 1: are causing this drop in sperm count. And I don't know,

852
00:50:46,320 --> 00:50:50,360
Speaker 1: it feels like another one of those capitalism um eco

853
00:50:50,440 --> 00:50:55,040
Speaker 1: disasters where like sort of like the disappearance of the bees,

854
00:50:55,080 --> 00:50:58,719
Speaker 1: where an important but like very fragile link in the

855
00:50:58,800 --> 00:51:02,080
Speaker 1: chain that allows us to vibe is threatened by something

856
00:51:02,120 --> 00:51:04,880
Speaker 1: we've been doing without realizing it for years. We know,

857
00:51:04,920 --> 00:51:08,680
Speaker 1: why do we know? That's what they say. It's like

858
00:51:08,760 --> 00:51:12,640
Speaker 1: some uh their best theory is there's like some something

859
00:51:12,760 --> 00:51:16,880
Speaker 1: in plastics that is causing uh, it's causing it. But

860
00:51:16,960 --> 00:51:19,839
Speaker 1: they also said it could be uh and not going

861
00:51:19,880 --> 00:51:25,240
Speaker 1: to be very popular. Could be a diet obesity. Uh

862
00:51:25,600 --> 00:51:29,120
Speaker 1: smoking which is weird because people used to smoke away

863
00:51:29,200 --> 00:51:33,480
Speaker 1: more and marijuana smoking. Oh yeah, I know that one

864
00:51:33,520 --> 00:51:36,680
Speaker 1: for sure that can can do it. Yeah, you know,

865
00:51:37,280 --> 00:51:41,319
Speaker 1: well yeah, I mean whatever. Maybe well we get to

866
00:51:41,320 --> 00:51:43,640
Speaker 1: see Children of Men. Yeah, I was just gonna say

867
00:51:43,680 --> 00:51:46,600
Speaker 1: it's the same plot. No, yeah, it's Children of Men

868
00:51:46,880 --> 00:51:54,120
Speaker 1: meets How High or uh that long opening scene, like

869
00:51:54,200 --> 00:51:58,120
Speaker 1: if we're matching them, they're like they're leaving a dispensary.

870
00:51:58,239 --> 00:51:59,920
Speaker 1: It's like a super long cut and like all right,

871
00:52:00,000 --> 00:52:01,400
Speaker 1: see you later. And then you go to like a

872
00:52:01,440 --> 00:52:03,600
Speaker 1: trash can down the street to like roll your blunt

873
00:52:03,600 --> 00:52:05,279
Speaker 1: and then the ship explodes behind you. I don't know.

874
00:52:05,440 --> 00:52:09,400
Speaker 1: I love that opening scene though, great visuals. Yeah, that

875
00:52:09,520 --> 00:52:13,400
Speaker 1: scene in the car. Yeah, that long shot where the

876
00:52:13,400 --> 00:52:15,759
Speaker 1: people come out of the Yes, that is that is.

877
00:52:15,800 --> 00:52:17,480
Speaker 1: I actually watched how Too of how they did it.

878
00:52:17,520 --> 00:52:22,719
Speaker 1: They have a car that's split in half, so yeah, masterful. Yeah,

879
00:52:22,800 --> 00:52:26,920
Speaker 1: what they like because like how it shot is that

880
00:52:27,000 --> 00:52:29,480
Speaker 1: the camera not to get all movie wonky, but the

881
00:52:29,520 --> 00:52:32,399
Speaker 1: camera like moves around the car and you're like, oh wow,

882
00:52:32,440 --> 00:52:35,640
Speaker 1: how how does that work? And they had this model

883
00:52:35,719 --> 00:52:38,000
Speaker 1: car that is split in half so that the camera

884
00:52:38,040 --> 00:52:40,160
Speaker 1: can get all around it. Go back and watch it

885
00:52:40,160 --> 00:52:41,719
Speaker 1: and you'll see what I'm talking about. But it is

886
00:52:41,760 --> 00:52:45,280
Speaker 1: such a it's a masterful scene. That's always so interesting

887
00:52:45,320 --> 00:52:48,520
Speaker 1: when the special effect is like you're like, look at

888
00:52:48,560 --> 00:52:51,080
Speaker 1: those computers. Man, that's pretty cool. And it's like, no,

889
00:52:51,200 --> 00:52:56,040
Speaker 1: we cut a car in half for in Terminator two,

890
00:52:56,120 --> 00:52:59,279
Speaker 1: like all the scenes with Linda Hamilton's uh and the

891
00:52:59,480 --> 00:53:03,400
Speaker 1: t one Housan like pretending to be Linda Hamilton's that's

892
00:53:03,719 --> 00:53:07,320
Speaker 1: a that's Linda Hamilton's identical twin. They cast a woman

893
00:53:07,440 --> 00:53:10,239
Speaker 1: who has an identical twin for like they were able

894
00:53:10,280 --> 00:53:12,279
Speaker 1: to do that scene because she had an identical twin.

895
00:53:12,800 --> 00:53:16,799
Speaker 1: That's how they did that special effect. It's wild. All right,

896
00:53:17,520 --> 00:53:29,920
Speaker 1: let's take a quick break. We'll be right back, and

897
00:53:30,000 --> 00:53:34,400
Speaker 1: we're back, and all right, we've been teasing it all episode.

898
00:53:34,920 --> 00:53:37,400
Speaker 1: There is a certain TV show that I have not

899
00:53:37,480 --> 00:53:42,000
Speaker 1: mentioned yet that is very popular, Criminal Minds. But Miles,

900
00:53:42,000 --> 00:53:44,880
Speaker 1: why don't you reveal what it is? All right? It

901
00:53:45,000 --> 00:53:51,040
Speaker 1: turns out that the hit shows drum roll please please,

902
00:53:51,360 --> 00:53:54,960
Speaker 1: after these Nielsen numbers came out from the end of January.

903
00:53:55,640 --> 00:53:59,840
Speaker 1: And I'm look, I know that from watching like We

904
00:54:00,120 --> 00:54:02,120
Speaker 1: TV or my other trash shows. I would see the

905
00:54:02,120 --> 00:54:04,239
Speaker 1: as like Criminal Minds is here, blah blah blah, and

906
00:54:04,280 --> 00:54:07,520
Speaker 1: I know people watch it. But Criminal Minds drew the

907
00:54:07,640 --> 00:54:11,759
Speaker 1: most viewing time on Netflix with nine wait, yes, let

908
00:54:11,840 --> 00:54:15,080
Speaker 1: me get this right, nine hundred eighty four million minutes

909
00:54:15,320 --> 00:54:18,600
Speaker 1: of viewing time. That beat Bridgerton, which is at nine

910
00:54:18,680 --> 00:54:22,480
Speaker 1: hundred thirty six. Okay, now that came out that month, right,

911
00:54:22,680 --> 00:54:25,319
Speaker 1: that was the month bridge Oftin came out. I believe so.

912
00:54:25,640 --> 00:54:30,000
Speaker 1: And Criminal Minds hasn't like dropped a new episode like no,

913
00:54:30,200 --> 00:54:32,839
Speaker 1: I mean this shows from it started in two thousand five.

914
00:54:33,080 --> 00:54:37,040
Speaker 1: So essentially, okay, nine eight four million minutes is like

915
00:54:37,080 --> 00:54:41,120
Speaker 1: the equivalent of seventy four thousand people binging the entire

916
00:54:41,320 --> 00:54:45,919
Speaker 1: three hundred plus series in that time. More a ton

917
00:54:45,960 --> 00:54:48,520
Speaker 1: of people just getting it in with you know, shamar more.

918
00:54:49,640 --> 00:54:53,000
Speaker 1: But yeah, I mean, I saw Shamar Moore doing the

919
00:54:53,040 --> 00:54:55,440
Speaker 1: crip walk. I should have smeared off his lip gloss,

920
00:54:56,000 --> 00:54:59,799
Speaker 1: as DJ quick One said. But the whole like that

921
00:55:00,120 --> 00:55:03,200
Speaker 1: is just wild to me, that this that we still

922
00:55:03,320 --> 00:55:07,200
Speaker 1: are like this true crime thing is like it's always

923
00:55:07,239 --> 00:55:09,200
Speaker 1: front of mind, like this thing of like watch the

924
00:55:09,239 --> 00:55:12,319
Speaker 1: bad bad guy get caught. That's more than will the

925
00:55:12,360 --> 00:55:17,200
Speaker 1: guy uh shoot up the club and finally impregnate the show.

926
00:55:17,760 --> 00:55:21,520
Speaker 1: It's really uh okay, but the but don't worry, the

927
00:55:21,560 --> 00:55:23,080
Speaker 1: office is still the goat when it comes to all

928
00:55:23,160 --> 00:55:27,520
Speaker 1: time minutes streamed UM. But it's weird, like maybe this

929
00:55:27,600 --> 00:55:30,360
Speaker 1: is some dark horse because it's just growing and growing

930
00:55:30,360 --> 00:55:32,839
Speaker 1: and growing. But the one thing is Netflix points out

931
00:55:32,920 --> 00:55:36,719
Speaker 1: Nielsen's don't cover mobile streams. It's usually on TVs or

932
00:55:36,800 --> 00:55:40,520
Speaker 1: set top TVs that are UM that are like factoring

933
00:55:40,520 --> 00:55:42,880
Speaker 1: into those ratings. That makes sense because I feel like

934
00:55:42,960 --> 00:55:46,920
Speaker 1: this is a I mean, this feels like a CBS

935
00:55:46,960 --> 00:55:49,440
Speaker 1: show right like even if it's not like it's the

936
00:55:49,520 --> 00:55:53,040
Speaker 1: sort of thing that would skew towards like my parents

937
00:55:53,080 --> 00:55:57,680
Speaker 1: will be really into criminal minds and that that feels

938
00:55:57,920 --> 00:56:00,759
Speaker 1: like it might like if you took in streaming, like

939
00:56:00,800 --> 00:56:03,720
Speaker 1: there would be some other show that kids are watching.

940
00:56:04,000 --> 00:56:07,799
Speaker 1: Probably The Office would just be even bigger than we realized. Yeah,

941
00:56:07,800 --> 00:56:10,239
Speaker 1: I'm curious to see what the what the differences in

942
00:56:10,280 --> 00:56:12,680
Speaker 1: those sets of numbers, Like if you said this is

943
00:56:12,719 --> 00:56:15,319
Speaker 1: the this is the streaming ecosystem versus the set top

944
00:56:15,360 --> 00:56:18,680
Speaker 1: TV ecosystem of Netflix, I wonder if it's like super different.

945
00:56:18,760 --> 00:56:21,760
Speaker 1: But I also imagine a lot of people will also

946
00:56:22,120 --> 00:56:24,480
Speaker 1: watch off their mobile and then cast to their TV,

947
00:56:25,600 --> 00:56:29,400
Speaker 1: so it's did that count? I don't know. That's why

948
00:56:29,440 --> 00:56:31,640
Speaker 1: I'm like, I'm like, are people who are actually figuring

949
00:56:31,640 --> 00:56:34,400
Speaker 1: out these ratings like versed enough in the ways that

950
00:56:34,440 --> 00:56:36,759
Speaker 1: we get down with consuming things like why just look

951
00:56:36,800 --> 00:56:39,879
Speaker 1: at TV? Like I'd imagine a lot of this. There's

952
00:56:39,880 --> 00:56:41,839
Speaker 1: a way to get this other data as well. Yeah,

953
00:56:42,000 --> 00:56:44,280
Speaker 1: Neilsen just announced that they're going to start doing movie

954
00:56:44,840 --> 00:56:49,520
Speaker 1: uh streaming data as well, because that's now the only

955
00:56:49,520 --> 00:56:51,960
Speaker 1: way to figure out if people watch the movie is

956
00:56:52,520 --> 00:56:55,279
Speaker 1: through streaming. So I would be so curious to see

957
00:56:55,280 --> 00:56:57,680
Speaker 1: those you know, I know that we were going to

958
00:56:57,760 --> 00:57:01,080
Speaker 1: talk about I care a lot one of those movies

959
00:57:01,120 --> 00:57:03,240
Speaker 1: where I was like, oh, it's number one on Netflix.

960
00:57:03,320 --> 00:57:05,360
Speaker 1: I guess everyone's watching it and you know, it's like

961
00:57:05,400 --> 00:57:08,040
Speaker 1: I would be very curious to know what people, particularly

962
00:57:08,080 --> 00:57:10,560
Speaker 1: in quarantine, like what movies are people just like, Oh, well,

963
00:57:10,880 --> 00:57:13,000
Speaker 1: I guess we're all going to watch this together. Yeah.

964
00:57:13,000 --> 00:57:14,560
Speaker 1: So I wanted to talk about I Care a Lot

965
00:57:14,600 --> 00:57:17,919
Speaker 1: because that's like something like Criminal Minds that has three

966
00:57:18,360 --> 00:57:22,680
Speaker 1: hours of episodes that people can stream, like has a

967
00:57:22,760 --> 00:57:27,200
Speaker 1: huge advantage because, uh, like the data that they used

968
00:57:27,240 --> 00:57:30,080
Speaker 1: to determine like how hot something is is the number

969
00:57:30,080 --> 00:57:32,560
Speaker 1: of minutes. And so the fact that I Care a

970
00:57:32,560 --> 00:57:35,720
Speaker 1: Lot was number one on Netflix, Like, movies don't usually

971
00:57:35,840 --> 00:57:39,400
Speaker 1: last that long at the number one spot. Is it

972
00:57:39,480 --> 00:57:41,800
Speaker 1: just me that thinks that's the worst title for a

973
00:57:41,800 --> 00:57:47,880
Speaker 1: movie that they've ever heard? Yes, I watched remember it's

974
00:57:47,880 --> 00:57:50,240
Speaker 1: impossible to remember. And when you're trying to get somebody

975
00:57:50,320 --> 00:57:52,120
Speaker 1: else to watch it with, you like, oh, I want

976
00:57:52,120 --> 00:57:54,720
Speaker 1: to watch this movie. What's it called? I Care a Lot?

977
00:57:55,280 --> 00:57:58,480
Speaker 1: It's so weird weird exchange. Yeah, So, I mean a

978
00:57:58,680 --> 00:58:02,840
Speaker 1: movie has like one tenth to one of the minutes

979
00:58:02,840 --> 00:58:06,360
Speaker 1: available to stream. So it's just, you know, people are

980
00:58:06,520 --> 00:58:08,720
Speaker 1: less likely to watch a movie ten times than they

981
00:58:08,720 --> 00:58:11,240
Speaker 1: are to watch all ten episodes of Bridge or Tin

982
00:58:11,360 --> 00:58:14,360
Speaker 1: or whatever. But I also feel like it's a solid

983
00:58:14,440 --> 00:58:16,680
Speaker 1: like con Artist heist caper. I don't want to like

984
00:58:16,760 --> 00:58:20,720
Speaker 1: Overstate like how profound I care a lot is as

985
00:58:20,760 --> 00:58:24,560
Speaker 1: a movie, but I I also feel like it ties

986
00:58:24,600 --> 00:58:28,400
Speaker 1: into like what I was talking about last week about

987
00:58:28,400 --> 00:58:32,520
Speaker 1: nomad Land being like a movie about crumbling empire, like

988
00:58:32,560 --> 00:58:35,400
Speaker 1: sort of a post apocalyptic movie that takes place in

989
00:58:35,440 --> 00:58:39,120
Speaker 1: the aftermath of America um where people are just like

990
00:58:39,160 --> 00:58:44,840
Speaker 1: going around with like remnants from like their richer grandparents,

991
00:58:44,960 --> 00:58:47,560
Speaker 1: and you know, like they have the remnants of wealth,

992
00:58:47,640 --> 00:58:52,600
Speaker 1: and they're like working in these robot operated Amazon factories

993
00:58:52,600 --> 00:58:55,680
Speaker 1: and just like trying to scrape together enough to eat

994
00:58:55,840 --> 00:58:58,560
Speaker 1: and like living out of bands and stuff. And in

995
00:58:58,600 --> 00:59:03,640
Speaker 1: this the target it of the like protagonist con Artist

996
00:59:04,080 --> 00:59:07,800
Speaker 1: is old people. She like scams old people out of

997
00:59:08,360 --> 00:59:11,720
Speaker 1: like money that they've made in like previous generations and

998
00:59:11,760 --> 00:59:16,440
Speaker 1: like in America's salad days essentially, and like we're spend

999
00:59:16,440 --> 00:59:19,320
Speaker 1: the movie like rooting for somebody who you know, it's

1000
00:59:19,320 --> 00:59:22,320
Speaker 1: definitely like an anti hero situation, but we spend the

1001
00:59:22,320 --> 00:59:25,360
Speaker 1: movie rooting for her to like get all the money

1002
00:59:25,400 --> 00:59:28,760
Speaker 1: from like just like clean out the safe of America's

1003
00:59:28,880 --> 00:59:33,520
Speaker 1: like past prosperity. I don't know. I feel like the

1004
00:59:33,640 --> 00:59:37,240
Speaker 1: amorality of it, that dynamic of trying to take money

1005
00:59:37,280 --> 00:59:39,800
Speaker 1: from old people before they die. Like all feel like

1006
00:59:39,840 --> 00:59:45,280
Speaker 1: they're probably resonating with current America for the same reason

1007
00:59:45,280 --> 00:59:47,960
Speaker 1: that we're like kind of obsessed with scam. Scam artists

1008
00:59:48,000 --> 00:59:52,280
Speaker 1: are like our knew pirates. They're like modern America. Like

1009
00:59:52,880 --> 00:59:56,200
Speaker 1: I feel like if there's a genre of movies about

1010
00:59:56,240 --> 01:00:00,200
Speaker 1: the end of American capitalism the way Westerns became him

1011
01:00:00,560 --> 01:00:03,720
Speaker 1: like the movie about the end of the American Frontier,

1012
01:00:03,880 --> 01:00:08,320
Speaker 1: I feel like our cowboy Gunslinger will be the con artist.

1013
01:00:10,040 --> 01:00:12,680
Speaker 1: I think, yeah, there's also like something that feels like

1014
01:00:12,720 --> 01:00:15,560
Speaker 1: with con artists, it feels like that's fine because they

1015
01:00:15,600 --> 01:00:18,160
Speaker 1: got it and I don't. So like you're already kind

1016
01:00:18,160 --> 01:00:21,360
Speaker 1: of on board with a like specific scams, not ones

1017
01:00:21,400 --> 01:00:23,680
Speaker 1: that you're just like swindling elderly people they have nothing

1018
01:00:23,680 --> 01:00:26,120
Speaker 1: at all and die destitude, but like when you're like, oh,

1019
01:00:26,160 --> 01:00:29,600
Speaker 1: I get this corporation or this other thing, because it's

1020
01:00:29,640 --> 01:00:31,520
Speaker 1: speaking to this feeling that maybe not a lot of

1021
01:00:31,520 --> 01:00:34,680
Speaker 1: people can articulate that they feel like there's a reason,

1022
01:00:34,920 --> 01:00:37,840
Speaker 1: like why do people have it? And I don't um

1023
01:00:37,880 --> 01:00:41,520
Speaker 1: Without getting into the complexities of our you know, economic

1024
01:00:41,600 --> 01:00:43,960
Speaker 1: system and all that, but like, yeah, it's just a

1025
01:00:43,960 --> 01:00:46,880
Speaker 1: good place to launch off. And man, I hope. I

1026
01:00:46,920 --> 01:00:48,680
Speaker 1: think the other thing is you can see yourself being like,

1027
01:00:48,680 --> 01:00:50,560
Speaker 1: oh yeah, like you could do it too, Like you

1028
01:00:50,600 --> 01:00:53,680
Speaker 1: could fucking turn the tables to Not that it's motivating people,

1029
01:00:53,680 --> 01:00:55,560
Speaker 1: but it's just kind of like feels in this place,

1030
01:00:55,600 --> 01:00:58,720
Speaker 1: like it doesn't feel too far off, uh, and you know,

1031
01:00:58,800 --> 01:01:00,800
Speaker 1: realistic enough to give you a little bit of I

1032
01:01:00,840 --> 01:01:04,760
Speaker 1: guess hope that you can steal from the greedy. Is

1033
01:01:04,840 --> 01:01:07,560
Speaker 1: that where we are to give a little bit of

1034
01:01:07,560 --> 01:01:10,480
Speaker 1: a like a spoiler alert where if you really don't

1035
01:01:10,520 --> 01:01:14,200
Speaker 1: want the ending theme spoiled. I really loved how at

1036
01:01:14,240 --> 01:01:18,680
Speaker 1: the end of the movie the protagonist, I guess, despite

1037
01:01:18,720 --> 01:01:22,760
Speaker 1: being totally amoral, she kind of finds this very particular

1038
01:01:22,880 --> 01:01:25,640
Speaker 1: kind of girl boss success. Actually reminded me of a

1039
01:01:25,720 --> 01:01:29,520
Speaker 1: Cheryl Sandberg, you know, on the cover of Entrepreneur magazine,

1040
01:01:29,560 --> 01:01:32,800
Speaker 1: and nobody is really questioning the immorality of her behavior.

1041
01:01:32,840 --> 01:01:36,320
Speaker 1: They're just like, wow, what a rise? Really? Yeah, like

1042
01:01:36,400 --> 01:01:39,600
Speaker 1: girl bas like wait to wait, a wait to sleigh, Yes,

1043
01:01:39,840 --> 01:01:44,360
Speaker 1: Like they're just completely and that's that ring so true

1044
01:01:44,520 --> 01:01:47,160
Speaker 1: with how we treat people who kind of do have

1045
01:01:47,200 --> 01:01:50,200
Speaker 1: an amoral rise, especially if they're women, a certain kind

1046
01:01:50,200 --> 01:01:54,240
Speaker 1: of white woman. I think yeah, And I mean, even

1047
01:01:54,280 --> 01:01:59,920
Speaker 1: though the title is ineffective, like it does, it gets

1048
01:02:00,280 --> 01:02:04,000
Speaker 1: like I feel like the central grift of capitalism, like

1049
01:02:04,720 --> 01:02:11,160
Speaker 1: disguising just the predatory nature of capitalism behind being like

1050
01:02:11,240 --> 01:02:16,280
Speaker 1: I care a lot, we care, Uh Amazon cares for you.

1051
01:02:16,400 --> 01:02:19,880
Speaker 1: And that's why, like that just that is the central

1052
01:02:20,280 --> 01:02:24,240
Speaker 1: grift that's at the core of the whole thing. And

1053
01:02:24,280 --> 01:02:27,160
Speaker 1: like that's also her central gift. She pretends to be

1054
01:02:27,200 --> 01:02:31,400
Speaker 1: a caretaker, but really she's like emptying their wallets. And

1055
01:02:32,240 --> 01:02:36,280
Speaker 1: you know that's also every every corporation in the aftermath

1056
01:02:36,320 --> 01:02:40,760
Speaker 1: of the pandemic, being like in these trying times, you know,

1057
01:02:40,880 --> 01:02:43,880
Speaker 1: in these trying times, funk around it's and it's on

1058
01:02:43,960 --> 01:02:48,560
Speaker 1: site with your poor ass. Don't up this master card.

1059
01:02:48,600 --> 01:02:53,160
Speaker 1: Hop It's like yes, like I remember those like tweets

1060
01:02:53,200 --> 01:02:55,840
Speaker 1: like here at Arby's we're a family, Like are we

1061
01:02:55,880 --> 01:03:01,760
Speaker 1: really Arbies right? I'm like, I guess diarrhea inducing food

1062
01:03:01,840 --> 01:03:06,800
Speaker 1: makes his family? Then yeah, thanks, aunt? Did you like

1063
01:03:07,000 --> 01:03:11,640
Speaker 1: uh caro lot I it's funny. I watched it with

1064
01:03:11,680 --> 01:03:14,520
Speaker 1: my partner I by the end, I was like, Oh,

1065
01:03:14,560 --> 01:03:18,080
Speaker 1: what a skewering of capitalism. Love it. He had such

1066
01:03:18,120 --> 01:03:21,840
Speaker 1: a visceral negative reaction like I have never seen. He

1067
01:03:22,000 --> 01:03:25,480
Speaker 1: was like, this movie really valorizes greed in a way

1068
01:03:25,520 --> 01:03:29,280
Speaker 1: that is responsible. So I it was. I found it

1069
01:03:29,280 --> 01:03:33,800
Speaker 1: funny how we had such such big different reactions. I

1070
01:03:33,800 --> 01:03:36,040
Speaker 1: think it can be a really polarizing film. I guess.

1071
01:03:36,040 --> 01:03:37,880
Speaker 1: I mean, And I also like, I like a movie

1072
01:03:37,960 --> 01:03:42,000
Speaker 1: that you know, it's a little it's a it's not campy,

1073
01:03:42,040 --> 01:03:45,400
Speaker 1: but like it's a little like, um, I don't know.

1074
01:03:45,440 --> 01:03:47,880
Speaker 1: I don't know how seriously it takes some of what's

1075
01:03:47,920 --> 01:03:50,040
Speaker 1: going on, which I really like in a movie. But

1076
01:03:50,200 --> 01:03:55,800
Speaker 1: I enjoyed it. Yeah, to check it out. Um, alright, Bridget,

1077
01:03:55,880 --> 01:03:58,400
Speaker 1: it's been such a pleasure having you. Where can people

1078
01:03:58,960 --> 01:04:02,160
Speaker 1: find you on? Follow you? Well, please check out my

1079
01:04:02,240 --> 01:04:05,240
Speaker 1: podcast on this very network I Heart Radio, called There

1080
01:04:05,240 --> 01:04:07,240
Speaker 1: Are No Girls on the Internet, where we dived into

1081
01:04:07,280 --> 01:04:09,919
Speaker 1: all the ways that women, people of color, and other

1082
01:04:10,000 --> 01:04:13,920
Speaker 1: marginalized voices shape the Internet. Uh. If you enjoyed talking

1083
01:04:13,920 --> 01:04:16,240
Speaker 1: about Parlor, you will definitely enjoy what we're putting out.

1084
01:04:17,120 --> 01:04:19,760
Speaker 1: So you can also find me on Twitter at Bridget

1085
01:04:19,800 --> 01:04:22,240
Speaker 1: Marie and on Instagram at Bridget Murrie in d C.

1086
01:04:23,600 --> 01:04:25,400
Speaker 1: Uh and is there a tweet or some of the

1087
01:04:25,440 --> 01:04:29,160
Speaker 1: work of social media you've been enjoying? Oh? There is. So.

1088
01:04:29,200 --> 01:04:32,160
Speaker 1: I have this really amazing uh person that I follow

1089
01:04:32,160 --> 01:04:35,000
Speaker 1: on Instagram and also on Twitter. She's a model. Her

1090
01:04:35,080 --> 01:04:39,360
Speaker 1: name is Ken Tremendous and she tweeted getting vaccinated for

1091
01:04:39,440 --> 01:04:42,480
Speaker 1: being fat. Ask not what you can do for fat phobia,

1092
01:04:42,600 --> 01:04:45,280
Speaker 1: but ask what fat phobia can do for you, which

1093
01:04:45,320 --> 01:04:52,040
Speaker 1: I was funny, Miles, where can we find you? And

1094
01:04:52,240 --> 01:04:56,840
Speaker 1: what's tweet You've been enjoying social media? Man? You can

1095
01:04:56,880 --> 01:04:59,440
Speaker 1: find me on Twitter and Instagram at Miles of Gray.

1096
01:04:59,560 --> 01:05:02,720
Speaker 1: Also the their podcast for twenty day Fiancee. We're talking

1097
01:05:02,720 --> 01:05:05,880
Speaker 1: about ninety day uh. So tweets I like their all

1098
01:05:05,920 --> 01:05:10,080
Speaker 1: from Reductress. The first one at Reductress so is this

1099
01:05:10,120 --> 01:05:14,520
Speaker 1: is for people in inter relationship interracial relationships, um, especially

1100
01:05:14,520 --> 01:05:17,280
Speaker 1: for uh you know, women of color and their hair

1101
01:05:17,440 --> 01:05:19,680
Speaker 1: and wearing a bonnet. But this tweet is how to

1102
01:05:19,680 --> 01:05:21,840
Speaker 1: explain what a bonnet is to your white partner in

1103
01:05:21,880 --> 01:05:28,280
Speaker 1: a condescending way. I love that. Another one from Reductress

1104
01:05:28,360 --> 01:05:30,520
Speaker 1: how to seem present on Zoom even though you're looking

1105
01:05:30,520 --> 01:05:33,080
Speaker 1: at the latest photo shoot of Sue Bird and Magan Rappino.

1106
01:05:34,960 --> 01:05:37,840
Speaker 1: And finally, this is what his great grandmother. Sure has

1107
01:05:37,920 --> 01:05:40,720
Speaker 1: harsh opinions on women with short hair for someone with

1108
01:05:40,800 --> 01:05:45,040
Speaker 1: a literal pixie cut, and it has like an older

1109
01:05:45,080 --> 01:05:48,440
Speaker 1: grandmother with the we know that the short the shorter

1110
01:05:48,760 --> 01:05:54,120
Speaker 1: mom hair rocking it. You can find me on Twitter

1111
01:05:54,440 --> 01:05:58,640
Speaker 1: at Jack Underscore O'Brien and a tweet I've been enjoying

1112
01:05:58,760 --> 01:06:03,840
Speaker 1: from Sore and Booie at Soaring lq D tweeted no

1113
01:06:03,960 --> 01:06:06,240
Speaker 1: idea why this was sitting in my drafts folder. It

1114
01:06:06,280 --> 01:06:09,120
Speaker 1: was selfish of me not to share. Uh. The ice

1115
01:06:09,200 --> 01:06:13,080
Speaker 1: and water dispensers. How your refrigerator poops and peats. Sometimes

1116
01:06:13,080 --> 01:06:15,520
Speaker 1: it gives water without any ice, but it almost never

1117
01:06:15,560 --> 01:06:20,840
Speaker 1: gives you ice without water. Um that's true man, Uh,

1118
01:06:21,080 --> 01:06:24,800
Speaker 1: ice without water? Try that this weekend and give Try

1119
01:06:24,800 --> 01:06:29,200
Speaker 1: and give your toilet ice without water. See, yeah, it works. Uh.

1120
01:06:29,920 --> 01:06:33,439
Speaker 1: You can find me on Twitter at Jack Underscore Brian.

1121
01:06:33,480 --> 01:06:36,080
Speaker 1: You can find us on Twitter at daily Zeitgeist. We're

1122
01:06:36,120 --> 01:06:38,920
Speaker 1: at the Daily Zeitgeist on Instagram. We have Facebook fan

1123
01:06:39,000 --> 01:06:41,360
Speaker 1: page and a website, Daily zeist dot com, where he

1124
01:06:41,440 --> 01:06:45,440
Speaker 1: post episodes on our foot notes, we link off to

1125
01:06:45,440 --> 01:06:47,840
Speaker 1: the information that we talked about today's episode as well

1126
01:06:47,880 --> 01:06:53,000
Speaker 1: as the song we recommend Miles. What is two days recommendation?

1127
01:06:53,400 --> 01:06:57,240
Speaker 1: This one is track from Khalila k E L E

1128
01:06:57,520 --> 01:07:01,360
Speaker 1: l A and it's a remix um her album from

1129
01:07:01,400 --> 01:07:04,400
Speaker 1: a few years ago, Hallucinogen. But this track is called

1130
01:07:04,440 --> 01:07:08,320
Speaker 1: Rewind but it's the Sporting Life remix and it just

1131
01:07:08,440 --> 01:07:11,080
Speaker 1: got It's just like her vocals are fantastic and the

1132
01:07:11,120 --> 01:07:14,120
Speaker 1: productions like super aggressive, and I just like the juxtaposition

1133
01:07:14,160 --> 01:07:16,120
Speaker 1: of like, you know, beats that will make your next

1134
01:07:16,160 --> 01:07:19,080
Speaker 1: snap into and then also a voice that will also

1135
01:07:19,120 --> 01:07:22,280
Speaker 1: repair your neck repeatedly so you can continue the cycle

1136
01:07:22,320 --> 01:07:24,720
Speaker 1: of neck snapping and repair throughout the track. So this

1137
01:07:24,800 --> 01:07:28,760
Speaker 1: is Rewind but the Sporting Life Remix by Khalila. It's

1138
01:07:28,760 --> 01:07:35,440
Speaker 1: a recommendation with the juxtaposition that is gonna do it

1139
01:07:35,480 --> 01:07:38,200
Speaker 1: for today. The Daily Zyka is a production by Heart Radio.

1140
01:07:38,280 --> 01:07:41,120
Speaker 1: For more podcast from my heart Radio, visit the heart

1141
01:07:41,200 --> 01:07:43,360
Speaker 1: Radio app, Apple podcast, or wherever you listen to your

1142
01:07:43,360 --> 01:07:46,920
Speaker 1: favorite shows. We are back this afternoon to tell you

1143
01:07:46,960 --> 01:07:50,360
Speaker 1: what's trending and we'll talk to you all then By