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Speaker 1: Oh, hello the Internet, and welcome to Season one, forty three,

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Speaker 1: Episode one. I love you. Anybody use a pager? Okay,

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Speaker 1: just me? I'm old of this show. The Daily Zeitgeist

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Speaker 1: production of I Heart Radio. This is the podcast where

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Speaker 1: we take a deep dive into America's dark, fucked up

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Speaker 1: shared consciousness and say, officially, off the top, fuck the

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Speaker 1: Koch Brothers, fuck Fox News and Russia, Limbaugh, buck Sexton,

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Speaker 1: Bens Shapiro, jk Rowling. Okay, you guys still in, You're

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Speaker 1: still into this because here we're all about inclusion. Okay,

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Speaker 1: except four people who are racists. And it is It

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Speaker 1: is Monday, July twenty. My name is Myles Gray, a

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Speaker 1: k a arf charrafter. Jk Rowling is a terffter c

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Speaker 1: say women have too menstrate menstraight met me straight mens day,

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Speaker 1: so we call her a jerk jerk jerk jerk jerk. Okay,

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Speaker 1: thank you to Literate Platypus at Literate Platique one for

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Speaker 1: that work by Rihanna. Uh wonderful inspired a ka, I'm

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Speaker 1: very appropriate for the times, and I am joined today

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Speaker 1: because you know, if you hear my voice first, that

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Speaker 1: means something has mono rock. That means that the co

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Speaker 1: pilot is now in the pilot's seat and steering this plane.

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Speaker 1: Jack pulled this parachute, He's out the plane. I said,

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Speaker 1: don't pull, don't open that shoot so close to the door,

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Speaker 1: it will pull you out, just exactly. Anyway, that is

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Speaker 1: a long way of saying that I am thrilled and

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Speaker 1: honored and pleased to inform the listeners, to guests, the

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Speaker 1: general public that I have a wonderful guest co host

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Speaker 1: today by the name of Jamie Loftus deep bleading, my

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Speaker 1: cheeks keeps bleading blood, my teeth bleading, my teekeep bleading blood,

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Speaker 1: my deep leading tee, teeth bleading blood. Oh no, my cameo,

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Speaker 1: that was some who wrote me, because that was that's

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Speaker 1: from official dick Head, who was was roasting me for

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Speaker 1: the fact that my ginger virus was acting up while

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Speaker 1: I was making cameos last week. Guest, Oh, okay, well,

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Speaker 1: sometimes my problem is that just my mouth is bleeding

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Speaker 1: and I don't know it. And then I'm like, well,

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Speaker 1: I already finished the cameo. Yeah, well, look, when you

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Speaker 1: when your brain is using so much blood to power

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Speaker 1: those like next level ideas, you have some sometimes cements ship. Yeah,

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Speaker 1: exactly the rates of gingervius. Wait, hold on, well, if

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Speaker 1: your gums don't bleed when you're recording a cameo, you

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Speaker 1: might not be a genius. Just some light burnage from me,

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Speaker 1: Just something to think about some of you might want

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Speaker 1: to ponder over yonder. Jamie, we have a wonderful guest,

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Speaker 1: probably the first time you have interacted with this guest

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Speaker 1: in podcast form. I have had the pleasure to interact

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Speaker 1: with this guest many times podcast Real Life UH in

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Speaker 1: the in the Nation's capital, you name it. But she

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Speaker 1: is the just brilliant host UH activist, digital activisties in

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Speaker 1: the streets and in the digital ones and streets, and

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Speaker 1: just a fantastic podcaster. Bridget Todd, welcome back, Oh thank

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Speaker 1: you for having me. What a lovely welcome. And Jamie,

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Speaker 1: I have to say you have a beautiful singing voice.

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Speaker 1: Thank you so much. Quarantine mixtape. I've been I've been

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Speaker 1: workshopping it. Do you do warm ups? Do you do

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Speaker 1: like a vocal because I know you to be. You

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Speaker 1: can get into a process much in the same way

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Speaker 1: you got like shredded off of Ironic Jane Fondo workout tapes.

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Speaker 1: Now you I feel I could just be nothing ironic

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Speaker 1: about it. My friend, I am sick of this irony narrative.

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Speaker 1: I wanted to get shredded and she got me there. Period. No. Yeah,

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Speaker 1: when I knew, when I knew I was going to

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Speaker 1: be covering for Jack today, I did. I was on

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Speaker 1: vocal r Rest yesterday. Um, that was only drinking hot

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Speaker 1: honey tea, did apple side of vinegar. And so that

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Speaker 1: is why you got the performance. Oh, you're like Mariah Carey.

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Speaker 1: She have she has to have her hot tea when

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Speaker 1: she performs. It's a fun's a real fun fact about

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Speaker 1: Maria Carrey. She that's like in her writer she must have,

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Speaker 1: isn't there? What was the other thing didn't she need?

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Speaker 1: Like cats are like kittens. There was like one rider

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Speaker 1: that she had that was like, okay, what do we

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Speaker 1: do with these kittens? Now? I think it's kittens really

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Speaker 1: specific lighting um for her mirrors. Yeah, she's a very

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Speaker 1: you know, even Jamie, you and Mariah have this in common.

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Speaker 1: You know, genius takes specific needs. This takes being really

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Speaker 1: frustrating to the people around you. Articles said, yeah, twenty

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Speaker 1: white kittens and we had to be white kittens. Mineral

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Speaker 1: water for her dogs to bathe in. Well, I was

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Speaker 1: not expecting that sentence to go that way. Everyone google

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Speaker 1: pdf for how to build a guillotine. Okay, now let

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Speaker 1: us move on to give our listeners a preview for

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Speaker 1: the topics of the day. Wow, buckle up, everybody. I mean,

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Speaker 1: we're gonna get to know bridget Todd even better. I mean,

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Speaker 1: like you thought we knew everything, but she will and

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Speaker 1: she will unveil things, uh, facets of her personality have

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Speaker 1: yet to see. But then we'll move on to talk

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Speaker 1: about the black employees of Fox News are not happy

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Speaker 1: at the moment um, and it's a very strange story.

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Speaker 1: I've forced from moment thought no black people worked at

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Speaker 1: Fox News because it's so outwardly racist. But of course,

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Speaker 1: like any company, there are people who find themselves in

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Speaker 1: a position where speaking out typically can lead to a

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Speaker 1: lot of bad results for you. So now people are

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Speaker 1: starting to find their voices. This is a very interesting

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Speaker 1: read and it's sort of it almost like when some

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Speaker 1: of these anecdotes from this Daily Beast piece almost are like,

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Speaker 1: that's almost exactly how I working at Fox News as

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Speaker 1: a person of color would be. Like, Uh, then we're

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Speaker 1: gonna talk about you know, the president, there's a lot,

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Speaker 1: a lot, a lot is not going right apparently based

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Speaker 1: on something called a poll where they ask people their

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Speaker 1: opinions on certain things, he is getting a slam when

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Speaker 1: it comes to his pandemic response, and rightly so because um,

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Speaker 1: needless Uh, there's there's just been NonStop preventable loss of life. Uh.

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Speaker 1: And we will sort of look into some strategies on

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Speaker 1: how the White House is going to hopefully right that ship. Um.

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Speaker 1: And then we'll move on to talk about Ruth Bader Ginsburg,

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Speaker 1: just to check in with her, just to make sure

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Speaker 1: everything's okay. If you need more motivation to vote than

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Speaker 1: when I read you this piece, this should get you

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Speaker 1: registered and getting whatever you gotta do, a line up

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Speaker 1: now to vote, And then maybe we'll talk about Burger

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Speaker 1: King's new like weird fart based ad campaign. He's very

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Speaker 1: upset to see that in the dock. That's the story

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Speaker 1: that once I saw it as like I didn't. I

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Speaker 1: didn't want to know I didn't. So we'll look into

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Speaker 1: that and hey, maybe there's some real science in there.

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Speaker 1: Uh maybe not, who knows. But before we do all that,

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Speaker 1: Bridget Todd, Bridget Marie Todd, if I may just use

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Speaker 1: the whole name's reminded me of my dad just then

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Speaker 1: that's how I know, like I'm in real trouble. Bridget

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Speaker 1: Marie to oh you got the full name? Yeah, it's

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Speaker 1: funny because my mom, being Japanese, didn't know that. Wait,

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Speaker 1: like that rhetorical device of calling your child out by

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Speaker 1: their full name, and my dad would just be like, hey,

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Speaker 1: so it was I never got the full name. Also,

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Speaker 1: like I don't have a middle and it's a whole thing.

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Speaker 1: That's we can talk about that later, but first, Bridget Todd,

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Speaker 1: what is something from your search history that's revealing about

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Speaker 1: who you are something from my search her history that

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Speaker 1: is revealing about who I am? Is the question do

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Speaker 1: you ever see Maris on Frasier? I never watched Fraser

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Speaker 1: growing up. I'm doing a deep rewatch now I'm in

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Speaker 1: the middle of a rewatch. And then I thought, wait

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Speaker 1: a minute, you never see Maris? Like where's Maris? You

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Speaker 1: hear about her, you hear a lot of descriptions about

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Speaker 1: her physical characteristics, but you never actually see her. So

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Speaker 1: I I just wanted to know if you maybe the

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Speaker 1: big reveal you see her, you meet her and I

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Speaker 1: guess the answer is no, you never see her. She's

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Speaker 1: never on screen. Who is I'm sorry, I don't know.

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Speaker 1: The first thing about so Maris is um Niles who

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Speaker 1: plays Frasier Dr Fraser. It is his ex wife or

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Speaker 1: like on the when the show begins, they're married and

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Speaker 1: they go they get separated on the show, so it's

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Speaker 1: it's his wife soon to be ex wife. Yeah, but

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Speaker 1: like the show, really she's a real like comedic part

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Speaker 1: of the show because like they're always like dogging on her,

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Speaker 1: but you never see her. There's definitely some like sexist

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Speaker 1: troops in there. I used to think it was really

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Speaker 1: funny that I was like, oh, she like Mary's He's

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Speaker 1: so like out of control. She can't be you know.

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Speaker 1: And and I think that also it's the joke that

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Speaker 1: like Niles is kind of like a beta guy and

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Speaker 1: he's afraid of her. But she's never seen. She's just

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Speaker 1: a looming present. That is a joke on a lot

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Speaker 1: of TV shows weird like unseen. Yeah, like Bob Sacamano

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Speaker 1: and in Seinfeld, you know, always references we've never seen

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Speaker 1: Bob Sacramento. Yeah, there was there was a girl in

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Speaker 1: the grassie that you never saw. Her name was Heather Sinclair.

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Speaker 1: She was just an off screen Canadian who knows was

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Speaker 1: that another woman? That the characters are just like attack

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Speaker 1: and she wouldn't be able to defend herself, so we're

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Speaker 1: left with the other characters like idea. Yeah, it's such

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Speaker 1: a bizarre true. Yeah, I just want to see if

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Speaker 1: there's like characters from TV you never see. Okay, so

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Speaker 1: there's this is Yeah, you're true, I see my the

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Speaker 1: things I can only remember are very early. But I

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Speaker 1: guess Juanita Beasley from The Andy Difference Show, Uh whatever

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Speaker 1: that is, Mrs Colombo, Mrs Colombo Okay. Oh another one

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Speaker 1: is um on Gilmore Girls. You never see Lane's dad,

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Speaker 1: but they refer to Mr Kim sometimes, but you never

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Speaker 1: actually see Mr Kim, which I feel like people assume

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Speaker 1: that he is dead but he is not the president.

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Speaker 1: Oh ship. I watched religiously and this is just now

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Speaker 1: occurring to me, I think because we're so used to it,

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Speaker 1: you know, like whether it's like things from the Mary

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Speaker 1: Tyler Moore Show, like it's just been this like ever

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Speaker 1: present thing of yeah that now we never actually take

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Speaker 1: a second to be like that's right. We never did

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Speaker 1: see Bob saca Man or Heather Sinclair or Mr George

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Speaker 1: Steinbrenner on Steinfeld. They never got to speak for themselves.

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Speaker 1: Ugly naked guy on Friends. I mean, the list goes

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Speaker 1: on whatever that is. But based on the screen grab,

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Speaker 1: looks like a bunch of people are groaning in front

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Speaker 1: of their window. Um, so that's one topic down. Let's

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Speaker 1: move on to another thing. Let's dive deeper. Let's take

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Speaker 1: another layer off this onion. That is Bridget Marie todd Um.

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Speaker 1: What is something that you believe is underrated? Something that

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Speaker 1: I believe is underrated is poorshow Williams from Real House

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Speaker 1: in Atlanta. Uh, you know, people think of her as

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Speaker 1: just a frivolous woman on a reality TV show. But

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Speaker 1: just this week she was arrested protesting demanding that they

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Speaker 1: arrest the killers of Brianna Taylor, and she she got

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Speaker 1: she caught a felony charge. Her and eighties seven other

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Speaker 1: protesters were arrested in Kentucky and she was held with

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Speaker 1: outbawn and she's now facing five years in jail with

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Speaker 1: a felony charge for the simple act of demanding that

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Speaker 1: the killers who killed the police who killed Brianna Taylor

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Speaker 1: should base consequences. So I think that she has come

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Speaker 1: a long way since she thought the underground railroad was

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Speaker 1: a physical train on the show. Um yeah, I'm gonna

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Speaker 1: say she is. She is underrated, I mean especially here

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Speaker 1: because I remember. Look, I I'm very I'm I'm well aware.

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Speaker 1: I may not know about Fraser, but I damn sure

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Speaker 1: know about the first five seasons of Real Housewives in

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Speaker 1: Atlanta up to maybe the season where Who's the Bit

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Speaker 1: That season I think it was probably one of the

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Speaker 1: last ones I fully watched. Um, but I remember, like

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Speaker 1: when they presented her. You know, her grandfather, Jose Williams,

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Speaker 1: is like a very very significant figure in the civil

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Speaker 1: rights movement. He was like mlk's right hand, like really

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Speaker 1: responsible for organizing a lot of non violent protests. So yeah,

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Speaker 1: like I remember early and be like, how is this.

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Speaker 1: She's coming from this historic family and she's like it's

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Speaker 1: a railroad. Um, so yeah, growth, it's all about growth

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Speaker 1: and black ass. Maris to Cordel Stewart, Oh my god.

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Speaker 1: Like Cardell was like, I was so happy when they

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Speaker 1: got I mean, maybe I shouldn't say this was happy

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Speaker 1: when they got divorced. I was happy to not have

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Speaker 1: to see him on the show. And I hated how

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Speaker 1: on the show he was always getting involved in the

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Speaker 1: drama that the Ladies had. It's like, the whole point

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Speaker 1: of the show is that you want to watch the

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Speaker 1: Ladies have drama. Nobody gives a ship with your opinion,

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Speaker 1: is like, he would often be trying to get like

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Speaker 1: trying to get Porsha to like not be involved in

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Speaker 1: the Ladies drama on the show, and I would be like, well,

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Speaker 1: that's kind of the point of watching the show. Nobody

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Speaker 1: cares about you, Cordell. I mean, okay, the people that

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Speaker 1: would care about Cordell Stewart would be a very specific

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Speaker 1: type of person, and they were big fans of the

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Speaker 1: University of Colorado Buffalo's football team, in which he threw

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Speaker 1: a Hail Mary pass to beat Michigan. Uh And in

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Speaker 1: that sense, yes, but they come from the Church of Slash.

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Speaker 1: But I remember initially when I saw him, I was like, dude,

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Speaker 1: Cordell Steward is so washed. I don't even care about

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Speaker 1: him in this show. Now get anyway, we digress, and

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Speaker 1: we've said too many names that Jamie has never heard of.

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Speaker 1: I say, I'm like, I want to participate. I was like,

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Speaker 1: the concept do you do you watch? Have you seen

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Speaker 1: any Housewives shows? No? I thought that I wouldn't in quarantine,

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Speaker 1: but it hasn't happened. Maybe maybe you know we'll be

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Speaker 1: here forever. So oh so it got time. So I mean,

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Speaker 1: I'm just gonna pivot because you know what happens when

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Speaker 1: I host a show. It's just a stream of consciousness

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Speaker 1: conversation show. Were there shows that you thought you would

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Speaker 1: be watching because of quarantine? Like, I would not deign

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Speaker 1: to put cast my gaze upon this show, but unless

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Speaker 1: it's in quarantine maybe And you thought a housewife show.

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Speaker 1: I thought a house I thought I would get really,

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Speaker 1: really really deep into reality shows i'd never seen that

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Speaker 1: had a million seasons. But it just didn't end up.

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Speaker 1: I didn't end up especially early. I didn't end up

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Speaker 1: binge watching stuff as much as I was expecting I would.

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Speaker 1: But let's be real here. But let's be real. We've

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Speaker 1: also been watching the same trash reality shows you found

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Speaker 1: out were you not watching? Selling Sunset on Netflix was good?

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Speaker 1: So full? Oh anyways again pdf guillotine uh schematic When

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Speaker 1: whenever I watched that show, I'm like, what is going on?

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Speaker 1: These people are scoffing at a forty million dollar home

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Speaker 1: like a ship. I'm like, this is so violent, um,

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Speaker 1: but like it really is. But like it's like it

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Speaker 1: was like the closest thing to that movie Elysium, where

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Speaker 1: like these motherfucker's live in another dimension where humans I know. Really,

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Speaker 1: I'm like, yeah, come through to the valley across some

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Speaker 1: for you. You know, I have to say, but who

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Speaker 1: have you live in? Live in California. I grew up

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Speaker 1: on the East Coast, so I sort of grew up

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Speaker 1: like fantasizing about California. This is what I thought California

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Speaker 1: was like when I was growing up. I was like, Oh,

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Speaker 1: this is how everybody in California lives. Like I gotta

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Speaker 1: get out there. Everybody just like lives like this. This

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Speaker 1: is what I thought for a very long time about California. Yeah,

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Speaker 1: the California that most people see is the one that's

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Speaker 1: on the other side of the hill and then the valley.

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Speaker 1: Like growing up in the valley, whenever I saw that TVA,

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Speaker 1: like this's the west side that's Beverly Hills, like talk

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Speaker 1: about more park and you know, like like another intersection.

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Speaker 1: I know. Anyway, so that's just what that is? Bridget

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Speaker 1: what about you? Were there any shows that you thought

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Speaker 1: you'd watch in Quarantine or are watching because of Quarantine. Yeah,

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Speaker 1: I've been like nothing is too trashy for me, like

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Speaker 1: the the trashy or the better in the Quarantine, right,

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Speaker 1: Like I it's funny I thought that in the Quarantine

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Speaker 1: I was going to have time for a lot of

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Speaker 1: the prestige dramas that I never really got into. Um

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Speaker 1: and so, like I would love to say that I've

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Speaker 1: been binge watching like that HBO series Rome or something

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Speaker 1: like something like Very High Row. No, it's like it's

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Speaker 1: like it's like, um love is Blind. Also, a couple

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Speaker 1: of weeks ago, um MTV played the first season of

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Speaker 1: Real World, and I have dv rds that ship that, like,

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Speaker 1: go back and watch it. It's so good. Another forgotten

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Speaker 1: reality show that they replayed an I dvrd and watched

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Speaker 1: in one sitting is Gallery Girls, which is on Bravo.

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Speaker 1: Briefly is so like it is it but the Gallery

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Speaker 1: Girls it's about It's about the cuts world of the

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Speaker 1: cutthroat New York art world, and and even only lasted

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Speaker 1: one season, but truly it is like a masterpiece, like

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Speaker 1: if you ever get a chance to watch it, it

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Speaker 1: is like they have They really do a good job

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Speaker 1: of illustrating this sort of like Manhattan versus Brooklyn, and

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Speaker 1: you know, hipsters versus like, you know, people who live

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Speaker 1: in Murray Hill. It is all this ship. When I

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Speaker 1: was first watching it, had never lived in New York yet,

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Speaker 1: Like I didn't know what any of this stuff was.

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Speaker 1: But at the time watching as a young person, I

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Speaker 1: was like, is this what the New York art world

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Speaker 1: is like? So? Um, my television habits have definitely just

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Speaker 1: gotten deeper and deeper and deeper into trashy reality TV.

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Speaker 1: This makes you want to come back to be like,

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Speaker 1: you know, watch Princesses Long Island again. Oh yes, I

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Speaker 1: feel like we had a golden age of reality TV

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Speaker 1: where it just was like so like we were still

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Speaker 1: figuring out what it was and so it just shows

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Speaker 1: like truly unhinged, like if you go back and watch

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Speaker 1: that show Rich Girls with Tommy hill Bigger's daughter and

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Speaker 1: oh yes, some of it wild like the Wild West

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Speaker 1: of reality TV. I did rewatch a This was like

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Speaker 1: months ago at this point, but I rewatched a reality

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Speaker 1: show like from early reality shows where they were still

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Speaker 1: really expensive and they would go to a different country

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Speaker 1: in every episode that was hosted by Anderson Cooper called

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Speaker 1: The Mole. Did you did watch that? That was fucking wow?

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Speaker 1: What was a competition show? Right? Yeah? It was like

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Speaker 1: there was like something like there is a mole in

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Speaker 1: the cast and you have to figure out strings having

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Speaker 1: their strings pulled by Anderson Cooper. And this was like

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Speaker 1: my favorite part of a I watched it originally in

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Speaker 1: college because I read on like Anderson Cooper's Wikipedia page

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Speaker 1: that after he like hosted this show for two seasons,

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Speaker 1: then nine eleven happened and he's like, I can't do

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Speaker 1: the mall anymore. I have to be a journalist, and

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Speaker 1: so he abandoned them all all and pivoted. But it

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Speaker 1: blasted from the past. It's a goofy reality show. Anderson

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Speaker 1: Cooper is in a leather jacket the whole time, standing

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Speaker 1: in various countries being like who is the Mole? It's great.

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Speaker 1: I always loved reality shows where they traveled from place

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Speaker 1: to place, like or like they went abroad like um

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Speaker 1: rob rual semester at sea like stuff like that. I

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Speaker 1: like lived for that. What I would do for a

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Speaker 1: semester at see. Um, okay, what do you think is

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Speaker 1: something that is overrated? I am so glad you asked

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Speaker 1: Ellen degenerous. I don't know if you all read the

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Speaker 1: Buzzby piece that just dropped. I have been a long

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Speaker 1: Ellen truther. I have always said we were not being

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Speaker 1: told the full truth about Ellen, and the story is

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Speaker 1: finally here, and I'm so excited. What is this story?

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Speaker 1: Basically just you know, her whole show, the mantra of

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Speaker 1: her show is be kind and her whole kind of

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Speaker 1: etho publicly is like being nice to people, being respectful

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Speaker 1: to people, you know, especially people like George W. Bush,

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Speaker 1: but whatever, And that whole time, people who worked on

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Speaker 1: the show have been sort of whispering about the fact

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Speaker 1: that she's kind of a monster. When I say monster,

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Speaker 1: I mean stuff like you're like staffers if they see

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Speaker 1: her in the hallway, they are not allowed to make

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Speaker 1: eye contact with her or look at her. Stuff like that.

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Speaker 1: And you know, these rumblings have been happening for so long,

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Speaker 1: and then just last night Buzzby dropped the piece that

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Speaker 1: was like, you know, here all the stories. It was

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Speaker 1: the things that the things that she was accused of. Honestly,

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Speaker 1: I always knew something was up, and so for me

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Speaker 1: it feels I feel vindicated because I've always thought like

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Speaker 1: this whole public persona of being really nice and being

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Speaker 1: really kind, I found it to be almost like weaponized, right,

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Speaker 1: like when she was photographed with George W. Bush being like, oh, well,

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Speaker 1: my whole thing is respect for others, and it's like, yeah,

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Speaker 1: you're just using that as a smoke screen to evade

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Speaker 1: questioning about the fact that you're like hanging out with

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Speaker 1: someone that actually made the life of like, let privileged

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Speaker 1: LGBTQ folks really hard. So like what's destroyed the world

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Speaker 1: exactly exactly, and like you can't wipe that away. Was

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Speaker 1: saying like, oh, you're like be kind, be respectful, and

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Speaker 1: in fact trying to do that, It's kind of like, um,

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Speaker 1: it's like gaslighting. It's like no, like you're just using

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Speaker 1: this as a way to avoid having to have a

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Speaker 1: conversation about you know, what it is you're actually doing.

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Speaker 1: So I was like gleefully reading every every piece, every

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Speaker 1: comment about that story we talked about. We talked about

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Speaker 1: that a lot on the show because I think in

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Speaker 1: like l A and just an entertainment in general, it's

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Speaker 1: like it's one of the like just generally accepted pieces

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Speaker 1: of wisdom that has not been documented on an article

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Speaker 1: form yet, like you going like like most you're like,

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Speaker 1: if you know anyone who's been in orbit of that

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Speaker 1: set or production, they only come back with the worst

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Speaker 1: things to say. And then like when you're starting to

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Speaker 1: bubble up, I feel like a lot of people and

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Speaker 1: they were like, yeah, right, oh that's right, Like this

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Speaker 1: is local, local knowledge that hasn't quite got to the

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Speaker 1: you know, the top yet. I feel like every city

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Speaker 1: has stuff like that. I'm really glad that this is

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00:22:02,880 --> 00:22:06,959
Speaker 1: finally being formally like formally reported. Um. I also got

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Speaker 1: so confused and I thought you were saying Ellen was

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Speaker 1: underrated at first, and I was like, wait a second,

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Speaker 1: what did this take? But it never but it's been,

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Speaker 1: but it has been like it's it's interesting to see

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00:22:18,080 --> 00:22:20,800
Speaker 1: how like the it's kind of built up where it

401
00:22:20,880 --> 00:22:23,320
Speaker 1: was like kind of early it was like, okay, the

402
00:22:23,400 --> 00:22:26,080
Speaker 1: Dakota Johnson thing kind of like blew up of like,

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Speaker 1: oh Ellen's really petty and someone called her out on it.

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Speaker 1: Interesting and then there was like that Kevin Porter thread

405
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Speaker 1: I think it was like but it was like there

406
00:22:37,520 --> 00:22:40,040
Speaker 1: were so many like real accounts on that dread that

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Speaker 1: you're like, oh ship, and then now there's a full

408
00:22:42,680 --> 00:22:44,440
Speaker 1: blown news report and this ship has hit the fan

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Speaker 1: and and rightfully so well what I thought? I mean,

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Speaker 1: I remember too when like all the lockdown happened, and

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Speaker 1: like talking to people who work in late night and

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Speaker 1: like TV production, how like a lot of productions either

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Speaker 1: ceased or shifted to some sort of zoom format. Apparently

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Speaker 1: like she like left her entire crew out on like

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Speaker 1: on a like just out to dry where they're like, yeah,

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Speaker 1: I already found another company that does this, so I'm

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Speaker 1: hiring them, Like what are you taught you employ this to?

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Speaker 1: Okay loyalty? Huh? Other shows like Disus and Marrow, they've

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Speaker 1: been able to continue their late night you know, their

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Speaker 1: late night production via zoom. So like, what is happening

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Speaker 1: on Ellen that's not happening on other shows? That's so

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Speaker 1: special that she cannot continue to respond? She did was

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Speaker 1: she went to a leaner production company that specializes in

424
00:23:33,520 --> 00:23:38,159
Speaker 1: zoom stuff, versus getting her entire show to just be

425
00:23:38,240 --> 00:23:40,280
Speaker 1: able to pivot to doing zoom, like it was like

426
00:23:40,359 --> 00:23:43,480
Speaker 1: a very easy thing to do, but completely has no

427
00:23:43,600 --> 00:23:46,320
Speaker 1: consideration for the people you employ and what that means

428
00:23:46,400 --> 00:23:48,680
Speaker 1: for their own livelihoods. I don't know what's changed since then,

429
00:23:48,720 --> 00:23:51,199
Speaker 1: so I'm not trying to, you know, put that out there,

430
00:23:51,240 --> 00:23:52,879
Speaker 1: but I know that that was a thing that was

431
00:23:52,920 --> 00:23:56,960
Speaker 1: going on at the very beginning. Finally, bridget what's a myth?

432
00:23:57,240 --> 00:24:00,600
Speaker 1: What's something people think is true? And you're like, that's false,

433
00:24:00,800 --> 00:24:05,840
Speaker 1: that's that's not's not. I'm gonna keep with my um

434
00:24:06,200 --> 00:24:11,360
Speaker 1: celebrity sort of theme here, And something that people think

435
00:24:11,480 --> 00:24:16,760
Speaker 1: is true is that Monique the comedian is that she's

436
00:24:16,800 --> 00:24:19,720
Speaker 1: like a complainer that she like, you know, it's difficult,

437
00:24:19,760 --> 00:24:22,680
Speaker 1: blah blah blah. But just today she had a major

438
00:24:22,760 --> 00:24:26,080
Speaker 1: win on her gender and racial discrimination lawsuit. So I

439
00:24:26,160 --> 00:24:29,040
Speaker 1: feel like the common idea about the comedian Monique is

440
00:24:29,080 --> 00:24:31,560
Speaker 1: that she, I don't know, folks remember this. This is

441
00:24:31,600 --> 00:24:34,040
Speaker 1: something that like I remember quite well. She spoke out

442
00:24:34,160 --> 00:24:36,800
Speaker 1: when she got a Netflix special basically that like she

443
00:24:36,960 --> 00:24:39,159
Speaker 1: was offered a lot less for her Netflix special and

444
00:24:39,320 --> 00:24:41,200
Speaker 1: she alleged it has to do with race and gender,

445
00:24:41,560 --> 00:24:44,240
Speaker 1: and people were like, actually, she's hard to work with, actually,

446
00:24:44,720 --> 00:24:48,320
Speaker 1: like she's unprofessional. And I guess today a court that

447
00:24:48,640 --> 00:24:51,239
Speaker 1: says otherwise a court agreed that she has that her

448
00:24:51,320 --> 00:24:54,080
Speaker 1: case has merit. So that is a myth that she

449
00:24:54,240 --> 00:24:56,520
Speaker 1: is like just a difficult black woman. Actually it sounds

450
00:24:56,520 --> 00:24:58,679
Speaker 1: like she's got a point. Well, I think that shows you, how,

451
00:24:59,080 --> 00:25:02,880
Speaker 1: you know, entrenched. These stereotypes are that very just reflexively

452
00:25:02,920 --> 00:25:06,240
Speaker 1: accompanied like Netflix or they're you know, surrogates allies, and

453
00:25:06,280 --> 00:25:08,480
Speaker 1: the business can go, well, she's actually difficult to work with,

454
00:25:08,520 --> 00:25:11,600
Speaker 1: and people go, oh, okay, right, angry black woman. Who's

455
00:25:11,640 --> 00:25:14,240
Speaker 1: who's probably making it really difficult for people just they're

456
00:25:14,240 --> 00:25:15,720
Speaker 1: just trying to do their jobs. And if she was

457
00:25:15,840 --> 00:25:19,200
Speaker 1: so angry, maybe we could come to some kind of consensus. Yeah,

458
00:25:19,240 --> 00:25:23,200
Speaker 1: it's just so fucking lazy. So I'm glad that she's Wait,

459
00:25:23,240 --> 00:25:26,240
Speaker 1: so wait that there was a judgment made. I didn't

460
00:25:26,240 --> 00:25:28,080
Speaker 1: I didn't realize there was a movement on her legal

461
00:25:28,160 --> 00:25:29,960
Speaker 1: case or that, or did they try and get it

462
00:25:30,040 --> 00:25:33,920
Speaker 1: dismissed or something. So this was just yesterday. This is

463
00:25:34,000 --> 00:25:37,880
Speaker 1: a Deadline article from twenty hours ago. Netflix loses move

464
00:25:38,000 --> 00:25:41,600
Speaker 1: to axe Monique sex and racial discrimination suit over comedy special.

465
00:25:41,720 --> 00:25:44,480
Speaker 1: So essentially it's not it's it's it's an incremental win

466
00:25:44,600 --> 00:25:47,200
Speaker 1: for her because Netflix was trying to have it thrown

467
00:25:47,240 --> 00:25:49,359
Speaker 1: out and a judge said, no, there's there's there's a

468
00:25:49,400 --> 00:25:51,440
Speaker 1: case here to be heard. Yeah, they just all she

469
00:25:51,520 --> 00:25:53,280
Speaker 1: did was show me what Amy Schumer got paid and

470
00:25:53,320 --> 00:25:55,199
Speaker 1: what she got paid. And I'm like, okay, sums up

471
00:25:55,240 --> 00:25:58,359
Speaker 1: here even there, even if you wanted to, like, the

472
00:25:58,440 --> 00:26:02,000
Speaker 1: comparisons are like really hard, which is something that like

473
00:26:02,440 --> 00:26:05,000
Speaker 1: people getting specials like that should be doing. Is like

474
00:26:05,359 --> 00:26:08,320
Speaker 1: I mean you have like if male comics who are

475
00:26:08,720 --> 00:26:11,440
Speaker 1: and white comics who are getting specials would just be

476
00:26:11,560 --> 00:26:14,080
Speaker 1: more forthcoming about like here's how much I would pay.

477
00:26:14,160 --> 00:26:17,119
Speaker 1: You don't lose anything by doing that, and you're helping.

478
00:26:17,600 --> 00:26:20,720
Speaker 1: Like it's just like how much did fucking Chris d'eliah

479
00:26:20,760 --> 00:26:25,240
Speaker 1: get paid for his piece of ship special? Like almost

480
00:26:25,320 --> 00:26:27,840
Speaker 1: certainly more, but he's a piece of ship And then

481
00:26:27,920 --> 00:26:32,840
Speaker 1: there's no financial transparency in that community. It's just like

482
00:26:33,160 --> 00:26:37,120
Speaker 1: that the stigma around that needs to stop because yeah,

483
00:26:37,160 --> 00:26:38,960
Speaker 1: like yeah, like I feel like in a in a

484
00:26:39,080 --> 00:26:41,480
Speaker 1: corporate zoom call, like your salary should be like in

485
00:26:41,560 --> 00:26:45,200
Speaker 1: your own next to your name. Yeah, it's immediately accessible.

486
00:26:45,320 --> 00:26:48,399
Speaker 1: You're like, interesting, okay, that's your title. Yeah, whenn't I

487
00:26:48,440 --> 00:26:52,000
Speaker 1: thought you were worth that much? And I also think

488
00:26:52,040 --> 00:26:55,800
Speaker 1: that like the idea that you know, if you and

489
00:26:55,920 --> 00:26:57,719
Speaker 1: I and Jamie I would actually be racious here your

490
00:26:57,760 --> 00:27:00,040
Speaker 1: thoughts as a comedian, as someone who was like know

491
00:27:01,160 --> 00:27:04,160
Speaker 1: in this in the industry as well, Like I feel

492
00:27:04,160 --> 00:27:07,399
Speaker 1: like there is a stigma, as you said, around getting

493
00:27:07,720 --> 00:27:10,600
Speaker 1: offered something and then questioning or pushing them back. I

494
00:27:10,680 --> 00:27:13,560
Speaker 1: feel like as marginalized people, as women, as people of color.

495
00:27:13,880 --> 00:27:16,119
Speaker 1: I feel like the the implication is that like, if

496
00:27:16,240 --> 00:27:17,920
Speaker 1: Netflix is gonna offer you a special, you should have

497
00:27:18,000 --> 00:27:20,240
Speaker 1: just taken it and shut up. But we should like

498
00:27:20,760 --> 00:27:23,639
Speaker 1: that doesn't do anything to protect you as a creator,

499
00:27:23,680 --> 00:27:25,680
Speaker 1: and it certainly doesn't do anything for the creators who

500
00:27:25,680 --> 00:27:28,119
Speaker 1: are coming, you know, coming after you, who might not

501
00:27:28,320 --> 00:27:30,040
Speaker 1: have as big of a profile as Monique. And so

502
00:27:30,400 --> 00:27:32,879
Speaker 1: I think it was I think it's good that she

503
00:27:33,080 --> 00:27:35,480
Speaker 1: in public is saying, like it's okay for me to

504
00:27:36,080 --> 00:27:39,760
Speaker 1: ask questions about how I am being compensated. Another good

505
00:27:39,800 --> 00:27:42,359
Speaker 1: example is like the woman the show Ruwner behind the

506
00:27:42,400 --> 00:27:44,600
Speaker 1: show the HBO show I May Destroy You. It was

507
00:27:44,760 --> 00:27:47,560
Speaker 1: it was really there was a great piece, yeah, who

508
00:27:47,640 --> 00:27:50,200
Speaker 1: was so phenomenally talented, but like there was a piece

509
00:27:50,280 --> 00:27:52,440
Speaker 1: about how that show was going to go to Netflix,

510
00:27:52,680 --> 00:27:55,359
Speaker 1: and that she didn't want to didn't want to, you know,

511
00:27:55,440 --> 00:27:57,440
Speaker 1: have a Netflix a deal with Netflix, because she was like,

512
00:27:57,480 --> 00:27:59,879
Speaker 1: it's not clear to me, you know how I'm going

513
00:27:59,920 --> 00:28:01,760
Speaker 1: to be compensated, how it's going to be treated. And

514
00:28:01,800 --> 00:28:05,520
Speaker 1: I think we should normalize, particularly marginalized creators asking those

515
00:28:05,640 --> 00:28:07,800
Speaker 1: questions and doing someone in public and feeling empowered to

516
00:28:07,840 --> 00:28:09,119
Speaker 1: be like, well, wait, is this going to be a

517
00:28:09,160 --> 00:28:10,440
Speaker 1: good move for me? I don't have to just say

518
00:28:10,520 --> 00:28:13,159
Speaker 1: yes because Netflix comes knocking, Like I can have some

519
00:28:13,280 --> 00:28:15,840
Speaker 1: agency and push back and say I know my worth

520
00:28:15,920 --> 00:28:17,320
Speaker 1: and I want to ask some questions and I don't

521
00:28:17,359 --> 00:28:19,240
Speaker 1: have to just be grateful because you deigned to have

522
00:28:19,359 --> 00:28:23,080
Speaker 1: me join your slate. That interview is so fucking incredible,

523
00:28:23,200 --> 00:28:27,120
Speaker 1: and like, I'm so glad that she shared that anecdote too,

524
00:28:27,240 --> 00:28:29,480
Speaker 1: because when she kept I mean, I love how that

525
00:28:29,560 --> 00:28:31,840
Speaker 1: anecdote ends where it's like she keeps pushing on this

526
00:28:32,520 --> 00:28:35,040
Speaker 1: uh Netflix exact, saying like why can't I have a

527
00:28:35,119 --> 00:28:37,720
Speaker 1: percentage of my own work? Like what what is the

528
00:28:37,800 --> 00:28:39,320
Speaker 1: point of that? And it is kind of getting like

529
00:28:39,360 --> 00:28:41,720
Speaker 1: a corporate deflection of like, oh, well, it's really not

530
00:28:41,880 --> 00:28:44,520
Speaker 1: that big of a deal. And so Mikaela Cole says like, well,

531
00:28:44,560 --> 00:28:46,400
Speaker 1: if it's not that big of a deal, then give

532
00:28:46,440 --> 00:28:48,280
Speaker 1: me five percent of it, knowing that they were going

533
00:28:48,360 --> 00:28:52,560
Speaker 1: to keep saying no and before like I think, doesn't

534
00:28:52,560 --> 00:28:55,520
Speaker 1: it go that before? Uh? She you know, when Mikayla

535
00:28:55,560 --> 00:28:56,760
Speaker 1: Cole is kind of like, I'm not going to do

536
00:28:56,920 --> 00:29:00,440
Speaker 1: this with Netflix and the Netflix that get up on

537
00:29:00,520 --> 00:29:03,960
Speaker 1: the phone who was a woman said good for you,

538
00:29:04,440 --> 00:29:06,560
Speaker 1: like off the record, good for you. You're doing the

539
00:29:06,680 --> 00:29:10,320
Speaker 1: right thing. Click, like yeah, they know what they're doing. Yes,

540
00:29:11,160 --> 00:29:14,440
Speaker 1: and Leah, we should keep pushing, keep asking. A thing

541
00:29:14,520 --> 00:29:16,000
Speaker 1: about that Antifluce that I like so much is that

542
00:29:16,080 --> 00:29:19,640
Speaker 1: she's like she has uh. One of her negotiation tactics

543
00:29:19,760 --> 00:29:21,720
Speaker 1: is just like continuing to ask questions even when she

544
00:29:21,760 --> 00:29:24,120
Speaker 1: already knows the answer, so that we like to get

545
00:29:24,200 --> 00:29:26,080
Speaker 1: them to admit it. Like I just think that's like

546
00:29:26,160 --> 00:29:30,720
Speaker 1: we we have to normalize like asking these kinds of

547
00:29:30,840 --> 00:29:32,720
Speaker 1: questions and not being afraid to walk away and not

548
00:29:32,800 --> 00:29:34,400
Speaker 1: being afraid to ask them and not being afraid to

549
00:29:34,480 --> 00:29:37,920
Speaker 1: look ungrateful or look annoying or look whatever, like fine,

550
00:29:37,960 --> 00:29:39,880
Speaker 1: you think I'm annoying you? You're sick of the emailing

551
00:29:39,920 --> 00:29:41,280
Speaker 1: you fine, be sick of it, but I'm gonna I'm

552
00:29:41,280 --> 00:29:43,640
Speaker 1: gonna get my money. Rhetorically, it's like, yeah, it's a

553
00:29:43,640 --> 00:29:46,160
Speaker 1: good rhetorical strategy because you're saying I'm going to get

554
00:29:46,240 --> 00:29:48,640
Speaker 1: them to articulate that the reason they do it is

555
00:29:48,760 --> 00:29:52,160
Speaker 1: probably because of some kind of racist or misogynistic reasoning,

556
00:29:52,880 --> 00:29:55,160
Speaker 1: but they're going to couch it in this corporate speak.

557
00:29:55,400 --> 00:29:58,000
Speaker 1: But if you keep actually you know, examining it and

558
00:29:58,080 --> 00:29:59,720
Speaker 1: be like, well, can you actually explain that for that?

559
00:29:59,840 --> 00:30:01,680
Speaker 1: For like, at a certain point, they're like, look, man,

560
00:30:01,720 --> 00:30:03,720
Speaker 1: the company just doesn't pay black people that way. Okay,

561
00:30:04,400 --> 00:30:06,400
Speaker 1: Like it's almost like that's what you know you're gonna get.

562
00:30:06,480 --> 00:30:08,440
Speaker 1: And then they can be like, okay, great, and because

563
00:30:08,520 --> 00:30:10,600
Speaker 1: of this, I am not interested in working with you.

564
00:30:10,800 --> 00:30:14,600
Speaker 1: Good day and that. But that that definitely changes the

565
00:30:14,640 --> 00:30:16,840
Speaker 1: tone versus what it is now, which is, you know,

566
00:30:17,000 --> 00:30:20,400
Speaker 1: we come for our scraps as creators, and they're like, here,

567
00:30:20,480 --> 00:30:23,040
Speaker 1: have a half half a chicken bone and that's all

568
00:30:23,040 --> 00:30:25,400
Speaker 1: you're gonna get because I have the infrastructure to get

569
00:30:25,480 --> 00:30:28,760
Speaker 1: your to make you famous. But no, you know, it's

570
00:30:28,800 --> 00:30:31,200
Speaker 1: it's about the one's right fighting for it's fair and

571
00:30:31,280 --> 00:30:34,120
Speaker 1: that and that whole you know, like mentality of like

572
00:30:34,240 --> 00:30:37,840
Speaker 1: being whatever quote unquote grateful for the opportunity of like

573
00:30:37,960 --> 00:30:40,160
Speaker 1: you can't ask any follow up questions, or you are

574
00:30:40,360 --> 00:30:44,360
Speaker 1: a grateful towards this, right. Yeah, it's it's extremely manipulative.

575
00:30:44,400 --> 00:30:45,960
Speaker 1: But I mean, I don't know. I felt for it

576
00:30:46,120 --> 00:30:52,080
Speaker 1: for a long time. I have yet to have an

577
00:30:52,080 --> 00:30:54,120
Speaker 1: opportunity to show that I haven't fallen for it, fallen

578
00:30:54,160 --> 00:31:00,920
Speaker 1: for you getting paid in exposure. Okay, they're transport myself

579
00:31:01,040 --> 00:31:05,479
Speaker 1: to Indiana. You can get me Twitter verified. Oh no, okay,

580
00:31:05,560 --> 00:31:08,360
Speaker 1: what about Instagram? Oh no, okay, okay, all right, I'll

581
00:31:08,720 --> 00:31:11,080
Speaker 1: check back in eight months. Okay, thank you. It was

582
00:31:11,080 --> 00:31:15,840
Speaker 1: a good experience, experience. All right, let's take a quick

583
00:31:15,840 --> 00:31:18,120
Speaker 1: break and we'll be back with the main stories of

584
00:31:18,160 --> 00:31:32,240
Speaker 1: the day after this. And we're back, and let's talk

585
00:31:32,320 --> 00:31:34,560
Speaker 1: a little bit about Fox News, or talk a lot

586
00:31:34,600 --> 00:31:37,360
Speaker 1: a bit about Fox News. Uh. There's a piece in

587
00:31:37,440 --> 00:31:40,600
Speaker 1: the Daily Beast just talking about how a lot of

588
00:31:40,680 --> 00:31:43,760
Speaker 1: the staffers, especially the black staff at Fox News, have

589
00:31:44,680 --> 00:31:48,320
Speaker 1: you know, been in a constant battle with the company,

590
00:31:48,360 --> 00:31:53,360
Speaker 1: their employers, especially after a June nine like company wide

591
00:31:53,440 --> 00:31:56,600
Speaker 1: call where a lot of employees were you know, like

592
00:31:56,680 --> 00:31:59,800
Speaker 1: I think this happens in many companies around the time

593
00:31:59,880 --> 00:32:04,520
Speaker 1: of all the uprisings are from May onward, but where

594
00:32:04,880 --> 00:32:07,200
Speaker 1: you know, companies have opened the phone, the phone lines,

595
00:32:07,280 --> 00:32:09,840
Speaker 1: the zoom calls or whatever to speak their piece. And

596
00:32:10,160 --> 00:32:14,160
Speaker 1: in this one it became very contentious, very quickly, with

597
00:32:14,480 --> 00:32:17,280
Speaker 1: a lot of the black staffers asking like, what is

598
00:32:17,400 --> 00:32:20,680
Speaker 1: going on here? There has to be some recognition here

599
00:32:20,760 --> 00:32:25,200
Speaker 1: that you're actively promoting like racism, and with everything that's

600
00:32:25,200 --> 00:32:27,240
Speaker 1: going on in the country right now, this at a

601
00:32:27,320 --> 00:32:29,719
Speaker 1: certain level, we have to know what's going on, right

602
00:32:30,520 --> 00:32:34,760
Speaker 1: But it seems like the the opinion side of the building,

603
00:32:35,080 --> 00:32:38,560
Speaker 1: which is the Tucker Carlson's Ingram's handities of the world

604
00:32:38,600 --> 00:32:40,880
Speaker 1: who are like, we're not news. That's why we can

605
00:32:40,920 --> 00:32:44,480
Speaker 1: say like, just you know, unhinged racist bullshit because we're

606
00:32:44,480 --> 00:32:47,040
Speaker 1: not newsist opinions. Is my funked up racist opinion. Okay,

607
00:32:47,120 --> 00:32:49,280
Speaker 1: but I'm on a news channel, so I know it's

608
00:32:49,320 --> 00:32:51,600
Speaker 1: confusing to you. You'll take my opinion as news. But

609
00:32:51,720 --> 00:32:54,480
Speaker 1: that's the that's the gag. Um. They're the ones k

610
00:32:54,520 --> 00:32:57,120
Speaker 1: I think causing the most friction, or clearly they are.

611
00:32:57,640 --> 00:32:59,480
Speaker 1: They said over the past months from the Daily Beast

612
00:32:59,520 --> 00:33:02,400
Speaker 1: article the network's black employees, including on air talent, have

613
00:33:02,480 --> 00:33:06,000
Speaker 1: begun to openly confront management over Fox's anti black rhetoric,

614
00:33:06,160 --> 00:33:09,880
Speaker 1: especially that of network's biggest stars, Laura Ingram and Tucker Carlson.

615
00:33:10,400 --> 00:33:13,160
Speaker 1: And so in one of the you know, there are

616
00:33:13,240 --> 00:33:16,760
Speaker 1: many anecdotes that are in this article about sort of

617
00:33:16,920 --> 00:33:20,920
Speaker 1: points that these UH employees were raising, and in this

618
00:33:21,160 --> 00:33:24,680
Speaker 1: one specifically they're talking about On June twenty nine, Ingram

619
00:33:24,800 --> 00:33:27,720
Speaker 1: had an anti Black Lives Matter monologue quote which included

620
00:33:27,760 --> 00:33:30,520
Speaker 1: a line that many viewed as a racist dog whistle

621
00:33:30,600 --> 00:33:33,640
Speaker 1: and threat where and she said, quote, we will remember

622
00:33:33,760 --> 00:33:37,880
Speaker 1: those who desert their colors end quote. Now a lot

623
00:33:37,880 --> 00:33:40,640
Speaker 1: of people are like, they're like, this is what we're

624
00:33:40,680 --> 00:33:42,960
Speaker 1: talking about. You know, you're in the midst of all this.

625
00:33:43,160 --> 00:33:46,520
Speaker 1: They are trying to stoke a race war UH and

626
00:33:46,720 --> 00:33:50,800
Speaker 1: however effectively or ineffectively they want. And when the HR

627
00:33:50,880 --> 00:33:53,360
Speaker 1: complaint was filed about this thing of like, how did

628
00:33:53,440 --> 00:33:55,560
Speaker 1: this even get made? How did this get to air?

629
00:33:55,640 --> 00:33:58,880
Speaker 1: I want to understand through HR what the process was

630
00:33:59,040 --> 00:34:01,400
Speaker 1: for airing something like this that was so this like

631
00:34:01,600 --> 00:34:05,320
Speaker 1: racist dog whistling nonsense. Their head of like diversity inclusion

632
00:34:05,360 --> 00:34:07,800
Speaker 1: said that the remark wasn't racist. Who's a woman of color?

633
00:34:07,840 --> 00:34:10,160
Speaker 1: By the way, it wasn't racist, and it was actually

634
00:34:10,320 --> 00:34:13,920
Speaker 1: a military reference to the Civil War. Yes, okay, and

635
00:34:14,120 --> 00:34:16,960
Speaker 1: strange yeah, and strange Fruit is a song about produce,

636
00:34:17,400 --> 00:34:19,960
Speaker 1: uh exactly, Like what the funk are we talking about here?

637
00:34:20,040 --> 00:34:22,960
Speaker 1: We know this is sort of you know, some of

638
00:34:23,040 --> 00:34:27,120
Speaker 1: the goings on at the moment. Yeah. I mean something

639
00:34:27,200 --> 00:34:31,839
Speaker 1: about that is I've noticed that places like Fox News

640
00:34:32,239 --> 00:34:34,759
Speaker 1: they say these things that everybody knows are racist, but

641
00:34:34,840 --> 00:34:36,600
Speaker 1: they say them in this sort of like wink wink

642
00:34:36,840 --> 00:34:40,399
Speaker 1: plausible deniability way. So it's like that that allows room

643
00:34:40,560 --> 00:34:42,799
Speaker 1: for a diversity and inclusion specialists to be like, oh,

644
00:34:42,880 --> 00:34:46,080
Speaker 1: well that wasn't technically racist because YadA, YadA, YadA, or

645
00:34:46,200 --> 00:34:48,880
Speaker 1: if you're Confederate grays or we were in Union blues,

646
00:34:49,239 --> 00:34:53,560
Speaker 1: don't remember your colors. The idea of getting away like

647
00:34:53,680 --> 00:34:56,359
Speaker 1: getting getting off on a technicality and issues like I mean,

648
00:34:56,440 --> 00:34:59,400
Speaker 1: it is like very the Fox News playbook of like, well,

649
00:34:59,440 --> 00:35:02,560
Speaker 1: if you break down word by word, you know where

650
00:35:02,640 --> 00:35:05,560
Speaker 1: exactly is the harm. But that's that's just like when

651
00:35:06,200 --> 00:35:08,920
Speaker 1: when companies feel the need to do that, it's because

652
00:35:09,000 --> 00:35:12,320
Speaker 1: they are unequivocally wrong and just don't want to have

653
00:35:12,480 --> 00:35:15,560
Speaker 1: to own up to it at all. Absolutely. And another thing,

654
00:35:15,600 --> 00:35:17,560
Speaker 1: I mean, like I I worked for a news company.

655
00:35:17,560 --> 00:35:20,840
Speaker 1: I worked for MSNBC for like a very brief window.

656
00:35:20,920 --> 00:35:23,480
Speaker 1: It was not it was not for me, so I left. Um,

657
00:35:23,719 --> 00:35:25,880
Speaker 1: but I've seen a lot of people on Twitter being like,

658
00:35:26,400 --> 00:35:28,640
Speaker 1: you know, well, what did what did these black journalists expect?

659
00:35:28,719 --> 00:35:30,279
Speaker 1: Like why would you go work with somebody something like

660
00:35:30,320 --> 00:35:33,080
Speaker 1: Fox News? And like like what what did you expect?

661
00:35:33,120 --> 00:35:36,880
Speaker 1: And I definitely understand that criticism. But the reality is

662
00:35:37,040 --> 00:35:38,880
Speaker 1: is that, like it's very difficult to get a job

663
00:35:38,920 --> 00:35:43,600
Speaker 1: in media, right, not everybody, not everybody has the choice

664
00:35:43,680 --> 00:35:45,719
Speaker 1: to be like I was offered this job, but I'm

665
00:35:45,719 --> 00:35:47,520
Speaker 1: not going to take it because it's Fox News, right,

666
00:35:47,560 --> 00:35:50,080
Speaker 1: Like if you're just out of college with a journalism degree,

667
00:35:51,360 --> 00:35:53,800
Speaker 1: like good luck, right, Like it isn't it is not.

668
00:35:53,880 --> 00:35:57,279
Speaker 1: It is not easy to find work. And so I

669
00:35:57,719 --> 00:35:59,880
Speaker 1: get where that criticism is coming from, but it just

670
00:36:00,040 --> 00:36:01,959
Speaker 1: doesn't it's not it's not it's almost like not fair.

671
00:36:02,760 --> 00:36:04,960
Speaker 1: You should be able to get a job and not

672
00:36:05,200 --> 00:36:09,680
Speaker 1: worry that like a white supremacist sleep or cell's brewing

673
00:36:09,760 --> 00:36:12,000
Speaker 1: within your organization. While you're just trying to do your job,

674
00:36:12,120 --> 00:36:14,320
Speaker 1: like like it doesn't matter where you work, Like like

675
00:36:14,480 --> 00:36:17,160
Speaker 1: I think that like shifting the blame onto these black

676
00:36:17,239 --> 00:36:20,040
Speaker 1: journalists who who joined the ranks at Fox News is

677
00:36:20,080 --> 00:36:23,120
Speaker 1: really letting the Fox News infrastructure off the hook. But

678
00:36:23,160 --> 00:36:27,960
Speaker 1: the fact that like they are cultivating such an hostile, toxic,

679
00:36:28,400 --> 00:36:30,560
Speaker 1: racist workplace, yeah, well, I think it shows some of

680
00:36:30,600 --> 00:36:33,680
Speaker 1: the nihilism people experience around even trying to address this

681
00:36:33,840 --> 00:36:35,800
Speaker 1: issue too, where it's like, Okay, then I guess you

682
00:36:35,840 --> 00:36:37,320
Speaker 1: just have to accept that these people are out of

683
00:36:37,360 --> 00:36:39,880
Speaker 1: control racists and like that's what you're doing when you

684
00:36:39,960 --> 00:36:42,680
Speaker 1: go near there, because I don't know how we change

685
00:36:42,719 --> 00:36:44,879
Speaker 1: their minds or do anything about that, So what words

686
00:36:44,920 --> 00:36:46,600
Speaker 1: have to do? And I get that because at a

687
00:36:46,680 --> 00:36:48,560
Speaker 1: certain point, you look at all the examples you have

688
00:36:48,680 --> 00:36:51,319
Speaker 1: in the news and legislation, you're like, maybe not much

689
00:36:51,440 --> 00:36:55,080
Speaker 1: is changing, So what hope do we have? But to

690
00:36:55,239 --> 00:36:58,200
Speaker 1: your point, there's a story even like this woman Patricia

691
00:36:58,280 --> 00:37:01,399
Speaker 1: part who works as Fox News booking director, another woman

692
00:37:01,440 --> 00:37:05,520
Speaker 1: of color, she had constantly been like seeing this pattern

693
00:37:05,600 --> 00:37:09,680
Speaker 1: of her training younger, inexperienced white men and women who

694
00:37:09,719 --> 00:37:12,600
Speaker 1: would eventually just leap frog her into higher positions, better

695
00:37:12,719 --> 00:37:15,959
Speaker 1: pay and a lot and like going through all kinds

696
00:37:16,040 --> 00:37:21,839
Speaker 1: of I'm guessing like discriminatory treatment. And many of her

697
00:37:21,880 --> 00:37:25,080
Speaker 1: co workers were telling her get a lawyer and soothe

698
00:37:25,120 --> 00:37:27,120
Speaker 1: these people, like you got these people dead to rights,

699
00:37:27,200 --> 00:37:29,160
Speaker 1: like they are fucking with Like this is bad, like

700
00:37:29,320 --> 00:37:31,960
Speaker 1: this is all kinds of bad. And for the longest

701
00:37:32,040 --> 00:37:35,480
Speaker 1: time she did not. And to your point, I think,

702
00:37:35,520 --> 00:37:38,360
Speaker 1: to anyone's point, you go in uh to any business

703
00:37:38,480 --> 00:37:40,560
Speaker 1: or any kind of situation where your livelihood is on

704
00:37:40,640 --> 00:37:42,480
Speaker 1: the line and you are not and you are in

705
00:37:42,520 --> 00:37:47,239
Speaker 1: the minority group of people you're it takes unfortunately many

706
00:37:47,320 --> 00:37:49,959
Speaker 1: people when you're like whole survivals on the line, rocking

707
00:37:50,040 --> 00:37:52,759
Speaker 1: the boat isn't an attractive option because you run the

708
00:37:52,880 --> 00:37:56,840
Speaker 1: risk of having no income and then one. Um. So

709
00:37:57,719 --> 00:38:01,080
Speaker 1: even though she didn't, you know, file a lawsuit, she

710
00:38:01,239 --> 00:38:04,080
Speaker 1: was very recently promoted and got a salary bump and

711
00:38:04,120 --> 00:38:05,960
Speaker 1: things like that, And she did give one comment to

712
00:38:06,000 --> 00:38:07,840
Speaker 1: the Daily Beasts, and I think it's it's kind of

713
00:38:07,960 --> 00:38:09,880
Speaker 1: interesting that she did. She was like, you know what,

714
00:38:09,960 --> 00:38:11,399
Speaker 1: I will give you guys a comment. I know other

715
00:38:11,400 --> 00:38:13,040
Speaker 1: people who were working her arn't, but I will say this.

716
00:38:13,160 --> 00:38:15,120
Speaker 1: She said quote, there have been a couple of issues

717
00:38:15,160 --> 00:38:16,880
Speaker 1: that have happened with one person, and it got to

718
00:38:16,960 --> 00:38:19,040
Speaker 1: the point where a complaint was made, but that was

719
00:38:19,120 --> 00:38:22,440
Speaker 1: not made by me. I was asked to meet Suzanne Scott.

720
00:38:22,600 --> 00:38:24,480
Speaker 1: We had a conversation about it. I was given an

721
00:38:24,520 --> 00:38:26,160
Speaker 1: option of what I wanted to do. Did I want

722
00:38:26,200 --> 00:38:28,960
Speaker 1: the person fired? I said no. I received an apology

723
00:38:29,040 --> 00:38:31,160
Speaker 1: and the issue never came up again. The N word

724
00:38:31,280 --> 00:38:33,960
Speaker 1: was not used, but there were other comments that were

725
00:38:34,000 --> 00:38:36,960
Speaker 1: inappropriate and insensitive, and it was not a one time thing,

726
00:38:37,239 --> 00:38:41,760
Speaker 1: but it was not something that was ongoing. That's already

727
00:38:41,880 --> 00:38:47,560
Speaker 1: like the a sound bite from somebody who was whether

728
00:38:47,719 --> 00:38:50,680
Speaker 1: she was asked to say that or not, clearly somebody

729
00:38:50,760 --> 00:38:54,560
Speaker 1: who could not fully express how they felt about it,

730
00:38:54,680 --> 00:38:56,959
Speaker 1: especially when you read something like well the N word

731
00:38:57,080 --> 00:39:01,560
Speaker 1: wasn't used, but and it's like, oh, oh no, no, please,

732
00:39:01,640 --> 00:39:04,319
Speaker 1: Patricia and I and I have no I don't falter

733
00:39:04,440 --> 00:39:06,600
Speaker 1: in any way. But these are the dynamics of what

734
00:39:06,760 --> 00:39:09,319
Speaker 1: it's like even to be a woman of color, person

735
00:39:09,360 --> 00:39:12,480
Speaker 1: of color uh LGBTQ, if you are not like you know,

736
00:39:12,880 --> 00:39:15,239
Speaker 1: in the main stream of what people look at as

737
00:39:15,280 --> 00:39:19,200
Speaker 1: our workforce in this country. It is very difficult to

738
00:39:19,280 --> 00:39:22,279
Speaker 1: advocate for yourself, especially when the dynamics are like this.

739
00:39:22,440 --> 00:39:25,440
Speaker 1: But it's hopefully these are the kinds of changes we

740
00:39:25,480 --> 00:39:27,720
Speaker 1: can see where people can be a little more vocal

741
00:39:27,760 --> 00:39:30,320
Speaker 1: about it. Clearly, everything that was going on in the

742
00:39:30,360 --> 00:39:33,440
Speaker 1: country had motivated these employees on this call to like

743
00:39:33,800 --> 00:39:37,600
Speaker 1: take a stand and actually speak up. Unfortunately, none of

744
00:39:37,680 --> 00:39:40,359
Speaker 1: the people like the Tucker Carlson's and Laura Ingram's were

745
00:39:40,400 --> 00:39:42,400
Speaker 1: on this call to be able to even like account

746
00:39:42,440 --> 00:39:45,600
Speaker 1: for their own nonsense. Because Tucker Carlson, you know, last week,

747
00:39:46,040 --> 00:39:48,360
Speaker 1: he's like, I'm going on vacation because my head writer was,

748
00:39:48,480 --> 00:39:51,080
Speaker 1: you know, out it as like a terrible white supremacist. Anyway,

749
00:39:51,120 --> 00:39:53,080
Speaker 1: that's not my problem though, like I gotta go. I'm

750
00:39:53,080 --> 00:39:56,880
Speaker 1: I'm fishing with my kids around an unrelated note, I'm sleepy.

751
00:39:57,120 --> 00:40:04,320
Speaker 1: You're like, you're hear what though, Yeah, it's it's so

752
00:40:04,600 --> 00:40:07,719
Speaker 1: frustrating to I mean so many. The way that so

753
00:40:07,840 --> 00:40:09,680
Speaker 1: many of these stories seem to be playing out is

754
00:40:09,800 --> 00:40:15,279
Speaker 1: that there is an increased like look and there's an

755
00:40:15,320 --> 00:40:20,080
Speaker 1: increased perspective on what experiences at in professional environments are like.

756
00:40:20,320 --> 00:40:23,120
Speaker 1: But then it just resolves as a pr move on

757
00:40:23,239 --> 00:40:26,319
Speaker 1: the part of the company and then exactly how much

758
00:40:26,520 --> 00:40:29,040
Speaker 1: does change where It's like, I think that companies seem

759
00:40:29,080 --> 00:40:32,080
Speaker 1: to have this very real and present fear of their

760
00:40:32,120 --> 00:40:35,719
Speaker 1: marginalized employees being mad at them, but they don't. It's

761
00:40:35,800 --> 00:40:39,839
Speaker 1: it still hasn't led to any meaningful like well, it's

762
00:40:39,880 --> 00:40:41,840
Speaker 1: like the same reason why there is no progress on

763
00:40:42,160 --> 00:40:45,120
Speaker 1: like having a real racial reckoning in this country because

764
00:40:45,120 --> 00:40:46,960
Speaker 1: white people have the same thing, Like much do you

765
00:40:47,040 --> 00:40:50,160
Speaker 1: say the company assumes that their minority employees are already

766
00:40:50,200 --> 00:40:52,440
Speaker 1: mad at them. It's like the way white people assume

767
00:40:52,520 --> 00:40:55,759
Speaker 1: every minority person is mad at them. That's why they're

768
00:40:55,800 --> 00:40:57,359
Speaker 1: like because I know it's bad, and I know white

769
00:40:57,400 --> 00:40:59,520
Speaker 1: people do bad stuff, and like I get, I'm pretty

770
00:40:59,560 --> 00:41:02,239
Speaker 1: sure they're ad. So I don't know if I'm going

771
00:41:02,280 --> 00:41:04,359
Speaker 1: to even like talk to them because I don't want

772
00:41:04,360 --> 00:41:06,239
Speaker 1: to smoke even though I am pre this is all

773
00:41:06,280 --> 00:41:08,960
Speaker 1: preconceived smoke that I have not seen myself. You know,

774
00:41:09,480 --> 00:41:12,440
Speaker 1: that's like a barrier to even having these discussions because

775
00:41:12,560 --> 00:41:15,080
Speaker 1: one side is looking at it like these people are

776
00:41:15,080 --> 00:41:16,239
Speaker 1: so angry, I don't know what to do and I'm

777
00:41:16,239 --> 00:41:17,520
Speaker 1: not gonna deal with it because I wouldn't know the

778
00:41:17,560 --> 00:41:18,920
Speaker 1: first thing to say to even get these people to

779
00:41:19,000 --> 00:41:20,319
Speaker 1: not be mad at me, so like, fuck it, I'm

780
00:41:20,320 --> 00:41:22,919
Speaker 1: just gonna let that problem faster in the corner until

781
00:41:22,920 --> 00:41:26,000
Speaker 1: it becomes a situation that I'll have to deal with

782
00:41:26,400 --> 00:41:29,480
Speaker 1: when it becomes fully chaotic and out of control. When

783
00:41:29,560 --> 00:41:33,439
Speaker 1: really just having these discussions very openly and being able

784
00:41:33,480 --> 00:41:34,800
Speaker 1: to hear a person of color say, you know, I

785
00:41:34,920 --> 00:41:38,239
Speaker 1: wasn't comfortable saying something because I felt like if I

786
00:41:38,360 --> 00:41:41,480
Speaker 1: had been openly telling this company about some of the

787
00:41:41,640 --> 00:41:45,279
Speaker 1: racism that exists and the racism that employees experience, that

788
00:41:45,880 --> 00:41:48,399
Speaker 1: there would be retribution against me. And I think that's

789
00:41:48,440 --> 00:41:51,520
Speaker 1: something as an employer, I would like you to consider

790
00:41:51,680 --> 00:41:54,040
Speaker 1: that you may not have been hearing these things because

791
00:41:54,080 --> 00:41:57,399
Speaker 1: the environment feels that there will be retribution and retaliation

792
00:41:57,560 --> 00:42:00,719
Speaker 1: for advocating for ourselves. And I'm sure would be like, well,

793
00:42:00,760 --> 00:42:03,000
Speaker 1: that would never happen. I mean, that's what the that's

794
00:42:03,040 --> 00:42:05,320
Speaker 1: what the the hr AND legal team does, but like

795
00:42:05,400 --> 00:42:07,600
Speaker 1: they would never say that, but we have to have

796
00:42:07,760 --> 00:42:09,480
Speaker 1: like these are the things, like we can't go into

797
00:42:09,560 --> 00:42:12,560
Speaker 1: this with like some inbuilt awkwardness and rather than just

798
00:42:12,680 --> 00:42:14,799
Speaker 1: trying to be able to speak to each other too

799
00:42:14,800 --> 00:42:19,480
Speaker 1: on some level. It's very frustrating, it is, and like, honestly,

800
00:42:19,920 --> 00:42:22,560
Speaker 1: not to get too personal, but like, at a different

801
00:42:22,600 --> 00:42:25,279
Speaker 1: time in my life, I worked nine to five full

802
00:42:25,320 --> 00:42:29,800
Speaker 1: time jobs in mostly white, you know spaces, nonprofits, corporate

803
00:42:29,840 --> 00:42:33,360
Speaker 1: media companies, places like that, and right now, yeah, we

804
00:42:33,440 --> 00:42:36,960
Speaker 1: have a very similar experience. Um now, most of my work,

805
00:42:37,200 --> 00:42:39,600
Speaker 1: like my my work structure has totally changed. I work

806
00:42:39,680 --> 00:42:44,360
Speaker 1: for myself. I am happy to work sometimes alongside those structures,

807
00:42:44,600 --> 00:42:46,960
Speaker 1: but never fully within. And I used to, you know,

808
00:42:47,040 --> 00:42:49,640
Speaker 1: when I was working in these offices, these like white offices,

809
00:42:50,200 --> 00:42:53,360
Speaker 1: I never felt comfortable. I had to smile through inappropriate

810
00:42:53,440 --> 00:42:55,840
Speaker 1: ship on a regular basis. I had to like just

811
00:42:56,000 --> 00:42:59,680
Speaker 1: like I kind of have told myself that like part,

812
00:43:00,000 --> 00:43:03,080
Speaker 1: part and parcel of working in mostly white spaces as

813
00:43:03,080 --> 00:43:04,880
Speaker 1: a marginalized person, it's just like this is this is

814
00:43:04,920 --> 00:43:06,759
Speaker 1: what it feels like, this is what it's like. And

815
00:43:07,400 --> 00:43:09,960
Speaker 1: when I got sick of that, I you know, started

816
00:43:10,000 --> 00:43:12,160
Speaker 1: working for myself and decided I would only you know,

817
00:43:12,440 --> 00:43:14,040
Speaker 1: I would never kind of like have to work in

818
00:43:14,080 --> 00:43:17,400
Speaker 1: someone else's you know, nine h five infrastructure. And I

819
00:43:17,480 --> 00:43:19,200
Speaker 1: always just thought like, well, I guess I couldn't hack

820
00:43:19,280 --> 00:43:21,000
Speaker 1: and I guess something was wrong with me. I guess

821
00:43:21,200 --> 00:43:24,160
Speaker 1: I wasn't strong enough to take what was like what

822
00:43:24,280 --> 00:43:26,920
Speaker 1: I had convinced myself was like just the climate of

823
00:43:26,960 --> 00:43:28,239
Speaker 1: like of like the reality of what I had to

824
00:43:28,280 --> 00:43:30,960
Speaker 1: deal with. Looking back, now, nobody should have to put

825
00:43:31,040 --> 00:43:33,120
Speaker 1: up with this, Like going into a workplace shouldn't be

826
00:43:33,360 --> 00:43:38,920
Speaker 1: a daily process of you know, grinning, grinning through stuff

827
00:43:38,960 --> 00:43:42,160
Speaker 1: that makes you feel really invisible and hurt and unseen.

828
00:43:42,200 --> 00:43:44,919
Speaker 1: That shouldn't be part of anybody's workplace. And the fact

829
00:43:44,960 --> 00:43:47,400
Speaker 1: that the fact that I was experiencing it and and

830
00:43:47,440 --> 00:43:50,879
Speaker 1: like couldn't hack it, was it because I was weak?

831
00:43:51,000 --> 00:43:53,839
Speaker 1: It was because it was because like that was going unexamined,

832
00:43:53,880 --> 00:43:55,719
Speaker 1: Like no one was talking about the kind of things

833
00:43:55,760 --> 00:43:58,840
Speaker 1: that like their marginalized employees were having. We're being asked

834
00:43:58,880 --> 00:44:01,000
Speaker 1: to like swallow of day just to get their work

835
00:44:01,080 --> 00:44:02,960
Speaker 1: done right. And I think that's just that thing of

836
00:44:03,200 --> 00:44:06,960
Speaker 1: just we've been so conditioned to just accept white supremacy

837
00:44:07,280 --> 00:44:09,279
Speaker 1: for what it is, like that it exists and we

838
00:44:09,400 --> 00:44:10,839
Speaker 1: just have to deal with it, you know what I mean,

839
00:44:10,920 --> 00:44:12,319
Speaker 1: Like we just got to deal with it. And that's

840
00:44:12,360 --> 00:44:15,680
Speaker 1: like the change now is being like well all the

841
00:44:15,760 --> 00:44:17,520
Speaker 1: funk on, no, no, no, nobody has to deal with

842
00:44:17,640 --> 00:44:20,080
Speaker 1: this ship. Actually, and if there are enough people, if

843
00:44:20,160 --> 00:44:24,000
Speaker 1: we're have each other's backs, we can effectively do a

844
00:44:24,120 --> 00:44:26,680
Speaker 1: lot to move past this sort of frame of thinking

845
00:44:26,760 --> 00:44:29,160
Speaker 1: of just sort of like accepting that white supremacy is

846
00:44:29,200 --> 00:44:31,200
Speaker 1: just going to exist at every level and there's just

847
00:44:31,239 --> 00:44:33,520
Speaker 1: really not much we can do about it. Because I

848
00:44:33,600 --> 00:44:36,359
Speaker 1: think we're seeing signs that there are things that can

849
00:44:36,440 --> 00:44:38,920
Speaker 1: be done. It's just a matter of you know, standing

850
00:44:38,920 --> 00:44:41,399
Speaker 1: together to do that and do the right thing. Um,

851
00:44:41,840 --> 00:44:45,239
Speaker 1: let's move on to another group of people that also

852
00:44:45,360 --> 00:44:48,759
Speaker 1: need some help, the White House and the Trump administration

853
00:44:48,800 --> 00:44:50,400
Speaker 1: and what I mean help. I mean they need help

854
00:44:50,480 --> 00:44:52,920
Speaker 1: getting their ship out of six Pennsylvania Avenue and put

855
00:44:52,960 --> 00:44:55,200
Speaker 1: in a storage unit and getting the funk out. Um

856
00:44:56,320 --> 00:44:58,960
Speaker 1: a cube it is, oh yeah? Or what's the other

857
00:44:59,000 --> 00:45:01,400
Speaker 1: one where they're like they put in a storage center.

858
00:45:01,440 --> 00:45:04,839
Speaker 1: It's another box you can leave and it's a pre role.

859
00:45:05,840 --> 00:45:10,240
Speaker 1: There's another look, dude, abandoning your property. Services are fucking

860
00:45:10,400 --> 00:45:14,719
Speaker 1: in right now? Um, I mean I would love to

861
00:45:14,760 --> 00:45:16,840
Speaker 1: be one of those at the cube? Right is the

862
00:45:16,880 --> 00:45:20,560
Speaker 1: other one? We see a lot? Yeah, I don't know

863
00:45:20,640 --> 00:45:22,839
Speaker 1: why I've done the cube when I've had to skip town.

864
00:45:24,880 --> 00:45:28,840
Speaker 1: So it is pretty well documented at this point that

865
00:45:29,080 --> 00:45:32,879
Speaker 1: the president's pandemic response has been what I would say,

866
00:45:33,080 --> 00:45:36,560
Speaker 1: less than to put it very lightly. Um. And in

867
00:45:36,640 --> 00:45:39,040
Speaker 1: the beginning, it seemed like many people were willing to

868
00:45:39,160 --> 00:45:41,640
Speaker 1: sort of tolerate just a little bit of death as

869
00:45:41,719 --> 00:45:44,800
Speaker 1: a treat um as long as it was happening away

870
00:45:44,880 --> 00:45:46,880
Speaker 1: from them. And I knew at the time when we

871
00:45:46,960 --> 00:45:49,600
Speaker 1: were talking about this very early in the choir, we

872
00:45:49,680 --> 00:45:51,400
Speaker 1: were looking at these poles and be like, what the

873
00:45:51,480 --> 00:45:54,000
Speaker 1: funk is going on? But we were in cities where

874
00:45:54,520 --> 00:45:57,640
Speaker 1: the pandemic had hit and was already disrupting things. Many

875
00:45:57,680 --> 00:45:59,839
Speaker 1: other places in the country had not. At this point,

876
00:46:00,000 --> 00:46:04,239
Speaker 1: it was still kind of obscure. Cut too now, um,

877
00:46:04,640 --> 00:46:11,680
Speaker 1: and the landscape is completely completely different now of uh,

878
00:46:12,120 --> 00:46:15,560
Speaker 1: you know, of respondence to this national poll said that

879
00:46:15,680 --> 00:46:19,520
Speaker 1: they disapprove of the president's handling of COVID. Now that's

880
00:46:19,560 --> 00:46:25,040
Speaker 1: a pretty big shift because in March of respondent said

881
00:46:25,160 --> 00:46:30,160
Speaker 1: that they approved. Then in May it was so slowing

882
00:46:30,200 --> 00:46:33,400
Speaker 1: going down then cut to now it's thirty eight percent

883
00:46:33,520 --> 00:46:36,480
Speaker 1: that approved. So that's a lot of a that's a

884
00:46:36,560 --> 00:46:39,400
Speaker 1: lot of support to lose. I mean, you know, that's always.

885
00:46:39,400 --> 00:46:41,040
Speaker 1: The thing I'm interested is how many people are willing

886
00:46:41,080 --> 00:46:43,359
Speaker 1: to be like, yeah, it's fine because these deaths are fake,

887
00:46:43,600 --> 00:46:46,600
Speaker 1: or that I'm willing to like rationalize that they're necessary.

888
00:46:46,880 --> 00:46:51,040
Speaker 1: But that's it. That's pretty significant. And the disapproval rating

889
00:46:51,320 --> 00:46:55,840
Speaker 1: and they started off at in March, so it's a

890
00:46:55,880 --> 00:46:59,319
Speaker 1: pretty it's the swing is in is in full effect well,

891
00:46:59,360 --> 00:47:02,920
Speaker 1: and it seems I mean, unfortunately, I'm sure it's directly

892
00:47:03,040 --> 00:47:07,280
Speaker 1: tied to, you know, the kind of death spiral getting

893
00:47:07,400 --> 00:47:10,040
Speaker 1: closer to people of like you know, if you if

894
00:47:10,080 --> 00:47:12,440
Speaker 1: you felt one way in March and then in June

895
00:47:12,640 --> 00:47:15,480
Speaker 1: you have lost someone to this, it's very likely you're

896
00:47:15,520 --> 00:47:20,120
Speaker 1: going to feel different. It's yeah. And even on top

897
00:47:20,160 --> 00:47:22,279
Speaker 1: of that, I think that shows one thing everyone's like,

898
00:47:22,400 --> 00:47:26,200
Speaker 1: this administration is utter trash. The party itself is trash.

899
00:47:26,280 --> 00:47:29,120
Speaker 1: Because Charlie Cook, of all the my walks out there

900
00:47:29,200 --> 00:47:33,080
Speaker 1: from the Cook Political Report, he has shifted twenty house

901
00:47:33,200 --> 00:47:37,320
Speaker 1: races to the left. That's pretty big. That means twenty

902
00:47:37,400 --> 00:47:39,879
Speaker 1: things that were like toss up or maybe solidly red

903
00:47:40,000 --> 00:47:43,200
Speaker 1: or whatever, or or moving basically in favor of Democrats.

904
00:47:43,239 --> 00:47:45,360
Speaker 1: Doesn't mean everything is going red to blue, but the

905
00:47:45,480 --> 00:47:49,600
Speaker 1: trend is going away from the Republicans. The Republicans needed

906
00:47:49,640 --> 00:47:52,160
Speaker 1: to pick up eighteen seats if they wanted to get

907
00:47:52,200 --> 00:47:55,560
Speaker 1: the majority back, and the fact that twenty seats right

908
00:47:55,600 --> 00:47:59,200
Speaker 1: now are shifting leftward is really really bad sign for

909
00:47:59,320 --> 00:48:03,200
Speaker 1: them as well. That's assuming everybody goes and fucking votes

910
00:48:03,280 --> 00:48:05,040
Speaker 1: rather than looking at and be like, oh they're cooked. Man.

911
00:48:05,080 --> 00:48:06,759
Speaker 1: Too many people are dead. The people who give a

912
00:48:06,800 --> 00:48:10,080
Speaker 1: funk enough to vote will vote. No, everybody has to vote. Um,

913
00:48:10,200 --> 00:48:13,880
Speaker 1: so there's a lot They've got a huge, huge battle

914
00:48:13,960 --> 00:48:16,600
Speaker 1: ahead of them. Yeah. And I also think to Jamie's point,

915
00:48:16,680 --> 00:48:19,160
Speaker 1: like I think in March, you know the number that

916
00:48:19,280 --> 00:48:22,200
Speaker 1: the jump that you said, you said in March, Like,

917
00:48:22,600 --> 00:48:24,800
Speaker 1: I think in March people were still thinking that this

918
00:48:24,920 --> 00:48:27,120
Speaker 1: was just like a city problem, Like it was like, oh, well,

919
00:48:27,400 --> 00:48:29,799
Speaker 1: it's just New York or whatever. And I do think

920
00:48:29,840 --> 00:48:32,279
Speaker 1: that as people see like they they had a date

921
00:48:32,320 --> 00:48:34,680
Speaker 1: with no death from coronavirus just a couple of days ago,

922
00:48:34,800 --> 00:48:37,640
Speaker 1: right like, as we see this getting worse in other places,

923
00:48:37,680 --> 00:48:40,040
Speaker 1: I think people are really grappling with what does it

924
00:48:40,239 --> 00:48:43,279
Speaker 1: mean for me and my family and my loved ones

925
00:48:43,400 --> 00:48:46,200
Speaker 1: to have this person who like they have just a

926
00:48:46,239 --> 00:48:49,320
Speaker 1: complete failure of of leadership in the White House, and

927
00:48:49,360 --> 00:48:51,920
Speaker 1: I think like even people who were once Trump allies,

928
00:48:52,040 --> 00:48:55,279
Speaker 1: like Hogan in Maryland, are coming out saying like, yeah,

929
00:48:55,360 --> 00:48:58,359
Speaker 1: I had to do it was clear that Larry Hogan said,

930
00:48:58,360 --> 00:49:00,279
Speaker 1: it was clear that there was no federal leader ship,

931
00:49:00,360 --> 00:49:02,759
Speaker 1: and it's my job as governor of Maryland to like

932
00:49:03,080 --> 00:49:05,840
Speaker 1: make sure my citizenry doesn't die. So I had to

933
00:49:05,960 --> 00:49:09,320
Speaker 1: act in absence of federal leadership. I'm no big supporter

934
00:49:09,520 --> 00:49:12,680
Speaker 1: of Larry Hogan, but he's completely right that. I think

935
00:49:12,719 --> 00:49:16,800
Speaker 1: the more people who just wake up to the deadly

936
00:49:17,520 --> 00:49:20,600
Speaker 1: death cult that is the Trump administration, the more that happens,

937
00:49:20,600 --> 00:49:23,920
Speaker 1: the more people are seeing like today it's New York

938
00:49:24,040 --> 00:49:27,480
Speaker 1: tomorrow it's me right, Like how like when you sit

939
00:49:27,560 --> 00:49:29,960
Speaker 1: back and say like, oh, well, who cares it's just immigrants,

940
00:49:30,000 --> 00:49:31,480
Speaker 1: or who cares it's just New Yorkers, or who cares

941
00:49:31,520 --> 00:49:33,040
Speaker 1: it's just women, or who cares to just black people?

942
00:49:33,560 --> 00:49:39,080
Speaker 1: It's like it will devour us all. Yeah, it's Hogan

943
00:49:39,200 --> 00:49:41,799
Speaker 1: is actually in the news too because he apparently got

944
00:49:41,840 --> 00:49:45,480
Speaker 1: a ton of tests from South Korea when like a

945
00:49:45,640 --> 00:49:47,840
Speaker 1: US manufacturer was offering him. He's like, now I'm going

946
00:49:47,880 --> 00:49:52,000
Speaker 1: to South Korean ones, they're right there, and then I

947
00:49:52,080 --> 00:49:55,240
Speaker 1: don't know, there's there's there's some other test test things

948
00:49:55,320 --> 00:49:57,760
Speaker 1: going on. H there was a there was an article

949
00:49:57,880 --> 00:50:01,040
Speaker 1: just this morning to in in our area miles about

950
00:50:01,120 --> 00:50:04,279
Speaker 1: how you know, l A County was the hotspot for

951
00:50:05,000 --> 00:50:07,520
Speaker 1: Corona for the first several months, but now it is

952
00:50:07,760 --> 00:50:10,440
Speaker 1: like starting to beat the suburbs around us, in like

953
00:50:10,520 --> 00:50:13,000
Speaker 1: Orange County and other areas that are starting to have

954
00:50:13,160 --> 00:50:16,960
Speaker 1: higher rates. And it's like, yeah, you can't fucking ignore

955
00:50:17,000 --> 00:50:19,480
Speaker 1: this stuff and just be like, oh, it's like you're

956
00:50:19,480 --> 00:50:22,080
Speaker 1: saying bridget at city people. It's poor people. It's you know,

957
00:50:22,520 --> 00:50:25,800
Speaker 1: they think it's like a fandom, right, It's like, no, no,

958
00:50:26,360 --> 00:50:29,759
Speaker 1: we're we're we're fucking patriots fans over here. That's a

959
00:50:29,960 --> 00:50:33,840
Speaker 1: that's a fucking rams problem. It's like, I don't do

960
00:50:33,960 --> 00:50:37,120
Speaker 1: that here, No, no, no, you live Okay, How do

961
00:50:37,239 --> 00:50:40,040
Speaker 1: I fucking put this? Imagine a bowl of water, now,

962
00:50:40,120 --> 00:50:42,480
Speaker 1: put some food coloring in it. It may be on

963
00:50:42,600 --> 00:50:45,320
Speaker 1: that one part at one point, but it will begin

964
00:50:45,560 --> 00:50:49,040
Speaker 1: to actually there will be diffusion will take place and

965
00:50:49,760 --> 00:50:52,799
Speaker 1: you're seemingly interconnectedness. Will you will you will you will

966
00:50:52,840 --> 00:50:56,359
Speaker 1: begin to see that this is all the same biosphere

967
00:50:56,400 --> 00:50:58,200
Speaker 1: we live in, and it can come to your doorstep

968
00:50:58,239 --> 00:51:00,719
Speaker 1: as well. But I think that really is the mentality

969
00:51:01,760 --> 00:51:03,920
Speaker 1: that people have, Like it's I think it also the

970
00:51:04,040 --> 00:51:06,719
Speaker 1: part is in divide also adds to it too, where

971
00:51:07,239 --> 00:51:09,760
Speaker 1: people have created like oh, that's a thing that happens

972
00:51:09,800 --> 00:51:12,520
Speaker 1: to democrats, or that's the thing that happens to Republicans,

973
00:51:12,560 --> 00:51:14,400
Speaker 1: Like on the left and the right, there's this like weird,

974
00:51:15,320 --> 00:51:19,560
Speaker 1: there's still this these two you know, like multiple multiverses

975
00:51:19,640 --> 00:51:22,239
Speaker 1: that are like happening at the same time that very

976
00:51:22,280 --> 00:51:24,120
Speaker 1: few people are willing to be able to be like, no,

977
00:51:24,239 --> 00:51:26,000
Speaker 1: it's it's kind of the same thing, but people are

978
00:51:26,040 --> 00:51:28,080
Speaker 1: looking at it, have arrived at this place in their

979
00:51:28,120 --> 00:51:29,680
Speaker 1: own fucked up way, But we also need to be

980
00:51:29,719 --> 00:51:32,879
Speaker 1: able to see objectively what's going on. Yeah, it makes

981
00:51:32,920 --> 00:51:35,680
Speaker 1: me like this is something that I almost can't even

982
00:51:35,680 --> 00:51:37,759
Speaker 1: talk about because I get so infuriated when we talk

983
00:51:37,800 --> 00:51:40,680
Speaker 1: about this kind of thing, Like the conversation with the masks,

984
00:51:40,800 --> 00:51:43,600
Speaker 1: it's like, it is the literal least you can do.

985
00:51:43,840 --> 00:51:46,280
Speaker 1: It is a piece of fabric on your fucking face

986
00:51:47,000 --> 00:51:52,000
Speaker 1: if you face not covering. If you wear it, people,

987
00:51:52,280 --> 00:51:55,080
Speaker 1: people might not die. The worst thing that could happen

988
00:51:55,120 --> 00:51:56,520
Speaker 1: if you wear one, is that it might there might

989
00:51:56,520 --> 00:51:58,320
Speaker 1: be a piece of fabric on your face. Just wear it.

990
00:51:58,520 --> 00:51:59,920
Speaker 1: It's like it's like one of those things that just

991
00:52:00,080 --> 00:52:03,279
Speaker 1: like in the fact that people have politicized it so much,

992
00:52:03,560 --> 00:52:05,480
Speaker 1: and it's such a like like I saw I can't

993
00:52:05,480 --> 00:52:07,560
Speaker 1: remember who it was, but I saw some lawmaker who

994
00:52:07,640 --> 00:52:09,279
Speaker 1: was talking about like how he would never wear a

995
00:52:09,360 --> 00:52:11,360
Speaker 1: mask in a grocery store, and the anchor was like

996
00:52:11,440 --> 00:52:13,840
Speaker 1: grilling him, like what's the big problem with Max, Like

997
00:52:13,920 --> 00:52:16,239
Speaker 1: what is the big deal? And he was like, well, yeah,

998
00:52:16,320 --> 00:52:18,880
Speaker 1: it's like it is it really like the fact that

999
00:52:18,920 --> 00:52:23,200
Speaker 1: we have politicized just like basic empathy for others. It's like, well,

1000
00:52:23,760 --> 00:52:25,520
Speaker 1: fuck that. I'm an American. It's my right to not

1001
00:52:25,600 --> 00:52:28,920
Speaker 1: give a shit about people. So that shows you how

1002
00:52:29,080 --> 00:52:32,520
Speaker 1: the pathology of this country and the mentality of what

1003
00:52:33,000 --> 00:52:36,200
Speaker 1: some Americans think it means to be American, which is

1004
00:52:36,320 --> 00:52:38,719
Speaker 1: I don't dude, get the funk away from me, this

1005
00:52:38,840 --> 00:52:40,920
Speaker 1: is America and do whatever the funk I want to do,

1006
00:52:41,280 --> 00:52:43,839
Speaker 1: And like that's what they've reduced it to, like don't

1007
00:52:44,280 --> 00:52:47,319
Speaker 1: tell me everything. It truly is just like I mean,

1008
00:52:47,440 --> 00:52:51,040
Speaker 1: and it's becoming worse and worse. But it's like the

1009
00:52:51,600 --> 00:52:56,000
Speaker 1: idea of individualism is completely it's like fucking killing people

1010
00:52:56,160 --> 00:53:02,520
Speaker 1: like this rugged individual or can mentality is genuinely harmful

1011
00:53:02,520 --> 00:53:05,080
Speaker 1: to other people because it discouraged, you know it, depending

1012
00:53:05,160 --> 00:53:08,320
Speaker 1: on where you're coming from, it can that mindset actively

1013
00:53:08,400 --> 00:53:11,560
Speaker 1: discourages empathy for people who are not exactly like you

1014
00:53:11,920 --> 00:53:16,640
Speaker 1: or even just you specifically. Like it's it's such a

1015
00:53:16,680 --> 00:53:20,880
Speaker 1: fucking slippery slope. The well, the the good thing for

1016
00:53:21,000 --> 00:53:24,120
Speaker 1: the White House is Kelly and Conway actually has devised

1017
00:53:24,160 --> 00:53:27,600
Speaker 1: a plan to just turn these poll numbers just right around.

1018
00:53:27,760 --> 00:53:31,120
Speaker 1: You know, let's just invert these baby, what about six approval?

1019
00:53:31,520 --> 00:53:36,560
Speaker 1: Her plan is this, Uh, she believes that the president

1020
00:53:36,600 --> 00:53:41,200
Speaker 1: needs to bring back the daily coronavirus briefings, explicitly stating

1021
00:53:41,280 --> 00:53:44,279
Speaker 1: that quote his numbers were much higher when he was

1022
00:53:44,400 --> 00:53:47,560
Speaker 1: out there briefing everybody on a day by day basis

1023
00:53:47,640 --> 00:53:52,600
Speaker 1: about the coronavirus end quote. Now that makes sense if

1024
00:53:52,640 --> 00:53:56,600
Speaker 1: you completely forget why they fucking pulled the plug, because

1025
00:53:56,640 --> 00:53:59,279
Speaker 1: that's when he was telling people to mainline lysol to

1026
00:53:59,440 --> 00:54:03,040
Speaker 1: fucking the coronavirus. And that's like, to get this man off,

1027
00:54:03,120 --> 00:54:05,359
Speaker 1: get this fucking man off the screen and they were saying,

1028
00:54:05,600 --> 00:54:08,320
Speaker 1: we were so young. All of the reports from the

1029
00:54:08,360 --> 00:54:11,160
Speaker 1: White House at the time where people saying, oh man,

1030
00:54:11,320 --> 00:54:14,480
Speaker 1: these these briefings are killing them. He's just up there

1031
00:54:14,520 --> 00:54:17,400
Speaker 1: saying all kinds of nonsense. It's causing more confusion. Is

1032
00:54:17,480 --> 00:54:20,759
Speaker 1: actually not good. But but what's wild is they are

1033
00:54:20,960 --> 00:54:24,719
Speaker 1: so superficial or like reactionary, and they're thinking, they're like, well,

1034
00:54:24,920 --> 00:54:30,200
Speaker 1: pull numbers better than so, let's do the thing from then.

1035
00:54:31,040 --> 00:54:33,640
Speaker 1: Even though that's not it wasn't tied to the fact

1036
00:54:33,719 --> 00:54:35,759
Speaker 1: that he was doing briefings. It was tied to the

1037
00:54:35,840 --> 00:54:40,000
Speaker 1: fact that people knew less about how awful the situation was. Yeah,

1038
00:54:40,040 --> 00:54:44,239
Speaker 1: I feel like he Trump doing those briefings. He would

1039
00:54:44,320 --> 00:54:47,359
Speaker 1: get on stage and say nonsense, and it would be like, well,

1040
00:54:47,440 --> 00:54:51,120
Speaker 1: if someone gonna like so, so should I drink leisel?

1041
00:54:51,320 --> 00:54:53,920
Speaker 1: Like will you be like killing? Like you know what's like,

1042
00:54:55,080 --> 00:54:57,240
Speaker 1: I haven't thought about the lesson in a while, honestly,

1043
00:54:57,320 --> 00:55:02,640
Speaker 1: I'm like, God, yeah, first young and just hit it

1044
00:55:02,719 --> 00:55:07,200
Speaker 1: with a spring ago that that was going on, right,

1045
00:55:07,920 --> 00:55:11,880
Speaker 1: And I think also like thinking about, like, you know,

1046
00:55:12,239 --> 00:55:16,080
Speaker 1: all of the dumbest ship Trump and his administration, like

1047
00:55:16,200 --> 00:55:18,359
Speaker 1: the whole thing with the Goya beans, Like people are

1048
00:55:18,480 --> 00:55:20,960
Speaker 1: dead and you and you have time to like two

1049
00:55:21,040 --> 00:55:23,080
Speaker 1: different people in your administration have time to pose with

1050
00:55:23,120 --> 00:55:25,320
Speaker 1: a photo shoot with some goddamn beans, Like this is

1051
00:55:25,360 --> 00:55:27,480
Speaker 1: what you're doing as people die? Like this is what

1052
00:55:27,600 --> 00:55:29,759
Speaker 1: this is? Like what we get as a leader. It's

1053
00:55:29,800 --> 00:55:32,800
Speaker 1: not that's the thing. It's like you'd think in the

1054
00:55:32,880 --> 00:55:35,520
Speaker 1: history books they're going to be yelling at us. They're

1055
00:55:35,560 --> 00:55:38,560
Speaker 1: like what did these people think was going on? Like

1056
00:55:38,760 --> 00:55:41,480
Speaker 1: everything was so out in the open, and it was like,

1057
00:55:41,560 --> 00:55:45,719
Speaker 1: I don't know, I want to like we just we've

1058
00:55:46,200 --> 00:55:48,600
Speaker 1: everything has become so unstable that it's even hard to

1059
00:55:48,680 --> 00:55:51,279
Speaker 1: like land on, Like oh funk, what what where do

1060
00:55:51,360 --> 00:55:53,440
Speaker 1: we go from here? What is what are the actual

1061
00:55:53,520 --> 00:55:56,400
Speaker 1: transgressions that are occurring? Because there's so many and so frequent,

1062
00:55:56,840 --> 00:56:00,520
Speaker 1: it's hard to even know. Okay, but let'sten actually, and

1063
00:56:00,640 --> 00:56:04,719
Speaker 1: we'll be right back with some burger king fart based news.

1064
00:56:15,080 --> 00:56:19,040
Speaker 1: And we're back and let's just check in with the King.

1065
00:56:19,320 --> 00:56:23,160
Speaker 1: Let's check in with the b K real quick. Um.

1066
00:56:23,719 --> 00:56:27,880
Speaker 1: There was a video that came out with Mason whatever

1067
00:56:28,000 --> 00:56:30,839
Speaker 1: his the the Walmart yodeling boy. I believe that was him,

1068
00:56:30,880 --> 00:56:36,320
Speaker 1: because there's yodeling in this video with Mason Ramsey. And

1069
00:56:36,440 --> 00:56:40,720
Speaker 1: so he's out here yodling. Yeah, I know, right, he's

1070
00:56:40,719 --> 00:56:44,320
Speaker 1: out here, um yodeling his little butt off to like

1071
00:56:44,520 --> 00:56:48,000
Speaker 1: a fun commercial talking about how you know, methane is

1072
00:56:48,080 --> 00:56:52,200
Speaker 1: a huge, huge problem in terms of like our agriculture

1073
00:56:52,600 --> 00:56:55,600
Speaker 1: because cows are releasing a lot of methane, a greenhouse gas.

1074
00:56:55,960 --> 00:56:57,719
Speaker 1: And the gist of it is sort of like, well,

1075
00:56:57,840 --> 00:57:01,640
Speaker 1: Burger King knows methane bad, So what we're gonna do

1076
00:57:02,160 --> 00:57:05,800
Speaker 1: is make a new burger that will solve the methane problem.

1077
00:57:06,280 --> 00:57:08,120
Speaker 1: And you're gonna you're gonna be able to eat so

1078
00:57:08,200 --> 00:57:11,919
Speaker 1: many burgers you you don't even know what to do. So, yes,

1079
00:57:12,320 --> 00:57:16,120
Speaker 1: methane is a huge issue. Uh. And the logic of

1080
00:57:16,200 --> 00:57:18,400
Speaker 1: this Burger King campaign is that they are going to

1081
00:57:18,640 --> 00:57:23,240
Speaker 1: offer low methane beef patties, meaning that by adding lemon

1082
00:57:23,320 --> 00:57:26,560
Speaker 1: grass to the diets of like the cows, that they

1083
00:57:26,640 --> 00:57:30,680
Speaker 1: can reduce the methane emissions by about one third. I

1084
00:57:30,760 --> 00:57:34,920
Speaker 1: think on paper that sounds pretty interesting. I'm like, oh,

1085
00:57:34,960 --> 00:57:36,400
Speaker 1: that's all I have to do. We can you can

1086
00:57:36,440 --> 00:57:39,720
Speaker 1: cut down methane emissions by one third by just giving

1087
00:57:39,800 --> 00:57:44,080
Speaker 1: people are these cows a little bit of yeah, go

1088
00:57:44,560 --> 00:57:49,040
Speaker 1: go on, Mason, tell me more. Um, there's a couple

1089
00:57:49,040 --> 00:57:51,520
Speaker 1: of things about this. First of all, these beef patties

1090
00:57:51,640 --> 00:57:54,360
Speaker 1: are only for a limited time and like, are only

1091
00:57:54,440 --> 00:57:56,560
Speaker 1: available in a handful of cities, So if you don't

1092
00:57:56,560 --> 00:57:59,000
Speaker 1: live in Miami, New York, Austin, Portland, or l A,

1093
00:57:59,360 --> 00:58:01,960
Speaker 1: you're not gonna see this ship. Even though this like

1094
00:58:02,160 --> 00:58:04,720
Speaker 1: campaign was meant to be like burger king has solved

1095
00:58:04,760 --> 00:58:07,240
Speaker 1: the greenhouse gas problems in our like with our red

1096
00:58:07,320 --> 00:58:10,840
Speaker 1: meat consumption. The other thing was that the fart stuff, right,

1097
00:58:11,320 --> 00:58:14,480
Speaker 1: this whole idea that you know, it's the farts are

1098
00:58:14,520 --> 00:58:18,920
Speaker 1: causing the methane, that's actually not true. Many agricultural scientists

1099
00:58:19,000 --> 00:58:21,440
Speaker 1: and people who are like researching this like this is

1100
00:58:21,480 --> 00:58:25,080
Speaker 1: so fucking lame, this commercial because six of the methane

1101
00:58:25,120 --> 00:58:27,800
Speaker 1: actually comes from their burps uh and not from their

1102
00:58:27,880 --> 00:58:33,720
Speaker 1: their manure comes from manure uh. And this one scientist

1103
00:58:33,840 --> 00:58:36,840
Speaker 1: was saying, it's not the cow farts. Nearly all enteric

1104
00:58:36,960 --> 00:58:40,800
Speaker 1: methane from cattle is from belching. Suggesting otherwise turns this

1105
00:58:40,920 --> 00:58:45,760
Speaker 1: serious climate topic into a joke. It's it's funny how

1106
00:58:45,840 --> 00:58:49,080
Speaker 1: the commercials really like they really want to talk about farts.

1107
00:58:49,160 --> 00:58:51,400
Speaker 1: Like the commercial has like a that that kid going

1108
00:58:51,440 --> 00:58:53,800
Speaker 1: into like a cow ass, Like it's like they are

1109
00:58:53,920 --> 00:58:56,600
Speaker 1: really hyper focused on the farts and want to make

1110
00:58:56,640 --> 00:58:59,000
Speaker 1: sure that you got the like the farts are part

1111
00:58:59,000 --> 00:59:01,840
Speaker 1: of the conversation. They really as It's like when you

1112
00:59:02,360 --> 00:59:04,439
Speaker 1: act the context that it's not even really about the farts.

1113
00:59:04,480 --> 00:59:07,160
Speaker 1: The farts not even the big problem, that becomes even

1114
00:59:07,240 --> 00:59:10,600
Speaker 1: more weird. It's even more weird of a choice. I'm

1115
00:59:10,720 --> 00:59:13,919
Speaker 1: absolutely I mean this this is just like a miss

1116
00:59:14,040 --> 00:59:17,240
Speaker 1: on so many levels because it completely misunderstands what it

1117
00:59:17,360 --> 00:59:20,840
Speaker 1: doesn't know what it's talking about. It's using this like

1118
00:59:21,840 --> 00:59:24,400
Speaker 1: you know, kind of like irony poisoned aesthetic that was

1119
00:59:24,480 --> 00:59:30,440
Speaker 1: really popular five years ago to give this misinformation to everybody.

1120
00:59:31,080 --> 00:59:33,439
Speaker 1: And it's not funny. I think that they think it's

1121
00:59:33,480 --> 00:59:35,800
Speaker 1: funny and it's not. I just, oh god, I mean

1122
00:59:35,920 --> 00:59:38,520
Speaker 1: these this trend of I feel like we've been talking

1123
00:59:38,520 --> 00:59:41,280
Speaker 1: about this on guys for years. At this point of

1124
00:59:41,480 --> 00:59:46,840
Speaker 1: like cool brand, it's like it's we the curtain has

1125
00:59:46,880 --> 00:59:50,600
Speaker 1: been pulled aside, like it's not funny, it's not cool,

1126
00:59:50,680 --> 00:59:53,200
Speaker 1: and in this case, it's just like not even accurate.

1127
00:59:54,280 --> 00:59:58,120
Speaker 1: So the scientific part of it is really fucking just

1128
00:59:58,240 --> 01:00:01,680
Speaker 1: so lam so know they're claiming they're like, yeah, hundreds

1129
01:00:01,720 --> 01:00:04,320
Speaker 1: of to fucking just a hundred grams of dried lemon

1130
01:00:04,360 --> 01:00:09,000
Speaker 1: grass is reducing it by the methane emissions. So a

1131
01:00:09,080 --> 01:00:10,720
Speaker 1: lot of people who are looking at this like okay,

1132
01:00:10,800 --> 01:00:14,240
Speaker 1: can I see your scientific receipts please? And here's where

1133
01:00:14,320 --> 01:00:18,400
Speaker 1: it becomes a fucking issue. The study that they're sighting

1134
01:00:18,760 --> 01:00:21,720
Speaker 1: hasn't even gone through any kind of peer review, which

1135
01:00:22,040 --> 01:00:25,040
Speaker 1: I think is important because that's usually when your peers go,

1136
01:00:25,240 --> 01:00:30,440
Speaker 1: what the fund is this bro? This is not no? No, yeah, yo,

1137
01:00:30,680 --> 01:00:35,600
Speaker 1: the fu not this bro, get go back um, which

1138
01:00:35,720 --> 01:00:38,280
Speaker 1: you know is very important with any sort of scientific study.

1139
01:00:38,640 --> 01:00:40,560
Speaker 1: So all the claims are relying on like it was

1140
01:00:40,640 --> 01:00:43,560
Speaker 1: like I think a cooperative study with like a lab

1141
01:00:43,680 --> 01:00:46,280
Speaker 1: in Mexico and one in the US that they're saying, oh,

1142
01:00:46,320 --> 01:00:48,919
Speaker 1: we're going off to the results in the Mexican lab

1143
01:00:49,600 --> 01:00:52,800
Speaker 1: because the US part of this study when they concluded

1144
01:00:52,840 --> 01:00:55,640
Speaker 1: there is they said, quote the research was inconclusive and

1145
01:00:55,760 --> 01:00:58,600
Speaker 1: so far showed no methane reduction from lemon grass end quote.

1146
01:00:58,800 --> 01:01:00,439
Speaker 1: So like, okay, shut the funk, Okay to talk about

1147
01:01:00,440 --> 01:01:03,680
Speaker 1: that part that let's us get away with this just

1148
01:01:03,800 --> 01:01:07,040
Speaker 1: like ridiculous claim. And you know, I think while that's

1149
01:01:07,160 --> 01:01:09,240
Speaker 1: interesting to talk about methane, I mean like there's like

1150
01:01:09,640 --> 01:01:13,440
Speaker 1: you know, there's like restorative agriculture that's used for raising cattle.

1151
01:01:13,520 --> 01:01:16,360
Speaker 1: That's like an actual way to like look at how

1152
01:01:16,520 --> 01:01:20,760
Speaker 1: destructive that kind of uh, this certain aspect of agriculture

1153
01:01:20,760 --> 01:01:22,400
Speaker 1: can be. But you know they make it a fart

1154
01:01:22,440 --> 01:01:24,840
Speaker 1: joke with the yodeling kid, and then it's just like

1155
01:01:26,600 --> 01:01:29,960
Speaker 1: kind of rich coming from burger King too of just

1156
01:01:30,120 --> 01:01:32,880
Speaker 1: like are you really going to make this like standing

1157
01:01:32,960 --> 01:01:35,680
Speaker 1: on a pedestal style like we get it kind of

1158
01:01:35,840 --> 01:01:39,560
Speaker 1: joke when it's like no, you're burger King like you've

1159
01:01:39,720 --> 01:01:42,960
Speaker 1: done fun. I mean that's like their m oh do

1160
01:01:43,040 --> 01:01:45,920
Speaker 1: you guys remember back in twineeen when they had they

1161
01:01:46,000 --> 01:01:49,760
Speaker 1: released their real meals that would be like instead of

1162
01:01:49,760 --> 01:01:52,520
Speaker 1: a happy meal, it's like get pissed meal or like

1163
01:01:52,800 --> 01:01:58,000
Speaker 1: yes meal, like I think meals. Yeah, Like I think

1164
01:01:58,040 --> 01:02:01,520
Speaker 1: that they often like swing for the fences, and I

1165
01:02:01,560 --> 01:02:03,520
Speaker 1: guess I kind of I kind of like respect that,

1166
01:02:03,720 --> 01:02:07,600
Speaker 1: but often it's like, you know where this goes based

1167
01:02:07,640 --> 01:02:11,960
Speaker 1: on this logic, So if we had mental health, last time,

1168
01:02:12,440 --> 01:02:15,320
Speaker 1: big swing on climate. What's what's been one of the

1169
01:02:15,360 --> 01:02:19,000
Speaker 1: bigger stories this year in society that Burger King could

1170
01:02:19,080 --> 01:02:23,920
Speaker 1: wade not racial justice. I mean they might wait in

1171
01:02:24,120 --> 01:02:29,800
Speaker 1: the wad or racial justice. Thank you, Burger King. I know,

1172
01:02:30,120 --> 01:02:34,160
Speaker 1: like the like the like um yeah, like the like

1173
01:02:34,240 --> 01:02:37,320
Speaker 1: they're gonna have like burgers named after slain civil rights

1174
01:02:37,480 --> 01:02:39,600
Speaker 1: icons or something like. You don't have like it doesn't

1175
01:02:39,600 --> 01:02:42,320
Speaker 1: always have to be this cringe to be part of

1176
01:02:42,360 --> 01:02:44,720
Speaker 1: the conversation, a part of the solution. It doesn't always

1177
01:02:44,720 --> 01:02:47,320
Speaker 1: have to be some sort of like top cringe to

1178
01:02:47,440 --> 01:02:50,760
Speaker 1: you campaign, Stop trying to be part of the fucking conversation.

1179
01:02:51,520 --> 01:02:55,000
Speaker 1: Just be part of the fucking solution. I don't give

1180
01:02:55,120 --> 01:02:57,960
Speaker 1: like this. Doesn't you wasted millions of dollars for what

1181
01:02:58,600 --> 01:03:00,880
Speaker 1: to just like get I don't know what that does

1182
01:03:01,000 --> 01:03:03,000
Speaker 1: for your sales, and in their minds, it's actually great

1183
01:03:03,040 --> 01:03:06,240
Speaker 1: like sort of like sort of earth restorative justice kind

1184
01:03:06,280 --> 01:03:07,960
Speaker 1: of thing we can do with this. Why don't you

1185
01:03:08,040 --> 01:03:11,040
Speaker 1: just commit to becoming carbon neutral as quickly as possible,

1186
01:03:12,480 --> 01:03:14,960
Speaker 1: because it's not I mean but again, yeah, right, the

1187
01:03:15,000 --> 01:03:19,120
Speaker 1: cynicism of like all this marketing and yeah, but it

1188
01:03:19,280 --> 01:03:22,480
Speaker 1: only ever results in negative blowback. But I guess that

1189
01:03:22,560 --> 01:03:24,640
Speaker 1: that just ends up being a second wave of you know,

1190
01:03:24,680 --> 01:03:26,480
Speaker 1: a second press cycle for them is the fact that

1191
01:03:26,560 --> 01:03:31,320
Speaker 1: they did it and the fact that everyone hates it. Yeah, yeah, yeah,

1192
01:03:31,840 --> 01:03:33,720
Speaker 1: And I guess it's just like more greenwashing. This is

1193
01:03:33,760 --> 01:03:36,800
Speaker 1: like what companies do they? There are there are like

1194
01:03:37,160 --> 01:03:41,720
Speaker 1: corporations have so much they can do to combat climate injustice,

1195
01:03:42,040 --> 01:03:44,400
Speaker 1: but it's so much easier to be like, oh, we

1196
01:03:44,560 --> 01:03:47,800
Speaker 1: have a little campaign with the yodeling kid about cow farts.

1197
01:03:48,480 --> 01:03:51,960
Speaker 1: Boom boom done. Hi, we're chlorox. We may have destroyed

1198
01:03:52,000 --> 01:03:54,080
Speaker 1: the earth with our chemicals. Can we give the Sierra

1199
01:03:54,200 --> 01:03:57,200
Speaker 1: Club a ridiculous donation so we can put their logo

1200
01:03:57,280 --> 01:03:59,240
Speaker 1: on our new green products and then you can completely

1201
01:03:59,280 --> 01:04:01,120
Speaker 1: forget what this up he has been about since time

1202
01:04:01,120 --> 01:04:04,560
Speaker 1: in memorial like that kind of cynical. It's do you

1203
01:04:04,600 --> 01:04:07,640
Speaker 1: remember like when BP was coming with their greenwashing ads,

1204
01:04:07,680 --> 01:04:10,240
Speaker 1: like right after the oil spill in the Gulf. I

1205
01:04:10,360 --> 01:04:14,520
Speaker 1: was like, Wow, we're really acting like you guys are okay,

1206
01:04:15,200 --> 01:04:18,280
Speaker 1: But it's I think for the most part though, people

1207
01:04:18,400 --> 01:04:20,440
Speaker 1: look at what's going on the TV and take that

1208
01:04:20,800 --> 01:04:22,560
Speaker 1: like a lot of this like marketing's be like Okay,

1209
01:04:22,600 --> 01:04:24,600
Speaker 1: well that's the reality. I guess they're thinking about it,

1210
01:04:24,720 --> 01:04:27,280
Speaker 1: so I don't have to and I can just can

1211
01:04:27,600 --> 01:04:31,680
Speaker 1: just eat my Mason Yodelburger's um, you know, and just

1212
01:04:31,800 --> 01:04:34,360
Speaker 1: a pivot. And it's not a it's not a real

1213
01:04:34,440 --> 01:04:37,400
Speaker 1: bad tangent. But I thought Mason's career would be a

1214
01:04:37,560 --> 01:04:40,600
Speaker 1: little bit further along than it is right now because

1215
01:04:40,720 --> 01:04:43,360
Speaker 1: he came. He was you know, I think that's the thing.

1216
01:04:43,400 --> 01:04:45,680
Speaker 1: When you go viral real quick on Twitter, it's it's

1217
01:04:45,760 --> 01:04:48,120
Speaker 1: hard to take that, you know, to the next level.

1218
01:04:48,240 --> 01:04:53,160
Speaker 1: But worry about me. I hope Mason has good parents.

1219
01:04:53,560 --> 01:04:57,480
Speaker 1: I don't. And every time I see Mason, there's just

1220
01:04:57,680 --> 01:05:00,680
Speaker 1: kind of and I start to feel a little concerned

1221
01:05:00,760 --> 01:05:03,760
Speaker 1: of like, is he okay? Are people looking out for him?

1222
01:05:05,120 --> 01:05:10,520
Speaker 1: A Burger King commercial? He's like, he's a little this

1223
01:05:10,600 --> 01:05:12,800
Speaker 1: is the thing he's doing that. I was watching that

1224
01:05:13,160 --> 01:05:18,240
Speaker 1: show Biz Kids documentary. He's like he's entering that age

1225
01:05:18,240 --> 01:05:21,480
Speaker 1: where like he's he's losing his baby face and is

1226
01:05:21,520 --> 01:05:25,200
Speaker 1: now becoming like a pubescent child. And that's when the

1227
01:05:25,240 --> 01:05:27,600
Speaker 1: industry goes, oh, look bro, like calls back when you

1228
01:05:27,640 --> 01:05:30,600
Speaker 1: grow in your face, kid, you see what happened with

1229
01:05:30,640 --> 01:05:34,720
Speaker 1: Frankie Munez from Malcolm in the Middle. Yeah, pit you out.

1230
01:05:34,960 --> 01:05:37,280
Speaker 1: I hate to see it, but I hope we'll see

1231
01:05:37,320 --> 01:05:41,720
Speaker 1: what happens to Mason Ramsey. You know, that's how far

1232
01:05:41,840 --> 01:05:45,560
Speaker 1: he's come, how far he has come. All right, well, Bridget,

1233
01:05:45,640 --> 01:05:48,160
Speaker 1: thank you so much for joining us on the Daily SAT. Guys,

1234
01:05:48,240 --> 01:05:51,560
Speaker 1: it's always an honor to have you. Please come back

1235
01:05:51,600 --> 01:05:53,440
Speaker 1: again and again and again. We always love having you.

1236
01:05:54,400 --> 01:05:56,400
Speaker 1: I'm such an honor to be here. I will be back.

1237
01:05:57,520 --> 01:05:59,640
Speaker 1: And before you go, please tell people where they can

1238
01:05:59,680 --> 01:06:04,040
Speaker 1: find you and follow you, maybe listen to your new show. Well,

1239
01:06:04,080 --> 01:06:05,680
Speaker 1: I'm glad that you asked. If you want to hear

1240
01:06:05,720 --> 01:06:08,080
Speaker 1: my new podcast, it is on I Heart Radio. You

1241
01:06:08,120 --> 01:06:11,000
Speaker 1: can find that on Apple Podcasts, Spotify, orever you get

1242
01:06:11,000 --> 01:06:13,920
Speaker 1: your podcast. It's called There Are No Girls on the Internet. Um,

1243
01:06:14,160 --> 01:06:17,040
Speaker 1: if you are listening to this on Monday, it's probably

1244
01:06:17,040 --> 01:06:19,440
Speaker 1: still on your new Noteworthy on Apple Podcasts. Will check

1245
01:06:19,480 --> 01:06:24,000
Speaker 1: it out. It explores the intersections of gender, race, marginalized identities,

1246
01:06:24,120 --> 01:06:26,520
Speaker 1: and all things online. So please check it out. And

1247
01:06:26,600 --> 01:06:28,800
Speaker 1: I don't think of a better person to guide us

1248
01:06:28,840 --> 01:06:31,160
Speaker 1: through that than you bridge it. So, yeah, if you

1249
01:06:31,280 --> 01:06:33,640
Speaker 1: if you like this, show. Uh, then you have to

1250
01:06:33,680 --> 01:06:35,800
Speaker 1: listen to Bridget show. That's just the rules. If you

1251
01:06:35,920 --> 01:06:39,680
Speaker 1: like an order. Feminism is the law now, and then

1252
01:06:39,800 --> 01:06:44,360
Speaker 1: also so is my podcast. Show me some, show me

1253
01:06:44,400 --> 01:06:46,800
Speaker 1: some of the metrics, and I'll know if our entire

1254
01:06:46,880 --> 01:06:48,680
Speaker 1: audience did a migrant, I can do them. I'll do

1255
01:06:48,760 --> 01:06:52,560
Speaker 1: some substract subtraction and shame oils like, yeah, yeah, it's

1256
01:06:52,560 --> 01:06:56,080
Speaker 1: your supports. It's really, I think a very important topic

1257
01:06:56,160 --> 01:06:58,120
Speaker 1: right now too, especially when you consider some of the

1258
01:06:58,320 --> 01:07:01,200
Speaker 1: feedback you've been getting from just anonymous people like read

1259
01:07:01,240 --> 01:07:04,320
Speaker 1: the thing and they're like, what are you about? Yeah,

1260
01:07:04,400 --> 01:07:06,640
Speaker 1: it's funny. People really out there are some people out

1261
01:07:06,680 --> 01:07:09,520
Speaker 1: there that really don't like when whiteness and maleness are

1262
01:07:09,600 --> 01:07:13,040
Speaker 1: decentered in conversation. So you know, we want all listeners,

1263
01:07:13,240 --> 01:07:16,440
Speaker 1: so you know, everybody can benefit from hearing the history

1264
01:07:16,640 --> 01:07:19,560
Speaker 1: and the stories of marginalized people. So come one, come all,

1265
01:07:19,800 --> 01:07:22,320
Speaker 1: all right? Uh? And is there a tweet that you

1266
01:07:22,480 --> 01:07:24,760
Speaker 1: like or other social media act that you want to

1267
01:07:24,760 --> 01:07:28,360
Speaker 1: shout out? Well, you can follow me on Instagram at

1268
01:07:28,400 --> 01:07:30,320
Speaker 1: Bridget Marie and DC. You can follow me on Twitter

1269
01:07:30,400 --> 01:07:33,000
Speaker 1: at Bridget Marie. And a tweet that I loved came

1270
01:07:33,120 --> 01:07:36,000
Speaker 1: from Ian Carmel. This is when all of the verified

1271
01:07:36,040 --> 01:07:38,920
Speaker 1: accounts were being locked on Twitter because of the Twitter

1272
01:07:39,000 --> 01:07:42,040
Speaker 1: hacks that happened last this week, and he said verified

1273
01:07:42,080 --> 01:07:44,360
Speaker 1: accounts weren't locked out of Twitter. We were all getting

1274
01:07:44,400 --> 01:07:46,880
Speaker 1: the vaccine early because we're better and more valuable than

1275
01:07:46,920 --> 01:07:49,920
Speaker 1: you pathetic insects who didn't write three articles for BuzzFeed

1276
01:07:50,120 --> 01:07:57,840
Speaker 1: or appear on Comedy Central ones or our general mills seed. Man.

1277
01:07:57,920 --> 01:08:00,440
Speaker 1: There are times when I go, I used to man,

1278
01:08:00,600 --> 01:08:02,680
Speaker 1: when the blue check used to mean something like five

1279
01:08:02,760 --> 01:08:05,080
Speaker 1: years ago to me, and I would always be like,

1280
01:08:05,240 --> 01:08:08,200
Speaker 1: what the fun you can get it just for doing that?

1281
01:08:09,840 --> 01:08:13,120
Speaker 1: I picture like a one time and why t o

1282
01:08:13,440 --> 01:08:16,000
Speaker 1: ed person like shaking their fists, being like, the blue

1283
01:08:16,120 --> 01:08:19,720
Speaker 1: check used to mean something in this down check in

1284
01:08:19,840 --> 01:08:23,160
Speaker 1: my day. First of all, before you tell me that

1285
01:08:23,320 --> 01:08:25,840
Speaker 1: my reservation didn't go through for this table, um, I'm

1286
01:08:25,840 --> 01:08:27,920
Speaker 1: just gonna show you my Twitter account. Look next to

1287
01:08:28,000 --> 01:08:31,680
Speaker 1: my avatar, which a blue fucking check. You don't look

1288
01:08:31,720 --> 01:08:35,439
Speaker 1: at the number of followers, just look at the check, sir.

1289
01:08:35,560 --> 01:08:38,040
Speaker 1: You only have four followers. I have a blue check.

1290
01:08:38,120 --> 01:08:42,040
Speaker 1: Though I have blue check. See that's a difference. Okay, Um, Jamie,

1291
01:08:42,040 --> 01:08:44,000
Speaker 1: where can people find you, follow you, listen to you,

1292
01:08:44,280 --> 01:08:47,240
Speaker 1: and what's treat you like? You can follow me on

1293
01:08:47,360 --> 01:08:51,400
Speaker 1: Twitter at Jamie Lofts Help, Instagram at Jamie Carr Superstar,

1294
01:08:51,760 --> 01:08:55,040
Speaker 1: listen to the beach Del Cast. And I'm going to

1295
01:08:55,200 --> 01:08:58,360
Speaker 1: just give a quick shout out to a hometown hero

1296
01:08:58,720 --> 01:09:03,880
Speaker 1: who passed away it this week. So there's losses everywhere. Gang, stay,

1297
01:09:04,000 --> 01:09:08,320
Speaker 1: stay vigilant, protect your protect your people. Uh, my elementary

1298
01:09:08,320 --> 01:09:12,080
Speaker 1: school principle and my mom's boss passed away this week.

1299
01:09:12,240 --> 01:09:16,000
Speaker 1: His name was Brian Rogan. He was the best. He was, Um,

1300
01:09:16,280 --> 01:09:20,160
Speaker 1: and so that's something that my community at home has

1301
01:09:20,200 --> 01:09:24,280
Speaker 1: been dealing with. And UM, they're encouraging people to check

1302
01:09:24,320 --> 01:09:28,280
Speaker 1: out the Brocton Educational Foundation and route donations there if

1303
01:09:28,320 --> 01:09:30,880
Speaker 1: you're feeling so inclined. He was the best. We're all

1304
01:09:30,920 --> 01:09:35,080
Speaker 1: really sad and so r I P Mr Rogan. Oh Man, Yeah,

1305
01:09:35,200 --> 01:09:39,680
Speaker 1: rest in peace? Oh um? Is there what else? I

1306
01:09:39,720 --> 01:09:42,360
Speaker 1: guess I got to talk about some some some of

1307
01:09:42,439 --> 01:09:45,040
Speaker 1: the nonsense I like. Okay, well, first, you can find

1308
01:09:45,120 --> 01:09:49,280
Speaker 1: me on Twitter and Instagram and PlayStation Network. Sometimes I've

1309
01:09:49,320 --> 01:09:53,360
Speaker 1: been gaming as much because life at Miles of Gray

1310
01:09:53,920 --> 01:09:56,320
Speaker 1: and also if you like ninety Day fiance and just

1311
01:09:56,439 --> 01:09:59,439
Speaker 1: want to hear two stoners just rant about their favorite

1312
01:09:59,439 --> 01:10:02,559
Speaker 1: reality show. Check out my other podcast for twenty day Fiance,

1313
01:10:03,040 --> 01:10:05,400
Speaker 1: because that's just all ninety day talk um. Now some

1314
01:10:05,479 --> 01:10:08,080
Speaker 1: tweets that I like. First is from my co host

1315
01:10:08,120 --> 01:10:13,639
Speaker 1: actually fiance, Sophia Alexandra at the Sophia. She tweeted quote

1316
01:10:13,720 --> 01:10:16,120
Speaker 1: Jews control the media, and she says, we don't even

1317
01:10:16,200 --> 01:10:21,200
Speaker 1: control you. Putting cinnamon and raisins in bagels Greg an

1318
01:10:21,240 --> 01:10:25,479
Speaker 1: important fact. Another one from another just you know, legendary

1319
01:10:25,520 --> 01:10:28,360
Speaker 1: guests on the show, Lacey Moseley at Diva Lacey, she says,

1320
01:10:28,439 --> 01:10:31,360
Speaker 1: I love that gen Z talks about millennial's economic progress

1321
01:10:31,520 --> 01:10:33,120
Speaker 1: like they aren't about to pay a hundred k for

1322
01:10:33,200 --> 01:10:40,479
Speaker 1: Zoom University. And the last one it's so funny. And

1323
01:10:40,960 --> 01:10:43,320
Speaker 1: the last one at SNY read s N y y

1324
01:10:43,479 --> 01:10:45,719
Speaker 1: R A D. I don't know. I just the reading

1325
01:10:45,760 --> 01:10:47,680
Speaker 1: of it out loud just made me laughing. Just said,

1326
01:10:47,960 --> 01:10:52,960
Speaker 1: now you fifteen years old, and yeah, I don't know.

1327
01:10:54,439 --> 01:11:00,519
Speaker 1: I just for whatever that reason, I'm like, yeah, how Mason, Yeah,

1328
01:11:02,160 --> 01:11:06,280
Speaker 1: for yourself. You can find us the show at dailies,

1329
01:11:06,280 --> 01:11:08,120
Speaker 1: like guys on Twitter at the dailies like us on

1330
01:11:08,600 --> 01:11:10,800
Speaker 1: geist on Instagram. We have a Facebook fan page and

1331
01:11:10,960 --> 01:11:12,800
Speaker 1: a website dailies like guys dot com, Worry post our

1332
01:11:12,840 --> 01:11:17,720
Speaker 1: episodes and our foot nords. Thank You're cheese right where

1333
01:11:17,760 --> 01:11:20,080
Speaker 1: we pushed all episodes and the songs we brought at

1334
01:11:20,160 --> 01:11:24,080
Speaker 1: on today. He's no different. This is a trick by Cornelius.

1335
01:11:24,160 --> 01:11:27,960
Speaker 1: He's a Japanese beat maker from probably the nineties actually,

1336
01:11:28,680 --> 01:11:31,599
Speaker 1: but it's from his album called Fantasma and the trick

1337
01:11:31,800 --> 01:11:34,560
Speaker 1: is called Mike chick Um and it's I don't know,

1338
01:11:34,640 --> 01:11:37,080
Speaker 1: it's got like it reminds me of DJ Shadow or

1339
01:11:37,200 --> 01:11:39,880
Speaker 1: like to cut Chemists Newmark tracks that are like on

1340
01:11:39,920 --> 01:11:44,240
Speaker 1: a Jurassic five album. But it's cool because it's really

1341
01:11:44,280 --> 01:11:46,680
Speaker 1: interesting Mike check sample that. I think he's actually just

1342
01:11:46,840 --> 01:11:50,960
Speaker 1: voicing himself the whole album. He really kind of a trippy,

1343
01:11:51,720 --> 01:11:54,960
Speaker 1: uh like sample based trip um and it's always interesting,

1344
01:11:55,160 --> 01:11:59,479
Speaker 1: like like Japanese sample based producers. I'm always interested in

1345
01:12:00,160 --> 01:12:03,800
Speaker 1: shut up to people. Okay, we're gonna write out on that.

1346
01:12:04,720 --> 01:12:07,360
Speaker 1: I guess we'll see y'all later today talk about what's trending.

1347
01:12:07,439 --> 01:12:14,080
Speaker 1: Until then, Peace and blessings and goodbye, uh Squire by

1348
01:12:16,240 --> 01:12:20,320
Speaker 1: my kid Bike Sick On Bikes, Tig On Top Bike,

1349
01:12:20,479 --> 01:12:24,439
Speaker 1: Chick Bike, Kick Up Bikes, Big Mike Bike, Dick I'm

1350
01:12:24,600 --> 01:12:28,679
Speaker 1: Up Bike, Ick, Big I'm Bike, Bike Bike Bike, Kig

1351
01:12:29,600 --> 01:12:34,559
Speaker 1: bikeig Bike, Kick Up Bike, Day Bike Bike, Kick Mike,

1352
01:12:35,280 --> 01:12:41,679
Speaker 1: My Kid, Big Mike Bike, gig Bike, Kick Bike, jig Bike,

1353
01:12:41,840 --> 01:12:45,720
Speaker 1: Jig on Bike, Jack Bike Bike, Chick Bike, Kick on

1354
01:12:46,240 --> 01:12:48,080
Speaker 1: Bike Bikeig b