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Speaker 1: Hello the Internet, and welcome to Season to nineteen, episode

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Speaker 1: two of US, the production of I Heart Radio. Now.

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

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Speaker 1: into America's shared consciousness. It is Tuesday, January eleven, but

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Speaker 1: which of course means that it is National Milk Day,

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Speaker 1: National step in a puddle and splash her friends Day,

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Speaker 1: which is every day as far as I'm concerned, but

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Speaker 1: National Milk Day. Al Right, okay, whatever, Well, my name

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Speaker 1: is Jack O'Brien, speak of National Milk Day. Ak. My

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Speaker 1: mixed drink brings all the boys to the yard, and

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Speaker 1: they're like mountain deer diet coke, and I'm like a

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Speaker 1: little bit of both. Damn right. It's a little bit

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Speaker 1: of both. That is courtesy Apo Moran in reference to

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Speaker 1: my favorite mixed drink, which is mountain dew and diet

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Speaker 1: coke mixed together. And I'm thrilled to be joined as

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Speaker 1: always buy my co host, Mr Miles Grass. It's my

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Speaker 1: Les Gray a k Dale NoHo one more time, just

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Speaker 1: bringing that Valley pride. I saw a TikTok or move

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Speaker 1: to uh one of my near my old neighborhood and

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Speaker 1: spent like millions of dollars on the house and I

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Speaker 1: can't believe the world is changing like it is. But

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Speaker 1: either way, shout out to North Hollywood. Shot at the Valley,

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Speaker 1: Shot at eight one eight people all across the build

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Speaker 1: words yeah yeah, And we are thrilled to be joined

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Speaker 1: in our third seat by a very funny comedian who's

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Speaker 1: written for Good Mythical Morning Practice, Doctress and Brackmire. You

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Speaker 1: can hear her on her podcast You Can Tell Me Anything,

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Speaker 1: and on her debut comedy album We're Still Doing This.

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Speaker 1: It's one of our favorite guests on t v Z,

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Speaker 1: one of your favorite guests. Please welcome the brilliant and

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Speaker 1: talented Teresa Lee. Go go. Where's my test today? I've

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Speaker 1: isolated five days. I like it now or ever, where's

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Speaker 1: my test today? I took the bay I ordered on

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Speaker 1: FedEx Sunday, but I never got it in the mail.

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Speaker 1: What the funk? L A, Okay, that's I wrote that

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Speaker 1: just now, but it's already won over a week ago

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Speaker 1: and I did not get it, and I went in person.

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Speaker 1: I took one and I was negative, but I still

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Speaker 1: haven't got my home test. Yeah, well, you know it's uh.

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Speaker 1: I don't know why this country can do so many

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Speaker 1: things except the just the real simple ship like a test.

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Speaker 1: I think they're still building the government too. We've given

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Speaker 1: somebody tests, yeah exactly. Just had to buy masks for

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Speaker 1: our kids, so like and masks with dinosaurs on them,

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Speaker 1: and they are so fucking expensive. It's like, yo, they

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Speaker 1: should The government is sending these out to everyone. On

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Speaker 1: top of making it really clear that ninety five is

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Speaker 1: pretty much what they're all saying is like you should

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Speaker 1: you need to do surgical or better, don't work around

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Speaker 1: with cloth masks with a macron because it's, uh, this

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Speaker 1: is this isn't this is this? Ain't it? The school

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Speaker 1: will accept nothing less at this point. And yeah, I

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Speaker 1: mean it makes like other countries out are shipping like

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Speaker 1: they'll just ship you test regular release, so you have

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Speaker 1: to take it before you even order it. It's like

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Speaker 1: we're like, I don't know just what you mushrooms again?

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Speaker 1: You trip in hallucinating stuff in that country that's sending

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Speaker 1: people tests. A funny you say that I did do

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Speaker 1: mushrooms and go to see the Enchanted Force of Light

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Speaker 1: this weekend. Oh it's fun. It was really nice after

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Speaker 1: I got my negative tests. Is that in this cancel? Yeah? Yeah,

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Speaker 1: that's that's just slept on botanical garden. Yeah, I mean

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Speaker 1: it's really it really did feel like because at first

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Speaker 1: I was like this is really wholesome, but I'm like,

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Speaker 1: this is probably the part when I get dragged to

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Speaker 1: festivals that I like anyways, the like lights and pretty flowers,

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Speaker 1: it's like I don't like the loud music or the people.

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Speaker 1: So I mean, I know I like the people. Some

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Speaker 1: people like that. I I don't like crowds, not like

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Speaker 1: specifically hate everyone, but but you go to these like

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Speaker 1: gardens and it's like very family friendly, cute flowers and

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Speaker 1: you can just roam around and just enjoy and kind

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Speaker 1: of get lost, and like this is dies like why

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Speaker 1: this has slept on? For sure? Yeah, that is one

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Speaker 1: of the handful of events that I went to that

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Speaker 1: I brought my kids to and desperately wished that I

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Speaker 1: had been on mushrooms. Well was there that did you go?

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Speaker 1: You went recently to, like a year ago or two

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Speaker 1: years ago? Yeah? That dis cancels always where people go

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Speaker 1: to take like their family photos to like you always

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Speaker 1: see people doing like first birthday photos and ship like

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Speaker 1: it would always be like a child who is incapable

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Speaker 1: of sitting still for a photo and they're like a

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Speaker 1: guy with six cameras and like stressed out of parents,

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Speaker 1: and I'm like, there's that's always a mainstay at dis

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Speaker 1: canceled Card. No, it's just a good place to let

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Speaker 1: them run. It's funny to watch the photos being taken

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Speaker 1: at something like that because you really can see where

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Speaker 1: there's different like agendas of people who have come together

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Speaker 1: then make that event. Like you see the pr girls

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Speaker 1: work in the like giant drink cabin and it's all

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Speaker 1: lit up with a flancy arrow and like sparkling lights,

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Speaker 1: and then there's like you know, very easy to read

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Speaker 1: signs are like go this way for the like you know,

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Speaker 1: fairy fairy lights are like you know, two lips. And

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Speaker 1: then like behind in the dark there's like in actual

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Speaker 1: like probably the botanists or the scientists who actually like

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Speaker 1: spend the tax dollars to make it. It's like really

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Speaker 1: dense writing and it's all in the dark, covered by leaves.

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Speaker 1: It's like you want to learn about trees and you

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Speaker 1: have to like go off the like it's not even lit.

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Speaker 1: It's like nobody wants to learn about tree yea, And

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Speaker 1: all the photos are just being taken in the light

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Speaker 1: and like the cool gast flowers are in the corner,

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Speaker 1: like we are cool too, Like nobody wants to look

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Speaker 1: at them. One of the few places where the oak

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Speaker 1: coverage is expanding naturally in l A County. You're like, yeah, yeah, yeah, yeah, yeah,

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Speaker 1: where's the hot chacolate? Yeah, that's right, all right, Theresa.

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Speaker 1: Weird to get to know you a little bit better

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

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Speaker 1: few of the things that we're talking about today. We're

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Speaker 1: talking about what what's going on with the mandates. Why

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Speaker 1: isn't Biden doing anything about those mandates? I have no

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Speaker 1: no clue, can't can't possibly guess, nor can I guess

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Speaker 1: why Florida having a low death rate in context of

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Speaker 1: how high their hospitalizations are. That continues to be a story,

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Speaker 1: even though we know that they are hacking their numbers,

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Speaker 1: they are just not letting the death the deaths be reported. Essentially,

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Speaker 1: we'll talk a little bit more about it. We we

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Speaker 1: talked about it last year, and like how they're basically

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Speaker 1: delaying any death, like the people calling a death a

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Speaker 1: COVID death until like two weeks after it happened, and

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Speaker 1: then that death only gets reported four two weeks ago.

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Speaker 1: So instead of being like, okay, now that it's been called,

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Speaker 1: we count that as a death today, it doesn't get

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Speaker 1: counted as death today. It gets counted as death two

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Speaker 1: weeks ago. And it's just a blatant like plan to

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Speaker 1: hack the way the mainstream media reports COVID stats. And

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Speaker 1: wouldn't you know it, the front page of MSN dot

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Speaker 1: com head the headline Florida's COVID cases and hospitalizations are surging,

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Speaker 1: but the state has the second lowest death rate in

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Speaker 1: the nation. What's going on? And then doesn't Yeah, it

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Speaker 1: doesn't tell the truth until like three paragraphs, and so

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Speaker 1: we'll talk about that. Uh, we're gonna talk about it's

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Speaker 1: Girl Scout cookie season. It's upon us and the you know,

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Speaker 1: there's two cookies that were new last year that are holdovers,

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Speaker 1: adventure Fuls and toast yeahs toast, Yeah, it's a play

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Speaker 1: on toast. They say it's a play on toast. E h,

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Speaker 1: that doesn't that's not how we're playing works though, right,

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Speaker 1: Like yeah, anyways, they're like French toasts and adventure foles

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Speaker 1: are chocolate caramel to kick concoctions cocaine users breakfast. Yes,

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Speaker 1: so we're gonna talk about that, and the fact that

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Speaker 1: depending on where you live, there two very different Girl

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Speaker 1: Scout cookie manufacturers that make cookies, both with different names

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Speaker 1: and also like different totally different like concepts, and in

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Speaker 1: one case, the s'more cookies, like they don't look at

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Speaker 1: anything alike. Oh, I feel like I vaguely this is

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Speaker 1: a conspiracy we used to have, like as Girl Scouts

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Speaker 1: were like why are they called different things in different places?

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Speaker 1: And that's a mystery, but we we didn't know back

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Speaker 1: in the day. Yeah, no, legit. I was like, the

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Speaker 1: Girl Scouts have gotten rid of or they've changed the

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Speaker 1: names of Samoa's too, Caramel Delights. I was the Karma

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Speaker 1: Delight girl. I was like what, I was so confused,

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Speaker 1: And then peanut butter Patty instead of tag along. Yeah,

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Speaker 1: it's I always assumed they were at some phase of

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Speaker 1: like at some stage of phasing one out and adding another.

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Speaker 1: End turns out, nope, there's just two different manufacturers to

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Speaker 1: make different cookies. Even the thin Mint is like pretty

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Speaker 1: wildly different. So we'll we'll talk about that all of

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Speaker 1: that plenty more. But first, Teresa most importantly, we do

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Speaker 1: like to ask our guests, what is something from your

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Speaker 1: search history? Oh yeah, I searched this this morning because well,

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Speaker 1: I searched how to replace a previous key battery because I,

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Speaker 1: as you know, I went to the Disconnot Gardens this weekend,

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Speaker 1: but as you did not know, I lost my backpack

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Speaker 1: on the lift home, as I can only imagine, which

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Speaker 1: is okay. I mean, it was annoying, but I what

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Speaker 1: I realized. The best thing about losing everything in the

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Speaker 1: New Year's it's kind of like just zero some m

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Speaker 1: You're like, hey, it just pretend it happened last year,

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Speaker 1: and it's like it doesn't matter. Yeah, you know, it's

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Speaker 1: like a new star reset. It's fine. But then in

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Speaker 1: the backpack was my keys as well, and so I

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Speaker 1: had to come back to my place to get my

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Speaker 1: spare key. It was the whole thing turned out did

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Speaker 1: not have battery. Went to CBS, bought the battery that

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Speaker 1: the Google said was the wrong battery. So life's going

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Speaker 1: well right out. But you know, somebody got to go

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Speaker 1: to a dealership or some ship to get that ship.

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Speaker 1: I'll probably no, I think I can go to yes, possibly,

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Speaker 1: but I think I have to go to um like

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Speaker 1: home Depotion and get the right battery. They didn't have

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Speaker 1: it a TVs. I your car is still there. No,

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Speaker 1: so I was able to like manually open it. But

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Speaker 1: it's the smart it's this is so boring, but the

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Speaker 1: smart lot, Like in order to turn it on, I

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Speaker 1: have to like press, press it visit manually instead of

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Speaker 1: like you have to p there's a way to do it.

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Speaker 1: You press the key to the button and then pressed

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Speaker 1: the brain. Yeah, what kind of battery you working with? Their?

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Speaker 1: Well I two and it was wrong. I guess I've

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Speaker 1: turned into like a fifty year old just like what

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Speaker 1: kind of entire size which I'm on that I have

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Speaker 1: to say, I'm desperately interested in, Like you talking, are

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Speaker 1: you in the car? Are you in car mode? Now? No?

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Speaker 1: I just I figured out how to change my keys

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Speaker 1: batteries and so it's like the hand the one handy

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Speaker 1: thing I've done in the last few months. It is

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Speaker 1: a rush though I didn't realize like all this stuff,

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Speaker 1: like how you know the stereotype like girls do crafts,

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Speaker 1: guys do cars, But then when you actually break it down,

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Speaker 1: it's the same feeling like when you're starting to open

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Speaker 1: up a thing and fix it. I'm like, this reminds

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Speaker 1: me of so like I'm like this, it was like

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Speaker 1: it brings me back to arts and crafts. And now

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Speaker 1: I'm like I understand why, like guys like to work

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Speaker 1: on electronics because it's sort of like taking care of

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Speaker 1: something that won't die. You can't hurt it. Really, you know,

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Speaker 1: it's a battery for all this battery replacement talker, tell

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Speaker 1: me why my mazdaki has not had a battery since

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Speaker 1: we started this podcast. Wow, I've been taking out like

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Speaker 1: the opened the door, then I gotta press my button

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Speaker 1: on the ignition and whenever I have I'm in a

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Speaker 1: valet situation and taking like fifteen miss like look, bro,

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Speaker 1: the batteries that you gotta touch it to this thing

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Speaker 1: or it's not gonna start. Like yeah, we get it,

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Speaker 1: your lazy piece of ship. And I haven't changed it

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Speaker 1: in ages. And then the pandemic happened. I'm like, well,

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Speaker 1: what the fund does it matter? And I find myself

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Speaker 1: in the same place now. So you've inspired me to

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Speaker 1: perhaps change this myself and to move on to But

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Speaker 1: you've actually given yourself this interesting moment because by waiting

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Speaker 1: so long, you're almost gifting yourself this like really like

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Speaker 1: when I have things I want to do list that

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Speaker 1: last way too long, it becomes that's the new norm,

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Speaker 1: you know, like how you side forever, it's you get

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Speaker 1: to go. Yeah, if you get to just once open

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Speaker 1: your car door without like the old old way again,

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Speaker 1: it's gonna feel like ten times better than if you

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Speaker 1: had changed that battery a year ago, you know what

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Speaker 1: I mean. And now it's gonna make your whole week.

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Speaker 1: It makes people fucking nervous because like they see me

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Speaker 1: like going through like I'm at the grocery store, be

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Speaker 1: like a white woman or a car, and I'm like

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Speaker 1: going through my pockets like let me get my ship

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Speaker 1: real quick because I don't have I can't just hit

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Speaker 1: the button opening and they're always like looking at me

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Speaker 1: like it's a key and I'm open, thank you. But yeah,

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Speaker 1: there's there there are physical emotions to it that I

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Speaker 1: realized are like we're kind of in certain aspects we

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Speaker 1: don't we've moved forward from like unlocking a car with

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Speaker 1: your key. It feels like something for strange, the working people,

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Speaker 1: not the elevated folks West Hollywood. Yeah, I have a

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Speaker 1: theory that the reason you haven't done. That is because

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Speaker 1: like having kids provides you with so many moments of

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Speaker 1: boredom that you like think, you like make to do

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Speaker 1: lists and ship and that's the only right because that

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Speaker 1: that is Anyone who knew me before I had kids

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Speaker 1: would tell you that like having no batteries and a

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Speaker 1: key or having the lights out in like every room

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Speaker 1: of my house except one was like the sort of

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Speaker 1: ship that I would just my brain would just be like, okay,

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Speaker 1: so we don't have lights in here now, but I

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Speaker 1: think the boredom parenthood, yeah, in order to But you're

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Speaker 1: saying you're board from having a child. It's so having

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Speaker 1: would your wife feel about this statement? Because I feel

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Speaker 1: like a bared kids. You're constantly taking care of the kids,

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Speaker 1: but there's also like you're doing it and then like

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Speaker 1: they are playing or you know, asking you a question

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Speaker 1: every like ten minutes. But it's it's a lot of

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Speaker 1: like you have to be there, you have to be

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Speaker 1: with them, you have to be like ready to answer

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Speaker 1: a question or like you know, put a band aid

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Speaker 1: on something. But a lot of it is just your

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Speaker 1: brain is like so standby. I feel like it's a

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Speaker 1: drastically different experience, like even when both parents are as involved,

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Speaker 1: Like I think the mother brain is just wired in

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Speaker 1: a way. Because I had this convo with my boyfriend

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Speaker 1: because he sometimes watches my dog, and when my dog

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Speaker 1: is over, I'm the only one who takes about in

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Speaker 1: the morning, and I was like, I think he needs

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Speaker 1: to pee, and he's like, now he's good. Like no,

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Speaker 1: it's like if we leave now, it's it's gonna be

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Speaker 1: like six hours before we come back. And and then

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Speaker 1: in his mind he's like, well, when he stays over

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Speaker 1: with me, he's always good. I'm like, yeah, that's because

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Speaker 1: it's like one day at a time. I was like, oh,

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Speaker 1: it's Grandma's house. And I'm like, now, imagine if you

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Speaker 1: had him for a whole month, Like he's gonna be

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Speaker 1: waking up at seven am, like every morning. I have

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Speaker 1: to do this every day. There's not a day off.

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Speaker 1: You don't get a prize because you remember to do

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Speaker 1: it once. It's just like, yeah, this is just your life.

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Speaker 1: I'm like, if we have kids, you're gonna be like

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Speaker 1: I changed a diaper. I'm good for a month now, right,

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Speaker 1: I'm like, I think the baby needs the diapers. Now,

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Speaker 1: they're good. They're it happens every couple of hours. You

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Speaker 1: what's his name? What's his name? Bitcoin? Wow, okay, this

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Speaker 1: makes sense. Now what is what something you think is overraged? Oh? Okay,

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Speaker 1: this is a real basic. But I think strawberries because

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Speaker 1: I was eating one strawberries. I always buy raspberries. I'm

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Speaker 1: a raspberry gout. I don't know. Strawberries are everywhere. I'm

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Speaker 1: not saying they're not good. I'm just saying they're like

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Speaker 1: they have way too much type everything strawberries, strawberry showerry.

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Speaker 1: You put them on pancakes. Raspberries are better. And I

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Speaker 1: actually got strawberries. They look good. I cut them up.

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Speaker 1: They're just fine. Like I see your face, Miles, and

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Speaker 1: I acknowledge. It's more like because I think I don't

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Speaker 1: I don't really have a berry in this fight. But

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Speaker 1: I know that they're always better when it's hotter. That's

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Speaker 1: the one thing. Like whenever you get in the winter,

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Speaker 1: the strawberries aren't as good than they are like when

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Speaker 1: it's warmer, because I know, because what most of our

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Speaker 1: strawberries in California grown in California. Anyway, It's like the

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Speaker 1: real prime time is like in fed like starts in

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Speaker 1: February or something. That's a good Yeah, that's a good point.

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Speaker 1: Like I feel like we have gotten to a point

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Speaker 1: where we just expect every fruit to be in season

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Speaker 1: all the time. The only season that I'm aware of

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Speaker 1: is easy season. Easy seasons of course, but like in

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Speaker 1: terms of produce, also easy season. I do love easy

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Speaker 1: produced but peaches. Peaches are drastically different. For less a

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Speaker 1: month in the summer, like in like July August, they're

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Speaker 1: just like holy shit, and then every other time it's

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Speaker 1: just like but I agree. Like strawberries, I probably don't

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Speaker 1: pick close enough attention to them, but especially like there's

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Speaker 1: nothing worse than like a chunk of frozen strawberry, as

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Speaker 1: opposed to if you get like a frozen raspberry or something.

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Speaker 1: It's like having a treat, but a chunk of frozen strawberries.

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Speaker 1: Like I have a good strawberries, but just in general,

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Speaker 1: the ones that grocery store and perhaps I'm not chopping

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Speaker 1: in the right season, but the best ones I've ever

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Speaker 1: had where like in Japan, where they don't they're not

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Speaker 1: like engineer and they look not that sweet, but they're

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Speaker 1: they're small and almost like not red, but they're really sweet.

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Speaker 1: The ones you look red and huge and they just

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Speaker 1: taste like fine. Right. There's actually a really good New

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Speaker 1: Yorker article about the picking of berries and like how

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Speaker 1: they haven't been able to fully like robotize it yet

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Speaker 1: that they do talk about how the entire like evolution

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Speaker 1: of strawberries has been towards big, bright red and and

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Speaker 1: like regardless of taste. Yeah, they just like don't take

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Speaker 1: taste on it because it's all about, like people, what

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Speaker 1: is going to look best to people in the produce as.

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Speaker 1: I think that's probably a uniquely America. That's that's why

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Speaker 1: I like a good farmers market, because they're not gonna

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Speaker 1: fun like they're gonna tell you straight up. They're like

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Speaker 1: no, no no, no, I would wait on those. They're like,

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Speaker 1: I mean, if you need strawberries or something, you can

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Speaker 1: get those, Like these apples are better right now, you know,

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Speaker 1: unless how you start learning the waves, man, apples stay good.

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Speaker 1: I love I love app Okay apple? Gang? Oh wow

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Speaker 1: that apple? Or did you are you done with that?

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Speaker 1: How how close to the court there? No, No, this

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Speaker 1: is an all day process, I was saying. I always

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Speaker 1: talk about one of my earliest memories of driving the

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Speaker 1: car with My dad used to have this Toyota truck

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Speaker 1: is like work trug. It was fucked up and it

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Speaker 1: would have apple cores all on the dash board and

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Speaker 1: in various like states of being dehydrated by the California

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Speaker 1: l a son. And my mom would always be so

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Speaker 1: mad at him for having all his apple all these

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Speaker 1: apple cores and car taking me to school and ship

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Speaker 1: and he's like, I guess fine, it's apples. I eat

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Speaker 1: apples a day. I remember him eating them to the

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Speaker 1: fucking core, like and I remember the first time I

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Speaker 1: had apple. I tried to get there and I'm like,

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Speaker 1: this is this is too intense. I can't get down

360
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Speaker 1: like that. Yeah did they ever sprout? No? No, they

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Speaker 1: would just turn brown and like you know, sound like

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Speaker 1: a like fucking like a dish sponge. Yeah, smells start

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Speaker 1: smelling like some some form. Yeah, exactly. What is something

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Speaker 1: you think is underrated? Teresa? Okay, I think this is

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Speaker 1: like gonna sound strange, but I shall explain. Okay, I

366
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Speaker 1: underrated just like baggage like can like but people with

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Speaker 1: baggage as adults. And I would go even so far

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Speaker 1: as to say, like this is because I was reacting

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Speaker 1: to how we're obsessed with you and like having like

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Speaker 1: you know, like over sexualizing sort of being young and

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Speaker 1: pure and innocent. And I'm like, I really, the more

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Speaker 1: I think about it, the more I'm like, you know,

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Speaker 1: what's actually fun? It's like consensual adult sex with baggage,

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Speaker 1: you know what I mean. Like that's the opposite and

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Speaker 1: what you would think when they're selling like, oh my god,

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Speaker 1: pure innocent. But it's like I think that that's the

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Speaker 1: most fun when two people, you know what I mean,

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Speaker 1: like two people who are working on themselves. I'm not like, oh,

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Speaker 1: I hate my baggage, but like two people with baggage

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Speaker 1: who are like, hey, I did the work and now

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00:20:30,680 --> 00:20:35,040
Speaker 1: we're adults, and we're also like, I mean that is it?

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Speaker 1: Is it baggage? Right? Because you're talking about like what's

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Speaker 1: better than self aware of people being passionate and up

384
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Speaker 1: like you know, but that's not what we're being told.

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Speaker 1: We're being sold like the idea of like oh, like

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Speaker 1: the innocent and pure and like that's actually kind of

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Speaker 1: annoying to be honest, like you know, let the kids

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Speaker 1: have their innocence, but like that's annoying. I don't want

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Speaker 1: to be around someone immature, and so I think we

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Speaker 1: should start actually marketing, like just like you know, our

391
00:21:01,400 --> 00:21:04,320
Speaker 1: icons are sports illustrated models should just straight up be like,

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Speaker 1: I'm a mother divorce and I also am in therapy,

393
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Speaker 1: so it's like, woo, isn't that hot? Like that should be.

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Speaker 1: It's like dad didn't reach out till my first magazine cover.

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Speaker 1: But I don't hold it against you. I have power

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Speaker 1: to make my life better and I chose to be

397
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Speaker 1: here and you're like, damn, that does not define me. Though. Yeah,

398
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Speaker 1: I know that's interesting. I mean, I yeah, there is

399
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Speaker 1: something too like it says. I don't know, just in general,

400
00:21:29,160 --> 00:21:33,000
Speaker 1: there's something attractive about people who can be like who

401
00:21:33,040 --> 00:21:35,200
Speaker 1: are aware of like the ship that they've been through,

402
00:21:35,200 --> 00:21:38,000
Speaker 1: how it's affected them, and also being like and I know,

403
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Speaker 1: I kind of gotta work on that kind of thing

404
00:21:40,400 --> 00:21:43,240
Speaker 1: versus I remember when I was younger, you deep, you know,

405
00:21:43,560 --> 00:21:45,879
Speaker 1: when you have no awareness around your own ship, it

406
00:21:45,960 --> 00:21:49,600
Speaker 1: just looks like to fucking Tasmanian devils, like emotional Tasmanian

407
00:21:49,640 --> 00:21:52,439
Speaker 1: devils be near each other. Yeah, I like a I

408
00:21:52,520 --> 00:21:56,359
Speaker 1: like a little bit of thinking awareness for sure. Yeah,

409
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Speaker 1: especially like the the idea of like innocence and not

410
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Speaker 1: anybody who in the current world is just like I'm good,

411
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Speaker 1: Like you know, I'm just like innocent and I don't

412
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Speaker 1: really I don't let this stuff get me down. Yeah,

413
00:22:12,560 --> 00:22:16,480
Speaker 1: it's like what stuff life reality, like the reality of

414
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Speaker 1: where we live. I feel like when I was, you know,

415
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Speaker 1: before the pandemic, and I was interacting more people and

416
00:22:21,760 --> 00:22:24,760
Speaker 1: like assessing people for new friendships and things. If people

417
00:22:24,760 --> 00:22:28,239
Speaker 1: seem too innocent, bro, we're not gonna get along. Like

418
00:22:28,680 --> 00:22:31,440
Speaker 1: you need to know you've stolen ship and I need

419
00:22:31,480 --> 00:22:34,480
Speaker 1: to know that, like you've screamed at the top of

420
00:22:34,520 --> 00:22:37,960
Speaker 1: your lungs at a parent because they didn't understand you

421
00:22:38,080 --> 00:22:40,120
Speaker 1: or some ship. Like when people are just like, yeah,

422
00:22:40,359 --> 00:22:44,680
Speaker 1: like this like Disney like energy, I'm like, yeah, that's

423
00:22:44,720 --> 00:22:46,800
Speaker 1: that Disney And because it's what it is is it's

424
00:22:46,840 --> 00:22:49,840
Speaker 1: almost like it's one thing to be happy and optimistic.

425
00:22:50,119 --> 00:22:53,600
Speaker 1: I'm like, nothing wrong with high happy energy as long

426
00:22:53,600 --> 00:22:55,600
Speaker 1: as you're aware of the truth. But I think the

427
00:22:55,720 --> 00:22:59,320
Speaker 1: energy of like everything's fine is almost like dystopian because

428
00:22:59,359 --> 00:23:01,960
Speaker 1: it's like, oh, you're gonna need my help when things

429
00:23:01,960 --> 00:23:04,280
Speaker 1: go wrong, because clearly you have not ever had to

430
00:23:04,320 --> 00:23:06,480
Speaker 1: solve you know what I mean that feeling like versus

431
00:23:06,480 --> 00:23:09,359
Speaker 1: someone who's like, hey, I can, like, you know, change

432
00:23:09,400 --> 00:23:11,520
Speaker 1: all of my car I could do this. Uh, and

433
00:23:11,640 --> 00:23:13,640
Speaker 1: so at the end of the day, I'm not gonna

434
00:23:13,720 --> 00:23:16,600
Speaker 1: like lean on you so hard, but I might, you know,

435
00:23:16,760 --> 00:23:18,879
Speaker 1: help you out. You can help me out, and it's cool.

436
00:23:19,080 --> 00:23:24,320
Speaker 1: Maybe come my surrogate emotional mother. Yeah, yeah, we will

437
00:23:24,359 --> 00:23:29,800
Speaker 1: negotiate the terms of this emotional handoff. But I don't worry. Yeah,

438
00:23:29,880 --> 00:23:33,119
Speaker 1: negost the emotion. I don't think Disney like affected me

439
00:23:33,200 --> 00:23:36,639
Speaker 1: that much. But I am only attracted to very happy,

440
00:23:36,680 --> 00:23:41,080
Speaker 1: positive orphans parents tragically when they were too young to

441
00:23:41,119 --> 00:23:44,720
Speaker 1: know them. Oh my gosh. Disney also sucked up like

442
00:23:44,880 --> 00:23:47,520
Speaker 1: how we see animals because I didn't realize this until recently,

443
00:23:47,520 --> 00:23:49,000
Speaker 1: because I'm like, we have to new to our dog.

444
00:23:49,080 --> 00:23:51,280
Speaker 1: That makes sense, yes, even though I was watching puppy

445
00:23:51,359 --> 00:23:54,120
Speaker 1: videos of Tibetan spaniels thinking how sad my dog will

446
00:23:54,119 --> 00:23:57,440
Speaker 1: never have a family of his own, And then I remember, like,

447
00:23:57,480 --> 00:23:59,800
Speaker 1: why did I love puppy so much? Growing up? All

448
00:23:59,840 --> 00:24:02,920
Speaker 1: the Disney movies, you just randomly go puppies, Like there's

449
00:24:02,960 --> 00:24:05,600
Speaker 1: just like families who have dogs and suddenly puppies. I'm like,

450
00:24:05,680 --> 00:24:08,520
Speaker 1: this is propaganda. How are you telling children that you

451
00:24:08,600 --> 00:24:10,000
Speaker 1: got a dog for as a pet and you could

452
00:24:10,040 --> 00:24:13,000
Speaker 1: have puppies when literally the Humane Society came to our

453
00:24:13,000 --> 00:24:16,360
Speaker 1: elementary schools had told us neuterin in Spain, it's fine

454
00:24:16,760 --> 00:24:19,160
Speaker 1: like that, we had bookmarks that said neuter and spay

455
00:24:19,200 --> 00:24:22,320
Speaker 1: your dogs. Damn. And at the same time, all the

456
00:24:22,359 --> 00:24:24,840
Speaker 1: cartoons are like puppies have families too, And you're like,

457
00:24:24,840 --> 00:24:28,440
Speaker 1: wait a minute, wait a minute, Oh, I mean I was.

458
00:24:28,320 --> 00:24:30,119
Speaker 1: It was one of my nieces, Like over the break,

459
00:24:30,480 --> 00:24:35,399
Speaker 1: they break their necks trying to look at a puppy anywhere. Puppy.

460
00:24:35,640 --> 00:24:39,200
Speaker 1: You're like, we're driving in a car, like I thought

461
00:24:39,240 --> 00:24:41,640
Speaker 1: some ship went down, but you just saw a puppy outside,

462
00:24:41,640 --> 00:24:45,600
Speaker 1: And I get that. Disney used Disney actually used like

463
00:24:45,680 --> 00:24:50,240
Speaker 1: baby animals to like hack what what we will find cute?

464
00:24:50,520 --> 00:24:55,280
Speaker 1: Like they used like the head shapes of baby hippos

465
00:24:55,320 --> 00:24:58,879
Speaker 1: and the head shapes of baby humans to design all

466
00:24:58,920 --> 00:25:08,120
Speaker 1: their cute animals. So yeah, there, you get it right there. Alright,

467
00:25:08,560 --> 00:25:20,879
Speaker 1: let's take a quick break. We'll be right back. And

468
00:25:21,000 --> 00:25:24,880
Speaker 1: we're back, and you know, people are starting to ask

469
00:25:24,920 --> 00:25:29,440
Speaker 1: the question that the Biden administration heading into the New

470
00:25:29,520 --> 00:25:32,680
Speaker 1: Year was talking a lot about mandates, and you know

471
00:25:32,880 --> 00:25:36,240
Speaker 1: how this was, we had deadlines. Everybody's gonna have to

472
00:25:36,320 --> 00:25:38,600
Speaker 1: quit their jobs if they wanted to stay with that

473
00:25:38,720 --> 00:25:42,600
Speaker 1: anti back ship. And it just seems like that is

474
00:25:42,640 --> 00:25:47,560
Speaker 1: stretching on the vaccine man dates aren't aren't really being

475
00:25:47,640 --> 00:25:50,520
Speaker 1: enforced that much, and people are asking why, whether it's

476
00:25:50,560 --> 00:25:54,800
Speaker 1: people fucking suing to stop it, and obviously many states

477
00:25:55,000 --> 00:25:57,600
Speaker 1: state attorneys general have you know, that's like a case

478
00:25:57,600 --> 00:26:00,000
Speaker 1: of the Supreme Court is hearing. There's been all kinds

479
00:26:00,000 --> 00:26:02,560
Speaker 1: of resistance, but I think one that hasn't really been

480
00:26:02,600 --> 00:26:05,320
Speaker 1: talked about a lot, or at least looked at enough,

481
00:26:05,480 --> 00:26:09,359
Speaker 1: is really what Corporate America's hand is in this, Because

482
00:26:09,640 --> 00:26:11,919
Speaker 1: at first it sounded like Corporate America was all on

483
00:26:11,960 --> 00:26:14,600
Speaker 1: board with this. We're like, yep, absolutely, They're like, you're

484
00:26:14,600 --> 00:26:17,919
Speaker 1: working here, you better get vaccinated. We see what the

485
00:26:18,000 --> 00:26:21,560
Speaker 1: economists are saying. If you know people are vaccinated, it

486
00:26:21,640 --> 00:26:24,639
Speaker 1: makes the situation more stable, really, which means we have

487
00:26:24,720 --> 00:26:28,120
Speaker 1: healthy people to buy our ship. But as like the

488
00:26:28,160 --> 00:26:32,240
Speaker 1: Biden administration's call for the vaccine mandates like grew larger

489
00:26:32,280 --> 00:26:36,720
Speaker 1: and louder and clearer, things apparently changed, and suddenly the

490
00:26:36,880 --> 00:26:40,040
Speaker 1: corporations have changed their tune. And I think since worker

491
00:26:40,160 --> 00:26:44,320
Speaker 1: safety means no money going to c suite bonuses, they're

492
00:26:44,400 --> 00:26:46,159
Speaker 1: very quickly be like, yeah, you know what, Actually, no, no no, no,

493
00:26:46,320 --> 00:26:48,520
Speaker 1: this is all bad and how's it happening. So this

494
00:26:48,560 --> 00:26:52,000
Speaker 1: is from the starticle quote um from Jacobin saying, just

495
00:26:52,040 --> 00:26:55,040
Speaker 1: analyzing where a lot of the corporate influence has been

496
00:26:55,040 --> 00:26:57,280
Speaker 1: exerted as it relates to mandates. Quote. Some of the

497
00:26:57,280 --> 00:26:59,439
Speaker 1: groups are fighting the mandate in court, while others have

498
00:26:59,480 --> 00:27:02,240
Speaker 1: been Some men comments to OSHA throughout the public comment

499
00:27:02,320 --> 00:27:06,400
Speaker 1: period for the new rule urging modification, clarification, or even

500
00:27:06,480 --> 00:27:10,240
Speaker 1: wholesale abandonment of the rule. And so what they're saying

501
00:27:10,320 --> 00:27:12,639
Speaker 1: is like these are industry lobbying groups who are just

502
00:27:12,920 --> 00:27:16,280
Speaker 1: getting all their hot takes in during the public comment period,

503
00:27:16,400 --> 00:27:19,720
Speaker 1: Like this is stupid, It's gonna funk up everything. Suddenly

504
00:27:20,040 --> 00:27:22,200
Speaker 1: they go on to say, quote, some corporate lobbying groups

505
00:27:22,320 --> 00:27:25,200
Speaker 1: want to revise Biden's vaccine and testing mandates to allow

506
00:27:25,240 --> 00:27:28,400
Speaker 1: for nonsensical exemptions for people who self attest that they

507
00:27:28,400 --> 00:27:33,520
Speaker 1: have been tested or have experienced quote natural infection and recovery.

508
00:27:33,880 --> 00:27:37,000
Speaker 1: And others want the rules scrapped outright, arguing that the

509
00:27:37,040 --> 00:27:40,040
Speaker 1: mandate will turn businesses into quote the government's instruments of

510
00:27:40,119 --> 00:27:46,440
Speaker 1: coercion against their own employees. Um So in short, he's

511
00:27:46,480 --> 00:27:51,040
Speaker 1: shook slash beholden to the groups. We saw with Djokovic

512
00:27:51,200 --> 00:27:56,000
Speaker 1: over the weekend that he basically waited waited out the

513
00:27:56,040 --> 00:28:00,399
Speaker 1: Australian government and there was enough pressure from the tennis

514
00:28:00,440 --> 00:28:03,199
Speaker 1: body to like let him play, and they were like,

515
00:28:03,200 --> 00:28:06,600
Speaker 1: oh he had COVID, okay, so he has these natural

516
00:28:08,040 --> 00:28:11,000
Speaker 1: were good. We're good as if you can't get it

517
00:28:11,080 --> 00:28:12,840
Speaker 1: more than one, like I know people who have got

518
00:28:12,920 --> 00:28:17,360
Speaker 1: it more than one vaccinated. Yeah. So essentially, like it's

519
00:28:17,400 --> 00:28:19,320
Speaker 1: just creating this environment, I think, not just as it

520
00:28:19,320 --> 00:28:22,920
Speaker 1: relates to this specific mandate, but like we're now we're

521
00:28:22,920 --> 00:28:26,840
Speaker 1: seeing people like teachers or flight attendants. They've suddenly become

522
00:28:26,880 --> 00:28:30,840
Speaker 1: like the front line in terms of advocating for workplace safety,

523
00:28:30,920 --> 00:28:34,600
Speaker 1: and not because like their revolutionaries, but because their employers

524
00:28:34,600 --> 00:28:37,920
Speaker 1: have put them in like an impossible position where they're

525
00:28:37,960 --> 00:28:40,440
Speaker 1: like no, like this is too much, like you're not

526
00:28:40,600 --> 00:28:45,200
Speaker 1: you're you're ignoring the spiking COVID cases. We've had coworkers

527
00:28:45,200 --> 00:28:47,320
Speaker 1: passed away at the environment. This is just too much.

528
00:28:47,640 --> 00:28:50,880
Speaker 1: I don't want to be out there. And currently, like

529
00:28:51,120 --> 00:28:55,520
Speaker 1: many flight attendants have been pleading for vaccine mandates on

530
00:28:55,600 --> 00:28:57,560
Speaker 1: flights in the in the US, like they're like, hey,

531
00:28:57,640 --> 00:28:59,600
Speaker 1: f A, what happened to this talk of like having

532
00:28:59,600 --> 00:29:03,920
Speaker 1: people like vaccinated on like airline flights. This is this

533
00:29:03,960 --> 00:29:06,720
Speaker 1: could be potentially great for us, because I don't know

534
00:29:06,720 --> 00:29:09,480
Speaker 1: if you've seen the news since flights started taken off again,

535
00:29:09,720 --> 00:29:12,560
Speaker 1: we're basically getting punched and having to tape people to

536
00:29:12,680 --> 00:29:15,280
Speaker 1: seats because they don't want to fucking wear masks. So

537
00:29:15,320 --> 00:29:18,320
Speaker 1: they're all saying, like anecdotally, like we very much see

538
00:29:18,360 --> 00:29:20,880
Speaker 1: a clear line between if there was like people who

539
00:29:20,880 --> 00:29:24,280
Speaker 1: funk with like vaccines or respect the mask, they're not

540
00:29:24,360 --> 00:29:27,160
Speaker 1: the kinds of people that end up assaulting us on flights.

541
00:29:27,160 --> 00:29:30,280
Speaker 1: So they're like, this would just be a tremendous weight

542
00:29:30,480 --> 00:29:33,960
Speaker 1: and safety concern lifted from our shoulders. But then like

543
00:29:34,400 --> 00:29:36,720
Speaker 1: when the White House Press Sector Jen Saki was asked

544
00:29:36,760 --> 00:29:39,440
Speaker 1: about it, she said quote, they had not heard that

545
00:29:39,520 --> 00:29:44,400
Speaker 1: explanation internally and and directed questions to the f a A.

546
00:29:45,000 --> 00:29:47,920
Speaker 1: The f a A A in turn referred the Daily Beast

547
00:29:48,000 --> 00:29:52,520
Speaker 1: was asking to the White house. It's almost like they

548
00:29:52,600 --> 00:29:54,720
Speaker 1: did none of these people should be in charge because

549
00:29:54,800 --> 00:29:58,320
Speaker 1: they basically are acting the way like a big companies whenever,

550
00:29:58,640 --> 00:30:00,720
Speaker 1: like a big company makes a new and everyone's like, wow,

551
00:30:00,760 --> 00:30:02,520
Speaker 1: why do we have to sit through this harassment training

552
00:30:02,560 --> 00:30:04,760
Speaker 1: or whatever? But it's like now the CEO is like what,

553
00:30:05,160 --> 00:30:06,760
Speaker 1: why do we have to do the thing? It's like

554
00:30:07,040 --> 00:30:10,360
Speaker 1: the thing that like rules, you don't like rules, the

555
00:30:10,400 --> 00:30:13,840
Speaker 1: thing that you make your employees do like hm, when

556
00:30:13,840 --> 00:30:16,440
Speaker 1: it applies to them, they just can't stand it, right,

557
00:30:16,480 --> 00:30:18,680
Speaker 1: And also like, so now I have to pay for

558
00:30:18,720 --> 00:30:22,560
Speaker 1: them to be tested. No, no, no, we're not doing

559
00:30:22,560 --> 00:30:25,040
Speaker 1: any of that. It's only cool when they pay my salary.

560
00:30:25,200 --> 00:30:28,720
Speaker 1: And they do work for absolutely. And they noted that

561
00:30:28,760 --> 00:30:31,479
Speaker 1: the flight attendants and teachers are the front lines because

562
00:30:31,640 --> 00:30:37,080
Speaker 1: they're almost all unionized, and that's thus they're able to

563
00:30:37,120 --> 00:30:39,440
Speaker 1: actually like bring a fight as opposed to other people

564
00:30:39,440 --> 00:30:42,080
Speaker 1: who are just getting fucking railroad up. And that's what's

565
00:30:42,120 --> 00:30:44,800
Speaker 1: wild too, right, the especially as it relates to Chicago,

566
00:30:45,240 --> 00:30:48,040
Speaker 1: you know, and you look on teacher Twitter, My god,

567
00:30:48,200 --> 00:30:51,160
Speaker 1: the things that like people are saying is happening in

568
00:30:51,160 --> 00:30:53,840
Speaker 1: their school district and the conditions they're made to work

569
00:30:53,840 --> 00:30:57,440
Speaker 1: in you'd be like, fuck, that is so it's so

570
00:30:57,480 --> 00:31:01,320
Speaker 1: fucked up. But again, because of the bunch of capitalism,

571
00:31:01,360 --> 00:31:04,200
Speaker 1: most people's responses like I go in because I can't

572
00:31:04,240 --> 00:31:07,160
Speaker 1: lose this job, like I'm already supporting family, Like I

573
00:31:07,240 --> 00:31:10,479
Speaker 1: can't this isn't when I have to look at up

574
00:31:10,480 --> 00:31:12,760
Speaker 1: like a decision to stay or find something else is

575
00:31:12,800 --> 00:31:15,200
Speaker 1: just easier for me to stay with this. But me

576
00:31:15,240 --> 00:31:18,640
Speaker 1: in the meantime, you have like politicians of the audacity

577
00:31:18,680 --> 00:31:20,880
Speaker 1: to be like these teachers are like out of line,

578
00:31:21,480 --> 00:31:25,280
Speaker 1: like abandoning these kids, like these kids and like I

579
00:31:25,320 --> 00:31:27,760
Speaker 1: heard you know, saying things like they're coming from homes

580
00:31:27,840 --> 00:31:30,480
Speaker 1: or the parents are struggling and need to go to work.

581
00:31:30,520 --> 00:31:33,680
Speaker 1: It's like, motherfucker. As a leader, why are you not

582
00:31:33,840 --> 00:31:37,360
Speaker 1: ideating around how you can keep those parents safe that

583
00:31:37,400 --> 00:31:39,640
Speaker 1: they're not having to be in an impossible situation like

584
00:31:40,000 --> 00:31:41,880
Speaker 1: well if I if I don't go to work, then

585
00:31:41,920 --> 00:31:44,200
Speaker 1: I lose my job. But if I but if but

586
00:31:44,320 --> 00:31:46,800
Speaker 1: my kids are not in school, So what am I

587
00:31:46,840 --> 00:31:50,480
Speaker 1: supposed to do? And just treating it like this unsolvable problem.

588
00:31:50,480 --> 00:31:52,320
Speaker 1: It's just really fucked up, just even how it's being

589
00:31:52,440 --> 00:31:55,720
Speaker 1: discussed out loud, and like hearing people take those, you know,

590
00:31:55,840 --> 00:32:01,320
Speaker 1: rhetorical arguments interesting. Yeah, are the teachers selfish? Yeah? I

591
00:32:01,360 --> 00:32:03,960
Speaker 1: also don't know all or even most flight attendants or

592
00:32:04,000 --> 00:32:07,480
Speaker 1: teachers are unionized, But I just I just know that

593
00:32:07,520 --> 00:32:12,840
Speaker 1: I've heard of the unions for those professions, so like that.

594
00:32:13,240 --> 00:32:15,320
Speaker 1: I'm not I'm not saying they're all unionized. I'm just

595
00:32:15,320 --> 00:32:18,520
Speaker 1: saying that that gives them at least a fucking foothold,

596
00:32:18,560 --> 00:32:24,520
Speaker 1: whereas a lot of the other professions, your Amazon delivery

597
00:32:24,640 --> 00:32:28,560
Speaker 1: and warehouse workers don't have that option. I will say

598
00:32:28,600 --> 00:32:32,840
Speaker 1: that when I searched our most flight attendants, the Google

599
00:32:32,880 --> 00:32:36,360
Speaker 1: auto complete number one with a bullet was single. So

600
00:32:36,760 --> 00:32:39,800
Speaker 1: people are just way too thirsty out here being like,

601
00:32:41,800 --> 00:32:50,120
Speaker 1: are you single? Are most attendant? That's like someone's weird

602
00:32:50,160 --> 00:32:53,480
Speaker 1: interpretation of being unionized. It's like they have they entered

603
00:32:53,480 --> 00:32:56,520
Speaker 1: a wholly union of matrimony. That's probably what it means.

604
00:32:56,920 --> 00:33:01,480
Speaker 1: That's how we get the evangelicals on board the union

605
00:33:01,680 --> 00:33:06,080
Speaker 1: with Christy. I mean, look at these people. Some of

606
00:33:06,120 --> 00:33:08,400
Speaker 1: these people are not even Christians and they're willing to

607
00:33:08,880 --> 00:33:11,240
Speaker 1: enter into a union with christ I mean, please, we

608
00:33:11,280 --> 00:33:15,840
Speaker 1: need your support for minimum ways, the Great collab the

609
00:33:15,920 --> 00:33:27,640
Speaker 1: labor the labor movement after the Great the Great collab Collabo. Alright,

610
00:33:27,680 --> 00:33:31,720
Speaker 1: let's talk about Florida real quick there. Yeah, so they

611
00:33:31,760 --> 00:33:36,280
Speaker 1: have low death rates. Recently, people are asking us to

612
00:33:36,320 --> 00:33:40,240
Speaker 1: solve the solve the riddle. Their COVID cases and hospitalizations

613
00:33:40,280 --> 00:33:42,920
Speaker 1: are surging, but the state has the second lowest death

614
00:33:43,040 --> 00:33:46,000
Speaker 1: rate in the nation. What's going on? So we talked

615
00:33:46,000 --> 00:33:47,840
Speaker 1: to a couple of months ago about how they changed

616
00:33:47,880 --> 00:33:51,480
Speaker 1: the way they were reporting COVID deaths so that when

617
00:33:51,800 --> 00:33:56,280
Speaker 1: a death was determined like weeks after it happened, that

618
00:33:56,360 --> 00:33:59,479
Speaker 1: death would only be counted to two weeks ago, as

619
00:33:59,480 --> 00:34:01,560
Speaker 1: opposed to revery other state, which is just giving it

620
00:34:01,600 --> 00:34:06,720
Speaker 1: to like the current day, which keeps things up to

621
00:34:06,800 --> 00:34:09,040
Speaker 1: date and at least like gives you the information as

622
00:34:09,960 --> 00:34:12,920
Speaker 1: constantly as possible and as like up to date, so

623
00:34:12,960 --> 00:34:16,320
Speaker 1: that people are like, oh ship, Florida deaths from COVID

624
00:34:16,360 --> 00:34:19,200
Speaker 1: are really going up, instead of oh ship, we're getting

625
00:34:19,239 --> 00:34:23,080
Speaker 1: a revision that says Florida deaths from COVID went up

626
00:34:23,120 --> 00:34:26,799
Speaker 1: a couple of weeks ago. They don't usually, It's like

627
00:34:27,400 --> 00:34:29,120
Speaker 1: it's like you have to go back and check it

628
00:34:29,200 --> 00:34:31,600
Speaker 1: every two weeks to actually see it. I'd be like

629
00:34:31,640 --> 00:34:33,879
Speaker 1: if you're like late every day, but instead of it's

630
00:34:33,920 --> 00:34:38,080
Speaker 1: like we won't marculate today and then in two weeks later. Yeah, exactly.

631
00:34:38,120 --> 00:34:41,520
Speaker 1: It's just you have to look at the rate from

632
00:34:41,600 --> 00:34:45,960
Speaker 1: like weeks ago to see. Yeah, it's very st if

633
00:34:45,960 --> 00:34:49,000
Speaker 1: you're a time traveler, though, do not go to Florida.

634
00:34:49,120 --> 00:34:53,799
Speaker 1: The COVID death rates from the past are mind blowing. Yeah, so,

635
00:34:53,840 --> 00:34:56,759
Speaker 1: I mean deaths are always a lagging indicator, Like we've

636
00:34:56,840 --> 00:34:59,719
Speaker 1: learned that by living through this pandemic. But there's is

637
00:34:59,840 --> 00:35:03,799
Speaker 1: like you know, doubling tripling the leg that we have.

638
00:35:04,400 --> 00:35:06,799
Speaker 1: We didn't always show going down to them because if

639
00:35:06,800 --> 00:35:08,600
Speaker 1: as you get visit the present day, so then it

640
00:35:08,600 --> 00:35:11,759
Speaker 1: always looks like we're want to decline in some ways exactly,

641
00:35:12,520 --> 00:35:15,239
Speaker 1: and you know that's that's how they do it. But

642
00:35:15,360 --> 00:35:20,440
Speaker 1: this MSN article is just like really buries that fact.

643
00:35:20,600 --> 00:35:24,280
Speaker 1: There's like a sentence about it. But they say experts

644
00:35:24,280 --> 00:35:27,120
Speaker 1: say several factors could explain the currently low rates. Florida's

645
00:35:27,120 --> 00:35:30,759
Speaker 1: horrific toll from Delta, and it's acquired resistance and vaccination

646
00:35:30,880 --> 00:35:33,520
Speaker 1: rates maybe buffering the state at a time when others

647
00:35:33,600 --> 00:35:36,560
Speaker 1: are contending with two variants, which doesn't really make sense.

648
00:35:36,600 --> 00:35:41,879
Speaker 1: And it is also like the anti bax ornies I've

649
00:35:41,880 --> 00:35:45,960
Speaker 1: got the antibodies don't give credence to that ship. Yeah,

650
00:35:46,160 --> 00:35:48,239
Speaker 1: And then only after that they say or because of

651
00:35:48,239 --> 00:35:50,480
Speaker 1: the white Florida reports COVID deaths, which already tend to

652
00:35:50,560 --> 00:35:54,040
Speaker 1: leg infections and hospitalizations, the true death rate from this

653
00:35:54,120 --> 00:35:57,400
Speaker 1: recent wave maybe too soon to know. And then somebody

654
00:35:57,600 --> 00:36:00,759
Speaker 1: later on does say that that it of always looks

655
00:36:01,000 --> 00:36:04,200
Speaker 1: makes it look like they're declining, even though what what's

656
00:36:04,200 --> 00:36:07,520
Speaker 1: really happening is that we're just learning later and attributing

657
00:36:07,560 --> 00:36:11,160
Speaker 1: those two earlier on. But it's just they did a

658
00:36:11,239 --> 00:36:15,840
Speaker 1: very specific thing too, with a very specific like aim

659
00:36:15,880 --> 00:36:20,160
Speaker 1: for their outcome, and it is working perfectly. And and

660
00:36:20,239 --> 00:36:24,160
Speaker 1: these fucking the treatments of this kind of news story

661
00:36:24,239 --> 00:36:27,520
Speaker 1: are they've completely fucked people's perception up of like what's

662
00:36:27,560 --> 00:36:29,440
Speaker 1: happening to because you could be like, damn, what's going

663
00:36:29,440 --> 00:36:31,640
Speaker 1: on Florida. Then you probably see Ron de Sant has

664
00:36:31,680 --> 00:36:35,520
Speaker 1: come out and he's like, so, you know, um, with COVID,

665
00:36:35,800 --> 00:36:39,040
Speaker 1: you know we're doing well. Do you see that clip

666
00:36:39,040 --> 00:36:41,239
Speaker 1: of him trying to like catch his breath at a

667
00:36:41,239 --> 00:36:44,279
Speaker 1: factory opening and it was like, are you hiding something, sir?

668
00:36:44,400 --> 00:36:48,200
Speaker 1: You you're either you are so emotional from this semiconductor

669
00:36:48,239 --> 00:36:53,000
Speaker 1: factory opening, or you are having serious troublereathing from potentially

670
00:36:53,080 --> 00:36:56,560
Speaker 1: respiratory passionate about his job. It chokes him up. Yeah right, yeah,

671
00:36:56,800 --> 00:36:58,920
Speaker 1: having to do it makes him sad. Right, and you

672
00:36:58,920 --> 00:37:01,000
Speaker 1: get this idea. It's like, well they got something right

673
00:37:01,040 --> 00:37:04,920
Speaker 1: by completely throwing out people's like basic rights to be

674
00:37:04,960 --> 00:37:07,239
Speaker 1: treated as a human being that should live like out

675
00:37:07,320 --> 00:37:11,480
Speaker 1: the window, and like their brute force policy is working.

676
00:37:11,600 --> 00:37:14,720
Speaker 1: Rather than just saying Florida, this story is just Florida

677
00:37:14,840 --> 00:37:19,000
Speaker 1: keeps lying about how the report and deaths there. It

678
00:37:19,160 --> 00:37:22,200
Speaker 1: is not m let's do this. They really did a

679
00:37:22,239 --> 00:37:23,719
Speaker 1: New York Times on that one. We got to go

680
00:37:23,760 --> 00:37:29,120
Speaker 1: through Florida's phone. Florida has been lying. Florida is hiding shit. Okay,

681
00:37:29,280 --> 00:37:34,080
Speaker 1: who's table talking Florida? What's going on? Any headline that

682
00:37:34,200 --> 00:37:37,520
Speaker 1: I mean this is not that our listenership is falling

683
00:37:37,560 --> 00:37:39,600
Speaker 1: for this, and this is more recovering the story as

684
00:37:39,600 --> 00:37:42,080
Speaker 1: an example of how the industry media is complicit and

685
00:37:42,239 --> 00:37:45,799
Speaker 1: all the misinformation that's going on. But any headline that

686
00:37:45,920 --> 00:37:48,720
Speaker 1: ends with what's going on. At the end, they're putting

687
00:37:48,719 --> 00:37:53,760
Speaker 1: out a bunch of different theories and it's probably completely bullshit.

688
00:37:54,200 --> 00:37:57,080
Speaker 1: It's like stirring your curiosity. But like, but your job

689
00:37:57,120 --> 00:38:00,319
Speaker 1: was supposed to ask this question internally and then figure

690
00:38:00,360 --> 00:38:02,760
Speaker 1: you're supposed to this is like the pitch to your editor,

691
00:38:02,960 --> 00:38:04,480
Speaker 1: and then you're supposed to figure out what's going on

692
00:38:04,760 --> 00:38:07,120
Speaker 1: and tell us. Buried in the article is a very

693
00:38:07,200 --> 00:38:11,239
Speaker 1: succinct description of what is happening, Like Florida is the

694
00:38:11,239 --> 00:38:13,640
Speaker 1: only state that reports COVID death to the Center of

695
00:38:13,680 --> 00:38:17,080
Speaker 1: Disease Control and Prevention by the date the death occurred,

696
00:38:17,200 --> 00:38:19,960
Speaker 1: rather than the date reported to the state, or a

697
00:38:19,960 --> 00:38:22,719
Speaker 1: combination of the two. According to a notation, the way

698
00:38:22,760 --> 00:38:26,040
Speaker 1: Florida reports can give the appearance overall deaths are decreasing.

699
00:38:26,160 --> 00:38:29,240
Speaker 1: The CDC notes this does not reflect a true decline

700
00:38:29,480 --> 00:38:33,040
Speaker 1: and data should be interpreted with caution. So, yeah, exactly

701
00:38:33,120 --> 00:38:35,839
Speaker 1: what you said, Teresa, that it gives the impression that

702
00:38:35,880 --> 00:38:40,920
Speaker 1: there's perpetual decrease and it's actually just slow reporting and

703
00:38:41,200 --> 00:38:45,400
Speaker 1: manipulation of the system. Yeah, what's going on? Then meanwhile,

704
00:38:45,480 --> 00:38:48,040
Speaker 1: says I see you beds are filling up. Is another

705
00:38:48,120 --> 00:38:52,279
Speaker 1: slug in that story it's like, Okay, it doesn't sound

706
00:38:52,360 --> 00:38:55,479
Speaker 1: like everything's doing great, but don't believe what you hear.

707
00:38:56,080 --> 00:38:59,600
Speaker 1: There could be magic. I mean Disney Disney World is

708
00:38:59,600 --> 00:39:03,480
Speaker 1: in floor. Maybe magic will help them. I don't know,

709
00:39:04,719 --> 00:39:09,120
Speaker 1: you believe in tragic There you go. Yeah, the the

710
00:39:09,160 --> 00:39:15,160
Speaker 1: implication is that Florida's like rapidly aging or already aged

711
00:39:15,280 --> 00:39:17,920
Speaker 1: population is just like killing it when it comes to

712
00:39:18,080 --> 00:39:24,359
Speaker 1: surviving COVID and also like very relatively unvaccinated population. Anyways,

713
00:39:24,600 --> 00:39:28,640
Speaker 1: good media we have. Let's take a quick break and

714
00:39:28,719 --> 00:39:42,600
Speaker 1: we'll be right back. And we're back, and Girls Got

715
00:39:42,680 --> 00:39:48,600
Speaker 1: Cookie season is as well. And this is exciting times,

716
00:39:48,840 --> 00:39:53,320
Speaker 1: I think for people who like sugar such such in myself.

717
00:39:53,960 --> 00:39:58,200
Speaker 1: But so there's this article in the takeout where they

718
00:39:58,239 --> 00:40:00,840
Speaker 1: made reference to the fact that the there are two

719
00:40:01,120 --> 00:40:05,200
Speaker 1: entirely different like kitchens, entirely entirely different factories that make

720
00:40:05,239 --> 00:40:08,320
Speaker 1: the girl Scout cookies, and the cookies are like totally

721
00:40:08,320 --> 00:40:12,719
Speaker 1: different depending on where you live. One of those called ABC, right,

722
00:40:12,760 --> 00:40:16,280
Speaker 1: that's the one I remember growing up. Two bakers ABC

723
00:40:16,480 --> 00:40:21,160
Speaker 1: and Little Brownie And yeah, you know they're mixtape on SoundCloud,

724
00:40:21,360 --> 00:40:26,680
Speaker 1: fucking fire full Little Brownie. But the terrible joke. I'm sorry.

725
00:40:27,680 --> 00:40:29,680
Speaker 1: I like it, man, I thought I thought it was good.

726
00:40:29,760 --> 00:40:35,400
Speaker 1: It was. It was like one of those ones that

727
00:40:35,480 --> 00:40:38,440
Speaker 1: like makes you think. So that's like me, that's my tagline.

728
00:40:38,560 --> 00:40:40,239
Speaker 1: I'm one of the ones that makes you one of

729
00:40:40,239 --> 00:40:48,640
Speaker 1: those that makes you think so. Thin mints, like I

730
00:40:48,680 --> 00:40:52,120
Speaker 1: had definitely experienced this, Like some thin mints don't have

731
00:40:52,160 --> 00:40:54,080
Speaker 1: that much chocolate around them. Some of them are just

732
00:40:54,160 --> 00:40:56,880
Speaker 1: like kind of way free cookies that don't have much

733
00:40:56,920 --> 00:41:02,280
Speaker 1: chocolate around them, and our mintier and those are different

734
00:41:02,400 --> 00:41:04,319
Speaker 1: than the ones that I grew up with that have

735
00:41:04,320 --> 00:41:07,520
Speaker 1: a bunch of chocolate around them. And I had interpreted

736
00:41:07,560 --> 00:41:10,719
Speaker 1: that as Girl Scout Cookies are working with them with

737
00:41:10,800 --> 00:41:13,480
Speaker 1: the process, working with the formula. Oh yeah, weren't. That's

738
00:41:13,520 --> 00:41:15,759
Speaker 1: like some ship you would say, I feel like in

739
00:41:15,800 --> 00:41:18,160
Speaker 1: the years past, like you black Yo, I think they're

740
00:41:18,160 --> 00:41:20,880
Speaker 1: working with the formula. Yeah, I mean, I'm surprised that

741
00:41:20,920 --> 00:41:23,560
Speaker 1: you're asking if I said that, seeing you got my

742
00:41:23,640 --> 00:41:28,120
Speaker 1: invite to the City Hall protests that I staged and

743
00:41:28,960 --> 00:41:32,840
Speaker 1: completely flaked on it. That don't let him fuck the formula.

744
00:41:33,880 --> 00:41:36,960
Speaker 1: The standards of Thinness and Girl scott Cookies is just

745
00:41:37,120 --> 00:41:40,480
Speaker 1: unachievable these days thank you, keep going up and down.

746
00:41:41,680 --> 00:41:44,439
Speaker 1: It was on January six then why d C So

747
00:41:44,680 --> 00:41:49,240
Speaker 1: that was kind of got overshadowed. But all cookies are bad,

748
00:41:52,360 --> 00:41:57,160
Speaker 1: okay sir? But yeah, the it's it's just And also

749
00:41:57,160 --> 00:41:59,920
Speaker 1: I did such little research that the answer was very clear,

750
00:42:00,000 --> 00:42:03,560
Speaker 1: and I just like didn't didn't know that, like, oh no,

751
00:42:03,640 --> 00:42:06,520
Speaker 1: there are two separate cookies. Nobody's changing anything, you dipshit.

752
00:42:06,800 --> 00:42:10,399
Speaker 1: But people who don't move around, I think, would just

753
00:42:10,680 --> 00:42:14,480
Speaker 1: assume that we all lived in a Samoa's world or

754
00:42:14,520 --> 00:42:17,800
Speaker 1: a tag Along's world versus a Peanut butter Patties world.

755
00:42:17,960 --> 00:42:21,320
Speaker 1: But those are two separate cookies made by the two

756
00:42:21,719 --> 00:42:26,239
Speaker 1: different like regional Girl Scout Cookie kitchens. What's their like?

757
00:42:26,360 --> 00:42:29,320
Speaker 1: Turf map look like like who gets what? Yeah? Is it?

758
00:42:29,440 --> 00:42:32,920
Speaker 1: Like Jerrymander? Like, how does because it sounds like you

759
00:42:32,920 --> 00:42:34,560
Speaker 1: grew up in California? R Yeah, I grew up in

760
00:42:34,640 --> 00:42:37,440
Speaker 1: North Cala and we had peanut butter patties and caramel

761
00:42:37,480 --> 00:42:43,000
Speaker 1: de lights. We had Samoa's and tag Alongs down here. Yeah,

762
00:42:43,120 --> 00:42:49,160
Speaker 1: I think it's totally man. Look like there's something deeper

763
00:42:49,400 --> 00:42:52,200
Speaker 1: we need to dig into. The big Girl Scout Cookie

764
00:42:52,400 --> 00:42:57,520
Speaker 1: is trying to create divisive lines between northern California and

765
00:42:57,520 --> 00:43:01,000
Speaker 1: southern California from a young age. They're working with Big

766
00:43:01,040 --> 00:43:05,359
Speaker 1: Sugar to make us angry. I think I think there's

767
00:43:05,360 --> 00:43:08,400
Speaker 1: something here. Yeah, there is. Uh. There is a map

768
00:43:08,640 --> 00:43:12,560
Speaker 1: on l A Times that supposedly tells you which cookie

769
00:43:12,760 --> 00:43:16,480
Speaker 1: you're eating and who who services you or zip code,

770
00:43:17,040 --> 00:43:19,840
Speaker 1: but then the second type of city or an address,

771
00:43:19,880 --> 00:43:22,759
Speaker 1: and it doesn't tell it's a no results found, Please

772
00:43:22,840 --> 00:43:27,200
Speaker 1: refine your search. Huh. Okay, they they've never heard of

773
00:43:27,200 --> 00:43:32,000
Speaker 1: Los Angeles apparently, But how are people selling girls coo

774
00:43:32,080 --> 00:43:34,359
Speaker 1: cookies now? I mean they're not going to door to door,

775
00:43:34,400 --> 00:43:39,320
Speaker 1: are they. Yeah, there's like an online online thing, Yeah, happening.

776
00:43:40,080 --> 00:43:43,960
Speaker 1: But for instance, people on this podcast Zake Gang, we're

777
00:43:43,960 --> 00:43:47,480
Speaker 1: probably confused because we kept referring to s'mores as being

778
00:43:47,520 --> 00:43:51,760
Speaker 1: the sandwich style cookies with frosting and fudge hints of maple,

779
00:43:52,280 --> 00:43:56,360
Speaker 1: as opposed to like s'mores from ABC Bakeries, which apparently

780
00:43:56,400 --> 00:44:01,960
Speaker 1: doesn't service Los Angeles. Is like h ocolate coverage, Graham Cracker.

781
00:44:02,080 --> 00:44:04,439
Speaker 1: It's like totally it doesn't even look like I don't

782
00:44:04,440 --> 00:44:05,879
Speaker 1: know if I remember. That might be a new one,

783
00:44:06,239 --> 00:44:09,520
Speaker 1: since mores are now They're like they're the third newest

784
00:44:09,920 --> 00:44:14,840
Speaker 1: kind of permanent a dish and they're pretty. Actually, lemonades

785
00:44:14,920 --> 00:44:19,400
Speaker 1: might also be um lemonades again, totally different looking cookies.

786
00:44:20,520 --> 00:44:23,000
Speaker 1: And holdly you're saying you grew up with a thin

787
00:44:23,120 --> 00:44:26,440
Speaker 1: mint that have more fudge covering on it. Yeah, like

788
00:44:26,520 --> 00:44:28,480
Speaker 1: we didn't take that bite. You felt like, oh, I'm

789
00:44:28,520 --> 00:44:32,320
Speaker 1: getting through chocolate and I'm hitting the cookie. Yeah, whereas

790
00:44:32,800 --> 00:44:36,319
Speaker 1: the crunch here with more mint. Thin mints are made

791
00:44:36,320 --> 00:44:41,239
Speaker 1: by ABC Bakers, which are are the ones that don't service.

792
00:44:43,000 --> 00:44:45,879
Speaker 1: But that's weird because I feel like I'm eating. When

793
00:44:45,880 --> 00:44:47,759
Speaker 1: you said there was more chocolate, I'm like, I mean,

794
00:44:47,800 --> 00:44:49,880
Speaker 1: I feel like the chocolate is lacking on some of

795
00:44:49,880 --> 00:44:53,560
Speaker 1: these thin mints. How much chocolate it could have had.

796
00:44:53,920 --> 00:44:57,680
Speaker 1: I remember chocolate. There's a little it was chocolate coating, right,

797
00:44:57,800 --> 00:45:00,720
Speaker 1: yeah yeah, yeah, yeah yeah, but it was thin. Yeah.

798
00:45:00,800 --> 00:45:04,120
Speaker 1: So the thin mint the other ones are just away

799
00:45:04,120 --> 00:45:08,680
Speaker 1: for cookie. There's no chocolate. That's not what I grew

800
00:45:08,719 --> 00:45:11,040
Speaker 1: up with, though I had here let me I mean,

801
00:45:11,120 --> 00:45:13,279
Speaker 1: unless I'm unless this picture is fooling, I do have

802
00:45:13,280 --> 00:45:16,239
Speaker 1: to say, Okay, I'm googling, and it's funny, Miles that

803
00:45:16,280 --> 00:45:18,600
Speaker 1: you said to hit this cookie because I wanted to

804
00:45:18,600 --> 00:45:20,400
Speaker 1: see what a dosy do look like. Pretty Much, any

805
00:45:20,400 --> 00:45:22,160
Speaker 1: Girl Scout cookie you put into Google image is going

806
00:45:22,239 --> 00:45:25,279
Speaker 1: to show you pictures of weed. Like, yeah, that's true,

807
00:45:26,840 --> 00:45:29,840
Speaker 1: the pictures of weed. Thin mints. Yeah, I mean it

808
00:45:29,880 --> 00:45:33,319
Speaker 1: should be noted all of ABC Baker's cookies are just

809
00:45:33,800 --> 00:45:37,120
Speaker 1: you know, loaded down with ta They should open a

810
00:45:37,120 --> 00:45:42,200
Speaker 1: dispense Girl Scout Cookie dispensary. Is this thin mint with

811
00:45:42,239 --> 00:45:47,680
Speaker 1: the whole No, right, but that's the ABC. That's what

812
00:45:47,760 --> 00:45:52,160
Speaker 1: a lot of people grew up. Okay, that's no, that's

813
00:45:52,200 --> 00:45:55,160
Speaker 1: not anything. And then okay, so we're definitely in Little

814
00:45:55,160 --> 00:45:58,000
Speaker 1: Brownie because I remember you bought a pack of Smores

815
00:45:58,040 --> 00:45:59,920
Speaker 1: that your Super Bowl party a couple of years ago,

816
00:46:00,000 --> 00:46:02,520
Speaker 1: and this was the ships that we had. Yeah, it

817
00:46:02,560 --> 00:46:06,160
Speaker 1: was the Little Brownie Baker's version. Remember the short short

818
00:46:06,160 --> 00:46:13,080
Speaker 1: bread that's the classic, right yeah yeah, yeah, trefoils, but

819
00:46:13,160 --> 00:46:16,560
Speaker 1: they look different, Like, look, I just posted a link

820
00:46:16,840 --> 00:46:19,040
Speaker 1: above the one that that com posted in there, and

821
00:46:19,680 --> 00:46:22,440
Speaker 1: like you get side by side and even that even

822
00:46:22,480 --> 00:46:25,840
Speaker 1: like the classic is like very different looking. This is trash.

823
00:46:26,000 --> 00:46:29,000
Speaker 1: This is like forget the what is the Mandela effect?

824
00:46:29,080 --> 00:46:31,880
Speaker 1: I mean, this is where the divide in our country

825
00:46:32,480 --> 00:46:38,600
Speaker 1: from off? Keep that going? What if someone dug in

826
00:46:38,719 --> 00:46:42,120
Speaker 1: and it was just like you know, Trump voters or

827
00:46:42,160 --> 00:46:47,400
Speaker 1: service by ABC bakers, Biden voters right a step fucked

828
00:46:47,480 --> 00:46:50,360
Speaker 1: up Kendall gender Pepsi commercial. But Girls Scout Cookies in

829
00:46:50,480 --> 00:46:54,200
Speaker 1: Fanuary six like what the try this thing? Ment though

830
00:46:54,320 --> 00:46:57,680
Speaker 1: Q and on Viking and it's like, oh my god,

831
00:46:58,320 --> 00:47:03,040
Speaker 1: actually go Mike Pennce protect democracy. My mind is being changed.

832
00:47:03,680 --> 00:47:05,960
Speaker 1: I do feel like the Girl Scouts as an organization

833
00:47:06,080 --> 00:47:10,080
Speaker 1: has has historically done a lot of like progressive things, right,

834
00:47:10,120 --> 00:47:13,480
Speaker 1: But but it is interesting too. It's funny that the

835
00:47:13,480 --> 00:47:15,640
Speaker 1: cookies is like we still think of the cookies as

836
00:47:15,640 --> 00:47:18,719
Speaker 1: a big part of it, and they don't really. I mean,

837
00:47:18,760 --> 00:47:20,359
Speaker 1: I don't know. I remember thinking like, oh I want

838
00:47:20,360 --> 00:47:22,360
Speaker 1: to sell cookies, but it's like you don't get to

839
00:47:22,360 --> 00:47:24,719
Speaker 1: bake the cookies. You don't get you just go to

840
00:47:24,800 --> 00:47:26,520
Speaker 1: the door. Now you don't even go to the door

841
00:47:27,360 --> 00:47:29,440
Speaker 1: and you just take an order. And then so I

842
00:47:29,480 --> 00:47:32,040
Speaker 1: think they're like, maybe these bakeries are using these girls

843
00:47:32,040 --> 00:47:33,759
Speaker 1: to raise money in a way that it's not going

844
00:47:33,800 --> 00:47:36,680
Speaker 1: back to the girls. Make a little capitalism soldiers, you

845
00:47:36,680 --> 00:47:39,720
Speaker 1: know what, go out there and fucking hustle. You're fucking

846
00:47:39,840 --> 00:47:42,960
Speaker 1: selling out your trunk. Did you to like compete to

847
00:47:43,000 --> 00:47:48,840
Speaker 1: be employee of the month like that with most picture

848
00:47:49,280 --> 00:47:53,360
Speaker 1: like a wall that like otherwise doesn't get you ship?

849
00:47:54,200 --> 00:47:58,040
Speaker 1: Yeah why not? Why not make you just make something

850
00:47:58,200 --> 00:48:02,480
Speaker 1: and how the cut? Yeah? But so the two new

851
00:48:02,520 --> 00:48:07,040
Speaker 1: ones are toast yea and Adventurefuls. Adventurefuls are like chocolate

852
00:48:07,080 --> 00:48:10,000
Speaker 1: e they look fucking good. I haven't had one, but

853
00:48:10,040 --> 00:48:13,840
Speaker 1: they are chocolate cookies like they look a little bit cakey.

854
00:48:14,040 --> 00:48:17,400
Speaker 1: Shout out to my mom, who's chocolate chip cookies are

855
00:48:17,520 --> 00:48:22,080
Speaker 1: very cakey, very caramel flavored cream. But it's like cream

856
00:48:22,120 --> 00:48:30,359
Speaker 1: spelled the fancy ways. Yeah. Yeah, but anyways, you know,

857
00:48:30,480 --> 00:48:32,960
Speaker 1: don't keep your head on a swivel out there as

858
00:48:33,000 --> 00:48:38,800
Speaker 1: you're buying girl Scout cookies and check the box. Sniffet no,

859
00:48:39,080 --> 00:48:41,799
Speaker 1: no this this this, let me this weight feels like

860
00:48:41,840 --> 00:48:44,240
Speaker 1: you got a b c's in a little Brown's box.

861
00:48:45,560 --> 00:48:47,920
Speaker 1: Open that ship right now. Yeah, let me let me

862
00:48:47,960 --> 00:48:51,600
Speaker 1: use my razor blade real quick, like you doing chocolate.

863
00:48:51,640 --> 00:48:54,600
Speaker 1: Oh my god, yeah, no, no fudge on this. They

864
00:48:54,640 --> 00:48:59,520
Speaker 1: can come. Yeah. So I just I need to applaud

865
00:48:59,760 --> 00:49:03,319
Speaker 1: the hey like we it's probably the website that we

866
00:49:03,719 --> 00:49:05,759
Speaker 1: most approve of on the daily's. Like, guys, with the

867
00:49:05,800 --> 00:49:11,480
Speaker 1: possible exception of Reductress, like we we love the food takes,

868
00:49:11,600 --> 00:49:15,080
Speaker 1: we love their just so I love their editorial perspective

869
00:49:15,160 --> 00:49:18,319
Speaker 1: on this. This new cookie called toast yea that is

870
00:49:18,360 --> 00:49:23,160
Speaker 1: toast dash yea exclamation point. And they were just like

871
00:49:23,480 --> 00:49:26,920
Speaker 1: they were literally reached out to the Girl Scout Cookies

872
00:49:26,960 --> 00:49:33,880
Speaker 1: and were like, what what does that mean? A toast a?

873
00:49:34,719 --> 00:49:39,040
Speaker 1: The Girl Scout of America responded, The name is designed

874
00:49:39,040 --> 00:49:42,280
Speaker 1: to be a play on words for toasty, which evokes

875
00:49:42,280 --> 00:49:44,239
Speaker 1: the warmth and joy with living. Blah blah blah. You

876
00:49:44,239 --> 00:49:48,320
Speaker 1: know what toasty evokes. Toast draws on the cookies unique

877
00:49:48,320 --> 00:49:51,399
Speaker 1: toast shape and attribute to the French toast, and yeah,

878
00:49:51,440 --> 00:49:57,600
Speaker 1: he celebrates joy. It's like that is obfuscation. That is like, okay,

879
00:49:57,640 --> 00:50:00,399
Speaker 1: so toasty is a word we all know, and then

880
00:50:00,480 --> 00:50:02,920
Speaker 1: yea is a word we all know. So I just

881
00:50:02,960 --> 00:50:07,600
Speaker 1: brought those together and answered question. Answered right. It's like

882
00:50:07,680 --> 00:50:10,600
Speaker 1: if I wasn't much just before, now I really now

883
00:50:10,680 --> 00:50:13,680
Speaker 1: I think this whole operation is being run by Russian bots.

884
00:50:13,719 --> 00:50:17,360
Speaker 1: Like that does not sound like a human answers also

885
00:50:17,440 --> 00:50:22,399
Speaker 1: like the the like politician level spin because Jack read

886
00:50:22,440 --> 00:50:25,279
Speaker 1: the second read the full explanation of the YEA part,

887
00:50:25,320 --> 00:50:28,319
Speaker 1: because it's not just like yeah, yeah, here we go

888
00:50:28,640 --> 00:50:32,880
Speaker 1: and yeah. Celebrates joy, the joy that Girl Scout cookies

889
00:50:32,920 --> 00:50:36,440
Speaker 1: bring to consumers, and how girl Scouts create moments of

890
00:50:36,520 --> 00:50:39,640
Speaker 1: joy as they use their cookie earnings to support their

891
00:50:39,680 --> 00:50:43,160
Speaker 1: communities and donate cookies to frontline workers and local causes

892
00:50:43,239 --> 00:50:48,879
Speaker 1: in times like these O more than ever. Okay, yeah

893
00:50:48,920 --> 00:50:52,839
Speaker 1: that is a bit of a stretch, but I mean

894
00:50:53,800 --> 00:50:57,959
Speaker 1: consumers and then the frontline workers and local causes they've

895
00:50:58,000 --> 00:51:03,280
Speaker 1: been compromised. The golf Scouts of America, We've lost them. Yeah,

896
00:51:03,600 --> 00:51:07,440
Speaker 1: this was definitely written by a Girl Scout of America

897
00:51:07,719 --> 00:51:11,520
Speaker 1: who was either like had had somebody pointing some weapon

898
00:51:11,600 --> 00:51:14,800
Speaker 1: at them or or their family like had just been

899
00:51:14,840 --> 00:51:18,479
Speaker 1: shown a picture of their family in you know, being

900
00:51:18,480 --> 00:51:21,800
Speaker 1: held hostage. Right. It's it's definitely a chamber of commerce

901
00:51:21,880 --> 00:51:27,359
Speaker 1: type of response. I think of Girl Scouts. Hi, your

902
00:51:27,400 --> 00:51:31,480
Speaker 1: consumer product not makes sense? Explain please, And it's like

903
00:51:31,680 --> 00:51:36,760
Speaker 1: us to do with frontline workers. Fuck, You're like, oh shit, Okay,

904
00:51:36,840 --> 00:51:40,680
Speaker 1: they don't know what they're doing, so like it so

905
00:51:40,840 --> 00:51:47,839
Speaker 1: toast toast weed, maybe toast wet, toast eat. Oh yeah, man,

906
00:51:47,880 --> 00:51:52,040
Speaker 1: I'm sorry, I can't. How do we work stop this?

907
00:51:52,120 --> 00:51:56,000
Speaker 1: To be better? Right? Well, well, toasty if they're doing

908
00:51:56,040 --> 00:52:00,360
Speaker 1: toast toast we or just called toasty, Yeah, toase irena

909
00:52:00,440 --> 00:52:03,000
Speaker 1: sounds like you're taking a pea on some toast. It's

910
00:52:03,080 --> 00:52:05,600
Speaker 1: just like toasty is too close. Like they wanted to

911
00:52:05,640 --> 00:52:08,440
Speaker 1: invoke the word toasty, so you could just use toasty,

912
00:52:08,560 --> 00:52:11,600
Speaker 1: but they and what about the front Maybe you could

913
00:52:11,600 --> 00:52:15,920
Speaker 1: take about the French accent and they're so borny for

914
00:52:16,000 --> 00:52:19,200
Speaker 1: the frenchness, and there are other names, but then on

915
00:52:19,239 --> 00:52:23,360
Speaker 1: this one they dropped it because I think they're in

916
00:52:23,360 --> 00:52:26,719
Speaker 1: bed with the conservatives. That's what I gotta say. It's

917
00:52:26,760 --> 00:52:30,400
Speaker 1: like freedom fries. This is the freedom fries ization of

918
00:52:30,640 --> 00:52:35,200
Speaker 1: girls Scott cookies names or like just call them toast ease, Like,

919
00:52:35,320 --> 00:52:39,040
Speaker 1: doesn't that feel like a simple You're evoking toasty and

920
00:52:39,160 --> 00:52:42,640
Speaker 1: you've turned this adjective into like in a you know,

921
00:52:43,120 --> 00:52:45,759
Speaker 1: diminutive little names a little toasty, give your box of

922
00:52:45,840 --> 00:52:49,120
Speaker 1: toast these but that's probably taken from some other product, know,

923
00:52:49,440 --> 00:52:52,600
Speaker 1: think just call it this cookie is earnings will go

924
00:52:52,719 --> 00:52:57,839
Speaker 1: to support consist And what about Okay, so you don't

925
00:52:57,880 --> 00:53:02,200
Speaker 1: like toast? We what about toast? Like O P is

926
00:53:02,239 --> 00:53:06,520
Speaker 1: pretty warm and warm U it brings you back to

927
00:53:06,560 --> 00:53:12,120
Speaker 1: your childhood, you know, I'm just saying how so yeah,

928
00:53:12,880 --> 00:53:15,759
Speaker 1: we all remember when we beat the last time we

929
00:53:15,840 --> 00:53:21,319
Speaker 1: beat was jealous when we were kids with enjoy while

930
00:53:21,320 --> 00:53:24,920
Speaker 1: holding a cookie. Yeah, of course. All right, anyways, Teresa

931
00:53:25,680 --> 00:53:29,479
Speaker 1: as always such a pleasure having you on TV. Where

932
00:53:29,480 --> 00:53:32,040
Speaker 1: can where can people find you and follow you? Well,

933
00:53:32,120 --> 00:53:34,799
Speaker 1: my new project is to discover the secret behind the

934
00:53:34,840 --> 00:53:37,720
Speaker 1: Girl Scout Cookies conspiracy. So if you have any leads,

935
00:53:37,760 --> 00:53:40,400
Speaker 1: please message me. No, you can find me. I'm I

936
00:53:40,440 --> 00:53:42,200
Speaker 1: have a podcast, as you guys mentioned called you can

937
00:53:42,200 --> 00:53:45,560
Speaker 1: tell me anything, coming back with new episodes in like

938
00:53:45,640 --> 00:53:48,600
Speaker 1: two weeks. So you That's pretty much all I got

939
00:53:48,640 --> 00:53:51,040
Speaker 1: going on right now. And I'm getting a haircut this week.

940
00:53:51,080 --> 00:53:55,040
Speaker 1: But you can't come to that, so all right, I mean, hey,

941
00:53:55,120 --> 00:53:58,239
Speaker 1: unless you unless you ask as barber willing to give

942
00:53:58,360 --> 00:54:01,640
Speaker 1: discounts for a good edge of what I mean, Okay,

943
00:54:01,800 --> 00:54:05,000
Speaker 1: you can come, but not. But got his amicron Now

944
00:54:05,000 --> 00:54:09,840
Speaker 1: it's not a set. Oh Robert Durst died. Yeah, I

945
00:54:09,840 --> 00:54:14,600
Speaker 1: mean I was gonna save that for the entire themed

946
00:54:14,600 --> 00:54:19,080
Speaker 1: episode we're gonna do in memorial But yeah, we'll talk

947
00:54:19,719 --> 00:54:23,680
Speaker 1: yesterday's traveling. Yeah, he passed away in jail from probably

948
00:54:23,880 --> 00:54:32,560
Speaker 1: cod anyways distress. Is there a tweet or some other

949
00:54:32,560 --> 00:54:36,080
Speaker 1: work of social media you've been enjoying? Oh? Sure, Oh yeah,

950
00:54:36,120 --> 00:54:39,799
Speaker 1: there was a tweet Marcella Argrello. I should look it

951
00:54:39,880 --> 00:54:41,600
Speaker 1: up to read a word for a word, but she

952
00:54:41,680 --> 00:54:44,520
Speaker 1: had a funny tweet that I enjoyed. You're telling me

953
00:54:44,520 --> 00:54:46,880
Speaker 1: every household in America used to get shampoo samples in

954
00:54:46,880 --> 00:54:48,120
Speaker 1: the mail, but they can't find a way to get

955
00:54:48,200 --> 00:54:55,520
Speaker 1: us COVID test right seriously out that was a good

956
00:54:55,560 --> 00:54:59,520
Speaker 1: side too. I think that sigh should just about sums

957
00:54:59,560 --> 00:55:03,080
Speaker 1: up where everyone's at right now. Mm hmmm. Miles, Where

958
00:55:03,080 --> 00:55:06,120
Speaker 1: can people find you? What's a tweet you've been enjoying? Oh? Man,

959
00:55:06,160 --> 00:55:09,640
Speaker 1: you can find me on Twitter and Instagram at Miles

960
00:55:09,680 --> 00:55:12,920
Speaker 1: of Gray and also the other pot Fiance where I

961
00:55:12,960 --> 00:55:16,960
Speaker 1: talk ninety day fiance off that loud with Sophia Alexandra.

962
00:55:17,160 --> 00:55:19,480
Speaker 1: So if you like trash TV, come by because we

963
00:55:19,520 --> 00:55:21,279
Speaker 1: also talk about Married at First Sight too, because that

964
00:55:21,280 --> 00:55:24,440
Speaker 1: new season just started and there's some red flags all

965
00:55:24,480 --> 00:55:26,760
Speaker 1: over that place. A couple of tweets I like. First

966
00:55:26,840 --> 00:55:30,600
Speaker 1: one is from you know what, Christi Yamagucci Mane did

967
00:55:30,640 --> 00:55:33,600
Speaker 1: it had a tweet that did fucking numbers like you

968
00:55:33,800 --> 00:55:36,320
Speaker 1: You wouldn't even believe because look it's a very wooty tweet.

969
00:55:36,719 --> 00:55:39,919
Speaker 1: Christi Yamagucci May wopple House tweeted the Taco bell drive

970
00:55:39,960 --> 00:55:42,360
Speaker 1: through at one am will have to two hundred thousand

971
00:55:42,360 --> 00:55:45,880
Speaker 1: dollar Mercedes S sixty five waiting right behind a ninety

972
00:55:45,880 --> 00:55:49,560
Speaker 1: six cavalier that's never had the oil changed, followed by

973
00:55:49,600 --> 00:55:52,960
Speaker 1: a moped written by three people all craving the same

974
00:55:53,000 --> 00:55:56,560
Speaker 1: thing to live. Moss truly the last great melting pot

975
00:55:56,760 --> 00:55:59,759
Speaker 1: of class in this country. I mean true rewords have

976
00:55:59,840 --> 00:56:02,040
Speaker 1: never have been uttered. And the next one is some

977
00:56:02,120 --> 00:56:06,440
Speaker 1: sleigh webster at yassac or Uh tweated Emily dies at

978
00:56:06,440 --> 00:56:11,160
Speaker 1: the end of Emily in Paris. By the way, it's

979
00:56:11,239 --> 00:56:19,400
Speaker 1: true like that aggressive spoiler energy. You can find me

980
00:56:19,400 --> 00:56:22,000
Speaker 1: on Twitter at Jack Underscore Brian some tweets I've been

981
00:56:22,080 --> 00:56:26,480
Speaker 1: enjoying at Andrew Nadot tweeted found out if you start crying, yell,

982
00:56:26,680 --> 00:56:29,440
Speaker 1: I don't know when the gut pole asks if you

983
00:56:29,440 --> 00:56:31,920
Speaker 1: want walk, they'll give it to you for free a

984
00:56:31,960 --> 00:56:34,960
Speaker 1: little life hack. And then Bill Gate at Real Bill

985
00:56:35,080 --> 00:56:41,160
Speaker 1: Gate tweeted computer, h so, yeah, what the fund was

986
00:56:41,200 --> 00:56:44,440
Speaker 1: that tweet? Just think about it. I don't think it's

987
00:56:44,480 --> 00:56:46,880
Speaker 1: if you get it, you get it, don't I'm sorry,

988
00:56:47,239 --> 00:56:51,320
Speaker 1: computer is how I got I was able to plant

989
00:56:51,400 --> 00:56:55,240
Speaker 1: someone into the gieland Maxwell jury to get the decision

990
00:56:55,239 --> 00:56:57,160
Speaker 1: of I don't know, maybe I don't make that. I

991
00:56:57,200 --> 00:56:59,839
Speaker 1: don't think the real Bill Gates is real Bill Gate,

992
00:57:02,080 --> 00:57:04,080
Speaker 1: or that's what you would want you to think that

993
00:57:04,080 --> 00:57:07,560
Speaker 1: it's not here h Sharene tweeted just sitting here Jones

994
00:57:07,560 --> 00:57:09,560
Speaker 1: and for another word all which is a no word

995
00:57:09,600 --> 00:57:12,279
Speaker 1: game that I am also sitting here Jones and four.

996
00:57:12,640 --> 00:57:15,120
Speaker 1: And then Greta Titleman tweet what is it called when

997
00:57:15,160 --> 00:57:21,640
Speaker 1: you want to have a kid? Just to name? It's complex?

998
00:57:22,000 --> 00:57:26,720
Speaker 1: That feels like one of those things that Germans would

999
00:57:26,760 --> 00:57:30,040
Speaker 1: have a word for. But it's so American that maybe

1000
00:57:30,080 --> 00:57:33,440
Speaker 1: like America needs to do the heavy lifting on this one. Anyways.

1001
00:57:33,440 --> 00:57:36,440
Speaker 1: You can find us on Twitter at Daily Zeigeist. Were

1002
00:57:36,440 --> 00:57:39,080
Speaker 1: at the Daily Zigeist on Instagram. We have Facebook fan

1003
00:57:39,120 --> 00:57:42,280
Speaker 1: page and website Daily sis dot com. Worry post our

1004
00:57:42,360 --> 00:57:46,360
Speaker 1: episodes on our footnotes we link off to the information

1005
00:57:46,360 --> 00:57:49,240
Speaker 1: that we talked about today's episode. So it's a song

1006
00:57:49,320 --> 00:57:51,800
Speaker 1: that we think you might enjoy. Miles, what song do

1007
00:57:51,840 --> 00:57:54,120
Speaker 1: we think people might enjoy today? You know you might

1008
00:57:54,360 --> 00:57:59,520
Speaker 1: enjoy this. This experimental French funk band from the seventies

1009
00:57:59,560 --> 00:58:03,959
Speaker 1: called cortext Okay with their banger of a track called

1010
00:58:05,200 --> 00:58:09,200
Speaker 1: Blue Okay the Blue Herd, I believe it is the

1011
00:58:09,280 --> 00:58:11,520
Speaker 1: name of it. And this band is really something else.

1012
00:58:11,560 --> 00:58:13,680
Speaker 1: It's like if you like can uh and you like

1013
00:58:13,760 --> 00:58:16,200
Speaker 1: that experty much stuff, You're like, this sounds like music

1014
00:58:16,320 --> 00:58:19,640
Speaker 1: from now, but it's from seventies. Yes, this track is

1015
00:58:19,680 --> 00:58:22,959
Speaker 1: like the drummer in this band is so good and

1016
00:58:23,080 --> 00:58:25,800
Speaker 1: the syncopation that they're doing. I'm just like this this

1017
00:58:26,040 --> 00:58:27,760
Speaker 1: next level and I think you'll enjoy it too. So

1018
00:58:27,840 --> 00:58:30,400
Speaker 1: check out the top of Blue by that's actually the

1019
00:58:30,520 --> 00:58:33,200
Speaker 1: name of the thin mints made by the ABC Bakery.

1020
00:58:35,880 --> 00:58:38,160
Speaker 1: Al Right, Well, the Daily Zyka is a production if

1021
00:58:38,080 --> 00:58:40,160
Speaker 1: I Heart Radio from more podcast from my Heart Radio

1022
00:58:40,240 --> 00:58:42,600
Speaker 1: visit Yeah heart Radio, app, Apple podcast, or wherever you

1023
00:58:42,600 --> 00:58:44,400
Speaker 1: listen to your favorite shows. That's gonna do it for

1024
00:58:44,480 --> 00:58:47,640
Speaker 1: us this morning. But we're back this afternoon to tell

1025
00:58:47,680 --> 00:58:50,000
Speaker 1: you what's trending, and we'll talk to y'all. Man By