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Speaker 1: Hello the Internet, and welcome to season two oh four,

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Speaker 1: Episode four of JO Daily's Eight Days. It's a production

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Speaker 1: of I Heart Radio and it's a podcast where we

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Speaker 1: take a deep dive into America's shared consciousness. Of course,

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Speaker 1: it is Thursday, September a k a international podcast areas.

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Speaker 1: It's our day. Miles, we did it. This is we

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Speaker 1: did it. We did a job. Yeah. I I could

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Speaker 1: totally picture one of my parents sending me a text

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Speaker 1: message on this day just being like, look, I know

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Speaker 1: you must be super busy on International podcast Day, but

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Speaker 1: I just want to like, like, you know, we're we're celebrating.

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Speaker 1: We're celebrating over here. My name is Jack O'Brien a K.

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Speaker 1: I said, maybe Maccome's gonna be the thing that saves me,

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Speaker 1: because after all, I've got massive bon Oh that is

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Speaker 1: courtesy of Warring the Wear Bear, and I am thrilled

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Speaker 1: to be joined as always buy my co host, Mr

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Speaker 1: Miles Gras. If you thought you could escape the Crypto

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Speaker 1: Come controversy and Nicki Minaj Ballgate will prepare for this

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Speaker 1: a K. Which is what would you do on this

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Speaker 1: summer around home crying on a loan on the bedroom

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Speaker 1: floor because your ball is big and the only way

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Speaker 1: to relieve it is to by this weird topical spread

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Speaker 1: that costs a little bit of money. But your Coobra gone,

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Speaker 1: Covid kill maccock now and then out of lockdown? What's

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Speaker 1: the price to come now? So for you this is

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Speaker 1: just a good time. But for me, this is what

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Speaker 1: I call life. Oh my god, Claudette ortiase my biggest

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Speaker 1: crush on my life from city High. Yeah, shout out

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Speaker 1: to Locker running for that wonderful what would you do?

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Speaker 1: Fire day? K would you do? I gotta write that

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Speaker 1: down because I've never heard that song. I don't think high.

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Speaker 1: What was ever done doing? Okay? Yeah? And the only

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Speaker 1: way to feed him what it may have for a

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Speaker 1: little bit of money because the dad he's gone, Okay,

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Speaker 1: I think I have heard that. Okay, good. Anyways, I

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Speaker 1: really enjoyed your randish. Thank you, thank you. I'm honored

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Speaker 1: to be a sonic equivalent of Claudette and Happy International Podcast.

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Speaker 1: We are thrilled to be joined in our third seat

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Speaker 1: by a producer of comedy and theater at the twin

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Speaker 1: Head Theater in Atlanta. She's the organizer of the annual

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Speaker 1: Atlanta Fringe Festival. She is one of the hosts of

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Speaker 1: the wildly entertaining podcast Ridiculous Romance. Please welcome Diana Beck. Hey,

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Speaker 1: I wish I had a song, but I did not

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Speaker 1: prepare one. Hey, Happy International Podcast Day to you. First

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Speaker 1: you can we send the official international podcast Carol. What

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Speaker 1: is it? Uh? Lock the gates? Don't don't male male kimp?

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Speaker 1: That one part of that male MP conversion and everything

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Speaker 1: male kimp. It doesn't even really make sense as a mispronunciation.

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Speaker 1: But no, hey, that's how they got us to remember it.

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Speaker 1: Do I use service? Hell? No? M Diana? What's good? Well,

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Speaker 1: you were in Atlanta? Yeah? Yeah? How is Atlanta these days? Beautiful?

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Speaker 1: It's like the part of the year that the weather

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Speaker 1: is absolutely perfect and you're like, this is why I

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Speaker 1: live here. And then probably in a couple of days

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Speaker 1: it will be really hot and buggy again, and then

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Speaker 1: it'll be cold and but not snowy. So what's what's

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Speaker 1: Alanna's best season? For sure? That's everything happens between Labor

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Speaker 1: Day and Halloween, and then everybody stays inside the rest

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Speaker 1: of you. Okay, so this is it. You're You're in

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Speaker 1: the thick of it right now. Oh yeah, But the

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Speaker 1: fringe festival I do is in the summertime, and it's

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Speaker 1: like so hot, Like why are you making me do this?

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Speaker 1: That's worth it? Awesome. Well, we are going to get

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

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Speaker 1: a couple of things we're talking about. We're going to

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Speaker 1: talk about the continuing negotiation happening in uh Washington, d C.

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Speaker 1: Progressives are refusing to budge. Nancy Pelosi is you know,

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Speaker 1: just very budge happy. She you know, friction free. She

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Speaker 1: just wants to let let it, let it go, let

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Speaker 1: it flow. Uh. We're gonna talk about YouTube finally heard

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Speaker 1: about have you Have you guys heard this that there's

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Speaker 1: a vaccine misinformation on YouTube? Yeah, breaking news in the

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Speaker 1: YouTube headquarters and they finally decided to do something about it.

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Speaker 1: We're also going to talk about another mega corporation by

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Speaker 1: the name of Amazon. They are planning already have started

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Speaker 1: in a couple of cases, some company towns, which if

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Speaker 1: you don't know the history of company towns in America, yeah,

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Speaker 1: hold onto your butts. We'll talk about that. We'll talk

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Speaker 1: about you know, it is that time of year again

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Speaker 1: where we get a colorful map breaking down the United

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Speaker 1: States by preferred candy Halloween candy. So we'll check in

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Speaker 1: with that. All of that plenty Moore the first Diana.

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Speaker 1: We like to ask our guest, what is something from

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Speaker 1: your search history? A lot of my search history is

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Speaker 1: Helen Keller stuff right now because that's our next episode

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Speaker 1: of Ridiculous Romance. But also I did look up a

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Speaker 1: lot of stuff about soaking. Have you a Twitter? I

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Speaker 1: almost did. I also had a soaking a k A

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Speaker 1: that I could have sang this morning, but I wasn't

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Speaker 1: sure how up on soaking everyone wit? Are you serious?

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Speaker 1: You had a soaking again? Yeah, someone wrote a soaking

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Speaker 1: a k because we it was there's something popped off

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Speaker 1: on Reddit, and then on ninety Fiance there was a

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Speaker 1: there's a cast member who's Mormon, And then I started

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Speaker 1: talking about soaking on that but go on please day

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Speaker 1: and enlightened, enlightened the class. Well soaking as you do say,

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Speaker 1: as a Mormon, I guess the Mormon practice. But they're

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Speaker 1: trying to figure out how to have sex, like Mormon

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Speaker 1: teens are trying to figure out how to have sex

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Speaker 1: without offending God, and so they've decided what they can

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Speaker 1: do is is put a penis in a vagina, but

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Speaker 1: not move because it's the friction that is the sex part,

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Speaker 1: So they just kind of slide it in and hang

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Speaker 1: out in there. Oh, it's soaking must for everybody. And

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Speaker 1: then the reason I saw it was because someone was

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Speaker 1: talking about jump pumping, which is when two teens that

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Speaker 1: are soaking will invite a friend over to jump on

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Speaker 1: the bed so that they can get a little friction happening.

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Speaker 1: But they are not doing it, so they're not actually sinning.

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Speaker 1: That can't be true. It was a viral. It was

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Speaker 1: like a viral TikTok. That's a threesome. And second of all,

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Speaker 1: God what you do? And once you breach the palace gates,

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Speaker 1: I believe God is upset at that point. How many

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Speaker 1: times the battering ram is knocking on the gate. Maybe

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Speaker 1: he's more offended. Honestly, you think I'm stupid? Do it right? Right?

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Speaker 1: This was funny because over my eyes, I was like

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Speaker 1: speculating on like that with that idea. You remember, like

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Speaker 1: those like vibrating massage beds you put a quarter in shaking,

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Speaker 1: like were those designed by Mormons. I was always a

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Speaker 1: little confused by that. That like, yeah, that that seems

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Speaker 1: to add a lot of if you refuse to move yourself,

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Speaker 1: then that would be useful. So yeah, maybe it is

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Speaker 1: the soacac change. If you do move normally in sex,

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Speaker 1: why would you want a vibrating bed, wouldn't Yeah, it

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Speaker 1: seems it seems strange. Yeah, like you know, especially if

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Speaker 1: you're just normally having your friend come over to jump

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Speaker 1: on the bed or like shake you guys around a

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Speaker 1: little bit, why would you need a vibrating bed? And

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Speaker 1: what does the friend do? Like do you're like, hey,

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Speaker 1: put these AirPods in right, right, and they're like under

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Speaker 1: the covers I imagine because they're Mormons, probably all the

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Speaker 1: way up to the you know, their heads. And then

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Speaker 1: the friends just jumping on the bed like it was

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Speaker 1: like a friend like a freak and he's just like

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Speaker 1: like bent over, like just over you, like jumping them

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Speaker 1: down like yeah, y'all are next? Yeah, oh my god.

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Speaker 1: I mean you have to imagine that a teenage friend

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Speaker 1: around the age of people who are engaging and soaking

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Speaker 1: would be the last person you could trust to be

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Speaker 1: discreet and not look like that seems like they kind

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Speaker 1: of all go together that be like, no, it's cool,

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Speaker 1: he's not gonna look, he's not gonna look. We're all good,

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Speaker 1: and then like, is it orgy? Like a bunch of

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Speaker 1: people in a bounce house and then while out jumping

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Speaker 1: in there one'm soaking couple in the middle and everyone else. Oh,

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Speaker 1: that's that's called rough sex. Yeah, it's like a Mormon

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Speaker 1: gang bang, I guess or something. Let us know the hacks,

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Speaker 1: you know, if the what other soak cocks are there? Yeah,

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Speaker 1: soaking for for days and days on the San Andreas

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Speaker 1: fault line, just waiting for for the next earthquake, for

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Speaker 1: the big one to come to patients. Yeah, you're a

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Speaker 1: soaking seismologist. Let us I mean in that case, God

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Speaker 1: is actually the one doing the movement, so you could

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Speaker 1: kind of Yeah, I thought you wanted me to have that, right,

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Speaker 1: If you didn't want me to have sex, then yeah.

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Speaker 1: I saw one comment about it that I was like, true,

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Speaker 1: where they're like but when when if? If it's the

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Speaker 1: friction when you put it in and then eventually I

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Speaker 1: assume take it out, Is that not one sex had

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Speaker 1: one will have one sex? Please sir? Yes, that does

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Speaker 1: seem why not count? Does the intern exit part not count?

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Speaker 1: I know that's that's what's funny, Like what's the I'm

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Speaker 1: really I would almost want to sit down with like

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Speaker 1: a teenager who's telling you why it's okay? Yeah? Yeah, same,

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Speaker 1: like what show me what a pump looks like that

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Speaker 1: you would say that's bad and then let me break

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Speaker 1: down for you that those movements are included in the

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Speaker 1: soaking that you're doing. Yes, that's that's where I think. Yeah,

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Speaker 1: you you and I should conduct an interview or something.

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Speaker 1: As your attorney, I would advise that you not do that. Yeah,

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Speaker 1: I probably won't talk to under age people about sex

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Speaker 1: acts in any way. Yeah, sure that I'll take that.

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Speaker 1: I'll take that advice this time to make sense. I

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Speaker 1: do wonder if any parent has ever like walked in

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Speaker 1: on a soaking act and like had the couple like

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Speaker 1: try to justify it to them. We were being perfectly

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Speaker 1: still praying with her mother, go away. I'm praying at

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Speaker 1: the moment. Please. Yes, what is something that you think

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Speaker 1: is overrated? Diana? So many things? Really, I would say

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Speaker 1: sheet masks, if you know what I'm talking about, like

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Speaker 1: a skin care product, the sheet masks that are in

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Speaker 1: those little patches, rip it and you pull it out

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Speaker 1: and you kind of lay it on your face and

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Speaker 1: you look like a weirdo. I hate them. I think

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Speaker 1: there's like trending weight too much. I think they're not useful.

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Speaker 1: They drip all over you. They're not fun to wear.

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Speaker 1: I don't understand them. Just a little bottle and do

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Speaker 1: your face and let it quick slowly tighten over time.

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Speaker 1: That's what I like to get. We've talked before on

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Speaker 1: the show about those masks. I have pitched them as

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Speaker 1: a great mask for a stalker like slasher movie because

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Speaker 1: they are truly terrifying. I've I've definitely been frightened by

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Speaker 1: them just walking into my bedroom and my wife turns

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Speaker 1: around and looks, yeah, like it really does work as

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Speaker 1: a like horrifying. Like if if somebody walked in with

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Speaker 1: one of those on, it would it would really reminded

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Speaker 1: I vividly reminder of like that scene in The Cable

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Speaker 1: Guy where they go to medieval times and Jim Carrey

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Speaker 1: puts all the chicken skin on his face and he's

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Speaker 1: like silence that or the other one, which is what's

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Speaker 1: that movie the Brendan Fraser Baseball movie with Albert Brooks

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Speaker 1: where he's the picture the phenomen or something, Yeah, and

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Speaker 1: in that one, there's like a scene yeah the rookie

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Speaker 1: that he actually like he puts a tortilla on his face,

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Speaker 1: and that also reminds me of it, So I don't know,

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Speaker 1: or the Scout, it's the Scout, the scalt there we go,

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Speaker 1: the old Albert Einstein curt Is. That's what they kind

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Speaker 1: of because they're just kind of hanging off. They don't

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Speaker 1: mold your face and they look weird. When one year

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Speaker 1: our theater company for parade did Depression era Halloween costumes, which,

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Speaker 1: if you want to go on a weird Google image

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Speaker 1: search there they're literally like burlap sacks with holes in them,

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Speaker 1: so they look so terrifying. And then like a few

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Speaker 1: months later they were all on a plane doing one

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Speaker 1: of those white face masks and did a little selfie

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Speaker 1: and I was like, you look exactly good. Have warned

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Speaker 1: that for Halloween. So I think exactly the era Halloween

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Speaker 1: terrifying costume right now, historical Halloween costumes just across the border,

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Speaker 1: very frightening, but yeah, Depression era in particular, Yeah, they

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Speaker 1: remind me of Um. They're sort of the skincare equivalent

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Speaker 1: of the Michael Myers mask, which is like, you know,

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Speaker 1: there's lots of like drama theory around. You know, you

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Speaker 1: have the the like happy mask, the sad mask, and

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Speaker 1: then like the neutral mask. And the neutral mask allows

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Speaker 1: you to like project whatever is inside you, like onto

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Speaker 1: that mask. Which is why Keanu Reeves is so successful

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Speaker 1: is because he is a human neutral mask. But the yeah,

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Speaker 1: it's just blankness that you can put project whatever horrors

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Speaker 1: existing your own line. But you can you can turn

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Speaker 1: it up because they print designs on him. Now for

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Speaker 1: more fun, you know what I mean. Like I've seen

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Speaker 1: some where it will be like a frog face or

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Speaker 1: like a kabuki mask some ship when I was fan,

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Speaker 1: there's like all kinds of graphic ones. I think, just

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Speaker 1: just to bring a little bit of fun to the

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Speaker 1: face mask game. Yeah that makes this sound worse. Yeah,

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Speaker 1: maybe I don't know, kobooky mask turned around and that

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Speaker 1: would be more more comfortable. I don't know. Yeah, I

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Speaker 1: don't think there's any way to get used to it.

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Speaker 1: I think the thing identified the most of what you

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Speaker 1: said was when it drips, like because like you know,

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Speaker 1: they're supposed to be hYP you know, very hydrated. But

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Speaker 1: then I remember the last time I put one on,

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Speaker 1: this was kept going down my neck and I was like,

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Speaker 1: I hated that feeling and it feels awful. Yes, And

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Speaker 1: then I don't know my A lot of my skincare

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Speaker 1: concerns are around my jawline, and then you know, they

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Speaker 1: don't mold your face. So I feel like I'm just like,

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Speaker 1: it's just hanging off and I'm just unhappy. I don't

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Speaker 1: feel like I'm taking care of myself at all. What

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Speaker 1: is something you think is underrated? Oh? Man, I had

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Speaker 1: a hard time with this one. Actually, I'm still on

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Speaker 1: a depression era or masks what You'll have to excuse me.

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Speaker 1: It's just that you're like Jack's like, I'm sorry, i

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Speaker 1: haven't been listening this entire time. I'm still looking at

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Speaker 1: these masks like ending the show. They are good though.

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Speaker 1: If you want a scary costume, just go back to

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Speaker 1: history and get one of their weird cheap things. You

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Speaker 1: will look like a horror show. Yeah. Um, I think

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Speaker 1: you know what's underrated? He's hanging out without having anything

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Speaker 1: specific to do. I feel like, like, you know, I'm

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Speaker 1: in my thirties, so I feel like people have a

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Speaker 1: harder time hanging out. So they're always like, well, let's

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Speaker 1: get together and do something specific dinner, a movie, a thing, whatever,

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Speaker 1: and if you don't, like I don't always have something

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Speaker 1: on my mind that I want to do, but I'm like,

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Speaker 1: there's people I want to spend time with, and I

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Speaker 1: wish it was easy to kind of be like, can

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Speaker 1: we just like sit together quietly. I don't know, have

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Speaker 1: anything specific going on, We're just hanging out. Yeah, that's

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Speaker 1: a great call. I really like that idea of like

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Speaker 1: hanging out without an agenda, because I when I look

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Speaker 1: at how my relationships evolved, like from my twenties or

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Speaker 1: teens into my thirties, is like, most of the time

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Speaker 1: we were hanging out with no fucking agenda ever, and

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Speaker 1: then there's this weird thing of getting older where like

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Speaker 1: your time seems more precious and like things have to

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Speaker 1: get done. But then some of the best times you

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Speaker 1: have were just hanging out with somebody. They come over

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Speaker 1: and you fucking do nothing. Maybe you look at a

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Speaker 1: couple of YouTube videos and laugh at some ship or whatever,

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Speaker 1: and then you're like, damn, that was that was great.

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Speaker 1: I didn't I have to think of anything, which could

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Speaker 1: just be you know, immature, or just be in our

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Speaker 1: in each other's company. Yeah, totally and you have to

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Speaker 1: like get a head count for dinner reservation or whatever,

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Speaker 1: you know, like just no plans. I just want to

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Speaker 1: see you. You're my plans. I'm very bad at doing that.

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Speaker 1: I really want to get it together, Diana. You are

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Speaker 1: my plan. Okay, I'll all right. I guess you'll adjust

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Speaker 1: my invitation. What's on your face? Don't worry, We're going

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Speaker 1: to have a great time. What are you projecting that's

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Speaker 1: on my face? What do you think is on agenda?

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Speaker 1: Free hangouts you know, or no plan hangouts? I love that. Yeah,

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Speaker 1: let's get it back. Because what was like what would

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Speaker 1: you do? Yeah? Jack, you know like in your like

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Speaker 1: I feel like college right is true? I mean aside

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Speaker 1: from being like we're gonna drink or something, there was

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Speaker 1: still just like what are you doing right now? Like

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Speaker 1: just chilling? They'll come through, Yeah, yeah, great? House is

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Speaker 1: dirty or something like don't worry. If you're a friend,

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Speaker 1: you don't, I don't care what your house looks like.

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Speaker 1: You've ever said that in my life. I like that.

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Speaker 1: I love a world where I think about that dirty.

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Speaker 1: I think that just reveals that your house is never

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Speaker 1: as dirty as mine is, because I don't know, well, look,

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Speaker 1: I'll do a panic clean. I just gave up a

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Speaker 1: long time ago, prone to a last minute clean up

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Speaker 1: before somebody comes over. Yeah, well this is why I

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Speaker 1: miss having parties, because having a party was such a

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Speaker 1: great excuse to like clean, like, well, have a party

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Speaker 1: just because we'll get the house together. But now we

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Speaker 1: don't have parties anymore because you know. Yeah, and then

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Speaker 1: just low key like judge your friends who don't clean

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Speaker 1: up before they leave. They're like, yeah, I gotta go there,

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Speaker 1: like you brought all this ship and it's a mess,

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Speaker 1: but you're just gonna all right. And then you have

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Speaker 1: like that new friends, like let me help you clean up.

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Speaker 1: You're like I never expected you to be Wow, yeah,

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Speaker 1: I love you now. The one time Miles came to

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Speaker 1: my house, he and On both were like hung around

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Speaker 1: and cleaned up after and oh yeah, well yeah that

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Speaker 1: was me favorite favorite person. Yeah yeah, because we're just like,

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Speaker 1: I'm sorry, man, I can't let this our mother's voices,

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Speaker 1: it's right now and there's no way I could leave

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Speaker 1: watching someone else clean me and my wife just watched

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Speaker 1: you or just yeah there's a little a little bit

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Speaker 1: over there in the corner. Yeah, but you're dust into

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Speaker 1: the bathroom. They're like, yeah, yeah, someone made a mess

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Speaker 1: in there. If you don't mind. This becomes a little

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Speaker 1: bit easier when you have kids, if the other people

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Speaker 1: have kids, because then you just call it a play date.

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Speaker 1: But it just means like your kids are running around

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Speaker 1: chasing each other. Well you sit back. But that is

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Speaker 1: also a pretense, right that, uh, they have to have kids,

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Speaker 1: which is limiting. And I said, Jack, let's have a

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Speaker 1: played it, and you're like, get a kid, Get a kid, bro,

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Speaker 1: And you're like, all right, give me fifteen minutes. All right,

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

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Speaker 1: talk news. And we're back, and things are continuing to

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Speaker 1: develop in Congress. The reaction to Nancy Pelosi's decision to

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Speaker 1: decouple the infrastructure bill and the three point five trillion

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Speaker 1: reconciliation bill has ramped up. People are predictably not psyched.

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Speaker 1: Yeah yeah it uh, it's like it started off just

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Speaker 1: being like, yeah, maybe we'll vote on him separately. That

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Speaker 1: was just again was not going to fly with the

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Speaker 1: Progressive Caucus. She tried to then sort of disingenuously suggest

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Speaker 1: that like, well, we got to do the bipartisan bill first,

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Speaker 1: like we gotta do it like way quicker because it

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Speaker 1: might jeopardize highway funding. That wasn't true, and just like

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Speaker 1: a very weird thing to say. And I think a

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Speaker 1: lot of progressive progressives felt that they were going to

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Speaker 1: do the same thing that's been happening for many years

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Speaker 1: with the Progressive Caucus, which is they have real concerns,

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Speaker 1: they try and exert some leverage, but they won't have

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Speaker 1: enough folks to do it. Nancy Pelosi will then be

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Speaker 1: like yeah, yeah, yeah, more on that later, wave them

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Speaker 1: out of the room, and deliver a very watered down

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Speaker 1: bill that like a lot of activists and progressives are like,

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Speaker 1: this fucking miss is the whole point, Like you just

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Speaker 1: did this to pat yourself on the back, Like we

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Speaker 1: actually need to change things fundamentally, and every time we

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Speaker 1: get to a point to do this, we get tossed

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Speaker 1: aside and then it's in service of a larger corporate agenda.

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Speaker 1: And this is you know, they feel that that's happening again,

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Speaker 1: and this time things are just very different. There's possibly

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Speaker 1: possibly up to thirty four Democrats that will tank the

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Speaker 1: bipartisan bill because you know, as we record, their scheduled

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Speaker 1: to vote on this today, and if that were to happen,

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Speaker 1: I don't see how that passes without those votes because

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Speaker 1: there's only a three vote margin that the Democrats have.

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Speaker 1: And then if you even get some Republicans who want

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Speaker 1: the bipartisans sticker on their report card for the mid terms,

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Speaker 1: which is what all these other centrists want, it's gonna

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Speaker 1: it's still gonna be really difficult. And I just want

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Speaker 1: to say, like again, there's a reason why they're putting

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Speaker 1: up such a big fight over this three point five

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Speaker 1: trillion dollar Build Back Better whatever, big baller brand Act.

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Speaker 1: Thing that is very important when it comes to policy,

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Speaker 1: rather than just saying, like very clearly the thing that

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Speaker 1: will make your life easier, it's things like paid family leave,

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Speaker 1: expanded child tax credits, universal pre k, free community college,

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Speaker 1: expanding Medicare to cover vision and dental, like actual, you know,

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Speaker 1: a legit effort to try and come back climate change.

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Speaker 1: This is why, like you know, progressive like yeah, this

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Speaker 1: is the version that really needs to go like that, Okay,

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Speaker 1: how are we gonna pay for that? Here's how we're

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Speaker 1: gonna pay for that. Because you want more he wants

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Speaker 1: some more change. This is what this is what it

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Speaker 1: could be, closing tax loopholes for private equity managers and

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Speaker 1: wealthy wealthy heirs, increasing the corporate tax rate, raising the

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Speaker 1: top individual tax rate, imposing it three sir tax on

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Speaker 1: income over five million dollars, increasing better tax enforcement with

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Speaker 1: the I R S to go after fucking people who

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Speaker 1: have just been letting money blow in the wind, and

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Speaker 1: allowing Medicare to negotiate drug prices. And we already saw

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Speaker 1: that last bit what corporate democrats were doing, saying like, oh, yeah,

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Speaker 1: I'm against this because well hold on, let me, let

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Speaker 1: me let the lobbyists tell me what I'm why, because

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Speaker 1: it will stifle private sector innovation. And you had you

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Speaker 1: had an answer for that. I I usually just say

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Speaker 1: how you pay for it? And uh, conversation ship. Yeah,

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Speaker 1: this is the whole platform. And that's why this is

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Speaker 1: so important, Like because progressives are like, you can't keep

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Speaker 1: doing this thing where you promise people a bunch of

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Speaker 1: ships in the in the pursuit of office and then

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Speaker 1: not deliver or deliver a fraction of it. And this

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Speaker 1: is what they're holding out for. And yeah, I I

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Speaker 1: feel for these people in the progressive caucus because it's

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Speaker 1: a fucking hard job. You are having to be very

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Speaker 1: strategic because you know, at this point you will this

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Speaker 1: is this is one of the few chances that we

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Speaker 1: have it a bill that actually looks like progress in

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Speaker 1: any kind of way. Yeah. Yeah, And Kirsen Cinema is

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Speaker 1: just getting absolutely rained on with corporate dollars right now,

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Speaker 1: Like there's is it so with without them, they can't

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Speaker 1: do the bipartisans We should stop calling it bipartisan the

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Speaker 1: republican like you know, mangled version, So like who is

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Speaker 1: saying no to like other than Republicans, who is saying

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Speaker 1: no to the actual like build back better. Well, the

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Speaker 1: whole thing is because they have to pass it through

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Speaker 1: reconciliation in the Senate, and which means Cinema and Mansion

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Speaker 1: need to get on board. But they keep doing stuff

424
00:25:14,640 --> 00:25:16,680
Speaker 1: like to your point, with Kirsten Cinema, She's just do

425
00:25:16,800 --> 00:25:20,400
Speaker 1: a huge fundraiser with like some of the biggest business

426
00:25:20,480 --> 00:25:24,000
Speaker 1: lobbying groups paying for it. It was like almost six

427
00:25:24,119 --> 00:25:27,760
Speaker 1: grand a seat type fundraising dinner and and at the

428
00:25:27,840 --> 00:25:31,160
Speaker 1: place at the place she's like, I'm against raising taxes

429
00:25:31,400 --> 00:25:33,199
Speaker 1: and a lot of this stuff that you asked the

430
00:25:33,240 --> 00:25:35,800
Speaker 1: how will they pay for it part she was against

431
00:25:35,880 --> 00:25:37,919
Speaker 1: a lot of that stuff in this room full of

432
00:25:37,960 --> 00:25:41,360
Speaker 1: wealthy you know, the in the wealthy business class, and

433
00:25:42,040 --> 00:25:44,119
Speaker 1: she's not really clear on what she wants to do.

434
00:25:44,359 --> 00:25:47,080
Speaker 1: Joe Mansion again, who's like the boy made of coal?

435
00:25:47,600 --> 00:25:50,560
Speaker 1: There's no way to understand what his math is as

436
00:25:50,640 --> 00:25:54,040
Speaker 1: because I mean he's he is a fossil fuel like byproduct,

437
00:25:54,119 --> 00:25:56,919
Speaker 1: so how could he get on board with climate change stuff?

438
00:25:57,480 --> 00:25:59,520
Speaker 1: But there's a lot of this stuff in this that

439
00:25:59,640 --> 00:26:01,720
Speaker 1: is pulled is really strongly in West. I was just

440
00:26:01,720 --> 00:26:04,720
Speaker 1: going to say this is also popular, like closing tax

441
00:26:04,760 --> 00:26:09,040
Speaker 1: loopholes for private equity managers like who is Like I'm

442
00:26:09,080 --> 00:26:12,000
Speaker 1: sure they're going to have to change the focus here,

443
00:26:12,080 --> 00:26:15,679
Speaker 1: but like these are great answers to the question of

444
00:26:15,680 --> 00:26:17,320
Speaker 1: how are you gonna pay for it? Is we're gonna

445
00:26:17,400 --> 00:26:20,280
Speaker 1: tax rich people, and not in a way that like

446
00:26:20,680 --> 00:26:24,679
Speaker 1: we're we're going to make them pay taxes and like

447
00:26:24,960 --> 00:26:29,159
Speaker 1: close loopholes, like we're gonna make them played by the

448
00:26:29,200 --> 00:26:31,600
Speaker 1: same rules as you. Yeah, you know how you look

449
00:26:31,640 --> 00:26:34,560
Speaker 1: at your paycheck and go fuck man, if those taxes

450
00:26:34,560 --> 00:26:37,640
Speaker 1: weren't in there, I'm be loving this ship. Well guess

451
00:26:37,680 --> 00:26:40,440
Speaker 1: who Guess who does out of time billionaires, they don't

452
00:26:40,440 --> 00:26:44,760
Speaker 1: do it, and they look at their checks like yeah,

453
00:26:45,160 --> 00:26:48,680
Speaker 1: and it's It's a really interesting dynamic because I think

454
00:26:48,720 --> 00:26:51,240
Speaker 1: mansion and cinema are finding themselves at a point where

455
00:26:52,040 --> 00:26:56,160
Speaker 1: these policies are wildly popular, but they are way too

456
00:26:56,320 --> 00:27:00,480
Speaker 1: entrenched in the corporate wing of the Democratic Party to

457
00:27:00,640 --> 00:27:04,359
Speaker 1: begin to turn on their their their masters. You know

458
00:27:04,520 --> 00:27:07,439
Speaker 1: that they are unable to because the things that we're saying,

459
00:27:07,640 --> 00:27:10,000
Speaker 1: We're like, yeah, this is great for everybody except the

460
00:27:10,040 --> 00:27:12,240
Speaker 1: people with the most money who spend the most money

461
00:27:12,240 --> 00:27:15,800
Speaker 1: trying to influence Congress. And that's why we're seeing people like,

462
00:27:15,840 --> 00:27:18,320
Speaker 1: what does this makes sense? Like this is wildly popular. Ye,

463
00:27:18,359 --> 00:27:22,680
Speaker 1: you're saying no, yeah, O frustrate. Let's move over to

464
00:27:22,720 --> 00:27:25,240
Speaker 1: the world of tech. Because I'm tired of being frustrated.

465
00:27:25,680 --> 00:27:33,240
Speaker 1: I'm ready for some strong, timely, swift maneuvers. And therefore

466
00:27:33,440 --> 00:27:37,560
Speaker 1: I want to talk YouTube because they you know, right

467
00:27:37,760 --> 00:27:42,800
Speaker 1: on Q about yeah, right on que and on. Three

468
00:27:42,880 --> 00:27:48,439
Speaker 1: years later, YouTube announced a ban on vaccine misinformation and

469
00:27:48,480 --> 00:27:52,119
Speaker 1: the termination of the accounts of several you know, prominent

470
00:27:52,119 --> 00:27:57,240
Speaker 1: anti vaccine influencers, including Robert F. Kennedy Jr. Who seems

471
00:27:57,240 --> 00:27:59,840
Speaker 1: to be the one that like the causes his name,

472
00:28:00,160 --> 00:28:04,280
Speaker 1: like pull people who are on the edge or like

473
00:28:04,359 --> 00:28:07,679
Speaker 1: on the border between anti bax or and you know,

474
00:28:07,840 --> 00:28:11,440
Speaker 1: just have questions over to the ANTIAX side. But yeah,

475
00:28:11,560 --> 00:28:14,679
Speaker 1: the new policy was crafted as the company began to

476
00:28:14,720 --> 00:28:18,880
Speaker 1: see false claims about COVID nineteen vaccines spill over into

477
00:28:18,880 --> 00:28:25,680
Speaker 1: misinformation about vaccines in general. According to a company blog post, yeah,

478
00:28:25,720 --> 00:28:31,880
Speaker 1: I mean this feels again years too late. Years and

479
00:28:32,080 --> 00:28:35,880
Speaker 1: I think the increased scrutiny around vaccine and COVID misinformation

480
00:28:35,880 --> 00:28:39,440
Speaker 1: in the last you know, nineteen twenty months finally got

481
00:28:39,480 --> 00:28:42,600
Speaker 1: them to act. There the company, they say, quote, we're

482
00:28:42,600 --> 00:28:45,040
Speaker 1: now at a point where it's more important than ever

483
00:28:45,200 --> 00:28:48,240
Speaker 1: to expand the work we started with COVID nineteen to

484
00:28:48,440 --> 00:28:52,080
Speaker 1: other vaccines. And you're like, yeah, this is this is

485
00:28:52,120 --> 00:28:54,120
Speaker 1: so late. This is always say and they've always had

486
00:28:54,120 --> 00:28:58,360
Speaker 1: a quote unquote policy against COVID misinformation, but it didn't

487
00:28:58,360 --> 00:29:01,160
Speaker 1: seem very effective because half the time I felt like

488
00:29:01,160 --> 00:29:04,880
Speaker 1: people were like reposting terrible YouTube links with some nonsense

489
00:29:04,920 --> 00:29:08,600
Speaker 1: in it. And there's their thesis here seems to be

490
00:29:08,680 --> 00:29:13,720
Speaker 1: that because COVID misinformation is spilling over to misinformation about

491
00:29:13,800 --> 00:29:18,120
Speaker 1: other vaccines. That's the breaking point, Like even though we're

492
00:29:18,160 --> 00:29:20,920
Speaker 1: in the middle of a fucking like global pandemic that's

493
00:29:21,040 --> 00:29:24,960
Speaker 1: killing you know, millions of people like I. I and

494
00:29:25,000 --> 00:29:28,200
Speaker 1: the anti vaccine movement started years ago, and that's they

495
00:29:28,280 --> 00:29:32,360
Speaker 1: already had a very strong platform to start with with COVID.

496
00:29:32,480 --> 00:29:37,320
Speaker 1: So it's like it's filling over to other vaccines at

497
00:29:37,400 --> 00:29:40,560
Speaker 1: this are existing things spilled over to a pandemic and

498
00:29:40,600 --> 00:29:43,520
Speaker 1: it got bigger because everyone has to care, right, they're

499
00:29:43,560 --> 00:29:46,160
Speaker 1: just misdiagnosing it completely. They're like, no, no, no, that

500
00:29:46,240 --> 00:29:50,640
Speaker 1: already has been happened. Now you're worried about the thing.

501
00:29:51,160 --> 00:29:53,760
Speaker 1: I mean, now that Nazism is on the rise, we're

502
00:29:53,760 --> 00:29:57,200
Speaker 1: thinking about like we're just figuring that out now. It

503
00:29:57,240 --> 00:30:00,520
Speaker 1: seems like completely out of order. And you know, they

504
00:30:00,560 --> 00:30:03,880
Speaker 1: had this like you know, specific policy, but now they

505
00:30:03,920 --> 00:30:05,800
Speaker 1: want to just make sure that it's like all kinds

506
00:30:05,800 --> 00:30:09,080
Speaker 1: of content, that stuff saying that falsely claims approved vaccines

507
00:30:09,120 --> 00:30:12,400
Speaker 1: are dangerous or ineffective or even like medical treatments that

508
00:30:12,440 --> 00:30:15,719
Speaker 1: aren't properly that have not been approved to you know,

509
00:30:15,800 --> 00:30:18,240
Speaker 1: take that kind of shift off and you know, and

510
00:30:18,280 --> 00:30:21,200
Speaker 1: also the stuff that vaccines can cause autism or cancer,

511
00:30:21,760 --> 00:30:26,880
Speaker 1: And sadly, the anti vaxxers may have already gotten what

512
00:30:26,920 --> 00:30:30,680
Speaker 1: they want because they are very good at shape shifting

513
00:30:30,800 --> 00:30:34,320
Speaker 1: on the Internet to like dodge moderation and use different

514
00:30:34,360 --> 00:30:39,160
Speaker 1: hashtags or language to like escape the very intelligent algorithms.

515
00:30:39,720 --> 00:30:41,680
Speaker 1: And you know, the whole their whole point was they

516
00:30:41,680 --> 00:30:44,880
Speaker 1: wanted to weaponize the COVID vaccine fear to get more

517
00:30:44,960 --> 00:30:51,480
Speaker 1: people to question all vaccines. You know. And there's this researcher,

518
00:30:51,960 --> 00:30:55,640
Speaker 1: Renee Arresta who it leads their research on anti vacs

519
00:30:55,720 --> 00:30:59,280
Speaker 1: disinformation at the Stanford Internet Observatories. She said, quote anti

520
00:30:59,360 --> 00:31:01,760
Speaker 1: vaccine active this have been very vocal about the fact

521
00:31:01,840 --> 00:31:05,040
Speaker 1: that they saw COVID as an opportunity to undermine confidence

522
00:31:05,080 --> 00:31:08,880
Speaker 1: in the childhood vaccine schedule. Seeing YouTube take this action

523
00:31:09,000 --> 00:31:10,720
Speaker 1: is reflective of the fact that it seems to be

524
00:31:10,760 --> 00:31:14,200
Speaker 1: aware that that tactic and dynamic was beginning to really

525
00:31:14,240 --> 00:31:17,840
Speaker 1: take shape. Now we're on a precipice, basically saying that

526
00:31:17,920 --> 00:31:21,000
Speaker 1: like the approval for COVID vaccines for like young kids

527
00:31:21,040 --> 00:31:24,080
Speaker 1: like coming in the next few weeks would just open

528
00:31:24,160 --> 00:31:28,200
Speaker 1: the floodgates to even more wild ship to to get

529
00:31:28,280 --> 00:31:31,400
Speaker 1: parents like very fearful and says, quote, it is going

530
00:31:31,440 --> 00:31:34,240
Speaker 1: to be an absolute nightmare. The plan from day one

531
00:31:34,400 --> 00:31:37,600
Speaker 1: has always been to use those stories to undermine confidence

532
00:31:37,640 --> 00:31:41,360
Speaker 1: in vaccines more generally. I mean that, Okay, that makes

533
00:31:41,400 --> 00:31:43,840
Speaker 1: sense that they're doing this now, because there there was

534
00:31:44,440 --> 00:31:49,120
Speaker 1: other articles like super producer DJ Dramas put an article

535
00:31:49,960 --> 00:31:52,320
Speaker 1: that was talking It was a bunch of healthcare experts

536
00:31:52,440 --> 00:31:58,040
Speaker 1: talking about the concern that this was going that they

537
00:31:58,040 --> 00:32:01,840
Speaker 1: were seeing vaccination levels drop in like across the board,

538
00:32:01,880 --> 00:32:04,800
Speaker 1: and just not just COVID stuff things, but they were

539
00:32:04,800 --> 00:32:09,120
Speaker 1: seeing like children's vaccinations drop off. And in the article

540
00:32:09,200 --> 00:32:12,600
Speaker 1: they were claiming that it was just based on people

541
00:32:12,800 --> 00:32:14,920
Speaker 1: being less likely to want to go to the hospital

542
00:32:14,960 --> 00:32:19,720
Speaker 1: because of the pandemic. But this makes more sense because

543
00:32:19,720 --> 00:32:23,800
Speaker 1: I mean, those diseases are a lot of times way

544
00:32:23,840 --> 00:32:29,280
Speaker 1: more dangerous to children, and so they're endangering children in

545
00:32:29,320 --> 00:32:32,760
Speaker 1: a in a very real way right with unbeknownst to them.

546
00:32:32,760 --> 00:32:36,080
Speaker 1: It's like the real all that false sense of safety

547
00:32:36,160 --> 00:32:39,320
Speaker 1: was because people were vaccinated, and then that these are

548
00:32:39,400 --> 00:32:44,440
Speaker 1: actual diseases that affect children very acutely that you know

549
00:32:44,440 --> 00:32:46,760
Speaker 1: a lot of people are very worried about, like these

550
00:32:47,000 --> 00:32:52,040
Speaker 1: smaller outbreaks happening of like fully preventable diseases that we've

551
00:32:52,040 --> 00:32:56,560
Speaker 1: been trying to eradicate through vaccination. Yeah. Cool, that's good

552
00:32:56,600 --> 00:33:01,880
Speaker 1: that that's their stated strategy. Yeah, and I mean it's yeah,

553
00:33:02,160 --> 00:33:05,480
Speaker 1: it's yeah, they're their community building. You know, we are

554
00:33:05,920 --> 00:33:09,920
Speaker 1: headed for just an absolute ship storm once uh, you

555
00:33:09,920 --> 00:33:13,720
Speaker 1: know the f d A approves vaccines for five to

556
00:33:14,720 --> 00:33:19,480
Speaker 1: twelve year olds, because you know, that's that's still like

557
00:33:19,520 --> 00:33:23,160
Speaker 1: I know a lot of parents who are like, you know,

558
00:33:23,520 --> 00:33:27,840
Speaker 1: got the vaccine themselves, but are on on some wait

559
00:33:27,880 --> 00:33:31,840
Speaker 1: and see ship about children's vaccines or this vaccine in

560
00:33:31,880 --> 00:33:35,320
Speaker 1: particular for children. And you know, I think parents are

561
00:33:35,400 --> 00:33:39,960
Speaker 1: more likely to be extremely cautious and virgin on paranoid

562
00:33:39,960 --> 00:33:43,280
Speaker 1: when it comes to the health of their children. But yeah,

563
00:33:43,320 --> 00:33:46,320
Speaker 1: I think it's going to be a real ship show.

564
00:33:46,560 --> 00:33:49,160
Speaker 1: So it's good that they're doing something at least. I

565
00:33:49,160 --> 00:33:51,920
Speaker 1: think that's why it's particularly insidious to have this be

566
00:33:52,080 --> 00:33:56,240
Speaker 1: your your mechanism to create more vaccine hesitancy. Is like,

567
00:33:56,320 --> 00:33:59,560
Speaker 1: you know already that parents would do anything to keep

568
00:33:59,600 --> 00:34:03,840
Speaker 1: their kids safe, fucking anything, most healthy parents, and to

569
00:34:04,040 --> 00:34:07,200
Speaker 1: then capitalize on that fear and distort reality to the

570
00:34:07,200 --> 00:34:10,920
Speaker 1: point where they're even questioning what their pediatrician would suggest

571
00:34:10,960 --> 00:34:14,759
Speaker 1: for the livelihood of their child is like it's it's

572
00:34:14,800 --> 00:34:17,840
Speaker 1: fucking terrible and you and for all the people who

573
00:34:17,960 --> 00:34:21,280
Speaker 1: would wait and see. Man, there's so many fucking articles

574
00:34:21,320 --> 00:34:23,880
Speaker 1: about these wait and see people who are being like,

575
00:34:24,040 --> 00:34:27,080
Speaker 1: don't wait and see, Like we waited and found out

576
00:34:27,560 --> 00:34:30,160
Speaker 1: and it wasn't it wasn't the right move at all.

577
00:34:30,280 --> 00:34:32,799
Speaker 1: And we're like, like, you know, people are talking about

578
00:34:32,800 --> 00:34:35,439
Speaker 1: like we got the vaccination like this second my dad

579
00:34:35,560 --> 00:34:38,239
Speaker 1: flatlined like in the in the I see you like

580
00:34:38,280 --> 00:34:42,120
Speaker 1: because we knew, like we were stupid, right, and yeah,

581
00:34:42,200 --> 00:34:45,120
Speaker 1: even with and it's wild though too. How you know,

582
00:34:45,120 --> 00:34:48,040
Speaker 1: there are there are there are children unfortunately who are

583
00:34:48,080 --> 00:34:51,880
Speaker 1: succumbing to the virus and even like young like teenagers

584
00:34:51,880 --> 00:34:54,640
Speaker 1: and things like that. But I'm not sure how much

585
00:34:54,640 --> 00:34:57,000
Speaker 1: of that is like being reported because it seems like

586
00:34:57,040 --> 00:35:00,440
Speaker 1: you get more of these like morbid like deathbeds worries

587
00:35:00,600 --> 00:35:03,200
Speaker 1: from like ant like like really out in the open

588
00:35:03,239 --> 00:35:06,480
Speaker 1: anti vax people who are now regretting it versus like

589
00:35:06,520 --> 00:35:09,680
Speaker 1: really showing like the actual pain that is caused by

590
00:35:09,760 --> 00:35:13,640
Speaker 1: family when they lose like a younger loved one. Yeah,

591
00:35:13,760 --> 00:35:17,520
Speaker 1: I think people generally like don't want to see children

592
00:35:17,840 --> 00:35:20,799
Speaker 1: hurt like on the news. So but I mean it's

593
00:35:21,280 --> 00:35:24,120
Speaker 1: when that is the subject that is being determined, like

594
00:35:24,160 --> 00:35:28,480
Speaker 1: you need to take a fucking look, you know, and yeah,

595
00:35:28,520 --> 00:35:31,759
Speaker 1: the wait and see thing is, Yeah, that's the that's

596
00:35:31,800 --> 00:35:35,120
Speaker 1: the thing I've heard a lot of parents like ask

597
00:35:35,680 --> 00:35:39,279
Speaker 1: doctors about, and you know, they're there's very good like

598
00:35:39,320 --> 00:35:42,960
Speaker 1: look into it, not from not on Facebook, but look

599
00:35:43,000 --> 00:35:46,080
Speaker 1: at like actual scientific research on it. Yes, they were

600
00:35:46,120 --> 00:35:50,080
Speaker 1: able to get this approved faster than any vaccine before,

601
00:35:50,200 --> 00:35:52,840
Speaker 1: but it was because so many people are working on

602
00:35:52,880 --> 00:35:56,319
Speaker 1: it because of fucking global pandemic and they were really

603
00:35:56,320 --> 00:35:59,760
Speaker 1: good at their jobs, and and the technology date dates

604
00:35:59,800 --> 00:36:04,040
Speaker 1: back for like over a decade I think actually m

605
00:36:04,120 --> 00:36:06,600
Speaker 1: RNA technology or whatever. So it's like, I know, it's

606
00:36:06,640 --> 00:36:10,360
Speaker 1: a fast vaccine, but it was really they had something

607
00:36:10,440 --> 00:36:13,279
Speaker 1: existing that they just had to spend the year customizing

608
00:36:13,440 --> 00:36:18,240
Speaker 1: for this virus instead of like we started from scratch

609
00:36:18,239 --> 00:36:21,320
Speaker 1: and it only took us a year. That's not what happens.

610
00:36:22,120 --> 00:36:24,400
Speaker 1: It's and it's wild to like even you know, I

611
00:36:24,440 --> 00:36:28,560
Speaker 1: have family who's vaxed heavy and when I talked to

612
00:36:28,640 --> 00:36:31,840
Speaker 1: them as I work on them to come around to

613
00:36:31,920 --> 00:36:36,080
Speaker 1: what's happening. It's interesting how much they are taking just

614
00:36:36,160 --> 00:36:40,279
Speaker 1: a headline and not really interested in anything else. Like

615
00:36:40,440 --> 00:36:42,640
Speaker 1: my one relative was like, well, aren't you worried about

616
00:36:42,840 --> 00:36:45,160
Speaker 1: like really like this thing that we tell the time, like, well,

617
00:36:45,200 --> 00:36:47,560
Speaker 1: what about your genet like your d n A. Aren't

618
00:36:47,600 --> 00:36:49,759
Speaker 1: you worried that? It's like it's like a it's like

619
00:36:49,800 --> 00:36:52,399
Speaker 1: a genetic thing that it is not going to change

620
00:36:52,480 --> 00:36:56,440
Speaker 1: or I'm like, that's not it's not altering your d

621
00:36:56,560 --> 00:36:59,560
Speaker 1: n A. It's in fact, it's it's a messenger RNA.

622
00:36:59,640 --> 00:37:02,160
Speaker 1: It's time on your immune system created very specific and

623
00:37:02,560 --> 00:37:06,080
Speaker 1: just explaining things like that, they're like oh, and I'm

624
00:37:06,120 --> 00:37:08,279
Speaker 1: like so yeah, like that's I'm a little worried that

625
00:37:08,320 --> 00:37:10,319
Speaker 1: you thought that's what was happening, because just because the

626
00:37:10,360 --> 00:37:12,040
Speaker 1: word r n A was in and I'm like, do

627
00:37:12,080 --> 00:37:13,279
Speaker 1: you even I mean, I didn't want to be like

628
00:37:13,320 --> 00:37:16,600
Speaker 1: do you know what ury is? But uh, just to

629
00:37:16,680 --> 00:37:20,759
Speaker 1: say right right right, but just to slightly just here.

630
00:37:20,960 --> 00:37:23,600
Speaker 1: I really before I would take a very heavy hand

631
00:37:23,800 --> 00:37:27,440
Speaker 1: and just be like I'm talking about and the more

632
00:37:27,440 --> 00:37:28,839
Speaker 1: I'm just like, no, you know what, I just need

633
00:37:28,880 --> 00:37:30,480
Speaker 1: to take this as if someone is telling me to

634
00:37:30,560 --> 00:37:33,840
Speaker 1: have like a bad opinion on music. So what do

635
00:37:33,880 --> 00:37:37,359
Speaker 1: you believe is the best album of all time? Oh? Okay,

636
00:37:37,400 --> 00:37:40,239
Speaker 1: well let me tell you about that really quick, and

637
00:37:40,520 --> 00:37:43,560
Speaker 1: what's going on here? And that seemed to actually give

638
00:37:43,640 --> 00:37:46,239
Speaker 1: them a little bit more like give them a reason

639
00:37:46,280 --> 00:37:49,640
Speaker 1: to actually read something. Yeah, they were like, oh I

640
00:37:49,680 --> 00:37:51,440
Speaker 1: thought it was this. I'm like, no, not at all,

641
00:37:51,520 --> 00:37:53,880
Speaker 1: and like I can, I'll send you some stuff to

642
00:37:53,920 --> 00:37:56,960
Speaker 1: look at very you know, like USA Today type stuff,

643
00:37:57,080 --> 00:38:01,319
Speaker 1: no agenda, just to read it. And that seemed to

644
00:38:01,360 --> 00:38:03,799
Speaker 1: help thaw things a little bit or at least begin

645
00:38:03,880 --> 00:38:06,479
Speaker 1: a process where it's more open to discussing what their

646
00:38:06,560 --> 00:38:09,880
Speaker 1: own misgivings or ideas that they had around it, or

647
00:38:09,880 --> 00:38:12,759
Speaker 1: how that could change. That sounds nice. I guess that's

648
00:38:12,800 --> 00:38:15,279
Speaker 1: been the most frustrating to me is that people keep saying, well,

649
00:38:15,280 --> 00:38:17,279
Speaker 1: I'm gonna have to do my research, and I'm like

650
00:38:17,360 --> 00:38:19,520
Speaker 1: waiting for you to do the research, because if you did,

651
00:38:20,040 --> 00:38:22,600
Speaker 1: you would find a lot of good information that that

652
00:38:22,719 --> 00:38:25,200
Speaker 1: it's fine, you know what I mean. And as if

653
00:38:25,239 --> 00:38:27,920
Speaker 1: people that got the vaccine didn't also look some ship

654
00:38:28,080 --> 00:38:31,120
Speaker 1: up before they got their shots, I mean, I don't know.

655
00:38:31,520 --> 00:38:33,359
Speaker 1: I'd be like, would you prefer that the person who

656
00:38:33,400 --> 00:38:36,879
Speaker 1: created the vaccine checked like learned everything from YouTube. Would

657
00:38:36,920 --> 00:38:42,480
Speaker 1: that make you feel comfortable? Yeah? There, I just think

658
00:38:42,520 --> 00:38:44,760
Speaker 1: it's funny that you thank you. I'll say today doesn't

659
00:38:44,800 --> 00:38:48,960
Speaker 1: have a genda. You know, they're owned by somebody miles

660
00:38:49,520 --> 00:38:53,040
Speaker 1: all the money or a money. Look at the colorful

661
00:38:53,080 --> 00:38:57,279
Speaker 1: patchart big and you will ye, Big Big Inc. Big

662
00:38:57,280 --> 00:39:01,640
Speaker 1: Color Inc. The full color isn't always full. I think

663
00:39:01,680 --> 00:39:08,479
Speaker 1: that's front or something. All right, let's take a quick

664
00:39:08,480 --> 00:39:21,439
Speaker 1: break and we'll be right back. And we're back, and

665
00:39:21,600 --> 00:39:26,880
Speaker 1: I wanted to talk about Amazon Amazon company towns. Baby,

666
00:39:27,880 --> 00:39:32,399
Speaker 1: just try not to open up your zillo, your red

667
00:39:32,480 --> 00:39:37,279
Speaker 1: fins immediately and start looking for real estate inside an

668
00:39:37,280 --> 00:39:40,000
Speaker 1: Amazon company town while we do this story. I know

669
00:39:40,040 --> 00:39:44,359
Speaker 1: it's going to be tempting. But Bloomberg heralded how the

670
00:39:44,400 --> 00:39:48,600
Speaker 1: promise of Amazon factory towns in a recent article will

671
00:39:48,760 --> 00:39:54,600
Speaker 1: lift the working class, offering a solution to inequality, presumably

672
00:39:54,680 --> 00:39:57,560
Speaker 1: because it was written by a stack of Amazon smiles

673
00:39:57,560 --> 00:40:03,080
Speaker 1: in a trench coat. There communities that are basically already

674
00:40:03,080 --> 00:40:07,080
Speaker 1: sprouting up around Amazon fulfillment centers, and Amazon is like,

675
00:40:07,120 --> 00:40:10,400
Speaker 1: we will make them more livable for the working class.

676
00:40:10,440 --> 00:40:12,759
Speaker 1: These types of towns are what the future of the

677
00:40:12,800 --> 00:40:16,200
Speaker 1: working classes? Like those are actually direct quotes from that

678
00:40:16,360 --> 00:40:20,800
Speaker 1: Bloomberg article. All right, that's frightening to hear an Amazon

679
00:40:20,920 --> 00:40:26,240
Speaker 1: taking it. This is the future of the working class. Okay,

680
00:40:26,400 --> 00:40:31,160
Speaker 1: time to get organized. This is class. Yeah, exactly to

681
00:40:31,280 --> 00:40:34,680
Speaker 1: pretend that this is a fresh new idea is like

682
00:40:35,280 --> 00:40:38,440
Speaker 1: next level corporate gas lighting. But so first of all,

683
00:40:38,480 --> 00:40:40,440
Speaker 1: we can take a look at this already because Amazon

684
00:40:40,520 --> 00:40:44,560
Speaker 1: is basically already unofficially doing this and the results are

685
00:40:45,080 --> 00:40:50,120
Speaker 1: pretty unnerving. So in California's Inland Empire that you know

686
00:40:50,200 --> 00:40:52,640
Speaker 1: that that's an area that is full of Amazon fulfillment

687
00:40:52,680 --> 00:40:57,960
Speaker 1: centers and the company has been reshaping the surrounding community.

688
00:40:58,040 --> 00:41:00,759
Speaker 1: For example, at a high school and say and Bernardino,

689
00:41:01,000 --> 00:41:06,400
Speaker 1: students can take classes in the quote Amazon Logistics and

690
00:41:06,520 --> 00:41:11,400
Speaker 1: Business Business Management Pathways career track that's not like a

691
00:41:11,440 --> 00:41:18,600
Speaker 1: single extracurricular activity. That is a like learning philosophy that

692
00:41:18,680 --> 00:41:23,200
Speaker 1: like follows you. Teenage students on this career track get

693
00:41:23,239 --> 00:41:26,160
Speaker 1: to wear golf shirts with the Amazon logo or are

694
00:41:26,560 --> 00:41:29,960
Speaker 1: forced to, which also appears on a banner in the classroom.

695
00:41:30,320 --> 00:41:36,240
Speaker 1: Lessons involve learning Amazon's fourteen leadership principles and taking field

696
00:41:36,239 --> 00:41:40,680
Speaker 1: trips to Amazon warehouses, which is basically the box factory

697
00:41:40,680 --> 00:41:46,680
Speaker 1: field trip from the Sibisons. But an Amazon spokesperson proudly

698
00:41:46,719 --> 00:41:49,480
Speaker 1: bragged that the goal here is to make sure that

699
00:41:49,520 --> 00:41:52,479
Speaker 1: these kids just go to work for Amazon and never leave.

700
00:41:53,320 --> 00:41:56,399
Speaker 1: This sounds really like an r OTC program, Like they're

701
00:41:56,480 --> 00:42:04,000
Speaker 1: full everywhere uniform. Yeah, there's and I I feel like

702
00:42:04,160 --> 00:42:06,480
Speaker 1: my mind immediately went to cult. But to call it

703
00:42:06,520 --> 00:42:10,080
Speaker 1: cult like is a little unfair to cults because cults

704
00:42:10,120 --> 00:42:15,919
Speaker 1: typically aren't able to buy their way into high school curriculums. Yeah. So,

705
00:42:16,400 --> 00:42:19,360
Speaker 1: in this quote about the San Bernardino program from a

706
00:42:19,360 --> 00:42:22,600
Speaker 1: New York Times article, the students instead of being educated

707
00:42:22,640 --> 00:42:24,680
Speaker 1: here and trying to find this is a quote from

708
00:42:24,800 --> 00:42:27,840
Speaker 1: that spokesperson. The students, instead of being educated here and

709
00:42:27,880 --> 00:42:29,840
Speaker 1: trying to find a job in the l A market

710
00:42:30,000 --> 00:42:33,600
Speaker 1: or somewhere else, they can be educated here and remain here,

711
00:42:34,520 --> 00:42:39,920
Speaker 1: And then they're unsurprisingly paying way less in taxes than

712
00:42:39,960 --> 00:42:43,160
Speaker 1: the city was hoping for when they opened up all

713
00:42:43,160 --> 00:42:47,920
Speaker 1: these factories and fulfillment centers there, which is a problem

714
00:42:47,920 --> 00:42:50,560
Speaker 1: because there's a lot of wear and tear on roads

715
00:42:50,560 --> 00:42:53,960
Speaker 1: with so many Amazon vehicles leaving from here, and with

716
00:42:54,000 --> 00:42:57,520
Speaker 1: so many people at the Amazon site being treated like ship,

717
00:42:57,640 --> 00:43:00,000
Speaker 1: it generates a lot of calls to police and emergency

718
00:43:00,120 --> 00:43:04,000
Speaker 1: services for worker injuries and just you know, fender benders

719
00:43:04,040 --> 00:43:06,560
Speaker 1: and things that happened when there's a bunch of people

720
00:43:06,560 --> 00:43:11,080
Speaker 1: together there. There's a Business Insider article that's basically parenting

721
00:43:11,120 --> 00:43:15,719
Speaker 1: the Bloomberg piece, but added that the historical precedent of

722
00:43:15,800 --> 00:43:20,680
Speaker 1: factory towns suggests that Amazon's twenty one century parallel will

723
00:43:20,800 --> 00:43:25,320
Speaker 1: quote improve work for millions of Americans, which is so

724
00:43:25,760 --> 00:43:31,279
Speaker 1: confusing because unaware of the history of factory towns, Like,

725
00:43:31,320 --> 00:43:34,319
Speaker 1: I think they're just counting on people being unaware of

726
00:43:34,360 --> 00:43:37,200
Speaker 1: the like their readers being unaware of that they're right.

727
00:43:37,360 --> 00:43:41,040
Speaker 1: I mean, most people have no historical context or anything.

728
00:43:41,080 --> 00:43:44,399
Speaker 1: And I guess that is pretty specific to know, like

729
00:43:44,800 --> 00:43:47,919
Speaker 1: labor history or factory towns, but in general, you don't

730
00:43:48,000 --> 00:43:49,239
Speaker 1: be like, hey, why don't you want to live in

731
00:43:49,280 --> 00:43:54,319
Speaker 1: a place where your boss controlled fucking everything? Horrible? And also,

732
00:43:54,440 --> 00:43:57,560
Speaker 1: wasn't the South Park episodes specifically, like every all of

733
00:43:57,600 --> 00:44:03,680
Speaker 1: this wasn't this? Yeah, it really feels very like black Mirror.

734
00:44:03,760 --> 00:44:05,680
Speaker 1: I know I said that a lot, but that's just

735
00:44:05,760 --> 00:44:09,880
Speaker 1: because the world is turning into various episodes of black Mirror.

736
00:44:09,960 --> 00:44:15,000
Speaker 1: I think it feels Orwellian nice or cock gask maybe,

737
00:44:16,680 --> 00:44:19,920
Speaker 1: So just to give our listeners in case you're not

738
00:44:19,960 --> 00:44:24,640
Speaker 1: familiar with factory towns specifically, factory towns built two house

739
00:44:25,200 --> 00:44:30,680
Speaker 1: and contain the working class part of a company. Because

740
00:44:30,680 --> 00:44:33,200
Speaker 1: I feel like the closest thing we've had that was

741
00:44:33,280 --> 00:44:37,080
Speaker 1: like highly publicized in recent years was Disney's factory town,

742
00:44:37,560 --> 00:44:40,200
Speaker 1: which was called Celebration, and it was more like a

743
00:44:40,280 --> 00:44:46,200
Speaker 1: suburb like UH subdivision that was just designed by Disney

744
00:44:46,280 --> 00:44:50,239
Speaker 1: for like their high level employees for the most part.

745
00:44:50,640 --> 00:44:55,240
Speaker 1: Whereas this has more in common with these factory towns

746
00:44:55,239 --> 00:44:59,080
Speaker 1: that sprung up following the Industrial Revolution, which basically just

747
00:44:59,280 --> 00:45:04,759
Speaker 1: further exerted companies grips over the population often amounted to

748
00:45:04,840 --> 00:45:09,239
Speaker 1: glorified prison camps. And those are quotes from Smithsonian dot

749
00:45:09,280 --> 00:45:15,000
Speaker 1: Meg that hyper left wing UH communist manifesto. So well,

750
00:45:15,040 --> 00:45:18,840
Speaker 1: let's talk about Pullman, Illinois is a company town built

751
00:45:18,880 --> 00:45:24,160
Speaker 1: by sleeping car like railroad car magnate George Pullman in

752
00:45:24,400 --> 00:45:27,479
Speaker 1: eighty he was like the Elon Musk of his time,

753
00:45:27,480 --> 00:45:29,759
Speaker 1: and that like the thing he built was kind of

754
00:45:30,280 --> 00:45:33,799
Speaker 1: seen as cool. Like when railroads were becoming a thing,

755
00:45:33,920 --> 00:45:36,799
Speaker 1: he had these cars that you could sleep in that

756
00:45:36,880 --> 00:45:41,839
Speaker 1: were like super luxurious and like associated with like cool ship.

757
00:45:42,200 --> 00:45:46,160
Speaker 1: Like people like aspired, Yeah, they were sheic and people

758
00:45:46,200 --> 00:45:50,160
Speaker 1: aspired to like ride in them. So and he was,

759
00:45:50,520 --> 00:45:54,040
Speaker 1: you know, this sort of celebrity tycoon. And so he

760
00:45:54,040 --> 00:45:58,479
Speaker 1: built this community to prevent labor unrest, and people could

761
00:45:58,640 --> 00:46:01,359
Speaker 1: only rent their homes, no one was allowed to buy them,

762
00:46:01,360 --> 00:46:05,040
Speaker 1: meaning workers could be evicted on short notice and were

763
00:46:05,080 --> 00:46:09,320
Speaker 1: subjected to random inspections, pullman band bars in town meetings

764
00:46:09,840 --> 00:46:13,920
Speaker 1: because that would be too much communication between the workers.

765
00:46:13,960 --> 00:46:17,040
Speaker 1: And his influence even extended to adding which books were

766
00:46:17,040 --> 00:46:19,920
Speaker 1: in the library and which shows the local theater performed.

767
00:46:20,320 --> 00:46:25,040
Speaker 1: Then you know, he was known like publicly for paying

768
00:46:25,520 --> 00:46:29,520
Speaker 1: people okay at first, like maybe even better than other

769
00:46:29,880 --> 00:46:33,400
Speaker 1: manufacturers of rail cars. But then once he got people

770
00:46:33,760 --> 00:46:38,400
Speaker 1: in this like captive state, he lowered their wages, but

771
00:46:38,680 --> 00:46:42,840
Speaker 1: he didn't lower their rent, which led to Yeah, so

772
00:46:43,840 --> 00:46:46,840
Speaker 1: this led to a strike, which ended when the U. S.

773
00:46:46,920 --> 00:46:50,640
Speaker 1: Cavalry was sent in and several dozen citizens were shot dead.

774
00:46:51,080 --> 00:46:55,960
Speaker 1: So this formerly beloved tycoon, when he died, they had

775
00:46:55,960 --> 00:46:58,560
Speaker 1: to bury his coffin under layers of concrete so no

776
00:46:58,640 --> 00:47:01,120
Speaker 1: one would desecrate his body because of the ship he

777
00:47:01,200 --> 00:47:04,520
Speaker 1: tried with his factory town. There are other famous company

778
00:47:04,560 --> 00:47:08,200
Speaker 1: town massacres in which striking workers were evicted from their

779
00:47:08,239 --> 00:47:12,319
Speaker 1: homes and murdered by cops and militias. Uh. There's one

780
00:47:12,360 --> 00:47:18,040
Speaker 1: in Ludlow, Colorado, and Color, Wisconsin where it was toilets.

781
00:47:18,360 --> 00:47:23,239
Speaker 1: I know. So Color Color was plumbing fixture factory that

782
00:47:23,360 --> 00:47:27,719
Speaker 1: opened in nine They immediately started making like just buckets

783
00:47:27,719 --> 00:47:30,360
Speaker 1: and buckets of money, so they started building houses for

784
00:47:30,440 --> 00:47:34,480
Speaker 1: couples and dorms for single men who worked their finance schools,

785
00:47:34,520 --> 00:47:39,160
Speaker 1: had pension plan paid well. And then when the depression hit,

786
00:47:39,239 --> 00:47:42,560
Speaker 1: the employees tried to strike because they lowered their wages,

787
00:47:43,000 --> 00:47:47,280
Speaker 1: and Color responded by arming deputies like their own private

788
00:47:47,320 --> 00:47:51,080
Speaker 1: police force with machine guns. Uh. And then there was

789
00:47:51,280 --> 00:47:56,000
Speaker 1: predictably a clash and forty strikers were shot too, were killed.

790
00:47:56,520 --> 00:47:58,239
Speaker 1: And but don't I mean, but here's the thing, and

791
00:47:58,280 --> 00:47:59,919
Speaker 1: I don't want anyone to think that that's gonna happen

792
00:47:59,920 --> 00:48:04,600
Speaker 1: in an Amazon town. Obviously, will just be monitoring your

793
00:48:04,760 --> 00:48:09,279
Speaker 1: every step with our technologically advanced dormitories that will know

794
00:48:09,320 --> 00:48:11,880
Speaker 1: if you're lying, if you're calling in sick, and then

795
00:48:11,920 --> 00:48:14,279
Speaker 1: we'll deduct your pay that way, and we'll know if

796
00:48:14,320 --> 00:48:17,040
Speaker 1: you're talking bad about us. But it'll be great. It's

797
00:48:17,080 --> 00:48:19,200
Speaker 1: gonna elevate the working. You're gonna love it because it's

798
00:48:19,200 --> 00:48:21,320
Speaker 1: gonna be a bit easy place. It'll be really affordable.

799
00:48:21,360 --> 00:48:23,759
Speaker 1: Just don't just forget about the other like rights that

800
00:48:23,800 --> 00:48:26,400
Speaker 1: you might have. Do you think their houses have bathrooms

801
00:48:26,480 --> 00:48:28,280
Speaker 1: or do they just come with a bunch of water bottles.

802
00:48:30,040 --> 00:48:31,959
Speaker 1: I mean that is the thing to like keep in mind.

803
00:48:32,080 --> 00:48:35,560
Speaker 1: Like Facebook and Google are also trying this, but there

804
00:48:35,640 --> 00:48:40,320
Speaker 1: I think mostly focusing on like the people who work

805
00:48:40,400 --> 00:48:45,279
Speaker 1: on there like already like extravagantly, you know, really nice campuses,

806
00:48:45,440 --> 00:48:49,120
Speaker 1: and you know, it's more for the people who are

807
00:48:49,200 --> 00:48:52,399
Speaker 1: already extremely well compensated. They're trying to build like little

808
00:48:52,440 --> 00:48:55,160
Speaker 1: luxury communities like Disney did, which, by the way, the

809
00:48:55,200 --> 00:48:57,880
Speaker 1: Disney thing didn't like end well by any means. Disney

810
00:48:57,920 --> 00:48:59,759
Speaker 1: ended up selling it after they were like a bunch

811
00:48:59,800 --> 00:49:05,040
Speaker 1: of murders in Celebration Florida. There's somebody should make a

812
00:49:05,040 --> 00:49:08,759
Speaker 1: movie about Celebration Florida. For sure. What murders are right

813
00:49:10,760 --> 00:49:15,279
Speaker 1: for instance, a grizzly X one grizzly X murder of

814
00:49:15,360 --> 00:49:19,920
Speaker 1: that variety. But just as you mentioned though, I mean,

815
00:49:19,960 --> 00:49:23,040
Speaker 1: the Amazon thing is so concerning because this is a

816
00:49:23,080 --> 00:49:29,799
Speaker 1: company that is already exerting so much control over their

817
00:49:29,880 --> 00:49:32,560
Speaker 1: you know, lower income employees lives that they have to

818
00:49:32,640 --> 00:49:36,080
Speaker 1: piss and water bottles. They're being constantly monitored like reality

819
00:49:36,120 --> 00:49:39,760
Speaker 1: show contestants. They're so stressed that they had to build

820
00:49:39,760 --> 00:49:45,160
Speaker 1: these things called Amazen booths, which are basically upbraak coffins

821
00:49:45,200 --> 00:49:47,680
Speaker 1: where you can cry in peace for five minutes. They

822
00:49:48,040 --> 00:49:51,600
Speaker 1: they have little videos that you watch while you're in there.

823
00:49:52,160 --> 00:49:54,799
Speaker 1: I do love that it's five minutes, like the that's

824
00:49:56,719 --> 00:49:59,200
Speaker 1: let's go, Let's go, Let's go. They feature easy to

825
00:49:59,280 --> 00:50:04,400
Speaker 1: follow well being activities in the little cry conference, including

826
00:50:04,440 --> 00:50:09,399
Speaker 1: guided meditations, positive affirmations, calming scenes with sounds like I

827
00:50:09,560 --> 00:50:15,480
Speaker 1: just imagine like going from you are brutal, like just

828
00:50:16,239 --> 00:50:21,840
Speaker 1: nervous breakdown causing job at Amazon too, then going into

829
00:50:22,080 --> 00:50:26,759
Speaker 1: like a weird like like suspension like that the booths

830
00:50:26,800 --> 00:50:30,680
Speaker 1: that the astronauts from Aliens are existing when they're in

831
00:50:30,760 --> 00:50:35,640
Speaker 1: suspended animation and being like having yeah, having a computer

832
00:50:35,760 --> 00:50:39,560
Speaker 1: be like you're great, You're doing wonderful. You are happy,

833
00:50:39,840 --> 00:50:43,440
Speaker 1: you are complete, you are respected, You are not a

834
00:50:43,440 --> 00:50:48,480
Speaker 1: political prisoner. Yeah, this is not a labor camp you

835
00:50:48,680 --> 00:50:51,640
Speaker 1: like Jeff Bezos. Do you think Amazon eventually is going

836
00:50:51,719 --> 00:50:56,239
Speaker 1: to try to rebrand is like amazing or something like that,

837
00:50:56,440 --> 00:50:59,200
Speaker 1: because like the Amazon name, because I just feel like

838
00:50:59,239 --> 00:51:01,919
Speaker 1: this that feel like they're gonna have rebrand at some point,

839
00:51:02,680 --> 00:51:05,520
Speaker 1: because the tide is like people are slowly like they're

840
00:51:05,520 --> 00:51:07,160
Speaker 1: like I don't know, it's this fucking thing that I

841
00:51:07,280 --> 00:51:10,280
Speaker 1: use to sometimes get shipped quickly or watch a TV

842
00:51:10,400 --> 00:51:14,000
Speaker 1: show on, but there's this untold human suffering behind it,

843
00:51:14,400 --> 00:51:17,200
Speaker 1: and they're on their way to like like you're saying,

844
00:51:17,400 --> 00:51:21,120
Speaker 1: indoctrinating kids from high school to be like don't question,

845
00:51:21,360 --> 00:51:23,800
Speaker 1: like we love you like your family where your father

846
00:51:23,880 --> 00:51:26,800
Speaker 1: worked here, your father's father worked here, your father's father's

847
00:51:26,880 --> 00:51:29,879
Speaker 1: father worked here, and why would you you know, why

848
00:51:29,880 --> 00:51:33,320
Speaker 1: would you eliminate that bond? And like you're saying, Diana

849
00:51:33,320 --> 00:51:36,279
Speaker 1: about like r OTC, like I could I could see

850
00:51:36,280 --> 00:51:39,640
Speaker 1: in some fucked up, bizarre future where people are like no, man,

851
00:51:39,680 --> 00:51:44,400
Speaker 1: like we're an Amazon family, like we're a military family. Yeah,

852
00:51:44,600 --> 00:51:46,680
Speaker 1: I totally would see that they're like, look, I'm gonna

853
00:51:46,719 --> 00:51:50,920
Speaker 1: hand down to you my Gulf shirt with the Amazon though, right,

854
00:51:50,960 --> 00:51:56,640
Speaker 1: because it happens like you know, grandfather's dry fit polo

855
00:51:56,800 --> 00:52:01,279
Speaker 1: shirt and this can be ears now, right, And I

856
00:52:01,280 --> 00:52:02,719
Speaker 1: don't know, I mean like it's the same thing like

857
00:52:02,760 --> 00:52:05,440
Speaker 1: when you go to places like in when in Michigan

858
00:52:05,480 --> 00:52:08,280
Speaker 1: when cars were being manufactured, they are much more regularly

859
00:52:08,480 --> 00:52:12,839
Speaker 1: in an intense fashion. There were people like generational employees

860
00:52:12,880 --> 00:52:16,480
Speaker 1: of like Chevy or you know, Cadillac or something like that.

861
00:52:16,800 --> 00:52:19,080
Speaker 1: And that made sense because in that place you lived,

862
00:52:19,160 --> 00:52:22,360
Speaker 1: this was a place that offered your family stability or

863
00:52:22,440 --> 00:52:27,120
Speaker 1: upward mobility than obviously things changed, the nature of corporate

864
00:52:27,120 --> 00:52:30,080
Speaker 1: profits changed. But I think, you know, I can see

865
00:52:30,080 --> 00:52:32,359
Speaker 1: this but in just a much darker version, because it's

866
00:52:32,360 --> 00:52:34,759
Speaker 1: not just more like oh, Amazon provided us like an

867
00:52:34,760 --> 00:52:36,920
Speaker 1: opportunity to do more. It's like Amazon is the only

868
00:52:36,920 --> 00:52:38,960
Speaker 1: fucking thing I could do, and to not do it

869
00:52:39,000 --> 00:52:43,360
Speaker 1: meant like on nearly certain death. Yeah. Speaking of Amazon

870
00:52:43,800 --> 00:52:48,560
Speaker 1: and company towns and car manufacturing, there's the story of

871
00:52:48,640 --> 00:52:52,080
Speaker 1: ford Landia that people can google themselves, which is when

872
00:52:52,239 --> 00:52:56,799
Speaker 1: Henry Ford built a town in the Amazon rainforest in

873
00:52:56,840 --> 00:53:01,359
Speaker 1: Brazil and there was a revolt and the people who

874
00:53:01,360 --> 00:53:05,799
Speaker 1: worked there cut the cut the telegraph lines. It was like,

875
00:53:05,880 --> 00:53:08,520
Speaker 1: all right, we're not stuck in here with you, You're

876
00:53:08,600 --> 00:53:14,839
Speaker 1: stuck in here with us. We're those man we need

877
00:53:15,200 --> 00:53:17,279
Speaker 1: we need like horror ship like that, you know what

878
00:53:17,280 --> 00:53:19,960
Speaker 1: I mean. We're like billionaires like they think they're getting

879
00:53:19,960 --> 00:53:22,200
Speaker 1: one over and then like the working class people turned

880
00:53:22,200 --> 00:53:25,799
Speaker 1: into a massacre? Is that like the purge? Kind of?

881
00:53:26,400 --> 00:53:28,319
Speaker 1: Well the purge, I feel like you can project too

882
00:53:28,440 --> 00:53:31,040
Speaker 1: much shit onto it, like from whatever you're like, like

883
00:53:31,239 --> 00:53:33,520
Speaker 1: I think like Ford Landia, Like if you just a

884
00:53:33,560 --> 00:53:38,040
Speaker 1: few tweaks and you're like, oh my god, Like, don't

885
00:53:38,080 --> 00:53:40,640
Speaker 1: be the greedy capitalist who tries to exploit a bunch

886
00:53:40,640 --> 00:53:42,959
Speaker 1: of people, because the lesson there is like they're gonna

887
00:53:43,000 --> 00:53:47,440
Speaker 1: cut the bottoms of your feet off. Yeah that sounds painful.

888
00:53:47,760 --> 00:53:52,160
Speaker 1: All right, let's check in with Halloween candy trends off

889
00:53:52,200 --> 00:53:58,080
Speaker 1: of that. Yeah, like shift of gears do on this show.

890
00:53:58,280 --> 00:54:02,840
Speaker 1: From Capitalist Dystopia, take can be Land. Yeah, we're easy

891
00:54:03,239 --> 00:54:06,759
Speaker 1: company town. I might live there. Yeah, I know, go

892
00:54:06,880 --> 00:54:09,840
Speaker 1: work for Nestle, little Boy, because they're the one companies

893
00:54:09,880 --> 00:54:13,120
Speaker 1: like we have water for our employees. That's true. They will,

894
00:54:13,160 --> 00:54:17,000
Speaker 1: they will have all the waters. But Zipia is like

895
00:54:17,040 --> 00:54:19,840
Speaker 1: this job site who does like you know, they pretty

896
00:54:19,880 --> 00:54:22,600
Speaker 1: regularly put together like these maps based on their research

897
00:54:22,640 --> 00:54:24,920
Speaker 1: of like certain trends, and they do in every year

898
00:54:24,960 --> 00:54:27,319
Speaker 1: with Halloween candies. Sometimes we follow it. I think most

899
00:54:27,360 --> 00:54:29,000
Speaker 1: of the time we do just because it's interesting to

900
00:54:29,040 --> 00:54:32,400
Speaker 1: see the way they get to this. Their methodology is

901
00:54:32,440 --> 00:54:34,080
Speaker 1: that they sort of put together a list of like

902
00:54:34,200 --> 00:54:38,480
Speaker 1: fifty top candies, like like whether they're really popular or

903
00:54:38,560 --> 00:54:41,719
Speaker 1: really well known because people fucking hate them, and then

904
00:54:41,760 --> 00:54:45,920
Speaker 1: from there compare what the like Google search traffic is

905
00:54:46,040 --> 00:54:48,760
Speaker 1: based on the state, So if one is trending highest

906
00:54:48,880 --> 00:54:51,240
Speaker 1: of all those fifty, they're like, okay, so that seems

907
00:54:51,239 --> 00:54:53,240
Speaker 1: to be the one that's very popular in this state

908
00:54:53,320 --> 00:54:56,080
Speaker 1: given But it's like comparative, right, Like it could be

909
00:54:56,360 --> 00:54:59,759
Speaker 1: that Snickers is the number one search in all of

910
00:54:59,760 --> 00:55:04,000
Speaker 1: these towns, but it's just not comparatively more popular in

911
00:55:04,080 --> 00:55:07,440
Speaker 1: one town than the other. I feel like is theistic

912
00:55:07,560 --> 00:55:09,920
Speaker 1: if that's why it's not exact. So it's just like

913
00:55:10,120 --> 00:55:13,839
Speaker 1: here's a feeling of what's happening. And I think the

914
00:55:13,880 --> 00:55:16,520
Speaker 1: top line sort of thing is they're saying that more

915
00:55:16,560 --> 00:55:21,840
Speaker 1: than States prefer chocolate candies twenty two preferred gummies or

916
00:55:22,040 --> 00:55:25,080
Speaker 1: The thing that I'm really worried about is in Colorado

917
00:55:25,160 --> 00:55:28,480
Speaker 1: they love black liquorice, and Oklahoma they love circus peanuts

918
00:55:30,520 --> 00:55:34,280
Speaker 1: black liquorice. I'm sorry, I can't. I can't. I can't

919
00:55:35,480 --> 00:55:40,719
Speaker 1: that innus flavor that I just do not. I don't

920
00:55:40,760 --> 00:55:42,840
Speaker 1: like it. I don't like it. I like caraway seas.

921
00:55:42,880 --> 00:55:44,560
Speaker 1: You know, I fun with rye bread here and there,

922
00:55:44,760 --> 00:55:47,719
Speaker 1: but don't make me black liquorice. Please. I think you

923
00:55:47,840 --> 00:55:53,680
Speaker 1: mispronounced anus, Yes, Jack, that anus flavor is. I just

924
00:55:53,760 --> 00:55:58,640
Speaker 1: can't get around um. They I didn't realize they border

925
00:55:58,760 --> 00:56:02,680
Speaker 1: one another. So maybe that's what's what's going on. There's

926
00:56:02,719 --> 00:56:04,759
Speaker 1: just a what is the circuit? I always see it

927
00:56:04,800 --> 00:56:07,600
Speaker 1: looks like packing peanuts and that are like blue and pink,

928
00:56:07,640 --> 00:56:09,400
Speaker 1: and I'm like, that's not I remember just being a kid.

929
00:56:09,800 --> 00:56:12,680
Speaker 1: That's not candy. That's that's with it. When I was

930
00:56:12,719 --> 00:56:15,800
Speaker 1: a kid, it was are they marshmallow or they like

931
00:56:15,920 --> 00:56:21,080
Speaker 1: nougat or something? Yeah, they're marshmallow there basically very cheaply

932
00:56:21,120 --> 00:56:25,760
Speaker 1: produced orange marshmallows that by being the color orange and

933
00:56:26,080 --> 00:56:29,479
Speaker 1: being named peanuts, I feel like that is the only

934
00:56:29,560 --> 00:56:32,080
Speaker 1: thing that is giving them any flavor other than sugar.

935
00:56:32,600 --> 00:56:35,000
Speaker 1: But it is like, because you're going in with the

936
00:56:35,040 --> 00:56:39,640
Speaker 1: expectation of a peanut e orange e flavor, they skate

937
00:56:40,040 --> 00:56:46,120
Speaker 1: on that on just being basically sugar packing material. I'm

938
00:56:46,160 --> 00:56:48,840
Speaker 1: looking at the other ones. California's most popular as jolly

939
00:56:48,920 --> 00:56:53,040
Speaker 1: ranch or hard candy. Okay, I mean that actually, I

940
00:56:53,080 --> 00:56:56,120
Speaker 1: feel like that reminds me of all the candy Like

941
00:56:56,160 --> 00:56:58,360
Speaker 1: I would get a lot of those growing up, and

942
00:56:58,440 --> 00:57:00,640
Speaker 1: I hated them because the green out on one's tastes

943
00:57:00,680 --> 00:57:04,239
Speaker 1: like fucking gasoline. Miles, you could have given me all

944
00:57:04,280 --> 00:57:06,799
Speaker 1: your green apples. That's my favorite. Oh it is? Well,

945
00:57:07,080 --> 00:57:08,680
Speaker 1: I look, I'll go to my mom's house. I think

946
00:57:08,680 --> 00:57:10,839
Speaker 1: her garage. I still got him from two, so I'll

947
00:57:11,080 --> 00:57:14,200
Speaker 1: find him your way your favorite flavor of everything. Or

948
00:57:14,239 --> 00:57:20,280
Speaker 1: you're just I don't know, why do what about watermelon?

949
00:57:21,560 --> 00:57:25,000
Speaker 1: I don't know who's as good as halle Wow another one.

950
00:57:25,000 --> 00:57:30,320
Speaker 1: I'm like straight gasoline. It's so artificial to me. I'm

951
00:57:30,360 --> 00:57:32,440
Speaker 1: also just I think in general, as a kid, I

952
00:57:32,480 --> 00:57:35,920
Speaker 1: only thought chocolate was the thing worth having, right Like,

953
00:57:36,080 --> 00:57:38,000
Speaker 1: I just didn't. I was like whatever, skill like Skittles

954
00:57:38,000 --> 00:57:40,760
Speaker 1: are cool. They're sugar, but like, give me that chocolate.

955
00:57:40,840 --> 00:57:43,680
Speaker 1: That's what that's what I'm working here for. Shout out,

956
00:57:43,840 --> 00:57:46,960
Speaker 1: shout out to Illinois. They love air heads over there.

957
00:57:47,280 --> 00:57:50,600
Speaker 1: That's such an interesting one that brought me back. Air

958
00:57:50,640 --> 00:57:52,480
Speaker 1: Heads is like a spet. Like every now and then

959
00:57:52,480 --> 00:57:54,120
Speaker 1: you'd be in a gas station and be like, let

960
00:57:54,160 --> 00:57:57,919
Speaker 1: me spends on one air head and just and it's

961
00:57:57,960 --> 00:58:00,400
Speaker 1: like a perfect thing where you're like, takes it back

962
00:58:00,400 --> 00:58:06,040
Speaker 1: to childhood, and that's it. I don't need anymore. Like

963
00:58:06,800 --> 00:58:10,960
Speaker 1: your whole mouth starts hurting. Yeah, I mean this this

964
00:58:11,080 --> 00:58:14,000
Speaker 1: is a biased chart, by the way, because they're counting

965
00:58:14,080 --> 00:58:19,880
Speaker 1: tutsie pop as a chocolate, which seems kind of questionable

966
00:58:19,920 --> 00:58:28,360
Speaker 1: to me. Yeah, fruit and then it becomes chocolate. Yeah, yeah,

967
00:58:28,400 --> 00:58:32,200
Speaker 1: that's different. And even rolls are real chocolate, right, they're

968
00:58:32,200 --> 00:58:39,760
Speaker 1: like chewy, chocolate flavored whatever. Not nigid. But okay, that's

969
00:58:39,760 --> 00:58:41,880
Speaker 1: another one that I would be. You know, when they

970
00:58:41,920 --> 00:58:44,560
Speaker 1: would have the giant tutsie roll, like the one that's

971
00:58:44,560 --> 00:58:47,840
Speaker 1: almost candy bar sized. For whatever reason, I was like, Oh,

972
00:58:47,960 --> 00:58:51,160
Speaker 1: this one's gonna taste like chocolate and it's a big

973
00:58:52,400 --> 00:58:57,840
Speaker 1: taffy turd yeah, rolls have like zero chocolate content. I

974
00:58:57,840 --> 00:59:01,280
Speaker 1: think they're just brown. Going by the logic of this chart,

975
00:59:01,280 --> 00:59:05,680
Speaker 1: where it's like, I'm more into this candy than it

976
00:59:05,720 --> 00:59:08,360
Speaker 1: seems like other people are. Where where would you fall

977
00:59:09,040 --> 00:59:12,440
Speaker 1: on that? What's your like kind of secret guilty guilty

978
00:59:12,520 --> 00:59:17,280
Speaker 1: pledge as nobody says ever, I mean the peanut butter

979
00:59:17,360 --> 00:59:21,120
Speaker 1: chocolate combo I think for me is is all will

980
00:59:21,160 --> 00:59:23,520
Speaker 1: always be Halloween For some reason, I didn't know they

981
00:59:23,520 --> 00:59:32,560
Speaker 1: made peanut butter chocolate combos. No nothing, That's actually a

982
00:59:32,600 --> 00:59:37,479
Speaker 1: fucking brilliant idea because pretzels with peanut Come on, Yeah,

983
00:59:37,560 --> 00:59:39,440
Speaker 1: go fucking market that ship. Go make that ship right

984
00:59:39,440 --> 00:59:42,560
Speaker 1: now in your girl, bring back to the class um. Yeah,

985
00:59:42,600 --> 00:59:45,560
Speaker 1: I'm I'm definitely a Reese's Peanut Butter Reese's Pieces because

986
00:59:45,600 --> 00:59:49,720
Speaker 1: also et Reese's pieces. Reese's Pieces. Isn't it like Reese's

987
00:59:49,720 --> 00:59:52,480
Speaker 1: peanut butter cups is like every I think that's like

988
00:59:52,600 --> 00:59:58,480
Speaker 1: probably the most favorite candy in the world, I would

989
00:59:58,520 --> 01:00:03,320
Speaker 1: assume in America at the very least, but Reese's Pieces,

990
01:00:03,360 --> 01:00:06,960
Speaker 1: A lot of people do not funk with Reese's pieces. Yeah,

991
01:00:07,320 --> 01:00:10,360
Speaker 1: have you had peanut butter Eminem's those are good too.

992
01:00:11,360 --> 01:00:13,720
Speaker 1: I think they're superior because they're bigger, they have more

993
01:00:13,720 --> 01:00:17,400
Speaker 1: pimp better than I should do a taste test, because

994
01:00:17,440 --> 01:00:19,640
Speaker 1: when I go to the movies, I will house a

995
01:00:19,720 --> 01:00:22,280
Speaker 1: bag of Reese's pieces and go and just like go

996
01:00:22,360 --> 01:00:24,480
Speaker 1: and have like so much sugar. I just going to

997
01:00:24,520 --> 01:00:28,160
Speaker 1: diabetic job, be vibrating above your chair. So yeah, that

998
01:00:28,320 --> 01:00:31,160
Speaker 1: and like these other Twizzlies, new Twizzlers that I got

999
01:00:31,240 --> 01:00:32,880
Speaker 1: the last time I was there. This was like maybe

1000
01:00:32,960 --> 01:00:35,560
Speaker 1: fifteen years ago when whenever, the last time I was

1001
01:00:35,560 --> 01:00:38,200
Speaker 1: in a movie theater. But there are some new Twizzler

1002
01:00:38,440 --> 01:00:42,000
Speaker 1: joints that were so good I couldn't believe it. And

1003
01:00:42,040 --> 01:00:44,760
Speaker 1: they were just like special about them. They were like

1004
01:00:44,760 --> 01:00:50,400
Speaker 1: like salack and tasted like anus and they were like

1005
01:00:50,440 --> 01:00:54,720
Speaker 1: a poland peel kind of like other can I don't know,

1006
01:00:54,720 --> 01:00:56,520
Speaker 1: I gotta I gotta look again. If there's so many,

1007
01:00:56,560 --> 01:00:59,320
Speaker 1: I'm so behind with my candies. I have seen that

1008
01:00:59,320 --> 01:01:02,880
Speaker 1: polland peel. Yeah, what about you, Diana? What's your where

1009
01:01:02,880 --> 01:01:05,720
Speaker 1: do you land on here? What's your home state? Me

1010
01:01:06,040 --> 01:01:10,720
Speaker 1: is Georgia, So skittles, But yeah, but for you, I mean,

1011
01:01:10,760 --> 01:01:12,320
Speaker 1: if you had to pick, if let's say you had

1012
01:01:12,320 --> 01:01:16,400
Speaker 1: to pick a state because that was your candy. Yeah,

1013
01:01:16,720 --> 01:01:18,760
Speaker 1: you see your is your favorite candy on here? Or

1014
01:01:18,880 --> 01:01:21,200
Speaker 1: you are? Are you sort of an outlier now because

1015
01:01:21,200 --> 01:01:24,360
Speaker 1: peanut butter eminem's are my favorite. During the pandemic, I

1016
01:01:24,360 --> 01:01:26,439
Speaker 1: actually had to stop eating them because I would get

1017
01:01:26,440 --> 01:01:30,600
Speaker 1: like party sized bags like a party and I would

1018
01:01:30,600 --> 01:01:32,720
Speaker 1: eat them all by myself in like two days. It

1019
01:01:32,840 --> 01:01:36,040
Speaker 1: was way too much sugar. It was horrible. Okay, so

1020
01:01:36,080 --> 01:01:38,040
Speaker 1: you you'd be up in Indiana that looks like where

1021
01:01:38,080 --> 01:01:41,720
Speaker 1: peanut eminem's are peanut M and m's not peanut butter

1022
01:01:41,760 --> 01:01:45,080
Speaker 1: eminem That was like what, I fall more into the

1023
01:01:45,080 --> 01:01:47,920
Speaker 1: Reese's cups because of the peanut butter or would I

1024
01:01:47,960 --> 01:01:50,640
Speaker 1: go peanut M and M's because of the eminem itself?

1025
01:01:50,680 --> 01:01:54,440
Speaker 1: Like which more important the delivery system or the flavor.

1026
01:01:55,120 --> 01:01:59,600
Speaker 1: I developed a real uh peanut Eminem's problem during the

1027
01:01:59,640 --> 01:02:04,400
Speaker 1: pan It was bad. Did yeah? Oh yeah? The party

1028
01:02:04,480 --> 01:02:06,800
Speaker 1: size that that really rang true with me. I was,

1029
01:02:07,240 --> 01:02:10,200
Speaker 1: what's the party size bag? Looked like it's like a backpack.

1030
01:02:14,160 --> 01:02:22,200
Speaker 1: I mean it's the Donner party yo wagons, the Costco

1031
01:02:22,280 --> 01:02:25,640
Speaker 1: size that they sell a Target for some reason, right right,

1032
01:02:26,600 --> 01:02:30,280
Speaker 1: It's just like a bucket basically the lit kind of

1033
01:02:30,400 --> 01:02:33,360
Speaker 1: I don't think it is five pounds, right, I mean

1034
01:02:33,400 --> 01:02:35,640
Speaker 1: it's a lot though, Jack, I don't know if you remember,

1035
01:02:35,680 --> 01:02:38,320
Speaker 1: but oh yeah, yeah, I think it's at least a

1036
01:02:38,320 --> 01:02:41,080
Speaker 1: pound of It's not something you should be eating as

1037
01:02:41,080 --> 01:02:47,200
Speaker 1: a single singular zips up zips. You gotta keep it

1038
01:02:47,320 --> 01:02:50,400
Speaker 1: because that's their assumption is you're eating this over the

1039
01:02:50,440 --> 01:02:54,040
Speaker 1: course of a year, and thus you you we need

1040
01:02:54,080 --> 01:02:56,320
Speaker 1: to put a zip on it to keep it fresh.

1041
01:02:56,880 --> 01:03:00,520
Speaker 1: And uh, you know, my my logic time maybe too,

1042
01:03:01,360 --> 01:03:03,959
Speaker 1: when I was in college and I would just get

1043
01:03:03,960 --> 01:03:07,040
Speaker 1: so stoned and just I would do something like eat

1044
01:03:07,080 --> 01:03:10,560
Speaker 1: a whole bag of like party size eminem. My fucking

1045
01:03:10,640 --> 01:03:13,680
Speaker 1: stupid logic at that time was, well, there's no way,

1046
01:03:13,760 --> 01:03:16,720
Speaker 1: like they would just put this much unhealthy ship, like

1047
01:03:16,920 --> 01:03:18,880
Speaker 1: it can't be bad if I just eat this whole

1048
01:03:18,880 --> 01:03:21,680
Speaker 1: thing right now like that. Otherwise it was there trouble

1049
01:03:21,680 --> 01:03:24,360
Speaker 1: because people will be dying going down eating all these things.

1050
01:03:24,880 --> 01:03:27,480
Speaker 1: And for whatever reason, that was my narrow logic to

1051
01:03:27,480 --> 01:03:30,000
Speaker 1: be like, and that's why it's okay that I had

1052
01:03:30,120 --> 01:03:40,280
Speaker 1: this whole bag, this entire handle of vodka can be

1053
01:03:40,320 --> 01:03:44,000
Speaker 1: bad for me because it's illegal, right, They get in

1054
01:03:44,000 --> 01:03:46,440
Speaker 1: trouble for selling it this much of it, Like that's

1055
01:03:46,440 --> 01:03:49,680
Speaker 1: what I say, kept saying they'd get in trouble. It

1056
01:03:49,720 --> 01:03:55,360
Speaker 1: was bad, that's beautiful, whatever rationalization I could use to

1057
01:03:55,440 --> 01:03:58,880
Speaker 1: just desecrate my own body. Oh yeah, I mean, yeah,

1058
01:03:58,880 --> 01:04:00,200
Speaker 1: that's what I was doing. I was like, well, it's

1059
01:04:00,200 --> 01:04:02,960
Speaker 1: a pandemic, it's tough times, you know, comfort yourself however

1060
01:04:03,040 --> 01:04:06,800
Speaker 1: you can. Meanwhile, my stomach is like, um, we've had

1061
01:04:06,880 --> 01:04:10,440
Speaker 1: so much yellow number five or whatever. Die in here,

1062
01:04:10,560 --> 01:04:13,800
Speaker 1: Like you're giving me literally a tumor right now. You

1063
01:04:13,960 --> 01:04:17,560
Speaker 1: stop someone's yellow number five. You're digestive tracks? Do Louis

1064
01:04:17,600 --> 01:04:24,919
Speaker 1: Bega yellow number five? Number five? Yeah? I'm my two

1065
01:04:24,960 --> 01:04:28,160
Speaker 1: thoughts here are one. I don't see blow pops anywhere.

1066
01:04:28,160 --> 01:04:32,240
Speaker 1: I do love to just house a blow just crunch

1067
01:04:32,320 --> 01:04:35,040
Speaker 1: into that ship and just you know, treat it like

1068
01:04:35,080 --> 01:04:38,680
Speaker 1: a stick of gum. And then also, yeah, just what

1069
01:04:38,680 --> 01:04:42,120
Speaker 1: what you were saying? Well, the Reese's Pieces. My relationship

1070
01:04:42,160 --> 01:04:47,959
Speaker 1: with Reese's Pieces is so based on movies. It's like, man,

1071
01:04:48,040 --> 01:04:51,960
Speaker 1: they really fucking nailed that product placement and then the

1072
01:04:52,000 --> 01:04:56,040
Speaker 1: fact that they're in every movie theater and I still

1073
01:04:56,080 --> 01:04:58,720
Speaker 1: remember like eating a big gas bag of them while

1074
01:04:58,840 --> 01:05:01,760
Speaker 1: seeing Honey Shrun the kids, when I was like, really,

1075
01:05:01,880 --> 01:05:04,800
Speaker 1: isn't that so weird? Because my whole thing is I

1076
01:05:04,800 --> 01:05:07,080
Speaker 1: could see ET s a little funked up hand touching

1077
01:05:07,080 --> 01:05:09,680
Speaker 1: the little Reese's pieces. It's weird. When I put my

1078
01:05:09,760 --> 01:05:11,880
Speaker 1: hand in the bag of Reese's pieces, I have this

1079
01:05:12,000 --> 01:05:14,920
Speaker 1: weird like sense memory that I do a p o

1080
01:05:15,040 --> 01:05:17,600
Speaker 1: V of my hand and it's Et touching the Reese's pieces.

1081
01:05:19,240 --> 01:05:25,280
Speaker 1: Thank you, Steven Spielberg, Thank you. Wow. It makes senseful

1082
01:05:25,400 --> 01:05:29,640
Speaker 1: that they're popular Halloween candy because they're already orange wrapped pieces,

1083
01:05:29,680 --> 01:05:32,880
Speaker 1: already fall colors. I mean, it's like, if you're into decore,

1084
01:05:33,640 --> 01:05:35,720
Speaker 1: they do it all for you, right, and plus Et

1085
01:05:35,920 --> 01:05:40,040
Speaker 1: there's Halloween elements to that. It's just like, was Et

1086
01:05:40,320 --> 01:05:44,080
Speaker 1: just a big marketing vehicle for Reesus? Like they conceived it,

1087
01:05:44,080 --> 01:05:49,360
Speaker 1: it was like a psi opes movie around Reese's pieces,

1088
01:05:49,400 --> 01:05:54,440
Speaker 1: go right. I believe it started as the original script

1089
01:05:54,640 --> 01:05:57,560
Speaker 1: headed as Eminem's and they went to Mars and I heard,

1090
01:05:57,640 --> 01:05:59,680
Speaker 1: you get the funk out of here, kid, So they

1091
01:05:59,680 --> 01:06:02,960
Speaker 1: had to with Reese's pieces. And that's why we have

1092
01:06:03,040 --> 01:06:09,040
Speaker 1: Reca's pieces today because but yeah, that became the thing

1093
01:06:09,160 --> 01:06:13,160
Speaker 1: where like by accident, people saw the power of the

1094
01:06:13,200 --> 01:06:18,480
Speaker 1: Reese's pieces product placement and that launched you know, a

1095
01:06:18,560 --> 01:06:24,160
Speaker 1: thousand Dodge Chargers into action movies. Right. Oh wow. I

1096
01:06:24,160 --> 01:06:27,520
Speaker 1: didn't realize that the whole deal was that ambling made

1097
01:06:27,560 --> 01:06:29,680
Speaker 1: with her. She was like, we're not gonna pay for

1098
01:06:29,720 --> 01:06:32,600
Speaker 1: anything to put in this movie. And then you got

1099
01:06:32,600 --> 01:06:35,920
Speaker 1: to do a million dollars worth of advertising. Oh really

1100
01:06:36,120 --> 01:06:40,480
Speaker 1: yeah to promote ET Wow, and you can use and

1101
01:06:40,560 --> 01:06:43,520
Speaker 1: you can use e T in the ads. Well, I

1102
01:06:43,560 --> 01:06:47,360
Speaker 1: mean that's that makes deal. Yeah that that Yeah, that's

1103
01:06:47,400 --> 01:06:49,920
Speaker 1: a good deal. I feel like we've been trying to

1104
01:06:49,960 --> 01:06:52,439
Speaker 1: get Et too guests on this podcast for a long time.

1105
01:06:52,680 --> 01:06:57,120
Speaker 1: I know, keeps blowing us off dead. We got Elliot coming.

1106
01:06:59,160 --> 01:07:01,960
Speaker 1: Oh man that it was so cute now that like

1107
01:07:02,600 --> 01:07:08,480
Speaker 1: fifty year old man. Yeah, it's I never I just

1108
01:07:08,800 --> 01:07:12,440
Speaker 1: rewatched ET at Tarantino's movie Theater with my kid, and

1109
01:07:12,520 --> 01:07:14,680
Speaker 1: I hadn't seen it since I was a lot younger

1110
01:07:14,840 --> 01:07:18,000
Speaker 1: and as a as a parent. It just hit me

1111
01:07:18,640 --> 01:07:21,120
Speaker 1: back then, I was like, who's this dork? Fuck him?

1112
01:07:21,240 --> 01:07:26,840
Speaker 1: But yeah, now, really really great child performances in that movie.

1113
01:07:27,320 --> 01:07:33,280
Speaker 1: Yeah he's fifty. Yeah, yeah, time flies huh. I don't

1114
01:07:33,280 --> 01:07:35,680
Speaker 1: know why. I'm like, oh good, he's still he's thirteen,

1115
01:07:37,680 --> 01:07:40,800
Speaker 1: just a couple of years older. Elliott from the e

1116
01:07:40,960 --> 01:07:45,960
Speaker 1: T is the thirteen. Now people are like, whoa, he

1117
01:07:46,040 --> 01:07:52,960
Speaker 1: looks so different. Diana has been such a pleasure having

1118
01:07:53,000 --> 01:07:56,320
Speaker 1: you on the podject. Thanks for having me. Where can

1119
01:07:56,360 --> 01:07:59,520
Speaker 1: people find you and follow you? I'm on Twitter and

1120
01:07:59,560 --> 01:08:03,880
Speaker 1: Instagram him at dianamite boom and please listen to Ridiculous Romance,

1121
01:08:03,960 --> 01:08:07,440
Speaker 1: the podcast co host with my husband. Yeah. Yeah. And

1122
01:08:07,720 --> 01:08:09,560
Speaker 1: is there a tweet or some of the work of

1123
01:08:09,680 --> 01:08:13,320
Speaker 1: social media you've been enjoying? It was hard to it

1124
01:08:13,360 --> 01:08:18,800
Speaker 1: was hard to pick its. Twitter's on fire. But I

1125
01:08:18,840 --> 01:08:21,240
Speaker 1: think since we talked about vaccines a lot today, I'm

1126
01:08:21,240 --> 01:08:25,920
Speaker 1: going to have to say Mohannad Elashiki tweeted, please stop

1127
01:08:25,920 --> 01:08:29,080
Speaker 1: saying the vaccine doesn't have severe side effects. I took

1128
01:08:29,080 --> 01:08:30,960
Speaker 1: my shots and now I'm alive and have to keep

1129
01:08:30,960 --> 01:08:40,120
Speaker 1: working fuck at all. Where can people find you with

1130
01:08:40,160 --> 01:08:42,320
Speaker 1: a tweet you've been enjoying? Well, first, you can find

1131
01:08:42,360 --> 01:08:48,559
Speaker 1: me on the latest episode of Hood Politics, and he

1132
01:08:48,640 --> 01:08:51,080
Speaker 1: had me on to talk about lobbying, so I got

1133
01:08:51,120 --> 01:08:53,679
Speaker 1: to talk about all kinds of things from my time

1134
01:08:53,760 --> 01:08:57,120
Speaker 1: as a lobbyist in my perspective, and just trying to

1135
01:08:57,160 --> 01:08:59,919
Speaker 1: make it break it down easier for people to understand

1136
01:09:00,160 --> 01:09:03,320
Speaker 1: how what the nature of lobbying is, what it's really

1137
01:09:03,360 --> 01:09:06,280
Speaker 1: there to do, and why it's a fucking evil thing

1138
01:09:06,800 --> 01:09:09,000
Speaker 1: for the most smart. Obviously there's good lobbying too, but

1139
01:09:09,400 --> 01:09:11,160
Speaker 1: let's be real, most of the kind we're hearing about

1140
01:09:11,160 --> 01:09:14,719
Speaker 1: now isn't great. So check out hood Politics to see

1141
01:09:14,760 --> 01:09:17,040
Speaker 1: that or to rather to hear that. You can find

1142
01:09:17,080 --> 01:09:19,960
Speaker 1: me on Twitter and Instagram at Miles of Gray and

1143
01:09:20,000 --> 01:09:24,240
Speaker 1: also the other show, the FCE podcast for Fiance with

1144
01:09:24,280 --> 01:09:26,799
Speaker 1: Sophie Alexandra. Check us out at twitch dot tv slash

1145
01:09:27,000 --> 01:09:30,519
Speaker 1: for twenty Day Fiance. A tweet that I like, I

1146
01:09:30,560 --> 01:09:33,559
Speaker 1: think I have to Actually they're they're they're just very

1147
01:09:33,680 --> 01:09:39,200
Speaker 1: very wonderful tweets. The first one is from Tommy mcnam

1148
01:09:39,240 --> 01:09:43,120
Speaker 1: at Tommy mcnam tweeted, uh, starting my eulogy with my

1149
01:09:43,240 --> 01:09:49,400
Speaker 1: grandpa understood the assignment, Like, yeah, it's a great one.

1150
01:09:49,960 --> 01:09:53,320
Speaker 1: And then this is just a very very juvenile, childish

1151
01:09:53,400 --> 01:09:57,120
Speaker 1: tweet that I like. At Human Underscore not Underscore Bees

1152
01:09:57,479 --> 01:10:00,680
Speaker 1: tweeted we all dream of the Great British trip and

1153
01:10:00,800 --> 01:10:03,280
Speaker 1: this person mapped out all these sort of points in

1154
01:10:03,280 --> 01:10:05,920
Speaker 1: the UK, like for this road trip, and it's all

1155
01:10:05,960 --> 01:10:12,200
Speaker 1: stuff like shitter, tin ass hill, Aali penistone, cocker Mouth,

1156
01:10:12,479 --> 01:10:18,080
Speaker 1: dick Place, cock bridge and twat. So there's all of these.

1157
01:10:18,200 --> 01:10:20,679
Speaker 1: Uh yes, I just laughed at that, and best believe

1158
01:10:20,800 --> 01:10:22,839
Speaker 1: I checked because I'm like, I don't want to get duped.

1159
01:10:23,200 --> 01:10:26,800
Speaker 1: And oh, I thought you're gonna say, and they are

1160
01:10:26,800 --> 01:10:29,840
Speaker 1: in fact a human and not bees, because I'm still

1161
01:10:29,880 --> 01:10:33,880
Speaker 1: suspicious about that one. They are actually bees. They're definitely

1162
01:10:33,920 --> 01:10:38,759
Speaker 1: be a couple tweets I enjoyed. Rebecca Wiser tweeted crazy

1163
01:10:38,760 --> 01:10:40,760
Speaker 1: that you can have a job where you're responsible for

1164
01:10:40,840 --> 01:10:43,320
Speaker 1: saving a human life, or you can have a job

1165
01:10:43,320 --> 01:10:45,960
Speaker 1: where you need to send an email but don't. And

1166
01:10:46,040 --> 01:10:51,880
Speaker 1: that hit hard for me because my wife she comes

1167
01:10:51,920 --> 01:10:55,280
Speaker 1: home from a long day in the COVID tents and

1168
01:10:55,280 --> 01:10:58,880
Speaker 1: I'm like, oh, I'm so tired. I've been thinking about

1169
01:10:58,920 --> 01:11:09,160
Speaker 1: sending to email all day. Uh. And then Andrew, he's

1170
01:11:09,439 --> 01:11:13,599
Speaker 1: thinking about these emails. Oh my god, we've been married

1171
01:11:13,600 --> 01:11:15,960
Speaker 1: long enough. But just the idea that she would give

1172
01:11:16,000 --> 01:11:18,400
Speaker 1: me a foot rub is the funniest thing I can

1173
01:11:18,439 --> 01:11:24,639
Speaker 1: possibly Andrew Nado tweeted a horror movie, but the killer

1174
01:11:24,640 --> 01:11:28,639
Speaker 1: wears flip flops, so there's an ominous twip fwip sound

1175
01:11:28,680 --> 01:11:33,000
Speaker 1: as he hunts you down, like I always one. That's

1176
01:11:33,000 --> 01:11:37,120
Speaker 1: so funny. Maybe maybe we could pair it with the

1177
01:11:37,160 --> 01:11:40,679
Speaker 1: sheet mask and sheep mask and they're wearing those flip

1178
01:11:40,680 --> 01:11:43,080
Speaker 1: flops that they give you the nail salon when you

1179
01:11:43,120 --> 01:11:49,000
Speaker 1: get a pedicure. Ye. Yes, I'm ready for self care

1180
01:11:49,439 --> 01:11:57,360
Speaker 1: self care slasher. Yes, terrorizing the spas. You find me

1181
01:11:57,400 --> 01:12:00,360
Speaker 1: on Twitter at Jack Undersquirrel. Brian you can find on

1182
01:12:00,400 --> 01:12:03,280
Speaker 1: Twitter at Daily Zeke Guys. We're at the Daily zy

1183
01:12:03,360 --> 01:12:05,680
Speaker 1: Guys on Instagram. We have a Facebook fan page and

1184
01:12:05,720 --> 01:12:08,639
Speaker 1: a website Daily zys dot com. We post our episodes

1185
01:12:08,680 --> 01:12:12,040
Speaker 1: on our foot Nope, we link off to the information

1186
01:12:12,040 --> 01:12:14,479
Speaker 1: that we talked about today is episode as well as

1187
01:12:14,520 --> 01:12:18,439
Speaker 1: a song that we think you might enjoy. Miles, what

1188
01:12:18,560 --> 01:12:21,559
Speaker 1: song are we telling people to go check out? We're

1189
01:12:21,560 --> 01:12:26,400
Speaker 1: gonna ride out on this Thursday to problems by St Panther.

1190
01:12:26,920 --> 01:12:30,280
Speaker 1: St Panther, I believe it's from Earth Buying, California. Shout

1191
01:12:30,280 --> 01:12:33,400
Speaker 1: out SoCal uh and it's just like a multi instrumentalist

1192
01:12:34,000 --> 01:12:37,280
Speaker 1: singer songwriter. So I'm you know, I love people who

1193
01:12:37,400 --> 01:12:40,920
Speaker 1: are literate in all of the musical arts and making music.

1194
01:12:41,320 --> 01:12:43,559
Speaker 1: And this track is like a funky sort of new

1195
01:12:43,840 --> 01:12:45,559
Speaker 1: new age R and B track. It sounds like if

1196
01:12:45,680 --> 01:12:48,519
Speaker 1: Erica Badu was like a millennial or gen Z kind

1197
01:12:48,520 --> 01:12:50,640
Speaker 1: of saying like her sort of deliveries is sort of

1198
01:12:50,840 --> 01:12:53,800
Speaker 1: in that way. So it's familiar yet now. So this

1199
01:12:53,920 --> 01:12:57,240
Speaker 1: is Problems by St Panther Awesome. The Daily Zyka is

1200
01:12:57,280 --> 01:12:59,200
Speaker 1: a production of by Heart Radio for More podcast for

1201
01:12:59,320 --> 01:13:01,879
Speaker 1: my Heart Radio? Is that the radio app, Apple podcast

1202
01:13:01,920 --> 01:13:03,719
Speaker 1: or wherever you listen to your favorite shows. That's gonna

1203
01:13:03,760 --> 01:13:05,880
Speaker 1: do it for us this morning. But we're back this

1204
01:13:06,000 --> 01:13:09,080
Speaker 1: afternoon to tell you what is trending and we will

1205
01:13:09,080 --> 01:13:11,479
Speaker 1: talk to y'all then bye bye bye