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Speaker 1: You're watching anything good, watching season two of Shrinking. You're

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Speaker 1: watching the penguin, the big tall one, Pestal, Pestal, You're

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Speaker 1: just watching videos of that dude.

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Speaker 2: Oh yeah, yeah, I love I love that guy. I'm

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Speaker 2: gonna start telling people I'm watching the penguin. I just

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Speaker 2: mean the big tall penguin. Yeah, he's so tall. Yeah,

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Speaker 2: I guess, I guess. So, all right, that's probably something.

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Speaker 2: That's that's something.

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Speaker 3: It took me like halfway through that to realize, you

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Speaker 3: guys are trying to get a cold open.

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Speaker 4: It's hanging out with me.

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Speaker 2: I'm always workshopping. Anytime I'm talking to someone, I'm workshopping

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Speaker 2: cold open material.

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Speaker 4: You and Lorne, both of you, guys.

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Speaker 2: Yeah, yeah, exactly, Hello the Internet, and welcome to season three,

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Speaker 2: sixty one, Episode four of Dear Dailies. I guys stay

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Speaker 2: production of iHeartRadio, America's Only Undecided podcast. We're still making

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Speaker 2: up our minds. You know, Trump keeps doing these Univision

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Speaker 2: women's he's reaching out to women's and we're just we're

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Speaker 2: still learning. We're taking in new information, we're processing, but

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Speaker 2: we just we still don't know. So the New York

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Speaker 2: Times hit us up if you want to like throw

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Speaker 2: a viewing party for us or something like that, like

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Speaker 2: you do for other undecided voters. We our phones. The

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Speaker 2: lines are open. This is a podcast where we take

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Speaker 2: a deep dive into America's shared consciousness. And it is Friday,

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Speaker 2: October eighteenth, twenty twenty four. My name is Jack O'Brien

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Speaker 2: aka put uncle dunk duot dude, Put uncle dunk d

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Speaker 2: put uncle dunk. Do that that one courtesy of Hercule

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Speaker 2: puro ghe progi pracule perogi on the discord. Great name

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Speaker 2: uh in reference to peduncle, one of the great words

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Speaker 2: that I've learned in the past week. It means the

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Speaker 2: main stem. We learned it in reference to pumpkins having

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Speaker 2: a big old fat peduncle stems that. That's why farmers

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Speaker 2: are like, no, we can't, You can't come to the

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Speaker 2: actual pumpkin patch. They got peduncles that you're not gonna

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Speaker 2: be able to deal with. You can't deal with all

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Speaker 2: this peduncle. So that's why they just like have pumpkin

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Speaker 2: patches and parking lots now where they just like buy

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Speaker 2: pumpkins from Kroger and put them in a parking lot.

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Speaker 2: But anyways, I just love that word. My main takeaway,

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Speaker 2: I don't really give a shit that they aren't fake

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Speaker 2: punkin patches, but I do give a shit about the

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Speaker 2: word peduncle, and I like it. It sounds like a

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Speaker 2: description of a big, old dumb guy with a big

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Speaker 2: butt or something.

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Speaker 5: I enjoy it.

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Speaker 2: Anyways, I am thrilled to be joined once again by

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Speaker 2: a hilarious stand up comedian, writer, actor, improviser, the co

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Speaker 2: host with the mo host. You can catch her on

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Speaker 2: stand up stages everywhere. Check her website at the monthly

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Speaker 2: Facial Recognition comedy show, which she also produces. It's pobay.

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Speaker 4: They pay of Paradise and put up a pumpkin patch.

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Speaker 2: They did, and they did, and that is America's biggest problem.

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Speaker 2: According to me, an undecided.

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Speaker 3: Voter, I'm a political. I'm a political about pumpkin patches.

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Speaker 3: I just don't like to think about it.

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Speaker 4: It doesn't really affect me, you know.

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Speaker 2: So how are you doing, Paula.

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Speaker 4: I'm good. I was recount the horrors of Terrifier three,

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Speaker 4: and now that you will in my eyes.

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Speaker 2: So we did a story the last time you were

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Speaker 2: on that. Terrifier three is the number one movie in America.

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Speaker 2: It destroyed the other killer clown movie Joker foll Joker too,

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Speaker 2: and did yeah, Joker, that's right, and you went and

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Speaker 2: saw it and you said it was.

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Speaker 3: I don't I'm dedicate my next therapy session to just

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Speaker 3: talking about it because like I don't understand, like a

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Speaker 3: lot of people walked out and the ends, like the

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Speaker 3: entire time. Juckies was like, we can leave if you

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Speaker 3: need to leave, and I was like, I don't know.

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Speaker 3: It was it was definitely the most gory thing I've

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Speaker 3: ever seen, but beyond that, it was like fucked up

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Speaker 3: like but also like and terrifying. It was fucked up,

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Speaker 3: bro like super fucked up, but like all so like

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Speaker 3: terrifying but also like funny in parts, And I was like,

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Speaker 3: what is I it's you.

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Speaker 4: I don't know. I can't tell anyone to go see it.

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Speaker 4: But also I will never forget it.

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Speaker 2: There's unforgettable. You do sound exactly like the person they

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Speaker 2: interview in a in a commercial for like a horror movie. Yeah,

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Speaker 2: I was shaken. I was I'll never forget it. They

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Speaker 2: just like hut out the parts where you're like why

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Speaker 2: are they doing this?

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Speaker 3: Yeah?

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Speaker 2: Yeah, yeah, where you seem like existentially troubled.

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Speaker 4: I have a lot to think about, honestly, you do.

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Speaker 2: I mean you also like mentioned that the killer clown

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Speaker 2: in Terrifier three, you were like, I was actually really

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Speaker 2: impressed with their clowning. Yeah, deep clowning.

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Speaker 3: Not like they definitely, I'd be very surprised if they

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Speaker 3: weren't like a fully trained clown.

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Speaker 2: Yeah, like they trained at that school in Paris, where.

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Speaker 3: Like like I'm not even kidding, Like, yeah, that's like

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Speaker 3: the best clown work I've seen in a movie in

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Speaker 3: like a long time.

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Speaker 4: Maybe I don't know.

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Speaker 2: Well, speaking of some of the best clown work, worse

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Speaker 2: rip to be joined by a very funny stand up

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Speaker 2: comedian and writer out of New York City who's written

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Speaker 2: for The Young Ing and Colbert. You can see a

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Speaker 2: stand up special on his YouTube channel, Django Industries. It's

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Speaker 2: Django God.

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Speaker 5: Hello, Hello, thank you for allowing me to bring my

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Speaker 5: clownings you guys. It's funny how clown is just like

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Speaker 5: probably I'm sure you can tell the La scene. It's

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Speaker 5: become such a huge like faction of like the comedy scene.

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Speaker 5: Now there's like, yeah, it's like a clown aissance is

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Speaker 5: happening right now.

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Speaker 4: I do want to.

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Speaker 3: I want to give credit to Chad Damiani because he

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Speaker 3: is like the link between clowning in LA and stand

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Speaker 3: up and so like there is more more mesh between

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Speaker 3: that those worlds.

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Speaker 5: Now, would you say, is a scene dominated by roving

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Speaker 5: gangs of like bully clowns pile out of the car

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Speaker 5: and like surround you town to where.

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Speaker 3: Kick your ass while juggling, I would honestly be more

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Speaker 3: terrified of roving gangs of male comedians.

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Speaker 2: So yeah, that's right, Jo, I didn't mean. I was

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Speaker 2: just saying clown in the way that a high school

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Speaker 2: bully would call someone a clown. When we're saying you

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Speaker 2: speaking of clowns, This next clown has written for a

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Speaker 2: cold bet.

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Speaker 4: Okay, so a more demeaning way.

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Speaker 5: I just want to make a clown professional and personal clown.

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Speaker 2: That's right, clown.

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Speaker 5: It doesn't make the audience line.

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Speaker 4: That is something I will say. I want to like

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Speaker 4: see more.

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Speaker 3: This is so stupid, but I want to see more

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Speaker 3: clowning because because I do respect it as an art form.

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Speaker 3: I back to like all, like all types of performances,

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Speaker 3: I think it depends on the individual performance whether it

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Speaker 3: could be great or not. But I want to see

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Speaker 3: because I do know that sometimes clowning, like people often

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Speaker 3: fall into the thing of like getting naked or eating

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Speaker 3: crazy shit or doing like body stuff.

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Speaker 4: And I'm like yeah, and.

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Speaker 3: I'm like, what, Like, I want to see more shades

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Speaker 3: of clouding before to educate.

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Speaker 2: About those shades of clowning. So I clearly have a

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Speaker 2: lot to learn. I didn't know about the nudity or

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Speaker 2: the muck bang class. Jacks.

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Speaker 4: Jack's in now, he's all in.

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Speaker 2: Yeah, that's now. I'm back. All right, Jango, We're going

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Speaker 2: to get to know you a little bit better in

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Speaker 2: a moment. First, we're going to tell the listeners a

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Speaker 2: few of the things we're talking about today. So this

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Speaker 2: election at this point, like nobody knows what's going to happen.

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Speaker 2: It's like watching a weather report for a day three

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Speaker 2: weeks in the future. We're just like, I don't know,

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Speaker 2: could be really bad or not. Seems to be Like

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Speaker 2: we talked on yesterday's trending about like this polling article

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Speaker 2: from the New York Times where they're just like, yeah,

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Speaker 2: it could like so it could be like a big

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Speaker 2: miss towards the Republicans, or the opposite could be true. Also,

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Speaker 2: and we're just and these were like they're experts. So anyways,

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Speaker 2: one thing we do know for sure is it's going

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Speaker 2: to be a complete shit show at the polls. Election.

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Speaker 2: Poll workers already being kind of targeted by Trump conspiracy theories,

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Speaker 2: and the same Trump conspiracy theories that are similar to

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Speaker 2: the conspiracy theories that have like militias pulling guns on

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Speaker 2: FEMA workers recently. So it's just like a gnarly situation

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Speaker 2: that poll workers are walking into. And we are going

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Speaker 2: to try to engage the help of unpaid teenagers. Apparently

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Speaker 2: that is a big part of the plan, is getting

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Speaker 2: high school students tovolunteer to do pole working because they

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Speaker 2: can't find enough people who are willing to do it

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Speaker 2: not for a college credit. So we'll talk about that.

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Speaker 2: We will talk about just Trump's recent run of appearances

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Speaker 2: where his brain appears to be melting like cotton candy

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Speaker 2: that someone just dumped a diet coke onto. We'll talk

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Speaker 2: about the headquarters of the place where he makes his

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Speaker 2: six figure watches. That there's a place a company that's

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Speaker 2: based in Wyoming. CNN went there and I just the

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Speaker 2: physical description of the place where these watches are made

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Speaker 2: is pretty incredible. So we'll talk about that, and of

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Speaker 2: course we will talk about tostitos and Dorito's and how

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Speaker 2: they're fighting shrinkflation, but not really all of that plenty more.

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Speaker 2: But first, Jango, we do like to ask our guests,

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Speaker 2: what is something from your search history that's revealing about

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Speaker 2: who you are?

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Speaker 5: This is a good one that really kind of encompasses

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Speaker 5: a lot of my my anxieties. But the last thing

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Speaker 5: I searched for was can a radiator catch your mattress

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Speaker 5: on fire? Because obviously, you know, in New York it

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Speaker 5: started started to get cold finally, and the old creaky

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Speaker 5: radiator started up. And the first thing I thought I

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Speaker 5: was like, oh my god, I'm gonna die in the fire. Yeah,

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Speaker 5: this is gonna happen. So I looked up.

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Speaker 4: Also, it's very New York that your mattress is basically

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Speaker 4: on top of your radiator.

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Speaker 5: That's the thing I could move it away with, I would

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Speaker 5: sacrifice like one third of my bedroom space. So I

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Speaker 5: had to carefully weigh that against whether I want to

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Speaker 5: be alive or not.

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Speaker 2: Yeah, I lived in a room so small in New

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Speaker 2: York that my mattress was not flat on the ground.

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Speaker 2: It was like I also just like had three pieces

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Speaker 2: of furniture and I probably could have only had two in.

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Speaker 5: The room, you know, And so it need that big

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Speaker 5: that big wood.

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Speaker 2: I didn't need that globe. Yeah it was a globe

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Speaker 2: and the other one was just a giant steer wheel

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Speaker 2: from a ship.

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Speaker 5: Yeah, it's called interior design.

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Speaker 2: Thank you.

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Speaker 5: Yeah.

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Speaker 2: The heating situation in New York is so wild. It

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Speaker 2: really like is the most steampunk thing that just exists

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Speaker 2: in our Yeah, hot stuff goes through this pipe and

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Speaker 2: the pipe is like growling at you throughout the night.

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Speaker 5: It's also wild how hot it gets like at the

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Speaker 5: first Like I feel like in my building that they're

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Speaker 5: kind of like testing out different temperatures. First day, ninety

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Speaker 5: eight degrees. Vietnam can't beat jungle just immediately, just ghost

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Speaker 5: Yeah awful. So they're fine tuning at the moment. But

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Speaker 5: as long as I'll die in my sleep, I'll be

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Speaker 5: a happy camper.

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Speaker 2: Yeah, what is something you think is underrated?

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Speaker 5: Oh this is a new one for me. So my

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Speaker 5: whole life, I've been like a like an ice cream purist,

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Speaker 5: Like I'm like anti gelata, anti frozen yogurt. My my

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Speaker 5: thinking has always been you know, if you're gonna indulge,

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Speaker 5: indulge all the way full fat. Yeah. Yeah, recently I

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Speaker 5: had a nice little scoop of sorbet and brother sister,

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Speaker 5: I think I might be on I might be on

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Speaker 5: the Sorbet train.

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Speaker 2: I think it's sort of pussy. I know, I know,

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Speaker 2: I know, but you said obviously I can't.

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Speaker 4: It's a very alpha male of you.

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Speaker 2: I'm coming in here saying like sorbet clown.

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Speaker 5: It's like it's almost it's like such like a fake

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Speaker 5: food because it's just like pure.

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Speaker 4: And I taste like clouds.

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Speaker 5: It tastes like clouds. It has no nutritional no fat

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Speaker 5: now at all. It's kind of like it's like you

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Speaker 5: know when the zoo keeper will put like a like

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Speaker 5: a on, like like a puppet of an animal, and

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Speaker 5: I put it in the cage with the put like

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Speaker 5: a ferret puppet. It's like that's like the version of

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Speaker 5: ice cream I'm eating with sorbet. But I do find

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Speaker 5: it quite quite light and refreshing. So that's my underrade

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Speaker 5: pick of the week.

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Speaker 2: Yeah, it's it's good. It does make up for any

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Speaker 2: loss of fat with just being the sweetest. Yeah, like

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Speaker 2: the most sugar that you can possibly concentrate into a

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Speaker 2: tiny little spoon. Yea, And I appreciate it for that.

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Speaker 2: That is one of the things I've learned to love

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Speaker 2: about sorbet is it's it's sweeter than ice cream in

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Speaker 2: some cases.

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Speaker 5: In any cases, well, it's fruit fruit juice, which is

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Speaker 5: already really sweet, add sugar to it.

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Speaker 2: What if this was like way sweeter though, Like so

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Speaker 2: it was like not even a liquid anymore, but like

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Speaker 2: more gelatinous. Yeah yeah, but so wait, gelato is that

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Speaker 2: a healthier alternative to ice cream? I always thought it

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Speaker 2: was just softer.

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Speaker 5: It's just your European and you know, as a as

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Speaker 5: a red bladed American male, I naturally assume assume that

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Speaker 5: it's less full, less less fatty.

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Speaker 2: Right, it might not be true.

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Speaker 3: Silato has four to the usual ten to twenty percent

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Speaker 3: of ice cream, so it is lighter and healthier.

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Speaker 5: So there's like an inject air into it to make

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Speaker 5: it puffier. I guess, Okay, not for me.

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Speaker 2: Nice try nice, Try Italy, but.

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Speaker 3: Watch again, no poc slander against the Italians, okay, my brother?

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Speaker 2: Where Italians are considered poc.

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Speaker 4: Me and ariana grandi.

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Speaker 2: Brandy when when it was our grandfather. It was the grandies,

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Speaker 2: but now it's GRANDI. What is What's something you think

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Speaker 2: is overrated?

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Speaker 5: Man, I've tried for years to get on board with this,

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Speaker 5: but I think I'm done with buying, nurturing and watching

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Speaker 5: house plants die. I think I'm just done with plants

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Speaker 5: because they just always fucking They just immediately start getting

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Speaker 5: sicker and sicker. As soon as I take them home.

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Speaker 5: They attract they attract bugs. When out of town, I

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Speaker 5: have to have a friend over. It's just too much

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Speaker 5: work and I suck at raising them. So I think

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Speaker 5: might I might be out on the pandemic plant.

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Speaker 3: Okay, that's I'm hearing. I'm hearing what you're saying, and

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Speaker 3: I'm hearing you go, come on.

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Speaker 4: Get out of here.

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Speaker 3: I want anyway that you die.

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Speaker 5: It's an situation. But I mean, I don't know how

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Speaker 5: much more love and attention can I give these things

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Speaker 5: and they just wilt. They immediately will. It's suppressing.

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Speaker 2: I mean, even in the canopy jungle of your room.

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Speaker 5: I know if they can't survive here, they can't they

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Speaker 5: can't make it anywhere.

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Speaker 3: I also feel that it might be the widely, vastly

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Speaker 3: fluctuating temperatures probably killing them and also partially you at

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Speaker 3: the same time.

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Speaker 2: It's like your room is like the surface of mercury.

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Speaker 2: It's like it's freezing. It's zero celsius.

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Speaker 5: I'm certainly not sclaiming the plan. I'm certainly not absolving myself.

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Speaker 5: I've not been a good father figure to these guys. Yeah, almighty.

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Speaker 5: Some of us just aren't cut out for it.

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Speaker 3: Maybe you need to be like a step dad to

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Speaker 3: a plant first, and then that'll ease you back it.

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Speaker 4: You can adopt a plant.

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Speaker 5: If I could got another household to raise the plant

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Speaker 5: to maturity, then I could come in and take it

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Speaker 5: to go to see baseball games. That would be ideal.

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Speaker 2: Yeah. Yeah, just fostering a plant situation. Maybe you could

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Speaker 2: be the friend who's watering other people's plants when they're

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Speaker 2: out of town.

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Speaker 4: Oh yeah, I can dig that.

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Speaker 2: Yeah.

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Speaker 3: You're not the step plant dad, you're the plant dad

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Speaker 3: that's stepped down.

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Speaker 2: That's right, right, Yeah. Yeah, plants are temperamental. I've had

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Speaker 2: varying levels of success, like California. Southern California is Like

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Speaker 2: I went from Missouri to New York to southern California,

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Speaker 2: and I tried Missouri, and I tried to have a

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Speaker 2: garden in Missouri and I was very unsuccessful. New York

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Speaker 2: didn't even bother like other than like a couple of

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Speaker 2: orchids that lasted a week or so, and then oh orchids.

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Speaker 2: I I I am known in the orchid community. It's

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Speaker 2: like an I am legend situation in the orchid community.

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Speaker 2: Spoiler alert for the end of that movie. But yeah,

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Speaker 2: they they know about me and run when I enter

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Speaker 2: a room. And then Southern You come to southern California

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Speaker 2: and you just like drop an apple by accident and

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Speaker 2: like a tree is growing there the next day. It's

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Speaker 2: just like the most just a verdant place in the

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Speaker 2: world fertile, verdant, other vocabulary words calif Right, Yeah, so

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Speaker 2: I recommend moving to southern California. That might be the

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Speaker 2: easiest problems.

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Speaker 5: Move across the country.

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Speaker 2: There, you go, that's true. It does they do love

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Speaker 2: a sorbet out here because everybody's vegan.

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Speaker 4: H yeah, I'm gonna say that.

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Speaker 5: Actually, oh yeah.

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Speaker 4: It's a nice vegan option for me.

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Speaker 3: When people want to go get ice cream and I'm like,

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Speaker 3: but I want to be included. We're like at a

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Speaker 3: at a restaurant they have sorbet often.

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Speaker 5: Yeah, its are.

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Speaker 2: What are you having pre dinner?

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Speaker 5: The three globes of ice? Please, I don't want to

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Speaker 5: I don't want to be Let's give me three globes.

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Speaker 2: All right, Let's take a quick break and we'll come

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Speaker 2: back and we'll talk about the news. And we're back, like,

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Speaker 2: how's everybody doing with the election? Like I'm I'm the

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Speaker 2: fear is on me, I said, for like a couple

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Speaker 2: of weeks now the fear is on me. I'm just

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Speaker 2: like having flashbacks to twenty sixteen, reading a bunch of

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Speaker 2: shit about like how the polling can go as in

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Speaker 2: the past, like vastly underestimated Trump. I'm like oscillating between

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Speaker 2: that and then being like, if Trump loses, maybe this

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Speaker 2: is it because his brain so bad, Maybe the whole

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Speaker 2: like open fascism thing will will be gone. But how

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Speaker 2: are you guys feeling? Is everybody hanging in there?

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Speaker 5: Feels like we really we like Blake and I we

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Speaker 5: went from like six months out to three weeks out

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Speaker 5: and seemed like it was it just came down the

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Speaker 5: pike real quick, and I was like, oh, the rubbers

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Speaker 5: being the road here, and yeah, I think I think

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Speaker 5: what you're what you're talking about is like kind of

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Speaker 5: my anxiety where it's like the more you read, the

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Speaker 5: less calm you feel, because you just keep on getting

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Speaker 5: all these like contradictory you know, op eds you see

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Speaker 5: and like they'll can you know, I'm very malleable in

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Speaker 5: my opinions. So like any articles like yo, like oh,

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Speaker 5: Harris is a lot for Michigan, Like great, it's in

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Speaker 5: the bag. We're done. And then like it's like, oh,

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Speaker 5: these poles are all nonsense.

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Speaker 2: Yeah, Michigan's over. Yeah, Michigan kiss, Michigan could buy assholes.

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Speaker 2: It's Trump Country.

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Speaker 5: The best thing I've been doing for myself is just

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Speaker 5: trying to remind myself.

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Speaker 2: That nobody knows anything.

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Speaker 5: Nobody knows anything.

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Speaker 2: Yeah, And by saying your opinions are very malleable, that's

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Speaker 2: because you're still an undecided Like yeah, that's right.

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Speaker 5: Well I'm still pretty much in the bag for Cornell

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Speaker 5: West h.

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Speaker 2: Yeah that where did that? What happened?

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Speaker 5: God damn, he's still going straw man. He can he

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Speaker 5: got a victory, and uh, what's the state you can win? Alaska?

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Speaker 2: Oh well that's unfortunately. So I think one of the

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Speaker 2: big things that we know is going to be an issue,

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Speaker 2: is the like what is going to happen at the

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Speaker 2: polls on election day. This was a big concern heading

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Speaker 2: into the twenty twenty.

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Speaker 3: Election, handing out comedy flyers at the election day, I will.

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Speaker 2: Be barking, bring your friends, I'll bring a.

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Speaker 3: QR code for my Instagram. They're going to be in line.

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Speaker 5: Have assault rifle as well as that.

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Speaker 2: Yeah show, that's yeah. I mean that you'll fit in

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Speaker 2: better if you have an assault rifle. I remember having

396
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Speaker 2: these concerns heading into the twenty twenty election, and that

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Speaker 2: was before they staged an insurrection to try and overturn

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Speaker 2: the results of that election. So and by the way,

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Speaker 2: Trump has recently gone on record referring to the people

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Speaker 2: who were aded on January sixth, says, we like we

401
00:22:31,680 --> 00:22:36,760
Speaker 2: and we were very peaceful. So that's unnerving. And I

402
00:22:36,800 --> 00:22:40,560
Speaker 2: think it's just one of the big questions concerns surrounding

403
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Speaker 2: this election, like, first of all, how safe will it

404
00:22:44,280 --> 00:22:46,639
Speaker 2: be for them? Second of all, will there actually be

405
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Speaker 2: any read that first question about how safe it's going

406
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Speaker 2: to be? Will anybody actually want to do this job?

407
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Speaker 2: Because there is a massive shortage in poll workers owing

408
00:22:58,920 --> 00:23:02,840
Speaker 2: to a mass exodus in twenty twenty caused by the

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Speaker 2: pandemic first of all, and then countless Trump inspired threats

410
00:23:08,080 --> 00:23:13,119
Speaker 2: and intimidation campaigns like that. It was ugly in twenty twenty.

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Speaker 2: Like there, I still remember like some of those scenes

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Speaker 2: in like Detroit where there was just like massive crowds

413
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Speaker 2: of Trump supporters like chanting stop the count outside of God. Yeah, yeah,

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00:23:28,119 --> 00:23:30,720
Speaker 2: they're talking about that. They're talking about the count from

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Speaker 2: Sesame Street.

416
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Speaker 4: He's an immigrant, Get him out of here.

417
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Speaker 2: What's he doing in this election.

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Speaker 4: I'm going to take your jobs.

419
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Speaker 5: I want to stop the count.

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Speaker 2: The shortage is pretty understandable since more than half of

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Speaker 2: election officials have reported being concerned about the safety of

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00:23:48,680 --> 00:23:53,760
Speaker 2: their colleagues or staff already this year. Because yeah, there

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00:23:54,119 --> 00:23:58,679
Speaker 2: it's just there's constant like threats. There's a lot of

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00:23:58,720 --> 00:24:04,120
Speaker 2: like right wing training happening. So yeah, it's it's not

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00:24:04,200 --> 00:24:08,200
Speaker 2: just that like concerns that voting sites will be understaffed.

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00:24:08,760 --> 00:24:12,840
Speaker 2: There's also like right wing conspiracy theorists. Theorists are actively

427
00:24:12,840 --> 00:24:16,520
Speaker 2: trying to use the shortage to install their own pole watchers,

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Speaker 2: as you know, workers in swing.

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Speaker 4: States who will watch the watchers.

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Speaker 2: Right yeah, so they will watch the watchers.

431
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Speaker 4: They're going to watch.

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Speaker 5: I gotta say, all these factoids you're dropping here are

433
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Speaker 5: not making me feel any better.

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Speaker 2: But I know it's not well, yeah's feeling good.

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00:24:34,880 --> 00:24:37,960
Speaker 4: Well, let me just wreck that for you, right.

436
00:24:38,000 --> 00:24:42,439
Speaker 5: He just check insurrection. My local high school gymnasium is

437
00:24:42,440 --> 00:24:44,160
Speaker 5: not mind at ease.

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Speaker 2: Yeah, And I feel like that's I don't know, it

439
00:24:48,560 --> 00:24:51,520
Speaker 2: feels like a tangible thing at least, but it's like

440
00:24:51,560 --> 00:24:53,000
Speaker 2: a very scary one.

441
00:24:53,480 --> 00:24:54,040
Speaker 5: Yeah.

442
00:24:54,080 --> 00:24:57,600
Speaker 2: They keep in these like places where they're recruiting and

443
00:24:57,680 --> 00:25:01,480
Speaker 2: training right wing pole watchers. They're talking about acting as

444
00:25:01,520 --> 00:25:05,240
Speaker 2: a spy or a trojan horse. That's literally how like

445
00:25:05,280 --> 00:25:11,960
Speaker 2: a Christian right influencer described his plan. So yeah, yeah,

446
00:25:12,119 --> 00:25:21,520
Speaker 2: this is specifically what happened. There was there was a

447
00:25:21,920 --> 00:25:25,159
Speaker 2: usc like there. Their football team is called the Trojans.

448
00:25:25,560 --> 00:25:27,960
Speaker 2: There's like all their sports teams are called the Trojans.

449
00:25:27,960 --> 00:25:31,800
Speaker 2: And they had like a warm up video this year

450
00:25:31,840 --> 00:25:35,520
Speaker 2: where they were like pretending to be in the trophan

451
00:25:35,560 --> 00:25:37,639
Speaker 2: like they showed a Trojan horse and then like showed

452
00:25:37,640 --> 00:25:40,639
Speaker 2: themselves and it's like, wait, no, you guys are the Trojans,

453
00:25:40,680 --> 00:25:43,880
Speaker 2: Like you're the Trojan horse. Foled you it was against

454
00:25:44,080 --> 00:25:45,240
Speaker 2: to the Trojans.

455
00:25:45,640 --> 00:25:48,120
Speaker 5: Well, these football players aren't much on book learning.

456
00:25:48,800 --> 00:25:53,600
Speaker 2: They're not they're not history majors. But anyways, that's what

457
00:25:53,760 --> 00:25:57,040
Speaker 2: the Christian rights planning to do. There are safeguards that

458
00:25:57,080 --> 00:25:59,960
Speaker 2: would prevent these workers from interfering in the electoral process,

459
00:26:00,359 --> 00:26:04,160
Speaker 2: but their presence will probably lead to, at the very least,

460
00:26:04,160 --> 00:26:07,680
Speaker 2: a lot of misinformation, which you know, is what we're

461
00:26:07,720 --> 00:26:12,200
Speaker 2: seeing happen, a lot of like just with her things

462
00:26:12,280 --> 00:26:16,919
Speaker 2: that straightforward as hurricane relief, you know, just sure Trump

463
00:26:16,960 --> 00:26:20,200
Speaker 2: and Jade vance hurricane as information.

464
00:26:20,880 --> 00:26:25,560
Speaker 3: What does training entail? Like, like what does it mean?

465
00:26:26,000 --> 00:26:28,920
Speaker 3: Are they are they getting trained in martial arts?

466
00:26:28,960 --> 00:26:31,960
Speaker 2: Like what they do? You've seen those videos of.

467
00:26:34,880 --> 00:26:36,320
Speaker 4: It's going to like train them.

468
00:26:36,480 --> 00:26:42,040
Speaker 2: Yeah, it's a desert they're doing the the monkey bars

469
00:26:42,119 --> 00:26:42,960
Speaker 2: and then firing.

470
00:26:43,520 --> 00:26:47,960
Speaker 5: Yeah, all these elderly are kicking, kicking some serious ass

471
00:26:48,520 --> 00:26:49,320
Speaker 5: come to.

472
00:26:49,680 --> 00:26:52,960
Speaker 2: I'm guessing it has very little like physical training and

473
00:26:53,040 --> 00:26:56,320
Speaker 2: more just like here's where to apply and here's how

474
00:26:56,400 --> 00:26:59,919
Speaker 2: to make your presence felt even though you're not supposed to,

475
00:27:00,560 --> 00:27:01,280
Speaker 2: you know what I mean.

476
00:27:01,440 --> 00:27:03,280
Speaker 5: Here's how to use a voting machine that's made in

477
00:27:03,359 --> 00:27:04,280
Speaker 5: nineteen eighty.

478
00:27:04,560 --> 00:27:09,680
Speaker 2: Right, So people the states have been desperate to hire

479
00:27:09,760 --> 00:27:13,200
Speaker 2: new poll workers because of this, and they're so desperate,

480
00:27:13,560 --> 00:27:16,640
Speaker 2: in fact, that in Kentucky they've been putting QR codes

481
00:27:16,680 --> 00:27:20,560
Speaker 2: on beer cans and wine bottles, allowing people to easily

482
00:27:20,600 --> 00:27:24,280
Speaker 2: sign up to be poll workers and then presumably it's

483
00:27:24,280 --> 00:27:25,760
Speaker 2: too late to back out of it once.

484
00:27:26,280 --> 00:27:30,080
Speaker 5: That really is something you wake up like, oh my god,

485
00:27:30,080 --> 00:27:32,000
Speaker 5: I'm doing I'm doing what this week?

486
00:27:32,640 --> 00:27:33,520
Speaker 2: Oh?

487
00:27:33,560 --> 00:27:35,440
Speaker 5: Why do I ever agree to make plans?

488
00:27:36,080 --> 00:27:39,679
Speaker 3: That is crazy that they're trying to get drunk people

489
00:27:39,680 --> 00:27:42,120
Speaker 3: to sign up because they're like, only drunk people would

490
00:27:42,119 --> 00:27:47,440
Speaker 3: be would be willing to put their bodies that were Yeah, you.

491
00:27:47,359 --> 00:27:51,280
Speaker 5: Know who loves waking up early on a weekday alcoholics

492
00:27:52,160 --> 00:27:54,119
Speaker 5: top of the crack of dawn. They'll be out there.

493
00:27:54,400 --> 00:27:58,439
Speaker 2: Yeah, I'm sure we'll have the best that just election

494
00:27:58,560 --> 00:28:04,720
Speaker 2: day won't happen because no, he shows up. Nebraska is

495
00:28:04,760 --> 00:28:08,600
Speaker 2: allowing counties to draft workers to fill election vacancies, sort

496
00:28:08,600 --> 00:28:13,360
Speaker 2: of how we do jury duty? Yeah, paid though, right,

497
00:28:13,800 --> 00:28:18,560
Speaker 2: yes they do. How well they get paid is another question.

498
00:28:19,000 --> 00:28:21,120
Speaker 5: That seems to be the solution right there, Just give

499
00:28:21,160 --> 00:28:22,160
Speaker 5: them more money.

500
00:28:22,800 --> 00:28:25,200
Speaker 3: Okay, but we don't want to do that go wait

501
00:28:25,359 --> 00:28:28,520
Speaker 3: a second, Okay, no, And also we're going to take

502
00:28:28,560 --> 00:28:30,399
Speaker 3: away whatever healthcare you have about.

503
00:28:33,600 --> 00:28:38,720
Speaker 2: So they're apparently turning to child labor in this worker shortage.

504
00:28:39,160 --> 00:28:42,120
Speaker 4: Children yearn for the polls.

505
00:28:41,360 --> 00:28:45,720
Speaker 2: They do, so all the young Ruffians with their tiktoks

506
00:28:45,800 --> 00:28:48,760
Speaker 2: and Sony Discman's Is that right?

507
00:28:49,120 --> 00:28:52,520
Speaker 4: I walk into the tar pits right now.

508
00:28:53,760 --> 00:28:57,240
Speaker 2: You know, the ones that the very people who are

509
00:28:57,440 --> 00:29:01,040
Speaker 2: fueling the rise of Trump, like the Boomer et cetera,

510
00:29:02,000 --> 00:29:06,880
Speaker 2: like already hate so much, just NonStop, like it's their

511
00:29:06,920 --> 00:29:11,120
Speaker 2: favorite thing is to complain about them. That those people

512
00:29:11,240 --> 00:29:14,479
Speaker 2: are going to be like a sea of those of

513
00:29:14,520 --> 00:29:17,200
Speaker 2: these children are going to be awaiting the boomers at

514
00:29:17,240 --> 00:29:20,840
Speaker 2: the polls according to this plan, which I feel like

515
00:29:20,960 --> 00:29:23,880
Speaker 2: would would be the equivalent of like a bunch of

516
00:29:23,920 --> 00:29:26,479
Speaker 2: people with ars, Like they would be there to make

517
00:29:26,480 --> 00:29:29,200
Speaker 2: the Boomers feel safe, but then the children would just

518
00:29:29,920 --> 00:29:33,280
Speaker 2: they wouldn't know what to do. They'd be pretty furious.

519
00:29:33,520 --> 00:29:36,440
Speaker 5: It's a bad situation where you have like some stone

520
00:29:36,600 --> 00:29:41,360
Speaker 5: seventeen year old like like counting ballots or being entrusted

521
00:29:41,400 --> 00:29:43,520
Speaker 5: in carrying a box of ballots to someone's car.

522
00:29:43,600 --> 00:29:47,080
Speaker 2: You know, Yeah, did you ever like have to do

523
00:29:48,160 --> 00:29:51,600
Speaker 2: like high school like fundraising work for I think I

524
00:29:51,640 --> 00:29:54,120
Speaker 2: did it for my basketball team where we like worked

525
00:29:54,120 --> 00:29:57,120
Speaker 2: at parking lots of like a fish show or like.

526
00:29:57,200 --> 00:30:01,240
Speaker 2: It was just like they were just hav high school

527
00:30:01,280 --> 00:30:04,800
Speaker 2: students and be like, yeah, you're doing child labor, but

528
00:30:04,920 --> 00:30:09,720
Speaker 2: you're doing it for this program that needs money to

529
00:30:09,880 --> 00:30:12,400
Speaker 2: like pay for gas to go to like the next

530
00:30:12,480 --> 00:30:13,080
Speaker 2: away game.

531
00:30:13,520 --> 00:30:15,719
Speaker 5: So you just went up to people with like nitrous

532
00:30:15,720 --> 00:30:16,400
Speaker 5: balloons there.

533
00:30:16,840 --> 00:30:22,280
Speaker 2: Exactly, like worked a bingo hall where you couldn't like

534
00:30:22,480 --> 00:30:24,720
Speaker 2: see three feet in front of your face from the

535
00:30:24,720 --> 00:30:29,040
Speaker 2: cigarette smoke. Just like you know, just stuff like jobs

536
00:30:29,120 --> 00:30:34,080
Speaker 2: that could have been staffed by people and paid for.

537
00:30:34,400 --> 00:30:36,960
Speaker 2: They were just like, no, we'll just throw these children

538
00:30:37,000 --> 00:30:39,640
Speaker 2: at it. And it feels like that is the level,

539
00:30:40,280 --> 00:30:46,160
Speaker 2: like the lowest level of employment that you could possibly have,

540
00:30:46,320 --> 00:30:48,760
Speaker 2: is like we'll just make high school kids do it

541
00:30:48,800 --> 00:30:52,400
Speaker 2: because they will think it's like good for their resume.

542
00:30:52,560 --> 00:30:54,440
Speaker 2: That's like how it's being pitched to them.

543
00:30:54,680 --> 00:31:01,400
Speaker 5: Yeah, I worked on the last day of American democracy.

544
00:30:59,680 --> 00:31:03,840
Speaker 2: Yeah exactly, but it's actually had like all over the country,

545
00:31:03,880 --> 00:31:07,640
Speaker 2: officials are actively recruiting high school students to become poll workers,

546
00:31:08,240 --> 00:31:11,160
Speaker 2: and while miners aren't allowed to become poll workers in

547
00:31:11,200 --> 00:31:15,320
Speaker 2: every in every state a loophole allows for it, as

548
00:31:15,400 --> 00:31:19,600
Speaker 2: long as they're pre registered to vote.

549
00:31:20,040 --> 00:31:22,480
Speaker 3: There's gonna be a whole group of like weird in

550
00:31:22,600 --> 00:31:25,280
Speaker 3: cell dudes who haven't memorized like the ages that they're

551
00:31:25,280 --> 00:31:27,120
Speaker 3: allowed to be poll workers state by state.

552
00:31:32,040 --> 00:31:36,480
Speaker 2: In some cases they're paid just like regular poll workers,

553
00:31:36,920 --> 00:31:39,840
Speaker 2: which I don't think as much because in other cases

554
00:31:39,920 --> 00:31:43,520
Speaker 2: they're simply asked to work for free pizza because the

555
00:31:43,600 --> 00:31:48,400
Speaker 2: gig is such a quote resume booster. So surely the

556
00:31:48,480 --> 00:31:52,800
Speaker 2: solution to this national emergency is not to treat election

557
00:31:52,920 --> 00:31:55,440
Speaker 2: workers even worse. But that does seem to be the

558
00:31:55,480 --> 00:31:58,040
Speaker 2: direction that we're going with it.

559
00:31:58,280 --> 00:32:01,120
Speaker 3: I think it actually might be a good thing, because

560
00:32:01,320 --> 00:32:05,520
Speaker 3: imagine you go with your like ar whatever to the polls.

561
00:32:05,680 --> 00:32:09,600
Speaker 3: You're this angry Republican and then a fucking teenager just

562
00:32:09,720 --> 00:32:11,640
Speaker 3: roast the shit out of your shoes, Like what are

563
00:32:11,640 --> 00:32:13,640
Speaker 3: you gonna do? You know what I mean, You're armed,

564
00:32:13,680 --> 00:32:16,600
Speaker 3: but disarmed, you know, Like, there's nothing crueler than a

565
00:32:16,640 --> 00:32:19,680
Speaker 3: teenager who has something to prove.

566
00:32:20,680 --> 00:32:23,800
Speaker 5: Yeah, I think a person with a gun, big.

567
00:32:25,400 --> 00:32:27,080
Speaker 2: Yeah, it's kind of hard to make fun of the

568
00:32:27,160 --> 00:32:29,520
Speaker 2: shoes of people who are carrying ars.

569
00:32:29,560 --> 00:32:32,120
Speaker 5: But ye, nice gun loser.

570
00:32:33,640 --> 00:32:35,520
Speaker 4: What are you gonna shoot me, you bitch?

571
00:32:36,040 --> 00:32:39,120
Speaker 5: Yeah much getting shot shot out in exchange for two

572
00:32:39,200 --> 00:32:40,680
Speaker 5: slices of Domino's pizza.

573
00:32:41,160 --> 00:32:44,560
Speaker 2: Right, But it's I mean, it seems like a bad

574
00:32:44,640 --> 00:32:48,720
Speaker 2: idea in terms of just like accomplishing the thing you're

575
00:32:48,720 --> 00:32:52,200
Speaker 2: looking for. It also seems cruel when you keep in

576
00:32:52,280 --> 00:32:54,480
Speaker 2: mind that, like, the reason there's a shortage of poll

577
00:32:54,480 --> 00:32:57,960
Speaker 2: workers the first place is due to widespread harassment, and

578
00:32:58,000 --> 00:33:03,000
Speaker 2: we're like just throw miners in that some miners of

579
00:33:03,040 --> 00:33:06,800
Speaker 2: the problem, and the fact that they're actually like that,

580
00:33:07,000 --> 00:33:12,760
Speaker 2: they're even selling it as this is valuable life experience

581
00:33:12,920 --> 00:33:17,280
Speaker 2: if you engage with like a disaffected voter who's mad

582
00:33:17,320 --> 00:33:20,400
Speaker 2: at you like this is a quote for Caswell students,

583
00:33:20,440 --> 00:33:23,440
Speaker 2: Dealing with the occasional frustrated voter can be a valuable

584
00:33:23,520 --> 00:33:28,280
Speaker 2: job skill experience. She said. One of the people was

585
00:33:28,400 --> 00:33:31,720
Speaker 2: speaking in favor of this plan. It's not the same

586
00:33:31,840 --> 00:33:33,800
Speaker 2: talking about it in a classroom as it is with

587
00:33:33,880 --> 00:33:36,480
Speaker 2: a stranger who's coming in yelling at them. She said,

588
00:33:37,040 --> 00:33:39,360
Speaker 2: they have to learn this is a real this is

589
00:33:39,440 --> 00:33:42,440
Speaker 2: real life. This happens if I work at McDonald's somebody

590
00:33:42,480 --> 00:33:45,880
Speaker 2: might get mad, whether they're right or wrong. It's a

591
00:33:46,000 --> 00:33:47,280
Speaker 2: valuable on the job.

592
00:33:47,120 --> 00:33:51,240
Speaker 3: Training to learn about suffering and danger because it later

593
00:33:51,320 --> 00:33:54,160
Speaker 3: I will also experience suffering and danger.

594
00:33:54,760 --> 00:34:00,240
Speaker 5: Right, those scam life experiences, right, very bad thing that

595
00:34:00,240 --> 00:34:02,280
Speaker 5: happens to you. That's a viable life experience.

596
00:34:02,760 --> 00:34:04,040
Speaker 4: It's pretty exposure.

597
00:34:04,680 --> 00:34:08,240
Speaker 5: Yeah, that's exactly what it is. Exposure and life experience

598
00:34:08,280 --> 00:34:12,080
Speaker 5: are on the same boat here. Yeah, I exposed to

599
00:34:12,120 --> 00:34:13,120
Speaker 5: a mad man with a gun.

600
00:34:13,520 --> 00:34:15,319
Speaker 3: I one hundred percent would have done this to be

601
00:34:15,360 --> 00:34:17,759
Speaker 3: in like the Honor Society or something like. I would

602
00:34:17,760 --> 00:34:20,399
Speaker 3: have been one of the kids they duped. I would

603
00:34:20,400 --> 00:34:22,439
Speaker 3: have been like, yeah, I'll go, I don't care. I'll

604
00:34:22,480 --> 00:34:23,880
Speaker 3: it's good to add to my resume.

605
00:34:24,680 --> 00:34:27,240
Speaker 2: Yeah, it's good to add to my resume. Just covers

606
00:34:27,320 --> 00:34:30,799
Speaker 2: so much bullshit. It's I know, they can get you

607
00:34:30,880 --> 00:34:33,000
Speaker 2: to do anything, and nobody knows. There's like no way

608
00:34:33,040 --> 00:34:36,759
Speaker 2: to fact check that. Yeah, so I mean jango. As

609
00:34:36,800 --> 00:34:40,600
Speaker 2: you said earlier, the easiest thing to do would be

610
00:34:40,719 --> 00:34:45,960
Speaker 2: to pay poll workers like the essential workers they are.

611
00:34:46,160 --> 00:34:48,000
Speaker 5: Yeah, you'll you'll have to pay them once a year. Two.

612
00:34:48,080 --> 00:34:51,840
Speaker 5: For the record, this is a yeah.

613
00:34:51,160 --> 00:34:53,799
Speaker 2: Some poll workers make less than ten dollars an hour,

614
00:34:54,440 --> 00:34:58,560
Speaker 2: which seems like it's too low. I'm not illegal, but

615
00:34:58,600 --> 00:35:03,000
Speaker 2: maybe not in right, but yeah, we convert that to pizza.

616
00:35:03,040 --> 00:35:06,120
Speaker 2: And so now we're doing conversions of dollars into pizzas,

617
00:35:06,120 --> 00:35:07,799
Speaker 2: which is good math experience.

618
00:35:08,400 --> 00:35:12,120
Speaker 3: You know, if you spend a fraction of your life

619
00:35:12,239 --> 00:35:15,080
Speaker 3: working at the polls.

620
00:35:14,280 --> 00:35:18,000
Speaker 2: Yeah, how much? Well you have left a number of

621
00:35:18,000 --> 00:35:21,320
Speaker 2: states have enacted new election worker protections, but the federal

622
00:35:21,360 --> 00:35:24,920
Speaker 2: response has just been, I don't know, not great. They

623
00:35:24,920 --> 00:35:29,280
Speaker 2: put together a special Federal Election Threats task Force, which

624
00:35:29,760 --> 00:35:34,000
Speaker 2: has resulted in seventeen total charges. There's been over two

625
00:35:34,040 --> 00:35:37,799
Speaker 2: thousand reports of threats and harassment to election workers and

626
00:35:38,320 --> 00:35:40,480
Speaker 2: since the task force was created in twenty twenty one,

627
00:35:40,800 --> 00:35:43,560
Speaker 2: but only one hundred of those were even investigated because

628
00:35:43,800 --> 00:35:48,520
Speaker 2: like a lot of you know, government enforcement agencies, they

629
00:35:49,040 --> 00:35:53,680
Speaker 2: are drastically understaffed and underfunded. And then they're like, well,

630
00:35:53,719 --> 00:35:56,399
Speaker 2: the government sucks at their job. And I was like, well,

631
00:35:57,120 --> 00:36:01,000
Speaker 2: you put like three people on a thing that requires

632
00:36:01,120 --> 00:36:03,080
Speaker 2: a full company is worth of people.

633
00:36:03,560 --> 00:36:05,880
Speaker 5: It sounds like they need to hire some teenagers for

634
00:36:05,880 --> 00:36:06,600
Speaker 5: the investigation.

635
00:36:06,719 --> 00:36:11,200
Speaker 2: I know, exactly, get some tea teenage PI kid detected.

636
00:36:11,520 --> 00:36:13,840
Speaker 2: I mean if movies have taught me anything.

637
00:36:13,560 --> 00:36:15,320
Speaker 5: Encyclopedia Brown would get to the bottom.

638
00:36:15,360 --> 00:36:20,640
Speaker 2: Thank you exactly. All right anyways, so don't be worried

639
00:36:20,640 --> 00:36:24,160
Speaker 2: about the intangible things that you can't control. Be worried

640
00:36:24,160 --> 00:36:27,720
Speaker 2: about all the tangible things that you can't really can't

641
00:36:27,800 --> 00:36:30,160
Speaker 2: control unless you want to volunteer to be a poll worker,

642
00:36:30,400 --> 00:36:30,680
Speaker 2: you know.

643
00:36:30,680 --> 00:36:32,719
Speaker 5: Yeah, ask your ask your children if they.

644
00:36:32,600 --> 00:36:35,000
Speaker 3: Want to do you know where your kids are getting

645
00:36:35,040 --> 00:36:36,800
Speaker 3: the ship getting out of them at the pole?

646
00:36:38,840 --> 00:36:39,240
Speaker 5: Yes?

647
00:36:39,800 --> 00:36:42,839
Speaker 2: God, what a time man when they used to just

648
00:36:42,880 --> 00:36:47,319
Speaker 2: have an ad at night at like ten o'clock being like, hey,

649
00:36:47,480 --> 00:36:49,840
Speaker 2: you you have kids, do you remember that?

650
00:36:50,600 --> 00:36:50,920
Speaker 5: Dude?

651
00:36:51,840 --> 00:36:57,960
Speaker 2: Wait, all right, let's take a quick break and we'll

652
00:36:58,000 --> 00:37:14,080
Speaker 2: be right back. And we're back, and we got a

653
00:37:14,160 --> 00:37:18,960
Speaker 2: daily Zeitgeist update update on a previous story where we

654
00:37:19,040 --> 00:37:24,520
Speaker 2: talked about how Donald Trump was selling a watch that

655
00:37:25,360 --> 00:37:28,799
Speaker 2: looked like shit, Yeah, I mean it looked like a

656
00:37:28,800 --> 00:37:31,400
Speaker 2: gold watch, like a kind of fancy gold watch, but

657
00:37:31,480 --> 00:37:33,720
Speaker 2: it had his signature somewhere on the face. I think

658
00:37:34,320 --> 00:37:38,520
Speaker 2: he's selling it for one hundred thousand dollars and it

659
00:37:39,080 --> 00:37:42,640
Speaker 2: was made like so people were like, where did he

660
00:37:42,680 --> 00:37:47,759
Speaker 2: suddenly get this watchmaking ability from? And they traced it

661
00:37:48,120 --> 00:37:51,360
Speaker 2: to a company based in Wyoming, and like when you

662
00:37:51,400 --> 00:37:54,839
Speaker 2: Google maps it it just looks like kind of a

663
00:37:54,840 --> 00:37:58,920
Speaker 2: building in the middle of nowhere. CNN actually decided to

664
00:37:59,520 --> 00:38:02,960
Speaker 2: go to this place that's clearly just a bogus address

665
00:38:03,080 --> 00:38:07,480
Speaker 2: used by shell companies, and they were shocked to find

666
00:38:07,520 --> 00:38:14,279
Speaker 2: there was no Swiss watch company. Yeah, and instead what

667
00:38:14,320 --> 00:38:15,680
Speaker 2: they found was all the.

668
00:38:15,680 --> 00:38:24,200
Speaker 4: Kids making the watches.

669
00:38:20,400 --> 00:38:21,200
Speaker 5: The loop right there.

670
00:38:21,440 --> 00:38:25,400
Speaker 2: That's right. Children. Child labor is the future of this country.

671
00:38:25,520 --> 00:38:28,200
Speaker 5: The tight little figures are good for those gears.

672
00:38:27,840 --> 00:38:30,520
Speaker 2: You know, I really like, yeah they can. I mean

673
00:38:30,560 --> 00:38:33,040
Speaker 2: they love building with legos. This is just like one

674
00:38:33,200 --> 00:38:36,760
Speaker 2: step over. You do have to they get a little

675
00:38:37,280 --> 00:38:39,279
Speaker 2: they get a little careless, and so you do have to,

676
00:38:39,840 --> 00:38:44,440
Speaker 2: you know, use some motivation tactics that people don't want

677
00:38:44,480 --> 00:38:44,640
Speaker 2: to know.

678
00:38:44,680 --> 00:38:45,839
Speaker 4: You have to waterboard the kids.

679
00:38:45,880 --> 00:38:50,600
Speaker 2: One, yes, you do with a little juice box. So

680
00:38:50,640 --> 00:38:53,600
Speaker 2: it makes it to the fact that it's a daycare

681
00:38:53,680 --> 00:38:56,120
Speaker 2: is so bleak. It's a it's a daycare that shares

682
00:38:56,160 --> 00:38:58,120
Speaker 2: a parking lot with an H and R block, a

683
00:38:58,200 --> 00:39:02,560
Speaker 2: Wendy's and a vape and hempsmolk shop. So what a

684
00:39:02,600 --> 00:39:08,160
Speaker 2: strip mall get your childcare kill yourself in two easy ways.

685
00:39:08,840 --> 00:39:10,920
Speaker 2: Just need a liquor store to kind of create the

686
00:39:10,960 --> 00:39:11,839
Speaker 2: full trifecta.

687
00:39:12,040 --> 00:39:15,160
Speaker 5: I feel like there might be there might be a

688
00:39:15,480 --> 00:39:17,200
Speaker 5: small watch factory in this building.

689
00:39:19,800 --> 00:39:20,240
Speaker 2: Yeah.

690
00:39:20,280 --> 00:39:23,839
Speaker 3: Maybe it's like Cinderella, where like the animals are doing.

691
00:39:24,040 --> 00:39:27,719
Speaker 5: Yeah, see, we got to use our imagination here. It's

692
00:39:27,760 --> 00:39:28,760
Speaker 5: not as bleak as we thought.

693
00:39:29,040 --> 00:39:32,879
Speaker 2: Yeah, it's cute. It's probably cute in some way. I'm

694
00:39:32,880 --> 00:39:36,920
Speaker 2: sure it's cute. In addition to the quote the Best

695
00:39:36,960 --> 00:39:38,880
Speaker 2: Watches on Earth LLC.

696
00:39:39,880 --> 00:39:42,600
Speaker 4: I like that it's one word. Yes, that's a word,

697
00:39:42,800 --> 00:39:45,160
Speaker 4: The Best Watches on Earth LLC.

698
00:39:45,880 --> 00:39:49,040
Speaker 2: The address was also being used by the company selling

699
00:39:49,080 --> 00:39:53,400
Speaker 2: Trump sneakers and a company selling the Best Honey on Earth,

700
00:39:54,320 --> 00:39:58,640
Speaker 2: all one word, the best on Earth, which sells male

701
00:39:58,840 --> 00:40:00,840
Speaker 2: enhancement honey. What.

702
00:40:01,560 --> 00:40:03,399
Speaker 4: I don't think men need to be enhanced right now.

703
00:40:03,480 --> 00:40:04,600
Speaker 4: I think they need to be.

704
00:40:04,719 --> 00:40:07,440
Speaker 2: De hand Okay.

705
00:40:06,680 --> 00:40:10,319
Speaker 3: Yeah, let's just back it up, you guys are it's

706
00:40:10,320 --> 00:40:11,840
Speaker 3: too much, too much honey.

707
00:40:12,320 --> 00:40:16,160
Speaker 5: Male enhancement honey isn't very fun. That sounds like like

708
00:40:16,760 --> 00:40:18,400
Speaker 5: a term for a sex worker or something.

709
00:40:20,040 --> 00:40:23,560
Speaker 3: Also, if it worked, wouldn't the workers like rise up

710
00:40:23,600 --> 00:40:25,239
Speaker 3: against the queen bee? You know what?

711
00:40:25,280 --> 00:40:29,640
Speaker 2: I mean the male bees working.

712
00:40:29,320 --> 00:40:32,760
Speaker 5: For the bees v ryle worker bees on the market.

713
00:40:33,000 --> 00:40:36,200
Speaker 2: I think it's literally for boomers who are like I

714
00:40:36,239 --> 00:40:38,799
Speaker 2: don't like pills, They're like.

715
00:40:39,120 --> 00:40:40,920
Speaker 5: Easier to take a little thing of honey.

716
00:40:41,400 --> 00:40:46,640
Speaker 3: Yeah, un sweetheart, I gotta dollop the honey into my mouth.

717
00:40:47,040 --> 00:40:50,440
Speaker 2: It's just a normal thing of honey with like viagra

718
00:40:50,560 --> 00:40:53,960
Speaker 2: sprinkled throughout, isn't it.

719
00:40:54,239 --> 00:40:56,440
Speaker 5: Yeah, that sounds great. I think I need to get

720
00:40:56,480 --> 00:40:58,040
Speaker 5: on the get on the horn in.

721
00:40:58,000 --> 00:41:04,279
Speaker 2: My account, does seem like a great business proposition. But

722
00:41:04,400 --> 00:41:08,120
Speaker 2: I mean, given the address and the similar name, we

723
00:41:08,160 --> 00:41:12,160
Speaker 2: don't have proof yet, but it does seem to suggest

724
00:41:12,320 --> 00:41:16,520
Speaker 2: that presidential candidate Donald Trump is selling honey that gives

725
00:41:16,560 --> 00:41:20,920
Speaker 2: people boners. Which this is the October surprise we've been

726
00:41:20,920 --> 00:41:21,520
Speaker 2: waiting for.

727
00:41:21,680 --> 00:41:25,040
Speaker 5: There it is that is this good for Trump or

728
00:41:25,040 --> 00:41:25,720
Speaker 5: bad for Trump?

729
00:41:26,760 --> 00:41:26,960
Speaker 2: Yeah?

730
00:41:27,040 --> 00:41:29,560
Speaker 5: Yeah, people are at this point. I'm so confused, Like.

731
00:41:29,760 --> 00:41:32,200
Speaker 2: I can cure boners?

732
00:41:31,360 --> 00:41:36,560
Speaker 5: Yea man, four more years of this, huh could be

733
00:41:37,520 --> 00:41:38,120
Speaker 5: good stuff.

734
00:41:38,520 --> 00:41:41,840
Speaker 2: They share the same organizer who just so happens to

735
00:41:41,880 --> 00:41:44,000
Speaker 2: spend all his time in Puerto Rico and therefore can't

736
00:41:44,000 --> 00:41:48,480
Speaker 2: comment on any of this. Cannot be reached for comment. Unfortunately.

737
00:41:48,560 --> 00:41:53,080
Speaker 4: But the guy who heads the company, Yeah, our fearless leader.

738
00:41:53,200 --> 00:41:56,640
Speaker 5: The CEO of a Trump Trump boner honey.

739
00:41:56,880 --> 00:41:59,040
Speaker 2: Yeah. I mean the fact that it's called the best

740
00:41:59,080 --> 00:42:03,000
Speaker 2: watches on Earth all one word LLC does suggest that

741
00:42:03,080 --> 00:42:08,080
Speaker 2: it is just Donald Trump in a wig, which we've

742
00:42:08,120 --> 00:42:09,440
Speaker 2: definitely seen in the past.

743
00:42:10,000 --> 00:42:13,080
Speaker 4: His pseudonym was like Baron something right, John Baron.

744
00:42:12,880 --> 00:42:17,040
Speaker 5: Or yeah, yeah Trump roly is a master of disguise.

745
00:42:19,480 --> 00:42:26,000
Speaker 5: I like my lawyer to represent me to Yeah.

746
00:42:24,400 --> 00:42:30,200
Speaker 2: Fake mustache turns around backwards, comes back. Man's doing what

747
00:42:30,280 --> 00:42:31,880
Speaker 2: he thinks is a British accent.

748
00:42:32,440 --> 00:42:34,600
Speaker 5: Oh, I'm seeing that down here. You guys are right.

749
00:42:34,800 --> 00:42:38,600
Speaker 5: The honey does just contain portions of viagrant. It's literally

750
00:42:38,680 --> 00:42:43,279
Speaker 5: a homemade fucking moonshine honey with you grind it in

751
00:42:43,320 --> 00:42:46,000
Speaker 5: a mortar and pestle viagrant sprinkle into into the honey.

752
00:42:46,040 --> 00:42:51,160
Speaker 2: It's like Mom, yeah, yeah, just like Mom used to make. Yeah.

753
00:42:51,320 --> 00:42:53,920
Speaker 2: The FDA has warned people not to consume.

754
00:42:58,560 --> 00:43:01,359
Speaker 5: I know, it seems it seems a good idea to

755
00:43:01,440 --> 00:43:04,640
Speaker 5: eat that sold out a watch factory, just.

756
00:43:04,600 --> 00:43:06,560
Speaker 2: As medicine ground up in it.

757
00:43:09,680 --> 00:43:12,200
Speaker 3: Is like, oh, we're not going to approve your device

758
00:43:12,440 --> 00:43:14,040
Speaker 3: or like this thing, but they're like.

759
00:43:14,000 --> 00:43:16,879
Speaker 4: Please, I don't want to listen, Please.

760
00:43:16,560 --> 00:43:19,439
Speaker 3: Don't eat the bone or honey, we can't in good

761
00:43:19,480 --> 00:43:27,400
Speaker 3: conscience like nottic that's right, nice, try the FDA.

762
00:43:28,280 --> 00:43:29,880
Speaker 4: Yeah, you guys just love women.

763
00:43:32,560 --> 00:43:37,000
Speaker 2: And finally Tostitos and Doritos have stepped up to the plate.

764
00:43:37,120 --> 00:43:40,120
Speaker 2: We may not be able to count on the political

765
00:43:40,200 --> 00:43:44,200
Speaker 2: process to save us, but we can count on our

766
00:43:44,320 --> 00:43:49,840
Speaker 2: corporations owned by PepsiCo. So there. There was a period

767
00:43:49,920 --> 00:43:54,160
Speaker 2: early in the election when Joe Biden remember him, you

768
00:43:54,440 --> 00:43:58,000
Speaker 2: running for president? And Cookie Monster.

769
00:43:58,440 --> 00:44:01,080
Speaker 4: Remember that as Okay.

770
00:44:00,680 --> 00:44:03,960
Speaker 2: They teamed up to take on shrink flation, and Biden

771
00:44:04,040 --> 00:44:08,359
Speaker 2: specifically singled out potato chip companies. Man, yeah, potato chip

772
00:44:08,400 --> 00:44:11,640
Speaker 2: companies selling less chips than the same same size. Bangs.

773
00:44:11,680 --> 00:44:14,560
Speaker 5: Man, it's like, you know, damn.

774
00:44:14,960 --> 00:44:20,320
Speaker 2: By Joe then wandered off curtain somewhere.

775
00:44:20,840 --> 00:44:22,279
Speaker 4: Maybe he has just been high.

776
00:44:22,880 --> 00:44:26,439
Speaker 5: What is like He's had like a sixty year polo

777
00:44:26,640 --> 00:44:29,799
Speaker 5: career and the capstone on all is like chips are

778
00:44:29,800 --> 00:44:31,759
Speaker 5: too small bye.

779
00:44:32,520 --> 00:44:34,719
Speaker 2: And I'll be seeing myself out.

780
00:44:35,400 --> 00:44:38,839
Speaker 4: But yet the most relatable aspect of his career, I.

781
00:44:38,800 --> 00:44:40,840
Speaker 5: Mean, honestly, this is something that pisses me off, So

782
00:44:40,880 --> 00:44:42,560
Speaker 5: I'm pretty.

783
00:44:42,320 --> 00:44:45,319
Speaker 3: Happy to every I'm glad he's moving away from like

784
00:44:45,440 --> 00:44:47,920
Speaker 3: working with segregationists.

785
00:44:48,440 --> 00:44:51,960
Speaker 2: Yeah right, his big stands before. Why can't we all

786
00:44:52,000 --> 00:44:59,160
Speaker 2: just get along? Man strom? Thurmon was cool, dude, man rock. Anyways,

787
00:44:59,440 --> 00:45:03,280
Speaker 2: there are reports that Pepsi Cooat is adding more chips

788
00:45:03,320 --> 00:45:09,120
Speaker 2: into chip bags, including Tostitos, Doritos, and lays, in order

789
00:45:09,239 --> 00:45:11,200
Speaker 2: to quote fight trink inflation.

790
00:45:13,360 --> 00:45:14,959
Speaker 5: Yes, the hero of the common man.

791
00:45:15,440 --> 00:45:20,560
Speaker 2: Yes exactly. Pepsi co always in touch, They're in touch

792
00:45:20,600 --> 00:45:21,840
Speaker 2: with my needs.

793
00:45:22,120 --> 00:45:25,680
Speaker 3: Yeah, hey, can you guys stop charging us for water?

794
00:45:25,800 --> 00:45:27,600
Speaker 3: Shut up and take the chips?

795
00:45:27,600 --> 00:45:32,239
Speaker 5: Well, baby steps, that's what they do. They give us

796
00:45:32,280 --> 00:45:35,560
Speaker 5: more chips, and they keep charging more for the refreshing beverages.

797
00:45:35,600 --> 00:45:36,720
Speaker 5: We need to wash them down.

798
00:45:36,560 --> 00:45:41,520
Speaker 2: With yeah, exactly. And they also have to be able

799
00:45:41,560 --> 00:45:46,719
Speaker 2: to fund those commercials that are responsible for slowly but

800
00:45:46,880 --> 00:45:51,440
Speaker 2: surely saving our hearts and minds, like the Kylie General one.

801
00:45:51,520 --> 00:45:54,239
Speaker 5: You know, Oh I forget about that.

802
00:45:54,239 --> 00:45:57,680
Speaker 2: That great. They've done their part. They've done their part.

803
00:45:57,760 --> 00:46:01,960
Speaker 4: Kendall Jenner Jack, my god, what how dare?

804
00:46:02,880 --> 00:46:05,719
Speaker 2: What has happened to me? I used to know what

805
00:46:05,800 --> 00:46:09,200
Speaker 2: was going on in this world? But so it turns

806
00:46:09,200 --> 00:46:12,919
Speaker 2: out they are putting more chips into bags, they are

807
00:46:12,960 --> 00:46:16,560
Speaker 2: selling them at the same price. They are also branding

808
00:46:16,560 --> 00:46:19,399
Speaker 2: them as bonus bags with twenty percent.

809
00:46:19,160 --> 00:46:22,719
Speaker 3: More chip boner bags, and we're gonna mix viagra.

810
00:46:22,480 --> 00:46:27,480
Speaker 2: There will they will be Viagra dusted. So they're advertising

811
00:46:27,560 --> 00:46:30,239
Speaker 2: that they're adding back the chips they took away, but

812
00:46:30,400 --> 00:46:34,160
Speaker 2: just calling them bonus chips, which is like stealing someone's

813
00:46:34,200 --> 00:46:37,279
Speaker 2: wallet and then selling them back their ID and credit cards.

814
00:46:37,440 --> 00:46:41,359
Speaker 2: Is like bonus bonus wallet, bonus features, bonus collectibles.

815
00:46:41,960 --> 00:46:43,640
Speaker 5: This might be coming out of left field, but I

816
00:46:43,680 --> 00:46:47,719
Speaker 5: think I would prefer instead of more chips, just one big.

817
00:46:47,520 --> 00:46:51,760
Speaker 2: Chip, I think is okay, No.

818
00:46:51,040 --> 00:46:55,520
Speaker 5: No one big the family can do the fucking cartoon

819
00:46:55,560 --> 00:46:56,920
Speaker 5: corn thing on the size of it.

820
00:46:57,400 --> 00:46:58,600
Speaker 4: This is unpleasant.

821
00:46:58,719 --> 00:47:02,280
Speaker 2: I don't way towards the middle. Everybody gets an.

822
00:47:02,120 --> 00:47:04,680
Speaker 5: People said the same thing about the automobile.

823
00:47:05,560 --> 00:47:07,960
Speaker 4: Now, yeah running out of earth.

824
00:47:08,760 --> 00:47:11,640
Speaker 5: Well yeah, I look on the bright side of life,

825
00:47:11,640 --> 00:47:12,120
Speaker 5: big chip.

826
00:47:12,200 --> 00:47:15,959
Speaker 2: Yeah, cars are sick, and so are big, big old

827
00:47:16,040 --> 00:47:16,800
Speaker 2: giant chips.

828
00:47:17,040 --> 00:47:20,040
Speaker 5: Thick chips too, half an inch with them?

829
00:47:20,200 --> 00:47:22,759
Speaker 4: How a big big chip? Like how thick? And do

830
00:47:22,800 --> 00:47:23,920
Speaker 4: you want this chip to be?

831
00:47:24,840 --> 00:47:28,800
Speaker 5: That's thick as the side of my hand. Okay, okay,

832
00:47:28,840 --> 00:47:30,680
Speaker 5: the big as a medium sized kite.

833
00:47:32,200 --> 00:47:33,400
Speaker 4: You want it kite shaped?

834
00:47:33,719 --> 00:47:36,720
Speaker 5: Yeah, now, I want it to be a diamond shaped.

835
00:47:37,640 --> 00:47:40,840
Speaker 5: I'm innovating so fast over here that it's changing the

836
00:47:40,880 --> 00:47:41,839
Speaker 5: parameters on the fly.

837
00:47:42,640 --> 00:47:46,000
Speaker 2: Learn a lesson from the pumpkin peduncle. Just go thick

838
00:47:46,320 --> 00:47:51,040
Speaker 2: and big and it'll be. It'll stay intact. People will

839
00:47:51,080 --> 00:47:56,400
Speaker 2: love it, people will come right they Yeah, they're actually

840
00:47:56,560 --> 00:47:58,840
Speaker 2: kind of doing that at Taco Bell. They just added

841
00:47:59,400 --> 00:48:04,760
Speaker 2: even biger giant cheese its to like one of their products, sore.

842
00:48:07,080 --> 00:48:09,200
Speaker 4: Just they preach about the cheese it.

843
00:48:09,520 --> 00:48:17,319
Speaker 5: Yeah, brother, They're adding other drunk food into their food.

844
00:48:17,360 --> 00:48:19,480
Speaker 5: They're literally like doing what a high person would do

845
00:48:19,480 --> 00:48:21,600
Speaker 5: it at home. They're taking out the middle man, like, yeah,

846
00:48:21,960 --> 00:48:24,160
Speaker 5: trying to do gummy bears taco I'm.

847
00:48:24,000 --> 00:48:26,680
Speaker 3: Sorry, I don't think you understand. The demographic that Taco

848
00:48:26,680 --> 00:48:29,879
Speaker 3: Bell is targeting to is the high person at all.

849
00:48:30,239 --> 00:48:30,560
Speaker 5: I know.

850
00:48:30,760 --> 00:48:33,640
Speaker 4: I guess so that is one hundred percent.

851
00:48:33,880 --> 00:48:36,360
Speaker 3: I used to do this show where you would like

852
00:48:36,440 --> 00:48:38,480
Speaker 3: do a sober set and then you would get high

853
00:48:38,520 --> 00:48:41,400
Speaker 3: and do a high set, and like every time I

854
00:48:41,480 --> 00:48:44,200
Speaker 3: left afterwards, the Taco Bell next to it was.

855
00:48:44,360 --> 00:48:47,040
Speaker 4: There was just a huge line of cars.

856
00:48:47,960 --> 00:48:50,360
Speaker 5: It was wild cleaning out like a cartoon.

857
00:48:50,920 --> 00:48:54,720
Speaker 2: Yeah yeah, no Taco Bell. The big cheese It Crount

858
00:48:54,760 --> 00:48:58,840
Speaker 2: Trap Supreme is back, and I think I think they've

859
00:48:59,680 --> 00:49:01,960
Speaker 2: made the cheese it bigger and they might have added

860
00:49:01,960 --> 00:49:02,840
Speaker 2: a second one.

861
00:49:03,280 --> 00:49:03,759
Speaker 5: I like it.

862
00:49:03,800 --> 00:49:06,600
Speaker 2: They were like, not enough cheese it in this thing

863
00:49:06,719 --> 00:49:08,960
Speaker 2: that is basically wrapped around a giant cheese it.

864
00:49:09,600 --> 00:49:11,919
Speaker 3: Every time I hear about it, talk about item, it's

865
00:49:11,960 --> 00:49:13,120
Speaker 3: always it's back.

866
00:49:13,200 --> 00:49:14,799
Speaker 4: I'm like, when did they have this?

867
00:49:16,160 --> 00:49:19,160
Speaker 2: That's right, bitches, it'squre.

868
00:49:19,520 --> 00:49:23,000
Speaker 5: Whether there's like pending FDA legislation they had to withdraw

869
00:49:23,080 --> 00:49:24,400
Speaker 5: their latest monstrosity.

870
00:49:24,960 --> 00:49:25,440
Speaker 2: Yeah.

871
00:49:25,560 --> 00:49:28,080
Speaker 4: Yeah, the FDA is like, we please don't. We don't

872
00:49:28,080 --> 00:49:29,279
Speaker 4: advise you to eat this.

873
00:49:30,160 --> 00:49:31,600
Speaker 5: Please stop wrapping this in.

874
00:49:31,760 --> 00:49:36,080
Speaker 2: Uh. The front Trap Supreme that is basically just wrapped

875
00:49:36,120 --> 00:49:39,440
Speaker 2: around a giant wax cornicopia is back.

876
00:49:39,640 --> 00:49:41,920
Speaker 5: Holy shit, this is I'm reading the distriction of it

877
00:49:42,000 --> 00:49:44,760
Speaker 5: right now. An a la carte big cheese a cracker

878
00:49:45,280 --> 00:49:49,000
Speaker 5: sixteen times larger than the Star cheese Cracker. They got

879
00:49:49,040 --> 00:49:49,600
Speaker 5: my letter.

880
00:49:49,920 --> 00:49:55,000
Speaker 2: Yeah, they've they've incepted. They went into your dreams.

881
00:49:55,200 --> 00:49:57,239
Speaker 5: This is so so crazy.

882
00:49:57,600 --> 00:50:00,319
Speaker 2: If inception exists in real life. I would hope that's

883
00:50:00,320 --> 00:50:02,839
Speaker 2: what they're using it for. Is just like, Yeah, that's

884
00:50:02,920 --> 00:50:05,560
Speaker 2: amzing through our dreams and like stealing all our best

885
00:50:05,600 --> 00:50:07,919
Speaker 2: ideas for fast food concoctions.

886
00:50:08,360 --> 00:50:10,919
Speaker 5: A man, you can buy spiders of course.

887
00:50:12,600 --> 00:50:17,479
Speaker 2: That's that's what they launched with the giant Jesus thing.

888
00:50:17,520 --> 00:50:20,440
Speaker 4: That one didn't put the teeth that fell out of

889
00:50:20,520 --> 00:50:21,640
Speaker 4: their mouth into.

890
00:50:24,640 --> 00:50:27,359
Speaker 2: That's where they came up with Baja blast is. They

891
00:50:27,400 --> 00:50:29,879
Speaker 2: were like, what a drink that makes all your teeth

892
00:50:29,920 --> 00:50:32,479
Speaker 2: fall out of your mouth the moment after you drink

893
00:50:32,520 --> 00:50:38,000
Speaker 2: it from just like sheer sugar consumption. Anyways, there, it

894
00:50:38,040 --> 00:50:42,400
Speaker 2: has been reported that PepsiCo is actually not doing this

895
00:50:42,520 --> 00:50:45,200
Speaker 2: to fight shrinkflation. They're doing it because they want to

896
00:50:45,239 --> 00:50:47,600
Speaker 2: sell more bags of chips now that it's football season.

897
00:50:48,120 --> 00:50:51,760
Speaker 2: That's there. We can we believe in anything anymore.

898
00:50:53,080 --> 00:50:56,480
Speaker 4: People, Wow, I can't believe that that's a.

899
00:50:58,960 --> 00:51:01,440
Speaker 2: Football season. There's a lot of gatherings.

900
00:51:01,880 --> 00:51:02,880
Speaker 5: There are gatherings.

901
00:51:03,960 --> 00:51:07,360
Speaker 2: We do be gathering, that's true. She's not wrong about that, folks.

902
00:51:07,800 --> 00:51:10,719
Speaker 3: Anyways, And imagine at this gathering, you and all your

903
00:51:10,760 --> 00:51:12,680
Speaker 3: friends but into one giant chip.

904
00:51:13,320 --> 00:51:19,800
Speaker 5: Yeah, with sixty your book.

905
00:51:20,000 --> 00:51:22,440
Speaker 2: Six of your friends just eating towards the middle and

906
00:51:22,440 --> 00:51:24,920
Speaker 2: then you all kiss, just kissed.

907
00:51:24,920 --> 00:51:33,840
Speaker 4: Here that attitude moving to l a. If you're into Polecule, cheez.

908
00:51:33,640 --> 00:51:38,520
Speaker 2: It, Pocule cheez It based Polecule, Uh well, Django, such

909
00:51:38,520 --> 00:51:41,600
Speaker 2: a pleasure having you on the podcast. Where can people

910
00:51:41,920 --> 00:51:44,280
Speaker 2: find you? Follow you all that good stuff?

911
00:51:45,040 --> 00:51:47,120
Speaker 5: You can find me on all the socials. My handle

912
00:51:47,200 --> 00:51:51,760
Speaker 5: is Django Industries one word and uh yeah, that's pretty

913
00:51:51,800 --> 00:51:56,400
Speaker 5: much it. There you go, Django Industries. And yeah, if

914
00:51:56,440 --> 00:51:57,920
Speaker 5: you see me walking down the street, say.

915
00:51:57,800 --> 00:52:00,840
Speaker 2: Hello, there you go. And is there a work of

916
00:52:01,040 --> 00:52:02,560
Speaker 2: media that you've been enjoying?

917
00:52:02,760 --> 00:52:03,080
Speaker 5: Yeah?

918
00:52:03,840 --> 00:52:04,000
Speaker 2: I was.

919
00:52:04,080 --> 00:52:07,000
Speaker 5: I was glad I saw that prompting emails that it

920
00:52:07,040 --> 00:52:09,400
Speaker 5: forced me to look back through my Twitter bookmarks and

921
00:52:09,440 --> 00:52:12,880
Speaker 5: I remembered, have you guys seen the video of the

922
00:52:12,920 --> 00:52:17,480
Speaker 5: South Korean musician Siage but before he goes on stage,

923
00:52:17,640 --> 00:52:18,600
Speaker 5: you know I'm talking about.

924
00:52:18,440 --> 00:52:20,279
Speaker 2: Where he gets like shot up through the bottom of

925
00:52:20,320 --> 00:52:20,760
Speaker 2: the stage.

926
00:52:20,880 --> 00:52:24,799
Speaker 5: Yeah, yeahs I revisited that that for all time will

927
00:52:24,840 --> 00:52:27,800
Speaker 5: be my favorite piece of media. And just being launched

928
00:52:27,840 --> 00:52:30,200
Speaker 5: in front of forty thousand people in an arena is

929
00:52:30,239 --> 00:52:30,759
Speaker 5: so cool.

930
00:52:31,000 --> 00:52:33,399
Speaker 2: Yeah, And that's how I enter the room every time

931
00:52:33,400 --> 00:52:35,600
Speaker 2: for one of these remote recordings.

932
00:52:35,239 --> 00:52:38,480
Speaker 5: That's that's a picture myself. Yeah, I mean that is

933
00:52:38,520 --> 00:52:39,880
Speaker 5: the energy you need to have in your day to

934
00:52:39,960 --> 00:52:41,879
Speaker 5: day life. We'll be a little more like.

935
00:52:41,920 --> 00:52:48,160
Speaker 2: Sign so fun. Yeah, amazing, great, great pick. That's also

936
00:52:48,200 --> 00:52:49,759
Speaker 2: one of my favorite tweets of all time.

937
00:52:50,000 --> 00:52:54,960
Speaker 5: I'm put in the chat just to exists for Yeah.

938
00:52:54,960 --> 00:53:00,279
Speaker 2: Well we'll we'll link off to that in the short notes. Uh,

939
00:53:00,400 --> 00:53:03,719
Speaker 2: what a pleasure having you as guest co host for

940
00:53:03,800 --> 00:53:06,719
Speaker 2: a couple of days this week. Where can people find you?

941
00:53:06,840 --> 00:53:09,480
Speaker 2: Follow you? And is there a workimedia you've been enjoying.

942
00:53:10,280 --> 00:53:12,840
Speaker 6: I'm at Paula Vinala and p A L l A

943
00:53:12,920 --> 00:53:15,520
Speaker 6: b I g U n A l A and Facial

944
00:53:15,520 --> 00:53:20,359
Speaker 6: recognition comedy. It's tonight, I guess October eighteenth, ten thirty

945
00:53:20,360 --> 00:53:26,600
Speaker 6: pm the comedy for I saw a tweet that friend

946
00:53:26,719 --> 00:53:30,000
Speaker 6: posted at Klugan's k l o O g a n

947
00:53:30,200 --> 00:53:32,360
Speaker 6: s says, I have an area in my backyard I

948
00:53:32,400 --> 00:53:34,200
Speaker 6: call the big stew. It's a pit I dug where

949
00:53:34,200 --> 00:53:37,080
Speaker 6: I dump old batteries, gas, household chemicals, doctor pepper.

950
00:53:37,320 --> 00:53:38,439
Speaker 4: I stir it once a month.

951
00:53:38,840 --> 00:53:41,359
Speaker 3: And then someone quote you to that with Charlie from

952
00:53:41,360 --> 00:53:43,360
Speaker 3: Always sunny like with the sea trouble pretending.

953
00:53:44,560 --> 00:53:48,200
Speaker 5: Yeah, the big stew beautiful.

954
00:53:48,640 --> 00:53:51,520
Speaker 2: That's great. I hope that's true. I hope they really

955
00:53:51,520 --> 00:53:54,920
Speaker 2: do have just a little place for toxic sludge, for

956
00:53:55,040 --> 00:53:57,040
Speaker 2: like brewing toxic sludge.

957
00:53:57,200 --> 00:53:59,560
Speaker 3: I have a zip block bag of electronics that I'm

958
00:53:59,560 --> 00:54:01,279
Speaker 3: always like, I got to dispose of this in a

959
00:54:01,320 --> 00:54:04,080
Speaker 3: responsible way. So I just have a growing pile of

960
00:54:04,400 --> 00:54:06,000
Speaker 3: bad electronics to.

961
00:54:06,160 --> 00:54:09,520
Speaker 2: Steer into the curve and dump some diet pepsi in there.

962
00:54:12,200 --> 00:54:13,080
Speaker 4: Blasted back.

963
00:54:13,200 --> 00:54:14,000
Speaker 2: Yeah, exactly.

964
00:54:15,680 --> 00:54:17,520
Speaker 5: They'll dissolve all those old cell phones.

965
00:54:18,200 --> 00:54:20,040
Speaker 2: Yeah, all right.

966
00:54:20,320 --> 00:54:20,440
Speaker 3: Uh.

967
00:54:21,040 --> 00:54:23,920
Speaker 2: You can find me on Twitter at Jack Underscore O'Brien.

968
00:54:24,040 --> 00:54:27,680
Speaker 2: A tweet I've been enjoying from Josh Gondleman, friend of

969
00:54:27,680 --> 00:54:32,200
Speaker 2: the show, Josh you tweeted billion dollar idea Santana Rob

970
00:54:32,239 --> 00:54:36,160
Speaker 2: Thomas remixes of smooth but about other kinds of weather.

971
00:54:37,840 --> 00:54:40,440
Speaker 2: Just instead of it being a hot one, you'd get like,

972
00:54:40,840 --> 00:54:50,720
Speaker 2: you know, it's a cold one money and the radiators

973
00:54:50,760 --> 00:54:58,719
Speaker 2: are radiator Yeah, I mean the songs. I would listen

974
00:54:58,800 --> 00:55:01,000
Speaker 2: to all of them, you know, be because I need

975
00:55:01,000 --> 00:55:03,560
Speaker 2: to play that song before leaving and popping through the

976
00:55:03,600 --> 00:55:06,120
Speaker 2: floor side style. That's the song that gets me going,

977
00:55:06,160 --> 00:55:08,480
Speaker 2: but sometimes it just doesn't feel right.

978
00:55:09,480 --> 00:55:11,520
Speaker 4: Yeah, Okay, can I say something.

979
00:55:11,640 --> 00:55:14,600
Speaker 3: I had a huge crush on Rob Thomas from match

980
00:55:14,600 --> 00:55:16,400
Speaker 3: Buck to Twenty when I was growing up, But I

981
00:55:16,480 --> 00:55:20,960
Speaker 3: also I also didn't realize he was different than the

982
00:55:21,040 --> 00:55:22,560
Speaker 3: director Rob Thomas.

983
00:55:22,600 --> 00:55:25,319
Speaker 4: So I was like, that's this guy? Is that if

984
00:55:25,360 --> 00:55:34,560
Speaker 4: you know Veronica mars and Smooth, what's it? I was like, incredible.

985
00:55:35,480 --> 00:55:37,840
Speaker 2: Yeah, I've definitely blended people. I can't think of the example,

986
00:55:37,840 --> 00:55:40,560
Speaker 2: but I've like blended people, not even people with the

987
00:55:40,600 --> 00:55:41,160
Speaker 2: same name.

988
00:55:41,360 --> 00:55:44,640
Speaker 3: Sometimes people did that with Michael Jordan, like they thought

989
00:55:44,640 --> 00:55:47,280
Speaker 3: he was the guy who was invested in private prisons,

990
00:55:47,280 --> 00:55:49,520
Speaker 3: but that's like a white guy from like Oregon, and

991
00:55:49,560 --> 00:55:53,000
Speaker 3: so they were like, well, Michael Jordan's actually bad, right,

992
00:55:53,120 --> 00:55:53,600
Speaker 3: but he's not.

993
00:55:54,239 --> 00:55:56,320
Speaker 5: Well, I was a kid of Michael Michael Jordan, Michael

994
00:55:56,400 --> 00:55:59,520
Speaker 5: Jackson sometimes blurred together, which is a crazy life if

995
00:55:59,520 --> 00:56:00,000
Speaker 5: you think about it.

996
00:56:02,280 --> 00:56:03,799
Speaker 2: I want to run. That guy was on.

997
00:56:04,800 --> 00:56:08,080
Speaker 3: I feel like that makes Prince from Dave Chappelle's stories

998
00:56:08,120 --> 00:56:12,280
Speaker 3: because Prince football, right, So I feel like, not heresy

999
00:56:12,360 --> 00:56:14,839
Speaker 3: against the Prince Purists, but you know what I mean.

1000
00:56:15,200 --> 00:56:17,439
Speaker 4: Al talent basketball ballin.

1001
00:56:18,800 --> 00:56:20,560
Speaker 2: All right, You can find me on Twitter at Jack

1002
00:56:20,640 --> 00:56:22,560
Speaker 2: Underscore O Brian. You can find us on Twitter at

1003
00:56:22,640 --> 00:56:25,640
Speaker 2: daily Zeitgeist. We're at the Daily Zeitgeist on Instagram, we

1004
00:56:25,719 --> 00:56:28,799
Speaker 2: have a Facebook fanpage on a website daily Zeitgeist dot com.

1005
00:56:28,920 --> 00:56:32,160
Speaker 2: Or post our episodes and our footnotes where we link

1006
00:56:32,160 --> 00:56:35,000
Speaker 2: off to the information that we talked about in today's episode,

1007
00:56:35,360 --> 00:56:38,480
Speaker 2: as well as a song that we think you might enjoy.

1008
00:56:39,080 --> 00:56:42,239
Speaker 2: A super producer Justin Connor, is there a song that

1009
00:56:42,320 --> 00:56:43,920
Speaker 2: you think people might enjoy?

1010
00:56:44,560 --> 00:56:48,520
Speaker 7: Yeah, it's Friday, so I wanted to recommend a banger

1011
00:56:48,600 --> 00:56:51,239
Speaker 7: of a track for you all to start your weekends right.

1012
00:56:51,760 --> 00:56:55,600
Speaker 7: This is a collective of bilingual artists out of Australia

1013
00:56:55,800 --> 00:56:59,279
Speaker 7: and they switch rapidly between English and Korean over some

1014
00:57:00,000 --> 00:57:03,799
Speaker 7: amazing beats. It's some really fantastic production going on. This

1015
00:57:03,840 --> 00:57:06,520
Speaker 7: is a group called one three hundred. It's spelled out

1016
00:57:06,520 --> 00:57:09,160
Speaker 7: as the number thirteen hundred and this is a track

1017
00:57:09,239 --> 00:57:11,759
Speaker 7: called No Caller ID and you can find that song

1018
00:57:11,800 --> 00:57:13,320
Speaker 7: in the footnotes.

1019
00:57:13,760 --> 00:57:16,240
Speaker 2: All right. The Daily zeit geis is the production of iHeartRadio.

1020
00:57:16,280 --> 00:57:18,440
Speaker 2: For more podcasts from My Heart Radio, visit Yeah Heart

1021
00:57:18,480 --> 00:57:20,360
Speaker 2: Radio app, Apple podcast or wherever you listen to your

1022
00:57:20,360 --> 00:57:23,480
Speaker 2: favorite shows. That's gonna do it for us this week.

1023
00:57:23,880 --> 00:57:26,480
Speaker 2: We are back on Monday to tell you what was

1024
00:57:26,520 --> 00:57:30,640
Speaker 2: trending over the weekend. We'll have a weekly Zeitgeist with

1025
00:57:30,720 --> 00:57:33,040
Speaker 2: highlights from this week's episodes that you can check out

1026
00:57:33,040 --> 00:57:35,520
Speaker 2: over the weekend, and we'll talk to you all then.

1027
00:57:35,880 --> 00:57:37,120
Speaker 2: Bye Biche.