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Speaker 1: How you doing man, congratulations, thank oh, thank you.

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Speaker 2: Yeah, you said it would never happen for me. I

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Speaker 2: said you said never.

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Speaker 1: And I still don't really believe it, you know, I'm

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Speaker 1: still I sent Miles to make sure it wasn't bullshit man,

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Speaker 1: because I honestly I was.

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Speaker 3: Mom. I was like, I don't know, I don't know,

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Speaker 3: I don't know if it happened.

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Speaker 1: That's awesome, man, congrats.

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Speaker 2: Thank you. It's uh, it's lots of fun.

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Speaker 1: Yeah, marriage, marriage stuff, eh.

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Speaker 2: I know this stuff, that's great.

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Speaker 4: I like genuinely have been bonking my ring on everything

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Speaker 4: that I could bonk it on, and it's such a blasting.

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Speaker 3: Like intentionally, like you're just coming up to like what

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Speaker 3: about this?

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Speaker 1: Just like running into walls?

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Speaker 2: What everything sounds?

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Speaker 3: That's solid?

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Speaker 5: Yeah, Hello the Internet and welcome. Season three sixty two,

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Speaker 5: Episode five.

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Speaker 1: Of Daly's Guys Day.

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Speaker 3: Production of iHeartRadio.

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Speaker 1: We are America's only undecided podcasts, still trying to figure

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Speaker 1: it out.

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Speaker 2: This election's tricky.

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Speaker 1: It's tricky, man, just as garbage man. You did garbage man,

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Speaker 1: and that's I find that in Dear. This is a

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Speaker 1: podcast where we take a deep dive into America's shared consciousness.

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Speaker 1: And it is Friday, November one, twenty four.

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Speaker 6: Yeah.

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Speaker 1: Today we've all been waiting for waiting, All Saints, the

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Speaker 1: all Hallows Eve behind us. It's all Hallows.

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Speaker 3: It's Hallows Day. And it also is Baby National Fountain

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Speaker 3: Pen Day, Autistic Speaking Day, National Biologic Coordinator's Day, National

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Speaker 3: Cinnamon Day, National Toothbrush Day, National Jersey Friday as in

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Speaker 3: Sporting Jersey, but also shout out to the garden State

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Speaker 3: of New Jersey, National Foal Zone Day, National Deep Pride

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Speaker 3: Clams Day, National Cook for Your Pets Day, National Family

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Speaker 3: Literacy Day, Nation Do Thursday, the National Vinegar.

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Speaker 1: Day, shout out oil also, but ay do Our guest

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Speaker 1: today author Jersey. Yep, he's always wearing a basketball jersey.

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Speaker 3: Shirt under New Jersey. That's Jersey. Yeah. Yeah.

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Speaker 1: Anyways, my name's Jack O'Brien aka watching Old Bruce with

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Speaker 1: list Sammy Jack by his side. They both die Hard

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Speaker 1: with a Vengeance Jeremy Irons. That is courtesy of halcyon

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Speaker 1: Salad on the Discord in reference to one of the

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Speaker 1: two movies that we talked about in this podcast. For

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Speaker 1: some reason, I guess the reason is those are the

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Speaker 1: only two movies we've seen Rocky four, Diehard three Classics.

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Speaker 3: Yep.

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Speaker 1: Anyway, shout out Halcion Salad. I'm thrilled to be joined

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Speaker 1: as always by my co hosts.

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Speaker 2: It's mister Miles Gress.

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Speaker 3: I love Miles great do do do do do do?

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Speaker 3: We love them all right, shout out to the Los

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Speaker 3: Angeles Dodgers who were victorious over the New York Yankees.

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Speaker 3: And I must say, as a Native Angelico, I love

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Speaker 3: being just this is the best time that we've anytime

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Speaker 3: La wins something, it's fantastic. Now, obviously, the police came

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Speaker 3: out in full force pretty much immediately in anticipation of

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Speaker 3: the revelry, and things went well.

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Speaker 1: They have to celebrate too, like people up and arresting people.

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Speaker 3: It's like, hey, you like to shoot boom booms, we

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Speaker 3: do too, and well but they're not lethal ish. But anyway,

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Speaker 3: what a game coming back from five zero down that

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Speaker 3: fifth that was at the fifth inning, that was just

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Speaker 3: absolutely just turned the game upside down. Was fantastic to watch.

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Speaker 1: I'm so happy he brought it alund for a landing.

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Speaker 1: At first, you sounded like somebody who was like, when

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Speaker 1: La wins the game, it is the most fantastic, Yes,

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Speaker 1: it is. It is fantastic.

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Speaker 3: Winning baseball game much celebrates.

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Speaker 1: A culinary hint kiss. Anyways, Miles, we are thrilled to

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Speaker 1: be joined in our third seat by one of the

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Speaker 1: funniest and smartest writers and people I've had the pleasure

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Speaker 1: of working with. He's a best selling author and Emmy

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Speaker 1: winning writer. The last week Tonight with John Oliver six,

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Speaker 1: I co hosts the podcast Quick Question with Sworn and Daniel.

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Speaker 3: Please welcome. It's Daniel O'Brien.

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Speaker 2: Hello.

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Speaker 4: What an introduction I was was I was really prepared

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Speaker 4: to come in here with with a planned bit of

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Speaker 4: being consistently over the length of your Aka's a problem

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Speaker 4: I've had with this podcast since the beginning. But then

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Speaker 4: you said so many sweet things about me that I've

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Speaker 4: I've completely abandoned that planned bit. Oh and now i'm

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Speaker 4: I'm I'm armed with no bits.

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Speaker 3: Oh.

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Speaker 1: Hey, well, welcome a great to have you bitless and

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Speaker 1: that's just we we can get in there. This is

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Speaker 1: gonna be like the Mark Maren podcast where you know,

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Speaker 1: drop that that stance, Dan the comedic you know, let's

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Speaker 1: get in there. Let's get into the the juicy insides. Yeah,

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Speaker 1: what makes you tick?

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Speaker 3: Man?

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Speaker 1: And Also my ak was like really quick today and

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Speaker 1: perfectly concise, So.

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Speaker 3: Yeah, you could have done it for first Banger, but.

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Speaker 1: Yeah, I cut so much. It was actually supposed to

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Speaker 1: be an Oasis medley about all the die Hard films.

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Speaker 3: Yeah, oh boy.

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Speaker 1: Yeah, well we had had a wonder wall about die

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Speaker 1: Hard four Diehard, Yeah, lift free Diehard of course.

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Speaker 3: How are you doing?

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Speaker 1: What's new with you?

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Speaker 3: Daniel?

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Speaker 4: I'm doing very well. I mean, I don't know why

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Speaker 4: I'm saying I'm doing very well. It's I work at

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Speaker 4: a political comedy show, as you mentioned, and we're just

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Speaker 4: a few days away from an election. So fun, even

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Speaker 4: though that's not a surprise like we had this whole year.

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Speaker 4: I mean, an argument could be made that we've had

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Speaker 4: several years to plan for this election. We are still

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Speaker 4: running around headless chickens over here. We're still trying to

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Speaker 4: not that there's anything we can do to impact how

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Speaker 4: anyone's going to vote, or how this election is going

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Speaker 4: to go, or not that there's any way we can

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Speaker 4: add further context to it. We just all share the

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Speaker 4: same level of anxiety that everyone else has. Where we

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Speaker 4: record on Saturday for an episode that's going to air

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Speaker 4: on Sunday, and then we are prepping a show that

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Speaker 4: is going to record the week of the election, so

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Speaker 4: a few days after it, and trying to prepare for

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Speaker 4: what we can talk about when we truly have no

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Speaker 4: information right now.

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Speaker 1: Real sliding Doors moment. Yeah, yeah, yeah, that's a historical text,

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Speaker 1: the Gwyneth Paltrow film Sliding Doors. But Daniel, we are

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Speaker 1: going to be recording an episode on election day when

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Speaker 1: we'll come out the day after. We had an hour

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Speaker 1: long meeting yesterday being like what the fuck, Like, how

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Speaker 1: do you do that?

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Speaker 3: I think we just record two kinds of episodes and

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Speaker 3: we just you know, choose your own adventure and when

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Speaker 3: it times when it's time to publish.

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Speaker 1: No, we're just gonna do some bullshit. I think just

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Speaker 1: an election we should try that, Just like do do

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Speaker 1: something about funny video clips?

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Speaker 3: Can you bring cheat time back? I would maybe, I

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Speaker 3: would love that so much, just like something, Look, we

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Speaker 3: don't know what's going on. Well, let's enjoy this this

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Speaker 3: time where we don't know.

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Speaker 4: We have one TV in the office that we all

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Speaker 4: huddle around. That TV broke, so we don't know what

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Speaker 4: happened in the.

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Speaker 2: News this week.

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Speaker 4: So I'm just gonna sort of has anyone seen Saturday Night?

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Speaker 4: We want to talk about that. That's the thing we're

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Speaker 4: going to talk about.

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Speaker 1: There, you go, all right, well, we are going to

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

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Speaker 1: we're going to tell the listeners a couple of the

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Speaker 1: things we're talking about. We are going to talk about

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Speaker 1: the election. And this has just been sprung on me,

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Speaker 1: but yeah, apparently there's election news. There's some questions around turnout,

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Speaker 1: whether whether the boy is gonna turn out for Donald Trump.

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Speaker 1: The boys not turning out so far in the early vote,

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Speaker 1: and people are scared. Some people are asking whether it

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Speaker 1: has anything to do with Trump's ground game, which is bad.

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Speaker 1: Like I'm hoping it's as bad as it seems like

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Speaker 1: it would be. So we're gonna talk about that. We're

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Speaker 1: gonna talk about again, We'll do a little look at

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Speaker 1: the stakes because Trump has claimed that he wants to

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Speaker 1: let RFK Junior go wild on medicines, which if he's elected,

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Speaker 1: that's a direct literal. We'll talk about that. We might

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Speaker 1: talk about what Trump will do if he loses. We

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Speaker 1: will definitely talk about It's November first, it's the day

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Speaker 1: after Halloween. This is the season of the Dentist Halloween

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Speaker 1: candy buyback program, and that surprisingly is going to be

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Speaker 1: the darkest story of the day because holy shit, our

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Speaker 1: writer JM McNab dug into this and it's fucked It's like,

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Speaker 1: so we be surprised at this point that, like you

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Speaker 1: dig it, dig into any American institution and there's a

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Speaker 1: coin flip of a chance that it's going to be

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Speaker 1: super fucked up this one is. So we'll talk about

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Speaker 1: that plenty more, But first, Daniel O'Brien, we do like

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

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Speaker 1: Jack O'Brien networth and what do we what are we

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Speaker 1: coming back with?

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Speaker 4: See here's Here's what's an unfortunate bummer about this is

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Speaker 4: that I thought it would be lots of fun to

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Speaker 4: be to have that be my recent Google search because

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Speaker 4: that used to be a really fun thing to do.

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Speaker 4: Like Celebrity net Worth is exactly what it sounds like.

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Speaker 4: It collects net worth of celebrities using who knows what methods.

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Speaker 4: In the past, they no one's been able to really

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Speaker 4: divine exactly how they come across their numbers. But it

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Speaker 4: was like I, as a public personality from Cracked and

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Speaker 4: writing books and now last Week Tonight I was searchable

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Speaker 4: on that site and there was some either AI or

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Speaker 4: freelance writer who had just sort of decided what my

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Speaker 4: net worth was. And it was a fun game to

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Speaker 4: play to see what some random writer somewhere comes up with,

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Speaker 4: because it was always like danielb brien has been writing

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Speaker 4: comedy since two thousand and seven. It is estimated that

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Speaker 4: his net worth is ninety three million dollars, and it

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Speaker 4: was always way off based on nothing, and I thought

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Speaker 4: this would be a fun way to kick off the

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Speaker 4: episode to see what AI or some child writer thinks

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Speaker 4: Jack O'Brien's net worth is. But celebrity networth has changed

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Speaker 4: drastically over the years. It's not the free for all

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Speaker 4: that it used to be. Used to be able to

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Speaker 4: find almost anyone of dubious notoriety there, and now they've

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Speaker 4: really cleaned it up. And I did some digging and

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Speaker 4: it is this is like you're seeing an episode of

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Speaker 4: Last Week Tonight, get workshopped in real time in a nutshell,

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Speaker 4: start with a fun thing and then uncover a sad

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Speaker 4: dark thing. And the sad dark thing is that like

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Speaker 4: Google as Google has decided to crush every website on

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Speaker 4: the Internet that is not Google. This is like a

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Speaker 4: big tech anti trust thing. People used to search solary

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Speaker 4: net worths and get directed to CelebrityNetWorth dot com and

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Speaker 4: spend time on that site. Google had started taking the

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Speaker 4: information from that website and putting it right on the

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Speaker 4: Google search results. Yeah, got so you wouldn't go to

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Speaker 4: celebrity net worth anymore. At one point in twenty fourteen,

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Speaker 4: Google asked the founder of Celebrity Networth, Hey, can I

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Speaker 4: do this? Can we start like scrubbing your website and

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Speaker 4: putting it in search results so people get the information

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Speaker 4: they want and never have to leave Google. Isn't that

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Speaker 4: great news for the user? And the owner of Celebrity

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Speaker 4: Networth was like, yeah, that's great news for the user,

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Speaker 4: but it's like fuck news for me. I need people

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Speaker 4: so bad to go to my website so I can

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Speaker 4: get money from ads from you Google.

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Speaker 2: I need to sell my.

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Speaker 1: Ads already You're already taking such a massive cut. They're like, yeah,

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Speaker 1: but if it was all our money.

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Speaker 2: What if it Yeah exactly.

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Speaker 1: We're having this meeting here in Google and we're like.

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Speaker 4: What if what if it was who can we get

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Speaker 4: rid of and so the guy said, no, you can't

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Speaker 4: scrub my website, and then Google did it anyway, and

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Speaker 4: between like twenty fourteen and now it looks like traffic

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Speaker 4: to celebrity or net worth has gone down eighty percent.

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Speaker 4: And I think, as a longtime fan of CelebrityNetWorth dot com,

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Speaker 4: you can really see that the quality has has suffered

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Speaker 4: because of this huge loss thanks to Google.

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Speaker 3: Yeah, I mean, just so, did you get any kind

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Speaker 3: of answer for the number question? No? I did ask

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Speaker 3: Chad GPT just now, Oh, just to see how what

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Speaker 3: a I did. Jack o'brancost, the Daily's form of creative

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Speaker 3: director at housto Forks, has an estimated networth of approximately

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Speaker 3: two million dollars. His wealth is called extensive work in

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Speaker 3: digital media. Daniel O'Brian, known for his work as a

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Speaker 3: writer and comedian with Crack and as a writer for

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Speaker 3: Last Week Tonight with John Oliver, has an estimated net

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Speaker 3: worth of around three hundred and fifteen thousand dollars.

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Speaker 1: I'm on, Daniel, and I got seventy five million for myself.

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Speaker 1: Seventy that I'm a famous Okay, it's it's the theater director.

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Speaker 2: There's the other one.

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Speaker 3: Yeah, yeah, yeah, the other one. But I don't know.

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Speaker 1: I like, hopefully people don't do research too good or

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Speaker 1: it confuses the AI and they think all more seventy

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Speaker 1: five million dollars that would be pretty cool.

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Speaker 3: Yeah. Wow, three hundred and fifteen k is just so

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Speaker 3: oddly specific. Yeah, you know, so I got from Walmine,

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Speaker 3: I've got the estimated net worth of Oh that's Daniel

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Speaker 3: F O'Brien, and then it says mister Brian owns. Yeah,

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Speaker 3: this is the it says on the Jack O'Brien net

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Speaker 3: worth page. It says Jack O'Brien is a member of director.

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Speaker 1: So I don't know how good. It feels like maybe

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Speaker 1: the internet is broken.

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Speaker 3: No no, no, no, no no no, no accurate anyway is it? Yeah?

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Speaker 3: I have searched mind it said who that's actually what

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Speaker 3: chat GPT said, And I'm kind of fucking pit that's honestly,

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Speaker 3: That's why I think it's bullshit, Like, what is it?

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Speaker 1: Jack O'Brien is not doing too well? You should reach

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Speaker 1: out to him and see how he's doing network. What

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Speaker 1: is something you think is underrated?

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Speaker 3: Daniel?

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Speaker 4: This is gonna sound very basic, but seasons and I'm

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Speaker 4: sure that's come up on the podcast before it's coming up.

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Speaker 7: For me.

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Speaker 4: I live in New Jersey on the Jersey Shore. It

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Speaker 4: is as we record Halloween, it's very spooky. October thirty first,

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Speaker 4: it is eight fucking degrees outside right now.

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Speaker 3: Wow.

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Speaker 4: And there's a lot of like global warming hand ringing

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Speaker 4: to be done about that because this is just like

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Speaker 4: like fundamentally not the way that temperatures are supposed to

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Speaker 4: go this time of year. And sure, I agree with

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Speaker 4: all those reasons it's bad that we're killing the world,

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Speaker 4: but also very specifically to me.

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Speaker 2: Seasons are important.

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Speaker 4: We have already taken the fall decorations and clothing out

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Speaker 4: of storage and are ready to move the summer decorations

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Speaker 4: into storage, but we can't right now because the weather

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Speaker 4: is being so ridiculous and it's just turned my entire

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Speaker 4: closet topsy turvy, and I don't know what to do

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Speaker 4: with myself.

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Speaker 3: I think of the closets, yeah, think.

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Speaker 1: Of the closets, the fossil fuel industry.

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Speaker 3: Yeah, please please. I love Yeah, I love seasons just

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Speaker 3: because growing up in LA we only have like two seasons,

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Speaker 3: like hot and not as hot, right, So I like,

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Speaker 3: I like wearing sleeves. I like hoods, jackets, pants and

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Speaker 3: the like. But yeah, yeah, seasons.

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Speaker 2: I do too.

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Speaker 4: And on a day like today, it's hard not to

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Speaker 4: think back to my childhood trick or treating in New

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Speaker 4: Jersey and how grateful you were for the temperature to

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Speaker 4: drop a bit so you're not walking around in like

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Speaker 4: full WCW sting makeup in eighty degrees, a bag of

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Speaker 4: a pillowcase of melting chocolate on your shoulder.

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Speaker 2: It was just the a nightmare.

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Speaker 1: I will say, it's a little chilly. It was a

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Speaker 1: little chilly here this morning, so it's not global warming.

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Speaker 3: I don't know what you're talking about.

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Speaker 1: Okay, yeah, so we're good there. What's something you think

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Speaker 1: is overrated?

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Speaker 4: Something that I think is overrated is the I'm so

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Speaker 4: sorry for being so Halloween focused. The sophistication and growth

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Speaker 4: of the consumer grade Halloween decoration market. I'm over I

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Speaker 4: think there there was a time when the house in

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Speaker 4: the neighborhood that went all out for Halloween decorations was special.

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Speaker 4: There was something meaningful to that. You could tell it

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Speaker 4: was someone who spent a lot of time. This isn't

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Speaker 4: like I'm not saying that only wealthy people should be

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Speaker 4: allowed to decorate for Halloween but afford. But it was

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Speaker 4: like you, we would we would do like handmade homemade decorations.

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Speaker 4: It was a big, like Halloween tradition for us to

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Speaker 4: make tombstones out of like styrofoam and pay them and

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Speaker 4: then come up with funny things to write on the tombstones.

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Speaker 4: And that would be like a family activity and a

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Speaker 4: cool like point of pride, this decorations that we did.

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Speaker 4: And now I feel like the market for Halloween decorations

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Speaker 4: has exploded. It's so much cheaper and so much easier

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Speaker 4: to get really terrifying and cool looking decorations that everyone

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Speaker 4: has them everywhere, and I don't care for.

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Speaker 3: It, oh like as it like nothing special anymore, because

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Speaker 3: nothing special any so widely available. I get, yes, just.

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Speaker 1: Twelve foot skeletons as far as the eyes can I

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Speaker 1: can see.

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Speaker 3: Oh yeah, there's there's a spot in my neighborhood someone

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Speaker 3: had three twelve foot like different figures just cramped in

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Speaker 3: their yard. And it felt like, oh.

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Speaker 1: Yeah, I've been noticing a lot of Halloween decoration cramping

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Speaker 1: as well, like especially with the inflatables, like the salatable

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Speaker 1: just inflatables everywhere yeah, Yeah, I don't know. I guess

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Speaker 1: those things are a little bigger once you get them

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Speaker 1: out of the box, the inflatables, because they are yeah,

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Speaker 1: shoulder to shoulder in some of these front yards. My

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Speaker 1: twelfth of Witches in my front yard right now, we

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Speaker 1: are recording this on Halloween, uh, in my front yard,

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Speaker 1: just reading people for filth. I turned the turned the

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Speaker 1: volume back up on her because I had turned her

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Speaker 1: down because one of my friends like three year old children,

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Speaker 1: got really scared of her. Oh like, he sent me

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Speaker 1: a video of his son crying from So I turned

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Speaker 1: the volume down on her, turned it back up for Halloween.

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Speaker 1: And the writing is just so fucking bad on the

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Speaker 1: things she says, like she has a little sensor when

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Speaker 1: she walked. When you walk by, she'll like say something,

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Speaker 1: but it's like this long, meandering It's like how am

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Speaker 1: I flying? You ask, well, that's a good question, and

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Speaker 1: that you're like wanting to walk away from her.

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Speaker 3: Party You're like put it up a chair.

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Speaker 7: I used to date orson wells, okay, okay, should we

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Speaker 7: take a break and come back and talk about the election,

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Speaker 7: because I.

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Speaker 1: Mean it's coming up and it's a fun one.

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Speaker 3: It's a real coin flip?

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Speaker 1: What what drama?

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Speaker 3: What excitement? We'll be right back.

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Speaker 2: And we're back.

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Speaker 1: Yes, And I apologize if it sounded like I was

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Speaker 1: inside your ear. I have trouble with mike discipline. But

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Speaker 1: to be fair, we've only been doing the show for

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Speaker 1: seven years.

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Speaker 3: Let's talk about the news. Yeah, yeah, there's a few

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Speaker 3: stats from the early vote that has clearly caught the

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Speaker 3: attention of the MAGA crowd. A political analysis of early

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Speaker 3: vote data and battleground states said there's a two or

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Speaker 3: ten point gender gap in early voting, with women comprising

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Speaker 3: fifty five percent of those who had cast ballots nationwide.

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Speaker 3: Early voting data showed that on Thursday, just today, as

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Speaker 3: we record of roughly fifty eight million mail in and

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Speaker 3: early in person votes cast across the country, fifty four

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Speaker 3: percent came from women. So this is for the MAGA crowd.

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Speaker 3: They're like, oh no, like have they been hearing what

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Speaker 3: Donald Trump says? Could this be a bad thing?

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Speaker 2: Now?

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Speaker 3: This is probably good news for the Harris campaign, although

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Speaker 3: it's entirely possible that a significant portion of that early

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Speaker 3: vote is also for Trump, considering the campaign's recent emphasis

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Speaker 3: on early voting. So like the last presidential election, less

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Speaker 3: than a quarter of mail in ballots came from Republicans.

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Speaker 3: In this cycle it's up to a third. But again,

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Speaker 3: it's all about it's all about whatever you have to

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Speaker 3: say to get people out. But the way they're communicating

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Speaker 3: it is sort of like the Mike Cernovich's and Charlie

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Speaker 3: Kirk's of the world are like, where my bros at man.

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Speaker 3: We need you guys if we're gonna get Trump over

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Speaker 3: the line. If these ladies get out, we're crushed. Cernavi said, quote,

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Speaker 3: male turnout in Pennsylvania for Trump has been a disaster.

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Speaker 3: Unless this changes, Kamala Harris takes Pennsylvania and it's over.

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Speaker 3: Charlie Kirk early vote has been disproportionately female. If men's

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Speaker 3: stay at home, Kamala is president. It's that simple pull

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Speaker 3: pull pull. So I think the other thing that they're

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Speaker 3: really reacting to, I don't know, have you guys seen

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Speaker 3: that Kamala Harris ad that's like narrated by Julia Roberts,

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Speaker 3: where like a woman goes to the polls with like

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Speaker 3: the clearly like a maga coated couple, and when the

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Speaker 3: woman goes to the voting booth, she's like I'm gonna

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Speaker 3: actually vote for Kamala and Tim Walls. And then when

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Speaker 3: she goes back to her husband, he's like, did you vote, honey,

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Speaker 3: for the make the Right choice? And she's like, yes,

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Speaker 3: I did, and she like winks at another woman at

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Speaker 3: the polling place and then turns.

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Speaker 1: Back to the camera and she has to thrill her eyes.

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Speaker 3: So, yeah, this has been like this is this is caused.

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Speaker 3: I'll just play a clip of Charlie Kirk just he

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Speaker 3: was on Magan Kelly's show, just talking about how this

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Speaker 3: ad is like undermining the modern mayor. I don't know. Look,

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Speaker 3: just this listens to this.

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Speaker 6: It is the embodiment of the downfall of the American family.

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Speaker 6: I think it's so gross. I think it's so just nauseating.

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Speaker 6: Where this wife is wearing the you'll show it, wearing

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Speaker 6: the American hat. She's coming in with her sweet husband

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Speaker 6: who probably works his tail off make sure that she

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Speaker 6: can go, you know, and have a nice life and

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Speaker 6: provide to the family. And then she lies to him saying, oh, yea,

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Speaker 6: I'm gonna vote for Trump, and then she votes for

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Speaker 6: Kamala Harris as her little secret in the voting booth.

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Speaker 6: Kamala Harris and her team believe that there will be

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Speaker 6: millions of women that undermine their husbands and do so

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Speaker 6: in a way that it's not detectable in the polling,

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Speaker 6: and she needs people to basically.

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Speaker 3: Looka that was out of the clip. Yeah, undermine their husbands. Again,

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Speaker 3: I am voting for who.

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Speaker 1: You want to vote for and not sharing that information.

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Speaker 1: If your husband is really awful and like demands that

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Speaker 1: you vote for the same person as.

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Speaker 3: Him, yeah, yeah, yeah, yeah, a healthy marriage.

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Speaker 4: I was trying to find the exact link for this,

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Speaker 4: But did you guys see Jesse Waters talking about this also?

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00:23:21,720 --> 00:23:24,320
Speaker 3: Oh yeah, you want to hear that. I'd love to great,

439
00:23:24,400 --> 00:23:26,680
Speaker 3: you know, hey, maybe if there's one thing I'm good for,

440
00:23:26,760 --> 00:23:29,760
Speaker 3: it's having the outrage links loaded up. This is Jesse

441
00:23:29,880 --> 00:23:33,639
Speaker 3: Waters being like, this is an executable offense.

442
00:23:34,320 --> 00:23:37,320
Speaker 1: And if I found out Emma was going into the

443
00:23:37,400 --> 00:23:38,800
Speaker 1: voting booth and.

444
00:23:38,600 --> 00:23:41,440
Speaker 3: Pulling the lever for Harris, that's the same thing as

445
00:23:41,480 --> 00:23:42,280
Speaker 3: having an affair.

446
00:23:43,119 --> 00:23:46,240
Speaker 4: That's me, He's like laughing, he's doing that.

447
00:23:47,040 --> 00:23:53,720
Speaker 2: Yeah, the sanctity of our marriage? Yes, what else is

448
00:23:53,760 --> 00:23:54,840
Speaker 2: she keeping from me?

449
00:23:54,960 --> 00:23:58,520
Speaker 1: Exactly? What else does she lying about?

450
00:23:59,560 --> 00:23:59,879
Speaker 8: Threatened?

451
00:24:00,320 --> 00:24:01,399
Speaker 2: Why would she lie to you.

452
00:24:01,600 --> 00:24:04,719
Speaker 3: I like how Janine Piro somehow kind of like on

453
00:24:04,760 --> 00:24:07,840
Speaker 3: the side of reasons, She's like, well would why would

454
00:24:07,880 --> 00:24:12,160
Speaker 3: this happen? What's happening in your relationship? Are you a monster?

455
00:24:14,160 --> 00:24:16,639
Speaker 4: Even attempting to engage with a bit in good faith,

456
00:24:16,720 --> 00:24:19,360
Speaker 4: just trying to yes and it leading to a complete

457
00:24:19,400 --> 00:24:19,840
Speaker 4: dead end.

458
00:24:20,240 --> 00:24:26,800
Speaker 3: Yeah, completely completely, So I mean, yeah, I think this

459
00:24:26,960 --> 00:24:31,080
Speaker 3: is just sort of all part of everyone's maybe motivational

460
00:24:31,400 --> 00:24:33,400
Speaker 3: the toolkit that they're using.

461
00:24:33,240 --> 00:24:35,439
Speaker 1: For turnout, Like that's kind of how I'm reading it.

462
00:24:35,520 --> 00:24:40,600
Speaker 1: Is just the the Twolways decisions that people make when voting.

463
00:24:41,000 --> 00:24:43,520
Speaker 1: The first is weather to vote at all, and that's

464
00:24:43,600 --> 00:24:46,960
Speaker 1: like a huge factor as to who's going to win.

465
00:24:47,119 --> 00:24:50,439
Speaker 1: So this feels like a good story for them to

466
00:24:50,480 --> 00:24:54,600
Speaker 1: be publicizing as it's now possible for.

467
00:24:54,760 --> 00:24:55,720
Speaker 3: Everybody to vote.

468
00:24:55,760 --> 00:25:00,679
Speaker 1: Basically, I voted yesterday and I will you know Andrew T,

469
00:25:01,320 --> 00:25:02,920
Speaker 1: friend of the show, Andrew T, was on the show

470
00:25:02,920 --> 00:25:06,919
Speaker 1: and talking about how one reason to vote early is

471
00:25:07,040 --> 00:25:10,399
Speaker 1: once you vote, they stopped texting you. I've received a

472
00:25:10,720 --> 00:25:12,760
Speaker 1: text since I voted and it was like, hey, did

473
00:25:12,800 --> 00:25:13,520
Speaker 1: you just vote?

474
00:25:14,040 --> 00:25:14,960
Speaker 3: And that's it.

475
00:25:15,040 --> 00:25:17,479
Speaker 1: So I fhighly recommend.

476
00:25:17,160 --> 00:25:20,119
Speaker 4: I voted every single day this week. I'm gonna do

477
00:25:20,160 --> 00:25:20,960
Speaker 4: it again tomorrow.

478
00:25:21,600 --> 00:25:23,320
Speaker 3: It's fun.

479
00:25:23,359 --> 00:25:25,640
Speaker 1: So we're returning the favor to them to give them

480
00:25:25,680 --> 00:25:28,520
Speaker 1: something they can exert and put on their show. Yeah,

481
00:25:28,560 --> 00:25:30,800
Speaker 1: there's always like I mean, because it's the same thing

482
00:25:30,840 --> 00:25:33,280
Speaker 1: if you if you have texts from the Democratic Party

483
00:25:33,440 --> 00:25:34,760
Speaker 1: like about the it's always like.

484
00:25:35,000 --> 00:25:40,320
Speaker 8: We're getting fucked over in Pennsylvania. I need seven hundred

485
00:25:40,520 --> 00:25:43,920
Speaker 8: thousand dollars or Trump is gonna rip our heads off.

486
00:25:44,200 --> 00:25:47,000
Speaker 8: So everyone has their version of you know, shitting the

487
00:25:47,000 --> 00:25:50,399
Speaker 8: bed rhetorically to get people, you know, out to vote.

488
00:25:50,400 --> 00:25:53,399
Speaker 8: But I think that brings us to the other part

489
00:25:53,480 --> 00:25:55,120
Speaker 8: of a.

490
00:25:55,119 --> 00:25:57,720
Speaker 3: Campaign, which is getting out the vote. It's we are

491
00:25:57,720 --> 00:26:01,560
Speaker 3: on the precipice of GTV Weekend, where you know, there's

492
00:26:01,640 --> 00:26:04,120
Speaker 3: a lot of effort to get everybody to the polls.

493
00:26:04,520 --> 00:26:06,439
Speaker 3: And a couple of weeks ago, we talked about a

494
00:26:06,480 --> 00:26:09,879
Speaker 3: story where these people that were hired by Elon's America

495
00:26:09,920 --> 00:26:12,640
Speaker 3: Pack to do door to door canvassing for Trump were

496
00:26:12,680 --> 00:26:15,600
Speaker 3: basically like faking all of their work. They just found

497
00:26:15,640 --> 00:26:17,639
Speaker 3: a way to like spoof the results and make it

498
00:26:17,640 --> 00:26:19,719
Speaker 3: look like they were actually going door to door and

499
00:26:19,840 --> 00:26:21,480
Speaker 3: just be like yeah, and then I got my check

500
00:26:21,880 --> 00:26:24,959
Speaker 3: now was it because they were all secret libs. I

501
00:26:24,960 --> 00:26:25,720
Speaker 3: mean I see.

502
00:26:25,560 --> 00:26:28,480
Speaker 1: Secret libs all around me at all times, exactly.

503
00:26:28,520 --> 00:26:30,880
Speaker 3: You know, I was at a secret lib coffee shop

504
00:26:30,960 --> 00:26:32,840
Speaker 3: and I overheard this. You won't believe it.

505
00:26:33,520 --> 00:26:36,000
Speaker 1: My wife dozes off. I'm just looking at her with

506
00:26:36,119 --> 00:26:41,520
Speaker 1: narrowed eyes, being like, is she a secret licretum for Harris?

507
00:26:43,640 --> 00:26:46,960
Speaker 3: So it turns out that they these people who are

508
00:26:47,119 --> 00:26:49,680
Speaker 3: you know, phoning it in. I might just be reacting

509
00:26:49,720 --> 00:26:52,040
Speaker 3: to the fucked up working conditions because there's a new

510
00:26:52,160 --> 00:26:56,800
Speaker 3: article in Wired magazine. No, yes, Jack, I'm sorry to say.

511
00:26:58,119 --> 00:27:02,760
Speaker 3: I know, I know who's Sometimes now they find other

512
00:27:02,760 --> 00:27:04,960
Speaker 3: people to bring in. This is just from like the

513
00:27:05,040 --> 00:27:08,439
Speaker 3: second paragraph in this article quote in Michigan, canvassers and

514
00:27:08,480 --> 00:27:11,199
Speaker 3: paid door knockers for the former president, contracted by a

515
00:27:11,240 --> 00:27:13,960
Speaker 3: firm associated with America Pack, have been subjected to poor

516
00:27:14,000 --> 00:27:16,879
Speaker 3: working conditions. A number of them have been driven around

517
00:27:16,920 --> 00:27:20,000
Speaker 3: in the back of a seatless U haul van, according

518
00:27:20,000 --> 00:27:23,000
Speaker 3: to video obtained by Wired, and threatened that they're lodging

519
00:27:23,080 --> 00:27:25,480
Speaker 3: at a local motel would it be paid for if

520
00:27:25,480 --> 00:27:28,840
Speaker 3: they didn't meet canvassing quotas. One door knocker alleges that

521
00:27:28,880 --> 00:27:31,040
Speaker 3: they didn't even know they were signing up for anything

522
00:27:31,119 --> 00:27:33,440
Speaker 3: having to do with Musk or Trump, and that was

523
00:27:33,520 --> 00:27:37,080
Speaker 3: until they signed an NDA. So how Yeah, it's the

524
00:27:37,440 --> 00:27:39,439
Speaker 3: picture of these people. It looks it looks like these

525
00:27:39,480 --> 00:27:41,200
Speaker 3: people are being kidnapped, Like when you see a bunch

526
00:27:41,200 --> 00:27:43,320
Speaker 3: of people in the back of a seatless van, like

527
00:27:43,359 --> 00:27:44,000
Speaker 3: heatless man.

528
00:27:44,119 --> 00:27:47,680
Speaker 1: That's like an illegal thing that the police do to

529
00:27:47,800 --> 00:27:49,400
Speaker 1: people as like abuse.

530
00:27:49,840 --> 00:27:53,119
Speaker 3: Yes, sure, sure absolutely, but this is also this is

531
00:27:53,160 --> 00:27:56,679
Speaker 3: how you know the America pack is doing their canvassing. Again,

532
00:27:56,880 --> 00:28:00,720
Speaker 3: any normal campaign with like a functioning field ation, you

533
00:28:00,760 --> 00:28:04,240
Speaker 3: have like a network of field offices, staff and you know,

534
00:28:04,320 --> 00:28:07,680
Speaker 3: battleground states to make sure you get your proper voter turnout.

535
00:28:08,000 --> 00:28:10,000
Speaker 3: But I think a lot of this can be traced

536
00:28:10,080 --> 00:28:13,560
Speaker 3: directly back to Trump installing his daughter in law as

537
00:28:13,600 --> 00:28:17,280
Speaker 3: like a vassal dictator at the RNC, where she basically

538
00:28:17,960 --> 00:28:21,000
Speaker 3: got rid of anyone who may have had any experience

539
00:28:21,040 --> 00:28:23,040
Speaker 3: here in the name of saving money. And because the

540
00:28:23,119 --> 00:28:25,280
Speaker 3: whole thing was yeah, they had to use all the

541
00:28:25,280 --> 00:28:27,359
Speaker 3: funds of the RNC to be like a Trump legal

542
00:28:27,400 --> 00:28:30,960
Speaker 3: slush fund, so you know who knows. So that means

543
00:28:30,960 --> 00:28:33,800
Speaker 3: now all the work of the field work and ground

544
00:28:33,800 --> 00:28:37,800
Speaker 3: game stuff is being done by inexperienced Trump allies like Musk.

545
00:28:38,440 --> 00:28:42,840
Speaker 1: Yeah, I wasn't like too excited about the early voting

546
00:28:42,920 --> 00:28:46,480
Speaker 1: numbers because it's just like we've just seen like early

547
00:28:46,600 --> 00:28:49,640
Speaker 1: trends or like you know, straw poles or you know,

548
00:28:50,120 --> 00:28:53,800
Speaker 1: exit polls tell us very misleading things and elections. But

549
00:28:54,560 --> 00:28:58,800
Speaker 1: the idea that there could be a world where all

550
00:28:58,840 --> 00:29:03,120
Speaker 1: of the stuff that he's been doing that plainly looks

551
00:29:03,200 --> 00:29:08,800
Speaker 1: like just corrupt bad practices could like actually come back

552
00:29:08,840 --> 00:29:12,560
Speaker 1: and have consequences on him does warm my heart? Oh

553
00:29:12,720 --> 00:29:15,720
Speaker 1: does saw my frozen heart a tiny bit?

554
00:29:16,080 --> 00:29:18,080
Speaker 3: Sure, sure would love.

555
00:29:17,920 --> 00:29:20,240
Speaker 1: To see it, even though I'm still undecided.

556
00:29:20,440 --> 00:29:24,720
Speaker 4: I would love to see see consequences for his campaigns specifically,

557
00:29:24,840 --> 00:29:29,960
Speaker 4: or because I as much like secondhand joy as I

558
00:29:30,000 --> 00:29:34,400
Speaker 4: experience from seeing ever report that is like this, Elon

559
00:29:34,520 --> 00:29:38,760
Speaker 4: Musk is running like historically the worst ground game in

560
00:29:38,800 --> 00:29:41,080
Speaker 4: the history of politics. As much as I enjoy that,

561
00:29:41,360 --> 00:29:45,280
Speaker 4: I don't know election wise if that's going to swing anything,

562
00:29:45,320 --> 00:29:47,480
Speaker 4: Like even him doing a bad job is not the

563
00:29:47,560 --> 00:29:50,320
Speaker 4: kind of thing that I think is going to like

564
00:29:50,480 --> 00:29:54,200
Speaker 4: sway undecided voters should they still be out there, like

565
00:29:54,400 --> 00:29:55,680
Speaker 4: no one is waiting to.

566
00:29:55,640 --> 00:29:58,160
Speaker 2: See, like, what's that he drove him around in a

567
00:29:58,320 --> 00:29:58,640
Speaker 2: U haul.

568
00:29:58,920 --> 00:30:02,080
Speaker 4: Well, that's the kind of man Trump hires for his

569
00:30:02,320 --> 00:30:04,880
Speaker 4: ground game, then I can't trust him with that.

570
00:30:04,960 --> 00:30:07,400
Speaker 1: I don't think the story is going to have impact

571
00:30:07,440 --> 00:30:10,480
Speaker 1: on who people vote for. I guess I'm trusting in

572
00:30:10,560 --> 00:30:15,880
Speaker 1: some like magical boots on the ground electioneering thing that

573
00:30:16,080 --> 00:30:21,120
Speaker 1: I've always heard actually matters in politics. And I have

574
00:30:21,200 --> 00:30:23,720
Speaker 1: to assume it does because they put so much fucking

575
00:30:23,800 --> 00:30:25,320
Speaker 1: money and effort into it.

576
00:30:25,680 --> 00:30:26,600
Speaker 3: But I don't know.

577
00:30:27,000 --> 00:30:29,840
Speaker 1: It is of course being reported by the same people

578
00:30:29,840 --> 00:30:33,000
Speaker 1: who are like and that's why the Democratic Party should

579
00:30:33,040 --> 00:30:36,959
Speaker 1: continue moving to the right and triangulating course forever.

580
00:30:37,040 --> 00:30:39,240
Speaker 3: And they figured it out. Yeah, I think. I mean

581
00:30:40,000 --> 00:30:42,800
Speaker 3: the negative is going to be that potentially it does

582
00:30:43,000 --> 00:30:44,880
Speaker 3: like they don't reach the people who are only like

583
00:30:45,000 --> 00:30:47,920
Speaker 3: half asked about MAGA stuff that might they might get

584
00:30:47,920 --> 00:30:50,280
Speaker 3: to the polls. So there is that. But again, I

585
00:30:50,320 --> 00:30:52,120
Speaker 3: don't know if it matters, because I think I think

586
00:30:52,240 --> 00:30:54,440
Speaker 3: plan A for Trump just seems to be to steal

587
00:30:54,440 --> 00:30:57,960
Speaker 3: the fucking election. Yeah, it's not based on the performances

588
00:30:57,960 --> 00:31:00,680
Speaker 3: he's given as a candidate, based on like everything you're

589
00:31:00,720 --> 00:31:03,800
Speaker 3: reading about how it's operating and everything that's happening behind

590
00:31:03,800 --> 00:31:06,840
Speaker 3: the scenes. They seem more invested in a different kind

591
00:31:06,920 --> 00:31:09,840
Speaker 3: of Yeah. I guess we'll call it a non traditional

592
00:31:09,920 --> 00:31:10,480
Speaker 3: type of win.

593
00:31:11,080 --> 00:31:11,600
Speaker 1: Yeah.

594
00:31:11,800 --> 00:31:14,400
Speaker 4: I have another question for you guys, if that's all right. Yes,

595
00:31:14,840 --> 00:31:17,680
Speaker 4: I'm going to describe everything I say says between us.

596
00:31:17,600 --> 00:31:20,000
Speaker 3: Right, yeah, yeah, totally. Yeah.

597
00:31:21,400 --> 00:31:23,800
Speaker 4: I have to let me know if I'm guilty of

598
00:31:23,800 --> 00:31:27,240
Speaker 4: an election crime, because all these stories have me flashing

599
00:31:27,320 --> 00:31:30,959
Speaker 4: back to my sophomore year of college where we were

600
00:31:31,000 --> 00:31:33,680
Speaker 4: looking for money anywhere we could, and then we found

601
00:31:33,680 --> 00:31:37,040
Speaker 4: out that John Corzine, who was running for governor of

602
00:31:37,280 --> 00:31:39,760
Speaker 4: New Jersey as a Democrat at the time, I believe,

603
00:31:40,040 --> 00:31:42,560
Speaker 4: would pay people seventy five dollars a person if they

604
00:31:42,600 --> 00:31:44,960
Speaker 4: would go around and knock on doors. And we were

605
00:31:44,960 --> 00:31:46,920
Speaker 4: picked up in a bus and dropped off a neighborhood

606
00:31:46,960 --> 00:31:50,000
Speaker 4: and went around knocking on doors just telling people to vote.

607
00:31:50,120 --> 00:31:53,160
Speaker 4: We were explicitly told, don't tell people to vote for Corsign,

608
00:31:53,280 --> 00:31:56,120
Speaker 4: just like knock on these doors for a certain amount

609
00:31:56,120 --> 00:31:59,040
Speaker 4: of hours and tell people, hey, have you voted, here's

610
00:31:59,040 --> 00:32:02,400
Speaker 4: your voting place. If you haven't voted. If you have, great,

611
00:32:02,480 --> 00:32:04,200
Speaker 4: have a good day, and then a bus will pick

612
00:32:04,240 --> 00:32:05,160
Speaker 4: you up at the end of the night and you

613
00:32:05,200 --> 00:32:07,120
Speaker 4: will go home and then you will take those seventy

614
00:32:07,120 --> 00:32:11,880
Speaker 4: five dollars and use them to buy weed and sandwiches.

615
00:32:11,920 --> 00:32:14,320
Speaker 4: I think was not like an official directive. But you're

616
00:32:14,320 --> 00:32:17,600
Speaker 4: giving a college sophomore Is that?

617
00:32:18,440 --> 00:32:19,880
Speaker 2: Is that? Is that legal? Is that our?

618
00:32:19,960 --> 00:32:20,160
Speaker 6: Yeah?

619
00:32:20,160 --> 00:32:23,760
Speaker 3: Okay, so that's what probably happened, was like a dark

620
00:32:23,840 --> 00:32:27,640
Speaker 3: money group is the one doing the paying of you guys.

621
00:32:28,040 --> 00:32:30,640
Speaker 3: And the reason you can't advocate because they were probably

622
00:32:30,680 --> 00:32:32,320
Speaker 3: trying to do it on the level way where you

623
00:32:32,360 --> 00:32:35,600
Speaker 3: can't direct something depending on the nonprofit like the way

624
00:32:35,600 --> 00:32:38,480
Speaker 3: it's structured, you can't directly advocate for a candidate. But

625
00:32:38,520 --> 00:32:40,920
Speaker 3: they probably put you in an area where it was

626
00:32:41,000 --> 00:32:43,520
Speaker 3: mostly people that were going to vote for Corsine, so

627
00:32:43,840 --> 00:32:46,200
Speaker 3: it didn't you didn't really have to be persuasive more

628
00:32:46,240 --> 00:32:48,320
Speaker 3: so just to like motivate people and then like, no,

629
00:32:48,520 --> 00:32:52,720
Speaker 3: we're we're non partisan, we're non partisan. We're just reminding people.

630
00:32:52,800 --> 00:32:55,880
Speaker 3: Yeah yeah, yeah, yeah exactly. So no, you're fine, you're fine.

631
00:32:56,000 --> 00:32:59,200
Speaker 1: Did you have a big check that you were that

632
00:32:59,280 --> 00:33:02,880
Speaker 1: you dangled him of people and said, hey, now they

633
00:33:02,880 --> 00:33:03,520
Speaker 1: are be yours.

634
00:33:03,760 --> 00:33:10,560
Speaker 9: They very smartly yes, all right, So the whole Trump's

635
00:33:10,560 --> 00:33:13,880
Speaker 9: stealing the election of it all, we've covered like some

636
00:33:14,040 --> 00:33:18,880
Speaker 9: specific you know, there's been his claims of fraud on

637
00:33:19,040 --> 00:33:19,800
Speaker 9: social media.

638
00:33:20,240 --> 00:33:24,280
Speaker 1: There's been a physical destruction of ballots by at least

639
00:33:24,320 --> 00:33:28,560
Speaker 1: one Republican Trump supporter in the case of a narrow

640
00:33:28,760 --> 00:33:32,960
Speaker 1: Harris victory. I've seen some takes that like, oh, we

641
00:33:33,040 --> 00:33:36,240
Speaker 1: have nothing to worry about because they've made it so

642
00:33:36,520 --> 00:33:39,640
Speaker 1: the electors can't be thrown out this time, like the

643
00:33:39,680 --> 00:33:43,120
Speaker 1: thing that they wanted Mike Pence to do, they can't

644
00:33:43,160 --> 00:33:46,880
Speaker 1: do that. But I don't know, like that was just

645
00:33:47,000 --> 00:33:49,600
Speaker 1: one thing they tried last time when they didn't really

646
00:33:49,640 --> 00:33:51,960
Speaker 1: know what the fuck they were doing, and Trump didn't

647
00:33:52,000 --> 00:33:55,000
Speaker 1: have the support of the entire Republican Party to steal

648
00:33:55,040 --> 00:33:58,880
Speaker 1: the election. This time, he's had four years to plan,

649
00:33:59,120 --> 00:34:03,760
Speaker 1: He's consolidated, empowering Congress and like allegiance and loyalty in

650
00:34:03,840 --> 00:34:05,720
Speaker 1: Congress and with the Supreme Court.

651
00:34:05,840 --> 00:34:07,960
Speaker 3: It seems so like.

652
00:34:07,880 --> 00:34:12,960
Speaker 1: The the one scenario I can't foresee is Trump losing

653
00:34:13,840 --> 00:34:15,840
Speaker 1: a close one, and it seems like it's going to

654
00:34:15,920 --> 00:34:20,000
Speaker 1: be close and admitting defeat like that's the only that's

655
00:34:20,040 --> 00:34:21,759
Speaker 1: the only thing that I think we could just be like,

656
00:34:21,840 --> 00:34:24,799
Speaker 1: that's definitely not Can I put money on that.

657
00:34:26,080 --> 00:34:31,160
Speaker 4: He is never in the history of time conceded defeat

658
00:34:31,239 --> 00:34:33,680
Speaker 4: on an election he has lost, even like the one

659
00:34:33,760 --> 00:34:36,399
Speaker 4: primary he lost to Ted Cruz, he didn't say that

660
00:34:36,520 --> 00:34:37,160
Speaker 4: was fair.

661
00:34:37,280 --> 00:34:41,280
Speaker 2: Yeah and square like that is completely out the window.

662
00:34:41,280 --> 00:34:44,840
Speaker 4: The idea of him, first of all, gracefully doing anything

663
00:34:44,920 --> 00:34:48,759
Speaker 4: and second of all gracefully conceding is just you know,

664
00:34:48,800 --> 00:34:51,560
Speaker 4: you want to say, if there's a landslide, he'll concede,

665
00:34:51,560 --> 00:34:52,840
Speaker 4: But even then I don't.

666
00:34:52,680 --> 00:34:53,759
Speaker 2: Think it would do it.

667
00:34:53,800 --> 00:34:58,440
Speaker 4: I think that the the options are he loses narrowly

668
00:34:58,560 --> 00:35:01,000
Speaker 4: and says it's rigged, he loses big and says it's

669
00:35:01,040 --> 00:35:05,680
Speaker 4: it's rigged. He loses, he wins and says it's rigged,

670
00:35:05,719 --> 00:35:08,840
Speaker 4: but we still move one still want, which is what

671
00:35:08,880 --> 00:35:11,759
Speaker 4: he did in the in the Clinton sixteen. Yeah, they

672
00:35:11,960 --> 00:35:15,320
Speaker 4: never once not said that an election he was involved

673
00:35:15,360 --> 00:35:19,839
Speaker 4: in wasn't rigged. I'm pretty sure like he's never conceded

674
00:35:20,120 --> 00:35:23,799
Speaker 4: defeat in an argument, like in a conversation, like.

675
00:35:23,960 --> 00:35:26,720
Speaker 3: You know, unless he has some kind of like neurological

676
00:35:26,760 --> 00:35:30,400
Speaker 3: event where it's like WHOA did he He's just he

677
00:35:30,480 --> 00:35:33,839
Speaker 3: fucking said I'm tired, guys, I'm tired. Yeah it's over,

678
00:35:34,120 --> 00:35:34,920
Speaker 3: but yeah, I don't know.

679
00:35:34,960 --> 00:35:37,400
Speaker 1: There's a box article talking about like some of the

680
00:35:37,440 --> 00:35:40,040
Speaker 1: official channels they could go through in order to steal

681
00:35:40,040 --> 00:35:43,399
Speaker 1: a close election if Republicans hold the House Speaker Mike

682
00:35:43,440 --> 00:35:46,600
Speaker 1: Johnson could try to interfere with certifying the results. And

683
00:35:46,680 --> 00:35:49,880
Speaker 1: obviously Trump recently made the public statement that he and

684
00:35:49,920 --> 00:35:51,160
Speaker 1: Mike Johnson a.

685
00:35:51,280 --> 00:35:54,399
Speaker 2: Leader secret thing. There's so many secret things.

686
00:35:54,440 --> 00:35:57,719
Speaker 4: There are so many like you, you almost long for

687
00:35:58,440 --> 00:36:02,960
Speaker 4: the simplicity of his attempts to overturn the last election,

688
00:36:03,120 --> 00:36:06,200
Speaker 4: because there was like an A to B straight line

689
00:36:06,200 --> 00:36:08,279
Speaker 4: of like you were my vice president and you worked

690
00:36:08,280 --> 00:36:09,960
Speaker 4: for me, and I'm telling you throw out the votes

691
00:36:10,120 --> 00:36:14,600
Speaker 4: or calling up Secretary of State in Georgia and saying

692
00:36:14,640 --> 00:36:17,319
Speaker 4: find votes for me. That kind of stuff was like

693
00:36:17,520 --> 00:36:22,120
Speaker 4: so clear. And now some of the stuff that has happened,

694
00:36:22,200 --> 00:36:26,719
Speaker 4: and it makes opposing Trump very difficult and frustrating. It

695
00:36:26,760 --> 00:36:30,720
Speaker 4: makes supporting him very funny and fascinating to me. Because

696
00:36:30,920 --> 00:36:32,759
Speaker 4: one of the major changes that we covered on our

697
00:36:32,800 --> 00:36:35,839
Speaker 4: show that's happened in the last four years is that

698
00:36:36,080 --> 00:36:41,759
Speaker 4: the one county of electors, like the Elections Board in

699
00:36:41,800 --> 00:36:47,160
Speaker 4: one county in Georgia has been like majority stocked with

700
00:36:47,960 --> 00:36:50,200
Speaker 4: Trump sick of fans who truly believed the last election

701
00:36:50,320 --> 00:36:54,759
Speaker 4: was stolen, and they are like big cheerleaders for him

702
00:36:54,880 --> 00:36:59,120
Speaker 4: and the steal And it's scary that there's a bunch

703
00:36:59,160 --> 00:37:01,600
Speaker 4: of people who who think the system is rigged, who

704
00:37:01,600 --> 00:37:03,960
Speaker 4: are now in charge of whether or not certain votes

705
00:37:04,360 --> 00:37:07,719
Speaker 4: not necessarily get counted, but like how triggers different o them, Yeah,

706
00:37:07,800 --> 00:37:10,680
Speaker 4: how they get counted. And it's a fascinating thing to

707
00:37:10,840 --> 00:37:13,880
Speaker 4: watch as someone like you guys, and and like myself,

708
00:37:13,880 --> 00:37:16,399
Speaker 4: we have to watch a lot of Trump.

709
00:37:16,120 --> 00:37:17,200
Speaker 2: Videos all the time.

710
00:37:17,640 --> 00:37:21,719
Speaker 4: The difference between like nine years ago Trump where he

711
00:37:21,760 --> 00:37:26,359
Speaker 4: comes out and he's got very simple ringleader message. It's

712
00:37:26,480 --> 00:37:29,000
Speaker 4: it's wrongheaded, but it's compelling, just like there are bad guys,

713
00:37:29,000 --> 00:37:30,919
Speaker 4: they're coming into this country. I'm gonna build a wall

714
00:37:30,960 --> 00:37:31,799
Speaker 4: and it's gonna be free.

715
00:37:32,160 --> 00:37:33,239
Speaker 2: And his fans go.

716
00:37:33,360 --> 00:37:35,600
Speaker 4: Nuts because they love that message. And now you see

717
00:37:35,640 --> 00:37:39,359
Speaker 4: him at rallies when he's campaigning in Georgia and he's like,

718
00:37:39,480 --> 00:37:41,719
Speaker 4: we need to win this election. We've got some great

719
00:37:41,800 --> 00:37:44,160
Speaker 4: new members of this five person Board of Elections in

720
00:37:44,280 --> 00:37:47,480
Speaker 4: Fulton County, Georgia, and they created a beautiful new rule

721
00:37:47,520 --> 00:37:50,880
Speaker 4: that requires a hand count by three different people and

722
00:37:50,920 --> 00:37:54,600
Speaker 4: if they find any discrepancies, why that triggers different rule.

723
00:37:54,680 --> 00:37:58,000
Speaker 4: And like all of his fans, the rallies are like, wait, wait, wait,

724
00:37:58,160 --> 00:38:00,480
Speaker 4: this is I'd like to so much more when it

725
00:38:00,520 --> 00:38:02,279
Speaker 4: was the wall, and now there are all these other

726
00:38:02,719 --> 00:38:04,560
Speaker 4: things that I need to be. I need to be

727
00:38:04,600 --> 00:38:07,320
Speaker 4: such a policy wonk right to be a Trump supporter.

728
00:38:07,440 --> 00:38:10,200
Speaker 1: Now, that was one of the things that underperformed in

729
00:38:10,239 --> 00:38:12,919
Speaker 1: the twenty twenty two election. It remains to be seen

730
00:38:12,960 --> 00:38:17,520
Speaker 1: if it will underperform, like with him actually running the message.

731
00:38:17,560 --> 00:38:20,480
Speaker 1: But like all the candidates who were on the stop

732
00:38:20,560 --> 00:38:23,920
Speaker 1: the Steal shit like people seemed to just be like,

733
00:38:25,000 --> 00:38:27,279
Speaker 1: I don't know, man, Like can we like yeah, it's

734
00:38:27,320 --> 00:38:30,160
Speaker 1: like a lot of technicalities and like bullshit that you

735
00:38:30,200 --> 00:38:32,640
Speaker 1: have to like it's a lot of homework to ask

736
00:38:32,760 --> 00:38:40,000
Speaker 1: people to do. And because it's a dumb bullshit conspiracy theory,

737
00:38:40,120 --> 00:38:42,600
Speaker 1: it's like a bunch of like when you talk to

738
00:38:42,640 --> 00:38:46,719
Speaker 1: a conspiracy theorist, it gets really exhausting quickly because they're like,

739
00:38:46,840 --> 00:38:50,000
Speaker 1: ask you to learn thirty different people's names, you know,

740
00:38:50,280 --> 00:38:55,160
Speaker 1: and like the JFK conspiracy theorists are, you know, and

741
00:38:55,400 --> 00:38:58,160
Speaker 1: that's when you get this CIA agent who was sheep

742
00:38:58,239 --> 00:39:01,319
Speaker 1: dipped to be And I'm just like all right, like

743
00:39:01,400 --> 00:39:04,880
Speaker 1: I can't, I can't do this anymore. So I'm hoping

744
00:39:05,000 --> 00:39:08,200
Speaker 1: that that is again like he's kind of over leveraged

745
00:39:08,239 --> 00:39:10,600
Speaker 1: in his messaging in that direction.

746
00:39:11,120 --> 00:39:12,920
Speaker 3: Well yeah, I mean, I think the one thing that's

747
00:39:12,960 --> 00:39:15,560
Speaker 3: consistent is at the very least setting the expect because

748
00:39:15,560 --> 00:39:19,080
Speaker 3: if it is a blowout, the magaside is prepared to

749
00:39:19,160 --> 00:39:21,760
Speaker 3: think it's not supposed to be a blowout. So like, yeah,

750
00:39:21,760 --> 00:39:24,560
Speaker 3: no matter the outcome they have been, they have been

751
00:39:24,600 --> 00:39:28,839
Speaker 3: like inoculating them against like accepting reality. It's purely the

752
00:39:28,880 --> 00:39:31,839
Speaker 3: expectations are high. That's the one thing I found really

753
00:39:31,840 --> 00:39:33,719
Speaker 3: curious is like you know that like that weird like

754
00:39:33,800 --> 00:39:36,880
Speaker 3: betting market, the polymarket shit that like people can like

755
00:39:36,960 --> 00:39:39,439
Speaker 3: bet on the outcome of the election, and how right

756
00:39:39,440 --> 00:39:42,480
Speaker 3: now a lot of the money is on Trump. Part

757
00:39:42,520 --> 00:39:44,920
Speaker 3: of that also feels like this is like another dimension

758
00:39:44,960 --> 00:39:47,040
Speaker 3: of a potential scam where a lot of people are

759
00:39:47,040 --> 00:39:48,880
Speaker 3: gonna pull a bunch, like they're putting a ton of

760
00:39:48,880 --> 00:39:51,000
Speaker 3: money on Trump to have a lot of people bet

761
00:39:51,000 --> 00:39:53,719
Speaker 3: on Trump, but then bet the opposite and get cause

762
00:39:53,960 --> 00:39:55,920
Speaker 3: you see tweets where people like I'm gonna win four

763
00:39:56,000 --> 00:39:58,400
Speaker 3: hundred dollars when Trump wins the election, like people are

764
00:39:58,400 --> 00:40:00,560
Speaker 3: looking at those odds and like this is great, Like

765
00:40:00,600 --> 00:40:03,319
Speaker 3: I'm gonna make all this money. That there's also like

766
00:40:03,320 --> 00:40:05,600
Speaker 3: a fleecing of people that could also be happening based

767
00:40:05,600 --> 00:40:08,600
Speaker 3: on like this dwed betting markets. There's just a lot

768
00:40:08,719 --> 00:40:13,959
Speaker 3: of weird expectation, I think from every angle. But yeah,

769
00:40:14,080 --> 00:40:17,520
Speaker 3: the I don't Yeah, I do not expect anything to

770
00:40:17,600 --> 00:40:21,160
Speaker 3: be you know, peaceful or not chaotic.

771
00:40:21,239 --> 00:40:24,440
Speaker 1: No, Yeah, I just I don't know. It really is

772
00:40:24,560 --> 00:40:27,919
Speaker 1: just his belligerence is going to be there. I think

773
00:40:27,960 --> 00:40:30,120
Speaker 1: there's going to be I don't know. It seems like

774
00:40:30,200 --> 00:40:34,520
Speaker 1: he's going to be pushing for like violence if he

775
00:40:34,640 --> 00:40:37,279
Speaker 1: if he loses, you know, if he wins, he'll also

776
00:40:37,360 --> 00:40:40,680
Speaker 1: be pushing for violence and I'll have the US military disposable.

777
00:40:40,760 --> 00:40:44,400
Speaker 1: But if he loses, like I just I don't see

778
00:40:44,960 --> 00:40:49,000
Speaker 1: a scenario where like he and Elon Musk go like

779
00:40:49,080 --> 00:40:53,680
Speaker 1: Elon Musk is going to continue to own Twitter, and

780
00:40:54,400 --> 00:40:57,759
Speaker 1: you know it's going to be It just feels like

781
00:40:57,920 --> 00:41:00,719
Speaker 1: I like I'm not gonna say we're walking into a

782
00:41:00,719 --> 00:41:03,120
Speaker 1: disaster because I think a lot of people like recognize

783
00:41:03,160 --> 00:41:06,200
Speaker 1: this what's happening, but there's just like nothing to be

784
00:41:06,320 --> 00:41:10,080
Speaker 1: done about it. There's just like no option that isn't

785
00:41:10,280 --> 00:41:15,040
Speaker 1: a complete fucking nightmare after this election based on you know,

786
00:41:15,239 --> 00:41:20,120
Speaker 1: how who he is and like institutionally, like how he's situated,

787
00:41:20,680 --> 00:41:25,080
Speaker 1: like the one like hopeful note I've seen people is like, well,

788
00:41:25,440 --> 00:41:28,719
Speaker 1: you know when you talk to and like pull individual

789
00:41:28,920 --> 00:41:32,399
Speaker 1: mega supporters, they seem like they're going to be more

790
00:41:32,520 --> 00:41:36,040
Speaker 1: resigned than like willing to take up arms this time around.

791
00:41:36,080 --> 00:41:38,160
Speaker 1: And like maybe a lot of the people who were

792
00:41:38,480 --> 00:41:40,960
Speaker 1: the most extreme are just like are in jail right

793
00:41:41,000 --> 00:41:45,040
Speaker 1: now for January the sixth. But that's I don't know,

794
00:41:45,440 --> 00:41:48,239
Speaker 1: don't I don't like any plan where it's like and

795
00:41:48,280 --> 00:41:51,200
Speaker 1: then we rely on the goodwill of the Trump supporters

796
00:41:51,400 --> 00:41:54,320
Speaker 1: to right, you know, cooler heads to prevail.

797
00:41:54,680 --> 00:41:54,879
Speaker 2: Right.

798
00:41:55,520 --> 00:41:58,720
Speaker 4: Fun fact, January sixth, this guy's birthday.

799
00:41:58,880 --> 00:42:03,320
Speaker 1: They be birth That's right, It's it's a lot of fun.

800
00:42:03,840 --> 00:42:06,600
Speaker 4: It's uh, every year on my birthday now, I get

801
00:42:06,600 --> 00:42:09,040
Speaker 4: phone calls from family members who say happy birthday. And

802
00:42:09,080 --> 00:42:11,640
Speaker 4: then give any phone call enough time. And you got

803
00:42:11,680 --> 00:42:14,560
Speaker 4: a family member who will say, gosh, I still remember

804
00:42:14,600 --> 00:42:16,759
Speaker 4: I was watching the news Gluten like, yeah, all right,

805
00:42:16,880 --> 00:42:18,240
Speaker 4: we've reached that part of my birthday.

806
00:42:18,320 --> 00:42:18,959
Speaker 3: Yep, yep.

807
00:42:19,400 --> 00:42:21,920
Speaker 1: And that's what you do. Stand by your statement that

808
00:42:21,920 --> 00:42:24,360
Speaker 1: that's why you were down in DC that day, was

809
00:42:24,480 --> 00:42:27,600
Speaker 1: celebrating your birthday with your friends, and you just kind

810
00:42:27,640 --> 00:42:28,759
Speaker 1: of got swept along with them.

811
00:42:28,760 --> 00:42:31,640
Speaker 4: On some people go to bars for their birthday. I thought,

812
00:42:31,640 --> 00:42:33,279
Speaker 4: you know, what do I want for my birthday? I

813
00:42:33,320 --> 00:42:35,719
Speaker 4: want to take in some culture. I want to visit

814
00:42:35,760 --> 00:42:40,760
Speaker 4: our nation's capital. And you just have fun, let loose,

815
00:42:41,000 --> 00:42:41,640
Speaker 4: dress up.

816
00:42:42,040 --> 00:42:44,960
Speaker 3: Yeah. And it's just since then you're like you realize, like, oh,

817
00:42:45,360 --> 00:42:48,680
Speaker 3: like January sixth just is the day on our governmental

818
00:42:48,719 --> 00:42:52,480
Speaker 3: calendar for the Yeah, it counts that certification of electrical books.

819
00:42:52,560 --> 00:42:57,319
Speaker 1: Yeah, hey man, happy birthday, Happy early birthday, buddy. Let's

820
00:42:57,360 --> 00:42:59,920
Speaker 1: take a quick break. We'll come back. We'll talk about

821
00:43:00,080 --> 00:43:02,400
Speaker 1: Halloween candy buy back programs.

822
00:43:02,560 --> 00:43:15,920
Speaker 10: We'll be right back, boy, And we're back.

823
00:43:16,080 --> 00:43:16,680
Speaker 3: We're back.

824
00:43:17,000 --> 00:43:21,359
Speaker 1: And it's the day after Halloween. And I mean, as

825
00:43:21,400 --> 00:43:23,399
Speaker 1: you listened to this, as you listen to this, it's

826
00:43:23,440 --> 00:43:26,680
Speaker 1: the day after Halloween, you might here getting ready little candy.

827
00:43:27,320 --> 00:43:30,640
Speaker 1: The spookiness in our voice because it's still Halloween where

828
00:43:30,760 --> 00:43:33,040
Speaker 1: we are, but we're coming to you from the distant

829
00:43:33,080 --> 00:43:37,400
Speaker 1: past twenty four hours ago. Dentists all over the country

830
00:43:37,480 --> 00:43:41,719
Speaker 1: are offering to buy back Halloween candy in their continuing

831
00:43:41,800 --> 00:43:47,360
Speaker 1: effort to be not fun to make kids' lives shitty.

832
00:43:47,760 --> 00:43:51,960
Speaker 1: So beginning on November one, children can forfeit the bags

833
00:43:51,960 --> 00:43:55,240
Speaker 1: of candy they worked so hard for in exchange for cold,

834
00:43:55,280 --> 00:43:58,000
Speaker 1: hard cash, which they're probably just going to use to

835
00:43:58,040 --> 00:44:01,160
Speaker 1: buy candy or it will prepare them for the crypto

836
00:44:01,239 --> 00:44:05,680
Speaker 1: markets of the future. Just a terrible fucking deal. They like,

837
00:44:05,719 --> 00:44:09,600
Speaker 1: they're offering one dollar a pound of candy.

838
00:44:09,800 --> 00:44:13,759
Speaker 3: That that's good. That feels low. That's like a low

839
00:44:13,880 --> 00:44:16,560
Speaker 3: ball effort. Oh yeah, like that's.

840
00:44:16,280 --> 00:44:18,960
Speaker 1: So the in terms of like how much I feel

841
00:44:19,000 --> 00:44:22,440
Speaker 1: like you need an hour to collect a.

842
00:44:22,400 --> 00:44:24,799
Speaker 3: Pound of candy. I mean unless you just steal shit.

843
00:44:25,000 --> 00:44:31,160
Speaker 1: Yeah yeah, yeah, unless you're just knocking knocking, asshole.

844
00:44:31,400 --> 00:44:33,040
Speaker 3: Sorry, I don't care if you have a ring camera.

845
00:44:33,160 --> 00:44:35,840
Speaker 3: I'm pathetic, but yeah.

846
00:44:35,920 --> 00:44:40,320
Speaker 1: So this began in the early two thousands. By twenty fourteen,

847
00:44:40,320 --> 00:44:43,759
Speaker 1: more than two thousand, five hundred dentists and orthodonists had

848
00:44:43,800 --> 00:44:48,279
Speaker 1: signed up to participate. And so about three hundred were

849
00:44:48,280 --> 00:44:51,440
Speaker 1: participating in two thousand and seven, twenty five hundred by

850
00:44:51,520 --> 00:44:54,240
Speaker 1: twenty fourteen, and love the expansion.

851
00:44:54,280 --> 00:44:57,640
Speaker 3: I just there's something just the the title of a

852
00:44:57,719 --> 00:45:01,480
Speaker 3: candy buyback program when we have to, like we associate

853
00:45:01,520 --> 00:45:04,719
Speaker 3: buyback programs with guns, you know what I mean? And

854
00:45:04,719 --> 00:45:07,719
Speaker 3: they're like, no, no, no, the candy buy back program.

855
00:45:07,920 --> 00:45:11,040
Speaker 3: You're like, fuck, man, Like what about about actual issues

856
00:45:11,080 --> 00:45:14,040
Speaker 3: that heard? Like, is that something that somebody could do?

857
00:45:14,239 --> 00:45:16,920
Speaker 1: Like has anybody tried to do like a private gun buyback?

858
00:45:17,120 --> 00:45:19,320
Speaker 1: I guess that would just be like a gun store,

859
00:45:20,320 --> 00:45:23,120
Speaker 1: right right, I guess anybody could. I'll give you a

860
00:45:23,160 --> 00:45:29,600
Speaker 1: dollar a pound per gun. Anyways, you're probably wondering what

861
00:45:29,640 --> 00:45:31,879
Speaker 1: happens to the candy. I actually wasn't. I assume they

862
00:45:31,920 --> 00:45:34,359
Speaker 1: just threw it out, But no, it actually gets sent

863
00:45:34,560 --> 00:45:39,040
Speaker 1: directly to the US military. And so the dentist behind

864
00:45:39,080 --> 00:45:43,120
Speaker 1: this idea, doctor Chris Camer with a K, bragged that

865
00:45:43,480 --> 00:45:46,040
Speaker 1: he didn't want to improve kids dental hygiene so much

866
00:45:46,040 --> 00:45:48,480
Speaker 1: as he wanted to send Halloween treats to our troops

867
00:45:48,520 --> 00:45:50,880
Speaker 1: to let them know we appreciate them and as a

868
00:45:50,920 --> 00:45:54,600
Speaker 1: thank you for serving to keep us safe. This was

869
00:45:54,640 --> 00:45:55,920
Speaker 1: in two thousand and five.

870
00:45:56,400 --> 00:45:58,759
Speaker 4: Just a hall of fame stands for a dentist to take.

871
00:45:58,840 --> 00:46:01,239
Speaker 4: We don't give a shit it out teeth. This is

872
00:46:01,320 --> 00:46:02,280
Speaker 4: about the troops.

873
00:46:02,520 --> 00:46:07,760
Speaker 1: Yeah, about supporting troops, tricking your kids into supporting the troops.

874
00:46:08,080 --> 00:46:10,120
Speaker 1: This was in two thousand and five, so kind of

875
00:46:10,600 --> 00:46:14,719
Speaker 1: height of war on terror, invasion of Iraq and Afghanistan.

876
00:46:15,239 --> 00:46:18,760
Speaker 1: So the modern version of the buyback similarly has Dennis

877
00:46:18,800 --> 00:46:23,360
Speaker 1: working with existing Halloween candy buyback organizations, offering kids as

878
00:46:23,400 --> 00:46:25,600
Speaker 1: little as a dollar a year for their candy and

879
00:46:25,640 --> 00:46:28,120
Speaker 1: selling it to US soldiers or sending it to US

880
00:46:28,120 --> 00:46:31,800
Speaker 1: soldiers instead, and as an old ABC News segment about

881
00:46:31,800 --> 00:46:34,040
Speaker 1: the trend noted, the troops give most of the candy

882
00:46:34,040 --> 00:46:37,600
Speaker 1: away to local children to build relationships. Now, if you

883
00:46:37,719 --> 00:46:40,520
Speaker 1: just turn your brain off right there, just turn it off. Fine,

884
00:46:41,000 --> 00:46:43,480
Speaker 1: that's fine. They're giving the candy away to kids who

885
00:46:43,480 --> 00:46:46,920
Speaker 1: probably don't. End the story candy, it's a happy story.

886
00:46:47,080 --> 00:46:50,560
Speaker 1: Don't go stop thinking, stop reading the story.

887
00:46:50,719 --> 00:46:53,360
Speaker 2: Jack. You can find Jack on Twitter at.

888
00:46:55,239 --> 00:46:59,000
Speaker 1: Uh. So the candy was really being rerouted to the

889
00:46:59,040 --> 00:47:02,880
Speaker 1: Middle East to help an invading army ingratiate themselves to

890
00:47:02,880 --> 00:47:05,640
Speaker 1: the local children. Is another way of saying the thing

891
00:47:05,920 --> 00:47:10,640
Speaker 1: that we just said, and that like it's just what

892
00:47:11,480 --> 00:47:15,040
Speaker 1: the practice of American soldiers distributing candy to kids is

893
00:47:15,400 --> 00:47:21,839
Speaker 1: has like so many tragic implications, like tragic like outcomes

894
00:47:22,920 --> 00:47:26,399
Speaker 1: just any anytime, these local kids are like drawn in

895
00:47:26,520 --> 00:47:33,600
Speaker 1: to be around soldiers who are a being targeted by people,

896
00:47:33,680 --> 00:47:37,360
Speaker 1: and like, so there have been bombings at like places

897
00:47:37,360 --> 00:47:40,000
Speaker 1: where a bunch of children were gathered around to get candy,

898
00:47:40,160 --> 00:47:42,920
Speaker 1: and there have been like in the cases of some

899
00:47:42,960 --> 00:47:46,640
Speaker 1: of the worst atrocities carried out by US troops, they

900
00:47:47,040 --> 00:47:50,520
Speaker 1: used candy to like draw kids in and like, if

901
00:47:50,560 --> 00:47:54,440
Speaker 1: you want to read details that will ruin your fucking month,

902
00:47:54,760 --> 00:47:59,680
Speaker 1: you can go more into a third platoon and striker

903
00:47:59,800 --> 00:48:04,680
Speaker 1: view with a y. But it's it's fucking awful.

904
00:48:04,760 --> 00:48:08,120
Speaker 3: Yeah, it's like because it's again we don't know how

905
00:48:08,160 --> 00:48:10,560
Speaker 3: this candy is used. But when you know that these

906
00:48:10,600 --> 00:48:13,000
Speaker 3: are like the practice of giving candy and this is

907
00:48:13,000 --> 00:48:14,879
Speaker 3: one of the organizations, it'd be like and here's how

908
00:48:14,880 --> 00:48:16,840
Speaker 3: they get their candy. Yeah, it's hard to kind of

909
00:48:16,880 --> 00:48:20,320
Speaker 3: be like, oh god, yeah, there, yeah.

910
00:48:20,160 --> 00:48:25,040
Speaker 1: There's no evidence that the specific candy in the horrific

911
00:48:25,360 --> 00:48:30,080
Speaker 1: atrocities came from kids Halloween trade ins, but it's pretty

912
00:48:30,080 --> 00:48:34,720
Speaker 1: clear we shouldn't normalize occupying forces distributing candy to children.

913
00:48:35,239 --> 00:48:39,000
Speaker 1: The organization that the Halloween candy buyback works with is

914
00:48:39,080 --> 00:48:43,400
Speaker 1: also really shitty. It's called trou Pathon, and that's a

915
00:48:43,400 --> 00:48:47,240
Speaker 1: good name. Again, let's just stop there. Troop Pathon sounds fun.

916
00:48:47,520 --> 00:48:50,360
Speaker 2: Yeah, they be a little bit cute, Yeah, a little.

917
00:48:50,160 --> 00:48:50,640
Speaker 3: Bit of fun.

918
00:48:50,880 --> 00:48:53,480
Speaker 1: Is it a marathon? You know, it's a marathon? They trust,

919
00:48:53,880 --> 00:48:56,760
Speaker 1: Oh okat miles. Supporting the troops is not a sprint.

920
00:48:57,239 --> 00:48:58,680
Speaker 1: It's a true pathon.

921
00:48:58,800 --> 00:49:00,520
Speaker 3: Thank you, thank you, thank you. Yeah.

922
00:49:00,640 --> 00:49:02,399
Speaker 4: It's like a dance marathon where you have to stay

923
00:49:02,440 --> 00:49:04,640
Speaker 4: up for twenty four hours, trooping the entire time.

924
00:49:05,200 --> 00:49:09,840
Speaker 1: Sometimes people die from exhaustion, but it doesn't matter anyways.

925
00:49:09,840 --> 00:49:12,880
Speaker 1: They used to be called Move America Forward, and the

926
00:49:12,960 --> 00:49:17,799
Speaker 1: driving force behind Move America Forward was sal Rousseau, the

927
00:49:17,880 --> 00:49:19,600
Speaker 1: founder of the tea party.

928
00:49:19,280 --> 00:49:22,600
Speaker 3: Express Oh Wow Love Yeah.

929
00:49:22,160 --> 00:49:27,439
Speaker 1: Sou and a twenty fourteen pro public investigation into Move

930
00:49:27,560 --> 00:49:32,320
Speaker 1: America Forward suggested that they mislead donors and provide false

931
00:49:32,400 --> 00:49:36,640
Speaker 1: information about donations, like they claimed that they were sending

932
00:49:36,640 --> 00:49:39,319
Speaker 1: care packages to a marine battalion that was not on

933
00:49:39,440 --> 00:49:43,080
Speaker 1: the continent they claimed they were sending the care packages to.

934
00:49:43,719 --> 00:49:46,880
Speaker 1: They also used images from veterans without their permission, falsely

935
00:49:46,880 --> 00:49:50,000
Speaker 1: claimed to have a partnership with Walter Reed Medical Center

936
00:49:50,120 --> 00:49:55,239
Speaker 1: that they did not scans. So the charity donations, you know,

937
00:49:55,280 --> 00:49:59,160
Speaker 1: the monetary charity donations that they were supposedly sending to

938
00:49:59,160 --> 00:50:03,919
Speaker 1: to the troops for the Troopathon of American Support, we're

939
00:50:03,920 --> 00:50:08,160
Speaker 1: actually being used to subsidize three conservative political action committees,

940
00:50:08,200 --> 00:50:13,240
Speaker 1: according to pro Publica, and the organization denied those allegations,

941
00:50:13,400 --> 00:50:16,600
Speaker 1: were like, we're not changing shit we have. We don't

942
00:50:16,640 --> 00:50:20,840
Speaker 1: have anything to be apologizing for or ashamed of. And

943
00:50:20,880 --> 00:50:24,680
Speaker 1: then they promptly changed their name to True Pathy. Yeah,

944
00:50:24,760 --> 00:50:27,080
Speaker 1: this is so funny, just such a I mean, like

945
00:50:27,200 --> 00:50:29,400
Speaker 1: this this all falls into the right wing grift, Like

946
00:50:29,400 --> 00:50:31,240
Speaker 1: it's like, no, we care about the troops, and we don't.

947
00:50:31,280 --> 00:50:33,399
Speaker 3: We don't, we don't, but we know you might now

948
00:50:33,440 --> 00:50:35,680
Speaker 3: give me your money and I can use it for

949
00:50:35,719 --> 00:50:38,560
Speaker 3: something else. But yeah, there's I mean, it must be.

950
00:50:38,600 --> 00:50:41,040
Speaker 3: It's probably so opaque too for people who donate their

951
00:50:41,040 --> 00:50:43,920
Speaker 3: money to even understand how what the outcome is of

952
00:50:43,920 --> 00:50:46,239
Speaker 3: their donation. So it's probably like the second, like, I

953
00:50:46,280 --> 00:50:49,279
Speaker 3: don't know, it's for the troops and yeah that's enough

954
00:50:49,280 --> 00:50:49,520
Speaker 3: for me.

955
00:50:50,480 --> 00:50:53,520
Speaker 4: I do wonder this is such a silly thought. They'll

956
00:50:53,560 --> 00:50:57,239
Speaker 4: need to spend more time on if including America in

957
00:50:57,320 --> 00:51:02,879
Speaker 4: the the name of what your organization is, if that's

958
00:51:02,920 --> 00:51:06,120
Speaker 4: completely gone the other way at this point in terms

959
00:51:06,320 --> 00:51:09,360
Speaker 4: of convincing people that you're doing the right thing. I

960
00:51:09,400 --> 00:51:10,840
Speaker 4: don't know if this is maga or if this is

961
00:51:10,840 --> 00:51:15,359
Speaker 4: something else, but just hearing the name moving America forward, yeah, like, ah,

962
00:51:15,440 --> 00:51:18,360
Speaker 4: what are you fucking up to?

963
00:51:19,360 --> 00:51:19,719
Speaker 3: A up?

964
00:51:20,160 --> 00:51:20,399
Speaker 1: Yeah?

965
00:51:20,480 --> 00:51:22,799
Speaker 3: Yeah yeah forward where?

966
00:51:22,920 --> 00:51:26,040
Speaker 1: But yeah, it's really has not been great for the brand,

967
00:51:26,239 --> 00:51:28,640
Speaker 1: for the American brand. I'm gonna say it, guys, I

968
00:51:28,640 --> 00:51:30,920
Speaker 1: think Mega has been bad for the brand person.

969
00:51:31,040 --> 00:51:37,680
Speaker 3: Wow, okay, yeah, take Athon. I'm a little weird like that. Yeah,

970
00:51:37,760 --> 00:51:40,279
Speaker 3: I mean it's like I'm again, I think there's just

971
00:51:40,320 --> 00:51:42,960
Speaker 3: something so grim. Even hearing about the idea of a

972
00:51:43,000 --> 00:51:47,279
Speaker 3: candy buyback program, even without all these other details, I'm

973
00:51:47,320 --> 00:51:51,719
Speaker 3: still like, humhmm, this feels odd, it feels strange, and

974
00:51:51,719 --> 00:51:53,160
Speaker 3: I feel like there's so many other ways if it's

975
00:51:53,200 --> 00:51:55,960
Speaker 3: truly about like dental health, a lot better ways to

976
00:51:56,000 --> 00:51:57,879
Speaker 3: do that then to be like yeah, give us your

977
00:51:58,200 --> 00:52:01,560
Speaker 3: your candy for some very low return.

978
00:52:01,680 --> 00:52:03,799
Speaker 4: I really liked the idea of it when I was

979
00:52:03,920 --> 00:52:06,000
Speaker 4: not investigating it whatsoever.

980
00:52:06,320 --> 00:52:07,560
Speaker 2: Like, this was a thing.

981
00:52:07,719 --> 00:52:11,160
Speaker 4: That for the last couple of years as someone who

982
00:52:12,080 --> 00:52:13,960
Speaker 4: in my last place I had, I lived in a

983
00:52:14,000 --> 00:52:15,880
Speaker 4: neighborhood where you got a lot of kids trick or treaters,

984
00:52:16,160 --> 00:52:19,040
Speaker 4: and then I ended up with a lot of candy afterwards.

985
00:52:19,520 --> 00:52:23,359
Speaker 4: It was really great cover for me. Whenever I would

986
00:52:23,400 --> 00:52:25,640
Speaker 4: talk to other adults who had too much candy, I

987
00:52:25,680 --> 00:52:27,720
Speaker 4: would be like, well, you know, there's this great organization

988
00:52:27,719 --> 00:52:29,239
Speaker 4: that lets you buy back candy and it sends the

989
00:52:29,280 --> 00:52:31,200
Speaker 4: candy to the troops. That was a thing that I

990
00:52:31,239 --> 00:52:35,160
Speaker 4: never had to investigate a because it seemed harmless enough.

991
00:52:35,200 --> 00:52:39,239
Speaker 4: It didn't they a lot of the early messaging didn't

992
00:52:39,320 --> 00:52:43,120
Speaker 4: include that the troops were giving it to children specifically.

993
00:52:43,160 --> 00:52:45,240
Speaker 4: It seemed like this was just like, give the troops

994
00:52:45,239 --> 00:52:48,680
Speaker 4: a little bit of candy, huh. And the other reason

995
00:52:48,680 --> 00:52:51,920
Speaker 4: I didn't investigate it was it was mostly cover for

996
00:52:52,160 --> 00:52:55,600
Speaker 4: me that like, if I told you that this organization exists,

997
00:52:55,800 --> 00:52:59,400
Speaker 4: then surely you won't think I'm eating all the candy, right, Yeah.

998
00:52:59,280 --> 00:53:03,200
Speaker 1: Yeah, I end up eating so much of my kids

999
00:53:03,680 --> 00:53:06,279
Speaker 1: Halloween candy. It's it's really I need to come up

1000
00:53:06,280 --> 00:53:07,080
Speaker 1: with a better solution.

1001
00:53:07,239 --> 00:53:09,960
Speaker 3: Well, no, no, you're doing your part to fight American imperialism.

1002
00:53:10,120 --> 00:53:11,239
Speaker 3: That's right, that's how you.

1003
00:53:11,520 --> 00:53:15,759
Speaker 1: But now now I'll feel like a hero exactly, not

1004
00:53:15,760 --> 00:53:17,680
Speaker 1: a COLLI. Hey, I'm not getting my kids mixed up

1005
00:53:17,680 --> 00:53:22,200
Speaker 1: and no war crimes and fraud. Fucking father of the year.

1006
00:53:23,120 --> 00:53:25,640
Speaker 3: You tell your kids you like scare your kids like, well,

1007
00:53:25,719 --> 00:53:27,200
Speaker 3: do you want to go in front of a war tribe?

1008
00:53:27,200 --> 00:53:30,520
Speaker 1: You want to go to the I said, like chocolate cake.

1009
00:53:30,400 --> 00:53:34,200
Speaker 2: For the Hague is fucked up.

1010
00:53:34,239 --> 00:53:34,759
Speaker 3: I'm telling you.

1011
00:53:35,000 --> 00:53:37,560
Speaker 1: I'm telling you, man, why do you want to peanut

1012
00:53:37,600 --> 00:53:40,520
Speaker 1: butter cups? Yeah, I'm gonna the doctor says, I'm gonna

1013
00:53:40,520 --> 00:53:42,719
Speaker 1: smell like peanut butter cups for a couple of months now.

1014
00:53:42,840 --> 00:53:45,160
Speaker 1: But doesn't nothing could be done.

1015
00:53:45,719 --> 00:53:47,919
Speaker 4: Oh my god, I got this great dentist. He doesn't

1016
00:53:47,920 --> 00:53:49,879
Speaker 4: give a ship about teeth, so I'm clear.

1017
00:53:51,760 --> 00:53:52,200
Speaker 3: Just to ask.

1018
00:53:52,760 --> 00:53:57,120
Speaker 1: We just talked about politics. Daniel O'Brien, truly a pleasure

1019
00:53:57,239 --> 00:54:00,839
Speaker 1: having you on the Daily Siegeist, where people find you,

1020
00:54:00,960 --> 00:54:02,640
Speaker 1: follow you all that good stuff.

1021
00:54:03,320 --> 00:54:06,080
Speaker 4: You can find me on Blue Sky. I'm there every

1022
00:54:06,120 --> 00:54:08,600
Speaker 4: once in a while. I mostly left Twitter, but I

1023
00:54:08,640 --> 00:54:13,120
Speaker 4: came back to promote a rare live show appearance. I'm

1024
00:54:13,200 --> 00:54:18,000
Speaker 4: going to be doing some kind of comedy at Late

1025
00:54:18,160 --> 00:54:20,680
Speaker 4: Stage Live, which is a queer and trans focused late

1026
00:54:20,760 --> 00:54:22,480
Speaker 4: night comedy show. It's going to be part of the

1027
00:54:22,640 --> 00:54:26,040
Speaker 4: New York Comedy Festival. That's at the Bellhouse in Brooklyn

1028
00:54:26,120 --> 00:54:30,560
Speaker 4: on November twelfth at boy ten pm. You could find

1029
00:54:31,120 --> 00:54:35,800
Speaker 4: information about it at twenty Now. I was when Ella,

1030
00:54:35,840 --> 00:54:38,439
Speaker 4: who was the host of that show, also a writer

1031
00:54:38,560 --> 00:54:41,360
Speaker 4: for Friend of Ours Cody Johnston and David Bell and

1032
00:54:41,400 --> 00:54:44,799
Speaker 4: Katie Stole's Some More News show. When Ella reached out,

1033
00:54:45,120 --> 00:54:46,400
Speaker 4: it was like, we would love to have you as

1034
00:54:46,400 --> 00:54:49,319
Speaker 4: a guest on our late night show in New York.

1035
00:54:49,400 --> 00:54:53,000
Speaker 4: I was so thrilled at the idea of doing comedy

1036
00:54:53,040 --> 00:54:56,359
Speaker 4: in New York in front of people again. And then

1037
00:54:56,719 --> 00:54:59,600
Speaker 4: when she said ten pm on a Tuesday, I was.

1038
00:54:59,560 --> 00:55:03,640
Speaker 3: Like, Oh, that's right, life like.

1039
00:55:06,320 --> 00:55:07,720
Speaker 2: But I'll be doing that November twelfth.

1040
00:55:07,719 --> 00:55:11,759
Speaker 4: It'll be a week after the election doing late night

1041
00:55:11,840 --> 00:55:15,759
Speaker 4: show that you know, we'll see what everyone's mood is.

1042
00:55:15,800 --> 00:55:18,200
Speaker 4: There's no way to predict what the vibe is going

1043
00:55:18,239 --> 00:55:21,880
Speaker 4: to be, but we'll be there doing doing making as

1044
00:55:22,120 --> 00:55:25,279
Speaker 4: as much fun as we can. Beyond that, you can

1045
00:55:25,520 --> 00:55:27,520
Speaker 4: listen to the show Quick Question with Soren and Daniel.

1046
00:55:28,120 --> 00:55:30,160
Speaker 4: It's a podcast I do with my best friend and

1047
00:55:30,320 --> 00:55:33,799
Speaker 4: former Cracked compadre, Soren Bowie, who is currently a writer

1048
00:55:33,880 --> 00:55:34,800
Speaker 4: for American Dad.

1049
00:55:35,200 --> 00:55:35,920
Speaker 2: We are two.

1050
00:55:35,840 --> 00:55:40,279
Speaker 4: Working comedy writers for television, and we never talk about it.

1051
00:55:40,320 --> 00:55:42,919
Speaker 4: We mostly just it's an hour long phone call where

1052
00:55:42,920 --> 00:55:45,480
Speaker 4: two buddies catch up every week and you get to

1053
00:55:45,480 --> 00:55:45,920
Speaker 4: listen to.

1054
00:55:45,880 --> 00:55:46,600
Speaker 2: It if you want.

1055
00:55:47,080 --> 00:55:49,120
Speaker 3: I think, but what if you guys talked about comedy?

1056
00:55:49,239 --> 00:55:51,000
Speaker 1: Like have you ever thought about that? Like a comedy

1057
00:55:51,040 --> 00:55:53,759
Speaker 1: podcast where people like talk about comedy.

1058
00:55:53,760 --> 00:55:56,520
Speaker 4: Every once in a while. We think, I want to

1059
00:55:56,560 --> 00:55:58,359
Speaker 4: just like sit down and be like, so sorry, who

1060
00:55:58,360 --> 00:56:04,239
Speaker 4: are your guys? Who's coming up for you? We look

1061
00:56:04,280 --> 00:56:05,000
Speaker 4: it at who you like it?

1062
00:56:05,040 --> 00:56:07,399
Speaker 3: Who you like you? I like Mark there.

1063
00:56:08,040 --> 00:56:09,759
Speaker 1: It's so easy to make fun of that show, but

1064
00:56:09,880 --> 00:56:13,520
Speaker 1: he does it well. All right, Daniel, is there a

1065
00:56:13,600 --> 00:56:15,360
Speaker 1: work of media that you've been enjoying?

1066
00:56:16,120 --> 00:56:16,319
Speaker 3: Oh?

1067
00:56:16,440 --> 00:56:20,040
Speaker 4: Yes, Tina Frimmel. It's the last name is spelled f

1068
00:56:20,239 --> 00:56:24,960
Speaker 4: r im L. She is a comedian that the good

1069
00:56:24,960 --> 00:56:29,600
Speaker 4: folks at Instagram's algorithm brought onto my feed. She is

1070
00:56:30,000 --> 00:56:32,960
Speaker 4: a young, up and coming comedian. One of the things

1071
00:56:33,040 --> 00:56:38,120
Speaker 4: that will immediately distinguish her to people who aren't familiar

1072
00:56:38,200 --> 00:56:42,080
Speaker 4: is that she does have cerebral palsy, and her comedy

1073
00:56:42,120 --> 00:56:45,640
Speaker 4: touches on that. But it's also just like, genuinely like.

1074
00:56:46,200 --> 00:56:48,560
Speaker 4: The two parts of her work that I love is

1075
00:56:48,560 --> 00:56:52,160
Speaker 4: that I'm hearing from someone in comedy like a voice

1076
00:56:52,160 --> 00:56:56,239
Speaker 4: and a perspective that I'm just not really getting anywhere else.

1077
00:56:56,480 --> 00:56:59,080
Speaker 4: And two, she is just hilarious. She's one of the

1078
00:56:59,080 --> 00:57:01,080
Speaker 4: funniest people to ever do it. I can't believe how

1079
00:57:01,120 --> 00:57:05,080
Speaker 4: young she is. It's it's very frustrating, and I cannot

1080
00:57:05,120 --> 00:57:08,439
Speaker 4: recommend her enough. I've been working in comedy in some

1081
00:57:08,680 --> 00:57:11,520
Speaker 4: form or another since two thousand and seven, which means

1082
00:57:11,520 --> 00:57:15,600
Speaker 4: I'm old and that I can still be like surprised

1083
00:57:15,640 --> 00:57:18,120
Speaker 4: and excited by a new voice is really really fun.

1084
00:57:18,200 --> 00:57:22,040
Speaker 4: So Tina Primmel check her out. Frml to that in

1085
00:57:22,080 --> 00:57:26,280
Speaker 4: the footnotes. Great, No, great recommendation, got it. Miles Where

1086
00:57:26,280 --> 00:57:26,960
Speaker 4: can people find you?

1087
00:57:27,040 --> 00:57:28,840
Speaker 1: Is there a worchimedia you've been enjoying?

1088
00:57:29,040 --> 00:57:31,960
Speaker 3: Yeah? Yeah, wherever they have at symbols at Miles of

1089
00:57:32,080 --> 00:57:35,240
Speaker 3: Gray basketball talk. That's Miles and Jack I man boost

1090
00:57:35,320 --> 00:57:38,200
Speaker 3: E's ninety day Fiance talk. I do that on four

1091
00:57:38,280 --> 00:57:41,360
Speaker 3: to twenty day fiance. Some tweets I like. First one

1092
00:57:41,480 --> 00:57:45,520
Speaker 3: is from at Bimbo Underscore Hours. Reagan Lee Stallion tweeted,

1093
00:57:45,840 --> 00:57:48,600
Speaker 3: you gotta dabble in just enough recreational drug use in

1094
00:57:48,640 --> 00:57:51,080
Speaker 3: your youth to develop a solid taste in music, but

1095
00:57:51,200 --> 00:57:54,320
Speaker 3: not enough to permanently addle your brain. It's a fine line,

1096
00:57:54,600 --> 00:57:56,560
Speaker 3: and I felt that. I felt that as someone who

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00:57:56,680 --> 00:58:00,640
Speaker 3: prides themselves on their musical taste. And then John Gondleman

1098
00:58:00,800 --> 00:58:04,160
Speaker 3: again if he again he's a Boston guy. He's hate

1099
00:58:04,200 --> 00:58:06,600
Speaker 3: for New York stuff. It comes through in really awesome

1100
00:58:06,600 --> 00:58:09,400
Speaker 3: ways at Josh gond treated his sports not.

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00:58:09,360 --> 00:58:10,000
Speaker 2: New York stuff.

1102
00:58:10,000 --> 00:58:14,120
Speaker 3: I think he lives like Nix or Donkey on New

1103
00:58:14,200 --> 00:58:18,000
Speaker 3: York sports stuff. He comes out like with his last

1104
00:58:18,000 --> 00:58:20,080
Speaker 3: thing referencing the three and oh, the three to zero

1105
00:58:20,120 --> 00:58:22,240
Speaker 3: come back from the Red Sox against the Yankees this time,

1106
00:58:22,320 --> 00:58:24,920
Speaker 3: Josh Gondan tweeted, the Yankee should have a fan that

1107
00:58:25,000 --> 00:58:32,000
Speaker 3: helps put the ball in their players.

1108
00:58:32,040 --> 00:58:35,120
Speaker 1: So good, God bless him, God bless him, and God

1109
00:58:35,120 --> 00:58:38,160
Speaker 1: bless the Yankees. You know, tough, tough to see you

1110
00:58:38,240 --> 00:58:44,320
Speaker 1: hate to see the Yankees lose. Yeah, some tweets I've

1111
00:58:44,320 --> 00:58:48,600
Speaker 1: been enjoying Alice doesn't have bangs at cinema. Milf tweeted

1112
00:58:48,760 --> 00:58:51,400
Speaker 1: Nicole Kidman being in a film called Baby Girl is

1113
00:58:51,440 --> 00:58:54,440
Speaker 1: actually perfect because it's like another version of her last

1114
00:58:54,520 --> 00:58:56,960
Speaker 1: name kid Man Girl.

1115
00:58:59,560 --> 00:59:06,200
Speaker 11: God have it so I never noticed that baby and uh,

1116
00:59:06,640 --> 00:59:10,520
Speaker 11: Frank Bullet tweeted watching the Yankees loses like seeing cops

1117
00:59:10,560 --> 00:59:11,240
Speaker 11: going to jail.

1118
00:59:12,480 --> 00:59:16,520
Speaker 1: Yeah, I kept tweeting, texting this to you, mild I

1119
00:59:16,680 --> 00:59:19,480
Speaker 1: Just like every new person who would come up on

1120
00:59:19,520 --> 00:59:22,240
Speaker 1: the Yankees, I'd be like, god, cop, each one looks

1121
00:59:22,280 --> 00:59:26,760
Speaker 1: more like a fucking cop. It's crazy, culminating with the

1122
00:59:26,760 --> 00:59:31,080
Speaker 1: guy with the mustache and the NYPD turtle.

1123
00:59:30,880 --> 00:59:32,400
Speaker 3: Knack underneath his uniform. Yeah.

1124
00:59:32,440 --> 00:59:36,000
Speaker 1: Well, anyways, you can find me on Twitter at Jack

1125
00:59:36,040 --> 00:59:38,920
Speaker 1: Underscore Brian. You can find us on Twitter at Daily Zeitgeist.

1126
00:59:38,920 --> 00:59:41,600
Speaker 1: We're at the Daily Zeichgeist on Instagram. We have a

1127
00:59:41,600 --> 00:59:44,320
Speaker 1: Facebook fan page on our website Daily Zeikeist dot com,

1128
00:59:44,320 --> 00:59:47,040
Speaker 1: where we post our episode than our footnotes.

1129
00:59:46,840 --> 00:59:48,120
Speaker 2: We link off to the information that we.

1130
00:59:48,080 --> 00:59:50,160
Speaker 1: Talked about in today's episode, as well as a song

1131
00:59:50,200 --> 00:59:52,680
Speaker 1: that we think you might enjoy miles. What song do

1132
00:59:52,720 --> 00:59:53,640
Speaker 1: you think people might enjoy?

1133
00:59:54,000 --> 00:59:56,880
Speaker 3: Just look, it was just something nice and easy as

1134
00:59:56,920 --> 01:00:00,560
Speaker 3: we go into a stressful weekend. Probably this is a

1135
01:00:00,640 --> 01:00:03,280
Speaker 3: track by Unknown Mortal Orchestra. You may have heard it's

1136
01:00:03,280 --> 01:00:07,880
Speaker 3: called Nadia n A DJA, but I love Unknown Mortal

1137
01:00:08,000 --> 01:00:10,480
Speaker 3: Orchestra on narn Mortal.

1138
01:00:10,280 --> 01:00:15,560
Speaker 1: Orchestra is Australian and sometimes it's slips yeah sorry, yeah, yeah, exactly.

1139
01:00:15,200 --> 01:00:16,080
Speaker 2: Losing the accent.

1140
01:00:16,120 --> 01:00:20,320
Speaker 4: But kilometers gray but yeah, yeah, this is a great track.

1141
01:00:20,440 --> 01:00:23,240
Speaker 3: Nadia. Enjoy and just relax, relax and.

1142
01:00:23,280 --> 01:00:25,640
Speaker 1: Don't think I missed that kilometers gray. That was very good.

1143
01:00:25,960 --> 01:00:27,640
Speaker 4: I really had to sit and think for a second.

1144
01:00:27,800 --> 01:00:29,280
Speaker 4: Is that Did they use that?

1145
01:00:29,480 --> 01:00:29,760
Speaker 2: Sister?

1146
01:00:31,120 --> 01:00:34,080
Speaker 1: I feel like if anybody outside of the US would

1147
01:00:34,280 --> 01:00:36,880
Speaker 1: be not using it, it would be Australia.

1148
01:00:36,960 --> 01:00:37,760
Speaker 2: But I do think.

1149
01:00:37,600 --> 01:00:40,720
Speaker 1: They're on the They're on that km shit.

1150
01:00:41,040 --> 01:00:42,800
Speaker 2: All right, phew, all right.

1151
01:00:42,920 --> 01:00:43,160
Speaker 3: Well.

1152
01:00:43,200 --> 01:00:45,280
Speaker 1: The Daily is a production of by Heart Radio. For

1153
01:00:45,360 --> 01:00:47,720
Speaker 1: more podcasts from my heart Radio, visit the iHeartRadio app,

1154
01:00:47,720 --> 01:00:50,640
Speaker 1: Apple podcast, or wherever you listen to your favorite shows.

1155
01:00:50,680 --> 01:00:52,160
Speaker 2: That is going to do it for us this week.

1156
01:00:52,240 --> 01:00:54,520
Speaker 1: We're back on Monday to tell you what was trending

1157
01:00:54,520 --> 01:00:56,600
Speaker 1: over the weekend. We'll also have the Greatest Hits episode

1158
01:00:56,600 --> 01:01:00,760
Speaker 1: over the weekend. We also just dropped the first video

1159
01:01:00,880 --> 01:01:04,400
Speaker 1: episode and then a couple other video episodes of the show.

1160
01:01:04,320 --> 01:01:05,840
Speaker 3: On our YouTube channel.

1161
01:01:06,120 --> 01:01:09,280
Speaker 1: So go on YouTube search Daily's geist. You can see

1162
01:01:09,320 --> 01:01:12,120
Speaker 1: our faces saying words like these.

1163
01:01:12,120 --> 01:01:13,960
Speaker 3: Over there, and we don't want to freak you out.

1164
01:01:14,040 --> 01:01:15,360
Speaker 1: Talk to y'all on Monday.

1165
01:01:15,600 --> 01:01:18,600
Speaker 3: Bye bye,