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Speaker 1: And Joe when I tell you that the money is decee.

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Speaker 2: Uh huh. You know that is for like, that's sure

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Speaker 2: for decent.

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Speaker 1: I'll joke all day long.

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Speaker 2: Uh huh.

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Speaker 1: No, that's a big part of the show.

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Speaker 3: I think, or it was when we started, was like

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Speaker 3: really joking around a lot.

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Speaker 1: But you know, I don't always, but I will. I

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Speaker 1: am happy to there's if it comes up, I will.

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Speaker 3: There are subjects that are uh for Boton to joke

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Speaker 3: around about, and the money is one of them.

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Speaker 2: Okay, we do not fuck.

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Speaker 3: Around with the bullshit when it.

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Speaker 1: I just don't. I don't play. I don't play.

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Speaker 2: You don't play around.

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Speaker 1: I'm too old for games.

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Speaker 2: That's good. I mean for me with money is I

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Speaker 2: I need to just like have my money straight. I

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Speaker 2: need to have that my money's.

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Speaker 1: I got situated. I've no chasing me.

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Speaker 3: I'll take it meat, no ice, no straw. But with

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Speaker 3: the couple a couple of money. Oh yeah, the rocks, Yeah,

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Speaker 3: the rocks in this case are actually autograph photos of

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Speaker 3: the rock.

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Speaker 2: Mm hmm.

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Speaker 3: Talk about money. Yeah, the man's body is pristine.

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Speaker 2: The body built by cod Yeah.

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Speaker 3: He fucking works and works, Yes, sir, Yes, sir, a

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Speaker 3: lot of cod.

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Speaker 2: I have to die for that body, and I'll I

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Speaker 2: have no problem with it. I have no problem with

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Speaker 2: just full cod.

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Speaker 3: Let me tell you what I wasn't doing before the

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Speaker 3: rock destruction, worrying about cod, hanging out with cod a lot.

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Speaker 3: I'm looking at cod.

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Speaker 2: I wish I could say the same was true for me,

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Speaker 2: but I have Okay, well, all right, And it's something

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Speaker 2: that when I first heard about this that made me

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Speaker 2: sort of reevaluate. I know, I like his performances, and

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Speaker 2: I know I like this guy, but I do I

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Speaker 2: like him this much that I'm willing to go of

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Speaker 2: probably one of my top three favorite animals.

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Speaker 3: But the cod.

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Speaker 1: And what was this thing when you say you first

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Speaker 1: heard about this, What was the thing that you heard about.

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Speaker 2: I heard that he eats a lot of cod, eats

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Speaker 2: a lot of cod. He eats a lot of cod

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Speaker 2: as a part of his sort of protein.

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Speaker 3: I said that already. I mean, I got fucking talk.

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Speaker 3: Though you say so many things, that's true, you say

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Speaker 3: so many I mean, God, damn it, Hayes, I already said.

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Speaker 1: That, and so.

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Speaker 3: Around about that.

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Speaker 1: The money being decent is not why we have you

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Speaker 1: here today. Are you already booked, right, already booked you.

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Speaker 3: No, it's convenient in a way because you are the

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Speaker 3: right guy or this type of task, right, and so

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Speaker 3: things just kind of work out for us sometimes this way,

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Speaker 3: you know, we fly by the seat of our pants,

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Speaker 3: and damn if they don't stay up, it just.

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Speaker 1: It's just lucky.

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Speaker 3: And we're sort of both blessed and and having you

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Speaker 3: here today is another blessing because we do need a time.

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Speaker 2: Jesus is a belt.

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Speaker 3: Uh A little bit behind on that.

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Speaker 2: Really, I'm trying to make sure I say things.

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Speaker 3: We talked a little bit before we started about whether.

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Speaker 2: You're some of them are going to be late, and

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Speaker 2: but I just am not gonna let a whole one

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Speaker 2: go by where whipsite didn't say nothing. So when you

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Speaker 2: said you're flying by the seat of your pants, but

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Speaker 2: sometimes they still stay up, And I didn't know what

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Speaker 2: I meant. Jesus is the belt.

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Speaker 3: So here I am looking at you, like what you

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Speaker 3: said didn't make sense. I didn't know what I'm at.

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Speaker 2: It didn't make sense. No, and no, no, I know,

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Speaker 2: but the but this, but the money is.

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Speaker 3: The issue at hand, yes, is that the money is

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Speaker 3: dec and we'd like to lock it in. So we

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Speaker 3: have been presented with a pretty incredible opportunity to UH

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Speaker 3: forward the innovations being made in the computer field while

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Speaker 3: simultaneously enriching ourselves with financial money and the two things

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Speaker 3: which have always been goals of the show, lining our

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Speaker 3: pockets as well as forwarding the technology of computer life.

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Speaker 3: Here on this.

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Speaker 1: Plan the computers pockets as well.

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Speaker 2: Is those so you guys, always from the beginning, one

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Speaker 2: of your goals the RIP was to try and advance

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Speaker 2: computer technolognology.

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Speaker 1: Even pre POD.

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Speaker 3: It was something that Hayes and I would often chop

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Speaker 3: it up about, you know, and I remember being into

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Speaker 3: the wee hours just imagining how we.

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Speaker 1: Could help computer ron and I would do hackathon Land parties. Yeah,

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Speaker 1: Land Party Land Yeah, Land Party.

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Speaker 2: Land line.

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Speaker 3: Yeah mm hmm if I see Land's end, yeah, C

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Speaker 3: plus plus mm hm.

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Speaker 1: That's code and Jack we code in this piece.

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Speaker 2: Yeah, you guys love to code.

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Speaker 3: Okay, favorite code language.

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Speaker 2: Go ro robot is that one?

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Speaker 1: Robut robot r O b U T. Yeah, I can't

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Speaker 1: say it's my favorite.

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Speaker 2: I also like Ruby on rails and I know about

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Speaker 2: that outside of knowing Will Hines and uh talk about it.

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Speaker 2: At length, I think, m that's right.

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Speaker 1: Yeah, I'm a python man, but.

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Speaker 3: It's it's not really my place to explain what that

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Speaker 3: would mean.

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Speaker 2: So so I'm seeing them on like on PB or

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Speaker 2: because you could rent their movies at the library.

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Speaker 3: And the movies have fucking crazy like you can see

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Speaker 3: some stuff sometimes.

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Speaker 1: And he's in shunts packing a couple of them as well.

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Speaker 3: Mm hmmm, a couple of pythons.

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Speaker 2: You're them? What do you mean by packing them out?

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Speaker 3: Packing pythons?

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Speaker 1: It's it's a it's a pacathon over there, left righty, fine,

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Speaker 1: I don't think my jacket off show show them a

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Speaker 1: little bit.

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Speaker 3: That's okay, Joe, don't be scared.

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Speaker 1: They're defanged.

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Speaker 2: Mm hmmm.

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Speaker 3: Wow, so there's some pythons over here.

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Speaker 2: Sure.

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Speaker 3: So that's something that I use when I'm coding, because

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Speaker 3: people don't realize that if you don't hit the keys

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Speaker 3: hard enough, the computer doesn't think of you as the

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Speaker 3: boss stroke. And as we go into this world of

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Speaker 3: artificial intelligence, yes, it is a dirty word.

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Speaker 1: Uh, you know, with.

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Speaker 3: The strikes and everything, people are saying this is bad.

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Speaker 3: It's actually a tool though, that we can use in

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Speaker 3: all fields, and it needs training and part of that

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Speaker 3: training is punching.

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Speaker 1: The key so hard right that it's like.

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Speaker 3: I guess I don't want to cut out a line

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Speaker 3: with this gentleman coder because he's going to be able

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Speaker 3: to physically restrain me the artificial intelligence.

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Speaker 2: Yeah, so go ahead.

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Speaker 1: It's on the table for us to contribute our voices

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Speaker 1: across our entire library, a decade of work to somebody

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Speaker 1: who is building an AI.

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Speaker 3: In order to train the AI. What would basically be

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Speaker 3: the food that we feed it, Yes, would be our

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Speaker 3: podcast in exchange for d money.

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Speaker 1: When I tell you the money is dese, please believe.

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Speaker 1: So the offers on the table that's there on freaking

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Speaker 1: clod hoppers over there.

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Speaker 3: Sorry, I put my shoes up.

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Speaker 2: I just.

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Speaker 3: I gotta stretch out when I'm in here. I can't

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Speaker 3: be all, you know, like all buckled up, like just

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Speaker 3: like well this is space.

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Speaker 2: But I like to make it feel like I'm trying

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Speaker 2: to make myself very small.

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Speaker 3: I'll put my feet on the ground.

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Speaker 2: There's too much.

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Speaker 3: I can never The court is never where I want

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Speaker 3: it to be. So we have this issue that they've

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Speaker 3: agreed to de money to have us train it, but.

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Speaker 2: The computer doesn't want to eat the Big podcast.

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Speaker 3: Well, it's making the computer have a personality that they

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Speaker 3: were not intending to gear it towards.

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Speaker 1: Basically, the.

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Speaker 3: Shorthand that they've said is that the computer has become.

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Speaker 1: A woke sex addict.

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Speaker 2: Okay, which.

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Speaker 3: I don't know. We just make the show, you know,

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Speaker 3: we were never thinking in any way about like what

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Speaker 3: it would become if it became like a technological brain

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Speaker 3: of its own.

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Speaker 2: So the computer took in all the information from all

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Speaker 2: the episodes of the show and deconstructed it and put

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Speaker 2: it back together.

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Speaker 3: Yes, and it became an incredibly woke, like destructively woke

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Speaker 3: sex addict of some kind. And so it's according to

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Speaker 3: this programmer, it's like very aggressively policing everyone's language while

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Speaker 3: simultaneously just trying to referring to itself as a pussy holic.

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Speaker 3: Things like this that like where you go, well, the

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Speaker 3: you know, these are disconnected, right, the behavior of being

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Speaker 3: so concerned and you know, always kind of scrambling for

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Speaker 3: the moral high ground and then really kind of like

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Speaker 3: devaluing what we both have talked about a lot. You know, romance,

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Speaker 3: love making, right, uh, you know, the passion that is

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Speaker 3: shared when you really commit to another person.

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Speaker 2: Yeah, monogaby and just making a deep connection. And uh

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Speaker 2: and I always want to mate for life.

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Speaker 1: Yeah yeah, And is that coming from talk about neither

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Speaker 1: of us? Is this right? It's something about the combination

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Speaker 1: of but neither of us individually is like a like

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Speaker 1: a sex addict. Like I can stop whenever I want,

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Speaker 1: I can also stop whenever I want.

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Speaker 3: Yeah, I can still any when if second Hay says

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Speaker 3: the word yep, I'm hanging it up when he tells me, okay.

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Speaker 1: It's free speed, Yes, obsessed with free street speech, loathe wokeness. Yeah,

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Speaker 1: but it's something about in.

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Speaker 3: Its current form we should say, Oh yeah, sure, it

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Speaker 3: was likely. It used to be very good.

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Speaker 1: It used to be cool, It used to be.

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Speaker 3: Excellent, but like all things, you know, becomes perverted, becomes

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Speaker 3: used for nefarious means, right, weaponized by bad actors, which

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Speaker 3: is also could describe some of the guests we've had

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Speaker 3: on our show. And I do blame them.

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Speaker 2: Oh sure, Yeah, it's the computer only taking in your

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Speaker 2: guys's essence or no. And this is the problem. This

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Speaker 2: is the problem. The guess are being an influence too.

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Speaker 2: It can't separate. Just give me Sean and Hayes. They're

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Speaker 2: like the fly. The guests are all the fly in

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Speaker 2: the pod.

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Speaker 1: And I think there might have been one extreme outlier.

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Speaker 1: We're not sure exactly who it may have been, but

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Speaker 1: someone who was addicted to woke sex and has has

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Speaker 1: dragged the formula. They wrecked the curve, I mean exactly.

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Speaker 1: But we can't find it. I've I've been pounding away

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Speaker 1: at the keys trying to trying to find it in

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Speaker 1: the coke. My gosh, it's moving too fast, it's moving

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Speaker 1: too fat.

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Speaker 2: It's a ghost in the machine and you yes, yes, yes,

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Speaker 2: bunking into walls and stuff. And then the ghosts a mummy.

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Speaker 3: It's a mummy, but yes, towards labyrinth and you know,

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Speaker 3: and and the and the riddle is what guest could

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Speaker 3: it be? So you know your duty here is twofold.

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Speaker 2: Okay, detect the guest, okay, the wicked guest, all right.

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Speaker 3: And provide us with content, right, some of your signature

228
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Speaker 3: humor that can train the machine to be not so woke, right,

229
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Speaker 3: because you're all for you know, clowning around and people's

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Speaker 3: get feathers get ruffled.

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Speaker 2: What I want to say all the time, just like

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Speaker 2: with that whole Jesus belt thing, Like I just should

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Speaker 2: be able to say it.

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Speaker 3: Even if there's certainly people and to hear that whenever

235
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Speaker 3: you want, whatever timing you want to be, as late

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Speaker 3: as you want to say it and as many times.

237
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Speaker 3: So I think that that is like very fair. So

238
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Speaker 3: we need to provide that and they will hopefully course correct.

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Speaker 3: But but your duty is twofold because we do also

240
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Speaker 3: need to somehow sniff out and.

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Speaker 1: Hunt assassinate the menatur.

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Speaker 2: Yeah, I gotta get that guest.

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Speaker 3: And I am maybe think of guests that we could

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Speaker 3: accuse of.

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Speaker 2: This cool other people.

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Speaker 1: Yeah, let's put it this way, like Zach from Auntie Donna.

247
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Speaker 1: I don't think it's necessarily him, but that's an example

248
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Speaker 1: of a guest that we could accuse of this, you know.

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Speaker 2: What I mean?

250
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Speaker 3: Yeah, what's he gonna do?

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Speaker 1: Get me.

252
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Speaker 2: In Australia?

253
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Speaker 3: Take him so long to get over here? It followed, uh,

254
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Speaker 3: just like by the time he arrives, I got.

255
00:14:53,720 --> 00:14:54,000
Speaker 1: Yes.

256
00:14:54,120 --> 00:14:57,720
Speaker 3: The second he gets on a plane, the airline calls me. Yeah, yeah,

257
00:14:58,440 --> 00:15:01,200
Speaker 3: they go, well it's happening. I go, okay, I've only

258
00:15:01,240 --> 00:15:04,960
Speaker 3: got a day and a half right to fucking get

259
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Speaker 3: my affairs in order, Yes, and then offer myself to him.

260
00:15:09,760 --> 00:15:10,400
Speaker 2: Plenty of time.

261
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Speaker 1: Jeremy from Jeremy and Rigott, Like, it's not him, I think, but.

262
00:15:17,480 --> 00:15:21,600
Speaker 3: I saw here he's here. Okay, No, he's Yeah, he's

263
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Speaker 3: a little kid.

264
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Speaker 1: Even better, he's fifteen years old.

265
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Speaker 2: What show does he right for?

266
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Speaker 3: What we do in Shadows?

267
00:15:28,080 --> 00:15:29,200
Speaker 2: Does he ever get scared?

268
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Speaker 1: Does he get scared? Yes? Absolutely, he's a little boy.

269
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Speaker 3: But those guys I would be comfortable accusing of basically anything. Yeah,

270
00:15:38,200 --> 00:15:40,720
Speaker 3: So it's like people that are safe to kind of

271
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Speaker 3: pin it on. But I wouldn't mind finding who it

272
00:15:43,400 --> 00:15:44,040
Speaker 3: actually is.

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Speaker 1: Audio Doherty. Yeah, Sona.

274
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Speaker 3: Sona is a very very likely suspect. That's my suspect list. Yes,

275
00:15:58,640 --> 00:16:00,720
Speaker 3: but if you could just face here, I am saying

276
00:16:00,760 --> 00:16:03,000
Speaker 3: all the names, Joe, why don't you say something?

277
00:16:03,320 --> 00:16:05,680
Speaker 1: But you could also like what we need We need

278
00:16:05,720 --> 00:16:12,000
Speaker 1: you to be feeding the computer stories like like like

279
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Speaker 1: things from your life.

280
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Speaker 4: People like you, man, man, people want to just like you,

281
00:16:20,160 --> 00:16:22,920
Speaker 4: and that no one thinks of you as being too

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00:16:23,000 --> 00:16:25,480
Speaker 4: woke and they certainly feel like you have a healthy

283
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Speaker 4: relationship with.

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Speaker 1: People are not liking this computer's personality, even even apart

285
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Speaker 1: from you.

286
00:16:32,680 --> 00:16:39,000
Speaker 2: Know, so the things I'm I just gotta be myself.

287
00:16:39,080 --> 00:16:40,920
Speaker 3: Be yourself.

288
00:16:39,640 --> 00:16:44,280
Speaker 2: It's the two things that I am is I got

289
00:16:44,320 --> 00:16:48,160
Speaker 2: no filter. I say just I am completely out of

290
00:16:48,200 --> 00:16:49,760
Speaker 2: pocket with the wild ship that I.

291
00:16:49,720 --> 00:16:51,880
Speaker 3: Think they say what people are actually thinking.

292
00:16:53,160 --> 00:16:56,080
Speaker 2: But then also I'm very chaste.

293
00:16:56,320 --> 00:16:59,560
Speaker 3: Oh absolutely, Yeah, you know we gotta you know, we

294
00:16:59,600 --> 00:17:00,840
Speaker 3: don't want to work blue here.

295
00:17:01,080 --> 00:17:05,439
Speaker 2: No, Yeah, I believe you've gotta lock it down and

296
00:17:05,520 --> 00:17:07,359
Speaker 2: keep it, keep it in your pants.

297
00:17:07,720 --> 00:17:07,960
Speaker 1: Yeah.

298
00:17:08,359 --> 00:17:10,520
Speaker 3: It's just like two things.

299
00:17:10,920 --> 00:17:14,760
Speaker 2: Have a health, computer healthy, normal amount of sex and

300
00:17:14,800 --> 00:17:16,720
Speaker 2: not be addicted to it.

301
00:17:17,400 --> 00:17:19,880
Speaker 1: Yes, and you're and you're a storytelling you know that's

302
00:17:19,880 --> 00:17:24,160
Speaker 1: your brand, is your storytelling comedian, and so like it's

303
00:17:24,200 --> 00:17:31,440
Speaker 1: a good that's the kind of nutritional the computer likes.

304
00:17:32,359 --> 00:17:36,080
Speaker 3: Everyone's come on the show and try to just like

305
00:17:36,640 --> 00:17:39,719
Speaker 3: zing in with like a little funny comment. And what

306
00:17:39,800 --> 00:17:44,120
Speaker 3: we need is a ten to twelve minute story, yes,

307
00:17:45,440 --> 00:17:47,600
Speaker 3: peppered with light jokes.

308
00:17:47,760 --> 00:17:52,000
Speaker 1: Yeah, funny comments are the nutrients. It's like feeding the

309
00:17:52,000 --> 00:17:58,320
Speaker 1: computer unpopped popcorn kernels. That's the that's the nutritional equivalent that.

310
00:17:58,440 --> 00:18:00,639
Speaker 2: Yeah, it's so candy.

311
00:18:00,680 --> 00:18:04,560
Speaker 3: There's no nutrition, you know, it's empty calories. But we

312
00:18:04,600 --> 00:18:06,480
Speaker 3: want to give this thing. I mean, you know, with

313
00:18:06,520 --> 00:18:08,320
Speaker 3: Thanksgiving around the corner, let's.

314
00:18:08,160 --> 00:18:13,280
Speaker 1: Give it a big feat popcorn stew. Yes, so still.

315
00:18:13,160 --> 00:18:18,800
Speaker 2: Popcorn, it's but it's feast on the string.

316
00:18:18,920 --> 00:18:22,680
Speaker 3: Yeah, it's a little turkey seasoning.

317
00:18:22,280 --> 00:18:24,560
Speaker 2: One of those little Christmas strings. So you just get

318
00:18:24,600 --> 00:18:28,520
Speaker 2: the popcorn. You just can suckle the popcorn off the strings. Exactly.

319
00:18:28,800 --> 00:18:32,919
Speaker 2: This is exactly what this is what they want. And

320
00:18:32,960 --> 00:18:34,840
Speaker 2: I'm not just so to get it out of the way.

321
00:18:34,960 --> 00:18:36,560
Speaker 2: I'm not going into the computer.

322
00:18:37,520 --> 00:18:40,639
Speaker 1: Oh God, Like, just are you not willing?

323
00:18:41,119 --> 00:18:43,000
Speaker 2: Just these ideas and thoughts are going in, but I

324
00:18:43,040 --> 00:18:44,960
Speaker 2: don't have to put on a special suit.

325
00:18:45,440 --> 00:18:47,960
Speaker 1: Are you asking or you're saying that you will not

326
00:18:48,080 --> 00:18:48,359
Speaker 1: do that?

327
00:18:49,240 --> 00:18:50,480
Speaker 3: I was trying to figure out.

328
00:18:50,359 --> 00:18:52,440
Speaker 2: When you guys were talking at the beginning. I thought

329
00:18:52,480 --> 00:18:54,320
Speaker 2: maybe I was going to have to get trons into

330
00:18:54,320 --> 00:18:55,600
Speaker 2: the computer or something.

331
00:18:56,119 --> 00:18:59,440
Speaker 1: And I just certainly, are you asking whether or not

332
00:19:00,280 --> 00:19:02,439
Speaker 1: you will do that or are you declaring that.

333
00:19:02,600 --> 00:19:04,920
Speaker 3: Are you drawing a boundary with us?

334
00:19:05,080 --> 00:19:09,840
Speaker 2: I just was getting uh, just distracted of how tight

335
00:19:09,920 --> 00:19:11,920
Speaker 2: is the thing gonna be or should I have to.

336
00:19:12,080 --> 00:19:13,120
Speaker 1: How tight is the suit?

337
00:19:13,800 --> 00:19:15,080
Speaker 3: You could see everything?

338
00:19:15,240 --> 00:19:19,919
Speaker 2: Yeah, because I got the opposite of the couple. I

339
00:19:19,960 --> 00:19:22,479
Speaker 2: got two old sickly worms that even if you went

340
00:19:22,520 --> 00:19:24,720
Speaker 2: to the bait chop you'd go, do you have something else?

341
00:19:24,760 --> 00:19:26,560
Speaker 2: I'm paying you real money for this. Give me.

342
00:19:27,000 --> 00:19:28,000
Speaker 1: I want a healthy fish.

343
00:19:28,040 --> 00:19:28,920
Speaker 3: I don't want to fish.

344
00:19:30,119 --> 00:19:31,560
Speaker 2: Fish is going to pinch their nose.

345
00:19:31,640 --> 00:19:33,120
Speaker 1: I'm trying to catch cod for the rock.

346
00:19:33,240 --> 00:19:34,800
Speaker 2: Yeah you know what I mean. Yes, I am on

347
00:19:34,880 --> 00:19:37,600
Speaker 2: the and we're doing a podcast. Is that something from earlier,

348
00:19:37,880 --> 00:19:39,680
Speaker 2: from the thing that when you guys were putting cod

349
00:19:39,720 --> 00:19:40,840
Speaker 2: in for other words? I'm like that.

350
00:19:40,880 --> 00:19:42,840
Speaker 3: Yeah, but it was always God when we were doing it.

351
00:19:42,920 --> 00:19:45,000
Speaker 2: Uh huh. But yeah, all right, Well I'll get back

352
00:19:45,000 --> 00:19:45,199
Speaker 2: to it.

353
00:19:45,280 --> 00:19:46,840
Speaker 1: We try to have it. I'll be played on.

354
00:19:46,960 --> 00:19:48,120
Speaker 2: In cod, we trust.

355
00:19:48,359 --> 00:19:51,040
Speaker 1: Yeah, right, I like it.

356
00:19:51,320 --> 00:19:51,879
Speaker 2: I like it.

357
00:19:51,960 --> 00:19:55,560
Speaker 3: It's been long enough for me. You started it, right,

358
00:19:55,640 --> 00:19:56,960
Speaker 3: built body built by cod?

359
00:19:57,240 --> 00:20:01,920
Speaker 2: Yes, yeah, no I'm not. I'm not. Yeah, absolutely, Hey man,

360
00:20:02,000 --> 00:20:07,480
Speaker 2: you started it. Okay, so I'm not gonna have to

361
00:20:07,520 --> 00:20:09,840
Speaker 2: put a special suit on. I just got a beamie.

362
00:20:10,320 --> 00:20:11,640
Speaker 2: Just tell a nice I.

363
00:20:11,640 --> 00:20:14,679
Speaker 1: Know you got a Thanksgiving story. What's the most classic

364
00:20:14,920 --> 00:20:16,160
Speaker 1: epics Thanksgiving?

365
00:20:16,480 --> 00:20:24,360
Speaker 3: Okay, most Thanksgiving? No sex please, that you've ever been

366
00:20:24,400 --> 00:20:27,560
Speaker 3: involved with? Okay, you got a little bit of an

367
00:20:27,640 --> 00:20:32,000
Speaker 3: unusual family too, right, Thanksgivings the time for family.

368
00:20:32,119 --> 00:20:35,720
Speaker 1: Well, you're doing ideally what a teen Thanksgiving doesn't have

369
00:20:35,800 --> 00:20:39,320
Speaker 1: to be. But that's something we're missing, is like teenage stuff,

370
00:20:39,720 --> 00:20:40,640
Speaker 1: teen content?

371
00:20:40,800 --> 00:20:45,000
Speaker 3: Yes, yeah, Well.

372
00:20:47,119 --> 00:20:50,800
Speaker 2: My wife and I were trying to have thanks and

373
00:20:50,960 --> 00:20:52,960
Speaker 2: just like a nice normal Thanksgiving.

374
00:20:53,480 --> 00:20:58,560
Speaker 1: Been there, trying, trying and failing.

375
00:20:59,000 --> 00:21:04,680
Speaker 3: Yes, it's always Thanksgiving. Let me have just a normal Thanksgiving?

376
00:21:05,000 --> 00:21:08,080
Speaker 1: Uh uh yes.

377
00:21:10,160 --> 00:21:14,920
Speaker 5: And uh I that way he got, I'll go late

378
00:21:14,960 --> 00:21:19,280
Speaker 5: to That was a normal Thanksgiving, said no one ever,

379
00:21:21,320 --> 00:21:24,600
Speaker 5: so hard to do, talk about your wife.

380
00:21:25,000 --> 00:21:28,280
Speaker 1: The computer is like really loving this the computers. The

381
00:21:28,320 --> 00:21:32,480
Speaker 1: computers start getting He is with it. That's why he's

382
00:21:32,520 --> 00:21:32,920
Speaker 1: not here.

383
00:21:33,000 --> 00:21:34,919
Speaker 3: Has had to go to the computer and kind of

384
00:21:34,920 --> 00:21:37,400
Speaker 3: see what was you know, how we react.

385
00:21:37,840 --> 00:21:39,800
Speaker 1: It's ear is like kind of shaking a little bit

386
00:21:39,880 --> 00:21:43,120
Speaker 1: like it really it's like it's very curious about what

387
00:21:43,119 --> 00:21:45,040
Speaker 1: what this thinks, what's going to go down at things?

388
00:21:45,080 --> 00:21:46,680
Speaker 2: The computer's ear is shaking.

389
00:21:46,760 --> 00:21:50,080
Speaker 3: Computer's ear is shaking around, which means it's really liking

390
00:21:50,200 --> 00:21:52,880
Speaker 3: you know what we're doing. Okay, he has to track

391
00:21:52,920 --> 00:21:53,879
Speaker 3: it in real time, you.

392
00:21:53,880 --> 00:21:58,280
Speaker 2: Know, Well, I'm it's my job to sort of get

393
00:21:58,320 --> 00:22:02,560
Speaker 2: the bird ready and Turkey bird forever.

394
00:22:02,640 --> 00:22:02,840
Speaker 1: Yeah.

395
00:22:03,000 --> 00:22:05,000
Speaker 2: Oh when I say bird, I'm talking about turkey.

396
00:22:05,160 --> 00:22:08,840
Speaker 3: Have a lot of other uh different listeners.

397
00:22:08,440 --> 00:22:12,360
Speaker 2: And have and can just to do like a little small,

398
00:22:13,240 --> 00:22:15,840
Speaker 2: little funny thing in the middle of this story. Does

399
00:22:15,880 --> 00:22:24,640
Speaker 2: anybody eat they? Does anybody we go? Because how many

400
00:22:24,640 --> 00:22:28,320
Speaker 2: times are you ever in July and it's time for

401
00:22:28,400 --> 00:22:30,280
Speaker 2: dinner and you're sitting down for dinner and you go,

402
00:22:30,320 --> 00:22:32,200
Speaker 2: you know what I'm gonna have tonight? Turkey?

403
00:22:32,480 --> 00:22:34,439
Speaker 1: Oh it's so good. That's why we eat it all

404
00:22:34,520 --> 00:22:35,000
Speaker 1: year round.

405
00:22:35,080 --> 00:22:37,560
Speaker 2: Yeah, we seem to have the one time.

406
00:22:39,280 --> 00:22:44,240
Speaker 3: Get Joe, go after go after the fuckers who call

407
00:22:44,400 --> 00:22:45,520
Speaker 3: stuffing dressing.

408
00:22:45,720 --> 00:22:50,320
Speaker 2: Okay, and let me say, those fuckers, if you're stuffing,

409
00:22:50,760 --> 00:22:55,440
Speaker 2: if you're trying to not have uh the turkey bits

410
00:22:55,520 --> 00:23:00,960
Speaker 2: in there, how you make stuffing? I you gotta have it.

411
00:23:01,040 --> 00:23:03,160
Speaker 2: You got to cut this stuffing in the bird. Don't

412
00:23:03,160 --> 00:23:06,000
Speaker 2: give me none of this uh stuffing in a separate

413
00:23:06,040 --> 00:23:07,920
Speaker 2: pot mess. That's I don't like that.

414
00:23:08,040 --> 00:23:09,160
Speaker 3: Some people call it dressing.

415
00:23:09,240 --> 00:23:12,440
Speaker 2: Some people call it dressing too, which I think it's

416
00:23:12,480 --> 00:23:15,240
Speaker 2: the first time I'm hearing about it. Not a fan when.

417
00:23:15,119 --> 00:23:18,440
Speaker 1: I when I hear that, when I hear that I'm undressing.

418
00:23:18,680 --> 00:23:22,399
Speaker 2: Say that when I hear that I'm undressing for my

419
00:23:22,480 --> 00:23:23,640
Speaker 2: wife only.

420
00:23:25,240 --> 00:23:28,840
Speaker 1: Okay, good? It did not like the uh the stuff

421
00:23:28,880 --> 00:23:32,600
Speaker 1: about not liking turkey other parts of the year, it's

422
00:23:32,640 --> 00:23:33,560
Speaker 1: it's tooth fell out.

423
00:23:33,640 --> 00:23:36,600
Speaker 3: Well, I guess turkey sandwiches and stuff. Yeah, I guess

424
00:23:36,640 --> 00:23:38,320
Speaker 3: people do eat turkey all the time.

425
00:23:38,240 --> 00:23:41,000
Speaker 2: Like, but not a big roast turkey, no.

426
00:23:40,920 --> 00:23:43,600
Speaker 3: I know, but it is you know they do roast that.

427
00:23:43,600 --> 00:23:46,000
Speaker 3: That's not that's how you get the Yeah, that's how

428
00:23:46,040 --> 00:23:47,800
Speaker 3: you get it for the sandwiches. So I guess it

429
00:23:47,880 --> 00:23:51,800
Speaker 3: is really popular food. But it did like like this

430
00:23:51,920 --> 00:23:55,280
Speaker 3: is actually less common, Like I don't really see that

431
00:23:55,800 --> 00:23:58,200
Speaker 3: other times a year, so that's maybe a better target.

432
00:23:58,920 --> 00:24:01,480
Speaker 3: And people calling it dressing I thought was really good.

433
00:24:01,560 --> 00:24:03,960
Speaker 2: Well, cranberry sauce I have all the time. I have

434
00:24:03,960 --> 00:24:06,840
Speaker 2: cranberry sauce every morning, so that doesn't.

435
00:24:08,240 --> 00:24:10,280
Speaker 1: And what kind of vessel do you like?

436
00:24:11,240 --> 00:24:14,119
Speaker 2: I well, it's can shape, so usually it slides right

437
00:24:14,119 --> 00:24:18,040
Speaker 2: from the can right into my thermis and it's kind

438
00:24:18,040 --> 00:24:19,840
Speaker 2: of like a Boba ti sort of thing for me,

439
00:24:19,880 --> 00:24:21,320
Speaker 2: which is good.

440
00:24:21,680 --> 00:24:28,720
Speaker 1: He slump PLoP right all day long.

441
00:24:28,800 --> 00:24:31,600
Speaker 2: And yeah, I mean I have a pretty shallow thermist,

442
00:24:31,600 --> 00:24:34,240
Speaker 2: so it doesn't have that far of a distance to drop,

443
00:24:34,320 --> 00:24:37,040
Speaker 2: so it's more of just a schlump slump.

444
00:24:37,119 --> 00:24:39,920
Speaker 3: Oh okay, so it doesn't really PLoP when it hits it.

445
00:24:39,920 --> 00:24:41,080
Speaker 2: It's not plopping that much.

446
00:24:41,200 --> 00:24:46,119
Speaker 3: No, Okay, the metal inside or what's.

447
00:24:45,880 --> 00:24:50,359
Speaker 2: The metal thermosa, big sort of plastic straw.

448
00:24:51,280 --> 00:24:56,440
Speaker 3: Okay, wow, any design on the outside of the thermost skulls.

449
00:24:58,200 --> 00:25:01,879
Speaker 1: Hey, oh, people think it's poisoned. They don't eat all

450
00:25:01,920 --> 00:25:02,600
Speaker 1: your cribs.

451
00:25:02,760 --> 00:25:02,960
Speaker 2: Yep.

452
00:25:03,119 --> 00:25:10,960
Speaker 3: Otherwise, Yeah, the idea, well, that story, uh, you know,

453
00:25:11,160 --> 00:25:13,119
Speaker 3: we had some positives and negatives.

454
00:25:13,960 --> 00:25:15,960
Speaker 1: It didn't happen. I'm not sure that the story.

455
00:25:16,200 --> 00:25:19,639
Speaker 2: The middle yeah, the middle part was me sort of

456
00:25:19,880 --> 00:25:22,280
Speaker 2: taking a break and saying, is turkey even that good?

457
00:25:22,320 --> 00:25:24,240
Speaker 2: And then yeah, yeah.

458
00:25:24,280 --> 00:25:26,720
Speaker 3: But then because you were trying to have a normal Thanksgiving,

459
00:25:26,800 --> 00:25:28,760
Speaker 3: you were in charge of the bird. Then you wanted

460
00:25:28,800 --> 00:25:30,880
Speaker 3: to know if people thought turkey was good.

461
00:25:31,000 --> 00:25:32,480
Speaker 2: Uh huh, verdicts.

462
00:25:32,160 --> 00:25:34,160
Speaker 3: Kind of in on that, Yes, people like it.

463
00:25:34,480 --> 00:25:37,399
Speaker 2: And then yeah, and then we just I pulled her

464
00:25:37,440 --> 00:25:39,760
Speaker 2: out and basted it. And I was kind of skipping

465
00:25:39,760 --> 00:25:42,120
Speaker 2: past this because it was like, yeah, okay, every half

466
00:25:42,160 --> 00:25:43,840
Speaker 2: an hour, I'm going to base it a little bit more,

467
00:25:43,840 --> 00:25:46,160
Speaker 2: and then I pulled it out and I put the

468
00:25:46,160 --> 00:25:49,040
Speaker 2: thermometer in. It was good. It took it out, carved

469
00:25:49,040 --> 00:25:51,399
Speaker 2: the turkey, and we ate the turkey and everybody was happy.

470
00:25:52,320 --> 00:25:54,800
Speaker 3: And that was And all you wanted was a normal

471
00:25:54,880 --> 00:25:56,160
Speaker 3: Thanksgiving right.

472
00:25:56,680 --> 00:25:59,719
Speaker 2: Sometime to do, and sometimes you just get exactly what

473
00:25:59,720 --> 00:26:00,000
Speaker 2: you want.

474
00:26:01,160 --> 00:26:05,760
Speaker 1: Okay. The computer was it was medically dead for a second.

475
00:26:06,640 --> 00:26:10,000
Speaker 3: No, that's we're not going to get this decent money

476
00:26:10,040 --> 00:26:12,760
Speaker 3: if if we Yeah, computer medically dead.

477
00:26:13,040 --> 00:26:16,040
Speaker 1: It really didn't like the end of that, like mm hmm.

478
00:26:16,880 --> 00:26:20,120
Speaker 1: The basting. It perked up on the basting a little bit,

479
00:26:20,160 --> 00:26:22,320
Speaker 1: but then it seemed like you didn't want you wanted

480
00:26:22,320 --> 00:26:23,320
Speaker 1: to skip over that.

481
00:26:24,119 --> 00:26:25,600
Speaker 2: So it was into the base thing.

482
00:26:25,920 --> 00:26:28,159
Speaker 1: Yeah, that was it. But no, I wouldn't say I

483
00:26:28,200 --> 00:26:31,280
Speaker 1: worry about it. Yeah, exactly.

484
00:26:31,560 --> 00:26:36,960
Speaker 5: Yeah, it felt a little a little.

485
00:26:38,040 --> 00:26:41,280
Speaker 3: Yeah, Jesse kept saying, I take it out. I pasted.

486
00:26:41,920 --> 00:26:44,600
Speaker 1: Yeah, every half hour, it's like what else do you

487
00:26:44,600 --> 00:26:45,400
Speaker 1: do every half hour?

488
00:26:45,520 --> 00:26:47,480
Speaker 3: It's like I can think of something else I do

489
00:26:47,520 --> 00:26:51,040
Speaker 3: every single half hour? Oh yeah, all leading up to Thanksgiving?

490
00:26:51,400 --> 00:26:55,159
Speaker 2: Whoops, Well sure you got the whole day off yeah,

491
00:26:55,880 --> 00:26:56,280
Speaker 2: mm hmm.

492
00:26:57,400 --> 00:27:00,600
Speaker 3: So it wasn't a super successful story, but I still

493
00:27:00,600 --> 00:27:02,119
Speaker 3: think you're the right man for the job. Have you

494
00:27:02,119 --> 00:27:04,320
Speaker 3: thought of any names of people to accuse.

495
00:27:06,720 --> 00:27:06,960
Speaker 1: You'd?

496
00:27:07,200 --> 00:27:08,760
Speaker 2: Have you ever had my dad on the show?

497
00:27:09,160 --> 00:27:13,320
Speaker 3: Oh okay, Kevin, you do the booking. Have we had

498
00:27:13,400 --> 00:27:14,359
Speaker 3: Joe Wingert's dad?

499
00:27:14,680 --> 00:27:16,680
Speaker 2: What's his name, Ed Wangert?

500
00:27:17,720 --> 00:27:17,800
Speaker 1: Ed?

501
00:27:19,200 --> 00:27:22,200
Speaker 2: I don't think so, Okay, I'm trying to think other

502
00:27:22,240 --> 00:27:23,159
Speaker 2: people I know.

503
00:27:24,560 --> 00:27:29,359
Speaker 1: Edward Wengert. Yeah, that's right, that's his name. I was like,

504
00:27:29,960 --> 00:27:32,679
Speaker 1: sounds like something that Batman should be, like putting the

505
00:27:32,680 --> 00:27:36,639
Speaker 1: clues together? What the name actually means? It feels like

506
00:27:36,640 --> 00:27:38,760
Speaker 1: it beats something, but it's not Ed.

507
00:27:43,760 --> 00:27:45,560
Speaker 2: I'm not going to say my mom because if you

508
00:27:45,640 --> 00:27:49,280
Speaker 2: had any Yeah, that's that's also you haven't had her

509
00:27:49,359 --> 00:27:54,800
Speaker 2: on the show, right, I do Joan? You think you

510
00:27:54,800 --> 00:27:57,479
Speaker 2: think my mom's name is Joan Wangert? And then they

511
00:27:57,520 --> 00:27:59,000
Speaker 2: named me Joe Wangert?

512
00:28:03,160 --> 00:28:11,320
Speaker 1: Yes, all right, we need another story. I mean, the

513
00:28:12,359 --> 00:28:14,000
Speaker 1: computers like gasping.

514
00:28:15,520 --> 00:28:19,520
Speaker 3: It's gasping for it. The computer is starting to get

515
00:28:19,520 --> 00:28:20,560
Speaker 3: really upset, so.

516
00:28:20,560 --> 00:28:23,840
Speaker 1: It needs a story. It can be in the holiday area.

517
00:28:24,119 --> 00:28:26,760
Speaker 3: Well, what I mean we Thanksgiving was kind of a

518
00:28:26,800 --> 00:28:30,640
Speaker 3: bus no offense, but we just had Halloween and Christmas

519
00:28:30,680 --> 00:28:32,159
Speaker 3: is around the corner, So take your pick. Do you

520
00:28:32,200 --> 00:28:36,359
Speaker 3: have funny Halloween or Christmas story? Something nice, something for

521
00:28:36,400 --> 00:28:38,000
Speaker 3: the computer to enjoy.

522
00:28:38,240 --> 00:28:44,360
Speaker 2: Okay, well, you know for Halloween, I was a jellyfish

523
00:28:44,440 --> 00:28:51,640
Speaker 2: this year. Is this the right area.

524
00:28:50,560 --> 00:28:52,480
Speaker 3: The computer's feeling about it?

525
00:28:52,520 --> 00:28:52,800
Speaker 5: Are you?

526
00:28:55,040 --> 00:28:58,840
Speaker 2: My daughter wanted to be a mermaid, and so she

527
00:28:58,960 --> 00:29:02,000
Speaker 2: wanted me to be a jelly fish, and she wanted

528
00:29:02,000 --> 00:29:03,800
Speaker 2: our dog to be a crash.

529
00:29:03,880 --> 00:29:04,600
Speaker 1: She's the boss.

530
00:29:04,720 --> 00:29:07,280
Speaker 2: Uh, well she had a full, she had the full.

531
00:29:07,520 --> 00:29:09,480
Speaker 1: Well, she's bossing you around.

532
00:29:10,520 --> 00:29:12,800
Speaker 2: Well, it's Halloween is sort of for kids.

533
00:29:14,680 --> 00:29:17,000
Speaker 1: So how did the computer feel about Halloween?

534
00:29:17,040 --> 00:29:18,280
Speaker 3: Saying Halloween's for kids?

535
00:29:19,440 --> 00:29:24,680
Speaker 1: Uh, it's okay, that it's it's it's doing an image

536
00:29:24,680 --> 00:29:30,120
Speaker 1: search for Joe's daughter, which I I I don't know,

537
00:29:30,520 --> 00:29:34,640
Speaker 1: like good luck. Yeah, oh you're one of the you

538
00:29:34,680 --> 00:29:37,640
Speaker 1: put like an emoji over your kid's face.

539
00:29:37,480 --> 00:29:39,600
Speaker 2: On, put a type of piece of I want to

540
00:29:39,640 --> 00:29:43,200
Speaker 2: post a picture on my daughter so bad, but I

541
00:29:43,560 --> 00:29:46,400
Speaker 2: got that up. I'm not putting her face up. I'm

542
00:29:46,400 --> 00:29:47,680
Speaker 2: putting a piece of fruit there.

543
00:29:47,480 --> 00:29:50,840
Speaker 3: Instead, big old hunk of fruit.

544
00:29:51,040 --> 00:29:54,920
Speaker 2: And I for some I haven't an issue for a

545
00:29:54,920 --> 00:29:57,719
Speaker 2: while where I could not. I learned how to do

546
00:29:57,840 --> 00:30:00,680
Speaker 2: the fruit on the picture on the phone, but I

547
00:30:00,800 --> 00:30:03,320
Speaker 2: had a hard time figuring that out, and I didn't

548
00:30:03,320 --> 00:30:06,320
Speaker 2: want to ask anybody because I felt embarrassed. So I

549
00:30:06,360 --> 00:30:06,720
Speaker 2: went and.

550
00:30:06,760 --> 00:30:08,560
Speaker 3: Then you got to show them the picture to even

551
00:30:08,720 --> 00:30:09,520
Speaker 3: have him help.

552
00:30:09,520 --> 00:30:12,040
Speaker 2: And then they see it and so it's the same thing.

553
00:30:12,120 --> 00:30:14,280
Speaker 2: It's on it just a micro level of what i'd

554
00:30:14,320 --> 00:30:16,040
Speaker 2: be doing on the internet. But anyway, I went to

555
00:30:16,080 --> 00:30:18,000
Speaker 2: a store. They sell a little lampshade you put in

556
00:30:18,000 --> 00:30:20,479
Speaker 2: your kid's head for in real life for the picture.

557
00:30:20,680 --> 00:30:21,720
Speaker 3: Okay, so then you take it.

558
00:30:22,160 --> 00:30:24,880
Speaker 2: Always seems like they're behind a lamp.

559
00:30:25,240 --> 00:30:25,400
Speaker 3: Kid.

560
00:30:25,920 --> 00:30:29,480
Speaker 1: It makes it seem like she's like a party hound.

561
00:30:30,320 --> 00:30:33,160
Speaker 1: It makes it seem like absolute rage aholic.

562
00:30:33,520 --> 00:30:36,960
Speaker 3: She's partying as hard as Garfield did when he was

563
00:30:37,040 --> 00:30:39,480
Speaker 3: partying hard. That's who I really associate with, wearing a

564
00:30:39,560 --> 00:30:44,000
Speaker 3: lampshade when stuff gets out of hand. So that's cool,

565
00:30:44,120 --> 00:30:45,600
Speaker 3: Garfield party daughter.

566
00:30:46,160 --> 00:30:51,440
Speaker 1: Uh, what did you do to be the jellyfish?

567
00:30:51,760 --> 00:30:53,680
Speaker 2: So she wanted my wife Maybe.

568
00:30:53,520 --> 00:30:58,000
Speaker 3: He didn't sing anybody the computer like that.

569
00:30:59,080 --> 00:31:03,720
Speaker 1: Yeah, yeah, yeah, it's nodding, it's nodding, but go ahead.

570
00:31:03,440 --> 00:31:07,400
Speaker 2: I interrupted, Uh, she wanted my wife to be a

571
00:31:07,440 --> 00:31:11,320
Speaker 2: piece of seaweed, right.

572
00:31:11,840 --> 00:31:15,440
Speaker 5: She really wears the pants of the family and the fishtail.

573
00:31:15,640 --> 00:31:18,240
Speaker 2: My wife, My wife did not like the sound of

574
00:31:18,320 --> 00:31:19,920
Speaker 2: that being pieces of seaweed.

575
00:31:20,760 --> 00:31:22,600
Speaker 1: One piece, just.

576
00:31:22,640 --> 00:31:27,560
Speaker 2: One piece of kids eat seaweed now, yep, little and little,

577
00:31:27,880 --> 00:31:30,120
Speaker 2: little dried out packets, yeah they do. Mm hm.

578
00:31:30,680 --> 00:31:33,200
Speaker 1: So we are sometimes big wet clumps as well. I

579
00:31:33,200 --> 00:31:35,000
Speaker 1: mean it's not just the dried up packets.

580
00:31:35,040 --> 00:31:39,480
Speaker 3: Oh yeah, big, big wet, big slimy of help.

581
00:31:40,240 --> 00:31:41,760
Speaker 2: Yeah, straight from the ocean.

582
00:31:43,200 --> 00:31:46,240
Speaker 1: Yeah, sometimes doesn't even get out of the ocean before

583
00:31:46,280 --> 00:31:50,240
Speaker 1: it's in their mouths. Just you know, the tie tie enough.

584
00:31:51,560 --> 00:31:54,440
Speaker 2: Mm hmm. I didn't. I've never had it like that.

585
00:31:54,560 --> 00:31:56,080
Speaker 2: I've only ever had the dried out.

586
00:31:56,440 --> 00:31:58,840
Speaker 1: So what did you do to be the jelly fish

587
00:31:59,080 --> 00:31:59,960
Speaker 1: we got?

588
00:32:00,480 --> 00:32:04,600
Speaker 2: We decided to both be jellyfish, and we got it umbrellas,

589
00:32:04,920 --> 00:32:07,920
Speaker 2: and we put eyes on the umbrellas and and lights

590
00:32:07,960 --> 00:32:11,680
Speaker 2: to be the tentacles, and we wore a blu Wait.

591
00:32:11,880 --> 00:32:15,800
Speaker 3: So your wife said, no way like not only she

592
00:32:15,880 --> 00:32:17,320
Speaker 3: not like the sound to seaweed.

593
00:32:17,400 --> 00:32:20,520
Speaker 1: She said, I'm not doing it, she said.

594
00:32:21,640 --> 00:32:26,720
Speaker 3: She said, hey, kid, fuck you, I'm not wearing that ship. Yeah,

595
00:32:26,800 --> 00:32:29,320
Speaker 3: he gets to be a jellyfish. I don't think so,

596
00:32:29,680 --> 00:32:34,560
Speaker 3: and did two jellyfish. I hope she didn't stick anybody. No,

597
00:32:34,720 --> 00:32:37,640
Speaker 3: sounds like she really wears the pants around that house.

598
00:32:37,840 --> 00:32:42,000
Speaker 2: Yeah, and she's and Halloween is for kids. But then

599
00:32:42,080 --> 00:32:45,520
Speaker 2: my wife was like, I'm having a strong opinion about it,

600
00:32:45,600 --> 00:32:46,600
Speaker 2: but I'm an adult.

601
00:32:46,720 --> 00:32:47,960
Speaker 3: Uh huh.

602
00:32:48,000 --> 00:32:52,680
Speaker 2: And so then we both were jellyfish.

603
00:32:51,360 --> 00:32:56,560
Speaker 3: Umbrella two of them, same color, Yeah, same costume. Basically

604
00:32:58,080 --> 00:32:59,440
Speaker 3: didn't mix it up at all though.

605
00:32:59,720 --> 00:33:04,720
Speaker 1: No Ah, okay, I mean my because it's just an umbrella.

606
00:33:04,760 --> 00:33:06,160
Speaker 1: You didn't get two different umbrellas.

607
00:33:06,200 --> 00:33:08,840
Speaker 2: My blue sweatsuit was bigger than hers because I'm bigger

608
00:33:08,920 --> 00:33:12,280
Speaker 2: than her. Say that's a flex.

609
00:33:14,840 --> 00:33:17,080
Speaker 1: He's like, the cod.

610
00:33:18,760 --> 00:33:19,760
Speaker 3: Can make yourself bigger.

611
00:33:19,920 --> 00:33:22,560
Speaker 2: Yeah, like yeah, a lot of it.

612
00:33:23,880 --> 00:33:28,920
Speaker 1: Yes, Oh great, Okay, I.

613
00:33:28,880 --> 00:33:30,680
Speaker 2: Feel like that wasn't another story.

614
00:33:30,920 --> 00:33:32,800
Speaker 1: Well it was Hayes.

615
00:33:33,600 --> 00:33:37,040
Speaker 3: He I mean Hayes, I think is okay, So something

616
00:33:37,080 --> 00:33:39,560
Speaker 3: happened with the computer really bad.

617
00:33:41,560 --> 00:33:42,840
Speaker 1: Because he froze up.

618
00:33:43,080 --> 00:33:47,320
Speaker 2: No, he could be doing it as a joke. Don't laugh, Haze, Okay,

619
00:33:47,480 --> 00:33:49,560
Speaker 2: don't don't laugh. Don't you dare.

620
00:33:49,800 --> 00:33:50,760
Speaker 1: You're not tricking me.

621
00:33:53,400 --> 00:33:56,720
Speaker 3: He's pretending to be frozen. Well, we got a little time.

622
00:33:56,800 --> 00:33:57,600
Speaker 3: Do you think Hayes is.

623
00:33:57,600 --> 00:34:02,400
Speaker 1: Doing okay well on the episode? Yoh yeah, oh good?

624
00:34:02,520 --> 00:34:04,480
Speaker 3: Yeah, I just okay good.

625
00:34:04,880 --> 00:34:05,920
Speaker 2: I just get worried.

626
00:34:07,200 --> 00:34:08,400
Speaker 3: I didn't think he was doing.

627
00:34:08,160 --> 00:34:10,600
Speaker 2: That goods in the computer too. Yeah, he's in a

628
00:34:10,680 --> 00:34:11,560
Speaker 2: computer in a way.

629
00:34:11,840 --> 00:34:15,279
Speaker 3: Okay, so he's maybe he's maybe taking on the personality

630
00:34:15,320 --> 00:34:16,600
Speaker 3: of the computer a little bit.

631
00:34:16,719 --> 00:34:22,520
Speaker 2: It could be who oh, hey is his back?

632
00:34:22,640 --> 00:34:24,120
Speaker 3: Hey there's an owl in here?

633
00:34:26,520 --> 00:34:29,880
Speaker 1: Sorry? The computer really didn't like the halloweight story. I

634
00:34:30,680 --> 00:34:30,960
Speaker 1: think it.

635
00:34:32,160 --> 00:34:35,319
Speaker 3: I feel like they should have got two different color umbrellas.

636
00:34:36,920 --> 00:34:40,680
Speaker 2: Well. They were clear, they were just clear, oh okay,

637
00:34:40,760 --> 00:34:42,680
Speaker 2: and then you could kind of see us in between.

638
00:34:42,719 --> 00:34:44,400
Speaker 2: And then we had that we could see through it.

639
00:34:44,520 --> 00:34:46,800
Speaker 3: What's coming off of them streamers or something?

640
00:34:46,960 --> 00:34:50,000
Speaker 2: Streamers. Yeah, and then we had lights so they would

641
00:34:50,040 --> 00:34:50,920
Speaker 2: light up a little bit.

642
00:34:51,760 --> 00:34:55,640
Speaker 3: Oh okay, huh what kind of lights?

643
00:34:57,600 --> 00:35:00,120
Speaker 2: Blue lights, like kind of like Christmas ey light.

644
00:35:00,480 --> 00:35:04,880
Speaker 3: Christmas lights. Okay, Oh gosh. I would have loved to

645
00:35:04,920 --> 00:35:08,520
Speaker 3: work on it with you. It sounds really close to

646
00:35:08,600 --> 00:35:13,520
Speaker 3: something great. Yeah, you know what I'm picturing, you know,

647
00:35:13,600 --> 00:35:19,200
Speaker 3: the like glow necklaces and stuff. Imagine that because they

648
00:35:19,239 --> 00:35:21,560
Speaker 3: do have kind of a ring in them almost some

649
00:35:21,640 --> 00:35:24,800
Speaker 3: of the jellyfish and you get the glowing ring. And

650
00:35:24,920 --> 00:35:28,839
Speaker 3: you could have also done two different colors. Yeah, might

651
00:35:28,920 --> 00:35:30,120
Speaker 3: have been nice.

652
00:35:31,080 --> 00:35:33,200
Speaker 1: Trying to figure out. Sorry, what's got the computer so

653
00:35:33,320 --> 00:35:33,960
Speaker 1: pissed off?

654
00:35:34,360 --> 00:35:34,759
Speaker 3: Uh huh?

655
00:35:35,400 --> 00:35:37,280
Speaker 1: I think it was. Did you say you put big

656
00:35:37,320 --> 00:35:40,640
Speaker 1: eyes on the jellyfish? Okay, that's what it was.

657
00:35:40,840 --> 00:35:43,920
Speaker 3: That not what we associate with jellyfish.

658
00:35:44,280 --> 00:35:45,280
Speaker 2: They just.

659
00:35:49,440 --> 00:35:57,040
Speaker 1: Do not have them, do not have those might as

660
00:35:57,080 --> 00:35:59,080
Speaker 1: well add a very defined spine.

661
00:35:59,560 --> 00:35:59,880
Speaker 2: Yes.

662
00:36:00,120 --> 00:36:04,359
Speaker 3: At that point, computer just completely ignoring the actual pology.

663
00:36:04,480 --> 00:36:07,040
Speaker 1: I get it, Okay, computer, and the computer is able

664
00:36:07,080 --> 00:36:10,160
Speaker 1: to deduce from what you're saying. You know, it's like

665
00:36:10,200 --> 00:36:12,880
Speaker 1: a smart an AI, and it's able to deduce that

666
00:36:12,920 --> 00:36:15,000
Speaker 1: you did not look slimy.

667
00:36:15,680 --> 00:36:19,479
Speaker 2: No, we were so yeah, dry as well the whole time.

668
00:36:19,600 --> 00:36:24,120
Speaker 3: Yeah, so you're dead. I mean I guess that's Halloween, right.

669
00:36:24,360 --> 00:36:27,640
Speaker 2: Well, I would just drive. I tried to sort of

670
00:36:27,719 --> 00:36:29,800
Speaker 2: move the umbrella up a little bit, like I was

671
00:36:29,880 --> 00:36:33,160
Speaker 2: kind of floating in the water. But then I was like,

672
00:36:33,280 --> 00:36:36,840
Speaker 2: nobody's looking at me that carefully doing this little act

673
00:36:36,880 --> 00:36:38,239
Speaker 2: of jellyfish.

674
00:36:38,280 --> 00:36:42,640
Speaker 3: But then who, like who is it for? Like it's

675
00:36:42,719 --> 00:36:46,480
Speaker 3: like only for an audience you're willing to commit to

676
00:36:46,520 --> 00:36:47,600
Speaker 3: something like that, Like.

677
00:36:47,600 --> 00:36:50,200
Speaker 1: I don't love that from an artist too.

678
00:36:50,239 --> 00:36:54,239
Speaker 3: I respect that you're going like, oh, yeah, I just

679
00:36:54,400 --> 00:36:57,240
Speaker 3: only do it for like the adoration of a crowd.

680
00:36:57,360 --> 00:36:59,960
Speaker 2: So I should just be committing to being a jelly

681
00:37:00,080 --> 00:37:04,160
Speaker 2: fish the whole time, no matter what I think, because there's.

682
00:37:04,000 --> 00:37:06,840
Speaker 3: An argument that your life is actually only comprised of

683
00:37:06,880 --> 00:37:08,280
Speaker 3: the art that you leave behind.

684
00:37:08,400 --> 00:37:08,799
Speaker 2: Mm hmm.

685
00:37:09,120 --> 00:37:16,719
Speaker 3: And uh for you to say that it's only for

686
00:37:16,840 --> 00:37:20,360
Speaker 3: some sort of external reward and that you're not actually

687
00:37:20,960 --> 00:37:24,560
Speaker 3: committing to it because you feel, you know, inside of

688
00:37:24,600 --> 00:37:28,280
Speaker 3: you that you need to express yourself in some way. Uh,

689
00:37:28,480 --> 00:37:29,799
Speaker 3: it's disappointing, you know.

690
00:37:30,719 --> 00:37:33,520
Speaker 1: Peter's not loving it. Yeah, sorry, did I missed that?

691
00:37:33,560 --> 00:37:39,200
Speaker 1: Exactly what he said? Wait a minute, what did you say?

692
00:37:39,480 --> 00:37:40,080
Speaker 1: You said that you?

693
00:37:41,480 --> 00:37:44,520
Speaker 3: Yeah, say it again for Hayes, because I couldn't believe

694
00:37:44,560 --> 00:37:45,520
Speaker 3: my fucking ears.

695
00:37:45,719 --> 00:37:47,840
Speaker 2: Well, all I was saying is that I just I

696
00:37:47,880 --> 00:37:51,520
Speaker 2: didn't I wasn't committing super hard to the jellyfish motion

697
00:37:51,680 --> 00:37:54,040
Speaker 2: the whole time, just because you know, it's like, who's

698
00:37:54,200 --> 00:37:57,319
Speaker 2: nobody's really this isn't really about me tonight. It's just

699
00:37:57,360 --> 00:38:02,080
Speaker 2: about Halloween and just trying to have the kids have

700
00:38:02,080 --> 00:38:03,160
Speaker 2: a nice time, And.

701
00:38:03,160 --> 00:38:07,960
Speaker 1: Okay, then what so if it were about you, then

702
00:38:08,040 --> 00:38:10,279
Speaker 1: you would have committed to the jellyfish motion. Like this

703
00:38:10,360 --> 00:38:12,880
Speaker 1: is what I don't understand, Like, yeah, it's about Halloween,

704
00:38:12,960 --> 00:38:16,200
Speaker 1: it's about the kids having a good time, right, And

705
00:38:16,239 --> 00:38:25,600
Speaker 1: then they're watching this dry ass, big eyed jellyfish stiffly

706
00:38:26,440 --> 00:38:32,799
Speaker 1: plotting down the block. This mermaid is just like trying

707
00:38:32,800 --> 00:38:38,879
Speaker 1: to pretend she's never met you before. So dry, crackling,

708
00:38:39,120 --> 00:38:40,360
Speaker 1: dry jellyfish.

709
00:38:41,360 --> 00:38:45,320
Speaker 3: Oh man, was the wife doing some kind of motion

710
00:38:46,520 --> 00:38:49,400
Speaker 3: or also just clamping around like.

711
00:38:51,760 --> 00:38:54,400
Speaker 2: She was. I wouldn't say she was clamping. She was

712
00:38:54,440 --> 00:38:55,200
Speaker 2: trotting around.

713
00:38:56,360 --> 00:39:02,320
Speaker 1: She was trotting. Trotting great, like a cheish something.

714
00:39:02,680 --> 00:39:06,880
Speaker 3: Yeah, the trotting jellyfish.

715
00:39:07,040 --> 00:39:11,319
Speaker 2: We didn't have sex or try to have sex with

716
00:39:11,400 --> 00:39:14,720
Speaker 2: anybody else while we were out there. Does that help anything?

717
00:39:15,800 --> 00:39:19,040
Speaker 3: That's yeah, okay, that's my favorite part of the story

718
00:39:19,200 --> 00:39:22,359
Speaker 3: so far. Yeah, Halloween, you.

719
00:39:22,320 --> 00:39:24,920
Speaker 2: Never know, right, and we were trying to guess, like,

720
00:39:25,719 --> 00:39:32,040
Speaker 2: you know what what some of the other kids costumes were.

721
00:39:32,480 --> 00:39:35,319
Speaker 3: Uh huh, okay, you couldn't tell what they were.

722
00:39:35,800 --> 00:39:39,799
Speaker 2: I don't know where I was going somewhere, and then

723
00:39:39,800 --> 00:39:46,000
Speaker 2: I got scared. Sure. Yeah, like so I switched it

724
00:39:46,040 --> 00:39:47,520
Speaker 2: to another thing. It wasn't as good.

725
00:39:48,719 --> 00:39:53,319
Speaker 3: Yeah, you were offensively trying to guess like the race

726
00:39:53,360 --> 00:39:55,239
Speaker 3: and gender of other people beneath their con.

727
00:39:55,600 --> 00:39:58,640
Speaker 2: That's not what I was going to. I was gonna say.

728
00:39:58,640 --> 00:40:00,840
Speaker 2: We were walking around the neighborhood going what type of

729
00:40:00,840 --> 00:40:03,400
Speaker 2: people do you think live in this house? I was

730
00:40:03,760 --> 00:40:06,759
Speaker 2: I just simply don't want to do this about this

731
00:40:07,320 --> 00:40:09,719
Speaker 2: right when I got here, and now I don't want

732
00:40:09,719 --> 00:40:10,920
Speaker 2: to actually be doing that.

733
00:40:11,040 --> 00:40:13,759
Speaker 3: No, no, no, having no filter in a sort of

734
00:40:13,760 --> 00:40:15,719
Speaker 3: way that it feels like you're kind of touching the

735
00:40:15,719 --> 00:40:16,920
Speaker 3: third rail performance.

736
00:40:17,040 --> 00:40:20,920
Speaker 2: Oh yeah, it makes me I'm trying to.

737
00:40:20,840 --> 00:40:25,360
Speaker 3: Yeah, you're protecting yourself with pillows and just broken the sweat.

738
00:40:25,040 --> 00:40:25,560
Speaker 2: A little bit.

739
00:40:26,000 --> 00:40:26,480
Speaker 1: Yeah.

740
00:40:26,920 --> 00:40:27,840
Speaker 3: No, we don't have to.

741
00:40:27,960 --> 00:40:33,520
Speaker 2: I don't do that because he'll get these dead worms.

742
00:40:35,080 --> 00:40:37,600
Speaker 3: Yeah, but we're at the second rate bait shots.

743
00:40:37,680 --> 00:40:41,960
Speaker 2: The Catholics. Uh so sure, you know.

744
00:40:42,000 --> 00:40:44,240
Speaker 3: They're unusual, I can admit it.

745
00:40:44,960 --> 00:40:50,440
Speaker 2: And and even and even the Episcopalians too, whoa.

746
00:40:50,239 --> 00:40:53,200
Speaker 3: Okay, So I haven't seen anybody go after them, but

747
00:40:53,280 --> 00:40:54,200
Speaker 3: this is what I've.

748
00:40:54,040 --> 00:40:54,960
Speaker 1: Heard in the back.

749
00:40:59,320 --> 00:41:04,680
Speaker 2: Yeah, every every one.

750
00:41:04,560 --> 00:41:06,399
Speaker 3: Of these they've got, they've gotten enough.

751
00:41:07,640 --> 00:41:10,520
Speaker 2: You know who's I'm getting sick of is these people

752
00:41:10,560 --> 00:41:17,520
Speaker 2: that are like Italian, American and also Irish and then German,

753
00:41:18,400 --> 00:41:20,920
Speaker 2: only not really that much German, but.

754
00:41:21,080 --> 00:41:25,240
Speaker 3: The Swiss a little high heighty as well. Yeah, shout

755
00:41:25,239 --> 00:41:26,319
Speaker 3: out John Cabris.

756
00:41:27,000 --> 00:41:27,880
Speaker 2: Okay, we have this.

757
00:41:28,160 --> 00:41:30,719
Speaker 1: No, but I said, Hi has a podcast called High

758
00:41:30,719 --> 00:41:31,440
Speaker 1: and Mighty.

759
00:41:31,600 --> 00:41:33,279
Speaker 2: Oh yeah, no, I have been on it.

760
00:41:33,400 --> 00:41:36,040
Speaker 3: Yeah, I was on it too, twenty five years ago.

761
00:41:37,480 --> 00:41:42,120
Speaker 1: Whatever we have time, I I we could use just

762
00:41:42,160 --> 00:41:45,760
Speaker 1: a doll up of Christmas.

763
00:41:46,760 --> 00:41:47,480
Speaker 2: Christmas stuff.

764
00:41:48,239 --> 00:41:49,920
Speaker 1: Yeah, just yes, because we are.

765
00:41:50,040 --> 00:41:53,359
Speaker 3: It's sort of our big like multi holiday episode at

766
00:41:53,360 --> 00:41:56,160
Speaker 3: this point. And uh, to touch on Christmas we go

767
00:41:56,239 --> 00:41:58,040
Speaker 3: because I don't know when this is being released either

768
00:41:58,239 --> 00:42:00,759
Speaker 3: or if it's being released, right, might just be for

769
00:42:00,800 --> 00:42:01,320
Speaker 3: the computer.

770
00:42:02,800 --> 00:42:08,399
Speaker 2: Okay. Christmas that changed my life was when I went

771
00:42:08,440 --> 00:42:12,240
Speaker 2: down to Chinatown and got a gift from a strange man.

772
00:42:16,040 --> 00:42:22,160
Speaker 3: Okay, okay, well, any specifics around the gift give you now.

773
00:42:22,239 --> 00:42:25,719
Speaker 2: The thing that really sticks out in my mind is

774
00:42:25,800 --> 00:42:32,640
Speaker 2: going down to Chinatown and it was no I do

775
00:42:32,680 --> 00:42:35,200
Speaker 2: remember the gift of course as well. It was a pet.

776
00:42:35,560 --> 00:42:39,960
Speaker 3: Oh my god. Okay, yeah, any restrictions on how the

777
00:42:40,000 --> 00:42:41,120
Speaker 3: pet had to be treated.

778
00:42:41,600 --> 00:42:45,319
Speaker 2: Yes, the pet had rules with it, as all pets do.

779
00:42:45,400 --> 00:42:47,879
Speaker 3: I think, sure, Yeah, anybody, even if you've just got

780
00:42:47,920 --> 00:42:50,040
Speaker 3: a dog or cat, feed them twice a day or

781
00:42:50,080 --> 00:42:52,560
Speaker 3: they need this much exercise. It's pretty normal to have

782
00:42:52,640 --> 00:42:56,600
Speaker 3: some rules. I get the sense these rules may have

783
00:42:56,640 --> 00:42:59,920
Speaker 3: been a little different from the ones I'm describing, though, Eh.

784
00:43:00,120 --> 00:43:03,080
Speaker 2: Well you said feed him twice a day, and basically

785
00:43:03,480 --> 00:43:06,880
Speaker 2: one of the rules here was don't feed them after midnight.

786
00:43:07,320 --> 00:43:08,840
Speaker 1: Well that's not so strange.

787
00:43:08,840 --> 00:43:11,279
Speaker 3: They want to be on a regular diet. If they're

788
00:43:11,320 --> 00:43:13,440
Speaker 3: getting snacks at midnight. Then all of a sudden they

789
00:43:13,440 --> 00:43:15,479
Speaker 3: start waking up in the middle of the night. Maybe

790
00:43:15,560 --> 00:43:17,359
Speaker 3: that's why, right they were.

791
00:43:17,400 --> 00:43:20,840
Speaker 1: And I'm speaky anyway, I mean, I'm not I'm not

792
00:43:20,920 --> 00:43:22,240
Speaker 1: doing shit after.

793
00:43:22,200 --> 00:43:25,680
Speaker 3: Oh no, I'm doing a big shoeshoe. I'm speaky as hell.

794
00:43:25,800 --> 00:43:29,200
Speaker 2: Yeah, I'm already in there. I'm already in the dream

795
00:43:29,320 --> 00:43:31,880
Speaker 2: realm at that point by the time I gets around,

796
00:43:31,880 --> 00:43:33,440
Speaker 2: So I'm certainly yeah, the.

797
00:43:33,440 --> 00:43:35,880
Speaker 3: Dream realm where I where I can act on some

798
00:43:35,960 --> 00:43:37,879
Speaker 3: of my repressed sexual fantasies.

799
00:43:38,560 --> 00:43:41,040
Speaker 1: Yep, So not an issue there, I guess. I'm curious,

800
00:43:41,080 --> 00:43:46,359
Speaker 1: what's the end uh limit on on that, like when

801
00:43:46,400 --> 00:43:48,279
Speaker 1: does when you start feeding? Yeah?

802
00:43:48,440 --> 00:43:49,760
Speaker 3: Yeah, always after midnight.

803
00:43:49,840 --> 00:43:53,319
Speaker 2: There wasn't any clarity from this man that I got

804
00:43:53,360 --> 00:43:59,040
Speaker 2: weird the pet from, so I assumed noon, but initially

805
00:43:59,120 --> 00:44:03,000
Speaker 2: I was so late. Well that's that was what I said.

806
00:44:03,320 --> 00:44:06,040
Speaker 2: Because he would get up and he'd be hungry and

807
00:44:06,080 --> 00:44:07,759
Speaker 2: he'd be telling me. He was like he could kind

808
00:44:07,760 --> 00:44:10,000
Speaker 2: of talk too, which was kind of what was really

809
00:44:10,080 --> 00:44:12,120
Speaker 2: interesting because I thought he was like some sort of

810
00:44:13,000 --> 00:44:15,719
Speaker 2: like bipedal like hamster sort of creature, but.

811
00:44:15,760 --> 00:44:16,560
Speaker 3: He could talk.

812
00:44:16,640 --> 00:44:19,439
Speaker 2: He was he was picking up English as we sort

813
00:44:19,440 --> 00:44:22,600
Speaker 2: of went along in our relationship with each other. But

814
00:44:22,800 --> 00:44:25,680
Speaker 2: he was definitely sort of whining. But he was whining

815
00:44:25,800 --> 00:44:28,880
Speaker 2: and crying for food at midnight too, So okay.

816
00:44:29,000 --> 00:44:29,480
Speaker 3: Interesting.

817
00:44:29,600 --> 00:44:33,640
Speaker 2: And then and I my dog could eat all day.

818
00:44:35,000 --> 00:44:37,760
Speaker 2: You can't put it on the animal for that, because

819
00:44:38,200 --> 00:44:40,480
Speaker 2: my dog will eat a NonStop.

820
00:44:40,680 --> 00:44:46,759
Speaker 1: We've got to be the sort of control for that.

821
00:44:47,000 --> 00:44:50,759
Speaker 3: The government, Yes, yes, we must, because they you know,

822
00:44:50,880 --> 00:44:53,919
Speaker 3: they don't have that internally in the wild. They would

823
00:44:53,920 --> 00:44:56,600
Speaker 3: be scrounging for whatever they could eat in and then

824
00:44:56,920 --> 00:45:00,360
Speaker 3: you know, gorging themselves when they had the opportunit unity.

825
00:45:00,560 --> 00:45:02,880
Speaker 3: Can I ask this because you mentioned a hamster, and

826
00:45:02,920 --> 00:45:06,120
Speaker 3: I know they can have a bit of an odor sometimes,

827
00:45:06,120 --> 00:45:07,960
Speaker 3: so you have to give them baths.

828
00:45:08,400 --> 00:45:10,839
Speaker 2: Did you give your animal a bath or was there

829
00:45:10,880 --> 00:45:15,319
Speaker 2: a rule that there is another rule related to this thing,

830
00:45:15,880 --> 00:45:18,480
Speaker 2: and it was that you couldn't get it wet.

831
00:45:18,680 --> 00:45:20,719
Speaker 1: Not wet getting.

832
00:45:22,000 --> 00:45:22,200
Speaker 5: Yeah.

833
00:45:22,280 --> 00:45:27,399
Speaker 3: That it reminds me of the jelly fish it Yeah.

834
00:45:27,480 --> 00:45:30,120
Speaker 1: Yeah, so interesting.

835
00:45:30,400 --> 00:45:33,920
Speaker 2: So dry shampoo and just sort of and you know,

836
00:45:34,880 --> 00:45:39,000
Speaker 2: brush them and stuff toothbrush. Yeah.

837
00:45:39,000 --> 00:45:42,440
Speaker 3: Wow, wow, those are all the rules. That's it, just

838
00:45:42,560 --> 00:45:46,160
Speaker 3: the two Well did you break the rules at all?

839
00:45:46,600 --> 00:45:47,080
Speaker 2: Yeah?

840
00:45:47,200 --> 00:45:51,640
Speaker 3: Okay, okay, interesting, this is becoming a good Christmas story.

841
00:45:51,840 --> 00:45:55,480
Speaker 2: The rules were broken? Yeah, I should say it was

842
00:45:55,760 --> 00:46:00,600
Speaker 2: it was Christmas time. Yeah, but really this could have

843
00:46:00,640 --> 00:46:01,840
Speaker 2: happened at any time.

844
00:46:02,360 --> 00:46:03,120
Speaker 3: Really, you would have.

845
00:46:03,080 --> 00:46:06,640
Speaker 1: Gone to get a gift at any time. Well, it

846
00:46:06,680 --> 00:46:09,440
Speaker 1: sounds a Christmas gift. It sounds like you just it

847
00:46:09,440 --> 00:46:11,400
Speaker 1: sounds like he just bought it for himself.

848
00:46:12,080 --> 00:46:15,840
Speaker 2: No, no, but he could have been a birthday.

849
00:46:15,440 --> 00:46:19,680
Speaker 3: For Okay, yeah, I don't know.

850
00:46:19,760 --> 00:46:22,360
Speaker 2: Forget that part of my life or so long ago

851
00:46:23,000 --> 00:46:26,839
Speaker 2: before Christmas, but it was thirty years ago, so.

852
00:46:26,800 --> 00:46:29,480
Speaker 3: It's like, was it a Christmas gift? Yeah, it could

853
00:46:29,520 --> 00:46:30,480
Speaker 3: have been a birthday.

854
00:46:30,120 --> 00:46:31,680
Speaker 2: Gift could have been a birthday gat I mean my

855
00:46:31,800 --> 00:46:36,560
Speaker 2: birthday is close to Christmas? Is that anything?

856
00:46:37,880 --> 00:46:39,759
Speaker 3: Yeah, that could be really good with the computer thing

857
00:46:39,800 --> 00:46:42,480
Speaker 3: about that birthday in your Christmas Boy you got jobs.

858
00:46:42,560 --> 00:46:46,560
Speaker 2: Oh boy. People want to try and sort of only

859
00:46:47,400 --> 00:46:50,200
Speaker 2: celebrate you the once.

860
00:46:50,320 --> 00:46:57,359
Speaker 1: The computer is listening to How Long Gone, it just feels, yeah,

861
00:46:57,480 --> 00:47:00,880
Speaker 1: you're familiar with that show that's been up a lot

862
00:47:00,920 --> 00:47:04,880
Speaker 1: and like big you know, Coastal Media.

863
00:47:05,480 --> 00:47:09,000
Speaker 3: It's trendy and it's talking about trendiness.

864
00:47:09,120 --> 00:47:13,080
Speaker 1: Yeah, exactly. It just makes you come away like feeling

865
00:47:13,120 --> 00:47:17,680
Speaker 1: a little better informed about like culture. It's a podcast

866
00:47:18,280 --> 00:47:23,200
Speaker 1: and the world. It's a podcast. Yes, uh and yeah.

867
00:47:23,239 --> 00:47:26,960
Speaker 1: The computer, I feel like feels like it has grown

868
00:47:27,120 --> 00:47:28,560
Speaker 1: out of our show a little bit.

869
00:47:28,680 --> 00:47:32,400
Speaker 3: We had them on once and one of the guys

870
00:47:33,000 --> 00:47:36,240
Speaker 3: we DMed a little bit afterwards, and the other guy

871
00:47:36,840 --> 00:47:39,799
Speaker 3: I've responded to on Twitter once or twice, and he

872
00:47:40,040 --> 00:47:43,560
Speaker 3: can't seem to see me. I don't know what it

873
00:47:43,640 --> 00:47:46,520
Speaker 3: is because I met I met both guys, and the

874
00:47:46,560 --> 00:47:49,000
Speaker 3: one you even want to talk and the other one

875
00:47:49,760 --> 00:47:50,960
Speaker 3: can't see or hear me.

876
00:47:51,600 --> 00:47:55,279
Speaker 1: I would try, and it's making me hungry for engagement

877
00:47:55,760 --> 00:47:58,640
Speaker 1: and all caps, hello with a bunch of question marks.

878
00:47:59,239 --> 00:48:02,160
Speaker 3: Okay, all right, that may be what it is that

879
00:48:02,200 --> 00:48:03,279
Speaker 3: I didn't start with that.

880
00:48:03,800 --> 00:48:08,879
Speaker 1: Mm hm cart before the horse, which one which one

881
00:48:08,920 --> 00:48:13,359
Speaker 1: can't see you Chris Orphan black.

882
00:48:13,680 --> 00:48:18,920
Speaker 3: Crisp black. Yeah, yeah, Orphan black. Yeah. Them jeans and

883
00:48:18,960 --> 00:48:22,000
Speaker 3: I seem to be like have a connection.

884
00:48:22,960 --> 00:48:28,879
Speaker 1: Yeah, he's the he's the face, he's the he's he's

885
00:48:28,920 --> 00:48:33,960
Speaker 1: the ambassad he's out, he's the right exactly.

886
00:48:33,520 --> 00:48:37,759
Speaker 3: The social element, well, you know, and that's you know, couples,

887
00:48:37,840 --> 00:48:41,719
Speaker 3: you always have that any pairing. It's like which one

888
00:48:41,880 --> 00:48:45,680
Speaker 3: I guess between Hayes and I and we won't be mad?

889
00:48:46,760 --> 00:48:48,279
Speaker 3: Do you think of as being.

890
00:48:48,080 --> 00:48:50,799
Speaker 2: That as being the face being the.

891
00:48:50,920 --> 00:48:56,640
Speaker 3: Yes, sort of the social lubricants, you know, and kind

892
00:48:56,680 --> 00:49:00,960
Speaker 3: of presenting to the world, you know, the face.

893
00:49:01,160 --> 00:49:07,520
Speaker 1: Okay, I found, I found, I found the guest. Oh,

894
00:49:08,239 --> 00:49:10,520
Speaker 1: just the code just slowed down for a second, I

895
00:49:10,520 --> 00:49:14,520
Speaker 1: guess because the computer got so speaky listening to that

896
00:49:14,680 --> 00:49:20,640
Speaker 1: last story. It slowed down. And it's the the the Mummy,

897
00:49:20,880 --> 00:49:26,400
Speaker 1: and the machine has revealed itself. It's Martha Kelly.

898
00:49:27,480 --> 00:49:29,879
Speaker 2: Martha Kelly from Baskets.

899
00:49:31,200 --> 00:49:36,040
Speaker 1: I would never have expected from just a lot of things. Yeah,

900
00:49:36,120 --> 00:49:37,400
Speaker 1: it's like so many things.

901
00:49:37,520 --> 00:49:39,799
Speaker 3: I'm not so eager to like define her

902
00:49:41,520 --> 00:49:46,200
Speaker 1: Yep by