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Speaker 1: From UFOs to psychic powers and government conspiracies. History is

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Speaker 1: riddled with unexplained events. You can turn back now or

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Speaker 1: learn the stuff they don't want you to know. A

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Speaker 1: production of iHeartRadio.

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Speaker 2: Hello, welcome back to the show. My name is Matt,

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Speaker 2: my name is Noel.

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Speaker 3: They called me Ben. We're joined as always with our

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Speaker 3: super producer Dylan the Tennessee pal Fagan. Most importantly, you

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Speaker 3: argue you are here. That makes this the stuff they

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Speaker 3: don't want you to know. If you are tuning in

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Speaker 3: to our strange news program, The Evening It publishes, let

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Speaker 3: us be the first to officially welcome you to Monday,

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Speaker 3: November twenty fourth, twenty twenty five. That's right, Happy Thanksgiving,

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Speaker 3: my fellow Americans.

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Speaker 4: Gobble gob as super producer Max would say.

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Speaker 3: You guys have Thanksgiving plans.

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Speaker 4: None this year for the first time in ages. My

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Speaker 4: kids going on a trip with their their partner and

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Speaker 4: my Yeah, all my family's doing their own things. So

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Speaker 4: I'm chilling. I'm excited.

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Speaker 3: We should hang out. Let's do it. Yeah, we can

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Speaker 3: do a friendsgiving thing.

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Speaker 2: What about you are great? I used to love the

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Speaker 2: friends giving things, like right out of right out of college.

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Speaker 2: That was a fun time.

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Speaker 4: Yeah, it was so cool.

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Speaker 3: There was a friend of the show named Andre who

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Speaker 3: for many years here here in Atlanta. I started calling

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Speaker 3: him the Mayor of Thanksgiving because it was a huge

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Speaker 3: Turkey turkey something.

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Speaker 4: Yes, Turkey Turkey Tuesday.

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Speaker 2: Are you saying you guys would have dinner with Andre?

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Speaker 4: Beautiful? One thing I am doing around the Thanksgiving season

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Speaker 4: is I'm going to Copenhagen to see the band Radiohead,

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Speaker 4: and so is Andre. Unrelated, but I just noticed on

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Speaker 4: instaut that he was going, and so we're going to

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Speaker 4: connect up. And he's going solo as well, so that'll

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Speaker 4: be kind of neat. That's funny that you mentioned Andre.

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Speaker 3: Yeah, I love that. I love the Christ out of

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Speaker 3: that guy. We're old friends from the comedy days in college. Noel,

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Speaker 3: I will give you one cheek code when you see him,

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Speaker 3: say hashtag no wolf.

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Speaker 4: Okay, I know he's all about the wolf thing.

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Speaker 3: Wife also also like the two wolves.

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Speaker 4: Right, him and his wife, they're always talking about the

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Speaker 4: wolf pack or something they've got.

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Speaker 3: I'm not at liberty to disclose, but but we are

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Speaker 3: able to say that if you are enjoying Thanksgiving repast,

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Speaker 3: you may be eating some cheese in your ritualistic meal,

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Speaker 3: and you may be hanging out with a celebrity because

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Speaker 3: our breaking news right now is that UTA has signed

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Speaker 3: Parmesan Reggiano as a new client. The cheese, the cheese.

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Speaker 4: They want to yeah, yeah, yes, yes, they want to

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Speaker 4: build an extended Parmesan universe. I imagine what are we talking?

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Speaker 3: Yeah, okay, Parmagado Reggiato Consortium. We talked a little bit

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Speaker 3: in the past about how, uh you know, the EU

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Speaker 3: has those mark of authenticity things similar to how parts

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Speaker 3: of Canada have a maple syrup cartel. Parmesan has its

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Speaker 3: own cartel out Italy Way and our friends at as

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Speaker 3: you said, Matt, the United Talent Agency, have officially signed

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Speaker 3: Parmesan as their newest protagonist.

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Speaker 4: Well, I guess our campaign worked.

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Speaker 2: So I don't get it.

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Speaker 4: Yeah, can you explain further, Ben, I really just don't

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Speaker 4: get it.

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Speaker 3: Yeah.

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Speaker 4: How can a talent agency sign a concept? Yeah?

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Speaker 3: So this is November nineteenth, when the News publishes, Oh

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Speaker 3: we're also recording on November nineteenth. Go to the Hollywood Reporter, folks,

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Speaker 3: you will find an article by Alex Weeprinten or Weaperon

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Speaker 3: which says the Pamagiano Reggiano Consortium has revealed that United

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Speaker 3: Talent Agency has signed the governing body for and this

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Speaker 3: is a quote, the King of Cheeses to get placed

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Speaker 3: in films, TV shows and streaming projects across the globe.

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Speaker 3: So it's going to be like the Wayne's World scene

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Speaker 3: where they're drinking what was it PEPSI.

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Speaker 4: Mm hmm, yeah, man, Why do people just they're always

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Speaker 4: selling out? You know, people doesn't do stuff as you

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Speaker 4: pay them money.

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Speaker 3: It's really sad. So picture that but with like a

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Speaker 3: wheel of parmesan, and Dana Carvey says, why are people

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Speaker 3: selling out?

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Speaker 4: Sorry, we're uh, we're towards the end of the year.

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Speaker 4: Does parmesan really need the help? It seems like its

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Speaker 4: reputation sort of precedes it, you know, especially the you

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Speaker 4: see it. You you go to the store, you see

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Speaker 4: the giant wheels, the unattainable wheels, and know that he

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Speaker 4: only gets your little chunk, you know, for twenty bucks

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Speaker 4: or whatever. I mean.

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Speaker 2: Have you ever gotten pizza, Well, then you know parmesan.

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Speaker 2: It's in that little glass thing you know that has

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Speaker 2: all the parmesan in it, and more and more lately

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Speaker 2: it's in those little packets.

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Speaker 4: You know parmesan Is that the shaky cheese you get

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Speaker 4: at the store of the craft. That's not you know,

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Speaker 4: that's a different breed of Parmesano.

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Speaker 3: And I want to point out, No, I love that

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Speaker 3: you said unattainable wheel and I think you just outlined

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Speaker 3: this amazing metaphor about the sissophia nature of existence. We

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Speaker 3: got one more heist before we get this strange news,

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Speaker 3: and that goes to none other than the Tennessee pal

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Speaker 3: As we were beginning our recording, Uh, Dylan, you revealed

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Speaker 3: to us that someone had their driveway stolen.

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Speaker 5: What Yeah, someone at their driveway stolen overnight. This headline

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Speaker 5: is stolen driveway leaves women on Rocky Road as she

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Speaker 5: tries to find out.

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Speaker 4: Who did it?

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Speaker 3: Not the ice cream?

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Speaker 2: Yeah, so crazy as a.

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Speaker 4: Real who done it?

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Speaker 5: As I gotta know local reeltor. She was trying to

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Speaker 5: flip a house and resell it. Potential buyers and their

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Speaker 5: agent called Batten to notify her that something was missing

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Speaker 5: from the home.

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Speaker 2: So like they picked it up and then took it.

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Speaker 5: There was a truck with a trailer, a dump truck

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Speaker 5: and a king cab truck hauling a back hoe and

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Speaker 5: they just I guess they just took it.

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Speaker 4: Was this a Was this an elaborate prank? Like, I

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Speaker 4: don't why would one do this? It seems like there

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Speaker 4: are easier ways to get concrete.

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Speaker 5: The owner thinks it might have been a mistake, but

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Speaker 5: it seems like something that you wouldn't mistake a whole driveway, you.

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Speaker 4: Know, repossessing the driveways for non payments. Did we steal

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Speaker 4: a driveway?

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Speaker 3: No, we mistakenly took another driveway, which, by the way,

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Speaker 3: was very hip hop of us.

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Speaker 4: So I plead the fifth element. It'd be ashamed of

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Speaker 4: something happened to that driveway year.

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Speaker 3: I plead the fifth element of hip hop.

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Speaker 4: That's for like twelve people.

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Speaker 2: WHOA, I know that movie.

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Speaker 3: It's a movie.

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Speaker 2: I'm trying to imagine the conversation of the like the

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Speaker 2: crew that was out there. I'm like, all right, guys,

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Speaker 2: I know this is a crazy job, but we got

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Speaker 2: to take this driveway. That's what boss said. So lifting

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Speaker 2: it up.

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Speaker 3: And the guy with the backo was like, what last job?

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Speaker 4: I'm twelve with it.

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Speaker 3: I love when somebody says what last job? So right

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Speaker 3: in with your best write in or call in with

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Speaker 3: your best version of that. Folks, we gotta pause for

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Speaker 3: a word from our sponsors. We have so much stuff

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Speaker 3: to cover. We're going to talk about excellent bus driving.

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Speaker 3: We're going to catch up with some ai stuff, a

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Speaker 3: little bit of trade craft, some weird investment things, some

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Speaker 3: first kisses actually. But before we get to any of that,

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Speaker 3: when we return, we have some raccoon news.

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Speaker 6: Raccoon newss okay, and we have returned guys.

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Speaker 3: Remember raccoons.

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Speaker 4: Yeah, those little fellas, the cute faces and creepy hands.

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Speaker 3: Yeah, they're always scheming. In a recent episode of Ridiculous History,

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Speaker 3: we covered the idea of raccoons as invasive species in

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Speaker 3: Japan and how they're different from the tanuki. Uh spoiler Uh.

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Speaker 3: The tanuki balls is a thing like the scrotum sack

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Speaker 3: of the tanuki is.

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Speaker 4: It's like that's they're like the Harlem globe trotter. They

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Speaker 4: can just summon tools and implements from the scrotus. Yeah,

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Speaker 4: they can convert them to parachutes, you know, flying devices,

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Speaker 4: use them as lassus.

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Speaker 3: Yes, yeah, you get in situations, right, Matt, Are you

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Speaker 3: familiar with us the tanuki balls thing?

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Speaker 2: And no I in my recollection of tanuki they can

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Speaker 2: turn into stone if you hold down and get the

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Speaker 2: B button right, and then I think they can flip

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Speaker 2: their tails and let you hover a little bit, or

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Speaker 2: at least a glide.

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Speaker 3: Yeah, yeah, slowly glide down, not really lean.

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Speaker 4: Into the ball sack factor.

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Speaker 3: In the Mario universe, they weren't there yet. The video

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Speaker 3: game techn the public wasn't ready. It could also be there.

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Speaker 3: We are.

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Speaker 4: Yeah, they're too far ahead of their type.

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Speaker 3: So we have a longstanding fascination with the concept of domestication.

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Speaker 3: Very few animals, non human animals have been domesticated. Do

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Speaker 3: check out our early your episodes on things like Life

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Speaker 3: after Humans, our conversations about the Fennik fox experiment to

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Speaker 3: domesticate the fox back in Russia. Now, as we as

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Speaker 3: we learned recently thanks to Scientific American shout out to

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Speaker 3: the journalist Marina Wang, raccoons in urban environments are showing

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Speaker 3: early signs of domestication.

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Speaker 2: Right.

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Speaker 4: We're an audio podcast right now, So just so you're.

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Speaker 3: Not hard, no matter nodding so hard, because we've been

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Speaker 3: waiting for the wide eyes.

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Speaker 2: There's a massive influx of human beings that have raccoons

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Speaker 2: just hanging out in their house. Yes, and like, and

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Speaker 2: they seem super chill. They were living in my house recently.

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Speaker 2: I'm actually having to get a tiny part of my

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Speaker 2: roof taken out because raccoons had been living in there

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Speaker 2: apparently for years before I moved in, and the previous

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Speaker 2: owners didn't even know about it or care, I guess,

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Speaker 2: but they just were hanging out in this little piece

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Speaker 2: of roof.

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Speaker 3: Yeah. Oh man, I hope it goes well, and I

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Speaker 3: hope they're not harming you and your loved ones. Are

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Speaker 3: They just sort of sneaking and scheming and like doing

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Speaker 3: weird stuff with their little hands.

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Speaker 4: Exactly rubbing them together in anticipation.

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Speaker 2: I'm not kidding. So the way I found out is

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Speaker 2: that they were They would climb up my patio and

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Speaker 2: then climb up to the roof of that patio.

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Speaker 4: Bit of a shimmy, but you would catch them.

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Speaker 2: They would just be sitting there, just standing on the patio,

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Speaker 2: just going huh yeah, and then just climb right up,

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Speaker 2: just like not scared anything, not worried about you.

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Speaker 4: I'm pretty certain I mentioned this in the pot, But

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Speaker 4: I grew up with a guy whose parents worked in

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Speaker 4: animal conservation and they had a pet raccoon that they

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Speaker 4: you know, a house, a house raccoon. Uh, this is

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Speaker 4: this is weird.

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Speaker 3: A group of raccoons is called a gaze.

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Speaker 4: It's a weird one.

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Speaker 3: So it's a gaze of raccoons. And our longtime friend

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Speaker 3: of the show, Hally Frye, for for some time she

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Speaker 3: had a gaze of raccoons in her backyard. And there's something,

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Speaker 3: there's something strange here because we know, okay, we know

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Speaker 3: cats domesticated themselves. We know the human and the dog

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Speaker 3: sort of co domesticated each other another, right, yeah, and

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Speaker 3: of course casts.

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Speaker 4: Didn't need us for a damn thing. That tracks no,

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Speaker 4: right exactly.

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Speaker 3: And we also so what do we mean when we

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Speaker 3: say that raccoons are showing early signs of domestication. Well,

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Speaker 3: we know that there are certain traits that would typically

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Speaker 3: be juvenile traits for a mammal that carry on into adulthood.

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Speaker 3: So a recent study found that the raccoons are getting

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Speaker 3: shorter snouts, smaller heads, bigger floppy ears, retaining fur, and

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Speaker 3: also losing apprehension toward human presence. I think it's I

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Speaker 3: think it's kind of nuts because if we go to

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Speaker 3: the University of Arkansas, a little rock we'll see the

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Speaker 3: biologist Raphaelia Lesh, who led the study. She says it

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Speaker 3: goes back to the trash quote. One thing about us

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Speaker 3: humans is that wherever we go, we produce a lot

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Speaker 3: of trash.

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Speaker 4: About the quality of the trash? Ben is it getting

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Speaker 4: better there?

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Speaker 3: I don't know, you guys, it better trash. That's our

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Speaker 3: other tagline, better trash. So the issue here is that

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Speaker 3: similar to the first wolves that learn to acclimate to humans, right,

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Speaker 3: even similar to the rat, which is a different conversation.

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Speaker 3: I guess the rat who benefits as an omnivorous scavenger

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Speaker 3: from the presence of human beings. And look, make no mistake, folks,

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Speaker 3: if you haven't seen a raccoon in real life, they

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Speaker 3: are way faster than they appear. They are way more agile.

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Speaker 3: They look like chonky boys, but they will straight up

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Speaker 3: howls a trash can and then fly across a tree.

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Speaker 3: It's wild.

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Speaker 2: They don't look like they're as agile like if you

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Speaker 2: see one up close and in person, especially if you

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Speaker 2: see the videos of the raccoons that hang out in

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Speaker 2: houses on TikTok, you know those are some chunks, some chalkers.

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Speaker 3: It's like a sumo wrestler suddenly doing parkouraly, which is

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Speaker 3: no ding on sumo wrestlers are.

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Speaker 4: They're light on their feet despite their chunk. That's sort

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Speaker 4: of part of the deal is you got to be

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Speaker 4: a little bit fleet footed, and uh, there's a balletic

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Speaker 4: quality to good suma athletic.

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Speaker 3: So we know now that this may function as a

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Speaker 3: parable in the future. Right, the fact that the anthrops

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Speaker 3: scene or the age of the human is affecting so

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Speaker 3: many environments. You guys know, I'm trying to be more

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Speaker 3: positive right toward the end of the year, so you

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Speaker 3: can do it, thanks, man. I'm thinking that it is

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Speaker 3: possible we may reach a new renaissance of domestication, right,

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Speaker 3: what about raccoons becoming domesticated? What about our meadillos, opossums,

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Speaker 3: maybe even congress.

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Speaker 4: Well it's funny too, because I mean it takes some

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Speaker 4: time for signs of domestication. I mean it is a

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Speaker 4: it's a form of evolution, right, I mean to actually

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Speaker 4: clock real change. I mean typically that doesn't happen in

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Speaker 4: the span of one human lifetime.

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Speaker 3: Right. Yeah, Yeah, that's a great way to put it,

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Speaker 3: because typically evolution is evolution is like a brute force hack. Right.

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Speaker 3: Not everything is going to work, and a lot of

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Speaker 3: mistakes will be made, so there will be a mutation

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Speaker 3: or an environmental pressure that ninety nine percent of the

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Speaker 3: time is terrible. Every so often you win the lottery,

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Speaker 3: you get stuff like thumbs, right, or you get stuff.

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Speaker 4: Like chromatophores in the octopus.

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Speaker 3: You have something like your first kiss, which is an

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Speaker 3: awkward segue. But do you guys remember your first kiss?

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Speaker 4: It's okay if you don't want to talk about it. Yeah,

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Speaker 4: but now I can remember a time in my life

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Speaker 4: where it occurred, but I don't know that I have

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Speaker 4: a distinct memory of the very first one. I do

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Speaker 4: cool too, Ah, love it.

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Speaker 3: You keep your secrets to you, So that's what you

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Speaker 3: said to her. I think everybody has or I hope,

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Speaker 3: we hope everybody has a meaningful moment like that in

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Speaker 3: your life.

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Speaker 2: Right.

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Speaker 3: And of course, as we get towards the end of

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Speaker 3: the year, we tend to become a little more nostalgic.

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Speaker 3: We tend to reflect a bit on the past and

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Speaker 3: maybe think about the future. And so it may be

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Speaker 3: this is not breaking news, perhaps, but it's just something

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Speaker 3: nice we wanted to share with everybody. On November nineteenth,

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Speaker 3: the University of Oxford and the Florida Institute of Technology

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Speaker 3: published a paper that says, yes, we found something like

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Speaker 3: the first kiss. It dates back twenty one million years.

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Speaker 4: Wow right, Yeah, it's funny too. You ever think about,

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Speaker 4: like just the nature of what a kiss is.

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Speaker 3: Like.

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Speaker 4: It's one of those things where someone had to be

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Speaker 4: the first one to like do that odd, slightly odd

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Speaker 4: thing that we now accept as a normal, you know,

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Speaker 4: sign of affection.

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Speaker 2: It's very weird. I'm confused. It's my understanding that a

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Speaker 2: kiss is a little thing that you put on your

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Speaker 2: thumb when you're sewing.

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Speaker 3: I thought that was called a thimble. Oh yeah, so

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Speaker 3: with uh, let's continue the sewing circle. I like this, So, uh,

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Speaker 3: kissing is a very weird thing, right. If we remove

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Speaker 3: ourselves we are extra terrestrials or extra dimensional entities, and

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Speaker 3: we go to terra, we go to planet Earth, and

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Speaker 3: we see people who really like each other just smacking

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Speaker 3: their mouths on each other's mouths, then we would say, why,

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Speaker 3: what gives? Apparently it predates Homo sapiens. Apparently it is

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Speaker 3: proven to exist in earlier primates and apes, and as

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Speaker 3: well it existed in Neanderthals. We know that Neanderthal and

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Speaker 3: modern humans probably kissed if we could tell this because

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Speaker 3: there's shared oral microbes and also there's evidence of you know,

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Speaker 3: aggressive inter breeding and folks with that we uh, we'd

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Speaker 3: love to hear if you have a great kissing story,

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Speaker 3: And guys, I'd also like to think about what other

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Speaker 3: human actions are currently normalized but seem very weird to

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Speaker 3: an outsider, Like hugging is a kiss is a hug

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Speaker 3: with your mouth.

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Speaker 4: Right, and a dream is a wish your heart makes.

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Speaker 3: Yeah, so what's another what are some more human acting hands?

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Speaker 4: But it also is you know, it's a similar thing

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Speaker 4: where it's sort of like, let my human part interact

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Speaker 4: and touch in a familiar way your human part and

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Speaker 4: the mouth I guess is just you know, it's it's

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Speaker 4: much more close and personal and involves swapping fluids, which

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Speaker 4: is a sign of trust maybe, right. I don't know,

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Speaker 4: like if you if you want to boil it down

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Speaker 4: beyond just what the any titillating aspects of it, like

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Speaker 4: what does it represent?

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Speaker 2: Right?

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Speaker 4: It's about as close as you can get to somebody

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Speaker 4: pre like you know, procreating.

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Speaker 3: Yeah, it's an exchange of chemical information for sure. Right

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Speaker 3: to put it in cold scientific terms, it's it's also

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Speaker 3: not feeding each other, right, it's not regurgitating food, which

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Speaker 3: is a big difference.

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Speaker 2: And it's making me think about Pluribus. I just watched

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Speaker 2: the first two episodes.

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Speaker 4: What do you think, man.

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Speaker 2: Just talking about kissing over here?

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Speaker 3: Okay, yeah, yeah, and.

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Speaker 4: That's in that Not to spoil anything in that show,

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Speaker 4: but what it represents in that show is an outreach

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Speaker 4: and a positive interaction, right.

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Speaker 2: Or well, it's a transfer.

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Speaker 4: It's a transfer, but it's also it's hidden within this

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Speaker 4: familiar kind of act of kindness of like, you know,

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Speaker 4: reaching out and showing that I see you, and like

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Speaker 4: I want to commune with you in some way, not

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Speaker 4: igu I see you. That's right.

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Speaker 3: One last thing, folks, before we moved to our next act.

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Speaker 3: The Cambridge Dictionary has published their word of the Year.

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Speaker 3: Can we guess? I think we all saw the notes,

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Speaker 3: but can we guess?

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Speaker 4: Oh gosh, we kind of went through the brain rot

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Speaker 4: stuff last year.

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Speaker 3: Yeah, what would it be?

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Speaker 4: I'm guessing maybe something related to politics.

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Speaker 3: I don't know. I'm judges. We'll accept it. The Cambridge

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Speaker 3: Dictionary Word of the year as of November eighteenth, the

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Speaker 3: day before we recorded this is parasocial. Oh we use

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Speaker 3: it all the time. Yeah, an imaginary kiss to someone

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Speaker 3: you haven't met or maybe briefly met. I don't know, man,

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Speaker 3: We talked about parasocial, We talked about words well pretty

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Speaker 3: often on the show six seven as a phrase had

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Speaker 3: its time in the sun. We're in active conversations with

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Speaker 3: our pal Michael Render and Ramsey yun to over at

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Speaker 3: conversate to make that a word, to get it in

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Speaker 3: the in the OED in the Oxford English Dictionary. And

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Speaker 3: I got to ask you, guys, what do you think

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Speaker 3: is that a good word to.

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Speaker 4: Be the word of the year.

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Speaker 3: Yeah, I don't.

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Speaker 4: I don't quite understand why it's only just popping up

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Speaker 4: this year. We've been talking about parasocial relationships for you know,

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Speaker 4: a long long time. Comes up with podcasts all the times,

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Speaker 4: This idea that it's someone that you spend time with

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Speaker 4: you don't actually know. What do you think? What do

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Speaker 4: you think the news hook is? Guys? Why is it

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Speaker 4: particularly zeitgeisty? At least according to the Cambridge.

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Speaker 3: Folks, it may be partially due to to your question.

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Speaker 3: The zeitgeisty question. It may be partially due to the

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Speaker 3: American deification of celebrities like Taylor Swift and you know

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Speaker 3: her boo thing the guy she kisses guy named Travis kelcey,

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Speaker 3: but you absolutely nail the guy. The term dates back

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Speaker 3: to nineteen fifty six. The definition is a relationship felt

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Speaker 3: by someone between themselves and then a public figure they

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Speaker 3: don't personally know. The chief editor over there at Cambridge

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00:23:14,440 --> 00:23:19,399
Speaker 3: is a guy named Colin McIntosh, and he said, look,

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00:23:19,480 --> 00:23:22,280
Speaker 3: this was an academic word for a long time. It

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Speaker 3: was confined to the academic sphere for quite some time,

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Speaker 3: but now it has made a shift into popular language.

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Speaker 3: It's one of those words that may have been influenced

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Speaker 3: by social media well.

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Speaker 4: For sure, but I think that's been happening for a

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Speaker 4: long time. I bet given a little time, we could

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Speaker 4: come up with some more relevant words. And I feel

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Speaker 4: like we've been saying parasocial for a long time. And

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Speaker 4: maybe where I'm coming of this from a place of

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Speaker 4: our you know, participation in social media and podcasting, and

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Speaker 4: maybe it's a little more bubble. But yeah, can you

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Speaker 4: guys think of any more relevant words?

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Speaker 3: Yeah, Matt, you got one, I've got one.

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Speaker 2: Well, here's the question. Can be word of the year,

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Speaker 2: be a phrase or like two words with one yes

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Speaker 2: meaning yes.

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Speaker 3: I mean it depends on whether it's Cambridge or oed

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Speaker 3: or Webster Merriam, but yes.

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Speaker 2: Basically, Okay, well I think the phrase of the year

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Speaker 2: is circular investment.

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Speaker 3: Now that's what we call a segue. We're gonna pause

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Speaker 3: for a word from our sponsors and we'll be back

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Speaker 3: with more strange news.

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Speaker 4: All right, and we have returned with some more of

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Speaker 4: the strangest of news is I'm gonna lead with a

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Speaker 4: quick one that's fun. The story itself, I don't know

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Speaker 4: is that if it's that interesting, but it led me

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Speaker 4: down an interesting rabbit hole. A bar owner in the

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Speaker 4: UK in Altrisham, Greater Manchester has made a little bit

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Speaker 4: of a kerfuffle there locally by banning solo drinkers from

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Speaker 4: his establishment to place Russians. Me sure, yeah, yeah, and Matt,

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Speaker 4: well we're going to get to Russians in a minute.

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Speaker 4: But yeah, just the idea of like an individual showing

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Speaker 4: up to the bar without a group and you know,

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00:25:16,800 --> 00:25:18,720
Speaker 4: siling up to the bar and you know, having a

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Speaker 4: few adult beverages without any company. The owner of a

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Speaker 4: cocktail in karaoke bar where solo drinkers are banned. This

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Speaker 4: is from the BBC says he is baffled by the

441
00:25:29,920 --> 00:25:32,800
Speaker 4: furior it has caused on social media, as the policy

442
00:25:32,960 --> 00:25:36,800
Speaker 4: is for the safety of all guests. Guy Carl Peters

443
00:25:37,160 --> 00:25:41,400
Speaker 4: said that the no single intrigue policy set after what's

444
00:25:41,400 --> 00:25:43,560
Speaker 4: twenty one hundred hours, y'all? I'm so bad at the

445
00:25:43,600 --> 00:25:46,600
Speaker 4: old twenty four hour clock nine pm? Nine pm? That

446
00:25:46,600 --> 00:25:49,120
Speaker 4: would be nine pm, got it? So after nine subtract

447
00:25:49,160 --> 00:25:52,960
Speaker 4: Well that's right, yeah, for sure. So after nine pm,

448
00:25:53,040 --> 00:25:55,360
Speaker 4: no one is allowed to come into this place on

449
00:25:55,520 --> 00:25:59,040
Speaker 4: his on their own. Peters told the BBC that it

450
00:25:59,119 --> 00:26:03,240
Speaker 4: was to mi to gate risk and protect his customers

451
00:26:03,280 --> 00:26:08,400
Speaker 4: from being quote mitherd, I love a Mithard mitherd. Y'all

452
00:26:08,720 --> 00:26:10,760
Speaker 4: solo drinkers. We're gonna get to that in a minute.

453
00:26:10,920 --> 00:26:13,840
Speaker 3: Also, it sounds like something happened, well it which it

454
00:26:13,880 --> 00:26:17,040
Speaker 3: does sound like that because his example is pretty specific.

455
00:26:17,280 --> 00:26:21,080
Speaker 4: Okay. He says there are two reasons that he introduced

456
00:26:21,080 --> 00:26:23,520
Speaker 4: the policy. Firstly, if someone on their own has a

457
00:26:23,560 --> 00:26:28,119
Speaker 4: seizure or an accident with no one with them quote

458
00:26:28,200 --> 00:26:31,200
Speaker 4: in a late night busy bar environment, it is an

459
00:26:31,200 --> 00:26:34,159
Speaker 4: absolute nightmare for us to deal with. Gonna guess that

460
00:26:34,280 --> 00:26:36,280
Speaker 4: something like this has happened a time or two. He

461
00:26:36,320 --> 00:26:38,480
Speaker 4: also noted that sometimes if you let people in on

462
00:26:38,520 --> 00:26:40,520
Speaker 4: their own, the reason why they're on their own is

463
00:26:40,520 --> 00:26:43,520
Speaker 4: that they don't have any friends. So there they begin

464
00:26:43,800 --> 00:26:45,120
Speaker 4: mithering the other.

465
00:26:45,160 --> 00:26:50,240
Speaker 2: Groups mithering, mithering, one of the boy or boys? What

466
00:26:50,320 --> 00:26:50,960
Speaker 2: is what we do?

467
00:26:51,080 --> 00:26:53,560
Speaker 4: We'll get to what we do as a venue is

468
00:26:53,600 --> 00:26:56,560
Speaker 4: we just eliminate that unless you're with a group, and

469
00:26:56,600 --> 00:26:59,600
Speaker 4: we know who you're with, then you're not coming in.

470
00:27:00,520 --> 00:27:01,560
Speaker 3: Peters added that he.

471
00:27:01,680 --> 00:27:05,440
Speaker 4: Took pride that his customers felt safe in his establishment

472
00:27:05,680 --> 00:27:09,399
Speaker 4: and was astounded that he got such pushback on social media,

473
00:27:09,480 --> 00:27:11,920
Speaker 4: with some people just saying that it was a discriminatory policy.

474
00:27:12,240 --> 00:27:13,919
Speaker 4: I guess if you could certainly look at it as

475
00:27:14,000 --> 00:27:16,920
Speaker 4: like he is discriminating against the friendless, you know, which,

476
00:27:17,480 --> 00:27:19,240
Speaker 4: which is certainly a group, y'all. And I actually saw

477
00:27:19,240 --> 00:27:22,320
Speaker 4: a thing pop up on social media earlier today about

478
00:27:22,320 --> 00:27:24,040
Speaker 4: the psychology of friendlessness.

479
00:27:24,080 --> 00:27:26,119
Speaker 3: So I'm gonna I'm gonna go back and look.

480
00:27:25,960 --> 00:27:29,199
Speaker 4: Into that because I oh true, Yeah, for sure, I

481
00:27:29,240 --> 00:27:31,080
Speaker 4: think it's around a study that just came out.

482
00:27:31,359 --> 00:27:35,320
Speaker 3: I'd love to read it. This also reminds me of

483
00:27:35,320 --> 00:27:40,159
Speaker 3: of restaurant culture in places like South Korea, where I

484
00:27:40,200 --> 00:27:44,600
Speaker 3: could I could totally see a bar there or even

485
00:27:44,600 --> 00:27:47,480
Speaker 3: a restaurant there say Nope, you got to move in

486
00:27:47,560 --> 00:27:47,960
Speaker 3: a group.

487
00:27:48,520 --> 00:27:51,320
Speaker 4: He can't be here solo. They do move in herds.

488
00:27:51,440 --> 00:27:54,000
Speaker 4: It's true. And actually I realized now that what I

489
00:27:54,040 --> 00:27:58,199
Speaker 4: saw was a video on YouTube on the Brain Snack

490
00:27:58,320 --> 00:28:01,840
Speaker 4: to Go channel called Psychology of People that Have No Friends.

491
00:28:01,880 --> 00:28:04,280
Speaker 4: So I'm gonna go back and give that one a look. See.

492
00:28:04,320 --> 00:28:08,359
Speaker 4: But yes, Matt, you did ask the twenty thousand pound question,

493
00:28:08,520 --> 00:28:11,280
Speaker 4: which is what is mithering? I think we could probably

494
00:28:11,400 --> 00:28:13,840
Speaker 4: use context clues and figure that out. It's just the

495
00:28:13,920 --> 00:28:17,560
Speaker 4: idea of bugging somebody. If you're a solo drinker, you

496
00:28:17,600 --> 00:28:20,120
Speaker 4: didn't come with any pals, you get a few in you,

497
00:28:20,480 --> 00:28:23,080
Speaker 4: maybe you start wandering around to other groups like our

498
00:28:23,119 --> 00:28:25,520
Speaker 4: buddy Cuba Gooding Junior. Just gonna leave that one on

499
00:28:25,560 --> 00:28:28,320
Speaker 4: the table there with no context. But that is a

500
00:28:28,359 --> 00:28:30,280
Speaker 4: thing that happened to Ben and I. We were mithered

501
00:28:30,520 --> 00:28:35,280
Speaker 4: by and he was solo drinking. And you know, if

502
00:28:35,280 --> 00:28:38,800
Speaker 4: anyone spent any amount of time in these late night

503
00:28:39,200 --> 00:28:44,360
Speaker 4: drinking establishments, I think we've probably all seen folks having

504
00:28:44,360 --> 00:28:49,040
Speaker 4: a bit of a bad time because of being harassed

505
00:28:49,080 --> 00:28:51,840
Speaker 4: by people who are there alone and maybe have don't

506
00:28:51,840 --> 00:28:53,920
Speaker 4: have anybody looking out for them to tell them they've

507
00:28:53,920 --> 00:28:57,000
Speaker 4: maybe had enough. That is technically the bartender's responsibility. But

508
00:28:57,480 --> 00:28:59,440
Speaker 4: you know, these people are busy, They're serving a lot

509
00:28:59,440 --> 00:29:01,640
Speaker 4: of folks and they can certainly fall through the cracks

510
00:29:01,720 --> 00:29:05,760
Speaker 4: in a very very busy night of customers.

511
00:29:05,680 --> 00:29:09,840
Speaker 3: Or they're not fluent in social cues right just to

512
00:29:09,960 --> 00:29:13,560
Speaker 3: get away from any intoxicating substance. It's fair to say

513
00:29:14,080 --> 00:29:16,920
Speaker 3: not to be too Alice and the looking glass here,

514
00:29:17,120 --> 00:29:19,360
Speaker 3: but I think it's fair to say that a lot

515
00:29:19,440 --> 00:29:23,000
Speaker 3: of people have been on both sides of the mither there.

516
00:29:23,200 --> 00:29:26,280
Speaker 3: You know, like you were saying, Noel, you might have

517
00:29:26,360 --> 00:29:28,680
Speaker 3: a little bit of what we used to call Dutch

518
00:29:28,720 --> 00:29:32,480
Speaker 3: courage and walk into a crew and say do the

519
00:29:32,520 --> 00:29:35,720
Speaker 3: thing where everybody's laughing, and then you walk in while

520
00:29:35,760 --> 00:29:38,200
Speaker 3: everybody's laughing and you also laugh.

521
00:29:38,160 --> 00:29:42,320
Speaker 4: Yeah, and then they're like, here, eat this chicken wing.

522
00:29:43,000 --> 00:29:44,240
Speaker 4: I don't think people hate that.

523
00:29:44,480 --> 00:29:46,840
Speaker 3: I think it kind of works unless you do the

524
00:29:46,920 --> 00:29:48,320
Speaker 3: Cuba gooding junior chicken.

525
00:29:48,520 --> 00:29:49,600
Speaker 2: It depends y'all.

526
00:29:49,640 --> 00:29:51,960
Speaker 3: It absolutely is about reading social.

527
00:29:51,680 --> 00:29:54,920
Speaker 4: Cues, and you know, people talk about bars as being

528
00:29:54,920 --> 00:29:56,960
Speaker 4: a place where you can meet friends. I think we

529
00:29:57,080 --> 00:30:00,680
Speaker 4: recently saw a study or a social media influence or something.

530
00:30:00,960 --> 00:30:03,520
Speaker 4: I know what I just did. I equated social media

531
00:30:03,560 --> 00:30:06,320
Speaker 4: influencers with studies, not the same thing. But I saw

532
00:30:06,400 --> 00:30:10,520
Speaker 4: something recently about an individual encouraging folks to get off

533
00:30:10,520 --> 00:30:12,880
Speaker 4: the apps and start just going to bars where you

534
00:30:12,920 --> 00:30:16,400
Speaker 4: can actually meet actual human beings. There are some issues

535
00:30:16,440 --> 00:30:19,360
Speaker 4: with that, of course, in this are me too age

536
00:30:19,440 --> 00:30:21,520
Speaker 4: where I think a lot of folks are worried or

537
00:30:21,600 --> 00:30:27,400
Speaker 4: freaked out about being mischaracterized as creepy or approaching somebody

538
00:30:27,520 --> 00:30:31,320
Speaker 4: you know, without being invited as that being perhaps an

539
00:30:31,400 --> 00:30:34,480
Speaker 4: unwonted advance, or being misconstrued as that. So I think

540
00:30:34,520 --> 00:30:37,680
Speaker 4: there are certain folks that maybe shy away from this

541
00:30:37,800 --> 00:30:41,600
Speaker 4: kind of IRL interaction for those very reasons. So I'm

542
00:30:41,640 --> 00:30:43,000
Speaker 4: on the fence as to whether this is a good

543
00:30:43,040 --> 00:30:44,760
Speaker 4: rule or a bad rule. I think we've talked about

544
00:30:44,760 --> 00:30:45,560
Speaker 4: both sides of it.

545
00:30:46,520 --> 00:30:48,040
Speaker 2: I would just say I think it is a good rule,

546
00:30:48,040 --> 00:30:49,920
Speaker 2: but not for the reasons that were stated there by

547
00:30:49,960 --> 00:30:54,440
Speaker 2: the bartender. Okay, I think you can help prevent somebody

548
00:30:54,600 --> 00:30:57,880
Speaker 2: from becoming a victim of let's say, a predator who's

549
00:30:57,920 --> 00:31:00,480
Speaker 2: going to a bar, either alone or with a bunch

550
00:31:00,560 --> 00:31:03,640
Speaker 2: of other people who were hunting right, and they are

551
00:31:03,760 --> 00:31:06,600
Speaker 2: attempting to maybe drug somebody, which we know is a

552
00:31:06,640 --> 00:31:09,320
Speaker 2: thing that occurs all the time. If you're there all alone,

553
00:31:09,800 --> 00:31:12,920
Speaker 2: you were probably way more likely. I don't know if

554
00:31:12,960 --> 00:31:14,920
Speaker 2: that's true or not, but I would assume you're more

555
00:31:15,040 --> 00:31:17,680
Speaker 2: likely to be targeted, and you wouldn't have somebody who's

556
00:31:17,720 --> 00:31:20,080
Speaker 2: watching your back there while you're at the bar, watching

557
00:31:20,120 --> 00:31:21,400
Speaker 2: your drink or something like that.

558
00:31:21,640 --> 00:31:23,560
Speaker 4: Brother, You're so not wrong. And I'm not sure if

559
00:31:23,600 --> 00:31:25,240
Speaker 4: I've mentioned this on the show or not, but there

560
00:31:25,440 --> 00:31:28,640
Speaker 4: was one time I was solo traveling internationally and I

561
00:31:28,680 --> 00:31:33,040
Speaker 4: was drinking by myself at a little pub near my hotel, thankfully,

562
00:31:33,400 --> 00:31:36,400
Speaker 4: and ninety eight percent certain that somebody put something in

563
00:31:36,480 --> 00:31:40,240
Speaker 4: my drink because I felt all of a sudden very disoriented,

564
00:31:40,440 --> 00:31:43,080
Speaker 4: and there was an individual who was trying to sell

565
00:31:43,120 --> 00:31:47,040
Speaker 4: me you illegal substances, and I got up and walked

566
00:31:47,080 --> 00:31:49,200
Speaker 4: away for a minute. When I came back, he made

567
00:31:49,240 --> 00:31:51,360
Speaker 4: a little comment about how you shouldn't walk away from

568
00:31:51,360 --> 00:31:54,640
Speaker 4: your drink buddy, almost like threatening, And that's when I left,

569
00:31:54,720 --> 00:31:56,440
Speaker 4: and as I was walking back to my hotel, I

570
00:31:56,480 --> 00:31:59,320
Speaker 4: started realizing that someone I think i'd been. Yes, it's

571
00:31:59,320 --> 00:32:00,880
Speaker 4: a good point matter, and I do think that is

572
00:32:01,000 --> 00:32:02,040
Speaker 4: a reason this might.

573
00:32:01,920 --> 00:32:06,680
Speaker 3: Be a decent policy. Yeah, yeah, I'm ninety eight percent

574
00:32:06,760 --> 00:32:09,560
Speaker 3: sure you knew exactly who that person was. Did you

575
00:32:09,680 --> 00:32:10,400
Speaker 3: reach out to me?

576
00:32:10,600 --> 00:32:13,160
Speaker 4: I did know. I knew who the person was. It

577
00:32:13,280 --> 00:32:15,080
Speaker 4: was that guy who was being weird and threatening. But

578
00:32:15,080 --> 00:32:18,840
Speaker 4: I'm just saying if I, thankfully I was not away

579
00:32:19,120 --> 00:32:21,760
Speaker 4: far far away from my home base and it was

580
00:32:21,800 --> 00:32:24,880
Speaker 4: within walkings or stumbling distance, but that could have gone

581
00:32:25,120 --> 00:32:28,240
Speaker 4: very poorly if I had been in an unsafe, isolated

582
00:32:28,320 --> 00:32:30,280
Speaker 4: situation in an unfamiliar place.

583
00:32:30,520 --> 00:32:33,520
Speaker 3: So how do you enforce this, then, is my question

584
00:32:34,400 --> 00:32:37,440
Speaker 3: for all of us in the audience tonight, Because the

585
00:32:37,960 --> 00:32:43,400
Speaker 3: clear easy loophole, for I don't like the characterization of

586
00:32:43,480 --> 00:32:48,000
Speaker 3: solo drinkers as friendless automatically, but the clear easy loophole

587
00:32:48,480 --> 00:32:52,960
Speaker 3: is for the solo folks to meet outside and then

588
00:32:53,080 --> 00:32:56,640
Speaker 3: just walk in as a unit, and then they just

589
00:32:56,640 --> 00:32:57,520
Speaker 3: don't have to talk to you.

590
00:32:57,640 --> 00:32:59,200
Speaker 4: Well yeah, I mean, it's not like they can check

591
00:32:59,200 --> 00:33:02,040
Speaker 4: your friendals or ask you like where did you meet,

592
00:33:02,280 --> 00:33:05,200
Speaker 4: did you go to grade school together? Whatever, Like they

593
00:33:05,200 --> 00:33:07,600
Speaker 4: can't really go that far. But yeah, there is a

594
00:33:07,640 --> 00:33:11,240
Speaker 4: sign it says here entrance policy no single entry after

595
00:33:11,320 --> 00:33:13,760
Speaker 4: nine pm. Alibi does not permit single entry. If you

596
00:33:13,800 --> 00:33:16,880
Speaker 4: are with guests already inside the venue, please contact them

597
00:33:16,880 --> 00:33:19,840
Speaker 4: in advance. And the name of the place is Alibi.

598
00:33:20,240 --> 00:33:25,200
Speaker 4: That is kind of funny, So he is being accused

599
00:33:25,240 --> 00:33:28,160
Speaker 4: of this being a discriminatory policy. But back to mithering.

600
00:33:28,880 --> 00:33:32,160
Speaker 4: I was absolutely, you know, intrigued by this word because

601
00:33:32,160 --> 00:33:34,280
Speaker 4: when I googled it, the only thing that came up

602
00:33:34,320 --> 00:33:37,200
Speaker 4: was this article and then this other article from the

603
00:33:37,240 --> 00:33:41,840
Speaker 4: BBC called the Quirkiest local words from around the UK.

604
00:33:42,520 --> 00:33:44,040
Speaker 4: And I'm gonna list of all some of these. But

605
00:33:44,160 --> 00:33:47,640
Speaker 4: mither is is something from the north, which is where

606
00:33:47,640 --> 00:33:50,880
Speaker 4: Manchester is located. Meaning to bother, so using an ascent

607
00:33:50,960 --> 00:33:53,840
Speaker 4: of stop mithering or apply to virtually everything that a

608
00:33:53,920 --> 00:33:57,840
Speaker 4: child might say, We've got Dempsey is when it's just

609
00:33:57,880 --> 00:34:01,959
Speaker 4: getting dark in the town of dev it's dimpsey out. Marty,

610
00:34:02,280 --> 00:34:04,360
Speaker 4: we know this one. I believe you might have heard.

611
00:34:04,960 --> 00:34:09,640
Speaker 4: Marting is something that the guy from the nineteen seventy

612
00:34:09,680 --> 00:34:11,200
Speaker 4: five said Maddie Healy.

613
00:34:11,560 --> 00:34:14,120
Speaker 3: He accused the Gallagher brothers.

614
00:34:13,680 --> 00:34:17,480
Speaker 4: Of always marding. They're madding means like, you know, fussing

615
00:34:17,560 --> 00:34:20,239
Speaker 4: with each other, but it can also mean sulking or

616
00:34:20,440 --> 00:34:26,200
Speaker 4: being moody. Breeks is a term from Cumbria referring to trousers,

617
00:34:26,239 --> 00:34:28,719
Speaker 4: fou sies, little sweet treats you might have with tea

618
00:34:28,760 --> 00:34:31,520
Speaker 4: or coffee in Northern Ireland. And a couple of my

619
00:34:31,560 --> 00:34:36,160
Speaker 4: personal favorites twittin's meaning those tiny alleyways which go in

620
00:34:36,239 --> 00:34:40,319
Speaker 4: betwixt and between houses from Sussex, as well as well

621
00:34:40,360 --> 00:34:44,560
Speaker 4: as last one here stank, which is a walk. Guys.

622
00:34:45,040 --> 00:34:47,640
Speaker 4: It is a type of walk Cornish word, as in

623
00:34:47,800 --> 00:34:50,720
Speaker 4: that was a fair old stank meaning a long walk.

624
00:34:52,120 --> 00:34:53,520
Speaker 2: That's cool, pretty neat.

625
00:34:53,600 --> 00:34:55,120
Speaker 4: So yeah, check that out if you wants to as

626
00:34:55,120 --> 00:34:57,880
Speaker 4: well on the BBC the quirkiest local words from around

627
00:34:58,200 --> 00:35:01,680
Speaker 4: the UK. Guys, that yielded a lot more conversation than

628
00:35:01,719 --> 00:35:03,239
Speaker 4: I was expecting, so I'm just going to kind of

629
00:35:03,280 --> 00:35:06,279
Speaker 4: rattle off these last two really quickly. We do love

630
00:35:06,320 --> 00:35:08,279
Speaker 4: an odd heist, as we mentioned at the top of

631
00:35:08,280 --> 00:35:10,280
Speaker 4: the show and as we mentioned on just about every

632
00:35:10,600 --> 00:35:13,879
Speaker 4: Strange News when a heist is in play. Here's one

633
00:35:14,000 --> 00:35:16,680
Speaker 4: one of the most polite and Canadian of heist. Man

634
00:35:16,719 --> 00:35:20,160
Speaker 4: takes bus for joy ride in Canada, turns down passenger

635
00:35:20,239 --> 00:35:25,400
Speaker 4: with expired pass. Jennifer Hauser, writing for CNN, wrote, Canadian

636
00:35:25,440 --> 00:35:27,960
Speaker 4: police say a member of the public who took an

637
00:35:27,960 --> 00:35:31,000
Speaker 4: Ontario Transit bus for a joy ride with about ten

638
00:35:31,000 --> 00:35:34,960
Speaker 4: passengers still on board didn't even leave a dan. Hamilton

639
00:35:35,000 --> 00:35:41,120
Speaker 4: Police spokesperson Trevor McKenna told CNN affiliate CBC it's comical,

640
00:35:41,160 --> 00:35:43,760
Speaker 4: but at the same time it's serious. We're thankful nobody

641
00:35:43,840 --> 00:35:46,680
Speaker 4: was hurt. The man boarded the bus and drove away

642
00:35:46,760 --> 00:35:49,520
Speaker 4: while the real driver was taking a break. He continued

643
00:35:49,600 --> 00:35:54,080
Speaker 4: making stops, correct stops and allowing the passengers to enter

644
00:35:54,120 --> 00:35:57,200
Speaker 4: an exit. According to the Hamilton Police press release that

645
00:35:57,280 --> 00:36:00,520
Speaker 4: came out this week, McKenna, the spokes and said that

646
00:36:00,560 --> 00:36:03,640
Speaker 4: at first passengers were just, you know, none the wiser,

647
00:36:03,960 --> 00:36:08,040
Speaker 4: but then eventually someone realized that this individual seemed to

648
00:36:08,040 --> 00:36:11,480
Speaker 4: be making some wrong turns, at which point this person

649
00:36:11,719 --> 00:36:14,239
Speaker 4: gave them help, gave them some directions to help get

650
00:36:14,239 --> 00:36:18,080
Speaker 4: them back on track. When it was revealed this had happened,

651
00:36:18,120 --> 00:36:21,560
Speaker 4: the Hamilton Police decided to keep their distance rather than

652
00:36:21,719 --> 00:36:25,000
Speaker 4: cause some sort of panic in the driver. They worked

653
00:36:25,000 --> 00:36:28,439
Speaker 4: with Hamilton Street Railway, the company that runs public transit there,

654
00:36:29,040 --> 00:36:32,799
Speaker 4: to keep tabs on the bus's GPS and keep their

655
00:36:32,840 --> 00:36:35,920
Speaker 4: distance and have their sirens off. We didn't want to

656
00:36:35,960 --> 00:36:38,399
Speaker 4: spook him, McKenna said, We didn't want to make this

657
00:36:38,560 --> 00:36:41,879
Speaker 4: a tragedy. So after about fifteen minutes they were able

658
00:36:41,920 --> 00:36:46,000
Speaker 4: to safely stop the bus. Did I mention, Yeah, they

659
00:36:46,120 --> 00:36:49,320
Speaker 4: did turn away an individual whose bus pass had expired,

660
00:36:49,400 --> 00:36:52,600
Speaker 4: So very very polite hes the suspect, who is not

661
00:36:52,640 --> 00:36:56,000
Speaker 4: being named and is listed as having no fixed address,

662
00:36:56,000 --> 00:36:57,680
Speaker 4: which I think may be a way of referring to

663
00:36:57,719 --> 00:37:01,719
Speaker 4: an unhoused individual here in Canadian Parlia. They are being

664
00:37:01,800 --> 00:37:05,560
Speaker 4: charged with theft and possession over five thousand dollars, obstructing police,

665
00:37:05,880 --> 00:37:09,600
Speaker 4: and driving while prohibited uh and he will be appearing

666
00:37:09,640 --> 00:37:12,440
Speaker 4: in court to answer to the charges. I guess like

667
00:37:12,520 --> 00:37:15,880
Speaker 4: a champion, I mean truly. You know, again, it's an

668
00:37:15,880 --> 00:37:19,000
Speaker 4: easy It's a different story when nobody gets hurt, and

669
00:37:19,280 --> 00:37:22,280
Speaker 4: I have to imagine that there's some either a real

670
00:37:22,760 --> 00:37:26,560
Speaker 4: mischievous streak in this individual or some mental health issues

671
00:37:26,560 --> 00:37:26,960
Speaker 4: at play.

672
00:37:27,120 --> 00:37:31,000
Speaker 3: Complications it reminds me of the guy who stole a

673
00:37:31,040 --> 00:37:36,000
Speaker 3: plane for a joy ride. Didn't he did all He

674
00:37:36,080 --> 00:37:39,920
Speaker 3: didn't stick the landing, but he did a barrel roll.

675
00:37:39,719 --> 00:37:41,920
Speaker 4: He did some loopy loops, he did some cool.

676
00:37:41,760 --> 00:37:44,320
Speaker 3: Kind of top gun stuff, and while he was in

677
00:37:44,400 --> 00:37:47,439
Speaker 3: the air, eventually he realized he had the land And

678
00:37:47,520 --> 00:37:50,000
Speaker 3: that is the tricky party.

679
00:37:50,239 --> 00:37:53,800
Speaker 4: But what do you I mean? I know it's illegal,

680
00:37:53,840 --> 00:37:57,680
Speaker 4: but it's so wholesome, very wholesome and very polite, very Canadian.

681
00:37:58,280 --> 00:38:01,439
Speaker 2: It also runs me of that time somebody's small prop

682
00:38:01,480 --> 00:38:04,560
Speaker 2: plane was being boosted.

683
00:38:04,320 --> 00:38:07,520
Speaker 4: And secretly they kept cigarette butts and stuff in it

684
00:38:07,600 --> 00:38:10,720
Speaker 4: or whatever, ultimately taking care.

685
00:38:10,600 --> 00:38:14,399
Speaker 3: Of Yeah, they did the maintenance. You know. It's kind

686
00:38:14,400 --> 00:38:18,279
Speaker 3: of like, uh, for people who are fancy pants and

687
00:38:18,320 --> 00:38:21,560
Speaker 3: get valet parking. It's kind of like when the valet says, oh,

688
00:38:21,640 --> 00:38:24,200
Speaker 3: this is a cool car and they drive it around

689
00:38:24,239 --> 00:38:25,320
Speaker 3: the block a little bit.

690
00:38:25,600 --> 00:38:27,319
Speaker 4: Take it for a ride around the block. Nothing wrong

691
00:38:27,320 --> 00:38:29,279
Speaker 4: with that, No, there is something wrong with that. Your

692
00:38:30,000 --> 00:38:31,279
Speaker 4: plead your ord.

693
00:38:31,560 --> 00:38:34,920
Speaker 3: Uh my client pleads that this was wholesome and dope

694
00:38:35,239 --> 00:38:38,600
Speaker 3: and he should be And the judge is like, uh,

695
00:38:39,040 --> 00:38:42,120
Speaker 3: boom with the gavel and says, you know what you're

696
00:38:42,200 --> 00:38:47,759
Speaker 3: sentenced to being an actual city bus driver. Yeah.

697
00:38:47,800 --> 00:38:50,360
Speaker 4: Wow, when you put it like that, Shout out to

698
00:38:50,400 --> 00:38:53,040
Speaker 4: all the folks out there working for public transit though

699
00:38:53,080 --> 00:38:55,840
Speaker 4: and getting getting people where they're going on time. We

700
00:38:55,960 --> 00:38:57,000
Speaker 4: very much appreciate you.

701
00:38:57,520 --> 00:39:01,560
Speaker 2: Wait, are you working for public transit? Bend huh. Ben's

702
00:39:01,560 --> 00:39:03,400
Speaker 2: a secret buster is the way he said, thank you.

703
00:39:05,280 --> 00:39:07,160
Speaker 4: Was taking this as an opportunity to take all our

704
00:39:07,160 --> 00:39:10,200
Speaker 4: friends out there who you know, who were driving the

705
00:39:10,200 --> 00:39:12,880
Speaker 4: buses and piloting the subways and all that good stuff.

706
00:39:13,200 --> 00:39:21,480
Speaker 3: Piloting the subways, the subways, unatatable wheel piloting the subway. Okay,

707
00:39:21,560 --> 00:39:23,640
Speaker 3: all right, I appreciate it that I'm doing my best,

708
00:39:23,840 --> 00:39:26,360
Speaker 3: trying to use my words. I will wrap up today

709
00:39:26,480 --> 00:39:28,920
Speaker 3: with just a mention. We recently talked about some.

710
00:39:29,000 --> 00:39:33,400
Speaker 4: Of the underwhelming results we're seeing from some of these

711
00:39:33,480 --> 00:39:36,600
Speaker 4: humanoid robots here in the US, as they're being trotted

712
00:39:36,600 --> 00:39:40,480
Speaker 4: out literally on stage, not doing the best of jobs,

713
00:39:41,920 --> 00:39:44,600
Speaker 4: showing us the advancements that we think maybe should have

714
00:39:44,640 --> 00:39:47,080
Speaker 4: occurred in the time since we've seen all those really

715
00:39:47,080 --> 00:39:50,560
Speaker 4: incredible bust and dynamic robots. This phenomenon is also taking

716
00:39:50,560 --> 00:39:55,760
Speaker 4: place in Russia, where a startup company made a big

717
00:39:55,800 --> 00:40:00,200
Speaker 4: to do in presenting a an AI powered robot with

718
00:40:00,320 --> 00:40:06,160
Speaker 4: a absolutely horrific humanoid faces in a rictus grimace. It's very,

719
00:40:06,239 --> 00:40:09,359
Speaker 4: very upsetting. So the further country's first humanoid robot, as

720
00:40:09,400 --> 00:40:14,040
Speaker 4: reported by the Russian publication Medusa, uses AI technology and

721
00:40:14,160 --> 00:40:19,320
Speaker 4: was unveiled at your recent technology conference in Moscow. Video

722
00:40:19,480 --> 00:40:23,000
Speaker 4: of the event really went viral for all the wrong

723
00:40:23,040 --> 00:40:29,560
Speaker 4: reasons as the robot named idol aid L hobbled on

724
00:40:29,680 --> 00:40:33,320
Speaker 4: stage accompanied by two humans to the tune of Gonna

725
00:40:33,360 --> 00:40:37,200
Speaker 4: Fly Now, the main theme from Rocky, which just added

726
00:40:37,960 --> 00:40:41,440
Speaker 4: to the insult to the injury, and then promptly fell

727
00:40:41,760 --> 00:40:44,759
Speaker 4: toppled over directly on its face. I put a link

728
00:40:44,800 --> 00:40:46,359
Speaker 4: in the chat guys if we want to just watch

729
00:40:46,400 --> 00:40:49,399
Speaker 4: it together really quickly and in comment before we pop

730
00:40:49,480 --> 00:40:52,760
Speaker 4: to the next segment. Here we go, guys, step.

731
00:40:52,600 --> 00:40:56,320
Speaker 3: For a robot followed by one giant face plan.

732
00:41:01,520 --> 00:41:06,560
Speaker 4: So tenuous, this tiny little steps. He raises his alarm

733
00:41:06,960 --> 00:41:12,400
Speaker 4: and then oh no, he looks dru Oh god, and

734
00:41:12,400 --> 00:41:15,080
Speaker 4: then they have to literally drag him off stage as

735
00:41:15,120 --> 00:41:18,240
Speaker 4: they cover it. I'm calling him him with a curtain

736
00:41:18,320 --> 00:41:19,160
Speaker 4: so no one can.

737
00:41:19,000 --> 00:41:19,840
Speaker 3: See the horror.

738
00:41:20,360 --> 00:41:23,520
Speaker 4: The horror you guys. I don't know, man, it's not

739
00:41:23,640 --> 00:41:25,400
Speaker 4: too far off from the kind of things we're seeing

740
00:41:25,400 --> 00:41:27,640
Speaker 4: from Tesla. I just it just made me chuckle a

741
00:41:27,680 --> 00:41:28,759
Speaker 4: little bit. What do you guys think?

742
00:41:30,080 --> 00:41:34,520
Speaker 2: Yeah? Oh, wait, no, The Daily Show puts something out

743
00:41:34,600 --> 00:41:37,439
Speaker 2: with that, and it was they did one of those

744
00:41:37,440 --> 00:41:39,799
Speaker 2: where it's like a viral video or something, and then

745
00:41:39,800 --> 00:41:43,680
Speaker 2: they put text over different characters in the viral video,

746
00:41:43,800 --> 00:41:46,640
Speaker 2: and that character in the video is supposed to represent

747
00:41:46,719 --> 00:41:51,120
Speaker 2: something else, and I think it was something about, uh,

748
00:41:51,160 --> 00:41:56,720
Speaker 2: the current administration attempting to avoid the Epstein stuff.

749
00:41:59,680 --> 00:42:02,480
Speaker 3: Shout out to the open AI guy. By the way,

750
00:42:02,600 --> 00:42:04,800
Speaker 3: no doubt just skid autled.

751
00:42:04,960 --> 00:42:07,279
Speaker 4: Some of the comments on the YouTube posts of this

752
00:42:07,360 --> 00:42:10,239
Speaker 4: video are pretty priceless. Just left a Russian bar. The

753
00:42:10,320 --> 00:42:12,960
Speaker 4: Russians couldn't even get the closing curtain right just in

754
00:42:13,000 --> 00:42:15,840
Speaker 4: the war. Now the curtain is the best part, no doubt,

755
00:42:15,840 --> 00:42:17,040
Speaker 4: as they try to cover him.

756
00:42:17,600 --> 00:42:19,920
Speaker 3: Let's see robot is fueled with vodka.

757
00:42:20,040 --> 00:42:22,240
Speaker 4: You can see it the way it quote unquote moves

758
00:42:22,880 --> 00:42:26,200
Speaker 4: robots after a shift at Amazon. Russians playing the Rocky

759
00:42:26,280 --> 00:42:29,040
Speaker 4: theme is another level of irony, because was it the

760
00:42:29,080 --> 00:42:32,040
Speaker 4: big bad in one of the Rocky movies like a

761
00:42:32,120 --> 00:42:37,280
Speaker 4: mega Iron Curtain kind of esque, you know, Russian villain.

762
00:42:38,239 --> 00:42:42,959
Speaker 2: Yeah, I wish it was a big robot though, maybe

763
00:42:43,080 --> 00:42:45,120
Speaker 2: we do a Rocky versus robots we.

764
00:42:45,160 --> 00:42:46,839
Speaker 4: Must, Yeah, hopefully it's in the word.

765
00:42:46,920 --> 00:42:50,120
Speaker 3: I'd also love for us to do an episode just

766
00:42:50,239 --> 00:42:54,600
Speaker 3: on the latest evolutions and I'm using that word carefully

767
00:42:54,719 --> 00:43:00,839
Speaker 3: in robotic technology, especially the humanoid stuff. Chia is at

768
00:43:00,880 --> 00:43:03,560
Speaker 3: the forefront right now, and we had a story that

769
00:43:03,600 --> 00:43:07,880
Speaker 3: we're not going to get to today with the idea

770
00:43:07,880 --> 00:43:11,560
Speaker 3: of pre crime and the optimist robot. But yeah, interesting

771
00:43:11,680 --> 00:43:12,719
Speaker 3: times to live in.

772
00:43:13,920 --> 00:43:16,319
Speaker 4: And last one, at least it didn't rip its own

773
00:43:16,400 --> 00:43:19,640
Speaker 4: head off like in RoboCop. I don't remember what happened

774
00:43:19,840 --> 00:43:21,879
Speaker 4: to that effect in RoboCop, but it's making me want

775
00:43:21,880 --> 00:43:24,839
Speaker 4: to revisit that movie. So yeah, we're going to take

776
00:43:24,840 --> 00:43:27,520
Speaker 4: a break here, have a little word from our sponsor,

777
00:43:27,560 --> 00:43:29,440
Speaker 4: and then come back with the last segment in Today's

778
00:43:29,480 --> 00:43:35,839
Speaker 4: Strange News episode.

779
00:43:36,800 --> 00:43:41,960
Speaker 2: And we've returned, guys, we're gonna have another update to

780
00:43:42,080 --> 00:43:45,640
Speaker 2: a little thing that we talked about in twenty twenty three. Ben,

781
00:43:45,680 --> 00:43:47,960
Speaker 2: I think you talked about it. Maybe I know you've

782
00:43:47,960 --> 00:43:50,879
Speaker 2: at least updated us several times on strange news over

783
00:43:50,880 --> 00:43:54,440
Speaker 2: the years since August twenty twenty three. But it is

784
00:43:54,480 --> 00:43:58,719
Speaker 2: a raid on a small town Kansas newspaper there in

785
00:43:58,880 --> 00:44:03,480
Speaker 2: Marion County. It happened in August twenty twenty three. Then

786
00:44:03,760 --> 00:44:06,080
Speaker 2: we talked about an update where the police chief that

787
00:44:06,360 --> 00:44:09,200
Speaker 2: ran the small raid ended up getting suspended. Then we

788
00:44:09,239 --> 00:44:13,760
Speaker 2: talked about a couple other major updates to the court

789
00:44:13,800 --> 00:44:17,720
Speaker 2: case that has essentially been going on since then because

790
00:44:17,719 --> 00:44:22,279
Speaker 2: the county was being sued by the private homeowners whose

791
00:44:22,320 --> 00:44:24,839
Speaker 2: houses got raided, who were also the people who worked

792
00:44:24,840 --> 00:44:31,040
Speaker 2: at and ran the newspaper there. Well, we've got another update, guys.

793
00:44:32,600 --> 00:44:36,680
Speaker 2: There's a settlement of some sort. We're jumping to ap

794
00:44:36,880 --> 00:44:40,600
Speaker 2: news from November eleventh, twenty twenty five. I was just

795
00:44:40,680 --> 00:44:43,520
Speaker 2: going to read directly from it. A rural Kansas county

796
00:44:43,640 --> 00:44:46,880
Speaker 2: Marion County has agreed to pay around three million dollars

797
00:44:46,960 --> 00:44:51,640
Speaker 2: and apologize right over a law enforcement rate in a

798
00:44:51,640 --> 00:44:54,319
Speaker 2: small town weekly newspaper back in August twenty twenty three.

799
00:44:54,360 --> 00:44:58,040
Speaker 2: That sparked a bunch of news and an outcry. The

800
00:44:58,080 --> 00:45:00,080
Speaker 2: apology's got to be the part that hurts the worst.

801
00:45:00,239 --> 00:45:04,160
Speaker 3: Well, the apology is worth its waiting goal. Yeah, and Matt,

802
00:45:04,640 --> 00:45:07,840
Speaker 3: was this the decision of a group of rural Gerbers.

803
00:45:08,000 --> 00:45:11,440
Speaker 2: Yeah, we did it, guys, we finally did it.

804
00:45:11,480 --> 00:45:11,960
Speaker 3: We got it.

805
00:45:12,000 --> 00:45:14,560
Speaker 4: We got there. I got there. That's why we started

806
00:45:14,560 --> 00:45:14,959
Speaker 4: this show.

807
00:45:15,080 --> 00:45:18,400
Speaker 2: We always said, once it happens, and we would have

808
00:45:18,400 --> 00:45:21,640
Speaker 2: accomplished our goals and we could really be done.

809
00:45:22,120 --> 00:45:25,520
Speaker 3: It's it's our nine billion names of God or whatever

810
00:45:25,560 --> 00:45:26,600
Speaker 3: that story is.

811
00:45:26,719 --> 00:45:29,040
Speaker 4: You also sounded sober as a judge when you said that,

812
00:45:29,080 --> 00:45:33,920
Speaker 4: which is no small feat. Yeah, okay, sober as a judge.

813
00:45:33,960 --> 00:45:35,040
Speaker 3: Is that an idiom?

814
00:45:35,520 --> 00:45:35,719
Speaker 2: Yeah?

815
00:45:35,719 --> 00:45:36,120
Speaker 4: I think so.

816
00:45:36,480 --> 00:45:38,080
Speaker 3: People say that judges be sober.

817
00:45:38,200 --> 00:45:41,080
Speaker 4: And you said rural juror like a like a real

818
00:45:41,120 --> 00:45:43,719
Speaker 4: straight straight arrow, Thank you.

819
00:45:43,880 --> 00:45:47,280
Speaker 3: I mean it's it's again, it's the it's the word

820
00:45:47,400 --> 00:45:51,040
Speaker 3: crime that we have always aimed for, say, rural juror

821
00:45:51,160 --> 00:45:52,160
Speaker 3: and bob blah blah.

822
00:45:52,600 --> 00:45:53,759
Speaker 4: Uh wait.

823
00:45:53,880 --> 00:45:57,680
Speaker 3: So, so, the like Noel was saying, Matt, the apology

824
00:45:57,840 --> 00:46:03,799
Speaker 3: here seems to very symbolic weight, if not legal weight.

825
00:46:04,120 --> 00:46:04,319
Speaker 4: Right.

826
00:46:05,000 --> 00:46:07,640
Speaker 2: Uh yeah, yeah, I would say, I would say. So

827
00:46:08,360 --> 00:46:10,120
Speaker 2: you can look all of this up if you want to.

828
00:46:10,120 --> 00:46:12,360
Speaker 2: You right now, it's just a bit of an update. Well,

829
00:46:12,360 --> 00:46:14,280
Speaker 2: you can go to a little bit of it because

830
00:46:14,280 --> 00:46:19,439
Speaker 2: if you'll recall, this occurred in a weird way where

831
00:46:19,480 --> 00:46:23,680
Speaker 2: there was there was some local what would you call it,

832
00:46:23,719 --> 00:46:28,800
Speaker 2: guys politics issues between the newspaper and the sheriff's office

833
00:46:29,040 --> 00:46:32,120
Speaker 2: and the local police the I guess the city police

834
00:46:32,120 --> 00:46:36,120
Speaker 2: there in Marion County or in the city, and the

835
00:46:36,160 --> 00:46:40,400
Speaker 2: sheriff's office helped to draft the search warrants that allowed

836
00:46:41,000 --> 00:46:44,640
Speaker 2: the city cops to go into the newspaper's offices and everything,

837
00:46:44,760 --> 00:46:47,000
Speaker 2: but then also go to the publisher's house and to

838
00:46:47,600 --> 00:46:50,319
Speaker 2: I think a council a council member's house, a local

839
00:46:50,320 --> 00:46:53,560
Speaker 2: city council member. And when all of that was occurring,

840
00:46:53,600 --> 00:46:55,799
Speaker 2: there was a ninety eight year old woman there, the

841
00:46:55,840 --> 00:46:58,200
Speaker 2: mother of one of the people that was being targeted.

842
00:46:58,680 --> 00:47:02,080
Speaker 2: She had a heart attack and died as a result

843
00:47:02,200 --> 00:47:04,000
Speaker 2: of all the hubbub and everything that was going on

844
00:47:04,040 --> 00:47:08,239
Speaker 2: when the house is getting raided. I think that or

845
00:47:08,280 --> 00:47:12,240
Speaker 2: it seems to be that the apology is probably more

846
00:47:12,560 --> 00:47:17,400
Speaker 2: in that realm, like, hey, we didn't mean to hurt anybody.

847
00:47:16,840 --> 00:47:19,960
Speaker 2: We were trying to do our job or that kind

848
00:47:20,000 --> 00:47:22,600
Speaker 2: of thing. But also, oh, we did the wrong thing here,

849
00:47:22,880 --> 00:47:26,200
Speaker 2: and we went about this the wrong way, and that's

850
00:47:26,200 --> 00:47:31,200
Speaker 2: why we're going to pay three million dollars. Whow okay,

851
00:47:31,560 --> 00:47:35,400
Speaker 2: yeah again, read all about it. The estate of the

852
00:47:35,440 --> 00:47:38,160
Speaker 2: woman who died is going to receive one million of

853
00:47:38,200 --> 00:47:41,560
Speaker 2: that money, which is pretty great. Actually, let's go here

854
00:47:41,760 --> 00:47:45,279
Speaker 2: to the judgment just to learn where that money's going.

855
00:47:45,440 --> 00:47:47,680
Speaker 2: The estate of Meyer's mother, the woman who died, is

856
00:47:47,680 --> 00:47:51,880
Speaker 2: going to receive one million dollars. Meyer, two former record reporters,

857
00:47:51,920 --> 00:47:54,799
Speaker 2: and the paper's business manager are going to split one

858
00:47:54,800 --> 00:47:58,360
Speaker 2: point one million dollars. And then the former city council member,

859
00:47:58,560 --> 00:48:01,200
Speaker 2: Ruth herbel is her name, She's going to receive six

860
00:48:01,239 --> 00:48:04,920
Speaker 2: hundred and fifty thousand dollars. It's pretty great. And she's

861
00:48:05,080 --> 00:48:07,480
Speaker 2: she's talking about creating some kind of fund to make

862
00:48:07,520 --> 00:48:11,080
Speaker 2: sure the paper gets to stay alive. I like that,

863
00:48:11,600 --> 00:48:12,240
Speaker 2: isn't that cool?

864
00:48:12,440 --> 00:48:13,840
Speaker 4: That's great, that's a good So.

865
00:48:14,320 --> 00:48:17,600
Speaker 3: That's better than putting a quantitative price on a human

866
00:48:17,640 --> 00:48:18,480
Speaker 3: life for sure.

867
00:48:18,640 --> 00:48:18,879
Speaker 2: Yeah.

868
00:48:19,680 --> 00:48:20,240
Speaker 4: Oh yeah.

869
00:48:20,280 --> 00:48:21,960
Speaker 2: And now, by the way, that paper was known for

870
00:48:22,000 --> 00:48:24,960
Speaker 2: really sticking it to the man in the county, so

871
00:48:25,120 --> 00:48:27,040
Speaker 2: like it's kind of cool to have that kind of thing.

872
00:48:27,080 --> 00:48:29,120
Speaker 2: You know, you got the fourth estate there for a reason,

873
00:48:29,120 --> 00:48:33,280
Speaker 2: to try and keep everybody as honest as possible. Speaking

874
00:48:33,280 --> 00:48:36,040
Speaker 2: of Yeah, yeah.

875
00:48:36,800 --> 00:48:39,400
Speaker 4: Matt, I gotta say it's refreshing hearing it referred to

876
00:48:39,440 --> 00:48:42,560
Speaker 4: as the fourth estate the press, as we tend to

877
00:48:42,560 --> 00:48:45,160
Speaker 4: hear it more referred to as the fake news media lately.

878
00:48:45,200 --> 00:48:47,600
Speaker 4: So I hadn't even thought about that phrase, and it

879
00:48:47,600 --> 00:48:50,279
Speaker 4: gives it such reverence that I think is one that

880
00:48:50,320 --> 00:48:52,919
Speaker 4: it absolutely deserves. So thank you well.

881
00:48:53,200 --> 00:48:56,719
Speaker 2: It only exists in that way as that thing theoretically.

882
00:48:57,120 --> 00:49:00,759
Speaker 2: Sometimes it functions as such. Other times it just doesn't

883
00:49:00,800 --> 00:49:04,960
Speaker 2: go so great for the journals. They all try. We try,

884
00:49:05,080 --> 00:49:05,880
Speaker 2: everyone tries.

885
00:49:06,520 --> 00:49:07,280
Speaker 4: Yeah.

886
00:49:07,320 --> 00:49:10,960
Speaker 3: The current president, in speaking with the leadership of the

887
00:49:11,040 --> 00:49:16,120
Speaker 3: Kingdom of Saudi Arabia regarding journalism, simply said, things happen.

888
00:49:16,960 --> 00:49:21,680
Speaker 2: And then sometimes the wrong people get wind and then

889
00:49:21,800 --> 00:49:24,399
Speaker 2: talk about it in their dirty newspaper.

890
00:49:24,440 --> 00:49:27,440
Speaker 3: And I'm sure all right, shout out to Kansas.

891
00:49:27,760 --> 00:49:30,839
Speaker 2: Oh okay. So let us jump to a little more

892
00:49:30,840 --> 00:49:33,520
Speaker 2: recent news that was a while back, November eleventh. This

893
00:49:33,600 --> 00:49:37,440
Speaker 2: is November eighteenth, yesterday, as we were recording This is

894
00:49:37,600 --> 00:49:40,960
Speaker 2: NBC News, written by Jared Perlow p E. R.

895
00:49:41,120 --> 00:49:41,320
Speaker 6: L O.

896
00:49:42,160 --> 00:49:46,280
Speaker 2: Here's the title. AI generated evidence is showing up in court.

897
00:49:46,920 --> 00:49:50,440
Speaker 2: Judges say they're not ready. This is a very very

898
00:49:50,480 --> 00:49:52,759
Speaker 2: long article, guys. I'm just going to give you the

899
00:49:53,280 --> 00:50:00,120
Speaker 2: highlights here. There's a judge named Victoria Kolakowski and and

900
00:50:00,560 --> 00:50:04,759
Speaker 2: she's serving in this case titled Mendones versus Cushman and

901
00:50:04,800 --> 00:50:09,520
Speaker 2: Wakefield Incorporated. And she notices as they're going through the evidence,

902
00:50:09,560 --> 00:50:12,040
Speaker 2: as it's being presented to the court, that there's something

903
00:50:12,080 --> 00:50:16,680
Speaker 2: a little off with this Exhibit six C. Specifically, it's

904
00:50:16,680 --> 00:50:19,720
Speaker 2: a video of a witness, but it's kind of strange.

905
00:50:19,719 --> 00:50:23,360
Speaker 2: It was submitted by the plaintiffs. It's California housing dispute,

906
00:50:24,080 --> 00:50:27,840
Speaker 2: and it showed this witness who they had seen before.

907
00:50:28,440 --> 00:50:32,920
Speaker 2: This witness had appeared in another authentic piece of evidence,

908
00:50:32,960 --> 00:50:35,200
Speaker 2: So this is somebody the court has seen before. Does

909
00:50:35,200 --> 00:50:37,520
Speaker 2: that make sense? The judges see and the suri has

910
00:50:37,560 --> 00:50:43,600
Speaker 2: seen this person, yes, but in video form. The judge

911
00:50:43,640 --> 00:50:47,759
Speaker 2: noticed that the voice was all weird, disjointed is how

912
00:50:47,840 --> 00:50:52,040
Speaker 2: Jared describes it. Monotone. Her face was fuzzy, and it

913
00:50:52,040 --> 00:50:55,920
Speaker 2: seemed to be lacking emotion, and then every few seconds

914
00:50:57,080 --> 00:50:59,840
Speaker 2: she would kind of twitch and then repeat the emotions

915
00:51:00,040 --> 00:51:03,840
Speaker 2: she had been doing before outside of the verbal stuff.

916
00:51:03,880 --> 00:51:07,719
Speaker 2: So the nonverbal movements on the camera, so then the

917
00:51:07,800 --> 00:51:11,120
Speaker 2: judge realized, holy crap, I think this, this is a

918
00:51:11,160 --> 00:51:14,920
Speaker 2: deep fake video being presented as evidence by the plaintiffs.

919
00:51:17,280 --> 00:51:20,120
Speaker 2: So she said, hold up, hold up, we're not going

920
00:51:20,200 --> 00:51:22,560
Speaker 2: to do this. Actually, we're going to dismiss this whole case.

921
00:51:22,800 --> 00:51:25,520
Speaker 2: This is done. You can't do that.

922
00:51:25,560 --> 00:51:27,840
Speaker 4: Oh my gosh, bet that's going to be such a

923
00:51:27,880 --> 00:51:29,319
Speaker 4: problem moving forward, Like.

924
00:51:29,360 --> 00:51:31,759
Speaker 3: This technology always outpaces legislation.

925
00:51:31,880 --> 00:51:33,759
Speaker 4: Well not only that, but it's just like even being

926
00:51:33,760 --> 00:51:36,839
Speaker 4: able to spot it. And then if there's even suspicion

927
00:51:37,280 --> 00:51:39,719
Speaker 4: then a thing is a deep fake. It could cause

928
00:51:39,760 --> 00:51:42,040
Speaker 4: all kinds of problems for the defense and that or

929
00:51:42,160 --> 00:51:42,719
Speaker 4: the prosecution.

930
00:51:42,840 --> 00:51:47,160
Speaker 2: Right, yeah, And it seems like this is only one

931
00:51:47,200 --> 00:51:50,680
Speaker 2: of the first cases of this. It's one of the

932
00:51:50,680 --> 00:51:53,520
Speaker 2: first cases where a plaintiff is put forward, you know,

933
00:51:53,600 --> 00:51:57,120
Speaker 2: evidence fully, like, here is evidence for the court and

934
00:51:57,160 --> 00:52:00,479
Speaker 2: it is a deep fake video. Seems weird.

935
00:52:00,520 --> 00:52:00,759
Speaker 4: It was.

936
00:52:00,800 --> 00:52:03,640
Speaker 2: It was according to them, it was real, one hundred

937
00:52:03,640 --> 00:52:05,640
Speaker 2: percent genuine article. This is a real video of a

938
00:52:05,680 --> 00:52:09,440
Speaker 2: real witness. And then it was up to the judge

939
00:52:09,600 --> 00:52:11,960
Speaker 2: to figure it out and say, no, we can't do this.

940
00:52:12,719 --> 00:52:15,480
Speaker 3: Yeah. The judge is like, hey, I know this character

941
00:52:15,560 --> 00:52:19,600
Speaker 3: from an earlier episode essentially right, this is one of

942
00:52:19,640 --> 00:52:24,399
Speaker 3: the this is a time that this was identified and adjudicated. Right,

943
00:52:24,680 --> 00:52:28,120
Speaker 3: But this may not necessarily be the first time something

944
00:52:28,239 --> 00:52:33,600
Speaker 3: like this was entered into evidence and passed the smell test, because.

945
00:52:33,480 --> 00:52:35,760
Speaker 4: Does that mean that maybe there could become a rash

946
00:52:35,760 --> 00:52:39,440
Speaker 4: of cases getting overturned down the line if things are

947
00:52:39,480 --> 00:52:40,160
Speaker 4: re examined.

948
00:52:40,680 --> 00:52:44,920
Speaker 2: So the way this article puts it, Previously, the big

949
00:52:44,960 --> 00:52:48,360
Speaker 2: problem was people on one side of the case would

950
00:52:48,400 --> 00:52:51,960
Speaker 2: allege that the other side was presenting deep faked evidence

951
00:52:52,040 --> 00:52:54,840
Speaker 2: or hey, that video was deep faked, so, you know,

952
00:52:54,880 --> 00:52:59,279
Speaker 2: attempting to get evidence thrown out. In this case, it's

953
00:52:59,320 --> 00:53:02,400
Speaker 2: just the judge realizing that the wool is being pulled

954
00:53:02,400 --> 00:53:04,920
Speaker 2: over eyes here, and we don't want this to occur

955
00:53:05,239 --> 00:53:06,359
Speaker 2: because this is a court of law.

956
00:53:06,560 --> 00:53:07,239
Speaker 4: Do you see what I mean?

957
00:53:07,280 --> 00:53:07,440
Speaker 6: Though?

958
00:53:07,480 --> 00:53:09,840
Speaker 4: Like I mean, we keep hearing about like haybeas corpus

959
00:53:09,960 --> 00:53:12,200
Speaker 4: briefs being filed or maybe that's the wrong term, but

960
00:53:12,400 --> 00:53:15,839
Speaker 4: the idea of reassessing a case after someone's already been

961
00:53:15,960 --> 00:53:18,759
Speaker 4: convicted and having it thrown out after the fact, don't

962
00:53:18,760 --> 00:53:20,480
Speaker 4: you start to think we're going to start seeing people

963
00:53:21,000 --> 00:53:24,200
Speaker 4: like as time progresses and this technology is more like

964
00:53:24,239 --> 00:53:27,360
Speaker 4: accepted to have been possibly on the table.

965
00:53:27,440 --> 00:53:28,600
Speaker 3: People are going to start doing that.

966
00:53:28,800 --> 00:53:32,120
Speaker 4: Obviously the technology didn't exist for like legacy old cases

967
00:53:32,120 --> 00:53:33,920
Speaker 4: for that to really come into play, but it is

968
00:53:33,960 --> 00:53:36,120
Speaker 4: going to change things up moving forward.

969
00:53:37,560 --> 00:53:41,040
Speaker 2: Yeah, I things are gonna get real weird in the courts.

970
00:53:41,239 --> 00:53:44,439
Speaker 2: That that thing we described by the way, where one

971
00:53:44,440 --> 00:53:47,319
Speaker 2: side of the court, you know, lodges an allegation that

972
00:53:47,360 --> 00:53:49,720
Speaker 2: this is a defake video that is has a cool

973
00:53:50,080 --> 00:53:52,880
Speaker 2: phrase for it. It's called Liar's Dividend.

974
00:53:53,719 --> 00:53:56,600
Speaker 3: Liar's Dividend. Oh my gosh, you guys, that was the

975
00:53:56,719 --> 00:53:58,000
Speaker 3: name of our first album.

976
00:53:58,200 --> 00:54:01,680
Speaker 4: Sounds like a gamble game you'd play in the Old West,

977
00:54:01,920 --> 00:54:02,120
Speaker 4: you know.

978
00:54:02,280 --> 00:54:05,560
Speaker 3: Yeah, right, check out our check out our breakout signal

979
00:54:06,560 --> 00:54:10,399
Speaker 3: Rural Juror, which I think was in the Billboard top

980
00:54:10,480 --> 00:54:11,400
Speaker 3: forty eight thousand.

981
00:54:12,640 --> 00:54:17,880
Speaker 2: So guys, this is one of the crazy things. Two points.

982
00:54:18,520 --> 00:54:21,440
Speaker 2: Metadata is one of the only reasons that this video

983
00:54:21,680 --> 00:54:24,880
Speaker 2: was proven to be fake because in the metadata it

984
00:54:24,920 --> 00:54:27,719
Speaker 2: said the video was taken on an iPhone six, like

985
00:54:27,800 --> 00:54:31,919
Speaker 2: captured with an iPhone six, But because of the timeline

986
00:54:32,080 --> 00:54:36,240
Speaker 2: of this case when things occurred, it was not possible.

987
00:54:36,640 --> 00:54:39,479
Speaker 2: What do they say here, This is a dreg quote

988
00:54:39,480 --> 00:54:41,640
Speaker 2: from the article, the court found the metadata of one

989
00:54:41,680 --> 00:54:44,560
Speaker 2: of the purportedly real but deep faked videos show that

990
00:54:44,600 --> 00:54:47,279
Speaker 2: the plaintiffs video was captured on an iPhone six, which

991
00:54:47,360 --> 00:54:51,400
Speaker 2: was impossible given that the plaintiff's argument required capabilities only

992
00:54:51,440 --> 00:54:54,240
Speaker 2: available on an iPhone fifteen or newer.

993
00:54:55,040 --> 00:54:57,080
Speaker 3: Oh rookie mistake.

994
00:54:57,719 --> 00:55:00,560
Speaker 2: But isn't that interesting that just that one little slip up.

995
00:55:00,840 --> 00:55:03,560
Speaker 2: It feels to me like courts will have to have

996
00:55:03,680 --> 00:55:09,520
Speaker 2: some kind of appointed person that is an expert of

997
00:55:10,080 --> 00:55:14,680
Speaker 2: a technological expert, and someone can discover during that discovery

998
00:55:14,719 --> 00:55:18,400
Speaker 2: process if anything has been generated it.

999
00:55:19,400 --> 00:55:21,279
Speaker 4: That's right, But we've talked about this too, like it

1000
00:55:21,360 --> 00:55:23,279
Speaker 4: mean you almost have to go step further than that.

1001
00:55:23,320 --> 00:55:26,480
Speaker 4: But it would be really hard to enforce having some

1002
00:55:26,520 --> 00:55:30,279
Speaker 4: sort of watermark on footage that was created organically, like

1003
00:55:30,320 --> 00:55:33,399
Speaker 4: through a lens, or having some way to distinguish between

1004
00:55:33,400 --> 00:55:36,160
Speaker 4: the two. Because we've got ai quote unquote experts. It's

1005
00:55:36,200 --> 00:55:39,040
Speaker 4: a field that's relatively new. To your point about the

1006
00:55:39,080 --> 00:55:42,040
Speaker 4: forensic aspect of it, it's still the rules are being written.

1007
00:55:42,200 --> 00:55:44,120
Speaker 4: They're not able to tell the difference between the fake

1008
00:55:44,160 --> 00:55:47,200
Speaker 4: clip and the real clip. A lot of these experts now.

1009
00:55:47,600 --> 00:55:50,360
Speaker 3: Yeah, Yeah, there was a study we were talking about

1010
00:55:50,400 --> 00:55:52,520
Speaker 3: off air, I can't remember if it made it onto

1011
00:55:52,600 --> 00:55:57,719
Speaker 3: the show regarding the average human beings inability now to

1012
00:55:57,880 --> 00:56:02,040
Speaker 3: differentiate between the unquote real stuff and the quote unquote

1013
00:56:02,040 --> 00:56:08,120
Speaker 3: fake stuff. Historically here in the United States, that role

1014
00:56:08,280 --> 00:56:13,160
Speaker 3: of like forensic it would be divided between the prosecution

1015
00:56:13,360 --> 00:56:18,400
Speaker 3: and the defense, like the It's on the different teams

1016
00:56:18,440 --> 00:56:21,919
Speaker 3: to pay for the cost of that and to have

1017
00:56:21,960 --> 00:56:25,399
Speaker 3: the awareness to engage with it. But I agree with you, Matt,

1018
00:56:25,480 --> 00:56:28,440
Speaker 3: it would be cool and it'd be a very smart

1019
00:56:28,440 --> 00:56:31,640
Speaker 3: move to have someone who is not on either side,

1020
00:56:32,280 --> 00:56:37,680
Speaker 3: just like sitting by the judge and going, that's not

1021
00:56:37,800 --> 00:56:41,319
Speaker 3: really spider Man. Spider Man is actually a made up

1022
00:56:41,840 --> 00:56:44,360
Speaker 3: character from a comic book, so there's no way he

1023
00:56:44,400 --> 00:56:45,879
Speaker 3: could have driven that pass for that.

1024
00:56:45,840 --> 00:56:53,520
Speaker 2: Long case closed, this case is dismissed. Well, yeah, I

1025
00:56:53,840 --> 00:56:55,520
Speaker 2: do agree with you guys. I think there's gonna have

1026
00:56:55,560 --> 00:56:58,000
Speaker 2: to be something like that, especially with the push that's

1027
00:56:58,000 --> 00:57:00,480
Speaker 2: happening for all this AI stuff, which brings us to

1028
00:57:00,719 --> 00:57:03,600
Speaker 2: the last quick thing I want to mention here today,

1029
00:57:03,680 --> 00:57:06,680
Speaker 2: as we're recording on Wednesday, November nineteenth, in Vidia is

1030
00:57:06,680 --> 00:57:10,560
Speaker 2: putting out it's Q three earnings, which it is crazy

1031
00:57:10,680 --> 00:57:17,240
Speaker 2: to know that that one company is essentially the thing

1032
00:57:17,480 --> 00:57:22,080
Speaker 2: upon which all of the AI bubble currently blows. So

1033
00:57:22,400 --> 00:57:28,240
Speaker 2: all the circular investing, all the super hyped folks on X,

1034
00:57:28,280 --> 00:57:31,600
Speaker 2: all the folks that are just so excited about AI,

1035
00:57:32,360 --> 00:57:35,840
Speaker 2: everything rests on how in Nvidia is doing and what

1036
00:57:36,040 --> 00:57:38,840
Speaker 2: people think about how Nvidia is doing.

1037
00:57:38,920 --> 00:57:42,080
Speaker 4: It's because they make the products that drive the AI.

1038
00:57:42,200 --> 00:57:44,480
Speaker 3: They make the actual equipment.

1039
00:57:45,120 --> 00:57:47,400
Speaker 2: In a way, they make part of the equipment that

1040
00:57:47,440 --> 00:57:52,080
Speaker 2: will eventually be the old parts. Like anybody who has

1041
00:57:52,120 --> 00:57:56,160
Speaker 2: ever built a PC of any form before knows you've

1042
00:57:56,160 --> 00:58:00,280
Speaker 2: got a little bit of time before those parts aren't

1043
00:58:00,280 --> 00:58:02,800
Speaker 2: good anymore. Hey, which means they're gonna have to build

1044
00:58:02,840 --> 00:58:04,760
Speaker 2: more AY and people are gonna have to buy more.

1045
00:58:04,840 --> 00:58:08,440
Speaker 2: So maybe that's great. Maybe we all just create chips

1046
00:58:08,760 --> 00:58:12,880
Speaker 2: and build more data centers from now until eternity.

1047
00:58:12,680 --> 00:58:17,280
Speaker 3: Until the water runs out. So weirdly, we are investors

1048
00:58:17,280 --> 00:58:20,080
Speaker 3: across the world and we run to this company and

1049
00:58:20,120 --> 00:58:24,000
Speaker 3: we say, oh, I've got all these eggs, and Nvidia says, great,

1050
00:58:24,040 --> 00:58:25,320
Speaker 3: we've got one basket.

1051
00:58:25,880 --> 00:58:29,680
Speaker 2: Yeah, this is it's insane what humanity is doing right now. Guys,

1052
00:58:29,680 --> 00:58:32,080
Speaker 2: We're just putting that out there. I am looking at

1053
00:58:32,280 --> 00:58:36,400
Speaker 2: three charts here, guys, just because of what's occurring. The

1054
00:58:36,520 --> 00:58:41,200
Speaker 2: first one is the the Nvidia stock price, which you

1055
00:58:41,320 --> 00:58:43,560
Speaker 2: if you go back to twenty twenty three, was worth

1056
00:58:43,600 --> 00:58:47,960
Speaker 2: around fifteen dollars at clothes on this one day. I'm

1057
00:58:48,000 --> 00:58:51,680
Speaker 2: looking at it twelve twenty six, twenty twenty two. It

1058
00:58:51,800 --> 00:58:56,480
Speaker 2: is currently worth one hundred and eighty four dollars as

1059
00:58:56,480 --> 00:58:59,320
Speaker 2: we're recording this per share. You can look at that

1060
00:58:59,480 --> 00:59:02,280
Speaker 2: crazy art and the way that it goes up. You

1061
00:59:02,280 --> 00:59:05,880
Speaker 2: can see the difference between what it was at and

1062
00:59:06,000 --> 00:59:10,440
Speaker 2: all the hype people functioning. I'm also looking at Palenteer.

1063
00:59:10,480 --> 00:59:12,880
Speaker 2: I'm looking at a five year range here. At Palenteer

1064
00:59:12,920 --> 00:59:16,160
Speaker 2: twenty twenty three was worth about six dollars or forty

1065
00:59:16,160 --> 00:59:19,880
Speaker 2: cents per share, currently worth about one hundred and sixty

1066
00:59:20,120 --> 00:59:25,520
Speaker 2: four dollars per share. Also looking at bitcoin, guys, anybody

1067
00:59:25,520 --> 00:59:26,320
Speaker 2: watching bitcoin?

1068
00:59:26,480 --> 00:59:30,560
Speaker 4: Yeah, it sucks. It's tanking right now. Yeah, yeah, it's

1069
00:59:30,640 --> 00:59:34,600
Speaker 4: you know, it's a correction. I'm sorry, it's well, we'll

1070
00:59:34,600 --> 00:59:35,280
Speaker 4: see what happens.

1071
00:59:35,480 --> 00:59:38,600
Speaker 2: It's the if you look at those three charts overlaid,

1072
00:59:38,840 --> 00:59:43,560
Speaker 2: it's the exact same thing. Twenty twenty three worth seventeen

1073
00:59:43,640 --> 00:59:48,440
Speaker 2: thousand dollars per bitcoin currently worth ninety four thousand, ninety

1074
00:59:48,440 --> 00:59:49,040
Speaker 2: five thousand.

1075
00:59:49,080 --> 00:59:50,680
Speaker 4: Well, and it was above one hundred, and the fact

1076
00:59:50,680 --> 00:59:52,880
Speaker 4: that it dropped below one hundred is the big like

1077
00:59:53,080 --> 00:59:53,720
Speaker 4: red flag.

1078
00:59:53,920 --> 00:59:58,160
Speaker 2: Yeah, yeah, yeah. But the story that all of this

1079
00:59:58,280 --> 01:00:01,080
Speaker 2: goes back to and is connected to you comes from

1080
01:00:01,120 --> 01:00:04,600
Speaker 2: CNN Business, written by Alison Morrow on November eighteenth, yesterday,

1081
01:00:04,640 --> 01:00:07,840
Speaker 2: as we record why some elite investors are turning on

1082
01:00:07,880 --> 01:00:11,840
Speaker 2: the darling of the AI rally. This is about in video,

1083
01:00:11,920 --> 01:00:15,720
Speaker 2: which makes up currently eight percent of the total value

1084
01:00:15,840 --> 01:00:18,880
Speaker 2: of the S and P five hundred, those five hundred

1085
01:00:18,880 --> 01:00:22,400
Speaker 2: companies that are the big boys. It makes up eight

1086
01:00:22,560 --> 01:00:26,240
Speaker 2: percent of that thing, which is egregious.

1087
01:00:25,640 --> 01:00:29,080
Speaker 4: By the way, folks, Yes, but it's all shouldn't be allowed.

1088
01:00:29,400 --> 01:00:30,840
Speaker 2: Yeah, but it also makes sense.

1089
01:00:30,880 --> 01:00:31,200
Speaker 4: Guys.

1090
01:00:31,640 --> 01:00:36,000
Speaker 2: The net income annual net income of Nvidia group more

1091
01:00:36,040 --> 01:00:39,080
Speaker 2: than five hundred and eighty percent between twenty twenty three

1092
01:00:39,200 --> 01:00:42,880
Speaker 2: and twenty twenty four. Now, is that because of all

1093
01:00:42,920 --> 01:00:46,200
Speaker 2: the amazing things they're doing or is it because of

1094
01:00:46,240 --> 01:00:49,479
Speaker 2: that hype that investor hype and what they're doing there

1095
01:00:49,800 --> 01:00:50,200
Speaker 2: and then.

1096
01:00:50,160 --> 01:00:54,600
Speaker 3: The Ponzi scheme of circular investing. Yes, I love that

1097
01:00:54,640 --> 01:00:57,560
Speaker 3: you're bringing up that term. We talk a little bit

1098
01:00:57,600 --> 01:00:57,960
Speaker 3: about that.

1099
01:00:58,400 --> 01:01:00,240
Speaker 2: We do need to talk a little bit about that,

1100
01:01:00,280 --> 01:01:02,240
Speaker 2: but first let's talk about the things that are happening,

1101
01:01:02,360 --> 01:01:06,000
Speaker 2: and then why that thing is important that you've been so.

1102
01:01:06,280 --> 01:01:12,040
Speaker 2: Peter Teal, you know him, Yeah, anti anti technology, anti

1103
01:01:12,120 --> 01:01:12,800
Speaker 2: Christ guy.

1104
01:01:13,440 --> 01:01:14,200
Speaker 4: Let's text them.

1105
01:01:14,280 --> 01:01:18,040
Speaker 3: Let's text him now, just an emoji, just to get

1106
01:01:18,120 --> 01:01:18,880
Speaker 3: him with an emoji.

1107
01:01:19,560 --> 01:01:22,080
Speaker 2: This this week, as we're recording, it was made known

1108
01:01:22,120 --> 01:01:24,680
Speaker 2: that at some point in Q three of twenty twenty five,

1109
01:01:25,040 --> 01:01:29,080
Speaker 2: Peter Teal, the hedge fund that he runs, sold the

1110
01:01:29,240 --> 01:01:32,280
Speaker 2: entire stake that it held in Nvidia, all five hundred

1111
01:01:32,320 --> 01:01:35,400
Speaker 2: and thirty seven seven hundred and forty two shares worth

1112
01:01:35,440 --> 01:01:38,360
Speaker 2: around one hundred million dollars. So he got out of

1113
01:01:38,360 --> 01:01:41,720
Speaker 2: in Nvidia, which is kind of a crazy thing considering

1114
01:01:41,800 --> 01:01:45,440
Speaker 2: who he is and what he's into. And then this

1115
01:01:45,560 --> 01:01:48,880
Speaker 2: other thing. Soft Bank just made an announcement that it

1116
01:01:49,000 --> 01:01:51,880
Speaker 2: sold all of its in Vidia holdings worth around five

1117
01:01:51,920 --> 01:01:55,320
Speaker 2: point eight billion. Now soft Bank says, well, that's to

1118
01:01:55,480 --> 01:01:58,280
Speaker 2: invest in other AI stuff. So they're just taking it

1119
01:01:58,360 --> 01:02:01,960
Speaker 2: out of in Video's AI hype beast thing and putting

1120
01:02:02,000 --> 01:02:06,040
Speaker 2: it into a different one. Uh, then the last one,

1121
01:02:06,760 --> 01:02:10,440
Speaker 2: which is really interesting. Here, guys, a dude named Michael Burry.

1122
01:02:10,480 --> 01:02:12,360
Speaker 2: Do we remember who Michael Burry is?

1123
01:02:13,280 --> 01:02:13,640
Speaker 4: I don't know.

1124
01:02:13,720 --> 01:02:16,360
Speaker 3: I remember the name the other Warren Buffett.

1125
01:02:16,600 --> 01:02:19,120
Speaker 2: Did we ever see a movie called The Big Short?

1126
01:02:19,520 --> 01:02:20,720
Speaker 3: I do recall The Big Short.

1127
01:02:20,800 --> 01:02:24,960
Speaker 2: Yes, Michael Burry is the guy from The Big Short

1128
01:02:25,080 --> 01:02:28,320
Speaker 2: who realized, oh, there's a housing bubble and I need

1129
01:02:28,320 --> 01:02:31,360
Speaker 2: to make put options on this housing market.

1130
01:02:31,720 --> 01:02:32,600
Speaker 4: Well who played him?

1131
01:02:32,800 --> 01:02:33,680
Speaker 3: Was it Christian Bale?

1132
01:02:33,760 --> 01:02:35,720
Speaker 2: Christian Bale played Michael Burry?

1133
01:02:36,320 --> 01:02:36,440
Speaker 6: Uh?

1134
01:02:36,680 --> 01:02:36,880
Speaker 4: Well?

1135
01:02:39,160 --> 01:02:39,280
Speaker 6: Uh.

1136
01:02:39,440 --> 01:02:42,480
Speaker 2: He is also getting out of Nvidia by putting put

1137
01:02:42,520 --> 01:02:46,240
Speaker 2: options on the company. He's also putting put options on Palanteer.

1138
01:02:47,000 --> 01:02:50,240
Speaker 4: He the options meaning you're basically betting that the stock

1139
01:02:50,280 --> 01:02:51,160
Speaker 4: will go down.

1140
01:02:51,440 --> 01:02:54,240
Speaker 2: Yes, but by a certain extent or a certain percentage

1141
01:02:54,320 --> 01:02:54,600
Speaker 2: or it.

1142
01:02:55,800 --> 01:02:58,360
Speaker 4: Sounds like gambling stuff, guys. I mean it really always.

1143
01:02:58,040 --> 01:03:00,240
Speaker 3: Has gambling it does.

1144
01:03:00,360 --> 01:03:03,600
Speaker 2: But here, to me is the craziest thing. This guy,

1145
01:03:03,880 --> 01:03:07,240
Speaker 2: the Big Short guy, sure put these put investments and

1146
01:03:07,320 --> 01:03:11,840
Speaker 2: then he shut down his hedge fund and he said,

1147
01:03:11,960 --> 01:03:16,120
Speaker 2: I no longer understand valuations in the stock market because

1148
01:03:16,480 --> 01:03:20,640
Speaker 2: the valuations are no longer make rational sense according to

1149
01:03:20,680 --> 01:03:23,520
Speaker 2: the metrics that are generally used that like Harvard Business

1150
01:03:23,520 --> 01:03:26,800
Speaker 2: School tells you how to valuate the company. That's not

1151
01:03:26,840 --> 01:03:29,040
Speaker 2: how it works, no more. It don't work like that

1152
01:03:29,120 --> 01:03:32,680
Speaker 2: no more. Now it's just what do we all believe? Guys?

1153
01:03:33,120 --> 01:03:33,840
Speaker 2: Is it this thing?

1154
01:03:34,280 --> 01:03:35,960
Speaker 4: Whoa right?

1155
01:03:36,040 --> 01:03:40,200
Speaker 3: And who gets stuck in the stone chair at the end? Right?

1156
01:03:40,440 --> 01:03:41,800
Speaker 4: How do we surf the wave?

1157
01:03:41,920 --> 01:03:45,920
Speaker 3: How do we ride the bubble before it pops on us?

1158
01:03:45,640 --> 01:03:49,120
Speaker 2: It's sorry, guys, I'm just putting that out there because

1159
01:03:49,160 --> 01:03:52,280
Speaker 2: it's insane. It feels like we're all caught in some

1160
01:03:52,400 --> 01:03:59,120
Speaker 2: kind of collective hallucinations. Yeah, but a hallucination about what

1161
01:03:59,320 --> 01:04:01,920
Speaker 2: we want future to be and somehow.

1162
01:04:01,520 --> 01:04:04,680
Speaker 4: We sign is maybe a better word for it.

1163
01:04:04,680 --> 01:04:07,360
Speaker 2: It's a no win situation here, this AI thing.

1164
01:04:07,760 --> 01:04:11,360
Speaker 3: It's unsustainable for sure. It's untenable as it due to

1165
01:04:11,520 --> 01:04:16,920
Speaker 3: we talked about this previously, like the technology the social environment, right,

1166
01:04:17,200 --> 01:04:21,200
Speaker 3: the social contract has to evolve in step with the technology.

1167
01:04:21,680 --> 01:04:24,840
Speaker 3: So now, if we think about it, like assembling a

1168
01:04:25,160 --> 01:04:28,760
Speaker 3: PC or a gaming rig at home, your components have

1169
01:04:28,840 --> 01:04:32,840
Speaker 3: to work together, and in this case, for multiple reasons,

1170
01:04:33,200 --> 01:04:37,240
Speaker 3: different components are not playing nice with each other. Right,

1171
01:04:37,560 --> 01:04:41,200
Speaker 3: But the stock market is an old idea A lot

1172
01:04:41,240 --> 01:04:45,560
Speaker 3: of the systems and mechanisms involved are antiquated and this

1173
01:04:45,680 --> 01:04:47,120
Speaker 3: is the new new stuff.

1174
01:04:47,720 --> 01:04:49,080
Speaker 4: Like I don't know.

1175
01:04:49,120 --> 01:04:53,320
Speaker 3: I was going back to Warren Buffett for anybody who

1176
01:04:53,960 --> 01:04:59,440
Speaker 3: follows the buffet, right, he is a fan of Nvidia,

1177
01:05:00,160 --> 01:05:03,720
Speaker 3: but they're not investing in it. And a lot of

1178
01:05:03,760 --> 01:05:09,880
Speaker 3: people are reading tea leaves over that one. Mmmmm, Warren,

1179
01:05:12,080 --> 01:05:13,880
Speaker 3: why did I say his name in italics?

1180
01:05:14,160 --> 01:05:16,640
Speaker 4: Well, it should text him to send them the opposite

1181
01:05:16,720 --> 01:05:18,440
Speaker 4: text them, okay, different emoji.

1182
01:05:18,640 --> 01:05:23,080
Speaker 2: Well, open AI has an IPO coming, an initial public offering,

1183
01:05:23,320 --> 01:05:25,920
Speaker 2: that is, you know, it's the valuation is like a

1184
01:05:25,960 --> 01:05:29,600
Speaker 2: trillion dollars or something. But none of these companies are

1185
01:05:29,920 --> 01:05:32,080
Speaker 2: making the money that they should be making to be

1186
01:05:32,160 --> 01:05:37,040
Speaker 2: valued at that at that height, that insane level. Well,

1187
01:05:37,080 --> 01:05:39,440
Speaker 2: at least the companies that are, like the software companies

1188
01:05:39,520 --> 01:05:43,000
Speaker 2: right using these llms to do things or attempting to

1189
01:05:43,680 --> 01:05:47,240
Speaker 2: AIFI all of the crap that you use. I like

1190
01:05:47,320 --> 01:05:52,200
Speaker 2: that AI it's it's in video is the only one

1191
01:05:52,200 --> 01:05:55,480
Speaker 2: that's actually producing stuff right now. You know, of all

1192
01:05:55,480 --> 01:05:57,680
Speaker 2: these companies, well, there's there's they're a bunch of AI companies.

1193
01:05:57,680 --> 01:05:59,480
Speaker 2: They are doing a bunch of things. But that's the

1194
01:05:59,480 --> 01:06:02,400
Speaker 2: big one that's making stuff. Everybody else is trying to

1195
01:06:02,400 --> 01:06:06,280
Speaker 2: find a way to make money, and it feels like

1196
01:06:06,320 --> 01:06:08,200
Speaker 2: it's going to keep happening until.

1197
01:06:09,560 --> 01:06:12,240
Speaker 4: In Vidia makes graphics cards. I mean, they make other

1198
01:06:12,320 --> 01:06:15,360
Speaker 4: computer components too. I mean, I guess I always looked

1199
01:06:15,400 --> 01:06:18,000
Speaker 4: at them as at least somewhat more of a safe bed,

1200
01:06:18,040 --> 01:06:21,919
Speaker 4: because they're not just you know, AI vaporware. They make

1201
01:06:22,480 --> 01:06:23,840
Speaker 4: products that.

1202
01:06:23,640 --> 01:06:28,160
Speaker 2: That's what sells well. Right, But maybe maybe they shouldn't

1203
01:06:28,200 --> 01:06:32,200
Speaker 2: be valued at four point five trillion dollars and maybe

1204
01:06:32,240 --> 01:06:37,120
Speaker 2: their stock price should actually be around seventy five dollars maximum.

1205
01:06:37,160 --> 01:06:39,960
Speaker 3: But you know whatever, you know what we need for this, guys,

1206
01:06:40,760 --> 01:06:45,760
Speaker 3: we need a city raccoon in charge of Nvidia. We

1207
01:06:45,840 --> 01:06:50,439
Speaker 3: need like a schemer with little hands who's nimble. Surprisingly,

1208
01:06:52,640 --> 01:06:55,240
Speaker 3: I just bring it back raccoons, because at this point,

1209
01:06:55,680 --> 01:06:57,440
Speaker 3: you're right, Beaty or dillit.

1210
01:06:57,560 --> 01:06:58,880
Speaker 4: It is surreal.

1211
01:06:59,720 --> 01:07:02,920
Speaker 3: It is not tenable, it is not sustainable. There is

1212
01:07:02,960 --> 01:07:05,920
Speaker 3: a horizon, and I suspect that horizon has a cliff

1213
01:07:05,960 --> 01:07:06,400
Speaker 3: at the end.

1214
01:07:06,840 --> 01:07:10,880
Speaker 4: I guess what I'm getting at is, like, personally, investment wise,

1215
01:07:10,960 --> 01:07:13,720
Speaker 4: I've always just only been comfortable investing in stuff that

1216
01:07:13,760 --> 01:07:17,560
Speaker 4: makes stuff that like you know, actually has a product

1217
01:07:17,640 --> 01:07:20,800
Speaker 4: or service and it isn't just like this concept that

1218
01:07:21,120 --> 01:07:23,920
Speaker 4: has the potential to completely implode.

1219
01:07:24,080 --> 01:07:28,920
Speaker 2: Well, I'm sitting here talking to you as a non investor.

1220
01:07:29,360 --> 01:07:32,520
Speaker 2: I have not invested in any company, not a single one,

1221
01:07:32,680 --> 01:07:35,800
Speaker 2: none of this stuff. I think I have a four

1222
01:07:35,840 --> 01:07:39,840
Speaker 2: to h one K that runs on energy stuff that

1223
01:07:39,880 --> 01:07:41,920
Speaker 2: I set up when I was a kid, you know,

1224
01:07:42,080 --> 01:07:43,960
Speaker 2: because we've been working at this company for a long

1225
01:07:44,000 --> 01:07:48,400
Speaker 2: long time. But what has to happen, I thank you guys,

1226
01:07:48,520 --> 01:07:51,800
Speaker 2: is there has to be a major crash. And it

1227
01:07:51,880 --> 01:07:54,480
Speaker 2: is horrifying because Ben, you're absolutely right, and what you

1228
01:07:54,480 --> 01:07:57,320
Speaker 2: were talking about the cliff, that cliff now because in

1229
01:07:57,360 --> 01:07:59,600
Speaker 2: Nvidia is so huge paleteer and all these companies are

1230
01:07:59,640 --> 01:08:04,920
Speaker 2: so huge, it's going to be devastating for everybody who's invested,

1231
01:08:05,000 --> 01:08:08,360
Speaker 2: for everybody who has a pension, for everybody. It's it's

1232
01:08:08,360 --> 01:08:11,360
Speaker 2: just going to be it's going to be horrifying. But

1233
01:08:11,440 --> 01:08:14,080
Speaker 2: it'll at least wake us up to realize, oh, this

1234
01:08:14,240 --> 01:08:15,080
Speaker 2: is not the way.

1235
01:08:16,400 --> 01:08:19,000
Speaker 4: Well, unless you think we're telling you to like divest

1236
01:08:19,080 --> 01:08:22,599
Speaker 4: everything from your four oh one K or like liquidate everything,

1237
01:08:22,640 --> 01:08:26,800
Speaker 4: I mean dependent advisors, certainly, Well, what I'm also saying, though,

1238
01:08:26,840 --> 01:08:28,680
Speaker 4: is like, and I don't sound like the I mean,

1239
01:08:28,720 --> 01:08:30,720
Speaker 4: I'm just being devil's advocate here. Is like, if you're

1240
01:08:30,880 --> 01:08:34,280
Speaker 4: young enough, like you know, people that panic sell in

1241
01:08:34,320 --> 01:08:36,880
Speaker 4: these situations, and that's also a way to lose everything.

1242
01:08:36,880 --> 01:08:38,680
Speaker 4: But if you're young enough, these things do have a

1243
01:08:38,720 --> 01:08:41,160
Speaker 4: way of ebbing and flowing, and they're called corrections for

1244
01:08:41,200 --> 01:08:42,519
Speaker 4: a reason. But I don't know.

1245
01:08:43,720 --> 01:08:47,480
Speaker 3: Yeah, it's a it's a very interesting religion the economy.

1246
01:08:48,680 --> 01:08:48,960
Speaker 4: Yep.

1247
01:08:49,560 --> 01:08:50,439
Speaker 2: And that's all I got.

1248
01:08:50,439 --> 01:08:55,120
Speaker 3: Guys, we are so excited that you have joined us

1249
01:08:55,160 --> 01:08:59,400
Speaker 3: here again. Happy Thanksgiving to all who celebrate. This is

1250
01:08:59,520 --> 01:09:03,040
Speaker 3: ours strange news program. We can't wait to hear from you.

1251
01:09:03,400 --> 01:09:06,200
Speaker 3: If there is something in this weekly segment that you

1252
01:09:06,320 --> 01:09:09,080
Speaker 3: think should be a full episode, we'd love to hang

1253
01:09:09,160 --> 01:09:11,479
Speaker 3: with you and hear your thoughts. We can't wait for

1254
01:09:11,520 --> 01:09:14,720
Speaker 3: you to tune in to our listener mail program, where

1255
01:09:14,760 --> 01:09:17,640
Speaker 3: we have such wonders to show you and speaking to

1256
01:09:17,680 --> 01:09:20,599
Speaker 3: shows we'd like you to be part of ours. Find

1257
01:09:20,680 --> 01:09:23,639
Speaker 3: us on the emails, call us on the phones, find

1258
01:09:23,680 --> 01:09:24,479
Speaker 3: us on the lines.

1259
01:09:24,640 --> 01:09:26,800
Speaker 4: Indeed, I just want to mention one last little thing.

1260
01:09:26,840 --> 01:09:29,040
Speaker 4: There is at this point where we sit and record

1261
01:09:29,320 --> 01:09:32,759
Speaker 4: the number one country music song on the Billboard Country

1262
01:09:32,800 --> 01:09:36,360
Speaker 4: Digital Song Sales Chart was created by AI. It is

1263
01:09:36,400 --> 01:09:41,360
Speaker 4: called Walk My Walk by Breaking Rust, and the real

1264
01:09:41,360 --> 01:09:44,800
Speaker 4: country performers are not loving it. I can tell you that.

1265
01:09:45,040 --> 01:09:48,000
Speaker 4: So check that out if you wish, or don't, but

1266
01:09:48,080 --> 01:09:50,040
Speaker 4: do reach out to us at the handle Conspiracy Stuff

1267
01:09:50,040 --> 01:09:52,080
Speaker 4: where we exist on Facebook with our Facebook group Here's

1268
01:09:52,080 --> 01:09:55,120
Speaker 4: where it gets crazy, on xfka, Twitter, and on YouTube

1269
01:09:55,479 --> 01:09:58,120
Speaker 4: where we have video content for your perusing enjoyment. On

1270
01:09:58,160 --> 01:10:00,479
Speaker 4: Instagram and TikTok, we're Conspiracy st Show.

1271
01:10:02,040 --> 01:10:04,679
Speaker 2: We have a phone number. It is one eight three

1272
01:10:04,800 --> 01:10:09,080
Speaker 2: three st d w y t K. When you call in,

1273
01:10:09,439 --> 01:10:12,120
Speaker 2: won't you tell us what you're thankful for? Boys? What

1274
01:10:12,160 --> 01:10:16,720
Speaker 2: are we thankful for the Internet. I'm thankful for high

1275
01:10:16,800 --> 01:10:19,920
Speaker 2: quality sound absorbing sponge. This is great stuff.

1276
01:10:20,760 --> 01:10:21,920
Speaker 4: It's because it's the best.

1277
01:10:22,400 --> 01:10:23,000
Speaker 3: Gotta have it.

1278
01:10:23,120 --> 01:10:26,000
Speaker 2: You gotta have, all right, anyway, call us and tell

1279
01:10:26,040 --> 01:10:29,320
Speaker 2: us what you're thankful for. Hey, you could also reach

1280
01:10:29,360 --> 01:10:30,800
Speaker 2: out to us and tell us what you're thankful for

1281
01:10:30,840 --> 01:10:31,439
Speaker 2: on email.

1282
01:10:31,600 --> 01:10:34,800
Speaker 3: We are the entities the read each piece of correspondence

1283
01:10:34,840 --> 01:10:38,799
Speaker 3: we receive. Be well aware, yet unafraid. Sometimes the void

1284
01:10:39,040 --> 01:10:42,360
Speaker 3: writes back. Send us some uh, send us some cool

1285
01:10:42,720 --> 01:10:46,280
Speaker 3: holiday food recipes by the way, and thanks for everybody

1286
01:10:46,360 --> 01:10:51,440
Speaker 3: who sent a picture of their pets conspiracy at iHeartRadio

1287
01:10:51,560 --> 01:11:10,640
Speaker 3: dot com.

1288
01:11:10,800 --> 01:11:12,839
Speaker 2: Stuff they Don't Want You to Know is a production

1289
01:11:12,960 --> 01:11:17,479
Speaker 2: of iHeartRadio. For more podcasts from iHeartRadio, visit the iHeartRadio app,

1290
01:11:17,560 --> 01:11:20,439
Speaker 2: Apple Podcasts, or wherever you listen to your favorite shows.