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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 this 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 Noelah.

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Speaker 3: They call me Bed, and we are joined as always

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

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Speaker 3: you are you. You are here. That makes this the

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Speaker 3: stuff they don't want you to know. No, no, yes,

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Speaker 3: our yes, yes, it is true. The rumors have been confirmed.

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Speaker 3: This is our weekly strange news program. If you're listening

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Speaker 3: to it the evening it comes out. Welcome to Monday,

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Speaker 3: October twenty eighth. We have so much to get to you.

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Speaker 3: We're probably not going to get to all of it,

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Speaker 3: but that's just the beautiful problem to have. Boeing is

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Speaker 3: blowing up. North Korea's up the high jinks. We got

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Speaker 3: some bank stories, we got some counterfeit whale sharks, we

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Speaker 3: got all kinds of stuff for you. But the first

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Speaker 3: thing we have to talk about. We don't want to

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Speaker 3: sound like Dick's here. Another Russian oligarc was found dead

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Speaker 3: in Moscow. Quite recently, Ben saying, so do you guys

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Speaker 3: know how he died?

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Speaker 2: It's the word of the day.

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Speaker 4: Cheezy, geezy.

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Speaker 2: I thought you were going to say, defended it.

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Speaker 5: I literally just guessed, Ben, I assume that's what you

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Speaker 5: were pointing to, sign posting a little bit.

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Speaker 4: But is it really true?

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Speaker 3: Yes? Yeah?

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Speaker 4: How are they this unriginal? Is my first question?

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Speaker 3: Well, if you know, if you got something that works,

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Speaker 3: it works right?

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Speaker 5: It doesn't doesn't that seem a little dicey though, like

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Speaker 5: you could survive a fallout of a window if it

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Speaker 5: was I mean, how high are we talking?

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Speaker 4: Are we talking like skyscraper window?

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Speaker 3: Yeah? And also it appears that what a terrible run

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Speaker 3: of luck this guy had. When Mikhail Rogachev, who was

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Speaker 3: sixty four, fell out of the window, the back of

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Speaker 3: his head hit a bullet as well. So it didn't No,

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Speaker 3: it didn't mean it okay, time you got.

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Speaker 4: Right time, wrong time, right place.

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Speaker 3: I don't know, it's something, but you did nail it there, Noel, Yes,

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Speaker 3: unfortunately fell out of a window. The reason that we

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Speaker 3: said the word of the day was cheesy. For a second,

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Speaker 3: there is unrelated, much more positive experience had it at

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Speaker 3: Chick fil a yesterday where I accidentally said the secret word,

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Speaker 3: which was cheesy, and they gave us mac and cheese.

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Speaker 3: We had a really robust Chick fil A conversation before

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Speaker 3: he rolled today.

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Speaker 5: Question, did you just say it in the course of

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Speaker 5: normal conversation whilst waiting in line?

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Speaker 3: I was at the counter. I was just making conversation

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Speaker 3: with A.

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Speaker 5: I guess I got to know how you naturally arrived

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Speaker 5: at saying the word cheesy.

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Speaker 2: Ben Ben said, how cheesy is this mac and cheese?

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Speaker 2: That was his intention? You only got the cheese.

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Speaker 3: Shut up, you absol bad jokes. Give this man cheese.

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Speaker 3: Well still we are we are encountering some levity. But

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Speaker 3: to the point, folks, if you have followed our show

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Speaker 3: at all, uh, you know that the defenestration in Russia

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Speaker 3: is at this point beyond the problem. Like it's now

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Speaker 3: it's a meme, isn't it not?

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Speaker 5: Since the famed defenestration of Prague have we had this

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Speaker 5: level of a window throwing epidemic.

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Speaker 2: We we do realize a man has died.

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Speaker 3: Yeah, it's just.

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Speaker 5: You can't not have a little gallows humor around this pattern.

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Speaker 5: It's just again I come back to, like, is there

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Speaker 5: not another way? Is there not a better way? Whose

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Speaker 5: idea is this is this one particular hit squad that

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Speaker 5: this is just there like signature.

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Speaker 3: Move it's other intellig agencies do it as well, or

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Speaker 3: criminal organizations. Because it's simple and it's relatively full proof.

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Speaker 4: You could also blame it on the individual doing it to.

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Speaker 3: Themselves, right, right, Uh, And it's just much more reliable

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Speaker 3: than say, having to obtain polonium. But you can still

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Speaker 3: you know, it still does signal something. You're a bullet

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Speaker 3: to the back of the head. Right, You're supposed to

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Speaker 3: know that. You're supposed to know who did it. You

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Speaker 3: know what I mean? Wait a minute, wait, what do

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Speaker 3: you mean by that?

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Speaker 4: Like it is it is?

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Speaker 5: It is meant to send a signal? And yeah, there

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Speaker 5: is plausible deniability as right, Okay, right.

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Speaker 3: Exactly, And while we're talking Russia, we'll consider this our

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Speaker 3: cold open and we'll finally get to the holy war. Yeah,

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Speaker 3: and we're back. I've been over using the phrase holy war,

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Speaker 3: you guys. It's just it's got such gravitas. But I

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Speaker 3: need to stop calling every disagreement I have with someone

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Speaker 3: a holy war.

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Speaker 5: I also think the term outrage has been largely overused

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Speaker 5: in the press. There's a podcast I listen to called

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Speaker 5: weird af News, and the dude that hosts it pointed

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Speaker 5: this out and I couldn't help but completely agree, Like

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Speaker 5: it is a I've got outrage over the use of

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Speaker 5: the term outrage.

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Speaker 3: Yeah, it's kind of like all the political hit pieces

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Speaker 3: where they use these crazy verbs like so and so

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Speaker 3: slams blah blah blah. What's another one?

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Speaker 5: Well, but I guess the problem with outrage is usually

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Speaker 5: used around relatively innocuous things. People are outraged over the

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Speaker 5: overuse of condiments, you know.

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Speaker 3: Like yeah, yeah, people are outraged by ticket prices or

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Speaker 3: by a celebrity ephemera. This Holy war is a very

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Speaker 3: different thing that it is a direct quote from the

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Speaker 3: nation of North Korea because they say that they are

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Speaker 3: launching a holy war against South Korea. They d as

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Speaker 3: of this month, they have mobilized or they claim to

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Speaker 3: have mobilized one point four million citizens, mostly young people,

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Speaker 3: and also pulling folks back into serving in the military,

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Speaker 3: and they're calling South Korea a nation of confrontational maniacs

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Speaker 3: and criminals. They've also destroyed roads connecting the two Koreas,

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Speaker 3: which is not a great idea if you're trying to invade,

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Speaker 3: because then you're just gonna have to use the tunnels,

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Speaker 3: and the tunnels kind of suck for anybody who's been

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Speaker 3: in them. And I think it's strange that we're seeing

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Speaker 3: so much news about North Korea now because you guys

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Speaker 3: saw also this is occurring in step with North Korean

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Speaker 3: forces being loaned out to the Russian Army, right, we

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Speaker 3: all saw that. Yep.

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Speaker 2: It's a weird feeling. It's a really weird feeling.

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Speaker 3: Ben.

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Speaker 2: I can't even tell you how little I knew about

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Speaker 2: North Korea until the first time you brought it up

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Speaker 2: and we had a long conversation about the DPRK and

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Speaker 2: just the weirdness with their relations to other countries and

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Speaker 2: the tensions that kind of ebb and flow in some

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Speaker 2: weird little political machine that never really does anything. In

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Speaker 2: my mind, you tell me if I'm wrong here, but

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Speaker 2: in my mind, this is the first time I've seen

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Speaker 2: North Korea stepping out for some kind of hot conflict.

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Speaker 3: Uh yeah, I mean there's the Korean War, but.

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Speaker 2: Well, yeah, I guess since the court Korean War. In

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Speaker 2: my mind, like, yeah, when have they left and mobilized

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Speaker 2: troops to go, you know, enter another country.

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Speaker 3: Yeah, exceedingly rare. And that's a good point because usually

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Speaker 3: they're foreign activities away from their home soil are going

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Speaker 3: to be espionage and criminal attempts, you know what I mean,

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Speaker 3: like moving those counterfeit supernotes. And yeah, we shouldn't even

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Speaker 3: call those counterfeit because they are higher quality than the

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Speaker 3: actual US one hundred dollars bill. We'll just call them

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Speaker 3: super We just called them the soups. Yeah, this is strange,

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Speaker 3: and I posit to all of us listening that the

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Speaker 3: heightened tensions between DPRK and South Korea are somehow part

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Speaker 3: of the ever cozier relationship between Russia and North Korea.

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Speaker 3: There's a game going on, and you can kind of

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Speaker 3: susus out what's happening by contextualizing the headlines. But we

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Speaker 3: know that the President of Ukraine, Zelenski, recently said, look,

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Speaker 3: Russia is going to be getting ten thousand North Korean

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Speaker 3: soldiers to join the war. The US has confirmed that

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Speaker 3: this intel looks legit. South Korea's spy agency has said

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Speaker 3: fifteen hundred troops have already arrived in Russia, could be

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Speaker 3: more like twelve thousand when it's all said and done,

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Speaker 3: so it sounds like they made a deal, and part

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Speaker 3: of that deal was giving the cold shoulder again to

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Speaker 3: their southern neighbors, South Korea. Plus you know, heavy US

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Speaker 3: presence in South Korea, so it makes sense. But my

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Speaker 3: question here is how often does this kind of thing happen?

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Speaker 3: Should these guys be considered mercenaries for the purpose of

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Speaker 3: Geneva or should they be considered, like I mean, soldiers.

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Speaker 5: I don't know when was the last time that the

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Speaker 5: Geneva Convention was like properly in forest.

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Speaker 3: I don't know.

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Speaker 5: Yeah, I hate to be irolly about that, but I

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Speaker 5: just it's almost like a mood point.

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Speaker 2: Well, it's a good question.

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Speaker 3: No.

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Speaker 2: I worried that I get caught up in my own

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Speaker 2: little mental gymnastics when it comes to that kind of thing,

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Speaker 2: like like maybe these guys aren't, you know, officially doing

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Speaker 2: this kind of thing, and maybe it's not like that,

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Speaker 2: But in the end, it's the same way I feel

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Speaker 2: about the United States and Ukraine and all the conflicts

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Speaker 2: are going on over there, like what are the lines

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Speaker 2: really when it's a official government money from any government

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Speaker 2: that ends up being the thing that gets human beings

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Speaker 2: to you know, a fighting place. Ultimately it's the country.

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Speaker 3: I don't know. Yeah, it's a tough one. And this

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Speaker 3: is this is one of those things where it's a

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Speaker 3: conversational grenade. We're sort of tossing your way, folks. We

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Speaker 3: want you to tell us what's going on, especially if

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Speaker 3: you have experience in Russia or in the Koreas, and

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Speaker 3: tell us if there is indeed a great game afoot.

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Speaker 3: But with moving on, because we're you know, doing some

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Speaker 3: rapid fire things, we'll give you some good news. Well,

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Speaker 3: it depends on how you feel. ICP. That's one for

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Speaker 3: the Juggalos. They have officially endorsed.

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Speaker 4: The insane clown Posse.

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Speaker 3: Yes, yes, yes, put some respect on their name. They

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Speaker 3: have they have officially given the Juggalo endorsement to a

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Speaker 3: political candidate. That candidate is Harris. So this has probably

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Speaker 3: ruffled a lot of feathers. They tuned. Just that's our

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Speaker 3: Juggalo update. I don't know if I'm going to sound

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Speaker 3: you for that. Dylan magnus oh.

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Speaker 2: I said around that video of Violent Jay on The

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Speaker 2: Daily Show, reacting to I was all the candidates in

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Speaker 2: like face paint, jugglo face paint oh yeah, and uh

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Speaker 2: the reactionally had to Walls was Walls.

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Speaker 4: He said, didn't he say?

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Speaker 3: Who is it? I don't know, he said, I am

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Speaker 3: completely opinionless.

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Speaker 2: Yes, I have absolutely zero opinion on that man's uh so,

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Speaker 2: I mean the man likes fried food, you know, so

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Speaker 2: I would think that would get the Juggalo seal of

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Speaker 2: approval on a song.

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Speaker 3: I yeah, Well, why has neither party gotten out in

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Speaker 3: front of this? Where is the accountability? Where's their fago platform?

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Speaker 3: These are real questions, right, and Harris and Trump both

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Speaker 3: refuse to answer to the issues.

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Speaker 4: Is Michigan a swing state?

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Speaker 3: Yeah?

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Speaker 5: Baby, it is really so obviously. I mean, Detroit is

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Speaker 5: where the insane clown Posse hails from. I don't know

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Speaker 5: the political makeup of Detroit. I feel like maybe because

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Speaker 5: of the auto industry, it's a lot of blue collar

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Speaker 5: folks who maybe.

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Speaker 4: Are more on the Republican side. I really don't know.

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Speaker 5: I just I'm trying to like think about this as

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Speaker 5: an actual swear of votes. I wonder that would be

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Speaker 5: really interesting if it had like the ICP effect, you

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Speaker 5: know what I mean?

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Speaker 3: Yeah, Well, and you know it's it's two guys who

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Speaker 3: they violent Jay and Shaggy Chagny two Dope, Shaggy too dope.

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Speaker 3: Maybe at lockerheads, you know, they don't always move in step.

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Speaker 3: Just because they work together will happen.

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Speaker 5: But this is they are presenting a unified front here though, right,

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Speaker 5: this is the Juggalos or this is the insane clown posse.

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Speaker 3: Of the insane clown posse is the best.

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Speaker 4: Way only Violent J has made.

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Speaker 5: Okay, this is not a unilateral endorsement from the entirety

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Speaker 5: of ICP.

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Speaker 4: We have it heard from J. We haven't heard from

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Speaker 4: Where is violent J.

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Speaker 5: You know this?

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Speaker 3: So let us know your opinions on the pressing political matters.

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Speaker 2: Let us know I weighed in either.

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Speaker 3: Since yeah, so update us with that. And also let

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Speaker 3: us do your favorite weird celebrity opinions, because I love

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Speaker 3: it when someone quotes a celebrity for no reason. They

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Speaker 3: just happen to be accessible to the news. It happens

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Speaker 3: all the time in Atlanta. And this is no disrespect

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Speaker 3: to the various musicians we've seen interviewed about things. But

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Speaker 3: they'll say, oh, okay, and here's blah blah blah blah blah.

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Speaker 3: This is a very complex geo political issue and we

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Speaker 3: ran into Ti the entertainer, Yes, entertainer very smart too

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Speaker 3: also by the way, but with one more piece before

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Speaker 3: you go to ad break, this is something we should

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Speaker 3: maybe describe as we called it. And unfortunately when we

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Speaker 3: make some of these predictions, they're usually about terrible things.

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Speaker 3: And this is where we get to the story of

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Speaker 3: Abercrombie and Fitch.

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Speaker 5: Yeah, man, don't I don't think we are the only

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Speaker 5: ones who called it.

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Speaker 4: I think those ad campaigns called it.

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Speaker 2: Bro I mean, dude, well, that that's the thing. And

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Speaker 2: when we even thought about it and started thinking about

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Speaker 2: this thing, people have been writing about this, student telling

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Speaker 2: tales about this.

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Speaker 3: The flights, I remember the flights, the flight you have

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Speaker 3: to have no problem, the uniform, the uh, yeah, it was.

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Speaker 3: It was already always uber creepy. But now the FBI

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Speaker 3: has cracked down on uh Mike Jefferies, the former CEO,

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Speaker 3: his partner Matt Smith, and a third guy named Jim Jacobson. Uh.

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Speaker 3: They have been accused of operating an international sex trafficking ring. Yeah,

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Speaker 3: and further through coercion, through like getting you know, dangling

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Speaker 3: the promise of becoming a model or a celebrity to

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Speaker 3: give some sort and then making folks sign up for

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Speaker 3: these getaways and places around the world, and then not

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Speaker 3: allowing them to leave, forcing forcing certain drugs on them,

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Speaker 3: like poppers and what was it poppers via agra or

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Speaker 3: something else too, then pushing them into sexual acts. So

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Speaker 3: this was a salt that it's it's just way worse

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Speaker 3: than I think we it assumed, right, I didn't know

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Speaker 3: it had that level of structure to it. Dumb question.

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Speaker 5: Maybe is Abercrombie and Fits still a brand? Do they

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Speaker 5: still have like brick and Border stores? It's still okay,

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Speaker 5: it's still very much a thing.

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Speaker 2: I was been willing at the Mall of Georgia not

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Speaker 2: that long ago.

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Speaker 3: And Jefferys is again former seed okay, unconnected.

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Speaker 2: And those stores, by the way, smell exactly as you

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Speaker 2: remember them.

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Speaker 5: They the same they have I would hope toned down

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Speaker 5: the orderline.

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Speaker 4: Pornographic kind of homo erotic nature of the ads.

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Speaker 2: Oh, I don't know about that. This was the Abercrombie kids.

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Speaker 4: You're fair enough, are you saying they have not? I mean, look,

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Speaker 4: because it used to be bad.

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Speaker 5: It was like very scantily clad boys in like kind

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Speaker 5: of homo erotic type situations. I'm having a hard time

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Speaker 5: figuring out how to say this. But you know, the

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Speaker 5: ad campaigns, it wasn't the homo eroticness of.

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Speaker 3: It that was off.

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Speaker 4: It was the like age presentation of these models.

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Speaker 6: It felt a little on the young side, and the

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Speaker 6: type of cavorting that were portrayed did not feel like

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Speaker 6: it was taking place from consenting adults.

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Speaker 3: Let's just put it down. Yeah, over sexualization of young men.

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Speaker 3: It's the same reason. I also get the the skidders

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Speaker 3: around the ideas of child pageantry.

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Speaker 4: Don't care for one bit.

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Speaker 3: Yeah do love it.

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Speaker 2: It's muddled in my mind, guys, because I think I

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Speaker 2: was of the age of most of the models, at

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Speaker 2: least that I remember in some of these Abercrombie spreads, right,

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Speaker 2: So in a way it was like, oh, that's it's

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Speaker 2: you know, they want me to look like this or

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Speaker 2: that kind of thing, And I most certainly did not,

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Speaker 2: But I did like their cat back in the day.

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Speaker 4: Distress whole thing, pre distressed stuff that I think I was.

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Speaker 3: Well, this is a story that has much more reporting.

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Speaker 3: It's old beings. As matter of fact, by the time

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Speaker 3: that you hear strange news, it's been widely reported. We

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Speaker 3: hope that the victims or the survivors.

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Speaker 4: Are you do an episode on this guy, Ben?

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Speaker 3: No, but we uh we called him out a one.

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Speaker 5: I swear it was part of a larger conversation like

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Speaker 5: and and I can't maybe just google it, but I

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Speaker 5: know that we had a pretty in depth conversation about

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Speaker 5: the flights and about like the concierge kind of and

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Speaker 5: sexual acts taking place on these potentials on these flights.

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Speaker 3: I don't know it was. It was just you're you're

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Speaker 3: absolutely right. We have talked about it before, and we're

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Speaker 3: probably going to learn more about it with you, fellow

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Speaker 3: conspiracy realist.

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Speaker 2: Ben, you talked about it in January, oh two strange News. Yeah,

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Speaker 2: but but just oh my gosh, it's been that long.

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Speaker 3: Yeah, yeah, but unfortunately we called it. Maybe one evening

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Speaker 3: we'll be able to predict something positive that comes to

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Speaker 3: past short we have, right, we all have the best

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Speaker 3: track record with positive stuff, and we do have a

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Speaker 3: good track record with ad breaks. Don't believe us. Check

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Speaker 3: this out.

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Speaker 5: And we have returned with a couple of minor pieces

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Speaker 5: of strange and the first one I think is interesting.

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Speaker 5: It's actually kind of encompasses two stories. So maybe I'm

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Speaker 5: actually bringing you three. This is the case of a

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Speaker 5: counterfeit whale shark has been teased in the beginning of

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Speaker 5: the episode. After five years of construction and renovation, a

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Speaker 5: sea park. It's a sea world. It's I guess referred

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Speaker 5: to in the UK as sea park. But shin Zen's

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Speaker 5: forgiving me not a native Shines speaker. Shin Zen's Jao

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Speaker 5: my Sha sea World opened to the public recently with

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Speaker 5: an ad campaign surrounding a very special creature being highlighted,

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Speaker 5: a whale shark. And now here in Atlanta, you know,

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Speaker 5: we're very lucky to have not one, but two actual

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Speaker 5: whale sharks in the Atlanta Aquarium, which is, you know,

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Speaker 5: kind of a world class aquarium. We do know, and

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Speaker 5: I think we've mentioned on the show before that the

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Speaker 5: story behind these whale sharks is one of rescue. They

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Speaker 5: were not trafficked, they were not purchased. They were rescued

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Speaker 5: from these tanks under a roller coaster in some kind

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Speaker 5: of abandoned amusement park. I want to say, in Mexico,

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Speaker 5: is that what you guys remember as well?

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Speaker 3: Yeah? Yeah, cool.

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Speaker 5: So we've seen them and they're beautiful creatures. They're very,

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Speaker 5: very large, they are migratory mammals. They are incredibly intelligent,

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Speaker 5: and they are not particularly conducive as a species to

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Speaker 5: being held in captivity because of that migratory nature. Because

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Speaker 5: of that, and also because of the pretty brutal shark

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Speaker 5: poaching that takes place in China and other parts of

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Speaker 5: the world, the importing or the trade of whale sharks

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Speaker 5: is outlawed. They are protected, and that is why apparently

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Speaker 5: this Sea World didn't couldn't got one, and instead presented

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Speaker 5: a robotic whale shark, which, while pretty cool, you know,

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Speaker 5: was not exactly what was advertised. That we'll get into

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Speaker 5: sort of some of the pr behind it, but it

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Speaker 5: led to visitors feeling completely baited and switched when they

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Speaker 5: you know, walked in and we're expecting to see this

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Speaker 5: you know, sentient being instead saw a three hundred and

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Speaker 5: fifty kilogram, very very expensive facsimile of a whale shark

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Speaker 5: swimming around.

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Speaker 2: Did it Does it look like an actual whale shark?

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Speaker 5: Yeah, it does, minus the like seams and you know,

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Speaker 5: robotic accoutrement that are hard to cover up. It's impressive.

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Speaker 5: Think of like the.

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Speaker 3: Shark in Jaws.

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Speaker 5: If you really saw it and you saw every aspect

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Speaker 5: of it, and not just for a few minutes. You know,

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Speaker 5: it's like there, you can't ignore it. It has propulsive technology,

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Speaker 5: it is able to swim at relatively high speeds and maneuver.

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Speaker 5: It cost millions of Chinese wand in order to build

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Speaker 5: this thing, and to construct this thing, however, there seems

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Speaker 5: to have been a bit of a disconnect between you know,

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Speaker 5: what this thing was, what it maybe was for, and

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Speaker 5: how the exhibit was advertised. Representatives from the Sea World

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Speaker 5: or from the aquarium have said that they only decided

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Speaker 5: to go with the robotic whale struk because again of

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Speaker 5: the ban of the laws surrounding the actual whale sharks,

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Speaker 5: because they're listed as an endangered species due to again

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Speaker 5: climate change, things like illegal fishing use of their meat,

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Speaker 5: mentioned the shark fin soup phenomenon.

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Speaker 4: You know, in this part of the world, it's it's

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Speaker 4: quite horrible.

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Speaker 5: It could really cause overfishing of all kinds of sharks.

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Speaker 5: So they say they decided instead to go with this

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Speaker 5: robotic version, and twofold, they also were hoping that it

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Speaker 5: would create a conversation around conservation and around this type

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Speaker 5: of overfishing issues that I'm describing. The problem is I

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Speaker 5: think with the way they went about it, because a

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Speaker 5: lot of people felt like as this article that I

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Speaker 5: found in phizz dot org pH ys dot org, really

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Speaker 5: great article the case of a robot shark in a

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Speaker 5: marine park raises questions about animal welfare by Elliott Dumbos.

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Speaker 5: They felt catfish is the term that was used, which

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Speaker 5: I guess is a bit of a sea parks pun.

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Speaker 3: You know what it reminds me of. Do you guys

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Speaker 3: remember the story of the fake Pandas.

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Speaker 5: I was That's the second one that I was going

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Speaker 5: to bring up in this very context. This is the

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Speaker 5: second get case of counterfeit animals on display in Chinese

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Speaker 5: wildlife exhibits. They were chow dogs, chow chows that were

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Speaker 5: had their faces dyed black and they were painted in

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Speaker 5: different ways and they were passed off as being Pandas.

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Speaker 2: I remember hearing about that one.

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Speaker 5: Yeah, it's it's pretty wild, and you know they got

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Speaker 5: in big trouble for that.

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Speaker 3: On a side note, you can check out videos of

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Speaker 3: the panda dogs and uh, they're just great. They're cool.

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Speaker 3: But I see your point, Noel. It's it's really about

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Speaker 3: how it's in a case of the robo shark and

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Speaker 3: the pandas it's about how you present things to the consumers.

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Speaker 2: Oh my gosh, dude, I'm looking at the thing you

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Speaker 2: just sent us to. Those are clearly dogs.

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Speaker 4: Oh yeah, yeah, yeah, it's bad.

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Speaker 5: And I don't see a video of this shark situation

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Speaker 5: that's been posted yet, but I have seen images, and

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Speaker 5: you do kind of get a sense of like the

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Speaker 5: sort of joints where the pivots, you know, of the

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Speaker 5: fins and all.

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Speaker 3: Of that take place. And I didn't want to in

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Speaker 3: this one.

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Speaker 5: By reading a quote from Elliott Dumbos, who wrote the

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Speaker 5: piece for fizz dot org, he at the end of

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Speaker 5: his article said, overall, the introduction of a robot whale

439
00:24:14,920 --> 00:24:18,520
Speaker 5: shark into an aquarium, although controversial, can help engage wider

440
00:24:18,560 --> 00:24:22,320
Speaker 5: audiences in conservation issues. Although misrepresenting a robot as a

441
00:24:22,320 --> 00:24:25,639
Speaker 5: living whale shark is arguably unethical, anything which helps to

442
00:24:25,640 --> 00:24:28,520
Speaker 5: create a space for public discussion on endangered species and

443
00:24:28,520 --> 00:24:31,399
Speaker 5: animal welfare should be seen as a positive for overarching

444
00:24:31,440 --> 00:24:34,840
Speaker 5: issues of species justice. So I'm with him on that,

445
00:24:35,359 --> 00:24:37,520
Speaker 5: and I'm with them if they did this as sort

446
00:24:37,520 --> 00:24:42,560
Speaker 5: of like a proteste kind of piece of performance art

447
00:24:42,600 --> 00:24:44,160
Speaker 5: or something, but that just doesn't seem like the way

448
00:24:44,160 --> 00:24:46,560
Speaker 5: they market it and I imagine they'll be pivoting that

449
00:24:46,760 --> 00:24:49,240
Speaker 5: marketing campaign moving forward after all the controverts.

450
00:24:49,400 --> 00:24:50,800
Speaker 4: Maybe the controversy was the point.

451
00:24:52,240 --> 00:24:55,720
Speaker 3: I mean, that's a good thing to say after that's

452
00:24:55,920 --> 00:25:01,960
Speaker 3: caught right, Like, this was my plan all and we

453
00:25:02,080 --> 00:25:05,120
Speaker 3: knew and now we've all learned a valuable lesson about

454
00:25:05,119 --> 00:25:08,280
Speaker 3: both robotics and conservation as the friends we made along

455
00:25:08,280 --> 00:25:09,440
Speaker 3: the way. That's true.

456
00:25:10,080 --> 00:25:14,480
Speaker 5: Last thing, countries like Indonesia, Mozambique and India also ban

457
00:25:14,760 --> 00:25:18,360
Speaker 5: the fishing and trade of the particular species we're talking here,

458
00:25:18,920 --> 00:25:20,880
Speaker 5: which is a considered a megafauna.

459
00:25:20,920 --> 00:25:21,640
Speaker 3: I love that term.

460
00:25:21,680 --> 00:25:24,600
Speaker 4: It's a fun term, migratory megafauna.

461
00:25:24,800 --> 00:25:29,280
Speaker 5: The species is called Rhina codin typis and they are

462
00:25:29,320 --> 00:25:33,320
Speaker 5: the world's largest fish species, with a maximum recorded size

463
00:25:33,359 --> 00:25:35,800
Speaker 5: of eighteen meters in length. If you do make it

464
00:25:35,800 --> 00:25:38,919
Speaker 5: down to Atlanta, you can see some real ones. They

465
00:25:38,960 --> 00:25:41,520
Speaker 5: are there in the Atlanta Aquaria. Am I think I've

466
00:25:41,520 --> 00:25:43,240
Speaker 5: got just enough time to just mention this one, and

467
00:25:43,280 --> 00:25:45,480
Speaker 5: maybe this is part of a larger discussion.

468
00:25:46,040 --> 00:25:48,200
Speaker 4: On AI and the media.

469
00:25:49,119 --> 00:25:52,520
Speaker 5: I'll just read the headline from Vanessa Gara over at

470
00:25:52,520 --> 00:25:59,160
Speaker 5: the ap Polish radio station replaces journalists with AI presenters.

471
00:25:59,240 --> 00:26:04,440
Speaker 5: A Polish publicly funded radio station called off Radio Crackow

472
00:26:04,920 --> 00:26:09,040
Speaker 5: relaunched this week after laying off its entire staff and

473
00:26:09,119 --> 00:26:12,800
Speaker 5: have pivoted to being what was a press release referred

474
00:26:12,840 --> 00:26:16,800
Speaker 5: to as the first experiment in Poland in which journalists

475
00:26:16,840 --> 00:26:22,680
Speaker 5: are virtual characters created by AI. There are three avatars,

476
00:26:22,720 --> 00:26:25,160
Speaker 5: I guess that have been created that have their own

477
00:26:25,240 --> 00:26:29,359
Speaker 5: kind of personalities and views and topic areas. But the

478
00:26:29,400 --> 00:26:33,679
Speaker 5: idea is to appeal to gen Z listeners potential gen

479
00:26:33,800 --> 00:26:37,920
Speaker 5: Z listeners by having these avatars speak to cultural, art

480
00:26:37,960 --> 00:26:39,120
Speaker 5: and social issues as.

481
00:26:39,040 --> 00:26:42,160
Speaker 4: Well as LGBTQ plus issues.

482
00:26:43,200 --> 00:26:46,480
Speaker 5: The head of the station, mar Chin Poult, said, is

483
00:26:46,560 --> 00:26:49,439
Speaker 5: artificial intelligence more of an opportunity or a threat to

484
00:26:49,600 --> 00:26:54,320
Speaker 5: radio media and journalism threat? We will seek answers to

485
00:26:54,320 --> 00:26:57,320
Speaker 5: this question. How noble of them they're at Off Radio

486
00:26:57,440 --> 00:27:01,720
Speaker 5: crackou guys, and just to give an alternate perspective from

487
00:27:01,760 --> 00:27:04,520
Speaker 5: an actual facts journalist, A guy by the name of

488
00:27:04,800 --> 00:27:08,080
Speaker 5: my TuS Demski, who is a journalist and film critic

489
00:27:08,119 --> 00:27:09,480
Speaker 5: who was laid off.

490
00:27:09,320 --> 00:27:11,400
Speaker 4: From the station.

491
00:27:11,320 --> 00:27:16,119
Speaker 5: Published an open letter protesting the choice, referring to it

492
00:27:16,160 --> 00:27:19,960
Speaker 5: as the replacement of employees with artificial intelligence, and saying

493
00:27:19,960 --> 00:27:21,920
Speaker 5: that it is a dangerous precedent that hits us all

494
00:27:21,920 --> 00:27:25,040
Speaker 5: and could lead to a world in which experienced employees

495
00:27:25,080 --> 00:27:28,280
Speaker 5: associated with the media sector for years and people employed

496
00:27:28,280 --> 00:27:31,280
Speaker 5: in creative industries will be replaced by machines.

497
00:27:32,440 --> 00:27:33,080
Speaker 3: Not cool.

498
00:27:33,880 --> 00:27:35,600
Speaker 2: You guys can still tell that I'm human?

499
00:27:35,680 --> 00:27:36,359
Speaker 4: Right, I think?

500
00:27:36,400 --> 00:27:39,680
Speaker 3: So? I just gotten good.

501
00:27:40,200 --> 00:27:43,360
Speaker 2: You guys both seem very human to me, So I'm

502
00:27:43,400 --> 00:27:46,120
Speaker 2: just gonna assume we're all still human here.

503
00:27:46,200 --> 00:27:52,000
Speaker 3: Okay, Well, if there's anything wrong with not being human, totally.

504
00:27:54,359 --> 00:27:57,719
Speaker 4: More human than to quote Rob Zombie.

505
00:27:57,800 --> 00:28:00,040
Speaker 5: But yeah, I don't know, like they're they're framing it

506
00:28:00,080 --> 00:28:03,600
Speaker 5: as this noble experiment, which I think is disingenuous.

507
00:28:03,840 --> 00:28:05,879
Speaker 3: Sure, and bullshit.

508
00:28:06,880 --> 00:28:11,000
Speaker 5: They argue that the listenership of the pre existing situation

509
00:28:11,119 --> 00:28:12,440
Speaker 5: at the radio station was.

510
00:28:12,440 --> 00:28:15,240
Speaker 3: Quote close to zero. Yeah, I saw that.

511
00:28:15,359 --> 00:28:17,440
Speaker 5: And that may well be the case. And if that's

512
00:28:17,440 --> 00:28:19,680
Speaker 5: the case, okay, I guess it is within their right

513
00:28:19,960 --> 00:28:24,120
Speaker 5: to pivot. But it's a weird look, and I guess

514
00:28:24,160 --> 00:28:27,440
Speaker 5: I'd rather see something like this attempted in a situation

515
00:28:27,600 --> 00:28:29,479
Speaker 5: like this. But it's also the kind of thing you

516
00:28:29,480 --> 00:28:32,520
Speaker 5: could say and then just do whatever the hell you want.

517
00:28:32,920 --> 00:28:38,440
Speaker 3: Yeah, we need to know more about the production pipeline, right,

518
00:28:38,640 --> 00:28:45,360
Speaker 3: Like are these are these AI entities simply leveraging audio

519
00:28:45,600 --> 00:28:48,400
Speaker 3: to repeat something that has been written for them or

520
00:28:48,440 --> 00:28:51,600
Speaker 3: are they conducting you know, their own attempts to write

521
00:28:51,640 --> 00:28:55,239
Speaker 3: like that terrible stuff chat GBT, so it tries to do.

522
00:28:55,760 --> 00:29:00,000
Speaker 3: I mean also, we have in full disclosure, folks, because

523
00:29:00,000 --> 00:29:04,120
Speaker 3: because of the nature of our vocation, we learned a

524
00:29:04,160 --> 00:29:08,280
Speaker 3: lot of the details about this kind of technology, I

525
00:29:08,280 --> 00:29:10,720
Speaker 3: think a little bit earlier than some of the general public,

526
00:29:10,880 --> 00:29:13,800
Speaker 3: just because we lived in that world or lived closer

527
00:29:13,840 --> 00:29:17,200
Speaker 3: to it. And a lot of the AI editing and

528
00:29:17,320 --> 00:29:21,520
Speaker 3: a lot of the attempts to make AI entities or

529
00:29:21,560 --> 00:29:25,560
Speaker 3: personas still fall pretty far short. Like you can when

530
00:29:25,640 --> 00:29:28,600
Speaker 3: you listen to a show that has just been edited

531
00:29:28,720 --> 00:29:31,480
Speaker 3: with AI, even if the speakers are human, you can

532
00:29:31,520 --> 00:29:32,800
Speaker 3: tell you.

533
00:29:32,760 --> 00:29:35,600
Speaker 5: Can get a human touch to smooth out those rough cuts,

534
00:29:35,640 --> 00:29:38,880
Speaker 5: literally those rough edits. All of the AI R like

535
00:29:39,160 --> 00:29:42,680
Speaker 5: I have seen aiar that I find interesting, I would

536
00:29:42,680 --> 00:29:45,200
Speaker 5: not say I've seen anything that moves me or I

537
00:29:45,280 --> 00:29:48,040
Speaker 5: find compelling, because let's be really, all the thing that

538
00:29:48,040 --> 00:29:50,440
Speaker 5: makes art moving is the human aspect.

539
00:29:50,520 --> 00:29:50,720
Speaker 3: Of it.

540
00:29:51,000 --> 00:29:53,760
Speaker 5: The thing that makes good journalism good journalism is the

541
00:29:53,880 --> 00:29:57,080
Speaker 5: human eye and the human observation and the empathy that

542
00:29:57,120 --> 00:30:00,200
Speaker 5: can only come from being an actual human observing the

543
00:30:00,240 --> 00:30:04,360
Speaker 5: behavior of other humans. I don't think that's a controversial position.

544
00:30:04,520 --> 00:30:08,120
Speaker 3: I don't think so. There's also you know, I also

545
00:30:08,280 --> 00:30:12,880
Speaker 3: don't see current large language models or you guys know,

546
00:30:12,920 --> 00:30:15,760
Speaker 3: I don't even like to phrase artificial intelligence. I don't

547
00:30:15,800 --> 00:30:17,880
Speaker 3: see them as this mistake. Yeah, I don't see them

548
00:30:17,920 --> 00:30:22,120
Speaker 3: as the end result here, So you can't really great.

549
00:30:22,320 --> 00:30:26,080
Speaker 3: This is the predecessor to something that may be capable

550
00:30:26,120 --> 00:30:30,120
Speaker 3: of amazing things in the future. But right now, if

551
00:30:30,280 --> 00:30:33,640
Speaker 3: this kind of practice spreads as the current technology stands,

552
00:30:33,760 --> 00:30:36,400
Speaker 3: we're going to run into the double mirror situation, which

553
00:30:36,440 --> 00:30:39,680
Speaker 3: is already happening with any AI on a search engine.

554
00:30:39,840 --> 00:30:42,560
Speaker 3: It's just when I say double mirror, I mean two

555
00:30:42,680 --> 00:30:47,640
Speaker 3: mirrors eternally reflecting back nothing but emptiness. They're going to

556
00:30:47,720 --> 00:30:50,920
Speaker 3: quote each other in a or a boros.

557
00:30:50,600 --> 00:30:54,400
Speaker 4: It's like the visual metaphor for like an echo chamber, right.

558
00:30:54,240 --> 00:30:59,600
Speaker 3: And it'll get less and less robust. Informative copy of

559
00:30:59,600 --> 00:31:02,280
Speaker 3: a copy of a copy, Yes, just like Multiplicity starring

560
00:31:02,280 --> 00:31:03,080
Speaker 3: Michael looking.

561
00:31:04,480 --> 00:31:08,240
Speaker 2: Let's really quickly think about the radio company's stance here,

562
00:31:08,560 --> 00:31:09,760
Speaker 2: just to get our minds into it.

563
00:31:09,880 --> 00:31:10,040
Speaker 3: Right.

564
00:31:10,200 --> 00:31:15,000
Speaker 2: Sure, so these aren't crazy high paid radio hosts.

565
00:31:15,040 --> 00:31:16,280
Speaker 3: I'm assuming not.

566
00:31:16,480 --> 00:31:20,920
Speaker 2: Because this is a public radio Yes, I can imagine

567
00:31:20,960 --> 00:31:24,600
Speaker 2: a company that has you know, that is paying out

568
00:31:24,720 --> 00:31:28,600
Speaker 2: somebody like a like a Rush Limbaugh or you know,

569
00:31:28,720 --> 00:31:32,240
Speaker 2: somebody who was really well known. You're paying millions of

570
00:31:32,400 --> 00:31:35,760
Speaker 2: US dollars per year for that type of talent. Right

571
00:31:36,240 --> 00:31:38,960
Speaker 2: if you could create an AI generated version of that

572
00:31:39,360 --> 00:31:42,480
Speaker 2: kind of character and make it popular, you would be

573
00:31:42,520 --> 00:31:45,440
Speaker 2: saving tens of millions of dollars a year. That is

574
00:31:45,560 --> 00:31:48,840
Speaker 2: not the case going on here, but it is pretty

575
00:31:48,840 --> 00:31:52,400
Speaker 2: creepy to think about the way this could be thought

576
00:31:52,400 --> 00:31:53,240
Speaker 2: about in the future.

577
00:31:53,360 --> 00:31:55,320
Speaker 3: It's gonna happen. You know, if you are in a

578
00:31:55,360 --> 00:32:00,280
Speaker 3: public facing entertainment or education field, be very careful what

579
00:32:00,360 --> 00:32:04,320
Speaker 3: you sign, because you can. We are at the place

580
00:32:04,360 --> 00:32:07,640
Speaker 3: where you could resurrect a Rush Limbaugh just based on

581
00:32:07,720 --> 00:32:10,320
Speaker 3: the huge collection of data of him speaking.

582
00:32:10,720 --> 00:32:14,320
Speaker 5: We already have individuals like that selling the rights to

583
00:32:14,400 --> 00:32:17,640
Speaker 5: their image, Right, is it really that big of a

584
00:32:17,720 --> 00:32:18,360
Speaker 5: leap for them?

585
00:32:18,360 --> 00:32:19,640
Speaker 4: I mean, you know, and this is the folk.

586
00:32:19,640 --> 00:32:21,120
Speaker 5: These are the folks that have gotten ahead of it

587
00:32:21,240 --> 00:32:25,040
Speaker 5: where they're like, sure, I'll sell you my entire virtual likeness,

588
00:32:25,080 --> 00:32:28,680
Speaker 5: including my personality, for a gajillion dollars, and then I

589
00:32:28,680 --> 00:32:30,680
Speaker 5: can retire and I never have to talk on Mike again.

590
00:32:30,840 --> 00:32:33,840
Speaker 5: That precedent will be set, that will happen, and then

591
00:32:33,840 --> 00:32:35,800
Speaker 5: it'll be somebody like what you're talking about.

592
00:32:35,880 --> 00:32:38,680
Speaker 4: Then they can just go on forever. It's it's it's eternal,

593
00:32:38,680 --> 00:32:39,400
Speaker 4: Howard Stern.

594
00:32:40,080 --> 00:32:43,760
Speaker 3: There are people right now as well this evening who

595
00:32:43,760 --> 00:32:47,000
Speaker 3: would who are not public figures, but would gladly sell

596
00:32:47,040 --> 00:32:50,760
Speaker 3: away their rights for a surprisingly small amount of money,

597
00:32:50,920 --> 00:32:53,320
Speaker 3: maybe even for a free small mac and cheese at

598
00:32:53,360 --> 00:32:55,000
Speaker 3: Chick fil A. Again, the word of the day is

599
00:32:55,040 --> 00:32:55,600
Speaker 3: cheesy for.

600
00:32:55,560 --> 00:32:57,600
Speaker 4: The privilege of using an app bro.

601
00:32:57,640 --> 00:33:00,000
Speaker 3: Yeah, for an app right, because you are the product.

602
00:33:00,440 --> 00:33:02,920
Speaker 3: I think this is something that we are going to

603
00:33:03,000 --> 00:33:07,120
Speaker 3: continually return to. I also have always found Polish to

604
00:33:07,160 --> 00:33:10,240
Speaker 3: be an incredibly tricky language. It's one of the most

605
00:33:10,240 --> 00:33:13,720
Speaker 3: difficult to learn for Yeah, and all my friends who

606
00:33:13,720 --> 00:33:16,000
Speaker 3: speak Polish. It's goingd of like people who speak Finnish.

607
00:33:16,400 --> 00:33:18,520
Speaker 3: You ask them, you know, how you say something in Polish,

608
00:33:18,560 --> 00:33:21,040
Speaker 3: and they just like roll their eyes and say, let's

609
00:33:21,080 --> 00:33:22,200
Speaker 3: just stick with English.

610
00:33:22,280 --> 00:33:25,840
Speaker 5: Jojo Siwa was recently clowned, as she typically is, on

611
00:33:25,880 --> 00:33:28,520
Speaker 5: the internet, for attempting to sing one of her songs

612
00:33:28,520 --> 00:33:31,920
Speaker 5: in Polish, and Polish posters were like, I.

613
00:33:31,880 --> 00:33:33,280
Speaker 3: Have no idea what the hell she was.

614
00:33:36,480 --> 00:33:39,560
Speaker 4: You're in JoJo's corner. I know, I do feel bad.

615
00:33:39,880 --> 00:33:42,640
Speaker 4: She tried real hard, but I don't try.

616
00:33:42,800 --> 00:33:44,680
Speaker 3: I don't know who she is. And when you guys,

617
00:33:44,880 --> 00:33:46,120
Speaker 3: she was the girl with the big bows.

618
00:33:46,200 --> 00:33:47,800
Speaker 4: They sell her bows at the Walmart.

619
00:33:47,960 --> 00:33:51,120
Speaker 5: She was like a little like ponytail, teeny bopper type,

620
00:33:51,200 --> 00:33:52,560
Speaker 5: you know, pop princess.

621
00:33:52,680 --> 00:33:54,400
Speaker 4: And now she's trying to be a bad girl. She's

622
00:33:54,400 --> 00:33:55,280
Speaker 4: sort of rebranded.

623
00:33:55,600 --> 00:33:57,560
Speaker 2: In my head, this is somebody who's been in the

624
00:33:57,560 --> 00:34:01,520
Speaker 2: spotlight since they were a tiny She's she's rand well

625
00:34:01,920 --> 00:34:04,040
Speaker 2: and she's still learning who she is and what the

626
00:34:04,040 --> 00:34:06,000
Speaker 2: world is I mean, and she's just doing it in

627
00:34:06,040 --> 00:34:08,680
Speaker 2: front of everybody. And that is an awful.

628
00:34:08,360 --> 00:34:10,640
Speaker 3: Position to be. And I'm not trying to punker to art.

629
00:34:10,680 --> 00:34:12,640
Speaker 5: I just mentioned the Polish thing because it is That's

630
00:34:12,640 --> 00:34:16,280
Speaker 5: where I learned this fact that the Polish apparently incredibly difficult.

631
00:34:16,640 --> 00:34:21,160
Speaker 3: Also, you know, I wish Jojo the best. I don't

632
00:34:21,160 --> 00:34:25,720
Speaker 3: have a stance really on that's I think people worship

633
00:34:25,840 --> 00:34:28,600
Speaker 3: celebrities in a way that is just disappointing and gross.

634
00:34:28,680 --> 00:34:30,640
Speaker 3: But but you know, it's tough to make it in

635
00:34:30,680 --> 00:34:33,919
Speaker 3: the world of music. So I, you know, absolutely wish

636
00:34:34,080 --> 00:34:36,640
Speaker 3: everybody the best. Every musician is not a jerk.

637
00:34:36,960 --> 00:34:40,239
Speaker 5: Oh and yeah, I do wish hich are the best,

638
00:34:40,320 --> 00:34:42,680
Speaker 5: and I hope she doest. That was the very empathetic

639
00:34:42,719 --> 00:34:44,319
Speaker 5: way of putting it, and that is no unrelated to

640
00:34:44,320 --> 00:34:44,840
Speaker 5: the story.

641
00:34:44,960 --> 00:34:47,279
Speaker 3: But I think an interesting side conversation just the same.

642
00:34:47,719 --> 00:34:49,360
Speaker 5: So, guys, I think we ran a little long with

643
00:34:49,400 --> 00:34:51,720
Speaker 5: these two. Maybe we're a little more robust than I realized.

644
00:34:51,800 --> 00:34:53,359
Speaker 5: But let's take a quick break here, a word from

645
00:34:53,360 --> 00:34:55,760
Speaker 5: a sponsor, and then come back to you with another

646
00:34:55,840 --> 00:34:57,000
Speaker 5: piece of strange news.

647
00:35:02,719 --> 00:35:06,200
Speaker 2: And we've returned. Guys, we're gonna get into some fiscal

648
00:35:06,280 --> 00:35:08,960
Speaker 2: responsibility right now. How does that make you feel?

649
00:35:09,640 --> 00:35:11,480
Speaker 3: I'm a fisco sexual. Let's do it.

650
00:35:12,040 --> 00:35:17,160
Speaker 5: Let's get physical, physical, physical, get physical.

651
00:35:17,880 --> 00:35:20,400
Speaker 2: All right, We've got some news for you. We have

652
00:35:20,480 --> 00:35:24,359
Speaker 2: talked about many in a whoopsie that banks have done

653
00:35:24,400 --> 00:35:27,080
Speaker 2: in the past, or I guess more of a whoopsie.

654
00:35:27,120 --> 00:35:31,879
Speaker 3: You caught us Yeah, check out Jeffrey Asthmus. Great peace

655
00:35:32,000 --> 00:35:35,040
Speaker 3: on Wells Fargo. Oh, I'll send it to you guys.

656
00:35:35,120 --> 00:35:37,600
Speaker 2: Yeah, on all of them, basically all the banks that

657
00:35:37,640 --> 00:35:40,080
Speaker 2: we've ever talked about on this show, and it's most

658
00:35:40,120 --> 00:35:43,359
Speaker 2: of them. Every once in a while, you get caught

659
00:35:43,400 --> 00:35:45,080
Speaker 2: doing something you're not supposed to be doing, an you

660
00:35:45,160 --> 00:35:47,600
Speaker 2: gotta either pay a little money. Usually you don't have

661
00:35:47,640 --> 00:35:49,920
Speaker 2: to say we did anything like as a bank, you

662
00:35:49,920 --> 00:35:52,040
Speaker 2: don't have to admit guilts. You just have to pay

663
00:35:52,080 --> 00:35:54,800
Speaker 2: a nice little fine and then continue making billions and

664
00:35:54,840 --> 00:35:57,000
Speaker 2: billions of dollars cheese and crackers.

665
00:35:57,040 --> 00:35:58,720
Speaker 3: You guys, we didn't know that was illegal.

666
00:35:59,640 --> 00:35:59,880
Speaker 6: We did.

667
00:36:00,239 --> 00:36:01,960
Speaker 2: I didn't know I couldn't do that.

668
00:36:02,760 --> 00:36:05,920
Speaker 4: Golly g Willickers. We were just trying to bank. Is

669
00:36:05,960 --> 00:36:06,520
Speaker 4: that so wrong?

670
00:36:06,600 --> 00:36:06,839
Speaker 3: Yeah?

671
00:36:06,960 --> 00:36:09,440
Speaker 2: Yeah, Well that's it. That's all they were trying to

672
00:36:09,440 --> 00:36:12,960
Speaker 2: do is make bank. Well, here's some news out of

673
00:36:12,960 --> 00:36:15,320
Speaker 2: the BBC. It's actually coming out of the Justice Department

674
00:36:15,360 --> 00:36:17,080
Speaker 2: and a bunch of other places, but we're gonna be

675
00:36:17,080 --> 00:36:20,200
Speaker 2: reading from some stuff Natalie Sherman wrote on BBC on

676
00:36:20,280 --> 00:36:24,439
Speaker 2: October tenth. The article Natalie wrote is titled TD Bank

677
00:36:24,640 --> 00:36:29,160
Speaker 2: Maybe you've heard of them? TD Bank find three billion

678
00:36:29,360 --> 00:36:32,960
Speaker 2: dollars US in historic money laundering settlement.

679
00:36:33,160 --> 00:36:33,560
Speaker 3: Historic.

680
00:36:34,239 --> 00:36:36,440
Speaker 2: That's why we're talking about this because otherwise.

681
00:36:37,760 --> 00:36:40,719
Speaker 5: The borderline meaningful even for a bank, right, wouldn't you say?

682
00:36:40,840 --> 00:36:45,160
Speaker 5: Or no, almost so close to verging.

683
00:36:44,680 --> 00:36:47,239
Speaker 2: On it's edging on meaningful.

684
00:36:49,160 --> 00:36:52,920
Speaker 4: Gooning. Meaning that's true there TD Bank.

685
00:36:52,880 --> 00:36:54,440
Speaker 2: As we're gonna about to find out, it has been

686
00:36:54,480 --> 00:36:58,239
Speaker 2: gooning in one particular way for a long time. So

687
00:36:58,320 --> 00:37:03,240
Speaker 2: TD Bank, it's one of Canada's largest lenders, according to Natalie,

688
00:37:03,320 --> 00:37:05,880
Speaker 2: and you know, just by the facts, they've agreed to

689
00:37:05,880 --> 00:37:09,759
Speaker 2: pay more than three billion dollars. And this is the

690
00:37:09,840 --> 00:37:12,719
Speaker 2: historic part. Three billion is historic. But the other thing

691
00:37:12,760 --> 00:37:16,600
Speaker 2: that's historic is that they're pleading guilty to criminal charges,

692
00:37:17,000 --> 00:37:23,120
Speaker 2: including conspiracy. Guys, like actual facts conspiracy and the stuff

693
00:37:23,160 --> 00:37:27,360
Speaker 2: they're pleading guilty to. Actually, let's go and jump to

694
00:37:27,440 --> 00:37:30,640
Speaker 2: the Justice Department, like precisely so we get this right, Yeah, yeah,

695
00:37:30,680 --> 00:37:35,400
Speaker 2: The Justice Department says TD Bank NA is pleading guilty

696
00:37:35,440 --> 00:37:41,239
Speaker 2: too conspiring to fail to maintain an anti money laundering

697
00:37:41,280 --> 00:37:46,080
Speaker 2: program that complies with the Bank Secrecy Act. So they

698
00:37:46,160 --> 00:37:49,200
Speaker 2: are conspiring to fail, isn't that interesting?

699
00:37:49,400 --> 00:37:52,480
Speaker 3: Yes, they're letting something they're quietly sabotaging.

700
00:37:52,760 --> 00:37:58,040
Speaker 2: Yes, they're also conspiring to fail to file accurate currency

701
00:37:58,080 --> 00:38:03,160
Speaker 2: transaction reports, and the big one conspiring to launder money.

702
00:38:03,280 --> 00:38:08,720
Speaker 2: But again, everybody's doing that. But this is really interesting.

703
00:38:08,760 --> 00:38:12,800
Speaker 2: I think that concept of conspiring to fail to do something,

704
00:38:14,200 --> 00:38:16,920
Speaker 2: it's striking to me because it really is people somewhere

705
00:38:16,920 --> 00:38:19,320
Speaker 2: at the top who are building the system, the structure

706
00:38:19,360 --> 00:38:23,440
Speaker 2: of how the bank functions, getting together and saying, I

707
00:38:23,480 --> 00:38:25,960
Speaker 2: think we got to just not look so hard at

708
00:38:25,960 --> 00:38:26,880
Speaker 2: some of this stuff.

709
00:38:27,160 --> 00:38:30,439
Speaker 3: Yeah, they bought themselves a larger window of time, right, Yes,

710
00:38:30,760 --> 00:38:35,680
Speaker 3: because every day that they can avoid the internal regulatory

711
00:38:35,760 --> 00:38:38,880
Speaker 3: process is another day that they can wash the money.

712
00:38:39,239 --> 00:38:42,240
Speaker 2: Yes, another day for an entire decade.

713
00:38:42,680 --> 00:38:45,959
Speaker 5: Matt Merrick Garland, the Attorney general who prosecuted the case,

714
00:38:46,000 --> 00:38:50,640
Speaker 5: said that they basically made their services convenient for criminals,

715
00:38:50,800 --> 00:38:52,840
Speaker 5: and doing so became one themselves.

716
00:38:52,840 --> 00:38:54,320
Speaker 3: Can you give us a little bit of a sense.

717
00:38:54,239 --> 00:38:57,440
Speaker 5: Of how like they what they did was more egregious

718
00:38:57,520 --> 00:39:00,239
Speaker 5: or different than what other banks are and we're doing.

719
00:39:01,000 --> 00:39:06,480
Speaker 2: They conspired to basically just allow massive transactions to occur

720
00:39:06,840 --> 00:39:10,600
Speaker 2: when they shouldn't be occurring without being immediately reported to authorities.

721
00:39:10,960 --> 00:39:11,240
Speaker 3: Okay.

722
00:39:13,760 --> 00:39:17,680
Speaker 2: There was one customer who used TD bank to launder

723
00:39:17,760 --> 00:39:22,319
Speaker 2: more than four hundred and seventy million dollars in drug proceeds,

724
00:39:22,760 --> 00:39:27,400
Speaker 2: making large cash deposits and bribed staff with gift cards.

725
00:39:28,440 --> 00:39:31,440
Speaker 2: There was there was one person that was found. I'm

726
00:39:31,480 --> 00:39:33,080
Speaker 2: gonna have to find it in here. They were making

727
00:39:33,440 --> 00:39:38,000
Speaker 2: daily million dollar transactions just like in and out and

728
00:39:38,040 --> 00:39:39,160
Speaker 2: in and out and in and out, and it was

729
00:39:39,200 --> 00:39:40,440
Speaker 2: an individual, and.

730
00:39:40,360 --> 00:39:42,360
Speaker 5: They weren't reporting this to whom is it supposed to

731
00:39:42,400 --> 00:39:45,799
Speaker 5: be like the irs, Like I think it's five thousand dollars,

732
00:39:45,840 --> 00:39:49,880
Speaker 5: like you know, anything above ten thousand, ten thousand, Yeah.

733
00:39:49,880 --> 00:39:53,000
Speaker 3: Yeah, and that's that's US laws. Just like here in

734
00:39:53,040 --> 00:39:58,440
Speaker 3: the US, Canadian financial institutes like this are required to

735
00:39:59,560 --> 00:40:03,560
Speaker 3: report these larger suspicious transactions. It reminds me of when

736
00:40:03,760 --> 00:40:09,399
Speaker 3: HSBC literally built different windows at their physical locations so

737
00:40:09,440 --> 00:40:11,600
Speaker 3: they could help launder drug money faster.

738
00:40:11,960 --> 00:40:12,720
Speaker 2: Yeah.

739
00:40:13,000 --> 00:40:13,280
Speaker 3: Yeah.

740
00:40:13,400 --> 00:40:15,120
Speaker 2: It was basically just saying we're gonna allow all this

741
00:40:15,160 --> 00:40:20,200
Speaker 2: stuff just to happen. And then as as organized criminals

742
00:40:20,200 --> 00:40:23,200
Speaker 2: who are very organized and making lots of money, as

743
00:40:23,239 --> 00:40:24,920
Speaker 2: they realized, oh keys, we can just put this in

744
00:40:24,960 --> 00:40:27,200
Speaker 2: TD Bank and we're good to go. And then we

745
00:40:27,200 --> 00:40:28,799
Speaker 2: can just take it back out at TD Bank and

746
00:40:28,840 --> 00:40:32,640
Speaker 2: it's no longer drug money. It's TD Bank money, which

747
00:40:32,680 --> 00:40:34,879
Speaker 2: is crazy to think about. But there were other things

748
00:40:34,880 --> 00:40:38,680
Speaker 2: happening where TD Bank was allowing funds to go directly

749
00:40:38,920 --> 00:40:43,839
Speaker 2: back to people who were producing fentanyl, which is one

750
00:40:43,880 --> 00:40:47,200
Speaker 2: of the really crazy things that the investigation found. So

751
00:40:47,239 --> 00:40:50,640
Speaker 2: people were again just they weren't following the money, they

752
00:40:50,640 --> 00:40:54,080
Speaker 2: weren't reporting on any of the transactions. And here it is.

753
00:40:54,440 --> 00:40:57,760
Speaker 2: Prosecutors said it operated with inadequate guards against money laundering

754
00:40:57,800 --> 00:41:00,760
Speaker 2: for nearly a decade, failing to act even when staff

755
00:41:00,800 --> 00:41:04,960
Speaker 2: flagged obvious cases that there were people abusing the bank

756
00:41:05,320 --> 00:41:08,000
Speaker 2: and doing this kind of illicit trading of money and

757
00:41:08,360 --> 00:41:12,839
Speaker 2: exchanges and financial transactions, and the bank is like, no, no, nah,

758
00:41:12,920 --> 00:41:17,279
Speaker 2: we're good. It is the biggest fine ever under the

759
00:41:17,320 --> 00:41:22,319
Speaker 2: anti money laundering law. And oh, here's the thing. The

760
00:41:22,360 --> 00:41:25,840
Speaker 2: chief executive at TD Bank said, we take full responsibility

761
00:41:26,000 --> 00:41:29,640
Speaker 2: for failing to do this. Here's three billion dollars. They're

762
00:41:29,640 --> 00:41:33,280
Speaker 2: only being the Justice Department one point eight billion dollars.

763
00:41:33,719 --> 00:41:36,320
Speaker 2: They're also paying finn Send. Remember fin Send guys, we

764
00:41:36,400 --> 00:41:41,080
Speaker 2: talked about them. That is the Financial Crimes Enforcement Network

765
00:41:41,920 --> 00:41:45,080
Speaker 2: they are getting one point three billion dollars for their trouble.

766
00:41:45,760 --> 00:41:48,800
Speaker 2: I guess, well, I mean to fund basically this massive

767
00:41:48,840 --> 00:41:52,760
Speaker 2: investigation that all of these there's so many humans involved

768
00:41:52,800 --> 00:41:55,879
Speaker 2: in investigating this stuff. They're all it'll I guess take

769
00:41:55,880 --> 00:41:59,640
Speaker 2: care of their salaries as well as hopefully fund these

770
00:41:59,680 --> 00:42:01,240
Speaker 2: types of investigations in the future.

771
00:42:02,040 --> 00:42:04,759
Speaker 5: My favorite thing in this article, Matt, you probably clocked

772
00:42:04,800 --> 00:42:08,120
Speaker 5: it as well, the mention of TD Bank's slogan America's

773
00:42:08,160 --> 00:42:12,200
Speaker 5: most Convenient bank and the fact that employees basically was

774
00:42:12,239 --> 00:42:16,880
Speaker 5: an end joke that this was in fact marketed towards criminals.

775
00:42:17,239 --> 00:42:20,640
Speaker 2: Yeh yeh oh. This was the thing. This is when

776
00:42:20,640 --> 00:42:23,440
Speaker 2: we're talking about fentanyl. This was the thing. It's not

777
00:42:23,600 --> 00:42:27,960
Speaker 2: It wasn't about money necessarily coming into the bank from

778
00:42:27,960 --> 00:42:30,040
Speaker 2: the people who were producing the fentanyl. It was people

779
00:42:30,040 --> 00:42:32,560
Speaker 2: who were buying the fentanyl, and then the money that

780
00:42:32,560 --> 00:42:35,760
Speaker 2: they put into the bank, they could use the transactions

781
00:42:35,800 --> 00:42:37,960
Speaker 2: there I guess, through online banking or something to go

782
00:42:38,160 --> 00:42:41,160
Speaker 2: directly back to the people who were producing the fentuinyl

783
00:42:41,160 --> 00:42:42,760
Speaker 2: in China and Mexico and other places.

784
00:42:42,960 --> 00:42:48,680
Speaker 3: Yeah, and messing with the international level brings a whole

785
00:42:48,719 --> 00:42:54,320
Speaker 3: other layer of crime and skullduggery here. It's also it

786
00:42:54,520 --> 00:42:58,960
Speaker 3: still only confirms what we have said multiple times in

787
00:42:59,000 --> 00:43:05,520
Speaker 3: previous exploration. When the punishment, the financial punishment for a

788
00:43:05,600 --> 00:43:09,200
Speaker 3: crime is less than the total profit you make from

789
00:43:09,280 --> 00:43:14,360
Speaker 3: the crime, then it simply becomes a business cost. Right. Yeah,

790
00:43:14,400 --> 00:43:17,640
Speaker 3: And this is I think there's another example of this, Matt.

791
00:43:17,760 --> 00:43:21,239
Speaker 3: Since this has reached, you know, this criminal level, and

792
00:43:21,320 --> 00:43:26,200
Speaker 3: since the big wig said, we take full responsibility whatever

793
00:43:26,280 --> 00:43:30,200
Speaker 3: that means, what do you see as next steps here?

794
00:43:30,400 --> 00:43:32,920
Speaker 3: Will will the bank collapse? Will it continue?

795
00:43:33,239 --> 00:43:36,520
Speaker 2: Oh, it's going to continue. Barat Musrani, who has run

796
00:43:36,520 --> 00:43:38,680
Speaker 2: the bank for a long time, is stepping down. Uh,

797
00:43:39,000 --> 00:43:39,759
Speaker 2: that's one of the.

798
00:43:39,719 --> 00:43:42,000
Speaker 3: Main guys has to fall on the sword.

799
00:43:42,200 --> 00:43:45,640
Speaker 2: Yeah, the bank is going to have a third party

800
00:43:46,400 --> 00:43:48,680
Speaker 2: that's going to basically monitor everything it does for the

801
00:43:48,680 --> 00:43:51,200
Speaker 2: next three years according to the Justice Department.

802
00:43:51,320 --> 00:43:53,760
Speaker 3: Who's going to continue banking with these folks? Though?

803
00:43:53,840 --> 00:43:57,879
Speaker 2: Like, it's got twenty seven million or more than twenty

804
00:43:57,920 --> 00:44:01,440
Speaker 2: seven million customers worldwide, it's a huge bank.

805
00:44:01,520 --> 00:44:03,760
Speaker 5: You don't, I mean, I guess we know that. Wells Fargo,

806
00:44:03,920 --> 00:44:07,040
Speaker 5: despite their shenanigans, they didn't like lose a bunch of

807
00:44:07,080 --> 00:44:09,880
Speaker 5: customers how I still bank with Wells Fargo full disclosure,

808
00:44:09,960 --> 00:44:13,120
Speaker 5: And I'm embarrassed to say that, and I'm very seriously

809
00:44:13,160 --> 00:44:15,680
Speaker 5: rethinking that. But it's so inconvenient to change banks that

810
00:44:15,800 --> 00:44:18,520
Speaker 5: I think a lot of this stuff just you know,

811
00:44:19,040 --> 00:44:19,920
Speaker 5: of course they're crooked.

812
00:44:20,000 --> 00:44:22,480
Speaker 2: They're the bank yep I.

813
00:44:22,520 --> 00:44:26,400
Speaker 3: Bank with an evil leprechaun. Yeah, he lives out on

814
00:44:26,400 --> 00:44:27,080
Speaker 3: the west side.

815
00:44:27,320 --> 00:44:29,920
Speaker 5: At least get at least you get the little taste

816
00:44:29,920 --> 00:44:30,760
Speaker 5: of that pot of gold.

817
00:44:30,880 --> 00:44:33,080
Speaker 2: What kind of security is going on with this leprechaun?

818
00:44:33,320 --> 00:44:37,880
Speaker 3: It's massive, It's crazy. We could get selkies, you know, uh,

819
00:44:38,320 --> 00:44:45,560
Speaker 3: trees that you can't call enset. Look, man, I don't

820
00:44:45,600 --> 00:44:49,319
Speaker 3: want to get canceled in the in the fay community.

821
00:44:50,239 --> 00:44:51,799
Speaker 3: And this is not up to you, Ben. You know

822
00:44:52,000 --> 00:44:55,680
Speaker 3: that's up to the yes, uh, and that's their prerogative.

823
00:44:56,000 --> 00:44:58,480
Speaker 3: But I I know it's it's a dumb example and

824
00:44:58,480 --> 00:45:01,480
Speaker 3: I'm kind of punchy today. But the thing we have

825
00:45:01,520 --> 00:45:04,640
Speaker 3: to remember with a lot of the system of finance

826
00:45:04,640 --> 00:45:09,000
Speaker 3: overall is that it's easier for these folks to get

827
00:45:09,000 --> 00:45:11,600
Speaker 3: away with crimes than it is for an individual to

828
00:45:11,640 --> 00:45:15,800
Speaker 3: get away with crimes because the regulatory bodies are often compromised.

829
00:45:16,000 --> 00:45:19,480
Speaker 3: That's unfortunately and just true. And money is a heck

830
00:45:19,520 --> 00:45:24,279
Speaker 3: of an incentive for people to commit we you know,

831
00:45:24,360 --> 00:45:28,840
Speaker 3: the Justice Department saying conspiracy, this could be also described

832
00:45:28,880 --> 00:45:30,239
Speaker 3: as crimes of negligence.

833
00:45:30,600 --> 00:45:33,319
Speaker 5: Well, and you know, my initial reaction was awesome, the

834
00:45:33,360 --> 00:45:36,360
Speaker 5: bank's are finally getting taken to task and this is

835
00:45:36,400 --> 00:45:38,319
Speaker 5: a lot of money. And I asked, Matt if it

836
00:45:38,360 --> 00:45:40,239
Speaker 5: was meaningful, and you said it was just on the

837
00:45:40,360 --> 00:45:42,960
Speaker 5: edge of meaningful, and that the bank will continue. And

838
00:45:43,040 --> 00:45:46,360
Speaker 5: I just don't understand how that's allowed to happen. But

839
00:45:46,440 --> 00:45:48,120
Speaker 5: I guess it's just capitalism.

840
00:45:48,160 --> 00:45:50,920
Speaker 3: Baby. You got a right to exist.

841
00:45:51,080 --> 00:45:53,160
Speaker 5: You know, sure you made some mistakes were made, but

842
00:45:53,200 --> 00:45:57,640
Speaker 5: you've atoned, you paid your your ultimately paltry fine.

843
00:45:57,680 --> 00:45:59,800
Speaker 4: What was the big number, Matt, It was truly.

844
00:46:00,320 --> 00:46:04,600
Speaker 2: The big number was eighteen point three trillion dollars worth

845
00:46:04,640 --> 00:46:07,520
Speaker 2: of transaction activity through the bank, believe.

846
00:46:07,280 --> 00:46:09,600
Speaker 3: It right, which means that some of that money could

847
00:46:09,600 --> 00:46:13,000
Speaker 3: be counted twice because it's go because of how it's moving.

848
00:46:13,080 --> 00:46:16,719
Speaker 3: But still it is. It is crazy, man. Also, there's

849
00:46:16,719 --> 00:46:18,880
Speaker 3: the other side of this that we haven't talked about,

850
00:46:18,960 --> 00:46:23,600
Speaker 3: which is for governments, they have to reasonably think when

851
00:46:23,880 --> 00:46:26,760
Speaker 3: they're meeting out penalties and punishment, they have to reasonably

852
00:46:26,880 --> 00:46:31,440
Speaker 3: think about the possible larger economic consequences, right, Like if

853
00:46:31,480 --> 00:46:34,160
Speaker 3: you drive the bank into oblivion, what happens to all

854
00:46:34,160 --> 00:46:34,920
Speaker 3: those customers?

855
00:46:35,360 --> 00:46:40,360
Speaker 2: How much of our society runs on illicit drug trade

856
00:46:40,480 --> 00:46:43,440
Speaker 2: seriously a lot that we just don't even know about,

857
00:46:43,480 --> 00:46:46,200
Speaker 2: and it's just occurring, and the money is changing hands,

858
00:46:46,520 --> 00:46:48,880
Speaker 2: people are benefiting, and then it moves all the way

859
00:46:48,960 --> 00:46:53,120
Speaker 2: up through politics, like oh god, that I mean, there

860
00:46:53,160 --> 00:46:55,200
Speaker 2: are there's so many fictional stories about that, right, and

861
00:46:55,239 --> 00:46:57,800
Speaker 2: then we get to see little glimpses through the glass

862
00:46:57,840 --> 00:46:59,440
Speaker 2: with something like this, well.

863
00:47:00,200 --> 00:47:02,200
Speaker 5: Especially with all the limits that have been taken off

864
00:47:02,200 --> 00:47:05,440
Speaker 5: political donations, and that's almost a way of laundering money in.

865
00:47:05,360 --> 00:47:05,920
Speaker 3: And of itself.

866
00:47:06,200 --> 00:47:09,240
Speaker 5: It's a way of exercising you know, that soft power

867
00:47:09,320 --> 00:47:11,640
Speaker 5: I guess you call it, like over the course of

868
00:47:12,440 --> 00:47:14,200
Speaker 5: business and events and regulations.

869
00:47:14,280 --> 00:47:16,920
Speaker 4: I just can't believe how far we allowed.

870
00:47:16,600 --> 00:47:17,000
Speaker 3: That to go.

871
00:47:17,400 --> 00:47:20,160
Speaker 5: Whatever your political leanings are, I don't think anyone's super

872
00:47:20,200 --> 00:47:23,960
Speaker 5: stoked about this. Unlimited money corporations are people mentality.

873
00:47:24,040 --> 00:47:27,319
Speaker 3: I just think it's at least united. Is such a

874
00:47:27,400 --> 00:47:33,000
Speaker 3: grift and even just reading the legalistic parkour that some

875
00:47:33,040 --> 00:47:35,799
Speaker 3: of the smartest minds in the US had had to

876
00:47:35,840 --> 00:47:38,359
Speaker 3: bulst their way through to try to make it sound

877
00:47:38,400 --> 00:47:42,080
Speaker 3: like it was not an absolutely Unamerican, unhinged idea. It's

878
00:47:42,200 --> 00:47:47,120
Speaker 3: it's disappointing, which is worse than being outraged. Right in

879
00:47:47,160 --> 00:47:49,200
Speaker 3: this case, it's like, it's like the thing I do

880
00:47:49,360 --> 00:47:53,759
Speaker 3: now if I'm in traffic, I don't get angry. I

881
00:47:53,760 --> 00:47:55,759
Speaker 3: don't really. I don't have the emotional depth for that

882
00:47:55,840 --> 00:47:58,520
Speaker 3: kind of stuff. But I've found what hurts people most

883
00:47:59,000 --> 00:48:01,680
Speaker 3: is not giving them the anger. It's making eye contact,

884
00:48:01,880 --> 00:48:04,239
Speaker 3: pointing at them and giving them a thumbs down.

885
00:48:04,480 --> 00:48:08,240
Speaker 2: Oh, It's like I wouldn't like that.

886
00:48:08,239 --> 00:48:10,200
Speaker 3: That's why I do the cyber trucks and.

887
00:48:10,160 --> 00:48:11,840
Speaker 2: Saying you're weird.

888
00:48:13,280 --> 00:48:13,440
Speaker 1: Man.

889
00:48:13,520 --> 00:48:16,200
Speaker 5: You know what. My girlfriend yesterday pointed out that it

890
00:48:16,239 --> 00:48:18,480
Speaker 5: ain't cool, it weird. It's been co opted in that way.

891
00:48:18,560 --> 00:48:20,400
Speaker 5: I like weird. We have a sign hanging in our

892
00:48:20,440 --> 00:48:22,920
Speaker 5: living room that says stay weird, and it just feels

893
00:48:23,160 --> 00:48:24,640
Speaker 5: like it's been taken from us.

894
00:48:24,680 --> 00:48:27,040
Speaker 3: I don't I don't care pass you know what I mean?

895
00:48:27,080 --> 00:48:31,040
Speaker 3: All things pass? Uh. The weird was weaponized briefly for

896
00:48:31,080 --> 00:48:34,520
Speaker 3: one election and the time the next election comes around,

897
00:48:34,880 --> 00:48:36,160
Speaker 3: they'll just have a different word.

898
00:48:36,600 --> 00:48:37,400
Speaker 2: Yes, they will.

899
00:48:37,440 --> 00:48:38,520
Speaker 3: He'll be he's sporty.

900
00:48:38,880 --> 00:48:41,520
Speaker 2: I was gonna say he's chee cheesy.

901
00:48:43,880 --> 00:48:46,160
Speaker 3: Macari for everyone, free macaroni.

902
00:48:47,560 --> 00:48:49,560
Speaker 2: But one last thing, I just want to say, guys,

903
00:48:49,560 --> 00:48:51,160
Speaker 2: the thing is what we need to do. This is

904
00:48:51,200 --> 00:48:55,560
Speaker 2: my platform. I'm gonna run for Motus next in the

905
00:48:55,600 --> 00:48:59,040
Speaker 2: four years. No, uh, legalize all drugs as has been

906
00:48:59,040 --> 00:49:03,840
Speaker 2: proposed before. Allow the current cartel forces that exist throughout

907
00:49:03,840 --> 00:49:09,239
Speaker 2: the planet to become corporations oh yeah, and sell their products.

908
00:49:10,480 --> 00:49:14,719
Speaker 2: Make sure there are taxes, like heavy taxes apply to

909
00:49:14,920 --> 00:49:18,839
Speaker 2: all drugs that exist that are all legal now, and

910
00:49:19,000 --> 00:49:22,400
Speaker 2: remove all other forms of taxes. As we found human

911
00:49:22,440 --> 00:49:26,560
Speaker 2: beings love some drugs, sure, and they're gonna consume them, right,

912
00:49:26,640 --> 00:49:28,680
Speaker 2: we only tax the drugs from now on.

913
00:49:29,719 --> 00:49:33,680
Speaker 3: But that's a great idea. I don't think it'll work,

914
00:49:33,760 --> 00:49:39,239
Speaker 3: not because of any ethical concerns, but because drugs are

915
00:49:39,360 --> 00:49:42,840
Speaker 3: I would argue drugs are taxed illicit drugs through the

916
00:49:42,960 --> 00:49:48,279
Speaker 3: bribery system, so they're paying tax to specific corrupt individuals, right,

917
00:49:48,520 --> 00:49:50,080
Speaker 3: And that's a good argument we can make with the

918
00:49:50,120 --> 00:49:52,279
Speaker 3: drug dealers, because we'll say, look, now you're just you're

919
00:49:52,320 --> 00:49:55,000
Speaker 3: still paying the same viig. You're just paying it.

920
00:49:55,080 --> 00:49:58,240
Speaker 4: To a government and you have more real, enforceable protection

921
00:49:58,560 --> 00:50:01,160
Speaker 4: as opposed to hoping that the bribes work out.

922
00:50:01,080 --> 00:50:03,640
Speaker 3: In your favorite Oh, we're speaking of bribes. I wanted

923
00:50:03,640 --> 00:50:05,560
Speaker 3: to mention this. I didn't know. We didn't get to it.

924
00:50:05,600 --> 00:50:09,640
Speaker 3: But you guys read about Elon Musk's plan to pay

925
00:50:09,719 --> 00:50:13,560
Speaker 3: people one hundred bucks a pop in Arizona to vote.

926
00:50:14,400 --> 00:50:17,440
Speaker 3: Story for another day, But that that reminds uh Dylan's

927
00:50:17,600 --> 00:50:20,560
Speaker 3: entering the chat. We touched the nerve. Dylan wants us

928
00:50:20,600 --> 00:50:23,480
Speaker 3: to know that one point eight billion is less than

929
00:50:23,480 --> 00:50:25,240
Speaker 3: one percent of eighteen trillion.

930
00:50:25,840 --> 00:50:30,760
Speaker 5: Yeah. Yeah, when you consider the scale of the actual crime,

931
00:50:31,280 --> 00:50:33,840
Speaker 5: this isn't mean any more meaningful than any of the

932
00:50:33,880 --> 00:50:35,600
Speaker 5: other wrist slap type fees.

933
00:50:35,840 --> 00:50:40,800
Speaker 2: Finally, well, let's just put this That eighteen trillion number

934
00:50:40,960 --> 00:50:43,839
Speaker 2: isn't all you know, drug money and illicit funds. It's

935
00:50:43,960 --> 00:50:47,239
Speaker 2: just all the money that is not being looked at.

936
00:50:47,600 --> 00:50:52,200
Speaker 3: Yeah, and some people smoke tobacco and bongs. I'm sure right, Yeah.

937
00:50:52,160 --> 00:50:54,480
Speaker 4: Sometimes it's called a hookah.

938
00:50:54,560 --> 00:50:56,920
Speaker 3: Yeah, that's what you say at the store. But the

939
00:50:57,480 --> 00:50:59,160
Speaker 3: do you guys remember that when you had to you

940
00:50:59,160 --> 00:51:01,000
Speaker 3: had to play that song. Dance at the head shop

941
00:51:02,360 --> 00:51:03,720
Speaker 3: a tobacco water pipe.

942
00:51:03,800 --> 00:51:08,920
Speaker 5: Yeah, oh what webbs we weave all right, nark.

943
00:51:11,000 --> 00:51:14,399
Speaker 3: We webs we weave cheesy, cheesy stuff. As we moved

944
00:51:14,400 --> 00:51:17,719
Speaker 3: through Halloween, Matt, do we have a takeaway on the

945
00:51:17,719 --> 00:51:20,840
Speaker 3: bank here? I think we've outlined a lot of the problems,

946
00:51:20,880 --> 00:51:22,960
Speaker 3: and the most damning thing being, of course, that the

947
00:51:22,960 --> 00:51:28,120
Speaker 3: bank will continue. There's no takeaway, just dine in only.

948
00:51:28,320 --> 00:51:34,160
Speaker 2: Yes, sure, that's it at your local chick fil a.

949
00:51:35,239 --> 00:51:38,200
Speaker 3: Oh gosh, what a weird adventure we've been on. Join

950
00:51:38,320 --> 00:51:41,640
Speaker 3: us later in the week, folks. We will be returning

951
00:51:41,719 --> 00:51:45,359
Speaker 3: with episodes. We'll have listener mail. We've got some very

952
00:51:45,360 --> 00:51:48,640
Speaker 3: strange stuff on the way for you, which may not

953
00:51:48,719 --> 00:51:52,160
Speaker 3: be appropriate for all listeners. You'll see what we're talking about.

954
00:51:52,280 --> 00:51:54,680
Speaker 3: Just to heads up. In the meantime, give us your

955
00:51:55,000 --> 00:51:58,120
Speaker 3: takes on this stuff. Tell us about the DPRK North Korea,

956
00:51:58,200 --> 00:52:01,600
Speaker 3: your favorite robo shark. We also had some really interesting

957
00:52:01,640 --> 00:52:04,560
Speaker 3: conversations about the post office that I think we'll get

958
00:52:04,600 --> 00:52:07,480
Speaker 3: to later, but for now, drop us a line. We

959
00:52:07,560 --> 00:52:09,600
Speaker 3: try to be easy to find on the internet.

960
00:52:09,960 --> 00:52:11,800
Speaker 5: Yeah, that's right, you can find us the handle Conspiracy

961
00:52:11,840 --> 00:52:13,080
Speaker 5: Stuff where we exist on.

962
00:52:13,280 --> 00:52:16,560
Speaker 4: You too, where you can peruse videos.

963
00:52:16,040 --> 00:52:20,799
Speaker 5: Of our faces containing facsimiles of our voices telling you

964
00:52:20,840 --> 00:52:24,760
Speaker 5: stuff about things. You can also find that handle on xfka, Twitter,

965
00:52:25,200 --> 00:52:27,680
Speaker 5: and on Facebook where we have our Facebook group Here's

966
00:52:27,680 --> 00:52:30,480
Speaker 5: where it gets crazy. On Instagram and TikTok. However, we

967
00:52:30,520 --> 00:52:32,120
Speaker 5: are Conspiracy Stuff Show.

968
00:52:32,960 --> 00:52:35,680
Speaker 2: Do you like to call people? Call us? Our number

969
00:52:35,719 --> 00:52:40,080
Speaker 2: is one eight three three std WYTK. When you call in,

970
00:52:40,280 --> 00:52:43,040
Speaker 2: give yourself a cool nickname and guess what that's really

971
00:52:43,080 --> 00:52:44,960
Speaker 2: all you got to do? Please let us know if

972
00:52:44,960 --> 00:52:46,879
Speaker 2: we can use it on the air or not. Your

973
00:52:46,920 --> 00:52:49,480
Speaker 2: message that is in your voice and all that stuff.

974
00:52:49,760 --> 00:52:51,560
Speaker 2: Once you've done all that, say whatever you want. You

975
00:52:51,600 --> 00:52:53,399
Speaker 2: got three minutes. If you've got more to send us,

976
00:52:53,400 --> 00:52:56,680
Speaker 2: maybe a link or two, maybe an attachment that has

977
00:52:56,680 --> 00:52:59,480
Speaker 2: your Kiddykat's face on it. Man, why not instead send

978
00:52:59,560 --> 00:53:01,120
Speaker 2: us a good old fashioned email.

979
00:53:01,239 --> 00:53:05,120
Speaker 3: We are the entities that read every piece of correspondence

980
00:53:05,160 --> 00:53:09,600
Speaker 3: we receive, and we cannot wait to hear from you. Specifically,

981
00:53:09,719 --> 00:53:14,120
Speaker 3: send us your secret words, your arcane text. Tell us

982
00:53:14,440 --> 00:53:17,319
Speaker 3: a story as we gather around the digital campfire. Take

983
00:53:17,400 --> 00:53:19,200
Speaker 3: us to the edge of the rabbit hole. We'll do

984
00:53:19,320 --> 00:53:21,200
Speaker 3: the rest. And we also want to give a thanks

985
00:53:21,200 --> 00:53:24,840
Speaker 3: to everybody's been writing in. Our email has been blowing

986
00:53:24,920 --> 00:53:27,200
Speaker 3: up like a Boeing satellite, and we couldn't be more

987
00:53:27,280 --> 00:53:30,520
Speaker 3: pleased with that. Be well aware, yet unafraid. Sometimes the

988
00:53:30,600 --> 00:53:33,440
Speaker 3: void writes back, We'll see you out there in the dark.

989
00:53:33,760 --> 00:53:55,040
Speaker 3: Conspiracy at iHeartRadio dot com.

990
00:53:55,239 --> 00:53:57,320
Speaker 2: Stuff they don't want you to know is a production

991
00:53:57,400 --> 00:54:00,879
Speaker 2: of iHeartRadio. For more podcasts from my heart Radio, visit

992
00:54:00,920 --> 00:54:04,000
Speaker 2: the iHeartRadio app, Apple Podcasts, or wherever you listen to

993
00:54:04,080 --> 00:54:04,880
Speaker 2: your favorite shows.