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

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

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

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Speaker 1: production of iHeartRadio.

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

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Speaker 2: my name is Noah.

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Speaker 3: They called me Ben.

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Speaker 4: We're joined as always with our super producer Alexis code

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Speaker 4: named Doc Holliday Jackson. Most importantly, you are here and

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Speaker 4: that makes this the stuff they don't want you to know.

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Speaker 4: It is the top of the week and as we

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Speaker 4: hurtle headlong into summer, we wanted to do one of

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Speaker 4: our favorite things on the show, which is to bring

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Speaker 4: you our fellow conspiracy realist, some strange news. We're going

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Speaker 4: to get to the bleeding edge of AI, a story

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Speaker 4: that I think we all strongly feel should be discussed

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Speaker 4: much more in depth. And speaking of depth, we're going

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Speaker 4: to examine a strange case of some operatives who met

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Speaker 4: an untimely end in literal depths. And then you know,

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Speaker 4: we'll have a palate cleanser along the way.

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Speaker 3: Don't worry, we're not. We're not going to keep it

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Speaker 3: all spooky.

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Speaker 4: But I think before before we get into that, maybe

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Speaker 4: just a quick update really briefly, guys, Remember we talked

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Speaker 4: about our pal, Elon Musk, the famous Salon. Yeah, famous

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Speaker 4: Emerald guy.

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Speaker 3: He's a busy boy.

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Speaker 4: He's got a lot of stuff going on, and the

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Speaker 4: FDA recently gave his one of his companies, the official

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Speaker 4: green light to implant things in the human brain.

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Speaker 3: The new leak is coming.

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Speaker 2: Wow.

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Speaker 3: Wasn't this the technology that had previously been experimented on

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Speaker 3: with simions or with with primates to pretty inhumane effect.

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Speaker 3: If I'm not in I believe there was some some

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Speaker 3: investigations that showed that they were not doing right by

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Speaker 3: our primate cohorts.

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Speaker 4: Yeah, that's exactly it. That's exactly it. So the extent

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Speaker 4: of the trial is not known yet Neurolink. Their public

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Speaker 4: statements are are pretty short. You know, they're clearly dictated

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Speaker 4: by their legal department, and all we know is they

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Speaker 4: are not they're not taking participants for this clinical trial

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Speaker 4: just yet. We will examine this maybe in a future episode.

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Speaker 4: But what you need to know, the positive thing, which

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Speaker 4: is very real, is that the implant is primarily meant

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Speaker 4: to help people with severe paralysis regain movement and quality

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Speaker 4: of life through controlling external technologies using the power of thought,

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Speaker 4: So it could could could be really good.

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Speaker 3: Maybe just leave it there. It's a nice rite, isn't

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Speaker 3: it funny? How like early on, you know, in Elon

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Speaker 3: Musk coverage, he was sort of like cast as this

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Speaker 3: like real life Tony Stark, you know, the Iron Man,

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Speaker 3: you know, tech billionaire from comics fame. And now he's

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Speaker 3: a bit more of a rational ghoul type figure. You know,

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Speaker 3: he's become kind of a bit more of like a

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Speaker 3: super villain. Maybe this will help the you swing the

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Speaker 3: pendulum back a little more in the other direction. Or

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Speaker 3: it could be like they're abducting unhoused people from the

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Speaker 3: streets and experimenting on their brains, or it's ad supported.

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Speaker 2: Did you guys hear about the fMRI study with blood

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Speaker 2: flow and like not chat bought technology, but you know,

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Speaker 2: very similar technology, these aid learning servers to watch the

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Speaker 2: blood flow in somebody's brain while they're in an fMRI

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Speaker 2: machine to predict what their thoughts are. So this experiment

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Speaker 2: would be like showing them a silent movie while they're

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Speaker 2: in that machine, and then this thing is like trying

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Speaker 2: to predict what their thoughts are while they're inside the machine.

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Speaker 2: And watching something on televis or watching a silent movie.

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Speaker 4: It's already happening. It's so nuts. I don't know if

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Speaker 4: you'd listen to Ted Talk Daily, great podcast based on

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Speaker 4: Ted Talks, which can be a little bit Pollyanna. You know,

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Speaker 4: the future is not always going to be great. But

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Speaker 4: they recently had a wonderful episode about privacy of thought

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Speaker 4: and how that's becoming increasingly endangered by things like the

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Speaker 4: technology we're talking about again. You know, we have a

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Speaker 4: whole show to get to. We just wanted to let

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Speaker 4: everybody know we're aware of that one the same way

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Speaker 4: that we're aware of Cop City here in Atlanta. Those

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Speaker 4: episodes are on the way, but this really right now

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Speaker 4: for our purposes. The neurlink stuff and what you pointed out,

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Speaker 4: Matt about using AI to monitor brain activity, I think

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Speaker 4: that takes us really smoothly into our first story, because

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Speaker 4: AI is everybody's worried about writing and visual arts, as

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Speaker 4: we should be, right, But there's much more to the story. No,

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Speaker 4: you found you found something that is just can.

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Speaker 3: I say that it's just hellish?

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Speaker 4: This could be hellish.

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Speaker 3: It's hellish and unsurprising because I think we're at the

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Speaker 3: stage now where this tech is getting so exponentially good,

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Speaker 3: it's improving, it's such an insane rate that we're really

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Speaker 3: just now starting to see the stories kind of trickle

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Speaker 3: out as to what the kind of early game uses

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Speaker 3: are going to be for this technology. And like, while

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Speaker 3: obviously things like writing and art are important, there are

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Speaker 3: people whose jobs revolve around those things, there are much

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Speaker 3: more dystopian depths that this technology can stoop to. Let's

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Speaker 3: just say, let's talk about debt collection. Okay, debt collection

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Speaker 3: is a little bit of background. If anyone's ever been

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Speaker 3: unlucky enough to get a call where it says this

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Speaker 3: call is being recorded, this is an attempt to collect

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Speaker 3: a debt. YadA, YadA, YadA. Usually get a little pre

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Speaker 3: recorded voice like that, and then it bumps you to

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Speaker 3: a person or the person is reading from a script.

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Speaker 3: And that's a whole industry in and of itself. Things

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Speaker 3: like support centers for call centers for tech support and

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Speaker 3: all that stuff, and call centers in general that do

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Speaker 3: all kinds of things like collecting debts or reaching out

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Speaker 3: about utilities and things like that. But then if you

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Speaker 3: get reported for failure to pay, you are getting a

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Speaker 3: debt collected from you. You are an attempt to collect

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Speaker 3: that debt, and that can reflect on your credit and

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Speaker 3: folks will go to some lengths to talk you out

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Speaker 3: of your money. And I mean, of course, if you

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Speaker 3: are in debt, you do owe that money. You did

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Speaker 3: sign up for that. But we also know there are

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Speaker 3: lots of predatory lending practices that are pretty gross that

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Speaker 3: target folks that are less well off. Now we're seeing

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Speaker 3: a lot of things like these pay later kind of

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Speaker 3: services that PayPal offers, and it's like another little thing

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Speaker 3: where even with a relatively meager credit score, you can

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Speaker 3: get this kind of like you get the thing now

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Speaker 3: and you pay and install. The problem with some of

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Speaker 3: those services is that they actually don't build credit for you.

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Speaker 3: I found that out a little bit later in a

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Speaker 3: different time in my life, where like, for example, PayPal

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Speaker 3: has a credit part of its service, but for whatever reason,

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Speaker 3: that's not the same as having a loan or having

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Speaker 3: a credit card. It does not actually build credit for you,

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Speaker 3: So it's really not benefiting you in the long term

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Speaker 3: in terms of your financial wellness. You know, and just

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Speaker 3: have the ability to for example, get a mortgage later

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Speaker 3: down the line or whatever it might be so now

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Speaker 3: there is a new development in debt collection that involves

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Speaker 3: of course chat GPT or GPT four. There are services

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Speaker 3: now that are popping up out of the one in

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Speaker 3: particular that this Vice article by Corn Fife Fai fe

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Speaker 3: Fi fe Fife sounds good is talking about a company

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Speaker 3: based in New York and Bangalore called skit dot Ai,

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Speaker 3: which is described as being a digital voice agent. So

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Speaker 3: it's essentially what the article describes as the next generation

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Speaker 3: of the robocall as we know. Combining things like chat

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Speaker 3: GPT with voice let's say, synthesis technology, you could theoretically

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Speaker 3: and in actuality speak to a robot that can then

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Speaker 3: take cues from you that aren't just playing back another clip.

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Speaker 3: You know, it's actually engaging with you. So using that

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Speaker 3: text to speech ability and this AI chatbot technology, you

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Speaker 3: could have a dynamic responsive This is from the article

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Speaker 3: Conversation with this technology, And of course the goal here

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Speaker 3: is to get rid of humans, get rid of human jobs.

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Speaker 3: These people no longer are required because they can have

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Speaker 3: a can scale this technology in an alarming way. You

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Speaker 3: can have a technology doing the job of hundreds, if

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Speaker 3: not thousands of employees. Because it's all about server space.

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Speaker 3: It's all about processing capacity. You know, that stuff is

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Speaker 3: relatively easy to upgrade and to keep in these server farms,

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Speaker 3: and you don't have to pay it once you buy it.

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Speaker 3: It's sort of a one and done thing. You just

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Speaker 3: have to maintain it. So the idea is to employ

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Speaker 3: this technology in reaching out to individuals explaining to them

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Speaker 3: that they are in big trouble and they need to

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Speaker 3: pay up or they're gonna you know, they are going

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Speaker 3: to be repercussions rather than sticking to a script, and

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Speaker 3: an individual you know, would would be looking at these

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Speaker 3: things can be a lot more nimble and kind of

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Speaker 3: you know, obviously they've got their guard rails. You know,

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Speaker 3: that would probably be dictated by legal language and you

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Speaker 3: know as far as what the company is able to

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Speaker 3: communicate to an individual and what they are not. But

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Speaker 3: the point is using AI for debt collection certainly increases

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Speaker 3: the capacity for these companies to go out after individuals.

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Speaker 3: As we know, during the pandemic, there was quite a

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Speaker 3: boom in online shopping that was sort of boosted by

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Speaker 3: that stuff I was just talking about earlier, these buy now,

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Speaker 3: pay later models, you know, things like Sezel, which just

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Speaker 3: sounds like a made up thing in afy movie, or

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Speaker 3: like a Silicon Valley name for a company quad pay,

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Speaker 3: something called Klarna that I'm also not aware of that

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Speaker 3: also sounds made up, and companies that were more aware of,

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Speaker 3: like PayPal, are using. So essentially what this amounts to

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Speaker 3: is a increasing amount of debt that individuals are racking

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Speaker 3: up have racked up, oftentimes with exorbitant interest rates that

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Speaker 3: are associated with them, and of course, due to certain

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Speaker 3: after effects of the pandemic, many people have lost their jobs.

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Speaker 3: So now there's more money to be made than ever

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Speaker 3: in collecting these debts in the form of really applying

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Speaker 3: the pressure, kind of mafia style, like I'd be a

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Speaker 3: shame of something happened to this cup here pushing off

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Speaker 3: the table. So this is again not surprising. It's just

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Speaker 3: another use of this technology that maybe wouldn't have been

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Speaker 3: instantly apparent, but it is absolutely happening. So in the

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Speaker 3: article they quote a statement from the company skit dot

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Speaker 3: Ai that describes the technology as follows. They credit it

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Speaker 3: with quote alleviating the negative feelings customers might experience with

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Speaker 3: a human during an uncomfortable process, because the writer points

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Speaker 3: out it's obviously, of course a lot more comfortable to

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Speaker 3: negotiate with the robot. What do you guys think about that?

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Speaker 3: Is that true?

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Speaker 2: It's obviously more comfortable just from.

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Speaker 4: A Vice article, right, so yes, yeah, so there's always

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Speaker 4: an implied base level of sarcasm maybe, but it's maybe

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Speaker 4: a case by case basis too.

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Speaker 3: This makes me.

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Speaker 4: Think, you know, it's weird that we haven't done an

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Speaker 4: episode on corruption in the deck collection industry in general

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Speaker 4: like this, this feels like it is good for the

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Speaker 4: bottom line of these companies, right as you articulated, So well,

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Speaker 4: there no, but it also feels like they're attempting maybe

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Speaker 4: and maybe they're sincere about it, but they're attempting to

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Speaker 4: ascribe benefits to this kind of automation that are not

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Speaker 4: the real benefit, which is one hundred percent saving money

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Speaker 4: reducing the costs associated with having a human staff. And also,

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Speaker 4: I guess we should point out here in the US

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Speaker 4: it may work differently in your neck of the global woods,

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Speaker 4: but you have certain non negotiable rights in a debt

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Speaker 4: collection situation, and they're not going to They're not going

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Speaker 4: to be the ones to.

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Speaker 3: Tell you about those.

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Speaker 4: So don't let yourself be intimidated into something that's possibly illegal.

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Speaker 4: I don't like this is okay? This is how is

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Speaker 4: this not weaponnising that immensely irritating robo menu. You have

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Speaker 4: to go through whatever you call a company now, right,

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Speaker 4: and you have to use voice commands, right. They're increasingly

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Speaker 4: phased out touch tone because they want your vocal data whatever.

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Speaker 3: Sorry, that's no, no, that's its own thing. And that's true.

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Speaker 3: And it has also become increasingly difficult, and they make

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Speaker 3: it so difficult by wrapping you up in this web

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Speaker 3: of menus that you have to listen through all of

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Speaker 3: the options before you get to the one. By the

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Speaker 3: time you get to it, you might have even not

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Speaker 3: remembered where you are in the list. Then you end

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Speaker 3: up inevitably back on the home menu. Then you have

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Speaker 3: to listen to the whole thing again. They're relying on

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Speaker 3: it to be so frustrating that you just kind of

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Speaker 3: give up. And I guess this, you know. This whole

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Speaker 3: notion of the friendly robot, I think is something that

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Speaker 3: we have seen in science fiction from the past, the

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Speaker 3: idea of this friendly robot that is a helper robot

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Speaker 3: that's there to serve you and make your experience nice.

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Speaker 3: But also this is an inherently combative situation, right that

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Speaker 3: we're describing here. There is nothing particularly friendly about someone

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Speaker 3: coming at you saying you owe us money and if

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Speaker 3: you don't pay us, we're gonna wreck you, you know, in

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Speaker 3: no uncertain terms. And again to your point, then these

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Speaker 3: guard rails certainly won't allow the machine to give you

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Speaker 3: any real answers that are helpful, you know, that's up

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Speaker 3: to you to determine, you know, And it does beg

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Speaker 3: the question can a human in this situation either because

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Speaker 3: these humans that are talking to you they're being recorded too,

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Speaker 3: they also have guardrails, So is it really that different?

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Speaker 3: Is my question? And I think the main beef that

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Speaker 3: I think all three of us have here is that

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Speaker 3: these are jobs that people depend on. These are sort

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Speaker 3: of entry level jobs that many people who maybe have

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Speaker 3: situations where they need to be able to work remotely

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Speaker 3: would benefit from, and this is going to wipe those

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Speaker 3: jobs off the map. That's what, aside from any ethical

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Speaker 3: questions about just machine learning and AI in general, just

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Speaker 3: the technology itself and it's interaction with humans, it's about

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Speaker 3: eliminating jobs. And as we know, with the labyrinthine menus

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Speaker 3: that you're faced with and the inability of these folks,

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Speaker 3: you know, to actually give you much useful information. This

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Speaker 3: is the perfect job to replace with AI because these

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Speaker 3: humans that are on there are kind of hindered anyway.

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Speaker 3: They're sort of neutered in such a way where they

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Speaker 3: can't really speak to you as a human. They're basically

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Speaker 3: human robots anyway.

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Speaker 2: Yeah, it is interesting how that functions. It is weird

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Speaker 2: that this is one of those maybe low level entry positions.

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Speaker 2: Right when you're looking for a job, you just need

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Speaker 2: to go out there and get a job. This is

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Speaker 2: one of those position mission based, yes, and it's often

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Speaker 2: just an open job that you could go in phil

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Speaker 2: if you needed to write I need money, I need

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Speaker 2: a job. This is one of the things you could do.

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Speaker 3: We're so a job that's off an outsourced to other

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Speaker 3: countries as we do, you know.

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Speaker 4: Very complex because I think, just to add to what

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Speaker 4: you're saying, they're met I think a lot of people

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Speaker 4: don't understand that many debt collection outfits, you know, they

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Speaker 4: are hired guns. They're already the contractors. They bought the

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Speaker 4: debt from someone else at a discount, which is why

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Speaker 4: things are often negotiable because there's a margin, there's a

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Speaker 4: window and they can go down to a certain threshold

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Speaker 4: and still make money, still make good on whatever their

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Speaker 4: deal was. It's just it's very I understand it. And

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Speaker 4: you know, we don't want to knock people who are

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Speaker 4: making a living because they have to. But obviously this

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Speaker 4: can be a nasty, nasty business, and I think AI

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Speaker 4: would be able to I don't know, man, I don't

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Speaker 4: know if we're going in the same way with this,

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Speaker 4: but I think AI will be even more efficient at

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Speaker 4: squeezing the blood from the stone warm well.

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Speaker 3: I thought it was funny that you mentioned the bleeding

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Speaker 3: edge of AI, that that phrase immediately popped into my head.

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Speaker 3: It's the squeezing blood from the snow edge of AI.

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Speaker 3: And to your point, Bentos read a little blurb from

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Speaker 3: the article here. From the Vice article, some of the

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Speaker 3: companies that stand to benefit most from AI integration are

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Speaker 3: those that purely exist to collect debt. These companies, known

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Speaker 3: as debt buyers, purchase quote distressed debt from other creditors

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Speaker 3: at steep discounts, usually pennies on the dollar, then try

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Speaker 3: as hard as they can to get debtors to repay

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Speaker 3: in full. They don't issue loans or provide any kind

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Speaker 3: of service that clients might owe them for. It's a

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Speaker 3: business model built on profiting from people who fell behind

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Speaker 3: on payments to someone else. They also rely heavily on

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Speaker 3: the civil court system, which some experts believe will soon

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Speaker 3: be flooded by AI generated debt lawsuits.

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Speaker 5: Oh, I just now got it, because a debt collection

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Speaker 5: agency cannot, at least in the US, a debt collection

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Speaker 5: agency cannot have someone arrested.

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Speaker 3: For failure to pay off that debt. Yet, how think

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Speaker 3: debtor's prison exists anymore? Right? Currently? Yeah? Yeah? Currently?

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Speaker 4: But the way people can get arrested is if they're

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Speaker 4: not complying with a court order. So taking it through

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Speaker 4: the court's automating litigation, I think another a guy just

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Speaker 4: got in trouble for using chat GPT to write a

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Speaker 4: case brief.

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Speaker 3: Bat. I don't know, Matt. I feel like the next step, though,

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Speaker 3: right is automating low level par legal jobs and like

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Speaker 3: writing these kinds of that's the next step, you know,

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Speaker 3: once it gets approval and they realize, okay, this is

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Speaker 3: accurate enough, it's going to inevitably be used for that.

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Speaker 4: I feel like I just got so contankerous that Matt,

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Speaker 4: I might you were making a great point, and I

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Speaker 4: stepped in and I was like, yeah, and also screw

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Speaker 4: these guys, and then just went kind of Dennis Miller,

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Speaker 4: my bad.

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Speaker 2: No, you're fine. I'm correct me if I'm wrong in

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Speaker 2: my thinking here, guys. But it feels like it's eliminating

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Speaker 2: a lot of the jobs that either a you get

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Speaker 2: early on as a kid. I'm thinking fast food jobs

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Speaker 2: that are quickly have already been replaced for the most part,

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Speaker 2: But like all the other parts of fast food, I

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Speaker 2: think are gonna go things like a telemarketer or somebody

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Speaker 2: who is doing debt collection. You go into a call center,

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Speaker 2: you work every day. These are not only the jobs

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Speaker 2: that young people would get as a starting out position.

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Speaker 2: There are also the jobs that maybe somebody who's spent

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Speaker 2: some time in prison and is getting out and it

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Speaker 2: needs a new job to get started again, right.

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Speaker 3: Or elderly folks that don't have a retirement plan, you know,

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Speaker 3: just to keep them afloat.

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Speaker 2: It feels like we're cutting out a lot of that stuff.

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Speaker 2: I'm worried that we're going to And when you're talking

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Speaker 2: about pair of leegals, you're talking about cutting out that

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Speaker 2: first job out of college, right, if you're going into law,

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Speaker 2: you may be going in as an apprentice or something

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Speaker 2: becoming a pair of legal even like just trying to

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Speaker 2: get in at that lower level. It feels like if

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Speaker 2: we eliminate all that, then you're either you're either not

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Speaker 2: a lawyer or you're a full fledged lawyer now, or

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Speaker 2: you're you know, you're not a blacksmith you've never touched metal,

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Speaker 2: or oh nope, you're the black smith.

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Speaker 3: Apprenticeship stuff has been phased out for a long time.

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Speaker 3: It feels like it just doesn't exist anymore, you know.

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Speaker 4: It's the what what we're looking at is a real

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Speaker 4: time depiction of something, or a real time harbinger of

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Speaker 4: something we predicted a while ago, which is, yes, a

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Speaker 4: utopian post work economy may exist someday.

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Speaker 3: To work right to that.

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Speaker 4: Between now and then, what it will inevitably happen along

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Speaker 4: that path is not the post work economy, but the

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Speaker 4: post worker economy. You'll still need to have a job

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Speaker 4: to exist. You just won't be able to have a job.

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Speaker 3: If they wanted to do it right, they would be

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Speaker 3: you know, doing some kind of let's just say it,

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Speaker 3: socialist kind of programs. Like a universal basic income or

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Speaker 3: something they would be, you know, developing these things in parallel,

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Speaker 3: but instead, as the United States is kind of notorious

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Speaker 3: for doing, we're just taking the shiny new object and

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Speaker 3: shoving it right out of the marketplace without preparing for

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Speaker 3: what having it will inevitably reek. I don't know, man,

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Speaker 3: it just doesn't feel right because to your point, Matt,

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Speaker 3: like those jobs are going to be eliminated, and there

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Speaker 3: are folks that don't have access to good education and

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Speaker 3: that live in underserved areas and are part of underserved

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Speaker 3: demographics that are no longer going to have a leg

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Speaker 3: to stand on. And without something like a universal basic

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Speaker 3: income or a more robust welfare system, this stuff is

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Speaker 3: going to really do some damage. A lot of nods.

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Speaker 3: I think we're all on the same page. Let's take

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Speaker 3: a pause after this depressing conclusion to this story, and

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Speaker 3: we'll be back with another piece of strange news.

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Speaker 4: And we have returned. We explored something nigh inevitable. Like

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Speaker 4: we said, the Bleeding Edge, we wanted to give you

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Speaker 4: a bit of a palate cleanser, a fun conspiracy. Who

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Speaker 4: doesn't love a heist? We hope that you love heist

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Speaker 4: as much as the four of US fellow conspiracy realists.

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Speaker 4: This is a lighthearted one. We hope it gives you

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Speaker 4: a chuckle, even though I think I'm like legally required

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Speaker 4: to say you shouldn't pull heist. Here's what happened. This

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Speaker 4: is this is an earlier story. It didn't get to

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Speaker 4: the US for a little while. In Canada, police stumbled

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Speaker 4: upon a ridiculous crime. Shout out to our Pure podcast.

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Speaker 4: Ridiculous crime. Somebody stole thousands and thousands of dollars worth

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Speaker 4: of toothpaste. They stole, Yeah, they stole at least two

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Speaker 4: one hundred dollars US worth of toothpaste, and the North

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Speaker 4: Vancouver Royal Canadian Mounted Police diplomatically described this as a

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Speaker 4: failed attempt at a clean getaway. This was at a

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Speaker 4: superstore and officers just happened to be in the area,

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Speaker 4: like in the parking lot, and they saw this guy

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Speaker 4: running out. Picture whatever action movie heist film score you want,

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Speaker 4: think of heat if you want.

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Speaker 3: Yeah, mission impossible.

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Speaker 4: Perhaps yeah he's got, he's got, or this person has

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Speaker 4: Duffel bags and then like a child's red plastic wagon.

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Speaker 3: I love the image on the Yeah, go to the

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Speaker 3: DH News article.

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Speaker 4: Yeah, that's Daily Hive dot com. That's one of the

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Speaker 4: articles that has a picture of this, and we'll get

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Speaker 4: to Twitter in a second. Uh, Like I say, a

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Speaker 4: child's red wagon full of what looks to me was

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Speaker 4: at censidine toothpaste. Yeah, sensidine toothpaste. It's a classic, classy paste.

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Speaker 4: So learned about this because it turns out that the

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Speaker 4: North Vancouver RCMP Royal Canadian Mounted Police they have a

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Speaker 4: Twitter and they posted the following took a boot being

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Speaker 4: in the right place at the right time. On Friday,

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Speaker 4: officers were near superstore for an unrelated matter when they

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Speaker 4: observed a man running out of the emergency exit. Followed

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Speaker 4: by the staff, officers jumped into action. They arrested him

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Speaker 4: and returned two dollars worth of toothpaste.

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Speaker 5: Thank you, noe it in it?

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Speaker 4: Okay?

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Speaker 3: Well, doc, could you put in to day dot?

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Speaker 4: Could you put in something like the law and perfect

427
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Speaker 4: just not close enough to get a sued. So there

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Speaker 4: were a lot of questions here. First off, we know

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Speaker 4: that some consumer products are stolen more often than others. Sadly, uh,

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Speaker 4: hygienic products may get stolen more often, right like people

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Speaker 4: may steal sanitary pads or diapers, out of necessity. We

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Speaker 4: know that during the pandemic, people were stealing sanitizer, they

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Speaker 4: were stealing toilet paper because they could sell it pretty easily.

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Speaker 4: But toothpaste, though, Like, why why would you steal so

435
00:25:04,080 --> 00:25:05,160
Speaker 4: much toothpaste?

436
00:25:05,680 --> 00:25:07,480
Speaker 3: Is this a rhetorical question or is yeah?

437
00:25:07,520 --> 00:25:11,399
Speaker 4: No, I'm not styling it, and I'm asking you guys, like,

438
00:25:11,400 --> 00:25:13,920
Speaker 4: in what world would it occur to you?

439
00:25:14,240 --> 00:25:14,600
Speaker 3: Where?

440
00:25:14,840 --> 00:25:17,919
Speaker 4: What series of events would lead you to a moment

441
00:25:18,119 --> 00:25:21,600
Speaker 4: in your life where you said the choice is clear?

442
00:25:21,840 --> 00:25:24,920
Speaker 3: Remember when we we did it. We did an episode

443
00:25:25,280 --> 00:25:27,120
Speaker 3: we talked about a story where there was a lot

444
00:25:27,119 --> 00:25:30,960
Speaker 3: of spam being stolen in Hawaii, to the point where

445
00:25:31,000 --> 00:25:33,960
Speaker 3: they had to, you know, put the spam behind like

446
00:25:34,000 --> 00:25:37,080
Speaker 3: those glass cases with the key, so like the employee

447
00:25:37,080 --> 00:25:40,480
Speaker 3: of the Quickie mart has to grab the spam for you.

448
00:25:40,640 --> 00:25:42,000
Speaker 3: I don't think this is the same thing. I don't

449
00:25:42,040 --> 00:25:45,600
Speaker 3: think toothpaste exists at a higher premium or street value

450
00:25:45,640 --> 00:25:47,760
Speaker 3: in Canada than another parts of the world. But maybe

451
00:25:47,760 --> 00:25:48,160
Speaker 3: I'm wrong.

452
00:25:48,920 --> 00:25:52,400
Speaker 2: I'll tell you exactly why you steal this much sensorine toothpaste.

453
00:25:52,640 --> 00:25:56,280
Speaker 2: Come on, you guys, you know this why you're on

454
00:25:56,320 --> 00:25:59,760
Speaker 2: the inside. Your sales rep for one of the other

455
00:25:59,800 --> 00:26:03,240
Speaker 2: big toothpaste guys. You gotta get that stuff off the shelf.

456
00:26:03,280 --> 00:26:06,280
Speaker 2: For some reason, everyone wants censidine right now. We gotta

457
00:26:06,440 --> 00:26:07,960
Speaker 2: curve this just.

458
00:26:08,160 --> 00:26:11,520
Speaker 4: And now now it's it's wrecking the public image too, right,

459
00:26:11,800 --> 00:26:15,240
Speaker 4: sensidid that's the number one toothpaste of criminals.

460
00:26:15,720 --> 00:26:18,400
Speaker 3: Right, So yeah, night.

461
00:26:18,240 --> 00:26:22,360
Speaker 4: Out of ten failed robbers recommend sensidine and they all

462
00:26:22,400 --> 00:26:22,880
Speaker 4: get caught.

463
00:26:23,480 --> 00:26:26,159
Speaker 2: How crazy would that be though? If somebody walks in

464
00:26:26,240 --> 00:26:30,120
Speaker 2: your apartment or whatever, and you know they just You've

465
00:26:30,160 --> 00:26:34,520
Speaker 2: got an entire closet of toothpaste, and you know, anytime

466
00:26:34,520 --> 00:26:36,560
Speaker 2: it's time to refill, you get to have that moment

467
00:26:36,600 --> 00:26:38,640
Speaker 2: of like check this out.

468
00:26:39,600 --> 00:26:42,240
Speaker 3: That's my question though, Is there a Is there some

469
00:26:42,280 --> 00:26:46,080
Speaker 3: sort of toothpaste shortage in Canada that we're not aware of?

470
00:26:46,320 --> 00:26:48,560
Speaker 3: Is the street price of tooth is? Is there a

471
00:26:48,600 --> 00:26:52,119
Speaker 3: black market for toothpaste? It just seems like that's such

472
00:26:52,160 --> 00:26:54,359
Speaker 3: an easy thing to get. No one would ever need

473
00:26:54,400 --> 00:26:56,240
Speaker 3: to buy it on the black market, So I just

474
00:26:56,280 --> 00:26:58,440
Speaker 3: don't understand what the endgame is here.

475
00:26:58,680 --> 00:27:01,760
Speaker 4: So yes, I I think this is a really good point.

476
00:27:02,280 --> 00:27:05,920
Speaker 4: These are several good points you're making, because as stute listeners,

477
00:27:05,960 --> 00:27:08,200
Speaker 4: you may have noticed that I stumbled a little bit

478
00:27:08,240 --> 00:27:11,560
Speaker 4: in the beginning of this story. I did some digging.

479
00:27:11,720 --> 00:27:15,240
Speaker 4: I thought maybe this was just like a one off haha,

480
00:27:15,280 --> 00:27:19,280
Speaker 4: you know, Florida Man level kind of tail that would

481
00:27:19,400 --> 00:27:23,800
Speaker 4: lead us to some interesting questions. But upon just just

482
00:27:23,840 --> 00:27:28,080
Speaker 4: a little bit of digging around, I found that this

483
00:27:28,200 --> 00:27:33,359
Speaker 4: is not the first case of a toothpaste heist this year. Really,

484
00:27:33,400 --> 00:27:37,800
Speaker 4: this appears, yep, it appears that on March March seventh,

485
00:27:38,560 --> 00:27:44,479
Speaker 4: twenty twenty three, also in Canada, someone stole a truck

486
00:27:44,760 --> 00:27:49,480
Speaker 4: containing two hundred and fifty thousand dollars worth of toothpaste.

487
00:27:49,520 --> 00:27:51,399
Speaker 3: Why do we talk about that story? That's obviously the

488
00:27:51,440 --> 00:27:54,760
Speaker 3: superior hecet this. It was as small statas here, I'd

489
00:27:54,760 --> 00:27:55,280
Speaker 3: just say.

490
00:27:55,520 --> 00:27:58,040
Speaker 4: Right right, it was earlier, They've got some This was

491
00:27:58,160 --> 00:28:03,560
Speaker 4: in Wellington County, and as of March police were still

492
00:28:03,600 --> 00:28:06,760
Speaker 4: looking for someone could help them crack the case on

493
00:28:06,840 --> 00:28:12,119
Speaker 4: this toothpaste heist. They said that the officers responded to

494
00:28:12,160 --> 00:28:15,480
Speaker 4: a theft call at what they're calling a storage lot,

495
00:28:15,640 --> 00:28:19,840
Speaker 4: So not clear on whether that's like a public storage area.

496
00:28:19,960 --> 00:28:21,760
Speaker 4: That's what I think it is. We have a lot

497
00:28:21,760 --> 00:28:24,800
Speaker 4: of those here in the US, and we all know

498
00:28:24,880 --> 00:28:27,120
Speaker 4: what we mean when we say public storage area, right,

499
00:28:27,160 --> 00:28:30,320
Speaker 4: what are the names of those places you're moving and

500
00:28:30,640 --> 00:28:31,359
Speaker 4: you put them.

501
00:28:31,200 --> 00:28:34,119
Speaker 2: In unit storage unit, storage unit.

502
00:28:34,040 --> 00:28:38,160
Speaker 3: The public storage cube, smart place okay, Yeah, And a

503
00:28:38,200 --> 00:28:40,040
Speaker 3: lot of times when people die and they've been like

504
00:28:40,160 --> 00:28:42,360
Speaker 3: leasing those for a long time, then there those get

505
00:28:42,560 --> 00:28:46,160
Speaker 3: everything in there get auctioned off. That was actually the

506
00:28:46,280 --> 00:28:51,080
Speaker 3: subject of one of those Guyelmo del Toro. Yeah, that's right, yeah, episodes. Yeh,

507
00:28:51,680 --> 00:28:53,400
Speaker 3: Cabinet of Curiosity. Yes, correct.

508
00:28:53,560 --> 00:28:55,960
Speaker 2: There's also a great story in Radio Rental this season

509
00:28:56,000 --> 00:28:56,440
Speaker 2: about that.

510
00:28:56,680 --> 00:29:00,400
Speaker 4: Check it out, that's right, Yeah, made by our goods

511
00:29:00,600 --> 00:29:04,200
Speaker 4: over at Tenderfoot. You know, it's a brain child of

512
00:29:04,480 --> 00:29:07,680
Speaker 4: our buddy Pain Lindsey. So do check it out, and

513
00:29:07,760 --> 00:29:10,239
Speaker 4: maybe Pain could help us out on the case of

514
00:29:10,320 --> 00:29:11,680
Speaker 4: the missing toothpaste.

515
00:29:12,320 --> 00:29:13,720
Speaker 3: All aboard the Pain brain train.

516
00:29:14,600 --> 00:29:19,960
Speaker 4: Yes, police say that a white Volvo semi truck was

517
00:29:20,040 --> 00:29:22,960
Speaker 4: stolen from the lot and it had a fifty three

518
00:29:23,040 --> 00:29:26,200
Speaker 4: foot trailer that was just filled to the brim with toothpaste.

519
00:29:26,200 --> 00:29:28,880
Speaker 3: I would argue coincidence. I would argue it was a

520
00:29:28,920 --> 00:29:31,360
Speaker 3: theft of opportunity. They didn't know what was in it.

521
00:29:31,640 --> 00:29:34,240
Speaker 4: Yeah, they just said, okay, it's a trailer and it

522
00:29:34,400 --> 00:29:38,200
Speaker 4: sounds like it sounds like there's something in there, so

523
00:29:38,640 --> 00:29:39,880
Speaker 4: hopefully it's PS five.

524
00:29:39,960 --> 00:29:42,600
Speaker 3: But for them to have like Ford thought, like prior

525
00:29:42,760 --> 00:29:45,720
Speaker 3: knowledge of the contents that they lined it up, so

526
00:29:45,800 --> 00:29:47,680
Speaker 3: they got like you know what I mean, Like remember

527
00:29:47,680 --> 00:29:50,360
Speaker 3: that one where there was the big jewel heist from

528
00:29:50,400 --> 00:29:53,120
Speaker 3: like it was some sort of trailer like that that was,

529
00:29:53,280 --> 00:29:55,920
Speaker 3: you know, the people went inside a gas arrest area

530
00:29:55,960 --> 00:29:58,600
Speaker 3: to get a snack and have a shower or something,

531
00:29:58,640 --> 00:30:01,040
Speaker 3: and the people were waiting because they knew it was

532
00:30:01,080 --> 00:30:04,640
Speaker 3: coming from this gem show. How do you know that

533
00:30:04,680 --> 00:30:08,000
Speaker 3: the truck you can't see through is full of toothpaste?

534
00:30:09,240 --> 00:30:13,800
Speaker 4: Yeah, you would have to have an indecide toothpaste person,

535
00:30:14,080 --> 00:30:17,200
Speaker 4: or it would be, like you said, a crime of opportunity.

536
00:30:17,600 --> 00:30:19,720
Speaker 4: The way to learn whether it's a crime of opportunity

537
00:30:19,920 --> 00:30:22,880
Speaker 4: is to get a hold of the truck and see

538
00:30:22,880 --> 00:30:25,400
Speaker 4: how it was started. You know it was hot wired.

539
00:30:25,440 --> 00:30:28,360
Speaker 4: Then maybe somebody just happened by, they busted a window

540
00:30:28,400 --> 00:30:28,880
Speaker 4: and so on.

541
00:30:29,200 --> 00:30:31,600
Speaker 3: This still doesn't answer our question as to why toothpaste

542
00:30:31,600 --> 00:30:35,000
Speaker 3: what doesn't seem like a particularly valuable commodity? Why are

543
00:30:35,200 --> 00:30:36,680
Speaker 3: scarce enough commodity?

544
00:30:36,880 --> 00:30:41,320
Speaker 4: Why are there multiple instances of toothpaste. Heyst because the

545
00:30:41,400 --> 00:30:43,960
Speaker 4: very first, the most recent guy was definitely doing it

546
00:30:44,000 --> 00:30:46,400
Speaker 4: on purpose and it had to look kind of weird

547
00:30:46,440 --> 00:30:50,320
Speaker 4: in the store because he had a child's wagon dragging

548
00:30:50,400 --> 00:30:52,320
Speaker 4: behind him, you know, in a place that does have

549
00:30:52,360 --> 00:30:53,120
Speaker 4: shopping carts.

550
00:30:53,560 --> 00:30:56,280
Speaker 3: Look, I know. I think Canadians like the show Trailer

551
00:30:56,320 --> 00:30:59,520
Speaker 3: Park Boys. There's a great episode where they do a

552
00:30:59,680 --> 00:31:02,280
Speaker 3: meat heist. They steal a bunch of meat, they get

553
00:31:02,280 --> 00:31:04,480
Speaker 3: this lead. You know, that shows all about Ricky and

554
00:31:04,920 --> 00:31:06,680
Speaker 3: Julian and their crew, and they are a bunch of

555
00:31:06,720 --> 00:31:10,280
Speaker 3: kind of low life dumb dums that do dumb heist

556
00:31:10,400 --> 00:31:11,920
Speaker 3: Like there's a whole thing I think it's in the

557
00:31:11,960 --> 00:31:15,440
Speaker 3: movie where they're just robbing like parking meters because who's

558
00:31:15,480 --> 00:31:17,920
Speaker 3: gonna get them for that? It's theft under a thousand.

559
00:31:17,920 --> 00:31:19,680
Speaker 3: There's never gonna be more than a thousand dollars in

560
00:31:19,720 --> 00:31:21,840
Speaker 3: a parking meter. So there's a whole episode where they're

561
00:31:22,000 --> 00:31:26,960
Speaker 3: robbing supermarkets of meat. This is the kind of heist

562
00:31:27,080 --> 00:31:30,760
Speaker 3: that Ricky and crew would do, but it usually has

563
00:31:30,800 --> 00:31:33,480
Speaker 3: to be some crime of opportunity with those guys where

564
00:31:33,520 --> 00:31:36,120
Speaker 3: either it's gonna not be a felony because it's under

565
00:31:36,160 --> 00:31:38,400
Speaker 3: a thousand, this is over a thousand, this is a

566
00:31:38,720 --> 00:31:41,840
Speaker 3: two thousand plus. This would definitely be a felony because

567
00:31:41,840 --> 00:31:45,200
Speaker 3: they're always talking about theft under a thousand. That's not

568
00:31:45,240 --> 00:31:47,080
Speaker 3: gonna get them sent to prison if they do theft

569
00:31:47,160 --> 00:31:51,520
Speaker 3: under a thousand. But this screams trailer park boys, Canadian

570
00:31:51,560 --> 00:31:54,840
Speaker 3: conspiracy realists out there. Let us know. Is there something

571
00:31:54,880 --> 00:31:59,720
Speaker 3: we're missing about toothpaste in Canada? Why'd you do it? Yeah?

572
00:32:00,040 --> 00:32:00,400
Speaker 3: Let us know.

573
00:32:00,560 --> 00:32:02,600
Speaker 4: I mean I always try to say this. We take

574
00:32:02,640 --> 00:32:07,360
Speaker 4: pains to respect anonymity when possible. We just feel like

575
00:32:07,400 --> 00:32:11,840
Speaker 4: there's a very interesting story here. And speaking of interest,

576
00:32:11,920 --> 00:32:15,520
Speaker 4: in the interest of full disclosure of folks, we are

577
00:32:15,800 --> 00:32:20,600
Speaker 4: in regular contact with former bank robbers, so like we

578
00:32:21,040 --> 00:32:25,280
Speaker 4: have talked with I am yeah, we have talked to

579
00:32:25,320 --> 00:32:29,200
Speaker 4: folks who have been involved in strange situations. So if

580
00:32:29,240 --> 00:32:31,680
Speaker 4: you were the person who was responsible for some of

581
00:32:31,720 --> 00:32:35,600
Speaker 4: these toruthpaste heist and you have a reason, we want

582
00:32:35,640 --> 00:32:37,959
Speaker 4: to hear it. If you are not the person and

583
00:32:38,000 --> 00:32:41,360
Speaker 4: you have a theory about this that we're missing out on,

584
00:32:41,840 --> 00:32:44,400
Speaker 4: we would love to hear from you. You can call

585
00:32:44,480 --> 00:32:47,840
Speaker 4: us at one eight three three std WYTK. You can

586
00:32:47,880 --> 00:32:50,520
Speaker 4: email us. We read every email we get conspiracy at

587
00:32:50,560 --> 00:32:55,240
Speaker 4: iHeartRadio dot com. And you know, if if you'd rather

588
00:32:55,360 --> 00:32:59,960
Speaker 4: speak with the police, then speak with us. The local

589
00:33:00,240 --> 00:33:02,840
Speaker 4: police want us to tell you that you can call

590
00:33:02,960 --> 00:33:07,280
Speaker 4: crime Stoppers at one eight hundred two two two eight

591
00:33:07,360 --> 00:33:10,600
Speaker 4: four seven seven. That's one eight hundred to two two

592
00:33:11,040 --> 00:33:15,520
Speaker 4: tips to help shed some light on the toothpaste heist.

593
00:33:16,320 --> 00:33:18,600
Speaker 3: Why did they do it? What is the deal?

594
00:33:18,720 --> 00:33:20,880
Speaker 4: Maple syrup? I get it was a lot of maple

595
00:33:20,880 --> 00:33:24,680
Speaker 4: syrup to move parmesan. I get that's a very high profit.

596
00:33:24,440 --> 00:33:27,840
Speaker 3: Margin to the pasta heist in Detroit or not, I'm sorry,

597
00:33:27,920 --> 00:33:31,080
Speaker 3: in New Jersey. Yeah, we talked about that, but that

598
00:33:31,160 --> 00:33:32,640
Speaker 3: was that was one that happened recently.

599
00:33:33,120 --> 00:33:37,560
Speaker 4: Yeah, there was this huge pasta heist. The pasta was

600
00:33:37,640 --> 00:33:43,880
Speaker 4: found thrown out the woods like a dead body pasta

601
00:33:44,000 --> 00:33:46,960
Speaker 4: spoiled pasta. As a matter of fact, you know what, Also,

602
00:33:47,000 --> 00:33:48,840
Speaker 4: we're gonna keep this one short. Before you go to

603
00:33:48,880 --> 00:33:52,520
Speaker 4: an ad break, tell us about the weirdest heist you

604
00:33:52,600 --> 00:33:56,080
Speaker 4: have ever heard of, espec Like, the weirder the better,

605
00:33:56,400 --> 00:33:59,280
Speaker 4: the kind of heist where you have to wonder why

606
00:33:59,320 --> 00:34:02,520
Speaker 4: this person cared enough to steal this thing? Can't wait

607
00:34:02,520 --> 00:34:04,480
Speaker 4: for your thoughts. In the meantime, we're going to take

608
00:34:04,480 --> 00:34:07,560
Speaker 4: a break for a word from our sponsor, and we'll

609
00:34:07,560 --> 00:34:11,080
Speaker 4: be back with one more piece of much more serious,

610
00:34:11,239 --> 00:34:16,560
Speaker 4: strange news.

611
00:34:18,760 --> 00:34:21,280
Speaker 2: And we've returned, guys, and we're gonna get so serious

612
00:34:21,360 --> 00:34:22,600
Speaker 2: right now. Are you ready?

613
00:34:22,719 --> 00:34:23,120
Speaker 3: Serious?

614
00:34:23,560 --> 00:34:25,600
Speaker 2: Okay, I'm just gonna start.

615
00:34:25,239 --> 00:34:27,520
Speaker 3: Wait and not ready, Oh okay, Okay, I'm ready.

616
00:34:27,520 --> 00:34:29,759
Speaker 2: Okay, I'm going to start this way, guys, just kind

617
00:34:29,760 --> 00:34:32,319
Speaker 2: of beginning a story to get to a place and

618
00:34:32,360 --> 00:34:35,919
Speaker 2: then let's talk. Okay, here we go. On Sunday, May

619
00:34:35,960 --> 00:34:39,360
Speaker 2: twenty eighth, a fifty two and a half foot tourist

620
00:34:39,440 --> 00:34:44,200
Speaker 2: boat was carrying over twenty people on Lake Maggiore m

621
00:34:44,280 --> 00:34:49,280
Speaker 2: a g g Iore near Lissanza in the Lombardi region

622
00:34:49,280 --> 00:34:53,800
Speaker 2: of Italy okay So lake in Italy. According to official sources,

623
00:34:53,840 --> 00:34:58,640
Speaker 2: the boat capsized and sank due to a powerful quote whirlwind.

624
00:34:59,200 --> 00:35:02,600
Speaker 2: This is a a very severe and sudden storm similar

625
00:35:02,640 --> 00:35:04,879
Speaker 2: to what we may have heard referred to as a

626
00:35:04,920 --> 00:35:08,840
Speaker 2: water bomb that affected a bunch of the region. Just

627
00:35:08,880 --> 00:35:11,520
Speaker 2: think a whole bunch of water, strong winds, all of

628
00:35:11,520 --> 00:35:15,320
Speaker 2: a sudden. That's the storm that capsized and sank this boat.

629
00:35:16,040 --> 00:35:18,880
Speaker 2: Most of the passengers on the craft were able to

630
00:35:19,120 --> 00:35:21,920
Speaker 2: escape and swim to safety, either to shore or to

631
00:35:22,040 --> 00:35:27,080
Speaker 2: another vessel that came to their aid. Unfortunately, four individuals

632
00:35:27,080 --> 00:35:29,759
Speaker 2: who were riding on this boat or who were in

633
00:35:29,800 --> 00:35:33,000
Speaker 2: this boat lost their lives. And that's why we're talking

634
00:35:33,040 --> 00:35:37,520
Speaker 2: about this story today. Here are the people Anya Boshkhova,

635
00:35:38,000 --> 00:35:40,920
Speaker 2: who is the spouse of the owner of the boat,

636
00:35:41,200 --> 00:35:46,359
Speaker 2: who just so happens to be Russian, Claudio Alonzi who's

637
00:35:46,400 --> 00:35:51,120
Speaker 2: sixty two years old, and Tiziana Barnobi, who's fifty three

638
00:35:51,200 --> 00:35:54,359
Speaker 2: years old. These are two people who were employed by

639
00:35:54,400 --> 00:35:59,680
Speaker 2: the Italian intelligence agencies, right, they worked for Italian intelligence.

640
00:36:00,239 --> 00:36:03,719
Speaker 2: And the fourth person a so far, at least as

641
00:36:03,760 --> 00:36:07,440
Speaker 2: I have seen, an unnamed fifty year old retired member

642
00:36:07,520 --> 00:36:13,520
Speaker 2: of Masade or the Israeli security forces. Okay, guys, that's

643
00:36:13,520 --> 00:36:16,680
Speaker 2: why we're talking about this. Ultimately, it's a story about

644
00:36:16,719 --> 00:36:19,520
Speaker 2: a terrible storm and a ship that sank and some

645
00:36:19,560 --> 00:36:23,439
Speaker 2: people died. But this is a strange group of characters, right,

646
00:36:23,560 --> 00:36:24,600
Speaker 2: don't you think.

647
00:36:24,600 --> 00:36:28,640
Speaker 3: It would seem so? My gosh? Have you guys seen

648
00:36:28,680 --> 00:36:34,439
Speaker 3: the film Triangle of Sadness? Yes, it's excellent and don't

649
00:36:34,440 --> 00:36:36,240
Speaker 3: want to get too off course, but it's a collection

650
00:36:36,320 --> 00:36:38,680
Speaker 3: of very wealthy people on a yacht and things happen.

651
00:36:38,800 --> 00:36:44,080
Speaker 3: But it's a ragtag crew of megawealthy individuals that get

652
00:36:44,080 --> 00:36:46,120
Speaker 3: into hijinks on a yacht.

653
00:36:46,360 --> 00:36:48,719
Speaker 2: Well, it reminds me a bit of White Lotus Season two.

654
00:36:49,560 --> 00:36:51,360
Speaker 2: That's like what I was thinking about immediately.

655
00:36:51,600 --> 00:36:54,480
Speaker 3: Yeah, and this film Triangle of Sadness is basically White

656
00:36:54,520 --> 00:36:55,960
Speaker 3: Lotus Season two on a yacht.

657
00:36:56,160 --> 00:37:02,759
Speaker 4: Okay, two things immediately. First, the boring bureaucratic stuff. The

658
00:37:02,800 --> 00:37:06,640
Speaker 4: stuff that we do have to say is that there is,

659
00:37:06,680 --> 00:37:09,359
Speaker 4: for my understanding, there's no proof that they were on

660
00:37:09,480 --> 00:37:15,120
Speaker 4: some active shenanigans right as there there's nothing publicly out

661
00:37:15,160 --> 00:37:17,480
Speaker 4: about that.

662
00:37:17,680 --> 00:37:19,759
Speaker 2: How would we get proof and who would give that?

663
00:37:19,920 --> 00:37:20,600
Speaker 2: You know what I mean?

664
00:37:22,120 --> 00:37:26,480
Speaker 4: Two other fantastic questions, Matt. And then the second thing,

665
00:37:26,520 --> 00:37:29,160
Speaker 4: which is a little bit more interesting maybe, is for

666
00:37:29,560 --> 00:37:32,520
Speaker 4: anyone who wants to play along at home, I know

667
00:37:32,600 --> 00:37:36,279
Speaker 4: that we always do this. If you pull up this

668
00:37:36,520 --> 00:37:40,319
Speaker 4: lake on your your world spy of choice, Google Earth

669
00:37:40,440 --> 00:37:42,560
Speaker 4: is a great win for this, then you'll see that

670
00:37:42,719 --> 00:37:46,000
Speaker 4: this lake is not only the second largest in Italy,

671
00:37:46,600 --> 00:37:52,000
Speaker 4: but it is a navigable water border with Switzerland, which

672
00:37:52,040 --> 00:37:55,240
Speaker 4: I also find interesting because that's.

673
00:37:56,000 --> 00:37:57,680
Speaker 3: To hide your money, right well.

674
00:37:57,760 --> 00:38:03,960
Speaker 4: Yeah, and also when countries have a water border like that,

675
00:38:04,080 --> 00:38:08,759
Speaker 4: like a lake or a river, things tend to the

676
00:38:09,239 --> 00:38:12,080
Speaker 4: likelihood for Shenanigan is a little is always going to

677
00:38:12,080 --> 00:38:14,360
Speaker 4: be a little bit higher because it's a little bit Yeah,

678
00:38:14,560 --> 00:38:17,600
Speaker 4: it's a little bit easier to slip some cards up

679
00:38:17,640 --> 00:38:21,520
Speaker 4: your sleeve figuratively speaking. But like also, I'm going to

680
00:38:21,600 --> 00:38:24,759
Speaker 4: say it, I think there are certain intelligence agencies where

681
00:38:24,800 --> 00:38:28,279
Speaker 4: you never really retire. And I suspect that. I mean,

682
00:38:28,320 --> 00:38:31,120
Speaker 4: obviously the company here in the in the States, no

683
00:38:31,160 --> 00:38:33,680
Speaker 4: one ever really retires from that, And no one ever

684
00:38:33,719 --> 00:38:37,759
Speaker 4: really retires from Massade. They may they may have a

685
00:38:37,760 --> 00:38:41,160
Speaker 4: different job, they may not be going into that career

686
00:38:41,360 --> 00:38:42,319
Speaker 4: every single day.

687
00:38:42,440 --> 00:38:47,160
Speaker 3: The biology remains, right well, the training too, Yeah, And

688
00:38:46,880 --> 00:38:49,920
Speaker 3: and the fact that if you are in those things

689
00:38:49,960 --> 00:38:52,719
Speaker 3: for the rest of your life, whether or not anybody

690
00:38:52,719 --> 00:38:54,800
Speaker 3: but you knows it, you have.

691
00:38:54,680 --> 00:38:58,279
Speaker 4: To check with someone before you do certain stuff. That's

692
00:38:58,280 --> 00:39:03,399
Speaker 4: why every time a former intelligence agent writes a tell

693
00:39:03,480 --> 00:39:06,840
Speaker 4: all book, if they're still living in the same country,

694
00:39:07,120 --> 00:39:09,080
Speaker 4: then they got the green light to write it. That's

695
00:39:09,080 --> 00:39:10,640
Speaker 4: the only way it happens.

696
00:39:10,480 --> 00:39:13,160
Speaker 2: And then just a couple of things get edited changed,

697
00:39:13,280 --> 00:39:15,319
Speaker 2: you know, just to make sure to protect, you know,

698
00:39:15,640 --> 00:39:22,200
Speaker 2: protect the innocent. Sorry, but.

699
00:39:23,440 --> 00:39:27,319
Speaker 4: I'm seeing that because we know, at least from my

700
00:39:27,400 --> 00:39:30,879
Speaker 4: understanding of some of the articles you shared, Matt, Yes,

701
00:39:31,360 --> 00:39:36,200
Speaker 4: we know that Israel has already naturally been a little

702
00:39:36,200 --> 00:39:39,200
Speaker 4: bit close to the chest about the massad agent.

703
00:39:39,320 --> 00:39:43,080
Speaker 2: Right, yeah, let's jump to AP News. They posted an

704
00:39:43,239 --> 00:39:46,640
Speaker 2: article today. This is the title, Israel's massad says former

705
00:39:46,680 --> 00:39:49,160
Speaker 2: agent was among four people who died when boats sank

706
00:39:49,200 --> 00:39:52,080
Speaker 2: in Italy and if you jump down just a little bit,

707
00:39:52,640 --> 00:39:56,520
Speaker 2: it says this quote. The Israeli Prime Minister's office issued

708
00:39:56,520 --> 00:39:59,280
Speaker 2: a statement on behalf of the massade, saying the unnamed

709
00:39:59,280 --> 00:40:02,440
Speaker 2: agents remain had been returned to Israel for burial. The

710
00:40:02,520 --> 00:40:06,000
Speaker 2: Foreign Ministry had previously confirmed that a retiree from the

711
00:40:06,080 --> 00:40:09,359
Speaker 2: Israeli security forces was killed, but didn't provide a name

712
00:40:09,560 --> 00:40:13,560
Speaker 2: or age, or give details on his professional background. Even

713
00:40:13,840 --> 00:40:16,480
Speaker 2: it goes as far you guys. Prime Minister Benjamin Nett

714
00:40:16,480 --> 00:40:18,959
Speaker 2: and Yahoo's office said that because of the agent's work

715
00:40:19,000 --> 00:40:22,759
Speaker 2: in the agency, further details could not be disclosed, and

716
00:40:22,880 --> 00:40:27,280
Speaker 2: extended condolences to his family, and it continues on here, guys.

717
00:40:27,280 --> 00:40:29,080
Speaker 2: This is the last bit before I get out of

718
00:40:29,120 --> 00:40:33,120
Speaker 2: this article. Italian police released no information on the identities

719
00:40:33,200 --> 00:40:36,560
Speaker 2: or professions of the nineteen survivors, the people who made

720
00:40:36,600 --> 00:40:39,279
Speaker 2: it off the boat, but local news reports said they

721
00:40:39,400 --> 00:40:44,279
Speaker 2: included other members of the Italian and Israeli intelligence services,

722
00:40:44,320 --> 00:40:47,560
Speaker 2: suggesting the outing may have been part of a quote

723
00:40:47,719 --> 00:40:48,759
Speaker 2: work meeting.

724
00:40:49,440 --> 00:40:53,239
Speaker 4: Which they I mean definitely still happened. That's why those

725
00:40:53,280 --> 00:40:55,160
Speaker 4: institutions exist as.

726
00:40:55,000 --> 00:40:57,640
Speaker 3: A team building thing, like a friendly out on the

727
00:40:57,719 --> 00:40:58,399
Speaker 3: lake here, and.

728
00:40:58,320 --> 00:41:00,720
Speaker 2: There was a birthday party. There was a birthday party

729
00:41:00,719 --> 00:41:03,239
Speaker 2: on the confirmed, but we don't know if it was

730
00:41:03,560 --> 00:41:06,880
Speaker 2: had anything to do with any of the intelligence service members.

731
00:41:07,280 --> 00:41:07,520
Speaker 3: I mean.

732
00:41:07,680 --> 00:41:10,920
Speaker 4: Also, even if it's not officially that kind of thing,

733
00:41:11,520 --> 00:41:17,239
Speaker 4: whenever people in the same industry or genre of profession

734
00:41:17,520 --> 00:41:22,760
Speaker 4: hang out, they inevitably, to whatever extent they are allowed,

735
00:41:22,840 --> 00:41:25,760
Speaker 4: they will talk shop. You know, So like this is okay.

736
00:41:25,840 --> 00:41:29,800
Speaker 4: We got to say this though. The excellent Haretz article

737
00:41:29,840 --> 00:41:34,400
Speaker 4: you linked to shows us that a judge was able

738
00:41:34,520 --> 00:41:38,239
Speaker 4: to lay down the law and squeeze a little bit

739
00:41:38,280 --> 00:41:41,960
Speaker 4: more info out of the Israeli government. So this article

740
00:41:41,960 --> 00:41:47,480
Speaker 4: by Yasi Melman describes how a judge in Italy allowed

741
00:41:47,760 --> 00:41:53,480
Speaker 4: the body of this unfortunately deceased retired MASSAD agent to

742
00:41:53,640 --> 00:41:59,160
Speaker 4: be returned to Israel. And it was only after they

743
00:41:59,160 --> 00:42:02,520
Speaker 4: got to their hobby corpus state, after they had the body,

744
00:42:02,840 --> 00:42:08,560
Speaker 4: that Massad allowed the official disclosure of this person's name

745
00:42:08,719 --> 00:42:12,320
Speaker 4: and as Shimoni and eras Shimoni. The name had already

746
00:42:12,360 --> 00:42:15,239
Speaker 4: been reported in the Italian media, and we see this

747
00:42:15,280 --> 00:42:17,000
Speaker 4: all the time in multiple countries.

748
00:42:17,080 --> 00:42:19,640
Speaker 2: Yeah, I haven't actually seen that name. How do you

749
00:42:19,680 --> 00:42:20,520
Speaker 2: spell the first name?

750
00:42:21,320 --> 00:42:26,600
Speaker 4: Er easy, last name Shimoni s h I m ni.

751
00:42:26,840 --> 00:42:27,200
Speaker 2: Got it.

752
00:42:27,239 --> 00:42:28,720
Speaker 3: But here's the trick.

753
00:42:29,360 --> 00:42:33,520
Speaker 4: Everybody knows it's not his real name. Oh well, it's

754
00:42:34,080 --> 00:42:37,040
Speaker 4: sop from ASAD. It's standard operating procedure.

755
00:42:37,640 --> 00:42:38,279
Speaker 3: So that's the.

756
00:42:38,239 --> 00:42:41,520
Speaker 2: Other thing I noticed. Been according to the AP News article,

757
00:42:41,960 --> 00:42:44,920
Speaker 2: all of the because they're in Italy, right, all of

758
00:42:44,960 --> 00:42:49,640
Speaker 2: the Israeli citizens were flown by private plane back to

759
00:42:49,760 --> 00:42:55,080
Speaker 2: Israel to Tel Aviv. Like, what kind of service is that? Nice? Hmm?

760
00:42:55,360 --> 00:42:58,720
Speaker 4: It's not the usual government worker budget for sure.

761
00:42:58,920 --> 00:43:02,560
Speaker 3: That's you know. I don't know too.

762
00:43:02,440 --> 00:43:05,800
Speaker 4: Much about how the sausage is made in the Middle

763
00:43:05,840 --> 00:43:08,560
Speaker 4: East there, but I can say that in the US

764
00:43:09,400 --> 00:43:12,920
Speaker 4: government agents don't usually get flowed up private planes as

765
00:43:12,920 --> 00:43:13,919
Speaker 4: a day to day thing.

766
00:43:14,480 --> 00:43:16,080
Speaker 2: I mean, I know, it was an emergency. It was

767
00:43:16,120 --> 00:43:19,640
Speaker 2: a terrible tragedy. It's an awful situation. I just it

768
00:43:19,800 --> 00:43:22,440
Speaker 2: reads to me like they needed to get them back,

769
00:43:22,880 --> 00:43:25,879
Speaker 2: not to safety, but maybe out of the public eye

770
00:43:26,080 --> 00:43:27,240
Speaker 2: as quickly as they could.

771
00:43:27,560 --> 00:43:30,600
Speaker 3: There's an interesting line in the article talking about how

772
00:43:31,000 --> 00:43:34,360
Speaker 3: folks that did survive, the intelligence personnel that did survive,

773
00:43:34,360 --> 00:43:38,719
Speaker 3: were quick to go to their hotels and collect their belongings. Yeah,

774
00:43:38,760 --> 00:43:41,879
Speaker 3: and equipment is the word that was thrown out there too.

775
00:43:42,040 --> 00:43:45,800
Speaker 3: I just wanted to add there's no weirdness around the

776
00:43:45,920 --> 00:43:48,879
Speaker 3: narrative of that this was in fact caused by inclement weather,

777
00:43:49,200 --> 00:43:51,480
Speaker 3: Like that part we're all accepting or not.

778
00:43:52,000 --> 00:43:54,879
Speaker 2: Well, that's at least according to what I read out

779
00:43:54,880 --> 00:43:57,120
Speaker 2: of is it Ry. I think that's how you say it,

780
00:43:57,239 --> 00:44:02,080
Speaker 2: r Ai. It's a translated Italian article that like that

781
00:44:02,239 --> 00:44:05,240
Speaker 2: is exactly what happened, at least according to the official sources.

782
00:44:05,280 --> 00:44:08,440
Speaker 2: Even I think the what do they call him, the

783
00:44:09,280 --> 00:44:12,120
Speaker 2: person who runs the entire region there in Italy, I

784
00:44:12,120 --> 00:44:16,080
Speaker 2: guess that the president of that region. The official statement

785
00:44:16,160 --> 00:44:18,279
Speaker 2: is yes, it was a storm that capsized the ship.

786
00:44:18,280 --> 00:44:19,920
Speaker 2: It causes to sink, but.

787
00:44:20,040 --> 00:44:23,160
Speaker 4: We weren't on the lake, and I hate to point that.

788
00:44:23,440 --> 00:44:25,799
Speaker 4: I hate to point that out right now, but yeah,

789
00:44:25,800 --> 00:44:30,000
Speaker 4: it also it's so sticky because Okay, the most important

790
00:44:30,000 --> 00:44:33,320
Speaker 4: thing to say here is that these are human beings.

791
00:44:33,680 --> 00:44:37,040
Speaker 4: Their deaths are a tragedy, right, and they've left They've

792
00:44:37,080 --> 00:44:40,840
Speaker 4: doubtlessly left behind loved ones and relatives, and it is

793
00:44:41,120 --> 00:44:43,759
Speaker 4: a horrible, horrible thing for someone's life to end in

794
00:44:43,840 --> 00:44:51,799
Speaker 4: such an abrupt, untimely manner. Also, with that mind and

795
00:44:51,840 --> 00:44:54,239
Speaker 4: as respectfully as we can, I think we're doing a

796
00:44:54,239 --> 00:44:58,000
Speaker 4: pretty solid job pointing out some serious questions about this stuff.

797
00:44:58,040 --> 00:45:02,840
Speaker 4: It is not a secret that the nation of Italy

798
00:45:03,280 --> 00:45:09,400
Speaker 4: has long been a crossroads of some spooky stuff. And

799
00:45:09,440 --> 00:45:13,080
Speaker 4: I am engaging a wordplay there. I mean, think about propaganda.

800
00:45:13,239 --> 00:45:17,280
Speaker 4: Do think about all this stuff the Italian intelligence outfits

801
00:45:17,320 --> 00:45:20,600
Speaker 4: have done. I'm not trying to sound anti papist, but

802
00:45:20,680 --> 00:45:23,319
Speaker 4: think about the stuff the Catholic Church got up to

803
00:45:23,480 --> 00:45:24,279
Speaker 4: and gets up to.

804
00:45:24,520 --> 00:45:26,400
Speaker 3: There's a vibe. There's a vibe.

805
00:45:26,400 --> 00:45:28,680
Speaker 4: Okay, yeah, there we go. So I hope that doesn't

806
00:45:28,680 --> 00:45:33,560
Speaker 4: sound too judgmental. I'm just saying there's a.

807
00:45:33,640 --> 00:45:37,200
Speaker 2: Vibe it is. It is pretty darn weird. And you

808
00:45:37,200 --> 00:45:40,400
Speaker 2: know the fact that the spouse of the guy that

809
00:45:40,560 --> 00:45:45,080
Speaker 2: owned the boat, Claudio Carmenatti, this fifty three year old

810
00:45:45,160 --> 00:45:48,040
Speaker 2: dude from Vares. I guess is how you say that

811
00:45:48,200 --> 00:45:51,080
Speaker 2: v A. R. E. S E. The fact that his

812
00:45:51,120 --> 00:45:53,920
Speaker 2: wife is one of the people that dies a little weird. Officially, again,

813
00:45:53,960 --> 00:45:56,120
Speaker 2: according to the story, they're out of Rye. She went

814
00:45:56,719 --> 00:45:59,719
Speaker 2: inside the boat right like down what do you call that?

815
00:46:00,200 --> 00:46:03,480
Speaker 2: Going below decks? Yeah, she went below deck because the

816
00:46:03,520 --> 00:46:06,480
Speaker 2: storm became so intense so quickly, and she was nervous

817
00:46:06,480 --> 00:46:09,520
Speaker 2: about it, and then as it capsized and saying it's

818
00:46:09,560 --> 00:46:10,759
Speaker 2: not good to be inside.

819
00:46:10,600 --> 00:46:14,320
Speaker 3: I guess my question is the speculation or the conspiracy theories?

820
00:46:15,080 --> 00:46:19,960
Speaker 3: I guess theories plural, probably that there was some sort

821
00:46:20,000 --> 00:46:23,719
Speaker 3: of clandestine meeting taking place, or that the sinking itself

822
00:46:24,440 --> 00:46:25,720
Speaker 3: was the intent.

823
00:46:26,480 --> 00:46:29,799
Speaker 2: I think it runs the gamut, right when something like

824
00:46:29,840 --> 00:46:32,880
Speaker 2: this happens and all we know is the official story

825
00:46:32,920 --> 00:46:37,520
Speaker 2: about some tragedy, but you know, some intelligence service members

826
00:46:37,600 --> 00:46:41,080
Speaker 2: died from wherever. It just makes me I mean, I'm

827
00:46:41,120 --> 00:46:44,120
Speaker 2: just going to speak personally, It makes me wonder you know,

828
00:46:44,200 --> 00:46:46,160
Speaker 2: how did it happen, Why did it happen? What were

829
00:46:46,160 --> 00:46:47,720
Speaker 2: they doing? Like all of those things.

830
00:46:48,040 --> 00:46:51,400
Speaker 4: Yeah, I'm also thinking to the point about the just

831
00:46:51,480 --> 00:46:54,400
Speaker 4: the collegiate nature of people who have been in the

832
00:46:54,440 --> 00:46:58,680
Speaker 4: same business for a long time. I'm also thinking that

833
00:46:59,400 --> 00:47:02,240
Speaker 4: if it really is only a social function a birthday

834
00:47:02,320 --> 00:47:04,680
Speaker 4: for someone who's been in the game for a while,

835
00:47:05,200 --> 00:47:09,359
Speaker 4: then they probably have previous work adventures with each other,

836
00:47:09,520 --> 00:47:11,440
Speaker 4: you know what I mean, You probably have war stories

837
00:47:11,480 --> 00:47:14,760
Speaker 4: to share. And a little bit more about the plane here,

838
00:47:15,160 --> 00:47:19,640
Speaker 4: it seems that the plane that was taking them out,

839
00:47:19,760 --> 00:47:22,560
Speaker 4: the executive jet that brought them back to is route,

840
00:47:23,360 --> 00:47:26,960
Speaker 4: is a known thing. It is a known aircraft that

841
00:47:27,000 --> 00:47:30,759
Speaker 4: the government of that country uses for quote official but

842
00:47:30,920 --> 00:47:35,719
Speaker 4: secret missions. It's been flow, It's been spotted flying to

843
00:47:35,840 --> 00:47:40,200
Speaker 4: and from Khartoum, the capital of Sudan, as well as

844
00:47:40,280 --> 00:47:44,600
Speaker 4: Cutter like, these people are clearly connected. And no matter

845
00:47:44,760 --> 00:47:48,359
Speaker 4: what happened at the lake, the folks back home at

846
00:47:48,400 --> 00:47:51,000
Speaker 4: the top, the folks who have like the red phones,

847
00:47:51,920 --> 00:47:55,680
Speaker 4: they said, we don't need these, we don't need our

848
00:47:55,719 --> 00:47:57,719
Speaker 4: pals going through regular customs.

849
00:47:58,000 --> 00:47:59,520
Speaker 3: That's exactly what happened.

850
00:48:00,040 --> 00:48:03,520
Speaker 4: Don't need someone to go Hey, is your name really,

851
00:48:03,640 --> 00:48:10,120
Speaker 4: Johnny blue jeans. Yes, and you're from Kansas.

852
00:48:11,360 --> 00:48:12,120
Speaker 2: Definitely.

853
00:48:14,760 --> 00:48:23,919
Speaker 3: Name name a name a city in Kansas, corn Kansas City. Win.

854
00:48:24,520 --> 00:48:25,640
Speaker 3: You're lucked into that one.

855
00:48:25,680 --> 00:48:25,839
Speaker 2: Win.

856
00:48:27,480 --> 00:48:28,920
Speaker 3: Yeah, but no, I mean.

857
00:48:28,840 --> 00:48:31,200
Speaker 4: Like that's that's clear. Those are some of the most

858
00:48:31,440 --> 00:48:32,240
Speaker 4: pertinent things.

859
00:48:32,280 --> 00:48:34,399
Speaker 3: But I can't think of a city in Kansas. Yeah,

860
00:48:34,440 --> 00:48:37,560
Speaker 3: am I bad person? Kansas City? Bro? Okay, I just

861
00:48:37,600 --> 00:48:38,160
Speaker 3: said it.

862
00:48:40,640 --> 00:48:42,439
Speaker 2: But yeah, I guys, I don't have much else from

863
00:48:42,440 --> 00:48:45,560
Speaker 2: the story. I guess it's just one of those It

864
00:48:45,719 --> 00:48:48,359
Speaker 2: was interest, Yeah, right, it was of interest. Hopefully it

865
00:48:48,400 --> 00:48:49,640
Speaker 2: was of your interest as well.

866
00:48:49,840 --> 00:48:52,319
Speaker 3: Now it seems like the kind of seed that's going

867
00:48:52,360 --> 00:48:55,960
Speaker 3: to lead to some further revelations down the line. But

868
00:48:56,080 --> 00:48:58,600
Speaker 3: it's good that we're keyting on it now. So thanks

869
00:48:58,600 --> 00:48:59,680
Speaker 3: for that, man, Thank.

870
00:48:59,600 --> 00:49:02,799
Speaker 2: You really like that seed that will lead line. Then

871
00:49:02,840 --> 00:49:03,759
Speaker 2: we got to use that later.

872
00:49:03,800 --> 00:49:06,560
Speaker 3: I'm in a lot this episode, and we want you

873
00:49:06,800 --> 00:49:09,200
Speaker 3: to be part of that growth. If you can.

874
00:49:09,360 --> 00:49:13,600
Speaker 4: Folks, please, to the extent that you are comfortable and

875
00:49:13,840 --> 00:49:17,520
Speaker 4: or allowed to give us your opinion on this tragedy

876
00:49:18,800 --> 00:49:21,840
Speaker 4: that lake in Italy. Please let us know what you

877
00:49:21,960 --> 00:49:25,879
Speaker 4: think about us doing a debt collecting episode. Please let

878
00:49:25,960 --> 00:49:28,120
Speaker 4: us know what you think about the idea of automation

879
00:49:28,680 --> 00:49:32,080
Speaker 4: for jobs like this specifically or jobs in general. And

880
00:49:32,120 --> 00:49:35,279
Speaker 4: would you let a tech entrepreneur put an implant in

881
00:49:35,320 --> 00:49:38,319
Speaker 4: your brain if you knew there might be consequences down

882
00:49:38,320 --> 00:49:41,440
Speaker 4: the line, Perhaps most importantly, and I know you're listening,

883
00:49:41,960 --> 00:49:43,239
Speaker 4: why'd you take the toothpaste?

884
00:49:43,239 --> 00:49:46,640
Speaker 3: Man? Let us know. We're all over the internet, Oh boy,

885
00:49:46,640 --> 00:49:48,640
Speaker 3: are we ever? You can find us a conspiracy stuff

886
00:49:48,680 --> 00:49:53,279
Speaker 3: on YouTube, Twitter, and Facebook, conspiracy Stuff show on Instagram

887
00:49:53,360 --> 00:49:54,120
Speaker 3: and TikTok.

888
00:49:54,440 --> 00:49:56,759
Speaker 2: If you want to use your voice to call us,

889
00:49:57,320 --> 00:49:59,560
Speaker 2: you can leave a voicemail. Our number is one eight

890
00:49:59,719 --> 00:50:04,640
Speaker 2: three st d WYTK. When you call in, give yourself

891
00:50:04,680 --> 00:50:07,480
Speaker 2: a cool nickname. You've got three minutes say whatever you'd like.

892
00:50:07,680 --> 00:50:10,640
Speaker 2: Just do include whether we can use your message and

893
00:50:10,800 --> 00:50:13,239
Speaker 2: name on the air. If you've got more to say

894
00:50:13,320 --> 00:50:15,280
Speaker 2: than can fit in that three minutes, why not instead

895
00:50:15,320 --> 00:50:16,840
Speaker 2: send us a good old fashioned email.

896
00:50:17,120 --> 00:50:38,759
Speaker 4: We are conspiracy at iHeartRadio dot com.

897
00:50:38,960 --> 00:50:41,000
Speaker 2: Stuff they Don't want you to know is a production

898
00:50:41,120 --> 00:50:45,640
Speaker 2: of iHeartRadio. For more podcasts from iHeartRadio, visit the iHeartRadio app,

899
00:50:45,719 --> 00:50:48,959
Speaker 2: Apple Podcasts, or wherever you listen to your favorite shows.