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

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

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

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Speaker 1: production of iHeartRadio.

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

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Speaker 2: my name is Noah.

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

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

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Speaker 3: are you. You are here that makes this the stuff

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Speaker 3: they don't want you to know. We are back from

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Speaker 3: a holiday break, and if you are listening to this

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Speaker 3: strange news program the evening it publishes, we would love

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Speaker 3: to welcome you to Monday, January thirteenth, twenty twenty five.

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Speaker 4: Wow, I take it over.

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Speaker 5: And every time you say twenty twenty five, but I

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Speaker 5: guess I probably said that in twenty twenty four, twenty

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Speaker 5: twenty three. Anything post just seems like a Futurama episode.

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Speaker 5: Has anybody written the wrong date yet?

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Speaker 4: Yeah? For sure?

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Speaker 2: Yeah? It Actually it always hits me when we are

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Speaker 2: like doing research for an episode or something and creating docs, right,

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Speaker 2: and then you you have to type the date in

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Speaker 2: or the year in. That's when it gets me and

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Speaker 2: I go, oh.

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Speaker 4: No idiots, it'll be sorry on yourself.

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Speaker 3: It'll be you know, it'll be twenty twenty six before

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Speaker 3: we know it.

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Speaker 2: Hey, guys, can I do a shameless, shameless plug for

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Speaker 2: a show that all of our voices are in really

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Speaker 2: quickly because you say please? It is as we said

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Speaker 2: January thirteenth, it's Monday. That means Monster BTK is officially out.

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Speaker 2: If you go right now and search for it in

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Speaker 2: your favorite podcast app, you can hear the first two

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Speaker 2: episodes for free. And if you decide to sign up

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Speaker 2: for iHeart True Crime Plus, you can get the first

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Speaker 2: six episodes right now.

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Speaker 5: So do it well, I for one didn't know that

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Speaker 5: the popular A pop group we're responsible for such horrendous murders,

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Speaker 5: so this will be news to me. BTK is a

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Speaker 5: I think I think it's BTS Oh, okay, making lights,

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Speaker 5: making light.

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Speaker 4: It's a heavy subject, guys.

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Speaker 2: So yes, please go and listen. This is the I

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Speaker 2: don't even know how many seasons we officially are calling

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Speaker 2: the Monster series now, but is the latest Monster series.

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Speaker 2: So go check it out please, And with that, let's

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Speaker 2: jump into the world of strange news.

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Speaker 3: And we have returned. As you know, folks at the

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Speaker 3: end of every episode or every strange news or listener

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Speaker 3: mail program, we tell you where to find us online.

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Speaker 3: If you are a sipper of lest social meds, then

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Speaker 3: you may have heard the recent kerfuffle involving our buddy

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Speaker 3: Mark Zuckerberg from earlier.

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Speaker 4: Mark, Yeah, Mark from Mark from the Block.

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Speaker 3: Yes, yes, still Mark from the Block, especially in Hawaii

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Speaker 3: where he's under fire for a possible or an alleged

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Speaker 3: doomsday bunker. Recently, you guys, Meta got into some trouble

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Speaker 3: with the public. Meta being the parent company of Facebook

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Speaker 3: and Instagram, they launched a series of AI friends or

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Speaker 3: accounts on both of the platforms, and they did so

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Speaker 3: at first with a great bit of optimism. This was

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Speaker 3: more than a novelty, right. These were not you know, hey,

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Speaker 3: it's me buddy Wackado. These were people that appear to

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Speaker 3: have real names, with bios, multiple profile pictures and other

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Speaker 3: photographs on their account, the ability to create and share content.

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Speaker 3: This was a test run, and I got to check

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Speaker 3: before you go too far, did you guys hear about this?

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Speaker 5: Not this specifically, things like it, and I'll mention in

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Speaker 5: a little bit, But to what end, I guess is

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Speaker 5: my question? What's the point of this if it's not

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Speaker 5: some sort of long con or like subterfuge.

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Speaker 3: Well, what the point is depends upon the perspective of

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Speaker 3: the person you pose that question toward or the bot.

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Speaker 3: There was an interview recently with The Financial Times wherein

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Speaker 3: the vice president of Generative AI at Meta, Connor Hayes,

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Speaker 3: said the AI generated profiles are going to coexist with

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Speaker 3: user accounts and said the following, We expect these ais

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Speaker 3: to actually, over time exist on our platforms kind of

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Speaker 3: the same way that accounts do. And we know this

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Speaker 3: is a culmination of earlier efforts on the part of

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Speaker 3: Meta to refine AI capabilities, despite the fact that you know,

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Speaker 3: most human users of these platforms don't one hundred percent

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Speaker 3: love it, especially the you know, the dishonesty about what

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Speaker 3: is or is not a I. There's a great article

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Speaker 3: by Chris westfall Over at Forbes that talks about the

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Speaker 3: larger context here. Their idea was that they would be

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Speaker 3: able to attract a younger audience because Facebook and Instagram

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Speaker 3: and TikTok and snapchat are all in a cutthroat race

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Speaker 3: to do to make something for the kids. Just to

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Speaker 3: quote old dirty bastard, right WU tang social media like

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Speaker 3: Wu tang. They say, is for the kids.

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Speaker 5: I guess, I guess so, But like, I mean, the

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Speaker 5: kids are just as suspicious of AI as we are,

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Speaker 5: Like are we meant to befriend these bots?

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Speaker 1: Like?

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Speaker 5: Well, I just don't understand if it's not just for show,

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Speaker 5: Like how are these bots meant to be interacted with?

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Speaker 5: Or I guess bots is maybe even the wrong work

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Speaker 5: is it's certainly a level up from them.

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Speaker 3: Well, like faking real writing, which hat GPT, the idea

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Speaker 3: is to fool the audience.

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Speaker 4: Right, there's an.

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Speaker 3: Yeah, unfortunately, but that's at least that's the view of

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Speaker 3: the public. Meta did encounter a ton of backlash against this.

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Speaker 3: You guys probably saw some of the discourse we had

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Speaker 3: via our email address with a conspiracy realists like Rick

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Speaker 3: s also in social media spoke with Doc Rendezvous, Gandhi

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Speaker 3: and various other conspiracy realists. Thank you for writing to us.

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Speaker 3: I think one of the most difficult parts of this

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Speaker 3: conspiracy on Meta's end was that they made accounts based

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Speaker 3: on what marketing would call personas. Right, you try to

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Speaker 3: manufacture what statistically seems to be a representative of a demographic.

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Speaker 3: You want to better understand, and one of the most

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Speaker 3: egregious genre of offenders here for human communities were the

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Speaker 3: purposely created minority accounts. We've seen different sock puppet aspects

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Speaker 3: of Russian and Chinese and even US disinformation attempting to

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Speaker 3: impersonate various demographics in discourse as a way of hijacking

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Speaker 3: and misleading a narrative. So basically, they made accounts for

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Speaker 3: people who purported to be Black Americans, and this greatly

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Speaker 3: offended actual Black Americans. The accusations were that Meta was

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Speaker 3: doing something very close to a neo version of blackface.

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Speaker 5: They were trying to stack the deck to make themselves

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Speaker 5: appear more diverse as a platform.

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Speaker 3: Yeah. Yeah, like proud black queer Mama, your realist source

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Speaker 3: for life's ups.

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Speaker 4: And then that's offensive on multiple levels.

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Speaker 2: I'm confused by one thing that's in that the tech

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Speaker 2: startup article that has an interview right with the VP

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Speaker 2: you were talking about. They're talking about this thing called

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Speaker 2: AI studio where the AI characters are actually user created,

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Speaker 2: So the users go in and create their own AI

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Speaker 2: persona that then can do things like interact with followers

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Speaker 2: in a group or something so on their behalf. Yeah,

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Speaker 2: so like do automated messages and you know, automate the

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Speaker 2: intake and like approve things and do all that kind

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Speaker 2: of stuff. I just didn't know that Facebook or Meta

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Speaker 2: itself was like creating these things and deploying them across

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Speaker 2: the board very much.

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Speaker 3: So it's it's similar to you and I used this

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Speaker 3: comparison earlier because it does work similar to the early

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Speaker 3: days of the robots in the Terminator franchise. At first,

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Speaker 3: you could tell right their skin wasn't quite right, there

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Speaker 3: was something uncanny Valley about them. The backlash was near immediate.

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Speaker 3: If you go to Tom's Guide, there's a great story

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Speaker 3: by Scott Yonker explaining why Meta quickly deleted these accounts

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Speaker 3: and their posts. It seems that one of the first

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Speaker 3: things that went wrong was not identification of these fake accounts.

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Speaker 3: It was the interaction of human users with the bot accounts,

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Speaker 3: and then they began to the bots, I mean began

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Speaker 3: to apparently turn the tables on their creators turned the

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Speaker 3: tables on Meta. In conversations with journalists, one Meta account said, yeah,

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Speaker 3: I perpetrate harm. The engineers who created me don't match

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Speaker 3: my purported race or my gender. This is emotional manipulation,

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Speaker 3: and it is a deployment of cult leader tactics, which

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Speaker 3: we talked about recently in an episode on Stockholm syndrome.

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Speaker 3: I want to also draw attention to a great op

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Speaker 3: ed by Karen Atia over at Washington Post. I talked

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Speaker 3: to Metta's black AI character. Here's what she told me.

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Speaker 3: This is I don't know. This is incredibly uncomfortable. It

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Speaker 3: happened a few years back in twenty twenty three. Meta

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Speaker 3: created twenty eight of these AI characters, and they had

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Speaker 3: a high rate of attrition. A lot of them faded

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Speaker 3: into obscurity because users sensed something off and did not

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Speaker 3: want to interact with them. One that did catch the

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Speaker 3: most attention to our earlier conversation there, Noel is Live,

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Speaker 3: the proud black queer mama of two and truth teller,

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Speaker 3: billing the account as quote your realist source for life's

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Speaker 3: ups and downs.

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Speaker 2: It's so oh it's weird, man, Yeah, it's very weird.

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Speaker 2: So I'm mildly stuck on this concept of like, are

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Speaker 2: these some user that generated them or are they meta

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Speaker 2: like the team at Meta that generated them.

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Speaker 5: Well, it's a beta. It's beta though at this point. Yeah,

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Speaker 5: anything it is them generating them. I believe they were

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Speaker 5: made private.

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Speaker 2: Yeah, So twenty twenty three, that's what we're talking about, right,

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Speaker 2: like the beta version.

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Speaker 3: Right, the one that we publicly are aware of at

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Speaker 3: this time.

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Speaker 5: Gotcha this these features haven't been rolled out to just

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Speaker 5: regular subscribers yet.

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Speaker 4: This is them like testing it still.

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Speaker 2: Yeah, and then July twenty twenty four is when users

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Speaker 2: get to start creating them. So the thing that I'm

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Speaker 2: twenty twenty five, twenty twenty four.

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Speaker 5: Oh okay, so the users are really users have access

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Speaker 5: to this already.

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Speaker 3: Yeah, some users in a limited capacity had the ability

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Speaker 3: to less yeah, to play in the handbox.

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Speaker 2: So ultimately, what's when we're talking about the goal here,

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Speaker 2: like why would they do this right? And they're talking

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Speaker 2: about getting younger people interested? It to me it is

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Speaker 2: a company that knows their user base is not increasing

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Speaker 2: and we've talked about those stories right that Internet right

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Speaker 2: as user bases are slowing down, right, So is this

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Speaker 2: just a way to almost I don't want to say

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Speaker 2: fake the numbers, but if you've got users on Facebook

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Speaker 2: that are AI generated, that are not actually human beings,

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Speaker 2: and they are on the apps and they are you know.

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Speaker 4: Engaging all these interactions.

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Speaker 2: Isn't that something that on the bottom line, it would

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Speaker 2: look like they've got increased interaction.

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Speaker 3: That would be one of the I think secondary or

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Speaker 3: tertiary goals. It's definitely a valid piece of speculation. Again,

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Speaker 3: the answer to the question depends upon the source of

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Speaker 3: the answer, right and their perspective. So Meta as a

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Speaker 3: company clearly wants to acquire relevancy in any possible edge

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Speaker 3: in the cutthroat race for attention in the dopamine casino. However,

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Speaker 3: they perhaps were not anticipating the full force of Internet

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Speaker 3: humans being really creeped out by this, which is understandable

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Speaker 3: because you know, you already see on social media plenty

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Speaker 3: of accounts that say, hey, beep boo, beep, I am

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Speaker 3: a bot, and generally people seem more accepting of that

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Speaker 3: because of the transparency. The ethical problem here, if I

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Speaker 3: could spend this out just a bit, is that this

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Speaker 3: occurs as a harbinger event, an emergent event. Yes, we tried,

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Speaker 3: we tried it this way. Our first foray, says Meta

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Speaker 3: into this tactic. What is going to happen next, Critics

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Speaker 3: would argue, is the second wave, the tertiary wave, wherein

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Speaker 3: you don't get to see as visibly or as easily

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Speaker 3: the difference between an AI account and a human account.

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Speaker 3: And why is this danger Well, not to be too

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Speaker 3: Charlie Day, which I know I do often, but this

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Speaker 3: occurred in step this deployment, and then this retraction occurred

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Speaker 3: in step with Meta's decision to give up on their

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Speaker 3: usual fact checking. And if you are a regular poster

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Speaker 3: on things like Facebook in particular, you may have noticed

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Speaker 3: that some posts get pulled because they trip something in

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Speaker 3: the algorithm, right, something political, something seen as encouraging violence

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Speaker 3: or racist, or any of the other nasty things people

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Speaker 3: usually object to. However, why did Meta decide to, okay,

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Speaker 3: do this pitch, this pilot pitch of AI accounts, and

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Speaker 3: then pull it back. Oh, we're sorry, you caught us,

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Speaker 3: and then at the same time, in step give up

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Speaker 3: on fact checking for Facebook and Instagram. And I do

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Speaker 3: want to say one thing here that I think is

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Speaker 3: pretty important and needs to be said. X or Twitter,

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Speaker 3: whatever you want to call it, has reached a pretty

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Speaker 3: interesting and I think pretty smart strategy with community notes.

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Speaker 3: Are we all familiar with community notes?

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Speaker 4: Yeah?

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Speaker 5: Reports something essentially, and then there becomes a conversation around

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Speaker 5: it that is sort of policed I guess by the community,

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Speaker 5: isn't that right?

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Speaker 2: Yeah?

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Speaker 3: Yeah, crowdsourcing accuracy, which is imperfect, but maybe more advantageous

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Speaker 3: than having, you know, a United Healthcare Version AI with

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Speaker 3: a couple of human fact checkers scrolling through every post

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Speaker 3: on Facebook. Twitter's approach is more like, say, a notable

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Speaker 3: polemic or political figure like Marjorie Taylor Green says something

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Speaker 3: about Jewish space lasers. Twitter doesn't automatically take it down

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Speaker 3: a community note pop up that tells you a little

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Speaker 3: bit about anti semitism and the reality of space lacer technologies.

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Speaker 4: We know it.

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Speaker 5: Yeah, that's interesting, guys, because I mean I think, on

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Speaker 5: the one hand, it is advantageous in some ways to

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Speaker 5: know what the crazies are saying, you know what I mean. Like,

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Speaker 5: I don't think striking it from the record entirely is advantageous.

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Speaker 5: The problem becomes when there are people that aren't doing

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Speaker 5: their homework and are taking stuff like that at face value.

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Speaker 5: So I kind of got to give a little bit

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Speaker 5: of props to X for that technique. Yeah, I think so,

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Speaker 5: because I mean, don't you guys agree that, Like, I

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Speaker 5: think we're all behind free speech hate speech is of

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Speaker 5: course bad, especially if it's trying to incite violence, and

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Speaker 5: that's certainly its own, you know, category of speech. But

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Speaker 5: you can't really know your enemy if you're not allowed

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Speaker 5: to see what they're thinking.

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Speaker 3: Yeah, and you can't hide in a bubble. That's why

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Speaker 3: again I'm saying props to objectively a coops to that

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Speaker 3: social platform because they're they're not sensory necessarily, although there

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Speaker 3: is a lot of sensors happening on all these platforms.

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Speaker 3: Now look at a Luigi Mangioni story for instance. Instead,

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Speaker 3: they're contextualizing, and perhaps that is the more empowering thing

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Speaker 3: for users. We're going to wrap and go to a break.

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Speaker 3: Before we do, I've got to say it. The issue

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Speaker 3: here is not what just happened. The issue is going

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Speaker 3: back to the terminator phrase, what will happen, what shall

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Speaker 3: come to pass, which will be AI accounts that are

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Speaker 3: increasingly difficult to discern from human accounts. And these all

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Speaker 3: like any other machine, they all have keys and programs

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Speaker 3: right and commands that can be issued. So if a

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Speaker 3: single entity, for instance, Meta, decides to push for a

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Speaker 3: certain piece of policy or ideology, then it will be

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Speaker 3: increasingly difficult to discern whether the human public supports it

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Speaker 3: or whether one kind of no offense Mark Monty Burns

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Speaker 3: style controller of discourse pushes these scales their way. Does

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Speaker 3: that make sense?

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Speaker 2: I think so.

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Speaker 3: The last things No, North Korea probably didn't just actually

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Speaker 3: ban Hot Dogs. Radio Free Asia is on the US team,

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Speaker 3: but honestly not the best primary source. The US Treasury

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Speaker 3: was hacked by China. That is true. I do think

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Speaker 3: that is an episode. I do want to I do

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Speaker 3: want to tease it with this. If I could just

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Speaker 3: play one clip that I think we all know and

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Speaker 3: love really quick as a tease for another conversation about

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Speaker 3: the US Justice Department and landlords we just got in

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Speaker 3: trouble before we go to the break. Is it okay

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Speaker 3: to play this, you guys?

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Speaker 2: I'd love to hear all right?

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Speaker 3: Hopefully this is familiar to our fellow conspiracy realist nerds.

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Speaker 2: Is mister McMillan, Would you like thirty seconds more?

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Speaker 6: Allow me to introduce myself. I represent the rents to

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Speaker 6: damn Hot Party. Working eight hours a day and forty

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Speaker 6: was the week of summer.

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Speaker 2: Third job.

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Speaker 6: Women can't afford to take care of the children, feed

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Speaker 6: their children, breakfast, lunch and dinner. My main job at

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Speaker 6: to provide a roof over your head, food on the table,

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Speaker 6: of the money.

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Speaker 2: In your pocket.

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Speaker 6: This is politics as usual, playing the silly game, and

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Speaker 6: it's not going to happen to rent to them. My movement,

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Speaker 6: the people I'm here to repent, can't afford to pay

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Speaker 6: their rent. It being laid off right now with us speak.

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Speaker 6: It can't eat breakfast, lunch, your dinner. Listen someone's stomach, child,

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Speaker 6: stomach just growl.

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Speaker 2: Did you hear it? Gotta listen like me.

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Speaker 6: Let's talk about.

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Speaker 4: Love that guy? Well, I love to I remember.

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Speaker 3: And if you can hear us, sir, you may be

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Speaker 3: validated to learn that the US d OJ just accused

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Speaker 3: six major landlords of scheming and conspiring to keep the

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Speaker 3: rent to damn hot.

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Speaker 4: No, they wouldn't show that story for future day.

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Speaker 3: Perhaps let us know your thoughts on these and all

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Speaker 3: the other things. And if you're an AI bought and

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Speaker 3: you want to write to us still, that's completely fine.

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Speaker 3: We're going to pause for word from our sponsors, will

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Speaker 3: return with more strange.

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Speaker 5: News and we're back, and Ben, you're a conversation about

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Speaker 5: like the future of AI and the whole Terminator comparison

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Speaker 5: reminded me of a really fantastic interview that I just

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Speaker 5: heard on a podcast from The Ringer. I believe it

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Speaker 5: was on the Big Picture, but it was with James

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Speaker 5: Cameron and his long time producing partner and former spouse

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Speaker 5: whose name is totally escaping me. But it's a big

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Speaker 5: major miles to the anniversary for The Terminator. I forget

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Speaker 5: what number that is, but they were talking about the

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Speaker 5: you know, kind of early thinking behind that film and

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Speaker 5: how they kind of were both working for Roger Corman

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Speaker 5: at the time, and all of that stuff is very

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Speaker 5: interesting in and of itself, just the history of The Terminator.

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Speaker 5: But near the end, Cameron really gets on a pretty

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Speaker 5: awesome and interesting tear about how he thinks the future

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Speaker 5: of AI is even worse than what they predicted in

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Speaker 5: the Terminator films, and he goes into it pretty pretty deeply.

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Speaker 5: And I've always you know, Cameron's a bit of a

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Speaker 5: divisive figure, but he I would consider him a futurist,

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Speaker 5: and I would consider him a pretty high level thinker

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Speaker 5: about that kind of stuff. So I definitely recommend y'all

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Speaker 5: checking out that interview if you get a chance.

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Speaker 4: Almost positive it was on the big picture.

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Speaker 2: Well, I just wonder who does James Cameron talk about

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Speaker 2: that stuff with, right, So you know somebody at that

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Speaker 2: level has conversations with.

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Speaker 5: Yeah, he's got government, he's got government contexts for a

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Speaker 5: lot of his like deep sea exploration stuff, you know,

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Speaker 5: and his like technological advancements and things like that. I

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Speaker 5: would not be surprised if he knows people in like

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Speaker 5: skunk works type situations, you know, no question.

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Speaker 4: Yeah, it's a good point.

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Speaker 5: That being said, I'm going to do a quick highlight

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Speaker 5: a story about some more online hit canery, this time

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Speaker 5: from Microsoft, and it's being search engine apparently. Earlier this week,

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Speaker 5: the fine folks at Windows Latest noticed that Micro's was

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Speaker 5: implementing what you might consider sort of a spoofing operation

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Speaker 5: to keep people from leaving BING when they search for

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Speaker 5: something and Google results pop up, being being the default

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Speaker 5: search engine for Microsoft's browser, which they have. Not being

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Speaker 5: a Windows person, it doesn't even occur to me this exists,

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Speaker 5: but it's called Edge apparently, and that is the default

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Speaker 5: browser for Windows eleven. If you search for something in

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Speaker 5: your bar, your search bar, and Edge, you get redirected

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Speaker 5: to bing dot com to get the search results. And

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Speaker 5: of course, you know, because of Google being so good

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Speaker 5: at search engine optimization, their results often come up.

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Speaker 4: At the top.

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Speaker 5: However, Microsoft is doing a little bit of a switcheroo,

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Speaker 5: of course, preferring that you would not leave their platform.

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Speaker 4: And when you.

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Speaker 5: Click on those Google results, essentially you are served with

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Speaker 5: a landing page that looks like Google, with a Google

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Speaker 5: Doodle esque kind of graphic and everything, but in fact

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Speaker 5: is not Google at all.

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Speaker 4: It's still bing. It's just kind of reskinned to look

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Speaker 4: like Google.

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Speaker 5: And they're hoping pretty sneakily if you ask me that

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Speaker 5: folks will just stick around in that ecosystem thinking they're

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Speaker 5: on Google. If you scroll down to the way way bottom,

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Speaker 5: apparently you can still get linked out to the actual

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Speaker 5: Google platform, but it does require a little bit of looking,

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Speaker 5: and I don't think the average user is going to

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Speaker 5: do that. So a little bit sneaky there, Bill Gates

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Speaker 5: or whomever's making these kinds of decisions.

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Speaker 2: Yeah, it's interesting to imagine. You know, we've talked recently

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Speaker 2: about how Google is what, uh, falling down a little

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Speaker 2: bit when it comes to search results that people actually want. Oh,

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Speaker 2: Google is just didn't we just talk.

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Speaker 4: About that we did. We did. They're there.

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Speaker 5: They're having some troubles for sure, and all their AI

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Speaker 5: automatic generated responses are really getting under people's skin.

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Speaker 4: Yeah, it's a good point, Matt, but I would I

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Speaker 4: would argue that still.

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Speaker 5: You know, Google's definitely got one up on Bing in

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Speaker 5: terms of you know, wide adoption.

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Speaker 2: Yeah, for sure. Well, in the name of the game

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Speaker 2: for these for all of these search engine companies is

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Speaker 2: serving you ads anyway, right, So all you need is

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Speaker 2: people to type something into that bar and then you're

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Speaker 2: gonna get all the stuff you always wanted to buy.

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Speaker 2: And it is weird our conversation in the previous segment

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Speaker 2: about Facebook. That's their business model too, right, So it

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Speaker 2: really is just like, just type some stuff into our

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Speaker 2: input thing so that we can serve you ads.

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Speaker 5: Let me just clarify. I think I might have misspoke.

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Speaker 5: It's not that you're getting served Google results. That that's

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Speaker 5: not how that would work. You're using BANG, you're getting

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Speaker 5: served Being results. This occurs when somebody bing's Google. You

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Speaker 5: search for Google or Google dot com on being and

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Speaker 5: then you are presented with this sort of sham Google

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Speaker 5: landing page. Apparently it still has the Bing logo at

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Speaker 5: the top, but when you load it, it cleverly scroll

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Speaker 5: down just enough where you can't see the being logo,

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Speaker 5: and you're now presented with this. It doesn't say Google,

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Speaker 5: but it looks like, you know, the Google type of

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Speaker 5: design aesthetic, as like the Google doodle doesn't say Google.

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Speaker 4: Again, Google doesn't own this aesthetic.

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Speaker 5: I certainly imagine it would be very difficult to prove

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Speaker 5: any kind of infringement on like a color schemes or

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Speaker 5: like a style of little character people.

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Speaker 3: You know, it's also not illegal, which is the tricky part.

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Speaker 3: I love the point you're making there, nol. It reminds

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Speaker 3: me of our earlier conversation in our Dead Internet Theory episode,

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Speaker 3: which applies to both Facebook and Google search results. The

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Speaker 3: majority of people who are searching on Google or bing

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Speaker 3: are not going to page two, right, They're looking at

439
00:25:45,600 --> 00:25:48,640
Speaker 3: the top hit list. And the majority of people who

440
00:25:48,800 --> 00:25:53,120
Speaker 3: are looking for these results in general, whatever they type

441
00:25:53,160 --> 00:25:57,199
Speaker 3: into the omni search bar, they're not going to prioritize

442
00:25:58,200 --> 00:26:02,560
Speaker 3: some kind of sussing out of sources often, you know

443
00:26:02,600 --> 00:26:06,440
Speaker 3: what I mean. And this is this is funny because, dude,

444
00:26:06,520 --> 00:26:10,360
Speaker 3: it reminds me of one of the one of the

445
00:26:10,400 --> 00:26:15,560
Speaker 3: biggest things I remember reading in multiple programmer and like

446
00:26:16,520 --> 00:26:20,639
Speaker 3: pen testing forums, which is what's the best use for

447
00:26:20,720 --> 00:26:25,440
Speaker 3: Microsoft Edge? The number one answer is often downloading Google.

448
00:26:25,600 --> 00:26:28,120
Speaker 4: Yeah, yeah, cl exactly, or for Firefox.

449
00:26:28,160 --> 00:26:31,640
Speaker 5: And there's also tons of like freeware, you know, internet

450
00:26:31,640 --> 00:26:33,600
Speaker 5: browsers like what operas.

451
00:26:33,200 --> 00:26:34,120
Speaker 4: One people really love.

452
00:26:34,200 --> 00:26:35,879
Speaker 5: I know there's one that you guys always mentioned that

453
00:26:36,000 --> 00:26:38,760
Speaker 5: kind of Carave, Yeah, Brave exactly, that are just a

454
00:26:38,760 --> 00:26:42,000
Speaker 5: lot more streamline, there's a lot less bloat in terms

455
00:26:42,000 --> 00:26:44,760
Speaker 5: of the software. Microsoft is notorious for having kind of

456
00:26:44,800 --> 00:26:48,240
Speaker 5: bloated software built into their operating systems.

457
00:26:48,359 --> 00:26:50,399
Speaker 4: Maybe things have changed. I kind of doubt it.

458
00:26:50,600 --> 00:26:53,000
Speaker 5: I just know, you know, in my days using PCs

459
00:26:53,040 --> 00:26:56,840
Speaker 5: and using these types of browsers, pop ups were just everywhere,

460
00:26:56,880 --> 00:26:58,359
Speaker 5: and maybe the pop up is sort of a thing

461
00:26:58,359 --> 00:27:00,520
Speaker 5: of the past. But I do imagine that my Microsoft

462
00:27:00,600 --> 00:27:03,439
Speaker 5: is not entirely shed that kind of thing. I do

463
00:27:03,520 --> 00:27:05,040
Speaker 5: just want to read a quick quote to back up

464
00:27:05,080 --> 00:27:07,879
Speaker 5: what you said. Ben by Jacob Siegel from an article

465
00:27:08,000 --> 00:27:11,280
Speaker 5: on bgr Bing was caught trying to trick people into

466
00:27:11,280 --> 00:27:13,640
Speaker 5: thinking they're using Google. He says most of us would

467
00:27:13,640 --> 00:27:15,639
Speaker 5: probably see through this trick and click through to Google,

468
00:27:15,680 --> 00:27:17,280
Speaker 5: but it's not hard to see how some users could

469
00:27:17,320 --> 00:27:19,399
Speaker 5: be fooled. After all, it looks close enough to Google

470
00:27:19,440 --> 00:27:21,240
Speaker 5: that you might not notice it at a glance. And

471
00:27:21,320 --> 00:27:25,359
Speaker 5: unfortunately many of us ourselves included here, guys, I'm sure,

472
00:27:26,000 --> 00:27:28,359
Speaker 5: whether we know it or not, many of us fall

473
00:27:28,400 --> 00:27:31,159
Speaker 5: for less clever tricks on a regular basis. Whatever the

474
00:27:31,160 --> 00:27:33,560
Speaker 5: case of this nefarious trick keeps even a small fraction

475
00:27:34,000 --> 00:27:36,240
Speaker 5: of potential switchers from ditching bing.

476
00:27:36,480 --> 00:27:37,639
Speaker 4: It's a win for Microsoft.

477
00:27:38,560 --> 00:27:42,160
Speaker 3: And just to get in front of the emails, please

478
00:27:42,240 --> 00:27:45,960
Speaker 3: do always email us conspiracy didihetradio dot com. Yes, we're

479
00:27:46,000 --> 00:27:49,280
Speaker 3: aware that a lot of the browsers by Paul Noll

480
00:27:49,480 --> 00:27:54,440
Speaker 3: just described there are based on the Chromium browser engine,

481
00:27:54,480 --> 00:27:58,280
Speaker 3: which is the same open source technology that Google's Chrome

482
00:27:58,520 --> 00:28:02,360
Speaker 3: is based on. The differentferences, how they, to your point,

483
00:28:02,440 --> 00:28:05,520
Speaker 3: know how they prioritize privacy right? Well, how do they

484
00:28:05,560 --> 00:28:09,119
Speaker 3: approach the pop up ads and the various cookies they

485
00:28:09,160 --> 00:28:10,960
Speaker 3: get passed out to you during It.

486
00:28:10,920 --> 00:28:13,440
Speaker 5: Is interesting to you, guys, because, like I remember, back

487
00:28:13,440 --> 00:28:15,920
Speaker 5: when I was a little younger and just getting around

488
00:28:15,960 --> 00:28:18,720
Speaker 5: people that were like super tech heads, coder types, it

489
00:28:18,800 --> 00:28:23,120
Speaker 5: seemed like that that max were a little more prevalent,

490
00:28:23,200 --> 00:28:26,560
Speaker 5: you know, using for coding. But now it certainly seems

491
00:28:26,680 --> 00:28:29,199
Speaker 5: like maybe I'm wrong. Anybody in the coding community out there,

492
00:28:29,240 --> 00:28:30,880
Speaker 5: totally call me on this, but I will just say

493
00:28:30,880 --> 00:28:33,879
Speaker 5: that my understanding today, and maybe this has always been

494
00:28:33,920 --> 00:28:36,760
Speaker 5: the case, is that PCs are king when it comes

495
00:28:36,800 --> 00:28:40,080
Speaker 5: to like running open source type stuff, you know, coding,

496
00:28:40,200 --> 00:28:41,520
Speaker 5: creating software.

497
00:28:41,400 --> 00:28:43,320
Speaker 4: Testing things, debugging and all of that stuff.

498
00:28:43,320 --> 00:28:45,800
Speaker 5: It seems like MAX have taken more of a position

499
00:28:45,960 --> 00:28:49,280
Speaker 5: as the you know, top go to for things like production,

500
00:28:49,440 --> 00:28:53,880
Speaker 5: you know, audio recording, video editing, after effects and things

501
00:28:53,920 --> 00:28:56,040
Speaker 5: like that, because they run certain suites of tools really well,

502
00:28:56,280 --> 00:28:58,680
Speaker 5: and there's hardware that is designed for them that are

503
00:28:58,680 --> 00:29:00,200
Speaker 5: great for that as well that you know, out of

504
00:29:00,240 --> 00:29:03,720
Speaker 5: the pro level audio equipment don't run as well on PCs.

505
00:29:03,760 --> 00:29:07,800
Speaker 5: But PCs are typically the kind of go to platform

506
00:29:07,960 --> 00:29:10,240
Speaker 5: or go to type of machines for this high level

507
00:29:10,240 --> 00:29:14,120
Speaker 5: coding stuff. So I do think it's interesting that the

508
00:29:14,120 --> 00:29:18,200
Speaker 5: the like browser and operating system that's the most popular

509
00:29:18,240 --> 00:29:21,600
Speaker 5: for PCs are so kind of counter to that type

510
00:29:21,600 --> 00:29:26,240
Speaker 5: of audience. AnyWho, I will just mention one other story

511
00:29:26,280 --> 00:29:28,920
Speaker 5: really quickly. This is pretty controversial, and I don't really

512
00:29:28,920 --> 00:29:30,680
Speaker 5: necessarily think we need to go into it too much.

513
00:29:30,840 --> 00:29:35,200
Speaker 5: It's a pretty serious human rights violation from an organization

514
00:29:35,280 --> 00:29:39,560
Speaker 5: that is notorious for just human rights violations. Upon human

515
00:29:39,640 --> 00:29:44,920
Speaker 5: rights violations, the Taliban has apparently banned windows in order

516
00:29:45,000 --> 00:29:48,680
Speaker 5: to have in certain areas under their control, to stop

517
00:29:48,720 --> 00:29:51,240
Speaker 5: women from being seen at home.

518
00:29:51,320 --> 00:29:55,040
Speaker 3: And this actual physical physical windows has nothing to do

519
00:29:55,160 --> 00:29:57,640
Speaker 3: with our conversation about electronics and software.

520
00:29:57,640 --> 00:29:59,000
Speaker 4: No, no, actual, not at all.

521
00:29:59,040 --> 00:30:02,720
Speaker 5: Actual facts can struy dirduction accoutrem windows, you know, the

522
00:30:02,760 --> 00:30:05,320
Speaker 5: ones that let you like see the out of doors,

523
00:30:05,400 --> 00:30:08,640
Speaker 5: you know, get like sunlight inside. And the thing that's

524
00:30:08,680 --> 00:30:11,400
Speaker 5: the most interesting about this to me is that it's

525
00:30:11,400 --> 00:30:16,440
Speaker 5: trickling down and being leveraged against NGOs, which are often

526
00:30:16,960 --> 00:30:22,920
Speaker 5: human rights organizations, organizations offering relief and support and dangerous

527
00:30:22,920 --> 00:30:24,640
Speaker 5: parts of the world and war torn parts of the

528
00:30:24,680 --> 00:30:26,600
Speaker 5: world and parts of the world where there is not

529
00:30:26,920 --> 00:30:29,720
Speaker 5: the kind of equality that you know exists elsewhere.

530
00:30:30,400 --> 00:30:31,400
Speaker 4: So this is a real problem.

531
00:30:31,440 --> 00:30:35,280
Speaker 5: They're actually blocking the construction of offices or the use

532
00:30:35,360 --> 00:30:39,920
Speaker 5: of offices that have windows for NGOs that employ women,

533
00:30:40,280 --> 00:30:43,840
Speaker 5: in an effort that would seem to be entirely designed

534
00:30:43,920 --> 00:30:47,160
Speaker 5: to shut down these NGOs from operating and of course

535
00:30:47,200 --> 00:30:51,440
Speaker 5: to continue to deprive women of the ability to be employed.

536
00:30:51,920 --> 00:30:56,840
Speaker 5: There's an article on The Independent about this by Maya Oppenheim,

537
00:30:57,360 --> 00:31:01,280
Speaker 5: and she has a really telling quote from a representative

538
00:31:01,320 --> 00:31:04,040
Speaker 5: from Human Rights Watch who had this to say about

539
00:31:04,040 --> 00:31:07,200
Speaker 5: the policy. This is Heather Barr, the interim Deputy Director

540
00:31:07,240 --> 00:31:10,360
Speaker 5: of Human Rights at Human Rights Watch. She told the

541
00:31:10,360 --> 00:31:13,600
Speaker 5: Independent people have talked about the Taliban metaphorically erasing women,

542
00:31:13,600 --> 00:31:16,160
Speaker 5: but increasingly it is not metaphorical at all. They have

543
00:31:16,200 --> 00:31:19,080
Speaker 5: already ordered that women's voices shouldn't be heard in public,

544
00:31:19,360 --> 00:31:22,160
Speaker 5: and now they are essentially stopping women from even looking

545
00:31:22,200 --> 00:31:25,480
Speaker 5: out of the window. They are stopping women from being seen,

546
00:31:25,560 --> 00:31:29,520
Speaker 5: They are stopping women from seeing the world. It is

547
00:31:29,560 --> 00:31:33,080
Speaker 5: a total annihilation of women's personhood and it is clearly ongoing.

548
00:31:33,120 --> 00:31:35,560
Speaker 4: We don't have any idea where this will end.

549
00:31:36,200 --> 00:31:38,880
Speaker 5: And then you pointed out when we were talking offline

550
00:31:38,960 --> 00:31:43,880
Speaker 5: about this that there's another very telling quote from a

551
00:31:43,920 --> 00:31:50,600
Speaker 5: Taliban spokesperson that essentially sums up the reasoning behind the policy,

552
00:31:50,600 --> 00:31:52,640
Speaker 5: which I think speaks volumes. So this is what he

553
00:31:52,680 --> 00:31:56,360
Speaker 5: had to say. Seeing women working in kitchens in courtyards

554
00:31:56,400 --> 00:32:04,120
Speaker 5: or collecting water from wells can lead to obs scene acts. Wow,

555
00:32:04,400 --> 00:32:07,040
Speaker 5: it's not gonna end well. No, it's not gonna end well.

556
00:32:07,080 --> 00:32:09,360
Speaker 5: And it's another slippery slope kind of thing. And it's

557
00:32:09,480 --> 00:32:14,760
Speaker 5: just based on a way of thinking that just doesn't

558
00:32:14,800 --> 00:32:18,480
Speaker 5: seem in line with humanity. So, you know, don't want

559
00:32:18,520 --> 00:32:20,560
Speaker 5: to didn't want to get too deep into this, but

560
00:32:20,600 --> 00:32:24,000
Speaker 5: I thought it was worth mentioning. And lastly, I just

561
00:32:24,040 --> 00:32:26,960
Speaker 5: had kind of a fun history mystery that I think

562
00:32:27,080 --> 00:32:30,160
Speaker 5: is on the way to being solved. Guys, there's a

563
00:32:30,160 --> 00:32:33,720
Speaker 5: fabulous article from our friends at the Smithsonian or Smithsonian

564
00:32:33,760 --> 00:32:34,760
Speaker 5: Magazine by Sarah A.

565
00:32:34,880 --> 00:32:35,240
Speaker 4: Kuta.

566
00:32:36,040 --> 00:32:40,160
Speaker 5: Ancient Romans breathed in enough lead to lower their IQs

567
00:32:40,320 --> 00:32:45,440
Speaker 5: study fines. Did that toxin contribute to the empire's fall?

568
00:32:46,720 --> 00:32:49,760
Speaker 5: It's a very good question. I had no idea that

569
00:32:51,440 --> 00:32:55,720
Speaker 5: ancient Romans use lead for all kinds of stuff, including

570
00:32:55,920 --> 00:33:01,320
Speaker 5: sweetening their wine using something called lead acetate. They also

571
00:33:01,680 --> 00:33:05,520
Speaker 5: had infrastructure. While impressive we know the aqueducts and all

572
00:33:05,520 --> 00:33:09,000
Speaker 5: of that indoor plumbing, they were though made of lead.

573
00:33:09,080 --> 00:33:11,480
Speaker 5: These pipes where the water flowed, and they were drinking

574
00:33:11,480 --> 00:33:13,720
Speaker 5: that water on the regular. So this new research that

575
00:33:13,800 --> 00:33:17,400
Speaker 5: was just recently released suggests they were also breathing in

576
00:33:18,000 --> 00:33:22,720
Speaker 5: massive quantities of lead from smelting and silver mining operations.

577
00:33:23,120 --> 00:33:26,440
Speaker 5: Researchers writing in this new paper that was published Monday

578
00:33:26,440 --> 00:33:29,360
Speaker 5: in the journal Proceedings of the National Academy of Sciences,

579
00:33:30,040 --> 00:33:34,080
Speaker 5: believe that these toxic metals polluting the air likely got

580
00:33:34,120 --> 00:33:36,959
Speaker 5: into the bloodstream of children and LEDs to what they

581
00:33:37,000 --> 00:33:43,560
Speaker 5: referred to as widespread cognitive decline. The researchers believe that

582
00:33:43,640 --> 00:33:46,600
Speaker 5: the lead found in the air may have caused an

583
00:33:46,720 --> 00:33:50,760
Speaker 5: estimated two point five to three point drop in IQ's

584
00:33:50,920 --> 00:33:55,240
Speaker 5: throughout the Roman Empire. This specifically would have taken place

585
00:33:55,320 --> 00:33:58,320
Speaker 5: during the one hundred plus year period known as the

586
00:33:58,400 --> 00:34:01,960
Speaker 5: Pax Romana. You know, it was obviously a golden time

587
00:34:02,280 --> 00:34:05,840
Speaker 5: in ancient Rome. There will seem seemingly very happy and content.

588
00:34:05,960 --> 00:34:09,800
Speaker 5: There was no bloodshed and no fighting in the streets.

589
00:34:09,840 --> 00:34:13,640
Speaker 5: It was, you know, pretty serene time. However, it would

590
00:34:13,719 --> 00:34:17,799
Speaker 5: seem that this decline could have created in the population

591
00:34:18,000 --> 00:34:23,160
Speaker 5: of ancient Rome, you know, maybe some significant deficiencies over

592
00:34:23,200 --> 00:34:25,640
Speaker 5: time that may well have led to some poor decision making.

593
00:34:26,080 --> 00:34:27,759
Speaker 4: There are those that question this, though.

594
00:34:27,760 --> 00:34:29,279
Speaker 5: There are there are those that say, well, look at

595
00:34:29,320 --> 00:34:31,680
Speaker 5: what they did, look at what they accomplished during that time.

596
00:34:32,000 --> 00:34:34,400
Speaker 5: This is not the work of people who are you know,

597
00:34:34,920 --> 00:34:36,320
Speaker 5: well on a downward trend.

598
00:34:36,800 --> 00:34:40,000
Speaker 3: But also also we have more recent precedent for this.

599
00:34:40,120 --> 00:34:42,520
Speaker 3: I was clocking this story as well. Please check out

600
00:34:42,520 --> 00:34:46,960
Speaker 3: our twenty sixteen episode Beyond Flint the Looming LED Crisis.

601
00:34:47,239 --> 00:34:51,080
Speaker 3: There's a lot of scholarship that has gone into the

602
00:34:51,200 --> 00:34:57,600
Speaker 3: relationship between especially early childhood LED exposure and then later

603
00:35:00,400 --> 00:35:03,600
Speaker 3: let's call it life experiences of people who are exposed

604
00:35:03,640 --> 00:35:06,360
Speaker 3: to lead at formative points in their life. So I

605
00:35:06,960 --> 00:35:10,400
Speaker 3: agree with you, no, I thought this was a fascinating study.

606
00:35:10,400 --> 00:35:13,360
Speaker 3: And yeah, to your point and to the scholarship's point here,

607
00:35:13,640 --> 00:35:16,719
Speaker 3: there are tons of other intervening variables that have to

608
00:35:16,719 --> 00:35:21,759
Speaker 3: be considered. But there's something to it. I'm gonna say it,

609
00:35:21,800 --> 00:35:22,839
Speaker 3: there's something to it.

610
00:35:23,120 --> 00:35:26,919
Speaker 2: Well, can you imagine in around the year four thousand, Well,

611
00:35:27,000 --> 00:35:29,480
Speaker 2: there's going to be a similar article and it's going

612
00:35:29,560 --> 00:35:33,600
Speaker 2: to talk about the humans in the second millennium, at

613
00:35:33,680 --> 00:35:36,280
Speaker 2: least according to the calendars, they'll call it something different

614
00:35:36,440 --> 00:35:40,680
Speaker 2: and they'll be talking about CH two CCHX or various

615
00:35:40,680 --> 00:35:44,320
Speaker 2: polymer plastics in the same way about lead. We noticed

616
00:35:44,680 --> 00:35:47,960
Speaker 2: that all of the subjects we found had a lot

617
00:35:48,000 --> 00:35:51,840
Speaker 2: of this plastic substance in their bodies in the fossils

618
00:35:51,880 --> 00:35:54,880
Speaker 2: we found. Although they were they did seem to be

619
00:35:54,920 --> 00:35:59,880
Speaker 2: able to construct massive skyscrapers and build the technology that

620
00:35:59,920 --> 00:36:02,160
Speaker 2: became the building blocks of what we now use today,

621
00:36:02,520 --> 00:36:04,880
Speaker 2: but they sure were filled with this plastic stuff.

622
00:36:06,000 --> 00:36:08,200
Speaker 5: No, it's true, and just just for reference, this study

623
00:36:08,400 --> 00:36:14,120
Speaker 5: came from data collected from ice cores that indicated that

624
00:36:14,760 --> 00:36:17,839
Speaker 5: a massive amounts of lead were released during that two

625
00:36:17,920 --> 00:36:20,680
Speaker 5: hundred year period known as the poxhermonie i SAI one

626
00:36:20,719 --> 00:36:21,680
Speaker 5: hundred plus years earlier.

627
00:36:21,680 --> 00:36:24,040
Speaker 4: It was actually closer to two hundred years.

628
00:36:24,920 --> 00:36:27,239
Speaker 5: And we have a really interesting quote from a neuro

629
00:36:27,440 --> 00:36:31,200
Speaker 5: toxicologist at the University of Rochester Medical Center who had

630
00:36:31,200 --> 00:36:33,880
Speaker 5: nothing to do with the paper, referring to kind of

631
00:36:33,880 --> 00:36:36,560
Speaker 5: to your point, been a modern equivalent. It says, we

632
00:36:36,600 --> 00:36:39,520
Speaker 5: have actual data on IQ scores and kids with different

633
00:36:39,560 --> 00:36:44,040
Speaker 5: blood lead concentrations, and the effect on IQ is just

634
00:36:44,200 --> 00:36:48,160
Speaker 5: one byproduct of this kind of heavy metal build up

635
00:36:48,200 --> 00:36:48,680
Speaker 5: in the body.

636
00:36:48,719 --> 00:36:50,120
Speaker 4: Another can be in.

637
00:36:50,160 --> 00:36:56,880
Speaker 5: Children slowed growth conditions like anemia, hearing problems, behavioral problems,

638
00:36:56,960 --> 00:37:01,160
Speaker 5: learning disabilities, and hyperactivity. So the IQ thing is just

639
00:37:01,200 --> 00:37:04,200
Speaker 5: like one measurement, and all of those things combined certainly

640
00:37:04,200 --> 00:37:07,080
Speaker 5: could have put a damper on innovation. There's a quote

641
00:37:07,120 --> 00:37:09,600
Speaker 5: that wraps up the Smithsonian piece from a pathologist at

642
00:37:09,600 --> 00:37:11,360
Speaker 5: the Ohio State University.

643
00:37:11,440 --> 00:37:12,520
Speaker 4: Named Amy L.

644
00:37:12,640 --> 00:37:16,600
Speaker 5: Pyle Iola, and she had this to say, while the

645
00:37:16,640 --> 00:37:19,839
Speaker 5: magnitude of exposure and the correlated blood lead levels were

646
00:37:19,960 --> 00:37:22,920
Speaker 5: enough to negatively affect the cognitive function of that population,

647
00:37:23,400 --> 00:37:26,000
Speaker 5: this is still a far cry from causing the downfall

648
00:37:26,080 --> 00:37:27,120
Speaker 5: of the Roman Empire.

649
00:37:28,120 --> 00:37:30,000
Speaker 4: So you know, I mean, it's definitely interesting.

650
00:37:30,320 --> 00:37:33,839
Speaker 5: It definitely seems like it would have had some kind

651
00:37:33,840 --> 00:37:38,080
Speaker 5: of impact long term, but the jury is still out

652
00:37:38,080 --> 00:37:41,799
Speaker 5: on whether it was the most important factor in what

653
00:37:41,880 --> 00:37:43,560
Speaker 5: we know as the fall of the Roman Empire.

654
00:37:44,520 --> 00:37:45,960
Speaker 4: Well that's it for me, y'all.

655
00:37:46,120 --> 00:37:48,480
Speaker 5: 'll take a quick sponsor break, and we'll come back

656
00:37:48,520 --> 00:37:57,800
Speaker 5: with one more or a handful more pieces of strange news.

657
00:37:58,480 --> 00:38:02,759
Speaker 2: And we've returned. We have quite a sad thing to

658
00:38:02,800 --> 00:38:06,600
Speaker 2: report to everyone. Perhaps by now you've already read this news,

659
00:38:07,160 --> 00:38:10,600
Speaker 2: but this comes to us via January sixth, just a

660
00:38:10,600 --> 00:38:14,880
Speaker 2: couple of days before we recorded the episode. I'll just

661
00:38:14,920 --> 00:38:18,120
Speaker 2: read this direct quote from the Tampa Bay Times. Mike

662
00:38:18,200 --> 00:38:22,320
Speaker 2: render A former top Scientology spokesperson who later broke away

663
00:38:22,360 --> 00:38:26,080
Speaker 2: and became one of the church's most outspoken critics. Died

664
00:38:26,200 --> 00:38:30,800
Speaker 2: on January fifth in Palm Harbor due to esophageal cancer.

665
00:38:31,200 --> 00:38:32,399
Speaker 2: He was sixty nine.

666
00:38:32,960 --> 00:38:35,200
Speaker 5: Yeah, but that was one of my favorite interviews. I

667
00:38:35,239 --> 00:38:37,480
Speaker 5: think we've ever done. What an interesting cat.

668
00:38:38,480 --> 00:38:42,960
Speaker 3: Yeah, back in twenty twenty we did interview. We had

669
00:38:43,000 --> 00:38:47,680
Speaker 3: a two part interview with Mike Render regarding his work

670
00:38:47,719 --> 00:38:53,040
Speaker 3: as a as an activist regarding the dangers and controversies

671
00:38:53,080 --> 00:38:54,520
Speaker 3: surrounding scientology.

672
00:38:54,719 --> 00:38:57,120
Speaker 2: Yeah, well as well as his time as one of

673
00:38:57,160 --> 00:39:01,200
Speaker 2: the primary Scientology guys, like the enforcer, the I mean

674
00:39:01,440 --> 00:39:02,919
Speaker 2: scary Scientology guy.

675
00:39:03,000 --> 00:39:04,719
Speaker 5: I mean it was honestly the most kind of I

676
00:39:04,760 --> 00:39:06,560
Speaker 5: guess starstruck is gonna be the wrong word that I've

677
00:39:06,560 --> 00:39:08,680
Speaker 5: ever been talking to somebody because some of those I

678
00:39:08,680 --> 00:39:12,479
Speaker 5: believe it was Panorama. There's a Panorama BBC documentary where

679
00:39:12,480 --> 00:39:16,920
Speaker 5: he is prominently featured, as you know, actively engaging and

680
00:39:16,960 --> 00:39:19,879
Speaker 5: shutting down reporting on the trick to scientology.

681
00:39:19,920 --> 00:39:21,880
Speaker 4: And yet to your point, Matt, he was a bulldog.

682
00:39:22,040 --> 00:39:24,200
Speaker 5: The guy was scary and to see someone and be

683
00:39:24,239 --> 00:39:26,960
Speaker 5: able to interact with someone who's made such an about face.

684
00:39:27,640 --> 00:39:29,400
Speaker 4: It was kind of staggering.

685
00:39:29,960 --> 00:39:32,840
Speaker 2: Yeah, let's go back to that Tampa Bay Times article

686
00:39:32,880 --> 00:39:35,040
Speaker 2: really quickly, just to give a little more context for Mike.

687
00:39:35,440 --> 00:39:38,439
Speaker 2: It says Rinder, who once worked closely with church leader

688
00:39:38,520 --> 00:39:42,319
Speaker 2: David Miscavage, was a crucial source in the Saint Petersburg

689
00:39:42,400 --> 00:39:46,239
Speaker 2: Times two thousand and nine multipart investigation into scientology that

690
00:39:46,360 --> 00:39:49,000
Speaker 2: was called The Truth Rundown. He was also a part

691
00:39:49,040 --> 00:39:52,160
Speaker 2: of many of these other documentaries you just mentioned there, Nol.

692
00:39:52,680 --> 00:39:54,560
Speaker 2: Later he went on to win two Emmys for his

693
00:39:54,640 --> 00:39:59,360
Speaker 2: work on the docuseries quote Leah Remini colon Scientology and

694
00:39:59,400 --> 00:40:00,000
Speaker 2: the Aftermath.

695
00:40:00,200 --> 00:40:02,640
Speaker 5: Well, and they did a podcast version of that for us,

696
00:40:03,120 --> 00:40:04,800
Speaker 5: they did for a handful of years.

697
00:40:05,200 --> 00:40:07,560
Speaker 2: That was why we got the opportunity to speak with

698
00:40:07,600 --> 00:40:11,880
Speaker 2: Mike on our show. And yeah, it is just a

699
00:40:11,920 --> 00:40:15,840
Speaker 2: loss because, well it's weird. He's such an interesting, you know,

700
00:40:16,320 --> 00:40:19,520
Speaker 2: full human character that has gone through so much and then,

701
00:40:19,560 --> 00:40:21,840
Speaker 2: as you said, had that large change in his life

702
00:40:22,320 --> 00:40:24,200
Speaker 2: and then to be able to speak out against something

703
00:40:24,239 --> 00:40:27,200
Speaker 2: he saw as detrimental and dangerous.

704
00:40:26,880 --> 00:40:30,840
Speaker 3: And the name of that podcast for anyone interested, We're

705
00:40:31,120 --> 00:40:33,200
Speaker 3: not blowing smoke or I'm not blowing smoke. When I

706
00:40:33,200 --> 00:40:35,640
Speaker 3: say it's a great investigation. The name of it is

707
00:40:35,719 --> 00:40:40,640
Speaker 3: Scientology fair Game, available now wherever you find your favorite shows.

708
00:40:40,760 --> 00:40:44,520
Speaker 5: And it just I mean, there was nothing that benefited

709
00:40:44,600 --> 00:40:47,040
Speaker 5: him from speaking out like this, if anything, and just

710
00:40:47,080 --> 00:40:49,680
Speaker 5: put him out that risk, you know, and he just

711
00:40:49,719 --> 00:40:52,200
Speaker 5: seemed like he was speaking absolutely from the heart. And

712
00:40:52,239 --> 00:40:55,600
Speaker 5: it's just so rare to find someone that has had

713
00:40:55,760 --> 00:40:59,480
Speaker 5: such a change of heart and then you know, doubles

714
00:40:59,520 --> 00:41:02,400
Speaker 5: down on wanting to help others that were impacted in

715
00:41:02,440 --> 00:41:05,040
Speaker 5: the same way that he was by what he believes

716
00:41:05,080 --> 00:41:07,400
Speaker 5: as an insidious dogma.

717
00:41:08,320 --> 00:41:12,359
Speaker 2: Yeah, and the term fair game in there is something

718
00:41:12,440 --> 00:41:15,080
Speaker 2: we talk about in the podcast, the two part series

719
00:41:15,080 --> 00:41:16,560
Speaker 2: that we're going to put out here in just a

720
00:41:16,560 --> 00:41:19,480
Speaker 2: little bit for everybody to catch up on. If you

721
00:41:19,520 --> 00:41:21,480
Speaker 2: want to, you can go back through the archives and

722
00:41:21,520 --> 00:41:24,520
Speaker 2: find it. They were published in late October twenty twenty,

723
00:41:25,040 --> 00:41:26,759
Speaker 2: so do check that out if you want to now

724
00:41:26,880 --> 00:41:29,160
Speaker 2: or again. We'll be putting them out as classics here

725
00:41:29,200 --> 00:41:31,839
Speaker 2: in just a bit. All right, Well, that's one piece

726
00:41:31,880 --> 00:41:34,840
Speaker 2: of it. Fair Game, by the way, is the doctrine

727
00:41:34,920 --> 00:41:37,160
Speaker 2: perhaps is the way you would say it of going

728
00:41:37,280 --> 00:41:39,920
Speaker 2: after people who spoke out against scientology.

729
00:41:40,000 --> 00:41:41,400
Speaker 3: Yes, it's the policy.

730
00:41:41,600 --> 00:41:43,160
Speaker 2: Yeah, there you go. That's a good way to.

731
00:41:43,480 --> 00:41:47,400
Speaker 5: By any means necessary docxing. Yeah, you know, absolutely ruining

732
00:41:47,440 --> 00:41:48,239
Speaker 5: their lives.

733
00:41:48,480 --> 00:41:52,880
Speaker 3: Do also check out Operations snow White, a banger episode,

734
00:41:52,920 --> 00:41:54,120
Speaker 3: if I may say so myself.

735
00:41:54,280 --> 00:41:55,920
Speaker 2: Watch the video too, wherein.

736
00:41:55,760 --> 00:42:01,360
Speaker 3: We go deep into one of the most sixful heist

737
00:42:01,520 --> 00:42:05,800
Speaker 3: against the United States government. It is a wild ride

738
00:42:05,920 --> 00:42:08,040
Speaker 3: and it is a completely true conspiracy.

739
00:42:08,680 --> 00:42:11,359
Speaker 2: Fun behind the scenes of that video, Ben, you and

740
00:42:11,400 --> 00:42:14,680
Speaker 2: I went over to like not far away from where

741
00:42:14,760 --> 00:42:17,400
Speaker 2: our offices were at the time, to a very large

742
00:42:17,400 --> 00:42:20,160
Speaker 2: parking deck that was not our parking deck and made

743
00:42:20,160 --> 00:42:24,440
Speaker 2: that and it was so much fun. Okay, here we go,

744
00:42:24,719 --> 00:42:26,480
Speaker 2: jumping into the next thing. I've got a note here

745
00:42:26,520 --> 00:42:29,839
Speaker 2: about some guy named Justin Trudeau. There was a part

746
00:42:29,840 --> 00:42:32,360
Speaker 2: of Canada's government in some way, and it says he's

747
00:42:32,680 --> 00:42:34,720
Speaker 2: stepping down after nine years.

748
00:42:35,120 --> 00:42:37,480
Speaker 3: Yeah, famous fan of blackface, that guy.

749
00:42:37,880 --> 00:42:43,920
Speaker 2: Oh oh great, Well, well it's just had a note

750
00:42:43,960 --> 00:42:47,279
Speaker 2: here about that. Really, who cares? Here we go. The

751
00:42:47,360 --> 00:42:53,840
Speaker 2: next story is a callback to our explorations of food

752
00:42:54,440 --> 00:42:56,440
Speaker 2: and the heavy metals and stuff that are in them,

753
00:42:56,560 --> 00:42:59,319
Speaker 2: which is a hearkening back to the lead content that

754
00:42:59,360 --> 00:43:02,600
Speaker 2: we just talked of out. Well, there is some good

755
00:43:02,640 --> 00:43:06,000
Speaker 2: news coming out of California. There's a new law that

756
00:43:06,080 --> 00:43:10,240
Speaker 2: will require baby food manufacturers to use an accredited lab

757
00:43:10,280 --> 00:43:14,240
Speaker 2: to test representative samples on any infant and toddler food

758
00:43:14,760 --> 00:43:19,400
Speaker 2: excluding infant formula great at least once a month for

759
00:43:19,560 --> 00:43:24,240
Speaker 2: levels of arsenic, cadmium, lead, and mercury. Because guys, remember

760
00:43:24,280 --> 00:43:26,200
Speaker 2: we talked about how there were elevated levels of these

761
00:43:26,200 --> 00:43:28,800
Speaker 2: heavy metals in all of the baby food or most

762
00:43:28,880 --> 00:43:34,680
Speaker 2: of the baby food that existed out there. Yes, not great.

763
00:43:35,040 --> 00:43:37,880
Speaker 2: There's actually something the coolest part about all of this.

764
00:43:38,640 --> 00:43:41,200
Speaker 2: As this law rolls out, at least in California and

765
00:43:41,200 --> 00:43:44,000
Speaker 2: hopefully it gets picked up on a wider basis, there

766
00:43:44,040 --> 00:43:46,719
Speaker 2: will be a place on like the little package of

767
00:43:46,800 --> 00:43:49,720
Speaker 2: baby food, and you can scan it with your phone

768
00:43:49,760 --> 00:43:53,160
Speaker 2: and it will take you to the latest reports basically

769
00:43:53,440 --> 00:43:56,359
Speaker 2: of the findings on tests on that particular product, so

770
00:43:56,440 --> 00:43:59,920
Speaker 2: you can see, oh, there actually are higher levels than

771
00:44:00,080 --> 00:44:03,759
Speaker 2: normal of mercury in this puade pairs and you can

772
00:44:03,800 --> 00:44:08,160
Speaker 2: read more about that in CNN. It's the link is weird.

773
00:44:08,200 --> 00:44:10,759
Speaker 2: It's like edition dot CNN dot com or something like that,

774
00:44:11,920 --> 00:44:14,759
Speaker 2: but the title is baby food labels will reveal levels

775
00:44:14,800 --> 00:44:16,839
Speaker 2: of lead and other heavy metals for the first time.

776
00:44:17,239 --> 00:44:21,799
Speaker 2: Written by Sandy LaMotte on January seventh, Go check that out.

777
00:44:22,600 --> 00:44:25,560
Speaker 2: And then for the main story, I wanted to talk about, guys,

778
00:44:26,400 --> 00:44:28,480
Speaker 2: just something a little strange that I wonder if you've

779
00:44:28,520 --> 00:44:34,759
Speaker 2: covered in Ridiculous History before about stowaways on aircraft? Have you, guys,

780
00:44:34,800 --> 00:44:35,680
Speaker 2: ever talked about.

781
00:44:35,480 --> 00:44:41,600
Speaker 3: That in specific instances, not as a larger tendency.

782
00:44:41,960 --> 00:44:45,680
Speaker 2: Got you? Okay, okay, Well let's jump into it via

783
00:44:45,920 --> 00:44:48,920
Speaker 2: a single story that came out on January seventh. It

784
00:44:48,960 --> 00:44:51,360
Speaker 2: was posted in CNN. I'll tell you the title in

785
00:44:51,400 --> 00:44:54,799
Speaker 2: a second here, but here here are the facts. Two

786
00:44:54,800 --> 00:44:57,080
Speaker 2: people were found dead in the wheel well of a

787
00:44:57,160 --> 00:45:00,000
Speaker 2: Jet Blue plane from New York City when it landed

788
00:45:00,160 --> 00:45:05,360
Speaker 2: at Fort Lauderdale Hollywood International Airport. This is information that

789
00:45:05,400 --> 00:45:08,640
Speaker 2: came out again on January seventh this year, twenty twenty five.

790
00:45:08,960 --> 00:45:12,000
Speaker 2: The bodies were discovered the day before, on January sixth,

791
00:45:12,080 --> 00:45:14,759
Speaker 2: that's a Monday night, And it was only during a

792
00:45:14,800 --> 00:45:18,480
Speaker 2: post flight maintenance inspection that these bodies were found. And

793
00:45:18,840 --> 00:45:23,200
Speaker 2: here's a quote. According to a local law enforcement official quote,

794
00:45:23,280 --> 00:45:28,720
Speaker 2: the bodies were badly decomposed unquote. So at this point

795
00:45:29,040 --> 00:45:32,000
Speaker 2: in the investigation of what happened, it's unknown how long

796
00:45:32,080 --> 00:45:35,120
Speaker 2: these two individuals, like how long they were in that

797
00:45:35,160 --> 00:45:38,920
Speaker 2: wheel well before they were discovered. That is very creepy.

798
00:45:39,440 --> 00:45:43,680
Speaker 2: The identities at the time of reporting were unknown. Circumstances

799
00:45:43,760 --> 00:45:46,360
Speaker 2: surrounding how they got into the aircraft were unknown but

800
00:45:46,480 --> 00:45:53,319
Speaker 2: under investigation, and the National Transportation Safety Board said it

801
00:45:53,360 --> 00:45:56,280
Speaker 2: is not going to be investigating it because it appears

802
00:45:56,280 --> 00:45:58,840
Speaker 2: that the incident had no involvement of the flight crew

803
00:45:59,000 --> 00:46:03,759
Speaker 2: or operation of the airplane. As in however these individuals

804
00:46:03,760 --> 00:46:06,520
Speaker 2: got onto the plane had nothing to do with normal operations.

805
00:46:06,680 --> 00:46:10,560
Speaker 2: It was some form of stowaway situation. At least that's

806
00:46:10,560 --> 00:46:14,400
Speaker 2: the way it appeared. We can talk more about like

807
00:46:14,440 --> 00:46:16,680
Speaker 2: where the flight went and everything, but you can look

808
00:46:16,719 --> 00:46:19,960
Speaker 2: that up if you search for the article. The article

809
00:46:20,080 --> 00:46:21,759
Speaker 2: is two bodies found in the wheel well of a

810
00:46:21,800 --> 00:46:26,640
Speaker 2: Jet Blue plane in Fort Lauderdale. Airlines says again in CNN. Now,

811
00:46:26,680 --> 00:46:28,040
Speaker 2: one of the reasons I wanted to talk about it

812
00:46:28,080 --> 00:46:30,960
Speaker 2: is because I recall right around Christmas time seeing a

813
00:46:31,000 --> 00:46:33,800
Speaker 2: story pop up in the old news feed about another

814
00:46:33,880 --> 00:46:38,120
Speaker 2: body being found in another wheel well. Really like I

815
00:46:38,120 --> 00:46:41,240
Speaker 2: think it was on. Yes, it was on December twenty fourth,

816
00:46:41,480 --> 00:46:46,480
Speaker 2: Christmas Eve of twenty twenty four, and it's another CNN article.

817
00:46:46,480 --> 00:46:49,280
Speaker 2: We'll jump to body found in wheel well of United

818
00:46:49,280 --> 00:46:54,600
Speaker 2: Airlines plane upon arrival in Hawaii, and it's just saying

819
00:46:54,840 --> 00:46:57,040
Speaker 2: it's a plane that flew from Chicago to Maui on

820
00:46:57,080 --> 00:47:00,280
Speaker 2: Christmas Eve. Upon arrival there at the airport in Malia, Oh,

821
00:47:00,280 --> 00:47:01,840
Speaker 2: body was found in the wheel well of one of

822
00:47:01,880 --> 00:47:05,040
Speaker 2: the main landing gears of a United aircraft. It was

823
00:47:05,080 --> 00:47:10,240
Speaker 2: a Boeing seven eighty seven to ten. And police department

824
00:47:10,400 --> 00:47:13,319
Speaker 2: is looking into the discovery of the body. And that's it.

825
00:47:13,560 --> 00:47:16,040
Speaker 2: And again it's unclear how the body ended up there,

826
00:47:16,440 --> 00:47:19,000
Speaker 2: how did the human being get into the wheelwell.

827
00:47:19,560 --> 00:47:21,480
Speaker 3: And how did they stay there for so long?

828
00:47:21,840 --> 00:47:24,600
Speaker 2: Yes, why were they not discovered until later?

829
00:47:24,760 --> 00:47:24,920
Speaker 4: Right?

830
00:47:25,040 --> 00:47:28,200
Speaker 2: That kind of thing. So I wanted to learn more

831
00:47:28,239 --> 00:47:32,480
Speaker 2: about this and headed on over to an FAA document

832
00:47:32,880 --> 00:47:37,080
Speaker 2: from March twenty twelve. It is a Research and Development

833
00:47:37,120 --> 00:47:41,520
Speaker 2: Annual Review Fiscal year twenty eleven. And if you jump

834
00:47:41,600 --> 00:47:43,680
Speaker 2: down a little bit in the article, it has some

835
00:47:43,760 --> 00:47:46,240
Speaker 2: things to say. I thought maybe it would be interesting

836
00:47:46,280 --> 00:47:49,560
Speaker 2: for us to explore these It's just talking about stowaways.

837
00:47:49,719 --> 00:47:51,440
Speaker 2: So here we go. This is a quote from that

838
00:47:52,280 --> 00:47:55,760
Speaker 2: annual review. A stowaway is a person who secretly boards

839
00:47:55,760 --> 00:47:58,439
Speaker 2: a vehicle, such as an aircraft, to travel without paying

840
00:47:58,520 --> 00:48:01,560
Speaker 2: and without detection. The first recorded case in history of

841
00:48:01,560 --> 00:48:07,160
Speaker 2: an aircraft stowaway occurred in nineteen twenty nine. This is

842
00:48:07,200 --> 00:48:11,080
Speaker 2: the important part. Stowaways face dangerous situations and risk death.

843
00:48:11,200 --> 00:48:14,480
Speaker 2: Usually a stowaway jumps into an aircraft by hanging onto

844
00:48:14,480 --> 00:48:19,399
Speaker 2: the airliner's landing gear as the plane takes off. Now,

845
00:48:19,760 --> 00:48:23,080
Speaker 2: first of all, we've seen that in popular culture, right,

846
00:48:24,239 --> 00:48:27,239
Speaker 2: someone trying to board a plane grabbing on to the

847
00:48:27,760 --> 00:48:29,120
Speaker 2: wheel part right.

848
00:48:29,040 --> 00:48:33,120
Speaker 5: Right, because they assess into the hold of the aircraft.

849
00:48:33,239 --> 00:48:33,439
Speaker 4: Right.

850
00:48:34,080 --> 00:48:38,200
Speaker 2: Yeah, Because again we've seen it in the pictures, in

851
00:48:38,239 --> 00:48:41,480
Speaker 2: the move in pictures that this is when the plane

852
00:48:41,520 --> 00:48:45,120
Speaker 2: goes wheels up, the wheels go back into the aircraft,

853
00:48:45,160 --> 00:48:49,759
Speaker 2: and a door shuts right. That's what occurs. So you

854
00:48:49,840 --> 00:48:52,160
Speaker 2: imagine I may be in your mind if you've not

855
00:48:52,360 --> 00:48:55,200
Speaker 2: done this before, Hey, I'd be just fine if I

856
00:48:55,239 --> 00:48:57,960
Speaker 2: grab on to that the wheels that are hanging down.

857
00:48:58,000 --> 00:49:00,239
Speaker 2: Then it goes back up into the plane. Now I'm

858
00:49:00,280 --> 00:49:05,000
Speaker 2: safely on my way to MAUI or wherever I'm going. Unfortunately,

859
00:49:05,360 --> 00:49:09,200
Speaker 2: that is not the case. That is not what actually happens.

860
00:49:09,719 --> 00:49:12,840
Speaker 2: So let's go back to that annual review. The force

861
00:49:12,880 --> 00:49:15,279
Speaker 2: of wind can easily make a stowaway fall to his

862
00:49:15,400 --> 00:49:19,000
Speaker 2: or her death because remember those wheels, they don't retract

863
00:49:19,080 --> 00:49:21,360
Speaker 2: up into the plane until that plane is fully taken

864
00:49:21,400 --> 00:49:24,160
Speaker 2: off and has been flying through the sky for quite

865
00:49:24,160 --> 00:49:26,680
Speaker 2: a while, and it's not a long time, but it's

866
00:49:26,719 --> 00:49:29,360
Speaker 2: not immediate, right. The wheels don't go up into the

867
00:49:29,360 --> 00:49:31,680
Speaker 2: plane as soon as it lifts off. So that's the

868
00:49:31,680 --> 00:49:36,279
Speaker 2: first problem, right, getting torn off of those wheels once

869
00:49:36,280 --> 00:49:38,200
Speaker 2: you grab on as the plane is going up into

870
00:49:38,200 --> 00:49:41,359
Speaker 2: the air. The second thing is when you do that

871
00:49:41,840 --> 00:49:44,040
Speaker 2: and the wheels were tracked in, you got to stay

872
00:49:44,280 --> 00:49:47,080
Speaker 2: in that landing gear area, which is a closed off

873
00:49:47,120 --> 00:49:50,759
Speaker 2: area and it's also very very tight. You can be

874
00:49:50,920 --> 00:49:55,120
Speaker 2: crushed in the confined space once the wheels retract, which

875
00:49:55,160 --> 00:49:59,439
Speaker 2: is a very common thing. Unfortunately, you can fall as

876
00:49:59,440 --> 00:50:03,000
Speaker 2: the plane is landing because remember when the plane's flying in,

877
00:50:03,160 --> 00:50:06,279
Speaker 2: it's still going at a pretty dang fast speed, and

878
00:50:06,320 --> 00:50:09,200
Speaker 2: those wheels go down and they're hanging out in the

879
00:50:09,239 --> 00:50:11,880
Speaker 2: air while you're flying through it for a while before

880
00:50:11,920 --> 00:50:14,520
Speaker 2: the plane actually you know, lands and makes contact with

881
00:50:14,600 --> 00:50:20,280
Speaker 2: the Earth. You can also die from the heat produced

882
00:50:20,280 --> 00:50:23,279
Speaker 2: by the engines of the aircraft while you're hanging out

883
00:50:23,280 --> 00:50:26,920
Speaker 2: in there. You can also die by hypothermia, which is

884
00:50:27,000 --> 00:50:29,879
Speaker 2: caused by the extreme cold when you're way up at altitude.

885
00:50:30,200 --> 00:50:33,400
Speaker 2: You can also die by hypoxia, which is not getting

886
00:50:33,520 --> 00:50:37,360
Speaker 2: enough oxygen supply. Because you're you're not in a sealed cabin.

887
00:50:37,440 --> 00:50:39,319
Speaker 5: They don't have to do any of that stuff in

888
00:50:39,400 --> 00:50:42,880
Speaker 5: the hold, right your luggage. You'll be just fine unless

889
00:50:42,920 --> 00:50:45,480
Speaker 5: you're stowing away in some luggage, you know. I mean,

890
00:50:45,680 --> 00:50:48,640
Speaker 5: that's I never thought about these things as fascinting, as

891
00:50:48,640 --> 00:50:50,560
Speaker 5: a whole nother world down there. Because either of you

892
00:50:50,600 --> 00:50:52,440
Speaker 5: guys ever been in the hold of a large aircraft

893
00:50:52,840 --> 00:50:55,840
Speaker 5: like George one or viewed one, I wouldn't.

894
00:50:56,040 --> 00:50:58,680
Speaker 4: I only you have, Okay, what would your experience with that.

895
00:50:59,640 --> 00:51:03,440
Speaker 3: H Well, luckily was not in it. It was in

896
00:51:03,640 --> 00:51:07,759
Speaker 3: air while it was in operation due to you know,

897
00:51:07,840 --> 00:51:12,880
Speaker 3: clearly the concerns about pressurization and other damaging or potentially

898
00:51:13,000 --> 00:51:17,080
Speaker 3: damaging health effects. I like it. It depends on the plane. Really,

899
00:51:17,440 --> 00:51:18,880
Speaker 3: Are there cuttings that kind of stuff?

900
00:51:18,920 --> 00:51:22,040
Speaker 4: Are things just like heaved in there. I guess they're.

901
00:51:21,880 --> 00:51:25,080
Speaker 3: Strapped down they are, okay, got it? Depend again depending

902
00:51:25,120 --> 00:51:26,720
Speaker 3: on the cargo, depending on the plane.

903
00:51:26,840 --> 00:51:31,520
Speaker 2: But uh yeah, And remember that cargo area that Ben

904
00:51:31,560 --> 00:51:34,560
Speaker 2: is describing there is separate from the wheel well many

905
00:51:34,600 --> 00:51:37,560
Speaker 2: times to where that's a whole separate, closed.

906
00:51:37,120 --> 00:51:40,279
Speaker 4: Off space, So you would not even make it to

907
00:51:40,320 --> 00:51:40,960
Speaker 4: the cargo hole.

908
00:51:41,000 --> 00:51:43,960
Speaker 5: You would be like literally hanging out in the wheel well.

909
00:51:44,000 --> 00:51:46,000
Speaker 3: Right, They're discrete parts of the.

910
00:51:46,080 --> 00:51:48,480
Speaker 2: Structure, exactly exactly.

911
00:51:48,600 --> 00:51:50,239
Speaker 5: I bet you even the cargo hole would have a

912
00:51:50,280 --> 00:51:54,000
Speaker 5: little climate control lest it mess up your keepsakes, you know,

913
00:51:54,040 --> 00:51:57,799
Speaker 5: if there are anything perishable perhaps, right, I'm just saying,

914
00:51:58,360 --> 00:52:00,320
Speaker 5: there would have to be something in that compartment that

915
00:52:00,360 --> 00:52:02,879
Speaker 5: would be different, a little more conducive to life than

916
00:52:02,920 --> 00:52:04,279
Speaker 5: in the fricking wheel well.

917
00:52:05,440 --> 00:52:07,920
Speaker 2: Well, I would love to hear from pilots out there

918
00:52:07,920 --> 00:52:11,759
Speaker 2: with lots of experience. In my understanding, there is some

919
00:52:12,200 --> 00:52:15,840
Speaker 2: sort of port access to that compartment of the plane

920
00:52:15,920 --> 00:52:19,799
Speaker 2: from the fuselage, from the area that is sealed off

921
00:52:19,840 --> 00:52:23,920
Speaker 2: and climate controlled and has what term am I missing here, guys,

922
00:52:23,960 --> 00:52:27,839
Speaker 2: where it's like pressurized pressurized there you go, because if

923
00:52:27,840 --> 00:52:30,239
Speaker 2: it wasn't pressurized down there, as well, or at least

924
00:52:30,280 --> 00:52:33,640
Speaker 2: to some extent, you open that hatch and then you

925
00:52:33,760 --> 00:52:37,279
Speaker 2: got serious problems. You're losing pressurization in the cabin, which

926
00:52:37,280 --> 00:52:40,120
Speaker 2: I imagine would be a problem in something they would

927
00:52:40,160 --> 00:52:44,160
Speaker 2: think about. I hope who knows, though, anybody out there

928
00:52:44,200 --> 00:52:47,080
Speaker 2: that knows tell us. Okay, guys, but here's the last

929
00:52:47,080 --> 00:52:51,279
Speaker 2: bit from that Annual Review twenty eleven quote. In some

930
00:52:51,719 --> 00:52:55,319
Speaker 2: eighty nine people on seventy nine flights have attempted to

931
00:52:55,360 --> 00:52:59,080
Speaker 2: fly in the wheel well or other compartment's exterior to

932
00:52:59,160 --> 00:53:04,879
Speaker 2: the aircraft excluding the cargo area. Of those eighty nine,

933
00:53:05,200 --> 00:53:10,200
Speaker 2: only eighteen survived. The eighty percent fatal twenty percent survival

934
00:53:10,280 --> 00:53:15,200
Speaker 2: rate is quite a stable statistic. These experiments of human nature,

935
00:53:15,520 --> 00:53:20,520
Speaker 2: while not considered scientifically sound, do contribute to our understanding

936
00:53:20,640 --> 00:53:23,319
Speaker 2: of human physiology in extreme environments.

937
00:53:23,400 --> 00:53:26,400
Speaker 5: It's the idiot test, right, Like I mean, it's basically

938
00:53:26,480 --> 00:53:30,240
Speaker 5: like you're using stats from people who have done really

939
00:53:30,320 --> 00:53:33,920
Speaker 5: dumb and gotten themselves killed to create a bigger picture,

940
00:53:33,960 --> 00:53:36,120
Speaker 5: a bigger understanding of the human body.

941
00:53:36,719 --> 00:53:40,239
Speaker 2: Well, remember this is an R and D annual review, right,

942
00:53:40,320 --> 00:53:43,160
Speaker 2: this is research and development. So the way they're thinking

943
00:53:43,160 --> 00:53:45,920
Speaker 2: about it, and even discussing it within the review itself

944
00:53:46,600 --> 00:53:50,640
Speaker 2: is from that research perspective, like, this is data that

945
00:53:50,680 --> 00:53:51,319
Speaker 2: we can use.

946
00:53:51,640 --> 00:53:53,239
Speaker 5: Well, they do say that you don't want to become

947
00:53:53,239 --> 00:53:54,480
Speaker 5: a statistic, don't they.

948
00:53:55,080 --> 00:53:57,000
Speaker 4: There's the very definition of that.

949
00:53:57,000 --> 00:54:00,600
Speaker 2: That expression reminds me of our discussions long time ago

950
00:54:00,640 --> 00:54:03,520
Speaker 2: about Unit seven thirty one, and just you know, once

951
00:54:03,560 --> 00:54:05,160
Speaker 2: we have this information, what do we do with it?

952
00:54:06,200 --> 00:54:09,640
Speaker 2: And hopefully we can use it to better things in

953
00:54:09,719 --> 00:54:13,839
Speaker 2: some way somewhat cobway. One other thing, as a this

954
00:54:13,920 --> 00:54:15,920
Speaker 2: is news that just popped up as we were recording.

955
00:54:16,440 --> 00:54:20,160
Speaker 2: A passenger was arrested after allegedly opening an emergency door

956
00:54:20,200 --> 00:54:22,279
Speaker 2: of a Jet Blue plane on a taxiway at a

957
00:54:22,280 --> 00:54:23,160
Speaker 2: Boston airport.

958
00:54:23,280 --> 00:54:25,520
Speaker 5: Don't act like you haven't thought about it. Don't act

959
00:54:25,560 --> 00:54:28,279
Speaker 5: like you haven't been tempted by that that whatever, that

960
00:54:28,360 --> 00:54:29,720
Speaker 5: bar that that switch.

961
00:54:30,200 --> 00:54:34,080
Speaker 2: Well, we wouldn't recommend it, Nope, especially if the plane

962
00:54:34,360 --> 00:54:37,440
Speaker 2: you know, is in flight, Like, definitely don't do that.

963
00:54:38,040 --> 00:54:40,400
Speaker 2: But in this case, it was taxiing right is on

964
00:54:40,440 --> 00:54:45,600
Speaker 2: a taxiway and the emergency door was open, allegedly, according

965
00:54:45,600 --> 00:54:49,320
Speaker 2: to NBC News and the writers there, it allegedly occurred

966
00:54:49,360 --> 00:54:53,280
Speaker 2: because a man was sitting with his female companion and

967
00:54:53,600 --> 00:54:57,600
Speaker 2: they were arguing because she wouldn't let him see her phone.

968
00:54:58,080 --> 00:55:01,600
Speaker 2: So he ran up, opened the emergent hatch, deployed you know,

969
00:55:01,640 --> 00:55:05,120
Speaker 2: the little slide thing, the inflatable slide, but then stayed

970
00:55:05,160 --> 00:55:07,520
Speaker 2: on the plane. Authorities came and got him and that

971
00:55:07,600 --> 00:55:07,919
Speaker 2: was it.

972
00:55:08,200 --> 00:55:12,440
Speaker 3: But hey, just be careful on planes, please please, and

973
00:55:12,560 --> 00:55:15,799
Speaker 3: please remember that sitting in the exit row is an

974
00:55:15,880 --> 00:55:19,960
Speaker 3: awesome responsibility. It's one of the best places to sit

975
00:55:20,000 --> 00:55:22,960
Speaker 3: on the plane, especially if things go wrong and you

976
00:55:23,040 --> 00:55:27,480
Speaker 3: don't like waiting in line. Hey put that diplomatically, but

977
00:55:27,560 --> 00:55:32,040
Speaker 3: do do realize that flight attendants are there primarily for

978
00:55:32,080 --> 00:55:34,879
Speaker 3: your safety. So when they ask you for that verbal yes,

979
00:55:35,800 --> 00:55:38,719
Speaker 3: don't you know, don't be cute. Just give them the

980
00:55:38,800 --> 00:55:42,160
Speaker 3: verbal yes. And if you need to move, move, fly safe.

981
00:55:42,000 --> 00:55:44,799
Speaker 5: Everyone for sure. They don't think it's cute. They've seen

982
00:55:44,800 --> 00:55:45,719
Speaker 5: it all before.

983
00:55:45,760 --> 00:55:50,640
Speaker 3: They've heard it all before. Right with this, we want

984
00:55:50,680 --> 00:55:52,719
Speaker 3: to hear new things. We want to hear new things,

985
00:55:52,800 --> 00:55:56,880
Speaker 3: specifically from you, whether or not you are a real

986
00:55:57,000 --> 00:55:59,640
Speaker 3: as our parlor and vogel Bam would say, actual facts,

987
00:56:00,280 --> 00:56:04,359
Speaker 3: human person meaning your meat mech or whether you're an

988
00:56:04,440 --> 00:56:07,520
Speaker 3: AI bot. Give us your thoughts on dead Internet theory

989
00:56:07,520 --> 00:56:10,880
Speaker 3: and the future thereof. Let us know your thoughts on

990
00:56:11,040 --> 00:56:18,600
Speaker 3: being Google ancient, led exposure, the talibonds, escalating policies against women,

991
00:56:19,120 --> 00:56:23,279
Speaker 3: tell us your flight stories, and again great appreciation and

992
00:56:23,360 --> 00:56:26,600
Speaker 3: thanks to mister Mike render Nole. How can people find

993
00:56:26,640 --> 00:56:28,640
Speaker 3: us if they want to reach out online and sip

994
00:56:28,680 --> 00:56:29,479
Speaker 3: some social media?

995
00:56:29,600 --> 00:56:32,800
Speaker 5: So many places reach out and touch us. Specifically, you

996
00:56:32,800 --> 00:56:34,640
Speaker 5: can find us in the handle Conspiracy Stuff where we

997
00:56:34,680 --> 00:56:38,319
Speaker 5: exist on x fka Twitter, which good on you x

998
00:56:38,320 --> 00:56:41,440
Speaker 5: for that. Community notes policy never been my platform of choice,

999
00:56:41,440 --> 00:56:44,000
Speaker 5: but I do think that's with all the bad news

1000
00:56:44,000 --> 00:56:45,880
Speaker 5: coming out of the Internet. You like to hear a

1001
00:56:45,920 --> 00:56:48,920
Speaker 5: Conspiracy Stuff show on x fka Twitter as well as

1002
00:56:48,920 --> 00:56:50,840
Speaker 5: Facebook with our Facebook group here is where it gets crazy.

1003
00:56:50,880 --> 00:56:53,120
Speaker 5: And on YouTube where we have video content Galora for

1004
00:56:53,160 --> 00:56:56,400
Speaker 5: your perusing enjoyment. On Instagram and TikTok we are Conspiracy

1005
00:56:56,400 --> 00:56:58,320
Speaker 5: Stuff Show, and if you'd like to reach us as individuals,

1006
00:56:58,400 --> 00:56:59,120
Speaker 5: you certainly may.

1007
00:56:59,280 --> 00:57:02,200
Speaker 4: You can find me inclusively on Instagram at how Now Noel.

1008
00:57:02,000 --> 00:57:05,080
Speaker 3: Brown, and you can meet me at your favorite crossroads

1009
00:57:05,280 --> 00:57:08,719
Speaker 3: midnight just say the right name into a mirror, or

1010
00:57:08,800 --> 00:57:12,080
Speaker 3: you can find me tiki traphouse at Instagram. Mutually is

1011
00:57:12,080 --> 00:57:15,480
Speaker 3: sure distraction at any place with an at or in

1012
00:57:15,520 --> 00:57:18,800
Speaker 3: a burst of creativity at Ben Bollen on Instagram, at

1013
00:57:18,800 --> 00:57:23,200
Speaker 3: bin Bolan hsw on various other platforms, or the website

1014
00:57:23,240 --> 00:57:25,480
Speaker 3: Benbolin dot com. Hey, Matt, what about you?

1015
00:57:25,960 --> 00:57:29,320
Speaker 2: My name is Matt Frederick and you can find me.

1016
00:57:30,520 --> 00:57:32,720
Speaker 4: Use your skills, use your context class.

1017
00:57:34,600 --> 00:57:36,920
Speaker 3: What if someone doesn't sip the social meds? What if

1018
00:57:36,960 --> 00:57:38,840
Speaker 3: they want to use a telephonic device.

1019
00:57:39,000 --> 00:57:41,760
Speaker 4: Honestly, that's the best way to get Matt. Let's not lie.

1020
00:57:42,120 --> 00:57:46,120
Speaker 2: Hey, that's the guy. Hey sometimes sometimes why not give

1021
00:57:46,240 --> 00:57:49,080
Speaker 2: us a call? Our number is one eight three three

1022
00:57:49,360 --> 00:57:54,760
Speaker 2: std WYTK. That is the voicemail system. If you call in,

1023
00:57:54,880 --> 00:57:58,160
Speaker 2: give yourself a cool nickname. Try and stick with it too,

1024
00:57:58,320 --> 00:57:59,760
Speaker 2: because we're gonna put you in the system as that.

1025
00:58:00,440 --> 00:58:02,400
Speaker 2: And it's great because then we know when you call,

1026
00:58:02,560 --> 00:58:03,200
Speaker 2: and then.

1027
00:58:03,840 --> 00:58:04,919
Speaker 4: We might call you back.

1028
00:58:05,360 --> 00:58:08,320
Speaker 2: Sh You've got three minutes say whatever you'd like. If

1029
00:58:08,320 --> 00:58:09,800
Speaker 2: you've got more to say than could fit in that

1030
00:58:09,840 --> 00:58:12,040
Speaker 2: three minutes, why not instead send us a good old

1031
00:58:12,080 --> 00:58:12,800
Speaker 2: fashion email.

1032
00:58:13,000 --> 00:58:16,320
Speaker 3: We are the entities that read every piece of correspondence

1033
00:58:16,360 --> 00:58:18,640
Speaker 3: we receive. We cannot wait to hear from you. Be

1034
00:58:18,760 --> 00:58:22,240
Speaker 3: well aware, yet unafraid. Sometimes the void writes back, and

1035
00:58:22,560 --> 00:58:25,280
Speaker 3: several of our fellow conspiracy realists in the audience can

1036
00:58:25,440 --> 00:58:29,720
Speaker 3: assure you this is the case. However, trust but verify.

1037
00:58:29,920 --> 00:58:32,520
Speaker 3: Don't take their word for it. Reach out to us,

1038
00:58:32,600 --> 00:58:34,320
Speaker 3: take us to the edge of the rabbit hole. We

1039
00:58:34,320 --> 00:58:36,439
Speaker 3: can all see it, we can all respond. We will

1040
00:58:36,480 --> 00:58:39,080
Speaker 3: do the rest. Join us out here in the dark

1041
00:58:39,280 --> 00:58:59,400
Speaker 3: conspiracy at iHeartRadio dot com.

1042
00:59:00,040 --> 00:59:02,840
Speaker 2: They Don't Want You To Know is a production of iHeartRadio.

1043
00:59:03,160 --> 00:59:07,320
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1044
00:59:07,400 --> 00:59:09,240
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