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Speaker 1: Thinking Sideways is not brought you by a severed head,

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Speaker 1: or maybe it is. I'm sure you've heard of this

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Speaker 1: cool new subscription service called Hunt a Killer, the interactive

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Speaker 1: investigation delivered to your doorstep each month. You should check

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Speaker 1: it out Hunt a Killer dot Com. Their form of

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Speaker 1: storytelling puts you into the serial killer's mind. It's like

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Speaker 1: you're living in your favorite true crime series. They've created

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Speaker 1: a fictional world for true crime fans. You actually live

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Speaker 1: inside of the story. And if investigating isn't your thing,

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Speaker 1: you probably know someone who would love this. As a gift,

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Speaker 1: as a special offer to our listeners, they provided us

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Speaker 1: with a temper set off code. That offer code is sideways.

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Speaker 1: So go to hunt a Killer dot com and enter

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Speaker 1: the code. Sideways. Thinking says I don't know stories of things.

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Speaker 1: We simply don't know the answer too. Hey guys, welcome

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Speaker 1: to another episode of Thinking Sideways the podcast. I am

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Speaker 1: Devin joined most weeks by and Steve. We're going to

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Speaker 1: talk about a mystery tonight. We are, Yeah, not surprising. Uh,

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Speaker 1: and I'm pretty sure actually this was a listener suggestion

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Speaker 1: at one point, but I can't find it on the

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Speaker 1: list So if it was I'm really sorry, mysterious listener

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Speaker 1: for not being able to find you. But if it wasn't,

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Speaker 1: yeah take it, yeah on the list. You probably can't

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Speaker 1: find it because it's misspelled. Probably that's what I was

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Speaker 1: wondering about, because I want looking for it too, and

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Speaker 1: I tried some different spellings. Couldn't you Oh sorry, whoever

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Speaker 1: you were, we probably would have misspelled your name anyway, yeah,

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Speaker 1: or mispronounced it that too. So this week we're going

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Speaker 1: to talk about this thing called the Marcovian parallax denigrade,

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Speaker 1: which you know, I think we'll probably call the mp

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Speaker 1: D works at that point mp D. Realistically, I'm not

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Speaker 1: going to say it too many times because it's just

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Speaker 1: a mouthful guy is uh. Yeah, I've been pondering the

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Speaker 1: meaning of it all. Yeah. So the quick there's a

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Speaker 1: quick overview here kind of and that is that we're

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Speaker 1: going to talk about the Internet or the pre Internet.

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Speaker 1: We're really just like pre internet spam. I don't know,

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Speaker 1: I don't feel like there's a very good yeah, Pretmordal spam.

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Speaker 1: It's amazing how quickly somebody thought about spam and average Yeah,

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Speaker 1: that didn't even exist and it came up with it already. Yeah. Yeah,

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Speaker 1: so I'm I don't think there's actually a really good short,

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Speaker 1: you know, cliff notes of this. So do you guys

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Speaker 1: want to just jump right in? That's probably the best way. Okay, cool.

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Speaker 1: I will say that there's somebody in the middle of it,

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Speaker 1: but we'll talk about that later. And this is often

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Speaker 1: called one of the very first Internet mysteries, which means

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Speaker 1: that I've finally done it. You found the very first

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Speaker 1: found the first Internet mystery. That's so early the Internet

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Speaker 1: didn't really quite exist. It wasn't really the Internet. Yeah. Actually,

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Speaker 1: so we are going to talk about this thing that's

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Speaker 1: pre Internet. It's called u senet. That's how you say, right,

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Speaker 1: is it usenet or use net? That is a good question.

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Speaker 1: I've I've wondered about this for years. It was because

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Speaker 1: use as it if it started with an age almost

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Speaker 1: use or is it? Yeah? I think it's using that

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Speaker 1: just because that's easier to pronounce. Yeah, So it was

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Speaker 1: used that was usc was at a an acronymic for

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Speaker 1: university something or another? Or was it just use as

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Speaker 1: in use We're going to use this net? Or did

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Speaker 1: it have a use? Another mystery also useless net. Yeah,

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Speaker 1: that's where your wife goes down. I think maybe it

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Speaker 1: was the user network you snet with my guests, but

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Speaker 1: I don't Please don't quote me on that, And if

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Speaker 1: somebody knows, please don't like make fun of me for

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Speaker 1: not knowing, because I'm sorry. I never saw call that

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Speaker 1: really said. That's why I was curious. Yeah, this use

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Speaker 1: net or us net was created in nineteen seventy nine,

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Speaker 1: though it didn't really it was. It was like conceptualized

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Speaker 1: in nineteen seventy nine and then became publicly quote unquote

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Speaker 1: publicly available in nineteen eighty. As with the real Internet,

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Speaker 1: usenet was made for universities. The University of North Carolina

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Speaker 1: and Duke University were the first early adopters of this system.

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Speaker 1: And just for those of you who don't know, the

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Speaker 1: Worldwide Web, which is the Internet, is a weird thing.

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Speaker 1: I don't think people conte of the Internet a lot,

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Speaker 1: but the like, there are parts of the Internet that

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Speaker 1: we don't know exists. There's like quantum Web and all

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Speaker 1: this stuff. It's really fascinating. If you're interested in you

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Speaker 1: should go read on it. But the world Wide Web

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Speaker 1: is something that's slightly different from the Internet even but

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Speaker 1: the Worldwide Web took shape in nineteen UM and that

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Speaker 1: was like the first direct I P connection between Europe

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Speaker 1: and North America. That's when that first I P connection

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Speaker 1: was established. Was an eight eight, So use not it

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Speaker 1: is about eight years ahead of its time. And granted

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Speaker 1: there there were some other kind of proto Internet network

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Speaker 1: situations before then, dating back to I think the fifties. Yeah,

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Speaker 1: in nineteen I think military or just like on site

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Speaker 1: local networks that were all connected to each other. And

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Speaker 1: then yeah, even before the Internet, there was stuff like

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Speaker 1: just you call bbs as if you had a modems

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Speaker 1: remember modums? Yeah, yeah, yeah, I remember thinking, man, how

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Speaker 1: could they get any faster? Oh yeah, no, I had

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Speaker 1: that three hundred bod motive and I would dial with

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Speaker 1: these bbs as and stuff, and I'm watching the characters

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Speaker 1: across the screen. And then I upgraded. Oh wow, it

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Speaker 1: was so cool. Yeah. I remember the pain of trying

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Speaker 1: to watch an image appear. Yeah, like it wasn't even

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Speaker 1: you know, I was young enough, it wasn't even it

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Speaker 1: was anything dirty. I'm on National Geographic looking at giraffes

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Speaker 1: Man and Carter Gotta take forever. Yeah. For the layman,

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Speaker 1: we can say that you snet was just like a

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Speaker 1: mail server. It was part mail server, part file transfer,

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Speaker 1: and part kind of announcement board that'd be similar to

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Speaker 1: an early forum situation, kind of like Reddit or like

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Speaker 1: the bulletin board for that way. They were kind of

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Speaker 1: like forums also. So my real quick question because of

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Speaker 1: course now you can't see images of this stuff very easily.

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Speaker 1: But most of what I understand is it was purely

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Speaker 1: character driven. It was text driven. It wasn't like today

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Speaker 1: where there's words and picture. Yeah, there's no, it's just works.

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Speaker 1: I think they're Sometimes they had like you know, a

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Speaker 1: bumper um maybe maybe a border around something, but I

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Speaker 1: don't even think that. I think it was like asky

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Speaker 1: imagery was imagery. Yeah, it was totally just text based, Okay,

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Speaker 1: I just I was pretty sure that, but I wanted

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Speaker 1: to double check. Just being as old as it was,

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Speaker 1: that's pretty sure that couldn't be supported. He probably could

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Speaker 1: use like FTP do since images not huge high res ones,

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Speaker 1: but but that would have been that wouldn't have been

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Speaker 1: on the announcement bulletin board sort of situation. That would

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Speaker 1: have had to have been filed trans something you got

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Speaker 1: to explicitly say. I want to transfer this to my

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Speaker 1: own ready Are you ready? Are you ready for this

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Speaker 1: incoming thing? Because it's going to take up all your

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Speaker 1: right out. Actually it was probably faster at that point

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Speaker 1: just to put it on the three and a half

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Speaker 1: inch floppy drive and mail it too, printed out line

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Speaker 1: by line. It's hard. It's sorry for our listeners, who

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Speaker 1: are all young whipper snappers to appreciate this. Yeah, becaun

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Speaker 1: use is I know that a number of our listeners

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Speaker 1: are not so many of them will remember stuff like that.

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Speaker 1: All right, so old people, should we get back to

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Speaker 1: the story. Yeah, yeah, Oh no. I was doing a

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Speaker 1: little searching for the for information on this one and

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Speaker 1: on our pannet well on the Markovian denigrade in general,

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Speaker 1: and and I came across this paper. It was an

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Speaker 1: academic paper. Uh. They were talking about the relationship between

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Speaker 1: usenet and the DARPA DARPA neet. And because in those

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Speaker 1: days using it was always trying to interface and interact

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Speaker 1: with darpaennet and darpnet was or arpanet. I guess, yeah,

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Speaker 1: I would be. I guess it would be our pay Okay,

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Speaker 1: so the ARPA they would be trying to get into

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Speaker 1: our pen and and and and arponnet was very very exclusive,

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Speaker 1: very choosy for obvious security reasons. About the arpanet, for

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Speaker 1: those who are unaware, is a packet switching network that

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Speaker 1: was It was for the military, basically the advanced research projects. Yeah,

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Speaker 1: and and so uh this paper was it was hilarious

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Speaker 1: because it was all about the relationship between the two

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Speaker 1: and how it was an example of like sort of

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Speaker 1: gender bias because to them, the authors of this paper,

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Speaker 1: who were obviously somewhere from like, you know, the the

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Speaker 1: fever swamps of academia, ARPA represented like the masculine, and

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Speaker 1: he was using at the feminine trying to get access

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Speaker 1: and he was going ah no, and and just being

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Speaker 1: mean for the And this is this is somebody who

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Speaker 1: in one of our universities writing a huge freaking research

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Speaker 1: paper on this issue of ARPA being mean and kind

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Speaker 1: of like masculine. So it's not a new issue. Kids

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Speaker 1: have always been always been here. Yeah yeah. So and

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Speaker 1: you know, where there is electronic mail, there is spam naturally,

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Speaker 1: of course, and you set had a mail system and

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Speaker 1: a forum system, which we're kind of it's my understanding

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Speaker 1: that the way that replies worked is it was kind

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Speaker 1: of like emailing to the board almost because it was

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Speaker 1: your user name was your email address. Basically, I don't

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Speaker 1: know if you could like email somebody specifically back or

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Speaker 1: if it just got posted publicly to the board. It did,

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Speaker 1: but I think it was like through the email. It's

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Speaker 1: hard to really gradually how it works. Yeah, but what

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Speaker 1: was really nice about the system is there were no

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Speaker 1: links that you could click on. Yeah, so that's a

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Speaker 1: really great thing. It's like, hey, your password is all

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Speaker 1: messed up, click on this link and give us your password,

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Speaker 1: will fix everything that None of that exactly. So in

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Speaker 1: uh usenet developed a unique spam issue, and it was

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Speaker 1: spam on its news feeds in the comments section, mostly

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Speaker 1: comment words, but also on boards. News feeds were servers specific.

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Speaker 1: So the way that use networked is that each each

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Speaker 1: like little community, had its own server, but the servers

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Speaker 1: talked to each other. So you would get if somebody

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Speaker 1: posted something on like the Everybody news bulletin, you could

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Speaker 1: specify that that news bulletin would be shared on all

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Speaker 1: of the servers. They would communicate and yeah, kind of

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Speaker 1: infect each other almost, which is kind of what happened

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Speaker 1: with this. Well, these I guess the posts were subjected

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Speaker 1: Marcovian parallax denigrade post. Yeah, the spam posts and the

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Speaker 1: text of these spam messages were all different. They were

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Speaker 1: there reportedly hundreds, like within just on one day on

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Speaker 1: August five. Yeah, that this happened. Um, most of them

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Speaker 1: were subjected um Marcovian parallax denigrade, but some of them

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Speaker 1: just had those words in them that people kind of

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Speaker 1: attribute those two maybe being part of this as well,

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Speaker 1: but it's hard to tell. And the messages looked sounded

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Speaker 1: something like this, I'm going to have one. They are

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Speaker 1: real words random, Um, so I'm gonna have one of

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Speaker 1: you guys read this thing. Okay, Okay, we got a

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Speaker 1: Rochambeau for this, alright, I get it. Okay, go for it. JENNERB. McKinley,

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Speaker 1: A Break, Newtonian infer Ca, Update, Co and Air Collaborate, Ruse, Sportswriting, Rococo, Invocate, Tassel,

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Speaker 1: shad Flower, Debbie Sterling, Pathogenesis, es Gutar, Adventitious, Novo I

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Speaker 1: T T Most Chairperson, D White, Hurtzag Differ, Pinpoint, Dunc, McKinley, Pendent, Firelight, Uranus,

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Speaker 1: episodic medicine, Diddy, crag flogging, very Act, Brotherhood, Web Impromptu file, countenance, Inheritance, cohesion, refrigerate, morphine,

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Speaker 1: napkin in late Gennaro namable yearbook hark. Okay, first off,

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Speaker 1: you miss pronounced rococo. Of all the things I miss pronouncing, there,

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Speaker 1: that's the one you go for. Okay, that really bothered me. Now,

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Speaker 1: listeners you listen to this podcast, please please take a

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Speaker 1: time go back thirty seconds and listen to it again.

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Speaker 1: Listen to it like five times in a row. Actually, please,

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Speaker 1: somebody make that your ringtoe. Yeah, you are going to

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Speaker 1: confuse yeah for real. So you, like us, probably immediately

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Speaker 1: assumed that this is a code of some kind. Um,

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Speaker 1: try to grab it. Let me put this on the

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Speaker 1: back burner. I gave it about ten seconds that I

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Speaker 1: decided that it's not worth it. They gave it more

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Speaker 1: than that. But let's put it on the But let's

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Speaker 1: put it on the back burner and we'll talk about

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Speaker 1: it in theories. Okay. The users of you Senet, predictably

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Speaker 1: were the same type of people who are users of

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Speaker 1: like Reddit these days, and predictably, when there were hundreds

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Speaker 1: of these gibberish messages spamming the daylights out of them.

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Speaker 1: They decided to take action and launch a full armchair investigation.

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Speaker 1: I mean they lost their minds. Yeah, I think they did.

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Speaker 1: They a lot of them did, and just like the

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Speaker 1: users have read it, they lost interest, like within two days.

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Speaker 1: This is not the sort of thing that really grips

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Speaker 1: you and holds you for a long time. Yeah, it's

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Speaker 1: not just why we're doing an episode on it. Interestingly,

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Speaker 1: I mean for these guys, really it was. You got

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Speaker 1: to remember that this was like probably the first mass

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Speaker 1: spamming out there, so we're totally used to it now

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Speaker 1: we just ignore it. But for these guys, it probably

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Speaker 1: was an interesting phenomenon. Yeah, it probably, I think, Um,

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Speaker 1: you know, one of the things that a lot of

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Speaker 1: people just assume is like, hey, okay, somebody's messing up.

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Speaker 1: Something messed up. You know, the way that that file

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Speaker 1: got transferred to my server is scrambled, so whoops. Well,

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Speaker 1: but then when they started talking, they were like, no, no, no,

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Speaker 1: these things are shown up everywhere, and so they were

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Speaker 1: a little intrigued, but they didn't really get very far

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Speaker 1: and the story just kidding not quiet. Ten years later

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Speaker 1: and ten years ago from from when we're recording now.

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Speaker 1: So even longer the Internet was had matured somewhat, it

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Speaker 1: had become the Internet. Let's be honest, the internet has

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Speaker 1: never you know, it's interesting. I can't remember the guy's name.

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Speaker 1: It was like an academic type guy, and he was

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Speaker 1: talking about the future of this internet thing, you know,

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Speaker 1: that was going to come up with all these people

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Speaker 1: or whatever his name is, I can't remember, but he

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Speaker 1: was talking about what it's gonna be like. It's like

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Speaker 1: to be all these all these these people that will

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Speaker 1: be online, and because everybody has shares the same interests,

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Speaker 1: and because everybody wants to be there, it will be

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Speaker 1: a very positive community. And I know who you're talking about,

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Speaker 1: and you can't read it without laughing. Yea wrong, h yeah,

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Speaker 1: sorry dude, that one didn't come true. So ten years

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Speaker 1: later and ten years ago, oh yeah, our forefathers. Yeah,

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Speaker 1: websites like you know cracked. Cracked was pretty popular about

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Speaker 1: ten years ago. They're still pretty popular, but they were

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Speaker 1: really popular then, uh started the trend of the list

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Speaker 1: based articles. One of the most popular type was like, hey,

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Speaker 1: five Wikipedia articles to give you the creeps, which he

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Speaker 1: got this new thing number Three's amazing. They weren't titling

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Speaker 1: them like that, which was great. I missed those days.

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Speaker 1: I hate those miss those days. Those articles still come

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Speaker 1: up when talking about the number three will amaze you. Yeah,

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Speaker 1: I miss the days when we didn't. Yeah yeah, crack

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Speaker 1: does not do that. I want to say it. Everybody

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Speaker 1: else does that, you know what? Okay, so can I can?

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Speaker 1: I just make a complaint real quick about the internet.

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Speaker 1: But I don't understand. It's just one thing, just one thing.

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Speaker 1: This is just the only thing I'm gonna complain about

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Speaker 1: at the moment is that I will see an article

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Speaker 1: and I was think, okay, I'll look at it. I

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Speaker 1: know it's clickbait, and the thing that they are putting

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00:16:37,640 --> 00:16:41,320
Speaker 1: in the very beginning to entice you to click is

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00:16:41,600 --> 00:16:46,120
Speaker 1: never actually in the list. Oh yeah no. And I

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Speaker 1: was looking at one of those just yesterday. It was

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00:16:47,840 --> 00:16:50,960
Speaker 1: like it was like eleven NFL players and they're fantastic

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00:16:51,080 --> 00:16:54,120
Speaker 1: stupid mansions. Yes, And it had this this aerial photo,

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Speaker 1: this incredible mansion that's surrounded by a man made lake

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00:16:58,080 --> 00:17:00,600
Speaker 1: with these man made islands and it and it was

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Speaker 1: not in the article. So it's not dumb. It's annoying.

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Speaker 1: Rain in Oh yeah, sorry, that creepy Wikipedia articles, you know,

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Speaker 1: the articles about creepy Wikipedia articles included one of them.

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Speaker 1: I don't and I wasn't able to find the original one,

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Speaker 1: but it included the Wikipedia page of Marcovian Parallax denigrade.

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Speaker 1: When you say you couldn't find the cracked list, I

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00:17:28,320 --> 00:17:30,480
Speaker 1: couldn't find whatever the list that it was on it

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00:17:30,560 --> 00:17:32,159
Speaker 1: was featured on. I'm sure it was featured on a

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00:17:32,240 --> 00:17:39,240
Speaker 1: number of them. The Wikipedia page for MPD was deleted

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00:17:39,359 --> 00:17:44,639
Speaker 1: because there were quote no sources. Furthermore, Wikipedia states that

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00:17:44,840 --> 00:17:47,960
Speaker 1: the mere existence of this spam doesn't really mean that

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00:17:48,040 --> 00:17:51,560
Speaker 1: there should be a Wikipedia article on it, which I

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00:17:51,600 --> 00:17:55,520
Speaker 1: guess is fair. I'm sorry. I looked at the Wikipedia

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00:17:55,560 --> 00:17:59,080
Speaker 1: page it was. It was pretty bad. I've seen worse, though,

296
00:17:59,440 --> 00:18:03,600
Speaker 1: and there's still around. So those are usually self curated pages.

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Speaker 1: The ones that are worse than this are the ones.

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00:18:05,920 --> 00:18:08,040
Speaker 1: I'm an actor and I'm going to write all about

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00:18:08,040 --> 00:18:12,840
Speaker 1: myself in the third person. Yeah. Uh So this Wikipedia

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00:18:13,000 --> 00:18:15,320
Speaker 1: article was, as far as I can tell in the

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00:18:15,359 --> 00:18:19,840
Speaker 1: way back machine, was created on September four, and then

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00:18:19,880 --> 00:18:23,640
Speaker 1: it was deleted finally on May tenth, two thousand nine,

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00:18:23,720 --> 00:18:28,680
Speaker 1: from Wikipedia. I guess remember that date it's very vaguely important.

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00:18:28,800 --> 00:18:32,240
Speaker 1: Maybe could be important, could be interesting in one of

305
00:18:32,320 --> 00:18:36,000
Speaker 1: our theories. All right, and it won't surprise you that

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00:18:36,560 --> 00:18:39,480
Speaker 1: seven chan got ahold of this tidpit and decided to

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00:18:39,520 --> 00:18:43,320
Speaker 1: start digging. You're gonna tell us about seven chan and

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00:18:43,400 --> 00:18:45,240
Speaker 1: four chan, and yeah, we're just going to take a

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Speaker 1: quick little detour on our tour of the internet. Seven

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Speaker 1: chan is kind of related to four chan. The chans

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00:18:53,160 --> 00:18:57,080
Speaker 1: quote unquote, there are many started out as two chan

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Speaker 1: dot net, which was an image board based out of

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Speaker 1: jap and uh, four chan was the Western version of

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Speaker 1: Japan's two chan. Yeah, I did not know that. And

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00:19:07,480 --> 00:19:12,840
Speaker 1: then and then seven chan is kind of seven chan

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00:19:13,000 --> 00:19:14,560
Speaker 1: is kind of the rival of four chan. They have

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00:19:14,720 --> 00:19:17,920
Speaker 1: like civil wars back and forth, blah blah blah. Um

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00:19:19,200 --> 00:19:21,840
Speaker 1: it's a prime number. I don't know. They both exist

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00:19:22,280 --> 00:19:26,880
Speaker 1: on this kind of limbo area between the Internet as

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00:19:27,000 --> 00:19:30,199
Speaker 1: like fear the government and stuff and just use our

321
00:19:30,280 --> 00:19:32,840
Speaker 1: normal browsing and every once in a while incognito mode.

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Speaker 1: Um where we exist on the Internet and where the

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00:19:37,440 --> 00:19:43,120
Speaker 1: deep web is dark web deep webs. Between the dark

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00:19:43,160 --> 00:19:46,440
Speaker 1: and the deep there's a there's a difference. Yes, So

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00:19:46,720 --> 00:19:50,400
Speaker 1: the chance kind of exist in this middle ground where

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00:19:50,560 --> 00:19:53,800
Speaker 1: you a lot of the content, especially if you're browsing,

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00:19:53,920 --> 00:19:58,200
Speaker 1: you don't necessarily want to just go do you. Definitely

328
00:19:58,240 --> 00:19:59,959
Speaker 1: don't do it on at work, although I will tell

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00:20:00,359 --> 00:20:02,159
Speaker 1: that my place of work, I didn't know I was

330
00:20:02,200 --> 00:20:04,080
Speaker 1: clicking on a link that was taking me to seven chan.

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00:20:04,960 --> 00:20:09,760
Speaker 1: Check your links, guys. Um, but I was allowed to

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00:20:09,840 --> 00:20:12,600
Speaker 1: get onto this board in the media. Was like no, no, no, no, no, right,

333
00:20:13,160 --> 00:20:15,840
Speaker 1: but there's a firewall at work that won't allow me

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00:20:15,880 --> 00:20:19,040
Speaker 1: to go on to college humor. It doesn't exist for

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00:20:19,800 --> 00:20:24,480
Speaker 1: seven apparently, Yeah, the same stupid yea yeah. Um. I

336
00:20:24,560 --> 00:20:26,760
Speaker 1: think they just assumed, like, well, nobody would be so

337
00:20:27,040 --> 00:20:29,760
Speaker 1: dumb to go on the four chan and seventh chan.

338
00:20:30,040 --> 00:20:33,680
Speaker 1: They yeah, but but just don't I mean don't probably

339
00:20:33,720 --> 00:20:35,960
Speaker 1: don't do it at work, I mean, you know whatever.

340
00:20:36,240 --> 00:20:39,240
Speaker 1: Basically seven chan is like pretty lax on the law

341
00:20:39,400 --> 00:20:45,000
Speaker 1: following it's it's all anonymous based, um, and they anything

342
00:20:45,080 --> 00:20:47,520
Speaker 1: goes as far as posting it was just like run

343
00:20:47,600 --> 00:20:51,960
Speaker 1: by the FBI or something probably yeah. Yeah. Also, in

344
00:20:52,000 --> 00:20:54,080
Speaker 1: the interest of protecting the show, just real quick, I

345
00:20:54,119 --> 00:20:56,280
Speaker 1: will say that I have no side in the four

346
00:20:56,400 --> 00:21:00,680
Speaker 1: chan and seven chan war, so please just ignore gass. True. No,

347
00:21:00,760 --> 00:21:02,720
Speaker 1: I actually I've heard of you guys, but I really

348
00:21:02,760 --> 00:21:05,040
Speaker 1: don't care one way or the other. So yeah, cool,

349
00:21:05,240 --> 00:21:06,760
Speaker 1: and I wish you both well, and I'm sure you're

350
00:21:06,760 --> 00:21:11,040
Speaker 1: both both sides are right. Some blogs that I think

351
00:21:11,160 --> 00:21:14,960
Speaker 1: saw this stuff on seven chan started to do research,

352
00:21:15,080 --> 00:21:17,159
Speaker 1: none of which I can find actual links too, but

353
00:21:17,280 --> 00:21:19,359
Speaker 1: I can't follow dead links too, So I don't think

354
00:21:19,400 --> 00:21:22,480
Speaker 1: these blogs exist anymore, which is fine. It's been ten years.

355
00:21:23,760 --> 00:21:26,239
Speaker 1: I don't expect them to. I think they started doing

356
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Speaker 1: research in late two thousand eight. Then in spring of

357
00:21:29,720 --> 00:21:31,800
Speaker 1: two thousand nine, one of the bloggers was able to

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00:21:31,920 --> 00:21:37,000
Speaker 1: find um one remaining post spam post thanks to Google,

359
00:21:37,480 --> 00:21:41,560
Speaker 1: because Google has actually retained public archives of a lot

360
00:21:41,640 --> 00:21:44,720
Speaker 1: of Usenet stuff. So there was only one surviving piece

361
00:21:44,760 --> 00:21:48,200
Speaker 1: of this copy of the spam on the interwebs, and

362
00:21:48,280 --> 00:21:50,320
Speaker 1: the one that we read that was it. Yeah, there

363
00:21:50,359 --> 00:21:52,720
Speaker 1: were a couple that they found that weren't that didn't

364
00:21:52,760 --> 00:21:56,080
Speaker 1: have the subject line, that just had one word maybe interspersed.

365
00:21:56,480 --> 00:21:59,400
Speaker 1: But of the this specific one, there's only the one

366
00:21:59,440 --> 00:22:03,080
Speaker 1: that exists down. We've retained one copy of this spam

367
00:22:03,160 --> 00:22:09,919
Speaker 1: message and one copy of the small box. Well, it's important.

368
00:22:09,960 --> 00:22:11,960
Speaker 1: I'd like to preserve this for I don't know if

369
00:22:12,000 --> 00:22:14,159
Speaker 1: there's one yet, but there should be a museum of

370
00:22:14,280 --> 00:22:16,760
Speaker 1: spam on the Internet. I agree, Yeah, totally out of

371
00:22:16,800 --> 00:22:18,640
Speaker 1: b and there will be if there's some one already.

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00:22:19,119 --> 00:22:23,320
Speaker 1: Wow okay, yeah, um, but actually that's a good idea.

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00:22:23,600 --> 00:22:26,520
Speaker 1: Like so, Google does have a public archive of like

374
00:22:26,680 --> 00:22:29,119
Speaker 1: you snet stuff. It's pretty interesting. Actually, you can actually

375
00:22:29,160 --> 00:22:31,000
Speaker 1: get a bit of a sense of what it was

376
00:22:31,080 --> 00:22:36,200
Speaker 1: like a little bit the message was from again, because

377
00:22:36,240 --> 00:22:38,159
Speaker 1: they had to have the email address associated with this

378
00:22:39,040 --> 00:22:44,240
Speaker 1: from Susan Lindauer at w O r F dot u

379
00:22:44,960 --> 00:22:51,160
Speaker 1: WSP dot e DU who's like display name was Chris Brokerage. Actually,

380
00:22:51,359 --> 00:22:55,440
Speaker 1: but that's interesting. It seems that within maybe a week

381
00:22:56,359 --> 00:22:59,760
Speaker 1: of the discovery of this email address being connected to

382
00:22:59,840 --> 00:23:03,400
Speaker 1: that original spam post, the Wikipedia page was taken down.

383
00:23:03,960 --> 00:23:06,879
Speaker 1: This this bit of spam from this email address. This

384
00:23:07,080 --> 00:23:11,800
Speaker 1: is from August. It's from that August fifth state that

385
00:23:11,960 --> 00:23:15,360
Speaker 1: they all had the big batch happened. Okay. The action

386
00:23:15,520 --> 00:23:20,760
Speaker 1: of deleting this Wikipedia page was kind of swift. I mean,

387
00:23:21,280 --> 00:23:24,680
Speaker 1: they do have this action in the Wikipedia process that's

388
00:23:24,680 --> 00:23:27,240
Speaker 1: called swift deletion, and it's for things that are really

389
00:23:27,280 --> 00:23:30,520
Speaker 1: really offensive or awful, and that usually they usually get

390
00:23:30,560 --> 00:23:34,479
Speaker 1: within twenty four hours they'll delete those, but this one

391
00:23:34,520 --> 00:23:36,840
Speaker 1: they didn't do that, but they did within a week.

392
00:23:37,119 --> 00:23:39,719
Speaker 1: It was actually a pretty swift for Wikipedia, because I mean,

393
00:23:39,760 --> 00:23:43,480
Speaker 1: I've watched them, and I've watched or looked at some

394
00:23:43,560 --> 00:23:46,760
Speaker 1: of the logs of the various debates this or not yea,

395
00:23:46,920 --> 00:23:48,959
Speaker 1: sometimes the debate can go on for a while, yea.

396
00:23:49,119 --> 00:23:51,960
Speaker 1: So the way that this one, the way that this

397
00:23:52,080 --> 00:23:55,359
Speaker 1: one happened is two Wikipedia users suggested that the article

398
00:23:55,440 --> 00:23:58,200
Speaker 1: be deleted less than within less than twenty four hours

399
00:23:58,280 --> 00:24:01,160
Speaker 1: of each other, and then less than a week after

400
00:24:01,240 --> 00:24:04,159
Speaker 1: that it was permanently deleted. So somebody who new Susan

401
00:24:04,240 --> 00:24:07,439
Speaker 1: maybe maybe I don't know, and Joe kind of dropped

402
00:24:07,440 --> 00:24:09,240
Speaker 1: a little bit of a bombshell. But some of you

403
00:24:09,400 --> 00:24:11,720
Speaker 1: may be yelling at me right now because I've totally

404
00:24:11,760 --> 00:24:15,879
Speaker 1: glossed over that email address. Okay, I'm gonna start right

405
00:24:15,920 --> 00:24:19,240
Speaker 1: here with a caveat that says, this episode is not

406
00:24:19,280 --> 00:24:23,119
Speaker 1: about nine eleven. This episode is not about eleven. This

407
00:24:23,200 --> 00:24:26,120
Speaker 1: episode is not brought to you about an eleven. It's

408
00:24:26,160 --> 00:24:30,760
Speaker 1: not about Truthers, it's not about anything like that. So

409
00:24:31,400 --> 00:24:34,000
Speaker 1: don't send us emails about that stuff. We're just talking

410
00:24:34,040 --> 00:24:39,080
Speaker 1: about this one person. Don't go. Yeah, actually, we do

411
00:24:39,160 --> 00:24:41,520
Speaker 1: have an email address if you want to talk about eleven.

412
00:24:41,720 --> 00:24:45,840
Speaker 1: It's called bouncing right back to you that comment. Yeah,

413
00:24:46,000 --> 00:24:48,280
Speaker 1: and if you don't get through right away, keep trying. Yeah,

414
00:24:48,720 --> 00:24:51,280
Speaker 1: but yeah, you can reach us there for sure. Yeah, definitely,

415
00:24:51,359 --> 00:24:55,440
Speaker 1: it'll get straight to us. Okay, but fine. The name

416
00:24:55,640 --> 00:25:00,159
Speaker 1: Susan Lindower may be familiar to you in that she

417
00:25:00,400 --> 00:25:05,800
Speaker 1: is an anti war activist and intense conspiracy theorist. Very much.

418
00:25:06,040 --> 00:25:09,520
Speaker 1: She has also been a journalist, a US congressional staffer,

419
00:25:09,800 --> 00:25:13,119
Speaker 1: and she is an author. Susan is the daughter of

420
00:25:13,320 --> 00:25:17,119
Speaker 1: former Republican nominee for the governor of Alaska, and his

421
00:25:17,240 --> 00:25:21,480
Speaker 1: name was also Susan. Um. She started out as a

422
00:25:21,560 --> 00:25:26,120
Speaker 1: journalist and then worked as a congressional staffer for two

423
00:25:26,280 --> 00:25:32,600
Speaker 1: Oregon reps. Actually Congressman Peter DeFazio ron Widen a senator

424
00:25:32,680 --> 00:25:34,879
Speaker 1: now too, by the way, he has and he's great.

425
00:25:35,880 --> 00:25:39,920
Speaker 1: I don't know about that then. Um. She she was

426
00:25:40,080 --> 00:25:44,560
Speaker 1: the press secretary for two other Democrats in Congress until

427
00:25:44,600 --> 00:25:47,760
Speaker 1: two thousand two. Yeah, something happened between two thousand one

428
00:25:47,800 --> 00:25:50,280
Speaker 1: and two thousand two. I'm not sure, something about like

429
00:25:50,359 --> 00:25:57,480
Speaker 1: a band sob in. Just after finishing up working for

430
00:25:57,600 --> 00:26:00,600
Speaker 1: Senator what sorry it was congressman wide at that point,

431
00:26:01,720 --> 00:26:06,639
Speaker 1: she started to socialize with some people, most notably Dr

432
00:26:06,840 --> 00:26:12,520
Speaker 1: Richard Fuize that pounced, who is famous mostly for his patent. Yeah,

433
00:26:12,520 --> 00:26:14,240
Speaker 1: I gotta say, you know, this guy has a wicked

434
00:26:14,320 --> 00:26:17,440
Speaker 1: page and he is what truly a renaissance man, I

435
00:26:17,440 --> 00:26:20,119
Speaker 1: would say, because he's a physician, also an inventor, and

436
00:26:20,200 --> 00:26:24,640
Speaker 1: a very successful businessman and apparently a spy. Yeah, he's

437
00:26:24,680 --> 00:26:28,280
Speaker 1: somehow apparently connected to the U. S. Counterintelligence. Can I

438
00:26:28,359 --> 00:26:31,879
Speaker 1: just say something about the whole renaissance man thing. He

439
00:26:32,200 --> 00:26:37,080
Speaker 1: may actually just be very good at getting his name

440
00:26:37,200 --> 00:26:40,680
Speaker 1: on patents. Show that I work at a place that

441
00:26:40,760 --> 00:26:43,879
Speaker 1: files a lot of patents, and there are certain guys

442
00:26:44,119 --> 00:26:48,879
Speaker 1: who you can tell get consulted on things all the

443
00:26:49,040 --> 00:26:51,680
Speaker 1: time and therefore get their name on it, because there's

444
00:26:51,680 --> 00:26:53,359
Speaker 1: no way with the work that I know that they do,

445
00:26:54,040 --> 00:26:59,320
Speaker 1: that they could have that many freaking patents. In short,

446
00:27:00,560 --> 00:27:03,119
Speaker 1: it might be renaissance man. It's maybe over stated a

447
00:27:03,160 --> 00:27:05,119
Speaker 1: little bit, but all I want to say is this

448
00:27:05,240 --> 00:27:09,679
Speaker 1: guy really impressive he's got an impressives and a lot

449
00:27:09,760 --> 00:27:13,000
Speaker 1: of piles. I mean, really, wouldn't you say? Yeah? Yeah. So,

450
00:27:13,520 --> 00:27:18,159
Speaker 1: for the reasons I'm not totally clear on Susan and

451
00:27:18,320 --> 00:27:23,200
Speaker 1: Richards starting meeting on a weekly basis to discuss diplomatic

452
00:27:23,359 --> 00:27:27,399
Speaker 1: ties and Richard's quote infiltration unquote of a network of

453
00:27:27,480 --> 00:27:30,919
Speaker 1: Syrian terrorists. I've read that Susan referred to Richard as

454
00:27:31,000 --> 00:27:34,560
Speaker 1: her quote contact in the CIA, unquote, and that someone

455
00:27:34,600 --> 00:27:36,680
Speaker 1: when someone asked him if he was in fact in

456
00:27:36,800 --> 00:27:39,680
Speaker 1: the CIA, he said that he could neither confirm or

457
00:27:39,800 --> 00:27:42,760
Speaker 1: deny that, and he couldn't discuss it further. Yeah, which

458
00:27:42,840 --> 00:27:46,320
Speaker 1: usually means that he's never been anywhere in this guy's case,

459
00:27:46,560 --> 00:27:48,960
Speaker 1: not necessarily. So, so I'm just gonna go ahead and

460
00:27:48,960 --> 00:27:51,600
Speaker 1: pause right here and say that I literally cannot tell

461
00:27:51,680 --> 00:27:53,640
Speaker 1: what is truth and what is fiction when it comes

462
00:27:53,680 --> 00:27:59,200
Speaker 1: to Susan. So I'm just gonna say I question. So

463
00:27:59,280 --> 00:28:01,800
Speaker 1: I'm just gonna say a all of it and let

464
00:28:02,040 --> 00:28:05,000
Speaker 1: you be the boss of deciding what you believe in

465
00:28:05,080 --> 00:28:08,320
Speaker 1: what you don't believe. Susan started to claim that she

466
00:28:08,520 --> 00:28:12,560
Speaker 1: had been harassed after meeting with Libyan officials to tell

467
00:28:12,640 --> 00:28:15,119
Speaker 1: them that she didn't think they were responsible for the

468
00:28:15,240 --> 00:28:20,960
Speaker 1: flight one of three bombing in which was the lockerbe bombing. Yeah, big,

469
00:28:21,040 --> 00:28:24,359
Speaker 1: big thing. Yeah, I'm shocked that suddenly she was getting

470
00:28:24,720 --> 00:28:28,199
Speaker 1: harassed for telling people that she didn't think they were

471
00:28:28,280 --> 00:28:31,000
Speaker 1: responsible for it. So, yeah, she was sure that the

472
00:28:31,200 --> 00:28:35,280
Speaker 1: good Off he was framed for the whole thing. Yeah. Eventually,

473
00:28:35,800 --> 00:28:38,640
Speaker 1: eventually good Off he did acknowledge responsibility for the whole thing.

474
00:28:39,280 --> 00:28:44,080
Speaker 1: He did. Susan was sure that neither Libya nor Syria

475
00:28:44,200 --> 00:28:47,320
Speaker 1: were blamed for that incident. In two thousand, when w

476
00:28:47,600 --> 00:28:53,440
Speaker 1: was elected George George W. Bush, he selected Susan's second

477
00:28:53,560 --> 00:28:57,200
Speaker 1: cousin as his chief of staff. Apparently she went a

478
00:28:57,320 --> 00:29:01,520
Speaker 1: little crazy. The second cousin or Susan, Susan went a

479
00:29:01,560 --> 00:29:04,640
Speaker 1: little crazy. The second cousin was a guy, and started

480
00:29:04,720 --> 00:29:08,600
Speaker 1: leaving him. His name was card Um, started leaving him

481
00:29:08,640 --> 00:29:11,760
Speaker 1: letters on his doorstep, basically offering to use her quote

482
00:29:11,840 --> 00:29:15,160
Speaker 1: intelligent contacts unquote to negotiate a way out of the

483
00:29:15,280 --> 00:29:19,560
Speaker 1: war in Iraq, which everybody saw coming at that point. Yeah,

484
00:29:20,080 --> 00:29:22,920
Speaker 1: it was like three years away. But okay, yeah, you

485
00:29:23,000 --> 00:29:25,400
Speaker 1: may have guessed already because I kind of hinted that before.

486
00:29:25,560 --> 00:29:29,120
Speaker 1: But Susan is indeed a nine eleven truth RM quote

487
00:29:29,200 --> 00:29:32,640
Speaker 1: unquote true firm, and she's been very vocal. She claims,

488
00:29:32,720 --> 00:29:35,160
Speaker 1: as others do, that she had knowledge of the attack

489
00:29:35,280 --> 00:29:38,040
Speaker 1: prior to it happening, and she was ignored. I guess

490
00:29:38,480 --> 00:29:44,000
Speaker 1: Richard for his part, Dr Richard H stopped talking to

491
00:29:44,080 --> 00:29:47,640
Speaker 1: her after nine eleven, basically saying that her views on

492
00:29:47,760 --> 00:29:51,080
Speaker 1: nine eleven were malicious. He also another quote that I

493
00:29:51,160 --> 00:29:53,880
Speaker 1: heard from him was that her said her talk that

494
00:29:54,080 --> 00:29:57,920
Speaker 1: had taken ace what was the word seditious? Bent? Yeah,

495
00:29:59,200 --> 00:30:01,760
Speaker 1: So he did don't even want to be um speaking

496
00:30:01,800 --> 00:30:04,800
Speaker 1: with her anymore. And then in two thousand four, she

497
00:30:05,040 --> 00:30:08,600
Speaker 1: was arrested by the FBI for acting as an unregistered

498
00:30:08,680 --> 00:30:11,480
Speaker 1: agent of a foreign government. So it seems like she

499
00:30:11,800 --> 00:30:14,000
Speaker 1: was maybe talking to some of the people she said

500
00:30:14,080 --> 00:30:16,680
Speaker 1: she was talking to, though it was probably not as

501
00:30:16,880 --> 00:30:20,040
Speaker 1: in much of a government capacity as she said it was.

502
00:30:20,920 --> 00:30:24,320
Speaker 1: And so she came back and actually said, no, I'm

503
00:30:24,320 --> 00:30:27,560
Speaker 1: actually a CIA asset um and they're you know, throwing

504
00:30:27,600 --> 00:30:30,840
Speaker 1: me under the bus to hide something about nine eleven.

505
00:30:30,840 --> 00:30:35,880
Speaker 1: They knew, right, So she was held about a year

506
00:30:36,760 --> 00:30:39,360
Speaker 1: UM and then she was declared unfit to stand trial

507
00:30:39,520 --> 00:30:44,360
Speaker 1: because she had a lengthy delusional history, delusions of grandeur. Yeah,

508
00:30:45,040 --> 00:30:47,680
Speaker 1: and um, apparently there were some meds that she could

509
00:30:47,680 --> 00:30:50,520
Speaker 1: have taken to to make her fit, but she said, no,

510
00:30:50,640 --> 00:30:53,080
Speaker 1: I'm not taking those pills. I'm not crazy. And the

511
00:30:53,120 --> 00:30:57,840
Speaker 1: prosecution really loving to have her that administered forcibly. Yeah,

512
00:30:57,920 --> 00:31:00,920
Speaker 1: and then finally in two thousand nine by basically the

513
00:31:01,040 --> 00:31:04,320
Speaker 1: Fed decided, you know what, this is not worth our

514
00:31:04,400 --> 00:31:06,640
Speaker 1: time and energy, so we're just gonna drop all the

515
00:31:06,680 --> 00:31:09,120
Speaker 1: charges against her. It makes you wonder what doctor Richard

516
00:31:09,160 --> 00:31:11,840
Speaker 1: Police was willing to spend so much time like hanging

517
00:31:11,880 --> 00:31:14,680
Speaker 1: out with her. She was but you know, I mean,

518
00:31:14,720 --> 00:31:17,600
Speaker 1: I'm not really sure. But I tell you all of

519
00:31:17,680 --> 00:31:22,040
Speaker 1: this not because this episode is about nine eleven. But

520
00:31:22,320 --> 00:31:25,200
Speaker 1: there was Susan Lindau with the email address, and there

521
00:31:25,400 --> 00:31:28,440
Speaker 1: was So there are a couple of theories really too,

522
00:31:29,160 --> 00:31:35,280
Speaker 1: two big theories. Three theories about the Marcovian parallax denigrade.

523
00:31:35,600 --> 00:31:39,960
Speaker 1: But first let's take a break a break. Yeah, coimpee

524
00:31:44,120 --> 00:31:47,760
Speaker 1: Opal has wants and needs. She wants your attention, she

525
00:31:47,920 --> 00:31:51,040
Speaker 1: wants her food. She needs to destroy the squirrel that

526
00:31:51,080 --> 00:31:53,320
Speaker 1: lives in the tree in front of her house. It

527
00:31:53,360 --> 00:31:56,200
Speaker 1: would be fantastic if Opel could talk back to you. Though,

528
00:31:56,600 --> 00:31:58,400
Speaker 1: When you sit on the couch together and you tell

529
00:31:58,440 --> 00:32:00,560
Speaker 1: her about your day, she looked to you with that

530
00:32:00,720 --> 00:32:03,640
Speaker 1: understanding face, But the closest she comes to giving you

531
00:32:03,800 --> 00:32:07,640
Speaker 1: valuable feedback is rubbing her head against you. And maybe

532
00:32:07,760 --> 00:32:10,960
Speaker 1: just talking to Opel isn't enough. Maybe it's time to

533
00:32:11,040 --> 00:32:13,560
Speaker 1: talk to another person. If you've ever thought about going

534
00:32:13,640 --> 00:32:17,040
Speaker 1: to therapy but found it too inconvenient, too expensive, or

535
00:32:17,560 --> 00:32:20,080
Speaker 1: just too embarrassing to make it into an office, then

536
00:32:20,120 --> 00:32:23,120
Speaker 1: give talk Space a try. Talk Space is the online

537
00:32:23,200 --> 00:32:25,960
Speaker 1: therapy company, and they make it easy to connect with

538
00:32:26,040 --> 00:32:28,720
Speaker 1: a licensed therapist hand pick just for you for as

539
00:32:28,800 --> 00:32:31,680
Speaker 1: little as thirty two dollars a week. Using talk Space,

540
00:32:32,040 --> 00:32:35,160
Speaker 1: you can text, audio, and video message your therapist as

541
00:32:35,280 --> 00:32:37,960
Speaker 1: much as you want. Your talk Space therapist can listen

542
00:32:38,000 --> 00:32:41,520
Speaker 1: to you invent about work or family, or explore relationships

543
00:32:41,560 --> 00:32:43,840
Speaker 1: with people around you, and help put you on a

544
00:32:43,880 --> 00:32:46,520
Speaker 1: path to a happier life. To sign up or learn more,

545
00:32:46,920 --> 00:32:50,960
Speaker 1: go to talk space dot com slash sideways, and as

546
00:32:51,000 --> 00:32:53,120
Speaker 1: a special offer to our listeners, you can use the

547
00:32:53,200 --> 00:32:56,400
Speaker 1: coupon codes sideways to get thirty dollars off your first

548
00:32:56,520 --> 00:33:01,160
Speaker 1: month that sideways at talk space dot com slash sideways.

549
00:33:01,760 --> 00:33:04,560
Speaker 1: Opal's needs a pretty simple because she's a cat. Yours

550
00:33:04,640 --> 00:33:12,280
Speaker 1: aren't because you're a human. And we're back talking about theories.

551
00:33:14,440 --> 00:33:16,800
Speaker 1: Since we were just talking about old Susan. I don't

552
00:33:16,800 --> 00:33:20,000
Speaker 1: think she'd like to be referred to as old. It

553
00:33:20,160 --> 00:33:29,480
Speaker 1: was old old Susan. Oh yeah, she's still alive, yes,

554
00:33:29,880 --> 00:33:32,000
Speaker 1: and she have a website, Yeah, she's yeah, and she's

555
00:33:32,040 --> 00:33:35,480
Speaker 1: on a whole bunch of kicking and hosting talks and

556
00:33:35,880 --> 00:33:38,720
Speaker 1: talking about and the truth and all that stuff. Yeah,

557
00:33:39,040 --> 00:33:42,080
Speaker 1: or at least her story. So the first theory we're

558
00:33:42,080 --> 00:33:44,640
Speaker 1: going to talk about is Susan really was the CIA

559
00:33:44,880 --> 00:33:48,480
Speaker 1: asset and she was posting coded messages on you snet

560
00:33:48,520 --> 00:33:52,000
Speaker 1: as early as nineties six. Susan was apparently actually meeting

561
00:33:52,040 --> 00:33:55,320
Speaker 1: with Middle Eastern diplomats. So that's what got her in trouble,

562
00:33:55,760 --> 00:33:58,840
Speaker 1: is that this is actually like in her official capacity

563
00:33:59,120 --> 00:34:02,560
Speaker 1: or just meeting with people. That's a good question, Joe

564
00:34:03,560 --> 00:34:06,920
Speaker 1: her it was an official capacity as a back channel

565
00:34:07,160 --> 00:34:12,359
Speaker 1: contact for the CIA, right, she will. If you watch

566
00:34:12,440 --> 00:34:16,239
Speaker 1: her videos, which I really tried to watch, they're hard

567
00:34:16,320 --> 00:34:19,200
Speaker 1: to get there, they're hard to get through. She repeats

568
00:34:19,320 --> 00:34:22,520
Speaker 1: a lot of the same words over and over and over,

569
00:34:22,760 --> 00:34:27,000
Speaker 1: as if the repetition of the word increases the truth

570
00:34:27,239 --> 00:34:29,880
Speaker 1: of it. But she kept using the word back channel

571
00:34:30,640 --> 00:34:33,840
Speaker 1: a lot, and that was how she was contacting. I

572
00:34:33,960 --> 00:34:37,120
Speaker 1: think she tucked to not a run it was iraq

573
00:34:37,880 --> 00:34:41,279
Speaker 1: um and apparently got some money for doing so. She

574
00:34:42,200 --> 00:34:45,279
Speaker 1: did not denies that she got money, which is one

575
00:34:45,320 --> 00:34:47,600
Speaker 1: of the things that lawn landed or and hot water,

576
00:34:48,000 --> 00:34:50,080
Speaker 1: because it appears she did not fill out the proper

577
00:34:50,480 --> 00:34:52,400
Speaker 1: I R S form, which I had the number of

578
00:34:52,440 --> 00:34:56,000
Speaker 1: written down and I don't have any more. Yeah, So

579
00:34:57,600 --> 00:35:00,000
Speaker 1: I mean, like I said, I can't tell what's true

580
00:35:00,080 --> 00:35:02,960
Speaker 1: and what's not when it comes to her. So, and

581
00:35:03,400 --> 00:35:05,440
Speaker 1: the other thing that people point to is that the

582
00:35:06,080 --> 00:35:11,000
Speaker 1: revelation of Susan's name being attached to that spam does

583
00:35:11,120 --> 00:35:15,040
Speaker 1: seem to coincide with the apparent wiping and or totally

584
00:35:15,120 --> 00:35:21,000
Speaker 1: discrediting of the Wikipedia page and anything online regarding it.

585
00:35:21,440 --> 00:35:27,680
Speaker 1: So Susan. Maybe what was Susan doing in a what

586
00:35:27,760 --> 00:35:30,040
Speaker 1: I want to know because that seems like that would

587
00:35:30,080 --> 00:35:33,920
Speaker 1: be when the important thing went down. It would be

588
00:35:34,960 --> 00:35:36,759
Speaker 1: as far as I can tell, she wasn't doing of

589
00:35:36,840 --> 00:35:39,440
Speaker 1: anything of note at that point. Is that correct? And

590
00:35:39,600 --> 00:35:44,760
Speaker 1: she was working for Karen Moseley Braun, Carol, sorry, Carol

591
00:35:44,840 --> 00:35:49,520
Speaker 1: Moseley Braun, who was at the time of Senator for Illinois.

592
00:35:49,719 --> 00:35:53,800
Speaker 1: That true, But the senator that she was working for

593
00:35:54,000 --> 00:36:00,680
Speaker 1: didn't have any kind of nefarious CIA or black ops

594
00:36:00,920 --> 00:36:05,640
Speaker 1: kind of seed counsel we knew about now. She she

595
00:36:05,880 --> 00:36:08,560
Speaker 1: was actually a one termer and she was considered kind

596
00:36:08,560 --> 00:36:11,000
Speaker 1: of a lightweight, and she wasn't really lett near anything

597
00:36:11,080 --> 00:36:15,000
Speaker 1: too serious with you. She was in Senate from ninety

598
00:36:15,040 --> 00:36:17,560
Speaker 1: three to ninety nine, which is one Senate term. They're

599
00:36:17,600 --> 00:36:23,439
Speaker 1: six they're six year terms. Yeah, that's so sad. Yeah yeah,

600
00:36:23,920 --> 00:36:27,320
Speaker 1: um so no, but that doesn't necessarily mean that Susan

601
00:36:27,440 --> 00:36:31,560
Speaker 1: wasn't doing Okay, I don't know. She's been around the

602
00:36:31,680 --> 00:36:34,759
Speaker 1: hill for a while, so okay, yeah, I mean that's

603
00:36:34,800 --> 00:36:39,400
Speaker 1: two years that she's been talking to to miss Robert

604
00:36:39,760 --> 00:36:45,960
Speaker 1: fueeze or freeze or however please the doctor. Yeah. So um.

605
00:36:46,280 --> 00:36:48,960
Speaker 1: On the other hand, Susan is kind of guano crazy,

606
00:36:49,200 --> 00:36:52,200
Speaker 1: so a little bit. Yeah, I don't know if I

607
00:36:52,280 --> 00:36:55,040
Speaker 1: trust that actually, and Carol Mosley Brown would have been

608
00:36:55,040 --> 00:36:57,839
Speaker 1: a good fit. Actually, she's now ambassador of Samila. Yeah,

609
00:36:58,640 --> 00:37:02,239
Speaker 1: the senator. Yeah, she was an ambassador to somewhere else

610
00:37:02,360 --> 00:37:07,640
Speaker 1: before too, were not important. Yeah, like, yeah, I'm sorry,

611
00:37:07,719 --> 00:37:15,799
Speaker 1: I'm really important if you're a sist, really important. So next, yeah,

612
00:37:15,960 --> 00:37:20,759
Speaker 1: actually seriously, next theory? Go ahead, what's that Susan has

613
00:37:20,880 --> 00:37:24,120
Speaker 1: nothing to do? This is a long theory title. I'm sorry, Uh,

614
00:37:24,239 --> 00:37:27,719
Speaker 1: Susan has nothing to do with this, because Susan Lindauer

615
00:37:28,000 --> 00:37:30,040
Speaker 1: isn't really that weird of a name. And also, there

616
00:37:30,160 --> 00:37:32,360
Speaker 1: was one of those working at the university that that

617
00:37:32,440 --> 00:37:37,200
Speaker 1: email address is registered to at the time. So, um,

618
00:37:37,480 --> 00:37:42,399
Speaker 1: the website or the university that that spam was sent from.

619
00:37:42,640 --> 00:37:45,320
Speaker 1: The email address where that was registered at was the

620
00:37:45,400 --> 00:37:50,400
Speaker 1: University of Wisconsin Stevens points dot du. Yeah. And in

621
00:37:50,480 --> 00:37:57,400
Speaker 1: the spring of there's articles talking about this program that

622
00:37:57,719 --> 00:38:02,479
Speaker 1: one Susan Lindauer different rent Susan Lindauer was in charge

623
00:38:02,520 --> 00:38:07,080
Speaker 1: of organizing. There's there's like proof in the you know,

624
00:38:07,160 --> 00:38:10,360
Speaker 1: there's academic journals written about her studies that she was

625
00:38:10,400 --> 00:38:12,200
Speaker 1: doing there, so we know that she was there at

626
00:38:12,239 --> 00:38:16,400
Speaker 1: that time. That's where that web address is located. So

627
00:38:17,080 --> 00:38:19,800
Speaker 1: it's not unreasonable to assume that it was just a

628
00:38:19,880 --> 00:38:23,239
Speaker 1: hacked email address makes sense to me. Yeah, so I

629
00:38:23,280 --> 00:38:26,320
Speaker 1: had nothing to do with crazy crazy Susan Lindower. Just

630
00:38:26,960 --> 00:38:29,080
Speaker 1: it was just a coincidence that it was the same

631
00:38:29,200 --> 00:38:32,360
Speaker 1: name we use Susan's. Yeah, quite quite possible. But on

632
00:38:32,440 --> 00:38:35,799
Speaker 1: the other as, she might be actually have a used

633
00:38:35,840 --> 00:38:39,120
Speaker 1: net log on, but being somebody who was employed more

634
00:38:39,160 --> 00:38:42,680
Speaker 1: in the physical education part of things, yeah, and not

635
00:38:42,800 --> 00:38:46,160
Speaker 1: the more techie computer science and things, might not have

636
00:38:46,200 --> 00:38:48,480
Speaker 1: actually used it at all or not used it much,

637
00:38:48,520 --> 00:38:50,840
Speaker 1: and definitely was not tech savvy enough to not let

638
00:38:50,880 --> 00:38:53,800
Speaker 1: her email address fall into the wrong hands. It's totally possible.

639
00:38:53,800 --> 00:38:55,279
Speaker 1: I got to tell you I had a I had

640
00:38:55,320 --> 00:38:57,560
Speaker 1: an email address at that time that was assigned to

641
00:38:57,640 --> 00:39:00,880
Speaker 1: me from a university, and I would check it once

642
00:39:01,000 --> 00:39:05,560
Speaker 1: every week or four at the library. Oh yeah, me too.

643
00:39:06,200 --> 00:39:09,399
Speaker 1: Why I might have gotten this email address and never

644
00:39:09,520 --> 00:39:13,680
Speaker 1: used it ever. Yeah, that happens a lot. Yeah obviously

645
00:39:13,760 --> 00:39:16,320
Speaker 1: back in those days. Yeah yeah, yeah, And she was

646
00:39:16,880 --> 00:39:20,200
Speaker 1: Just in case anybody's wondering about this, Susan, she worked

647
00:39:20,239 --> 00:39:24,480
Speaker 1: on a program to um. It was basically children's physical

648
00:39:24,600 --> 00:39:29,040
Speaker 1: education for children who were delayed for whatever reason, mentally

649
00:39:29,120 --> 00:39:33,160
Speaker 1: delayed develop Yeah. Um. And then she's she was an

650
00:39:33,160 --> 00:39:37,840
Speaker 1: assistant instructor in the snap program whatever. I don't know

651
00:39:38,320 --> 00:39:42,759
Speaker 1: final theory. Yeah, do you guys know whom Mark V.

652
00:39:43,480 --> 00:39:47,920
Speaker 1: Shane shanely is Shaney? I actually do, do you, Joe?

653
00:39:48,000 --> 00:39:50,000
Speaker 1: Do you know who Mark V. Shaney is? Totally? I

654
00:39:50,040 --> 00:39:55,560
Speaker 1: want to school with him. Uh. He was a user

655
00:39:55,800 --> 00:40:00,239
Speaker 1: on the use net forum uh net nott singles. He

656
00:40:00,400 --> 00:40:03,160
Speaker 1: was also the very first as far as I can tell,

657
00:40:03,360 --> 00:40:06,200
Speaker 1: a I bought as far as as far as I know, um,

658
00:40:06,360 --> 00:40:10,160
Speaker 1: and he was based on a what's called a Markov chain.

659
00:40:10,480 --> 00:40:12,560
Speaker 1: Do you know what a Markov chain is? You know,

660
00:40:12,640 --> 00:40:14,440
Speaker 1: I've heard of it, but you know, if you go

661
00:40:14,560 --> 00:40:18,359
Speaker 1: out and read about the Markov chains, it's pretty esoteric stuff. Yeah.

662
00:40:19,200 --> 00:40:21,279
Speaker 1: I have a what I would call it very very

663
00:40:21,400 --> 00:40:26,480
Speaker 1: sort of general understanding of what it is. Abstract, Yeah,

664
00:40:26,680 --> 00:40:32,000
Speaker 1: but it's it's basically, it just generates random things. It's

665
00:40:32,000 --> 00:40:35,640
Speaker 1: a formula for random things that people have written. And

666
00:40:35,800 --> 00:40:38,840
Speaker 1: that's about it. Well, a Markov chain bought is that?

667
00:40:39,000 --> 00:40:45,719
Speaker 1: But a Markov chain is like a mathematical of anything. Yeah,

668
00:40:46,600 --> 00:40:49,840
Speaker 1: I think that's my understanding of it. But it's almost

669
00:40:49,880 --> 00:40:52,520
Speaker 1: like a chain of events. There's one way of looking

670
00:40:52,560 --> 00:40:56,000
Speaker 1: at it, and yeah, and so the next event depends

671
00:40:56,000 --> 00:40:58,040
Speaker 1: on the president event, but not the president event does

672
00:40:58,080 --> 00:41:03,319
Speaker 1: not necessarily depend the relationship between past president future. There's

673
00:41:03,360 --> 00:41:06,919
Speaker 1: not necessarily a change. So let me simplify this. There's

674
00:41:06,960 --> 00:41:12,880
Speaker 1: a tree and there is a Kleenex, and one eventually

675
00:41:13,000 --> 00:41:15,560
Speaker 1: turned into the other. What happens in the middle. I

676
00:41:15,680 --> 00:41:18,719
Speaker 1: don't know. I don't really care. Yeah, kind of that, yeah,

677
00:41:19,080 --> 00:41:23,319
Speaker 1: kind of yeah, ok, yeah, But the Markov chain bought

678
00:41:23,960 --> 00:41:27,560
Speaker 1: is uh, yeah, it's a mathematical procedure that computers can

679
00:41:27,640 --> 00:41:33,160
Speaker 1: use to create relatively realistic looking text with some great responses. Yeah,

680
00:41:33,320 --> 00:41:36,920
Speaker 1: given based on some given data. So we've we've actually

681
00:41:36,960 --> 00:41:40,320
Speaker 1: seen a lot of those. Um, that robot that was

682
00:41:40,360 --> 00:41:46,600
Speaker 1: a Microsoft the Twitter thing that like turned into oh

683
00:41:46,719 --> 00:41:52,520
Speaker 1: that one justly repens. Yeah, so she's a very advanced

684
00:41:52,680 --> 00:41:56,239
Speaker 1: version of a Markov chain bought, very advanced. But it's

685
00:41:56,280 --> 00:41:59,120
Speaker 1: so sad with the Internet. Yeah, it's really sad. It's

686
00:42:00,000 --> 00:42:02,360
Speaker 1: to be the sacond. No. I don't think that robot

687
00:42:02,400 --> 00:42:06,560
Speaker 1: exists anymore, but that's basically that sort of thing. Um

688
00:42:07,239 --> 00:42:12,200
Speaker 1: and Mark Actually going back to Mark Mark V. Shaney, Um,

689
00:42:12,360 --> 00:42:15,200
Speaker 1: he was actually pretty successful, but he was prone to

690
00:42:15,280 --> 00:42:18,080
Speaker 1: saying things like I spent an interesting evening recently with

691
00:42:18,120 --> 00:42:23,680
Speaker 1: a grain of salt. I mean, I've read some of

692
00:42:23,719 --> 00:42:26,279
Speaker 1: the other stuff that he he said, and realistically, it

693
00:42:26,360 --> 00:42:28,320
Speaker 1: could have I mean, it was early internet days. It

694
00:42:28,360 --> 00:42:31,000
Speaker 1: could have just been like a really quirky, awkward dude

695
00:42:31,080 --> 00:42:34,200
Speaker 1: on the other end, or maybe even somebody who like

696
00:42:34,600 --> 00:42:38,359
Speaker 1: English wasn't their first language. But he was pretty convincing.

697
00:42:38,880 --> 00:42:40,440
Speaker 1: M did you get a lot of dates? I know

698
00:42:40,640 --> 00:42:44,080
Speaker 1: he was. He was on net dot singles, right, I

699
00:42:44,120 --> 00:42:47,360
Speaker 1: don't think there's a story about people who thinking that

700
00:42:47,719 --> 00:42:52,640
Speaker 1: Mark was real. We're at some gathering and was overheard

701
00:42:52,760 --> 00:42:55,000
Speaker 1: by one of the people who had created Mark V.

702
00:42:55,120 --> 00:42:58,120
Speaker 1: Shaney saying, I wonder if Mark V. Shaney is going

703
00:42:58,160 --> 00:43:03,399
Speaker 1: to be here? People into it? Yeah, and we see

704
00:43:03,440 --> 00:43:05,480
Speaker 1: these bots. I mean you see the screen captures of

705
00:43:05,600 --> 00:43:08,680
Speaker 1: like Tinder bots for instance, Right, I mean that's this

706
00:43:08,880 --> 00:43:10,920
Speaker 1: is the same sort of thing. But that was supposed

707
00:43:10,920 --> 00:43:12,279
Speaker 1: to be the ones that never show up for their

708
00:43:12,360 --> 00:43:16,399
Speaker 1: dates with me. Yeah, I know, it's kind of pain yeah,

709
00:43:17,080 --> 00:43:20,800
Speaker 1: stuff giving me your credit card? Yeah, I mean, so

710
00:43:21,640 --> 00:43:27,640
Speaker 1: you know we're talking Marcovian Parallax Denigrade, is it Dennigrade?

711
00:43:27,840 --> 00:43:31,560
Speaker 1: Think it's yeah, great? Yeah, you're thinking that it was

712
00:43:31,680 --> 00:43:35,640
Speaker 1: just something sent up by a bot. I kind of do. Actually,

713
00:43:35,800 --> 00:43:40,040
Speaker 1: I mean, Markov is in the name already, right, and

714
00:43:40,239 --> 00:43:43,440
Speaker 1: you know something being Marcovian is like a generate, random

715
00:43:43,520 --> 00:43:48,759
Speaker 1: generated string of stuff. And I don't know, I just

716
00:43:48,920 --> 00:43:51,000
Speaker 1: like that makes sense to me. That makes a lot

717
00:43:51,080 --> 00:43:52,480
Speaker 1: of sense to me, that it could just be this

718
00:43:52,640 --> 00:43:55,360
Speaker 1: bot and it, you know, was named something tongue in

719
00:43:55,480 --> 00:43:57,280
Speaker 1: cheek and it just kind of went off the rails

720
00:43:57,320 --> 00:44:01,120
Speaker 1: a little bit. But that to me makes the most sense.

721
00:44:01,840 --> 00:44:04,880
Speaker 1: I know, we've just spent the last almost hour talking

722
00:44:04,960 --> 00:44:09,880
Speaker 1: about covert counterintelligence in the CIA, but I don't think so.

723
00:44:10,160 --> 00:44:13,200
Speaker 1: But Steve had that look on his face. I tried

724
00:44:13,280 --> 00:44:17,560
Speaker 1: to decode this, just like the rest of the Internet.

725
00:44:17,760 --> 00:44:21,200
Speaker 1: How did that go for you? Quite boringly? Uh, and

726
00:44:21,400 --> 00:44:24,600
Speaker 1: not very effectively because I looked at it and was

727
00:44:24,719 --> 00:44:29,319
Speaker 1: figuring it was as a cipher where it's not. It's

728
00:44:29,320 --> 00:44:32,640
Speaker 1: like a word switch. In other words, you put so

729
00:44:33,400 --> 00:44:37,040
Speaker 1: in here there's Gennaro as in Rio de Janeiro, as

730
00:44:37,120 --> 00:44:39,319
Speaker 1: in the city by the River, and so I was like, oh,

731
00:44:39,400 --> 00:44:41,960
Speaker 1: well that must mean rivers. So they're plugging a word in.

732
00:44:42,040 --> 00:44:45,640
Speaker 1: So it's a replacement. So I started playing with thinking

733
00:44:45,640 --> 00:44:48,320
Speaker 1: about that too, like jitterbugging is a dance, McKinley and

734
00:44:48,400 --> 00:44:53,120
Speaker 1: Eber presidents right right, you know, is physics. I did

735
00:44:53,200 --> 00:44:56,279
Speaker 1: it for a while because I was curious, not that

736
00:44:56,400 --> 00:44:59,160
Speaker 1: I expected to be the genius that cracked it after

737
00:44:59,239 --> 00:45:01,600
Speaker 1: all this time him, but just to see if there

738
00:45:01,680 --> 00:45:08,000
Speaker 1: was anything there. And it's just enough, it's just enough

739
00:45:08,200 --> 00:45:13,160
Speaker 1: to pull you in. And I made the mistake of

740
00:45:13,360 --> 00:45:16,000
Speaker 1: laying it out so that I could put three or

741
00:45:16,080 --> 00:45:18,239
Speaker 1: four words under each one, you know, my guesses of

742
00:45:18,320 --> 00:45:22,120
Speaker 1: what that word meant. And then very quickly I began

743
00:45:22,280 --> 00:45:25,680
Speaker 1: to build a sentence, and I was like, oh my god,

744
00:45:25,800 --> 00:45:29,280
Speaker 1: I've got it. What I had gotten was confirmation bias.

745
00:45:32,040 --> 00:45:35,440
Speaker 1: It's real interesting. I mean, you know, you can find

746
00:45:36,120 --> 00:45:40,840
Speaker 1: meaning in words connected pretty easily. Yeah, And and so

747
00:45:41,960 --> 00:45:45,520
Speaker 1: I see why people are so curious. What I am

748
00:45:45,640 --> 00:45:50,520
Speaker 1: sad about is that only this one string of what

749
00:45:50,719 --> 00:45:56,640
Speaker 1: is it six twelve eighteen twenty four thirties some words

750
00:45:56,960 --> 00:46:02,000
Speaker 1: are remaining because I would like to see other instances

751
00:46:02,120 --> 00:46:05,200
Speaker 1: of it, just to see how they're assembled, you know,

752
00:46:05,239 --> 00:46:08,719
Speaker 1: because if it truly was a code, you can't break

753
00:46:08,800 --> 00:46:13,719
Speaker 1: the code with just the cipher text. Yes, uh, you know,

754
00:46:13,920 --> 00:46:16,319
Speaker 1: you don't know what the encryption algorithm is. I mean,

755
00:46:16,480 --> 00:46:18,360
Speaker 1: one of the things that occurred to me was that

756
00:46:19,280 --> 00:46:21,200
Speaker 1: the number of letters in each one of these words

757
00:46:21,280 --> 00:46:23,400
Speaker 1: could represent just a number, which is of course the

758
00:46:23,480 --> 00:46:24,960
Speaker 1: number of a letter in the alphabet. But then we

759
00:46:25,040 --> 00:46:27,600
Speaker 1: need to know the book it's tied to. Well, not necessarily, No,

760
00:46:27,680 --> 00:46:30,400
Speaker 1: it could be a simple substitution cipher with numbers. But

761
00:46:30,840 --> 00:46:32,800
Speaker 1: I just did a quick glance at and I realized,

762
00:46:32,840 --> 00:46:37,680
Speaker 1: doing very very often back of the envelop character counting, uh,

763
00:46:37,960 --> 00:46:41,359
Speaker 1: that it couldn't be that because it's well, yeah, I mean, well,

764
00:46:42,400 --> 00:46:44,960
Speaker 1: you got a lot of real big words in there.

765
00:46:45,000 --> 00:46:47,640
Speaker 1: There's a number of large words, very few small ones

766
00:46:47,800 --> 00:46:50,759
Speaker 1: and anything like that. There's going to be a lot

767
00:46:50,800 --> 00:46:53,320
Speaker 1: of representations of the letter E and then after that

768
00:46:53,400 --> 00:46:55,400
Speaker 1: the letter A. So a lot of words of the

769
00:46:55,480 --> 00:46:57,680
Speaker 1: same length, and you don't see very many of those

770
00:46:57,719 --> 00:47:00,480
Speaker 1: in here. So Okay, that's out, and that's as much

771
00:47:00,520 --> 00:47:03,160
Speaker 1: time as I wanted to spend on it. Yeah, but

772
00:47:03,480 --> 00:47:05,839
Speaker 1: there this could actually be a code, but I think

773
00:47:05,880 --> 00:47:08,200
Speaker 1: it's something else entirely. What do you think it is?

774
00:47:08,760 --> 00:47:12,840
Speaker 1: It's just a big fat chunk of text, and it

775
00:47:12,920 --> 00:47:16,600
Speaker 1: could have been actually an attempt too. There's you can

776
00:47:16,640 --> 00:47:20,000
Speaker 1: think of a couple of different possibilities here. Well, one

777
00:47:20,080 --> 00:47:22,360
Speaker 1: of course, is it's just somebody wanting to annoy a

778
00:47:22,440 --> 00:47:25,160
Speaker 1: lot of people by sending out this big fat chunk

779
00:47:25,200 --> 00:47:27,600
Speaker 1: of text and tying things up. It could have been

780
00:47:27,600 --> 00:47:30,600
Speaker 1: also an attempt to break the network, just let's see

781
00:47:30,640 --> 00:47:34,120
Speaker 1: how much stress this network can take, like the way

782
00:47:34,320 --> 00:47:38,000
Speaker 1: like webdriver torso, I mean, you know what that is, right,

783
00:47:38,520 --> 00:47:42,960
Speaker 1: it's those videos that we're getting uploaded like insanely fast

784
00:47:43,040 --> 00:47:45,080
Speaker 1: to YouTube. They were like six seconds and they were

785
00:47:45,160 --> 00:47:48,600
Speaker 1: just like a tone and like blocks of Yeah. And

786
00:47:48,680 --> 00:47:51,160
Speaker 1: it turned out that it was Google just testing how

787
00:47:51,480 --> 00:47:55,680
Speaker 1: robust the system of YouTube is exactly. I mean, I

788
00:47:55,800 --> 00:47:57,920
Speaker 1: kind of want thinking about this. It could have been

789
00:47:57,960 --> 00:47:59,920
Speaker 1: a way to map the network and see, you we're

790
00:48:00,080 --> 00:48:02,799
Speaker 1: just gonna go if I send this out, who how

791
00:48:02,880 --> 00:48:05,759
Speaker 1: many people were exactly isn't gonna go. So it's kind

792
00:48:05,760 --> 00:48:08,640
Speaker 1: of a mapping thing more like you say, a stress test.

793
00:48:08,760 --> 00:48:11,120
Speaker 1: Could have been that, or it could have been a prankster.

794
00:48:12,200 --> 00:48:14,600
Speaker 1: But and I never did bother to actually count the

795
00:48:14,680 --> 00:48:16,400
Speaker 1: number of characters in here to see if it was

796
00:48:16,440 --> 00:48:19,440
Speaker 1: precisely like two five. It looks like more than two

797
00:48:19,520 --> 00:48:22,840
Speaker 1: fifty five actually, but you know exactly how you know,

798
00:48:22,960 --> 00:48:25,720
Speaker 1: at the length of the actual text block means anything

799
00:48:25,760 --> 00:48:28,440
Speaker 1: at all? I have no idea. Again, if I were

800
00:48:28,560 --> 00:48:30,520
Speaker 1: less lazy, I would have counted the character the number

801
00:48:30,560 --> 00:48:32,480
Speaker 1: of characters and found that out. Yeah, but I don't

802
00:48:32,480 --> 00:48:35,640
Speaker 1: think it's worth it. And again the problem is with

803
00:48:35,880 --> 00:48:41,480
Speaker 1: only one set of words you you're grasping of threats.

804
00:48:42,280 --> 00:48:46,080
Speaker 1: Had two or three more that were of different set

805
00:48:46,400 --> 00:48:51,160
Speaker 1: different words, then maybe you could try to draw some conclusions.

806
00:48:51,200 --> 00:48:54,839
Speaker 1: But you're you're literally just in the dark pretty much,

807
00:48:54,960 --> 00:48:57,879
Speaker 1: I mean, without without the decryption algorithm, if there even

808
00:48:58,040 --> 00:49:01,040
Speaker 1: is one. I mean, this could be a really super

809
00:49:01,120 --> 00:49:04,520
Speaker 1: deep one where the actual text itself means nothing whatsoever,

810
00:49:04,640 --> 00:49:06,160
Speaker 1: but the code is actually and who it went to.

811
00:49:06,880 --> 00:49:12,080
Speaker 1: And I'm guessing that Susan Lindauer the Lady has nothing

812
00:49:12,200 --> 00:49:15,960
Speaker 1: to do with it. Definitely not. That is just the

813
00:49:16,120 --> 00:49:22,640
Speaker 1: Internet loving a coincidence. Yeah, yeah, pretty much. Yeah. So yeah,

814
00:49:22,800 --> 00:49:25,360
Speaker 1: as far as decoding this, I'm going to give it

815
00:49:25,360 --> 00:49:29,520
Speaker 1: another ten seconds and that's about it. Yeah, there you go, done. Yeah,

816
00:49:29,760 --> 00:49:32,799
Speaker 1: I just I don't know. There might actually be an

817
00:49:32,880 --> 00:49:35,560
Speaker 1: encrypted message in here somewhere. I'm too lazy to find it.

818
00:49:35,719 --> 00:49:39,680
Speaker 1: I don't think there is. Yeah. Okay, wait a second,

819
00:49:40,719 --> 00:49:43,360
Speaker 1: we haven't talked about aliens, you know, like, you know,

820
00:49:43,520 --> 00:49:48,000
Speaker 1: just wrap this whole thing up without talking about aliens. Okay, yeah,

821
00:49:48,120 --> 00:49:50,560
Speaker 1: what about him? I was going to wrap it up

822
00:49:50,600 --> 00:49:54,000
Speaker 1: without talking about aliens. Okay, fine, fine, fine, all right,

823
00:49:54,040 --> 00:49:58,279
Speaker 1: go ahead wrap it up then. Okay, Well, sorry to

824
00:49:58,360 --> 00:50:01,840
Speaker 1: anybody who wanted this to be super exciting conspiracy episode.

825
00:50:03,080 --> 00:50:04,600
Speaker 1: I think there could be something in there, but I

826
00:50:04,680 --> 00:50:06,560
Speaker 1: just don't think it is. Yeah, I agree, it would

827
00:50:06,560 --> 00:50:09,040
Speaker 1: be nice. Then there might be, but probably not, probably

828
00:50:09,080 --> 00:50:12,400
Speaker 1: not yet. Well, there will be some links to our

829
00:50:12,520 --> 00:50:16,640
Speaker 1: research um on the website. That website is Thinking Sideways

830
00:50:16,719 --> 00:50:22,160
Speaker 1: podcast dot com. Uh. You can download and listen to

831
00:50:22,440 --> 00:50:27,040
Speaker 1: us off iTunes if you're doing that, uh, you know, subscribe,

832
00:50:27,239 --> 00:50:30,359
Speaker 1: leave a comment and rating. Uh. You can stream us

833
00:50:30,480 --> 00:50:34,239
Speaker 1: pretty much everywhere, including Google Play. At this point, we

834
00:50:34,320 --> 00:50:37,560
Speaker 1: are on social media. We've got a group and a

835
00:50:37,640 --> 00:50:41,320
Speaker 1: page on Facebook. We've got a Twitter which is Thinking

836
00:50:41,840 --> 00:50:45,160
Speaker 1: Sideways not Thinking Sideways, and we have a subreddit that's

837
00:50:45,200 --> 00:50:50,960
Speaker 1: just called Thinking Sideways. If you have suggestions, comments, questions,

838
00:50:51,120 --> 00:50:53,239
Speaker 1: anything like that, you can feel free to send us

839
00:50:53,239 --> 00:50:57,200
Speaker 1: an email as well, that email addresses Thinking Sideways podcast

840
00:50:57,320 --> 00:51:00,640
Speaker 1: at gmail dot com. Or if you want to be

841
00:51:00,880 --> 00:51:04,399
Speaker 1: super sneaky and talk about the bambo on the show,

842
00:51:04,440 --> 00:51:06,879
Speaker 1: which I know you're talking about me and it's bim bed,

843
00:51:07,480 --> 00:51:10,359
Speaker 1: you can send it there as well. Yeah. Yeah, keep

844
00:51:10,440 --> 00:51:15,080
Speaker 1: trying yep through that, and then if you want to

845
00:51:15,120 --> 00:51:18,440
Speaker 1: buy merchandise, you can do that on our website. We've

846
00:51:18,480 --> 00:51:21,839
Speaker 1: got shirt, smugs, stickers, kind of anything you could possibly want.

847
00:51:22,120 --> 00:51:23,960
Speaker 1: There's links to ours as ale in our red Bubble

848
00:51:24,000 --> 00:51:27,640
Speaker 1: stores on the right hand side of the website. It's

849
00:51:27,640 --> 00:51:30,320
Speaker 1: all high quality. Maybe I don't know. I hope it is.

850
00:51:30,640 --> 00:51:34,440
Speaker 1: WE hope. Yeah, nobody's complained yet. Dishwasher safe I think.

851
00:51:36,840 --> 00:51:41,320
Speaker 1: I don't know. I don't think the stickers are. I

852
00:51:41,360 --> 00:51:44,399
Speaker 1: don't think so either. Um, well, all of that having

853
00:51:44,480 --> 00:51:46,800
Speaker 1: been said, I think we're going to go ahead and

854
00:51:46,960 --> 00:51:51,919
Speaker 1: just get on out of here. Yeah, I jitterbugging obvious something. Yeah,

855
00:51:52,400 --> 00:51:57,000
Speaker 1: damn it. You took away what I was gonna say. Oh,

856
00:51:57,520 --> 00:51:59,799
Speaker 1: I'm gonna use a bat channel. It's a bat chat

857
00:52:00,239 --> 00:52:14,080
Speaker 1: back channel to the everybody. Hi food, Thinking Sideways is

858
00:52:14,160 --> 00:52:17,120
Speaker 1: not brought to you by a severed head. Oh yes,

859
00:52:17,200 --> 00:52:59,680
Speaker 1: it is brought to you by a severed head m