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

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

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

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Speaker 1: welcome back to the show. My name is Matt, my

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Speaker 1: name is Noel. They call me Ben. We're joined with

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Speaker 1: our super producer Paul Mission controlled decade. Most importantly, you

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Speaker 1: are you, we hope, and you are here that makes

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Speaker 1: this stuff they don't want you to know. Let's cut

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Speaker 1: to the chase. Usually we save this till the end

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Speaker 1: of the show. We say, find us on Instagram, find

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Speaker 1: us on Twitter, find us on Facebook, catch us outside

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Speaker 1: how about that? But today we're going to take care

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Speaker 1: of all of that in the front. Yes, the rumors

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Speaker 1: are true. We're on all of those social media platforms.

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Speaker 1: You may have also heard us talk about something that's

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Speaker 1: very close to our collective heart. That is our new

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Speaker 1: community page on Facebook. It's called Here's where it Gets Crazy.

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Speaker 1: If you're somehow not on there yet, go ahead, get

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Speaker 1: THEE to a computer, mobile device and sign up because

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Speaker 1: this place has become our go to resource for some

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Speaker 1: fascinating stories, post inspirations, for topics. I think we're also

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Speaker 1: big fans behind the curtain here. We're big fans of

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Speaker 1: the memes. There's some pretty uh pretty top tier meme

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Speaker 1: makers there, dude, So I I need you guys to

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Speaker 1: help me with this. Somebody posted a picture of an

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Speaker 1: armadillo with a tarp or a jacket on it and

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Speaker 1: it said Noel Brown told me to do this, and

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Speaker 1: I do not understand the reference. Do you guys get it?

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Speaker 1: And we'd have to go back through the armadillo mentions

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Speaker 1: and references? I don't think we have Do we tag those?

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Speaker 1: We can? We are they searchable? And an archive? Here's

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Speaker 1: the brilliant thing we can just have. You can log

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Speaker 1: onto the thread and say, hey, what is this? Literally

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Speaker 1: what I'm doing? I love this, but I'm a right,

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Speaker 1: I don't get it. That's that's right, folks, because all

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Speaker 1: three of us actively participate on this platform along with

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Speaker 1: our excellent mods. Paul, can we get a an applause

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Speaker 1: queue for our mods? There we go, right, because they're

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Speaker 1: they're doing solid work. They're humans. They're not even bots. No, no,

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Speaker 1: they are organic mods. We're going old school. They're organically grown.

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Speaker 1: They have genetically modified their body. Yeah, yeah, organically. Oh wow,

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Speaker 1: So it's a nice little mixture there, and we know

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Speaker 1: a lot of times people will pay lip service to

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Speaker 1: these kind of things. Oh go check out this thing

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Speaker 1: that will never personally read or whatever, but that couldn't

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Speaker 1: be further from the truth. So today we wanted to

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Speaker 1: take a second to introduce you to some of your

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Speaker 1: fellow listeners. Kind of enough about us, what about you

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Speaker 1: situation we were looking through. Here's where it gets crazy,

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Speaker 1: because we wanted to mention a couple of stories on

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Speaker 1: the show, but as we were digging into things, we

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Speaker 1: found that there were so many great suggestions, comments and

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Speaker 1: questions that this became its own episode. And stay tuned, folks,

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Speaker 1: because you just might make an appearance in this very episode.

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Speaker 1: It's kind of a grab bag thing, like when we

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Speaker 1: had Lucky Yates from archer On, or when we had

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Speaker 1: a couple of listener mail episodes. You know, we don't

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Speaker 1: grind out the listener mail episodes on the regular, and

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Speaker 1: lately we've had such kind of extensive topics that we've

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Speaker 1: been having a hard time fitting those into the episodes.

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Speaker 1: So it's really fun to do these kind of hodgepodge

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Speaker 1: episodes where we get to kind of take many dives

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Speaker 1: into some pretty awesome topics that maybe don't warrant a

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Speaker 1: whole episode on their own. So we went through UH independently,

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Speaker 1: without really consulting each other, and found some stuff that

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Speaker 1: we each personally thought was fascinating. And if you're a

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Speaker 1: long time listener, you know how the three of us work.

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Speaker 1: We ultimately always end up vultronning together, getting a Captain

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Speaker 1: Planet kind of thing going on. So you're going to

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Speaker 1: hear a lot of connections drawn by ourselves and then

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Speaker 1: drawn by your fellow conspiracy realist. Let's see, how should

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Speaker 1: we How should we kick this off? Which we do? First?

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Speaker 1: We've got everything in here. We've got stuff from the

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Speaker 1: nature of consciousness, the dangers of DNA, gluten. Yeah, I

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Speaker 1: mean we can. My stomach is rumbling and making weird sounds,

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Speaker 1: so let's go ahead and start with gluten. I feel

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Speaker 1: like that's a good thing to get it out of here.

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Speaker 1: So Kelsey Hill wrote into us, and that name sounds

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Speaker 1: familiar to me. I'm pretty sure at least have just

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Speaker 1: been reading stuff that you've sent before. Kelsey. I can't

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Speaker 1: remember if we've read something on the show, but hello

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Speaker 1: to you. You said, Hi, y'all, I had a question

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Speaker 1: in reference to all the food episodes and discussions of

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Speaker 1: food conspiracies and such concerning gluten. My partner suffers from

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Speaker 1: moderate to severe gluten's pensitivity not CELIAX and cannot ingest

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Speaker 1: any wheat products without ramifications for his body energy level, mood,

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Speaker 1: et cetera. And Kelsey also says that his immediate family

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Speaker 1: also experiences this to varying degrees. But what's really interesting

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Speaker 1: is that his parents, when in Europe, could eat gluten

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Speaker 1: without consequence. And I've heard from other people with gluten

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Speaker 1: sensitivities that they're able to ingest wheat from certain countries

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Speaker 1: that are not the United States. UM. And this led

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Speaker 1: Kelsey to think that its like, could it be the

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Speaker 1: pesticides or something else. I think that's going on with

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Speaker 1: the US wheat and how it's produced causing this kind

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Speaker 1: of sensitivity. UM. So anyway, she's she asking a question

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Speaker 1: about that. I looked into it a little bit. So

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Speaker 1: I've got a few things that we can cover here

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Speaker 1: and we can all kind of go over, yeah, lay

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Speaker 1: it up, lay it on us. So the first thing, Kelsey,

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Speaker 1: is that we've got a House to Works article called

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Speaker 1: is American Wheat different? From European wheat. It was written

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Speaker 1: by Bambi Turner in two thousand and fifteen, and in

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Speaker 1: this article it states that around sixty of United States

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Speaker 1: wheat production is of the hard red wheat variety, and

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Speaker 1: then just twenty consists of soft wheat. Now, in Europe,

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Speaker 1: the principal strains of wheat are generally that of the

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Speaker 1: soft variety. So there's a difference here between the heart

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Speaker 1: and the soft. So let's look at that. Yeah, what

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Speaker 1: what's the difference. Well, the hard wheat has more gluten

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Speaker 1: than the soft wheat, and the gluten it contains in

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Speaker 1: the hard wheat is much stronger than that which is

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Speaker 1: found in the soft wheat. This tough gluten, it says,

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Speaker 1: is ideal for baking. It's you'll find it in the

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Speaker 1: fluffy bread that everybody here in the United States is

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Speaker 1: just used to consuming. Unless you're into those hardbreads, sure,

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Speaker 1: but you might be, Oh, all right, there's also a

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Speaker 1: un arelated thing. There's also a ton of sugar in

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Speaker 1: a lot of US bread, especially mass market. Oh yeah, absolutely,

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Speaker 1: which is a whole other thing that we're kind of

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Speaker 1: kind of get into here. Um. Yeah. And also, lastly,

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Speaker 1: in this article, It's important to keep in mind that

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Speaker 1: while the United States imports very little wheat, you're up

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Speaker 1: actually imports about one point one million tons of American

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Speaker 1: wheat every year. So you you know, even if you're

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Speaker 1: you're a significant other in his family are in Europe

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Speaker 1: or other people are in Europe and they're eating wheat,

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Speaker 1: it might be American wheat. Now have you heard of

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Speaker 1: this notion that gluten sensitivity might not be a thing

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Speaker 1: at all? Oh, my friend, that is the one of

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Speaker 1: the most controversial things that you could say right now.

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Speaker 1: I know, I know, I'm just saying. There's a study.

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Speaker 1: Fifty nine people were tested over six weeks. They were

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Speaker 1: given three different like cereal bars. One contained gluten, the

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Speaker 1: other contained this thing called fructin, and then the other

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Speaker 1: one contained neither and um. They rated their discomfort based

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Speaker 1: on consuming this. Twenty four people um had the most

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Speaker 1: discomfort from the fructin, twenty two from the placebo, and

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Speaker 1: then thirteen from the gluten. So this study concludes or

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Speaker 1: the notion is that it's frukedne that people are sensitive

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Speaker 1: to and not gluten, but celiac is obviously it's still

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Speaker 1: its own thing. It's interesting that you say that because

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Speaker 1: in an article on the Independent regarding what I believe

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Speaker 1: is the same study, they also cite the They also

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Speaker 1: cite the let's say, misdesignation of causation here by saying,

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Speaker 1: you know, you may have heard about gluten, right or

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Speaker 1: you may have felt that you developed gluten sensitivity, which

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Speaker 1: a lot of people have also said, right, yeah, you

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Speaker 1: notice when you eat something with wheat in it or

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Speaker 1: gluten your stomach hurts, But that this might not be

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Speaker 1: again the primary cause. And what's what's fascinating too. I

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Speaker 1: know a lot of people are gonna wonder about this. Earlier, Matt,

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Speaker 1: you quoted excellent statistics of US wheat is hard red

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Speaker 1: wheat three percent, I believe you said, is the softer variety.

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Speaker 1: The big question is what's in that seven percent? It?

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Speaker 1: Oh yeah, what's the other percent? Well, I know there's

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Speaker 1: um I know. I honestly, I'm not a wheat expert.

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Speaker 1: I don't know where this falls. But the Durham wheat,

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Speaker 1: which is a specific kind of wheat that's made they

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Speaker 1: call it pasta wheat, it's much harder. And I don't

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Speaker 1: know if that's the hard red wheat or a different wheat,

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Speaker 1: but that one is produced in it, it's treated differently

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Speaker 1: than a lot of the others. And like many many

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Speaker 1: of you folks listening out there, we have had those

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Speaker 1: conversations with friends, family members, significant others who do not

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Speaker 1: have celiacs, but uh do feel are convinced that their

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Speaker 1: lives are better without having gluten in their diet. And

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Speaker 1: at that point too, you have to wonder the big

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Speaker 1: question about whether non celiac gluten sensitivity is is real

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Speaker 1: or if it's just misunderstood. You have to wonder whether

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Speaker 1: you should bother So, like, if someone's not hurting someone

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Speaker 1: and they're following a diet that makes them happy, it

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Speaker 1: makes them feel better, then what what's the problem? You

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Speaker 1: know what I mean? Yeah, there's no there's no really

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Speaker 1: big problem. The biggest thing is our companies jumping on

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Speaker 1: the bandwagon so much because they know there's so much

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Speaker 1: profit to be made in a gluten free fat if

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Speaker 1: there's an environment that's going around. Oh, I'm sure, and

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Speaker 1: it's not necessarily wrong of those companies to do that,

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Speaker 1: but it's definitely something that they wouldn't want you to

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Speaker 1: think about, right, it's wrong if they overstate the case

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Speaker 1: and are misleading about you know the benefits that I

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Speaker 1: don't know. I mean, I guess. I guess that this

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Speaker 1: controversial and the jury is still out. The FDA has

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Speaker 1: very i would say, narrow controls over food advertising here

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Speaker 1: in the US. That's why you can see so many

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Speaker 1: things with all natural on it or organic and although

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Speaker 1: they may feel like a panacea, you know, you may

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Speaker 1: feel better paying a dollar extra for that box of cereal.

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Speaker 1: All natural doesn't really have any kind of quantitative base

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Speaker 1: to it. It's something like in the in the early

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Speaker 1: two thousands when everything was organic, or in the nineties

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Speaker 1: when everything was digital. Yeah, digital or fat free digital,

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Speaker 1: fat free toaster. But you found some fascinating information about

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Speaker 1: wheat from a survey in as well. Yeah, because Kelsey

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Speaker 1: was asking about pesticides and could that have some kind

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Speaker 1: of side effects on whether or not it hurts our stomachs? Well,

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Speaker 1: the the Agricultural Chemical Use Survey, which it happens every year. Um,

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Speaker 1: they focused on wheat. And if you go there's a

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Speaker 1: couple of websites you can go to. I would just

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Speaker 1: go to the u s d A, the United States

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Speaker 1: Department of Agriculture website. If you're interested in this and

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Speaker 1: you can find all of the different surveys that have occurred,

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Speaker 1: and with this wheat one, they looked at pesticides, herbicides,

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Speaker 1: and insecticides, and they just went to sixteen different states,

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Speaker 1: and the sixteen states that went to and surveyed that

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Speaker 1: accounts for eighty seven percent of the fifty four point

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Speaker 1: six million acres of wheat in the United States that's grown.

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Speaker 1: So that's it's it's most of the wheat growing in

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Speaker 1: the United States. They surveyed, and they found that herbicides

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Speaker 1: were the most commonly used class of chemicals that's just

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Speaker 1: for the unwanted plant growth. And they were applied to

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Speaker 1: sixty of winter wheat, of spring wheat, and of that

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Speaker 1: hard Durham wheat, yeah, exactly. And then fungicides were used

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Speaker 1: in nineteen percent of winter wheat, fifty one percent of

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Speaker 1: spring wheat, and fifty five percent of Durham wheat. And

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Speaker 1: pesticides the main one that we're looking at here because

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Speaker 1: it's actually killing animals, that's what this is meant to do.

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Speaker 1: Um they were used in five percent of winter wheat,

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Speaker 1: percent of spring wheat, and five percent of Durham wheat.

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Speaker 1: So it's quite a bit lower actually, in all of that,

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Speaker 1: If you think about all of that wheat that's produced,

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Speaker 1: pesticide use isn't really even a factor, uh, not near

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Speaker 1: as much as herbicide or fungicide exactly, which are also

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Speaker 1: chemicals that are meant to do harm to organic things.

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Speaker 1: Um And I guess the problem here is that when

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Speaker 1: you start drilling down into into some of these statistics

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Speaker 1: that the us d A offers a lot of, it

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Speaker 1: doesn't actually show you precisely which pesticides are used. It

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Speaker 1: will show you which herbicides are used. There was a

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Speaker 1: whole section in there about that, but the pesticides wasn't

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Speaker 1: even really a big thing that I could find at least.

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Speaker 1: And Monsanta recently, uh recently had a ruling in court

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Speaker 1: that allows nonprofits to sue them for misleading pesticide information.

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Speaker 1: I mean, that's still continuing. Everybody. Everybody thought we would

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Speaker 1: be in a little tinfoil hat when we talked about

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Speaker 1: neo nicotinoids and their effect on bee colonies. These things

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Speaker 1: interact in ways we might not understand. Did you guys

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Speaker 1: hear that mons Santo is apparently considering getting into the

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Speaker 1: marijuana game. Yes, what do you think are they going

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Speaker 1: to make terminator seeds right, terminating right, it's cannabis seeds.

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Speaker 1: Mono agriculture can go in any direction. There's a there's

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Speaker 1: a lot of money to be made in that stuff too. Absolutely, Yeah,

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Speaker 1: I mean, I guess it makes sense, but it certainly

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Speaker 1: doesn't seem like the kind of thing that the the

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Speaker 1: freewheel and dope smoking kids are gonna be on board with.

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Speaker 1: You know, no, no, I doubt it. And then also

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Speaker 1: it may be it may be similar to the way

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Speaker 1: that R. J. Reynolds, another large tobacco manufacturers process tobacco.

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Speaker 1: Like if you if you smoke cigarettes, if you smoke

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Speaker 1: camel lights or something, you're you're obviously not just smoking tobacco.

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Speaker 1: There are many additives. So we're gonna take a moment

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Speaker 1: here because you said the word of the day camels,

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Speaker 1: and we're gonna jump down was perfect. We're gonna jump

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Speaker 1: down to something Jay Muka Yama posted. It is an image.

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Speaker 1: If you guys want to pull this up and peruse

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Speaker 1: it with me another one. Yeah, it says Jay says,

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Speaker 1: what more trustworthy group than doctors and clergy? Right? Right?

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Speaker 1: And the image posted is a camel cigarettes ad and

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Speaker 1: it says According to repeated nationwide surveys, more doctors smoke

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Speaker 1: camels than any other cigarette. Doctors in every branch of

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Speaker 1: medicine were asked what cigarette do you smoke? The brand

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Speaker 1: named most was camel. Yeah, the Doctor's Choices, America's choice.

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Speaker 1: That's also in the ad. It's it's got a little

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Speaker 1: bit of gray at the temples. So he's still like

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Speaker 1: he's he's wise perhaps his years, and he's he's profoundly chill. Yeah,

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Speaker 1: this is interesting. This is only one of many of

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Speaker 1: these old, very misleading advertisements, right, but it does also

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Speaker 1: show us, um that we we have always lived here

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Speaker 1: in the US in a society that makes quite a

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Speaker 1: bit of coin off of convincing people that unhealthy thing

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Speaker 1: are gonna be just fine over Like all the advertisements

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Speaker 1: for lard, did you ever read those? Man? I gotta

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Speaker 1: reach it on this copy that make this sense. Little

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Speaker 1: test smoke only camels for thirty days, and see how

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Speaker 1: well camels please your taste, how well they suit your throat.

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Speaker 1: As your steady smoke, you'll see how enjoyable a cigarette

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Speaker 1: can be. I love that idea. Just try it out

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Speaker 1: for thirty days. Just just buy our cigarettes and smoke

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Speaker 1: them all the time for thirty days, and you'll notice

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Speaker 1: that it's you really like it. Will certainly notice the

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Speaker 1: profits one way or the other. But there's you know,

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Speaker 1: this also smacks of Edward burd With with the when

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Speaker 1: he when he conflated the idea of women's suffrage and

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Speaker 1: Lucky Strike cigarettes right and had had people wear green

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Speaker 1: and smoke in public. It was a very clever way

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Speaker 1: of moving the profit needle. But again, I think these

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Speaker 1: are these are still somewhat related because we're talking we're

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Speaker 1: still talking about mono agriculture, right, and we're talking about

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Speaker 1: additives and put into food. I don't know about you guys,

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Speaker 1: but when we did several terrifying things you may have

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Speaker 1: just eaten, it affected my weekend. Oh man. Josie has

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Speaker 1: a really great comment on this image. Uh. It says

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Speaker 1: all drugs have to have fake ads because if they

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Speaker 1: really told you what's real, it would just be all

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Speaker 1: the stuff they say really quickly at the end, he says, sugar, alcohol, tobacco, opioids, gambling, pharmaceuticals,

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Speaker 1: all drugs, we'd would probably be the only drug that

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Speaker 1: would have honest commercials. Uh. Well, if Monsanto or another

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Speaker 1: large agricultural concern gets ahold of it, they won't be honest.

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Speaker 1: Commercials going to change the tide. Yeah, and we'll have

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Speaker 1: things where where you'll see somebody smoking and joining or

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Speaker 1: something that it goes out part way through and they're like,

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Speaker 1: oh man, now I have to start my reggae record

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Speaker 1: it all over again, and you'll have the voice. Has

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Speaker 1: this ever happened to you? Try monsanto, easy burn, guaranteed

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Speaker 1: smooth all day long. Apparent means in the couch you

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Speaker 1: heard of this according to you know people, according to

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Speaker 1: according to our producer Paul, No, don't throw don't throw

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Speaker 1: in the in the couch. Don't throw them in the couch.

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Speaker 1: But Matt, going back to the going back to some

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Speaker 1: of the stuff you were digging into regarding gluten and wheat,

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Speaker 1: it seems like you're you're trending toward the idea that

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Speaker 1: there may be something else to play here. Is that correct? Well? Yeah, sure,

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Speaker 1: And I think there are a lot of different things

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Speaker 1: going on, a lot of different reasons to to have

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Speaker 1: some kind of sensitivity in this way. And I definitely

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Speaker 1: don't think it's made up. I think just it's we're

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Speaker 1: having a hard time as a society nailing down all

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Speaker 1: the things that we're doing to our food, and which

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Speaker 1: ones are working in concert with each other and which ones,

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Speaker 1: you know, what's what's the actual culprit here? There might

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Speaker 1: be one thing that we can find here, and that's

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Speaker 1: this thing called fodd maps, which I love, the dastardly

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Speaker 1: fodds like a roll doll creature. Well, it stands for

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Speaker 1: fermentable oligo die and monosaccharides and polyoles pollioles. Another character

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Speaker 1: sounds like the fod map, the nooid and the polliols.

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Speaker 1: That's going to be the super producer. Paul's new nickname,

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Speaker 1: Poul y'all, Paul y'all. There's y'all, all y'all, and Paul y'all.

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Speaker 1: That's all y'all and Paul all right, guys. So, these

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Speaker 1: are types of carbohydrates or sugars that are found in

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Speaker 1: certain foods, and these might be difficult for some people

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Speaker 1: to digest. Here are a few examples of things with

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Speaker 1: these carbohydrates. Milk, bananas, asparagus, honey beans, mushrooms, fruit, califlower,

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Speaker 1: anything with certain food additives, and anything with sorbidoll or

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Speaker 1: xylatol and other sugar free sweeteners. There's a whole ton

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Speaker 1: of things that have these carbohydrates in them. And here's

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Speaker 1: why they could be a big problem. Like we said,

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Speaker 1: they're hard to digest. Um, there was a study done.

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Speaker 1: There's a study here you can find at gastro Journal

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Speaker 1: dot org and it says no effects of gluten and

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Speaker 1: patients with self reported non Celiac gluten sensitivity after dietary

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Speaker 1: reduction of fermentable poorly absorbed short chain carbohydrates or these

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Speaker 1: what do we call them fod maps. Okay, so if

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Speaker 1: we jumped down in here, we it shows that all

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Speaker 1: of the patients in this study, if you're looking through

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Speaker 1: the abstract, all of them removed these fod maps from

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Speaker 1: their diet, and all of them said that they or

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Speaker 1: had at least decreased effects or feelings of gastro intestinal

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Speaker 1: issues after cutting this stuff out, and they could eat gluten.

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Speaker 1: They had no problems eating gluten when stuff was out. Um,

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Speaker 1: I don't know. That's that's just really interesting to me

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Speaker 1: that that whole idea of fod maps. I've never heard

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Speaker 1: of these. The way I found them is by watching

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Speaker 1: this video called three Gluten Myths. Uh. You can find

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Speaker 1: it on the how stuff works YouTube channel. I don't

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Speaker 1: think we need to have people go out of their way. Yeah, yeah,

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Speaker 1: you should just stop stop driving right now, pull over

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Speaker 1: and watch three gluten myths. You'll find Mr Ben Bolan

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Speaker 1: in a stuff they Don't want you to know shirt

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Speaker 1: making the grandest entrance to a video I've ever seen

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Speaker 1: the classic stuff they don't want you to know t

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Speaker 1: So the thanks Matt. Also, even more importantly, Matt, thank

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Speaker 1: you for providing the information in the video. So people

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Speaker 1: have saved time. They don't have to go see that.

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Speaker 1: That's only one of the myths. Alright, yeah, so you

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Speaker 1: found some other You found some other stuff as well

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Speaker 1: from the BBC. Is that correct? That also relates to

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Speaker 1: thought maps. Just finding uses the safe fot map, no problem,

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Speaker 1: just because Kelsey was comparing the American wheat to European wheats.

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Speaker 1: So according to BBC, more than four million people in

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Speaker 1: the UK suffer from irritable vowel syndrome. That is an

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Speaker 1: unfortunate statistic, and research shows that up to eight people

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Speaker 1: who follow a low fod map diet notice a significant

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Speaker 1: improvement in symptoms. So how difficult would it be too?

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Speaker 1: Just like the camel cigarette ads of old. How difficult

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Speaker 1: would it be for someone to try this out for

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Speaker 1: thirty days to cut out thought maps? Well, if you

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Speaker 1: try our fod map diet for thirty days, you're gonna

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Speaker 1: love the mouth field. The problem is the problem is

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Speaker 1: it's extremely difficult to do this unless you have someone

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Speaker 1: you're working with or a plan that you're following because attritionists, yeah, yeah,

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Speaker 1: and which costs money and a lot of us can't

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Speaker 1: afford that. But you can find things online that will

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Speaker 1: show you exactly what you can cut out and what

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Speaker 1: you should at least avoid or just lesson. It is difficult,

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Speaker 1: but I just want to say, hey, you can do

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Speaker 1: it out there. My wife is going through something. She's

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Speaker 1: cutting out candida, which is a whole other thing. It's

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Speaker 1: like a yeast. Um. It's crazy difficult, but we're getting

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Speaker 1: by and we're not spending a ton more money than

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Speaker 1: we usually would. So just go out there and you

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Speaker 1: could do it and feel better. I want to try

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Speaker 1: a fat diet, Okay, can I do the South Beach

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Speaker 1: diet and I bring that back done? Also, there's another

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Speaker 1: thing we could mention, Well, there's one thing we must mention.

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Speaker 1: We are not medical professionals. This is not medical advice,

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Speaker 1: but it appears there's much more to the story of

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Speaker 1: gluten than you know, the average three minute news report

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Speaker 1: would have us believe. Yes, and that is not all

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Speaker 1: of the research. Just go out there and good luck

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Speaker 1: to you, Kelsey and your significant other in the family,

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Speaker 1: and we want to hear from you. What's what's your take.

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Speaker 1: Have you tried one of those diets where you cut

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00:23:59,119 --> 00:24:02,440
Speaker 1: out certain things things to trace an allergy. If so,

405
00:24:02,880 --> 00:24:05,840
Speaker 1: do you think it worked? Have you? Have you ever

406
00:24:05,960 --> 00:24:08,560
Speaker 1: to Knowle's earlier point, Have you ever tried a fat

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00:24:08,680 --> 00:24:11,919
Speaker 1: diet or what's the craziest one you've ever heard of.

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Speaker 1: I'm sorry, it's inherently dismissive to call it a fat diet.

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Speaker 1: That's not fair. But you know, some of the come

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00:24:17,600 --> 00:24:19,520
Speaker 1: and go though there are certain But again I think

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Speaker 1: it's a product of this advertising culture that we live in,

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Speaker 1: where it's pretty easy because people are looking for solutions

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Speaker 1: to go full bore into something that they don't fully

414
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Speaker 1: understand a lot of the times in the hopes that

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Speaker 1: they'll see some either quick results or some improvement to

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Speaker 1: their quality of life. So I see absolutely no. I mean,

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Speaker 1: that's no dis on that if I thought I could

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Speaker 1: get You know, I tried the paleot thing for a while,

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Speaker 1: so I didn't mean to to sound dismissive. But it's

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Speaker 1: all based on what you said earlier. Man, there's so

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Speaker 1: many combinations and possibilities of things that could be effing

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Speaker 1: us up. As far as you know, the way we

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Speaker 1: feel it's crowdsourced scientific method. That's what fat diets are

424
00:24:59,480 --> 00:25:01,879
Speaker 1: and tells the this work, what doesn't it work? And

425
00:25:02,200 --> 00:25:06,160
Speaker 1: then also it's there's so much marketing inherent there. There's

426
00:25:06,160 --> 00:25:09,959
Speaker 1: the idea of a silver bullet, an instant solution. You know,

427
00:25:10,359 --> 00:25:13,680
Speaker 1: why why should I have to exercise when I can

428
00:25:13,760 --> 00:25:16,879
Speaker 1: just eat grapefruits for a year? I made that one up.

429
00:25:16,920 --> 00:25:18,760
Speaker 1: Please don't eat grape fruits for a year. I'm thinking

430
00:25:18,760 --> 00:25:22,119
Speaker 1: about getting a fecal transplant. That's a real thing. Our

431
00:25:22,160 --> 00:25:25,520
Speaker 1: buddies over at stuff. You should know, have a fantastic

432
00:25:25,600 --> 00:25:27,440
Speaker 1: episode on that. I that stuff to blow your mind,

433
00:25:27,440 --> 00:25:31,160
Speaker 1: does it? I think that you eat in capsule for him? Yeah,

434
00:25:31,440 --> 00:25:34,639
Speaker 1: the technology has gone a long way. There's there's no

435
00:25:34,680 --> 00:25:38,199
Speaker 1: more pooping back and forth forever, which is I've made

436
00:25:38,240 --> 00:25:43,000
Speaker 1: a rum calm reference. Wait, what film is it me

437
00:25:43,080 --> 00:25:45,240
Speaker 1: and you and everyone we know? It's just a fabulous

438
00:25:45,400 --> 00:25:49,480
Speaker 1: film my knowledge of pop cultures. Don't be so hard

439
00:25:49,480 --> 00:25:50,960
Speaker 1: on your stuffing. Should we take a break and then

440
00:25:50,960 --> 00:25:53,280
Speaker 1: do some more of these let's return. We'll be back

441
00:25:53,320 --> 00:26:03,359
Speaker 1: in just a moment, and we're back. Another post that

442
00:26:03,400 --> 00:26:06,680
Speaker 1: really captured our attention. Captured your attention for sure. Noel

443
00:26:07,119 --> 00:26:10,480
Speaker 1: is from a lease hurt who writes to us about

444
00:26:10,800 --> 00:26:14,199
Speaker 1: d NA. Yeah, it's true. It was actually this and

445
00:26:14,240 --> 00:26:17,320
Speaker 1: another one that sort of I'm gonna smash together to

446
00:26:17,800 --> 00:26:20,880
Speaker 1: um make a really good conversation starter. Here a lease

447
00:26:21,320 --> 00:26:25,000
Speaker 1: posted an article from the Associated Press. The headline is

448
00:26:25,119 --> 00:26:27,680
Speaker 1: US wants one million people to share d N a

449
00:26:28,160 --> 00:26:32,160
Speaker 1: health habits for science, of course, And it's so short,

450
00:26:32,160 --> 00:26:33,800
Speaker 1: I'm just going to give you the quick rundown. That's

451
00:26:33,800 --> 00:26:36,640
Speaker 1: one of these little one paragraph ap articles. Um. But

452
00:26:36,720 --> 00:26:39,359
Speaker 1: this is an interesting thing that's happening. US researchers are

453
00:26:39,359 --> 00:26:42,360
Speaker 1: seeking a million volunteers for an ambitious project to learn

454
00:26:42,760 --> 00:26:46,840
Speaker 1: uh to better customize healthcare. The National Institutes of Health

455
00:26:46,880 --> 00:26:50,120
Speaker 1: will open nationwide enrollment on Sunday. UM. And that was

456
00:26:50,520 --> 00:26:53,719
Speaker 1: several weeks ago. UM. So this is happening now for

457
00:26:53,840 --> 00:26:57,080
Speaker 1: what's called the All of Us Project. Officials announced details

458
00:26:57,080 --> 00:26:59,960
Speaker 1: about the study on Tuesday, saying they aim to compare

459
00:27:00,080 --> 00:27:03,800
Speaker 1: or how genes, lifestyles, and environments interact. They hope to

460
00:27:03,920 --> 00:27:07,080
Speaker 1: unravel why some people escape illness and others don't, so

461
00:27:07,119 --> 00:27:10,800
Speaker 1: eventually doctors can better tailor advice on disease prevention and treatment.

462
00:27:11,000 --> 00:27:13,879
Speaker 1: Researchers are seeking volunteers from all walks of life, the

463
00:27:13,960 --> 00:27:16,959
Speaker 1: healthy and the not so healthy. Answers won't come quickly.

464
00:27:17,200 --> 00:27:19,560
Speaker 1: Participants agree to share their medical records, d n A,

465
00:27:20,000 --> 00:27:24,040
Speaker 1: and health habits and be tracked for at least ten years.

466
00:27:24,080 --> 00:27:27,840
Speaker 1: So there's some depth to the study on the X axis. Yeah,

467
00:27:27,880 --> 00:27:32,760
Speaker 1: and there's some depth to this topic because this really

468
00:27:32,800 --> 00:27:37,880
Speaker 1: ties into the whole discussion surrounding things like twenty three

469
00:27:37,920 --> 00:27:41,000
Speaker 1: and me and ancestry dot com and the idea of

470
00:27:41,160 --> 00:27:43,639
Speaker 1: having doing this fun little experiment where you kind of

471
00:27:43,680 --> 00:27:48,760
Speaker 1: get your your family history by putting your your your cells,

472
00:27:49,119 --> 00:27:52,600
Speaker 1: you know, and shipping them off to a company swab cheeks,

473
00:27:52,640 --> 00:27:56,960
Speaker 1: biting the vial um. The implications for that are well

474
00:27:57,000 --> 00:27:59,280
Speaker 1: beyond what we see in front of us right now.

475
00:27:59,400 --> 00:28:04,359
Speaker 1: Oh my god, Yes, this is going to become one

476
00:28:04,640 --> 00:28:08,680
Speaker 1: of the I would say one of the most unexpected

477
00:28:08,720 --> 00:28:13,200
Speaker 1: plot twists of the near future, because we have an

478
00:28:13,280 --> 00:28:19,119
Speaker 1: episode uh coming out pretty soon wherein we dive into

479
00:28:19,280 --> 00:28:22,320
Speaker 1: the story of the original night Stalker and how he

480
00:28:22,480 --> 00:28:26,280
Speaker 1: was captured or ultimately captured, and it was through a

481
00:28:26,400 --> 00:28:30,399
Speaker 1: DNA database, And it's very easy for us to say, well,

482
00:28:30,800 --> 00:28:32,639
Speaker 1: if you haven't taken a DNA test for one of

483
00:28:32,640 --> 00:28:36,040
Speaker 1: these private companies, then you're safe, right. It couldn't be

484
00:28:36,080 --> 00:28:38,840
Speaker 1: further from the truth. If you're related to someone who's

485
00:28:38,840 --> 00:28:42,160
Speaker 1: in the military or law enforcement, some version of your

486
00:28:42,200 --> 00:28:45,040
Speaker 1: DNA is on file. If you're related to someone who's

487
00:28:45,080 --> 00:28:47,400
Speaker 1: ever been to prison, some version of your DNA is

488
00:28:47,400 --> 00:28:50,240
Speaker 1: on file. Depends on which states you go to. The

489
00:28:50,320 --> 00:28:54,040
Speaker 1: laws may change, and the legislation is uh not as

490
00:28:54,080 --> 00:28:56,960
Speaker 1: solid as you would as you would think. So what

491
00:28:56,960 --> 00:29:00,000
Speaker 1: what are some of the implications of this stuff? Well,

492
00:29:00,120 --> 00:29:03,360
Speaker 1: ben A says twenty three and me is a government

493
00:29:03,440 --> 00:29:06,120
Speaker 1: d N a collection program. People pay the government to

494
00:29:06,240 --> 00:29:09,160
Speaker 1: take and analyze their DNA and permanently store the information.

495
00:29:09,480 --> 00:29:12,680
Speaker 1: I think that's probably one extreme of of the the

496
00:29:12,680 --> 00:29:15,520
Speaker 1: way we can view this stuff, that it's directly tied

497
00:29:15,560 --> 00:29:17,960
Speaker 1: to the government, and that it's it's some kind of

498
00:29:18,280 --> 00:29:22,000
Speaker 1: you know, massive database that we're participating in. Everything is

499
00:29:22,040 --> 00:29:26,120
Speaker 1: being catalogued for later use. Is it government sponsor? No,

500
00:29:26,280 --> 00:29:28,600
Speaker 1: it's not on the surface. I mean, I think the

501
00:29:28,640 --> 00:29:33,520
Speaker 1: idea this is a bold claim by this by this individual, um. I.

502
00:29:33,680 --> 00:29:35,479
Speaker 1: But what I'm saying is I think that's sort of

503
00:29:35,480 --> 00:29:39,280
Speaker 1: the extreme um view of what this could possibly be,

504
00:29:39,400 --> 00:29:42,160
Speaker 1: that there is some kind of direct collusion between these

505
00:29:42,200 --> 00:29:47,280
Speaker 1: companies and some unseen government hand. Yeah, I could see

506
00:29:47,320 --> 00:29:50,560
Speaker 1: how that would be extreme and without too many spoilers

507
00:29:50,600 --> 00:29:53,520
Speaker 1: for stuff. One way it could work. I'm not saying

508
00:29:53,560 --> 00:29:55,240
Speaker 1: this is the case, but one way it could work

509
00:29:56,280 --> 00:29:59,440
Speaker 1: is a case where in something like twenty three and

510
00:29:59,560 --> 00:30:04,920
Speaker 1: ME has an agreement where they say, we will not

511
00:30:05,240 --> 00:30:09,920
Speaker 1: currently share your DNA information with anyone other than law enforcement, right,

512
00:30:10,480 --> 00:30:15,080
Speaker 1: but they will allow you to opt in for research

513
00:30:15,160 --> 00:30:18,440
Speaker 1: purposes or opt out. And that means that they are

514
00:30:18,520 --> 00:30:23,480
Speaker 1: then selling or sending the aggregate data to maybe a

515
00:30:23,560 --> 00:30:29,040
Speaker 1: research institute or a new project. Right. But who funds

516
00:30:29,080 --> 00:30:32,520
Speaker 1: that project? If that's the case, If the if the

517
00:30:32,600 --> 00:30:35,800
Speaker 1: US government or some other government is funding a research

518
00:30:35,880 --> 00:30:39,760
Speaker 1: project and that research project is getting the d n A,

519
00:30:40,240 --> 00:30:43,800
Speaker 1: then no, twenty three and me doesn't directly work with

520
00:30:43,880 --> 00:30:48,000
Speaker 1: the government, but the connection still there. It makes me

521
00:30:48,040 --> 00:30:51,720
Speaker 1: think of things like doctor patient privilege, where you know

522
00:30:51,760 --> 00:30:54,520
Speaker 1: where where's the line? Like if if law enforcement are

523
00:30:54,880 --> 00:30:57,320
Speaker 1: seeking information, they reach out of these companies, the companies

524
00:30:57,360 --> 00:31:01,240
Speaker 1: are compelled to provide them with this information. Is that act? Yes,

525
00:31:01,360 --> 00:31:04,320
Speaker 1: that is correct. They are either they can do one

526
00:31:04,360 --> 00:31:07,840
Speaker 1: of two things. They are required to either comply and

527
00:31:07,920 --> 00:31:10,680
Speaker 1: hand over the information and what's called a familial search,

528
00:31:11,200 --> 00:31:15,280
Speaker 1: or they are required to dispute the request and have

529
00:31:15,520 --> 00:31:19,440
Speaker 1: and say as a company to whatever law enforcement agency

530
00:31:19,520 --> 00:31:22,120
Speaker 1: is making the request, they're required to say, no, we're

531
00:31:22,160 --> 00:31:24,920
Speaker 1: not doing it. Here's why. And yet Apple wouldn't give

532
00:31:25,000 --> 00:31:29,239
Speaker 1: up information on those uh those shooters. Remember that they

533
00:31:29,240 --> 00:31:32,920
Speaker 1: wouldn't unlock their phone because they claimed it was a

534
00:31:33,000 --> 00:31:36,320
Speaker 1: breach of their personal data or that they weren't able

535
00:31:36,360 --> 00:31:38,479
Speaker 1: to do it. But everyone knew that they could do

536
00:31:38,480 --> 00:31:39,840
Speaker 1: it if they want to do it. It didn't want

537
00:31:39,840 --> 00:31:42,000
Speaker 1: to open that can of worms and set that precedent.

538
00:31:42,240 --> 00:31:47,240
Speaker 1: So how come our data as sacrosancts but our genetic

539
00:31:47,880 --> 00:31:51,200
Speaker 1: fluids are genetic data? Yeah, that's what I'm saying. It's like,

540
00:31:51,240 --> 00:31:54,240
Speaker 1: how much more personal, can you get. I think it's because,

541
00:31:55,040 --> 00:31:58,440
Speaker 1: again we talked about in the show often, but legislation

542
00:31:58,600 --> 00:32:03,000
Speaker 1: so often lags far behind technological innovation. We don't know

543
00:32:04,000 --> 00:32:07,040
Speaker 1: as a society, we don't know what sorts of laws

544
00:32:07,120 --> 00:32:10,120
Speaker 1: we are supposed to be writing for this. The closest

545
00:32:10,160 --> 00:32:13,360
Speaker 1: thing we have here in the States is something that

546
00:32:13,520 --> 00:32:18,200
Speaker 1: is known as GINA, the Genetic Information Non Discrimination Act,

547
00:32:19,240 --> 00:32:23,360
Speaker 1: which is currently under attack as we record this. There

548
00:32:23,440 --> 00:32:30,520
Speaker 1: are several factions in Congress who want to rework this,

549
00:32:30,720 --> 00:32:34,520
Speaker 1: either some on a state level and some on a

550
00:32:34,560 --> 00:32:38,320
Speaker 1: federal level. The act is from two thousand eight and

551
00:32:38,400 --> 00:32:41,720
Speaker 1: the one sentence explanations the idea that it will protect

552
00:32:41,760 --> 00:32:45,760
Speaker 1: individuals from what they call genetic discrimination in health, insurance

553
00:32:45,760 --> 00:32:49,000
Speaker 1: and employment. So, for instance, let's say all three of

554
00:32:49,120 --> 00:32:54,560
Speaker 1: us got a job at got a job as astronauts,

555
00:32:55,400 --> 00:32:57,240
Speaker 1: all four of us, Paul, you're part of this too.

556
00:32:57,400 --> 00:32:59,360
Speaker 1: So all four of us get a job as astronauts,

557
00:32:59,800 --> 00:33:06,719
Speaker 1: and in the hiring process they say you or you

558
00:33:06,960 --> 00:33:10,960
Speaker 1: or you have a marker on your DNA that shows

559
00:33:11,040 --> 00:33:15,960
Speaker 1: us you have a genetic predisposition toward prostate cancer or something,

560
00:33:16,360 --> 00:33:18,959
Speaker 1: And that doesn't mean you have it. It means your

561
00:33:18,960 --> 00:33:21,640
Speaker 1: ods of getting your higher You can still work here,

562
00:33:22,640 --> 00:33:25,800
Speaker 1: but the insurance company is not going to take you.

563
00:33:26,960 --> 00:33:29,880
Speaker 1: That's that's what would happen. The law is supposed to

564
00:33:29,920 --> 00:33:33,560
Speaker 1: stop that. The law is not effective currently and it's

565
00:33:33,600 --> 00:33:36,240
Speaker 1: going to be less effective as we go on. Interesting

566
00:33:36,400 --> 00:33:40,520
Speaker 1: have you heard of the Sorensen database? What is the

567
00:33:40,560 --> 00:33:44,680
Speaker 1: swords and Data? It's a it's a genetic lab UM

568
00:33:44,720 --> 00:33:48,160
Speaker 1: that's owned by ancestry dot com that claims to have

569
00:33:48,360 --> 00:33:52,640
Speaker 1: to be the foremost collection of genetic genealogy data in

570
00:33:52,680 --> 00:33:57,160
Speaker 1: the world. And there's an article that cat one of

571
00:33:57,160 --> 00:34:00,040
Speaker 1: our moderators on the page posted in response to the

572
00:34:00,080 --> 00:34:02,920
Speaker 1: thread that we're talking about. UM. Headline is how private

573
00:34:03,000 --> 00:34:05,920
Speaker 1: DNA data lad Ohio cops on a wild goose chase

574
00:34:06,160 --> 00:34:08,919
Speaker 1: and linked an innocent man to a twenty year old

575
00:34:09,000 --> 00:34:12,839
Speaker 1: murder case. I remember this what happens weapons well, UM,

576
00:34:12,880 --> 00:34:15,920
Speaker 1: there was a young woman named Angie Dodge who was

577
00:34:16,040 --> 00:34:22,640
Speaker 1: killed in and there was semen collected from the crime scene. UM,

578
00:34:22,680 --> 00:34:24,919
Speaker 1: but the case went cold because they were not able

579
00:34:24,960 --> 00:34:27,920
Speaker 1: to match any DNA to anything that they had in

580
00:34:28,080 --> 00:34:32,120
Speaker 1: their criminal database. But with the advent of all of

581
00:34:32,160 --> 00:34:37,040
Speaker 1: this mining of this genetic stuff that's available to the

582
00:34:37,040 --> 00:34:41,480
Speaker 1: police now because of these databases that are far more vast,

583
00:34:41,760 --> 00:34:44,279
Speaker 1: because it's like Facebook, right, we're just giving it away now,

584
00:34:44,400 --> 00:34:47,200
Speaker 1: you know, so that you know, when you start tapping

585
00:34:47,200 --> 00:34:49,239
Speaker 1: into that, it's a whole another can of worms. Um.

586
00:34:49,280 --> 00:34:55,600
Speaker 1: Apparently they got a false match and it kind of railroaded, um,

587
00:34:55,640 --> 00:35:02,200
Speaker 1: somebody's life. Yeah, and we can as a society attempt

588
00:35:02,239 --> 00:35:06,080
Speaker 1: to compensate people for that that kind of wrongful imprisonment

589
00:35:06,200 --> 00:35:09,600
Speaker 1: or harassment. But you can't give people time back. You

590
00:35:09,680 --> 00:35:14,560
Speaker 1: can't undo the hours or years or in some cases decades.

591
00:35:14,680 --> 00:35:18,120
Speaker 1: This is interesting. They matched the DNA to a man

592
00:35:18,280 --> 00:35:20,879
Speaker 1: who was born in the fifties who did not fit

593
00:35:20,960 --> 00:35:24,960
Speaker 1: the profile of the of the murderer. Um. But they

594
00:35:25,000 --> 00:35:29,320
Speaker 1: still used this information that's just genealogical information to trace

595
00:35:30,239 --> 00:35:35,600
Speaker 1: his line of descendants and they found his son who

596
00:35:35,640 --> 00:35:38,360
Speaker 1: was born in nineteen seventy nine and did fit the

597
00:35:38,400 --> 00:35:43,040
Speaker 1: profile of the murderer. See what they then they started

598
00:35:43,080 --> 00:35:45,920
Speaker 1: digging through his Facebook, right, So we go from you know,

599
00:35:46,200 --> 00:35:48,759
Speaker 1: catalogs of his genes and then we go to catalogs

600
00:35:48,760 --> 00:35:51,600
Speaker 1: of his memories in his life. It's like collected on

601
00:35:51,640 --> 00:35:57,719
Speaker 1: a database voluntarily social available all connected, um, and they

602
00:35:57,800 --> 00:36:01,120
Speaker 1: found out some information about him that he had made

603
00:36:01,160 --> 00:36:05,480
Speaker 1: some films, short films, fictional short films that were violent

604
00:36:05,560 --> 00:36:10,640
Speaker 1: in nature and dealt with homicide. Definitely got so based

605
00:36:10,640 --> 00:36:14,920
Speaker 1: on this information they got a warrant to swab his

606
00:36:14,920 --> 00:36:18,919
Speaker 1: his his DNA and do another match. UM. I really

607
00:36:18,960 --> 00:36:20,520
Speaker 1: recommend going in this story. I don't want to sum

608
00:36:20,600 --> 00:36:22,800
Speaker 1: up the whole thing, but the point is it was

609
00:36:22,840 --> 00:36:25,040
Speaker 1: a real problem for this gentleman, and it didn't it

610
00:36:25,120 --> 00:36:28,279
Speaker 1: proved to not be the case. And of course, you know,

611
00:36:28,360 --> 00:36:31,800
Speaker 1: we're not telling you to never take a DNA test.

612
00:36:31,840 --> 00:36:35,000
Speaker 1: There's a neat thing about it. And realistically, some member

613
00:36:35,040 --> 00:36:38,160
Speaker 1: of your family, if not you directly, one of them,

614
00:36:38,200 --> 00:36:40,960
Speaker 1: is already in one of these databases for sure. And

615
00:36:41,120 --> 00:36:43,800
Speaker 1: just backtrack, guess this article is on the Electronic Frontier

616
00:36:43,840 --> 00:36:47,080
Speaker 1: Foundation um e F dot org. So I mean they

617
00:36:47,080 --> 00:36:49,480
Speaker 1: do have a you know, they've got a line in

618
00:36:49,520 --> 00:36:51,640
Speaker 1: the sand here. This is sort of an advocacy group

619
00:36:51,680 --> 00:36:55,160
Speaker 1: for protecting civil liberties and guarding against this kind of

620
00:36:55,200 --> 00:36:59,239
Speaker 1: exploitation of data. But it's you can't deny the the

621
00:36:59,280 --> 00:37:01,640
Speaker 1: trajectory of the story and how it connects with all

622
00:37:01,680 --> 00:37:04,600
Speaker 1: this other stuff. And despite their mission statement, they do

623
00:37:04,719 --> 00:37:07,759
Speaker 1: a very good job, I would say, of attempting to

624
00:37:07,840 --> 00:37:10,279
Speaker 1: be as objective as possible. No, this is a very

625
00:37:10,560 --> 00:37:13,640
Speaker 1: well written, well researched article, um with a lot of

626
00:37:14,000 --> 00:37:16,680
Speaker 1: real hard facts and references. I mean, I really recommend

627
00:37:16,760 --> 00:37:19,680
Speaker 1: checking it out. How private DNA data lead Ohio cops

628
00:37:19,719 --> 00:37:22,120
Speaker 1: on a wild goose chase and LinkedIn innocent man to

629
00:37:22,200 --> 00:37:25,920
Speaker 1: a twenty year old murder case. I we have to

630
00:37:25,960 --> 00:37:29,080
Speaker 1: ask everyone listening, did you have you already taken a

631
00:37:29,160 --> 00:37:31,799
Speaker 1: DNA test? If so, did you get results that surprise you?

632
00:37:32,680 --> 00:37:34,920
Speaker 1: That stuff is kind of fascinating. Tell you how underwhelming

633
00:37:34,920 --> 00:37:36,560
Speaker 1: my results where I did one for a show I

634
00:37:36,560 --> 00:37:38,960
Speaker 1: worked on with Julie Douglas, who's a coworker of ours,

635
00:37:39,040 --> 00:37:41,040
Speaker 1: and we I did this. This is why I think

636
00:37:41,040 --> 00:37:43,160
Speaker 1: it was the spit vile. I did that one. I

637
00:37:43,200 --> 00:37:45,920
Speaker 1: think it was ancestry. But I was expecting to get

638
00:37:45,960 --> 00:37:49,440
Speaker 1: some like real info, like some hard lineage names and

639
00:37:49,600 --> 00:37:52,080
Speaker 1: family tree type stuff. They just sent me back a

640
00:37:52,160 --> 00:37:55,160
Speaker 1: thing that said I was mainly Nordic, and then they

641
00:37:55,200 --> 00:37:58,760
Speaker 1: gave me a little information packet on what the history

642
00:37:58,800 --> 00:38:01,000
Speaker 1: of Nordic people is. It was a rip off. I

643
00:38:01,040 --> 00:38:04,279
Speaker 1: had paid money for that, I would have been so like,

644
00:38:04,440 --> 00:38:06,799
Speaker 1: did they do a percentage at all? Yeah? I don't

645
00:38:06,800 --> 00:38:08,440
Speaker 1: even remember what it was. It was so underwhelming. I

646
00:38:08,480 --> 00:38:11,520
Speaker 1: just kind of like this, this is dull. I could

647
00:38:11,520 --> 00:38:16,640
Speaker 1: see Nordic. Yeah, uh, just really quickly. I want to

648
00:38:16,719 --> 00:38:18,880
Speaker 1: jump in here with somebody who commented on this thread,

649
00:38:19,160 --> 00:38:24,319
Speaker 1: Joe can Contini. He's playing Devil's advocate over here, and

650
00:38:24,480 --> 00:38:27,600
Speaker 1: I gotta say I kind of agree with him. We've

651
00:38:27,640 --> 00:38:31,120
Speaker 1: talked about all the dangers of this DNA collection, the potentials.

652
00:38:31,440 --> 00:38:34,280
Speaker 1: He says, Look, no science is inherently bad. Knowing people's

653
00:38:34,360 --> 00:38:36,520
Speaker 1: DNA can allow us to predict all kinds of things,

654
00:38:36,560 --> 00:38:39,719
Speaker 1: even how their taste buds taste spice. We can find

655
00:38:39,760 --> 00:38:43,080
Speaker 1: causes to cancers, Alzheimer's, muscular dystrophy, and all kinds of

656
00:38:43,080 --> 00:38:45,480
Speaker 1: other things. It could give us early warning so we

657
00:38:45,480 --> 00:38:48,600
Speaker 1: could save people and help them live longer in better lives. Yes,

658
00:38:48,760 --> 00:38:50,799
Speaker 1: someone could do bad things with it, But is that

659
00:38:50,840 --> 00:38:53,320
Speaker 1: a reason for us not to do something. Should fear

660
00:38:53,400 --> 00:38:56,120
Speaker 1: of big bad brother stop us from moving forward with

661
00:38:56,160 --> 00:38:59,440
Speaker 1: science and technology? Should we get rid of everything because

662
00:38:59,480 --> 00:39:02,040
Speaker 1: it can be you it against us? No? I say no,

663
00:39:02,200 --> 00:39:05,399
Speaker 1: I do not think so goodness, this guy is fiery. Well,

664
00:39:05,400 --> 00:39:10,560
Speaker 1: that's a great, great performance, Joe continue knows. So this

665
00:39:10,680 --> 00:39:14,080
Speaker 1: is a ongoing debate. It's only going to become more

666
00:39:14,200 --> 00:39:19,440
Speaker 1: important as we progress as a society and as a species.

667
00:39:19,719 --> 00:39:22,240
Speaker 1: We want to know where you fall on this line.

668
00:39:22,719 --> 00:39:25,960
Speaker 1: Is it stop? Is that there are some things humanity

669
00:39:26,120 --> 00:39:28,560
Speaker 1: was not meant to do? Or no? Or is it

670
00:39:28,640 --> 00:39:32,000
Speaker 1: forward to the future. Forget the brakes, cut the lines,

671
00:39:32,200 --> 00:39:35,720
Speaker 1: Let's see where we end up by sunset right, jeez,

672
00:39:36,200 --> 00:39:38,640
Speaker 1: like one last little cap that goes along with the

673
00:39:39,120 --> 00:39:42,920
Speaker 1: one you just said. Um. Christie m h says this.

674
00:39:43,040 --> 00:39:45,040
Speaker 1: He says, the people who are most against were afraid

675
00:39:45,080 --> 00:39:46,920
Speaker 1: of this kind of thing. Don't seem to understand how

676
00:39:47,000 --> 00:39:50,040
Speaker 1: DNA works and the very minimal amount of information you

677
00:39:50,080 --> 00:39:52,520
Speaker 1: give them via spit It's a single book on a

678
00:39:52,520 --> 00:39:55,480
Speaker 1: shelf of countless others, a single section of data. The

679
00:39:55,520 --> 00:39:58,319
Speaker 1: government already has access to most of that information on you,

680
00:39:58,440 --> 00:40:01,680
Speaker 1: available elsewhere, right under your sleeping patterns, hair type, and

681
00:40:01,760 --> 00:40:05,040
Speaker 1: risk factors for most illnesses. We should still be responsible

682
00:40:05,040 --> 00:40:07,799
Speaker 1: with our data and not just blindly offer it up.

683
00:40:08,040 --> 00:40:10,440
Speaker 1: Or we also need to understand how DNA works and

684
00:40:10,480 --> 00:40:12,879
Speaker 1: just be cautious in all the other areas of our lives,

685
00:40:12,880 --> 00:40:15,279
Speaker 1: that we offer that stuff up without hesitation. You've ever

686
00:40:15,320 --> 00:40:18,120
Speaker 1: needed a blood test, You give them way, way, way

687
00:40:18,200 --> 00:40:20,480
Speaker 1: more information than a spit sample, and are trusting a

688
00:40:20,520 --> 00:40:23,320
Speaker 1: government fund at hospital institution to actually throw it away

689
00:40:23,440 --> 00:40:25,640
Speaker 1: do the right thing by patients in the same way

690
00:40:25,680 --> 00:40:27,600
Speaker 1: you trust a small facility to throw it away if

691
00:40:27,640 --> 00:40:28,920
Speaker 1: you ask them to. It's just something you need to

692
00:40:28,920 --> 00:40:31,800
Speaker 1: pay attention to. I think that's also a great point

693
00:40:31,920 --> 00:40:35,160
Speaker 1: because there's a radical assumption here would we actually be

694
00:40:35,280 --> 00:40:38,239
Speaker 1: revealing something we would want to keep a secret. Most

695
00:40:38,280 --> 00:40:40,880
Speaker 1: of the stuff is probably stuff you don't really know

696
00:40:41,000 --> 00:40:44,560
Speaker 1: about yourself, and it could be medically useful. And we

697
00:40:44,680 --> 00:40:48,000
Speaker 1: have to say, in the interest of fairness that the

698
00:40:48,080 --> 00:40:51,719
Speaker 1: private entities who are doing this have a have a

699
00:40:51,719 --> 00:40:54,640
Speaker 1: hard line. In all of their terms and conditions and

700
00:40:54,640 --> 00:40:58,760
Speaker 1: all of their statements, they say that any information given

701
00:40:59,040 --> 00:41:02,799
Speaker 1: is like the big data argument, it's aggregate, it's anonymous.

702
00:41:02,800 --> 00:41:07,560
Speaker 1: They're not saying, oh, Matt Frederick has the mutant gene

703
00:41:07,640 --> 00:41:11,680
Speaker 1: to be able to live at high altitudes till he's

704
00:41:12,200 --> 00:41:15,960
Speaker 1: they don't know. Their Their argument is this percentage of

705
00:41:16,040 --> 00:41:19,120
Speaker 1: these people living here that have this percentage of this DNA,

706
00:41:20,040 --> 00:41:22,880
Speaker 1: have this percentage of this thing. That's I mean, that

707
00:41:22,960 --> 00:41:25,360
Speaker 1: doesn't sound so unreasonable. You know what does sound a

708
00:41:25,320 --> 00:41:27,799
Speaker 1: little unreasonable is where some of this discussion went. Where

709
00:41:27,800 --> 00:41:32,240
Speaker 1: it started getting into cloning um, which I always find enjoyable. Um.

710
00:41:32,360 --> 00:41:35,680
Speaker 1: First off, someone says Matthew g. Once he found out

711
00:41:35,719 --> 00:41:38,040
Speaker 1: about the clause in the terms of service that says

712
00:41:38,440 --> 00:41:41,239
Speaker 1: companies like Ancestry can keep your DNA for use with

713
00:41:41,320 --> 00:41:44,120
Speaker 1: future technology, he stopped willing to do it. He says.

714
00:41:44,200 --> 00:41:47,440
Speaker 1: Thoughts of ancestry dot com mining colonies full of clones

715
00:41:47,480 --> 00:41:50,440
Speaker 1: of their customers forced into labor on some distant alien

716
00:41:50,480 --> 00:41:54,360
Speaker 1: world filled my nightmares, to which ben A responded, Creating

717
00:41:54,360 --> 00:41:57,560
Speaker 1: a clone requires a fertilized embryo. If you don't inject

718
00:41:57,600 --> 00:41:59,759
Speaker 1: the clone d n A, it just grows up into

719
00:41:59,760 --> 00:42:01,959
Speaker 1: what ever it was going to be already. Why would

720
00:42:01,960 --> 00:42:04,640
Speaker 1: they clone their customers? They can just find one perfect

721
00:42:04,640 --> 00:42:07,640
Speaker 1: slave and copy that person over and over again. Final

722
00:42:07,680 --> 00:42:10,160
Speaker 1: response here, But I don't think the government wants the

723
00:42:10,200 --> 00:42:14,279
Speaker 1: headache of a clone army. There you go, so let

724
00:42:14,400 --> 00:42:17,839
Speaker 1: us know your position on clone armies. We'll be back

725
00:42:17,960 --> 00:42:26,080
Speaker 1: after a word from our sponsor. We have one more threat,

726
00:42:26,200 --> 00:42:30,120
Speaker 1: and it is from Eric A. Eric writes, so this

727
00:42:30,200 --> 00:42:32,360
Speaker 1: is something I've pondered for a while now. The Fermi

728
00:42:32,440 --> 00:42:35,799
Speaker 1: paradox is usually only applied to extraterrestrial life, but there

729
00:42:35,880 --> 00:42:38,719
Speaker 1: isn't an equivalent for figuring out how many different kinds

730
00:42:38,719 --> 00:42:41,799
Speaker 1: of intelligent life could have existed on Earth. A part

731
00:42:41,800 --> 00:42:44,320
Speaker 1: of what started this thought of how many intelligent beings

732
00:42:44,320 --> 00:42:47,440
Speaker 1: could have existed came from research I did after watching

733
00:42:47,560 --> 00:42:50,920
Speaker 1: the documentary Serious Like the Star, Not Like the Mood.

734
00:42:51,480 --> 00:42:54,160
Speaker 1: After this, I decided to explore the question of how

735
00:42:54,200 --> 00:42:57,200
Speaker 1: many different types of humans could have existed? Could the

736
00:42:57,280 --> 00:43:00,680
Speaker 1: alien mentioned in Serious be human? Is a genetic possible

737
00:43:00,719 --> 00:43:03,439
Speaker 1: for human to be that small? And he goes through

738
00:43:03,520 --> 00:43:06,720
Speaker 1: some of the stuff he found. The average man, he says,

739
00:43:06,880 --> 00:43:10,839
Speaker 1: is seventy two inches tall. But this Atacamma man, which

740
00:43:10,840 --> 00:43:14,840
Speaker 1: we talked about in a previous episode, Stephen Greer is

741
00:43:15,040 --> 00:43:18,520
Speaker 1: uh six inches. He says. The tallest known human was

742
00:43:18,640 --> 00:43:22,000
Speaker 1: Robert Wadlow, according to him. And he looks at the

743
00:43:22,040 --> 00:43:26,120
Speaker 1: scale of these and he incorporates gigant Epithecus, and he

744
00:43:26,160 --> 00:43:31,120
Speaker 1: talks about the size differences between smallest largest cetaceans, you know,

745
00:43:31,160 --> 00:43:34,479
Speaker 1: blue whales and so on that he posted as well. Yeah,

746
00:43:34,480 --> 00:43:38,560
Speaker 1: we encourage you to check it out. And he admits

747
00:43:38,600 --> 00:43:41,759
Speaker 1: that what he's done is not a comprehensive study. But

748
00:43:42,160 --> 00:43:45,760
Speaker 1: he wonders something that we've asked before on the show.

749
00:43:46,239 --> 00:43:48,680
Speaker 1: He wonders whether some of those legends and pieces of

750
00:43:48,680 --> 00:43:53,120
Speaker 1: folklore about the small folks or giants, you know, if

751
00:43:53,200 --> 00:43:59,640
Speaker 1: they came from some other early mixtape of what would

752
00:43:59,680 --> 00:44:03,040
Speaker 1: become Homo sapien. And this is a fascinating to us

753
00:44:03,080 --> 00:44:07,280
Speaker 1: because we went we went back when the dennis Ovans

754
00:44:07,320 --> 00:44:14,960
Speaker 1: were discovered. We did early man right neandertal Dennisovans sp Yes.

755
00:44:15,239 --> 00:44:17,600
Speaker 1: Just so, the ones that would be the so called

756
00:44:17,719 --> 00:44:21,680
Speaker 1: island hobbits only discovered in two thousand and three. That's

757
00:44:21,760 --> 00:44:26,360
Speaker 1: super recent, right, and they've so far only been discovered

758
00:44:26,480 --> 00:44:31,560
Speaker 1: in Indonesia. Their society or that they were alive at

759
00:44:31,640 --> 00:44:34,480
Speaker 1: least somewhere between a hundred thousand and sixty thousand years ago.

760
00:44:34,920 --> 00:44:37,400
Speaker 1: And here's the thing. Although they were about three ft

761
00:44:37,480 --> 00:44:41,240
Speaker 1: six inches tall and they had tiny brains, they made tools,

762
00:44:41,800 --> 00:44:48,160
Speaker 1: They hunted elephants, small island elephants, and they also got

763
00:44:48,320 --> 00:44:51,440
Speaker 1: in you know, street fights with Komodo dragons that was

764
00:44:51,480 --> 00:44:55,640
Speaker 1: one of the predators of this life form. And the

765
00:44:55,760 --> 00:44:59,040
Speaker 1: big question that first came out with when with this

766
00:44:59,200 --> 00:45:03,239
Speaker 1: discovery was as well, is this a different species or

767
00:45:03,360 --> 00:45:05,879
Speaker 1: is this just a group of people that have maybe

768
00:45:05,920 --> 00:45:08,960
Speaker 1: shared a medical condition due to inbreeding or a small

769
00:45:09,280 --> 00:45:15,000
Speaker 1: population size. Is this instead um a group of people

770
00:45:15,040 --> 00:45:19,960
Speaker 1: who lived somewhere long enough to uh to be affected

771
00:45:20,000 --> 00:45:23,560
Speaker 1: by island dwarfism. Right now, people will tell you that

772
00:45:24,080 --> 00:45:26,960
Speaker 1: at least if you look at the Smithsonian current research,

773
00:45:27,280 --> 00:45:29,600
Speaker 1: you'll see people say that there are as many as

774
00:45:29,800 --> 00:45:36,879
Speaker 1: twenty different species of early human counting counting our hobbits here.

775
00:45:37,719 --> 00:45:42,320
Speaker 1: But here's the thing, even now, the experts don't agree.

776
00:45:42,719 --> 00:45:47,279
Speaker 1: Some people will tell you that one species is fictitious

777
00:45:47,280 --> 00:45:49,840
Speaker 1: because all they found was a bone from something It

778
00:45:49,840 --> 00:45:51,800
Speaker 1: could have been a pre existing species, and they just

779
00:45:52,000 --> 00:45:54,960
Speaker 1: wanted the acclaim. They wanted to be the person who

780
00:45:55,000 --> 00:46:00,480
Speaker 1: discovered a new thing. What we what we do know, however,

781
00:46:00,880 --> 00:46:05,480
Speaker 1: is that we can only tell the intelligence of a

782
00:46:05,600 --> 00:46:10,560
Speaker 1: lot of other early human species by looking at the

783
00:46:10,920 --> 00:46:14,480
Speaker 1: physical remains of what they've done. Right, the how did

784
00:46:14,560 --> 00:46:17,560
Speaker 1: they bury their dead? Did they have an idea of mortality.

785
00:46:18,200 --> 00:46:22,200
Speaker 1: Did they build tools, did they make art right? And

786
00:46:22,320 --> 00:46:24,680
Speaker 1: that's a lot different from being able to get an

787
00:46:24,880 --> 00:46:27,320
Speaker 1: m R I scan or an i Q test or

788
00:46:27,360 --> 00:46:29,960
Speaker 1: send their DNA to ancestry dot com or send their

789
00:46:30,040 --> 00:46:34,840
Speaker 1: DNA to ancestry dot com full circle. I wonder if

790
00:46:34,840 --> 00:46:40,200
Speaker 1: they had any gluten allergies back then. Oh Man, wheels

791
00:46:40,239 --> 00:46:45,920
Speaker 1: within wheels. So we know at least two early early

792
00:46:46,080 --> 00:46:50,759
Speaker 1: versions of humanity did breed with Homo sapience Dennis Ovan's Neanderthal.

793
00:46:51,239 --> 00:46:53,880
Speaker 1: And the reason we know this is because fragments of

794
00:46:54,520 --> 00:46:57,360
Speaker 1: I mean, their souls if you believe in souls, linger

795
00:46:57,440 --> 00:47:00,080
Speaker 1: in our modern day DNA and our bodies are like

796
00:47:00,200 --> 00:47:05,000
Speaker 1: these haunted houses for these ghosts of these other things

797
00:47:05,080 --> 00:47:08,840
Speaker 1: that were so much like human beings. Speaking of ghosts,

798
00:47:09,120 --> 00:47:11,279
Speaker 1: I'm I'm doing it man. I know You've got lots

799
00:47:11,320 --> 00:47:13,800
Speaker 1: more to awesome things to say here. Somebody posted a

800
00:47:14,000 --> 00:47:18,560
Speaker 1: video that said ghosts are real. Did you see that one? Oh?

801
00:47:18,800 --> 00:47:21,720
Speaker 1: What did you watch it? Yeah? It's an infrared camera

802
00:47:22,800 --> 00:47:27,320
Speaker 1: train station. Yes, yes, and it's totally someone passing gas anyway,

803
00:47:28,040 --> 00:47:31,080
Speaker 1: it's a it's a gas ghost. It is. It's a

804
00:47:31,160 --> 00:47:33,279
Speaker 1: gas ghost. All right, Let's get back to the ship.

805
00:47:33,400 --> 00:47:38,400
Speaker 1: Oh well, so so that's the question. The question itself

806
00:47:38,520 --> 00:47:40,760
Speaker 1: is difficult to answer, and it's one of the reasons

807
00:47:40,840 --> 00:47:44,040
Speaker 1: I like it so much, Eric, because we're trying to

808
00:47:44,160 --> 00:47:49,480
Speaker 1: ask about intelligence. Typically, we as a species make this mistake.

809
00:47:49,760 --> 00:47:52,880
Speaker 1: When we ask what intelligence is, we also are asking

810
00:47:53,040 --> 00:47:55,600
Speaker 1: what does it mean to be human? Those two things

811
00:47:55,719 --> 00:48:01,800
Speaker 1: are not necessarily related, right. We know that dolphins, elephants, corvids,

812
00:48:01,840 --> 00:48:05,440
Speaker 1: all kinds of other animals exercise what we would call

813
00:48:06,000 --> 00:48:10,319
Speaker 1: higher cognitive functions, and then even at an even more

814
00:48:10,400 --> 00:48:15,680
Speaker 1: square one level, we have no real definition of intelligence.

815
00:48:16,000 --> 00:48:19,040
Speaker 1: We've been kind of b essen back and forth on

816
00:48:19,160 --> 00:48:23,400
Speaker 1: it for centuries. The i Q test is culturally dependent.

817
00:48:24,360 --> 00:48:28,520
Speaker 1: No one can agree if whether intelligence is like multimodal,

818
00:48:28,880 --> 00:48:31,640
Speaker 1: whether there's a hard number for it, whether it just

819
00:48:31,960 --> 00:48:34,640
Speaker 1: becomes an issue of how competent you are in a

820
00:48:34,719 --> 00:48:39,520
Speaker 1: given environment like the uh. If we're comparing the intelligence

821
00:48:39,600 --> 00:48:45,960
Speaker 1: between say a tiger and an astrophysicist who has um

822
00:48:46,640 --> 00:48:50,320
Speaker 1: you know, who is somehow physically disabled. If we're defined

823
00:48:50,400 --> 00:48:53,640
Speaker 1: by intelligence, then in the jungle, the tiger is going

824
00:48:53,719 --> 00:48:56,399
Speaker 1: to be considered much more intelligent. But if they're both

825
00:48:56,440 --> 00:49:00,239
Speaker 1: asked to write out mathematical formulas or explain VELAs city

826
00:49:00,320 --> 00:49:03,279
Speaker 1: to a bunch of freshmen. Then the astrophysicist is gonna,

827
00:49:03,920 --> 00:49:06,439
Speaker 1: you know, be the clear pick. You don't discount my boy,

828
00:49:06,480 --> 00:49:10,839
Speaker 1: Tiger Man, Come on, Dr t Yes, Tiger And then

829
00:49:11,560 --> 00:49:15,600
Speaker 1: you know I'm ranting a little bit here. But this question,

830
00:49:15,760 --> 00:49:17,640
Speaker 1: just like the DNA stuff we brought up, is going

831
00:49:17,680 --> 00:49:20,640
Speaker 1: to be increasingly important in the near future, because if

832
00:49:20,680 --> 00:49:23,279
Speaker 1: you were listening to this now, there is a very

833
00:49:23,440 --> 00:49:28,280
Speaker 1: very high chance that within your lifetime the first non

834
00:49:28,600 --> 00:49:34,200
Speaker 1: organic machine consciousness will exist, and it will have very

835
00:49:34,360 --> 00:49:38,480
Speaker 1: little in common with us. Right, do you guys remember

836
00:49:38,560 --> 00:49:43,480
Speaker 1: clever Bot? I loved I loved clever butt, But it

837
00:49:43,600 --> 00:49:46,400
Speaker 1: also means it makes me think of, um, was it

838
00:49:46,560 --> 00:49:50,200
Speaker 1: Tay the Microsoft Twitter bot, the one that got really racist?

839
00:49:50,320 --> 00:49:52,680
Speaker 1: Yea quickly it turned into a monster in twenty four

840
00:49:52,719 --> 00:49:54,239
Speaker 1: hours because it was just all about you know that

841
00:49:54,400 --> 00:49:58,960
Speaker 1: Twitter is like a cesspit of of weird agro racist behavior,

842
00:49:59,080 --> 00:50:00,759
Speaker 1: and it was just kind of spitting out what it

843
00:50:00,840 --> 00:50:05,560
Speaker 1: was getting fed. Right, we would think I'm having deja boo, guys.

844
00:50:05,600 --> 00:50:10,640
Speaker 1: I know we recently talked about this. Matt is Matt

845
00:50:10,800 --> 00:50:17,480
Speaker 1: is looking back and forth and wait, wait, no, elaborate,

846
00:50:17,560 --> 00:50:19,880
Speaker 1: what's going on? Oh no, no, we just we had

847
00:50:19,920 --> 00:50:24,520
Speaker 1: a long discussion about Clever Bought in Ta like twenty

848
00:50:24,560 --> 00:50:28,920
Speaker 1: episodes ago. Yes, and I just remember how disturbing it was.

849
00:50:29,000 --> 00:50:31,799
Speaker 1: And you have a mind that was steel trapped my friend, Yeah,

850
00:50:32,840 --> 00:50:35,840
Speaker 1: it was twenty four episodes. Sorry, al right, well we

851
00:50:35,920 --> 00:50:39,880
Speaker 1: stay corrected. Uh. There's a great article that I'll post

852
00:50:40,320 --> 00:50:44,439
Speaker 1: regarding this this question, Eric, and it comes from our

853
00:50:44,600 --> 00:50:50,400
Speaker 1: friend and erstwhile guest Damian Patrick Williams, who recently had

854
00:50:50,440 --> 00:50:55,640
Speaker 1: a conference on technology phenomenology the process of discovering UH

855
00:50:55,800 --> 00:51:00,440
Speaker 1: and consciousness, talked about how we would have to how

856
00:51:00,520 --> 00:51:04,560
Speaker 1: we will have to redefine our our assumptions of intelligence

857
00:51:05,080 --> 00:51:10,360
Speaker 1: when machine consciousness comes into the forefront. And listeners, you

858
00:51:10,480 --> 00:51:13,040
Speaker 1: recall that we already talked about in the past, the

859
00:51:13,200 --> 00:51:16,600
Speaker 1: idea that AI might already be here and is just

860
00:51:16,800 --> 00:51:24,239
Speaker 1: hiding under the guise of bitcoin. What bitcoin is an intelligence? Yeah,

861
00:51:24,360 --> 00:51:27,719
Speaker 1: that was remember it was part two of our cryptocurrency episode. Yeah,

862
00:51:28,360 --> 00:51:30,359
Speaker 1: that was a haze for me. And then of course

863
00:51:30,360 --> 00:51:32,360
Speaker 1: a lot of people would say, well, our human beings

864
00:51:32,480 --> 00:51:37,960
Speaker 1: that intelligent is Earth itself somehow an intelligent superorganism and

865
00:51:38,040 --> 00:51:43,000
Speaker 1: if so, how would we even measure that? You know, now,

866
00:51:43,080 --> 00:51:47,120
Speaker 1: I'm just piling questions on with no answers. But yeah,

867
00:51:47,200 --> 00:51:50,120
Speaker 1: it is a mistake to think that a we have

868
00:51:50,200 --> 00:51:53,320
Speaker 1: intelligence figured out and be that it is solely the

869
00:51:53,480 --> 00:51:59,560
Speaker 1: domain of our specific brand of primate. Agreed. Uh, we

870
00:51:59,640 --> 00:52:02,360
Speaker 1: could keep going. We could keep going because again, we

871
00:52:02,480 --> 00:52:05,600
Speaker 1: love this community page, but we may have to call

872
00:52:05,719 --> 00:52:09,600
Speaker 1: it a day for now and get back into some

873
00:52:09,800 --> 00:52:11,960
Speaker 1: weird research. This is a lot of fun to do.

874
00:52:12,400 --> 00:52:15,880
Speaker 1: Um me personally, I enjoy having these discussions. We can

875
00:52:15,960 --> 00:52:18,360
Speaker 1: kind of move between a couple of different topics, and

876
00:52:18,400 --> 00:52:20,440
Speaker 1: we hope that you like it too and keep it

877
00:52:20,520 --> 00:52:22,359
Speaker 1: coming on the page because this is just a great

878
00:52:22,400 --> 00:52:25,239
Speaker 1: way to have everyone involved directly and also a lot

879
00:52:25,280 --> 00:52:26,759
Speaker 1: of fun for us just to be able to kind

880
00:52:26,800 --> 00:52:30,880
Speaker 1: of have these kind of freewheeling conversations. I dig it, dude,

881
00:52:30,920 --> 00:52:33,760
Speaker 1: same here. And there's so many people we didn't even discuss.

882
00:52:33,880 --> 00:52:36,960
Speaker 1: Hunter Vanio posted a thing about the n x v

883
00:52:37,160 --> 00:52:39,879
Speaker 1: I M that we're I've been digging deep into. Ben.

884
00:52:39,960 --> 00:52:41,719
Speaker 1: I think where we might even cover that for an

885
00:52:41,760 --> 00:52:44,880
Speaker 1: episode at some point. Um. I think it's called nexium.

886
00:52:44,920 --> 00:52:47,279
Speaker 1: I don't know how they pronounce it. All kinds of

887
00:52:47,320 --> 00:52:50,920
Speaker 1: stuff in here that we've just been going through and watching. Um,

888
00:52:51,960 --> 00:52:54,680
Speaker 1: just thank you. You guys are doing an awesome, awesome

889
00:52:54,719 --> 00:52:57,680
Speaker 1: service for us. But we're also really enjoying just spending

890
00:52:57,719 --> 00:53:00,520
Speaker 1: time with you guys. Yes, so drop by a high

891
00:53:00,640 --> 00:53:05,320
Speaker 1: to your fellow listeners. You are all, specifically you, the

892
00:53:05,440 --> 00:53:09,719
Speaker 1: most important part of this show. And this is on Facebook.

893
00:53:09,800 --> 00:53:12,600
Speaker 1: We are active on there. You can hear from us.

894
00:53:13,080 --> 00:53:15,560
Speaker 1: You might sometimes even see one of the mods tag

895
00:53:15,719 --> 00:53:19,280
Speaker 1: us if we said we were going to answer something

896
00:53:19,440 --> 00:53:22,040
Speaker 1: we lagged behind a little bit. Uh. In the meantime,

897
00:53:22,080 --> 00:53:24,480
Speaker 1: you can also find us, as we said on Instagram.

898
00:53:24,600 --> 00:53:27,759
Speaker 1: You can find us on Twitter and you can get

899
00:53:27,840 --> 00:53:31,239
Speaker 1: this Folks call us directly and leave a voicemail and

900
00:53:31,320 --> 00:53:34,719
Speaker 1: we wish you would please. You can call us toll

901
00:53:34,800 --> 00:53:39,080
Speaker 1: free one eight three three st d w y t K.

902
00:53:39,320 --> 00:53:41,160
Speaker 1: Tell us a story, we'll play it on the show.

903
00:53:41,320 --> 00:53:47,759
Speaker 1: We swear. Yeah. Well maybe now with that, of course,

904
00:53:47,920 --> 00:53:50,440
Speaker 1: thank you so much for tuning in. If you have

905
00:53:50,719 --> 00:53:54,600
Speaker 1: questions that you feel maybe aren't ready for the public

906
00:53:54,680 --> 00:53:56,800
Speaker 1: sphere and you want to just speak with us directly,

907
00:53:57,320 --> 00:53:59,960
Speaker 1: we've got to cover there too. We have an email

908
00:54:00,000 --> 00:54:03,279
Speaker 1: address you can write to us we are conspiracy and

909
00:54:03,360 --> 00:54:04,560
Speaker 1: how stuff works dot com